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Full Scoreboard » |
Tampa Bay Lightning 32-33-2, 66pts · 11th in Eastern Conference |
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/RW | 99.00 | 64 | 42 | 93 | 70 | 93 | 87 | 90 | 72 | 84 | 74 | 68 | 64 | 71 | 80 | 74 | 50 | 75 | 0 | 32 | 7,142,857$/2yrs | |||
![]() | 89 | C/RW | 100.00 | 64 | 37 | 88 | 69 | 74 | 86 | 76 | 67 | 60 | 66 | 72 | 63 | 69 | 62 | 68 | 76 | 75 | 0 | 23 | 925,000$/2yrs | |||
![]() | 71 | C | 99.25 | 64 | 35 | 85 | 68 | 80 | 76 | 85 | 69 | 71 | 69 | 66 | 63 | 64 | 60 | 60 | 85 | 75 | 0 | 18 | 975,000$/3yrs | |||
![]() | 17 | C/LW/RW | 99.25 | 82 | 74 | 76 | 68 | 75 | 86 | 85 | 70 | 83 | 71 | 69 | 72 | 67 | 90 | 78 | 36 | 75 | 0 | 37 | 4,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 41 | 88 | 71 | 75 | 88 | 86 | 68 | 82 | 72 | 58 | 91 | 63 | 69 | 71 | 41 | 75 | 0 | 28 | 1,700,000$/1yrs | |||
![]() | 17 | C/RW | 100.00 | 77 | 55 | 81 | 72 | 94 | 87 | 89 | 71 | 79 | 69 | 73 | 83 | 68 | 79 | 74 | 51 | 75 | 0 | 32 | 2,100,000$/1yrs | |||
![]() | 86 | C/LW/RW | 99.00 | 57 | 34 | 95 | 76 | 71 | 89 | 87 | 74 | 60 | 75 | 73 | 78 | 74 | 77 | 73 | 66 | 75 | 0 | 30 | 5,400,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 68 | 35 | 93 | 75 | 76 | 87 | 89 | 74 | 56 | 75 | 73 | 76 | 72 | 83 | 77 | 39 | 75 | 0 | 33 | 5,000,000$/1yrs | |||
![]() | 82 | C/LW/RW | 100.00 | 64 | 35 | 85 | 68 | 80 | 76 | 85 | 69 | 71 | 69 | 66 | 63 | 64 | 60 | 60 | 85 | 75 | 0 | 19 | 950,000$/3yrs | |||
![]() | 87 | C/LW/RW | 99.00 | 58 | 36 | 95 | 75 | 80 | 86 | 89 | 76 | 73 | 72 | 74 | 81 | 71 | 67 | 70 | 53 | 75 | 0 | 26 | 3,100,000$/1yrs | |||
![]() | 21 | C/LW/RW | 100.00 | 73 | 60 | 75 | 76 | 73 | 87 | 90 | 74 | 64 | 72 | 76 | 82 | 71 | 77 | 78 | 39 | 75 | 0 | 33 | 6,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 38 | 78 | 76 | 75 | 86 | 84 | 68 | 56 | 73 | 61 | 88 | 65 | 69 | 71 | 50 | 75 | 0 | 28 | 2,950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 35 | 87 | 69 | 74 | 90 | 85 | 66 | 30 | 73 | 58 | 76 | 52 | 67 | 66 | 76 | 75 | 0 | 25 | 3,100,000$/1yrs | |||
![]() | 74 | D | 98.75 | 69 | 37 | 87 | 74 | 86 | 95 | 83 | 75 | 30 | 83 | 72 | 87 | 58 | 87 | 77 | 43 | 75 | 0 | 35 | 8,000,000$/2yrs | |||
![]() | 14 | D | 100.00 | 76 | 71 | 81 | 67 | 99 | 91 | 89 | 65 | 30 | 71 | 56 | 76 | 51 | 67 | 69 | 73 | 75 | 0 | 26 | 2,294,150$/1yrs | |||
![]() | 2 | D | 99.00 | 76 | 37 | 95 | 69 | 84 | 92 | 86 | 67 | 30 | 75 | 62 | 84 | 53 | 73 | 71 | 67 | 75 | 0 | 30 | 6,250,000$/2yrs | |||
![]() | 23 | D | 100.00 | 65 | 39 | 82 | 71 | 81 | 90 | 88 | 69 | 30 | 76 | 68 | 77 | 56 | 78 | 72 | 54 | 75 | 0 | 30 | 6,250,000$/7yrs | |||
![]() | 0 | D | 98.75 | 71 | 40 | 86 | 68 | 72 | 91 | 90 | 66 | 30 | 76 | 63 | 86 | 54 | 65 | 67 | 66 | 75 | 0 | 24 | 3,375,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 85 | 83 | 67 | 64 | 82 | 78 | 82 | 62 | 53 | 63 | 59 | 69 | 61 | 67 | 68 | 37 | 75 | 0 | 28 | 1,100,000$/1yrs | |||
![]() | 61 | LW | 100.00 | 66 | 35 | 85 | 67 | 80 | 76 | 85 | 67 | 58 | 67 | 66 | 60 | 64 | 60 | 60 | 85 | 75 | 0 | 21 | 950,000$/2yrs | |||
![]() | 92 | D | 100.00 | 68 | 40 | 74 | 67 | 80 | 83 | 74 | 66 | 30 | 68 | 60 | 62 | 53 | 63 | 64 | 87 | 75 | 0 | 22 | 863,333$/2yrs | |||
TEAM AVERAGE | 99.48 | 69 | 45 | 85 | 70 | 80 | 86 | 86 | 69 | 55 | 72 | 66 | 75 | 63 | 71 | 70 | 60 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 94 | 86 | 82 | 77 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 67 | 75 | 67 | 75 | 0 | 26 | 3,750,000$/2yrs |
![]() | 30 | 100.00 | 84 | 86 | 82 | 85 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 64 | 71 | 59 | 75 | 0 | 24 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 39 | 0.00 | 86 | 81 | 76 | 84 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 73 | 85 | 50 | 75 | 0 | 31 | 3,300,000$/2yrs |
TEAM AVERAGE | 66.33 | 88 | 84 | 80 | 82 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 68 | 77 | 59 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 88 | 85 | 94 | 80 | 85 | 79 | 62 | CAN | 57 | 1 | 5,000,000$ |
General Manager | Patrick Berniquez |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Yegor Sharangovich | 87 | C/LW/RW | 64 | 25 | 40 | 65 | 11 | 6 | 0 | 27 | 255 | 66 | 163 | 9.80% | 18 | 19.60 | 10 | 12 | 22 | 228 | 0 | 0 | 0 | 108 | 9 | 2 | 49.47% | 374 | 0 | 0 | 0 | 0 | 1.04 | 0 | 1 | ||
2 | John Carlson | 74 | D | 60 | 10 | 52 | 62 | -1 | 30 | 0 | 83 | 119 | 54 | 85 | 8.40% | 110 | 24.66 | 4 | 12 | 16 | 208 | 0 | 0 | 0 | 168 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | ||
3 | J.J. Moser | 0 | D | 67 | 11 | 40 | 51 | 14 | 40 | 0 | 116 | 104 | 33 | 86 | 10.58% | 96 | 21.96 | 3 | 10 | 13 | 227 | 0 | 0 | 0 | 171 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
4 | Teuvo Teravainen | 86 | C/LW/RW | 67 | 25 | 25 | 50 | -6 | 6 | 0 | 18 | 195 | 46 | 147 | 12.82% | 16 | 17.94 | 4 | 11 | 15 | 202 | 0 | 0 | 0 | 75 | 3 | 0 | 40.66% | 792 | 0 | 0 | 0 | 0 | 0.83 | 0 | 1 | ||
5 | Ryan Pulock | 2 | D | 59 | 15 | 25 | 40 | -9 | 34 | 0 | 96 | 87 | 20 | 52 | 17.24% | 86 | 22.80 | 7 | 4 | 11 | 169 | 0 | 0 | 0 | 142 | 2 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
6 | Damon Severson | 23 | D | 67 | 10 | 28 | 38 | -20 | 28 | 0 | 48 | 106 | 29 | 60 | 9.43% | 77 | 21.43 | 7 | 6 | 13 | 209 | 0 | 1 | 1 | 178 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
7 | Mathieu Joseph | 0 | LW/RW | 68 | 11 | 23 | 34 | 2 | 26 | 0 | 89 | 135 | 35 | 97 | 8.15% | 20 | 14.03 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 66 | 2 | 1 | 27.84% | 97 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
8 | Kevin Hayes | 0 | C/RW | 68 | 12 | 21 | 33 | 0 | 4 | 0 | 28 | 163 | 36 | 111 | 7.36% | 5 | 16.60 | 2 | 6 | 8 | 191 | 0 | 0 | 0 | 36 | 2 | 2 | 56.43% | 925 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | ||
9 | Reilly Smith | 0 | LW/RW | 64 | 14 | 16 | 30 | 1 | 24 | 0 | 59 | 141 | 29 | 96 | 9.93% | 9 | 12.19 | 2 | 2 | 4 | 63 | 0 | 0 | 0 | 0 | 0 | 0 | 59.09% | 44 | 0 | 0 | 0 | 0 | 0.77 | 0 | 1 | ||
10 | Nicolas Hague | 14 | D | 67 | 5 | 24 | 29 | -11 | 80 | 10 | 136 | 52 | 21 | 42 | 9.62% | 92 | 19.49 | 2 | 2 | 4 | 160 | 0 | 0 | 0 | 154 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
11 | Blake Coleman | 21 | C/LW/RW | 68 | 16 | 13 | 29 | -6 | 16 | 0 | 91 | 165 | 40 | 104 | 9.70% | 7 | 15.79 | 0 | 0 | 0 | 6 | 1 | 1 | 2 | 228 | 0 | 1 | 41.63% | 257 | 0 | 0 | 0 | 0 | 0.54 | 0 | 1 | ||
12 | Jake Evans | 0 | C/RW | 67 | 10 | 17 | 27 | -6 | 6 | 0 | 34 | 129 | 40 | 92 | 7.75% | 19 | 15.17 | 2 | 6 | 8 | 120 | 0 | 1 | 1 | 235 | 1 | 0 | 53.70% | 622 | 0 | 0 | 1 | 0 | 0.53 | 0 | 0 | ||
13 | Macklin Celebrini | 71 | C | 67 | 9 | 17 | 26 | -10 | 12 | 0 | 62 | 88 | 38 | 88 | 10.23% | 3 | 14.25 | 0 | 5 | 5 | 90 | 0 | 0 | 0 | 25 | 0 | 0 | 47.55% | 1100 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
14 | Nick Foligno | 17 | C/LW/RW | 67 | 9 | 16 | 25 | -8 | 86 | 0 | 178 | 140 | 47 | 87 | 6.43% | 7 | 16.02 | 2 | 3 | 5 | 140 | 0 | 0 | 0 | 55 | 2 | 0 | 57.14% | 133 | 0 | 0 | 0 | 0 | 0.47 | 1 | 1 | ||
15 | Henri Jokiharju | 0 | D | 62 | 6 | 18 | 24 | 1 | 22 | 0 | 70 | 57 | 18 | 45 | 10.53% | 70 | 16.30 | 2 | 2 | 4 | 128 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
16 | Will Smith | 82 | C/LW/RW | 67 | 7 | 16 | 23 | -13 | 10 | 0 | 27 | 116 | 19 | 82 | 6.03% | 3 | 14.56 | 1 | 6 | 7 | 162 | 0 | 0 | 0 | 8 | 0 | 0 | 47.75% | 467 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
17 | Brandt Clarke | 92 | D | 61 | 3 | 16 | 19 | -13 | 42 | 0 | 67 | 36 | 10 | 23 | 8.33% | 33 | 16.18 | 1 | 1 | 2 | 58 | 0 | 0 | 0 | 64 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
18 | Josh Doan | 89 | C/RW | 65 | 10 | 7 | 17 | -25 | 12 | 0 | 40 | 71 | 19 | 54 | 14.08% | 6 | 13.31 | 0 | 2 | 2 | 61 | 0 | 0 | 0 | 12 | 1 | 0 | 37.50% | 56 | 0 | 0 | 0 | 0 | 0.39 | 1 | 1 | ||
19 | Cutter Gauthier | 61 | LW | 63 | 4 | 10 | 14 | -23 | 20 | 0 | 53 | 68 | 32 | 69 | 5.88% | 9 | 12.82 | 0 | 1 | 1 | 26 | 0 | 0 | 0 | 20 | 0 | 0 | 41.18% | 68 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
20 | Nick Bjugstad | 17 | C/RW | 54 | 5 | 3 | 8 | -9 | 30 | 0 | 49 | 68 | 27 | 51 | 7.35% | 6 | 10.22 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 100 | 1 | 0 | 57.55% | 139 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
21 | Mathieu Olivier | 0 | RW | 36 | 0 | 3 | 3 | -16 | 22 | 0 | 43 | 31 | 10 | 28 | 0.00% | 1 | 7.69 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 47.37% | 19 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
Team Total or Average | 1328 | 217 | 430 | 647 | -147 | 556 | 10 | 1414 | 2326 | 669 | 1662 | 9.33% | 693 | 16.53 | 49 | 91 | 140 | 2493 | 1 | 3 | 4 | 1887 | 29 | 10 | 48.75% | 5093 | 0 | 0 | 1 | 0 | 0.59 | 2 | 7 |
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 | Filip Gustavsson | Lightning | 59 | 24 | 28 | 6 | 0.900 | 3.19 | 3445 | 2 | 2 | 183 | 1832 | 0 | 2 | 3 | 0.750 | 8 | 58 | 9 | 3 | 1 | 4 |
2 | Joel Hofer | Lightning | 42 | 16 | 21 | 1 | 0.891 | 3.63 | 2334 | 0 | 0 | 141 | 1299 | 0 | 2 | 0 | 0.778 | 9 | 39 | 28 | 3 | 1 | 0 |
Team Total or Average | 101 | 40 | 49 | 7 | 0.897 | 3.36 | 5779 | 2 | 2 | 324 | 3131 | 0 | 4 | 3 | 0.765 | 17 | 97 | 37 | 6 | 2 | 4 |
Projected Total Cap Hit | 74,865,243$ |
Projected Cap Space | 13,134,757$ |
Retains And Buyout Cap Hit | 7,150,000$ |
Salary Cap To Date | 55,425,913$ |
Players In Salary Cap | 27 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Blake Coleman | C/LW/RW | 33 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Brandt Clarke ![]() | D | 22 | 863,333$ | 863,333$ | 863,333$ | ||||||
Cutter Gauthier ![]() | LW | 21 | 950,000$ | 950,000$ | 950,000$ | ||||||
Damon Severson ![]() | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA |
Filip Gustavsson | C/RW/G | 26 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Henri Jokiharju | D | 25 | 3,100,000$ | 3,100,000$ | RFA | ||||||
J.J. Moser | D | 24 | 3,375,000$ | 3,375,000$ | 3,375,000$ | RFA | |||||
Jake Evans | C/RW | 28 | 1,700,000$ | 1,700,000$ | RFA | ||||||
Joel Hofer | C/RW/G | 24 | 775,000$ | 775,000$ | RFA | ||||||
John Carlson | D | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Josh Doan ![]() | C/RW | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Kevin Hayes | C/RW/G | 32 | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | |||||
Laurent Brossoit ![]() | C/LW/RW/G | 31 | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | |||||
Macklin Celebrini ![]() | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Mathieu Joseph | LW/RW | 28 | 2,950,000$ | 2,950,000$ | 2,950,000$ | RFA | |||||
Mathieu Olivier | RW/G | 28 | 1,100,000$ | 1,100,000$ | RFA | ||||||
Nick Bjugstad | C/RW | 32 | 2,100,000$ | 2,100,000$ | |||||||
Nick Foligno | C/LW/RW | 37 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Nicolas Hague | D | 26 | 2,294,150$ | 2,294,150$ | RFA | ||||||
Reilly Smith ![]() | LW/RW | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Ryan Pulock | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||||
Teuvo Teravainen ![]() | C/LW/RW | 30 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | |||||
Will Smith ![]() | C/LW/RW | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Yegor Sharangovich | C/LW/RW | 26 | 3,100,000$ | 3,100,000$ | 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 |
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1 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 8 | 1.000 | 14 | 27 | 41 | 0 | 0 | 7 | 3 | 4 | 0 | 124 | 43 | 43 | 38 | 0 | 129 | 34 | 47 | 61 | 19 | 7 | 36.84% | 21 | 2 | 90.48% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 95 | 63 | 93 | 31 | 51 | 25 | 50.0% | 11.3% | 93.0% | 104.3 | LUCKY | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 4 | 3 | 0 | 0 | 56 | 18 | 16 | 22 | 0 | 65 | 40 | 26 | 31 | 10 | 2 | 20.00% | 11 | 2 | 81.82% | 1 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 46 | 31 | 49 | 14 | 24 | 11 | 62.5% | 12.5% | 92.3% | 104.8 | LUCKY | |
3 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 83 | 30 | 22 | 31 | 0 | 79 | 15 | 22 | 67 | 13 | 1 | 7.69% | 10 | 1 | 90.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 69 | 46 | 73 | 23 | 37 | 19 | 28.6% | 6.0% | 86.1% | 92.1 | Unlucky | |
4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 4 | 0 | 3 | 1 | 59 | 20 | 8 | 28 | 3 | 79 | 22 | 16 | 38 | 6 | 2 | 33.33% | 8 | 4 | 50.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 43 | 29 | 52 | 16 | 27 | 12 | 60.0% | 13.6% | 89.9% | 103.4 | FUN | |
5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 5 | 3 | 1 | 0 | 92 | 23 | 29 | 40 | 0 | 78 | 31 | 26 | 61 | 12 | 3 | 25.00% | 13 | 3 | 76.92% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 74 | 50 | 67 | 21 | 38 | 20 | 66.7% | 9.8% | 92.3% | 102.1 | LUCKY | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 4 | 1 | 1 | 0 | 60 | 27 | 19 | 14 | 0 | 45 | 9 | 10 | 40 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 48 | 34 | 45 | 15 | 25 | 13 | 36.4% | 10.0% | 82.2% | 92.2 | FUN | |
7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 4 | 0 | 3 | 1 | 71 | 21 | 28 | 21 | 1 | 70 | 16 | 14 | 44 | 12 | 3 | 25.00% | 6 | 1 | 83.33% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 46 | 31 | 48 | 14 | 25 | 13 | 31.3% | 11.3% | 82.9% | 94.1 | FUN | |
8 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 1 | 1 | 65 | 18 | 22 | 22 | 3 | 60 | 19 | 10 | 40 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 44 | 29 | 51 | 16 | 28 | 13 | 53.8% | 10.8% | 88.3% | 99.1 | FUN | |
9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 4 | 0 | 94 | 49 | 21 | 24 | 0 | 91 | 23 | 16 | 50 | 15 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 74 | 51 | 68 | 21 | 37 | 19 | 53.8% | 7.4% | 89.0% | 96.5 | Unlucky | |
10 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 3 | 1 | 61 | 21 | 17 | 21 | 2 | 60 | 17 | 12 | 38 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 52 | 36 | 42 | 14 | 26 | 12 | 33.3% | 8.2% | 86.7% | 94.9 | Unlucky | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 2 | 1 | 1 | 3 | 44 | 19 | 16 | 9 | 6 | 77 | 25 | 12 | 38 | 9 | 1 | 11.11% | 6 | 3 | 50.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 45 | 30 | 53 | 15 | 25 | 12 | 57.1% | 11.4% | 92.2% | 103.6 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 39 | 13 | 15 | 11 | 0 | 28 | 11 | 4 | 22 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 24 | 18 | 23 | 7 | 11 | 5 | 42.9% | 10.3% | 82.1% | 92.4 | FUN | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 14 | 11 | 8 | 0 | 27 | 7 | 4 | 13 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 25 | 18 | 22 | 7 | 11 | 6 | 50.0% | 9.1% | 92.6% | 101.7 | LUCKY | |
14 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 2 | 3 | 2 | 57 | 19 | 16 | 16 | 6 | 67 | 18 | 36 | 46 | 8 | 1 | 12.50% | 16 | 2 | 87.50% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 42 | 26 | 56 | 16 | 26 | 12 | 66.7% | 12.3% | 92.5% | 104.8 | LUCKY | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 2 | 0.333 | 10 | 20 | 30 | 0 | 0 | 5 | 4 | 1 | 0 | 90 | 34 | 31 | 25 | 0 | 101 | 19 | 26 | 60 | 13 | 3 | 23.08% | 11 | 2 | 81.82% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 71 | 48 | 68 | 21 | 39 | 20 | 30.4% | 11.1% | 82.2% | 93.3 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 1 | 4 | 0 | 41 | 13 | 13 | 15 | 0 | 79 | 21 | 18 | 40 | 6 | 3 | 50.00% | 8 | 1 | 87.50% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 41 | 27 | 52 | 14 | 25 | 11 | 50.0% | 22.0% | 91.1% | 113.1 | Unlucky | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 16 | -2 | 2 | 0.333 | 14 | 28 | 42 | 0 | 0 | 5 | 6 | 3 | 0 | 101 | 34 | 28 | 39 | 0 | 74 | 22 | 20 | 89 | 13 | 3 | 23.08% | 8 | 2 | 75.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 70 | 48 | 69 | 21 | 39 | 21 | 44.0% | 13.9% | 78.4% | 92.2 | FUN | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 72 | 35 | 19 | 18 | 0 | 72 | 16 | 14 | 45 | 14 | 2 | 14.29% | 6 | 2 | 66.67% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 51 | 36 | 42 | 14 | 26 | 13 | 30.0% | 6.9% | 87.5% | 94.4 | Unlucky | |
19 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 4 | 3 | 3 | 1 | 92 | 30 | 25 | 36 | 1 | 74 | 34 | 24 | 44 | 15 | 2 | 13.33% | 12 | 0 | 100.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 70 | 48 | 73 | 23 | 37 | 18 | 60.0% | 12.0% | 91.9% | 103.8 | LUCKY | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 4 | 3 | 2 | 0 | 64 | 20 | 17 | 27 | 0 | 50 | 13 | 14 | 40 | 10 | 4 | 40.00% | 7 | 2 | 71.43% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 42 | 28 | 50 | 16 | 26 | 13 | 55.6% | 14.1% | 88.0% | 102.1 | FUN | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 30 | 11 | 12 | 7 | 0 | 39 | 12 | 12 | 17 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 21 | 14 | 25 | 8 | 12 | 5 | 40.0% | 6.7% | 92.3% | 99.0 | DULL | |
22 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 4 | 1 | 1 | 1 | 85 | 46 | 15 | 23 | 3 | 102 | 32 | 31 | 50 | 9 | 1 | 11.11% | 12 | 1 | 91.67% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 67 | 46 | 80 | 23 | 36 | 17 | 46.2% | 8.2% | 92.2% | 100.4 | DULL | |
23 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 5 | 3 | 1 | 0 | 84 | 29 | 29 | 26 | 0 | 100 | 29 | 18 | 51 | 16 | 4 | 25.00% | 9 | 1 | 88.89% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 70 | 46 | 70 | 23 | 39 | 19 | 33.3% | 10.7% | 89.0% | 99.7 | FUN | |
24 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 16 | 24 | 0 | 0 | 3 | 2 | 3 | 0 | 80 | 32 | 21 | 27 | 0 | 106 | 37 | 28 | 63 | 5 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 66 | 45 | 75 | 23 | 37 | 17 | 47.1% | 10.0% | 89.6% | 99.6 | FUN | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 65 | 16 | 25 | 24 | 0 | 61 | 21 | 18 | 41 | 5 | 1 | 20.00% | 9 | 4 | 55.56% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 48 | 32 | 45 | 14 | 25 | 12 | 20.0% | 4.6% | 80.3% | 84.9 | Unlucky | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 30 | 9 | 10 | 11 | 0 | 27 | 8 | 2 | 21 | 5 | 1 | 20.00% | 0 | 0 | 0.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 24 | 17 | 21 | 7 | 13 | 6 | 60.0% | 13.3% | 92.6% | 105.9 | LUCKY | |
27 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 5 | 1 | 1 | 0 | 86 | 38 | 22 | 26 | 0 | 96 | 17 | 22 | 53 | 8 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 70 | 48 | 71 | 22 | 38 | 18 | 50.0% | 8.1% | 90.6% | 98.8 | Unlucky | |
28 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 3 | 1 | 49 | 18 | 10 | 20 | 1 | 71 | 24 | 16 | 29 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 42 | 28 | 52 | 15 | 25 | 12 | 50.0% | 14.3% | 90.1% | 104.4 | FUN | |
29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 11 | 9 | 9 | 0 | 22 | 7 | 4 | 15 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 22 | 15 | 23 | 8 | 13 | 6 | 25.0% | 6.9% | 86.4% | 93.3 | Unlucky | |
30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 0 | 63 | 17 | 18 | 28 | 0 | 84 | 23 | 16 | 35 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 45 | 31 | 48 | 13 | 25 | 13 | 38.5% | 9.5% | 89.3% | 98.8 | FUN | |
_Vs Division | 20 | 9 | 9 | 0 | 1 | 1 | 0 | 0 | 57 | 59 | -2 | 21 | 0.525 | 57 | 108 | 165 | 0 | 0 | 26 | 15 | 15 | 1 | 582 | 216 | 173 | 192 | 1 | 611 | 173 | 165 | 352 | 80 | 15 | 18.75% | 76 | 8 | 89.47% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 468 | 317 | 480 | 156 | 253 | 123 | 45.2% | 9.8% | 90.3% | 100.1 | FUN | |
_Vs Conference | 39 | 16 | 19 | 0 | 2 | 1 | 1 | 0 | 118 | 134 | -16 | 39 | 0.500 | 118 | 219 | 337 | 0 | 0 | 53 | 33 | 29 | 3 | 1175 | 443 | 347 | 382 | 5 | 1193 | 336 | 312 | 744 | 161 | 29 | 18.01% | 140 | 21 | 85.00% | 0 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 919 | 626 | 931 | 296 | 497 | 248 | 44.1% | 10.0% | 88.8% | 98.8 | FUN | |
_Since Last GM Reset | 67 | 22 | 33 | 0 | 8 | 2 | 2 | 0 | 208 | 239 | -31 | 66 | 0.493 | 208 | 380 | 588 | 0 | 0 | 83 | 57 | 58 | 12 | 1999 | 728 | 587 | 666 | 26 | 2113 | 622 | 538 | 1282 | 265 | 52 | 19.62% | 242 | 46 | 80.99% | 1 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 1562 | 1063 | 1622 | 508 | 863 | 425 | 44.7% | 10.4% | 88.7% | 99.1 | FUN | |
Total | 67 | 22 | 33 | 0 | 8 | 2 | 2 | 0 | 208 | 239 | -31 | 66 | 0.493 | 208 | 380 | 588 | 0 | 0 | 83 | 57 | 58 | 12 | 1999 | 728 | 587 | 666 | 26 | 2113 | 622 | 538 | 1282 | 265 | 52 | 19.62% | 242 | 46 | 80.99% | 1 | 1138 | 2372 | 47.98% | 1226 | 2384 | 51.43% | 518 | 1099 | 47.13% | 1562 | 1063 | 1622 | 508 | 863 | 425 | 44.7% | 10.4% | 88.7% | 99.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2372 |
Neutral Zone Start | 1099 |
Defensive Zone Start | 2384 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2882 |
Faceoffs Lost | 2973 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 19.6 | 20.31 |
3rd Period | 29.6 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 155 |
---|---|
PP Goal | 52 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 17 | 15 |
Lost | 15 | 18 |
Overtime Lost | 2 | 0 |
PP Attempt | 265 |
---|---|
PP Goal | 52 |
PK Attempt | 242 |
PK Goal Against | 46 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 31.5 |
Goals For | 3.1 |
Goals Against | 3.6 |
Hits | 19.1 |
Shots Blocked | 9.3 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Lightning4,Hurricanes2 | RECAP | |||||||||||
2024-10-12 | @ | Hurricanes8,Lightning6 | RECAP | |||||||||||
2024-10-15 | @ | Canucks6,Lightning7 (OT) | RECAP | |||||||||||
2024-10-17 | @ | Golden Knights3,Lightning2 | RECAP | |||||||||||
2024-10-19 | @ | Lightning4,Senators2 | RECAP | |||||||||||
2024-10-21 | @ | Lightning2,Maple Leafs5 | RECAP | |||||||||||
2024-10-22 | @ | Lightning4,Devils8 | RECAP | |||||||||||
2024-10-24 | @ | Wild7,Lightning0 | RECAP | |||||||||||
2024-10-26 | @ | Capitals1,Lightning2 | RECAP | |||||||||||
2024-10-28 | @ | Predators7,Lightning2 | RECAP | |||||||||||
2024-10-30 | @ | Lightning3,Avalanche2 | RECAP | |||||||||||
2024-11-01 | @ | Lightning3,Wild5 | RECAP | |||||||||||
2024-11-03 | @ | Lightning1,Jets3 | RECAP | |||||||||||
2024-11-05 | @ | Lightning4,Blues5 | RECAP | |||||||||||
2024-11-07 | @ | Flyers2,Lightning4 | RECAP | |||||||||||
2024-11-14 | @ | Jets3,Lightning4 (SO) | RECAP | |||||||||||
2024-11-16 | @ | Devils4,Lightning6 | RECAP | |||||||||||
2024-11-19 | @ | Lightning1,Penguins6 | RECAP | |||||||||||
2024-11-21 | @ | Lightning2,Blue Jackets5 | RECAP | |||||||||||
2024-11-23 | @ | Stars5,Lightning4 | RECAP | |||||||||||
2024-11-25 | @ | Avalanche3,Lightning4 | RECAP | |||||||||||
2024-11-27 | @ | Capitals4,Lightning3 | RECAP | |||||||||||
2024-11-29 | @ | Lightning4,Predators1 | RECAP | |||||||||||
2024-11-30 | @ | Maple Leafs4,Lightning2 | RECAP | |||||||||||
2024-12-05 | @ | Sharks5,Lightning4 (OT) | RECAP | |||||||||||
2024-12-08 | @ | Lightning1,Canucks2 | RECAP | |||||||||||
2024-12-10 | @ | Lightning6,Oilers2 | RECAP | |||||||||||
2024-12-12 | @ | Lightning3,Flames2 (OT) | RECAP | |||||||||||
2024-12-14 | @ | Lightning4,Kraken5 | RECAP | |||||||||||
2024-12-17 | @ | Blue Jackets1,Lightning2 (SO) | RECAP | |||||||||||
2024-12-19 | @ | Blues2,Lightning3 (OT) | RECAP | |||||||||||
2024-12-22 | @ | Panthers3,Lightning2 | RECAP | |||||||||||
2024-12-23 | @ | Lightning6,Panthers3 | RECAP | |||||||||||
2024-12-28 | @ | Rangers2,Lightning4 | RECAP | |||||||||||
2024-12-29 | @ | Canadiens1,Lightning6 | RECAP | |||||||||||
2025-01-02 | @ | Lightning3,Sharks2 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Lightning1,Kings4 | RECAP | |||||||||||
2025-01-05 | @ | Lightning5,Ducks4 (OT) | RECAP | |||||||||||
2025-01-09 | @ | Bruins3,Lightning4 | RECAP | |||||||||||
2025-01-11 | @ | Lightning0,Devils6 | RECAP | |||||||||||
2025-01-12 | @ | Lightning7,Penguins6 (OT) | RECAP | |||||||||||
2025-01-14 | @ | Lightning3,Bruins2 | RECAP | |||||||||||
2025-01-16 | @ | Ducks4,Lightning0 | RECAP | |||||||||||
2025-01-18 | @ | Red Wings4,Lightning3 (OT) | RECAP | |||||||||||
2025-01-20 | @ | Lightning1,Maple Leafs2 | RECAP | |||||||||||
2025-01-21 | @ | Lightning1,Canadiens2 | RECAP | |||||||||||
2025-01-24 | @ | Lightning6,Blackhawks5 | RECAP | |||||||||||
2025-01-25 | @ | Lightning4,Red Wings2 | RECAP | |||||||||||
2025-01-28 | @ | Blackhawks2,Lightning3 | RECAP | |||||||||||
2025-01-30 | @ | Kings5,Lightning4 | RECAP | |||||||||||
2025-02-01 | @ | Islanders3,Lightning2 | RECAP | |||||||||||
2025-02-04 | @ | Senators3,Lightning1 | RECAP | |||||||||||
2025-02-06 | @ | Senators6,Lightning3 | RECAP | |||||||||||
2025-02-08 | @ | Lightning0,Red Wings3 | RECAP | |||||||||||
2025-02-09 | @ | Lightning4,Canadiens3 (OT) | RECAP | |||||||||||
2025-02-23 | @ | Kraken4,Lightning2 | RECAP | |||||||||||
2025-02-25 | @ | Oilers4,Lightning3 | RECAP | |||||||||||
2025-02-27 | @ | Flames3,Lightning4 (OT) | RECAP | |||||||||||
2025-03-01 | @ | Lightning2,Capitals5 | RECAP | |||||||||||
2025-03-03 | @ | Lightning1,Panthers5 | RECAP | |||||||||||
2025-03-04 | @ | Blue Jackets2,Lightning3 | RECAP | |||||||||||
2025-03-06 | @ | Sabres2,Lightning3 | RECAP | |||||||||||
2025-03-08 | @ | Bruins2,Lightning3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | Lightning4,Hurricanes6 | RECAP | |||||||||||
2025-03-13 | @ | Lightning1,Flyers3 | RECAP | |||||||||||
2025-03-15 | @ | Lightning4,Bruins2 | RECAP | |||||||||||
2025-03-17 | @ | Flyers1,Lightning4 | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-09 | @ | |||||||||||||
2025-04-11 | @ | |||||||||||||
2025-04-13 | @ | |||||||||||||
2025-04-15 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,850,340$ | 7,150,000$ | 74,865,243$ | 13,134,757$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Amalie Arena | |
City | Tampa Bay | ||
Capacity | 19500 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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![]() |
Arena Capacity | 6250 | 5250 | 3000 | 4000 | 1000 |
Ticket Price | 110$ | 100$ | 65$ | 52$ | 180$ |
Attendance | 185530 | 158214 | 76999 | 94232 | 33845 |
Attendance PCT | 87.31% | 88.64% | 75.49% | 69.29% | 99.54% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 16142 - 82.78% | 1,920,103$ | 65,283,498$ | 19500 | 95 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,850,340$ | 77,700,344$ | 0$ | 7,150,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
61,597,376$ | 396,430$ | 55,425,913$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,440,720$ | 31 | 438,012$ | 13,578,372$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,977,582$ | 74,865,243$ | 126,454,781$ | 126,576,323$ |
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 |
---|---|---|---|---|---|
Alexander Suzdalev | 2022 | 103 | ELC 2023-24 (slide) | Link | |
Aron Kiviharju | 2024 | 45 | |||
Beckett Sennecke | 2024 | 10 | ELC 2024-25 | Link | |
Cole Hutson | 2024 | 25 | |||
EJ Emery | 2024 | 24 | |||
Etienne Morin | 2023 | 32 | ELC 2024-25 | Link | |
John Mustard | 2024 | 52 | |||
Justin Poirier | 2024 | 38 | |||
Marcus Gidlof | 2024 | 49 | |||
Maxim Masse | 2024 | 41 | |||
Michael Hrabal | 2023 | 33 | |||
Noah Laba | 2023 | 215 | |||
Quentin Musty | 2023 | 24 | ELC 2024-25 | Link | |
Tom Willander | 2023 | 19 |
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