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![]() | Florida Panthers 5-6-0, 10pts · 7th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW | 100.00 | 59 | 40 | 90 | 87 | 61 | 84 | 99 | 95 | 27 | 94 | 95 | 57 | 92 | 76 | 78 | 86 | 84 | 32 | 11,642,857$/3yrs | |||||
![]() | C | 100.00 | 89 | 55 | 94 | 88 | 65 | 72 | 93 | 77 | 97 | 72 | 64 | 83 | 25 | 77 | 81 | 75 | 81 | 31 | 5,000,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 78 | 43 | 85 | 80 | 64 | 77 | 96 | 96 | 33 | 76 | 94 | 63 | 58 | 67 | 71 | 84 | 79 | 33 | 5,000,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 73 | 43 | 93 | 80 | 71 | 74 | 98 | 88 | 39 | 73 | 89 | 60 | 39 | 78 | 83 | 81 | 77 | 32 | 4,250,000$/1yrs | |||||
![]() | RW | 100.00 | 80 | 54 | 87 | 79 | 71 | 79 | 92 | 83 | 38 | 69 | 80 | 73 | 53 | 60 | 60 | 78 | 76 | 25 | 1,450,000$/2yrs | |||||
![]() | RW | 100.00 | 63 | 51 | 92 | 80 | 68 | 76 | 97 | 83 | 40 | 77 | 73 | 67 | 65 | 85 | 89 | 75 | 76 | 34 | 5,500,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 78 | 72 | 91 | 77 | 72 | 79 | 83 | 66 | 80 | 62 | 62 | 72 | 59 | 64 | 64 | 68 | 74 | 34 | 700,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 71 | 42 | 96 | 83 | 65 | 69 | 64 | 78 | 28 | 70 | 81 | 69 | 75 | 59 | 59 | 76 | 72 | 23 | 800,000$/1yrs | |||||
![]() | C/LW | 100.00 | 87 | 56 | 89 | 74 | 78 | 61 | 89 | 63 | 54 | 60 | 64 | 70 | 25 | 77 | 77 | 68 | 71 | 30 | 2,500,000$/2yrs | |||||
![]() | C/RW | 100.00 | 80 | 44 | 88 | 76 | 65 | 67 | 59 | 66 | 64 | 68 | 66 | 76 | 25 | 58 | 58 | 70 | 70 | 31 | 975,000$/1yrs | |||||
![]() | C/LW | 100.00 | 71 | 43 | 95 | 67 | 73 | 54 | 87 | 65 | 68 | 60 | 57 | 80 | 25 | 55 | 56 | 65 | 70 | 28 | 775,000$/1yrs | |||||
![]() | RW | 100.00 | 78 | 54 | 84 | 82 | 69 | 70 | 77 | 72 | 32 | 73 | 68 | 70 | 37 | 77 | 85 | 72 | 70 | 33 | 6,000,000$/5yrs | |||||
![]() | D | 100.00 | 82 | 45 | 78 | 82 | 73 | 91 | 90 | 77 | 25 | 72 | 53 | 89 | 61 | 86 | 94 | 72 | 80 | 37 | 6,100,000$/5yrs | |||||
![]() | D | 100.00 | 79 | 56 | 72 | 81 | 89 | 76 | 95 | 66 | 25 | 64 | 48 | 89 | 53 | 83 | 83 | 67 | 76 | 34 | 6,000,000$/1yrs | |||||
![]() | D | 100.00 | 78 | 44 | 89 | 77 | 75 | 76 | 88 | 69 | 25 | 50 | 58 | 74 | 25 | 56 | 56 | 66 | 73 | 22 | 925,000$/1yrs | |||||
![]() | D | 100.00 | 75 | 44 | 85 | 74 | 81 | 65 | 99 | 64 | 25 | 52 | 48 | 80 | 61 | 90 | 91 | 64 | 72 | 37 | 775,000$/1yrs | |||||
![]() | D | 100.00 | 71 | 53 | 86 | 81 | 72 | 72 | 90 | 70 | 25 | 65 | 49 | 66 | 75 | 71 | 73 | 64 | 71 | 32 | 825,000$/1yrs | |||||
![]() | D | 100.00 | 75 | 55 | 80 | 67 | 72 | 64 | 75 | 62 | 25 | 49 | 48 | 75 | 79 | 59 | 59 | 60 | 67 | 30 | 775,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 79 | 43 | 92 | 79 | 62 | 55 | 85 | 62 | 33 | 60 | 57 | 79 | 25 | 63 | 65 | 66 | 69 | 28 | 775,000$/1yrs | |||||
![]() | LW | 100.00 | 85 | 99 | 54 | 68 | 92 | 51 | 61 | 63 | 44 | 54 | 55 | 63 | 25 | 61 | 61 | 60 | 63 | 30 | 1,100,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 87 | 99 | 47 | 73 | 80 | 50 | 59 | 62 | 34 | 56 | 59 | 58 | 75 | 66 | 67 | 61 | 61 | 28 | 800,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 77 | 54 | 84 | 78 | 72 | 70 | 85 | 73 | 41 | 66 | 65 | 72 | 50 | 70 | 72 | 70 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 62 | 68 | 68 | 76 | 65 | 58 | 69 | 64 | 65 | 62 | 91 | 69 | 72 | 65 | 64 | 34 | 3,850,000$/2yrs | |
![]() | 0 | 100.00 | 44 | 42 | 53 | 85 | 45 | 89 | 45 | 49 | 90 | 81 | 45 | 44 | 44 | 61 | 58 | 27 | 925,000$/1yrs | |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 43 | 54 | 84 | 64 | 64 | 64 | 67 | 69 | 68 | 30 | 52 | 53 | 62 | 58 | 30 | 3,500,000$/1yrs | |
TEAM AVERAGE | 100.00 | 55 | 51 | 58 | 82 | 58 | 70 | 59 | 60 | 75 | 70 | 55 | 55 | 56 | 63 | 60 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | William Lapierre |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Artemi Panarin | ![]() | 0 | LW | 11 | 10 | 8 | 18 | 6 | 7 | 5 | 6 | 50 | 13 | 28 | 20.00% | 3 | 22.30 | 2 | 1 | 3 | 1 | 0 | 1 | 9 | 2 | 0 | 19.05% | 21 | 14 | 4 | 0 | 1 | 1.47 | 0 | 0 |
2 | Jean-Gabriel Pageau | ![]() | 0 | C | 11 | 2 | 11 | 13 | 6 | 5 | 5 | 20 | 30 | 6 | 15 | 6.67% | 10 | 22.94 | 0 | 3 | 3 | 0 | 0 | 0 | 18 | 0 | 0 | 55.38% | 381 | 1 | 4 | 0 | 0 | 1.03 | 0 | 0 |
3 | Jonathan Marchessault | ![]() | 0 | LW/RW | 11 | 6 | 7 | 13 | 4 | 6 | 0 | 21 | 56 | 17 | 43 | 10.71% | 6 | 22.92 | 1 | 1 | 2 | 0 | 0 | 0 | 16 | 1 | 0 | 28.57% | 28 | 10 | 7 | 0 | 0 | 1.03 | 0 | 0 |
4 | Fabian Zetterlund | ![]() | 0 | RW | 11 | 4 | 5 | 9 | 1 | 2 | 0 | 15 | 28 | 12 | 13 | 14.29% | 5 | 13.25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 8 | 8 | 1 | 0 | 0 | 1.23 | 0 | 0 |
5 | Jordan Eberle | ![]() | 0 | RW | 11 | 1 | 8 | 9 | -5 | 0 | 0 | 15 | 34 | 11 | 22 | 2.94% | 2 | 17.16 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 22.22% | 9 | 8 | 5 | 0 | 0 | 0.95 | 0 | 0 |
6 | Justin Danforth | ![]() | 0 | C/RW | 11 | 4 | 2 | 6 | 0 | 0 | 0 | 15 | 19 | 3 | 4 | 21.05% | 4 | 13.06 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 51.32% | 76 | 1 | 1 | 0 | 0 | 0.84 | 0 | 0 |
7 | Erik Gustafsson | ![]() | 0 | D | 11 | 0 | 6 | 6 | 1 | 8 | 0 | 8 | 11 | 5 | 5 | 0.00% | 9 | 19.74 | 0 | 0 | 0 | 0 | 1 | 1 | 15 | 0 | 0 | 0.00% | 0 | 3 | 10 | 0 | 0 | 0.55 | 0 | 0 |
8 | Yegor Chinakhov | ![]() | 0 | LW/RW | 11 | 2 | 3 | 5 | 0 | 0 | 0 | 13 | 21 | 7 | 28 | 9.52% | 2 | 13.90 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 20.00% | 5 | 8 | 2 | 0 | 0 | 0.65 | 0 | 0 |
9 | Tyler Toffoli | ![]() | 0 | LW/RW | 11 | 4 | 1 | 5 | -4 | 0 | 0 | 19 | 43 | 12 | 20 | 9.30% | 5 | 18.40 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 14.29% | 7 | 9 | 2 | 0 | 0 | 0.49 | 0 | 0 |
10 | Justin Barron | ![]() | 0 | D | 11 | 1 | 3 | 4 | 0 | 6 | 0 | 11 | 11 | 4 | 4 | 9.09% | 18 | 19.40 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 100.00% | 1 | 3 | 5 | 0 | 0 | 0.37 | 0 | 0 |
11 | Zemgus Girgensons | ![]() | 0 | C/LW | 11 | 1 | 3 | 4 | -4 | 0 | 0 | 16 | 10 | 1 | 5 | 10.00% | 4 | 15.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.23% | 137 | 1 | 2 | 0 | 0 | 0.47 | 0 | 0 |
12 | Kris Letang | ![]() | 0 | D | 11 | 1 | 2 | 3 | 5 | 2 | 0 | 22 | 12 | 7 | 14 | 8.33% | 27 | 28.75 | 0 | 1 | 1 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 4 | 13 | 0 | 0 | 0.19 | 0 | 0 |
13 | Tyler Myers | ![]() | 0 | D | 11 | 0 | 2 | 2 | 4 | 8 | 0 | 18 | 6 | 6 | 3 | 0.00% | 18 | 22.18 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 2 | 17 | 0 | 0 | 0.16 | 0 | 0 |
14 | Jack Johnson | ![]() | 0 | D | 11 | 0 | 1 | 1 | -7 | 2 | 0 | 8 | 10 | 6 | 1 | 0.00% | 22 | 17.81 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 3 | 12 | 0 | 0 | 0.10 | 0 | 0 |
15 | Ondrej Palat | ![]() | 0 | RW | 11 | 0 | 1 | 1 | -4 | 0 | 0 | 10 | 18 | 5 | 8 | 0.00% | 3 | 8.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 4 | 0 | 0 | 0 | 0.22 | 0 | 0 |
16 | Dakota Mermis | ![]() | 0 | D | 11 | 0 | 0 | 0 | -9 | 4 | 0 | 14 | 8 | 4 | 3 | 0.00% | 7 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 6 | 0 | 0 | 0.00 | 0 | 0 |
17 | Fredrik Olofsson | ![]() | 0 | C/LW | 11 | 0 | 0 | 0 | -5 | 0 | 0 | 5 | 2 | 2 | 1 | 0.00% | 1 | 8.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1 | 3 | 0 | 0 | 0.00 | 0 | 0 |
18 | Jayson Megna | ![]() | 0 | C/LW/RW | 11 | 0 | 0 | 0 | -5 | 2 | 0 | 10 | 12 | 7 | 5 | 0.00% | 1 | 8.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39.29% | 28 | 4 | 1 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 36 | 63 | 99 | -16 | 52 | 10 | 246 | 381 | 128 | 222 | 9.45% | 147 | 17.04 | 4 | 7 | 11 | 175 | 1 | 1 | 2 | 121 | 5 | 1 | 46.95% | 705 | 85 | 95 | 0 | 1 | 0.59 | 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 |
# | 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 | Ivan Fedotov | ![]() | 7 | 4 | 2 | 1 | 0.884 | 3.93 | 412 | 0 | 0 | 27 | 232 | 108 | 0 | 0 | 0.000 | 0 | 7 | 4 | 1 | 0 | 0 |
2 | Jake Allen | ![]() | 5 | 1 | 3 | 0 | 0.904 | 3.58 | 268 | 0 | 0 | 16 | 167 | 97 | 0 | 0 | 0.000 | 0 | 4 | 7 | 0 | 0 | 0 |
Team Total or Average | 12 | 5 | 5 | 1 | 0.892 | 3.79 | 681 | 0 | 0 | 43 | 399 | 205 | 0 | 0 | 0.000 | 0 | 11 | 11 | 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 |
# | 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 | ![]() | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 22 | 0 | 8 | 0.667 | 22 | 37 | 59 | 0 | 0 | 5 | 10 | 6 | 1 | 208 | 67 | 82 | 55 | 4 | 206 | 69 | 36 | 118 | 14 | 3 | 21.43% | 13 | 4 | 69.23% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 124 | 71 | 132 | 56 | 108 | 53 | 51.4% | 10.6% | 89.3% | 99.9 | FUN |
2 | ![]() | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 21 | -7 | 2 | 0.200 | 14 | 26 | 40 | 0 | 0 | 1 | 8 | 5 | 0 | 173 | 43 | 71 | 56 | 3 | 193 | 78 | 16 | 128 | 7 | 1 | 14.29% | 8 | 4 | 50.00% | 0 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 104 | 58 | 116 | 46 | 93 | 46 | 43.3% | 8.1% | 89.1% | 97.2 | Unlucky |
_Vs Conference | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 36 | 43 | -7 | 10 | 0.455 | 36 | 63 | 99 | 0 | 0 | 6 | 18 | 11 | 1 | 381 | 110 | 153 | 111 | 7 | 399 | 147 | 52 | 246 | 21 | 4 | 19.05% | 21 | 8 | 61.90% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 228 | 129 | 249 | 102 | 202 | 99 | 47.8% | 9.4% | 89.2% | 98.7 | FUN | |
_Since Last GM Reset | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 36 | 43 | -7 | 10 | 0.455 | 36 | 63 | 99 | 0 | 0 | 6 | 18 | 11 | 1 | 381 | 110 | 153 | 111 | 7 | 399 | 147 | 52 | 246 | 21 | 4 | 19.05% | 21 | 8 | 61.90% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 228 | 129 | 249 | 102 | 202 | 99 | 47.8% | 9.4% | 89.2% | 98.7 | FUN | |
Total | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 36 | 43 | -7 | 10 | 0.455 | 36 | 63 | 99 | 0 | 0 | 6 | 18 | 11 | 1 | 381 | 110 | 153 | 111 | 7 | 399 | 147 | 52 | 246 | 21 | 4 | 19.05% | 21 | 8 | 61.90% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 228 | 129 | 249 | 102 | 202 | 99 | 47.8% | 9.4% | 89.2% | 98.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 263 |
Neutral Zone Start | 180 |
Defensive Zone Start | 262 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 331 |
Faceoffs Lost | 374 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 23.9 | 20.31 |
3rd Period | 34.0 | 30.68 |
Overtime | 34.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 31 |
---|---|
PP Goal | 4 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 3 |
Lost | 3 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 21 |
---|---|
PP Goal | 4 |
PK Attempt | 21 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 34.6 |
Shots Against | 36.3 |
Goals For | 3.3 |
Goals Against | 3.9 |
Hits | 22.4 |
Shots Blocked | 13.4 |
Pim | 4.7 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artemi Panarin ![]() | LW | 32 | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | |||||
Brendan Lemieux ![]() | LW/RW | 28 | 800,000$ | 800,000$ | |||||||
Chris Driedger ![]() | G | 30 | 3,500,000$ | 3,500,000$ | |||||||
Dakota Mermis ![]() | D | 30 | 775,000$ | 775,000$ | |||||||
Erik Gustafsson ![]() | D | 32 | 825,000$ | 825,000$ | |||||||
Fabian Zetterlund ![]() | RW | 25 | 1,450,000$ | 1,450,000$ | 1,450,000$ | ||||||
Fredrik Olofsson ![]() | C/LW | 28 | 775,000$ | 775,000$ | |||||||
Ivan Fedotov ![]() | G | 27 | 925,000$ | 925,000$ | |||||||
Jack Johnson ![]() | D | 37 | 775,000$ | 775,000$ | |||||||
Jake Allen ![]() | G | 34 | 3,850,000$ | 3,850,000$ | 3,850,000$ | ||||||
Jayson Megna ![]() | C/LW/RW | 34 | 700,000$ | 700,000$ | |||||||
Jean-Gabriel Pageau ![]() | C | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Joel Kiviranta ![]() | LW/RW | 28 | 775,000$ | 775,000$ | |||||||
Jonathan Marchessault ![]() | LW/RW | 33 | 5,000,000$ | 5,000,000$ | |||||||
Jordan Eberle ![]() | RW | 34 | 5,500,000$ | 5,500,000$ | |||||||
Justin Barron ![]() | D | 22 | 925,000$ | 925,000$ | |||||||
Justin Danforth ![]() | C/RW | 31 | 975,000$ | 975,000$ | |||||||
Kris Letang ![]() | D | 37 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | |||
Ondrej Palat ![]() | RW | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||
Ross Johnston ![]() | LW | 30 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Tyler Myers ![]() | D | 34 | 6,000,000$ | 6,000,000$ | |||||||
Tyler Toffoli ![]() | LW/RW | 32 | 4,250,000$ | 4,250,000$ | |||||||
Yegor Chinakhov ![]() | LW/RW | 23 | 800,000$ | 800,000$ | |||||||
Zemgus Girgensons ![]() | C/LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman ![]() | LW | 23 | 925,000$ | 925,000$ | |||||||
Adam Cracknell ![]() | C/RW | 39 | 700,000$ | 700,000$ | |||||||
Arnaud Durandeau ![]() | LW | 25 | 762,500$ | 762,500$ | |||||||
Brennan Othmann ![]() | LW | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | |||||
Casey Fitzgerald ![]() | D | 27 | 700,000$ | 700,000$ | |||||||
Daniil Chayka ![]() | D | 21 | 700,000$ | 700,000$ | |||||||
Dustin Wolf ![]() | G | 23 | 825,000$ | 825,000$ | |||||||
Fredrik Karlstrom ![]() | C | 26 | 775,000$ | 775,000$ | |||||||
Garret Sparks ![]() | G | 31 | 700,000$ | 700,000$ | |||||||
Hunter McDonald ![]() | D | 22 | 700,000$ | 700,000$ | |||||||
Jack Thompson ![]() | D | 22 | 828,333$ | 828,333$ | 828,333$ | ||||||
Kyle Clifford ![]() | LW | 33 | 762,500$ | 762,500$ | |||||||
Leon Gawanke ![]() | D | 25 | 700,000$ | 700,000$ | |||||||
Lucas Carlsson ![]() | D | 27 | 700,000$ | 700,000$ | |||||||
Matthew Peca ![]() | C/LW | 31 | 700,000$ | 700,000$ | |||||||
Oscar Dansk ![]() | G | 30 | 750,000$ | 750,000$ | |||||||
Robert Bortuzzo ![]() | D | 35 | 950,000$ | 950,000$ | |||||||
Tanner Kaspick ![]() | C | 26 | 700,000$ | 700,000$ | |||||||
Tanner Laczynski ![]() | C/RW | 27 | 762,500$ | 762,500$ | |||||||
Tim Berni ![]() | D | 24 | 925,000$ | 925,000$ | |||||||
Victor Mete ![]() | D | 26 | 775,000$ | 775,000$ | |||||||
Will Butcher ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Zach Sawchenko ![]() | G | 26 | 750,000$ | 750,000$ |
Forward Lines | |||||||
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Goalies | |||||||
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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 |
# | 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 | ![]() | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 22 | 0 | 8 | 0.667 | 22 | 37 | 59 | 0 | 0 | 5 | 10 | 6 | 1 | 208 | 67 | 82 | 55 | 4 | 206 | 69 | 36 | 118 | 14 | 3 | 21.43% | 13 | 4 | 69.23% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 124 | 71 | 132 | 56 | 108 | 53 | 51.4% | 10.6% | 89.3% | 99.9 | FUN |
2 | ![]() | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 21 | -7 | 2 | 0.200 | 14 | 26 | 40 | 0 | 0 | 1 | 8 | 5 | 0 | 173 | 43 | 71 | 56 | 3 | 193 | 78 | 16 | 128 | 7 | 1 | 14.29% | 8 | 4 | 50.00% | 0 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 104 | 58 | 116 | 46 | 93 | 46 | 43.3% | 8.1% | 89.1% | 97.2 | Unlucky |
_Vs Conference | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 36 | 43 | -7 | 10 | 0.455 | 36 | 63 | 99 | 0 | 0 | 6 | 18 | 11 | 1 | 381 | 110 | 153 | 111 | 7 | 399 | 147 | 52 | 246 | 21 | 4 | 19.05% | 21 | 8 | 61.90% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 228 | 129 | 249 | 102 | 202 | 99 | 47.8% | 9.4% | 89.2% | 98.7 | FUN | |
_Since Last GM Reset | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 36 | 43 | -7 | 10 | 0.455 | 36 | 63 | 99 | 0 | 0 | 6 | 18 | 11 | 1 | 381 | 110 | 153 | 111 | 7 | 399 | 147 | 52 | 246 | 21 | 4 | 19.05% | 21 | 8 | 61.90% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 228 | 129 | 249 | 102 | 202 | 99 | 47.8% | 9.4% | 89.2% | 98.7 | FUN | |
Total | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 36 | 43 | -7 | 10 | 0.455 | 36 | 63 | 99 | 0 | 0 | 6 | 18 | 11 | 1 | 381 | 110 | 153 | 111 | 7 | 399 | 147 | 52 | 246 | 21 | 4 | 19.05% | 21 | 8 | 61.90% | 1 | 119 | 263 | 45.25% | 124 | 262 | 47.33% | 88 | 180 | 48.89% | 228 | 129 | 249 | 102 | 202 | 99 | 47.8% | 9.4% | 89.2% | 98.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 263 |
Neutral Zone Start | 180 |
Defensive Zone Start | 262 |
Puck Time | |
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With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 331 |
Faceoffs Lost | 374 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 23.9 | 20.31 |
3rd Period | 34.0 | 30.68 |
Overtime | 34.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 31 |
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PP Goal | 4 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 2 | 3 |
Lost | 3 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 21 |
---|---|
PP Goal | 4 |
PK Attempt | 21 |
PK Goal Against | 8 |
Home | |
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Shots For | 34.6 |
Shots Against | 36.3 |
Goals For | 3.3 |
Goals Against | 3.9 |
Hits | 22.4 |
Shots Blocked | 13.4 |
Pim | 4.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Tue, Oct 1 | ![]() | @ | ![]() | FLA1,WSH3 | RECAP |
Thu, Oct 3 | ![]() | @ | ![]() | FLA4,WSH3 (OT) | RECAP |
Sat, Oct 5 | ![]() | @ | ![]() | WSH1,FLA5 | RECAP |
Mon, Oct 7 | ![]() | @ | ![]() | WSH8,FLA3 | RECAP |
Wed, Oct 9 | ![]() | @ | ![]() | FLA5,WSH4 | RECAP |
Fri, Oct 11 | ![]() | @ | ![]() | WSH3,FLA4 | RECAP |
Tue, Oct 15 | ![]() | @ | ![]() | FLA2,CBJ6 | RECAP |
Thu, Oct 17 | ![]() | @ | ![]() | FLA4,CBJ2 | RECAP |
Sat, Oct 19 | ![]() | @ | ![]() | CBJ4,FLA1 | RECAP |
Mon, Oct 21 | ![]() | @ | ![]() | CBJ4,FLA3 | RECAP |
Wed, Oct 23 | ![]() | @ | ![]() | FLA4,CBJ5 (OT) | RECAP |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,942,857$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | BBT Center | |
City | Florida | ||
Capacity | 19250 | ||
Season Ticket Holders | 70% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6250 | 5000 | 3000 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 31250 | 25000 | 13492 | 18134 | 5000 |
Attendance PCT | 100.00% | 100.00% | 89.95% | 90.67% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
36 | 18575 - 96.49% | 951,135$ | 4,755,675$ | 19250 | 80 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,942,857$ | 70,942,857$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 964,822,005$ | 964,822,005$ |
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 |
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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 |
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1e Ballo FLO 25 | ![]() | ||||
Adam Kleber | ![]() | 2024 | 56 | ||
Alex Cotton | ![]() | 2020 | 122 | ||
Andreas Borgman | ![]() | ||||
Andrei Loshko | ![]() | 2023 | 83 | ||
Axel Sandin Pellikka | ![]() | 2023 | 17 | ||
Brandon Pirri | ![]() | 0 | Link | ||
Brennan Othmann | ![]() | 2021 | 17 | ||
C.J. Smith | ![]() | Link | |||
Cameron Hillis | ![]() | Link | |||
Carter Sotheran | ![]() | 2023 | 145 | ||
Charlie Stramel | ![]() | 2023 | 31 | ||
Chase Pietila | ![]() | 2024 | 137 | ||
Chris Driedger | ![]() | Link | |||
Christian Djoos | ![]() | Link | |||
Daniel Ljungman | ![]() | 2020 | 113 | ||
Daniil Chayka | ![]() | 2021 | 37 | ||
Dylan Blujus | ![]() | ||||
Emmitt Finnie | ![]() | 2023 | 209 | ||
Garret Sparks | ![]() | 0 | Link | ||
Goerge Fegaras | ![]() | 2022 | 98 | ||
Hunter McDonald | ![]() | 2022 | 169 | ||
Hunter Miska | ![]() | ||||
Ilya Fedotov | ![]() | 2021 | 44 | ||
Jack Thompson | ![]() | 2020 | 143 | ||
Jacob MacDonald | ![]() | ||||
Jake Chiasson | ![]() | 2021 | 101 | ||
Jason Spezza | ![]() | Link | |||
Javon Moore | ![]() | 2024 | 143 | ||
Jay Bouwmester | ![]() | ||||
Jimmy Howard | ![]() | ||||
Jonathan Lekkerimaki | ![]() | 2022 | 18 | ||
Julien Nantel | ![]() | ||||
Kirill Kudryavtsev | ![]() | 2022 | 210 | ||
Leon Gawanke | ![]() | ||||
Leon Muggli | ![]() | 2024 | 73 | ||
Manuel Wiederer | ![]() | ||||
Matthew Peca | ![]() | 0 | Link | ||
Milton Oscarson | ![]() | 2023 | 177 | ||
Mitch Eliot | ![]() | ||||
Nikita Quapp | ![]() | 2021 | 196 | ||
Noah Beck | ![]() | ||||
Oscar Dansk | ![]() | 0 | Link | ||
Philip Svedeback | ![]() | 2021 | 121 | ||
Prokhor Poltapov | ![]() | 2021 | 36 | ||
Roman Polak | ![]() | ||||
Ryan Miller | ![]() | 0 | Link | ||
Ryan Wagner | ![]() | ||||
Sam Rinzel | ![]() | 2022 | 28 | ||
Samu Salminen | ![]() | 2021 | 73 | ||
Stepan Gorbunov | ![]() | 2024 | 184 | ||
Stian Solberg | ![]() | 2024 | 24 | ||
Tanner Kaspick | ![]() | ||||
Terrell Goldsmith | ![]() | 2023 | 113 | ||
Tij Iginla | ![]() | 2024 | 9 | ||
Timofey Spitserov | ![]() | ||||
Victor Rask | ![]() | Link | |||
Viktor Hurtig | ![]() | 2021 | 165 | ||
Vili Saarijarvi | ![]() | ||||
Vitaly Abramov | ![]() | 0 | Link | ||
Will Butcher | ![]() | 0 | Link | ||
William Whitelaw | ![]() | 2023 | 80 | ||
Yannick Veilleux | ![]() | ||||
Zachary Sawchenko | ![]() |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 | Lien |
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1e Ballo FLO 25 | ![]() | ||||
Adam Kleber | ![]() | 2024 | 56 | ||
Alex Cotton | ![]() | 2020 | 122 | ||
Andreas Borgman | ![]() | ||||
Andrei Loshko | ![]() | 2023 | 83 | ||
Axel Sandin Pellikka | ![]() | 2023 | 17 | ||
Brandon Pirri | ![]() | 0 | Link | ||
Brennan Othmann | ![]() | 2021 | 17 | ||
C.J. Smith | ![]() | Link | |||
Cameron Hillis | ![]() | Link | |||
Carter Sotheran | ![]() | 2023 | 145 | ||
Charlie Stramel | ![]() | 2023 | 31 | ||
Chase Pietila | ![]() | 2024 | 137 | ||
Chris Driedger | ![]() | Link | |||
Christian Djoos | ![]() | Link | |||
Daniel Ljungman | ![]() | 2020 | 113 | ||
Daniil Chayka | ![]() | 2021 | 37 | ||
Dylan Blujus | ![]() | ||||
Emmitt Finnie | ![]() | 2023 | 209 | ||
Garret Sparks | ![]() | 0 | Link | ||
Goerge Fegaras | ![]() | 2022 | 98 | ||
Hunter McDonald | ![]() | 2022 | 169 | ||
Hunter Miska | ![]() | ||||
Ilya Fedotov | ![]() | 2021 | 44 | ||
Jack Thompson | ![]() | 2020 | 143 | ||
Jacob MacDonald | ![]() | ||||
Jake Chiasson | ![]() | 2021 | 101 | ||
Jason Spezza | ![]() | Link | |||
Javon Moore | ![]() | 2024 | 143 | ||
Jay Bouwmester | ![]() | ||||
Jimmy Howard | ![]() | ||||
Jonathan Lekkerimaki | ![]() | 2022 | 18 | ||
Julien Nantel | ![]() | ||||
Kirill Kudryavtsev | ![]() | 2022 | 210 | ||
Leon Gawanke | ![]() | ||||
Leon Muggli | ![]() | 2024 | 73 | ||
Manuel Wiederer | ![]() | ||||
Matthew Peca | ![]() | 0 | Link | ||
Milton Oscarson | ![]() | 2023 | 177 | ||
Mitch Eliot | ![]() | ||||
Nikita Quapp | ![]() | 2021 | 196 | ||
Noah Beck | ![]() | ||||
Oscar Dansk | ![]() | 0 | Link | ||
Philip Svedeback | ![]() | 2021 | 121 | ||
Prokhor Poltapov | ![]() | 2021 | 36 | ||
Roman Polak | ![]() | ||||
Ryan Miller | ![]() | 0 | Link | ||
Ryan Wagner | ![]() | ||||
Sam Rinzel | ![]() | 2022 | 28 | ||
Samu Salminen | ![]() | 2021 | 73 | ||
Stepan Gorbunov | ![]() | 2024 | 184 | ||
Stian Solberg | ![]() | 2024 | 24 | ||
Tanner Kaspick | ![]() | ||||
Terrell Goldsmith | ![]() | 2023 | 113 | ||
Tij Iginla | ![]() | 2024 | 9 | ||
Timofey Spitserov | ![]() | ||||
Victor Rask | ![]() | Link | |||
Viktor Hurtig | ![]() | 2021 | 165 | ||
Vili Saarijarvi | ![]() | ||||
Vitaly Abramov | ![]() | 0 | Link | ||
Will Butcher | ![]() | 0 | Link | ||
William Whitelaw | ![]() | 2023 | 80 | ||
Yannick Veilleux | ![]() | ||||
Zachary Sawchenko | ![]() |
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