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Full Scoreboard ยป |
Tampa Bay Lightning 44-30-6, 94pts · 5th in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 50 | 12 | 85 | 81 | 74 | 99 | 95 | 88 | 97 | 88 | 89 | 60 | 90 | 81 | 88 | 84 | 83 | 78 | 32 | 10,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 48 | 13 | 81 | 91 | 70 | 94 | 99 | 87 | 69 | 90 | 76 | 48 | 48 | 61 | 61 | 73 | 83 | 74 | 23 | 4,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 52 | 15 | 81 | 93 | 71 | 90 | 91 | 75 | 61 | 77 | 88 | 59 | 75 | 69 | 70 | 75 | 83 | 74 | 26 | 4,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 11 | 91 | 84 | 67 | 97 | 99 | 80 | 35 | 84 | 94 | 41 | 75 | 62 | 63 | 82 | 83 | 73 | 25 | 6,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 80 | 34 | 75 | 81 | 83 | 92 | 91 | 70 | 34 | 70 | 85 | 68 | 25 | 65 | 66 | 76 | 83 | 72 | 26 | 2,800,000$/4yrs | |||
![]() | 0 | C | 100.00 | 58 | 24 | 86 | 81 | 77 | 89 | 98 | 72 | 86 | 73 | 70 | 72 | 61 | 75 | 79 | 75 | 83 | 72 | 31 | 3,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 13 | 82 | 86 | 61 | 93 | 97 | 79 | 48 | 80 | 81 | 41 | 41 | 64 | 66 | 79 | 83 | 71 | 29 | 5,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 22 | 93 | 84 | 81 | 88 | 84 | 72 | 83 | 64 | 71 | 73 | 75 | 60 | 61 | 74 | 77 | 70 | 23 | 2,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 51 | 9 | 98 | 90 | 65 | 81 | 80 | 78 | 54 | 84 | 70 | 47 | 25 | 61 | 62 | 73 | 79 | 69 | 22 | 2,125,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 9 | 99 | 82 | 70 | 81 | 86 | 63 | 48 | 75 | 57 | 78 | 25 | 69 | 71 | 68 | 83 | 68 | 27 | 1,250,000$/4yrs | |||
![]() | 0 | C | 100.00 | 41 | 11 | 92 | 74 | 71 | 83 | 94 | 60 | 83 | 62 | 72 | 70 | 52 | 82 | 90 | 74 | 67 | 68 | 36 | 3,000,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 65 | 14 | 91 | 72 | 66 | 74 | 77 | 57 | 34 | 63 | 62 | 66 | 61 | 77 | 83 | 69 | 56 | 64 | 35 | 750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 17 | 77 | 90 | 77 | 99 | 96 | 79 | 25 | 67 | 54 | 92 | 41 | 69 | 70 | 68 | 83 | 77 | 26 | 4,166,666$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 17 | 85 | 80 | 86 | 99 | 61 | 77 | 25 | 64 | 62 | 86 | 25 | 83 | 86 | 75 | 69 | 76 | 35 | 7,857,143$/3yrs | |||
![]() | 0 | D | 100.00 | 73 | 38 | 77 | 87 | 69 | 99 | 74 | 84 | 25 | 68 | 77 | 82 | 25 | 66 | 68 | 76 | 83 | 75 | 26 | 6,000,000$/3yrs | |||
![]() | 7 | D | 99.00 | 64 | 25 | 84 | 77 | 82 | 93 | 97 | 68 | 25 | 62 | 46 | 81 | 75 | 88 | 94 | 67 | 83 | 74 | 35 | 2,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 14 | 95 | 77 | 74 | 98 | 86 | 67 | 25 | 58 | 49 | 87 | 25 | 71 | 75 | 67 | 83 | 73 | 33 | 4,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 46 | 12 | 95 | 81 | 74 | 97 | 94 | 61 | 25 | 65 | 48 | 83 | 48 | 82 | 88 | 67 | 83 | 73 | 33 | 2,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 62 | 37 | 57 | 69 | 73 | 61 | 76 | 51 | 25 | 49 | 44 | 74 | 46 | 52 | 52 | 78 | 54 | 61 | 24 | 685,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 59 | 18 | 85 | 82 | 73 | 90 | 88 | 72 | 48 | 71 | 68 | 69 | 49 | 70 | 73 | 74 | 78 | 72 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 78 | 87 | 99 | 89 | 84 | 81 | 69 | 79 | 77 | 86 | 89 | 75 | 78 | 85 | 83 | 79 | 37 | 5,000,000$/1yrs |
![]() | 0 | 100.00 | 72 | 81 | 94 | 82 | 79 | 78 | 79 | 80 | 78 | 76 | 79 | 65 | 66 | 62 | 83 | 76 | 33 | 750,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 84 | 97 | 86 | 82 | 80 | 74 | 80 | 78 | 81 | 84 | 70 | 72 | 74 | 83 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 56 | 94 | 72 | 80 | 99 | 89 | 80 | USA | 51 | 4 | 2,500,000$ |
General Manager | Shawn Davis |
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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 | Jonathan Toews | 0 | C | 80 | 35 | 54 | 89 | 4 | 38 | 0 | 81 | 330 | 105 | 175 | 10.61% | 51 | 19.82 | 8 | 9 | 17 | 174 | 1 | 0 | 1 | 77 | 3 | 2 | 55.00% | 1980 | 51 | 32 | 1 | 0 | 1.12 | 3 | 7 | |
2 | Mathew Barzal | 0 | C | 80 | 35 | 49 | 84 | 8 | 42 | 0 | 64 | 295 | 83 | 155 | 11.86% | 20 | 17.38 | 11 | 10 | 21 | 171 | 0 | 0 | 0 | 2 | 7 | 3 | 45.69% | 1497 | 89 | 18 | 0 | 0 | 1.21 | 0 | 0 | |
3 | Jake Guentzel | 0 | LW/RW | 80 | 27 | 38 | 65 | 5 | 6 | 0 | 113 | 271 | 100 | 189 | 9.96% | 31 | 19.61 | 4 | 10 | 14 | 174 | 0 | 2 | 2 | 67 | 6 | 2 | 32.79% | 183 | 71 | 29 | 1 | 0 | 0.83 | 2 | 7 | |
4 | Jon Marchessault | 0 | LW/RW | 80 | 31 | 29 | 60 | -10 | 46 | 0 | 112 | 245 | 87 | 167 | 12.65% | 25 | 18.77 | 3 | 5 | 8 | 171 | 0 | 0 | 0 | 11 | 3 | 2 | 40.00% | 120 | 65 | 15 | 0 | 0 | 0.80 | 0 | 0 | |
5 | Andreas Athanasiou | 0 | C/LW/RW | 80 | 33 | 27 | 60 | 27 | 30 | 0 | 89 | 184 | 69 | 120 | 17.93% | 29 | 17.11 | 5 | 9 | 14 | 172 | 0 | 0 | 0 | 0 | 3 | 2 | 51.19% | 84 | 70 | 21 | 0 | 1 | 0.88 | 4 | 4 | |
6 | Josh Anderson | 0 | RW | 80 | 14 | 24 | 38 | 6 | 58 | 0 | 149 | 149 | 50 | 95 | 9.40% | 27 | 17.14 | 2 | 11 | 13 | 172 | 0 | 0 | 0 | 0 | 0 | 0 | 29.33% | 75 | 30 | 30 | 0 | 0 | 0.55 | 0 | 0 | |
7 | Jesper Bratt | 0 | LW/RW | 79 | 14 | 20 | 34 | -5 | 2 | 0 | 22 | 165 | 53 | 92 | 8.48% | 11 | 11.24 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 2 | 40.54% | 37 | 62 | 11 | 0 | 0 | 0.77 | 0 | 0 | |
8 | Mathew Dumba | 0 | D | 80 | 7 | 25 | 32 | 0 | 86 | 0 | 100 | 161 | 56 | 80 | 4.35% | 114 | 21.87 | 2 | 6 | 8 | 171 | 0 | 0 | 0 | 177 | 2 | 1 | 0.00% | 0 | 42 | 59 | 0 | 0 | 0.37 | 0 | 0 | |
9 | Brent Seabrook | 7 | D | 80 | 2 | 28 | 30 | 5 | 46 | 0 | 80 | 77 | 40 | 38 | 2.60% | 122 | 22.53 | 2 | 4 | 6 | 171 | 0 | 0 | 0 | 216 | 1 | 0 | 0.00% | 0 | 5 | 67 | 0 | 0 | 0.33 | 0 | 0 | |
10 | Lars Eller | 0 | C | 80 | 13 | 13 | 26 | -7 | 16 | 0 | 75 | 148 | 35 | 98 | 8.78% | 34 | 14.14 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 206 | 4 | 0 | 49.51% | 818 | 35 | 24 | 0 | 0 | 0.46 | 0 | 0 | |
11 | Matthew Nieto | 0 | LW/RW | 80 | 9 | 16 | 25 | 8 | 0 | 0 | 32 | 146 | 34 | 70 | 6.16% | 30 | 10.11 | 0 | 1 | 1 | 1 | 1 | 1 | 2 | 205 | 0 | 0 | 33.33% | 21 | 28 | 25 | 0 | 0 | 0.62 | 0 | 0 | |
12 | Damon Severson | 0 | D | 80 | 6 | 17 | 23 | 4 | 100 | 0 | 118 | 110 | 47 | 48 | 5.45% | 134 | 22.58 | 4 | 1 | 5 | 176 | 0 | 2 | 2 | 184 | 1 | 0 | 0.00% | 0 | 21 | 72 | 0 | 0 | 0.25 | 0 | 0 | |
13 | Pavel Zacha | 0 | C/LW | 78 | 8 | 13 | 21 | -4 | 8 | 0 | 80 | 120 | 30 | 69 | 6.67% | 32 | 13.03 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 136 | 2 | 0 | 48.08% | 52 | 32 | 19 | 0 | 0 | 0.41 | 0 | 0 | |
14 | Shea Weber | 0 | D | 77 | 2 | 19 | 21 | 0 | 30 | 0 | 118 | 106 | 40 | 38 | 1.89% | 128 | 22.50 | 1 | 4 | 5 | 166 | 0 | 0 | 0 | 195 | 1 | 0 | 0.00% | 0 | 19 | 52 | 0 | 0 | 0.24 | 0 | 0 | |
15 | Marc-Edouard Vlasic | 0 | D | 80 | 1 | 16 | 17 | 11 | 6 | 0 | 20 | 58 | 24 | 29 | 1.72% | 81 | 15.06 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 2 | 43 | 0 | 0 | 0.28 | 0 | 0 | |
16 | Valtteri Filppula | 0 | C | 60 | 7 | 9 | 16 | 4 | 6 | 0 | 21 | 86 | 27 | 44 | 8.14% | 19 | 10.45 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 139 | 1 | 0 | 46.27% | 322 | 16 | 7 | 0 | 0 | 0.51 | 0 | 0 | |
17 | Alec Martinez | 0 | D | 80 | 2 | 10 | 12 | 10 | 8 | 0 | 62 | 73 | 35 | 33 | 2.74% | 99 | 16.42 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 78 | 1 | 0 | 0.00% | 0 | 6 | 45 | 0 | 0 | 0.18 | 0 | 0 | |
18 | Ryan Callahan | 0 | RW | 56 | 3 | 6 | 9 | 6 | 2 | 0 | 30 | 29 | 4 | 17 | 10.34% | 2 | 7.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 1 | 50.00% | 12 | 5 | 3 | 0 | 0 | 0.41 | 0 | 0 | |
Team Total or Average | 1390 | 249 | 413 | 662 | 72 | 530 | 0 | 1366 | 2753 | 919 | 1557 | 9.04% | 989 | 16.77 | 42 | 72 | 114 | 1753 | 3 | 5 | 8 | 1718 | 35 | 15 | 49.09% | 5201 | 649 | 572 | 2 | 1 | 0.57 | 9 | 18 |
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 | Pekka Rinne | Lightning | 62 | 34 | 24 | 3 | 0.905 | 3.22 | 3595 | 0 | 0 | 193 | 2029 | 922 | 4 | 2 | 0.933 | 15 | 62 | 18 | 7 | 3 | 3 |
2 | Cam Talbot | Lightning | 23 | 10 | 6 | 3 | 0.924 | 2.74 | 1250 | 0 | 0 | 57 | 747 | 355 | 0 | 0 | 0.667 | 6 | 18 | 62 | 6 | 0 | 1 |
Team Total or Average | 85 | 44 | 30 | 6 | 0.910 | 3.10 | 4846 | 0 | 0 | 250 | 2776 | 1277 | 4 | 2 | 0.857 | 21 | 80 | 80 | 13 | 3 | 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 |
# | 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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 76 | 29 | 29 | 18 | 0 | 63 | 25 | 6 | 34 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 48 | 30 | 40 | 16 | 31 | 16 | 60.0% | 9.2% | 93.7% | 102.9 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 9 | 12 | 10 | 0 | 28 | 19 | 14 | 18 | 0 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 22 | 13 | 19 | 8 | 17 | 8 | 25.0% | 3.2% | 85.7% | 88.9 | Unlucky | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 5 | 3 | 0 | 0 | 69 | 33 | 19 | 17 | 0 | 63 | 18 | 6 | 31 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 47 | 29 | 38 | 16 | 33 | 17 | 77.8% | 11.6% | 95.2% | 106.8 | LUCKY | |
4 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 16 | 10 | 6 | 6 | 1.000 | 16 | 22 | 38 | 0 | 0 | 6 | 4 | 5 | 1 | 99 | 38 | 35 | 25 | 3 | 98 | 31 | 26 | 53 | 3 | 1 | 33.33% | 13 | 3 | 76.92% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 66 | 39 | 64 | 26 | 53 | 26 | 68.2% | 16.2% | 89.8% | 106.0 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 5 | 0 | 3 | 0 | 65 | 17 | 15 | 33 | 0 | 75 | 23 | 16 | 33 | 10 | 1 | 10.00% | 8 | 0 | 100.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 42 | 24 | 43 | 17 | 33 | 17 | 46.7% | 12.3% | 89.3% | 101.6 | FUN | |
6 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 9 | 2 | 4 | 1.000 | 11 | 18 | 29 | 0 | 0 | 7 | 1 | 1 | 2 | 68 | 25 | 22 | 17 | 7 | 64 | 21 | 16 | 38 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 46 | 26 | 45 | 18 | 37 | 19 | 52.9% | 16.2% | 85.9% | 102.1 | FUN | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 84 | 31 | 29 | 24 | 0 | 72 | 35 | 12 | 33 | 2 | 1 | 50.00% | 6 | 0 | 100.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 46 | 30 | 42 | 15 | 31 | 15 | 41.7% | 7.1% | 90.3% | 97.4 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 67 | 23 | 26 | 18 | 0 | 59 | 13 | 12 | 48 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 46 | 28 | 37 | 16 | 35 | 17 | 45.5% | 10.4% | 89.8% | 100.3 | FUN | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 38 | 14 | 18 | 6 | 0 | 34 | 17 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 22 | 14 | 21 | 7 | 16 | 8 | 37.5% | 7.9% | 85.3% | 93.2 | Unlucky | |
10 | 4 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 16 | 8 | 8 | 8 | 1.000 | 16 | 26 | 42 | 0 | 0 | 3 | 4 | 7 | 2 | 144 | 38 | 55 | 49 | 5 | 141 | 51 | 30 | 60 | 19 | 2 | 10.53% | 15 | 4 | 73.33% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 90 | 54 | 89 | 35 | 66 | 33 | 77.8% | 11.1% | 94.3% | 105.4 | LUCKY | |
11 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 9 | 16 | 0 | 0 | 1 | 3 | 2 | 1 | 72 | 22 | 27 | 21 | 2 | 75 | 34 | 18 | 34 | 8 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 45 | 26 | 44 | 18 | 32 | 17 | 53.8% | 9.7% | 88.0% | 97.7 | FUN | |
12 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 5 | 2 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 61 | 24 | 22 | 14 | 1 | 65 | 31 | 14 | 30 | 5 | 2 | 40.00% | 7 | 3 | 57.14% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 43 | 26 | 45 | 17 | 32 | 15 | 71.4% | 11.5% | 92.3% | 103.8 | LUCKY | |
13 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 18 | -4 | 4 | 0.500 | 14 | 26 | 40 | 0 | 0 | 3 | 3 | 8 | 0 | 143 | 48 | 54 | 41 | 0 | 140 | 43 | 34 | 63 | 19 | 4 | 21.05% | 17 | 8 | 52.94% | 1 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 86 | 51 | 88 | 35 | 65 | 34 | 50.0% | 9.8% | 87.1% | 96.9 | FUN | |
14 | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 11 | 14 | -3 | 2 | 0.250 | 11 | 18 | 29 | 0 | 0 | 5 | 1 | 4 | 1 | 132 | 44 | 60 | 27 | 3 | 151 | 47 | 28 | 66 | 12 | 3 | 25.00% | 14 | 5 | 64.29% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 86 | 53 | 90 | 35 | 67 | 33 | 47.1% | 8.3% | 90.7% | 99.1 | Unlucky | |
15 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 12 | -8 | 1 | 0.167 | 4 | 7 | 11 | 1 | 0 | 1 | 3 | 0 | 0 | 104 | 30 | 38 | 36 | 0 | 130 | 39 | 26 | 59 | 5 | 3 | 60.00% | 13 | 2 | 84.62% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 63 | 39 | 68 | 25 | 47 | 22 | 9.1% | 3.8% | 90.8% | 94.6 | Unlucky | |
16 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 2 | 0.250 | 11 | 18 | 29 | 0 | 0 | 2 | 6 | 3 | 0 | 129 | 47 | 48 | 34 | 0 | 123 | 46 | 44 | 70 | 6 | 2 | 33.33% | 22 | 3 | 86.36% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 88 | 53 | 83 | 35 | 68 | 32 | 47.4% | 8.5% | 89.4% | 98.0 | Unlucky | |
17 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 24 | 13 | 11 | 8 | 0.667 | 24 | 41 | 65 | 0 | 0 | 6 | 11 | 7 | 0 | 212 | 79 | 70 | 63 | 0 | 227 | 73 | 30 | 122 | 19 | 3 | 15.79% | 15 | 0 | 100.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 129 | 79 | 135 | 51 | 95 | 48 | 61.8% | 11.3% | 94.3% | 105.6 | LUCKY | |
18 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 2 | 0.250 | 11 | 17 | 28 | 0 | 0 | 1 | 6 | 4 | 0 | 156 | 61 | 51 | 44 | 0 | 154 | 47 | 34 | 74 | 4 | 2 | 50.00% | 17 | 3 | 82.35% | 1 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 88 | 55 | 86 | 32 | 65 | 32 | 42.9% | 7.1% | 90.3% | 97.3 | Unlucky | |
19 | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 9 | 9 | 0 | 4 | 0.500 | 9 | 11 | 20 | 0 | 0 | 2 | 3 | 2 | 2 | 142 | 40 | 45 | 55 | 4 | 141 | 60 | 28 | 76 | 16 | 1 | 6.25% | 14 | 2 | 85.71% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 88 | 52 | 86 | 35 | 70 | 35 | 53.3% | 6.3% | 93.6% | 100.0 | DULL | |
20 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 6 | 10 | 0.833 | 19 | 31 | 50 | 0 | 0 | 3 | 10 | 6 | 0 | 218 | 67 | 79 | 72 | 0 | 176 | 63 | 40 | 104 | 19 | 2 | 10.53% | 20 | 4 | 80.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 135 | 82 | 126 | 49 | 98 | 50 | 65.4% | 8.7% | 92.6% | 101.3 | DULL | |
21 | 6 | 2 | 1 | 0 | 1 | 1 | 1 | 0 | 19 | 19 | 0 | 9 | 0.750 | 19 | 30 | 49 | 0 | 0 | 4 | 6 | 7 | 4 | 216 | 70 | 70 | 75 | 4 | 211 | 69 | 30 | 96 | 2 | 1 | 50.00% | 15 | 3 | 80.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 129 | 80 | 136 | 51 | 100 | 48 | 52.9% | 8.8% | 91.0% | 99.8 | Unlucky | |
22 | 6 | 1 | 2 | 0 | 0 | 2 | 1 | 0 | 19 | 23 | -4 | 6 | 0.500 | 19 | 28 | 47 | 0 | 0 | 6 | 6 | 6 | 1 | 223 | 73 | 79 | 69 | 5 | 225 | 78 | 20 | 104 | 18 | 3 | 16.67% | 10 | 3 | 70.00% | 0 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 136 | 84 | 130 | 48 | 100 | 52 | 44.4% | 8.5% | 89.8% | 98.3 | Unlucky | |
23 | 8 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 24 | 25 | -1 | 9 | 0.563 | 24 | 37 | 61 | 1 | 0 | 8 | 4 | 11 | 1 | 276 | 89 | 76 | 110 | 1 | 263 | 114 | 52 | 150 | 28 | 5 | 17.86% | 26 | 5 | 80.77% | 1 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 175 | 105 | 172 | 69 | 135 | 67 | 48.7% | 8.7% | 90.5% | 99.2 | Unlucky | |
_Vs Division | 32 | 15 | 9 | 0 | 2 | 4 | 2 | 0 | 105 | 93 | 12 | 42 | 0.656 | 105 | 167 | 272 | 1 | 0 | 27 | 37 | 37 | 6 | 1145 | 378 | 374 | 389 | 10 | 1102 | 397 | 172 | 576 | 86 | 14 | 16.28% | 86 | 15 | 82.56% | 1 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 706 | 432 | 700 | 270 | 531 | 268 | 53.8% | 9.2% | 91.6% | 100.7 | LUCKY | |
_Vs Conference | 56 | 21 | 22 | 0 | 4 | 4 | 5 | 0 | 177 | 170 | 7 | 64 | 0.571 | 177 | 283 | 460 | 1 | 0 | 43 | 60 | 65 | 11 | 1991 | 656 | 687 | 639 | 22 | 1952 | 691 | 370 | 985 | 162 | 28 | 17.28% | 185 | 40 | 78.38% | 3 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 1233 | 753 | 1226 | 480 | 934 | 470 | 53.4% | 8.9% | 91.3% | 100.2 | Unlucky | |
_Since Last GM Reset | 80 | 31 | 30 | 0 | 6 | 6 | 7 | 0 | 262 | 252 | 10 | 94 | 0.588 | 262 | 419 | 681 | 2 | 0 | 76 | 88 | 85 | 15 | 2825 | 951 | 979 | 878 | 35 | 2778 | 997 | 542 | 1409 | 223 | 42 | 18.83% | 271 | 54 | 80.07% | 3 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 1775 | 1082 | 1740 | 686 | 1337 | 672 | 52.6% | 9.3% | 90.9% | 100.2 | FUN | |
Total | 80 | 31 | 30 | 0 | 6 | 6 | 7 | 0 | 262 | 252 | 10 | 94 | 0.588 | 262 | 419 | 681 | 2 | 0 | 76 | 88 | 85 | 15 | 2825 | 951 | 979 | 878 | 35 | 2778 | 997 | 542 | 1409 | 223 | 42 | 18.83% | 271 | 54 | 80.07% | 3 | 1008 | 1981 | 50.88% | 944 | 1991 | 47.41% | 628 | 1249 | 50.28% | 1775 | 1082 | 1740 | 686 | 1337 | 672 | 52.6% | 9.3% | 90.9% | 100.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1981 |
Neutral Zone Start | 1249 |
Defensive Zone Start | 1991 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2580 |
Faceoffs Lost | 2641 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.9 | 9.57 |
2nd Period | 24.1 | 20.31 |
3rd Period | 35.1 | 30.68 |
Overtime | 35.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 215 |
---|---|
PP Goal | 42 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 21 | 23 |
Lost | 17 | 13 |
Overtime Lost | 2 | 4 |
PP Attempt | 223 |
---|---|
PP Goal | 42 |
PK Attempt | 271 |
PK Goal Against | 54 |
Home | |
---|---|
Shots For | 35.3 |
Shots Against | 34.7 |
Goals For | 3.3 |
Goals Against | 3.2 |
Hits | 17.6 |
Shots Blocked | 12.5 |
Pim | 6.8 |
Projected Total Cap Hit | 78,883,809$ |
Projected Cap Space | 2,616,191$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 74,848,313$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2012-2013 | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez | D | 33 | 4,000,000$ | 4,000,000$ | |||||||
Andreas Athanasiou | C/LW/RW | 26 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||
Brady Keeper ![]() | D | 24 | 685,000$ | 685,000$ | |||||||
Brent Seabrook | D | 35 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Cam Talbot ![]() | D | 33 | 750,000$ | 750,000$ | 750,000$ | ||||||
Damon Severson ![]() | D | 26 | 4,166,666$ | 4,166,666$ | 4,166,666$ | 4,166,666$ | |||||
Jake Guentzel | LW/RW | 25 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Jesper Bratt ![]() | LW/RW | 22 | 2,125,000$ | 2,125,000$ | 2,125,000$ | 2,125,000$ | 2,125,000$ | ||||
Jon Marchessault | LW/RW | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Jonathan Toews | C | 32 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | |||||
Josh Anderson ![]() | RW | 26 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | ||||
Lars Eller ![]() | C | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Marc-Edouard Vlasic ![]() | D | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Mathew Barzal | C | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Mathew Dumba ![]() | D | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Matthew Nieto ![]() | LW/RW | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||
Pavel Zacha ![]() | C/LW | 23 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ||||||
Pekka Rinne | LW/RW | 37 | 5,000,000$ | 5,000,000$ | |||||||
Ryan Callahan ![]() | RW | 35 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Shea Weber | D | 35 | 7,857,143$ | 7,857,143$ | 7,857,143$ | 7,857,143$ | |||||
Valtteri Filppula ![]() | C | 36 | 3,000,000$ | 3,000,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ |
Forward Lines | |||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Brady Burns | 2 | 90 | |||
Daniel Torgersson | 2 | 42 | |||
EvanVierling | 2 | 66 | |||
Jarret Tyszka | 1 | ||||
Justus Annunen | 1 | ||||
K'Andre Miller | 1 | ||||
Ty Smilanic | 2 | 18 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-08-18 | @ | Blue Jackets4,Lightning2 | RECAP | |||||||||||
2020-08-19 | @ | Lightning4,Blue Jackets1 | RECAP | |||||||||||
2020-08-21 | @ | Rangers2,Lightning5 | RECAP | |||||||||||
2020-08-24 | @ | Lightning3,Devils2 (SO) | RECAP | |||||||||||
2020-08-26 | @ | Flyers3,Lightning4 | RECAP | |||||||||||
2020-08-27 | @ | Lightning3,Senators4 | RECAP | |||||||||||
2020-08-29 | @ | Sabres5,Lightning1 | RECAP | |||||||||||
2020-08-31 | @ | Lightning1,Flyers3 | RECAP | |||||||||||
2020-09-02 | @ | Lightning3,Blue Jackets2 | RECAP | |||||||||||
2020-09-05 | @ | Devils5,Lightning4 | RECAP | |||||||||||
2020-09-07 | @ | Panthers1,Lightning3 | RECAP | |||||||||||
2020-09-09 | @ | Lightning4,Blue Jackets3 (OT) | RECAP | |||||||||||
2020-09-10 | @ | Lightning4,Panthers5 (OT) | RECAP | |||||||||||
2020-09-12 | @ | Senators3,Lightning4 (SO) | RECAP | |||||||||||
2020-09-15 | @ | Blue Jackets5,Lightning3 | RECAP | |||||||||||
2020-09-16 | @ | Lightning3,Red Wings4 | RECAP | |||||||||||
2020-09-18 | @ | Maple Leafs2,Lightning1 | RECAP | |||||||||||
2020-09-20 | @ | Lightning3,Blues4 | RECAP | |||||||||||
2020-09-22 | @ | Lightning4,Panthers3 | RECAP | |||||||||||
2020-09-24 | @ | Sabres4,Lightning3 | RECAP | |||||||||||
2020-09-26 | @ | Lightning4,Panthers3 (OT) | RECAP | |||||||||||
2020-09-28 | @ | Red Wings3,Lightning2 | RECAP | |||||||||||
2020-09-29 | @ | Lightning2,Rangers3 | RECAP | |||||||||||
2020-10-01 | @ | Red Wings1,Lightning2 (SO) | RECAP | |||||||||||
2020-10-03 | @ | Devils6,Lightning1 | RECAP | |||||||||||
2020-10-07 | @ | Lightning4,Bruins3 (OT) | RECAP | |||||||||||
2020-10-10 | @ | Bruins1,Lightning5 | RECAP | |||||||||||
2020-10-11 | @ | Bruins3,Lightning4 (SO) | RECAP | |||||||||||
2020-10-13 | @ | Lightning8,Canucks4 | RECAP | |||||||||||
2020-10-15 | @ | Lightning2,Ducks3 (OT) | RECAP | |||||||||||
2020-10-17 | @ | Stars3,Lightning4 | RECAP | |||||||||||
2020-10-19 | @ | Blues2,Lightning4 | RECAP | |||||||||||
2020-10-21 | @ | Lightning4,Canucks3 | RECAP | |||||||||||
2020-10-23 | @ | Canucks3,Lightning4 (SO) | RECAP | |||||||||||
2020-10-25 | @ | Lightning3,Bruins1 | RECAP | |||||||||||
2020-10-28 | @ | Flyers1,Lightning4 | RECAP | |||||||||||
2020-10-29 | @ | Lightning4,Golden Knights1 | RECAP | |||||||||||
2020-10-31 | @ | Panthers5,Lightning1 | RECAP | |||||||||||
2020-11-02 | @ | Lightning4,Avalanche3 (SO) | RECAP | |||||||||||
2020-11-06 | @ | Golden Knights7,Lightning4 | RECAP | |||||||||||
2020-11-07 | @ | Lightning1,Senators2 | RECAP | |||||||||||
2020-11-09 | @ | Lightning1,Wild6 | RECAP | |||||||||||
2020-11-11 | @ | Lightning4,Rangers2 | RECAP | |||||||||||
2020-11-13 | @ | Senators5,Lightning3 | RECAP | |||||||||||
2020-11-14 | @ | Lightning3,Coyotes6 | RECAP | |||||||||||
2020-11-17 | @ | Coyotes3,Lightning4 (OT) | RECAP | |||||||||||
2020-11-18 | @ | Panthers2,Lightning3 (SO) | RECAP | |||||||||||
2020-11-22 | @ | Lightning2,Maple Leafs3 | RECAP | |||||||||||
2020-11-23 | @ | Lightning2,Red Wings1 (OT) | RECAP | |||||||||||
2020-11-24 | @ | Lightning4,Devils5 (OT) | RECAP | |||||||||||
2020-11-25 | @ | Avalanche6,Lightning7 (OT) | RECAP | |||||||||||
2020-11-27 | @ | Devils3,Lightning2 (OT) | RECAP | |||||||||||
2020-11-29 | @ | Jets5,Lightning3 | RECAP | |||||||||||
2020-12-03 | @ | Lightning4,Flyers2 | RECAP | |||||||||||
2020-12-05 | @ | Flames3,Lightning5 | RECAP | |||||||||||
2020-12-07 | @ | Oilers1,Lightning3 | RECAP | |||||||||||
2020-12-08 | @ | Lightning4,Flyers3 | RECAP | |||||||||||
2020-12-09 | @ | Lightning3,Canadiens7 | RECAP | |||||||||||
2020-12-10 | @ | Lightning5,Devils2 | RECAP | |||||||||||
2020-12-12 | @ | Canadiens6,Lightning4 | RECAP | |||||||||||
2020-12-14 | @ | Lightning1,Kings4 | RECAP | |||||||||||
2020-12-15 | @ | Wild3,Lightning2 (OT) | RECAP | |||||||||||
2020-12-17 | @ | Rangers4,Lightning3 | RECAP | |||||||||||
2020-12-18 | @ | Lightning2,Stars4 | RECAP | |||||||||||
2020-12-20 | @ | Flyers1,Lightning2 | RECAP | |||||||||||
2020-12-21 | @ | Lightning3,Blue Jackets4 (OT) | RECAP | |||||||||||
2020-12-23 | @ | Lightning4,Canadiens3 | RECAP | |||||||||||
2020-12-25 | @ | Wild3,Lightning1 | RECAP | |||||||||||
2020-12-26 | @ | Lightning4,Maple Leafs2 | RECAP | |||||||||||
2020-12-27 | @ | Lightning2,Sabres3 | RECAP | |||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2020-12-29 | @ | Canadiens2,Lightning3 | RECAP | |||||||||||
2020-12-31 | @ | Lightning5,Oilers2 | RECAP | |||||||||||
2021-01-01 | @ | Lightning4,Rangers1 | RECAP | |||||||||||
2021-01-03 | @ | Rangers1,Lightning6 | RECAP | |||||||||||
2021-01-06 | @ | Maple Leafs6,Lightning4 | RECAP | |||||||||||
2021-01-10 | @ | Lightning5,Sabres3 | RECAP | |||||||||||
2021-01-13 | @ | Blue Jackets5,Lightning3 | RECAP | |||||||||||
2021-01-16 | @ | Lightning2,Flames1 | RECAP | |||||||||||
2021-01-18 | @ | Ducks2,Lightning5 | RECAP | |||||||||||
2021-01-21 | @ | Blue Jackets1,Lightning2 | RECAP | |||||||||||
2021-01-23 | @ | |||||||||||||
2021-01-28 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,883,809$ | 0$ | 78,883,809$ | 2,616,191$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Amalie Arena | |
City | Tampa Bay | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 189546 | 157811 | 64282 | 128439 | 37820 |
Attendance PCT | 78.98% | 78.91% | 80.35% | 80.27% | 94.55% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
1 | 14447 - 80.26% | 4,161,740$ | 166,469,617$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,883,809$ | 78,883,809$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
77,325,635$ | 78,883,809$ | 74,848,313$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
4,161,740$ | 9 | 487,328$ | 4,385,952$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,385,952$ | 78,883,809$ | 236,900,775$ | 236,676,563$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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6 | ||||
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