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Full Scoreboard »» |
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Full Scoreboard »» |
Tampa Bay Lightning 23-40-6, 52pts · 16th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 98.00 | 70 | 33 | 77 | 72 | 76 | 80 | 90 | 75 | 60 | 74 | 76 | 78 | 75 | 77 | 84 | 0 | 15 | 85 | 30 | 1,750,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 64 | 32 | 90 | 77 | 73 | 78 | 76 | 73 | 57 | 73 | 77 | 78 | 75 | 71 | 70 | 0 | 19 | 84 | 27 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 61 | 33 | 90 | 71 | 75 | 82 | 88 | 73 | 81 | 75 | 73 | 71 | 73 | 88 | 87 | 0 | 19 | 83 | 37 | 4,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 83 | 46 | 74 | 66 | 81 | 75 | 90 | 71 | 61 | 75 | 70 | 69 | 70 | 85 | 82 | 0 | 46 | 81 | 35 | 2,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 86 | 34 | 73 | 71 | 93 | 77 | 88 | 72 | 57 | 73 | 74 | 64 | 73 | 71 | 68 | 0 | 54 | 81 | 27 | 3,000,000$/1yrs | |||
![]() | 0 | C | 99.00 | 70 | 36 | 76 | 67 | 64 | 76 | 90 | 74 | 81 | 76 | 70 | 75 | 72 | 67 | 65 | 0 | 19 | 81 | 25 | 1,300,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 32 | 85 | 73 | 72 | 79 | 82 | 70 | 72 | 74 | 73 | 68 | 71 | 68 | 67 | 0 | 17 | 81 | 25 | 2,200,000$/2yrs | |||
![]() | 11 | RW | 100.00 | 67 | 38 | 58 | 68 | 69 | 80 | 79 | 71 | 59 | 73 | 68 | 63 | 69 | 77 | 86 | 0 | 19 | 79 | 30 | 6,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 32 | 90 | 68 | 69 | 75 | 75 | 71 | 58 | 78 | 64 | 61 | 67 | 74 | 73 | 0 | 16 | 79 | 28 | 1,500,000$/2yrs | |||
![]() | 55 | C/LW/RW | 100.00 | 95 | 58 | 70 | 60 | 85 | 76 | 90 | 64 | 70 | 68 | 64 | 72 | 64 | 68 | 65 | 0 | 21 | 78 | 25 | 1,500,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 62 | 32 | 93 | 60 | 72 | 80 | 81 | 64 | 59 | 73 | 57 | 77 | 61 | 77 | 76 | 0 | 14 | 77 | 30 | 3,900,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 76 | 39 | 74 | 59 | 74 | 68 | 73 | 62 | 68 | 59 | 64 | 70 | 62 | 77 | 75 | 0 | 15 | 75 | 31 | 1,350,000$/1yrs | |||
![]() | 0 | D | 99.00 | 72 | 37 | 63 | 59 | 79 | 86 | 90 | 66 | 30 | 66 | 62 | 90 | 64 | 80 | 77 | 0 | 21 | 82 | 32 | 6,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 33 | 90 | 57 | 82 | 88 | 79 | 67 | 30 | 68 | 61 | 84 | 64 | 85 | 84 | 0 | 58 | 81 | 35 | 5,250,000$/2yrs | |||
![]() | 0 | D | 99.00 | 65 | 33 | 88 | 61 | 82 | 83 | 87 | 68 | 30 | 71 | 62 | 79 | 65 | 77 | 76 | 0 | 54 | 81 | 31 | 2,000,000$/3yrs | |||
![]() | 79 | D | 100.00 | 67 | 39 | 79 | 70 | 72 | 71 | 73 | 67 | 30 | 75 | 63 | 72 | 69 | 70 | 68 | 0 | 41 | 81 | 27 | 750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 33 | 80 | 64 | 77 | 85 | 87 | 65 | 30 | 69 | 60 | 79 | 62 | 68 | 66 | 0 | 15 | 80 | 25 | 1,500,000$/2yrs | |||
![]() | 8 | D | 100.00 | 70 | 33 | 81 | 60 | 85 | 83 | 89 | 61 | 30 | 67 | 58 | 81 | 60 | 68 | 66 | 0 | 14 | 78 | 25 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 63 | 32 | 84 | 63 | 70 | 81 | 88 | 64 | 30 | 67 | 57 | 80 | 60 | 64 | 63 | 0 | 19 | 78 | 23 | 2,500,000$/2yrs | |||
![]() | 6 | D | 100.00 | 76 | 33 | 85 | 62 | 77 | 86 | 82 | 63 | 30 | 69 | 62 | 69 | 62 | 75 | 73 | 0 | 17 | 78 | 29 | 3,000,000$/2yrs | |||
TEAM AVERAGE | 99.65 | 70 | 36 | 80 | 65 | 76 | 79 | 84 | 68 | 51 | 71 | 66 | 74 | 67 | 74 | 74 | 0 | 26 | 80 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 82 | 71 | 70 | 85 | 88 | 81 | 86 | 86 | 83 | 88 | 86 | 64 | 68 | 0 | 26 | 85 | 22 | 850,833$/2yrs |
![]() | 0 | 100.00 | 68 | 68 | 69 | 73 | 79 | 83 | 80 | 81 | 86 | 80 | 80 | 64 | 68 | 0 | 19 | 80 | 23 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 96.00 | 81 | 65 | 67 | 74 | 75 | 71 | 77 | 80 | 70 | 82 | 77 | 82 | 86 | 0 | 12 | 79 | 34 | 2,000,000$/2yrs |
TEAM AVERAGE | 98.67 | 77 | 68 | 69 | 77 | 81 | 78 | 81 | 82 | 80 | 83 | 81 | 70 | 74 | 0 | 19 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 76 | 78 | 92 | 68 | 78 | 74 | 78 | CAN | 56 | 1 | 1,000,000$ |
General Manager | Myriam D'astous |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Paul Stastny | 0 | C/LW | 69 | 14 | 34 | 48 | -14 | 12 | 0 | 59 | 182 | 64 | 154 | 7.69% | 13 | 19.43 | 5 | 14 | 19 | 209 | 1 | 0 | 1 | 101 | 1 | 0 | 49.28% | 1461 | 0 | 0 | 0 | 0 | 0.72 | 0 | 3 | |
2 | Ondrej Kase | 0 | LW/RW | 69 | 19 | 17 | 36 | -9 | 18 | 0 | 43 | 199 | 60 | 167 | 9.55% | 12 | 19.60 | 1 | 3 | 4 | 183 | 0 | 0 | 0 | 168 | 3 | 0 | 35.98% | 189 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
3 | Travis Hamonic | 0 | D | 69 | 11 | 25 | 36 | -8 | 71 | 5 | 140 | 106 | 34 | 52 | 10.38% | 154 | 22.76 | 1 | 7 | 8 | 174 | 0 | 1 | 1 | 196 | 5 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
4 | Nick Foligno | 0 | C/LW/RW | 69 | 11 | 16 | 27 | -1 | 43 | 5 | 145 | 130 | 34 | 87 | 8.46% | 11 | 14.65 | 2 | 2 | 4 | 73 | 0 | 0 | 0 | 23 | 2 | 0 | 43.98% | 191 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
5 | Brendan Gallagher | 11 | RW | 69 | 12 | 11 | 23 | -18 | 45 | 5 | 129 | 106 | 36 | 70 | 11.32% | 8 | 17.31 | 6 | 6 | 12 | 212 | 0 | 0 | 0 | 34 | 1 | 0 | 38.46% | 91 | 0 | 0 | 0 | 0 | 0.39 | 0 | 1 | |
6 | Jordan Martinook | 0 | C/LW/RW | 57 | 13 | 10 | 23 | -21 | 26 | 0 | 115 | 143 | 39 | 71 | 9.09% | 9 | 16.86 | 3 | 3 | 6 | 123 | 0 | 0 | 0 | 43 | 1 | 0 | 41.76% | 182 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
7 | Erik Brannstrom | 0 | D | 62 | 1 | 17 | 18 | -7 | 38 | 0 | 76 | 17 | 10 | 22 | 5.88% | 47 | 16.72 | 1 | 0 | 1 | 34 | 0 | 0 | 0 | 100 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
8 | Jon Merrill | 0 | D | 72 | 1 | 17 | 18 | -4 | 36 | 0 | 64 | 35 | 12 | 28 | 2.86% | 80 | 18.06 | 0 | 4 | 4 | 21 | 0 | 0 | 0 | 208 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
9 | Caleb Jones | 0 | D | 60 | 4 | 13 | 17 | -15 | 26 | 0 | 49 | 44 | 16 | 25 | 9.09% | 68 | 21.32 | 2 | 4 | 6 | 122 | 0 | 0 | 0 | 130 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
10 | Alec Martinez | 0 | D | 65 | 3 | 13 | 16 | 4 | 35 | 5 | 47 | 37 | 11 | 14 | 8.11% | 71 | 18.25 | 2 | 1 | 3 | 29 | 0 | 0 | 0 | 154 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
11 | Nick Ritchie | 0 | LW | 70 | 9 | 7 | 16 | -14 | 42 | 0 | 120 | 87 | 23 | 79 | 10.34% | 6 | 13.00 | 5 | 1 | 6 | 150 | 0 | 0 | 0 | 4 | 1 | 0 | 48.53% | 68 | 0 | 0 | 0 | 0 | 0.35 | 1 | 2 | |
12 | Keegan Kolesar | 55 | C/LW/RW | 69 | 6 | 8 | 14 | -8 | 39 | 5 | 135 | 56 | 16 | 52 | 10.71% | 9 | 10.14 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 9 | 0 | 0 | 44.42% | 412 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
13 | Rem Pitlick | 0 | C/LW/RW | 69 | 7 | 6 | 13 | -13 | 4 | 0 | 9 | 86 | 13 | 52 | 8.14% | 4 | 12.02 | 1 | 2 | 3 | 42 | 2 | 0 | 2 | 48 | 0 | 0 | 40.98% | 366 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
14 | Vinnie Hinostroza | 0 | LW/RW | 69 | 6 | 6 | 12 | -14 | 6 | 0 | 23 | 63 | 16 | 42 | 9.52% | 2 | 10.10 | 2 | 1 | 3 | 54 | 0 | 0 | 0 | 7 | 0 | 0 | 39.69% | 131 | 0 | 0 | 1 | 0 | 0.34 | 0 | 0 | |
15 | Blake Lizotte | 0 | C | 41 | 6 | 6 | 12 | 2 | 6 | 0 | 15 | 58 | 13 | 33 | 10.34% | 2 | 10.57 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 35 | 0 | 1 | 52.36% | 424 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
16 | Johnathan Kovacevic | 8 | D | 40 | 1 | 8 | 9 | -6 | 43 | 5 | 62 | 21 | 6 | 15 | 4.76% | 43 | 15.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
17 | Mike Reilly | 6 | D | 58 | 1 | 7 | 8 | -12 | 46 | 0 | 87 | 27 | 12 | 23 | 3.70% | 47 | 17.14 | 1 | 2 | 3 | 68 | 0 | 0 | 0 | 71 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
18 | Jordan Gross | 79 | D | 13 | 2 | 4 | 6 | -2 | 20 | 0 | 22 | 13 | 0 | 9 | 15.38% | 11 | 18.79 | 2 | 0 | 2 | 20 | 0 | 0 | 0 | 16 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
19 | Chris Wagner | 0 | C/LW/RW | 39 | 4 | 0 | 4 | 0 | 12 | 0 | 35 | 27 | 9 | 25 | 14.81% | 2 | 9.63 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 35 | 1 | 1 | 44.54% | 119 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
20 | Joonas Donskoi | 0 | RW | 32 | 1 | 2 | 3 | 3 | 2 | 0 | 2 | 10 | 4 | 11 | 10.00% | 1 | 7.00 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 44.44% | 99 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
Team Total or Average | 1161 | 132 | 227 | 359 | -157 | 570 | 30 | 1377 | 1447 | 428 | 1031 | 9.12% | 600 | 15.73 | 34 | 50 | 84 | 1562 | 3 | 1 | 4 | 1472 | 18 | 5 | 46.08% | 3733 | 0 | 0 | 1 | 0 | 0.39 | 1 | 6 |
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 | Jonathan Bernier | 18 | 6 | 10 | 1 | 0.904 | 2.71 | 995 | 2 | 1 | 45 | 469 | 0 | 0 | 0 | 0.500 | 2 | 18 | 33 | 2 | 0 | 0 | |
2 | Akira Schmid | 9 | 3 | 6 | 0 | 0.896 | 3.16 | 475 | 0 | 2 | 25 | 241 | 0 | 0 | 1 | 0.000 | 0 | 8 | 5 | 2 | 0 | 0 | |
3 | Samuel Ersson | 1 | 0 | 0 | 0 | 0.941 | 2.31 | 26 | 0 | 0 | 1 | 17 | 0 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 | |
Team Total or Average | 28 | 9 | 16 | 1 | 0.902 | 2.85 | 1497 | 2 | 3 | 71 | 727 | 0 | 0 | 1 | 0.500 | 2 | 26 | 39 | 4 | 0 | 0 |
Projected Total Cap Hit | 64,966,187$ |
Projected Cap Space | 17,533,813$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 57,187,622$ |
Players In Salary Cap | 20 |
LTIR Players | 3 |
Lightning Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid ![]() ![]() | G | 22 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Alec Martinez | D | 35 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Blake Lizotte | C | 25 | 1,300,000$ | 1,300,000$ | |||||||
Brendan Gallagher | RW | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Caleb Jones | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Chris Wagner | C/LW/RW | 31 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Erik Brannstrom | D | 23 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Johnathan Kovacevic ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Jon Merrill | D | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Jonathan Bernier ![]() | G | 34 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Joonas Donskoi | RW | 30 | 3,900,000$ | 3,900,000$ | UFA | ||||||
Jordan Gross ![]() | D | 27 | 750,000$ | 950,000$ | 950,000$ | UFA | |||||
Jordan Martinook | C/LW/RW | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Keegan Kolesar | C/LW/RW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Mike Reilly | D | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Nick Foligno | C/LW/RW | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Nick Ritchie | LW | 27 | 3,000,000$ | 3,000,000$ | |||||||
Ondrej Kase | LW/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Paul Stastny | C/LW | 37 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Rem Pitlick | C/LW/RW | 25 | 2,200,000$ | 2,200,000$ | 2,200,000$ | ||||||
Samuel Ersson ![]() ![]() | G | 23 | 750,000$ | 750,000$ | RFA | ||||||
Travis Hamonic | D | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Vinnie Hinostroza | LW/RW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Gleason ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Brett Seney ![]() ![]() | C/LW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Brogan Rafferty ![]() | D | 27 | 750,000$ | 750,000$ | UFA | ||||||
Carson Meyer ![]() ![]() | RW | 25 | 773,000$ | 773,000$ | ![]() | ||||||
Christian Kyrou ![]() | D | 19 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | |||
Colton Dach ![]() | C/LW | 20 | 847,500$ | 847,500$ | 847,500$ | 847,500$ | RFA | ||||
Declan McDonnell ![]() | RW | 20 | 0$ | RFA | |||||||
Dillon Heatherington ![]() | D | 27 | 750,000$ | 750,000$ | UFA | ||||||
Drew O'Connor ![]() | LW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Eemil Viro ![]() | D | 20 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Fabian Lysell ![]() | RW | 20 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Felix Robert ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Fredrik Olofsson ![]() | C/LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Hugo Alnefelt ![]() | G | 21 | 750,000$ | 750,000$ | RFA | ||||||
Jack Finley ![]() | C | 20 | 797,500$ | 797,500$ | 797,500$ | 797,500$ | RFA | ||||
Jimmy Huntington ![]() | C | 24 | 809,166$ | 809,166$ | RFA | ||||||
Joel Hofer ![]() ![]() | G | 22 | 795,000$ | 795,000$ | RFA | ||||||
Joshua Roy ![]() | RW | 19 | 856,667$ | 856,667$ | 856,667$ | 856,667$ | RFA | ||||
Justin Kirkland ![]() | LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Luke Evangelista ![]() | RW | 21 | 820,000$ | 820,000$ | 820,000$ | RFA | |||||
Matt Luff ![]() ![]() | RW | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Maveric Lamoureux ![]() | D | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Max Ellis ![]() | RW | 23 | 838,750$ | 838,750$ | 838,750$ | RFA | |||||
Nathan Gaucher ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Patrick Guay ![]() | C/LW | 20 | 750,000$ | 750,000$ | RFA | ||||||
Philip Kemp ![]() | D | 24 | 786,667$ | 786,667$ | RFA | ||||||
Raphael Lavoie ![]() | RW | 22 | 870,000$ | 870,000$ | RFA | ||||||
Ridly Greig ![]() | C/LW | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Riley Damiani ![]() | C | 23 | 803,333$ | 803,333$ | RFA | ||||||
Samuel Walker ![]() ![]() | C/RW | 23 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Santtu Kinnunen ![]() | D | 23 | 855,000$ | 855,000$ | 855,000$ | ![]() | |||||
Shakir Mukhamadullin ![]() | D | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Will Zmolek ![]() | D | 23 | 920,000$ | 920,000$ | 920,000$ | ![]() | |||||
Xavier Simoneau ![]() | C/LW/RW | 21 | 750,000$ | 750,000$ | RFA | ||||||
Zach Dean ![]() | C | 20 | 883,333$ | 883,333$ | 883,333$ | 883,333$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 57 | 24 | 17 | 16 | 0 | 65 | 17 | 20 | 39 | 1 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 41 | 27 | 55 | 14 | 23 | 10 | 37.5% | 5.3% | 90.8% | 96.0 | Unlucky | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.333 | 8 | 15 | 23 | 1 | 0 | 2 | 3 | 3 | 0 | 79 | 27 | 21 | 31 | 0 | 77 | 27 | 24 | 55 | 6 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 68 | 46 | 72 | 23 | 39 | 19 | 61.5% | 10.1% | 89.6% | 99.7 | FUN | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 46 | 16 | 23 | 7 | 0 | 72 | 28 | 20 | 28 | 3 | 2 | 66.67% | 10 | 4 | 60.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 45 | 31 | 50 | 14 | 24 | 11 | 25.0% | 8.7% | 86.1% | 94.8 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 36 | 9 | 11 | 16 | 0 | 27 | 9 | 2 | 12 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 25 | 18 | 21 | 7 | 13 | 7 | 20.0% | 5.6% | 85.2% | 90.7 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 25 | 9 | 7 | 9 | 0 | 38 | 6 | 8 | 11 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 22 | 15 | 24 | 7 | 12 | 5 | 42.9% | 12.0% | 86.8% | 98.8 | FUN | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 43 | 15 | 14 | 14 | 0 | 65 | 20 | 27 | 33 | 5 | 1 | 20.00% | 11 | 1 | 90.91% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 44 | 29 | 51 | 14 | 23 | 11 | 28.6% | 7.0% | 90.8% | 97.7 | Unlucky | |
7 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 48 | 14 | 17 | 16 | 1 | 47 | 17 | 12 | 50 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 45 | 30 | 50 | 14 | 24 | 12 | 55.6% | 12.5% | 91.5% | 104.0 | LUCKY | |
8 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 8 | -5 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 57 | 18 | 17 | 20 | 2 | 43 | 19 | 9 | 35 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 48 | 33 | 48 | 15 | 25 | 11 | 27.3% | 5.3% | 81.4% | 86.7 | Unlucky | |
9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.333 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 72 | 21 | 19 | 32 | 0 | 112 | 30 | 34 | 65 | 15 | 1 | 6.67% | 16 | 3 | 81.25% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 62 | 40 | 79 | 23 | 37 | 16 | 42.9% | 5.6% | 93.8% | 99.3 | DULL | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 4 | 1 | 0 | 46 | 11 | 21 | 14 | 0 | 45 | 10 | 12 | 51 | 11 | 3 | 27.27% | 6 | 2 | 66.67% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 49 | 33 | 43 | 15 | 27 | 13 | 37.5% | 13.0% | 84.4% | 97.5 | FUN | |
11 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 1 | 1 | 1 | 60 | 21 | 23 | 15 | 1 | 61 | 28 | 17 | 52 | 9 | 1 | 11.11% | 6 | 3 | 50.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 48 | 33 | 45 | 15 | 26 | 13 | 55.6% | 10.0% | 88.5% | 98.5 | FUN | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 4 | 1 | 0 | 0 | 55 | 18 | 10 | 27 | 0 | 64 | 17 | 24 | 39 | 7 | 1 | 14.29% | 12 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 46 | 30 | 47 | 14 | 26 | 13 | 57.1% | 9.1% | 95.3% | 104.4 | LUCKY | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 0 | 0 | 3 | 0 | 57 | 13 | 14 | 30 | 0 | 61 | 21 | 14 | 33 | 8 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 44 | 29 | 49 | 16 | 25 | 12 | 50.0% | 5.3% | 95.1% | 100.3 | DULL | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 63 | 22 | 21 | 20 | 0 | 93 | 25 | 26 | 42 | 6 | 2 | 33.33% | 13 | 1 | 92.31% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 42 | 27 | 52 | 15 | 25 | 12 | 12.5% | 4.8% | 91.4% | 96.2 | DULL | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 1 | 0 | 61 | 17 | 21 | 23 | 0 | 61 | 15 | 6 | 31 | 9 | 2 | 22.22% | 2 | 1 | 50.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 48 | 33 | 46 | 13 | 25 | 12 | 44.4% | 9.8% | 90.2% | 100.0 | FUN | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 0 | 5 | 0 | 1 | 62 | 18 | 21 | 20 | 7 | 63 | 20 | 14 | 40 | 7 | 2 | 28.57% | 7 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 45 | 31 | 54 | 15 | 25 | 11 | 42.9% | 8.1% | 93.7% | 101.7 | DULL | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 52 | 14 | 12 | 26 | 0 | 61 | 20 | 14 | 34 | 5 | 2 | 40.00% | 7 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 45 | 31 | 48 | 14 | 25 | 12 | 25.0% | 7.7% | 90.2% | 97.9 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 53 | 19 | 21 | 13 | 0 | 69 | 24 | 12 | 47 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 39 | 25 | 54 | 15 | 25 | 12 | 40.0% | 7.5% | 88.4% | 96.0 | Unlucky | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 0 | 83 | 23 | 33 | 27 | 0 | 103 | 21 | 29 | 69 | 10 | 2 | 20.00% | 9 | 2 | 77.78% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 67 | 46 | 75 | 22 | 37 | 17 | 41.7% | 8.4% | 91.3% | 99.7 | DULL | |
20 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 7 | 10 | -3 | 3 | 0.375 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 101 | 33 | 36 | 30 | 5 | 114 | 35 | 25 | 82 | 15 | 1 | 6.67% | 10 | 1 | 90.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 94 | 64 | 96 | 29 | 53 | 27 | 40.0% | 6.9% | 91.2% | 98.2 | DULL | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 52 | 18 | 15 | 19 | 0 | 50 | 9 | 14 | 44 | 7 | 1 | 14.29% | 7 | 2 | 71.43% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 46 | 31 | 43 | 15 | 29 | 14 | 25.0% | 3.8% | 90.0% | 93.8 | Unlucky | |
22 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 14 | -8 | 2 | 0.250 | 6 | 10 | 16 | 1 | 1 | 3 | 1 | 2 | 0 | 103 | 40 | 32 | 31 | 0 | 139 | 27 | 40 | 99 | 13 | 2 | 15.38% | 19 | 4 | 78.95% | 1 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 87 | 57 | 100 | 31 | 51 | 23 | 28.6% | 5.8% | 89.9% | 95.8 | Unlucky | |
23 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 3 | 4 | 3 | 0 | 75 | 28 | 31 | 16 | 0 | 96 | 33 | 32 | 66 | 13 | 3 | 23.08% | 15 | 4 | 73.33% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 69 | 46 | 71 | 22 | 38 | 18 | 46.7% | 13.3% | 87.5% | 100.8 | FUN | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 3 | 2 | 4 | 0 | 51 | 12 | 16 | 22 | 4 | 56 | 19 | 22 | 40 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 44 | 29 | 55 | 15 | 25 | 11 | 50.0% | 17.6% | 83.9% | 101.6 | FUN | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 38 | 8 | 11 | 19 | 0 | 61 | 25 | 10 | 53 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 46 | 32 | 47 | 13 | 25 | 12 | 37.5% | 7.9% | 88.5% | 96.4 | Unlucky | |
26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 65 | 17 | 27 | 21 | 0 | 44 | 12 | 14 | 50 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 47 | 32 | 46 | 15 | 25 | 12 | 85.7% | 10.8% | 95.5% | 106.2 | LUCKY | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 4 | 2 | 0 | 0 | 47 | 22 | 18 | 7 | 0 | 75 | 37 | 12 | 30 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 41 | 28 | 53 | 14 | 24 | 11 | 33.3% | 12.8% | 85.3% | 98.1 | FUN | |
28 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 76 | 20 | 31 | 25 | 0 | 68 | 14 | 14 | 66 | 12 | 1 | 8.33% | 7 | 1 | 85.71% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 64 | 43 | 75 | 23 | 40 | 18 | 33.3% | 6.6% | 86.8% | 93.3 | Unlucky | |
29 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 2 | 1 | 58 | 16 | 21 | 16 | 5 | 47 | 19 | 12 | 34 | 9 | 4 | 44.44% | 6 | 1 | 83.33% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 53 | 37 | 45 | 15 | 25 | 13 | 28.6% | 10.3% | 87.2% | 97.6 | FUN | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 5 | 1 | 1 | 0 | 59 | 28 | 14 | 17 | 0 | 36 | 13 | 10 | 34 | 10 | 3 | 30.00% | 5 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 52 | 36 | 40 | 14 | 27 | 14 | 57.1% | 11.9% | 91.7% | 103.5 | LUCKY | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 49 | 19 | 14 | 16 | 0 | 68 | 25 | 17 | 46 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 44 | 30 | 51 | 15 | 23 | 11 | 25.0% | 6.1% | 91.2% | 97.3 | DULL | |
_Vs Division | 19 | 5 | 13 | 0 | 0 | 0 | 0 | 1 | 38 | 62 | -24 | 11 | 0.289 | 38 | 68 | 106 | 1 | 1 | 13 | 14 | 11 | 0 | 488 | 159 | 170 | 157 | 5 | 615 | 169 | 154 | 408 | 74 | 11 | 14.86% | 67 | 13 | 80.60% | 1 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 429 | 288 | 470 | 144 | 245 | 118 | 35.5% | 7.8% | 89.9% | 97.7 | Unlucky | |
_Vs Conference | 37 | 8 | 26 | 0 | 1 | 1 | 0 | 1 | 80 | 127 | -47 | 20 | 0.270 | 80 | 146 | 226 | 2 | 1 | 28 | 30 | 21 | 1 | 949 | 313 | 337 | 294 | 8 | 1135 | 344 | 305 | 754 | 127 | 19 | 14.96% | 132 | 30 | 77.27% | 1 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 841 | 569 | 910 | 280 | 475 | 228 | 38.6% | 8.4% | 88.8% | 97.2 | Unlucky | |
_Since Last GM Reset | 69 | 21 | 40 | 0 | 2 | 3 | 0 | 3 | 156 | 213 | -57 | 52 | 0.377 | 156 | 289 | 445 | 2 | 3 | 56 | 53 | 45 | 3 | 1829 | 590 | 609 | 615 | 25 | 2081 | 642 | 546 | 1410 | 229 | 40 | 17.47% | 245 | 42 | 82.86% | 1 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 1579 | 1068 | 1698 | 519 | 884 | 430 | 40.4% | 8.5% | 89.8% | 98.3 | Unlucky | |
Total | 69 | 21 | 40 | 0 | 2 | 3 | 0 | 3 | 156 | 213 | -57 | 52 | 0.377 | 156 | 289 | 445 | 2 | 3 | 56 | 53 | 45 | 3 | 1829 | 590 | 609 | 615 | 25 | 2081 | 642 | 546 | 1410 | 229 | 40 | 17.47% | 245 | 42 | 82.86% | 1 | 1067 | 2239 | 47.66% | 1124 | 2353 | 47.77% | 477 | 1030 | 46.31% | 1579 | 1068 | 1698 | 519 | 884 | 430 | 40.4% | 8.5% | 89.8% | 98.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2239 |
Neutral Zone Start | 1030 |
Defensive Zone Start | 2353 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2668 |
Faceoffs Lost | 2954 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.6 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 26.3 | 30.68 |
Overtime | 26.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 113 |
---|---|
PP Goal | 40 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 14 | 9 |
Lost | 18 | 22 |
Overtime Lost | 3 | 3 |
PP Attempt | 229 |
---|---|
PP Goal | 40 |
PK Attempt | 245 |
PK Goal Against | 42 |
Home | |
---|---|
Shots For | 26.5 |
Shots Against | 30.2 |
Goals For | 2.3 |
Goals Against | 3.1 |
Hits | 20.4 |
Shots Blocked | 9.3 |
Pim | 7.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-11 | @ | Lightning1,Rangers5 | RECAP | |||||||||||
2022-10-14 | @ | Lightning2,Blue Jackets4 | RECAP | |||||||||||
2022-10-15 | @ | Lightning5,Penguins4 | RECAP | |||||||||||
2022-10-18 | @ | Flyers1,Lightning4 | RECAP | |||||||||||
2022-10-21 | @ | Lightning1,Panthers3 | RECAP | |||||||||||
2022-10-22 | @ | Islanders5,Lightning3 | RECAP | |||||||||||
2022-10-25 | @ | Lightning0,Kings4 | RECAP | |||||||||||
2022-10-26 | @ | Lightning3,Ducks5 | RECAP | |||||||||||
2022-10-29 | @ | Lightning3,Sharks2 (OT) | RECAP | |||||||||||
2022-11-01 | @ | Senators4,Lightning2 | RECAP | |||||||||||
2022-11-03 | @ | Hurricanes2,Lightning1 | RECAP | |||||||||||
2022-11-05 | @ | Sabres2,Lightning3 | RECAP | |||||||||||
2022-11-08 | @ | Oilers2,Lightning4 | RECAP | |||||||||||
2022-11-11 | @ | Lightning2,Capitals4 | RECAP | |||||||||||
2022-11-13 | @ | Capitals3,Lightning4 (OT) | RECAP | |||||||||||
2022-11-15 | @ | Stars1,Lightning2 | RECAP | |||||||||||
2022-11-17 | @ | Flames1,Lightning2 | RECAP | |||||||||||
2022-11-19 | @ | Lightning2,Predators5 | RECAP | |||||||||||
2022-11-21 | @ | Bruins2,Lightning4 | RECAP | |||||||||||
2022-11-25 | @ | Blues3,Lightning2 | RECAP | |||||||||||
2022-11-28 | @ | Lightning3,Sabres4 (SO) | RECAP | |||||||||||
2022-11-29 | @ | Lightning2,Bruins4 | RECAP | |||||||||||
2022-12-01 | @ | Lightning2,Flyers3 | RECAP | |||||||||||
2022-12-03 | @ | Maple Leafs7,Lightning3 | RECAP | |||||||||||
2022-12-06 | @ | Red Wings3,Lightning0 | RECAP | |||||||||||
2022-12-08 | @ | Predators1,Lightning4 | RECAP | |||||||||||
2022-12-10 | @ | Panthers0,Lightning2 | RECAP | |||||||||||
2022-12-13 | @ | Kraken2,Lightning3 | RECAP | |||||||||||
2022-12-15 | @ | Blue Jackets4,Lightning2 | RECAP | |||||||||||
2022-12-17 | @ | Lightning4,Canadiens2 | RECAP | |||||||||||
2022-12-20 | @ | Lightning3,Maple Leafs4 | RECAP | |||||||||||
2022-12-21 | @ | Lightning2,Red Wings1 | RECAP | |||||||||||
2022-12-23 | @ | Lightning1,Sabres2 | RECAP | |||||||||||
2022-12-28 | @ | Canadiens5,Lightning2 | RECAP | |||||||||||
2022-12-29 | @ | Rangers3,Lightning2 (OT) | RECAP | |||||||||||
2022-12-31 | @ | Coyotes3,Lightning2 | RECAP | |||||||||||
2023-01-03 | @ | Lightning2,Blackhawks3 | RECAP | |||||||||||
2023-01-04 | @ | Lightning4,Wild3 | RECAP | |||||||||||
2023-01-06 | @ | Lightning3,Jets4 (SO) | RECAP | |||||||||||
2023-01-10 | @ | Blue Jackets4,Lightning6 | RECAP | |||||||||||
2023-01-12 | @ | Canucks3,Lightning1 | RECAP | |||||||||||
2023-01-14 | @ | Lightning2,Blues3 | RECAP | |||||||||||
2023-01-16 | @ | Lightning0,Kraken4 | RECAP | |||||||||||
2023-01-18 | @ | Lightning2,Canucks0 | RECAP | |||||||||||
2023-01-19 | @ | Lightning1,Oilers2 (SO) | RECAP | |||||||||||
2023-01-21 | @ | Lightning1,Flames5 | RECAP | |||||||||||
2023-01-24 | @ | Wild0,Lightning1 | RECAP | |||||||||||
2023-01-26 | @ | Bruins3,Lightning1 | RECAP | |||||||||||
2023-01-28 | @ | Kings4,Lightning3 | RECAP | |||||||||||
2023-02-06 | @ | Lightning2,Panthers6 | RECAP | |||||||||||
2023-02-07 | @ | Sharks4,Lightning3 (OT) | RECAP | |||||||||||
2023-02-09 | @ | Avalanche2,Lightning1 (OT) | RECAP | |||||||||||
2023-02-11 | @ | Lightning5,Stars1 | RECAP | |||||||||||
2023-02-14 | @ | Lightning5,Avalanche2 | RECAP | |||||||||||
2023-02-15 | @ | Lightning2,Coyotes5 | RECAP | |||||||||||
2023-02-18 | @ | Lightning4,Golden Knights1 | RECAP | |||||||||||
2023-02-21 | @ | Ducks2,Lightning0 | RECAP | |||||||||||
2023-02-23 | @ | Sabres2,Lightning0 | RECAP | |||||||||||
2023-02-25 | @ | Lightning2,Red Wings3 | RECAP | |||||||||||
2023-02-26 | @ | Lightning0,Penguins2 | RECAP | |||||||||||
2023-02-28 | @ | Panthers5,Lightning1 | RECAP | |||||||||||
2023-03-02 | @ | Penguins3,Lightning0 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-05 | @ | Lightning2,Hurricanes4 | RECAP | |||||||||||
2023-03-07 | @ | Flyers4,Lightning2 | RECAP | |||||||||||
2023-03-09 | @ | Golden Knights2,Lightning3 | RECAP | |||||||||||
2023-03-11 | @ | Blackhawks2,Lightning0 | RECAP | |||||||||||
2023-03-12 | @ | Jets5,Lightning6 | RECAP | |||||||||||
2023-03-14 | @ | Lightning2,Devils5 | RECAP | |||||||||||
2023-03-16 | @ | Lightning2,Devils5 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
58,050,833$ | 0$ | 64,966,187$ | 24,449,167$ |
Arena | Goal Horn | About us | |
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![]() | Name | Amalie Arena | |
City | Tampa Bay | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 194652 | 163219 | 65631 | 130854 | 32463 |
Attendance PCT | 92.69% | 93.27% | 93.76% | 93.47% | 92.75% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 16766 - 93.15% | 1,475,692$ | 51,649,218$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
58,050,833$ | 57,850,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
58,449,855$ | 288,095$ | 57,187,622$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,854,152$ | 27 | 312,438$ | 8,435,826$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
8,799,326$ | 58,050,833$ | 63,670,971$ | 63,725,797$ |
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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2023 | |||||||
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Priority | Type | Description |
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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") |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Alex Campbell | 2019 | 58 | 7.0 - 7.0 | ||
Artyom Duda | 2022 | 69 | |||
Cameron MacDonald | 2021 | 160 | |||
Dmitri Kostenko | 2021 | 96 | |||
Dylan Duke | 2021 | 32 | |||
Ethan Phillips | 2019 | 93 | |||
Henry Thrun | 2019 | 104 | |||
Hugo Havelid | 2022 | 181 | |||
Ilya Fedotov | 2021 | 74 | |||
Jacob Cederholm | |||||
Jake Furlong | 2022 | 117 | |||
Jeremy Michel | 2019 | 186 | |||
Josh Filmon | 2022 | 140 | |||
Julius Nattinen | 2015 | 59 | 5.5 - 2.5 | ||
Logan Cockerill | 5.5 - 4.5 | ||||
Logan Morrison | 2020 | 182 | |||
Mattias Havelid | 2022 | 46 | |||
Michael Fisher | 2022 | 85 | |||
Noah Beck | |||||
Patrick Moynihan | 2019 | 155 | 4.0 - 5.0 | ||
Petteri Nurmi | 2022 | 213 | |||
Reid Dyck | 2022 | 135 | |||
Rhett Pitlick | 2019 | 124 | |||
Robert Flinton | 2021 | 224 | |||
Rutger McGroarty | 2022 | 21 | |||
Seamus Casey | 2022 | 35 | |||
Servac Petrovsky | 2022 | 130 | |||
Simon Bourque | 4.0 - 4.5 | ||||
Slava Demin | 6.0 - 7.0 | ||||
Theo Jacobsson | 2021 | 192 | |||
Thimo Nickl | 2020 | 122 | |||
Tyson Galloway | 2021 | 161 | |||
Vladislav Lukashevich | 2021 | 123 | |||
Zakary Karpa | 2022 | 149 | |||
Zam Plante | 2022 | 128 |
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