Marlies
GP: 82 | W: 41 | L: 36 | OTL: 5 | P: 87
GF: 332 | GA: 347 | PP%: 28.23% | PK%: 71.43%
GM : Guillaume Jacob | Morale : 75 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Marlies
41-36-5, 87pts
4
FINAL
3 Crunch
45-29-8, 98pts
Team Stats
W2StreakW1
20-17-4Home Record25-13-3
21-19-1Away Record20-16-5
3-5-2Last 10 Games6-3-1
4.05Goals Per Game3.89
4.23Goals Against Per Game3.54
28.23%Power Play Percentage26.80%
71.43%Penalty Kill Percentage77.83%
Marlies
41-36-5, 87pts
8
FINAL
1 Wolf Pack
48-26-8, 104pts
Team Stats
W2StreakL1
20-17-4Home Record28-11-2
21-19-1Away Record20-15-6
3-5-2Last 10 Games6-3-1
4.05Goals Per Game4.05
4.23Goals Against Per Game3.67
28.23%Power Play Percentage21.07%
71.43%Penalty Kill Percentage78.21%
Team Leaders
Wins
Pyotr Kochetkov
17
Alex LyonSave Percentage
Alex Lyon
0.911

Team Stats
Goals For
332
4.05 GFG
Shots For
3125
38.11 Avg
Power Play Percentage
28.2%
70 GF
Offensive Zone Start
40.9%
Goals Against
347
4.23 GAA
Shots Against
3031
36.96 Avg
Penalty Kill Percentage
71.4%
62 GA
Defensive Zone Start
38.9%
Team Info

General ManagerGuillaume Jacob
CoachBlaine Forsythe
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,955
Season Tickets300


Roster Info

Pro Team28
Farm Team21
Contract Limit49 / 80
Prospects32


Team History

This Season41-36-5 (87PTS)
History1086-941-216 (0.484%)
Playoff Appearances7
Playoff Record (W-L)25-37
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
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
1Adam Cracknell0X100.00763991668595886473656364617779075670372925,000$
2Adam Ruzicka (R)0XXX100.00763992679083756578666864676365075660231925,000$
3Byron Froese0XX100.00703987607887776378616268647176075640311750,000$
4Kristian Vesalainen (R)0XX100.00733988658670836459626163666467075640232903,000$
5Jake Lucchini0X100.00573684606985915962615855606769075610271700,000$
6Devante Smith-Pelly0X100.00703892547961765551565758537072075600301750,000$
7Donald Busdeker (R)0X100.00573878586681865762605657616365075600231750,000$
8Mason Jobst0XX100.00563884616574675965585753616870075600281700,000$
9Mitchell McLain0X100.00653463567480895458525953576971075590291700,000$
10Cole Coskey (R)0X100.00633791577266635651555254576365075580231750,000$
11Jarid Lukosevicius0X100.00583780556981775455535652536769075580271700,000$
12Calen Addison (R)0X100.00633487706784826730686762566264075650222925,000$
13Brian Lashoff0X100.00774283578665885630555458467277075610321700,000$
14Logan Day0X100.00633986577973895630595458476867075600281700,000$
15Roland McKeown (R)0X100.00673874587670895430595355466668075600263750,000$
16Matt Murphy (R)0X100.00713987568063655430595157456769075590273950,000$
17Matthew Robertson (R)0X100.00784182528770935130545257456163075590213950,000$
Scratches
1Vasily Ponomarev (R)0X100.00593789656879616472635962666162075620203950,000$
2Alex Gallant0XX100.00778659557069785457525351557072075580301750,000$
3Alexis D'Aoust0X100.00643795547371625354515651546668075580261750,000$
4Andre Lee0X100.00714273549175645358555059536264075580221750,000$
5Jacob Doty0XX100.00747156528365685351545556526971075580291700,000$
6Blake Christensen0X100.00573472556471625351525456536769075570271750,000$
7Ara Nazarian0X100.00573693546663615355525654566568075570261750,000$
8Benjamin Tardif0X100.00593792536963615254505155536164075560221750,000$
TEAM AVERAGE100.0066418258767476575357575755666907560
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
1Adam Huska (R)100.0074727389737274737274736573075650253852,000$
2Alex Lyon100.0075757678737274737274737084075650301750,000$
Scratches
1Pyotr Kochetkov (R)100.0072737284717072717072716369075630233950,000$
TEAM AVERAGE100.007473748472717372717372667507564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Blaine Forsythe67707365706579CAN471500,000$


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
1Byron FroeseMarlies (TOR)C/RW8152631152133513117843912131811.85%40178422.041014247019920261548261.10%50900021.29340019104
2Adam RuzickaMarlies (TOR)C/LW/RW6836599520315152210387962799.30%30157923.23412163915801171725457.07%185400011.2004010873
3Calen AddisonMarlies (TOR)D82286290-8180681622487315911.29%150198224.171616321102100110179300.00%100110.9101000344
4Jake LucchiniMarlies (TOR)LW82255277820065106269791969.29%15163919.9911920431920002441344.53%12800000.9423000243
5Logan DayMarlies (TOR)D821150616260889311741939.40%118172321.02411155118800001481050.00%200000.7100000114
6Donald BusdekerMarlies (TOR)RW82233558-20180135131255711899.02%17152118.55991851183000002141.23%11400010.7612000331
7Adam CracknellMarlies (TOR)C33223456-5135651291814514212.15%1685325.864101431930000835154.89%117700021.3111010502
8Vasily PonomarevMarlies (TOR)C57252752-8100581712136216111.74%17101617.83881626910003581054.28%128600011.0212000140
9Roland McKeownMarlies (TOR)D82133851276019287100286313.00%130171620.9371219541880000137100.00%000000.5900000202
10Brian LashoffMarlies (TOR)D81113445-5971522654102305610.78%105187223.1261117351920002145000.00%000000.4800111105
11Devante Smith-PellyMarlies (TOR)RW82202444-13240118102212701479.43%18115014.03000380000173044.04%10900000.7600000243
12Kristian VesalainenMarlies (TOR)LW/RW3518224041005751139359212.95%1166719.0606621810001423148.19%8300011.2003000300
13Matthew RobertsonMarlies (TOR)D8292635-246201595761184614.75%83127615.57011220000126010.00%000000.5500000014
14Matt MurphyMarlies (TOR)D6642024-88061624217319.52%72101015.3100034011153110.00%000000.4800000011
15Jarid LukoseviciusMarlies (TOR)RW7271118-910043829242737.61%474010.2800006000001047.97%54200000.4900000100
16Mason JobstMarlies (TOR)C/LW2811011-20013606917361.45%336613.07000000001160052.65%26400000.6000000000
17Mitchell McLainMarlies (TOR)C24549280412931112116.13%22229.2900000000000047.64%25400000.8100000000
18Benjamin TardifMarlies (TOR)LW37516-920332347134010.64%352914.30112748000031035.90%3900000.2300000011
19Ara NazarianMarlies (TOR)LW932502055169918.75%312413.7900000000061027.27%1100000.8100000001
20Alex GallantMarlies (TOR)C/LW1031438017111331223.08%1999.9400000000000055.56%4500000.8000000100
21Alexis D'AoustMarlies (TOR)RW38314-58021132871710.71%53007.92000020000141032.10%8100000.2700000110
22Blake ChristensenMarlies (TOR)LW16123-6002414567.14%0734.6201102000010150.00%1400000.8100000000
23Cole CoskeyMarlies (TOR)RW43033-3005169290.00%51964.5700018000080038.81%6700000.3111000000
24Andre LeeMarlies (TOR)LW1603306023145840.00%11257.8300000000060057.14%2100000.4800000000
Team Total or Average1288325584909-5949030177818503089903219910.52%8492257317.53701312015471882235241323381553.61%660100190.81921132434138
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
1Pyotr KochetkovMarlies (TOR)33171120.9043.231783209610050300.667123120101
2Alex LyonMarlies (TOR)1410300.9112.9178400384250100.0000140100
3Adam HuskaMarlies (TOR)84300.9063.5838620232450000.000087000
Team Total or Average55311720.9063.1929544015716750400.667125327201


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 AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam CracknellMarlies (TOR)C377/15/1985No209 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Adam HuskaMarlies (TOR)G255/12/1997Yes214 Lbs6 ft4NoNoNo3Pro & Farm852,000$852,000$0$0$No852,000$852,000$Link / NHL Link
Adam RuzickaMarlies (TOR)C/LW/RW235/11/1999Yes220 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink / NHL Link
Alex GallantMarlies (TOR)C/LW3012/8/1992No177 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Alex LyonMarlies (TOR)G3012/9/1992No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Alexis D'AoustMarlies (TOR)RW264/3/1996No205 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Andre LeeMarlies (TOR)LW227/26/2000No206 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Ara NazarianMarlies (TOR)LW266/1/1996No185 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Benjamin TardifMarlies (TOR)LW221/24/2000No192 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Blake ChristensenMarlies (TOR)LW279/15/1995No174 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Brian LashoffMarlies (TOR)D327/16/1990No213 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Byron FroeseMarlies (TOR)C/RW313/12/1991No202 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Calen AddisonMarlies (TOR)D224/11/2000Yes173 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Cole CoskeyMarlies (TOR)RW236/1/1999Yes190 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Devante Smith-PellyMarlies (TOR)RW306/14/1992No223 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Donald BusdekerMarlies (TOR)RW239/25/1999Yes180 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Jacob DotyMarlies (TOR)C/RW296/19/1993No212 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Jake LucchiniMarlies (TOR)LW275/9/1995No183 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Jarid LukoseviciusMarlies (TOR)RW272/5/1995No185 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Kristian VesalainenMarlies (TOR)LW/RW236/1/1999Yes207 Lbs6 ft3NoNoNo2Pro & Farm903,000$903,000$0$0$No903,000$Link / NHL Link
Logan DayMarlies (TOR)D289/19/1994No209 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Mason JobstMarlies (TOR)C/LW282/17/1994No185 Lbs5 ft8NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Matt MurphyMarlies (TOR)D275/1/1995Yes197 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Matthew RobertsonMarlies (TOR)D219/1/2001Yes201 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Mitchell McLainMarlies (TOR)C2912/9/1993No196 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Pyotr KochetkovMarlies (TOR)G236/25/1999Yes205 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Roland McKeownMarlies (TOR)D261/20/1996Yes195 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Link / NHL Link
Vasily PonomarevMarlies (TOR)C203/13/2002Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2826.32197 Lbs6 ft11.54793,929$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam RuzickaAdam CracknellKristian Vesalainen40122
2Jake LucchiniByron FroeseDonald Busdeker30122
3Mason JobstDevante Smith-Pelly20122
4Adam CracknellMitchell McLainCole Coskey10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff40122
2Roland McKeownLogan Day30122
3Matthew RobertsonMatt Murphy20122
4Calen AddisonBrian Lashoff10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam RuzickaAdam CracknellKristian Vesalainen60122
2Jake LucchiniByron FroeseDonald Busdeker40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff60122
2Roland McKeownLogan Day40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam CracknellAdam Ruzicka60122
2Kristian VesalainenByron Froese40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff60122
2Roland McKeownLogan Day40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Adam Cracknell60122Calen AddisonBrian Lashoff60122
2Adam Ruzicka40122Roland McKeownLogan Day40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adam CracknellAdam Ruzicka60122
2Kristian VesalainenByron Froese40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calen AddisonBrian Lashoff60122
2Roland McKeownLogan Day40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Adam RuzickaAdam CracknellKristian VesalainenCalen AddisonBrian Lashoff
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Adam RuzickaAdam CracknellKristian VesalainenCalen AddisonBrian Lashoff
Extra Forwards
Normal PowerPlayPenalty Kill
Jarid Lukosevicius, , Mason JobstJarid Lukosevicius, Mason Jobst
Extra Defensemen
Normal PowerPlayPenalty Kill
Matthew Robertson, Matt Murphy, Roland McKeownMatthew RobertsonMatt Murphy, Roland McKeown
Penalty Shots
Adam Cracknell, Adam Ruzicka, Kristian Vesalainen, Byron Froese,
Goalie
#1 : Alex Lyon, #2 : Adam Huska
Custom OT Lines Forwards
Adam Cracknell, Adam Ruzicka, Kristian Vesalainen, Byron Froese, , Jake Lucchini, Jake Lucchini, Mason Jobst, Donald Busdeker, Devante Smith-Pelly, Mitchell McLain
Custom OT Lines Defensemen
Calen Addison, Brian Lashoff, Roland McKeown, Logan Day, Matthew Robertson


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
1Admirals2110000078-1110000003121010000047-320.50071421001151139616769501084105459611414509111.11%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
2Americans321000001314-121100000811-31100000053240.667132336001151139616100950108410545910223294711327.27%12466.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
3Barracuda220000001156110000005231100000063341.0001121320011511396167095010841054596229123611436.36%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
4Bears31200000815-721100000710-31010000015-420.333814220011511396168495010841054591132926667114.29%13469.23%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
5Bruins422000001519-42110000069-321100000910-140.500152237001151139616157950108410545917345338913538.46%14564.29%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
6Checkers413000001322-920200000513-82110000089-120.25013233600115113961612795010841054591504634891616.25%16568.75%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
7Comets21100000914-51010000039-61100000065120.5009172600115113961676950108410545980152519333.33%10100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
8Condors2100000111921000000167-11100000052330.750111829001151139616649501084105459802416395240.00%5260.00%11590302052.65%1461287250.87%792149852.87%1983138419305811049526
9Crunch32001000155101100000041321001000114761.0001528430011511396161389501084105459942820726233.33%9366.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
10Devils3210000014951010000056-12200000093640.6671427410011511396161779501084105459983512829333.33%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
11Eagles21100000880110000006421010000024-220.5008142200115113961676950108410545973222468225.00%10100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
12Firebirds21001000963110000005321000100043141.0009162500115113961678950108410545973238456116.67%4250.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
13Griffins4210000123185210000011174211000001211150.62523426500115113961616995010841054591705223878337.50%8187.50%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
14Gulls20200000611-51010000034-11010000037-400.00061218001151139616859501084105459881412466116.67%6266.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
15IceHogs2010001029-7100000102111010000008-820.50022400115113961657950108410545973132048500.00%8362.50%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
16Monsters30201000812-42020000049-51000100043120.3338142200115113961611495010841054591093322772150.00%11372.73%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
17Moose200011007701000010034-11000100043130.750713200011511396168295010841054597527851300.00%20100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
18Penguins31200000913-4110000005412020000049-520.333917260011511396161029501084105459933312748450.00%6183.33%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
19Phantoms312000001619-320200000615-911000000104620.333162743001151139616128950108410545913735307010220.00%14564.29%11590302052.65%1461287250.87%792149852.87%1983138419305811049526
20Reign2020000039-61010000003-31010000036-300.000347001151139616539501084105459832714326116.67%6266.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
21Roadrunners220000001486110000009541100000053241.000142640001151139616115950108410545964208537342.86%4325.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
22Rocket413000001521-621100000912-32020000069-320.250152540001151139616143950108410545914154247311327.27%12833.33%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
23Senators42100100171612200000011832010010068-250.6251730470011511396161609501084105459148391210313861.54%6350.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
24Silver Knights2010100011110100010006511010000056-120.500112031001151139616639501084105459752984410330.00%4250.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
25Sound Tigers330000002191222000000144101100000075261.0002135560011511396161659501084105459105266606116.67%3166.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
26Stars21100000710-3110000006421010000016-520.50071320001151139616699501084105459801812374125.00%5180.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
27Thunderbirds211000007701010000034-11100000043120.50071320001151139616619501084105459811910477342.86%40100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
28Wild201010006601010000023-11000100043120.50061218001151139616759501084105459601326347228.57%6266.67%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
29Wolf Pack3120000010731010000023-12110000084420.3331019290011511396169195010841054591263318696350.00%80100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
30Wolves30200001815-71000000145-120200000410-610.1678162400115113961686950108410545910231195812216.67%60100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
31Wranglers21000010954100000104311100000052341.00091423001151139616849501084105459621910497114.29%50100.00%01590302052.65%1461287250.87%792149852.87%1983138419305811049526
Total82333606223332347-1541171701123167179-1241161905100165168-3870.53033259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
_Since Last GM Reset82333606223332347-1541171701123167179-1241161905100165168-3870.53033259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
_Vs Conference4623200210019819712312110000099113-142311902100998415510.55419834954700115113961618419501084105459169748427410431384331.16%1284465.63%11590302052.65%1461287250.87%792149852.87%1983138419305811049526
_Vs Division2611702100111115-41364000005461-713530210057543270.5191111933040011511396169949501084105459978287175560782532.05%772962.34%01590302052.65%1461287250.87%792149852.87%1983138419305811049526

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8287W233259192331253031868502182400
All Games
GPWLOTWOTL SOWSOLGFGA
8233366223332347
Home Games
GPWLOTWOTL SOWSOLGFGA
4117171123167179
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4116195100165168
Last 10 Games
WLOTWOTL SOWSOL
350101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2487028.23%2176271.43%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
95010841054591151139616
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1590302052.65%1461287250.87%792149852.87%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1983138419305811049526


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
2 - 2022-10-126Marlies2Rocket4ALBoxScore
3 - 2022-10-1315Bears9Marlies4BLBoxScore
5 - 2022-10-1530Senators6Marlies7BWBoxScore
7 - 2022-10-1740Roadrunners5Marlies9BWBoxScore
10 - 2022-10-2061Stars4Marlies6BWBoxScore
12 - 2022-10-2278Marlies4Moose3AWXBoxScore
14 - 2022-10-2496Marlies5Silver Knights6ALBoxScore
17 - 2022-10-27119Marlies6Barracuda3AWBoxScore
19 - 2022-10-29130Marlies3Reign6ALBoxScore
20 - 2022-10-30142Marlies3Gulls7ALBoxScore
23 - 2022-11-02159Phantoms10Marlies3BLBoxScore
26 - 2022-11-05180Bruins6Marlies2BLBoxScore
27 - 2022-11-06191Marlies2Wolves7ALBoxScore
29 - 2022-11-08201Silver Knights5Marlies6BWXBoxScore
32 - 2022-11-11221Penguins4Marlies5BWBoxScore
33 - 2022-11-12230Comets9Marlies3BLBoxScore
36 - 2022-11-15251Marlies2Penguins3ALBoxScore
38 - 2022-11-17264Devils6Marlies5BLBoxScore
40 - 2022-11-19277Americans9Marlies4BLBoxScore
42 - 2022-11-21295Sound Tigers2Marlies8BWBoxScore
44 - 2022-11-23309Marlies6Devils2AWBoxScore
46 - 2022-11-25321Marlies4Wild3AWXBoxScore
47 - 2022-11-26335Marlies2Penguins6ALBoxScore
49 - 2022-11-28348Marlies7Griffins5AWBoxScore
51 - 2022-11-30363Barracuda2Marlies5BWBoxScore
54 - 2022-12-03385Marlies7Crunch1AWBoxScore
57 - 2022-12-06409Marlies1Stars6ALBoxScore
59 - 2022-12-08420Reign3Marlies0BLBoxScore
61 - 2022-12-10438Wranglers3Marlies4BWXXBoxScore
64 - 2022-12-13454Gulls4Marlies3BLBoxScore
66 - 2022-12-15476Marlies0Wolf Pack3ALBoxScore
68 - 2022-12-17491Marlies1Bears5ALBoxScore
71 - 2022-12-20513Crunch1Marlies4BWBoxScore
73 - 2022-12-22525Phantoms5Marlies3BLBoxScore
78 - 2022-12-27553Marlies4Thunderbirds3AWBoxScore
80 - 2022-12-29572Marlies5Roadrunners3AWBoxScore
82 - 2022-12-31582Marlies2Eagles4ALBoxScore
85 - 2023-01-03602Thunderbirds4Marlies3BLBoxScore
87 - 2023-01-05615Firebirds3Marlies5BWBoxScore
89 - 2023-01-07630Griffins1Marlies6BWBoxScore
90 - 2023-01-08643Marlies10Phantoms4AWBoxScore
93 - 2023-01-11658Admirals1Marlies3BWBoxScore
94 - 2023-01-12666Marlies5Griffins6ALBoxScore
96 - 2023-01-14683Marlies3Bruins5ALBoxScore
99 - 2023-01-17706Checkers4Marlies2BLBoxScore
101 - 2023-01-19723Moose4Marlies3BLXBoxScore
103 - 2023-01-21737Marlies4Rocket5ALBoxScore
105 - 2023-01-23752Sound Tigers2Marlies6BWBoxScore
107 - 2023-01-25767Wolf Pack3Marlies2BLBoxScore
109 - 2023-01-27782Senators2Marlies4BWBoxScore
111 - 2023-01-29800Bears1Marlies3BWBoxScore
114 - 2023-02-01806Bruins3Marlies4BWBoxScore
123 - 2023-02-10829Marlies4Monsters3AWXBoxScore
124 - 2023-02-11840Monsters4Marlies2BLBoxScore
128 - 2023-02-15864IceHogs1Marlies2BWXXBoxScore
131 - 2023-02-18888Rocket2Marlies3BWBoxScore
132 - 2023-02-19899Marlies0IceHogs8ALBoxScore
134 - 2023-02-21912Marlies5Americans3AWBoxScore
137 - 2023-02-24931Wild3Marlies2BLBoxScore
139 - 2023-02-26952Marlies4Firebirds3AWXBoxScore
142 - 2023-03-01969Marlies5Condors2AWBoxScore
143 - 2023-03-02979Marlies5Wranglers2AWBoxScore
145 - 2023-03-04994Marlies6Comets5AWBoxScore
148 - 2023-03-071015Marlies3Devils1AWBoxScore
152 - 2023-03-111043Condors7Marlies6BLXXBoxScore
154 - 2023-03-131061Americans2Marlies4BWBoxScore
156 - 2023-03-151077Eagles4Marlies6BWBoxScore
158 - 2023-03-171092Wolves5Marlies4BLXXBoxScore
159 - 2023-03-181102Marlies2Senators3ALBoxScore
162 - 2023-03-211127Marlies7Sound Tigers5AWBoxScore
164 - 2023-03-231140Marlies6Checkers4AWBoxScore
166 - 2023-03-251161Marlies2Wolves3ALBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
167 - 2023-03-261167Marlies4Admirals7ALBoxScore
170 - 2023-03-291186Checkers9Marlies3BLBoxScore
173 - 2023-04-011210Marlies4Senators5ALXBoxScore
174 - 2023-04-021223Griffins6Marlies5BLXXBoxScore
176 - 2023-04-041230Monsters5Marlies2BLBoxScore
178 - 2023-04-061246Marlies6Bruins5AWBoxScore
180 - 2023-04-081263Rocket10Marlies6BLBoxScore
182 - 2023-04-101279Marlies2Checkers5ALBoxScore
183 - 2023-04-111289Marlies4Crunch3AWXBoxScore
185 - 2023-04-131304Marlies8Wolf Pack1AWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2515
Attendance80,66840,469
Attendance PCT98.38%98.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2955 - 98.49% 79,992$3,279,669$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,703,106$ 2,223,000$ 2,223,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
12,016$ 2,188,217$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 14,719$ 0$




Marlies Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Adam Cracknell6675212855427670169616331456423295276407.70%293215861023.761661144131045678108164816716360.30%20.971325
2Kristian Vesalainen674332074022722913033742414143152708311.84%237714458021.443266629884914000248654250.56%831.000249
3Jesse Puljujarvi46173402259259941539348314499115023094210.99%113411449624.80405405810445500064856724349.91%3241.0581162
4Vitali Kravtsov588725182773529184176145212370289438.70%211011634419.7632557389843820001622438150.35%1620.91082
5Adam Ruzicka46861359341247714221371408411034170097.99%10258834418.852506649142327082827908558.28%821.0818

Marlies Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Daniil Tarasov6642307829974860.9023.6638285502432332823797801622430.727891
2Kristers Gudlevskis24212480170.9152.6913464231260370762510960.74370
3Michael Leighton138894060.9132.438042101732637650310.66736
4Justin Pogge1516858220.9083.04895134445349242536910.70872
5Adam Huska7866314190.9233.06251771651282166730110.78919

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
Regular Season
5804030011262762591740279000131501005040132101113126159-3393276465741170689710827460748100098226601002160120112255524.44%2204679.09%4739162445.50%806170247.36%627130747.97%1478685192410021731820
68039270325430726047402211030131641323240171600241143128151003074998061207911710327900886960922238983898722572166530.09%2335377.25%6864178148.51%802171046.90%666133250.00%1628817385720421692827
776312801655223219438141500414103110-738171301241120109118522335057303056768520230635681681230873068217791434531.47%1943780.93%6744141052.77%746150149.70%569108052.69%143364614967861687846
876283002745240251-1138131601233106117-1138151401512134134080240378618130511018224230750852793251980598518891714023.39%2316472.29%4837167350.03%896174051.49%572110451.81%147571615457711592790
980273803327260297-3740161901103137143-640111902224123154-31742604136731006292101275307671023942268989382422091954523.08%2204878.18%6943190449.53%938182451.43%616119651.51%162382215907991642810
1080352502657220208124016120134410710344019130131311310589722034656605040938024650694906829259887059620141883820.21%1983681.82%4899171352.48%896177450.51%506102249.51%153671016118321727860
11802334061124190232-424013160541199105-64010180171391127-367719030249265029668719950500685777245482559317831685633.33%2115872.51%4767147152.14%768161147.67%44597745.55%146061115948381809918
1276253700725211252-4138131600423108119-1138122100302103133-306621134755843033977924930673955840250084966120662116028.44%2396971.13%4859168950.86%824163450.43%510104648.76%147669915317881602785
1380233402795202245-4340121801252105126-214011160154397119-228020231251432050707122730638756847265991059419111564226.92%2325675.86%5781156549.90%910184049.46%499103748.12%146764416468481766878
1480283903316234267-3340112201015115134-1940171702301119133-147323438161532049988324210678886830265384066219151936734.72%1664970.48%2864166951.77%813166048.98%558111949.87%150770216188201715861
15803327042862932642940191001163153131224014170312314013379829349478742074119883249010331229962290391146622522076229.95%1443675.00%31010199050.75%921183350.25%596120549.46%172995115927771568773
167635220426722919138382160223412589363814160203310410229922939862709081667224640833773823201954036613282755921.45%1673678.44%11367258252.94%1178225852.17%591111553.00%190713311738562993505
1780363201524219201184018160120310810264018160032111199128721940262125088745425000831814835229767339114652505220.80%1823282.42%11425270352.72%1311253151.80%650123152.80%1948133918345901056534
18765019030222511569538241002011124804438269010111277651112251454705014098816725600846865837197561228413072405121.25%1322382.58%21447260555.55%1164219153.13%659117656.04%197614011626531984519
198237310633226524223412110042311431123141162102101122130-89726548875323098797923350757794754248874948014931954824.62%1924576.56%21241249649.72%1207264645.62%659133149.51%1934133119586061078535
20823237034242512456411717022121361231341152001212115122-78225144569604097767327220915857934260773871720293036722.11%3187277.36%41542299351.52%1437290049.55%649127350.98%1925131419656291067531
2182363502405289305-1641191901101147148-141171601304142157-15852895338222101071037732000101311111046297387754319722244118.30%2235077.58%11628310652.41%1514299150.62%762140354.31%1989140819345761030522
22823338033322992909412115023001531252841122301032146165-1983299522821040131857730640100110221016308989853920352395020.92%2365277.97%21613309452.13%1595315250.60%703136051.69%1953136119615941040515
2382323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
2382323805313293304-11411814052111591471241142400102134157-238229351180433011097803135099911101009308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
202282333606223332347-1541171701123167179-1241161905100165168-38733259192300115113961631259501084105459303186850218242487028.23%2176271.43%21590302052.65%1461287250.87%792149852.87%1983138419305811049526
Total Regular Season224891294101001057411674287467-39112449640007452445838813601280112441654102653305835473866-31923937428127192014757101335236825252054778162948244952701122828766032324017684531796306141822.49%6214141977.16%81372706909653.94%351366825251.48%182893525051.88%502093144352498201943606317937
Playoff
5734000001314-1321000007524130000069-361323360102641950438663193796713920840.00%17476.47%05713043.85%7115147.02%498259.76%121512067108115873
6136700000505007520000030246615000002026-6125083133000111920462013217315752619617832525624.00%361072.22%014030346.20%15934845.69%10823845.38%24913141492166238116
1040400000616-102020000039-62020000037-4068142002311510624049158543710010440.00%8362.50%05911252.68%519951.52%306347.62%824480377739
151367000004346-3624000001619-3743000002727012436811100012131651501761791444941829633135822.86%35974.29%217834152.20%17334749.86%9118948.15%284151272132261131
1640400000512-72020000036-32020000026-40510150003201020313435146293971700.00%15473.33%07013153.44%9016554.55%406561.54%8757107325425
181156000003133-26330000017161523000001417-31031588910010108359093122106335916819435514.29%32681.25%322239156.78%21638056.84%10720053.50%3002112728815777
201055000002833-5422000001314-1633000001519-41028487600012673360123100100349103119258511019.61%431369.77%020740251.49%18038546.75%7716945.56%2301532507913261
Total Playoff62253700000176204-28301416000008993-43211210000087111-245017629847431052595621200660734654220173460414181834122.40%1864973.66%5933181051.55%940187550.13%502100649.90%1356802720136181080525

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
1Joel Perrault139122141925476813.24%1628722.14033100030149.22%01.4600
2Justin Abdelkader13712193239296610.61%1931824.53213801101150.84%01.1900
3Andy Wozniewski3299184423377312.33%1754116.932571200012152.27%00.6600
4Kerby Rychel2121214281939613.28%739118.66022910110038.46%00.7100
5Jeff Taffe1359140622214710.64%1126220.16022500010053.40%01.0700

Marlies Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Justin Pogge136700.9043.977410049513262000.0000
2Kristers Gudlevskis155720.9133.048896145515196100.0000
3Anders Lindback105410.9053.2361420333490100.0000
4Michael Leighton104410.8953.0754800282660010.0000
5Justin Pogge73400.9272.0042101141930000.0000