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Marlies
GP: 73 | W: 39 | L: 27 | OTL: 7 | P: 85
GF: 251 | GA: 239 | PP%: 16.94% | PK%: 82.88%
GM : Joël Durocher | Morale : 90 | Team Overall : 55
Next Games #1128 vs Rockets

Game Center
Outlaws
42-25-6, 90pts
3
5 Marlies
39-27-7, 85pts
Team Stats
L3StreakW4
24-8-4Home Record21-11-4
18-17-2Home Record18-16-3
4-4-2Last 10 Games7-1-2
3.23Goals Per Game3.44
2.99Goals Against Per Game3.27
12.24%Power Play Percentage16.94%
85.82%Penalty Kill Percentage82.88%
Rockets
43-24-5, 91pts
0
3 Marlies
39-27-7, 85pts
Team Stats
L1StreakW4
26-9-1Home Record21-11-4
17-15-4Home Record18-16-3
6-2-2Last 10 Games7-1-2
3.71Goals Per Game3.44
3.13Goals Against Per Game3.27
16.34%Power Play Percentage16.94%
84.62%Penalty Kill Percentage82.88%
Marlies
39-27-7, 85pts
Day 91
Rockets
43-24-5, 91pts
Team Stats
W4StreakL1
21-11-4Home Record26-9-1
18-16-3Away Record17-15-4
7-1-2Last 10 Games6-2-2
3.44Goals Per Game3.71
3.27Goals Against Per Game3.71
16.94%Power Play Percentage16.34%
82.88%Penalty Kill Percentage84.62%
Vipers
38-26-4, 80pts
Day 92
Marlies
39-27-7, 85pts
Team Stats
L2StreakW4
22-12-2Home Record21-11-4
16-14-2Away Record18-16-3
3-5-2Last 10 Games7-1-2
3.56Goals Per Game3.44
3.09Goals Against Per Game3.44
16.48%Power Play Percentage16.94%
85.01%Penalty Kill Percentage82.88%
Farmers
35-34-4, 74pts
Day 95
Marlies
39-27-7, 85pts
Team Stats
L1StreakW4
17-17-2Home Record21-11-4
18-17-2Away Record18-16-3
5-3-2Last 10 Games7-1-2
3.27Goals Per Game3.44
3.48Goals Against Per Game3.44
18.87%Power Play Percentage16.94%
84.57%Penalty Kill Percentage82.88%
Team Leaders
Marc StaalGoals
Marc Staal
14
Marc StaalAssists
Marc Staal
17
Marc StaalPoints
Marc Staal
31
Marc StaalPlus/Minus
Marc Staal
2

Team Stats
Goals For
251
3.44 GFG
Shots For
2681
36.73 Avg
Power Play Percentage
16.9%
61 GF
Offensive Zone Start
42.4%
Goals Against
239
3.27 GAA
Shots Against
2333
31.96 Avg
Penalty Kill Percentage
82.9%%
63 GA
Defensive Zone Start
39.6%
Team Info

General ManagerJoël Durocher
CoachManny Malhotra
DivisionDivision Ouest
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,670
Season Tickets300


Roster Info

Pro Team24
Farm Team22
Contract Limit46 / 50
Prospects74


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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
1Valtteri Puustinen (R)X100.00574590805150405130445865658572090560261900,000$
2Blake WheelerX100.005045837986504045304050555097870905503913,500,000$
3Lucas CondottaX100.00574595737550404730405461508774090550275800,000$
4Andreas AthanasiouX100.0052459577635040473040546550907709055X03112,250,000$
5Jesse YlonenX100.00504589776750404530405055508471090530254900,000$
6Alexander NylanderX100.00504590756950404530405055508774090530274900,000$
7Oskar LindblomX100.005045957763504045304050555087760905302912,800,000$
8Fredrik Karlstrom (R)X100.00504595766050404530405055508572090520273775,000$
9Chase Bradley (R)X100.00504595785250404530405055508370090520235900,000$
10Arnaud Durandeau (R)X100.005045957860504045304050555084740905202612,000,000$
11Hunter McKown (R)X100.00504595766050404530405055508069090520235900,000$
12Jacob Moverare (R)X100.00604589777050595230525364668674090620273775,000$
13Matthew Kessel (R)X100.00634586766655404930485059508472090590254800,000$
14Marc StaalX100.005045847672504045304050555097850905803811,200,000$
15Caleb JonesX100.005745927758524045304050565087750905702811,500,000$
16Mattias Norlinder (R)X100.00504595786050404530405055508370090560252900,000$
17Filip Roos (R)X100.00504595776350404530405055508574090560265800,000$
Scratches
1German Rubtsov (R)X100.00504595795950404530405055508572090520272775,000$
2Tyler BensonX100.00504595776050404530405055508572090520271850,000$
3Justin Richards (R)X100.00504595775950404530405055508573090520272775,000$
4Brandon Gignac (R)X100.00504595804850404530405055508675090520272775,000$
TEAM AVERAGE100.0052459277635041463041515751867409054
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")
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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 Blomqvist (R)100.0070507188707070707070708373090620234975,000$
2Michael Dipietro (R)100.0070404086656565656565658269090570265900,000$
Scratches
1Hugo Alnefelt (R)100.0070404081656565656565658067090570243850,000$
TEAM AVERAGE100.007043508567676767676767827009059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Manny Malhotra65656565778286CAN4622,500,000$


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
1Marc StaalMarlies (TOR)D73141731274010161102406713.73%99145219.905493914401101264139.39%3300000.4322000777
2Lucas CondottaMarlies (TOR)LW366814-2235397151143911.76%561217.01101130000221041.06%41400000.4603001535
3Jacob MoverareMarlies (TOR)D2611112-78029275014352.00%2255221.2704424870000760029.55%4400000.4302000444
4Matthew KesselMarlies (TOR)D6011112-26375103342113194.76%5098416.41022435000032000%000000.2400001010
5Andreas AthanasiouMarlies (TOR)RW21369-88020483913227.69%435616.98033727000060048.78%28700000.5011000302
6Jesse YlonenMarlies (TOR)RW32268-71803628296256.90%1853116.6000000000010031.82%2200000.3001000154
Team Total or Average248275986-48168103282692921002079.25%198449018.11613197529801102655142.88%80000000.3839002202022
Filter Tips
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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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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
Alexander NylanderMarlies (TOR)LW271998-03-02SWENo192 Lbs6 ft1NoNoTrade2025-03-30NoNo42026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------
Andreas AthanasiouMarlies (TOR)RW311994-08-06CANNo190 Lbs6 ft2NoYesAssign ManuallyNoNo12026-03-08FalseFalsePro & Farm2,250,000$375,000$0$0$No---------------------------NHL Link
Arnaud DurandeauMarlies (TOR)LW261999-01-14CANYes185 Lbs6 ft0NoNoN/ANoNo12026-03-08FalseFalsePro & Farm2,000,000$333,333$0$0$No---------------------------
Blake WheelerMarlies (TOR)RW391986-08-31USANo222 Lbs6 ft5NoNoAssign Manually2025-01-19NoNo12026-03-08FalseFalsePro & Farm3,500,000$583,333$0$0$No---------------------------NHL Link
Brandon GignacMarlies (TOR)C271997-11-07CANYes170 Lbs5 ft11NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No775,000$--------750,000$--------No--------NHL Link
Caleb JonesMarlies (TOR)D281997-06-06USANo194 Lbs6 ft1NoNoN/ANoNo12026-03-08FalseFalsePro & Farm1,500,000$250,000$0$0$No---------------------------NHL Link
Chase BradleyMarlies (TOR)LW232002-01-09USAYes180 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----NHL Link
Filip RoosMarlies (TOR)D261999-01-05SWEYes190 Lbs6 ft4NoNoTrade2025-11-14NoNo52026-03-08FalseFalsePro & Farm800,000$133,333$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----NHL Link
Fredrik KarlstromMarlies (TOR)C271998-01-12SWEYes200 Lbs6 ft3NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
German RubtsovMarlies (TOR)C271998-06-27RUSYes178 Lbs6 ft2NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No775,000$--------750,000$--------No--------
Hugo AlnefeltMarlies (TOR)G242001-06-04SWEYes177 Lbs6 ft2NoNoN/ANoNo32026-03-08FalseFalsePro & Farm850,000$141,667$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Hunter McKownMarlies (TOR)C232002-08-18USAYes205 Lbs6 ft1NoNoTrade2025-03-20NoNo52026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----NHL Link
Jacob MoverareMarlies (TOR)D271998-08-31SWEYes210 Lbs6 ft3NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
Jesse YlonenMarlies (TOR)RW251999-10-03FINNo200 Lbs6 ft1NoNoTrade2025-03-20NoNo42026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------NHL Link
Joel BlomqvistMarlies (TOR)G232002-01-10FINYes200 Lbs6 ft3NoNoTrade2025-09-18NoNo42026-03-08FalseFalsePro & Farm975,000$162,500$0$0$No975,000$975,000$975,000$------975,000$975,000$975,000$------NoNoNo------NHL Link
Justin RichardsMarlies (TOR)C271998-03-17USAYes190 Lbs5 ft11NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$129,167$0$0$No775,000$--------750,000$--------No--------
Lucas CondottaMarlies (TOR)LW271997-11-06CANNo217 Lbs6 ft1NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$133,333$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----NHL Link
Marc StaalMarlies (TOR)D381987-01-13CANNo208 Lbs6 ft4NoNoTrade2025-06-08NoNo12026-03-08FalseFalsePro & Farm1,200,000$200,000$0$0$No---------------------------NHL Link
Matthew KesselMarlies (TOR)D252000-06-23USAYes205 Lbs6 ft2NoNoTrade2026-07-06NoNo42026-03-08FalseFalsePro & Farm800,000$133,333$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------NHL Link
Mattias NorlinderMarlies (TOR)D252000-04-12SWEYes185 Lbs6 ft0NoNoAssign ManuallyNoNo22026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$--------900,000$--------No--------
Michael DipietroMarlies (TOR)G261999-06-09CANYes200 Lbs6 ft0NoNoTrade2025-03-20NoNo52026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----NHL Link
Oskar LindblomMarlies (TOR)RW291996-08-15SWENo191 Lbs6 ft1NoNoN/ANoNo12026-03-08FalseFalsePro & Farm2,800,000$466,667$0$0$No---------------------------
Tyler BensonMarlies (TOR)RW271998-03-15CANNo190 Lbs6 ft0NoNoN/ANoNo12026-03-08FalseFalsePro & Farm850,000$141,667$0$0$No---------------------------
Valtteri PuustinenMarlies (TOR)RW261999-06-04FINYes183 Lbs5 ft9NoNoTrade2025-03-20NoNo12026-03-08FalseFalsePro & Farm900,000$150,000$0$0$No---------------------------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2427.21194 Lbs6 ft12.751,187,500$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
130014
230113
325113
415113
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135131
2Marc Staal35131
330140
40050
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155005
245005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
155041
2Marc Staal45041
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155041
245041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
155140
2Marc Staal45140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15505055050
245050Marc Staal45050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155023
245023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
155032
2Marc Staal45032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
OverallHome Visitor
# 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 RI
1Bandits21100000770110000005321010000024-220.5007142100898371107086287890056761729331300.00%10190.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
2Barracudas32000100171161100000074321000100107350.83317335000898371101028628789005699354310015426.67%17288.24%11360268150.73%1245250049.80%577113750.75%180513091773498835413
3Bayou22000000862110000004311100000043141.00081624008983711075862878900566816263910440.00%80100.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
4Chiwawa4200101015873100101011651100000042281.00015264100898371101478628789005611924647518422.22%15380.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
5CoolFm31000200121022000020079-21100000051440.6671224360089837110123862878900569923309614535.71%13284.62%01360268150.73%1245250049.80%577113750.75%180513091773498835413
6Farmers11000000312000000000001100000031221.000358008983711042862878900561948248112.50%4175.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
7Goons320010001037110000004132100100062461.0001019290189837110102862878900566014726814321.43%130100.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
8Grizzlies21100000880110000006331010000025-320.5008162400898371108986287890056802427498225.00%11281.82%01360268150.73%1245250049.80%577113750.75%180513091773498835413
9Hunters211000001055110000008171010000024-220.500101929008983711074862878900566015325311327.27%14471.43%01360268150.73%1245250049.80%577113750.75%180513091773498835413
10Husky22000000743110000005321100000021141.000714210089837110908628789005633924475120.00%11190.91%01360268150.73%1245250049.80%577113750.75%180513091773498835413
11Igloos2110000079-2110000005411010000025-320.50071421008983711077862878900566020216614214.29%7357.14%01360268150.73%1245250049.80%577113750.75%180513091773498835413
12Marmots1010000047-31010000047-30000000000000.00048120089837110478628789005638514324125.00%6350.00%11360268150.73%1245250049.80%577113750.75%180513091773498835413
13Outlaws52201000181802200000094530201000914-560.600183149008983711016386287890056188617814233618.18%38684.21%01360268150.73%1245250049.80%577113750.75%180513091773498835413
14Predateurs211000006511010000034-11100000031220.5006121800898371107586287890056572016397228.57%8187.50%01360268150.73%1245250049.80%577113750.75%180513091773498835413
15Raptors3210000012932110000068-21100000061540.66712223400898371101148628789005611142406119315.79%20480.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
16Rockets11000000303110000003030000000000021.0003690189837110238628789005636121025600.00%50100.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
17Sags330000001266110000003212200000094561.0001223350089837110116862878900565719496711327.27%16193.75%01360268150.73%1245250049.80%577113750.75%180513091773498835413
18Scorpions30200100410-61010000002-22010010048-410.16748120089837110101862878900568324248310110.00%12375.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
19Smirnoff Ice2010001056-11010000013-21000001043120.50058130089837110888628789005660161841600.00%9188.89%01360268150.73%1245250049.80%577113750.75%180513091773498835413
20Snowbirds302010001113-2100010005412020000069-320.33311203100898371101198628789005611930458014321.43%18477.78%01360268150.73%1245250049.80%577113750.75%180513091773498835413
21Spartans1010000026-4000000000001010000026-400.0002460089837110308628789005642121224200.00%60100.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
22Supreme31200000910-1211000006511010000035-220.333918270089837110114862878900561183736888112.50%17288.24%01360268150.73%1245250049.80%577113750.75%180513091773498835413
23Thugs302000011119-81000000156-120200000613-710.1671120311089837110114862878900561173120722200.00%50100.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
24TigersCats2010100058-31010000015-41000100043120.5005101500898371106186287890056782520491218.33%10370.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
25Twins311010008711010000034-12100100053240.66781321008983711010786287890056811530591417.14%14285.71%01360268150.73%1245250049.80%577113750.75%180513091773498835413
26Vandals31100001880210000016511010000023-130.500816240089837110104862878900567218436210110.00%12283.33%01360268150.73%1245250049.80%577113750.75%180513091773498835413
27Vipers20200000711-41010000058-31010000023-100.00071219008983711074862878900565715413417317.65%10370.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
28Warriors2110000045-1110000002111010000024-220.50047111089837110728628789005656814326116.67%7271.43%01360268150.73%1245250049.80%577113750.75%180513091773498835413
29Wolves30200100814-62020000049-51000010045-110.167816240089837110868628789005611326406415213.33%20670.00%01360268150.73%1245250049.80%577113750.75%180513091773498835413
30Xpress220000001055110000006331100000042241.000101929008983711082862878900567721245814321.43%12191.67%01360268150.73%1245250049.80%577113750.75%180513091773498835413
Total7331270652225123912361811022121341171737131604310117122-5850.5822514737242289837110268186287890056233363895017623606116.94%3686382.88%21360268150.73%1245250049.80%577113750.75%180513091773498835413
_Since Last GM Reset7331270652225123912361811022121341171737131604310117122-5850.5822514737242289837110268186287890056233363895017623606116.94%3686382.88%21360268150.73%1245250049.80%577113750.75%180513091773498835413
_Vs Conference271480221095781714930020057431413550201038353360.6679518327812898371101040862878900568322133436731352317.04%1322481.82%11360268150.73%1245250049.80%577113750.75%180513091773498835413
_Vs Division1145010103235-3633000001719-2512010101516-1120.5453260921189837110422862878900563679411125250612.00%521276.92%11360268150.73%1245250049.80%577113750.75%180513091773498835413

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7385W425147372426812333638950176222
All Games
GPWLOTWOTL SOWSOLGFGA
7331276522251239
Home Games
GPWLOTWOTL SOWSOLGFGA
3618112212134117
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3713164310117122
Last 10 Games
WLOTWOTL SOWSOL
611200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3606116.94%3686382.88%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8628789005689837110
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1360268150.73%1245250049.80%577113750.75%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
180513091773498835413


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
111Chiwawa2Marlies3WXXBox score
334Marlies5Outlaws7LBox score
444CoolFm5Marlies4LXBox score
561Predateurs4Marlies3LBox score
667Marlies3Snowbirds4LBox score
789Marlies3Predateurs1WBox score
999Marlies3Goons2WXBox score
10113Wolves5Marlies2LBox score
12133Vandals2Marlies4WBox score
13148Marlies1Outlaws5LBox score
14163Marlies5Sags3WBox score
15177Chiwawa1Marlies4WBox score
17192Marlies4Bayou3WBox score
18207Marlies3Scorpions6LBox score
19220Raptors7Marlies3LBox score
20238Supreme2Marlies4WBox score
22255Marlies2Vipers3LBox score
23268Warriors1Marlies2WBox score
24286Marlies5Thugs7LBox score
25293Marlies3Goons0WBox score
26310Thugs6Marlies5LXXBox score
27330Smirnoff Ice3Marlies1LBox score
28347TigersCats5Marlies1LBox score
30364Marlies2Igloos5LBox score
31371Marlies4TigersCats3WXBox score
32393Wolves4Marlies2LBox score
34411Marlies2Bandits4LBox score
35421Vandals3Marlies2LXXBox score
36443Hunters1Marlies8WBox score
37457Marlies2Vandals3LBox score
39469Marlies2Spartans6LBox score
40484Marlies1Scorpions2LXBox score
41490Igloos4Marlies5WBox score
42508Marlies2Husky1WBox score
43524Outlaws1Marlies4WBox score
44545Grizzlies3Marlies6WBox score
45557Marlies2Grizzlies5LBox score
46576Vipers8Marlies5LBox score
47588Marlies4Chiwawa2WBox score
48599Marlies3Outlaws2WXBox score
49611Marlies2Twins1WBox score
50625Twins4Marlies3LBox score
52646Goons1Marlies4WBox score
53661Marlies3Supreme5LBox score
54675Sags2Marlies3WBox score
55696Marlies3Snowbirds5LBox score
56705Marmots7Marlies4LBox score
57720Marlies6Raptors1WBox score
58736Scorpions2Marlies0LBox score
59746Marlies5CoolFm1WBox score
60764Husky3Marlies5WBox score
61778Marlies4Sags1WBox score
62791Marlies1Thugs6LBox score
64803Marlies3Twins2WXBox score
65815Supreme3Marlies2LBox score
66836Xpress3Marlies6WBox score
68854Marlies4Smirnoff Ice3WXXBox score
69864Marlies2Warriors4LBox score
70876Bayou3Marlies4WBox score
71896Bandits3Marlies5WBox score
73918Marlies4Wolves5LXBox score
74925Marlies3Farmers1WBox score
75935Snowbirds4Marlies5WXBox score
76951Marlies2Hunters4LBox score
77960Barracudas4Marlies7WBox score
79990Chiwawa3Marlies4WXBox score
801002Marlies5Barracudas6LXBox score
811013Marlies4Xpress2WBox score
821023CoolFm4Marlies3LXBox score
841052Raptors1Marlies3WBox score
861066Marlies5Barracudas1WBox score
871082Outlaws3Marlies5WBox score
901108Rockets0Marlies3WBox score
911128Marlies-Rockets-
921139Vipers-Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
951166Farmers-Marlies-
971186Spartans-Marlies-
981193Marlies-Predateurs-
1011219Farmers-Marlies-
1021230Marlies-Bayou-
1061247Spartans-Marlies-
1071263Marlies-Marmots-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4525
Attendance71,41124,704
Attendance PCT99.18%68.62%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
5 2670 - 89.00% 127,703$4,597,314$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
4,298,149$ 2,850,000$ 2,850,000$ 2,500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 2,214,781$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
638,516$ 18 49,537$ 891,666$




Marlies 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

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 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

Marlies Goalies Stat Leaders (Play-Off)

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