

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW | 100.00 | 56 | 34 | 94 | 84 | 69 | 90 | 93 | 91 | 58 | 95 | 77 | 62 | 86 | 75 | 74 | 0 | 81 | 31 | 10,570,685$/5yrs | |||||
![]() | C | 100.00 | 57 | 36 | 81 | 84 | 82 | 90 | 93 | 82 | 81 | 83 | 74 | 69 | 78 | 75 | 74 | 0 | 80 | 31 | 7,373,500$/4yrs | |||||
![]() | RW | 100.00 | 67 | 37 | 83 | 78 | 83 | 88 | 85 | 80 | 55 | 83 | 79 | 61 | 82 | 77 | 76 | 0 | 79 | 31 | 6,938,500$/2yrs | |||||
![]() | C | 100.00 | 67 | 35 | 87 | 77 | 73 | 90 | 92 | 78 | 83 | 79 | 74 | 72 | 76 | 64 | 72 | 0 | 78 | 23 | 7,131,314$/9yrs | |||||
![]() | C | 100.00 | 63 | 38 | 86 | 79 | 75 | 89 | 90 | 73 | 86 | 79 | 74 | 81 | 73 | 70 | 72 | 0 | 78 | 29 | 2,335,667$/3yrs | |||||
![]() | LW | 100.00 | 64 | 36 | 82 | 73 | 78 | 88 | 91 | 78 | 58 | 82 | 77 | 65 | 78 | 86 | 76 | 0 | 78 | 35 | 5,109,000$/2yrs | |||||
![]() | RW | 100.00 | 71 | 35 | 94 | 75 | 77 | 88 | 85 | 76 | 62 | 74 | 73 | 66 | 77 | 74 | 71 | 0 | 76 | 30 | 5,062,572$/7yrs | |||||
![]() | C | 100.00 | 78 | 37 | 92 | 68 | 71 | 84 | 85 | 64 | 92 | 63 | 65 | 88 | 62 | 79 | 74 | 0 | 75 | 34 | 2,820,000$/2yrs | |||||
![]() | LW | 100.00 | 56 | 37 | 89 | 75 | 71 | 84 | 86 | 68 | 54 | 65 | 63 | 81 | 69 | 81 | 75 | 0 | 74 | 34 | 2,181,000$/2yrs | |||||
![]() | C/RW | 100.00 | 62 | 35 | 88 | 67 | 73 | 86 | 89 | 65 | 81 | 63 | 68 | 82 | 66 | 64 | 65 | 0 | 73 | 23 | 1,508,333$/3yrs | |||||
![]() | RW | 100.00 | 58 | 35 | 86 | 72 | 77 | 85 | 82 | 76 | 59 | 73 | 66 | 62 | 76 | 78 | 77 | 0 | 73 | 36 | 8,074,000$/1yrs | |||||
![]() | RW | 100.00 | 73 | 39 | 81 | 66 | 83 | 87 | 74 | 67 | 59 | 65 | 68 | 63 | 64 | 73 | 71 | 0 | 72 | 31 | 1,310,000$/1yrs | |||||
![]() | D | 100.00 | 66 | 39 | 84 | 76 | 99 | 93 | 92 | 75 | 30 | 91 | 77 | 83 | 59 | 83 | 76 | 0 | 83 | 32 | 7,843,750$/4yrs | |||||
![]() | D | 100.00 | 66 | 36 | 89 | 75 | 67 | 91 | 82 | 76 | 30 | 83 | 72 | 85 | 59 | 78 | 77 | 0 | 79 | 32 | 6,027,500$/6yrs | |||||
![]() | D | 100.00 | 56 | 36 | 91 | 82 | 80 | 93 | 90 | 77 | 30 | 85 | 73 | 64 | 59 | 69 | 74 | 0 | 78 | 27 | 4,077,750$/4yrs | |||||
![]() | D | 100.00 | 72 | 37 | 81 | 65 | 86 | 92 | 90 | 64 | 30 | 76 | 59 | 84 | 51 | 68 | 70 | 0 | 76 | 27 | 2,039,000$/2yrs | |||||
![]() | D | 100.00 | 77 | 38 | 83 | 61 | 92 | 88 | 87 | 59 | 30 | 67 | 58 | 81 | 50 | 73 | 72 | 0 | 74 | 31 | 2,666,667$/3yrs | |||||
![]() | D | 100.00 | 57 | 33 | 87 | 74 | 65 | 90 | 87 | 71 | 30 | 77 | 64 | 61 | 55 | 70 | 72 | 0 | 72 | 29 | 2,759,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 100.00 | 58 | 36 | 87 | 65 | 72 | 85 | 86 | 67 | 80 | 69 | 64 | 73 | 65 | 87 | 78 | 0 | 72 | 39 | 1,000,000$/1yrs | |||||
![]() | D | 100.00 | 77 | 34 | 91 | 63 | 72 | 86 | 84 | 59 | 30 | 67 | 58 | 78 | 50 | 73 | 72 | 0 | 72 | 33 | 845,833$/3yrs | |||||
![]() | D | 100.00 | 73 | 34 | 92 | 69 | 85 | 86 | 82 | 65 | 30 | 62 | 64 | 72 | 53 | 67 | 69 | 0 | 72 | 26 | 1,050,000$/3yrs | |||||
TEAM AVERAGE | 100.00 | 65 | 36 | 87 | 73 | 78 | 88 | 87 | 72 | 55 | 75 | 69 | 73 | 66 | 74 | 73 | 0 | 76 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 88 | 100.00 | 97 | 95 | 90 | 88 | 96 | 95 | 97 | 96 | 95 | 97 | 96 | 76 | 81 | 0 | 94 | 28 | 9,070,857$/7yrs | |
![]() | 47 | 100.00 | 90 | 85 | 79 | 84 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 82 | 88 | 0 | 89 | 35 | 2,125,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 94 | 90 | 85 | 86 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 79 | 85 | 0 | 92 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Quenneville | 82 | 86 | 91 | 75 | 95 | 89 | 49 | CAN | 64 | 5 | 0$ |
General Manager | Simon Bonneau |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
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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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
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 | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
Contracts | 50/50 |
LTIR Players | 0 |
Lightnings Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Radulov ![]() | RW | 36 | 8,074,000$ | 8,074,000$ | UFA | ||||||
Andrei Vasilevskiy ![]() | G | 28 | 9,070,857$ | 6,496,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Artemi Panarin ![]() | LW | 31 | 10,570,685$ | 6,282,000$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | UFA | ||
Brett Connolly ![]() | RW | 31 | 1,310,000$ | 1,310,000$ | UFA | ||||||
Carl Hagelin ![]() | LW | 34 | 2,181,000$ | 1,612,000$ | 2,750,000$ | UFA | |||||
Chad Ruhwedel ![]() | D | 33 | 845,833$ | 937,500$ | 800,000$ | 800,000$ | UFA | ||||
Chandler Stephenson ![]() | C | 29 | 2,335,667$ | 1,507,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
David Perron ![]() | LW | 35 | 5,109,000$ | 5,468,000$ | 4,750,000$ | UFA | |||||
Evgeny Kuznetsov ![]() | C | 31 | 7,373,500$ | 6,094,000$ | 7,800,000$ | 7,800,000$ | 7,800,000$ | UFA | |||
Haydn Fleury ![]() | D | 26 | 1,050,000$ | 1,625,000$ | 762,500$ | 762,500$ | UFA | ||||
Isac Lundestrom ![]() | C/RW | 23 | 1,508,333$ | 925,000$ | 1,800,000$ | 1,800,000$ | ![]() | ||||
James Reimer ![]() | G | 35 | 2,125,000$ | 2,000,000$ | 2,250,000$ | UFA | |||||
Luke Glendening ![]() | C | 34 | 2,820,000$ | 4,140,000$ | 1,500,000$ | UFA | |||||
Matt Grzelcyk ![]() | D | 29 | 2,759,000$ | 902,000$ | 3,687,500$ | 3,687,500$ | UFA | ||||
Nick Suzuki ![]() | C | 23 | 7,131,314$ | 1,325,833$ | 7,857,000$ | 7,857,000$ | 7,857,000$ | 7,857,000$ | 7,857,000$ | 7,857,000$ | 7,857,000$ |
Patrik Nemeth ![]() | D | 31 | 2,666,667$ | 3,000,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Rickard Rakell ![]() | RW | 30 | 5,062,572$ | 5,438,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA |
Ryan Ellis ![]() | D | 32 | 6,027,500$ | 4,915,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |
Shea Theodore ![]() | D | 27 | 4,077,750$ | 711,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | UFA | |||
Valtteri Filppula ![]() | C | 39 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Victor Hedman ![]() | D | 32 | 7,843,750$ | 7,750,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |||
Vladimir Tarasenko ![]() | RW | 31 | 6,938,500$ | 6,377,000$ | 7,500,000$ | UFA | |||||
Vladislav Gavrikov ![]() | D | 27 | 2,039,000$ | 1,278,000$ | 2,800,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Fortin ![]() | LW | 26 | 750,000$ | 700,000$ | ![]() | ||||||
Brandon Gignac ![]() | LW/RW | 25 | 1,392,000$ | 1,392,000$ | ![]() | ||||||
Carson Focht ![]() | C | 23 | 883,333$ | 883,333$ | 883,333$ | ![]() | |||||
Chad Yetman ![]() | RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Chris Bigras ![]() | D | 28 | 891,000$ | 891,000$ | UFA | ||||||
Christopher Gibson ![]() | G | 30 | 1,107,000$ | 1,464,000$ | 750,000$ | UFA | |||||
Dennis Yan ![]() | LW | 26 | 846,000$ | 846,000$ | ![]() | ||||||
Dmytro Timashov ![]() | LW/RW | 26 | 1,092,000$ | 1,092,000$ | ![]() | ||||||
Gabriel Dumont ![]() | C | 32 | 909,000$ | 909,000$ | UFA | ||||||
Hugo Alnefelt ![]() | G | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Jack Dougherty ![]() | D | 27 | 862,000$ | 862,000$ | UFA | ||||||
Jack LaFontaine ![]() | G | 25 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Jacob Moverare ![]() | D | 24 | 917,667$ | 1,228,000$ | 762,500$ | 762,500$ | ![]() | ||||
John Leonard ![]() | LW | 24 | 943,750$ | 1,137,500$ | 750,000$ | ![]() | |||||
Kale Clague ![]() | D | 24 | 855,826$ | 961,652$ | 750,000$ | ![]() | |||||
Kyle Criscuolo ![]() | C | 31 | 966,500$ | 1,183,000$ | 750,000$ | UFA | |||||
Lane Pederson ![]() | C | 25 | 750,000$ | 700,000$ | 750,000$ | ![]() | |||||
Libor Hajek ![]() | D | 25 | 946,328$ | 1,092,656$ | 800,000$ | ![]() | |||||
Nate Schnarr ![]() | C | 24 | 822,084$ | 894,167$ | 750,000$ | ![]() | |||||
Noah Juulsen ![]() | D | 26 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Pavel Gogolev ![]() | LW | 23 | 1,124,778$ | 1,700,000$ | 837,167$ | 837,167$ | ![]() | ||||
Pierre-Cedric Labrie ![]() | LW/RW | 36 | 1,010,400$ | 750,000$ | 1,270,800$ | UFA | |||||
Robbie Russo ![]() | D | 30 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Seth Griffith ![]() | C | 30 | 820,333$ | 936,000$ | 762,500$ | 762,500$ | UFA | ||||
Stefan Matteau ![]() | C | 29 | 850,000$ | 850,000$ | UFA | ||||||
Trevor Carrick ![]() | D | 28 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Veini Vehvilainen ![]() | G | 26 | 1,300,000$ | 1,300,000$ | ![]() |
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 |
# | 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 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
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 | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,167,333$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Amalie Arena | |
City | Tampa Bay | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 115$ | 65$ | 45$ | 25$ | 250$ |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,167,333$ | 99,919,928$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 7 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 21,432,255$ | 21,432,255$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ||
2024 | ![]() ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() ![]() |
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 |
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Ayrton Martino | ![]() | 2022 | 59 | ||
Bear Hugues | ![]() | 2021 | 177 | ||
Chase Mclane | ![]() | 2021 | 213 | ||
Clayton Phillips | ![]() | 2018 | 161 | ||
Daniil Chechelev | ![]() | 2021 | 87 | ||
Donovan Sebrango | ![]() | 2021 | 85 | ||
Hank Kempf | ![]() | 2022 | 219 | ||
Jack Bar | ![]() | 2022 | 111 | ||
Jackson Blake | ![]() | 2022 | 60 | ||
Jaromir Pytlick | ![]() | 2021 | 105 | ||
Joe Vrbetic | ![]() | 2022 | 117 | ||
Kirill Gerasimyuk | ![]() | 2022 | 181 | ||
Luke Evangelista | ![]() | 2021 | 59 | ||
Luke Prokop | ![]() | 2021 | 73 | ||
Noah Ellis | ![]() | 2021 | 202 | ||
Sean Tschigerl | ![]() | 2022 | 87 | ||
Ty Murchison | ![]() | 2022 | 187 | ||
William Worge-Kreu | ![]() | 2019 | 199 | ||
Yegor Naumov | ![]() | 2022 | 213 | ||
Zayde Wisdom | ![]() | 2021 | 71 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ||
2024 | ![]() ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() ![]() |
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 |
---|---|---|---|---|---|
Ayrton Martino | ![]() | 2022 | 59 | ||
Bear Hugues | ![]() | 2021 | 177 | ||
Chase Mclane | ![]() | 2021 | 213 | ||
Clayton Phillips | ![]() | 2018 | 161 | ||
Daniil Chechelev | ![]() | 2021 | 87 | ||
Donovan Sebrango | ![]() | 2021 | 85 | ||
Hank Kempf | ![]() | 2022 | 219 | ||
Jack Bar | ![]() | 2022 | 111 | ||
Jackson Blake | ![]() | 2022 | 60 | ||
Jaromir Pytlick | ![]() | 2021 | 105 | ||
Joe Vrbetic | ![]() | 2022 | 117 | ||
Kirill Gerasimyuk | ![]() | 2022 | 181 | ||
Luke Evangelista | ![]() | 2021 | 59 | ||
Luke Prokop | ![]() | 2021 | 73 | ||
Noah Ellis | ![]() | 2021 | 202 | ||
Sean Tschigerl | ![]() | 2022 | 87 | ||
Ty Murchison | ![]() | 2022 | 187 | ||
William Worge-Kreu | ![]() | 2019 | 199 | ||
Yegor Naumov | ![]() | 2022 | 213 | ||
Zayde Wisdom | ![]() | 2021 | 71 |