PHILADELPHIA PHANTOMS
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Kevin K | Morale : 50 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Lauri TukonenX100.00163997574767889469698725891780507723411,125,000$
2Luca CaputiX100.00789033627978708549858391719980050750323851,563$
3Vincent TrocheckX100.00733468747587869942918849487275050752275925,000$
4Ryan MacInnis (R)XXX100.00989231707870728358727363496973050692252675,000$
5Morgan Klimchuk (R)X100.0019199717974837550757264688074050681261650,000$
6Michael McLeod (R)X100.00311189777675747069696467707267050661234750,000$
7Connor McMichael (R)X100.00231780767478716863656457596260050631202750,000$
8John McFarlandXXX100.00435471647464715942656362537867050612281700,000$
9Taylor Cammarata (R)XXX100.0014199686960765250546073547677050602263600,000$
10Karl Henriksson (R)X100.007194696962626465626054566462050592202600,000$
11Nathan Légaré (R)X100.00501673637063605951575359566057050572202550,000$
12Remi ElieX100.00493888617858614244394261456771050532261400,000$
13Bruno GervaisX100.003430996376847488508472975699860507503631,000,000$
14Pierre-Olivier Joseph (R)X100.00641162797271706744695769436672050671215750,000$
15Malte Setkov (R)X100.00803366687857596040606062446055050622221500,000$
16Ville Heinola (R)X100.0023684786769675944656260446872050611202750,000$
17Nikita Okhotyuk (R)X100.00753372636663645244535262405558050592202500,000$
Scratches
1Alexander Holtz (R)X100.0012588767374746356606059616569080621193750,000$
2Brendan Brisson (R)X100.00361974747971776169626358595752080621193650,000$
3Devin SetoguchiX100.00552499617769825056395271689997050600341500,000$
4Luke Tuch (R)X100.00301959656874686458595857605554080592193600,000$
5Mats ZuccarelloXX100.00412099656954675439516052779999050592341700,000$
6Tyler Bertuzzi (R)XX100.00523679687659644650595563497274050582262400,000$
7Alexander Nikishin (R)X100.00655478686569675844595759455954080602193550,000$
8Jacob Moverare (R)X100.00674488657955596544584464566451050602223500,000$
9Axel Andersson (R)X100.00691186647055625444544556355453050572211550,000$
TEAM AVERAGE100.0046277969736870655064626455726905563
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 SP
1Marcus Hogberg100.0063747581739487858165608579050772
Scratches
1Ville Husso100.0071657677696870677567557269050692
2Pyotr Kochetkov (R)100.0062646774657164646563656560050642
3Lukáš Dostál (R)100.0064606174646162605758556252050602
TEAM AVERAGE100.006566707768747169706359716505068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Doug MacLean68788969949456CAN631673,000$


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
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 Current Salary Salary RemainingSalary AverageSalary Ave 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
Alexander Holtz (Out of Payroll)PHILADELPHIA PHANTOMS (PHI)RW191/23/2002 7:35:14 AMYes183 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$40,000$40,000$0$0$Yes750,000$750,000$
Alexander Nikishin (Out of Payroll)PHILADELPHIA PHANTOMS (PHI)D1910/2/2001 7:49:45 AMYes196 Lbs6 ft3NoNoNo3Pro & Farm550,000$550,000$40,000$40,000$0$0$Yes550,000$550,000$
Axel AnderssonPHILADELPHIA PHANTOMS (PHI)D216/1/2000 7:42:11 AMYes209 Lbs6 ft3NoNoNo1Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No
Brendan Brisson (Out of Payroll)PHILADELPHIA PHANTOMS (PHI)C1910/22/2001 8:55:20 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm650,000$650,000$40,000$40,000$0$0$Yes650,000$650,000$
Bruno GervaisPHILADELPHIA PHANTOMS (PHI)D3610/3/1984No209 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$1,000,000$40,000$40,000$100,000$100,000$No1,000,000$1,000,000$
Connor McMichaelPHILADELPHIA PHANTOMS (PHI)C201/15/2001 5:48:11 AMYes188 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$
Devin SetoguchiPHILADELPHIA PHANTOMS (PHI)RW341/1/1987No212 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Jacob MoverarePHILADELPHIA PHANTOMS (PHI)D228/31/1998 9:38:16 AMYes210 Lbs6 ft5NoNoNo3Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$500,000$
John McFarlandPHILADELPHIA PHANTOMS (PHI)C/LW/RW288/12/1992 11:46:56 AMNo201 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$40,000$40,000$70,000$70,000$No
Karl HenrikssonPHILADELPHIA PHANTOMS (PHI)C202/5/2001 7:04:35 AMYes179 Lbs5 ft10NoNoNo2Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No600,000$
Lauri TukonenPHILADELPHIA PHANTOMS (PHI)RW348/8/1986 8:45:48 AMNo193 Lbs6 ft0NoNoNo1Pro & Farm1,125,000$1,125,000$40,000$40,000$112,500$112,500$No
Luca CaputiPHILADELPHIA PHANTOMS (PHI)LW3210/1/1988No217 Lbs6 ft3NoNoNo3Pro & Farm851,563$851,563$40,000$40,000$85,156$85,156$No851,563$851,563$
Luke Tuch (Out of Payroll)PHILADELPHIA PHANTOMS (PHI)LW193/7/2002 10:11:32 AMYes203 Lbs6 ft2NoNoNo3Pro & Farm600,000$600,000$40,000$40,000$0$0$Yes600,000$600,000$
Lukáš DostálPHILADELPHIA PHANTOMS (PHI)G216/22/2000 4:58:28 AMYes177 Lbs6 ft3NoNoNo1Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No
Malte SetkovPHILADELPHIA PHANTOMS (PHI)D221/14/1999 9:02:18 AMYes203 Lbs6 ft7NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Marcus HogbergPHILADELPHIA PHANTOMS (PHI)G2611/25/1994 7:43:28 AMNo214 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Mats ZuccarelloPHILADELPHIA PHANTOMS (PHI)LW/RW349/1/1986No185 Lbs5 ft7NoNoNo1Pro & Farm700,000$700,000$40,000$40,000$70,000$70,000$No
Michael McLeodPHILADELPHIA PHANTOMS (PHI)C232/3/1998 7:24:21 AMYes196 Lbs6 ft4NoNoNo4Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$750,000$750,000$
Morgan KlimchukPHILADELPHIA PHANTOMS (PHI)LW266/22/1995 2:02:23 AMYes182 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No
Nathan LégaréPHILADELPHIA PHANTOMS (PHI)RW201/11/2001 8:23:24 AMYes210 Lbs6 ft2NoNoNo2Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No550,000$
Nikita OkhotyukPHILADELPHIA PHANTOMS (PHI)D206/1/2001 7:12:31 AMYes201 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Pierre-Olivier JosephPHILADELPHIA PHANTOMS (PHI)D217/1/1999 5:38:02 AMYes175 Lbs6 ft5NoNoNo5Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$750,000$750,000$750,000$
Pyotr KochetkovPHILADELPHIA PHANTOMS (PHI)G226/25/1999 5:51:55 AMYes207 Lbs6 ft1NoNoNo2Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No650,000$
Remi EliePHILADELPHIA PHANTOMS (PHI)LW264/16/1995 2:49:37 AMNo216 Lbs6 ft1NoNoNo1Pro & Farm400,000$400,000$40,000$40,000$40,000$40,000$No
Ryan MacInnisPHILADELPHIA PHANTOMS (PHI)C/LW/RW252/14/1996 5:15:39 AMYes199 Lbs6 ft6NoNoNo2Pro & Farm675,000$675,000$40,000$40,000$67,500$67,500$No675,000$
Taylor CammarataPHILADELPHIA PHANTOMS (PHI)C/LW/RW265/13/1995 7:40:01 AMYes177 Lbs5 ft8NoNoNo3Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No600,000$600,000$
Tyler BertuzziPHILADELPHIA PHANTOMS (PHI)LW/RW266/22/1995 4:27:46 AMYes197 Lbs6 ft3NoNoNo2Pro & Farm400,000$400,000$40,000$40,000$40,000$40,000$No400,000$
Ville HeinolaPHILADELPHIA PHANTOMS (PHI)D203/2/2001 4:50:39 AMYes179 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$
Ville HussoPHILADELPHIA PHANTOMS (PHI)G262/6/1995 6:58:28 AMNo197 Lbs6 ft2NoNoNo3Pro & Farm870,000$870,000$40,000$40,000$87,000$87,000$No870,000$870,000$
Vincent TrocheckPHILADELPHIA PHANTOMS (PHI)C277/11/1993 9:24:18 AMNo205 Lbs6 ft0NoNoNo5Pro & Farm925,000$925,000$40,000$40,000$92,500$92,500$No925,000$925,000$925,000$925,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3024.47197 Lbs6 ft12.23663,219$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Luca CaputiVincent TrocheckLauri Tukonen40014
2Morgan KlimchukConnor McMichaelMichael McLeod35014
3Karl HenrikssonRyan MacInnis18023
4John McFarlandTaylor CammarataNathan Légaré7032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno GervaisNikita Okhotyuk40122
2Ville HeinolaPierre-Olivier Joseph30122
3Malte Setkov25122
4Bruno GervaisNikita Okhotyuk5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Luca CaputiVincent TrocheckLauri Tukonen60005
2Morgan KlimchukConnor McMichaelRyan MacInnis40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno GervaisPierre-Olivier Joseph60005
2Ville HeinolaNikita Okhotyuk40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Taylor CammarataLuca Caputi60122
2Ryan MacInnisMorgan Klimchuk40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno GervaisMalte Setkov60122
2Ville HeinolaPierre-Olivier Joseph40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Karl Henriksson60122Bruno GervaisVille Heinola60122
2Taylor Cammarata40122Pierre-Olivier JosephMalte Setkov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Karl HenrikssonRemi Elie60122
2John McFarlandRyan MacInnis40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno Gervais60122
2Pierre-Olivier JosephMalte Setkov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Luca CaputiVincent TrocheckLauri TukonenBruno GervaisVille Heinola
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Luca CaputiVincent TrocheckLauri TukonenBruno GervaisVille Heinola
Extra Forwards
Normal PowerPlayPenalty Kill
Remi Elie, Ryan MacInnis, Remi Elie, Nathan LégaréRemi Elie
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikita Okhotyuk, Pierre-Olivier Joseph, Bruno GervaisNikita OkhotyukPierre-Olivier Joseph, Nikita Okhotyuk
Penalty Shots
Luca Caputi, Lauri Tukonen, Morgan Klimchuk, Vincent Trocheck, Connor McMichael
Goalie
#1 : , #2 : Marcus Hogberg
Custom OT Lines Forwards
Vincent Trocheck, Lauri Tukonen, Luca Caputi, , Morgan Klimchuk, Michael McLeod, Michael McLeod, Taylor Cammarata, Remi Elie, Connor McMichael,
Custom OT Lines Defensemen
Bruno Gervais, Ville Heinola, Nikita Okhotyuk, Malte Setkov,


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty 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
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 Price8040
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
42 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,989,656$ 120,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 26 4

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




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
884313508424279275442152002212142147-5421615062121371289622794597382072989911258983695578135258587156817032685420.15%1644175.00%0812175246.35%845177147.71%580127645.45%1849108817747421458736
9844722014642802245642238014331411033842241400031139121181162804477272396839415253085782283655252882669317552687226.87%1433376.92%2792172545.91%784175544.67%530123243.02%1823106117797461494753
Total Regular Season168785709888559499608438280364528325033844029062432762492717855990614654316818119326511916931777161790511316971261345853612623.51%3077475.90%21604347746.13%1629352646.20%1110250844.26%367321493554148829531490
Playoff
919118000005247511650000027270853000002520522529314500122218059017423717906481815839142614.29%19384.21%016239241.33%14640835.78%11927243.75%400236416159322164
Total Playoff19118000005247511650000027270853000002520522529314500122218059017423717906481815839142614.29%19384.21%016239241.33%14640835.78%11927243.75%400236416159322164