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Igloos
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Pierre-Luc Vezina | Morale : 90 | Team Overall : 55
Next Games #2 vs Predateurs

Predateurs
0-0-0, 0pts
Day 1
 Igloos
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Igloos
0-0-0, 0pts
Day 2
 Vipers
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Xpress
0-0-0, 0pts
Day 4
 Igloos
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General ManagerPierre-Luc Vezina
CoachJohn Stevens
DivisionDivision Est
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team13
Farm Team20
Contract Limit33 / 50
Prospects18


Team History

This Season0-0-0 (0PTS)
History0-0-0
Playoff Appearances1
Playoff Record (W-L)6 - 6 (0.500%)
Stanley Cup0


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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.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
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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 SPAgeContractSalary
1Riley Duran (R)X100.005245927953644045304050625083730905402361,200,000$
2Bradly NadeauX100.00504595794857404730445055507967090520203775,000$
3Pierrick Dube (R)X100.00504592794550404530405055508370090510243775,000$
4Jordie BennX100.005045957765504045304050555095850905703825,000,000$
5Steven SantiniX100.005045957472504045304050555090780905703031,000,000$
6Libor HajekX100.00504595746050404530405055508573090560271750,000$
7Nikita TryamkinX100.00504595706050404530405055508976090550304775,000$
Scratches
1Glenn GawdinX100.005045927665504045304050555087740905302841,500,000$
2Marian StudenicX100.005045927762504045304050555085720905202641,500,000$
TEAM AVERAGE100.0050459476595240453040505650867409054
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
1Ken Appleby100.0070404091656565656565658875090580291775,000$
Scratches
1Jiri Patera100.0070404089656565656565658472090580261775,000$
2Veini Vehvilainen (R)100.00704040816565656565656583700905702831,000,000$
3Zach Sawchenko (R)100.0070404083656565656565658472090570274775,000$
TEAM AVERAGE100.007040408665656565656565857209058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Stevens65656565917558CAN5911,000,000$


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
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 Country 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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
Bradly NadeauIgloos (NUN)LW202005-05-05CANNo161 Lbs5 ft10NoNoN/ANoNo32025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
Glenn GawdinIgloos (NUN)RW281997-03-25CANNo195 Lbs6 ft1NoNoN/ANoNo42025-09-11FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------NHL Link
Jiri PateraIgloos (NUN)G261999-02-24CZENo209 Lbs6 ft2NoNoN/ANoNo12025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------NHL Link
Jordie BennIgloos (NUN)D381987-07-26CANNo201 Lbs6 ft2NoNoN/ANoNo22025-09-11FalseFalsePro & Farm5,000,000$5,000,000$0$0$No5,000,000$--------5,000,000$--------No--------
Ken ApplebyIgloos (NUN)G291995-10-12CANNo210 Lbs6 ft4NoNoN/ANoNo12025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Libor HajekIgloos (NUN)D271998-02-04CZENo209 Lbs6 ft2NoNoN/ANoNo12025-09-11FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Marian StudenicIgloos (NUN)RW261998-10-28SVKNo190 Lbs6 ft1NoNoN/ANoNo42025-09-11FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Nikita TryamkinIgloos (NUN)D301994-10-12RUSNo265 Lbs6 ft7NoNoN/ANoNo42025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Pierrick DubeIgloos (NUN)RW242001-01-07CANYes172 Lbs5 ft9NoNoN/ANoNo32025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
Riley DuranIgloos (NUN)C232002-01-25USAYes174 Lbs6 ft1NoNoProspectNoNo62025-09-15FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$1,200,000$----1,200,000$1,200,000$1,200,000$1,200,000$1,200,000$----NoNoNoNoNo----NHL Link
Steven SantiniIgloos (NUN)D301995-03-07USANo209 Lbs6 ft2NoNoN/ANoNo32025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------NHL Link
Veini VehvilainenIgloos (NUN)G281997-02-13FINYes181 Lbs6 ft0NoNoN/ANoNo32025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Zach SawchenkoIgloos (NUN)G271997-12-30CANYes185 Lbs6 ft1NoNoN/ANoNo42025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1327.38197 Lbs6 ft13.001,276,923$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly NadeauRiley Duran35122
230122
3Pierrick Dube25122
4Riley Duran10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniJordie Benn35122
2Libor HajekNikita Tryamkin30122
325122
4Steven SantiniJordie Benn10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bradly NadeauRiley Duran55122
245122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniJordie Benn55122
2Libor HajekNikita Tryamkin45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Riley Duran55122
2Bradly Nadeau45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniJordie Benn55122
2Libor HajekNikita Tryamkin45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Riley Duran55122Steven SantiniJordie Benn55122
245122Libor HajekNikita Tryamkin45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Riley Duran55122
2Bradly Nadeau45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniJordie Benn55122
2Libor HajekNikita Tryamkin45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Bradly NadeauRiley DuranSteven SantiniJordie Benn
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Bradly NadeauRiley DuranSteven SantiniJordie Benn
Extra Forwards
Normal PowerPlayPenalty Kill
Pierrick Dube, Bradly Nadeau, Pierrick Dube, Bradly Nadeau
Extra Defensemen
Normal PowerPlayPenalty Kill
Libor Hajek, Nikita Tryamkin, Steven SantiniLibor HajekNikita Tryamkin, Steven Santini
Penalty Shots
Riley Duran, , , Bradly Nadeau, Pierrick Dube
Goalie
#1 : , #2 : Ken Appleby


Filter Tips
PriorityTypeDescription
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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
12Predateurs-Igloos-
228Igloos-Vipers-
436Xpress-Igloos-
556Igloos-Scorpions-
676Predateurs-Igloos-
787Igloos-Warriors-
997Igloos-Vipers-
10110Barracudas-Igloos-
11129Igloos-Vandals-
12140Raptors-Igloos-
14159Igloos-Goons-
15173Twins-Igloos-
17195Igloos-Wolves-
18206Chiwawa-Igloos-
19228Igloos-Bandits-
20236Spartans-Igloos-
22260Igloos-TigersCats-
23267Igloos-Xpress-
24281Vandals-Igloos-
25298Vipers-Igloos-
26319Grizzlies-Igloos-
28335Igloos-Farmers-
29353Igloos-Supreme-
30364Marlies-Igloos-
31380Igloos-Warriors-
32395Farmers-Igloos-
34405Igloos-Husky-
35424Husky-Igloos-
36436Igloos-Vandals-
37452Xpress-Igloos-
39475Igloos-Rockets-
40483Igloos-Marmots-
41490Igloos-Marlies-
42505Bayou-Igloos-
43523Scorpions-Igloos-
44544Igloos-Twins-
45554Sags-Igloos-
46574Twins-Igloos-
48595Igloos-Predateurs-
49610Barracudas-Igloos-
50628Snowbirds-Igloos-
52655Wolves-Igloos-
53671Igloos-Grizzlies-
54678Igloos-Wolves-
55691Igloos-Bayou-
56700Raptors-Igloos-
57721CoolFm-Igloos-
58740Igloos-Chiwawa-
59754Chiwawa-Igloos-
60770Igloos-Supreme-
62787Smirnoff Ice-Igloos-
64807Igloos-Vipers-
65818Spartans-Igloos-
66840Outlaws-Igloos-
68858Igloos-CoolFm-
69866Igloos-Sags-
70880TigersCats-Igloos-
71899Igloos-Goons-
72907Igloos-Thugs-
74919Marmots-Igloos-
76942Bandits-Igloos-
77959Igloos-Sags-
78971Bayou-Igloos-
79986Igloos-Hunters-
801003Husky-Igloos-
811010Igloos-Scorpions-
831034Hunters-Igloos-
841057Predateurs-Igloos-
851061Igloos-Snowbirds-
871078Igloos-Smirnoff Ice-
881088Igloos-Snowbirds-
Trade Deadline --- Trades can’t be done after this day is simulated!
891100Igloos-Outlaws-
901111Warriors-Igloos-
911125Igloos-Raptors-
921142Igloos-Spartans-
931147Thugs-Igloos-
951172Thugs-Igloos-
981191Igloos-Barracudas-
991205Rockets-Igloos-
1021223Igloos-Outlaws-
1031240Supreme-Igloos-
1081265Goons-Igloos-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,660,000$ 1,660,000$ 1,000,000$0$
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$ 108 24,630$ 2,660,040$




Igloos 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

Igloos Goalies Stat Leaders (Regular Season)

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

Igloos 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
Regular Season
Total Regular Season0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000
Playoff
481266000005961-264200000372710624000002234-121259104163008202923495612216564131309815128828.57%391756.41%18820642.72%11924348.97%12125048.40%3132212298918290
Total Playoff1266000005961-264200000372710624000002234-121259104163008202923495612216564131309815128828.57%391756.41%18820642.72%11924348.97%12125048.40%3132212298918290

Igloos 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
1Bradly Nadeau1212820401286917.39%1024320.28112300023137.50%11.6400
2Lukas Vejdemo1241519507172714.81%1119716.47123200002048.28%01.9200
3Pierrick Dube12971620585416.67%821317.82112400031033.33%11.5000
4Mackie Samoskevich126410401123815.79%525020.90112900000016.67%10.8000
5Brandon Baddock12448-52272814.29%425120.94000010120040.91%00.6400

Igloos Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Allen York126500.8505.1265600563732021000
2Veini Vehvilainen30010.8754.486700540160000





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