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Full Scoreboard »» |
Vegas Golden Knights 33-21-1, 67pts · 5th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 75 | 44 | 89 | 83 | 76 | 78 | 79 | 82 | 87 | 81 | 73 | 69 | 25 | 59 | 59 | 76 | 50 | 0 | 22 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 42 | 81 | 82 | 73 | 79 | 95 | 98 | 41 | 84 | 87 | 67 | 80 | 63 | 64 | 82 | 50 | 0 | 22 | 7,000,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 59 | 73 | 85 | 74 | 75 | 97 | 72 | 42 | 75 | 87 | 82 | 45 | 73 | 77 | 82 | 50 | 0 | 31 | 4,900,000$/4yrs | |||
![]() | 0 | C | 100.00 | 73 | 43 | 90 | 87 | 73 | 80 | 99 | 80 | 90 | 74 | 71 | 86 | 30 | 83 | 84 | 77 | 50 | 0 | 34 | 5,350,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 95 | 57 | 90 | 73 | 76 | 67 | 82 | 66 | 41 | 65 | 58 | 89 | 25 | 55 | 55 | 70 | 50 | 0 | 25 | 762,500$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 90 | 80 | 66 | 73 | 71 | 87 | 33 | 79 | 88 | 73 | 25 | 54 | 54 | 82 | 50 | 0 | 19 | 894,167$/2yrs | |||
![]() | 0 | RW | 100.00 | 67 | 42 | 99 | 74 | 68 | 62 | 61 | 67 | 41 | 78 | 80 | 74 | 25 | 45 | 45 | 80 | 50 | 0 | 21 | 925,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 44 | 87 | 78 | 68 | 62 | 83 | 65 | 55 | 54 | 59 | 87 | 25 | 67 | 69 | 68 | 50 | 0 | 28 | 800,000$/1yrs | |||
![]() | 0 | C | 99.00 | 67 | 42 | 90 | 88 | 70 | 76 | 93 | 84 | 97 | 80 | 89 | 79 | 79 | 74 | 79 | 84 | 50 | 0 | 30 | 5,900,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 42 | 86 | 84 | 67 | 81 | 98 | 90 | 68 | 86 | 74 | 77 | 68 | 81 | 83 | 79 | 50 | 0 | 30 | 5,125,000$/6yrs | |||
![]() | 0 | LW/RW | 99.00 | 71 | 42 | 94 | 92 | 62 | 81 | 99 | 92 | 36 | 89 | 84 | 69 | 50 | 71 | 72 | 83 | 50 | 0 | 25 | 7,875,000$/8yrs | |||
![]() | 0 | C/RW | 100.00 | 88 | 45 | 93 | 74 | 71 | 63 | 83 | 66 | 91 | 55 | 58 | 91 | 25 | 68 | 72 | 68 | 50 | 0 | 31 | 2,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 56 | 86 | 77 | 81 | 80 | 77 | 64 | 25 | 60 | 47 | 92 | 25 | 70 | 73 | 66 | 50 | 0 | 29 | 5,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 89 | 79 | 75 | 78 | 73 | 67 | 25 | 55 | 48 | 90 | 25 | 53 | 53 | 64 | 50 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 45 | 91 | 82 | 75 | 81 | 96 | 63 | 25 | 54 | 50 | 86 | 25 | 65 | 66 | 67 | 50 | 0 | 23 | 2,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 90 | 76 | 62 | 63 | 70 | 61 | 25 | 52 | 47 | 67 | 25 | 47 | 47 | 59 | 50 | 0 | 22 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 45 | 86 | 80 | 70 | 83 | 96 | 61 | 25 | 66 | 48 | 86 | 25 | 73 | 75 | 68 | 50 | 0 | 30 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 85 | 93 | 69 | 91 | 92 | 90 | 25 | 76 | 54 | 73 | 63 | 69 | 71 | 71 | 50 | 0 | 24 | 8,450,000$/6yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 88 | 80 | 79 | 81 | 92 | 63 | 25 | 56 | 49 | 86 | 25 | 67 | 68 | 65 | 50 | 0 | 27 | 5,875,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.89 | 74 | 45 | 88 | 81 | 71 | 75 | 86 | 75 | 47 | 69 | 66 | 80 | 38 | 65 | 67 | 73 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 74 | 58 | 58 | 81 | 80 | 68 | 75 | 72 | 80 | 74 | 56 | 59 | 60 | 72 | 50 | 0 | 30 | 1,750,000$/1yrs |
![]() | 0 | 100.00 | 64 | 72 | 70 | 73 | 65 | 62 | 71 | 65 | 65 | 64 | 81 | 57 | 58 | 66 | 50 | 0 | 25 | 3,750,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 69 | 65 | 64 | 77 | 73 | 65 | 73 | 69 | 73 | 69 | 69 | 58 | 59 | 69 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 86 | 56 | 83 | 80 | 81 | 65 | 77 | 68 | 25 | 70 | 71 | 69 | 25 | 54 | 55 | 72 | 68 | 0 | 20 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 69 | 42 | 93 | 75 | 67 | 56 | 89 | 61 | 55 | 59 | 58 | 71 | 25 | 57 | 57 | 65 | 68 | 0 | 23 | 883,750$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 41 | 93 | 77 | 64 | 65 | 57 | 67 | 72 | 75 | 68 | 65 | 25 | 47 | 47 | 69 | 68 | 0 | 19 | 870,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 75 | 43 | 91 | 66 | 67 | 59 | 52 | 66 | 26 | 65 | 57 | 76 | 25 | 45 | 45 | 65 | 68 | 0 | 21 | 912,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 83 | 58 | 74 | 79 | 67 | 68 | 81 | 69 | 66 | 64 | 71 | 75 | 25 | 55 | 55 | 72 | 68 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | RW | 100.00 | 78 | 44 | 87 | 75 | 72 | 76 | 92 | 84 | 34 | 63 | 77 | 66 | 38 | 55 | 55 | 74 | 68 | 0 | 21 | 863,333$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 62 | 92 | 72 | 62 | 78 | 83 | 62 | 50 | 61 | 59 | 63 | 56 | 48 | 49 | 64 | 68 | 0 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 77 | 85 | 65 | 77 | 74 | 82 | 47 | 25 | 37 | 41 | 62 | 39 | 44 | 44 | 54 | 68 | 0 | 20 | 814,167$/3yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Olivier Moreau |
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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 | Jesper Bratt | 0 | LW/RW | 55 | 31 | 44 | 75 | 4 | 0 | 0 | 70 | 250 | 68 | 125 | 12.40% | 20 | 18.53 | 12 | 18 | 30 | 156 | 0 | 0 | 0 | 0 | 3 | 4 | 33.33% | 72 | 54 | 10 | 0 | 1 | 1.47 | 3 | 6 | ||
2 | William Karlsson | 0 | C | 55 | 26 | 44 | 70 | 12 | 10 | 0 | 56 | 198 | 78 | 137 | 13.13% | 20 | 19.74 | 7 | 17 | 24 | 156 | 0 | 0 | 0 | 1 | 4 | 3 | 57.21% | 1505 | 35 | 14 | 0 | 0 | 1.29 | 2 | 3 | ||
3 | Matthew Boldy | 0 | LW/RW | 55 | 29 | 39 | 68 | 8 | 30 | 0 | 76 | 211 | 49 | 131 | 13.74% | 26 | 18.76 | 11 | 16 | 27 | 155 | 0 | 1 | 1 | 41 | 3 | 3 | 28.57% | 56 | 46 | 11 | 0 | 0 | 1.32 | 0 | 1 | ||
4 | Ryan Nugent-Hopkins | 0 | C/LW | 55 | 18 | 31 | 49 | 9 | 24 | 0 | 76 | 154 | 40 | 80 | 11.69% | 19 | 16.46 | 4 | 7 | 11 | 113 | 0 | 0 | 0 | 0 | 4 | 1 | 51.11% | 45 | 24 | 19 | 0 | 2 | 1.08 | 2 | 6 | ||
5 | Shane Pinto | 0 | C | 55 | 13 | 26 | 39 | 6 | 2 | 0 | 69 | 83 | 32 | 40 | 15.66% | 10 | 16.62 | 3 | 6 | 9 | 113 | 1 | 0 | 1 | 45 | 3 | 0 | 53.39% | 590 | 17 | 14 | 0 | 0 | 0.85 | 0 | 0 | ||
6 | Miro Heiskanen | 0 | D | 55 | 8 | 27 | 35 | 7 | 18 | 0 | 92 | 98 | 38 | 49 | 8.16% | 67 | 24.21 | 6 | 4 | 10 | 172 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 0 | 24 | 41 | 0 | 0 | 0.53 | 0 | 1 | ||
7 | Dylan Guenther | 0 | LW/RW | 55 | 19 | 14 | 33 | 0 | 10 | 0 | 63 | 102 | 40 | 60 | 18.63% | 12 | 13.84 | 3 | 5 | 8 | 113 | 0 | 0 | 0 | 1 | 4 | 2 | 31.25% | 32 | 24 | 10 | 0 | 0 | 0.87 | 0 | 0 | ||
8 | Mikael Backlund | 0 | C | 55 | 14 | 13 | 27 | 7 | 8 | 0 | 70 | 119 | 42 | 68 | 11.76% | 9 | 13.14 | 0 | 0 | 0 | 7 | 2 | 1 | 3 | 55 | 2 | 0 | 51.79% | 392 | 33 | 13 | 0 | 0 | 0.75 | 0 | 1 | ||
9 | Adam Pelech | 0 | D | 55 | 0 | 25 | 25 | 12 | 24 | 0 | 61 | 62 | 26 | 34 | 0.00% | 75 | 24.01 | 0 | 8 | 8 | 171 | 0 | 1 | 1 | 131 | 0 | 0 | 0.00% | 0 | 4 | 47 | 0 | 0 | 0.38 | 0 | 0 | ||
10 | Blake Coleman | 0 | LW/RW | 55 | 12 | 11 | 23 | 9 | 64 | 10 | 108 | 74 | 27 | 39 | 16.22% | 20 | 15.82 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 8 | 3 | 0 | 26.53% | 49 | 15 | 12 | 0 | 0 | 0.53 | 0 | 1 | ||
11 | Noel Acciari | 0 | C/RW | 55 | 8 | 10 | 18 | 2 | 11 | 5 | 38 | 92 | 33 | 57 | 8.70% | 14 | 11.17 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 129 | 0 | 0 | 54.52% | 398 | 10 | 6 | 1 | 0 | 0.59 | 0 | 0 | ||
12 | Alexander Romanov | 0 | D | 55 | 1 | 12 | 13 | 8 | 20 | 0 | 82 | 52 | 19 | 24 | 1.92% | 62 | 23.02 | 0 | 4 | 4 | 103 | 0 | 1 | 1 | 80 | 1 | 0 | 0.00% | 0 | 9 | 39 | 0 | 0 | 0.21 | 0 | 0 | ||
13 | Beck Malenstyn | 0 | C/LW | 55 | 9 | 4 | 13 | 1 | 10 | 0 | 64 | 90 | 28 | 46 | 10.00% | 10 | 11.38 | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 126 | 0 | 0 | 25.93% | 27 | 16 | 14 | 2 | 0 | 0.42 | 0 | 1 | ||
14 | Tyler Motte | 0 | LW/RW | 55 | 5 | 8 | 13 | 3 | 14 | 0 | 58 | 67 | 23 | 58 | 7.46% | 16 | 9.75 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 51 | 0 | 2 | 20.00% | 5 | 14 | 9 | 0 | 0 | 0.48 | 0 | 0 | ||
15 | Vladislav Gavrikov | 0 | D | 55 | 0 | 13 | 13 | 6 | 35 | 5 | 48 | 42 | 17 | 12 | 0.00% | 53 | 17.32 | 0 | 0 | 0 | 38 | 0 | 2 | 2 | 127 | 0 | 0 | 0.00% | 0 | 7 | 16 | 0 | 0 | 0.27 | 0 | 0 | ||
16 | Josh Doan | 0 | RW | 55 | 4 | 7 | 11 | 2 | 0 | 0 | 38 | 51 | 20 | 35 | 7.84% | 16 | 11.54 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 39.13% | 23 | 14 | 18 | 0 | 0 | 0.35 | 0 | 0 | ||
17 | Dylan DeMelo | 0 | D | 54 | 1 | 8 | 9 | -10 | 35 | 5 | 63 | 42 | 14 | 15 | 2.38% | 48 | 19.30 | 0 | 3 | 3 | 94 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 7 | 27 | 0 | 0 | 0.17 | 0 | 0 | ||
18 | Jackson LaCombe | 0 | D | 55 | 0 | 7 | 7 | 5 | 12 | 0 | 47 | 37 | 16 | 10 | 0.00% | 43 | 14.92 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 86 | 0 | 0 | 0.00% | 1 | 4 | 39 | 0 | 0 | 0.17 | 0 | 0 | ||
19 | Ryan Johnson | 0 | D | 55 | 0 | 2 | 2 | 2 | 0 | 0 | 10 | 7 | 3 | 7 | 0.00% | 18 | 5.81 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 21 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.13 | 0 | 0 | ||
Team Total or Average | 1044 | 198 | 345 | 543 | 93 | 327 | 25 | 1189 | 1831 | 613 | 1027 | 10.81% | 558 | 16.07 | 47 | 88 | 135 | 1420 | 6 | 11 | 17 | 962 | 28 | 17 | 53.18% | 3195 | 358 | 364 | 3 | 3 | 0.65 | 7 | 20 |
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 | Filip Gustavsson | 35 | 18 | 13 | 1 | 0.893 | 3.29 | 1934 | 2 | 0 | 106 | 989 | 541 | 2 | 0 | 0.938 | 16 | 32 | 23 | 1 | 3 | 3 | |
2 | Laurent Brossoit | 27 | 15 | 8 | 0 | 0.905 | 2.76 | 1390 | 2 | 0 | 64 | 673 | 355 | 2 | 0 | 0.833 | 6 | 23 | 32 | 0 | 0 | 4 | |
Team Total or Average | 62 | 33 | 21 | 1 | 0.898 | 3.07 | 3324 | 4 | 0 | 170 | 1662 | 896 | 4 | 0 | 0.909 | 22 | 55 | 55 | 1 | 3 | 7 |
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 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 10 | 6 | 6 | 0.750 | 16 | 28 | 44 | 0 | 0 | 4 | 5 | 7 | 0 | 137 | 39 | 48 | 50 | 0 | 107 | 35 | 18 | 98 | 17 | 3 | 17.65% | 9 | 3 | 66.67% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 91 | 54 | 78 | 35 | 70 | 35 | 65.0% | 11.7% | 90.7% | 102.3 | FUN | |
2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 50 | 22 | 15 | 12 | 1 | 50 | 31 | 8 | 34 | 8 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 43 | 23 | 39 | 17 | 37 | 19 | 55.6% | 10.0% | 90.0% | 100.0 | FUN | |
3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 4 | 0 | 5 | 0 | 102 | 27 | 38 | 37 | 0 | 85 | 30 | 20 | 62 | 9 | 3 | 33.33% | 10 | 3 | 70.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 67 | 40 | 60 | 26 | 51 | 26 | 60.0% | 8.8% | 91.8% | 100.6 | DULL | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 1 | 3 | 3 | 1 | 74 | 27 | 24 | 22 | 1 | 64 | 19 | 6 | 55 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 17 | 34 | 17 | 58.3% | 10.8% | 92.2% | 103.0 | LUCKY | |
5 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 11 | -4 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 0 | 3 | 3 | 1 | 65 | 22 | 23 | 18 | 4 | 74 | 14 | 8 | 45 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 48 | 30 | 41 | 16 | 34 | 17 | 40.0% | 10.8% | 85.1% | 95.9 | FUN | |
6 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 9 | 16 | 0 | 0 | 1 | 4 | 1 | 2 | 96 | 30 | 35 | 29 | 4 | 106 | 40 | 20 | 64 | 9 | 1 | 11.11% | 10 | 2 | 80.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 68 | 40 | 63 | 26 | 53 | 25 | 42.9% | 7.3% | 90.6% | 97.9 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 36 | 13 | 12 | 11 | 0 | 31 | 11 | 0 | 24 | 4 | 2 | 50.00% | 0 | 0 | 0.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 14 | 21 | 7 | 15 | 8 | 40.0% | 11.1% | 90.3% | 101.4 | FUN | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 3 | 4 | 0 | 0 | 60 | 30 | 18 | 12 | 0 | 57 | 9 | 16 | 36 | 2 | 1 | 50.00% | 8 | 3 | 62.50% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 41 | 24 | 42 | 17 | 35 | 17 | 54.5% | 11.7% | 86.0% | 97.6 | FUN | |
9 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 1 | 3 | 1 | 3 | 69 | 25 | 21 | 21 | 7 | 62 | 20 | 12 | 48 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 49 | 29 | 41 | 19 | 38 | 19 | 62.5% | 10.1% | 91.9% | 102.1 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 31 | 7 | 15 | 9 | 0 | 31 | 6 | 5 | 15 | 5 | 3 | 60.00% | 0 | 0 | 0.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 13 | 21 | 8 | 16 | 8 | 66.7% | 16.1% | 96.8% | 112.9 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 38 | 14 | 16 | 8 | 0 | 30 | 19 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 21 | 13 | 23 | 8 | 15 | 7 | 80.0% | 10.5% | 96.7% | 107.2 | LUCKY | |
12 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 15 | 9 | 6 | 1.000 | 24 | 39 | 63 | 0 | 0 | 4 | 9 | 10 | 1 | 113 | 28 | 38 | 46 | 1 | 92 | 36 | 24 | 48 | 17 | 7 | 41.18% | 7 | 4 | 42.86% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 69 | 42 | 60 | 25 | 51 | 27 | 60.7% | 21.2% | 83.7% | 104.9 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 26 | 13 | 10 | 3 | 0 | 26 | 4 | 14 | 17 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 13 | 21 | 9 | 16 | 7 | 50.0% | 11.5% | 80.8% | 92.3 | FUN | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 57 | 24 | 25 | 8 | 0 | 63 | 23 | 12 | 38 | 6 | 2 | 33.33% | 6 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 44 | 26 | 40 | 18 | 35 | 17 | 33.3% | 8.8% | 90.5% | 99.2 | Unlucky | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 2 | 0.333 | 11 | 20 | 31 | 0 | 0 | 3 | 7 | 1 | 0 | 103 | 26 | 37 | 40 | 0 | 78 | 34 | 8 | 79 | 12 | 4 | 33.33% | 4 | 3 | 25.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 69 | 41 | 53 | 26 | 56 | 27 | 50.0% | 10.7% | 87.2% | 97.9 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 28 | 5 | 12 | 11 | 0 | 27 | 7 | 6 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 21 | 13 | 21 | 9 | 17 | 8 | 71.4% | 17.9% | 88.9% | 106.7 | FUN | |
17 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 0 | 3 | 5 | 0 | 90 | 24 | 26 | 37 | 11 | 86 | 32 | 15 | 63 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 63 | 35 | 66 | 29 | 54 | 27 | 45.5% | 8.9% | 91.9% | 100.7 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 60 | 22 | 21 | 17 | 0 | 73 | 22 | 16 | 34 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 44 | 26 | 43 | 16 | 32 | 15 | 30.0% | 6.7% | 89.0% | 95.7 | Unlucky | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 34 | 5 | 16 | 13 | 0 | 33 | 8 | 6 | 21 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 23 | 13 | 19 | 7 | 17 | 9 | 50.0% | 8.8% | 87.9% | 96.7 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 12 | 21 | 0 | 0 | 0 | 7 | 2 | 0 | 67 | 15 | 29 | 23 | 0 | 60 | 16 | 21 | 50 | 8 | 2 | 25.00% | 8 | 4 | 50.00% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 44 | 25 | 38 | 18 | 36 | 18 | 63.6% | 13.4% | 86.7% | 100.1 | FUN | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 2 | 10 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 2 | 2 | 8 | 0 | 72 | 24 | 19 | 29 | 0 | 55 | 23 | 14 | 49 | 5 | 2 | 40.00% | 7 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 18 | 34 | 16 | 83.3% | 16.7% | 96.4% | 113.0 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 75 | 29 | 16 | 30 | 0 | 63 | 16 | 10 | 43 | 6 | 0 | 0.00% | 5 | 3 | 40.00% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 16 | 34 | 18 | 66.7% | 8.0% | 90.5% | 98.5 | Unlucky | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 0 | 4 | 4 | 0 | 62 | 15 | 27 | 20 | 0 | 66 | 17 | 12 | 38 | 7 | 4 | 57.14% | 6 | 2 | 66.67% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 42 | 25 | 43 | 17 | 34 | 17 | 44.4% | 12.9% | 89.4% | 102.3 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 35 | 13 | 10 | 12 | 0 | 37 | 6 | 8 | 24 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 23 | 13 | 18 | 8 | 18 | 10 | 40.0% | 5.7% | 86.5% | 92.2 | Unlucky | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 34 | 7 | 16 | 11 | 0 | 27 | 12 | 10 | 11 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 14 | 20 | 9 | 16 | 8 | 66.7% | 11.8% | 92.6% | 104.4 | LUCKY | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 64 | 14 | 19 | 31 | 0 | 53 | 19 | 12 | 48 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 41 | 22 | 45 | 18 | 33 | 16 | 12.5% | 3.1% | 84.9% | 88.0 | Unlucky | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 67 | 17 | 17 | 33 | 0 | 64 | 12 | 2 | 41 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 17 | 34 | 17 | 66.7% | 13.4% | 93.8% | 107.2 | LUCKY | |
28 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 0 | 2 | 6 | 1 | 72 | 22 | 22 | 27 | 4 | 62 | 15 | 14 | 40 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 26 | 43 | 18 | 36 | 17 | 66.7% | 12.5% | 91.9% | 104.4 | LUCKY | |
_Vs Division | 17 | 10 | 5 | 0 | 0 | 0 | 1 | 1 | 66 | 44 | 22 | 23 | 0.676 | 66 | 113 | 179 | 0 | 0 | 10 | 26 | 29 | 1 | 562 | 150 | 192 | 216 | 15 | 494 | 151 | 74 | 374 | 62 | 19 | 30.65% | 31 | 10 | 67.74% | 2 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 380 | 225 | 346 | 153 | 303 | 151 | 58.0% | 11.7% | 91.1% | 102.8 | Unlucky | |
_Vs Conference | 34 | 19 | 11 | 0 | 1 | 0 | 2 | 1 | 137 | 99 | 38 | 45 | 0.662 | 137 | 233 | 370 | 0 | 0 | 30 | 49 | 55 | 4 | 1122 | 333 | 391 | 391 | 20 | 1005 | 328 | 204 | 699 | 116 | 37 | 31.90% | 91 | 25 | 72.53% | 2 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 761 | 456 | 695 | 306 | 597 | 298 | 57.5% | 12.2% | 90.1% | 102.4 | FUN | |
_Since Last GM Reset | 55 | 25 | 21 | 0 | 3 | 0 | 5 | 1 | 203 | 171 | 32 | 67 | 0.609 | 203 | 341 | 544 | 0 | 0 | 39 | 76 | 80 | 10 | 1817 | 559 | 625 | 620 | 33 | 1662 | 536 | 321 | 1165 | 183 | 47 | 25.68% | 147 | 43 | 70.75% | 6 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 1236 | 736 | 1130 | 490 | 964 | 486 | 54.9% | 11.2% | 89.7% | 100.9 | FUN | |
Total | 55 | 25 | 21 | 0 | 3 | 0 | 5 | 1 | 203 | 171 | 32 | 67 | 0.609 | 203 | 341 | 544 | 0 | 0 | 39 | 76 | 80 | 10 | 1817 | 559 | 625 | 620 | 33 | 1662 | 536 | 321 | 1165 | 183 | 47 | 25.68% | 147 | 43 | 70.75% | 6 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 1236 | 736 | 1130 | 490 | 964 | 486 | 54.9% | 11.2% | 89.7% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1209 |
Neutral Zone Start | 855 |
Defensive Zone Start | 1105 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1699 |
Faceoffs Lost | 1470 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 150 |
---|---|
PP Goal | 47 |
PK Goal | 6 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 14 |
Lost | 8 | 13 |
Overtime Lost | 1 | 0 |
PP Attempt | 183 |
---|---|
PP Goal | 47 |
PK Attempt | 147 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 30.2 |
Goals For | 3.7 |
Goals Against | 3.1 |
Hits | 21.2 |
Shots Blocked | 9.7 |
Pim | 5.8 |
Projected Total Cap Hit | 75,231,667$ |
Projected Cap Space | 8,268,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 47,653,008$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Golden Knights Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 29 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | ||
Alexander Romanov ![]() | D | 23 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Beck Malenstyn ![]() | C/LW | 25 | 762,500$ | 762,500$ | |||||||
Blake Coleman ![]() | LW/RW | 31 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | ||||
Dylan DeMelo ![]() | D | 30 | 3,000,000$ | 3,000,000$ | |||||||
Dylan Guenther ![]() | LW/RW | 19 | 894,167$ | 894,167$ | 894,167$ | ||||||
Filip Gustavsson ![]() | G | 25 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | |||||
Jackson LaCombe ![]() | D | 22 | 925,000$ | 925,000$ | |||||||
Jesper Bratt ![]() | LW/RW | 25 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ |
Josh Doan ![]() | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Laurent Brossoit ![]() | G | 30 | 1,750,000$ | 1,750,000$ | |||||||
Matthew Boldy ![]() | LW/RW | 22 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |
Mikael Backlund ![]() | C | 34 | 5,350,000$ | 5,350,000$ | |||||||
Miro Heiskanen ![]() | D | 24 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | ||
Noel Acciari ![]() | C/RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Ryan Johnson ![]() ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Ryan Nugent-Hopkins ![]() | C/LW | 30 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | ||
Shane Pinto ![]() | C | 22 | 775,000$ | 775,000$ | |||||||
Tyler Motte ![]() | LW/RW | 28 | 800,000$ | 800,000$ | |||||||
Vladislav Gavrikov ![]() | D | 27 | 5,875,000$ | 5,875,000$ | 5,875,000$ | ||||||
William Karlsson ![]() | C | 30 | 5,900,000$ | 5,900,000$ | 5,900,000$ |
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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 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 10 | 6 | 6 | 0.750 | 16 | 28 | 44 | 0 | 0 | 4 | 5 | 7 | 0 | 137 | 39 | 48 | 50 | 0 | 107 | 35 | 18 | 98 | 17 | 3 | 17.65% | 9 | 3 | 66.67% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 91 | 54 | 78 | 35 | 70 | 35 | 65.0% | 11.7% | 90.7% | 102.3 | FUN | |
2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 50 | 22 | 15 | 12 | 1 | 50 | 31 | 8 | 34 | 8 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 43 | 23 | 39 | 17 | 37 | 19 | 55.6% | 10.0% | 90.0% | 100.0 | FUN | |
3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 4 | 0 | 5 | 0 | 102 | 27 | 38 | 37 | 0 | 85 | 30 | 20 | 62 | 9 | 3 | 33.33% | 10 | 3 | 70.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 67 | 40 | 60 | 26 | 51 | 26 | 60.0% | 8.8% | 91.8% | 100.6 | DULL | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 1 | 3 | 3 | 1 | 74 | 27 | 24 | 22 | 1 | 64 | 19 | 6 | 55 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 17 | 34 | 17 | 58.3% | 10.8% | 92.2% | 103.0 | LUCKY | |
5 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 11 | -4 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 0 | 3 | 3 | 1 | 65 | 22 | 23 | 18 | 4 | 74 | 14 | 8 | 45 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 48 | 30 | 41 | 16 | 34 | 17 | 40.0% | 10.8% | 85.1% | 95.9 | FUN | |
6 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 9 | 16 | 0 | 0 | 1 | 4 | 1 | 2 | 96 | 30 | 35 | 29 | 4 | 106 | 40 | 20 | 64 | 9 | 1 | 11.11% | 10 | 2 | 80.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 68 | 40 | 63 | 26 | 53 | 25 | 42.9% | 7.3% | 90.6% | 97.9 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 36 | 13 | 12 | 11 | 0 | 31 | 11 | 0 | 24 | 4 | 2 | 50.00% | 0 | 0 | 0.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 14 | 21 | 7 | 15 | 8 | 40.0% | 11.1% | 90.3% | 101.4 | FUN | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 3 | 4 | 0 | 0 | 60 | 30 | 18 | 12 | 0 | 57 | 9 | 16 | 36 | 2 | 1 | 50.00% | 8 | 3 | 62.50% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 41 | 24 | 42 | 17 | 35 | 17 | 54.5% | 11.7% | 86.0% | 97.6 | FUN | |
9 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 1 | 3 | 1 | 3 | 69 | 25 | 21 | 21 | 7 | 62 | 20 | 12 | 48 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 49 | 29 | 41 | 19 | 38 | 19 | 62.5% | 10.1% | 91.9% | 102.1 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 31 | 7 | 15 | 9 | 0 | 31 | 6 | 5 | 15 | 5 | 3 | 60.00% | 0 | 0 | 0.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 13 | 21 | 8 | 16 | 8 | 66.7% | 16.1% | 96.8% | 112.9 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 38 | 14 | 16 | 8 | 0 | 30 | 19 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 21 | 13 | 23 | 8 | 15 | 7 | 80.0% | 10.5% | 96.7% | 107.2 | LUCKY | |
12 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 15 | 9 | 6 | 1.000 | 24 | 39 | 63 | 0 | 0 | 4 | 9 | 10 | 1 | 113 | 28 | 38 | 46 | 1 | 92 | 36 | 24 | 48 | 17 | 7 | 41.18% | 7 | 4 | 42.86% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 69 | 42 | 60 | 25 | 51 | 27 | 60.7% | 21.2% | 83.7% | 104.9 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 26 | 13 | 10 | 3 | 0 | 26 | 4 | 14 | 17 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 13 | 21 | 9 | 16 | 7 | 50.0% | 11.5% | 80.8% | 92.3 | FUN | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 57 | 24 | 25 | 8 | 0 | 63 | 23 | 12 | 38 | 6 | 2 | 33.33% | 6 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 44 | 26 | 40 | 18 | 35 | 17 | 33.3% | 8.8% | 90.5% | 99.2 | Unlucky | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 2 | 0.333 | 11 | 20 | 31 | 0 | 0 | 3 | 7 | 1 | 0 | 103 | 26 | 37 | 40 | 0 | 78 | 34 | 8 | 79 | 12 | 4 | 33.33% | 4 | 3 | 25.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 69 | 41 | 53 | 26 | 56 | 27 | 50.0% | 10.7% | 87.2% | 97.9 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 28 | 5 | 12 | 11 | 0 | 27 | 7 | 6 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 21 | 13 | 21 | 9 | 17 | 8 | 71.4% | 17.9% | 88.9% | 106.7 | FUN | |
17 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 0 | 3 | 5 | 0 | 90 | 24 | 26 | 37 | 11 | 86 | 32 | 15 | 63 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 63 | 35 | 66 | 29 | 54 | 27 | 45.5% | 8.9% | 91.9% | 100.7 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 60 | 22 | 21 | 17 | 0 | 73 | 22 | 16 | 34 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 44 | 26 | 43 | 16 | 32 | 15 | 30.0% | 6.7% | 89.0% | 95.7 | Unlucky | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 34 | 5 | 16 | 13 | 0 | 33 | 8 | 6 | 21 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 23 | 13 | 19 | 7 | 17 | 9 | 50.0% | 8.8% | 87.9% | 96.7 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 12 | 21 | 0 | 0 | 0 | 7 | 2 | 0 | 67 | 15 | 29 | 23 | 0 | 60 | 16 | 21 | 50 | 8 | 2 | 25.00% | 8 | 4 | 50.00% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 44 | 25 | 38 | 18 | 36 | 18 | 63.6% | 13.4% | 86.7% | 100.1 | FUN | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 2 | 10 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 2 | 2 | 8 | 0 | 72 | 24 | 19 | 29 | 0 | 55 | 23 | 14 | 49 | 5 | 2 | 40.00% | 7 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 18 | 34 | 16 | 83.3% | 16.7% | 96.4% | 113.0 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 75 | 29 | 16 | 30 | 0 | 63 | 16 | 10 | 43 | 6 | 0 | 0.00% | 5 | 3 | 40.00% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 16 | 34 | 18 | 66.7% | 8.0% | 90.5% | 98.5 | Unlucky | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 0 | 4 | 4 | 0 | 62 | 15 | 27 | 20 | 0 | 66 | 17 | 12 | 38 | 7 | 4 | 57.14% | 6 | 2 | 66.67% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 42 | 25 | 43 | 17 | 34 | 17 | 44.4% | 12.9% | 89.4% | 102.3 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 35 | 13 | 10 | 12 | 0 | 37 | 6 | 8 | 24 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 23 | 13 | 18 | 8 | 18 | 10 | 40.0% | 5.7% | 86.5% | 92.2 | Unlucky | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 34 | 7 | 16 | 11 | 0 | 27 | 12 | 10 | 11 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 22 | 14 | 20 | 9 | 16 | 8 | 66.7% | 11.8% | 92.6% | 104.4 | LUCKY | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 64 | 14 | 19 | 31 | 0 | 53 | 19 | 12 | 48 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 41 | 22 | 45 | 18 | 33 | 16 | 12.5% | 3.1% | 84.9% | 88.0 | Unlucky | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 67 | 17 | 17 | 33 | 0 | 64 | 12 | 2 | 41 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 27 | 40 | 17 | 34 | 17 | 66.7% | 13.4% | 93.8% | 107.2 | LUCKY | |
28 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 0 | 2 | 6 | 1 | 72 | 22 | 22 | 27 | 4 | 62 | 15 | 14 | 40 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 1 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 45 | 26 | 43 | 18 | 36 | 17 | 66.7% | 12.5% | 91.9% | 104.4 | LUCKY | |
_Vs Division | 17 | 10 | 5 | 0 | 0 | 0 | 1 | 1 | 66 | 44 | 22 | 23 | 0.676 | 66 | 113 | 179 | 0 | 0 | 10 | 26 | 29 | 1 | 562 | 150 | 192 | 216 | 15 | 494 | 151 | 74 | 374 | 62 | 19 | 30.65% | 31 | 10 | 67.74% | 2 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 380 | 225 | 346 | 153 | 303 | 151 | 58.0% | 11.7% | 91.1% | 102.8 | Unlucky | |
_Vs Conference | 34 | 19 | 11 | 0 | 1 | 0 | 2 | 1 | 137 | 99 | 38 | 45 | 0.662 | 137 | 233 | 370 | 0 | 0 | 30 | 49 | 55 | 4 | 1122 | 333 | 391 | 391 | 20 | 1005 | 328 | 204 | 699 | 116 | 37 | 31.90% | 91 | 25 | 72.53% | 2 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 761 | 456 | 695 | 306 | 597 | 298 | 57.5% | 12.2% | 90.1% | 102.4 | FUN | |
_Since Last GM Reset | 55 | 25 | 21 | 0 | 3 | 0 | 5 | 1 | 203 | 171 | 32 | 67 | 0.609 | 203 | 341 | 544 | 0 | 0 | 39 | 76 | 80 | 10 | 1817 | 559 | 625 | 620 | 33 | 1662 | 536 | 321 | 1165 | 183 | 47 | 25.68% | 147 | 43 | 70.75% | 6 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 1236 | 736 | 1130 | 490 | 964 | 486 | 54.9% | 11.2% | 89.7% | 100.9 | FUN | |
Total | 55 | 25 | 21 | 0 | 3 | 0 | 5 | 1 | 203 | 171 | 32 | 67 | 0.609 | 203 | 341 | 544 | 0 | 0 | 39 | 76 | 80 | 10 | 1817 | 559 | 625 | 620 | 33 | 1662 | 536 | 321 | 1165 | 183 | 47 | 25.68% | 147 | 43 | 70.75% | 6 | 660 | 1209 | 54.59% | 576 | 1105 | 52.13% | 463 | 855 | 54.15% | 1236 | 736 | 1130 | 490 | 964 | 486 | 54.9% | 11.2% | 89.7% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1209 |
Neutral Zone Start | 855 |
Defensive Zone Start | 1105 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1699 |
Faceoffs Lost | 1470 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 150 |
---|---|
PP Goal | 47 |
PK Goal | 6 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 14 |
Lost | 8 | 13 |
Overtime Lost | 1 | 0 |
PP Attempt | 183 |
---|---|
PP Goal | 47 |
PK Attempt | 147 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 30.2 |
Goals For | 3.7 |
Goals Against | 3.1 |
Hits | 21.2 |
Shots Blocked | 9.7 |
Pim | 5.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-06 | @ | Avalanche3,Golden Knights6 | RECAP | ||
2024-10-08 | @ | Blues4,Golden Knights1 | RECAP | ||
2024-10-10 | @ | Ducks3,Golden Knights2 | RECAP | ||
2024-10-12 | @ | Golden Knights3,Capitals2 (SO) | RECAP | ||
2024-10-14 | @ | Golden Knights4,Lightning3 | RECAP | ||
2024-10-16 | @ | Golden Knights8,Panthers4 | RECAP | ||
2024-10-19 | @ | Kings5,Golden Knights4 | RECAP | ||
2024-10-22 | @ | Senators2,Golden Knights5 | RECAP | ||
2024-10-23 | @ | Sharks2,Golden Knights1 (SO) | RECAP | ||
2024-10-25 | @ | Flames2,Golden Knights5 | RECAP | ||
2024-10-27 | @ | Golden Knights4,Kings2 | RECAP | ||
2024-10-30 | @ | Utah Hockey Club4,Golden Knights3 | RECAP | ||
2024-11-03 | @ | Golden Knights2,Oilers3 | RECAP | ||
2024-11-05 | @ | Golden Knights6,Kraken3 | RECAP | ||
2024-11-08 | @ | Hurricanes5,Golden Knights1 | RECAP | ||
2024-11-10 | @ | Golden Knights6,Ducks4 | RECAP | ||
2024-11-12 | @ | Golden Knights2,Utah Hockey Club1 | RECAP | ||
2024-11-14 | @ | Capitals3,Golden Knights4 (SO) | RECAP | ||
2024-11-17 | @ | Golden Knights4,Maple Leafs1 | RECAP | ||
2024-11-18 | @ | Golden Knights1,Senators4 | RECAP | ||
2024-11-20 | @ | Golden Knights3,Canadiens4 | RECAP | ||
2024-11-22 | @ | Golden Knights3,Flyers8 | RECAP | ||
2024-11-24 | @ | Golden Knights1,Avalanche5 | RECAP | ||
2024-11-26 | @ | Jets2,Golden Knights3 | RECAP | ||
2024-11-27 | @ | Utah Hockey Club2,Golden Knights4 | RECAP | ||
2024-11-30 | @ | Oilers4,Golden Knights7 | RECAP | ||
2024-12-01 | @ | Golden Knights5,Ducks1 | RECAP | ||
2024-12-03 | @ | Stars6,Golden Knights7 (OT) | RECAP | ||
2024-12-09 | @ | Golden Knights2,Jets4 | RECAP | ||
2024-12-11 | @ | Golden Knights2,Oilers3 | RECAP | ||
2024-12-12 | @ | Golden Knights8,Wild1 | RECAP | ||
2024-12-16 | @ | Canucks1,Golden Knights5 | RECAP | ||
2024-12-18 | @ | Kraken2,Golden Knights3 (SO) | RECAP | ||
2024-12-20 | @ | Ducks2,Golden Knights3 | RECAP | ||
2024-12-24 | @ | Golden Knights1,Sharks3 | RECAP | ||
2024-12-26 | @ | Flames2,Golden Knights4 | RECAP | ||
2024-12-28 | @ | Canadiens1,Golden Knights2 (OT) | RECAP | ||
2024-12-30 | @ | Flyers3,Golden Knights4 (SO) | RECAP | ||
2025-01-01 | @ | Sabres3,Golden Knights5 | RECAP | ||
2025-01-04 | @ | Golden Knights6,Sharks2 | RECAP | ||
2025-01-06 | @ | Islanders3,Golden Knights4 (OT) | RECAP | ||
2025-01-08 | @ | Rangers3,Golden Knights2 | RECAP | ||
2025-01-09 | @ | Wild1,Golden Knights4 | RECAP | ||
2025-01-11 | @ | Golden Knights3,Predators5 | RECAP | ||
2025-01-14 | @ | Golden Knights1,Hurricanes3 | RECAP | ||
2025-01-15 | @ | Golden Knights4,Blackhawks2 | RECAP | ||
2025-01-17 | @ | Blues3,Golden Knights4 (SO) | RECAP | ||
2025-01-20 | @ | Golden Knights2,Blues3 | RECAP | ||
2025-01-21 | @ | Golden Knights8,Stars3 | RECAP | ||
2025-01-23 | @ | Panthers4,Golden Knights1 | RECAP | ||
2025-01-25 | @ | Stars6,Golden Knights9 | RECAP | ||
2025-01-27 | @ | Blue Jackets4,Golden Knights3 | RECAP | ||
2025-01-30 | @ | Golden Knights2,Rangers5 | RECAP | ||
2025-02-01 | @ | Golden Knights4,Islanders2 | RECAP | ||
2025-02-03 | @ | Golden Knights2,Devils5 | RECAP | ||
2025-02-05 | @ | ||||
2025-02-19 | @ | ||||
2025-02-21 | @ | ||||
2025-02-24 | @ | ||||
2025-02-27 | @ | ||||
2025-03-02 | @ | ||||
2025-03-04 | @ | ||||
2025-03-06 | @ | ||||
2025-03-08 | @ | ||||
2025-03-10 | @ | ||||
2025-03-12 | @ | ||||
2025-03-13 | @ | ||||
2025-03-17 | @ | ||||
2025-03-19 | @ | ||||
2025-03-20 | @ | ||||
2025-03-22 | @ | ||||
2025-03-25 | @ | ||||
2025-03-26 | @ | ||||
2025-03-29 | @ | ||||
2025-03-31 | @ | ||||
2025-04-02 | @ | ||||
2025-04-03 | @ | ||||
2025-04-05 | @ | ||||
2025-04-07 | @ | ||||
2025-04-09 | @ | ||||
2025-04-12 | @ | ||||
2025-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,231,667$ | 0$ | 75,231,667$ | 8,268,333$ |
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 | 163147 | 131499 | 53568 | 107595 | 26825 |
Attendance PCT | 97.11% | 93.93% | 95.66% | 96.07% | 95.80% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 17237 - 95.76% | 621,734$ | 17,408,542$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,231,667$ | 75,231,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
47,653,008$ | 75,231,667$ | 47,653,008$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,082,537$ | 70 | 383,835$ | 26,868,450$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
27,469,062$ | 75,231,667$ | -362,181,211$ | -381,567,736$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
---|---|---|---|---|---|
1 ballo veg 2024 | |||||
Adam Jecho | 2024 | 88 | |||
Alexis Bernier | 2024 | 75 | |||
Anton Johannesson | 2020 | 136 | |||
Artem Barabosha | 2022 | 205 | |||
Benton Maass | |||||
Calle Clang | 2020 | 44 | |||
Cameron Lund | 2022 | 51 | |||
Cross Hanas | 2020 | 64 | |||
David Reinbacher | 2023 | 7 | |||
Dennis Hildeby | 2022 | 83 | |||
Egor Serdyuk | 2019 | 174 | |||
Elliot Desnoyers | Link | ||||
Erik Portillo | 2019 | 62 | |||
Ian Moore | 2020 | 76 | |||
Jacob Perreault | Link | ||||
Jeremias Lindewall | 2020 | 200 | |||
Jonathan Morello | 2024 | 128 | |||
Josh Pillar | 2021 | 134 | |||
Juraj Pekarcik | 2023 | 68 | |||
Luke Misa | 2024 | 99 | |||
Matthew Stienburg | 2019 | 81 | |||
Michael Benning | 2020 | 107 | |||
Mikhail Maltsev | Link | ||||
Mikko Kokkonen | 2019 | 59 | |||
Nick Cicek | Link | ||||
Niilopekka Muhonen | 2024 | 122 | |||
Rasmus Kumpulainen | 2023 | 71 | |||
Riley Hughes | 2018 | 216 | |||
Ryan McCleary | 2021 | 198 | |||
Scott Ratzlaff | 2023 | 106 | |||
Stiven Sardarian | 2021 | 97 | |||
Tanner Laczynski | Link | ||||
Terik Parascak | 2024 | 20 | |||
Ty Nelson | 2022 | 60 | |||
William von Barnekow-Lofberg | 2021 | 166 |
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