Day : 17 |
NYR - 1 |
OTT - 2 |
QUE - 4 |
CLB - 3 |
LAV - 3 |
BBA - 4 |
BNG - 1 |
TRL - 4 |
Day : 18 |
(4-2-0) - L1 |
(5-3-0) - W2 |
(4-1-0) - OTL1 |
(5-2-0) - W4 |
(4-2-0) - L1 |
(4-3-0) - W2 |
(4-4-0) - L1 |
(4-1-0) - W2 |
GP: 4 | W: 0 | L: 4 GF: 9 | GA: 13 | PP%: 9.09% | PK%: 86.67% GM : Mikaël Brassard |
|
|
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 | Brendan Perlini | X | X | 100.00 | 87 | 35 | 86 | 84 | 88 | 86 | 83 | 85 | 67 | 76 | 77 | 76 | 74 | 88 | 88 | 7 | 50 | 0 | 0 | 27 | 4 | 4,000,000$ | |||
2 | Josh Bailey | X | X | X | 100.00 | 73 | 38 | 92 | 79 | 79 | 82 | 83 | 77 | 86 | 74 | 73 | 73 | 77 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 1 | 2,000,000$ | ||
3 | Anton Lundell (R) | X | 100.00 | 80 | 25 | 78 | 81 | 81 | 83 | 81 | 84 | 76 | 78 | 76 | 74 | 80 | 73 | 75 | 8 | 50 | 0 | 0 | 22 | 3 | 950,000$ | ||||
4 | Steven Stamkos | X | X | X | 100.00 | 72 | 40 | 85 | 86 | 80 | 91 | 86 | 91 | 82 | 83 | 91 | 70 | 96 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 2 | 9,500,000$ | ||
5 | Brandon Tanev | X | X | 100.00 | 94 | 40 | 82 | 84 | 80 | 81 | 73 | 78 | 66 | 74 | 74 | 75 | 74 | 96 | 98 | 1 | 50 | 0 | 0 | 32 | 2 | 2,500,000$ | |||
6 | Jonathan Huberdeau (A) | X | X | 100.00 | 76 | 30 | 85 | 88 | 78 | 91 | 87 | 91 | 75 | 82 | 82 | 69 | 90 | 95 | 97 | 1 | 50 | 0 | 0 | 30 | 2 | 8,000,000$ | |||
7 | Radek Faksa | X | 100.00 | 85 | 33 | 86 | 82 | 86 | 83 | 76 | 84 | 82 | 78 | 75 | 77 | 75 | 96 | 96 | 1 | 50 | 0 | 0 | 29 | 2 | 3,500,000$ | ||||
8 | Aleksander Barkov (C) | X | 100.00 | 86 | 30 | 99 | 89 | 93 | 92 | 90 | 94 | 86 | 90 | 86 | 80 | 86 | 94 | 95 | 1 | 50 | 0 | 0 | 28 | 1 | 6,750,000$ | ||||
9 | Hudson Fasching | X | 100.00 | 90 | 43 | 82 | 81 | 86 | 78 | 74 | 81 | 63 | 74 | 75 | 73 | 73 | 80 | 79 | 6 | 50 | 0 | 0 | 28 | 1 | 1,600,000$ | ||||
10 | Boone Jenner | X | X | 100.00 | 96 | 45 | 77 | 82 | 88 | 88 | 80 | 84 | 77 | 79 | 77 | 74 | 79 | 96 | 99 | 1 | 50 | 0 | 0 | 30 | 2 | 5,000,000$ | |||
11 | Oliver Bjorkstrand | X | X | 100.00 | 82 | 40 | 84 | 91 | 79 | 86 | 85 | 86 | 65 | 80 | 79 | 75 | 80 | 97 | 94 | 1 | 50 | 0 | 0 | 28 | 2 | 5,500,000$ | |||
12 | Chris Tierney | X | X | 100.00 | 73 | 25 | 95 | 89 | 82 | 87 | 87 | 85 | 76 | 79 | 78 | 78 | 77 | 92 | 99 | 1 | 50 | 0 | 0 | 29 | 1 | 4,000,000$ | |||
13 | Ryan Graves | X | 100.00 | 92 | 45 | 79 | 78 | 89 | 85 | 83 | 79 | 51 | 75 | 67 | 90 | 65 | 82 | 78 | 6 | 50 | 0 | 0 | 28 | 2 | 3,250,000$ | ||||
14 | Adam Fox | X | 100.00 | 78 | 38 | 81 | 87 | 77 | 87 | 88 | 87 | 50 | 80 | 67 | 88 | 69 | 82 | 80 | 9 | 50 | 0 | 0 | 25 | 2 | 4,650,000$ | ||||
15 | Aaron Ekblad (A) | X | 100.00 | 95 | 46 | 74 | 90 | 89 | 89 | 84 | 87 | 52 | 82 | 77 | 95 | 74 | 96 | 99 | 9 | 50 | 0 | 0 | 27 | 6 | 9,000,000$ | ||||
16 | Connor Murphy | X | 100.00 | 93 | 44 | 71 | 78 | 85 | 82 | 74 | 80 | 50 | 76 | 68 | 88 | 65 | 97 | 95 | 6 | 50 | 0 | 0 | 30 | 1 | 1,250,000$ | ||||
17 | Shea Theodore | X | 100.00 | 78 | 30 | 94 | 90 | 87 | 86 | 86 | 88 | 50 | 83 | 76 | 88 | 73 | 92 | 92 | 9 | 50 | 0 | 0 | 28 | 2 | 4,600,000$ | ||||
18 | Travis Sanheim | X | 100.00 | 78 | 34 | 85 | 85 | 84 | 85 | 84 | 80 | 50 | 78 | 69 | 91 | 67 | 88 | 87 | 7 | 50 | 0 | 0 | 27 | 6 | 5,750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Claude Giroux | X | X | X | 90.29 | 77 | 39 | 90 | 84 | 77 | 90 | 89 | 92 | 85 | 84 | 78 | 73 | 92 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 6,500,000$ | ||
2 | Robin Press | X | 100.00 | 77 | 35 | 85 | 77 | 86 | 82 | 88 | 78 | 50 | 73 | 73 | 85 | 73 | 81 | 78 | 6 | 50 | 0 | 0 | 29 | 1 | 950,000$ | ||||
3 | Frank Corrado | X | 100.00 | 84 | 44 | 81 | 82 | 81 | 79 | 73 | 79 | 51 | 74 | 64 | 87 | 67 | 92 | 87 | 6 | 50 | 0 | 0 | 30 | 1 | 900,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Matej Pekar (R) | X | X | 100.00 | 82 | 42 | 78 | 79 | 78 | 83 | 82 | 79 | 73 | 72 | 71 | 66 | 71 | 68 | 69 | 6 | 50 | 0 | 0 | 23 | 1 | 850,000$ | |||
2 | MacKenzie MacEachern | X | X | 100.00 | 84 | 45 | 84 | 81 | 84 | 81 | 79 | 81 | 65 | 73 | 74 | 70 | 73 | 84 | 81 | 1 | 50 | 0 | 0 | 29 | 1 | 925,000$ | |||
3 | Jonathan Gruden (R) | X | 100.00 | 72 | 35 | 78 | 76 | 74 | 82 | 81 | 77 | 65 | 71 | 71 | 65 | 68 | 71 | 71 | 6 | 50 | 0 | 0 | 23 | 2 | 825,000$ | ||||
4 | Lucas Elvenes (R) | X | X | 100.00 | 58 | 30 | 82 | 80 | 73 | 82 | 79 | 79 | 65 | 73 | 72 | 68 | 75 | 77 | 79 | 6 | 50 | 0 | 0 | 24 | 2 | 850,000$ | |||
5 | Andreas Athanasiou | X | X | X | 100.00 | 70 | 30 | 92 | 91 | 84 | 83 | 84 | 86 | 73 | 75 | 74 | 67 | 80 | 83 | 76 | 1 | 50 | 0 | 0 | 29 | 1 | 1,750,000$ | ||
6 | Tyler Bozak | X | X | 100.00 | 65 | 35 | 99 | 72 | 70 | 83 | 84 | 76 | 86 | 71 | 70 | 72 | 74 | 99 | 99 | 1 | 50 | 0 | 0 | 37 | 1 | 900,000$ | |||
7 | Casey Cizikas | X | 100.00 | 73 | 35 | 90 | 77 | 78 | 78 | 75 | 78 | 80 | 72 | 72 | 73 | 74 | 98 | 99 | 1 | 50 | 0 | 0 | 32 | 1 | 975,000$ | ||||
8 | Vincent Trocheck | X | X | 100.00 | 76 | 35 | 90 | 87 | 80 | 87 | 87 | 82 | 78 | 75 | 74 | 69 | 82 | 98 | 99 | 1 | 50 | 0 | 0 | 30 | 1 | 1,750,000$ | |||
9 | Seth Griffith | X | X | 100.00 | 70 | 23 | 93 | 86 | 73 | 80 | 78 | 78 | 74 | 73 | 71 | 65 | 75 | 84 | 83 | 1 | 50 | 0 | 0 | 30 | 1 | 950,000$ | |||
10 | Anthony Camara | X | 100.00 | 93 | 46 | 80 | 80 | 84 | 83 | 79 | 79 | 72 | 73 | 73 | 72 | 79 | 91 | 90 | 1 | 50 | 0 | 0 | 30 | 1 | 990,000$ | ||||
11 | Linus Lindstrom (R) | X | 100.00 | 67 | 27 | 90 | 80 | 76 | 85 | 88 | 78 | 77 | 72 | 72 | 72 | 71 | 72 | 71 | 6 | 50 | 0 | 0 | 25 | 1 | 950,000$ | ||||
12 | Tanner Kaspick (R) | X | 100.00 | 84 | 43 | 80 | 74 | 84 | 77 | 69 | 75 | 72 | 68 | 68 | 68 | 69 | 67 | 67 | 4 | 50 | 0 | 0 | 25 | 1 | 700,000$ | ||||
13 | Cam York (R) | X | 100.00 | 74 | 35 | 86 | 81 | 76 | 84 | 83 | 80 | 50 | 75 | 64 | 82 | 66 | 71 | 77 | 7 | 50 | 0 | 0 | 22 | 1 | 925,000$ | ||||
14 | John Moore | X | 100.00 | 76 | 40 | 90 | 72 | 84 | 78 | 74 | 76 | 50 | 73 | 66 | 89 | 59 | 98 | 99 | 1 | 50 | 0 | 0 | 33 | 1 | 1,100,000$ | ||||
15 | Josh Brown | X | 100.00 | 97 | 52 | 75 | 75 | 94 | 83 | 80 | 76 | 50 | 73 | 62 | 90 | 58 | 85 | 89 | 5 | 50 | 0 | 0 | 29 | 1 | 950,000$ | ||||
16 | Keaton Ellerby | X | 100.00 | 88 | 44 | 80 | 67 | 87 | 73 | 72 | 74 | 50 | 70 | 63 | 90 | 61 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 925,000$ | ||||
17 | Michal Kempný | X | 100.00 | 76 | 35 | 77 | 76 | 77 | 82 | 70 | 77 | 60 | 73 | 60 | 87 | 77 | 83 | 72 | 1 | 50 | 0 | 0 | 33 | 1 | 900,000$ | ||||
18 | Stuart Percy | X | 100.00 | 73 | 35 | 83 | 84 | 76 | 76 | 68 | 78 | 50 | 73 | 65 | 84 | 70 | 77 | 81 | 5 | 50 | 0 | 0 | 30 | 1 | 750,000$ | ||||
19 | Sean Malone | X | 100.00 | 78 | 35 | 90 | 83 | 79 | 77 | 75 | 78 | 74 | 73 | 73 | 72 | 72 | 71 | 71 | 5 | 50 | 0 | 0 | 28 | 1 | 990,000$ | ||||
20 | Aapeli Rasanen (R) | X | 100.00 | 80 | 45 | 78 | 73 | 83 | 75 | 68 | 73 | 71 | 64 | 65 | 66 | 66 | 63 | 63 | 3 | 50 | 0 | X | 0 | 25 | 1 | 700,000$ | |||
21 | Joel Hanley | X | 100.00 | 75 | 38 | 90 | 77 | 74 | 82 | 77 | 78 | 50 | 72 | 62 | 86 | 55 | 84 | 84 | 1 | 50 | 0 | 0 | 32 | 1 | 2,000,000$ | ||||
22 | Taylor Doherty | X | 100.00 | 93 | 44 | 75 | 71 | 93 | 78 | 73 | 74 | 50 | 73 | 65 | 93 | 55 | 97 | 98 | 1 | 50 | 0 | 0 | 32 | 1 | 950,000$ | ||||
TEAM AVERAGE | 99.52 | 83 | 37 | 84 | 84 | 84 | 85 | 83 | 84 | 66 | 79 | 75 | 80 | 76 | 91 | 91 | 4 | 50 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Marc-Andre Fleury | 100.00 | 85 | 87 | 80 | 83 | 89 | 86 | 88 | 83 | 84 | 86 | 91 | 99 | 99 | 1 | 50 | 0 | 0 | 39 | 1 | 1,000,000$ | |
2 | Juuse Saros | 100.00 | 91 | 88 | 89 | 80 | 94 | 91 | 93 | 94 | 94 | 89 | 86 | 78 | 76 | 10 | 50 | 0 | 0 | 28 | 5 | 7,150,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Magnus Hellberg | 100.00 | 85 | 78 | 84 | 93 | 89 | 88 | 89 | 88 | 87 | 87 | 84 | 77 | 80 | 1 | 50 | 0 | 0 | 32 | 1 | 975,000$ | |
2 | Keith Petruzzelli (R) | 100.00 | 86 | 85 | 86 | 87 | 88 | 86 | 87 | 86 | 87 | 87 | 85 | 70 | 69 | 8 | 50 | 0 | 0 | 24 | 2 | 1,250,000$ | |
3 | Michael McNiven (R) | 100.00 | 85 | 86 | 84 | 85 | 87 | 86 | 84 | 86 | 85 | 85 | 81 | 64 | 64 | 8 | 50 | 0 | 0 | 26 | 1 | 1,000,000$ | |
TEAM AVERAGE | 100.00 | 88 | 88 | 85 | 82 | 92 | 89 | 91 | 89 | 89 | 88 | 89 | 89 | 88 | 6 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 86 | 93 | 85 | 95 | 93 | 90 | 70 | CAN | 61 | 2 | 4,000,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Aleksander Barkov | Florida Panthers | C | 4 | 1 | 4 | 5 | 1 | 0 | 0 | 5 | 9 | 19 | 6 | 8 | 5.26% | 1 | 84 | 21.03 | 0 | 1 | 1 | 6 | 19 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 57.33% | 75 | 5 | 2 | 0 | 0 | 1.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
2 | Steven Stamkos | Florida Panthers | C/LW/RW | 4 | 2 | 1 | 3 | 0 | 0 | 0 | 4 | 0 | 18 | 4 | 18 | 11.11% | 1 | 78 | 19.53 | 0 | 0 | 0 | 3 | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 8 | 3 | 0 | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Josh Bailey | Florida Panthers | C/LW/RW | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 2 | 1 | 2 | 50.00% | 0 | 19 | 9.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 1 | 1 | 0 | 0 | 2.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
4 | Brandon Tanev | Florida Panthers | LW/RW | 4 | 1 | 1 | 2 | 1 | 0 | 0 | 3 | 1 | 2 | 3 | 3 | 50.00% | 0 | 35 | 8.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 0 | 0 | 0 | 1.13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5 | Jonathan Huberdeau | Florida Panthers | LW/RW | 4 | 2 | 0 | 2 | -1 | 10 | 0 | 5 | 1 | 18 | 4 | 6 | 11.11% | 1 | 71 | 17.98 | 1 | 0 | 1 | 10 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 9 | 0 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Claude Giroux | Florida Panthers | C/LW/RW | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 2 | 5 | 4 | 2 | 0.00% | 0 | 39 | 13.00 | 0 | 1 | 1 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.18% | 17 | 4 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Ryan Graves | Florida Panthers | D | 4 | 0 | 1 | 1 | -3 | 0 | 0 | 6 | 4 | 2 | 2 | 2 | 0.00% | 1 | 68 | 17.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Adam Fox | Florida Panthers | D | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 2 | 3 | 0 | 1 | 0.00% | 3 | 77 | 19.29 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Aaron Ekblad | Florida Panthers | D | 4 | 1 | 0 | 1 | 0 | 2 | 0 | 12 | 14 | 6 | 0 | 4 | 16.67% | 4 | 96 | 24.20 | 0 | 0 | 0 | 2 | 21 | 1 | 0 | 1 | 2 | 10 | 0 | 0 | 0.00% | 0 | 4 | 3 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
10 | Radek Faksa | Florida Panthers | C | 4 | 0 | 1 | 1 | -2 | 2 | 0 | 3 | 7 | 3 | 3 | 3 | 0.00% | 2 | 51 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 13 | 0 | 0 | 60.00% | 35 | 2 | 3 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Connor Murphy | Florida Panthers | D | 4 | 0 | 1 | 1 | -1 | 4 | 0 | 9 | 7 | 5 | 2 | 2 | 0.00% | 1 | 62 | 15.52 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 6 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Shea Theodore | Florida Panthers | D | 4 | 0 | 1 | 1 | -1 | 0 | 0 | 3 | 3 | 5 | 3 | 5 | 0.00% | 5 | 87 | 21.94 | 0 | 1 | 1 | 2 | 21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Hudson Fasching | Florida Panthers | LW | 3 | 0 | 1 | 1 | 2 | 0 | 0 | 3 | 0 | 2 | 1 | 2 | 0.00% | 0 | 27 | 9.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Boone Jenner | Florida Panthers | C/LW | 4 | 0 | 1 | 1 | -3 | 4 | 0 | 6 | 2 | 6 | 1 | 1 | 0.00% | 2 | 55 | 13.97 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 75.00% | 8 | 4 | 0 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Oliver Bjorkstrand | Florida Panthers | LW/RW | 4 | 1 | 0 | 1 | -2 | 0 | 0 | 0 | 2 | 5 | 1 | 4 | 20.00% | 0 | 61 | 15.49 | 1 | 0 | 1 | 2 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 6 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Travis Sanheim | Florida Panthers | D | 4 | 0 | 1 | 1 | -5 | 6 | 0 | 6 | 10 | 6 | 1 | 0 | 0.00% | 4 | 81 | 20.35 | 0 | 1 | 1 | 0 | 4 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Chris Tierney | Florida Panthers | C/LW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 2 | 3 | 0 | 5 | 0.00% | 0 | 59 | 14.95 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 66.67% | 3 | 5 | 0 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Brendan Perlini | Florida Panthers | LW/RW | 4 | 0 | 0 | 0 | -5 | 0 | 0 | 7 | 3 | 1 | 1 | 2 | 0.00% | 0 | 61 | 15.37 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 50.00% | 2 | 5 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Anton Lundell | Florida Panthers | C | 4 | 0 | 0 | 0 | -3 | 2 | 0 | 4 | 2 | 7 | 2 | 2 | 0.00% | 2 | 63 | 15.78 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.90% | 41 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 72 | 9 | 17 | 26 | -21 | 30 | 0 | 82 | 72 | 118 | 39 | 72 | 7.63% | 27 | 1183 | 16.44 | 2 | 4 | 6 | 28 | 179 | 1 | 2 | 3 | 4 | 85 | 0 | 0 | 51.27% | 197 | 60 | 29 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | Juuse Saros | Florida Panthers | 4 | 0 | 3 | 1 | 0.876 | 3.26 | 239 | 0 | 0 | 13 | 105 | 54 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Team Total or Average | 4 | 0 | 3 | 1 | 0.876 | 3.26 | 239 | 0 | 0 | 13 | 105 | 54 | 0 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Birthday | Terms | Contract | Cap % | Year 2023 | Year 2024 | Year 2025 | Year 2026 | Year 2027 | Year 2028 | Year 2029 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Forward | |||||||||||||
Aleksander Barkov | C | 28 | 1994-01-22 07:46:13 | TW | 1 | 7.76% | 6,750,000$ | UFA [Age: 29] | |||||
Anton Lundell | C | 22 | 2000-01-02 15:07:55 | TW | 3 | 1.09% | 950,000$ | 950,000$ | 950,000$ | RFA ( Groupe: 2 ) [Age: 25] | |||
Boone Jenner | C/LW | 30 | 1992-01-22 17:02:57 | TW | 2 | 5.75% | 5,000,000$ | 5,000,000$ | UFA [Age: 32] | ||||
Brandon Tanev | LW/RW | 32 | 1990-01-02 18:31:05 | TW | 2 | 2.87% | 2,500,000$ | 2,500,000$ | UFA [Age: 34] | ||||
Brendan Perlini | LW/RW | 27 | 1995-01-22 08:05:22 | TW | 4 | 4.60% | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA [Age: 31] | ||
Chris Tierney | C/LW | 29 | 1993-01-22 03:28:25 | TW | 1 | 4.60% | 4,000,000$ | UFA [Age: 30] | |||||
Claude Giroux | C/LW/RW | 35 | 1987-01-22 00:29:38 | NT IN TW | 1 | 0.00% | 6,500,000$ | UFA [Age: 36] | |||||
Hudson Fasching | LW | 28 | 1994-01-22 11:34:01 | TW | 1 | 1.84% | 1,600,000$ | UFA [Age: 29] | |||||
Jonathan Huberdeau | LW/RW | 30 | 1992-01-22 07:18:11 | TW | 2 | 9.20% | 8,000,000$ | 8,000,000$ | UFA [Age: 32] | ||||
Josh Bailey | C/LW/RW | 34 | 1988-01-22 06:29:38 | TW | 1 | 2.30% | 2,000,000$ | UFA [Age: 35] | |||||
Oliver Bjorkstrand | LW/RW | 28 | 1994-01-22 04:37:27 | TW | 2 | 6.32% | 5,500,000$ | 5,500,000$ | UFA [Age: 30] | ||||
Radek Faksa | C | 29 | 1993-01-22 10:42:33 | TW | 2 | 4.02% | 3,500,000$ | 3,500,000$ | UFA [Age: 31] | ||||
Steven Stamkos | C/LW/RW | 33 | 1989-01-22 12:29:38 | TW | 2 | 10.92% | 9,500,000$ | 9,500,000$ | UFA [Age: 35] | ||||
AVERAGE (13) | 29.62 | 61.26% | 53,300,000$ | 38,950,000$ | 4,950,000$ | 4,000,000$ | 0$ | 0$ | 0$ | ||||
Defenseman | |||||||||||||
Aaron Ekblad | D | 27 | 1995-01-22 13:18:02 | TW | 6 | 10.34% | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA [Age: 33] |
Adam Fox | D | 25 | 1997-01-02 23:40:01 | TW | 2 | 5.34% | 4,650,000$ | 4,650,000$ | RFA ( Groupe: 2 ) [Age: 27] | ||||
Connor Murphy | D | 30 | 1992-01-22 13:53:45 | TW | 1 | 1.44% | 1,250,000$ | UFA [Age: 31] | |||||
Frank Corrado | D | 30 | 1992-01-22 04:41:26 | TW | 1 | 1.03% | 900,000$ | UFA [Age: 31] | |||||
Robin Press | D | 29 | 1993-01-02 23:40:20 | TW | 1 | 1.09% | 950,000$ | UFA [Age: 30] | |||||
Ryan Graves | D | 28 | 1994-01-22 03:56:05 | NT TW | 2 | 3.74% | 3,250,000$ | 3,250,000$ | UFA [Age: 30] | ||||
Shea Theodore | D | 28 | 1994-01-22 05:29:41 | TW | 2 | 5.29% | 4,600,000$ | 4,600,000$ | UFA [Age: 30] | ||||
Travis Sanheim | D | 27 | 1995-01-22 04:46:56 | TW | 6 | 6.61% | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA [Age: 33] |
AVERAGE (8) | 28.00 | 34.89% | 30,350,000$ | 27,250,000$ | 14,750,000$ | 14,750,000$ | 14,750,000$ | 14,750,000$ | 0$ | ||||
Goalies | |||||||||||||
Juuse Saros | G | 28 | 1994-01-22 07:37:20 | TW | 5 | 8.22% | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | UFA [Age: 33] | |
Marc-Andre Fleury | G | 39 | 1983-01-22 06:29:38 | TW | 1 | 1.15% | 1,000,000$ | UFA [Age: 40] | |||||
AVERAGE (2) | 33.50 | 9.37% | 8,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 7,150,000$ | 0$ | 0$ | ||||
Special Salary Cap Value | -4,000,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (23) | 100.92% | 87,800,000$ | 73,350,000$ | 26,850,000$ | 25,900,000$ | 21,900,000$ | 14,750,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Tierney
19
|
Barkov
16
|
Stamkos
0
| |||||
Bjorkstrand
27
|
Lundell
0
|
Huberdeau
11
| |||||
Jenner
0
|
Faksa
0
|
Perlini
29
| |||||
Fasching
0
|
Bailey
0
|
Tanev
0
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Ekblad
5
|
Sanheim
22
| ||||||
Fox
0
|
Theodore
37
| ||||||
Murphy
0
|
Graves
4
| ||||||
Murphy
0
|
Graves
4
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Stamkos
0
|
Barkov
16
|
Bjorkstrand
27
| |||||
Tierney
19
|
Lundell
0
|
Perlini
29
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Huberdeau
11
|
Theodore
37
| ||||||
Ekblad
5
|
Fox
0
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Faksa
0
|
Perlini
29
| |||||
Jenner
0
|
Tierney
19
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Graves
4
|
Sanheim
22
| |||||
Ekblad
5
|
Murphy
0
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Faksa
0
|
Graves
4
|
Sanheim
22
| |||||||||
Jenner
0
|
Ekblad
5
|
Murphy
0
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Barkov
16
|
Stamkos
0
| |||||
Lundell
0
|
Huberdeau
11
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Sanheim
22
|
Theodore
37
| |||||
Fox
0
|
Ekblad
5
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Steven Stamkos | Aleksander Barkov | Jonathan Huberdeau | Aaron Ekblad | Shea Theodore |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Chris Tierney | Aleksander Barkov | Brendan Perlini | Aaron Ekblad | Travis Sanheim |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Aleksander Barkov, Steven Stamkos, Jonathan Huberdeau | Aleksander Barkov, Steven Stamkos | Aleksander Barkov |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Aaron Ekblad, Shea Theodore, Travis Sanheim | Aaron Ekblad | Aaron Ekblad, Travis Sanheim |
Penalty Shots |
---|
Aleksander Barkov, Steven Stamkos, Jonathan Huberdeau, Oliver Bjorkstrand, Chris Tierney |
Goalie |
---|
#1 : Juuse Saros, #2 : Marc-Andre Fleury |
Custom OT Lines Forwards |
---|
Aleksander Barkov, Steven Stamkos, Jonathan Huberdeau, Oliver Bjorkstrand, Hudson Fasching, Anton Lundell, Anton Lundell, Chris Tierney, Boone Jenner, Brendan Perlini, Brandon Tanev |
Custom OT Lines Defensemen |
---|
Aaron Ekblad, Shea Theodore, Adam Fox, Ryan Graves, Connor Murphy |
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 |
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 | Columbus Blue Jackets | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 118 | 41 | 34 | 43 | 0 | 105 | 27 | 30 | 82 | 22 | 2 | 9.09% | 15 | 2 | 86.67% | 1 | 40 | 76 | 52.63% | 36 | 71 | 50.70% | 25 | 50 | 50.00% | 96 | 62 | 86 | 30 | 59 | 30 |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 118 | 41 | 34 | 43 | 0 | 105 | 27 | 30 | 82 | 22 | 2 | 9.09% | 15 | 2 | 86.67% | 1 | 40 | 76 | 52.63% | 36 | 71 | 50.70% | 25 | 50 | 50.00% | 96 | 62 | 86 | 30 | 59 | 30 | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 118 | 41 | 34 | 43 | 0 | 105 | 27 | 30 | 82 | 22 | 2 | 9.09% | 15 | 2 | 86.67% | 1 | 40 | 76 | 52.63% | 36 | 71 | 50.70% | 25 | 50 | 50.00% | 96 | 62 | 86 | 30 | 59 | 30 | |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 118 | 41 | 34 | 43 | 0 | 105 | 27 | 30 | 82 | 22 | 2 | 9.09% | 15 | 2 | 86.67% | 1 | 40 | 76 | 52.63% | 36 | 71 | 50.70% | 25 | 50 | 50.00% | 96 | 62 | 86 | 30 | 59 | 30 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
4 | 0 | OTL1 | 9 | 17 | 26 | 118 | 105 | 27 | 30 | 82 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 4 | 0 | 0 | 0 | 0 | 9 | 13 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 3 | 5 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 6 | 8 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 3 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
22 | 2 | 9.09% | 15 | 2 | 86.67% | 1 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
41 | 34 | 43 | 0 | 2 | 2 | 5 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
40 | 76 | 52.63% | 36 | 71 | 50.70% | 25 | 50 | 50.00% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
96 | 62 | 86 | 30 | 59 | 30 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
Day:1 | ||||||||||
1 | 3 | Columbus Blue Jackets | 3 | Florida Panthers | 2 | L | BoxScore | |||
Day:3 | ||||||||||
3 | 11 | Columbus Blue Jackets | 2 | Florida Panthers | 1 | L | BoxScore | |||
Day:5 | ||||||||||
5 | 19 | Florida Panthers | 3 | Columbus Blue Jackets | 4 | L | BoxScore | |||
Day:7 | ||||||||||
7 | 27 | Florida Panthers | 3 | Columbus Blue Jackets | 4 | L | X | BoxScore |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 | Lien |
---|---|---|---|---|
Abram Wiebe | Florida Panthers | 2023 | 184 | Lien DobberProspects |
Brayden Schuurman | Florida Panthers | 2022 | 124 | Lien DobberProspects |
Carter Savoie | Florida Panthers | 2020 | 28 | Lien DobberProspects |
Cole Spicer | Florida Panthers | 2022 | 126 | Lien DobberProspects |
Gavin Thoreson | Florida Panthers | 2023 | 132 | Lien DobberProspects |
Jakub Dvorak | Florida Panthers | 2023 | 74 | Lien DobberProspects |
Kasper Lundell | Florida Panthers | 2022 | 157 | Lien DobberProspects |
Kenny Connors | Florida Panthers | 2023 | 131 | Lien DobberProspects |
Kirill Kudryavtsev | Florida Panthers | 2023 | 140 | Lien DobberProspects |
Liam Gilmartin | Florida Panthers | 2021 | 128 | Lien DobberProspects |
Linus Karlsson | Florida Panthers | 2018 | 87 | Lien DobberProspects |
Luke Mittelstadt | Florida Panthers | 2021 | 161 | Lien DobberProspects |
Maksymilian Szuber | Florida Panthers | 2023 | 173 | Lien DobberProspects |
Marcus Westfalt | Florida Panthers | 2018 | 139 | Lien DobberProspects |
Mason Beaupit | Florida Panthers | 2022 | 130 | Lien DobberProspects |
Matthew Knies | Florida Panthers | 2021 | 23 | Lien DobberProspects |
Olivier Nadeau | Florida Panthers | 2021 | 93 | Lien DobberProspects |
Ryan Francis | Florida Panthers | 2020 | 158 | Lien DobberProspects |
Topi Rönni | Florida Panthers | 2022 | 90 | Lien DobberProspects |
Tyler Angle* | Florida Panthers | Lien DobberProspects | ||
Will Cranley | Florida Panthers | 2020 | 160 | Lien DobberProspects |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |