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Full Scoreboard »» |
| Vegas Golden Knights 10-14-7, 27pts · 15th 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 | 68 | 34 | 85 | 82 | 76 | 90 | 90 | 81 | 96 | 84 | 84 | 63 | 82 | 90 | 99 | 0 | 45 | 91 | 38 | 8,700,000$/2yrs | |||
Bryan Rust | 0 | RW | 100.00 | 66 | 32 | 90 | 78 | 74 | 89 | 86 | 76 | 60 | 75 | 83 | 73 | 79 | 81 | 80 | 0 | 33 | 87 | 33 | 5,125,000$/3yrs | |||
Nico Hischier (A) | 0 | C | 100.00 | 63 | 32 | 92 | 81 | 70 | 89 | 88 | 78 | 95 | 77 | 82 | 77 | 80 | 70 | 80 | 0 | 33 | 87 | 26 | 7,250,000$/2yrs | |||
Vincent Trocheck | 0 | C/RW | 100.00 | 83 | 37 | 79 | 73 | 71 | 91 | 90 | 74 | 93 | 77 | 75 | 84 | 74 | 79 | 77 | 0 | 48 | 86 | 32 | 6,000,000$/3yrs | |||
Mika Zibanejad | 0 | C/RW | 100.00 | 62 | 33 | 88 | 76 | 80 | 88 | 90 | 73 | 84 | 78 | 73 | 76 | 73 | 80 | 78 | 0 | 41 | 84 | 32 | 8,500,000$/3yrs | |||
Tyler Bertuzzi | 0 | LW/RW | 100.00 | 68 | 32 | 63 | 75 | 74 | 84 | 90 | 75 | 62 | 68 | 89 | 48 | 82 | 77 | 73 | 0 | 27 | 83 | 30 | 7,000,000$/4yrs | |||
Kiefer Sherwood | 0 | C/LW/RW | 100.00 | 99 | 33 | 74 | 71 | 75 | 84 | 90 | 66 | 59 | 54 | 87 | 78 | 76 | 77 | 74 | 0 | 25 | 82 | 30 | 1,000,000$/2yrs | |||
Chandler Stephenson | 0 | C/LW | 100.00 | 61 | 35 | 88 | 70 | 80 | 88 | 89 | 70 | 88 | 76 | 67 | 75 | 69 | 78 | 76 | 0 | 69 | 81 | 31 | 5,500,000$/5yrs | |||
Yanni Gourde | 0 | C/LW/RW | 100.00 | 79 | 42 | 72 | 63 | 65 | 84 | 86 | 65 | 82 | 70 | 63 | 76 | 64 | 82 | 79 | 0 | 52 | 78 | 34 | 2,333,333$/6yrs | |||
Beck Malenstyn | 0 | C/LW/RW | 100.00 | 86 | 36 | 88 | 55 | 81 | 76 | 89 | 57 | 60 | 60 | 58 | 82 | 57 | 71 | 69 | 0 | 32 | 73 | 27 | 1,350,000$/1yrs | |||
Sam Carrick | 0 | C/RW | 100.00 | 79 | 55 | 65 | 55 | 77 | 76 | 89 | 58 | 82 | 60 | 61 | 72 | 59 | 81 | 77 | 0 | 29 | 73 | 33 | 1,300,000$/2yrs | |||
Juuso Parssinen | 0 | C/LW | 100.00 | 75 | 36 | 88 | 64 | 85 | 76 | 79 | 61 | 73 | 61 | 65 | 59 | 63 | 65 | 64 | 0 | 26 | 73 | 24 | 1,250,000$/2yrs | |||
Roman Josi | 0 | D | 100.00 | 63 | 35 | 84 | 76 | 79 | 97 | 86 | 71 | 30 | 83 | 72 | 71 | 72 | 85 | 97 | 0 | 38 | 89 | 35 | 9,000,000$/3yrs | |||
Adam Fox (A) | 0 | D | 100.00 | 62 | 32 | 84 | 82 | 70 | 95 | 88 | 75 | 30 | 86 | 68 | 77 | 72 | 71 | 70 | 0 | 40 | 89 | 27 | 9,500,000$/4yrs | |||
Jake Walman | 0 | D | 100.00 | 66 | 33 | 78 | 75 | 85 | 92 | 85 | 70 | 30 | 77 | 62 | 84 | 66 | 75 | 72 | 0 | 50 | 86 | 29 | 3,000,000$/2yrs | |||
Justin Faulk | 0 | D | 100.00 | 70 | 35 | 83 | 68 | 82 | 93 | 86 | 65 | 30 | 73 | 56 | 74 | 61 | 81 | 79 | 0 | 35 | 81 | 33 | 6,200,000$/1yrs | |||
Tyler Myers | 0 | D | 100.00 | 72 | 40 | 68 | 60 | 96 | 89 | 88 | 64 | 30 | 67 | 59 | 79 | 62 | 85 | 81 | 0 | 30 | 79 | 35 | 2,850,000$/2yrs | |||
Josh Manson | 0 | D | 100.00 | 85 | 44 | 68 | 58 | 87 | 86 | 84 | 61 | 30 | 66 | 59 | 76 | 60 | 82 | 79 | 0 | 22 | 78 | 34 | 4,800,000$/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$/1yrs | |||
Jonathan Dahlen | 0 | LW | 100.00 | 57 | 32 | 93 | 70 | 70 | 78 | 60 | 68 | 55 | 60 | 62 | 66 | 70 | 68 | 67 | 0 | 19 | 74 | 27 | ||||
Jakub Vrana | 0 | LW/RW | 100.00 | 61 | 32 | 89 | 64 | 74 | 74 | 74 | 61 | 57 | 61 | 67 | 53 | 64 | 74 | 72 | 0 | 20 | 73 | 29 | 5,800,000$/1yrs | |||
Tim Washe | 0 | C/LW | 100.00 | 61 | 40 | 86 | 58 | 86 | 68 | 93 | 56 | 71 | 58 | 59 | 68 | 58 | 65 | 63 | 0 | 37 | 70 | 24 | 812,500$/2yrs | |||
Jesse Ylonen | 0 | LW/RW | 100.00 | 64 | 32 | 92 | 55 | 75 | 73 | 74 | 56 | 61 | 56 | 58 | 59 | 57 | 67 | 66 | 0 | 19 | 68 | 26 | ||||
| TEAM AVERAGE | 100.00 | 70 | 36 | 82 | 68 | 78 | 84 | 85 | 67 | 62 | 69 | 69 | 71 | 68 | 76 | 76 | 0 | 34 | 80 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Hellebuyck | 0 | 100.00 | 89 | 95 | 85 | 85 | 97 | 85 | 95 | 94 | 94 | 97 | 95 | 80 | 84 | 0 | 32 | 94 | 32 | 7,500,000$/4yrs |
Joonas Korpisalo | 0 | 100.00 | 76 | 89 | 78 | 79 | 82 | 75 | 84 | 89 | 84 | 89 | 84 | 77 | 81 | 0 | 34 | 86 | 31 | 3,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 83 | 92 | 82 | 82 | 90 | 80 | 90 | 92 | 89 | 93 | 90 | 79 | 83 | 0 | 33 | 90 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Andre Tourigny | 71 | 81 | 81 | 83 | 70 | 75 | 64 | CAN | 61 | 4 | 1,000,000$ |
| 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 | Chandler Stephenson | 0 | C/LW | 32 | 15 | 20 | 35 | 8 | 2 | 0 | 10 | 107 | 26 | 81 | 14.02% | 4 | 17.06 | 5 | 7 | 12 | 116 | 0 | 0 | 0 | 0 | 1 | 0 | 53.33% | 705 | 0 | 0 | 0 | 1 | 1.28 | 0 | 0 | |
| 2 | Nico Hischier | 0 | C | 31 | 15 | 17 | 32 | 3 | 0 | 0 | 1 | 164 | 39 | 95 | 9.15% | 10 | 21.43 | 4 | 9 | 13 | 104 | 0 | 0 | 0 | 124 | 2 | 2 | 55.88% | 986 | 0 | 0 | 0 | 1 | 0.96 | 1 | 1 | |
| 3 | Vincent Trocheck | 0 | C/RW | 31 | 9 | 22 | 31 | 1 | 14 | 0 | 72 | 99 | 26 | 72 | 9.09% | 17 | 17.83 | 3 | 11 | 14 | 105 | 0 | 2 | 2 | 118 | 0 | 0 | 54.23% | 745 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | |
| 4 | Sidney Crosby | 0 | C | 32 | 10 | 18 | 28 | -4 | 14 | 0 | 50 | 125 | 53 | 93 | 8.00% | 3 | 19.85 | 6 | 8 | 14 | 110 | 0 | 0 | 0 | 7 | 1 | 0 | 56.23% | 795 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | |
| 5 | Mika Zibanejad | 0 | C/RW | 30 | 13 | 14 | 27 | 7 | 14 | 0 | 26 | 120 | 31 | 88 | 10.83% | 1 | 19.47 | 2 | 4 | 6 | 115 | 0 | 0 | 0 | 0 | 4 | 1 | 47.52% | 141 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
| 6 | Adam Fox | 0 | D | 30 | 1 | 21 | 22 | 3 | 22 | 0 | 35 | 54 | 18 | 50 | 1.85% | 34 | 25.16 | 1 | 7 | 8 | 127 | 0 | 1 | 1 | 75 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 7 | Bryan Rust | 0 | RW | 32 | 9 | 9 | 18 | -5 | 14 | 0 | 40 | 101 | 35 | 91 | 8.91% | 8 | 19.92 | 3 | 4 | 7 | 103 | 0 | 0 | 0 | 43 | 2 | 0 | 40.54% | 37 | 0 | 0 | 0 | 0 | 0.56 | 1 | 2 | |
| 8 | Jake Walman | 0 | D | 32 | 3 | 12 | 15 | -1 | 16 | 0 | 47 | 53 | 20 | 37 | 5.66% | 45 | 23.60 | 2 | 6 | 8 | 100 | 0 | 1 | 1 | 116 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 9 | Roman Josi | 0 | D | 32 | 3 | 9 | 12 | -6 | 26 | 0 | 38 | 55 | 22 | 33 | 5.45% | 48 | 24.88 | 1 | 2 | 3 | 117 | 1 | 0 | 1 | 97 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 10 | Tyler Bertuzzi | 0 | LW/RW | 30 | 6 | 6 | 12 | -7 | 41 | 5 | 55 | 47 | 9 | 31 | 12.77% | 6 | 20.28 | 1 | 4 | 5 | 91 | 0 | 0 | 0 | 74 | 0 | 1 | 40.00% | 110 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 11 | Josh Manson | 0 | D | 33 | 2 | 8 | 10 | -7 | 68 | 10 | 84 | 37 | 17 | 29 | 5.41% | 50 | 20.53 | 1 | 3 | 4 | 56 | 0 | 1 | 1 | 81 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 12 | Tyler Myers | 0 | D | 31 | 1 | 9 | 10 | 1 | 35 | 5 | 72 | 47 | 6 | 39 | 2.13% | 30 | 21.87 | 0 | 2 | 2 | 78 | 0 | 1 | 1 | 111 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| 13 | Justin Faulk | 0 | D | 27 | 1 | 8 | 9 | -2 | 12 | 0 | 24 | 32 | 8 | 12 | 3.13% | 20 | 19.46 | 1 | 3 | 4 | 80 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 14 | Sam Carrick | 0 | C/RW | 32 | 3 | 5 | 8 | 1 | 24 | 0 | 47 | 40 | 12 | 31 | 7.50% | 1 | 9.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 52.27% | 44 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 15 | Yanni Gourde | 0 | C/LW/RW | 32 | 4 | 4 | 8 | 1 | 27 | 5 | 41 | 50 | 12 | 30 | 8.00% | 8 | 11.94 | 0 | 0 | 0 | 23 | 2 | 0 | 2 | 60 | 1 | 0 | 26.67% | 30 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 16 | Kiefer Sherwood | 0 | C/LW/RW | 32 | 4 | 2 | 6 | 5 | 24 | 0 | 68 | 59 | 9 | 34 | 6.78% | 8 | 13.60 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 83 | 1 | 0 | 44.12% | 68 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 17 | Beck Malenstyn | 0 | C/LW/RW | 30 | 2 | 4 | 6 | -5 | 24 | 0 | 40 | 45 | 16 | 42 | 4.44% | 18 | 12.30 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 72 | 1 | 0 | 42.32% | 267 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 18 | Juuso Parssinen | 0 | C/LW | 31 | 3 | 3 | 6 | -1 | 8 | 0 | 24 | 35 | 15 | 23 | 8.57% | 0 | 11.73 | 1 | 2 | 3 | 33 | 0 | 0 | 0 | 4 | 0 | 0 | 44.89% | 323 | 0 | 0 | 0 | 0 | 0.33 | 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 | |
| Team Total or Average | 574 | 106 | 191 | 297 | -16 | 385 | 25 | 776 | 1279 | 378 | 924 | 8.29% | 315 | 18.18 | 31 | 72 | 103 | 1406 | 3 | 6 | 9 | 1130 | 17 | 5 | 52.39% | 4270 | 0 | 0 | 0 | 2 | 0.57 | 2 | 3 |
| 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 | 23 | 10 | 9 | 4 | 0.910 | 2.52 | 1332 | 2 | 1 | 56 | 623 | 0 | 1 | 1 | 0.000 | 0 | 23 | 8 | 1 | 2 | 2 | |
| 2 | Joonas Korpisalo | 14 | 8 | 6 | 0 | 0.917 | 2.43 | 791 | 0 | 0 | 32 | 385 | 0 | 0 | 0 | 1.000 | 5 | 13 | 21 | 2 | 1 | 0 | |
| Team Total or Average | 37 | 18 | 15 | 4 | 0.913 | 2.49 | 2123 | 2 | 1 | 88 | 1008 | 0 | 1 | 1 | 1.000 | 5 | 36 | 29 | 3 | 3 | 2 |
| Projected Total Cap Hit | 94,705,696$ |
| Projected Cap Space | 794,304$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 29,594,052$ |
| Players In Salary Cap | 23 |
| 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 | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Beck Malenstyn ![]() | C/LW/RW | 27 | 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 | ||
| 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 | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jakub Vrana ![]() | LW/RW | 29 | 5,800,000$ | 5,800,000$ | UFA | ||||||
Jesse Ylonen | LW/RW | 26 | 0$ | ||||||||
Jonathan Dahlen | LW | 27 | 0$ | ||||||||
| Joonas Korpisalo | G | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Josh Manson ![]() | D | 34 | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||||
Justin Faulk ![]() | D | 33 | 6,200,000$ | 6,200,000$ | UFA | ||||||
Juuso Parssinen | C/LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
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 | ||||
Nico Hischier ![]() | C | 26 | 7,250,000$ | 7,250,000$ | 7,250,000$ | ||||||
Roman Josi ![]() | D | 35 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Sam Carrick ![]() | C/RW | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Sidney Crosby ![]() | C | 38 | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | |||||
Tim Washe | C/LW | 24 | 812,500$ | 812,500$ | 812,500$ | RFA | |||||
Tyler Bertuzzi ![]() | LW/RW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Tyler Myers ![]() | D | 35 | 2,850,000$ | 2,850,000$ | 2,850,000$ | 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 | 21 | 860,000$ | 860,000$ | RFA | ||||||
Antti Tuomisto | D | 24 | 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 | ||||||
Charles-Edouard D'Astous | D | 27 | 775,000$ | 775,000$ | |||||||
Cross Hanas | LW/RW | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Danny Zhilkin | C | 21 | 831,667$ | 831,667$ | RFA | ||||||
Daylan Kuefler | LW | 23 | 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 | 23 | 825,000$ | 825,000$ | RFA | ||||||
John Farinacci | C | 24 | 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 | 24 | 0$ | RFA | |||||||
Liam Kirk | C | 25 | 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 | 22 | 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 | 27 | 0$ | ||||||||
Ryan Hofer | C | 23 | 851,667$ | 851,667$ | RFA | ||||||
Ryder Korczak | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Santeri Hatakka | D | 24 | 825,000$ | 825,000$ | RFA | ||||||
Vadim Zherenko | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Will Cranley | G | 23 | 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 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 8 | 13 | 1 | 0 | 3 | 0 | 2 | 0 | 62 | 21 | 17 | 24 | 0 | 59 | 22 | 18 | 51 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 43 | 28 | 51 | 16 | 25 | 11 | 30.0% | 8.1% | 84.7% | 92.8 | Unlucky | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 49 | 19 | 17 | 13 | 0 | 16 | 4 | 11 | 27 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 31 | 23 | 15 | 6 | 12 | 7 | 33.3% | 6.1% | 87.5% | 93.6 | Unlucky | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 30 | 5 | 8 | 17 | 0 | 19 | 2 | 4 | 22 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 27 | 18 | 19 | 7 | 13 | 7 | 50.0% | 10.0% | 89.5% | 99.5 | FUN | |
| 4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 8 | 20 | 7 | 0 | 36 | 10 | 6 | 18 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 23 | 16 | 26 | 7 | 12 | 5 | 50.0% | 2.9% | 94.4% | 97.3 | 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 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 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 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 40 | 26 | 55 | 15 | 24 | 11 | 66.7% | 7.8% | 94.3% | 102.1 | DULL | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 32 | 12 | 7 | 13 | 0 | 31 | 5 | 12 | 22 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 22 | 15 | 26 | 7 | 11 | 4 | 80.0% | 12.5% | 96.8% | 109.3 | 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 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 44 | 29 | 53 | 15 | 24 | 11 | 37.5% | 6.3% | 92.0% | 98.3 | DULL | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 8 | 10 | 14 | 0 | 34 | 10 | 14 | 21 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 24 | 17 | 25 | 7 | 10 | 5 | 33.3% | 6.3% | 91.2% | 97.4 | DULL | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 34 | 16 | 10 | 8 | 0 | 28 | 3 | 14 | 16 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 23 | 16 | 25 | 7 | 11 | 5 | 66.7% | 8.8% | 92.9% | 101.7 | DULL | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 21 | 7 | 5 | 9 | 0 | 45 | 7 | 10 | 16 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 18 | 11 | 28 | 7 | 13 | 6 | 33.3% | 14.3% | 88.9% | 103.2 | FUN | |
| 12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 30 | 12 | 8 | 9 | 1 | 34 | 13 | 10 | 27 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 22 | 14 | 26 | 8 | 13 | 6 | 50.0% | 10.0% | 88.2% | 98.2 | FUN | |
| 13 | 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 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 50 | 33 | 45 | 15 | 27 | 12 | 33.3% | 3.9% | 90.0% | 93.9 | Unlucky | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 34 | 10 | 14 | 10 | 0 | 31 | 9 | 8 | 32 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 20 | 13 | 26 | 7 | 12 | 6 | 33.3% | 2.9% | 93.5% | 96.5 | DULL | |
| 15 | 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 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 45 | 31 | 51 | 15 | 25 | 12 | 20.0% | 8.5% | 90.5% | 99.0 | Unlucky | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 22 | 1 | 14 | 7 | 0 | 34 | 6 | 25 | 18 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 17 | 11 | 29 | 8 | 12 | 5 | 100.0% | 18.2% | 97.1% | 115.2 | LUCKY | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 45 | 8 | 14 | 23 | 0 | 20 | 12 | 10 | 23 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 25 | 17 | 22 | 6 | 12 | 6 | 66.7% | 8.9% | 95.0% | 103.9 | Unlucky | |
| 18 | 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 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 41 | 27 | 55 | 15 | 24 | 11 | 33.3% | 5.1% | 87.7% | 92.8 | Unlucky | |
| 19 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 21 | 6 | 8 | 7 | 0 | 17 | 7 | 6 | 25 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 21 | 13 | 24 | 8 | 13 | 6 | 25.0% | 9.5% | 82.4% | 91.9 | FUN | |
| 20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 1 | 1 | 0 | 0 | 58 | 18 | 24 | 16 | 0 | 68 | 16 | 27 | 43 | 10 | 2 | 20.00% | 10 | 4 | 60.00% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 49 | 35 | 46 | 13 | 23 | 11 | 0.0% | 3.4% | 88.2% | 91.7 | Unlucky | |
| 21 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 1 | 0 | 3 | 1 | 1 | 0 | 64 | 28 | 20 | 15 | 1 | 74 | 18 | 23 | 55 | 8 | 1 | 12.50% | 8 | 1 | 87.50% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 50 | 34 | 47 | 15 | 25 | 12 | 36.4% | 7.8% | 89.2% | 97.0 | Unlucky | |
| 22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 20 | 13 | 2 | 5 | 0 | 42 | 11 | 14 | 23 | 1 | 1 | 100.00% | 7 | 1 | 85.71% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 21 | 14 | 26 | 7 | 12 | 5 | 25.0% | 10.0% | 90.5% | 100.5 | FUN | |
| _Vs Division | 8 | 0 | 6 | 0 | 0 | 2 | 0 | 0 | 17 | 33 | -16 | 2 | 0.125 | 17 | 32 | 49 | 3 | 0 | 11 | 2 | 4 | 0 | 234 | 92 | 71 | 69 | 2 | 277 | 80 | 92 | 199 | 30 | 6 | 20.00% | 39 | 9 | 76.92% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 186 | 126 | 197 | 60 | 100 | 48 | 31.4% | 7.3% | 88.1% | 95.4 | Unlucky | |
| _Vs Conference | 14 | 2 | 9 | 0 | 0 | 3 | 0 | 0 | 33 | 48 | -15 | 7 | 0.250 | 33 | 61 | 94 | 3 | 0 | 17 | 8 | 8 | 0 | 413 | 144 | 129 | 137 | 3 | 467 | 139 | 152 | 327 | 53 | 12 | 22.64% | 69 | 12 | 82.61% | 0 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 319 | 216 | 352 | 106 | 176 | 84 | 36.8% | 8.0% | 89.7% | 97.7 | Unlucky | |
| _Since Last GM Reset | 31 | 9 | 14 | 0 | 1 | 7 | 0 | 0 | 70 | 86 | -16 | 27 | 0.435 | 70 | 128 | 198 | 3 | 1 | 28 | 19 | 22 | 1 | 918 | 285 | 304 | 321 | 8 | 966 | 273 | 352 | 673 | 130 | 24 | 18.46% | 149 | 22 | 85.23% | 1 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 713 | 484 | 772 | 238 | 388 | 186 | 41.8% | 7.6% | 91.1% | 98.7 | Unlucky | |
| Total | 31 | 9 | 14 | 0 | 1 | 7 | 0 | 0 | 70 | 86 | -16 | 27 | 0.435 | 70 | 128 | 198 | 3 | 1 | 28 | 19 | 22 | 1 | 918 | 285 | 304 | 321 | 8 | 966 | 273 | 352 | 673 | 130 | 24 | 18.46% | 149 | 22 | 85.23% | 1 | 536 | 1077 | 49.77% | 558 | 1145 | 48.73% | 214 | 460 | 46.52% | 713 | 484 | 772 | 238 | 388 | 186 | 41.8% | 7.6% | 91.1% | 98.7 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1077 |
| Neutral Zone Start | 460 |
| Defensive Zone Start | 1145 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1308 |
| Faceoffs Lost | 1374 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.2 | 9.57 |
| 2nd Period | 19.0 | 20.31 |
| 3rd Period | 29.4 | 30.68 |
| Overtime | 29.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.5 | 1.65 |
| 3rd Period | 2.2 | 2.67 |
| Overtime | 2.3 | 2.83 |
| Even Strenght Goal | 42 |
|---|---|
| PP Goal | 24 |
| PK Goal | 1 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 6 | 4 |
| Lost | 7 | 7 |
| Overtime Lost | 2 | 5 |
| PP Attempt | 130 |
|---|---|
| PP Goal | 24 |
| PK Attempt | 149 |
| PK Goal Against | 22 |
| Home | |
|---|---|
| Shots For | 29.6 |
| Shots Against | 31.2 |
| Goals For | 2.3 |
| Goals Against | 2.8 |
| Hits | 21.7 |
| Shots Blocked | 8.8 |
| Pim | 11.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 102,470,833$ | 0$ | 94,705,696$ | -6,970,833$ |
| 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 | 82603 | 69237 | 28307 | 57079 | 13664 |
| Attendance PCT | 91.78% | 92.32% | 94.36% | 95.13% | 91.09% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 26 | 16726 - 92.92% | 1,522,303$ | 22,834,552$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 102,470,833$ | 102,470,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 29,958,632$ | 533,702$ | 29,594,052$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 39,579,890$ | 122 | 538,911$ | 65,747,142$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 67,821,852$ | 102,470,833$ | 66,190,575$ | 37,948,613$ |
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 | |||
| Carlos Handel | 2025 | 165 | |||
| Christian Kirsch | 2024 | 126 | |||
| Daniil Orlov | 2022 | 127 | |||
| Drew Schock | 2025 | 103 | |||
| 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 | |||
| Love Harenstam | 2025 | 182 | |||
| 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 | |||
| 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 | |||
| Vinzenz Rohrer | 2022 | 83 | |||
| Will Belle | 2025 | 133 | |||
| Will Sharpe | 2025 | 190 | |||
| William Whitelaw | 2023 | 39 | |||
| Yegor Borikov | 2025 | 116 |
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