Islanders

GP: 11 | W: 4 | L: 6 | OTL: 1 | P: 9
GF: 27 | GA: 37 | PP%: 19.40% | PK%: 84.21%
GM : Pascal Labarre | Morale : 50 | Team Overall : 62
Next Games #158 vs Bruins

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# 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 SP
1Dominik Kubalik0XX99.007039926979838967586669657371724050670
2Pontus Holmberg0X99.006937876672808664756765686366674750660
3Philippe Maillet0X99.005636946466817263736562606472742750630
4Cedric Pare0X100.007541786084837958686159605765674750620
5Josh Dunne0X100.007842715889817857655556615466684250610
6Brian Halonen0X100.006738786076867756585963576265674250610
7Arnaud Durandeau0X100.006238825871848257616056595566674750600
8Samuel Morton0X100.006237916271856158605464576265674250600
9Turner Elson0X100.006439835873748456665957555872742750600
10Damien Giroux0X100.005737866066727859655857566064664850590
11Gabriel Bourque0X100.006337895972718058605755545974763150590
12Dino Kambeitz0X100.007440845583748254585356595564664350590
13Jordy Bellerive0X100.006242695771808254615556535865674250580
14Jake Bean0X100.006335866776877666307160745366688150680
15Corey Schueneman0X99.006237896372828559306454584869713650630
16Aaron Ness0X100.005837845667648655305853544674764050590
17Artem Guryev0X100.007256515491676555305253584561635750590
18Alex Kannok-Leipert0X100.007377665372637551305250544564664850570
Scratches
1Mathieu Olivier0X100.008583676482788262536359696167683750650
2Ross Johnston0X100.007885575696727555615451575371703550590
3Avery Hayes0X100.005836945665796455545357525862644350560
4Jaxsen Wiebe0X100.007042715679656355525157545662644350560
5Joel Hanley0X100.007043796770827266306553625073752650650
TEAM AVERAGE99.83674579607677775853595759566769425061
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PriorityTypeDescription
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Dustin Tokarski100.00758276757473757473757476894550740
2Georgi Romanov100.00747672917372747372747365734250730
Scratches
1Garret Sparks100.00627065876160626160626171853850650
TEAM AVERAGE100.0070767184696870696870697182425071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marc Savard69667168696479CAN4651,000,000$


Filter Tips
PriorityTypeDescription
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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 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
1Pontus HolmbergIslanders (NYI)RW11561148017243192616.13%923321.2412311520002381060.47%4300000.9400000101
2Dominik KubalikIslanders (NYI)LW/RW11369-108010184312226.98%1126424.0025714550001510147.22%10800000.6800000100
3Jake BeanIslanders (NYI)D11167-680720146137.14%1627925.391451253000044000.00%000000.5000000001
4Dysin MayoNew York IslandersD9246-3180266195910.53%920222.502131445000024000.00%000000.5900000010
5Gabriel BourqueIslanders (NYI)LW11426340316142128.57%115314.00112641000000050.29%17300000.7800000010
6Corey SchuenemanIslanders (NYI)D11235-22055134915.38%624522.282351250000147000.00%000000.4100000010
7Damien GirouxIslanders (NYI)C11235-110027123816.67%121819.882355470000381041.67%3600000.4600000010
8Cedric PareIslanders (NYI)C11235-5202217283197.14%224622.4002212540001290053.97%12600000.4100000100
9Mathieu OlivierIslanders (NYI)RW8224-217523131641312.50%014518.19112637000001045.71%10500000.5500010000
10Philippe MailletIslanders (NYI)C11134520619175105.88%014913.63000210000051050.79%6300000.5300000001
11Aaron NessIslanders (NYI)D11033-4006514470.00%621019.12011751000024000.00%000000.2900000000
12Arnaud DurandeauIslanders (NYI)LW11112-3203253120.00%1464.210000600009000.00%100000.8600000000
13Josh DunneIslanders (NYI)C11112-114022791711.11%114613.3100000000040052.11%14200000.2700000000
14Artem GuryevIslanders (NYI)D11101-1134030761016.67%718016.39101514000011000.00%000000.1100000000
15Samuel MortonIslanders (NYI)C11011-300044030.00%0282.60000000000000100.00%300000.7000000000
16Alex Kannok-LeipertIslanders (NYI)D1101101202213030.00%916515.0800001000031000.00%000000.1200000000
17Brian HalonenIslanders (NYI)LW11011-240173150.00%0504.5701117000010035.71%1400000.4000000000
18Turner ElsonIslanders (NYI)C11011-500377150.00%115013.6600000000000037.50%800000.1300000000
19Jordy BelleriveIslanders (NYI)C11000-200231000.00%0222.0100004000080044.44%1800000.0000000000
20Joel HanleyIslanders (NYI)D1000140020000.00%01111.400000100002000.00%000000.0000000000
21Dino KambeitzIslanders (NYI)RW11000-240212120.00%0413.730001900000000.00%100000.0000000000
Team Total or Average216274774-6913352121912616516310.34%80319114.7813243710854400053764149.94%84100000.4600010343
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
1Dustin TokarskiIslanders (NYI)114510.8443.6258000352250000.0000110000
2Georgi RomanovIslanders (NYI)30100.9311.4881002290000.0000011000
Team Total or Average144610.8543.3566200372540000.00001111000


Filter Tips
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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
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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aaron NessD341990-05-18No184 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Alex Kannok-LeipertD242000-07-20No190 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arnaud DurandeauLW251999-01-14No185 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Artem GuryevD212003-05-17No225 Lbs6 ft4NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Avery HayesRW222002-10-10No175 Lbs5 ft10NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Brian HalonenLW251999-01-11No207 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cedric PareC251999-01-24No205 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Corey SchuenemanD291995-09-02No197 Lbs5 ft11NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Damien GirouxC242000-03-03No179 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dino KambeitzRW242000-01-25No212 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dominik KubalikLW/RW291995-08-21No192 Lbs6 ft2NoNoNo3UFAPro & Farm760,000$0$0$NoLink / NHL Link
Dustin TokarskiG351989-09-16No198 Lbs6 ft0NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Gabriel BourqueLW341990-09-23No206 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Garret SparksG311993-06-28No220 Lbs6 ft3NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Georgi RomanovG241999-12-15No207 Lbs6 ft5NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jake BeanD261998-06-09No191 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Jaxsen WiebeRW222002-05-16No209 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Joel HanleyD331991-06-08No186 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jordy BelleriveC251999-05-02No195 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Josh DunneC251998-12-08No211 Lbs6 ft4NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mathieu OlivierRW271997-02-11No222 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Philippe MailletC321992-11-07No174 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Pontus HolmbergRW251999-03-09No188 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ross JohnstonLW301994-02-18No234 Lbs6 ft5NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Samuel MortonC251999-07-28No185 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Turner ElsonC321992-09-13No191 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2627.23199 Lbs6 ft12.08450,385$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik KubalikPhilippe MailletPontus Holmberg40122
2Brian HalonenCedric PareDino Kambeitz30122
3Arnaud DurandeauJosh DunneSamuel Morton20122
4Gabriel BourqueSamuel MortonDominik Kubalik10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman40122
2Artem GuryevAaron Ness30122
3Alex Kannok-LeipertTurner Elson20122
4Jake BeanCorey Schueneman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik KubalikPhilippe MailletPontus Holmberg60122
2Brian HalonenCedric PareDino Kambeitz40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman60122
2Artem GuryevAaron Ness40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dominik KubalikPontus Holmberg60122
2Philippe MailletCedric Pare40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman60122
2Artem GuryevAaron Ness40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dominik Kubalik60122Jake BeanCorey Schueneman60122
2Pontus Holmberg40122Artem GuryevAaron Ness40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dominik KubalikPontus Holmberg60122
2Philippe MailletCedric Pare40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanCorey Schueneman60122
2Artem GuryevAaron Ness40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dominik KubalikPhilippe MailletPontus HolmbergJake BeanCorey Schueneman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dominik KubalikPhilippe MailletPontus HolmbergJake BeanCorey Schueneman
Extra Forwards
Normal PowerPlayPenalty Kill
Damien Giroux, Jordy Bellerive, Josh DunneDamien Giroux, Jordy BelleriveJosh Dunne
Extra Defensemen
Normal PowerPlayPenalty Kill
Alex Kannok-Leipert, Artem Guryev, Aaron NessAlex Kannok-LeipertArtem Guryev, Aaron Ness
Penalty Shots
Dominik Kubalik, Pontus Holmberg, Philippe Maillet, Cedric Pare, Josh Dunne
Goalie
#1 : Dustin Tokarski, #2 : Georgi Romanov


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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
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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
119L32747742612548013321200
All Games
GPWLOTWOTL SOWSOLGFGA
114601002737
Home Games
GPWLOTWOTL SOWSOLGFGA
51301001116
Visitor Games
GPWLOTWOTL SOWSOLGFGA
63300001621
Last 10 Games
WLOTWOTL SOWSOL
450100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
671319.40%57984.21%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
909575181540
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17135348.44%16131750.79%8816852.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2671862617913366


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
9 - 2024-09-2411Bruins3Islanders1LBoxScore
10 - 2024-09-2523Checkers4Islanders2LBoxScore
13 - 2024-09-2830Bears2Islanders4WBoxScore
16 - 2024-10-0145Islanders4Wolfpack3WBoxScore
17 - 2024-10-0258Wolfpack3Islanders1LBoxScore
22 - 2024-10-0771Islanders3Checkers2WBoxScore
23 - 2024-10-0884Islanders3Checkers2WBoxScore
27 - 2024-10-12105Penguins4Islanders3LXBoxScore
29 - 2024-10-14116Islanders1Thunderbirds4LBoxScore
34 - 2024-10-19141Islanders1Thunderbirds5LBoxScore
36 - 2024-10-21151Islanders4Bruins5LBoxScore
37 - 2024-10-22158Bruins-Islanders-
40 - 2024-10-25181Bears-Islanders-
43 - 2024-10-28191Islanders-Bears-
44 - 2024-10-29204Islanders-Penguins-
50 - 2024-11-04233Islanders-Penguins-
51 - 2024-11-05246Checkers-Islanders-
52 - 2024-11-06255Islanders-Wolfpack-
58 - 2024-11-12283Senators-Islanders-
59 - 2024-11-13293Senators-Islanders-
62 - 2024-11-16301Wolfpack-Islanders-
64 - 2024-11-18314Islanders-Thunderbirds-
65 - 2024-11-19324Islanders-Bruins-
69 - 2024-11-23344Bruins-Islanders-
71 - 2024-11-25355Islanders-Bruins-
73 - 2024-11-27375Rocket-Islanders-
79 - 2024-12-03410Islanders-Checkers-
80 - 2024-12-04425Islanders-Checkers-
85 - 2024-12-09429Bruins-Islanders-
86 - 2024-12-10447Islanders-Thunderbirds-
93 - 2024-12-17482Americans-Islanders-
94 - 2024-12-18493Wolfpack-Islanders-
99 - 2024-12-23514Islanders-Bruins-
101 - 2024-12-25538Phantoms-Islanders-
104 - 2024-12-28546Thunderbirds-Islanders-
106 - 2024-12-30558Crunch-Islanders-
107 - 2024-12-31567Thunderbirds-Islanders-
109 - 2025-01-02589Islanders-Thunderbirds-
111 - 2025-01-04594Islanders-Comets-
113 - 2025-01-06603Islanders-Crunch-
114 - 2025-01-07620Islanders-Phantoms-
118 - 2025-01-11635Phantoms-Islanders-
120 - 2025-01-13646Islanders-Bears-
121 - 2025-01-14664Islanders-Bears-
127 - 2025-01-20681Islanders-Penguins-
128 - 2025-01-21694Checkers-Islanders-
132 - 2025-01-25713Islanders-Wolfpack-
135 - 2025-01-28731Bruins-Islanders-
136 - 2025-01-29744Islanders-Bruins-
142 - 2025-02-04779Comets-Islanders-
143 - 2025-02-05794Thunderbirds-Islanders-
146 - 2025-02-08806Bruins-Islanders-
148 - 2025-02-10819Islanders-Phantoms-
149 - 2025-02-11833Islanders-Phantoms-
153 - 2025-02-15849Islanders-Wolfpack-
156 - 2025-02-18875Marlies-Islanders-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19884Thunderbirds-Islanders-
160 - 2025-02-22894Islanders-Rocket-
162 - 2025-02-24904Islanders-Senators-
163 - 2025-02-25914Islanders-Senators-
170 - 2025-03-04960Thunderbirds-Islanders-
171 - 2025-03-05972Penguins-Islanders-
174 - 2025-03-08982Bears-Islanders-
176 - 2025-03-10996Islanders-Americans-
178 - 2025-03-121020Islanders-Marlies-
181 - 2025-03-151028Phantoms-Islanders-
184 - 2025-03-181052Checkers-Islanders-
188 - 2025-03-221072Wolfpack-Islanders-
191 - 2025-03-251094Wolfpack-Islanders-
192 - 2025-03-261107Penguins-Islanders-
197 - 2025-03-311124Islanders-Wolfpack-
198 - 2025-04-011144Islanders-Bruins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance9,5944,691
Attendance PCT95.94%93.82%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 2857 - 95.23% 71,483$357,415$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
203,669$ 117,100$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 22,762$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,215,973$ 163 5,614$ 915,082$




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
12824424053422651561094121130232013178534123110302213478561112654787433801088068222706977877191821510136218474285913.79%5997387.81%71521247861.38%1387242957.10%686110262.25%225516091734570979518
137640290321123915881382014031001217249382015001111188632912394296681120987859201206976526521685482106415234196615.75%4406485.45%61344231857.98%1228227154.07%600106256.50%200614261658534917477
147634240541817113239382011021138763243814130330584691592171314485113053674518050580618577171848762411023766316.76%2382091.60%41271224256.69%1152220152.34%573103455.42%195913861728535947498
1582502104115247160874127901013121744741231203102126864011624745470101401047464237307917787811915558106915434316414.85%4365886.70%31648266061.95%1446247758.38%683114459.70%220515851770573985517
168244240343426817791412212012041439548412212022301258243108268478746260939376233507187738151830503106614774838417.39%4246484.91%21605261661.35%1370235658.15%767121862.97%222016011775554973516
177242220131325215399362111002111338350362111011021197049942524787300100101836620130714640645163945197614533739024.13%4136284.99%21317214561.40%1239212858.22%665106462.50%201914631474479855465
18723922035302131427136211000320110684236181203210103742995213381594010080725518220595640572166346799713413666016.39%4225287.68%91143207855.00%1142218552.27%51995454.40%195114031543488851458
191146001002737-10513001001116-5633000001621-592747740081540261909575125480133212671319.40%57984.21%017135348.44%16131750.79%8816852.38%2671862617913366
Total Regular Season55329717202423142316821115567276153830913711857549308277144890151071282556625971616823059474177386525514331484890488749634762125253538729110498294349916.96%302940286.73%33100201689059.33%91251636455.76%4581774659.14%148861066211946381566433517
Playoff
1512750000030255633000001616064200000149514305888000910927408084913178320622563914.29%821186.59%115732548.31%20542648.12%9116854.17%2891973219615475
1715870000035287734000001313085300000221571635639802012129333011899106354127232273711622.54%961584.38%019340148.13%25351848.84%10921750.23%34923838411718891
18169700000332767610000019811936000001419-51833639612011912349011910011635488205286871314.94%86693.02%124647951.36%24449649.19%10221946.58%396270395125205103
Total Playoff43241900000988018201280000048371123121100000504374898184282140323130956031728331310252986437842213817.19%2643287.88%2596120549.46%702144048.75%30260450.00%10367051101339548270