CALGARY WRANGLERS

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Peter S | Morale : 35 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 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
1Nick Ritchie (R)X100.00634778808488856951767055628775066702
2Michael McCarron (R)X100.00999046768575736055636070587672079671
3Glenn Gawdin (R)X100.00664559767467686762676367606961059652
4Jordan Greenway (R)XX100.00705179708376736657636657617056050642
5Peter MuellerXXX100.0019799607979866568655865769493047642
6Hunter Smith (R)X100.00463578797475746744636459557570058642
7Kris VersteegXX100.00221799647272885760475391738987034630
8Ryan Poehling (R)X100.00481274807969765972646457546560062631
9Zack PhillipsX100.00737139657684766559685656587576053632
10Owen Tippett (R)X100.00522181767264646348596762676157084621
11Grigori Denisenko (R)X100.00341278666763656358616059666065031592
12Evan Barratt (R)X100.00562872636758595955605857566056031572
13Dennis Cholowski (R)X100.00312192778069755330606164406871041621
14Ryan Merkley (R)X100.00551069687070696030665558446056057602
15Josh Brook (R)X100.00703862646561656240645862446157045602
16Brett Lernout (R)X100.00492665708062725740494457547269037592
17John DraegerX100.00595761578357585638494859426573032582
18Cale Fleury (R)X100.00634070646662635740555060385651034582
Scratches
1Jaret Anderson-Dolan (R)X100.00542772746565695860585458556460020592
2Alexei Toropchenko (R)XXX100.00462060636463645944585658595762018572
3Jakub Lauko (R)X100.00282272646259705865585555586056019562
4Martins Dzierkals (R)X100.00462576687464665553494555596567019552
5Tim BozonX100.0071198618059745127514362477571019542
6Cale Makar (R)X86.65562568787465696740695862626564025641
7Jyrki JokipakkaX100.0045690657667766440554464517868013612
8Lucas Johansen (R)X90.78481264737360656220594465306366016611
9Linus Högberg (R)X100.00562575706458585725585860565961020582
TEAM AVERAGE99.1650307369746770614760566155686604061
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
1Cal Petersen (R)100.0064666381675859565854516567034622
Scratches
1Adin Hill (R)100.0064676582686069696867557365051672
2Dustin Tokarski100.0060666580686166646260647873019652
3Connor Ingram (R)100.0062605874605855605656596261019592
4Evan Cormier (R)100.0064595874606059595854506164019592
TEAM AVERAGE100.006364627865596262605856686602862
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Wayne Gretzky78737373878763CAN5421,419,000$


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 Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adin HillCALGARY WRANGLERS (CAL)G225/29/1997 6:12:33 AMYes212 Lbs6 ft6NoNoNo4Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No500,000$500,000$500,000$
Alexei ToropchenkoCALGARY WRANGLERS (CAL)C/LW/RW206/1/1999 9:31:00 AMYes182 Lbs6 ft1NoNoNo3Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No500,000$500,000$
Brett LernoutCALGARY WRANGLERS (CAL)D236/1/1996 5:54:24 AMYes212 Lbs6 ft5NoNoNo2Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No500,000$
Cal PetersenCALGARY WRANGLERS (CAL)G246/22/1995 11:58:41 AMYes215 Lbs6 ft4NoNoNo1Pro & Farm300,000$85,714$40,000$11,429$30,000$8,571$No
Cale Fleury CALGARY WRANGLERS (CAL)D206/1/1999 8:27:34 AMYes204 Lbs6 ft2NoNoNo2Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No500,000$
Cale MakarCALGARY WRANGLERS (CAL)D2110/30/1998 4:36:20 AMYes196 Lbs6 ft1NoNoNo2Pro & Farm750,000$214,286$40,000$11,429$75,000$21,429$No750,000$
Connor IngramCALGARY WRANGLERS (CAL)G216/1/1998 3:21:03 AMYes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No
Dennis CholowskiCALGARY WRANGLERS (CAL)D222/15/1998 1:40:18 PMYes183 Lbs6 ft2NoNoNo1Pro & Farm650,000$185,714$40,000$11,429$65,000$18,571$No
Dustin TokarskiCALGARY WRANGLERS (CAL)G308/11/1989 5:36:04 AMNo218 Lbs6 ft0NoNoNo2Pro & Farm700,000$200,000$40,000$11,429$70,000$20,000$No700,000$
Evan Barratt CALGARY WRANGLERS (CAL)C206/1/1999 8:31:32 AMYes182 Lbs6 ft0NoNoNo3Pro & Farm550,000$157,143$40,000$11,429$55,000$15,714$No550,000$550,000$
Evan CormierCALGARY WRANGLERS (CAL)G216/1/1998 9:35:18 AMYes205 Lbs6 ft2NoNoNo2Pro & Farm400,000$114,286$40,000$11,429$40,000$11,429$No400,000$
Glenn GawdinCALGARY WRANGLERS (CAL)C233/25/1997 12:18:45 AMYes196 Lbs6 ft1NoNoNo2Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No500,000$
Grigori DenisenkoCALGARY WRANGLERS (CAL)LW196/24/2000 5:17:04 AMYes165 Lbs5 ft10NoNoNo3Pro & Farm750,000$214,286$40,000$11,429$75,000$21,429$No750,000$750,000$
Hunter SmithCALGARY WRANGLERS (CAL)RW246/1/1995 5:48:09 AMYes192 Lbs6 ft2NoNoNo2Pro & Farm780,000$222,857$40,000$11,429$78,000$22,286$No780,000$
Jakub LaukoCALGARY WRANGLERS (CAL)C196/1/2000 4:33:46 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm650,000$185,714$40,000$11,429$65,000$18,571$No650,000$650,000$
Jaret Anderson-DolanCALGARY WRANGLERS (CAL)C209/12/1999 1:27:22 AMYes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No500,000$
John DraegerCALGARY WRANGLERS (CAL)D259/12/1994 6:45:47 AMNo238 Lbs6 ft5NoNoNo2Pro & Farm480,000$137,143$40,000$11,429$48,000$13,714$No480,000$
Jordan GreenwayCALGARY WRANGLERS (CAL)LW/RW232/16/1997 4:54:01 AMYes237 Lbs6 ft6NoNoNo1Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No
Josh BrookCALGARY WRANGLERS (CAL)D206/17/1999 7:28:10 AMYes205 Lbs6 ft2NoNoNo2Pro & Farm450,000$128,571$40,000$11,429$45,000$12,857$No450,000$
Jyrki JokipakkaCALGARY WRANGLERS (CAL)D288/20/1991 2:13:08 AMNo203 Lbs6 ft3NoNoNo2Pro & Farm700,000$200,000$40,000$11,429$70,000$20,000$No700,000$
Kris VersteegCALGARY WRANGLERS (CAL)C/RW335/13/1986No193 Lbs5 ft10NoNoNo1Pro & Farm500,000$142,857$40,000$11,429$50,000$14,286$No
Linus HögbergCALGARY WRANGLERS (CAL)D219/4/1998 9:45:12 AMYes187 Lbs6 ft2NoNoNo3Pro & Farm600,000$171,429$40,000$11,429$60,000$17,143$No600,000$600,000$
Lucas JohansenCALGARY WRANGLERS (CAL)D2211/16/1997 9:01:57 AMYes182 Lbs6 ft3NoNoNo1Pro & Farm650,000$185,714$40,000$11,429$65,000$18,571$No
Martins DzierkalsCALGARY WRANGLERS (CAL)LW226/26/1997 1:45:43 PMYes193 Lbs6 ft2NoNoNo1Pro & Farm300,000$85,714$40,000$11,429$30,000$8,571$No
Michael McCarronCALGARY WRANGLERS (CAL)RW253/7/1995 1:54:49 AMYes251 Lbs6 ft6NoNoNo1Pro & Farm650,000$185,714$40,000$11,429$65,000$18,571$No
Nick RitchieCALGARY WRANGLERS (CAL)LW2412/5/1995 1:44:51 AMYes243 Lbs6 ft4NoNoNo2Pro & Farm750,000$214,286$40,000$11,429$75,000$21,429$No750,000$
Owen TippettCALGARY WRANGLERS (CAL)RW212/16/1999 4:53:56 AMYes213 Lbs6 ft3NoNoNo2Pro & Farm750,000$214,286$40,000$11,429$75,000$21,429$No750,000$
Peter MuellerCALGARY WRANGLERS (CAL)C/LW/RW314/14/1988No219 Lbs6 ft2NoNoNo2Pro & Farm510,000$145,714$51,000$14,571$No510,000$
Ryan MerkleyCALGARY WRANGLERS (CAL)D198/14/2000 5:30:26 AMYes170 Lbs5 ft11NoNoNo3Pro & Farm750,000$214,286$40,000$11,429$75,000$21,429$No750,000$750,000$
Ryan PoehlingCALGARY WRANGLERS (CAL)C211/3/1999 5:41:46 AMYes193 Lbs6 ft6NoNoNo2Pro & Farm650,000$185,714$40,000$11,429$65,000$18,571$No650,000$
Tim BozonCALGARY WRANGLERS (CAL)LW259/12/1994 6:38:14 AMNo221 Lbs6 ft4NoNoNo2Pro & Farm600,000$171,429$40,000$11,429$60,000$17,143$No600,000$
Zack PhillipsCALGARY WRANGLERS (CAL)C2710/28/1992 10:58:14 AMNo204 Lbs6 ft3NoNoNo1Pro & Farm650,000$185,714$40,000$11,429$65,000$18,571$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3223.00203 Lbs6 ft21.97578,750$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick RitchieGlenn GawdinMichael McCarron40122
2Jordan GreenwayPeter MuellerHunter Smith30122
3Grigori DenisenkoZack PhillipsKris Versteeg20122
4Nick RitchieRyan PoehlingOwen Tippett10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis CholowskiJosh Brook40122
2Cale Fleury Ryan Merkley30122
3Brett LernoutJohn Draeger20122
4Dennis CholowskiJosh Brook10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick RitchieGlenn GawdinMichael McCarron60122
2Jordan GreenwayPeter MuellerHunter Smith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis CholowskiJosh Brook60122
2Cale Fleury Ryan Merkley40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nick RitchieMichael McCarron60122
2Glenn GawdinPeter Mueller40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis CholowskiCale Fleury 60122
2Josh BrookRyan Merkley40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nick Ritchie60122Dennis CholowskiCale Fleury 60122
2Michael McCarron40122Josh BrookRyan Merkley40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nick RitchieMichael McCarron60122
2Glenn GawdinPeter Mueller40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis CholowskiCale Fleury 60122
2Josh BrookRyan Merkley40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nick RitchieGlenn GawdinMichael McCarronDennis CholowskiJosh Brook
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nick RitchieGlenn GawdinMichael McCarronDennis CholowskiJosh Brook
Extra Forwards
Normal PowerPlayPenalty Kill
Evan Barratt , Zack Phillips, Kris VersteegEvan Barratt , Zack PhillipsKris Versteeg
Extra Defensemen
Normal PowerPlayPenalty Kill
Cale Fleury , John Draeger, Josh BrookCale Fleury John Draeger, Josh Brook
Penalty Shots
Nick Ritchie, Michael McCarron, Glenn Gawdin, Peter Mueller, Hunter Smith
Goalie
#1 : , #2 : Cal Petersen
Custom OT Lines Forwards
Nick Ritchie, Michael McCarron, Glenn Gawdin, Peter Mueller, Hunter Smith, Jordan Greenway, Jordan Greenway, Zack Phillips, Kris Versteeg, Ryan Poehling, Owen Tippett
Custom OT Lines Defensemen
Dennis Cholowski, Josh Brook, Cale Fleury , Ryan Merkley, Brett Lernout


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
OverallHomeVisitor
# VS Team 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 PCT 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity30002000
Ticket Price3215
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
42 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,852,000$ 124,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 32 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 4 0$ 0$




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
884274305243267305-3842102405201129158-2942171900042138147-9542674226893073929313246475383684552255982890115562346126.07%3248175.00%5914169553.92%851163052.21%665128051.95%171594618287941549758
Total Regular Season84274305243267305-3842102405201129158-2942171900042138147-9542674226893073929313246475383684552255982890115562346126.07%3248175.00%5914169553.92%851163052.21%665128051.95%171594618287941549758