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Las Vegas Golden Knights 9-2-4, 22pts · 3rd in Western Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 72 | 51 | 67 | 80 | 77 | 87 | 88 | 87 | 50 | 76 | 79 | 72 | 82 | 80 | 70 | 1 | 85 | 0 | 29 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 50 | 71 | 87 | 73 | 88 | 95 | 92 | 81 | 87 | 88 | 71 | 89 | 90 | 92 | 1 | 87 | 0 | 33 | 8,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 66 | 50 | 76 | 74 | 79 | 83 | 93 | 83 | 50 | 77 | 74 | 69 | 77 | 92 | 82 | 1 | 84 | 0 | 36 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 50 | 73 | 74 | 78 | 84 | 92 | 77 | 75 | 70 | 73 | 69 | 75 | 91 | 81 | 1 | 83 | 0 | 36 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 45 | 84 | 79 | 80 | 86 | 86 | 86 | 70 | 84 | 75 | 71 | 80 | 75 | 65 | 1 | 83 | 0 | 25 | 2,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 40 | 95 | 81 | 73 | 85 | 85 | 85 | 40 | 72 | 84 | 62 | 83 | 70 | 60 | 1 | 83 | 0 | 28 | 4,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 78 | 55 | 87 | 81 | 80 | 90 | 94 | 90 | 72 | 83 | 83 | 78 | 85 | 89 | 91 | 1 | 82 | 0 | 34 | 8,000,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 79 | 50 | 71 | 73 | 86 | 89 | 92 | 93 | 40 | 80 | 92 | 65 | 86 | 93 | 95 | 1 | 82 | 0 | 38 | 9,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 74 | 45 | 90 | 76 | 83 | 86 | 78 | 83 | 55 | 76 | 78 | 68 | 79 | 58 | 50 | 1 | 83 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 78 | 51 | 70 | 82 | 85 | 85 | 85 | 84 | 77 | 78 | 77 | 72 | 81 | 70 | 60 | 1 | 77 | 0 | 23 | 4,820,000$/7yrs | |||
![]() | 0 | C | 100.00 | 75 | 50 | 72 | 75 | 85 | 89 | 90 | 88 | 83 | 83 | 79 | 70 | 81 | 85 | 81 | 1 | 80 | 0 | 30 | 8,176,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 51 | 70 | 87 | 77 | 89 | 91 | 85 | 72 | 78 | 77 | 83 | 83 | 86 | 82 | 1 | 79 | 0 | 29 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 45 | 86 | 75 | 80 | 91 | 93 | 77 | 40 | 77 | 63 | 82 | 72 | 88 | 78 | 1 | 84 | 0 | 32 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 50 | 72 | 75 | 86 | 91 | 90 | 93 | 40 | 84 | 82 | 87 | 83 | 95 | 85 | 1 | 82 | 0 | 38 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 55 | 77 | 81 | 80 | 87 | 94 | 75 | 40 | 71 | 65 | 98 | 74 | 89 | 79 | 1 | 83 | 0 | 36 | 5,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 45 | 89 | 72 | 86 | 86 | 92 | 74 | 40 | 68 | 60 | 85 | 69 | 91 | 81 | 1 | 84 | 0 | 35 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 61 | 69 | 82 | 81 | 88 | 90 | 79 | 40 | 77 | 65 | 92 | 75 | 85 | 75 | 1 | 80 | 0 | 30 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 40 | 93 | 83 | 86 | 88 | 88 | 82 | 40 | 75 | 72 | 95 | 79 | 80 | 76 | 1 | 82 | 0 | 29 | 5,800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 83 | 56 | 70 | 71 | 90 | 84 | 88 | 80 | 50 | 73 | 73 | 68 | 75 | 80 | 70 | 1 | 77 | 0 | 27 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 74 | 49 | 78 | 78 | 81 | 87 | 90 | 84 | 56 | 77 | 76 | 77 | 79 | 84 | 76 | 1 | 82 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 79 | 77 | 89 | 78 | 79 | 79 | 80 | 80 | 79 | 76 | 83 | 76 | 1 | 86 | 0 | 30 | 1,800,000$/1yrs |
![]() | 0 | 100.00 | 94 | 86 | 87 | 77 | 92 | 92 | 88 | 92 | 91 | 91 | 85 | 60 | 53 | 1 | 81 | 0 | 27 | 3,400,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 89 | 83 | 82 | 83 | 85 | 86 | 84 | 86 | 86 | 85 | 81 | 72 | 65 | 1 | 84 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 85 | 85 | 92 | 87 | 81 | 76 | 1 | CAN | 54 | 3 | 500,000$ |
General Manager | Adam J Forest |
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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 | Steven Stamkos | 0 | C/LW | 16 | 4 | 8 | 12 | -3 | 9 | 5 | 39 | 45 | 16 | 31 | 8.89% | 1 | 17.96 | 0 | 1 | 1 | 36 | 0 | 0 | 0 | 6 | 1 | 0 | 54.05% | 37 | 12 | 1 | 0 | 0 | 0.84 | 0 | 0 | ||
2 | Casey Mittelstadt | 0 | C/LW | 15 | 4 | 8 | 12 | 5 | 7 | 5 | 23 | 45 | 16 | 21 | 8.89% | 4 | 15.99 | 1 | 1 | 2 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 49.12% | 57 | 7 | 6 | 0 | 0 | 1.00 | 0 | 0 | ||
3 | Tomas Hertl | 0 | C | 15 | 5 | 7 | 12 | 2 | 9 | 5 | 25 | 25 | 15 | 17 | 20.00% | 2 | 19.10 | 1 | 1 | 2 | 25 | 0 | 0 | 0 | 31 | 0 | 0 | 57.05% | 305 | 6 | 7 | 0 | 0 | 0.84 | 1 | 4 | ||
4 | Scott Laughton | 0 | C/LW | 16 | 4 | 8 | 12 | -2 | 13 | 5 | 33 | 47 | 15 | 17 | 8.51% | 4 | 18.30 | 2 | 3 | 5 | 24 | 0 | 0 | 0 | 40 | 1 | 0 | 49.18% | 364 | 13 | 10 | 0 | 0 | 0.82 | 0 | 1 | ||
5 | Logan Couture | 0 | C | 15 | 3 | 8 | 11 | 1 | 4 | 0 | 27 | 51 | 17 | 16 | 5.88% | 5 | 18.25 | 0 | 1 | 1 | 14 | 0 | 0 | 0 | 19 | 0 | 0 | 55.16% | 310 | 12 | 7 | 0 | 0 | 0.80 | 2 | 4 | ||
6 | Victor Olofsson | 0 | LW/RW | 15 | 3 | 6 | 9 | 4 | 0 | 0 | 17 | 27 | 9 | 19 | 11.11% | 6 | 17.14 | 0 | 2 | 2 | 24 | 0 | 0 | 0 | 0 | 1 | 0 | 36.36% | 11 | 10 | 1 | 0 | 0 | 0.70 | 1 | 1 | ||
7 | Alex Ovechkin | 0 | LW | 15 | 6 | 2 | 8 | -7 | 12 | 0 | 41 | 69 | 13 | 24 | 8.70% | 2 | 18.80 | 0 | 1 | 1 | 28 | 0 | 0 | 0 | 1 | 1 | 1 | 35.29% | 17 | 11 | 4 | 0 | 0 | 0.57 | 1 | 3 | ||
8 | Jesperi Kotkaniemi | 0 | C | 13 | 4 | 4 | 8 | 0 | 8 | 0 | 28 | 28 | 7 | 19 | 14.29% | 9 | 12.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 50.55% | 91 | 2 | 4 | 0 | 0 | 0.96 | 0 | 0 | ||
9 | Phil Kessel | 0 | RW | 15 | 4 | 3 | 7 | 2 | 0 | 0 | 14 | 20 | 10 | 16 | 20.00% | 3 | 10.08 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 4 | 2 | 0 | 0 | 0.93 | 0 | 0 | ||
10 | Frank Vatrano | 0 | LW/RW | 15 | 2 | 4 | 6 | 2 | 22 | 10 | 29 | 23 | 3 | 17 | 8.70% | 5 | 16.25 | 1 | 0 | 1 | 27 | 0 | 0 | 0 | 2 | 1 | 0 | 60.00% | 15 | 5 | 3 | 0 | 0 | 0.49 | 0 | 0 | ||
11 | Derick Brassard | 0 | C/LW | 12 | 3 | 3 | 6 | 7 | 2 | 0 | 7 | 16 | 1 | 7 | 18.75% | 2 | 10.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 60.87% | 23 | 3 | 0 | 0 | 0 | 0.94 | 0 | 0 | ||
12 | Brent Burns | 0 | D | 14 | 0 | 6 | 6 | 0 | 8 | 0 | 34 | 22 | 10 | 7 | 0.00% | 16 | 23.22 | 0 | 0 | 0 | 35 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 7 | 9 | 0 | 0 | 0.37 | 0 | 0 | ||
13 | Taylor Raddysh | 0 | RW | 15 | 2 | 4 | 6 | 4 | 0 | 0 | 16 | 27 | 12 | 15 | 7.41% | 7 | 13.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 1 | 0 | 63.64% | 11 | 2 | 1 | 0 | 0 | 0.58 | 0 | 0 | ||
14 | Jake McCabe | 0 | D | 13 | 1 | 5 | 6 | 5 | 12 | 0 | 24 | 11 | 5 | 3 | 9.09% | 21 | 20.70 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 3 | 11 | 0 | 0 | 0.45 | 0 | 0 | ||
15 | Nick Leddy | 0 | D | 15 | 2 | 3 | 5 | 5 | 4 | 0 | 11 | 16 | 2 | 5 | 12.50% | 25 | 20.18 | 1 | 0 | 1 | 25 | 0 | 0 | 0 | 8 | 0 | 2 | 0.00% | 0 | 4 | 9 | 0 | 0 | 0.33 | 0 | 0 | ||
16 | Alec Martinez | 0 | D | 15 | 0 | 3 | 3 | 1 | 16 | 10 | 17 | 16 | 4 | 6 | 0.00% | 16 | 20.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 5 | 8 | 0 | 0 | 0.20 | 0 | 0 | ||
17 | Esa Lindell | 0 | D | 15 | 0 | 3 | 3 | 2 | 19 | 5 | 17 | 20 | 14 | 5 | 0.00% | 25 | 23.70 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 11 | 10 | 0 | 0 | 0.17 | 0 | 0 | ||
18 | Nick Ritchie | 0 | LW | 2 | 2 | 0 | 2 | 3 | 0 | 0 | 3 | 6 | 0 | 3 | 33.33% | 0 | 7.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 1 | 0 | 0 | 2.61 | 0 | 0 | ||
19 | Erik Johnson | 0 | D | 15 | 0 | 1 | 1 | 1 | 2 | 0 | 10 | 11 | 0 | 4 | 0.00% | 14 | 17.22 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 2 | 9 | 0 | 0 | 0.08 | 0 | 0 | ||
Team Total or Average | 266 | 49 | 86 | 135 | 32 | 147 | 45 | 415 | 525 | 169 | 252 | 9.33% | 167 | 17.45 | 6 | 10 | 16 | 323 | 0 | 0 | 0 | 323 | 7 | 3 | 53.00% | 1249 | 120 | 103 | 0 | 0 | 0.58 | 5 | 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 | Vitek Vanecek | 14 | 9 | 1 | 3 | 0.914 | 2.58 | 836 | 0 | 0 | 36 | 417 | 176 | 0 | 0 | 0.750 | 12 | 13 | 2 | 1 | 2 | 0 | |
Team Total or Average | 14 | 9 | 1 | 3 | 0.914 | 2.58 | 836 | 0 | 0 | 36 | 417 | 176 | 0 | 0 | 0.750 | 12 | 13 | 2 | 1 | 2 | 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 |
# | 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 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 61 | 32 | 15 | 14 | 0 | 63 | 26 | 29 | 47 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 44 | 27 | 43 | 17 | 31 | 15 | 50.0% | 9.8% | 90.5% | 100.3 | FUN | |
2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 75 | 27 | 28 | 18 | 2 | 56 | 20 | 10 | 53 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 43 | 25 | 42 | 17 | 35 | 18 | 62.5% | 6.7% | 94.6% | 101.3 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 3 | 7 | 0 | 0 | 0 | 2 | 1 | 2 | 36 | 10 | 15 | 10 | 4 | 34 | 10 | 16 | 29 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 24 | 14 | 21 | 10 | 18 | 8 | 57.1% | 11.1% | 91.2% | 102.3 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 2 | 1 | 81 | 27 | 26 | 26 | 6 | 70 | 30 | 18 | 50 | 1 | 0 | 0.00% | 4 | 4 | 0.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 45 | 29 | 45 | 16 | 33 | 17 | 58.3% | 8.6% | 87.1% | 95.8 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 31 | 9 | 13 | 9 | 0 | 28 | 11 | 4 | 27 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 22 | 14 | 22 | 8 | 15 | 7 | 55.6% | 19.4% | 82.1% | 101.5 | FUN | |
6 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 0 | 66 | 24 | 15 | 23 | 4 | 63 | 21 | 23 | 49 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 42 | 25 | 45 | 18 | 34 | 16 | 46.2% | 10.6% | 85.7% | 96.3 | FUN | |
7 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 4 | 0 | 0 | 51 | 15 | 24 | 12 | 0 | 57 | 15 | 16 | 63 | 7 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 45 | 25 | 41 | 18 | 35 | 17 | 62.5% | 9.8% | 91.2% | 101.0 | LUCKY | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 2 | 35 | 11 | 13 | 10 | 4 | 40 | 14 | 21 | 23 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 23 | 15 | 24 | 8 | 16 | 7 | 50.0% | 5.7% | 97.5% | 103.2 | DULL | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 0 | 3 | 3 | 0 | 57 | 22 | 18 | 17 | 2 | 59 | 19 | 12 | 58 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 44 | 25 | 45 | 17 | 35 | 17 | 60.0% | 10.5% | 93.2% | 103.7 | LUCKY | |
_Vs Division | 10 | 4 | 1 | 0 | 0 | 3 | 1 | 1 | 34 | 32 | 2 | 14 | 0.700 | 34 | 53 | 87 | 0 | 0 | 7 | 14 | 12 | 2 | 302 | 112 | 100 | 85 | 10 | 304 | 102 | 100 | 273 | 25 | 3 | 12.00% | 35 | 6 | 82.86% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 224 | 134 | 220 | 90 | 170 | 84 | 54.4% | 11.3% | 89.5% | 100.7 | FUN | |
_Vs Conference | 12 | 4 | 2 | 0 | 0 | 3 | 2 | 1 | 41 | 41 | 0 | 16 | 0.667 | 41 | 64 | 105 | 0 | 0 | 8 | 17 | 14 | 3 | 383 | 139 | 126 | 111 | 16 | 374 | 132 | 118 | 323 | 26 | 3 | 11.54% | 39 | 10 | 74.36% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 269 | 163 | 265 | 106 | 204 | 101 | 55.1% | 10.7% | 89.0% | 99.7 | FUN | |
_Since Last GM Reset | 15 | 5 | 2 | 0 | 1 | 3 | 3 | 1 | 48 | 45 | 3 | 22 | 0.733 | 48 | 73 | 121 | 0 | 0 | 11 | 18 | 15 | 6 | 493 | 177 | 167 | 139 | 22 | 470 | 166 | 149 | 399 | 32 | 4 | 12.50% | 47 | 10 | 78.72% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 335 | 203 | 332 | 132 | 256 | 127 | 55.7% | 9.7% | 90.4% | 100.2 | FUN | |
Total | 15 | 5 | 2 | 0 | 1 | 3 | 3 | 1 | 48 | 45 | 3 | 22 | 0.733 | 48 | 73 | 121 | 0 | 0 | 11 | 18 | 15 | 6 | 493 | 177 | 167 | 139 | 22 | 470 | 166 | 149 | 399 | 32 | 4 | 12.50% | 47 | 10 | 78.72% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 335 | 203 | 332 | 132 | 256 | 127 | 55.7% | 9.7% | 90.4% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 329 |
Neutral Zone Start | 202 |
Defensive Zone Start | 367 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 502 |
Faceoffs Lost | 396 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.8 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 32.2 | 30.68 |
Overtime | 33.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 44 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 4 |
Lost | 0 | 2 |
Overtime Lost | 2 | 2 |
PP Attempt | 32 |
---|---|
PP Goal | 4 |
PK Attempt | 47 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 31.3 |
Goals For | 3.2 |
Goals Against | 3.0 |
Hits | 26.6 |
Shots Blocked | 11.1 |
Pim | 9.9 |
Projected Total Cap Hit | 84,746,000$ |
Projected Cap Space | 254,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 15,723,825$ |
Players In Salary Cap | 22 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez | D | 36 | 5,250,000$ | 5,250,000$ | UFA | ||||||
Alex Ovechkin | LW | 38 | 9,500,000$ | 9,500,000$ | UFA | ||||||
Brent Burns | D | 38 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Casey Mittelstadt ![]() | C/LW | 25 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Derick Brassard | C/LW | 36 | 750,000$ | 750,000$ | UFA | ||||||
Erik Johnson | D | 35 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Esa Lindell | D | 29 | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||||
Frank Vatrano | LW/RW | 29 | 3,000,000$ | 3,000,000$ | |||||||
Jake McCabe | D | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Jesperi Kotkaniemi ![]() | C | 23 | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | 4,820,000$ | |
Laurent Brossoit | G | 30 | 1,800,000$ | 1,800,000$ | UFA | ||||||
Logan Couture | C | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Nick Leddy ![]() | D | 32 | 750,000$ | 750,000$ | UFA | ||||||
Nick Ritchie | LW | 27 | 750,000$ | 750,000$ | |||||||
Phil Kessel | RW | 36 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Scott Laughton ![]() | C/LW | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Steven Stamkos | C/LW | 33 | 8,500,000$ | 8,500,000$ | UFA | ||||||
Taylor Raddysh ![]() | RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Tomas Hertl | C | 30 | 8,176,000$ | 8,176,000$ | 8,176,000$ | 8,176,000$ | 8,176,000$ | 8,176,000$ | UFA | ||
Victor Olofsson ![]() | LW/RW | 28 | 4,750,000$ | 4,750,000$ | |||||||
Vitek Vanecek ![]() | G | 27 | 3,400,000$ | 3,400,000$ | 3,400,000$ |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Danny DeKeyser ![]() | D | 33 | 0$ | 750,000$ | UFA | ||||||
Kyle Burroughs ![]() | D | 28 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Magnus Hellberg ![]() | G | 32 | 750,000$ | 750,000$ | UFA |
Forward Lines | |||||||
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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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 61 | 32 | 15 | 14 | 0 | 63 | 26 | 29 | 47 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 44 | 27 | 43 | 17 | 31 | 15 | 50.0% | 9.8% | 90.5% | 100.3 | FUN | |
2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 75 | 27 | 28 | 18 | 2 | 56 | 20 | 10 | 53 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 43 | 25 | 42 | 17 | 35 | 18 | 62.5% | 6.7% | 94.6% | 101.3 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 3 | 7 | 0 | 0 | 0 | 2 | 1 | 2 | 36 | 10 | 15 | 10 | 4 | 34 | 10 | 16 | 29 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 24 | 14 | 21 | 10 | 18 | 8 | 57.1% | 11.1% | 91.2% | 102.3 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 2 | 1 | 81 | 27 | 26 | 26 | 6 | 70 | 30 | 18 | 50 | 1 | 0 | 0.00% | 4 | 4 | 0.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 45 | 29 | 45 | 16 | 33 | 17 | 58.3% | 8.6% | 87.1% | 95.8 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 31 | 9 | 13 | 9 | 0 | 28 | 11 | 4 | 27 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 22 | 14 | 22 | 8 | 15 | 7 | 55.6% | 19.4% | 82.1% | 101.5 | FUN | |
6 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 0 | 66 | 24 | 15 | 23 | 4 | 63 | 21 | 23 | 49 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 42 | 25 | 45 | 18 | 34 | 16 | 46.2% | 10.6% | 85.7% | 96.3 | FUN | |
7 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 4 | 0 | 0 | 51 | 15 | 24 | 12 | 0 | 57 | 15 | 16 | 63 | 7 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 45 | 25 | 41 | 18 | 35 | 17 | 62.5% | 9.8% | 91.2% | 101.0 | LUCKY | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 2 | 35 | 11 | 13 | 10 | 4 | 40 | 14 | 21 | 23 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 23 | 15 | 24 | 8 | 16 | 7 | 50.0% | 5.7% | 97.5% | 103.2 | DULL | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 0 | 3 | 3 | 0 | 57 | 22 | 18 | 17 | 2 | 59 | 19 | 12 | 58 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 44 | 25 | 45 | 17 | 35 | 17 | 60.0% | 10.5% | 93.2% | 103.7 | LUCKY | |
_Vs Division | 10 | 4 | 1 | 0 | 0 | 3 | 1 | 1 | 34 | 32 | 2 | 14 | 0.700 | 34 | 53 | 87 | 0 | 0 | 7 | 14 | 12 | 2 | 302 | 112 | 100 | 85 | 10 | 304 | 102 | 100 | 273 | 25 | 3 | 12.00% | 35 | 6 | 82.86% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 224 | 134 | 220 | 90 | 170 | 84 | 54.4% | 11.3% | 89.5% | 100.7 | FUN | |
_Vs Conference | 12 | 4 | 2 | 0 | 0 | 3 | 2 | 1 | 41 | 41 | 0 | 16 | 0.667 | 41 | 64 | 105 | 0 | 0 | 8 | 17 | 14 | 3 | 383 | 139 | 126 | 111 | 16 | 374 | 132 | 118 | 323 | 26 | 3 | 11.54% | 39 | 10 | 74.36% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 269 | 163 | 265 | 106 | 204 | 101 | 55.1% | 10.7% | 89.0% | 99.7 | FUN | |
_Since Last GM Reset | 15 | 5 | 2 | 0 | 1 | 3 | 3 | 1 | 48 | 45 | 3 | 22 | 0.733 | 48 | 73 | 121 | 0 | 0 | 11 | 18 | 15 | 6 | 493 | 177 | 167 | 139 | 22 | 470 | 166 | 149 | 399 | 32 | 4 | 12.50% | 47 | 10 | 78.72% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 335 | 203 | 332 | 132 | 256 | 127 | 55.7% | 9.7% | 90.4% | 100.2 | FUN | |
Total | 15 | 5 | 2 | 0 | 1 | 3 | 3 | 1 | 48 | 45 | 3 | 22 | 0.733 | 48 | 73 | 121 | 0 | 0 | 11 | 18 | 15 | 6 | 493 | 177 | 167 | 139 | 22 | 470 | 166 | 149 | 399 | 32 | 4 | 12.50% | 47 | 10 | 78.72% | 0 | 187 | 329 | 56.84% | 205 | 367 | 55.86% | 110 | 202 | 54.46% | 335 | 203 | 332 | 132 | 256 | 127 | 55.7% | 9.7% | 90.4% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 329 |
Neutral Zone Start | 202 |
Defensive Zone Start | 367 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 502 |
Faceoffs Lost | 396 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.8 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 32.2 | 30.68 |
Overtime | 33.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 44 |
---|---|
PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 4 |
Lost | 0 | 2 |
Overtime Lost | 2 | 2 |
PP Attempt | 32 |
---|---|
PP Goal | 4 |
PK Attempt | 47 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 31.3 |
Goals For | 3.2 |
Goals Against | 3.0 |
Hits | 26.6 |
Shots Blocked | 11.1 |
Pim | 9.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-07 | VS | VGS2,BOS1 (SO) | RECAP | |||||||||||
2023-10-10 | VS | TOR1,VGS2 (OT) | RECAP | |||||||||||
2023-10-14 | VS | VGS5,LAK6 (OT) | RECAP | |||||||||||
2023-10-17 | VS | LAK3,VGS2 (OT) | RECAP | |||||||||||
2023-10-19 | VS | VGS3,DAL6 | RECAP | |||||||||||
2023-10-21 | VS | ANA3,VGS4 | RECAP | |||||||||||
2023-10-26 | VS | SJS2,VGS1 (SO) | RECAP | |||||||||||
2023-10-28 | VS | VGS4,DAL3 (SO) | RECAP | |||||||||||
2023-11-01 | VS | TOR2,VGS3 | RECAP | |||||||||||
2023-11-03 | VS | VGS5,SJS2 | RECAP | |||||||||||
2023-11-07 | VS | VGS2,ANA3 | RECAP | |||||||||||
2023-11-11 | VS | CGY5,VGS6 | RECAP | |||||||||||
2023-11-14 | VS | VGS1,EDM2 (OT) | RECAP | |||||||||||
2023-11-17 | VS | EDM3,VGS4 | RECAP | |||||||||||
2023-11-20 | VS | VGS4,VAN3 (SO) | RECAP | |||||||||||
2023-11-22 | VS | |||||||||||||
2023-11-27 | VS | |||||||||||||
2023-12-02 | VS | |||||||||||||
2023-12-04 | VS | |||||||||||||
2023-12-06 | VS | |||||||||||||
2023-12-09 | VS | |||||||||||||
2023-12-11 | VS | |||||||||||||
2023-12-13 | VS | |||||||||||||
2023-12-19 | VS | |||||||||||||
2023-12-21 | VS | |||||||||||||
2023-12-23 | VS | |||||||||||||
2023-12-24 | VS | |||||||||||||
2023-12-27 | VS | |||||||||||||
2023-12-29 | VS | |||||||||||||
2023-12-31 | VS | |||||||||||||
2024-01-03 | VS | |||||||||||||
2024-01-06 | VS | |||||||||||||
2024-01-08 | VS | |||||||||||||
2024-01-10 | VS | |||||||||||||
2024-01-12 | VS | |||||||||||||
2024-01-14 | VS | |||||||||||||
2024-01-17 | VS | |||||||||||||
2024-01-19 | VS | |||||||||||||
2024-01-22 | VS | |||||||||||||
2024-01-24 | VS | |||||||||||||
2024-01-28 | VS | |||||||||||||
2024-02-01 | VS | |||||||||||||
2024-02-06 | VS | |||||||||||||
2024-02-13 | VS | |||||||||||||
2024-02-14 | VS | |||||||||||||
2024-02-16 | VS | |||||||||||||
2024-02-20 | VS | |||||||||||||
2024-02-22 | VS | |||||||||||||
2024-02-27 | VS | |||||||||||||
2024-02-28 | VS | |||||||||||||
2024-03-02 | VS | |||||||||||||
2024-03-05 | VS | |||||||||||||
2024-03-08 | VS | |||||||||||||
2024-03-10 | VS | |||||||||||||
2024-03-14 | VS | |||||||||||||
2024-03-15 | VS | |||||||||||||
2024-03-19 | VS | |||||||||||||
2024-03-20 | VS | |||||||||||||
2024-03-23 | VS | |||||||||||||
2024-03-27 | VS | |||||||||||||
2024-03-31 | VS | |||||||||||||
2024-04-02 | VS | |||||||||||||
2024-04-07 | VS | |||||||||||||
2024-04-10 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-12 | VS | |||||||||||||
2024-04-14 | VS | |||||||||||||
2024-04-16 | VS | |||||||||||||
2024-04-19 | VS | |||||||||||||
2024-04-21 | VS | |||||||||||||
2024-04-23 | VS | |||||||||||||
2024-04-24 | VS | |||||||||||||
2024-04-27 | VS | |||||||||||||
2024-05-01 | VS | |||||||||||||
2024-05-02 | VS | |||||||||||||
2024-05-06 | VS | |||||||||||||
2024-05-07 | VS | |||||||||||||
2024-05-10 | VS | |||||||||||||
2024-05-13 | VS | |||||||||||||
2024-05-20 | VS | |||||||||||||
2024-05-22 | VS | |||||||||||||
2024-05-29 | VS | |||||||||||||
2024-05-31 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,496,000$ | 0$ | 84,746,000$ | 254,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Grosse Plote | |
City | Las Vegas | ||
Capacity | 18000 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 35037 | 29940 | 13791 | 23202 | 7000 |
Attendance PCT | 83.42% | 85.54% | 98.51% | 82.86% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 15567 - 86.48% | 1,958,580$ | 13,710,063$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,496,000$ | 85,496,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
16,292,285$ | 84,746,000$ | 15,723,825$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
66,591,735$ | 195 | 356,830$ | 69,581,850$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
70,104,624$ | 84,746,000$ | 8,992,326$ | 12,450,448$ |
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 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Akil Thomas | |||||
Albert Johansson | |||||
Landon Slaggert | |||||
Luke Mittlestatd | |||||
Luke Tuch | |||||
Quinton Burns | |||||
Ryker Evans | |||||
Tyler Brennan |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Akil Thomas | |||||
Albert Johansson | |||||
Landon Slaggert | |||||
Luke Mittlestatd | |||||
Luke Tuch | |||||
Quinton Burns | |||||
Ryker Evans | |||||
Tyler Brennan |
|