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Full Scoreboard »» |
Columbus Blue Jackets 37-22-10, 84pts · 8th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 9 | C | 98.00 | 65 | 33 | 99 | 87 | 82 | 85 | 85 | 83 | 79 | 85 | 87 | 77 | 85 | 70 | 70 | 0 | 64 | 92 | 26 | 10,000,000$/4yrs | |||
![]() | 88 | LW/RW | 98.00 | 57 | 33 | 90 | 90 | 79 | 85 | 90 | 85 | 60 | 83 | 91 | 66 | 88 | 70 | 69 | 0 | 68 | 92 | 26 | 6,962,366$/2yrs | |||
![]() | 38 | C/LW | 100.00 | 77 | 33 | 86 | 80 | 81 | 89 | 84 | 79 | 93 | 77 | 82 | 87 | 81 | 76 | 90 | 0 | 65 | 91 | 29 | 3,750,000$/4yrs | |||
![]() | 0 | C/RW | 98.00 | 64 | 35 | 93 | 82 | 77 | 86 | 90 | 81 | 75 | 83 | 83 | 70 | 82 | 71 | 71 | 0 | 55 | 89 | 27 | 7,000,000$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 36 | 84 | 76 | 74 | 88 | 90 | 77 | 90 | 81 | 74 | 90 | 75 | 73 | 71 | 0 | 70 | 87 | 27 | 3,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 35 | 83 | 76 | 77 | 82 | 90 | 75 | 72 | 78 | 77 | 74 | 76 | 71 | 69 | 0 | 65 | 85 | 27 | 2,300,000$/1yrs | |||
![]() | 96 | C/RW | 100.00 | 62 | 33 | 93 | 76 | 79 | 82 | 90 | 72 | 81 | 81 | 66 | 81 | 69 | 69 | 69 | 0 | 69 | 84 | 26 | 4,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 33 | 93 | 73 | 77 | 85 | 88 | 75 | 60 | 74 | 79 | 68 | 77 | 75 | 75 | 0 | 54 | 84 | 29 | 5,350,000$/6yrs | |||
![]() | 50 | LW/RW | 100.00 | 76 | 33 | 91 | 70 | 81 | 78 | 86 | 70 | 58 | 72 | 68 | 80 | 69 | 72 | 71 | 0 | 61 | 82 | 27 | 1,600,000$/2yrs | |||
![]() | 18 | LW | 100.00 | 64 | 32 | 93 | 72 | 70 | 83 | 88 | 69 | 59 | 74 | 72 | 64 | 71 | 68 | 67 | 0 | 53 | 80 | 25 | 3,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 85 | 33 | 94 | 59 | 79 | 77 | 90 | 66 | 72 | 66 | 66 | 79 | 66 | 86 | 86 | 0 | 41 | 80 | 36 | 850,000$/2yrs | |||
![]() | 17 | C/LW/RW | 100.00 | 75 | 36 | 88 | 60 | 76 | 76 | 82 | 63 | 76 | 63 | 63 | 83 | 63 | 75 | 74 | 0 | 57 | 78 | 29 | 1,250,000$/2yrs | |||
![]() | 7 | D | 98.00 | 67 | 33 | 90 | 83 | 76 | 98 | 86 | 81 | 30 | 86 | 71 | 91 | 76 | 75 | 74 | 0 | 62 | 93 | 29 | 4,450,000$/3yrs | |||
![]() | 0 | D | 98.00 | 65 | 33 | 88 | 79 | 79 | 95 | 90 | 79 | 30 | 84 | 70 | 89 | 74 | 70 | 69 | 0 | 61 | 91 | 26 | 4,450,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 33 | 87 | 68 | 80 | 89 | 90 | 75 | 30 | 78 | 58 | 90 | 66 | 80 | 79 | 0 | 41 | 88 | 32 | 2,500,000$/1yrs | |||
![]() | 62 | D | 100.00 | 66 | 32 | 77 | 77 | 70 | 94 | 90 | 76 | 30 | 81 | 64 | 89 | 70 | 63 | 61 | 0 | 63 | 88 | 22 | 886,667$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 32 | 80 | 70 | 66 | 85 | 68 | 71 | 30 | 71 | 76 | 84 | 73 | 67 | 65 | 0 | 36 | 85 | 24 | 950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 90 | 49 | 67 | 64 | 89 | 87 | 90 | 69 | 30 | 71 | 58 | 84 | 63 | 79 | 76 | 0 | 62 | 84 | 32 | 3,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 53 | C | 89.24 | 64 | 33 | 91 | 87 | 82 | 89 | 90 | 87 | 96 | 77 | 97 | 85 | 92 | 73 | 85 | 0 | 53 | 94 | 27 | 5,500,000$/9yrs | |||
![]() | 0 | D | 100.00 | 78 | 49 | 71 | 61 | 91 | 88 | 89 | 69 | 30 | 71 | 59 | 86 | 64 | 77 | 75 | 0 | 51 | 83 | 31 | 1,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 33 | 80 | 62 | 76 | 85 | 86 | 67 | 30 | 70 | 66 | 80 | 66 | 65 | 63 | 0 | 26 | 81 | 23 | 2,000,000$/2yrs | |||
TEAM AVERAGE | 99.00 | 72 | 35 | 87 | 74 | 78 | 86 | 87 | 75 | 58 | 76 | 73 | 81 | 74 | 73 | 73 | 0 | 56 | 86 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 90 | 92 | 80 | 81 | 90 | 84 | 91 | 92 | 87 | 95 | 91 | 85 | 90 | 0 | 35 | 92 | 35 | 3,666,667$/1yrs |
![]() | 41 | 95.00 | 89 | 95 | 82 | 76 | 92 | 86 | 92 | 93 | 88 | 96 | 92 | 71 | 76 | 0 | 63 | 91 | 27 | 3,400,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 90 | 94 | 81 | 79 | 91 | 85 | 92 | 93 | 88 | 96 | 92 | 78 | 83 | 0 | 49 | 92 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St-Louis | 57 | 67 | 72 | 68 | 69 | 64 | 79 | CAN | 47 | 2 | 1,000,000$ |
General Manager | Étienne Bourget |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | William Nylander | 88 | LW/RW | 69 | 29 | 30 | 59 | 23 | 16 | 0 | 52 | 261 | 71 | 182 | 11.11% | 5 | 20.23 | 4 | 10 | 14 | 240 | 0 | 0 | 0 | 0 | 2 | 0 | 37.36% | 91 | 0 | 0 | 2 | 0 | 0.85 | 0 | 12 | |
2 | Jack Eichel | 9 | C | 69 | 18 | 40 | 58 | 19 | 20 | 0 | 90 | 211 | 65 | 195 | 8.53% | 9 | 20.53 | 5 | 10 | 15 | 238 | 0 | 0 | 0 | 23 | 6 | 0 | 49.08% | 1803 | 0 | 0 | 0 | 0 | 0.82 | 1 | 11 | |
3 | Devon Toews | 7 | D | 69 | 11 | 41 | 52 | -2 | 34 | 0 | 86 | 113 | 47 | 90 | 9.73% | 91 | 24.70 | 2 | 10 | 12 | 212 | 0 | 1 | 1 | 170 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 1 | 4 | |
4 | Bo Horvat | 53 | C | 69 | 23 | 26 | 49 | 4 | 16 | 0 | 60 | 227 | 66 | 155 | 10.13% | 11 | 19.64 | 7 | 10 | 17 | 205 | 0 | 0 | 0 | 148 | 6 | 1 | 56.86% | 1699 | 0 | 0 | 0 | 1 | 0.72 | 3 | 12 | |
5 | Sam Reinhart | 0 | C/RW | 67 | 19 | 21 | 40 | 5 | 22 | 0 | 52 | 204 | 54 | 118 | 9.31% | 9 | 19.85 | 1 | 5 | 6 | 205 | 0 | 0 | 0 | 65 | 4 | 1 | 50.86% | 232 | 0 | 0 | 0 | 0 | 0.60 | 0 | 2 | |
6 | Janis Moser | 62 | D | 69 | 6 | 32 | 38 | 13 | 14 | 0 | 51 | 82 | 28 | 57 | 7.32% | 59 | 18.85 | 3 | 5 | 8 | 153 | 0 | 1 | 1 | 104 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
7 | Boone Jenner | 38 | C/LW | 69 | 17 | 16 | 33 | -5 | 22 | 0 | 153 | 193 | 60 | 138 | 8.81% | 10 | 19.26 | 1 | 8 | 9 | 220 | 0 | 0 | 0 | 180 | 2 | 1 | 50.74% | 475 | 0 | 0 | 0 | 0 | 0.50 | 1 | 8 | |
8 | Jack Roslovic | 96 | C/RW | 69 | 12 | 20 | 32 | 7 | 14 | 0 | 43 | 119 | 38 | 88 | 10.08% | 2 | 14.57 | 1 | 4 | 5 | 126 | 0 | 0 | 0 | 0 | 1 | 1 | 54.12% | 85 | 0 | 0 | 0 | 0 | 0.64 | 0 | 3 | |
9 | Rasmus Andersson | 0 | D | 69 | 9 | 22 | 31 | -5 | 32 | 0 | 74 | 97 | 34 | 62 | 9.28% | 81 | 23.22 | 7 | 7 | 14 | 246 | 0 | 0 | 0 | 91 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 1 | 2 | |
10 | Ivan Barbashev | 0 | C/LW/RW | 68 | 13 | 17 | 30 | 7 | 35 | 5 | 133 | 134 | 35 | 82 | 9.70% | 6 | 13.41 | 2 | 1 | 3 | 86 | 0 | 0 | 0 | 14 | 2 | 1 | 39.58% | 96 | 0 | 0 | 0 | 0 | 0.66 | 1 | 3 | |
11 | Nick Jensen | 0 | D | 66 | 5 | 20 | 25 | -14 | 38 | 0 | 83 | 60 | 18 | 47 | 8.33% | 86 | 21.35 | 2 | 5 | 7 | 146 | 0 | 1 | 1 | 170 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
12 | Brenden Dillon | 0 | D | 68 | 3 | 19 | 22 | 14 | 108 | 20 | 170 | 41 | 11 | 30 | 7.32% | 61 | 18.45 | 2 | 2 | 4 | 114 | 0 | 0 | 0 | 139 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
13 | J.T. Compher | 0 | C/RW | 69 | 9 | 13 | 22 | 9 | 15 | 5 | 31 | 127 | 37 | 85 | 7.09% | 12 | 12.31 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 132 | 1 | 0 | 53.20% | 844 | 0 | 0 | 1 | 0 | 0.52 | 1 | 2 | |
14 | Rickard Rakell | 0 | C/LW/RW | 69 | 9 | 8 | 17 | -2 | 26 | 0 | 68 | 122 | 32 | 82 | 7.38% | 6 | 16.66 | 2 | 2 | 4 | 195 | 0 | 0 | 0 | 71 | 1 | 0 | 43.42% | 76 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
15 | Anthony Beauvillier | 18 | LW | 65 | 3 | 8 | 11 | 6 | 6 | 0 | 25 | 38 | 7 | 39 | 7.89% | 3 | 11.44 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 12 | 0 | 1 | 40.51% | 79 | 0 | 0 | 0 | 0 | 0.30 | 0 | 1 | |
16 | Eric Robinson | 50 | LW/RW | 69 | 6 | 4 | 10 | -4 | 10 | 0 | 26 | 55 | 20 | 41 | 10.91% | 5 | 8.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 1 | 0 | 46.88% | 32 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
17 | Trevor Lewis | 0 | RW | 49 | 4 | 4 | 8 | 2 | 10 | 0 | 21 | 32 | 11 | 17 | 12.50% | 3 | 8.56 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 36 | 0 | 1 | 54.55% | 55 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
18 | Erik Gudbranson | 0 | D | 41 | 2 | 5 | 7 | 1 | 54 | 10 | 72 | 18 | 2 | 16 | 11.11% | 53 | 18.49 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 108 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
19 | Nick Blankenburg | 0 | D | 26 | 2 | 5 | 7 | 3 | 20 | 0 | 32 | 18 | 6 | 25 | 11.11% | 19 | 18.50 | 0 | 0 | 0 | 86 | 0 | 0 | 0 | 9 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
20 | Timothy Liljegren | 0 | D | 35 | 0 | 6 | 6 | 6 | 10 | 0 | 23 | 18 | 4 | 7 | 0.00% | 16 | 13.96 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
21 | Kevin Rooney | 17 | C/LW/RW | 25 | 2 | 2 | 4 | -6 | 12 | 10 | 18 | 22 | 12 | 10 | 9.09% | 1 | 8.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 1 | 0 | 46.45% | 155 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
Team Total or Average | 1269 | 202 | 359 | 561 | 81 | 534 | 50 | 1363 | 2192 | 658 | 1566 | 9.22% | 548 | 17.10 | 39 | 79 | 118 | 2541 | 1 | 3 | 4 | 1581 | 34 | 13 | 51.71% | 5722 | 0 | 0 | 3 | 1 | 0.52 | 9 | 60 |
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 | Cam Talbot | 37 | 19 | 11 | 2 | 0.908 | 2.74 | 1904 | 2 | 1 | 87 | 942 | 0 | 2 | 0 | 0.769 | 13 | 31 | 35 | 3 | 1 | 1 | |
2 | Vitek Vanecek | 34 | 19 | 12 | 3 | 0.915 | 2.30 | 2057 | 2 | 6 | 79 | 926 | 0 | 0 | 0 | 0.773 | 22 | 34 | 33 | 6 | 0 | 1 | |
Team Total or Average | 71 | 38 | 23 | 5 | 0.911 | 2.52 | 3961 | 4 | 7 | 166 | 1868 | 0 | 2 | 0 | 0.771 | 35 | 65 | 68 | 9 | 1 | 2 |
Projected Total Cap Hit | 79,329,161$ |
Projected Cap Space | 3,170,839$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 68,836,448$ |
Players In Salary Cap | 21 |
LTIR Players | 2 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Beauvillier | LW | 25 | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||||
Bo Horvat ![]() | C | 27 | 5,500,000$ | 5,500,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ |
Boone Jenner | C/LW | 29 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Brenden Dillon | D | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Cam Talbot ![]() | G | 35 | 3,666,667$ | 3,666,667$ | UFA | ||||||
Devon Toews | D | 29 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | UFA | ||||
Eric Robinson | LW/RW | 27 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Erik Gudbranson ![]() | D | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Ivan Barbashev | C/LW/RW | 27 | 2,300,000$ | 2,300,000$ | |||||||
J.T. Compher | C/RW | 27 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Jack Eichel | C | 26 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||
Jack Roslovic | C/RW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Janis Moser ![]() | D | 22 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Kevin Rooney ![]() | C/LW/RW | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Nick Blankenburg ![]() | D | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Nick Jensen | D | 32 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Rasmus Andersson | D | 26 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | UFA | ||||
Rickard Rakell | C/LW/RW | 29 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | |
Sam Reinhart | C/RW | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Timothy Liljegren | D | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Trevor Lewis ![]() | RW | 36 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Vitek Vanecek ![]() | G | 27 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
William Nylander | LW/RW | 26 | 6,962,366$ | 6,962,366$ | 6,962,366$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman ![]() | LW | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Anders Bjork ![]() ![]() | LW/RW | 26 | 950,000$ | 950,000$ | ![]() | ||||||
Brayden Pachal ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Calle Rosen ![]() | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Chase Pearson ![]() | C | 25 | 917,831$ | 917,831$ | ![]() | ||||||
Cole Coskey ![]() | RW | 23 | 0$ | RFA | |||||||
Colten Ellis ![]() | G | 22 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Daniel Torgersson ![]() | LW/RW | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Dennis Gilbert ![]() ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Dmitri Samorukov ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Gianni Fairbrother ![]() | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Jack Studnicka ![]() | C/RW | 24 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Jon Gillies ![]() ![]() | G | 29 | 900,000$ | 900,000$ | UFA | ||||||
Kent Johnson ![]() | C/LW | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Kevin Stenlund ![]() | C/RW | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Lawrence Pilut ![]() | D | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Liam Foudy ![]() | C | 23 | 762,500$ | 762,500$ | 762,500$ | RFA | |||||
Logan Brown ![]() | C | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Louis Crevier ![]() | D | 21 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Louis Domingue ![]() ![]() | G | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
MacKenzie Entwistle ![]() | C | 23 | 850,000$ | 850,000$ | RFA | ||||||
Madison Bowey ![]() | D | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Magnus Hellberg ![]() | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
Matej Pekar ![]() | LW | 23 | 764,000$ | 764,000$ | RFA | ||||||
Mathieu Olivier ![]() | RW | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Reece Newkirk ![]() | C | 22 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Shane Bowers ![]() | RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Taro Hirose ![]() | LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Trevor Carrick ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Tyler Tullio ![]() | RW | 20 | 823,333$ | 823,333$ | 823,333$ | 823,333$ | RFA | ||||
Ville Koivunen ![]() | RW | 19 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Vincent Desharnais ![]() ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
William Dufour ![]() | RW | 21 | 858,167$ | 859,167$ | 856,167$ | 859,167$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 4 | 1.000 | 4 | 8 | 12 | 0 | 2 | 1 | 1 | 2 | 0 | 46 | 17 | 13 | 16 | 0 | 53 | 18 | 16 | 29 | 7 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 45 | 30 | 48 | 16 | 25 | 11 | 100.0% | 8.7% | 100.0% | 108.7 | DULL | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 15 | 24 | 1 | 0 | 0 | 2 | 7 | 0 | 68 | 9 | 25 | 34 | 0 | 93 | 29 | 19 | 57 | 11 | 2 | 18.18% | 7 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 70 | 46 | 68 | 22 | 41 | 20 | 43.8% | 13.2% | 90.3% | 103.6 | FUN | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 4 | 2 | 0 | 60 | 17 | 30 | 13 | 0 | 52 | 9 | 10 | 47 | 9 | 2 | 22.22% | 4 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 52 | 37 | 44 | 14 | 23 | 12 | 75.0% | 13.3% | 96.2% | 109.5 | LUCKY | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 37 | 8 | 14 | 15 | 0 | 62 | 14 | 18 | 48 | 3 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 41 | 25 | 50 | 15 | 27 | 14 | 28.6% | 5.4% | 90.3% | 95.7 | Unlucky | |
5 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 9 | 12 | -3 | 3 | 0.500 | 9 | 17 | 26 | 0 | 0 | 1 | 4 | 4 | 2 | 76 | 24 | 20 | 24 | 24 | 117 | 25 | 26 | 56 | 9 | 3 | 33.33% | 13 | 3 | 76.92% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 70 | 47 | 80 | 22 | 39 | 18 | 40.0% | 11.8% | 89.7% | 101.6 | FUN | |
6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 21 | 33 | 0 | 0 | 5 | 4 | 3 | 0 | 82 | 26 | 30 | 26 | 0 | 78 | 30 | 22 | 49 | 14 | 5 | 35.71% | 11 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 74 | 51 | 66 | 22 | 39 | 20 | 46.7% | 14.6% | 89.7% | 104.4 | FUN | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 49 | 19 | 15 | 15 | 0 | 41 | 13 | 14 | 56 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 54 | 39 | 39 | 13 | 25 | 13 | 33.3% | 6.1% | 85.4% | 91.5 | Unlucky | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 18 | 27 | 0 | 1 | 4 | 1 | 4 | 0 | 55 | 18 | 13 | 24 | 0 | 43 | 9 | 16 | 40 | 7 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 55 | 38 | 38 | 14 | 26 | 13 | 100.0% | 16.4% | 95.3% | 111.7 | LUCKY | |
9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 89 | 22 | 33 | 34 | 0 | 73 | 15 | 24 | 64 | 15 | 3 | 20.00% | 9 | 3 | 66.67% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 73 | 49 | 66 | 23 | 39 | 20 | 33.3% | 6.7% | 87.7% | 94.4 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 3 | 2 | 2 | 2 | 65 | 29 | 14 | 19 | 6 | 52 | 17 | 22 | 33 | 8 | 1 | 12.50% | 11 | 0 | 100.00% | 1 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 50 | 35 | 47 | 15 | 26 | 13 | 58.3% | 12.3% | 90.4% | 102.7 | FUN | |
11 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 1 | 1 | 5 | 0 | 89 | 28 | 27 | 34 | 0 | 86 | 15 | 28 | 50 | 10 | 1 | 10.00% | 13 | 5 | 61.54% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 74 | 52 | 67 | 22 | 37 | 19 | 54.5% | 7.9% | 88.4% | 96.2 | Unlucky | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 70 | 20 | 22 | 28 | 0 | 49 | 11 | 17 | 37 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 52 | 37 | 43 | 14 | 24 | 13 | 70.0% | 12.9% | 91.8% | 104.7 | LUCKY | |
13 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 3 | 68 | 16 | 21 | 25 | 14 | 53 | 15 | 6 | 51 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 53 | 39 | 46 | 14 | 25 | 13 | 33.3% | 4.4% | 92.5% | 96.9 | DULL | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 66 | 21 | 21 | 24 | 0 | 55 | 23 | 10 | 40 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 49 | 34 | 42 | 13 | 27 | 14 | 42.9% | 6.1% | 90.9% | 97.0 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 1 | 3 | 1 | 0 | 57 | 13 | 28 | 16 | 0 | 50 | 21 | 19 | 37 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 47 | 31 | 46 | 14 | 26 | 12 | 60.0% | 8.8% | 94.0% | 102.8 | DULL | |
16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 22 | 34 | 1 | 0 | 4 | 2 | 6 | 0 | 96 | 30 | 30 | 36 | 0 | 75 | 21 | 28 | 54 | 15 | 4 | 26.67% | 13 | 3 | 76.92% | 1 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 71 | 48 | 69 | 22 | 38 | 19 | 53.3% | 12.5% | 86.7% | 99.2 | FUN | |
17 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 8 | -6 | 1 | 0.250 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 1 | 67 | 25 | 19 | 21 | 9 | 62 | 18 | 18 | 32 | 7 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 53 | 39 | 48 | 14 | 23 | 11 | 28.6% | 3.0% | 87.1% | 90.1 | Unlucky | |
18 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 55 | 18 | 20 | 14 | 3 | 60 | 16 | 35 | 41 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 50 | 34 | 46 | 13 | 25 | 12 | 42.9% | 7.3% | 90.0% | 97.3 | Unlucky | |
19 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | -3 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 57 | 17 | 18 | 19 | 5 | 58 | 9 | 13 | 41 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 51 | 36 | 48 | 14 | 25 | 12 | 20.0% | 1.8% | 93.1% | 94.9 | DULL | |
20 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 50 | 12 | 19 | 18 | 5 | 65 | 20 | 10 | 36 | 7 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 44 | 29 | 53 | 15 | 27 | 14 | 42.9% | 6.0% | 89.2% | 95.2 | Unlucky | |
21 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 1 | 4 | 3 | 1 | 96 | 35 | 29 | 31 | 5 | 62 | 19 | 21 | 42 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 73 | 51 | 71 | 22 | 40 | 20 | 46.7% | 8.3% | 87.1% | 95.4 | Unlucky | |
22 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 5 | 2 | 1 | 0 | 65 | 17 | 19 | 29 | 0 | 56 | 8 | 14 | 42 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 50 | 37 | 45 | 13 | 24 | 12 | 53.8% | 12.3% | 87.5% | 99.8 | FUN | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 2 | 2 | 3 | 0 | 55 | 19 | 15 | 21 | 0 | 54 | 12 | 6 | 39 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 47 | 32 | 46 | 14 | 26 | 13 | 71.4% | 12.7% | 94.4% | 107.2 | LUCKY | |
24 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 3 | 1 | 1 | 48 | 17 | 17 | 12 | 2 | 67 | 9 | 8 | 38 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 49 | 35 | 47 | 14 | 25 | 12 | 61.5% | 16.7% | 92.5% | 109.2 | LUCKY | |
25 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 6 | -4 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 56 | 16 | 20 | 19 | 4 | 54 | 15 | 8 | 38 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 48 | 34 | 49 | 16 | 26 | 13 | 14.3% | 3.6% | 88.9% | 92.5 | Unlucky | |
26 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 2 | 1 | 2 | 3 | 73 | 26 | 26 | 20 | 11 | 45 | 11 | 10 | 33 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 57 | 42 | 41 | 13 | 25 | 13 | 57.1% | 8.2% | 93.3% | 101.6 | DULL | |
27 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 1 | 4 | 2 | 1 | 66 | 16 | 20 | 26 | 8 | 57 | 21 | 6 | 39 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 50 | 36 | 49 | 15 | 25 | 13 | 46.7% | 12.1% | 86.0% | 98.1 | FUN | |
28 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 1.000 | 12 | 21 | 33 | 0 | 0 | 4 | 3 | 4 | 1 | 94 | 27 | 37 | 29 | 1 | 72 | 20 | 30 | 69 | 10 | 0 | 0.00% | 14 | 3 | 78.57% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 73 | 50 | 70 | 21 | 37 | 18 | 75.0% | 12.8% | 90.3% | 103.0 | FUN | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 83 | 32 | 27 | 24 | 0 | 27 | 9 | 6 | 45 | 18 | 3 | 16.67% | 3 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 62 | 46 | 33 | 13 | 23 | 13 | 66.7% | 8.4% | 92.6% | 101.0 | DULL | |
30 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 33 | 7 | 14 | 12 | 0 | 28 | 6 | 2 | 28 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 24 | 18 | 22 | 6 | 12 | 6 | 100.0% | 15.2% | 96.4% | 111.6 | LUCKY | |
31 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 16 | 24 | 0 | 1 | 2 | 3 | 3 | 0 | 84 | 29 | 32 | 21 | 5 | 54 | 16 | 15 | 46 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 55 | 38 | 42 | 14 | 26 | 14 | 58.3% | 9.5% | 90.7% | 100.3 | FUN | |
_Vs Division | 19 | 10 | 5 | 0 | 1 | 1 | 0 | 2 | 66 | 50 | 16 | 25 | 0.658 | 66 | 121 | 187 | 1 | 1 | 17 | 19 | 29 | 3 | 524 | 149 | 182 | 184 | 25 | 541 | 137 | 151 | 368 | 70 | 13 | 18.57% | 70 | 13 | 81.43% | 0 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 470 | 325 | 436 | 139 | 245 | 123 | 58.9% | 12.6% | 90.8% | 103.4 | FUN | |
_Vs Conference | 38 | 17 | 13 | 0 | 1 | 1 | 2 | 4 | 120 | 106 | 14 | 45 | 0.592 | 120 | 212 | 332 | 2 | 1 | 30 | 38 | 49 | 7 | 1078 | 320 | 356 | 384 | 49 | 1041 | 276 | 286 | 723 | 140 | 25 | 17.86% | 129 | 24 | 81.40% | 2 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 924 | 634 | 891 | 284 | 496 | 252 | 53.7% | 11.1% | 89.8% | 100.9 | FUN | |
_Since Last GM Reset | 69 | 30 | 22 | 0 | 3 | 2 | 4 | 8 | 199 | 175 | 24 | 84 | 0.609 | 199 | 355 | 554 | 2 | 6 | 58 | 63 | 71 | 16 | 2055 | 630 | 688 | 699 | 102 | 1853 | 494 | 497 | 1357 | 261 | 42 | 16.09% | 209 | 36 | 82.78% | 2 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 1732 | 1209 | 1584 | 506 | 891 | 456 | 53.0% | 9.7% | 90.6% | 100.2 | FUN | |
Total | 69 | 30 | 22 | 0 | 3 | 2 | 4 | 8 | 199 | 175 | 24 | 84 | 0.609 | 199 | 355 | 554 | 2 | 6 | 58 | 63 | 71 | 16 | 2055 | 630 | 688 | 699 | 102 | 1853 | 494 | 497 | 1357 | 261 | 42 | 16.09% | 209 | 36 | 82.78% | 2 | 1234 | 2392 | 51.59% | 1159 | 2213 | 52.37% | 555 | 1031 | 53.83% | 1732 | 1209 | 1584 | 506 | 891 | 456 | 53.0% | 9.7% | 90.6% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2392 |
Neutral Zone Start | 1031 |
Defensive Zone Start | 2213 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2948 |
Faceoffs Lost | 2688 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 19.1 | 20.31 |
3rd Period | 29.2 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 153 |
---|---|
PP Goal | 42 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 23 | 14 |
Lost | 10 | 12 |
Overtime Lost | 3 | 7 |
PP Attempt | 261 |
---|---|
PP Goal | 42 |
PK Attempt | 209 |
PK Goal Against | 36 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 26.9 |
Goals For | 2.9 |
Goals Against | 2.5 |
Hits | 19.7 |
Shots Blocked | 7.2 |
Pim | 7.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-12 | @ | Blue Jackets5,Hurricanes4 | RECAP | |||||||||||
2022-10-14 | @ | Lightning2,Blue Jackets4 | RECAP | |||||||||||
2022-10-15 | @ | Blue Jackets1,Blues4 | RECAP | |||||||||||
2022-10-18 | @ | Canucks2,Blue Jackets3 (SO) | RECAP | |||||||||||
2022-10-20 | @ | Predators3,Blue Jackets2 | RECAP | |||||||||||
2022-10-22 | @ | Penguins2,Blue Jackets3 | RECAP | |||||||||||
2022-10-23 | @ | Blue Jackets4,Rangers2 | RECAP | |||||||||||
2022-10-25 | @ | Coyotes2,Blue Jackets0 | RECAP | |||||||||||
2022-10-28 | @ | Bruins4,Blue Jackets1 | RECAP | |||||||||||
2022-10-30 | @ | Blue Jackets4,Devils1 | RECAP | |||||||||||
2022-11-04 | @ | Blue Jackets0,Avalanche2 | RECAP | |||||||||||
2022-11-05 | @ | Avalanche4,Blue Jackets3 | RECAP | |||||||||||
2022-11-10 | @ | Flyers3,Blue Jackets2 | RECAP | |||||||||||
2022-11-12 | @ | Blue Jackets4,Islanders5 (OT) | RECAP | |||||||||||
2022-11-15 | @ | Flyers2,Blue Jackets5 | RECAP | |||||||||||
2022-11-17 | @ | Canadiens2,Blue Jackets3 (SO) | RECAP | |||||||||||
2022-11-19 | @ | Red Wings2,Blue Jackets3 | RECAP | |||||||||||
2022-11-20 | @ | Panthers2,Blue Jackets4 | RECAP | |||||||||||
2022-11-23 | @ | Canadiens3,Blue Jackets5 | RECAP | |||||||||||
2022-11-25 | @ | Islanders2,Blue Jackets1 (SO) | RECAP | |||||||||||
2022-11-26 | @ | Blue Jackets3,Predators0 | RECAP | |||||||||||
2022-11-28 | @ | Golden Knights1,Blue Jackets5 | RECAP | |||||||||||
2022-12-02 | @ | Blue Jackets4,Jets3 (OT) | RECAP | |||||||||||
2022-12-04 | @ | Red Wings4,Blue Jackets2 | RECAP | |||||||||||
2022-12-06 | @ | Blue Jackets4,Penguins3 (OT) | RECAP | |||||||||||
2022-12-07 | @ | Sabres4,Blue Jackets3 (SO) | RECAP | |||||||||||
2022-12-09 | @ | Flames0,Blue Jackets2 | RECAP | |||||||||||
2022-12-11 | @ | Kings1,Blue Jackets2 | RECAP | |||||||||||
2022-12-13 | @ | Blue Jackets3,Panthers1 | RECAP | |||||||||||
2022-12-15 | @ | Blue Jackets4,Lightning2 | RECAP | |||||||||||
2022-12-17 | @ | Blue Jackets2,Bruins3 (SO) | RECAP | |||||||||||
2022-12-19 | @ | Stars3,Blue Jackets4 (SO) | RECAP | |||||||||||
2022-12-20 | @ | Blue Jackets2,Flyers4 | RECAP | |||||||||||
2022-12-23 | @ | Blue Jackets3,Blackhawks4 (OT) | RECAP | |||||||||||
2022-12-27 | @ | Sabres2,Blue Jackets4 | RECAP | |||||||||||
2022-12-29 | @ | Blue Jackets4,Islanders5 (SO) | RECAP | |||||||||||
2022-12-31 | @ | Blackhawks3,Blue Jackets5 | RECAP | |||||||||||
2023-01-03 | @ | Blue Jackets1,Senators2 | RECAP | |||||||||||
2023-01-05 | @ | Capitals4,Blue Jackets3 | RECAP | |||||||||||
2023-01-07 | @ | Hurricanes2,Blue Jackets3 | RECAP | |||||||||||
2023-01-08 | @ | Blue Jackets1,Capitals2 | RECAP | |||||||||||
2023-01-10 | @ | Blue Jackets4,Lightning6 | RECAP | |||||||||||
2023-01-12 | @ | Hurricanes2,Blue Jackets4 | RECAP | |||||||||||
2023-01-14 | @ | Blue Jackets1,Red Wings3 | RECAP | |||||||||||
2023-01-16 | @ | Rangers0,Blue Jackets5 | RECAP | |||||||||||
2023-01-19 | @ | Ducks3,Blue Jackets2 (SO) | RECAP | |||||||||||
2023-01-21 | @ | Sharks1,Blue Jackets3 | RECAP | |||||||||||
2023-01-23 | @ | Blue Jackets2,Flames0 | RECAP | |||||||||||
2023-01-25 | @ | Blue Jackets2,Oilers3 (SO) | RECAP | |||||||||||
2023-01-27 | @ | Blue Jackets0,Canucks2 | RECAP | |||||||||||
2023-01-28 | @ | Blue Jackets4,Kraken5 (SO) | RECAP | |||||||||||
2023-01-31 | @ | Capitals4,Blue Jackets3 | RECAP | |||||||||||
2023-02-10 | @ | Maple Leafs4,Blue Jackets3 | RECAP | |||||||||||
2023-02-11 | @ | Blue Jackets5,Maple Leafs4 (SO) | RECAP | |||||||||||
2023-02-14 | @ | Devils1,Blue Jackets4 | RECAP | |||||||||||
2023-02-16 | @ | Jets2,Blue Jackets4 | RECAP | |||||||||||
2023-02-18 | @ | Blue Jackets2,Stars0 | RECAP | |||||||||||
2023-02-19 | @ | Blue Jackets1,Coyotes2 (SO) | RECAP | |||||||||||
2023-02-23 | @ | Wild2,Blue Jackets5 | RECAP | |||||||||||
2023-02-25 | @ | Oilers5,Blue Jackets0 | RECAP | |||||||||||
2023-02-26 | @ | Blue Jackets4,Wild2 | RECAP | |||||||||||
2023-02-28 | @ | Blue Jackets1,Sabres2 | RECAP | |||||||||||
2023-03-03 | @ | Kraken0,Blue Jackets4 | RECAP | |||||||||||
2023-03-04 | @ | Blue Jackets1,Senators4 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-07 | @ | Blue Jackets5,Penguins2 | RECAP | |||||||||||
2023-03-11 | @ | Blues2,Blue Jackets3 (OT) | RECAP | |||||||||||
2023-03-14 | @ | Blue Jackets4,Sharks1 | RECAP | |||||||||||
2023-03-16 | @ | Blue Jackets2,Kings4 | RECAP | |||||||||||
2023-03-17 | @ | Blue Jackets0,Ducks3 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,115,700$ | 0$ | 79,329,161$ | 5,384,300$ |
Arena | Goal Horn | About us | |
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![]() | Name | Nationwide Arena | |
City | Columbus | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 202242 | 174647 | 68408 | 136744 | 34005 |
Attendance PCT | 93.63% | 97.03% | 95.01% | 94.96% | 94.46% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 17112 - 95.07% | 1,504,059$ | 54,146,126$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,115,700$ | 77,115,700$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
70,133,622$ | 388,619$ | 68,836,448$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
7,520,295$ | 27 | 413,311$ | 11,159,397$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
11,561,977$ | 77,115,700$ | 31,479,732$ | 27,438,050$ |
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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2023 | |||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aaron Huglen | 2019 | 101 | |||
Alex Bump | 2022 | 153 | |||
Alex Cotton | 2020 | 58 | |||
Alexis Gravel | 6.5 - 6.5 | ||||
Atte Tolvanen | |||||
Brennan Ali | 2022 | 207 | |||
Brock Gould | 2020 | 199 | |||
Charlie Desroches | 2020 | 156 | |||
Chris Martenet | |||||
Croix Evingtson | |||||
Dans Locmelis | 2022 | 131 | |||
Dmitri Buchelnikov | 2022 | 67 | |||
Dominic Basse | 2019 | 178 | |||
Drew Commesso | 2020 | 70 | |||
Eemeli Rasanen | 3.0 - 3.0 | ||||
Fabian Wagner | 2022 | 158 | |||
Garrett Brown | 2022 | 111 | |||
Gunnarwolfe Fontaine | 2020 | 178 | |||
Jack Devine | 2022 | 163 | |||
Jacob Dion | 2020 | 133 | |||
Jacob Holmes | 2021 | 157 | |||
Jaroslav Chmelar | 2021 | 180 | |||
Kienan Draper | |||||
Kirill Kudryavtsev | 2022 | 195 | |||
Luke Devlin | 2022 | 191 | |||
Mike Koster | 2019 | 139 | |||
Nicholas Capone | |||||
Robert Orr | 2021 | 130 | |||
Ryan Francis | 2020 | 124 | |||
Ryan Greene | 2022 | 91 | |||
Ryan Healey | 2022 | 124 | |||
Ryder Korczak | 2021 | 58 | |||
Sandis Vilmanis | 2022 | 169 | |||
Sasha Mutala | 2019 | 146 | |||
Sean Tschigerl | 2021 | 142 | |||
Tomas Hamara | 2022 | 94 | |||
Tristan Lennox | 2021 | 78 | |||
Ty Young | 2022 | 155 | |||
Viljami Marjala | 2021 | 156 |
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