Please rotate your device to landscape mode for a better experience.
Login

Thunder
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Marc-André Blondeau | Morale : 40 | Team Overall : 61

Team Leaders

Team Stats
Team Info

General ManagerMarc-André Blondeau
DivisionDivision 1
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team18
Farm Team20
Contract Limit38 / 250
Prospects51


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
1Vincent HinostrozaX100.0060638573587671645864656356866904069N0325775,000$
2Mike HardmanX100.00625255677460557046535054366862040630275775,000$
3Jack StudnickaX100.00605089636867395560525255437356040610275775,000$
4Matej BlumelX100.00515090636776305536505053316656040600261925,000$
5Rory KerinsX100.00545076635680305553505057316056040590245775,000$
6Vladimir TkachevX100.00365076635460555530505050306755040560312925,000$
7Fredrik KarlstromX100.00385090637660555530505050306746040560284775,000$
8Marc MichaelisX100.00384555636160555530505050305855040550311700,000$
9Mikulas Hovorka (R)X100.00535090729180305536605059315961040670251950,000$
10Dennis CholowskiX100.00485090727575375540595160337661040660284775,000$
11Kirill KudryavtsevX100.00495090726481305536705055305869040650222850,000$
12Ludvig Jansson (R)X100.00455090726282305536605063315761040640233855,000$
13Samuel BolducX100.00425155678460558038505350306392040630265775,000$
14Jorian Donovan (R)X100.00565090637072305536505053305653040610222775,000$
15Ian MitchellX100.00475090676560555535505057306857040610275775,000$
16Jordan GrossX100.00435086635960555530505050307454040580311750,000$
17Brogan RaffertyX100.00384555636660555530505050305855040570311750,000$
Scratches
TEAM AVERAGE100.0048508066686945583954515533666004061
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
1Jack LaFontaine100.0066306580555550555052505750040570282838,500$
Scratches
TEAM AVERAGE100.006630658055555055505250575004057
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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 Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Brogan RaffertyThunder (WIN)D311995-05-28CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Dennis CholowskiThunder (WIN)D281998-02-15CANNo210 Lbs6 ft2NoNoN/ANoNo42025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Fredrik KarlstromThunder (WIN)C281998-01-12CANNo200 Lbs6 ft3NoNoN/ANoNo42025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Ian MitchellThunder (WIN)D271999-01-18CANNo192 Lbs6 ft0NoNoN/ANoNo52026-09-09FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Jack LaFontaineThunder (WIN)G281998-01-06CANNo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm838,500$838,500$0$0$No838,500$--------838,500$--------No--------
Jack StudnickaThunder (WIN)C271999-02-18CANNo187 Lbs6 ft1NoNoN/ANoNo52026-09-09FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Jordan GrossThunder (WIN)D311995-05-09CANNo190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Jorian DonovanThunder (WIN)D222004-04-05CANYes200 Lbs6 ft1NoNoDraftNoNo22026-08-19FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------Link
Kirill KudryavtsevThunder (WIN)D222004-02-05CANNo200 Lbs5 ft11NoNoProspectNoNo22025-07-22FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------
Ludvig JanssonThunder (WIN)D232003-12-27CANYes176 Lbs6 ft0NoNoProspectNoNo32026-08-19FalseFalsePro & Farm855,000$855,000$0$0$No855,000$855,000$-------855,000$855,000$-------NoNo-------
Marc MichaelisThunder (WIN)C311995-07-31CANNo187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------
Matej BlumelThunder (WIN)RW262000-05-31CANNo202 Lbs6 ft0NoNoTrade2025-10-01NoNo12024-08-28FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------
Mike HardmanThunder (WIN)RW271999-02-05CANNo205 Lbs6 ft2NoNoN/ANoNo52026-09-09FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Mikulas HovorkaThunder (WIN)D252001-07-01CANYes229 Lbs6 ft6NoNoDraftNoNo12026-08-19FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Link
Rory KerinsThunder (WIN)C242002-04-12CANNo175 Lbs5 ft10NoNoProspectNoNo52026-09-09FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Samuel BolducThunder (WIN)D262000-12-09CANNo224 Lbs6 ft4NoNoTrade2026-07-27NoNo52026-09-09FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Vincent HinostrozaThunder (WIN)LW321994-04-03CANNo183 Lbs5 ft10YesNoAssign ManuallyNoNo52026-09-22FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Vladimir TkachevThunder (WIN)LW311995-10-05CANNo165 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1827.17196 Lbs6 ft13.00806,583$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
134122
230122
326122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
134122
230122
326122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
151122
249122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15112251122
24912249122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
151122
249122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
OverallHome Visitor
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
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%000%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%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price350
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




Thunder Players 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

Thunder Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

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

Thunder Players 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

Thunder Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA