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Full Scoreboard »» |
New York Islanders 19-15-1, 39pts · 6th 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 | 100% | 6' 1" | 207 | 33 | Feb 07, 1991 | $9,350,000/6yrs | 55 | 30 | 99 | 89 | 79 | 87 | 86 | 93 | 97 | 94 | 87 | 89 | 76 | 99 | 99 | 20 | 65 | 83 | |
0 | ![]() | C/LW | 100% | 6' 1" | 210 | 33 | Jan 16, 1991 | $6,000,000/2yrs | 55 | 34 | 95 | 91 | 80 | 84 | 80 | 90 | 95 | 91 | 87 | 65 | 78 | 99 | 99 | 17 | 65 | 80 | |
0 | ![]() | C/LW | 99% | 5' 11" | 191 | 33 | Mar 23, 1991 | $4,825,000/1yrs | 87 | 75 | 63 | 89 | 71 | 81 | 79 | 89 | 86 | 79 | 83 | 87 | 75 | 99 | 99 | 34 | 68 | 80 | |
0 | ![]() | LW/RW | 100% | 6' 0" | 172 | 28 | Feb 14, 1996 | $4,000,000/3yrs | 77 | 47 | 77 | 97 | 65 | 78 | 87 | 86 | 25 | 91 | 82 | 72 | 81 | 90 | 94 | 62 | 65 | 79 | |
0 | ![]() | LW/RW | 100% | 6' 3" | 224 | 30 | May 07, 1994 | $4,500,000/1yrs | 94 | 87 | 56 | 88 | 88 | 80 | 79 | 90 | 25 | 76 | 79 | 79 | 72 | 96 | 93 | 52 | 65 | 78 | |
0 | ![]() | LW/RW | 100% | 5' 11" | 192 | 32 | May 11, 1992 | $9,550,000/2yrs | 81 | 53 | 78 | 82 | 71 | 85 | 81 | 84 | 31 | 87 | 93 | 74 | 75 | 82 | 84 | 39 | 65 | 78 | |
0 | ![]() | C/W | 100% | 6' 1" | 185 | 28 | Jan 22, 1996 | $4,100,000/1yrs | 66 | 55 | 79 | 92 | 71 | 70 | 76 | 89 | 80 | 86 | 81 | 72 | 78 | 96 | 95 | 58 | 54 | 77 | |
0 | ![]() | LW/RW | 100% | 6' 3" | 234 | 36 | Apr 23, 1988 | $2,350,000/4yrs | 96 | 84 | 54 | 78 | 92 | 73 | 81 | 91 | 25 | 68 | 78 | 82 | 71 | 99 | 99 | 1 | 47 | 76 | |
0 | ![]() | LW/RW | 100% | 6' 4" | 180 | 28 | Jul 10, 1996 | $3,450,000/6yrs | 54 | 46 | 92 | 90 | 72 | 90 | 90 | 91 | 24 | 80 | 80 | 77 | 55 | 80 | 76 | 61 | 65 | 76 | |
0 | ![]() | LW | 100% | 6' 2" | 198 | 26 | Nov 24, 1997 | $750,000/1yrs | 93 | 92 | 53 | 85 | 77 | 72 | 95 | 74 | 60 | 76 | 76 | 77 | 71 | 68 | 68 | 65 | 30 | 73 | |
0 | ![]() | C/LW | 100% | 6' 5" | 216 | 26 | Feb 25, 1998 | $700,050/1yrs | 82 | 65 | 65 | 82 | 87 | 73 | 72 | 79 | 64 | 71 | 68 | 81 | 63 | 95 | 92 | 66 | 60 | 73 | |
0 | ![]() | LW/RW | 100% | 6' 1" | 187 | 27 | Aug 03, 1996 | $750,500/3yrs | 90 | 80 | 62 | 80 | 71 | 81 | 90 | 79 | 34 | 73 | 69 | 83 | 41 | 80 | 78 | 60 | 59 | 73 | |
0 | ![]() | D | 100% | 5' 9" | 194 | 33 | Apr 21, 1991 | $6,169,000/1yrs | 64 | 37 | 88 | 90 | 70 | 91 | 84 | 95 | 25 | 96 | 81 | 81 | 66 | 99 | 99 | 38 | 65 | 81 | |
0 | ![]() | D | 100% | 6' 1" | 200 | 33 | Aug 16, 1990 | $4,535,000/1yrs | 94 | 84 | 57 | 78 | 76 | 80 | 76 | 83 | 25 | 74 | 62 | 94 | 62 | 99 | 99 | 17 | 49 | 79 | |
0 | ![]() | D | 100% | 6' 3" | 190 | 34 | Mar 07, 1990 | $3,925,000/2yrs | 91 | 64 | 67 | 79 | 75 | 84 | 85 | 83 | 25 | 62 | 59 | 89 | 58 | 99 | 99 | 16 | 65 | 78 | |
0 | ![]() | D | 100% | 6' 5" | 218 | 32 | Mar 31, 1992 | $1,500,000/2yrs | 92 | 60 | 79 | 76 | 83 | 78 | 98 | 74 | 25 | 50 | 49 | 97 | 25 | 90 | 90 | 25 | 68 | 78 | |
0 | ![]() | D | 100% | 6' 2" | 196 | 30 | Feb 27, 1994 | $3,500,000/5yrs | 69 | 38 | 86 | 85 | 76 | 79 | 84 | 78 | 25 | 60 | 59 | 81 | 61 | 97 | 93 | 50 | 60 | 75 | |
0 | ![]() | D | 100% | 6' 4" | 225 | 32 | Apr 18, 1992 | $900,000/1yrs | 87 | 63 | 69 | 74 | 90 | 71 | 78 | 75 | 25 | 59 | 54 | 83 | 59 | 99 | 99 | 36 | 36 | 75 | |
Scratches | |||||||||||||||||||||||||||
0 | ![]() | C/LW | 100% | 6' 0" | 185 | 29 | Aug 15, 1994 | $1,250,000/3yrs | 80 | 53 | 81 | 68 | 70 | 68 | 83 | 76 | 78 | 79 | 73 | 88 | 25 | 90 | 90 | 45 | 55 | 73 | |
0 | ![]() | D | 100% | 5' 11" | 194 | 28 | Dec 30, 1995 | $1,500,000/1yrs | 63 | 26 | 91 | 75 | 72 | 80 | 50 | 90 | 25 | 88 | 80 | 82 | 57 | 84 | 77 | 58 | 50 | 73 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
35 | ![]() | G | 100% | 6' 3" | 217 | 27 | Feb 22, 1997 | $2,500,000/3yrs | 87 | 92 | 90 | 85 | 87 | 96 | 95 | 94 | 95 | 83 | 74 | 76 | 72 | 68 | 49 | 87 | |
0 | ![]() | G | 100% | 6' 3" | 203 | 31 | Mar 23, 1993 | $700,500/1yrs | 77 | 79 | 75 | 80 | 77 | 93 | 93 | 93 | 93 | 82 | 76 | 99 | 99 | 33 | 74 | 85 | |
Scratches |
General Manager | Scott McCracken |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | 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 | 35 | 21 | 25 | 46 | 12 | 0 | 0 | 1 | 132 | 40 | 107 | 15.91% | 9 | 17.94 | 5 | 10 | 15 | 116 | 0 | 0 | 0 | 16 | 3 | 0 | 58.90% | 815 | 0 | 0 | 0 | 2 | 1.47 | 0 | 0 | |
2 | Yegor Korshkov | 0 | LW/RW | 35 | 12 | 16 | 28 | 12 | 0 | 0 | 2 | 79 | 15 | 63 | 15.19% | 0 | 15.94 | 3 | 3 | 6 | 75 | 0 | 0 | 0 | 0 | 4 | 0 | 30.00% | 40 | 0 | 0 | 0 | 0 | 1.00 | 1 | 2 | |
3 | Nikolaj Ehlers | 0 | LW/RW | 35 | 11 | 15 | 26 | -2 | 6 | 0 | 27 | 81 | 21 | 85 | 13.58% | 3 | 17.34 | 3 | 6 | 9 | 119 | 0 | 0 | 0 | 8 | 1 | 1 | 20.00% | 60 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
4 | Matt Duchene | 0 | C/LW | 35 | 8 | 17 | 25 | -1 | 0 | 0 | 3 | 83 | 17 | 84 | 9.64% | 6 | 18.21 | 1 | 5 | 6 | 120 | 0 | 0 | 0 | 44 | 1 | 0 | 56.08% | 617 | 0 | 0 | 0 | 0 | 0.78 | 0 | 2 | |
5 | Erik Haula | 0 | C/LW | 35 | 9 | 14 | 23 | 13 | 39 | 5 | 104 | 126 | 26 | 63 | 7.14% | 4 | 18.97 | 3 | 2 | 5 | 115 | 0 | 0 | 0 | 64 | 2 | 0 | 54.05% | 333 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 | |
6 | Patrick Maroon | 0 | LW/RW | 36 | 6 | 13 | 19 | 1 | 78 | 10 | 108 | 65 | 19 | 59 | 9.23% | 7 | 15.41 | 0 | 1 | 1 | 29 | 0 | 1 | 1 | 89 | 1 | 0 | 27.27% | 44 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
7 | Josh Anderson | 0 | LW/RW | 35 | 11 | 8 | 19 | 1 | 38 | 0 | 93 | 91 | 19 | 48 | 12.09% | 4 | 17.18 | 4 | 4 | 8 | 113 | 0 | 0 | 0 | 34 | 1 | 0 | 25.53% | 47 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
8 | Robby Fabbri | 0 | C/LW/RW | 33 | 7 | 12 | 19 | -2 | 2 | 0 | 11 | 87 | 24 | 42 | 8.05% | 1 | 15.60 | 1 | 2 | 3 | 98 | 0 | 0 | 0 | 0 | 1 | 2 | 53.65% | 548 | 0 | 0 | 0 | 0 | 0.74 | 1 | 2 | |
9 | Torey Krug | 0 | D | 35 | 3 | 14 | 17 | -6 | 0 | 0 | 8 | 55 | 18 | 44 | 5.45% | 35 | 20.86 | 3 | 3 | 6 | 119 | 0 | 1 | 1 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
10 | Lawrence Pilut | 0 | D | 22 | 3 | 13 | 16 | 11 | 2 | 0 | 12 | 20 | 13 | 25 | 15.00% | 28 | 20.26 | 1 | 2 | 3 | 76 | 0 | 0 | 0 | 64 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
11 | Michael Matheson | 0 | D | 36 | 5 | 10 | 15 | 16 | 24 | 0 | 35 | 15 | 5 | 11 | 33.33% | 42 | 17.19 | 3 | 0 | 3 | 39 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
12 | Bryan Rust | 0 | LW/RW | 35 | 8 | 6 | 14 | -2 | 8 | 0 | 23 | 102 | 39 | 45 | 7.84% | 4 | 16.26 | 0 | 4 | 4 | 119 | 0 | 0 | 0 | 0 | 1 | 0 | 51.72% | 29 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
13 | Danny DeKeyser | 0 | D | 35 | 3 | 10 | 13 | 1 | 32 | 0 | 49 | 21 | 14 | 12 | 14.29% | 59 | 20.57 | 1 | 1 | 2 | 6 | 0 | 0 | 0 | 115 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
14 | Travis Hamonic | 0 | D | 33 | 0 | 12 | 12 | -1 | 77 | 15 | 86 | 12 | 6 | 13 | 0.00% | 47 | 18.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
15 | Theodor Blueger | 0 | C/LW | 34 | 2 | 7 | 9 | 5 | 10 | 0 | 12 | 37 | 12 | 30 | 5.41% | 5 | 12.22 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 125 | 0 | 0 | 50.00% | 544 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
16 | Anton Karlsson | 0 | LW/RW | 31 | 3 | 4 | 7 | 0 | 14 | 0 | 24 | 35 | 11 | 19 | 8.57% | 2 | 8.61 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 80 | 0 | 1 | 47.06% | 17 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
17 | Joona Koppanen | 0 | C/LW | 31 | 2 | 4 | 6 | -1 | 4 | 0 | 18 | 20 | 10 | 22 | 10.00% | 4 | 8.47 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 83 | 1 | 0 | 48.48% | 165 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
18 | Jani Hakanpaa | 0 | D | 35 | 1 | 5 | 6 | -7 | 41 | 5 | 91 | 21 | 2 | 15 | 4.76% | 54 | 19.08 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 113 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
19 | Stephen Johns | 0 | D | 15 | 0 | 1 | 1 | 6 | 24 | 0 | 40 | 7 | 0 | 3 | 0.00% | 15 | 14.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
20 | Carsen Twarynski | 0 | LW | 12 | 0 | 0 | 0 | -4 | 7 | 5 | 14 | 9 | 2 | 6 | 0.00% | 0 | 7.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18.75% | 48 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 633 | 115 | 206 | 321 | 52 | 406 | 40 | 761 | 1098 | 313 | 796 | 10.47% | 329 | 16.41 | 28 | 43 | 71 | 1190 | 1 | 3 | 4 | 1075 | 17 | 5 | 52.37% | 3307 | 0 | 0 | 0 | 2 | 0.62 | 2 | 7 |
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 | Ilya Samsonov | 34 | 34 | 19 | 11 | 1 | 0.896 | 3.20 | -18.0 | 1859 | 6 | 2 | 99 | 953 | 0 | 0 | 0 | 0.714 | 7 | 34 | 1 | 2 | 2 | 2 | |
2 | Laurent Brossoit | 6 | 1 | 0 | 4 | 0 | 0.905 | 2.85 | -1.3 | 253 | 0 | 0 | 12 | 126 | 0 | 0 | 1 | 0.000 | 0 | 1 | 34 | 0 | 1 | 0 | |
Team Total or Average | 40 | 35 | 19 | 15 | 1 | 0.897 | 3.15 | 2112 | 6 | 2 | 111 | 1079 | 0 | 0 | 1 | 0.714 | 7 | 35 | 35 | 2 | 3 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 0 | 4 | 4 | 0 | 65 | 24 | 23 | 18 | 0 | 60 | 17 | 26 | 49 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 51 | 35 | 43 | 14 | 24 | 12 | 54.5% | 12.3% | 86.7% | 99.0 | FUN | |
2 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 4 | 0.667 | 7 | 9 | 16 | 0 | 0 | 2 | 3 | 1 | 1 | 89 | 23 | 32 | 31 | 6 | 116 | 42 | 28 | 77 | 9 | 1 | 11.11% | 13 | 1 | 92.31% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 62 | 42 | 86 | 23 | 35 | 16 | 42.9% | 7.9% | 92.2% | 100.1 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 39 | 14 | 18 | 7 | 0 | 36 | 7 | 21 | 33 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 1 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 23 | 16 | 23 | 7 | 12 | 6 | 57.1% | 12.8% | 80.6% | 93.4 | FUN | |
4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 4 | 0.500 | 13 | 23 | 36 | 1 | 0 | 9 | 3 | 1 | 0 | 134 | 51 | 39 | 44 | 0 | 123 | 38 | 58 | 83 | 20 | 3 | 15.00% | 16 | 4 | 75.00% | 1 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 99 | 69 | 92 | 28 | 48 | 24 | 50.0% | 9.7% | 88.6% | 98.3 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 62 | 15 | 18 | 29 | 0 | 58 | 11 | 15 | 44 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 48 | 34 | 45 | 14 | 25 | 12 | 38.5% | 11.3% | 86.2% | 97.5 | FUN | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 4 | 2 | 1 | 0 | 60 | 19 | 26 | 15 | 0 | 64 | 22 | 22 | 35 | 8 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 49 | 34 | 46 | 14 | 23 | 11 | 87.5% | 11.7% | 96.9% | 108.5 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 4 | 8 | 14 | 0 | 35 | 6 | 14 | 29 | 3 | 2 | 66.67% | 7 | 1 | 85.71% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 22 | 15 | 25 | 7 | 12 | 6 | 0.0% | 7.7% | 85.7% | 93.4 | Unlucky | |
8 | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 18 | 10 | 8 | 7 | 0.875 | 18 | 31 | 49 | 0 | 0 | 5 | 8 | 4 | 2 | 139 | 33 | 47 | 49 | 14 | 116 | 39 | 26 | 73 | 12 | 2 | 16.67% | 13 | 3 | 76.92% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 98 | 69 | 100 | 29 | 50 | 25 | 69.6% | 12.9% | 91.4% | 104.3 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 2 | 0 | 1 | 0 | 41 | 17 | 12 | 12 | 0 | 16 | 7 | 6 | 23 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 26 | 19 | 23 | 7 | 10 | 5 | 100.0% | 7.3% | 100.0% | 107.3 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 20 | 1 | 9 | 10 | 0 | 36 | 7 | 16 | 21 | 3 | 1 | 33.33% | 7 | 3 | 57.14% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 20 | 12 | 24 | 8 | 14 | 7 | 50.0% | 15.0% | 86.1% | 101.1 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 9 | 13 | 3 | 0 | 48 | 15 | 6 | 22 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 21 | 14 | 27 | 7 | 11 | 5 | 40.0% | 8.0% | 91.7% | 99.7 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 26 | 11 | 5 | 10 | 0 | 28 | 13 | 12 | 25 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 21 | 14 | 26 | 7 | 12 | 6 | 66.7% | 11.5% | 92.9% | 104.4 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 35 | 12 | 12 | 11 | 0 | 32 | 4 | 6 | 22 | 5 | 3 | 60.00% | 3 | 2 | 33.33% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 23 | 16 | 23 | 6 | 12 | 6 | 28.6% | 14.3% | 78.1% | 92.4 | FUN | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 63 | 21 | 21 | 21 | 0 | 55 | 7 | 18 | 54 | 6 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 48 | 34 | 45 | 15 | 25 | 11 | 55.6% | 7.9% | 89.1% | 97.0 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 31 | 9 | 13 | 9 | 0 | 31 | 10 | 12 | 17 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 25 | 19 | 23 | 6 | 10 | 5 | 60.0% | 9.7% | 93.5% | 103.2 | LUCKY | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 14 | 23 | 0 | 0 | 4 | 3 | 2 | 0 | 85 | 35 | 27 | 23 | 0 | 85 | 27 | 30 | 58 | 5 | 1 | 20.00% | 15 | 3 | 80.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 74 | 52 | 69 | 19 | 35 | 17 | 57.1% | 10.6% | 89.4% | 100.0 | FUN | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 37 | 13 | 10 | 14 | 0 | 20 | 9 | 23 | 16 | 9 | 3 | 33.33% | 4 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 26 | 17 | 21 | 7 | 12 | 7 | 40.0% | 13.5% | 85.0% | 98.5 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 33 | 11 | 5 | 17 | 0 | 27 | 9 | 12 | 20 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 27 | 20 | 20 | 6 | 11 | 5 | 100.0% | 15.2% | 96.3% | 111.4 | LUCKY | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 64 | 15 | 24 | 25 | 0 | 51 | 17 | 24 | 43 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 52 | 37 | 43 | 14 | 24 | 12 | 28.6% | 4.7% | 88.2% | 92.9 | Unlucky | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 9 | 6 | 7 | 0 | 43 | 22 | 10 | 20 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 22 | 15 | 25 | 7 | 12 | 6 | 0.0% | 0.0% | 88.4% | 88.4 | Unlucky | |
_Vs Division | 20 | 9 | 8 | 0 | 1 | 0 | 1 | 1 | 65 | 64 | 1 | 23 | 0.575 | 65 | 113 | 178 | 1 | 0 | 25 | 24 | 14 | 3 | 638 | 196 | 210 | 219 | 20 | 609 | 191 | 207 | 427 | 75 | 12 | 16.00% | 80 | 15 | 81.25% | 1 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 486 | 342 | 481 | 143 | 245 | 121 | 52.0% | 10.2% | 89.5% | 99.7 | FUN | |
_Vs Conference | 29 | 14 | 12 | 0 | 1 | 0 | 1 | 1 | 94 | 91 | 3 | 33 | 0.569 | 94 | 168 | 262 | 1 | 1 | 36 | 33 | 23 | 3 | 915 | 283 | 314 | 305 | 20 | 905 | 267 | 312 | 637 | 106 | 16 | 15.09% | 128 | 25 | 80.47% | 2 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 706 | 497 | 694 | 208 | 353 | 174 | 54.2% | 10.3% | 89.9% | 100.2 | FUN | |
_Since Last GM Reset | 35 | 17 | 15 | 0 | 1 | 0 | 1 | 1 | 113 | 113 | 0 | 39 | 0.557 | 113 | 201 | 314 | 1 | 2 | 41 | 38 | 32 | 3 | 1096 | 346 | 368 | 369 | 20 | 1080 | 329 | 385 | 764 | 137 | 25 | 18.25% | 156 | 33 | 78.85% | 2 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 847 | 593 | 838 | 253 | 429 | 213 | 52.4% | 10.3% | 89.5% | 99.8 | FUN | |
Total | 35 | 17 | 15 | 0 | 1 | 0 | 1 | 1 | 113 | 113 | 0 | 39 | 0.557 | 113 | 201 | 314 | 1 | 2 | 41 | 38 | 32 | 3 | 1096 | 346 | 368 | 369 | 20 | 1080 | 329 | 385 | 764 | 137 | 25 | 18.25% | 156 | 33 | 78.85% | 2 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 847 | 593 | 838 | 253 | 429 | 213 | 52.4% | 10.3% | 89.5% | 99.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1246 |
Neutral Zone Start | 572 |
Defensive Zone Start | 1263 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1634 |
Faceoffs Lost | 1447 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 30.9 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 85 |
---|---|
PP Goal | 25 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 9 | 10 |
Lost | 7 | 8 |
Overtime Lost | 1 | 0 |
PP Attempt | 137 |
---|---|
PP Goal | 25 |
PK Attempt | 156 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 30.9 |
Goals For | 3.2 |
Goals Against | 3.2 |
Hits | 21.8 |
Shots Blocked | 9.4 |
Pim | 11.0 |
![]() | |
Projected Total Cap Hit | $79,062,050 |
Projected Cap Space | $2,437,950 |
Retains And Buyout Cap Hit | $2,257,000 |
Players In Salary Cap | 22 |
Contracts | 50/55 |
LTIR Players | 0 |
Prospect Count | 13 |
Islanders Roster | Pos | Age | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
---|---|---|---|---|---|---|---|---|---|---|
Anton Karlsson | LW/RW | 27 | $750,500 | $750,500 | $750,500 | |||||
Bryan Rust | LW/RW | 32 | $9,550,000 | $9,550,000 | ||||||
Carsen Twarynski | LW | 26 | $750,000 | |||||||
Danny DeKeyser | D | 34 | $3,925,000 | $3,925,000 | ||||||
Erik Haula | C/LW | 33 | $4,825,000 | |||||||
Ilya Samsonov | G | 27 | $2,500,000 | $2,500,000 | $2,500,000 | |||||
Jani Hakanpaa | D | 32 | $1,500,000 | $1,500,000 | ||||||
Joona Koppanen | C/LW | 26 | $700,050 | |||||||
Josh Anderson | LW/RW | 30 | $4,500,000 | |||||||
Laurent Brossoit | G | 31 | $700,500 | |||||||
Lawrence Pilut | D | 28 | $1,500,000 | |||||||
Matt Duchene | C/LW | 33 | $6,000,000 | $6,000,000 | ||||||
Michael Matheson | D | 30 | $3,500,000 | $3,500,000 | $3,500,000 | $3,500,000 | $3,500,000 | |||
Nikolaj Ehlers | LW/RW | 28 | $4,000,000 | $4,000,000 | $4,000,000 | |||||
Patrick Maroon | LW/RW | 36 | $2,350,000 | $2,350,000 | $2,350,000 | $2,350,000 | ||||
Robby Fabbri | C/LW/RW | 28 | $4,100,000 | |||||||
Ryan OReilly | C/LW/RW | 33 | $9,350,000 | $9,350,000 | $9,350,000 | $9,350,000 | $9,350,000 | $9,350,000 | ||
Stephen Johns | D | 32 | $900,000 | |||||||
Theodor Blueger | C/LW | 29 | $1,250,000 | $1,250,000 | $1,250,000 | |||||
Torey Krug | D | 33 | $6,169,000 | |||||||
Travis Hamonic | D | 33 | $4,535,000 | |||||||
Yegor Korshkov | LW/RW | 28 | $3,450,000 | $3,450,000 | $3,450,000 | $3,450,000 | $3,450,000 | $3,450,000 |
Islanders Roster | Pos | Age | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
---|---|---|---|---|---|---|---|---|---|---|
Alex Holtz | LW/RW | 22 | $925,000 | $894,167 | ||||||
Andre Lee | C/LW | 24 | $925,000 | |||||||
Andreas Johnsson | LW/RW | 29 | $1,250,000 | $1,250,000 | ||||||
Cole Sillinger | C | 21 | $925,000 | |||||||
Dylan Wells | G | 26 | $700,000 | $700,000 | ||||||
Elliot Desnoyers | C/LW | 22 | $750,000 | $750,000 | ||||||
Grigori Denisenko | C/LW/RW | 24 | $750,500 | $750,500 | ||||||
Henry Rybinski | C/LW/RW | 23 | $925,000 | |||||||
Jacob Middleton | D | 28 | $750,000 | |||||||
Jason Kasdorf | G | 32 | $700,000 | |||||||
John Ramage | D | 33 | $700,050 | |||||||
Joshua Brown | D | 30 | $700,000 | |||||||
Juuso Parssinen | RW | 23 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | |||
Lassi Thomson | D | 23 | $925,000 | |||||||
Lucas Wallmark | C/LW | 28 | $950,000 | |||||||
Matthew Villalta | G | 24 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | ||
Morgan Barron | C | 25 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | |||
Nic Dowd | C/RW | 34 | $700,500 | $700,500 | $700,500 | $700,500 | ||||
Niko Huuhtanen | RW | 21 | $925,000 | |||||||
Noah Cates | LW | 25 | $925,000 | $2,625,000 | $2,625,000 | |||||
Quinn Schmiemann | D | 23 | $925,000 | |||||||
Riley Nash | C/RW | 35 | $850,050 | |||||||
Ryan White | C/RW | 36 | $850,500 | |||||||
Ryker Evans | D | 22 | $750,000 | $750,000 | ||||||
Scott Wilson | C/LW | 32 | $700,000 | |||||||
Ville Ottavainen | D | 21 | $925,000 | |||||||
Yaroslav Dyblenko | D | 30 | $700,050 | |||||||
Yegor Zamula | D | 24 | $950,000 | $950,000 | $950,000 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 0 | 4 | 4 | 0 | 65 | 24 | 23 | 18 | 0 | 60 | 17 | 26 | 49 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 51 | 35 | 43 | 14 | 24 | 12 | 54.5% | 12.3% | 86.7% | 99.0 | FUN | |
2 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 4 | 0.667 | 7 | 9 | 16 | 0 | 0 | 2 | 3 | 1 | 1 | 89 | 23 | 32 | 31 | 6 | 116 | 42 | 28 | 77 | 9 | 1 | 11.11% | 13 | 1 | 92.31% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 62 | 42 | 86 | 23 | 35 | 16 | 42.9% | 7.9% | 92.2% | 100.1 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 39 | 14 | 18 | 7 | 0 | 36 | 7 | 21 | 33 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 1 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 23 | 16 | 23 | 7 | 12 | 6 | 57.1% | 12.8% | 80.6% | 93.4 | FUN | |
4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 4 | 0.500 | 13 | 23 | 36 | 1 | 0 | 9 | 3 | 1 | 0 | 134 | 51 | 39 | 44 | 0 | 123 | 38 | 58 | 83 | 20 | 3 | 15.00% | 16 | 4 | 75.00% | 1 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 99 | 69 | 92 | 28 | 48 | 24 | 50.0% | 9.7% | 88.6% | 98.3 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 62 | 15 | 18 | 29 | 0 | 58 | 11 | 15 | 44 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 48 | 34 | 45 | 14 | 25 | 12 | 38.5% | 11.3% | 86.2% | 97.5 | FUN | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 4 | 2 | 1 | 0 | 60 | 19 | 26 | 15 | 0 | 64 | 22 | 22 | 35 | 8 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 49 | 34 | 46 | 14 | 23 | 11 | 87.5% | 11.7% | 96.9% | 108.5 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 4 | 8 | 14 | 0 | 35 | 6 | 14 | 29 | 3 | 2 | 66.67% | 7 | 1 | 85.71% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 22 | 15 | 25 | 7 | 12 | 6 | 0.0% | 7.7% | 85.7% | 93.4 | Unlucky | |
8 | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 18 | 10 | 8 | 7 | 0.875 | 18 | 31 | 49 | 0 | 0 | 5 | 8 | 4 | 2 | 139 | 33 | 47 | 49 | 14 | 116 | 39 | 26 | 73 | 12 | 2 | 16.67% | 13 | 3 | 76.92% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 98 | 69 | 100 | 29 | 50 | 25 | 69.6% | 12.9% | 91.4% | 104.3 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 2 | 0 | 1 | 0 | 41 | 17 | 12 | 12 | 0 | 16 | 7 | 6 | 23 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 26 | 19 | 23 | 7 | 10 | 5 | 100.0% | 7.3% | 100.0% | 107.3 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 20 | 1 | 9 | 10 | 0 | 36 | 7 | 16 | 21 | 3 | 1 | 33.33% | 7 | 3 | 57.14% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 20 | 12 | 24 | 8 | 14 | 7 | 50.0% | 15.0% | 86.1% | 101.1 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 9 | 13 | 3 | 0 | 48 | 15 | 6 | 22 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 21 | 14 | 27 | 7 | 11 | 5 | 40.0% | 8.0% | 91.7% | 99.7 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 26 | 11 | 5 | 10 | 0 | 28 | 13 | 12 | 25 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 21 | 14 | 26 | 7 | 12 | 6 | 66.7% | 11.5% | 92.9% | 104.4 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 35 | 12 | 12 | 11 | 0 | 32 | 4 | 6 | 22 | 5 | 3 | 60.00% | 3 | 2 | 33.33% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 23 | 16 | 23 | 6 | 12 | 6 | 28.6% | 14.3% | 78.1% | 92.4 | FUN | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 63 | 21 | 21 | 21 | 0 | 55 | 7 | 18 | 54 | 6 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 48 | 34 | 45 | 15 | 25 | 11 | 55.6% | 7.9% | 89.1% | 97.0 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 31 | 9 | 13 | 9 | 0 | 31 | 10 | 12 | 17 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 25 | 19 | 23 | 6 | 10 | 5 | 60.0% | 9.7% | 93.5% | 103.2 | LUCKY | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 14 | 23 | 0 | 0 | 4 | 3 | 2 | 0 | 85 | 35 | 27 | 23 | 0 | 85 | 27 | 30 | 58 | 5 | 1 | 20.00% | 15 | 3 | 80.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 74 | 52 | 69 | 19 | 35 | 17 | 57.1% | 10.6% | 89.4% | 100.0 | FUN | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 37 | 13 | 10 | 14 | 0 | 20 | 9 | 23 | 16 | 9 | 3 | 33.33% | 4 | 0 | 100.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 26 | 17 | 21 | 7 | 12 | 7 | 40.0% | 13.5% | 85.0% | 98.5 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 33 | 11 | 5 | 17 | 0 | 27 | 9 | 12 | 20 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 27 | 20 | 20 | 6 | 11 | 5 | 100.0% | 15.2% | 96.3% | 111.4 | LUCKY | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 64 | 15 | 24 | 25 | 0 | 51 | 17 | 24 | 43 | 11 | 1 | 9.09% | 7 | 1 | 85.71% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 52 | 37 | 43 | 14 | 24 | 12 | 28.6% | 4.7% | 88.2% | 92.9 | Unlucky | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 9 | 6 | 7 | 0 | 43 | 22 | 10 | 20 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 22 | 15 | 25 | 7 | 12 | 6 | 0.0% | 0.0% | 88.4% | 88.4 | Unlucky | |
_Vs Division | 20 | 9 | 8 | 0 | 1 | 0 | 1 | 1 | 65 | 64 | 1 | 23 | 0.575 | 65 | 113 | 178 | 1 | 0 | 25 | 24 | 14 | 3 | 638 | 196 | 210 | 219 | 20 | 609 | 191 | 207 | 427 | 75 | 12 | 16.00% | 80 | 15 | 81.25% | 1 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 486 | 342 | 481 | 143 | 245 | 121 | 52.0% | 10.2% | 89.5% | 99.7 | FUN | |
_Vs Conference | 29 | 14 | 12 | 0 | 1 | 0 | 1 | 1 | 94 | 91 | 3 | 33 | 0.569 | 94 | 168 | 262 | 1 | 1 | 36 | 33 | 23 | 3 | 915 | 283 | 314 | 305 | 20 | 905 | 267 | 312 | 637 | 106 | 16 | 15.09% | 128 | 25 | 80.47% | 2 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 706 | 497 | 694 | 208 | 353 | 174 | 54.2% | 10.3% | 89.9% | 100.2 | FUN | |
_Since Last GM Reset | 35 | 17 | 15 | 0 | 1 | 0 | 1 | 1 | 113 | 113 | 0 | 39 | 0.557 | 113 | 201 | 314 | 1 | 2 | 41 | 38 | 32 | 3 | 1096 | 346 | 368 | 369 | 20 | 1080 | 329 | 385 | 764 | 137 | 25 | 18.25% | 156 | 33 | 78.85% | 2 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 847 | 593 | 838 | 253 | 429 | 213 | 52.4% | 10.3% | 89.5% | 99.8 | FUN | |
Total | 35 | 17 | 15 | 0 | 1 | 0 | 1 | 1 | 113 | 113 | 0 | 39 | 0.557 | 113 | 201 | 314 | 1 | 2 | 41 | 38 | 32 | 3 | 1096 | 346 | 368 | 369 | 20 | 1080 | 329 | 385 | 764 | 137 | 25 | 18.25% | 156 | 33 | 78.85% | 2 | 673 | 1246 | 54.01% | 652 | 1263 | 51.62% | 309 | 572 | 54.02% | 847 | 593 | 838 | 253 | 429 | 213 | 52.4% | 10.3% | 89.5% | 99.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1246 |
Neutral Zone Start | 572 |
Defensive Zone Start | 1263 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1634 |
Faceoffs Lost | 1447 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 30.9 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 85 |
---|---|
PP Goal | 25 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 9 | 10 |
Lost | 7 | 8 |
Overtime Lost | 1 | 0 |
PP Attempt | 137 |
---|---|
PP Goal | 25 |
PK Attempt | 156 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 30.9 |
Goals For | 3.2 |
Goals Against | 3.2 |
Hits | 21.8 |
Shots Blocked | 9.4 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sun, Jun 23 | @ | NYI3,PIT2 | RECAP | |||||||||||
Tue, Jun 25 | @ | CBJ2,NYI1 | RECAP | |||||||||||
Thu, Jun 27 | @ | HAR3,NYI4 | RECAP | |||||||||||
Fri, Jun 28 | @ | NYI4,PHI2 | RECAP | |||||||||||
Mon, Jul 1 | @ | WSH4,NYI3 (SO) | RECAP | |||||||||||
Tue, Jul 2 | @ | NYI0,NJD5 | RECAP | |||||||||||
Fri, Jul 5 | @ | NYR3,NYI5 | RECAP | |||||||||||
Sun, Jul 7 | @ | NYI2,NYR5 | RECAP | |||||||||||
Tue, Jul 9 | @ | CBJ4,NYI6 | RECAP | |||||||||||
Thu, Jul 11 | @ | NYI3,HAR6 | RECAP | |||||||||||
Fri, Jul 12 | @ | NYI7,WSH1 | RECAP | |||||||||||
Sat, Jul 13 | @ | NYI3,EDM2 | RECAP | |||||||||||
Tue, Jul 16 | @ | PIT4,NYI0 | RECAP | |||||||||||
Fri, Jul 19 | @ | NJD2,NYI3 (SO) | RECAP | |||||||||||
Sun, Jul 21 | @ | NYI4,NJD2 | RECAP | |||||||||||
Tue, Jul 23 | @ | PHI6,NYI4 | RECAP | |||||||||||
Thu, Jul 25 | @ | HAR3,NYI6 | RECAP | |||||||||||
Fri, Jul 26 | @ | NYI1,BOS4 | RECAP | |||||||||||
Sun, Jul 28 | @ | NYI3,LAK5 | RECAP | |||||||||||
Tue, Jul 30 | @ | HAR2,NYI0 | RECAP | |||||||||||
Thu, Aug 1 | @ | NYI0,SJS5 | RECAP | |||||||||||
Sat, Aug 3 | @ | WSH3,NYI5 | RECAP | |||||||||||
Mon, Aug 5 | @ | NYI3,BUF2 | RECAP | |||||||||||
Wed, Aug 7 | @ | NYI5,DAL3 | RECAP | |||||||||||
Thu, Aug 8 | @ | BOS2,NYI4 | RECAP | |||||||||||
Sun, Aug 11 | @ | OTT7,NYI5 | RECAP | |||||||||||
Tue, Aug 13 | @ | NYI3,COL0 | RECAP | |||||||||||
Wed, Aug 14 | @ | NYI3,DET0 | RECAP | |||||||||||
Fri, Aug 16 | @ | DET2,NYI4 | RECAP | |||||||||||
Sun, Aug 18 | @ | NYI2,TBL4 | RECAP | |||||||||||
Tue, Aug 20 | @ | WSH2,NYI3 (OT) | RECAP | |||||||||||
Thu, Aug 22 | @ | MTL5,NYI2 | RECAP | |||||||||||
Sat, Aug 24 | @ | NYI5,TOR1 | RECAP | |||||||||||
Sun, Aug 25 | @ | NYI2,CBJ3 | RECAP | |||||||||||
Tue, Aug 27 | @ | STL7,NYI5 | RECAP | |||||||||||
Fri, Aug 30 | @ | |||||||||||||
Sat, Aug 31 | @ | |||||||||||||
Mon, Sep 2 | @ | |||||||||||||
Wed, Sep 4 | @ | |||||||||||||
Sat, Sep 7 | @ | |||||||||||||
Mon, Sep 9 | @ | |||||||||||||
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Fri, Sep 27 | @ | |||||||||||||
Mon, Sep 30 | @ | |||||||||||||
Tue, Oct 1 | @ | |||||||||||||
Thu, Oct 3 | @ | |||||||||||||
Sat, Oct 5 | @ | |||||||||||||
Sun, Oct 6 | @ | |||||||||||||
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Thu, Oct 17 | @ | |||||||||||||
Sun, Oct 20 | @ | |||||||||||||
Wed, Oct 23 | @ | |||||||||||||
Thu, Oct 24 | @ | |||||||||||||
Sat, Oct 26 | @ | |||||||||||||
Mon, Oct 28 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Oct 30 | @ | |||||||||||||
Thu, Oct 31 | @ | |||||||||||||
Sat, Nov 2 | @ | |||||||||||||
Mon, Nov 4 | @ | |||||||||||||
Tue, Nov 5 | @ | |||||||||||||
Fri, Nov 8 | @ | |||||||||||||
Sat, Nov 9 | @ | |||||||||||||
Tue, Nov 12 | @ | |||||||||||||
Fri, Nov 15 | @ | |||||||||||||
Sat, Nov 16 | @ | |||||||||||||
Mon, Nov 18 | @ | |||||||||||||
Thu, Nov 21 | @ | |||||||||||||
Sun, Nov 24 | @ | |||||||||||||
Fri, Nov 29 | @ | |||||||||||||
Sat, Nov 30 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,805,050$ | 2,257,000$ | 79,062,050$ | 2,437,950$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Barclays Center | |
City | New York | ||
Capacity | 18500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5500 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 45$ | 30$ | 200$ |
Attendance | 85911 | 77210 | 28059 | 55733 | 14540 |
Attendance PCT | 84.23% | 82.58% | 82.53% | 81.96% | 85.53% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
24 | 15380 - 83.13% | 1,671,109$ | 28,408,853$ | 18500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
76,805,050$ | 76,805,050$ | 0$ | 2,257,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
32,161,519$ | 76,805,050$ | 32,161,519$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
40,106,616$ | 95 | 474,105$ | 45,039,975$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
46,393,250$ | 79,062,050$ | 48,498,585$ | 46,359,573$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 |
---|---|---|---|
14 | ![]() | ![]() ![]() | |
15 | ![]() | ![]() | ![]() |
16 | ![]() | ![]() | ![]() |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Edstrom | 10 | 84 | |||
Alex Jefferies | 8 | 92 | |||
Arturs Silovs | 2021 | 69 | |||
Cam Squires | 13 | 40 | |||
Jakub Brabenec | 9 | 34 | |||
Jimmy Snuggerud | 12 | 10 | |||
Mikhail Berdin | 4 | 78 | |||
Oliver Bonk | 13 | 25 | |||
Patrick Thomas | 13 | 63 | |||
Raivis Ansons | 9 | 47 | |||
Topi Ronni | 12 | 46 | |||
Tyson Jugnauth | 11 | 86 | |||
Vyacheslav Peksa | 10 | 89 |
Year | Ronde 1 | Ronde 2 | Ronde 3 |
---|---|---|---|
14 | ![]() | ![]() ![]() | |
15 | ![]() | ![]() | ![]() |
16 | ![]() | ![]() | ![]() |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Edstrom | 10 | 84 | |||
Alex Jefferies | 8 | 92 | |||
Arturs Silovs | 2021 | 69 | |||
Cam Squires | 13 | 40 | |||
Jakub Brabenec | 9 | 34 | |||
Jimmy Snuggerud | 12 | 10 | |||
Mikhail Berdin | 4 | 78 | |||
Oliver Bonk | 13 | 25 | |||
Patrick Thomas | 13 | 63 | |||
Raivis Ansons | 9 | 47 | |||
Topi Ronni | 12 | 46 | |||
Tyson Jugnauth | 11 | 86 | |||
Vyacheslav Peksa | 10 | 89 |
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