Florida Panthers | |
GP: 6 | W: 4 | L: 2 GF: 23 | GA: 20 | PP%: 23.81% | PK%: 72.73% GM : Matt Rensby-Wills | Morale : 50 | Team Overall : 73 Next Games #59 vs New York Rangers |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mika Zibanejad | X | 100.00 | 73 | 40 | 87 | 82 | 79 | 83 | 92 | 81 | 79 | 86 | 80 | 74 | 69 | 79 | 75 | 0 | 50 | 80 | 0 | 30 | 2 | 9,000,000$ | ||||
2 | Adrian Kempe | X | X | 100.00 | 76 | 64 | 79 | 79 | 78 | 80 | 93 | 74 | 57 | 77 | 86 | 75 | 78 | 70 | 59 | 0 | 50 | 78 | 0 | 27 | 3 | 4,000,000$ | |||
3 | Timo Meier | X | X | 100.00 | 80 | 64 | 80 | 82 | 90 | 82 | 92 | 74 | 60 | 78 | 82 | 71 | 64 | 70 | 59 | 0 | 50 | 78 | 0 | 27 | 5 | 8,000,000$ | |||
4 | Steven Stamkos (C) | X | X | 100.00 | 72 | 40 | 77 | 77 | 71 | 81 | 91 | 79 | 82 | 86 | 78 | 70 | 71 | 87 | 93 | 0 | 50 | 78 | 0 | 33 | 3 | 5,250,000$ | |||
5 | Andrei Kuzmenko | X | X | 100.00 | 67 | 40 | 91 | 74 | 79 | 74 | 76 | 76 | 51 | 81 | 83 | 71 | 80 | 57 | 58 | 0 | 50 | 76 | 0 | 27 | 2 | 2,250,000$ | |||
6 | Joel Eriksson Ek | X | X | 100.00 | 81 | 40 | 77 | 76 | 80 | 81 | 92 | 73 | 79 | 82 | 71 | 78 | 74 | 68 | 66 | 0 | 50 | 76 | 0 | 26 | 3 | 3,000,000$ | |||
7 | Reilly Smith | X | X | 100.00 | 71 | 40 | 88 | 77 | 71 | 76 | 87 | 71 | 54 | 79 | 76 | 71 | 70 | 79 | 72 | 0 | 50 | 75 | 0 | 32 | 2 | 1,750,000$ | |||
8 | Jean-Gabriel Pageau | X | 100.00 | 82 | 40 | 88 | 80 | 74 | 78 | 90 | 68 | 88 | 80 | 66 | 78 | 54 | 75 | 71 | 0 | 50 | 75 | 0 | 30 | 2 | 3,150,000$ | ||||
9 | Tomas Hertl | X | X | X | 100.00 | 73 | 40 | 78 | 76 | 84 | 82 | 92 | 73 | 85 | 82 | 71 | 64 | 56 | 76 | 68 | 0 | 50 | 75 | 0 | 29 | 1 | 5,500,000$ | ||
10 | Jordan Staal (A) | X | 100.00 | 80 | 40 | 82 | 70 | 85 | 74 | 93 | 64 | 87 | 74 | 69 | 79 | 54 | 93 | 87 | 0 | 50 | 74 | 0 | 35 | 1 | 2,300,000$ | ||||
11 | J.T. Compher | X | X | X | 100.00 | 71 | 64 | 84 | 74 | 75 | 85 | 90 | 69 | 79 | 81 | 68 | 78 | 54 | 68 | 59 | 0 | 50 | 74 | 0 | 28 | 1 | 1,175,000$ | ||
12 | William Carrier | X | 100.00 | 79 | 40 | 78 | 71 | 87 | 65 | 83 | 65 | 52 | 73 | 74 | 75 | 54 | 66 | 59 | 0 | 50 | 72 | 0 | 28 | 4 | 1,600,000$ | ||||
13 | Erik Karlsson | X | 100.00 | 67 | 40 | 84 | 96 | 75 | 97 | 87 | 84 | 40 | 95 | 73 | 71 | 57 | 84 | 81 | 0 | 50 | 82 | 0 | 33 | 1 | 2,000,000$ | ||||
14 | Roman Josi (A) | X | 100.00 | 67 | 40 | 78 | 89 | 80 | 96 | 87 | 75 | 40 | 84 | 70 | 80 | 58 | 81 | 83 | 0 | 50 | 80 | 0 | 33 | 2 | 6,000,000$ | ||||
15 | Josh Morrissey | X | 100.00 | 68 | 64 | 80 | 83 | 73 | 94 | 91 | 77 | 40 | 90 | 68 | 76 | 54 | 70 | 67 | 0 | 50 | 78 | 0 | 28 | 2 | 3,750,000$ | ||||
16 | Devon Toews | X | 100.00 | 72 | 40 | 85 | 84 | 74 | 96 | 89 | 69 | 40 | 84 | 62 | 90 | 54 | 64 | 59 | 0 | 50 | 78 | 0 | 29 | 4 | 8,000,000$ | ||||
17 | Evan Bouchard | X | 100.00 | 69 | 40 | 83 | 81 | 73 | 80 | 90 | 66 | 40 | 78 | 62 | 83 | 54 | 60 | 58 | 0 | 50 | 73 | 0 | 23 | 5 | 5,000,000$ | ||||
18 | Brenden Dillon | X | 100.00 | 76 | 69 | 78 | 65 | 87 | 82 | 94 | 61 | 40 | 76 | 58 | 93 | 54 | 81 | 60 | 0 | 50 | 73 | 0 | 32 | 3 | 1,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Seth Jarvis | X | X | X | 100.00 | 81 | 40 | 90 | 73 | 70 | 74 | 88 | 65 | 55 | 78 | 67 | 71 | 54 | 59 | 58 | 0 | 50 | 71 | 0 | 21 | 2 | 975,000$ | ||
2 | Shane Pinto | X | 100.00 | 72 | 40 | 87 | 65 | 77 | 74 | 78 | 64 | 80 | 72 | 70 | 71 | 54 | 57 | 58 | 0 | 50 | 70 | 0 | 22 | 1 | 925,000$ | ||||
3 | FLA Cap Hit | X | HO | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 50 | 1 | 0 | 29 | 1 | 3,100,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Aidan Dudas | X | 100.00 | 55 | 55 | 65 | 60 | 55 | 68 | 66 | 59 | 55 | 57 | 59 | 57 | 54 | 57 | 54 | 0 | 50 | 59 | 0 | 23 | 1 | 825,000$ | ||||
2 | Adam Raska | X | X | 100.00 | 58 | 53 | 60 | 57 | 60 | 65 | 64 | 56 | 55 | 56 | 55 | 59 | 54 | 55 | 53 | 0 | 50 | 57 | 0 | 22 | 1 | 675,000$ | |||
3 | Scott Harrington | X | 100.00 | 65 | 41 | 85 | 68 | 78 | 73 | 64 | 58 | 40 | 70 | 60 | 80 | 54 | 63 | 59 | 0 | 50 | 68 | 0 | 30 | 1 | 975,000$ | ||||
4 | Jack Rathbone | X | 100.00 | 57 | 52 | 72 | 59 | 64 | 63 | 59 | 56 | 40 | 59 | 57 | 65 | 54 | 58 | 56 | 0 | 50 | 60 | 0 | 24 | 1 | 725,000$ | ||||
5 | Oskari Laaksonen | X | 100.00 | 55 | 55 | 67 | 56 | 61 | 61 | 60 | 56 | 40 | 56 | 55 | 60 | 54 | 59 | 55 | 0 | 50 | 57 | 0 | 24 | 1 | 700,000$ | ||||
6 | Santeri Hatakka | X | 100.00 | 54 | 54 | 68 | 54 | 63 | 55 | 55 | 54 | 40 | 54 | 54 | 60 | 54 | 55 | 53 | 0 | 50 | 56 | 0 | 22 | 2 | 725,000$ | ||||
7 | Joey Keane | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 24 | 2 | 700,000$ | ||||
8 | Nick Cousins | X | 100.00 | 74 | 66 | 83 | 71 | 78 | 61 | 90 | 62 | 73 | 75 | 64 | 65 | 58 | 71 | 59 | 0 | 50 | 68 | 0 | 30 | 1 | 975,000$ | ||||
9 | Scott Reedy | X | 100.00 | 55 | 55 | 66 | 58 | 69 | 65 | 63 | 58 | 55 | 56 | 58 | 59 | 54 | 59 | 55 | 0 | 50 | 59 | 0 | 24 | 1 | 825,000$ | ||||
10 | Ryan Francis | X | 100.00 | 55 | 54 | 68 | 54 | 57 | 55 | 55 | 54 | 70 | 54 | 54 | 60 | 54 | 55 | 53 | 0 | 50 | 55 | 0 | 21 | 2 | 775,000$ | ||||
11 | Dmitri Ovchinnikov | X | 100.00 | 54 | 54 | 68 | 54 | 56 | 55 | 54 | 54 | 55 | 54 | 54 | 60 | 54 | 54 | 52 | 0 | 50 | 55 | 0 | 21 | 2 | 775,000$ | ||||
12 | Yevgeni Oksentyuk (R) | X | X | 100.00 | 50 | 40 | 50 | 60 | 50 | 60 | 60 | 50 | 50 | 55 | 55 | 50 | 50 | 50 | 50 | 0 | 50 | 54 | 0 | 22 | 2 | 725,000$ | |||
13 | Nick Cicek | X | 100.00 | 60 | 59 | 68 | 58 | 70 | 64 | 60 | 55 | 40 | 61 | 54 | 64 | 54 | 56 | 55 | 0 | 50 | 60 | 0 | 23 | 1 | 625,000$ | ||||
14 | Ilya Solovyov | X | 100.00 | 55 | 54 | 65 | 58 | 68 | 67 | 65 | 57 | 40 | 57 | 56 | 64 | 54 | 57 | 54 | 0 | 50 | 60 | 0 | 23 | 1 | 675,000$ | ||||
15 | Ronan Seeley (R) | X | 100.00 | 54 | 55 | 67 | 59 | 63 | 68 | 65 | 58 | 40 | 58 | 56 | 57 | 54 | 54 | 52 | 0 | 50 | 58 | 0 | 21 | 3 | 675,000$ | ||||
16 | Gannon Laroque | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 20 | 2 | 825,000$ | ||||
TEAM AVERAGE | 100.00 | 65 | 48 | 73 | 67 | 69 | 71 | 75 | 63 | 55 | 69 | 63 | 67 | 56 | 64 | 60 | 0 | 50 | 66 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 100.00 | 88 | 99 | 99 | 88 | 82 | 74 | 93 | 88 | 90 | 77 | 77 | 77 | 64 | 0 | 50 | 87 | 0 | 30 | 6 | 7,000,000$ | |
2 | Jaroslav Halak | 100.00 | 79 | 70 | 72 | 70 | 85 | 74 | 82 | 68 | 85 | 75 | 80 | 83 | 65 | 0 | 50 | 77 | 0 | 38 | 1 | 1,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Ukko-Pekka Luukkonen | 100.00 | 64 | 72 | 73 | 87 | 77 | 70 | 77 | 60 | 77 | 82 | 64 | 57 | 55 | 0 | 50 | 72 | 0 | 24 | 2 | 950,000$ | |
2 | Filip Lindberg | 100.00 | 56 | 59 | 59 | 65 | 66 | 54 | 67 | 59 | 57 | 57 | 58 | 58 | 54 | 0 | 50 | 60 | 0 | 24 | 1 | 675,000$ | |
TEAM AVERAGE | 100.00 | 72 | 75 | 76 | 78 | 78 | 68 | 80 | 69 | 77 | 73 | 70 | 69 | 60 | 0 | 50 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Steven Stamkos | Florida Panthers | C/RW | 6 | 3 | 5 | 8 | -1 | 2 | 0 | 8 | 14 | 13 | 3 | 10 | 23.08% | 0 | 103 | 17.21 | 0 | 3 | 3 | 5 | 15 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 61.90% | 147 | 0 | 0 | 0 | 1 | 1.55 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2 | Josh Morrissey | Florida Panthers | D | 6 | 1 | 6 | 7 | -1 | 2 | 0 | 9 | 10 | 9 | 1 | 6 | 11.11% | 4 | 131 | 21.84 | 1 | 0 | 1 | 2 | 16 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
3 | Roman Josi | Florida Panthers | D | 6 | 1 | 6 | 7 | 3 | 0 | 0 | 11 | 6 | 13 | 4 | 6 | 7.69% | 7 | 141 | 23.56 | 0 | 1 | 1 | 7 | 15 | 0 | 0 | 0 | 0 | 17 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
4 | Erik Karlsson | Florida Panthers | D | 6 | 1 | 5 | 6 | 3 | 6 | 0 | 5 | 9 | 12 | 7 | 7 | 8.33% | 1 | 128 | 21.46 | 1 | 1 | 2 | 8 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Tomas Hertl | Florida Panthers | C/LW/RW | 6 | 2 | 3 | 5 | -1 | 2 | 0 | 8 | 6 | 12 | 6 | 14 | 16.67% | 0 | 103 | 17.18 | 1 | 1 | 2 | 2 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.52% | 33 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6 | Jordan Staal | Florida Panthers | C | 6 | 4 | 0 | 4 | 1 | 6 | 0 | 8 | 13 | 9 | 3 | 3 | 44.44% | 1 | 102 | 17.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 59.15% | 142 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
7 | Timo Meier | Florida Panthers | LW/RW | 6 | 1 | 3 | 4 | 2 | 2 | 0 | 9 | 8 | 8 | 6 | 11 | 12.50% | 1 | 100 | 16.82 | 0 | 1 | 1 | 2 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77.78% | 9 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8 | Devon Toews | Florida Panthers | D | 6 | 0 | 4 | 4 | -1 | 4 | 0 | 14 | 5 | 4 | 1 | 0 | 0% | 9 | 128 | 21.34 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Mika Zibanejad | Florida Panthers | C | 6 | 2 | 2 | 4 | 0 | 4 | 0 | 5 | 9 | 17 | 10 | 15 | 11.76% | 0 | 101 | 16.88 | 0 | 1 | 1 | 10 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.06% | 98 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Andrei Kuzmenko | Florida Panthers | LW/RW | 6 | 2 | 1 | 3 | -1 | 0 | 0 | 5 | 6 | 16 | 6 | 11 | 12.50% | 3 | 105 | 17.57 | 2 | 0 | 2 | 5 | 18 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Evan Bouchard | Florida Panthers | D | 6 | 1 | 2 | 3 | 2 | 2 | 0 | 2 | 5 | 3 | 1 | 5 | 33.33% | 7 | 86 | 14.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Brenden Dillon | Florida Panthers | D | 6 | 0 | 3 | 3 | 2 | 0 | 0 | 11 | 8 | 2 | 1 | 2 | 0% | 5 | 86 | 14.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Adrian Kempe | Florida Panthers | LW/RW | 6 | 2 | 0 | 2 | 0 | 5 | 5 | 8 | 7 | 17 | 1 | 13 | 11.76% | 1 | 108 | 18.16 | 0 | 0 | 0 | 1 | 15 | 0 | 0 | 0 | 3 | 11 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
14 | Reilly Smith | Florida Panthers | LW/RW | 6 | 0 | 2 | 2 | -1 | 0 | 0 | 7 | 7 | 13 | 5 | 12 | 0% | 0 | 105 | 17.52 | 0 | 1 | 1 | 4 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
15 | Joel Eriksson Ek | Florida Panthers | C/LW | 6 | 1 | 0 | 1 | 1 | 8 | 0 | 10 | 7 | 13 | 3 | 4 | 7.69% | 1 | 103 | 17.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | J.T. Compher | Florida Panthers | C/LW/RW | 6 | 1 | 0 | 1 | 4 | 2 | 0 | 2 | 3 | 4 | 1 | 5 | 25.00% | 0 | 34 | 5.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Jean-Gabriel Pageau | Florida Panthers | C | 6 | 1 | 0 | 1 | 4 | 2 | 0 | 1 | 8 | 3 | 1 | 1 | 33.33% | 1 | 50 | 8.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 56.52% | 69 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | William Carrier | Florida Panthers | LW | 6 | 0 | 0 | 0 | 4 | 2 | 0 | 6 | 3 | 4 | 0 | 0 | 0% | 0 | 41 | 6.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 108 | 23 | 42 | 65 | 20 | 49 | 5 | 129 | 134 | 172 | 60 | 125 | 13.37% | 41 | 1763 | 16.33 | 5 | 9 | 14 | 46 | 171 | 0 | 0 | 0 | 3 | 141 | 4 | 1 | 57.04% | 540 | 0 | 0 | 0 | 1 | 0.74 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | 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 |
# | 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 | Connor Hellebuyck | Florida Panthers | 6 | 4 | 2 | 0 | 0.895 | 3.33 | 360 | 0 | 0 | 20 | 191 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 1 | 0 | 0 |
Team Total or Average | 6 | 4 | 2 | 0 | 0.895 | 3.33 | 360 | 0 | 0 | 20 | 191 | 0 | 1 | 0 | 0 | 6 | 0 | 1 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Waiver Possible | Contract | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | Florida Panthers | LW/RW | 27 | 1996-09-13 | No | 200 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 4,000,000$ | 2,000,000$ | 4,000,000$ | 2,000,000$ | No | 4,000,000$ | 4,000,000$ | Link | |||||||
Andrei Kuzmenko | Florida Panthers | LW/RW | 27 | 1996-02-04 | No | 194 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 2,250,000$ | 1,125,000$ | 2,250,000$ | 1,125,000$ | No | 2,250,000$ | Link | ||||||||
Brenden Dillon | Florida Panthers | D | 32 | 1990-11-13 | No | 224 Lbs | 6 ft4 | No | No | No | No | 3 | Pro & Farm | 1,000,000$ | 500,000$ | 1,000,000$ | 500,000$ | No | 1,000,000$ | 1,000,000$ | Link | |||||||
Connor Hellebuyck | Florida Panthers | G | 30 | 1993-05-19 | No | 216 Lbs | 6 ft4 | No | No | No | No | 6 | Pro & Farm | 7,000,000$ | 3,500,000$ | 7,000,000$ | 3,500,000$ | No | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | Link | ||||
Devon Toews | Florida Panthers | D | 29 | 1994-02-21 | No | 191 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 8,000,000$ | 4,000,000$ | 8,000,000$ | 4,000,000$ | No | 8,000,000$ | 8,000,000$ | 8,000,000$ | Link | ||||||
Erik Karlsson | Florida Panthers | D | 33 | 1990-05-31 | No | 190 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 2,000,000$ | 1,000,000$ | 2,000,000$ | 1,000,000$ | No | Link | |||||||||
Evan Bouchard | Florida Panthers | D | 23 | 1999-10-20 | No | 194 Lbs | 6 ft3 | No | No | No | No | 5 | Pro & Farm | 5,000,000$ | 2,500,000$ | 5,000,000$ | 2,500,000$ | No | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | Link | |||||
FLA Cap Hit | Florida Panthers | D | 29 | 1993-11-23 2:50:19 PM | No | 150 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 3,100,000$ | 1,550,000$ | 3,100,000$ | 1,550,000$ | No | ||||||||||
J.T. Compher | Florida Panthers | C/LW/RW | 28 | 1995-04-08 | No | 190 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 1,175,000$ | 587,500$ | 1,175,000$ | 587,500$ | No | Link | |||||||||
Jaroslav Halak | Florida Panthers | G | 38 | 1985-05-13 | No | 189 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 1,500,000$ | 750,000$ | 1,500,000$ | 750,000$ | No | Link | |||||||||
Jean-Gabriel Pageau | Florida Panthers | C | 30 | 1992-11-11 | No | 185 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 3,150,000$ | 1,575,000$ | 3,150,000$ | 1,575,000$ | No | 3,150,000$ | Link | ||||||||
Joel Eriksson Ek | Florida Panthers | C/LW | 26 | 1997-01-29 | No | 207 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 3,000,000$ | 1,500,000$ | 3,000,000$ | 1,500,000$ | No | 3,000,000$ | 3,000,000$ | Link | |||||||
Jordan Staal | Florida Panthers | C | 35 | 1988-09-10 | No | 220 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 2,300,000$ | 1,150,000$ | 2,300,000$ | 1,150,000$ | No | Link | |||||||||
Josh Morrissey | Florida Panthers | D | 28 | 1995-03-28 | No | 185 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 3,750,000$ | 1,875,000$ | 3,750,000$ | 1,875,000$ | No | 3,750,000$ | Link | ||||||||
Mika Zibanejad | Florida Panthers | C | 30 | 1993-04-18 | No | 202 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 9,000,000$ | 4,500,000$ | 9,000,000$ | 4,500,000$ | No | 9,000,000$ | Link | ||||||||
Reilly Smith | Florida Panthers | LW/RW | 32 | 1991-04-01 | No | 185 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 1,750,000$ | 875,000$ | 1,750,000$ | 875,000$ | No | 1,750,000$ | Link | ||||||||
Roman Josi | Florida Panthers | D | 33 | 1990-06-01 | No | 201 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 6,000,000$ | 3,000,000$ | 6,000,000$ | 3,000,000$ | No | 6,000,000$ | Link | ||||||||
Seth Jarvis | Florida Panthers | C/LW/RW | 21 | 2002-02-01 | No | 175 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 975,000$ | 487,500$ | 975,000$ | 487,500$ | No | 975,000$ | Link | ||||||||
Shane Pinto | Florida Panthers | C | 22 | 2000-11-12 | No | 201 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 462,500$ | 925,000$ | 462,500$ | No | Link | |||||||||
Steven Stamkos | Florida Panthers | C/RW | 33 | 1990-02-07 | No | 182 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 5,250,000$ | 2,625,000$ | 5,250,000$ | 2,625,000$ | No | 5,250,000$ | 5,250,000$ | Link | |||||||
Timo Meier | Florida Panthers | LW/RW | 27 | 1996-10-08 | No | 220 Lbs | 6 ft1 | No | No | No | No | 5 | Pro & Farm | 8,000,000$ | 4,000,000$ | 8,000,000$ | 4,000,000$ | No | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | Link | |||||
Tomas Hertl | Florida Panthers | C/LW/RW | 29 | 1993-11-12 | No | 215 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 5,500,000$ | 2,750,000$ | 5,500,000$ | 2,750,000$ | No | Link | |||||||||
William Carrier | Florida Panthers | LW | 28 | 1994-12-20 | No | 218 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 1,600,000$ | 800,000$ | 1,600,000$ | 800,000$ | No | 1,600,000$ | 1,600,000$ | 1,600,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 29.13 | 197 Lbs | 6 ft1 | 2.48 | 3,748,913$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
86,225,000$ | 71,225,000$ | 44,350,000$ | 31,100,000$ | 21,500,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Reilly Smith | Mika Zibanejad | Adrian Kempe | 30 | 0 | 2 | 3 |
2 | Joel Eriksson Ek | Steven Stamkos | Timo Meier | 30 | 0 | 2 | 3 |
3 | Tomas Hertl | Jordan Staal | Andrei Kuzmenko | 30 | 0 | 1 | 4 |
4 | William Carrier | Jean-Gabriel Pageau | J.T. Compher | 10 | 0 | 3 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Roman Josi | Erik Karlsson | 40 | 0 | 4 | 1 | |
2 | Devon Toews | Josh Morrissey | 40 | 0 | 4 | 1 | |
3 | Evan Bouchard | Brenden Dillon | 20 | 0 | 4 | 1 | |
4 | Josh Morrissey | Erik Karlsson | 0 | 0 | 4 | 1 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Adrian Kempe | Steven Stamkos | Timo Meier | 60 | 0 | 0 | 5 |
2 | Reilly Smith | Tomas Hertl | Andrei Kuzmenko | 40 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mika Zibanejad | Erik Karlsson | 60 | 0 | 0 | 5 | |
2 | Roman Josi | Josh Morrissey | 40 | 0 | 0 | 5 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Jordan Staal | Joel Eriksson Ek | 50 | 0 | 5 | 0 |
2 | Jean-Gabriel Pageau | William Carrier | 50 | 0 | 5 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Devon Toews | Roman Josi | 50 | 0 | 5 | 0 |
2 | Evan Bouchard | Brenden Dillon | 50 | 0 | 5 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Jordan Staal | 50 | 0 | 5 | 0 | Devon Toews | Roman Josi | 50 | 0 | 5 | 0 |
2 | Jean-Gabriel Pageau | 50 | 0 | 5 | 0 | Evan Bouchard | Brenden Dillon | 50 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Mika Zibanejad | Adrian Kempe | 50 | 0 | 3 | 2 |
2 | Steven Stamkos | Timo Meier | 50 | 0 | 3 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Erik Karlsson | Roman Josi | 50 | 0 | 3 | 2 |
2 | Josh Morrissey | Devon Toews | 50 | 0 | 3 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Timo Meier | Steven Stamkos | Adrian Kempe | Mika Zibanejad | Erik Karlsson |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Joel Eriksson Ek | Jordan Staal | Jean-Gabriel Pageau | Devon Toews | Brenden Dillon |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jean-Gabriel Pageau, Jordan Staal, William Carrier | Joel Eriksson Ek, Jean-Gabriel Pageau | William Carrier |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Devon Toews, Evan Bouchard, Brenden Dillon | Devon Toews | Josh Morrissey, Erik Karlsson |
Penalty Shots |
---|
Andrei Kuzmenko, Adrian Kempe, Joel Eriksson Ek, Steven Stamkos, Mika Zibanejad |
Goalie |
---|
#1 : Connor Hellebuyck, #2 : Jaroslav Halak |
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 ) |
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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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Toronto Maple Leafs | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 8 | 0.667 | 23 | 42 | 65 | 0 | 0 | 9 | 8 | 6 | 0 | 172 | 55 | 59 | 58 | 0 | 191 | 41 | 49 | 129 | 21 | 5 | 23.81% | 22 | 6 | 72.73% | 0 | 116 | 210 | 55.24% | 125 | 218 | 57.34% | 67 | 112 | 59.82% | 141 | 96 | 140 | 45 | 77 | 40 |
Total | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 8 | 0.667 | 23 | 42 | 65 | 0 | 0 | 9 | 8 | 6 | 0 | 172 | 55 | 59 | 58 | 0 | 191 | 41 | 49 | 129 | 21 | 5 | 23.81% | 22 | 6 | 72.73% | 0 | 116 | 210 | 55.24% | 125 | 218 | 57.34% | 67 | 112 | 59.82% | 141 | 96 | 140 | 45 | 77 | 40 | |
_Since Last GM Reset | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 8 | 0.667 | 23 | 42 | 65 | 0 | 0 | 9 | 8 | 6 | 0 | 172 | 55 | 59 | 58 | 0 | 191 | 41 | 49 | 129 | 21 | 5 | 23.81% | 22 | 6 | 72.73% | 0 | 116 | 210 | 55.24% | 125 | 218 | 57.34% | 67 | 112 | 59.82% | 141 | 96 | 140 | 45 | 77 | 40 | |
_Vs Conference | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 8 | 0.667 | 23 | 42 | 65 | 0 | 0 | 9 | 8 | 6 | 0 | 172 | 55 | 59 | 58 | 0 | 191 | 41 | 49 | 129 | 21 | 5 | 23.81% | 22 | 6 | 72.73% | 0 | 116 | 210 | 55.24% | 125 | 218 | 57.34% | 67 | 112 | 59.82% | 141 | 96 | 140 | 45 | 77 | 40 | |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 8 | 0.667 | 23 | 42 | 65 | 0 | 0 | 9 | 8 | 6 | 0 | 172 | 55 | 59 | 58 | 0 | 191 | 41 | 49 | 129 | 21 | 5 | 23.81% | 22 | 6 | 72.73% | 0 | 116 | 210 | 55.24% | 125 | 218 | 57.34% | 67 | 112 | 59.82% | 141 | 96 | 140 | 45 | 77 | 40 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
6 | 8 | W3 | 23 | 42 | 65 | 172 | 191 | 41 | 49 | 129 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 4 | 2 | 0 | 0 | 0 | 0 | 23 | 20 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 11 | 11 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 12 | 9 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 2 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
21 | 5 | 23.81% | 22 | 6 | 72.73% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
55 | 59 | 58 | 0 | 9 | 8 | 6 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
116 | 210 | 55.24% | 125 | 218 | 57.34% | 67 | 112 | 59.82% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
141 | 96 | 140 | 45 | 77 | 40 |
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 ) |
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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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
2 | 6 | Toronto Maple Leafs | 5 | Florida Panthers | 3 | BL | BoxScore | |||
4 | 14 | Toronto Maple Leafs | 2 | Florida Panthers | 3 | BW | BoxScore | |||
6 | 22 | Florida Panthers | 3 | Toronto Maple Leafs | 5 | AL | BoxScore | |||
8 | 30 | Florida Panthers | 4 | Toronto Maple Leafs | 2 | AW | BoxScore | |||
10 | 38 | Toronto Maple Leafs | 4 | Florida Panthers | 5 | BW | BoxScore | |||
12 | 46 | Florida Panthers | 5 | Toronto Maple Leafs | 2 | AW | BoxScore | |||
16 | 59 | New York Rangers | - | Florida Panthers | - | |||||
18 | 63 | New York Rangers | - | Florida Panthers | - | |||||
20 | 67 | Florida Panthers | - | New York Rangers | - | |||||
22 | 71 | Florida Panthers | - | New York Rangers | - | |||||
24 | 75 | New York Rangers | - | Florida Panthers | - | |||||
26 | 79 | Florida Panthers | - | New York Rangers | - | |||||
28 | 83 | New York Rangers | - | Florida Panthers | - |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 80 | 50 | 28 | 15 | 150 |
Attendance | 18,000 | 14,939 | 6,000 | 12,000 | 3,000 |
Attendance PCT | 100.00% | 99.59% | 100.00% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
38 | 17980 - 99.89% | 994,983$ | 2,984,950$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 86,225,000$ | 45,225,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 22 | 1 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 14 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 8,465,435$ | 8,465,435$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 86,625,000$ | 86,625,000$ | -61,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Link |
---|---|---|---|---|---|
Connor Levis | Florida Panthers | 0 | 0 | ||
Dmitri Nikolayev | Florida Panthers | 0 | 0 | ||
Dominic James | Florida Panthers | 0 | 0 | ||
Dylan Anhorn | Florida Panthers | 0 | 0 | ||
Issac Belliveau | Florida Panthers | 0 | 0 | ||
Jake Furlong | Florida Panthers | 0 | 0 | ||
Luca Cagnoni | Florida Panthers | 2023 | 43 | ||
Luke Grainger | Florida Panthers | 0 | 0 | ||
Matthew Mania | Florida Panthers | 2023 | 85 | ||
Maxim Beryozkin | Florida Panthers | 0 | 0 | ||
Maxim Mayorov | Florida Panthers | 0 | 0 | ||
Miguel Tourigny | Florida Panthers | 0 | 0 | ||
Nikita Quapp | Florida Panthers | 0 | 0 | ||
Nikita Yevseyev | Florida Panthers | 0 | 0 | ||
Sergei Murashov | Florida Panthers | 0 | 0 | ||
Talyn Boyko | Florida Panthers | 0 | 0 | ||
Timur Mukhanov | Florida Panthers | 2023 | 94 | ||
Vadim Moroz | Florida Panthers | 0 | 0 | ||
Zac Funk | Florida Panthers | 0 | 0 | ||
Zam Plante | Florida Panthers | 0 | 0 |
Year | R1 | R2 | R3 |
---|---|---|---|
2024 | |||
2025 | |||
2026 | |||
2027 | |||
2028 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mika Zibanejad | 82 | 42 | 53 | 95 | 25 | 16 | 54 | 181 | 315 | 13.33% | 14 | 1520 | 18.54 | 18 | 20 | 38 | 98 | 0 | 0 | 0 | 0 | 6 | 4 | 52.99% | 2 | 1.25 | 1 | 3 |
2 | Josh Morrissey | 82 | 12 | 62 | 74 | 15 | 62 | 105 | 110 | 142 | 8.45% | 76 | 1704 | 20.78 | 6 | 22 | 28 | 82 | 0 | 0 | 0 | 2 | 2 | 0 | 0% | 0 | 0.87 | 0 | 0 |
3 | Erik Karlsson | 82 | 15 | 58 | 73 | -5 | 34 | 100 | 125 | 158 | 9.49% | 82 | 1822 | 22.22 | 12 | 27 | 39 | 99 | 0 | 0 | 0 | 0 | 1 | 2 | 0% | 0 | 0.80 | 0 | 0 |
4 | Andrei Kuzmenko | 83 | 35 | 36 | 71 | -7 | 14 | 77 | 108 | 278 | 12.59% | 15 | 1649 | 19.87 | 7 | 14 | 21 | 60 | 0 | 0 | 0 | 2 | 3 | 2 | 42.62% | 0 | 0.86 | 1 | 2 |
5 | Roman Josi | 82 | 21 | 47 | 68 | -1 | 50 | 134 | 119 | 193 | 10.88% | 127 | 1887 | 23.02 | 14 | 16 | 30 | 100 | 0 | 0 | 0 | 2 | 2 | 0 | 0% | 0 | 0.72 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 67 | 42 | 21 | 4 | 0.905 | 2.77 | 4046 | 2 | 2 | 187 | 1968 | 0 | 1 | 0 | 0.917 | 12 |
2 | Jaroslav Halak | 15 | 10 | 4 | 1 | 0.880 | 3.40 | 901 | 2 | 0 | 51 | 425 | 0 | 0 | 0 | 0 | 0 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2023 | 82 | 47 | 25 | 0 | 2 | 5 | 3 | 0 | 290 | 238 | 52 | 41 | 23 | 15 | 0 | 0 | 3 | 0 | 0 | 133 | 120 | 13 | 41 | 24 | 10 | 0 | 2 | 2 | 3 | 0 | 157 | 118 | 39 | 109 | 290 | 529 | 819 | 0 | 2 | 103 | 93 | 89 | 6 | 2651 | 836 | 870 | 923 | 34 | 2393 | 704 | 716 | 1622 | 323 | 92 | 28.48% | 301 | 67 | 77.74% | 2 | 1597 | 2957 | 54.01% | 1512 | 2761 | 54.76% | 693 | 1283 | 54.01% | 2034 | 1404 | 1862 | 609 | 1057 | 540 |
Total Regular Season | 82 | 47 | 25 | 0 | 2 | 5 | 3 | 0 | 290 | 238 | 52 | 41 | 23 | 15 | 0 | 0 | 3 | 0 | 0 | 133 | 120 | 13 | 41 | 24 | 10 | 0 | 2 | 2 | 3 | 0 | 157 | 118 | 39 | 109 | 290 | 529 | 819 | 0 | 2 | 103 | 93 | 89 | 6 | 2651 | 836 | 870 | 923 | 34 | 2393 | 704 | 716 | 1622 | 323 | 92 | 28.48% | 301 | 67 | 77.74% | 2 | 1597 | 2957 | 54.01% | 1512 | 2761 | 54.76% | 693 | 1283 | 54.01% | 2034 | 1404 | 1862 | 609 | 1057 | 540 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 16 | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 47 | 43 | 4 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 21 | 5 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 21 | 22 | -1 | 20 | 47 | 88 | 135 | 1 | 1 | 19 | 12 | 13 | 3 | 565 | 202 | 179 | 173 | 11 | 501 | 131 | 141 | 308 | 59 | 13 | 22.03% | 59 | 11 | 81.36% | 0 | 305 | 640 | 47.66% | 296 | 566 | 52.30% | 134 | 255 | 52.55% | 387 | 263 | 373 | 120 | 211 | 106 |
2023 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 8 | 23 | 42 | 65 | 0 | 0 | 9 | 8 | 6 | 0 | 172 | 55 | 59 | 58 | 0 | 191 | 41 | 49 | 129 | 21 | 5 | 23.81% | 22 | 6 | 72.73% | 0 | 116 | 210 | 55.24% | 125 | 218 | 57.34% | 67 | 112 | 59.82% | 141 | 96 | 140 | 45 | 77 | 40 |
Total Playoff | 22 | 14 | 8 | 0 | 0 | 0 | 0 | 0 | 70 | 63 | 7 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 37 | 32 | 5 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 31 | 2 | 28 | 70 | 130 | 200 | 1 | 1 | 28 | 20 | 19 | 3 | 737 | 257 | 238 | 231 | 11 | 692 | 172 | 190 | 437 | 80 | 18 | 22.50% | 81 | 17 | 79.01% | 0 | 421 | 850 | 49.53% | 421 | 784 | 53.70% | 201 | 367 | 54.77% | 529 | 360 | 514 | 166 | 289 | 146 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Erik Karlsson | 22 | 3 | 17 | 20 | 2 | 12 | 17 | 26 | 47 | 6.38% | 24 | 468 | 21.28 | 3 | 6 | 9 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0.85 | 0 | 0 |
2 | Timo Meier | 22 | 6 | 14 | 20 | 5 | 15 | 39 | 27 | 60 | 10.00% | 4 | 402 | 18.29 | 1 | 6 | 7 | 11 | 0 | 0 | 0 | 0 | 1 | 0 | 44.00% | 0 | 0.99 | 0 | 0 |
3 | Roman Josi | 22 | 5 | 13 | 18 | 0 | 22 | 27 | 31 | 66 | 7.58% | 23 | 507 | 23.06 | 3 | 2 | 5 | 49 | 0 | 0 | 0 | 1 | 1 | 1 | 0% | 0 | 0.71 | 0 | 0 |
4 | Tomas Hertl | 22 | 6 | 12 | 18 | 4 | 9 | 23 | 39 | 57 | 10.53% | 0 | 401 | 18.25 | 1 | 4 | 5 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 51.29% | 0 | 0.90 | 0 | 0 |
5 | Devon Toews | 22 | 3 | 15 | 18 | 4 | 8 | 26 | 33 | 41 | 7.32% | 29 | 466 | 21.19 | 1 | 2 | 3 | 17 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 0.77 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Hellebuyck | 22 | 14 | 8 | 0 | 0.910 | 2.80 | 1331 | 0 | 1 | 62 | 691 | 0 | 2 | 1 | 0 | 0 |