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Full Scoreboard »» |
New York Islanders 7-33-6, 20pts · 16th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tomas Tatar | LW/RW | 100.00 | 73 | 47 | 85 | 79 | 70 | 84 | 94 | 79 | 50 | 76 | 72 | 71 | 77 | 89 | 79 | 1 | 75 | 33 | 5,000,000$/1yrs | |||||
Ondrej Palat | LW/RW | 100.00 | 76 | 50 | 80 | 75 | 76 | 87 | 90 | 78 | 47 | 77 | 71 | 71 | 75 | 87 | 82 | 1 | 75 | 33 | 7,191,000$/4yrs | |||||
Curtis Lazar | C/RW | 100.00 | 84 | 59 | 75 | 75 | 80 | 84 | 88 | 74 | 74 | 71 | 66 | 75 | 71 | 84 | 74 | 1 | 74 | 29 | 2,500,000$/1yrs | |||||
Evgenii Dadonov | LW/RW | 100.00 | 69 | 43 | 88 | 75 | 73 | 84 | 92 | 78 | 40 | 74 | 71 | 68 | 75 | 90 | 80 | 1 | 74 | 35 | 5,200,000$/2yrs | |||||
Logan Couture | C | 100.00 | 64 | 46 | 80 | 75 | 80 | 89 | 86 | 75 | 61 | 70 | 69 | 72 | 73 | 90 | 92 | 1 | 74 | 35 | 6,000,000$/3yrs | |||||
Eric Robinson | LW | 100.00 | 79 | 44 | 87 | 73 | 83 | 82 | 83 | 74 | 46 | 69 | 66 | 71 | 71 | 76 | 66 | 1 | 72 | 29 | 2,100,000$/1yrs | |||||
Max Pacioretty | LW | 100.00 | 66 | 44 | 75 | 69 | 83 | 84 | 86 | 74 | 46 | 71 | 65 | 64 | 70 | 91 | 81 | 1 | 71 | 35 | 6,500,000$/1yrs | |||||
Alexei Toropchenko | LW/RW | 100.00 | 77 | 47 | 85 | 72 | 91 | 81 | 73 | 73 | 40 | 66 | 68 | 72 | 71 | 56 | 50 | 1 | 70 | 25 | 1,450,000$/3yrs | |||||
Brock McGinn | LW/RW | 100.00 | 72 | 46 | 83 | 76 | 75 | 83 | 82 | 71 | 50 | 64 | 65 | 70 | 71 | 82 | 72 | 1 | 70 | 30 | 2,000,000$/4yrs | |||||
Chris Tierney | C | 100.00 | 66 | 44 | 83 | 74 | 77 | 79 | 84 | 70 | 79 | 68 | 64 | 69 | 69 | 84 | 74 | 1 | 70 | 30 | 2,250,000$/4yrs | |||||
Alexander Nylander | LW/RW | 100.00 | 58 | 41 | 79 | 73 | 74 | 78 | 73 | 70 | 48 | 64 | 68 | 62 | 70 | 69 | 62 | 1 | 67 | 26 | 1,425,000$/4yrs | |||||
Matthew Poitras (R) | C | 100.00 | 62 | 40 | 75 | 71 | 72 | 76 | 63 | 67 | 61 | 67 | 63 | 65 | 67 | 51 | 50 | 1 | 65 | 20 | 975,000$/3yrs | |||||
Marc-Edouard Vlasic | D | 100.00 | 69 | 43 | 84 | 74 | 78 | 85 | 91 | 75 | 40 | 70 | 67 | 78 | 72 | 93 | 83 | 1 | 75 | 37 | 8,000,000$/2yrs | |||||
Derek Forbort | D | 100.00 | 69 | 50 | 77 | 73 | 85 | 88 | 81 | 70 | 40 | 66 | 63 | 80 | 68 | 82 | 72 | 1 | 74 | 32 | 3,725,000$/4yrs | |||||
Joel Edmundson | D | 100.00 | 71 | 49 | 74 | 71 | 87 | 86 | 84 | 71 | 40 | 67 | 63 | 75 | 68 | 82 | 73 | 1 | 73 | 31 | 4,444,000$/4yrs | |||||
Johnathan Kovacevic | D | 100.00 | 72 | 61 | 70 | 74 | 87 | 83 | 77 | 74 | 40 | 68 | 68 | 77 | 72 | 59 | 50 | 1 | 72 | 26 | 2,000,000$/4yrs | |||||
Caleb Jones | D | 100.00 | 71 | 44 | 79 | 74 | 79 | 83 | 79 | 71 | 40 | 68 | 63 | 71 | 69 | 73 | 63 | 1 | 71 | 27 | 2,500,000$/3yrs | |||||
Travis Dermott | D | 100.00 | 63 | 41 | 77 | 74 | 81 | 86 | 79 | 68 | 40 | 64 | 63 | 73 | 69 | 76 | 66 | 1 | 71 | 27 | 1,750,000$/4yrs | |||||
Scratches | ||||||||||||||||||||||||||
Robert Bortuzzo | D | 100.00 | 69 | 56 | 70 | 71 | 84 | 83 | 85 | 68 | 40 | 61 | 61 | 75 | 67 | 88 | 78 | 1 | 72 | 35 | 5,500,000$/2yrs | |||||
Ethan Bear | D | 100.00 | 62 | 46 | 80 | 74 | 78 | 84 | 80 | 71 | 40 | 67 | 63 | 71 | 70 | 76 | 66 | 1 | 71 | 27 | 2,000,000$/2yrs | |||||
Josh Mahura | D | 100.00 | 69 | 47 | 75 | 76 | 78 | 83 | 78 | 71 | 40 | 69 | 62 | 72 | 70 | 73 | 63 | 1 | 71 | 26 | 2,900,000$/3yrs | |||||
TEAM AVERAGE | 100.00 | 70 | 47 | 79 | 74 | 80 | 83 | 82 | 72 | 48 | 68 | 66 | 72 | 71 | 79 | 70 | 1 | 72 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Frederik Andersen | 0 | 96.00 | 77 | 83 | 82 | 93 | 82 | 84 | 85 | 86 | 85 | 80 | 77 | 85 | 78 | 1 | 78 | 34 | 6,800,000$/2yrs | |
Chris Driedger | 0 | 100.00 | 75 | 70 | 71 | 69 | 72 | 73 | 73 | 73 | 73 | 73 | 71 | 65 | 58 | 1 | 67 | 30 | 1,800,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 76 | 77 | 77 | 81 | 77 | 79 | 79 | 80 | 79 | 77 | 74 | 75 | 68 | 1 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 90 | 91 | 88 | 78 | 94 | 97 | 1 | CAN | 57 | 3 | 1,000,000$ |
General Manager | Maxime Barrette |
---|
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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Evgenii Dadonov | Islanders | 0 | LW/RW | 46 | 13 | 15 | 28 | -16 | 2 | 0 | 56 | 139 | 62 | 101 | 9.35% | 22 | 18.36 | 3 | 5 | 8 | 0 | 0 | 0 | 48 | 0 | 1 | 31.11% | 0 | 0 | 0.61 | 1 | 4 | 0.64 | ||
2 | Tomas Tatar | Islanders | 0 | LW/RW | 46 | 13 | 10 | 23 | -27 | 35 | 15 | 60 | 170 | 48 | 86 | 7.65% | 21 | 19.01 | 5 | 6 | 11 | 0 | 0 | 0 | 3 | 3 | 1 | 38.33% | 0 | 1 | 0.50 | 1 | 4 | 0.39 | ||
3 | Logan Couture | Islanders | 0 | C | 46 | 10 | 11 | 21 | -14 | 10 | 0 | 78 | 91 | 32 | 62 | 10.99% | 26 | 17.81 | 1 | 2 | 3 | 0 | 0 | 0 | 61 | 2 | 0 | 42.57% | 0 | 0 | 0.46 | 2 | 3 | 0.38 | ||
4 | Curtis Lazar | Islanders | 0 | C/RW | 46 | 5 | 12 | 17 | -28 | 68 | 20 | 76 | 76 | 24 | 53 | 6.58% | 32 | 22.17 | 2 | 6 | 8 | 0 | 0 | 0 | 132 | 0 | 1 | 48.08% | 0 | 0 | 0.37 | 0 | 0 | -0.05 | ||
5 | Ondrej Palat | Islanders | 0 | LW/RW | 46 | 5 | 9 | 14 | -26 | 42 | 10 | 63 | 121 | 37 | 85 | 4.13% | 22 | 20.88 | 3 | 3 | 6 | 0 | 0 | 0 | 58 | 0 | 0 | 34.62% | 0 | 0 | 0.30 | 2 | 4 | 0.14 | ||
6 | Marc-Edouard Vlasic | Islanders | 0 | D | 46 | 2 | 8 | 10 | -20 | 13 | 5 | 45 | 51 | 13 | 28 | 3.92% | 63 | 22.63 | 0 | 6 | 6 | 0 | 0 | 0 | 83 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.10 | ||
7 | Brock McGinn | Islanders | 0 | LW/RW | 46 | 2 | 8 | 10 | -16 | 25 | 5 | 62 | 60 | 20 | 37 | 3.33% | 17 | 16.26 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0 | 0 | 42.31% | 0 | 0 | 0.22 | 0 | 0 | 0.08 | ||
8 | Johnathan Kovacevic | Islanders | 0 | D | 46 | 3 | 6 | 9 | -29 | 78 | 10 | 69 | 61 | 26 | 26 | 4.92% | 55 | 24.58 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0 | 1 | 100.00% | 0 | 0 | 0.20 | 0 | 0 | -0.21 | ||
9 | Max Pacioretty | Islanders | 0 | LW | 46 | 4 | 4 | 8 | -20 | 13 | 5 | 56 | 46 | 17 | 39 | 8.70% | 14 | 12.83 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 43.75% | 0 | 0 | 0.17 | 0 | 0 | 0.05 | ||
10 | Derek Forbort | Islanders | 0 | D | 46 | 1 | 5 | 6 | -35 | 33 | 5 | 44 | 43 | 17 | 17 | 2.33% | 82 | 23.11 | 0 | 0 | 0 | 0 | 0 | 0 | 151 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | -0.15 | ||
11 | Alexei Toropchenko | Islanders | 0 | LW/RW | 47 | 3 | 2 | 5 | -4 | 4 | 0 | 35 | 39 | 13 | 28 | 7.69% | 12 | 10.50 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 1 | 0 | 36.36% | 0 | 0 | 0.11 | 0 | 0 | 0.13 | ||
12 | Chris Tierney | Islanders | 0 | C | 46 | 0 | 4 | 4 | -22 | 2 | 0 | 27 | 60 | 33 | 54 | 0.00% | 12 | 11.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.63% | 0 | 0 | 0.09 | 0 | 0 | 0.03 | ||
13 | Matthew Poitras | Islanders | 0 | C | 45 | 0 | 2 | 2 | -17 | 11 | 5 | 31 | 32 | 11 | 27 | 0.00% | 13 | 8.80 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 38.52% | 0 | 0 | 0.04 | 0 | 0 | -0.06 | ||
14 | Joel Edmundson | Islanders | 0 | D | 46 | 0 | 2 | 2 | -17 | 29 | 5 | 39 | 20 | 7 | 11 | 0.00% | 58 | 18.14 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | -0.12 | ||
15 | Travis Dermott | Islanders | 0 | D | 33 | 0 | 2 | 2 | -17 | 10 | 0 | 26 | 14 | 5 | 5 | 0.00% | 30 | 12.87 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | -0.10 | ||
16 | Eric Robinson | Islanders | 0 | LW | 5 | 0 | 2 | 2 | 2 | 2 | 0 | 3 | 2 | 2 | 4 | 0.00% | 2 | 16.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 0 | 0 | 0.40 | 0 | 0 | 0.40 | ||
17 | Ethan Bear | Islanders | 0 | D | 13 | 1 | 0 | 1 | -2 | 5 | 5 | 5 | 9 | 1 | 4 | 11.11% | 6 | 12.61 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.01 | ||
18 | Josh Mahura | Islanders | 0 | D | 14 | 0 | 1 | 1 | -6 | 6 | 0 | 7 | 0 | 4 | 2 | 0.00% | 7 | 13.04 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | -0.15 | ||
19 | Robert Bortuzzo | Islanders | 0 | D | 24 | 0 | 1 | 1 | -14 | 22 | 10 | 15 | 8 | 3 | 2 | 0.00% | 12 | 11.63 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | -0.29 | ||
20 | Alexander Nylander | Islanders | 0 | LW/RW | 45 | 1 | 0 | 1 | -15 | 4 | 0 | 28 | 64 | 13 | 33 | 1.56% | 2 | 9.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 20.00% | 0 | 0 | 0.02 | 0 | 0 | 0.02 | ||
21 | Caleb Jones | Islanders | 0 | D | 10 | 0 | 0 | 0 | -3 | 2 | 0 | 11 | 4 | 2 | 0 | 0.00% | 5 | 12.76 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | ||
Team Total or Average | 788 | 63 | 104 | 167 | -346 | 416 | 100 | 836 | 1110 | 390 | 704 | 5.68% | 513 | 16.50 | 16 | 29 | 45 | 891 | 0 | 0 | 0 | 955 | 6 | 5 | 45.66% | 2637 | 288 | 302 | 0 | 1 | 0.26 | 6 | 15 |
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 | Frederik Andersen | Islanders | 33 | 4 | 25 | 4 | 0.897 | 3.47 | 1955 | 2 | 0 | 113 | 1095 | 500 | 0 | 0 | 0.667 | 9 | 33 | 13 | 4 | 0 | 0 |
2 | Chris Driedger | Islanders | 14 | 3 | 8 | 2 | 0.897 | 3.47 | 829 | 0 | 0 | 48 | 467 | 245 | 2 | 1 | 0.667 | 6 | 13 | 33 | 1 | 0 | 0 |
Team Total or Average | 47 | 7 | 33 | 6 | 0.897 | 3.47 | 2784 | 2 | 0 | 161 | 1562 | 745 | 2 | 1 | 0.667 | 15 | 46 | 46 | 5 | 0 | 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 | Ducks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 5 | 4 | 0 | 37 | 9 | 19 | 26 | 0 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 15 | 6 | 25 | 10 | 18 | 7 | 0.0% | 0.0% | 86.5% | 86.5 | Unlucky |
2 | Bruins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 6 | -5 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 50 | 8 | 20 | 17 | 5 | 71 | 26 | 15 | 31 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 43 | 24 | 42 | 18 | 37 | 19 | 16.7% | 2.0% | 91.5% | 93.5 | DULL |
3 | Sabres | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 71 | 27 | 23 | 21 | 0 | 106 | 23 | 25 | 65 | 9 | 2 | 22.22% | 10 | 2 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 59 | 34 | 68 | 28 | 51 | 25 | 18.2% | 5.6% | 89.6% | 95.3 | Unlucky |
4 | Flames | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 0 | 1 | 29 | 5 | 18 | 4 | 2 | 11 | 6 | 10 | 23 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 25 | 16 | 16 | 9 | 19 | 8 | 100.0% | 6.9% | 90.9% | 97.8 | Unlucky |
5 | Hurricanes | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 2 | 45 | 14 | 12 | 19 | 5 | 83 | 25 | 14 | 31 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 40 | 23 | 47 | 20 | 36 | 17 | 28.6% | 4.4% | 91.6% | 96.0 | DULL |
6 | Blackhawks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 45 | 10 | 20 | 15 | 0 | 78 | 25 | 8 | 43 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 36 | 20 | 50 | 17 | 33 | 15 | 33.3% | 6.7% | 91.0% | 97.7 | Unlucky |
7 | Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 35 | 9 | 18 | 8 | 0 | 25 | 7 | 42 | 24 | 2 | 2 | 100.00% | 6 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 11 | 21 | 9 | 17 | 8 | 0.0% | 5.7% | 84.0% | 89.7 | Unlucky |
8 | Blue Jackets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | -11 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 46 | 17 | 15 | 14 | 0 | 74 | 26 | 10 | 44 | 7 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 36 | 19 | 48 | 19 | 35 | 16 | 10.0% | 2.2% | 83.8% | 86.0 | Unlucky |
9 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 17 | 8 | 5 | 0 | 37 | 16 | 6 | 17 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 18 | 10 | 23 | 10 | 17 | 8 | 0.0% | 3.3% | 89.2% | 92.5 | Unlucky |
10 | Red Wings | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | -12 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 74 | 28 | 23 | 23 | 0 | 94 | 23 | 90 | 47 | 9 | 2 | 22.22% | 15 | 4 | 73.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 58 | 33 | 69 | 28 | 52 | 24 | 0.0% | 2.7% | 85.1% | 87.8 | Unlucky |
11 | Oilers | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 0 | 1 | 2 | 2 | 25 | 8 | 6 | 11 | 3 | 32 | 12 | 16 | 18 | 4 | 2 | 50.00% | 3 | 2 | 33.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 22 | 11 | 22 | 10 | 20 | 9 | 66.7% | 16.0% | 90.6% | 106.6 | FUN |
12 | Panthers | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 36 | 9 | 15 | 11 | 1 | 30 | 13 | 2 | 13 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 12 | 23 | 8 | 16 | 8 | 33.3% | 8.3% | 86.7% | 95.0 | Unlucky |
13 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 4 | 9 | 18 | 0 | 32 | 16 | 8 | 17 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 11 | 21 | 9 | 17 | 7 | 16.7% | 3.2% | 84.4% | 87.6 | Unlucky |
14 | Canadiens | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 0 | 1 | 4 | 0 | 57 | 18 | 18 | 21 | 0 | 54 | 26 | 14 | 43 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 38 | 20 | 42 | 20 | 38 | 18 | 62.5% | 8.8% | 90.7% | 99.5 | Unlucky |
15 | Devils | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 3 | 1 | 2 | 1 | 62 | 18 | 21 | 22 | 1 | 85 | 20 | 10 | 27 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 39 | 23 | 49 | 17 | 32 | 15 | 46.2% | 11.3% | 91.8% | 103.1 | LUCKY |
16 | Rangers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 9 | 10 | 2 | 0 | 31 | 7 | 23 | 23 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 18 | 10 | 25 | 9 | 16 | 6 | 0.0% | 0.0% | 87.1% | 87.1 | Unlucky |
17 | Senators | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 1 | 65 | 19 | 22 | 23 | 5 | 116 | 41 | 38 | 56 | 8 | 2 | 25.00% | 10 | 3 | 70.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 58 | 33 | 72 | 28 | 53 | 25 | 22.2% | 6.2% | 91.4% | 97.5 | DULL |
18 | Flyers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 8 | 7 | 0 | 28 | 10 | 12 | 21 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 21 | 10 | 20 | 9 | 18 | 8 | 0.0% | 0.0% | 92.9% | 92.9 | DULL |
19 | Utah Hockey Club | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 49 | 11 | 23 | 15 | 0 | 64 | 13 | 14 | 30 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 38 | 20 | 46 | 19 | 35 | 17 | 25.0% | 4.1% | 87.5% | 91.6 | Unlucky |
20 | Penguins | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 71 | 29 | 23 | 19 | 0 | 102 | 46 | 18 | 61 | 11 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 58 | 31 | 68 | 27 | 52 | 25 | 25.0% | 4.2% | 89.2% | 93.4 | Unlucky |
21 | Sharks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 21 | 8 | 7 | 6 | 0 | 31 | 13 | 10 | 27 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 11 | 21 | 8 | 17 | 9 | 50.0% | 14.3% | 93.5% | 107.8 | LUCKY |
22 | Blues | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 56 | 17 | 23 | 16 | 0 | 65 | 26 | 32 | 41 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 41 | 23 | 43 | 18 | 34 | 16 | 50.0% | 5.4% | 93.8% | 99.2 | DULL |
23 | Maple Leafs | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 3 | 10 | -7 | 1 | 0.167 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 85 | 27 | 27 | 31 | 0 | 101 | 54 | 18 | 56 | 5 | 1 | 20.00% | 9 | 3 | 66.67% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 62 | 38 | 67 | 26 | 49 | 23 | 22.2% | 3.5% | 90.1% | 93.6 | Unlucky |
24 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 9 | 14 | 13 | 0 | 41 | 12 | 8 | 19 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 19 | 12 | 24 | 8 | 16 | 7 | 20.0% | 2.8% | 87.8% | 90.6 | Unlucky |
25 | Capitals | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 21 | 5 | 3 | 13 | 4 | 35 | 8 | 15 | 27 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 21 | 12 | 24 | 10 | 19 | 8 | 75.0% | 14.3% | 94.3% | 108.6 | LUCKY |
26 | Golden Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 7 | 6 | 9 | 0 | 32 | 9 | 8 | 15 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 18 | 10 | 25 | 9 | 16 | 6 | 20.0% | 4.5% | 87.5% | 92.0 | Unlucky |
27 | Kraken | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 1 | 1 | 0 | 60 | 13 | 23 | 24 | 0 | 68 | 25 | 19 | 38 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 44 | 26 | 42 | 17 | 33 | 17 | 33.3% | 5.0% | 89.7% | 94.7 | Unlucky |
_Vs Division | 12 | 0 | 8 | 0 | 1 | 1 | 1 | 1 | 16 | 45 | -29 | 6 | 0.250 | 16 | 27 | 43 | 0 | 0 | 4 | 4 | 6 | 4 | 286 | 97 | 92 | 96 | 10 | 438 | 142 | 102 | 234 | 30 | 1 | 3.33% | 42 | 9 | 78.57% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 235 | 131 | 285 | 112 | 210 | 98 | 29.4% | 5.6% | 89.7% | 95.3 | Unlucky | |
_Vs Conference | 29 | 1 | 20 | 0 | 1 | 4 | 1 | 2 | 38 | 105 | -67 | 12 | 0.207 | 38 | 63 | 101 | 0 | 0 | 6 | 12 | 18 | 5 | 724 | 233 | 240 | 243 | 21 | 1010 | 348 | 304 | 545 | 76 | 9 | 11.84% | 99 | 24 | 75.76% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 578 | 328 | 671 | 272 | 510 | 243 | 26.4% | 5.2% | 89.6% | 94.9 | Unlucky | |
_Since Last GM Reset | 46 | 3 | 33 | 0 | 2 | 4 | 2 | 2 | 64 | 164 | -100 | 20 | 0.217 | 64 | 104 | 168 | 1 | 0 | 15 | 18 | 27 | 8 | 1178 | 357 | 420 | 391 | 26 | 1563 | 537 | 504 | 883 | 111 | 17 | 15.32% | 164 | 37 | 77.44% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 921 | 522 | 1057 | 431 | 808 | 384 | 27.0% | 5.4% | 89.5% | 94.9 | Unlucky | |
Total | 46 | 3 | 33 | 0 | 2 | 4 | 2 | 2 | 64 | 164 | -100 | 20 | 0.217 | 64 | 104 | 168 | 1 | 0 | 15 | 18 | 27 | 8 | 1178 | 357 | 420 | 391 | 26 | 1563 | 537 | 504 | 883 | 111 | 17 | 15.32% | 164 | 37 | 77.44% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 921 | 522 | 1057 | 431 | 808 | 384 | 27.0% | 5.4% | 89.5% | 94.9 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 930 |
Neutral Zone Start | 586 |
Defensive Zone Start | 1113 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1211 |
Faceoffs Lost | 1418 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.8 | 9.57 |
2nd Period | 16.9 | 20.31 |
3rd Period | 25.4 | 30.68 |
Overtime | 26.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 0.7 | 1.65 |
3rd Period | 1.3 | 2.67 |
Overtime | 1.5 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 5 |
Lost | 17 | 16 |
Overtime Lost | 3 | 3 |
PP Attempt | 111 |
---|---|
PP Goal | 17 |
PK Attempt | 164 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 25.6 |
Shots Against | 34.0 |
Goals For | 1.4 |
Goals Against | 3.6 |
Hits | 19.2 |
Shots Blocked | 11.7 |
Pim | 11.0 |
Projected Total Cap Hit | 84,010,000$ |
Projected Cap Space | 3,990,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 47,732,400$ |
Players In Salary Cap | 23 |
Contracts | 60/50 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Nylander | LW/RW | 26 | 1,425,000$ | 1,425,000$ | 1,425,000$ | 1,425,000$ | 1,425,000$ | UFA | |||
Alexei Toropchenko | LW/RW | 25 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | UFA | ||||
Brock McGinn | LW/RW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Caleb Jones | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Chris Driedger | G | 30 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
Chris Tierney | C | 30 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||
Curtis Lazar | C/RW | 29 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Derek Forbort | D | 32 | 3,725,000$ | 3,725,000$ | 3,725,000$ | 3,725,000$ | 3,725,000$ | UFA | |||
Eric Robinson | LW | 29 | 2,100,000$ | 2,100,000$ | UFA | ||||||
Ethan Bear | D | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Evgenii Dadonov | LW/RW | 35 | 5,200,000$ | 5,200,000$ | 5,200,000$ | UFA | |||||
Frederik Andersen | G | 34 | 6,800,000$ | 6,800,000$ | 6,800,000$ | UFA | |||||
Joel Edmundson | D | 31 | 4,444,000$ | 4,444,000$ | 4,444,000$ | 4,444,000$ | 4,444,000$ | UFA | |||
Johnathan Kovacevic | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Josh Mahura | D | 26 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||
Logan Couture | C | 35 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Marc-Edouard Vlasic | D | 37 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Matthew Poitras | C | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Max Pacioretty | LW | 35 | 6,500,000$ | 6,500,000$ | UFA | ||||||
Ondrej Palat | LW/RW | 33 | 7,191,000$ | 7,191,000$ | 7,191,000$ | 7,191,000$ | 7,191,000$ | UFA | |||
Robert Bortuzzo | D | 35 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Tomas Tatar | LW/RW | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Travis Dermott | D | 27 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Meyers | C/LW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Brandon Gignac | C | 26 | 975,000$ | 975,000$ | RFA | ||||||
Brendan Warren | LW | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Brent Gates Jr. | C | 26 | 975,000$ | 975,000$ | RFA | ||||||
Cameron Hillis | C | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Collin Graf | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Conor Timmins | D | 25 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | ||||
Corey Schueneman | D | 28 | 950,000$ | 975,000$ | UFA | ||||||
David Farrance | D | 25 | 975,000$ | 975,000$ | RFA | ||||||
Dennis Hildeby | G | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Dmitry Osipov | D | 27 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Dylan Coghlan | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Emil Lilleberg | D | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ethan Del Mastro | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Hayden Hodgson | RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Henri Nikkanen | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
Hugo Alnefelt | G | 23 | 975,000$ | 975,000$ | RFA | ||||||
Hunter Jones | G | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | |||
Jackson Cates | C/LW/RW | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Jakub Galvas | D | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Jordy Bellerive | C | 25 | 975,000$ | 975,000$ | RFA | ||||||
Libor Hajek | D | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Mason Shaw | C/LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||||
Matt Coronato | RW | 21 | 925,000$ | 975,000$ | 975,000$ | RFA | |||||
Matthew Strome | LW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Mike Smith | G | 42 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Mitchell Vande Sompel | D | 27 | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | UFA | ||||
Nicklas Backstrom | C | 36 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Nicolas Meloche | D | 26 | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | UFA | ||||
Ryan Hofer | C | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ryan Schmelzer | C | 30 | 975,000$ | 975,000$ | UFA | ||||||
Seth Barton | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | ||||
Stephen Halliday | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Taro Hirose | LW | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Thomas Milic | G | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ty Tullio | RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tyler Madden | C | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA |
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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 | Ducks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 5 | 4 | 0 | 37 | 9 | 19 | 26 | 0 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 15 | 6 | 25 | 10 | 18 | 7 | 0.0% | 0.0% | 86.5% | 86.5 | Unlucky |
2 | Bruins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 6 | -5 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 50 | 8 | 20 | 17 | 5 | 71 | 26 | 15 | 31 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 43 | 24 | 42 | 18 | 37 | 19 | 16.7% | 2.0% | 91.5% | 93.5 | DULL |
3 | Sabres | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 71 | 27 | 23 | 21 | 0 | 106 | 23 | 25 | 65 | 9 | 2 | 22.22% | 10 | 2 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 59 | 34 | 68 | 28 | 51 | 25 | 18.2% | 5.6% | 89.6% | 95.3 | Unlucky |
4 | Flames | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 0 | 1 | 29 | 5 | 18 | 4 | 2 | 11 | 6 | 10 | 23 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 25 | 16 | 16 | 9 | 19 | 8 | 100.0% | 6.9% | 90.9% | 97.8 | Unlucky |
5 | Hurricanes | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 2 | 45 | 14 | 12 | 19 | 5 | 83 | 25 | 14 | 31 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 40 | 23 | 47 | 20 | 36 | 17 | 28.6% | 4.4% | 91.6% | 96.0 | DULL |
6 | Blackhawks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 45 | 10 | 20 | 15 | 0 | 78 | 25 | 8 | 43 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 36 | 20 | 50 | 17 | 33 | 15 | 33.3% | 6.7% | 91.0% | 97.7 | Unlucky |
7 | Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 35 | 9 | 18 | 8 | 0 | 25 | 7 | 42 | 24 | 2 | 2 | 100.00% | 6 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 11 | 21 | 9 | 17 | 8 | 0.0% | 5.7% | 84.0% | 89.7 | Unlucky |
8 | Blue Jackets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | -11 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 46 | 17 | 15 | 14 | 0 | 74 | 26 | 10 | 44 | 7 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 36 | 19 | 48 | 19 | 35 | 16 | 10.0% | 2.2% | 83.8% | 86.0 | Unlucky |
9 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 17 | 8 | 5 | 0 | 37 | 16 | 6 | 17 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 18 | 10 | 23 | 10 | 17 | 8 | 0.0% | 3.3% | 89.2% | 92.5 | Unlucky |
10 | Red Wings | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | -12 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 74 | 28 | 23 | 23 | 0 | 94 | 23 | 90 | 47 | 9 | 2 | 22.22% | 15 | 4 | 73.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 58 | 33 | 69 | 28 | 52 | 24 | 0.0% | 2.7% | 85.1% | 87.8 | Unlucky |
11 | Oilers | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 0 | 1 | 2 | 2 | 25 | 8 | 6 | 11 | 3 | 32 | 12 | 16 | 18 | 4 | 2 | 50.00% | 3 | 2 | 33.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 22 | 11 | 22 | 10 | 20 | 9 | 66.7% | 16.0% | 90.6% | 106.6 | FUN |
12 | Panthers | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 36 | 9 | 15 | 11 | 1 | 30 | 13 | 2 | 13 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 12 | 23 | 8 | 16 | 8 | 33.3% | 8.3% | 86.7% | 95.0 | Unlucky |
13 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 4 | 9 | 18 | 0 | 32 | 16 | 8 | 17 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 11 | 21 | 9 | 17 | 7 | 16.7% | 3.2% | 84.4% | 87.6 | Unlucky |
14 | Canadiens | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 0 | 1 | 4 | 0 | 57 | 18 | 18 | 21 | 0 | 54 | 26 | 14 | 43 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 38 | 20 | 42 | 20 | 38 | 18 | 62.5% | 8.8% | 90.7% | 99.5 | Unlucky |
15 | Devils | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 3 | 1 | 2 | 1 | 62 | 18 | 21 | 22 | 1 | 85 | 20 | 10 | 27 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 39 | 23 | 49 | 17 | 32 | 15 | 46.2% | 11.3% | 91.8% | 103.1 | LUCKY |
16 | Rangers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 9 | 10 | 2 | 0 | 31 | 7 | 23 | 23 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 18 | 10 | 25 | 9 | 16 | 6 | 0.0% | 0.0% | 87.1% | 87.1 | Unlucky |
17 | Senators | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 1 | 65 | 19 | 22 | 23 | 5 | 116 | 41 | 38 | 56 | 8 | 2 | 25.00% | 10 | 3 | 70.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 58 | 33 | 72 | 28 | 53 | 25 | 22.2% | 6.2% | 91.4% | 97.5 | DULL |
18 | Flyers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 5 | 8 | 7 | 0 | 28 | 10 | 12 | 21 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 21 | 10 | 20 | 9 | 18 | 8 | 0.0% | 0.0% | 92.9% | 92.9 | DULL |
19 | Utah Hockey Club | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 49 | 11 | 23 | 15 | 0 | 64 | 13 | 14 | 30 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 38 | 20 | 46 | 19 | 35 | 17 | 25.0% | 4.1% | 87.5% | 91.6 | Unlucky |
20 | Penguins | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 71 | 29 | 23 | 19 | 0 | 102 | 46 | 18 | 61 | 11 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 58 | 31 | 68 | 27 | 52 | 25 | 25.0% | 4.2% | 89.2% | 93.4 | Unlucky |
21 | Sharks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 21 | 8 | 7 | 6 | 0 | 31 | 13 | 10 | 27 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 20 | 11 | 21 | 8 | 17 | 9 | 50.0% | 14.3% | 93.5% | 107.8 | LUCKY |
22 | Blues | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 56 | 17 | 23 | 16 | 0 | 65 | 26 | 32 | 41 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 41 | 23 | 43 | 18 | 34 | 16 | 50.0% | 5.4% | 93.8% | 99.2 | DULL |
23 | Maple Leafs | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 3 | 10 | -7 | 1 | 0.167 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 85 | 27 | 27 | 31 | 0 | 101 | 54 | 18 | 56 | 5 | 1 | 20.00% | 9 | 3 | 66.67% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 62 | 38 | 67 | 26 | 49 | 23 | 22.2% | 3.5% | 90.1% | 93.6 | Unlucky |
24 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 9 | 14 | 13 | 0 | 41 | 12 | 8 | 19 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 19 | 12 | 24 | 8 | 16 | 7 | 20.0% | 2.8% | 87.8% | 90.6 | Unlucky |
25 | Capitals | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 21 | 5 | 3 | 13 | 4 | 35 | 8 | 15 | 27 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 21 | 12 | 24 | 10 | 19 | 8 | 75.0% | 14.3% | 94.3% | 108.6 | LUCKY |
26 | Golden Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 7 | 6 | 9 | 0 | 32 | 9 | 8 | 15 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 18 | 10 | 25 | 9 | 16 | 6 | 20.0% | 4.5% | 87.5% | 92.0 | Unlucky |
27 | Kraken | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 1 | 1 | 0 | 60 | 13 | 23 | 24 | 0 | 68 | 25 | 19 | 38 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 44 | 26 | 42 | 17 | 33 | 17 | 33.3% | 5.0% | 89.7% | 94.7 | Unlucky |
_Vs Division | 12 | 0 | 8 | 0 | 1 | 1 | 1 | 1 | 16 | 45 | -29 | 6 | 0.250 | 16 | 27 | 43 | 0 | 0 | 4 | 4 | 6 | 4 | 286 | 97 | 92 | 96 | 10 | 438 | 142 | 102 | 234 | 30 | 1 | 3.33% | 42 | 9 | 78.57% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 235 | 131 | 285 | 112 | 210 | 98 | 29.4% | 5.6% | 89.7% | 95.3 | Unlucky | |
_Vs Conference | 29 | 1 | 20 | 0 | 1 | 4 | 1 | 2 | 38 | 105 | -67 | 12 | 0.207 | 38 | 63 | 101 | 0 | 0 | 6 | 12 | 18 | 5 | 724 | 233 | 240 | 243 | 21 | 1010 | 348 | 304 | 545 | 76 | 9 | 11.84% | 99 | 24 | 75.76% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 578 | 328 | 671 | 272 | 510 | 243 | 26.4% | 5.2% | 89.6% | 94.9 | Unlucky | |
_Since Last GM Reset | 46 | 3 | 33 | 0 | 2 | 4 | 2 | 2 | 64 | 164 | -100 | 20 | 0.217 | 64 | 104 | 168 | 1 | 0 | 15 | 18 | 27 | 8 | 1178 | 357 | 420 | 391 | 26 | 1563 | 537 | 504 | 883 | 111 | 17 | 15.32% | 164 | 37 | 77.44% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 921 | 522 | 1057 | 431 | 808 | 384 | 27.0% | 5.4% | 89.5% | 94.9 | Unlucky | |
Total | 46 | 3 | 33 | 0 | 2 | 4 | 2 | 2 | 64 | 164 | -100 | 20 | 0.217 | 64 | 104 | 168 | 1 | 0 | 15 | 18 | 27 | 8 | 1178 | 357 | 420 | 391 | 26 | 1563 | 537 | 504 | 883 | 111 | 17 | 15.32% | 164 | 37 | 77.44% | 0 | 425 | 930 | 45.70% | 509 | 1113 | 45.73% | 277 | 586 | 47.27% | 921 | 522 | 1057 | 431 | 808 | 384 | 27.0% | 5.4% | 89.5% | 94.9 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 930 |
Neutral Zone Start | 586 |
Defensive Zone Start | 1113 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1211 |
Faceoffs Lost | 1418 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.8 | 9.57 |
2nd Period | 16.9 | 20.31 |
3rd Period | 25.4 | 30.68 |
Overtime | 26.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 0.7 | 1.65 |
3rd Period | 1.3 | 2.67 |
Overtime | 1.5 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 5 |
Lost | 17 | 16 |
Overtime Lost | 3 | 3 |
PP Attempt | 111 |
---|---|
PP Goal | 17 |
PK Attempt | 164 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 25.6 |
Shots Against | 34.0 |
Goals For | 1.4 |
Goals Against | 3.6 |
Hits | 19.2 |
Shots Blocked | 11.7 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Oct 18 | PHO | @ | NYI | PHO4,NYI2 | RECAP | |||||||||
Sun, Oct 20 | NYI | @ | DAL | NYI1,DAL4 | RECAP | |||||||||
Tue, Oct 22 | NYI | @ | COL | NYI2,COL4 | RECAP | |||||||||
Fri, Oct 25 | NYI | @ | STL | NYI2,STL1 | RECAP | |||||||||
Sun, Oct 27 | MTL | @ | NYI | MTL2,NYI4 | RECAP | |||||||||
Wed, Oct 30 | DET | @ | NYI | DET8,NYI1 | RECAP | |||||||||
Sat, Nov 2 | NYI | @ | NJD | NYI6,NJD5 (OT) | RECAP | |||||||||
Sun, Nov 3 | FLO | @ | NYI | FLO4,NYI3 (OT) | RECAP | |||||||||
Wed, Nov 6 | ANA | @ | NYI | ANA5,NYI0 | RECAP | |||||||||
Thu, Nov 7 | NYI | @ | CLB | NYI1,CLB6 | RECAP | |||||||||
Sat, Nov 9 | NYI | @ | BUF | NYI1,BUF5 | RECAP | |||||||||
Mon, Nov 11 | NYI | @ | NYR | NYI0,NYR4 | RECAP | |||||||||
Wed, Nov 13 | PIT | @ | NYI | PIT2,NYI1 | RECAP | |||||||||
Fri, Nov 15 | NYI | @ | OTT | NYI2,OTT3 (SO) | RECAP | |||||||||
Sun, Nov 17 | NJD | @ | NYI | NJD2,NYI1 (OT) | RECAP | |||||||||
Wed, Nov 20 | NYI | @ | EDM | NYI4,EDM3 (SO) | RECAP | |||||||||
Fri, Nov 22 | NYI | @ | VAN | NYI1,VAN5 | RECAP | |||||||||
Sun, Nov 24 | NYI | @ | SEA | NYI1,SEA3 | RECAP | |||||||||
Wed, Nov 27 | NYI | @ | CAL | NYI2,CAL1 (OT) | RECAP | |||||||||
Fri, Nov 29 | NYI | @ | DET | NYI0,DET2 | RECAP | |||||||||
Sun, Dec 1 | STL | @ | NYI | STL3,NYI1 | RECAP | |||||||||
Tue, Dec 3 | DET | @ | NYI | DET4,NYI1 | RECAP | |||||||||
Thu, Dec 5 | BOS | @ | NYI | BOS4,NYI0 | RECAP | |||||||||
Sat, Dec 7 | NYI | @ | WAS | NYI3,WAS2 (SO) | RECAP | |||||||||
Sun, Dec 8 | BUF | @ | NYI | BUF4,NYI2 | RECAP | |||||||||
Wed, Dec 11 | NYI | @ | MTL | NYI1,MTL3 | RECAP | |||||||||
Fri, Dec 13 | SEA | @ | NYI | SEA4,NYI2 | RECAP | |||||||||
Sun, Dec 15 | CAR | @ | NYI | CAR3,NYI2 (SO) | RECAP | |||||||||
Mon, Dec 16 | NYI | @ | OTT | NYI1,OTT4 | RECAP | |||||||||
Wed, Dec 18 | LOS | @ | NYI | LOS5,NYI1 | RECAP | |||||||||
Fri, Dec 20 | CHI | @ | NYI | CHI4,NYI2 | RECAP | |||||||||
Mon, Dec 23 | NYI | @ | CHI | NYI1,CHI3 | RECAP | |||||||||
Wed, Dec 25 | NYI | @ | CAR | NYI0,CAR4 | RECAP | |||||||||
Sun, Dec 29 | NYI | @ | TOR | NYI1,TOR3 | RECAP | |||||||||
Tue, Dec 31 | BUF | @ | NYI | BUF2,NYI1 | RECAP | |||||||||
Sun, Jan 5 | PIT | @ | NYI | PIT5,NYI1 | RECAP | |||||||||
Mon, Jan 6 | NYI | @ | PIT | NYI1,PIT4 | RECAP | |||||||||
Wed, Jan 8 | NYI | @ | TOR | NYI1,TOR2 (OT) | RECAP | |||||||||
Fri, Jan 10 | TOR | @ | NYI | TOR5,NYI1 | RECAP | |||||||||
Mon, Jan 13 | NYI | @ | BOS | NYI1,BOS2 (OT) | RECAP | |||||||||
Fri, Jan 17 | NYI | @ | GKV | NYI1,GKV4 | RECAP | |||||||||
Sun, Jan 19 | NYI | @ | PHO | NYI0,PHO4 | RECAP | |||||||||
Wed, Jan 22 | OTT | @ | NYI | OTT3,NYI1 | RECAP | |||||||||
Fri, Jan 24 | PHI | @ | NYI | PHI2,NYI0 | RECAP | |||||||||
Sun, Jan 26 | SJ | @ | NYI | SJ 2,NYI3 | RECAP | |||||||||
Tue, Jan 28 | CLB | @ | NYI | CLB6,NYI0 | RECAP | |||||||||
Sat, Feb 1 | PHI | @ | NYI | |||||||||||
Sun, Feb 2 | CAR | @ | NYI | |||||||||||
Wed, Feb 5 | COL | @ | NYI | |||||||||||
Fri, Feb 7 | NYI | @ | PHI | |||||||||||
Sun, Feb 9 | NYI | @ | TAM | |||||||||||
Mon, Feb 10 | NYI | @ | FLO | |||||||||||
Wed, Feb 12 | GKV | @ | NYI | |||||||||||
Sat, Feb 15 | NYI | @ | WPG | |||||||||||
Sun, Feb 16 | NYI | @ | MIN | |||||||||||
Mon, Mar 3 | DAL | @ | NYI | |||||||||||
Wed, Mar 5 | NYR | @ | NYI | |||||||||||
Fri, Mar 7 | NYI | @ | BOS | |||||||||||
Sun, Mar 9 | NAS | @ | NYI | |||||||||||
Tue, Mar 11 | NYI | @ | NYR | |||||||||||
Wed, Mar 12 | WPG | @ | NYI | |||||||||||
Sun, Mar 16 | NYI | @ | SJ | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Mar 17 | NYI | @ | ANA | |||||||||||
Wed, Mar 19 | NYI | @ | LOS | |||||||||||
Sat, Mar 22 | EDM | @ | NYI | |||||||||||
Mon, Mar 24 | FLO | @ | NYI | |||||||||||
Wed, Mar 26 | NYI | @ | PIT | |||||||||||
Fri, Mar 28 | MTL | @ | NYI | |||||||||||
Sun, Mar 30 | CAL | @ | NYI | |||||||||||
Tue, Apr 1 | CLB | @ | NYI | |||||||||||
Thu, Apr 3 | VAN | @ | NYI | |||||||||||
Sun, Apr 6 | NYI | @ | TAM | |||||||||||
Mon, Apr 7 | NYI | @ | CAR | |||||||||||
Wed, Apr 9 | TAM | @ | NYI | |||||||||||
Sat, Apr 12 | MIN | @ | NYI | |||||||||||
Mon, Apr 14 | WAS | @ | NYI | |||||||||||
Wed, Apr 16 | NYI | @ | NAS | |||||||||||
Fri, Apr 18 | NYR | @ | NYI | |||||||||||
Sun, Apr 20 | NYI | @ | PHI | |||||||||||
Mon, Apr 21 | NYI | @ | NJD | |||||||||||
Wed, Apr 23 | WAS | @ | NYI | |||||||||||
Fri, Apr 25 | NYI | @ | CLB |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,010,000$ | 0$ | 84,010,000$ | 3,990,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Nassau Veterans Memorial | ||
City | New York | ||
Capacity | 16234 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 2234 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 99619 | 85091 | 44000 | 49148 | 21423 |
Attendance PCT | 75.47% | 77.36% | 100.00% | 100.00% | 97.38% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
19 | 13604 - 83.80% | 1,292,609$ | 28,437,396$ | 16234 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,010,000$ | 84,010,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
48,303,824$ | 84,010,000$ | 47,732,400$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
24,559,569$ | 84 | 433,724$ | 36,432,816$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
38,524,944$ | 84,010,000$ | 920,858$ | -13,044,517$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alfons Freij | Islanders | 2024 | 35 | ||
Andrei Loshko | Islanders | 2023 | 117 | ||
Andrew Basha | Islanders | 2024 | 34 | ||
Artyom Levshunov | Islanders | 2024 | 3 | ||
Benjamin Roger | Islanders | 2021 | 42 | ||
Blake Montgomery | Islanders | 2024 | 93 | ||
Blake Siebenaler | Islanders | Link | |||
Carsen Musser | Islanders | 2023 | 160 | ||
Chase Cheslock | Islanders | 2023 | 179 | ||
Cole Hults | Islanders | Link | |||
Conner Roulette | Islanders | 2021 | 88 | ||
Dalyn Wakely | Islanders | 2024 | 147 | ||
Daniel Hauser | Islanders | 2022 | 219 | ||
Dean Kukan | Islanders | Link | |||
Deni Goure | Islanders | 2024 | 180 | ||
Dominik Badinka | Islanders | 2024 | 28 | ||
Fedor Gordeev | Islanders | 2017 | 177 | ||
Gabe Smith | Islanders | 2024 | 102 | ||
Hagen Burrows | Islanders | 2024 | 119 | ||
Henry Mews | Islanders | 2024 | 58 | ||
Hugo Gabrielson | Islanders | 2021 | 207 | ||
Jack Kopacka | Islanders | Link | |||
Jake Chiasson | Islanders | 2021 | 114 | ||
Jake Fisher | Islanders | 2024 | 135 | ||
Jonathan Morello | Islanders | 2024 | 205 | ||
Justin Ertel | Islanders | 2021 | 85 | ||
Linus Soderstrom | Islanders | 2014 | 82 | ||
Lucas Pettersson | Islanders | 2024 | 36 | ||
Lukas Fischer | Islanders | 2024 | 66 | ||
Marek Alscher | Islanders | 2022 | 114 | ||
Matthew Andonovski | Islanders | 2023 | 171 | ||
Matthew Morden | Islanders | 2022 | 156 | ||
Maxim Barbashev | Islanders | 2022 | 139 | ||
Niilopekka Muhonen | Islanders | 2024 | 130 | ||
Oscar Eklind | Islanders | 2024 | 194 | ||
Radovan Bondra | Islanders | 2015 | 117 | ||
Ryerson Leenders | Islanders | 2024 | 161 | ||
Sam Sedley | Islanders | 2024 | 94 | ||
Samuel Savoie | Islanders | 2022 | 75 | ||
Seamus Casey | Islanders | 2022 | 43 | ||
Thimo Nickl | Islanders | 2020 | 157 | ||
Todd Burgess | Islanders | 2016 | 96 | ||
Topi Ronni | Islanders | 2022 | 71 | ||
Tyler Wall | Islanders | 2016 | 203 | Link | |
Veeti Louhivaara | Islanders | 2024 | 157 | ||
Vinzenz Rohrer | Islanders | 2022 | 73 | ||
Yegor Naumov | Islanders | 2021 | 209 | ||
Zac Funk | Islanders | 2024 | 89 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alfons Freij | Islanders | 2024 | 35 | ||
Andrei Loshko | Islanders | 2023 | 117 | ||
Andrew Basha | Islanders | 2024 | 34 | ||
Artyom Levshunov | Islanders | 2024 | 3 | ||
Benjamin Roger | Islanders | 2021 | 42 | ||
Blake Montgomery | Islanders | 2024 | 93 | ||
Blake Siebenaler | Islanders | Link | |||
Carsen Musser | Islanders | 2023 | 160 | ||
Chase Cheslock | Islanders | 2023 | 179 | ||
Cole Hults | Islanders | Link | |||
Conner Roulette | Islanders | 2021 | 88 | ||
Dalyn Wakely | Islanders | 2024 | 147 | ||
Daniel Hauser | Islanders | 2022 | 219 | ||
Dean Kukan | Islanders | Link | |||
Deni Goure | Islanders | 2024 | 180 | ||
Dominik Badinka | Islanders | 2024 | 28 | ||
Fedor Gordeev | Islanders | 2017 | 177 | ||
Gabe Smith | Islanders | 2024 | 102 | ||
Hagen Burrows | Islanders | 2024 | 119 | ||
Henry Mews | Islanders | 2024 | 58 | ||
Hugo Gabrielson | Islanders | 2021 | 207 | ||
Jack Kopacka | Islanders | Link | |||
Jake Chiasson | Islanders | 2021 | 114 | ||
Jake Fisher | Islanders | 2024 | 135 | ||
Jonathan Morello | Islanders | 2024 | 205 | ||
Justin Ertel | Islanders | 2021 | 85 | ||
Linus Soderstrom | Islanders | 2014 | 82 | ||
Lucas Pettersson | Islanders | 2024 | 36 | ||
Lukas Fischer | Islanders | 2024 | 66 | ||
Marek Alscher | Islanders | 2022 | 114 | ||
Matthew Andonovski | Islanders | 2023 | 171 | ||
Matthew Morden | Islanders | 2022 | 156 | ||
Maxim Barbashev | Islanders | 2022 | 139 | ||
Niilopekka Muhonen | Islanders | 2024 | 130 | ||
Oscar Eklind | Islanders | 2024 | 194 | ||
Radovan Bondra | Islanders | 2015 | 117 | ||
Ryerson Leenders | Islanders | 2024 | 161 | ||
Sam Sedley | Islanders | 2024 | 94 | ||
Samuel Savoie | Islanders | 2022 | 75 | ||
Seamus Casey | Islanders | 2022 | 43 | ||
Thimo Nickl | Islanders | 2020 | 157 | ||
Todd Burgess | Islanders | 2016 | 96 | ||
Topi Ronni | Islanders | 2022 | 71 | ||
Tyler Wall | Islanders | 2016 | 203 | Link | |
Veeti Louhivaara | Islanders | 2024 | 157 | ||
Vinzenz Rohrer | Islanders | 2022 | 73 | ||
Yegor Naumov | Islanders | 2021 | 209 | ||
Zac Funk | Islanders | 2024 | 89 |
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