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New York Islanders 8-6-1, 17pts · 6th in Eastern 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 | C | 100.00 | 58 | 35 | 82 | 64 | 76 | 78 | 73 | 66 | 79 | 63 | 61 | 62 | 66 | 82 | 73 | 58 | 83 | 0 | 34 | 1,200,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 50 | 71 | 89 | 75 | 87 | 83 | 93 | 50 | 80 | 92 | 69 | 91 | 65 | 55 | 1 | 81 | 0 | 28 | 4,166,666$/3yrs | |||
![]() | 0 | LW | 100.00 | 73 | 51 | 70 | 95 | 76 | 88 | 83 | 89 | 50 | 81 | 85 | 87 | 90 | 65 | 55 | 1 | 82 | 0 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 55 | 72 | 86 | 81 | 90 | 92 | 90 | 73 | 78 | 92 | 70 | 89 | 87 | 83 | 1 | 83 | 0 | 30 | 6,125,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 72 | 50 | 74 | 86 | 73 | 89 | 90 | 95 | 40 | 97 | 85 | 67 | 89 | 85 | 75 | 1 | 81 | 0 | 30 | 9,500,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 45 | 71 | 70 | 64 | 63 | 64 | 63 | 58 | 61 | 57 | 60 | 63 | 50 | 50 | 1 | 77 | 0 | 22 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 61 | 70 | 83 | 75 | 81 | 78 | 75 | 69 | 72 | 66 | 78 | 75 | 58 | 50 | 1 | 81 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 60 | 73 | 75 | 76 | 81 | 89 | 79 | 74 | 76 | 69 | 71 | 74 | 83 | 73 | 1 | 84 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 72 | 50 | 75 | 73 | 86 | 84 | 86 | 76 | 53 | 76 | 70 | 71 | 73 | 80 | 70 | 1 | 82 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 45 | 87 | 87 | 80 | 88 | 84 | 87 | 50 | 78 | 83 | 75 | 86 | 75 | 65 | 1 | 81 | 0 | 27 | 3,700,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 66 | 50 | 71 | 94 | 74 | 91 | 87 | 93 | 50 | 86 | 90 | 72 | 92 | 78 | 74 | 1 | 82 | 0 | 25 | 7,150,000$/5yrs | |||
![]() | 0 | D | 100.00 | 68 | 45 | 71 | 67 | 68 | 62 | 62 | 62 | 40 | 61 | 52 | 68 | 60 | 50 | 50 | 1 | 80 | 0 | 22 | 750,000$/1yrs | |||
![]() | 63 | D | 100.00 | 75 | 55 | 74 | 80 | 76 | 83 | 80 | 77 | 40 | 68 | 69 | 81 | 75 | 60 | 53 | 1 | 81 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 45 | 79 | 72 | 86 | 82 | 76 | 68 | 40 | 61 | 60 | 69 | 67 | 75 | 65 | 1 | 82 | 0 | 27 | 762,500$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 50 | 73 | 84 | 77 | 85 | 85 | 76 | 40 | 75 | 63 | 79 | 74 | 70 | 60 | 1 | 86 | 0 | 24 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 40 | 70 | 69 | 64 | 60 | 58 | 56 | 40 | 51 | 52 | 67 | 59 | 52 | 50 | 1 | 84 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 40 | 73 | 71 | 61 | 67 | 68 | 66 | 40 | 65 | 56 | 70 | 64 | 58 | 50 | 1 | 82 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 50 | 67 | 68 | 65 | 65 | 65 | 61 | 40 | 61 | 54 | 68 | 61 | 54 | 50 | 1 | 82 | 0 | 26 | 750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 50 | 73 | 75 | 80 | 87 | 85 | 77 | 40 | 72 | 66 | 76 | 73 | 70 | 60 | 1 | 81 | 0 | 26 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 83.53 | 69 | 55 | 94 | 93 | 73 | 88 | 87 | 93 | 76 | 84 | 95 | 72 | 94 | 78 | 68 | 1 | 67 | 0 | 27 | 9,500,000$/6yrs | |||
![]() | 0 | LW | 100.00 | 78 | 63 | 65 | 75 | 79 | 83 | 88 | 83 | 40 | 74 | 73 | 68 | 77 | 80 | 70 | 1 | 69 | 0 | 28 | 1,000,000$/3yrs | |||
![]() | 0 | D | 95.21 | 71 | 50 | 73 | 83 | 84 | 90 | 88 | 88 | 40 | 77 | 82 | 81 | 84 | 80 | 70 | 1 | 73 | 0 | 29 | 5,250,000$/1yrs | |||
TEAM AVERAGE | 98.95 | 70 | 50 | 74 | 79 | 75 | 81 | 80 | 78 | 51 | 73 | 71 | 72 | 76 | 70 | 62 | 4 | 80 | 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 | 80 | 92 | 93 | 74 | 91 | 87 | 85 | 85 | 86 | 88 | 85 | 88 | 81 | 1 | 75 | 0 | 35 | 9,250,000$/3yrs |
![]() | 0 | 99.00 | 88 | 87 | 89 | 90 | 91 | 91 | 90 | 92 | 91 | 89 | 83 | 65 | 58 | 1 | 81 | 0 | 26 | 3,550,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 87 | 87 | 88 | 88 | 92 | 91 | 88 | 90 | 90 | 89 | 87 | 60 | 53 | 1 | 75 | 0 | 25 | 2,600,000$/3yrs |
TEAM AVERAGE | 99.67 | 85 | 89 | 90 | 84 | 91 | 90 | 88 | 89 | 89 | 89 | 85 | 71 | 64 | 1 | 77 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Brad Larsen | 86 | 75 | 75 | 87 | 62 | 60 | 1 | CAN | 45 | 3 | 1,000,000$ |
General Manager | Zack Beaudoin |
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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 | Clayton Keller | 0 | LW/RW | 15 | 4 | 12 | 16 | 2 | 13 | 5 | 28 | 52 | 15 | 34 | 7.69% | 3 | 19.13 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 12 | 1 | 1 | 21.05% | 19 | 12 | 5 | 0 | 0 | 1.12 | 0 | 1 | ||
2 | Nikita Kucherov | 0 | RW | 15 | 5 | 10 | 15 | 0 | 8 | 0 | 30 | 41 | 14 | 30 | 12.20% | 5 | 20.25 | 2 | 0 | 2 | 28 | 0 | 0 | 0 | 18 | 1 | 0 | 43.48% | 23 | 9 | 1 | 0 | 0 | 0.99 | 1 | 1 | ||
3 | Brayden Point | 0 | C/RW | 15 | 8 | 5 | 13 | -2 | 5 | 5 | 25 | 43 | 18 | 35 | 18.60% | 8 | 24.25 | 0 | 2 | 2 | 28 | 0 | 0 | 0 | 24 | 1 | 2 | 49.10% | 446 | 13 | 7 | 1 | 1 | 0.71 | 1 | 1 | ||
4 | Carter Verhaeghe | 0 | LW | 15 | 5 | 7 | 12 | 0 | 5 | 5 | 25 | 50 | 19 | 28 | 10.00% | 4 | 17.98 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 7 | 0 | 1 | 33.33% | 3 | 13 | 6 | 0 | 0 | 0.89 | 0 | 0 | ||
5 | Brandon Hagel | 0 | LW | 15 | 4 | 5 | 9 | 1 | 4 | 0 | 25 | 47 | 15 | 25 | 8.51% | 5 | 14.84 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 44.44% | 9 | 11 | 4 | 0 | 0 | 0.81 | 0 | 0 | ||
6 | Nick Cousins | 0 | C/LW | 15 | 1 | 7 | 8 | 1 | 17 | 5 | 5 | 17 | 2 | 9 | 5.88% | 2 | 8.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 55.93% | 59 | 3 | 3 | 0 | 0 | 1.28 | 0 | 0 | ||
7 | Oskar Sundqvist | 0 | C/RW | 15 | 5 | 3 | 8 | 2 | 7 | 5 | 20 | 23 | 2 | 16 | 21.74% | 6 | 12.89 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 20.00% | 10 | 3 | 5 | 0 | 0 | 0.83 | 0 | 0 | ||
8 | Jalen Chatfield | 63 | D | 15 | 0 | 5 | 5 | 1 | 7 | 5 | 20 | 11 | 5 | 2 | 0.00% | 20 | 20.18 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 4 | 8 | 0 | 0 | 0.33 | 0 | 0 | ||
9 | Mark Scheifele | 0 | C | 15 | 2 | 3 | 5 | -1 | 2 | 0 | 32 | 31 | 9 | 29 | 6.45% | 8 | 18.81 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 10 | 0 | 0 | 49.43% | 176 | 6 | 5 | 0 | 0 | 0.35 | 0 | 0 | ||
10 | Connor Dewar | 0 | C/LW | 15 | 3 | 2 | 5 | -1 | 10 | 10 | 17 | 22 | 6 | 13 | 13.64% | 6 | 12.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 49.41% | 85 | 3 | 7 | 0 | 0 | 0.52 | 0 | 0 | ||
11 | Jake DeBrusk | 0 | LW/RW | 15 | 2 | 2 | 4 | -3 | 2 | 0 | 24 | 42 | 13 | 19 | 4.76% | 5 | 18.36 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 41.18% | 17 | 8 | 4 | 0 | 0 | 0.29 | 0 | 0 | ||
12 | Brady Skjei | 0 | D | 12 | 0 | 3 | 3 | 4 | 2 | 0 | 17 | 10 | 7 | 15 | 0.00% | 16 | 23.72 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 8 | 7 | 0 | 0 | 0.21 | 0 | 0 | ||
13 | Caleb Jones | 0 | D | 15 | 1 | 2 | 3 | 2 | 6 | 0 | 19 | 11 | 7 | 5 | 9.09% | 8 | 19.34 | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 18 | 1 | 0 | 0.00% | 0 | 2 | 13 | 0 | 0 | 0.21 | 0 | 0 | ||
14 | Will Butcher | 0 | D | 15 | 1 | 1 | 2 | -6 | 4 | 0 | 3 | 5 | 0 | 1 | 20.00% | 8 | 10.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 2 | 0 | 0 | 0.24 | 0 | 0 | ||
15 | Alex Vlasic | 0 | D | 10 | 0 | 1 | 1 | -1 | 2 | 0 | 6 | 1 | 0 | 1 | 0.00% | 5 | 8.30 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.24 | 0 | 0 | ||
16 | Haydn Fleury | 0 | D | 15 | 0 | 1 | 1 | -5 | 2 | 0 | 6 | 2 | 3 | 3 | 0.00% | 8 | 14.02 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.10 | 0 | 0 | ||
17 | Erik Brannstrom | 0 | D | 15 | 0 | 1 | 1 | 1 | 7 | 5 | 23 | 12 | 6 | 5 | 0.00% | 16 | 21.41 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 2 | 10 | 0 | 0 | 0.06 | 0 | 1 | ||
18 | Josh Brook | 0 | D | 8 | 0 | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 7.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.33 | 0 | 0 | ||
19 | Noah Juulsen | 0 | D | 15 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 5 | 6.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.22 | 0 | 0 | ||
20 | Kyle Turris | 0 | C | 15 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 3.83 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 60.00% | 15 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Cole Schwindt | 0 | C/RW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 0 | 0 | 0 | 0.00% | 1 | 6.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Miles Wood | 0 | LW | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 2 | 7 | 0.00% | 3 | 5.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 298 | 41 | 72 | 113 | -9 | 105 | 45 | 337 | 429 | 143 | 277 | 9.56% | 143 | 14.95 | 2 | 3 | 5 | 262 | 0 | 0 | 0 | 178 | 8 | 4 | 48.44% | 865 | 99 | 105 | 1 | 1 | 0.51 | 2 | 4 |
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 Samsonov | 13 | 6 | 6 | 1 | 0.889 | 3.33 | 758 | 2 | 0 | 42 | 378 | 171 | 0 | 0 | 0.000 | 3 | 13 | 2 | 0 | 1 | 0 | |
2 | Sergei Bobrovsky | 2 | 2 | 0 | 0 | 0.983 | 0.50 | 120 | 0 | 1 | 1 | 60 | 30 | 0 | 0 | 0.000 | 0 | 2 | 3 | 2 | 0 | 0 | |
3 | Stuart Skinner | 1 | 0 | 0 | 0 | 0.917 | 2.40 | 25 | 0 | 0 | 1 | 12 | 6 | 0 | 0 | 0.000 | 0 | 0 | 10 | 0 | 0 | 0 | |
Team Total or Average | 16 | 8 | 6 | 1 | 0.902 | 2.92 | 904 | 2 | 1 | 44 | 450 | 207 | 0 | 0 | 0.000 | 3 | 15 | 15 | 2 | 1 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 28 | 4 | 7 | 17 | 0 | 35 | 7 | 30 | 26 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 21 | 12 | 21 | 9 | 17 | 8 | 25.0% | 3.6% | 91.4% | 95.0 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 54 | 11 | 24 | 19 | 0 | 52 | 21 | 13 | 41 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 42 | 25 | 43 | 17 | 33 | 17 | 36.4% | 9.3% | 86.5% | 95.8 | FUN | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 3 | 3 | 0 | 49 | 11 | 15 | 23 | 0 | 61 | 18 | 6 | 48 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 38 | 21 | 44 | 18 | 36 | 18 | 66.7% | 16.3% | 93.4% | 109.8 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 23 | 9 | 10 | 4 | 0 | 28 | 6 | 4 | 18 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 22 | 13 | 21 | 8 | 16 | 8 | 75.0% | 13.0% | 92.9% | 105.9 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 4 | 6 | 12 | 0 | 31 | 9 | 21 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 21 | 12 | 21 | 8 | 17 | 9 | 16.7% | 4.5% | 80.6% | 85.2 | Unlucky | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 2 | 26 | 11 | 5 | 9 | 4 | 33 | 13 | 6 | 22 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 20 | 12 | 25 | 9 | 18 | 9 | 50.0% | 19.2% | 81.8% | 101.0 | FUN | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 5 | 1 | 1 | 0 | 100 | 31 | 36 | 33 | 0 | 80 | 30 | 10 | 77 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 66 | 41 | 64 | 25 | 49 | 24 | 40.0% | 7.0% | 88.8% | 95.8 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 11 | 14 | 10 | 0 | 30 | 13 | 10 | 27 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 24 | 14 | 18 | 7 | 16 | 8 | 20.0% | 2.9% | 86.7% | 89.5 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 33 | 6 | 12 | 15 | 0 | 40 | 14 | 5 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 20 | 12 | 23 | 8 | 16 | 7 | 62.5% | 15.2% | 92.5% | 107.7 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 36 | 14 | 13 | 9 | 0 | 35 | 5 | 2 | 24 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 24 | 15 | 19 | 8 | 16 | 7 | 75.0% | 8.3% | 97.1% | 105.5 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 | 23 | 4 | 9 | 10 | 0 | 25 | 7 | 0 | 13 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 22 | 14 | 20 | 7 | 16 | 8 | 100.0% | 8.7% | 100.0% | 108.7 | DULL | |
_Vs Division | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 25 | 22 | 3 | 12 | 0.667 | 25 | 42 | 67 | 0 | 1 | 10 | 7 | 8 | 0 | 249 | 66 | 94 | 89 | 0 | 246 | 82 | 33 | 197 | 16 | 2 | 12.50% | 10 | 1 | 90.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 193 | 116 | 194 | 76 | 151 | 78 | 52.3% | 10.0% | 91.1% | 101.1 | Unlucky | |
_Vs Conference | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 34 | 30 | 4 | 16 | 0.667 | 34 | 58 | 92 | 0 | 1 | 13 | 11 | 10 | 0 | 353 | 97 | 133 | 123 | 0 | 351 | 114 | 50 | 268 | 22 | 2 | 9.09% | 16 | 1 | 93.75% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 262 | 159 | 255 | 100 | 201 | 102 | 52.5% | 9.6% | 91.5% | 101.1 | LUCKY | |
_Since Last GM Reset | 15 | 8 | 6 | 0 | 0 | 0 | 0 | 1 | 41 | 45 | -4 | 17 | 0.567 | 41 | 72 | 113 | 0 | 1 | 16 | 11 | 14 | 2 | 429 | 116 | 151 | 161 | 4 | 450 | 143 | 107 | 338 | 28 | 2 | 7.14% | 27 | 3 | 88.89% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 326 | 197 | 324 | 128 | 254 | 129 | 48.1% | 9.6% | 90.0% | 99.6 | FUN | |
Total | 15 | 8 | 6 | 0 | 0 | 0 | 0 | 1 | 41 | 45 | -4 | 17 | 0.567 | 41 | 72 | 113 | 0 | 1 | 16 | 11 | 14 | 2 | 429 | 116 | 151 | 161 | 4 | 450 | 143 | 107 | 338 | 28 | 2 | 7.14% | 27 | 3 | 88.89% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 326 | 197 | 324 | 128 | 254 | 129 | 48.1% | 9.6% | 90.0% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 343 |
Neutral Zone Start | 214 |
Defensive Zone Start | 305 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 419 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.7 | 9.57 |
2nd Period | 17.8 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 3 |
Lost | 3 | 3 |
Overtime Lost | 0 | 1 |
PP Attempt | 28 |
---|---|
PP Goal | 2 |
PK Attempt | 27 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 28.6 |
Shots Against | 30.0 |
Goals For | 2.7 |
Goals Against | 3.0 |
Hits | 22.5 |
Shots Blocked | 9.5 |
Pim | 7.1 |
Projected Total Cap Hit | 74,754,166$ |
Projected Cap Space | 10,245,834$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 14,038,182$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Vlasic ![]() | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Brady Skjei | D | 29 | 5,250,000$ | 5,250,000$ | |||||||
Brandon Hagel ![]() | LW | 25 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Brayden Point | C/RW | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Caleb Jones ![]() | D | 26 | 750,000$ | 750,000$ | RFA | ||||||
Carter Verhaeghe ![]() | LW | 28 | 4,166,666$ | 4,166,666$ | 4,166,666$ | 4,166,666$ | |||||
Clayton Keller | LW/RW | 25 | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | |||
Cole Schwindt ![]() | C/RW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Connor Dewar ![]() | C/LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Erik Brannstrom ![]() | D | 24 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Haydn Fleury ![]() | D | 27 | 762,500$ | 762,500$ | RFA | ||||||
Ilya Samsonov ![]() | G | 26 | 3,550,000$ | 3,550,000$ | RFA | ||||||
Jake DeBrusk ![]() | LW/RW | 27 | 3,700,000$ | 3,700,000$ | RFA | ||||||
Jalen Chatfield ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Josh Brook ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Kyle Turris ![]() | C | 34 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Mark Scheifele | C | 30 | 6,125,000$ | 6,125,000$ | UFA | ||||||
Miles Wood | LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Nick Cousins ![]() | C/LW | 30 | 750,000$ | 750,000$ | |||||||
Nikita Kucherov | RW | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Noah Juulsen ![]() | D | 26 | 750,000$ | 750,000$ | 750,000$ | ||||||
Oskar Sundqvist ![]() | C/RW | 29 | 750,000$ | 750,000$ | |||||||
Sergei Bobrovsky | G | 35 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | UFA | ||||
Stuart Skinner ![]() | G | 25 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | RFA | ||||
Will Butcher ![]() | D | 28 | 750,000$ | 750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anttoni Honka ![]() | D | 23 | 836,667$ | 836,667$ | 836,667$ | 836,667$ | RFA | ||||
Ben Meyers ![]() | C/LW | 25 | 912,500$ | 912,500$ | 912,500$ | RFA | |||||
Oskar Olausson ![]() | RW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 28 | 4 | 7 | 17 | 0 | 35 | 7 | 30 | 26 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 21 | 12 | 21 | 9 | 17 | 8 | 25.0% | 3.6% | 91.4% | 95.0 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 54 | 11 | 24 | 19 | 0 | 52 | 21 | 13 | 41 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 42 | 25 | 43 | 17 | 33 | 17 | 36.4% | 9.3% | 86.5% | 95.8 | FUN | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 3 | 3 | 0 | 49 | 11 | 15 | 23 | 0 | 61 | 18 | 6 | 48 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 38 | 21 | 44 | 18 | 36 | 18 | 66.7% | 16.3% | 93.4% | 109.8 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 23 | 9 | 10 | 4 | 0 | 28 | 6 | 4 | 18 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 22 | 13 | 21 | 8 | 16 | 8 | 75.0% | 13.0% | 92.9% | 105.9 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 4 | 6 | 12 | 0 | 31 | 9 | 21 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 21 | 12 | 21 | 8 | 17 | 9 | 16.7% | 4.5% | 80.6% | 85.2 | Unlucky | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 2 | 26 | 11 | 5 | 9 | 4 | 33 | 13 | 6 | 22 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 20 | 12 | 25 | 9 | 18 | 9 | 50.0% | 19.2% | 81.8% | 101.0 | FUN | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 5 | 1 | 1 | 0 | 100 | 31 | 36 | 33 | 0 | 80 | 30 | 10 | 77 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 66 | 41 | 64 | 25 | 49 | 24 | 40.0% | 7.0% | 88.8% | 95.8 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 11 | 14 | 10 | 0 | 30 | 13 | 10 | 27 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 24 | 14 | 18 | 7 | 16 | 8 | 20.0% | 2.9% | 86.7% | 89.5 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 33 | 6 | 12 | 15 | 0 | 40 | 14 | 5 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 20 | 12 | 23 | 8 | 16 | 7 | 62.5% | 15.2% | 92.5% | 107.7 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 36 | 14 | 13 | 9 | 0 | 35 | 5 | 2 | 24 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 24 | 15 | 19 | 8 | 16 | 7 | 75.0% | 8.3% | 97.1% | 105.5 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 | 23 | 4 | 9 | 10 | 0 | 25 | 7 | 0 | 13 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 22 | 14 | 20 | 7 | 16 | 8 | 100.0% | 8.7% | 100.0% | 108.7 | DULL | |
_Vs Division | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 25 | 22 | 3 | 12 | 0.667 | 25 | 42 | 67 | 0 | 1 | 10 | 7 | 8 | 0 | 249 | 66 | 94 | 89 | 0 | 246 | 82 | 33 | 197 | 16 | 2 | 12.50% | 10 | 1 | 90.00% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 193 | 116 | 194 | 76 | 151 | 78 | 52.3% | 10.0% | 91.1% | 101.1 | Unlucky | |
_Vs Conference | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 34 | 30 | 4 | 16 | 0.667 | 34 | 58 | 92 | 0 | 1 | 13 | 11 | 10 | 0 | 353 | 97 | 133 | 123 | 0 | 351 | 114 | 50 | 268 | 22 | 2 | 9.09% | 16 | 1 | 93.75% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 262 | 159 | 255 | 100 | 201 | 102 | 52.5% | 9.6% | 91.5% | 101.1 | LUCKY | |
_Since Last GM Reset | 15 | 8 | 6 | 0 | 0 | 0 | 0 | 1 | 41 | 45 | -4 | 17 | 0.567 | 41 | 72 | 113 | 0 | 1 | 16 | 11 | 14 | 2 | 429 | 116 | 151 | 161 | 4 | 450 | 143 | 107 | 338 | 28 | 2 | 7.14% | 27 | 3 | 88.89% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 326 | 197 | 324 | 128 | 254 | 129 | 48.1% | 9.6% | 90.0% | 99.6 | FUN | |
Total | 15 | 8 | 6 | 0 | 0 | 0 | 0 | 1 | 41 | 45 | -4 | 17 | 0.567 | 41 | 72 | 113 | 0 | 1 | 16 | 11 | 14 | 2 | 429 | 116 | 151 | 161 | 4 | 450 | 143 | 107 | 338 | 28 | 2 | 7.14% | 27 | 3 | 88.89% | 0 | 162 | 343 | 47.23% | 150 | 305 | 49.18% | 107 | 214 | 50.00% | 326 | 197 | 324 | 128 | 254 | 129 | 48.1% | 9.6% | 90.0% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 343 |
Neutral Zone Start | 214 |
Defensive Zone Start | 305 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 419 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.7 | 9.57 |
2nd Period | 17.8 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 3 |
Lost | 3 | 3 |
Overtime Lost | 0 | 1 |
PP Attempt | 28 |
---|---|
PP Goal | 2 |
PK Attempt | 27 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 28.6 |
Shots Against | 30.0 |
Goals For | 2.7 |
Goals Against | 3.0 |
Hits | 22.5 |
Shots Blocked | 9.5 |
Pim | 7.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-09 | VS | NYI2,CBJ3 | RECAP | |||||||||||
2023-10-12 | VS | TBL1,NYI3 | RECAP | |||||||||||
2023-10-15 | VS | NYR0,NYI2 | RECAP | |||||||||||
2023-10-20 | VS | DET3,NYI5 | RECAP | |||||||||||
2023-10-21 | VS | NYI4,CBJ2 | RECAP | |||||||||||
2023-10-25 | VS | BOS4,NYI1 | RECAP | |||||||||||
2023-10-31 | VS | LAK6,NYI1 | RECAP | |||||||||||
2023-11-02 | VS | NYI5,MIN6 (SO) | RECAP | |||||||||||
2023-11-04 | VS | NYI1,CBJ4 | RECAP | |||||||||||
2023-11-08 | VS | PIT5,NYI2 | RECAP | |||||||||||
2023-11-12 | VS | NYI3,PIT2 | RECAP | |||||||||||
2023-11-13 | VS | CAR2,NYI3 | RECAP | |||||||||||
2023-11-16 | VS | NYI3,WSH1 | RECAP | |||||||||||
2023-11-19 | VS | NYI1,ANA3 | RECAP | |||||||||||
2023-11-21 | VS | WSH3,NYI5 | RECAP | |||||||||||
2023-11-24 | VS | |||||||||||||
2023-11-26 | VS | |||||||||||||
2023-12-02 | VS | |||||||||||||
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2024-03-21 | VS | |||||||||||||
2024-03-23 | VS | |||||||||||||
2024-03-27 | VS | |||||||||||||
2024-03-30 | VS | |||||||||||||
2024-04-01 | VS | |||||||||||||
2024-04-06 | VS | |||||||||||||
2024-04-09 | 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 | |||||||||||||
2024-04-18 | VS | |||||||||||||
2024-04-19 | VS | |||||||||||||
2024-04-23 | VS | |||||||||||||
2024-04-24 | VS | |||||||||||||
2024-04-27 | VS | |||||||||||||
2024-04-29 | VS | |||||||||||||
2024-05-02 | VS | |||||||||||||
2024-05-07 | VS | |||||||||||||
2024-05-09 | VS | |||||||||||||
2024-05-13 | VS | |||||||||||||
2024-05-15 | VS | |||||||||||||
2024-05-16 | VS | |||||||||||||
2024-05-22 | VS | |||||||||||||
2024-05-29 | VS | |||||||||||||
2024-06-01 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
74,754,166$ | 0$ | 74,754,166$ | 10,245,834$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | UBS Arena | |
City | New York | ||
Capacity | 19150 | ||
Season Ticket Holders | 70% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 3000 | 4000 | 1150 |
Ticket Price | 160$ | 115$ | 80$ | 50$ | 220$ |
Attendance | 34247 | 30098 | 16945 | 27246 | 7151 |
Attendance PCT | 71.35% | 75.25% | 70.60% | 85.14% | 77.73% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 14461 - 75.51% | 2,067,486$ | 16,539,889$ | 19150 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
74,754,166$ | 74,754,166$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
14,220,781$ | 74,754,166$ | 14,038,182$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
68,227,042$ | 195 | 314,333$ | 61,294,935$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
62,311,755$ | 74,754,166$ | 83,839,689$ | 92,427,976$ |
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 |
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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 |
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Andrew Gibson | |||||
Artyom Galimov | |||||
Brennan Menell | |||||
Devin Kaplan | |||||
Dylan Mackinnon | |||||
Easton Cowan | |||||
Elias Salomonsson | |||||
Jack Bar | |||||
Jamieson Rees | |||||
Kalan Lind | |||||
Maxim Groshev | |||||
Nathan Smith | |||||
Nico Myatovic | |||||
Noah Beck | |||||
Simon Robertsson | 2021 | 48 | |||
Tyson Hind | |||||
Vladislav Kamenev |
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 |
---|---|---|---|---|---|
Andrew Gibson | |||||
Artyom Galimov | |||||
Brennan Menell | |||||
Devin Kaplan | |||||
Dylan Mackinnon | |||||
Easton Cowan | |||||
Elias Salomonsson | |||||
Jack Bar | |||||
Jamieson Rees | |||||
Kalan Lind | |||||
Maxim Groshev | |||||
Nathan Smith | |||||
Nico Myatovic | |||||
Noah Beck | |||||
Simon Robertsson | 2021 | 48 | |||
Tyson Hind | |||||
Vladislav Kamenev |
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