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Full Scoreboard »» |
![]() | Columbus Blue Jackets 26-17-2, 54pts · 5th 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 | 99.00 | 61 | 35 | 89 | 72 | 73 | 88 | 90 | 75 | 86 | 74 | 73 | 69 | 71 | 89 | 80 | 33 | 72 | 37 | 4,000,000$/4yrs | |||||
![]() | LW | 98.00 | 67 | 34 | 71 | 75 | 72 | 86 | 84 | 77 | 56 | 78 | 76 | 64 | 75 | 67 | 69 | 52 | 72 | 27 | 1,250,000$/3yrs | |||||
![]() | LW/RW | 99.00 | 56 | 35 | 88 | 82 | 78 | 86 | 79 | 76 | 73 | 71 | 74 | 65 | 77 | 70 | 72 | 53 | 71 | 28 | 3,500,000$/3yrs | |||||
![]() | LW/RW | 98.00 | 64 | 33 | 87 | 76 | 69 | 86 | 81 | 70 | 77 | 73 | 71 | 76 | 69 | 68 | 71 | 37 | 71 | 27 | 1,000,000$/1yrs | |||||
![]() | LW/RW | 99.00 | 56 | 34 | 86 | 77 | 69 | 87 | 90 | 76 | 58 | 75 | 77 | 62 | 78 | 67 | 71 | 42 | 71 | 27 | 2,750,000$/1yrs | |||||
![]() | C | 98.00 | 58 | 34 | 92 | 70 | 71 | 86 | 83 | 69 | 84 | 76 | 65 | 82 | 67 | 69 | 71 | 36 | 71 | 29 | 3,000,000$/4yrs | |||||
![]() | LW | 100.00 | 58 | 36 | 84 | 73 | 81 | 88 | 79 | 75 | 62 | 74 | 71 | 64 | 76 | 61 | 62 | 85 | 70 | 21 | 2,000,000$/4yrs | |||||
![]() | LW | 100.00 | 89 | 76 | 70 | 65 | 77 | 85 | 88 | 66 | 75 | 67 | 63 | 73 | 62 | 88 | 75 | 43 | 69 | 35 | 4,250,000$/4yrs | |||||
![]() | C | 100.00 | 77 | 36 | 82 | 66 | 78 | 79 | 83 | 65 | 76 | 64 | 63 | 79 | 62 | 84 | 76 | 43 | 69 | 36 | 3,200,000$/3yrs | |||||
![]() | C/LW | 100.00 | 74 | 39 | 87 | 64 | 80 | 84 | 88 | 64 | 76 | 62 | 63 | 81 | 64 | 68 | 70 | 67 | 68 | 27 | 2,250,000$/4yrs | |||||
![]() | C/RW | 100.00 | 63 | 35 | 82 | 74 | 65 | 83 | 80 | 73 | 78 | 72 | 71 | 59 | 74 | 62 | 63 | 87 | 68 | 21 | 975,000$/3yrs | |||||
![]() | D | 99.00 | 63 | 41 | 80 | 75 | 89 | 95 | 85 | 74 | 30 | 85 | 79 | 86 | 62 | 71 | 69 | 87 | 77 | 26 | 5,300,000$/1yrs | |||||
![]() | D | 99.00 | 62 | 38 | 85 | 71 | 89 | 94 | 90 | 69 | 30 | 78 | 66 | 88 | 54 | 79 | 74 | 38 | 76 | 32 | 5,500,000$/1yrs | |||||
![]() | D | 100.00 | 90 | 85 | 74 | 63 | 99 | 87 | 91 | 62 | 30 | 72 | 59 | 77 | 51 | 73 | 71 | 67 | 73 | 30 | 3,300,000$/1yrs | |||||
![]() | D | 100.00 | 64 | 36 | 81 | 74 | 82 | 90 | 84 | 73 | 30 | 78 | 72 | 73 | 58 | 63 | 64 | 85 | 72 | 23 | 1,750,000$/1yrs | |||||
![]() | D | 100.00 | 80 | 77 | 76 | 63 | 90 | 83 | 88 | 59 | 30 | 64 | 55 | 80 | 47 | 77 | 76 | 38 | 72 | 33 | 5,500,000$/4yrs | |||||
![]() | D | 100.00 | 59 | 34 | 93 | 62 | 70 | 88 | 95 | 58 | 30 | 66 | 56 | 82 | 53 | 91 | 79 | 23 | 71 | 40 | 5,000,000$/3yrs | |||||
![]() | D | 100.00 | 62 | 36 | 93 | 66 | 79 | 87 | 82 | 63 | 30 | 73 | 55 | 77 | 48 | 72 | 69 | 73 | 70 | 29 | 2,800,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | D | 100.00 | 66 | 39 | 85 | 67 | 78 | 84 | 86 | 63 | 30 | 68 | 59 | 74 | 50 | 65 | 67 | 77 | 69 | 25 | 2,250,000$/2yrs | |||||
TEAM AVERAGE | 99.42 | 67 | 43 | 83 | 70 | 78 | 87 | 86 | 69 | 55 | 72 | 67 | 74 | 63 | 73 | 71 | 56 | 71 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 96.00 | 93 | 95 | 91 | 85 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 69 | 77 | 65 | 80 | 27 | 4,500,000$/4yrs | |
![]() | 0 | 100.00 | 82 | 83 | 82 | 84 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 72 | 82 | 56 | 73 | 28 | 3,500,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 88 | 89 | 87 | 85 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 71 | 80 | 61 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Yeo | 74 | 69 | 72 | 75 | 73 | 68 | 77 | CAN | 49 | 1 | 1,000,000$ |
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 | Paul Stastny | ![]() | 0 | C/LW | 45 | 14 | 31 | 45 | -3 | 8 | 0 | 47 | 164 | 47 | 93 | 8.54% | 25 | 20.39 | 6 | 12 | 18 | 0 | 0 | 0 | 6 | 3 | 1 | 54.98% | 0 | 0 | 1.00 | 1 | 1 | 1.02 | ||
2 | Michael Bunting | ![]() | 0 | LW | 44 | 17 | 28 | 45 | 2 | 54 | 0 | 81 | 169 | 53 | 110 | 10.06% | 14 | 18.79 | 7 | 13 | 20 | 0 | 0 | 0 | 0 | 0 | 1 | 39.73% | 0 | 0 | 1.02 | 0 | 1 | 0.92 | ||
3 | Trevor Moore | ![]() | 0 | LW/RW | 45 | 22 | 15 | 37 | 4 | 8 | 0 | 61 | 140 | 43 | 93 | 15.71% | 24 | 22.95 | 7 | 8 | 15 | 1 | 1 | 2 | 134 | 4 | 3 | 39.36% | 0 | 0 | 0.82 | 0 | 1 | 0.92 | ||
4 | Andreas Athanasiou | ![]() | 0 | LW/RW | 45 | 13 | 18 | 31 | 4 | 4 | 0 | 46 | 145 | 51 | 82 | 8.97% | 14 | 17.27 | 3 | 5 | 8 | 0 | 0 | 0 | 7 | 1 | 0 | 40.54% | 0 | 0 | 0.69 | 1 | 4 | 0.83 | ||
5 | Victor Olofsson | ![]() | 0 | LW/RW | 45 | 10 | 18 | 28 | 2 | 18 | 0 | 54 | 154 | 41 | 90 | 6.49% | 18 | 17.14 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 1 | 47.22% | 0 | 0 | 0.62 | 1 | 4 | 0.73 | ||
6 | Frederick Gaudreau | ![]() | 0 | C | 45 | 11 | 17 | 28 | 10 | 4 | 0 | 72 | 64 | 20 | 49 | 17.19% | 29 | 20.53 | 3 | 3 | 6 | 1 | 1 | 2 | 136 | 2 | 1 | 49.89% | 0 | 0 | 0.62 | 0 | 0 | 0.66 | ||
7 | Trevor Lewis | ![]() | 0 | C | 45 | 9 | 11 | 20 | -2 | 12 | 0 | 77 | 109 | 35 | 69 | 8.26% | 31 | 17.86 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 3 | 1 | 48.75% | 0 | 0 | 0.44 | 0 | 0 | 0.53 | ||
8 | Seth Jarvis | ![]() | 0 | C/RW | 42 | 8 | 10 | 18 | 4 | 14 | 0 | 36 | 102 | 30 | 62 | 7.84% | 9 | 10.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 53.13% | 0 | 0 | 0.43 | 0 | 0 | 0.53 | ||
9 | Mattias Ekholm | ![]() | 0 | D | 45 | 3 | 14 | 17 | -13 | 16 | 0 | 46 | 53 | 39 | 24 | 5.66% | 56 | 23.04 | 2 | 4 | 6 | 0 | 0 | 0 | 86 | 0 | 1 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.27 | ||
10 | Matt Boldy | ![]() | 0 | LW | 45 | 10 | 7 | 17 | 6 | 8 | 0 | 24 | 82 | 29 | 48 | 12.20% | 10 | 11.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 36.36% | 0 | 0 | 0.38 | 1 | 4 | 0.47 | ||
11 | Evan Bouchard | ![]() | 0 | D | 45 | 2 | 14 | 16 | -7 | 16 | 0 | 34 | 50 | 28 | 35 | 4.00% | 45 | 18.33 | 1 | 5 | 6 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 1 | 0.28 | ||
12 | Aaron Ekblad | ![]() | 0 | D | 45 | 2 | 11 | 13 | 5 | 20 | 0 | 38 | 62 | 27 | 31 | 3.23% | 59 | 23.64 | 1 | 0 | 1 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.35 | ||
13 | Jamie Oleksiak | ![]() | 0 | D | 45 | 2 | 10 | 12 | -8 | 45 | 5 | 70 | 40 | 17 | 10 | 5.00% | 49 | 20.37 | 1 | 1 | 2 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.08 | ||
14 | Nick Foligno | ![]() | 0 | LW | 45 | 3 | 7 | 10 | -4 | 33 | 5 | 60 | 56 | 20 | 51 | 5.36% | 9 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 2 | 0 | 35.48% | 0 | 0 | 0.22 | 0 | 0 | 0.15 | ||
15 | Andy Greene | ![]() | 0 | D | 45 | 2 | 5 | 7 | 24 | 0 | 0 | 19 | 35 | 15 | 16 | 5.71% | 73 | 20.83 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 1 | 0 | 0.00% | 1 | 0 | 0.16 | 0 | 0 | 0.43 | ||
16 | Robert Bortuzzo | ![]() | 0 | D | 45 | 1 | 5 | 6 | 24 | 52 | 0 | 47 | 33 | 20 | 19 | 3.03% | 43 | 20.19 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 1 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.19 | ||
17 | Ryan Murray | ![]() | 0 | D | 45 | 1 | 4 | 5 | -3 | 4 | 0 | 13 | 28 | 13 | 10 | 3.57% | 42 | 14.73 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.13 | ||
18 | Jason Dickinson | ![]() | 0 | C/LW | 45 | 1 | 2 | 3 | -4 | 2 | 0 | 36 | 30 | 11 | 15 | 3.33% | 11 | 9.55 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0 | 0 | 60.87% | 1 | 0 | 0.07 | 0 | 1 | 0.09 | ||
19 | Jacob Larsson | ![]() | 0 | D | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.98 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | ||
Team Total or Average | 810 | 131 | 227 | 358 | 41 | 320 | 10 | 862 | 1517 | 539 | 907 | 8.64% | 561 | 17.58 | 34 | 57 | 91 | 1200 | 2 | 2 | 4 | 1004 | 23 | 11 | 50.65% | 2902 | 309 | 327 | 2 | 0 | 0.50 | 4 | 17 |
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 | ![]() | 43 | 24 | 17 | 2 | 0.919 | 2.60 | 2588 | 4 | 0 | 112 | 1380 | 580 | 3 | 2 | 0.857 | 14 | 43 | 2 | 4 | 6 | 2 |
2 | Joonas Korpisalo | ![]() | 3 | 2 | 0 | 0 | 0.925 | 2.31 | 130 | 0 | 0 | 5 | 67 | 37 | 0 | 0 | 0.000 | 0 | 2 | 43 | 1 | 0 | 0 |
Team Total or Average | 46 | 26 | 17 | 2 | 0.919 | 2.58 | 2718 | 4 | 0 | 117 | 1447 | 617 | 3 | 2 | 0.857 | 14 | 45 | 45 | 5 | 6 | 2 |
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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 13 | 10 | 4 | 0 | 32 | 11 | 16 | 13 | 4 | 1 | 25.00% | 8 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 20 | 10 | 21 | 9 | 18 | 9 | 50.0% | 7.4% | 96.9% | 104.3 | DULL |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 1 | 4 | 2 | 1 | 65 | 16 | 25 | 24 | 3 | 66 | 19 | 10 | 32 | 10 | 3 | 30.00% | 5 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 40 | 20 | 47 | 19 | 37 | 19 | 55.6% | 12.3% | 93.9% | 106.2 | LUCKY |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 2 | 5 | 3 | 0 | 59 | 15 | 26 | 18 | 0 | 43 | 12 | 21 | 44 | 5 | 4 | 80.00% | 8 | 1 | 87.50% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 41 | 23 | 39 | 19 | 38 | 17 | 85.7% | 16.9% | 95.3% | 112.3 | LUCKY |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 36 | 12 | 11 | 13 | 0 | 23 | 8 | 0 | 22 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 24 | 14 | 16 | 9 | 19 | 10 | 0.0% | 2.8% | 87.0% | 89.7 | Unlucky |
5 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 2 | 1 | 4 | 0 | 95 | 34 | 38 | 23 | 0 | 99 | 37 | 23 | 58 | 12 | 2 | 16.67% | 9 | 4 | 55.56% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 64 | 36 | 59 | 27 | 55 | 28 | 55.6% | 7.4% | 91.9% | 99.3 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 69 | 16 | 31 | 22 | 0 | 77 | 22 | 10 | 27 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 36 | 19 | 48 | 18 | 34 | 16 | 54.5% | 8.7% | 92.2% | 100.9 | DULL |
7 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 1 | 0 | 64 | 30 | 23 | 11 | 0 | 54 | 27 | 12 | 43 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 1 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 43 | 26 | 40 | 16 | 36 | 18 | 71.4% | 10.9% | 94.4% | 105.4 | LUCKY |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 10 | 11 | 6 | 0 | 33 | 16 | 10 | 10 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 20 | 12 | 21 | 9 | 17 | 8 | 50.0% | 7.4% | 87.9% | 95.3 | Unlucky |
9 | ![]() | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 11 | 13 | -2 | 3 | 0.500 | 11 | 18 | 29 | 1 | 0 | 1 | 5 | 4 | 1 | 111 | 32 | 51 | 27 | 1 | 127 | 36 | 18 | 55 | 10 | 5 | 50.00% | 9 | 2 | 77.78% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 59 | 33 | 67 | 26 | 53 | 26 | 35.3% | 9.9% | 89.8% | 99.7 | FUN |
10 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 56 | 20 | 14 | 22 | 0 | 61 | 23 | 26 | 30 | 3 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 42 | 23 | 42 | 18 | 35 | 16 | 66.7% | 7.1% | 91.8% | 98.9 | DULL |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 36 | 14 | 12 | 10 | 0 | 32 | 15 | 4 | 24 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 24 | 14 | 18 | 8 | 17 | 8 | 25.0% | 5.6% | 87.5% | 93.1 | Unlucky |
12 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 68 | 21 | 24 | 23 | 0 | 46 | 18 | 2 | 41 | 13 | 1 | 7.69% | 1 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 48 | 28 | 36 | 17 | 35 | 19 | 62.5% | 8.8% | 93.5% | 102.3 | DULL |
13 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 68 | 26 | 23 | 18 | 4 | 50 | 23 | 6 | 56 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 48 | 27 | 37 | 18 | 38 | 21 | 42.9% | 7.4% | 92.0% | 99.4 | DULL |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 34 | 8 | 8 | 18 | 0 | 32 | 10 | 16 | 15 | 0 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 20 | 11 | 22 | 9 | 16 | 7 | 33.3% | 2.9% | 90.6% | 93.6 | Unlucky |
15 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 2 | 6 | 3 | 0 | 85 | 23 | 40 | 22 | 0 | 115 | 42 | 26 | 48 | 8 | 1 | 12.50% | 14 | 1 | 92.86% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 60 | 33 | 66 | 28 | 53 | 26 | 55.6% | 12.9% | 92.2% | 105.1 | LUCKY |
16 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 53 | 25 | 13 | 15 | 0 | 64 | 13 | 10 | 28 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 36 | 17 | 44 | 19 | 39 | 19 | 40.0% | 5.7% | 93.8% | 99.4 | DULL |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 37 | 15 | 12 | 10 | 0 | 29 | 6 | 4 | 21 | 6 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 22 | 12 | 18 | 8 | 18 | 9 | 40.0% | 5.4% | 86.2% | 91.6 | Unlucky |
18 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 2 | 6 | 4 | 1 | 93 | 29 | 43 | 19 | 2 | 93 | 35 | 12 | 51 | 14 | 3 | 21.43% | 6 | 4 | 33.33% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 66 | 36 | 58 | 27 | 57 | 30 | 62.5% | 14.0% | 89.2% | 103.2 | FUN |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 41 | 9 | 17 | 15 | 0 | 27 | 9 | 4 | 10 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 23 | 14 | 19 | 8 | 17 | 8 | 50.0% | 9.8% | 88.9% | 98.6 | FUN |
20 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 0 | 5 | 1 | 57 | 13 | 21 | 21 | 5 | 81 | 31 | 10 | 45 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 38 | 19 | 49 | 19 | 36 | 17 | 55.6% | 12.3% | 95.1% | 107.3 | LUCKY |
21 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 37 | 14 | 9 | 14 | 0 | 29 | 14 | 6 | 11 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 22 | 12 | 20 | 9 | 17 | 9 | 28.6% | 5.4% | 79.3% | 84.7 | Unlucky |
22 | ![]() | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 11 | 18 | 0 | 0 | 0 | 2 | 4 | 2 | 89 | 24 | 30 | 34 | 6 | 101 | 28 | 24 | 65 | 8 | 1 | 12.50% | 11 | 3 | 72.73% | 1 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 60 | 31 | 63 | 29 | 60 | 29 | 66.7% | 7.9% | 94.1% | 101.9 | DULL |
23 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 38 | 11 | 12 | 15 | 0 | 34 | 6 | 8 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 21 | 12 | 20 | 9 | 17 | 8 | 50.0% | 5.3% | 91.2% | 96.4 | DULL |
24 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 0 | 1 | 71 | 15 | 27 | 26 | 3 | 67 | 30 | 20 | 36 | 0 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 41 | 23 | 42 | 18 | 35 | 17 | 44.4% | 5.6% | 91.0% | 96.7 | Unlucky |
25 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 40 | 14 | 16 | 10 | 0 | 34 | 14 | 8 | 17 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 23 | 14 | 19 | 7 | 16 | 8 | 80.0% | 12.5% | 94.1% | 106.6 | LUCKY |
_Vs Division | 16 | 6 | 7 | 0 | 2 | 0 | 1 | 0 | 46 | 44 | 2 | 18 | 0.563 | 46 | 74 | 120 | 0 | 0 | 8 | 17 | 18 | 3 | 488 | 147 | 190 | 144 | 10 | 551 | 198 | 117 | 281 | 48 | 9 | 18.75% | 58 | 12 | 79.31% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 328 | 177 | 343 | 150 | 294 | 148 | 53.6% | 9.4% | 92.0% | 101.4 | LUCKY | |
_Vs Conference | 31 | 13 | 11 | 0 | 3 | 1 | 3 | 0 | 94 | 81 | 13 | 39 | 0.629 | 94 | 154 | 248 | 1 | 0 | 14 | 38 | 36 | 7 | 973 | 290 | 372 | 302 | 20 | 1024 | 340 | 222 | 569 | 103 | 23 | 22.33% | 107 | 22 | 79.44% | 1 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 643 | 350 | 659 | 290 | 573 | 286 | 54.6% | 9.7% | 92.1% | 101.8 | LUCKY | |
_Since Last GM Reset | 45 | 20 | 17 | 0 | 3 | 1 | 3 | 1 | 132 | 120 | 12 | 54 | 0.600 | 132 | 216 | 348 | 2 | 0 | 24 | 55 | 47 | 7 | 1456 | 459 | 547 | 440 | 24 | 1449 | 505 | 306 | 826 | 150 | 33 | 22.00% | 150 | 31 | 79.33% | 2 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 953 | 530 | 943 | 416 | 824 | 414 | 52.7% | 9.1% | 91.7% | 100.8 | LUCKY | |
Total | 45 | 20 | 17 | 0 | 3 | 1 | 3 | 1 | 132 | 120 | 12 | 54 | 0.600 | 132 | 216 | 348 | 2 | 0 | 24 | 55 | 47 | 7 | 1456 | 459 | 547 | 440 | 24 | 1449 | 505 | 306 | 826 | 150 | 33 | 22.00% | 150 | 31 | 79.33% | 2 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 953 | 530 | 943 | 416 | 824 | 414 | 52.7% | 9.1% | 91.7% | 100.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1114 |
Neutral Zone Start | 622 |
Defensive Zone Start | 1148 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1470 |
Faceoffs Lost | 1414 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 95 |
---|---|
PP Goal | 33 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 14 | 12 |
Lost | 11 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 150 |
---|---|
PP Goal | 33 |
PK Attempt | 150 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 32.4 |
Shots Against | 32.2 |
Goals For | 2.9 |
Goals Against | 2.7 |
Hits | 18.4 |
Shots Blocked | 11.2 |
Pim | 6.8 |
![]() | |
Projected Total Cap Hit | 67,575,000$ |
Projected Cap Space | 14,925,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 34,121,448$ |
Players In Salary Cap | 21 |
Contracts | 56/50 |
LTIR Players | 0 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 26 | 5,300,000$ | 5,300,000$ | ![]() | ||||||
Andreas Athanasiou ![]() | LW/RW | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Andy Greene ![]() | D | 40 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Evan Bouchard ![]() | D | 23 | 1,750,000$ | 1,750,000$ | RFA | ||||||
Frederick Gaudreau ![]() | C | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Jacob Larsson ![]() | D | 25 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ![]() | |||||
Jamie Oleksiak ![]() | D | 30 | 3,300,000$ | 3,300,000$ | UFA | ||||||
Jason Dickinson ![]() | C/LW | 27 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||
Joonas Korpisalo ![]() | G | 28 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Matt Boldy ![]() | LW | 21 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ![]() | |||
Mattias Ekholm ![]() | D | 32 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Michael Bunting ![]() | LW | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Nick Foligno ![]() | LW | 35 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Paul Stastny ![]() | C/LW | 37 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Robert Bortuzzo ![]() | D | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Ryan Murray ![]() | D | 29 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | ||||
Seth Jarvis ![]() | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Thatcher Demko ![]() | G | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Trevor Lewis ![]() | C | 36 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Trevor Moore ![]() | LW/RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Victor Olofsson ![]() | LW/RW | 27 | 2,750,000$ | 2,750,000$ | ![]() |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi ![]() | C | 24 | 950,000$ | 950,000$ | RFA | ||||||
Aleksi Saarela ![]() | C/LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Alex Beaucage ![]() | RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Alexander Khovanov ![]() | C | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Alexei Melnichuk ![]() | G | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Amir Miftakhov ![]() | G | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Andrew Hammond ![]() | G | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Artemi Kniazev ![]() | D | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Arttu Ruotsalainen ![]() | C/LW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | ||||
Artyom Zagidulin ![]() | G | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Clark Bishop ![]() | C/LW | 26 | 1,395,050$ | 1,395,050$ | 1,395,050$ | 1,395,050$ | UFA | ||||
Cole Smith ![]() | LW | 27 | 1,200,000$ | 1,200,000$ | ![]() | ||||||
Connor Zary ![]() | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Dmitry Zavgorodniy ![]() | RW | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||
Eric Staal ![]() | C | 38 | 6,500,000$ | 6,500,000$ | UFA | ||||||
Gabriel Fortier ![]() | LW | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||
Ian Mitchell ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ![]() | |||
Ivan Lodnia ![]() | RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Jack Ahcan ![]() | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Jack Studnicka ![]() | C/RW | 23 | 350,000$ | 750,000$ | RFA | ||||||
Joe Snively ![]() | C | 27 | 950,000$ | 950,000$ | ![]() | ||||||
Jonathan Gruden ![]() | LW | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||
Marco Rossi ![]() | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mason Shaw ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Matthew Phillips ![]() | C | 24 | 500,000$ | 600,000$ | 600,000$ | ![]() | |||||
Mikhail Grigorenko ![]() | C | 28 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Mikko Kokkonen ![]() | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Nathan Legare ![]() | RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Nick Perbix ![]() | D | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Ryan McLeod ![]() | C | 23 | 950,000$ | 950,000$ | RFA | ||||||
Simon Benoit ![]() | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Teemu Kivihalme ![]() | D | 27 | 950,000$ | 950,000$ | UFA | ||||||
Tuukka Rask ![]() | G | 35 | 8,150,000$ | 8,150,000$ | 8,150,000$ | UFA | |||||
Victor Soderstrom ![]() | D | 21 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||
Wyatt Kalynuk ![]() | D | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() |
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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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 13 | 10 | 4 | 0 | 32 | 11 | 16 | 13 | 4 | 1 | 25.00% | 8 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 20 | 10 | 21 | 9 | 18 | 9 | 50.0% | 7.4% | 96.9% | 104.3 | DULL |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 1 | 4 | 2 | 1 | 65 | 16 | 25 | 24 | 3 | 66 | 19 | 10 | 32 | 10 | 3 | 30.00% | 5 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 40 | 20 | 47 | 19 | 37 | 19 | 55.6% | 12.3% | 93.9% | 106.2 | LUCKY |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 2 | 5 | 3 | 0 | 59 | 15 | 26 | 18 | 0 | 43 | 12 | 21 | 44 | 5 | 4 | 80.00% | 8 | 1 | 87.50% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 41 | 23 | 39 | 19 | 38 | 17 | 85.7% | 16.9% | 95.3% | 112.3 | LUCKY |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 36 | 12 | 11 | 13 | 0 | 23 | 8 | 0 | 22 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 24 | 14 | 16 | 9 | 19 | 10 | 0.0% | 2.8% | 87.0% | 89.7 | Unlucky |
5 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 2 | 1 | 4 | 0 | 95 | 34 | 38 | 23 | 0 | 99 | 37 | 23 | 58 | 12 | 2 | 16.67% | 9 | 4 | 55.56% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 64 | 36 | 59 | 27 | 55 | 28 | 55.6% | 7.4% | 91.9% | 99.3 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 69 | 16 | 31 | 22 | 0 | 77 | 22 | 10 | 27 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 36 | 19 | 48 | 18 | 34 | 16 | 54.5% | 8.7% | 92.2% | 100.9 | DULL |
7 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 1 | 0 | 64 | 30 | 23 | 11 | 0 | 54 | 27 | 12 | 43 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 1 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 43 | 26 | 40 | 16 | 36 | 18 | 71.4% | 10.9% | 94.4% | 105.4 | LUCKY |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 10 | 11 | 6 | 0 | 33 | 16 | 10 | 10 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 20 | 12 | 21 | 9 | 17 | 8 | 50.0% | 7.4% | 87.9% | 95.3 | Unlucky |
9 | ![]() | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 11 | 13 | -2 | 3 | 0.500 | 11 | 18 | 29 | 1 | 0 | 1 | 5 | 4 | 1 | 111 | 32 | 51 | 27 | 1 | 127 | 36 | 18 | 55 | 10 | 5 | 50.00% | 9 | 2 | 77.78% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 59 | 33 | 67 | 26 | 53 | 26 | 35.3% | 9.9% | 89.8% | 99.7 | FUN |
10 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 56 | 20 | 14 | 22 | 0 | 61 | 23 | 26 | 30 | 3 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 42 | 23 | 42 | 18 | 35 | 16 | 66.7% | 7.1% | 91.8% | 98.9 | DULL |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 36 | 14 | 12 | 10 | 0 | 32 | 15 | 4 | 24 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 24 | 14 | 18 | 8 | 17 | 8 | 25.0% | 5.6% | 87.5% | 93.1 | Unlucky |
12 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 68 | 21 | 24 | 23 | 0 | 46 | 18 | 2 | 41 | 13 | 1 | 7.69% | 1 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 48 | 28 | 36 | 17 | 35 | 19 | 62.5% | 8.8% | 93.5% | 102.3 | DULL |
13 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 68 | 26 | 23 | 18 | 4 | 50 | 23 | 6 | 56 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 48 | 27 | 37 | 18 | 38 | 21 | 42.9% | 7.4% | 92.0% | 99.4 | DULL |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 34 | 8 | 8 | 18 | 0 | 32 | 10 | 16 | 15 | 0 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 20 | 11 | 22 | 9 | 16 | 7 | 33.3% | 2.9% | 90.6% | 93.6 | Unlucky |
15 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 2 | 6 | 3 | 0 | 85 | 23 | 40 | 22 | 0 | 115 | 42 | 26 | 48 | 8 | 1 | 12.50% | 14 | 1 | 92.86% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 60 | 33 | 66 | 28 | 53 | 26 | 55.6% | 12.9% | 92.2% | 105.1 | LUCKY |
16 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 53 | 25 | 13 | 15 | 0 | 64 | 13 | 10 | 28 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 36 | 17 | 44 | 19 | 39 | 19 | 40.0% | 5.7% | 93.8% | 99.4 | DULL |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 37 | 15 | 12 | 10 | 0 | 29 | 6 | 4 | 21 | 6 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 22 | 12 | 18 | 8 | 18 | 9 | 40.0% | 5.4% | 86.2% | 91.6 | Unlucky |
18 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 2 | 6 | 4 | 1 | 93 | 29 | 43 | 19 | 2 | 93 | 35 | 12 | 51 | 14 | 3 | 21.43% | 6 | 4 | 33.33% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 66 | 36 | 58 | 27 | 57 | 30 | 62.5% | 14.0% | 89.2% | 103.2 | FUN |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 41 | 9 | 17 | 15 | 0 | 27 | 9 | 4 | 10 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 23 | 14 | 19 | 8 | 17 | 8 | 50.0% | 9.8% | 88.9% | 98.6 | FUN |
20 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 0 | 5 | 1 | 57 | 13 | 21 | 21 | 5 | 81 | 31 | 10 | 45 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 38 | 19 | 49 | 19 | 36 | 17 | 55.6% | 12.3% | 95.1% | 107.3 | LUCKY |
21 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 37 | 14 | 9 | 14 | 0 | 29 | 14 | 6 | 11 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 22 | 12 | 20 | 9 | 17 | 9 | 28.6% | 5.4% | 79.3% | 84.7 | Unlucky |
22 | ![]() | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 11 | 18 | 0 | 0 | 0 | 2 | 4 | 2 | 89 | 24 | 30 | 34 | 6 | 101 | 28 | 24 | 65 | 8 | 1 | 12.50% | 11 | 3 | 72.73% | 1 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 60 | 31 | 63 | 29 | 60 | 29 | 66.7% | 7.9% | 94.1% | 101.9 | DULL |
23 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 38 | 11 | 12 | 15 | 0 | 34 | 6 | 8 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 21 | 12 | 20 | 9 | 17 | 8 | 50.0% | 5.3% | 91.2% | 96.4 | DULL |
24 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 0 | 1 | 71 | 15 | 27 | 26 | 3 | 67 | 30 | 20 | 36 | 0 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 41 | 23 | 42 | 18 | 35 | 17 | 44.4% | 5.6% | 91.0% | 96.7 | Unlucky |
25 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 40 | 14 | 16 | 10 | 0 | 34 | 14 | 8 | 17 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 23 | 14 | 19 | 7 | 16 | 8 | 80.0% | 12.5% | 94.1% | 106.6 | LUCKY |
_Vs Division | 16 | 6 | 7 | 0 | 2 | 0 | 1 | 0 | 46 | 44 | 2 | 18 | 0.563 | 46 | 74 | 120 | 0 | 0 | 8 | 17 | 18 | 3 | 488 | 147 | 190 | 144 | 10 | 551 | 198 | 117 | 281 | 48 | 9 | 18.75% | 58 | 12 | 79.31% | 0 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 328 | 177 | 343 | 150 | 294 | 148 | 53.6% | 9.4% | 92.0% | 101.4 | LUCKY | |
_Vs Conference | 31 | 13 | 11 | 0 | 3 | 1 | 3 | 0 | 94 | 81 | 13 | 39 | 0.629 | 94 | 154 | 248 | 1 | 0 | 14 | 38 | 36 | 7 | 973 | 290 | 372 | 302 | 20 | 1024 | 340 | 222 | 569 | 103 | 23 | 22.33% | 107 | 22 | 79.44% | 1 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 643 | 350 | 659 | 290 | 573 | 286 | 54.6% | 9.7% | 92.1% | 101.8 | LUCKY | |
_Since Last GM Reset | 45 | 20 | 17 | 0 | 3 | 1 | 3 | 1 | 132 | 120 | 12 | 54 | 0.600 | 132 | 216 | 348 | 2 | 0 | 24 | 55 | 47 | 7 | 1456 | 459 | 547 | 440 | 24 | 1449 | 505 | 306 | 826 | 150 | 33 | 22.00% | 150 | 31 | 79.33% | 2 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 953 | 530 | 943 | 416 | 824 | 414 | 52.7% | 9.1% | 91.7% | 100.8 | LUCKY | |
Total | 45 | 20 | 17 | 0 | 3 | 1 | 3 | 1 | 132 | 120 | 12 | 54 | 0.600 | 132 | 216 | 348 | 2 | 0 | 24 | 55 | 47 | 7 | 1456 | 459 | 547 | 440 | 24 | 1449 | 505 | 306 | 826 | 150 | 33 | 22.00% | 150 | 31 | 79.33% | 2 | 559 | 1114 | 50.18% | 588 | 1148 | 51.22% | 323 | 622 | 51.93% | 953 | 530 | 943 | 416 | 824 | 414 | 52.7% | 9.1% | 91.7% | 100.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1114 |
Neutral Zone Start | 622 |
Defensive Zone Start | 1148 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1470 |
Faceoffs Lost | 1414 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 22.4 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 95 |
---|---|
PP Goal | 33 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 14 | 12 |
Lost | 11 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 150 |
---|---|
PP Goal | 33 |
PK Attempt | 150 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 32.4 |
Shots Against | 32.2 |
Goals For | 2.9 |
Goals Against | 2.7 |
Hits | 18.4 |
Shots Blocked | 11.2 |
Pim | 6.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thu, Oct 27 | ![]() | @ | ![]() | CLB2,CAR3 | RECAP | |||||||||
Sat, Oct 29 | ![]() | @ | ![]() | TAM2,CLB1 | RECAP | |||||||||
Sun, Oct 30 | ![]() | @ | ![]() | CLB2,STL6 | RECAP | |||||||||
Wed, Nov 2 | ![]() | @ | ![]() | VAN3,CLB2 | RECAP | |||||||||
Fri, Nov 4 | ![]() | @ | ![]() | NAS1,CLB3 | RECAP | |||||||||
Sun, Nov 6 | ![]() | @ | ![]() | PIT3,CLB5 | RECAP | |||||||||
Mon, Nov 7 | ![]() | @ | ![]() | CLB2,NYR1 | RECAP | |||||||||
Wed, Nov 9 | ![]() | @ | ![]() | PHO3,CLB4 | RECAP | |||||||||
Sat, Nov 12 | ![]() | @ | ![]() | BOS1,CLB4 | RECAP | |||||||||
Mon, Nov 14 | ![]() | @ | ![]() | CLB1,NJD3 | RECAP | |||||||||
Sat, Nov 19 | ![]() | @ | ![]() | CLB3,COL2 | RECAP | |||||||||
Sun, Nov 20 | ![]() | @ | ![]() | COL1,CLB4 | RECAP | |||||||||
Fri, Nov 25 | ![]() | @ | ![]() | PHI5,CLB6 (OT) | RECAP | |||||||||
Sun, Nov 27 | ![]() | @ | ![]() | CLB3,NYI4 | RECAP | |||||||||
Wed, Nov 30 | ![]() | @ | ![]() | PHI3,CLB1 | RECAP | |||||||||
Fri, Dec 2 | ![]() | @ | ![]() | MTL2,CLB4 | RECAP | |||||||||
Sun, Dec 4 | ![]() | @ | ![]() | DET4,CLB3 (OT) | RECAP | |||||||||
Mon, Dec 5 | ![]() | @ | ![]() | FLO4,CLB1 | RECAP | |||||||||
Thu, Dec 8 | ![]() | @ | ![]() | MTL1,CLB2 | RECAP | |||||||||
Sat, Dec 10 | ![]() | @ | ![]() | NYI3,CLB5 | RECAP | |||||||||
Sun, Dec 11 | ![]() | @ | ![]() | CLB2,NAS3 (SO) | RECAP | |||||||||
Tue, Dec 13 | ![]() | @ | ![]() | GKV2,CLB5 | RECAP | |||||||||
Sat, Dec 17 | ![]() | @ | ![]() | CLB2,WPG1 | RECAP | |||||||||
Mon, Dec 19 | ![]() | @ | ![]() | DET4,CLB5 (OT) | RECAP | |||||||||
Wed, Dec 21 | ![]() | @ | ![]() | CLB2,PIT1 (SO) | RECAP | |||||||||
Thu, Dec 22 | ![]() | @ | ![]() | BUF1,CLB7 | RECAP | |||||||||
Sat, Dec 24 | ![]() | @ | ![]() | CAL3,CLB1 | RECAP | |||||||||
Mon, Dec 26 | ![]() | @ | ![]() | LOS4,CLB2 | RECAP | |||||||||
Wed, Dec 28 | ![]() | @ | ![]() | CLB3,FLO1 | RECAP | |||||||||
Fri, Dec 30 | ![]() | @ | ![]() | CLB3,TAM2 (SO) | RECAP | |||||||||
Sun, Jan 1 | ![]() | @ | ![]() | CLB4,BOS3 (SO) | RECAP | |||||||||
Tue, Jan 3 | ![]() | @ | ![]() | DAL4,CLB2 | RECAP | |||||||||
Wed, Jan 4 | ![]() | @ | ![]() | CLB6,PHI2 | RECAP | |||||||||
Sat, Jan 7 | ![]() | @ | ![]() | CLB4,CHI3 | RECAP | |||||||||
Wed, Jan 11 | ![]() | @ | ![]() | BUF1,CLB3 | RECAP | |||||||||
Fri, Jan 13 | ![]() | @ | ![]() | CLB3,NYI2 | RECAP | |||||||||
Sun, Jan 15 | ![]() | @ | ![]() | CHI3,CLB2 | RECAP | |||||||||
Wed, Jan 18 | ![]() | @ | ![]() | CLB2,OTT4 | RECAP | |||||||||
Fri, Jan 20 | ![]() | @ | ![]() | WAS5,CLB2 | RECAP | |||||||||
Sun, Jan 22 | ![]() | @ | ![]() | CAR1,CLB3 | RECAP | |||||||||
Mon, Jan 23 | ![]() | @ | ![]() | CLB2,WAS1 (OT) | RECAP | |||||||||
Wed, Jan 25 | ![]() | @ | ![]() | CLB3,TAM2 | RECAP | |||||||||
Fri, Jan 27 | ![]() | @ | ![]() | CAR4,CLB2 | RECAP | |||||||||
Sun, Jan 29 | ![]() | @ | ![]() | CLB3,DET5 | RECAP | |||||||||
Tue, Jan 31 | ![]() | @ | ![]() | NYR3,CLB1 | RECAP | |||||||||
Fri, Feb 3 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 5 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 7 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 9 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 11 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 12 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 15 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 25 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 26 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 1 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 3 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 5 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 6 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 10 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 12 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 13 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 15 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 18 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 19 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 22 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 26 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 29 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 31 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 1 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 3 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 5 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sat, Apr 8 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 9 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 12 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 14 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 16 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 17 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 19 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 21 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 23 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 26 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 28 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,575,000$ | 0$ | 67,575,000$ | 14,925,000$ |
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 | 152797 | 128246 | 88760 | 106666 | 26451 |
Attendance PCT | 93.28% | 91.34% | 91.38% | 89.19% | 92.49% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
15 | 19343 - 91.52% | 1,514,074$ | 39,365,929$ | 21136 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,575,000$ | 67,575,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
34,661,130$ | 67,575,000$ | 34,121,448$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
22,711,113$ | 87 | 362,831$ | 31,566,297$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
33,294,297$ | 67,575,000$ | 132,865,133$ | 122,281,949$ |
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 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() ![]() | ![]() ![]() ![]() ![]() ![]() | ![]() | ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 | ||
Alexander Melnichuk | ![]() | 2020 | 73 | ||
Alexander Pashin | ![]() | 2020 | 124 | ||
Anton Johannesson | ![]() | 2020 | 121 | ||
Antti Tuomisto | ![]() | 2019 | 48 | ||
Blake McLaughlin | ![]() | 2018 | 74 | ||
Blake Murray | ![]() | 2019 | 198 | ||
Brent Johnson | ![]() | 2021 | 74 | ||
Bryce Mcconnell-Barker | ![]() | 2022 | 84 | ||
Carter Savoie | ![]() | 2020 | 100 | ||
Connor Lockhart | ![]() | 2021 | 198 | ||
Denis Smirnov | ![]() | 2017 | 185 | ||
Dylan Guenther | ![]() | 2021 | 8 | ||
Eric Florchuk | ![]() | 2018 | 204 | ||
Erik Portillo | ![]() | 2019 | 57 | ||
Jack Achan | ![]() | 2020 | 118 | ||
Jackson Kunz | ![]() | 2020 | 158 | ||
Jake Karabela | ![]() | 2022 | 130 | ||
Jake Pivonka | ![]() | 2018 | 98 | ||
Jeremie Poirier | ![]() | 2020 | 53 | ||
Jesper Wallstedt | ![]() | 2021 | 10 | ||
Jordan Sambrook | ![]() | 2016 | 176 | ||
Jorian Donovan | ![]() | 2022 | 125 | ||
Josh Filmon | ![]() | 2022 | 148 | ||
Kirill Slepets | ![]() | 2019 | 139 | ||
Landon Sim | ![]() | 2022 | 215 | ||
Matt Bodie | ![]() | 2014 | 123 | ||
Matthew Knies | ![]() | 2021 | 58 | ||
Matvey Petrov | ![]() | 2021 | 180 | ||
Michael Callow | ![]() | 2022 | 178 | ||
Mike Koster | ![]() | 2019 | 192 | ||
Milos Roman | ![]() | 2018 | 120 | ||
Mitchell Hoelscher | ![]() | 2018 | 173 | ||
Mitchell Mattson | ![]() | 2016 | 156 | ||
Olivier Suni | ![]() | 2020 | 182 | ||
Oscar Plandowski | ![]() | 2021 | 151 | ||
Owen Lindmark | ![]() | 2019 | 183 | ||
Pavel Novak | ![]() | 2020 | 160 | ||
Rieger Lorenz | ![]() | 2022 | 65 | ||
Rodion Amirov | ![]() | 2020 | 25 | ||
Ryan Francis | ![]() | 2020 | 137 | ||
Ryan Ufko | ![]() | 2021 | 113 | ||
Ryder Rolston | ![]() | 2020 | 138 | ||
Simon Forsmark | ![]() | 2022 | 87 | ||
Simon Robertsson | ![]() | 2021 | 50 | ||
Slava Demin | ![]() | 2018 | 118 | ||
Spencer Stastney | ![]() | 2018 | 131 | ||
Steven Ruggiero | ![]() | 2015 | 183 | ||
Tomas Hamara | ![]() | 2022 | 81 | ||
Topi Niemela | ![]() | 2020 | 67 | ||
Tristan Lennox | ![]() | 2021 | 81 | ||
Veeti Miettinen | ![]() | 2020 | 144 | ||
Xavier Bouchard | ![]() | 2018 | 142 | ||
Zion Nybeck | ![]() | 2020 | 104 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() ![]() | ![]() ![]() ![]() ![]() ![]() | ![]() | ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 | ||
Alexander Melnichuk | ![]() | 2020 | 73 | ||
Alexander Pashin | ![]() | 2020 | 124 | ||
Anton Johannesson | ![]() | 2020 | 121 | ||
Antti Tuomisto | ![]() | 2019 | 48 | ||
Blake McLaughlin | ![]() | 2018 | 74 | ||
Blake Murray | ![]() | 2019 | 198 | ||
Brent Johnson | ![]() | 2021 | 74 | ||
Bryce Mcconnell-Barker | ![]() | 2022 | 84 | ||
Carter Savoie | ![]() | 2020 | 100 | ||
Connor Lockhart | ![]() | 2021 | 198 | ||
Denis Smirnov | ![]() | 2017 | 185 | ||
Dylan Guenther | ![]() | 2021 | 8 | ||
Eric Florchuk | ![]() | 2018 | 204 | ||
Erik Portillo | ![]() | 2019 | 57 | ||
Jack Achan | ![]() | 2020 | 118 | ||
Jackson Kunz | ![]() | 2020 | 158 | ||
Jake Karabela | ![]() | 2022 | 130 | ||
Jake Pivonka | ![]() | 2018 | 98 | ||
Jeremie Poirier | ![]() | 2020 | 53 | ||
Jesper Wallstedt | ![]() | 2021 | 10 | ||
Jordan Sambrook | ![]() | 2016 | 176 | ||
Jorian Donovan | ![]() | 2022 | 125 | ||
Josh Filmon | ![]() | 2022 | 148 | ||
Kirill Slepets | ![]() | 2019 | 139 | ||
Landon Sim | ![]() | 2022 | 215 | ||
Matt Bodie | ![]() | 2014 | 123 | ||
Matthew Knies | ![]() | 2021 | 58 | ||
Matvey Petrov | ![]() | 2021 | 180 | ||
Michael Callow | ![]() | 2022 | 178 | ||
Mike Koster | ![]() | 2019 | 192 | ||
Milos Roman | ![]() | 2018 | 120 | ||
Mitchell Hoelscher | ![]() | 2018 | 173 | ||
Mitchell Mattson | ![]() | 2016 | 156 | ||
Olivier Suni | ![]() | 2020 | 182 | ||
Oscar Plandowski | ![]() | 2021 | 151 | ||
Owen Lindmark | ![]() | 2019 | 183 | ||
Pavel Novak | ![]() | 2020 | 160 | ||
Rieger Lorenz | ![]() | 2022 | 65 | ||
Rodion Amirov | ![]() | 2020 | 25 | ||
Ryan Francis | ![]() | 2020 | 137 | ||
Ryan Ufko | ![]() | 2021 | 113 | ||
Ryder Rolston | ![]() | 2020 | 138 | ||
Simon Forsmark | ![]() | 2022 | 87 | ||
Simon Robertsson | ![]() | 2021 | 50 | ||
Slava Demin | ![]() | 2018 | 118 | ||
Spencer Stastney | ![]() | 2018 | 131 | ||
Steven Ruggiero | ![]() | 2015 | 183 | ||
Tomas Hamara | ![]() | 2022 | 81 | ||
Topi Niemela | ![]() | 2020 | 67 | ||
Tristan Lennox | ![]() | 2021 | 81 | ||
Veeti Miettinen | ![]() | 2020 | 144 | ||
Xavier Bouchard | ![]() | 2018 | 142 | ||
Zion Nybeck | ![]() | 2020 | 104 |
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