Checkers

GP: 70 | W: 4 | L: 65 | OTL: 1 | P: 9
GF: 121 | GA: 445 | PP%: 9.59% | PK%: 71.43%
GM : Charles Boucher | Morale : 50 | Team Overall : 63
Next Games #1132 vs Bears

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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
1Artem Anisimov0X100.007738956386836962696064636775773650640
2Evgeny Svechnikov0XX100.007437856585778566596263566667687150640
3Taro Hirose0X100.006235946663838867656859616567693750640
4Dylan Guenther0XX100.005735916875826566576763596859618850630
5Joel Teasdale0XX100.006738876277907963596162596065644350630
6Gage Goncalves0X100.006238846271758761736558596362646850620
7Nathan Smith0X100.007337826270797463716061596265676150620
8Tristen Robins0X100.005835936366857262665860596162647050610
9Ozzy Wiesblatt0X100.006039785668696755585756545361637850570
10Curtis Hall0X100.007439955283707651585253565263655950570
11Michael Milne0X100.006036945469757053545555525461636450560
12Jaydon Dureau0X100.005836955567646254585257515562645650550
13Brian Lashoff0X100.007741845686628252305453574573782650620
14Simon Nemec (R)0X100.006538916775787164306157584859619350620
15Tyler Wotherspoon0X100.007339885682708255305953584670725550620
16Ben Gleason0X100.006439775973728658306355574865674250610
17Brady Keeper0X100.007142715580666553305452564567693750590
18Dillon Simpson0X100.007238935281637851305253554570755050590
Scratches
TEAM AVERAGE100.00673888607575755952595757566567575061
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
1Joey Daccord100.00766970817574767574767567775450730
2Mads Sogaard100.00737977957271737271737263697650720
Scratches
1Keith Kinkaid100.00746465797372747372747376884450720
2Hunter Shepard100.00746364797372747372747368813650710
3Mitchell Weeks100.00695859816867696867696862674450660
4John Lethemon100.00675657836665676665676667773750660
5Philippe Desrosiers100.00615556766059616059616068815850620
TEAM AVERAGE100.0071636482706971706971706777505069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Chris Taylor62677268767174CAN513100,000$


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Artem AnisimovC351988-05-24No199 Lbs6 ft4NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ben GleasonD261998-03-25No180 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brady KeeperD271996-06-05No197 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brian LashoffD331990-07-16No213 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Curtis HallC232000-04-26No197 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dillon SimpsonD311993-02-10No204 Lbs6 ft2NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dylan GuentherLW/RW212003-04-10No175 Lbs6 ft2NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Evgeny SvechnikovLW/RW271996-10-31No208 Lbs6 ft3NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Gage GoncalvesC232001-01-16No181 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Hunter ShepardG281995-11-07No209 Lbs6 ft1NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jaydon DureauLW232001-01-20No173 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joel TeasdaleC/LW251999-03-11No212 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joey DaccordG271996-08-19No201 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
John LethemonG271996-08-15No196 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Keith KinkaidG341989-07-04No195 Lbs6 ft2NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Mads SogaardG232000-12-13No196 Lbs6 ft7NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael MilneLW212002-09-21No185 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Mitchell WeeksG222001-06-22No187 Lbs6 ft3NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Nathan SmithC251998-10-19No177 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ozzy WiesblattC222002-03-09No183 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Philippe DesrosiersG281995-08-16No195 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Simon NemecD202004-02-15Yes190 Lbs6 ft1NoNoNo1ELCPro & Farm0$0$NoNHL Link
Taro HiroseLW271996-06-30No162 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Tristen RobinsC222001-11-15No176 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Tyler WotherspoonD311993-03-12No207 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2526.04192 Lbs6 ft12.28434,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140113
230113
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160014
240014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160023
240023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160131
240131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160131
240131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16005060050
24005040050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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
709L1012123835916003410963619114900
All Games
GPWLOTWOTL SOWSOLGFGA
704650100121445
Home Games
GPWLOTWOTL SOWSOLGFGA
36332010064232
Visitor Games
GPWLOTWOTL SOWSOLGFGA
34133000057213
Last 10 Games
WLOTWOTL SOWSOL
0100000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
292289.59%2527271.43%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
48955855304639360
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
497164330.25%625248225.18%288112625.58%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9586212509514732273


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
4 - 2023-08-131Penguins2Checkers0LBoxScore
5 - 2023-08-1416Penguins4Checkers3LBoxScore
12 - 2023-08-2144Checkers3Marlies5LBoxScore
13 - 2023-08-2261Checkers5Marlies6LBoxScore
16 - 2023-08-2569Checkers1Americans7LBoxScore
18 - 2023-08-2776Islanders5Checkers1LBoxScore
19 - 2023-08-2886Islanders7Checkers3LBoxScore
25 - 2023-09-03113Gulls8Checkers0LBoxScore
26 - 2023-09-04124Gulls8Checkers0LBoxScore
32 - 2023-09-10161Checkers4Barracuda6LBoxScore
34 - 2023-09-12179Checkers3Barracuda2WBoxScore
37 - 2023-09-15189Checkers2Gulls6LBoxScore
39 - 2023-09-17202Checkers0Gulls3LBoxScore
42 - 2023-09-20223Monsters9Checkers1LBoxScore
44 - 2023-09-22231Monsters5Checkers1LBoxScore
46 - 2023-09-24238Penguins8Checkers1LBoxScore
47 - 2023-09-25250Penguins7Checkers1LBoxScore
53 - 2023-10-01277Bears5Checkers4LBoxScore
54 - 2023-10-02291Bears5Checkers6WBoxScore
60 - 2023-10-08321Checkers1Americans10LBoxScore
61 - 2023-10-09336Checkers3Phantoms6LBoxScore
62 - 2023-10-10347Checkers1Bears7LBoxScore
65 - 2023-10-13352Checkers3Phantoms7LBoxScore
67 - 2023-10-15359Islanders2Checkers1LBoxScore
68 - 2023-10-16370Islanders6Checkers0LBoxScore
73 - 2023-10-21399Phantoms6Checkers3LBoxScore
74 - 2023-10-22402Phantoms7Checkers3LBoxScore
81 - 2023-10-29442Checkers0Penguins10LBoxScore
82 - 2023-10-30452Checkers1Penguins3LBoxScore
83 - 2023-10-31466Checkers1Phantoms3LBoxScore
86 - 2023-11-03472Checkers3Bears5LBoxScore
89 - 2023-11-06490Checkers2Islanders4LBoxScore
90 - 2023-11-07502Checkers3Islanders4LBoxScore
95 - 2023-11-12517Americans7Checkers1LBoxScore
96 - 2023-11-13535Americans7Checkers0LBoxScore
99 - 2023-11-16553Barracuda8Checkers2LBoxScore
100 - 2023-11-17556Barracuda6Checkers1LBoxScore
103 - 2023-11-20575Marlies6Checkers5LXBoxScore
104 - 2023-11-21589Marlies4Checkers5WBoxScore
109 - 2023-11-26613Checkers2Thunderbirds9LBoxScore
110 - 2023-11-27630Checkers0Thunderbirds5LBoxScore
111 - 2023-11-28638Checkers1Bruins11LBoxScore
114 - 2023-12-01644Checkers1Wolfpack7LBoxScore
116 - 2023-12-03655Bruins9Checkers3LBoxScore
117 - 2023-12-04671Bruins9Checkers4LBoxScore
123 - 2023-12-10686Checkers1Monsters8LBoxScore
125 - 2023-12-12711Checkers3Monsters8LBoxScore
131 - 2023-12-18734Thunderbirds9Checkers1LBoxScore
132 - 2023-12-19750Thunderbirds8Checkers2LBoxScore
138 - 2023-12-25783Phantoms6Checkers3LBoxScore
139 - 2023-12-26797Phantoms7Checkers3LBoxScore
142 - 2023-12-29806Checkers2Wolfpack8LBoxScore
144 - 2023-12-31823Checkers2Penguins7LBoxScore
145 - 2024-01-01832Checkers0Penguins7LBoxScore
151 - 2024-01-07858Bears9Checkers0LBoxScore
152 - 2024-01-08870Bears6Checkers0LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2024-01-11890Wolfpack7Checkers0LBoxScore
156 - 2024-01-12896Wolfpack7Checkers0LBoxScore
159 - 2024-01-15916Thunderbirds6Checkers2LBoxScore
160 - 2024-01-16929Thunderbirds2Checkers3WBoxScore
165 - 2024-01-21954Checkers3Thunderbirds7LBoxScore
166 - 2024-01-22968Checkers1Bruins8LBoxScore
170 - 2024-01-26986Checkers1Wolfpack7LBoxScore
172 - 2024-01-28997Checkers1Islanders7LBoxScore
173 - 2024-01-291012Checkers1Islanders6LBoxScore
180 - 2024-02-051046Wolfpack7Checkers0LBoxScore
181 - 2024-02-061060Wolfpack8Checkers1LBoxScore
187 - 2024-02-121097Checkers0Thunderbirds4LBoxScore
188 - 2024-02-131102Checkers1Wolfpack7LBoxScore
191 - 2024-02-161110Checkers1Bears3LBoxScore
194 - 2024-02-191132Checkers-Bears-
195 - 2024-02-201147Checkers-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance68,64434,413
Attendance PCT95.34%95.59%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2863 - 95.42% 71,347$2,568,488$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
210,697$ 108,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 112,714$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 4 1,069$ 4,276$




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
1282274704103229277-4841102703001103146-4341172001102126131-56622942165027089874923120738806751289682493816754516514.41%3875785.27%3985231742.51%1140272441.85%493120340.98%166911522348600926425
1282274704103229277-4841102703001103146-4341172001102126131-56622942165027089874923120738806751289682493816754516514.41%3875785.27%3985231742.51%1140272441.85%493120340.98%166911522348600926425
1376145404301187334-1473892302301107157-50385310200080177-97401873195061107171412135068570972926567697501372401399.73%3238773.07%1884219840.22%856229837.25%457115339.64%14089702331569840357
137617002300127409-282380350030067214-147381350200060195-13591272453721004744341736057557558231959386031263345267.54%2396572.80%2565181231.18%751251829.83%369118931.03%10496782684584834315
1376145404301187334-1473892302301107157-50385310200080177-97401873195061107171412135068570972926567697501372401399.73%3238773.07%1884219840.22%856229837.25%457115339.64%14089702331569840357
137617002300127409-282380350030067214-147381350200060195-13591272453721004744341736057557558231959386031263345267.54%2396572.80%2565181231.18%751251829.83%369118931.03%10496782684584834315
147632260842419316429381813032029277153814130522210187149219333252519064685120270687681633189962269011633444813.95%2663786.09%21114231848.06%1089230247.31%528104750.43%182513091898541897440
14762730100080462-382381370000042228-186381360100038234-19668015623610029262414970490522481358810156991223226114.87%2907773.45%1392164323.86%590274621.49%275116923.52%9235832850558789281
147632260842419316429381813032029277153814130522210187149219333252519064685120270687681633189962269011633444813.95%2663786.09%21114231848.06%1089230247.31%528104750.43%182513091898541897440
14762730100080462-382381370000042228-186381360100038234-19668015623610029262414970490522481358810156991223226114.87%2907773.45%1392164323.86%590274621.49%275116923.52%9235832850558789281
1582254006443204246-424115150522211710984110250122187137-507720434554906071645922010716725731269179791014873866917.88%3835286.42%31164241048.30%1226279543.86%551115347.79%182512922230579927433
1582373005352236188484121130204112991384116170331110797109923642065611301026064210406916956882132603105015114186816.27%4485787.28%61316244253.89%1247253549.19%590116250.77%207114721926567968493
1582254006443204246-424115150522211710984110250122187137-507720434554906071645922010716725731269179791014873866917.88%3835286.42%31164241048.30%1226279543.86%551115347.79%182512922230579927433
1582373005352236188484121130204112991384116170331110797109923642065611301026064210406916956882132603105015114186816.27%4485787.28%61316244253.89%1247253549.19%590116250.77%207114721926567968493
16824623022452301379341191601104876918412770114114368751112304076370180957455208306936736911646513142517044127417.96%6106589.34%61646257064.05%1465242560.41%658106761.67%232816801670563975519
16824622032542691421274125120100313264684121100225113778591142694627311160111816924770855792797185450295213794278118.97%3914787.98%61609256862.66%1344227159.18%700111562.78%233017481716535929490
16824623022452301379341191601104876918412770114114368751112304076370180957455208306936736911646513142517044127417.96%6106589.34%61646257064.05%1465242560.41%658106761.67%232816801670563975519
16824622032542691421274125120100313264684121100225113778591142694627311160111816924770855792797185450295213794278118.97%3914787.98%61609256862.66%1344227159.18%700111562.78%233017481716535929490
1772105701112144362-218366290000175180-105364280111169182-113271442744181007832321926068061861034619756641245248176.85%2736177.66%2612180633.89%752256029.38%340108731.28%11287752462513747296
17725413012202981141843627601020157551023627700200141598211629854684401501251016925450855837844137441875312443859524.68%3152990.79%31661252165.89%1077176960.88%674103565.12%219016601333438815449
1772105701112144362-218366290000175180-105364280111169182-113271442744181007832321926068061861034619756641245248176.85%2736177.66%2612180633.89%752256029.38%340108731.28%11287752462513747296
17725413012202981141843627601020157551023627700200141598211629854684401501251016925450855837844137441875312443859524.68%3152990.79%31661252165.89%1077176960.88%674103565.12%219016601333438815449
187046500100121445-324363320010064232-168341330000057213-15691212383590046393601600489558553034109636191149292289.59%2527271.43%1497164330.25%625248225.18%288112625.58%9586212509514732273
Total Regular Season178659297507451464845156115-160089430548403623163022803012-73289228749103828301822353103-86815234515809212607181704618031452109447686489158881581915074581941691519487316818378121414.49%8102134083.46%71243935085347.97%236995636842.04%115582588644.65%38463272704941512617200339279
Playoff
1540400000619-1320200000210-82020000049-50612180003036802920191203163952214.55%26773.08%0399939.39%3412527.20%186428.13%8658105294722
1540400000619-1320200000210-82020000049-50612180003036802920191203163952214.55%26773.08%0399939.39%3412527.20%186428.13%8658105294722
Total Playoff808000001238-2640400000420-1640400000818-1001224360006061360584038240621261904424.55%521473.08%07819839.39%6825027.20%3612828.13%173116211599445