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Full Scoreboard ยป |
Vegas Golden Knights 18-16-2, 38pts · 7th in Western Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 99 | 41 | 60 | 88 | 81 | 84 | 73 | 92 | 46 | 91 | 95 | 57 | 25 | 67 | 67 | 64 | 61 | 78 | 24 | 8,900,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 59 | 1 | 92 | 87 | 65 | 79 | 83 | 82 | 56 | 84 | 85 | 74 | 59 | 77 | 77 | 51 | 61 | 76 | 27 | 5,850,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 45 | 1 | 99 | 93 | 70 | 91 | 95 | 79 | 98 | 86 | 89 | 47 | 70 | 79 | 80 | 79 | 61 | 75 | 32 | 9,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 99 | 70 | 33 | 83 | 86 | 76 | 88 | 71 | 52 | 77 | 88 | 70 | 25 | 88 | 91 | 60 | 61 | 75 | 29 | 4,850,000$/1yrs | |||
![]() | 0 | C | 100.00 | 70 | 34 | 79 | 81 | 76 | 91 | 95 | 85 | 71 | 79 | 77 | 60 | 74 | 54 | 54 | 81 | 61 | 73 | 22 | 3,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 62 | 15 | 95 | 83 | 75 | 86 | 84 | 66 | 99 | 86 | 69 | 73 | 25 | 72 | 72 | 66 | 61 | 72 | 30 | 5,250,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 37 | 1 | 99 | 82 | 65 | 79 | 96 | 80 | 83 | 80 | 74 | 52 | 25 | 78 | 79 | 57 | 61 | 71 | 29 | 3,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 37 | 1 | 99 | 84 | 67 | 71 | 97 | 77 | 31 | 72 | 90 | 37 | 25 | 72 | 73 | 58 | 61 | 69 | 28 | 1,350,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 16 | 96 | 80 | 75 | 91 | 95 | 68 | 91 | 65 | 72 | 53 | 25 | 72 | 74 | 69 | 61 | 68 | 29 | 2,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 45 | 6 | 99 | 87 | 73 | 87 | 79 | 68 | 50 | 76 | 78 | 49 | 25 | 70 | 71 | 63 | 61 | 68 | 27 | 1,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 59 | 20 | 93 | 78 | 63 | 80 | 77 | 71 | 67 | 75 | 72 | 59 | 75 | 55 | 55 | 91 | 61 | 67 | 20 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 65 | 27 | 84 | 74 | 75 | 88 | 95 | 75 | 70 | 68 | 69 | 54 | 68 | 49 | 49 | 86 | 61 | 67 | 21 | 950,000$/4yrs | |||
![]() | 0 | D | 97.00 | 60 | 13 | 99 | 89 | 90 | 96 | 98 | 70 | 25 | 60 | 58 | 90 | 45 | 75 | 76 | 60 | 61 | 77 | 30 | 8,500,000$/4yrs | |||
![]() | 25 | D | 100.00 | 63 | 20 | 97 | 81 | 84 | 98 | 88 | 60 | 25 | 56 | 48 | 83 | 25 | 84 | 85 | 62 | 61 | 74 | 35 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 80 | 77 | 97 | 81 | 80 | 60 | 25 | 51 | 48 | 83 | 25 | 69 | 70 | 57 | 61 | 72 | 30 | 3,500,000$/1yrs | |||
![]() | 17 | D | 100.00 | 76 | 62 | 73 | 72 | 90 | 82 | 73 | 57 | 25 | 47 | 46 | 88 | 25 | 73 | 73 | 48 | 61 | 71 | 28 | 700,000$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 15 | 87 | 80 | 74 | 83 | 76 | 58 | 25 | 50 | 47 | 83 | 25 | 75 | 76 | 61 | 61 | 70 | 32 | 1,500,000$/2yrs | |||
![]() | 2 | D | 100.00 | 85 | 55 | 91 | 72 | 84 | 78 | 77 | 55 | 25 | 50 | 50 | 80 | 25 | 80 | 81 | 57 | 61 | 70 | 33 | 700,000$/3yrs | |||
![]() | 0 | D | 100.00 | 86 | 58 | 75 | 71 | 93 | 84 | 74 | 54 | 18 | 52 | 42 | 72 | 40 | 57 | 57 | 44 | 64 | 67 | 27 | 1,750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.84 | 66 | 26 | 86 | 81 | 78 | 84 | 85 | 70 | 52 | 69 | 68 | 67 | 38 | 71 | 72 | 64 | 61 | 72 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 80 | 79 | 65 | 76 | 99 | 99 | 99 | 99 | 87 | 87 | 61 | 61 | 74 | 69 | 82 | 28 | 7,500,000$/4yrs |
![]() | 0 | 100.00 | 72 | 61 | 91 | 81 | 81 | 86 | 96 | 92 | 96 | 72 | 68 | 58 | 58 | 81 | 70 | 79 | 24 | 2,000,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 78 | 71 | 85 | 73 | 79 | 93 | 98 | 96 | 98 | 80 | 78 | 60 | 60 | 78 | 70 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bill Peters | 61 | 85 | 92 | 69 | 88 | 69 | 62 | CAN | 62 | 5 | 2,500,000$ |
General Manager | Stef |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Benoit-Olivier Groulx | 0 | C | 36 | 10 | 19 | 29 | 3 | 34 | 0 | 57 | 137 | 51 | 70 | 7.30% | 13 | 18.94 | 1 | 3 | 4 | 61 | 1 | 1 | 2 | 93 | 1 | 0 | 44.61% | 742 | 24 | 11 | 0 | 0 | 0.85 | 0 | 2 | |
2 | Brady Tkachuk | 0 | LW | 36 | 11 | 14 | 25 | -2 | 76 | 0 | 87 | 140 | 47 | 81 | 7.86% | 9 | 17.35 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 15 | 3 | 1 | 34.09% | 44 | 34 | 14 | 0 | 0 | 0.80 | 0 | 0 | |
3 | Kasperi Kapanen | 0 | LW/RW | 36 | 11 | 13 | 24 | -2 | 2 | 0 | 18 | 58 | 22 | 29 | 18.97% | 13 | 18.58 | 3 | 7 | 10 | 61 | 0 | 0 | 0 | 0 | 4 | 0 | 33.08% | 130 | 8 | 6 | 0 | 0 | 0.72 | 0 | 3 | |
4 | Colton Sissons | 0 | C/LW/RW | 36 | 8 | 13 | 21 | 3 | 4 | 0 | 42 | 70 | 15 | 47 | 11.43% | 8 | 16.54 | 1 | 5 | 6 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 51.79% | 56 | 25 | 11 | 1 | 0 | 0.71 | 0 | 0 | |
5 | Colton Parayko | 0 | D | 36 | 2 | 19 | 21 | -6 | 0 | 0 | 30 | 68 | 25 | 30 | 2.94% | 70 | 25.86 | 0 | 4 | 4 | 67 | 0 | 2 | 2 | 106 | 0 | 0 | 0.00% | 0 | 16 | 30 | 0 | 0 | 0.45 | 0 | 0 | |
6 | Nick Schmaltz | 0 | C/LW/RW | 36 | 11 | 9 | 20 | -2 | 4 | 0 | 34 | 113 | 37 | 53 | 9.73% | 13 | 16.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 39.72% | 793 | 29 | 11 | 0 | 0 | 0.68 | 0 | 0 | |
7 | Alexander Kerfoot | 0 | C/LW | 36 | 10 | 9 | 19 | 5 | 0 | 0 | 9 | 83 | 34 | 48 | 12.05% | 6 | 15.07 | 3 | 2 | 5 | 61 | 3 | 0 | 3 | 112 | 0 | 1 | 56.11% | 262 | 13 | 8 | 0 | 0 | 0.70 | 0 | 2 | |
8 | Oliver Bjorkstrand | 0 | LW/RW | 36 | 10 | 7 | 17 | 0 | 0 | 0 | 7 | 69 | 26 | 38 | 14.49% | 7 | 15.17 | 6 | 4 | 10 | 63 | 0 | 0 | 0 | 100 | 2 | 1 | 44.00% | 25 | 19 | 7 | 0 | 0 | 0.62 | 0 | 3 | |
9 | Tom Wilson | 0 | RW | 36 | 4 | 9 | 13 | 3 | 34 | 0 | 83 | 65 | 11 | 40 | 6.15% | 13 | 14.66 | 1 | 1 | 2 | 61 | 0 | 0 | 0 | 90 | 2 | 0 | 42.31% | 130 | 17 | 12 | 0 | 0 | 0.49 | 0 | 2 | |
10 | Brandon Coe | 0 | RW | 36 | 7 | 6 | 13 | 3 | 14 | 0 | 38 | 71 | 21 | 41 | 9.86% | 13 | 14.26 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 44.00% | 25 | 15 | 8 | 0 | 0 | 0.51 | 0 | 0 | |
11 | Matt Duchene | 0 | C/LW | 36 | 8 | 4 | 12 | -1 | 0 | 0 | 5 | 60 | 19 | 56 | 13.33% | 0 | 9.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 61.84% | 152 | 29 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
12 | Jamie Oleksiak | 0 | D | 36 | 1 | 8 | 9 | 7 | 28 | 0 | 54 | 34 | 15 | 21 | 2.94% | 47 | 20.13 | 1 | 0 | 1 | 58 | 0 | 0 | 0 | 94 | 0 | 0 | 0.00% | 0 | 0 | 26 | 0 | 0 | 0.25 | 0 | 0 | |
13 | Ben Harpur | 17 | D | 36 | 2 | 7 | 9 | -11 | 34 | 0 | 56 | 42 | 14 | 22 | 4.76% | 47 | 19.75 | 1 | 2 | 3 | 66 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5 | 30 | 0 | 0 | 0.25 | 0 | 0 | |
14 | Dmitry Kulikov | 0 | D | 36 | 0 | 8 | 8 | 2 | 9 | 5 | 19 | 28 | 9 | 7 | 0.00% | 53 | 17.03 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 110 | 0 | 0 | 0.00% | 0 | 3 | 22 | 0 | 0 | 0.26 | 0 | 0 | |
15 | Erik Johnson | 25 | D | 36 | 1 | 7 | 8 | 7 | 0 | 0 | 35 | 36 | 18 | 22 | 2.78% | 58 | 21.83 | 0 | 1 | 1 | 58 | 0 | 1 | 1 | 116 | 0 | 1 | 0.00% | 0 | 7 | 27 | 0 | 0 | 0.20 | 0 | 0 | |
16 | Kent Johnson | 0 | C | 36 | 2 | 5 | 7 | -2 | 2 | 0 | 23 | 32 | 7 | 12 | 6.25% | 6 | 9.74 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 21 | 0 | 0 | 41.18% | 17 | 11 | 4 | 0 | 0 | 0.40 | 1 | 1 | |
17 | Luke Schenn | 2 | D | 36 | 1 | 3 | 4 | 5 | 12 | 0 | 28 | 35 | 12 | 14 | 2.86% | 42 | 15.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 1 | 19 | 0 | 0 | 0.14 | 0 | 0 | |
18 | Phillip Danault | 0 | C | 36 | 1 | 2 | 3 | -1 | 4 | 0 | 18 | 37 | 15 | 29 | 2.70% | 10 | 8.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 87.50% | 8 | 11 | 6 | 0 | 0 | 0.19 | 0 | 0 | |
19 | Kyle Wood | 0 | D | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 659 | 100 | 162 | 262 | 11 | 257 | 5 | 643 | 1178 | 398 | 660 | 8.49% | 428 | 16.14 | 17 | 29 | 46 | 637 | 4 | 4 | 8 | 878 | 17 | 6 | 44.67% | 2384 | 267 | 252 | 1 | 0 | 0.49 | 1 | 13 |
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 | Ilya Sorokin | Golden Knights | 36 | 18 | 16 | 2 | 0.918 | 2.80 | 2098 | 2 | 0 | 98 | 1200 | 489 | 1 | 2 | 0.769 | 13 | 36 | 0 | 5 | 5 | 1 |
2 | Stuart Skinner | Golden Knights | 3 | 0 | 0 | 0 | 0.894 | 4.05 | 74 | 0 | 0 | 5 | 47 | 18 | 0 | 0 | 0.000 | 0 | 0 | 36 | 0 | 0 | 0 |
Team Total or Average | 39 | 18 | 16 | 2 | 0.917 | 2.84 | 2173 | 2 | 0 | 103 | 1247 | 507 | 1 | 2 | 0.769 | 13 | 36 | 36 | 5 | 5 | 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 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 13 | 22 | 1 | 0 | 1 | 3 | 5 | 0 | 97 | 28 | 33 | 35 | 3 | 100 | 46 | 20 | 51 | 6 | 1 | 16.67% | 10 | 0 | 100.00% | 1 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 62 | 37 | 74 | 25 | 48 | 23 | 47.1% | 9.3% | 91.0% | 100.3 | FUN | |
2 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 15 | -5 | 4 | 0.400 | 10 | 15 | 25 | 0 | 0 | 4 | 3 | 3 | 0 | 148 | 40 | 58 | 50 | 0 | 194 | 66 | 32 | 80 | 6 | 2 | 33.33% | 16 | 3 | 81.25% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 94 | 56 | 120 | 45 | 84 | 38 | 40.0% | 6.8% | 92.3% | 99.0 | DULL | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 68 | 34 | 11 | 23 | 0 | 63 | 30 | 20 | 30 | 5 | 1 | 20.00% | 10 | 4 | 60.00% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 37 | 21 | 48 | 19 | 34 | 15 | 100.0% | 5.9% | 93.7% | 99.5 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 75 | 19 | 26 | 30 | 0 | 64 | 24 | 12 | 41 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 35 | 20 | 51 | 19 | 33 | 14 | 46.2% | 9.3% | 85.9% | 95.3 | FUN | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 2 | 3 | 1 | 0 | 89 | 39 | 27 | 23 | 0 | 109 | 33 | 24 | 40 | 8 | 1 | 12.50% | 12 | 3 | 75.00% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 64 | 36 | 63 | 26 | 52 | 25 | 50.0% | 6.7% | 92.7% | 99.4 | DULL | |
6 | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 16 | 27 | 0 | 0 | 3 | 3 | 4 | 1 | 129 | 42 | 42 | 42 | 9 | 136 | 57 | 46 | 81 | 8 | 1 | 12.50% | 23 | 7 | 69.57% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 73 | 40 | 101 | 40 | 70 | 30 | 52.6% | 8.5% | 88.2% | 96.8 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 2 | 1 | 30 | 5 | 6 | 17 | 2 | 31 | 11 | 8 | 11 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 17 | 9 | 24 | 10 | 18 | 8 | 55.6% | 16.7% | 87.1% | 103.8 | FUN | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 23 | 10 | 6 | 6 | 6 | 33 | 11 | 2 | 14 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 20 | 11 | 26 | 10 | 18 | 8 | 25.0% | 8.7% | 90.9% | 99.6 | Unlucky | |
9 | 6 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 19 | 16 | 3 | 8 | 0.667 | 19 | 33 | 52 | 0 | 0 | 5 | 4 | 9 | 1 | 233 | 82 | 67 | 81 | 3 | 208 | 54 | 32 | 112 | 12 | 3 | 25.00% | 16 | 1 | 93.75% | 1 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 123 | 71 | 135 | 52 | 102 | 50 | 51.6% | 8.2% | 92.3% | 100.5 | DULL | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 27 | 6 | 6 | 15 | 0 | 29 | 9 | 10 | 25 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 19 | 10 | 22 | 10 | 17 | 8 | 75.0% | 11.1% | 96.6% | 107.7 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 40 | 17 | 9 | 14 | 0 | 28 | 19 | 4 | 20 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 23 | 14 | 21 | 8 | 14 | 7 | 60.0% | 10.0% | 89.3% | 99.3 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 0 | 4 | 0 | 28 | 7 | 12 | 9 | 0 | 29 | 6 | 6 | 23 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 19 | 12 | 24 | 8 | 16 | 8 | 75.0% | 21.4% | 96.6% | 118.0 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 1 | 2 | 0 | 61 | 16 | 20 | 25 | 0 | 76 | 20 | 19 | 43 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 39 | 21 | 45 | 19 | 35 | 16 | 25.0% | 4.9% | 88.2% | 93.1 | Unlucky | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 28 | 9 | 9 | 5 | 5 | 37 | 10 | 8 | 27 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 22 | 12 | 22 | 9 | 17 | 8 | 66.7% | 7.1% | 97.3% | 104.4 | DULL | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 66 | 23 | 28 | 15 | 0 | 83 | 25 | 10 | 30 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 36 | 21 | 50 | 17 | 33 | 15 | 44.4% | 7.6% | 92.8% | 100.3 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 36 | 12 | 17 | 7 | 0 | 29 | 7 | 6 | 15 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 20 | 13 | 22 | 8 | 16 | 8 | 83.3% | 13.9% | 93.1% | 107.0 | LUCKY | |
_Vs Division | 18 | 8 | 8 | 0 | 1 | 0 | 0 | 1 | 49 | 53 | -4 | 19 | 0.528 | 49 | 81 | 130 | 1 | 0 | 15 | 13 | 20 | 1 | 621 | 203 | 195 | 219 | 6 | 629 | 220 | 116 | 314 | 34 | 8 | 23.53% | 58 | 10 | 82.76% | 2 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 353 | 207 | 430 | 161 | 303 | 142 | 48.8% | 7.9% | 91.6% | 99.5 | DULL | |
_Vs Conference | 27 | 9 | 13 | 0 | 2 | 0 | 1 | 2 | 73 | 84 | -11 | 26 | 0.481 | 73 | 117 | 190 | 1 | 0 | 21 | 21 | 28 | 3 | 892 | 299 | 276 | 307 | 23 | 938 | 332 | 196 | 460 | 56 | 11 | 19.64% | 98 | 20 | 79.59% | 3 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 528 | 305 | 646 | 249 | 462 | 215 | 49.2% | 8.2% | 91.0% | 99.2 | Unlucky | |
_Since Last GM Reset | 36 | 14 | 16 | 0 | 3 | 0 | 1 | 2 | 101 | 107 | -6 | 38 | 0.528 | 101 | 162 | 263 | 2 | 0 | 26 | 31 | 40 | 4 | 1178 | 389 | 377 | 397 | 28 | 1249 | 428 | 259 | 643 | 82 | 17 | 20.73% | 128 | 26 | 79.69% | 4 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 709 | 412 | 855 | 331 | 613 | 288 | 50.9% | 8.6% | 91.4% | 100.0 | DULL | |
Total | 36 | 14 | 16 | 0 | 3 | 0 | 1 | 2 | 101 | 107 | -6 | 38 | 0.528 | 101 | 162 | 263 | 2 | 0 | 26 | 31 | 40 | 4 | 1178 | 389 | 377 | 397 | 28 | 1249 | 428 | 259 | 643 | 82 | 17 | 20.73% | 128 | 26 | 79.69% | 4 | 375 | 827 | 45.34% | 456 | 1005 | 45.37% | 234 | 532 | 43.98% | 709 | 412 | 855 | 331 | 613 | 288 | 50.9% | 8.6% | 91.4% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 17 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 827 |
Neutral Zone Start | 532 |
Defensive Zone Start | 1005 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 1065 |
Faceoffs Lost | 1299 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 32.3 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 78 |
---|---|
PP Goal | 17 |
PK Goal | 4 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 10 | 8 |
Lost | 8 | 8 |
Overtime Lost | 1 | 1 |
PP Attempt | 82 |
---|---|
PP Goal | 17 |
PK Attempt | 128 |
PK Goal Against | 26 |
Home | |
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Shots For | 32.7 |
Shots Against | 34.7 |
Goals For | 2.8 |
Goals Against | 3.0 |
Hits | 17.9 |
Shots Blocked | 11.9 |
Pim | 7.2 |
Projected Total Cap Hit | 81,145,564$ |
Projected Cap Space | 8,854,436$ |
Retains And Buyout Cap Hit | 6,000,000$ |
Salary Cap To Date | 34,724,819$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kerfoot | C/LW | 29 | 3,250,000$ | 3,250,000$ | |||||||
Ben Harpur ![]() | D | 28 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Benoit-Olivier Groulx ![]() | C | 22 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Brady Tkachuk | LW | 24 | 8,900,000$ | 8,900,000$ | 8,900,000$ | 8,900,000$ | |||||
Brandon Coe ![]() | RW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ||||
Colton Parayko | D | 30 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | ||||
Colton Sissons ![]() | C/LW/RW | 29 | 2,250,000$ | 2,250,000$ | |||||||
Dmitry Kulikov | D | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Erik Johnson | D | 35 | 2,500,000$ | 2,500,000$ | |||||||
Ilya Sorokin | D | 28 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | ||||
Jamie Oleksiak | D | 30 | 3,500,000$ | 3,500,000$ | |||||||
Kasperi Kapanen ![]() | LW/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Kent Johnson ![]() | C | 20 | 925,000$ | 925,000$ | |||||||
Kyle Wood ![]() | D | 27 | 1,750,000$ | 1,750,000$ | |||||||
Luke Schenn ![]() | D | 33 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Matt Duchene | C/LW | 32 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | |||||
Nick Schmaltz | C/LW/RW | 27 | 5,850,000$ | 5,850,000$ | 5,850,000$ | ||||||
Oliver Bjorkstrand ![]() | LW/RW | 28 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Phillip Danault | C | 30 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | |||||
Stuart Skinner ![]() | C | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Tom Wilson | RW | 29 | 4,850,000$ | 4,850,000$ |
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Priority | Type | Description |
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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 |
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Ben Boyd | 4 | 49 | |||
Brady Gardiner | 8 | 54 | |||
Brody Lamb | 5 | 71 | |||
Carey Terrance | 8 | 30 | |||
David Reinbacher | 8 | 6 | |||
Jake Karabela | 7 | 73 | |||
Joseph Willis | 8 | 56 | |||
Landon Slaggert | 3 | 70 | |||
Matthew Wood | 8 | 11 | |||
Samuel Savoie | 7 | 25 | |||
Vilmer Alriksson | 8 | 78 |
Date | Matchup | Result | Detail | |||||||||||
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2023-09-26 | @ | Flames2,Golden Knights5 | RECAP | |||||||||||
2023-09-28 | @ | Rangers1,Golden Knights6 | RECAP | |||||||||||
2023-09-30 | @ | Golden Knights4,Canucks2 | RECAP | |||||||||||
2023-10-02 | @ | Panthers2,Golden Knights5 | RECAP | |||||||||||
2023-10-03 | @ | Golden Knights3,Ducks6 | RECAP | |||||||||||
2023-10-05 | @ | Golden Knights1,Oilers3 | RECAP | |||||||||||
2023-10-07 | @ | Ducks1,Golden Knights5 | RECAP | |||||||||||
2023-10-09 | @ | Golden Knights3,Kings5 | RECAP | |||||||||||
2023-10-12 | @ | Golden Knights2,Coyotes3 (SO) | RECAP | |||||||||||
2023-10-13 | @ | Kings1,Golden Knights2 | RECAP | |||||||||||
2023-10-15 | @ | Oilers1,Golden Knights3 | RECAP | |||||||||||
2023-10-18 | @ | Ducks1,Golden Knights2 | RECAP | |||||||||||
2023-10-20 | @ | Golden Knights3,Kings1 | RECAP | |||||||||||
2023-10-21 | @ | Golden Knights1,Flames3 | RECAP | |||||||||||
2023-10-23 | @ | Golden Knights2,Blues3 | RECAP | |||||||||||
2023-10-25 | @ | Canucks7,Golden Knights3 | RECAP | |||||||||||
2023-10-27 | @ | Devils2,Golden Knights5 | RECAP | |||||||||||
2023-10-31 | @ | Jets4,Golden Knights5 (OT) | RECAP | |||||||||||
2023-11-01 | @ | Golden Knights1,Red Wings5 | RECAP | |||||||||||
2023-11-02 | @ | Avalanche3,Golden Knights2 | RECAP | |||||||||||
2023-11-04 | @ | Golden Knights4,Ducks3 (OT) | RECAP | |||||||||||
2023-11-06 | @ | Golden Knights0,Kings5 | RECAP | |||||||||||
2023-11-08 | @ | Ducks2,Golden Knights1 | RECAP | |||||||||||
2023-11-10 | @ | Avalanche3,Golden Knights1 | RECAP | |||||||||||
2023-11-12 | @ | Golden Knights0,Panthers4 | RECAP | |||||||||||
2023-11-14 | @ | Blues4,Golden Knights1 | RECAP | |||||||||||
2023-11-16 | @ | Golden Knights5,Blues4 (SO) | RECAP | |||||||||||
2023-11-18 | @ | Senators1,Golden Knights3 | RECAP | |||||||||||
2023-11-20 | @ | Golden Knights3,Avalanche2 | RECAP | |||||||||||
2023-11-22 | @ | Blues5,Golden Knights3 | RECAP | |||||||||||
2023-11-23 | @ | Golden Knights4,Ducks3 | RECAP | |||||||||||
2023-11-26 | @ | Flames4,Golden Knights3 (SO) | RECAP | |||||||||||
2023-11-29 | @ | Kings3,Golden Knights2 | RECAP | |||||||||||
2023-12-01 | @ | Golden Knights2,Flyers1 (OT) | RECAP | |||||||||||
2023-12-02 | @ | Red Wings4,Golden Knights2 | RECAP | |||||||||||
2023-12-03 | @ | Golden Knights4,Maple Leafs3 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,725,000$ | 6,000,000$ | 81,145,564$ | 8,854,436$ |
Arena | Goal Horn | About us | |
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![]() | Name | T-Mobile Arena | |
City | Vegas | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 91165 | 73974 | 30569 | 59677 | 18076 |
Attendance PCT | 79.97% | 77.87% | 80.44% | 78.52% | 95.14% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
22 | 14393 - 79.96% | 4,172,680$ | 79,280,925$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,725,000$ | 75,725,000$ | 0$ | 6,000,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
35,890,367$ | 511,655$ | 34,724,819$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
91,798,966$ | 79 | 528,547$ | 41,755,213$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
43,542,922$ | 81,145,564$ | 878,485,497$ | 934,844,604$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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