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Marlies
GP: 18 | W: 14 | L: 4 | OTL: 0 | P: 28
GF: 101 | GA: 36 | PP%: 18.92% | PK%: 89.72%
GM : Garrett | Morale : 50 | Team Overall : 60
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Game Center
Marlies
14-4-0, 28pts
7
FINAL
2 Checkers
2-15-1, 5pts
Team Stats
W2StreakL2
7-2-0Home Record2-7-0
7-2-0Away Record0-8-1
7-3-0Last 10 Games2-8-0
5.61Goals Per Game2.61
2.00Goals Against Per Game6.22
18.92%Power Play Percentage12.28%
89.72%Penalty Kill Percentage81.82%
Phantoms
5-9-4, 14pts
1
FINAL
7 Marlies
14-4-0, 28pts
Team Stats
L2StreakW2
3-5-1Home Record7-2-0
2-4-3Away Record7-2-0
4-4-2Last 10 Games7-3-0
4.17Goals Per Game5.61
5.56Goals Against Per Game2.00
29.03%Power Play Percentage18.92%
72.73%Penalty Kill Percentage89.72%
Team Leaders
Sheldon DriesGoals
Sheldon Dries
16
Assists
Jack McBain
21
Points
Jack McBain
33
Jeremy DaviesPlus/Minus
Jeremy Davies
32
Wins
Joel Hofer
14
Save Percentage
Joel Hofer
0.896

Team Stats
Goals For
101
5.61 GFG
Shots For
546
30.33 Avg
Power Play Percentage
18.9%
14 GF
Offensive Zone Start
43.3%
Goals Against
36
2.00 GAA
Shots Against
277
15.39 Avg
Penalty Kill Percentage
89.7%%
11 GA
Defensive Zone Start
33.1%
Team Info

General ManagerGarrett
CoachGreg Moore
DivisionNorth
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team25
Farm Team19
Contract Limit44 / 50
Prospects48


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# 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
1Jack McBain (R)XX100.0099807877836764587663688225555572506702321,350,000$
2Sheldon DriesXX100.007874867465598267786070672558586950650292775,000$
3Kyle CliffordX100.007478657778596061505456725377816150630321750,000$
4Chris WagnerXXX100.007071697771747960754862675967706350630322950,000$
5Jack StudnickaX100.007843898065576959555858732555556550620241863,333$
6Liam O'BrienX100.009999446782596558336257742558586450620292775,000$
7Simon Holmstrom (R)X100.005941996370598458255662672548486350600221863,333$
8Martin Chromiak (R)X100.007568926568717460505363646044446450600213820,000$
9Ryan DzingelXX100.007470827870505055695348674666665750590312950,000$
10Zayde Wisdom (R)X100.007569886769596249614746614444445550550213896,667$
11Adam Raska (R)XX100.005763436763677249504646524444445150530223900,000$
12Cal FooteX100.008045847984627459255048692555556150650241850,000$
13Jacob Bernard-Docker (R)X100.0077778375726979572544477225464660506402321,208,333$
14Sean Day (R)X100.008688816688768447254039663744445450620253750,000$
15Alex VlasicX100.0081798675795658512546406538454554506002221,491,667$
16Joseph Cecconi (R)X100.007876846376697547253741623944445350590262750,000$
17Jeremy DaviesX100.006566626866737953253951574846465650580261750,000$
Scratches
1Spencer Smallman (R)X100.007773866373758056504958645544446150590272750,000$
2Keaton Middleton (R)X100.007787556187717750254640623844445350600252750,000$
3Brinson Pasichnuk (R)X100.007974916874596348254040633844445350580252750,000$
4John Ludvig (R)X100.007174646574505150254441593944445150550233775,000$
5Layton Ahac (R)X100.007672866172525545253440603844445150550223925,000$
TEAM AVERAGE100.00777177707463705442495166395151595060
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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.
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")
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Joel Hofer (R)100.00605468666466566465633044446150600233775,000$
2Jiri Patera (R)100.00544759805855515855543044445450560243775,000$
Scratches
1Olivier Rodrigue (R)100.00554354596056535957563044445550540233775,000$
TEAM AVERAGE100.0056486068615953605958304444575057
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Moore62607173575488USA372500,000$


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
# 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
1Jack McBainMarlies (TOR)C/LW1612213325320633568175917.65%533520.952468451015711074.49%39200001.9700000132
2Jack StudnickaMarlies (TOR)C181419332580142751144527.45%432618.170221150111490063.77%26500022.0200000332
3Sheldon DriesMarlies (TOR)C/LW181614302320132070244922.86%436920.553148510001823263.89%3600011.6200000412
4Kyle CliffordMarlies (TOR)LW1810182822215242549123320.41%126714.8400003000081171.43%1400002.1000100410
5Chris WagnerMarlies (TOR)C/LW/RW18111627184041772164615.28%236220.1433613580002690085.00%2000001.4900000211
6Martin ChromiakMarlies (TOR)RW1881220174001150163316.00%227515.28044358000013083.33%1200001.4500000011
7Liam O'BrienMarlies (TOR)C18416201445583314817408.33%736220.142356520000440054.24%35400001.1000001001
8Ryan DzingelMarlies (TOR)LW/RW18316191960141425102512.00%226114.5401105000022072.73%1100001.4500000004
9Simon HolmstromMarlies (TOR)RW189716212001733144027.27%533218.48022351000011150.00%1800000.9600000022
10Jacob Bernard-DockerMarlies (TOR)D161141522602012228114.55%936622.90011746000074000.00%000000.8200000010
11Alex VlasicMarlies (TOR)D1627913160192721028.57%1132020.04033144000058000.00%000000.5600000010
12Jeremy DaviesMarlies (TOR)D162573212024493522.22%626516.6000019000017100.00%000000.5300000000
13Sean DayMarlies (TOR)D180662148103464370.00%537320.73011145000064000.00%000000.3200100000
14Keaton MiddletonMarlies (TOR)D1623573810545123816.67%933520.97213949000071000.00%000000.3000101000
15Joseph CecconiMarlies (TOR)D1841524200363121333.33%1131017.27101213000040100.00%000000.3200000100
16Cal FooteMarlies (TOR)D23145205283137.50%04321.631015600006100.00%000001.8500000100
17Adam RaskaMarlies (TOR)LW/RW14022420113240.00%0664.740000000000000.00%200000.6000000000
18Zayde WisdomMarlies (TOR)C16000-220011010.00%0201.2500000000050066.67%300000.00%00000000
Team Total or Average2921011782793102703040823354416542018.57%83499517.1114264068555112966914464.95%112700031.1200302161415
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
1Joel HoferMarlies (TOR)1614200.8961.3896004222120000.00%0160000
Team Total or Average1614200.8961.3896004222120000160000


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 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 RaskaMarlies (TOR)LW/RW222001-09-25Yes178 Lbs5 ft10NoNoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$Link
Alex VlasicMarlies (TOR)D222001-06-05No200 Lbs6 ft6NoNoNo2Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$Link
Brinson PasichnukMarlies (TOR)D251997-11-23Yes205 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link
Cal FooteMarlies (TOR)D241998-12-12No227 Lbs6 ft4NoNoNo1Pro & Farm850,000$850,000$0$0$NoLink
Chris WagnerMarlies (TOR)C/LW/RW321991-05-26No198 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Jack McBainMarlies (TOR)C/LW232000-06-06Yes218 Lbs6 ft4NoNoNo2Pro & Farm1,350,000$1,350,000$0$0$No1,350,000$Link
Jack StudnickaMarlies (TOR)C241999-02-18No171 Lbs6 ft1NoNoNo1Pro & Farm863,333$863,333$0$0$NoLink / NHL Link
Jacob Bernard-DockerMarlies (TOR)D232000-06-30Yes190 Lbs6 ft1NoNoNo2Pro & Farm1,208,333$1,208,333$0$0$No1,208,333$Link
Jeremy DaviesMarlies (TOR)D261996-12-04No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Jiri PateraMarlies (TOR)G241999-02-24Yes209 Lbs6 ft2NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Link
Joel HoferMarlies (TOR)G232000-07-30Yes161 Lbs6 ft3NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Link
John LudvigMarlies (TOR)D232000-02-08Yes201 Lbs6 ft1NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Link
Joseph CecconiMarlies (TOR)D261997-05-23Yes209 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Keaton MiddletonMarlies (TOR)D251998-02-10Yes234 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Kyle CliffordMarlies (TOR)LW321991-01-13No211 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Layton AhacMarlies (TOR)D222001-02-22Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Link
Liam O'BrienMarlies (TOR)C291994-07-29No215 Lbs6 ft1YesNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link / NHL Link
Martin ChromiakMarlies (TOR)RW212002-08-20Yes187 Lbs6 ft0NoNoNo3Pro & Farm820,000$820,000$0$0$No820,000$820,000$Link
Olivier RodrigueMarlies (TOR)G232000-07-06Yes156 Lbs6 ft1NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Link
Ryan DzingelMarlies (TOR)LW/RW311992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Sean DayMarlies (TOR)D251998-01-09Yes240 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Link / NHL Link
Sheldon DriesMarlies (TOR)C/LW291994-04-23No180 Lbs5 ft9YesNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link / NHL Link
Simon HolmstromMarlies (TOR)RW222001-05-24Yes193 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$0$0$NoLink / NHL Link
Spencer SmallmanMarlies (TOR)RW271996-09-09Yes201 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Zayde WisdomMarlies (TOR)C212002-05-20Yes195 Lbs5 ft10NoNoNo3Pro & Farm896,667$896,667$0$0$No896,667$896,667$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.96198 Lbs6 ft12.16878,733$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sheldon DriesJack McBainSimon Holmstrom40023
2Chris WagnerLiam O'BrienMartin Chromiak30032
3Kyle CliffordJack StudnickaRyan Dzingel20032
4Zayde WisdomLiam O'BrienSimon Holmstrom10032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicCal Foote40041
2Jacob Bernard-DockerJeremy Davies30041
3Joseph CecconiSean Day20041
4Alex VlasicCal Foote10041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sheldon DriesJack McBainSimon Holmstrom60005
2Chris WagnerLiam O'BrienMartin Chromiak40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicCal Foote60005
2Jacob Bernard-DockerJeremy Davies40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jack McBainSheldon Dries60050
2Liam O'BrienChris Wagner40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicCal Foote60050
2Jacob Bernard-DockerJeremy Davies40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jack McBain60050Alex VlasicCal Foote60050
2Chris Wagner40050Jacob Bernard-DockerJeremy Davies40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jack McBainSimon Holmstrom60023
2Liam O'BrienSheldon Dries40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicCal Foote60041
2Jacob Bernard-DockerJeremy Davies40041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sheldon DriesJack McBainSimon HolmstromCal FooteAlex Vlasic
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sheldon DriesJack McBainSimon HolmstromCal FooteAlex Vlasic
Extra Forwards
Normal PowerPlayPenalty Kill
Jack Studnicka, Jack McBain, Simon HolmstromJack Studnicka, Liam O'BrienJack Studnicka
Extra Defensemen
Normal PowerPlayPenalty Kill
Alex Vlasic, Cal Foote, Jacob Bernard-DockerCal FooteAlex Vlasic, Joseph Cecconi
Penalty Shots
Jack McBain, Sheldon Dries, Chris Wagner, Kyle Clifford, Jack Studnicka
Goalie
#1 : Joel Hofer, #2 : Jiri Patera
Custom OT Lines Forwards
Jack McBain, Sheldon Dries, Chris Wagner, Kyle Clifford, Jack Studnicka, Liam O'Brien, Liam O'Brien, Simon Holmstrom, Martin Chromiak, Ryan Dzingel, Zayde Wisdom
Custom OT Lines Defensemen
Cal Foote, Jacob Bernard-Docker, Alex Vlasic, Joseph Cecconi, Jeremy Davies


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
1Bears2200000017215110000009091100000082641.0001731480140342701041731861870210639100.00%30100.00%034051166.54%22439157.29%17927864.39%576437300101203117
2Bruins21100000954110000006151010000034-120.50091524004034270431731861870319343512216.67%16287.50%034051166.54%22439157.29%17927864.39%576437300101203117
3Checkers2200000012210110000005051100000072541.0001220320140342707217318618701352853400.00%140100.00%134051166.54%22439157.29%17927864.39%576437300101203117
4Crunch11000000532000000000001100000053221.000581300403427026173186187018114292150.00%70100.00%034051166.54%22439157.29%17927864.39%576437300101203117
5Penguins220000001138110000006151100000052341.0001117280040342706217318618703713337311218.18%14192.86%034051166.54%22439157.29%17927864.39%576437300101203117
6Phantoms2200000016313110000007161100000092741.000163147004034270701731861870308183412433.33%8275.00%034051166.54%22439157.29%17927864.39%576437300101203117
7Rocket1010000059-41010000059-40000000000000.0005914004034270191731861870361321216116.67%5340.00%034051166.54%22439157.29%17927864.39%576437300101203117
8Sound Tigers2200000016115110000008171100000080841.000162844014034270831731861870168224710330.00%110100.00%034051166.54%22439157.29%17927864.39%576437300101203117
9Thunderbirds211000003211010000012-11100000020220.5003690140342702917318618702974942900.00%10190.00%034051166.54%22439157.29%17927864.39%576437300101203117
10Wolf Pack21100000761110000003121010000045-120.50071320004034270381731861870462045377114.29%19289.47%034051166.54%22439157.29%17927864.39%576437300101203117
Total181440000010136659720000050163497200000512031280.778101178279044034270546173186187027784270410741418.92%1071189.72%134051166.54%22439157.29%17927864.39%576437300101203117
_Since Last GM Reset181440000010136659720000050163497200000512031280.778101178279044034270546173186187027784270410741418.92%1071189.72%134051166.54%22439157.29%17927864.39%576437300101203117
_Vs Conference181440000010136659720000050163497200000512031280.778101178279044034270546173186187027784270410741418.92%1071189.72%134051166.54%22439157.29%17927864.39%576437300101203117
_Vs Division6110000022193301000001212031000000107320.16722386001403427011717318618701143011812729413.79%38684.21%034051166.54%22439157.29%17927864.39%576437300101203117

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1828W21011782795462778427041004
All Games
GPWLOTWOTL SOWSOLGFGA
18144000010136
Home Games
GPWLOTWOTL SOWSOLGFGA
97200005016
Visitor Games
GPWLOTWOTL SOWSOLGFGA
97200005120
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
741418.92%1071189.72%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
17318618704034270
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
34051166.54%22439157.29%17927864.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
576437300101203117


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2023-09-2910Marlies8Bears2AWBoxScore
2 - 2023-09-3020Marlies8Sound Tigers0AWBoxScore
3 - 2023-10-0135Sound Tigers1Marlies8BWBoxScore
4 - 2023-10-0260Penguins1Marlies6BWBoxScore
6 - 2023-10-0476Bruins1Marlies6BWBoxScore
8 - 2023-10-0698Checkers0Marlies5BWBoxScore
9 - 2023-10-07109Marlies3Bruins4ALBoxScore
10 - 2023-10-08121Marlies2Thunderbirds0AWBoxScore
11 - 2023-10-09137Bears0Marlies9BWBoxScore
13 - 2023-10-11155Marlies9Phantoms2AWBoxScore
14 - 2023-10-12170Thunderbirds2Marlies1BLBoxScore
15 - 2023-10-13193Wolf Pack1Marlies3BWBoxScore
16 - 2023-10-14205Marlies5Penguins2AWBoxScore
17 - 2023-10-15215Marlies5Crunch3AWBoxScore
19 - 2023-10-17230Rocket9Marlies5BLBoxScore
20 - 2023-10-18251Marlies4Wolf Pack5ALBoxScore
22 - 2023-10-20264Marlies7Checkers2AWBoxScore
23 - 2023-10-21276Phantoms1Marlies7BWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price350
Attendance00
Attendance PCT0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,196,833$ 2,196,833$ 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

Marlies Goalies Stat Leaders (Regular Season)

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

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

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