LightningTampa Bay Lightning
18-19-6, 42pts · 13th in Eastern Conference
Roster
Player Position CD CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO OV Age Contract
Jakob SilfverbergRW99.006536847479878572567165837379725672324,500,000$/3yrs
Adam HenriqueC/LW99.005838937173878672897376697481734071326,711,111$/3yrs
Vladislav NamestnikovC99.006643837370869072746671807375716471304,825,000$/1yrs
Kyle OkposoRW100.006239887178868270687370717285754670344,500,000$/3yrs
Darren HelmC100.006635947073828464726566836284773370364,000,000$/2yrs
Carter RowneyC100.007836926183807462776563816274732668332,500,000$/1yrs
Ryan DonatoC/LW/RW100.006438877371849069677068617267686668262,500,000$/2yrs
Stefan NoesenRW100.006936846678878564636566686470716667293,700,000$/3yrs
Michael MerschLW100.007441796583888964666365626570754866301,400,000$/2yrs
Carson MeyerRW100.006139776469838563586265596365675464252,500,000$/3yrs
Kyle TurrisC100.005835826476787366796361626682735864333,500,000$/1yrs
Joel TeasdaleLW100.006638816275847461546063596263654362232,000,000$/4yrs
Alex GoligoskiD99.006433886769919065307957785288773372376,500,111$/2yrs
Calvin de HaanD100.008338876376898859306857765275726671314,500,000$/4yrs
Mike ReillyD99.006936907279899273307756685271695171292,000,000$/4yrs
Justin SchultzD100.005836917278888469307860585478734668323,000,000$/2yrs
Radim SimekD100.008638916075838562306157685270723568301,125,000$/1yrs
Michal KempnyD100.007245696376846758306259725073742767324,200,000$/3yrs
Scratches
Nick HoldenD95.647438866389908462307259865079762374354,000,000$/2yrs
Andrej SustrD100.008345825799828758306659684574752869323,500,000$/2yrs
TEAM AVERAGE99.506938856777858465536863716175724569
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO OV AGE CONTRACT
Brian Elliott098.00867973828584868584868587914875375,000,000$/1yrs
Sam Montembeault099.0077908683767577767577766675627026975,000$/3yrs
Scratches
TEAM AVERAGE98.50828580838180828180828177835573
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jacques Martin62666558999737CAN704500,000$
General Manager
Luc Clement
Player Stats
Filter Tips
PriorityTypeDescription
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
10textAny 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
1Adam HenriqueLightningLightning0C/LW43192443-128053176609310.80%2723.30710170001422151.82%101.00490.99
2Vladislav NamestnikovLightningLightning0C43162743634057126377812.70%2020.86189011831246.31%001.00050.87
3Jakob SilfverbergLightningLightning0RW43192241-21500841724811211.05%2322.4011102100092138.46%010.95590.72
4Kyle OkposoLightningLightning0RW437243122805811251756.25%2618.493710011260041.82%000.72130.69
5Nick HoldenLightningLightning0D4241014-14340536516276.15%8226.76336000132000.00%000.33000.19
6Mike ReillyLightningLightning0D433811-12200374221197.14%5620.78224011110100.00%000.26010.15
7Darren HelmLightningLightning0C433710-1000378823493.41%2115.17000000270147.24%000.23020.28
8Calvin de HaanLightningLightning0D332791160613119136.45%3221.3323500036010.00%000.27000.27
9Alex GoligoskiLightningLightning0D43189-11240334724262.13%7623.50123000118000.00%000.21000.14
10Stefan NoesenLightningLightning0RW43347-7100427825443.85%1312.8200000000045.00%000.16000.21
11Carter RowneyLightningLightning0C43347-820232392413.04%118.91000000151150.00%000.16000.11
12Ryan DonatoLightningLightning0C/LW/RW27516-9140255512319.09%512.66101000161143.90%000.22120.16
13Justin SchultzLightningLightning0D43033-3201015740.00%1610.86000011390050.00%000.07000.05
14Andrej SustrLightningLightning0D4103304097220.00%106.4000000019000.00%000.07000.05
15Michael MerschLightningLightning0LW10022-2609225110.00%615.0200000011000.00%000.20000.20
16Radim SimekLightningLightning0D43022-3602414360.00%118.990000005000.00%000.05000.03
17Joel TeasdaleLightningLightning0LW2101200341325.00%112.590000000000.00%000.50000.99
18Michal KempnyLightningLightning0D1100012040120.00%25.030000001000.00%000.00000.02
19Carson MeyerLightningLightning0RW100002010010.00%08.230000000000.00%000.0000-0.33
20Kyle TurrisLightningLightning0C8000-10016020.00%05.5800000000050.00%000.00010.02
Team Total or Average64886156242-101262062410833646227.94%43816.543145767460447968846.85%1970216274110.451132
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Brian ElliottLightningLightning29111240.9152.9116890082970483300.652232912511
2Sam MontembeaultLightningLightning83310.9232.954270021272132100.6676613101
Team Total or Average37141550.9172.922117001031242615400.655293525612
Filter Tips
PriorityTypeDescription
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
10textAny 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
1LightningDucks1000010023-110.500235000110399161404019420200.00%2150.00%0506106947.33%522111746.73%30866146.60%201122817850.0%5.1%92.5%97.6DULL
2LightningJets1010000012-100.000123001000259511041121013300.00%50100.00%0506106947.33%522111746.73%30866146.60%16725917833.3%4.0%95.1%99.1DULL
3LightningBruins2110000043120.5004812001120551921150673114292150.00%70100.00%0506106947.33%522111746.73%30866146.60%36184718351650.0%7.3%95.5%102.8DULL
4LightningSabres321000001512340.66715264100735010133402801154116528562.50%90100.00%0506106947.33%522111746.73%30866146.60%58326429562645.5%14.9%89.6%104.4FUN
5LightningFlames1100000031221.0003690010203813619031186162150.00%30100.00%1506106947.33%522111746.73%30866146.60%211221816766.7%7.9%96.8%104.7DULL
6LightningHurricanes1000100043121.000459001111347188141166214250.00%30100.00%0506106947.33%522111746.73%30866146.60%201121817940.0%11.8%92.7%104.4LUCKY
7LightningBlackhawks1000100043121.0004711000121348111233912415100.00%20100.00%0506106947.33%522111746.73%30866146.60%17824818957.1%11.8%92.3%104.1LUCKY
8LightningBlue Jackets3110000167-130.500681400213110137273758932144811327.27%8187.50%0506106947.33%522111746.73%30866146.60%63336029603133.3%5.9%92.1%98.1DULL
9LightningStars1000010056-110.5005914000140381313120381110125120.00%50100.00%1506106947.33%522111746.73%30866146.60%191022918840.0%13.2%84.2%97.4FUN
10LightningRed Wings20200000410-600.000459000130682223230782416355240.00%9366.67%0506106947.33%522111746.73%30866146.60%42234217351822.2%5.9%87.2%93.1Unlucky
11LightningOilers1010000012-100.00012300100041121613024136222150.00%3166.67%0506106947.33%522111746.73%30866146.60%23141881780.0%2.4%91.7%94.1DULL
12LightningPanthers2010001057-220.500581300202357212115683262627300.00%13284.62%0506106947.33%522111746.73%30866146.60%38204920361650.0%8.8%91.6%100.3DULL
13LightningKings1010000025-300.0002460000203912131404410615000.00%3166.67%0506106947.33%522111746.73%30866146.60%191125815733.3%5.1%88.6%93.8Unlucky
14LightningWild1010000023-100.000246000110333111902996162150.00%30100.00%0506106947.33%522111746.73%30866146.60%167251018825.0%6.1%89.7%95.7Unlucky
15LightningCanadiens2020000028-600.00023500011070102337070181635200.00%8187.50%0506106947.33%522111746.73%30866146.60%37194418371822.2%2.9%88.6%91.4Unlucky
16LightningPredators2000001155030.7505611001123592020187652112298112.50%7271.43%0506106947.33%522111746.73%30866146.60%43224421412157.1%8.5%92.3%100.8DULL
17LightningIslanders1000001054121.000549003012391213146421310182150.00%5180.00%0506106947.33%522111746.73%30866146.60%2213231019957.1%12.8%90.5%103.3FUN
18LightningRangers2100001074341.0007916002311582015232733014369444.44%7185.71%0506106947.33%522111746.73%30866146.60%39184520402050.0%12.1%94.5%106.6LUCKY
19LightningSenators1010000045-100.0004711002110286101203110122033100.00%6266.67%0506106947.33%522111746.73%30866146.60%201021918825.0%14.3%83.9%98.2FUN
20LightningFlyers21000010116541.000111930003251632214255722112336466.67%60100.00%0506106947.33%522111746.73%30866146.60%39214720371853.8%17.5%91.7%109.1LUCKY
21LightningCoyotes1100000043121.0004590003103051015035104225120.00%20100.00%0506106947.33%522111746.73%30866146.60%18923918950.0%13.3%91.4%104.8LUCKY
22LightningPenguins1010000045-100.0004711002200328159040154124250.00%2150.00%0506106947.33%522111746.73%30866146.60%191123816833.3%12.5%87.5%100.0FUN
23LightningSharks1010000034-100.0003690011102489703344154250.00%20100.00%0506106947.33%522111746.73%30866146.60%18921920920.0%12.5%87.9%100.4FUN
24LightningBlues2100100064241.0006814003111622622131772320374125.00%10280.00%0506106947.33%522111746.73%30866146.60%38204618351771.4%9.7%94.8%104.5LUCKY
25LightningMaple Leafs2110000043120.5004812001120582712190741814385120.00%70100.00%0506106947.33%522111746.73%30866146.60%40214217361950.0%6.9%95.9%102.8DULL
26LightningCanucks1010000024-200.0002350002003551515037281418200.00%7271.43%0506106947.33%522111746.73%30866146.60%178231019950.0%5.7%89.2%94.9Unlucky
27LightningCapitals2010000158-310.250581300131057261912271191834300.00%9366.67%0506106947.33%522111746.73%30866146.60%40214819361650.0%8.8%88.7%97.5Unlucky
28LightningKraken2010000135-210.25034700300189273228968168441000.00%4175.00%0506106947.33%522111746.73%30866146.60%47253918382042.9%3.4%92.6%96.0DULL
_Vs Division1449000103848-10100.3573865103001381634371381501496518168114236281242.86%59886.44%0506106947.33%522111746.73%30866146.60%27414531313125712339.4%8.7%90.7%99.4Unlucky
_Vs Conference26712010428085-5260.5008012520500272028982127027127727946314192438672841.79%991584.85%0506106947.33%522111746.73%30866146.60%51927858424848523742.6%9.7%91.0%100.8FUN
_Since Last GM Reset43101903254123135-12420.488123194317003832451514074404704874715475203067321173731.62%1572584.08%2506106947.33%522111746.73%30866146.60%85746196941180139443.9%8.7%91.3%100.0DULL
Total43101903254123135-12420.488123194317003832451514074404704874715475203067321173731.62%1572584.08%2506106947.33%522111746.73%30866146.60%85746196941180139443.9%8.7%91.3%100.0DULL

Puck Time
Offensive Zone 19
Neutral Zone 18
Defensive Zone 22
Puck Time
Offensive Zone Start 1069
Neutral Zone Start 661
Defensive Zone Start 1117
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 1336
Faceoffs Lost 1511
Team Average Shots after League Average Shots after
1st Period 10.29.57
2nd Period 21.220.31
3rd Period 32.530.68
Overtime 33.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.61.65
3rd Period 2.72.67
Overtime 3.02.83
Even Strenght Goal 84
PP Goal 37
PK Goal 2
Empty Net Goal 0
Home Away
Win 117
Lost 910
Overtime Lost 24
PP Attempt 117
PP Goal 37
PK Attempt 157
PK Goal Against 25
Home
Shots For 32.7
Shots Against 36.0
Goals For 2.9
Goals Against 3.1
Hits 17.0
Shots Blocked 12.1
Pim 7.1
Cap Hit
Lightning
Projected Total Cap Hit77,436,222$
Projected Cap Space5,063,778$
Retains And Buyout Cap Hit0$
Salary Cap To Date42,694,941$
Players In Salary Cap22
Contracts52/50
LTIR Players0
Lightning Roster Pos Age Cap Hit 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30
Adam Henrique C/LW326,711,111$6,711,111$ 6,711,111$ 6,711,111$ UFA
Alex Goligoski D376,500,111$6,500,111$ 6,500,111$ UFA
Andrej Sustr D323,500,000$3,500,000$ 3,500,000$ UFA
Brian Elliott G375,000,000$5,000,000$ UFA
Calvin de Haan D314,500,000$4,500,000$ 4,500,000$ 4,500,000$ 4,500,000$ UFA
Carson Meyer RW252,500,000$2,500,000$ 2,500,000$ 2,500,000$ RFA
Carter Rowney C332,500,000$2,500,000$ UFA
Darren Helm C364,000,000$4,000,000$ 4,000,000$ UFA
Jakob Silfverberg RW324,500,000$4,500,000$ 4,500,000$ 4,500,000$ UFA
Joel Teasdale LW232,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ RFA
Justin Schultz D323,000,000$3,000,000$ 3,000,000$ UFA
Kyle Okposo RW344,500,000$4,500,000$ 4,500,000$ 4,500,000$ UFA
Kyle Turris C333,500,000$3,500,000$ UFA
Michael Mersch LW301,400,000$1,400,000$ 1,400,000$ UFA
Michal Kempny D324,200,000$4,200,000$ 4,200,000$ 4,200,000$ UFA
Mike Reilly D292,000,000$2,000,000$ 2,000,000$ 2,000,000$ 2,000,000$ UFA
Nick Holden D354,000,000$4,000,000$ 4,000,000$ UFA
Radim Simek D301,125,000$1,125,000$ UFA
Ryan Donato C/LW/RW262,500,000$2,500,000$ 2,500,000$ UFA
Sam Montembeault G26975,000$975,000$ 975,000$ 975,000$ UFA
Stefan Noesen RW293,700,000$3,700,000$ 3,700,000$ 3,700,000$ UFA
Vladislav Namestnikov C304,825,000$4,825,000$ UFA
Non-Roster Pos Age Cap Hit 2022-23 2023-24 2024-25 2025-26 2026-27 2027-28 2028-29 2029-30
Adam Helewka LW271,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Alex Whelan RW251,500,000$1,500,000$ 1,500,000$ RFA
Aliaksei Protas C221,500,000$1,500,000$ 1,500,000$ 1,500,000$ RFA
Benoit-Olivier Groulx C221,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ RFA
Callahan Burke RW252,000,000$2,000,000$ 2,000,000$ 2,000,000$ UFA
Chad Krys D24950,000$950,000$ RFA
Chase DeLeo C272,500,000$2,500,000$ 2,500,000$ 2,500,000$ UFA
Connor Carrick D283,500,000$3,500,000$ 3,500,000$ UFA
David Gustafsson C22950,000$950,000$ RFA
Erik Kallgren G261,250,000$1,250,000$ RFA
Garret Sparks G292,900,000$2,900,000$ 2,900,000$ UFA
Garrett Pilon C241,000,000$1,000,000$ 1,000,000$ RFA
Jacob Friend D25975,000$975,000$ 975,000$ RFA
Jake Leschyshyn C23950,000$950,000$ RFA
Jake McLaughlin D26975,000$975,000$ 975,000$ UFA
Jansen Harkins C25950,000$950,000$ 950,000$ RFA
Jerad Rosburg D26975,000$975,000$ 975,000$ UFA
Jordan Gross D27750,000$750,000$ 750,000$ UFA
Liam Foudy C/RW22950,000$950,000$ 950,000$ RFA
Mathieu Olivier RW25550,000$600,000$ RFA
Mattias Norlinder D22975,000$975,000$ 975,000$ 975,000$ RFA
Nick Swaney RW252,500,000$2,500,000$ 2,500,000$ 2,500,000$ RFA
Nicolas Aube-Kubel RW262,000,000$2,000,000$ 2,000,000$ 2,000,000$ UFA
Stelio Mattheos RW23750,000$750,000$ 750,000$ RFA
Taylor Fedun D342,800,000$2,800,000$ 2,800,000$ 2,800,000$ UFA
Tim Schaller LW32950,000$950,000$ 950,000$ 950,000$ UFA
Troy Grosenick G331,600,000$1,600,000$ UFA
Tyce Thompson RW231,650,000$1,650,000$ 1,650,000$ 1,650,000$ RFA
Tyrell Goulbourne LW29500,000$600,000$ UFA
Yan Kuznetsov D20975,000$975,000$ 975,000$ 975,000$ RFA

Lines
Forward Lines


Adam Henrique


Vladislav Namestnikov


Jakob Silfverberg


Ryan Donato


Darren Helm


Kyle Okposo


Michael Mersch


Carter Rowney


Stefan Noesen


Joel Teasdale


Kyle Turris


Carson Meyer

Defensive Pairings


Calvin de Haan


Alex Goligoski


Mike Reilly


Michal Kempny


Radim Simek

1st Power Play Unit


Adam Henrique


Vladislav Namestnikov


Jakob Silfverberg


Alex Goligoski

2nd Power Play Unit


Ryan Donato


Darren Helm


Kyle Okposo


Alex Goligoski


Mike Reilly

Goalies
Team Stats
Filter Tips
PriorityTypeDescription
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
10textAny 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
1LightningDucks1000010023-110.500235000110399161404019420200.00%2150.00%0506106947.33%522111746.73%30866146.60%201122817850.0%5.1%92.5%97.6DULL
2LightningJets1010000012-100.000123001000259511041121013300.00%50100.00%0506106947.33%522111746.73%30866146.60%16725917833.3%4.0%95.1%99.1DULL
3LightningBruins2110000043120.5004812001120551921150673114292150.00%70100.00%0506106947.33%522111746.73%30866146.60%36184718351650.0%7.3%95.5%102.8DULL
4LightningSabres321000001512340.66715264100735010133402801154116528562.50%90100.00%0506106947.33%522111746.73%30866146.60%58326429562645.5%14.9%89.6%104.4FUN
5LightningFlames1100000031221.0003690010203813619031186162150.00%30100.00%1506106947.33%522111746.73%30866146.60%211221816766.7%7.9%96.8%104.7DULL
6LightningHurricanes1000100043121.000459001111347188141166214250.00%30100.00%0506106947.33%522111746.73%30866146.60%201121817940.0%11.8%92.7%104.4LUCKY
7LightningBlackhawks1000100043121.0004711000121348111233912415100.00%20100.00%0506106947.33%522111746.73%30866146.60%17824818957.1%11.8%92.3%104.1LUCKY
8LightningBlue Jackets3110000167-130.500681400213110137273758932144811327.27%8187.50%0506106947.33%522111746.73%30866146.60%63336029603133.3%5.9%92.1%98.1DULL
9LightningStars1000010056-110.5005914000140381313120381110125120.00%50100.00%1506106947.33%522111746.73%30866146.60%191022918840.0%13.2%84.2%97.4FUN
10LightningRed Wings20200000410-600.000459000130682223230782416355240.00%9366.67%0506106947.33%522111746.73%30866146.60%42234217351822.2%5.9%87.2%93.1Unlucky
11LightningOilers1010000012-100.00012300100041121613024136222150.00%3166.67%0506106947.33%522111746.73%30866146.60%23141881780.0%2.4%91.7%94.1DULL
12LightningPanthers2010001057-220.500581300202357212115683262627300.00%13284.62%0506106947.33%522111746.73%30866146.60%38204920361650.0%8.8%91.6%100.3DULL
13LightningKings1010000025-300.0002460000203912131404410615000.00%3166.67%0506106947.33%522111746.73%30866146.60%191125815733.3%5.1%88.6%93.8Unlucky
14LightningWild1010000023-100.000246000110333111902996162150.00%30100.00%0506106947.33%522111746.73%30866146.60%167251018825.0%6.1%89.7%95.7Unlucky
15LightningCanadiens2020000028-600.00023500011070102337070181635200.00%8187.50%0506106947.33%522111746.73%30866146.60%37194418371822.2%2.9%88.6%91.4Unlucky
16LightningPredators2000001155030.7505611001123592020187652112298112.50%7271.43%0506106947.33%522111746.73%30866146.60%43224421412157.1%8.5%92.3%100.8DULL
17LightningIslanders1000001054121.000549003012391213146421310182150.00%5180.00%0506106947.33%522111746.73%30866146.60%2213231019957.1%12.8%90.5%103.3FUN
18LightningRangers2100001074341.0007916002311582015232733014369444.44%7185.71%0506106947.33%522111746.73%30866146.60%39184520402050.0%12.1%94.5%106.6LUCKY
19LightningSenators1010000045-100.0004711002110286101203110122033100.00%6266.67%0506106947.33%522111746.73%30866146.60%201021918825.0%14.3%83.9%98.2FUN
20LightningFlyers21000010116541.000111930003251632214255722112336466.67%60100.00%0506106947.33%522111746.73%30866146.60%39214720371853.8%17.5%91.7%109.1LUCKY
21LightningCoyotes1100000043121.0004590003103051015035104225120.00%20100.00%0506106947.33%522111746.73%30866146.60%18923918950.0%13.3%91.4%104.8LUCKY
22LightningPenguins1010000045-100.0004711002200328159040154124250.00%2150.00%0506106947.33%522111746.73%30866146.60%191123816833.3%12.5%87.5%100.0FUN
23LightningSharks1010000034-100.0003690011102489703344154250.00%20100.00%0506106947.33%522111746.73%30866146.60%18921920920.0%12.5%87.9%100.4FUN
24LightningBlues2100100064241.0006814003111622622131772320374125.00%10280.00%0506106947.33%522111746.73%30866146.60%38204618351771.4%9.7%94.8%104.5LUCKY
25LightningMaple Leafs2110000043120.5004812001120582712190741814385120.00%70100.00%0506106947.33%522111746.73%30866146.60%40214217361950.0%6.9%95.9%102.8DULL
26LightningCanucks1010000024-200.0002350002003551515037281418200.00%7271.43%0506106947.33%522111746.73%30866146.60%178231019950.0%5.7%89.2%94.9Unlucky
27LightningCapitals2010000158-310.250581300131057261912271191834300.00%9366.67%0506106947.33%522111746.73%30866146.60%40214819361650.0%8.8%88.7%97.5Unlucky
28LightningKraken2010000135-210.25034700300189273228968168441000.00%4175.00%0506106947.33%522111746.73%30866146.60%47253918382042.9%3.4%92.6%96.0DULL
_Vs Division1449000103848-10100.3573865103001381634371381501496518168114236281242.86%59886.44%0506106947.33%522111746.73%30866146.60%27414531313125712339.4%8.7%90.7%99.4Unlucky
_Vs Conference26712010428085-5260.5008012520500272028982127027127727946314192438672841.79%991584.85%0506106947.33%522111746.73%30866146.60%51927858424848523742.6%9.7%91.0%100.8FUN
_Since Last GM Reset43101903254123135-12420.488123194317003832451514074404704874715475203067321173731.62%1572584.08%2506106947.33%522111746.73%30866146.60%85746196941180139443.9%8.7%91.3%100.0DULL
Total43101903254123135-12420.488123194317003832451514074404704874715475203067321173731.62%1572584.08%2506106947.33%522111746.73%30866146.60%85746196941180139443.9%8.7%91.3%100.0DULL

Puck Time
Offensive Zone 19
Neutral Zone 18
Defensive Zone 22
Puck Time
Offensive Zone Start 1069
Neutral Zone Start 661
Defensive Zone Start 1117
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 1336
Faceoffs Lost 1511
Team Average Shots after League Average Shots after
1st Period 10.29.57
2nd Period 21.220.31
3rd Period 32.530.68
Overtime 33.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.61.65
3rd Period 2.72.67
Overtime 3.02.83
Even Strenght Goal 84
PP Goal 37
PK Goal 2
Empty Net Goal 0
Home Away
Win 117
Lost 910
Overtime Lost 24
PP Attempt 117
PP Goal 37
PK Attempt 157
PK Goal Against 25
Home
Shots For 32.7
Shots Against 36.0
Goals For 2.9
Goals Against 3.1
Hits 17.0
Shots Blocked 12.1
Pim 7.1
Schedule
DateMatchup Result Detail
Wed, Oct 26LightningTAM@LightningNYRTAM4,NYR2RECAP
Sat, Oct 29LightningTAM@LightningCLBTAM2,CLB1RECAP
Sun, Oct 30LightningTAM@LightningPITTAM4,PIT5RECAP
Wed, Nov 2LightningPHI@LightningTAMPHI4,TAM5 (SO)RECAP
Sat, Nov 5LightningTAM@LightningFLOTAM1,FLO4RECAP
Sun, Nov 6LightningNYI@LightningTAMNYI4,TAM5 (SO)RECAP
Wed, Nov 9LightningTAM@LightningLOSTAM2,LOS5RECAP
Thu, Nov 10LightningTAM@LightningANATAM2,ANA3 (OT)RECAP
Sun, Nov 13LightningTAM@LightningSJ TAM3,SJ 4RECAP
Wed, Nov 16LightningOTT@LightningTAMOTT5,TAM4RECAP
Fri, Nov 18LightningCAR@LightningTAMCAR3,TAM4 (OT)RECAP
Sun, Nov 20LightningBUF@LightningTAMBUF3,TAM5RECAP
Wed, Nov 23LightningEDM@LightningTAMEDM2,TAM1RECAP
Sat, Nov 26LightningTAM@LightningWASTAM3,WAS4 (SO)RECAP
Mon, Nov 28LightningWAS@LightningTAMWAS4,TAM2RECAP
Wed, Nov 30LightningDAL@LightningTAMDAL6,TAM5 (OT)RECAP
Fri, Dec 2LightningCAL@LightningTAMCAL1,TAM3RECAP
Sun, Dec 4LightningTAM@LightningNASTAM2,NAS3 (SO)RECAP
Tue, Dec 6LightningBOS@LightningTAMBOS1,TAM4RECAP
Sat, Dec 10LightningSTL@LightningTAMSTL2,TAM3 (OT)RECAP
Tue, Dec 13LightningTAM@LightningBUFTAM7,BUF5RECAP
Wed, Dec 14LightningTAM@LightningBOSTAM0,BOS2RECAP
Fri, Dec 16LightningTAM@LightningPHITAM6,PHI2RECAP
Sun, Dec 18LightningTOR@LightningTAMTOR2,TAM1RECAP
Wed, Dec 21LightningDET@LightningTAMDET3,TAM1RECAP
Fri, Dec 23LightningNAS@LightningTAMNAS2,TAM3 (SO)RECAP
Sun, Dec 25LightningFLO@LightningTAMFLO3,TAM4 (SO)RECAP
Wed, Dec 28LightningSEA@LightningTAMSEA3,TAM2RECAP
Fri, Dec 30LightningCLB@LightningTAMCLB3,TAM2 (SO)RECAP
Sun, Jan 1LightningTAM@LightningMTLTAM1,MTL4RECAP
Wed, Jan 4LightningTAM@LightningTORTAM3,TOR1RECAP
Thu, Jan 5LightningTAM@LightningDETTAM3,DET7RECAP
Sat, Jan 7LightningTAM@LightningBUFTAM3,BUF4RECAP
Thu, Jan 12LightningMTL@LightningTAMMTL4,TAM1RECAP
Fri, Jan 13LightningNYR@LightningTAMNYR2,TAM3 (SO)RECAP
Sun, Jan 15LightningPHO@LightningTAMPHO3,TAM4RECAP
Wed, Jan 18LightningTAM@LightningCHITAM4,CHI3 (OT)RECAP
Thu, Jan 19LightningTAM@LightningMINTAM2,MIN3RECAP
Sat, Jan 21LightningTAM@LightningWPGTAM1,WPG2RECAP
Wed, Jan 25LightningCLB@LightningTAMCLB3,TAM2RECAP
Fri, Jan 27LightningVAN@LightningTAMVAN4,TAM2RECAP
Sun, Jan 29LightningTAM@LightningSTLTAM3,STL2RECAP
Tue, Jan 31LightningTAM@LightningSEATAM1,SEA2 (SO)RECAP
Thu, Feb 2LightningTAM@LightningVAN
Fri, Feb 3LightningTAM@LightningEDM
Sun, Feb 5LightningTAM@LightningCAL
Wed, Feb 8LightningMIN@LightningTAM
Fri, Feb 10LightningBOS@LightningTAM
Sun, Feb 12LightningLOS@LightningTAM
Tue, Feb 21LightningTAM@LightningFLO
Wed, Feb 22LightningSJ @LightningTAM
Fri, Feb 24LightningCOL@LightningTAM
Sun, Feb 26LightningTAM@LightningDAL
Wed, Mar 1LightningTAM@LightningCOL
Thu, Mar 2LightningTAM@LightningPHO
Sun, Mar 5LightningTAM@LightningGKV
Wed, Mar 8LightningANA@LightningTAM
Fri, Mar 10LightningBUF@LightningTAM
Sun, Mar 12LightningTAM@LightningDET
Mon, Mar 13LightningTAM@LightningPIT
Wed, Mar 15LightningFLO@LightningTAM
Fri, Mar 17LightningPIT@LightningTAM
Mon, Mar 20LightningTAM@LightningCAR
Wed, Mar 22LightningPHI@LightningTAM
Fri, Mar 24LightningGKV@LightningTAM
Sun, Mar 26LightningCHI@LightningTAM
Mon, Mar 27LightningWPG@LightningTAM
Wed, Mar 29LightningTAM@LightningNJD
Fri, Mar 31LightningTAM@LightningNJD
Sun, Apr 2LightningMTL@LightningTAM
Mon, Apr 3LightningNJD@LightningTAM
Wed, Apr 5LightningTAM@LightningMTL
Trade Deadline --- Trades cant be done after this day is simulated!
Fri, Apr 7LightningTAM@LightningOTT
Sun, Apr 9LightningTAM@LightningBOS
Wed, Apr 12LightningTAM@LightningCAR
Fri, Apr 14LightningWAS@LightningTAM
Sun, Apr 16LightningNYI@LightningTAM
Thu, Apr 20LightningTAM@LightningNYR
Fri, Apr 21LightningTAM@LightningNYI
Sun, Apr 23LightningTAM@LightningOTT
Wed, Apr 26LightningTOR@LightningTAM
Fri, Apr 28LightningDET@LightningTAM

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
77,436,222$ 0$ 77,436,222$ 5,063,778$

ArenaGoal HornAbout us
NameSt Pete Times Forum
CityTampa Bay
Capacity19758
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000375840001000
Ticket Price75$47$22$15$175$
Attendance131071107910789188737121674
Attendance PCT99.30%98.10%95.45%99.29%98.52%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
19 19407 - 98.22% 1,284,743$28,264,349$19758100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
77,436,222$ 77,436,222$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
42,964,797$ 77,436,222$ 42,694,941$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
24,410,120$ 87 412,361$ 35,875,407$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
37,647,951$ 77,436,222$ 9,858,687$ -3,379,144$
Depth Chart Rising Star Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Adam HenriqueAGE:32LightningCAN
Ryan DonatoAGE:26LightningUSA
Joel TeasdaleAGE:23LightningCAN
Adam HelewkaAGE:27LightningCAN
Michael MerschAGE:30LightningUSA
Tim SchallerAGE:32LightningUSA
Tyrell GoulbourneAGE:29LightningCAN
Adam HenriqueAGE:32LightningCAN
Vladislav NamestnikovAGE:30LightningRUS
Darren HelmAGE:36LightningCAN
Kyle TurrisAGE:33LightningCAN
Carter RowneyAGE:33LightningCAN
Ryan DonatoAGE:26LightningUSA
Chase DeLeoAGE:27LightningUSA
Aliaksei ProtasAGE:22LightningBLR
Garrett PilonAGE:24LightningCAN
Benoit-Olivier GroulxAGE:22LightningCAN
David GustafssonAGE:22LightningSWE
Jake LeschyshynAGE:23LightningUSA
Liam FoudyAGE:22LightningCAN
Jansen HarkinsAGE:25LightningCAN
Kyle OkposoAGE:34LightningUSA
Jakob SilfverbergAGE:32LightningSWE
Stefan NoesenAGE:29LightningUSA
Ryan DonatoAGE:26LightningUSA
Carson MeyerAGE:25LightningUSA
Nick SwaneyAGE:25LightningUSA
Nicolas Aube-KubelAGE:26LightningCAN
Callahan BurkeAGE:25LightningUSA
Tyce ThompsonAGE:23LightningCAN
Alex WhelanAGE:25LightningUSA
Liam FoudyAGE:22LightningCAN
Stelio MattheosAGE:23LightningCAN
Mathieu OlivierAGE:25LightningUSA

Defense #1Defense #2Goalie
Alex GoligoskiAGE:37LightningUSA
Calvin de HaanAGE:31LightningCAN
Michal KempnyAGE:32LightningCZE
Nick HoldenAGE:35LightningCAN
Andrej SustrAGE:32LightningCZE
Connor CarrickAGE:28LightningUSA
Justin SchultzAGE:32LightningCAN
Taylor FedunAGE:34LightningCAN
Mike ReillyAGE:29LightningUSA
Radim SimekAGE:30LightningCZE
Jerad RosburgAGE:26LightningUSA
Mattias NorlinderAGE:22LightningSWE
Yan KuznetsovAGE:20LightningRUS
Jake McLaughlinAGE:26LightningUSA
Jacob FriendAGE:25LightningCAN
Chad KrysAGE:24LightningUSA
Jordan GrossAGE:27LightningUSA
Brian ElliottAGE:37LightningCAN
Garret SparksAGE:29LightningUSA
Troy GrosenickAGE:33LightningUSA
Erik KallgrenAGE:26LightningSWE
Sam MontembeaultAGE:26LightningCAN

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2023
2024
2025
2026
2027

** Conditional Draft Pick That Have Been Traded
Prospects
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Alexis GravelLightningLightning2018136
Cedrick GuindonLightningLightning2022105
Chase PerryLightningLightning2014146
Daemon HuntLightningLightning202078
Elliot DesnoyersLightningLightning2020168
Ethan PhillipsLightningLightning2019123
Hardy Haman-AktellLightningLightning2016145
Jack GloverLightningLightning201466
Jack SmithLightningLightning2020126
Jaden LindoLightningLightning2014176
Jonny TychonickLightningLightning201851
Justin ErtelLightningLightning202185
Keegan IversonLightningLightning
Matthew BradleyLightningLightning2015118
Mike RobinsonLightningLightning201596
Philip LaneLightningLightning
Philip NybergLightningLightning2016175
Radim SaldaLightningLightning2018211
Robert OrrLightningLightning2021137
Shawn BoudriasLightningLightning2018158
Steven SpinnerLightningLightning2014206
Veeti VainioLightningLightning2015178
Xavier SimoneauLightningLightning2019102
Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2023
2024
2025
2026
2027

** Conditional Draft Pick That Have Been Traded
Prospects
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Alexis GravelLightningLightning2018136
Cedrick GuindonLightningLightning2022105
Chase PerryLightningLightning2014146
Daemon HuntLightningLightning202078
Elliot DesnoyersLightningLightning2020168
Ethan PhillipsLightningLightning2019123
Hardy Haman-AktellLightningLightning2016145
Jack GloverLightningLightning201466
Jack SmithLightningLightning2020126
Jaden LindoLightningLightning2014176
Jonny TychonickLightningLightning201851
Justin ErtelLightningLightning202185
Keegan IversonLightningLightning
Matthew BradleyLightningLightning2015118
Mike RobinsonLightningLightning201596
Philip LaneLightningLightning
Philip NybergLightningLightning2016175
Radim SaldaLightningLightning2018211
Robert OrrLightningLightning2021137
Shawn BoudriasLightningLightning2018158
Steven SpinnerLightningLightning2014206
Veeti VainioLightningLightning2015178
Xavier SimoneauLightningLightning2019102
News























































Injuries
No Injury or Suspension.

Game Center

Lightning18-19-6, 42pts32Final
Blues26-11-8, 60pts

Lightning18-19-6, 42pts12Final
Kraken19-18-6, 44pts

Lightning18-19-6, 42ptsThu, Feb 02General Motors Place
Canucks20-19-4, 44pts

Lightning18-19-6, 42ptsFri, Feb 03Rexall Place
Oilers22-15-8, 52pts

Lightning18-19-6, 42ptsSun, Feb 05Pengrowth Saddledome
Flames11-32-2, 24pts

Team Leaders

GOALS
Adam Henrique
19
ASSISTS
Vladislav Namestnikov
27
POINTS
Adam Henrique
43
PLUS/MINUS
Vladislav Namestnikov
6
WINS
Brian Elliott
11
SV%
Sam Montembeault
0.923

Team Stats


Goals For
123
2.86 GFG
Shots For
1407
32.72 Avg
Power Play Percentage
31.6%
37 GF
Offensive Zone Start
48.9%
Goals Against
135
3.14 GAA
Shots Against
1547
35.98 Avg
Penalty Kill Percentage
84.1%
25 GA
Defensive Zone Start
51.1%

Injury status

Player POS Status Injury Out For Expected Return
 

Tampa Bay Lightning Info

Lightning
General ManagerLuc Clement
Head CoachJacques Martin
ConferenceEastern Conference
DivisionAtlantic Division

AHL Affiliation

Lightning
Team NameCrunch
CitySyracuse
Head CoachPascal Vincent
DivisionNortheast Division

Team Jerseys

Lightning Lightning Lightning
Home Away Alternate

Arena Info

StadiumSt Pete Times Forum
Capacity19,758
Attendance19,407
Season Tickets7,903

Roster Info

Active Roster22/23
Contract Limit52/50
Prospects & Player's Rights23
Reserve List75/90

Salary Cap

Total Cap Hit77,436,222$
Cap Hit Percentage93.86%
Projected Cap Space5,063,778$
Retains & Buyout0$

Finance

Team Revenue28,264,349$
Estimated Revenue52,674,469$
Estimated Expenses78,840,204$
Operating Income-26,165,735$
Bank Account9,858,687$

Tickets

Section 10075$ | 99.30%
Section 20047$ | 98.10%
Section 30022$ | 95.45%
Section 40015$ | 99.29%
Suites175$ | 98.52%

Team History

Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft