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Team Leaders

Team Stats
Team Info
General ManagerMarco Lemay
DivisionAtlantic
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance
Season Tickets300
Roster Info
Pro Team30
Farm Team21
Contract Limit51 / 50
Prospects41
Team History
This Season0-0-0 (0PTS)
History840-702-153 (0.496%)
Playoff Appearances7
Playoff Record (W-L)27-30
Stanley Cup0


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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
# 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
1Jansen HarkinsX100.009958777662717352864956669982774528630282850,000$
2Oskar BackX100.0049548775737592524048568140767660246302511,800,000$
3Georgii MerkulovX100.003938798446796961406358706576786020630251925,000$
4Nicolas Aube-KubelX100.0083617175687161494049506273847840205902900$
5Brad LambertX100.0061438579507260554050606040707175205902200$
6Jakub BrabenecX100.005557797558716146404546694070717520560221925,000$
7Dylan Roobroeck (R)X100.008360657578817140403743509068758020550212925,000$
8Brett HarrisonX100.005548877566675740403644624070697520530221925,000$
9Alexis GendronX100.005355727554665643404046504070687520520221925,000$
10Ilya UsauX100.0053478475566050397034445540746765205102400$
11Xavier SimoneauX100.0046496475416050367035387040746765205102400$
12Riley KidneyX100.005150757553605036704230644070657520510221925,000$
13Justin Ertel (R)X100.006452797559605032402934504070657520480222925,000$
14Nolan AllanX100.007349697562686339404138534070697520570221750,000$
15Dyllan Gill (R)X100.006950857564555034402740574068628020550212925,000$
16Daniil Misyul (R)X100.0074606975695550324031325040766660205402500$
17Leo LoofX100.004945787563555031402735584072647020530231925,000$
Scratches
1Viljami Marjala (R)X100.0040328491478171597069495240707675206102200$
2Ilya NikolaevX100.0053468475596050337028385540746765204902400$
3Andrei BakanovX100.0063548375726050254020305540726670204702300$
4Michael MilneX100.0048447275516050314028345040726670204702300$
5Guillaume Richard (R)X100.0049388485597469384033427040707275206102200$
6Loke Johansson (R)X100.0061478179745550254020306240666185205502000$
7Mattias Havelid (R)X100.0035298393405550414039446240686280205502100$
8Etienne Morin (R)X100.0045358587545550324032335440666185205302000$
TEAM AVERAGE 100.00584878785965584048384259477269702055
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
1Michael Hutchinson100.00755060925050505050504096731020590352575,000$
2Domenic DiVincentiis (R)100.00756162885050505050508968598020570212925,000$
Scratches
1Alexei Melnichuk100.007550608750505050505099806550205702700$
2Arno Tiefensee (R)100.007050609650505050505040726170205702300$
3Scott Ratzlaff (R)100.007050608550505050505040665885205602000$
TEAM AVERAGE100.0073526090505050505050627663592057
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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2040 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2041 204220432044204520462047Salary Year 9Salary Year 10Link
Alexei MelnichukPantheres (Win)G271998-06-29No190 Lbs6 ft2NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Alexis GendronPantheres (Win)LW222003-12-30No189 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Andrei BakanovPantheres (Win)C232002-05-28No213 Lbs6 ft2NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Arno TiefenseePantheres (Win)G232002-05-01Yes212 Lbs6 ft4NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Brad LambertPantheres (Win)C222003-12-19No173 Lbs6 ft1NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Brett HarrisonPantheres (Win)LW222003-06-07No201 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Daniil MisyulPantheres (Win)D252000-11-20Yes204 Lbs6 ft3NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Domenic DiVincentiisPantheres (Win)G212004-03-04Yes194 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Dylan RoobroeckPantheres (Win)LW212004-07-27Yes205 Lbs6 ft7NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Dyllan GillPantheres (Win)D212004-06-07Yes194 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Etienne MorinPantheres (Win)D202005-03-09Yes185 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Georgii MerkulovPantheres (Win)LW252000-10-10No174 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Guillaume RichardPantheres (Win)D222003-02-10Yes187 Lbs6 ft2NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Ilya NikolaevPantheres (Win)C242001-06-26No195 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Ilya UsauPantheres (Win)C242001-08-03No189 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Jakub BrabenecPantheres (Win)LW222003-09-11No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Jansen HarkinsPantheres (Win)C281997-05-23No197 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$
UFA
Link / NHL Link
Justin ErtelPantheres (Win)LW222003-05-27Yes187 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Leo LoofPantheres (Win)D232002-04-05No200 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Loke JohanssonPantheres (Win)D202005-12-14Yes213 Lbs6 ft3NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Mattias HavelidPantheres (Win)D212004-01-01Yes165 Lbs5 ft9NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Michael HutchinsonPantheres (Win)G351990-03-02No192 Lbs6 ft3NoNoNo2Pro & Farm575,000$0$0$No575,000$
UFA
Link / NHL Link
Michael MilnePantheres (Win)LW232002-09-21No187 Lbs5 ft10NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Nicolas Aube-KubelPantheres (Win)RW291996-05-10No213 Lbs6 ft0NoNoNo0Pro & Farm
UFA
0$0$NoLink / NHL Link
Nolan AllanPantheres (Win)D222003-04-28No194 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Oskar BackPantheres (Win)C252000-03-12No207 Lbs6 ft4NoNoNo1Pro & Farm1,800,000$0$0$No
RFA
Link / NHL Link
Riley KidneyPantheres (Win)C222003-03-25No188 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Scott RatzlaffPantheres (Win)G202005-03-09Yes188 Lbs6 ft1NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Viljami MarjalaPantheres (Win)C222003-01-29Yes172 Lbs6 ft0NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Xavier SimoneauPantheres (Win)C242001-05-19No180 Lbs5 ft7NoNoNo0Pro & Farm
RFA
0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3023.33193 Lbs6 ft10.67440,833$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
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 :


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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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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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



Pantheres 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
1Adam Foote1371275452727216149318491999255310.77%7792323016.946711117829145962411547.77%100.63934
2Alexander Burmistrov687194278472-2270116352113167911.55%2021593323.194897145332761351331757.23%70.591773
3Emanuel Peter59589150239-39332604125583510.66%1021018217.111237491061231317456.14%00.471032
4Stuart Percy71146179225-5035089667238911.83%4521059014.9031538425806627518.18%10.42612
5Dwight King44689128217827361255979111.25%66954321.402443671863362714345.39%10.451137

Pantheres Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jeff Drouin-Deslauriers2048787250.9022.72120842310547555621311360.708113
2Philipp Grubauer1628264140.9132.09972281733838800330.77397
3Allen York137725290.9021.928149271326126730620.76760
4Scott Wedgewood1486271150.8812.64872214838432240930.69265
5Cristobal Huet86472690.9112.70497323322425041054600.70634

Pantheres 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
201782422601445286229574126110012115310053411615013241331294902864667520307810994259607939478272504828157919002846723.59%2915680.76%4895183548.77%989207247.73%640138246.31%165284418728881642816
201882292903777253260-741161302235132128441131601542121132-1171253416669300659385233606447958482583874121318242175023.04%2456374.29%9825172447.85%882204043.24%579128545.06%159977316788221728873
201981333501327245250-541132100205104131-27402014011221411192271245404649310629387227005948078572427799149117462155626.05%2374680.59%4824172547.77%941188749.87%568118847.81%162880415797961707871
202082283305349251257-641151701233126123341131604116125134-969251404655210549098232105578798562431803150318802015326.37%2386074.79%3850180247.17%890195345.57%550117146.97%165081616218051728878
2021824133002331661615412116001218786141201700112797548416630547119060604313830457441479158244598118293796416.89%4075087.71%31220222054.95%1182232550.84%601113552.95%2024139819095971022523
2022812936011104152152041191401052857015401022001526782-1561152252404212066403514500508476444163946599519323695815.72%4205287.62%31156220452.45%1213232752.13%571108152.82%1995136419116041029517
20238135290236620519784016130215310596941191600213100101-177205355560360646667176805695676151839531104219474065513.55%4617084.82%31461240460.77%1403240458.36%670115657.96%201814021911585998510
202482284002615180215-35411817002138792-54110230240293123-3073180310490270616254164205315715201906577102419973735113.67%4196784.01%41294223058.03%1396245156.96%659116956.37%1986136419466091034514
202582264201166184213-294112210113394107-134114210003390106-167318430649018061635316420524568524197056476518583745213.90%3265682.82%41302226757.43%1346240356.01%659117256.23%1989136419456071047533
202682283204576173178-5411416012358487-3411416033418991-289173292465010039556816740496582564203456498619263474713.54%4155087.95%51188232051.21%1369272350.28%590113352.07%1915129420436291048518
202782283103776183206-2341151302254102109-7411318015228197-1689183316499110059456915490482531513203055387419673765414.36%3805685.26%51106227848.55%1157250946.11%575112451.16%2094144318725961037537
203082294302323198274-764115220210190124-3441142100222108150-427219836055845074615916690513569574222064875918573795414.25%3255084.62%11080221348.80%1103232847.38%600125347.89%1989138419545871022517
203182105304357149264-115414270303478132-54416260132371132-6148149255404120424355152705074974932007545100819243374011.87%4287881.78%2995220245.19%1100238446.14%521115944.95%1908128520476231042516
203282373105243211189224119160220210190114118150304111099119721136857928075695818190596576628176749594919303635715.70%3876283.98%61083234346.22%1046237544.04%502118342.43%2021138919106051034528
20338234350045428026515411916003211471212641151900133133144-1186280516796010104848726510857887884233167089221573125918.91%3826682.72%41208269844.77%1129262742.98%576130244.24%192613602072585977475
203482432901243314266484121140022215613224412215010211581342410131459390714012610083297409679791001248771982122033365516.37%3665784.43%31244281944.13%1173263644.50%601131845.60%186613192127584964459
20358244260333331028624412712011001631402341171402233147146110631058189132012789883146010959951021244870483621373675815.80%3456282.03%61401296047.33%1182257645.89%626136146.00%193013862071580960458
203680313406423310307340142004011156152440171402412154155-185310581891120124997927620922912896247273687020673214915.26%3577778.43%21250266946.83%1209259146.66%577128844.80%183113132107565916435
203782373504321274285-1141162002210132149-17412115021111421366902745117851510283836271392584192532258775986022543606919.17%3507279.43%31226275844.45%1256273945.86%547132441.31%180212632172598972462
203878432207312329256733920130410116412737392390321116512936107329624953121279310182963101595896040238067268820513206018.75%3075781.43%61207269144.85%1130260843.33%563129643.44%176012582040561913436
203982412804801323296274122140140016014020411914034011631567993236139361113491945291294995798822254771480922453326720.18%3626083.43%61210279343.32%1184271443.63%593135643.73%185413222130588961459
Total Regular Season171369670205977859449765006-30857362346029324147250624367085633435603045444724702570-100173849768828138043399363160815991281457672889143681545212638461911366520945416316968117516.86%7448126782.99%86240254915548.88%242805067247.92%123682583647.87%394492615540927134252379111845
Playoff
2017734000002127-6413000001215-332100000912-36213455000512325309183692326813519729620.69%32681.25%08918847.34%8018343.72%6313546.67%15585201896214268
2023734000001721-43120000089-142200000912-3617314800073715706044531604610718039512.82%431174.42%112923056.09%12122154.75%5510751.40%154101176568842
2032734000002425-13210000011101413000001315-262443670008871620496646198479817432618.75%301163.33%09620447.06%8022335.87%4911741.88%168119170478542
2034514000002329-6312000001617-120200000712-522344670009492500765892207514315633412.12%18383.33%113824855.65%8318046.11%4910248.04%146108117346231
20351055000003642-65410000021183514000001524-910367010600014913355011311213038211110126832412.50%451175.56%116334147.80%17536847.55%9719051.05%2281642576911454
2038624000002126-5321000001311230300000815-742140610057811775366553172538116525416.00%37489.19%16318434.24%7220934.45%4911144.14%12182182487633
20391510500000795920752000003928118530000040319207915423300292722159218719818819531170156389851821.18%641379.69%025753348.22%23451845.17%12027443.80%37327637510316983
Total Playoff57273000000221229-8281612000001201081229111800000101121-205422141663700347766411946240653606412188254672115292754717.09%2695978.07%4935192848.50%845190244.43%482103646.53%134893832991321738356

Pantheres 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
1Adam Foote126213455-301351971722538.30%68215917.1469152200053045.85%00.5100
2Stuart Percy14311148713191915.79%925117.99044110000000.00%01.1100
3Alexander Burmistrov1455109626363215.63%525218.02011100010052.48%00.7900
4Brandon Sutter7369402272611.54%318426.34011310131060.87%00.9800
5Tyler Pitlick7268-181930326.25%316824.080331100001041.99%00.9500

Pantheres Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Brian Elliott83310.8843.66443002723298000.0000
2Philipp Grubauer73400.8693.0141900211600000.0000
3Scott Wedgewood73400.8683.6840840251890000.0000
4Daniel Altshuller10001.0000.001300090000.0000