Marlies

GP: 48 | W: 7 | L: 41 | OTL: 0 | P: 14
GF: 100 | GA: 280 | PP%: 12.98% | PK%: 75.16%
GM : Sebastien Cloutier | Morale : 50 | Team Overall : 62
Next Games #782 vs Rocket

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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 SP
1Chase DeLeo0XX100.007336896666897465696463606669685150640
2Brett Seney0XX100.006837706561908466676364616568674250640
3Charles Hudon0XXX100.006937786568898566676064596769714750640
4Joseph Cramarossa0X100.007146626575767363656264606571735250630
5Sean Malone0X100.006540796274827763696163596268704150630
6Danny O'Regan0XX100.005735916466848362706558616069714650630
7Dylan Sikura0XXX100.005735936366898562636458616068704150630
8Clark Bishop0XX100.006840736077748058725955576167694950600
9Pierre-Cedric Labrie0X100.008067685389687452545352585277792050590
10Tyrell Goulbourne0X100.006441725373686652555354525569715350560
11Seth Helgeson0X100.008146645490638652305352584573783550620
12Mitch Reinke0X100.006036955969708158306552564767693750600
13Ashton Sautner0X100.006740775476708053305553544569713650590
14Keaton Thompson0X100.006238825671657253305554524668705350570
Scratches
1Anthony Bitetto0X100.007043685579698354305554564673752950610
TEAM AVERAGE100.00674177607376795953595758567071425061
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 SP
1Malcolm Subban100.00746567837372747372747371846550720
2Troy Grosenick100.00715859747069717069717074882350690
Scratches
TEAM AVERAGE100.0073626379727173727173727386445071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Cronin69707066918558USA5991,000,000$


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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
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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


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Anthony BitettoD331990-07-15No210 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ashton SautnerD291994-05-27No195 Lbs6 ft1NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brett SeneyC/LW271996-02-28No156 Lbs5 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Charles HudonC/LW/RW291994-06-23No190 Lbs5 ft10NoNoNo3UFAPro & Farm785,662$0$0$NoLink / NHL Link
Chase DeLeoC/LW281995-10-25No185 Lbs5 ft9NoNoNo2UFAPro & Farm500,000$0$0$NoLink
Clark BishopC/LW271996-03-29No197 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Danny O'ReganC/LW301994-01-30No180 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dylan SikuraC/LW/RW281995-06-01No170 Lbs5 ft11NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Joseph CramarossaC311992-10-26No190 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Keaton ThompsonD281995-09-14No182 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Malcolm SubbanG301993-12-21No215 Lbs6 ft2NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Mitch ReinkeD281996-02-04No181 Lbs5 ft11NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Pierre-Cedric LabrieLW371986-12-06No226 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$0$0$NoLink
Sean MaloneC281995-04-30No197 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Seth HelgesonD331990-10-08No219 Lbs6 ft4NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Troy GrosenickG341989-08-27No185 Lbs6 ft1NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Tyrell GoulbourneLW301994-01-26No203 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1730.00193 Lbs6 ft02.29457,980$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
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 :
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4814L101001942941291230364736391010
All Games
GPWLOTWOTL SOWSOLGFGA
486411000100280
Home Games
GPWLOTWOTL SOWSOLGFGA
24519000052124
Visitor Games
GPWLOTWOTL SOWSOLGFGA
24122100048156
Last 10 Games
WLOTWOTL SOWSOL
0100000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2082712.98%1614075.16%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
43043043014031281
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
393118933.05%469167927.93%19576325.56%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
7364951631351512203


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
5 - 2023-08-1414Americans8Marlies1LBoxScore
6 - 2023-08-1528Comets5Marlies1LBoxScore
12 - 2023-08-2144Checkers3Marlies5WBoxScore
13 - 2023-08-2261Checkers5Marlies6WBoxScore
15 - 2023-08-2464Admirals4Marlies6WBoxScore
18 - 2023-08-2778Marlies2Senators9LBoxScore
19 - 2023-08-2891Marlies1Senators6LBoxScore
25 - 2023-09-03115Marlies1Rocket5LBoxScore
26 - 2023-09-04130Marlies1Rocket7LBoxScore
30 - 2023-09-08144Marlies0Admirals6LBoxScore
32 - 2023-09-10154Marlies1Griffins8LBoxScore
33 - 2023-09-11167Marlies0Griffins10LBoxScore
40 - 2023-09-18205Moose4Marlies1LBoxScore
41 - 2023-09-19219Moose8Marlies1LBoxScore
43 - 2023-09-21224Phantoms3Marlies1LBoxScore
46 - 2023-09-24240Marlies0Monsters3LBoxScore
48 - 2023-09-26266Monsters6Marlies1LBoxScore
53 - 2023-10-01278Marlies3Crunch5LBoxScore
54 - 2023-10-02290Crunch3Marlies5WBoxScore
57 - 2023-10-05309Griffins8Marlies0LBoxScore
62 - 2023-10-10346Griffins7Marlies1LBoxScore
67 - 2023-10-15363Marlies5Bruins10LBoxScore
69 - 2023-10-17381Marlies0Wolfpack6LBoxScore
72 - 2023-10-20390Bruins4Marlies1LBoxScore
74 - 2023-10-22405Marlies1Senators8LBoxScore
78 - 2023-10-26425Senators7Marlies2LBoxScore
79 - 2023-10-27428Marlies3Monsters7LBoxScore
82 - 2023-10-30451Senators5Marlies2LBoxScore
86 - 2023-11-03471Monsters2Marlies3WBoxScore
89 - 2023-11-06488Crunch4Marlies3LBoxScore
90 - 2023-11-07508Crunch6Marlies5LBoxScore
95 - 2023-11-12519Senators10Marlies3LBoxScore
97 - 2023-11-14545Marlies2Senators9LBoxScore
103 - 2023-11-20575Marlies6Checkers5WXBoxScore
104 - 2023-11-21589Marlies4Checkers5LBoxScore
107 - 2023-11-24599Marlies3Monsters5LBoxScore
110 - 2023-11-27629Marlies2Phantoms8LBoxScore
111 - 2023-11-28640Marlies4Bears3WBoxScore
114 - 2023-12-01648Marlies1Penguins6LBoxScore
116 - 2023-12-03657Marlies1Comets3LBoxScore
117 - 2023-12-04670Marlies2Comets7LBoxScore
123 - 2023-12-10685Rocket4Marlies0LBoxScore
124 - 2023-12-11697Rocket2Marlies1LBoxScore
128 - 2023-12-15717Penguins7Marlies1LBoxScore
130 - 2023-12-17726Marlies3Senators7LBoxScore
131 - 2023-12-18735Bears4Marlies2LBoxScore
133 - 2023-12-20755Americans5Marlies0LBoxScore
137 - 2023-12-24772Marlies2Rocket8LBoxScore
138 - 2023-12-25782Marlies-Rocket-
142 - 2023-12-29808Marlies-Monsters-
144 - 2023-12-31817Marlies-Crunch-
145 - 2024-01-01831Crunch-Marlies-
149 - 2024-01-05850Senators-Marlies-
151 - 2024-01-07859Marlies-Comets-
152 - 2024-01-08878Marlies-Thunderbirds-
Trade Deadline --- Trades can’t be done after this day is simulated!
158 - 2024-01-14910Marlies-Americans-
159 - 2024-01-15915Americans-Marlies-
160 - 2024-01-16931Rocket-Marlies-
165 - 2024-01-21955Marlies-Americans-
166 - 2024-01-22961Wolfpack-Marlies-
167 - 2024-01-23978Rocket-Marlies-
170 - 2024-01-26990Marlies-Moose-
172 - 2024-01-28994Marlies-Moose-
177 - 2024-02-021027Thunderbirds-Marlies-
180 - 2024-02-051047Comets-Marlies-
181 - 2024-02-061064Comets-Marlies-
184 - 2024-02-091070Senators-Marlies-
186 - 2024-02-111078Marlies-Crunch-
187 - 2024-02-121093Marlies-Crunch-
191 - 2024-02-161112Marlies-Americans-
194 - 2024-02-191130Monsters-Marlies-
195 - 2024-02-201148Monsters-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance45,30722,446
Attendance PCT94.39%93.53%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
12 2823 - 94.10% 70,489$1,691,740$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
758,926$ 77,857$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 56,390$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
845,870$ 58 5,527$ 320,566$




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
128296802201170454-284416320020191224-133413360200079230-15125170331501100665646205607066706653666101877514753924711.99%32110268.22%2686199834.33%901284931.63%399135529.45%12418242800620894352
128296802201170454-284416320020191224-133413360200079230-15125170331501100665646205607066706653666101877514753924711.99%32110268.22%2686199834.33%901284931.63%399135529.45%12418242800620894352
137646801300118417-299381360010060210-150383320120058207-149131182303480004635361763058060157932578756461275323309.29%2617172.80%1527180329.23%702254627.57%326121126.92%10506852692580827303
137646801300118417-299381360010060210-150383320120058207-149131182303480004635361763058060157932578756461275323309.29%2617172.80%1527180329.23%702254627.57%326121126.92%10506852692580827303
147646900210123440-317382330021060216-156382360000063224-1611212323435700047413416430544519576364410207131260277248.66%3037475.58%4415171824.16%676273224.74%310120525.73%9916362786561791289
147646900210123440-317382330021060216-156382360000063224-1611212323435700047413416430544519576364410207131260277248.66%3037475.58%4415171824.16%676273224.74%310120525.73%9916362786561791289
1582323106625200180204116140432211093174116170230390873912003445443100796152210206797046832258656118916183866216.06%4655787.74%21152244447.14%1147266243.09%553115148.05%200514162016580959478
1582323106625200180204116140432211093174116170230390873912003445443100796152210206797046832258656118916183866216.06%4655787.74%21152244447.14%1147266243.09%553115148.05%200514162016580959478
1682214802443164253-8941161801312100121-21415300113164132-686116426242624065534018580601621614279179294216653626417.68%3746981.55%0659210131.37%889295330.10%357113731.40%166311552399579903416
1682214802443164253-8941161801312100121-21415300113164132-686116426242624065534018580601621614279179294216653626417.68%3746981.55%0659210131.37%889295330.10%357113731.40%166311552399579903416
177276202001141423-282365290100175210-135362330100066213-1471914127341410057453718800682558630328791958813262553413.33%2567371.48%1574175332.74%743250329.68%360116930.80%11087422454518768307
177276202001141423-282365290100175210-135362330100066213-1471914127341410057453718800682558630328791958813262553413.33%2567371.48%1574175332.74%743250329.68%360116930.80%11087422454518768307
184864101000100280-180245190000052124-72241220100048156-108141001942941040312811291430430430123036473639102082712.98%1614075.16%1393118933.05%469167927.93%19576325.56%7364951631351512203
Total Regular Season98816073302734142019324614-2682494973430122281210442272-12284946339001512688882342-14544561932354254741528407516104912389543080147776749540109112071006918148419854913.08%412193277.38%2184192482333.92%105853416930.98%48051521931.57%1685911419319307232108024501