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| Columbus Blue Jackets 23-7-1, 47pts · 1st 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mikko Rantanen | 0 | C/LW/RW | 100.00 | 66 | 34 | 64 | 88 | 87 | 90 | 90 | 83 | 60 | 84 | 85 | 58 | 84 | 74 | 71 | 0 | 68 | 90 | 29 | 9,500,000$/2yrs | |||
Sam Reinhart | 13 | C/RW | 100.00 | 69 | 36 | 87 | 81 | 77 | 90 | 90 | 81 | 75 | 76 | 91 | 77 | 86 | 75 | 74 | 0 | 72 | 90 | 30 | 7,000,000$/2yrs | |||
Jack Eichel | 9 | C | 100.00 | 58 | 33 | 99 | 82 | 82 | 90 | 90 | 76 | 86 | 86 | 80 | 73 | 78 | 75 | 75 | 0 | 71 | 89 | 29 | 10,000,000$/9yrs | |||
Jesper Bratt | 0 | LW/RW | 100.00 | 70 | 32 | 92 | 82 | 67 | 86 | 90 | 77 | 55 | 89 | 72 | 68 | 74 | 70 | 70 | 0 | 71 | 87 | 27 | 7,875,000$/6yrs | |||
Boone Jenner (C) | 38 | C/LW | 100.00 | 79 | 33 | 86 | 71 | 81 | 88 | 78 | 71 | 88 | 68 | 77 | 83 | 74 | 79 | 88 | 0 | 71 | 84 | 32 | 3,750,000$/1yrs | |||
Morgan Geekie | 0 | C/RW | 100.00 | 75 | 33 | 88 | 78 | 81 | 84 | 90 | 75 | 62 | 63 | 89 | 58 | 82 | 71 | 70 | 0 | 71 | 84 | 27 | 3,000,000$/4yrs | |||
Kent Johnson | 91 | C/LW/RW | 100.00 | 52 | 32 | 91 | 79 | 69 | 83 | 86 | 72 | 55 | 76 | 77 | 59 | 75 | 63 | 62 | 0 | 71 | 82 | 23 | 1,800,000$/2yrs | |||
Sam Bennett | 0 | C/LW/RW | 100.00 | 81 | 43 | 56 | 72 | 77 | 84 | 88 | 70 | 82 | 69 | 75 | 67 | 73 | 74 | 69 | 0 | 71 | 81 | 29 | 4,425,000$/9yrs | |||
Dmitri Voronkov | 0 | LW | 100.00 | 68 | 38 | 74 | 74 | 97 | 83 | 88 | 68 | 60 | 70 | 75 | 60 | 72 | 66 | 64 | 0 | 71 | 80 | 25 | 4,175,000$/2yrs | |||
Ryan McLeod | 0 | C/LW/RW | 100.00 | 61 | 33 | 94 | 68 | 82 | 82 | 90 | 64 | 84 | 69 | 68 | 72 | 66 | 68 | 67 | 0 | 71 | 78 | 26 | 5,000,000$/4yrs | |||
Lars Eller | 0 | C | 100.00 | 64 | 33 | 85 | 58 | 81 | 80 | 90 | 61 | 83 | 62 | 65 | 72 | 63 | 86 | 84 | 0 | 71 | 75 | 36 | 1,500,000$/1yrs | |||
Parker Kelly | 0 | C/LW | 100.00 | 80 | 34 | 87 | 57 | 74 | 76 | 90 | 58 | 73 | 60 | 61 | 80 | 59 | 68 | 67 | 0 | 71 | 74 | 26 | 800,000$/5yrs | |||
Brady Skjei | 0 | D | 100.00 | 65 | 33 | 82 | 66 | 84 | 92 | 90 | 64 | 30 | 71 | 65 | 74 | 65 | 78 | 76 | 0 | 71 | 81 | 31 | 5,500,000$/3yrs | |||
Rasmus Andersson | 4 | D | 99.00 | 61 | 34 | 77 | 65 | 79 | 96 | 90 | 65 | 30 | 69 | 64 | 80 | 64 | 73 | 71 | 0 | 71 | 80 | 29 | 5,750,000$/6yrs | |||
Vladislav Gavrikov | 0 | D | 100.00 | 63 | 34 | 88 | 65 | 88 | 93 | 90 | 65 | 30 | 68 | 58 | 81 | 62 | 75 | 73 | 0 | 71 | 80 | 30 | 4,500,000$/1yrs | |||
K'Andre Miller | 0 | D | 98.00 | 76 | 35 | 84 | 65 | 88 | 92 | 89 | 64 | 30 | 67 | 61 | 80 | 63 | 67 | 66 | 0 | 71 | 80 | 25 | 4,500,000$/9yrs | |||
Erik Cernak | 0 | D | 100.00 | 81 | 51 | 62 | 55 | 90 | 86 | 90 | 59 | 30 | 57 | 50 | 84 | 55 | 73 | 69 | 0 | 63 | 74 | 28 | 4,750,000$/3yrs | |||
Jack St. Ivany | 0 | D | 100.00 | 79 | 46 | 69 | 55 | 80 | 82 | 71 | 55 | 30 | 55 | 50 | 80 | 53 | 68 | 65 | 0 | 57 | 72 | 26 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jeff Petry | 0 | D | 93.62 | 76 | 36 | 83 | 55 | 84 | 87 | 83 | 61 | 30 | 65 | 55 | 74 | 58 | 88 | 87 | 0 | 36 | 77 | 38 | 1,300,000$/2yrs | |||
| TEAM AVERAGE | 99.47 | 70 | 36 | 81 | 69 | 81 | 87 | 88 | 68 | 56 | 70 | 69 | 73 | 69 | 73 | 72 | 0 | 68 | 81 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Vasilevskiy | 88 | 99.00 | 85 | 95 | 85 | 90 | 95 | 87 | 94 | 95 | 94 | 97 | 94 | 77 | 82 | 0 | 79 | 94 | 31 | 9,500,000$/3yrs |
Eric Comrie | 0 | 100.00 | 72 | 71 | 70 | 74 | 78 | 70 | 79 | 84 | 78 | 84 | 79 | 75 | 79 | 0 | 74 | 81 | 30 | 825,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 79 | 83 | 78 | 82 | 87 | 79 | 87 | 90 | 86 | 91 | 87 | 76 | 81 | 0 | 77 | 88 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lane Lambert | 93 | 84 | 82 | 95 | 78 | 74 | 86 | CAN | 61 | 4 | 1,000,000$ |
| General Manager | Étienne Bourget |
|---|
| 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 | Jack Eichel | 9 | C | 31 | 21 | 23 | 44 | 19 | 4 | 0 | 19 | 142 | 40 | 116 | 14.79% | 4 | 20.46 | 6 | 5 | 11 | 125 | 0 | 0 | 0 | 6 | 4 | 2 | 53.31% | 846 | 0 | 0 | 0 | 1 | 1.39 | 0 | 0 | |
| 2 | Sam Reinhart | 13 | C/RW | 31 | 16 | 19 | 35 | 6 | 17 | 5 | 29 | 170 | 47 | 131 | 9.41% | 6 | 21.09 | 6 | 6 | 12 | 117 | 0 | 0 | 0 | 124 | 2 | 0 | 47.06% | 51 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | |
| 3 | Mikko Rantanen | 0 | C/LW/RW | 31 | 14 | 14 | 28 | 19 | 31 | 5 | 56 | 133 | 29 | 106 | 10.53% | 3 | 19.78 | 4 | 3 | 7 | 124 | 0 | 0 | 0 | 0 | 4 | 0 | 41.30% | 46 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | |
| 4 | Rasmus Andersson | 4 | D | 31 | 4 | 24 | 28 | 21 | 14 | 0 | 36 | 42 | 17 | 29 | 9.52% | 49 | 25.66 | 1 | 8 | 9 | 121 | 0 | 1 | 1 | 83 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
| 5 | Kent Johnson | 91 | C/LW/RW | 31 | 10 | 15 | 25 | 12 | 2 | 0 | 8 | 93 | 30 | 54 | 10.75% | 2 | 16.72 | 4 | 5 | 9 | 117 | 0 | 0 | 0 | 0 | 1 | 0 | 44.44% | 45 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
| 6 | Boone Jenner | 38 | C/LW | 31 | 8 | 16 | 24 | 9 | 26 | 0 | 78 | 109 | 30 | 73 | 7.34% | 12 | 20.70 | 3 | 5 | 8 | 118 | 0 | 0 | 0 | 118 | 1 | 0 | 53.85% | 949 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
| 7 | Jesper Bratt | 0 | LW/RW | 31 | 5 | 19 | 24 | 4 | 8 | 0 | 21 | 78 | 27 | 72 | 6.41% | 1 | 18.25 | 2 | 7 | 9 | 125 | 0 | 0 | 0 | 8 | 1 | 0 | 50.00% | 40 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 8 | K'Andre Miller | 0 | D | 31 | 2 | 18 | 20 | 22 | 26 | 0 | 81 | 58 | 20 | 33 | 3.45% | 38 | 25.08 | 0 | 3 | 3 | 119 | 0 | 0 | 0 | 75 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 9 | Morgan Geekie | 0 | C/RW | 31 | 9 | 9 | 18 | 4 | 6 | 0 | 24 | 70 | 25 | 43 | 12.86% | 1 | 13.47 | 1 | 2 | 3 | 30 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 24 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
| 10 | Brady Skjei | 0 | D | 31 | 4 | 12 | 16 | 21 | 6 | 0 | 10 | 51 | 18 | 23 | 7.84% | 38 | 21.45 | 1 | 2 | 3 | 124 | 1 | 0 | 1 | 46 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 11 | Erik Cernak | 0 | D | 31 | 2 | 10 | 12 | 21 | 82 | 20 | 83 | 20 | 9 | 10 | 10.00% | 46 | 17.30 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 77 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 12 | Vladislav Gavrikov | 0 | D | 31 | 4 | 7 | 11 | -13 | 12 | 0 | 20 | 30 | 14 | 21 | 13.33% | 51 | 18.11 | 2 | 4 | 6 | 92 | 0 | 0 | 0 | 105 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 13 | Jeff Petry | 0 | D | 31 | 3 | 5 | 8 | -11 | 28 | 0 | 64 | 35 | 9 | 24 | 8.57% | 39 | 19.01 | 0 | 2 | 2 | 65 | 0 | 0 | 0 | 59 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 14 | Sam Bennett | 0 | C/LW/RW | 31 | 3 | 4 | 7 | -2 | 24 | 0 | 69 | 59 | 18 | 41 | 5.08% | 5 | 11.66 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 47.63% | 443 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 15 | Dmitri Voronkov | 0 | LW | 31 | 3 | 4 | 7 | 0 | 0 | 0 | 14 | 51 | 15 | 42 | 5.88% | 1 | 11.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 42.11% | 19 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 16 | Lars Eller | 0 | C | 31 | 2 | 3 | 5 | 5 | 2 | 0 | 6 | 21 | 2 | 14 | 9.52% | 1 | 7.24 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 57 | 1 | 0 | 56.85% | 241 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 17 | Parker Kelly | 0 | C/LW | 31 | 3 | 2 | 5 | 5 | 8 | 0 | 31 | 22 | 10 | 14 | 13.64% | 2 | 7.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 1 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 18 | Ryan McLeod | 0 | C/LW/RW | 31 | 2 | 2 | 4 | 4 | 0 | 0 | 0 | 30 | 9 | 28 | 6.67% | 0 | 6.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 51.43% | 35 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 19 | Jack St. Ivany | 0 | D | 2 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 0 | 0 | 0 | 0.00% | 0 | 11.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 560 | 115 | 206 | 321 | 144 | 298 | 30 | 652 | 1214 | 369 | 874 | 9.47% | 299 | 16.69 | 30 | 52 | 82 | 1290 | 1 | 2 | 3 | 842 | 24 | 5 | 52.16% | 2753 | 0 | 0 | 0 | 1 | 0.69 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | Andrei Vasilevskiy | 22 | 17 | 4 | 1 | 0.928 | 2.04 | 1322 | 0 | 2 | 45 | 623 | 0 | 1 | 0 | 0.000 | 0 | 22 | 9 | 1 | 1 | 1 | |
| 2 | Eric Comrie | 9 | 6 | 3 | 0 | 0.909 | 2.78 | 540 | 0 | 0 | 25 | 274 | 0 | 2 | 0 | 0.000 | 0 | 9 | 20 | 2 | 1 | 0 | |
| Team Total or Average | 31 | 23 | 7 | 1 | 0.922 | 2.26 | 1862 | 0 | 2 | 70 | 897 | 0 | 3 | 0 | 0.000 | 0 | 31 | 29 | 3 | 2 | 1 |
| Projected Total Cap Hit | 95,103,475$ |
| Projected Cap Space | 396,525$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 33,287,100$ |
| Players In Salary Cap | 20 |
| LTIR Players | 1 |
| Blue Jackets Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrei Vasilevskiy | G | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Boone Jenner ![]() | C/LW | 32 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Brady Skjei ![]() | D | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Dmitri Voronkov ![]() | LW | 25 | 4,175,000$ | 4,175,000$ | 4,175,000$ | ||||||
| Eric Comrie | G | 30 | 825,000$ | 825,000$ | UFA | ||||||
Erik Cernak ![]() | D | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Jack Eichel ![]() | C | 29 | 10,000,000$ | 10,000,000$ | 13,500,000$ | 13,500,000$ | 13,500,000$ | 13,500,000$ | 13,500,000$ | 13,500,000$ | 13,500,000$ |
Jack St. Ivany | D | 26 | 800,000$ | 800,000$ | |||||||
Jeff Petry | D | 38 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Jesper Bratt ![]() | LW/RW | 27 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |
K'Andre Miller ![]() | D | 25 | 4,500,000$ | 4,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ |
Kent Johnson ![]() | C/LW/RW | 23 | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | |||||
Lars Eller ![]() | C | 36 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Mikko Rantanen ![]() | C/LW/RW | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Morgan Geekie ![]() | C/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Parker Kelly | C/LW | 26 | 800,000$ | 800,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||
Rasmus Andersson ![]() | D | 29 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |
Ryan McLeod ![]() | C/LW/RW | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Sam Bennett ![]() | C/LW/RW | 29 | 4,425,000$ | 4,425,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ |
Sam Reinhart ![]() | C/RW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Vladislav Gavrikov ![]() | D | 30 | 4,500,000$ | 4,500,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Bump | LW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Alex Petrovic | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Cade Webber | D | 24 | 875,000$ | 875,000$ | RFA | ||||||
Caleb MacDonald | D | 23 | 922,500$ | 922,500$ | 922,500$ | RFA | |||||
Cole Koepke | LW/RW | 27 | 800,000$ | 800,000$ | |||||||
Colten Ellis | G | 25 | 800,000$ | 800,000$ | RFA | ||||||
Connor Dewar | LW | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Daniel Torgersson | LW/RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Dysin Mayo | D | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Emil Bemstrom | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Fabian Wagner | C | 21 | 858,333$ | 858,333$ | RFA | ||||||
Isak Posch | G | 23 | 872,500$ | 872,500$ | 872,500$ | RFA | |||||
Jack Devine | RW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Jack Williams | LW/RW | 23 | 923,750$ | 923,750$ | RFA | ||||||
Jaroslav Chmelar | RW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Kevin Gravel | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Kirill Kudryavtsev | D | 21 | 850,000$ | 850,000$ | RFA | ||||||
Liam Foudy | C | 25 | 950,000$ | 950,000$ | |||||||
Logan Brown | C | 27 | 775,000$ | 775,000$ | |||||||
Luke Glendening | C/LW/RW | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Marshall Rifai | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Milo Roelens | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
Noah Philp | C | 27 | 775,000$ | 775,000$ | |||||||
Reece Newkirk | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Ryan Francis | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Shane Bowers | RW | 26 | 775,000$ | 775,000$ | |||||||
Sheldon Dries | C | 31 | 800,000$ | 800,000$ | UFA | ||||||
Ty Young | G | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Tyler Tullio | RW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Viljami Marjala | C/LW | 22 | 872,500$ | 872,500$ | 872,500$ | 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 |
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| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 42 | 11 | 19 | 12 | 0 | 33 | 7 | 6 | 15 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 29 | 22 | 18 | 6 | 12 | 6 | 62.5% | 14.3% | 90.9% | 105.2 | FUN | |
| 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 3 | 3 | 3 | 0 | 79 | 24 | 32 | 23 | 0 | 54 | 17 | 20 | 35 | 11 | 3 | 27.27% | 10 | 2 | 80.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 48 | 33 | 45 | 15 | 25 | 13 | 75.0% | 11.4% | 92.6% | 104.0 | LUCKY | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 42 | 9 | 18 | 15 | 0 | 27 | 10 | 10 | 17 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 26 | 18 | 21 | 6 | 12 | 5 | 80.0% | 14.3% | 96.3% | 110.6 | LUCKY | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 35 | 11 | 9 | 15 | 0 | 21 | 3 | 0 | 19 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 26 | 18 | 20 | 7 | 13 | 7 | 75.0% | 8.6% | 95.2% | 103.8 | DULL | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 47 | 16 | 19 | 12 | 0 | 27 | 5 | 0 | 19 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 28 | 21 | 20 | 6 | 11 | 6 | 71.4% | 10.6% | 92.6% | 103.2 | LUCKY | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 50 | 16 | 19 | 15 | 0 | 20 | 3 | 2 | 19 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 29 | 21 | 17 | 5 | 13 | 7 | 0.0% | 2.0% | 90.0% | 92.0 | Unlucky | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 4 | 0 | 1 | 0 | 36 | 17 | 11 | 8 | 0 | 30 | 9 | 16 | 21 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 22 | 15 | 25 | 7 | 12 | 6 | 83.3% | 13.9% | 96.7% | 110.6 | LUCKY | |
| 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 4 | 1 | 2 | 0 | 80 | 37 | 17 | 26 | 0 | 53 | 14 | 18 | 46 | 6 | 3 | 50.00% | 9 | 2 | 77.78% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 47 | 32 | 46 | 15 | 26 | 12 | 57.1% | 8.8% | 90.6% | 99.3 | Unlucky | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 3 | 0 | 0 | 0 | 36 | 17 | 7 | 12 | 0 | 27 | 9 | 4 | 16 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 25 | 18 | 21 | 7 | 12 | 7 | 66.7% | 8.3% | 96.3% | 104.6 | DULL | |
| 10 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 11 | 9 | 2 | 5 | 0.833 | 11 | 20 | 31 | 0 | 0 | 6 | 3 | 1 | 1 | 116 | 41 | 32 | 38 | 5 | 106 | 42 | 32 | 66 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 72 | 51 | 72 | 22 | 38 | 19 | 58.8% | 9.5% | 91.5% | 101.0 | LUCKY | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 4 | 8 | 12 | 0 | 33 | 10 | 27 | 17 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 23 | 16 | 22 | 7 | 13 | 6 | 33.3% | 8.3% | 87.9% | 96.2 | Unlucky | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 40 | 20 | 3 | 17 | 0 | 25 | 8 | 12 | 23 | 6 | 2 | 33.33% | 6 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 25 | 17 | 22 | 7 | 11 | 5 | 0.0% | 5.0% | 96.0% | 101.0 | DULL | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 38 | 13 | 14 | 11 | 0 | 26 | 7 | 12 | 13 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 25 | 18 | 21 | 7 | 12 | 6 | 0.0% | 2.6% | 88.5% | 91.1 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 37 | 13 | 17 | 7 | 0 | 24 | 10 | 14 | 21 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 23 | 15 | 25 | 7 | 11 | 5 | 83.3% | 16.2% | 91.7% | 107.9 | LUCKY | |
| 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 66 | 14 | 31 | 21 | 0 | 50 | 27 | 21 | 46 | 9 | 1 | 11.11% | 8 | 0 | 100.00% | 1 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 50 | 35 | 45 | 14 | 24 | 12 | 62.5% | 9.1% | 94.0% | 103.1 | LUCKY | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 40 | 10 | 9 | 21 | 0 | 21 | 6 | 4 | 21 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 25 | 17 | 20 | 8 | 13 | 7 | 100.0% | 5.0% | 100.0% | 105.0 | DULL | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 5 | 12 | 6 | 0 | 41 | 13 | 10 | 28 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 19 | 11 | 26 | 7 | 14 | 6 | 0.0% | 0.0% | 90.2% | 90.2 | Unlucky | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 46 | 9 | 21 | 16 | 0 | 19 | 9 | 8 | 25 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 28 | 20 | 19 | 7 | 11 | 6 | 20.0% | 6.5% | 73.7% | 80.2 | Unlucky | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 37 | 16 | 10 | 11 | 0 | 39 | 7 | 8 | 25 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 27 | 20 | 19 | 7 | 13 | 6 | 100.0% | 13.5% | 94.9% | 108.4 | LUCKY | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 2 | 1.000 | 5 | 9 | 14 | 0 | 1 | 0 | 0 | 5 | 0 | 54 | 18 | 14 | 22 | 0 | 20 | 6 | 6 | 19 | 11 | 2 | 18.18% | 3 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 29 | 21 | 18 | 7 | 12 | 6 | 100.0% | 9.3% | 100.0% | 109.3 | LUCKY | |
| 21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 4 | 0.667 | 13 | 22 | 35 | 0 | 0 | 4 | 2 | 7 | 0 | 106 | 31 | 35 | 40 | 0 | 114 | 33 | 39 | 60 | 19 | 4 | 21.05% | 12 | 2 | 83.33% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 71 | 50 | 72 | 21 | 36 | 17 | 60.0% | 12.3% | 93.0% | 105.2 | LUCKY | |
| 22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 5 | 1 | 2 | 0 | 81 | 40 | 9 | 32 | 0 | 57 | 16 | 15 | 39 | 10 | 2 | 20.00% | 4 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 52 | 38 | 44 | 15 | 23 | 12 | 42.9% | 9.9% | 86.0% | 95.8 | FUN | |
| 23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 16 | 6 | 9 | 0 | 30 | 10 | 6 | 27 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 26 | 19 | 22 | 7 | 11 | 5 | 66.7% | 9.7% | 96.7% | 106.3 | LUCKY | |
| _Vs Division | 10 | 7 | 1 | 0 | 1 | 1 | 0 | 0 | 41 | 25 | 16 | 17 | 0.850 | 41 | 73 | 114 | 0 | 0 | 22 | 9 | 9 | 1 | 394 | 149 | 112 | 128 | 5 | 295 | 92 | 83 | 199 | 37 | 6 | 16.22% | 30 | 4 | 86.67% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 251 | 179 | 228 | 73 | 123 | 63 | 62.5% | 10.4% | 91.5% | 101.9 | LUCKY | |
| _Vs Conference | 20 | 14 | 4 | 0 | 1 | 1 | 0 | 0 | 79 | 51 | 28 | 31 | 0.775 | 79 | 141 | 220 | 0 | 0 | 38 | 18 | 22 | 1 | 764 | 270 | 239 | 250 | 5 | 600 | 190 | 186 | 412 | 90 | 19 | 21.11% | 73 | 12 | 83.56% | 0 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 492 | 347 | 460 | 147 | 249 | 125 | 60.6% | 10.3% | 91.5% | 101.8 | LUCKY | |
| _Since Last GM Reset | 31 | 22 | 7 | 0 | 1 | 1 | 0 | 0 | 112 | 70 | 42 | 47 | 0.758 | 112 | 202 | 314 | 0 | 2 | 50 | 26 | 35 | 1 | 1186 | 408 | 372 | 401 | 5 | 897 | 281 | 290 | 637 | 147 | 30 | 20.41% | 114 | 17 | 85.09% | 1 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 786 | 557 | 690 | 224 | 387 | 196 | 60.7% | 9.4% | 92.2% | 101.6 | LUCKY | |
| Total | 31 | 22 | 7 | 0 | 1 | 1 | 0 | 0 | 112 | 70 | 42 | 47 | 0.758 | 112 | 202 | 314 | 0 | 2 | 50 | 26 | 35 | 1 | 1186 | 408 | 372 | 401 | 5 | 897 | 281 | 290 | 637 | 147 | 30 | 20.41% | 114 | 17 | 85.09% | 1 | 621 | 1215 | 51.11% | 564 | 1062 | 53.11% | 251 | 466 | 53.86% | 786 | 557 | 690 | 224 | 387 | 196 | 60.7% | 9.4% | 92.2% | 101.6 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1215 |
| Neutral Zone Start | 466 |
| Defensive Zone Start | 1062 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1436 |
| Faceoffs Lost | 1307 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 13.2 | 9.57 |
| 2nd Period | 25.2 | 20.31 |
| 3rd Period | 38.1 | 30.68 |
| Overtime | 38.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.6 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 3.6 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 81 |
|---|---|
| PP Goal | 30 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 11 | 12 |
| Lost | 2 | 5 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 147 |
|---|---|
| PP Goal | 30 |
| PK Attempt | 114 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 38.3 |
| Shots Against | 28.9 |
| Goals For | 3.6 |
| Goals Against | 2.3 |
| Hits | 20.5 |
| Shots Blocked | 9.1 |
| Pim | 9.4 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Blue Jackets1,Predators3 | RECAP | |||||||||||
| 2025-10-12 | @ | Blue Jackets2,Wild4 | RECAP | |||||||||||
| 2025-10-14 | @ | Devils3,Blue Jackets5 | RECAP | |||||||||||
| 2025-10-17 | @ | Avalanche2,Blue Jackets1 | RECAP | |||||||||||
| 2025-10-19 | @ | Lightning2,Blue Jackets6 | RECAP | |||||||||||
| 2025-10-22 | @ | Blue Jackets5,Stars0 | RECAP | |||||||||||
| 2025-10-25 | @ | Capitals2,Blue Jackets4 | RECAP | |||||||||||
| 2025-10-26 | @ | Blue Jackets5,Penguins2 | RECAP | |||||||||||
| 2025-10-29 | @ | Blue Jackets0,Sabres4 | RECAP | |||||||||||
| 2025-10-30 | @ | Maple Leafs1,Blue Jackets4 | RECAP | |||||||||||
| 2025-11-02 | @ | Blues0,Blue Jackets2 | RECAP | |||||||||||
| 2025-11-03 | @ | Blue Jackets3,Islanders1 | RECAP | |||||||||||
| 2025-11-06 | @ | Blue Jackets6,Flames3 | RECAP | |||||||||||
| 2025-11-09 | @ | Blue Jackets2,Canucks1 | RECAP | |||||||||||
| 2025-11-11 | @ | Blue Jackets3,Oilers2 | RECAP | |||||||||||
| 2025-11-12 | @ | Blue Jackets3,Kraken1 | RECAP | |||||||||||
| 2025-11-14 | @ | Oilers1,Blue Jackets3 | RECAP | |||||||||||
| 2025-11-16 | @ | Rangers1,Blue Jackets5 | RECAP | |||||||||||
| 2025-11-18 | @ | Canadiens1,Blue Jackets3 | RECAP | |||||||||||
| 2025-11-19 | @ | Blue Jackets5,Jets2 | RECAP | |||||||||||
| 2025-11-21 | @ | Blue Jackets2,Maple Leafs4 | RECAP | |||||||||||
| 2025-11-23 | @ | Blue Jackets3,Red Wings2 | RECAP | |||||||||||
| 2025-11-25 | @ | Blue Jackets4,Capitals3 (OT) | RECAP | |||||||||||
| 2025-11-27 | @ | Maple Leafs3,Blue Jackets7 | RECAP | |||||||||||
| 2025-11-29 | @ | Penguins6,Blue Jackets3 | RECAP | |||||||||||
| 2025-12-02 | @ | Blue Jackets4,Devils1 | RECAP | |||||||||||
| 2025-12-05 | @ | Red Wings3,Blue Jackets4 | RECAP | |||||||||||
| 2025-12-07 | @ | Blue Jackets3,Panthers5 | RECAP | |||||||||||
| 2025-12-08 | @ | Blue Jackets3,Capitals4 (OT) | RECAP | |||||||||||
| 2025-12-10 | @ | Blue Jackets5,Hurricanes2 | RECAP | |||||||||||
| 2025-12-12 | @ | Senators1,Blue Jackets6 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,950,000$ | 0$ | 95,103,475$ | 550,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| 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 | 74218 | 60611 | 25016 | 49646 | 12118 |
| Attendance PCT | 95.15% | 93.25% | 96.22% | 95.47% | 93.22% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 28 | 17047 - 94.70% | 1,559,877$ | 20,278,401$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,950,000$ | 94,950,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 33,636,065$ | 494,531$ | 33,287,100$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 43,676,556$ | 125 | 499,740$ | 62,467,500$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 64,296,631$ | 94,950,000$ | 47,499,809$ | 26,879,734$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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| 2029 | ||||||||
| 2030 |
| 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 |
|---|---|---|---|---|---|
| Aaron Huglen | 2019 | 101 | |||
| Alex Cotton | 2020 | 58 | |||
| Alexis Gravel | 6.5 - 6.5 | ||||
| Arseny Radkov | 2025 | 91 | |||
| Brandon Gorzynski | 2025 | 111 | |||
| Brennan Ali | 2022 | 207 | |||
| Brock Gould | 2020 | 199 | |||
| Charlie Desroches | 2020 | 156 | |||
| Chase Cheslock | 2023 | 148 | |||
| Dominic Basse | 2019 | 178 | |||
| Eemeli Rasanen | 3.0 - 3.0 | ||||
| Emile Guite | 2025 | 141 | |||
| Ethan Hay | 2023 | 214 | |||
| Frantisek Dej | 2023 | 223 | |||
| Garrett Brown | 2022 | 111 | |||
| Gunnarwolfe Fontaine | 2020 | 178 | |||
| Jacob Dion | 2020 | 133 | |||
| Jacob Holmes | 2021 | 157 | |||
| Jason Shaugabay | 2023 | 105 | |||
| Joshua Ravensbergen | 2025 | 27 | |||
| Kaden Pitre | 2024 | 184 | |||
| Kienan Draper | |||||
| Louis-Antoine Denault | 2025 | 210 | |||
| Luke Devlin | 2022 | 191 | |||
| Malte Vass | 2025 | 101 | |||
| Matthew Lahey | 2024 | 200 | |||
| Matvei Shuravin | 2024 | 53 | |||
| Melvin Novotny | 2025 | 191 | |||
| Mike Koster | 2019 | 139 | |||
| Nicholas Capone | |||||
| Nikita Susuyev | 2023 | 180 | |||
| Reko Alanko | 2025 | 203 | |||
| Robert Orr | 2021 | 130 | |||
| Ryan Healey | 2022 | 124 | |||
| Sasha Mutala | 2019 | 146 | |||
| Sean Tschigerl | 2021 | 142 | |||
| Tyler Peddle | 2023 | 204 |
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