Marlies
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Guillaume Jacob | Morale : 75 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerGuillaume Jacob
CoachBlaine Forsythe
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team28
Farm Team21
Contract Limit49 / 80
Prospects32


Team History

This Season0-0
History79-74-17 (0.465%)
Playoff Appearances0
Playoff Record (W-L)0-0
Stanley Cup0


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 SPAgeContractSalary
1Adam Cracknell0X100.00763991668595886473656364617779075670372925,000$
2Adam Ruzicka (R)0XXX100.00763992679083756578666864676365075660231925,000$
3Byron Froese0XX100.00703987607887776378616268647176075640311750,000$
4Kristian Vesalainen (R)0XX100.00733988658670836459626163666467075640232903,000$
5Jake Lucchini0X100.00573684606985915962615855606769075610271700,000$
6Devante Smith-Pelly0X100.00703892547961765551565758537072075600301750,000$
7Donald Busdeker (R)0X100.00573878586681865762605657616365075600231750,000$
8Mason Jobst0XX100.00563884616574675965585753616870075600281700,000$
9Mitchell McLain0X100.00653463567480895458525953576971075590291700,000$
10Cole Coskey (R)0X100.00633791577266635651555254576365075580231750,000$
11Jarid Lukosevicius0X100.00583780556981775455535652536769075580271700,000$
12Ara Nazarian0X100.00573693546663615355525654566568075570261750,000$
13Calen Addison (R)0X100.00633487706784826730686762566264075650222925,000$
14Brian Lashoff0X100.00774283578665885630555458467277075610321700,000$
15Logan Day0X100.00633986577973895630595458476867075600281700,000$
16Roland McKeown (R)0X100.00673874587670895430595355466668075600263750,000$
17Matt Murphy (R)0X100.00713987568063655430595157456769075590273950,000$
18Matthew Robertson (R)0X100.00784182528770935130545257456163075590213950,000$
Scratches
1Vasily Ponomarev (R)0X100.00593789656879616472635962666162075620203950,000$
2Alex Gallant0XX100.00778659557069785457525351557072075580301750,000$
3Alexis D'Aoust0X100.00643795547371625354515651546668075580261750,000$
4Andre Lee0X100.00714273549175645358555059536264075580221750,000$
5Jacob Doty0XX100.00747156528365685351545556526971075580291700,000$
6Blake Christensen0X100.00573472556471625351525456536769075570271750,000$
7Benjamin Tardif0X100.00593792536963615254505155536164075560221750,000$
TEAM AVERAGE100.0066418258767476575357575755666907560
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
1Adam Huska (R)100.0074727389737274737274736573075650253852,000$
2Alex Lyon100.0075757678737274737274737084075650301750,000$
Scratches
1Pyotr Kochetkov (R)100.0072737284717072717072716369075630233950,000$
TEAM AVERAGE100.007473748472717372717372667507564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Blaine Forsythe67707365706579CAN471500,000$


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
Adam CracknellMarlies (TOR)C377/15/1985No209 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Adam HuskaMarlies (TOR)G255/12/1997Yes214 Lbs6 ft4NoNoNo3Pro & Farm852,000$852,000$0$0$No852,000$852,000$Link / NHL Link
Adam RuzickaMarlies (TOR)C/LW/RW235/11/1999Yes220 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink / NHL Link
Alex GallantMarlies (TOR)C/LW3012/8/1992No177 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Alex LyonMarlies (TOR)G3012/9/1992No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Alexis D'AoustMarlies (TOR)RW264/3/1996No205 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Andre LeeMarlies (TOR)LW227/26/2000No206 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Ara NazarianMarlies (TOR)LW266/1/1996No185 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Benjamin TardifMarlies (TOR)LW221/24/2000No192 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Blake ChristensenMarlies (TOR)LW279/15/1995No174 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Brian LashoffMarlies (TOR)D327/16/1990No213 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Byron FroeseMarlies (TOR)C/RW313/12/1991No202 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Calen AddisonMarlies (TOR)D224/11/2000Yes173 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Cole CoskeyMarlies (TOR)RW236/1/1999Yes190 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Devante Smith-PellyMarlies (TOR)RW306/14/1992No223 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Donald BusdekerMarlies (TOR)RW239/25/1999Yes180 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Jacob DotyMarlies (TOR)C/RW296/19/1993No212 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Jake LucchiniMarlies (TOR)LW275/9/1995No183 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Jarid LukoseviciusMarlies (TOR)RW272/5/1995No185 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Kristian VesalainenMarlies (TOR)LW/RW236/1/1999Yes207 Lbs6 ft3NoNoNo2Pro & Farm903,000$903,000$0$0$No903,000$Link / NHL Link
Logan DayMarlies (TOR)D289/19/1994No209 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Mason JobstMarlies (TOR)C/LW282/17/1994No185 Lbs5 ft8NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Matt MurphyMarlies (TOR)D275/1/1995Yes197 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Matthew RobertsonMarlies (TOR)D219/1/2001Yes201 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Mitchell McLainMarlies (TOR)C2912/9/1993No196 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Pyotr KochetkovMarlies (TOR)G236/25/1999Yes205 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Roland McKeownMarlies (TOR)D261/20/1996Yes195 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Link / NHL Link
Vasily PonomarevMarlies (TOR)C203/13/2002Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2826.32197 Lbs6 ft11.54793,929$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam RuzickaAdam CracknellKristian Vesalainen40122
2Jake LucchiniByron FroeseDonald Busdeker30122
3Mitchell McLainMason JobstDevante Smith-Pelly20122
4Adam CracknellMitchell McLainCole Coskey10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff40122
2Logan DayRoland McKeown30122
3Matthew RobertsonMatt Murphy20122
4Calen AddisonBrian Lashoff10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam RuzickaAdam CracknellKristian Vesalainen60122
2Jake LucchiniByron FroeseDonald Busdeker40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff60122
2Logan DayRoland McKeown40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam CracknellAdam Ruzicka60122
2Kristian VesalainenByron Froese40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff60122
2Logan DayRoland McKeown40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Adam Cracknell60122Calen AddisonBrian Lashoff60122
2Adam Ruzicka40122Logan DayRoland McKeown40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adam CracknellAdam Ruzicka60122
2Kristian VesalainenByron Froese40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff60122
2Logan DayRoland McKeown40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Adam RuzickaAdam CracknellKristian VesalainenCalen AddisonBrian Lashoff
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Adam RuzickaAdam CracknellKristian VesalainenCalen AddisonBrian Lashoff
Extra Forwards
Normal PowerPlayPenalty Kill
Jarid Lukosevicius, Mason Jobst, Devante Smith-PellyJarid Lukosevicius, Mason JobstDevante Smith-Pelly
Extra Defensemen
Normal PowerPlayPenalty Kill
Matthew Robertson, Matt Murphy, Logan DayMatthew RobertsonMatt Murphy, Logan Day
Penalty Shots
Adam Cracknell, Adam Ruzicka, Kristian Vesalainen, Byron Froese, Jake Lucchini
Goalie
#1 : Alex Lyon, #2 : Adam Huska
Custom OT Lines Forwards
Adam Cracknell, Adam Ruzicka, Kristian Vesalainen, Byron Froese, Jake Lucchini, Mason Jobst, Mason Jobst, Donald Busdeker, Devante Smith-Pelly, Mitchell McLain, Cole Coskey
Custom OT Lines Defensemen
Calen Addison, Brian Lashoff, Logan Day, Roland McKeown, Matthew Robertson


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
Capacity20001000
Ticket Price4025
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,223,000$ 2,223,000$ 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$ 0 0$ 0$




Marlies 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
1Adam Ruzicka1245210015225471993415898.83%42263321.24720276702276557.54%21.1504
2Adam Cracknell1154810215016332444155209.23%52280124.36624308710187358.59%21.0715
3Kristian Vesalainen117577112820148522546812.18%40242720.754141881000411150.00%21.0506
4Calen Addison1433590125-123611325234910.03%234342323.941920391640110300.00%10.7301
5Byron Froese815263115213313117843911.85%40178422.041014247020268261.10%21.2934

Marlies Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Daniil Tarasov82383760.9023.6647260328829380230.72711
2Pyotr Kochetkov33171120.9043.231783209610050300.66712
3Alex Lyon1410300.9112.9178400384250100.0000
4Adam Huska164400.9163.3060120333920000.0000

Marlies 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
2382323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
202282333606223332347-1541171701123167179-1241161905100165168-38733259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
Total Regular Season1646574011536625651-2682353106334326326082304305202299325-26169625110217273322521017622626019492194206387611917361081378449911523.05%46811775.00%43380613255.12%3122597052.29%1532288053.19%395827803879116020741034

Marlies 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

Marlies Goalies Stat Leaders (Play-Off)

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