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Full Scoreboard »» |
| Charlotte Checkers 13-23-4, 30pts · 16th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daniil Gushchin | 0 | LW | 97.00 | 69 | 39 | 77 | 65 | 69 | 70 | 82 | 65 | 46 | 60 | 68 | 61 | 64 | 59 | 57 | 0 | 31 | 73 | 23 | 900,000$/3yrs | |||
Ryan Suzuki | 0 | C | 100.00 | 63 | 39 | 86 | 62 | 75 | 68 | 88 | 65 | 71 | 68 | 55 | 63 | 62 | 61 | 60 | 0 | 17 | 72 | 24 | 800,000$/1yrs | |||
Tye Felhaber | 43 | LW | 100.00 | 81 | 41 | 56 | 59 | 71 | 68 | 88 | 63 | 71 | 59 | 60 | 66 | 60 | 66 | 62 | 0 | 32 | 71 | 27 | 800,000$/2yrs | |||
Gage Goncalves | 0 | C | 100.00 | 70 | 35 | 86 | 60 | 71 | 76 | 85 | 59 | 59 | 64 | 62 | 55 | 60 | 66 | 65 | 0 | 29 | 71 | 24 | 900,000$/2yrs | |||
Reid Schaefer (R) | 0 | LW | 100.00 | 85 | 51 | 75 | 56 | 92 | 71 | 68 | 56 | 55 | 50 | 68 | 68 | 62 | 62 | 59 | 0 | 28 | 70 | 22 | 886,666$/2yrs | |||
Landon Slaggert | 0 | LW | 100.00 | 69 | 38 | 73 | 59 | 71 | 74 | 75 | 56 | 55 | 59 | 58 | 61 | 57 | 64 | 61 | 0 | 31 | 69 | 23 | 800,000$/2yrs | |||
Dylan Peterson (R) | 0 | C/LW/RW | 100.00 | 86 | 43 | 50 | 58 | 83 | 65 | 82 | 59 | 67 | 56 | 59 | 62 | 57 | 59 | 54 | 0 | 31 | 69 | 24 | 850,000$/2yrs | |||
Ozzy Wiesblatt (R) | 0 | RW | 100.00 | 84 | 49 | 65 | 55 | 69 | 73 | 71 | 55 | 55 | 60 | 55 | 61 | 55 | 64 | 61 | 0 | 20 | 68 | 23 | 800,000$/2yrs | |||
Brooklyn Kalmikov | 0 | LW | 100.00 | 63 | 38 | 89 | 64 | 72 | 69 | 60 | 60 | 47 | 55 | 55 | 61 | 63 | 59 | 58 | 0 | 31 | 68 | 24 | 800,000$/2yrs | |||
Francesco Pinelli (R) | 0 | C | 97.00 | 68 | 39 | 78 | 58 | 74 | 64 | 88 | 58 | 65 | 57 | 57 | 61 | 57 | 57 | 55 | 0 | 31 | 68 | 22 | 845,000$/1yrs | |||
Blade Jenkins | 0 | LW | 100.00 | 63 | 39 | 86 | 54 | 78 | 63 | 77 | 61 | 45 | 56 | 52 | 65 | 54 | 63 | 61 | 0 | 32 | 67 | 25 | 800,000$/2yrs | |||
Jakub Brabenec (R) | 0 | C | 100.00 | 59 | 38 | 92 | 57 | 72 | 63 | 86 | 58 | 64 | 57 | 55 | 61 | 56 | 57 | 57 | 0 | 28 | 67 | 22 | 828,333$/1yrs | |||
Caedan Bankier (R) | 0 | C | 100.00 | 65 | 39 | 82 | 57 | 77 | 63 | 88 | 58 | 67 | 55 | 55 | 61 | 55 | 57 | 56 | 0 | 31 | 67 | 22 | 850,000$/3yrs | |||
Yan Kuznetsov | 0 | D | 100.00 | 74 | 34 | 79 | 56 | 85 | 88 | 84 | 58 | 30 | 62 | 62 | 73 | 60 | 65 | 63 | 0 | 24 | 74 | 23 | 850,000$/2yrs | |||
Emil Andrae | 0 | D | 99.00 | 68 | 32 | 87 | 59 | 70 | 84 | 80 | 54 | 30 | 64 | 55 | 58 | 54 | 64 | 63 | 0 | 25 | 71 | 23 | 903,333$/1yrs | |||
Ben Harpur | 22 | D | 98.00 | 88 | 44 | 50 | 49 | 95 | 64 | 72 | 48 | 30 | 54 | 51 | 70 | 53 | 71 | 66 | 0 | 29 | 68 | 30 | 800,000$/2yrs | |||
Connor Mayer | 0 | D | 99.00 | 67 | 39 | 79 | 52 | 71 | 66 | 71 | 51 | 30 | 56 | 57 | 66 | 57 | 64 | 62 | 0 | 31 | 68 | 26 | 800,000$/2yrs | |||
Dawson Barteaux (R) | 0 | D | 100.00 | 62 | 39 | 87 | 50 | 75 | 63 | 76 | 49 | 30 | 56 | 50 | 65 | 53 | 63 | 61 | 0 | 29 | 66 | 25 | 800,000$/2yrs | |||
Helge Grans (R) | 0 | D | 100.00 | 67 | 40 | 79 | 50 | 83 | 63 | 87 | 50 | 30 | 56 | 54 | 63 | 55 | 59 | 57 | 0 | 27 | 66 | 23 | 787,500$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Isak Rosen (R) | 0 | RW | 100.00 | 60 | 31 | 99 | 64 | 62 | 75 | 69 | 59 | 65 | 65 | 64 | 57 | 62 | 63 | 62 | 0 | 19 | 72 | 22 | 894,167$/1yrs | |||
Daniil But (R) | 0 | LW | 100.00 | 63 | 40 | 85 | 66 | 84 | 68 | 70 | 61 | 36 | 63 | 64 | 58 | 64 | 54 | 53 | 0 | 35 | 72 | 20 | ||||
Adam Brooks | 0 | C | 100.00 | 64 | 38 | 85 | 55 | 70 | 66 | 83 | 65 | 70 | 57 | 56 | 68 | 56 | 70 | 68 | 0 | 20 | 70 | 29 | 800,000$/1yrs | |||
Cameron Berg (R) | 0 | C | 100.00 | 66 | 39 | 81 | 58 | 74 | 64 | 71 | 59 | 68 | 54 | 59 | 62 | 57 | 59 | 57 | 0 | 35 | 68 | 23 | ||||
Adam Sykora (R) | 0 | LW/RW | 100.00 | 59 | 37 | 93 | 58 | 66 | 63 | 89 | 57 | 62 | 57 | 55 | 60 | 56 | 56 | 55 | 0 | 19 | 67 | 21 | 800,000$/2yrs | |||
Noel Nordh (R) | 0 | LW | 100.00 | 61 | 39 | 88 | 58 | 80 | 63 | 71 | 56 | 45 | 58 | 54 | 59 | 56 | 54 | 53 | 0 | 35 | 66 | 20 | ||||
David Edstrom (R) | 0 | C | 100.00 | 65 | 39 | 83 | 58 | 79 | 62 | 71 | 56 | 65 | 54 | 57 | 59 | 55 | 54 | 52 | 0 | 35 | 66 | 20 | ||||
Blake Biondi (R) | 0 | C | 100.00 | 61 | 39 | 90 | 53 | 78 | 61 | 71 | 60 | 66 | 50 | 53 | 63 | 51 | 59 | 58 | 0 | 35 | 65 | 23 | ||||
Albin Grewe (R) | 0 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 20 | 9 | 24 | 800,000$/3yrs | |||
Taige Harding (R) | 0 | D | 100.00 | 84 | 44 | 51 | 50 | 98 | 62 | 71 | 49 | 30 | 56 | 50 | 63 | 53 | 59 | 54 | 0 | 35 | 66 | 24 | ||||
Victor Mete | 0 | D | 100.00 | 65 | 37 | 82 | 48 | 68 | 63 | 75 | 46 | 30 | 53 | 46 | 65 | 49 | 66 | 64 | 0 | 20 | 65 | 27 | 850,000$/2yrs | |||
Case McCarthy (R) | 0 | D | 100.00 | 57 | 38 | 95 | 46 | 78 | 61 | 69 | 46 | 30 | 52 | 50 | 64 | 51 | 61 | 60 | 0 | 19 | 64 | 25 | 800,000$/2yrs | |||
Adam Jiricek (R) | 0 | D | 100.00 | 58 | 38 | 96 | 53 | 74 | 57 | 74 | 48 | 30 | 53 | 50 | 52 | 52 | 53 | 53 | 0 | 19 | 63 | 19 | 975,000$/2yrs | |||
Axel Andersson | 58 | D | 100.00 | 64 | 38 | 85 | 44 | 70 | 59 | 71 | 43 | 30 | 48 | 46 | 65 | 47 | 62 | 61 | 0 | 20 | 62 | 25 | 800,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Niklas Kokko | 0 | 100.00 | 73 | 76 | 70 | 79 | 69 | 76 | 71 | 73 | 76 | 78 | 73 | 57 | 57 | 0 | 21 | 77 | 21 | 891,666$/2yrs |
Keith Petruzzelli | 0 | 97.00 | 66 | 61 | 66 | 78 | 63 | 74 | 68 | 66 | 74 | 72 | 69 | 69 | 67 | 0 | 24 | 73 | 26 | 850,000$/1yrs |
| Scratches | ||||||||||||||||||||
Dylan Wells | 0 | 100.00 | 67 | 55 | 66 | 74 | 66 | 72 | 68 | 67 | 72 | 71 | 69 | 65 | 70 | 0 | 20 | 72 | 28 | 775,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Gruden | 68 | 70 | 76 | 68 | 78 | 75 | 58 | USA | 55 | 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Dylan Peterson | C/LW/RW | 40 | 11 | 20 | 31 | 6 | 22 | 0 | 121 | 126 | 31 | 97 | 8.73% | 7 | 17.06 | 3 | 2 | 5 | 110 | 0 | 0 | 0 | 0 | 1 | 2 | 46.22% | 649 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | ||
| 2 | Daniil Gushchin | LW | 40 | 10 | 18 | 28 | -11 | 10 | 0 | 31 | 128 | 44 | 101 | 7.81% | 13 | 21.45 | 2 | 9 | 11 | 118 | 2 | 0 | 2 | 149 | 0 | 0 | 42.31% | 78 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
| 3 | Reid Schaefer | LW | 40 | 12 | 12 | 24 | 10 | 11 | 5 | 42 | 113 | 25 | 88 | 10.62% | 4 | 17.11 | 0 | 2 | 2 | 109 | 0 | 0 | 0 | 0 | 2 | 1 | 52.08% | 48 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 4 | Landon Slaggert | LW | 40 | 9 | 14 | 23 | -3 | 4 | 0 | 11 | 90 | 37 | 81 | 10.00% | 5 | 16.77 | 0 | 4 | 4 | 111 | 0 | 0 | 0 | 0 | 2 | 0 | 43.24% | 37 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
| 5 | Gage Goncalves | C | 28 | 10 | 11 | 21 | -9 | 8 | 0 | 50 | 103 | 32 | 52 | 9.71% | 3 | 20.49 | 2 | 4 | 6 | 67 | 0 | 0 | 0 | 3 | 1 | 0 | 51.16% | 774 | 0 | 0 | 0 | 1 | 0.73 | 0 | 1 | ||
| 6 | Connor Mayer | D | 40 | 3 | 16 | 19 | -4 | 30 | 0 | 74 | 50 | 15 | 42 | 6.00% | 55 | 22.74 | 2 | 2 | 4 | 113 | 0 | 0 | 0 | 106 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
| 7 | Ben Harpur | D | 37 | 4 | 12 | 16 | 5 | 62 | 0 | 136 | 39 | 13 | 34 | 10.26% | 52 | 21.09 | 2 | 2 | 4 | 100 | 0 | 0 | 0 | 76 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 8 | Yan Kuznetsov | D | 40 | 6 | 9 | 15 | 6 | 30 | 10 | 25 | 23 | 4 | 16 | 26.09% | 35 | 16.31 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 9 | Francesco Pinelli | C | 40 | 5 | 9 | 14 | -9 | 2 | 0 | 59 | 76 | 15 | 58 | 6.58% | 8 | 21.06 | 1 | 1 | 2 | 100 | 0 | 2 | 2 | 121 | 0 | 0 | 43.77% | 313 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 10 | Tye Felhaber | LW | 37 | 5 | 7 | 12 | -17 | 46 | 0 | 90 | 89 | 36 | 67 | 5.62% | 9 | 16.44 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 52 | 1 | 2 | 43.59% | 195 | 0 | 0 | 0 | 1 | 0.39 | 0 | 0 | ||
| 11 | Ryan Suzuki | C | 28 | 6 | 6 | 12 | -4 | 4 | 0 | 2 | 48 | 13 | 61 | 12.50% | 6 | 15.18 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 27 | 1 | 1 | 55.25% | 505 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 12 | Emil Andrae | D | 28 | 2 | 9 | 11 | -19 | 34 | 0 | 56 | 36 | 10 | 14 | 5.56% | 24 | 22.47 | 2 | 1 | 3 | 80 | 0 | 1 | 1 | 86 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 13 | Dawson Barteaux | D | 37 | 1 | 9 | 10 | -9 | 8 | 0 | 32 | 17 | 6 | 15 | 5.88% | 48 | 15.17 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 14 | Caedan Bankier | C | 40 | 3 | 6 | 9 | 9 | 8 | 0 | 23 | 65 | 20 | 44 | 4.62% | 8 | 16.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0 | 1 | 48.15% | 135 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
| 15 | Helge Grans | D | 40 | 5 | 3 | 8 | 6 | 33 | 5 | 54 | 34 | 12 | 16 | 14.71% | 46 | 19.17 | 2 | 1 | 3 | 96 | 0 | 1 | 1 | 102 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
| 16 | Brooklyn Kalmikov | LW | 40 | 2 | 4 | 6 | -3 | 4 | 0 | 10 | 38 | 12 | 22 | 5.26% | 1 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 40.87% | 230 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 17 | Case McCarthy | D | 3 | 0 | 2 | 2 | -1 | 0 | 0 | 3 | 3 | 0 | 1 | 0.00% | 9 | 18.95 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 18 | Victor Mete | D | 14 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 4 | 0 | 1 | 0.00% | 5 | 3.16 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 19 | Blade Jenkins | LW | 37 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 2 | 0.72 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
| 20 | Ozzy Wiesblatt | RW | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 0.44 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Adam Sykora | LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Isak Rosen | RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 23 | Jakub Brabenec | C | 37 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 9 | 1 | 8 | 0.00% | 0 | 2.00 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 0 | 0 | 52.63% | 19 | 0 | 0 | 0 | 0 | 0.00 | 1 | 1 | ||
| 24 | Adam Jiricek | D | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 0 | 1 | 0 | 0.00% | 10 | 17.83 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 712 | 94 | 169 | 263 | -51 | 316 | 20 | 826 | 1093 | 327 | 818 | 8.60% | 350 | 15.31 | 17 | 31 | 48 | 1058 | 2 | 4 | 6 | 930 | 10 | 8 | 48.27% | 2983 | 0 | 0 | 0 | 2 | 0.48 | 1 | 2 |
| 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 | Niklas Kokko | 30 | 9 | 16 | 3 | 0.905 | 3.20 | 1634 | 2 | 0 | 87 | 917 | 0 | 0 | 0 | 0.600 | 5 | 29 | 11 | 3 | 1 | 1 | |
| 2 | Keith Petruzzelli | 10 | 3 | 5 | 0 | 0.912 | 3.05 | 512 | 6 | 0 | 26 | 294 | 0 | 0 | 0 | 0.000 | 0 | 8 | 17 | 0 | 1 | 0 | |
| Team Total or Average | 40 | 12 | 21 | 3 | 0.907 | 3.16 | 2146 | 8 | 0 | 113 | 1211 | 0 | 0 | 0 | 0.600 | 5 | 37 | 28 | 3 | 2 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Brooks | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
| Adam Jiricek | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Adam Sykora | LW/RW | 21 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
| Albin Grewe | LW | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
| Axel Andersson | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Ben Harpur | D | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Blade Jenkins | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Blake Biondi | C | 23 | 0$ | RFA | |||||||
| Brooklyn Kalmikov | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Caedan Bankier | C | 22 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
| Cameron Berg | C | 23 | 0$ | RFA | |||||||
| Case McCarthy | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Connor Mayer | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Daniil But | LW | 20 | 0$ | RFA | |||||||
| Daniil Gushchin | LW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| David Edstrom | C | 20 | 0$ | RFA | |||||||
| Dawson Barteaux | D | 25 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Dylan Peterson | C/LW/RW | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Dylan Wells | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
| Dylan Wells | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
| Emil Andrae | D | 23 | 903,333$ | 903,333$ | RFA | ||||||
| Francesco Pinelli | C | 22 | 845,000$ | 845,000$ | RFA | ||||||
| Gage Goncalves | C | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Helge Grans | D | 23 | 787,500$ | 787,500$ | 787,500$ | ||||||
| Isak Rosen | RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
| Jakub Brabenec | C | 22 | 828,333$ | 828,333$ | RFA | ||||||
| Keith Petruzzelli | G | 26 | 850,000$ | 850,000$ | |||||||
| Landon Slaggert | LW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Niklas Kokko | G | 21 | 891,666$ | 891,666$ | 891,666$ | RFA | |||||
| Noel Nordh | LW | 20 | 0$ | RFA | |||||||
| Ozzy Wiesblatt | RW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Reid Schaefer | LW | 22 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
| Ryan Suzuki | C | 24 | 800,000$ | 800,000$ | |||||||
| Taige Harding | D | 24 | 0$ | ||||||||
| Tye Felhaber | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Victor Mete | D | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Yan Kuznetsov | D | 23 | 850,000$ | 850,000$ | 850,000$ |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 40 | 30 | 33 | 4 | 28 | 381 | 388 | 415 | 14 | 33 | 9 | 10 | 20 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 0.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 40 | 30 | 33 | 4 | 15 | 381 | 388 | 415 | 14 | 66 | 12 | 8 | 17 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 50.0% | 20.0% | 93.9% | 113.9 | LUCKY | |
| 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 40 | 30 | 33 | 4 | 48 | 381 | 388 | 415 | 14 | 72 | 16 | 25 | 39 | 1 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 28.6% | 4.2% | 91.7% | 95.8 | DULL | |
| 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0.667 | 7 | 13 | 20 | 0 | 0 | 40 | 30 | 33 | 4 | 77 | 381 | 388 | 415 | 14 | 93 | 32 | 35 | 69 | 8 | 2 | 25.00% | 13 | 2 | 84.62% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 62.5% | 9.1% | 94.6% | 103.7 | LUCKY | |
| 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 40 | 30 | 33 | 4 | 61 | 381 | 388 | 415 | 14 | 66 | 15 | 6 | 50 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 50.0% | 13.1% | 90.9% | 104.0 | FUN | |
| 6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 40 | 30 | 33 | 4 | 64 | 381 | 388 | 415 | 14 | 69 | 16 | 16 | 44 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 30.0% | 4.7% | 88.4% | 93.1 | Unlucky | |
| 7 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 8 | -6 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 40 | 30 | 33 | 4 | 60 | 381 | 388 | 415 | 14 | 77 | 17 | 6 | 40 | 7 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 22.2% | 3.3% | 89.6% | 92.9 | Unlucky | |
| 8 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 40 | 30 | 33 | 4 | 52 | 381 | 388 | 415 | 14 | 63 | 12 | 19 | 43 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 50.0% | 7.7% | 90.5% | 98.2 | Unlucky | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 40 | 30 | 33 | 4 | 23 | 381 | 388 | 415 | 14 | 28 | 12 | 10 | 28 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 33.3% | 4.3% | 92.9% | 97.2 | DULL | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 40 | 30 | 33 | 4 | 31 | 381 | 388 | 415 | 14 | 46 | 8 | 12 | 18 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 42.9% | 9.7% | 91.3% | 101.0 | LUCKY | |
| 11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 40 | 30 | 33 | 4 | 36 | 381 | 388 | 415 | 14 | 42 | 6 | 16 | 16 | 3 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 83.3% | 13.9% | 90.5% | 104.4 | FUN | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 40 | 30 | 33 | 4 | 35 | 381 | 388 | 415 | 14 | 32 | 6 | 4 | 30 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 0.0% | 2.9% | 90.6% | 93.5 | Unlucky | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 40 | 30 | 33 | 4 | 40 | 381 | 388 | 415 | 14 | 36 | 12 | 2 | 16 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 33.3% | 7.5% | 86.1% | 93.6 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 40 | 30 | 33 | 4 | 29 | 381 | 388 | 415 | 14 | 37 | 9 | 10 | 28 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 66.7% | 13.8% | 94.6% | 108.4 | LUCKY | |
| 15 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 40 | 30 | 33 | 4 | 101 | 381 | 388 | 415 | 14 | 77 | 21 | 22 | 86 | 14 | 2 | 14.29% | 11 | 3 | 72.73% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 70.0% | 8.9% | 92.2% | 101.1 | Unlucky | |
| 16 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 40 | 30 | 33 | 4 | 17 | 381 | 388 | 415 | 14 | 38 | 12 | 14 | 22 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 66.7% | 23.5% | 92.1% | 115.6 | LUCKY | |
| 17 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 40 | 30 | 33 | 4 | 76 | 381 | 388 | 415 | 14 | 71 | 28 | 29 | 40 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 54.5% | 9.2% | 91.5% | 100.8 | LUCKY | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 40 | 30 | 33 | 4 | 21 | 381 | 388 | 415 | 14 | 30 | 8 | 12 | 16 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 0.0% | 4.8% | 90.0% | 94.8 | Unlucky | |
| 19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 40 | 30 | 33 | 4 | 68 | 381 | 388 | 415 | 14 | 65 | 18 | 20 | 48 | 7 | 3 | 42.86% | 9 | 2 | 77.78% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 30.8% | 10.3% | 83.1% | 93.4 | FUN | |
| 20 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 40 | 30 | 33 | 4 | 25 | 381 | 388 | 415 | 14 | 38 | 16 | 4 | 31 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 50.0% | 16.0% | 86.8% | 102.8 | FUN | |
| 21 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 40 | 30 | 33 | 4 | 56 | 381 | 388 | 415 | 14 | 59 | 15 | 18 | 42 | 13 | 3 | 23.08% | 9 | 4 | 55.56% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 25.0% | 7.1% | 88.1% | 95.3 | Unlucky | |
| 22 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.500 | 12 | 19 | 31 | 0 | 0 | 40 | 30 | 33 | 4 | 127 | 381 | 388 | 415 | 14 | 143 | 33 | 26 | 86 | 14 | 2 | 14.29% | 13 | 3 | 76.92% | 1 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 58.8% | 9.4% | 93.0% | 102.5 | LUCKY | |
| 23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 40 | 30 | 33 | 4 | 66 | 381 | 388 | 415 | 14 | 60 | 27 | 4 | 50 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 41.7% | 7.6% | 88.3% | 95.9 | Unlucky | |
| 24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 40 | 30 | 33 | 4 | 38 | 381 | 388 | 415 | 14 | 46 | 9 | 8 | 37 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 60.0% | 15.8% | 91.3% | 107.1 | LUCKY | |
| _Vs Division | 11 | 8 | 7 | 0 | 0 | 1 | 1 | 0 | 21 | 40 | -19 | 19 | 0.864 | 21 | 35 | 56 | 0 | 0 | 40 | 30 | 33 | 4 | 344 | 381 | 388 | 415 | 14 | 384 | 104 | 96 | 221 | 39 | 5 | 12.82% | 38 | 9 | 76.32% | 0 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 34.0% | 6.1% | 89.6% | 95.7 | Unlucky | |
| _Vs Conference | 28 | 8 | 16 | 0 | 0 | 3 | 1 | 0 | 71 | 88 | -17 | 21 | 0.375 | 71 | 121 | 192 | 0 | 0 | 40 | 30 | 33 | 4 | 845 | 381 | 388 | 415 | 14 | 957 | 247 | 232 | 620 | 95 | 17 | 17.89% | 97 | 23 | 76.29% | 1 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 45.4% | 8.4% | 90.8% | 99.2 | Unlucky | |
| _Since Last GM Reset | 40 | 10 | 23 | 0 | 2 | 3 | 1 | 1 | 106 | 128 | -22 | 30 | 0.375 | 106 | 184 | 290 | 0 | 0 | 40 | 30 | 33 | 4 | 1194 | 381 | 388 | 415 | 14 | 1387 | 369 | 336 | 916 | 129 | 20 | 15.50% | 145 | 30 | 79.31% | 2 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 46.7% | 8.9% | 90.8% | 99.6 | Unlucky | |
| Total | 40 | 10 | 23 | 0 | 2 | 3 | 1 | 1 | 106 | 128 | -22 | 30 | 0.375 | 106 | 184 | 290 | 0 | 0 | 40 | 30 | 33 | 4 | 1194 | 381 | 388 | 415 | 14 | 1387 | 369 | 336 | 916 | 129 | 20 | 15.50% | 145 | 30 | 79.31% | 2 | 659 | 1359 | 48.49% | 745 | 1505 | 49.50% | 321 | 657 | 48.86% | 909 | 599 | 971 | 317 | 537 | 262 | 46.7% | 8.9% | 90.8% | 99.6 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1359 |
| Neutral Zone Start | 657 |
| Defensive Zone Start | 1505 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1725 |
| Faceoffs Lost | 1796 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.5 | 9.57 |
| 2nd Period | 19.2 | 20.31 |
| 3rd Period | 29.6 | 30.68 |
| Overtime | 30.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.6 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 84 |
|---|---|
| PP Goal | 20 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 7 | 6 |
| Lost | 9 | 14 |
| Overtime Lost | 4 | 0 |
| PP Attempt | 129 |
|---|---|
| PP Goal | 20 |
| PK Attempt | 145 |
| PK Goal Against | 30 |
| Home | |
|---|---|
| Shots For | 29.9 |
| Shots Against | 34.7 |
| Goals For | 2.7 |
| Goals Against | 3.2 |
| Hits | 22.9 |
| Shots Blocked | 9.2 |
| Pim | 8.4 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Islanders3,Checkers1 | RECAP | |||||||||||
| 2025-10-13 | @ | Bruins5,Checkers4 (OT) | RECAP | |||||||||||
| 2025-10-15 | @ | Checkers3,Phantoms4 | RECAP | |||||||||||
| 2025-10-18 | @ | Thunderbirds2,Checkers3 | RECAP | |||||||||||
| 2025-10-21 | @ | Checkers4,Islanders1 | RECAP | |||||||||||
| 2025-10-22 | @ | Bears5,Checkers2 | RECAP | |||||||||||
| 2025-10-25 | @ | Checkers2,Barracuda3 | RECAP | |||||||||||
| 2025-10-26 | @ | Penguins1,Checkers2 | RECAP | |||||||||||
| 2025-10-29 | @ | Wolf Pack2,Checkers5 | RECAP | |||||||||||
| 2025-10-30 | @ | Checkers0,Senators3 | RECAP | |||||||||||
| 2025-11-02 | @ | Checkers1,Thunderbirds3 | RECAP | |||||||||||
| 2025-11-03 | @ | Bears1,Checkers2 (SO) | RECAP | |||||||||||
| 2025-11-09 | @ | Penguins4,Checkers3 | RECAP | |||||||||||
| 2025-11-13 | @ | Checkers3,Canucks4 | RECAP | |||||||||||
| 2025-11-14 | @ | Reign4,Checkers5 (OT) | RECAP | |||||||||||
| 2025-11-17 | @ | Checkers2,Griffins3 | RECAP | |||||||||||
| 2025-11-19 | @ | Moose5,Checkers4 (SO) | RECAP | |||||||||||
| 2025-11-21 | @ | Checkers2,Monsters4 | RECAP | |||||||||||
| 2025-11-23 | @ | Checkers6,Firebirds4 | RECAP | |||||||||||
| 2025-11-25 | @ | Islanders1,Checkers2 | RECAP | |||||||||||
| 2025-11-27 | @ | Checkers1,IceHogs3 | RECAP | |||||||||||
| 2025-11-29 | @ | Checkers5,Thunderbirds1 | RECAP | |||||||||||
| 2025-12-01 | @ | Rocket3,Checkers2 (OT) | RECAP | |||||||||||
| 2025-12-03 | @ | Checkers0,Rocket5 | RECAP | |||||||||||
| 2025-12-05 | @ | Griffins5,Checkers1 | RECAP | |||||||||||
| 2025-12-08 | @ | Checkers3,Barracuda4 | RECAP | |||||||||||
| 2025-12-11 | @ | Checkers2,Senators3 | RECAP | |||||||||||
| 2025-12-13 | @ | Marlies4,Checkers3 (OT) | RECAP | |||||||||||
| 2025-12-16 | @ | Penguins1,Checkers4 | RECAP | |||||||||||
| 2025-12-18 | @ | Checkers4,Condors2 | RECAP | |||||||||||
| 2025-12-21 | @ | Checkers3,Penguins4 | RECAP | |||||||||||
| 2025-12-22 | @ | Admirals3,Checkers1 | RECAP | |||||||||||
| 2025-12-27 | @ | Wranglers3,Checkers1 | RECAP | |||||||||||
| 2025-12-29 | @ | Wolf Pack4,Checkers3 | RECAP | |||||||||||
| 2025-12-31 | @ | Checkers1,Wild2 | RECAP | |||||||||||
| 2026-01-02 | @ | Checkers1,Marlies3 | RECAP | |||||||||||
| 2026-01-04 | @ | Crunch5,Checkers3 | RECAP | |||||||||||
| 2026-01-08 | @ | Checkers4,Roadrunners3 (OT) | RECAP | |||||||||||
| 2026-01-09 | @ | Monsters7,Checkers5 | RECAP | |||||||||||
| 2026-01-12 | @ | Checkers3,Bruins1 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,263,666$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Charlotte | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 16 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,263,666$ | 2,263,666$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,546,941$ | 12,576$ | 1,277,500$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 95 | 15,354$ | 1,274,382$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,274,382$ | 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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