LightningTampa Bay Lightning
9-8-0, 18pts · 13th in Conference Est
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Aleksander Barkov0C100.00593588868695958590867884826760885077235,900,000$/3yrs
Brad Marchand0LW100.00624464886692928770887971837763515075306,125,000$/4yrs
Boone Jenner0C/LW100.00793573728287907190706981706755735070253,750,000$/4yrs
Evgenii Dadonov0LW/RW100.00603580796990957864787568775858525070294,000,000$/2yrs
Zach Hyman0LW/RW100.00724767737987847273707378736053505069262,250,000$/3yrs
Adam Lowry0C100.00894775679182916690656780676454635068252,916,666$/3yrs
Loui Eriksson0LW/RW100.00553573697681946860686668678761415066336,000,000$/4yrs
Drake Caggiula0C/LW/RW100.00844471706682686962676968695752425065241,500,000$/1yrs
William Nylander0RW100.005935787273846771797366646960538650652210,277,778$/1yrs
Michael Raffl0LW100.00723570677478806664666469656655345064292,350,000$/1yrs
Melker Karlsson0C/LW/RW100.00653572657078926470626671656354365064282,000,000$/2yrs
Filip Chytil0C100.00603575688282886768666657675351845063191,275,000$/2yrs
Robert Hagg0D100.00923868668179956530686376645652725069231,150,000$/2yrs
Jordie Benn0D100.00734174668082946630696376656956275069311,100,000$/1yrs
Mike Green0D100.00723580747989567330806664708365425068325,375,000$/1yrs
Kevin Connauton0D100.00813577648182636430666177636254525066281,375,000$/1yrs
Mirco Mueller0D100.0072417865858166653068616963555281506523850,000$/1yrs
Korbinian Holzer0D100.0079357763876861633062596860565247506330900,000$/1yrs
Scratches
Greg McKegg0C100.0058357368736585687561636065555257506126715,000$/1yrs
Radim Simek0D100.0074358065727754653068616263525137506126675,000$/1yrs
Luca Sbisa0D100.00723581588477545830595859587056675060281,500,000$/1yrs
Jan Rutta0D100.00613575658366686530626058625451365060282,250,000$/1yrs
TEAM AVERAGE100.00703875707881796956696669686355555066
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Semyon Varlamov0100.0088889281878688878687808486635083305,900,000$/1yrs
Carter Hutton0100.0086899374858486858485786475235080322,750,000$/3yrs
Scratches
TEAM AVERAGE100.0087899378868587868586797481435082
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Chris Kunitz0LW100.00734168657273696458636461649162152861391,000,000$/1yrs
Michael Amadio0C100.0057357469786584687063636065535163606122925,000$/1yrs
Corban Knight0C100.0059357562796861617360596760525146285828650,000$/1yrs
Nicolas Aube-Kubel0RW100.0053355968705254685062625162505072665622680,333$/1yrs
Jaycob Megna0D100.0068357364976164643057565957525142615925925,000$/1yrs
Scratches
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Francis Bourque
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 AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Aleksander BarkovLightningLightning0C1751217000217620426.58%1123.70281057011651053.11%610168000.8400
2Brad MarchandLightningLightning0LW17971602203367264613.43%1022.35641057101432138.89%18228000.8400
3Evgenii DadonovLightningLightning0LW/RW17391214011388267.89%1119.0623553011180038.71%3196000.7400
4Boone JennerLightningLightning0C/LW1756110802645112411.11%818.1403344112442046.75%77123000.7100
5Zach HymanLightningLightning0LW/RW17459-2140235522347.27%915.9301135000231123.53%17114000.6600
6Adam LowryLightningLightning0C1726802018244168.33%214.620009202260056.17%16235000.6400
7Jordie BennLightningLightning0D17347012030218714.29%2324.911234100062210.00%0311000.3300
8Drake CaggiulaLightningLightning0C/LW/RW171340180222911243.45%615.641014400070036.59%8248000.3000
9Kevin ConnautonLightningLightning0D17134-16020127138.33%2821.681234200051100.00%0011000.2200
10Michael RafflLightningLightning0LW1703328012255110.00%37.30000000010050.00%622000.4800
11Robert HaggLightningLightning0D171231140311710125.88%2225.581015001161000.00%0611000.1400
12Melker KarlssonLightningLightning0C/LW/RW172132206135715.38%37.27000100000033.33%1223000.4900
13Loui ErikssonLightningLightning0LW/RW17123-31408215114.76%1113.730221400000046.67%1535000.2600
14Mirco MuellerLightningLightning0D1702258074240.00%1413.35000001122000.00%014000.1800
15Mike GreenLightningLightning0D17112-21551214887.14%1421.190005000028000.00%089000.1100
16Filip ChytilLightningLightning0C171121004217144.76%25.21000000000040.00%3543000.4500
17William NylanderLightningLightning0RW17011-12093015170.00%411.05000800000050.00%1062000.1100
18Korbinian HolzerLightningLightning0D17000220129320.00%1612.4300000006000.00%014000.0000
Team Total or Average3063968107515153055211773187.49%19716.291425395114594649349.95%1075113107000.4300
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
1Semyon VarlamovLightningLightning137500.9282.177192026360159000.0000125320
2Carter HuttonLightningLightning62300.9172.59301001315768010.0000512011
Team Total or Average199800.9252.2910202039517227010.00001717331
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
1LightningBruins1100000031221.00036900021033119130261010184375.00%50100.00%020742748.48%21542650.47%11522251.80%20112291670.0%9.1%96.2%105.2LUCKY
2LightningCanadiens1010000023-100.00023500011025510100281012282150.00%6266.67%120742748.48%21542650.47%11522251.80%211119919950.0%8.0%89.3%97.3Unlucky
3LightningPenguins1010000023-100.000235001100306101403691421400.00%7185.71%120742748.48%21542650.47%11522251.80%201021918950.0%6.7%91.7%98.3DULL
4LightningPredators1010000002-200.000000000000203134024171022400.00%50100.00%020742748.48%21542650.47%11522251.80%20919101990.0%0.0%91.7%91.7DULL
5LightningRangers2020000036-300.000347101200672135110601924308225.00%12375.00%020742748.48%21542650.47%11522251.80%42244318341625.0%4.5%90.0%94.5Unlucky
6LightningJets1100000021121.0002460002003515101003212219300.00%10100.00%020742748.48%21542650.47%11522251.80%211221817966.7%5.7%96.9%102.6DULL
7LightningAvalanche1100000032121.0003580001203210814032106173133.33%30100.00%020742748.48%21542650.47%11522251.80%201222917850.0%9.4%93.8%103.1LUCKY
8LightningMaple Leafs1010000013-200.0001120000102971210034121011500.00%5260.00%020742748.48%21542650.47%11522251.80%221220917850.0%3.4%91.2%94.6DULL
9LightningDevils1000100021121.00024600100132121172301741911100.00%20100.00%020742748.48%21542650.47%11522251.80%231521817850.0%6.3%96.7%102.9DULL
10LightningHurricanes1010000024-200.0002240002003751913030111920600.00%7442.86%220742748.48%21542650.47%11522251.80%2314199168100.0%5.4%86.7%92.1Unlucky
11LightningSabres2200000063341.00061117001320521419190622684410440.00%40100.00%020742748.48%21542650.47%11522251.80%41234319351740.0%11.5%95.2%106.7LUCKY
12LightningSenators1100000021121.000235000110357919032154123133.33%2150.00%020742748.48%21542650.47%11522251.80%2012228168100.0%5.7%96.9%102.6DULL
13LightningIslanders1010000025-300.000246001010321481003011415500.00%2150.00%020742748.48%21542650.47%11522251.80%231419816933.3%6.3%83.3%89.6Unlucky
14LightningPanthers2200000095441.00091827000360622112290621826296116.67%13376.92%020742748.48%21542650.47%11522251.80%42244418331680.0%14.5%91.9%106.5LUCKY
_Vs Division8620000023167120.75023426500110120236657110002449170142301033.33%35877.14%120742748.48%21542650.47%11522251.80%16895173731376861.9%9.7%93.4%103.2LUCKY
_Vs Conference1467010003435-1140.500345993105151314341231541552430158135247541324.07%651773.85%420742748.48%21542650.47%11522251.80%30217529812824111953.8%7.8%91.9%99.7DULL
_Since Last GM Reset1788010003940-1180.5293968107105181515211511851832518197153305641421.88%741777.03%420742748.48%21542650.47%11522251.80%36420936115629514752.1%7.5%92.3%99.8DULL
Total1788010003940-1180.5293968107105181515211511851832518197153305641421.88%741777.03%420742748.48%21542650.47%11522251.80%36420936115629514752.1%7.5%92.3%99.8DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 427
Neutral Zone Start 222
Defensive Zone Start 426
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 537
Faceoffs Lost 538
Team Average Shots after League Average Shots after
1st Period 8.99.57
2nd Period 19.820.31
3rd Period 30.530.68
Overtime 30.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 1.41.65
3rd Period 2.22.67
Overtime 2.32.83
Even Strenght Goal 20
PP Goal 14
PK Goal 4
Empty Net Goal 1
Home Away
Win 45
Lost 35
Overtime Lost 00
PP Attempt 64
PP Goal 14
PK Attempt 74
PK Goal Against 17
Home
Shots For 30.6
Shots Against 30.5
Goals For 2.3
Goals Against 2.4
Hits 17.9
Shots Blocked 11.6
Pim 9.0
Cap Hit
Lightning
Projected Total Cap Hit72,884,444$
Projected Cap Space6,615,556$
Retains And Buyout Cap Hit0$
Salary Cap To Date18,417,044$
Players In Salary Cap24
LTIR Players0
Lightning Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Adam Lowry C252,916,666$2,916,666$ 2,916,666$ 2,916,666$
Aleksander Barkov C235,900,000$5,900,000$ 5,900,000$ 5,900,000$
Boone Jenner C/LW253,750,000$3,750,000$ 3,750,000$ 3,750,000$ 3,750,000$
Brad Marchand LW306,125,000$6,125,000$ 6,125,000$ 6,125,000$ 6,125,000$
Carter Hutton G322,750,000$2,750,000$ 2,750,000$ 2,750,000$
Drake Caggiula C/LW/RW241,500,000$1,500,000$
Evgenii Dadonov LW/RW294,000,000$4,000,000$ 4,000,000$
Filip Chytil C191,275,000$1,275,000$ 1,275,000$
Greg McKegg C26715,000$715,000$
Jan Rutta D282,250,000$2,250,000$
Jordie Benn D311,100,000$1,100,000$
Kevin Connauton D281,375,000$1,375,000$
Korbinian Holzer D30900,000$900,000$
Loui Eriksson LW/RW336,000,000$6,000,000$ 6,000,000$ 6,000,000$ 6,000,000$
Luca Sbisa D281,500,000$1,500,000$
Melker Karlsson C/LW/RW282,000,000$2,000,000$ 2,000,000$
Michael Raffl LW292,350,000$2,350,000$
Mike Green D325,375,000$5,375,000$
Mirco Mueller D23850,000$850,000$
Radim Simek D26675,000$675,000$
Robert Hagg D231,150,000$1,150,000$ 1,150,000$
Semyon Varlamov G305,900,000$5,900,000$
William Nylander RW2210,277,778$10,277,778$
Zach Hyman LW/RW262,250,000$2,250,000$ 2,250,000$ 2,250,000$

Lines
Forward Lines


#0 - Brad Marchand


#0 - Aleksander Barkov


#0 - Evgenii Dadonov


#0 - Boone Jenner


#0 - Adam Lowry


#0 - Zach Hyman


#0 - Loui Eriksson


#0 - Drake Caggiula


#0 - William Nylander


#0 - Michael Raffl


#0 - Filip Chytil


#0 - Melker Karlsson

Defensive Pairings


#0 - Robert Hagg


#0 - Jordie Benn


#0 - Mike Green


#0 - Kevin Connauton


#0 - Mirco Mueller


#0 - Korbinian Holzer

1st Power Play Unit


#0 - Brad Marchand


#0 - Aleksander Barkov


#0 - Evgenii Dadonov


#0 - Robert Hagg


#0 - Jordie Benn

2nd Power Play Unit


#0 - Zach Hyman


#0 - Boone Jenner


#0 - Drake Caggiula


#0 - Mike Green


#0 - Kevin Connauton

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
1LightningBruins1100000031221.00036900021033119130261010184375.00%50100.00%020742748.48%21542650.47%11522251.80%20112291670.0%9.1%96.2%105.2LUCKY
2LightningCanadiens1010000023-100.00023500011025510100281012282150.00%6266.67%120742748.48%21542650.47%11522251.80%211119919950.0%8.0%89.3%97.3Unlucky
3LightningPenguins1010000023-100.000235001100306101403691421400.00%7185.71%120742748.48%21542650.47%11522251.80%201021918950.0%6.7%91.7%98.3DULL
4LightningPredators1010000002-200.000000000000203134024171022400.00%50100.00%020742748.48%21542650.47%11522251.80%20919101990.0%0.0%91.7%91.7DULL
5LightningRangers2020000036-300.000347101200672135110601924308225.00%12375.00%020742748.48%21542650.47%11522251.80%42244318341625.0%4.5%90.0%94.5Unlucky
6LightningJets1100000021121.0002460002003515101003212219300.00%10100.00%020742748.48%21542650.47%11522251.80%211221817966.7%5.7%96.9%102.6DULL
7LightningAvalanche1100000032121.0003580001203210814032106173133.33%30100.00%020742748.48%21542650.47%11522251.80%201222917850.0%9.4%93.8%103.1LUCKY
8LightningMaple Leafs1010000013-200.0001120000102971210034121011500.00%5260.00%020742748.48%21542650.47%11522251.80%221220917850.0%3.4%91.2%94.6DULL
9LightningDevils1000100021121.00024600100132121172301741911100.00%20100.00%020742748.48%21542650.47%11522251.80%231521817850.0%6.3%96.7%102.9DULL
10LightningHurricanes1010000024-200.0002240002003751913030111920600.00%7442.86%220742748.48%21542650.47%11522251.80%2314199168100.0%5.4%86.7%92.1Unlucky
11LightningSabres2200000063341.00061117001320521419190622684410440.00%40100.00%020742748.48%21542650.47%11522251.80%41234319351740.0%11.5%95.2%106.7LUCKY
12LightningSenators1100000021121.000235000110357919032154123133.33%2150.00%020742748.48%21542650.47%11522251.80%2012228168100.0%5.7%96.9%102.6DULL
13LightningIslanders1010000025-300.000246001010321481003011415500.00%2150.00%020742748.48%21542650.47%11522251.80%231419816933.3%6.3%83.3%89.6Unlucky
14LightningPanthers2200000095441.00091827000360622112290621826296116.67%13376.92%020742748.48%21542650.47%11522251.80%42244418331680.0%14.5%91.9%106.5LUCKY
_Vs Division8620000023167120.75023426500110120236657110002449170142301033.33%35877.14%120742748.48%21542650.47%11522251.80%16895173731376861.9%9.7%93.4%103.2LUCKY
_Vs Conference1467010003435-1140.500345993105151314341231541552430158135247541324.07%651773.85%420742748.48%21542650.47%11522251.80%30217529812824111953.8%7.8%91.9%99.7DULL
_Since Last GM Reset1788010003940-1180.5293968107105181515211511851832518197153305641421.88%741777.03%420742748.48%21542650.47%11522251.80%36420936115629514752.1%7.5%92.3%99.8DULL
Total1788010003940-1180.5293968107105181515211511851832518197153305641421.88%741777.03%420742748.48%21542650.47%11522251.80%36420936115629514752.1%7.5%92.3%99.8DULL

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 427
Neutral Zone Start 222
Defensive Zone Start 426
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 537
Faceoffs Lost 538
Team Average Shots after League Average Shots after
1st Period 8.99.57
2nd Period 19.820.31
3rd Period 30.530.68
Overtime 30.631.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 1.41.65
3rd Period 2.22.67
Overtime 2.32.83
Even Strenght Goal 20
PP Goal 14
PK Goal 4
Empty Net Goal 1
Home Away
Win 45
Lost 35
Overtime Lost 00
PP Attempt 64
PP Goal 14
PK Attempt 74
PK Goal Against 17
Home
Shots For 30.6
Shots Against 30.5
Goals For 2.3
Goals Against 2.4
Hits 17.9
Shots Blocked 11.6
Pim 9.0
Schedule
DateMatchup Result Detail
2019-10-04LightningPanthers@LightningLightningPanthers3,Lightning5RECAP
2019-10-06LightningLightning@LightningPanthersLightning4,Panthers2RECAP
2019-10-07LightningLightning@LightningHurricanesLightning2,Hurricanes4RECAP
2019-10-11LightningLightning@LightningMaple LeafsLightning1,Maple Leafs3RECAP
2019-10-13LightningLightning@LightningSenatorsLightning2,Senators1RECAP
2019-10-16LightningLightning@LightningCanadiensLightning2,Canadiens3RECAP
2019-10-18LightningLightning@LightningBruinsLightning3,Bruins1RECAP
2019-10-20LightningAvalanche@LightningLightningAvalanche2,Lightning3RECAP
2019-10-24LightningPenguins@LightningLightningPenguins3,Lightning2RECAP
2019-10-27LightningPredators@LightningLightningPredators2,Lightning0RECAP
2019-10-30LightningLightning@LightningRangersLightning2,Rangers3RECAP
2019-10-31LightningLightning@LightningDevilsLightning2,Devils1 (OT)RECAP
2019-11-02LightningLightning@LightningIslandersLightning2,Islanders5RECAP
2019-11-09LightningLightning@LightningSabresLightning3,Sabres1RECAP
2019-11-10LightningSabres@LightningLightningSabres2,Lightning3RECAP
2019-11-15LightningRangers@LightningLightningRangers3,Lightning1RECAP
2019-11-17LightningJets@LightningLightningJets1,Lightning2RECAP
2019-11-20LightningLightning@LightningBlues
2019-11-22LightningLightning@LightningBlackhawks
2019-11-24LightningDucks@LightningLightning
2019-11-26LightningSabres@LightningLightning
2019-11-28LightningBlues@LightningLightning
2019-11-30LightningLightning@LightningCapitals
2019-12-01LightningHurricanes@LightningLightning
2019-12-04LightningLightning@LightningPredators
2019-12-06LightningWild@LightningLightning
2019-12-08LightningSharks@LightningLightning
2019-12-10LightningIslanders@LightningLightning
2019-12-11LightningLightning@LightningPanthers
2019-12-13LightningBruins@LightningLightning
2019-12-15LightningCapitals@LightningLightning
2019-12-18LightningSenators@LightningLightning
2019-12-20LightningStars@LightningLightning
2019-12-22LightningLightning@LightningCapitals
2019-12-24LightningPanthers@LightningLightning
2019-12-29LightningCanadiens@LightningLightning
2019-12-30LightningRed Wings@LightningLightning
2020-01-01LightningLightning@LightningSabres
2020-01-03LightningLightning@LightningCanadiens
2020-01-05LightningLightning@LightningSenators
2020-01-06LightningLightning@LightningHurricanes
2020-01-08LightningCanucks@LightningLightning
2020-01-10LightningCoyotes@LightningLightning
2020-01-12LightningLightning@LightningFlyers
2020-01-13LightningLightning@LightningDevils
2020-01-15LightningKings@LightningLightning
2020-01-17LightningLightning@LightningWild
2020-01-18LightningLightning@LightningJets
2020-01-28LightningLightning@LightningStars
2020-01-30LightningLightning@LightningKings
2020-02-01LightningLightning@LightningDucks
2020-02-02LightningLightning@LightningSharks
2020-02-05LightningGolden Knights@LightningLightning
2020-02-07LightningPenguins@LightningLightning
2020-02-09LightningIslanders@LightningLightning
2020-02-11LightningLightning@LightningBlue Jackets
2020-02-12LightningLightning@LightningPenguins
2020-02-14LightningOilers@LightningLightning
2020-02-16LightningFlyers@LightningLightning
2020-02-18LightningLightning@LightningAvalanche
2020-02-21LightningLightning@LightningGolden Knights
2020-02-23LightningLightning@LightningCoyotes
2020-02-26LightningMaple Leafs@LightningLightning
2020-02-28LightningBlackhawks@LightningLightning
2020-03-01LightningFlames@LightningLightning
2020-03-04LightningBruins@LightningLightning
2020-03-06LightningCanadiens@LightningLightning
2020-03-08LightningLightning@LightningBruins
2020-03-09LightningLightning@LightningRed Wings
2020-03-11LightningLightning@LightningMaple Leafs
2020-03-13LightningFlyers@LightningLightning
2020-03-15LightningRed Wings@LightningLightning
2020-03-16LightningDevils@LightningLightning
2020-03-19LightningLightning@LightningCanucks
2020-03-21LightningLightning@LightningOilers
2020-03-22LightningLightning@LightningFlames
2020-03-26LightningMaple Leafs@LightningLightning
2020-03-28LightningBlue Jackets@LightningLightning
2020-03-29LightningRangers@LightningLightning
2020-04-01LightningSenators@LightningLightning
2020-04-03LightningLightning@LightningBlue Jackets
2020-04-05LightningLightning@LightningRed Wings

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
72,884,444$ 0$ 72,884,444$ 6,615,556$

ArenaGoal HornAbout us
NameST Petes Times Forum
CityTampa Bay
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance395873352613308266266741
Attendance PCT94.25%95.79%95.06%95.09%96.30%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
34 17113 - 95.07% 605,935$4,241,548$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
72,884,444$ 72,884,444$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
18,417,044$ 72,884,444$ 18,417,044$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
20,601,805$ 139 391,852$ 54,467,428$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
57,894,820$ 72,884,444$ -306,453,152$ -343,746,167$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Brad MarchandAGE:30LightningCAN
Loui ErikssonAGE:33LightningSWE
Evgenii DadonovAGE:29LightningRUS
Boone JennerAGE:25LightningCAN
Michael RafflAGE:29LightningAUT
Zach HymanAGE:26LightningCAN
Melker KarlssonAGE:28LightningSWE
Drake CaggiulaAGE:24LightningCAN
Chris KunitzAGE:39LightningCAN
Aleksander BarkovAGE:23LightningFIN
Boone JennerAGE:25LightningCAN
Adam LowryAGE:25LightningUSA
Melker KarlssonAGE:28LightningSWE
Drake CaggiulaAGE:24LightningCAN
Filip ChytilAGE:19LightningCZE
Michael AmadioAGE:22LightningCAN
Greg McKeggAGE:26LightningCAN
Corban KnightAGE:28LightningCAN
William NylanderAGE:22LightningCAN
Loui ErikssonAGE:33LightningSWE
Evgenii DadonovAGE:29LightningRUS
Zach HymanAGE:26LightningCAN
Melker KarlssonAGE:28LightningSWE
Drake CaggiulaAGE:24LightningCAN
Nicolas Aube-KubelAGE:22LightningCAN

Defense #1Defense #2Goalie
Mike GreenAGE:32LightningCAN
Jan RuttaAGE:28LightningCZE
Luca SbisaAGE:28LightningITA
Kevin ConnautonAGE:28LightningCAN
Robert HaggAGE:23LightningSWE
Jordie BennAGE:31LightningCAN
Jaycob MegnaAGE:25LightningUSA
Korbinian HolzerAGE:30LightningDEU
Mirco MuellerAGE:23LightningCHE
Radim SimekAGE:26LightningCZE
Semyon VarlamovAGE:30LightningRUS
Carter HuttonAGE:32LightningCAN
Cal PetersenAGE:23LightningUSA

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** 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
1 ballo tbl 2020LightningLightning
2 ballo tbl 2020LightningLightning
Arsen KhisamutdinovLightningLightning2019185
Arthur KaliyevLightningLightning201926
Barrett HaytonLightningLightning
Bulat ShafigulinLightningLightning
Colten EllisLightningLightning201967
Ethan PhillipsLightningLightning2019109
Givani SmithLightningLightning
Hunter JonesLightningLightning201960
Ivan MorosovLightningLightning
Jonathan AngLightningLightning
Justin KirklandLightningLightning
Kasper BjorkqvistLightningLightning
Nicholas PorcoLightningLightning2019160
Pascal LabergeLightningLightning
Reece NewkirkLightningLightning2019161
Samuel SjolundLightningLightning2019126
Seth BartonLightningLightning
Shamil ShmakovLightningLightning
Vili SaarijarviLightningLightning
News





























Injuries
No Injury or Suspension.

Game Center

Rangers11-4-3, 25pts31Final
Lightning9-8-0, 18pts

Jets9-9-3, 21pts12Final
Lightning9-8-0, 18pts

Lightning9-8-0, 18ptsWed, Nov 20Scottbank
Blues11-7-3, 25pts

Lightning9-8-0, 18ptsFri, Nov 22United Center
Blackhawks8-9-3, 19pts

Ducks15-4-2, 32ptsSun, Nov 24ST Petes Times Forum
Lightning9-8-0, 18pts

Team Leaders

GOALS
Brad Marchand
9
ASSISTS
Aleksander Barkov
12
POINTS
Aleksander Barkov
17
PLUS/MINUS
Mirco Mueller
5
WINS
Semyon Varlamov
7
SV%
Semyon Varlamov
0.928

Team Stats


Goals For
39
2.29 GFG
Shots For
521
30.65 Avg
Power Play Percentage
21.9%
14 GF
Offensive Zone Start
50.1%
Goals Against
40
2.35 GAA
Shots Against
518
30.47 Avg
Penalty Kill Percentage
77.0%
17 GA
Defensive Zone Start
49.9%
 

Team Info

Lightning
General ManagerFrancis Bourque
Head Coach
ConferenceConference Est
DivisionAtlantique

Lightning Affiliation

Lightning
Team NameNorfolk
CityNorfolk
Head Coach
DivisionSud Est

Arena Info

StadiumST Petes Times Forum
Capacity18,000
Attendance17,113
Season Tickets7,200

Salary Cap

Total Cap Hit72,884,444$
Cap Hit Percentage91.68%
Projected Cap Space6,615,556$
Retains & Buyout0$

Finance

Team Revenue4,241,548$
Estimated Revenue24,843,353$
Estimated Expenses72,884,472$
Operating Income-48,041,119$
Bank Account-306,453,152$

Team History

Playoff Appearances1
Playoff Record (W-L)13-9
Stanley Cup0

Entry Draft