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Charlotte Checkers 2 51-25-6, 108pts · 2nd in Conference 2 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Evgeny Svechnikov | 0 | LW/RW | 100.00 | 81 | 50 | 76 | 74 | 85 | 81 | 85 | 74 | 51 | 68 | 68 | 68 | 72 | 77 | 67 | 1 | 50 | 71 | 26 | 1,600,000$/3yrs | |||
Joel Kiviranta | 0 | LW/RW | 100.00 | 81 | 50 | 78 | 76 | 74 | 83 | 82 | 72 | 40 | 63 | 66 | 72 | 71 | 64 | 54 | 1 | 50 | 69 | 27 | 2,000,000$/2yrs | |||
Brett Ritchie | 0 | RW | 100.00 | 75 | 54 | 70 | 70 | 86 | 80 | 82 | 73 | 40 | 64 | 67 | 65 | 70 | 82 | 72 | 1 | 50 | 69 | 29 | 1,500,000$/2yrs | |||
Sheldon Dries | 0 | C | 100.00 | 69 | 61 | 71 | 78 | 68 | 79 | 78 | 72 | 70 | 65 | 70 | 69 | 73 | 66 | 57 | 1 | 50 | 69 | 29 | 2,800,000$/1yrs | |||
Max Pacioretty | 0 | LW | 100.00 | 57 | 43 | 71 | 69 | 83 | 84 | 81 | 72 | 40 | 65 | 67 | 62 | 70 | 90 | 82 | 1 | 50 | 69 | 34 | 6,500,000$/2yrs | |||
Nathan Walker | 0 | LW | 100.00 | 76 | 61 | 79 | 75 | 73 | 80 | 81 | 70 | 72 | 67 | 64 | 71 | 70 | 74 | 64 | 1 | 50 | 69 | 29 | 1,250,000$/1yrs | |||
Parker Kelly | 0 | C/LW | 100.00 | 87 | 61 | 66 | 75 | 79 | 82 | 75 | 70 | 47 | 64 | 63 | 72 | 69 | 59 | 52 | 1 | 50 | 68 | 24 | 2,000,000$/4yrs | |||
Wayne Simmonds | 0 | LW/RW | 100.00 | 79 | 70 | 57 | 72 | 74 | 76 | 84 | 68 | 40 | 65 | 62 | 65 | 68 | 90 | 80 | 1 | 50 | 68 | 34 | 4,500,000$/2yrs | |||
Laurent Dauphin | 0 | C | 100.00 | 66 | 43 | 76 | 73 | 75 | 82 | 78 | 68 | 77 | 62 | 62 | 67 | 68 | 79 | 69 | 1 | 50 | 67 | 28 | 1,500,000$/3yrs | |||
Hudson Fasching | 0 | RW | 100.00 | 66 | 44 | 80 | 69 | 78 | 79 | 78 | 71 | 41 | 67 | 66 | 63 | 69 | 72 | 64 | 1 | 50 | 67 | 27 | 950,000$/2yrs | |||
Alex Galchenyuk | 0 | C/LW/RW | 100.00 | 64 | 43 | 71 | 69 | 68 | 73 | 74 | 67 | 66 | 67 | 61 | 62 | 66 | 68 | 58 | 1 | 50 | 65 | 29 | 3,000,000$/1yrs | |||
Colton White | 0 | D | 100.00 | 64 | 43 | 85 | 75 | 78 | 83 | 78 | 69 | 40 | 65 | 60 | 69 | 68 | 69 | 59 | 1 | 50 | 69 | 26 | 1,500,000$/4yrs | |||
Joel Hanley | 0 | D | 100.00 | 66 | 54 | 81 | 73 | 74 | 81 | 79 | 68 | 40 | 63 | 61 | 69 | 68 | 79 | 69 | 1 | 50 | 69 | 32 | 2,500,000$/3yrs | |||
Conor Timmins | 0 | D | 100.00 | 60 | 43 | 79 | 73 | 84 | 85 | 71 | 70 | 40 | 68 | 62 | 67 | 68 | 64 | 54 | 1 | 50 | 68 | 24 | 975,000$/1yrs | |||
Scott Harrington | 0 | D | 100.00 | 63 | 44 | 80 | 69 | 77 | 80 | 79 | 67 | 40 | 62 | 62 | 66 | 66 | 76 | 66 | 1 | 50 | 67 | 30 | 1,500,000$/1yrs | |||
Victor Mete | 0 | D | 100.00 | 55 | 43 | 77 | 74 | 75 | 83 | 72 | 67 | 40 | 64 | 60 | 68 | 67 | 74 | 64 | 1 | 50 | 67 | 25 | 2,000,000$/3yrs | |||
Cale Fleury | 0 | D | 100.00 | 67 | 47 | 71 | 71 | 79 | 78 | 67 | 66 | 40 | 62 | 59 | 67 | 65 | 61 | 54 | 1 | 50 | 66 | 24 | 1,000,000$/1yrs | |||
Jake Christiansen | 0 | D | 100.00 | 61 | 44 | 77 | 73 | 76 | 79 | 66 | 68 | 40 | 64 | 61 | 66 | 67 | 56 | 50 | 1 | 50 | 66 | 23 | 500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Martin Kaut | 0 | RW | 100.00 | 64 | 45 | 76 | 74 | 77 | 76 | 69 | 68 | 41 | 62 | 63 | 64 | 68 | 61 | 54 | 1 | 50 | 65 | 23 | 350,000$/1yrs | |||
Alex Belzile | 0 | C/RW | 100.00 | 62 | 54 | 73 | 71 | 73 | 79 | 69 | 68 | 67 | 65 | 63 | 66 | 68 | 62 | 55 | 1 | 50 | 65 | 31 | 2,500,000$/2yrs | |||
Gage Quinney | 0 | LW | 100.00 | 58 | 44 | 69 | 69 | 62 | 66 | 66 | 65 | 43 | 63 | 61 | 59 | 65 | 55 | 50 | 1 | 50 | 61 | 27 | 975,000$/3yrs | |||
Mikhail Maltsev | 0 | C/LW | 100.00 | 65 | 46 | 69 | 67 | 65 | 64 | 62 | 62 | 52 | 58 | 57 | 62 | 62 | 53 | 50 | 1 | 50 | 60 | 25 | 1,500,000$/3yrs | |||
Radim Zohorna | 0 | C/LW/RW | 100.00 | 68 | 50 | 64 | 60 | 72 | 66 | 65 | 61 | 57 | 60 | 56 | 64 | 59 | 55 | 50 | 1 | 50 | 60 | 27 | 975,000$/1yrs | |||
Nate Thompson | 0 | C | 100.00 | 57 | 50 | 63 | 60 | 66 | 67 | 67 | 59 | 61 | 54 | 54 | 57 | 58 | 80 | 70 | 1 | 50 | 59 | 38 | 1,950,000$/2yrs | |||
Jan Mysak | 0 | C/LW | 100.00 | 59 | 40 | 69 | 63 | 62 | 58 | 58 | 59 | 47 | 54 | 54 | 54 | 59 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/2yrs | |||
Patrick Guay (R) | 0 | C | 100.00 | 57 | 44 | 68 | 66 | 57 | 58 | 57 | 57 | 47 | 54 | 54 | 54 | 59 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/2yrs | |||
Michael Del Zotto | 0 | D | 100.00 | 56 | 44 | 67 | 70 | 66 | 75 | 75 | 68 | 40 | 67 | 60 | 64 | 66 | 75 | 68 | 1 | 50 | 65 | 33 | 3,100,000$/1yrs | |||
Xavier Ouellet | 0 | D | 100.00 | 59 | 49 | 68 | 68 | 63 | 68 | 66 | 63 | 40 | 62 | 54 | 67 | 62 | 59 | 52 | 1 | 50 | 62 | 29 | 1,600,000$/2yrs | |||
Jeremy Davies | 0 | D | 100.00 | 59 | 47 | 57 | 72 | 61 | 66 | 65 | 65 | 40 | 59 | 60 | 68 | 65 | 54 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/2yrs | |||
Noah Juulsen | 0 | D | 100.00 | 62 | 54 | 63 | 67 | 65 | 66 | 65 | 61 | 40 | 60 | 54 | 66 | 61 | 54 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/3yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Antti Raanta | 0 | 100.00 | 81 | 83 | 83 | 77 | 84 | 85 | 84 | 86 | 85 | 83 | 81 | 84 | 77 | 1 | 50 | 76 | 34 | 6,000,000$/4yrs |
David Rittich | 0 | 100.00 | 83 | 80 | 78 | 86 | 80 | 79 | 75 | 79 | 79 | 80 | 78 | 77 | 70 | 1 | 50 | 73 | 30 | 3,750,000$/3yrs |
Scratches | ||||||||||||||||||||
Pavel Francouz | 0 | 100.00 | 83 | 76 | 75 | 73 | 78 | 81 | 81 | 82 | 82 | 79 | 79 | 69 | 62 | 1 | 50 | 72 | 33 | 2,000,000$/1yrs |
Maxime Lagace | 0 | 100.00 | 74 | 70 | 73 | 65 | 71 | 70 | 72 | 69 | 71 | 72 | 68 | 64 | 57 | 1 | 50 | 65 | 30 | 975,000$/2yrs |
Zach Sawchenko | 0 | 100.00 | 72 | 66 | 66 | 64 | 68 | 67 | 69 | 65 | 68 | 69 | 61 | 56 | 51 | 1 | 50 | 62 | 28 | 975,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Burrows | 68 | 67 | 70 | 70 | 57 | 55 | 1 | CAN | 42 | 3 | 1,000,000$ |
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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Laurent Dauphin | Checkers 2 (SEA) | C | 82 | 27 | 60 | 87 | 19 | 50 | 10 | 148 | 234 | 70 | 156 | 11.54% | 34 | 21.92 | 7 | 26 | 33 | 0 | 1 | 1 | 64 | 6 | 2 | 61.50% | 1 | 0 | 1.06 | 1 | 1 | 1.05 | |||
2 | Max Pacioretty | Checkers 2 (SEA) | LW | 82 | 40 | 42 | 82 | 22 | 66 | 0 | 143 | 313 | 84 | 176 | 12.78% | 23 | 20.67 | 14 | 13 | 27 | 0 | 0 | 0 | 1 | 11 | 1 | 52.04% | 0 | 2 | 1.00 | 2 | 6 | 1.05 | |||
3 | Brett Ritchie | Checkers 2 (SEA) | RW | 82 | 39 | 37 | 76 | 19 | 97 | 35 | 184 | 318 | 85 | 173 | 12.26% | 27 | 21.78 | 16 | 13 | 29 | 1 | 1 | 2 | 38 | 8 | 2 | 40.85% | 0 | 2 | 0.93 | 5 | 6 | 0.93 | |||
4 | Joel Kiviranta | Checkers 2 (SEA) | LW/RW | 82 | 18 | 31 | 49 | 11 | 18 | 0 | 173 | 179 | 65 | 121 | 10.06% | 29 | 20.55 | 5 | 4 | 9 | 0 | 3 | 3 | 152 | 4 | 0 | 52.83% | 1 | 0 | 0.60 | 1 | 3 | 0.67 | |||
5 | Parker Kelly | Checkers 2 (SEA) | C/LW | 80 | 20 | 25 | 45 | 23 | 53 | 5 | 133 | 150 | 44 | 98 | 13.33% | 18 | 15.23 | 0 | 4 | 4 | 0 | 1 | 1 | 120 | 6 | 2 | 47.96% | 0 | 1 | 0.56 | 1 | 2 | 0.58 | |||
6 | Sheldon Dries | Checkers 2 (SEA) | C | 82 | 25 | 18 | 43 | 9 | 84 | 30 | 170 | 179 | 70 | 128 | 13.97% | 20 | 18.88 | 2 | 4 | 6 | 1 | 1 | 2 | 110 | 3 | 0 | 59.27% | 0 | 0 | 0.52 | 1 | 4 | 0.50 | |||
7 | Nathan Walker | Checkers 2 (SEA) | LW | 82 | 14 | 28 | 42 | 9 | 66 | 30 | 142 | 166 | 51 | 76 | 8.43% | 17 | 17.64 | 4 | 5 | 9 | 0 | 1 | 1 | 105 | 2 | 2 | 50.00% | 0 | 0 | 0.51 | 0 | 1 | 0.46 | |||
8 | Wayne Simmonds | Checkers 2 (SEA) | LW/RW | 82 | 13 | 17 | 30 | 18 | 77 | 15 | 148 | 98 | 37 | 71 | 13.27% | 22 | 14.91 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 2 | 0 | 50.00% | 0 | 0 | 0.37 | 0 | 0 | 0.32 | |||
9 | Hudson Fasching | Checkers 2 (SEA) | RW | 82 | 11 | 18 | 29 | 26 | 14 | 10 | 91 | 103 | 40 | 81 | 10.68% | 11 | 13.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 44.00% | 0 | 0 | 0.35 | 0 | 0 | 0.47 | |||
10 | Conor Timmins | Checkers 2 (SEA) | D | 82 | 3 | 25 | 28 | 33 | 12 | 0 | 75 | 77 | 40 | 36 | 3.90% | 71 | 23.16 | 1 | 1 | 2 | 1 | 0 | 1 | 191 | 1 | 0 | 100.00% | 0 | 0 | 0.34 | 1 | 1 | 0.47 | |||
11 | Colton White | Checkers 2 (SEA) | D | 82 | 5 | 19 | 24 | 12 | 30 | 20 | 104 | 102 | 28 | 42 | 4.90% | 76 | 23.90 | 2 | 2 | 4 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 1 | 1 | 0.34 | |||
12 | Joel Hanley | Checkers 2 (SEA) | D | 83 | 3 | 21 | 24 | 22 | 44 | 30 | 114 | 110 | 38 | 39 | 2.73% | 92 | 27.62 | 1 | 6 | 7 | 1 | 0 | 1 | 181 | 0 | 1 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.36 | |||
13 | Cale Fleury | Checkers 2 (SEA) | D | 79 | 0 | 11 | 11 | 18 | 21 | 5 | 62 | 30 | 21 | 17 | 0.00% | 31 | 16.62 | 0 | 0 | 0 | 0 | 1 | 1 | 88 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.18 | |||
14 | Scott Harrington | Checkers 2 (SEA) | D | 82 | 0 | 8 | 8 | 11 | 9 | 5 | 41 | 17 | 13 | 10 | 0.00% | 23 | 13.84 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.13 | |||
15 | Alex Belzile | Checkers 2 (SEA) | C/RW | 73 | 4 | 4 | 8 | -5 | 10 | 0 | 53 | 39 | 16 | 15 | 10.26% | 5 | 7.82 | 0 | 0 | 0 | 2 | 0 | 2 | 27 | 1 | 0 | 65.42% | 0 | 0 | 0.11 | 0 | 0 | 0.10 | |||
16 | Alex Galchenyuk | Checkers 2 (SEA) | C/LW/RW | 32 | 2 | 5 | 7 | 0 | 0 | 0 | 19 | 10 | 3 | 8 | 20.00% | 5 | 7.97 | 0 | 2 | 2 | 0 | 0 | 0 | 12 | 0 | 1 | 60.92% | 0 | 0 | 0.22 | 0 | 0 | 0.20 | |||
17 | Jake Christiansen | Checkers 2 (SEA) | D | 82 | 0 | 5 | 5 | 9 | 6 | 0 | 11 | 18 | 7 | 10 | 0.00% | 23 | 6.93 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | 0.09 | |||
18 | Evgeny Svechnikov | Checkers 2 (SEA) | LW/RW | 7 | 1 | 2 | 3 | 5 | 0 | 0 | 12 | 17 | 3 | 3 | 5.88% | 2 | 15.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 0 | 0 | 0.43 | 0 | 0 | 0.77 | |||
19 | Martin Kaut | Checkers 2 (SEA) | RW | 28 | 1 | 1 | 2 | -5 | 2 | 0 | 20 | 22 | 7 | 6 | 4.55% | 2 | 8.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 0 | 0 | 0.07 | 0 | 0 | 0.06 | |||
20 | Victor Mete | Checkers 2 (SEA) | D | 64 | 0 | 1 | 1 | 2 | 6 | 0 | 6 | 6 | 4 | 2 | 0.00% | 8 | 4.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.02 | |||
21 | Michael Del Zotto | Checkers 2 (SEA) | D | 60 | 0 | 0 | 0 | -1 | 16 | 0 | 15 | 7 | 4 | 6 | 0.00% | 6 | 8.33 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
Team Total or Average | 1490 | 226 | 378 | 604 | 257 | 681 | 195 | 1864 | 2195 | 730 | 1274 | 10.30% | 545 | 16.57 | 52 | 80 | 132 | 1368 | 6 | 9 | 15 | 1310 | 46 | 11 | 57.15% | 4201 | 493 | 428 | 2 | 5 | 0.49 | 13 | 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 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 | David Rittich | Checkers 2 (SEA) | 78 | 50 | 22 | 6 | 0.908 | 1.90 | 4655 | 4 | 16 | 147 | 1604 | 784 | 7 | 2 | 0.750 | 20 | 78 | 4 | 4 | 6 | 4 |
2 | Antti Raanta | Checkers 2 (SEA) | 4 | 1 | 2 | 0 | 0.867 | 2.99 | 201 | 0 | 0 | 10 | 75 | 33 | 0 | 1 | 0.000 | 0 | 3 | 81 | 0 | 0 | 0 |
3 | Pavel Francouz | Checkers 2 (SEA) | 4 | 1 | 1 | 0 | 0.842 | 3.38 | 160 | 0 | 0 | 9 | 57 | 30 | 0 | 0 | 1.000 | 5 | 2 | 41 | 0 | 0 | 0 |
Team Total or Average | 86 | 52 | 25 | 6 | 0.904 | 1.99 | 5017 | 4 | 16 | 166 | 1736 | 847 | 7 | 3 | 0.800 | 25 | 83 | 126 | 4 | 6 | 4 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Alex Belzile | C/RW | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Alex Galchenyuk | C/LW/RW | 29 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Antti Raanta | G | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Brett Ritchie | RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Cale Fleury | D | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Colton White | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Conor Timmins | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
David Rittich | G | 30 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Evgeny Svechnikov | LW/RW | 26 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | ||||
Gage Quinney | LW | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Hudson Fasching | RW | 27 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Jake Christiansen | D | 23 | 500,000$ | 950,000$ | RFA | ||||||
Jan Mysak | C/LW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jeremy Davies | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Joel Hanley | D | 32 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Joel Kiviranta | LW/RW | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Laurent Dauphin | C | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Martin Kaut | RW | 23 | 350,000$ | 900,000$ | RFA | ||||||
Max Pacioretty | LW | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Maxime Lagace | G | 30 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Michael Del Zotto | D | 33 | 3,100,000$ | 3,100,000$ | UFA | ||||||
Mikhail Maltsev | C/LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Nate Thompson | C | 38 | 1,950,000$ | 1,950,000$ | 1,950,000$ | UFA | |||||
Nathan Walker | LW | 29 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Noah Juulsen | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Parker Kelly | C/LW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Patrick Guay | C | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Pavel Francouz | G | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Radim Zohorna | C/LW/RW | 27 | 975,000$ | 975,000$ | UFA | ||||||
Scott Harrington | D | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Sheldon Dries | C | 29 | 2,800,000$ | 2,800,000$ | UFA | ||||||
Victor Mete | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Wayne Simmonds | LW/RW | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Xavier Ouellet | D | 29 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Zach Sawchenko | G | 28 | 975,000$ | 975,000$ | 975,000$ | UFA |
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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 | Gulls | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 3 | 7 | 8 | 1.000 | 10 | 17 | 27 | 0 | 1 | 44 | 85 | 91 | 14 | 109 | 622 | 750 | 775 | 35 | 53 | 17 | 8 | 89 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 83.3% | 9.2% | 94.3% | 103.5 | LUCKY |
2 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 19 | 29 | 0 | 1 | 44 | 85 | 91 | 14 | 61 | 622 | 750 | 775 | 35 | 47 | 17 | 22 | 45 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 1 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 90.0% | 16.4% | 93.6% | 110.0 | LUCKY |
3 | Bruins | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 44 | 85 | 91 | 14 | 57 | 622 | 750 | 775 | 35 | 46 | 18 | 16 | 47 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 60.0% | 12.3% | 84.8% | 97.1 | FUN |
4 | Americans | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 6 | -4 | 1 | 0.250 | 2 | 2 | 4 | 0 | 0 | 44 | 85 | 91 | 14 | 53 | 622 | 750 | 775 | 35 | 38 | 8 | 14 | 55 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 0.0% | 3.8% | 84.2% | 88.0 | Unlucky |
5 | Heat | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 19 | 30 | 0 | 2 | 44 | 85 | 91 | 14 | 112 | 622 | 750 | 775 | 35 | 74 | 20 | 35 | 97 | 3 | 0 | 0.00% | 10 | 4 | 60.00% | 1 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 68.8% | 9.8% | 87.8% | 97.7 | FUN |
6 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 44 | 85 | 91 | 14 | 67 | 622 | 750 | 775 | 35 | 62 | 16 | 21 | 44 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 33.3% | 9.0% | 85.5% | 94.4 | FUN |
7 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 1 | 44 | 85 | 91 | 14 | 68 | 622 | 750 | 775 | 35 | 62 | 17 | 22 | 60 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 50.0% | 7.4% | 91.9% | 99.3 | DULL |
8 | Eagles | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 11 | 0 | 6 | 0.750 | 11 | 14 | 25 | 0 | 0 | 44 | 85 | 91 | 14 | 86 | 622 | 750 | 775 | 35 | 81 | 34 | 35 | 72 | 7 | 3 | 42.86% | 16 | 5 | 68.75% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 57.1% | 12.8% | 86.4% | 99.2 | FUN |
9 | Monsters | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 44 | 85 | 91 | 14 | 49 | 622 | 750 | 775 | 35 | 40 | 15 | 27 | 42 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 66.7% | 8.2% | 92.5% | 100.7 | DULL |
10 | Stars | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 44 | 85 | 91 | 14 | 55 | 622 | 750 | 775 | 35 | 53 | 23 | 26 | 38 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 27.3% | 5.5% | 84.9% | 90.4 | Unlucky |
11 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 44 | 85 | 91 | 14 | 47 | 622 | 750 | 775 | 35 | 59 | 26 | 10 | 39 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 25.0% | 6.4% | 89.8% | 96.2 | Unlucky |
12 | Condors | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.250 | 7 | 13 | 20 | 0 | 0 | 44 | 85 | 91 | 14 | 71 | 622 | 750 | 775 | 35 | 72 | 17 | 35 | 78 | 10 | 3 | 30.00% | 10 | 4 | 60.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 44.4% | 9.9% | 87.5% | 97.4 | FUN |
13 | Checkers 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 44 | 85 | 91 | 14 | 52 | 622 | 750 | 775 | 35 | 43 | 11 | 17 | 47 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 1 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 83.3% | 11.5% | 93.0% | 104.6 | LUCKY |
14 | Reign | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 6 | 4 | 7 | 0.875 | 10 | 15 | 25 | 0 | 1 | 44 | 85 | 91 | 14 | 108 | 622 | 750 | 775 | 35 | 60 | 18 | 18 | 76 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 1 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 66.7% | 9.3% | 90.0% | 99.3 | FUN |
15 | Wild | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 0.667 | 10 | 15 | 25 | 0 | 1 | 44 | 85 | 91 | 14 | 64 | 622 | 750 | 775 | 35 | 37 | 13 | 8 | 72 | 11 | 5 | 45.45% | 4 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 62.5% | 15.6% | 91.9% | 107.5 | LUCKY |
16 | Rocket | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 4 | 1.000 | 7 | 9 | 16 | 0 | 2 | 44 | 85 | 91 | 14 | 48 | 622 | 750 | 775 | 35 | 30 | 6 | 18 | 38 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 100.0% | 14.6% | 100.0% | 114.6 | LUCKY |
17 | Admirals | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 44 | 85 | 91 | 14 | 43 | 622 | 750 | 775 | 35 | 21 | 6 | 6 | 54 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 55.6% | 11.6% | 81.0% | 92.6 | FUN |
18 | Comets | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 44 | 85 | 91 | 14 | 43 | 622 | 750 | 775 | 35 | 14 | 4 | 12 | 51 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 80.0% | 14.0% | 85.7% | 99.7 | FUN |
19 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 4 | 1.000 | 10 | 16 | 26 | 0 | 2 | 44 | 85 | 91 | 14 | 65 | 622 | 750 | 775 | 35 | 18 | 4 | 13 | 60 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 100.0% | 15.4% | 100.0% | 115.4 | LUCKY |
20 | Wolf Pack | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 9 | 3 | 5 | 0.833 | 12 | 20 | 32 | 0 | 0 | 44 | 85 | 91 | 14 | 89 | 622 | 750 | 775 | 35 | 73 | 18 | 13 | 39 | 8 | 4 | 50.00% | 4 | 2 | 50.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 53.3% | 13.5% | 87.7% | 101.2 | FUN |
21 | Belleville Senators | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 4 | 6 | 0 | 0 | 44 | 85 | 91 | 14 | 35 | 622 | 750 | 775 | 35 | 20 | 13 | 4 | 48 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 50.0% | 5.7% | 90.0% | 95.7 | Unlucky |
22 | Phantoms | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 18 | 28 | 0 | 0 | 44 | 85 | 91 | 14 | 100 | 622 | 750 | 775 | 35 | 90 | 35 | 31 | 64 | 8 | 3 | 37.50% | 8 | 2 | 75.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 53.8% | 10.0% | 91.1% | 101.1 | Unlucky |
23 | Roadrunners | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.500 | 11 | 17 | 28 | 0 | 1 | 44 | 85 | 91 | 14 | 114 | 622 | 750 | 775 | 35 | 50 | 19 | 14 | 111 | 9 | 4 | 44.44% | 7 | 2 | 71.43% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 50.0% | 9.6% | 82.0% | 91.6 | FUN |
24 | Penguins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 44 | 85 | 91 | 14 | 57 | 622 | 750 | 775 | 35 | 73 | 25 | 13 | 34 | 5 | 2 | 40.00% | 4 | 2 | 50.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 55.6% | 12.3% | 91.8% | 104.1 | LUCKY |
25 | Barracuda | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 6 | 0.750 | 8 | 13 | 21 | 0 | 2 | 44 | 85 | 91 | 14 | 84 | 622 | 750 | 775 | 35 | 39 | 20 | 14 | 91 | 12 | 2 | 16.67% | 8 | 1 | 87.50% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 85.7% | 9.5% | 94.9% | 104.4 | LUCKY |
26 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 44 | 85 | 91 | 14 | 72 | 622 | 750 | 775 | 35 | 52 | 14 | 10 | 45 | 4 | 2 | 50.00% | 5 | 2 | 60.00% | 1 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 71.4% | 9.7% | 92.3% | 102.0 | LUCKY |
27 | Crunch | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 6 | 11 | 0 | 0 | 44 | 85 | 91 | 14 | 79 | 622 | 750 | 775 | 35 | 95 | 24 | 38 | 52 | 7 | 3 | 42.86% | 14 | 5 | 64.29% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 50.0% | 6.3% | 92.6% | 99.0 | DULL |
28 | Marlies | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 44 | 85 | 91 | 14 | 58 | 622 | 750 | 775 | 35 | 87 | 13 | 40 | 29 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 66.7% | 17.2% | 95.4% | 112.6 | LUCKY |
29 | Canucks | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 19 | 31 | 0 | 0 | 44 | 85 | 91 | 14 | 108 | 622 | 750 | 775 | 35 | 111 | 29 | 88 | 93 | 6 | 1 | 16.67% | 14 | 2 | 85.71% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 68.8% | 11.1% | 93.7% | 104.8 | LUCKY |
30 | Hershey Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 44 | 85 | 91 | 14 | 68 | 622 | 750 | 775 | 35 | 79 | 25 | 18 | 53 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 21.4% | 7.4% | 86.1% | 93.4 | Unlucky |
31 | Silver Knights | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 11 | 18 | 0 | 1 | 44 | 85 | 91 | 14 | 39 | 622 | 750 | 775 | 35 | 28 | 7 | 8 | 65 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 83.3% | 17.9% | 96.4% | 114.4 | LUCKY |
_Vs Conference | 45 | 25 | 14 | 0 | 3 | 2 | 1 | 0 | 118 | 83 | 35 | 60 | 0.667 | 118 | 191 | 309 | 2 | 11 | 44 | 85 | 91 | 14 | 1133 | 622 | 750 | 775 | 35 | 788 | 268 | 271 | 1032 | 93 | 23 | 24.73% | 101 | 22 | 78.22% | 5 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 60.9% | 10.4% | 89.5% | 99.9 | FUN | |
_Since Last GM Reset | 82 | 42 | 25 | 0 | 4 | 5 | 5 | 1 | 229 | 167 | 62 | 108 | 0.659 | 229 | 368 | 597 | 3 | 16 | 44 | 85 | 91 | 14 | 2161 | 622 | 750 | 775 | 35 | 1707 | 532 | 654 | 1828 | 179 | 52 | 29.05% | 200 | 46 | 77.00% | 6 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 59.4% | 10.6% | 90.2% | 100.8 | FUN | |
Total | 82 | 42 | 25 | 0 | 4 | 5 | 5 | 1 | 229 | 167 | 62 | 108 | 0.659 | 229 | 368 | 597 | 3 | 16 | 44 | 85 | 91 | 14 | 2161 | 622 | 750 | 775 | 35 | 1707 | 532 | 654 | 1828 | 179 | 52 | 29.05% | 200 | 46 | 77.00% | 6 | 950 | 1558 | 60.98% | 795 | 1393 | 57.07% | 538 | 945 | 56.93% | 1675 | 822 | 1459 | 840 | 1822 | 905 | 59.4% | 10.6% | 90.2% | 100.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 22 |
Defensive Zone | 17 |
Puck Time | |
---|---|
Offensive Zone Start | 1558 |
Neutral Zone Start | 945 |
Defensive Zone Start | 1393 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2283 |
Faceoffs Lost | 1613 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.6 | 9.57 |
2nd Period | 16.7 | 20.31 |
3rd Period | 26.2 | 30.68 |
Overtime | 26.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 168 |
---|---|
PP Goal | 52 |
PK Goal | 6 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 30 | 21 |
Lost | 9 | 16 |
Overtime Lost | 2 | 4 |
PP Attempt | 179 |
---|---|
PP Goal | 52 |
PK Attempt | 200 |
PK Goal Against | 46 |
Home | |
---|---|
Shots For | 26.4 |
Shots Against | 20.8 |
Goals For | 2.8 |
Goals Against | 2.0 |
Hits | 22.3 |
Shots Blocked | 6.5 |
Pim | 8.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
7,017,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Charlotte | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
7,017,500$ | 6,917,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
7,412,382$ | 0$ | 6,412,321$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 48,298$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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