| Columbus Blue Jackets 41-13-3, 85pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jack Eichel | 9 | C | 100.00 | 62 | 33 | 93 | 89 | 82 | 89 | 87 | 82 | 85 | 94 | 82 | 69 | 82 | 75 | 74 | 0 | 87 | 93 | 29 | 10,000,000$/9yrs | |||
Mikko Rantanen | 0 | C/LW/RW | 100.00 | 64 | 51 | 50 | 88 | 87 | 87 | 90 | 85 | 61 | 94 | 81 | 56 | 83 | 75 | 70 | 0 | 86 | 91 | 29 | 9,500,000$/2yrs | |||
Sam Reinhart | 13 | C/RW | 100.00 | 68 | 33 | 95 | 80 | 77 | 89 | 90 | 79 | 60 | 76 | 87 | 74 | 83 | 77 | 76 | 0 | 87 | 89 | 30 | 7,000,000$/2yrs | |||
Morgan Geekie | 0 | C/RW | 100.00 | 75 | 33 | 89 | 79 | 81 | 83 | 90 | 77 | 62 | 71 | 89 | 55 | 83 | 71 | 70 | 0 | 87 | 86 | 27 | 3,000,000$/4yrs | |||
Jesper Bratt | 0 | LW/RW | 100.00 | 69 | 32 | 92 | 79 | 67 | 86 | 90 | 75 | 55 | 86 | 71 | 67 | 73 | 71 | 71 | 0 | 87 | 85 | 27 | 7,875,000$/6yrs | |||
Boone Jenner (C) | 38 | C/LW | 100.00 | 78 | 38 | 86 | 72 | 81 | 83 | 76 | 69 | 79 | 74 | 72 | 74 | 71 | 80 | 89 | 0 | 87 | 83 | 32 | 3,750,000$/1yrs | |||
Sam Bennett | 0 | C/LW/RW | 100.00 | 79 | 33 | 61 | 75 | 77 | 84 | 90 | 72 | 84 | 74 | 78 | 66 | 75 | 75 | 71 | 0 | 87 | 83 | 29 | 4,425,000$/9yrs | |||
Dmitri Voronkov | 0 | LW | 100.00 | 75 | 52 | 62 | 73 | 97 | 80 | 90 | 68 | 57 | 68 | 77 | 57 | 72 | 67 | 64 | 0 | 87 | 80 | 25 | 4,175,000$/2yrs | |||
Nick Paul | 0 | C/LW/RW | 100.00 | 69 | 35 | 87 | 69 | 89 | 84 | 90 | 68 | 83 | 66 | 74 | 63 | 71 | 76 | 74 | 0 | 52 | 79 | 30 | 3,150,000$/4yrs | |||
Kent Johnson | 91 | C/LW/RW | 100.00 | 53 | 32 | 92 | 74 | 69 | 81 | 87 | 67 | 55 | 72 | 72 | 58 | 69 | 64 | 63 | 0 | 87 | 78 | 23 | 1,800,000$/2yrs | |||
Parker Kelly | 0 | C/LW | 100.00 | 79 | 32 | 89 | 62 | 74 | 74 | 90 | 61 | 61 | 63 | 67 | 76 | 64 | 70 | 69 | 0 | 87 | 76 | 26 | 800,000$/5yrs | |||
Lars Eller | 0 | C | 100.00 | 64 | 33 | 92 | 55 | 81 | 75 | 83 | 56 | 85 | 60 | 58 | 67 | 57 | 87 | 86 | 0 | 87 | 72 | 36 | 1,500,000$/1yrs | |||
Rasmus Andersson | 4 | D | 100.00 | 62 | 33 | 64 | 69 | 79 | 94 | 90 | 66 | 30 | 74 | 69 | 81 | 68 | 75 | 71 | 0 | 87 | 83 | 29 | 5,750,000$/6yrs | |||
K'Andre Miller | 0 | D | 100.00 | 73 | 34 | 83 | 66 | 88 | 91 | 87 | 62 | 30 | 69 | 60 | 78 | 61 | 68 | 67 | 0 | 89 | 80 | 26 | 4,500,000$/9yrs | |||
Gustav Forsling | 0 | D | 100.00 | 67 | 32 | 89 | 65 | 73 | 92 | 90 | 64 | 30 | 67 | 62 | 78 | 63 | 75 | 74 | 0 | 65 | 79 | 29 | 6,000,000$/6yrs | |||
Vladislav Gavrikov | 0 | D | 100.00 | 62 | 34 | 86 | 62 | 88 | 93 | 90 | 63 | 30 | 67 | 61 | 79 | 62 | 76 | 74 | 0 | 87 | 79 | 30 | 4,500,000$/1yrs | |||
Erik Cernak | 0 | D | 100.00 | 81 | 44 | 67 | 55 | 90 | 86 | 80 | 61 | 30 | 62 | 50 | 83 | 55 | 73 | 70 | 0 | 85 | 76 | 28 | 4,750,000$/3yrs | |||
Jeff Petry | 0 | D | 100.00 | 68 | 33 | 87 | 55 | 84 | 83 | 82 | 54 | 30 | 63 | 52 | 64 | 53 | 89 | 88 | 0 | 56 | 74 | 38 | 1,300,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 69 | 36 | 81 | 70 | 81 | 85 | 87 | 68 | 56 | 72 | 70 | 69 | 69 | 75 | 73 | 0 | 82 | 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 | 98.00 | 89 | 95 | 84 | 90 | 95 | 86 | 94 | 94 | 93 | 95 | 94 | 79 | 83 | 0 | 88 | 94 | 31 | 9,500,000$/3yrs |
Eric Comrie | 0 | 100.00 | 73 | 77 | 73 | 74 | 80 | 72 | 81 | 85 | 81 | 86 | 81 | 76 | 80 | 0 | 87 | 83 | 30 | 825,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 81 | 86 | 79 | 82 | 88 | 79 | 88 | 90 | 87 | 91 | 88 | 78 | 82 | 0 | 88 | 89 | |||
| 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 | 57 | 31 | 45 | 76 | 25 | 4 | 0 | 26 | 255 | 71 | 197 | 12.16% | 6 | 20.24 | 8 | 10 | 18 | 208 | 0 | 0 | 0 | 9 | 6 | 2 | 54.01% | 1520 | 0 | 0 | 0 | 1 | 1.32 | 0 | 0 | |
| 2 | Sam Reinhart | 13 | C/RW | 57 | 27 | 32 | 59 | 8 | 25 | 5 | 46 | 315 | 89 | 216 | 8.57% | 16 | 21.11 | 9 | 10 | 19 | 202 | 0 | 0 | 0 | 228 | 6 | 1 | 48.00% | 100 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | |
| 3 | Mikko Rantanen | 0 | C/LW/RW | 57 | 22 | 26 | 48 | 23 | 43 | 5 | 120 | 227 | 50 | 169 | 9.69% | 5 | 19.72 | 4 | 6 | 10 | 207 | 0 | 0 | 0 | 0 | 5 | 0 | 35.44% | 79 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 4 | Rasmus Andersson | 4 | D | 57 | 7 | 37 | 44 | 22 | 34 | 0 | 74 | 89 | 30 | 61 | 7.87% | 80 | 25.37 | 2 | 11 | 13 | 206 | 0 | 1 | 1 | 150 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 5 | Jesper Bratt | 0 | LW/RW | 57 | 14 | 29 | 43 | 5 | 16 | 0 | 47 | 146 | 46 | 111 | 9.59% | 4 | 17.54 | 4 | 11 | 15 | 206 | 0 | 0 | 0 | 15 | 1 | 1 | 41.25% | 80 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
| 6 | Boone Jenner | 38 | C/LW | 57 | 12 | 30 | 42 | 11 | 38 | 0 | 127 | 189 | 53 | 118 | 6.35% | 21 | 20.45 | 4 | 10 | 14 | 191 | 0 | 0 | 0 | 221 | 4 | 0 | 53.13% | 1724 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
| 7 | Nick Paul | 0 | C/LW/RW | 56 | 12 | 24 | 36 | -4 | 12 | 0 | 52 | 148 | 40 | 96 | 8.11% | 7 | 13.88 | 6 | 13 | 19 | 184 | 0 | 0 | 0 | 6 | 2 | 1 | 55.35% | 636 | 0 | 0 | 0 | 0 | 0.93 | 0 | 4 | |
| 8 | Gustav Forsling | 0 | D | 56 | 13 | 23 | 36 | -2 | 38 | 0 | 75 | 126 | 26 | 76 | 10.32% | 77 | 22.37 | 7 | 9 | 16 | 146 | 0 | 1 | 1 | 169 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 9 | Kent Johnson | 91 | C/LW/RW | 57 | 13 | 23 | 36 | 18 | 2 | 0 | 8 | 144 | 46 | 93 | 9.03% | 7 | 15.64 | 4 | 9 | 13 | 189 | 0 | 0 | 0 | 0 | 3 | 0 | 40.91% | 66 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
| 10 | Morgan Geekie | 0 | C/RW | 57 | 19 | 14 | 33 | 14 | 16 | 0 | 58 | 124 | 39 | 74 | 15.32% | 3 | 14.66 | 2 | 3 | 5 | 43 | 0 | 0 | 0 | 0 | 1 | 0 | 39.62% | 53 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 11 | Vladislav Gavrikov | 0 | D | 57 | 10 | 20 | 30 | -6 | 18 | 0 | 43 | 74 | 26 | 54 | 13.51% | 76 | 18.15 | 6 | 4 | 10 | 175 | 0 | 0 | 0 | 183 | 1 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.58 | 0 | 0 | |
| 12 | K'Andre Miller | 0 | D | 57 | 5 | 23 | 28 | 19 | 57 | 5 | 138 | 86 | 28 | 58 | 5.81% | 68 | 24.77 | 2 | 3 | 5 | 202 | 0 | 0 | 0 | 140 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 13 | Sam Bennett | 0 | C/LW/RW | 57 | 7 | 13 | 20 | 5 | 43 | 5 | 131 | 108 | 35 | 91 | 6.48% | 7 | 12.08 | 1 | 1 | 2 | 16 | 0 | 0 | 0 | 6 | 0 | 1 | 49.35% | 845 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 14 | Erik Cernak | 0 | D | 57 | 3 | 13 | 16 | 31 | 127 | 25 | 153 | 39 | 14 | 16 | 7.69% | 73 | 17.95 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 149 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.31 | 0 | 0 | |
| 15 | Dmitri Voronkov | 0 | LW | 57 | 8 | 6 | 14 | 1 | 18 | 0 | 48 | 84 | 30 | 67 | 9.52% | 2 | 11.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 50.00% | 44 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 16 | Jeff Petry | 0 | D | 56 | 3 | 7 | 10 | -3 | 44 | 0 | 99 | 42 | 10 | 26 | 7.14% | 61 | 16.05 | 0 | 2 | 2 | 77 | 0 | 0 | 0 | 73 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 17 | Lars Eller | 0 | C | 57 | 3 | 7 | 10 | 8 | 2 | 0 | 13 | 32 | 9 | 31 | 9.38% | 3 | 7.26 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 105 | 1 | 0 | 54.44% | 450 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 18 | Parker Kelly | 0 | C/LW | 57 | 5 | 4 | 9 | 8 | 8 | 0 | 45 | 46 | 18 | 35 | 10.87% | 7 | 7.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 1 | 1 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| Team Total or Average | 1023 | 214 | 376 | 590 | 183 | 545 | 45 | 1303 | 2274 | 660 | 1589 | 9.41% | 523 | 17.01 | 59 | 102 | 161 | 2264 | 0 | 3 | 3 | 1566 | 40 | 10 | 52.30% | 5618 | 0 | 0 | 2 | 1 | 0.68 | 0 | 4 |
| 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 | 42 | 32 | 8 | 2 | 0.919 | 2.33 | 2529 | 2 | 3 | 98 | 1212 | 0 | 1 | 0 | 0.000 | 0 | 42 | 15 | 3 | 2 | 3 | |
| 2 | Eric Comrie | 15 | 9 | 5 | 1 | 0.920 | 2.39 | 903 | 0 | 1 | 36 | 448 | 0 | 2 | 0 | 0.000 | 0 | 15 | 40 | 2 | 3 | 0 | |
| Team Total or Average | 57 | 41 | 13 | 3 | 0.919 | 2.34 | 3433 | 2 | 4 | 134 | 1660 | 0 | 3 | 0 | 0.000 | 0 | 57 | 55 | 5 | 5 | 3 |
| Projected Total Cap Hit | 94,872,225$ |
| Projected Cap Space | 627,775$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 61,055,049$ |
| Players In Salary Cap | 20 |
| 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 | ||||||
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 | ||||
Gustav Forsling ![]() | D | 29 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 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$ |
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 | 26 | 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 | |||
Nick Paul ![]() | C/LW/RW | 30 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 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 | |
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 | 25 | 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 | 24 | 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 | 24 | 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 | 22 | 850,000$ | 850,000$ | RFA | ||||||
Liam Foudy | C | 26 | 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 | 23 | 870,000$ | 870,000$ | RFA | ||||||
Nikita Susuyev | LW | 20 | 0$ | 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 | 23 | 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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 3 | 4 | 3 | 0 | 80 | 20 | 37 | 23 | 0 | 56 | 22 | 14 | 35 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 58 | 44 | 37 | 13 | 24 | 12 | 64.3% | 12.5% | 91.1% | 103.6 | Unlucky | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 15 | 12 | 11 | 0 | 34 | 5 | 12 | 31 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 23 | 16 | 23 | 6 | 12 | 6 | 66.7% | 5.3% | 97.1% | 102.3 | DULL | |
| 3 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 9 | 7 | 6 | 0.750 | 16 | 30 | 46 | 0 | 0 | 7 | 5 | 4 | 0 | 162 | 63 | 60 | 39 | 0 | 111 | 39 | 36 | 85 | 22 | 5 | 22.73% | 18 | 4 | 77.78% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 106 | 75 | 84 | 29 | 49 | 26 | 68.8% | 9.9% | 91.9% | 101.8 | LUCKY | |
| 4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 8 | 7 | 6 | 1.000 | 15 | 28 | 43 | 0 | 0 | 4 | 6 | 5 | 0 | 116 | 29 | 48 | 39 | 0 | 96 | 20 | 34 | 57 | 14 | 6 | 42.86% | 12 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 73 | 51 | 67 | 21 | 38 | 18 | 52.9% | 12.9% | 91.7% | 104.6 | LUCKY | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 3 | 2 | 0 | 0 | 79 | 26 | 27 | 26 | 0 | 43 | 9 | 8 | 37 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 52 | 37 | 41 | 14 | 26 | 13 | 80.0% | 6.3% | 97.7% | 104.0 | DULL | |
| 6 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 28 | 21 | 20 | 6 | 11 | 6 | 71.4% | 10.6% | 92.6% | 103.2 | LUCKY | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 91 | 22 | 38 | 31 | 0 | 48 | 9 | 8 | 47 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 54 | 38 | 41 | 12 | 24 | 12 | 42.9% | 5.5% | 91.7% | 97.2 | DULL | |
| 8 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 22 | 15 | 25 | 7 | 12 | 6 | 83.3% | 13.9% | 96.7% | 110.6 | LUCKY | |
| 9 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 47 | 32 | 46 | 15 | 26 | 12 | 57.1% | 8.8% | 90.6% | 99.3 | Unlucky | |
| 10 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 25 | 18 | 21 | 7 | 12 | 7 | 66.7% | 8.3% | 96.3% | 104.6 | DULL | |
| 11 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 72 | 51 | 72 | 22 | 38 | 19 | 58.8% | 9.5% | 91.5% | 101.0 | LUCKY | |
| 12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 4 | 0 | 4 | 0 | 60 | 17 | 16 | 27 | 0 | 65 | 18 | 33 | 39 | 7 | 3 | 42.86% | 9 | 2 | 77.78% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 50 | 35 | 43 | 13 | 25 | 13 | 45.5% | 13.3% | 87.7% | 101.0 | FUN | |
| 13 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 1 | 1 | 76 | 31 | 15 | 26 | 4 | 49 | 13 | 18 | 53 | 13 | 3 | 23.08% | 9 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 54 | 38 | 44 | 14 | 25 | 12 | 44.4% | 9.2% | 89.8% | 99.0 | FUN | |
| 14 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 70 | 30 | 17 | 20 | 3 | 55 | 21 | 16 | 51 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 50 | 33 | 45 | 14 | 27 | 14 | 58.3% | 10.0% | 89.1% | 99.1 | FUN | |
| 15 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 25 | 18 | 21 | 7 | 12 | 6 | 0.0% | 2.6% | 88.5% | 91.1 | Unlucky | |
| 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 4 | 1.000 | 10 | 17 | 27 | 0 | 1 | 6 | 2 | 2 | 0 | 77 | 26 | 31 | 20 | 0 | 42 | 17 | 24 | 50 | 8 | 1 | 12.50% | 11 | 1 | 90.91% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 47 | 31 | 47 | 15 | 25 | 12 | 90.0% | 13.0% | 95.2% | 108.2 | LUCKY | |
| 17 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 50 | 35 | 45 | 14 | 24 | 12 | 62.5% | 9.1% | 94.0% | 103.1 | LUCKY | |
| 18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 2 | 2 | 0 | 0 | 75 | 19 | 20 | 36 | 0 | 46 | 12 | 12 | 51 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 50 | 35 | 44 | 14 | 24 | 12 | 66.7% | 5.3% | 97.8% | 103.2 | DULL | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 12 | 7 | 10 | 0 | 37 | 12 | 10 | 17 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 21 | 14 | 27 | 7 | 11 | 5 | 33.3% | 3.4% | 94.6% | 98.0 | DULL | |
| 20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 60 | 17 | 27 | 16 | 0 | 64 | 20 | 27 | 41 | 8 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 44 | 28 | 49 | 15 | 26 | 12 | 37.5% | 5.0% | 85.9% | 90.9 | Unlucky | |
| 21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 81 | 26 | 28 | 27 | 0 | 54 | 8 | 18 | 34 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 52 | 37 | 42 | 14 | 24 | 12 | 77.8% | 9.9% | 94.4% | 104.3 | LUCKY | |
| 22 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 28 | 20 | 19 | 7 | 11 | 6 | 20.0% | 6.5% | 73.7% | 80.2 | Unlucky | |
| 23 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 27 | 20 | 19 | 7 | 13 | 6 | 100.0% | 13.5% | 94.9% | 108.4 | LUCKY | |
| 24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 3 | 0 | 0 | 0 | 78 | 31 | 29 | 18 | 0 | 77 | 20 | 20 | 51 | 7 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 45 | 32 | 51 | 14 | 22 | 10 | 42.9% | 3.8% | 90.9% | 94.8 | Unlucky | |
| 25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 0 | 0 | 6 | 0 | 76 | 27 | 16 | 33 | 0 | 53 | 13 | 18 | 37 | 14 | 2 | 14.29% | 9 | 1 | 88.89% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 53 | 37 | 40 | 14 | 26 | 13 | 50.0% | 7.9% | 90.6% | 98.5 | Unlucky | |
| 26 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 71 | 50 | 72 | 21 | 36 | 17 | 60.0% | 12.3% | 93.0% | 105.2 | LUCKY | |
| 27 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 13 | 12 | 1 | 5 | 0.625 | 13 | 22 | 35 | 0 | 0 | 6 | 4 | 3 | 0 | 151 | 56 | 29 | 61 | 5 | 120 | 37 | 27 | 68 | 21 | 4 | 19.05% | 10 | 1 | 90.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 104 | 74 | 87 | 29 | 50 | 26 | 45.0% | 8.6% | 90.0% | 98.6 | Unlucky | |
| 28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 37 | 15 | 11 | 11 | 0 | 37 | 14 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 22 | 16 | 25 | 6 | 11 | 5 | 66.7% | 10.8% | 94.6% | 105.4 | LUCKY | |
| 29 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 1 | 1 | 1 | 40 | 15 | 14 | 10 | 1 | 52 | 15 | 14 | 33 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 49 | 33 | 43 | 16 | 27 | 13 | 66.7% | 15.0% | 92.3% | 107.3 | LUCKY | |
| 30 | 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 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 26 | 19 | 22 | 7 | 11 | 5 | 66.7% | 9.7% | 96.7% | 106.3 | LUCKY | |
| _Vs Division | 16 | 11 | 2 | 0 | 1 | 2 | 0 | 0 | 57 | 35 | 22 | 26 | 0.813 | 57 | 103 | 160 | 0 | 1 | 28 | 16 | 12 | 1 | 629 | 234 | 190 | 195 | 10 | 471 | 146 | 131 | 327 | 63 | 11 | 17.46% | 53 | 7 | 86.79% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 410 | 292 | 355 | 116 | 200 | 104 | 62.2% | 9.1% | 92.6% | 101.6 | LUCKY | |
| _Vs Conference | 30 | 21 | 6 | 0 | 1 | 2 | 0 | 0 | 111 | 73 | 38 | 46 | 0.767 | 111 | 197 | 308 | 0 | 2 | 50 | 31 | 29 | 1 | 1150 | 400 | 376 | 364 | 10 | 886 | 268 | 285 | 622 | 132 | 28 | 21.21% | 113 | 17 | 84.96% | 0 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 748 | 525 | 679 | 220 | 377 | 191 | 59.7% | 9.7% | 91.8% | 101.4 | LUCKY | |
| _Since Last GM Reset | 57 | 38 | 13 | 0 | 3 | 3 | 0 | 0 | 195 | 134 | 61 | 85 | 0.746 | 195 | 348 | 543 | 0 | 4 | 85 | 47 | 60 | 3 | 2115 | 724 | 685 | 688 | 18 | 1660 | 496 | 515 | 1203 | 247 | 47 | 19.03% | 213 | 30 | 85.92% | 1 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 1442 | 1019 | 1278 | 412 | 712 | 363 | 58.7% | 9.2% | 91.9% | 101.1 | LUCKY | |
| Total | 57 | 38 | 13 | 0 | 3 | 3 | 0 | 0 | 195 | 134 | 61 | 85 | 0.746 | 195 | 348 | 543 | 0 | 4 | 85 | 47 | 60 | 3 | 2115 | 724 | 685 | 688 | 18 | 1660 | 496 | 515 | 1203 | 247 | 47 | 19.03% | 213 | 30 | 85.92% | 1 | 1161 | 2207 | 52.61% | 1000 | 1935 | 51.68% | 451 | 858 | 52.56% | 1442 | 1019 | 1278 | 412 | 712 | 363 | 58.7% | 9.2% | 91.9% | 101.1 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2207 |
| Neutral Zone Start | 858 |
| Defensive Zone Start | 1935 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2612 |
| Faceoffs Lost | 2388 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.7 | 9.57 |
| 2nd Period | 24.7 | 20.31 |
| 3rd Period | 36.8 | 30.68 |
| Overtime | 37.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.4 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 147 |
|---|---|
| PP Goal | 47 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 22 | 19 |
| Lost | 6 | 7 |
| Overtime Lost | 0 | 3 |
| PP Attempt | 247 |
|---|---|
| PP Goal | 47 |
| PK Attempt | 213 |
| PK Goal Against | 30 |
| Home | |
|---|---|
| Shots For | 37.1 |
| Shots Against | 29.1 |
| Goals For | 3.4 |
| Goals Against | 2.4 |
| Hits | 21.1 |
| Shots Blocked | 8.7 |
| Pim | 9.0 |
| 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 | |||||||||||
| 2025-12-14 | @ | Golden Knights2,Blue Jackets3 (OT) | RECAP | |||||||||||
| 2025-12-17 | @ | Ducks4,Blue Jackets2 | RECAP | |||||||||||
| 2025-12-19 | @ | Wild4,Blue Jackets6 | RECAP | |||||||||||
| 2025-12-21 | @ | Blue Jackets1,Ducks3 | RECAP | |||||||||||
| 2025-12-23 | @ | Blue Jackets1,Kings2 (OT) | RECAP | |||||||||||
| 2025-12-29 | @ | Islanders0,Blue Jackets2 | RECAP | |||||||||||
| 2025-12-30 | @ | Blue Jackets4,Senators3 | RECAP | |||||||||||
| 2026-01-01 | @ | Devils4,Blue Jackets3 | RECAP | |||||||||||
| 2026-01-04 | @ | Sabres5,Blue Jackets3 | RECAP | |||||||||||
| 2026-01-05 | @ | Penguins1,Blue Jackets3 | RECAP | |||||||||||
| 2026-01-07 | @ | Blue Jackets4,Sharks2 | RECAP | |||||||||||
| 2026-01-09 | @ | Blue Jackets3,Golden Knights2 | RECAP | |||||||||||
| 2026-01-11 | @ | Blue Jackets4,Avalanche2 | RECAP | |||||||||||
| 2026-01-12 | @ | Blue Jackets1,Mammoth2 | RECAP | |||||||||||
| 2026-01-14 | @ | Flames2,Blue Jackets4 | RECAP | |||||||||||
| 2026-01-16 | @ | Canucks4,Blue Jackets5 (OT) | RECAP | |||||||||||
| 2026-01-18 | @ | Blue Jackets2,Penguins3 (OT) | RECAP | |||||||||||
| 2026-01-21 | @ | Senators4,Blue Jackets5 | RECAP | |||||||||||
| 2026-01-23 | @ | Stars5,Blue Jackets1 | RECAP | |||||||||||
| 2026-01-25 | @ | Lightning0,Blue Jackets4 | RECAP | |||||||||||
| 2026-01-27 | @ | Kings4,Blue Jackets6 | RECAP | |||||||||||
| 2026-01-29 | @ | Flyers1,Blue Jackets2 | RECAP | |||||||||||
| 2026-01-31 | @ | Blue Jackets5,Blackhawks2 | RECAP | |||||||||||
| 2026-02-01 | @ | Blue Jackets2,Blues1 | RECAP | |||||||||||
| 2026-02-04 | @ | Blue Jackets4,Devils1 | RECAP | |||||||||||
| 2026-02-05 | @ | Blackhawks1,Blue Jackets3 | RECAP | |||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-01 | @ | |||||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-18 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-22 | @ | |||||||||||||
| 2026-03-23 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-03-30 | @ | |||||||||||||
| 2026-04-01 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
| 2026-04-05 | @ | |||||||||||||
| 2026-04-08 | @ | |||||||||||||
| 2026-04-10 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-13 | @ | |||||||||||||
| 2026-04-15 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,100,000$ | 0$ | 94,872,225$ | 1,400,000$ |
| 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 | 160461 | 133009 | 54310 | 108462 | 26465 |
| Attendance PCT | 95.51% | 95.01% | 96.98% | 96.84% | 94.52% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 13 | 17240 - 95.78% | 1,575,416$ | 44,111,652$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,100,000$ | 94,100,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 61,695,705$ | 490,104$ | 61,055,049$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 20,480,410$ | 69 | 495,312$ | 34,176,528$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 35,124,552$ | 94,100,000$ | 42,344,253$ | 27,700,111$ |
Rookie
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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 | ||||||||
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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) |
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| 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. |
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| 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 | |||||
| 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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