|
|
|
|
|
|
Full Scoreboard »» |
New York Islanders 13-11-0, 26pts · 11th in EASTERN CONFERENCE |
# | Player | POS | CON | HT | WT | Age | DOB | POB | Contract | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C/W | 98% | 6' 1" | 207 | 34 | Feb 07, 1991 | $9,350,000/4yrs | 55 | 30 | 99 | 89 | 79 | 87 | 86 | 95 | 97 | 95 | 89 | 90 | 76 | 99 | 99 | 14 | 61 | 84 | |
0 | ![]() | C/W | 100% | 5' 9" | 176 | 36 | May 11, 1988 | $5,650,000/1yrs | 93 | 83 | 57 | 81 | 63 | 75 | 78 | 92 | 25 | 96 | 96 | 87 | 80 | 99 | 99 | 1 | 50 | 82 | |
0 | ![]() | C | 100% | 6' 2" | 201 | 36 | Apr 29, 1988 | $6,000,000/4yrs | 95 | 84 | 56 | 89 | 78 | 61 | 88 | 95 | 91 | 94 | 85 | 83 | 84 | 99 | 99 | 1 | 61 | 82 | |
0 | ![]() | LW/RW | 100% | 6' 1" | 215 | 32 | Nov 23, 1992 | $8,500,000/6yrs | 94 | 86 | 56 | 91 | 82 | 80 | 80 | 96 | 25 | 89 | 91 | 81 | 76 | 99 | 99 | 28 | 58 | 82 | |
0 | ![]() | LW/RW | 100% | 6' 0" | 172 | 29 | Feb 14, 1996 | $4,000,000/1yrs | 76 | 49 | 77 | 97 | 65 | 73 | 87 | 87 | 25 | 92 | 83 | 72 | 81 | 96 | 98 | 58 | 61 | 79 | |
0 | ![]() | LW/RW | 100% | 6' 3" | 224 | 30 | May 07, 1994 | $4,750,000/5yrs | 95 | 90 | 55 | 88 | 88 | 81 | 79 | 91 | 25 | 77 | 80 | 80 | 72 | 99 | 99 | 44 | 61 | 79 | |
0 | ![]() | LW/RW | 100% | 5' 11" | 192 | 32 | May 11, 1992 | $5,450,000/6yrs | 83 | 57 | 76 | 82 | 71 | 86 | 81 | 85 | 31 | 88 | 93 | 77 | 75 | 92 | 92 | 31 | 61 | 79 | |
0 | ![]() | C/LW | 100% | 5' 11" | 179 | 30 | Oct 13, 1994 | $750,050/1yrs | 52 | 30 | 97 | 81 | 66 | 89 | 79 | 81 | 82 | 75 | 73 | 79 | 65 | 99 | 96 | 46 | 61 | 74 | |
0 | ![]() | C/W | 100% | 6' 1" | 172 | 23 | Jun 26, 2001 | $700,000/5yrs | 54 | 50 | 75 | 89 | 66 | 78 | 87 | 85 | 71 | 83 | 78 | 79 | 64 | 62 | 60 | 84 | 61 | 74 | |
0 | ![]() | C/LW | 100% | 6' 0" | 185 | 30 | Aug 15, 1994 | $1,250,000/1yrs | 77 | 52 | 83 | 68 | 70 | 67 | 83 | 74 | 78 | 77 | 71 | 87 | 25 | 99 | 99 | 36 | 61 | 73 | |
34 | ![]() | LW/RW | 100% | 5' 4" | 169 | 24 | Jan 11, 2001 | $750,050/1yrs | 52 | 51 | 94 | 92 | 56 | 76 | 95 | 79 | 66 | 73 | 79 | 81 | 68 | 64 | 64 | 73 | 61 | 73 | |
0 | ![]() | D | 100% | 6' 4" | 224 | 31 | Jan 20, 1994 | $8,000,000/3yrs | 88 | 67 | 67 | 84 | 89 | 83 | 76 | 89 | 25 | 78 | 71 | 81 | 66 | 99 | 99 | 36 | 62 | 79 | |
0 | ![]() | D | 100% | 6' 1" | 200 | 34 | Aug 16, 1990 | $4,385,000/5yrs | 95 | 87 | 56 | 78 | 76 | 80 | 76 | 84 | 25 | 74 | 62 | 94 | 62 | 99 | 99 | 10 | 61 | 79 | |
0 | ![]() | D | 100% | 6' 3" | 190 | 35 | Mar 07, 1990 | $4,450,000/6yrs | 92 | 68 | 65 | 79 | 75 | 85 | 85 | 83 | 25 | 64 | 60 | 90 | 58 | 99 | 99 | 9 | 61 | 79 | |
44 | ![]() | D | 100% | 6' 5" | 222 | 33 | Jan 07, 1992 | $4,750,500/5yrs | 95 | 86 | 56 | 76 | 89 | 82 | 76 | 83 | 25 | 65 | 57 | 91 | 59 | 99 | 99 | 29 | 51 | 79 | |
0 | ![]() | D | 100% | 6' 5" | 218 | 33 | Mar 31, 1992 | $4,450,000/6yrs | 92 | 63 | 77 | 76 | 88 | 78 | 98 | 72 | 25 | 50 | 49 | 97 | 25 | 97 | 95 | 20 | 61 | 79 | |
0 | ![]() | D | 100% | 6' 2" | 196 | 31 | Feb 27, 1994 | $4,875,000/3yrs | 69 | 43 | 80 | 85 | 76 | 93 | 82 | 95 | 25 | 76 | 54 | 94 | 53 | 73 | 74 | 40 | 61 | 78 | |
Scratches | |||||||||||||||||||||||||||
0 | ![]() | C/W | 93% | 6' 4" | 220 | 26 | Dec 02, 1998 | $1,250,000/3yrs | 93 | 95 | 57 | 82 | 88 | 69 | 55 | 82 | 84 | 79 | 83 | 79 | 66 | 77 | 75 | 64 | 53 | 74 | |
0 | ![]() | C/W | 100% | 6' 2" | 208 | 35 | Mar 25, 1990 | $800,500/1yrs | 55 | 39 | 96 | 76 | 81 | 93 | 76 | 78 | 87 | 69 | 68 | 77 | 65 | 99 | 99 | 15 | 26 | 73 | |
0 | ![]() | D | 100% | 5' 11" | 194 | 29 | Dec 30, 1995 | $950,000/5yrs | 60 | 26 | 93 | 75 | 72 | 80 | 50 | 92 | 25 | 89 | 83 | 81 | 57 | 89 | 80 | 55 | 26 | 74 |
# | Goalie | Pos | Condition | HT | WT | Age | DOB | POB | Contract | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | G | 100% | 6' 1" | 210 | 33 | Apr 15, 1992 | $875,000/1yrs | 77 | 82 | 80 | 80 | 79 | 93 | 91 | 93 | 92 | 82 | 78 | 95 | 99 | 35 | 67 | 85 | |
31 | ![]() | G | 100% | 6' 2" | 170 | 25 | Oct 13, 1999 | $1,250,000/4yrs | 82 | 82 | 76 | 66 | 75 | 98 | 97 | 97 | 97 | 76 | 74 | 80 | 78 | 67 | 62 | 83 | |
Scratches |
General Manager | Scott McCracken |
---|
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 | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan OReilly | 0 | C/LW/RW | 24 | 13 | 15 | 28 | 7 | 0 | 0 | 1 | 91 | 22 | 63 | 14.29% | 4 | 19.14 | 5 | 1 | 6 | 75 | 1 | 0 | 1 | 51 | 0 | 1 | 54.92% | 559 | 0 | 0 | 0 | 1 | 1.22 | 0 | 0 | |
2 | Gabriel Landeskog | 0 | LW/RW | 24 | 9 | 17 | 26 | 8 | 25 | 5 | 79 | 78 | 14 | 59 | 11.54% | 2 | 16.08 | 1 | 4 | 5 | 71 | 0 | 0 | 0 | 0 | 2 | 0 | 21.21% | 33 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | |
3 | Mike Matheson | 0 | D | 24 | 5 | 15 | 20 | 2 | 0 | 0 | 8 | 27 | 17 | 19 | 18.52% | 23 | 19.87 | 2 | 2 | 4 | 72 | 0 | 0 | 0 | 7 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
4 | Nikolaj Ehlers | 0 | LW/RW | 24 | 8 | 9 | 17 | 0 | 4 | 0 | 6 | 73 | 14 | 43 | 10.96% | 2 | 16.48 | 0 | 6 | 6 | 72 | 0 | 0 | 0 | 2 | 0 | 1 | 25.00% | 28 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
5 | Josh Anderson | 0 | LW/RW | 24 | 3 | 12 | 15 | -4 | 18 | 0 | 44 | 64 | 24 | 49 | 4.69% | 3 | 16.16 | 1 | 5 | 6 | 74 | 0 | 0 | 0 | 11 | 0 | 0 | 18.18% | 22 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
6 | Jonathan Toews | 0 | C | 24 | 5 | 9 | 14 | 1 | 24 | 0 | 71 | 71 | 17 | 57 | 7.04% | 4 | 16.11 | 1 | 1 | 2 | 69 | 0 | 0 | 0 | 0 | 1 | 0 | 56.49% | 485 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
7 | Hampus Lindholm | 0 | D | 24 | 3 | 11 | 14 | 11 | 23 | 5 | 31 | 18 | 8 | 14 | 16.67% | 21 | 18.07 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 38 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
8 | Bryan Rust | 0 | LW/RW | 24 | 7 | 5 | 12 | 8 | 2 | 0 | 9 | 49 | 15 | 37 | 14.29% | 1 | 16.54 | 2 | 0 | 2 | 74 | 0 | 0 | 0 | 0 | 4 | 0 | 27.27% | 33 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
9 | Henry Rybinski | 0 | C/LW/RW | 24 | 2 | 10 | 12 | 0 | 0 | 0 | 1 | 47 | 15 | 39 | 4.26% | 0 | 15.98 | 0 | 4 | 4 | 71 | 0 | 0 | 0 | 0 | 0 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
10 | Brad Marchand | 0 | C/LW/RW | 24 | 2 | 8 | 10 | -3 | 20 | 0 | 30 | 49 | 19 | 41 | 4.08% | 1 | 14.76 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 45 | 1 | 0 | 24.14% | 29 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
11 | Travis Hamonic | 0 | D | 24 | 4 | 6 | 10 | -1 | 46 | 0 | 86 | 33 | 9 | 18 | 12.12% | 32 | 21.08 | 2 | 3 | 5 | 73 | 0 | 0 | 0 | 88 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
12 | Hunter Shinkaruk | 0 | C/LW | 24 | 2 | 6 | 8 | 4 | 0 | 0 | 0 | 21 | 4 | 26 | 9.52% | 3 | 10.44 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 103 | 0 | 0 | 54.19% | 310 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
13 | Danny DeKeyser | 0 | D | 24 | 3 | 5 | 8 | 9 | 24 | 0 | 76 | 21 | 6 | 9 | 14.29% | 33 | 18.93 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 105 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
14 | Nathan Legare | 34 | LW/RW | 24 | 3 | 4 | 7 | 3 | 0 | 0 | 2 | 29 | 8 | 23 | 10.34% | 3 | 10.22 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 99 | 0 | 0 | 42.11% | 19 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
15 | Morgan Barron | 0 | C/LW/RW | 24 | 4 | 3 | 7 | -3 | 19 | 5 | 26 | 43 | 9 | 28 | 9.30% | 3 | 15.15 | 0 | 1 | 1 | 72 | 0 | 0 | 0 | 0 | 1 | 0 | 48.84% | 387 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
16 | Jani Hakanpaa | 0 | D | 24 | 1 | 4 | 5 | -1 | 22 | 0 | 32 | 11 | 2 | 7 | 9.09% | 35 | 18.65 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 98 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
17 | Teddy Blueger | 0 | C/LW | 24 | 3 | 0 | 3 | 3 | 8 | 0 | 23 | 16 | 2 | 7 | 18.75% | 2 | 10.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 1 | 0 | 47.73% | 176 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
18 | Erik Gudbranson | 44 | D | 24 | 0 | 1 | 1 | -2 | 24 | 0 | 68 | 13 | 2 | 3 | 0.00% | 36 | 17.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | |
Team Total or Average | 432 | 77 | 140 | 217 | 42 | 259 | 15 | 593 | 754 | 207 | 542 | 10.21% | 208 | 16.17 | 14 | 27 | 41 | 742 | 1 | 2 | 3 | 826 | 13 | 5 | 51.00% | 2102 | 0 | 0 | 0 | 1 | 0.62 | 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 |
# | Goalie Name | Team Name | GP | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matthew Villalta | 24 | 24 | 13 | 10 | 0 | 0.910 | 2.86 | -3.5 | 1408 | 6 | 1 | 67 | 747 | 0 | 1 | 0 | 0.000 | 0 | 24 | 0 | 0 | 2 | 0 | |
2 | Calvin Pickard | 1 | 0 | 0 | 1 | 0 | 0.857 | 5.63 | -1.2 | 32 | 0 | 0 | 3 | 21 | 0 | 0 | 0 | 0.000 | 0 | 0 | 24 | 0 | 0 | 0 | |
Team Total or Average | 25 | 24 | 13 | 11 | 0 | 0.909 | 2.92 | 1440 | 6 | 1 | 70 | 768 | 0 | 1 | 0 | 0.000 | 0 | 24 | 24 | 0 | 2 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 9 | 4 | 1.000 | 10 | 20 | 30 | 0 | 1 | 3 | 1 | 6 | 0 | 69 | 20 | 22 | 27 | 0 | 45 | 17 | 18 | 47 | 14 | 2 | 14.29% | 8 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 52 | 37 | 43 | 15 | 24 | 13 | 88.9% | 14.5% | 97.8% | 112.3 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 10 | 10 | 6 | 0 | 39 | 15 | 18 | 24 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 20 | 13 | 26 | 7 | 12 | 5 | 100.0% | 11.5% | 94.9% | 106.4 | LUCKY | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 13 | 12 | 0 | 37 | 7 | 17 | 28 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 17 | 24 | 6 | 11 | 5 | 40.0% | 6.1% | 86.5% | 92.5 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 3 | 1 | 0 | 37 | 14 | 12 | 11 | 0 | 31 | 5 | 6 | 16 | 9 | 4 | 44.44% | 2 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 25 | 17 | 21 | 6 | 13 | 6 | 40.0% | 16.2% | 90.3% | 106.5 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 1 | 4 | 3 | 0 | 76 | 23 | 23 | 30 | 0 | 61 | 10 | 26 | 52 | 4 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 48 | 33 | 45 | 15 | 25 | 12 | 66.7% | 10.5% | 86.9% | 97.4 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 23 | 10 | 6 | 7 | 0 | 34 | 15 | 14 | 30 | 5 | 2 | 40.00% | 7 | 1 | 85.71% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 21 | 14 | 26 | 7 | 12 | 6 | 66.7% | 17.4% | 94.1% | 111.5 | LUCKY | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 58 | 24 | 20 | 14 | 0 | 64 | 20 | 20 | 58 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 46 | 31 | 47 | 14 | 25 | 13 | 44.4% | 8.6% | 90.6% | 99.2 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 30 | 12 | 7 | 11 | 0 | 31 | 9 | 15 | 26 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 14 | 24 | 7 | 12 | 7 | 66.7% | 13.3% | 93.5% | 106.9 | LUCKY | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 62 | 23 | 15 | 24 | 0 | 62 | 15 | 21 | 59 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 44 | 31 | 51 | 13 | 23 | 10 | 58.3% | 12.9% | 91.9% | 104.8 | LUCKY | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0.333 | 9 | 15 | 24 | 0 | 0 | 3 | 2 | 4 | 0 | 101 | 35 | 30 | 36 | 0 | 114 | 26 | 30 | 83 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 64 | 43 | 77 | 22 | 37 | 18 | 43.8% | 8.9% | 89.5% | 98.4 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 16 | 7 | 10 | 0 | 31 | 9 | 8 | 11 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 25 | 17 | 22 | 7 | 11 | 6 | 25.0% | 6.1% | 87.1% | 93.2 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 9 | 8 | 7 | 0 | 31 | 4 | 6 | 24 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 17 | 24 | 6 | 11 | 5 | 40.0% | 8.3% | 90.3% | 98.7 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 9 | 11 | 8 | 0 | 32 | 8 | 12 | 28 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 15 | 24 | 8 | 12 | 5 | 40.0% | 7.1% | 87.5% | 94.6 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 13 | 13 | 7 | 0 | 41 | 11 | 8 | 16 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 21 | 13 | 25 | 8 | 12 | 6 | 33.3% | 3.0% | 95.1% | 98.2 | DULL | |
15 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 21 | 12 | 5 | 3 | 1 | 32 | 13 | 14 | 15 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 1 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 20 | 13 | 28 | 8 | 13 | 6 | 60.0% | 14.3% | 93.8% | 108.0 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 40 | 13 | 7 | 20 | 0 | 27 | 6 | 10 | 25 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 27 | 20 | 20 | 6 | 12 | 6 | 75.0% | 7.5% | 96.3% | 103.8 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 33 | 8 | 18 | 7 | 0 | 30 | 10 | 10 | 27 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 24 | 16 | 22 | 7 | 13 | 6 | 40.0% | 6.1% | 86.7% | 92.7 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 27 | 10 | 8 | 9 | 0 | 26 | 8 | 12 | 24 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 22 | 15 | 24 | 7 | 12 | 5 | 33.3% | 11.1% | 84.6% | 95.7 | FUN | |
_Vs Division | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 2 | 2 | 4 | 0 | 99 | 31 | 30 | 38 | 0 | 103 | 28 | 45 | 77 | 7 | 0 | 0.00% | 18 | 4 | 77.78% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 71 | 50 | 71 | 20 | 36 | 18 | 66.7% | 8.1% | 92.2% | 100.3 | DULL | |
_Vs Conference | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 24 | 2 | 10 | 0.625 | 26 | 44 | 70 | 0 | 0 | 7 | 9 | 10 | 0 | 261 | 86 | 76 | 99 | 0 | 257 | 57 | 98 | 212 | 17 | 1 | 5.88% | 42 | 8 | 80.95% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 188 | 133 | 194 | 55 | 97 | 47 | 61.0% | 10.0% | 90.7% | 100.6 | FUN | |
_Since Last GM Reset | 24 | 12 | 11 | 0 | 1 | 0 | 0 | 0 | 77 | 70 | 7 | 26 | 0.542 | 77 | 140 | 217 | 0 | 1 | 24 | 22 | 30 | 1 | 754 | 269 | 235 | 249 | 1 | 768 | 208 | 265 | 593 | 84 | 14 | 16.67% | 120 | 16 | 86.67% | 1 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 560 | 383 | 583 | 175 | 300 | 149 | 53.8% | 10.2% | 90.9% | 101.1 | FUN | |
Total | 24 | 12 | 11 | 0 | 1 | 0 | 0 | 0 | 77 | 70 | 7 | 26 | 0.542 | 77 | 140 | 217 | 0 | 1 | 24 | 22 | 30 | 1 | 754 | 269 | 235 | 249 | 1 | 768 | 208 | 265 | 593 | 84 | 14 | 16.67% | 120 | 16 | 86.67% | 1 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 560 | 383 | 583 | 175 | 300 | 149 | 53.8% | 10.2% | 90.9% | 101.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 847 |
Neutral Zone Start | 376 |
Defensive Zone Start | 877 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1072 |
Faceoffs Lost | 1028 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 31.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 62 |
---|---|
PP Goal | 14 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 3 |
Lost | 3 | 8 |
Overtime Lost | 0 | 0 |
PP Attempt | 84 |
---|---|
PP Goal | 14 |
PK Attempt | 120 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 31.4 |
Shots Against | 32.0 |
Goals For | 3.2 |
Goals Against | 2.9 |
Hits | 24.7 |
Shots Blocked | 8.7 |
Pim | 11.0 |
![]() | |
Projected Total Cap Hit | $81,986,350 |
Projected Cap Space | $1,513,650 |
Retains And Buyout Cap Hit | $50,250 |
Players In Salary Cap | 21 |
Contracts | 47/55 |
LTIR Players | 1 |
Prospect Count | 12 |
Islanders Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Brad Marchand | C/LW/RW | 36 | $5,650,000 | |||||||
Bryan Rust | LW/RW | 32 | $5,450,000 | $5,450,000 | $5,450,000 | $5,450,000 | $5,450,000 | $5,450,000 | ||
Calvin Pickard | G | 33 | $875,000 | |||||||
Danny DeKeyser | D | 35 | $4,450,000 | $4,450,000 | $4,450,000 | $4,450,000 | $4,450,000 | $4,450,000 | ||
Erik Gudbranson | D | 33 | $4,750,500 | $4,750,500 | $4,750,500 | $4,750,500 | $4,750,500 | |||
Gabriel Landeskog | LW/RW | 32 | $8,500,000 | $8,500,000 | $8,500,000 | $8,500,000 | $8,500,000 | $8,500,000 | ||
Hampus Lindholm | D | 31 | $8,000,000 | $8,000,000 | $8,000,000 | |||||
Henry Rybinski | C/LW/RW | 23 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | |||
Hunter Shinkaruk | C/LW | 30 | $750,050 | |||||||
Jani Hakanpaa | D | 33 | $4,450,000 | $4,450,000 | $4,450,000 | $4,450,000 | $4,450,000 | $4,450,000 | ||
Jonathan Toews | C | 36 | $6,000,000 | $6,000,000 | $6,000,000 | $6,000,000 | ||||
Josh Anderson | LW/RW | 30 | $4,750,000 | $4,750,000 | $4,750,000 | $4,750,000 | $4,750,000 | |||
Lance Bouma | C/LW/RW | 35 | $800,500 | |||||||
Lawrence Pilut | D | 29 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | |||
Matthew Villalta | G | 25 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | ||||
Mike Matheson | D | 31 | $4,875,000 | $4,875,000 | $4,875,000 | |||||
Morgan Barron | C/LW/RW | 26 | $1,250,000 | $1,250,000 | $1,250,000 | |||||
Nathan Legare | LW/RW | 24 | $750,050 | |||||||
Nikolaj Ehlers | LW/RW | 29 | $4,000,000 | |||||||
Ryan OReilly | C/LW/RW | 34 | $9,350,000 | $9,350,000 | $9,350,000 | $9,350,000 | ||||
Teddy Blueger | C/LW | 30 | $1,250,000 | |||||||
Travis Hamonic | D | 34 | $4,385,000 | $4,385,000 | $4,385,000 | $4,385,000 | $4,385,000 |
Islanders Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Alex Holtz | LW/RW | 23 | $775,000 | $775,000 | $775,000 | $775,000 | $775,000 | $775,000 | ||
Anton Karlsson | LW/RW | 28 | $750,500 | |||||||
Chad Yetman | C/RW | 25 | $1,000,000 | $1,000,000 | ||||||
Daniel Renouf | D | 30 | $750,500 | |||||||
Dylan Wells | G | 27 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | ||
Freddie Hamilton | C/RW | 33 | $750,050 | |||||||
Jake Middleton | D | 29 | $850,000 | |||||||
Jason Kasdorf | G | 32 | $750,050 | |||||||
Juuso Parssinen | C/RW | 24 | $925,000 | $925,000 | ||||||
Lassi Thomson | D | 24 | $850,000 | $850,000 | $850,000 | $850,000 | $850,000 | |||
Michael Frolik | C/RW | 37 | $750,050 | |||||||
Michael Garteig | G | 33 | $700,000 | |||||||
Nicolas Deslauriers | LW/RW | 34 | $1,250,000 | $1,250,000 | ||||||
Niko Huuhtanen | RW | 21 | $950,000 | |||||||
Noah Cates | LW | 26 | $2,625,000 | |||||||
Oliver Bonk | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Pavel Gogolev | LW/RW | 25 | $891,042 | $891,042 | ||||||
Quinn Schmiemann | D | 23 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | |||
Riley Nash | C/RW | 35 | $1,000,000 | $1,000,000 | ||||||
Ryan White | C/RW | 37 | $750,050 | |||||||
Ryker Evans | D | 23 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | ||
Tye McGinn | LW | 34 | $750,050 | |||||||
Ville Ottavainen | D | 22 | $950,000 | |||||||
Will ONeill | D | 36 | $700,005 | |||||||
Yegor Zamula | D | 25 | $950,000 |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
| ||||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 9 | 4 | 1.000 | 10 | 20 | 30 | 0 | 1 | 3 | 1 | 6 | 0 | 69 | 20 | 22 | 27 | 0 | 45 | 17 | 18 | 47 | 14 | 2 | 14.29% | 8 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 52 | 37 | 43 | 15 | 24 | 13 | 88.9% | 14.5% | 97.8% | 112.3 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 10 | 10 | 6 | 0 | 39 | 15 | 18 | 24 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 20 | 13 | 26 | 7 | 12 | 5 | 100.0% | 11.5% | 94.9% | 106.4 | LUCKY | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 13 | 12 | 0 | 37 | 7 | 17 | 28 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 17 | 24 | 6 | 11 | 5 | 40.0% | 6.1% | 86.5% | 92.5 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 3 | 1 | 0 | 37 | 14 | 12 | 11 | 0 | 31 | 5 | 6 | 16 | 9 | 4 | 44.44% | 2 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 25 | 17 | 21 | 6 | 13 | 6 | 40.0% | 16.2% | 90.3% | 106.5 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 1 | 4 | 3 | 0 | 76 | 23 | 23 | 30 | 0 | 61 | 10 | 26 | 52 | 4 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 48 | 33 | 45 | 15 | 25 | 12 | 66.7% | 10.5% | 86.9% | 97.4 | FUN | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 23 | 10 | 6 | 7 | 0 | 34 | 15 | 14 | 30 | 5 | 2 | 40.00% | 7 | 1 | 85.71% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 21 | 14 | 26 | 7 | 12 | 6 | 66.7% | 17.4% | 94.1% | 111.5 | LUCKY | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 58 | 24 | 20 | 14 | 0 | 64 | 20 | 20 | 58 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 46 | 31 | 47 | 14 | 25 | 13 | 44.4% | 8.6% | 90.6% | 99.2 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 30 | 12 | 7 | 11 | 0 | 31 | 9 | 15 | 26 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 14 | 24 | 7 | 12 | 7 | 66.7% | 13.3% | 93.5% | 106.9 | LUCKY | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 62 | 23 | 15 | 24 | 0 | 62 | 15 | 21 | 59 | 3 | 1 | 33.33% | 8 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 44 | 31 | 51 | 13 | 23 | 10 | 58.3% | 12.9% | 91.9% | 104.8 | LUCKY | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0.333 | 9 | 15 | 24 | 0 | 0 | 3 | 2 | 4 | 0 | 101 | 35 | 30 | 36 | 0 | 114 | 26 | 30 | 83 | 10 | 2 | 20.00% | 14 | 3 | 78.57% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 64 | 43 | 77 | 22 | 37 | 18 | 43.8% | 8.9% | 89.5% | 98.4 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 16 | 7 | 10 | 0 | 31 | 9 | 8 | 11 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 25 | 17 | 22 | 7 | 11 | 6 | 25.0% | 6.1% | 87.1% | 93.2 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 9 | 8 | 7 | 0 | 31 | 4 | 6 | 24 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 17 | 24 | 6 | 11 | 5 | 40.0% | 8.3% | 90.3% | 98.7 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 9 | 11 | 8 | 0 | 32 | 8 | 12 | 28 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 23 | 15 | 24 | 8 | 12 | 5 | 40.0% | 7.1% | 87.5% | 94.6 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 13 | 13 | 7 | 0 | 41 | 11 | 8 | 16 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 21 | 13 | 25 | 8 | 12 | 6 | 33.3% | 3.0% | 95.1% | 98.2 | DULL | |
15 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 21 | 12 | 5 | 3 | 1 | 32 | 13 | 14 | 15 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 1 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 20 | 13 | 28 | 8 | 13 | 6 | 60.0% | 14.3% | 93.8% | 108.0 | LUCKY | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 40 | 13 | 7 | 20 | 0 | 27 | 6 | 10 | 25 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 27 | 20 | 20 | 6 | 12 | 6 | 75.0% | 7.5% | 96.3% | 103.8 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 33 | 8 | 18 | 7 | 0 | 30 | 10 | 10 | 27 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 24 | 16 | 22 | 7 | 13 | 6 | 40.0% | 6.1% | 86.7% | 92.7 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 27 | 10 | 8 | 9 | 0 | 26 | 8 | 12 | 24 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 22 | 15 | 24 | 7 | 12 | 5 | 33.3% | 11.1% | 84.6% | 95.7 | FUN | |
_Vs Division | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 2 | 2 | 4 | 0 | 99 | 31 | 30 | 38 | 0 | 103 | 28 | 45 | 77 | 7 | 0 | 0.00% | 18 | 4 | 77.78% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 71 | 50 | 71 | 20 | 36 | 18 | 66.7% | 8.1% | 92.2% | 100.3 | DULL | |
_Vs Conference | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 24 | 2 | 10 | 0.625 | 26 | 44 | 70 | 0 | 0 | 7 | 9 | 10 | 0 | 261 | 86 | 76 | 99 | 0 | 257 | 57 | 98 | 212 | 17 | 1 | 5.88% | 42 | 8 | 80.95% | 0 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 188 | 133 | 194 | 55 | 97 | 47 | 61.0% | 10.0% | 90.7% | 100.6 | FUN | |
_Since Last GM Reset | 24 | 12 | 11 | 0 | 1 | 0 | 0 | 0 | 77 | 70 | 7 | 26 | 0.542 | 77 | 140 | 217 | 0 | 1 | 24 | 22 | 30 | 1 | 754 | 269 | 235 | 249 | 1 | 768 | 208 | 265 | 593 | 84 | 14 | 16.67% | 120 | 16 | 86.67% | 1 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 560 | 383 | 583 | 175 | 300 | 149 | 53.8% | 10.2% | 90.9% | 101.1 | FUN | |
Total | 24 | 12 | 11 | 0 | 1 | 0 | 0 | 0 | 77 | 70 | 7 | 26 | 0.542 | 77 | 140 | 217 | 0 | 1 | 24 | 22 | 30 | 1 | 754 | 269 | 235 | 249 | 1 | 768 | 208 | 265 | 593 | 84 | 14 | 16.67% | 120 | 16 | 86.67% | 1 | 435 | 847 | 51.36% | 434 | 877 | 49.49% | 203 | 376 | 53.99% | 560 | 383 | 583 | 175 | 300 | 149 | 53.8% | 10.2% | 90.9% | 101.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 847 |
Neutral Zone Start | 376 |
Defensive Zone Start | 877 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1072 |
Faceoffs Lost | 1028 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 31.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 62 |
---|---|
PP Goal | 14 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 3 |
Lost | 3 | 8 |
Overtime Lost | 0 | 0 |
PP Attempt | 84 |
---|---|
PP Goal | 14 |
PK Attempt | 120 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 31.4 |
Shots Against | 32.0 |
Goals For | 3.2 |
Goals Against | 2.9 |
Hits | 24.7 |
Shots Blocked | 8.7 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Mar 22 | @ | COL2,NYI4 | RECAP | |||||||||||
Mon, Mar 24 | @ | CGY1,NYI5 | RECAP | |||||||||||
Wed, Mar 26 | @ | NYI2,STL5 | RECAP | |||||||||||
Sat, Mar 29 | @ | DET7,NYI4 | RECAP | |||||||||||
Sun, Mar 30 | @ | NYI4,STL3 | RECAP | |||||||||||
Wed, Apr 2 | @ | NYI2,SJS4 | RECAP | |||||||||||
Thu, Apr 3 | @ | NYI3,STL4 | RECAP | |||||||||||
Sat, Apr 5 | @ | DET1,NYI4 | RECAP | |||||||||||
Tue, Apr 8 | @ | NYI3,PHI2 | RECAP | |||||||||||
Wed, Apr 9 | @ | CGY0,NYI5 | RECAP | |||||||||||
Fri, Apr 11 | @ | NYI1,WPG2 | RECAP | |||||||||||
Sun, Apr 13 | @ | VAN3,NYI6 | RECAP | |||||||||||
Wed, Apr 16 | @ | TBL3,NYI5 | RECAP | |||||||||||
Sat, Apr 19 | @ | NYI4,MIN2 | RECAP | |||||||||||
Mon, Apr 21 | @ | CHI4,NYI2 | RECAP | |||||||||||
Wed, Apr 23 | @ | NYI1,COL4 | RECAP | |||||||||||
Fri, Apr 25 | @ | PIT1,NYI3 | RECAP | |||||||||||
Tue, Apr 29 | @ | NSH2,NYI4 | RECAP | |||||||||||
Fri, May 2 | @ | NYI2,UTA4 | RECAP | |||||||||||
Sun, May 4 | @ | TBL2,NYI3 | RECAP | |||||||||||
Tue, May 6 | @ | NYI2,NJD5 | RECAP | |||||||||||
Thu, May 8 | @ | DAL2,NYI3 (OT) | RECAP | |||||||||||
Sun, May 11 | @ | NYI3,VGK4 | RECAP | |||||||||||
Mon, May 12 | @ | BUF3,NYI2 | RECAP | |||||||||||
Thu, May 15 | @ | |||||||||||||
Fri, May 16 | @ | |||||||||||||
Mon, May 19 | @ | |||||||||||||
Tue, May 20 | @ | |||||||||||||
Sun, May 25 | @ | |||||||||||||
Tue, May 27 | @ | |||||||||||||
Thu, May 29 | @ | |||||||||||||
Sat, May 31 | @ | |||||||||||||
Mon, Jun 2 | @ | |||||||||||||
Wed, Jun 4 | @ | |||||||||||||
Sat, Jun 7 | @ | |||||||||||||
Mon, Jun 9 | @ | |||||||||||||
Wed, Jun 11 | @ | |||||||||||||
Thu, Jun 12 | @ | |||||||||||||
Sat, Jun 14 | @ | |||||||||||||
Tue, Jun 17 | @ | |||||||||||||
Thu, Jun 19 | @ | |||||||||||||
Sat, Jun 21 | @ | |||||||||||||
Mon, Jun 23 | @ | |||||||||||||
Wed, Jun 25 | @ | |||||||||||||
Fri, Jun 27 | @ | |||||||||||||
Sun, Jun 29 | @ | |||||||||||||
Tue, Jul 1 | @ | |||||||||||||
Thu, Jul 3 | @ | |||||||||||||
Sat, Jul 5 | @ | |||||||||||||
Mon, Jul 7 | @ | |||||||||||||
Wed, Jul 9 | @ | |||||||||||||
Fri, Jul 11 | @ | |||||||||||||
Sun, Jul 13 | @ | |||||||||||||
Mon, Jul 14 | @ | |||||||||||||
Thu, Jul 17 | @ | |||||||||||||
Sat, Jul 19 | @ | |||||||||||||
Tue, Jul 22 | @ | |||||||||||||
Wed, Jul 23 | @ | |||||||||||||
Sun, Jul 27 | @ | |||||||||||||
Tue, Jul 29 | @ | |||||||||||||
Fri, Aug 1 | @ | |||||||||||||
Sun, Aug 3 | @ | |||||||||||||
Tue, Aug 5 | @ | |||||||||||||
Wed, Aug 6 | @ | |||||||||||||
Sat, Aug 9 | @ | |||||||||||||
Mon, Aug 11 | @ | |||||||||||||
Wed, Aug 13 | @ | |||||||||||||
Fri, Aug 15 | @ | |||||||||||||
Sat, Aug 16 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Tue, Aug 19 | @ | |||||||||||||
Wed, Aug 20 | @ | |||||||||||||
Sat, Aug 23 | @ | |||||||||||||
Mon, Aug 25 | @ | |||||||||||||
Thu, Aug 28 | @ | |||||||||||||
Sat, Aug 30 | @ | |||||||||||||
Mon, Sep 1 | @ | |||||||||||||
Wed, Sep 3 | @ | |||||||||||||
Thu, Sep 4 | @ | |||||||||||||
Sun, Sep 7 | @ | |||||||||||||
Tue, Sep 9 | @ | |||||||||||||
Sun, Sep 14 | @ | |||||||||||||
Mon, Sep 22 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,936,100$ | 50,250$ | 81,986,350$ | 1,513,650$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Barclays Center | |
City | New York | ||
Capacity | 18500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
|
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5500 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 45$ | 30$ | 200$ |
Attendance | 65570 | 61816 | 21815 | 43116 | 11067 |
Attendance PCT | 84.06% | 86.46% | 83.90% | 82.92% | 85.13% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 15645 - 84.57% | 1,691,094$ | 21,984,228$ | 18500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,936,100$ | 80,561,100$ | 0$ | 50,250$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,134,574$ | 81,936,100$ | 24,134,574$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
47,350,645$ | 134 | 433,524$ | 58,092,216$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
59,696,322$ | 81,986,350$ | 65,864,337$ | 58,562,966$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Round 1 | Round 2 | Round 3 |
---|---|---|---|
16 | ![]() | ![]() | |
17 | ![]() | ![]() | |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aaron Pionk | 14 | 95 | |||
Adam Edstrom | 10 | 84 | |||
Alex Jefferies | 8 | 92 | |||
Hiroki Gojsic | 15 | 63 | |||
Jakub Brabenec | 9 | 34 | |||
Mikhail Berdin | 4 | 78 | |||
Patrick Thomas | 13 | 63 | |||
Raivis Ansons | 9 | 47 | |||
Scott Ratzlaff | 14 | 88 | |||
Topi Ronni | 12 | 46 | |||
Tyson Jugnauth | 11 | 86 | |||
Vyacheslav Peksa | 10 | 89 |
Year | Ronde 1 | Ronde 2 | Ronde 3 |
---|---|---|---|
16 | ![]() | ![]() | |
17 | ![]() | ![]() | |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aaron Pionk | 14 | 95 | |||
Adam Edstrom | 10 | 84 | |||
Alex Jefferies | 8 | 92 | |||
Hiroki Gojsic | 15 | 63 | |||
Jakub Brabenec | 9 | 34 | |||
Mikhail Berdin | 4 | 78 | |||
Patrick Thomas | 13 | 63 | |||
Raivis Ansons | 9 | 47 | |||
Scott Ratzlaff | 14 | 88 | |||
Topi Ronni | 12 | 46 | |||
Tyson Jugnauth | 11 | 86 | |||
Vyacheslav Peksa | 10 | 89 |
|