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Vegas Golden Knights 34-21-1, 69pts · 4th 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 | 100.00 | 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 | 100.00 | 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$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 45 | 88 | 81 | 71 | 75 | 86 | 75 | 47 | 69 | 66 | 80 | 38 | 65 | 67 | 73 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 74 | 58 | 58 | 81 | 80 | 68 | 75 | 72 | 80 | 74 | 56 | 59 | 60 | 72 | 50 | 0 | 30 | 1,750,000$/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 | 56 | 31 | 44 | 75 | 4 | 0 | 0 | 71 | 250 | 69 | 126 | 12.40% | 21 | 18.52 | 12 | 18 | 30 | 157 | 0 | 0 | 0 | 0 | 3 | 4 | 32.43% | 74 | 54 | 10 | 0 | 1 | 1.45 | 3 | 6 | ||
2 | William Karlsson | 0 | C | 56 | 27 | 44 | 71 | 12 | 10 | 0 | 56 | 200 | 81 | 137 | 13.50% | 20 | 19.71 | 8 | 17 | 25 | 157 | 0 | 0 | 0 | 1 | 4 | 4 | 57.19% | 1530 | 38 | 15 | 0 | 0 | 1.29 | 2 | 3 | ||
3 | Matthew Boldy | 0 | LW/RW | 56 | 29 | 39 | 68 | 7 | 32 | 0 | 77 | 215 | 49 | 133 | 13.49% | 26 | 18.74 | 11 | 16 | 27 | 157 | 0 | 1 | 1 | 42 | 3 | 3 | 27.59% | 58 | 47 | 11 | 0 | 0 | 1.30 | 0 | 1 | ||
4 | Ryan Nugent-Hopkins | 0 | C/LW | 56 | 18 | 31 | 49 | 9 | 24 | 0 | 78 | 156 | 40 | 80 | 11.54% | 19 | 16.45 | 4 | 7 | 11 | 114 | 0 | 0 | 0 | 0 | 4 | 1 | 51.11% | 45 | 24 | 19 | 0 | 2 | 1.06 | 2 | 6 | ||
5 | Shane Pinto | 0 | C | 56 | 13 | 26 | 39 | 6 | 2 | 0 | 71 | 84 | 33 | 41 | 15.48% | 10 | 16.60 | 3 | 6 | 9 | 114 | 1 | 0 | 1 | 46 | 3 | 0 | 53.50% | 600 | 17 | 14 | 0 | 0 | 0.84 | 0 | 0 | ||
6 | Miro Heiskanen | 0 | D | 56 | 8 | 28 | 36 | 7 | 18 | 0 | 94 | 102 | 38 | 49 | 7.84% | 67 | 24.15 | 6 | 5 | 11 | 174 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 0 | 24 | 41 | 0 | 0 | 0.53 | 0 | 1 | ||
7 | Dylan Guenther | 0 | LW/RW | 56 | 19 | 14 | 33 | 1 | 10 | 0 | 63 | 103 | 41 | 61 | 18.45% | 12 | 13.82 | 3 | 5 | 8 | 114 | 0 | 0 | 0 | 1 | 4 | 2 | 31.25% | 32 | 24 | 10 | 0 | 0 | 0.85 | 0 | 0 | ||
8 | Mikael Backlund | 0 | C | 56 | 15 | 13 | 28 | 8 | 8 | 0 | 71 | 124 | 42 | 70 | 12.10% | 9 | 13.17 | 0 | 0 | 0 | 7 | 2 | 1 | 3 | 57 | 3 | 0 | 51.76% | 398 | 35 | 13 | 0 | 0 | 0.76 | 0 | 1 | ||
9 | Adam Pelech | 0 | D | 56 | 0 | 25 | 25 | 11 | 24 | 0 | 62 | 63 | 27 | 34 | 0.00% | 76 | 24.00 | 0 | 8 | 8 | 173 | 0 | 1 | 1 | 135 | 0 | 0 | 0.00% | 0 | 4 | 47 | 0 | 0 | 0.37 | 0 | 0 | ||
10 | Blake Coleman | 0 | LW/RW | 56 | 12 | 11 | 23 | 9 | 66 | 10 | 108 | 75 | 27 | 40 | 16.00% | 20 | 15.83 | 1 | 0 | 1 | 11 | 0 | 0 | 0 | 8 | 3 | 0 | 26.00% | 50 | 15 | 12 | 0 | 0 | 0.52 | 0 | 1 | ||
11 | Noel Acciari | 0 | C/RW | 56 | 8 | 10 | 18 | 1 | 11 | 5 | 38 | 93 | 33 | 57 | 8.60% | 14 | 11.18 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 133 | 0 | 0 | 54.81% | 405 | 10 | 7 | 1 | 0 | 0.58 | 0 | 0 | ||
12 | Alexander Romanov | 0 | D | 56 | 1 | 13 | 14 | 9 | 20 | 0 | 83 | 53 | 19 | 24 | 1.89% | 62 | 23.02 | 0 | 4 | 4 | 104 | 0 | 1 | 1 | 83 | 1 | 0 | 0.00% | 0 | 9 | 39 | 0 | 0 | 0.22 | 0 | 0 | ||
13 | Beck Malenstyn | 0 | C/LW | 56 | 9 | 4 | 13 | 0 | 10 | 0 | 67 | 92 | 28 | 48 | 9.78% | 10 | 11.38 | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 130 | 0 | 0 | 25.93% | 27 | 17 | 14 | 2 | 0 | 0.41 | 0 | 1 | ||
14 | Tyler Motte | 0 | LW/RW | 56 | 5 | 8 | 13 | 3 | 14 | 0 | 59 | 67 | 23 | 59 | 7.46% | 16 | 9.74 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 53 | 0 | 2 | 20.00% | 5 | 14 | 9 | 0 | 0 | 0.48 | 0 | 0 | ||
15 | Vladislav Gavrikov | 0 | D | 56 | 0 | 13 | 13 | 5 | 37 | 5 | 49 | 42 | 17 | 12 | 0.00% | 53 | 17.31 | 0 | 0 | 0 | 38 | 0 | 2 | 2 | 130 | 0 | 0 | 0.00% | 0 | 7 | 18 | 0 | 0 | 0.27 | 0 | 0 | ||
16 | Josh Doan | 0 | RW | 56 | 4 | 7 | 11 | 3 | 0 | 0 | 38 | 52 | 20 | 36 | 7.69% | 16 | 11.55 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 24 | 14 | 18 | 0 | 0 | 0.34 | 0 | 0 | ||
17 | Dylan DeMelo | 0 | D | 55 | 1 | 8 | 9 | -9 | 37 | 5 | 65 | 42 | 14 | 15 | 2.38% | 48 | 19.30 | 0 | 3 | 3 | 95 | 0 | 0 | 0 | 51 | 1 | 0 | 0.00% | 0 | 7 | 28 | 0 | 0 | 0.17 | 0 | 0 | ||
18 | Jackson LaCombe | 0 | D | 56 | 0 | 8 | 8 | 5 | 12 | 0 | 47 | 38 | 17 | 10 | 0.00% | 44 | 14.96 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 88 | 0 | 0 | 0.00% | 1 | 4 | 39 | 0 | 0 | 0.19 | 0 | 0 | ||
19 | Ryan Johnson | 0 | D | 56 | 0 | 2 | 2 | 2 | 0 | 0 | 10 | 8 | 3 | 7 | 0.00% | 18 | 5.72 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 21 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.12 | 0 | 0 | ||
Team Total or Average | 1063 | 200 | 348 | 548 | 93 | 335 | 25 | 1207 | 1859 | 621 | 1039 | 10.76% | 561 | 16.06 | 48 | 89 | 137 | 1432 | 6 | 11 | 17 | 986 | 29 | 18 | 53.15% | 3249 | 365 | 369 | 3 | 3 | 0.64 | 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 | 24 | 1 | 3 | 3 | |
2 | Laurent Brossoit | 28 | 16 | 8 | 0 | 0.908 | 2.69 | 1450 | 2 | 0 | 65 | 705 | 373 | 3 | 0 | 0.833 | 6 | 24 | 32 | 1 | 0 | 4 | |
Team Total or Average | 63 | 34 | 21 | 1 | 0.899 | 3.03 | 3384 | 4 | 0 | 171 | 1694 | 914 | 5 | 0 | 0.909 | 22 | 56 | 56 | 2 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 6 | 16 | 6 | 0 | 32 | 3 | 8 | 18 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 19 | 11 | 22 | 8 | 17 | 8 | 50.0% | 7.1% | 96.9% | 104.0 | DULL | |
2 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 91 | 54 | 78 | 35 | 70 | 35 | 65.0% | 11.7% | 90.7% | 102.3 | FUN | |
3 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 43 | 23 | 39 | 17 | 37 | 19 | 55.6% | 10.0% | 90.0% | 100.0 | FUN | |
4 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 67 | 40 | 60 | 26 | 51 | 26 | 60.0% | 8.8% | 91.8% | 100.6 | DULL | |
5 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 17 | 34 | 17 | 58.3% | 10.8% | 92.2% | 103.0 | LUCKY | |
6 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 48 | 30 | 41 | 16 | 34 | 17 | 40.0% | 10.8% | 85.1% | 95.9 | FUN | |
7 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 68 | 40 | 63 | 26 | 53 | 25 | 42.9% | 7.3% | 90.6% | 97.9 | Unlucky | |
8 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 14 | 21 | 7 | 15 | 8 | 40.0% | 11.1% | 90.3% | 101.4 | FUN | |
9 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 41 | 24 | 42 | 17 | 35 | 17 | 54.5% | 11.7% | 86.0% | 97.6 | FUN | |
10 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 49 | 29 | 41 | 19 | 38 | 19 | 62.5% | 10.1% | 91.9% | 102.1 | LUCKY | |
11 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 13 | 21 | 8 | 16 | 8 | 66.7% | 16.1% | 96.8% | 112.9 | LUCKY | |
12 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 21 | 13 | 23 | 8 | 15 | 7 | 80.0% | 10.5% | 96.7% | 107.2 | LUCKY | |
13 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 69 | 42 | 60 | 25 | 51 | 27 | 60.7% | 21.2% | 83.7% | 104.9 | FUN | |
14 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 13 | 21 | 9 | 16 | 7 | 50.0% | 11.5% | 80.8% | 92.3 | FUN | |
15 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 44 | 26 | 40 | 18 | 35 | 17 | 33.3% | 8.8% | 90.5% | 99.2 | Unlucky | |
16 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 69 | 41 | 53 | 26 | 56 | 27 | 50.0% | 10.7% | 87.2% | 97.9 | FUN | |
17 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 21 | 13 | 21 | 9 | 17 | 8 | 71.4% | 17.9% | 88.9% | 106.7 | FUN | |
18 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 63 | 35 | 66 | 29 | 54 | 27 | 45.5% | 8.9% | 91.9% | 100.7 | Unlucky | |
19 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 44 | 26 | 43 | 16 | 32 | 15 | 30.0% | 6.7% | 89.0% | 95.7 | Unlucky | |
20 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 23 | 13 | 19 | 7 | 17 | 9 | 50.0% | 8.8% | 87.9% | 96.7 | Unlucky | |
21 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 44 | 25 | 38 | 18 | 36 | 18 | 63.6% | 13.4% | 86.7% | 100.1 | FUN | |
22 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 18 | 34 | 16 | 83.3% | 16.7% | 96.4% | 113.0 | LUCKY | |
23 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 16 | 34 | 18 | 66.7% | 8.0% | 90.5% | 98.5 | Unlucky | |
24 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 42 | 25 | 43 | 17 | 34 | 17 | 44.4% | 12.9% | 89.4% | 102.3 | FUN | |
25 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 23 | 13 | 18 | 8 | 18 | 10 | 40.0% | 5.7% | 86.5% | 92.2 | Unlucky | |
26 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 14 | 20 | 9 | 16 | 8 | 66.7% | 11.8% | 92.6% | 104.4 | LUCKY | |
27 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 41 | 22 | 45 | 18 | 33 | 16 | 12.5% | 3.1% | 84.9% | 88.0 | Unlucky | |
28 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 17 | 34 | 17 | 66.7% | 13.4% | 93.8% | 107.2 | LUCKY | |
29 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 761 | 456 | 695 | 306 | 597 | 298 | 57.5% | 12.2% | 90.1% | 102.4 | FUN | |
_Since Last GM Reset | 56 | 26 | 21 | 0 | 3 | 0 | 5 | 1 | 205 | 172 | 33 | 69 | 0.616 | 205 | 344 | 549 | 0 | 0 | 39 | 78 | 80 | 10 | 1845 | 565 | 641 | 626 | 33 | 1694 | 539 | 329 | 1183 | 186 | 48 | 25.81% | 151 | 43 | 71.52% | 6 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 1256 | 748 | 1153 | 498 | 981 | 494 | 54.9% | 11.1% | 89.8% | 101.0 | FUN | |
Total | 56 | 26 | 21 | 0 | 3 | 0 | 5 | 1 | 205 | 172 | 33 | 69 | 0.616 | 205 | 344 | 549 | 0 | 0 | 39 | 78 | 80 | 10 | 1845 | 565 | 641 | 626 | 33 | 1694 | 539 | 329 | 1183 | 186 | 48 | 25.81% | 151 | 43 | 71.52% | 6 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 1256 | 748 | 1153 | 498 | 981 | 494 | 54.9% | 11.1% | 89.8% | 101.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1227 |
Neutral Zone Start | 868 |
Defensive Zone Start | 1128 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1727 |
Faceoffs Lost | 1496 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 33.3 | 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 | 151 |
---|---|
PP Goal | 48 |
PK Goal | 6 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 15 |
Lost | 8 | 13 |
Overtime Lost | 1 | 0 |
PP Attempt | 186 |
---|---|
PP Goal | 48 |
PK Attempt | 151 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 30.3 |
Goals For | 3.7 |
Goals Against | 3.1 |
Hits | 21.1 |
Shots Blocked | 9.6 |
Pim | 5.9 |
Projected Total Cap Hit | 75,231,667$ |
Projected Cap Space | 8,268,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 48,420,678$ |
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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 6 | 16 | 6 | 0 | 32 | 3 | 8 | 18 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 19 | 11 | 22 | 8 | 17 | 8 | 50.0% | 7.1% | 96.9% | 104.0 | DULL | |
2 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 91 | 54 | 78 | 35 | 70 | 35 | 65.0% | 11.7% | 90.7% | 102.3 | FUN | |
3 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 43 | 23 | 39 | 17 | 37 | 19 | 55.6% | 10.0% | 90.0% | 100.0 | FUN | |
4 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 67 | 40 | 60 | 26 | 51 | 26 | 60.0% | 8.8% | 91.8% | 100.6 | DULL | |
5 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 17 | 34 | 17 | 58.3% | 10.8% | 92.2% | 103.0 | LUCKY | |
6 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 48 | 30 | 41 | 16 | 34 | 17 | 40.0% | 10.8% | 85.1% | 95.9 | FUN | |
7 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 68 | 40 | 63 | 26 | 53 | 25 | 42.9% | 7.3% | 90.6% | 97.9 | Unlucky | |
8 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 14 | 21 | 7 | 15 | 8 | 40.0% | 11.1% | 90.3% | 101.4 | FUN | |
9 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 41 | 24 | 42 | 17 | 35 | 17 | 54.5% | 11.7% | 86.0% | 97.6 | FUN | |
10 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 49 | 29 | 41 | 19 | 38 | 19 | 62.5% | 10.1% | 91.9% | 102.1 | LUCKY | |
11 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 13 | 21 | 8 | 16 | 8 | 66.7% | 16.1% | 96.8% | 112.9 | LUCKY | |
12 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 21 | 13 | 23 | 8 | 15 | 7 | 80.0% | 10.5% | 96.7% | 107.2 | LUCKY | |
13 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 69 | 42 | 60 | 25 | 51 | 27 | 60.7% | 21.2% | 83.7% | 104.9 | FUN | |
14 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 13 | 21 | 9 | 16 | 7 | 50.0% | 11.5% | 80.8% | 92.3 | FUN | |
15 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 44 | 26 | 40 | 18 | 35 | 17 | 33.3% | 8.8% | 90.5% | 99.2 | Unlucky | |
16 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 69 | 41 | 53 | 26 | 56 | 27 | 50.0% | 10.7% | 87.2% | 97.9 | FUN | |
17 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 21 | 13 | 21 | 9 | 17 | 8 | 71.4% | 17.9% | 88.9% | 106.7 | FUN | |
18 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 63 | 35 | 66 | 29 | 54 | 27 | 45.5% | 8.9% | 91.9% | 100.7 | Unlucky | |
19 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 44 | 26 | 43 | 16 | 32 | 15 | 30.0% | 6.7% | 89.0% | 95.7 | Unlucky | |
20 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 23 | 13 | 19 | 7 | 17 | 9 | 50.0% | 8.8% | 87.9% | 96.7 | Unlucky | |
21 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 44 | 25 | 38 | 18 | 36 | 18 | 63.6% | 13.4% | 86.7% | 100.1 | FUN | |
22 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 18 | 34 | 16 | 83.3% | 16.7% | 96.4% | 113.0 | LUCKY | |
23 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 16 | 34 | 18 | 66.7% | 8.0% | 90.5% | 98.5 | Unlucky | |
24 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 42 | 25 | 43 | 17 | 34 | 17 | 44.4% | 12.9% | 89.4% | 102.3 | FUN | |
25 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 23 | 13 | 18 | 8 | 18 | 10 | 40.0% | 5.7% | 86.5% | 92.2 | Unlucky | |
26 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 22 | 14 | 20 | 9 | 16 | 8 | 66.7% | 11.8% | 92.6% | 104.4 | LUCKY | |
27 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 41 | 22 | 45 | 18 | 33 | 16 | 12.5% | 3.1% | 84.9% | 88.0 | Unlucky | |
28 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 45 | 27 | 40 | 17 | 34 | 17 | 66.7% | 13.4% | 93.8% | 107.2 | LUCKY | |
29 | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 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 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 761 | 456 | 695 | 306 | 597 | 298 | 57.5% | 12.2% | 90.1% | 102.4 | FUN | |
_Since Last GM Reset | 56 | 26 | 21 | 0 | 3 | 0 | 5 | 1 | 205 | 172 | 33 | 69 | 0.616 | 205 | 344 | 549 | 0 | 0 | 39 | 78 | 80 | 10 | 1845 | 565 | 641 | 626 | 33 | 1694 | 539 | 329 | 1183 | 186 | 48 | 25.81% | 151 | 43 | 71.52% | 6 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 1256 | 748 | 1153 | 498 | 981 | 494 | 54.9% | 11.1% | 89.8% | 101.0 | FUN | |
Total | 56 | 26 | 21 | 0 | 3 | 0 | 5 | 1 | 205 | 172 | 33 | 69 | 0.616 | 205 | 344 | 549 | 0 | 0 | 39 | 78 | 80 | 10 | 1845 | 565 | 641 | 626 | 33 | 1694 | 539 | 329 | 1183 | 186 | 48 | 25.81% | 151 | 43 | 71.52% | 6 | 670 | 1227 | 54.60% | 589 | 1128 | 52.22% | 468 | 868 | 53.92% | 1256 | 748 | 1153 | 498 | 981 | 494 | 54.9% | 11.1% | 89.8% | 101.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1227 |
Neutral Zone Start | 868 |
Defensive Zone Start | 1128 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1727 |
Faceoffs Lost | 1496 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 33.3 | 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 | 151 |
---|---|
PP Goal | 48 |
PK Goal | 6 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 15 |
Lost | 8 | 13 |
Overtime Lost | 1 | 0 |
PP Attempt | 186 |
---|---|
PP Goal | 48 |
PK Attempt | 151 |
PK Goal Against | 43 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 30.3 |
Goals For | 3.7 |
Goals Against | 3.1 |
Hits | 21.1 |
Shots Blocked | 9.6 |
Pim | 5.9 |
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 | @ | Golden Knights2,Bruins1 | RECAP | ||
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 |
---|---|---|---|
48,420,678$ | 75,231,667$ | 48,420,678$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,082,537$ | 68 | 383,835$ | 26,100,780$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
26,601,290$ | 75,231,667$ | -363,048,983$ | -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 |
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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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