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Full Scoreboard »» |
Coachella Valley Firebirds 48-24-5, 101pts · 13th in WESTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 43 | C/RW | 97.00 | 54 | 36 | 94 | 85 | 65 | 71 | 77 | 77 | 78 | 79 | 70 | 74 | 72 | 91 | 94 | 51 | 83 | 72 | 30 | 800,000$/1yrs | |||
![]() | 19 | C/LW/RW | 100.00 | 66 | 42 | 85 | 78 | 72 | 88 | 86 | 75 | 80 | 64 | 72 | 74 | 74 | 99 | 99 | 32 | 83 | 72 | 32 | 1,250,000$/1yrs | |||
![]() | 77 | LW/RW | 100.00 | 54 | 32 | 96 | 97 | 70 | 83 | 76 | 81 | 25 | 68 | 74 | 65 | 68 | 85 | 88 | 66 | 83 | 72 | 28 | 2,999,999$/1yrs | |||
![]() | 37 | C/RW | 100.00 | 91 | 87 | 55 | 76 | 72 | 74 | 72 | 80 | 70 | 74 | 76 | 71 | 64 | 94 | 91 | 63 | 85 | 72 | 28 | 850,000$/1yrs | |||
![]() | 14 | LW | 100.00 | 45 | 33 | 97 | 99 | 72 | 73 | 88 | 83 | 25 | 70 | 73 | 75 | 45 | 75 | 75 | 68 | 77 | 72 | 26 | 2,500,000$/1yrs | |||
![]() | 20 | LW | 100.00 | 52 | 26 | 97 | 73 | 77 | 79 | 78 | 83 | 25 | 70 | 67 | 73 | 64 | 98 | 96 | 36 | 81 | 71 | 32 | 1,300,000$/2yrs | |||
![]() | 83 | C/LW | 98.00 | 63 | 55 | 90 | 86 | 78 | 51 | 71 | 80 | 67 | 74 | 74 | 75 | 68 | 80 | 80 | 65 | 84 | 71 | 26 | 975,000$/4yrs | |||
![]() | 76 | C | 100.00 | 53 | 47 | 77 | 82 | 67 | 83 | 95 | 77 | 77 | 70 | 70 | 71 | 74 | 58 | 58 | 80 | 78 | 69 | 22 | 925,000$/3yrs | |||
![]() | 57 | LW/RW | 98.00 | 54 | 48 | 67 | 88 | 65 | 67 | 62 | 76 | 58 | 69 | 75 | 69 | 66 | 62 | 62 | 82 | 83 | 68 | 22 | 750,000$/5yrs | |||
![]() | 19 | LW | 100.00 | 52 | 48 | 88 | 80 | 71 | 74 | 83 | 72 | 67 | 65 | 66 | 68 | 69 | 50 | 50 | 90 | 55 | 65 | 19 | 925,000$/3yrs | |||
![]() | 47 | C | 100.00 | 50 | 44 | 91 | 79 | 68 | 78 | 95 | 66 | 69 | 60 | 60 | 65 | 63 | 50 | 50 | 90 | 82 | 63 | 20 | 925,000$/3yrs | |||
![]() | 48 | D | 100.00 | 71 | 42 | 79 | 73 | 75 | 71 | 73 | 71 | 25 | 63 | 54 | 84 | 63 | 98 | 99 | 34 | 83 | 72 | 32 | 1,500,000$/1yrs | |||
![]() | 2 | D | 100.00 | 55 | 42 | 88 | 80 | 62 | 70 | 67 | 81 | 25 | 80 | 76 | 75 | 64 | 98 | 95 | 57 | 74 | 72 | 28 | 800,000$/1yrs | |||
![]() | 3 | D | 100.00 | 53 | 31 | 97 | 87 | 82 | 65 | 68 | 83 | 25 | 78 | 72 | 73 | 54 | 91 | 92 | 67 | 83 | 72 | 26 | 2,999,999$/1yrs | |||
![]() | 74 | D | 100.00 | 88 | 68 | 61 | 67 | 91 | 65 | 69 | 79 | 25 | 64 | 60 | 77 | 57 | 91 | 89 | 54 | 84 | 72 | 29 | 1,500,000$/1yrs | |||
![]() | 13 | D | 100.00 | 69 | 45 | 89 | 80 | 75 | 61 | 81 | 62 | 44 | 59 | 66 | 78 | 25 | 82 | 82 | 40 | 83 | 70 | 32 | 1,200,000$/2yrs | |||
![]() | 24 | D | 100.00 | 56 | 54 | 89 | 73 | 78 | 73 | 95 | 55 | 25 | 56 | 44 | 70 | 46 | 60 | 60 | 80 | 42 | 64 | 23 | 925,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 38 | C/LW | 97.00 | 72 | 61 | 76 | 71 | 72 | 79 | 73 | 81 | 80 | 71 | 70 | 77 | 60 | 99 | 96 | 48 | 77 | 72 | 31 | 800,000$/1yrs | |||
![]() | 78 | LW | 100.00 | 68 | 64 | 66 | 85 | 71 | 81 | 95 | 79 | 65 | 71 | 77 | 78 | 74 | 49 | 49 | 92 | 21 | 71 | 21 | 925,000$/1yrs | |||
![]() | 80 | RW | 100.00 | 51 | 32 | 96 | 79 | 75 | 69 | 75 | 72 | 25 | 60 | 58 | 69 | 63 | 98 | 96 | 49 | 21 | 66 | 30 | 875,000$/2yrs | |||
![]() | 12 | RW | 100.00 | 62 | 52 | 87 | 83 | 79 | 67 | 75 | 71 | 22 | 60 | 57 | 74 | 40 | 80 | 80 | 46 | 21 | 66 | 30 | 1,200,000$/2yrs | |||
![]() | 39 | C | 100.00 | 76 | 67 | 61 | 65 | 75 | 64 | 68 | 74 | 66 | 63 | 58 | 62 | 62 | 99 | 99 | 28 | 20 | 65 | 32 | 900,000$/3yrs | |||
![]() | 11 | C | 100.00 | 57 | 54 | 83 | 79 | 80 | 65 | 70 | 68 | 73 | 63 | 63 | 69 | 63 | 52 | 52 | 88 | 61 | 64 | 20 | 925,000$/2yrs | |||
![]() | 9 | RW | 100.00 | 52 | 47 | 90 | 80 | 74 | 78 | 95 | 63 | 63 | 59 | 57 | 67 | 60 | 51 | 51 | 89 | 50 | 63 | 20 | 925,000$/2yrs | |||
![]() | 36 | C | 100.00 | 58 | 62 | 71 | 73 | 69 | 64 | 71 | 74 | 63 | 54 | 50 | 67 | 59 | 84 | 87 | 63 | 20 | 63 | 28 | 900,000$/3yrs | |||
![]() | 15 | C/LW/RW | 100.00 | 49 | 42 | 86 | 82 | 64 | 62 | 65 | 66 | 67 | 60 | 60 | 66 | 62 | 56 | 56 | 88 | 53 | 62 | 20 | 925,000$/2yrs | |||
![]() | 63 | C/LW/RW | 100.00 | 69 | 79 | 68 | 66 | 70 | 61 | 72 | 62 | 66 | 52 | 52 | 67 | 59 | 99 | 99 | 17 | 18 | 62 | 34 | 900,000$/3yrs | |||
![]() | 13 | D | 100.00 | 56 | 42 | 93 | 73 | 71 | 64 | 75 | 63 | 25 | 54 | 50 | 74 | 57 | 95 | 88 | 52 | 24 | 67 | 29 | 850,000$/2yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 40 | 100.00 | 69 | 72 | 75 | 79 | 74 | 85 | 87 | 85 | 87 | 73 | 69 | 99 | 99 | 29 | 84 | 80 | 31 | 1,250,000$/4yrs |
![]() | 41 | 100.00 | 72 | 68 | 73 | 84 | 76 | 83 | 80 | 84 | 82 | 73 | 73 | 85 | 87 | 50 | 85 | 78 | 29 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 35 | 100.00 | 46 | 55 | 69 | 76 | 55 | 45 | 50 | 53 | 45 | 46 | 30 | 55 | 55 | 52 | 20 | 53 | 28 | 700,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Reid Duke | C/RW | 77 | 34 | 37 | 71 | 28 | 132 | 20 | 330 | 245 | 72 | 194 | 13.88% | 20 | 18.13 | 8 | 8 | 16 | 181 | 0 | 0 | 0 | 0 | 5 | 2 | 60.98% | 123 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | ||
2 | Jacob Moverare | D | 77 | 12 | 59 | 71 | 1 | 2 | 0 | 8 | 143 | 51 | 103 | 8.39% | 102 | 22.54 | 6 | 16 | 22 | 174 | 0 | 1 | 1 | 161 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | ||
3 | Tanner Kaspick | C/LW | 76 | 28 | 38 | 66 | 19 | 18 | 10 | 32 | 238 | 52 | 168 | 11.76% | 14 | 16.93 | 3 | 4 | 7 | 82 | 0 | 0 | 0 | 0 | 6 | 3 | 50.00% | 144 | 0 | 0 | 1 | 1 | 1.03 | 0 | 1 | ||
4 | Nikolay Goldobin | LW/RW | 77 | 31 | 31 | 62 | 2 | 6 | 0 | 38 | 303 | 77 | 172 | 10.23% | 5 | 16.23 | 8 | 9 | 17 | 181 | 0 | 0 | 0 | 9 | 6 | 2 | 37.23% | 94 | 0 | 0 | 0 | 0 | 0.99 | 1 | 4 | ||
5 | Filip Sandberg | C/RW | 77 | 21 | 38 | 59 | -8 | 2 | 0 | 25 | 255 | 65 | 177 | 8.24% | 10 | 17.92 | 5 | 17 | 22 | 181 | 0 | 0 | 0 | 24 | 3 | 2 | 56.96% | 395 | 0 | 0 | 0 | 0 | 0.86 | 2 | 4 | ||
6 | Adam Raska | LW/RW | 77 | 32 | 27 | 59 | 3 | 12 | 0 | 76 | 270 | 87 | 170 | 11.85% | 9 | 18.73 | 6 | 4 | 10 | 178 | 0 | 0 | 0 | 2 | 4 | 1 | 38.40% | 125 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | ||
7 | Joe Hicketts | D | 73 | 12 | 46 | 58 | 10 | 4 | 0 | 25 | 131 | 50 | 98 | 9.16% | 102 | 22.26 | 6 | 12 | 18 | 177 | 0 | 0 | 0 | 138 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
8 | Zachary Bolduc | C | 69 | 24 | 33 | 57 | 15 | 12 | 0 | 48 | 193 | 55 | 115 | 12.44% | 12 | 16.79 | 5 | 7 | 12 | 130 | 0 | 0 | 0 | 12 | 4 | 1 | 51.92% | 1429 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | ||
9 | Max Zimmer | LW | 69 | 20 | 33 | 53 | 13 | 2 | 0 | 6 | 246 | 67 | 208 | 8.13% | 9 | 17.43 | 0 | 7 | 7 | 126 | 0 | 0 | 0 | 46 | 3 | 0 | 28.45% | 116 | 0 | 0 | 1 | 0 | 0.88 | 0 | 0 | ||
10 | Ryan Dzingel | C/LW/RW | 77 | 19 | 33 | 52 | 4 | 14 | 0 | 107 | 220 | 45 | 162 | 8.64% | 18 | 18.42 | 3 | 8 | 11 | 163 | 0 | 0 | 0 | 112 | 3 | 2 | 56.90% | 1573 | 0 | 0 | 1 | 0 | 0.73 | 0 | 4 | ||
11 | Tanner Richard | C/LW | 69 | 18 | 25 | 43 | 1 | 6 | 0 | 114 | 184 | 52 | 102 | 9.78% | 17 | 15.34 | 6 | 11 | 17 | 143 | 0 | 0 | 0 | 186 | 1 | 3 | 55.34% | 1207 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | ||
12 | Bryce McConnell-Barker | C | 72 | 15 | 19 | 34 | 2 | 5 | 5 | 17 | 81 | 19 | 58 | 18.52% | 8 | 14.77 | 3 | 3 | 6 | 113 | 0 | 0 | 0 | 0 | 4 | 0 | 49.60% | 1379 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
13 | Philip Holm | D | 77 | 4 | 24 | 28 | 3 | 58 | 0 | 160 | 75 | 22 | 47 | 5.33% | 106 | 19.59 | 0 | 1 | 1 | 13 | 0 | 1 | 1 | 127 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
14 | Kenny Agostino | LW | 71 | 12 | 14 | 26 | 0 | 2 | 0 | 32 | 126 | 31 | 101 | 9.52% | 14 | 13.26 | 2 | 5 | 7 | 91 | 2 | 0 | 2 | 195 | 4 | 0 | 24.36% | 78 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
15 | Samuel Honzek | LW | 63 | 7 | 19 | 26 | -12 | 10 | 0 | 42 | 98 | 26 | 78 | 7.14% | 6 | 13.52 | 2 | 4 | 6 | 88 | 0 | 0 | 0 | 0 | 2 | 0 | 42.86% | 63 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
16 | Ben Betker | D | 73 | 4 | 21 | 25 | 1 | 86 | 10 | 256 | 49 | 25 | 50 | 8.16% | 102 | 18.60 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 114 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
17 | Mark Pysyk | D | 77 | 4 | 20 | 24 | 8 | 36 | 0 | 105 | 81 | 19 | 37 | 4.94% | 82 | 16.70 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 68 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
18 | Daimon Gardner | C | 52 | 4 | 6 | 10 | 3 | 10 | 0 | 58 | 63 | 15 | 44 | 6.35% | 1 | 12.94 | 0 | 3 | 3 | 27 | 0 | 0 | 0 | 30 | 1 | 1 | 52.38% | 798 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
19 | Barrett Hall | C/LW/RW | 52 | 1 | 5 | 6 | -5 | 0 | 0 | 2 | 48 | 6 | 29 | 2.08% | 2 | 7.36 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 4 | 0 | 0 | 40.74% | 27 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
20 | Cameron ONeill | RW | 48 | 4 | 1 | 5 | -6 | 0 | 0 | 3 | 29 | 8 | 22 | 13.79% | 6 | 8.32 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 59 | 0 | 0 | 38.89% | 18 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
21 | Colby Williams | D | 9 | 0 | 5 | 5 | 4 | 2 | 0 | 8 | 3 | 1 | 2 | 0.00% | 8 | 17.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
22 | Antti Tuomisto | D | 24 | 0 | 5 | 5 | 4 | 4 | 0 | 13 | 8 | 2 | 3 | 0.00% | 25 | 16.89 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
23 | Brennan Othmann | LW | 7 | 1 | 2 | 3 | 3 | 4 | 0 | 21 | 11 | 3 | 11 | 9.09% | 6 | 18.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 20 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
24 | Chris Calnan | RW | 5 | 2 | 0 | 2 | 2 | 8 | 0 | 3 | 3 | 2 | 3 | 66.67% | 0 | 6.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 24.39% | 41 | 0 | 0 | 0 | 0 | 1.22 | 0 | 0 | ||
25 | Riley Barber | RW | 5 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 4 | 2 | 3 | 0.00% | 0 | 8.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22.73% | 22 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
26 | Zac Rinaldo | C/LW/RW | 7 | 0 | 0 | 0 | -2 | 2 | 0 | 9 | 5 | 0 | 2 | 0.00% | 0 | 7.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.62% | 69 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
27 | Sam Carrick | C | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 1 | 0 | 0.00% | 0 | 3.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 58.06% | 31 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1465 | 309 | 542 | 851 | 93 | 437 | 45 | 1541 | 3113 | 855 | 2159 | 9.93% | 684 | 16.56 | 63 | 119 | 182 | 2091 | 2 | 4 | 6 | 1322 | 51 | 20 | 52.08% | 7752 | 0 | 0 | 3 | 1 | 0.70 | 3 | 13 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Landon Bow | 52 | 50 | 32 | 14 | 4 | 0.917 | 2.62 | 4.0 | 3093 | 4 | 1 | 135 | 1635 | 0 | 1 | 1 | 0.583 | 12 | 50 | 27 | 3 | 3 | 3 | |
2 | Garret Sparks | 27 | 27 | 16 | 10 | 1 | 0.887 | 3.29 | -21.3 | 1551 | 0 | 0 | 85 | 750 | 0 | 2 | 2 | 0.000 | 0 | 27 | 50 | 3 | 0 | 0 | |
Team Total or Average | 79 | 48 | 24 | 5 | 0.908 | 2.84 | 4644 | 4 | 1 | 220 | 2385 | 0 | 3 | 3 | 0.583 | 12 | 77 | 77 | 6 | 3 | 3 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Adam Raska | LW/RW | 22 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | |||
Antti Tuomisto | D | 23 | $925,000 | $925,000 | $925,000 | |||||
Barrett Hall | C/LW/RW | 20 | $925,000 | $925,000 | ||||||
Ben Betker | D | 29 | $1,500,000 | |||||||
Brennan Othmann | LW | 21 | $925,000 | |||||||
Bryce McConnell-Barker | C | 20 | $925,000 | $925,000 | $925,000 | |||||
Cameron ONeill | RW | 20 | $925,000 | $925,000 | ||||||
Chris Calnan | RW | 30 | $1,200,000 | $1,200,000 | ||||||
Colby Williams | D | 29 | $850,000 | $850,000 | ||||||
Daimon Gardner | C | 20 | $925,000 | $925,000 | ||||||
Filip Sandberg | C/RW | 30 | $800,000 | |||||||
Garret Sparks | G | 31 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | ||||
Jacob Moverare | D | 26 | $2,999,999 | |||||||
Joe Hicketts | D | 28 | $800,000 | |||||||
Joey Daccord | G | 28 | $700,000 | $700,000 | $700,000 | |||||
Kenny Agostino | LW | 32 | $1,300,000 | $1,300,000 | ||||||
Landon Bow | G | 29 | $750,000 | |||||||
Mark Pysyk | D | 32 | $1,200,000 | $1,200,000 | ||||||
Max Zimmer | LW | 26 | $2,500,000 | |||||||
Nikolay Goldobin | LW/RW | 28 | $2,999,999 | |||||||
Philip Holm | D | 32 | $1,500,000 | |||||||
Reid Duke | C/RW | 28 | $850,000 | |||||||
Riley Barber | RW | 30 | $875,000 | $875,000 | ||||||
Ryan Dzingel | C/LW/RW | 32 | $1,250,000 | |||||||
Sam Carrick | C | 32 | $900,000 | $900,000 | $900,000 | |||||
Samuel Honzek | LW | 19 | $925,000 | $925,000 | $925,000 | |||||
Tanner Kaspick | C/LW | 26 | $975,000 | $975,000 | $975,000 | $975,000 | ||||
Tanner Richard | C/LW | 31 | $800,000 | |||||||
Vincent Dunn | C | 28 | $900,000 | $900,000 | $900,000 | |||||
Zac Rinaldo | C/LW/RW | 34 | $900,000 | $900,000 | $900,000 | |||||
Zachary Bolduc | C | 22 | $925,000 | $925,000 | $925,000 |
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Priority | Type | Description |
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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 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 12 | 3 | 4 | 0.500 | 15 | 24 | 39 | 0 | 0 | 105 | 92 | 74 | 12 | 147 | 885 | 893 | 960 | 49 | 112 | 35 | 20 | 66 | 15 | 5 | 33.33% | 8 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 45.5% | 10.2% | 89.3% | 99.5 | FUN | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 105 | 92 | 74 | 12 | 41 | 885 | 893 | 960 | 49 | 32 | 11 | 4 | 17 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 66.7% | 9.8% | 93.8% | 103.5 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 105 | 92 | 74 | 12 | 28 | 885 | 893 | 960 | 49 | 34 | 10 | 13 | 26 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 75.0% | 17.9% | 94.1% | 112.0 | LUCKY | |
4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 105 | 92 | 74 | 12 | 25 | 885 | 893 | 960 | 49 | 39 | 8 | 10 | 20 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 57.1% | 16.0% | 92.3% | 108.3 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 105 | 92 | 74 | 12 | 41 | 885 | 893 | 960 | 49 | 30 | 13 | 4 | 15 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 33.3% | 4.9% | 90.0% | 94.9 | Unlucky | |
6 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 105 | 92 | 74 | 12 | 61 | 885 | 893 | 960 | 49 | 68 | 16 | 20 | 29 | 4 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 63.6% | 11.5% | 92.6% | 104.1 | LUCKY | |
7 | 6 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 23 | 19 | 4 | 8 | 0.667 | 23 | 40 | 63 | 0 | 0 | 105 | 92 | 74 | 12 | 212 | 885 | 893 | 960 | 49 | 172 | 51 | 20 | 115 | 16 | 4 | 25.00% | 10 | 4 | 60.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 55.9% | 10.8% | 89.0% | 99.8 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 105 | 92 | 74 | 12 | 33 | 885 | 893 | 960 | 49 | 39 | 9 | 4 | 16 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 37.5% | 9.1% | 87.2% | 96.3 | FUN | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 2 | 0 | 105 | 92 | 74 | 12 | 69 | 885 | 893 | 960 | 49 | 50 | 20 | 6 | 41 | 8 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 37.5% | 8.7% | 80.0% | 88.7 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 105 | 92 | 74 | 12 | 44 | 885 | 893 | 960 | 49 | 28 | 13 | 2 | 27 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 14.3% | 2.3% | 78.6% | 80.8 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 105 | 92 | 74 | 12 | 36 | 885 | 893 | 960 | 49 | 37 | 14 | 6 | 24 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 80.0% | 13.9% | 94.6% | 108.5 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 105 | 92 | 74 | 12 | 94 | 885 | 893 | 960 | 49 | 51 | 19 | 29 | 49 | 7 | 1 | 14.29% | 7 | 2 | 71.43% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 46.2% | 7.4% | 82.4% | 89.8 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 105 | 92 | 74 | 12 | 74 | 885 | 893 | 960 | 49 | 60 | 17 | 8 | 38 | 10 | 3 | 30.00% | 4 | 1 | 75.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 42.9% | 12.2% | 85.0% | 97.2 | FUN | |
14 | 6 | 5 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 14 | 11 | 12 | 1.000 | 25 | 46 | 71 | 0 | 0 | 105 | 92 | 74 | 12 | 214 | 885 | 893 | 960 | 49 | 178 | 53 | 36 | 121 | 14 | 8 | 57.14% | 16 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 54.8% | 11.7% | 92.1% | 103.8 | LUCKY | |
15 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 12 | -5 | 1 | 0.167 | 7 | 13 | 20 | 0 | 0 | 105 | 92 | 74 | 12 | 92 | 885 | 893 | 960 | 49 | 102 | 32 | 16 | 62 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 41.2% | 7.6% | 88.2% | 95.8 | Unlucky | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 105 | 92 | 74 | 12 | 30 | 885 | 893 | 960 | 49 | 38 | 12 | 4 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 0.0% | 0.0% | 89.5% | 89.5 | Unlucky | |
17 | 6 | 3 | 1 | 0 | 0 | 0 | 0 | 2 | 20 | 16 | 4 | 8 | 0.667 | 20 | 38 | 58 | 0 | 0 | 105 | 92 | 74 | 12 | 188 | 885 | 893 | 960 | 49 | 208 | 58 | 45 | 112 | 18 | 4 | 22.22% | 12 | 1 | 91.67% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 51.6% | 10.6% | 92.3% | 102.9 | LUCKY | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 105 | 92 | 74 | 12 | 88 | 885 | 893 | 960 | 49 | 49 | 14 | 6 | 40 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 50.0% | 6.8% | 87.8% | 94.6 | Unlucky | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 105 | 92 | 74 | 12 | 63 | 885 | 893 | 960 | 49 | 82 | 17 | 18 | 38 | 5 | 2 | 40.00% | 9 | 1 | 88.89% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 66.7% | 12.7% | 95.1% | 107.8 | LUCKY | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 105 | 92 | 74 | 12 | 37 | 885 | 893 | 960 | 49 | 18 | 1 | 4 | 25 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 80.0% | 10.8% | 94.4% | 105.3 | LUCKY | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 105 | 92 | 74 | 12 | 42 | 885 | 893 | 960 | 49 | 38 | 6 | 4 | 20 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 71.4% | 11.9% | 94.7% | 106.6 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 105 | 92 | 74 | 12 | 39 | 885 | 893 | 960 | 49 | 27 | 15 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 60.0% | 7.7% | 92.6% | 100.3 | DULL | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 105 | 92 | 74 | 12 | 20 | 885 | 893 | 960 | 49 | 33 | 11 | 4 | 19 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 50.0% | 15.0% | 87.9% | 102.9 | FUN | |
24 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 6 | 1.000 | 12 | 22 | 34 | 0 | 0 | 105 | 92 | 74 | 12 | 109 | 885 | 893 | 960 | 49 | 71 | 24 | 14 | 51 | 12 | 2 | 16.67% | 7 | 1 | 85.71% | 1 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 71.4% | 11.0% | 93.0% | 104.0 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 105 | 92 | 74 | 12 | 76 | 885 | 893 | 960 | 49 | 62 | 20 | 13 | 50 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 33.3% | 7.9% | 87.1% | 95.0 | Unlucky | |
26 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 23 | 11 | 12 | 10 | 0.833 | 23 | 38 | 61 | 0 | 0 | 105 | 92 | 74 | 12 | 229 | 885 | 893 | 960 | 49 | 179 | 47 | 24 | 126 | 20 | 7 | 35.00% | 12 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 59.3% | 10.0% | 93.9% | 103.9 | LUCKY | |
27 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 16 | 13 | 3 | 5 | 0.625 | 16 | 27 | 43 | 0 | 0 | 105 | 92 | 74 | 12 | 169 | 885 | 893 | 960 | 49 | 111 | 32 | 22 | 60 | 15 | 4 | 26.67% | 5 | 1 | 80.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 50.0% | 9.5% | 88.3% | 97.8 | FUN | |
28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 105 | 92 | 74 | 12 | 46 | 885 | 893 | 960 | 49 | 30 | 8 | 4 | 16 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 66.7% | 13.0% | 93.3% | 106.4 | LUCKY | |
29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 105 | 92 | 74 | 12 | 21 | 885 | 893 | 960 | 49 | 38 | 13 | 4 | 13 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 40.0% | 9.5% | 92.1% | 101.6 | LUCKY | |
30 | 5 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 17 | 16 | 1 | 6 | 0.600 | 17 | 30 | 47 | 0 | 1 | 105 | 92 | 74 | 12 | 164 | 885 | 893 | 960 | 49 | 186 | 50 | 33 | 104 | 13 | 3 | 23.08% | 14 | 2 | 85.71% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 50.0% | 10.4% | 91.4% | 101.8 | LUCKY | |
31 | 6 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 16 | 11 | 11 | 0.917 | 27 | 50 | 77 | 0 | 0 | 105 | 92 | 74 | 12 | 242 | 885 | 893 | 960 | 49 | 186 | 52 | 45 | 124 | 21 | 7 | 33.33% | 20 | 2 | 90.00% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 58.8% | 11.2% | 91.4% | 102.6 | LUCKY | |
_Vs Division | 39 | 19 | 8 | 0 | 2 | 0 | 1 | 3 | 150 | 104 | 46 | 47 | 0.603 | 150 | 266 | 416 | 0 | 1 | 105 | 92 | 74 | 12 | 1396 | 885 | 893 | 960 | 49 | 1221 | 346 | 223 | 768 | 117 | 38 | 32.48% | 92 | 9 | 90.22% | 0 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 54.1% | 10.7% | 91.5% | 102.2 | LUCKY | |
_Vs Conference | 50 | 26 | 16 | 0 | 3 | 1 | 1 | 3 | 180 | 147 | 33 | 64 | 0.640 | 180 | 316 | 496 | 2 | 1 | 105 | 92 | 74 | 12 | 1815 | 885 | 893 | 960 | 49 | 1528 | 453 | 296 | 971 | 156 | 42 | 26.92% | 112 | 12 | 89.29% | 1 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 50.5% | 9.9% | 90.4% | 100.3 | FUN | |
_Since Last GM Reset | 77 | 38 | 24 | 0 | 9 | 2 | 1 | 3 | 281 | 226 | 55 | 101 | 0.656 | 281 | 497 | 778 | 3 | 1 | 105 | 92 | 74 | 12 | 2774 | 885 | 893 | 960 | 49 | 2388 | 701 | 448 | 1499 | 227 | 59 | 25.99% | 182 | 23 | 87.36% | 2 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 52.2% | 10.1% | 90.5% | 100.7 | FUN | |
Total | 77 | 38 | 24 | 0 | 9 | 2 | 1 | 3 | 281 | 226 | 55 | 101 | 0.656 | 281 | 497 | 778 | 3 | 1 | 105 | 92 | 74 | 12 | 2774 | 885 | 893 | 960 | 49 | 2388 | 701 | 448 | 1499 | 227 | 59 | 25.99% | 182 | 23 | 87.36% | 2 | 1497 | 2889 | 51.82% | 1382 | 2588 | 53.40% | 672 | 1228 | 54.72% | 1878 | 1313 | 1782 | 555 | 1001 | 506 | 52.2% | 10.1% | 90.5% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2889 |
Neutral Zone Start | 1228 |
Defensive Zone Start | 2588 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3551 |
Faceoffs Lost | 3154 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 35.6 | 30.68 |
Overtime | 36.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 217 |
---|---|
PP Goal | 59 |
PK Goal | 2 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 25 | 23 |
Lost | 11 | 13 |
Overtime Lost | 2 | 3 |
PP Attempt | 227 |
---|---|
PP Goal | 59 |
PK Attempt | 182 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 36.0 |
Shots Against | 31.0 |
Goals For | 3.6 |
Goals Against | 2.9 |
Hits | 19.5 |
Shots Blocked | 9.1 |
Pim | 5.8 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$3,595,000 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | KeyArena |
City | Coachella Valley | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 181898 | 90566 | |||
Attendance PCT | 79.78% | 79.44% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
3 | 7170 - 79.67% | $177,923 | $6,761,090 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$3,595,000 | $3,595,000 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$3,218,939 | $0 | $3,218,939 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$533,770 | 12 | $22,191 | $266,292 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$266,292 | $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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