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Full Scoreboard »» |
| Montreal Canadiens 36-24-6, 78pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Robert Thomas | 18 | C/RW | 100.00 | 56 | 33 | 90 | 80 | 83 | 87 | 87 | 74 | 91 | 86 | 73 | 68 | 73 | 70 | 69 | 0 | 67 | 85 | 26 | 8,125,000$/7yrs | |||
Sean Monahan | 0 | C/LW/RW | 100.00 | 62 | 33 | 89 | 76 | 78 | 86 | 84 | 72 | 92 | 80 | 72 | 70 | 72 | 78 | 77 | 0 | 64 | 84 | 31 | 5,000,000$/4yrs | |||
Nikolaj Ehlers | 0 | LW/RW | 100.00 | 60 | 34 | 91 | 76 | 67 | 81 | 88 | 72 | 59 | 78 | 74 | 55 | 73 | 75 | 75 | 0 | 67 | 82 | 30 | 8,000,000$/8yrs | |||
Ivan Demidov (R) | 0 | C/RW | 100.00 | 60 | 33 | 83 | 77 | 76 | 80 | 73 | 72 | 55 | 80 | 73 | 54 | 72 | 58 | 56 | 0 | 65 | 81 | 20 | 975,000$/3yrs | |||
Alexandre Texier | 0 | C/LW/RW | 100.00 | 67 | 32 | 90 | 70 | 74 | 76 | 84 | 66 | 57 | 67 | 70 | 56 | 68 | 69 | 68 | 0 | 54 | 77 | 26 | 2,100,000$/1yrs | |||
Jake Evans | 0 | C | 100.00 | 73 | 32 | 91 | 61 | 73 | 80 | 90 | 61 | 86 | 65 | 65 | 74 | 63 | 75 | 74 | 0 | 67 | 76 | 29 | 2,850,000$/4yrs | |||
Josh Anderson | 0 | LW/RW | 100.00 | 80 | 42 | 64 | 63 | 87 | 79 | 90 | 62 | 62 | 60 | 67 | 76 | 65 | 78 | 75 | 0 | 64 | 76 | 31 | 5,500,000$/2yrs | |||
Morgan Frost | 48 | C/LW | 100.00 | 65 | 32 | 88 | 68 | 66 | 81 | 90 | 63 | 85 | 67 | 67 | 62 | 65 | 69 | 68 | 0 | 67 | 76 | 26 | 2,100,000$/1yrs | |||
Phillip Danault | 0 | C/LW | 99.00 | 68 | 33 | 90 | 63 | 79 | 83 | 89 | 60 | 87 | 71 | 58 | 74 | 59 | 80 | 79 | 0 | 68 | 76 | 33 | 5,000,000$/2yrs | |||
Zachary Bolduc | 0 | C/LW/RW | 100.00 | 71 | 35 | 84 | 69 | 73 | 77 | 80 | 63 | 59 | 64 | 71 | 59 | 67 | 62 | 60 | 0 | 72 | 76 | 23 | 863,333$/1yrs | |||
Kirby Dach | 0 | C/RW | 100.00 | 76 | 34 | 73 | 66 | 86 | 80 | 80 | 63 | 73 | 63 | 69 | 61 | 66 | 66 | 64 | 0 | 65 | 75 | 25 | 3,362,500$/1yrs | |||
Andrew Mangiapane | 0 | LW/RW | 100.00 | 66 | 32 | 87 | 62 | 70 | 77 | 90 | 60 | 59 | 62 | 65 | 57 | 62 | 75 | 73 | 0 | 69 | 73 | 29 | 3,600,000$/2yrs | |||
Noah Dobson | 8 | D | 100.00 | 63 | 33 | 84 | 70 | 80 | 93 | 88 | 63 | 30 | 74 | 66 | 72 | 65 | 69 | 67 | 0 | 68 | 81 | 26 | 9,500,000$/8yrs | |||
Joel Edmundson | 0 | D | 100.00 | 71 | 41 | 84 | 62 | 90 | 84 | 90 | 62 | 30 | 69 | 57 | 74 | 59 | 80 | 79 | 0 | 53 | 79 | 32 | 2,750,000$/1yrs | |||
Mikey Anderson | 0 | D | 98.00 | 73 | 33 | 88 | 59 | 76 | 91 | 89 | 62 | 30 | 64 | 59 | 78 | 60 | 70 | 68 | 0 | 67 | 77 | 26 | 4,125,000$/6yrs | |||
Artem Zub | 0 | D | 100.00 | 69 | 33 | 80 | 59 | 80 | 89 | 85 | 61 | 30 | 64 | 57 | 80 | 59 | 76 | 74 | 0 | 67 | 77 | 30 | 4,600,000$/2yrs | |||
Kaiden Guhle | 0 | D | 100.00 | 79 | 50 | 69 | 60 | 81 | 90 | 78 | 61 | 30 | 64 | 63 | 78 | 62 | 65 | 62 | 0 | 61 | 77 | 24 | 5,500,000$/6yrs | |||
Jordan Spence | 0 | D | 100.00 | 67 | 32 | 92 | 63 | 68 | 83 | 88 | 57 | 30 | 69 | 57 | 58 | 57 | 66 | 65 | 0 | 67 | 74 | 25 | 1,500,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Blake Lizotte | 0 | C/LW | 100.00 | 68 | 31 | 86 | 58 | 64 | 77 | 83 | 59 | 79 | 61 | 65 | 68 | 62 | 72 | 71 | 0 | 19 | 73 | 28 | 1,850,000$/1yrs | |||
Pierre Engvall | 12 | C/LW | 100.00 | 65 | 34 | 90 | 59 | 90 | 74 | 78 | 56 | 58 | 59 | 63 | 52 | 60 | 74 | 73 | 0 | 19 | 71 | 29 | 3,000,000$/5yrs | |||
Jayden Struble (R) | 0 | D | 100.00 | 80 | 44 | 66 | 59 | 78 | 79 | 83 | 52 | 30 | 63 | 54 | 60 | 53 | 65 | 62 | 0 | 20 | 71 | 24 | 1,410,000$/2yrs | |||
| TEAM AVERAGE | 99.86 | 69 | 35 | 84 | 66 | 77 | 82 | 85 | 63 | 58 | 68 | 65 | 66 | 64 | 71 | 69 | 0 | 59 | 77 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mackenzie Blackwood | 0 | 96.00 | 82 | 93 | 80 | 91 | 92 | 82 | 92 | 95 | 91 | 96 | 92 | 75 | 79 | 0 | 70 | 92 | 29 | 5,250,000$/5yrs |
Dan Vladar | 0 | 100.00 | 76 | 85 | 76 | 87 | 85 | 74 | 85 | 91 | 83 | 92 | 85 | 73 | 77 | 0 | 78 | 87 | 28 | 3,350,000$/2yrs |
| Scratches | ||||||||||||||||||||
Alex Nedeljkovic | 0 | 100.00 | 76 | 86 | 77 | 80 | 81 | 75 | 83 | 89 | 83 | 90 | 83 | 75 | 80 | 0 | 62 | 86 | 30 | 2,500,000$/2yrs |
| TEAM AVERAGE | 98.67 | 78 | 88 | 78 | 86 | 86 | 77 | 87 | 92 | 86 | 93 | 87 | 74 | 79 | 0 | 70 | 88 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sheldon Keefe | 82 | 89 | 85 | 78 | 72 | 88 | 83 | CAN | 43 | 4 | 1,000,000$ |
| General Manager | Fergy Ferg |
|---|
| 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 | Robert Thomas | 18 | C/RW | 66 | 16 | 48 | 64 | 11 | 14 | 0 | 77 | 251 | 77 | 173 | 6.37% | 13 | 20.58 | 4 | 23 | 27 | 260 | 0 | 0 | 0 | 41 | 3 | 2 | 53.57% | 1738 | 0 | 0 | 2 | 0 | 0.94 | 2 | 8 | |
| 2 | Sean Monahan | 0 | C/LW/RW | 66 | 22 | 25 | 47 | 9 | 33 | 5 | 91 | 204 | 63 | 151 | 10.78% | 9 | 19.86 | 7 | 8 | 15 | 258 | 0 | 0 | 0 | 0 | 6 | 1 | 47.71% | 109 | 0 | 0 | 0 | 1 | 0.72 | 1 | 8 | |
| 3 | Nikolaj Ehlers | 0 | LW/RW | 66 | 20 | 25 | 45 | 13 | 20 | 0 | 88 | 211 | 50 | 117 | 9.48% | 4 | 19.31 | 8 | 11 | 19 | 258 | 0 | 0 | 0 | 3 | 3 | 1 | 45.36% | 97 | 0 | 0 | 2 | 0 | 0.71 | 2 | 3 | |
| 4 | Morgan Frost | 48 | C/LW | 66 | 10 | 29 | 39 | 5 | 18 | 0 | 44 | 163 | 47 | 119 | 6.13% | 10 | 14.89 | 4 | 9 | 13 | 221 | 0 | 0 | 0 | 0 | 1 | 2 | 49.88% | 1295 | 0 | 0 | 0 | 0 | 0.79 | 0 | 5 | |
| 5 | Mikey Anderson | 0 | D | 66 | 9 | 27 | 36 | -2 | 76 | 0 | 126 | 113 | 41 | 67 | 7.96% | 103 | 24.04 | 6 | 8 | 14 | 213 | 0 | 0 | 0 | 149 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 6 | Noah Dobson | 8 | D | 66 | 10 | 23 | 33 | -7 | 25 | 5 | 33 | 143 | 40 | 67 | 6.99% | 71 | 21.51 | 7 | 10 | 17 | 268 | 0 | 0 | 0 | 37 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 1 | 1 | |
| 7 | Kaiden Guhle | 0 | D | 66 | 10 | 23 | 33 | 4 | 90 | 10 | 189 | 106 | 28 | 67 | 9.43% | 84 | 22.27 | 7 | 4 | 11 | 191 | 0 | 0 | 0 | 184 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 8 | Zachary Bolduc | 0 | C/LW/RW | 66 | 12 | 15 | 27 | -2 | 40 | 10 | 106 | 136 | 42 | 107 | 8.82% | 6 | 17.77 | 3 | 9 | 12 | 220 | 0 | 0 | 0 | 0 | 1 | 0 | 46.34% | 82 | 0 | 0 | 0 | 0 | 0.46 | 1 | 1 | |
| 9 | Ivan Demidov | 0 | C/RW | 45 | 8 | 19 | 27 | -6 | 12 | 0 | 35 | 96 | 30 | 107 | 8.33% | 3 | 18.09 | 3 | 11 | 14 | 161 | 0 | 0 | 0 | 0 | 2 | 2 | 30.00% | 70 | 0 | 0 | 0 | 0 | 0.66 | 1 | 2 | |
| 10 | Artem Zub | 0 | D | 66 | 10 | 16 | 26 | 14 | 36 | 0 | 104 | 67 | 16 | 31 | 14.93% | 85 | 19.31 | 2 | 0 | 2 | 21 | 0 | 0 | 0 | 205 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 11 | Joel Edmundson | 0 | D | 64 | 8 | 16 | 24 | 2 | 30 | 0 | 94 | 36 | 14 | 23 | 22.22% | 70 | 16.21 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 120 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 12 | Phillip Danault | 0 | C/LW | 66 | 10 | 10 | 20 | -5 | 29 | 5 | 55 | 129 | 30 | 94 | 7.75% | 21 | 16.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 0 | 2 | 50.96% | 1505 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 13 | Andrew Mangiapane | 0 | LW/RW | 66 | 8 | 4 | 12 | -1 | 34 | 10 | 28 | 64 | 18 | 48 | 12.50% | 8 | 10.61 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 82 | 3 | 0 | 45.24% | 42 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 14 | Jordan Spence | 0 | D | 66 | 1 | 9 | 10 | -6 | 22 | 0 | 49 | 40 | 12 | 32 | 2.50% | 62 | 21.52 | 0 | 2 | 2 | 264 | 0 | 0 | 0 | 195 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 15 | Alexandre Texier | 0 | C/LW/RW | 39 | 3 | 5 | 8 | -7 | 0 | 0 | 21 | 47 | 15 | 30 | 6.38% | 2 | 8.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 34.62% | 26 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 16 | Josh Anderson | 0 | LW/RW | 66 | 5 | 1 | 6 | -7 | 47 | 5 | 81 | 65 | 23 | 48 | 7.69% | 12 | 10.73 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 241 | 2 | 1 | 50.00% | 64 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 17 | Kirby Dach | 0 | C/RW | 63 | 0 | 6 | 6 | -4 | 16 | 0 | 50 | 55 | 17 | 29 | 0.00% | 5 | 8.35 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 39.55% | 311 | 0 | 0 | 0 | 0 | 0.23 | 0 | 2 | |
| 18 | Jake Evans | 0 | C | 66 | 2 | 2 | 4 | -7 | 0 | 0 | 22 | 69 | 15 | 50 | 2.90% | 13 | 8.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 0 | 1 | 51.18% | 297 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 19 | Pierre Engvall | 12 | C/LW | 21 | 2 | 1 | 3 | -3 | 0 | 0 | 0 | 12 | 4 | 8 | 16.67% | 2 | 8.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 26.67% | 15 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 20 | Blake Lizotte | 0 | C/LW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 4 | 0.00% | 0 | 6.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 22 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 21 | Jayden Struble | 0 | D | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 5 | 1 | 0 | 0 | 0.00% | 0 | 11.02 | 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 | 1162 | 166 | 304 | 470 | -1 | 544 | 50 | 1299 | 2008 | 582 | 1372 | 8.27% | 583 | 16.58 | 51 | 95 | 146 | 2355 | 0 | 0 | 0 | 1682 | 28 | 15 | 50.20% | 5673 | 0 | 0 | 4 | 1 | 0.49 | 8 | 30 |
| 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 | Mackenzie Blackwood | 54 | 28 | 21 | 5 | 0.922 | 2.40 | 3201 | 2 | 3 | 128 | 1643 | 0 | 4 | 0 | 0.778 | 27 | 54 | 12 | 4 | 9 | 4 | |
| 2 | Alex Nedeljkovic | 13 | 8 | 3 | 1 | 0.931 | 2.05 | 763 | 0 | 2 | 26 | 376 | 0 | 0 | 1 | 0.875 | 8 | 12 | 33 | 3 | 1 | 0 | |
| 3 | Dan Vladar | 1 | 0 | 0 | 0 | 0.870 | 5.00 | 36 | 0 | 0 | 3 | 23 | 0 | 0 | 0 | 0.000 | 0 | 0 | 21 | 0 | 0 | 0 | |
| Team Total or Average | 68 | 36 | 24 | 6 | 0.923 | 2.35 | 4001 | 2 | 5 | 157 | 2042 | 0 | 4 | 1 | 0.800 | 35 | 66 | 66 | 7 | 10 | 4 |
| Projected Total Cap Hit | 91,049,580$ |
| Projected Cap Space | 4,450,420$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 75,581,100$ |
| Players In Salary Cap | 24 |
| LTIR Players | 0 |
| Canadiens Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Nedeljkovic | G | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Alexandre Texier ![]() | C/LW/RW | 26 | 2,100,000$ | 2,100,000$ | |||||||
Andrew Mangiapane ![]() | LW/RW | 29 | 3,600,000$ | 3,600,000$ | 3,600,000$ | UFA | |||||
Artem Zub ![]() | D | 30 | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | |||||
Blake Lizotte ![]() | C/LW | 28 | 1,850,000$ | 1,850,000$ | |||||||
Dan Vladar ![]() | G | 28 | 3,350,000$ | 3,350,000$ | 3,350,000$ | UFA | |||||
Ivan Demidov | C/RW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jake Evans ![]() | C | 29 | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | UFA | |||
Jayden Struble ![]() | D | 24 | 1,410,000$ | 1,410,000$ | 1,410,000$ | RFA | |||||
Joel Edmundson ![]() | D | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Jordan Spence ![]() | D | 25 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Josh Anderson ![]() | LW/RW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Kaiden Guhle ![]() | D | 24 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |
Kirby Dach ![]() | C/RW | 25 | 3,362,500$ | 3,362,500$ | RFA | ||||||
| Mackenzie Blackwood | G | 29 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||
Mikey Anderson ![]() | D | 26 | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA | |
Morgan Frost ![]() | C/LW | 26 | 2,100,000$ | 2,100,000$ | |||||||
Nikolaj Ehlers ![]() | LW/RW | 30 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ |
Noah Dobson ![]() | D | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Phillip Danault ![]() | C/LW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Pierre Engvall ![]() | C/LW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||
Robert Thomas ![]() | C/RW | 26 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | UFA |
Sean Monahan ![]() | C/LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Zachary Bolduc | C/LW/RW | 23 | 863,333$ | 863,333$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Petrovic | D | 34 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Arturs Silovs | G | 24 | 850,000$ | 850,000$ | RFA | ||||||
Blake Hillman | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Brad Lambert | C/RW | 22 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
Brayden Tracey | LW | 24 | 0$ | RFA | |||||||
Cayden Primeau ![]() | G | 26 | 1,500,000$ | 1,500,000$ | |||||||
Christopher Merisier-Ortiz | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Colton White | D | 28 | 900,000$ | 900,000$ | UFA | ||||||
Elliot Desnoyers | LW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Gleb Trikozov | LW | 21 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Hunter Haight | C/LW/RW | 21 | 865,833$ | 865,833$ | 865,833$ | RFA | |||||
Jakub Skarek | G | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jan Mysak | C/LW | 23 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Jared Wright | RW | 23 | 0$ | RFA | |||||||
Jason Polin | RW | 26 | 900,000$ | 900,000$ | |||||||
Jeffrey Viel | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Joel Teasdale | LW | 27 | 775,000$ | 775,000$ | |||||||
Jonas Rondbjerg | RW | 26 | 775,000$ | 775,000$ | |||||||
Jorian Donovan | D | 21 | 796,666$ | 796,666$ | 796,666$ | RFA | |||||
Justin Bailey | LW/RW | 30 | 900,000$ | 900,000$ | UFA | ||||||
Justin Barron | D | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Justin Gill | C/LW/RW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Luca Pinelli | C | 20 | 0$ | RFA | |||||||
Luke Tuch | LW | 24 | 912,500$ | 912,500$ | RFA | ||||||
Marcel Marcel | LW | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Mattias Norlinder | D | 25 | 1,000,000$ | 1,000,000$ | |||||||
Michael Pezzetta | C/LW | 28 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | ||||
Olivier Rodrigue | G | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Rafael Harvey-Pinard | LW | 26 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Riley Kidney | C | 22 | 836,667$ | 836,667$ | RFA | ||||||
Samuel Knazko | D | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Scott Walford | D | 27 | 775,000$ | 775,000$ | |||||||
Sean Farrell | C | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Tobias Bjornfot | D | 24 | 875,000$ | 875,000$ | 875,000$ | ||||||
Travis Howe | LW/RW | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Yegor Afanasyev | LW | 25 | 800,000$ | 800,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 59 | 19 | 11 | 26 | 8 | 55 | 16 | 18 | 39 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 59 | 42 | 40 | 14 | 24 | 12 | 55.6% | 10.2% | 90.9% | 101.1 | FUN | |
| 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 63 | 17 | 27 | 19 | 0 | 48 | 13 | 8 | 38 | 10 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 48 | 33 | 47 | 15 | 24 | 12 | 22.2% | 3.2% | 85.4% | 88.6 | Unlucky | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 40 | 13 | 17 | 10 | 0 | 35 | 9 | 12 | 19 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 22 | 15 | 25 | 7 | 11 | 5 | 33.3% | 2.5% | 94.3% | 96.8 | DULL | |
| 4 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 6 | 6 | 0.750 | 15 | 25 | 40 | 0 | 0 | 8 | 3 | 4 | 0 | 129 | 51 | 40 | 38 | 0 | 124 | 33 | 37 | 74 | 19 | 4 | 21.05% | 15 | 2 | 86.67% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 99 | 71 | 91 | 27 | 48 | 23 | 61.1% | 11.6% | 92.7% | 104.4 | LUCKY | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 36 | 13 | 16 | 7 | 0 | 26 | 5 | 12 | 19 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 26 | 18 | 20 | 7 | 13 | 6 | 75.0% | 11.1% | 92.3% | 103.4 | LUCKY | |
| 6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 0 | 3 | 1 | 31 | 9 | 4 | 17 | 1 | 35 | 9 | 12 | 18 | 6 | 3 | 50.00% | 5 | 1 | 80.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 21 | 14 | 27 | 7 | 11 | 5 | 33.3% | 12.9% | 91.4% | 104.3 | LUCKY | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 1 | 1 | 1 | 4 | 0 | 61 | 17 | 8 | 36 | 0 | 69 | 15 | 12 | 36 | 11 | 3 | 27.27% | 5 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 50 | 36 | 44 | 14 | 24 | 13 | 33.3% | 9.8% | 91.3% | 101.1 | LUCKY | |
| 8 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 61 | 30 | 13 | 18 | 0 | 83 | 25 | 16 | 44 | 7 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 46 | 32 | 50 | 14 | 23 | 11 | 40.0% | 6.6% | 90.4% | 96.9 | Unlucky | |
| 9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 61 | 20 | 15 | 26 | 0 | 71 | 11 | 12 | 45 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 46 | 31 | 48 | 14 | 25 | 13 | 25.0% | 4.9% | 90.1% | 95.1 | Unlucky | |
| 10 | 3 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 13 | 9 | 4 | 6 | 1.000 | 13 | 20 | 33 | 0 | 0 | 4 | 2 | 5 | 3 | 117 | 46 | 27 | 35 | 14 | 100 | 26 | 16 | 62 | 9 | 2 | 22.22% | 8 | 4 | 50.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 88 | 67 | 65 | 20 | 36 | 18 | 68.8% | 11.1% | 91.0% | 102.1 | FUN | |
| 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 55 | 21 | 19 | 15 | 0 | 42 | 12 | 17 | 37 | 11 | 1 | 9.09% | 6 | 1 | 83.33% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 53 | 36 | 40 | 14 | 25 | 14 | 50.0% | 9.1% | 88.1% | 97.2 | FUN | |
| 12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 1 | 3 | 4 | 0 | 64 | 21 | 21 | 22 | 0 | 38 | 16 | 10 | 30 | 9 | 2 | 22.22% | 4 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 54 | 38 | 40 | 14 | 24 | 13 | 85.7% | 12.5% | 97.4% | 109.9 | LUCKY | |
| 13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 63 | 24 | 20 | 19 | 0 | 82 | 17 | 17 | 45 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 44 | 29 | 49 | 14 | 25 | 12 | 27.3% | 6.3% | 87.8% | 94.2 | Unlucky | |
| 14 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 40 | 13 | 14 | 10 | 6 | 32 | 9 | 10 | 18 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 27 | 19 | 24 | 8 | 12 | 6 | 66.7% | 5.0% | 96.9% | 101.9 | DULL | |
| 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 0 | 5 | 1 | 0 | 54 | 11 | 20 | 23 | 0 | 53 | 14 | 10 | 38 | 9 | 3 | 33.33% | 5 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 50 | 35 | 42 | 14 | 26 | 13 | 50.0% | 11.1% | 94.3% | 105.5 | LUCKY | |
| 16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 54 | 15 | 20 | 19 | 0 | 58 | 17 | 12 | 48 | 8 | 1 | 12.50% | 6 | 4 | 33.33% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 49 | 34 | 46 | 14 | 24 | 11 | 25.0% | 3.7% | 87.9% | 91.6 | Unlucky | |
| 17 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 3 | 50 | 14 | 13 | 18 | 11 | 67 | 17 | 25 | 36 | 5 | 2 | 40.00% | 10 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 43 | 30 | 56 | 16 | 25 | 11 | 57.1% | 12.0% | 95.5% | 107.5 | LUCKY | |
| 18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 57 | 22 | 16 | 19 | 0 | 71 | 24 | 18 | 46 | 11 | 2 | 18.18% | 8 | 2 | 75.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 48 | 33 | 47 | 14 | 24 | 12 | 25.0% | 7.0% | 88.7% | 95.7 | Unlucky | |
| 19 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 2 | 3 | 0 | 2 | 90 | 23 | 37 | 27 | 10 | 116 | 16 | 78 | 54 | 12 | 3 | 25.00% | 15 | 1 | 93.33% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 72 | 50 | 74 | 22 | 37 | 18 | 42.9% | 6.7% | 95.7% | 102.4 | DULL | |
| 20 | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 10 | 10 | 0 | 5 | 0.625 | 10 | 18 | 28 | 0 | 0 | 3 | 2 | 4 | 1 | 112 | 31 | 34 | 45 | 2 | 136 | 43 | 38 | 84 | 12 | 1 | 8.33% | 17 | 5 | 70.59% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 90 | 61 | 100 | 31 | 53 | 25 | 64.3% | 8.9% | 92.6% | 101.6 | Unlucky | |
| 21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 2 | 1 | 3 | 0 | 65 | 12 | 25 | 28 | 0 | 37 | 20 | 20 | 27 | 11 | 3 | 27.27% | 8 | 1 | 87.50% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 51 | 36 | 44 | 15 | 24 | 12 | 75.0% | 9.2% | 94.6% | 103.8 | LUCKY | |
| 22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 76 | 25 | 31 | 20 | 0 | 36 | 12 | 23 | 49 | 10 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 55 | 40 | 39 | 13 | 24 | 13 | 50.0% | 3.9% | 88.9% | 92.8 | Unlucky | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 27 | 8 | 8 | 11 | 0 | 36 | 13 | 12 | 20 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 21 | 13 | 25 | 7 | 12 | 5 | 33.3% | 3.7% | 91.7% | 95.4 | DULL | |
| 24 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 1 | 2 | 1 | 82 | 38 | 20 | 23 | 1 | 52 | 15 | 18 | 48 | 13 | 3 | 23.08% | 9 | 0 | 100.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 54 | 38 | 41 | 13 | 25 | 13 | 62.5% | 9.8% | 94.2% | 104.0 | LUCKY | |
| 25 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 1 | 63 | 21 | 20 | 17 | 9 | 69 | 17 | 16 | 36 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 49 | 36 | 52 | 14 | 23 | 11 | 33.3% | 4.8% | 92.8% | 97.5 | DULL | |
| 26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 5 | 1 | 2 | 0 | 52 | 18 | 14 | 20 | 0 | 65 | 18 | 14 | 37 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 43 | 30 | 50 | 15 | 25 | 12 | 66.7% | 15.4% | 93.8% | 109.2 | LUCKY | |
| 27 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 0 | 0 | 3 | 0 | 115 | 43 | 37 | 35 | 0 | 137 | 52 | 33 | 86 | 17 | 2 | 11.76% | 14 | 4 | 71.43% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 87 | 57 | 103 | 30 | 49 | 24 | 12.5% | 2.6% | 92.0% | 94.6 | DULL | |
| 28 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 6 | 1.000 | 9 | 14 | 23 | 0 | 1 | 4 | 0 | 4 | 2 | 81 | 29 | 21 | 29 | 7 | 82 | 32 | 30 | 52 | 9 | 1 | 11.11% | 14 | 1 | 92.86% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 72 | 48 | 76 | 22 | 36 | 17 | 72.7% | 11.1% | 95.1% | 106.2 | LUCKY | |
| 29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 62 | 16 | 27 | 18 | 1 | 79 | 17 | 22 | 49 | 7 | 2 | 28.57% | 10 | 5 | 50.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 43 | 29 | 52 | 16 | 25 | 11 | 80.0% | 9.7% | 92.4% | 102.1 | LUCKY | |
| 30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 2 | 0 | 0 | 61 | 25 | 18 | 18 | 0 | 62 | 24 | 14 | 51 | 13 | 3 | 23.08% | 7 | 3 | 57.14% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 49 | 33 | 46 | 14 | 24 | 12 | 50.0% | 8.2% | 91.9% | 100.1 | DULL | |
| 31 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 6 | 3 | 0 | 0 | 85 | 30 | 30 | 25 | 0 | 47 | 7 | 10 | 38 | 11 | 4 | 36.36% | 4 | 1 | 75.00% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 57 | 42 | 36 | 13 | 25 | 14 | 83.3% | 10.6% | 95.7% | 106.3 | LUCKY | |
| _Vs Division | 21 | 8 | 10 | 0 | 1 | 1 | 1 | 0 | 46 | 49 | -3 | 21 | 0.500 | 46 | 80 | 126 | 1 | 1 | 14 | 16 | 14 | 3 | 637 | 204 | 214 | 214 | 12 | 673 | 181 | 231 | 430 | 89 | 14 | 15.73% | 76 | 14 | 81.58% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 502 | 348 | 500 | 154 | 265 | 131 | 47.8% | 7.2% | 92.7% | 99.9 | DULL | |
| _Vs Conference | 35 | 12 | 15 | 0 | 2 | 2 | 4 | 0 | 84 | 87 | -3 | 38 | 0.543 | 84 | 144 | 228 | 1 | 2 | 26 | 22 | 30 | 9 | 1093 | 369 | 347 | 360 | 34 | 1118 | 313 | 349 | 702 | 141 | 21 | 14.89% | 131 | 24 | 81.68% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 849 | 592 | 840 | 257 | 436 | 215 | 50.0% | 7.7% | 92.2% | 99.9 | DULL | |
| _Since Last GM Reset | 66 | 27 | 24 | 0 | 3 | 4 | 6 | 2 | 172 | 160 | 12 | 78 | 0.591 | 172 | 304 | 476 | 1 | 5 | 64 | 44 | 55 | 15 | 2066 | 695 | 643 | 693 | 70 | 2043 | 574 | 602 | 1323 | 283 | 52 | 18.37% | 243 | 46 | 81.07% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 1631 | 1140 | 1554 | 484 | 823 | 413 | 51.3% | 8.3% | 92.2% | 100.5 | DULL | |
| Total | 66 | 27 | 24 | 0 | 3 | 4 | 6 | 2 | 172 | 160 | 12 | 78 | 0.591 | 172 | 304 | 476 | 1 | 5 | 64 | 44 | 55 | 15 | 2066 | 695 | 643 | 693 | 70 | 2043 | 574 | 602 | 1323 | 283 | 52 | 18.37% | 243 | 46 | 81.07% | 0 | 1226 | 2365 | 51.84% | 1160 | 2335 | 49.68% | 482 | 960 | 50.21% | 1631 | 1140 | 1554 | 484 | 823 | 413 | 51.3% | 8.3% | 92.2% | 100.5 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2365 |
| Neutral Zone Start | 960 |
| Defensive Zone Start | 2335 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2868 |
| Faceoffs Lost | 2792 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.5 | 9.57 |
| 2nd Period | 20.3 | 20.31 |
| 3rd Period | 30.8 | 30.68 |
| Overtime | 31.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 119 |
|---|---|
| PP Goal | 52 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 20 | 16 |
| Lost | 12 | 12 |
| Overtime Lost | 1 | 5 |
| PP Attempt | 283 |
|---|---|
| PP Goal | 52 |
| PK Attempt | 243 |
| PK Goal Against | 46 |
| Home | |
|---|---|
| Shots For | 31.3 |
| Shots Against | 31.0 |
| Goals For | 2.6 |
| Goals Against | 2.4 |
| Hits | 20.0 |
| Shots Blocked | 8.7 |
| Pim | 9.1 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Canadiens0,Maple Leafs4 | RECAP | |||||||||||
| 2025-10-10 | @ | Canadiens1,Red Wings4 | RECAP | |||||||||||
| 2025-10-12 | @ | Canadiens3,Blackhawks2 | RECAP | |||||||||||
| 2025-10-15 | @ | Kraken1,Canadiens7 | RECAP | |||||||||||
| 2025-10-17 | @ | Predators1,Canadiens2 (SO) | RECAP | |||||||||||
| 2025-10-19 | @ | Rangers4,Canadiens1 | RECAP | |||||||||||
| 2025-10-21 | @ | Sabres2,Canadiens1 | RECAP | |||||||||||
| 2025-10-23 | @ | Canadiens2,Flames3 (SO) | RECAP | |||||||||||
| 2025-10-24 | @ | Canadiens1,Oilers2 | RECAP | |||||||||||
| 2025-10-26 | @ | Canadiens3,Canucks1 | RECAP | |||||||||||
| 2025-10-29 | @ | Canadiens2,Kraken1 | RECAP | |||||||||||
| 2025-11-02 | @ | Senators1,Canadiens4 | RECAP | |||||||||||
| 2025-11-05 | @ | Flyers3,Canadiens2 | RECAP | |||||||||||
| 2025-11-07 | @ | Canadiens1,Devils2 | RECAP | |||||||||||
| 2025-11-09 | @ | Mammoth5,Canadiens2 | RECAP | |||||||||||
| 2025-11-12 | @ | Kings3,Canadiens2 | RECAP | |||||||||||
| 2025-11-14 | @ | Stars2,Canadiens4 | RECAP | |||||||||||
| 2025-11-16 | @ | Bruins1,Canadiens2 (SO) | RECAP | |||||||||||
| 2025-11-18 | @ | Canadiens1,Blue Jackets3 | RECAP | |||||||||||
| 2025-11-21 | @ | Capitals2,Canadiens3 (SO) | RECAP | |||||||||||
| 2025-11-23 | @ | Maple Leafs4,Canadiens2 | RECAP | |||||||||||
| 2025-11-27 | @ | Canadiens2,Mammoth3 | RECAP | |||||||||||
| 2025-11-29 | @ | Canadiens2,Golden Knights3 | RECAP | |||||||||||
| 2025-11-30 | @ | Canadiens4,Avalanche0 | RECAP | |||||||||||
| 2025-12-03 | @ | Senators1,Canadiens4 | RECAP | |||||||||||
| 2025-12-04 | @ | Jets2,Canadiens6 | RECAP | |||||||||||
| 2025-12-07 | @ | Canadiens1,Maple Leafs2 | RECAP | |||||||||||
| 2025-12-08 | @ | Blues2,Canadiens3 (SO) | RECAP | |||||||||||
| 2025-12-10 | @ | Lightning1,Canadiens3 | RECAP | |||||||||||
| 2025-12-12 | @ | Canadiens2,Penguins0 | RECAP | |||||||||||
| 2025-12-14 | @ | Canadiens3,Rangers4 (OT) | RECAP | |||||||||||
| 2025-12-15 | @ | Oilers5,Canadiens1 | RECAP | |||||||||||
| 2025-12-17 | @ | Flyers4,Canadiens0 | RECAP | |||||||||||
| 2025-12-19 | @ | Blackhawks0,Canadiens3 | RECAP | |||||||||||
| 2025-12-21 | @ | Penguins3,Canadiens5 | RECAP | |||||||||||
| 2025-12-22 | @ | Canadiens2,Penguins1 (SO) | RECAP | |||||||||||
| 2025-12-24 | @ | Canadiens2,Bruins1 | RECAP | |||||||||||
| 2025-12-29 | @ | Canadiens3,Lightning2 | RECAP | |||||||||||
| 2025-12-31 | @ | Canadiens1,Panthers4 | RECAP | |||||||||||
| 2026-01-02 | @ | Canadiens4,Hurricanes3 (OT) | RECAP | |||||||||||
| 2026-01-04 | @ | Canadiens3,Blues1 | RECAP | |||||||||||
| 2026-01-05 | @ | Canadiens4,Stars2 | RECAP | |||||||||||
| 2026-01-08 | @ | Flames2,Canadiens4 | RECAP | |||||||||||
| 2026-01-09 | @ | Panthers0,Canadiens2 | RECAP | |||||||||||
| 2026-01-11 | @ | Red Wings3,Canadiens2 | RECAP | |||||||||||
| 2026-01-13 | @ | Canucks0,Canadiens5 | RECAP | |||||||||||
| 2026-01-14 | @ | Canadiens5,Capitals4 (SO) | RECAP | |||||||||||
| 2026-01-16 | @ | Canadiens3,Sabres2 (OT) | RECAP | |||||||||||
| 2026-01-18 | @ | Canadiens4,Senators2 | RECAP | |||||||||||
| 2026-01-21 | @ | Wild3,Canadiens1 | RECAP | |||||||||||
| 2026-01-23 | @ | Sabres2,Canadiens3 | RECAP | |||||||||||
| 2026-01-25 | @ | Canadiens2,Bruins3 | RECAP | |||||||||||
| 2026-01-28 | @ | Golden Knights2,Canadiens3 | RECAP | |||||||||||
| 2026-01-30 | @ | Avalanche6,Canadiens2 | RECAP | |||||||||||
| 2026-02-01 | @ | Canadiens3,Sabres4 (OT) | RECAP | |||||||||||
| 2026-02-03 | @ | Canadiens4,Wild2 | RECAP | |||||||||||
| 2026-02-05 | @ | Canadiens2,Jets1 (OT) | RECAP | |||||||||||
| 2026-02-27 | @ | Islanders2,Canadiens4 | RECAP | |||||||||||
| 2026-03-01 | @ | Capitals3,Canadiens5 | RECAP | |||||||||||
| 2026-03-04 | @ | Canadiens1,Sharks2 (OT) | RECAP | |||||||||||
| 2026-03-07 | @ | Canadiens2,Ducks3 (SO) | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | Canadiens2,Kings7 | RECAP | |||||||||||
| 2026-03-11 | @ | Maple Leafs1,Canadiens0 | RECAP | |||||||||||
| 2026-03-12 | @ | Canadiens3,Senators5 | RECAP | |||||||||||
| 2026-03-15 | @ | Sharks4,Canadiens5 | RECAP | |||||||||||
| 2026-03-16 | @ | Ducks2,Canadiens1 (OT) | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 92,810,833$ | 0$ | 91,049,580$ | 2,689,167$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Bell Centre | |
| City | Montreal | ||
| 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 | 188670 | 158305 | 62806 | 125743 | 31210 |
| Attendance PCT | 95.29% | 95.94% | 95.16% | 95.26% | 94.58% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 8 | 17174 - 95.41% | 1,573,752$ | 51,933,811$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 92,810,833$ | 92,810,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 76,414,471$ | 483,390$ | 75,581,100$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 12,590,015$ | 32 | 488,598$ | 15,635,136$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 15,966,636$ | 92,810,833$ | 45,685,683$ | 42,309,062$ |
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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| 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. |
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| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Albert Lyckasen | |||||
| Andrew MacNiel | 2025 | 166 | |||
| Charlie Paquette | 2025 | 161 | |||
| Daniil Sobolev | 2021 | 136 | |||
| Eli Barnett | 2022 | 210 | |||
| Gabe Smith | 2024 | 97 | |||
| Harrison Meneghin | 2024 | 193 | |||
| Joni Ikonen | 2017 | 58 | 7.0 - 7.0 | ||
| Josh Nodler | 2019 | 161 | |||
| Justin Poirier | 2024 | 48 | |||
| Linus Funck | 2025 | 140 | |||
| Louka Cloutier | 2024 | 129 | |||
| Lukas Fischer | 2024 | 76 | |||
| Luke Toporowski | 2019 | 206 | |||
| Marcel Barinka | 2019 | 204 | 6.0 - 7.0 | ||
| Matthew Mayich | 2023 | 197 | |||
| Matvei Guskov | 2019 | 130 | 5.0 - 4.0 | ||
| Miguel Tourigny | 2022 | 148 | |||
| Mikus Vecvanags | 2024 | 122 | |||
| Nikita Popugayev | 6.5 - 5.8 | ||||
| Nolan Collins | 2022 | 175 | |||
| Sam Harris | 2023 | 124 | |||
| Samuel Meloche | 2025 | 129 | |||
| Sergei Ivanov | 2022 | 176 | |||
| Spencer Gill | 2024 | 62 | |||
| Trenten Bennett | 2025 | 102 | |||
| Vincent Desjardins | 2025 | 198 | |||
| Xavier Veilleux | 2024 | 161 | |||
| Zachary Bouthillier |
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