![]() | Charlotte Checkers 1 24-45-13, 61pts · 16th in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mitchell Stephens | 0 | C | 100.00 | 63 | 40 | 80 | 72 | 78 | 77 | 75 | 67 | 79 | 62 | 62 | 67 | 67 | 71 | 62 | 1 | 50 | 66 | 28 | 2,500,000$/4yrs | |||
Givani Smith | 0 | RW | 100.00 | 76 | 67 | 66 | 70 | 85 | 74 | 72 | 67 | 40 | 61 | 60 | 64 | 66 | 73 | 63 | 1 | 50 | 65 | 27 | 1,300,000$/2yrs | |||
Jesse Ylonen | 0 | RW | 100.00 | 63 | 43 | 79 | 69 | 71 | 73 | 70 | 66 | 44 | 64 | 59 | 63 | 64 | 62 | 52 | 1 | 50 | 63 | 25 | 1,500,000$/4yrs | |||
Mikael Pyyhtia | 0 | LW | 100.00 | 62 | 40 | 82 | 74 | 70 | 74 | 69 | 65 | 44 | 61 | 60 | 64 | 67 | 56 | 50 | 1 | 50 | 63 | 23 | 2,500,000$/4yrs | |||
Jack Williams | 0 | RW | 100.00 | 56 | 40 | 69 | 69 | 71 | 73 | 59 | 62 | 46 | 59 | 59 | 62 | 64 | 51 | 50 | 1 | 50 | 61 | 23 | 1,500,000$/4yrs | |||
Martin Chromiak | 0 | RW | 100.00 | 60 | 41 | 72 | 66 | 63 | 64 | 62 | 64 | 44 | 61 | 59 | 55 | 63 | 50 | 50 | 1 | 50 | 60 | 22 | 2,000,000$/2yrs | |||
Nate Smith | 0 | C | 100.00 | 56 | 43 | 67 | 65 | 61 | 67 | 66 | 61 | 59 | 61 | 55 | 53 | 60 | 54 | 50 | 1 | 50 | 59 | 26 | 1,500,000$/4yrs | |||
Nikita Grebenkin (R) | 0 | RW | 100.00 | 59 | 42 | 62 | 62 | 62 | 61 | 60 | 60 | 42 | 59 | 57 | 55 | 60 | 50 | 50 | 1 | 50 | 58 | 22 | 875,000$/1yrs | |||
Marcel Marcel | 0 | C/LW/RW | 100.00 | 69 | 43 | 65 | 58 | 75 | 59 | 56 | 57 | 41 | 54 | 52 | 59 | 56 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/2yrs | |||
Luke Henman | 0 | C | 100.00 | 55 | 42 | 71 | 67 | 54 | 66 | 64 | 60 | 43 | 54 | 53 | 55 | 60 | 53 | 50 | 1 | 50 | 57 | 25 | 1,500,000$/3yrs | |||
Quinn Olson (R) | 0 | C/LW/RW | 100.00 | 59 | 40 | 62 | 61 | 61 | 60 | 58 | 54 | 40 | 54 | 53 | 56 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
Calen Addison | 0 | D | 100.00 | 58 | 45 | 65 | 70 | 66 | 74 | 72 | 69 | 40 | 69 | 58 | 60 | 66 | 65 | 52 | 1 | 50 | 64 | 25 | 1,375,000$/1yrs | |||
Chase Priskie | 0 | D | 100.00 | 56 | 42 | 70 | 71 | 61 | 70 | 69 | 66 | 40 | 62 | 62 | 67 | 66 | 59 | 50 | 1 | 50 | 63 | 29 | 2,200,000$/4yrs | |||
Maxence Guenette | 0 | D | 100.00 | 65 | 43 | 70 | 66 | 67 | 65 | 64 | 65 | 40 | 61 | 59 | 68 | 63 | 52 | 50 | 1 | 50 | 63 | 24 | 1,800,000$/4yrs | |||
Devante Stephens | 0 | D | 100.00 | 59 | 45 | 64 | 66 | 62 | 69 | 67 | 59 | 40 | 55 | 55 | 65 | 60 | 57 | 50 | 1 | 50 | 61 | 28 | 2,200,000$/3yrs | |||
Charles-Alexis Legault (R) | 0 | D | 100.00 | 64 | 44 | 61 | 62 | 65 | 61 | 60 | 61 | 40 | 57 | 55 | 64 | 59 | 50 | 50 | 1 | 50 | 60 | 21 | 915,833$/2yrs | |||
Tobias Bjornfot | 0 | D | 100.00 | 62 | 41 | 71 | 65 | 65 | 63 | 61 | 59 | 40 | 56 | 53 | 65 | 59 | 52 | 50 | 1 | 50 | 60 | 24 | 1,600,000$/1yrs | |||
Mason Millman | 0 | D | 100.00 | 61 | 41 | 69 | 68 | 61 | 61 | 59 | 57 | 40 | 53 | 53 | 64 | 59 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Tomkins | 0 | 100.00 | 71 | 69 | 70 | 64 | 69 | 69 | 71 | 69 | 69 | 70 | 67 | 65 | 58 | 1 | 50 | 63 | 31 | 975,000$/2yrs |
Cameron Whitehead | 0 | 100.00 | 60 | 57 | 57 | 59 | 58 | 56 | 56 | 54 | 56 | 58 | 54 | 50 | 50 | 1 | 50 | 53 | 22 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Nolan Maier | 0 | 100.00 | 64 | 55 | 55 | 59 | 59 | 57 | 56 | 54 | 56 | 59 | 50 | 52 | 50 | 1 | 50 | 53 | 24 | 1,500,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Brian Wiseman | 71 | 65 | 67 | 72 | 61 | 56 | 1 | CAN | 53 | 4 | 500,000$ |
| General Manager |
|---|
| 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 | Givani Smith | Checkers 1 (FLO) | RW | 82 | 20 | 37 | 57 | -31 | 109 | 45 | 163 | 171 | 49 | 116 | 11.70% | 41 | 24.32 | 4 | 19 | 23 | 0 | 2 | 2 | 134 | 1 | 2 | 44.77% | 0 | 1 | 0.70 | 3 | 12 | 0.31 | |||
| 2 | Mitchell Stephens | Checkers 1 (FLO) | C | 82 | 28 | 29 | 57 | -30 | 43 | 15 | 130 | 197 | 70 | 130 | 14.21% | 40 | 23.33 | 6 | 7 | 13 | 1 | 1 | 2 | 156 | 6 | 1 | 68.12% | 1 | 0 | 0.70 | 4 | 12 | 0.54 | |||
| 3 | Calen Addison | Checkers 1 (FLO) | D | 82 | 8 | 42 | 50 | -44 | 90 | 30 | 98 | 120 | 36 | 59 | 6.67% | 105 | 26.69 | 5 | 8 | 13 | 0 | 1 | 1 | 154 | 0 | 1 | 0.00% | 1 | 0 | 0.61 | 1 | 1 | 0.21 | |||
| 4 | Mikael Pyyhtia | Checkers 1 (FLO) | LW | 82 | 19 | 25 | 44 | -23 | 14 | 10 | 99 | 150 | 53 | 101 | 12.67% | 25 | 18.75 | 9 | 8 | 17 | 0 | 0 | 0 | 6 | 2 | 0 | 39.50% | 0 | 0 | 0.54 | 1 | 2 | 0.44 | |||
| 5 | Jack Williams | Checkers 1 (FLO) | RW | 82 | 20 | 12 | 32 | -23 | 25 | 5 | 145 | 103 | 32 | 64 | 19.42% | 26 | 18.09 | 8 | 5 | 13 | 1 | 0 | 1 | 21 | 1 | 2 | 40.82% | 0 | 0 | 0.39 | 0 | 3 | 0.28 | |||
| 6 | Jesse Ylonen | Checkers 1 (FLO) | RW | 82 | 11 | 18 | 29 | -25 | 11 | 5 | 96 | 94 | 35 | 44 | 11.70% | 17 | 17.23 | 3 | 10 | 13 | 0 | 0 | 0 | 0 | 2 | 2 | 54.76% | 0 | 0 | 0.35 | 1 | 2 | 0.23 | |||
| 7 | Chase Priskie | Checkers 1 (FLO) | D | 82 | 4 | 17 | 21 | -40 | 52 | 20 | 78 | 89 | 29 | 35 | 4.49% | 92 | 23.72 | 2 | 4 | 6 | 0 | 0 | 0 | 172 | 1 | 0 | 0.00% | 0 | 0 | 0.26 | 1 | 2 | 0.03 | |||
| 8 | Marcel Marcel | Checkers 1 (FLO) | C/LW/RW | 82 | 8 | 11 | 19 | -32 | 28 | 0 | 162 | 67 | 26 | 47 | 11.94% | 39 | 19.36 | 1 | 2 | 3 | 0 | 0 | 0 | 96 | 2 | 1 | 38.07% | 0 | 1 | 0.23 | 0 | 9 | 0.07 | |||
| 9 | Nate Smith | Checkers 1 (FLO) | C | 82 | 8 | 9 | 17 | -12 | 21 | 5 | 111 | 68 | 16 | 23 | 11.76% | 17 | 16.15 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 1 | 0 | 52.42% | 0 | 0 | 0.21 | 0 | 0 | 0.14 | |||
| 10 | Martin Chromiak | Checkers 1 (FLO) | RW | 82 | 4 | 10 | 14 | -4 | 6 | 0 | 83 | 65 | 19 | 43 | 6.15% | 14 | 12.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 31.82% | 0 | 0 | 0.17 | 0 | 0 | 0.18 | |||
| 11 | Devante Stephens | Checkers 1 (FLO) | D | 82 | 0 | 13 | 13 | -16 | 34 | 0 | 78 | 39 | 21 | 19 | 0.00% | 59 | 21.38 | 0 | 4 | 4 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.03 | |||
| 12 | Nikita Grebenkin | Checkers 1 (FLO) | RW | 82 | 10 | 3 | 13 | -7 | 33 | 5 | 89 | 46 | 17 | 31 | 21.74% | 10 | 12.71 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 1 | 0 | 40.21% | 0 | 0 | 0.16 | 0 | 0 | 0.07 | |||
| 13 | Maxence Guenette | Checkers 1 (FLO) | D | 82 | 1 | 11 | 12 | -10 | 37 | 5 | 72 | 51 | 14 | 16 | 1.96% | 50 | 19.68 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0 | 1 | 0.00% | 0 | 0 | 0.15 | 0 | 1 | 0.05 | |||
| 14 | Quinn Olson | Checkers 1 (FLO) | C/LW/RW | 82 | 2 | 1 | 3 | -10 | 8 | 0 | 69 | 18 | 3 | 8 | 11.11% | 14 | 9.98 | 1 | 0 | 1 | 0 | 0 | 0 | 61 | 1 | 0 | 40.00% | 0 | 0 | 0.04 | 0 | 0 | -0.00 | |||
| 15 | Luke Henman | Checkers 1 (FLO) | C | 82 | 2 | 1 | 3 | 3 | 2 | 0 | 19 | 21 | 3 | 15 | 9.52% | 4 | 3.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.81% | 0 | 0 | 0.04 | 0 | 0 | 0.06 | |||
| 16 | Charles-Alexis Legault | Checkers 1 (FLO) | D | 82 | 0 | 2 | 2 | -10 | 32 | 0 | 53 | 25 | 11 | 10 | 0.00% | 27 | 15.56 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.05 | |||
| 17 | Mason Millman | Checkers 1 (FLO) | D | 82 | 0 | 2 | 2 | -10 | 4 | 0 | 26 | 4 | 5 | 1 | 0.00% | 11 | 9.76 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.03 | |||
| 18 | Tobias Bjornfot | Checkers 1 (FLO) | D | 82 | 0 | 1 | 1 | 0 | 6 | 0 | 14 | 5 | 2 | 3 | 0.00% | 20 | 5.56 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.01 | 0 | 0 | 0.01 | |||
| Team Total or Average | 1476 | 145 | 244 | 389 | -324 | 555 | 145 | 1585 | 1333 | 441 | 765 | 10.88% | 611 | 16.59 | 39 | 67 | 106 | 1286 | 2 | 4 | 6 | 1190 | 19 | 10 | 44.51% | 3309 | 339 | 414 | 2 | 2 | 0.32 | 11 | 44 |
| 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 | Matt Tomkins | Checkers 1 (FLO) | 48 | 15 | 17 | 8 | 0.902 | 2.19 | 2599 | 4 | 3 | 95 | 969 | 530 | 1 | 2 | 0.611 | 18 | 41 | 41 | 3 | 2 | 1 |
| 2 | Nolan Maier | Checkers 1 (FLO) | 44 | 9 | 28 | 5 | 0.861 | 3.20 | 2382 | 2 | 3 | 127 | 916 | 515 | 2 | 4 | 0.783 | 23 | 41 | 33 | 1 | 2 | 3 |
| Team Total or Average | 92 | 24 | 45 | 13 | 0.882 | 2.67 | 4981 | 6 | 6 | 222 | 1885 | 1045 | 3 | 6 | 0.707 | 41 | 82 | 74 | 4 | 4 | 4 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Calen Addison | D | 25 | 1,375,000$ | 1,375,000$ | |||||||
| Cameron Whitehead | G | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Charles-Alexis Legault | D | 21 | 915,833$ | 975,000$ | 975,000$ | RFA | |||||
| Chase Priskie | D | 29 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
| Devante Stephens | D | 28 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | ||||
| Givani Smith | RW | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
| Jack Williams | RW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Jesse Ylonen | RW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Luke Henman | C | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Marcel Marcel | C/LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Martin Chromiak | RW | 22 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
| Mason Millman | D | 23 | 975,000$ | 975,000$ | |||||||
| Matt Tomkins | G | 31 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Maxence Guenette | D | 24 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||
| Mikael Pyyhtia | LW | 23 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
| Mitchell Stephens | C | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
| Nate Smith | C | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Nikita Grebenkin | RW | 22 | 875,000$ | 975,000$ | RFA | ||||||
| Nolan Maier | G | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
| Quinn Olson | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
| Tobias Bjornfot | D | 24 | 1,600,000$ | 1,600,000$ |
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| Goalies | |||||||
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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 | Gulls | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | -2 | 2 | 0.500 | 1 | 2 | 3 | 0 | 0 | 26 | 50 | 68 | 12 | 20 | 294 | 460 | 558 | 65 | 13 | 6 | 4 | 36 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 0.0% | 5.0% | 76.9% | 81.9 | Unlucky |
| 2 | Moose | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 8 | -1 | 3 | 0.500 | 7 | 11 | 18 | 0 | 1 | 26 | 50 | 68 | 12 | 57 | 294 | 460 | 558 | 65 | 64 | 15 | 16 | 75 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 33.3% | 12.3% | 87.5% | 99.8 | FUN |
| 3 | Bruins | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 4 | 0.500 | 13 | 22 | 35 | 0 | 0 | 26 | 50 | 68 | 12 | 98 | 294 | 460 | 558 | 65 | 155 | 44 | 50 | 84 | 8 | 5 | 62.50% | 18 | 8 | 55.56% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 47.1% | 13.3% | 89.0% | 102.3 | FUN |
| 4 | Americans | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 26 | 50 | 68 | 12 | 20 | 294 | 460 | 558 | 65 | 23 | 6 | 4 | 49 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 33.3% | 15.0% | 78.3% | 93.3 | FUN |
| 5 | Heat | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 3 | 0.750 | 2 | 4 | 6 | 0 | 0 | 26 | 50 | 68 | 12 | 22 | 294 | 460 | 558 | 65 | 21 | 9 | 4 | 55 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 33.3% | 9.1% | 90.5% | 99.6 | FUN |
| 6 | Wolves | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 11 | -3 | 3 | 0.375 | 8 | 13 | 21 | 1 | 0 | 26 | 50 | 68 | 12 | 92 | 294 | 460 | 558 | 65 | 119 | 34 | 34 | 76 | 7 | 1 | 14.29% | 17 | 0 | 100.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 38.9% | 8.7% | 90.8% | 99.5 | Unlucky |
| 7 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 26 | 50 | 68 | 12 | 35 | 294 | 460 | 558 | 65 | 68 | 22 | 14 | 34 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 40.0% | 17.1% | 88.2% | 105.4 | FUN |
| 8 | Eagles | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 6 | 11 | 0 | 0 | 26 | 50 | 68 | 12 | 29 | 294 | 460 | 558 | 65 | 41 | 15 | 6 | 36 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 55.6% | 17.2% | 87.8% | 105.0 | FUN |
| 9 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 26 | 50 | 68 | 12 | 32 | 294 | 460 | 558 | 65 | 43 | 11 | 6 | 40 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 0.0% | 6.3% | 83.7% | 90.0 | Unlucky |
| 10 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 26 | 50 | 68 | 12 | 24 | 294 | 460 | 558 | 65 | 23 | 9 | 7 | 29 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 75.0% | 12.5% | 91.3% | 103.8 | LUCKY |
| 11 | Griffins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 26 | 50 | 68 | 12 | 46 | 294 | 460 | 558 | 65 | 76 | 23 | 13 | 53 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 40.0% | 13.0% | 90.8% | 103.8 | FUN |
| 12 | Condors | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 26 | 50 | 68 | 12 | 60 | 294 | 460 | 558 | 65 | 63 | 24 | 23 | 61 | 13 | 3 | 23.08% | 9 | 2 | 77.78% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 62.5% | 13.3% | 92.1% | 105.4 | LUCKY |
| 13 | Reign | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 26 | 50 | 68 | 12 | 50 | 294 | 460 | 558 | 65 | 69 | 15 | 26 | 73 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 27.3% | 8.0% | 84.1% | 92.1 | Unlucky |
| 14 | Wild | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 26 | 50 | 68 | 12 | 32 | 294 | 460 | 558 | 65 | 30 | 6 | 23 | 32 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 50.0% | 9.4% | 86.7% | 96.0 | FUN |
| 15 | Rocket | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 26 | 50 | 68 | 12 | 40 | 294 | 460 | 558 | 65 | 33 | 6 | 11 | 34 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 75.0% | 10.0% | 90.9% | 100.9 | FUN |
| 16 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 26 | 50 | 68 | 12 | 22 | 294 | 460 | 558 | 65 | 28 | 10 | 6 | 45 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 40.0% | 9.1% | 89.3% | 98.4 | FUN |
| 17 | Comets | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 2 | 5 | 0 | 0 | 26 | 50 | 68 | 12 | 24 | 294 | 460 | 558 | 65 | 11 | 6 | 13 | 40 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 60.0% | 12.5% | 72.7% | 85.2 | FUN |
| 18 | Islanders | 4 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 7 | 10 | -3 | 3 | 0.375 | 7 | 9 | 16 | 0 | 0 | 26 | 50 | 68 | 12 | 61 | 294 | 460 | 558 | 65 | 64 | 23 | 26 | 80 | 5 | 1 | 20.00% | 8 | 5 | 37.50% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 54.5% | 11.5% | 84.4% | 95.9 | FUN |
| 19 | Wolf Pack | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 17 | -12 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 26 | 50 | 68 | 12 | 55 | 294 | 460 | 558 | 65 | 108 | 32 | 34 | 53 | 6 | 1 | 16.67% | 12 | 3 | 75.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 22.2% | 9.1% | 84.3% | 93.4 | FUN |
| 20 | Belleville Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 26 | 50 | 68 | 12 | 38 | 294 | 460 | 558 | 65 | 47 | 23 | 25 | 40 | 3 | 1 | 33.33% | 5 | 3 | 40.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 16.7% | 5.3% | 83.0% | 88.2 | Unlucky |
| 21 | Phantoms | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.500 | 6 | 11 | 17 | 0 | 1 | 26 | 50 | 68 | 12 | 62 | 294 | 460 | 558 | 65 | 60 | 20 | 33 | 77 | 15 | 2 | 13.33% | 9 | 3 | 66.67% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 50.0% | 9.7% | 88.3% | 98.0 | FUN |
| 22 | Roadrunners | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 26 | 50 | 68 | 12 | 32 | 294 | 460 | 558 | 65 | 74 | 21 | 22 | 26 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 1 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 26.7% | 18.8% | 82.4% | 101.2 | FUN |
| 23 | Penguins | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 9 | 3 | 6 | 0.750 | 12 | 20 | 32 | 0 | 0 | 26 | 50 | 68 | 12 | 75 | 294 | 460 | 558 | 65 | 155 | 52 | 22 | 70 | 10 | 2 | 20.00% | 11 | 3 | 72.73% | 1 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 62.5% | 16.0% | 94.2% | 110.2 | LUCKY |
| 24 | Barracuda | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 5 | -3 | 1 | 0.250 | 2 | 3 | 5 | 1 | 0 | 26 | 50 | 68 | 12 | 27 | 294 | 460 | 558 | 65 | 28 | 17 | 19 | 35 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 20.0% | 7.4% | 82.1% | 89.6 | Unlucky |
| 25 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 6 | 10 | 2 | 0 | 26 | 50 | 68 | 12 | 28 | 294 | 460 | 558 | 65 | 64 | 15 | 8 | 35 | 6 | 1 | 16.67% | 4 | 2 | 50.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 30.0% | 14.3% | 85.9% | 100.2 | FUN |
| 26 | Crunch | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.250 | 6 | 10 | 16 | 0 | 0 | 26 | 50 | 68 | 12 | 67 | 294 | 460 | 558 | 65 | 74 | 31 | 22 | 77 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 36.4% | 9.0% | 86.5% | 95.4 | FUN |
| 27 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 9 | 15 | 1 | 0 | 26 | 50 | 68 | 12 | 26 | 294 | 460 | 558 | 65 | 79 | 24 | 16 | 35 | 3 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 37.5% | 23.1% | 84.8% | 107.9 | FUN |
| 28 | Canucks | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 26 | 50 | 68 | 12 | 36 | 294 | 460 | 558 | 65 | 103 | 24 | 28 | 54 | 3 | 1 | 33.33% | 9 | 2 | 77.78% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 35.7% | 16.7% | 89.3% | 106.0 | FUN |
| 29 | Hershey Bears | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 4 | 8 | -4 | 2 | 0.250 | 4 | 5 | 9 | 0 | 0 | 26 | 50 | 68 | 12 | 59 | 294 | 460 | 558 | 65 | 71 | 37 | 16 | 71 | 4 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 40.0% | 6.8% | 88.7% | 95.5 | Unlucky |
| 30 | Silver Knights | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | -2 | 2 | 0.500 | 1 | 2 | 3 | 0 | 0 | 26 | 50 | 68 | 12 | 36 | 294 | 460 | 558 | 65 | 27 | 10 | 10 | 44 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 25.0% | 2.8% | 88.9% | 91.7 | Unlucky |
| 31 | Checkers 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 26 | 50 | 68 | 12 | 28 | 294 | 460 | 558 | 65 | 57 | 21 | 20 | 36 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 10.0% | 10.7% | 84.2% | 94.9 | FUN |
| _Vs Division | 18 | 7 | 16 | 0 | 1 | 1 | 2 | 1 | 40 | 62 | -22 | 22 | 0.611 | 40 | 70 | 110 | 2 | 0 | 26 | 50 | 68 | 12 | 335 | 294 | 460 | 558 | 65 | 487 | 157 | 141 | 372 | 36 | 12 | 33.33% | 46 | 20 | 56.52% | 0 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 40.0% | 11.9% | 87.3% | 99.2 | FUN | |
| _Vs Conference | 47 | 10 | 28 | 0 | 1 | 3 | 3 | 2 | 87 | 138 | -51 | 33 | 0.351 | 87 | 141 | 228 | 3 | 1 | 26 | 50 | 68 | 12 | 785 | 294 | 460 | 558 | 65 | 1145 | 373 | 340 | 880 | 85 | 20 | 23.53% | 123 | 40 | 67.48% | 1 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 40.6% | 11.1% | 87.9% | 99.0 | FUN | |
| _Since Last GM Reset | 82 | 18 | 45 | 0 | 1 | 6 | 5 | 7 | 150 | 235 | -85 | 61 | 0.372 | 150 | 244 | 394 | 6 | 4 | 26 | 50 | 68 | 12 | 1333 | 294 | 460 | 558 | 65 | 1891 | 611 | 561 | 1585 | 165 | 39 | 23.64% | 195 | 56 | 71.28% | 2 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 38.3% | 11.3% | 87.6% | 98.8 | FUN | |
| Total | 82 | 18 | 45 | 0 | 1 | 6 | 5 | 7 | 150 | 235 | -85 | 61 | 0.372 | 150 | 244 | 394 | 6 | 4 | 26 | 50 | 68 | 12 | 1333 | 294 | 460 | 558 | 65 | 1891 | 611 | 561 | 1585 | 165 | 39 | 23.64% | 195 | 56 | 71.28% | 2 | 463 | 1086 | 42.63% | 586 | 1317 | 44.50% | 424 | 857 | 49.47% | 1419 | 537 | 1600 | 887 | 1966 | 989 | 38.3% | 11.3% | 87.6% | 98.8 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 23 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1086 |
| Neutral Zone Start | 857 |
| Defensive Zone Start | 1317 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1473 |
| Faceoffs Lost | 1787 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.6 | 9.57 |
| 2nd Period | 9.2 | 20.31 |
| 3rd Period | 16.0 | 30.68 |
| Overtime | 16.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 0.9 | 1.65 |
| 3rd Period | 1.8 | 2.67 |
| Overtime | 1.9 | 2.83 |
| Even Strenght Goal | 103 |
|---|---|
| PP Goal | 39 |
| PK Goal | 2 |
| Empty Net Goal | 6 |
| Home | Away | |
|---|---|---|
| Win | 12 | 12 |
| Lost | 24 | 21 |
| Overtime Lost | 5 | 8 |
| PP Attempt | 165 |
|---|---|
| PP Goal | 39 |
| PK Attempt | 195 |
| PK Goal Against | 56 |
| Home | |
|---|---|
| Shots For | 16.3 |
| Shots Against | 23.1 |
| Goals For | 1.8 |
| Goals Against | 2.9 |
| Hits | 19.3 |
| Shots Blocked | 7.5 |
| Pim | 6.8 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,180,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Charlotte | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 30$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,180,000$ | 3,180,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,680,330$ | 0$ | 3,180,427$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 21,775$ | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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