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![]() | Columbus Blue Jackets 14-9-0, 28pts · 6th 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 | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/LW/RW | 100.00 | 81 | 67 | 69 | 87 | 83 | 90 | 92 | 92 | 85 | 91 | 89 | 84 | 90 | 87 | 83 | 1 | 85 | 31 | 7,500,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 75 | 46 | 77 | 88 | 72 | 87 | 92 | 91 | 52 | 79 | 89 | 71 | 89 | 87 | 77 | 1 | 81 | 33 | 4,350,000$/1yrs | |||||
![]() | C/RW | 100.00 | 74 | 46 | 87 | 82 | 80 | 90 | 91 | 87 | 85 | 81 | 78 | 80 | 82 | 85 | 77 | 1 | 80 | 29 | 8,000,000$/4yrs | |||||
![]() | RW | 100.00 | 75 | 46 | 92 | 92 | 75 | 88 | 79 | 87 | 61 | 80 | 82 | 79 | 87 | 59 | 50 | 1 | 79 | 22 | 975,000$/1yrs | |||||
![]() | C | 100.00 | 71 | 47 | 78 | 76 | 85 | 90 | 88 | 85 | 86 | 79 | 78 | 72 | 80 | 85 | 78 | 1 | 78 | 30 | 6,250,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 70 | 46 | 73 | 86 | 85 | 87 | 78 | 90 | 61 | 82 | 84 | 72 | 87 | 59 | 50 | 1 | 78 | 23 | 975,000$/3yrs | |||||
![]() | C | 100.00 | 71 | 46 | 89 | 82 | 78 | 88 | 90 | 78 | 71 | 77 | 71 | 82 | 77 | 84 | 74 | 1 | 77 | 29 | 4,500,000$/1yrs | |||||
![]() | C/LW | 100.00 | 80 | 53 | 75 | 81 | 81 | 86 | 88 | 81 | 73 | 74 | 75 | 80 | 79 | 82 | 72 | 1 | 77 | 28 | 2,250,000$/2yrs | |||||
![]() | 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$/3yrs | |||||
![]() | C/LW | 100.00 | 68 | 44 | 92 | 81 | 73 | 85 | 86 | 78 | 74 | 73 | 70 | 76 | 76 | 79 | 69 | 1 | 75 | 31 | 3,000,000$/2yrs | |||||
![]() | 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$/3yrs | |||||
![]() | LW/RW | 100.00 | 83 | 75 | 66 | 74 | 79 | 82 | 80 | 74 | 46 | 73 | 67 | 74 | 72 | 62 | 54 | 1 | 71 | 28 | 1,500,000$/2yrs | |||||
![]() | D | 100.00 | 74 | 53 | 73 | 77 | 86 | 89 | 93 | 86 | 40 | 80 | 74 | 91 | 79 | 88 | 78 | 1 | 81 | 34 | 6,500,000$/3yrs | |||||
![]() | D | 100.00 | 73 | 44 | 78 | 88 | 82 | 88 | 85 | 91 | 40 | 87 | 80 | 81 | 87 | 73 | 63 | 1 | 80 | 24 | 4,750,000$/3yrs | |||||
![]() | D | 100.00 | 73 | 71 | 67 | 74 | 87 | 88 | 93 | 78 | 40 | 75 | 68 | 88 | 73 | 88 | 81 | 1 | 79 | 32 | 4,000,000$/2yrs | |||||
![]() | D | 100.00 | 68 | 47 | 78 | 74 | 88 | 88 | 91 | 77 | 40 | 76 | 68 | 88 | 73 | 88 | 78 | 1 | 78 | 33 | 4,700,000$/4yrs | |||||
![]() | D | 100.00 | 70 | 46 | 65 | 76 | 86 | 91 | 86 | 81 | 40 | 76 | 72 | 80 | 76 | 84 | 80 | 1 | 77 | 28 | 6,500,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 46 | 71 | 83 | 84 | 88 | 82 | 81 | 40 | 69 | 76 | 87 | 80 | 68 | 58 | 1 | 77 | 28 | 1,500,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 100.00 | 67 | 40 | 73 | 80 | 75 | 87 | 69 | 79 | 56 | 78 | 76 | 60 | 81 | 52 | 50 | 90 | 72 | 18 | 975,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 64 | 43 | 82 | 81 | 76 | 83 | 70 | 76 | 46 | 73 | 72 | 68 | 76 | 55 | 50 | 1 | 71 | 21 | 1,200,000$/3yrs | |||||
![]() | D | 100.00 | 72 | 43 | 86 | 74 | 81 | 83 | 75 | 74 | 40 | 74 | 64 | 78 | 71 | 56 | 50 | 1 | 73 | 26 | 975,000$/1yrs | |||||
![]() | D | 100.00 | 65 | 43 | 81 | 74 | 84 | 85 | 71 | 70 | 40 | 69 | 63 | 74 | 69 | 55 | 50 | 1 | 70 | 23 | 975,000$/2yrs | |||||
TEAM AVERAGE | 100.00 | 72 | 50 | 78 | 80 | 81 | 87 | 84 | 82 | 57 | 77 | 75 | 78 | 79 | 73 | 66 | 5 | 77 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 91 | 90 | 90 | 80 | 92 | 90 | 90 | 90 | 89 | 91 | 85 | 76 | 69 | 1 | 81 | 28 | 4,500,000$/2yrs | |
![]() | 0 | 100.00 | 74 | 87 | 87 | 80 | 84 | 82 | 78 | 81 | 82 | 82 | 81 | 89 | 82 | 1 | 75 | 36 | 4,000,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 83 | 89 | 89 | 80 | 88 | 86 | 84 | 86 | 86 | 87 | 83 | 83 | 76 | 1 | 78 |
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 | Seth Jarvis | ![]() | 0 | RW | 23 | 11 | 11 | 22 | 2 | 4 | 0 | 42 | 81 | 31 | 60 | 13.58% | 12 | 23.54 | 1 | 4 | 5 | 1 | 0 | 1 | 34 | 1 | 1 | 46.34% | 0 | 1 | 0.96 | 0 | 0 | 1.06 | ||
2 | J.T. Miller | ![]() | 0 | C/LW/RW | 23 | 9 | 11 | 20 | -1 | 18 | 0 | 52 | 78 | 21 | 39 | 11.54% | 14 | 21.59 | 3 | 4 | 7 | 0 | 0 | 0 | 74 | 3 | 0 | 53.21% | 0 | 0 | 0.87 | 0 | 0 | 0.82 | ||
3 | Matthew Boldy | ![]() | 0 | LW/RW | 23 | 10 | 8 | 18 | 0 | 18 | 0 | 33 | 63 | 22 | 43 | 15.87% | 3 | 17.76 | 3 | 2 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 55.56% | 0 | 0 | 0.78 | 0 | 0 | 0.70 | ||
4 | Elias Lindholm | ![]() | 0 | C/RW | 23 | 5 | 11 | 16 | -1 | 6 | 0 | 36 | 62 | 21 | 32 | 8.06% | 10 | 22.21 | 0 | 4 | 4 | 0 | 0 | 0 | 79 | 1 | 0 | 56.76% | 0 | 0 | 0.70 | 0 | 0 | 0.69 | ||
5 | Jonathan Marchessault | ![]() | 0 | LW/RW | 23 | 6 | 9 | 15 | -3 | 6 | 0 | 37 | 79 | 21 | 41 | 7.59% | 11 | 19.48 | 3 | 4 | 7 | 0 | 0 | 0 | 23 | 1 | 0 | 35.14% | 0 | 0 | 0.65 | 0 | 0 | 0.71 | ||
6 | Tomas Hertl | ![]() | 0 | C | 23 | 5 | 9 | 14 | 7 | 13 | 5 | 12 | 51 | 19 | 31 | 9.80% | 6 | 13.85 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 49.32% | 0 | 0 | 0.61 | 0 | 0 | 0.64 | ||
7 | Ryan Donato | ![]() | 0 | C/LW/RW | 23 | 8 | 6 | 14 | 7 | 6 | 0 | 26 | 39 | 8 | 30 | 20.51% | 6 | 13.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 50.00% | 0 | 0 | 0.61 | 0 | 0 | 0.68 | ||
8 | Alex Wennberg | ![]() | 0 | C | 23 | 3 | 10 | 13 | 2 | 0 | 0 | 28 | 36 | 12 | 24 | 8.33% | 10 | 19.47 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | 0 | 45.77% | 0 | 0 | 0.57 | 0 | 0 | 0.57 | ||
9 | Mattias Ekholm | ![]() | 0 | D | 23 | 2 | 11 | 13 | 5 | 20 | 0 | 35 | 30 | 13 | 11 | 6.67% | 24 | 27.60 | 1 | 3 | 4 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 1 | 0 | 0.57 | 0 | 1 | 0.47 | ||
10 | Jason Dickinson | ![]() | 0 | C/LW | 23 | 5 | 7 | 12 | 8 | 4 | 0 | 32 | 44 | 13 | 31 | 11.36% | 6 | 14.13 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 2 | 0 | 51.52% | 0 | 0 | 0.52 | 0 | 0 | 0.66 | ||
11 | David Savard | ![]() | 0 | D | 23 | 4 | 6 | 10 | 6 | 10 | 0 | 21 | 19 | 8 | 12 | 21.05% | 24 | 22.23 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 0 | 1 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.44 | ||
12 | Evan Bouchard | ![]() | 0 | D | 23 | 1 | 6 | 7 | -3 | 2 | 0 | 14 | 26 | 5 | 8 | 3.85% | 9 | 15.47 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.26 | ||
13 | Jake Walman | ![]() | 0 | D | 23 | 0 | 5 | 5 | 4 | 20 | 0 | 33 | 26 | 11 | 7 | 0.00% | 31 | 23.31 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0 | 0 | 100.00% | 0 | 0 | 0.22 | 0 | 0 | 0.21 | ||
14 | Frederick Gaudreau | ![]() | 0 | C/LW | 23 | 1 | 4 | 5 | 0 | 0 | 0 | 4 | 8 | 2 | 8 | 12.50% | 3 | 5.78 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 75.00% | 0 | 0 | 0.22 | 0 | 0 | 0.19 | ||
15 | Aaron Ekblad | ![]() | 0 | D | 23 | 1 | 3 | 4 | -3 | 22 | 0 | 18 | 7 | 1 | 7 | 14.29% | 16 | 14.42 | 1 | 0 | 1 | 0 | 1 | 1 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | -0.03 | ||
16 | Connor Bedard | ![]() | 0 | C | 15 | 2 | 2 | 4 | 0 | 2 | 0 | 6 | 6 | 1 | 5 | 33.33% | 1 | 6.18 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 25.00% | 0 | 0 | 0.27 | 0 | 0 | 0.20 | ||
17 | Erik Gudbranson | ![]() | 0 | D | 23 | 1 | 3 | 4 | 9 | 14 | 0 | 21 | 14 | 8 | 8 | 7.14% | 24 | 19.63 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.25 | ||
18 | Philipp Kurashev | ![]() | 0 | C/LW/RW | 8 | 1 | 2 | 3 | 1 | 0 | 0 | 2 | 6 | 2 | 5 | 16.67% | 1 | 5.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.48% | 0 | 0 | 0.38 | 0 | 0 | 0.37 | ||
19 | Cole Smith | ![]() | 0 | LW/RW | 23 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | ||
Team Total or Average | 414 | 75 | 124 | 199 | 39 | 165 | 5 | 453 | 675 | 219 | 402 | 11.11% | 212 | 16.66 | 13 | 22 | 35 | 647 | 1 | 1 | 2 | 578 | 14 | 4 | 49.69% | 1429 | 169 | 155 | 1 | 1 | 0.58 | 0 | 1 |
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 | ![]() | 22 | 13 | 7 | 1 | 0.922 | 2.62 | 1284 | 2 | 0 | 56 | 721 | 311 | 1 | 2 | 0.000 | 0 | 21 | 2 | 4 | 0 | 0 |
2 | James Reimer | ![]() | 3 | 1 | 1 | 0 | 0.867 | 3.93 | 122 | 0 | 0 | 8 | 60 | 28 | 0 | 0 | 0.000 | 0 | 2 | 21 | 0 | 0 | 0 |
Team Total or Average | 25 | 14 | 8 | 1 | 0.918 | 2.73 | 1407 | 2 | 0 | 64 | 781 | 339 | 1 | 2 | 0.000 | 0 | 23 | 23 | 4 | 0 | 0 |
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 | ![]() | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 14 | 7 | 8 | 0.667 | 21 | 38 | 59 | 0 | 0 | 7 | 7 | 7 | 0 | 171 | 54 | 60 | 57 | 0 | 196 | 57 | 38 | 134 | 21 | 5 | 23.81% | 19 | 3 | 84.21% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 123 | 68 | 134 | 53 | 101 | 51 | 59.3% | 12.3% | 92.9% | 105.1 | LUCKY |
2 | ![]() | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 8 | 0.667 | 19 | 30 | 49 | 0 | 0 | 5 | 4 | 9 | 1 | 182 | 47 | 59 | 67 | 9 | 197 | 47 | 42 | 121 | 19 | 2 | 10.53% | 22 | 3 | 86.36% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 130 | 74 | 144 | 58 | 106 | 52 | 53.1% | 10.4% | 90.9% | 101.3 | FUN |
3 | ![]() | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 21 | -4 | 4 | 0.333 | 17 | 25 | 42 | 2 | 0 | 9 | 3 | 5 | 0 | 159 | 60 | 50 | 49 | 0 | 228 | 50 | 48 | 86 | 19 | 4 | 21.05% | 24 | 2 | 91.67% | 1 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 116 | 63 | 140 | 56 | 103 | 51 | 40.6% | 10.7% | 90.8% | 101.5 | FUN |
4 | ![]() | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 8 | 0.800 | 18 | 31 | 49 | 0 | 0 | 4 | 7 | 6 | 1 | 163 | 58 | 54 | 49 | 2 | 162 | 58 | 39 | 112 | 17 | 2 | 11.76% | 18 | 4 | 77.78% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 109 | 61 | 107 | 46 | 89 | 45 | 64.0% | 11.0% | 92.0% | 103.0 | LUCKY |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 8 | 0.667 | 19 | 30 | 49 | 0 | 0 | 5 | 4 | 9 | 1 | 182 | 47 | 59 | 67 | 9 | 197 | 47 | 42 | 121 | 19 | 2 | 10.53% | 22 | 3 | 86.36% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 130 | 74 | 144 | 58 | 106 | 52 | 53.1% | 10.4% | 90.9% | 101.3 | FUN | |
_Vs Conference | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 58 | 45 | 13 | 24 | 0.706 | 58 | 99 | 157 | 0 | 0 | 16 | 18 | 22 | 2 | 516 | 159 | 173 | 173 | 11 | 555 | 162 | 119 | 367 | 57 | 9 | 15.79% | 59 | 10 | 83.05% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 363 | 204 | 386 | 159 | 297 | 149 | 58.3% | 11.2% | 91.9% | 103.1 | LUCKY | |
_Since Last GM Reset | 23 | 14 | 9 | 0 | 0 | 0 | 0 | 0 | 75 | 66 | 9 | 28 | 0.609 | 75 | 124 | 199 | 2 | 0 | 25 | 21 | 27 | 2 | 675 | 219 | 223 | 222 | 11 | 783 | 212 | 167 | 453 | 76 | 13 | 17.11% | 83 | 12 | 85.54% | 1 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 480 | 267 | 527 | 215 | 401 | 200 | 53.4% | 11.1% | 91.6% | 102.7 | LUCKY | |
Total | 23 | 14 | 9 | 0 | 0 | 0 | 0 | 0 | 75 | 66 | 9 | 28 | 0.609 | 75 | 124 | 199 | 2 | 0 | 25 | 21 | 27 | 2 | 675 | 219 | 223 | 222 | 11 | 783 | 212 | 167 | 453 | 76 | 13 | 17.11% | 83 | 12 | 85.54% | 1 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 480 | 267 | 527 | 215 | 401 | 200 | 53.4% | 11.1% | 91.6% | 102.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 514 |
Neutral Zone Start | 316 |
Defensive Zone Start | 599 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 710 |
Faceoffs Lost | 719 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 59 |
---|---|
PP Goal | 13 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 8 | 6 |
Lost | 3 | 6 |
Overtime Lost | 0 | 0 |
PP Attempt | 76 |
---|---|
PP Goal | 13 |
PK Attempt | 83 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 34.0 |
Goals For | 3.3 |
Goals Against | 2.9 |
Hits | 19.7 |
Shots Blocked | 9.2 |
Pim | 7.3 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
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 | |||||
Alex Wennberg ![]() | C | 29 | 4,500,000$ | 4,500,000$ | 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$ | ![]() | ||||
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$ | ![]() | |||||
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 | ||||||
Matthew Boldy ![]() | LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Mattias Ekholm ![]() | D | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Nick Perbix ![]() | D | 26 | 975,000$ | 975,000$ | ![]() | ||||||
Philipp Kurashev ![]() | C/LW/RW | 24 | 2,175,000$ | 2,175,000$ | 2,175,000$ | 2,175,000$ | ![]() | ||||
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$ | ![]() | |||||
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$ | ![]() | ||||
Artemi Kniazev ![]() | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
Blake McLaughlin ![]() | LW | 24 | 950,000$ | 975,000$ | 975,000$ | ![]() | |||||
Blake Murray ![]() | C | 22 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | ![]() | ||||
Braden Holtby ![]() | G | 34 | 3,000,000$ | 3,000,000$ | 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$ | ![]() | |||||
Ian Mitchell ![]() | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ![]() | |||||
Ivan Lodnia ![]() | RW | 24 | 975,000$ | 975,000$ | ![]() | ||||||
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$ | ![]() | |||||
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$ | ![]() | |||||
Joseph Woll ![]() | G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ![]() | |||||
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$ | ![]() | ||||
Mikko Kokkonen ![]() | D | 23 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | ![]() | |||
Mitchell Hoelscher ![]() | C | 24 | 950,000$ | 975,000$ | 975,000$ | ![]() | |||||
Nathan Legare ![]() | RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Pavel Francouz ![]() | G | 34 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Pavel Novak ![]() | RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
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$ | ![]() | ||||
Ryan McAllister ![]() | C | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Ryder Rolston ![]() | C/LW/RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Spencer Stastney ![]() | D | 24 | 950,000$ | 975,000$ | 975,000$ | ![]() | |||||
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$ | ![]() |
Forward Lines | |||||||
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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 | ![]() | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 14 | 7 | 8 | 0.667 | 21 | 38 | 59 | 0 | 0 | 7 | 7 | 7 | 0 | 171 | 54 | 60 | 57 | 0 | 196 | 57 | 38 | 134 | 21 | 5 | 23.81% | 19 | 3 | 84.21% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 123 | 68 | 134 | 53 | 101 | 51 | 59.3% | 12.3% | 92.9% | 105.1 | LUCKY |
2 | ![]() | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 8 | 0.667 | 19 | 30 | 49 | 0 | 0 | 5 | 4 | 9 | 1 | 182 | 47 | 59 | 67 | 9 | 197 | 47 | 42 | 121 | 19 | 2 | 10.53% | 22 | 3 | 86.36% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 130 | 74 | 144 | 58 | 106 | 52 | 53.1% | 10.4% | 90.9% | 101.3 | FUN |
3 | ![]() | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 21 | -4 | 4 | 0.333 | 17 | 25 | 42 | 2 | 0 | 9 | 3 | 5 | 0 | 159 | 60 | 50 | 49 | 0 | 228 | 50 | 48 | 86 | 19 | 4 | 21.05% | 24 | 2 | 91.67% | 1 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 116 | 63 | 140 | 56 | 103 | 51 | 40.6% | 10.7% | 90.8% | 101.5 | FUN |
4 | ![]() | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 8 | 0.800 | 18 | 31 | 49 | 0 | 0 | 4 | 7 | 6 | 1 | 163 | 58 | 54 | 49 | 2 | 162 | 58 | 39 | 112 | 17 | 2 | 11.76% | 18 | 4 | 77.78% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 109 | 61 | 107 | 46 | 89 | 45 | 64.0% | 11.0% | 92.0% | 103.0 | LUCKY |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 8 | 0.667 | 19 | 30 | 49 | 0 | 0 | 5 | 4 | 9 | 1 | 182 | 47 | 59 | 67 | 9 | 197 | 47 | 42 | 121 | 19 | 2 | 10.53% | 22 | 3 | 86.36% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 130 | 74 | 144 | 58 | 106 | 52 | 53.1% | 10.4% | 90.9% | 101.3 | FUN | |
_Vs Conference | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 58 | 45 | 13 | 24 | 0.706 | 58 | 99 | 157 | 0 | 0 | 16 | 18 | 22 | 2 | 516 | 159 | 173 | 173 | 11 | 555 | 162 | 119 | 367 | 57 | 9 | 15.79% | 59 | 10 | 83.05% | 0 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 363 | 204 | 386 | 159 | 297 | 149 | 58.3% | 11.2% | 91.9% | 103.1 | LUCKY | |
_Since Last GM Reset | 23 | 14 | 9 | 0 | 0 | 0 | 0 | 0 | 75 | 66 | 9 | 28 | 0.609 | 75 | 124 | 199 | 2 | 0 | 25 | 21 | 27 | 2 | 675 | 219 | 223 | 222 | 11 | 783 | 212 | 167 | 453 | 76 | 13 | 17.11% | 83 | 12 | 85.54% | 1 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 480 | 267 | 527 | 215 | 401 | 200 | 53.4% | 11.1% | 91.6% | 102.7 | LUCKY | |
Total | 23 | 14 | 9 | 0 | 0 | 0 | 0 | 0 | 75 | 66 | 9 | 28 | 0.609 | 75 | 124 | 199 | 2 | 0 | 25 | 21 | 27 | 2 | 675 | 219 | 223 | 222 | 11 | 783 | 212 | 167 | 453 | 76 | 13 | 17.11% | 83 | 12 | 85.54% | 1 | 252 | 514 | 49.03% | 296 | 599 | 49.42% | 162 | 316 | 51.27% | 480 | 267 | 527 | 215 | 401 | 200 | 53.4% | 11.1% | 91.6% | 102.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 514 |
Neutral Zone Start | 316 |
Defensive Zone Start | 599 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 710 |
Faceoffs Lost | 719 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 59 |
---|---|
PP Goal | 13 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 8 | 6 |
Lost | 3 | 6 |
Overtime Lost | 0 | 0 |
PP Attempt | 76 |
---|---|
PP Goal | 13 |
PK Attempt | 83 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 34.0 |
Goals For | 3.3 |
Goals Against | 2.9 |
Hits | 19.7 |
Shots Blocked | 9.2 |
Pim | 7.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Oct 12 | ![]() | @ | ![]() | CLB5,PIT3 | RECAP | |||||||||
Sun, Oct 13 | ![]() | @ | ![]() | CLB1,PIT6 | RECAP | |||||||||
Mon, Oct 14 | ![]() | @ | ![]() | PIT3,CLB4 (OT) | RECAP | |||||||||
Tue, Oct 15 | ![]() | @ | ![]() | PIT2,CLB4 | RECAP | |||||||||
Wed, Oct 16 | ![]() | @ | ![]() | CLB1,PIT2 (OT) | RECAP | |||||||||
Thu, Oct 17 | ![]() | @ | ![]() | PIT2,CLB4 | RECAP | |||||||||
Sat, Oct 19 | ![]() | @ | ![]() | DET3,CLB4 | RECAP | |||||||||
Sun, Oct 20 | ![]() | @ | ![]() | DET1,CLB2 | RECAP | |||||||||
Mon, Oct 21 | ![]() | @ | ![]() | CLB5,DET1 | RECAP | |||||||||
Tue, Oct 22 | ![]() | @ | ![]() | CLB1,DET3 | RECAP | |||||||||
Wed, Oct 23 | ![]() | @ | ![]() | DET3,CLB1 | RECAP | |||||||||
Thu, Oct 24 | ![]() | @ | ![]() | CLB8,DET3 | RECAP | |||||||||
Sat, Oct 26 | ![]() | @ | ![]() | CLB5,TOR4 (OT) | RECAP | |||||||||
Sun, Oct 27 | ![]() | @ | ![]() | CLB1,TOR3 | RECAP | |||||||||
Mon, Oct 28 | ![]() | @ | ![]() | TOR1,CLB3 | RECAP | |||||||||
Tue, Oct 29 | ![]() | @ | ![]() | TOR3,CLB5 | RECAP | |||||||||
Wed, Oct 30 | ![]() | @ | ![]() | CLB4,TOR2 | RECAP | |||||||||
Sat, Nov 2 | ![]() | @ | ![]() | CLB4,SJ 1 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sun, Nov 3 | ![]() | @ | ![]() | CLB3,SJ 5 | RECAP | |||||||||
Mon, Nov 4 | ![]() | @ | ![]() | SJ 6,CLB2 | RECAP | |||||||||
Tue, Nov 5 | ![]() | @ | ![]() | SJ 2,CLB4 | RECAP | |||||||||
Wed, Nov 6 | ![]() | @ | ![]() | CLB2,SJ 4 | RECAP | |||||||||
Thu, Nov 7 | ![]() | @ | ![]() | SJ 3,CLB2 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,300,000$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nationwide Arena | |
City | Columbus | ||
Capacity | 21136 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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Arena Capacity | 6300 | 5400 | 3736 | 4600 | 1100 |
Ticket Price | 90$ | 55$ | 30$ | 18$ | 185$ |
Attendance | 69300 | 59277 | 40672 | 50016 | 12069 |
Attendance PCT | 100.00% | 99.79% | 98.97% | 98.85% | 99.74% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 21030 - 99.50% | 1,636,871$ | 18,005,583$ | 21136 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,300,000$ | 85,300,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 88,420,767$ | 88,420,767$ |
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 | ![]() | 2022 | 78 | ||
Aleksi Malinen | ![]() | 2021 | 187 | ||
Aleksi Saarela | ![]() | Link | |||
Alex Ciernik | ![]() | 2023 | 101 | ||
Alexander Khovanov | ![]() | 2018 | 78 | ||
Alexander Melnichuk | ![]() | 2020 | 73 | ||
Alexander Rykov | ![]() | 2023 | 76 | ||
Alexei Melnichuk | ![]() | Link | |||
Amir Miftakhov | ![]() | 2020 | 172 | ||
Andrew Hammond | ![]() | Link | |||
Andy Greene | ![]() | Link | |||
Anton Johannesson | ![]() | 2020 | 121 | ||
Aram Minnetian | ![]() | 2023 | 110 | ||
Arttu Ruotsalainen | ![]() | 2020 | 143 | Link | |
Artyom Zagidulin | ![]() | Link | |||
Brent Johnson | ![]() | 2021 | 74 | ||
Bryce Mcconnell-Barker | ![]() | 2022 | 84 | ||
Connor Levis | ![]() | 2023 | 178 | ||
Connor Lockhart | ![]() | 2021 | 198 | ||
Denis Smirnov | ![]() | 2017 | 185 | ||
Dmitry Zavgorodniy | ![]() | 2018 | 213 | Link | |
Emil Jarventie | ![]() | 2023 | 173 | ||
Eric Florchuk | ![]() | 2018 | 204 | ||
Fraser Minten | ![]() | 2022 | 49 | ||
Jack Achan | ![]() | 2020 | 118 | ||
Jackson Kunz | ![]() | 2020 | 158 | ||
Jake Karabela | ![]() | 2022 | 130 | ||
Jake Pivonka | ![]() | 2018 | 98 | ||
Jayden Perron | ![]() | 2023 | 74 | ||
Jordan Sambrook | ![]() | 2016 | 176 | ||
Jorian Donovan | ![]() | 2022 | 125 | ||
Josh Filmon | ![]() | 2022 | 148 | ||
Kevin He | ![]() | 2024 | 112 | ||
Kirill Slepets | ![]() | 2019 | 139 | ||
Landon Sim | ![]() | 2022 | 215 | ||
Leo Sahlin Wallenius | ![]() | 2024 | 56 | ||
Luca Cagnoni | ![]() | 2023 | 100 | ||
Luca Delbelbelluz | ![]() | 2022 | 37 | ||
Matt Bodie | ![]() | 2014 | 123 | ||
Matt Lahey | ![]() | 2024 | 184 | ||
Michael Callow | ![]() | 2022 | 178 | ||
Mike Koster | ![]() | 2019 | 192 | ||
Mikhail Grigorenko | ![]() | Link | |||
Milos Roman | ![]() | 2018 | 120 | ||
Miroslav Holinka | ![]() | 2024 | 131 | ||
Mitchell Mattson | ![]() | 2016 | 156 | ||
Olivier Suni | ![]() | 2020 | 182 | ||
Oscar Plandowski | ![]() | 2021 | 151 | ||
Owen Lindmark | ![]() | 2019 | 183 | ||
Rieger Lorenz | ![]() | 2022 | 65 | ||
Rodion Amirov | ![]() | 2020 | 25 | ||
Ryan Ufko | ![]() | 2021 | 113 | ||
Simon Forsmark | ![]() | 2022 | 87 | ||
Simon Robertsson | ![]() | 2021 | 50 | ||
Slava Demin | ![]() | 2018 | 118 | ||
Steven Ruggiero | ![]() | 2015 | 183 | ||
Teemu Kivihalme | ![]() | 2019 | 176 | Link | |
Timofei Obvintsev | ![]() | 2024 | 143 | ||
Tuukka Rask | ![]() | Link | |||
Veeti Miettinen | ![]() | 2020 | 144 | ||
Yegor Rimashevskiy | ![]() | 2023 | 215 | ||
Zachary Schultz | ![]() | 2023 | 202 | ||
Zion Nybeck | ![]() | 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 | ![]() | 2022 | 78 | ||
Aleksi Malinen | ![]() | 2021 | 187 | ||
Aleksi Saarela | ![]() | Link | |||
Alex Ciernik | ![]() | 2023 | 101 | ||
Alexander Khovanov | ![]() | 2018 | 78 | ||
Alexander Melnichuk | ![]() | 2020 | 73 | ||
Alexander Rykov | ![]() | 2023 | 76 | ||
Alexei Melnichuk | ![]() | Link | |||
Amir Miftakhov | ![]() | 2020 | 172 | ||
Andrew Hammond | ![]() | Link | |||
Andy Greene | ![]() | Link | |||
Anton Johannesson | ![]() | 2020 | 121 | ||
Aram Minnetian | ![]() | 2023 | 110 | ||
Arttu Ruotsalainen | ![]() | 2020 | 143 | Link | |
Artyom Zagidulin | ![]() | Link | |||
Brent Johnson | ![]() | 2021 | 74 | ||
Bryce Mcconnell-Barker | ![]() | 2022 | 84 | ||
Connor Levis | ![]() | 2023 | 178 | ||
Connor Lockhart | ![]() | 2021 | 198 | ||
Denis Smirnov | ![]() | 2017 | 185 | ||
Dmitry Zavgorodniy | ![]() | 2018 | 213 | Link | |
Emil Jarventie | ![]() | 2023 | 173 | ||
Eric Florchuk | ![]() | 2018 | 204 | ||
Fraser Minten | ![]() | 2022 | 49 | ||
Jack Achan | ![]() | 2020 | 118 | ||
Jackson Kunz | ![]() | 2020 | 158 | ||
Jake Karabela | ![]() | 2022 | 130 | ||
Jake Pivonka | ![]() | 2018 | 98 | ||
Jayden Perron | ![]() | 2023 | 74 | ||
Jordan Sambrook | ![]() | 2016 | 176 | ||
Jorian Donovan | ![]() | 2022 | 125 | ||
Josh Filmon | ![]() | 2022 | 148 | ||
Kevin He | ![]() | 2024 | 112 | ||
Kirill Slepets | ![]() | 2019 | 139 | ||
Landon Sim | ![]() | 2022 | 215 | ||
Leo Sahlin Wallenius | ![]() | 2024 | 56 | ||
Luca Cagnoni | ![]() | 2023 | 100 | ||
Luca Delbelbelluz | ![]() | 2022 | 37 | ||
Matt Bodie | ![]() | 2014 | 123 | ||
Matt Lahey | ![]() | 2024 | 184 | ||
Michael Callow | ![]() | 2022 | 178 | ||
Mike Koster | ![]() | 2019 | 192 | ||
Mikhail Grigorenko | ![]() | Link | |||
Milos Roman | ![]() | 2018 | 120 | ||
Miroslav Holinka | ![]() | 2024 | 131 | ||
Mitchell Mattson | ![]() | 2016 | 156 | ||
Olivier Suni | ![]() | 2020 | 182 | ||
Oscar Plandowski | ![]() | 2021 | 151 | ||
Owen Lindmark | ![]() | 2019 | 183 | ||
Rieger Lorenz | ![]() | 2022 | 65 | ||
Rodion Amirov | ![]() | 2020 | 25 | ||
Ryan Ufko | ![]() | 2021 | 113 | ||
Simon Forsmark | ![]() | 2022 | 87 | ||
Simon Robertsson | ![]() | 2021 | 50 | ||
Slava Demin | ![]() | 2018 | 118 | ||
Steven Ruggiero | ![]() | 2015 | 183 | ||
Teemu Kivihalme | ![]() | 2019 | 176 | Link | |
Timofei Obvintsev | ![]() | 2024 | 143 | ||
Tuukka Rask | ![]() | Link | |||
Veeti Miettinen | ![]() | 2020 | 144 | ||
Yegor Rimashevskiy | ![]() | 2023 | 215 | ||
Zachary Schultz | ![]() | 2023 | 202 | ||
Zion Nybeck | ![]() | 2020 | 104 |
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