Login

Marlies
GP: 29 | W: 17 | L: 11 | OTL: 1 | P: 35
GF: 79 | GA: 76 | PP%: 18.02% | PK%: 84.80%
GM : Philippe Morin | Morale : 50 | Team Overall : 64
Next Games #444 vs Gulls
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Devils
6-20-3, 15pts
4
FINAL
0 Marlies
17-11-1, 35pts
Team Stats
L1StreakSOW1
4-9-2Home Record9-4-1
2-11-1Away Record8-7-0
4-5-1Last 10 Games6-4-0
2.90Goals Per Game2.72
5.28Goals Against Per Game2.62
15.96%Power Play Percentage18.02%
66.98%Penalty Kill Percentage84.80%
Marlies
17-11-1, 35pts
3
FINAL
2 Moose
11-14-4, 26pts
Team Stats
SOW1StreakSOL1
9-4-1Home Record6-6-3
8-7-0Away Record5-8-1
6-4-0Last 10 Games4-5-1
2.72Goals Per Game2.86
2.62Goals Against Per Game3.28
18.02%Power Play Percentage16.67%
84.80%Penalty Kill Percentage80.49%
Gulls
17-8-4, 38pts
2022-12-08
Marlies
17-11-1, 35pts
Team Stats
SOW1StreakSOW1
10-3-2Home Record9-4-1
7-5-2Away Record8-7-0
8-2-0Last 10 Games6-4-0
3.24Goals Per Game2.72
2.83Goals Against Per Game2.62
18.58%Power Play Percentage18.02%
82.56%Penalty Kill Percentage84.80%
Wolves
12-12-5, 29pts
2022-12-11
Marlies
17-11-1, 35pts
Team Stats
W2StreakSOW1
8-5-2Home Record9-4-1
4-7-3Away Record8-7-0
4-3-3Last 10 Games6-4-0
3.41Goals Per Game2.72
3.59Goals Against Per Game2.62
16.84%Power Play Percentage18.02%
78.99%Penalty Kill Percentage84.80%
Rocket
16-10-3, 35pts
2022-12-14
Marlies
17-11-1, 35pts
Team Stats
W1StreakSOW1
8-4-2Home Record9-4-1
8-6-1Away Record8-7-0
5-5-0Last 10 Games6-4-0
3.24Goals Per Game2.72
3.00Goals Against Per Game2.62
21.30%Power Play Percentage18.02%
77.88%Penalty Kill Percentage84.80%
Team Leaders
A.J. GreerGoals
A.J. Greer
10
Victor RaskAssists
Victor Rask
15
Victor RaskPoints
Victor Rask
22
Andrej SustrPlus/Minus
Andrej Sustr
6
Karel VejmelkaWins
Karel Vejmelka
17
Connor IngramSave Percentage
Connor Ingram
0.938

Team Stats
Goals For
79
2.72 GFG
Shots For
973
33.55 Avg
Power Play Percentage
18.0%
20 GF
Offensive Zone Start
43.6%
Goals Against
76
2.62 GAA
Shots Against
843
29.07 Avg
Penalty Kill Percentage
84.8%
19 GA
Defensive Zone Start
39.9%
Team Info

General ManagerPhilippe Morin
CoachDominique Ducharme
DivisionPacific
ConferenceAmerican
CaptainSam Carrick
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,017
Season Tickets0


Roster Info

Pro Team27
Farm Team19
Contract Limit46 / 250
Prospects44


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Victor RaskX100.00673883727981867182706759737269050670293900,000$
2A.J. Greer (R)X100.008043716685818265686664656966680506602511,000,000$
3Chris WagnerXX100.00784182647390876370616275587374051660312900,000$
4Jan Jenik (R)XXX100.00744371687484856970647159726263050660221900,000$
5Emil Bemstrom (R)XX100.00643792707378796771626859676364050650231800,000$
6Jack McBain (R)X100.008337726384826764776165726461620506502221,000,000$
7Justin DanforthX100.006635866764818265716368666369700506502921,100,000$
8Sam Carrick (C)XXX100.00777463657481916274636660657072050650302850,000$
9Justin BaileyXX100.00763784648980716359626369646769050650274900,000$
10Austin Wagner (R)XX100.00703682677675816257616463626567050640251850,000$
11Blake Speers (R)X100.00703782626975786273606165626567050630251900,000$
12Michael Dal Colle (R)X100.007238886282817063586259616566680506302641,500,000$
13Joel HanleyX100.00693684687180756630705564537172052650312750,000$
14Andrej SustrX100.008345825799828758306659684574750506503211,500,000$
15Jon MerrillX100.006137825984888561307256774573690506503031,200,000$
16Scott HarringtonX100.007038886180828158306759735170710506402921,000,000$
17Alex PetrovicX100.00807173629074886130605463487072050630301700,000$
18Tucker PoolmanX100.007136856380857658306055765069710506302911,500,000$
Scratches
1Tim SchallerXXX100.00723987588184925467585960587274050620321700,000$
2Sampo Ranta (R)X100.00683882627978716059575861596264050610222900,000$
3Michael Eyssimont (R)X100.00604175567087835762585960646668050600261750,000$
4Kyle MacLean (R)X100.00684173577770795664575558566365050600231850,000$
5Matt DonovanX100.00693476597873855830635557487274050620321750,000$
6Cooper Zech (R)X100.00623687536268795230575251456466050570231850,000$
TEAM AVERAGE100.0071418063788081615563616459686905064
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Karel Vejmelka (R)100.0082928993818082818082816675050700261750,000$
2Connor Ingram (R)100.0075777880747375747375746673050660251900,000$
Scratches
1Alex D'Orio (R)100.00707273826968706968706963690506302311,000,000$
TEAM AVERAGE100.007680808575747675747675657205066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dominique Ducharme84797878736877CAN491250,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Victor RaskMarlies (Tor)C2971522-160149810234726.86%562021.3825715970002531153.78%83300000.7115000202
2Joel HanleyMarlies (Tor)D2661521580423736102316.67%2761023.484262377000194020.00%000000.6900000220
3Jan JenikMarlies (Tor)C/LW/RW2971320-110026399232697.61%256019.342573299000002136.00%2500000.7115000202
4A.J. GreerMarlies (Tor)LW29106160260705310226639.80%965222.5131417972026933156.90%5800000.4935000211
5Justin DanforthMarlies (Tor)RW298715-34012358130559.88%343515.021452086000000250.00%3600000.6900000011
6Jon MerrillMarlies (Tor)D2921214-412030384111234.88%6066122.801232585022098100.00%000000.4200000011
7Sam CarrickMarlies (Tor)C/LW/RW2968142395564251214511.76%442314.59246886000011053.52%56800000.6601100000
8Andrej SustrMarlies (Tor)D294913640073304411259.09%5269123.831342498101291110.00%000000.3800000101
9Emil BemstromMarlies (Tor)LW/RW2948120004406828565.88%246516.052241487000010143.24%3700000.5201000111
10Scott HarringtonMarlies (Tor)D293912-820049384312246.98%4461121.071232158011194200.00%000000.3900000020
11Jack McBainMarlies (Tor)C29448-326064725319527.55%647816.490000001151221248.85%69600000.3300000031
12Tucker PoolmanMarlies (Tor)D29088-48011302711120.00%3141714.4000001000011000.00%000000.3800000100
13Austin WagnerMarlies (Tor)LW/RW29527480102448112210.42%32769.54000020000111063.16%1900000.5100000010
14Blake SpeersMarlies (Tor)C2925708023213210236.25%42237.72000000000170050.97%20600000.6300000000
15Justin BaileyMarlies (Tor)LW/RW29257-12017295120343.92%437913.07000040111680056.52%4600000.3701000000
16Chris WagnerMarlies (Tor)C/RW1215616023194313382.33%625020.8414514440000490065.38%2600000.4800000100
17Michael Dal ColleMarlies (Tor)LW29426020131728112514.29%02057.0900000000000030.77%1300000.5800000002
18Alex PetrovicMarlies (Tor)D2903303206215196110.00%2442814.7700002000029000.00%000000.1400000000
19Matt DonovanMarlies (Tor)D3011200111000.00%23913.090000000000000.00%000000.5100000000
20Tim SchallerMarlies (Tor)C/LW/RW17011-480131113130.00%01197.0400000000000070.00%1000000.1700000000
Team Total or Average52275138213-926556136799733196857.71%288855016.3820345421393235818839131152.04%257300000.50518100121212
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
1Karel VejmelkaMarlies (Tor)29171110.9102.54165642707780110.94117290412
2Connor IngramMarlies (Tor)40000.9382.24107004640000.0000029000
Team Total or Average33171110.9122.52176442748420110.941172929412


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 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
A.J. GreerMarlies (Tor)LW251996-12-14Yes204 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$0$0$NoNHL Link
Alex D'OrioMarlies (Tor)G231999-04-28Yes209 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoNHL Link
Alex PetrovicMarlies (Tor)D301992-03-03No206 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$No
Andrej SustrMarlies (Tor)D321990-11-29No217 Lbs6 ft7NoNoNo1Pro & Farm1,500,000$0$0$NoNHL Link
Austin WagnerMarlies (Tor)LW/RW251997-06-23Yes178 Lbs6 ft1NoNoNo1Pro & Farm850,000$0$0$NoNHL Link
Blake SpeersMarlies (Tor)C251997-01-02Yes185 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoNHL Link
Chris WagnerMarlies (Tor)C/RW311991-05-27No198 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$NHL Link
Connor IngramMarlies (Tor)G251997-03-31Yes196 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoNHL Link
Cooper ZechMarlies (Tor)D231998-12-18Yes165 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$NoNHL Link
Emil BemstromMarlies (Tor)LW/RW231999-06-01Yes190 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Jack McBainMarlies (Tor)C222000-01-06Yes208 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$NHL Link
Jan JenikMarlies (Tor)C/LW/RW222000-09-15Yes161 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoNHL Link
Joel HanleyMarlies (Tor)D311991-06-08No191 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$NHL Link
Jon MerrillMarlies (Tor)D301992-02-03No205 Lbs6 ft3NoNoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$NHL Link
Justin BaileyMarlies (Tor)LW/RW271995-07-01No214 Lbs6 ft4NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$NHL Link
Justin DanforthMarlies (Tor)RW291993-03-15No180 Lbs5 ft11NoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$NHL Link
Karel VejmelkaMarlies (Tor)G261996-05-26Yes224 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Kyle MacLeanMarlies (Tor)C231999-04-29Yes187 Lbs6 ft1NoNoNo1Pro & Farm850,000$0$0$NoNHL Link
Matt DonovanMarlies (Tor)D321990-05-09No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Michael Dal ColleMarlies (Tor)LW261996-06-20Yes204 Lbs6 ft3NoNoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$NHL Link
Michael EyssimontMarlies (Tor)C261996-09-06Yes180 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Sam CarrickMarlies (Tor)C/LW/RW301992-02-04No205 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No850,000$NHL Link
Sampo RantaMarlies (Tor)LW222000-05-31Yes195 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$NHL Link
Scott HarringtonMarlies (Tor)D291993-03-10No207 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$NHL Link
Tim SchallerMarlies (Tor)C/LW/RW321990-11-16No210 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoNHL Link
Tucker PoolmanMarlies (Tor)D291993-06-08No199 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$NoNHL Link
Victor RaskMarlies (Tor)C291993-03-01No200 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2726.93197 Lbs6 ft21.63951,852$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1A.J. GreerVictor RaskJan Jenik35023
2Emil BemstromSam CarrickChris Wagner30023
3Justin BaileyJack McBainJustin Danforth25023
4Michael Dal ColleBlake SpeersAustin Wagner10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jon MerrillAndrej Sustr40032
2Scott HarringtonJoel Hanley35032
3Alex PetrovicTucker Poolman25032
4Jon MerrillAndrej Sustr0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1A.J. GreerVictor RaskChris Wagner60005
2Emil BemstromSam CarrickJustin Danforth40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jan JenikAndrej Sustr60005
2Jon MerrillJoel Hanley40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jack McBainChris Wagner60050
2Victor RaskA.J. Greer40050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jon MerrillAndrej Sustr60050
2Scott HarringtonJoel Hanley40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jack McBain60050Jon MerrillAndrej Sustr60050
2Chris Wagner40050Tucker PoolmanJoel Hanley40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Victor RaskA.J. Greer60023
2Sam CarrickJan Jenik40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jon MerrillAndrej Sustr60032
2Scott HarringtonJoel Hanley40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
A.J. GreerVictor RaskJan JenikJon MerrillAndrej Sustr
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
A.J. GreerJack McBainJan JenikJon MerrillAndrej Sustr
Extra Forwards
Normal PowerPlayPenalty Kill
Justin Bailey, Justin Danforth, Jack McBainJustin Bailey, Justin DanforthJustin Bailey
Extra Defensemen
Normal PowerPlayPenalty Kill
Joel Hanley, Alex Petrovic, Tucker PoolmanScott HarringtonScott Harrington, Alex Petrovic
Penalty Shots
Victor Rask, Jan Jenik, A.J. Greer, Sam Carrick, Justin Bailey
Goalie
#1 : Karel Vejmelka, #2 : Connor Ingram
Custom OT Lines Forwards
Victor Rask, Jan Jenik, A.J. Greer, Jack McBain, Justin Bailey, Justin Danforth, Justin Danforth, Sam Carrick, Austin Wagner, Michael Dal Colle, Blake Speers
Custom OT Lines Defensemen
Jon Merrill, Andrej Sustr, Scott Harrington, Joel Hanley, Alex Petrovic


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
1Aces10001000321100010003210000000000021.0003690026281973932829033934301512202150.00%6183.33%1577110552.22%537101253.06%22542053.57%734511661216371188
2Barracuda420010101477210010006242100001085381.000142438002628197138328290339349436457116425.00%18288.89%1577110552.22%537101253.06%22542053.57%734511661216371188
3Devils1010000004-41010000004-40000000000000.000000002628197313282903393436141033200.00%5180.00%0577110552.22%537101253.06%22542053.57%734511661216371188
4Falcons11000000532000000000001100000053221.000510150026281973432829033934431018204250.00%9188.89%0577110552.22%537101253.06%22542053.57%734511661216371188
5Griffins1010000024-21010000024-20000000000000.000235002628197313282903393427712276116.67%5180.00%0577110552.22%537101253.06%22542053.57%734511661216371188
6Gulls2010001058-31010000015-41000001043120.50056110026281977232829033934742422467228.57%10280.00%0577110552.22%537101253.06%22542053.57%734511661216371188
7Heat21000010624110000004131000001021141.000610160026281975232829033934632328375120.00%120100.00%1577110552.22%537101253.06%22542053.57%734511661216371188
8Ice Hogs3210000010550000000000032100000105540.66710182800262819789328290339348025246611218.18%120100.00%0577110552.22%537101253.06%22542053.57%734511661216371188
9Monsters2110000034-1110000001011010000024-220.5003691126281977032829033934508832600.00%4175.00%0577110552.22%537101253.06%22542053.57%734511661216371188
10Moose10000010321000000000001000001032121.0003470026281973832829033934329222600.00%110.00%0577110552.22%537101253.06%22542053.57%734511661216371188
11Oil Kings11000000633110000006330000000000021.0006101600262819741328290339342274275120.00%220.00%0577110552.22%537101253.06%22542053.57%734511661216371188
12Phantoms1010000013-2000000000001010000013-200.000123002628197453282903393422128206116.67%4250.00%0577110552.22%537101253.06%22542053.57%734511661216371188
13Rampage20200000510-51010000025-31010000035-200.0005914002628197643282903393473241658500.00%8275.00%0577110552.22%537101253.06%22542053.57%734511661216371188
14Reign3110000178-1210000015501010000023-130.5007142100262819793328290339349033325714321.43%15286.67%0577110552.22%537101253.06%22542053.57%734511661216371188
15Senators11000000202110000002020000000000021.0002350126281974332829033934191012146116.67%60100.00%0577110552.22%537101253.06%22542053.57%734511661216371188
16Sound Tigers11000000312110000003120000000000021.000358002628197323282903393423132235120.00%10100.00%0577110552.22%537101253.06%22542053.57%734511661216371188
17Swamp Rabbits1010000034-1000000000001010000034-100.00036900262819728328290339343413620100.00%30100.00%0577110552.22%537101253.06%22542053.57%734511661216371188
18Wheat Kings1010000016-5000000000001010000016-500.0001230026281973332829033934315820400.00%4175.00%0577110552.22%537101253.06%22542053.57%734511661216371188
Total29111102041797631474020013532315470004044440350.60379138217122628197973328290339348432882696131112018.02%1251984.80%3577110552.22%537101253.06%22542053.57%734511661216371188
_Since Last GM Reset29111102041797631474020013532315470004044440350.60379138217122628197973328290339348432882696131112018.02%1251984.80%3577110552.22%537101253.06%22542053.57%734511661216371188
_Vs Conference227802041595811043020012424012350004035341270.6145910216111262819771932829033934644209209456821417.07%951386.32%3577110552.22%537101253.06%22542053.57%734511661216371188
_Vs Division14550103144321284201001251876130003019145190.679447411800262819747332829033934405147145280551221.82%641084.38%3577110552.22%537101253.06%22542053.57%734511661216371188

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2935SOW17913821797384328826961312
All Games
GPWLOTWOTL SOWSOLGFGA
29111120417976
Home Games
GPWLOTWOTL SOWSOLGFGA
147420013532
Visitor Games
GPWLOTWOTL SOWSOLGFGA
154700404444
Last 10 Games
WLOTWOTL SOWSOL
540010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1112018.02%1251984.80%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
328290339342628197
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
577110552.22%537101253.06%22542053.57%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
734511661216371188


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
3 - 2022-10-1217Barracuda1Marlies2BWXBoxScore
5 - 2022-10-1432Marlies4Barracuda2AWBoxScore
6 - 2022-10-1537Marlies2Ice Hogs3ALBoxScore
8 - 2022-10-1755Reign3Marlies2BLXXBoxScore
11 - 2022-10-2077Monsters0Marlies1BWBoxScore
13 - 2022-10-2288Marlies4Barracuda3AWXXBoxScore
15 - 2022-10-24104Gulls5Marlies1BLBoxScore
16 - 2022-10-25113Marlies3Rampage5ALBoxScore
17 - 2022-10-26129Marlies4Gulls3AWXXBoxScore
18 - 2022-10-27139Marlies2Monsters4ALBoxScore
20 - 2022-10-29150Heat1Marlies4BWBoxScore
22 - 2022-10-31161Marlies2Heat1AWXXBoxScore
24 - 2022-11-02180Barracuda1Marlies4BWBoxScore
26 - 2022-11-04193Marlies2Reign3ALBoxScore
28 - 2022-11-06209Griffins4Marlies2BLBoxScore
31 - 2022-11-09236Rampage5Marlies2BLBoxScore
32 - 2022-11-10242Marlies3Ice Hogs1AWBoxScore
35 - 2022-11-13265Senators0Marlies2BWBoxScore
38 - 2022-11-16280Aces2Marlies3BWXBoxScore
40 - 2022-11-18302Sound Tigers1Marlies3BWBoxScore
42 - 2022-11-20312Marlies1Phantoms3ALBoxScore
45 - 2022-11-23333Reign2Marlies3BWBoxScore
47 - 2022-11-25348Marlies5Ice Hogs1AWBoxScore
49 - 2022-11-27359Marlies5Falcons3AWBoxScore
50 - 2022-11-28369Marlies1Wheat Kings6ALBoxScore
53 - 2022-12-01387Oil Kings3Marlies6BWBoxScore
54 - 2022-12-02401Marlies3Swamp Rabbits4ALBoxScore
56 - 2022-12-04416Devils4Marlies0BLBoxScore
59 - 2022-12-07431Marlies3Moose2AWXXBoxScore
60 - 2022-12-08444Gulls-Marlies-
63 - 2022-12-11461Wolves-Marlies-
66 - 2022-12-14482Rocket-Marlies-
68 - 2022-12-16493Marlies-Barracuda-
70 - 2022-12-18512Admirals-Marlies-
74 - 2022-12-22534Marlies-Heat-
76 - 2022-12-24546Americans-Marlies-
77 - 2022-12-25556Marlies-Griffins-
79 - 2022-12-27572Marlies-Barracuda-
81 - 2022-12-29583Crunch-Marlies-
83 - 2022-12-31596Marlies-Heat-
85 - 2023-01-02613Americans-Marlies-
87 - 2023-01-04626Marlies-Penguins-
89 - 2023-01-06640Marlies-Barracuda-
90 - 2023-01-07648Heat-Marlies-
94 - 2023-01-11673Falcons-Marlies-
97 - 2023-01-14693Admirals-Marlies-
98 - 2023-01-15705Marlies-Bears-
102 - 2023-01-19727Moose-Marlies-
104 - 2023-01-21740Marlies-Wild-
106 - 2023-01-23757Bruins-Marlies-
108 - 2023-01-25770Marlies-Reign-
109 - 2023-01-26785Wheat Kings-Marlies-
111 - 2023-01-28795Marlies-Aces-
113 - 2023-01-30812Marlies-Ice Hogs-
115 - 2023-02-01822Ice Hogs-Marlies-
117 - 2023-02-03838Marlies-Wolves-
119 - 2023-02-05851Heat-Marlies-
121 - 2023-02-07869Marlies-Gulls-
123 - 2023-02-09882Reign-Marlies-
125 - 2023-02-11893Marlies-Wolfpack-
127 - 2023-02-13910Marlies-Aces-
129 - 2023-02-15918Wild-Marlies-
131 - 2023-02-17942Rampage-Marlies-
133 - 2023-02-19950Marlies-Reign-
135 - 2023-02-21964Marlies-Senators-
138 - 2023-02-24980Griffins-Marlies-
139 - 2023-02-25991Marlies-Gulls-
141 - 2023-02-271007Marlies-Rampage-
142 - 2023-02-281013Moose-Marlies-
145 - 2023-03-031032Marlies-Monsters-
146 - 2023-03-041043Monsters-Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2023-03-071068Gulls-Marlies-
152 - 2023-03-101087Marlies-Wheat Kings-
153 - 2023-03-111097Marlies-Admirals-
154 - 2023-03-121104Rampage-Marlies-
157 - 2023-03-151128Thunderbirds-Marlies-
161 - 2023-03-191151Griffins-Marlies-
163 - 2023-03-211161Marlies-Wolves-
166 - 2023-03-241182Barracuda-Marlies-
167 - 2023-03-251189Marlies-Wild-
171 - 2023-03-291211Marlies-Monsters-
172 - 2023-03-301219Marlies-Rampage-
174 - 2023-04-011230Barracuda-Marlies-
178 - 2023-04-051251Monsters-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price200100
Attendance18,9519,281
Attendance PCT67.68%66.29%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
28 2017 - 67.22% 421,277$5,897,875$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,039,244$ 3,380,000$ 3,390,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
18,778$ 957,293$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
11,795,750$ 121 20,167$ 2,440,207$




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