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Full Scoreboard »» |
Floride Panthers 28-20-8, 64pts · 9th 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 | 99.00 | 63 | 42 | 85 | 87 | 73 | 76 | 89 | 80 | 80 | 70 | 64 | 71 | 84 | 78 | 82 | 71 | 50 | 0 | 31 | 7,800,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 88 | 93 | 80 | 77 | 74 | 48 | 65 | 64 | 75 | 58 | 58 | 69 | 25 | 68 | 71 | 64 | 50 | 0 | 32 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 76 | 73 | 83 | 63 | 73 | 60 | 60 | 62 | 50 | 62 | 57 | 65 | 54 | 46 | 46 | 62 | 50 | 0 | 27 | 775,000$/1yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 63 | 42 | 89 | 83 | 75 | 73 | 98 | 71 | 92 | 70 | 70 | 82 | 63 | 76 | 79 | 74 | 50 | 0 | 29 | 5,625,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 96 | 99 | 60 | 73 | 84 | 51 | 87 | 62 | 36 | 55 | 55 | 61 | 25 | 74 | 75 | 61 | 50 | 0 | 32 | 1,750,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 65 | 42 | 97 | 80 | 68 | 70 | 88 | 74 | 35 | 65 | 64 | 73 | 37 | 73 | 74 | 69 | 50 | 0 | 29 | 4,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 45 | 91 | 81 | 82 | 63 | 95 | 65 | 84 | 63 | 59 | 84 | 37 | 73 | 75 | 69 | 50 | 0 | 29 | 3,250,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 85 | 99 | 62 | 69 | 91 | 63 | 76 | 66 | 87 | 62 | 70 | 79 | 25 | 63 | 64 | 70 | 50 | 0 | 28 | 775,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 78 | 58 | 89 | 84 | 70 | 66 | 92 | 77 | 50 | 68 | 68 | 71 | 57 | 68 | 69 | 72 | 50 | 0 | 27 | 2,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 42 | 96 | 77 | 66 | 56 | 92 | 64 | 78 | 60 | 58 | 84 | 75 | 73 | 75 | 67 | 50 | 0 | 36 | 900,000$/2yrs | |||
![]() | 0 | C | 99.00 | 78 | 44 | 88 | 89 | 68 | 86 | 94 | 92 | 70 | 89 | 75 | 71 | 80 | 65 | 65 | 80 | 50 | 0 | 21 | 8,350,000$/8yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 86 | 76 | 73 | 60 | 86 | 61 | 25 | 49 | 48 | 68 | 25 | 64 | 65 | 59 | 23 | 0 | 31 | 1,200,000$/2yrs | |||
![]() | 0 | D | 99.00 | 65 | 42 | 84 | 92 | 68 | 90 | 99 | 91 | 25 | 73 | 54 | 71 | 57 | 86 | 86 | 71 | 50 | 0 | 33 | 11,500,000$/4yrs | |||
![]() | 0 | D | 99.00 | 93 | 90 | 69 | 80 | 82 | 74 | 69 | 65 | 25 | 56 | 51 | 90 | 25 | 72 | 74 | 67 | 50 | 0 | 31 | 4,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 84 | 77 | 76 | 78 | 80 | 63 | 25 | 54 | 49 | 92 | 25 | 67 | 70 | 65 | 50 | 0 | 33 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 89 | 68 | 78 | 75 | 75 | 72 | 99 | 65 | 25 | 61 | 48 | 84 | 25 | 63 | 64 | 66 | 50 | 0 | 26 | 2,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 86 | 82 | 73 | 72 | 91 | 64 | 25 | 58 | 49 | 71 | 25 | 79 | 83 | 63 | 50 | 0 | 32 | 7,750,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 65 | 42 | 99 | 78 | 68 | 62 | 69 | 70 | 34 | 67 | 70 | 66 | 25 | 46 | 46 | 70 | 50 | 0 | 20 | 835,000$/3yrs | |||
![]() | 0 | C/LW/RW | 87.31 | 61 | 42 | 89 | 84 | 79 | 69 | 57 | 85 | 55 | 63 | 84 | 64 | 85 | 69 | 69 | 76 | 50 | 0 | 25 | 8,700,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 61 | 40 | 99 | 70 | 63 | 57 | 84 | 61 | 26 | 61 | 55 | 61 | 25 | 45 | 45 | 61 | 50 | 0 | 24 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 44 | 89 | 78 | 61 | 69 | 56 | 59 | 25 | 39 | 49 | 75 | 25 | 49 | 49 | 60 | 50 | 0 | 25 | 825,000$/1yrs | |||
TEAM AVERAGE | 99.05 | 75 | 56 | 85 | 79 | 73 | 67 | 82 | 70 | 49 | 62 | 60 | 74 | 43 | 67 | 68 | 67 | 49 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 67 | 70 | 68 | 83 | 70 | 65 | 71 | 68 | 71 | 67 | 78 | 59 | 59 | 69 | 50 | 0 | 26 | 1,000,000$/1yrs |
![]() | 0 | 98.00 | 66 | 77 | 75 | 78 | 65 | 66 | 69 | 67 | 65 | 66 | 83 | 65 | 66 | 68 | 50 | 0 | 29 | 4,000,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 67 | 74 | 72 | 81 | 68 | 66 | 70 | 68 | 68 | 67 | 81 | 62 | 63 | 69 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | D | 100.00 | 81 | 45 | 83 | 74 | 78 | 66 | 76 | 61 | 25 | 50 | 47 | 76 | 25 | 67 | 69 | 61 | 22 | 0 | 31 | 3,400,000$/3yrs | |||
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 | Tim Stutzle | 0 | C | 56 | 30 | 42 | 72 | 5 | 23 | 5 | 90 | 210 | 59 | 126 | 14.29% | 24 | 18.99 | 9 | 15 | 24 | 139 | 0 | 0 | 0 | 1 | 2 | 2 | 44.14% | 1450 | 43 | 22 | 1 | 1 | 1.35 | 2 | 4 | ||
2 | Patrik Laine | 0 | C/LW/RW | 56 | 21 | 31 | 52 | 6 | 22 | 0 | 67 | 231 | 63 | 139 | 9.09% | 27 | 21.59 | 11 | 12 | 23 | 133 | 0 | 0 | 0 | 121 | 6 | 0 | 52.43% | 103 | 47 | 19 | 0 | 1 | 0.86 | 4 | 10 | ||
3 | Evgeny Kuznetsov | 0 | C | 56 | 14 | 23 | 37 | -10 | 26 | 0 | 77 | 147 | 56 | 100 | 9.52% | 19 | 18.42 | 6 | 3 | 9 | 110 | 0 | 0 | 0 | 113 | 3 | 0 | 52.92% | 633 | 53 | 15 | 0 | 0 | 0.72 | 1 | 11 | ||
4 | Erik Karlsson | 0 | D | 56 | 6 | 28 | 34 | -11 | 44 | 10 | 59 | 172 | 68 | 56 | 3.49% | 82 | 26.74 | 2 | 3 | 5 | 104 | 0 | 1 | 1 | 165 | 0 | 2 | 0.00% | 0 | 46 | 51 | 0 | 0 | 0.45 | 0 | 0 | ||
5 | Andrew Copp | 0 | C/LW/RW | 56 | 13 | 19 | 32 | 8 | 6 | 0 | 68 | 104 | 41 | 62 | 12.50% | 26 | 19.66 | 1 | 6 | 7 | 109 | 0 | 0 | 0 | 41 | 2 | 1 | 52.70% | 74 | 27 | 27 | 1 | 0 | 0.58 | 0 | 0 | ||
6 | Alex Iafallo | 0 | RW | 56 | 15 | 12 | 27 | -8 | 8 | 0 | 67 | 105 | 16 | 56 | 14.29% | 23 | 18.82 | 4 | 8 | 12 | 136 | 2 | 0 | 2 | 165 | 2 | 1 | 25.00% | 52 | 29 | 18 | 0 | 1 | 0.51 | 1 | 6 | ||
7 | Radek Faksa | 0 | C/LW | 56 | 12 | 15 | 27 | -11 | 9 | 5 | 78 | 109 | 24 | 56 | 11.01% | 21 | 16.29 | 2 | 4 | 6 | 106 | 0 | 1 | 1 | 166 | 1 | 2 | 50.51% | 493 | 35 | 12 | 0 | 0 | 0.59 | 1 | 11 | ||
8 | Ryan Donato | 0 | C/RW | 56 | 13 | 9 | 22 | -6 | 24 | 10 | 85 | 97 | 31 | 50 | 13.40% | 17 | 13.30 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 2 | 1 | 18.52% | 27 | 36 | 4 | 0 | 0 | 0.59 | 0 | 0 | ||
9 | Chris Wagner | 0 | C/RW | 56 | 10 | 9 | 19 | 4 | 14 | 10 | 45 | 78 | 27 | 53 | 12.82% | 9 | 10.12 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 26 | 1 | 0 | 51.23% | 162 | 15 | 11 | 0 | 0 | 0.67 | 0 | 0 | ||
10 | Josh Manson | 0 | D | 56 | 2 | 16 | 18 | -3 | 120 | 30 | 150 | 47 | 28 | 29 | 4.26% | 82 | 24.01 | 1 | 4 | 5 | 148 | 0 | 0 | 0 | 114 | 0 | 0 | 0.00% | 0 | 11 | 40 | 0 | 0 | 0.27 | 0 | 0 | ||
11 | Jan Rutta | 0 | D | 56 | 2 | 12 | 14 | -10 | 20 | 0 | 51 | 55 | 21 | 35 | 3.64% | 63 | 23.28 | 1 | 1 | 2 | 147 | 0 | 0 | 0 | 180 | 0 | 0 | 0.00% | 0 | 13 | 46 | 0 | 0 | 0.21 | 0 | 0 | ||
12 | William Borgen | 0 | D | 56 | 2 | 12 | 14 | 2 | 41 | 5 | 83 | 36 | 17 | 24 | 5.56% | 51 | 17.19 | 0 | 3 | 3 | 102 | 0 | 0 | 0 | 14 | 1 | 1 | 0.00% | 0 | 6 | 26 | 0 | 0 | 0.29 | 0 | 0 | ||
13 | Derek Ryan | 0 | C/RW | 56 | 7 | 6 | 13 | -11 | 5 | 5 | 39 | 81 | 22 | 43 | 8.64% | 12 | 10.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 12 | 6 | 0 | 0 | 0.43 | 1 | 1 | ||
14 | Justin Kirkland | 0 | RW | 56 | 5 | 7 | 12 | 4 | 68 | 30 | 41 | 42 | 9 | 29 | 11.90% | 6 | 8.68 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 3 | 1 | 0 | 50.00% | 8 | 11 | 6 | 0 | 0 | 0.49 | 0 | 0 | ||
15 | Nicolas Deslauriers | 0 | RW | 56 | 4 | 8 | 12 | 4 | 61 | 15 | 77 | 55 | 18 | 33 | 7.27% | 7 | 8.43 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 37.50% | 8 | 12 | 5 | 0 | 0 | 0.51 | 0 | 0 | ||
16 | Dmitry Orlov | 0 | D | 56 | 0 | 8 | 8 | 1 | 28 | 0 | 34 | 33 | 16 | 13 | 0.00% | 42 | 15.07 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 110 | 0 | 0 | 0.00% | 0 | 2 | 21 | 0 | 0 | 0.19 | 0 | 0 | ||
17 | Michael McCarron | 0 | C/RW | 56 | 5 | 0 | 5 | -10 | 64 | 10 | 94 | 55 | 13 | 38 | 9.09% | 13 | 10.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 57.89% | 19 | 7 | 10 | 0 | 0 | 0.16 | 0 | 0 | ||
18 | Nick Blankenburg | 0 | D | 51 | 1 | 3 | 4 | 1 | 2 | 0 | 33 | 42 | 19 | 7 | 2.38% | 27 | 15.13 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 57 | 0 | 0 | 100.00% | 1 | 2 | 30 | 0 | 0 | 0.10 | 0 | 1 | ||
19 | Jon Merrill | 0 | D | 5 | 0 | 1 | 1 | 2 | 0 | 0 | 2 | 2 | 2 | 0 | 0.00% | 4 | 15.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.25 | 0 | 0 | ||
20 | Joshua Roy | 0 | RW | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 0 | 2.06 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Lukas Rousek | 0 | RW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1018 | 162 | 261 | 423 | -44 | 585 | 135 | 1242 | 1702 | 550 | 950 | 9.52% | 555 | 16.38 | 37 | 59 | 96 | 1274 | 2 | 2 | 4 | 1287 | 21 | 11 | 47.42% | 3037 | 407 | 370 | 2 | 3 | 0.51 | 10 | 44 |
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 | Joonas Korpisalo | 56 | 28 | 20 | 8 | 0.900 | 2.93 | 3296 | 0 | 1 | 161 | 1606 | 899 | 4 | 3 | 0.837 | 43 | 56 | 0 | 3 | 4 | 3 | |
2 | Samuel Montembeault | 5 | 0 | 0 | 0 | 0.906 | 3.78 | 127 | 0 | 0 | 8 | 85 | 48 | 0 | 0 | 0.000 | 0 | 0 | 56 | 0 | 0 | 0 | |
Team Total or Average | 61 | 28 | 20 | 8 | 0.900 | 2.96 | 3423 | 0 | 1 | 169 | 1691 | 947 | 4 | 3 | 0.837 | 43 | 56 | 56 | 3 | 4 | 3 |
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 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 7 | 10 | -3 | 2 | 0.333 | 7 | 10 | 17 | 0 | 0 | 2 | 1 | 4 | 0 | 102 | 31 | 26 | 45 | 7 | 102 | 29 | 24 | 60 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 66 | 37 | 68 | 28 | 55 | 26 | 40.0% | 6.9% | 90.2% | 97.1 | Unlucky | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 44 | 10 | 17 | 17 | 0 | 70 | 22 | 27 | 39 | 5 | 1 | 20.00% | 11 | 2 | 81.82% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 36 | 17 | 46 | 20 | 37 | 17 | 28.6% | 6.8% | 90.0% | 96.8 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 12 | 6 | 14 | 0 | 23 | 3 | 2 | 18 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 23 | 14 | 19 | 8 | 17 | 9 | 0.0% | 0.0% | 91.3% | 91.3 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 45 | 13 | 16 | 16 | 0 | 18 | 6 | 4 | 18 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 21 | 12 | 20 | 9 | 18 | 8 | 83.3% | 11.1% | 94.4% | 105.6 | LUCKY | |
5 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 0 | 3 | 55 | 14 | 25 | 11 | 10 | 51 | 15 | 16 | 55 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 41 | 21 | 44 | 21 | 40 | 20 | 71.4% | 10.9% | 92.2% | 103.1 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 3 | 7 | 0 | 0 | 1 | 0 | 2 | 1 | 22 | 8 | 7 | 7 | 3 | 44 | 6 | 10 | 15 | 1 | 1 | 100.00% | 5 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 19 | 10 | 25 | 9 | 19 | 8 | 50.0% | 18.2% | 93.2% | 111.4 | LUCKY | |
7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 96 | 29 | 41 | 26 | 0 | 88 | 30 | 26 | 66 | 10 | 2 | 20.00% | 13 | 2 | 84.62% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 61 | 33 | 66 | 29 | 52 | 25 | 54.5% | 8.3% | 92.0% | 100.4 | DULL | |
8 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 7 | 14 | 0 | 0 | 1 | 3 | 2 | 1 | 51 | 10 | 18 | 22 | 6 | 68 | 17 | 19 | 38 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 43 | 23 | 46 | 19 | 40 | 20 | 50.0% | 13.7% | 89.7% | 103.4 | FUN | |
9 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 7 | 14 | 0 | 0 | 1 | 2 | 2 | 3 | 65 | 17 | 30 | 14 | 7 | 64 | 27 | 13 | 49 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 45 | 25 | 42 | 18 | 37 | 18 | 50.0% | 10.8% | 92.2% | 103.0 | LUCKY | |
10 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 0 | 2 | 4 | 0 | 57 | 12 | 21 | 21 | 3 | 58 | 17 | 42 | 43 | 3 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 20 | 42 | 19 | 39 | 18 | 54.5% | 10.5% | 84.5% | 95.0 | FUN | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 2 | 3 | 3 | 2 | 74 | 26 | 25 | 22 | 5 | 55 | 15 | 25 | 39 | 10 | 1 | 10.00% | 5 | 1 | 80.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 46 | 25 | 38 | 20 | 39 | 20 | 72.7% | 12.2% | 92.7% | 104.9 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 1 | 4 | 2 | 1 | 50 | 15 | 21 | 14 | 2 | 63 | 19 | 35 | 47 | 6 | 1 | 16.67% | 10 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 41 | 20 | 42 | 20 | 40 | 19 | 58.3% | 16.0% | 92.1% | 108.1 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 9 | 8 | 6 | 0 | 25 | 9 | 14 | 26 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 20 | 11 | 22 | 9 | 17 | 8 | 0.0% | 4.3% | 88.0% | 92.3 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 65 | 16 | 31 | 18 | 0 | 55 | 14 | 34 | 46 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 22 | 40 | 19 | 38 | 18 | 37.5% | 6.2% | 90.9% | 97.1 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 1 | 0 | 1 | 2 | 4 | 0 | 80 | 19 | 28 | 33 | 0 | 64 | 18 | 8 | 45 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 42 | 24 | 41 | 17 | 35 | 17 | 50.0% | 8.8% | 92.2% | 100.9 | DULL | |
16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 49 | 15 | 22 | 11 | 1 | 22 | 3 | 4 | 22 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 24 | 16 | 19 | 8 | 18 | 8 | 50.0% | 6.1% | 81.8% | 87.9 | Unlucky | |
17 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 3 | 0.750 | 10 | 16 | 26 | 0 | 0 | 3 | 2 | 5 | 0 | 67 | 14 | 20 | 33 | 5 | 72 | 24 | 18 | 49 | 9 | 4 | 44.44% | 9 | 4 | 55.56% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 39 | 21 | 46 | 19 | 38 | 18 | 60.0% | 14.9% | 88.9% | 103.8 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 16 | 3 | 7 | 6 | 0 | 11 | 4 | 8 | 29 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 18 | 8 | 19 | 10 | 21 | 9 | 100.0% | 12.5% | 100.0% | 112.5 | LUCKY | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 1 | 2 | 5 | 0 | 68 | 16 | 14 | 38 | 0 | 62 | 22 | 25 | 41 | 2 | 1 | 50.00% | 10 | 3 | 70.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 39 | 20 | 45 | 19 | 35 | 17 | 77.8% | 11.8% | 91.9% | 103.7 | LUCKY | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 14 | 22 | 25 | 0 | 72 | 29 | 17 | 44 | 11 | 3 | 27.27% | 6 | 2 | 66.67% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 42 | 22 | 40 | 17 | 37 | 19 | 20.0% | 8.2% | 86.1% | 94.3 | Unlucky | |
21 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 0 | 1 | 3 | 2 | 56 | 12 | 19 | 22 | 9 | 65 | 19 | 19 | 35 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 20 | 46 | 20 | 37 | 19 | 60.0% | 10.7% | 93.8% | 104.6 | LUCKY | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 8 | 11 | 7 | 0 | 35 | 16 | 10 | 14 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 19 | 10 | 22 | 9 | 17 | 8 | 40.0% | 7.7% | 88.6% | 96.3 | Unlucky | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 0 | 3 | 4 | 0 | 56 | 22 | 18 | 16 | 0 | 38 | 20 | 19 | 61 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 45 | 25 | 38 | 17 | 36 | 18 | 85.7% | 12.5% | 92.1% | 104.6 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 7 | 2 | 0 | 31 | 5 | 35 | 19 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 18 | 7 | 21 | 10 | 20 | 9 | 0.0% | 0.0% | 83.9% | 83.9 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 64 | 10 | 30 | 24 | 0 | 62 | 16 | 12 | 53 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 44 | 25 | 39 | 17 | 35 | 18 | 38.5% | 7.8% | 85.5% | 93.3 | Unlucky | |
26 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 5 | 0.833 | 8 | 12 | 20 | 0 | 0 | 1 | 4 | 3 | 0 | 99 | 17 | 36 | 46 | 0 | 81 | 36 | 14 | 75 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 1 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 64 | 35 | 59 | 27 | 55 | 28 | 58.3% | 8.1% | 91.4% | 99.4 | DULL | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 65 | 18 | 26 | 21 | 0 | 59 | 24 | 23 | 47 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 22 | 42 | 18 | 36 | 17 | 15.4% | 4.6% | 79.7% | 84.3 | Unlucky | |
28 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 4 | 0.667 | 14 | 22 | 36 | 1 | 0 | 2 | 3 | 9 | 0 | 72 | 16 | 20 | 36 | 0 | 93 | 39 | 21 | 56 | 9 | 3 | 33.33% | 8 | 1 | 87.50% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 54 | 27 | 71 | 29 | 54 | 26 | 61.1% | 19.4% | 91.4% | 110.8 | LUCKY | |
29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 32 | 1 | 16 | 14 | 4 | 36 | 16 | 12 | 21 | 4 | 2 | 50.00% | 6 | 3 | 50.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 19 | 9 | 23 | 10 | 21 | 10 | 50.0% | 12.5% | 86.1% | 98.6 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 4 | 0 | 60 | 16 | 18 | 26 | 0 | 67 | 27 | 31 | 42 | 8 | 4 | 50.00% | 8 | 2 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 38 | 20 | 44 | 19 | 36 | 18 | 36.4% | 13.3% | 86.6% | 99.9 | FUN | |
31 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 8 | 11 | 12 | 0 | 40 | 8 | 18 | 30 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 20 | 10 | 20 | 8 | 18 | 9 | 16.7% | 6.5% | 85.0% | 91.5 | Unlucky | |
_Vs Division | 11 | 2 | 4 | 0 | 1 | 0 | 2 | 2 | 27 | 33 | -6 | 12 | 0.545 | 27 | 34 | 61 | 1 | 0 | 6 | 5 | 13 | 4 | 331 | 103 | 98 | 126 | 17 | 351 | 101 | 123 | 228 | 23 | 6 | 26.09% | 35 | 4 | 88.57% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 232 | 127 | 245 | 105 | 203 | 98 | 42.0% | 8.2% | 90.6% | 98.8 | Unlucky | |
_Vs Conference | 29 | 10 | 8 | 0 | 3 | 1 | 5 | 2 | 87 | 76 | 11 | 39 | 0.672 | 87 | 129 | 216 | 3 | 0 | 16 | 26 | 37 | 11 | 889 | 244 | 303 | 329 | 41 | 883 | 289 | 262 | 613 | 80 | 16 | 20.00% | 93 | 13 | 86.02% | 1 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 604 | 326 | 636 | 281 | 537 | 266 | 53.0% | 9.8% | 91.4% | 101.2 | LUCKY | |
_Since Last GM Reset | 56 | 18 | 20 | 0 | 3 | 4 | 7 | 4 | 169 | 176 | -7 | 64 | 0.571 | 169 | 261 | 430 | 3 | 1 | 30 | 56 | 73 | 13 | 1702 | 441 | 617 | 625 | 62 | 1694 | 555 | 585 | 1242 | 158 | 37 | 23.42% | 197 | 38 | 80.71% | 2 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 1162 | 625 | 1211 | 540 | 1053 | 518 | 48.9% | 9.9% | 89.6% | 99.5 | FUN | |
Total | 56 | 18 | 20 | 0 | 3 | 4 | 7 | 4 | 169 | 176 | -7 | 64 | 0.571 | 169 | 261 | 430 | 3 | 1 | 30 | 56 | 73 | 13 | 1702 | 441 | 617 | 625 | 62 | 1694 | 555 | 585 | 1242 | 158 | 37 | 23.42% | 197 | 38 | 80.71% | 2 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 1162 | 625 | 1211 | 540 | 1053 | 518 | 48.9% | 9.9% | 89.6% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1131 |
Neutral Zone Start | 778 |
Defensive Zone Start | 1100 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1440 |
Faceoffs Lost | 1569 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.9 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 30.1 | 30.68 |
Overtime | 31.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 127 |
---|---|
PP Goal | 37 |
PK Goal | 2 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 12 | 16 |
Lost | 10 | 10 |
Overtime Lost | 5 | 3 |
PP Attempt | 158 |
---|---|
PP Goal | 37 |
PK Attempt | 197 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 30.4 |
Shots Against | 30.3 |
Goals For | 3.0 |
Goals Against | 3.1 |
Hits | 22.2 |
Shots Blocked | 9.9 |
Pim | 10.4 |
Projected Total Cap Hit | 82,535,000$ |
Projected Cap Space | 965,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 52,341,831$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Panthers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Iafallo ![]() | RW | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Andrew Copp ![]() | C/LW/RW | 29 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | ||||
Chris Wagner ![]() | C/RW | 32 | 775,000$ | 775,000$ | |||||||
Derek Ryan ![]() | C/RW | 36 | 900,000$ | 900,000$ | 900,000$ | ||||||
Dmitry Orlov ![]() | D | 32 | 7,750,000$ | 7,750,000$ | 7,750,000$ | ||||||
Erik Karlsson ![]() | D | 33 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | ||||
Evgeny Kuznetsov ![]() | C | 31 | 7,800,000$ | 7,800,000$ | 7,800,000$ | ||||||
Jan Rutta ![]() | D | 33 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Jon Merrill ![]() | D | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Joonas Korpisalo ![]() | G | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||
Josh Manson ![]() | D | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Joshua Roy ![]() | RW | 20 | 835,000$ | 835,000$ | 835,000$ | 835,000$ | |||||
Justin Kirkland ![]() | RW | 27 | 775,000$ | 775,000$ | |||||||
Lukas Rousek ![]() | RW | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Michael McCarron ![]() | C/RW | 28 | 775,000$ | 775,000$ | |||||||
Nick Blankenburg ![]() | D | 25 | 825,000$ | 825,000$ | |||||||
Nicolas Deslauriers ![]() | RW | 32 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | |||||
Patrik Laine ![]() | C/LW/RW | 25 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | |||||
Radek Faksa ![]() | C/LW | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||||
Ryan Donato ![]() | C/RW | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Samuel Montembeault ![]() | G | 26 | 1,000,000$ | 1,000,000$ | |||||||
Tim Stutzle ![]() | C | 21 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ |
William Borgen ![]() | D | 26 | 2,700,000$ | 2,700,000$ | 2,700,000$ |
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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 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 7 | 10 | -3 | 2 | 0.333 | 7 | 10 | 17 | 0 | 0 | 2 | 1 | 4 | 0 | 102 | 31 | 26 | 45 | 7 | 102 | 29 | 24 | 60 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 66 | 37 | 68 | 28 | 55 | 26 | 40.0% | 6.9% | 90.2% | 97.1 | Unlucky | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 44 | 10 | 17 | 17 | 0 | 70 | 22 | 27 | 39 | 5 | 1 | 20.00% | 11 | 2 | 81.82% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 36 | 17 | 46 | 20 | 37 | 17 | 28.6% | 6.8% | 90.0% | 96.8 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 12 | 6 | 14 | 0 | 23 | 3 | 2 | 18 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 23 | 14 | 19 | 8 | 17 | 9 | 0.0% | 0.0% | 91.3% | 91.3 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 45 | 13 | 16 | 16 | 0 | 18 | 6 | 4 | 18 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 21 | 12 | 20 | 9 | 18 | 8 | 83.3% | 11.1% | 94.4% | 105.6 | LUCKY | |
5 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 0 | 3 | 55 | 14 | 25 | 11 | 10 | 51 | 15 | 16 | 55 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 41 | 21 | 44 | 21 | 40 | 20 | 71.4% | 10.9% | 92.2% | 103.1 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 3 | 7 | 0 | 0 | 1 | 0 | 2 | 1 | 22 | 8 | 7 | 7 | 3 | 44 | 6 | 10 | 15 | 1 | 1 | 100.00% | 5 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 19 | 10 | 25 | 9 | 19 | 8 | 50.0% | 18.2% | 93.2% | 111.4 | LUCKY | |
7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 96 | 29 | 41 | 26 | 0 | 88 | 30 | 26 | 66 | 10 | 2 | 20.00% | 13 | 2 | 84.62% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 61 | 33 | 66 | 29 | 52 | 25 | 54.5% | 8.3% | 92.0% | 100.4 | DULL | |
8 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 7 | 14 | 0 | 0 | 1 | 3 | 2 | 1 | 51 | 10 | 18 | 22 | 6 | 68 | 17 | 19 | 38 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 43 | 23 | 46 | 19 | 40 | 20 | 50.0% | 13.7% | 89.7% | 103.4 | FUN | |
9 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 7 | 14 | 0 | 0 | 1 | 2 | 2 | 3 | 65 | 17 | 30 | 14 | 7 | 64 | 27 | 13 | 49 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 45 | 25 | 42 | 18 | 37 | 18 | 50.0% | 10.8% | 92.2% | 103.0 | LUCKY | |
10 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 0 | 2 | 4 | 0 | 57 | 12 | 21 | 21 | 3 | 58 | 17 | 42 | 43 | 3 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 20 | 42 | 19 | 39 | 18 | 54.5% | 10.5% | 84.5% | 95.0 | FUN | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 2 | 3 | 3 | 2 | 74 | 26 | 25 | 22 | 5 | 55 | 15 | 25 | 39 | 10 | 1 | 10.00% | 5 | 1 | 80.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 46 | 25 | 38 | 20 | 39 | 20 | 72.7% | 12.2% | 92.7% | 104.9 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 1 | 4 | 2 | 1 | 50 | 15 | 21 | 14 | 2 | 63 | 19 | 35 | 47 | 6 | 1 | 16.67% | 10 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 41 | 20 | 42 | 20 | 40 | 19 | 58.3% | 16.0% | 92.1% | 108.1 | LUCKY | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 23 | 9 | 8 | 6 | 0 | 25 | 9 | 14 | 26 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 20 | 11 | 22 | 9 | 17 | 8 | 0.0% | 4.3% | 88.0% | 92.3 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 65 | 16 | 31 | 18 | 0 | 55 | 14 | 34 | 46 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 22 | 40 | 19 | 38 | 18 | 37.5% | 6.2% | 90.9% | 97.1 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 1 | 0 | 1 | 2 | 4 | 0 | 80 | 19 | 28 | 33 | 0 | 64 | 18 | 8 | 45 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 42 | 24 | 41 | 17 | 35 | 17 | 50.0% | 8.8% | 92.2% | 100.9 | DULL | |
16 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 49 | 15 | 22 | 11 | 1 | 22 | 3 | 4 | 22 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 24 | 16 | 19 | 8 | 18 | 8 | 50.0% | 6.1% | 81.8% | 87.9 | Unlucky | |
17 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 3 | 0.750 | 10 | 16 | 26 | 0 | 0 | 3 | 2 | 5 | 0 | 67 | 14 | 20 | 33 | 5 | 72 | 24 | 18 | 49 | 9 | 4 | 44.44% | 9 | 4 | 55.56% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 39 | 21 | 46 | 19 | 38 | 18 | 60.0% | 14.9% | 88.9% | 103.8 | FUN | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 16 | 3 | 7 | 6 | 0 | 11 | 4 | 8 | 29 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 18 | 8 | 19 | 10 | 21 | 9 | 100.0% | 12.5% | 100.0% | 112.5 | LUCKY | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 1 | 2 | 5 | 0 | 68 | 16 | 14 | 38 | 0 | 62 | 22 | 25 | 41 | 2 | 1 | 50.00% | 10 | 3 | 70.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 39 | 20 | 45 | 19 | 35 | 17 | 77.8% | 11.8% | 91.9% | 103.7 | LUCKY | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 14 | 22 | 25 | 0 | 72 | 29 | 17 | 44 | 11 | 3 | 27.27% | 6 | 2 | 66.67% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 42 | 22 | 40 | 17 | 37 | 19 | 20.0% | 8.2% | 86.1% | 94.3 | Unlucky | |
21 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 0 | 1 | 3 | 2 | 56 | 12 | 19 | 22 | 9 | 65 | 19 | 19 | 35 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 20 | 46 | 20 | 37 | 19 | 60.0% | 10.7% | 93.8% | 104.6 | LUCKY | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 8 | 11 | 7 | 0 | 35 | 16 | 10 | 14 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 19 | 10 | 22 | 9 | 17 | 8 | 40.0% | 7.7% | 88.6% | 96.3 | Unlucky | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 0 | 3 | 4 | 0 | 56 | 22 | 18 | 16 | 0 | 38 | 20 | 19 | 61 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 45 | 25 | 38 | 17 | 36 | 18 | 85.7% | 12.5% | 92.1% | 104.6 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 7 | 2 | 0 | 31 | 5 | 35 | 19 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 18 | 7 | 21 | 10 | 20 | 9 | 0.0% | 0.0% | 83.9% | 83.9 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 64 | 10 | 30 | 24 | 0 | 62 | 16 | 12 | 53 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 44 | 25 | 39 | 17 | 35 | 18 | 38.5% | 7.8% | 85.5% | 93.3 | Unlucky | |
26 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 5 | 0.833 | 8 | 12 | 20 | 0 | 0 | 1 | 4 | 3 | 0 | 99 | 17 | 36 | 46 | 0 | 81 | 36 | 14 | 75 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 1 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 64 | 35 | 59 | 27 | 55 | 28 | 58.3% | 8.1% | 91.4% | 99.4 | DULL | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 65 | 18 | 26 | 21 | 0 | 59 | 24 | 23 | 47 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 40 | 22 | 42 | 18 | 36 | 17 | 15.4% | 4.6% | 79.7% | 84.3 | Unlucky | |
28 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 4 | 0.667 | 14 | 22 | 36 | 1 | 0 | 2 | 3 | 9 | 0 | 72 | 16 | 20 | 36 | 0 | 93 | 39 | 21 | 56 | 9 | 3 | 33.33% | 8 | 1 | 87.50% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 54 | 27 | 71 | 29 | 54 | 26 | 61.1% | 19.4% | 91.4% | 110.8 | LUCKY | |
29 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 32 | 1 | 16 | 14 | 4 | 36 | 16 | 12 | 21 | 4 | 2 | 50.00% | 6 | 3 | 50.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 19 | 9 | 23 | 10 | 21 | 10 | 50.0% | 12.5% | 86.1% | 98.6 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 4 | 0 | 60 | 16 | 18 | 26 | 0 | 67 | 27 | 31 | 42 | 8 | 4 | 50.00% | 8 | 2 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 38 | 20 | 44 | 19 | 36 | 18 | 36.4% | 13.3% | 86.6% | 99.9 | FUN | |
31 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 31 | 8 | 11 | 12 | 0 | 40 | 8 | 18 | 30 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 20 | 10 | 20 | 8 | 18 | 9 | 16.7% | 6.5% | 85.0% | 91.5 | Unlucky | |
_Vs Division | 11 | 2 | 4 | 0 | 1 | 0 | 2 | 2 | 27 | 33 | -6 | 12 | 0.545 | 27 | 34 | 61 | 1 | 0 | 6 | 5 | 13 | 4 | 331 | 103 | 98 | 126 | 17 | 351 | 101 | 123 | 228 | 23 | 6 | 26.09% | 35 | 4 | 88.57% | 0 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 232 | 127 | 245 | 105 | 203 | 98 | 42.0% | 8.2% | 90.6% | 98.8 | Unlucky | |
_Vs Conference | 29 | 10 | 8 | 0 | 3 | 1 | 5 | 2 | 87 | 76 | 11 | 39 | 0.672 | 87 | 129 | 216 | 3 | 0 | 16 | 26 | 37 | 11 | 889 | 244 | 303 | 329 | 41 | 883 | 289 | 262 | 613 | 80 | 16 | 20.00% | 93 | 13 | 86.02% | 1 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 604 | 326 | 636 | 281 | 537 | 266 | 53.0% | 9.8% | 91.4% | 101.2 | LUCKY | |
_Since Last GM Reset | 56 | 18 | 20 | 0 | 3 | 4 | 7 | 4 | 169 | 176 | -7 | 64 | 0.571 | 169 | 261 | 430 | 3 | 1 | 30 | 56 | 73 | 13 | 1702 | 441 | 617 | 625 | 62 | 1694 | 555 | 585 | 1242 | 158 | 37 | 23.42% | 197 | 38 | 80.71% | 2 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 1162 | 625 | 1211 | 540 | 1053 | 518 | 48.9% | 9.9% | 89.6% | 99.5 | FUN | |
Total | 56 | 18 | 20 | 0 | 3 | 4 | 7 | 4 | 169 | 176 | -7 | 64 | 0.571 | 169 | 261 | 430 | 3 | 1 | 30 | 56 | 73 | 13 | 1702 | 441 | 617 | 625 | 62 | 1694 | 555 | 585 | 1242 | 158 | 37 | 23.42% | 197 | 38 | 80.71% | 2 | 551 | 1131 | 48.72% | 538 | 1100 | 48.91% | 351 | 778 | 45.12% | 1162 | 625 | 1211 | 540 | 1053 | 518 | 48.9% | 9.9% | 89.6% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1131 |
Neutral Zone Start | 778 |
Defensive Zone Start | 1100 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1440 |
Faceoffs Lost | 1569 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.9 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 30.1 | 30.68 |
Overtime | 31.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 127 |
---|---|
PP Goal | 37 |
PK Goal | 2 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 12 | 16 |
Lost | 10 | 10 |
Overtime Lost | 5 | 3 |
PP Attempt | 158 |
---|---|
PP Goal | 37 |
PK Attempt | 197 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 30.4 |
Shots Against | 30.3 |
Goals For | 3.0 |
Goals Against | 3.1 |
Hits | 22.2 |
Shots Blocked | 9.9 |
Pim | 10.4 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-05 | @ | Bruins3,Panthers2 | RECAP | ||
2024-10-07 | @ | Panthers0,Senators5 | RECAP | ||
2024-10-09 | @ | Panthers5,Sabres3 | RECAP | ||
2024-10-11 | @ | Panthers2,Bruins3 (SO) | RECAP | ||
2024-10-12 | @ | Panthers2,Blue Jackets4 | RECAP | ||
2024-10-14 | @ | Canucks3,Panthers4 (SO) | RECAP | ||
2024-10-16 | @ | Golden Knights8,Panthers4 | RECAP | ||
2024-10-19 | @ | Wild1,Panthers4 | RECAP | ||
2024-10-21 | @ | Panthers3,Rangers2 (SO) | RECAP | ||
2024-10-23 | @ | Panthers2,Islanders1 (SO) | RECAP | ||
2024-10-25 | @ | Panthers3,Sabres2 | RECAP | ||
2024-10-29 | @ | Panthers1,Stars4 | RECAP | ||
2024-10-30 | @ | Stars1,Panthers3 | RECAP | ||
2024-11-04 | @ | Predators4,Panthers3 (OT) | RECAP | ||
2024-11-06 | @ | Flyers3,Panthers2 | RECAP | ||
2024-11-09 | @ | Devils2,Panthers3 | RECAP | ||
2024-11-11 | @ | Devils3,Panthers2 (OT) | RECAP | ||
2024-11-13 | @ | Jets6,Panthers5 (SO) | RECAP | ||
2024-11-16 | @ | Panthers5,Jets2 | RECAP | ||
2024-11-18 | @ | Panthers2,Blackhawks8 | RECAP | ||
2024-11-20 | @ | Avalanche5,Panthers4 (OT) | RECAP | ||
2024-11-22 | @ | Capitals1,Panthers5 | RECAP | ||
2024-11-24 | @ | Maple Leafs3,Panthers1 | RECAP | ||
2024-11-26 | @ | Panthers5,Hurricanes3 | RECAP | ||
2024-11-27 | @ | Hurricanes4,Panthers2 | RECAP | ||
2024-11-30 | @ | Panthers3,Penguins4 | RECAP | ||
2024-12-02 | @ | Panthers3,Flyers2 | RECAP | ||
2024-12-04 | @ | Sharks6,Panthers2 | RECAP | ||
2024-12-07 | @ | Panthers2,Kraken6 | RECAP | ||
2024-12-09 | @ | Panthers4,Canucks2 | RECAP | ||
2024-12-11 | @ | Panthers4,Flames5 (SO) | RECAP | ||
2024-12-13 | @ | Panthers2,Oilers0 | RECAP | ||
2024-12-15 | @ | Panthers3,Wild2 | RECAP | ||
2024-12-17 | @ | Blues3,Panthers4 (SO) | RECAP | ||
2024-12-19 | @ | Panthers3,Lightning2 (SO) | RECAP | ||
2024-12-20 | @ | Lightning3,Panthers4 (OT) | RECAP | ||
2024-12-25 | @ | Canadiens2,Panthers0 | RECAP | ||
2024-12-27 | @ | Rangers2,Panthers3 (OT) | RECAP | ||
2024-12-30 | @ | Hurricanes1,Panthers7 | RECAP | ||
2024-12-31 | @ | Penguins1,Panthers4 | RECAP | ||
2025-01-03 | @ | Panthers2,Avalanche4 | RECAP | ||
2025-01-05 | @ | Panthers5,Utah Hockey Club1 | RECAP | ||
2025-01-08 | @ | Bruins4,Panthers3 (SO) | RECAP | ||
2025-01-10 | @ | Panthers3,Flyers2 | RECAP | ||
2025-01-11 | @ | Panthers3,Devils2 | RECAP | ||
2025-01-13 | @ | Red Wings3,Panthers4 (SO) | RECAP | ||
2025-01-15 | @ | Ducks4,Panthers1 | RECAP | ||
2025-01-18 | @ | Panthers2,Ducks3 | RECAP | ||
2025-01-19 | @ | Panthers3,Kings5 | RECAP | ||
2025-01-22 | @ | Panthers3,Sharks4 | RECAP | ||
2025-01-23 | @ | Panthers4,Golden Knights1 | RECAP | ||
2025-01-26 | @ | Kings4,Panthers2 | RECAP | ||
2025-01-29 | @ | Blackhawks4,Panthers1 | RECAP | ||
2025-01-30 | @ | Islanders3,Panthers4 (OT) | RECAP | ||
2025-02-01 | @ | Panthers4,Capitals3 (SO) | RECAP | ||
2025-02-03 | @ | Panthers3,Blues4 (OT) | RECAP | ||
2025-02-05 | @ | ||||
2025-02-19 | @ | ||||
2025-02-22 | @ | ||||
2025-02-24 | @ | ||||
2025-02-26 | @ | ||||
2025-02-28 | @ | ||||
2025-03-03 | @ | ||||
2025-03-05 | @ | ||||
2025-03-08 | @ | ||||
2025-03-10 | @ | ||||
2025-03-12 | @ | ||||
2025-03-13 | @ | ||||
2025-03-17 | @ | ||||
2025-03-19 | @ | ||||
2025-03-20 | @ | ||||
2025-03-25 | @ | ||||
2025-03-27 | @ | ||||
2025-03-29 | @ | ||||
2025-03-30 | @ | ||||
2025-04-02 | @ | ||||
2025-04-03 | @ | ||||
2025-04-05 | @ | ||||
2025-04-07 | @ | ||||
2025-04-09 | @ | ||||
2025-04-11 | @ | ||||
2025-04-12 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,535,000$ | 0$ | 82,535,000$ | 965,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | FLA Live Arena | |
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 | 153406 | 126190 | 51603 | 102425 | 25216 |
Attendance PCT | 94.70% | 93.47% | 95.56% | 94.84% | 93.39% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 16994 - 94.41% | 610,525$ | 16,484,186$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,535,000$ | 82,535,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
52,341,831$ | 82,535,000$ | 52,341,831$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,547,356$ | 70 | 421,097$ | 29,476,790$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,772,446$ | 82,535,000$ | -557,397,225$ | -578,622,315$ |
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 |
---|---|---|---|---|---|---|---|
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 2024 | |||||
Aaron Irving | |||||
Adam Wilsby | 2020 | 114 | |||
Andrei Altybarmakyan | |||||
Antoine Dorion | 2024 | 218 | |||
Austin Baker | 2024 | 221 | |||
Brinson Pasichnuk | Link | ||||
Caedan Bankier | 2021 | 90 | |||
Colin Wilson | |||||
Cooper Moore | 2019 | 139 | |||
Daniel Laatsch | 2021 | 219 | |||
Danny Nelson | 2023 | 73 | |||
Dennis Busby | 2018 | 148 | |||
Dmitri Kuzmin | 2021 | 91 | |||
Dmitri Rashevsky | 2021 | 155 | |||
Drew Commesso | 2020 | 39 | |||
Eerik Wallenius | 2024 | 154 | |||
Emil Hemming | 2024 | 26 | |||
Graham Sward | 2022 | 155 | |||
Hoyt Stanley | 2023 | 122 | |||
Jack Kopacka | 2016 | 92 | |||
Jack Rathbone | Link | ||||
Jiri Felcman | 2023 | 110 | |||
Justin Robidas | 2021 | 118 | |||
Karlis Cukste | |||||
Kasper Kotkansalo | |||||
Leon Gawanke | |||||
Linus Eriksson | 2024 | 58 | |||
Linus Nassen | 2016 | 103 | |||
Luke Devlin | 2022 | 187 | |||
Luke Henman | 2018 | 104 | |||
Luke Osburn | 2024 | 125 | |||
Martin Frk | Link | ||||
Matej Pekar | 2018 | 87 | |||
Mattias Havelid | 2022 | 59 | |||
Max Zimmer | 2016 | 117 | |||
Maxim Denezhkin | 2019 | 201 | |||
Maxim Strbak | 2023 | 69 | |||
Michael Fisher | 2022 | 91 | |||
Miska Kukkonen | 2018 | 106 | |||
Mitch Reinke | |||||
Mitchell Heard | |||||
Nate Schnarr | |||||
Niklas Hansson | |||||
Nikolaj Krag Christensen | 2016 | 207 | |||
Noah Carroll | 2016 | 177 | |||
Noah Laba | 2022 | 123 | |||
Ondrej Becher | 2024 | 92 | |||
Patrick Geary | 2024 | 189 | |||
Patrick Sanvido | |||||
Petter Hansson | |||||
Phil Kessel | Link | ||||
Reese Laubach | 2022 | 219 | |||
Rocco Grimaldi | Link | ||||
Sergei Boikov | |||||
Simon Zether | 2024 | 157 | |||
Stepan Gorbunov | 2024 | 186 | |||
Sutter Muzzatti | 2023 | 154 | |||
Ty Taylor | 2018 | 210 | |||
Viggo Gustafsson | 2024 | 90 | |||
Ville Rasanen | |||||
William Smith | 2023 | 5 | |||
Yegor Rykov | 2016 | 147 | |||
Zachary Emond | 2018 | 179 | |||
Zachary Nagelvoort | |||||
daniel oregan |
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