Florida Panthers | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Bryan Hassan | Morale : 99 | Team Overall : 70 |
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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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kirill Kaprizov | 0 | X | X | 100.00 | 64 | 56 | 83 | 87 | 71 | 91 | 87 | 90 | 59 | 87 | 92 | 64 | 90 | 69 | 74 | 66 | 78 | 77 | 0 | 26 | 4 | 9,000,000$ | |||
2 | Jeff Skinner | 0 | X | X | X | 100.00 | 54 | 39 | 85 | 85 | 71 | 88 | 90 | 77 | 74 | 78 | 83 | 62 | 78 | 84 | 77 | 63 | 74 | 72 | 2 | 31 | 4 | 9,000,000$ | ||
3 | Andrei Kuzmenko | 0 | X | X | 100.00 | 55 | 45 | 86 | 79 | 71 | 88 | 85 | 81 | 57 | 76 | 79 | 65 | 79 | 65 | 65 | 60 | 71 | 70 | 0 | 28 | 3 | 7,500,000$ | |||
4 | Gustav Nyquist | 0 | X | X | X | 100.00 | 55 | 39 | 91 | 77 | 67 | 88 | 85 | 71 | 67 | 72 | 69 | 81 | 72 | 83 | 77 | 37 | 55 | 70 | 2 | 34 | 4 | 4,500,000$ | ||
5 | Connor Bedard (R) | 0 | X | 100.00 | 67 | 45 | 71 | 83 | 70 | 90 | 90 | 80 | 69 | 70 | 76 | 68 | 64 | 57 | 57 | 97 | 72 | 70 | 2 | 18 | 3 | 925,000$ | ||||
6 | Yegor Sharangovich | 0 | X | X | X | 100.00 | 54 | 42 | 91 | 74 | 80 | 87 | 88 | 71 | 70 | 69 | 70 | 78 | 69 | 71 | 69 | 48 | 72 | 69 | 0 | 25 | 4 | 2,500,000$ | ||
7 | Pavel Dorofeyev (R) | 0 | X | X | 100.00 | 77 | 30 | 80 | 77 | 75 | 85 | 82 | 76 | 77 | 65 | 69 | 66 | 66 | 64 | 64 | 85 | 66 | 67 | 0 | 23 | 3 | 750,000$ | |||
8 | Alexander Barabanov | 0 | X | X | X | 100.00 | 59 | 50 | 92 | 71 | 68 | 87 | 88 | 74 | 59 | 71 | 62 | 63 | 72 | 79 | 67 | 59 | 65 | 66 | 0 | 29 | 2 | 1,000,000$ | ||
9 | Cody Glass | 0 | X | X | 100.00 | 63 | 39 | 93 | 73 | 87 | 84 | 88 | 71 | 79 | 67 | 60 | 61 | 71 | 70 | 70 | 79 | 63 | 66 | 2 | 25 | 1 | 875,000$ | |||
10 | Matt Martin | 0 | X | X | 100.00 | 90 | 85 | 74 | 63 | 78 | 88 | 90 | 60 | 54 | 58 | 57 | 72 | 59 | 87 | 80 | 41 | 47 | 65 | 0 | 34 | 1 | 1,800,000$ | |||
11 | Rudolfs Balcers | 0 | X | X | 100.00 | 71 | 41 | 77 | 67 | 69 | 82 | 81 | 67 | 59 | 65 | 67 | 69 | 66 | 70 | 68 | 51 | 70 | 65 | 0 | 27 | 3 | 1,800,000$ | |||
12 | Tyson Foerster (R) | 0 | X | X | 100.00 | 77 | 38 | 80 | 71 | 82 | 88 | 80 | 66 | 66 | 69 | 64 | 63 | 70 | 65 | 62 | 90 | 53 | 65 | 2 | 22 | 3 | 850,000$ | |||
13 | Roman Josi (A) | 39 | X | 100.00 | 67 | 44 | 80 | 83 | 77 | 95 | 88 | 81 | 30 | 90 | 80 | 73 | 63 | 85 | 94 | 53 | 76 | 76 | 2 | 33 | 1 | 7,500,000$ | ||||
14 | Christopher Tanev | 0 | X | 100.00 | 68 | 44 | 75 | 64 | 79 | 91 | 88 | 63 | 30 | 72 | 57 | 91 | 55 | 88 | 80 | 25 | 23 | 72 | 2 | 34 | 4 | 5,500,000$ | ||||
15 | Zach Whitecloud | 0 | X | 100.00 | 75 | 38 | 83 | 65 | 82 | 88 | 82 | 63 | 30 | 68 | 66 | 84 | 55 | 70 | 68 | 43 | 59 | 70 | 0 | 27 | 2 | 1,500,000$ | ||||
16 | Ilya Lyubushkin | 0 | X | 100.00 | 82 | 42 | 81 | 65 | 80 | 89 | 87 | 62 | 30 | 67 | 53 | 74 | 46 | 72 | 72 | 35 | 65 | 68 | 0 | 30 | 2 | 1,350,000$ | ||||
17 | Marcus Bjork (R) | 0 | X | 100.00 | 78 | 55 | 79 | 70 | 77 | 80 | 78 | 67 | 30 | 65 | 61 | 72 | 55 | 67 | 62 | 68 | 68 | 67 | 0 | 26 | 4 | 700,000$ | ||||
18 | Dylan McIlrath | 0 | X | 100.00 | 88 | 88 | 68 | 62 | 96 | 79 | 86 | 61 | 30 | 60 | 58 | 63 | 45 | 80 | 73 | 66 | 31 | 66 | 0 | 32 | 2 | 700,000$ | ||||
19 | Ronnie Attard | 0 | X | 100.00 | 77 | 58 | 69 | 66 | 86 | 84 | 82 | 60 | 30 | 62 | 63 | 72 | 60 | 63 | 43 | 72 | 62 | 65 | 2 | 25 | 1 | 800,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Aleksander Barkov | 20 | X | X | X | 100.00 | 61 | 42 | 92 | 82 | 87 | 91 | 88 | 90 | 86 | 86 | 82 | 88 | 90 | 79 | 90 | 77 | 66 | 79 | 2 | 28 | 3 | 10,000,000$ | ||
2 | Jake Sanderson | 0 | X | 100.00 | 56 | 55 | 89 | 73 | 84 | 92 | 74 | 68 | 30 | 68 | 56 | 84 | 51 | 62 | 58 | 91 | 55 | 69 | 2 | 21 | 2 | 925,000$ | ||||
Farm Team | ||||||||||||||||||||||||||||||
1 | William Carrier | 0 | X | X | 99.00 | 87 | 65 | 83 | 70 | 85 | 80 | 82 | 70 | 58 | 62 | 67 | 62 | 63 | 73 | 74 | 58 | 80 | 67 | 2 | 29 | 4 | 0$ | |||
2 | Jakob Pelletier (R) | 0 | X | 100.00 | 63 | 50 | 78 | 69 | 73 | 88 | 83 | 67 | 66 | 69 | 63 | 67 | 55 | 58 | 43 | 85 | 70 | 65 | 2 | 23 | 1 | 863,333$ | ||||
3 | Samuel Poulin (R) | 0 | X | X | 100.00 | 68 | 35 | 80 | 68 | 81 | 80 | 76 | 68 | 55 | 67 | 62 | 60 | 62 | 64 | 68 | 86 | 70 | 64 | 2 | 23 | 2 | 925,000$ | |||
4 | Matthew Rempe (R) | 0 | X | X | 100.00 | 98 | 85 | 76 | 62 | 99 | 77 | 78 | 63 | 60 | 61 | 61 | 65 | 56 | 57 | 57 | 53 | 64 | 64 | 0 | 21 | 3 | 833,000$ | |||
5 | Jean Luc Foudy (R) | 0 | X | 100.00 | 60 | 45 | 62 | 69 | 70 | 80 | 82 | 66 | 73 | 66 | 62 | 64 | 61 | 63 | 63 | 74 | 73 | 64 | 0 | 21 | 2 | 775,000$ | ||||
6 | Jake Leschyshyn | 9 | X | 99.00 | 65 | 42 | 89 | 64 | 72 | 76 | 84 | 66 | 78 | 66 | 62 | 65 | 64 | 67 | 69 | 62 | 68 | 64 | 2 | 25 | 3 | 775,000$ | ||||
7 | Sampo Ranta (R) | 0 | X | 100.00 | 65 | 45 | 81 | 64 | 81 | 83 | 82 | 60 | 57 | 60 | 63 | 65 | 61 | 49 | 59 | 73 | 64 | 62 | 2 | 23 | 2 | 700,000$ | ||||
8 | Alex Steeves (R) | 0 | X | 100.00 | 77 | 45 | 77 | 66 | 80 | 84 | 82 | 62 | 71 | 61 | 60 | 58 | 60 | 63 | 43 | 63 | 63 | 62 | 0 | 24 | 1 | 834,167$ | ||||
9 | Karson Kuhlman | 0 | X | 100.00 | 59 | 41 | 91 | 62 | 70 | 78 | 80 | 57 | 60 | 64 | 65 | 63 | 61 | 74 | 69 | 50 | 59 | 62 | 0 | 28 | 4 | 775,000$ | ||||
10 | Michael Sgarbossa | 0 | X | 100.00 | 62 | 41 | 93 | 55 | 79 | 80 | 81 | 53 | 74 | 63 | 59 | 54 | 61 | 80 | 73 | 49 | 44 | 60 | 0 | 31 | 4 | 750,000$ | ||||
11 | Tristen Robins (R) | 0 | X | 100.00 | 58 | 35 | 75 | 63 | 66 | 85 | 72 | 62 | 66 | 60 | 60 | 60 | 61 | 61 | 61 | 75 | 34 | 60 | 0 | 22 | 2 | 797,500$ | ||||
12 | Gustav Rydahl | 0 | X | X | X | 100.00 | 76 | 45 | 79 | 56 | 67 | 77 | 69 | 54 | 61 | 56 | 56 | 59 | 60 | 78 | 68 | 62 | 66 | 59 | 0 | 29 | 3 | 1,250,000$ | ||
13 | Isak Rosen (R) | 0 | X | 100.00 | 76 | 40 | 78 | 68 | 69 | 71 | 70 | 53 | 50 | 57 | 55 | 58 | 40 | 47 | 47 | 88 | 27 | 57 | 2 | 21 | 2 | 925,000$ | ||||
14 | Tobias Bjornfot | 0 | X | 100.00 | 64 | 42 | 94 | 67 | 77 | 84 | 83 | 64 | 30 | 66 | 59 | 66 | 46 | 65 | 67 | 78 | 53 | 66 | 2 | 23 | 1 | 875,000$ | ||||
15 | Gustav Olofsson | 0 | X | 100.00 | 76 | 41 | 90 | 60 | 81 | 76 | 74 | 60 | 30 | 57 | 57 | 67 | 45 | 77 | 72 | 64 | 57 | 65 | 0 | 29 | 4 | 775,000$ | ||||
16 | Jacob Moverare (R) | 0 | X | 100.00 | 76 | 60 | 59 | 58 | 71 | 76 | 82 | 62 | 30 | 60 | 58 | 63 | 60 | 66 | 66 | 74 | 68 | 63 | 0 | 25 | 3 | 775,000$ | ||||
17 | Olen Zellweger (R) | 0 | X | 100.00 | 70 | 45 | 65 | 62 | 66 | 74 | 72 | 60 | 30 | 60 | 68 | 74 | 55 | 45 | 50 | 90 | 33 | 62 | 2 | 20 | 3 | 925,000$ | ||||
18 | Jeremie Poirier (R) | 0 | X | 100.00 | 74 | 60 | 78 | 60 | 68 | 72 | 78 | 55 | 30 | 65 | 54 | 64 | 55 | 48 | 48 | 75 | 71 | 61 | 2 | 26 | 2 | 823,333$ | ||||
19 | Emil Andrae (R) | 0 | X | 100.00 | 65 | 45 | 68 | 61 | 78 | 75 | 74 | 60 | 30 | 59 | 59 | 70 | 54 | 47 | 7 | 86 | 44 | 60 | 2 | 22 | 3 | 925,000$ | ||||
20 | Benjamin Finkelstein (R) | 0 | X | 100.00 | 65 | 45 | 78 | 60 | 67 | 77 | 72 | 60 | 30 | 58 | 55 | 59 | 55 | 47 | 55 | 48 | 26 | 59 | 0 | 26 | 2 | 833,000$ | ||||
21 | Ed Wittchow | 0 | X | 100.00 | 72 | 55 | 73 | 63 | 73 | 72 | 76 | 51 | 30 | 52 | 53 | 55 | 45 | 53 | 52 | 42 | 22 | 58 | 0 | 31 | 2 | 700,000$ | ||||
22 | Cole fonstad (R) | 0 | X | X | 100.00 | 63 | 50 | 80 | 58 | 61 | 75 | 81 | 54 | 60 | 59 | 59 | 55 | 57 | 61 | 41 | 76 | 23 | 57 | 0 | 24 | 3 | 700,000$ | |||
23 | Keean Washkurak (R) | 0 | X | 100.00 | 77 | 55 | 65 | 60 | 66 | 77 | 75 | 55 | 60 | 55 | 56 | 59 | 55 | 60 | 40 | 60 | 24 | 57 | 0 | 22 | 1 | 862,500$ | ||||
24 | Noel Gunler | 0 | X | X | 100.00 | 66 | 40 | 61 | 55 | 67 | 77 | 75 | 54 | 50 | 54 | 56 | 56 | 44 | 61 | 41 | 76 | 24 | 56 | 2 | 27 | 2 | 862,500$ | |||
TEAM AVERAGE | 100.00 | 68 | 48 | 82 | 73 | 78 | 87 | 85 | 71 | 53 | 71 | 68 | 72 | 66 | 73 | 70 | 62 | 61 | 69 |
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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Samuel Montembeault | 0 | 100.00 | 86 | 95 | 91 | 88 | 85 | 82 | 86 | 85 | 83 | 86 | 85 | 69 | 78 | 54 | 63 | 82 | 2 | 27 | 2 | 1,500,000$ | |
2 | Pyotr Kochetkov (R) | 0 | 100.00 | 84 | 82 | 83 | 84 | 83 | 82 | 84 | 82 | 82 | 83 | 82 | 65 | 72 | 87 | 79 | 79 | 2 | 24 | 1 | 2,000,000$ | |
Scratches | ||||||||||||||||||||||||
Farm Team | ||||||||||||||||||||||||
1 | Samuel Ersson (R) | 0 | 100.00 | 71 | 80 | 84 | 82 | 82 | 81 | 78 | 82 | 81 | 80 | 74 | 66 | 41 | 75 | 78 | 75 | 0 | 24 | 2 | 859,167$ | |
2 | Justus Annunen (R) | 0 | 100.00 | 74 | 80 | 80 | 88 | 74 | 77 | 76 | 75 | 76 | 72 | 74 | 68 | 63 | 78 | 78 | 74 | 2 | 28 | 3 | 775,000$ | |
3 | Lukas Dostal (R) | 0 | 100.00 | 75 | 82 | 81 | 77 | 74 | 74 | 77 | 76 | 72 | 73 | 75 | 63 | 69 | 77 | 41 | 73 | 2 | 23 | 2 | 1,500,000$ | |
4 | Jesper Wallstedt (R) | 0 | 100.00 | 70 | 76 | 77 | 83 | 72 | 72 | 74 | 72 | 72 | 72 | 72 | 65 | 65 | 90 | 34 | 71 | 2 | 21 | 2 | 925,000$ | |
TEAM AVERAGE | 100.00 | 85 | 89 | 87 | 86 | 84 | 82 | 85 | 84 | 83 | 85 | 84 | 67 | 75 | 71 | 71 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 84 | 93 | 88 | 85 | 84 | 78 | 64 | CAN | 59 | 3 | 2,000,000$ |
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 |
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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 |
# | 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 |
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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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave 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 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Aleksander Barkov | Florida Panthers | C/LW/RW | 28 | 1995-09-02 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro Only | 10,000,000$ | 9,285,714$ | 10,000,000$ | 9,285,714$ | 10,000,000$ | 9,285,714$ | No | 10,000,000$ | 10,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
Alexander Barabanov | Florida Panthers | C/LW/RW | 29 | 1994-06-17 17:00:15 | No | 192 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | Pro & Farm | 1,000,000$ | 928,571$ | 1,000,000$ | 928,571$ | 1,000,000$ | 928,571$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Andrei Kuzmenko | Florida Panthers | LW/RW | 28 | 1996-02-04 05:17:17 | No | 194 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | Pro Only | 7,500,000$ | 6,964,286$ | 7,500,000$ | 6,964,286$ | 7,500,000$ | 6,964,286$ | No | 7,500,000$ | 7,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Christopher Tanev | Florida Panthers | D | 34 | 1989-12-20 | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | Pro Only | 5,500,000$ | 5,107,143$ | 5,500,000$ | 5,107,143$ | 5,500,000$ | 5,107,143$ | No | 5,500,000$ | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
Cody Glass | Florida Panthers | C/LW | 25 | 1999-04-01 | No | 192 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 875,000$ | 812,500$ | 875,000$ | 812,500$ | 875,000$ | 812,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Connor Bedard | Florida Panthers | C | 18 | 2005-07-17 03:45:22 | Yes | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 858,929$ | 925,000$ | 858,929$ | 925,000$ | 858,929$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Dylan McIlrath | Florida Panthers | D | 32 | 1992-04-20 | No | 232 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | Pro & Farm | 700,000$ | 650,000$ | 700,000$ | 650,000$ | 700,000$ | 650,000$ | No | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Gustav Nyquist | Florida Panthers | C/LW/RW | 34 | 1989-09-01 | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro Only | 4,500,000$ | 4,178,571$ | 4,500,000$ | 4,178,571$ | 4,500,000$ | 4,178,571$ | No | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
Ilya Lyubushkin | Florida Panthers | D | 30 | 1994-04-06 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 1,350,000$ | 1,253,571$ | 1,350,000$ | 1,253,571$ | 1,350,000$ | 1,253,571$ | No | 1,350,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Jake Sanderson | Florida Panthers | D | 21 | 2002-07-08 03:13:15 | No | 195 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 858,929$ | 925,000$ | 858,929$ | 925,000$ | 858,929$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jeff Skinner | Florida Panthers | C/LW/RW | 31 | 1992-05-16 | No | 197 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro Only | 9,000,000$ | 8,357,143$ | 9,000,000$ | 8,357,143$ | 9,000,000$ | 8,357,143$ | No | 9,000,000$ | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
Kirill Kaprizov | Florida Panthers | LW/RW | 26 | 1997-04-26 02:15:10 | No | 202 Lbs | 0 ft0 | No | No | N/A | No | No | 4 | Pro Only | 9,000,000$ | 8,357,143$ | 9,000,000$ | 8,357,143$ | 9,000,000$ | 8,357,143$ | No | 9,000,000$ | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Marcus Bjork | Florida Panthers | D | 26 | 1997-11-24 01:02:47 | Yes | 203 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro & Farm | 700,000$ | 650,000$ | 700,000$ | 650,000$ | 700,000$ | 650,000$ | No | 700,000$ | 700,000$ | 700,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Matt Martin | Florida Panthers | LW/RW | 34 | 1989-05-08 | No | 223 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro Only | 1,800,000$ | 1,671,429$ | 1,800,000$ | 1,671,429$ | 1,800,000$ | 1,671,429$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Pavel Dorofeyev | Florida Panthers | C/LW | 23 | 2000-10-26 09:49:15 | Yes | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 696,429$ | 750,000$ | 696,429$ | 750,000$ | 696,429$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Pyotr Kochetkov | Florida Panthers | G | 24 | 1999-06-25 08:34:40 | Yes | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro Only | 2,000,000$ | 1,857,143$ | 2,000,000$ | 1,857,143$ | 2,000,000$ | 1,857,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Roman Josi | Florida Panthers | D | 33 | 1990-06-01 | No | 201 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro Only | 7,500,000$ | 6,964,286$ | 7,500,000$ | 6,964,286$ | 7,500,000$ | 6,964,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Ronnie Attard | Florida Panthers | D | 25 | 1999-03-20 08:36:08 | No | 208 Lbs | 6 ft3 | No | No | Draft | No | No | 1 | Pro & Farm | 800,000$ | 742,857$ | 800,000$ | 742,857$ | 800,000$ | 742,857$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Rudolfs Balcers | Florida Panthers | LW/RW | 27 | 1997-04-08 | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | Pro & Farm | 1,800,000$ | 1,671,429$ | 1,800,000$ | 1,671,429$ | 1,800,000$ | 1,671,429$ | No | 1,800,000$ | 1,800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Samuel Montembeault | Florida Panthers | G | 27 | 1996-10-30 03:38:47 | No | 214 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 1,500,000$ | 1,392,857$ | 1,500,000$ | 1,392,857$ | 1,500,000$ | 1,392,857$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Tyson Foerster | Florida Panthers | C/RW | 22 | 2002-01-18 09:43:19 | Yes | 215 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 850,000$ | 789,286$ | 850,000$ | 789,286$ | 850,000$ | 789,286$ | No | 850,000$ | 850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Yegor Sharangovich | Florida Panthers | C/LW/RW | 25 | 1998-06-06 | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | Pro Only | 2,500,000$ | 2,321,429$ | 2,500,000$ | 2,321,429$ | 2,500,000$ | 2,321,429$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Zach Whitecloud | Florida Panthers | D | 27 | 1996-11-28 | No | 207 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 1,500,000$ | 1,392,857$ | 1,500,000$ | 1,392,857$ | 1,500,000$ | 1,392,857$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 27.35 | 201 Lbs | 5 ft10 | 2.57 | 3,172,826$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
72,975,000$ | 60,000,000$ | 53,025,000$ | 31,200,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Kirill Kaprizov | Rudolfs Balcers | Jeff Skinner | 32 | 0 | 2 | 3 |
2 | Andrei Kuzmenko | Connor Bedard | Gustav Nyquist | 32 | 0 | 2 | 3 |
3 | Pavel Dorofeyev | Cody Glass | Yegor Sharangovich | 26 | 1 | 3 | 1 |
4 | Matt Martin | Alexander Barabanov | Tyson Foerster | 10 | 2 | 2 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Roman Josi | Christopher Tanev | 40 | 1 | 2 | 2 | |
2 | Zach Whitecloud | Dylan McIlrath | 30 | 2 | 2 | 1 | |
3 | Ilya Lyubushkin | Marcus Bjork | 20 | 2 | 3 | 0 | |
4 | Roman Josi | Zach Whitecloud | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Kirill Kaprizov | Yegor Sharangovich | Jeff Skinner | 65 | 0 | 0 | 5 |
2 | Gustav Nyquist | Connor Bedard | Andrei Kuzmenko | 35 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Roman Josi | Zach Whitecloud | 70 | 1 | 1 | 3 | |
2 | Ilya Lyubushkin | Christopher Tanev | 30 | 1 | 1 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Connor Bedard | Kirill Kaprizov | 50 | 1 | 4 | 0 |
2 | Jeff Skinner | Andrei Kuzmenko | 50 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Christopher Tanev | Roman Josi | 50 | 1 | 4 | 0 |
2 | Zach Whitecloud | Ilya Lyubushkin | 50 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Kirill Kaprizov | 50 | 0 | 5 | 0 | Roman Josi | Zach Whitecloud | 50 | 0 | 5 | 0 |
2 | Jeff Skinner | 50 | 0 | 5 | 0 | Christopher Tanev | Ilya Lyubushkin | 50 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Gustav Nyquist | Kirill Kaprizov | 60 | 1 | 2 | 2 |
2 | Jeff Skinner | Andrei Kuzmenko | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Roman Josi | Christopher Tanev | 60 | 1 | 2 | 2 |
2 | Ilya Lyubushkin | Zach Whitecloud | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Kirill Kaprizov | Rudolfs Balcers | Jeff Skinner | Roman Josi | Zach Whitecloud |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Gustav Nyquist | Rudolfs Balcers | Yegor Sharangovich | Roman Josi | Christopher Tanev |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Kirill Kaprizov , Jeff Skinner, Andrei Kuzmenko | Connor Bedard, Gustav Nyquist | Jeff Skinner |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ilya Lyubushkin, Zach Whitecloud, Roman Josi | Ilya Lyubushkin | Ilya Lyubushkin, Roman Josi |
Penalty Shots |
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Andrei Kuzmenko, Kirill Kaprizov , Jeff Skinner, Yegor Sharangovich, Connor Bedard |
Goalie |
---|
#1 : Pyotr Kochetkov, #2 : Samuel Montembeault |
Custom OT Lines Forwards |
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Rudolfs Balcers, Kirill Kaprizov , Jeff Skinner, Andrei Kuzmenko, Gustav Nyquist, Connor Bedard, Connor Bedard, Yegor Sharangovich, Pavel Dorofeyev, Cody Glass, Tyson Foerster |
Custom OT Lines Defensemen |
---|
Roman Josi, Marcus Bjork, Zach Whitecloud, Christopher Tanev, Ilya Lyubushkin |
Priority | Type | Description |
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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. |
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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. |
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10 | text | Any text entered in the filter will match text found within the column |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 7000 | 5000 | 3000 | 5000 | 1000 |
Ticket Price | 115 | 65 | 48 | 35 | 220 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 21000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 72,975,000$ | 72,975,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 18,807,711$ | 23 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 13 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 187,125,722$ | 187,125,722$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 83,500,000$ | 83,500,000$ | -61,700,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Adam Mascherin | Florida Panthers | 2018 | 100 | |||
Aleksi Heimosalmi | Florida Panthers | 2021 | 40 | |||
Alex Ciernik | Florida Panthers | 2023 | 94 | |||
Alexander Nikishin | Florida Panthers | 2020 | 45 | |||
Beau Akey | Florida Panthers | 2023 | 50 | |||
Calle Odelius | Florida Panthers | 2022 | 49 | |||
Cameron Allen | Florida Panthers | 2023 | 92 | |||
Colby Ambrosio | Florida Panthers | 2020 | 117 | |||
Conner Roulette | Florida Panthers | 2021 | 76 | |||
Daniel Ljungman | Florida Panthers | 2020 | 154 | |||
Danila Galenyuk | Florida Panthers | 2017 | 200 | |||
David Edstrom | Florida Panthers | 2023 | 36 | |||
Dmitri Buchelnikov | Florida Panthers | 2022 | 32 | |||
Evan Vierling | Florida Panthers | 2020 | 116 | |||
Evgeniy Oksentyuk | Florida Panthers | 2020 | 162 | |||
Frank Nazar | Florida Panthers | 2022 | 12 | |||
Gracyn Sawchyn | Florida Panthers | 2023 | 53 | |||
Hannes Hellberg | Florida Panthers | 2023 | 196 | |||
Jake Karabela | Florida Panthers | 2022 | 128 | |||
Johan Sodergran | Florida Panthers | 2018 | 165 | |||
Joni Jurmo | Florida Panthers | 2020 | 69 | |||
Josh Nodler | Florida Panthers | 2019 | 149 | |||
Joshua Ess | Florida Panthers | 2017 | 221 | |||
Juraj Pekarcik | Florida Panthers | 2023 | 68 | |||
Kasper Kulonummi | Florida Panthers | 2022 | 96 | |||
Kirill Slepets | Florida Panthers | 2019 | 145 | |||
Leevi Aaltonen | Florida Panthers | 2019 | 118 | |||
Logan Morrison | Florida Panthers | 2022 | 192 | |||
Ludwig Persson | Florida Panthers | 2022 | 87 | |||
Marcus Westfalt | Florida Panthers | 2018 | 174 | |||
Maros Jedlicka | Florida Panthers | 2022 | 224 | |||
Oscar Fisker Moolgard | Florida Panthers | 2023 | 65 | |||
Oskar Magnusson | Florida Panthers | 2020 | 210 | |||
Otto Stenberg | Florida Panthers | 2023 | 17 | |||
Tanner Molendyk | Florida Panthers | 2023 | 27 | |||
Timur Mikhanov | Florida Panthers | 2023 | 164 | |||
Tomas Hamara | Florida Panthers | 2022 | 70 | |||
Ty Gallagher | Florida Panthers | 2021 | 219 | |||
Vinzenz Rohrer | Florida Panthers | 2022 | 80 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
9 | FLO | FLO OTT | FLO | FLO | FLO | FLO | |
10 | FLO OTT | FLO | FLO | FLO | FLO | FLO | FLO |
11 | FLO | FLO | FLO | FLO | FLO | FLO | FLO |
12 | FLO | FLO | FLO | FLO | FLO | FLO | FLO |
13 | FLO | FLO | FLO | FLO | FLO | FLO | FLO |
Conditional Draft Picks |
# | 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 |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 |
# | 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 |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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