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Full Scoreboard »» |
Columbus Blue Jackets 22-22-5, 49pts · 12th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J.T. Miller | C/LW/RW | 98.00 | 81 | 67 | 69 | 87 | 83 | 90 | 92 | 92 | 85 | 91 | 89 | 84 | 90 | 87 | 83 | 1 | 85 | 31 | 7,500,000$/3yrs | |||||
Jonathan Marchessault | LW/RW | 98.00 | 75 | 46 | 77 | 88 | 72 | 87 | 92 | 91 | 52 | 79 | 89 | 71 | 89 | 87 | 77 | 1 | 81 | 33 | 4,350,000$/1yrs | |||||
Elias Lindholm | C/RW | 98.00 | 74 | 46 | 87 | 82 | 80 | 90 | 91 | 87 | 85 | 81 | 78 | 80 | 82 | 85 | 77 | 1 | 80 | 29 | 8,000,000$/4yrs | |||||
Nazem Kadri | C | 100.00 | 73 | 55 | 71 | 82 | 74 | 88 | 95 | 91 | 73 | 84 | 83 | 69 | 85 | 90 | 80 | 1 | 80 | 33 | 5,000,000$/1yrs | |||||
Seth Jarvis | RW | 98.00 | 75 | 46 | 92 | 92 | 75 | 88 | 79 | 87 | 61 | 80 | 82 | 79 | 87 | 59 | 50 | 1 | 79 | 22 | 975,000$/1yrs | |||||
Tomas Hertl | C | 100.00 | 71 | 47 | 78 | 76 | 85 | 90 | 88 | 85 | 86 | 79 | 78 | 72 | 80 | 85 | 78 | 1 | 78 | 30 | 6,250,000$/4yrs | |||||
Matthew Boldy | LW/RW | 100.00 | 70 | 46 | 73 | 86 | 85 | 87 | 78 | 90 | 61 | 82 | 84 | 72 | 87 | 59 | 50 | 1 | 78 | 23 | 975,000$/3yrs | |||||
Jason Dickinson | C/LW | 100.00 | 80 | 53 | 75 | 81 | 81 | 86 | 88 | 81 | 73 | 74 | 75 | 80 | 79 | 82 | 72 | 1 | 77 | 28 | 2,250,000$/2yrs | |||||
Philipp Kurashev | C/LW/RW | 100.00 | 69 | 46 | 89 | 81 | 79 | 87 | 81 | 83 | 70 | 79 | 74 | 71 | 79 | 63 | 54 | 1 | 75 | 24 | 2,175,000$/3yrs | |||||
Frederick Gaudreau | C/LW | 100.00 | 68 | 44 | 92 | 81 | 73 | 85 | 86 | 78 | 74 | 73 | 70 | 76 | 76 | 79 | 69 | 1 | 75 | 31 | 3,000,000$/2yrs | |||||
Ryan Donato | C/LW/RW | 100.00 | 79 | 62 | 79 | 77 | 76 | 83 | 87 | 82 | 67 | 75 | 73 | 72 | 78 | 76 | 66 | 1 | 75 | 28 | 3,250,000$/3yrs | |||||
Connor Bedard (R) | C | 100.00 | 67 | 40 | 73 | 80 | 75 | 87 | 69 | 79 | 56 | 78 | 76 | 60 | 81 | 52 | 50 | 90 | 72 | 18 | 975,000$/3yrs | |||||
Mattias Ekholm | D | 98.00 | 74 | 53 | 73 | 77 | 86 | 89 | 93 | 86 | 40 | 80 | 74 | 91 | 79 | 88 | 78 | 1 | 81 | 34 | 6,500,000$/3yrs | |||||
Evan Bouchard | D | 100.00 | 73 | 44 | 78 | 88 | 82 | 88 | 85 | 91 | 40 | 87 | 80 | 81 | 87 | 73 | 63 | 1 | 80 | 24 | 4,750,000$/3yrs | |||||
Erik Gudbranson | D | 100.00 | 73 | 71 | 67 | 74 | 87 | 88 | 93 | 78 | 40 | 75 | 68 | 88 | 73 | 88 | 81 | 1 | 79 | 32 | 4,000,000$/2yrs | |||||
David Savard | D | 100.00 | 68 | 47 | 78 | 74 | 88 | 88 | 91 | 77 | 40 | 76 | 68 | 88 | 73 | 88 | 78 | 1 | 78 | 33 | 4,700,000$/4yrs | |||||
Aaron Ekblad | D | 100.00 | 70 | 46 | 65 | 76 | 86 | 91 | 86 | 81 | 40 | 76 | 72 | 80 | 76 | 84 | 80 | 1 | 77 | 28 | 6,500,000$/2yrs | |||||
Jake Walman | D | 100.00 | 67 | 46 | 71 | 83 | 84 | 88 | 82 | 81 | 40 | 69 | 76 | 87 | 80 | 68 | 58 | 1 | 77 | 28 | 1,500,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
Cole Smith | LW/RW | 100.00 | 83 | 75 | 66 | 74 | 79 | 82 | 80 | 74 | 46 | 73 | 67 | 74 | 72 | 62 | 54 | 1 | 71 | 28 | 1,500,000$/2yrs | |||||
Dylan Guenther | LW/RW | 100.00 | 64 | 43 | 82 | 81 | 76 | 83 | 70 | 76 | 46 | 73 | 72 | 68 | 76 | 55 | 50 | 1 | 71 | 21 | 1,200,000$/3yrs | |||||
Nick Perbix | D | 100.00 | 72 | 43 | 86 | 74 | 81 | 83 | 75 | 74 | 40 | 74 | 64 | 78 | 71 | 56 | 50 | 1 | 73 | 26 | 975,000$/1yrs | |||||
Jackson LaCombe | D | 100.00 | 65 | 43 | 81 | 74 | 84 | 85 | 71 | 70 | 40 | 69 | 63 | 74 | 69 | 55 | 50 | 1 | 70 | 23 | 975,000$/2yrs | |||||
TEAM AVERAGE | 99.55 | 72 | 50 | 77 | 80 | 81 | 87 | 84 | 82 | 57 | 78 | 75 | 77 | 80 | 74 | 66 | 5 | 77 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
James Reimer | 0 | 97.00 | 74 | 87 | 87 | 80 | 84 | 82 | 78 | 81 | 82 | 82 | 81 | 89 | 82 | 1 | 75 | 36 | 4,000,000$/1yrs | |
Joseph Woll | 0 | 99.00 | 77 | 71 | 71 | 77 | 76 | 76 | 75 | 76 | 76 | 75 | 70 | 57 | 52 | 1 | 69 | 25 | 2,000,000$/2yrs | |
Scratches | ||||||||||||||||||||
Thatcher Demko | 0 | 95.00 | 91 | 90 | 90 | 80 | 92 | 90 | 90 | 90 | 89 | 91 | 85 | 76 | 69 | 1 | 81 | 28 | 4,500,000$/2yrs | |
TEAM AVERAGE | 97.00 | 81 | 83 | 83 | 79 | 84 | 83 | 81 | 82 | 82 | 83 | 79 | 74 | 68 | 1 | 75 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 88 | 86 | 86 | 85 | 86 | 78 | 1 | USA | 56 | 2 | 500,000$ |
General Manager | Dave Scott |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | J.T. Miller | Blue Jackets | 0 | C/LW/RW | 49 | 28 | 32 | 60 | 7 | 41 | 5 | 123 | 214 | 58 | 119 | 13.08% | 25 | 21.62 | 4 | 10 | 14 | 0 | 1 | 1 | 59 | 2 | 1 | 49.57% | 1 | 1 | 1.22 | 1 | 6 | 1.23 | ||
2 | Seth Jarvis | Blue Jackets | 0 | RW | 49 | 23 | 30 | 53 | 11 | 4 | 0 | 70 | 174 | 65 | 119 | 13.22% | 30 | 21.37 | 7 | 8 | 15 | 1 | 0 | 1 | 81 | 3 | 2 | 50.00% | 0 | 0 | 1.08 | 1 | 6 | 1.21 | ||
3 | Elias Lindholm | Blue Jackets | 0 | C/RW | 49 | 16 | 29 | 45 | 12 | 6 | 0 | 71 | 112 | 37 | 60 | 14.29% | 19 | 22.71 | 5 | 6 | 11 | 0 | 1 | 1 | 135 | 3 | 0 | 53.67% | 0 | 0 | 0.92 | 0 | 0 | 0.94 | ||
4 | Jonathan Marchessault | Blue Jackets | 0 | LW/RW | 49 | 13 | 21 | 34 | -7 | 24 | 0 | 73 | 177 | 51 | 95 | 7.34% | 18 | 19.06 | 2 | 4 | 6 | 1 | 0 | 1 | 33 | 3 | 2 | 45.71% | 0 | 1 | 0.69 | 0 | 1 | 0.71 | ||
5 | Matthew Boldy | Blue Jackets | 0 | LW/RW | 49 | 11 | 16 | 27 | -8 | 14 | 0 | 65 | 147 | 37 | 85 | 7.48% | 15 | 16.50 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 30.77% | 0 | 0 | 0.55 | 1 | 5 | 0.58 | ||
6 | Nazem Kadri | Blue Jackets | 0 | C | 49 | 8 | 13 | 21 | 2 | 29 | 5 | 63 | 108 | 37 | 60 | 7.41% | 14 | 12.34 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 0 | 53.96% | 0 | 0 | 0.43 | 0 | 0 | 0.45 | ||
7 | Jason Dickinson | Blue Jackets | 0 | C/LW | 49 | 10 | 11 | 21 | 3 | 20 | 0 | 64 | 82 | 26 | 44 | 12.20% | 16 | 14.02 | 1 | 0 | 1 | 1 | 0 | 1 | 130 | 3 | 1 | 54.29% | 1 | 0 | 0.43 | 0 | 0 | 0.43 | ||
8 | Evan Bouchard | Blue Jackets | 0 | D | 49 | 4 | 16 | 20 | -9 | 14 | 0 | 42 | 73 | 33 | 23 | 5.48% | 49 | 18.56 | 1 | 5 | 6 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.34 | ||
9 | Tomas Hertl | Blue Jackets | 0 | C | 49 | 8 | 10 | 18 | -8 | 12 | 0 | 51 | 71 | 27 | 39 | 11.27% | 19 | 16.24 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 53.60% | 0 | 0 | 0.37 | 0 | 0 | 0.31 | ||
10 | David Savard | Blue Jackets | 0 | D | 49 | 3 | 11 | 14 | 16 | 19 | 5 | 40 | 46 | 9 | 14 | 6.52% | 50 | 19.95 | 0 | 0 | 0 | 0 | 1 | 1 | 127 | 1 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.36 | ||
11 | Jake Walman | Blue Jackets | 0 | D | 49 | 2 | 10 | 12 | -1 | 30 | 0 | 43 | 58 | 15 | 20 | 3.45% | 70 | 21.77 | 0 | 1 | 1 | 0 | 0 | 0 | 102 | 0 | 0 | 0.00% | 1 | 0 | 0.24 | 0 | 0 | 0.22 | ||
12 | Erik Gudbranson | Blue Jackets | 0 | D | 49 | 0 | 12 | 12 | 18 | 74 | 20 | 61 | 38 | 19 | 22 | 0.00% | 61 | 18.87 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.16 | ||
13 | Frederick Gaudreau | Blue Jackets | 0 | C/LW | 49 | 5 | 7 | 12 | 2 | 2 | 0 | 18 | 48 | 10 | 19 | 10.42% | 5 | 7.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.74% | 0 | 0 | 0.24 | 0 | 0 | 0.27 | ||
14 | Mattias Ekholm | Blue Jackets | 0 | D | 49 | 2 | 10 | 12 | -18 | 43 | 5 | 76 | 64 | 27 | 27 | 3.13% | 64 | 25.63 | 0 | 2 | 2 | 0 | 0 | 0 | 129 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.07 | ||
15 | Philipp Kurashev | Blue Jackets | 0 | C/LW/RW | 49 | 5 | 6 | 11 | 1 | 0 | 0 | 31 | 54 | 12 | 38 | 9.26% | 5 | 7.42 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 57.14% | 0 | 0 | 0.22 | 0 | 0 | 0.28 | ||
16 | Connor Bedard | Blue Jackets | 0 | C | 34 | 4 | 6 | 10 | 6 | 6 | 0 | 29 | 38 | 11 | 29 | 10.53% | 5 | 9.05 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 40.17% | 0 | 0 | 0.29 | 0 | 1 | 0.35 | ||
17 | Aaron Ekblad | Blue Jackets | 0 | D | 49 | 1 | 7 | 8 | 13 | 22 | 0 | 42 | 32 | 8 | 20 | 3.13% | 46 | 16.03 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.23 | ||
18 | Ryan Donato | Blue Jackets | 0 | C/LW/RW | 49 | 3 | 5 | 8 | 3 | 2 | 0 | 42 | 50 | 21 | 28 | 6.00% | 8 | 10.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.16 | 0 | 0 | 0.24 | ||
19 | Nick Perbix | Blue Jackets | 0 | D | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
Team Total or Average | 882 | 146 | 252 | 398 | 43 | 362 | 40 | 1004 | 1586 | 503 | 861 | 9.21% | 519 | 16.49 | 25 | 43 | 68 | 1221 | 3 | 3 | 6 | 969 | 20 | 6 | 52.50% | 3021 | 331 | 337 | 3 | 2 | 0.55 | 3 | 19 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Thatcher Demko | Blue Jackets | 40 | 13 | 21 | 5 | 0.906 | 3.00 | 2323 | 4 | 2 | 116 | 1238 | 551 | 0 | 2 | 0.625 | 16 | 39 | 5 | 1 | 5 | 3 |
2 | James Reimer | Blue Jackets | 12 | 9 | 1 | 0 | 0.922 | 2.51 | 645 | 0 | 0 | 27 | 344 | 159 | 0 | 0 | 1.000 | 3 | 10 | 39 | 1 | 1 | 0 |
Team Total or Average | 52 | 22 | 22 | 5 | 0.910 | 2.89 | 2968 | 4 | 2 | 143 | 1582 | 710 | 0 | 2 | 0.684 | 19 | 49 | 44 | 2 | 6 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ducks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 0 | 1 | 0 | 64 | 29 | 16 | 19 | 0 | 60 | 27 | 15 | 36 | 6 | 1 | 16.67% | 5 | 3 | 40.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 45 | 28 | 39 | 17 | 34 | 16 | 30.8% | 7.8% | 80.0% | 87.8 | Unlucky |
2 | Jets | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 0 | 1 | 60 | 19 | 26 | 14 | 1 | 69 | 24 | 18 | 31 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 40 | 23 | 47 | 18 | 34 | 17 | 50.0% | 6.7% | 91.3% | 98.0 | DULL |
3 | Bruins | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 3 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 95 | 32 | 31 | 32 | 0 | 100 | 41 | 20 | 60 | 9 | 2 | 22.22% | 10 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 63 | 36 | 67 | 26 | 50 | 25 | 25.0% | 5.3% | 91.0% | 96.3 | Unlucky |
4 | Sabres | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 3 | 13 | 9 | 0 | 42 | 5 | 6 | 11 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 20 | 11 | 21 | 9 | 17 | 8 | 25.0% | 4.0% | 92.9% | 96.9 | DULL |
5 | Flames | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 18 | 29 | 0 | 1 | 4 | 3 | 4 | 0 | 76 | 37 | 22 | 17 | 0 | 42 | 11 | 13 | 50 | 9 | 4 | 44.44% | 4 | 1 | 75.00% | 1 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 51 | 32 | 32 | 16 | 36 | 17 | 87.5% | 14.5% | 95.2% | 109.7 | LUCKY |
6 | Hurricanes | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 18 | 13 | 5 | 7 | 0.875 | 18 | 31 | 49 | 0 | 0 | 3 | 9 | 6 | 0 | 141 | 47 | 45 | 49 | 2 | 144 | 47 | 22 | 83 | 10 | 3 | 30.00% | 11 | 3 | 72.73% | 1 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 91 | 56 | 87 | 33 | 66 | 34 | 60.0% | 12.8% | 91.0% | 103.7 | FUN |
7 | Blackhawks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 38 | 17 | 11 | 10 | 0 | 31 | 14 | 4 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 22 | 14 | 22 | 7 | 15 | 8 | 75.0% | 7.9% | 93.5% | 101.4 | DULL |
8 | Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 6 | 10 | 11 | 0 | 30 | 2 | 4 | 25 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 19 | 10 | 22 | 9 | 17 | 8 | 0.0% | 0.0% | 96.7% | 96.7 | DULL |
9 | Red Wings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 27 | 9 | 9 | 9 | 0 | 29 | 14 | 4 | 21 | 8 | 1 | 12.50% | 2 | 1 | 50.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 21 | 11 | 21 | 9 | 17 | 9 | 60.0% | 14.8% | 89.7% | 104.5 | FUN |
10 | Oilers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 4 | 0 | 68 | 18 | 27 | 22 | 4 | 61 | 18 | 8 | 42 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 45 | 25 | 39 | 19 | 39 | 20 | 57.1% | 11.8% | 88.5% | 100.3 | FUN |
11 | Panthers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 14 | 7 | 8 | 0 | 38 | 12 | 6 | 23 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 19 | 12 | 24 | 7 | 16 | 7 | 33.3% | 6.9% | 86.8% | 93.7 | Unlucky |
12 | Kings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 40 | 15 | 12 | 13 | 0 | 25 | 12 | 11 | 14 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 24 | 15 | 18 | 8 | 17 | 8 | 80.0% | 10.0% | 96.0% | 106.0 | LUCKY |
13 | Wild | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 59 | 15 | 16 | 28 | 0 | 63 | 23 | 23 | 42 | 4 | 1 | 25.00% | 9 | 3 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 42 | 23 | 41 | 19 | 35 | 17 | 50.0% | 5.1% | 92.1% | 97.1 | DULL |
14 | Canadiens | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 4 | 2 | 3 | 0 | 107 | 38 | 33 | 36 | 0 | 77 | 38 | 34 | 69 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 66 | 40 | 58 | 26 | 54 | 27 | 64.3% | 8.4% | 92.2% | 100.6 | DULL |
15 | Predators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 8 | 4 | 11 | 0 | 32 | 9 | 4 | 15 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 18 | 8 | 21 | 10 | 19 | 9 | 20.0% | 4.3% | 87.5% | 91.8 | Unlucky |
16 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 31 | 11 | 10 | 10 | 0 | 39 | 13 | 6 | 15 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 22 | 13 | 21 | 7 | 16 | 7 | 37.5% | 12.9% | 84.6% | 97.5 | FUN |
17 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 1 | 11 | 4 | 1.000 | 12 | 21 | 33 | 0 | 1 | 2 | 4 | 6 | 0 | 74 | 17 | 24 | 33 | 0 | 46 | 18 | 14 | 57 | 5 | 3 | 60.00% | 7 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 48 | 29 | 36 | 16 | 35 | 18 | 90.0% | 16.2% | 97.8% | 114.0 | LUCKY |
18 | Rangers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 12 | 9 | 10 | 0 | 39 | 17 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 3.2% | 94.9% | 98.1 | DULL |
19 | Flyers | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 13 | 23 | 0 | 0 | 4 | 4 | 1 | 1 | 103 | 32 | 30 | 41 | 3 | 95 | 25 | 26 | 69 | 10 | 1 | 10.00% | 13 | 3 | 76.92% | 1 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 66 | 37 | 61 | 28 | 56 | 28 | 60.0% | 9.7% | 90.5% | 100.2 | FUN |
20 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 9 | 15 | 1 | 0 | 0 | 4 | 2 | 0 | 63 | 23 | 23 | 17 | 0 | 77 | 24 | 6 | 47 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 41 | 25 | 47 | 16 | 31 | 15 | 41.7% | 9.5% | 88.3% | 97.8 | FUN |
21 | Sharks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 1 | 0 | 0 | 1 | 4 | 0 | 56 | 21 | 14 | 21 | 0 | 55 | 14 | 6 | 43 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 46 | 28 | 37 | 17 | 35 | 17 | 38.5% | 8.9% | 83.6% | 92.6 | Unlucky |
22 | Blues | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 69 | 27 | 25 | 17 | 0 | 72 | 23 | 18 | 30 | 8 | 1 | 12.50% | 9 | 2 | 77.78% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 44 | 26 | 42 | 18 | 33 | 16 | 50.0% | 5.8% | 93.1% | 98.9 | DULL |
23 | Lightning | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 10 | 0 | 3 | 0.750 | 10 | 16 | 26 | 0 | 0 | 2 | 3 | 4 | 2 | 65 | 14 | 33 | 18 | 8 | 73 | 23 | 18 | 39 | 4 | 2 | 50.00% | 9 | 3 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 42 | 24 | 46 | 19 | 40 | 19 | 53.3% | 15.4% | 86.3% | 101.7 | FUN |
24 | Maple Leafs | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 2 | 1 | 72 | 19 | 33 | 19 | 4 | 70 | 15 | 36 | 41 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 46 | 27 | 41 | 19 | 36 | 18 | 46.2% | 9.7% | 90.0% | 99.7 | FUN |
25 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 12 | 6 | 10 | 0 | 29 | 12 | 8 | 24 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 21 | 11 | 20 | 9 | 18 | 9 | 33.3% | 3.6% | 89.7% | 93.2 | Unlucky |
26 | Capitals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 5 | 10 | 0 | 0 | 2 | 0 | 3 | 0 | 54 | 24 | 15 | 15 | 0 | 78 | 25 | 14 | 36 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 40 | 24 | 48 | 16 | 30 | 15 | 50.0% | 9.3% | 93.6% | 102.8 | LUCKY |
27 | Kraken | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 21 | 22 | 18 | 0 | 68 | 13 | 16 | 43 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 43 | 25 | 42 | 18 | 34 | 17 | 60.0% | 8.2% | 94.1% | 102.3 | DULL |
_Vs Division | 15 | 7 | 6 | 0 | 0 | 0 | 1 | 1 | 56 | 45 | 11 | 17 | 0.567 | 56 | 88 | 144 | 1 | 1 | 14 | 23 | 18 | 1 | 497 | 166 | 156 | 175 | 5 | 518 | 169 | 94 | 328 | 40 | 10 | 25.00% | 47 | 10 | 78.72% | 2 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 329 | 198 | 327 | 127 | 252 | 128 | 56.8% | 11.3% | 91.3% | 102.6 | LUCKY | |
_Vs Conference | 28 | 11 | 10 | 0 | 1 | 1 | 2 | 3 | 94 | 88 | 6 | 32 | 0.571 | 94 | 154 | 248 | 1 | 1 | 24 | 35 | 32 | 4 | 917 | 295 | 315 | 306 | 17 | 947 | 317 | 218 | 592 | 79 | 16 | 20.25% | 89 | 16 | 82.02% | 2 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 612 | 362 | 608 | 246 | 485 | 244 | 52.0% | 10.3% | 90.7% | 101.0 | FUN | |
_Since Last GM Reset | 49 | 18 | 22 | 0 | 2 | 1 | 2 | 4 | 148 | 149 | -1 | 49 | 0.500 | 148 | 252 | 400 | 2 | 2 | 40 | 50 | 54 | 5 | 1586 | 540 | 526 | 517 | 22 | 1584 | 519 | 366 | 1004 | 146 | 25 | 17.12% | 153 | 34 | 77.78% | 3 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 1078 | 636 | 1036 | 437 | 858 | 430 | 51.7% | 9.3% | 90.6% | 99.9 | FUN | |
Total | 49 | 18 | 22 | 0 | 2 | 1 | 2 | 4 | 148 | 149 | -1 | 49 | 0.500 | 148 | 252 | 400 | 2 | 2 | 40 | 50 | 54 | 5 | 1586 | 540 | 526 | 517 | 22 | 1584 | 519 | 366 | 1004 | 146 | 25 | 17.12% | 153 | 34 | 77.78% | 3 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 1078 | 636 | 1036 | 437 | 858 | 430 | 51.7% | 9.3% | 90.6% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1148 |
Neutral Zone Start | 694 |
Defensive Zone Start | 1152 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1586 |
Faceoffs Lost | 1408 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 21.8 | 20.31 |
3rd Period | 32.3 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 118 |
---|---|
PP Goal | 25 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 10 | 12 |
Lost | 11 | 11 |
Overtime Lost | 3 | 2 |
PP Attempt | 146 |
---|---|
PP Goal | 25 |
PK Attempt | 153 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 32.4 |
Shots Against | 32.3 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 20.5 |
Shots Blocked | 10.6 |
Pim | 7.5 |
Projected Total Cap Hit | 87,800,000$ |
Projected Cap Space | 200,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 49,151,008$ |
Players In Salary Cap | 25 |
Contracts | 63/50 |
LTIR Players | 0 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad | D | 28 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Cole Smith | LW/RW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Connor Bedard | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
David Savard | D | 33 | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA | |||
Dylan Guenther | LW/RW | 21 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | ||||
Elias Lindholm | C/RW | 29 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Erik Gudbranson | D | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Evan Bouchard | D | 24 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | RFA | ||||
Frederick Gaudreau | C/LW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
J.T. Miller | C/LW/RW | 31 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||||
Jackson LaCombe | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jake Walman | D | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
James Reimer | G | 36 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jason Dickinson | C/LW | 28 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Jonathan Marchessault | LW/RW | 33 | 4,350,000$ | 4,350,000$ | UFA | ||||||
Joseph Woll | G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Matthew Boldy | LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mattias Ekholm | D | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Nazem Kadri | C | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Nick Perbix | D | 26 | 975,000$ | 975,000$ | RFA | ||||||
Philipp Kurashev | C/LW/RW | 24 | 2,175,000$ | 2,175,000$ | 2,175,000$ | 2,175,000$ | RFA | ||||
Ryan Donato | C/LW/RW | 28 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Seth Jarvis | RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
Thatcher Demko | G | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Tomas Hertl | C | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi | C/LW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||||
Alex Beaucage | RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
Alex Stalock | G | 36 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Alexander Pashin | C/LW/RW | 22 | 950,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Artemi Kniazev | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
Blake McLaughlin | LW | 24 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
Blake Murray | C | 22 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | RFA | ||||
Braden Holtby | G | 34 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Brian Elliott | G | 39 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Carter Savoie | LW | 22 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
Clark Bishop | C | 28 | 1,395,050$ | 1,395,050$ | UFA | ||||||
Gabriel Fortier | LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Ian Mitchell | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||||
Ivan Lodnia | RW | 24 | 975,000$ | 975,000$ | RFA | ||||||
Jack Ahcan | D | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jack Studnicka | C/RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Jacob Larsson | D | 27 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||
Jesper Wallstedt | G | 21 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | ||||
Joe Snively | LW | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Jonathan Bernier | G | 35 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Jonathan Gruden | LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Kris Russell | D | 37 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Matthew Phillips | C/RW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Matvey Petrov | LW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Max Sasson | C | 23 | 870,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mikko Kokkonen | D | 23 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | RFA | |||
Mitchell Hoelscher | C | 24 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
Nathan Legare | RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Pavel Novak | RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Riley Nash | C/RW | 35 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Ryan Dzingel | C/LW/RW | 32 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Ryan Francis | C/LW/RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ryan McAllister | C | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ryder Rolston | C/LW/RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Spencer Stastney | D | 24 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
William Lagesson | D | 28 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
Wyatt Kalynuk | D | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Xavier Bouchard | D | 24 | 950,000$ | 975,000$ | 975,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ducks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 4 | 0 | 1 | 0 | 64 | 29 | 16 | 19 | 0 | 60 | 27 | 15 | 36 | 6 | 1 | 16.67% | 5 | 3 | 40.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 45 | 28 | 39 | 17 | 34 | 16 | 30.8% | 7.8% | 80.0% | 87.8 | Unlucky |
2 | Jets | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 0 | 1 | 60 | 19 | 26 | 14 | 1 | 69 | 24 | 18 | 31 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 40 | 23 | 47 | 18 | 34 | 17 | 50.0% | 6.7% | 91.3% | 98.0 | DULL |
3 | Bruins | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 3 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 95 | 32 | 31 | 32 | 0 | 100 | 41 | 20 | 60 | 9 | 2 | 22.22% | 10 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 63 | 36 | 67 | 26 | 50 | 25 | 25.0% | 5.3% | 91.0% | 96.3 | Unlucky |
4 | Sabres | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 3 | 13 | 9 | 0 | 42 | 5 | 6 | 11 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 20 | 11 | 21 | 9 | 17 | 8 | 25.0% | 4.0% | 92.9% | 96.9 | DULL |
5 | Flames | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 18 | 29 | 0 | 1 | 4 | 3 | 4 | 0 | 76 | 37 | 22 | 17 | 0 | 42 | 11 | 13 | 50 | 9 | 4 | 44.44% | 4 | 1 | 75.00% | 1 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 51 | 32 | 32 | 16 | 36 | 17 | 87.5% | 14.5% | 95.2% | 109.7 | LUCKY |
6 | Hurricanes | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 18 | 13 | 5 | 7 | 0.875 | 18 | 31 | 49 | 0 | 0 | 3 | 9 | 6 | 0 | 141 | 47 | 45 | 49 | 2 | 144 | 47 | 22 | 83 | 10 | 3 | 30.00% | 11 | 3 | 72.73% | 1 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 91 | 56 | 87 | 33 | 66 | 34 | 60.0% | 12.8% | 91.0% | 103.7 | FUN |
7 | Blackhawks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 38 | 17 | 11 | 10 | 0 | 31 | 14 | 4 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 22 | 14 | 22 | 7 | 15 | 8 | 75.0% | 7.9% | 93.5% | 101.4 | DULL |
8 | Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 6 | 10 | 11 | 0 | 30 | 2 | 4 | 25 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 19 | 10 | 22 | 9 | 17 | 8 | 0.0% | 0.0% | 96.7% | 96.7 | DULL |
9 | Red Wings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 27 | 9 | 9 | 9 | 0 | 29 | 14 | 4 | 21 | 8 | 1 | 12.50% | 2 | 1 | 50.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 21 | 11 | 21 | 9 | 17 | 9 | 60.0% | 14.8% | 89.7% | 104.5 | FUN |
10 | Oilers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 4 | 0 | 68 | 18 | 27 | 22 | 4 | 61 | 18 | 8 | 42 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 45 | 25 | 39 | 19 | 39 | 20 | 57.1% | 11.8% | 88.5% | 100.3 | FUN |
11 | Panthers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 14 | 7 | 8 | 0 | 38 | 12 | 6 | 23 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 19 | 12 | 24 | 7 | 16 | 7 | 33.3% | 6.9% | 86.8% | 93.7 | Unlucky |
12 | Kings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 40 | 15 | 12 | 13 | 0 | 25 | 12 | 11 | 14 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 24 | 15 | 18 | 8 | 17 | 8 | 80.0% | 10.0% | 96.0% | 106.0 | LUCKY |
13 | Wild | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 59 | 15 | 16 | 28 | 0 | 63 | 23 | 23 | 42 | 4 | 1 | 25.00% | 9 | 3 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 42 | 23 | 41 | 19 | 35 | 17 | 50.0% | 5.1% | 92.1% | 97.1 | DULL |
14 | Canadiens | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 4 | 2 | 3 | 0 | 107 | 38 | 33 | 36 | 0 | 77 | 38 | 34 | 69 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 66 | 40 | 58 | 26 | 54 | 27 | 64.3% | 8.4% | 92.2% | 100.6 | DULL |
15 | Predators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 8 | 4 | 11 | 0 | 32 | 9 | 4 | 15 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 18 | 8 | 21 | 10 | 19 | 9 | 20.0% | 4.3% | 87.5% | 91.8 | Unlucky |
16 | Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 31 | 11 | 10 | 10 | 0 | 39 | 13 | 6 | 15 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 22 | 13 | 21 | 7 | 16 | 7 | 37.5% | 12.9% | 84.6% | 97.5 | FUN |
17 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 1 | 11 | 4 | 1.000 | 12 | 21 | 33 | 0 | 1 | 2 | 4 | 6 | 0 | 74 | 17 | 24 | 33 | 0 | 46 | 18 | 14 | 57 | 5 | 3 | 60.00% | 7 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 48 | 29 | 36 | 16 | 35 | 18 | 90.0% | 16.2% | 97.8% | 114.0 | LUCKY |
18 | Rangers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 12 | 9 | 10 | 0 | 39 | 17 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 19 | 11 | 24 | 8 | 15 | 7 | 33.3% | 3.2% | 94.9% | 98.1 | DULL |
19 | Flyers | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 13 | 23 | 0 | 0 | 4 | 4 | 1 | 1 | 103 | 32 | 30 | 41 | 3 | 95 | 25 | 26 | 69 | 10 | 1 | 10.00% | 13 | 3 | 76.92% | 1 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 66 | 37 | 61 | 28 | 56 | 28 | 60.0% | 9.7% | 90.5% | 100.2 | FUN |
20 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 9 | 15 | 1 | 0 | 0 | 4 | 2 | 0 | 63 | 23 | 23 | 17 | 0 | 77 | 24 | 6 | 47 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 41 | 25 | 47 | 16 | 31 | 15 | 41.7% | 9.5% | 88.3% | 97.8 | FUN |
21 | Sharks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 1 | 0 | 0 | 1 | 4 | 0 | 56 | 21 | 14 | 21 | 0 | 55 | 14 | 6 | 43 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 46 | 28 | 37 | 17 | 35 | 17 | 38.5% | 8.9% | 83.6% | 92.6 | Unlucky |
22 | Blues | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 69 | 27 | 25 | 17 | 0 | 72 | 23 | 18 | 30 | 8 | 1 | 12.50% | 9 | 2 | 77.78% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 44 | 26 | 42 | 18 | 33 | 16 | 50.0% | 5.8% | 93.1% | 98.9 | DULL |
23 | Lightning | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 10 | 10 | 0 | 3 | 0.750 | 10 | 16 | 26 | 0 | 0 | 2 | 3 | 4 | 2 | 65 | 14 | 33 | 18 | 8 | 73 | 23 | 18 | 39 | 4 | 2 | 50.00% | 9 | 3 | 66.67% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 42 | 24 | 46 | 19 | 40 | 19 | 53.3% | 15.4% | 86.3% | 101.7 | FUN |
24 | Maple Leafs | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 2 | 1 | 72 | 19 | 33 | 19 | 4 | 70 | 15 | 36 | 41 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 46 | 27 | 41 | 19 | 36 | 18 | 46.2% | 9.7% | 90.0% | 99.7 | FUN |
25 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 12 | 6 | 10 | 0 | 29 | 12 | 8 | 24 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 21 | 11 | 20 | 9 | 18 | 9 | 33.3% | 3.6% | 89.7% | 93.2 | Unlucky |
26 | Capitals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 5 | 10 | 0 | 0 | 2 | 0 | 3 | 0 | 54 | 24 | 15 | 15 | 0 | 78 | 25 | 14 | 36 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 40 | 24 | 48 | 16 | 30 | 15 | 50.0% | 9.3% | 93.6% | 102.8 | LUCKY |
27 | Kraken | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 21 | 22 | 18 | 0 | 68 | 13 | 16 | 43 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 43 | 25 | 42 | 18 | 34 | 17 | 60.0% | 8.2% | 94.1% | 102.3 | DULL |
_Vs Division | 15 | 7 | 6 | 0 | 0 | 0 | 1 | 1 | 56 | 45 | 11 | 17 | 0.567 | 56 | 88 | 144 | 1 | 1 | 14 | 23 | 18 | 1 | 497 | 166 | 156 | 175 | 5 | 518 | 169 | 94 | 328 | 40 | 10 | 25.00% | 47 | 10 | 78.72% | 2 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 329 | 198 | 327 | 127 | 252 | 128 | 56.8% | 11.3% | 91.3% | 102.6 | LUCKY | |
_Vs Conference | 28 | 11 | 10 | 0 | 1 | 1 | 2 | 3 | 94 | 88 | 6 | 32 | 0.571 | 94 | 154 | 248 | 1 | 1 | 24 | 35 | 32 | 4 | 917 | 295 | 315 | 306 | 17 | 947 | 317 | 218 | 592 | 79 | 16 | 20.25% | 89 | 16 | 82.02% | 2 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 612 | 362 | 608 | 246 | 485 | 244 | 52.0% | 10.3% | 90.7% | 101.0 | FUN | |
_Since Last GM Reset | 49 | 18 | 22 | 0 | 2 | 1 | 2 | 4 | 148 | 149 | -1 | 49 | 0.500 | 148 | 252 | 400 | 2 | 2 | 40 | 50 | 54 | 5 | 1586 | 540 | 526 | 517 | 22 | 1584 | 519 | 366 | 1004 | 146 | 25 | 17.12% | 153 | 34 | 77.78% | 3 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 1078 | 636 | 1036 | 437 | 858 | 430 | 51.7% | 9.3% | 90.6% | 99.9 | FUN | |
Total | 49 | 18 | 22 | 0 | 2 | 1 | 2 | 4 | 148 | 149 | -1 | 49 | 0.500 | 148 | 252 | 400 | 2 | 2 | 40 | 50 | 54 | 5 | 1586 | 540 | 526 | 517 | 22 | 1584 | 519 | 366 | 1004 | 146 | 25 | 17.12% | 153 | 34 | 77.78% | 3 | 596 | 1148 | 51.92% | 607 | 1152 | 52.69% | 383 | 694 | 55.19% | 1078 | 636 | 1036 | 437 | 858 | 430 | 51.7% | 9.3% | 90.6% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1148 |
Neutral Zone Start | 694 |
Defensive Zone Start | 1152 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1586 |
Faceoffs Lost | 1408 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 21.8 | 20.31 |
3rd Period | 32.3 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 118 |
---|---|
PP Goal | 25 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 10 | 12 |
Lost | 11 | 11 |
Overtime Lost | 3 | 2 |
PP Attempt | 146 |
---|---|
PP Goal | 25 |
PK Attempt | 153 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 32.4 |
Shots Against | 32.3 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 20.5 |
Shots Blocked | 10.6 |
Pim | 7.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Oct 18 | CLB | @ | MIN | CLB2,MIN3 | RECAP | |||||||||
Sun, Oct 20 | CLB | @ | COL | CLB0,COL1 | RECAP | |||||||||
Wed, Oct 23 | FLO | @ | CLB | FLO5,CLB2 | RECAP | |||||||||
Fri, Oct 25 | BUF | @ | CLB | BUF3,CLB1 | RECAP | |||||||||
Sun, Oct 27 | MIN | @ | CLB | MIN2,CLB1 | RECAP | |||||||||
Wed, Oct 30 | TOR | @ | CLB | TOR3,CLB4 (OT) | RECAP | |||||||||
Sun, Nov 3 | CLB | @ | NAS | CLB1,NAS4 | RECAP | |||||||||
Tue, Nov 5 | EDM | @ | CLB | EDM5,CLB4 (SO) | RECAP | |||||||||
Thu, Nov 7 | NYI | @ | CLB | NYI1,CLB6 | RECAP | |||||||||
Sat, Nov 9 | WPG | @ | CLB | WPG4,CLB1 | RECAP | |||||||||
Sun, Nov 10 | CLB | @ | WAS | CLB4,WAS3 | RECAP | |||||||||
Wed, Nov 13 | CLB | @ | SJ | CLB1,SJ 3 | RECAP | |||||||||
Sun, Nov 17 | CLB | @ | LOS | CLB4,LOS1 | RECAP | |||||||||
Mon, Nov 18 | CLB | @ | ANA | CLB3,ANA5 | RECAP | |||||||||
Wed, Nov 20 | CLB | @ | SEA | CLB3,SEA1 | RECAP | |||||||||
Sat, Nov 23 | PIT | @ | CLB | PIT4,CLB3 | RECAP | |||||||||
Sun, Nov 24 | CLB | @ | MTL | CLB1,MTL3 | RECAP | |||||||||
Tue, Nov 26 | CLB | @ | BOS | CLB1,BOS2 (OT) | RECAP | |||||||||
Fri, Nov 29 | TAM | @ | CLB | TAM5,CLB4 (SO) | RECAP | |||||||||
Sun, Dec 1 | CAR | @ | CLB | CAR4,CLB3 (SO) | RECAP | |||||||||
Thu, Dec 5 | MTL | @ | CLB | MTL1,CLB3 | RECAP | |||||||||
Sat, Dec 7 | CAL | @ | CLB | CAL0,CLB6 | RECAP | |||||||||
Mon, Dec 9 | CLB | @ | CHI | CLB3,CHI2 | RECAP | |||||||||
Wed, Dec 11 | CLB | @ | CAL | CLB5,CAL2 | RECAP | |||||||||
Fri, Dec 13 | CLB | @ | EDM | CLB4,EDM2 | RECAP | |||||||||
Sat, Dec 14 | CLB | @ | VAN | CLB1,VAN3 | RECAP | |||||||||
Mon, Dec 16 | CLB | @ | WPG | CLB3,WPG2 (OT) | RECAP | |||||||||
Wed, Dec 18 | PHI | @ | CLB | PHI1,CLB2 (SO) | RECAP | |||||||||
Fri, Dec 20 | WAS | @ | CLB | WAS2,CLB1 | RECAP | |||||||||
Sun, Dec 22 | ANA | @ | CLB | ANA7,CLB2 | RECAP | |||||||||
Mon, Dec 23 | CLB | @ | CAR | CLB5,CAR3 | RECAP | |||||||||
Wed, Dec 25 | CLB | @ | TAM | CLB6,TAM5 (SO) | RECAP | |||||||||
Fri, Dec 27 | NJD | @ | CLB | NJD6,CLB4 | RECAP | |||||||||
Sun, Dec 29 | CLB | @ | PHI | CLB2,PHI5 | RECAP | |||||||||
Tue, Dec 31 | MTL | @ | CLB | MTL2,CLB5 | RECAP | |||||||||
Sat, Jan 4 | BOS | @ | CLB | BOS2,CLB3 | RECAP | |||||||||
Sun, Jan 5 | CLB | @ | BOS | CLB1,BOS5 | RECAP | |||||||||
Wed, Jan 8 | CAR | @ | CLB | CAR3,CLB4 | RECAP | |||||||||
Fri, Jan 10 | DET | @ | CLB | DET3,CLB4 | RECAP | |||||||||
Sun, Jan 12 | STL | @ | CLB | STL3,CLB1 | RECAP | |||||||||
Wed, Jan 15 | CLB | @ | PIT | CLB3,PIT5 | RECAP | |||||||||
Fri, Jan 17 | SEA | @ | CLB | SEA3,CLB2 | RECAP | |||||||||
Sun, Jan 19 | CLB | @ | STL | CLB3,STL2 | RECAP | |||||||||
Wed, Jan 22 | PHI | @ | CLB | PHI3,CLB6 | RECAP | |||||||||
Fri, Jan 24 | SJ | @ | CLB | SJ 6,CLB4 | RECAP | |||||||||
Sun, Jan 26 | CLB | @ | NYR | CLB1,NYR2 | RECAP | |||||||||
Tue, Jan 28 | CLB | @ | NYI | CLB6,NYI0 | RECAP | |||||||||
Thu, Jan 30 | CLB | @ | TOR | CLB3,TOR4 (SO) | RECAP | |||||||||
Fri, Jan 31 | CLB | @ | CAR | CLB6,CAR3 | RECAP | |||||||||
Sun, Feb 2 | LOS | @ | CLB | |||||||||||
Fri, Feb 7 | CLB | @ | GKV | |||||||||||
Sat, Feb 8 | CLB | @ | PHO | |||||||||||
Mon, Feb 10 | CLB | @ | DAL | |||||||||||
Wed, Feb 12 | CLB | @ | BUF | |||||||||||
Fri, Feb 14 | PHO | @ | CLB | |||||||||||
Sun, Feb 16 | NYR | @ | CLB | |||||||||||
Sun, Mar 2 | CHI | @ | CLB | |||||||||||
Wed, Mar 5 | DAL | @ | CLB | |||||||||||
Fri, Mar 7 | CLB | @ | DET | |||||||||||
Sun, Mar 9 | DET | @ | CLB | |||||||||||
Wed, Mar 12 | CLB | @ | TAM | |||||||||||
Fri, Mar 14 | CLB | @ | FLO | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Mar 17 | CLB | @ | NYR | |||||||||||
Wed, Mar 19 | CLB | @ | NJD | |||||||||||
Fri, Mar 21 | GKV | @ | CLB | |||||||||||
Sun, Mar 23 | NYR | @ | CLB | |||||||||||
Tue, Mar 25 | NJD | @ | CLB | |||||||||||
Fri, Mar 28 | FLO | @ | CLB | |||||||||||
Sat, Mar 29 | CLB | @ | PIT | |||||||||||
Tue, Apr 1 | CLB | @ | NYI | |||||||||||
Sat, Apr 5 | VAN | @ | CLB | |||||||||||
Sun, Apr 6 | CLB | @ | OTT | |||||||||||
Wed, Apr 9 | NAS | @ | CLB | |||||||||||
Fri, Apr 11 | COL | @ | CLB | |||||||||||
Sun, Apr 13 | CLB | @ | TOR | |||||||||||
Mon, Apr 14 | CLB | @ | OTT | |||||||||||
Wed, Apr 16 | OTT | @ | CLB | |||||||||||
Fri, Apr 18 | BUF | @ | CLB | |||||||||||
Sun, Apr 20 | WAS | @ | CLB | |||||||||||
Mon, Apr 21 | CLB | @ | WAS | |||||||||||
Wed, Apr 23 | CLB | @ | PHI | |||||||||||
Fri, Apr 25 | NYI | @ | CLB |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,800,000$ | 0$ | 87,800,000$ | 200,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Nationwide Arena | ||
City | Columbus | ||
Capacity | 21136 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6300 | 5400 | 3736 | 4600 | 1100 |
Ticket Price | 90$ | 55$ | 30$ | 18$ | 185$ |
Attendance | 141336 | 118557 | 80853 | 97292 | 24138 |
Attendance PCT | 93.48% | 91.48% | 90.17% | 88.13% | 91.43% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 19257 - 91.11% | 1,510,343$ | 36,248,227$ | 21136 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,800,000$ | 87,800,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
49,436,720$ | 87,800,000$ | 49,151,008$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
25,675,827$ | 84 | 450,510$ | 37,842,840$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
39,746,583$ | 87,800,000$ | 83,733,689$ | 69,662,933$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Ingram | Blue Jackets | 2022 | 78 | ||
Aleksi Malinen | Blue Jackets | 2021 | 187 | ||
Aleksi Saarela | Blue Jackets | Link | |||
Alex Ciernik | Blue Jackets | 2023 | 101 | ||
Alexander Khovanov | Blue Jackets | 2018 | 78 | ||
Alexander Melnichuk | Blue Jackets | 2020 | 73 | ||
Alexander Rykov | Blue Jackets | 2023 | 76 | ||
Alexei Melnichuk | Blue Jackets | Link | |||
Amir Miftakhov | Blue Jackets | 2020 | 172 | ||
Andrew Hammond | Blue Jackets | Link | |||
Andy Greene | Blue Jackets | Link | |||
Anton Johannesson | Blue Jackets | 2020 | 121 | ||
Aram Minnetian | Blue Jackets | 2023 | 110 | ||
Arttu Ruotsalainen | Blue Jackets | 2020 | 143 | Link | |
Artyom Zagidulin | Blue Jackets | Link | |||
Brent Johnson | Blue Jackets | 2021 | 74 | ||
Bryce Mcconnell-Barker | Blue Jackets | 2022 | 84 | ||
Connor Levis | Blue Jackets | 2023 | 178 | ||
Connor Lockhart | Blue Jackets | 2021 | 198 | ||
Denis Smirnov | Blue Jackets | 2017 | 185 | ||
Dmitry Zavgorodniy | Blue Jackets | 2018 | 213 | Link | |
Emil Jarventie | Blue Jackets | 2023 | 173 | ||
Eric Florchuk | Blue Jackets | 2018 | 204 | ||
Fraser Minten | Blue Jackets | 2022 | 49 | ||
Jack Achan | Blue Jackets | 2020 | 118 | ||
Jackson Kunz | Blue Jackets | 2020 | 158 | ||
Jake Karabela | Blue Jackets | 2022 | 130 | ||
Jake Pivonka | Blue Jackets | 2018 | 98 | ||
Jayden Perron | Blue Jackets | 2023 | 74 | ||
Jordan Sambrook | Blue Jackets | 2016 | 176 | ||
Jorian Donovan | Blue Jackets | 2022 | 125 | ||
Josh Filmon | Blue Jackets | 2022 | 148 | ||
Kevin He | Blue Jackets | 2024 | 112 | ||
Kirill Slepets | Blue Jackets | 2019 | 139 | ||
Landon Sim | Blue Jackets | 2022 | 215 | ||
Leo Sahlin Wallenius | Blue Jackets | 2024 | 56 | ||
Luca Cagnoni | Blue Jackets | 2023 | 100 | ||
Luca Delbelbelluz | Blue Jackets | 2022 | 37 | ||
Matt Bodie | Blue Jackets | 2014 | 123 | ||
Matt Lahey | Blue Jackets | 2024 | 184 | ||
Michael Callow | Blue Jackets | 2022 | 178 | ||
Mike Koster | Blue Jackets | 2019 | 192 | ||
Mikhail Grigorenko | Blue Jackets | Link | |||
Milos Roman | Blue Jackets | 2018 | 120 | ||
Miroslav Holinka | Blue Jackets | 2024 | 131 | ||
Mitchell Mattson | Blue Jackets | 2016 | 156 | ||
Olivier Suni | Blue Jackets | 2020 | 182 | ||
Oscar Plandowski | Blue Jackets | 2021 | 151 | ||
Owen Lindmark | Blue Jackets | 2019 | 183 | ||
Rieger Lorenz | Blue Jackets | 2022 | 65 | ||
Rodion Amirov | Blue Jackets | 2020 | 25 | ||
Ryan Ufko | Blue Jackets | 2021 | 113 | ||
Simon Forsmark | Blue Jackets | 2022 | 87 | ||
Simon Robertsson | Blue Jackets | 2021 | 50 | ||
Slava Demin | Blue Jackets | 2018 | 118 | ||
Steven Ruggiero | Blue Jackets | 2015 | 183 | ||
Teemu Kivihalme | Blue Jackets | 2019 | 176 | Link | |
Timofei Obvintsev | Blue Jackets | 2024 | 143 | ||
Tuukka Rask | Blue Jackets | Link | |||
Veeti Miettinen | Blue Jackets | 2020 | 144 | ||
Yegor Rimashevskiy | Blue Jackets | 2023 | 215 | ||
Zachary Schultz | Blue Jackets | 2023 | 202 | ||
Zion Nybeck | Blue Jackets | 2020 | 104 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Ingram | Blue Jackets | 2022 | 78 | ||
Aleksi Malinen | Blue Jackets | 2021 | 187 | ||
Aleksi Saarela | Blue Jackets | Link | |||
Alex Ciernik | Blue Jackets | 2023 | 101 | ||
Alexander Khovanov | Blue Jackets | 2018 | 78 | ||
Alexander Melnichuk | Blue Jackets | 2020 | 73 | ||
Alexander Rykov | Blue Jackets | 2023 | 76 | ||
Alexei Melnichuk | Blue Jackets | Link | |||
Amir Miftakhov | Blue Jackets | 2020 | 172 | ||
Andrew Hammond | Blue Jackets | Link | |||
Andy Greene | Blue Jackets | Link | |||
Anton Johannesson | Blue Jackets | 2020 | 121 | ||
Aram Minnetian | Blue Jackets | 2023 | 110 | ||
Arttu Ruotsalainen | Blue Jackets | 2020 | 143 | Link | |
Artyom Zagidulin | Blue Jackets | Link | |||
Brent Johnson | Blue Jackets | 2021 | 74 | ||
Bryce Mcconnell-Barker | Blue Jackets | 2022 | 84 | ||
Connor Levis | Blue Jackets | 2023 | 178 | ||
Connor Lockhart | Blue Jackets | 2021 | 198 | ||
Denis Smirnov | Blue Jackets | 2017 | 185 | ||
Dmitry Zavgorodniy | Blue Jackets | 2018 | 213 | Link | |
Emil Jarventie | Blue Jackets | 2023 | 173 | ||
Eric Florchuk | Blue Jackets | 2018 | 204 | ||
Fraser Minten | Blue Jackets | 2022 | 49 | ||
Jack Achan | Blue Jackets | 2020 | 118 | ||
Jackson Kunz | Blue Jackets | 2020 | 158 | ||
Jake Karabela | Blue Jackets | 2022 | 130 | ||
Jake Pivonka | Blue Jackets | 2018 | 98 | ||
Jayden Perron | Blue Jackets | 2023 | 74 | ||
Jordan Sambrook | Blue Jackets | 2016 | 176 | ||
Jorian Donovan | Blue Jackets | 2022 | 125 | ||
Josh Filmon | Blue Jackets | 2022 | 148 | ||
Kevin He | Blue Jackets | 2024 | 112 | ||
Kirill Slepets | Blue Jackets | 2019 | 139 | ||
Landon Sim | Blue Jackets | 2022 | 215 | ||
Leo Sahlin Wallenius | Blue Jackets | 2024 | 56 | ||
Luca Cagnoni | Blue Jackets | 2023 | 100 | ||
Luca Delbelbelluz | Blue Jackets | 2022 | 37 | ||
Matt Bodie | Blue Jackets | 2014 | 123 | ||
Matt Lahey | Blue Jackets | 2024 | 184 | ||
Michael Callow | Blue Jackets | 2022 | 178 | ||
Mike Koster | Blue Jackets | 2019 | 192 | ||
Mikhail Grigorenko | Blue Jackets | Link | |||
Milos Roman | Blue Jackets | 2018 | 120 | ||
Miroslav Holinka | Blue Jackets | 2024 | 131 | ||
Mitchell Mattson | Blue Jackets | 2016 | 156 | ||
Olivier Suni | Blue Jackets | 2020 | 182 | ||
Oscar Plandowski | Blue Jackets | 2021 | 151 | ||
Owen Lindmark | Blue Jackets | 2019 | 183 | ||
Rieger Lorenz | Blue Jackets | 2022 | 65 | ||
Rodion Amirov | Blue Jackets | 2020 | 25 | ||
Ryan Ufko | Blue Jackets | 2021 | 113 | ||
Simon Forsmark | Blue Jackets | 2022 | 87 | ||
Simon Robertsson | Blue Jackets | 2021 | 50 | ||
Slava Demin | Blue Jackets | 2018 | 118 | ||
Steven Ruggiero | Blue Jackets | 2015 | 183 | ||
Teemu Kivihalme | Blue Jackets | 2019 | 176 | Link | |
Timofei Obvintsev | Blue Jackets | 2024 | 143 | ||
Tuukka Rask | Blue Jackets | Link | |||
Veeti Miettinen | Blue Jackets | 2020 | 144 | ||
Yegor Rimashevskiy | Blue Jackets | 2023 | 215 | ||
Zachary Schultz | Blue Jackets | 2023 | 202 | ||
Zion Nybeck | Blue Jackets | 2020 | 104 |
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