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Full Scoreboard »» |
Charlotte Checkers 0-1-1, 1pts · 15th 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/RW | 98.00 | 87 | 38 | 81 | 60 | 75 | 77 | 81 | 57 | 58 | 62 | 59 | 66 | 58 | 64 | 62 | 0 | 37 | 72 | 24 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW | 99.00 | 93 | 43 | 77 | 61 | 81 | 76 | 69 | 59 | 61 | 63 | 59 | 65 | 59 | 62 | 59 | 0 | 37 | 72 | 22 | 825,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 61 | 31 | 87 | 64 | 61 | 77 | 67 | 59 | 60 | 59 | 58 | 62 | 58 | 63 | 62 | 0 | 37 | 70 | 23 | 900,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 66 | 37 | 81 | 59 | 71 | 76 | 73 | 57 | 55 | 60 | 57 | 63 | 57 | 62 | 61 | 0 | 37 | 69 | 23 | 800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 85 | 43 | 50 | 56 | 83 | 65 | 67 | 62 | 42 | 54 | 57 | 65 | 56 | 64 | 59 | 0 | 37 | 69 | 23 | 850,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 63 | 38 | 89 | 64 | 72 | 69 | 60 | 60 | 47 | 55 | 55 | 61 | 63 | 59 | 58 | 0 | 37 | 68 | 24 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 71 | 42 | 72 | 56 | 91 | 64 | 68 | 60 | 45 | 56 | 56 | 63 | 56 | 61 | 58 | 0 | 37 | 68 | 22 | 886,666$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 39 | 82 | 56 | 77 | 64 | 69 | 60 | 60 | 55 | 56 | 63 | 56 | 61 | 59 | 0 | 37 | 68 | 22 | 850,000$/3yrs | |||
![]() | 0 | C | 99.00 | 65 | 39 | 82 | 56 | 74 | 63 | 70 | 60 | 44 | 54 | 56 | 63 | 55 | 61 | 59 | 0 | 37 | 67 | 22 | 845,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 38 | 91 | 55 | 74 | 63 | 68 | 60 | 48 | 54 | 54 | 64 | 54 | 61 | 60 | 0 | 37 | 67 | 22 | 828,333$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 37 | 97 | 53 | 66 | 60 | 77 | 58 | 64 | 52 | 50 | 61 | 51 | 55 | 55 | 0 | 37 | 64 | 21 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 56 | 31 | 99 | 55 | 62 | 71 | 67 | 51 | 30 | 56 | 50 | 52 | 50 | 61 | 61 | 0 | 37 | 64 | 22 | 894,167$/1yrs | |||
![]() | 28 | D | 99.00 | 73 | 40 | 70 | 54 | 71 | 68 | 69 | 52 | 30 | 60 | 55 | 71 | 57 | 73 | 70 | 0 | 37 | 71 | 28 | 828,000$/2yrs | |||
![]() | 0 | D | 99.00 | 68 | 39 | 78 | 50 | 71 | 66 | 66 | 50 | 30 | 55 | 56 | 68 | 55 | 68 | 66 | 0 | 37 | 68 | 26 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 66 | 40 | 81 | 49 | 83 | 63 | 67 | 48 | 30 | 54 | 52 | 65 | 53 | 63 | 61 | 0 | 33 | 66 | 23 | 787,500$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 40 | 83 | 49 | 90 | 63 | 67 | 48 | 30 | 54 | 53 | 65 | 53 | 63 | 61 | 0 | 33 | 66 | 23 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 38 | 95 | 46 | 78 | 61 | 65 | 46 | 30 | 51 | 50 | 66 | 51 | 64 | 64 | 0 | 37 | 64 | 24 | 800,000$/2yrs | |||
![]() | 0 | D | 99.00 | 58 | 38 | 96 | 53 | 74 | 57 | 74 | 48 | 30 | 53 | 50 | 52 | 52 | 53 | 53 | 0 | 37 | 63 | 19 | 975,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 43 | LW | 100.00 | 85 | 42 | 50 | 56 | 72 | 67 | 71 | 65 | 40 | 57 | 58 | 68 | 58 | 70 | 65 | 0 | 38 | 71 | 27 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 38 | 85 | 55 | 70 | 66 | 83 | 65 | 70 | 57 | 56 | 68 | 56 | 70 | 68 | 0 | 38 | 70 | 29 | 800,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 62 | 39 | 88 | 53 | 78 | 63 | 66 | 63 | 47 | 54 | 52 | 67 | 53 | 66 | 65 | 0 | 38 | 68 | 25 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 73 | 40 | 69 | 53 | 70 | 61 | 82 | 60 | 42 | 52 | 50 | 63 | 51 | 59 | 56 | 0 | 38 | 65 | 23 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 38 | 9 | 24 | 800,000$/3yrs | |||
![]() | 22 | D | 100.00 | 83 | 44 | 53 | 48 | 95 | 65 | 65 | 48 | 30 | 54 | 52 | 72 | 53 | 75 | 70 | 0 | 35 | 68 | 30 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 38 | 91 | 50 | 77 | 64 | 66 | 49 | 30 | 56 | 52 | 67 | 54 | 66 | 65 | 0 | 35 | 67 | 25 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 37 | 82 | 48 | 68 | 63 | 75 | 46 | 30 | 53 | 46 | 65 | 49 | 66 | 64 | 0 | 38 | 65 | 27 | 850,000$/2yrs | |||
![]() | 58 | D | 100.00 | 64 | 38 | 85 | 44 | 70 | 59 | 71 | 43 | 30 | 48 | 46 | 65 | 47 | 62 | 61 | 0 | 38 | 62 | 25 | 800,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 75 | 63 | 72 | 79 | 72 | 77 | 74 | 75 | 77 | 78 | 75 | 59 | 65 | 0 | 33 | 77 | 21 | 891,666$/2yrs |
![]() | 0 | 99.00 | 74 | 59 | 71 | 70 | 80 | 76 | 74 | 74 | 76 | 77 | 75 | 60 | 59 | 0 | 38 | 76 | 21 | 861,110$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 66 | 61 | 66 | 78 | 63 | 74 | 68 | 66 | 74 | 72 | 69 | 69 | 67 | 0 | 39 | 73 | 26 | 850,000$/1yrs |
![]() | 0 | 100.00 | 67 | 55 | 66 | 74 | 66 | 72 | 68 | 67 | 72 | 71 | 69 | 65 | 70 | 0 | 39 | 72 | 27 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Gruden | 68 | 70 | 76 | 68 | 78 | 75 | 58 | USA | 55 | 3 | 500,000$ |
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 | Daniil Gushchin | LW | 2 | 1 | 1 | 2 | -2 | 0 | 0 | 0 | 7 | 2 | 7 | 14.29% | 1 | 21.66 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 7 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | ||
2 | Vasily Podkolzin | LW/RW | 2 | 0 | 2 | 2 | 0 | 0 | 0 | 3 | 7 | 1 | 4 | 0.00% | 0 | 23.43 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 6 | 0 | 0 | 52.73% | 55 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
3 | Colton Dach | C/LW | 2 | 1 | 1 | 2 | -2 | 0 | 0 | 5 | 9 | 2 | 5 | 11.11% | 0 | 22.62 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 7 | 0 | 0 | 50.91% | 55 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | ||
4 | Landon Slaggert | LW | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 6 | 4 | 4 | 16.67% | 0 | 16.39 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 1.22 | 0 | 0 | ||
5 | Dylan Peterson | C/LW/RW | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 5 | 14 | 3 | 2 | 7.14% | 1 | 16.28 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 1.23 | 0 | 0 | ||
6 | Yan Kuznetsov | D | 2 | 0 | 1 | 1 | -1 | 15 | 5 | 1 | 1 | 0 | 2 | 0.00% | 2 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
7 | Brooklyn Kalmikov | LW | 2 | 1 | 0 | 1 | 0 | 2 | 0 | 3 | 3 | 1 | 1 | 33.33% | 0 | 16.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
8 | Connor Mayer | D | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 5 | 4 | 0 | 5 | 0.00% | 0 | 21.52 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
9 | Jeremy Davies | D | 2 | 0 | 0 | 0 | -2 | 4 | 0 | 9 | 2 | 0 | 2 | 0.00% | 3 | 23.24 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Helge Grans | D | 2 | 0 | 0 | 0 | 2 | 15 | 5 | 1 | 0 | 0 | 0 | 0.00% | 1 | 18.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Adam Sykora | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Isak Rosen | RW | 2 | 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 | ||
13 | Reid Schaefer | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 1 | 2 | 0.00% | 1 | 17.30 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Francesco Pinelli | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 5 | 0.00% | 1 | 19.02 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Jakub Brabenec | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 5.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Caedan Bankier | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 0 | 0 | 0.00% | 1 | 16.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 57.14% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Adam Jiricek | D | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 0 | 1 | 0 | 0.00% | 7 | 22.66 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Case McCarthy | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 0 | 1 | 0.00% | 9 | 19.81 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 36 | 5 | 8 | 13 | -8 | 36 | 10 | 44 | 66 | 15 | 40 | 7.58% | 27 | 16.62 | 1 | 2 | 3 | 63 | 0 | 0 | 0 | 59 | 0 | 0 | 48.28% | 174 | 0 | 0 | 0 | 0 | 0.43 | 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 |
# | 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 | 2 | 0 | 1 | 0 | 0.879 | 5.75 | 73 | 0 | 0 | 7 | 58 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 | |
2 | Sergei Murashov | 1 | 0 | 0 | 1 | 0.958 | 1.18 | 51 | 0 | 0 | 1 | 24 | 0 | 0 | 0 | 0.000 | 0 | 0 | 2 | 0 | 0 | 0 | |
Team Total or Average | 3 | 0 | 1 | 1 | 0.902 | 3.87 | 124 | 0 | 0 | 8 | 82 | 0 | 0 | 0 | 0.000 | 0 | 2 | 2 | 0 | 0 | 0 |
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$ | ||||||
Brooklyn Kalmikov | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Caedan Bankier | C | 22 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Case McCarthy | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Colton Dach | C/LW | 22 | 825,000$ | 825,000$ | RFA | ||||||
Connor Mayer | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Daniil Gushchin | LW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Dawson Barteaux | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dylan Peterson | C/LW/RW | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
Dylan Wells | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Wells | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
Francesco Pinelli | C | 22 | 845,000$ | 845,000$ | RFA | ||||||
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 | ||||||
Jeremy Davies | D | 28 | 828,000$ | 828,000$ | 828,000$ | UFA | |||||
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 | |||||
Ozzy Wiesblatt | RW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Reid Schaefer | LW | 22 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
Sergei Murashov | G | 21 | 861,110$ | 861,110$ | 861,110$ | RFA | |||||
Tye Felhaber | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Vasily Podkolzin | LW/RW | 24 | 1,000,000$ | 1,000,000$ | |||||||
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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 4 | 0 | 27 | 15 | 23 | 27 | 1 | 42 | 11 | 19 | 21 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 36 | 73 | 49.32% | 38 | 68 | 55.88% | 10 | 32 | 31.25% | 47 | 31 | 49 | 15 | 28 | 14 | 0.0% | 3.7% | 92.9% | 96.6 | DULL | |
2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 4 | 0 | 39 | 15 | 23 | 27 | 1 | 40 | 16 | 17 | 23 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 36 | 73 | 49.32% | 38 | 68 | 55.88% | 10 | 32 | 31.25% | 47 | 31 | 49 | 15 | 28 | 14 | 44.4% | 10.3% | 87.5% | 97.8 | FUN | |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 4 | 0 | 39 | 15 | 23 | 27 | 1 | 40 | 16 | 17 | 23 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 36 | 73 | 49.32% | 38 | 68 | 55.88% | 10 | 32 | 31.25% | 47 | 31 | 49 | 15 | 28 | 14 | 44.4% | 10.3% | 87.5% | 97.8 | FUN | |
_Vs Conference | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 4 | 0 | 66 | 15 | 23 | 27 | 1 | 82 | 27 | 36 | 44 | 7 | 1 | 14.29% | 7 | 2 | 71.43% | 0 | 36 | 73 | 49.32% | 38 | 68 | 55.88% | 10 | 32 | 31.25% | 47 | 31 | 49 | 15 | 28 | 14 | 40.0% | 7.6% | 90.2% | 97.8 | Unlucky | |
_Since Last GM Reset | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 4 | 0 | 66 | 15 | 23 | 27 | 1 | 82 | 27 | 36 | 44 | 7 | 1 | 14.29% | 7 | 2 | 71.43% | 0 | 36 | 73 | 49.32% | 38 | 68 | 55.88% | 10 | 32 | 31.25% | 47 | 31 | 49 | 15 | 28 | 14 | 40.0% | 7.6% | 90.2% | 97.8 | Unlucky | |
Total | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 4 | 0 | 66 | 15 | 23 | 27 | 1 | 82 | 27 | 36 | 44 | 7 | 1 | 14.29% | 7 | 2 | 71.43% | 0 | 36 | 73 | 49.32% | 38 | 68 | 55.88% | 10 | 32 | 31.25% | 47 | 31 | 49 | 15 | 28 | 14 | 40.0% | 7.6% | 90.2% | 97.8 | Unlucky |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 14 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 73 |
Neutral Zone Start | 32 |
Defensive Zone Start | 68 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 84 |
Faceoffs Lost | 89 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.5 | 9.57 |
2nd Period | 19.0 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 1 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 7 |
---|---|
PP Goal | 1 |
PK Attempt | 7 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 41.0 |
Goals For | 2.5 |
Goals Against | 4.0 |
Hits | 22.0 |
Shots Blocked | 13.5 |
Pim | 18.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,269,745$ | 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 |
34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,269,745$ | 2,269,745$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
92,322$ | 12,610$ | 75,660$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 186 | 15,387$ | 2,677,338$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,677,338$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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