Login

Thunder
GP: 17 | W: 9 | L: 8
GF: 43 | GA: 47 | PP%: 12.50% | PK%: 80.95%
GM : Mickael St-Amour | Morale : 99 | Team Overall : 77
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Thunder
9-8-0, 18pts
1
FINAL
2 Icedogs
14-9-0, 28pts
Team Stats
L3StreakL2
6-3-0Home Record7-4-0
3-5-0Away Record7-5-0
5-4-1Last 10 Games5-4-1
2.53Goals Per Game2.96
2.76Goals Against Per Game2.96
12.50%Power Play Percentage20.73%
80.95%Penalty Kill Percentage85.71%
Icedogs
14-9-0, 28pts
6
FINAL
3 Thunder
9-8-0, 18pts
Team Stats
L2StreakL3
7-4-0Home Record6-3-0
7-5-0Away Record3-5-0
5-4-1Last 10 Games5-4-1
2.96Goals Per Game2.53
2.96Goals Against Per Game2.76
20.73%Power Play Percentage12.50%
85.71%Penalty Kill Percentage80.95%
Team Leaders
Goals
J.T. Miller
6
Assists
Jonathan Huberdeau
11
Points
Jonathan Huberdeau
15
Plus/Minus
Noah Hanifin
6
Wins
Jacob Markstrom
9
Save Percentage
Jacob Markstrom
0.917

Team Stats
Goals For
43
2.53 GFG
Shots For
577
33.94 Avg
Power Play Percentage
12.5%
8 GF
Offensive Zone Start
41.0%
Goals Against
47
2.76 GAA
Shots Against
538
31.65 Avg
Penalty Kill Percentage
81.0%%
12 GA
Defensive Zone Start
38.6%
Team Info

General ManagerMickael St-Amour
CoachPeter Deboer
DivisionRichard
ConferenceConférence Gretzky
Captain
Assistant #1
Assistant #2


Arena Info

NameHouse of Pain
Capacity17,000
Attendance16,075
Season Tickets6,800


Roster Info

Pro Team20
Farm Team9
Contract Limit29 / 55
Prospects7


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap85,000,000$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue17,171,234$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account37,427,407$
Projected Bank Account37,427,407$


Team History

This Season9-8
History46-27-9 (0.561%)
Playoff Appearances1
Playoff Record (W-L)9-8
Stanley Cup1


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 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
1J.T. MillerXXX100.009270878788879292889588869084890828403025,250,000$
2Jonathan HuberdeauXX100.008262868580859193509987858281910818203025,900,000$
3Chris KreiderXX100.008973939392849287637896828186890818203217,822,166$
4Jake GuentzelXX100.007763888779868790628793789477850838102836,000,000$
5Brayden SchennXXX100.009071889086837087718687806487880808003276,500,000$
6William NylanderXXX100.005754958878849188648788737778840807802737,500,000$
7Barclay GoodrowXX100.008867818087828875757674875279810817403063,641,667$
8Kyle PalmieriXX100.008065828782817778507679717384870797403241,500,000$
9Mathieu JosephXXX100.00876391898380767652767586537275080730261925,000$
10Cole Caufield (R)X100.006053968773827582507885648169760807302221,308,333$
11Patric HornqvistX100.00896893818578717650767572569086064730362756,000$
12Eric Robinson (R)X100.00856294818479747550767482527173075720281975,000$
13Noah HanifinX100.007464959282879379508474825278810647802634,950,000$
14Erik JohnsonX100.009274938395838673507373905187880797803526,000,000$
15Christopher TanevX100.007258948777869474507770935082840787703331,851,001$
16Erik KarlssonX100.006858949378895882508579695887900737603316,142,000$
17Brenden DillonX100.009378827692848970507367795086840797503231,300,000$
18Dougie HamiltonX100.008571888589877178508076637283860517503079,000,000$
Scratches
Farm Team
1Loui ErikssonXX100.005761988376788069667365715090830826903811,250,009$
2Kyle TurrisXX100.00715996827774406668676571648678085670343756,000$
3Brendan SmithX100.008868838685794969506671735081770747003411,000,000$
4Gustav Lindstrom (R)X100.00775592847782706850716570506871084690242850,000$
5Michal KempnyX100.008661788383814066506567705073730826803311,000,000$
6Jakub Zboril (R)X100.00925791898681406550676369506870082680261725,000$
7Scott HarringtonX100.008062828082804063506264775072720826703011,633,333$
8Kale Clague (R)X100.00685488927382407150736958506872082670251761,250$
TEAM AVERAGE100.0081659086848482815781807966818407677
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
1Jacob Markstrom100.00809290928283848285848480860818203356,000,000$
2Semyon Varlamov100.00747676887573767275747589860797603521,100,000$
Scratches
Farm Team
1Pavel Francouz100.00797169807779767576757469740837303312,000,000$
TEAM AVERAGE100.007784839079788077807980858608079
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Peter Deboer81838992918499CAN5321,500,000$


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
1Jonathan HuberdeauThunderLW/RW1741115116027177720435.19%1234220.16123864000000042.86%2895000.8800000211
2J.T. MillerThunderC/LW/RW17681402410264547233812.77%1439223.090336630001524055.34%571106000.7100101122
3William NylanderThunderC/LW/RW176713520201848143412.50%831718.65022346000081162.50%16107000.8200000201
4Chris KreiderThunderLW/RW174812-76029194917238.16%730117.743251163000000052.94%1797000.8000000010
5Jake GuentzelThunderLW/RW1765110115352255152610.91%1129017.111122470000162042.86%14157000.7600100010
6Cole CaufieldThunderLW1743720061133142412.12%018010.6300000000000050.00%452000.7700000101
7Noah HanifinThunderD17066640182124790.00%2742525.06033365000039000.00%01613000.2800000001
8Brayden SchennThunderC/LW/RW17336012032293113189.68%729017.101124460001180044.55%202117100.4100000000
9Erik JohnsonThunderD170665952436201180.00%2642224.8400000000262000.00%0620000.2800010001
10Barclay GoodrowThunderC/LW1732526022231981915.79%1024214.27000000000550255.14%10737000.4100000110
11Dougie HamiltonThunderD17145-280281716296.25%1634220.1410146500007000.00%0710000.2900000000
12Kyle PalmieriThunderLW/RW17123220267369262.78%219411.4200003000000050.00%1441000.3100000010
13Eric RobinsonThunderLW17213-2201615178711.76%31619.49000000000260033.33%655000.3700000100
14Erik KarlssonThunderD17123-180122327863.70%2031518.5810134600001100.00%086000.1900000010
15Christopher TanevThunderD17022-760111723390.00%1535020.60011547000062000.00%0210000.1100000000
16Patric HornqvistThunderRW17112-1409615396.67%11337.8500000000000033.33%342000.3001000000
17Brenden DillonThunderD17011-1180222311340.00%1022313.1300000000034000.00%034000.0900000000
18Mathieu JosephThunderC/LW/RW17101-2601511298133.45%61649.68000010000261042.03%6953000.1200000000
Team Total or Average30643721150144203783605771863257.45%195509216.64815234956500044139351.67%1051132122100.4501211887
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
1Jacob MarkstromThunder179620.9172.6110130044528255020.00%0170121
2Semyon VarlamovThunder10000.8752.402500185000.00%0017000
Team Total or Average189620.9162.60103800455362600201717121


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 Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Barclay GoodrowThunderC/LW301993-02-26 16:12:04No215 Lbs6 ft2NoNoNo6Pro Only3,641,667$3,641,667$0$No3,641,667$3,641,667$3,641,667$3,641,667$3,641,667$
Brayden SchennThunderC/LW/RW321991-08-22 09:26:19No195 Lbs6 ft1NoNoNo7Pro Only6,500,000$6,500,000$0$No6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$6,500,000$Link
Brenden DillonThunderD321990-11-13 03:26:19No225 Lbs6 ft3NoNoNo3Pro Only1,300,000$1,300,000$0$No1,300,000$1,300,000$Link
Chris KreiderThunderLW/RW321991-04-30 09:26:19No226 Lbs6 ft3NoNoNo1Pro Only7,822,166$7,822,166$0$NoLink
Christopher TanevThunderD331989-12-20 21:26:19No185 Lbs6 ft2NoNoNo3Pro Only1,851,001$1,851,001$0$No1,851,001$1,851,001$Link
Cole CaufieldThunderLW222001-01-02 16:37:53Yes174 Lbs5 ft7NoNoNo2Pro & Farm1,308,333$1,308,333$0$No1,308,333$
Dougie HamiltonThunderD301993-06-17 21:26:19No229 Lbs6 ft6NoNoNo7Pro Only9,000,000$9,000,000$0$No9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$9,000,000$Link
Eric RobinsonThunderLW281995-06-14 14:33:13Yes200 Lbs6 ft2NoNoNo1Pro & Farm975,000$975,000$0$NoLink
Erik JohnsonThunderD351988-03-21 15:26:19No232 Lbs6 ft4NoNoNo2Pro Only6,000,000$6,000,000$0$No6,000,000$Link
Erik KarlssonThunderD331990-05-31 03:26:19No191 Lbs6 ft0NoNoNo1Pro Only6,142,000$6,142,000$0$NoLink
J.T. MillerThunderC/LW/RW301993-03-14 21:26:19No218 Lbs6 ft1NoNoNo2Pro Only5,250,000$5,250,000$0$No5,250,000$Link
Jacob MarkstromThunderG331990-01-31 03:26:20No206 Lbs6 ft6NoNoNo5Pro Only6,000,000$6,000,000$0$No6,000,000$6,000,000$6,000,000$6,000,000$
Jake GuentzelThunderLW/RW281994-10-06 03:26:19No180 Lbs5 ft11NoNoNo3Pro Only6,000,000$6,000,000$0$No6,000,000$6,000,000$Link
Jonathan HuberdeauThunderLW/RW301993-06-04 21:26:19No188 Lbs6 ft1NoNoNo2Pro & Farm5,900,000$5,900,000$0$No5,900,000$Link
Kyle PalmieriThunderLW/RW321991-02-01 09:26:19No195 Lbs5 ft11NoNoNo4Pro & Farm1,500,000$1,500,000$0$No1,500,000$1,500,000$1,500,000$Link
Mathieu JosephThunderC/LW/RW261997-02-09 16:15:30No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$NoLink
Noah HanifinThunderD261997-01-25 21:26:19No206 Lbs6 ft3NoNoNo3Pro Only4,950,000$4,950,000$0$No4,950,000$4,950,000$Link
Patric HornqvistThunderRW361987-01-01 09:26:19No189 Lbs5 ft11NoNoNo2Pro Only756,000$756,000$0$No756,000$Link
Semyon VarlamovThunderG351988-04-27 15:26:20No205 Lbs6 ft2NoNoNo2Pro Only1,100,000$1,100,000$0$No1,100,000$
William NylanderThunderC/LW/RW271996-05-01 15:26:19No190 Lbs6 ft0NoNoNo3Pro Only7,500,000$7,500,000$0$No7,500,000$7,500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2030.50202 Lbs6 ft13.004,221,058$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
84,421,167$68,557,001$48,242,668$26,641,667$25,141,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan HuberdeauJ.T. MillerJake Guentzel40113
2Chris KreiderBrayden SchennWilliam Nylander30113
3Cole CaufieldBarclay GoodrowKyle Palmieri20122
4Eric RobinsonMathieu JosephPatric Hornqvist10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonNoah Hanifin40122
2Dougie HamiltonErik Karlsson30122
3Christopher TanevBrenden Dillon20122
4Erik JohnsonChristopher Tanev10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris KreiderJ.T. MillerJonathan Huberdeau60005
2Jake GuentzelBrayden SchennWilliam Nylander40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah HanifinDougie Hamilton60005
2Christopher TanevErik Karlsson40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1J.T. MillerBarclay Goodrow60122
2Mathieu JosephEric Robinson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonChristopher Tanev60122
2Noah HanifinBrenden Dillon40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1J.T. Miller60122Erik JohnsonChristopher Tanev60122
2Chris Kreider40122Noah HanifinBrenden Dillon40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1J.T. MillerChris Kreider60122
2Jonathan HuberdeauJake Guentzel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonNoah Hanifin60122
2Dougie HamiltonErik Karlsson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris KreiderJ.T. MillerJonathan HuberdeauErik JohnsonChristopher Tanev
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Chris KreiderJ.T. MillerJonathan HuberdeauErik JohnsonChristopher Tanev
Extra Forwards
Normal PowerPlayPenalty Kill
J.T. Miller, Kyle Palmieri, Barclay GoodrowChris Kreider, Kyle PalmieriBarclay Goodrow
Extra Defensemen
Normal PowerPlayPenalty Kill
Dougie Hamilton, Brenden Dillon, Noah HanifinNoah HanifinBrenden Dillon, Christopher Tanev
Penalty Shots
J.T. Miller, Chris Kreider, Jonathan Huberdeau, Jake Guentzel, Brayden Schenn
Goalie
#1 : Jacob Markstrom, #2 : Semyon Varlamov


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
1Dogbones54100000141222200000062432100000810-280.8001423370063411836083391148664810211218.18%20480.00%021543149.88%21740653.45%11121451.87%11269105448138
2Flash74300000151504310000010823120000057-280.5711525402065402177569721229783716632412.50%16287.50%021543149.88%21740653.45%11121451.87%156891476212163
3Icedogs514000001420-631200000912-32020000058-320.2001424380074211775460491416151591102129.52%27677.78%021543149.88%21740653.45%11121451.87%11566109478942
Total1798000004347-49630000025223835000001825-7180.52943721152019121025771892121601653819514437864812.50%631280.95%021543149.88%21740653.45%11121451.87%384225363155292145
_Since Last GM Reset1798000004347-49630000025223835000001825-7180.52943721152019121025771892121601653819514437864812.50%631280.95%021543149.88%21740653.45%11121451.87%384225363155292145
_Vs Conference1798000004347-49630000025223835000001825-7180.52943721152019121025771892121601653819514437864812.50%631280.95%021543149.88%21740653.45%11121451.87%384225363155292145

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1718L3437211557753819514437820
All Games
GPWLOTWOTL SOWSOLGFGA
179800004347
Home Games
GPWLOTWOTL SOWSOLGFGA
96300002522
Visitor Games
GPWLOTWOTL SOWSOLGFGA
83500001825
Last 10 Games
WLOTWOTL SOWSOL
342100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
64812.50%631280.95%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
189212160161912102
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
21543149.88%21740653.45%11121451.87%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
384225363155292145


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
1 - 2023-03-123Flash4Thunder3BLXBoxScore
3 - 2023-03-1411Flash2Thunder3BWBoxScore
5 - 2023-03-1619Thunder1Flash3ALBoxScore
7 - 2023-03-1827Thunder1Flash3ALBoxScore
9 - 2023-03-2035Flash1Thunder2BWBoxScore
11 - 2023-03-2243Thunder3Flash1AWBoxScore
13 - 2023-03-2451Flash1Thunder2BWBoxScore
15 - 2023-03-2658Thunder1Dogbones6ALBoxScore
17 - 2023-03-2862Thunder3Dogbones2AWBoxScore
19 - 2023-03-3066Dogbones1Thunder2BWXBoxScore
21 - 2023-04-0170Dogbones1Thunder4BWBoxScore
23 - 2023-04-0374Thunder4Dogbones2AWBoxScore
29 - 2023-04-0985Icedogs3Thunder2BLXBoxScore
31 - 2023-04-1187Icedogs3Thunder4BWXBoxScore
33 - 2023-04-1389Thunder4Icedogs6ALBoxScore
35 - 2023-04-1591Thunder1Icedogs2ALBoxScore
37 - 2023-04-1793Icedogs6Thunder3BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity40004000400040001000
Ticket Price125775535200
Attendance31,97033,83933,86336,0009,000
Attendance PCT88.81%94.00%94.06%100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
32 16075 - 94.56% 1,907,915$17,171,234$17000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 84,421,167$ 84,421,167$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 20 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 37,427,407$ 37,427,407$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 85,000,000$ 85,000,000$ -60,000,000$



Depth Chart

Left WingCenterRight Wing
J.T. MillerAGE:30PO:0OV:84
Jonathan HuberdeauAGE:30PO:0OV:82
Chris KreiderAGE:32PO:0OV:82
Jake GuentzelAGE:28PO:0OV:81
Brayden SchennAGE:32PO:0OV:80
William NylanderAGE:27PO:0OV:78
Barclay GoodrowAGE:30PO:0OV:74
Kyle PalmieriAGE:32PO:0OV:74
Mathieu JosephAGE:26PO:0OV:73
Cole Caufield (R)AGE:22PO:0OV:73
Eric Robinson (R)AGE:28PO:0OV:72
Loui ErikssonAGE:38PO:0OV:69
J.T. MillerAGE:30PO:0OV:84
Brayden SchennAGE:32PO:0OV:80
William NylanderAGE:27PO:0OV:78
Barclay GoodrowAGE:30PO:0OV:74
Mathieu JosephAGE:26PO:0OV:73
Kyle TurrisAGE:34PO:0OV:67
J.T. MillerAGE:30PO:0OV:84
Jonathan HuberdeauAGE:30PO:0OV:82
Chris KreiderAGE:32PO:0OV:82
Jake GuentzelAGE:28PO:0OV:81
Brayden SchennAGE:32PO:0OV:80
William NylanderAGE:27PO:0OV:78
Kyle PalmieriAGE:32PO:0OV:74
Mathieu JosephAGE:26PO:0OV:73
Patric HornqvistAGE:36PO:0OV:73
Loui ErikssonAGE:38PO:0OV:69
Kyle TurrisAGE:34PO:0OV:67

Defense #1Defense #2Goalie
Noah HanifinAGE:26PO:0OV:78
Erik JohnsonAGE:35PO:0OV:78
Christopher TanevAGE:33PO:0OV:77
Erik KarlssonAGE:33PO:0OV:76
Brenden DillonAGE:32PO:0OV:75
Dougie HamiltonAGE:30PO:0OV:75
Brendan SmithAGE:34PO:0OV:70
Gustav Lindstrom (R)AGE:24PO:0OV:69
Michal KempnyAGE:33PO:0OV:68
Jakub Zboril (R)AGE:26PO:0OV:68
Scott HarringtonAGE:30PO:0OV:67
Kale Clague (R)AGE:25PO:0OV:67
Jacob MarkstromAGE:33PO:0OV:82
Semyon VarlamovAGE:35PO:0OV:76
Pavel FrancouzAGE:33PO:0OV:73

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
Alex DostieThunder
Grigori DenisenkoThunder
Joey AndersonThunder
Marc McNultyThunder
Mattias NorlinderThunder202041
Olli JuoleviThunder
Sheldon RempalThunder201887

Draft Picks

Year R1R2R3R4R5
2024THU PIR
2025BJT
2026SEN THU CHI
2027THU




STHS News Database File Not Found. Please create one from the League News Management or the STHS.




Thunder Trade History

[2023-06-28 23:13:31] - Thunder was eliminated at round 3 of year 2022.
[2023-06-09 05:25:33] - Bolt didn't make playoff for year 2022.
[2023-05-24 22:11:21] - TRADE : From Oilers to Thunder : Dougie Hamilton (75), Noah Hanifin (78), Patric Hornqvist (73), Eric Robinson (72), Y:2024-RND:3-PIR.
[2023-05-24 22:11:21] - TRADE : From Thunder to Oilers : Charlie Coyle (76), Cody Ceci (76), Dmitry Kulikov (75), Jakob Silfverberg (72), Carter Rowney (69), Patrik Nemeth (71), Y:2023-RND:1-OLS.
[2023-05-06 16:24:08] - TRADE : From Thunder to Oilers : Ilya samsonov (76), Y:2027-RND:3-THU.
[2023-05-06 16:24:08] - TRADE : From Oilers to Thunder : Semyon Varlamov (76).
[2023-04-27 20:04:51] - TRADE : From Thunder to Oilers : Clayton Keller (78).
[2023-04-27 20:04:51] - TRADE : From Oilers to Thunder : Erik Karlsson (76), Kyle Turris (67), Y:2023-RND:1-OLS.
[2023-04-11 19:09:46] - TRADE : From Oilers to Thunder : Jonathan Huberdeau (82), Mathieu Joseph (73), Christopher Tanev (77), Barclay Goodrow (74), Brenden Dillon (75).
[2023-04-11 19:09:46] - TRADE : From Thunder to Oilers : Tyler Toffoli (76), Dillon Dubé (71), Erik Cernak (74), Seth Jones (77).
[2023-03-15 21:34:35] - TRADE : From Oilers to Thunder : J.T. Miller (84), Chris Kreider (82).
[2023-03-15 21:34:35] - TRADE : From Thunder to Oilers : Nico Hischier (79), Brandon Tanev (74), Y:2027-RND:1-THU.
[2023-03-10 12:05:56] - Carter Rowney was added to Thunder.
[2023-03-07 17:00:03] - TRADE : From Whalers to Thunder : Brandon Tanev (74).
[2023-03-07 17:00:03] - TRADE : From Thunder to Whalers : Ville Husso (77).
[2023-03-06 21:01:00] - TRADE : From Thunder to Blue Jackets : Y:2027-RND:2-THU.
[2023-03-06 21:01:00] - TRADE : From Blue Jackets to Thunder : Erik Johnson (78).
[2023-03-06 20:42:39] - Brendan Smith was added to Thunder.
[2023-03-05 21:24:35] - TRADE : From Thunder to Oilers : Gustav Forsling (77), Y:2026-RND:1-THU, Y:2026-RND:1-WOL, Y:2027-RND:3-BUL, Y:2024-RND:4-STL, Y:2024-RND:4-FLS.
[2023-03-05 21:24:35] - TRADE : From Oilers to Thunder : Brayden Schenn (80), Jacob Markstrom (82), Ville Husso (77), Loui Eriksson (69).
[2023-03-05 21:18:03] - TRADE : From Thunder to Bulldogs : Anze Kopitar (80), Y:2027-RND:5-THU.
[2023-03-05 21:18:03] - TRADE : From Bulldogs to Thunder : Y:2026-RND:1-WOL, Y:2027-RND:3-BUL.
[2023-02-27 20:26:40] - Connor Carrick was released.
[2023-02-27 20:26:40] - Thunder paid 0 $ to release Connor Carrick.
[2023-02-27 20:25:55] - Dominik Simon was released.
[2023-02-27 20:25:55] - Thunder paid 0 $ to release Dominik Simon.
[2023-02-27 20:25:28] - Carter Rowney was released.
[2023-02-27 20:25:28] - Thunder paid 0 $ to release Carter Rowney.
[2023-02-23 10:36:25] - Patrik Nemeth signed with Thunder for 725 000 $ for 3 year(s) / Option : No Trade.
[2023-02-23 10:36:25] - Patrik Nemeth was added to Thunder.
[2023-02-15 20:11:49] - Kyle Palmieri signed with Thunder for 1 500 000 $ for 4 year(s) / Option : No Trade.
[2023-02-15 20:11:49] - Kyle Palmieri was added to Thunder.



[2023-09-19 13:28:34] 10 000 000 $ was added to Thunder bank account.
[2023-09-17 21:04:18] 4 500 000 $ was added to Thunder bank account.
[2023-09-17 20:55:35] 5 000 000 $ was added to Thunder bank account.
[2023-06-28 23:13:00] Successfully loaded Thunder lines done with STHS Client - 3.3.5.5
[2023-06-27 21:23:11] Thunder lines for next game are empty. Current rosters/lines are not erased.
[2023-06-26 21:00:05] Thunder lines for next game are empty. Current rosters/lines are not erased.
[2023-06-25 20:01:11] Thunder lines for next game are empty. Current rosters/lines are not erased.
[2023-06-25 11:07:18] Last 30 Days Pro Star : 1 - Claude Giroux of Chiefs (9-6-15) / 2 - Jacob Markstrom of Thunder (0,932) / 3 - Tristan Jarry of Penguins (0,933)
[2023-06-21 10:58:35] Last 7 Days Pro Star : 1 - Alexander Ovechkin of Penguins (3-3-6) / 2 - Ilya Sorokin of Mariners (0,956) / 3 - Jacob Markstrom of Thunder (0,918)



No Injury or Suspension.


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
1Jamie Benn154551051601031730037150011.00%91344422.37143145521341410353.8210.93219
2Tyler Seguin154708515575528020262111.27%73328221.3117314877213209352.6000.94416
3Christian Dvorak148334679-16331811803559.30%54229215.49712192932597053.8700.6905
4Brandon Saad822939686279810428910.03%37157819.25913223311276441.0910.86211
5Yegor Sharangovich80303363128969728310.60%40155819.48135183900045341.5810.8127

Thunder Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alex Nedeljkovic783828120.9142.6847184121124661190320.67349
2David Rittich50261950.9222.613007221311670869110.76517
3Chris Driedger57203160.9142.8834442016519271005720.62532
4Carter Hutton135600.9172.477300030362173011.0003
5Pekka Rinne154720.9013.448192047473209100.5006

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
202082303805243183221-384117160014386101-154113220510097120-23831832944772249616410225669383871730275281867215242405020.83%2605180.38%2806163249.39%930194547.81%495102248.43%159885618827721480737
202182283706155236257-2141171603023122119341112103132114138-24842363966323060957013281291797690051274090661717402514819.12%2275277.09%4997196950.63%971187951.68%648120953.60%1786106117727321416702
202282312905458236231541111603335121132-11412013021231159916942363906262168728616257677985791772260385780217112675520.60%2764882.61%4947181852.09%960191750.08%572112250.98%170994417987571488750
Total Regular Season823727011882702353541141700154120124-4412310010341501113910127044271244731088030275393692687493257182269618462645420.45%2395776.15%4963189150.93%977192350.81%628120552.12%1860112517357251403704
Playoff
202125169000007565101183000003326714860000042393327513521000222424588725929031622857293208554891213.48%791975.95%331161050.98%29857252.10%17935250.85%555324563225435221
2022734000001817132100000107341300000810-261832500154902106558870209716914724625.00%18288.89%08315354.25%6714446.53%529952.53%142761496613065
Total Playoff1798000004347-49630000025223835000001825-71843721152019121025771892121601653819514437864812.50%631280.95%021543149.88%21740653.45%11121451.87%384225363155292145

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
1Tyler Seguin321217291960451309.23%1867020.9437102210113143.9400.8700
2Jamie Benn32131427-353595210812.04%1966720.8765112500003257.8400.8100
3Sean Couturier25615212143952649.38%2058423.40257700030052.6800.7200
4Drew Doughty25218209134645504.00%3872028.8113470111100.00%00.5600
5Blake Coleman25791631442406311.11%940216.10213200002138.4600.7900

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 Driedger2415720.9232.5714712063822447100.00%0
2Alex Nedeljkovic73310.9192.42421011720992000.00%0
3Pekka Rinne11000.9641.00600012819000.00%0
4Adin Hill10000.8572.862100172000.00%0