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Full Scoreboard »» |
Las Vegas Golden Knights Team Overall:76 21-9-3, 45pts · 3rd in Conférence Ouest |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C/LW/RW | 6' 2" | 208 | 24 | 59 | 43 | 79 | 86 | 82 | 90 | 85 | 87 | 83 | 90 | 91 | 66 | 89 | 69 | 75 | 0 | 40 | 82 | 100.00 | 8,500,000$/3yrs | |
0 | ![]() | C/LW/RW | 5' 11" | 185 | 32 | 57 | 39 | 84 | 83 | 69 | 85 | 89 | 86 | 87 | 84 | 75 | 72 | 86 | 80 | 93 | 0 | 40 | 80 | 100.00 | 8,275,000$/2yrs | |
0 | ![]() | LW/RW | 5' 11" | 192 | 27 | 81 | 39 | 82 | 77 | 71 | 83 | 85 | 76 | 54 | 75 | 79 | 85 | 73 | 75 | 72 | 0 | 40 | 79 | 100.00 | 3,500,000$/1yrs | |
0 | ![]() | C | 6' 0" | 195 | 27 | 63 | 39 | 88 | 79 | 73 | 84 | 89 | 77 | 85 | 78 | 74 | 86 | 79 | 73 | 76 | 0 | 40 | 79 | 100.00 | 5,900,000$/3yrs | |
0 | ![]() | LW/RW | 5' 9" | 180 | 29 | 79 | 38 | 80 | 79 | 65 | 83 | 88 | 77 | 61 | 76 | 78 | 64 | 79 | 78 | 73 | 0 | 40 | 78 | 100.00 | 5,000,000$/3yrs | |
0 | ![]() | RW | 5' 9" | 184 | 27 | 79 | 47 | 77 | 76 | 66 | 81 | 86 | 74 | 57 | 72 | 80 | 64 | 73 | 75 | 78 | 0 | 40 | 77 | 100.00 | 3,750,000$/1yrs | |
0 | ![]() | C | 6' 1" | 201 | 26 | 76 | 49 | 80 | 73 | 78 | 83 | 90 | 72 | 89 | 80 | 67 | 86 | 71 | 73 | 75 | 0 | 40 | 77 | 100.00 | 3,083,333$/1yrs | |
0 | ![]() | C/LW/RW | 5' 9" | 173 | 28 | 74 | 59 | 71 | 76 | 64 | 79 | 89 | 74 | 78 | 73 | 70 | 76 | 72 | 77 | 74 | 0 | 40 | 76 | 100.00 | 5,166,666$/3yrs | |
0 | ![]() | C/LW | 6' 1" | 207 | 25 | 68 | 41 | 83 | 78 | 79 | 82 | 84 | 77 | 75 | 72 | 69 | 58 | 76 | 71 | 66 | 0 | 40 | 75 | 100.00 | 4,900,000$/1yrs | |
0 | ![]() | C/LW/RW | 6' 0" | 190 | 24 | 58 | 42 | 83 | 70 | 72 | 82 | 84 | 67 | 81 | 71 | 68 | 86 | 67 | 69 | 68 | 0 | 40 | 74 | 100.00 | 3,500,000$/3yrs | |
0 | ![]() | RW | 6' 1" | 191 | 28 | 83 | 39 | 84 | 67 | 76 | 81 | 85 | 66 | 54 | 68 | 65 | 83 | 66 | 77 | 67 | 0 | 40 | 74 | 100.00 | 1,850,000$/3yrs | |
0 | ![]() | C/LW/RW | 5' 10" | 203 | 28 | 89 | 52 | 79 | 66 | 71 | 77 | 85 | 64 | 80 | 61 | 68 | 85 | 64 | 77 | 67 | 0 | 40 | 74 | 100.00 | 1,666,667$/3yrs | |
0 | ![]() | D | 6' 1" | 200 | 36 | 63 | 43 | 71 | 75 | 77 | 91 | 85 | 74 | 30 | 86 | 73 | 90 | 58 | 87 | 92 | 0 | 40 | 80 | 100.00 | 6,750,000$/1yrs | |
0 | ![]() | D | 6' 3" | 212 | 33 | 85 | 42 | 66 | 72 | 86 | 90 | 82 | 71 | 30 | 81 | 70 | 90 | 58 | 84 | 75 | 0 | 40 | 79 | 100.00 | 6,000,000$/1yrs | |
0 | ![]() | D | 6' 4" | 221 | 24 | 86 | 58 | 68 | 70 | 91 | 90 | 92 | 69 | 30 | 79 | 67 | 78 | 55 | 69 | 66 | 0 | 40 | 76 | 100.00 | 3,200,000$/3yrs | |
0 | ![]() | D | 6' 1" | 185 | 29 | 54 | 39 | 82 | 75 | 76 | 87 | 86 | 74 | 30 | 76 | 65 | 80 | 55 | 78 | 75 | 0 | 40 | 76 | 100.00 | 4,650,400$/3yrs | |
0 | ![]() | D | 6' 3" | 206 | 29 | 85 | 45 | 69 | 68 | 85 | 82 | 67 | 66 | 30 | 72 | 58 | 77 | 52 | 78 | 71 | 0 | 40 | 73 | 100.00 | 750,000$/3yrs | |
0 | ![]() | D | 5' 10" | 186 | 25 | 74 | 39 | 81 | 67 | 68 | 83 | 88 | 66 | 30 | 74 | 61 | 76 | 55 | 72 | 66 | 0 | 40 | 73 | 100.00 | 2,325,000$/3yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C/LW | 6' 1" | 206 | 25 | 72 | 41 | 90 | 68 | 79 | 82 | 84 | 66 | 80 | 68 | 65 | 81 | 66 | 71 | 72 | 0 | 40 | 74 | 100.00 | 2,280,000$/2yrs | |
0 | ![]() | C/LW | 6' 0" | 185 | 25 | 80 | 45 | 82 | 66 | 71 | 78 | 77 | 64 | 81 | 65 | 65 | 85 | 64 | 71 | 68 | 0 | 40 | 73 | 100.00 | 750,000$/2yrs | |
0 | ![]() | D | 6' 5" | 210 | 25 | 64 | 43 | 89 | 65 | 91 | 80 | 71 | 64 | 30 | 63 | 63 | 72 | 53 | 71 | 67 | 0 | 40 | 71 | 100.00 | 750,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 2" | 185 | 35 | 97 | 93 | 95 | 97 | 97 | 96 | 86 | 90 | 0 | 40 | 81 | 100.00 | 7,000,000$/2yrs | |||||||
0 | ![]() | 6' 0" | 179 | 29 | 84 | 76 | 78 | 84 | 84 | 83 | 78 | 84 | 0 | 40 | 73 | 100.00 | 950,000$/3yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 86 | 86 | 83 | 84 | 84 | 84 | 1 | CAN | 54 | 1 | 525,000$ |
General Manager | Yanick Franche |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | William Karlsson | 0 | C | 33 | 15 | 17 | 32 | 15 | 6 | 0 | 10 | 98 | 22 | 75 | 15.31% | 3 | 17.43 | 5 | 6 | 11 | 98 | 0 | 1 | 1 | 68 | 4 | 1 | 53.19% | 705 | 0 | 0 | 0 | 0 | 1.11 | 0 | 0 | ||
2 | Mark Giordano | 0 | D | 33 | 8 | 23 | 31 | 12 | 11 | 5 | 20 | 54 | 13 | 37 | 14.81% | 54 | 23.91 | 4 | 6 | 10 | 98 | 0 | 1 | 1 | 116 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | ||
3 | Claude Giroux | 0 | C/LW/RW | 33 | 7 | 17 | 24 | 3 | 2 | 0 | 13 | 67 | 15 | 64 | 10.45% | 1 | 16.43 | 2 | 5 | 7 | 103 | 0 | 0 | 0 | 0 | 3 | 0 | 53.90% | 679 | 0 | 0 | 0 | 0 | 0.89 | 0 | 1 | ||
4 | Leon Draisaitl | 0 | C/LW/RW | 33 | 10 | 12 | 22 | 5 | 2 | 0 | 11 | 83 | 29 | 77 | 12.05% | 3 | 17.63 | 3 | 5 | 8 | 96 | 0 | 0 | 0 | 44 | 3 | 1 | 60.27% | 73 | 0 | 0 | 0 | 0 | 0.76 | 0 | 1 | ||
5 | Bryan Rust | 0 | LW/RW | 33 | 7 | 14 | 21 | 7 | 38 | 0 | 70 | 94 | 29 | 87 | 7.45% | 4 | 18.35 | 1 | 8 | 9 | 103 | 1 | 0 | 1 | 67 | 3 | 0 | 29.73% | 37 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
6 | TJ Brodie | 0 | D | 33 | 5 | 16 | 21 | 8 | 4 | 0 | 6 | 36 | 8 | 19 | 13.89% | 33 | 21.37 | 4 | 6 | 10 | 99 | 0 | 0 | 0 | 117 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
7 | Jonathan Marchessault | 0 | LW/RW | 33 | 9 | 7 | 16 | 13 | 18 | 0 | 46 | 60 | 19 | 36 | 15.00% | 1 | 15.02 | 0 | 3 | 3 | 98 | 0 | 0 | 0 | 0 | 2 | 2 | 47.50% | 40 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | ||
8 | J.T. Compher | 0 | C/LW/RW | 33 | 5 | 9 | 14 | 8 | 2 | 0 | 1 | 36 | 14 | 22 | 13.89% | 6 | 9.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.19% | 389 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
9 | Brendan Gallagher | 0 | RW | 33 | 4 | 9 | 13 | 14 | 16 | 0 | 61 | 53 | 8 | 39 | 7.55% | 2 | 15.26 | 2 | 1 | 3 | 101 | 0 | 0 | 0 | 0 | 0 | 1 | 53.66% | 41 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
10 | Jesper Fast | 0 | RW | 33 | 6 | 7 | 13 | 8 | 8 | 0 | 29 | 29 | 4 | 28 | 20.69% | 2 | 9.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
11 | Troy Stecher | 0 | D | 33 | 1 | 11 | 12 | 11 | 14 | 0 | 40 | 16 | 3 | 9 | 6.25% | 29 | 16.05 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 50 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
12 | Alex Galchenyuk | 0 | C/LW | 33 | 7 | 4 | 11 | 4 | 10 | 0 | 11 | 41 | 8 | 18 | 17.07% | 0 | 11.80 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 19 | 0 | 0 | 51.52% | 33 | 0 | 0 | 1 | 0 | 0.57 | 0 | 0 | ||
13 | Phillip Danault | 0 | C | 33 | 4 | 7 | 11 | 4 | 14 | 0 | 32 | 49 | 8 | 39 | 8.16% | 7 | 15.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 1 | 0 | 51.53% | 685 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
14 | Darnell Nurse | 0 | D | 33 | 3 | 7 | 10 | 9 | 47 | 5 | 99 | 37 | 12 | 22 | 8.11% | 32 | 22.20 | 2 | 0 | 2 | 101 | 0 | 0 | 0 | 101 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
15 | Alexander Edler | 0 | D | 33 | 1 | 8 | 9 | 10 | 64 | 0 | 90 | 45 | 18 | 28 | 2.22% | 45 | 22.14 | 1 | 1 | 2 | 101 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
16 | Luca Sbisa | 0 | D | 33 | 2 | 5 | 7 | 12 | 39 | 5 | 80 | 8 | 5 | 7 | 25.00% | 24 | 14.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
17 | Yanni Gourde | 0 | C/LW/RW | 33 | 2 | 4 | 6 | 4 | 21 | 5 | 46 | 45 | 15 | 43 | 4.44% | 2 | 11.01 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 54.17% | 24 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
18 | Noel Acciari | 0 | C/LW/RW | 33 | 3 | 2 | 5 | 8 | 30 | 0 | 62 | 34 | 2 | 14 | 8.82% | 9 | 13.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 1 | 0 | 54.76% | 42 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
Team Total or Average | 594 | 99 | 179 | 278 | 155 | 346 | 20 | 727 | 885 | 232 | 664 | 11.19% | 257 | 16.25 | 24 | 41 | 65 | 1017 | 1 | 2 | 3 | 967 | 21 | 8 | 52.49% | 2770 | 0 | 0 | 1 | 0 | 0.58 | 0 | 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 | Marc-Andre Fleury | 24 | 15 | 5 | 2 | 0.916 | 2.36 | 1298 | 2 | 0 | 51 | 608 | 0 | 0 | 0 | 0.000 | 0 | 22 | 11 | 2 | 2 | 1 | |
2 | Pavel Francouz | 12 | 6 | 4 | 1 | 0.898 | 2.78 | 690 | 0 | 2 | 32 | 315 | 0 | 0 | 0 | 0.500 | 2 | 11 | 22 | 2 | 0 | 0 | |
Team Total or Average | 36 | 21 | 9 | 3 | 0.910 | 2.51 | 1988 | 2 | 2 | 83 | 923 | 0 | 0 | 0 | 0.500 | 2 | 33 | 33 | 4 | 2 | 1 |
Projected Total Cap Hit | 90,497,066$ |
Projected Cap Space | 1,002,934$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Galchenyuk ![]() | C/LW | 25 | 4,900,000$ | 4,900,000$ | |||||||
Alexander Edler ![]() | D | 33 | 6,000,000$ | 6,000,000$ | |||||||
Andrew Copp ![]() | C/LW | 25 | 2,280,000$ | 2,280,000$ | 2,280,000$ | ||||||
Brendan Gallagher ![]() | RW | 27 | 3,750,000$ | 3,750,000$ | |||||||
Bryan Rust ![]() | LW/RW | 27 | 3,500,000$ | 3,500,000$ | |||||||
Carson Soucy ![]() | D | 25 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Claude Giroux ![]() | C/LW/RW | 32 | 8,275,000$ | 8,275,000$ | 8,275,000$ | ||||||
Darnell Nurse ![]() | D | 24 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | |||||
J.T. Compher ![]() | C/LW/RW | 24 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Jesper Fast ![]() | RW | 28 | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | |||||
Jonathan Marchessault ![]() | LW/RW | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Leon Draisaitl ![]() | C/LW/RW | 24 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | |||||
Luca Sbisa ![]() | D | 29 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Marc-Andre Fleury ![]() | C/RW | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||||
Mark Giordano ![]() | D | 36 | 6,750,000$ | 6,750,000$ | |||||||
Noel Acciari ![]() | C/LW/RW | 28 | 1,666,667$ | 1,666,667$ | 1,666,667$ | 1,666,667$ | |||||
Pavel Francouz ![]() | D | 29 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Phillip Danault ![]() | C | 26 | 3,083,333$ | 3,083,333$ | |||||||
TJ Brodie ![]() | D | 29 | 4,650,400$ | 4,650,400$ | 4,650,400$ | 4,650,400$ | |||||
Teddy Blueger ![]() | C/LW | 25 | 750,000$ | 750,000$ | 750,000$ | ||||||
Troy Stecher ![]() | D | 25 | 2,325,000$ | 2,325,000$ | 2,325,000$ | 2,325,000$ | |||||
William Karlsson ![]() | C | 27 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | |||||
Yanni Gourde ![]() | C/LW/RW | 28 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ |
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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 |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 28 | 9 | 12 | 7 | 0 | 24 | 6 | 4 | 19 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 24 | 16 | 24 | 6 | 11 | 6 | 66.7% | 10.7% | 91.7% | 102.4 | LUCKY | |
2 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 17 | -1 | 4 | 0.500 | 16 | 27 | 43 | 0 | 0 | 6 | 7 | 3 | 0 | 122 | 31 | 48 | 43 | 0 | 114 | 42 | 45 | 94 | 15 | 4 | 26.67% | 20 | 9 | 55.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 99 | 70 | 89 | 29 | 51 | 25 | 60.0% | 13.1% | 85.1% | 98.2 | FUN | |
3 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 0.750 | 12 | 21 | 33 | 0 | 0 | 3 | 3 | 6 | 0 | 114 | 33 | 43 | 38 | 0 | 104 | 33 | 37 | 102 | 15 | 4 | 26.67% | 16 | 5 | 68.75% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 101 | 68 | 86 | 29 | 51 | 27 | 72.7% | 10.5% | 92.3% | 102.8 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 4 | 10 | 7 | 0 | 36 | 8 | 18 | 22 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 20 | 13 | 25 | 7 | 13 | 6 | 0.0% | 0.0% | 91.7% | 91.7 | DULL | |
5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 31 | 9 | 11 | 11 | 0 | 30 | 5 | 12 | 24 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 26 | 17 | 22 | 6 | 12 | 6 | 66.7% | 9.7% | 86.7% | 96.3 | FUN | |
6 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 1 | 2 | 2 | 2 | 1 | 41 | 14 | 12 | 14 | 1 | 77 | 21 | 16 | 51 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 47 | 32 | 48 | 13 | 25 | 12 | 77.8% | 17.1% | 96.1% | 113.2 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 8 | 12 | 6 | 0 | 25 | 6 | 4 | 17 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 25 | 18 | 21 | 6 | 12 | 6 | 25.0% | 3.8% | 88.0% | 91.8 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 0 | 4 | 0 | 55 | 26 | 11 | 18 | 0 | 54 | 23 | 16 | 33 | 9 | 2 | 22.22% | 7 | 3 | 57.14% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 49 | 34 | 46 | 13 | 23 | 11 | 40.0% | 7.3% | 88.9% | 96.2 | Unlucky | |
9 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 1 | 1 | 59 | 8 | 23 | 27 | 1 | 58 | 11 | 33 | 39 | 8 | 1 | 12.50% | 14 | 2 | 85.71% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 52 | 36 | 43 | 14 | 24 | 12 | 60.0% | 6.8% | 93.1% | 99.9 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 32 | 10 | 9 | 13 | 0 | 17 | 1 | 6 | 18 | 8 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 30 | 22 | 17 | 7 | 12 | 7 | 60.0% | 9.4% | 88.2% | 97.6 | FUN | |
11 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 0 | 5 | 1 | 1 | 64 | 21 | 20 | 16 | 10 | 64 | 12 | 26 | 43 | 4 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 54 | 38 | 47 | 14 | 26 | 13 | 63.6% | 10.9% | 89.1% | 100.0 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 1 | 2 | 3 | 0 | 44 | 14 | 10 | 20 | 0 | 39 | 6 | 25 | 35 | 10 | 2 | 20.00% | 8 | 0 | 100.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 51 | 36 | 43 | 14 | 24 | 12 | 80.0% | 13.6% | 97.4% | 111.1 | LUCKY | |
13 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 9 | 12 | 11 | 1 | 23 | 12 | 10 | 26 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 25 | 17 | 21 | 7 | 13 | 7 | 40.0% | 9.1% | 82.6% | 91.7 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 34 | 12 | 15 | 7 | 0 | 17 | 9 | 6 | 26 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 25 | 18 | 21 | 6 | 13 | 6 | 100.0% | 5.9% | 94.1% | 100.0 | DULL | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 5 | 1 | 1 | 0 | 52 | 28 | 13 | 11 | 0 | 49 | 23 | 14 | 40 | 11 | 4 | 36.36% | 5 | 1 | 80.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 46 | 32 | 48 | 14 | 25 | 13 | 50.0% | 13.5% | 91.8% | 105.3 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 20 | 4 | 12 | 4 | 0 | 32 | 6 | 10 | 20 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 22 | 15 | 25 | 7 | 12 | 6 | 75.0% | 20.0% | 96.9% | 116.9 | LUCKY | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 22 | 34 | 0 | 0 | 3 | 6 | 3 | 0 | 71 | 15 | 31 | 25 | 0 | 96 | 13 | 42 | 75 | 7 | 1 | 14.29% | 20 | 5 | 75.00% | 1 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 74 | 51 | 70 | 19 | 35 | 17 | 73.3% | 16.9% | 90.6% | 107.5 | FUN | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 38 | 13 | 13 | 12 | 0 | 64 | 20 | 24 | 43 | 5 | 1 | 20.00% | 12 | 3 | 75.00% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 48 | 32 | 44 | 14 | 26 | 13 | 66.7% | 13.2% | 92.2% | 105.3 | LUCKY | |
_Vs Division | 8 | 3 | 3 | 0 | 1 | 0 | 0 | 1 | 26 | 29 | -3 | 9 | 0.563 | 26 | 46 | 72 | 0 | 0 | 6 | 14 | 5 | 1 | 235 | 65 | 90 | 73 | 10 | 238 | 68 | 93 | 178 | 29 | 5 | 17.24% | 41 | 14 | 65.85% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 198 | 138 | 186 | 58 | 103 | 52 | 58.3% | 11.1% | 87.8% | 98.9 | FUN | |
_Vs Conference | 16 | 9 | 5 | 0 | 1 | 0 | 0 | 1 | 47 | 45 | 2 | 21 | 0.656 | 47 | 82 | 129 | 0 | 1 | 13 | 18 | 15 | 1 | 444 | 151 | 145 | 141 | 10 | 422 | 127 | 158 | 321 | 70 | 13 | 18.57% | 65 | 18 | 72.31% | 0 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 401 | 282 | 363 | 114 | 202 | 103 | 55.7% | 10.6% | 89.3% | 99.9 | FUN | |
_Since Last GM Reset | 33 | 18 | 9 | 0 | 3 | 2 | 0 | 1 | 99 | 84 | 15 | 45 | 0.682 | 99 | 179 | 278 | 0 | 2 | 30 | 37 | 29 | 3 | 885 | 268 | 317 | 290 | 13 | 923 | 257 | 348 | 727 | 127 | 24 | 18.90% | 153 | 39 | 74.51% | 1 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 824 | 573 | 748 | 234 | 418 | 212 | 62.5% | 11.2% | 90.9% | 102.1 | FUN | |
Total | 33 | 18 | 9 | 0 | 3 | 2 | 0 | 1 | 99 | 84 | 15 | 45 | 0.682 | 99 | 179 | 278 | 0 | 2 | 30 | 37 | 29 | 3 | 885 | 268 | 317 | 290 | 13 | 923 | 257 | 348 | 727 | 127 | 24 | 18.90% | 153 | 39 | 74.51% | 1 | 587 | 1140 | 51.49% | 583 | 1114 | 52.33% | 284 | 502 | 56.57% | 824 | 573 | 748 | 234 | 418 | 212 | 62.5% | 11.2% | 90.9% | 102.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1140 |
Neutral Zone Start | 502 |
Defensive Zone Start | 1114 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1454 |
Faceoffs Lost | 1302 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.1 | 9.57 |
2nd Period | 17.7 | 20.31 |
3rd Period | 26.5 | 30.68 |
Overtime | 26.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 74 |
---|---|
PP Goal | 24 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 11 |
Lost | 6 | 3 |
Overtime Lost | 1 | 2 |
PP Attempt | 127 |
---|---|
PP Goal | 24 |
PK Attempt | 153 |
PK Goal Against | 39 |
Home | |
---|---|
Shots For | 26.8 |
Shots Against | 28.0 |
Goals For | 3.0 |
Goals Against | 2.5 |
Hits | 22.0 |
Shots Blocked | 7.8 |
Pim | 10.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
90,497,066$ | 0$ | 90,497,066$ | 1,002,934$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | T-Mobile Arena | |
City | Las 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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
24 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
90,497,066$ | 90,497,066$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 90,497,066$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 99 | 535,424$ | 53,006,976$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
68,136,651$ | 90,497,066$ | 0$ | -68,136,651$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Aidan McDonough | |||||
Colten Ellis | |||||
Domenick Fensore | |||||
Felix Bibeau | |||||
Isaiah Saville | |||||
Jan Jenik | |||||
Layton Ahac | |||||
Marc Del Gaizo | |||||
Mark Kastelic | |||||
Mikko Kokkonen | |||||
Nicolas Beaudin | |||||
Peyton Krebs | |||||
Reece Newkirk |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Aidan McDonough | |||||
Colten Ellis | |||||
Domenick Fensore | |||||
Felix Bibeau | |||||
Isaiah Saville | |||||
Jan Jenik | |||||
Layton Ahac | |||||
Marc Del Gaizo | |||||
Mark Kastelic | |||||
Mikko Kokkonen | |||||
Nicolas Beaudin | |||||
Peyton Krebs | |||||
Reece Newkirk |
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