Login


Game Center
Thunder
43-25-7, 93pts
5
FINAL
6 Oceanic
46-22-6, 98pts
Team Stats
OTL2StreakOTW3
21-12-4Home Record21-12-4
22-13-3Away Record25-10-2
5-3-2Last 10 Games7-2-1
3.93Goals Per Game4.00
3.49Goals Against Per Game3.35
20.50%Power Play Percentage17.95%
83.44%Penalty Kill Percentage83.92%
EvilSharks
34-34-6, 74pts
4
FINAL
3 Thunder
43-25-7, 93pts
Team Stats
OTW1StreakOTL2
19-14-4Home Record21-12-4
15-20-2Away Record22-13-3
6-1-3Last 10 Games5-3-2
3.08Goals Per Game3.93
3.31Goals Against Per Game3.49
19.48%Power Play Percentage20.50%
80.71%Penalty Kill Percentage83.44%
Thunder
43-25-7, 93pts
Day 162
Oceanic
46-22-6, 98pts
Team Stats
OTL2StreakOTW3
21-12-4Home Record21-12-4
22-13-3Away Record25-10-2
5-3-2Last 10 Games7-2-1
3.93Goals Per Game4.00
3.49Goals Against Per Game3.35
20.50%Power Play Percentage17.95%
83.44%Penalty Kill Percentage83.92%
Magics
34-33-6, 74pts
Day 165
Thunder
43-25-7, 93pts
Team Stats
W1StreakOTL2
22-15-0Home Record21-12-4
12-18-6Away Record22-13-3
3-7-0Last 10 Games5-3-2
2.58Goals Per Game3.93
2.67Goals Against Per Game3.49
13.24%Power Play Percentage20.50%
86.72%Penalty Kill Percentage83.44%
Magics
34-33-6, 74pts
Day 172
Thunder
43-25-7, 93pts
Team Stats
W1StreakOTL2
22-15-0Home Record21-12-4
12-18-6Away Record22-13-3
3-7-0Last 10 Games5-3-2
2.58Goals Per Game3.93
2.67Goals Against Per Game3.49
13.24%Power Play Percentage20.50%
86.72%Penalty Kill Percentage83.44%
Team Leaders
Xavier BourgaultGoals
Xavier Bourgault
12
Mitchell VandeSompelAssists
Mitchell VandeSompel
24
Mitchell VandeSompelPoints
Mitchell VandeSompel
33
Xavier BourgaultPlus/Minus
Xavier Bourgault
4

Team Stats
Goals For
295
3.93 GFG
Shots For
2691
35.88 Avg
Power Play Percentage
20.5%
66 GF
Offensive Zone Start
40.5%
Goals Against
262
3.49 GAA
Shots Against
2222
29.63 Avg
Penalty Kill Percentage
83.4%
50 GA
Defensive Zone Start
39.2%
Team Info
General ManagerSteve St-Amand
CoachMarco Sturm
DivisionNorth
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team29
Farm Team19
Contract Limit48 / 50
Prospects37
Team History
This Season43-25-7 (93PTS)
History749-720-152 (0.462%)
Playoff Appearances9
Playoff Record (W-L)43-45
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
1Tye KartyeX100.009950807960749656825062694070727539650231750,000$
2Mark KastelicX100.008781707582678652894757674074716539620251910,000$
3Jesse PuljujarviX100.008353857570705852404461684076736039610265850,000$
4Matthew PhillipsX100.004638908140726452405153674076746039580261910,000$
5Marco Kasper (R)X100.004943828755807045704446694064729025580203925,000$
6Colton Dach (R)X100.006359748266605048404749664066638539570213925,000$
7Henrik RybinskiX100.006253827558615138403738704070667539530232925,000$
8Xavier BourgaultX100.005347817554645440403842654068668052530222925,000$
9Johnathan KovacevicX100.0068667675837785564049627740787855516902741,500,000$
10Santeri HatakkaX100.006747837659745152405450794070727539640231925,000$
11Olen Zellweger (R)X100.005341878446826161406259694066748539640213925,000$
12Mitchell VandeSompelX100.006057877552555038403243654078675550570272600,000$
Scratches
1Kristian VesalainenX100.0072538875716050474042505040746765205402511,342,000$
2Jalen Luypen (R)X100.004547789243736338404135654068718020540223925,000$
3Ben McCartneyX100.005658617561605045404941594070657520530231925,000$
4Jake LeschyshynX100.0077467575596050424039445740746765205302511,210,000$
5Jan MysakX100.0057608275477161397029495540687080205202211,017,500$
6Matvey Petrov (R)X100.005239778365625236402844604066648520520213925,000$
7Tucker Robertson (R)X100.005659828952605036402843634066638520520213925,000$
8Jaydon Dureau (R)X100.006052877568605031402636509970657520490232925,000$
9Ethan Samson (R)X100.005438728170676234403236534066678520560213925,000$
10Ryan O'RourkeX100.0060847275597469334031355040687180205502211,017,500$
11Santtu KinnunenX100.005045837548726739404137504074736520550252600,000$
TEAM AVERAGE 100.00625380795968614447414763437069743157
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 Levi (R)100.00815860847270656767677570707558680232750,000$
2Dustin Wolf100.00855160786165676463644070687558650231925,000$
Scratches
1Nico Daws100.00795660946464656463648772687020660241825,000$
2Dennis Hildeby (R)100.00767075996261616062605070667520660232750,000$
3Trent Miner (R)100.00875060886364616162615070677520650232750,000$
4Gage Alexander (R)100.00755060975050505050504068598020570222925,000$
TEAM AVERAGE100.0081566390626262616161577066753365
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marco Sturm66757163757780GER464200,000$


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
1Mitchell VandeSompelThunder (Lak)D7592433-187410128879635499.38%75109414.602461128000021200.00%000000.60060111541
2Xavier BourgaultThunder (Lak)RW75121426416047116112308110.71%116368.4800000000000160.98%4100000.8206000977
Team Total or Average150213859-1490101752032086513010.10%86173111.5424611280000212160.98%4100000.6801201124118
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
Team Total or Average0.0000.0000.000


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 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
Ben McCartneyThunder (Lak)LW232001-07-13No199 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Colton DachThunder (Lak)LW212003-01-04Yes193 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Dennis HildebyThunder (Lak)G232001-08-19Yes222 Lbs6 ft7NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
NHL Link
Devon LeviThunder (Lak)G232001-12-27Yes192 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
NHL Link
Dustin WolfThunder (Lak)G232001-04-16No156 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Ethan SamsonThunder (Lak)D212003-08-23Yes205 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Gage AlexanderThunder (Lak)G222002-07-02Yes205 Lbs6 ft6NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Henrik RybinskiThunder (Lak)RW232001-06-26No189 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Jake LeschyshynThunder (Lak)LW251999-03-10No199 Lbs5 ft11NoNoNo1Pro & Farm1,210,000$0$0$No
RFA
Link / NHL Link
Jalen LuypenThunder (Lak)LW222002-06-28Yes171 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Jan MysakThunder (Lak)C222002-06-24No175 Lbs5 ft11NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Jaydon DureauThunder (Lak)LW232001-01-20Yes173 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Jesse PuljujarviThunder (Lak)RW261998-05-07No201 Lbs6 ft4YesNoNo5Pro & Farm850,000$0$0$No850,000$850,000$850,000$850,000$
UFA
Link / NHL Link
Johnathan KovacevicThunder (Lak)D271997-07-12No223 Lbs6 ft5NoNoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$
UFA
Link / NHL Link
Kristian VesalainenThunder (Lak)LW251999-06-01No207 Lbs6 ft3NoNoNo1Pro & Farm1,342,000$0$0$No
RFA
Link / NHL Link
Marco KasperThunder (Lak)C202004-04-08Yes183 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Mark KastelicThunder (Lak)C251999-03-11No226 Lbs6 ft4NoNoNo1Pro & Farm910,000$0$0$No
RFA
Link / NHL Link
Matthew PhillipsThunder (Lak)RW261998-04-06No160 Lbs5 ft8NoNoNo1Pro & Farm910,000$0$0$No
RFA
Link / NHL Link
Matvey PetrovThunder (Lak)LW212003-03-12Yes200 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Mitchell VandeSompelThunder (Lak)D271997-02-11No190 Lbs5 ft10NoNoNo2Pro & Farm600,000$0$0$No600,000$
UFA
Link / NHL Link
Nico DawsThunder (Lak)G242000-12-22No205 Lbs6 ft4NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Olen ZellwegerThunder (Lak)D212003-09-10Yes182 Lbs5 ft9NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Ryan O'RourkeThunder (Lak)D222002-05-16No192 Lbs6 ft1NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Santeri HatakkaThunder (Lak)D232001-01-15No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Santtu KinnunenThunder (Lak)D251999-03-25No165 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
RFA
Link / NHL Link
Trent MinerThunder (Lak)G232001-02-05Yes198 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
NHL Link
Tucker RobertsonThunder (Lak)LW212003-06-22Yes190 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Tye KartyeThunder (Lak)LW232001-04-30No202 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Xavier BourgaultThunder (Lak)RW222002-10-22No185 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2923.17192 Lbs6 ft12.03921,793$



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 :


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
1Bandits10001000541100010005410000000000021.0005101500119967295790689486053325221600.00%10100.00%11085246943.94%1001238741.94%510123641.26%173012441930535886420
2BaronsOKC1010000045-1000000000001010000045-100.0004711001199672942906894860533188286233.33%4175.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
3BigBadStars422000001315-2211000006602110000079-240.50013253810119967291379068948605398433610820630.00%15566.67%01085246943.94%1001238741.94%510123641.26%173012441930535886420
4Checkers200010016601000000123-11000100043130.750612180011996729879068948605353191850700.00%9188.89%01085246943.94%1001238741.94%510123641.26%173012441930535886420
5Cyclones1000010023-1000000000001000010023-110.500246001199672925906894860532511621100.00%30100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
6Darkness522000012428-4321000001415-1201000011013-350.500244569001199672919890689486053209554013926726.92%19573.68%01085246943.94%1001238741.94%510123641.26%173012441930535886420
7Draveurs11000000963000000000001100000096321.00091827001199672943906894860533994274375.00%20100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
8Eagles1000000123-11000000123-10000000000010.500246001199672935906894860532591616200.00%70100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
9EvilSharks4210010014140210001008712110000067-150.62514264000119967291399068948605312536349621523.81%16475.00%11085246943.94%1001238741.94%510123641.26%173012441930535886420
10Griffins440000002213922000000106422000000127581.0002242640011996729154906894860539432328720525.00%16381.25%01085246943.94%1001238741.94%510123641.26%173012441930535886420
11HC10000010761100000107610000000000021.0007111800119967294890689486053391027304125.00%40100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
12IceBears11000000541110000005410000000000021.00051015001199672936906894860533591624100.00%7185.71%01085246943.94%1001238741.94%510123641.26%173012441930535886420
13IceHawks651000002012832100000871330000001257100.833203959101199672921590689486053143364616323521.74%22386.36%01085246943.94%1001238741.94%510123641.26%173012441930535886420
14IceHogs401010111516-1200010019902010001067-150.625152843001199672916790689486053151323411220315.00%15286.67%01085246943.94%1001238741.94%510123641.26%173012441930535886420
15Iceberg1010000046-21010000046-20000000000000.00048120011996729329068948605346146372150.00%30100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
16Magics321000001410400000000000321000001410440.6671426400011996729909068948605388312882800.00%14285.71%11085246943.94%1001238741.94%510123641.26%173012441930535886420
17Mighty Ducks11000000523110000005230000000000021.000510150011996729379068948605323126198337.50%30100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
18National41300000816-82020000028-62110000068-220.250814220011996729112906894860531063143971700.00%13561.54%01085246943.94%1001238741.94%510123641.26%173012441930535886420
19Nordiques11000000826000000000001100000082621.000816240011996729369068948605321512179444.44%50100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
20Oceanic302001001115-42020000069-31000010056-110.16711223300119967291399068948605312423208014214.29%11190.91%01085246943.94%1001238741.94%510123641.26%173012441930535886420
21Pantheres403010001621-5201010001010020200000611-520.25016314700119967291559068948605315446481278225.00%23673.91%01085246943.94%1001238741.94%510123641.26%173012441930535886420
22Remparts11000000624000000000001100000062421.0006111700119967293190689486053441310255360.00%5180.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
23Roadrunners1010000045-1000000000001010000045-100.000471100119967293190689486053431512253133.33%4175.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
24Sagueneens43001000176112200000010282100100074381.0001732490011996729150906894860537725238925416.00%8187.50%01085246943.94%1001238741.94%510123641.26%173012441930535886420
25Senators4400000016972200000010552200000064281.00016324800119967291299068948605380174111616318.75%16287.50%01085246943.94%1001238741.94%510123641.26%173012441930535886420
26SilverKnights10001000321000000000001000100032121.00036900119967293790689486053341018305120.00%40100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
27Spiders42200000171252110000074321100000108240.500173148001199672914790689486053963441901218.33%17288.24%01085246943.94%1001238741.94%510123641.26%173012441930535886420
28Vikings2110000067-1110000004311010000024-220.5006121800119967297090689486053498176817317.65%4250.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
29WolfPack11000000202110000002020000000000021.000246011199672923906894860532731629300.00%80100.00%01085246943.94%1001238741.94%510123641.26%173012441930535886420
30Wolves413000001012-22020000046-22110000066020.250101727001199672989906894860531113155999111.11%24291.67%01085246943.94%1001238741.94%510123641.26%173012441930535886420
Total753525063242952623337171203113140125153818130321115513718930.6202955608552111996729269190689486053222263271519523226620.50%3025083.44%31085246943.94%1001238741.94%510123641.26%173012441930535886420
_Since Last GM Reset753525063242952623337171203113140125153818130321115513718930.6202955608552111996729269190689486053222263271519523226620.50%3025083.44%31085246943.94%1001238741.94%510123641.26%173012441930535886420
_Vs Conference5728210321221719918281311021011049410291510011111131058680.5962174106272011996729202190689486053165647252114852394418.41%2294381.22%21085246943.94%1001238741.94%510123641.26%173012441930535886420
_Vs Division2213702111976829105301101402812128401010574017340.77397188285001199672982790689486053580165182547961717.71%831087.95%11085246943.94%1001238741.94%510123641.26%173012441930535886420

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
7593OTL229556085526912222632715195221
All Games
GPWLOTWOTL SOWSOLGFGA
7535256324295262
Home Games
GPWLOTWOTL SOWSOLGFGA
3717123113140125
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3818133211155137
Last 10 Games
WLOTWOTL SOWSOL
232210
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3226620.50%3025083.44%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9068948605311996729
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1085246943.94%1001238741.94%510123641.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
173012441930535886420


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
12Thunder5Magics2AWBoxScore
319IceHawks3Thunder1BLBoxScore
430Thunder3IceHawks1AWBoxScore
647IceHawks1Thunder3BWBoxScore
965Thunder4National1AWBoxScore
1175Thunder3Senators2AWBoxScore
1390Darkness5Thunder6BWBoxScore
15108National4Thunder1BLBoxScore
17121Thunder3IceHawks2AWBoxScore
18135Thunder3Wolves4ALBoxScore
21153Oceanic4Thunder3BLBoxScore
23167Thunder6Spiders3AWBoxScore
25184Wolves3Thunder2BLBoxScore
26194Thunder0EvilSharks5ALBoxScore
29213Spiders3Thunder2BLBoxScore
31230Thunder6Magics2AWBoxScore
33240Thunder4IceHogs3AWXXBoxScore
34248Griffins5Thunder6BWBoxScore
38274Sagueneens1Thunder4BWBoxScore
40283Thunder6Darkness8ALBoxScore
43303Mighty Ducks2Thunder5BWBoxScore
45325Thunder3Pantheres5ALBoxScore
47333Wolves3Thunder2BLBoxScore
50356Thunder3SilverKnights2AWXBoxScore
52366Eagles3Thunder2BLXXBoxScore
54385Thunder3Wolves2AWBoxScore
55396Thunder9Draveurs6AWBoxScore
57406Bandits4Thunder5BWXBoxScore
60427Spiders1Thunder5BWBoxScore
62444Thunder6EvilSharks2AWBoxScore
64454Thunder8Nordiques2AWBoxScore
65464Iceberg6Thunder4BLBoxScore
68484Thunder6Remparts2AWBoxScore
69496Senators4Thunder7BWBoxScore
72516Thunder4Sagueneens2AWBoxScore
73527BigBadStars1Thunder3BWBoxScore
75546Thunder6Griffins2AWBoxScore
77557Darkness4Thunder5BWBoxScore
79570Thunder3Senators2AWBoxScore
82588WolfPack0Thunder2BWBoxScore
84602Thunder2Vikings4ALBoxScore
86615Thunder4BaronsOKC5ALBoxScore
87622Griffins1Thunder4BWBoxScore
90647IceHogs5Thunder4BLXXBoxScore
92660Thunder3Magics6ALBoxScore
94671Thunder3Sagueneens2AWXBoxScore
95682BigBadStars5Thunder3BLBoxScore
97699Thunder6Griffins5AWBoxScore
99712Vikings3Thunder4BWBoxScore
102733Thunder2Cyclones3ALXBoxScore
103742Darkness6Thunder3BLBoxScore
107765Thunder4Roadrunners5ALBoxScore
108774Oceanic5Thunder3BLBoxScore
111799Pantheres5Thunder4BLBoxScore
112804Thunder6IceHawks2AWBoxScore
115829Senators1Thunder3BWBoxScore
117838Thunder4BigBadStars2AWBoxScore
119857Thunder2National7ALBoxScore
121865IceHogs4Thunder5BWXBoxScore
125893National4Thunder1BLBoxScore
128917Thunder4Darkness5ALXXBoxScore
130927Checkers3Thunder2BLXXBoxScore
133951IceHawks3Thunder4BWBoxScore
134962Thunder3BigBadStars7ALBoxScore
136980Sagueneens1Thunder6BWBoxScore
138995Thunder4Spiders5ALBoxScore
1401012Pantheres5Thunder6BWXBoxScore
1431030Thunder2IceHogs4ALBoxScore
1461046IceBears4Thunder5BWBoxScore
1491072HC6Thunder7BWXXBoxScore
1511084Thunder3Pantheres6ALBoxScore
1541102EvilSharks3Thunder5BWBoxScore
1571119Thunder4Checkers3AWXBoxScore
1581129Thunder5Oceanic6ALXBoxScore
1601139EvilSharks4Thunder3BLXBoxScore
1621154Thunder-Oceanic-
1651171Magics-Thunder-
Trade Deadline --- Trades can’t be done after this day is simulated!
1721197Magics-Thunder-



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
2038753525063242952623337171203113140125153818130321115513718932955608552111996729269190689486053222263271519523226620.50%3025083.44%31085246943.94%1001238741.94%510123641.26%173012441930535886420
Total Regular Season162959472006270939045304790-26081331134103134474922782289-1181628337903136464122522501-2491549453078971242723101192145514861258425751458137371429112647429591274117583383546960118317.00%6272108482.72%55237414649351.06%226214594649.23%124852493050.08%390312640737789125592228311147
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
Total Playoff88434500000275276-143241900000137131645192600000138145-78627546574011087104762931091010398642774909112123303486518.68%3266679.75%21363265251.40%1272255349.82%672141547.49%2073132520797501385682

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