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Full Scoreboard »» |
| Vegas Golden Knights 31-25-11, 73pts · 10th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sidney Crosby (C) | 0 | C | 100.00 | 66 | 35 | 75 | 82 | 76 | 86 | 90 | 81 | 94 | 80 | 89 | 57 | 85 | 91 | 99 | 0 | 64 | 90 | 38 | 8,700,000$/2yrs | |||
Ryan Nugent-Hopkins | 0 | C/LW | 100.00 | 60 | 41 | 83 | 80 | 76 | 85 | 87 | 78 | 75 | 84 | 78 | 67 | 78 | 81 | 79 | 0 | 71 | 87 | 32 | 5,125,000$/4yrs | |||
Bryan Rust | 0 | RW | 100.00 | 64 | 32 | 89 | 77 | 74 | 88 | 87 | 75 | 60 | 76 | 82 | 72 | 79 | 82 | 81 | 0 | 41 | 86 | 33 | 5,125,000$/3yrs | |||
Mika Zibanejad | 0 | C/RW | 100.00 | 74 | 33 | 95 | 75 | 80 | 88 | 90 | 72 | 85 | 77 | 78 | 77 | 75 | 81 | 80 | 0 | 59 | 86 | 32 | 8,500,000$/3yrs | |||
Vincent Trocheck | 0 | C/RW | 100.00 | 91 | 32 | 76 | 73 | 71 | 88 | 85 | 71 | 90 | 77 | 75 | 80 | 73 | 81 | 78 | 0 | 67 | 85 | 32 | 6,000,000$/3yrs | |||
Kiefer Sherwood | 0 | C/LW/RW | 100.00 | 99 | 33 | 82 | 69 | 75 | 83 | 90 | 66 | 59 | 58 | 81 | 78 | 74 | 77 | 75 | 0 | 44 | 81 | 30 | 1,000,000$/2yrs | |||
Chandler Stephenson | 0 | C/LW | 100.00 | 59 | 33 | 90 | 70 | 80 | 87 | 89 | 68 | 90 | 75 | 68 | 76 | 68 | 79 | 78 | 0 | 75 | 81 | 31 | 5,500,000$/5yrs | |||
Yanni Gourde | 0 | C/LW/RW | 100.00 | 76 | 42 | 71 | 63 | 65 | 82 | 85 | 63 | 80 | 70 | 63 | 71 | 63 | 83 | 80 | 0 | 71 | 77 | 34 | 2,333,333$/6yrs | |||
Justin Danforth | 0 | C/RW | 100.00 | 79 | 32 | 89 | 60 | 71 | 78 | 79 | 60 | 82 | 63 | 64 | 76 | 62 | 80 | 79 | 0 | 67 | 76 | 32 | 1,275,000$/1yrs | |||
Adam Henrique | 0 | C/LW | 100.00 | 64 | 33 | 91 | 59 | 76 | 79 | 90 | 58 | 85 | 63 | 62 | 80 | 60 | 86 | 85 | 0 | 23 | 75 | 36 | 4,000,000$/2yrs | |||
Teddy Blueger | 0 | C/LW | 100.00 | 71 | 35 | 84 | 62 | 72 | 79 | 83 | 59 | 83 | 64 | 61 | 75 | 60 | 78 | 76 | 0 | 30 | 75 | 31 | 2,750,000$/4yrs | |||
Beck Malenstyn | 0 | C/LW/RW | 100.00 | 93 | 33 | 81 | 55 | 81 | 74 | 90 | 55 | 58 | 57 | 59 | 82 | 57 | 72 | 70 | 0 | 50 | 73 | 28 | 1,350,000$/1yrs | |||
Adam Fox (A) | 0 | D | 100.00 | 62 | 32 | 87 | 86 | 70 | 93 | 84 | 75 | 30 | 90 | 63 | 71 | 69 | 72 | 71 | 0 | 59 | 90 | 28 | 9,500,000$/4yrs | |||
Victor Hedman | 0 | D | 100.00 | 60 | 35 | 88 | 76 | 99 | 89 | 76 | 69 | 30 | 83 | 50 | 76 | 60 | 85 | 89 | 0 | 48 | 86 | 35 | 8,000,000$/4yrs | |||
Jake Walman | 0 | D | 100.00 | 65 | 33 | 79 | 74 | 85 | 92 | 82 | 68 | 30 | 76 | 63 | 81 | 66 | 76 | 74 | 0 | 69 | 85 | 30 | 3,000,000$/2yrs | |||
Roman Josi | 0 | D | 100.00 | 63 | 33 | 85 | 72 | 79 | 95 | 82 | 67 | 30 | 78 | 67 | 72 | 67 | 86 | 98 | 0 | 57 | 85 | 35 | 9,000,000$/3yrs | |||
Josh Manson | 0 | D | 100.00 | 83 | 55 | 57 | 63 | 87 | 84 | 90 | 63 | 30 | 70 | 60 | 77 | 62 | 83 | 79 | 0 | 43 | 80 | 34 | 4,800,000$/2yrs | |||
Tyler Myers | 0 | D | 100.00 | 71 | 35 | 73 | 55 | 96 | 87 | 90 | 61 | 30 | 62 | 54 | 85 | 57 | 86 | 83 | 0 | 48 | 77 | 36 | 2,850,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Filip Zadina | 0 | LW/RW | 100.00 | 65 | 32 | 91 | 64 | 74 | 78 | 76 | 62 | 58 | 60 | 67 | 62 | 65 | 67 | 66 | 0 | 19 | 74 | 26 | 1,275,000$/1yrs | |||
Jakub Vrana | 0 | LW/RW | 100.00 | 61 | 32 | 91 | 64 | 74 | 72 | 73 | 60 | 59 | 60 | 70 | 53 | 65 | 75 | 74 | 0 | 20 | 74 | 30 | 5,800,000$/1yrs | |||
Jonathan Dahlen | 0 | LW | 100.00 | 57 | 32 | 93 | 70 | 70 | 78 | 60 | 68 | 55 | 60 | 62 | 66 | 70 | 68 | 67 | 0 | 19 | 74 | 28 | ||||
Tim Washe | 0 | C/LW | 100.00 | 61 | 40 | 89 | 63 | 86 | 69 | 71 | 61 | 63 | 62 | 64 | 62 | 63 | 61 | 60 | 0 | 19 | 72 | 24 | 812,500$/2yrs | |||
Jesse Ylonen | 0 | LW/RW | 100.00 | 62 | 39 | 88 | 58 | 77 | 66 | 81 | 62 | 43 | 60 | 56 | 65 | 58 | 65 | 63 | 0 | 19 | 70 | 26 | ||||
Charles-Edouard D'Astous | 0 | D | 100.00 | 77 | 41 | 63 | 59 | 78 | 62 | 67 | 57 | 30 | 63 | 56 | 66 | 60 | 65 | 70 | 0 | 40 | 73 | 27 | 775,000$/1yrs | |||
| TEAM AVERAGE | 100.00 | 70 | 36 | 83 | 68 | 78 | 82 | 82 | 66 | 60 | 70 | 66 | 72 | 67 | 78 | 77 | 0 | 47 | 80 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Hellebuyck | 0 | 100.00 | 88 | 95 | 83 | 85 | 95 | 84 | 94 | 94 | 93 | 96 | 94 | 81 | 85 | 0 | 49 | 94 | 32 | 7,500,000$/4yrs |
Anton Forsberg | 0 | 100.00 | 79 | 81 | 75 | 79 | 83 | 75 | 83 | 87 | 82 | 87 | 83 | 81 | 85 | 0 | 73 | 85 | 33 | 1,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 84 | 88 | 79 | 82 | 89 | 80 | 89 | 91 | 88 | 92 | 89 | 81 | 85 | 0 | 61 | 90 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Andre Tourigny | 71 | 81 | 81 | 83 | 70 | 75 | 64 | CAN | 61 | 4 | 1,000,000$ |
| General Manager | Julien-Raphael Leblanc |
|---|
| 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 | Vincent Trocheck | 0 | C/RW | 67 | 26 | 33 | 59 | 7 | 52 | 0 | 179 | 227 | 57 | 176 | 11.45% | 27 | 19.01 | 10 | 15 | 25 | 225 | 0 | 2 | 2 | 210 | 5 | 0 | 54.68% | 1708 | 0 | 0 | 0 | 1 | 0.93 | 0 | 0 | |
| 2 | Sidney Crosby | 0 | C | 68 | 22 | 35 | 57 | -4 | 37 | 5 | 110 | 249 | 93 | 204 | 8.84% | 9 | 20.14 | 10 | 12 | 22 | 248 | 0 | 0 | 0 | 7 | 4 | 0 | 55.89% | 1739 | 0 | 0 | 1 | 0 | 0.83 | 0 | 1 | |
| 3 | Ryan Nugent-Hopkins | 0 | C/LW | 69 | 25 | 29 | 54 | 8 | 35 | 5 | 54 | 208 | 49 | 172 | 12.02% | 16 | 18.96 | 3 | 10 | 13 | 243 | 0 | 0 | 0 | 1 | 3 | 3 | 48.35% | 273 | 0 | 0 | 0 | 0 | 0.83 | 1 | 1 | |
| 4 | Chandler Stephenson | 0 | C/LW | 68 | 19 | 31 | 50 | 6 | 2 | 0 | 18 | 168 | 45 | 132 | 11.31% | 10 | 15.45 | 5 | 7 | 12 | 146 | 0 | 0 | 0 | 112 | 2 | 0 | 54.12% | 1299 | 0 | 0 | 0 | 1 | 0.95 | 0 | 0 | |
| 5 | Mika Zibanejad | 0 | C/RW | 66 | 23 | 27 | 50 | 11 | 16 | 0 | 41 | 232 | 63 | 171 | 9.91% | 4 | 18.42 | 6 | 10 | 16 | 234 | 0 | 0 | 0 | 0 | 5 | 1 | 50.28% | 179 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | |
| 6 | Adam Fox | 0 | D | 66 | 4 | 45 | 49 | -1 | 46 | 0 | 82 | 111 | 35 | 77 | 3.60% | 74 | 24.19 | 3 | 14 | 17 | 267 | 0 | 1 | 1 | 76 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 7 | Bryan Rust | 0 | RW | 68 | 16 | 22 | 38 | -5 | 32 | 0 | 83 | 215 | 70 | 160 | 7.44% | 17 | 19.96 | 4 | 6 | 10 | 239 | 0 | 0 | 0 | 43 | 3 | 1 | 38.54% | 96 | 0 | 0 | 0 | 0 | 0.56 | 2 | 3 | |
| 8 | Jake Walman | 0 | D | 68 | 8 | 30 | 38 | -12 | 38 | 0 | 111 | 110 | 45 | 64 | 7.27% | 100 | 23.73 | 4 | 14 | 18 | 221 | 0 | 1 | 1 | 232 | 3 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.47 | 0 | 0 | |
| 9 | Adam Henrique | 0 | C/LW | 63 | 8 | 26 | 34 | -10 | 16 | 0 | 70 | 169 | 48 | 115 | 4.73% | 30 | 18.46 | 1 | 9 | 10 | 180 | 1 | 1 | 2 | 240 | 1 | 2 | 53.14% | 1257 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | |
| 10 | Roman Josi | 0 | D | 68 | 4 | 24 | 28 | 1 | 32 | 0 | 47 | 90 | 31 | 60 | 4.44% | 74 | 21.36 | 2 | 5 | 7 | 235 | 1 | 0 | 1 | 129 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 11 | Victor Hedman | 0 | D | 63 | 4 | 20 | 24 | -18 | 62 | 10 | 95 | 91 | 24 | 60 | 4.40% | 78 | 23.65 | 2 | 7 | 9 | 237 | 0 | 1 | 1 | 172 | 2 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.32 | 1 | 2 | |
| 12 | Tyler Myers | 0 | D | 67 | 3 | 19 | 22 | 9 | 63 | 5 | 143 | 60 | 10 | 49 | 5.00% | 81 | 19.35 | 0 | 2 | 2 | 80 | 0 | 1 | 1 | 223 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 13 | Teddy Blueger | 0 | C/LW | 65 | 7 | 13 | 20 | -9 | 24 | 0 | 61 | 97 | 29 | 105 | 7.22% | 8 | 12.38 | 0 | 7 | 7 | 186 | 0 | 0 | 0 | 143 | 1 | 0 | 52.75% | 582 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 14 | Josh Manson | 0 | D | 69 | 3 | 15 | 18 | -2 | 115 | 15 | 181 | 56 | 23 | 41 | 5.36% | 84 | 18.34 | 1 | 3 | 4 | 62 | 0 | 1 | 1 | 176 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 15 | Yanni Gourde | 0 | C/LW/RW | 68 | 7 | 10 | 17 | 2 | 39 | 5 | 74 | 90 | 21 | 59 | 7.78% | 9 | 11.54 | 0 | 0 | 0 | 23 | 2 | 0 | 2 | 111 | 2 | 0 | 38.60% | 57 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 16 | Kiefer Sherwood | 0 | C/LW/RW | 68 | 9 | 4 | 13 | 3 | 42 | 0 | 144 | 104 | 18 | 65 | 8.65% | 16 | 13.70 | 0 | 1 | 1 | 38 | 0 | 0 | 0 | 191 | 2 | 0 | 39.83% | 118 | 0 | 0 | 0 | 0 | 0.28 | 0 | 1 | |
| 17 | Justin Danforth | 0 | C/RW | 70 | 7 | 3 | 10 | -4 | 16 | 0 | 28 | 62 | 17 | 28 | 11.29% | 3 | 7.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 2 | 0 | 44.44% | 27 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 18 | Beck Malenstyn | 0 | C/LW/RW | 66 | 2 | 6 | 8 | -8 | 34 | 0 | 74 | 66 | 23 | 64 | 3.03% | 20 | 9.31 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 85 | 1 | 0 | 41.81% | 287 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 19 | Tim Washe | 0 | C/LW | 14 | 2 | 0 | 2 | -8 | 0 | 0 | 2 | 9 | 4 | 13 | 22.22% | 4 | 10.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 73.68% | 19 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 20 | Charles-Edouard D'Astous | 0 | D | 15 | 0 | 1 | 1 | -3 | 25 | 5 | 33 | 5 | 0 | 4 | 0.00% | 12 | 13.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
| Team Total or Average | 1236 | 199 | 393 | 592 | -37 | 726 | 50 | 1630 | 2419 | 705 | 1819 | 8.23% | 676 | 17.38 | 51 | 122 | 173 | 2897 | 4 | 8 | 12 | 2244 | 38 | 9 | 53.11% | 7641 | 0 | 0 | 3 | 2 | 0.55 | 4 | 9 |
| 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 | Connor Hellebuyck | 50 | 25 | 18 | 7 | 0.906 | 2.66 | 2914 | 4 | 2 | 129 | 1376 | 0 | 1 | 1 | 1.000 | 3 | 50 | 17 | 3 | 4 | 3 | |
| 2 | Anton Forsberg | 23 | 10 | 6 | 3 | 0.918 | 2.29 | 1284 | 0 | 1 | 49 | 595 | 0 | 0 | 1 | 0.333 | 3 | 19 | 48 | 2 | 0 | 1 | |
| Team Total or Average | 73 | 35 | 24 | 10 | 0.910 | 2.54 | 4199 | 4 | 3 | 178 | 1971 | 0 | 1 | 2 | 0.667 | 6 | 69 | 65 | 5 | 4 | 4 |
| Projected Total Cap Hit | 93,922,402$ |
| Projected Cap Space | 1,577,598$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 77,356,418$ |
| Players In Salary Cap | 24 |
| LTIR Players | 0 |
| Golden Knights Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox ![]() | D | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Adam Henrique ![]() | C/LW | 36 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
| Anton Forsberg | G | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Beck Malenstyn ![]() | C/LW/RW | 28 | 1,350,000$ | 1,350,000$ | |||||||
Bryan Rust ![]() | RW | 33 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | ||||
Chandler Stephenson ![]() | C/LW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Charles-Edouard D'Astous | D | 27 | 775,000$ | 775,000$ | |||||||
| Connor Hellebuyck | G | 32 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
Filip Zadina ![]() | LW/RW | 26 | 1,275,000$ | 1,275,000$ | |||||||
Jake Walman ![]() | D | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jakub Vrana ![]() | LW/RW | 30 | 5,800,000$ | 5,800,000$ | UFA | ||||||
Jesse Ylonen | LW/RW | 26 | 0$ | ||||||||
Jonathan Dahlen | LW | 28 | 0$ | ||||||||
Josh Manson ![]() | D | 34 | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||||
Justin Danforth ![]() | C/RW | 32 | 1,275,000$ | 1,275,000$ | UFA | ||||||
Kiefer Sherwood | C/LW/RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Mika Zibanejad ![]() | C/RW | 32 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||||
Roman Josi ![]() | D | 35 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Ryan Nugent-Hopkins ![]() | C/LW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Sidney Crosby ![]() | C | 38 | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | |||||
Teddy Blueger ![]() | C/LW | 31 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
Tim Washe | C/LW | 24 | 812,500$ | 812,500$ | 812,500$ | RFA | |||||
Tyler Myers ![]() | D | 36 | 2,850,000$ | 2,850,000$ | 2,850,000$ | UFA | |||||
Victor Hedman ![]() | D | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Vincent Trocheck ![]() | C/RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Yanni Gourde ![]() | C/LW/RW | 34 | 2,333,333$ | 2,333,333$ | 2,333,333$ | 2,333,333$ | 2,333,333$ | 2,333,333$ | 2,333,333$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Wilsby | D | 25 | 800,000$ | 800,000$ | RFA | ||||||
Alexis Gendron | C | 22 | 860,000$ | 860,000$ | RFA | ||||||
Antti Tuomisto | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
Brady Stonehouse | LW/RW | 21 | 845,000$ | 845,000$ | RFA | ||||||
Carter King | C/LW | 24 | 872,500$ | 872,500$ | RFA | ||||||
Cross Hanas | LW/RW | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Danny Zhilkin | C | 22 | 831,667$ | 831,667$ | RFA | ||||||
Daylan Kuefler | LW | 24 | 840,000$ | 840,000$ | RFA | ||||||
Elias Salomonsson | D | 21 | 815,000$ | 815,000$ | 815,000$ | RFA | |||||
Ethan Cardwell | RW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Gannon Laroque | D | 22 | 0$ | RFA | |||||||
Hugo Ollas | G | 23 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
Isaiah Saville | G | 25 | 0$ | RFA | |||||||
Jake Christiansen | D | 26 | 850,000$ | 850,000$ | |||||||
Jakub Demek | C/RW | 22 | 851,683$ | 851,683$ | RFA | ||||||
Jared Davidson | C | 23 | 800,000$ | 800,000$ | RFA | ||||||
Jeremie Biakabutuka | D | 24 | 825,000$ | 825,000$ | RFA | ||||||
John Farinacci | C | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Josh Samanski | C/LW | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Kyle Masters | D | 22 | 865,000$ | 865,000$ | RFA | ||||||
Layton Ahac | D | 25 | 0$ | RFA | |||||||
Liam Kirk | C | 26 | 900,000$ | 900,000$ | |||||||
Marshall Warren | D | 24 | 825,000$ | 825,000$ | RFA | ||||||
Mason Shaw | C/LW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Maximus Wanner | D | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Michael Buchinger | D | 21 | 870,000$ | 870,000$ | RFA | ||||||
Michael Milne | LW | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Mikhail Berdin | G | 28 | 0$ | ||||||||
Ryan Hofer | C | 23 | 851,667$ | 851,667$ | RFA | ||||||
Ryder Korczak | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Santeri Hatakka | D | 25 | 825,000$ | 825,000$ | RFA | ||||||
Vadim Zherenko | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Will Cranley | G | 24 | 775,000$ | 775,000$ | RFA | ||||||
Yegor Sidorov | RW | 21 | 950,000$ | 950,000$ | 950,000$ | 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 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 1 | 0.167 | 8 | 14 | 22 | 1 | 0 | 5 | 0 | 3 | 0 | 94 | 37 | 21 | 36 | 0 | 92 | 36 | 30 | 69 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 69 | 46 | 74 | 24 | 39 | 19 | 35.3% | 8.5% | 85.9% | 94.4 | Unlucky | |
| 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 81 | 28 | 28 | 25 | 0 | 66 | 15 | 33 | 50 | 14 | 3 | 21.43% | 14 | 2 | 85.71% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 53 | 37 | 40 | 14 | 25 | 13 | 66.7% | 8.6% | 93.9% | 102.6 | DULL | |
| 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 72 | 22 | 18 | 32 | 0 | 39 | 7 | 10 | 39 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 59 | 42 | 36 | 14 | 26 | 14 | 44.4% | 8.3% | 84.6% | 92.9 | Unlucky | |
| 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 63 | 18 | 28 | 17 | 0 | 76 | 17 | 14 | 35 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 47 | 33 | 48 | 14 | 25 | 12 | 57.1% | 7.9% | 94.7% | 102.7 | DULL | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 2 | 3 | 1 | 0 | 48 | 13 | 18 | 17 | 0 | 63 | 13 | 18 | 41 | 9 | 2 | 22.22% | 7 | 0 | 100.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 48 | 33 | 45 | 15 | 25 | 12 | 80.0% | 12.5% | 98.4% | 110.9 | LUCKY | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 51 | 15 | 19 | 17 | 0 | 70 | 31 | 26 | 46 | 7 | 0 | 0.00% | 13 | 2 | 84.62% | 1 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 40 | 26 | 55 | 15 | 24 | 11 | 66.7% | 7.8% | 94.3% | 102.1 | DULL | |
| 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 2 | 2 | 5 | 0 | 66 | 20 | 17 | 29 | 0 | 47 | 10 | 24 | 41 | 10 | 1 | 10.00% | 11 | 1 | 90.91% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 50 | 35 | 45 | 14 | 24 | 12 | 88.9% | 13.6% | 95.7% | 109.4 | LUCKY | |
| 8 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 48 | 12 | 9 | 25 | 2 | 75 | 11 | 31 | 41 | 4 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 44 | 29 | 53 | 15 | 24 | 11 | 37.5% | 6.3% | 92.0% | 98.3 | DULL | |
| 9 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 54 | 14 | 21 | 19 | 0 | 58 | 16 | 25 | 48 | 10 | 2 | 20.00% | 9 | 1 | 88.89% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 47 | 33 | 50 | 15 | 22 | 11 | 28.6% | 7.4% | 89.7% | 97.1 | Unlucky | |
| 10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 62 | 26 | 17 | 19 | 0 | 61 | 12 | 26 | 28 | 7 | 3 | 42.86% | 13 | 3 | 76.92% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 46 | 32 | 49 | 15 | 24 | 12 | 50.0% | 8.1% | 91.8% | 99.9 | DULL | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 14 | 10 | 2 | 0 | 39 | 14 | 12 | 27 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 22 | 15 | 25 | 6 | 11 | 5 | 40.0% | 7.7% | 84.6% | 92.3 | Unlucky | |
| 12 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 4 | 0 | 3 | 0 | 84 | 26 | 25 | 33 | 0 | 95 | 20 | 45 | 62 | 9 | 1 | 11.11% | 13 | 2 | 84.62% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 65 | 43 | 76 | 22 | 38 | 18 | 40.0% | 8.3% | 88.4% | 96.8 | Unlucky | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 47 | 17 | 14 | 16 | 0 | 30 | 6 | 10 | 40 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 27 | 19 | 19 | 7 | 12 | 6 | 66.7% | 6.4% | 96.7% | 103.0 | DULL | |
| 14 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 15 | -7 | 3 | 0.375 | 8 | 15 | 23 | 0 | 0 | 5 | 2 | 1 | 0 | 124 | 42 | 50 | 31 | 1 | 133 | 39 | 40 | 90 | 20 | 2 | 10.00% | 20 | 3 | 85.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 97 | 65 | 93 | 30 | 50 | 24 | 33.3% | 6.5% | 88.7% | 95.2 | Unlucky | |
| 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 3 | 5 | 2 | 0 | 69 | 22 | 26 | 21 | 0 | 48 | 12 | 10 | 26 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 55 | 42 | 39 | 13 | 24 | 13 | 72.7% | 14.5% | 91.7% | 106.2 | LUCKY | |
| 16 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 76 | 16 | 23 | 35 | 2 | 50 | 13 | 25 | 37 | 12 | 1 | 8.33% | 10 | 1 | 90.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 50 | 33 | 45 | 15 | 27 | 12 | 33.3% | 3.9% | 90.0% | 93.9 | Unlucky | |
| 17 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 0 | 3 | 1 | 49 | 9 | 15 | 24 | 1 | 58 | 13 | 10 | 43 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 52 | 36 | 41 | 15 | 26 | 14 | 60.0% | 12.2% | 93.1% | 105.3 | LUCKY | |
| 18 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0.667 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 1 | 76 | 26 | 22 | 25 | 3 | 87 | 23 | 38 | 71 | 10 | 1 | 10.00% | 16 | 1 | 93.75% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 70 | 47 | 76 | 22 | 36 | 18 | 60.0% | 9.2% | 94.3% | 103.5 | LUCKY | |
| 19 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 47 | 15 | 18 | 13 | 1 | 63 | 26 | 20 | 35 | 9 | 3 | 33.33% | 10 | 2 | 80.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 45 | 31 | 51 | 15 | 25 | 12 | 20.0% | 8.5% | 90.5% | 99.0 | Unlucky | |
| 20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 4 | 0 | 42 | 7 | 19 | 16 | 0 | 53 | 10 | 31 | 42 | 5 | 2 | 40.00% | 9 | 2 | 77.78% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 41 | 27 | 53 | 15 | 25 | 11 | 100.0% | 16.7% | 96.2% | 112.9 | LUCKY | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 11 | 4 | 12 | 0 | 46 | 16 | 8 | 28 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 23 | 16 | 25 | 7 | 11 | 5 | 0.0% | 0.0% | 87.0% | 87.0 | Unlucky | |
| 22 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 93 | 26 | 26 | 41 | 0 | 74 | 32 | 28 | 76 | 9 | 3 | 33.33% | 14 | 1 | 92.86% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 79 | 55 | 64 | 21 | 36 | 18 | 25.0% | 5.4% | 90.5% | 95.9 | Unlucky | |
| 23 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 59 | 22 | 19 | 17 | 1 | 57 | 24 | 20 | 34 | 11 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 41 | 27 | 55 | 15 | 24 | 11 | 33.3% | 5.1% | 87.7% | 92.8 | Unlucky | |
| 24 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 15 | 20 | 17 | 0 | 40 | 13 | 18 | 43 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 43 | 27 | 49 | 15 | 27 | 13 | 33.3% | 7.7% | 85.0% | 92.7 | Unlucky | |
| 25 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 1 | 40 | 17 | 12 | 9 | 5 | 34 | 6 | 4 | 28 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 30 | 23 | 20 | 7 | 13 | 6 | 66.7% | 7.5% | 94.1% | 101.6 | DULL | |
| 26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 12 | 18 | 1 | 0 | 3 | 2 | 1 | 0 | 92 | 32 | 33 | 27 | 0 | 102 | 28 | 27 | 63 | 14 | 2 | 14.29% | 10 | 4 | 60.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 75 | 53 | 68 | 20 | 36 | 19 | 40.0% | 6.5% | 90.2% | 96.7 | Unlucky | |
| 27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 3 | 2 | 2 | 0 | 67 | 24 | 23 | 20 | 0 | 53 | 24 | 10 | 40 | 8 | 1 | 12.50% | 5 | 3 | 40.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 51 | 36 | 43 | 13 | 24 | 12 | 60.0% | 10.4% | 86.8% | 97.2 | FUN | |
| 28 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 22 | 33 | 0 | 0 | 7 | 3 | 1 | 0 | 69 | 23 | 23 | 23 | 0 | 53 | 26 | 16 | 42 | 7 | 3 | 42.86% | 7 | 1 | 85.71% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 52 | 38 | 43 | 12 | 23 | 12 | 66.7% | 15.9% | 90.6% | 106.5 | FUN | |
| 29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 75 | 23 | 31 | 19 | 2 | 51 | 14 | 10 | 34 | 13 | 4 | 30.77% | 4 | 1 | 75.00% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 53 | 36 | 43 | 15 | 26 | 14 | 28.6% | 8.0% | 88.2% | 96.2 | Unlucky | |
| 30 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 5 | 0.625 | 9 | 16 | 25 | 1 | 1 | 5 | 3 | 1 | 0 | 119 | 41 | 41 | 36 | 1 | 107 | 33 | 29 | 101 | 18 | 3 | 16.67% | 11 | 1 | 90.91% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 102 | 70 | 90 | 31 | 50 | 25 | 42.9% | 7.6% | 91.6% | 99.2 | DULL | |
| 31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 49 | 23 | 11 | 15 | 0 | 65 | 23 | 16 | 38 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 45 | 31 | 48 | 15 | 26 | 12 | 25.0% | 6.1% | 89.2% | 95.4 | Unlucky | |
| _Vs Division | 19 | 6 | 9 | 0 | 1 | 3 | 0 | 0 | 43 | 59 | -16 | 17 | 0.447 | 43 | 80 | 123 | 4 | 1 | 21 | 10 | 11 | 1 | 574 | 201 | 185 | 185 | 3 | 587 | 178 | 162 | 444 | 80 | 11 | 13.75% | 73 | 11 | 84.93% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 470 | 322 | 435 | 145 | 242 | 121 | 40.0% | 7.5% | 89.9% | 97.4 | Unlucky | |
| _Vs Conference | 37 | 14 | 16 | 0 | 2 | 4 | 1 | 0 | 95 | 103 | -8 | 38 | 0.514 | 95 | 170 | 265 | 4 | 1 | 40 | 25 | 27 | 3 | 1116 | 377 | 354 | 376 | 12 | 1088 | 331 | 341 | 823 | 151 | 24 | 15.89% | 149 | 23 | 84.56% | 0 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 919 | 638 | 853 | 277 | 467 | 234 | 47.0% | 8.5% | 90.5% | 99.0 | Unlucky | |
| _Since Last GM Reset | 67 | 27 | 25 | 0 | 3 | 11 | 1 | 0 | 171 | 182 | -11 | 73 | 0.545 | 171 | 312 | 483 | 4 | 2 | 65 | 51 | 51 | 4 | 2021 | 656 | 661 | 688 | 19 | 1985 | 583 | 664 | 1438 | 280 | 49 | 17.50% | 283 | 45 | 84.10% | 1 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 1635 | 1130 | 1574 | 502 | 842 | 421 | 47.1% | 8.5% | 90.8% | 99.3 | Unlucky | |
| Total | 67 | 27 | 25 | 0 | 3 | 11 | 1 | 0 | 171 | 182 | -11 | 73 | 0.545 | 171 | 312 | 483 | 4 | 2 | 65 | 51 | 51 | 4 | 2021 | 656 | 661 | 688 | 19 | 1985 | 583 | 664 | 1438 | 280 | 49 | 17.50% | 283 | 45 | 84.10% | 1 | 1226 | 2373 | 51.66% | 1258 | 2388 | 52.68% | 488 | 993 | 49.14% | 1635 | 1130 | 1574 | 502 | 842 | 421 | 47.1% | 8.5% | 90.8% | 99.3 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2373 |
| Neutral Zone Start | 993 |
| Defensive Zone Start | 2388 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2972 |
| Faceoffs Lost | 2782 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.8 | 9.57 |
| 2nd Period | 19.7 | 20.31 |
| 3rd Period | 29.9 | 30.68 |
| Overtime | 30.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 117 |
|---|---|
| PP Goal | 49 |
| PK Goal | 1 |
| Empty Net Goal | 4 |
| Home | Away | |
|---|---|---|
| Win | 17 | 14 |
| Lost | 12 | 13 |
| Overtime Lost | 4 | 7 |
| PP Attempt | 280 |
|---|---|
| PP Goal | 49 |
| PK Attempt | 283 |
| PK Goal Against | 45 |
| Home | |
|---|---|
| Shots For | 30.2 |
| Shots Against | 29.6 |
| Goals For | 2.6 |
| Goals Against | 2.7 |
| Hits | 21.5 |
| Shots Blocked | 8.7 |
| Pim | 9.9 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Kings4,Golden Knights3 (OT) | RECAP | |||||||||||
| 2025-10-10 | @ | Golden Knights4,Sharks5 (OT) | RECAP | |||||||||||
| 2025-10-12 | @ | Golden Knights2,Kraken4 | RECAP | |||||||||||
| 2025-10-15 | @ | Golden Knights3,Flames5 | RECAP | |||||||||||
| 2025-10-17 | @ | Bruins1,Golden Knights4 | RECAP | |||||||||||
| 2025-10-19 | @ | Flames4,Golden Knights2 | RECAP | |||||||||||
| 2025-10-21 | @ | Hurricanes2,Golden Knights1 | RECAP | |||||||||||
| 2025-10-26 | @ | Golden Knights2,Panthers3 (OT) | RECAP | |||||||||||
| 2025-10-27 | @ | Golden Knights0,Lightning3 | RECAP | |||||||||||
| 2025-10-29 | @ | Golden Knights3,Hurricanes2 | RECAP | |||||||||||
| 2025-11-01 | @ | Avalanche1,Golden Knights4 | RECAP | |||||||||||
| 2025-11-05 | @ | Red Wings3,Golden Knights2 | RECAP | |||||||||||
| 2025-11-07 | @ | Lightning2,Golden Knights3 (OT) | RECAP | |||||||||||
| 2025-11-09 | @ | Ducks3,Golden Knights1 | RECAP | |||||||||||
| 2025-11-11 | @ | Panthers4,Golden Knights1 | RECAP | |||||||||||
| 2025-11-14 | @ | Islanders1,Golden Knights2 | RECAP | |||||||||||
| 2025-11-16 | @ | Golden Knights1,Blues2 | RECAP | |||||||||||
| 2025-11-17 | @ | Golden Knights3,Wild5 | RECAP | |||||||||||
| 2025-11-19 | @ | Rangers3,Golden Knights1 | RECAP | |||||||||||
| 2025-11-21 | @ | Golden Knights2,Mammoth3 (OT) | RECAP | |||||||||||
| 2025-11-23 | @ | Golden Knights1,Ducks5 | RECAP | |||||||||||
| 2025-11-25 | @ | Golden Knights2,Mammoth3 | RECAP | |||||||||||
| 2025-11-27 | @ | Senators2,Golden Knights1 (OT) | RECAP | |||||||||||
| 2025-11-29 | @ | Canadiens2,Golden Knights3 | RECAP | |||||||||||
| 2025-11-30 | @ | Sharks3,Golden Knights1 | RECAP | |||||||||||
| 2025-12-03 | @ | Blackhawks1,Golden Knights4 | RECAP | |||||||||||
| 2025-12-06 | @ | Golden Knights3,Devils2 | RECAP | |||||||||||
| 2025-12-08 | @ | Golden Knights2,Rangers3 (OT) | RECAP | |||||||||||
| 2025-12-10 | @ | Golden Knights4,Islanders0 | RECAP | |||||||||||
| 2025-12-12 | @ | Golden Knights3,Flyers2 | RECAP | |||||||||||
| 2025-12-14 | @ | Golden Knights2,Blue Jackets3 (OT) | RECAP | |||||||||||
| 2025-12-18 | @ | Devils4,Golden Knights3 (OT) | RECAP | |||||||||||
| 2025-12-21 | @ | Golden Knights3,Flames4 (OT) | RECAP | |||||||||||
| 2025-12-22 | @ | Golden Knights3,Oilers2 (OT) | RECAP | |||||||||||
| 2025-12-24 | @ | Sharks0,Golden Knights2 | RECAP | |||||||||||
| 2025-12-28 | @ | Avalanche1,Golden Knights5 | RECAP | |||||||||||
| 2025-12-30 | @ | Wild1,Golden Knights4 | RECAP | |||||||||||
| 2026-01-01 | @ | Predators2,Golden Knights4 | RECAP | |||||||||||
| 2026-01-03 | @ | Golden Knights3,Blues2 (OT) | RECAP | |||||||||||
| 2026-01-05 | @ | Golden Knights0,Blackhawks3 | RECAP | |||||||||||
| 2026-01-07 | @ | Golden Knights3,Jets2 (SO) | RECAP | |||||||||||
| 2026-01-09 | @ | Blue Jackets3,Golden Knights2 | RECAP | |||||||||||
| 2026-01-11 | @ | Blues1,Golden Knights3 | RECAP | |||||||||||
| 2026-01-12 | @ | Golden Knights2,Sharks1 | RECAP | |||||||||||
| 2026-01-15 | @ | Golden Knights4,Kings1 | RECAP | |||||||||||
| 2026-01-16 | @ | Maple Leafs2,Golden Knights5 | RECAP | |||||||||||
| 2026-01-18 | @ | Predators2,Golden Knights6 | RECAP | |||||||||||
| 2026-01-20 | @ | Flyers2,Golden Knights4 | RECAP | |||||||||||
| 2026-01-23 | @ | Golden Knights3,Bruins1 | RECAP | |||||||||||
| 2026-01-24 | @ | Golden Knights6,Maple Leafs3 | RECAP | |||||||||||
| 2026-01-26 | @ | Golden Knights4,Senators2 | RECAP | |||||||||||
| 2026-01-28 | @ | Golden Knights2,Canadiens3 | RECAP | |||||||||||
| 2026-01-30 | @ | Stars2,Golden Knights4 | RECAP | |||||||||||
| 2026-02-01 | @ | Kraken3,Golden Knights1 | RECAP | |||||||||||
| 2026-02-02 | @ | Golden Knights4,Ducks2 | RECAP | |||||||||||
| 2026-02-05 | @ | Canucks1,Golden Knights3 | RECAP | |||||||||||
| 2026-02-06 | @ | Kings5,Golden Knights0 | RECAP | |||||||||||
| 2026-02-26 | @ | Golden Knights1,Kings5 | RECAP | |||||||||||
| 2026-02-28 | @ | Golden Knights2,Capitals6 | RECAP | |||||||||||
| 2026-03-02 | @ | Golden Knights2,Penguins1 | RECAP | |||||||||||
| 2026-03-04 | @ | Golden Knights0,Sabres6 | RECAP | |||||||||||
| 2026-03-05 | @ | Golden Knights2,Red Wings3 (OT) | RECAP | |||||||||||
| 2026-03-07 | @ | Wild5,Golden Knights0 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | Oilers2,Golden Knights3 | RECAP | |||||||||||
| 2026-03-11 | @ | Golden Knights3,Stars5 | RECAP | |||||||||||
| 2026-03-13 | @ | Penguins5,Golden Knights4 (OT) | RECAP | |||||||||||
| 2026-03-15 | @ | Blackhawks3,Golden Knights1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 99,395,833$ | 0$ | 93,922,402$ | -3,895,833$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | T-Mobile Arena | |
| City | Vegas | ||
| 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 | 183695 | 154193 | 62003 | 123940 | 30489 |
| Attendance PCT | 92.78% | 93.45% | 93.94% | 93.89% | 92.39% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 8 | 16798 - 93.32% | 1,535,871$ | 50,683,731$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 99,395,833$ | 99,395,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 78,189,755$ | 517,687$ | 77,356,418$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 12,286,965$ | 32 | 522,895$ | 16,732,640$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 17,101,260$ | 99,395,833$ | 44,133,718$ | 39,319,423$ |
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) |
| 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 |
|---|---|---|---|---|---|
| Adam Benak | 2025 | 49 | |||
| Alexandr Darin | 2019 | 107 | |||
| Asher Barnett | 2025 | 128 | |||
| Atte Joki | 2025 | 138 | |||
| Blake Vanek | 2025 | 92 | |||
| Brady Peddle | 2025 | 81 | |||
| Brent Solomon | 2025 | 136 | |||
| Carlos Handel | 2025 | 165 | |||
| Christian Kirsch | 2024 | 126 | |||
| Daniil Orlov | 2022 | 127 | |||
| Drew Schock | 2025 | 103 | |||
| Egor Zavragin | 2023 | 81 | |||
| Eric Pohlkamp | 2023 | 130 | |||
| Ethan Haider | 2019 | 147 | 4.0 - 5.0 | ||
| Ethan Wyttenbach | 2025 | 106 | |||
| Evan Passmore | 2025 | 175 | |||
| Filip Eriksson | 2023 | 188 | |||
| Jacob Cloutier | 2025 | 197 | |||
| Jan Chovan | 2025 | 173 | |||
| Javon Moore | 2024 | 112 | |||
| Jeremy Loranger | 2025 | 183 | |||
| Joaquim Lemay | 2021 | 140 | |||
| Kirill Yemelyanov | 2025 | 145 | |||
| Lucas Beckman | 2025 | 63 | |||
| Ludvig Johnson | 2025 | 157 | |||
| Mateo Nobert | 2025 | 82 | |||
| Matthew Andonovski | 2023 | 158 | |||
| Max Westergard | 2025 | 137 | |||
| Maximilian Kilpinen | 2022 | 147 | |||
| Miguel Marques | 2024 | 42 | |||
| Mikhail Fyodorov | 2025 | 162 | |||
| Nathan Villeneuve | 2024 | 74 | |||
| Noah Laberge | 2025 | 143 | |||
| Richard Gallant | 2025 | 168 | |||
| Simon-Pier Brunet | 2024 | 121 | |||
| Teddy Mutryn | 2025 | 95 | |||
| Tomas Mrsic | 2024 | 50 | |||
| Tyler Hopkins | 2025 | 93 | |||
| Will Belle | 2025 | 133 | |||
| Will Sharpe | 2025 | 190 | |||
| William Whitelaw | 2023 | 39 | |||
| Yegor Borikov | 2025 | 116 |
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