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Full Scoreboard »» |
![]() | Charlotte Checkers 1 19-34-7, 45pts · 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$/2yrs |
Nolan Maier | 0 | 100.00 | 64 | 55 | 55 | 59 | 59 | 57 | 56 | 54 | 56 | 59 | 50 | 52 | 50 | 1 | 50 | 53 | 24 | 1,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
Cameron Whitehead | 0 | 100.00 | 60 | 57 | 57 | 59 | 58 | 56 | 56 | 54 | 56 | 58 | 54 | 50 | 50 | 1 | 50 | 53 | 22 | 975,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Brian Wiseman | 71 | 65 | 67 | 72 | 61 | 56 | 1 | CAN | 53 | 4 | 500,000$ |
| 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 | Mitchell Stephens | Checkers 1 (FLO) | C | 60 | 19 | 26 | 45 | -27 | 38 | 10 | 101 | 133 | 57 | 97 | 14.29% | 28 | 23.48 | 4 | 7 | 11 | 1 | 1 | 2 | 113 | 6 | 1 | 69.39% | 0 | 0 | 0.75 | 3 | 9 | 0.51 | |||
| 2 | Givani Smith | Checkers 1 (FLO) | RW | 60 | 16 | 26 | 42 | -18 | 64 | 30 | 123 | 132 | 31 | 87 | 12.12% | 33 | 24.41 | 4 | 15 | 19 | 0 | 2 | 2 | 98 | 0 | 2 | 44.60% | 0 | 1 | 0.70 | 3 | 9 | 0.39 | |||
| 3 | Calen Addison | Checkers 1 (FLO) | D | 60 | 8 | 31 | 39 | -35 | 70 | 20 | 63 | 93 | 27 | 44 | 8.60% | 73 | 26.54 | 5 | 6 | 11 | 0 | 1 | 1 | 109 | 0 | 1 | 0.00% | 1 | 0 | 0.65 | 0 | 0 | 0.21 | |||
| 4 | Mikael Pyyhtia | Checkers 1 (FLO) | LW | 60 | 14 | 16 | 30 | -21 | 7 | 5 | 64 | 104 | 32 | 76 | 13.46% | 18 | 17.76 | 7 | 6 | 13 | 0 | 0 | 0 | 4 | 1 | 0 | 42.19% | 0 | 0 | 0.50 | 0 | 1 | 0.39 | |||
| 5 | Jack Williams | Checkers 1 (FLO) | RW | 60 | 15 | 11 | 26 | -15 | 21 | 5 | 99 | 78 | 25 | 49 | 19.23% | 21 | 17.86 | 8 | 4 | 12 | 1 | 0 | 1 | 15 | 1 | 1 | 41.67% | 0 | 0 | 0.43 | 0 | 0 | 0.32 | |||
| 6 | Jesse Ylonen | Checkers 1 (FLO) | RW | 60 | 7 | 14 | 21 | -17 | 11 | 5 | 65 | 69 | 29 | 31 | 10.14% | 14 | 16.94 | 1 | 10 | 11 | 0 | 0 | 0 | 0 | 0 | 2 | 62.50% | 0 | 0 | 0.35 | 0 | 1 | 0.23 | |||
| 7 | Marcel Marcel | Checkers 1 (FLO) | C/LW/RW | 60 | 8 | 10 | 18 | -23 | 22 | 0 | 121 | 56 | 21 | 35 | 14.29% | 33 | 20.13 | 1 | 1 | 2 | 0 | 0 | 0 | 71 | 2 | 1 | 39.91% | 0 | 1 | 0.30 | 0 | 9 | 0.13 | |||
| 8 | Chase Priskie | Checkers 1 (FLO) | D | 60 | 3 | 14 | 17 | -28 | 42 | 20 | 55 | 71 | 24 | 27 | 4.23% | 64 | 23.64 | 2 | 2 | 4 | 0 | 0 | 0 | 125 | 1 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 1 | 0.05 | |||
| 9 | Nate Smith | Checkers 1 (FLO) | C | 60 | 5 | 7 | 12 | -12 | 15 | 5 | 77 | 51 | 12 | 17 | 9.80% | 12 | 15.86 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 1 | 0 | 54.84% | 0 | 0 | 0.20 | 0 | 0 | 0.12 | |||
| 10 | Nikita Grebenkin | Checkers 1 (FLO) | RW | 60 | 8 | 2 | 10 | -9 | 29 | 5 | 69 | 40 | 16 | 24 | 20.00% | 8 | 12.92 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 1 | 0 | 41.18% | 0 | 0 | 0.17 | 0 | 0 | 0.05 | |||
| 11 | Martin Chromiak | Checkers 1 (FLO) | RW | 60 | 3 | 7 | 10 | -3 | 0 | 0 | 61 | 51 | 8 | 33 | 5.88% | 9 | 11.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 26.67% | 0 | 0 | 0.17 | 0 | 0 | 0.19 | |||
| 12 | Devante Stephens | Checkers 1 (FLO) | D | 60 | 0 | 8 | 8 | -8 | 30 | 0 | 62 | 29 | 16 | 14 | 0.00% | 42 | 21.10 | 0 | 4 | 4 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.03 | |||
| 13 | Maxence Guenette | Checkers 1 (FLO) | D | 60 | 1 | 6 | 7 | -5 | 25 | 5 | 51 | 33 | 11 | 14 | 3.03% | 39 | 19.43 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0 | 1 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.05 | |||
| 14 | Quinn Olson | Checkers 1 (FLO) | C/LW/RW | 60 | 2 | 1 | 3 | -6 | 6 | 0 | 52 | 17 | 3 | 6 | 11.76% | 9 | 10.17 | 1 | 0 | 1 | 0 | 0 | 0 | 45 | 1 | 0 | 36.62% | 0 | 0 | 0.05 | 0 | 0 | 0.02 | |||
| 15 | Luke Henman | Checkers 1 (FLO) | C | 60 | 2 | 1 | 3 | 3 | 2 | 0 | 18 | 21 | 3 | 15 | 9.52% | 4 | 4.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.51% | 0 | 0 | 0.05 | 0 | 0 | 0.08 | |||
| 16 | Charles-Alexis Legault | Checkers 1 (FLO) | D | 60 | 0 | 2 | 2 | -12 | 22 | 0 | 38 | 14 | 6 | 6 | 0.00% | 23 | 15.50 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.07 | |||
| 17 | Tobias Bjornfot | Checkers 1 (FLO) | D | 60 | 0 | 1 | 1 | 0 | 6 | 0 | 12 | 5 | 2 | 3 | 0.00% | 20 | 7.03 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.01 | |||
| 18 | Mason Millman | Checkers 1 (FLO) | D | 60 | 0 | 1 | 1 | -10 | 0 | 0 | 22 | 4 | 4 | 1 | 0.00% | 7 | 9.15 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.04 | |||
| Team Total or Average | 1080 | 111 | 184 | 295 | -246 | 410 | 110 | 1153 | 1001 | 327 | 579 | 11.09% | 457 | 16.59 | 33 | 55 | 88 | 1028 | 2 | 4 | 6 | 871 | 15 | 9 | 44.92% | 2440 | 244 | 309 | 1 | 2 | 0.33 | 6 | 30 |
| 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) | 33 | 13 | 11 | 2 | 0.908 | 2.27 | 1717 | 4 | 3 | 65 | 710 | 397 | 1 | 0 | 0.800 | 5 | 27 | 33 | 3 | 2 | 1 |
| 2 | Nolan Maier | Checkers 1 (FLO) | 36 | 6 | 23 | 5 | 0.855 | 3.17 | 1928 | 2 | 2 | 102 | 703 | 390 | 2 | 4 | 0.783 | 23 | 33 | 27 | 1 | 2 | 1 |
| Team Total or Average | 69 | 19 | 34 | 7 | 0.882 | 2.75 | 3646 | 6 | 5 | 167 | 1413 | 787 | 3 | 4 | 0.786 | 28 | 60 | 60 | 4 | 4 | 2 |
| 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$ | ||||
| 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 | Moose | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 8 | -1 | 3 | 0.500 | 7 | 11 | 18 | 0 | 1 | 22 | 39 | 49 | 7 | 57 | 228 | 348 | 410 | 45 | 64 | 15 | 16 | 75 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 33.3% | 12.3% | 87.5% | 99.8 | FUN |
| 2 | Bruins | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 4 | 0.500 | 13 | 22 | 35 | 0 | 0 | 22 | 39 | 49 | 7 | 98 | 228 | 348 | 410 | 45 | 155 | 44 | 50 | 84 | 8 | 5 | 62.50% | 18 | 8 | 55.56% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 47.1% | 13.3% | 89.0% | 102.3 | FUN |
| 3 | Americans | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 22 | 39 | 49 | 7 | 20 | 228 | 348 | 410 | 45 | 23 | 6 | 4 | 49 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 33.3% | 15.0% | 78.3% | 93.3 | FUN |
| 4 | Heat | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | -1 | 1 | 0.500 | 0 | 0 | 0 | 0 | 0 | 22 | 39 | 49 | 7 | 7 | 228 | 348 | 410 | 45 | 5 | 1 | 2 | 27 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 0.0% | 0.0% | 80.0% | 80.0 | Unlucky |
| 5 | Wolves | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 22 | 39 | 49 | 7 | 49 | 228 | 348 | 410 | 45 | 66 | 13 | 20 | 35 | 6 | 1 | 16.67% | 10 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 44.4% | 10.2% | 92.4% | 102.6 | LUCKY |
| 6 | IceHogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 22 | 39 | 49 | 7 | 22 | 228 | 348 | 410 | 45 | 35 | 11 | 8 | 15 | 4 | 2 | 50.00% | 4 | 2 | 50.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 66.7% | 27.3% | 88.6% | 115.8 | FUN |
| 7 | Eagles | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 22 | 39 | 49 | 7 | 11 | 228 | 348 | 410 | 45 | 18 | 6 | 2 | 19 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 60.0% | 27.3% | 88.9% | 116.2 | FUN |
| 8 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 22 | 39 | 49 | 7 | 32 | 228 | 348 | 410 | 45 | 43 | 11 | 6 | 40 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 0.0% | 6.3% | 83.7% | 90.0 | Unlucky |
| 9 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 22 | 39 | 49 | 7 | 12 | 228 | 348 | 410 | 45 | 14 | 5 | 2 | 13 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 0.0% | 0.0% | 85.7% | 85.7 | Unlucky |
| 10 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 22 | 39 | 49 | 7 | 25 | 228 | 348 | 410 | 45 | 35 | 8 | 7 | 21 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 0.0% | 8.0% | 88.6% | 96.6 | Unlucky |
| 11 | Condors | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 22 | 39 | 49 | 7 | 60 | 228 | 348 | 410 | 45 | 63 | 24 | 23 | 61 | 13 | 3 | 23.08% | 9 | 2 | 77.78% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 62.5% | 13.3% | 92.1% | 105.4 | LUCKY |
| 12 | Reign | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 22 | 39 | 49 | 7 | 36 | 228 | 348 | 410 | 45 | 49 | 13 | 20 | 42 | 3 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 37.5% | 8.3% | 83.7% | 92.0 | Unlucky |
| 13 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 22 | 39 | 49 | 7 | 21 | 228 | 348 | 410 | 45 | 15 | 5 | 4 | 19 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
| 14 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 22 | 39 | 49 | 7 | 15 | 228 | 348 | 410 | 45 | 13 | 4 | 0 | 22 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 66.7% | 13.3% | 92.3% | 105.6 | LUCKY |
| 15 | Comets | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 2 | 5 | 0 | 0 | 22 | 39 | 49 | 7 | 24 | 228 | 348 | 410 | 45 | 11 | 6 | 13 | 40 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 60.0% | 12.5% | 72.7% | 85.2 | FUN |
| 16 | Islanders | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 5 | 6 | -1 | 3 | 0.500 | 5 | 6 | 11 | 0 | 0 | 22 | 39 | 49 | 7 | 51 | 228 | 348 | 410 | 45 | 45 | 16 | 22 | 58 | 3 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 62.5% | 9.8% | 86.7% | 96.5 | FUN |
| 17 | Wolf Pack | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 17 | -12 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 22 | 39 | 49 | 7 | 55 | 228 | 348 | 410 | 45 | 108 | 32 | 34 | 53 | 6 | 1 | 16.67% | 12 | 3 | 75.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 22.2% | 9.1% | 84.3% | 93.4 | FUN |
| 18 | Belleville Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 22 | 39 | 49 | 7 | 38 | 228 | 348 | 410 | 45 | 47 | 23 | 25 | 40 | 3 | 1 | 33.33% | 5 | 3 | 40.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 16.7% | 5.3% | 83.0% | 88.2 | Unlucky |
| 19 | Phantoms | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.500 | 6 | 11 | 17 | 0 | 1 | 22 | 39 | 49 | 7 | 62 | 228 | 348 | 410 | 45 | 60 | 20 | 33 | 77 | 15 | 2 | 13.33% | 9 | 3 | 66.67% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 50.0% | 9.7% | 88.3% | 98.0 | FUN |
| 20 | Roadrunners | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 22 | 39 | 49 | 7 | 32 | 228 | 348 | 410 | 45 | 74 | 21 | 22 | 26 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 1 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 26.7% | 18.8% | 82.4% | 101.2 | FUN |
| 21 | Penguins | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 16 | 26 | 0 | 0 | 22 | 39 | 49 | 7 | 56 | 228 | 348 | 410 | 45 | 113 | 42 | 16 | 50 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 1 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 61.5% | 17.9% | 94.7% | 112.5 | LUCKY |
| 22 | Barracuda | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | -1 | 1 | 0.500 | 0 | 0 | 0 | 0 | 0 | 22 | 39 | 49 | 7 | 13 | 228 | 348 | 410 | 45 | 9 | 7 | 4 | 19 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 0.0% | 0.0% | 88.9% | 88.9 | Unlucky |
| 23 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 6 | 10 | 2 | 0 | 22 | 39 | 49 | 7 | 28 | 228 | 348 | 410 | 45 | 64 | 15 | 8 | 35 | 6 | 1 | 16.67% | 4 | 2 | 50.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 30.0% | 14.3% | 85.9% | 100.2 | FUN |
| 24 | Crunch | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.250 | 6 | 10 | 16 | 0 | 0 | 22 | 39 | 49 | 7 | 67 | 228 | 348 | 410 | 45 | 74 | 31 | 22 | 77 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 36.4% | 9.0% | 86.5% | 95.4 | FUN |
| 25 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 22 | 39 | 49 | 7 | 8 | 228 | 348 | 410 | 45 | 34 | 9 | 9 | 18 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 40.0% | 25.0% | 88.2% | 113.2 | FUN |
| 26 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 22 | 39 | 49 | 7 | 26 | 228 | 348 | 410 | 45 | 61 | 17 | 12 | 42 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 44.4% | 19.2% | 90.2% | 109.4 | FUN |
| 27 | Hershey Bears | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.333 | 4 | 5 | 9 | 0 | 0 | 22 | 39 | 49 | 7 | 48 | 228 | 348 | 410 | 45 | 62 | 31 | 12 | 60 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 50.0% | 8.3% | 90.3% | 98.7 | Unlucky |
| 28 | Checkers 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 22 | 39 | 49 | 7 | 28 | 228 | 348 | 410 | 45 | 57 | 21 | 20 | 36 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 10.0% | 10.7% | 84.2% | 94.9 | FUN |
| _Vs Division | 14 | 7 | 11 | 0 | 1 | 1 | 2 | 1 | 28 | 48 | -20 | 22 | 0.786 | 28 | 48 | 76 | 2 | 0 | 22 | 39 | 49 | 7 | 256 | 228 | 348 | 410 | 45 | 368 | 121 | 117 | 289 | 31 | 11 | 35.48% | 39 | 16 | 58.97% | 0 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 34.7% | 10.9% | 87.0% | 97.9 | FUN | |
| _Vs Conference | 38 | 9 | 21 | 0 | 1 | 2 | 3 | 2 | 71 | 107 | -36 | 30 | 0.395 | 71 | 114 | 185 | 2 | 1 | 22 | 39 | 49 | 7 | 634 | 228 | 348 | 410 | 45 | 902 | 301 | 278 | 723 | 77 | 18 | 23.38% | 102 | 32 | 68.63% | 1 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 41.4% | 11.2% | 88.1% | 99.3 | FUN | |
| _Since Last GM Reset | 60 | 14 | 34 | 0 | 1 | 2 | 4 | 5 | 115 | 176 | -61 | 45 | 0.375 | 115 | 184 | 299 | 4 | 3 | 22 | 39 | 49 | 7 | 1001 | 228 | 348 | 410 | 45 | 1417 | 457 | 416 | 1153 | 132 | 33 | 25.00% | 145 | 44 | 69.66% | 2 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 38.3% | 11.5% | 87.6% | 99.1 | FUN | |
| Total | 60 | 14 | 34 | 0 | 1 | 2 | 4 | 5 | 115 | 176 | -61 | 45 | 0.375 | 115 | 184 | 299 | 4 | 3 | 22 | 39 | 49 | 7 | 1001 | 228 | 348 | 410 | 45 | 1417 | 457 | 416 | 1153 | 132 | 33 | 25.00% | 145 | 44 | 69.66% | 2 | 347 | 805 | 43.11% | 439 | 966 | 45.45% | 310 | 634 | 48.90% | 1043 | 399 | 1178 | 646 | 1426 | 720 | 38.3% | 11.5% | 87.6% | 99.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 23 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 805 |
| Neutral Zone Start | 634 |
| Defensive Zone Start | 966 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1096 |
| Faceoffs Lost | 1309 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.8 | 9.57 |
| 2nd Period | 9.6 | 20.31 |
| 3rd Period | 16.4 | 30.68 |
| Overtime | 17.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.4 | 0.64 |
| 2nd Period | 1.0 | 1.65 |
| 3rd Period | 1.8 | 2.67 |
| Overtime | 2.0 | 2.83 |
| Even Strenght Goal | 76 |
|---|---|
| PP Goal | 33 |
| PK Goal | 2 |
| Empty Net Goal | 4 |
| Home | Away | |
|---|---|---|
| Win | 8 | 11 |
| Lost | 19 | 15 |
| Overtime Lost | 2 | 5 |
| PP Attempt | 132 |
|---|---|
| PP Goal | 33 |
| PK Attempt | 145 |
| PK Goal Against | 44 |
| Home | |
|---|---|
| Shots For | 16.7 |
| Shots Against | 23.6 |
| Goals For | 1.9 |
| Goals Against | 2.9 |
| Hits | 19.2 |
| Shots Blocked | 7.6 |
| Pim | 6.9 |
| 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 |
| 12 | 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 |
|---|---|---|---|
| 2,572,113$ | 0$ | 2,223,068$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 74 | 21,775$ | 1,110,525$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,110,525$ | 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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