| Player | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | MO | OV | AGE | SALARY | YRS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tye Felhaber#43 · LW | LW | 100 | 86 | 40 | 62 | 59 | 72 | 71 | 88 | 60 | 47 | 60 | 63 | 71 | 62 | 72 | 68 | 47 | 73 | 28 | 800,000$ | 1 |
Filip Bystedt (R)#0 · C / LW | C/LW | 100 | 67 | 40 | 85 | 65 | 84 | 70 | 85 | 62 | 39 | 65 | 64 | 62 | 65 | 61 | 60 | 48 | 73 | 22 | 918,333$ | 1 |
Carter Bear (R)#0 · LW | LW | 100 | 63 | 40 | 83 | 66 | 70 | 65 | 75 | 59 | 38 | 64 | 67 | 59 | 69 | 65 | 67 | 47 | 73 | 20 | 974,167$ | 3 |
Marek Vanacker (R)#0 · LW | LW | 100 | 62 | 36 | 91 | 67 | 65 | 65 | 75 | 59 | 38 | 61 | 69 | 59 | 70 | 65 | 67 | 47 | 73 | 20 | 941,667$ | 3 |
Colton Dach#0 · C / LW | C/LW | 100 | 94 | 48 | 73 | 59 | 81 | 74 | 78 | 57 | 60 | 61 | 59 | 68 | 58 | 64 | 61 | 45 | 72 | 23 | 1,000,000$ | 2 |
Isak Rosen (R)#0 · RW | RW | 100 | 60 | 31 | 99 | 59 | 62 | 73 | 72 | 57 | 58 | 59 | 63 | 58 | 60 | 63 | 63 | 47 | 70 | 23 | 1,000,000$ | 1 |
Reid Schaefer (R)#0 · LW | LW | 100 | 82 | 40 | 87 | 55 | 92 | 71 | 72 | 55 | 56 | 54 | 63 | 66 | 59 | 62 | 61 | 47 | 70 | 23 | 886,666$ | 1 |
Francesco Pinelli (R)#0 · C | C | 100 | 75 | 40 | 76 | 60 | 74 | 67 | 88 | 58 | 72 | 59 | 61 | 64 | 60 | 63 | 61 | 47 | 70 | 23 | 975,000$ | 1 |
Dylan Peterson (R)#0 · C / LW / RW | C/LW/RW | 100 | 98 | 40 | 50 | 59 | 83 | 66 | 84 | 58 | 46 | 57 | 61 | 63 | 59 | 65 | 60 | 47 | 70 | 24 | 850,000$ | 1 |
Ozzy Wiesblatt (R)#0 · RW | RW | 100 | 84 | 43 | 71 | 55 | 69 | 72 | 72 | 54 | 58 | 59 | 53 | 69 | 54 | 65 | 62 | 35 | 69 | 24 | 800,000$ | 1 |
Daniil But (R)#0 · LW | LW | 100 | 62 | 33 | 90 | 57 | 84 | 75 | 69 | 56 | 67 | 60 | 61 | 60 | 59 | 60 | 59 | 49 | 69 | 21 | 972,500$ | 2 |
David Edstrom (R)#0 · C | C | 100 | 70 | 40 | 82 | 60 | 79 | 66 | 74 | 56 | 68 | 59 | 58 | 64 | 59 | 59 | 57 | 47 | 69 | 21 | 909,166$ | 2 |
Chase Yoder (R)#0 · LW | LW | 100 | 67 | 40 | 85 | 55 | 77 | 63 | 69 | 52 | 35 | 54 | 55 | 64 | 55 | 64 | 63 | 47 | 66 | 24 | 800,000$ | 1 |
Taige Harding (R)#0 · D | D | 100 | 99 | 41 | 50 | 54 | 98 | 65 | 75 | 54 | 30 | 57 | 54 | 65 | 56 | 64 | 59 | 47 | 70 | 24 | 880,000$ | 1 |
Luca Marrelli (R)#0 · D | D | 100 | 64 | 40 | 89 | 60 | 72 | 65 | 71 | 55 | 30 | 62 | 57 | 58 | 60 | 59 | 58 | 47 | 70 | 21 | 931,944$ | 3 |
Helge Grans (R)#0 · D | D | 100 | 71 | 40 | 81 | 55 | 83 | 65 | 87 | 54 | 30 | 58 | 55 | 65 | 57 | 64 | 62 | 47 | 69 | 24 | 787,500$ | 1 |
Leon Muggli (R)#0 · D | D | 100 | 59 | 40 | 94 | 57 | 66 | 64 | 70 | 54 | 30 | 58 | 53 | 63 | 56 | 57 | 56 | 47 | 68 | 20 | 932,500$ | 3 |
Peyton Kettles (R)#0 · D | D | 100 | 71 | 45 | 79 | 59 | 76 | 59 | 75 | 48 | 30 | 53 | 53 | 67 | 62 | 64 | 64 | 47 | 68 | 19 | 958,333$ | 3 |
Adam Jiricek (R)#0 · D | D | 100 | 64 | 33 | 81 | 55 | 76 | 80 | 90 | 50 | 30 | 56 | 59 | 55 | 54 | 58 | 56 | 47 | 67 | 20 | 941,667$ | 3 |
| Scratches | ||||||||||||||||||||||
Jakub Brabenec (R)#0 · C | C | 100 | 65 | 40 | 87 | 59 | 74 | 66 | 87 | 56 | 66 | 59 | 59 | 63 | 59 | 63 | 62 | 26 | 69 | 23 | 950,000$ | 2 |
Landon Slaggert#0 · LW | LW | 100 | 71 | 35 | 84 | 56 | 71 | 73 | 78 | 56 | 58 | 58 | 57 | 68 | 56 | 65 | 63 | 26 | 69 | 24 | 800,000$ | 1 |
Ethan Procyszyn (R)#0 · C | C | 100 | 63 | 44 | 77 | 63 | 72 | 63 | 75 | 54 | 57 | 58 | 62 | 62 | 66 | 65 | 66 | 39 | 69 | 20 | 1,040,000$ | 3 |
Caedan Bankier (R)#0 · C | C | 100 | 67 | 40 | 85 | 58 | 77 | 65 | 88 | 56 | 72 | 57 | 59 | 61 | 58 | 63 | 62 | 26 | 68 | 23 | 850,000$ | 2 |
Tinus Luc Koblar (R)#0 · C | C | 100 | 69 | 40 | 82 | 61 | 80 | 63 | 88 | 58 | 60 | 56 | 61 | 54 | 59 | 54 | 52 | 26 | 68 | 19 | 800,000$ | 3 |
Noel Nordh (R)#0 · LW | LW | 100 | 60 | 40 | 94 | 59 | 80 | 64 | 76 | 56 | 50 | 59 | 56 | 60 | 58 | 59 | 58 | 26 | 68 | 21 | 935,000$ | 2 |
Joshua Mahura#0 · D | D | 100 | 70 | 32 | 64 | 55 | 72 | 79 | 79 | 53 | 30 | 60 | 52 | 65 | 40 | 71 | 67 | 26 | 70 | 28 | 1,250,000$ | 2 |
Nikita Okhotyuk#0 · D | D | 100 | 85 | 42 | 50 | 45 | 77 | 60 | 69 | 45 | 30 | 50 | 48 | 65 | 34 | 62 | 57 | 26 | 63 | 25 | 800,000$ | 1 |
| TEAM AVERAGE | 100 | 72 | 39 | 79 | 58 | 77 | 68 | 78 | 55 | 48 | 58 | 59 | 63 | 58 | 63 | 61 | 41 | 69 | ||||
| Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | MO | OV | AGE | SALARY | YRS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Niklas Kokko#0 · Goalie | 100 | 71 | 73 | 67 | 79 | 62 | 71 | 70 | 71 | 71 | 72 | 71 | 60 | 67 | 51 | 74 | 22 | 891,666$ | 1 |
Michael Hrabal#0 · Goalie | 100 | 71 | 77 | 72 | 84 | 66 | 66 | 68 | 67 | 69 | 64 | 67 | 67 | 68 | 41 | 74 | 21 | 1,075,000$ | 3 |
| Scratches | |||||||||||||||||||
Gabriel D'Aigle#0 · Goalie | 100 | 66 | 80 | 75 | 84 | 60 | 61 | 63 | 62 | 64 | 59 | 62 | 65 | 65 | 33 | 71 | 19 | 995,000$ | 3 |
| TEAM AVERAGE | 100 | 69 | 77 | 71 | 82 | 63 | 66 | 67 | 67 | 68 | 65 | 67 | 64 | 67 | 42 | 73 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Gruden | 63 | 65 | 71 | 63 | 78 | 75 | 58 | USA | 56 | 2 | 500,000$ |
| General Manager | Jean Francois Barette |
|---|
| 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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Filip Bystedt#0 · C / LW | Checkers (FLA) | C/LW | 14 | 4 | 8 | 12 | -2 | 9 | 5 | 17 | 28 | 30 | 16 | 25 | 13.33% | 3 | 219 | 15.66 | 2 | 3 | 5 | 10 | 42 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 42.24% | 277 | 0 | 0 | 0 | 0 | 1.09 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
| 2 | Dylan Peterson#0 · C / LW / RW | Checkers (FLA) | C/LW/RW | 14 | 5 | 7 | 12 | 2 | 18 | 0 | 65 | 15 | 45 | 12 | 28 | 11.11% | 5 | 267 | 19.09 | 1 | 1 | 2 | 13 | 48 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 44.19% | 43 | 0 | 0 | 1 | 0 | 0.90 | 1 | 2 | 0 | 0 | 0 | 1 | 2 | 1 |
| 3 | Colton Dach#0 · C / LW | Checkers (FLA) | C/LW | 14 | 5 | 6 | 11 | 4 | 11 | 5 | 15 | 27 | 36 | 11 | 28 | 13.89% | 2 | 225 | 16.08 | 1 | 0 | 1 | 3 | 3 | 0 | 0 | 0 | 1 | 16 | 0 | 0 | 54.51% | 277 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 4 | Tye Felhaber#43 · LW | Checkers (FLA) | LW | 14 | 6 | 4 | 10 | 5 | 12 | 0 | 8 | 32 | 45 | 14 | 30 | 13.33% | 6 | 287 | 20.55 | 1 | 2 | 3 | 4 | 25 | 0 | 0 | 0 | 1 | 49 | 1 | 0 | 43.38% | 136 | 0 | 0 | 0 | 0 | 0.70 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 1 |
| 5 | Luca Marrelli#0 · D | Checkers (FLA) | D | 14 | 2 | 8 | 10 | -3 | 0 | 0 | 4 | 11 | 23 | 6 | 9 | 8.70% | 15 | 327 | 23.36 | 1 | 3 | 4 | 10 | 44 | 0 | 0 | 0 | 1 | 42 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 6 | Marek Vanacker#0 · LW | Checkers (FLA) | LW | 14 | 5 | 5 | 10 | -7 | 4 | 0 | 6 | 16 | 39 | 17 | 36 | 12.82% | 2 | 247 | 17.66 | 1 | 2 | 3 | 8 | 47 | 0 | 0 | 0 | 1 | 27 | 2 | 0 | 39.56% | 91 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| 7 | Helge Grans#0 · D | Checkers (FLA) | D | 14 | 2 | 7 | 9 | 3 | 16 | 0 | 31 | 7 | 23 | 9 | 12 | 8.70% | 18 | 310 | 22.15 | 1 | 1 | 2 | 11 | 42 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 8 | Carter Bear#0 · LW | Checkers (FLA) | LW | 14 | 2 | 7 | 9 | -1 | 2 | 0 | 13 | 22 | 47 | 10 | 19 | 4.26% | 1 | 279 | 19.96 | 0 | 4 | 4 | 4 | 42 | 0 | 0 | 0 | 2 | 51 | 0 | 0 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.64 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 |
| 9 | Peyton Kettles#0 · D | Checkers (FLA) | D | 14 | 1 | 6 | 7 | -6 | 12 | 0 | 34 | 17 | 9 | 5 | 7 | 11.11% | 20 | 251 | 17.97 | 0 | 1 | 1 | 2 | 6 | 0 | 0 | 0 | 1 | 39 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10 | Jonathan Lekkerimaki#88 · C / RW | Panthers | C/RW | 8 | 2 | 4 | 6 | 1 | 2 | 0 | 6 | 18 | 13 | 5 | 14 | 15.38% | 3 | 113 | 14.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.33% | 120 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 11 | Taige Harding#0 · D | Checkers (FLA) | D | 14 | 2 | 4 | 6 | -2 | 20 | 0 | 61 | 8 | 13 | 6 | 12 | 15.38% | 5 | 277 | 19.81 | 1 | 1 | 2 | 7 | 46 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 12 | Leon Muggli#0 · D | Checkers (FLA) | D | 14 | 1 | 4 | 5 | 6 | 8 | 0 | 6 | 14 | 11 | 3 | 10 | 9.09% | 8 | 287 | 20.52 | 1 | 2 | 3 | 5 | 42 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | Isak Rosen#0 · RW | Checkers (FLA) | RW | 14 | 1 | 3 | 4 | -4 | 2 | 0 | 6 | 18 | 32 | 9 | 19 | 3.13% | 1 | 173 | 12.40 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14 | Francesco Pinelli#0 · C | Checkers (FLA) | C | 14 | 2 | 2 | 4 | -3 | 2 | 0 | 29 | 24 | 32 | 11 | 22 | 6.25% | 0 | 258 | 18.49 | 2 | 0 | 2 | 11 | 41 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 59.09% | 132 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | Daniil But#0 · LW | Checkers (FLA) | LW | 6 | 2 | 1 | 3 | 1 | 0 | 0 | 3 | 10 | 21 | 6 | 4 | 9.52% | 1 | 96 | 16.09 | 0 | 0 | 0 | 5 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Reid Schaefer#0 · LW | Checkers (FLA) | LW | 14 | 2 | 0 | 2 | 0 | 2 | 0 | 8 | 10 | 18 | 4 | 15 | 11.11% | 1 | 112 | 8.05 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 17 | Adam Jiricek#0 · D | Checkers (FLA) | D | 14 | 0 | 1 | 1 | -5 | 0 | 0 | 5 | 11 | 2 | 0 | 2 | 0% | 13 | 231 | 16.52 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 18 | Ethan Procyszyn#0 · C | Checkers (FLA) | C | 8 | 0 | 1 | 1 | -1 | 2 | 0 | 1 | 5 | 5 | 0 | 2 | 0% | 0 | 44 | 5.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 19 | Ozzy Wiesblatt#0 · RW | Checkers (FLA) | RW | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0% | 0 | 3 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 20 | David Edstrom#0 · C | Checkers (FLA) | C | 14 | 0 | 0 | 0 | -5 | 4 | 0 | 4 | 4 | 4 | 4 | 4 | 0% | 2 | 58 | 4.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.75% | 71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 21 | Chase Yoder#0 · LW | Checkers (FLA) | LW | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 1 | 0% | 0 | 50 | 3.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Team Total or Average | 266 | 44 | 78 | 122 | -15 | 126 | 10 | 323 | 451 | 148 | 299 | 9.76% | 106 | 15.50 | 12 | 21 | 33 | 465 | 0 | 0 | 0 | 392 | 6 | 1 | 48.46% | 1203 | 0 | 0 | 1 | 0 | 0.59 | 2 | 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 | Michael Hrabal#0 · Goalie | Checkers (FLA) | 14 | 8 | 6 | 0 | 0.891 | 3.35 | 788 | 2 | 1 | 44 | 402 | 0 | 0 | 1 | 1.000 | 6 | 14 | 0 | 1 | 0 | 0 |
| 2 | Niklas Kokko#0 · Goalie | Checkers (FLA) | 2 | 0 | 0 | 0 | 1.000 | 0 | 61 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 |
| Team Total or Average | 16 | 8 | 6 | 0 | 0.897 | 3.11 | 849 | 2 | 1 | 44 | 426 | 0 | 0 | 1 | 1.000 | 6 | 14 | 14 | 1 | 0 | 0 |
| 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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Jiricek | Checkers (FLA) | D | 20 | 2006-01-28 | Yes | 178 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 941,667$ | 748,505$ | 941,667$ | 748,505$ | 0$ | 0$ | No | 941,667$ | 941,667$ | ||||||||
| Caedan Bankier | Checkers (FLA) | C | 23 | 2003-01-26 | Yes | 192 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 850,000$ | 675,641$ | 850,000$ | 675,641$ | 0$ | 0$ | No | 850,000$ | |||||||||
| Carter Bear | Checkers (FLA) | LW | 20 | 2006-11-04 | Yes | 186 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 974,167$ | 774,338$ | 974,167$ | 774,338$ | 0$ | 0$ | No | 974,167$ | 974,167$ | Link | |||||||
| Chase Yoder | Checkers (FLA) | LW | 24 | 2002-05-28 | Yes | 201 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 800,000$ | 635,897$ | 800,000$ | 635,897$ | 0$ | 0$ | No | ||||||||||
| Colton Dach | Checkers (FLA) | C/LW | 23 | 2003-01-04 | No | 196 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 794,872$ | 1,000,000$ | 794,872$ | 0$ | 0$ | No | 1,000,000$ | |||||||||
| Daniil But | Checkers (FLA) | LW | 21 | 2005-02-15 | Yes | 203 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 972,500$ | 773,013$ | 972,500$ | 773,013$ | 0$ | 0$ | No | 972,500$ | |||||||||
| David Edstrom | Checkers (FLA) | C | 21 | 2005-02-18 | Yes | 195 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 909,166$ | 722,670$ | 909,166$ | 722,670$ | 0$ | 0$ | No | 909,166$ | |||||||||
| Dylan Peterson | Checkers (FLA) | C/LW/RW | 24 | 2002-01-08 | Yes | 203 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,000$ | 675,641$ | 850,000$ | 675,641$ | 0$ | 0$ | No | ||||||||||
| Ethan Procyszyn | Checkers (FLA) | C | 20 | 2006-07-11 | Yes | 189 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,040,000$ | 826,667$ | 1,040,000$ | 826,667$ | 0$ | 0$ | No | 1,040,000$ | 1,040,000$ | Link | |||||||
| Filip Bystedt | Checkers (FLA) | C/LW | 22 | 2004-02-04 | Yes | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 918,333$ | 729,957$ | 918,333$ | 729,957$ | 0$ | 0$ | No | NHL Link | |||||||||
| Francesco Pinelli | Checkers (FLA) | C | 23 | 2003-04-11 | Yes | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 975,000$ | 775,000$ | 975,000$ | 775,000$ | 0$ | 0$ | No | ||||||||||
| Gabriel D'Aigle | Checkers (FLA) | G | 19 | 2006-11-21 | Yes | 211 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 995,000$ | 790,897$ | 995,000$ | 790,897$ | 0$ | 0$ | No | 995,000$ | 995,000$ | Link | |||||||
| Helge Grans | Checkers (FLA) | D | 24 | 2002-05-10 | Yes | 205 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 787,500$ | 625,962$ | 787,500$ | 625,962$ | 0$ | 0$ | No | NHL Link | |||||||||
| Isak Rosen | Checkers (FLA) | RW | 23 | 2003-03-15 | Yes | 156 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 794,872$ | 1,000,000$ | 794,872$ | 0$ | 0$ | No | NHL Link | |||||||||
| Jakub Brabenec | Checkers (FLA) | C | 23 | 2003-09-11 | Yes | 185 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 950,000$ | 755,128$ | 950,000$ | 755,128$ | 0$ | 0$ | No | 950,000$ | |||||||||
| Joshua Mahura | Checkers (FLA) | D | 28 | 1998-05-05 | No | 185 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 1,250,000$ | 993,590$ | 1,250,000$ | 993,590$ | 0$ | 0$ | No | 1,250,000$ | NHL Link | ||||||||
| Landon Slaggert | Checkers (FLA) | LW | 24 | 2002-06-25 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 800,000$ | 635,897$ | 800,000$ | 635,897$ | 0$ | 0$ | No | ||||||||||
| Leon Muggli | Checkers (FLA) | D | 20 | 2006-07-09 | Yes | 165 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 932,500$ | 741,218$ | 932,500$ | 741,218$ | 0$ | 0$ | No | 932,500$ | 932,500$ | ||||||||
| Luca Marrelli | Checkers (FLA) | D | 21 | 2005-10-04 | Yes | 181 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 931,944$ | 740,776$ | 931,944$ | 740,776$ | 0$ | 0$ | No | 931,944$ | 931,944$ | ||||||||
| Marek Vanacker | Checkers (FLA) | LW | 20 | 2006-04-12 | Yes | 174 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 941,667$ | 748,505$ | 941,667$ | 748,505$ | 0$ | 0$ | No | 941,667$ | 941,667$ | Link | |||||||
| Michael Hrabal | Checkers (FLA) | G | 21 | 2005-01-20 | Yes | 209 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 1,075,000$ | 854,487$ | 1,075,000$ | 854,487$ | 0$ | 0$ | No | 1,075,000$ | 1,075,000$ | Link | |||||||
| Nikita Okhotyuk | Checkers (FLA) | D | 25 | 2000-12-04 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 800,000$ | 635,897$ | 800,000$ | 635,897$ | 0$ | 0$ | No | NHL Link | |||||||||
| Niklas Kokko | Checkers (FLA) | G | 22 | 2004-03-14 | Yes | 190 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 891,666$ | 708,760$ | 891,666$ | 708,760$ | 0$ | 0$ | No | ||||||||||
| Noel Nordh | Checkers (FLA) | LW | 21 | 2005-01-25 | Yes | 202 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 935,000$ | 743,205$ | 935,000$ | 743,205$ | 0$ | 0$ | No | 935,000$ | |||||||||
| Ozzy Wiesblatt | Checkers (FLA) | RW | 24 | 2002-03-09 | Yes | 183 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 800,000$ | 635,897$ | 800,000$ | 635,897$ | 0$ | 0$ | No | NHL Link | |||||||||
| Peyton Kettles | Checkers (FLA) | D | 19 | 2007-09-01 | Yes | 193 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 958,333$ | 761,752$ | 958,333$ | 761,752$ | 0$ | 0$ | No | 958,333$ | 958,333$ | Link | |||||||
| Reid Schaefer | Checkers (FLA) | LW | 23 | 2003-09-21 | Yes | 226 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 886,666$ | 704,786$ | 886,666$ | 704,786$ | 0$ | 0$ | No | ||||||||||
| Taige Harding | Checkers (FLA) | D | 24 | 2002-01-03 | Yes | 237 Lbs | 6 ft7 | No | No | No | 1 | Pro & Farm | 880,000$ | 699,487$ | 880,000$ | 699,487$ | 0$ | 0$ | No | ||||||||||
| Tinus Luc Koblar | Checkers (FLA) | C | 19 | 2007-07-21 | Yes | 198 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 1,028,333$ | 817,393$ | 800,000$ | 635,897$ | 0$ | 0$ | No | 1,028,333$ | 1,028,333$ | ||||||||
| Tye Felhaber | Checkers (FLA) | LW | 28 | 1998-08-05 | No | 187 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 800,000$ | 635,897$ | 800,000$ | 635,897$ | 0$ | 0$ | No | NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 30 | 22.30 | 194 Lbs | 6 ft2 | 1.90 | 929,148$ |
| 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 14 | 14 | 16 | 2 | 43 | 156 | 140 | 145 | 16 | 76 | 24 | 16 | 45 | 2 | 1 | 50.00% | 8 | 0 | 100.00% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 40.0% | 11.6% | 92.1% | 103.7 | LUCKY | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 14 | 14 | 16 | 2 | 16 | 156 | 140 | 145 | 16 | 32 | 9 | 8 | 24 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 44.4% | 25.0% | 81.3% | 106.3 | FUN | |
| 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 14 | 14 | 16 | 2 | 61 | 156 | 140 | 145 | 16 | 62 | 17 | 36 | 47 | 6 | 1 | 16.67% | 12 | 1 | 91.67% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 22.2% | 4.9% | 87.1% | 92.0 | Unlucky | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 14 | 14 | 16 | 2 | 60 | 156 | 140 | 145 | 16 | 53 | 10 | 18 | 49 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 50.0% | 10.0% | 88.7% | 98.7 | FUN | |
| 5 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 6 | 1.000 | 12 | 20 | 32 | 0 | 1 | 14 | 14 | 16 | 2 | 114 | 156 | 140 | 145 | 16 | 68 | 13 | 18 | 61 | 14 | 3 | 21.43% | 7 | 1 | 85.71% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 81.8% | 10.5% | 95.6% | 106.1 | LUCKY | |
| 6 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 14 | 14 | 16 | 2 | 86 | 156 | 140 | 145 | 16 | 69 | 14 | 8 | 42 | 13 | 2 | 15.38% | 4 | 2 | 50.00% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 58.3% | 10.5% | 89.9% | 100.3 | FUN | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 14 | 14 | 16 | 2 | 71 | 156 | 140 | 145 | 16 | 67 | 19 | 24 | 55 | 10 | 4 | 40.00% | 12 | 4 | 66.67% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 37.5% | 9.9% | 86.6% | 96.4 | FUN | |
| Total | 14 | 6 | 6 | 0 | 0 | 0 | 2 | 0 | 46 | 45 | 1 | 16 | 0.571 | 46 | 78 | 124 | 1 | 1 | 14 | 14 | 16 | 2 | 451 | 156 | 140 | 145 | 16 | 427 | 106 | 128 | 323 | 53 | 12 | 22.64% | 55 | 10 | 81.82% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 49.3% | 10.2% | 89.5% | 99.7 | FUN | |
| _Since Last GM Reset | 14 | 6 | 6 | 0 | 0 | 0 | 2 | 0 | 46 | 45 | 1 | 16 | 0.571 | 46 | 78 | 124 | 1 | 1 | 14 | 14 | 16 | 2 | 451 | 156 | 140 | 145 | 16 | 427 | 106 | 128 | 323 | 53 | 12 | 22.64% | 55 | 10 | 81.82% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 49.3% | 10.2% | 89.5% | 99.7 | FUN | |
| _Vs Conference | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 34 | 30 | 4 | 12 | 0.600 | 34 | 60 | 94 | 1 | 1 | 14 | 14 | 16 | 2 | 304 | 156 | 140 | 145 | 16 | 296 | 75 | 84 | 234 | 34 | 9 | 26.47% | 39 | 7 | 82.05% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 52.1% | 11.2% | 89.9% | 101.0 | FUN | |
| _Vs Division | 1 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 12 | 6.000 | 4 | 8 | 12 | 1 | 0 | 14 | 14 | 16 | 2 | 16 | 156 | 140 | 145 | 16 | 32 | 9 | 8 | 24 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% | 322 | 213 | 339 | 112 | 188 | 92 | 44.4% | 25.0% | 81.3% | 106.3 | FUN |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 14 | 16 | L1 | 46 | 78 | 124 | 451 | 427 | 106 | 128 | 323 | 1 | 1 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 14 | 6 | 6 | 0 | 0 | 2 | 0 | 46 | 45 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 6 | 4 | 2 | 0 | 0 | 0 | 0 | 21 | 16 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 8 | 2 | 4 | 0 | 0 | 2 | 0 | 25 | 29 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 6 | 4 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 53 | 12 | 22.64% | 55 | 10 | 81.82% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 156 | 140 | 145 | 16 | 14 | 14 | 16 | 2 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 232 | 481 | 48.23% | 231 | 478 | 48.33% | 120 | 223 | 53.81% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 322 | 213 | 339 | 112 | 188 | 92 |
| Date | Visitor | Score | Home | Result / Arena |
|---|---|---|---|---|
| Fri, Oct 2 | Checkers |
32 | FINAL | |
| Sat, Oct 3 | Checkers |
24 | FINAL | |
| Fri, Oct 9 | Checkers |
46 | FINAL | |
| Sat, Oct 10 | Checkers |
42 | FINAL | |
| Thu, Oct 15 | Wolf Pack |
34 | FINAL | |
| Fri, Oct 16 | Wolf Pack |
63 | FINAL | |
| Thu, Oct 22 | Thunderbirds |
03 | FINAL | |
| Fri, Oct 23 | Thunderbirds |
15 | FINAL | |
| Mon, Oct 26 | Checkers |
14 | FINAL | |
| Tue, Oct 27 | Checkers |
24 | FINAL | |
| Thu, Oct 29 | Checkers |
54 | FINAL/SO | |
| Sat, Oct 31 | Checkers |
43 | FINAL/SO | |
| Thu, Nov 5 | Penguins |
24 | FINAL | |
| Fri, Nov 6 | Penguins |
42 | FINAL | |
| Mon, Nov 9 | Bruins |
Charlotte | ||
| Tue, Nov 10 | Bruins |
Charlotte | ||
| Fri, Nov 13 | Checkers |
Lehigh Valley | ||
| Sat, Nov 14 | Checkers |
Hershey | ||
| Mon, Nov 16 | Checkers |
Hartford | ||
| Thu, Nov 19 | Checkers |
Springfield | ||
| Fri, Nov 20 | Checkers |
Providence | ||
| Thu, Nov 26 | Bears |
Charlotte | ||
| Fri, Nov 27 | Bears |
Charlotte | ||
| Thu, Dec 3 | Eagles |
Charlotte | ||
| Fri, Dec 4 | Eagles |
Charlotte | ||
| Mon, Dec 7 | Penguins |
Charlotte | ||
| Tue, Dec 8 | Penguins |
Charlotte | ||
| Fri, Dec 11 | Checkers |
Lehigh Valley | ||
| Sat, Dec 12 | Checkers |
Hershey | ||
| Mon, Dec 14 | Checkers |
Wilkes-Barre/Scranton | ||
| Fri, Dec 18 | Thunderbirds |
Charlotte | ||
| Sat, Dec 19 | Thunderbirds |
Charlotte | ||
| Sun, Dec 27 | Checkers |
Cleveland | ||
| Mon, Dec 28 | Checkers |
Cleveland | ||
| Thu, Dec 31 | Checkers |
Toronto | ||
| Fri, Jan 1 | Checkers |
Toronto | ||
| Thu, Jan 7 | Phantoms |
Charlotte | ||
| Fri, Jan 8 | Phantoms |
Charlotte | ||
| Fri, Jan 15 | Monsters |
Charlotte | ||
| Sat, Jan 16 | Monsters |
Charlotte | ||
| Tue, Jan 19 | Checkers |
Rochester | ||
| Thu, Jan 21 | Checkers |
Rochester | ||
| Fri, Jan 22 | Checkers |
Utica | ||
| Fri, Jan 29 | Comets |
Charlotte | ||
| Sat, Jan 30 | Comets |
Charlotte | ||
| Thu, Feb 4 | Bruins |
Charlotte | ||
| Fri, Feb 5 | Bruins |
Charlotte | ||
| Thu, Feb 11 | Checkers |
Lehigh Valley | ||
| Fri, Feb 12 | Checkers |
Wilkes-Barre/Scranton | ||
| Mon, Feb 15 | Wild |
Charlotte | ||
| Tue, Feb 16 | Wild |
Charlotte | ||
| Fri, Feb 19 | Marlies |
Charlotte | ||
| Sat, Feb 20 | Marlies |
Charlotte | ||
| Thu, Feb 25 | Checkers |
Hartford | ||
| Fri, Feb 26 | Checkers |
Hartford | ||
| Fri, Mar 5 | Bears |
Charlotte | ||
| Sat, Mar 6 | Bears |
Charlotte | ||
| Tue, Mar 9 | Checkers |
Springfield | ||
| Thu, Mar 11 | Checkers |
Springfield | ||
| Fri, Mar 12 | Checkers |
Hartford | ||
| Tue, Mar 16 | Checkers |
Utica | ||
| Thu, Mar 18 | Checkers |
Providence | ||
| Fri, Mar 19 | Checkers |
Providence | ||
| Thu, Mar 25 | Wolf Pack |
Charlotte | ||
| Fri, Mar 26 | Wolf Pack |
Charlotte | ||
| Mon, Mar 29 | Phantoms |
Charlotte | ||
| Tue, Mar 30 | Phantoms |
Charlotte | ||
| Fri, Apr 2 | Americans |
Charlotte | ||
| Sat, Apr 3 | Americans |
Charlotte | ||
| Tue, Apr 6 | Checkers |
Wilkes-Barre/Scranton | ||
| Thu, Apr 8 | Checkers |
Lehigh Valley | ||
| Fri, Apr 9 | Checkers |
Wilkes-Barre/Scranton |
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Arena Capacity | 2000 | 1000 |
| Ticket Price | 35 | 0 |
| Attendance | 0 | 0 |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 30 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 661,706$ | 2,612,444$ | 2,612,444$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 13,397$ | 559,146$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 155 | 15,961$ | 2,473,955$ |
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2026 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Total Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Total Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||