Canucks

GP: 33 | W: 14 | L: 16 | OTL: 3 | P: 31
GF: 155 | GA: 147 | PP%: 24.81% | PK%: 79.37%
GM : Francis Lagace | Morale : 50 | Team Overall : 65
Next Games #545 vs Reign

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.
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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 SP
1Connor Zary0X100.006234907370868375747271657464697950690
2Bobby Brink0X100.006734937262848870657168626964667550670
3Martin Pospisil0X100.009256666875828866587160646366675950660
4Sam Colangelo0X100.007339917283877468666369627164657450660
5Joey Anderson0X100.006837956676848264636566706468695650660
6Collin Graf0X100.006637926776867466716860706564664450650
7Zachary Sanford0X98.007673776588798463616658645973745250650
8Matthew Highmore0XXX100.006936946570798163676459685769703650640
9Jack Finley0X100.008251826196777863696058645963656950640
10Tyler Pitlick0X100.007938896380798162666162606376774250640
11Devin Shore0X100.007238956379778464726559626173745250640
12Garrett Pilon0X100.006439826373828462706658606367725450630
13Kevin Bahl0X100.007572766598908961307255804866687050710
14Nick Perbix0X100.006938946788868966307459635368704250680
15Cale Fleury0X100.007338926578818262306458665167695450660
16Dennis Cholowski0X100.006938946782798166306862635467697050660
17Dylan Coghlan0X100.007039806482907963306159655067693750660
18Mark Friedman0X100.007038746469787363306258654970725150640
19David Reinbacher0X100.007642796585686462306059645261638850630
Scratches
1Nicholas Robertson0X100.006935957465788571656872667364676850680
2Joakim Kemell0X100.006837856469828563526059576162638350620
3Jakub Demek0X100.007939915988787660666157625862645850620
4William Stromgren0X100.006938936378778662676457596163647450620
5Aku Raty0X100.006737846368798362586455575965664850610
6Ondrej Pavel0X100.006941735881768257615556595765674250600
7Owen Lindmark0X100.006437955473606153585250555164665550550
TEAM AVERAGE99.92714287657880816455656064596668595065
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
1Sebastian Cossa100.00778783987675777675777663698350760
2Leevi Merilainen100.00798581817877797877797863696550750
Scratches
1Artur Akhtyamov100.00727672747170727170727164715950700
2Michael Simpson100.00667268756564666564666562674450650
3Hunter Miska100.00627368726160626160626170843550640
TEAM AVERAGE100.0071797480706971706971706472575070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Burrows70646866646083CAN4441,000,000$


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
1Connor ZaryCanucks (Van)C33223254296021961674912513.17%563919.3726816620000190171.65%89600111.6912000626
2Braden SchneiderVancouver CanucksD3116314717160663191314817.58%3461019.6911112264107000177110.00%000011.5400000333
3Joey AndersonCanucks (Van)RW33252247188044291513310116.56%853116.0913112470145000002160.47%4300011.7701000254
4Bobby BrinkCanucks (Van)RW3313304329180522670284818.57%1963519.274481964000000081.25%1600011.3500000163
5Zachary SanfordCanucks (Van)LW331419331665159941110387812.73%1058917.8700013000003262.96%5400001.1200300425
6Nicholas RobertsonCanucks (Van)LW2811193016100202171186115.49%329310.502351557000163170.00%2000002.0412000303
7Dennis CholowskiCanucks (Van)D33358314041121782217.65%182266.880000000014000.00%100000.7000000010
Team Total or Average2241041582621281371534325667720548315.36%97352715.7532356718544000031089670.78%103000141.4925300191924
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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aku RatyRW242001-07-05No170 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Artur AkhtyamovG242001-10-31No170 Lbs6 ft2NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Bobby BrinkRW242001-07-08No169 Lbs5 ft8NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Cale FleuryD271998-11-19No204 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Collin GrafRW232002-09-21No194 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Connor ZaryC242001-09-25No178 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
David ReinbacherD212004-10-25No209 Lbs6 ft3NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Dennis CholowskiD271998-02-15No210 Lbs6 ft2NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Devin ShoreC311994-07-19No206 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dylan CoghlanD271998-02-19No208 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Garrett PilonRW271998-04-13No191 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Hunter MiskaG301995-07-07No175 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink
Jack FinleyC232002-09-02No220 Lbs6 ft6NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jakub DemekC222003-06-06No210 Lbs6 ft4NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Joakim KemellRW212004-04-27No182 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Joey AndersonRW271998-06-19No207 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Kevin BahlD252000-06-27No230 Lbs6 ft6NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Leevi MerilainenG232002-08-13No186 Lbs6 ft3NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Mark FriedmanD301995-12-25No185 Lbs5 ft11NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Martin PospisilC261999-11-19No173 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matthew HighmoreC/LW/RW291996-02-27No186 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael SimpsonG222003-09-03No188 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Nicholas RobertsonLW242001-09-11No178 Lbs5 ft9NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Nick PerbixD271998-06-15No206 Lbs6 ft4NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ondrej PavelC252000-08-29No205 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Owen LindmarkC242001-05-17No192 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Sam ColangeloRW242001-12-26No211 Lbs6 ft2NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Sebastian CossaG232002-11-21No229 Lbs6 ft6NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Tyler PitlickC341991-11-01No199 Lbs6 ft2NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
William StromgrenLW222003-06-07No175 Lbs6 ft3NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Zachary SanfordLW311994-11-09No206 Lbs6 ft4NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3125.52195 Lbs6 ft22.00506,452$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joey Anderson40122
2Connor ZaryBobby Brink30122
320122
4Zachary Sanford10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
4Dennis Cholowski10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joey Anderson60122
2Connor ZaryBobby Brink40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Connor Zary40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
2Connor Zary4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Connor Zary40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joey Anderson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Joey Anderson
Extra Forwards
Normal PowerPlayPenalty Kill
, Connor Zary, Zachary Sanford, Connor Zary
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Dennis Cholowski,
Penalty Shots
, , Joey Anderson, ,
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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3331W11552764311285123132028773720
All Games
GPWLOTWOTL SOWSOLGFGA
3313161102155147
Home Games
GPWLOTWOTL SOWSOLGFGA
167701018476
Visitor Games
GPWLOTWOTL SOWSOLGFGA
176910017171
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1333324.81%1262679.37%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
403462407186149443
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
586104955.86%49395151.84%31257654.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
885668740204369189


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
8 - 2025-08-226Canucks6Wranglers4WBoxScore
10 - 2025-08-2424Canucks2Wranglers4LBoxScore
15 - 2025-08-2939Canucks2Eagles6LBoxScore
16 - 2025-08-3054Canucks4Eagles5LXXBoxScore
22 - 2025-09-0581Gulls5Canucks4LBoxScore
23 - 2025-09-0694Gulls5Canucks3LBoxScore
26 - 2025-09-09103Roadrunners1Canucks6WBoxScore
27 - 2025-09-10110Roadrunners3Canucks6WBoxScore
30 - 2025-09-13132Canucks5Gulls4WBoxScore
31 - 2025-09-14138Canucks2Gulls6LBoxScore
34 - 2025-09-17147Canucks8Reign4WBoxScore
37 - 2025-09-20169Condors3Canucks6WBoxScore
38 - 2025-09-21179Condors7Canucks9WBoxScore
43 - 2025-09-26200Firebirds5Canucks4LXXBoxScore
44 - 2025-09-27208Firebirds4Canucks2LBoxScore
47 - 2025-09-30221Canucks5Condors4WXBoxScore
50 - 2025-10-03239Canucks4Silver Knights5LBoxScore
51 - 2025-10-04253Canucks5Silver Knights4WBoxScore
54 - 2025-10-07260Canucks9Condors2WBoxScore
57 - 2025-10-10278Canucks3Barracuda4LBoxScore
58 - 2025-10-11290Canucks3Barracuda4LBoxScore
65 - 2025-10-18332Eagles7Canucks6LBoxScore
66 - 2025-10-19339Eagles6Canucks7WBoxScore
72 - 2025-10-25374Moose5Canucks3LBoxScore
73 - 2025-10-26380Moose5Canucks4LXBoxScore
78 - 2025-10-31405Roadrunners5Canucks7WBoxScore
79 - 2025-11-01411Roadrunners7Canucks6LBoxScore
88 - 2025-11-10457Canucks2Wranglers4LBoxScore
90 - 2025-11-12467Canucks6Wranglers2WBoxScore
92 - 2025-11-14473Canucks1Rocket4LBoxScore
93 - 2025-11-15487Canucks4Rocket5LBoxScore
99 - 2025-11-21521Silver Knights6Canucks5LBoxScore
100 - 2025-11-22535Silver Knights2Canucks6WBoxScore
103 - 2025-11-25545Reign-Canucks-
104 - 2025-11-26556Reign-Canucks-
107 - 2025-11-29578Barracuda-Canucks-
108 - 2025-11-30587Barracuda-Canucks-
113 - 2025-12-05609Canucks-Roadrunners-
114 - 2025-12-06624Canucks-Roadrunners-
118 - 2025-12-10645Canucks-Firebirds-
120 - 2025-12-12659Wranglers-Canucks-
121 - 2025-12-13675Wranglers-Canucks-
127 - 2025-12-19685Canucks-Eagles-
128 - 2025-12-20703Canucks-Eagles-
131 - 2025-12-23711Gulls-Canucks-
132 - 2025-12-24720Gulls-Canucks-
135 - 2025-12-27742Eagles-Canucks-
137 - 2025-12-29756Eagles-Canucks-
139 - 2025-12-31763Canucks-Gulls-
142 - 2026-01-03789Canucks-Roadrunners-
143 - 2026-01-04800Canucks-Roadrunners-
148 - 2026-01-09822Canucks-Wranglers-
149 - 2026-01-10835Canucks-Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16868Barracuda-Canucks-
156 - 2026-01-17882Barracuda-Canucks-
159 - 2026-01-20891Condors-Canucks-
160 - 2026-01-21899Condors-Canucks-
163 - 2026-01-24924Wranglers-Canucks-
164 - 2026-01-25933Wranglers-Canucks-
169 - 2026-01-30953Canucks-Moose-
170 - 2026-01-31965Canucks-Moose-
176 - 2026-02-061001Canucks-Barracuda-
177 - 2026-02-071003Canucks-Barracuda-
180 - 2026-02-101026Canucks-Condors-
181 - 2026-02-111036Canucks-Gulls-
184 - 2026-02-141063Rocket-Canucks-
185 - 2026-02-151070Rocket-Canucks-
190 - 2026-02-201089Wranglers-Canucks-
191 - 2026-02-211105Wranglers-Canucks-
195 - 2026-02-251120Canucks-Condors-
197 - 2026-02-271134Canucks-Firebirds-
198 - 2026-02-281148Canucks-Reign-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance29,85615,226
Attendance PCT93.30%95.16%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
20 2818 - 93.92% 70,034$1,120,548$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
582,325$ 157,000$ 157,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 82,325$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,400,685$ 100 5,785$ 578,500$




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
1282383203333250255-541181701221130139-941201502112120116494250462712170898372229807118137522446668140418614507717.11%5808186.03%31406248756.53%1355254653.22%675123954.48%200013811981589982495
1376243904333204244-4038141602213102113-1138102302120102131-2968204348552040836450204906586766911913563105516444646313.58%4337881.99%51168238349.01%1069210150.88%563111350.58%187513211829548897444
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
158245200245623118051412390132311590254122110113311690261142314226531150728270224407477187611930569100115294207317.38%4275786.65%21547256660.29%1334240155.56%673113459.35%219515671804571985519
158245200245623118051412390132311590254122110113311690261142314226531150728270224407477187611930569100115294207317.38%4275786.65%21547256660.29%1334240155.56%673113459.35%219515671804571985519
1682422802532275195804122160021013293394120120232214310241101275493768114097957824550818807811186350587714024807916.46%3765385.90%31616271959.43%1298216260.04%712121058.84%225916641749545946498
17723424024622291626736151102341112803236191300121117823590229418647010086736219850654642667157447378012583607019.44%3384686.39%81383221462.47%1074182458.88%635103361.47%206115191451466853465
187257506103377139238362530600218375108363220010119464130130377642101921101711178328750960927958157346571313773619526.32%3094685.11%21674237970.37%1196180366.33%731111165.80%232318251264394763432
19704914023113441711733625601310164719334248010011801008010834462997311101491137926600892868888167047277014322857626.67%3045183.22%71428226663.02%980169157.95%690110362.56%227917981210372732418
2033131601102155147816770010184768176901001717103115527643120614944312854034624071812313202877371333324.81%1262679.37%1586104955.86%49395151.84%31257654.17%885668740204369189
Total Regular Season87941633303034293728542375479440217160014191317141611602564391991730161516201438121522310212854512979839111611072927738260084038407855984162188462181072616954439679218.02%452372084.08%39161202759558.42%133792430655.04%74671298357.51%2381617394191205867102645363
Playoff
11137600000312837430000019154633000001213-11431548511013116353096114106380962292951081211.11%97990.72%124644854.91%30450560.20%10719554.87%35425833710315675
1523131000000504641055000002224-2138500000282262650941440202316851501781581565211433524511312216.79%1452384.14%236472550.21%35471749.37%18233454.49%572383559177297150
18945000003744-75320000021201413000001624-8837528900019107348013610697292908915244613.64%391464.10%015327954.84%11523948.12%9115558.71%231176221549247
19404000001120-92020000047-320200000713-60111829000713125047413710838577620315.00%13469.23%05613142.75%3110230.39%276740.30%8762108294721
Total Playoff49242500000129138-92412120000066660251213000006372-9481292183471306238241341045741939613013677279743034314.19%2945082.99%3819158351.74%804156351.44%40775154.19%12458801227363593295