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Marlies
GP: 48 | W: 9 | L: 31 | OTL: 8 | P: 26
GF: 107 | GA: 185 | PP%: 27.12% | PK%: 66.20%
GM : Phil VendorMolen | Morale : 17 | Team Overall : 57
Next Games #750 vs Stars
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Game Center
Marlies
9-31-8, 26pts
1
FINAL
4 Moose
19-25-4, 42pts
Team Stats
L4StreakL1
5-17-2Home Record10-12-2
4-14-6Away Record9-13-2
2-7-1Last 10 Games3-6-1
2.23Goals Per Game2.94
3.85Goals Against Per Game3.88
27.12%Power Play Percentage29.13%
66.20%Penalty Kill Percentage72.78%
IceHogs
22-21-5, 49pts
3
FINAL
2 Marlies
9-31-8, 26pts
Team Stats
W2StreakL4
13-10-1Home Record5-17-2
9-11-4Away Record4-14-6
4-6-0Last 10 Games2-7-1
3.08Goals Per Game2.23
3.23Goals Against Per Game3.85
20.63%Power Play Percentage27.12%
74.03%Penalty Kill Percentage66.20%
Stars
35-8-5, 75pts
2022-12-18
Marlies
9-31-8, 26pts
Team Stats
W11StreakL4
17-2-5Home Record5-17-2
18-6-0Away Record4-14-6
10-0-0Last 10 Games2-7-1
3.65Goals Per Game2.23
2.50Goals Against Per Game3.85
26.49%Power Play Percentage27.12%
78.05%Penalty Kill Percentage66.20%
Marlies
9-31-8, 26pts
2022-12-20
Eagles
18-24-6, 42pts
Team Stats
L4StreakL1
5-17-2Home Record8-13-3
4-14-6Away Record10-11-3
2-7-1Last 10 Games2-5-3
2.23Goals Per Game2.08
3.85Goals Against Per Game2.77
27.12%Power Play Percentage28.45%
66.20%Penalty Kill Percentage75.24%
Marlies
9-31-8, 26pts
2022-12-21
Gulls
21-20-8, 50pts
Team Stats
L4StreakL1
5-17-2Home Record10-11-3
4-14-6Away Record11-9-5
2-7-1Last 10 Games3-6-1
2.23Goals Per Game2.71
3.85Goals Against Per Game3.22
27.12%Power Play Percentage29.69%
66.20%Penalty Kill Percentage72.59%
Team Leaders
Wins
Victor Brattstrom
9
Save Percentage
Victor Brattstrom
0.833

Team Stats
Goals For
107
2.23 GFG
Shots For
781
16.27 Avg
Power Play Percentage
27.1%
32 GF
Offensive Zone Start
34.3%
Goals Against
185
3.85 GAA
Shots Against
1086
22.63 Avg
Penalty Kill Percentage
66.2%
48 GA
Defensive Zone Start
35.6%
Team Info

General ManagerPhil VendorMolen
CoachBenoit Grouix
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,172
Season Tickets1,500


Roster Info

Pro Team37
Farm Team18
Contract Limit55 / 100
Prospects136


Team History

This Season9-31-8 (26PTS)
History70-118-33 (0.317%)
Playoff Appearances0
Playoff Record (W-L)-
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
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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
# 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
1Dylan SikuraXX100.0072639168637576735068736367515268216502731,155,000$
2Adam GaudetteXXX100.0078549177655975684765626275656563306402631,333,000$
3Nicolas Aube-KubelX100.0085548276685688603264686625636367316402611,179,000$
4Carl GrundstromX100.0090468681745876593561705925616167346302531,604,000$
5Sheldon RempalXX100.0066607662606868715067736068474766246202711,128,000$
6Isaac RatcliffeX100.008245726981577165257659612546466332620231750,000$
7Scott ReedyX100.006342917178597168535671612549496628610232806,585$
8Rafael Harvey-PinardXX100.007164917165636361796160625845456329600242905,683$
9Ben JonesX100.006768706870757959765164586246466131590233925,000$
10Tanner LaczynskiXXX100.007671917171565561785860635846466222590252925,000$
11Ben McCartney (R)X100.006967727869606059505561575946466027580213880,643$
12Aarne TalvitieXX100.007570896870606254694756625445455823570232822,697$
13Slater KoekkoekX100.007644767672575255255649692562635722620281750,000$
14Kurtis MacDermidX100.0084995769904669562545506625626255226202822,335,000$
15Sebastian AhoDX100.0072439171667051612562476525494959176002611,625,000$
16Jordan GrossX100.0071687866686262632560526148464658365902711,083,000$
17Kristians RubinsX100.0085848768856267462538396337464650365902511,029,000$
18Tarmo ReunanenX100.007265917067565752254843593946465217570242948,925$
Scratches
1Maxim MaminXXX88.698058897877625458246471592549496618610282925,000$
2Evan BarrattX100.006968706468616356705058605544445920560232888,162$
3Travis BarronX100.007475706575565755504957625444445820560241893,540$
4Graham KnottXX100.007974896074535356705058655544446019560261750,000$
5Logan HutskoXX100.006962856362575758735953605044445820560233944,443$
6Kole SherwoodX100.0077777765775759505047486246454555205502611,160,000$
7Luke EspositoX100.006565666265656855505451574844445620550291947,000$
8Blade Jenkins (R)XX100.007871936371535452654653635044445820550222767,054$
9Maxim Cajkovic (R)XX100.007973936673413853504754645144445720540223845,183$
10Jonathan Gruden (R)X100.006664716364575853505151574844445520540222803,004$
11Andre Lee (R)XX100.007879756679373549614844624244445220520223864,515$
12Matteo GennaroX100.007470836870414050504450614844445420520251750,000$
13Alexander Khovanov (R)X100.007169776269413950634846594444445120510223869,198$
14Philip KempX100.007976886377535546253541623945455119560232915,914$
15Daniel BrickleyX100.0080768856764444462538396337444450195402711,082,000$
16Dawson Barteaux (R)X100.007671896671495144253340603844445020540232848,377$
TEAM AVERAGE99.67756682687157605747535562454848582358
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")
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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 SP
1Victor Brattstrom (R)100.00474050834844494947503046464618500
2David Tendeck (R)100.00444050644544454945454544444518470
Scratches
1Keith Petruzzelli (R)79.55444050804543444844454544444519480
TEAM AVERAGE93.1845405076464446494547404545451848
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Benoit Grouix60477337564753CAN533750,000$


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
# 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
1Dylan SikuraMarlies (TOR)LW/RW47152540-3835157879110236213.64%13104522.24591421961122640238.96%772318000.7700030113
2Adam GaudetteMarlies (TOR)C/LW/RW42211839-2580738098256221.43%2289221.26891721820116861245.26%5591718010.8702000322
3Carl GrundstromMarlies (TOR)LW48121830-162010945397266112.37%1892719.316814291021233530130.19%531713000.6501002031
4Sheldon RempalMarlies (TOR)LW/RW48111425-194410847745144024.44%1793119.411234692024191142.72%3091017000.5425002200
5Nicolas Aube-KubelMarlies (TOR)RW4871623-21235817167154210.45%16100821.001235731346940136.64%1311816000.4615100111
6Isaac RatcliffeMarlies (TOR)LW4871320-13315935661225711.48%881216.93044518000041039.19%741312000.4900001110
7Maxim MaminMarlies (TOR)C/LW/RW387815-163010396445162715.56%772118.982134511012420030.57%3141612000.4204002000
8Jordan GrossMarlies (TOR)D4841115-12854570864412209.09%38111523.24134460101484100.00%01032000.2700126000
9Slater KoekkoekMarlies (TOR)D312810-20235464018101611.11%2561419.83246341000120000.00%0415000.3300010000
10Tarmo ReunanenMarlies (TOR)D47459-1611527512313517.39%3388418.81437965000277000.00%0117000.2000010001
11Kurtis MacDermidMarlies (TOR)D38369-1612830635725111312.00%3484522.24213366000151000.00%01224000.2101312000
12Sebastian AhoDMarlies (TOR)D48088-29402862237110.00%2894619.72011151000060000.00%1818000.1700000000
13Scott ReedyMarlies (TOR)C48538-164049523991612.82%967714.1100000000000047.70%28354000.2400000000
14Kristians RubinsMarlies (TOR)D48077-23292561732710110.00%43107322.37022274011188000.00%0629000.1300301000
15Ben McCartneyMarlies (TOR)LW48145-202007538257174.00%358212.13011222000011060.00%1094000.1700000001
16Ben JonesMarlies (TOR)C48314060262073642.86%14028.390111130000181052.86%7035000.2000000100
17Tanner LaczynskiMarlies (TOR)C/LW/RW47314-10032392291513.64%14389.3201107000021055.56%963000.1800000002
18Philip KempMarlies (TOR)D18011-220752110.00%31367.580000000001000.00%002000.1500000000
19Daniel BrickleyMarlies (TOR)D10000-100650000.00%413913.960000000005000.00%013000.0000000000
20Rafael Harvey-PinardMarlies (TOR)C/LW48000-1001013210.00%1861.8000000000000064.71%1700000.0000000000
21Aarne TalvitieMarlies (TOR)C/LW37000000100000.00%0180.51000000000000100.00%100000.0000000000
22Graham KnottMarlies (TOR)C/LW23000000100000.00%030.170000000000000.00%000000.0000000000
Team Total or Average906105167272-3055031651044100978123548313.44%3241430315.793252841148987815327787741.88%1908179262010.3831888169811
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
1Victor BrattstromMarlies (TOR)4892980.8333.54273302161966615110.70617480120
2Keith PetruzzelliMarlies (TOR)70200.8326.70179002011975200.0000045000
Team Total or Average5593180.8333.732912021811085690310.706174845120


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
Aarne TalvitieMarlies (TOR)C/LW232/11/1999No198 Lbs5 ft11NoNoNo2Pro & Farm822,697$408,004$0$0$No822,697$Link
Adam GaudetteMarlies (TOR)C/LW/RW2610/2/1996No170 Lbs6 ft1NoNoNo3Pro & Farm1,333,000$661,081$0$0$No1,333,000$1,333,000$Link / NHL Link
Alexander KhovanovMarlies (TOR)C224/12/2000Yes198 Lbs5 ft10NoNoNo3Pro & Farm869,198$431,066$0$0$No869,198$869,198$Link
Andre LeeMarlies (TOR)C/LW227/26/2000Yes205 Lbs6 ft5NoNoNo3Pro & Farm864,515$428,743$0$0$No864,515$864,515$Link
Ben JonesMarlies (TOR)C232/25/1999No187 Lbs6 ft0NoNoNo3Pro & Farm925,000$458,740$0$0$No925,000$925,000$Link
Ben McCartneyMarlies (TOR)LW217/13/2001Yes183 Lbs6 ft0NoNoNo3Pro & Farm880,643$436,742$0$0$No880,643$880,643$Link
Blade JenkinsMarlies (TOR)C/LW228/11/2000Yes194 Lbs6 ft1NoNoNo2Pro & Farm767,054$380,409$0$0$No767,054$Link
Carl GrundstromMarlies (TOR)LW2512/1/1997No201 Lbs6 ft0NoNoNo3Pro & Farm1,604,000$795,480$0$0$No1,604,000$1,604,000$Link / NHL Link
Daniel BrickleyMarlies (TOR)D273/30/1995No203 Lbs6 ft3NoNoNo1Pro & Farm1,082,000$536,602$0$0$NoLink / NHL Link
David TendeckMarlies (TOR)G2311/25/1999Yes172 Lbs6 ft1NoNoNo3Pro & Farm866,927$429,939$0$0$No866,927$866,927$Link
Dawson BarteauxMarlies (TOR)D231/12/2000Yes190 Lbs6 ft1NoNoNo2Pro & Farm848,377$420,740$0$0$No848,377$Link
Dylan SikuraMarlies (TOR)LW/RW276/1/1995No170 Lbs5 ft11NoNoNo3Pro & Farm1,155,000$572,805$0$0$No1,155,000$1,155,000$Link / NHL Link
Evan BarrattMarlies (TOR)C232/18/1999No188 Lbs6 ft0NoNoNo2Pro & Farm888,162$440,471$0$0$No888,162$Link
Graham KnottMarlies (TOR)C/LW261/13/1997No199 Lbs6 ft3NoNoNo1Pro & Farm750,000$371,951$0$0$NoLink
Isaac RatcliffeMarlies (TOR)LW232/15/1999No200 Lbs6 ft6NoNoNo1Pro & Farm750,000$371,951$0$0$NoLink
Jonathan GrudenMarlies (TOR)LW225/4/2000Yes172 Lbs6 ft0NoNoNo2Pro & Farm803,004$398,238$0$0$No803,004$Link
Jordan GrossMarlies (TOR)D275/9/1995No190 Lbs5 ft10NoNoNo1Pro & Farm1,083,000$537,098$0$0$NoLink / NHL Link
Keith PetruzzelliMarlies (TOR)G232/9/1999Yes185 Lbs6 ft5NoNoNo3Pro & Farm802,110$397,794$0$0$No802,110$802,110$Link
Kole SherwoodMarlies (TOR)RW261/22/1997No212 Lbs6 ft1NoNoNo1Pro & Farm1,160,000$575,285$0$0$NoLink / NHL Link
Kristians RubinsMarlies (TOR)D2512/11/1997No221 Lbs6 ft5NoNoNo1Pro & Farm1,029,000$510,317$0$0$NoLink / NHL Link
Kurtis MacDermidMarlies (TOR)D283/25/1994No233 Lbs6 ft5NoNoNo2Pro & Farm2,335,000$1,158,008$0$0$No2,335,000$Link / NHL Link
Logan HutskoMarlies (TOR)C/RW232/11/1999No172 Lbs5 ft10NoNoNo3Pro & Farm944,443$468,382$0$0$No944,443$944,443$Link
Luke EspositoMarlies (TOR)LW2910/18/1993No183 Lbs5 ft10NoNoNo1Pro & Farm947,000$469,650$0$0$NoLink / NHL Link
Matteo GennaroMarlies (TOR)LW253/30/1997No187 Lbs6 ft2NoNoNo1Pro & Farm750,000$371,951$0$0$NoLink
Maxim CajkovicMarlies (TOR)LW/RW221/3/2001Yes201 Lbs6 ft0NoNoNo3Pro & Farm845,183$419,156$0$0$No845,183$845,183$Link
Maxim MaminMarlies (TOR)C/LW/RW281/13/1995No206 Lbs6 ft2NoNoNo2Pro & Farm925,000$458,740$0$0$No925,000$Link
Nicolas Aube-KubelMarlies (TOR)RW265/9/1996No187 Lbs5 ft11NoNoNo1Pro & Farm1,179,000$584,707$0$0$NoLink / NHL Link
Philip KempMarlies (TOR)D232/12/1999No203 Lbs6 ft3NoNoNo2Pro & Farm915,914$454,234$0$0$No915,914$Link
Rafael Harvey-PinardMarlies (TOR)C/LW241/6/1999No183 Lbs5 ft9NoNoNo2Pro & Farm905,683$449,160$0$0$No905,683$Link
Scott ReedyMarlies (TOR)C234/4/1999No209 Lbs6 ft2NoNoNo2Pro & Farm806,585$400,014$0$0$No806,585$Link
Sebastian AhoDMarlies (TOR)D262/17/1996No183 Lbs5 ft11NoNoNo1Pro & Farm1,625,000$805,894$0$0$NoLink
Sheldon RempalMarlies (TOR)LW/RW278/7/1995No165 Lbs5 ft10NoNoNo1Pro & Farm1,128,000$559,415$0$0$NoLink
Slater KoekkoekMarlies (TOR)D282/18/1994No193 Lbs6 ft2NoNoNo1Pro & Farm750,000$371,951$0$0$NoLink / NHL Link
Tanner LaczynskiMarlies (TOR)C/LW/RW256/1/1997No190 Lbs6 ft1NoNoNo2Pro & Farm925,000$458,740$0$0$No925,000$Link
Tarmo ReunanenMarlies (TOR)D243/1/1998No179 Lbs6 ft0NoNoNo2Pro & Farm948,925$470,605$0$0$No948,925$Link
Travis BarronMarlies (TOR)LW248/17/1998No205 Lbs6 ft1NoNoNo1Pro & Farm893,540$443,138$0$0$NoLink
Victor BrattstromMarlies (TOR)G253/22/1997Yes201 Lbs6 ft4NoNoNo3Pro & Farm877,697$435,281$0$0$No877,697$877,697$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3724.57192 Lbs6 ft11.97999,612$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan SikuraAdam GaudetteNicolas Aube-Kubel40122
2Carl GrundstromSheldon Rempal30122
3Isaac RatcliffeScott ReedyTanner Laczynski20122
4Ben McCartneyRafael Harvey-PinardDylan Sikura10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekKurtis MacDermid40122
2Sebastian AhoDKristians Rubins30122
3Jordan GrossTarmo Reunanen20122
4Slater KoekkoekKurtis MacDermid10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan SikuraAdam GaudetteNicolas Aube-Kubel60122
2Carl GrundstromSheldon Rempal40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekKurtis MacDermid60122
2Sebastian AhoDKristians Rubins40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dylan SikuraAdam Gaudette60122
2Nicolas Aube-KubelCarl Grundstrom40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekKurtis MacDermid60122
2Sebastian AhoDKristians Rubins40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dylan Sikura60122Slater KoekkoekKurtis MacDermid60122
2Adam Gaudette40122Sebastian AhoDKristians Rubins40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan SikuraAdam Gaudette60122
2Nicolas Aube-KubelCarl Grundstrom40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Slater KoekkoekKurtis MacDermid60122
2Sebastian AhoDKristians Rubins40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dylan SikuraAdam GaudetteNicolas Aube-KubelSlater KoekkoekKurtis MacDermid
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dylan SikuraAdam GaudetteNicolas Aube-KubelSlater KoekkoekKurtis MacDermid
Extra Forwards
Normal PowerPlayPenalty Kill
Ben Jones, Aarne Talvitie, Isaac RatcliffeBen Jones, Aarne TalvitieIsaac Ratcliffe
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Gross, Tarmo Reunanen, Sebastian AhoDJordan GrossTarmo Reunanen, Sebastian AhoD
Penalty Shots
Dylan Sikura, Adam Gaudette, Nicolas Aube-Kubel, Carl Grundstrom, Isaac Ratcliffe
Goalie
#1 : Victor Brattstrom, #2 : David Tendeck


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
1Admirals21100000871000000000002110000087120.5008132100164146538188301278304812304110550.00%5260.00%028764144.77%26666639.94%24656243.77%8393068915261185601
2Americans2020000015-41010000002-21010000013-200.00012300164146524188301278302312239300.00%10100.00%028764144.77%26666639.94%24656243.77%8393068915261185601
3Barracuda2020000059-41010000014-31010000045-100.00058130016414655218830127830391327654250.00%11554.55%028764144.77%26666639.94%24656243.77%8393068915261185601
4Bears2010010014-31010000002-21000010012-110.250123001641465918830127830211036000.00%000.00%028764144.77%26666639.94%24656243.77%8393068915261185601
5Bruins1010000045-1000000000001010000045-100.0004711001641465241883012783018108142150.00%4250.00%028764144.77%26666639.94%24656243.77%8393068915261185601
6Canucks2010010038-51010000037-41000010001-110.250358001641465291883012783048125154700.00%8275.00%228764144.77%26666639.94%24656243.77%8393068915261185601
7Checkers20200000413-920200000413-90000000000000.0004590016414652518830127830692029427228.57%7271.43%128764144.77%26666639.94%24656243.77%8393068915261185601
8Crunch3020000138-51010000002-22010000136-310.167358001641465231883012783034817695120.00%6350.00%028764144.77%26666639.94%24656243.77%8393068915261185601
9Eagles1010000002-21010000002-20000000000000.000000001641465518830127830102625200.00%3233.33%028764144.77%26666639.94%24656243.77%8393068915261185601
10Heat3010110068-21010000024-22000110044030.500610160116414654818830127830381416594250.00%8362.50%128764144.77%26666639.94%24656243.77%8393068915261185601
11IceHogs1010000023-11010000023-10000000000000.00024600164146532188301278302013824300.00%40100.00%028764144.77%26666639.94%24656243.77%8393068915261185601
12Islanders1010000057-2000000000001010000057-200.0005914101641465211883012783044118274375.00%40100.00%028764144.77%26666639.94%24656243.77%8393068915261185601
13Monsters20001010642100000102111000100043141.0006814001641465311883012783024343376116.67%9455.56%028764144.77%26666639.94%24656243.77%8393068915261185601
14Moose40300100817-92020000027-520100100610-410.1258142200164146577188301278307823418912325.00%14750.00%128764144.77%26666639.94%24656243.77%8393068915261185601
15Penguins1010000037-41010000037-40000000000000.000369001641465211883012783040149238112.50%220.00%028764144.77%26666639.94%24656243.77%8393068915261185601
16Phantoms411000111112-12100000110912010001013-250.6251116270116414656018830127830882130739333.33%10280.00%128764144.77%26666639.94%24656243.77%8393068915261185601
17Reign30300000723-1620200000415-111010000038-500.000781500164146557188301278301263381729222.22%18477.78%128764144.77%26666639.94%24656243.77%8393068915261185601
18Roadrunners2010000147-31000000112-11010000035-210.25046100016414653118830127830311035413133.33%5260.00%028764144.77%26666639.94%24656243.77%8393068915261185601
19Rocket11000000211110000002110000000000021.0002460016414651618830127830259431000.00%20100.00%028764144.77%26666639.94%24656243.77%8393068915261185601
20Silver Knights1010000001-11010000001-10000000000000.000000001641465131883012783082413200.00%2150.00%028764144.77%26666639.94%24656243.77%8393068915261185601
21Stars21100000770110000003121010000046-220.500710170016414653918830127830561410483133.33%20100.00%028764144.77%26666639.94%24656243.77%8393068915261185601
22Thunderbirds30300000815-71010000004-420200000811-300.0008132100164146569188301278309843346110220.00%12375.00%028764144.77%26666639.94%24656243.77%8393068915261185601
23Wild1010000036-3000000000001010000036-300.00034700164146515188301278304512420000.00%2150.00%028764144.77%26666639.94%24656243.77%8393068915261185601
24Wolf Pack1000010023-1000000000001000010023-110.50023500164146510188301278302230282150.00%000.00%028764144.77%26666639.94%24656243.77%8393068915261185601
25Wolves11000000431110000004310000000000021.00045900164146512188301278303396133133.33%3166.67%028764144.77%26666639.94%24656243.77%8393068915261185601
Total4853102523107185-7824417000124390-4724114025116495-31260.27110716727412164146578118830127830108632450310441183227.12%1424866.20%728764144.77%26666639.94%24656243.77%8393068915261185601
_Since Last GM Reset4853102523107185-7824417000124390-4724114025116495-31260.27110716727412164146578118830127830108632450310441183227.12%1424866.20%728764144.77%26666639.94%24656243.77%8393068915261185601
_Vs Conference323220131273134-6116212000022968-3916110013104466-22150.2347311418712164146552418830127830770230331676842529.76%912968.13%528764144.77%26666639.94%24656243.77%8393068915261185601
_Vs Division9110001121432-1851400002618-1240600110814-670.38914233700164146511218830127830169596019517423.53%20765.00%128764144.77%26666639.94%24656243.77%8393068915261185601

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4826L41071672747811086324503104412
All Games
GPWLOTWOTL SOWSOLGFGA
485312523107185
Home Games
GPWLOTWOTL SOWSOLGFGA
2441700124390
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2411425116495
Last 10 Games
WLOTWOTL SOWSOL
270001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1183227.12%1424866.20%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
188301278301641465
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
28764144.77%26666639.94%24656243.77%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
8393068915261185601


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
1 - 2022-10-177Checkers5Marlies1LBoxScore
2 - 2022-10-1825Marlies0Phantoms3LBoxScore
3 - 2022-10-1940Americans2Marlies0LBoxScore
4 - 2022-10-2050Marlies4Stars6LBoxScore
6 - 2022-10-2268Roadrunners2Marlies1LXXBoxScore
8 - 2022-10-2487Marlies2Admirals4LBoxScore
9 - 2022-10-2598Penguins7Marlies3LBoxScore
10 - 2022-10-26117Marlies5Islanders7LBoxScore
11 - 2022-10-27131Marlies3Roadrunners5LBoxScore
13 - 2022-10-29142Phantoms6Marlies8WBoxScore
14 - 2022-10-30162Marlies1Heat0WXBoxScore
15 - 2022-10-31177Moose4Marlies1LBoxScore
16 - 2022-11-01190Reign8Marlies1LBoxScore
17 - 2022-11-02201Marlies1Crunch3LBoxScore
18 - 2022-11-03215Marlies4Thunderbirds5LBoxScore
20 - 2022-11-05234Marlies1Americans3LBoxScore
21 - 2022-11-06249Heat4Marlies2LBoxScore
22 - 2022-11-07271Eagles2Marlies0LBoxScore
23 - 2022-11-08279Marlies1Bears2LXBoxScore
25 - 2022-11-10299Wolves3Marlies4WBoxScore
27 - 2022-11-12317Marlies2Crunch3LXXBoxScore
28 - 2022-11-13333Barracuda4Marlies1LBoxScore
29 - 2022-11-14349Marlies3Wild6LBoxScore
31 - 2022-11-16363Silver Knights1Marlies0LBoxScore
32 - 2022-11-17381Checkers8Marlies3LBoxScore
33 - 2022-11-18395Marlies4Monsters3WXBoxScore
35 - 2022-11-20412Stars1Marlies3WBoxScore
36 - 2022-11-21425Marlies4Bruins5LBoxScore
37 - 2022-11-22439Marlies0Canucks1LXBoxScore
38 - 2022-11-23453Reign7Marlies3LBoxScore
39 - 2022-11-24470Marlies6Admirals3WBoxScore
40 - 2022-11-25484Thunderbirds4Marlies0LBoxScore
41 - 2022-11-26501Marlies3Heat4LXBoxScore
43 - 2022-11-28519Monsters1Marlies2WXXBoxScore
44 - 2022-11-29533Moose3Marlies1LBoxScore
45 - 2022-11-30548Marlies5Moose6LXBoxScore
46 - 2022-12-01562Crunch2Marlies0LBoxScore
48 - 2022-12-03580Marlies2Wolf Pack3LXBoxScore
50 - 2022-12-05595Phantoms3Marlies2LXXBoxScore
51 - 2022-12-06611Marlies4Thunderbirds6LBoxScore
52 - 2022-12-07627Bears2Marlies0LBoxScore
54 - 2022-12-09643Marlies3Reign8LBoxScore
55 - 2022-12-10658Rocket1Marlies2WBoxScore
56 - 2022-12-11671Marlies1Phantoms0WXXBoxScore
57 - 2022-12-12687Canucks7Marlies3LBoxScore
59 - 2022-12-14703Marlies4Barracuda5LBoxScore
60 - 2022-12-15718Marlies1Moose4LBoxScore
61 - 2022-12-16732IceHogs3Marlies2LBoxScore
63 - 2022-12-18750Stars-Marlies-
65 - 2022-12-20765Marlies-Eagles-
66 - 2022-12-21781Marlies-Gulls-
67 - 2022-12-22794Gulls-Marlies-
68 - 2022-12-23812Bruins-Marlies-
70 - 2022-12-25828Marlies-Penguins-
71 - 2022-12-26844Islanders-Marlies-
72 - 2022-12-27857Marlies-Eagles-
73 - 2022-12-28877Senators-Marlies-
74 - 2022-12-29890Marlies-Senators-
75 - 2022-12-30906Penguins-Marlies-
77 - 2023-01-01921Marlies-Penguins-
78 - 2023-01-02935Marlies-Griffins-
79 - 2023-01-03947Marlies-Islanders-
80 - 2023-01-04959Islanders-Marlies-
82 - 2023-01-06980Wolf Pack-Marlies-
84 - 2023-01-081002Bears-Marlies-
85 - 2023-01-091010Marlies-Reign-
86 - 2023-01-101020Marlies-Bears-
87 - 2023-01-111040Marlies-Silver Knights-
88 - 2023-01-121052Roadrunners-Marlies-
89 - 2023-01-131071Marlies-Americans-
90 - 2023-01-141077Penguins-Marlies-
91 - 2023-01-151088Marlies-Roadrunners-
92 - 2023-01-161106Americans-Marlies-
93 - 2023-01-171122Marlies-Rocket-
94 - 2023-01-181136Griffins-Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
95 - 2023-01-191149Marlies-Griffins-
97 - 2023-01-211169Admirals-Marlies-
99 - 2023-01-231198Griffins-Marlies-
100 - 2023-01-241211Marlies-Stars-
101 - 2023-01-251217Marlies-Checkers-
102 - 2023-01-261236Admirals-Marlies-
103 - 2023-01-271244Marlies-IceHogs-
105 - 2023-01-291266Condors-Marlies-
107 - 2023-01-311290Wild-Marlies-
108 - 2023-02-011301Marlies-Comets-
109 - 2023-02-021315Marlies-Wolves-
111 - 2023-02-041330Comets-Marlies-
112 - 2023-02-051351Eagles-Marlies-
113 - 2023-02-061357Marlies-Condors-
117 - 2023-02-101383Heat-Marlies-
118 - 2023-02-111396Marlies-Checkers-
122 - 2023-02-151423Thunderbirds-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance34,20617,914
Attendance PCT71.26%74.64%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
22 2172 - 72.39% 91,009$2,184,218$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,224,188$ 3,698,566$ 3,543,166$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
30,070$ 1,846,167$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,002,200$ 61 36,167$ 2,206,187$




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
202090303707718187238-514512190351590129-394518180420397109-12911873074940930717812137726053655357176056957317322095425.84%1634870.55%6537116246.21%612130946.75%40790944.77%1549538161998622881166
2021901850037210239378-1394592602314125198-734592401416114180-666323938262101509391131864471663702622252738108216102497931.73%2378464.56%6668137648.55%609130146.81%531116145.74%1564605174798421551085
20224853102523107185-7824417000124390-4724114025116495-312610716727412164146578118830127830108632450310441183227.12%1424866.20%728764144.77%26666639.94%24656243.77%8393068915261185601
Total Regular Season2285311801219521533801-2681142562058311258417-15911428560711210275384-10918053385613891129620521530402291915001533149509816312158438657616528.65%54218066.79%191492317946.93%1487327645.39%1184263244.98%395314504258249756282853