Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Brown | 28 | RW | 100.00 | 61 | 40 | 90 | 69 | 69 | 77 | 75 | 57 | 52 | 64 | 57 | 64 | 54 | 69 | 64 | 0 | 50 | 67 | 30 | 3,600,000$/2yrs | |||
Zack Kassian | 44 | RW | 100.00 | 73 | 69 | 82 | 61 | 81 | 59 | 76 | 58 | 53 | 68 | 60 | 67 | 56 | 75 | 60 | 0 | 50 | 67 | 33 | 3,200,000$/2yrs | |||
Jonah Gadjovich | 26 | LW | 100.00 | 82 | 98 | 85 | 59 | 81 | 56 | 68 | 57 | 52 | 69 | 60 | 68 | 54 | 56 | 58 | 0 | 50 | 67 | 25 | 750,000$/1yrs | |||
Matthew Phillips | 0 | C | 100.00 | 54 | 59 | 67 | 64 | 54 | 67 | 64 | 65 | 55 | 61 | 66 | 64 | 59 | 60 | 56 | 0 | 50 | 66 | 25 | 750,000$/2yrs | |||
Anton Blidh | 81 | LW | 100.00 | 66 | 51 | 72 | 60 | 69 | 63 | 62 | 58 | 53 | 62 | 58 | 65 | 54 | 62 | 59 | 0 | 50 | 64 | 29 | 750,000$/3yrs | |||
Greg McKegg (A) | 14 | C/LW | 100.00 | 62 | 50 | 72 | 59 | 67 | 65 | 66 | 57 | 70 | 59 | 58 | 63 | 54 | 68 | 61 | 0 | 50 | 64 | 31 | 762,500$/2yrs | |||
Cole Bardreau | 59 | C | 100.00 | 55 | 60 | 66 | 60 | 62 | 66 | 64 | 58 | 70 | 57 | 59 | 60 | 54 | 69 | 61 | 0 | 50 | 63 | 30 | 750,000$/1yrs | |||
Joona Koppanen | 45 | C/LW | 100.00 | 55 | 57 | 66 | 59 | 67 | 66 | 64 | 59 | 56 | 58 | 58 | 63 | 58 | 60 | 56 | 0 | 50 | 63 | 26 | 750,000$/3yrs | |||
Scott Reedy (A) | 54 | C | 100.00 | 55 | 55 | 67 | 58 | 69 | 64 | 62 | 58 | 55 | 56 | 58 | 59 | 54 | 58 | 55 | 0 | 50 | 62 | 24 | 925,000$/2yrs | |||
Justin Kirkland | 7 | C/LW/RW | 100.00 | 57 | 56 | 68 | 59 | 66 | 63 | 61 | 58 | 63 | 58 | 58 | 60 | 58 | 62 | 58 | 0 | 50 | 62 | 27 | 750,000$/2yrs | |||
Cedric Pare (R) | 17 | C | 100.00 | 55 | 54 | 67 | 57 | 70 | 62 | 61 | 57 | 70 | 56 | 56 | 61 | 54 | 58 | 55 | 0 | 50 | 61 | 25 | 750,000$/1yrs | |||
Casey Fitzgerald (C) | 0 | D | 100.00 | 71 | 51 | 90 | 73 | 75 | 68 | 63 | 56 | 40 | 70 | 55 | 79 | 54 | 56 | 58 | 0 | 50 | 70 | 27 | 750,000$/2yrs | |||
Alec Regula | 0 | D | 100.00 | 57 | 54 | 64 | 59 | 69 | 64 | 62 | 57 | 40 | 57 | 56 | 62 | 54 | 56 | 54 | 0 | 50 | 62 | 23 | 894,167$/2yrs | |||
Derrick Pouliot | 52 | D | 100.00 | 57 | 54 | 65 | 56 | 65 | 63 | 60 | 57 | 40 | 60 | 55 | 61 | 54 | 66 | 60 | 0 | 50 | 62 | 30 | 750,000$/1yrs | |||
Jeremy Davies | 37 | D | 100.00 | 56 | 55 | 62 | 61 | 60 | 66 | 64 | 58 | 40 | 57 | 57 | 62 | 54 | 63 | 58 | 0 | 50 | 62 | 27 | 750,000$/2yrs | |||
Wyatt Kalynuk | 48 | D | 100.00 | 56 | 55 | 63 | 57 | 61 | 65 | 64 | 57 | 40 | 57 | 56 | 62 | 54 | 62 | 57 | 0 | 50 | 62 | 26 | 750,000$/2yrs | |||
Oskari Laaksonen | 3 | D | 100.00 | 55 | 55 | 66 | 57 | 60 | 63 | 62 | 57 | 40 | 57 | 55 | 60 | 54 | 58 | 55 | 0 | 50 | 61 | 24 | 925,000$/1yrs | |||
Max Gildon | 38 | D | 100.00 | 56 | 54 | 66 | 57 | 65 | 61 | 61 | 56 | 40 | 56 | 55 | 60 | 54 | 58 | 55 | 0 | 50 | 60 | 24 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Mitchell Hoelscher (R) | 0 | C | 100.00 | 55 | 55 | 67 | 56 | 59 | 62 | 61 | 56 | 70 | 55 | 56 | 61 | 54 | 56 | 54 | 0 | 50 | 60 | 24 | 750,000$/1yrs | |||
Blade Jenkins | 27 | C/LW | 100.00 | 54 | 54 | 68 | 56 | 65 | 60 | 59 | 55 | 55 | 54 | 55 | 60 | 54 | 56 | 54 | 0 | 50 | 59 | 23 | 803,333$/1yrs | |||
Luke Toporowski | 0 | C/LW | 100.00 | 52 | 54 | 63 | 56 | 56 | 60 | 59 | 56 | 52 | 54 | 57 | 59 | 54 | 52 | 50 | 0 | 50 | 59 | 22 | 870,000$/3yrs | |||
Emil Heineman (R) | 0 | C/LW | 100.00 | 52 | 52 | 65 | 53 | 61 | 53 | 53 | 52 | 52 | 51 | 54 | 58 | 51 | 52 | 50 | 0 | 50 | 57 | 22 | 925,000$/2yrs | |||
Raivis Ansons (R) | 0 | C/LW | 100.00 | 52 | 51 | 63 | 53 | 60 | 59 | 58 | 52 | 52 | 52 | 52 | 55 | 51 | 51 | 49 | 0 | 50 | 56 | 22 | 844,167$/2yrs | |||
Matthew Maggio (R) | 0 | C | 100.00 | 52 | 51 | 65 | 51 | 57 | 51 | 51 | 51 | 52 | 51 | 51 | 58 | 51 | 51 | 49 | 0 | 50 | 55 | 21 | 750,000$/4yrs | |||
Amadeus Lombardi (R) | 0 | C | 100.00 | 51 | 51 | 65 | 51 | 52 | 51 | 51 | 51 | 67 | 51 | 51 | 57 | 51 | 49 | 48 | 0 | 50 | 55 | 20 | 926,667$/4yrs | |||
Ryder Korczak (R) | 0 | C | 100.00 | 51 | 51 | 65 | 52 | 55 | 52 | 52 | 51 | 67 | 51 | 51 | 56 | 51 | 51 | 49 | 0 | 50 | 55 | 21 | 925,000$/2yrs | |||
Jack St.Ivany (R) | 0 | D | 100.00 | 52 | 51 | 63 | 54 | 64 | 63 | 61 | 52 | 38 | 53 | 51 | 54 | 51 | 56 | 52 | 0 | 50 | 57 | 25 | 950,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Collin Delia | 60 | 100.00 | 63 | 62 | 64 | 72 | 68 | 61 | 70 | 62 | 69 | 60 | 72 | 63 | 58 | 0 | 50 | 66 | 29 | 750,000$/2yrs |
Jaxson Stauber | 0 | 100.00 | 58 | 55 | 56 | 69 | 67 | 57 | 67 | 59 | 60 | 54 | 55 | 54 | 51 | 0 | 50 | 61 | 24 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
Joseph Woll | 0 | 69.40 | 64 | 59 | 59 | 72 | 71 | 57 | 71 | 62 | 65 | 57 | 58 | 59 | 55 | 0 | 50 | 65 | 25 | 766,667$/3yrs |
Mikhail Berdin | 40 | 100.00 | 60 | 60 | 60 | 61 | 63 | 63 | 62 | 58 | 55 | 57 | 59 | 57 | 52 | 0 | 50 | 61 | 26 | 750,000$/1yrs |
Jacob Ingham | 31 | 100.00 | 52 | 52 | 52 | 67 | 58 | 51 | 59 | 52 | 58 | 55 | 54 | 53 | 50 | 0 | 50 | 56 | 23 | 850,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Steve Hartley | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 38 | 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 | Zack Kassian | Checkers (FLO) | RW | 71 | 29 | 40 | 69 | 4 | 46 | 0 | 146 | 269 | 53 | 159 | 10.78% | 22 | 21.11 | 6 | 14 | 20 | 0 | 0 | 0 | 213 | 5 | 1 | 49.81% | 2 | 1 | 0.97 | 0 | 4 | 0.97 | |||
2 | Casey Fitzgerald | Checkers (FLO) | D | 69 | 11 | 50 | 61 | -7 | 60 | 0 | 147 | 166 | 56 | 107 | 6.63% | 133 | 23.06 | 7 | 17 | 24 | 0 | 0 | 0 | 197 | 1 | 0 | 0.00% | 1 | 0 | 0.88 | 0 | 0 | 0.74 | |||
3 | Jonah Gadjovich | Checkers (FLO) | LW | 70 | 26 | 28 | 54 | -5 | 110 | 30 | 189 | 228 | 56 | 154 | 11.40% | 20 | 17.66 | 3 | 12 | 15 | 1 | 1 | 2 | 129 | 5 | 2 | 49.19% | 0 | 0 | 0.77 | 2 | 3 | 0.60 | |||
4 | Greg McKegg | Checkers (FLO) | C/LW | 57 | 10 | 32 | 42 | 4 | 8 | 0 | 57 | 121 | 41 | 96 | 8.26% | 8 | 19.18 | 4 | 10 | 14 | 0 | 0 | 0 | 145 | 0 | 0 | 54.16% | 0 | 0 | 0.74 | 0 | 1 | 0.71 | |||
5 | Anton Blidh | Checkers (FLO) | LW | 71 | 14 | 26 | 40 | -17 | 32 | 0 | 127 | 186 | 59 | 127 | 7.53% | 25 | 15.72 | 2 | 5 | 7 | 0 | 0 | 0 | 92 | 2 | 0 | 45.18% | 0 | 0 | 0.56 | 0 | 2 | 0.51 | |||
6 | Wyatt Kalynuk | Checkers (FLO) | D | 66 | 6 | 33 | 39 | 3 | 34 | 0 | 113 | 67 | 30 | 52 | 8.96% | 76 | 18.73 | 3 | 8 | 11 | 0 | 0 | 0 | 130 | 1 | 1 | 0.00% | 0 | 0 | 0.59 | 0 | 0 | 0.50 | |||
7 | Derrick Pouliot | Checkers (FLO) | D | 71 | 7 | 29 | 36 | -17 | 58 | 0 | 136 | 61 | 24 | 58 | 11.48% | 92 | 21.44 | 5 | 11 | 16 | 0 | 0 | 0 | 207 | 0 | 0 | 0.00% | 0 | 0 | 0.51 | 0 | 0 | 0.30 | |||
8 | Cole Bardreau | Checkers (FLO) | C | 70 | 15 | 20 | 35 | -19 | 26 | 0 | 74 | 155 | 33 | 117 | 9.68% | 11 | 17.33 | 7 | 8 | 15 | 0 | 0 | 0 | 111 | 1 | 0 | 55.83% | 0 | 0 | 0.50 | 0 | 1 | 0.41 | |||
9 | Justin Kirkland | Checkers (FLO) | C/LW/RW | 66 | 18 | 17 | 35 | -6 | 25 | 5 | 61 | 165 | 37 | 96 | 10.91% | 3 | 13.32 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 49.68% | 0 | 0 | 0.53 | 0 | 0 | 0.51 | |||
10 | Connor Brown | Checkers (FLO) | RW | 46 | 14 | 17 | 31 | -4 | 14 | 0 | 27 | 143 | 37 | 115 | 9.79% | 11 | 19.78 | 4 | 3 | 7 | 1 | 1 | 2 | 139 | 2 | 0 | 47.83% | 0 | 0 | 0.67 | 0 | 1 | 0.68 | |||
11 | Scott Reedy | Checkers (FLO) | C | 66 | 15 | 16 | 31 | -2 | 18 | 0 | 52 | 104 | 32 | 65 | 14.42% | 6 | 11.01 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 47.18% | 0 | 0 | 0.47 | 0 | 0 | 0.43 | |||
12 | Alec Regula | Checkers (FLO) | D | 64 | 7 | 23 | 30 | 12 | 60 | 0 | 138 | 81 | 26 | 40 | 8.64% | 75 | 20.96 | 4 | 4 | 8 | 0 | 0 | 0 | 162 | 1 | 0 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.42 | |||
13 | Cedric Pare | Checkers (FLO) | C | 71 | 12 | 14 | 26 | -8 | 18 | 0 | 45 | 106 | 36 | 74 | 11.32% | 8 | 10.96 | 5 | 3 | 8 | 0 | 0 | 0 | 51 | 1 | 0 | 55.75% | 0 | 0 | 0.37 | 0 | 0 | 0.33 | |||
14 | Oskari Laaksonen | Checkers (FLO) | D | 70 | 4 | 20 | 24 | -10 | 42 | 0 | 110 | 60 | 19 | 35 | 6.67% | 67 | 18.67 | 2 | 5 | 7 | 0 | 0 | 0 | 147 | 0 | 0 | 0.00% | 0 | 0 | 0.34 | 0 | 0 | 0.23 | |||
15 | Joona Koppanen | Checkers (FLO) | C/LW | 62 | 13 | 9 | 22 | -11 | 41 | 15 | 47 | 107 | 45 | 74 | 12.15% | 6 | 11.14 | 1 | 0 | 1 | 0 | 0 | 0 | 36 | 1 | 0 | 46.19% | 0 | 0 | 0.35 | 0 | 1 | 0.24 | |||
16 | Jeremy Davies | Checkers (FLO) | D | 45 | 5 | 16 | 21 | -12 | 36 | 0 | 71 | 37 | 27 | 25 | 13.51% | 43 | 17.64 | 4 | 2 | 6 | 0 | 1 | 1 | 82 | 0 | 0 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.23 | |||
17 | Max Gildon | Checkers (FLO) | D | 36 | 5 | 11 | 16 | -1 | 22 | 0 | 42 | 24 | 13 | 24 | 20.83% | 31 | 16.08 | 1 | 1 | 2 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.44 | 0 | 0 | 0.32 | |||
18 | Mitchell Hoelscher | Checkers (FLO) | C | 41 | 7 | 7 | 14 | 5 | 2 | 0 | 16 | 36 | 11 | 19 | 19.44% | 2 | 6.52 | 1 | 1 | 2 | 0 | 0 | 0 | 7 | 1 | 1 | 50.53% | 0 | 0 | 0.34 | 0 | 0 | 0.36 | |||
19 | Jack St.Ivany | Checkers (FLO) | D | 6 | 1 | 3 | 4 | 6 | 2 | 0 | 3 | 3 | 1 | 0 | 33.33% | 6 | 17.63 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.84 | |||
20 | Blade Jenkins | Checkers (FLO) | C/LW | 12 | 1 | 3 | 4 | -5 | 2 | 0 | 10 | 6 | 7 | 11 | 16.67% | 0 | 9.92 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 33.33% | 0 | 0 | 0.33 | 0 | 0 | 0.11 | |||
21 | Luke Toporowski | Checkers (FLO) | C/LW | 11 | 2 | 1 | 3 | -1 | 0 | 0 | 7 | 17 | 3 | 10 | 11.76% | 0 | 7.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 0 | 0 | 0.27 | 0 | 0 | 0.30 | |||
22 | Matthew Phillips | Checkers (FLO) | C | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 10 | 2 | 6 | 10.00% | 0 | 18.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67% | 0 | 0 | 0.50 | 1 | 1 | 0.84 | |||
23 | Ryder Korczak | Checkers (FLO) | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 2.87 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
Team Total or Average | 1145 | 223 | 415 | 638 | -91 | 656 | 50 | 1620 | 2152 | 649 | 1464 | 10.36% | 645 | 16.71 | 61 | 107 | 168 | 2241 | 2 | 3 | 5 | 1896 | 24 | 7 | 52.91% | 5292 | 0 | 0 | 3 | 1 | 0.67 | 3 | 14 |
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 | Joseph Woll | Checkers (FLO) | 47 | 23 | 18 | 1 | 0.898 | 3.66 | 2538 | 0 | 1 | 155 | 1518 | 0 | 0 | 0 | 0.000 | 0 | 46 | 4 | 2 | 1 | 0 |
2 | Collin Delia | Checkers (FLO) | 29 | 8 | 12 | 4 | 0.886 | 3.79 | 1411 | 2 | 0 | 89 | 782 | 0 | 0 | 1 | 0.733 | 15 | 22 | 46 | 0 | 1 | 1 |
3 | Jaxson Stauber | Checkers (FLO) | 8 | 1 | 4 | 0 | 0.879 | 3.65 | 329 | 2 | 0 | 20 | 165 | 0 | 0 | 0 | 0.000 | 0 | 3 | 21 | 0 | 0 | 0 |
Team Total or Average | 84 | 32 | 34 | 5 | 0.893 | 3.70 | 4278 | 4 | 1 | 264 | 2465 | 0 | 0 | 1 | 0.733 | 15 | 71 | 71 | 2 | 2 | 1 |
Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula | D | 23 | 894,167$ | 894,167$ | 775,000$ | RFA | |||||
Amadeus Lombardi | C | 20 | 926,667$ | 926,667$ | 926,667$ | 926,667$ | 926,667$ | RFA | |||
Anton Blidh | LW | 29 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Blade Jenkins | C/LW | 23 | 803,333$ | 803,333$ | RFA | ||||||
Casey Fitzgerald | D | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Cedric Pare | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Cole Bardreau | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Collin Delia | G | 29 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Connor Brown | RW | 30 | 3,600,000$ | 3,600,000$ | 4,000,000$ | UFA | |||||
Derrick Pouliot | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Emil Heineman | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Greg McKegg | C/LW | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Jack St.Ivany | D | 25 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Jacob Ingham | G | 23 | 850,000$ | 850,000$ | RFA | ||||||
Jaxson Stauber | G | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jeremy Davies | D | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Jonah Gadjovich | LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Joona Koppanen | C/LW | 26 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Joseph Woll | G | 25 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | UFA | ||||
Justin Kirkland | C/LW/RW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Luke Toporowski | C/LW | 22 | 870,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Matthew Maggio | C | 21 | 750,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | |||
Matthew Phillips | C | 25 | 750,000$ | 750,000$ | 775,000$ | RFA | |||||
Max Gildon | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Mikhail Berdin | G | 26 | 750,000$ | 750,000$ | RFA | ||||||
Mitchell Hoelscher | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Oskari Laaksonen | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Raivis Ansons | C/LW | 22 | 844,167$ | 844,167$ | 844,167$ | RFA | |||||
Ryder Korczak | C | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Scott Reedy | C | 24 | 925,000$ | 925,000$ | 775,000$ | RFA | |||||
Wyatt Kalynuk | D | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Zack Kassian | RW | 33 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 103 | 83 | 67 | 5 | 28 | 866 | 779 | 798 | 40 | 45 | 7 | 7 | 27 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 22.2% | 14.3% | 84.4% | 98.7 | FUN |
2 | Americans | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.333 | 10 | 18 | 28 | 0 | 0 | 103 | 83 | 67 | 5 | 101 | 866 | 779 | 798 | 40 | 100 | 42 | 36 | 89 | 9 | 3 | 33.33% | 16 | 0 | 100.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 46.7% | 9.9% | 92.0% | 101.9 | LUCKY |
3 | Binghamton Senateurs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 103 | 83 | 67 | 5 | 29 | 866 | 779 | 798 | 40 | 30 | 9 | 6 | 21 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 62.5% | 17.2% | 90.0% | 107.2 | FUN |
4 | Bears | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 103 | 83 | 67 | 5 | 78 | 866 | 779 | 798 | 40 | 81 | 25 | 36 | 42 | 4 | 1 | 25.00% | 13 | 1 | 92.31% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 63.6% | 10.3% | 93.8% | 104.1 | LUCKY |
5 | Rockets | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.667 | 13 | 24 | 37 | 0 | 0 | 103 | 83 | 67 | 5 | 114 | 866 | 779 | 798 | 40 | 104 | 31 | 29 | 67 | 13 | 2 | 15.38% | 7 | 1 | 85.71% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 52.4% | 11.4% | 89.4% | 100.8 | FUN |
6 | Providence Bruins | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.500 | 9 | 18 | 27 | 0 | 0 | 103 | 83 | 67 | 5 | 133 | 866 | 779 | 798 | 40 | 125 | 32 | 35 | 80 | 17 | 1 | 5.88% | 14 | 4 | 71.43% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 61.5% | 6.8% | 92.8% | 99.6 | DULL |
7 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 103 | 83 | 67 | 5 | 75 | 866 | 779 | 798 | 40 | 77 | 23 | 12 | 62 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 28.6% | 4.0% | 92.2% | 96.2 | DULL |
8 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 103 | 83 | 67 | 5 | 76 | 866 | 779 | 798 | 40 | 60 | 17 | 24 | 39 | 6 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 75.0% | 7.9% | 91.7% | 99.6 | DULL |
9 | Phantoms | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 12 | -2 | 3 | 0.500 | 10 | 18 | 28 | 0 | 0 | 103 | 83 | 67 | 5 | 102 | 866 | 779 | 798 | 40 | 79 | 24 | 22 | 68 | 17 | 4 | 23.53% | 11 | 1 | 90.91% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 35.3% | 9.8% | 84.8% | 94.6 | FUN |
10 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 103 | 83 | 67 | 5 | 91 | 866 | 779 | 798 | 40 | 73 | 16 | 16 | 37 | 12 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 42.9% | 6.6% | 87.7% | 94.3 | Unlucky |
11 | islanders | 3 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 10 | 14 | -4 | 2 | 0.333 | 10 | 18 | 28 | 1 | 0 | 103 | 83 | 67 | 5 | 98 | 866 | 779 | 798 | 40 | 108 | 28 | 36 | 67 | 12 | 2 | 16.67% | 17 | 5 | 70.59% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 47.1% | 10.2% | 87.0% | 97.2 | FUN |
12 | IceHogs | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 12 | 21 | 0 | 0 | 103 | 83 | 67 | 5 | 73 | 866 | 779 | 798 | 40 | 72 | 26 | 14 | 64 | 7 | 1 | 14.29% | 7 | 2 | 71.43% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 53.3% | 12.3% | 87.5% | 99.8 | FUN |
13 | Griffins | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 13 | 0 | 4 | 0.667 | 13 | 20 | 33 | 0 | 0 | 103 | 83 | 67 | 5 | 119 | 866 | 779 | 798 | 40 | 93 | 22 | 23 | 75 | 16 | 3 | 18.75% | 8 | 2 | 75.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 47.6% | 10.9% | 86.0% | 96.9 | FUN |
14 | Monsters | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 103 | 83 | 67 | 5 | 68 | 866 | 779 | 798 | 40 | 78 | 19 | 30 | 39 | 14 | 4 | 28.57% | 10 | 1 | 90.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 40.0% | 11.8% | 91.0% | 102.8 | FUN |
15 | Barracuda | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 103 | 83 | 67 | 5 | 54 | 866 | 779 | 798 | 40 | 89 | 27 | 24 | 55 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 1 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 50.0% | 13.0% | 93.3% | 106.2 | LUCKY |
16 | Condors | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 103 | 83 | 67 | 5 | 79 | 866 | 779 | 798 | 40 | 64 | 17 | 14 | 60 | 8 | 3 | 37.50% | 7 | 2 | 71.43% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 33.3% | 8.9% | 84.4% | 93.2 | Unlucky |
17 | Iowa Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 103 | 83 | 67 | 5 | 68 | 866 | 779 | 798 | 40 | 60 | 15 | 14 | 42 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 61.5% | 14.7% | 90.0% | 104.7 | FUN |
18 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 103 | 83 | 67 | 5 | 77 | 866 | 779 | 798 | 40 | 70 | 19 | 26 | 48 | 6 | 3 | 50.00% | 13 | 1 | 92.31% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 50.0% | 11.7% | 90.0% | 101.7 | FUN |
19 | Thunderbirds | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 103 | 83 | 67 | 5 | 51 | 866 | 779 | 798 | 40 | 94 | 14 | 19 | 62 | 7 | 4 | 57.14% | 7 | 2 | 71.43% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 40.0% | 15.7% | 91.5% | 107.2 | LUCKY |
20 | Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 103 | 83 | 67 | 5 | 61 | 866 | 779 | 798 | 40 | 68 | 14 | 20 | 65 | 11 | 4 | 36.36% | 9 | 1 | 88.89% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 44.4% | 13.1% | 91.2% | 104.3 | LUCKY |
21 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 103 | 83 | 67 | 5 | 73 | 866 | 779 | 798 | 40 | 75 | 15 | 16 | 60 | 4 | 2 | 50.00% | 7 | 2 | 71.43% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 46.2% | 11.0% | 88.0% | 99.0 | FUN |
22 | Texas Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 103 | 83 | 67 | 5 | 82 | 866 | 779 | 798 | 40 | 62 | 18 | 14 | 41 | 12 | 4 | 33.33% | 7 | 2 | 71.43% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 40.0% | 9.8% | 87.1% | 96.9 | FUN |
23 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 103 | 83 | 67 | 5 | 55 | 866 | 779 | 798 | 40 | 55 | 16 | 18 | 62 | 5 | 1 | 20.00% | 8 | 2 | 75.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 58.3% | 14.5% | 87.3% | 101.8 | FUN |
24 | Comets | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 14 | -4 | 3 | 0.500 | 10 | 17 | 27 | 0 | 0 | 103 | 83 | 67 | 5 | 109 | 866 | 779 | 798 | 40 | 101 | 28 | 14 | 68 | 14 | 5 | 35.71% | 7 | 2 | 71.43% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 29.4% | 9.2% | 86.1% | 95.3 | FUN |
25 | W-B/Scranton Penguins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 103 | 83 | 67 | 5 | 97 | 866 | 779 | 798 | 40 | 118 | 30 | 47 | 78 | 9 | 1 | 11.11% | 15 | 2 | 86.67% | 1 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 58.8% | 11.3% | 92.4% | 103.7 | LUCKY |
26 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 103 | 83 | 67 | 5 | 59 | 866 | 779 | 798 | 40 | 54 | 15 | 20 | 48 | 8 | 3 | 37.50% | 9 | 1 | 88.89% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 33.3% | 11.9% | 83.3% | 95.2 | FUN |
27 | Crunch | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 18 | 22 | -4 | 4 | 0.500 | 18 | 33 | 51 | 0 | 0 | 103 | 83 | 67 | 5 | 156 | 866 | 779 | 798 | 40 | 146 | 42 | 43 | 100 | 17 | 2 | 11.76% | 17 | 6 | 64.71% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 50.0% | 11.5% | 84.9% | 96.5 | FUN |
28 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 103 | 83 | 67 | 5 | 56 | 866 | 779 | 798 | 40 | 76 | 17 | 30 | 52 | 2 | 0 | 0.00% | 15 | 4 | 73.33% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 44.4% | 7.1% | 88.2% | 95.3 | Unlucky |
29 | Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 103 | 83 | 67 | 5 | 58 | 866 | 779 | 798 | 40 | 89 | 26 | 21 | 56 | 7 | 2 | 28.57% | 8 | 2 | 75.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 40.0% | 13.8% | 87.6% | 101.4 | FUN |
30 | Silver Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 103 | 83 | 67 | 5 | 78 | 866 | 779 | 798 | 40 | 51 | 12 | 10 | 57 | 10 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 50.0% | 6.4% | 90.2% | 96.6 | Unlucky |
31 | Firebirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 0.500 | 7 | 13 | 20 | 0 | 1 | 103 | 83 | 67 | 5 | 71 | 866 | 779 | 798 | 40 | 69 | 19 | 27 | 47 | 7 | 2 | 28.57% | 11 | 1 | 90.91% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 71.4% | 9.9% | 95.7% | 105.5 | LUCKY |
_Vs Division | 19 | 8 | 9 | 0 | 1 | 0 | 1 | 0 | 72 | 73 | -1 | 20 | 0.526 | 72 | 131 | 203 | 0 | 0 | 103 | 83 | 67 | 5 | 680 | 866 | 779 | 798 | 40 | 643 | 185 | 179 | 459 | 82 | 13 | 15.85% | 65 | 13 | 80.00% | 0 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 49.6% | 10.6% | 88.6% | 99.2 | FUN | |
_Vs Conference | 39 | 15 | 18 | 0 | 1 | 2 | 1 | 2 | 138 | 149 | -11 | 38 | 0.487 | 138 | 247 | 385 | 1 | 0 | 103 | 83 | 67 | 5 | 1398 | 866 | 779 | 798 | 40 | 1358 | 378 | 392 | 920 | 171 | 31 | 18.13% | 152 | 27 | 82.24% | 1 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 46.7% | 9.9% | 89.0% | 98.9 | FUN | |
_Since Last GM Reset | 71 | 28 | 34 | 0 | 2 | 3 | 2 | 2 | 257 | 267 | -10 | 69 | 0.486 | 257 | 457 | 714 | 1 | 1 | 103 | 83 | 67 | 5 | 2469 | 866 | 779 | 798 | 40 | 2466 | 665 | 703 | 1778 | 286 | 64 | 22.38% | 294 | 54 | 81.63% | 2 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 47.5% | 10.4% | 89.2% | 99.6 | FUN | |
Total | 71 | 28 | 34 | 0 | 2 | 3 | 2 | 2 | 257 | 267 | -10 | 69 | 0.486 | 257 | 457 | 714 | 1 | 1 | 103 | 83 | 67 | 5 | 2469 | 866 | 779 | 798 | 40 | 2466 | 665 | 703 | 1778 | 286 | 64 | 22.38% | 294 | 54 | 81.63% | 2 | 1411 | 2625 | 53.75% | 1349 | 2512 | 53.70% | 633 | 1199 | 52.79% | 1696 | 1137 | 1630 | 556 | 960 | 479 | 47.5% | 10.4% | 89.2% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2625 |
Neutral Zone Start | 1199 |
Defensive Zone Start | 2512 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3393 |
Faceoffs Lost | 2943 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.2 | 9.57 |
2nd Period | 23.2 | 20.31 |
3rd Period | 34.4 | 30.68 |
Overtime | 35.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 190 |
---|---|
PP Goal | 64 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 16 |
Lost | 19 | 15 |
Overtime Lost | 0 | 5 |
PP Attempt | 286 |
---|---|
PP Goal | 64 |
PK Attempt | 294 |
PK Goal Against | 54 |
Home | |
---|---|
Shots For | 34.8 |
Shots Against | 34.7 |
Goals For | 3.6 |
Goals Against | 3.8 |
Hits | 25.0 |
Shots Blocked | 9.4 |
Pim | 9.9 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,078,084$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Charlotte | |
Capacity | 3000 | |
Season Ticket Holders | 15% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 51160 | 33604 | |||
Attendance PCT | 73.09% | 96.01% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 2422 - 80.73% | 97,687$ | 3,419,041$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,078,084$ | 3,050,084$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,648,209$ | 0$ | 2,612,082$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
586,121$ | 22 | 16,286$ | 358,292$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
358,292$ | 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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