Marlies
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
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.

Team Leaders

Team Stats
Team Info

General ManagerGuillaume Jacob
CoachKirk Muller
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team28
Farm Team21
Contract Limit49 / 80
Prospects15


Team History

This Season0-0
History38-38-8 (0.452%)
Playoff Appearances0
Playoff Record (W-L)0-0
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 Cracknell (R)0X100.00763790658585906377666164628676075670363925,000$
2Kristian Vesalainen0XX100.00573592658581847058676261686366075650221920,000$
3Emile Poirier0XX100.00715670588082875653555756547367075600272850,000$
4Mason Jobst0XX100.00564284576571765974575856587367075600272700,000$
5Jake Lucchini0X100.00603591546981865455545654557166075590262700,000$
6Gerry Fitzgerald0X100.00623590546272775456535751567568075580282700,000$
7Mike Liambas0X100.00687957546975805352515455538072075580322700,000$
8Mitchell McLain0X100.00653662567469715462535755587568075580282700,000$
9Brian Lashoff0X100.00735178598676715830615665487977075630312700,000$
10Logan Day0X100.00705174647975805830625559487368075620272700,000$
11Josiah Didier0X100.00725769548174795430575257467568075590281975,000$
Scratches
1Adam Ruzicka0XXX100.00525966618776816373646162636461075620222925,000$
2Joseph LaBate0X100.00827157589179845861585863587568075620281975,000$
3Brent Pedersen0X100.00733593558268735753555456527165075600261700,000$
4Jarrett Burton0X100.00634681557276815254525553537971075590312700,000$
5Jacob Nilsson0XX100.00573986556688935559575553557568075590281700,000$
6Jacob Doty0XX100.00747154528360655358555657527568075580282700,000$
7Jacob Pritchard0X100.00643592537364695356555354537166075580262700,000$
8Parker MacKay0X100.00623589537076755250515453557367075580272700,000$
9Jarid Lukosevicius0X100.00584382536762675358525652557166075570262700,000$
10Calen Addison (R)0X100.00563594656983776630645862546163075630213925,000$
11Roland McKeown0X100.00674372627688935830605459466872075620251700,000$
12Philip Holm0X100.00663974597562675830625657487870075610302700,000$
13TJ Brennan0X100.00725664608166715830595256458072075600322700,000$
14Matt Mangene0X100.00613876597078735630595254468072075600322700,000$
TEAM AVERAGE100.0065467758767578575058565754746807560
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 Huska100.0070858389696870696870696771075630241700,000$
2Daniil Tarasov (R)100.0072788082717072717072716367075630223925,000$
Scratches
1Tom McCollum100.0068716984676668676668678086075630321999,000$
TEAM AVERAGE100.007078778569687069687069707507563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk Muller70696566837765CAN551600,000$


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
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


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)C367/15/1985Yes209 Lbs6 ft3NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Link
Adam HuskaMarlies (TOR)G245/12/1997No227 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Adam RuzickaMarlies (TOR)C/LW/RW225/11/1999No202 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Brent PedersenMarlies (TOR)LW267/5/1995No210 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Brian LashoffMarlies (TOR)D317/16/1990No213 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Calen AddisonMarlies (TOR)D214/11/2000Yes180 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Daniil TarasovMarlies (TOR)G225/27/1999Yes180 Lbs6 ft4NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Emile PoirierMarlies (TOR)LW/RW2712/14/1994No196 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Link / NHL Link
Gerry FitzgeraldMarlies (TOR)C288/26/1993No170 Lbs5 ft8NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Jacob DotyMarlies (TOR)C/RW286/19/1993No212 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Jacob NilssonMarlies (TOR)C/LW2810/12/1993No180 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Jacob PritchardMarlies (TOR)LW264/9/1995No193 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Jake LucchiniMarlies (TOR)LW265/9/1995No183 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Jarid LukoseviciusMarlies (TOR)RW262/5/1995No185 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Jarrett BurtonMarlies (TOR)C3112/30/1990No190 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Joseph LaBateMarlies (TOR)LW284/16/1993No210 Lbs6 ft5NoNoNo1Pro & Farm975,000$975,000$0$0$NoLink / NHL Link
Josiah DidierMarlies (TOR)D284/8/1993No202 Lbs6 ft2NoNoNo1Pro & Farm975,000$975,000$0$0$NoLink / NHL Link
Kristian VesalainenMarlies (TOR)LW/RW226/1/1999No207 Lbs6 ft3NoNoNo1Pro & Farm920,000$920,000$0$0$NoLink / NHL Link
Logan DayMarlies (TOR)D279/19/1994No209 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Mason JobstMarlies (TOR)C/LW272/17/1994No185 Lbs5 ft8NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Matt MangeneMarlies (TOR)D323/12/1989No190 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Mike LiambasMarlies (TOR)LW322/16/1989No195 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Mitchell McLainMarlies (TOR)C2812/9/1993No196 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Parker MacKayMarlies (TOR)RW276/10/1994No190 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Philip HolmMarlies (TOR)D3012/8/1991No190 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Roland McKeownMarlies (TOR)D251/20/1996No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$715,000$0$0$NoLink / NHL Link
TJ BrennanMarlies (TOR)D324/3/1989No216 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link / NHL Link
Tom McCollumMarlies (TOR)G3212/7/1989No220 Lbs6 ft2NoNoNo1Pro & Farm999,000$999,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2827.57198 Lbs6 ft11.82775,679$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kristian VesalainenAdam CracknellEmile Poirier40122
2Jake LucchiniMason JobstGerry Fitzgerald30122
3Mike LiambasMitchell McLain20122
4Adam CracknellGerry FitzgeraldKristian Vesalainen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brian LashoffLogan Day40122
2Josiah Didier30122
320122
4Brian LashoffLogan Day10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kristian VesalainenAdam CracknellEmile Poirier60122
2Jake LucchiniMason JobstGerry Fitzgerald40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brian LashoffLogan Day60122
2Josiah Didier40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam CracknellKristian Vesalainen60122
2Mason JobstEmile Poirier40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brian LashoffLogan Day60122
2Josiah Didier40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Adam Cracknell60122Brian LashoffLogan Day60122
2Kristian Vesalainen40122Josiah Didier40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adam CracknellKristian Vesalainen60122
2Mason JobstEmile Poirier40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brian LashoffLogan Day60122
2Josiah Didier40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kristian VesalainenAdam CracknellEmile PoirierBrian LashoffLogan Day
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kristian VesalainenAdam CracknellEmile PoirierBrian LashoffLogan Day
Extra Forwards
Normal PowerPlayPenalty Kill
Mitchell McLain, Mike Liambas, Jake LucchiniMitchell McLain, Mike LiambasJake Lucchini
Extra Defensemen
Normal PowerPlayPenalty Kill
, Josiah Didier, Brian LashoffJosiah Didier, Brian Lashoff
Penalty Shots
Adam Cracknell, Kristian Vesalainen, Mason Jobst, Emile Poirier, Jake Lucchini
Goalie
#1 : Daniil Tarasov, #2 : Adam Huska
Custom OT Lines Forwards
Adam Cracknell, Kristian Vesalainen, Mason Jobst, Emile Poirier, Jake Lucchini, Mitchell McLain, Mitchell McLain, Mike Liambas, Gerry Fitzgerald, ,
Custom OT Lines Defensemen
Brian Lashoff, Logan Day, , Josiah Didier,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,171,900$ 2,060,900$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 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 Cracknell8226689421201792863397.67%36194723.75214165610182260.33%00.9704
2Kristian Vesalainen823949881642817432911.85%29176021.4748126000038050.56%11.0003
3Jesse Puljujarvi57423274194317914238210.99%14141324.8055105500087349.91%41.0512
4Vitali Kravtsov7231346512171523568.71%26142719.8347115400023150.36%20.9101
5Adam Ruzicka56164157516471312027.92%12105318.8138112801101158.36%11.0800

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 Tarasov82383760.9023.6647260328829380230.72711
2Adam Huska80100.9322.7921500101470000.0000

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
2382323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508
Total Regular Season82323805313293304-11411814052111591471241142400102134157-2382293511804331109780631359991110100928308886857919602514517.93%2515578.09%21790311257.52%1661309853.62%740138253.55%1974139519485791025508

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