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Full Scoreboard »» |
![]() | Charlotte Checkers 1 6-8-1, 13pts · 11th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nikita Grebenkin | 0 | LW/RW | 99.00 | 73 | 56 | 67 | 70 | 79 | 75 | 70 | 66 | 44 | 66 | 61 | 63 | 66 | 55 | 50 | 1 | 50 | 64 | 23 | 2,000,000$/4yrs | |||
Juho Lammikko (R) | 0 | C | 99.00 | 67 | 40 | 77 | 68 | 73 | 75 | 71 | 62 | 70 | 58 | 56 | 62 | 62 | 75 | 66 | 1 | 50 | 63 | 30 | 2,000,000$/4yrs | |||
Mikael Pyyhtia | 0 | LW/RW | 99.00 | 60 | 41 | 77 | 73 | 65 | 71 | 67 | 66 | 44 | 64 | 61 | 63 | 67 | 54 | 50 | 1 | 50 | 63 | 24 | 2,500,000$/3yrs | |||
Mitchell Stephens | 0 | C | 99.00 | 58 | 41 | 76 | 65 | 71 | 74 | 72 | 65 | 58 | 61 | 58 | 57 | 62 | 66 | 57 | 1 | 50 | 62 | 29 | 2,500,000$/3yrs | |||
Jack Williams | 0 | RW | 99.00 | 57 | 41 | 74 | 70 | 66 | 71 | 63 | 64 | 57 | 61 | 58 | 60 | 64 | 52 | 50 | 1 | 50 | 61 | 24 | 1,500,000$/3yrs | |||
Martin Chromiak | 0 | RW | 99.00 | 60 | 41 | 74 | 69 | 64 | 66 | 64 | 66 | 45 | 63 | 62 | 58 | 65 | 51 | 50 | 1 | 50 | 61 | 23 | 2,000,000$/1yrs | |||
Givani Smith | 0 | RW | 99.00 | 67 | 55 | 62 | 62 | 75 | 69 | 67 | 60 | 41 | 55 | 55 | 59 | 59 | 64 | 56 | 1 | 50 | 60 | 28 | 1,300,000$/1yrs | |||
Nate Smith | 0 | C | 100.00 | 56 | 44 | 66 | 67 | 60 | 68 | 66 | 62 | 61 | 61 | 55 | 57 | 61 | 55 | 50 | 1 | 50 | 59 | 27 | 1,500,000$/3yrs | |||
Marcel Marcel | 0 | C/LW/RW | 100.00 | 68 | 45 | 68 | 56 | 76 | 59 | 56 | 55 | 41 | 51 | 51 | 56 | 54 | 50 | 50 | 1 | 50 | 55 | 22 | 975,000$/1yrs | |||
Zayne Parekh (R) | 0 | D | 100.00 | 60 | 40 | 80 | 73 | 75 | 84 | 66 | 69 | 40 | 64 | 67 | 61 | 70 | 56 | 50 | 1 | 50 | 66 | 20 | 2,000,000$/4yrs | |||
Charles-Alexis Legault | 0 | D | 100.00 | 63 | 51 | 69 | 70 | 83 | 76 | 59 | 64 | 40 | 59 | 59 | 68 | 65 | 53 | 50 | 1 | 50 | 65 | 22 | 915,833$/1yrs | |||
Tobias Bjornfot | 0 | D | 100.00 | 58 | 41 | 73 | 71 | 75 | 76 | 67 | 64 | 40 | 60 | 60 | 66 | 65 | 68 | 61 | 1 | 50 | 65 | 25 | 2,000,000$/4yrs | |||
Maxence Guenette | 0 | D | 100.00 | 63 | 42 | 71 | 65 | 68 | 66 | 64 | 63 | 40 | 61 | 55 | 67 | 61 | 53 | 50 | 1 | 50 | 62 | 25 | 1,800,000$/3yrs | |||
Calen Addison | 0 | D | 100.00 | 55 | 44 | 67 | 68 | 63 | 69 | 67 | 67 | 40 | 65 | 57 | 60 | 64 | 55 | 51 | 1 | 50 | 61 | 26 | 2,000,000$/4yrs | |||
Shai Buium | 0 | D | 100.00 | 64 | 41 | 71 | 64 | 69 | 62 | 59 | 60 | 40 | 58 | 53 | 64 | 58 | 51 | 50 | 1 | 50 | 60 | 23 | 925,000$/1yrs | |||
Mason Millman | 0 | D | 100.00 | 61 | 41 | 72 | 70 | 61 | 64 | 62 | 58 | 40 | 53 | 53 | 66 | 60 | 52 | 50 | 1 | 50 | 60 | 24 | 1,200,000$/4yrs | |||
Chase Priskie | 0 | D | 100.00 | 52 | 41 | 64 | 65 | 56 | 65 | 63 | 60 | 40 | 57 | 58 | 61 | 61 | 60 | 50 | 1 | 50 | 59 | 30 | 2,200,000$/3yrs | |||
Kirill Kirsanov (R) | 0 | D | 100.00 | 63 | 41 | 70 | 61 | 67 | 61 | 59 | 58 | 40 | 52 | 52 | 64 | 56 | 51 | 50 | 1 | 50 | 59 | 23 | 2,000,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jesse Ylonen | 0 | RW | 100.00 | 56 | 41 | 67 | 60 | 60 | 62 | 61 | 58 | 42 | 57 | 53 | 56 | 56 | 54 | 51 | 1 | 50 | 56 | 26 | 1,500,000$/3yrs | |||
Luke Henman | 0 | C | 100.00 | 52 | 41 | 66 | 60 | 51 | 61 | 59 | 55 | 41 | 52 | 51 | 52 | 54 | 53 | 50 | 1 | 50 | 54 | 26 | 1,500,000$/2yrs | |||
Quinn Olson | 0 | C/LW/RW | 100.00 | 54 | 40 | 58 | 56 | 55 | 55 | 52 | 51 | 40 | 50 | 50 | 52 | 52 | 52 | 50 | 1 | 50 | 52 | 25 | 2,000,000$/4yrs | |||
Sean Day (R) | 0 | D | 100.00 | 57 | 40 | 70 | 55 | 67 | 66 | 64 | 58 | 40 | 55 | 52 | 57 | 55 | 55 | 50 | 1 | 50 | 57 | 28 | 1,000,000$/4yrs | |||
Devante Stephens | 0 | D | 100.00 | 54 | 42 | 58 | 59 | 57 | 63 | 61 | 54 | 40 | 52 | 52 | 60 | 54 | 58 | 50 | 1 | 50 | 56 | 29 | 2,200,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Tomkins | 0 | 97.00 | 70 | 71 | 73 | 65 | 70 | 70 | 74 | 69 | 72 | 71 | 69 | 65 | 58 | 1 | 50 | 65 | 32 | 975,000$/1yrs |
Cameron Whitehead | 0 | 100.00 | 63 | 58 | 58 | 63 | 61 | 59 | 59 | 55 | 59 | 60 | 53 | 51 | 50 | 1 | 50 | 55 | 23 | 2,000,000$/4yrs |
| Scratches | ||||||||||||||||||||
Nolan Maier | 0 | 100.00 | 64 | 55 | 55 | 59 | 59 | 57 | 56 | 54 | 56 | 59 | 50 | 52 | 50 | 1 | 50 | 53 | 25 | 1,500,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Brian Wiseman | 73 | 65 | 69 | 68 | 61 | 56 | 1 | CAN | 54 | 3 | 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 | Nikita Grebenkin | Checkers 1 (FLO) | LW/RW | 15 | 6 | 6 | 12 | -6 | 22 | 10 | 27 | 48 | 16 | 25 | 12.50% | 8 | 24.16 | 3 | 0 | 3 | 0 | 0 | 0 | 26 | 0 | 1 | 35.29% | 0 | 0 | 0.80 | 1 | 2 | 0.49 | |||
| 2 | Mikael Pyyhtia | Checkers 1 (FLO) | LW/RW | 15 | 5 | 6 | 11 | -1 | 6 | 0 | 16 | 34 | 7 | 26 | 14.71% | 11 | 21.40 | 2 | 3 | 5 | 0 | 0 | 0 | 19 | 1 | 0 | 35.71% | 0 | 0 | 0.73 | 0 | 2 | 0.64 | |||
| 3 | Mitchell Stephens | Checkers 1 (FLO) | C | 15 | 2 | 7 | 9 | 0 | 6 | 0 | 20 | 18 | 6 | 11 | 11.11% | 5 | 19.70 | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 1 | 0 | 44.30% | 0 | 0 | 0.60 | 0 | 0 | 0.44 | |||
| 4 | Juho Lammikko | Checkers 1 (FLO) | C | 15 | 3 | 5 | 8 | -6 | 4 | 0 | 21 | 20 | 6 | 12 | 15.00% | 2 | 19.69 | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 1 | 0 | 54.01% | 0 | 0 | 0.53 | 0 | 0 | 0.31 | |||
| 5 | Jack Williams | Checkers 1 (FLO) | RW | 15 | 4 | 4 | 8 | -7 | 0 | 0 | 20 | 36 | 5 | 27 | 11.11% | 4 | 22.28 | 0 | 1 | 1 | 0 | 1 | 1 | 27 | 0 | 0 | 44.19% | 0 | 0 | 0.53 | 0 | 0 | 0.44 | |||
| 6 | Martin Chromiak | Checkers 1 (FLO) | RW | 15 | 5 | 2 | 7 | -1 | 0 | 0 | 26 | 27 | 9 | 8 | 18.52% | 7 | 18.85 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 0 | 0 | 0.47 | 2 | 2 | 0.51 | |||
| 7 | Tobias Bjornfot | Checkers 1 (FLO) | D | 15 | 0 | 5 | 5 | 4 | 2 | 0 | 5 | 12 | 1 | 4 | 0.00% | 20 | 18.27 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.41 | |||
| 8 | Givani Smith | Checkers 1 (FLO) | RW | 15 | 1 | 3 | 4 | -3 | 12 | 0 | 19 | 20 | 4 | 11 | 5.00% | 5 | 16.80 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 41.18% | 0 | 0 | 0.27 | 0 | 0 | 0.12 | |||
| 9 | Charles-Alexis Legault | Checkers 1 (FLO) | D | 15 | 1 | 2 | 3 | -5 | 45 | 15 | 14 | 21 | 10 | 5 | 4.76% | 20 | 23.25 | 0 | 1 | 1 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | -0.31 | |||
| 10 | Nate Smith | Checkers 1 (FLO) | C | 15 | 0 | 3 | 3 | -1 | 2 | 0 | 9 | 17 | 3 | 8 | 0.00% | 3 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.56% | 0 | 0 | 0.20 | 0 | 0 | 0.17 | |||
| 11 | Maxence Guenette | Checkers 1 (FLO) | D | 15 | 0 | 3 | 3 | 3 | 19 | 5 | 8 | 8 | 2 | 5 | 0.00% | 10 | 18.40 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.06 | |||
| 12 | Marcel Marcel | Checkers 1 (FLO) | C/LW/RW | 15 | 2 | 0 | 2 | 1 | 0 | 0 | 6 | 9 | 1 | 3 | 22.22% | 1 | 14.29 | 0 | 0 | 0 | 1 | 0 | 1 | 19 | 0 | 0 | 30.00% | 0 | 0 | 0.13 | 0 | 0 | 0.16 | |||
| 13 | Zayne Parekh | Checkers 1 (FLO) | D | 14 | 0 | 2 | 2 | -5 | 7 | 5 | 14 | 14 | 4 | 5 | 0.00% | 13 | 20.40 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.00 | |||
| 14 | Chase Priskie | Checkers 1 (FLO) | D | 15 | 0 | 0 | 0 | -4 | 2 | 0 | 10 | 4 | 4 | 1 | 0.00% | 7 | 13.52 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| 15 | Kirill Kirsanov | Checkers 1 (FLO) | D | 15 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 3 | 4.63 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
| 16 | Shai Buium | Checkers 1 (FLO) | D | 15 | 0 | 0 | 0 | -2 | 2 | 0 | 8 | 0 | 0 | 1 | 0.00% | 4 | 11.26 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
| 17 | Sean Day | Checkers 1 (FLO) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 18 | Calen Addison | Checkers 1 (FLO) | D | 15 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 1 | 0 | 0 | 0.00% | 4 | 11.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
| 19 | Mason Millman | Checkers 1 (FLO) | D | 15 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 5 | 6.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
| Team Total or Average | 270 | 29 | 48 | 77 | -39 | 129 | 35 | 229 | 290 | 78 | 152 | 10.00% | 132 | 16.59 | 6 | 9 | 15 | 166 | 1 | 1 | 2 | 234 | 4 | 1 | 47.44% | 683 | 73 | 92 | 0 | 0 | 0.34 | 3 | 6 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Matt Tomkins | Checkers 1 (FLO) | 13 | 5 | 8 | 0 | 0.901 | 2.60 | 762 | 0 | 1 | 33 | 332 | 173 | 0 | 0 | 0.833 | 6 | 13 | 2 | 2 | 1 | 0 |
| 2 | Cameron Whitehead | Checkers 1 (FLO) | 3 | 1 | 0 | 1 | 0.842 | 2.43 | 148 | 0 | 1 | 6 | 38 | 19 | 0 | 0 | 0.000 | 0 | 2 | 13 | 0 | 0 | 0 |
| Team Total or Average | 16 | 6 | 8 | 1 | 0.895 | 2.57 | 911 | 0 | 2 | 39 | 370 | 192 | 0 | 0 | 0.833 | 6 | 15 | 15 | 2 | 1 | 0 |
| 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 | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Cameron Whitehead | G | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
| Charles-Alexis Legault | D | 22 | 915,833$ | 975,000$ | RFA | ||||||
| Chase Priskie | D | 30 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | ||||
| Devante Stephens | D | 29 | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||||
| Givani Smith | RW | 28 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Jack Williams | RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
| Jesse Ylonen | RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Juho Lammikko | C | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Kirill Kirsanov | D | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Luke Henman | C | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Marcel Marcel | C/LW/RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Martin Chromiak | RW | 23 | 2,000,000$ | 2,000,000$ | |||||||
| Mason Millman | D | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Matt Tomkins | G | 32 | 975,000$ | 975,000$ | UFA | ||||||
| Maxence Guenette | D | 25 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | ||||
| Mikael Pyyhtia | LW/RW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
| Mitchell Stephens | C | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
| Nate Smith | C | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Nikita Grebenkin | LW/RW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
| Nolan Maier | G | 25 | 1,500,000$ | 1,500,000$ | |||||||
| Quinn Olson | C/LW/RW | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Sean Day | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Shai Buium | D | 23 | 925,000$ | 975,000$ | RFA | ||||||
| Tobias Bjornfot | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Zayne Parekh | D | 20 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA |
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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 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 4 | 11 | 14 | 3 | 48 | 65 | 104 | 121 | 6 | 71 | 19 | 42 | 25 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 30.8% | 8.3% | 85.9% | 94.2 | Unlucky |
| 2 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 4 | 11 | 14 | 3 | 22 | 65 | 104 | 121 | 6 | 28 | 10 | 12 | 15 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 14.3% | 4.5% | 78.6% | 83.1 | Unlucky |
| 3 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 4 | 11 | 14 | 3 | 12 | 65 | 104 | 121 | 6 | 37 | 18 | 9 | 12 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 50.0% | 25.0% | 94.6% | 119.6 | LUCKY |
| 4 | Reign | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 4 | 11 | 14 | 3 | 7 | 65 | 104 | 121 | 6 | 15 | 6 | 8 | 13 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 100.0% | 14.3% | 100.0% | 114.3 | LUCKY |
| 5 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 4 | 11 | 14 | 3 | 22 | 65 | 104 | 121 | 6 | 4 | 3 | 8 | 26 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 0.0% | 9.1% | 100.0% | 109.1 | LUCKY |
| 6 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 4 | 11 | 14 | 3 | 36 | 65 | 104 | 121 | 6 | 18 | 6 | 6 | 34 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 0.0% | 5.6% | 77.8% | 83.3 | Unlucky |
| 7 | Penguins | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.250 | 9 | 15 | 24 | 0 | 0 | 4 | 11 | 14 | 3 | 93 | 65 | 104 | 121 | 6 | 144 | 49 | 30 | 55 | 8 | 0 | 0.00% | 9 | 3 | 66.67% | 1 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 52.9% | 9.7% | 92.4% | 102.0 | LUCKY |
| 8 | Barracuda | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 4 | 11 | 14 | 3 | 40 | 65 | 104 | 121 | 6 | 32 | 13 | 10 | 33 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 83.3% | 15.0% | 93.8% | 108.8 | LUCKY |
| 9 | Crunch | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 4 | 11 | 14 | 3 | 10 | 65 | 104 | 121 | 6 | 21 | 8 | 4 | 16 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 50.0% | 30.0% | 81.0% | 111.0 | FUN |
| _Vs Division | 1 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 4 | 11 | 14 | 3 | 10 | 65 | 104 | 121 | 6 | 21 | 8 | 4 | 16 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 50.0% | 30.0% | 81.0% | 111.0 | FUN | |
| _Vs Conference | 10 | 2 | 7 | 0 | 0 | 1 | 0 | 0 | 20 | 29 | -9 | 5 | 0.250 | 20 | 32 | 52 | 0 | 1 | 4 | 11 | 14 | 3 | 209 | 65 | 104 | 121 | 6 | 258 | 85 | 90 | 156 | 17 | 4 | 23.53% | 24 | 7 | 70.83% | 1 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 42.1% | 9.6% | 88.8% | 98.3 | FUN | |
| _Since Last GM Reset | 15 | 4 | 8 | 0 | 0 | 1 | 2 | 0 | 31 | 39 | -8 | 13 | 0.433 | 31 | 48 | 79 | 0 | 2 | 4 | 11 | 14 | 3 | 290 | 65 | 104 | 121 | 6 | 370 | 132 | 129 | 229 | 24 | 6 | 25.00% | 36 | 8 | 77.78% | 1 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 44.6% | 10.7% | 89.5% | 100.1 | FUN | |
| Total | 15 | 4 | 8 | 0 | 0 | 1 | 2 | 0 | 31 | 39 | -8 | 13 | 0.433 | 31 | 48 | 79 | 0 | 2 | 4 | 11 | 14 | 3 | 290 | 65 | 104 | 121 | 6 | 370 | 132 | 129 | 229 | 24 | 6 | 25.00% | 36 | 8 | 77.78% | 1 | 105 | 214 | 49.07% | 128 | 278 | 46.04% | 91 | 181 | 50.28% | 257 | 101 | 307 | 157 | 349 | 177 | 44.6% | 10.7% | 89.5% | 100.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 23 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 214 |
| Neutral Zone Start | 181 |
| Defensive Zone Start | 278 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 324 |
| Faceoffs Lost | 349 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 4.3 | 9.57 |
| 2nd Period | 11.3 | 20.31 |
| 3rd Period | 19.3 | 30.68 |
| Overtime | 19.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 1.0 | 1.65 |
| 3rd Period | 1.9 | 2.67 |
| Overtime | 2.1 | 2.83 |
| Even Strenght Goal | 24 |
|---|---|
| PP Goal | 6 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 3 |
| Lost | 5 | 3 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 24 |
|---|---|
| PP Goal | 6 |
| PK Attempt | 36 |
| PK Goal Against | 8 |
| Home | |
|---|---|
| Shots For | 19.3 |
| Shots Against | 24.7 |
| Goals For | 2.1 |
| Goals Against | 2.6 |
| Hits | 15.3 |
| Shots Blocked | 8.8 |
| Pim | 8.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mon, Oct 12 | NYR | @ | FLO | NYR3,FLO2 | RECAP | |||||||||
| Wed, Oct 14 | FLO | @ | CAR | FLO2,CAR5 | RECAP | |||||||||
| Thu, Oct 15 | FLO | @ | PIT | FLO4,PIT2 | RECAP | |||||||||
| Sat, Oct 17 | NJD | @ | FLO | NJD0,FLO2 | RECAP | |||||||||
| Mon, Oct 19 | PIT | @ | FLO | PIT3,FLO1 | RECAP | |||||||||
| Wed, Oct 21 | FLO | @ | TAM | FLO3,TAM4 (OT) | RECAP | |||||||||
| Fri, Oct 23 | CAR | @ | FLO | CAR5,FLO2 | RECAP | |||||||||
| Sun, Oct 25 | FLO | @ | S J | FLO4,S J1 | RECAP | |||||||||
| Tue, Oct 27 | FLO | @ | CHI | FLO1,CHI6 | RECAP | |||||||||
| Thu, Oct 29 | S J | @ | FLO | S J1,FLO2 (SO) | RECAP | |||||||||
| Sat, Oct 31 | FLO | @ | PIT | FLO3,PIT4 | RECAP | |||||||||
| Mon, Nov 2 | NYR | @ | FLO | NYR1,FLO0 | RECAP | |||||||||
| Wed, Nov 4 | FLO | @ | DAL | FLO3,DAL2 | RECAP | |||||||||
| Fri, Nov 6 | LOS | @ | FLO | LOS0,FLO1 (SO) | RECAP | |||||||||
| Sun, Nov 8 | PIT | @ | FLO | PIT2,FLO1 | RECAP | |||||||||
| Tue, Nov 10 | FLO | @ | COL | |||||||||||
| Thu, Nov 12 | CHI | @ | FLO | |||||||||||
| Sat, Nov 14 | OTT | @ | FLO | |||||||||||
| Mon, Nov 16 | FLO | @ | SEA | |||||||||||
| Wed, Nov 18 | NYR | @ | FLO | |||||||||||
| Fri, Nov 20 | FLO | @ | CAR | |||||||||||
| Sun, Nov 22 | FLO | @ | CAL | |||||||||||
| Tue, Nov 24 | BOS | @ | FLO | |||||||||||
| Thu, Nov 26 | FLO | @ | MTL | |||||||||||
| Sat, Nov 28 | FLO | @ | NYR | |||||||||||
| Sun, Nov 29 | FLO | @ | PHI | |||||||||||
| Tue, Dec 1 | CAR | @ | FLO | |||||||||||
| Thu, Dec 3 | BOS | @ | FLO | |||||||||||
| Sat, Dec 5 | FLO | @ | DET | |||||||||||
| Mon, Dec 7 | PHI | @ | FLO | |||||||||||
| Tue, Dec 8 | BOS | @ | FLO | |||||||||||
| Thu, Dec 10 | FLO | @ | BOS | |||||||||||
| Sat, Dec 12 | FLO | @ | LOS | |||||||||||
| Mon, Dec 14 | FLO | @ | S J | |||||||||||
| Tue, Dec 15 | STL | @ | FLO | |||||||||||
| Thu, Dec 17 | FLO | @ | NJD | |||||||||||
| Sat, Dec 19 | NJD | @ | FLO | |||||||||||
| Mon, Dec 21 | FLO | @ | PIT | |||||||||||
| Wed, Dec 23 | PHI | @ | FLO | |||||||||||
| Fri, Dec 25 | ANA | @ | FLO | |||||||||||
| Sun, Dec 27 | FLO | @ | ANA | |||||||||||
| Mon, Dec 28 | BUF | @ | FLO | |||||||||||
| Wed, Dec 30 | EDM | @ | FLO | |||||||||||
| Fri, Jan 1 | FLO | @ | NAS | |||||||||||
| Sun, Jan 3 | FLO | @ | MIN | |||||||||||
| Tue, Jan 5 | FLO | @ | VAN | |||||||||||
| Wed, Jan 6 | MIN | @ | FLO | |||||||||||
| Fri, Jan 8 | VAN | @ | FLO | |||||||||||
| Sat, Jan 9 | FLO | @ | OTT | |||||||||||
| Mon, Jan 11 | TOR | @ | FLO | |||||||||||
| Wed, Jan 13 | FLO | @ | TOR | |||||||||||
| Fri, Jan 15 | FLO | @ | PHO | |||||||||||
| Sat, Jan 16 | FLO | @ | EDM | |||||||||||
| Mon, Jan 18 | CLB | @ | FLO | |||||||||||
| Tue, Jan 19 | FLO | @ | PHI | |||||||||||
| Thu, Jan 21 | SEA | @ | FLO | |||||||||||
| Sat, Jan 23 | CHI | @ | FLO | |||||||||||
| Mon, Jan 25 | WPG | @ | FLO | |||||||||||
| Tue, Jan 26 | FLO | @ | CLB | |||||||||||
| Fri, Jan 29 | PHI | @ | FLO | |||||||||||
| Sat, Jan 30 | FLO | @ | CHI | |||||||||||
| Mon, Feb 1 | DET | @ | FLO | |||||||||||
| Wed, Feb 3 | FLO | @ | WAS | |||||||||||
| Fri, Feb 5 | MTL | @ | FLO | |||||||||||
| Sat, Feb 6 | FLO | @ | BOS | |||||||||||
| Mon, Feb 8 | FLO | @ | NYI | |||||||||||
| Tue, Feb 9 | CAL | @ | FLO | |||||||||||
| Fri, Feb 12 | PHO | @ | FLO | |||||||||||
| Mon, Feb 15 | FLO | @ | NYI | |||||||||||
| Tue, Feb 16 | COL | @ | FLO | |||||||||||
| Thu, Feb 18 | FLO | @ | STL | |||||||||||
| Sat, Feb 20 | DAL | @ | FLO | |||||||||||
| Sun, Feb 21 | FLO | @ | WPG | |||||||||||
| Wed, Feb 24 | WAS | @ | FLO | |||||||||||
| Sat, Feb 27 | FLO | @ | WAS | |||||||||||
| Sun, Feb 28 | TAM | @ | FLO | |||||||||||
| Wed, Mar 3 | FLO | @ | STL | |||||||||||
| Thu, Mar 4 | NYI | @ | FLO | |||||||||||
| Mon, Mar 8 | NYI | @ | FLO | |||||||||||
| Tue, Mar 9 | FLO | @ | NYR | |||||||||||
| Fri, Mar 12 | NAS | @ | FLO | |||||||||||
| Sun, Mar 14 | FLO | @ | BUF | |||||||||||
| Mon, Mar 15 | FLO | @ | WPG | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Fri, Mar 19 | WAS | @ | FLO | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,410,000$ | 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 |
| 34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,410,000$ | 4,410,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 875,256$ | 0$ | 785,736$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 156 | 30,309$ | 4,031,097$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 4,031,097$ | 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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