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Full Scoreboard »» |
Charlotte Checkers 23-38-4, 50pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 98.00 | 68 | 32 | 91 | 59 | 71 | 74 | 67 | 60 | 55 | 63 | 58 | 64 | 59 | 61 | 60 | 0 | 34 | 71 | 22 | 775,000$/1yrs | |||
![]() | 0 | C | 96.00 | 64 | 38 | 85 | 55 | 70 | 66 | 83 | 65 | 70 | 57 | 56 | 68 | 56 | 70 | 68 | 0 | 33 | 70 | 28 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 63 | 38 | 86 | 62 | 69 | 67 | 87 | 59 | 46 | 60 | 62 | 62 | 61 | 59 | 58 | 0 | 32 | 70 | 23 | 828,333$/1yrs | |||
![]() | 0 | C | 97.00 | 66 | 38 | 80 | 60 | 69 | 67 | 89 | 62 | 68 | 65 | 54 | 63 | 60 | 61 | 59 | 0 | 37 | 70 | 24 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 38 | 89 | 58 | 71 | 66 | 74 | 61 | 65 | 61 | 55 | 64 | 58 | 63 | 62 | 0 | 17 | 69 | 24 | 800,000$/1yrs | |||
![]() | 43 | LW | 100.00 | 75 | 40 | 66 | 54 | 71 | 64 | 77 | 63 | 76 | 53 | 56 | 66 | 55 | 66 | 63 | 0 | 19 | 68 | 26 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 37 | 89 | 56 | 75 | 74 | 74 | 56 | 60 | 57 | 58 | 57 | 57 | 63 | 62 | 0 | 18 | 68 | 23 | 1,000,000$/2yrs | |||
![]() | 0 | RW | 98.00 | 58 | 37 | 93 | 59 | 68 | 65 | 87 | 58 | 59 | 58 | 57 | 61 | 58 | 58 | 57 | 0 | 33 | 68 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/LW | 98.00 | 71 | 41 | 72 | 56 | 81 | 63 | 73 | 58 | 64 | 55 | 55 | 61 | 55 | 57 | 55 | 0 | 32 | 67 | 22 | 847,500$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 39 | 85 | 55 | 77 | 62 | 74 | 58 | 66 | 51 | 56 | 62 | 53 | 57 | 56 | 0 | 21 | 66 | 22 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 40 | 69 | 53 | 70 | 61 | 82 | 60 | 42 | 52 | 50 | 63 | 51 | 59 | 56 | 0 | 20 | 65 | 23 | 835,833$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 41 | 79 | 53 | 88 | 60 | 76 | 59 | 45 | 52 | 50 | 62 | 51 | 57 | 55 | 0 | 30 | 65 | 21 | 950,000$/1yrs | |||
![]() | 0 | C | 98.00 | 62 | 38 | 87 | 53 | 74 | 60 | 77 | 59 | 64 | 48 | 54 | 62 | 51 | 57 | 56 | 0 | 40 | 65 | 21 | 845,000$/2yrs | |||
![]() | 9 | D | 98.00 | 72 | 40 | 72 | 53 | 78 | 67 | 84 | 52 | 30 | 58 | 58 | 66 | 58 | 65 | 62 | 0 | 40 | 69 | 25 | 775,000$/1yrs | |||
![]() | 28 | D | 98.00 | 80 | 41 | 57 | 48 | 73 | 65 | 88 | 48 | 30 | 54 | 54 | 69 | 54 | 70 | 65 | 0 | 37 | 67 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 98.00 | 65 | 39 | 82 | 48 | 79 | 64 | 81 | 48 | 30 | 53 | 52 | 69 | 53 | 70 | 68 | 0 | 41 | 66 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 98.00 | 64 | 40 | 84 | 46 | 85 | 60 | 87 | 45 | 30 | 51 | 49 | 63 | 50 | 59 | 57 | 0 | 38 | 63 | 23 | 775,000$/1yrs | |||
![]() | 0 | D | 98.00 | 58 | 38 | 96 | 53 | 74 | 57 | 74 | 48 | 30 | 53 | 50 | 52 | 52 | 53 | 53 | 0 | 36 | 63 | 19 | 975,000$/3yrs | |||
![]() | 0 | D | 98.00 | 63 | 39 | 86 | 44 | 83 | 58 | 85 | 43 | 30 | 49 | 46 | 63 | 48 | 59 | 57 | 0 | 34 | 62 | 22 | 847,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 61 | 38 | 93 | 54 | 84 | 67 | 72 | 62 | 36 | 52 | 59 | 66 | 55 | 68 | 67 | 0 | 20 | 69 | 27 | ||||
![]() | 52 | LW | 100.00 | 67 | 40 | 79 | 61 | 79 | 61 | 60 | 59 | 65 | 52 | 54 | 62 | 61 | 65 | 62 | 0 | 19 | 67 | 27 | ||||
![]() | 0 | C | 100.00 | 68 | 39 | 78 | 58 | 77 | 74 | 60 | 57 | 66 | 51 | 48 | 57 | 54 | 65 | 67 | 0 | 20 | 65 | 28 | ||||
![]() | 0 | C | 100.00 | 57 | 38 | 96 | 49 | 77 | 60 | 75 | 63 | 66 | 51 | 47 | 66 | 49 | 64 | 64 | 0 | 20 | 65 | 26 | ||||
![]() | 0 | LW | 100.00 | 57 | 38 | 96 | 48 | 79 | 59 | 72 | 62 | 44 | 47 | 48 | 65 | 48 | 62 | 62 | 0 | 22 | 64 | 24 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 37 | 97 | 53 | 66 | 60 | 77 | 58 | 64 | 52 | 50 | 61 | 51 | 55 | 55 | 0 | 29 | 64 | 20 | 870,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 38 | 88 | 52 | 72 | 59 | 73 | 59 | 65 | 49 | 50 | 62 | 50 | 57 | 56 | 0 | 26 | 64 | 21 | 828,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 19 | 9 | 24 | ||||
![]() | 0 | D | 100.00 | 68 | 39 | 78 | 60 | 71 | 61 | 60 | 58 | 65 | 56 | 46 | 66 | 59 | 65 | 62 | 0 | 19 | 69 | 26 | ||||
![]() | 0 | D | 100.00 | 65 | 37 | 82 | 48 | 68 | 63 | 75 | 46 | 30 | 53 | 46 | 65 | 49 | 66 | 64 | 0 | 19 | 65 | 26 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 38 | 94 | 51 | 75 | 64 | 75 | 53 | 30 | 46 | 46 | 68 | 57 | 66 | 66 | 0 | 20 | 64 | 26 | ||||
![]() | 58 | D | 100.00 | 64 | 38 | 85 | 44 | 70 | 59 | 71 | 43 | 30 | 48 | 46 | 65 | 47 | 62 | 61 | 0 | 19 | 62 | 25 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 95.00 | 75 | 63 | 72 | 79 | 72 | 77 | 74 | 75 | 77 | 78 | 75 | 59 | 65 | 0 | 39 | 77 | 21 | 891,666$/3yrs |
![]() | 0 | 100.00 | 72 | 76 | 69 | 81 | 66 | 74 | 73 | 72 | 74 | 73 | 73 | 65 | 66 | 0 | 38 | 76 | 26 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 72 | 79 | 69 | 82 | 65 | 74 | 73 | 72 | 74 | 73 | 73 | 65 | 66 | 0 | 20 | 77 | 25 | |
![]() | 0 | 100.00 | 67 | 55 | 66 | 74 | 66 | 72 | 68 | 67 | 72 | 71 | 69 | 65 | 70 | 0 | 36 | 72 | 27 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Gruden | 68 | 70 | 76 | 68 | 78 | 75 | 58 | USA | 54 | 4 | 500,000$ |
General Manager |
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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 |
# | 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 | Adam Brooks | C | 62 | 14 | 22 | 36 | -9 | 12 | 0 | 80 | 174 | 49 | 118 | 8.05% | 17 | 18.98 | 2 | 4 | 6 | 119 | 0 | 0 | 0 | 116 | 2 | 3 | 53.09% | 437 | 0 | 0 | 0 | 0 | 0.61 | 1 | 2 | ||
2 | Gage Goncalves | C | 63 | 12 | 20 | 32 | -1 | 28 | 0 | 104 | 133 | 41 | 95 | 9.02% | 14 | 14.79 | 2 | 4 | 6 | 123 | 0 | 0 | 0 | 77 | 1 | 1 | 48.34% | 573 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 | ||
3 | Jeremy Davies | D | 65 | 3 | 23 | 26 | -16 | 84 | 10 | 205 | 72 | 26 | 49 | 4.17% | 104 | 20.44 | 1 | 2 | 3 | 89 | 0 | 0 | 0 | 62 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
4 | Isak Rosen | RW | 60 | 8 | 18 | 26 | -17 | 6 | 0 | 38 | 158 | 45 | 109 | 5.06% | 9 | 17.91 | 0 | 3 | 3 | 73 | 0 | 1 | 1 | 31 | 0 | 1 | 44.17% | 1141 | 0 | 0 | 0 | 0 | 0.48 | 1 | 1 | ||
5 | Leon Gawanke | D | 65 | 7 | 18 | 25 | -24 | 56 | 0 | 154 | 93 | 30 | 56 | 7.53% | 102 | 21.09 | 3 | 3 | 6 | 161 | 0 | 0 | 0 | 122 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
6 | Daniil Gushchin | LW | 62 | 11 | 14 | 25 | -12 | 16 | 0 | 93 | 178 | 45 | 133 | 6.18% | 7 | 18.07 | 2 | 3 | 5 | 144 | 0 | 0 | 0 | 77 | 1 | 1 | 39.47% | 717 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | ||
7 | Colton Dach | C/LW | 65 | 10 | 15 | 25 | -21 | 24 | 0 | 86 | 179 | 52 | 122 | 5.59% | 7 | 17.03 | 1 | 4 | 5 | 81 | 0 | 0 | 0 | 30 | 2 | 0 | 48.82% | 127 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
8 | Vasily Podkolzin | LW/RW | 54 | 10 | 13 | 23 | -16 | 28 | 0 | 88 | 105 | 31 | 59 | 9.52% | 4 | 16.74 | 2 | 6 | 8 | 97 | 1 | 0 | 1 | 4 | 1 | 0 | 48.72% | 1090 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
9 | Landon Slaggert | LW | 41 | 8 | 13 | 21 | -10 | 8 | 0 | 79 | 136 | 32 | 105 | 5.88% | 10 | 18.63 | 3 | 4 | 7 | 108 | 0 | 1 | 1 | 33 | 2 | 0 | 47.30% | 222 | 0 | 0 | 0 | 0 | 0.55 | 1 | 2 | ||
10 | Adam Sykora | LW/RW | 61 | 7 | 13 | 20 | -6 | 2 | 0 | 22 | 104 | 30 | 82 | 6.73% | 4 | 14.10 | 1 | 5 | 6 | 126 | 1 | 0 | 1 | 58 | 1 | 0 | 45.88% | 170 | 0 | 0 | 0 | 0 | 0.47 | 1 | 1 | ||
11 | Francesco Pinelli | C | 62 | 8 | 10 | 18 | -15 | 6 | 0 | 71 | 104 | 26 | 63 | 7.69% | 12 | 15.32 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 42.37% | 59 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
12 | Ozzy Wiesblatt | RW | 54 | 6 | 9 | 15 | -14 | 19 | 5 | 61 | 95 | 36 | 78 | 6.32% | 8 | 12.51 | 3 | 2 | 5 | 79 | 0 | 0 | 0 | 41 | 1 | 0 | 34.48% | 58 | 0 | 0 | 0 | 0 | 0.44 | 1 | 2 | ||
13 | Yan Kuznetsov | D | 65 | 4 | 8 | 12 | -13 | 28 | 0 | 109 | 61 | 16 | 36 | 6.56% | 70 | 20.63 | 1 | 1 | 2 | 167 | 0 | 0 | 0 | 129 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
14 | Cavan Fitzgerald | D | 62 | 3 | 8 | 11 | -17 | 24 | 0 | 61 | 42 | 14 | 42 | 7.14% | 73 | 17.58 | 1 | 0 | 1 | 38 | 0 | 0 | 0 | 67 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
15 | Blade Jenkins | LW | 53 | 4 | 7 | 11 | -4 | 2 | 0 | 13 | 60 | 14 | 34 | 6.67% | 10 | 7.65 | 1 | 3 | 4 | 73 | 0 | 0 | 0 | 57 | 0 | 0 | 49.52% | 105 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
16 | Reid Schaefer | LW | 61 | 4 | 6 | 10 | -14 | 12 | 0 | 20 | 61 | 16 | 52 | 6.56% | 8 | 10.87 | 0 | 1 | 1 | 23 | 0 | 0 | 0 | 19 | 0 | 0 | 39.08% | 261 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
17 | Adam Jiricek | D | 65 | 3 | 7 | 10 | -18 | 2 | 0 | 5 | 32 | 11 | 25 | 9.38% | 59 | 20.36 | 0 | 1 | 1 | 158 | 0 | 0 | 0 | 90 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
18 | Semyon Der-Arguchintsev | C | 19 | 2 | 7 | 9 | -7 | 0 | 0 | 7 | 33 | 8 | 30 | 6.06% | 9 | 15.75 | 1 | 1 | 2 | 32 | 0 | 0 | 0 | 21 | 0 | 0 | 45.71% | 35 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
19 | Tye Felhaber | LW | 30 | 2 | 4 | 6 | -8 | 18 | 0 | 66 | 60 | 11 | 59 | 3.33% | 6 | 16.60 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 27 | 0 | 0 | 54.83% | 518 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
20 | Helge Grans | D | 63 | 2 | 2 | 4 | -12 | 22 | 0 | 91 | 38 | 6 | 19 | 5.26% | 78 | 19.55 | 1 | 0 | 1 | 103 | 0 | 0 | 0 | 118 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | ||
21 | Victor Mete | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 1 | 0 | 0.00% | 5 | 20.23 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Jakub Brabenec | C | 52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
23 | Caedan Bankier | C | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0.00% | 0 | 1.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1196 | 128 | 237 | 365 | -254 | 397 | 15 | 1457 | 1922 | 542 | 1367 | 6.66% | 616 | 16.05 | 25 | 48 | 73 | 1823 | 2 | 2 | 4 | 1192 | 20 | 6 | 46.66% | 5525 | 0 | 0 | 0 | 0 | 0.38 | 5 | 10 |
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 | Keith Petruzzelli | 33 | 11 | 19 | 3 | 0.910 | 3.02 | 1945 | 0 | 0 | 98 | 1085 | 0 | 0 | 0 | 0.857 | 7 | 33 | 18 | 2 | 4 | 3 | |
2 | Niklas Kokko | 16 | 5 | 10 | 0 | 0.913 | 2.68 | 939 | 2 | 2 | 42 | 484 | 0 | 0 | 1 | 0.000 | 0 | 15 | 4 | 1 | 2 | 0 | |
3 | Dylan Wells | 7 | 3 | 2 | 0 | 0.924 | 2.39 | 351 | 0 | 0 | 14 | 185 | 0 | 0 | 0 | 1.000 | 2 | 5 | 34 | 1 | 1 | 0 | |
Team Total or Average | 56 | 19 | 31 | 3 | 0.912 | 2.86 | 3235 | 2 | 2 | 154 | 1754 | 0 | 0 | 1 | 0.889 | 9 | 53 | 56 | 4 | 7 | 3 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie | C | 26 | 0$ | ||||||||
Adam Brooks | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Adam Jiricek | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Adam Sykora | LW/RW | 20 | 870,000$ | 870,000$ | RFA | ||||||
Albin Grewe | LW | 24 | 0$ | ||||||||
Axel Andersson | D | 25 | 0$ | ||||||||
Blade Jenkins | LW | 24 | 800,000$ | 800,000$ | |||||||
Caedan Bankier | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Cavan Fitzgerald | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Chad Krys | D | 26 | 0$ | ||||||||
Colton Dach | C/LW | 22 | 847,500$ | 847,500$ | RFA | ||||||
Daniil Gushchin | LW | 23 | 828,333$ | 828,333$ | RFA | ||||||
Dylan Wells | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Wells | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
Francesco Pinelli | C | 21 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Gage Goncalves | C | 24 | 775,000$ | 775,000$ | |||||||
Helge Grans | D | 22 | 847,500$ | 847,500$ | RFA | ||||||
Isak Rosen | RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
J.C. Beaudin | C | 28 | 0$ | UFA | |||||||
Jack Kopacka | LW | 27 | 0$ | UFA | |||||||
Jakub Brabenec | C | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Jeremy Davies | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Joona Luoto | LW/RW | 27 | 0$ | UFA | |||||||
Jordan Sambrook | D | 26 | 0$ | ||||||||
Keith Petruzzelli | G | 26 | 775,000$ | 775,000$ | |||||||
Landon Slaggert | LW | 22 | 775,000$ | 775,000$ | RFA | ||||||
Leon Gawanke | D | 25 | 775,000$ | 775,000$ | |||||||
Niklas Kokko | G | 21 | 891,666$ | 891,666$ | 891,666$ | 891,666$ | RFA | ||||
Oskari Salminen | G | 25 | 0$ | ||||||||
Ozzy Wiesblatt | RW | 23 | 835,833$ | 835,833$ | RFA | ||||||
Reid Schaefer | LW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Semyon Der-Arguchintsev | C | 24 | 800,000$ | 800,000$ | |||||||
Tye Felhaber | LW | 26 | 775,000$ | 775,000$ | |||||||
Vasily Podkolzin | LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Victor Mete | D | 26 | 850,000$ | 850,000$ | |||||||
Yan Kuznetsov | D | 23 | 775,000$ | 775,000$ | 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 |
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1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 48 | 47 | 32 | 7 | 55 | 660 | 589 | 661 | 27 | 89 | 20 | 16 | 44 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 37.5% | 12.7% | 87.6% | 100.4 | FUN | |
2 | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 5 | 15 | -10 | 2 | 0.250 | 5 | 7 | 12 | 0 | 0 | 48 | 47 | 32 | 7 | 129 | 660 | 589 | 661 | 27 | 144 | 43 | 20 | 95 | 15 | 1 | 6.67% | 10 | 2 | 80.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 23.5% | 3.9% | 89.6% | 93.5 | Unlucky | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 48 | 47 | 32 | 7 | 53 | 660 | 589 | 661 | 27 | 61 | 26 | 8 | 49 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 22.2% | 7.5% | 88.5% | 96.1 | Unlucky | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 48 | 47 | 32 | 7 | 65 | 660 | 589 | 661 | 27 | 51 | 22 | 8 | 38 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 1 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 100.0% | 9.2% | 98.0% | 107.3 | LUCKY | |
5 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 48 | 47 | 32 | 7 | 92 | 660 | 589 | 661 | 27 | 121 | 32 | 22 | 87 | 8 | 1 | 12.50% | 11 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 44.4% | 9.8% | 91.7% | 101.5 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 48 | 47 | 32 | 7 | 30 | 660 | 589 | 661 | 27 | 44 | 8 | 2 | 22 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 66.7% | 6.7% | 97.7% | 104.4 | DULL | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 48 | 47 | 32 | 7 | 59 | 660 | 589 | 661 | 27 | 78 | 20 | 17 | 50 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 30.8% | 6.8% | 88.5% | 95.2 | Unlucky | |
8 | 5 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 10 | 0 | 7 | 0.700 | 10 | 20 | 30 | 0 | 1 | 48 | 47 | 32 | 7 | 155 | 660 | 589 | 661 | 27 | 143 | 42 | 28 | 106 | 22 | 1 | 4.55% | 12 | 2 | 83.33% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 52.9% | 6.5% | 93.0% | 99.5 | DULL | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 48 | 47 | 32 | 7 | 54 | 660 | 589 | 661 | 27 | 56 | 7 | 10 | 47 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 33.3% | 7.4% | 92.9% | 100.3 | DULL | |
10 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0.250 | 7 | 13 | 20 | 0 | 0 | 48 | 47 | 32 | 7 | 131 | 660 | 589 | 661 | 27 | 138 | 44 | 20 | 110 | 7 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 46.7% | 5.3% | 91.3% | 96.6 | DULL | |
11 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 48 | 47 | 32 | 7 | 118 | 660 | 589 | 661 | 27 | 125 | 37 | 37 | 72 | 14 | 1 | 7.14% | 14 | 4 | 71.43% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 33.3% | 3.4% | 92.0% | 95.4 | DULL | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 48 | 47 | 32 | 7 | 29 | 660 | 589 | 661 | 27 | 42 | 9 | 10 | 32 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 33.3% | 3.4% | 92.9% | 96.3 | DULL | |
13 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 48 | 47 | 32 | 7 | 39 | 660 | 589 | 661 | 27 | 28 | 2 | 6 | 21 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 50.0% | 7.7% | 92.9% | 100.5 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 48 | 47 | 32 | 7 | 40 | 660 | 589 | 661 | 27 | 26 | 11 | 4 | 21 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 60.0% | 7.5% | 92.3% | 99.8 | DULL | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 48 | 47 | 32 | 7 | 28 | 660 | 589 | 661 | 27 | 34 | 12 | 8 | 14 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 40.0% | 7.1% | 91.2% | 98.3 | DULL | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 48 | 47 | 32 | 7 | 52 | 660 | 589 | 661 | 27 | 68 | 19 | 14 | 53 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 66.7% | 7.7% | 94.1% | 101.8 | DULL | |
17 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 17 | -12 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 48 | 47 | 32 | 7 | 73 | 660 | 589 | 661 | 27 | 137 | 46 | 22 | 63 | 10 | 1 | 10.00% | 11 | 3 | 72.73% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 22.2% | 6.8% | 87.6% | 94.4 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 48 | 47 | 32 | 7 | 45 | 660 | 589 | 661 | 27 | 26 | 6 | 7 | 20 | 7 | 2 | 28.57% | 1 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 0.0% | 4.4% | 96.2% | 100.6 | DULL | |
19 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 10 | -1 | 6 | 0.750 | 9 | 17 | 26 | 0 | 0 | 48 | 47 | 32 | 7 | 109 | 660 | 589 | 661 | 27 | 122 | 36 | 30 | 93 | 11 | 1 | 9.09% | 13 | 4 | 69.23% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 57.1% | 8.3% | 91.8% | 100.1 | DULL | |
20 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 3 | 0.500 | 5 | 9 | 14 | 0 | 0 | 48 | 47 | 32 | 7 | 88 | 660 | 589 | 661 | 27 | 97 | 28 | 22 | 67 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 50.0% | 5.7% | 93.8% | 99.5 | DULL | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 48 | 47 | 32 | 7 | 33 | 660 | 589 | 661 | 27 | 34 | 6 | 4 | 13 | 6 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 25.0% | 3.0% | 85.3% | 88.3 | Unlucky | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 48 | 47 | 32 | 7 | 45 | 660 | 589 | 661 | 27 | 64 | 18 | 14 | 42 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 21.4% | 6.7% | 81.3% | 87.9 | Unlucky | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 48 | 47 | 32 | 7 | 26 | 660 | 589 | 661 | 27 | 34 | 9 | 2 | 31 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 0.0% | 0.0% | 97.1% | 97.1 | DULL | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 48 | 47 | 32 | 7 | 23 | 660 | 589 | 661 | 27 | 37 | 16 | 4 | 23 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 25.0% | 8.7% | 89.2% | 97.9 | Unlucky | |
25 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 48 | 47 | 32 | 7 | 26 | 660 | 589 | 661 | 27 | 28 | 7 | 2 | 21 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 33.3% | 3.8% | 92.9% | 96.7 | DULL | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 48 | 47 | 32 | 7 | 52 | 660 | 589 | 661 | 27 | 73 | 21 | 16 | 44 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 22.2% | 5.8% | 89.0% | 94.8 | Unlucky | |
27 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 12 | 2 | 4 | 0.500 | 14 | 25 | 39 | 0 | 0 | 48 | 47 | 32 | 7 | 143 | 660 | 589 | 661 | 27 | 146 | 35 | 20 | 93 | 16 | 4 | 25.00% | 9 | 4 | 55.56% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 55.6% | 9.8% | 91.8% | 101.6 | LUCKY | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 48 | 47 | 32 | 7 | 35 | 660 | 589 | 661 | 27 | 37 | 5 | 6 | 23 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 33.3% | 5.7% | 91.9% | 97.6 | DULL | |
29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 48 | 47 | 32 | 7 | 73 | 660 | 589 | 661 | 27 | 58 | 23 | 14 | 46 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 40.0% | 8.2% | 89.7% | 97.9 | Unlucky | |
30 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 48 | 47 | 32 | 7 | 27 | 660 | 589 | 661 | 27 | 27 | 8 | 6 | 22 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 80.0% | 14.8% | 96.3% | 111.1 | LUCKY | |
_Vs Division | 19 | 9 | 16 | 0 | 1 | 1 | 1 | 0 | 38 | 45 | -7 | 23 | 0.605 | 38 | 69 | 107 | 0 | 1 | 48 | 47 | 32 | 7 | 551 | 660 | 589 | 661 | 27 | 605 | 177 | 120 | 452 | 46 | 6 | 13.04% | 52 | 14 | 73.08% | 1 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 50.8% | 6.9% | 92.6% | 99.5 | DULL | |
_Vs Conference | 47 | 13 | 28 | 0 | 2 | 2 | 2 | 0 | 92 | 138 | -46 | 36 | 0.383 | 92 | 169 | 261 | 0 | 2 | 48 | 47 | 32 | 7 | 1359 | 660 | 589 | 661 | 27 | 1546 | 456 | 291 | 1059 | 138 | 17 | 12.32% | 130 | 30 | 76.92% | 1 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 41.0% | 6.8% | 91.1% | 97.8 | Unlucky | |
_Since Last GM Reset | 65 | 18 | 38 | 0 | 2 | 4 | 3 | 0 | 132 | 192 | -60 | 50 | 0.385 | 132 | 237 | 369 | 1 | 2 | 48 | 47 | 32 | 7 | 1927 | 660 | 589 | 661 | 27 | 2168 | 618 | 399 | 1462 | 206 | 25 | 12.14% | 173 | 36 | 79.19% | 2 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 40.7% | 6.9% | 91.1% | 98.0 | Unlucky | |
Total | 65 | 18 | 38 | 0 | 2 | 4 | 3 | 0 | 132 | 192 | -60 | 50 | 0.385 | 132 | 237 | 369 | 1 | 2 | 48 | 47 | 32 | 7 | 1927 | 660 | 589 | 661 | 27 | 2168 | 618 | 399 | 1462 | 206 | 25 | 12.14% | 173 | 36 | 79.19% | 2 | 1054 | 2246 | 46.93% | 1074 | 2313 | 46.43% | 447 | 918 | 48.69% | 1468 | 967 | 1586 | 517 | 874 | 431 | 40.7% | 6.9% | 91.1% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2246 |
Neutral Zone Start | 918 |
Defensive Zone Start | 2313 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2575 |
Faceoffs Lost | 2902 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 29.4 | 30.68 |
Overtime | 29.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.1 | 2.83 |
Even Strenght Goal | 104 |
---|---|
PP Goal | 25 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 11 | 12 |
Lost | 21 | 17 |
Overtime Lost | 2 | 2 |
PP Attempt | 206 |
---|---|
PP Goal | 25 |
PK Attempt | 173 |
PK Goal Against | 36 |
Home | |
---|---|
Shots For | 29.6 |
Shots Against | 33.4 |
Goals For | 2.0 |
Goals Against | 3.0 |
Hits | 22.5 |
Shots Blocked | 9.5 |
Pim | 6.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | @ | Checkers0,Thunderbirds6 | RECAP | |||||||||||
2024-10-10 | @ | Wolf Pack3,Checkers2 (OT) | RECAP | |||||||||||
2024-10-12 | @ | Wolf Pack5,Checkers3 | RECAP | |||||||||||
2024-10-15 | @ | Checkers2,Bears4 | RECAP | |||||||||||
2024-10-16 | @ | Rocket3,Checkers4 (OT) | RECAP | |||||||||||
2024-10-18 | @ | Checkers1,Bears3 | RECAP | |||||||||||
2024-10-24 | @ | Bears1,Checkers0 | RECAP | |||||||||||
2024-10-27 | @ | Checkers2,Bruins1 (OT) | RECAP | |||||||||||
2024-10-28 | @ | Thunderbirds6,Checkers1 | RECAP | |||||||||||
2024-10-31 | @ | Phantoms3,Checkers0 | RECAP | |||||||||||
2024-11-01 | @ | Checkers1,Phantoms5 | RECAP | |||||||||||
2024-11-03 | @ | Rocket3,Checkers1 | RECAP | |||||||||||
2024-11-05 | @ | Checkers3,Islanders2 | RECAP | |||||||||||
2024-11-07 | @ | Penguins3,Checkers7 | RECAP | |||||||||||
2024-11-11 | @ | Checkers1,Marlies5 | RECAP | |||||||||||
2024-11-13 | @ | Checkers2,Roadrunners1 | RECAP | |||||||||||
2024-11-14 | @ | Firebirds1,Checkers4 | RECAP | |||||||||||
2024-11-16 | @ | Thunderbirds5,Checkers4 | RECAP | |||||||||||
2024-11-18 | @ | Checkers2,Admirals3 | RECAP | |||||||||||
2024-11-21 | @ | Moose1,Checkers0 | RECAP | |||||||||||
2024-11-23 | @ | Checkers1,Penguins3 | RECAP | |||||||||||
2024-11-25 | @ | Checkers1,Eagles5 | RECAP | |||||||||||
2024-11-26 | @ | Americans1,Checkers2 | RECAP | |||||||||||
2024-11-28 | @ | Checkers2,Americans3 (OT) | RECAP | |||||||||||
2024-12-01 | @ | Crunch2,Checkers1 | RECAP | |||||||||||
2024-12-05 | @ | Checkers3,Bruins2 | RECAP | |||||||||||
2024-12-07 | @ | Phantoms6,Checkers2 | RECAP | |||||||||||
2024-12-11 | @ | Checkers2,Barracuda3 | RECAP | |||||||||||
2024-12-13 | @ | Stars2,Checkers1 (OT) | RECAP | |||||||||||
2024-12-15 | @ | Checkers3,Crunch2 (SO) | RECAP | |||||||||||
2024-12-18 | @ | Eagles4,Checkers3 | RECAP | |||||||||||
2024-12-22 | @ | Checkers2,Phantoms1 (SO) | RECAP | |||||||||||
2024-12-24 | @ | Checkers3,Reign2 | RECAP | |||||||||||
2024-12-26 | @ | Islanders1,Checkers3 | RECAP | |||||||||||
2024-12-28 | @ | Checkers1,Monsters4 | RECAP | |||||||||||
2024-12-29 | @ | Checkers2,Wolves1 | RECAP | |||||||||||
2024-12-31 | @ | Griffins1,Checkers3 | RECAP | |||||||||||
2025-01-04 | @ | Penguins4,Checkers2 | RECAP | |||||||||||
2025-01-07 | @ | Checkers3,Silver Knights2 | RECAP | |||||||||||
2025-01-08 | @ | Wild3,Checkers1 | RECAP | |||||||||||
2025-01-13 | @ | Bears2,Checkers1 | RECAP | |||||||||||
2025-01-17 | @ | Checkers4,Penguins2 | RECAP | |||||||||||
2025-01-18 | @ | Canucks2,Checkers3 (SO) | RECAP | |||||||||||
2025-01-23 | @ | Bruins5,Checkers1 | RECAP | |||||||||||
2025-01-25 | @ | Checkers3,Wranglers6 | RECAP | |||||||||||
2025-01-26 | @ | Checkers3,Silver Knights4 (OT) | RECAP | |||||||||||
2025-01-28 | @ | Wranglers5,Checkers4 | RECAP | |||||||||||
2025-01-31 | @ | Marlies3,Checkers2 | RECAP | |||||||||||
2025-02-01 | @ | Checkers1,IceHogs5 | RECAP | |||||||||||
2025-02-06 | @ | Monsters8,Checkers2 | RECAP | |||||||||||
2025-02-10 | @ | Islanders3,Checkers1 | RECAP | |||||||||||
2025-02-12 | @ | Checkers2,Senators1 | RECAP | |||||||||||
2025-02-13 | @ | Checkers2,Islanders4 | RECAP | |||||||||||
2025-02-15 | @ | Gulls4,Checkers2 | RECAP | |||||||||||
2025-02-18 | @ | Checkers1,Americans2 | RECAP | |||||||||||
2025-02-20 | @ | Wolf Pack0,Checkers1 | RECAP | |||||||||||
2025-02-25 | @ | Bruins2,Checkers3 | RECAP | |||||||||||
2025-02-27 | @ | Checkers2,Wolf Pack1 | RECAP | |||||||||||
2025-02-28 | @ | Senators0,Checkers4 | RECAP | |||||||||||
2025-03-03 | @ | Checkers1,Griffins3 | RECAP | |||||||||||
2025-03-05 | @ | Comets3,Checkers2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-12 | @ | Wolf Pack1,Checkers2 | RECAP | |||||||||||
2025-03-14 | @ | Checkers2,Comets4 | RECAP | |||||||||||
2025-03-17 | @ | Checkers2,Rocket4 | RECAP | |||||||||||
2025-03-18 | @ | Rocket2,Checkers0 | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-02 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,079,416$ | 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 |
2 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,079,416$ | 2,079,416$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,184,674$ | 11,425$ | 1,734,131$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 32 | 14,173$ | 255,114$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
255,114$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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