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Full Scoreboard »» |
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Full Scoreboard »» |
| Columbus Blue Jackets 6-4-0, 12pts · 6th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jack Eichel | 9 | C | 100.00 | 59 | 35 | 91 | 85 | 82 | 90 | 87 | 80 | 84 | 86 | 81 | 78 | 81 | 74 | 73 | 0 | 46 | 90 | 29 | 10,000,000$/1yrs | |||
Sam Reinhart | 13 | C/RW | 100.00 | 69 | 36 | 87 | 81 | 77 | 90 | 90 | 81 | 75 | 76 | 91 | 77 | 86 | 75 | 74 | 0 | 47 | 90 | 29 | 7,000,000$/2yrs | |||
Mikko Rantanen | 0 | C/LW/RW | 100.00 | 63 | 34 | 77 | 83 | 87 | 93 | 90 | 82 | 78 | 85 | 83 | 60 | 83 | 73 | 71 | 0 | 46 | 89 | 29 | 9,500,000$/2yrs | |||
Jesper Bratt | 0 | LW/RW | 100.00 | 70 | 32 | 92 | 82 | 67 | 86 | 90 | 77 | 55 | 89 | 72 | 68 | 74 | 70 | 70 | 0 | 46 | 87 | 27 | 7,875,000$/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 | 46 | 84 | 32 | 3,750,000$/1yrs | |||
Morgan Geekie | 0 | C/RW | 100.00 | 73 | 33 | 90 | 75 | 81 | 83 | 89 | 72 | 75 | 69 | 82 | 57 | 77 | 70 | 69 | 0 | 46 | 83 | 27 | 3,000,000$/4yrs | |||
Kent Johnson | 91 | C/LW | 100.00 | 52 | 32 | 91 | 79 | 69 | 83 | 86 | 72 | 55 | 76 | 77 | 59 | 75 | 63 | 62 | 0 | 46 | 82 | 23 | 1,800,000$/2yrs | |||
Sam Bennett | 0 | C/LW/RW | 100.00 | 81 | 43 | 56 | 72 | 77 | 84 | 88 | 70 | 82 | 69 | 75 | 67 | 73 | 74 | 69 | 0 | 46 | 81 | 29 | 4,425,000$/1yrs | |||
Dmitri Voronkov | 0 | LW | 100.00 | 68 | 38 | 74 | 74 | 97 | 83 | 88 | 68 | 60 | 70 | 75 | 60 | 72 | 66 | 64 | 0 | 46 | 80 | 25 | 4,175,000$/2yrs | |||
Ryan McLeod | 0 | C/LW/RW | 100.00 | 61 | 33 | 94 | 68 | 82 | 82 | 90 | 64 | 84 | 69 | 68 | 72 | 66 | 68 | 67 | 0 | 46 | 78 | 26 | 5,000,000$/4yrs | |||
Lars Eller | 0 | C | 100.00 | 64 | 33 | 85 | 58 | 81 | 80 | 90 | 61 | 83 | 62 | 65 | 72 | 63 | 86 | 84 | 0 | 46 | 75 | 36 | 1,500,000$/1yrs | |||
Parker Kelly | 0 | C/LW | 100.00 | 80 | 34 | 87 | 57 | 74 | 76 | 90 | 58 | 73 | 60 | 61 | 80 | 59 | 68 | 67 | 0 | 46 | 74 | 26 | 800,000$/5yrs | |||
Brady Skjei | 0 | D | 100.00 | 65 | 33 | 82 | 66 | 84 | 92 | 90 | 64 | 30 | 71 | 65 | 74 | 65 | 78 | 76 | 0 | 46 | 81 | 31 | 5,500,000$/3yrs | |||
Rasmus Andersson | 4 | D | 100.00 | 61 | 34 | 77 | 65 | 79 | 96 | 90 | 65 | 30 | 69 | 64 | 80 | 64 | 73 | 71 | 0 | 46 | 80 | 29 | 5,750,000$/6yrs | |||
Vladislav Gavrikov | 0 | D | 100.00 | 63 | 34 | 88 | 65 | 88 | 93 | 90 | 65 | 30 | 68 | 58 | 81 | 62 | 75 | 73 | 0 | 46 | 80 | 29 | 4,500,000$/1yrs | |||
K'Andre Miller | 0 | D | 100.00 | 76 | 35 | 84 | 65 | 88 | 92 | 89 | 64 | 30 | 67 | 61 | 80 | 63 | 67 | 66 | 0 | 46 | 80 | 25 | 4,500,000$/9yrs | |||
Erik Cernak | 0 | D | 100.00 | 84 | 43 | 73 | 59 | 90 | 87 | 88 | 63 | 30 | 63 | 55 | 78 | 59 | 72 | 69 | 0 | 40 | 77 | 28 | 4,750,000$/3yrs | |||
Zach Bogosian | 24 | D | 100.00 | 72 | 37 | 75 | 55 | 87 | 84 | 88 | 57 | 30 | 61 | 57 | 70 | 57 | 84 | 81 | 0 | 46 | 74 | 35 | 1,250,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 69 | 35 | 83 | 70 | 82 | 87 | 88 | 69 | 60 | 71 | 70 | 72 | 70 | 73 | 72 | 0 | 46 | 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 | 100.00 | 85 | 95 | 85 | 90 | 95 | 87 | 94 | 95 | 94 | 97 | 94 | 77 | 82 | 0 | 48 | 94 | 31 | 9,500,000$/3yrs |
Colten Ellis | 45 | 100.00 | 75 | 70 | 72 | 74 | 79 | 76 | 77 | 75 | 76 | 74 | 76 | 67 | 67 | 0 | 46 | 79 | 25 | 800,000$/1yrs |
| Scratches | ||||||||||||||||||||
Eric Comrie | 0 | 96.00 | 72 | 71 | 70 | 74 | 78 | 70 | 79 | 84 | 78 | 84 | 79 | 75 | 79 | 0 | 48 | 81 | 30 | 825,000$/1yrs |
| TEAM AVERAGE | 98.67 | 77 | 79 | 76 | 79 | 84 | 78 | 83 | 85 | 83 | 85 | 83 | 73 | 76 | 0 | 47 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lane Lambert | 93 | 84 | 82 | 95 | 78 | 74 | 86 | CAN | 61 | 4 | 1,000,000$ |
| 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 | 10 | 8 | 11 | 19 | 13 | 2 | 0 | 10 | 45 | 13 | 45 | 17.78% | 0 | 20.37 | 1 | 3 | 4 | 50 | 0 | 0 | 0 | 2 | 1 | 0 | 51.17% | 256 | 0 | 0 | 0 | 1 | 1.87 | 0 | 0 | |
| 2 | Mikko Rantanen | 0 | C/LW/RW | 10 | 6 | 8 | 14 | 13 | 4 | 0 | 17 | 49 | 7 | 35 | 12.24% | 0 | 20.12 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 0 | 1 | 0 | 46.67% | 15 | 0 | 0 | 0 | 0 | 1.39 | 0 | 0 | |
| 3 | Kent Johnson | 91 | C/LW | 10 | 2 | 10 | 12 | 8 | 2 | 0 | 2 | 37 | 12 | 20 | 5.41% | 0 | 17.79 | 1 | 2 | 3 | 47 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 18 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | |
| 4 | Rasmus Andersson | 4 | D | 10 | 2 | 9 | 11 | 5 | 2 | 0 | 11 | 13 | 6 | 6 | 15.38% | 19 | 25.51 | 1 | 4 | 5 | 49 | 0 | 0 | 0 | 30 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
| 5 | Boone Jenner | 38 | C/LW | 10 | 2 | 4 | 6 | -2 | 6 | 0 | 18 | 38 | 8 | 29 | 5.26% | 5 | 20.26 | 2 | 2 | 4 | 47 | 0 | 0 | 0 | 44 | 0 | 0 | 49.06% | 320 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 6 | Sam Reinhart | 13 | C/RW | 10 | 4 | 2 | 6 | -2 | 7 | 5 | 7 | 53 | 10 | 32 | 7.55% | 3 | 20.97 | 2 | 1 | 3 | 46 | 0 | 0 | 0 | 47 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 7 | Morgan Geekie | 0 | C/RW | 10 | 3 | 3 | 6 | -2 | 2 | 0 | 4 | 15 | 5 | 13 | 20.00% | 0 | 13.00 | 1 | 2 | 3 | 30 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
| 8 | K'Andre Miller | 0 | D | 10 | 0 | 5 | 5 | 8 | 6 | 0 | 30 | 17 | 6 | 11 | 0.00% | 10 | 24.61 | 0 | 1 | 1 | 47 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 9 | Brady Skjei | 0 | D | 10 | 1 | 3 | 4 | 3 | 4 | 0 | 2 | 16 | 8 | 4 | 6.25% | 10 | 21.81 | 1 | 1 | 2 | 49 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 10 | Jesper Bratt | 0 | LW/RW | 10 | 2 | 1 | 3 | 1 | 6 | 0 | 12 | 25 | 7 | 20 | 8.00% | 0 | 17.94 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 1 | 1 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 11 | Sam Bennett | 0 | C/LW/RW | 10 | 0 | 2 | 2 | -2 | 12 | 0 | 17 | 16 | 3 | 12 | 0.00% | 1 | 11.25 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 45.67% | 127 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 12 | Vladislav Gavrikov | 0 | D | 10 | 2 | 0 | 2 | -3 | 6 | 0 | 5 | 12 | 4 | 2 | 16.67% | 18 | 17.19 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 13 | Erik Cernak | 0 | D | 10 | 0 | 1 | 1 | 3 | 40 | 10 | 27 | 10 | 2 | 2 | 0.00% | 14 | 15.38 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| 14 | Parker Kelly | 0 | C/LW | 10 | 0 | 1 | 1 | -3 | 6 | 0 | 11 | 9 | 2 | 5 | 0.00% | 1 | 7.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 15 | Ryan McLeod | 0 | C/LW/RW | 10 | 1 | 0 | 1 | -3 | 0 | 0 | 0 | 10 | 2 | 8 | 10.00% | 0 | 6.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| 16 | Dmitri Voronkov | 0 | LW | 10 | 0 | 1 | 1 | -2 | 0 | 0 | 2 | 9 | 7 | 12 | 0.00% | 0 | 10.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
| 17 | Lars Eller | 0 | C | 10 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 10 | 1 | 4 | 0.00% | 1 | 8.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 64.95% | 97 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Zach Bogosian | 24 | D | 10 | 0 | 0 | 0 | -4 | 6 | 0 | 19 | 1 | 3 | 5 | 0.00% | 10 | 12.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 180 | 33 | 61 | 94 | 28 | 111 | 15 | 195 | 385 | 106 | 265 | 8.57% | 92 | 16.23 | 11 | 18 | 29 | 491 | 0 | 0 | 0 | 286 | 6 | 0 | 51.02% | 880 | 0 | 0 | 0 | 1 | 0.64 | 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 | 6 | 3 | 3 | 0 | 0.910 | 2.34 | 359 | 0 | 1 | 14 | 156 | 0 | 0 | 0 | 0.000 | 0 | 6 | 4 | 0 | 0 | 0 | |
| 2 | Eric Comrie | 4 | 3 | 1 | 0 | 0.935 | 2.25 | 240 | 0 | 0 | 9 | 139 | 0 | 2 | 0 | 0.000 | 0 | 4 | 6 | 1 | 0 | 0 | |
| Team Total or Average | 10 | 6 | 4 | 0 | 0.922 | 2.30 | 599 | 0 | 1 | 23 | 295 | 0 | 2 | 0 | 0.000 | 0 | 10 | 10 | 1 | 0 | 0 |
| Projected Total Cap Hit | 96,099,926$ |
| Projected Cap Space | -599,926$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 12,425,912$ |
| Players In Salary Cap | 21 |
| LTIR Players | 0 |
| 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 | ||||
Colten Ellis | G | 25 | 800,000$ | 800,000$ | RFA | ||||||
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$ | 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 | 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$ | UFA | ||||||
Sam Reinhart ![]() | C/RW | 29 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Vladislav Gavrikov ![]() | D | 29 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Zach Bogosian | D | 35 | 1,250,000$ | 1,250,000$ | 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 | 21 | 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 | 22 | 922,500$ | 922,500$ | 922,500$ | RFA | |||||
Cole Koepke | LW/RW | 27 | 800,000$ | 800,000$ | |||||||
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 St. Ivany | D | 26 | 800,000$ | 800,000$ | |||||||
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$ | |||||||
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 | 23 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 44 | 13 | 20 | 11 | 0 | 33 | 11 | 8 | 19 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 23 | 16 | 23 | 7 | 12 | 6 | 66.7% | 11.4% | 90.9% | 102.3 | FUN | |
| 2 | 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 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 29 | 21 | 17 | 5 | 13 | 7 | 0.0% | 2.0% | 90.0% | 92.0 | Unlucky | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 33 | 15 | 14 | 4 | 0 | 33 | 11 | 18 | 22 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 23 | 16 | 22 | 7 | 13 | 6 | 60.0% | 12.1% | 93.9% | 106.1 | LUCKY | |
| 4 | 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 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 23 | 16 | 22 | 7 | 13 | 6 | 33.3% | 8.3% | 87.9% | 96.2 | Unlucky | |
| 5 | 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 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 25 | 18 | 21 | 7 | 12 | 6 | 0.0% | 2.6% | 88.5% | 91.1 | Unlucky | |
| 6 | 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 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 23 | 15 | 25 | 7 | 11 | 5 | 83.3% | 16.2% | 91.7% | 107.9 | LUCKY | |
| 7 | 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 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 19 | 11 | 26 | 7 | 14 | 6 | 0.0% | 0.0% | 90.2% | 90.2 | Unlucky | |
| 8 | 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 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 29 | 21 | 18 | 7 | 12 | 6 | 100.0% | 9.3% | 100.0% | 109.3 | LUCKY | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 12 | 11 | 13 | 0 | 31 | 12 | 4 | 17 | 11 | 1 | 9.09% | 2 | 0 | 100.00% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 26 | 18 | 21 | 7 | 12 | 6 | 75.0% | 11.1% | 96.8% | 107.9 | LUCKY | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 46 | 25 | 3 | 18 | 0 | 34 | 9 | 10 | 20 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 26 | 19 | 22 | 7 | 11 | 5 | 60.0% | 10.9% | 94.1% | 105.0 | LUCKY | |
| _Vs Division | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 7 | 7 | 6 | 1.000 | 14 | 25 | 39 | 0 | 0 | 7 | 4 | 3 | 0 | 123 | 53 | 37 | 33 | 0 | 100 | 31 | 36 | 61 | 12 | 4 | 33.33% | 11 | 1 | 90.91% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 73 | 52 | 68 | 22 | 37 | 18 | 62.5% | 11.4% | 93.0% | 104.4 | LUCKY | |
| _Vs Conference | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 24 | 14 | 10 | 10 | 0.833 | 24 | 45 | 69 | 0 | 0 | 12 | 7 | 5 | 0 | 219 | 83 | 77 | 59 | 0 | 196 | 66 | 64 | 127 | 32 | 6 | 18.75% | 25 | 4 | 84.00% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 143 | 98 | 141 | 45 | 75 | 37 | 64.3% | 11.0% | 92.9% | 103.8 | LUCKY | |
| _Since Last GM Reset | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 23 | 10 | 12 | 0.600 | 33 | 61 | 94 | 0 | 1 | 15 | 7 | 11 | 0 | 385 | 134 | 132 | 119 | 0 | 295 | 92 | 111 | 195 | 58 | 11 | 18.97% | 41 | 7 | 82.93% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 251 | 176 | 221 | 73 | 127 | 64 | 57.9% | 8.6% | 92.2% | 100.8 | DULL | |
| Total | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 23 | 10 | 12 | 0.600 | 33 | 61 | 94 | 0 | 1 | 15 | 7 | 11 | 0 | 385 | 134 | 132 | 119 | 0 | 295 | 92 | 111 | 195 | 58 | 11 | 18.97% | 41 | 7 | 82.93% | 0 | 186 | 385 | 48.31% | 173 | 345 | 50.14% | 90 | 150 | 60.00% | 251 | 176 | 221 | 73 | 127 | 64 | 57.9% | 8.6% | 92.2% | 100.8 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 385 |
| Neutral Zone Start | 150 |
| Defensive Zone Start | 345 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 449 |
| Faceoffs Lost | 431 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 13.4 | 9.57 |
| 2nd Period | 26.6 | 20.31 |
| 3rd Period | 38.5 | 30.68 |
| Overtime | 38.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 22 |
|---|---|
| PP Goal | 11 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 4 | 2 |
| Lost | 1 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 58 |
|---|---|
| PP Goal | 11 |
| PK Attempt | 41 |
| PK Goal Against | 7 |
| Home | |
|---|---|
| Shots For | 38.5 |
| Shots Against | 29.5 |
| Goals For | 3.3 |
| Goals Against | 2.3 |
| Hits | 19.5 |
| Shots Blocked | 9.2 |
| Pim | 11.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 96,200,000$ | 0$ | 96,099,926$ | -700,000$ |
| 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 | 28569 | 23337 | 9673 | 18833 | 4507 |
| Attendance PCT | 95.23% | 93.35% | 96.73% | 94.17% | 90.14% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 36 | 16984 - 94.35% | 1,551,654$ | 7,758,269$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 96,200,000$ | 96,200,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 12,556,112$ | 501,042$ | 12,425,912$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 55,859,537$ | 167 | 506,250$ | 84,543,750$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 86,966,710$ | 96,200,000$ | 56,749,390$ | 25,642,217$ |
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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| 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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