Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brett Murray | 0 | LW | 100.00 | 83 | 75 | 79 | 62 | 95 | 81 | 87 | 66 | 61 | 64 | 63 | 66 | 62 | 64 | 66 | 0 | 50 | 72 | 24 | 1,152,250$/2yrs | |||
Brad Malone | 0 | C | 100.00 | 82 | 42 | 86 | 61 | 84 | 83 | 80 | 62 | 75 | 63 | 64 | 65 | 62 | 74 | 78 | 0 | 50 | 71 | 33 | 841,667$/3yrs | |||
Julien Gauthier (A) | 0 | RW | 100.00 | 80 | 38 | 91 | 67 | 92 | 76 | 81 | 66 | 54 | 65 | 63 | 59 | 65 | 64 | 66 | 0 | 50 | 71 | 25 | 1,263,500$/2yrs | |||
Arttu Ruotsalainen | 0 | C | 100.00 | 62 | 36 | 89 | 67 | 70 | 87 | 86 | 64 | 70 | 65 | 68 | 61 | 69 | 65 | 67 | 0 | 50 | 70 | 25 | 925,000$/1yrs | |||
Drew O'Connor (C) | 0 | LW | 100.00 | 70 | 39 | 91 | 65 | 83 | 84 | 80 | 66 | 71 | 67 | 63 | 60 | 69 | 64 | 66 | 0 | 50 | 70 | 24 | 955,000$/2yrs | |||
Mike Hardman | 0 | LW | 100.00 | 86 | 39 | 93 | 64 | 81 | 82 | 87 | 63 | 55 | 62 | 64 | 59 | 62 | 63 | 65 | 0 | 50 | 70 | 24 | 1,200,000$/3yrs | |||
Matthew Highmore | 0 | C | 100.00 | 65 | 36 | 82 | 64 | 70 | 81 | 83 | 63 | 74 | 62 | 61 | 76 | 64 | 66 | 67 | 0 | 50 | 70 | 27 | 777,500$/2yrs | |||
Tyson Foerster (A) | 0 | C | 100.00 | 62 | 38 | 78 | 69 | 79 | 77 | 80 | 66 | 72 | 63 | 67 | 62 | 68 | 59 | 64 | 0 | 50 | 69 | 21 | 863,333$/4yrs | |||
Jesper Froden | 0 | RW | 100.00 | 62 | 37 | 82 | 68 | 66 | 89 | 80 | 67 | 63 | 61 | 66 | 65 | 69 | 68 | 70 | 0 | 50 | 69 | 28 | 875,000$/2yrs | |||
Sheldon Dries | 0 | C | 100.00 | 64 | 37 | 89 | 67 | 65 | 86 | 82 | 65 | 72 | 62 | 66 | 61 | 66 | 68 | 69 | 0 | 50 | 69 | 28 | 775,000$/3yrs | |||
Justin Dowling | 0 | C | 100.00 | 58 | 35 | 81 | 65 | 68 | 76 | 73 | 66 | 74 | 67 | 62 | 59 | 65 | 72 | 74 | 0 | 50 | 68 | 32 | 883,500$/2yrs | |||
Axel Jonsson-Fjallby | 0 | LW | 100.00 | 64 | 37 | 91 | 65 | 75 | 83 | 87 | 61 | 58 | 60 | 62 | 61 | 67 | 65 | 66 | 0 | 50 | 68 | 25 | 869,000$/2yrs | |||
Dylan Samberg | 0 | D | 100.00 | 83 | 71 | 79 | 62 | 81 | 80 | 76 | 59 | 30 | 66 | 56 | 62 | 49 | 63 | 65 | 0 | 50 | 69 | 24 | 1,175,000$/2yrs | |||
Zac Jones | 0 | D | 100.00 | 57 | 36 | 93 | 65 | 70 | 85 | 81 | 64 | 30 | 73 | 58 | 65 | 50 | 62 | 66 | 0 | 50 | 69 | 22 | 925,000$/2yrs | |||
Mark Friedman | 0 | D | 100.00 | 64 | 36 | 70 | 66 | 71 | 82 | 73 | 65 | 30 | 67 | 65 | 66 | 55 | 67 | 68 | 0 | 50 | 69 | 27 | 822,667$/3yrs | |||
Jack Ahcan | 0 | D | 100.00 | 63 | 35 | 92 | 65 | 67 | 85 | 76 | 64 | 30 | 62 | 65 | 59 | 53 | 65 | 67 | 0 | 50 | 68 | 25 | 750,000$/2yrs | |||
Tyler Lewington | 0 | D | 100.00 | 67 | 43 | 65 | 60 | 79 | 78 | 80 | 59 | 30 | 67 | 58 | 65 | 50 | 68 | 70 | 0 | 50 | 68 | 28 | 750,000$/1yrs | |||
Tarmo Reunanen | 0 | D | 100.00 | 64 | 36 | 86 | 65 | 71 | 78 | 73 | 64 | 30 | 66 | 57 | 63 | 51 | 64 | 66 | 0 | 50 | 67 | 25 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Cole Maier | 0 | C | 100.00 | 67 | 33 | 74 | 60 | 76 | 90 | 92 | 59 | 65 | 58 | 60 | 57 | 60 | 67 | 69 | 0 | 50 | 67 | 27 | 1,140,000$/1yrs | |||
Michael Carcone | 0 | LW | 100.00 | 67 | 40 | 71 | 62 | 63 | 89 | 87 | 63 | 60 | 59 | 64 | 57 | 67 | 68 | 67 | 0 | 50 | 67 | 26 | 775,000$/2yrs | |||
Andreas Wingerli | 0 | LW | 100.00 | 58 | 36 | 86 | 67 | 62 | 77 | 85 | 62 | 56 | 59 | 60 | 63 | 61 | 65 | 67 | 0 | 50 | 66 | 25 | 820,000$/1yrs | |||
Danila Klimovich (R) | 0 | RW | 100.00 | 62 | 34 | 83 | 58 | 81 | 79 | 85 | 59 | 52 | 58 | 57 | 56 | 61 | 60 | 62 | 0 | 50 | 65 | 20 | 901,875$/4yrs | |||
Zach Nastasiuk | 0 | RW | 100.00 | 72 | 35 | 92 | 56 | 81 | 77 | 82 | 54 | 52 | 53 | 55 | 57 | 54 | 71 | 66 | 0 | 50 | 64 | 28 | 750,000$/1yrs | |||
Brett McKenzie | 0 | LW | 100.00 | 68 | 39 | 89 | 57 | 78 | 65 | 72 | 56 | 53 | 55 | 54 | 58 | 54 | 65 | 67 | 0 | 50 | 63 | 26 | 900,000$/1yrs | |||
Adam Clendening | 0 | D | 100.00 | 64 | 41 | 72 | 60 | 73 | 76 | 95 | 59 | 30 | 66 | 54 | 57 | 48 | 70 | 72 | 0 | 50 | 67 | 30 | 1,000,000$/1yrs | |||
Trenton Bourque | 0 | D | 100.00 | 71 | 42 | 86 | 56 | 80 | 65 | 70 | 54 | 30 | 55 | 53 | 56 | 45 | 65 | 63 | 0 | 50 | 63 | 24 | 750,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kevin Poulin | 0 | 100.00 | 75 | 74 | 75 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 72 | 86 | 0 | 50 | 77 | 33 | 800,000$/1yrs |
Michael Hutchinson | 0 | 100.00 | 74 | 75 | 76 | 84 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 75 | 86 | 0 | 50 | 77 | 33 | 1,375,000$/2yrs |
Scratches | ||||||||||||||||||||
Linden Marshall | 0 | 100.00 | 75 | 65 | 66 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 0 | 50 | 75 | 24 | 750,000$/1yrs |
Victor Brattstrom | 0 | 100.00 | 67 | 75 | 76 | 86 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 65 | 73 | 0 | 50 | 71 | 26 | 837,500$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Wayne Gretzky | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 61 | 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 | Tyson Foerster | Firebirds (KRA) | C | 79 | 39 | 44 | 83 | 19 | 14 | 0 | 85 | 309 | 80 | 212 | 12.62% | 13 | 19.09 | 4 | 8 | 12 | 1 | 0 | 1 | 146 | 6 | 2 | 49.36% | 0 | 1 | 1.05 | 0 | 1 | 1.14 | |||
2 | Drew O'Connor | Firebirds (KRA) | LW | 81 | 39 | 43 | 82 | 32 | 35 | 5 | 78 | 269 | 66 | 198 | 14.50% | 15 | 18.39 | 9 | 9 | 18 | 0 | 0 | 0 | 56 | 6 | 1 | 49.15% | 0 | 0 | 1.01 | 0 | 1 | 1.10 | |||
3 | Zac Jones | Firebirds (KRA) | D | 79 | 10 | 72 | 82 | 22 | 34 | 0 | 76 | 141 | 59 | 104 | 7.09% | 143 | 22.83 | 5 | 19 | 24 | 0 | 2 | 2 | 219 | 1 | 1 | 0.00% | 1 | 0 | 1.04 | 0 | 0 | 0.98 | |||
4 | Julien Gauthier | Firebirds (KRA) | RW | 79 | 31 | 38 | 69 | 25 | 46 | 0 | 184 | 235 | 56 | 173 | 13.19% | 14 | 18.16 | 7 | 5 | 12 | 0 | 0 | 0 | 40 | 4 | 1 | 44.74% | 0 | 0 | 0.87 | 0 | 0 | 0.95 | |||
5 | Jesper Froden | Firebirds (KRA) | RW | 77 | 27 | 39 | 66 | 17 | 22 | 0 | 80 | 293 | 76 | 217 | 9.22% | 9 | 17.53 | 8 | 12 | 20 | 0 | 0 | 0 | 9 | 6 | 0 | 46.51% | 0 | 0 | 0.86 | 1 | 1 | 0.99 | |||
6 | Matthew Highmore | Firebirds (KRA) | C | 82 | 28 | 32 | 60 | 10 | 18 | 0 | 58 | 264 | 78 | 237 | 10.61% | 22 | 16.06 | 6 | 6 | 12 | 0 | 1 | 1 | 67 | 8 | 0 | 49.85% | 0 | 1 | 0.73 | 0 | 0 | 0.82 | |||
7 | Arttu Ruotsalainen | Firebirds (KRA) | C | 79 | 24 | 32 | 56 | 11 | 6 | 0 | 56 | 262 | 81 | 171 | 9.16% | 18 | 19.45 | 4 | 13 | 17 | 0 | 0 | 0 | 92 | 4 | 1 | 47.26% | 0 | 0 | 0.71 | 0 | 0 | 0.81 | |||
8 | Justin Dowling | Firebirds (KRA) | C | 87 | 21 | 34 | 55 | 2 | 14 | 0 | 42 | 176 | 52 | 151 | 11.93% | 13 | 13.79 | 8 | 17 | 25 | 0 | 0 | 0 | 9 | 2 | 0 | 50.79% | 0 | 1 | 0.63 | 1 | 2 | 0.60 | |||
9 | Tyler Lewington | Firebirds (KRA) | D | 82 | 10 | 41 | 51 | 19 | 70 | 0 | 148 | 104 | 28 | 50 | 9.62% | 110 | 19.80 | 3 | 2 | 5 | 0 | 1 | 1 | 187 | 1 | 2 | 0.00% | 0 | 0 | 0.62 | 0 | 0 | 0.56 | |||
10 | Brett Murray | Firebirds (KRA) | LW | 80 | 19 | 31 | 50 | 6 | 70 | 10 | 219 | 240 | 49 | 200 | 7.92% | 22 | 18.04 | 7 | 10 | 17 | 0 | 0 | 0 | 60 | 2 | 1 | 40.63% | 0 | 0 | 0.63 | 0 | 0 | 0.65 | |||
11 | Dylan Samberg | Firebirds (KRA) | D | 80 | 9 | 37 | 46 | 24 | 99 | 5 | 238 | 78 | 29 | 87 | 11.54% | 117 | 21.46 | 4 | 6 | 10 | 0 | 0 | 0 | 161 | 2 | 0 | 0.00% | 2 | 0 | 0.58 | 0 | 0 | 0.51 | |||
12 | Mike Hardman | Firebirds (KRA) | LW | 82 | 21 | 18 | 39 | 19 | 67 | 5 | 224 | 185 | 53 | 116 | 11.35% | 12 | 16.89 | 1 | 1 | 2 | 1 | 0 | 1 | 52 | 3 | 4 | 36.36% | 0 | 1 | 0.48 | 0 | 1 | 0.54 | |||
13 | Jack Ahcan | Firebirds (KRA) | D | 77 | 5 | 28 | 33 | 2 | 28 | 0 | 90 | 114 | 33 | 66 | 4.39% | 96 | 19.56 | 2 | 11 | 13 | 0 | 1 | 1 | 178 | 0 | 1 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.45 | |||
14 | Sheldon Dries | Firebirds (KRA) | C | 82 | 12 | 18 | 30 | -3 | 12 | 0 | 35 | 149 | 49 | 129 | 8.05% | 13 | 11.32 | 0 | 4 | 4 | 0 | 0 | 0 | 104 | 1 | 1 | 49.59% | 0 | 0 | 0.37 | 0 | 0 | 0.38 | |||
15 | Tarmo Reunanen | Firebirds (KRA) | D | 72 | 2 | 24 | 26 | -10 | 51 | 5 | 90 | 59 | 17 | 34 | 3.39% | 58 | 13.78 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | 0.20 | |||
16 | Brad Malone | Firebirds (KRA) | C | 60 | 11 | 14 | 25 | 2 | 16 | 0 | 54 | 104 | 22 | 65 | 10.58% | 11 | 12.28 | 2 | 2 | 4 | 1 | 0 | 1 | 143 | 3 | 0 | 52.92% | 0 | 0 | 0.42 | 0 | 0 | 0.41 | |||
17 | Mark Friedman | Firebirds (KRA) | D | 21 | 6 | 18 | 24 | 9 | 16 | 0 | 52 | 46 | 15 | 29 | 13.04% | 39 | 22.15 | 3 | 3 | 6 | 0 | 0 | 0 | 45 | 1 | 0 | 0.00% | 0 | 0 | 1.14 | 0 | 0 | 1.13 | |||
18 | Adam Clendening | Firebirds (KRA) | D | 55 | 3 | 13 | 16 | 13 | 38 | 0 | 100 | 18 | 7 | 19 | 16.67% | 64 | 16.14 | 0 | 1 | 1 | 0 | 0 | 0 | 43 | 1 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.28 | |||
19 | Axel Jonsson-Fjallby | Firebirds (KRA) | LW | 68 | 2 | 8 | 10 | 1 | 2 | 0 | 24 | 66 | 20 | 66 | 3.03% | 12 | 10.05 | 0 | 1 | 1 | 0 | 0 | 0 | 150 | 0 | 0 | 35.29% | 0 | 0 | 0.15 | 0 | 0 | 0.21 | |||
20 | Michael Carcone | Firebirds (KRA) | LW | 30 | 1 | 4 | 5 | -3 | 8 | 0 | 37 | 28 | 11 | 20 | 3.57% | 2 | 10.16 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 59.09% | 0 | 0 | 0.17 | 0 | 0 | 0.15 | |||
21 | Andreas Wingerli | Firebirds (KRA) | LW | 14 | 1 | 1 | 2 | -3 | 2 | 0 | 5 | 12 | 7 | 9 | 8.33% | 2 | 6.86 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 41.18% | 0 | 0 | 0.14 | 0 | 0 | 0.08 | |||
22 | Cole Maier | Firebirds (KRA) | C | 22 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 1 | 1 | 1 | 0.00% | 1 | 2.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.82% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
23 | Danila Klimovich | Firebirds (KRA) | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 1470 | 321 | 589 | 910 | 215 | 668 | 30 | 1983 | 3153 | 889 | 2354 | 10.18% | 806 | 16.64 | 73 | 130 | 203 | 2569 | 3 | 5 | 8 | 1807 | 52 | 15 | 48.99% | 8883 | 0 | 0 | 3 | 4 | 0.74 | 2 | 6 |
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 | Michael Hutchinson | Firebirds (KRA) | 22 | 12 | 8 | 0 | 0.906 | 3.20 | 1145 | 0 | 2 | 61 | 650 | 0 | 1 | 1 | 0.000 | 0 | 20 | 46 | 2 | 0 | 2 |
2 | Kevin Poulin | Firebirds (KRA) | 7 | 3 | 3 | 0 | 0.905 | 3.60 | 383 | 0 | 0 | 23 | 241 | 0 | 0 | 0 | 0.000 | 0 | 6 | 12 | 0 | 1 | 0 |
Team Total or Average | 29 | 15 | 11 | 0 | 0.906 | 3.30 | 1529 | 0 | 2 | 84 | 891 | 0 | 1 | 1 | 0.000 | 0 | 26 | 58 | 2 | 1 | 2 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Clendening | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Andreas Wingerli | LW | 25 | 820,000$ | 820,000$ | RFA | ||||||
Arttu Ruotsalainen | C | 25 | 925,000$ | 925,000$ | RFA | ||||||
Axel Jonsson-Fjallby | LW | 25 | 869,000$ | 988,000$ | 750,000$ | UFA | |||||
Brad Malone | C | 33 | 841,667$ | 1,000,000$ | 762,500$ | 762,500$ | UFA | ||||
Brett McKenzie | LW | 26 | 900,000$ | 900,000$ | UFA | ||||||
Brett Murray | LW | 24 | 1,152,250$ | 1,542,000$ | 762,500$ | RFA | |||||
Cole Maier | C | 27 | 1,140,000$ | 1,140,000$ | UFA | ||||||
Danila Klimovich | RW | 20 | 901,875$ | 925,000$ | 894,167$ | 894,167$ | 894,167$ | RFA | |||
Drew O'Connor | LW | 24 | 955,000$ | 1,160,000$ | 750,000$ | RFA | |||||
Dylan Samberg | D | 24 | 1,175,000$ | 1,175,000$ | 1,175,000$ | RFA | |||||
Jack Ahcan | D | 25 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Jesper Froden | RW | 28 | 875,000$ | 1,000,000$ | 750,000$ | UFA | |||||
Julien Gauthier | RW | 25 | 1,263,500$ | 1,727,000$ | 800,000$ | UFA | |||||
Justin Dowling | C | 32 | 883,500$ | 1,017,000$ | 750,000$ | UFA | |||||
Kevin Poulin | G | 33 | 800,000$ | 800,000$ | UFA | ||||||
Linden Marshall | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Mark Friedman | D | 27 | 822,667$ | 918,000$ | 775,000$ | 775,000$ | UFA | ||||
Matthew Highmore | C | 27 | 777,500$ | 805,000$ | 750,000$ | UFA | |||||
Michael Carcone | LW | 26 | 775,000$ | 800,000$ | 750,000$ | UFA | |||||
Michael Hutchinson | G | 33 | 1,375,000$ | 2,000,000$ | 750,000$ | UFA | |||||
Mike Hardman | LW | 24 | 1,200,000$ | 2,000,000$ | 800,000$ | 800,000$ | UFA | ||||
Sheldon Dries | C | 28 | 775,000$ | 800,000$ | 762,500$ | 762,500$ | UFA | ||||
Tarmo Reunanen | D | 25 | 925,000$ | 925,000$ | RFA | ||||||
Trenton Bourque | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Tyler Lewington | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Tyson Foerster | C | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | |||
Victor Brattstrom | G | 26 | 837,500$ | 925,000$ | 750,000$ | UFA | |||||
Zac Jones | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Zach Nastasiuk | RW | 28 | 750,000$ | 750,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 116 | 103 | 88 | 4 | 46 | 1006 | 1039 | 992 | 11 | 40 | 4 | 6 | 21 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 50.0% | 8.7% | 92.5% | 101.2 | DULL |
2 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 116 | 103 | 88 | 4 | 35 | 1006 | 1039 | 992 | 11 | 35 | 16 | 10 | 27 | 5 | 1 | 20.00% | 5 | 3 | 40.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 0.0% | 2.9% | 85.7% | 88.6 | Unlucky |
3 | Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 116 | 103 | 88 | 4 | 45 | 1006 | 1039 | 992 | 11 | 47 | 12 | 4 | 34 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 37.5% | 8.9% | 89.4% | 98.3 | Unlucky |
4 | Binghamton Senateurs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 116 | 103 | 88 | 4 | 46 | 1006 | 1039 | 992 | 11 | 16 | 9 | 8 | 28 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 66.7% | 8.7% | 87.5% | 96.2 | Unlucky |
5 | Bears | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 116 | 103 | 88 | 4 | 41 | 1006 | 1039 | 992 | 11 | 43 | 12 | 6 | 29 | 1 | 1 | 100.00% | 3 | 2 | 33.33% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 60.0% | 17.1% | 86.0% | 103.1 | FUN |
6 | Rockets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 116 | 103 | 88 | 4 | 46 | 1006 | 1039 | 992 | 11 | 38 | 9 | 6 | 17 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 62.5% | 10.9% | 89.5% | 100.3 | FUN |
7 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 116 | 103 | 88 | 4 | 45 | 1006 | 1039 | 992 | 11 | 38 | 9 | 6 | 17 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 40.0% | 6.7% | 89.5% | 96.1 | Unlucky |
8 | Wolves | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 116 | 103 | 88 | 4 | 37 | 1006 | 1039 | 992 | 11 | 32 | 10 | 2 | 29 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 60.0% | 10.8% | 93.8% | 104.6 | LUCKY |
9 | Eagles | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 116 | 103 | 88 | 4 | 80 | 1006 | 1039 | 992 | 11 | 73 | 23 | 27 | 49 | 9 | 3 | 33.33% | 7 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 38.5% | 10.0% | 89.0% | 99.0 | FUN |
10 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 1.000 | 8 | 15 | 23 | 0 | 0 | 116 | 103 | 88 | 4 | 51 | 1006 | 1039 | 992 | 11 | 31 | 9 | 10 | 22 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 66.7% | 15.7% | 87.1% | 102.8 | FUN |
11 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 116 | 103 | 88 | 4 | 36 | 1006 | 1039 | 992 | 11 | 44 | 9 | 12 | 17 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 42.9% | 8.3% | 88.6% | 97.0 | Unlucky |
12 | islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 116 | 103 | 88 | 4 | 30 | 1006 | 1039 | 992 | 11 | 58 | 3 | 10 | 23 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 37.5% | 13.3% | 89.7% | 103.0 | FUN |
13 | IceHogs | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 116 | 103 | 88 | 4 | 74 | 1006 | 1039 | 992 | 11 | 64 | 24 | 18 | 54 | 6 | 2 | 33.33% | 7 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 42.9% | 10.8% | 87.5% | 98.3 | FUN |
14 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 116 | 103 | 88 | 4 | 38 | 1006 | 1039 | 992 | 11 | 36 | 7 | 6 | 22 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 100.0% | 7.9% | 100.0% | 107.9 | DULL |
15 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 116 | 103 | 88 | 4 | 33 | 1006 | 1039 | 992 | 11 | 41 | 10 | 8 | 31 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 60.0% | 12.1% | 95.1% | 107.2 | LUCKY |
16 | Barracuda | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 18 | -4 | 4 | 0.333 | 14 | 26 | 40 | 0 | 0 | 116 | 103 | 88 | 4 | 224 | 1006 | 1039 | 992 | 11 | 168 | 52 | 38 | 136 | 14 | 1 | 7.14% | 15 | 5 | 66.67% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 50.0% | 6.3% | 89.3% | 95.5 | Unlucky |
17 | Condors | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 21 | 12 | 9 | 10 | 0.833 | 21 | 40 | 61 | 0 | 0 | 116 | 103 | 88 | 4 | 192 | 1006 | 1039 | 992 | 11 | 178 | 57 | 54 | 135 | 20 | 2 | 10.00% | 22 | 3 | 86.36% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 67.9% | 10.9% | 93.3% | 104.2 | LUCKY |
18 | Iowa Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 116 | 103 | 88 | 4 | 76 | 1006 | 1039 | 992 | 11 | 56 | 14 | 29 | 54 | 8 | 4 | 50.00% | 4 | 1 | 75.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 71.4% | 11.8% | 94.6% | 106.5 | LUCKY |
19 | Reign | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 8 | 18 | 12 | 1.000 | 26 | 49 | 75 | 0 | 1 | 116 | 103 | 88 | 4 | 225 | 1006 | 1039 | 992 | 11 | 177 | 61 | 50 | 145 | 34 | 5 | 14.71% | 24 | 2 | 91.67% | 2 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 77.8% | 11.6% | 95.5% | 107.0 | LUCKY |
20 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 116 | 103 | 88 | 4 | 73 | 1006 | 1039 | 992 | 11 | 78 | 28 | 22 | 49 | 7 | 2 | 28.57% | 10 | 2 | 80.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 45.5% | 9.6% | 89.7% | 99.3 | FUN |
21 | Wranglers | 7 | 1 | 5 | 0 | 1 | 0 | 0 | 0 | 21 | 32 | -11 | 4 | 0.286 | 21 | 38 | 59 | 0 | 0 | 116 | 103 | 88 | 4 | 256 | 1006 | 1039 | 992 | 11 | 276 | 93 | 54 | 167 | 24 | 4 | 16.67% | 25 | 8 | 68.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 41.5% | 8.2% | 88.4% | 96.6 | Unlucky |
22 | Gulls | 7 | 4 | 2 | 0 | 1 | 0 | 0 | 0 | 29 | 23 | 6 | 10 | 0.714 | 29 | 53 | 82 | 0 | 1 | 116 | 103 | 88 | 4 | 241 | 1006 | 1039 | 992 | 11 | 246 | 69 | 38 | 154 | 28 | 6 | 21.43% | 13 | 2 | 84.62% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 52.3% | 12.0% | 90.7% | 102.7 | FUN |
23 | Texas Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 116 | 103 | 88 | 4 | 53 | 1006 | 1039 | 992 | 11 | 57 | 12 | 18 | 46 | 1 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 66.7% | 11.3% | 91.2% | 102.5 | LUCKY |
24 | Canucks | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 28 | 19 | 9 | 10 | 0.714 | 28 | 53 | 81 | 0 | 0 | 116 | 103 | 88 | 4 | 255 | 1006 | 1039 | 992 | 11 | 263 | 81 | 53 | 172 | 27 | 8 | 29.63% | 21 | 4 | 80.95% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 57.1% | 11.0% | 92.8% | 103.8 | LUCKY |
25 | Comets | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 116 | 103 | 88 | 4 | 39 | 1006 | 1039 | 992 | 11 | 48 | 18 | 4 | 30 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 57.1% | 10.3% | 93.8% | 104.0 | LUCKY |
26 | W-B/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 1 | 0 | 116 | 103 | 88 | 4 | 38 | 1006 | 1039 | 992 | 11 | 45 | 8 | 8 | 26 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 41.7% | 13.2% | 84.4% | 97.6 | FUN |
27 | Roadrunners | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 6 | 1.000 | 15 | 27 | 42 | 0 | 0 | 116 | 103 | 88 | 4 | 114 | 1006 | 1039 | 992 | 11 | 99 | 22 | 26 | 78 | 15 | 2 | 13.33% | 11 | 3 | 72.73% | 1 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 81.3% | 13.2% | 93.9% | 107.1 | LUCKY |
28 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 2 | 1.000 | 6 | 10 | 16 | 0 | 1 | 116 | 103 | 88 | 4 | 33 | 1006 | 1039 | 992 | 11 | 29 | 13 | 6 | 22 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 100.0% | 18.2% | 100.0% | 118.2 | LUCKY |
29 | Admirals | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 6 | 0.750 | 18 | 35 | 53 | 1 | 0 | 116 | 103 | 88 | 4 | 154 | 1006 | 1039 | 992 | 11 | 134 | 35 | 32 | 85 | 14 | 3 | 21.43% | 16 | 2 | 87.50% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 57.7% | 11.7% | 90.3% | 102.0 | FUN |
30 | Moose | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 15 | -3 | 2 | 0.250 | 12 | 20 | 32 | 0 | 0 | 116 | 103 | 88 | 4 | 157 | 1006 | 1039 | 992 | 11 | 155 | 53 | 32 | 95 | 19 | 3 | 15.79% | 16 | 3 | 81.25% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 42.9% | 7.6% | 90.3% | 98.0 | Unlucky |
31 | Silver Knights | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 21 | -1 | 6 | 0.500 | 20 | 36 | 56 | 0 | 0 | 116 | 103 | 88 | 4 | 232 | 1006 | 1039 | 992 | 11 | 212 | 58 | 46 | 136 | 17 | 4 | 23.53% | 22 | 7 | 68.18% | 0 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 53.3% | 8.6% | 90.1% | 98.7 | Unlucky |
_Vs Division | 45 | 25 | 17 | 0 | 3 | 0 | 0 | 0 | 159 | 133 | 26 | 56 | 0.622 | 159 | 295 | 454 | 0 | 2 | 116 | 103 | 88 | 4 | 1625 | 1006 | 1039 | 992 | 11 | 1520 | 471 | 333 | 1045 | 164 | 30 | 18.29% | 142 | 31 | 78.17% | 2 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 55.8% | 9.8% | 91.3% | 101.0 | LUCKY | |
_Vs Conference | 66 | 38 | 23 | 0 | 3 | 2 | 0 | 0 | 242 | 199 | 43 | 84 | 0.636 | 242 | 448 | 690 | 1 | 2 | 116 | 103 | 88 | 4 | 2406 | 1006 | 1039 | 992 | 11 | 2236 | 682 | 537 | 1555 | 243 | 49 | 20.16% | 221 | 44 | 80.09% | 3 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 55.5% | 10.1% | 91.1% | 101.2 | Unlucky | |
_Since Last GM Reset | 82 | 47 | 29 | 0 | 3 | 2 | 1 | 0 | 311 | 257 | 54 | 104 | 0.634 | 311 | 574 | 885 | 2 | 4 | 116 | 103 | 88 | 4 | 3045 | 1006 | 1039 | 992 | 11 | 2857 | 840 | 649 | 1950 | 292 | 62 | 21.23% | 272 | 55 | 79.78% | 3 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 55.2% | 10.2% | 91.0% | 101.2 | FUN | |
Total | 82 | 47 | 29 | 0 | 3 | 2 | 1 | 0 | 311 | 257 | 54 | 104 | 0.634 | 311 | 574 | 885 | 2 | 4 | 116 | 103 | 88 | 4 | 3045 | 1006 | 1039 | 992 | 11 | 2857 | 840 | 649 | 1950 | 292 | 62 | 21.23% | 272 | 55 | 79.78% | 3 | 1595 | 3230 | 49.38% | 1512 | 3000 | 50.40% | 608 | 1354 | 44.90% | 1965 | 1353 | 1911 | 598 | 1056 | 528 | 55.2% | 10.2% | 91.0% | 101.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3230 |
Neutral Zone Start | 1354 |
Defensive Zone Start | 3000 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3715 |
Faceoffs Lost | 3869 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 24.9 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 37.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 244 |
---|---|
PP Goal | 62 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 26 | 25 |
Lost | 13 | 16 |
Overtime Lost | 2 | 0 |
PP Attempt | 292 |
---|---|
PP Goal | 62 |
PK Attempt | 272 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 37.1 |
Shots Against | 34.8 |
Goals For | 3.8 |
Goals Against | 3.1 |
Hits | 23.8 |
Shots Blocked | 10.2 |
Pim | 7.9 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,078,033$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Coachella Valley | |
Capacity | 4000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 2000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 61110 | 78317 | |||
Attendance PCT | 74.52% | 95.51% | 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 | 3401 - 85.02% | 120,421$ | 4,937,273$ | 4000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,078,033$ | 2,752,779$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
524,953$ | 0$ | 524,953$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 16,549$ | 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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