Full Scoreboard ยป |
Tampa Bay Lightning 0-0-0, 0pts · 9th in Eastern Conference |
Priority | Type | Description |
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Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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![]() | 0 | C | 100.00 | 49 | 2 | 95 | 81 | 74 | 99 | 95 | 88 | 97 | 86 | 87 | 58 | 90 | 81 | 88 | 84 | 50 | 78 | 34 | 8,400,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 45 | 1 | 99 | 85 | 68 | 98 | 99 | 92 | 28 | 96 | 99 | 47 | 75 | 74 | 75 | 70 | 50 | 78 | 28 | 6,500,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 54 | 18 | 89 | 83 | 86 | 99 | 99 | 86 | 39 | 94 | 70 | 42 | 65 | 82 | 85 | 80 | 50 | 75 | 36 | 5,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 44 | 59 | 81 | 77 | 80 | 95 | 92 | 71 | 83 | 86 | 60 | 80 | 55 | 55 | 80 | 50 | 75 | 22 | 6,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 52 | 3 | 99 | 82 | 79 | 93 | 99 | 78 | 85 | 77 | 81 | 53 | 61 | 71 | 72 | 79 | 50 | 73 | 31 | 2,800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 33 | 98 | 77 | 77 | 78 | 78 | 68 | 50 | 76 | 89 | 80 | 25 | 66 | 67 | 78 | 50 | 73 | 30 | 4,750,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 50 | 3 | 99 | 76 | 79 | 89 | 91 | 81 | 52 | 76 | 88 | 46 | 56 | 75 | 78 | 78 | 50 | 72 | 33 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 19 | 89 | 80 | 76 | 93 | 97 | 80 | 66 | 76 | 85 | 42 | 61 | 77 | 78 | 80 | 50 | 72 | 33 | 3,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 39 | 1 | 99 | 80 | 72 | 92 | 99 | 81 | 38 | 90 | 81 | 28 | 60 | 83 | 86 | 79 | 50 | 72 | 35 | 3,750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 93 | 28 | 73 | 82 | 84 | 92 | 91 | 63 | 28 | 63 | 78 | 66 | 25 | 76 | 77 | 65 | 50 | 70 | 28 | 2,900,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 54 | 87 | 70 | 85 | 81 | 91 | 73 | 33 | 66 | 63 | 43 | 25 | 78 | 81 | 60 | 50 | 66 | 34 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 31 | 89 | 83 | 72 | 70 | 53 | 66 | 50 | 63 | 62 | 57 | 59 | 67 | 68 | 59 | 50 | 63 | 30 | 750,000$/4yrs | |||
![]() | 0 | D | 100.00 | 82 | 14 | 71 | 91 | 78 | 99 | 96 | 85 | 25 | 73 | 60 | 89 | 41 | 80 | 81 | 57 | 50 | 81 | 28 | 6,900,000$/1yrs | |||
![]() | 6 | D | 100.00 | 52 | 1 | 99 | 94 | 79 | 97 | 99 | 73 | 25 | 59 | 51 | 84 | 25 | 79 | 80 | 53 | 50 | 76 | 26 | 6,150,000$/1yrs | |||
![]() | 0 | D | 100.00 | 48 | 1 | 99 | 87 | 74 | 95 | 95 | 65 | 22 | 61 | 52 | 86 | 25 | 78 | 79 | 49 | 50 | 74 | 29 | 3,300,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 1 | 99 | 86 | 48 | 99 | 89 | 78 | 25 | 67 | 60 | 84 | 25 | 74 | 76 | 73 | 50 | 74 | 33 | 4,150,000$/1yrs | |||
![]() | 0 | D | 100.00 | 52 | 2 | 99 | 84 | 71 | 99 | 86 | 72 | 25 | 67 | 58 | 84 | 25 | 65 | 67 | 71 | 50 | 73 | 31 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 17 | 97 | 72 | 81 | 93 | 99 | 56 | 25 | 47 | 42 | 75 | 62 | 85 | 86 | 61 | 50 | 71 | 36 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 61 | 15 | 91 | 82 | 76 | 91 | 92 | 77 | 44 | 73 | 72 | 62 | 49 | 75 | 77 | 70 | 50 | 73 |
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. |
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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") |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 50 | 100.00 | 95 | 75 | 73 | 86 | 99 | 91 | 99 | 95 | 99 | 95 | 95 | 63 | 64 | 62 | 50 | 86 | 29 | 5,000,000$/2yrs |
![]() | 0 | 100.00 | 78 | 78 | 88 | 83 | 81 | 74 | 74 | 74 | 74 | 72 | 50 | 62 | 62 | 37 | 50 | 73 | 27 | 750,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 77 | 81 | 85 | 90 | 83 | 87 | 85 | 87 | 84 | 73 | 63 | 63 | 50 | 50 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Quenneville | 48 | 46 | 76 | 80 | 99 | 99 | 60 | CAN | 64 | 6 | 5,000,000$ |
General Manager | Michael |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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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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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 90,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|---|---|---|---|---|---|---|---|
Blake Wheeler | C/RW | 36 | 5,000,000$ | 5,000,000$ | |||||||
Brock Nelson | C/LW | 31 | 2,800,000$ | 2,800,000$ | |||||||
Damon Severson ![]() | D | 28 | 6,900,000$ | 6,900,000$ | |||||||
Ivan Provorov | D | 26 | 6,150,000$ | 6,150,000$ | |||||||
Jack Johnson ![]() | D | 36 | 750,000$ | 750,000$ | |||||||
Jake Guentzel | LW/RW | 28 | 6,500,000$ | 6,500,000$ | |||||||
James van Riemsdyk | LW | 33 | 3,000,000$ | 3,000,000$ | |||||||
Jamie Benn | C/LW | 33 | 3,000,000$ | 3,000,000$ | |||||||
Jared Spurgeon | D | 33 | 4,150,000$ | 4,150,000$ | |||||||
Jonathan Toews | C | 34 | 8,400,000$ | 8,400,000$ | |||||||
Josh Anderson ![]() | LW/RW | 28 | 2,900,000$ | 2,900,000$ | 2,900,000$ | ||||||
Linus Ullmark | D | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Mike Matheson | D | 29 | 3,300,000$ | 3,300,000$ | |||||||
Nate Schmidt ![]() | D | 31 | 2,750,000$ | 2,750,000$ | |||||||
Pat Maroon ![]() | LW/RW | 34 | 1,000,000$ | 1,000,000$ | |||||||
Phil Kessel | LW/RW | 35 | 3,750,000$ | 3,750,000$ | |||||||
Spencer Martin ![]() | RW | 27 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 750,000$ | ||||
Stelio Mattheos | RW | 22 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||
Tomas Jurco ![]() | LW/RW | 30 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 750,000$ | ||||
Zach Hyman | LW/RW | 30 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ |
Forward Lines | |||||||
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Goalies | |||||||
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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 |
---|---|---|---|---|---|
Aidan Hreschuk | 5 | 56 | |||
Dmitri Buchelnikov | 6 | 33 | |||
Dylan MacKinnon | 8 | 46 | |||
Elias Salomonsson | 7 | 51 | |||
Jack Bar | 5 | 80 | |||
Owen Mehlenbacher | 7 | 75 | |||
Samuel Jonsson | 6 | 81 | |||
Stiven Sardarian | 5 | 55 | |||
Sutter Muzzatti | 8 | 94 | |||
Vojtech Port | 8 | 84 |
Date | Matchup | Result | Detail | |||||||||||
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2023-09-25 | @ | |||||||||||||
2023-09-26 | @ | |||||||||||||
2023-09-27 | @ | |||||||||||||
2023-09-29 | @ | |||||||||||||
2023-09-30 | @ | |||||||||||||
2023-10-01 | @ | |||||||||||||
2023-10-02 | @ | |||||||||||||
2023-10-04 | @ | |||||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2023-10-06 | @ | |||||||||||||
2023-10-08 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,600,000$ | 0$ | 0$ | 90,000,000$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,600,000$ | 77,600,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 16 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 807,108,559$ | 807,108,559$ |
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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13 |