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Wranglers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Steve Landry | Morale : 40 | Team Overall : 64
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Team Leaders

Team Stats
Team Info

General ManagerSteve Landry
CoachCraig MacTavish
DivisionFritz-Kraatz
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team33
Farm Team21
Contract Limit54 / 250
Prospects0


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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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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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 SPAgeContractSalary
1Peter Cehlarik (R)X100.007244827274787777757875657362544340730241900,000$
2Barclay GoodrowX100.008229777376757571676973756862543240720261900,000$
3Jesper Bratt (R)X100.006946747476787474757572647655465840710212900,000$
4Nico Sturm (R)X100.006929877481818069737863707160584140710242900,000$
5Ryan SpoonerX100.006631777275747667777768656561533040690271900,000$
6Eric Karlsson (R)X100.008033747277727466687075615954523540680251850,000$
7Ryan Donato (R)X100.007438776678677368766976526951454340670232850,000$
8Taylor Raddysh (R)X100.006247836972686373716568637045455440670213750,000$
9Vladislav Kamenev (R)X100.007331765773697171645775627546454440650232800,000$
10Tage Thompson (R)X100.006232867269796860687558666347475340650222800,000$
11Vitali Kravtsov (R)X100.007143766665647267656569596843436040640201500,000$
12Frank CorradoX100.007040747476727770617163736069543340710261900,000$
13Dominik Masin (R)X100.007031887273737262386650805757494440700231700,000$
14Erik Brannstrom (R)X100.006129757764627988478667754653456540700202800,000$
15Brandon Hickey (R)X100.006927866466687059407247805754483540680233900,000$
16Christian Jaros (R)X100.007029816969667067427349765551493940680231700,000$
17Petteri LindbohmX100.006139756869717372516772735956553140680262800,000$
18Trevor Carrick (R)X100.006238778167677677437655674450512940680252750,000$
Scratches
1Radim Zohorna (R)X100.005941766372756462585771476048464240610232650,000$
2Ivan Chekhovich (R)X100.006426785077576162606278406642425640600203600,000$
3Kaapo Kakko (R)X100.005844705763685368636258486840407940590182500,000$
4Skyler Brind'Amour (R)X100.004634785355705848555657585642425540550203600,000$
5Demetrios Koumontzis (R)X100.004331625653575257696459334841415140530191500,000$
6Filip Hallander (R)X100.004631686049505057466150424641416040520191500,000$
7Lucas Feuk (R)X100.004735595649574954475548385740406940500182500,000$
8Cole Schwindt (R)X100.006037494767386654484560424940408240500182500,000$
9Darren Raddysh (R)X100.006527946762716751476938674251474240640233600,000$
10Zac Jones (R)X100.004534777954535974417758684143436840630192500,000$
11Yegor Zaitsev (R)X100.005833644972715057256045564043455040570212500,000$
12Tim Berni (R)X100.005930584253515758195851363341415440500191500,000$
TEAM AVERAGE100.00633575656867676556676260585047494064
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 SPAgeContractSalary
1Vitek Vanecek100.00617269636371785762746448494340660233800,000$
2Joel Hofer100.00695666767055476164587442426340600191500,000$
Scratches
1Collin Delia100.00735765726960525863566843434940610252700,000$
TEAM AVERAGE100.0068626770676259596363694445524062
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig MacTavish78756975766752CAN572800,000$


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Barclay GoodrowWranglers (Cal)RW261993-01-01No215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$0$0$No------------------
Brandon HickeyWranglers (Cal)D231996-01-01Yes201 Lbs6 ft2NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------NoNo-------
Christian JarosWranglers (Cal)D231996-01-01Yes222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$700,000$0$0$No------------------
Cole SchwindtWranglers (Cal)RW182001-01-01Yes183 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Collin DeliaWranglers (Cal)G251994-01-01No207 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$700,000$0$0$No700,000$--------No--------
Darren RaddyshWranglers (Cal)D231996-01-01Yes200 Lbs6 ft1NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$-------NoNo-------
Demetrios KoumontzisWranglers (Cal)LW192000-01-01Yes190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Dominik MasinWranglers (Cal)D231996-01-01Yes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$700,000$0$0$No------------------
Eric KarlssonWranglers (Cal)LW251994-01-01Yes161 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$850,000$0$0$No------------------
Erik BrannstromWranglers (Cal)D201999-01-01Yes185 Lbs5 ft10NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------
Filip HallanderWranglers (Cal)C192000-01-01Yes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Frank CorradoWranglers (Cal)D261993-01-01No195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$0$0$No------------------
Ivan ChekhovichWranglers (Cal)LW201999-01-01Yes187 Lbs5 ft10NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$-------NoNo-------
Jesper BrattWranglers (Cal)LW211998-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$900,000$0$0$No950,000$--------No--------
Joel HoferWranglers (Cal)G192000-01-01No179 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Kaapo KakkoWranglers (Cal)RW182001-01-01Yes205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Lucas FeukWranglers (Cal)LW182001-01-01Yes190 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Nico SturmWranglers (Cal)C241995-01-01Yes207 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm900,000$900,000$0$0$No950,000$--------No--------
Peter CehlarikWranglers (Cal)LW241995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$900,000$0$0$No------------------
Petteri LindbohmWranglers (Cal)D261993-01-01No209 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm800,000$800,000$0$0$No850,000$--------No--------
Radim ZohornaWranglers (Cal)LW231996-01-01Yes229 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm650,000$650,000$0$0$No700,000$--------No--------
Ryan DonatoWranglers (Cal)C231996-01-01Yes193 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm850,000$850,000$0$0$No900,000$--------No--------
Ryan SpoonerWranglers (Cal)C271992-01-01No181 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$900,000$0$0$No------------------
Skyler Brind'AmourWranglers (Cal)C201999-01-01Yes185 Lbs6 ft2NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$-------NoNo-------
Tage ThompsonWranglers (Cal)RW221997-01-01Yes218 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm800,000$800,000$0$0$No900,000$--------No--------
Taylor RaddyshWranglers (Cal)RW211998-01-01Yes198 Lbs6 ft3NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Tim BerniWranglers (Cal)D192000-01-01Yes181 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Trevor CarrickWranglers (Cal)D251994-01-01Yes171 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$750,000$0$0$No825,000$--------No--------
Vitali KravtsovWranglers (Cal)LW201999-01-01Yes186 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Vitek VanecekWranglers (Cal)G231996-01-01No190 Lbs5 ft11NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------NoNo-------
Vladislav KamenevWranglers (Cal)C231996-01-01Yes194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$800,000$0$0$No825,000$--------No--------
Yegor ZaitsevWranglers (Cal)D211998-01-01Yes187 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Zac JonesWranglers (Cal)D192000-01-01Yes176 Lbs5 ft10NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3322.00193 Lbs6 ft11.82698,485$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Peter CehlarikNico SturmBarclay Goodrow40122
2Jesper BrattRyan SpoonerErik Brannstrom30122
3Eric KarlssonRyan DonatoTaylor Raddysh20122
4Vitali KravtsovVladislav KamenevTage Thompson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon HickeyFrank Corrado40122
2Petteri LindbohmDominik Masin30122
3Trevor CarrickChristian Jaros20122
4Petteri LindbohmDominik Masin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Peter CehlarikNico SturmTaylor Raddysh60122
2Jesper BrattRyan DonatoErik Brannstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon HickeyFrank Corrado60122
2Petteri LindbohmChristian Jaros40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan SpoonerBarclay Goodrow60122
2Nico SturmEric Karlsson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon HickeyFrank Corrado60122
2Petteri LindbohmDominik Masin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Spooner60122Brandon HickeyFrank Corrado60122
2Nico Sturm40122Petteri LindbohmDominik Masin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nico SturmPeter Cehlarik60122
2Ryan SpoonerEric Karlsson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon HickeyFrank Corrado60122
2Petteri LindbohmDominik Masin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Peter CehlarikNico SturmBarclay GoodrowBrandon HickeyFrank Corrado
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Peter CehlarikNico SturmBarclay GoodrowBrandon HickeyFrank Corrado
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Spooner, Peter Cehlarik, Nico SturmJesper Bratt, Barclay GoodrowRyan Spooner
Extra Defensemen
Normal PowerPlayPenalty Kill
Dominik Masin, Christian Jaros, Petteri LindbohmErik BrannstromPetteri Lindbohm, Dominik Masin
Penalty Shots
Ryan Donato, Peter Cehlarik, Jesper Bratt, Nico Sturm, Vitali Kravtsov
Goalie
#1 : Vitek Vanecek, #2 : Joel Hofer, #3 : 0
Custom OT Lines Forwards
Barclay Goodrow, Peter Cehlarik, Vitali Kravtsov, Nico Sturm, Jesper Bratt, Ryan Spooner, Ryan Spooner, Eric Karlsson, Ryan Donato, Tage Thompson, Vladislav Kamenev
Custom OT Lines Defensemen
Frank Corrado, Dominik Masin, Christian Jaros, Erik Brannstrom, Petteri Lindbohm


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%000%0000%000%000%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%000%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%000%000%
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
Capacity20001000
Ticket Price7040
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,404,500$ 2,274,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




Wranglers Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Wranglers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Wranglers Career Team Stats

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

Wranglers Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Wranglers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA