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Full Scoreboard »» |
Vegas Golden Knights 15-6-2, 32pts · 3rd 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 | LW/RW | 99.00 | 71 | 53 | 85 | 67 | 74 | 79 | 86 | 96 | 59 | 79 | 87 | 63 | 75 | 59 | 60 | 80 | 50 | 0 | 21 | 1,325,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 44 | 81 | 87 | 73 | 70 | 99 | 62 | 42 | 69 | 73 | 74 | 45 | 70 | 74 | 74 | 50 | 0 | 30 | 4,900,000$/5yrs | |||
![]() | 0 | C | 100.00 | 77 | 44 | 86 | 84 | 73 | 78 | 99 | 77 | 91 | 81 | 74 | 80 | 30 | 81 | 82 | 79 | 50 | 0 | 33 | 5,350,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 65 | 41 | 90 | 70 | 67 | 65 | 64 | 76 | 44 | 72 | 71 | 65 | 25 | 47 | 47 | 70 | 50 | 0 | 18 | 894,167$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 84 | 44 | 96 | 80 | 68 | 63 | 77 | 59 | 39 | 64 | 64 | 86 | 25 | 65 | 66 | 71 | 50 | 0 | 27 | 1,350,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 73 | 42 | 90 | 83 | 63 | 74 | 60 | 80 | 56 | 78 | 72 | 68 | 63 | 74 | 80 | 74 | 50 | 0 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 40 | 97 | 91 | 63 | 77 | 96 | 84 | 25 | 83 | 87 | 63 | 56 | 69 | 69 | 82 | 50 | 0 | 24 | 5,450,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 41 | 87 | 84 | 75 | 70 | 84 | 72 | 37 | 65 | 62 | 86 | 90 | 77 | 77 | 69 | 50 | 0 | 31 | 5,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 46 | 87 | 80 | 86 | 65 | 79 | 60 | 29 | 58 | 59 | 67 | 25 | 67 | 68 | 65 | 50 | 0 | 25 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 74 | 92 | 74 | 74 | 68 | 70 | 64 | 80 | 58 | 65 | 68 | 62 | 50 | 50 | 67 | 50 | 0 | 24 | 800,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 97 | 57 | 91 | 74 | 71 | 67 | 67 | 60 | 86 | 61 | 71 | 82 | 25 | 66 | 69 | 73 | 50 | 0 | 30 | 1,250,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 42 | 70 | 85 | 69 | 80 | 95 | 84 | 69 | 83 | 79 | 60 | 85 | 61 | 61 | 77 | 50 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 45 | 83 | 77 | 80 | 84 | 87 | 63 | 25 | 59 | 50 | 93 | 25 | 68 | 71 | 67 | 50 | 0 | 28 | 5,750,000$/7yrs | |||
![]() | 0 | D | 100.00 | 91 | 56 | 83 | 82 | 76 | 79 | 95 | 59 | 25 | 60 | 48 | 86 | 25 | 63 | 64 | 67 | 50 | 0 | 22 | 2,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 71 | 44 | 82 | 85 | 86 | 85 | 89 | 85 | 25 | 76 | 66 | 66 | 80 | 78 | 81 | 74 | 50 | 0 | 29 | 9,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 89 | 80 | 67 | 74 | 76 | 66 | 25 | 48 | 48 | 76 | 80 | 87 | 88 | 61 | 50 | 0 | 37 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 87 | 74 | 63 | 78 | 65 | 69 | 57 | 25 | 59 | 47 | 79 | 25 | 45 | 45 | 61 | 50 | 0 | 22 | 835,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 43 | 92 | 79 | 75 | 72 | 94 | 61 | 25 | 56 | 47 | 93 | 46 | 90 | 90 | 65 | 50 | 0 | 35 | 7,000,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 76 | 56 | 85 | 71 | 72 | 61 | 74 | 69 | 38 | 69 | 58 | 67 | 63 | 65 | 65 | 66 | 50 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 43 | 97 | 71 | 71 | 54 | 54 | 59 | 61 | 56 | 57 | 67 | 25 | 46 | 46 | 61 | 50 | 0 | 25 | 762,500$/2yrs | |||
TEAM AVERAGE | 99.95 | 75 | 49 | 87 | 78 | 73 | 72 | 81 | 70 | 45 | 67 | 64 | 74 | 49 | 66 | 68 | 70 | 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 | 99.00 | 68 | 51 | 52 | 81 | 76 | 61 | 86 | 66 | 76 | 68 | 56 | 58 | 58 | 69 | 50 | 0 | 29 | 2,325,000$/1yrs |
![]() | 0 | 99.00 | 88 | 68 | 66 | 73 | 92 | 84 | 99 | 87 | 95 | 88 | 81 | 52 | 52 | 87 | 50 | 0 | 24 | 787,500$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 48 | 44 | 55 | 69 | 49 | 48 | 51 | 54 | 50 | 50 | 30 | 65 | 67 | 50 | 50 | 0 | 36 | 3,333,333$/1yrs |
TEAM AVERAGE | 99.33 | 68 | 54 | 58 | 74 | 72 | 64 | 79 | 69 | 74 | 69 | 56 | 58 | 59 | 69 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 67 | 42 | 91 | 64 | 67 | 63 | 85 | 58 | 67 | 64 | 57 | 76 | 25 | 52 | 52 | 65 | 57 | 0 | 22 | 883,750$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 81 | 57 | 84 | 61 | 74 | 55 | 64 | 64 | 40 | 61 | 57 | 60 | 25 | 49 | 49 | 62 | 57 | 0 | 21 | 1,441,667$/2yrs | |||
![]() | 0 | LW | 100.00 | 67 | 41 | 97 | 63 | 59 | 67 | 79 | 76 | 33 | 63 | 64 | 61 | 25 | 46 | 46 | 66 | 57 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 44 | 82 | 72 | 67 | 63 | 65 | 69 | 60 | 77 | 59 | 65 | 25 | 45 | 45 | 67 | 57 | 0 | 20 | 863,333$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 72 | 76 | 63 | 72 | 63 | 64 | 63 | 79 | 60 | 62 | 64 | 59 | 45 | 45 | 63 | 57 | 0 | 20 | 863,333$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 65 | 92 | 66 | 65 | 77 | 81 | 63 | 79 | 57 | 65 | 63 | 62 | 44 | 44 | 66 | 57 | 0 | 20 | 854,167$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 60 | 74 | 63 | 60 | 79 | 85 | 59 | 74 | 56 | 58 | 58 | 55 | 44 | 44 | 60 | 57 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 62 | 85 | 72 | 62 | 73 | 76 | 63 | 50 | 60 | 62 | 62 | 59 | 48 | 49 | 64 | 57 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 90 | 77 | 70 | 67 | 46 | 68 | 25 | 70 | 49 | 64 | 25 | 55 | 56 | 62 | 57 | 0 | 24 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 71 | 81 | 64 | 71 | 62 | 64 | 57 | 25 | 55 | 45 | 62 | 43 | 44 | 44 | 57 | 57 | 0 | 18 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 77 | 94 | 65 | 77 | 73 | 79 | 50 | 25 | 46 | 40 | 65 | 38 | 44 | 44 | 55 | 57 | 0 | 19 | 814,167$/4yrs | |||
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 | 23 | 13 | 16 | 29 | 0 | 5 | 5 | 16 | 99 | 22 | 68 | 13.13% | 11 | 19.87 | 4 | 8 | 12 | 72 | 0 | 0 | 0 | 0 | 2 | 1 | 25.00% | 24 | 24 | 9 | 0 | 1 | 1.27 | 1 | 2 | ||
2 | Mikael Backlund | 0 | C | 23 | 9 | 14 | 23 | 4 | 2 | 0 | 39 | 72 | 19 | 42 | 12.50% | 17 | 18.10 | 3 | 7 | 10 | 71 | 0 | 0 | 0 | 11 | 2 | 1 | 57.99% | 388 | 19 | 6 | 0 | 0 | 1.10 | 0 | 0 | ||
3 | Matthew Boldy | 0 | LW/RW | 23 | 11 | 8 | 19 | -1 | 20 | 10 | 31 | 68 | 16 | 38 | 16.18% | 10 | 20.49 | 4 | 4 | 8 | 71 | 0 | 0 | 0 | 7 | 5 | 1 | 48.57% | 35 | 11 | 4 | 0 | 0 | 0.81 | 0 | 0 | ||
4 | Trevor Zegras | 0 | C/LW | 23 | 5 | 13 | 18 | 0 | 14 | 0 | 27 | 81 | 21 | 51 | 6.17% | 9 | 19.50 | 1 | 2 | 3 | 56 | 0 | 0 | 0 | 0 | 1 | 1 | 47.16% | 581 | 16 | 5 | 0 | 0 | 0.80 | 0 | 2 | ||
5 | Tyler Johnson | 0 | C/LW/RW | 23 | 4 | 10 | 14 | 4 | 2 | 0 | 21 | 52 | 26 | 33 | 7.69% | 7 | 12.57 | 0 | 3 | 3 | 55 | 0 | 0 | 0 | 15 | 0 | 0 | 41.67% | 108 | 14 | 3 | 0 | 0 | 0.97 | 0 | 0 | ||
6 | Dylan Guenther | 0 | RW | 23 | 5 | 8 | 13 | 3 | 5 | 5 | 16 | 42 | 10 | 26 | 11.90% | 7 | 15.98 | 1 | 1 | 2 | 53 | 0 | 0 | 0 | 0 | 0 | 0 | 23.53% | 17 | 9 | 5 | 0 | 0 | 0.71 | 0 | 0 | ||
7 | Blake Coleman | 0 | LW/RW | 23 | 6 | 5 | 11 | 4 | 4 | 0 | 35 | 37 | 13 | 27 | 16.22% | 5 | 14.13 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 1 | 2 | 46.15% | 13 | 12 | 1 | 0 | 0 | 0.68 | 0 | 0 | ||
8 | Noel Acciari | 0 | C/RW | 23 | 4 | 6 | 10 | -3 | 0 | 0 | 40 | 40 | 7 | 17 | 10.00% | 8 | 13.75 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 0 | 0 | 50.85% | 236 | 7 | 4 | 0 | 0 | 0.63 | 0 | 0 | ||
9 | Alex Goligoski | 0 | D | 23 | 2 | 7 | 9 | 4 | 2 | 0 | 11 | 26 | 8 | 6 | 7.69% | 25 | 18.43 | 2 | 2 | 4 | 74 | 0 | 0 | 0 | 23 | 1 | 0 | 0.00% | 0 | 6 | 13 | 0 | 0 | 0.42 | 0 | 0 | ||
10 | Jakob Silfverberg | 0 | LW/RW | 23 | 4 | 5 | 9 | -2 | 2 | 0 | 9 | 67 | 14 | 33 | 5.97% | 8 | 12.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 1 | 0 | 9.09% | 11 | 21 | 11 | 0 | 0 | 0.63 | 0 | 2 | ||
11 | Marc-Edouard Vlasic | 0 | D | 23 | 1 | 6 | 7 | 1 | 2 | 0 | 12 | 28 | 13 | 6 | 3.57% | 38 | 24.03 | 0 | 1 | 1 | 54 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 5 | 20 | 0 | 0 | 0.25 | 0 | 0 | ||
12 | Dougie Hamilton | 0 | D | 23 | 1 | 5 | 6 | -4 | 13 | 5 | 20 | 56 | 20 | 19 | 1.79% | 29 | 21.31 | 1 | 0 | 1 | 76 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 14 | 18 | 0 | 0 | 0.24 | 0 | 0 | ||
13 | Tyler Motte | 0 | LW/RW | 23 | 2 | 4 | 6 | -2 | 0 | 0 | 28 | 26 | 12 | 20 | 7.69% | 5 | 13.28 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 0 | 0 | 27.27% | 11 | 5 | 7 | 0 | 0 | 0.39 | 0 | 0 | ||
14 | Adam Pelech | 0 | D | 23 | 0 | 4 | 4 | 1 | 2 | 0 | 34 | 21 | 11 | 7 | 0.00% | 36 | 23.01 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 4 | 21 | 0 | 0 | 0.15 | 0 | 0 | ||
15 | Jordan Greenway | 0 | LW/RW | 23 | 2 | 2 | 4 | 6 | 2 | 0 | 14 | 18 | 8 | 10 | 11.11% | 3 | 8.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 2 | 1 | 0 | 0 | 0.39 | 0 | 0 | ||
16 | Alexander Romanov | 0 | D | 23 | 0 | 3 | 3 | 3 | 4 | 0 | 49 | 24 | 12 | 11 | 0.00% | 17 | 20.38 | 0 | 0 | 0 | 54 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.13 | 0 | 0 | ||
17 | Nick Cicek | 0 | D | 23 | 0 | 3 | 3 | 7 | 18 | 10 | 28 | 9 | 1 | 3 | 0.00% | 15 | 13.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.19 | 0 | 0 | ||
18 | Mikhail Maltsev | 0 | C/LW | 15 | 2 | 1 | 3 | 2 | 0 | 0 | 5 | 23 | 3 | 10 | 8.70% | 0 | 9.29 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 2 | 2 | 0 | 0 | 0.43 | 0 | 0 | ||
19 | Josh Leivo | 0 | LW/RW | 8 | 1 | 1 | 2 | 5 | 2 | 0 | 8 | 9 | 4 | 10 | 11.11% | 2 | 9.56 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.52 | 0 | 0 | ||
Team Total or Average | 414 | 72 | 121 | 193 | 32 | 99 | 35 | 443 | 798 | 240 | 437 | 9.02% | 252 | 16.62 | 16 | 28 | 44 | 654 | 0 | 0 | 0 | 219 | 14 | 6 | 49.06% | 1437 | 173 | 147 | 0 | 1 | 0.56 | 1 | 6 |
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 | 20 | 15 | 3 | 1 | 0.936 | 2.13 | 1182 | 0 | 1 | 42 | 655 | 318 | 0 | 0 | 0.833 | 6 | 19 | 4 | 4 | 4 | 1 | |
2 | Laurent Brossoit | 4 | 0 | 3 | 1 | 0.898 | 3.48 | 207 | 0 | 0 | 12 | 118 | 65 | 0 | 1 | 0.000 | 0 | 4 | 19 | 0 | 0 | 0 | |
Team Total or Average | 24 | 15 | 6 | 2 | 0.930 | 2.33 | 1389 | 0 | 1 | 54 | 773 | 383 | 0 | 1 | 0.833 | 6 | 23 | 23 | 4 | 4 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 1 | 1 | 4 | 0 | 74 | 16 | 32 | 26 | 0 | 87 | 18 | 7 | 34 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 27 | 41 | 17 | 33 | 17 | 46.2% | 8.1% | 92.0% | 100.1 | DULL | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 67 | 19 | 26 | 22 | 0 | 77 | 31 | 6 | 47 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 43 | 24 | 42 | 18 | 34 | 16 | 22.2% | 6.0% | 90.9% | 96.9 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 43 | 7 | 20 | 16 | 0 | 41 | 14 | 0 | 18 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 20 | 12 | 22 | 8 | 17 | 9 | 55.6% | 11.6% | 90.2% | 101.9 | FUN | |
4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 1 | 5 | 3 | 1 | 73 | 22 | 26 | 25 | 3 | 56 | 22 | 9 | 36 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 43 | 25 | 46 | 18 | 35 | 18 | 66.7% | 13.7% | 92.9% | 106.6 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 35 | 12 | 13 | 9 | 1 | 21 | 8 | 4 | 21 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 20 | 11 | 21 | 10 | 18 | 8 | 75.0% | 8.6% | 90.5% | 99.0 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 38 | 14 | 12 | 12 | 0 | 37 | 10 | 2 | 19 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 19 | 11 | 21 | 9 | 18 | 8 | 33.3% | 7.9% | 89.2% | 97.1 | Unlucky | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 61 | 16 | 25 | 20 | 0 | 60 | 11 | 21 | 42 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 25 | 40 | 18 | 35 | 18 | 75.0% | 4.9% | 98.3% | 103.3 | DULL | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 30 | 4 | 13 | 13 | 0 | 26 | 11 | 4 | 18 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 21 | 11 | 20 | 8 | 18 | 9 | 100.0% | 10.0% | 96.2% | 106.2 | LUCKY | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 59 | 18 | 26 | 15 | 0 | 59 | 28 | 6 | 33 | 11 | 2 | 18.18% | 3 | 1 | 66.67% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 42 | 24 | 41 | 17 | 35 | 18 | 12.5% | 5.1% | 86.4% | 91.5 | Unlucky | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 0 | 4 | 2 | 0 | 37 | 5 | 16 | 16 | 0 | 29 | 13 | 7 | 25 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 24 | 14 | 18 | 8 | 17 | 8 | 66.7% | 16.2% | 93.1% | 109.3 | LUCKY | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 70 | 18 | 21 | 31 | 0 | 74 | 23 | 6 | 40 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 42 | 24 | 43 | 17 | 34 | 17 | 57.1% | 8.6% | 94.6% | 103.2 | DULL | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 60 | 24 | 22 | 14 | 3 | 65 | 19 | 4 | 34 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 26 | 43 | 17 | 36 | 18 | 50.0% | 8.3% | 92.3% | 100.6 | DULL | |
13 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 2 | 1 | 76 | 22 | 33 | 20 | 1 | 69 | 18 | 15 | 43 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 27 | 41 | 17 | 34 | 16 | 77.8% | 10.5% | 95.7% | 106.2 | LUCKY | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 40 | 13 | 18 | 8 | 1 | 37 | 12 | 2 | 18 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 20 | 12 | 23 | 9 | 17 | 8 | 0.0% | 5.0% | 91.9% | 96.9 | DULL | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 0 | 5 | 0 | 35 | 10 | 8 | 17 | 0 | 36 | 14 | 6 | 15 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 23 | 14 | 20 | 8 | 16 | 8 | 85.7% | 17.1% | 97.2% | 114.4 | LUCKY | |
_Vs Division | 9 | 6 | 1 | 0 | 0 | 1 | 0 | 1 | 31 | 22 | 9 | 14 | 0.778 | 31 | 52 | 83 | 1 | 0 | 6 | 7 | 18 | 0 | 316 | 86 | 117 | 112 | 4 | 328 | 99 | 32 | 166 | 28 | 7 | 25.00% | 11 | 2 | 81.82% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 200 | 120 | 189 | 77 | 155 | 78 | 54.5% | 9.8% | 93.3% | 103.1 | LUCKY | |
_Vs Conference | 17 | 10 | 3 | 0 | 2 | 1 | 0 | 1 | 53 | 40 | 13 | 26 | 0.765 | 53 | 89 | 142 | 1 | 1 | 14 | 14 | 23 | 2 | 590 | 161 | 234 | 192 | 6 | 578 | 178 | 78 | 323 | 59 | 10 | 16.95% | 24 | 5 | 79.17% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 373 | 221 | 357 | 149 | 295 | 150 | 55.1% | 9.0% | 93.1% | 102.1 | LUCKY | |
_Since Last GM Reset | 23 | 12 | 6 | 0 | 2 | 1 | 1 | 1 | 73 | 56 | 17 | 32 | 0.696 | 73 | 121 | 194 | 1 | 1 | 17 | 23 | 30 | 3 | 798 | 220 | 311 | 264 | 9 | 774 | 252 | 99 | 443 | 81 | 16 | 19.75% | 32 | 6 | 81.25% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 502 | 294 | 487 | 203 | 401 | 204 | 53.3% | 9.1% | 92.8% | 101.9 | LUCKY | |
Total | 23 | 12 | 6 | 0 | 2 | 1 | 1 | 1 | 73 | 56 | 17 | 32 | 0.696 | 73 | 121 | 194 | 1 | 1 | 17 | 23 | 30 | 3 | 798 | 220 | 311 | 264 | 9 | 774 | 252 | 99 | 443 | 81 | 16 | 19.75% | 32 | 6 | 81.25% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 502 | 294 | 487 | 203 | 401 | 204 | 53.3% | 9.1% | 92.8% | 101.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 567 |
Neutral Zone Start | 351 |
Defensive Zone Start | 513 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 705 |
Faceoffs Lost | 726 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.6 | 30.68 |
Overtime | 35.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 56 |
---|---|
PP Goal | 16 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 9 | 6 |
Lost | 2 | 4 |
Overtime Lost | 0 | 2 |
PP Attempt | 81 |
---|---|
PP Goal | 16 |
PK Attempt | 32 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 34.7 |
Shots Against | 33.7 |
Goals For | 3.2 |
Goals Against | 2.4 |
Hits | 19.3 |
Shots Blocked | 11.0 |
Pim | 4.3 |
Projected Total Cap Hit | 70,537,500$ |
Projected Cap Space | 11,962,500$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 18,369,150$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Golden Knights Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | |
Alex Goligoski ![]() | D | 37 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Alexander Romanov ![]() | D | 22 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Anton Khudobin ![]() | G | 36 | 3,333,333$ | 3,333,333$ | |||||||
Blake Coleman ![]() | LW/RW | 30 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | |||
Dougie Hamilton ![]() | D | 29 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | ||
Dylan Guenther ![]() | RW | 18 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Filip Gustavsson ![]() | G | 24 | 787,500$ | 787,500$ | |||||||
Jakob Silfverberg ![]() | LW/RW | 31 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Jesper Bratt ![]() | LW/RW | 24 | 5,450,000$ | 5,450,000$ | |||||||
Jordan Greenway ![]() | LW/RW | 25 | 3,000,000$ | 3,000,000$ | |||||||
Josh Leivo ![]() | LW/RW | 29 | 750,000$ | 750,000$ | |||||||
Laurent Brossoit ![]() | G | 29 | 2,325,000$ | 2,325,000$ | |||||||
Marc-Edouard Vlasic ![]() | D | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||
Matthew Boldy ![]() | LW/RW | 21 | 1,325,000$ | 1,325,000$ | |||||||
Mikael Backlund ![]() | C | 33 | 5,350,000$ | 5,350,000$ | 5,350,000$ | ||||||
Mikhail Maltsev ![]() | C/LW | 24 | 800,000$ | 800,000$ | |||||||
Nick Cicek ![]() | D | 22 | 835,000$ | 835,000$ | 835,000$ | ||||||
Noel Acciari ![]() | C/RW | 30 | 1,250,000$ | 1,250,000$ | |||||||
Tanner Laczynski ![]() | C/RW | 25 | 762,500$ | 762,500$ | 762,500$ | ||||||
Trevor Zegras ![]() | C/LW | 21 | 925,000$ | 925,000$ | |||||||
Tyler Johnson ![]() | C/LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Tyler Motte ![]() | LW/RW | 27 | 1,350,000$ | 1,350,000$ |
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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 |
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1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 1 | 0 | 1 | 1 | 4 | 0 | 74 | 16 | 32 | 26 | 0 | 87 | 18 | 7 | 34 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 27 | 41 | 17 | 33 | 17 | 46.2% | 8.1% | 92.0% | 100.1 | DULL | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 67 | 19 | 26 | 22 | 0 | 77 | 31 | 6 | 47 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 43 | 24 | 42 | 18 | 34 | 16 | 22.2% | 6.0% | 90.9% | 96.9 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 43 | 7 | 20 | 16 | 0 | 41 | 14 | 0 | 18 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 20 | 12 | 22 | 8 | 17 | 9 | 55.6% | 11.6% | 90.2% | 101.9 | FUN | |
4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 1 | 5 | 3 | 1 | 73 | 22 | 26 | 25 | 3 | 56 | 22 | 9 | 36 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 43 | 25 | 46 | 18 | 35 | 18 | 66.7% | 13.7% | 92.9% | 106.6 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 35 | 12 | 13 | 9 | 1 | 21 | 8 | 4 | 21 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 20 | 11 | 21 | 10 | 18 | 8 | 75.0% | 8.6% | 90.5% | 99.0 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 38 | 14 | 12 | 12 | 0 | 37 | 10 | 2 | 19 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 19 | 11 | 21 | 9 | 18 | 8 | 33.3% | 7.9% | 89.2% | 97.1 | Unlucky | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 4 | 7 | 0 | 1 | 1 | 1 | 1 | 0 | 61 | 16 | 25 | 20 | 0 | 60 | 11 | 21 | 42 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 25 | 40 | 18 | 35 | 18 | 75.0% | 4.9% | 98.3% | 103.3 | DULL | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 30 | 4 | 13 | 13 | 0 | 26 | 11 | 4 | 18 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 21 | 11 | 20 | 8 | 18 | 9 | 100.0% | 10.0% | 96.2% | 106.2 | LUCKY | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 59 | 18 | 26 | 15 | 0 | 59 | 28 | 6 | 33 | 11 | 2 | 18.18% | 3 | 1 | 66.67% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 42 | 24 | 41 | 17 | 35 | 18 | 12.5% | 5.1% | 86.4% | 91.5 | Unlucky | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 0 | 4 | 2 | 0 | 37 | 5 | 16 | 16 | 0 | 29 | 13 | 7 | 25 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 24 | 14 | 18 | 8 | 17 | 8 | 66.7% | 16.2% | 93.1% | 109.3 | LUCKY | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 70 | 18 | 21 | 31 | 0 | 74 | 23 | 6 | 40 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 42 | 24 | 43 | 17 | 34 | 17 | 57.1% | 8.6% | 94.6% | 103.2 | DULL | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 60 | 24 | 22 | 14 | 3 | 65 | 19 | 4 | 34 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 26 | 43 | 17 | 36 | 18 | 50.0% | 8.3% | 92.3% | 100.6 | DULL | |
13 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 2 | 1 | 76 | 22 | 33 | 20 | 1 | 69 | 18 | 15 | 43 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 44 | 27 | 41 | 17 | 34 | 16 | 77.8% | 10.5% | 95.7% | 106.2 | LUCKY | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 40 | 13 | 18 | 8 | 1 | 37 | 12 | 2 | 18 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 20 | 12 | 23 | 9 | 17 | 8 | 0.0% | 5.0% | 91.9% | 96.9 | DULL | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 0 | 5 | 0 | 35 | 10 | 8 | 17 | 0 | 36 | 14 | 6 | 15 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 23 | 14 | 20 | 8 | 16 | 8 | 85.7% | 17.1% | 97.2% | 114.4 | LUCKY | |
_Vs Division | 9 | 6 | 1 | 0 | 0 | 1 | 0 | 1 | 31 | 22 | 9 | 14 | 0.778 | 31 | 52 | 83 | 1 | 0 | 6 | 7 | 18 | 0 | 316 | 86 | 117 | 112 | 4 | 328 | 99 | 32 | 166 | 28 | 7 | 25.00% | 11 | 2 | 81.82% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 200 | 120 | 189 | 77 | 155 | 78 | 54.5% | 9.8% | 93.3% | 103.1 | LUCKY | |
_Vs Conference | 17 | 10 | 3 | 0 | 2 | 1 | 0 | 1 | 53 | 40 | 13 | 26 | 0.765 | 53 | 89 | 142 | 1 | 1 | 14 | 14 | 23 | 2 | 590 | 161 | 234 | 192 | 6 | 578 | 178 | 78 | 323 | 59 | 10 | 16.95% | 24 | 5 | 79.17% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 373 | 221 | 357 | 149 | 295 | 150 | 55.1% | 9.0% | 93.1% | 102.1 | LUCKY | |
_Since Last GM Reset | 23 | 12 | 6 | 0 | 2 | 1 | 1 | 1 | 73 | 56 | 17 | 32 | 0.696 | 73 | 121 | 194 | 1 | 1 | 17 | 23 | 30 | 3 | 798 | 220 | 311 | 264 | 9 | 774 | 252 | 99 | 443 | 81 | 16 | 19.75% | 32 | 6 | 81.25% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 502 | 294 | 487 | 203 | 401 | 204 | 53.3% | 9.1% | 92.8% | 101.9 | LUCKY | |
Total | 23 | 12 | 6 | 0 | 2 | 1 | 1 | 1 | 73 | 56 | 17 | 32 | 0.696 | 73 | 121 | 194 | 1 | 1 | 17 | 23 | 30 | 3 | 798 | 220 | 311 | 264 | 9 | 774 | 252 | 99 | 443 | 81 | 16 | 19.75% | 32 | 6 | 81.25% | 0 | 274 | 567 | 48.32% | 243 | 513 | 47.37% | 188 | 351 | 53.56% | 502 | 294 | 487 | 203 | 401 | 204 | 53.3% | 9.1% | 92.8% | 101.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 567 |
Neutral Zone Start | 351 |
Defensive Zone Start | 513 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 705 |
Faceoffs Lost | 726 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.6 | 30.68 |
Overtime | 35.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 56 |
---|---|
PP Goal | 16 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 9 | 6 |
Lost | 2 | 4 |
Overtime Lost | 0 | 2 |
PP Attempt | 81 |
---|---|
PP Goal | 16 |
PK Attempt | 32 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 34.7 |
Shots Against | 33.7 |
Goals For | 3.2 |
Goals Against | 2.4 |
Hits | 19.3 |
Shots Blocked | 11.0 |
Pim | 4.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,537,500$ | 0$ | 70,537,500$ | 11,962,500$ |
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 | 63631 | 52198 | 20872 | 42357 | 10368 |
Attendance PCT | 96.41% | 94.91% | 94.87% | 96.27% | 94.25% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 17221 - 95.67% | 619,327$ | 6,812,594$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,537,500$ | 70,537,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
18,369,150$ | 70,537,500$ | 18,369,150$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,579,802$ | 142 | 367,383$ | 52,168,386$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
58,221,208$ | 70,537,500$ | -289,066,412$ | -328,707,818$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 2023 | |||||
Alexander Radulov | Link | ||||
Andy Greene | Link | ||||
Anton Johannesson | 2020 | 136 | |||
Artem Barabosha | 2022 | 205 | |||
Benton Maass | |||||
Brett Connolly | Link | ||||
Bulat Shafigullin | 2018 | 92 | |||
Calle Clang | 2020 | 44 | |||
Calvin Pickard | Link | ||||
Cameron Lund | 2022 | 51 | |||
Cole Coskey | 2019 | 198 | |||
Cole Hults | |||||
Cory Schneider | Link | ||||
Cross Hanas | 2020 | 64 | |||
David Reinbacher | 2023 | 7 | |||
Dennis Hildeby | 2022 | 83 | |||
Dimitri Samorukov | |||||
Egor Serdyuk | 2019 | 174 | |||
Erik Portillo | 2019 | 62 | |||
Filip Bystedt | 2022 | 31 | |||
Greg Pateryn | Link | ||||
Ian Moore | 2020 | 76 | |||
Jackson LaCombe | 2019 | 39 | |||
Jacob Perreault | Link | ||||
Jeremias Lindewall | 2020 | 200 | |||
Jordan Hollett | |||||
Josh Doan | 2021 | 45 | |||
Josh Pillar | 2021 | 134 | |||
Juraj Pekarcik | 2023 | 68 | |||
Landon Slaggert | 2020 | 81 | |||
Logan Hutsko | |||||
Lukas Vejdemo | Link | ||||
Matthew Coronato | 2021 | 13 | |||
Matthew Knies | 2021 | 62 | |||
Matthew Poitras | 2022 | 67 | |||
Matthew Stienburg | 2019 | 81 | |||
Michael Benning | 2020 | 107 | |||
Michael McNiven | Link | ||||
Mikko Kokkonen | 2019 | 59 | |||
Oskari Laaksonen | |||||
Paul Ladue | Link | ||||
Rasmus Kumpulainen | 2023 | 71 | |||
Riley Hughes | 2018 | 216 | |||
Ryan Johnson | 2019 | 37 | |||
Ryan McCleary | 2021 | 198 | |||
Ryan McGregor | |||||
Sam Colangelo | 2020 | 31 | |||
Scott Ratzlaff | 2023 | 106 | |||
Semyon Chystyakov | 2019 | 129 | |||
Stiven Sardarian | 2021 | 97 | |||
Ty Nelson | 2022 | 60 | |||
William von Barnekow-Lofberg | 2021 | 166 |
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