Crunch

GP: 70 | W: 10 | L: 59 | OTL: 1 | P: 21
GF: 166 | GA: 400 | PP%: 12.23% | PK%: 71.95%
GM : Nick Fournier | Morale : 50 | Team Overall : 63
Next Games #1120 vs Comets

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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
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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.
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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
1Drake Caggiula0XX100.006438816866907664706562686370723650650
2Byron Froese0X100.006939766278868363796462636272743750640
3Ryan Dzingel0XXX100.006242737074816967726263596673743850640
4Brendan Lemieux0XX100.008982586680767763566162576268706650630
5Tye Kartye0XX100.006441716573857364666365626562644350630
6Karson Kuhlman0XX100.006933956667797763606158696168693650630
7Lane Pederson0X100.007541796373817857785966586167684250620
8Max Willman0X100.006637826071808659655859616068704950610
9Tuukka Tieksola0X100.006036896260676958626057535862645950580
10Blake Hillman0X100.006739885576667054305650574567694250590
11Ole Bjorgvik-Holm0X100.006938935278626351305250544561635650570
12Zach Uens0X100.006440745373646352305452534562646250560
Scratches
TEAM AVERAGE100.00684280627276746058605960586768475061
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 Domingue100.00756768857473757473757473855250730
2Oscar Dansk100.00706061846968706968706971836350690
Scratches
1Isaac Poulter100.00675859756665676665676662674450650
TEAM AVERAGE100.0071626381706971706971706978535069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Van Ryn65707368645983CAN4411,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Byron FroeseCrunch (Tam)C51392160-34102401121472737820114.29%69100619.73931257120000183364.81%111100031.1900233620
2Patrik NemethTampa LightningD41675406064616.67%49724.4311229000012000.00%000001.4300000001
Team Total or Average55402767-29106401181472798220714.34%73110320.0710414591290001213364.81%111100031.2100233621
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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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
Blake HillmanD281996-01-26No193 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brendan LemieuxLW/RW281996-03-15No215 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Byron FroeseC331991-03-12No202 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Drake CaggiulaC/LW291994-06-20No176 Lbs5 ft10NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Isaac PoulterG222001-09-12No174 Lbs6 ft2NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Karson KuhlmanC/RW281995-09-26No184 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Lane PedersonC261997-08-04No192 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Louis DomingueG321992-03-06No208 Lbs6 ft3NoNoNo4UFAPro & Farm750,000$0$0$NoLink / NHL Link
Max WillmanC291995-02-13No184 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ole Bjorgvik-HolmD212002-05-23No190 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Oscar DanskG301994-02-28No204 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ryan DzingelC/LW/RW321992-03-09No190 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Tuukka TieksolaRW222001-06-22No146 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Tye KartyeC/LW222001-04-30No202 Lbs5 ft11NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Zach UensD222001-05-13No180 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1526.93189 Lbs6 ft02.60450,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
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
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
7021L116631548119253146879653120410
All Games
GPWLOTWOTL SOWSOLGFGA
7010590100166400
Home Games
GPWLOTWOTL SOWSOLGFGA
35530000085189
Visitor Games
GPWLOTWOTL SOWSOLGFGA
35529010081211
Last 10 Games
WLOTWOTL SOWSOL
190000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2783412.23%2466971.95%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
63058670907242520
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
701181138.71%796232534.24%444115238.54%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11027412352501745303


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 - 2023-08-132Crunch0Comets9LBoxScore
5 - 2023-08-1418Islanders7Crunch2LBoxScore
11 - 2023-08-2035Crunch5Monsters4WBoxScore
12 - 2023-08-2149Crunch6Monsters4WBoxScore
18 - 2023-08-2777Comets4Crunch0LBoxScore
19 - 2023-08-2889Rocket5Crunch0LBoxScore
23 - 2023-09-01110Crunch4Americans7LBoxScore
26 - 2023-09-04127Americans7Crunch1LBoxScore
30 - 2023-09-08146Crunch0Senators8LBoxScore
32 - 2023-09-10152Penguins5Crunch1LBoxScore
33 - 2023-09-11162Crunch0Penguins6LBoxScore
36 - 2023-09-14182Crunch1Islanders7LBoxScore
39 - 2023-09-17193Wolfpack4Crunch1LBoxScore
40 - 2023-09-18207Crunch2Wolfpack5LBoxScore
44 - 2023-09-22232Crunch2Comets6LBoxScore
46 - 2023-09-24239Comets8Crunch1LBoxScore
47 - 2023-09-25256Rocket3Crunch2LBoxScore
53 - 2023-10-01278Marlies3Crunch5WBoxScore
54 - 2023-10-02290Crunch3Marlies5LBoxScore
60 - 2023-10-08315Bears2Crunch6WBoxScore
61 - 2023-10-09333Comets7Crunch4LBoxScore
62 - 2023-10-10344Crunch3Comets8LBoxScore
65 - 2023-10-13353Crunch1Penguins7LBoxScore
68 - 2023-10-16369Crunch6Comets5WBoxScore
69 - 2023-10-17384Crunch4Bruins7LBoxScore
72 - 2023-10-20389Rocket6Crunch4LBoxScore
74 - 2023-10-22404Monsters7Crunch3LBoxScore
75 - 2023-10-23417Americans5Crunch0LBoxScore
79 - 2023-10-27431Crunch3Americans8LBoxScore
81 - 2023-10-29441Crunch0Rocket2LBoxScore
82 - 2023-10-30450Crunch2Rocket4LBoxScore
89 - 2023-11-06488Crunch4Marlies3WBoxScore
90 - 2023-11-07508Crunch6Marlies5WBoxScore
95 - 2023-11-12518Thunderbirds4Crunch0LBoxScore
96 - 2023-11-13536Monsters10Crunch4LBoxScore
98 - 2023-11-15548Comets4Crunch2LBoxScore
102 - 2023-11-19565Bruins5Crunch3LBoxScore
103 - 2023-11-20579Comets5Crunch1LBoxScore
109 - 2023-11-26608Rocket6Crunch3LBoxScore
110 - 2023-11-27626Crunch1Comets6LBoxScore
114 - 2023-12-01649Crunch2Americans5LBoxScore
116 - 2023-12-03656Senators4Crunch6WBoxScore
117 - 2023-12-04674Senators8Crunch3LBoxScore
123 - 2023-12-10691Crunch0Americans9LBoxScore
124 - 2023-12-11700Americans7Crunch2LBoxScore
128 - 2023-12-15720Crunch4Senators6LBoxScore
131 - 2023-12-18739Crunch2Phantoms4LBoxScore
137 - 2023-12-24771Crunch3Comets4LXBoxScore
138 - 2023-12-25788Senators5Crunch3LBoxScore
139 - 2023-12-26801Comets7Crunch1LBoxScore
142 - 2023-12-29811Crunch0Americans7LBoxScore
144 - 2023-12-31817Marlies4Crunch5WBoxScore
145 - 2024-01-01831Crunch4Marlies5LBoxScore
149 - 2024-01-05851Crunch1Rocket6LBoxScore
151 - 2024-01-07864Crunch2Americans7LBoxScore
152 - 2024-01-08874Americans5Crunch2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2024-01-12897Americans5Crunch2LBoxScore
158 - 2024-01-14905Senators6Crunch3LBoxScore
159 - 2024-01-15918Crunch2Bears7LBoxScore
165 - 2024-01-21951Penguins6Crunch1LBoxScore
166 - 2024-01-22970Crunch1Thunderbirds9LBoxScore
167 - 2024-01-23975Crunch3Bruins9LBoxScore
170 - 2024-01-26987Americans5Crunch1LBoxScore
172 - 2024-01-28998Phantoms6Crunch3LBoxScore
173 - 2024-01-291013Bruins6Crunch2LBoxScore
179 - 2024-02-041038Crunch0Rocket7LBoxScore
180 - 2024-02-051050Crunch0Senators5LBoxScore
186 - 2024-02-111078Marlies6Crunch4LBoxScore
187 - 2024-02-121093Marlies2Crunch4WBoxScore
191 - 2024-02-161111Crunch4Senators5LBoxScore
193 - 2024-02-181120Crunch-Comets-
194 - 2024-02-191133Comets-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance66,24033,365
Attendance PCT94.63%95.33%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
1 2846 - 94.86% 70,875$2,480,609$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,047,853$ 67,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 68,405$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
70,875$ 4 5,474$ 21,896$




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
12824224045432491727741221102132129824741201302411120903010824944669511101008259220907137227491711511139218355107414.51%5767287.50%41584255661.97%1364233558.42%730118261.76%225316091733575989519
137638250452221917247381615023111108723382210022111098524952193866051120747960194205796916561716532120416284426314.25%5016287.62%71315230057.17%1227222855.07%613109256.14%199214051686539920480
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
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
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
177233280212629026426361812000241521312136151602102138133581290441731130123798426320851832927238771270312803476017.29%2946577.89%11186228052.02%946219343.14%608118851.18%168612591905470774367
1870105900100166400-234355300000085189-104355290010081211-1302116631548110724252019256305867090314687965312042783412.23%2466971.95%4701181138.71%796232534.24%444115238.54%11027412352501745303
Total Regular Season1010468389036453438320428683365052391820142226221675137530050522920702223816152914933611593204553387371598721232982848300396309690982996382674879291303319068529284015.87%533481984.65%64175413155155.60%151002966950.89%82641527654.10%2532818215240936972117165900
Playoff
1151400000616-102020000017-63120000059-4261218000051810203427125301361233425.88%57984.21%06714446.53%9817655.68%366654.55%10566132406229
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
1251400000515-102110000055030300000010-10251015010113810262628145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
1412750000024195541000001073734000001412214244165020104734901039487330981252479477.45%54590.74%024049348.68%21547545.26%8018942.33%34723937211218390
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
15514000001319-62020000049-531200000910-12132336010355134040484612429598327725.93%26773.08%06516439.63%5112341.46%277237.50%11378124376230
Total Playoff5420340000096138-42221012000004056-16321022000005682-26409617226808028303212900378404376144838481811663423610.53%3505684.00%0894186647.91%912188848.31%35678445.41%13338941535454742358