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Full Scoreboard »» |
Floride Panthers 36-17-8, 80pts · 2nd in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 97.00 | 58 | 42 | 79 | 77 | 71 | 88 | 84 | 76 | 79 | 83 | 78 | 80 | 79 | 73 | 76 | 78 | 50 | 73 | 26 | 6,000,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 79 | 40 | 82 | 77 | 73 | 83 | 88 | 76 | 69 | 74 | 80 | 65 | 81 | 84 | 78 | 43 | 50 | 72 | 32 | 5,750,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 69 | 41 | 78 | 76 | 66 | 82 | 78 | 74 | 55 | 75 | 80 | 67 | 76 | 75 | 78 | 46 | 50 | 70 | 27 | 3,750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 56 | 39 | 89 | 76 | 71 | 83 | 88 | 74 | 62 | 73 | 79 | 68 | 77 | 86 | 79 | 43 | 50 | 70 | 35 | 7,538,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 86 | 40 | 84 | 73 | 76 | 84 | 85 | 72 | 53 | 71 | 73 | 62 | 73 | 86 | 77 | 43 | 50 | 69 | 34 | 5,875,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 56 | 39 | 73 | 78 | 69 | 79 | 83 | 77 | 52 | 79 | 79 | 56 | 76 | 67 | 68 | 83 | 50 | 69 | 23 | 3,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 91 | 52 | 79 | 63 | 91 | 77 | 68 | 62 | 84 | 61 | 59 | 83 | 57 | 73 | 68 | 56 | 50 | 66 | 26 | 2,916,666$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 35 | 75 | 70 | 82 | 82 | 78 | 69 | 68 | 68 | 68 | 66 | 69 | 75 | 58 | 69 | 50 | 66 | 29 | 2,600,000$/1yrs | |||
![]() | 0 | C | 100.00 | 87 | 44 | 75 | 64 | 82 | 71 | 69 | 63 | 72 | 62 | 59 | 75 | 63 | 80 | 73 | 42 | 50 | 65 | 31 | 3,250,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 40 | 82 | 67 | 74 | 75 | 73 | 66 | 53 | 57 | 72 | 59 | 68 | 89 | 81 | 32 | 50 | 64 | 37 | 700,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 56 | 37 | 83 | 69 | 62 | 73 | 85 | 68 | 52 | 73 | 65 | 61 | 69 | 73 | 68 | 66 | 50 | 64 | 26 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 83 | 46 | 78 | 72 | 92 | 91 | 84 | 71 | 30 | 77 | 78 | 81 | 54 | 85 | 92 | 37 | 50 | 76 | 34 | 7,857,000$/2yrs | |||
![]() | 0 | D | 100.00 | 56 | 40 | 85 | 77 | 76 | 91 | 80 | 73 | 30 | 79 | 59 | 82 | 54 | 87 | 77 | 32 | 50 | 72 | 36 | 5,538,000$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 45 | 69 | 68 | 85 | 82 | 67 | 66 | 30 | 72 | 58 | 77 | 52 | 78 | 71 | 66 | 50 | 70 | 29 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 46 | 72 | 65 | 88 | 87 | 72 | 63 | 30 | 71 | 54 | 77 | 48 | 76 | 69 | 43 | 50 | 70 | 27 | 4,100,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 42 | 82 | 62 | 83 | 84 | 65 | 59 | 30 | 67 | 55 | 83 | 49 | 82 | 78 | 36 | 50 | 68 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 45 | 70 | 60 | 86 | 81 | 68 | 58 | 30 | 61 | 54 | 78 | 48 | 80 | 72 | 37 | 50 | 67 | 31 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 41 | 81 | 63 | 81 | 76 | 64 | 62 | 30 | 72 | 55 | 66 | 52 | 73 | 67 | 57 | 50 | 64 | 26 | 1,633,333$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 92 | 49 | 71 | 63 | 74 | 73 | 86 | 61 | 73 | 54 | 60 | 72 | 58 | 77 | 69 | 47 | 50 | 63 | 28 | 1,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 89 | 64 | 77 | 71 | 66 | 63 | 80 | 61 | 62 | 69 | 63 | 69 | 65 | 80 | 63 | 63 | 24 | 700,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 88 | 75 | 59 | 64 | 87 | 69 | 78 | 62 | 55 | 58 | 63 | 61 | 62 | 77 | 73 | 52 | 50 | 63 | 28 | 950,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 41 | 86 | 56 | 78 | 69 | 64 | 55 | 52 | 60 | 50 | 64 | 56 | 73 | 67 | 38 | 50 | 59 | 26 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 42 | 85 | 59 | 90 | 72 | 63 | 57 | 30 | 55 | 58 | 63 | 46 | 75 | 68 | 71 | 50 | 62 | 27 | 2,525,000$/1yrs | |||
TEAM AVERAGE | 99.87 | 74 | 44 | 79 | 68 | 79 | 79 | 75 | 66 | 52 | 68 | 65 | 70 | 62 | 78 | 73 | 52 | 51 | 67 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 86 | 90 | 88 | 93 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 88 | 92 | 47 | 50 | 84 | 36 | 5,000,000$/2yrs |
![]() | 0 | 100.00 | 88 | 91 | 89 | 75 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 77 | 83 | 59 | 50 | 82 | 27 | 1,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 91 | 89 | 84 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 83 | 88 | 53 | 50 | 83 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 72 | 39 | 75 | 63 | 76 | 73 | 78 | 61 | 69 | 56 | 64 | 62 | 61 | 69 | 66 | 58 | 40 | 61 | 24 | 767,500$/1yrs | |||
![]() | 0 | RW | 100.00 | 59 | 43 | 88 | 62 | 69 | 70 | 79 | 61 | 57 | 59 | 60 | 58 | 62 | 67 | 63 | 56 | 60 | 59 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 61 | 76 | 54 | 83 | 87 | 88 | 52 | 30 | 53 | 51 | 56 | 45 | 67 | 64 | 61 | 60 | 60 | 22 | 864,166$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Michel Pepin |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan Nugent-Hopkins | 0 | C | 61 | 19 | 38 | 57 | 14 | 24 | 0 | 79 | 208 | 63 | 118 | 9.13% | 34 | 21.73 | 7 | 16 | 23 | 136 | 0 | 1 | 1 | 155 | 4 | 0 | 52.15% | 1887 | 45 | 28 | 1 | 0 | 0.86 | 5 | 11 | ||
2 | Zach Parise | 0 | LW | 61 | 21 | 32 | 53 | 6 | 4 | 0 | 58 | 215 | 74 | 159 | 9.77% | 19 | 18.50 | 12 | 17 | 29 | 169 | 0 | 0 | 0 | 146 | 4 | 2 | 42.53% | 87 | 52 | 25 | 0 | 0 | 0.94 | 3 | 10 | ||
3 | T.J. Oshie | 0 | RW | 61 | 20 | 26 | 46 | 9 | 49 | 5 | 88 | 219 | 80 | 137 | 9.13% | 22 | 19.19 | 5 | 13 | 18 | 134 | 1 | 0 | 1 | 158 | 3 | 2 | 48.39% | 62 | 50 | 19 | 2 | 1 | 0.79 | 4 | 14 | ||
4 | Kevin Fiala | 0 | LW | 61 | 14 | 24 | 38 | 1 | 60 | 0 | 46 | 193 | 71 | 128 | 7.25% | 15 | 17.87 | 5 | 8 | 13 | 107 | 0 | 0 | 0 | 16 | 1 | 2 | 40.66% | 91 | 55 | 15 | 0 | 0 | 0.70 | 2 | 2 | ||
5 | Brendan Gallagher | 0 | RW | 64 | 11 | 21 | 32 | 12 | 22 | 0 | 86 | 160 | 44 | 76 | 6.88% | 23 | 17.33 | 2 | 6 | 8 | 84 | 0 | 0 | 0 | 0 | 3 | 2 | 48.05% | 77 | 47 | 12 | 0 | 0 | 0.58 | 3 | 3 | ||
6 | Dustin Brown | 0 | RW | 61 | 14 | 13 | 27 | -12 | 8 | 0 | 90 | 147 | 46 | 95 | 9.52% | 20 | 15.63 | 8 | 8 | 16 | 141 | 0 | 0 | 0 | 79 | 3 | 1 | 31.25% | 32 | 45 | 12 | 0 | 0 | 0.57 | 0 | 4 | ||
7 | Shea Weber | 0 | D | 61 | 6 | 20 | 26 | -2 | 52 | 0 | 126 | 126 | 69 | 55 | 4.76% | 93 | 28.18 | 5 | 5 | 10 | 186 | 0 | 0 | 0 | 209 | 1 | 0 | 0.00% | 0 | 52 | 52 | 0 | 0 | 0.30 | 0 | 0 | ||
8 | Luca Sbisa | 0 | D | 61 | 7 | 12 | 19 | 7 | 82 | 10 | 99 | 65 | 26 | 28 | 10.77% | 74 | 24.64 | 3 | 5 | 8 | 165 | 0 | 0 | 0 | 154 | 3 | 1 | 0.00% | 0 | 13 | 51 | 0 | 0 | 0.25 | 0 | 0 | ||
9 | Adam Lowry | 0 | C | 61 | 7 | 9 | 16 | 0 | 37 | 5 | 89 | 60 | 20 | 48 | 11.67% | 19 | 15.99 | 0 | 4 | 4 | 140 | 0 | 0 | 0 | 55 | 1 | 3 | 52.77% | 703 | 1 | 21 | 0 | 0 | 0.33 | 1 | 5 | ||
10 | Duncan Keith | 0 | D | 62 | 0 | 12 | 12 | 6 | 22 | 0 | 39 | 64 | 30 | 33 | 0.00% | 74 | 22.02 | 0 | 3 | 3 | 104 | 0 | 0 | 0 | 152 | 0 | 0 | 0.00% | 0 | 23 | 49 | 0 | 0 | 0.18 | 0 | 0 | ||
11 | Niklas Hjalmarsson | 0 | D | 61 | 2 | 10 | 12 | -1 | 23 | 5 | 46 | 58 | 17 | 19 | 3.45% | 82 | 21.56 | 2 | 2 | 4 | 132 | 0 | 0 | 0 | 175 | 1 | 1 | 0.00% | 0 | 7 | 40 | 0 | 0 | 0.18 | 0 | 0 | ||
12 | Justin Williams | 0 | RW | 61 | 1 | 7 | 8 | -1 | 6 | 0 | 21 | 61 | 25 | 46 | 1.64% | 13 | 8.51 | 0 | 0 | 0 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 43.75% | 16 | 23 | 3 | 0 | 0 | 0.31 | 1 | 1 | ||
13 | Josh Manson | 0 | D | 61 | 3 | 5 | 8 | 3 | 47 | 5 | 89 | 47 | 24 | 19 | 6.38% | 71 | 20.24 | 1 | 1 | 2 | 99 | 0 | 0 | 0 | 163 | 1 | 1 | 0.00% | 0 | 6 | 45 | 0 | 0 | 0.13 | 0 | 0 | ||
14 | Rocco Grimaldi | 0 | RW | 55 | 2 | 4 | 6 | -2 | 2 | 0 | 22 | 67 | 28 | 31 | 2.99% | 3 | 7.90 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 37.04% | 27 | 13 | 9 | 0 | 0 | 0.28 | 0 | 0 | ||
15 | Colin Wilson | 0 | C/LW | 46 | 1 | 4 | 5 | -5 | 20 | 0 | 37 | 84 | 37 | 61 | 1.19% | 13 | 12.26 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 39 | 0 | 0 | 47.06% | 17 | 11 | 9 | 0 | 0 | 0.18 | 0 | 0 | ||
16 | Korbinian Holzer | 0 | D | 61 | 0 | 4 | 4 | 2 | 28 | 0 | 64 | 26 | 8 | 9 | 0.00% | 38 | 12.86 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 3 | 26 | 0 | 0 | 0.10 | 0 | 0 | ||
17 | Zack Smith | 0 | C | 61 | 3 | 0 | 3 | -5 | 33 | 5 | 65 | 32 | 11 | 25 | 9.38% | 14 | 10.08 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 75 | 1 | 0 | 40.56% | 180 | 3 | 8 | 0 | 0 | 0.10 | 0 | 0 | ||
18 | Curtis Lazar | 0 | C | 8 | 1 | 1 | 2 | -2 | 0 | 0 | 6 | 2 | 4 | 4 | 50.00% | 1 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.69% | 26 | 1 | 7 | 0 | 0 | 0.60 | 0 | 0 | ||
19 | Scott Harrington | 0 | D | 41 | 0 | 2 | 2 | 0 | 16 | 0 | 27 | 11 | 7 | 6 | 0.00% | 15 | 11.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 8 | 0 | 0 | 0.09 | 0 | 0 | ||
20 | Derek Forbort | 0 | D | 20 | 0 | 2 | 2 | -4 | 8 | 0 | 13 | 20 | 11 | 7 | 0.00% | 27 | 20.49 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 1 | 18 | 0 | 0 | 0.10 | 0 | 0 | ||
21 | Nicolas Deslauriers | 0 | LW | 11 | 0 | 1 | 1 | 0 | 2 | 0 | 6 | 11 | 3 | 9 | 0.00% | 1 | 7.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 3 | 0 | 0 | 0.24 | 0 | 0 | ||
22 | Chris Wagner | 0 | RW | 11 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 2 | 3 | 0.00% | 0 | 7.43 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1111 | 132 | 247 | 379 | 26 | 549 | 35 | 1200 | 1878 | 700 | 1116 | 7.03% | 671 | 17.01 | 50 | 88 | 138 | 1672 | 1 | 1 | 2 | 1667 | 26 | 15 | 50.48% | 3209 | 451 | 461 | 3 | 1 | 0.40 | 19 | 50 |
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 | Philipp Grubauer | 45 | 28 | 11 | 6 | 0.931 | 2.00 | 2644 | 2 | 3 | 88 | 1270 | 590 | 1 | 0 | 0.611 | 36 | 45 | 16 | 11 | 6 | 0 | |
2 | Pekka Rinne | 54 | 27 | 21 | 5 | 0.933 | 1.90 | 3224 | 10 | 2 | 102 | 1521 | 686 | 5 | 2 | 0.806 | 36 | 53 | 9 | 11 | 7 | 4 | |
Team Total or Average | 99 | 55 | 32 | 11 | 0.932 | 1.94 | 5869 | 12 | 5 | 190 | 2791 | 1276 | 6 | 2 | 0.708 | 72 | 98 | 25 | 22 | 13 | 4 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 63 | 19 | 22 | 22 | 0 | 68 | 27 | 18 | 24 | 7 | 2 | 28.57% | 9 | 5 | 44.44% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 38 | 21 | 45 | 18 | 35 | 17 | 42.9% | 7.9% | 86.8% | 94.7 | Unlucky | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 2 | 4 | 0 | 68 | 20 | 21 | 27 | 0 | 63 | 10 | 18 | 40 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 43 | 25 | 41 | 17 | 35 | 17 | 77.8% | 11.8% | 93.7% | 105.4 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 4 | 7 | 0 | 1 | 0 | 0 | 3 | 0 | 64 | 20 | 20 | 24 | 0 | 49 | 24 | 4 | 41 | 7 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 26 | 39 | 18 | 36 | 17 | 75.0% | 4.7% | 98.0% | 102.6 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 30 | 13 | 12 | 5 | 0 | 15 | 3 | 2 | 18 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 22 | 13 | 18 | 9 | 18 | 10 | 75.0% | 10.0% | 93.3% | 103.3 | LUCKY | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 1 | 2 | 87 | 29 | 33 | 24 | 4 | 107 | 42 | 34 | 60 | 7 | 0 | 0.00% | 17 | 4 | 76.47% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 59 | 32 | 75 | 27 | 50 | 23 | 66.7% | 6.9% | 93.5% | 100.4 | DULL | |
6 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 9 | 7 | 2 | 5 | 0.833 | 9 | 18 | 27 | 0 | 0 | 2 | 2 | 4 | 1 | 90 | 28 | 28 | 30 | 7 | 95 | 35 | 41 | 56 | 9 | 2 | 22.22% | 17 | 3 | 82.35% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 67 | 38 | 66 | 29 | 52 | 24 | 63.6% | 10.0% | 92.6% | 102.6 | LUCKY | |
7 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 3 | 2 | 86 | 25 | 29 | 32 | 3 | 88 | 33 | 10 | 59 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 60 | 33 | 70 | 28 | 54 | 26 | 41.7% | 5.8% | 90.9% | 96.7 | Unlucky | |
8 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.250 | 5 | 6 | 11 | 0 | 0 | 3 | 1 | 1 | 0 | 109 | 22 | 39 | 48 | 0 | 120 | 42 | 40 | 69 | 10 | 2 | 20.00% | 20 | 2 | 90.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 79 | 41 | 89 | 38 | 71 | 33 | 33.3% | 4.6% | 93.3% | 97.9 | DULL | |
9 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | -4 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 44 | 11 | 26 | 7 | 0 | 56 | 34 | 18 | 34 | 8 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 37 | 18 | 47 | 19 | 36 | 17 | 20.0% | 2.3% | 91.1% | 93.3 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 3 | 3 | 1 | 1 | 75 | 32 | 18 | 24 | 5 | 73 | 19 | 12 | 32 | 9 | 4 | 44.44% | 6 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 45 | 26 | 43 | 18 | 35 | 18 | 37.5% | 9.3% | 93.2% | 102.5 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 51 | 14 | 11 | 26 | 0 | 59 | 13 | 20 | 51 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 1 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 39 | 20 | 41 | 20 | 38 | 18 | 55.6% | 11.8% | 89.8% | 101.6 | FUN | |
12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 0 | 1 | 54 | 21 | 21 | 11 | 1 | 64 | 17 | 13 | 33 | 6 | 1 | 16.67% | 4 | 2 | 50.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 40 | 23 | 45 | 18 | 34 | 16 | 37.5% | 7.4% | 89.1% | 96.5 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 30 | 14 | 9 | 7 | 0 | 21 | 6 | 8 | 16 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 22 | 13 | 20 | 9 | 17 | 8 | 100.0% | 3.3% | 100.0% | 103.3 | DULL | |
14 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 15 | 25 | 0 | 0 | 2 | 6 | 2 | 0 | 92 | 27 | 40 | 22 | 6 | 64 | 21 | 36 | 58 | 11 | 5 | 45.45% | 18 | 5 | 72.22% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 64 | 33 | 61 | 32 | 59 | 28 | 62.5% | 10.9% | 87.5% | 98.4 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 1 | 5 | 0 | 65 | 13 | 25 | 27 | 0 | 69 | 31 | 24 | 39 | 7 | 4 | 57.14% | 12 | 3 | 75.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 41 | 23 | 45 | 17 | 32 | 15 | 80.0% | 12.3% | 94.2% | 106.5 | LUCKY | |
16 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 32 | 9 | 11 | 11 | 4 | 30 | 17 | 10 | 21 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 20 | 10 | 23 | 10 | 20 | 10 | 33.3% | 12.5% | 90.0% | 102.5 | FUN | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 60 | 14 | 26 | 20 | 0 | 59 | 18 | 14 | 40 | 8 | 3 | 37.50% | 7 | 2 | 71.43% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 25 | 39 | 18 | 35 | 16 | 100.0% | 8.3% | 96.6% | 104.9 | DULL | |
18 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 7 | 6 | 1 | 5 | 0.833 | 7 | 9 | 16 | 0 | 0 | 1 | 3 | 1 | 4 | 98 | 41 | 31 | 21 | 17 | 92 | 37 | 30 | 56 | 6 | 2 | 33.33% | 15 | 2 | 86.67% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 72 | 43 | 66 | 30 | 56 | 25 | 55.6% | 7.1% | 93.5% | 100.6 | DULL | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 52 | 15 | 17 | 20 | 0 | 54 | 18 | 31 | 29 | 11 | 2 | 18.18% | 8 | 1 | 87.50% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 40 | 21 | 44 | 19 | 34 | 17 | 0.0% | 3.8% | 87.0% | 90.9 | Unlucky | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 1 | 0 | 1 | 1 | 2 | 0 | 72 | 28 | 26 | 18 | 0 | 69 | 23 | 16 | 38 | 5 | 3 | 60.00% | 8 | 1 | 87.50% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 41 | 24 | 44 | 17 | 34 | 16 | 14.3% | 5.6% | 89.9% | 95.4 | Unlucky | |
21 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 4 | 4 | 6 | 1.000 | 8 | 10 | 18 | 0 | 0 | 3 | 2 | 2 | 2 | 110 | 39 | 36 | 33 | 5 | 85 | 27 | 12 | 63 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 75 | 45 | 57 | 25 | 52 | 25 | 70.0% | 7.3% | 95.3% | 102.6 | DULL | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 0 | 5 | 2 | 0 | 73 | 24 | 25 | 24 | 0 | 57 | 22 | 14 | 51 | 12 | 4 | 33.33% | 7 | 1 | 85.71% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 25 | 38 | 17 | 36 | 18 | 42.9% | 9.6% | 91.2% | 100.8 | LUCKY | |
23 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 66 | 24 | 21 | 21 | 0 | 58 | 18 | 18 | 39 | 7 | 1 | 14.29% | 9 | 1 | 88.89% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 25 | 42 | 18 | 35 | 17 | 60.0% | 6.1% | 94.8% | 100.9 | DULL | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 2 | 1 | 1 | 0 | 55 | 20 | 25 | 10 | 0 | 44 | 23 | 12 | 45 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 41 | 22 | 38 | 20 | 40 | 19 | 75.0% | 7.3% | 97.7% | 105.0 | DULL | |
25 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 1 | 3 | 5 | 72 | 15 | 22 | 31 | 15 | 68 | 17 | 39 | 41 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 48 | 28 | 44 | 18 | 37 | 19 | 70.0% | 9.7% | 92.6% | 102.4 | LUCKY | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 33 | 8 | 16 | 9 | 3 | 31 | 9 | 6 | 24 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 21 | 10 | 23 | 10 | 19 | 9 | 0.0% | 3.0% | 93.5% | 96.6 | DULL | |
27 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 3 | 6 | 6 | 1.000 | 9 | 14 | 23 | 0 | 1 | 1 | 2 | 5 | 1 | 83 | 28 | 19 | 31 | 7 | 88 | 18 | 29 | 69 | 16 | 7 | 43.75% | 12 | 1 | 91.67% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 65 | 37 | 65 | 29 | 53 | 26 | 50.0% | 10.8% | 96.6% | 107.4 | LUCKY | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 1 | 1 | 0 | 0 | 38 | 13 | 7 | 18 | 0 | 36 | 9 | 12 | 20 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 20 | 11 | 21 | 9 | 18 | 8 | 50.0% | 5.3% | 88.9% | 94.2 | Unlucky | |
29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 7 | 7 | 13 | 4 | 19 | 5 | 8 | 30 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 22 | 11 | 20 | 11 | 22 | 9 | 33.3% | 3.4% | 89.5% | 92.9 | Unlucky | |
_Vs Division | 18 | 5 | 6 | 0 | 2 | 1 | 2 | 2 | 37 | 41 | -4 | 21 | 0.583 | 37 | 58 | 95 | 0 | 1 | 7 | 14 | 12 | 6 | 544 | 175 | 182 | 177 | 25 | 546 | 200 | 164 | 318 | 52 | 10 | 19.23% | 76 | 15 | 80.26% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 386 | 221 | 395 | 172 | 321 | 153 | 50.9% | 6.8% | 92.5% | 99.3 | DULL | |
_Vs Conference | 39 | 13 | 11 | 0 | 2 | 1 | 8 | 4 | 93 | 88 | 5 | 51 | 0.654 | 93 | 141 | 234 | 1 | 2 | 20 | 32 | 31 | 19 | 1221 | 398 | 405 | 392 | 70 | 1188 | 400 | 352 | 738 | 119 | 30 | 25.21% | 155 | 30 | 80.65% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 846 | 484 | 857 | 371 | 699 | 338 | 52.1% | 7.6% | 92.6% | 100.2 | DULL | |
_Since Last GM Reset | 61 | 25 | 17 | 0 | 2 | 2 | 9 | 6 | 146 | 134 | 12 | 80 | 0.656 | 146 | 232 | 378 | 2 | 4 | 32 | 50 | 53 | 22 | 1881 | 593 | 643 | 616 | 81 | 1801 | 618 | 549 | 1196 | 207 | 50 | 24.15% | 246 | 45 | 81.71% | 1 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 1310 | 738 | 1322 | 582 | 1106 | 536 | 51.9% | 7.8% | 92.6% | 100.3 | DULL | |
Total | 61 | 25 | 17 | 0 | 2 | 2 | 9 | 6 | 146 | 134 | 12 | 80 | 0.656 | 146 | 232 | 378 | 2 | 4 | 32 | 50 | 53 | 22 | 1881 | 593 | 643 | 616 | 81 | 1801 | 618 | 549 | 1196 | 207 | 50 | 24.15% | 246 | 45 | 81.71% | 1 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 1310 | 738 | 1322 | 582 | 1106 | 536 | 51.9% | 7.8% | 92.6% | 100.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1508 |
Neutral Zone Start | 784 |
Defensive Zone Start | 1411 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1863 |
Faceoffs Lost | 1840 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.4 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 93 |
---|---|
PP Goal | 50 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 17 | 19 |
Lost | 7 | 10 |
Overtime Lost | 6 | 2 |
PP Attempt | 207 |
---|---|
PP Goal | 50 |
PK Attempt | 246 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 30.8 |
Shots Against | 29.5 |
Goals For | 2.4 |
Goals Against | 2.2 |
Hits | 19.6 |
Shots Blocked | 10.1 |
Pim | 9.0 |
Projected Total Cap Hit | 80,732,999$ |
Projected Cap Space | 767,001$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 55,652,360$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Panthers Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 26 | 2,916,666$ | 2,916,666$ | 2,916,666$ | ||||||
Brendan Gallagher ![]() | RW | 27 | 3,750,000$ | 3,750,000$ | |||||||
Chris Wagner ![]() | RW | 28 | 1,250,000$ | 1,250,000$ | |||||||
Colin Wilson ![]() | C/LW | 29 | 2,600,000$ | 2,600,000$ | |||||||
Curtis Lazar ![]() | C | 24 | 700,000$ | 700,000$ | |||||||
Derek Forbort ![]() | D | 27 | 2,525,000$ | 2,525,000$ | |||||||
Duncan Keith ![]() | D | 36 | 5,538,000$ | 5,538,000$ | 5,538,000$ | ||||||
Dustin Brown ![]() | RW | 34 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | |||||
Josh Manson ![]() | D | 27 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | |||||
Justin Williams ![]() | RW | 37 | 700,000$ | 700,000$ | |||||||
Kevin Fiala ![]() | LW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Korbinian Holzer ![]() | D | 31 | 850,000$ | 850,000$ | |||||||
Luca Sbisa ![]() | D | 29 | 750,000$ | 750,000$ | |||||||
Nicolas Deslauriers ![]() | LW | 28 | 950,000$ | 950,000$ | |||||||
Niklas Hjalmarsson ![]() | D | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Patrick Russell ![]() | RW | 26 | 700,000$ | 700,000$ | |||||||
Pekka Rinne ![]() | G | 36 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Philipp Grubauer ![]() | G | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Rocco Grimaldi ![]() | RW | 26 | 1,000,000$ | 1,000,000$ | 2,000,000$ | ||||||
Ryan Nugent-Hopkins ![]() | C | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Scott Harrington ![]() | D | 26 | 1,633,333$ | 1,633,333$ | 1,633,333$ | 1,633,333$ | |||||
Shea Weber ![]() | D | 34 | 7,857,000$ | 7,857,000$ | 7,857,000$ | ||||||
T.J. Oshie ![]() | RW | 32 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | ||
Zach Parise ![]() | LW | 35 | 7,538,000$ | 7,538,000$ | 7,538,000$ | ||||||
Zack Smith ![]() | C | 31 | 3,250,000$ | 3,250,000$ | 3,250,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 63 | 19 | 22 | 22 | 0 | 68 | 27 | 18 | 24 | 7 | 2 | 28.57% | 9 | 5 | 44.44% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 38 | 21 | 45 | 18 | 35 | 17 | 42.9% | 7.9% | 86.8% | 94.7 | Unlucky | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 2 | 4 | 0 | 68 | 20 | 21 | 27 | 0 | 63 | 10 | 18 | 40 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 43 | 25 | 41 | 17 | 35 | 17 | 77.8% | 11.8% | 93.7% | 105.4 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 4 | 7 | 0 | 1 | 0 | 0 | 3 | 0 | 64 | 20 | 20 | 24 | 0 | 49 | 24 | 4 | 41 | 7 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 26 | 39 | 18 | 36 | 17 | 75.0% | 4.7% | 98.0% | 102.6 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 30 | 13 | 12 | 5 | 0 | 15 | 3 | 2 | 18 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 22 | 13 | 18 | 9 | 18 | 10 | 75.0% | 10.0% | 93.3% | 103.3 | LUCKY | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 1 | 2 | 87 | 29 | 33 | 24 | 4 | 107 | 42 | 34 | 60 | 7 | 0 | 0.00% | 17 | 4 | 76.47% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 59 | 32 | 75 | 27 | 50 | 23 | 66.7% | 6.9% | 93.5% | 100.4 | DULL | |
6 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 9 | 7 | 2 | 5 | 0.833 | 9 | 18 | 27 | 0 | 0 | 2 | 2 | 4 | 1 | 90 | 28 | 28 | 30 | 7 | 95 | 35 | 41 | 56 | 9 | 2 | 22.22% | 17 | 3 | 82.35% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 67 | 38 | 66 | 29 | 52 | 24 | 63.6% | 10.0% | 92.6% | 102.6 | LUCKY | |
7 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 3 | 2 | 86 | 25 | 29 | 32 | 3 | 88 | 33 | 10 | 59 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 60 | 33 | 70 | 28 | 54 | 26 | 41.7% | 5.8% | 90.9% | 96.7 | Unlucky | |
8 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.250 | 5 | 6 | 11 | 0 | 0 | 3 | 1 | 1 | 0 | 109 | 22 | 39 | 48 | 0 | 120 | 42 | 40 | 69 | 10 | 2 | 20.00% | 20 | 2 | 90.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 79 | 41 | 89 | 38 | 71 | 33 | 33.3% | 4.6% | 93.3% | 97.9 | DULL | |
9 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | -4 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 44 | 11 | 26 | 7 | 0 | 56 | 34 | 18 | 34 | 8 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 37 | 18 | 47 | 19 | 36 | 17 | 20.0% | 2.3% | 91.1% | 93.3 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 3 | 3 | 1 | 1 | 75 | 32 | 18 | 24 | 5 | 73 | 19 | 12 | 32 | 9 | 4 | 44.44% | 6 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 45 | 26 | 43 | 18 | 35 | 18 | 37.5% | 9.3% | 93.2% | 102.5 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 51 | 14 | 11 | 26 | 0 | 59 | 13 | 20 | 51 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 1 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 39 | 20 | 41 | 20 | 38 | 18 | 55.6% | 11.8% | 89.8% | 101.6 | FUN | |
12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 0 | 1 | 54 | 21 | 21 | 11 | 1 | 64 | 17 | 13 | 33 | 6 | 1 | 16.67% | 4 | 2 | 50.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 40 | 23 | 45 | 18 | 34 | 16 | 37.5% | 7.4% | 89.1% | 96.5 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 30 | 14 | 9 | 7 | 0 | 21 | 6 | 8 | 16 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 22 | 13 | 20 | 9 | 17 | 8 | 100.0% | 3.3% | 100.0% | 103.3 | DULL | |
14 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 15 | 25 | 0 | 0 | 2 | 6 | 2 | 0 | 92 | 27 | 40 | 22 | 6 | 64 | 21 | 36 | 58 | 11 | 5 | 45.45% | 18 | 5 | 72.22% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 64 | 33 | 61 | 32 | 59 | 28 | 62.5% | 10.9% | 87.5% | 98.4 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 1 | 5 | 0 | 65 | 13 | 25 | 27 | 0 | 69 | 31 | 24 | 39 | 7 | 4 | 57.14% | 12 | 3 | 75.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 41 | 23 | 45 | 17 | 32 | 15 | 80.0% | 12.3% | 94.2% | 106.5 | LUCKY | |
16 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 32 | 9 | 11 | 11 | 4 | 30 | 17 | 10 | 21 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 20 | 10 | 23 | 10 | 20 | 10 | 33.3% | 12.5% | 90.0% | 102.5 | FUN | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 60 | 14 | 26 | 20 | 0 | 59 | 18 | 14 | 40 | 8 | 3 | 37.50% | 7 | 2 | 71.43% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 25 | 39 | 18 | 35 | 16 | 100.0% | 8.3% | 96.6% | 104.9 | DULL | |
18 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 7 | 6 | 1 | 5 | 0.833 | 7 | 9 | 16 | 0 | 0 | 1 | 3 | 1 | 4 | 98 | 41 | 31 | 21 | 17 | 92 | 37 | 30 | 56 | 6 | 2 | 33.33% | 15 | 2 | 86.67% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 72 | 43 | 66 | 30 | 56 | 25 | 55.6% | 7.1% | 93.5% | 100.6 | DULL | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 52 | 15 | 17 | 20 | 0 | 54 | 18 | 31 | 29 | 11 | 2 | 18.18% | 8 | 1 | 87.50% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 40 | 21 | 44 | 19 | 34 | 17 | 0.0% | 3.8% | 87.0% | 90.9 | Unlucky | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 1 | 0 | 1 | 1 | 2 | 0 | 72 | 28 | 26 | 18 | 0 | 69 | 23 | 16 | 38 | 5 | 3 | 60.00% | 8 | 1 | 87.50% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 41 | 24 | 44 | 17 | 34 | 16 | 14.3% | 5.6% | 89.9% | 95.4 | Unlucky | |
21 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 4 | 4 | 6 | 1.000 | 8 | 10 | 18 | 0 | 0 | 3 | 2 | 2 | 2 | 110 | 39 | 36 | 33 | 5 | 85 | 27 | 12 | 63 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 75 | 45 | 57 | 25 | 52 | 25 | 70.0% | 7.3% | 95.3% | 102.6 | DULL | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 0 | 5 | 2 | 0 | 73 | 24 | 25 | 24 | 0 | 57 | 22 | 14 | 51 | 12 | 4 | 33.33% | 7 | 1 | 85.71% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 25 | 38 | 17 | 36 | 18 | 42.9% | 9.6% | 91.2% | 100.8 | LUCKY | |
23 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 66 | 24 | 21 | 21 | 0 | 58 | 18 | 18 | 39 | 7 | 1 | 14.29% | 9 | 1 | 88.89% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 44 | 25 | 42 | 18 | 35 | 17 | 60.0% | 6.1% | 94.8% | 100.9 | DULL | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 2 | 1 | 1 | 0 | 55 | 20 | 25 | 10 | 0 | 44 | 23 | 12 | 45 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 41 | 22 | 38 | 20 | 40 | 19 | 75.0% | 7.3% | 97.7% | 105.0 | DULL | |
25 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 1 | 3 | 5 | 72 | 15 | 22 | 31 | 15 | 68 | 17 | 39 | 41 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 48 | 28 | 44 | 18 | 37 | 19 | 70.0% | 9.7% | 92.6% | 102.4 | LUCKY | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 33 | 8 | 16 | 9 | 3 | 31 | 9 | 6 | 24 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 21 | 10 | 23 | 10 | 19 | 9 | 0.0% | 3.0% | 93.5% | 96.6 | DULL | |
27 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 3 | 6 | 6 | 1.000 | 9 | 14 | 23 | 0 | 1 | 1 | 2 | 5 | 1 | 83 | 28 | 19 | 31 | 7 | 88 | 18 | 29 | 69 | 16 | 7 | 43.75% | 12 | 1 | 91.67% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 65 | 37 | 65 | 29 | 53 | 26 | 50.0% | 10.8% | 96.6% | 107.4 | LUCKY | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 1 | 1 | 0 | 0 | 38 | 13 | 7 | 18 | 0 | 36 | 9 | 12 | 20 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 20 | 11 | 21 | 9 | 18 | 8 | 50.0% | 5.3% | 88.9% | 94.2 | Unlucky | |
29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 7 | 7 | 13 | 4 | 19 | 5 | 8 | 30 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 22 | 11 | 20 | 11 | 22 | 9 | 33.3% | 3.4% | 89.5% | 92.9 | Unlucky | |
_Vs Division | 18 | 5 | 6 | 0 | 2 | 1 | 2 | 2 | 37 | 41 | -4 | 21 | 0.583 | 37 | 58 | 95 | 0 | 1 | 7 | 14 | 12 | 6 | 544 | 175 | 182 | 177 | 25 | 546 | 200 | 164 | 318 | 52 | 10 | 19.23% | 76 | 15 | 80.26% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 386 | 221 | 395 | 172 | 321 | 153 | 50.9% | 6.8% | 92.5% | 99.3 | DULL | |
_Vs Conference | 39 | 13 | 11 | 0 | 2 | 1 | 8 | 4 | 93 | 88 | 5 | 51 | 0.654 | 93 | 141 | 234 | 1 | 2 | 20 | 32 | 31 | 19 | 1221 | 398 | 405 | 392 | 70 | 1188 | 400 | 352 | 738 | 119 | 30 | 25.21% | 155 | 30 | 80.65% | 0 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 846 | 484 | 857 | 371 | 699 | 338 | 52.1% | 7.6% | 92.6% | 100.2 | DULL | |
_Since Last GM Reset | 61 | 25 | 17 | 0 | 2 | 2 | 9 | 6 | 146 | 134 | 12 | 80 | 0.656 | 146 | 232 | 378 | 2 | 4 | 32 | 50 | 53 | 22 | 1881 | 593 | 643 | 616 | 81 | 1801 | 618 | 549 | 1196 | 207 | 50 | 24.15% | 246 | 45 | 81.71% | 1 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 1310 | 738 | 1322 | 582 | 1106 | 536 | 51.9% | 7.8% | 92.6% | 100.3 | DULL | |
Total | 61 | 25 | 17 | 0 | 2 | 2 | 9 | 6 | 146 | 134 | 12 | 80 | 0.656 | 146 | 232 | 378 | 2 | 4 | 32 | 50 | 53 | 22 | 1881 | 593 | 643 | 616 | 81 | 1801 | 618 | 549 | 1196 | 207 | 50 | 24.15% | 246 | 45 | 81.71% | 1 | 767 | 1508 | 50.86% | 706 | 1411 | 50.04% | 390 | 784 | 49.74% | 1310 | 738 | 1322 | 582 | 1106 | 536 | 51.9% | 7.8% | 92.6% | 100.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1508 |
Neutral Zone Start | 784 |
Defensive Zone Start | 1411 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1863 |
Faceoffs Lost | 1840 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.4 | 30.68 |
Overtime | 31.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 93 |
---|---|
PP Goal | 50 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 17 | 19 |
Lost | 7 | 10 |
Overtime Lost | 6 | 2 |
PP Attempt | 207 |
---|---|
PP Goal | 50 |
PK Attempt | 246 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 30.8 |
Shots Against | 29.5 |
Goals For | 2.4 |
Goals Against | 2.2 |
Hits | 19.6 |
Shots Blocked | 10.1 |
Pim | 9.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Panthers1,Lightning2 | RECAP | ||
2020-10-27 | @ | Lightning2,Panthers1 | RECAP | ||
2020-10-30 | @ | Hurricanes2,Panthers3 (SO) | RECAP | ||
2020-11-02 | @ | Panthers2,Sabres1 (SO) | RECAP | ||
2020-11-03 | @ | Panthers1,Islanders4 | RECAP | ||
2020-11-05 | @ | Panthers2,Devils1 (SO) | RECAP | ||
2020-11-09 | @ | Avalanche2,Panthers1 (OT) | RECAP | ||
2020-11-10 | @ | Panthers5,Predators2 | RECAP | ||
2020-11-13 | @ | Penguins5,Panthers4 (SO) | RECAP | ||
2020-11-15 | @ | Panthers2,Flames4 | RECAP | ||
2020-11-18 | @ | Panthers3,Oilers1 | RECAP | ||
2020-11-19 | @ | Panthers1,Canucks3 | RECAP | ||
2020-11-21 | @ | Panthers0,Avalanche3 | RECAP | ||
2020-11-24 | @ | Red Wings3,Panthers2 (SO) | RECAP | ||
2020-11-29 | @ | Capitals4,Panthers3 (SO) | RECAP | ||
2020-12-01 | @ | Panthers3,Islanders2 (SO) | RECAP | ||
2020-12-02 | @ | Panthers2,Rangers4 | RECAP | ||
2020-12-04 | @ | Panthers3,Bruins5 | RECAP | ||
2020-12-06 | @ | Jets3,Panthers4 (SO) | RECAP | ||
2020-12-08 | @ | Rangers3,Panthers2 | RECAP | ||
2020-12-11 | @ | Flyers4,Panthers1 | RECAP | ||
2020-12-13 | @ | Ducks2,Panthers3 | RECAP | ||
2020-12-15 | @ | Panthers2,Hurricanes1 | RECAP | ||
2020-12-16 | @ | Sabres2,Panthers3 (SO) | RECAP | ||
2020-12-19 | @ | Panthers4,Capitals1 | RECAP | ||
2020-12-22 | @ | Predators2,Panthers3 | RECAP | ||
2020-12-25 | @ | Wild3,Panthers2 | RECAP | ||
2020-12-29 | @ | Blue Jackets2,Panthers3 | RECAP | ||
2020-12-30 | @ | Sharks5,Panthers1 | RECAP | ||
2021-01-01 | @ | Lightning3,Panthers1 | RECAP | ||
2021-01-03 | @ | Islanders1,Panthers2 | RECAP | ||
2021-01-05 | @ | Bruins4,Panthers2 | RECAP | ||
2021-01-07 | @ | Senators2,Panthers1 (OT) | RECAP | ||
2021-01-11 | @ | Stars0,Panthers1 | RECAP | ||
2021-01-12 | @ | Panthers4,Hurricanes0 | RECAP | ||
2021-01-14 | @ | Panthers2,Lightning1 | RECAP | ||
2021-01-19 | @ | Red Wings2,Panthers3 (OT) | RECAP | ||
2021-01-20 | @ | Canadiens1,Panthers2 | RECAP | ||
2021-01-22 | @ | Panthers3,Blue Jackets1 | RECAP | ||
2021-01-24 | @ | Panthers3,Senators1 | RECAP | ||
2021-01-26 | @ | Panthers2,Sabres3 (SO) | RECAP | ||
2021-01-27 | @ | Panthers3,Penguins1 | RECAP | ||
2021-01-29 | @ | Coyotes1,Panthers3 | RECAP | ||
2021-01-31 | @ | Canucks3,Panthers5 | RECAP | ||
2021-02-03 | @ | Maple Leafs1,Panthers2 (OT) | RECAP | ||
2021-02-07 | @ | Kings1,Panthers3 | RECAP | ||
2021-02-09 | @ | Panthers4,Red Wings2 | RECAP | ||
2021-02-11 | @ | Panthers5,Wild2 | RECAP | ||
2021-02-12 | @ | Panthers1,Blackhawks2 (SO) | RECAP | ||
2021-02-23 | @ | Panthers1,Canadiens0 | RECAP | ||
2021-02-25 | @ | Panthers2,Maple Leafs6 | RECAP | ||
2021-02-26 | @ | Panthers2,Blue Jackets1 (SO) | RECAP | ||
2021-02-28 | @ | Golden Knights2,Panthers1 (SO) | RECAP | ||
2021-03-02 | @ | Penguins2,Panthers3 | RECAP | ||
2021-03-04 | @ | Panthers1,Flyers2 | RECAP | ||
2021-03-05 | @ | Panthers5,Devils4 (SO) | RECAP | ||
2021-03-07 | @ | Flyers2,Panthers3 (SO) | RECAP | ||
2021-03-09 | @ | Oilers1,Panthers2 | RECAP | ||
2021-03-11 | @ | Panthers1,Sharks2 | RECAP | ||
2021-03-13 | @ | Panthers5,Ducks2 | RECAP | ||
2021-03-14 | @ | Panthers1,Kings0 | RECAP | ||
2021-03-16 | @ | ||||
2021-03-19 | @ | ||||
2021-03-21 | @ | ||||
2021-03-23 | @ | ||||
2021-03-24 | @ | ||||
2021-03-28 | @ | ||||
2021-03-30 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-06 | @ | ||||
2021-04-08 | @ | ||||
2021-04-09 | @ | ||||
2021-04-11 | @ | ||||
2021-04-13 | @ | ||||
2021-04-15 | @ | ||||
2021-04-16 | @ | ||||
2021-04-18 | @ | ||||
2021-04-20 | @ | ||||
2021-04-22 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,732,999$ | 0$ | 80,732,999$ | 767,001$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bank Atlantic Center | |
City | Floride | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 171750 | 142600 | 56199 | 113391 | 28477 |
Attendance PCT | 95.42% | 95.07% | 93.67% | 94.49% | 94.92% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
11 | 17081 - 94.89% | 615,878$ | 18,476,352$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,732,999$ | 80,732,999$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
55,652,360$ | 80,732,999$ | 55,652,360$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,774,662$ | 43 | 434,048$ | 18,664,064$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
18,664,064$ | 80,732,999$ | -359,503,107$ | -371,392,509$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo flo 2021 | |||||
2 ballo flo 2021 | |||||
Aaron Irving | |||||
Adam Wilsby | 2020 | 114 | |||
Andrei Altybarmakyan | |||||
Brendan Burke | |||||
Brooks Orpik | Link | ||||
Cal O'Reilley | |||||
Chris Kelly | |||||
Cooper Moore | 2019 | 139 | |||
Dakota Joshua | |||||
Daniel Walcott | |||||
Dennis Busby | 2018 | 148 | |||
Dominik Lakatos | |||||
Emerson Etem | |||||
Jack Kopacka | 2016 | 92 | |||
Jack Rathbone | |||||
Joe Labate | |||||
John Adams | |||||
Josh Gorges | |||||
Justin Kirkland | |||||
Karlis Cukste | |||||
Kasper Kotkansalo | |||||
Leon Gawanke | |||||
Linus Nassen | 2016 | 103 | |||
Lukas Rousek | 2019 | 170 | |||
Luke Henman | 2018 | 104 | |||
Marcus Karlstrom | |||||
Matej Pekar | 2018 | 87 | |||
Max Zimmer | 2016 | 117 | |||
Maxim Denezhkin | 2019 | 201 | |||
Miska Kukkonen | 2018 | 106 | |||
Mitch Reinke | |||||
Mitchell Heard | |||||
Nate Schnarr | |||||
Niklas Hansson | |||||
Nikolaj Krag Christensen | 2016 | 207 | |||
Noah Carroll | 2016 | 177 | |||
Patrick Sanvido | |||||
Petter Hansson | |||||
Pierre-Alexandre Parenteau | |||||
Ryan Bourque | |||||
Ryan Kujawinski | |||||
Sergei Boikov | |||||
Sergey Zborovskiy | |||||
Torrey Mitchell | |||||
Ty Taylor | 2018 | 210 | |||
Ville Rasanen | |||||
Xavier Simoneau | 2020 | 217 | |||
Yegor Rykov | 2016 | 147 | |||
Zachary Emond | 2018 | 179 | |||
Zachary Nagelvoort | |||||
daniel oregan | |||||
max gortz |
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