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Game Center
Lightning
6-27-3, 15pts
4
FINAL
3 Canucks
27-11-0, 54pts
Team Stats
L1StreakW1
3-14-2Home Record13-5-0
3-13-1Away Record14-6-0
3-7-0Last 10 Games5-5-0
2.58Goals Per Game3.79
4.89Goals Against Per Game2.61
16.15%Power Play Percentage17.73%
72.28%Penalty Kill Percentage82.93%
Lightning
6-27-3, 15pts
1
FINAL
5 Flames
8-27-1, 17pts
Team Stats
L1StreakW1
3-14-2Home Record6-11-0
3-13-1Away Record2-16-1
3-7-0Last 10 Games3-7-0
2.58Goals Per Game2.50
4.89Goals Against Per Game4.44
16.15%Power Play Percentage14.29%
72.28%Penalty Kill Percentage75.37%
Lightning
6-27-3, 15pts
Day 79
Oilers
24-10-1, 49pts
Team Stats
L1StreakL1
3-14-2Home Record11-5-0
3-13-1Away Record13-5-1
3-7-0Last 10 Games7-3-0
2.58Goals Per Game3.31
4.89Goals Against Per Game2.86
16.15%Power Play Percentage20.93%
72.28%Penalty Kill Percentage82.59%
Flyers
18-12-3, 39pts
Day 81
Lightning
6-27-3, 15pts
Team Stats
W2StreakL1
12-3-1Home Record3-14-2
6-9-2Away Record3-13-1
4-5-1Last 10 Games3-7-0
3.36Goals Per Game2.58
3.21Goals Against Per Game4.89
20.57%Power Play Percentage16.15%
76.65%Penalty Kill Percentage72.28%
Canadiens
17-15-4, 38pts
Day 83
Lightning
6-27-3, 15pts
Team Stats
W2StreakL1
8-9-2Home Record3-14-2
9-6-2Away Record3-13-1
5-5-0Last 10 Games3-7-0
2.97Goals Per Game2.58
3.25Goals Against Per Game4.89
21.47%Power Play Percentage16.15%
81.13%Penalty Kill Percentage72.28%
Team Leaders
JJ PeterkaGoals
JJ Peterka
12
Evan RodriguesAssists
Evan Rodrigues
21
Evan RodriguesPoints
Evan Rodrigues
31
Evan RodriguesPlus/Minus
Evan Rodrigues
0
Ville HussoWins
Ville Husso
4
Evan CormierSave Percentage
Evan Cormier
0.922

Team Stats
Goals For
93
2.58 GFG
Shots For
976
27.11 Avg
Power Play Percentage
16.1%
26 GF
Offensive Zone Start
36.8%
Goals Against
176
4.89 GAA
Shots Against
1325
36.81 Avg
Penalty Kill Percentage
72.3%
51 GA
Defensive Zone Start
42.4%


Injury / Suspension
Dan Vladar


Dan Vladar

is out for 1 week because of a Left Leg Injury.
Jeremy Lauzon


Jeremy Lauzon

is out for 1 month because of a Fractured Left Foot Injury.
Team Info
General ManagerSylvain De Sève
CoachJeremy Colliton
DivisionAtlantic
ConferenceEastern
CaptainAlex Killorn
Assistant #1Jeremy Lauzon
Assistant #2Dylan Demelo
Uniforms
Arena Info
NameBolts Center
Capacity25,000
Attendance21,879
Season Tickets10,000
Roster Info
Pro Team25
Farm Team25
Contract Limit50 / 50
Prospects44
Salary Cap
Estimated Season Salary Cap63,565,571$
Available Salary Cap21,434,429$
Special Salary Cap Value0$
Players In Salary Cap23
Finance
Year to Date Revenue32,889,185$
Year To Date Expenses27,126,966$
Estimated Season Revenue38,082,214$
Estimated Season Expenses38,938,581$
Current Bank Account221,702,701$
Projected Bank Account218,262,933$
Team History
This Season6-27-3 (15PTS)
History705-750-161 (0.436%)
Playoff Appearances4
Playoff Record (W-L)16-23
Stanley Cup0


Filter Tips
PriorityTypeDescription
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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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Matias MaccelliX100.0047418890478299744080676240727770107002466,000,000$
2Alex Killorn (C)X100.0067487384608686684063737169949015117003535,000,000$
3JJ PeterkaX100.004846838656829970406278704068758010690221925,000$
4Evan RodriguesX100.0070418286478098654068627060868335196803123,500,000$
5Tyson FoersterX100.0071548280738496634054717857687680116802211,500,000$
6Ridly GreigX100.008250728253799260795565804068748010670222925,000$
7Sam SteelX100.0058478281547796588056607940767760106602611,800,000$
8Tomas TatarX100.0054408483447591594058616972928420106503414,500,000$
9Rem PitlickX100.0052448184606858657069616883787355106502711,500,000$
10Nick RobertsonX100.0054408986447481654059716840707275106502312,500,000$
11Fabian LysellX100.004441778545655562407052668066668523610212925,000$
12Dylan Demelo (A)X100.0088488181608699614068558540868635107503134,000,000$
13Nikita ZadorovX100.0095825775977994584055606940828145237202923,500,000$
14Ronnie AttardX100.008353807571755152405450854074756510680251825,000$
15Gustav LindstromX100.0072498077627575554052587640767660196702621,300,000$
16Rasmus RistolainenX100.008254857573776451404854729984814056703025,500,000$
17John KlingbergX100.0062477980588453604069506140888630965032210,000,000$
Scratches
1Linus KarlssonX95.85655580845269596640706169907472655650251750,000$
2Jeremy Lauzon (A)X63.729978657580819754404859744078805567102732,000,000$
3Kaedan KorczakX95.187952847868776160406555774070747576802311,017,500$
4Chris WidemanX100.0053465578485550504051506540927420185903415,000,000$
Farm Team
1Akil ThomasX100.0061827779527363544051587040727370226002411,017,500$
2Benoit-Olivier GroulxX100.0093508075647574477944507040727470226002411,017,500$
3Jesse YlonenX100.0056498675637283514046566773747365226002511,017,500$
4Jiri KulichX100.004743817956665657704669674064659019600202925,000$
5Matt Coronato (R)X100.004542888149766656405457574068728017590223925,000$
6Jan JenikX100.0085617376596454524050546440726870245802411,017,500$
7Elmer SoderblomX100.006367877599706044404247614070707523570232925,000$
8Ruslan IskhakovX100.004441818140786855405851504072757022570241750,000$
9Nathan Gaucher (R)X100.006047718172817139703741614066748522560213925,000$
10Chase Stillman (R)X100.005757638756635343403551584066658520540213925,000$
11Mathias LaferriereX100.005146847556776740404238547372757021530241825,000$
12Tanner Dickinson (R)X100.004944858853605035702544554068648021500222750,000$
13Keaton MiddletonX100.0094735275937570354030407040767660186502611,240,000$
14Mason Lohrei (R)X100.005856817677787160405862674070747516650232750,000$
15Oliver KylingtonX100.0057448380537966574052617040787955176402722,500,000$
16Samuel BolducX100.0070578675797266524047576140727270226302411,017,500$
17Philip BrobergX100.004855907575695152405450604070707522600231925,000$
18Filip Johansson (R)X100.004947868851595440403941654072667020580242750,000$
19Hunter McDonald (R)X100.006150688072555036404230664068628022580223925,000$
20Reid Schaefer (R)X100.007366787879726239403839614066698519550213925,000$
21Adam Sykora (R)X100.004441899147756539403940634064709019540203925,000$
22Robert Mastrosimone (R)X100.004652729240605039404037624070657520520232750,000$
23Dennis CholowskiX100.0051508875707267464049435040767460185802611,240,000$
24Cal FooteX100.0067717675795550424044405040766660125602633,000,000$
TEAM AVERAGE98.96635279806273705345525467487474651662
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Collin Delia100.0075596091505050505050708467405590303575,000$
2Jakub Skarek100.00756468945050505050505074626525590253575,000$
Scratches
1Ville Husso95.008353609261586064656482827045136602915,000,000$
2Dan Vladar86.60765460975658525753547678685576202712,000,000$
Farm Team
1Evan Cormier100.00755060925050505050508778645517580271640,000$
TEAM AVERAGE96.2077566293535352545454737966521361
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeremy Colliton55687574687594CAN3912,500,000$


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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Evan RodriguesLightningC361021310300547210634709.43%1068619.081892510500001191032.47%88400000.9000000131
2Dylan DemeloLightningD3681826-17300546867234311.94%6288624.635611431390000138100.00%000000.5900000010
3Matias MaccelliLightningLW36111425-122046797216511.34%981022.501671813010121751029.25%21200000.6202000100
4Ridly GreigLightningC3661622-194601148910138535.94%1061917.2008815136000010147.78%83500000.7100000002
5JJ PeterkaLightningRW3612921-252055197286912.37%774020.56347311360001810030.15%13600010.5701000010
6Alex KillornLightningLW34111021-20180505591257512.09%468320.1056112210400001351037.50%21600000.6102000010
7Tyson FoersterLightningRW3681018-1229563458331829.64%1166918.59549301240002730138.89%10800000.5401001000
8Kaedan KorczakLightningD3331316-1918042413712258.11%3366320.0916722930001109000.00%000000.4800000001
9Nick RobertsonLightningLW3651015-12001235579338.77%344912.48000030001240029.73%3700000.6700000000
10Nikita ZadorovLightningD3441014-89551491333122112.12%4774621.9612314640000108100.00%000000.3800010001
11Sam SteelLightningC366814-18160218155194410.91%653214.801341195000000050.00%59000000.5300000000
12Ronnie AttardLightningD3431013-184958831458336.67%5267619.91325241020001100000.00%000000.3800010012
13Tomas TatarLightningLW31167-174011212011175.00%232410.45000040110131037.04%2700000.4300000100
14Rem PitlickLightningC36246-144012544214324.76%339010.84000020111170045.86%42300000.3100000000
15Mason LohreiGriffins (Tbl)D24066-624101012122120.00%1433013.76011322000022000.00%000000.3600110000
16Linus KarlssonLightningRW36415-18160383337172910.81%439410.9500001000080019.23%2600000.2500000000
17Jeremy LauzonLightningD18134-134205910155186.67%3342123.40101765000052000.00%000000.1900000000
18John KlingbergLightningD18044-5001274140.00%51769.830000400005000.00%000000.4500000000
19Gustav LindstromLightningD19123-91202615941011.11%1826413.9400004000024000.00%000000.2300000000
20Fabian LysellLightningRW12123-30028102210.00%2826.9000001000000036.59%4100000.7200000000
21Rasmus RistolainenLightningD28112-222404913144107.14%3348117.20000338000075000.00%000000.0800000000
22Chris WidemanLightningD2011-100200220.00%13115.870000000002000.00%000000.6300000000
23Keaton MiddletonGriffins (Tbl)D810110011132033.33%6425.370000000000000.00%000000.4700000000
24Jiri KulichGriffins (Tbl)C5011100144040.00%0336.6600000000000043.33%3000000.6000000000
25Akil ThomasGriffins (Tbl)LW2000020204010.00%02211.360000000001000.00%000000.0000000000
26Oliver KylingtonGriffins (Tbl)D8000-300001000.00%1151.940000000001000.00%000000.0000000000
27Matt CoronatoGriffins (Tbl)RW21000-300287190.00%01567.4700003000000025.00%800000.0000000000
Team Total or Average69199180279-2924632589383410513257639.42%3761133216.402756832681388123912926240.78%357300010.4906131377
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
1Ville HussoLightning134810.8954.1174500514860000.7504114100
2Collin DeliaLightning101600.8225.5742000392190000.0000811000
3Dan VladarLightning111810.8415.8048600472950000.0000114000
4Evan CormierGriffins (Tbl)60100.9223.031782091150000.0000011000
5Jakub SkarekLightning40300.8774.1721600151220000.000034000
Team Total or Average4462620.8704.7220472016112370000.75043334100


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Alex KillornLightningLW351989-09-14No194 Lbs6 ft1NoNoYes3Pro Only5,000,000$5,000,000$2,796,610$No5,000,000$5,000,000$
UFA
Link / NHL Link
Chris WidemanLightningD341990-01-07No181 Lbs5 ft10NoNoYes1Pro Only5,000,000$5,000,000$2,796,610$No
UFA
Link / NHL Link
Collin DeliaLightningG301994-06-20No200 Lbs6 ft2NoNoNo3Pro & Farm575,000$575,000$321,610$No575,000$575,000$
UFA
Link / NHL Link
Dan Vladar (Out of Payroll)LightningG271997-08-20No185 Lbs6 ft5NoNoNo1Pro & Farm2,000,000$2,000,000$1,118,644$No
UFA
Link / NHL Link
Dylan DemeloLightningD311993-05-01No194 Lbs6 ft1NoNoYes3Pro & Farm4,000,000$4,000,000$2,237,288$No4,000,000$4,000,000$
UFA
Link / NHL Link
Evan RodriguesLightningC311993-07-28No175 Lbs5 ft11NoNoYes2Pro & Farm3,500,000$3,500,000$1,957,627$No3,500,000$
UFA
Link / NHL Link
Fabian LysellLightningRW212003-01-19No175 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$517,373$No925,000$
RFA
Link / NHL Link
Gustav LindstromLightningD261998-10-20No194 Lbs6 ft2NoNoNo2Pro & Farm1,300,000$1,300,000$727,119$No1,300,000$
UFA
Link / NHL Link
JJ PeterkaLightningRW222002-01-14No189 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$517,373$No
RFA
Link / NHL Link
Jakub SkarekLightningG251999-11-10No206 Lbs6 ft4NoNoNo3Pro & Farm575,000$575,000$321,610$No575,000$575,000$
UFA
Link / NHL Link
Jeremy Lauzon (Out of Payroll)LightningD271997-04-28No225 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$2,000,000$1,118,644$No2,000,000$2,000,000$
UFA
Link / NHL Link
John KlingbergLightningD321992-08-14No185 Lbs6 ft2NoNoYes2Pro Only10,000,000$10,000,000$5,593,220$No10,000,000$
UFA
Link / NHL Link
Kaedan KorczakLightningD232001-01-29No201 Lbs6 ft3NoNoNo1Pro & Farm1,017,500$1,017,500$569,110$No
RFA
Link / NHL Link
Linus KarlssonLightningRW251999-11-16No178 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$419,492$No
RFA
Link / NHL Link
Matias MaccelliLightningLW242000-10-14No176 Lbs5 ft11NoNoYes6Pro Only6,000,000$6,000,000$3,355,932$No6,000,000$6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Link / NHL Link
Nick RobertsonLightningLW232001-09-11No178 Lbs5 ft9NoNoNo1Pro & Farm2,500,000$2,500,000$1,398,305$No
RFA
Link / NHL Link
Nikita ZadorovLightningD291995-04-16No248 Lbs6 ft6NoNoYes2Pro & Farm3,500,000$3,500,000$1,957,627$No3,500,000$
UFA
Link / NHL Link
Rasmus RistolainenLightningD301994-10-27No208 Lbs6 ft4NoNoYes2Pro Only5,500,000$5,500,000$3,076,271$No5,500,000$
UFA
Link / NHL Link
Rem PitlickLightningC271997-04-02No202 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,500,000$838,983$No
UFA
Link / NHL Link
Ridly GreigLightningC222002-08-08No184 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$517,373$No925,000$
RFA
Link / NHL Link
Ronnie AttardLightningD251999-03-20No208 Lbs6 ft3NoNoNo1Pro & Farm825,000$825,000$461,441$No
RFA
Link / NHL Link
Sam SteelLightningC261998-02-03No185 Lbs6 ft0NoNoNo1Pro & Farm1,800,000$1,800,000$1,006,780$No
RFA
Link / NHL Link
Tomas TatarLightningLW341990-12-01No173 Lbs5 ft10NoNoYes1Pro & Farm4,500,000$4,500,000$2,516,949$No
UFA
Link / NHL Link
Tyson FoersterLightningRW222002-01-18No215 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$838,983$No
RFA
Link / NHL Link
Ville Husso (Out of Payroll)LightningG291995-02-06No182 Lbs6 ft1NoNoYes1Pro Only5,000,000$5,000,000$2,796,610$No
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2527.20194 Lbs6 ft11.882,844,700$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
71,117,500$43,800,000$18,150,000$6,000,000$6,000,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matias MaccelliEvan RodriguesJJ Peterka40122
2Alex KillornRidly GreigTyson Foerster30122
3Tomas TatarSam Steel20122
4Nick RobertsonRem PitlickFabian Lysell10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan DemeloNikita Zadorov40122
2John KlingbergRonnie Attard30122
3Gustav LindstromRasmus Ristolainen20122
4Nikita ZadorovDylan Demelo10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam SteelEvan RodriguesJJ Peterka60122
2Matias MaccelliRidly GreigTyson Foerster40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan DemeloNikita Zadorov60122
2Rasmus RistolainenRonnie Attard40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyson FoersterMatias Maccelli60122
2JJ PeterkaEvan Rodrigues40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan DemeloNikita Zadorov60122
2Gustav LindstromRonnie Attard40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1JJ Peterka60122Dylan DemeloNikita Zadorov60122
2Matias Maccelli40122Rasmus RistolainenRonnie Attard40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Rem PitlickMatias Maccelli60122
2JJ PeterkaEvan Rodrigues40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan DemeloNikita Zadorov60122
2Gustav LindstromRonnie Attard40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alex KillornEvan RodriguesJJ PeterkaDylan DemeloNikita Zadorov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alex KillornEvan RodriguesJJ PeterkaDylan DemeloNikita Zadorov
Extra Forwards
Normal PowerPlayPenalty Kill
Sam Steel, Rem Pitlick, Tomas TatarSam Steel, Rem PitlickTomas Tatar
Extra Defensemen
Normal PowerPlayPenalty Kill
Gustav Lindstrom, Rasmus Ristolainen, Nikita ZadorovGustav LindstromRasmus Ristolainen, Dylan Demelo
Penalty Shots
Tomas Tatar, Matias Maccelli, JJ Peterka, Evan Rodrigues, Tyson Foerster
Goalie
#1 : Collin Delia, #2 : Jakub Skarek


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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff 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
1Avalanche2020000046-21010000023-11010000023-100.0004711003010753515250561618401317.69%8187.50%0472111942.18%529128941.04%28463045.08%503543142513
2Blackhawks21100000910-1110000005411010000046-220.500916250025207119223007016124312325.00%6266.67%0472111942.18%529128941.04%28463045.08%513642142613
3BlueJacket1010000038-51010000038-50000000000000.000358000210326151104513629200.00%20100.00%0472111942.18%529128941.04%28463045.08%2115265115
4Bruins1010000028-61010000028-60000000000000.00023500011019311504661518400.00%5260.00%0472111942.18%529128941.04%28463045.08%2114267125
5Canadiens1010000004-4000000000001010000004-400.000000000000202117030101216400.00%6266.67%0472111942.18%529128941.04%28463045.08%2114258125
6Canucks2110000059-41010000016-51100000043120.50051015002210431310200901735575240.00%13284.62%1472111942.18%529128941.04%28463045.08%372458142310
7Coyotes1010000034-1000000000001010000034-100.0003470020103316980431012304125.00%6183.33%0472111942.18%529128941.04%28463045.08%2518226115
8Devils30300000414-102020000039-61010000015-400.0004812000220751620390952853551000.00%22768.18%0472111942.18%529128941.04%28463045.08%603883233617
9Ducks10001000431100010004310000000000021.000481200210127111051421314294125.00%70100.00%0472111942.18%529128941.04%28463045.08%2214247136
10Flames1010000015-4000000000001010000015-400.00012300010025371502371026300.00%5260.00%0472111942.18%529128941.04%28463045.08%2113237147
11Flyers1010000006-6000000000001010000006-600.00000000000019946038211623400.00%8450.00%0472111942.18%529128941.04%28463045.08%2215257125
12GoldenKnights11000000651000000000001100000065121.00061218004110241239033514212150.00%7271.43%0472111942.18%529128941.04%28463045.08%2012257146
13Hurricanes1010000035-21010000035-20000000000000.00035800003026861202558257114.29%4250.00%0472111942.18%529128941.04%28463045.08%1912278135
14Islanders1010000036-31010000036-30000000000000.0003580010202491050415620200.00%30100.00%0472111942.18%529128941.04%28463045.08%2013267136
15Jets1010000023-1000000000001010000023-100.0002350000202661280521112264125.00%6266.67%0472111942.18%529128941.04%28463045.08%2316256104
16MapleLeafs1010000034-11010000034-10000000000000.00036900030029914603891221400.00%40100.00%0472111942.18%529128941.04%28463045.08%2113267126
17Oilers1010000027-51010000027-50000000000000.0002460011003413174032106108225.00%330.00%0472111942.18%529128941.04%28463045.08%2517237116
18Panthers311000011112-120100001810-21100000032130.50011213200335090223031910622286313323.08%13376.92%0472111942.18%529128941.04%28463045.08%664679243818
19Penguins1010000037-4000000000001010000037-400.0003690020103493220411314263133.33%7528.57%0472111942.18%529128941.04%28463045.08%1711307115
20Predators2000010157-21000010023-11000000134-120.50059140012205514211596413194615320.00%60100.00%0472111942.18%529128941.04%28463045.08%463151162713
21Rangers10001000431100010004310000000000021.0004590020112484111441310215120.00%5180.00%0472111942.18%529128941.04%28463045.08%1911289126
22RedWings20200000612-61010000015-41010000057-200.000611170041105324171206924184012325.00%9277.78%0472111942.18%529128941.04%28463045.08%372357162511
23Sabres2020000048-41010000025-31010000023-100.0004610003100452011140691928571119.09%14657.14%0472111942.18%529128941.04%28463045.08%412753152511
24Senators20200000213-111010000024-21010000009-900.000235002000421715100912822359111.11%11190.91%0472111942.18%529128941.04%28463045.08%372457162411
25Wild1010000047-3000000000001010000047-300.0004610003010311975042121720100.00%4175.00%0472111942.18%529128941.04%28463045.08%2215237136
Total364270210293176-8319114021015093-4317313000014383-40150.208931652580037262829763233043352013253464177971612616.15%1845172.28%1472111942.18%529128941.04%28463045.08%775518941276455216
_Since Last GM Reset364270210293176-8319114021015093-4317313000014383-40150.208931652580037262829763233043352013253464177971612616.15%1845172.28%1472111942.18%529128941.04%28463045.08%775518941276455216
_Vs Conference211180100148110-6213011010013467-33817000001443-2950.119488413200171317153216217119110778216248449901112.22%1133569.03%0472111942.18%529128941.04%28463045.08%427281574165262122
_Vs Division12110000012861-33706000011836-18514000001025-1530.12528507800129702989710985944911813525057814.04%621674.19%0472111942.18%529128941.04%28463045.08%2471643269715170

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3615L193165258976132534641779700
All Games
GPWLOTWOTL SOWSOLGFGA
36427210293176
Home Games
GPWLOTWOTL SOWSOLGFGA
1911421015093
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1731300014383
Last 10 Games
WLOTWOTL SOWSOL
271000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1612616.15%1845172.28%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
323304335203726282
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
472111942.18%529128941.04%28463045.08%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
775518941276455216


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
427Panthers6Lightning5BLXXBoxScore
956Canucks6Lightning1BLBoxScore
1069BlueJacket8Lightning3BLBoxScore
1383Hurricanes5Lightning3BLBoxScore
1596RedWings5Lightning1BLBoxScore
17107Lightning4Wild7ALBoxScore
18116Lightning4Blackhawks6ALBoxScore
21130Lightning2Avalanche3ALBoxScore
23147Lightning6GoldenKnights5AWBoxScore
24148Lightning3Coyotes4ALBoxScore
27177Devils6Lightning1BLBoxScore
29190Predators3Lightning2BLXBoxScore
31199Lightning0Canadiens4ALBoxScore
32209Lightning0Senators9ALBoxScore
34222Oilers7Lightning2BLBoxScore
36235Islanders6Lightning3BLBoxScore
38252Senators4Lightning2BLBoxScore
41264Lightning2Sabres3ALBoxScore
43284Lightning3Penguins7ALBoxScore
45300Lightning0Flyers6ALBoxScore
47310Lightning3Predators4ALXXBoxScore
49330Panthers4Lightning3BLBoxScore
50344Blackhawks4Lightning5BWBoxScore
52361Devils3Lightning2BLBoxScore
54374Ducks3Lightning4BWXBoxScore
56387Sabres5Lightning2BLBoxScore
58398Lightning3Panthers2AWBoxScore
60414Lightning1Devils5ALBoxScore
61418Lightning5RedWings7ALBoxScore
63436Bruins8Lightning2BLBoxScore
65453Avalanche3Lightning2BLBoxScore
67464Rangers3Lightning4BWXBoxScore
70485MapleLeafs4Lightning3BLBoxScore
73511Lightning2Jets3ALBoxScore
75527Lightning4Canucks3AWBoxScore
77534Lightning1Flames5ALBoxScore
79551Lightning-Oilers-
81576Flyers-Lightning-
83595Canadiens-Lightning-
85599Lightning-Ducks-
88623Lightning-Kings-
90642Lightning-Sharks-
93664BlueJacket-Lightning-
95680Hurricanes-Lightning-
97687Lightning-Sabres-
98702Lightning-Islanders-
100712Lightning-Stars-
102732MapleLeafs-Lightning-
104749Sharks-Lightning-
111777Lightning-Penguins-
113786Lightning-Islanders-
114796Lightning-Rangers-
117818GoldenKnights-Lightning-
119835Blues-Lightning-
121848Penguins-Lightning-
122855Lightning-Panthers-
124872Flames-Lightning-
126885Stars-Lightning-
128901Canadiens-Lightning-
130910Lightning-BlueJacket-
131923Lightning-Flyers-
133937Sabres-Lightning-
137965Kings-Lightning-
139982Lightning-Rangers-
140985Lightning-Bruins-
1421007Senators-Lightning-
1451028Jets-Lightning-
1471043Wild-Lightning-
1491058RedWings-Lightning-
1511071Lightning-MapleLeafs-
1541085Lightning-RedWings-
1561109Capitals-Lightning-
1581121Coyotes-Lightning-
1601135Lightning-Capitals-
1611136Lightning-Hurricanes-
1631159Lightning-Blues-
1651175Bruins-Lightning-
Trade Deadline --- Trades can’t be done after this day is simulated!
1701212Capitals-Lightning-
1721226Lightning-Senators-
1731236Lightning-Canadiens-
1751251Lightning-MapleLeafs-
1771258Lightning-Bruins-


Depth Chart
Left WingCenterRight Wing
Matias Maccelli
Matias Maccelli
AGE:24
SK:90
EN:82
DU:99
PH:74
PA:80
SC:67
DF:62
Alex Killorn
Alex Killorn
AGE:35
SK:84
EN:86
DU:86
PH:68
PA:63
SC:73
DF:71
Nick Robertson
Nick Robertson
AGE:23
SK:86
EN:74
DU:81
PH:65
PA:59
SC:71
DF:68
Tomas Tatar
Tomas Tatar
AGE:34
SK:83
EN:75
DU:91
PH:59
PA:58
SC:61
DF:69
Akil Thomas
Akil Thomas
AGE:24
SK:79
EN:73
DU:63
PH:54
PA:51
SC:58
DF:70
Jan Jenik
Jan Jenik
AGE:24
SK:76
EN:64
DU:54
PH:52
PA:50
SC:54
DF:64
Elmer Soderblom
Elmer Soderblom
AGE:23
SK:75
EN:70
DU:60
PH:44
PA:42
SC:47
DF:61
Ruslan Iskhakov
Ruslan Iskhakov
AGE:24
SK:81
EN:78
DU:68
PH:55
PA:58
SC:51
DF:50
Reid Schaefer (R)
Reid Schaefer
AGE:21
SK:78
EN:72
DU:62
PH:39
PA:38
SC:39
DF:61
Adam Sykora (R)
Adam Sykora
AGE:20
SK:91
EN:75
DU:65
PH:39
PA:39
SC:40
DF:63
Robert Mastrosimone (R)
Robert Mastrosimone
AGE:23
SK:92
EN:60
DU:50
PH:39
PA:40
SC:37
DF:62
Evan Rodrigues
Evan Rodrigues
AGE:31
SK:86
EN:80
DU:98
PH:65
PA:68
SC:62
DF:70
Ridly Greig
Ridly Greig
AGE:22
SK:82
EN:79
DU:92
PH:60
PA:55
SC:65
DF:80
Sam Steel
Sam Steel
AGE:26
SK:81
EN:77
DU:96
PH:58
PA:56
SC:60
DF:79
Rem Pitlick
Rem Pitlick
AGE:27
SK:84
EN:68
DU:58
PH:65
PA:69
SC:61
DF:68
Jiri Kulich
Jiri Kulich
AGE:20
SK:79
EN:66
DU:56
PH:57
PA:46
SC:69
DF:67
Benoit-Olivier Groulx
Benoit-Olivier Groulx
AGE:24
SK:75
EN:75
DU:74
PH:47
PA:44
SC:50
DF:70
Nathan Gaucher (R)
Nathan Gaucher
AGE:21
SK:81
EN:81
DU:71
PH:39
PA:37
SC:41
DF:61
Tanner Dickinson (R)
Tanner Dickinson
AGE:22
SK:88
EN:60
DU:50
PH:35
PA:25
SC:44
DF:55
JJ Peterka
JJ Peterka
AGE:22
SK:86
EN:82
DU:99
PH:70
PA:62
SC:78
DF:70
Tyson Foerster
Tyson Foerster
AGE:22
SK:80
EN:84
DU:96
PH:63
PA:54
SC:71
DF:78
Linus Karlsson
Linus Karlsson
AGE:25
SK:84
EN:69
DU:59
PH:66
PA:70
SC:61
DF:69
Fabian Lysell
Fabian Lysell
AGE:21
SK:85
EN:65
DU:55
PH:62
PA:70
SC:52
DF:66
Jesse Ylonen
Jesse Ylonen
AGE:25
SK:75
EN:72
DU:83
PH:51
PA:46
SC:56
DF:67
Matt Coronato (R)
Matt Coronato
AGE:22
SK:81
EN:76
DU:66
PH:56
PA:54
SC:57
DF:57
Chase Stillman (R)
Chase Stillman
AGE:21
SK:87
EN:63
DU:53
PH:43
PA:35
SC:51
DF:58
Mathias Laferriere
Mathias Laferriere
AGE:24
SK:75
EN:77
DU:67
PH:40
PA:42
SC:38
DF:54

Defense #1Defense #2Goalie
Dylan Demelo
Dylan Demelo
AGE:31
SK:81
EN:86
DU:99
PH:61
PA:68
SC:55
DF:85
Nikita Zadorov
Nikita Zadorov
AGE:29
SK:75
EN:79
DU:94
PH:58
PA:55
SC:60
DF:69
Jeremy Lauzon
Jeremy Lauzon
AGE:27
SK:75
EN:81
DU:97
PH:54
PA:48
SC:59
DF:74
Kaedan Korczak
Kaedan Korczak
AGE:23
SK:78
EN:77
DU:61
PH:60
PA:65
SC:55
DF:77
Ronnie Attard
Ronnie Attard
AGE:25
SK:75
EN:75
DU:51
PH:52
PA:54
SC:50
DF:85
Gustav Lindstrom
Gustav Lindstrom
AGE:26
SK:77
EN:75
DU:75
PH:55
PA:52
SC:58
DF:76
Rasmus Ristolainen
Rasmus Ristolainen
AGE:30
SK:75
EN:77
DU:64
PH:51
PA:48
SC:54
DF:72
Mason Lohrei (R)
Mason Lohrei
AGE:23
SK:76
EN:78
DU:71
PH:60
PA:58
SC:62
DF:67
Keaton Middleton
Keaton Middleton
AGE:26
SK:75
EN:75
DU:70
PH:35
PA:30
SC:40
DF:70
John Klingberg
John Klingberg
AGE:32
SK:80
EN:84
DU:53
PH:60
PA:69
SC:50
DF:61
Oliver Kylington
Oliver Kylington
AGE:27
SK:80
EN:79
DU:66
PH:57
PA:52
SC:61
DF:70
Samuel Bolduc
Samuel Bolduc
AGE:24
SK:75
EN:72
DU:66
PH:52
PA:47
SC:57
DF:61
Philip Broberg
Philip Broberg
AGE:23
SK:75
EN:69
DU:51
PH:52
PA:54
SC:50
DF:60
Chris Wideman
Chris Wideman
AGE:34
SK:78
EN:55
DU:50
PH:50
PA:51
SC:50
DF:65
Hunter McDonald (R)
Hunter McDonald
AGE:22
SK:80
EN:55
DU:50
PH:36
PA:42
SC:30
DF:66
Filip Johansson (R)
Filip Johansson
AGE:24
SK:88
EN:59
DU:54
PH:40
PA:39
SC:41
DF:65
Dennis Cholowski
Dennis Cholowski
AGE:26
SK:75
EN:72
DU:67
PH:46
PA:49
SC:43
DF:50
Cal Foote
Cal Foote
AGE:26
SK:75
EN:55
DU:50
PH:42
PA:44
SC:40
DF:50
Ville Husso
Ville Husso
AGE:29
SK:83
AG:61
RB:58
SC:60
HS:64
RT:65
DF:64
Dan Vladar
Dan Vladar
AGE:27
SK:76
AG:56
RB:58
SC:52
HS:57
RT:53
DF:54
Jakub Skarek
Jakub Skarek
AGE:25
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Collin Delia
Collin Delia
AGE:30
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Evan Cormier
Evan Cormier
AGE:27
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Alexander CampbellLightning203381
Andrew GibsonLightning203761
Bryce Mcconnell-BarkerLightning203686
Calle OdeliusLightning203669
Carson RehkopfLightning203782
Charlie ElickLightning203850
Colby BarlowLightning203712
Colin RalphLightning203864
Connor HvidstonLightning2036162
Cutter GauthierLightning20367
Denton MateychukLightning203615
Egor SurinLightning203822
Ethan GauthierLightning203748
Gabriel PerreaultLightning203718
Gavin BrindleyLightning203728
Isaac HowardLightning203629
Ivan DemidovLightning20382
Jacob FowlerLightning203749
Jani NymanLightning203638
Joel SvenssonLightning2038157
Juha JatkolaLightning2037161
Kaden HammellLightning2037192
Kasper SimontaivalLightning203472
Kim SaarinenLightning2038121
Lenni KillinenLightning2032130
Luca PinelliLightning203760
Lucas PetterssonLightning203831
Lukas DragicevicLightning203723
Luke MartinLightning203187
Luke OsburnLightning2038126
Matvei MichkovLightning20376
Maveric LamoureuxLightning203628
Mikhail GulyayevLightning203722
Oliver JohanssonLightning203580
Olivier NadeauLightning203582
Oscar Fisker MolgaardLightning203754
Quentin MustyLightning203715
Quinn OlsonLightning203387
Roman KantserovLightning203768
Stevie LeskovarLightning2038188
Tanner HoweLightning203833
Tarin SmithLightning203895
Terrell GoldsmithLightning2037130
Tristan LuneauLightning203636

Draft Picks

Draft Picks
Year R1R2R3R4R5R6R7
2039
2040
2041



Lightning Stat Leaders (Regular Season)
# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Brad Richards1251232349581-4977812751603207911.16%6962019116.1446761222507132054341051.26%30.58318
2Drew Stafford52011822133934276696106912349.56%81973218.72279412134444824141052.19%30.70526
3John Klingberg41977233310-1265910262074910.28%518999823.8649861355002578730.00%10.6200
4Jason Pominville32012313926210139307532107611.43%111688221.512839671952353115535.54%30.76633
5Tyler Bertuzzi301117130247-713731354994812.34%41589319.583549842591231322733.62%30.84620

Lightning Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Miikka Kiprusoff1598254220.9082.81953721144648572000900.71183
2Vasily Koshechkin1688065120.8973.27964514652550730840.77170
3James Howard168688490.8913.5793896455851310440.78852
4Linus Ullmark165687190.9033.17921214648649990710.73256
5Anton Khudobin84452940.9112.85463916322024820300.76025

Lightning Career Team Stats
OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P 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
Regular Season
201782343702513270285-15411619014101451351041181801103125150-25772704256951107310490255607888888682540844112117522685922.01%2465677.24%91028195252.66%1042202451.48%715141150.67%1775101718548221493757
201882293206348233236-341131804213106119-1341161402135127117107323336459701052819024610761860807259687279617842163918.06%1922984.90%2978191051.20%960198248.44%698129553.90%173697217367551520765
20198240190863629323261412210023041441103441189063321491222710229345775001072103107264607769738522397812142919882214419.91%2634981.37%71131213752.92%1016198551.18%632129548.80%1773100216817741535750
202082353003554253239144116150322312211484119150033113112568125340665920066809926430799912898259884398218352564818.75%2213584.16%51059210350.36%1057204351.74%622126349.25%1764100617137611509750
202182313704235246247-141132102113121132-1141181602122125115107224644068602080897024170758804828246479597618244088220.10%4108280.00%71559290753.63%1538302850.79%707128355.11%1970135119596181049523
202282313502329268294-2641171600215131138-741141902114137156-1969268466734440919182265908778528972686824109919854147919.08%45010975.78%61544310249.77%1458312446.67%651132649.10%1910129320296201044515
202382283903129234269-3541151802105114130-1641132101024120139-1963234408642130777973242907998337632628723107917483997819.55%4458381.35%11613291555.33%1609307052.41%658128651.17%1882126020456321050516
2024823534031362942868411915020231541371741161901113140149-989294517811220999099284409089279842681801113718883949724.62%4949480.97%61766326854.04%1477308347.91%671137948.66%1889126420366241045513
202582382905154286259274119170201214913712411912031421371221510128649678202010371102257408288179012663853115819443968721.97%4999081.96%71530296651.58%1561319448.87%689133151.77%1897127920396321041509
202682422803144299253464121140212114712324412114010231521302210329953483315096110862744090888193926927791113191540610626.11%4768282.77%21616312251.76%1548316848.86%656135348.48%1884126520346301052512
202782264102256293321-2841151901132152158-641112201124141163-22742935218143001178980281409619248942618809101218194398519.36%41910774.46%71592321949.46%1358297545.65%672140347.90%1935132020166201033511
20308233350218326525510412016011301411192241131901053124136-129026546072504089729426210827888886271474797917884047819.31%4167581.97%31589307351.71%1605311551.52%676130052.00%1908129420356211037509
203182244502245188260-724111200014599128-294113250210089132-436718833752503052626820130638622721299088195119673885714.69%4308280.93%31029259139.71%1319341138.67%470119839.23%1721112522196491036490
203282274504222213262-4941171901211111126-1541102603011102136-347021338159424079715722140749718730271575892617473915714.58%4158380.00%21365270450.48%1542312949.28%639124651.28%1809120120866421050510
203382264204055261306-4541131703044141148-741132501011120158-387526147073120089887524970797825846271772894818314148620.77%4048179.95%51290295543.65%1360304744.63%618134445.98%1893127620356291052518
203482343502146273290-1741161902112143157-1441181600034130133-387273481754140938490262508488429052686792102619113767319.41%4349677.88%71505297750.55%1449304347.62%662139247.56%1882127620616191033510
203582304203232270284-1441182000111140135541122203121130149-19762704727421301198164250808738068152628782102419373938120.61%4189577.27%01478294650.17%1486298949.72%719137552.29%1872126420436201038507
203682235103203238364-12641122502101126166-4041112601102112198-8657238423661200837775235907298647562968836104017963768422.34%43010276.28%11325275548.09%1445308946.78%683140148.75%1782119021226211034497
20378256704402216461-2454113502300108221-1134143202102108240-132242163886040075637442153726724687223116896112318963506418.29%45914468.63%41196254347.03%1214296440.96%638143444.49%1695111922116341032475
2038364270210293176-8319114021015093-4317313000014383-4015931652580037262829763233043352013253464177971612616.15%1845172.28%1472111942.18%529128941.04%28463045.08%775518941276455216
Total Regular Season159457575006745639449865579-59379829536703428284625442726-18279628038303317354824422853-411146549868611135972239112161916241507487531049156521625815332524221572120336361527070141019.94%7705162578.91%85266655326450.06%265735575247.66%127602594549.18%357612329938903128092214510860
Playoff
201911650000027225651000001910951400000812-41227426910010413273077999530811314524619210.53%22195.45%012521458.41%12725450.00%7614452.78%220116218105221107
202019910000004953-411650000029290835000002024-4184982131210101719424011314315444918013636543920.93%43979.07%021037955.41%18440145.89%13024952.21%378181386195426215
2025514000002027-72110000010100303000001017-7220355500049618504371482115610812124312.50%36683.33%113122657.96%11123547.23%479847.96%13191131407034
2026404000001119-820200000610-42020000059-401121320005331560544156136387211424312.50%25676.00%110418057.78%7215247.37%337047.14%9465103314823
Total Playoff39162300000107121-1421129000006459518414000004362-19321071802873102933411038028735435311043874618461101715.45%1262282.54%257099957.06%494104247.41%28656150.98%825455839373767380

Lightning Stat Leaders (Play-Off)
# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Derek Roy199213031235446713.43%1347625.10257900013051.82%11.2600
2Ray Whitney271314271429379813.27%1957621.363471900014040.00%00.9400
3Christian Ehrhoff3051722-7252246677.46%4077925.9831411000121100.00%00.5600
4Daniel Briere116511-4425224712.77%326924.52022400011058.43%00.8200
5Ryan Vesce195611-2017324910.20%435218.57011600000150.00%00.6200

Lightning Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Ilja Bryzgalov199910.8852.6111742151445166020.0000
2Miikka Kiprusoff116410.9321.916600021307115110.0000
3Anton Khudobin41210.8754.5028000211680100.0000
4Martin Biron10001.0000.001500021000.0000
5Chad Johnson20200.8615.041190010720000.0000