Wranglers

GP: 49 | W: 14 | L: 32 | OTL: 3 | P: 31
GF: 136 | GA: 248 | PP%: 13.43% | PK%: 75.24%
GM : Martin Thibault | Morale : 50 | Team Overall : 62
Next Games #789 vs Moose

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8*Wildcard for zero or more non-space characters.
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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
1Walker Duehr0X100.007441836682818464596167606567684250650
2Dryden Hunt0X100.008045776273798763646260616369713650630
3Kyle Clifford0X100.008186676084807561626359606479744750630
4Gemel Smith0X100.007271546271847364636560616269715050630
5Mike Vecchione0X100.005936856369808462656160586270723550620
6Brett Ritchie0X100.007678816189757759575862566072705950620
7Mitchell Stephens0X100.006138816172867759796458655966687350620
8Luke Toporowski0X100.006039786269856861625963576264624450610
9James Hamblin0X100.005635896365828362645859615964664350610
10Alan Quine0X99.006638915975737958696256576170723950610
11Nate Thompson0X100.006944685978677156855552685379811950610
12Danick Martel0X100.005739715866907857615957566069713650600
13Nathan Burke0X100.006941746078796059605661586065674250600
14Adam Raska0X100.007844605866738159575859605862644950600
15Andy Welinski0X100.006938895878767757306054564770725150620
16Matt Bartkowski0X100.006940795478718653305552564575772550610
17Declan Carlile0X100.007039835679647454305755564763654450590
18Cooper Zech0X100.006236935362717252305453504565674250560
Scratches
TEAM AVERAGE99.94684678607478775957595859576970435061
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Vadim Zherenko100.00716263767069717069717062674950680
2Juho Olkiuora100.00665960816564666564666573872650660
Scratches
TEAM AVERAGE100.0069616279686769686769686877385067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Woods66737460827766CAN5581,000,000$


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
1Alan QuineWranglers (Cal)C49351449-2257151751202708521112.96%4794919.3862866141000004265.12%4300041.0300120954
2James HamblinWranglers (Cal)LW25181129-41806078149438012.08%2040116.064373686000002088.00%2500021.4400000422
3Mike VecchioneWranglers (Cal)RW4917623-1725585741463010711.64%314869.93000110000002174.07%2700000.9500010434
4Cooper ZechWranglers (Cal)D4941620-11335644138131510.53%384469.111122100000100.00%000000.9000001105
5Nick CicekCalgary FlamesD10281033404114264197.69%2019819.870001526000011000.00%000001.0100000001
6Connor DewarCalgary FlamesC/LW732558023627122111.11%015221.831012240000190061.11%1800000.6500000110
Team Total or Average1897957136-461752544833365618745312.04%156263513.94126181222900000309371.68%11300061.0300131191116
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


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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
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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 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 RaskaRW222001-09-25No178 Lbs5 ft10NoNoNo3ELCPro & Farm300,000$0$0$NoLink
Alan QuineC301993-02-25No203 Lbs6 ft0NoNoNo1UFAPro & Farm400,000$0$0$NoLink / NHL Link
Andy WelinskiD301993-04-27No201 Lbs6 ft1NoNoNo3UFAPro & Farm400,000$0$0$NoLink / NHL Link
Brett RitchieRW301993-07-01No215 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cooper ZechD251998-12-18No161 Lbs5 ft9NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Danick MartelLW291994-12-12No184 Lbs5 ft9NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Declan CarlileD232000-05-18No192 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Dryden HuntLW281995-11-24No193 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Gemel SmithC291994-04-16No203 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
James HamblinLW241999-04-27No176 Lbs5 ft9NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Juho OlkiuoraG331990-11-04No201 Lbs6 ft2NoNoNo4UFAPro & Farm500,000$0$0$NoLink
Kyle CliffordLW331991-01-13No217 Lbs6 ft2NoNoNo3UFAPro & Farm400,000$0$0$NoLink / NHL Link
Luke ToporowskiLW222001-04-12No183 Lbs5 ft11NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Matt BartkowskiD351988-06-04No201 Lbs6 ft1NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Mike VecchioneRW301993-02-25No193 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Mitchell StephensC271997-02-05No190 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nate ThompsonC391984-10-05No205 Lbs6 ft1NoNoNo1UFAPro & Farm400,000$0$0$NoLink / NHL Link
Nathan BurkeLW251998-12-21No190 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Vadim ZherenkoG222001-03-15No176 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Walker DuehrRW261997-11-23No210 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2028.10194 Lbs6 ft02.40380,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alan Quine40122
230122
3Mike Vecchione20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
3Cooper Zech20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alan Quine60122
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
Alan Quine
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alan Quine
Extra Forwards
Normal PowerPlayPenalty Kill
Mike Vecchione, , Alan QuineMike Vecchione, Alan Quine
Extra Defensemen
Normal PowerPlayPenalty Kill
Cooper Zech, , Cooper Zech,
Penalty Shots
, , , , Alan Quine
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , Alan Quine, Mike Vecchione, Mike Vecchione, , , ,
Custom OT Lines Defensemen
, , , , Cooper Zech


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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
4931L21362453811538199561246193801
All Games
GPWLOTWOTL SOWSOLGFGA
4912322300136248
Home Games
GPWLOTWOTL SOWSOLGFGA
24814200073118
Visitor Games
GPWLOTWOTL SOWSOLGFGA
25418030063130
Last 10 Games
WLOTWOTL SOWSOL
351100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2012713.43%2105275.24%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
53351648095541382
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
537136439.37%577161335.77%30980538.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9436741484335521229


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
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
4 - 2023-08-137Wranglers1Moose4LBoxScore
6 - 2023-08-1526Wranglers0Moose8LBoxScore
11 - 2023-08-2043Wranglers2Canucks4LBoxScore
12 - 2023-08-2158Wranglers2Canucks3LBoxScore
19 - 2023-08-2885Eagles4Wranglers0LBoxScore
20 - 2023-08-29100Eagles8Wranglers0LBoxScore
25 - 2023-09-03112Barracuda0Wranglers3WBoxScore
27 - 2023-09-05138Barracuda4Wranglers6WBoxScore
32 - 2023-09-10160Wranglers2Gulls5LBoxScore
33 - 2023-09-11171Wranglers7Firebirds6WBoxScore
36 - 2023-09-14183Condors5Wranglers7WBoxScore
37 - 2023-09-15188Condors2Wranglers3WBoxScore
39 - 2023-09-17201Wranglers2Reign5LBoxScore
41 - 2023-09-19222Wranglers4Reign5LXBoxScore
43 - 2023-09-21225Roadrunners5Wranglers7WBoxScore
44 - 2023-09-22237Roadrunners3Wranglers6WBoxScore
47 - 2023-09-25249Canucks5Wranglers3LBoxScore
48 - 2023-09-26265Canucks9Wranglers1LBoxScore
53 - 2023-10-01288Wranglers2Silver Knights10LBoxScore
55 - 2023-10-03308Wranglers2Silver Knights5LBoxScore
60 - 2023-10-08325Moose8Wranglers2LBoxScore
62 - 2023-10-10345Moose5Wranglers0LBoxScore
67 - 2023-10-15368Wranglers3Barracuda1WBoxScore
68 - 2023-10-16378Wranglers3Barracuda6LBoxScore
72 - 2023-10-20394Wranglers5Condors6LXBoxScore
74 - 2023-10-22411Wranglers1Eagles6LBoxScore
75 - 2023-10-23415Wranglers0Eagles6LBoxScore
80 - 2023-10-28438Canucks5Wranglers0LBoxScore
81 - 2023-10-29447Canucks8Wranglers0LBoxScore
84 - 2023-11-01468Firebirds4Wranglers3LBoxScore
85 - 2023-11-02470Firebirds5Wranglers6WXBoxScore
88 - 2023-11-05484Silver Knights3Wranglers0LBoxScore
89 - 2023-11-06500Silver Knights6Wranglers2LBoxScore
94 - 2023-11-11516Reign3Wranglers5WBoxScore
95 - 2023-11-12525Reign6Wranglers2LBoxScore
102 - 2023-11-19573Wranglers4Firebirds6LBoxScore
103 - 2023-11-20587Wranglers3Condors6LBoxScore
109 - 2023-11-26620Wranglers1Barracuda6LBoxScore
110 - 2023-11-27634Wranglers1Barracuda7LBoxScore
114 - 2023-12-01651Wranglers5Firebirds4WBoxScore
116 - 2023-12-03667Wranglers4Firebirds3WBoxScore
117 - 2023-12-04678Wranglers2Reign4LBoxScore
123 - 2023-12-10683Gulls7Wranglers3LBoxScore
124 - 2023-12-11708Gulls6Wranglers4LBoxScore
127 - 2023-12-14715Moose3Wranglers5WBoxScore
128 - 2023-12-15721Moose4Wranglers5WXBoxScore
131 - 2023-12-18747Wranglers2Canucks3LXBoxScore
133 - 2023-12-20758Wranglers2Canucks5LBoxScore
137 - 2023-12-24776Wranglers3Moose6LBoxScore
138 - 2023-12-25789Wranglers-Moose-
144 - 2023-12-31825Eagles-Wranglers-
146 - 2024-01-02841Eagles-Wranglers-
148 - 2024-01-04849Wranglers-Roadrunners-
149 - 2024-01-05853Wranglers-Roadrunners-
152 - 2024-01-08881Reign-Wranglers-
153 - 2024-01-09889Reign-Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
158 - 2024-01-14912Wranglers-Eagles-
159 - 2024-01-15925Wranglers-Eagles-
162 - 2024-01-18939Condors-Wranglers-
163 - 2024-01-19946Condors-Wranglers-
165 - 2024-01-21958Wranglers-Reign-
167 - 2024-01-23982Wranglers-Gulls-
169 - 2024-01-25985Firebirds-Wranglers-
170 - 2024-01-26992Firebirds-Wranglers-
172 - 2024-01-28995Barracuda-Wranglers-
174 - 2024-01-301021Barracuda-Wranglers-
179 - 2024-02-041043Wranglers-Condors-
180 - 2024-02-051058Wranglers-Condors-
185 - 2024-02-101075Canucks-Wranglers-
186 - 2024-02-111084Canucks-Wranglers-
193 - 2024-02-181129Wranglers-Canucks-
194 - 2024-02-191144Wranglers-Canucks-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance45,26222,689
Attendance PCT94.30%94.54%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
12 2831 - 94.38% 70,565$1,693,566$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
760,222$ 76,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 57,614$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
846,783$ 58 5,518$ 320,044$




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
1282442601632290223674120140042114611036412412012111441133110429046075016010710178268408658879182135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468
1282442601632290223674120140042114611036412412012111441133110429046075016010710178268408658879182135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468
136828310611122321493413150311111410773415160300010910727222338460734084706219410654592674188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
136828310611122321493413150311111410773415160300010910727222338460734084706219410654592674188450499113053676918.80%4077082.80%51138201456.50%1070205452.09%566103354.79%166512061674467761374
14683228032122291676234141700111110822834181103101119853476229390619260101754923470752763813244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
14683228032122291676234141700111110822834181103101119853476229390619260101754923470752763813244565863212662683513.06%2614781.99%11003205748.76%1079261441.28%45296047.08%144810501913472739338
15824725042222941901044124100410215584714123150012013910633110294480774180123828329380989968952216661885413334476213.87%3746083.96%01719282960.76%1409254155.45%724119660.54%207515391967552909450
15824725042222941901044124100410215584714123150012013910633110294480774180123828329380989968952216661885413334476213.87%3746083.96%01719282960.76%1409254155.45%724119660.54%207515391967552909450
1682165902311259414-1554192901101129198-694173001210130216-8642259383642100102866827310905914903299384483014314094911.98%35610071.91%21109257843.02%889244736.33%548136440.18%174612782327553863383
1682165902311259414-1554192901101129198-694173001210130216-8642259383642100102866827310905914903299384483014314094911.98%35610071.91%21109257843.02%889244736.33%548136440.18%174612782327553863383
177240220423125518768361810032301268046362212010011291072297255464719112093847122200714752740198557384313063806216.32%3265084.66%21330225159.08%1152213154.06%593108354.76%179212901735493825415
177240220423125518768361810032301268046362212010011291072297255464719112093847122200714752740198557384313063806216.32%3265084.66%21330225159.08%1152213154.06%593108354.76%179212901735493825415
1849123202300136248-112248140200073118-45254180030063130-67311362453810155413821538533516480919956124619382012713.43%2105275.24%1537136439.37%577161335.77%30980538.39%9436741484335521229
Total Regular Season95742641404235221832363038198478204204024201412163314401934792222100181586160315985103332365367860318735512611034824312605331027410232100092921181641137517700489571914.69%472286881.62%39164073020454.32%145473003148.44%76051463151.98%2277616615244036508105715093
Playoff
115140000069-32020000013-23120000056-12610160002219602630391254279923638.33%36391.67%06415541.29%9016753.89%305851.72%10466134416128
115140000069-32020000013-23120000056-12610160002219602630391254279923638.33%36391.67%06415541.29%9016753.89%305851.72%10466134416128
12514000001021-112020000038-531200000713-62101828000424115038393811729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
12514000001021-112020000038-531200000713-62101828000424115038393811729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
15514000001015-52020000016-531200000990210172700062217106567391394663892015.00%24579.17%012018564.86%7613456.72%427060.00%12292123315325
15514000001015-52020000016-531200000990210172700062217106567391394663892015.00%24579.17%012018564.86%7613456.72%427060.00%12292123315325
Total Playoff30624000005290-3812012000001034-2418612000004256-141252901420002412147640258272232762234440544166148.43%1943482.47%054499654.62%48487455.38%24041058.54%671466778226351161