Crunch

GP: 50 | W: 6 | L: 40 | OTL: 4 | P: 16
GF: 96 | GA: 226 | PP%: 7.78% | PK%: 74.01%
GM : Nick Fournier | Morale : 50 | Team Overall : 63
Next Games #815 vs Penguins

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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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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
1Miles Wood0X100.007245697379778168566662726374714950670
2Jesse Puljujarvi0X100.008140836790817765586263646769707650650
3Zachary L'Heureux0X100.007661556772818568646565636662648050650
4Drake Caggiula0X100.006839726567838162696461636272733450640
5Marat Khusnutdinov0X100.006734916968807763756160715962637650640
6Reid Schaefer0X100.008654746095807561596260646163647750640
7Carl Grundstrom0X100.008435906674768064566062636169715850640
8Lane Pederson0X100.006441776373847562716362606168703650630
9Marc Gatcomb0X100.007939866479778562656063616466674250630
10Stephen Halliday0X100.007740806286827561736557625963656150630
11Rutger McGroarty0X100.006939836678887264626560626461638450630
12Justin Robidas0X100.006335956466857363716261606562645650620
13Oliver Kapanen0X100.005536956479776163716260665561626750620
14Jett Luchanko0X100.006539756668816163726050646560628750600
15Nathan Gaucher0X100.007650695885738455625657595862648250600
16Nikolas Brouillard0X100.007052656064718659306455564870723550610
17Topias Vilen0X100.006738906076658158306452574662645850610
18Wyatt Newpower0X100.007345635882657357305653594668703650610
19Mike Benning0X100.005738796066758359306257554863656250600
20Blake Hillman0X100.006738945776638056305553544569714050600
Scratches
1Max Willman0X96.066636916471818263665862596470724750630
2Adam Erne0X100.007169825880737257525653595570726250590
3Adam Sykora0X100.005935955766828656605856595561636850590
4Brendan Lemieux0X100.007874535880776757545659555871706350590
5Gavin Brindley0X100.005536865964796958625554575661637750580
6Logan Stanley0X100.007484666399867662307154704768677150680
7Ole Bjorgvik-Holm0X100.006941705578646854305253564563655750580
8Angus Booth0X100.006139765570646854305753564561635950570
TEAM AVERAGE99.86704579627677766154615861576567615062
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
1Louis Domingue100.00748277857372747372747375874850740
2Oscar Dansk100.00728378847170727170727172856150720
Scratches
1Isaac Poulter100.00758379757473757473757464714350720
2Sergei Murashov100.00747571757372747372747361656050700
TEAM AVERAGE100.0074817680737274737274736877535072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ben Simon66636475696580USA4671,000,000$


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
1Drake CaggiulaCrunch (Tam)LW50281846-3664201701302448617911.48%49117823.5742643163000003155.84%7700010.7802022454
2Logan StanleyCrunch (Tam)D4743135229010137406827575.88%49100521.4031114521500112154010.00%000000.7000200310
3Mike BenningCrunch (Tam)D5081422-33595695563253512.70%5897219.4500000000040030.23%4300000.4501001213
4Reid SchaeferCrunch (Tam)LW5091120-3658012110311740677.69%1684216.8500014000021051.82%71400000.4702000121
5Max WillmanCrunch (Tam)C5013720-4286201291141284010110.16%57107821.5600010000000055.80%49100010.3701021211
6Stephen HallidayCrunch (Tam)C507714-3012046589321467.53%1872714.5510118000001054.95%20200000.3802000012
7Marat KhusnutdinovCrunch (Tam)C165510-161351352519369.80%1130519.0900000000000059.35%12300000.6500010000
8Lane PedersonCrunch (Tam)C3112-2208882512.50%05618.71112411000000047.27%5500000.7100000010
9Max LajoieTampa LightningD5022-616010810230.00%611723.570009150000700100.00%200000.3400000000
Team Total or Average3217596171-179400607035687822525299.59%264628419.589142311135401121695253.43%170700020.5408254121211
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
Adam ErneLW301995-04-20No215 Lbs6 ft1NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Adam SykoraLW212004-09-07No179 Lbs5 ft10NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Angus BoothD212004-04-27No177 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Blake HillmanD301996-01-26No193 Lbs6 ft1NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brendan LemieuxLW291996-03-15No215 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Carl GrundstromRW281997-12-01No200 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Drake CaggiulaLW311994-06-20No179 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Gavin BrindleyC212004-10-05No175 Lbs5 ft9NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Isaac PoulterG242001-09-12No174 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jesse PuljujarviRW271998-05-07No216 Lbs6 ft4NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jett LuchankoC192006-08-21No180 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Justin RobidasC222003-03-13No176 Lbs5 ft8NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Lane PedersonC281997-08-04No192 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Logan StanleyD271998-05-26No231 Lbs6 ft7NoNoNo1UFAPro & Farm843,753$0$0$NoLink / NHL Link
Louis DomingueG331992-03-06No207 Lbs6 ft3NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Marat KhusnutdinovC232002-07-17No176 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Marc GatcombRW261999-07-22No195 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Max WillmanC311995-02-13No184 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Mike BenningD242002-01-05No185 Lbs5 ft9NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Miles WoodLW301995-09-13No195 Lbs6 ft2NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nathan GaucherC222003-11-06No207 Lbs6 ft3NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Nikolas BrouillardD311995-02-07No168 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ole Bjorgvik-HolmD232002-05-23No190 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Oliver KapanenC222003-07-29No194 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Oscar DanskG321994-02-28No204 Lbs6 ft3NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Reid SchaeferLW222003-09-21No226 Lbs6 ft5NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Rutger McGroartyRW212004-03-30No203 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Sergei MurashovG212004-04-01No175 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Stephen HallidayC232002-07-02No213 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Topias VilenD222003-04-01No194 Lbs6 ft1NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Wyatt NewpowerD281997-12-09No194 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Zachary L'HeureuxLW222003-05-15No197 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3225.44194 Lbs6 ft12.91560,742$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake Caggiula40122
230122
320122
4Drake Caggiula10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Mike Benning20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake Caggiula60122
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
Drake Caggiula
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Drake Caggiula
Extra Forwards
Normal PowerPlayPenalty Kill
, Reid Schaefer, Stephen Halliday, Reid SchaeferStephen Halliday
Extra Defensemen
Normal PowerPlayPenalty Kill
, Mike Benning, Mike Benning,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5016SOL1961632591229165445943288202
All Games
GPWLOTWOTL SOWSOLGFGA
50540120296226
Home Games
GPWLOTWOTL SOWSOLGFGA
25219110254114
Visitor Games
GPWLOTWOTL SOWSOLGFGA
25321010042112
Last 10 Games
WLOTWOTL SOWSOL
261001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
257207.78%1774674.01%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
444408365204234191
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
545141038.65%506142335.56%33978043.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10257121411366578259


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 - 2025-08-221Crunch1Comets5LBoxScore
9 - 2025-08-2313Senators4Crunch3LXBoxScore
15 - 2025-08-2934Crunch0Rocket3LBoxScore
16 - 2025-08-3044Crunch2Rocket6LBoxScore
17 - 2025-08-3160Crunch1Senators4LBoxScore
22 - 2025-09-0572Penguins3Crunch1LBoxScore
23 - 2025-09-0685Crunch1Penguins6LBoxScore
29 - 2025-09-12112Wolfpack6Crunch2LBoxScore
30 - 2025-09-13124Senators5Crunch2LBoxScore
34 - 2025-09-17142Crunch1Wolfpack3LBoxScore
37 - 2025-09-20160Monsters3Crunch6WBoxScore
41 - 2025-09-24185Crunch2Senators6LBoxScore
43 - 2025-09-26192Rocket4Crunch3LXXBoxScore
44 - 2025-09-27205Crunch1Comets4LBoxScore
50 - 2025-10-03229Comets4Crunch0LBoxScore
51 - 2025-10-04247Bears5Crunch2LBoxScore
55 - 2025-10-08263Senators5Crunch1LBoxScore
57 - 2025-10-10273Crunch1Americans5LBoxScore
58 - 2025-10-11281Americans3Crunch2LBoxScore
62 - 2025-10-15302Rocket4Crunch1LBoxScore
64 - 2025-10-17310Crunch4Monsters0WBoxScore
65 - 2025-10-18321Crunch7Monsters3WBoxScore
69 - 2025-10-22345Crunch3Senators5LBoxScore
71 - 2025-10-24353Bears5Crunch2LBoxScore
72 - 2025-10-25365Comets4Crunch2LBoxScore
76 - 2025-10-29391Crunch2Americans7LBoxScore
78 - 2025-10-31402Crunch0Americans3LBoxScore
85 - 2025-11-07430Crunch1Rocket6LBoxScore
86 - 2025-11-08438Crunch2Rocket4LBoxScore
90 - 2025-11-12466Crunch4Marlies6LBoxScore
92 - 2025-11-14471Senators8Crunch0LBoxScore
93 - 2025-11-15485Phantoms3Crunch1LBoxScore
97 - 2025-11-19503Crunch0Comets8LBoxScore
99 - 2025-11-21510Marlies5Crunch0LBoxScore
100 - 2025-11-22525Americans4Crunch2LBoxScore
104 - 2025-11-26548Bruins4Crunch2LBoxScore
106 - 2025-11-28558Crunch1Islanders4LBoxScore
107 - 2025-11-29571Crunch1Bruins2LXBoxScore
109 - 2025-12-01588Comets6Crunch2LBoxScore
113 - 2025-12-05603Islanders6Crunch1LBoxScore
114 - 2025-12-06616Monsters5Crunch6WXBoxScore
120 - 2025-12-12652Crunch0Americans5LBoxScore
121 - 2025-12-13662Americans6Crunch1LBoxScore
127 - 2025-12-19677Comets6Crunch2LBoxScore
128 - 2025-12-20695Crunch1Bears6LBoxScore
132 - 2025-12-24712Crunch3Marlies0WBoxScore
134 - 2025-12-26725Crunch3Americans5LBoxScore
135 - 2025-12-27735Crunch0Phantoms6LBoxScore
141 - 2026-01-02769Marlies1Crunch6WBoxScore
142 - 2026-01-03782Rocket5Crunch4LXXBoxScore
148 - 2026-01-09815Penguins-Crunch-
149 - 2026-01-10828Americans-Crunch-
150 - 2026-01-11840Crunch-Comets-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16861Crunch-Comets-
157 - 2026-01-18886Crunch-Penguins-
160 - 2026-01-21892Comets-Crunch-
162 - 2026-01-23902Thunderbirds-Crunch-
163 - 2026-01-24917Crunch-Thunderbirds-
169 - 2026-01-30949Crunch-Phantoms-
170 - 2026-01-31963Americans-Crunch-
176 - 2026-02-06991Comets-Crunch-
177 - 2026-02-071004Americans-Crunch-
178 - 2026-02-081019Crunch-Americans-
181 - 2026-02-111030Crunch-Senators-
183 - 2026-02-131039Marlies-Crunch-
184 - 2026-02-141051Crunch-Marlies-
188 - 2026-02-181074Crunch-Comets-
190 - 2026-02-201080Phantoms-Crunch-
191 - 2026-02-211095Rocket-Crunch-
195 - 2026-02-251113Crunch-Bears-
197 - 2026-02-271126Crunch-Comets-
198 - 2026-02-281141Comets-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance46,90323,464
Attendance PCT93.81%93.86%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
11 2815 - 93.82% 70,174$1,754,338$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
846,806$ 179,438$ 179,438$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 121,806$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
771,909$ 55 5,897$ 324,335$




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
12824224045432491727741221102132129824741201302411120903010824944669511101008259220907137227491711511139218355107414.51%5767287.50%41584255661.97%1364233558.42%730118261.76%225316091733575989519
137638250452221917247381615023111108723382210022111098524952193866051120747960194205796916561716532120416284426314.25%5016287.62%71315230057.17%1227222855.07%613109256.14%199214051686539920480
14764024032432331409338221000141125656038181403102108753399233426659210090756122100746698748171852895914343385716.86%3784288.89%51375243956.38%1220228353.44%609108756.03%199214231706527906471
14764024032432331409338221000141125656038181403102108753399233426659210090756122100746698748171852895914343385716.86%3784288.89%51375243956.38%1220228353.44%609108756.03%199214231706527906471
14764024032432331409338221000141125656038181403102108753399233426659210090756122100746698748171852895914343385716.86%3784288.89%51375243956.38%1220228353.44%609108756.03%199214231706527906471
158243250363225618769412290342113479554121160021112210814106256469725180967975252208318448261834508102713824586313.76%4096185.09%71643275559.64%1282226256.68%716121059.17%223116161760567974508
158243250363225618769412290342113479554121160021112210814106256469725180967975252208318448261834508102713824586313.76%4096185.09%71643275559.64%1282226256.68%716121059.17%223116161760567974508
1682333902323272299-2741171900212145149-441162002111127150-2380272441713150112718525420832773913243573490513734128620.87%3867381.09%61317254051.85%1113237146.94%634130348.66%195614222079553920450
177233280212629026426361812000241521312136151602102138133581290441731130123798426320851832927238771270312803476017.29%2946577.89%11186228052.02%946219343.14%608118851.18%168612591905470774367
1872106100100169412-243365310000086195-109365300010083217-1342116932149010073435319540637601716324290166612302853512.28%2507171.60%4709184738.39%802238633.61%451118338.12%11217512432517766310
1970125200222149345-196357250011181165-84355270011168180-1123214928343221054464717780554589626277882171412053174112.93%3016678.07%1819186943.82%839228636.70%405107537.67%12228392254500748313
20505400120296226-130252190110254114-60253210010042112-7016961632590242341911229444408365201654459432882257207.78%1774674.01%0545141038.65%506142335.56%33978043.46%10257121411366578259
Total Regular Season89637939102837303126552684-29448197180011192417140012761244481822110171861412551408-1539422655469773521580421032802722259604448474835585032474572701094716499450067615.02%443770384.16%52148862762953.88%130212659548.96%70391348452.20%2169715505221426242103665134
Playoff
1151400000616-102020000017-63120000059-4261218000051810203427125301361233425.88%57984.21%06714446.53%9817655.68%366654.55%10566132406229
1251400000515-102110000055030300000010-10251015010113810262628145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
1412750000024195541000001073734000001412214244165020104734901039487330981252479477.45%54590.74%024049348.68%21547545.26%8018942.33%34723937211218390
15514000001319-62020000049-531200000910-12132336010355134040484612429598327725.93%26773.08%06516439.63%5112341.46%277237.50%11378124376230
Total Playoff271017000004869-211156000002028-816511000002841-1320488613404014151664501892021887241924095831711810.53%1752884.00%044793347.91%45694448.31%17839245.41%666447767227371179