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Team Leaders

Team Stats
Team Info
General ManagerSteve St-Amand
CoachMarco Sturm
DivisionNorth
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance
Season Tickets300
Roster Info
Pro Team33
Farm Team19
Contract Limit52 / 50
Prospects33
Team History
This Season0-0-0 (0PTS)
History752-720-152 (0.463%)
Playoff Appearances10
Playoff Record (W-L)46-49
Stanley Cup1


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5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Marco KasperX100.008745818355809665805970724064729020680202925,000$
2Jesse PuljujarviX100.009956747677746458405661654076756020640264850,000$
3Colton DachX100.009959767667756056405657754066718520630212925,000$
4Henrik RybinskiX100.006253837559695949705444704070707520580231925,000$
5Xavier BourgaultX100.005347857549706042403946596568698020530221925,000$
6Johnathan KovacevicX100.0070697275838298544056528240788055207102731,500,000$
7Olen ZellwegerX100.005443848351818561405764744066748520670212925,000$
8Mitchell VandeSompelX100.006057907552555031403330634078675520550271600,000$
Scratches
1Mark KastelicX100.0099915575837285548952576840747365206402500$
2Matthew PhillipsX100.0046388885407464614069537099767560206302600$
3Tye KartyeX100.0099517678607186534049586640707175206202300$
4Jan MysakX100.0057608477557767507049526590687380205902200$
5Ben McCartneyX100.0056586375617262464042517040707175205702300$
6Jordan Dumais (R)X100.0047388692426050464047466040646290205502000$
7Kristian VesalainenX100.0072538875716050474042505040746765205402500$
8Jake LeschyshynX100.0077468075597868394033455040747665205302500$
9Felix Unger Sorum (R)X100.0049398691447060384040375040626695205201900$
10Jalen LuypenX100.004547867543655535402942704068678020510222925,000$
11Matvey PetrovX100.005239867565605038403145547366638520510212925,000$
12Jaydon DureauX100.006052837549605033403035637370657520500231925,000$
13Tucker RobertsonX100.005659837554605035403139554066638520490212925,000$
14Owen Pickering (R)X100.0052538575717460514047557140646990206202000$
15Ryan Mast (R)X100.0085608076805550314031306740666185205902100$
16Ethan SamsonX100.005438787570736843403451504066708520560212925,000$
17Ryan O'RourkeX100.0060847575596358344034345240686680205402200$
18Santeri HatakkaX100.0067476975565550304024366140706375205402300$
19Santtu KinnunenX100.005045837548555039404137504074656520520251600,000$
TEAM AVERAGE 100.00655380775968634546434763476969762058
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
1Devon Levi100.00817178846965636565639970687520680231750,000$
Scratches
1Dustin Wolf100.008795997891889088868593707975208402300$
2Trent Miner100.00876671886562656365644070667520670231750,000$
3Dennis Hildeby100.00765760995956545759579970637520620231750,000$
4Nico Daws100.007961649450505050505070726170205902400$
5Gage Alexander100.00755060975050505050504068598020570221925,000$
TEAM AVERAGE100.0081677290646262626362747066752066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marco Sturm70696759827776GER473200,000$


Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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
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


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 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Ben McCartneyThunder (Lak)LW232001-07-13No199 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Colton DachThunder (Lak)C212003-01-04No196 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Dennis HildebyThunder (Lak)G232001-08-19No222 Lbs6 ft7NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Devon LeviThunder (Lak)G232001-12-27No192 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Dustin WolfThunder (Lak)G232001-04-16No156 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Ethan SamsonThunder (Lak)D212003-08-23No205 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Felix Unger SorumThunder (Lak)RW192005-09-14Yes170 Lbs5 ft11NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Gage AlexanderThunder (Lak)G222002-07-02No205 Lbs6 ft6NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Henrik RybinskiThunder (Lak)RW232001-06-26No187 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Jake LeschyshynThunder (Lak)LW251999-03-10No199 Lbs5 ft11NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Jalen LuypenThunder (Lak)LW222002-06-28No171 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Jan MysakThunder (Lak)C222002-06-24No192 Lbs5 ft11NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Jaydon DureauThunder (Lak)LW232001-01-20No176 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Jesse PuljujarviThunder (Lak)RW261998-05-07No216 Lbs6 ft4YesNoNo4Pro & Farm850,000$0$0$No850,000$850,000$850,000$
UFA
Link / NHL Link
Johnathan KovacevicThunder (Lak)D271997-07-12No223 Lbs6 ft5NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
UFA
Link / NHL Link
Jordan DumaisThunder (Lak)RW202004-04-15Yes174 Lbs5 ft9NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Kristian VesalainenThunder (Lak)LW251999-06-01No207 Lbs6 ft3NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Marco KasperThunder (Lak)C202004-04-08No183 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Mark KastelicThunder (Lak)C251999-03-11No227 Lbs6 ft4NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Matthew PhillipsThunder (Lak)RW261998-04-06No160 Lbs5 ft8NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Matvey PetrovThunder (Lak)LW212003-03-12No200 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Mitchell VandeSompelThunder (Lak)D271997-02-11No190 Lbs5 ft10NoNoNo1Pro & Farm600,000$0$0$No
UFA
Link / NHL Link
Nico DawsThunder (Lak)G242000-12-22No205 Lbs6 ft4NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Olen ZellwegerThunder (Lak)D212003-09-10No187 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Owen PickeringThunder (Lak)D202004-01-27Yes200 Lbs6 ft5NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Ryan MastThunder (Lak)D212003-01-14Yes217 Lbs6 ft5NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Ryan O'RourkeThunder (Lak)D222002-05-16No192 Lbs6 ft1NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Santeri HatakkaThunder (Lak)D232001-01-15No190 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Santtu KinnunenThunder (Lak)D251999-03-25No165 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
RFA
Link / NHL Link
Trent MinerThunder (Lak)G232001-02-05No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Tucker RobertsonThunder (Lak)LW212003-06-22No189 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Tye KartyeThunder (Lak)LW232001-04-30No202 Lbs5 ft11NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Xavier BourgaultThunder (Lak)RW222002-10-22No179 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3322.79193 Lbs6 ft10.91484,091$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
3Xavier Bourgault20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Mitchell VandeSompel30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Mitchell VandeSompel40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Mitchell VandeSompel40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Mitchell VandeSompel40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Mitchell VandeSompel40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Xavier Bourgault, , Xavier Bourgault,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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



Thunder 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
1Michael DelZotto1405268449717-17712182093191727749.66%8532382116.9570114184358571258341848.21%30.601036
2Danny Kristo744156157313-302123951048144010.83%1451027213.811521369320222251141.06%30.611016
3Patrick Maroon3629213422617433117274176911.96%46730120.17144155139123920646.06%10.62736
4Matt Halischuk3801071002075014825545090711.80%76528513.911729469501117241034.92%10.78211
5Jayce Hawryluk32579101180-7324278774565612.04%56656120.192039591292241612241.76%00.55524

Thunder Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Chris Mason467254169420.8992.5827974373712011187121802270.746213
2Michael Leighton1587266200.8952.409416181337635700440.76773
3Niklas Svedberg1315260140.8862.53766141432328360130.77854
4Carey Price73501940.9043.0343566222022861023600.82417
5Dan Cloutier92403750.8853.7449762131026951362100.71138

Thunder 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
2017822437011154279314-3541112005113128155-2741131706041151159-87127945873701071112802852087910249162695861119421443306920.91%2667372.56%51001210247.62%818179945.47%742147450.34%174593718228551592804
201882492103333320255654127702221166120464122140111215413519107320515835020711391042985094811138902573856104221942606023.08%2224380.63%41126204155.17%1008189553.19%786142955.00%176497916227801574775
201982422605441323261624123130113016312637411913043111601352598323537860330771181192983090810639882565878133722222856924.21%2186470.64%61208221654.51%956193049.53%654133249.10%1868108115677541523762
2020823226044972702571341161401145140141-1411612033521301161476270421691110689990267608039528862547810123320972255926.22%2395079.08%11006200850.10%1000199450.15%635125050.80%178798216227881608804
202182402503248199164354122120101598742441181302233101901188199367566111076684821320709709669166548982017643885113.14%3355683.28%11289261349.33%1070236045.34%534111347.98%1986139419996011005501
202281363301344151148340191501221817011411718001237078-87715126641721305636541667056754854316524578551649383389.92%3703989.46%21330235856.40%1163231550.24%556107951.53%2013140118855891011511
202382313004411224320241411713031611239033411417013511201128742434216640501035768199606626376591890540112519814246114.39%4457084.27%51363250754.37%1216246049.43%633119552.97%212415241906582976494
202482293804038278295-1741161702015140140041132102023138155-1780278518796240105917528800959940925223767893420274097518.34%3657579.45%31300290944.69%1113254943.66%549135640.49%188913462119604970458
2025813338004422712647401817001311371191841152100311134145-1180271504775050100828527380918923874229761473720493737319.57%3076279.80%11373282648.58%1162251346.24%572127444.90%194614202032563917444
20268235340224520419212411616021339288441191800112112104889204352556112068765418200601594602180753982418433706317.03%3363988.39%21217234052.01%1177233450.43%621116253.44%2061143818945951018520
2027823530031672562263041161802023124101234119120114413212579625646472024086887323590729738851212058775817443616618.28%3134685.30%31428261954.52%1344248454.11%655127151.53%2055147819385881002500
203082224501743199262-634192100542104134-304113240120195128-336419934754614070636116890532547597196055183718643955914.94%3716881.67%31103229348.10%1079225947.76%625126649.37%2099147418415851025529
203182264101338143208-65411717001247797-20419240121466111-457114325439728050523714000461454467179451166617034056516.05%2904584.48%11059208050.91%1121228749.02%556117247.44%1967135119666131046520
203282125301574135247-112417240142373124-51415290015162123-614913522836321049344413340479419415195756973116953203811.88%3084286.36%31304212661.34%1295220258.81%701120658.13%1981134919526051055534
203382254202472206245-3941122201231104121-1741132001241102124-227420635456004065636917120556563573214564775618593374513.35%3225383.54%51187225552.64%1249237252.66%673124254.19%2038142719115861021520
20348233340245420819994116150133310510054117190112110399488208360568010078655816730552566543205859978720373446318.31%3443290.70%31082219949.20%1275250150.98%624119652.17%2099146818495791034539
203582106102225136276-140416290121274135-61414320101362141-793513623136722044404813550417462459234862183720013304112.42%3587379.61%2957202347.31%1102239745.97%583121148.14%1972135819765831012512
2036801843041041217284-6740102302320108129-214082002721109155-466321738560213066687519310580633684232269170816713427120.76%2845979.23%21273230455.25%1292244652.82%689125255.03%185312912015582990483
203782273803428197229-324116160231310110014111220111596129-3376197355552177356637170255258354653210561168718583575114.29%2774583.75%01050220547.62%1180246247.93%587121448.35%2043145619345831008508
20387838250632430626838391912031131471281939191303211159140199930658188721120101779279092892390853232766174920323316820.54%3205184.06%31130256044.14%1045248742.02%533127641.77%178912862018556918434
Total Regular Season163259772006270939045414796-25581531334103134474922852292-781728437903136464122562504-2481555454179181245923101193146014911258426741480137661433912647430641277017617384346969118517.00%6290108582.75%55237864658451.06%226654604649.22%125082497050.09%390902644837877125802231511162
Playoff
2018221660000083602312930000045351010730000038251332831322150002633218620287321241721250284590601931.67%661478.79%134562155.56%30957054.21%20635957.38%482276449205403199
201920128000006755121174000003632495400000312382467109176110836207370215275234668215270588671319.40%501276.00%025254146.58%22446747.97%12631839.62%458262388180368184
2020514000001217-52110000066030300000611-52122234000254161048506018662821061417.14%20670.00%06612751.97%7014548.28%347445.95%10760115499144
2021734000001416-23120000057-242200000990614253900053517104445551885410718846613.04%41587.80%016625764.59%15024760.73%7613058.46%2101491915810253
2023624000001719-23120000058-3312000001211141728450006561840626455217618917224833.33%34876.47%010819954.27%11822053.64%498756.32%157114145407034
2024514000001221-921100000810-230300000411-721221330004351540476938120464711330413.33%16568.75%09118349.73%6514245.77%296942.03%11279129375828
20251257000003950-115320000016142725000002336-131039751140001912833201111201013149813527748816.67%55983.64%013033239.16%13735538.59%6419133.51%2261553569013657
202640400000714-72020000047-32020000037-40712190004215601916138228378620210.00%15286.67%05511249.11%4911144.14%256836.76%9664111345526
2027734000002424031200000121204220000012120624416500013562740777967278957021039410.26%29582.76%115028053.57%15029650.68%6311952.94%221162190539952
20387340000029290413000001820-2321000001192629548300999226091788110273756819427311.11%34682.35%113325651.95%11026142.15%5512643.65%172122179488341
Total Playoff95464900000304305-147252200000155151448212700000149154-592304519823119961137831919198811208743047984118925243756818.13%3607280.00%31496290851.44%1382281449.11%727154147.18%2246144822587981468723

Thunder 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
1Sergei Zubov37103949112856921765.68%64103728.04101020280003300.00%00.9400
2Guillaume Latendresse232021412121744015512.90%853623.333691500030241.49%11.5300
3David Clarkson4515173201511195314910.07%1169515.462681000031234.15%00.9200
4David Steckel22121830194440596020.00%1646421.113691010113061.30%01.2900
5Michael DelZotto4752429155111175945.32%62107622.90224150002200.00%00.5400

Thunder Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Chris Mason51231980.9012.9630821711521531380310.0000
2Carey Price2216510.9172.7013342060721315200.0000
3Michael Leighton73130.9142.8251100242780000.0000
4Vadim Tarasov20100.9033.60500033117000.0000
5Niklas Svedberg40310.8293.192630014820200.0000