Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael McLeod | 20 | C | 100.00 | 78 | 76 | 77 | 67 | 78 | 83 | 90 | 66 | 88 | 65 | 64 | 80 | 63 | 66 | 65 | 0 | 50 | 74 | 25 | 1,096,875$/2yrs | |||
Ryan McLeod | 71 | C | 100.00 | 68 | 42 | 91 | 69 | 82 | 81 | 88 | 68 | 80 | 65 | 64 | 66 | 67 | 63 | 64 | 0 | 50 | 71 | 23 | 1,050,000$/2yrs | |||
Nolan Foote | 25 | LW | 100.00 | 72 | 36 | 91 | 66 | 83 | 81 | 82 | 67 | 59 | 64 | 72 | 61 | 70 | 62 | 64 | 0 | 50 | 71 | 22 | 863,333$/3yrs | |||
Brett Leason | 49 | RW | 100.00 | 77 | 41 | 87 | 61 | 93 | 75 | 88 | 62 | 57 | 60 | 61 | 64 | 62 | 63 | 65 | 0 | 50 | 70 | 23 | 825,000$/3yrs | |||
Matias Maccelli (R) | 63 | LW | 100.00 | 64 | 36 | 86 | 69 | 68 | 84 | 89 | 68 | 74 | 67 | 61 | 63 | 70 | 63 | 64 | 0 | 50 | 70 | 22 | 925,000$/2yrs | |||
Jayden Halbgewachs | 89 | LW | 100.00 | 62 | 36 | 84 | 67 | 63 | 86 | 81 | 66 | 57 | 65 | 61 | 58 | 66 | 65 | 67 | 0 | 50 | 68 | 26 | 997,000$/1yrs | |||
Riley Tufte | 15 | LW | 100.00 | 79 | 81 | 77 | 58 | 96 | 76 | 85 | 61 | 54 | 59 | 60 | 55 | 61 | 64 | 66 | 0 | 50 | 68 | 25 | 872,916$/2yrs | |||
Cody McLeod | 8 | LW | 100.00 | 72 | 85 | 60 | 57 | 81 | 74 | 86 | 56 | 52 | 57 | 58 | 59 | 53 | 78 | 83 | 0 | 50 | 67 | 38 | 750,000$/1yrs | |||
Josh Currie | 41 | RW | 100.00 | 50 | 35 | 95 | 65 | 65 | 73 | 75 | 64 | 69 | 62 | 64 | 61 | 64 | 77 | 75 | 0 | 50 | 67 | 30 | 800,000$/1yrs | |||
Antoine Morand | 0 | C | 100.00 | 60 | 38 | 83 | 58 | 69 | 71 | 88 | 57 | 63 | 56 | 55 | 60 | 57 | 63 | 65 | 0 | 50 | 64 | 24 | 927,500$/1yrs | |||
Damien Giroux | 0 | C | 100.00 | 61 | 38 | 83 | 59 | 68 | 72 | 77 | 58 | 66 | 57 | 59 | 54 | 58 | 62 | 64 | 0 | 50 | 63 | 23 | 850,000$/2yrs | |||
Tobias Bjornfot (C) | 7 | D | 100.00 | 63 | 35 | 87 | 68 | 74 | 87 | 86 | 66 | 30 | 67 | 55 | 73 | 50 | 61 | 63 | 0 | 50 | 71 | 22 | 1,052,500$/2yrs | |||
Jack Rathbone (A) | 3 | D | 100.00 | 61 | 36 | 84 | 68 | 70 | 84 | 73 | 67 | 30 | 66 | 62 | 63 | 55 | 63 | 65 | 0 | 50 | 69 | 23 | 875,000$/3yrs | |||
Lassi Thomson | 60 | D | 100.00 | 64 | 39 | 81 | 66 | 72 | 85 | 82 | 63 | 30 | 67 | 56 | 60 | 51 | 62 | 64 | 0 | 50 | 68 | 22 | 1,288,333$/3yrs | |||
Mikko Kokkonen | 84 | D | 100.00 | 63 | 35 | 93 | 65 | 72 | 80 | 78 | 67 | 30 | 64 | 56 | 59 | 53 | 62 | 63 | 0 | 50 | 67 | 22 | 866,250$/4yrs | |||
Josh Brook | 0 | D | 100.00 | 65 | 53 | 72 | 55 | 74 | 84 | 89 | 55 | 30 | 58 | 54 | 56 | 47 | 63 | 62 | 0 | 50 | 64 | 23 | 910,833$/1yrs | |||
Tim Berni | 75 | D | 100.00 | 62 | 39 | 81 | 59 | 71 | 77 | 83 | 58 | 30 | 56 | 53 | 59 | 45 | 62 | 64 | 0 | 50 | 64 | 23 | 925,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Shane Pinto (A) | 57 | C | 100.00 | 66 | 37 | 74 | 69 | 79 | 80 | 78 | 68 | 85 | 74 | 62 | 81 | 65 | 63 | 66 | 0 | 50 | 74 | 22 | 1,325,000$/2yrs | |||
Andre Lee | 47 | LW | 100.00 | 71 | 42 | 73 | 54 | 91 | 75 | 64 | 53 | 58 | 55 | 50 | 59 | 53 | 62 | 64 | 0 | 50 | 63 | 22 | 925,000$/2yrs | |||
Ryan McGregor | 0 | C | 100.00 | 59 | 37 | 88 | 58 | 68 | 72 | 69 | 57 | 66 | 59 | 55 | 56 | 58 | 63 | 65 | 0 | 50 | 62 | 24 | 803,633$/2yrs | |||
Teemu Kivihalme | 45 | D | 100.00 | 62 | 38 | 82 | 60 | 71 | 67 | 64 | 59 | 30 | 58 | 56 | 54 | 45 | 67 | 69 | 0 | 50 | 63 | 27 | 963,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cayden Primeau | 30 | 100.00 | 75 | 83 | 86 | 84 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 63 | 69 | 0 | 50 | 77 | 23 | 1,058,250$/4yrs |
Adam Huska | 32 | 100.00 | 74 | 72 | 73 | 89 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 65 | 73 | 0 | 50 | 76 | 25 | 1,103,000$/1yrs |
Scratches | ||||||||||||||||||||
David Hrenak | 0 | 100.00 | 75 | 65 | 66 | 79 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 0 | 50 | 75 | 24 | 925,000$/2yrs |
Olle Eriksson Ek | 31 | 100.00 | 68 | 72 | 73 | 81 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 63 | 69 | 0 | 50 | 70 | 23 | 814,444$/2yrs |
Ilya Konovalov | 34 | 100.00 | 65 | 70 | 71 | 73 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 66 | 71 | 0 | 50 | 68 | 24 | 925,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jean-Francois Houle | 66 | 64 | 73 | 69 | 73 | 68 | 78 | CAN | 47 | 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 | Shane Pinto | Rockets (MON) | C | 78 | 42 | 54 | 96 | 28 | 40 | 0 | 134 | 365 | 104 | 270 | 11.51% | 37 | 19.67 | 9 | 13 | 22 | 2 | 1 | 3 | 118 | 6 | 1 | 57.47% | 1 | 3 | 1.23 | 2 | 6 | 1.38 | |||
2 | Nolan Foote | Rockets (MON) | LW | 82 | 42 | 43 | 85 | 13 | 10 | 0 | 96 | 349 | 97 | 225 | 12.03% | 10 | 18.81 | 13 | 17 | 30 | 1 | 0 | 1 | 198 | 8 | 5 | 44.67% | 0 | 1 | 1.04 | 1 | 7 | 1.18 | |||
3 | Michael McLeod | Rockets (MON) | C | 73 | 39 | 38 | 77 | 19 | 67 | 15 | 140 | 267 | 79 | 228 | 14.61% | 37 | 16.72 | 4 | 3 | 7 | 2 | 0 | 2 | 176 | 3 | 4 | 57.64% | 1 | 1 | 1.05 | 0 | 1 | 1.08 | |||
4 | Ryan McLeod | Rockets (MON) | C | 77 | 36 | 37 | 73 | 35 | 14 | 0 | 70 | 288 | 85 | 195 | 12.50% | 22 | 18.83 | 4 | 12 | 16 | 0 | 1 | 1 | 154 | 7 | 2 | 55.97% | 0 | 1 | 0.95 | 1 | 2 | 1.16 | |||
5 | Lassi Thomson | Rockets (MON) | D | 82 | 14 | 52 | 66 | 31 | 60 | 0 | 151 | 129 | 39 | 98 | 10.85% | 102 | 21.98 | 7 | 13 | 20 | 0 | 1 | 1 | 237 | 1 | 2 | 0.00% | 0 | 0 | 0.80 | 0 | 0 | 0.79 | |||
6 | Tobias Bjornfot | Rockets (MON) | D | 82 | 10 | 55 | 65 | 19 | 42 | 0 | 132 | 156 | 68 | 108 | 6.41% | 128 | 23.48 | 7 | 12 | 19 | 1 | 3 | 4 | 242 | 2 | 0 | 0.00% | 0 | 0 | 0.79 | 0 | 0 | 0.79 | |||
7 | Brett Leason | Rockets (MON) | RW | 82 | 27 | 29 | 56 | -4 | 22 | 0 | 129 | 219 | 50 | 167 | 12.33% | 15 | 15.61 | 11 | 11 | 22 | 0 | 0 | 0 | 2 | 4 | 5 | 45.54% | 1 | 0 | 0.68 | 0 | 0 | 0.70 | |||
8 | Matias Maccelli | Rockets (MON) | LW | 82 | 24 | 32 | 56 | 25 | 24 | 0 | 84 | 255 | 58 | 175 | 9.41% | 15 | 19.01 | 4 | 7 | 11 | 1 | 4 | 5 | 226 | 3 | 0 | 48.84% | 0 | 0 | 0.68 | 1 | 7 | 0.83 | |||
9 | Mikko Kokkonen | Rockets (MON) | D | 70 | 9 | 46 | 55 | 11 | 42 | 0 | 88 | 98 | 23 | 61 | 9.18% | 73 | 21.10 | 6 | 13 | 19 | 0 | 0 | 0 | 182 | 2 | 1 | 0.00% | 0 | 0 | 0.79 | 0 | 0 | 0.67 | |||
10 | Jack Rathbone | Rockets (MON) | D | 74 | 8 | 39 | 47 | 19 | 56 | 0 | 103 | 111 | 42 | 62 | 7.21% | 84 | 20.77 | 3 | 12 | 15 | 0 | 1 | 1 | 165 | 1 | 0 | 0.00% | 0 | 0 | 0.64 | 0 | 0 | 0.59 | |||
11 | Jayden Halbgewachs | Rockets (MON) | LW | 82 | 17 | 25 | 42 | 17 | 10 | 0 | 71 | 184 | 52 | 127 | 9.24% | 5 | 14.77 | 1 | 5 | 6 | 0 | 0 | 0 | 1 | 2 | 0 | 32.95% | 0 | 0 | 0.51 | 0 | 3 | 0.62 | |||
12 | Tim Berni | Rockets (MON) | D | 54 | 6 | 20 | 26 | 25 | 32 | 0 | 83 | 59 | 12 | 37 | 10.17% | 68 | 20.15 | 2 | 4 | 6 | 0 | 1 | 1 | 113 | 1 | 0 | 0.00% | 0 | 0 | 0.48 | 0 | 0 | 0.57 | |||
13 | Damien Giroux | Rockets (MON) | C | 70 | 11 | 10 | 21 | 12 | 4 | 0 | 15 | 68 | 21 | 42 | 16.18% | 5 | 8.69 | 0 | 2 | 2 | 0 | 0 | 0 | 39 | 2 | 1 | 45.59% | 0 | 0 | 0.30 | 0 | 0 | 0.33 | |||
14 | Antoine Morand | Rockets (MON) | C | 75 | 7 | 14 | 21 | 8 | 4 | 0 | 22 | 76 | 15 | 62 | 9.21% | 8 | 9.26 | 0 | 0 | 0 | 1 | 0 | 1 | 54 | 2 | 1 | 48.54% | 0 | 0 | 0.28 | 0 | 0 | 0.31 | |||
15 | Cody McLeod | Rockets (MON) | LW | 82 | 7 | 11 | 18 | 13 | 62 | 0 | 151 | 101 | 16 | 62 | 6.93% | 5 | 11.47 | 1 | 1 | 2 | 0 | 0 | 0 | 13 | 1 | 1 | 37.50% | 0 | 0 | 0.22 | 0 | 0 | 0.23 | |||
16 | Riley Tufte | Rockets (MON) | LW | 82 | 8 | 10 | 18 | 2 | 56 | 10 | 131 | 97 | 26 | 73 | 8.25% | 8 | 10.05 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 39.57% | 1 | 0 | 0.22 | 0 | 0 | 0.18 | |||
17 | Teemu Kivihalme | Rockets (MON) | D | 56 | 1 | 15 | 16 | 3 | 26 | 0 | 62 | 26 | 8 | 18 | 3.85% | 49 | 13.98 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.23 | |||
18 | Josh Brook | Rockets (MON) | D | 82 | 2 | 12 | 14 | 6 | 93 | 5 | 163 | 35 | 7 | 25 | 5.71% | 96 | 15.47 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 2 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.08 | |||
19 | Josh Currie | Rockets (MON) | RW | 40 | 7 | 4 | 11 | -11 | 0 | 0 | 6 | 77 | 28 | 54 | 9.09% | 5 | 11.07 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 1 | 46.81% | 0 | 0 | 0.28 | 0 | 0 | 0.28 | |||
20 | Andre Lee | Rockets (MON) | LW | 26 | 1 | 2 | 3 | 4 | 8 | 0 | 14 | 23 | 4 | 24 | 4.35% | 2 | 9.23 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 48.15% | 0 | 0 | 0.12 | 0 | 0 | 0.18 | |||
21 | Ryan McGregor | Rockets (MON) | C | 6 | 0 | 1 | 1 | -4 | 0 | 0 | 5 | 7 | 3 | 4 | 0.00% | 3 | 8.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72.22% | 0 | 0 | 0.17 | 0 | 0 | 0.03 | |||
Team Total or Average | 1437 | 318 | 549 | 867 | 271 | 672 | 30 | 1850 | 2990 | 837 | 2117 | 10.64% | 777 | 16.34 | 73 | 125 | 198 | 2324 | 8 | 12 | 20 | 2051 | 48 | 24 | 53.69% | 6389 | 0 | 0 | 4 | 6 | 0.74 | 5 | 26 |
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 | Cayden Primeau | Rockets (MON) | 50 | 34 | 11 | 4 | 0.909 | 3.06 | 2903 | 4 | 0 | 148 | 1622 | 0 | 3 | 1 | 0.765 | 17 | 49 | 33 | 6 | 0 | 2 |
2 | Adam Huska | Rockets (MON) | 36 | 19 | 12 | 2 | 0.912 | 3.00 | 2058 | 6 | 1 | 103 | 1170 | 0 | 2 | 1 | 0.700 | 10 | 33 | 49 | 4 | 1 | 1 |
Team Total or Average | 86 | 53 | 23 | 6 | 0.910 | 3.04 | 4961 | 10 | 1 | 251 | 2792 | 0 | 5 | 2 | 0.741 | 27 | 82 | 82 | 10 | 1 | 3 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Huska | G | 25 | 1,103,000$ | 1,103,000$ | RFA | ||||||
Andre Lee | LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Antoine Morand | C | 24 | 927,500$ | 927,500$ | RFA | ||||||
Brett Leason | RW | 23 | 825,000$ | 925,000$ | 775,000$ | 775,000$ | UFA | ||||
Cayden Primeau | G | 23 | 1,058,250$ | 1,563,000$ | 890,000$ | 890,000$ | 890,000$ | UFA | |||
Cody McLeod | LW | 38 | 750,000$ | 750,000$ | UFA | ||||||
Damien Giroux | C | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
David Hrenak | G | 24 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Ilya Konovalov | G | 24 | 925,000$ | 925,000$ | RFA | ||||||
Jack Rathbone | D | 23 | 875,000$ | 925,000$ | 850,000$ | 850,000$ | RFA | ||||
Jayden Halbgewachs | LW | 26 | 997,000$ | 997,000$ | UFA | ||||||
Josh Brook | D | 23 | 910,833$ | 910,833$ | RFA | ||||||
Josh Currie | RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Lassi Thomson | D | 22 | 1,288,333$ | 1,288,333$ | 1,288,333$ | 1,288,333$ | RFA | ||||
Matias Maccelli | LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Michael McLeod | C | 25 | 1,096,875$ | 1,218,750$ | 975,000$ | UFA | |||||
Mikko Kokkonen | D | 22 | 866,250$ | 925,000$ | 846,667$ | 846,667$ | 846,667$ | RFA | |||
Nolan Foote | LW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Olle Eriksson Ek | G | 23 | 814,444$ | 878,889$ | 750,000$ | RFA | |||||
Riley Tufte | LW | 25 | 872,916$ | 995,833$ | 750,000$ | UFA | |||||
Ryan McGregor | C | 24 | 803,633$ | 803,633$ | 803,633$ | RFA | |||||
Ryan McLeod | C | 23 | 1,050,000$ | 1,302,000$ | 798,000$ | RFA | |||||
Shane Pinto | C | 22 | 1,325,000$ | 1,325,000$ | 1,325,000$ | RFA | |||||
Teemu Kivihalme | D | 27 | 963,000$ | 963,000$ | UFA | ||||||
Tim Berni | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Tobias Bjornfot | D | 22 | 1,052,500$ | 1,052,500$ | 1,052,500$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Checkers | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 12 | 11 | 10 | 0.833 | 23 | 44 | 67 | 0 | 0 | 118 | 110 | 97 | 8 | 225 | 999 | 999 | 1061 | 58 | 169 | 49 | 59 | 111 | 24 | 8 | 33.33% | 21 | 5 | 76.19% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 68.2% | 10.2% | 92.9% | 103.1 | LUCKY |
2 | Marlies | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 21 | 14 | 7 | 10 | 0.833 | 21 | 39 | 60 | 1 | 0 | 118 | 110 | 97 | 8 | 218 | 999 | 999 | 1061 | 58 | 191 | 55 | 30 | 131 | 33 | 6 | 18.18% | 13 | 1 | 92.31% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 53.6% | 9.6% | 92.7% | 102.3 | LUCKY |
3 | Americans | 6 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 30 | 23 | 7 | 9 | 0.750 | 30 | 55 | 85 | 0 | 0 | 118 | 110 | 97 | 8 | 273 | 999 | 999 | 1061 | 58 | 245 | 64 | 64 | 148 | 24 | 8 | 33.33% | 32 | 6 | 81.25% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 56.4% | 11.0% | 90.6% | 101.6 | FUN |
4 | Binghamton Senateurs | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 26 | 17 | 9 | 10 | 0.833 | 26 | 45 | 71 | 0 | 0 | 118 | 110 | 97 | 8 | 237 | 999 | 999 | 1061 | 58 | 194 | 54 | 53 | 140 | 21 | 9 | 42.86% | 23 | 4 | 82.61% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 56.7% | 11.0% | 91.2% | 102.2 | LUCKY |
5 | Bears | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 4 | 1.000 | 13 | 25 | 38 | 0 | 0 | 118 | 110 | 97 | 8 | 89 | 999 | 999 | 1061 | 58 | 64 | 20 | 20 | 52 | 11 | 3 | 27.27% | 7 | 3 | 57.14% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 66.7% | 14.6% | 87.5% | 102.1 | FUN |
6 | Providence Bruins | 6 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 26 | 21 | 5 | 9 | 0.750 | 26 | 43 | 69 | 0 | 0 | 118 | 110 | 97 | 8 | 238 | 999 | 999 | 1061 | 58 | 201 | 63 | 49 | 134 | 31 | 6 | 19.35% | 18 | 2 | 88.89% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 51.3% | 10.9% | 89.6% | 100.5 | FUN |
7 | Wolves | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 4 | 0.667 | 13 | 22 | 35 | 0 | 0 | 118 | 110 | 97 | 8 | 103 | 999 | 999 | 1061 | 58 | 105 | 34 | 24 | 72 | 10 | 3 | 30.00% | 10 | 1 | 90.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 55.6% | 12.6% | 91.4% | 104.0 | LUCKY |
8 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 118 | 110 | 97 | 8 | 34 | 999 | 999 | 1061 | 58 | 28 | 7 | 2 | 28 | 6 | 2 | 33.33% | 1 | 1 | 0.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 60.0% | 14.7% | 89.3% | 104.0 | FUN |
9 | Phantoms | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 12 | -4 | 1 | 0.250 | 8 | 12 | 20 | 0 | 0 | 118 | 110 | 97 | 8 | 65 | 999 | 999 | 1061 | 58 | 97 | 27 | 6 | 52 | 9 | 3 | 33.33% | 3 | 0 | 100.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 29.4% | 12.3% | 87.6% | 99.9 | FUN |
10 | Wolf Pack | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 5 | -3 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 118 | 110 | 97 | 8 | 89 | 999 | 999 | 1061 | 58 | 55 | 19 | 12 | 40 | 11 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 33.3% | 2.2% | 90.9% | 93.2 | Unlucky |
11 | islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 4 | 1.000 | 13 | 25 | 38 | 0 | 0 | 118 | 110 | 97 | 8 | 75 | 999 | 999 | 1061 | 58 | 72 | 20 | 14 | 38 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 70.6% | 17.3% | 91.7% | 109.0 | LUCKY |
12 | IceHogs | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 118 | 110 | 97 | 8 | 28 | 999 | 999 | 1061 | 58 | 43 | 8 | 10 | 27 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 100.0% | 7.1% | 97.7% | 104.8 | DULL |
13 | Griffins | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 28 | -5 | 4 | 0.333 | 23 | 40 | 63 | 0 | 0 | 118 | 110 | 97 | 8 | 196 | 999 | 999 | 1061 | 58 | 204 | 51 | 50 | 179 | 15 | 5 | 33.33% | 22 | 6 | 72.73% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 45.0% | 11.7% | 86.3% | 98.0 | FUN |
14 | Monsters | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 118 | 110 | 97 | 8 | 100 | 999 | 999 | 1061 | 58 | 101 | 28 | 34 | 77 | 4 | 3 | 75.00% | 17 | 3 | 82.35% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 57.1% | 11.0% | 91.1% | 102.1 | Unlucky |
15 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 118 | 110 | 97 | 8 | 46 | 999 | 999 | 1061 | 58 | 21 | 5 | 7 | 25 | 5 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 40.0% | 4.3% | 81.0% | 85.3 | Unlucky |
16 | Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 118 | 110 | 97 | 8 | 43 | 999 | 999 | 1061 | 58 | 37 | 8 | 10 | 22 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 50.0% | 4.7% | 91.9% | 96.5 | DULL |
17 | Iowa Wild | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 118 | 110 | 97 | 8 | 97 | 999 | 999 | 1061 | 58 | 106 | 29 | 30 | 72 | 5 | 1 | 20.00% | 14 | 3 | 78.57% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 46.7% | 8.2% | 89.6% | 97.9 | Unlucky |
18 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 118 | 110 | 97 | 8 | 80 | 999 | 999 | 1061 | 58 | 55 | 12 | 20 | 34 | 6 | 2 | 33.33% | 10 | 2 | 80.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 66.7% | 10.0% | 90.9% | 100.9 | FUN |
19 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 4 | 1.000 | 10 | 15 | 25 | 0 | 1 | 118 | 110 | 97 | 8 | 68 | 999 | 999 | 1061 | 58 | 64 | 19 | 20 | 47 | 5 | 2 | 40.00% | 9 | 1 | 88.89% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 88.9% | 14.7% | 96.9% | 111.6 | LUCKY |
20 | Wranglers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 4 | 1.000 | 13 | 22 | 35 | 0 | 0 | 118 | 110 | 97 | 8 | 68 | 999 | 999 | 1061 | 58 | 58 | 27 | 13 | 44 | 10 | 2 | 20.00% | 3 | 1 | 66.67% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 73.3% | 19.1% | 91.4% | 110.5 | LUCKY |
21 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 118 | 110 | 97 | 8 | 38 | 999 | 999 | 1061 | 58 | 34 | 7 | 8 | 21 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 80.0% | 13.2% | 94.1% | 107.3 | LUCKY |
22 | Texas Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 118 | 110 | 97 | 8 | 30 | 999 | 999 | 1061 | 58 | 33 | 4 | 6 | 25 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 40.0% | 13.3% | 90.9% | 104.2 | FUN |
23 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 118 | 110 | 97 | 8 | 75 | 999 | 999 | 1061 | 58 | 79 | 27 | 16 | 44 | 7 | 1 | 14.29% | 8 | 3 | 62.50% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 45.5% | 8.0% | 88.6% | 96.6 | Unlucky |
24 | Comets | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 118 | 110 | 97 | 8 | 77 | 999 | 999 | 1061 | 58 | 66 | 20 | 18 | 43 | 4 | 1 | 25.00% | 9 | 3 | 66.67% | 1 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 90.9% | 14.3% | 93.9% | 108.2 | LUCKY |
25 | W-B/Scranton Penguins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 118 | 110 | 97 | 8 | 97 | 999 | 999 | 1061 | 58 | 61 | 24 | 19 | 42 | 10 | 3 | 30.00% | 7 | 1 | 85.71% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 77.8% | 10.3% | 95.1% | 105.4 | LUCKY |
26 | Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 118 | 110 | 97 | 8 | 36 | 999 | 999 | 1061 | 58 | 54 | 15 | 12 | 23 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 25.0% | 2.8% | 94.4% | 97.2 | DULL |
27 | Crunch | 6 | 2 | 2 | 0 | 0 | 1 | 1 | 0 | 21 | 22 | -1 | 7 | 0.583 | 21 | 36 | 57 | 0 | 0 | 118 | 110 | 97 | 8 | 230 | 999 | 999 | 1061 | 58 | 199 | 49 | 52 | 130 | 22 | 5 | 22.73% | 23 | 8 | 65.22% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 53.3% | 9.1% | 88.9% | 98.1 | FUN |
28 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 118 | 110 | 97 | 8 | 30 | 999 | 999 | 1061 | 58 | 26 | 8 | 4 | 18 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 50.0% | 6.7% | 96.2% | 102.8 | DULL |
29 | Moose | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 118 | 110 | 97 | 8 | 35 | 999 | 999 | 1061 | 58 | 36 | 10 | 14 | 24 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 60.0% | 8.6% | 94.4% | 103.0 | DULL |
30 | Silver Knights | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 118 | 110 | 97 | 8 | 31 | 999 | 999 | 1061 | 58 | 50 | 12 | 12 | 19 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 57.1% | 12.9% | 90.0% | 102.9 | FUN |
31 | Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 118 | 110 | 97 | 8 | 38 | 999 | 999 | 1061 | 58 | 46 | 11 | 6 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 37.5% | 10.5% | 89.1% | 99.7 | FUN |
_Vs Division | 42 | 26 | 11 | 0 | 1 | 1 | 1 | 2 | 170 | 137 | 33 | 59 | 0.702 | 170 | 302 | 472 | 1 | 0 | 118 | 110 | 97 | 8 | 1617 | 999 | 999 | 1061 | 58 | 1403 | 385 | 357 | 973 | 170 | 47 | 27.65% | 152 | 32 | 78.95% | 3 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 53.9% | 10.5% | 90.2% | 100.7 | FUN | |
_Vs Conference | 60 | 37 | 15 | 0 | 1 | 1 | 2 | 4 | 251 | 193 | 58 | 85 | 0.708 | 251 | 445 | 696 | 1 | 0 | 118 | 110 | 97 | 8 | 2312 | 999 | 999 | 1061 | 58 | 2024 | 577 | 504 | 1389 | 234 | 64 | 27.35% | 218 | 45 | 79.36% | 6 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 55.8% | 10.9% | 90.5% | 101.3 | FUN | |
_Since Last GM Reset | 82 | 48 | 23 | 0 | 2 | 2 | 3 | 4 | 330 | 257 | 73 | 112 | 0.683 | 330 | 575 | 905 | 2 | 1 | 118 | 110 | 97 | 8 | 3089 | 999 | 999 | 1061 | 58 | 2794 | 786 | 694 | 1881 | 307 | 79 | 25.73% | 302 | 62 | 79.47% | 8 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 56.3% | 10.7% | 90.8% | 101.5 | FUN | |
Total | 82 | 48 | 23 | 0 | 2 | 2 | 3 | 4 | 330 | 257 | 73 | 112 | 0.683 | 330 | 575 | 905 | 2 | 1 | 118 | 110 | 97 | 8 | 3089 | 999 | 999 | 1061 | 58 | 2794 | 786 | 694 | 1881 | 307 | 79 | 25.73% | 302 | 62 | 79.47% | 8 | 1722 | 3210 | 53.64% | 1580 | 2960 | 53.38% | 751 | 1388 | 54.11% | 2031 | 1414 | 1870 | 606 | 1063 | 537 | 56.3% | 10.7% | 90.8% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 3210 |
Neutral Zone Start | 1388 |
Defensive Zone Start | 2960 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 4053 |
Faceoffs Lost | 3505 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.2 | 9.57 |
2nd Period | 24.4 | 20.31 |
3rd Period | 37.3 | 30.68 |
Overtime | 38.0 | 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 | 4.0 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 241 |
---|---|
PP Goal | 79 |
PK Goal | 8 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 27 | 26 |
Lost | 11 | 12 |
Overtime Lost | 3 | 3 |
PP Attempt | 307 |
---|---|
PP Goal | 79 |
PK Attempt | 302 |
PK Goal Against | 62 |
Home | |
---|---|
Shots For | 37.7 |
Shots Against | 34.1 |
Goals For | 4.0 |
Goals Against | 3.1 |
Hits | 22.9 |
Shots Blocked | 9.6 |
Pim | 8.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,599,259$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Laval | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 60052 | 38815 | |||
Attendance PCT | 73.23% | 94.67% | 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 | 2411 - 80.38% | 97,542$ | 3,999,230$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,599,259$ | 2,471,786$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
433,225$ | 0$ | 433,225$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 13,975$ | 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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