Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jack Quinn (R) (A) | 22 | RW | 100.00 | 59 | 37 | 84 | 70 | 71 | 89 | 71 | 68 | 72 | 67 | 70 | 61 | 72 | 61 | 63 | 0 | 50 | 70 | 21 | 1,713,333$/4yrs | |||
Nikita Scherbak | 38 | RW | 100.00 | 67 | 38 | 86 | 64 | 79 | 83 | 78 | 63 | 57 | 62 | 58 | 59 | 64 | 71 | 65 | 0 | 50 | 68 | 27 | 999,999$/1yrs | |||
Jayce Hawryluk | 18 | LW/RW | 100.00 | 84 | 39 | 86 | 64 | 72 | 66 | 71 | 62 | 61 | 64 | 61 | 59 | 64 | 69 | 66 | 0 | 50 | 68 | 27 | 750,000$/2yrs | |||
Taro Hirose (C) | 67 | LW | 100.00 | 61 | 35 | 94 | 66 | 63 | 86 | 83 | 67 | 71 | 66 | 58 | 56 | 64 | 67 | 68 | 0 | 50 | 67 | 26 | 816,667$/3yrs | |||
Joe Snively | 92 | C | 100.00 | 56 | 36 | 75 | 63 | 65 | 86 | 77 | 64 | 73 | 65 | 66 | 57 | 62 | 66 | 68 | 0 | 50 | 67 | 27 | 785,000$/3yrs | |||
Josh Dunne | 2 | C | 100.00 | 81 | 42 | 76 | 57 | 88 | 81 | 66 | 58 | 73 | 56 | 59 | 66 | 57 | 64 | 66 | 0 | 50 | 67 | 24 | 864,562$/2yrs | |||
Henry Bowlby | 4 | LW | 100.00 | 67 | 36 | 83 | 60 | 79 | 80 | 87 | 58 | 52 | 59 | 60 | 57 | 59 | 65 | 67 | 0 | 50 | 66 | 26 | 800,000$/2yrs | |||
Adam Raska (A) | 6 | RW | 100.00 | 76 | 40 | 62 | 61 | 66 | 74 | 78 | 60 | 57 | 59 | 58 | 62 | 57 | 61 | 63 | 0 | 50 | 66 | 21 | 900,000$/3yrs | |||
Colin Theisen | 7 | LW/RW | 100.00 | 64 | 38 | 88 | 63 | 72 | 81 | 65 | 62 | 54 | 61 | 60 | 59 | 63 | 65 | 67 | 0 | 50 | 66 | 25 | 1,058,333$/3yrs | |||
Brandon Biro | 8 | LW | 100.00 | 67 | 36 | 88 | 61 | 66 | 80 | 72 | 61 | 66 | 62 | 57 | 58 | 62 | 64 | 66 | 0 | 50 | 65 | 25 | 763,889$/3yrs | |||
Bryce Kindopp | 9 | RW | 100.00 | 63 | 37 | 86 | 60 | 74 | 73 | 87 | 59 | 62 | 57 | 58 | 60 | 59 | 63 | 65 | 0 | 50 | 65 | 23 | 1,212,500$/2yrs | |||
Brayden Burke | 33 | LW | 100.00 | 56 | 37 | 84 | 62 | 65 | 72 | 76 | 63 | 59 | 66 | 55 | 57 | 63 | 65 | 67 | 0 | 50 | 65 | 26 | 775,000$/1yrs | |||
Peter Abbandonato | 50 | C | 100.00 | 62 | 36 | 88 | 59 | 71 | 69 | 72 | 56 | 70 | 62 | 56 | 57 | 61 | 64 | 66 | 0 | 50 | 64 | 25 | 1,800,000$/1yrs | |||
Brinson Pasichnuk | 3 | D | 100.00 | 53 | 43 | 82 | 61 | 75 | 77 | 76 | 62 | 30 | 60 | 57 | 64 | 51 | 67 | 64 | 0 | 50 | 66 | 25 | 950,250$/1yrs | |||
Zack Hayes | 5 | D | 100.00 | 78 | 52 | 74 | 55 | 87 | 81 | 86 | 54 | 30 | 55 | 52 | 60 | 45 | 63 | 62 | 0 | 50 | 66 | 23 | 892,750$/2yrs | |||
Brayden Pachal | 10 | D | 100.00 | 67 | 38 | 78 | 56 | 79 | 74 | 83 | 58 | 30 | 57 | 56 | 61 | 52 | 63 | 65 | 0 | 50 | 65 | 23 | 750,000$/2yrs | |||
Cam Lee | 14 | D | 100.00 | 63 | 39 | 72 | 58 | 73 | 77 | 88 | 57 | 30 | 59 | 53 | 56 | 48 | 65 | 67 | 0 | 50 | 64 | 26 | 750,000$/1yrs | |||
Artyom Serikov | 11 | D | 100.00 | 67 | 39 | 86 | 56 | 77 | 64 | 71 | 55 | 30 | 54 | 53 | 57 | 45 | 62 | 64 | 0 | 50 | 62 | 22 | 770,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Alex-Olivier Voyer | 15 | RW | 100.00 | 69 | 38 | 75 | 55 | 79 | 74 | 69 | 54 | 51 | 53 | 56 | 58 | 55 | 63 | 65 | 0 | 50 | 63 | 24 | 966,000$/1yrs | |||
Colton Beck | 36 | LW | 100.00 | 61 | 35 | 92 | 57 | 71 | 73 | 78 | 54 | 58 | 56 | 55 | 53 | 54 | 79 | 71 | 0 | 50 | 63 | 32 | 1,986,000$/1yrs | |||
Riley Woods | 16 | LW | 100.00 | 58 | 35 | 93 | 58 | 67 | 72 | 78 | 57 | 62 | 60 | 55 | 54 | 56 | 65 | 63 | 0 | 50 | 63 | 24 | 966,666$/1yrs | |||
Declan McDonnell | 23 | RW | 100.00 | 58 | 39 | 86 | 55 | 67 | 72 | 77 | 53 | 56 | 54 | 51 | 52 | 55 | 59 | 62 | 0 | 50 | 60 | 20 | 750,000$/1yrs | |||
Jesper Sellgren | 12 | D | 100.00 | 57 | 36 | 81 | 56 | 66 | 70 | 83 | 55 | 30 | 58 | 54 | 56 | 45 | 64 | 66 | 0 | 50 | 62 | 24 | 875,000$/1yrs | |||
Alex Kannok-Leipert | 17 | D | 100.00 | 63 | 39 | 74 | 55 | 72 | 65 | 69 | 54 | 30 | 53 | 52 | 56 | 45 | 62 | 64 | 0 | 50 | 61 | 22 | 750,000$/1yrs | |||
Matthew Hellickson | 19 | D | 100.00 | 62 | 39 | 74 | 55 | 71 | 64 | 62 | 54 | 30 | 56 | 53 | 57 | 45 | 64 | 66 | 0 | 50 | 61 | 25 | 925,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Logan Thompson | 31 | 100.00 | 79 | 83 | 81 | 87 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 65 | 73 | 0 | 50 | 80 | 26 | 1,022,500$/4yrs |
Pheonix Copley | 77 | 100.00 | 75 | 74 | 75 | 86 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 84 | 0 | 50 | 77 | 31 | 1,064,000$/3yrs |
Scratches | ||||||||||||||||||||
Kai Edmonds | 35 | 100.00 | 75 | 65 | 63 | 73 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 61 | 65 | 0 | 50 | 73 | 22 | 891,999$/1yrs |
Dereck Baribeau | 82 | 100.00 | 69 | 70 | 69 | 96 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 63 | 69 | 0 | 50 | 72 | 24 | 986,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Chris Niel | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 43 | 5 | 0$ |
General Manager |
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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 | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jack Quinn | Binghamton Senateurs (OTT) | RW | 77 | 55 | 60 | 115 | 1 | 24 | 0 | 67 | 471 | 125 | 320 | 11.68% | 26 | 23.17 | 10 | 14 | 24 | 0 | 0 | 0 | 99 | 5 | 3 | 48.15% | 0 | 2 | 1.49 | 0 | 1 | 1.54 | |||
2 | Taro Hirose | Binghamton Senateurs (OTT) | LW | 82 | 31 | 45 | 76 | -8 | 10 | 0 | 47 | 266 | 67 | 199 | 11.65% | 19 | 19.14 | 7 | 11 | 18 | 3 | 1 | 4 | 140 | 1 | 3 | 47.91% | 0 | 0 | 0.93 | 0 | 1 | 0.88 | |||
3 | Nikita Scherbak | Binghamton Senateurs (OTT) | RW | 82 | 29 | 46 | 75 | -1 | 12 | 0 | 88 | 306 | 92 | 225 | 9.48% | 13 | 20.87 | 6 | 16 | 22 | 0 | 1 | 1 | 206 | 3 | 3 | 45.74% | 0 | 1 | 0.91 | 0 | 1 | 0.96 | |||
4 | Joe Snively | Binghamton Senateurs (OTT) | C | 72 | 28 | 44 | 72 | 21 | 20 | 0 | 39 | 201 | 43 | 122 | 13.93% | 14 | 14.83 | 7 | 9 | 16 | 0 | 0 | 0 | 50 | 5 | 2 | 48.98% | 0 | 0 | 1.00 | 0 | 1 | 0.98 | |||
5 | Josh Dunne | Binghamton Senateurs (OTT) | C | 69 | 27 | 32 | 59 | -8 | 66 | 10 | 230 | 218 | 59 | 155 | 12.39% | 29 | 18.61 | 3 | 13 | 16 | 1 | 0 | 1 | 104 | 6 | 1 | 49.34% | 0 | 1 | 0.86 | 0 | 0 | 0.74 | |||
6 | Brinson Pasichnuk | Binghamton Senateurs (OTT) | D | 80 | 9 | 47 | 56 | 4 | 4 | 0 | 27 | 127 | 43 | 96 | 7.09% | 141 | 20.76 | 2 | 6 | 8 | 0 | 0 | 0 | 153 | 1 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.70 | |||
7 | Jayce Hawryluk | Binghamton Senateurs (OTT) | LW/RW | 80 | 22 | 34 | 56 | 19 | 52 | 0 | 187 | 171 | 59 | 140 | 12.87% | 6 | 14.55 | 2 | 4 | 6 | 0 | 0 | 0 | 78 | 3 | 2 | 38.55% | 0 | 0 | 0.70 | 0 | 0 | 0.70 | |||
8 | Brayden Pachal | Binghamton Senateurs (OTT) | D | 82 | 12 | 33 | 45 | 9 | 52 | 0 | 147 | 90 | 24 | 64 | 13.33% | 137 | 19.82 | 4 | 5 | 9 | 0 | 0 | 0 | 114 | 2 | 0 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.51 | |||
9 | Colin Theisen | Binghamton Senateurs (OTT) | LW/RW | 75 | 13 | 32 | 45 | 2 | 6 | 0 | 79 | 191 | 66 | 135 | 6.81% | 13 | 15.59 | 4 | 9 | 13 | 0 | 0 | 0 | 9 | 2 | 0 | 34.27% | 0 | 0 | 0.60 | 0 | 0 | 0.65 | |||
10 | Adam Raska | Binghamton Senateurs (OTT) | RW | 81 | 17 | 26 | 43 | -14 | 55 | 5 | 211 | 216 | 54 | 171 | 7.87% | 25 | 15.36 | 2 | 10 | 12 | 0 | 1 | 1 | 99 | 1 | 1 | 41.76% | 0 | 0 | 0.53 | 0 | 0 | 0.49 | |||
11 | Zack Hayes | Binghamton Senateurs (OTT) | D | 82 | 20 | 22 | 42 | 13 | 175 | 15 | 300 | 109 | 39 | 65 | 18.35% | 142 | 23.81 | 9 | 2 | 11 | 0 | 0 | 0 | 153 | 2 | 0 | 0.00% | 0 | 0 | 0.51 | 0 | 0 | 0.33 | |||
12 | Cam Lee | Binghamton Senateurs (OTT) | D | 81 | 5 | 34 | 39 | -3 | 31 | 5 | 143 | 110 | 42 | 78 | 4.55% | 118 | 21.36 | 3 | 7 | 10 | 0 | 1 | 1 | 215 | 2 | 0 | 0.00% | 0 | 0 | 0.48 | 0 | 0 | 0.48 | |||
13 | Henry Bowlby | Binghamton Senateurs (OTT) | LW | 82 | 16 | 22 | 38 | -14 | 22 | 0 | 80 | 173 | 53 | 143 | 9.25% | 24 | 16.90 | 6 | 7 | 13 | 0 | 0 | 0 | 107 | 2 | 1 | 37.95% | 0 | 0 | 0.46 | 0 | 0 | 0.43 | |||
14 | Jesper Sellgren | Binghamton Senateurs (OTT) | D | 77 | 5 | 31 | 36 | -13 | 24 | 0 | 59 | 57 | 17 | 35 | 8.77% | 95 | 18.25 | 0 | 8 | 8 | 0 | 0 | 0 | 153 | 2 | 2 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.33 | |||
15 | Bryce Kindopp | Binghamton Senateurs (OTT) | RW | 82 | 12 | 17 | 29 | -5 | 12 | 0 | 44 | 129 | 36 | 86 | 9.30% | 16 | 11.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 41.88% | 0 | 0 | 0.35 | 0 | 0 | 0.33 | |||
16 | Brayden Burke | Binghamton Senateurs (OTT) | LW | 82 | 7 | 18 | 25 | 1 | 8 | 0 | 14 | 98 | 30 | 60 | 7.14% | 9 | 6.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 43.38% | 0 | 0 | 0.30 | 0 | 0 | 0.30 | |||
17 | Artyom Serikov | Binghamton Senateurs (OTT) | D | 74 | 3 | 17 | 20 | -11 | 30 | 0 | 122 | 74 | 24 | 35 | 4.05% | 78 | 16.72 | 2 | 4 | 6 | 0 | 1 | 1 | 102 | 1 | 1 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.23 | |||
18 | Brandon Biro | Binghamton Senateurs (OTT) | LW | 82 | 3 | 7 | 10 | 1 | 0 | 0 | 11 | 16 | 9 | 15 | 18.75% | 2 | 1.44 | 0 | 3 | 3 | 0 | 1 | 1 | 5 | 0 | 0 | 45.76% | 0 | 0 | 0.12 | 0 | 0 | 0.11 | |||
19 | Peter Abbandonato | Binghamton Senateurs (OTT) | C | 32 | 4 | 3 | 7 | -9 | 6 | 0 | 15 | 56 | 13 | 40 | 7.14% | 3 | 12.93 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 48.63% | 0 | 0 | 0.22 | 0 | 0 | 0.15 | |||
20 | Matthew Hellickson | Binghamton Senateurs (OTT) | D | 6 | 1 | 2 | 3 | 2 | 0 | 0 | 12 | 4 | 0 | 2 | 25.00% | 8 | 15.26 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.63 | |||
21 | Alex-Olivier Voyer | Binghamton Senateurs (OTT) | RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 3.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | |||
22 | Colton Beck | Binghamton Senateurs (OTT) | LW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
23 | Alex Kannok-Leipert | Binghamton Senateurs (OTT) | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 2 | 2 | 3 | 0.00% | 1 | 15.65 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
24 | Riley Woods | Binghamton Senateurs (OTT) | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 1476 | 319 | 572 | 891 | -15 | 609 | 35 | 1927 | 3085 | 897 | 2189 | 10.34% | 919 | 16.37 | 68 | 129 | 197 | 2510 | 4 | 6 | 10 | 1807 | 41 | 21 | 46.14% | 7970 | 0 | 0 | 0 | 4 | 0.74 | 0 | 4 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Logan Thompson | Binghamton Senateurs (OTT) | 65 | 28 | 26 | 7 | 0.903 | 3.74 | 3590 | 0 | 1 | 224 | 2317 | 0 | 3 | 2 | 0.750 | 4 | 62 | 18 | 5 | 4 | 3 |
2 | Pheonix Copley | Binghamton Senateurs (OTT) | 26 | 13 | 8 | 0 | 0.905 | 3.75 | 1345 | 2 | 1 | 84 | 886 | 0 | 1 | 3 | 0.000 | 0 | 20 | 62 | 1 | 0 | 1 |
Team Total or Average | 91 | 41 | 34 | 7 | 0.904 | 3.75 | 4935 | 2 | 2 | 308 | 3203 | 0 | 4 | 5 | 0.750 | 4 | 82 | 80 | 6 | 4 | 4 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Raska | RW | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Alex Kannok-Leipert | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Alex-Olivier Voyer | RW | 24 | 966,000$ | 966,000$ | RFA | ||||||
Artyom Serikov | D | 22 | 770,000$ | 770,000$ | RFA | ||||||
Brandon Biro | LW | 25 | 763,889$ | 766,666$ | 762,500$ | 762,500$ | UFA | ||||
Brayden Burke | LW | 26 | 775,000$ | 775,000$ | UFA | ||||||
Brayden Pachal | D | 23 | 750,000$ | 750,000$ | 750,000$ | RFA | |||||
Brinson Pasichnuk | D | 25 | 950,250$ | 950,250$ | RFA | ||||||
Bryce Kindopp | RW | 23 | 1,212,500$ | 1,500,000$ | 925,000$ | RFA | |||||
Cam Lee | D | 26 | 750,000$ | 700,000$ | UFA | ||||||
Colin Theisen | LW/RW | 25 | 1,058,333$ | 775,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Colton Beck | LW | 32 | 1,986,000$ | 1,986,000$ | UFA | ||||||
Declan McDonnell | RW | 20 | 750,000$ | 750,000$ | RFA | ||||||
Dereck Baribeau | G | 24 | 986,000$ | 986,000$ | RFA | ||||||
Henry Bowlby | LW | 26 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Jack Quinn | RW | 21 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | RFA | |||
Jayce Hawryluk | LW/RW | 27 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Jesper Sellgren | D | 24 | 875,000$ | 875,000$ | RFA | ||||||
Joe Snively | C | 27 | 785,000$ | 755,000$ | 800,000$ | 800,000$ | UFA | ||||
Josh Dunne | C | 24 | 864,562$ | 855,000$ | 874,125$ | RFA | |||||
Kai Edmonds | G | 22 | 891,999$ | 891,999$ | RFA | ||||||
Logan Thompson | G | 26 | 1,022,500$ | 1,790,000$ | 766,667$ | 766,667$ | 766,667$ | UFA | |||
Matthew Hellickson | D | 25 | 925,000$ | 925,000$ | RFA | ||||||
Nikita Scherbak | RW | 27 | 999,999$ | 999,999$ | UFA | ||||||
Peter Abbandonato | C | 25 | 1,800,000$ | 1,800,000$ | RFA | ||||||
Pheonix Copley | G | 31 | 1,064,000$ | 867,000$ | 825,000$ | 1,500,000$ | UFA | ||||
Riley Woods | LW | 24 | 966,666$ | 966,666$ | RFA | ||||||
Taro Hirose | LW | 26 | 816,667$ | 750,000$ | 850,000$ | 850,000$ | UFA | ||||
Zack Hayes | D | 23 | 892,750$ | 980,500$ | 805,000$ | 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 |
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1 | Checkers | 6 | 2 | 2 | 0 | 0 | 2 | 0 | 0 | 21 | 25 | -4 | 6 | 0.500 | 21 | 36 | 57 | 0 | 0 | 118 | 108 | 89 | 4 | 209 | 1022 | 1057 | 990 | 20 | 233 | 66 | 80 | 121 | 24 | 4 | 16.67% | 30 | 6 | 80.00% | 1 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 47.2% | 10.0% | 89.3% | 99.3 | FUN |
2 | Marlies | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 25 | 25 | 0 | 6 | 0.500 | 25 | 44 | 69 | 2 | 0 | 118 | 108 | 89 | 4 | 253 | 1022 | 1057 | 990 | 20 | 226 | 58 | 24 | 138 | 21 | 8 | 38.10% | 12 | 3 | 75.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 43.6% | 9.9% | 88.9% | 98.8 | FUN |
3 | Americans | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 25 | 27 | -2 | 6 | 0.500 | 25 | 43 | 68 | 0 | 0 | 118 | 108 | 89 | 4 | 258 | 1022 | 1057 | 990 | 20 | 218 | 61 | 36 | 140 | 32 | 6 | 18.75% | 17 | 4 | 76.47% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 45.2% | 9.7% | 87.6% | 97.3 | FUN |
4 | Bears | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 6 | 6 | 3 | 0.750 | 12 | 22 | 34 | 0 | 1 | 118 | 108 | 89 | 4 | 95 | 1022 | 1057 | 990 | 20 | 52 | 24 | 6 | 48 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 62.5% | 12.6% | 88.5% | 101.1 | FUN |
5 | Rockets | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 17 | 26 | -9 | 2 | 0.167 | 17 | 30 | 47 | 1 | 0 | 118 | 108 | 89 | 4 | 194 | 1022 | 1057 | 990 | 20 | 237 | 62 | 49 | 148 | 23 | 4 | 17.39% | 21 | 9 | 57.14% | 1 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 43.3% | 8.8% | 89.0% | 97.8 | Unlucky |
6 | Providence Bruins | 7 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 22 | 29 | -7 | 5 | 0.357 | 22 | 40 | 62 | 0 | 0 | 118 | 108 | 89 | 4 | 261 | 1022 | 1057 | 990 | 20 | 266 | 63 | 51 | 162 | 29 | 8 | 27.59% | 18 | 5 | 72.22% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 36.8% | 8.4% | 89.1% | 97.5 | Unlucky |
7 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 118 | 108 | 89 | 4 | 71 | 1022 | 1057 | 990 | 20 | 106 | 39 | 12 | 53 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 35.0% | 12.7% | 86.8% | 99.5 | FUN |
8 | Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 118 | 108 | 89 | 4 | 33 | 1022 | 1057 | 990 | 20 | 56 | 15 | 8 | 25 | 6 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 40.0% | 6.1% | 91.1% | 97.1 | Unlucky |
9 | Phantoms | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 9 | -2 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 118 | 108 | 89 | 4 | 92 | 1022 | 1057 | 990 | 20 | 77 | 25 | 12 | 43 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 40.0% | 7.6% | 88.3% | 95.9 | Unlucky |
10 | Wolf Pack | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 1.000 | 13 | 23 | 36 | 0 | 0 | 118 | 108 | 89 | 4 | 72 | 1022 | 1057 | 990 | 20 | 90 | 25 | 14 | 46 | 9 | 2 | 22.22% | 7 | 0 | 100.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 61.1% | 18.1% | 92.2% | 110.3 | LUCKY |
11 | islanders | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 118 | 108 | 89 | 4 | 87 | 1022 | 1057 | 990 | 20 | 76 | 18 | 12 | 36 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 53.3% | 10.3% | 88.2% | 98.5 | FUN |
12 | IceHogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 118 | 108 | 89 | 4 | 73 | 1022 | 1057 | 990 | 20 | 97 | 22 | 8 | 46 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 54.5% | 9.6% | 94.8% | 104.4 | LUCKY |
13 | Griffins | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 27 | 23 | 4 | 8 | 0.571 | 27 | 47 | 74 | 0 | 1 | 118 | 108 | 89 | 4 | 261 | 1022 | 1057 | 990 | 20 | 239 | 75 | 38 | 141 | 22 | 3 | 13.64% | 18 | 4 | 77.78% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 55.8% | 10.3% | 90.4% | 100.7 | FUN |
14 | Monsters | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 118 | 108 | 89 | 4 | 85 | 1022 | 1057 | 990 | 20 | 57 | 18 | 16 | 53 | 11 | 4 | 36.36% | 8 | 1 | 87.50% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 50.0% | 10.6% | 89.5% | 100.1 | FUN |
15 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 118 | 108 | 89 | 4 | 26 | 1022 | 1057 | 990 | 20 | 54 | 9 | 8 | 33 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 40.0% | 15.4% | 88.9% | 104.3 | FUN |
16 | Condors | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 118 | 108 | 89 | 4 | 104 | 1022 | 1057 | 990 | 20 | 119 | 27 | 22 | 68 | 11 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 55.0% | 10.6% | 90.8% | 101.3 | FUN |
17 | Iowa Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 118 | 108 | 89 | 4 | 78 | 1022 | 1057 | 990 | 20 | 78 | 27 | 23 | 43 | 9 | 4 | 44.44% | 9 | 1 | 88.89% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 62.5% | 11.5% | 94.9% | 106.4 | LUCKY |
18 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 118 | 108 | 89 | 4 | 30 | 1022 | 1057 | 990 | 20 | 36 | 17 | 6 | 16 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 75.0% | 10.0% | 94.4% | 104.4 | LUCKY |
19 | Thunderbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 118 | 108 | 89 | 4 | 37 | 1022 | 1057 | 990 | 20 | 30 | 13 | 6 | 34 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 100.0% | 10.8% | 96.7% | 107.5 | LUCKY |
20 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 118 | 108 | 89 | 4 | 29 | 1022 | 1057 | 990 | 20 | 50 | 19 | 14 | 17 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 71.4% | 17.2% | 94.0% | 111.2 | LUCKY |
21 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 118 | 108 | 89 | 4 | 71 | 1022 | 1057 | 990 | 20 | 101 | 30 | 16 | 48 | 1 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 45.5% | 7.0% | 93.1% | 100.1 | DULL |
22 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 118 | 108 | 89 | 4 | 47 | 1022 | 1057 | 990 | 20 | 42 | 9 | 4 | 22 | 5 | 1 | 20.00% | 2 | 2 | 0.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 50.0% | 12.8% | 83.3% | 96.1 | FUN |
23 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 118 | 108 | 89 | 4 | 42 | 1022 | 1057 | 990 | 20 | 24 | 5 | 8 | 21 | 8 | 4 | 50.00% | 4 | 1 | 75.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 66.7% | 14.3% | 91.7% | 106.0 | LUCKY |
24 | Comets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 14 | -2 | 2 | 0.333 | 12 | 23 | 35 | 0 | 0 | 118 | 108 | 89 | 4 | 118 | 1022 | 1057 | 990 | 20 | 131 | 41 | 24 | 72 | 9 | 1 | 11.11% | 12 | 3 | 75.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 50.0% | 10.2% | 89.3% | 99.5 | FUN |
25 | W-B/Scranton Penguins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 118 | 108 | 89 | 4 | 87 | 1022 | 1057 | 990 | 20 | 81 | 28 | 15 | 61 | 7 | 1 | 14.29% | 5 | 3 | 40.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 66.7% | 10.3% | 91.4% | 101.7 | LUCKY |
26 | Roadrunners | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 118 | 108 | 89 | 4 | 40 | 1022 | 1057 | 990 | 20 | 38 | 8 | 10 | 19 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 66.7% | 10.0% | 92.1% | 102.1 | LUCKY |
27 | Crunch | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 16 | 11 | 10 | 0.833 | 27 | 51 | 78 | 0 | 0 | 118 | 108 | 89 | 4 | 211 | 1022 | 1057 | 990 | 20 | 213 | 67 | 55 | 181 | 19 | 5 | 26.32% | 24 | 2 | 91.67% | 1 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 61.1% | 12.8% | 92.5% | 105.3 | LUCKY |
28 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 118 | 108 | 89 | 4 | 43 | 1022 | 1057 | 990 | 20 | 39 | 13 | 8 | 25 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 16.7% | 7.0% | 84.6% | 91.6 | Unlucky |
29 | Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 118 | 108 | 89 | 4 | 31 | 1022 | 1057 | 990 | 20 | 52 | 15 | 8 | 21 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 33.3% | 3.2% | 94.2% | 97.5 | DULL |
30 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 118 | 108 | 89 | 4 | 31 | 1022 | 1057 | 990 | 20 | 44 | 11 | 12 | 31 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 50.0% | 9.7% | 95.5% | 105.1 | LUCKY |
31 | Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 118 | 108 | 89 | 4 | 16 | 1022 | 1057 | 990 | 20 | 46 | 9 | 6 | 15 | 4 | 1 | 25.00% | 3 | 2 | 33.33% | 0 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 33.3% | 12.5% | 91.3% | 103.8 | LUCKY |
_Vs Division | 44 | 19 | 21 | 0 | 1 | 3 | 0 | 0 | 164 | 171 | -7 | 43 | 0.489 | 164 | 291 | 455 | 3 | 1 | 118 | 108 | 89 | 4 | 1647 | 1022 | 1057 | 990 | 20 | 1632 | 452 | 333 | 1031 | 170 | 38 | 22.35% | 140 | 33 | 76.43% | 3 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 47.7% | 10.0% | 89.5% | 99.5 | FUN | |
_Vs Conference | 61 | 26 | 26 | 0 | 2 | 6 | 0 | 1 | 244 | 243 | 1 | 63 | 0.516 | 244 | 439 | 683 | 3 | 2 | 118 | 108 | 89 | 4 | 2354 | 1022 | 1057 | 990 | 20 | 2302 | 670 | 444 | 1443 | 231 | 52 | 22.51% | 192 | 43 | 77.60% | 3 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 49.0% | 10.4% | 89.4% | 99.8 | FUN | |
_Since Last GM Reset | 82 | 37 | 34 | 0 | 4 | 6 | 0 | 1 | 319 | 314 | 5 | 89 | 0.543 | 319 | 572 | 891 | 5 | 2 | 118 | 108 | 89 | 4 | 3085 | 1022 | 1057 | 990 | 20 | 3208 | 919 | 611 | 1927 | 304 | 68 | 22.37% | 271 | 60 | 77.86% | 4 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 49.7% | 10.3% | 90.2% | 100.6 | FUN | |
Total | 82 | 37 | 34 | 0 | 4 | 6 | 0 | 1 | 319 | 314 | 5 | 89 | 0.543 | 319 | 572 | 891 | 5 | 2 | 118 | 108 | 89 | 4 | 3085 | 1022 | 1057 | 990 | 20 | 3208 | 919 | 611 | 1927 | 304 | 68 | 22.37% | 271 | 60 | 77.86% | 4 | 1463 | 3135 | 46.67% | 1533 | 3388 | 45.25% | 681 | 1404 | 48.50% | 1863 | 1269 | 2022 | 621 | 1055 | 518 | 49.7% | 10.3% | 90.2% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 3135 |
Neutral Zone Start | 1404 |
Defensive Zone Start | 3388 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3677 |
Faceoffs Lost | 4250 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.5 | 9.57 |
2nd Period | 25.4 | 20.31 |
3rd Period | 37.4 | 30.68 |
Overtime | 37.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.8 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.9 | 2.83 |
Even Strenght Goal | 242 |
---|---|
PP Goal | 68 |
PK Goal | 4 |
Empty Net Goal | 5 |
Home | Away | |
---|---|---|
Win | 22 | 19 |
Lost | 14 | 20 |
Overtime Lost | 5 | 2 |
PP Attempt | 304 |
---|---|
PP Goal | 68 |
PK Attempt | 271 |
PK Goal Against | 60 |
Home | |
---|---|
Shots For | 37.6 |
Shots Against | 39.1 |
Goals For | 3.9 |
Goals Against | 3.8 |
Hits | 23.5 |
Shots Blocked | 11.2 |
Pim | 7.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,904,442$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Binghamton | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 59603 | 39047 | |||
Attendance PCT | 72.69% | 95.24% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2406 - 80.20% | 97,097$ | 3,980,996$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,904,442$ | 2,853,545$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
484,065$ | 0$ | 484,065$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 15,615$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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