Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dmytro Timashov | 86 | LW/RW | 100.00 | 86 | 37 | 89 | 64 | 70 | 87 | 84 | 65 | 59 | 63 | 62 | 66 | 68 | 69 | 67 | 0 | 50 | 71 | 26 | 1,092,000$/1yrs | |||
John Leonard | 43 | LW | 100.00 | 62 | 36 | 85 | 66 | 72 | 84 | 86 | 67 | 63 | 67 | 65 | 59 | 68 | 66 | 64 | 0 | 50 | 69 | 24 | 943,750$/2yrs | |||
Gabriel Dumont (C) | 22 | C | 100.00 | 62 | 53 | 74 | 62 | 69 | 80 | 83 | 61 | 73 | 65 | 66 | 61 | 63 | 72 | 77 | 0 | 50 | 68 | 32 | 909,000$/1yrs | |||
Stefan Matteau | 28 | C | 100.00 | 78 | 44 | 79 | 59 | 82 | 78 | 66 | 57 | 71 | 60 | 58 | 64 | 56 | 68 | 70 | 0 | 50 | 67 | 29 | 850,000$/1yrs | |||
Kyle Criscuolo | 42 | C | 100.00 | 63 | 35 | 77 | 66 | 69 | 83 | 76 | 63 | 74 | 67 | 59 | 56 | 64 | 70 | 72 | 0 | 50 | 67 | 30 | 966,500$/2yrs | |||
Lane Pederson | 29 | C | 100.00 | 68 | 36 | 81 | 62 | 74 | 82 | 79 | 60 | 76 | 62 | 61 | 59 | 63 | 66 | 67 | 0 | 50 | 67 | 25 | 750,000$/2yrs | |||
Nate Schnarr (R) | 16 | C | 100.00 | 70 | 36 | 84 | 59 | 79 | 82 | 87 | 58 | 67 | 60 | 59 | 57 | 61 | 63 | 65 | 0 | 50 | 66 | 24 | 822,084$/2yrs | |||
Pierre-Cedric Labrie (A) | 36 | LW/RW | 100.00 | 80 | 43 | 72 | 53 | 89 | 69 | 84 | 54 | 57 | 55 | 56 | 59 | 55 | 76 | 78 | 0 | 50 | 66 | 36 | 1,010,400$/2yrs | |||
Pavel Gogolev | 20 | LW | 100.00 | 63 | 37 | 92 | 60 | 72 | 71 | 62 | 58 | 62 | 59 | 60 | 56 | 59 | 62 | 64 | 0 | 50 | 64 | 23 | 1,124,778$/3yrs | |||
Dennis Yan | 12 | LW | 100.00 | 68 | 34 | 76 | 54 | 77 | 81 | 83 | 55 | 52 | 56 | 57 | 58 | 54 | 65 | 67 | 0 | 50 | 64 | 26 | 846,000$/1yrs | |||
Brandon Gignac | 37 | LW/RW | 100.00 | 57 | 36 | 92 | 61 | 66 | 82 | 76 | 59 | 63 | 60 | 58 | 57 | 61 | 65 | 67 | 0 | 50 | 64 | 25 | 1,392,000$/1yrs | |||
Libor Hajek | 25 | D | 100.00 | 71 | 31 | 84 | 66 | 85 | 80 | 74 | 63 | 30 | 64 | 59 | 67 | 53 | 64 | 66 | 0 | 50 | 70 | 25 | 946,328$/2yrs | |||
Noah Juulsen | 47 | D | 100.00 | 79 | 36 | 87 | 63 | 81 | 83 | 79 | 59 | 30 | 66 | 59 | 67 | 50 | 65 | 67 | 0 | 50 | 70 | 26 | 843,750$/2yrs | |||
Kale Clague | 38 | D | 100.00 | 61 | 36 | 81 | 69 | 72 | 85 | 77 | 67 | 30 | 73 | 59 | 60 | 52 | 64 | 66 | 0 | 50 | 69 | 24 | 855,826$/2yrs | |||
Jacob Moverare | 57 | D | 100.00 | 72 | 39 | 91 | 60 | 85 | 82 | 76 | 59 | 30 | 62 | 56 | 65 | 49 | 64 | 66 | 0 | 50 | 68 | 24 | 917,667$/3yrs | |||
Trevor Carrick | 3 | D | 100.00 | 66 | 41 | 73 | 58 | 75 | 72 | 90 | 57 | 30 | 60 | 56 | 59 | 46 | 68 | 70 | 0 | 50 | 66 | 28 | 750,000$/2yrs | |||
Robbie Russo | 44 | D | 100.00 | 64 | 37 | 87 | 59 | 73 | 69 | 93 | 58 | 30 | 64 | 53 | 57 | 46 | 69 | 71 | 0 | 50 | 65 | 30 | 800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Seth Griffith | 15 | C | 100.00 | 60 | 37 | 91 | 64 | 67 | 76 | 87 | 63 | 73 | 64 | 62 | 59 | 64 | 70 | 71 | 0 | 50 | 67 | 30 | 820,333$/3yrs | |||
Carson Focht | 8 | C | 100.00 | 63 | 37 | 71 | 58 | 69 | 73 | 74 | 57 | 63 | 56 | 55 | 54 | 58 | 62 | 64 | 0 | 50 | 62 | 23 | 883,333$/2yrs | |||
Alexandre Fortin | 26 | LW | 100.00 | 62 | 37 | 93 | 57 | 71 | 78 | 66 | 56 | 53 | 54 | 55 | 52 | 57 | 65 | 67 | 0 | 50 | 62 | 26 | 750,000$/1yrs | |||
Chad Yetman | 65 | RW | 100.00 | 59 | 36 | 91 | 58 | 68 | 69 | 63 | 56 | 51 | 57 | 54 | 53 | 56 | 62 | 64 | 0 | 50 | 61 | 23 | 750,000$/1yrs | |||
Chris Bigras | 23 | D | 100.00 | 67 | 39 | 87 | 58 | 76 | 66 | 71 | 57 | 30 | 56 | 55 | 54 | 46 | 67 | 69 | 0 | 50 | 63 | 28 | 891,000$/1yrs | |||
Jack Dougherty | 32 | D | 100.00 | 61 | 38 | 94 | 59 | 80 | 61 | 68 | 56 | 30 | 54 | 52 | 54 | 45 | 66 | 68 | 0 | 50 | 62 | 26 | 862,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Christopher Gibson | 33 | 100.00 | 75 | 71 | 70 | 84 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 84 | 0 | 50 | 77 | 30 | 1,107,000$/2yrs |
Jack LaFontaine | 34 | 100.00 | 70 | 71 | 70 | 81 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 64 | 71 | 0 | 50 | 72 | 25 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
Veini Vehvilainen | 61 | 100.00 | 70 | 82 | 80 | 71 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 67 | 71 | 0 | 50 | 72 | 26 | 1,300,000$/1yrs |
Hugo Alnefelt | 80 | 100.00 | 65 | 72 | 73 | 76 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 61 | 65 | 0 | 50 | 68 | 21 | 925,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dany Dube | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 56 | 4 | 0$ |
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 | John Leonard | Crunch (TAM) | LW | 75 | 31 | 35 | 66 | -10 | 14 | 0 | 61 | 298 | 85 | 246 | 10.40% | 19 | 22.71 | 3 | 10 | 13 | 0 | 0 | 0 | 155 | 3 | 0 | 45.14% | 0 | 0 | 0.88 | 3 | 3 | 0.92 | |||
2 | Dmytro Timashov | Crunch (TAM) | LW/RW | 67 | 29 | 33 | 62 | -21 | 56 | 0 | 232 | 266 | 80 | 185 | 10.90% | 18 | 22.37 | 7 | 10 | 17 | 0 | 1 | 1 | 69 | 5 | 0 | 45.67% | 1 | 0 | 0.93 | 0 | 2 | 0.82 | |||
3 | Libor Hajek | Crunch (TAM) | D | 76 | 11 | 42 | 53 | -3 | 24 | 0 | 110 | 150 | 47 | 92 | 7.33% | 138 | 22.97 | 6 | 7 | 13 | 0 | 1 | 1 | 158 | 2 | 0 | 0.00% | 1 | 0 | 0.70 | 0 | 0 | 0.68 | |||
4 | Brandon Gignac | Crunch (TAM) | LW/RW | 79 | 19 | 34 | 53 | -6 | 8 | 0 | 23 | 199 | 48 | 153 | 9.55% | 7 | 19.31 | 3 | 10 | 13 | 1 | 0 | 1 | 145 | 2 | 0 | 40.88% | 0 | 0 | 0.67 | 0 | 1 | 0.65 | |||
5 | Jacob Moverare | Crunch (TAM) | D | 82 | 15 | 35 | 50 | -34 | 56 | 0 | 167 | 117 | 41 | 99 | 12.82% | 116 | 20.38 | 5 | 9 | 14 | 0 | 1 | 1 | 171 | 1 | 0 | 0.00% | 1 | 0 | 0.61 | 0 | 0 | 0.39 | |||
6 | Gabriel Dumont | Crunch (TAM) | C | 80 | 19 | 28 | 47 | -18 | 33 | 15 | 74 | 246 | 69 | 165 | 7.72% | 12 | 18.72 | 2 | 8 | 10 | 0 | 0 | 0 | 93 | 2 | 3 | 51.77% | 1 | 0 | 0.59 | 0 | 3 | 0.54 | |||
7 | Stefan Matteau | Crunch (TAM) | C | 82 | 18 | 22 | 40 | 0 | 32 | 0 | 151 | 198 | 50 | 118 | 9.09% | 17 | 15.63 | 4 | 4 | 8 | 0 | 0 | 0 | 108 | 2 | 0 | 51.46% | 0 | 1 | 0.49 | 0 | 1 | 0.51 | |||
8 | Noah Juulsen | Crunch (TAM) | D | 82 | 7 | 32 | 39 | -5 | 74 | 0 | 176 | 153 | 66 | 114 | 4.58% | 159 | 23.81 | 4 | 7 | 11 | 0 | 0 | 0 | 160 | 1 | 1 | 0.00% | 0 | 0 | 0.48 | 0 | 0 | 0.45 | |||
9 | Pierre-Cedric Labrie | Crunch (TAM) | LW/RW | 81 | 12 | 24 | 36 | -13 | 48 | 0 | 215 | 130 | 30 | 96 | 9.23% | 23 | 17.37 | 4 | 9 | 13 | 0 | 0 | 0 | 7 | 1 | 0 | 43.44% | 0 | 0 | 0.44 | 0 | 0 | 0.36 | |||
10 | Kyle Criscuolo | Crunch (TAM) | C | 65 | 7 | 24 | 31 | -17 | 6 | 0 | 67 | 140 | 50 | 112 | 5.00% | 12 | 14.68 | 1 | 1 | 2 | 0 | 0 | 0 | 13 | 0 | 0 | 50.36% | 1 | 0 | 0.48 | 1 | 1 | 0.42 | |||
11 | Kale Clague | Crunch (TAM) | D | 53 | 4 | 25 | 29 | -29 | 14 | 0 | 52 | 75 | 25 | 49 | 5.33% | 61 | 18.21 | 3 | 10 | 13 | 0 | 0 | 0 | 78 | 1 | 0 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.31 | |||
12 | Lane Pederson | Crunch (TAM) | C | 80 | 17 | 11 | 28 | -17 | 12 | 0 | 54 | 163 | 32 | 75 | 10.43% | 21 | 11.64 | 2 | 2 | 4 | 0 | 0 | 0 | 33 | 2 | 1 | 52.06% | 0 | 0 | 0.35 | 0 | 1 | 0.34 | |||
13 | Trevor Carrick | Crunch (TAM) | D | 77 | 11 | 13 | 24 | -14 | 78 | 10 | 149 | 75 | 35 | 43 | 14.67% | 96 | 17.84 | 1 | 3 | 4 | 1 | 0 | 1 | 112 | 0 | 1 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.17 | |||
14 | Pavel Gogolev | Crunch (TAM) | LW | 81 | 10 | 13 | 23 | -13 | 8 | 0 | 33 | 111 | 37 | 79 | 9.01% | 5 | 10.50 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 51.39% | 0 | 0 | 0.28 | 1 | 1 | 0.26 | |||
15 | Robbie Russo | Crunch (TAM) | D | 80 | 6 | 16 | 22 | -9 | 26 | 0 | 68 | 74 | 19 | 36 | 8.11% | 74 | 16.38 | 4 | 1 | 5 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.22 | |||
16 | Nate Schnarr | Crunch (TAM) | C | 75 | 3 | 11 | 14 | -20 | 12 | 0 | 54 | 60 | 22 | 58 | 5.00% | 6 | 8.33 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 45.73% | 0 | 0 | 0.19 | 0 | 1 | 0.09 | |||
17 | Dennis Yan | Crunch (TAM) | LW | 82 | 4 | 7 | 11 | -13 | 10 | 0 | 69 | 61 | 22 | 57 | 6.56% | 9 | 9.05 | 2 | 1 | 3 | 0 | 0 | 0 | 47 | 0 | 2 | 36.46% | 0 | 0 | 0.13 | 0 | 1 | 0.10 | |||
18 | Chris Bigras | Crunch (TAM) | D | 42 | 1 | 8 | 9 | -9 | 16 | 0 | 50 | 32 | 10 | 23 | 3.13% | 43 | 16.22 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.15 | |||
19 | Carson Focht | Crunch (TAM) | C | 26 | 2 | 1 | 3 | 0 | 8 | 0 | 9 | 14 | 2 | 9 | 14.29% | 1 | 3.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.48% | 0 | 0 | 0.12 | 0 | 0 | 0.08 | |||
20 | Jack Dougherty | Crunch (TAM) | D | 9 | 0 | 2 | 2 | -1 | 4 | 0 | 4 | 6 | 2 | 3 | 0.00% | 11 | 17.95 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.15 | |||
21 | Seth Griffith | Crunch (TAM) | C | 30 | 1 | 0 | 1 | -1 | 0 | 0 | 1 | 5 | 1 | 3 | 20.00% | 0 | 0.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.03 | 0 | 0 | 0.03 | |||
22 | Alexandre Fortin | Crunch (TAM) | LW | 13 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 50.00% | 0 | 1.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.10 | |||
23 | Chad Yetman | Crunch (TAM) | RW | 9 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 4 | 1 | 6 | 0.00% | 0 | 7.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 1426 | 228 | 416 | 644 | -253 | 539 | 25 | 1820 | 2579 | 774 | 1822 | 8.84% | 848 | 16.18 | 52 | 92 | 144 | 2319 | 2 | 3 | 5 | 1466 | 24 | 8 | 49.52% | 6296 | 0 | 0 | 5 | 1 | 0.56 | 5 | 15 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Christopher Gibson | Crunch (TAM) | 59 | 14 | 34 | 7 | 0.884 | 4.25 | 3204 | 2 | 0 | 227 | 1960 | 0 | 2 | 1 | 0.333 | 6 | 56 | 19 | 3 | 1 | 2 |
2 | Jack LaFontaine | Crunch (TAM) | 31 | 12 | 10 | 1 | 0.910 | 3.24 | 1501 | 8 | 1 | 81 | 905 | 0 | 3 | 0 | 0.667 | 6 | 22 | 58 | 2 | 2 | 0 |
3 | Veini Vehvilainen | Crunch (TAM) | 4 | 1 | 3 | 0 | 0.905 | 2.95 | 244 | 0 | 0 | 12 | 126 | 0 | 0 | 0 | 0.750 | 4 | 4 | 5 | 0 | 0 | 0 |
Team Total or Average | 94 | 27 | 47 | 8 | 0.893 | 3.88 | 4950 | 10 | 1 | 320 | 2991 | 0 | 5 | 1 | 0.563 | 16 | 82 | 82 | 5 | 3 | 2 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Fortin | LW | 26 | 750,000$ | 700,000$ | UFA | ||||||
Brandon Gignac | LW/RW | 25 | 1,392,000$ | 1,392,000$ | RFA | ||||||
Carson Focht | C | 23 | 883,333$ | 883,333$ | 883,333$ | RFA | |||||
Chad Yetman | RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Chris Bigras | D | 28 | 891,000$ | 891,000$ | UFA | ||||||
Christopher Gibson | G | 30 | 1,107,000$ | 1,464,000$ | 750,000$ | UFA | |||||
Dennis Yan | LW | 26 | 846,000$ | 846,000$ | UFA | ||||||
Dmytro Timashov | LW/RW | 26 | 1,092,000$ | 1,092,000$ | UFA | ||||||
Gabriel Dumont | C | 32 | 909,000$ | 909,000$ | UFA | ||||||
Hugo Alnefelt | G | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jack Dougherty | D | 26 | 862,000$ | 862,000$ | UFA | ||||||
Jack LaFontaine | G | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Jacob Moverare | D | 24 | 917,667$ | 1,228,000$ | 762,500$ | 762,500$ | UFA | ||||
John Leonard | LW | 24 | 943,750$ | 1,137,500$ | 750,000$ | RFA | |||||
Kale Clague | D | 24 | 855,826$ | 961,652$ | 750,000$ | RFA | |||||
Kyle Criscuolo | C | 30 | 966,500$ | 1,183,000$ | 750,000$ | UFA | |||||
Lane Pederson | C | 25 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Libor Hajek | D | 25 | 946,328$ | 1,092,656$ | 800,000$ | UFA | |||||
Nate Schnarr | C | 24 | 822,084$ | 894,167$ | 750,000$ | RFA | |||||
Noah Juulsen | D | 26 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Pavel Gogolev | LW | 23 | 1,124,778$ | 1,700,000$ | 837,167$ | 837,167$ | RFA | ||||
Pierre-Cedric Labrie | LW/RW | 36 | 1,010,400$ | 750,000$ | 1,270,800$ | UFA | |||||
Robbie Russo | D | 30 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Seth Griffith | C | 30 | 820,333$ | 936,000$ | 762,500$ | 762,500$ | UFA | ||||
Stefan Matteau | C | 29 | 850,000$ | 850,000$ | UFA | ||||||
Trevor Carrick | D | 28 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Veini Vehvilainen | G | 26 | 1,300,000$ | 1,300,000$ | UFA |
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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 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 23 | -3 | 6 | 0.500 | 20 | 38 | 58 | 0 | 0 | 89 | 75 | 79 | 8 | 197 | 959 | 939 | 902 | 43 | 221 | 69 | 40 | 123 | 31 | 7 | 22.58% | 19 | 6 | 68.42% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 43.3% | 10.2% | 89.6% | 99.7 | FUN |
2 | Marlies | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 4 | 0.333 | 19 | 36 | 55 | 0 | 0 | 89 | 75 | 79 | 8 | 209 | 959 | 939 | 902 | 43 | 214 | 54 | 24 | 167 | 23 | 5 | 21.74% | 12 | 5 | 58.33% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 43.8% | 9.1% | 89.3% | 98.3 | FUN |
3 | Americans | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 20 | 27 | -7 | 5 | 0.417 | 20 | 37 | 57 | 0 | 0 | 89 | 75 | 79 | 8 | 198 | 959 | 939 | 902 | 43 | 247 | 69 | 44 | 137 | 24 | 2 | 8.33% | 21 | 7 | 66.67% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 47.4% | 10.1% | 89.1% | 99.2 | FUN |
4 | Binghamton Senateurs | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 16 | 27 | -11 | 2 | 0.167 | 16 | 30 | 46 | 0 | 0 | 89 | 75 | 79 | 8 | 213 | 959 | 939 | 902 | 43 | 211 | 50 | 45 | 145 | 24 | 2 | 8.33% | 19 | 5 | 73.68% | 1 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 38.9% | 7.5% | 87.2% | 94.7 | Unlucky |
5 | Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 89 | 75 | 79 | 8 | 78 | 959 | 939 | 902 | 43 | 63 | 17 | 12 | 30 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 33.3% | 6.4% | 87.3% | 93.7 | Unlucky |
6 | Rockets | 6 | 2 | 2 | 0 | 1 | 0 | 0 | 1 | 22 | 21 | 1 | 7 | 0.583 | 22 | 39 | 61 | 0 | 0 | 89 | 75 | 79 | 8 | 199 | 959 | 939 | 902 | 43 | 230 | 68 | 50 | 147 | 23 | 8 | 34.78% | 22 | 5 | 77.27% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 46.7% | 11.1% | 90.9% | 101.9 | FUN |
7 | Providence Bruins | 6 | 1 | 4 | 0 | 0 | 1 | 0 | 0 | 17 | 26 | -9 | 3 | 0.250 | 17 | 30 | 47 | 0 | 0 | 89 | 75 | 79 | 8 | 207 | 959 | 939 | 902 | 43 | 245 | 60 | 26 | 129 | 22 | 4 | 18.18% | 13 | 5 | 61.54% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 38.2% | 8.2% | 89.4% | 97.6 | Unlucky |
8 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 89 | 75 | 79 | 8 | 84 | 959 | 939 | 902 | 43 | 78 | 16 | 17 | 46 | 11 | 3 | 27.27% | 4 | 1 | 75.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 40.0% | 8.3% | 91.0% | 99.4 | Unlucky |
9 | Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 89 | 75 | 79 | 8 | 39 | 959 | 939 | 902 | 43 | 43 | 14 | 4 | 24 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 33.3% | 7.7% | 88.4% | 96.1 | Unlucky |
10 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 89 | 75 | 79 | 8 | 80 | 959 | 939 | 902 | 43 | 73 | 20 | 16 | 45 | 5 | 1 | 20.00% | 8 | 2 | 75.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 50.0% | 11.3% | 86.3% | 97.6 | FUN |
11 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 89 | 75 | 79 | 8 | 50 | 959 | 939 | 902 | 43 | 66 | 19 | 14 | 61 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 50.0% | 8.0% | 90.9% | 98.9 | Unlucky |
12 | islanders | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 14 | -3 | 3 | 0.500 | 11 | 18 | 29 | 0 | 0 | 89 | 75 | 79 | 8 | 84 | 959 | 939 | 902 | 43 | 99 | 36 | 22 | 58 | 14 | 3 | 21.43% | 11 | 4 | 63.64% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 44.4% | 13.1% | 85.9% | 99.0 | FUN |
13 | IceHogs | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 89 | 75 | 79 | 8 | 84 | 959 | 939 | 902 | 43 | 67 | 22 | 6 | 52 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 60.0% | 8.3% | 92.5% | 100.9 | DULL |
14 | Griffins | 6 | 1 | 4 | 0 | 0 | 0 | 0 | 1 | 15 | 27 | -12 | 3 | 0.250 | 15 | 27 | 42 | 0 | 0 | 89 | 75 | 79 | 8 | 209 | 959 | 939 | 902 | 43 | 231 | 59 | 52 | 153 | 14 | 4 | 28.57% | 26 | 6 | 76.92% | 1 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 34.4% | 7.2% | 88.3% | 95.5 | Unlucky |
15 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 13 | 20 | 1 | 0 | 89 | 75 | 79 | 8 | 73 | 959 | 939 | 902 | 43 | 60 | 21 | 10 | 37 | 9 | 1 | 11.11% | 5 | 4 | 20.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 46.2% | 9.6% | 81.7% | 91.3 | FUN |
16 | Barracuda | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 4 | 0.500 | 11 | 20 | 31 | 0 | 0 | 89 | 75 | 79 | 8 | 122 | 959 | 939 | 902 | 43 | 121 | 33 | 21 | 76 | 14 | 2 | 14.29% | 8 | 2 | 75.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 47.4% | 9.0% | 90.1% | 99.1 | FUN |
17 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 89 | 75 | 79 | 8 | 36 | 959 | 939 | 902 | 43 | 38 | 13 | 8 | 22 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 83.3% | 13.9% | 97.4% | 111.3 | LUCKY |
18 | Iowa Wild | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 8 | -5 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 89 | 75 | 79 | 8 | 67 | 959 | 939 | 902 | 43 | 74 | 27 | 16 | 56 | 7 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 37.5% | 4.5% | 89.2% | 93.7 | Unlucky |
19 | Reign | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 89 | 75 | 79 | 8 | 32 | 959 | 939 | 902 | 43 | 28 | 15 | 2 | 20 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 40.0% | 6.3% | 89.3% | 95.5 | Unlucky |
20 | Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 89 | 75 | 79 | 8 | 22 | 959 | 939 | 902 | 43 | 41 | 16 | 8 | 24 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 16.7% | 4.5% | 85.4% | 89.9 | Unlucky |
21 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 89 | 75 | 79 | 8 | 30 | 959 | 939 | 902 | 43 | 35 | 6 | 10 | 19 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 75.0% | 10.0% | 94.3% | 104.3 | LUCKY |
22 | Gulls | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 15 | -9 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 89 | 75 | 79 | 8 | 115 | 959 | 939 | 902 | 43 | 115 | 40 | 23 | 62 | 8 | 2 | 25.00% | 9 | 4 | 55.56% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 26.7% | 5.2% | 87.0% | 92.2 | Unlucky |
23 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 89 | 75 | 79 | 8 | 36 | 959 | 939 | 902 | 43 | 41 | 15 | 12 | 19 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 40.0% | 5.6% | 90.2% | 95.8 | Unlucky |
24 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 89 | 75 | 79 | 8 | 41 | 959 | 939 | 902 | 43 | 56 | 13 | 21 | 22 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 40.0% | 7.3% | 91.1% | 98.4 | Unlucky |
25 | Comets | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 89 | 75 | 79 | 8 | 67 | 959 | 939 | 902 | 43 | 61 | 17 | 20 | 44 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 57.1% | 7.5% | 91.8% | 99.3 | DULL |
26 | W-B/Scranton Penguins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 89 | 75 | 79 | 8 | 72 | 959 | 939 | 902 | 43 | 64 | 19 | 10 | 43 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 58.3% | 9.7% | 92.2% | 101.9 | LUCKY |
27 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 89 | 75 | 79 | 8 | 42 | 959 | 939 | 902 | 43 | 28 | 7 | 10 | 17 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 60.0% | 11.9% | 92.9% | 104.8 | LUCKY |
28 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 89 | 75 | 79 | 8 | 31 | 959 | 939 | 902 | 43 | 39 | 15 | 2 | 22 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 80.0% | 12.9% | 94.9% | 107.8 | LUCKY |
29 | Moose | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 89 | 75 | 79 | 8 | 38 | 959 | 939 | 902 | 43 | 46 | 14 | 10 | 31 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 66.7% | 10.5% | 93.5% | 104.0 | LUCKY |
30 | Silver Knights | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 89 | 75 | 79 | 8 | 43 | 959 | 939 | 902 | 43 | 24 | 10 | 4 | 28 | 6 | 2 | 33.33% | 2 | 2 | 0.00% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 40.0% | 9.3% | 79.2% | 88.5 | FUN |
31 | Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 89 | 75 | 79 | 8 | 29 | 959 | 939 | 902 | 43 | 33 | 12 | 6 | 22 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 0.0% | 0.0% | 81.8% | 81.8 | Unlucky |
_Vs Division | 42 | 12 | 25 | 0 | 1 | 1 | 0 | 3 | 129 | 174 | -45 | 30 | 0.357 | 129 | 237 | 366 | 0 | 0 | 89 | 75 | 79 | 8 | 1432 | 959 | 939 | 902 | 43 | 1599 | 429 | 281 | 1001 | 161 | 32 | 19.88% | 132 | 39 | 70.45% | 2 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 41.8% | 9.0% | 89.1% | 98.1 | FUN | |
_Vs Conference | 59 | 16 | 36 | 0 | 2 | 2 | 0 | 3 | 184 | 240 | -56 | 41 | 0.347 | 184 | 335 | 519 | 1 | 0 | 89 | 75 | 79 | 8 | 2020 | 959 | 939 | 902 | 43 | 2163 | 594 | 402 | 1365 | 222 | 43 | 19.37% | 185 | 56 | 69.73% | 2 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 43.4% | 9.1% | 88.9% | 98.0 | FUN | |
_Since Last GM Reset | 82 | 23 | 47 | 0 | 3 | 5 | 1 | 3 | 247 | 324 | -77 | 62 | 0.378 | 247 | 449 | 696 | 1 | 0 | 89 | 75 | 79 | 8 | 2827 | 959 | 939 | 902 | 43 | 2992 | 866 | 565 | 1881 | 290 | 54 | 18.62% | 253 | 77 | 69.57% | 2 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 43.9% | 8.7% | 89.2% | 97.9 | Unlucky | |
Total | 82 | 23 | 47 | 0 | 3 | 5 | 1 | 3 | 247 | 324 | -77 | 62 | 0.378 | 247 | 449 | 696 | 1 | 0 | 89 | 75 | 79 | 8 | 2827 | 959 | 939 | 902 | 43 | 2992 | 866 | 565 | 1881 | 290 | 54 | 18.62% | 253 | 77 | 69.57% | 2 | 1563 | 3129 | 49.95% | 1583 | 3177 | 49.83% | 703 | 1345 | 52.27% | 1941 | 1324 | 1940 | 605 | 1073 | 537 | 43.9% | 8.7% | 89.2% | 97.9 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3129 |
Neutral Zone Start | 1345 |
Defensive Zone Start | 3177 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3849 |
Faceoffs Lost | 3802 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.1 | 30.68 |
Overtime | 34.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 190 |
---|---|
PP Goal | 54 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 11 |
Lost | 21 | 26 |
Overtime Lost | 4 | 4 |
PP Attempt | 290 |
---|---|
PP Goal | 54 |
PK Attempt | 253 |
PK Goal Against | 77 |
Home | |
---|---|
Shots For | 34.5 |
Shots Against | 36.5 |
Goals For | 3.0 |
Goals Against | 4.0 |
Hits | 22.9 |
Shots Blocked | 10.6 |
Pim | 6.9 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,698,481$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Syracuse | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 38$ | 18$ | $ | $ | $ |
Attendance | 55211 | 28924 | |||
Attendance PCT | 67.33% | 70.55% | 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 | 2052 - 68.40% | 95,166$ | 3,901,786$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,698,481$ | 2,510,875$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
449,748$ | 0$ | 449,748$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 14,508$ | 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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