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Marlies
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Pascal Landry | Morale : 40 | Team Overall : 64
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Team Leaders

Team Stats
Team Info

General ManagerPascal Landry
CoachPeter DeBoer
DivisionFritz-Kraatz
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team31
Farm Team16
Contract Limit47 / 250
Prospects0


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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
1Nicholas Baptiste (R)X100.007640757977557377637676676551495040710212800,000$
2Colton Sissons (R)X100.007852727674717273777168697459493740700231900,000$
3Logan Brown (R)X100.007648677477588069607170595942427640660181500,000$
4Mathieu Olivier (R)X100.007543737280526865636867645943456440650191500,000$
5Tyler Benson (R)X100.007643676977557669556871645342427440650181500,000$
6Haydn Fleury (R)X100.0074359074776777694475628860614555407502011,200,000$
7Lucas Carlsson (R)X100.007238856869666363416252744844436840670191500,000$
Scratches
1Elias Pettersson (R)X100.005641829157726186727577668441428540720192500,000$
2Pavel Zacha (R)X100.007127846881727275767787617051457040720191950,000$
3Valentin Zykov (R)X100.007226807873817272637281617155494840710211900,000$
4Aleksi Saarela (R)X100.006625758263685875676872587649446940670193700,000$
5Martin Necas (R)X100.005535777049636562818470475240408540640182500,000$
6Alex Formenton (R)X100.006523795681616964596780455840408740630182500,000$
7Henri Ikonen (R)X100.007044636663487266576867604444443840620212550,000$
8Tobias Lindberg (R)X100.006842697058596561676162546444443840610212500,000$
9Jakob Forsbacka-Karlsson (R)X100.006738656755585354605168545344444940580203450,000$
10Otto Koivula (R)X100.005232625569665366655470446541416440580181500,000$
11Jaden Lindo (R)X100.006232615463525262505962505643434840560202350,000$
12Radovan Bondra (R)X100.006624575354435858376254504042424740520192350,000$
13Mike Hardman (R)X100.006131505967506255474848484940405940510182500,000$
14Marc McLaughlin (R)X100.004632644851565958515053366140406840500182500,000$
15Brett Pesce (R)X100.006630798372727777458265735561494340720221950,000$
16Jeff Corbett (R)X100.006735846354756864467274695551494240670222700,000$
17Pierre-Olivier Joseph (R)X100.004628788657596886348156664640409140650182500,000$
18Keaton Thompson (R)X100.006039727361607164497361725646464644650213600,000$
19Dennis Gilbert (R)X100.006936726556646350416651723743454540620202500,000$
20Dmitri Samorukov (R)X100.006023776456576342296345694040407340590182500,000$
21Brycen Martin (R)X100.005729616752444968236746653743435040580202350,000$
22Simon Bourque (R)X100.003931545645465854256139584442425140500191250,000$
TEAM AVERAGE100.00643572686460656653676461564644594063
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
Scratches
1Charlie Lindgren100.00747779596588776158777555495240690232750,000$
2Logan Thompson (R)100.00795370797863557067518644447240660202500,000$
TEAM AVERAGE100.0077657569727666666364815047624068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Peter DeBoer67717386546362Can563666,000$


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 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
Aleksi SaarelaMarlies (TOR)C191997-01-01Yes200 Lbs5 ft10NoNoNo3Pro & Farm700,000$700,000$0$0$No800,000$900,000$Link
Alex FormentonMarlies (TOR)LW181998-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Brett PesceMarlies (TOR)D221994-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink
Brycen MartinMarlies (TOR)D201996-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm350,000$350,000$0$0$No350,000$Link
Charlie LindgrenMarlies (TOR)G231993-01-01No180 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link
Colton SissonsMarlies (TOR)C231993-01-01Yes187 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink
Dennis GilbertMarlies (TOR)D201996-01-01Yes216 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Dmitri SamorukovMarlies (TOR)D181998-01-01Yes188 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Elias PetterssonMarlies (TOR)C191997-01-01Yes176 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Haydn FleuryMarlies (TOR)D201996-01-01Yes208 Lbs6 ft3NoNoNo1Pro & Farm1,200,000$1,200,000$0$0$NoLink
Henri IkonenMarlies (TOR)LW211995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm550,000$550,000$0$0$No550,000$
Jaden LindoMarlies (TOR)RW201996-01-01Yes215 Lbs6 ft2NoNoNo2Pro & Farm350,000$350,000$0$0$No350,000$Link
Jakob Forsbacka-KarlssonMarlies (TOR)C201996-01-01Yes184 Lbs6 ft1NoNoNo3Pro & Farm450,000$450,000$0$0$No500,000$550,000$Link
Jeff CorbettMarlies (TOR)D221994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$
Keaton ThompsonMarlies (TOR)D211995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm600,000$600,000$0$0$No600,000$600,000$
Logan BrownMarlies (TOR)C181998-01-01Yes227 Lbs6 ft6NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Logan ThompsonMarlies (TOR)G201996-01-01Yes201 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Lucas CarlssonMarlies (TOR)D191997-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Marc McLaughlinMarlies (TOR)C181998-01-01Yes210 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Martin NecasMarlies (TOR)RW181998-01-01Yes189 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Mathieu OlivierMarlies (TOR)RW191997-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Mike HardmanMarlies (TOR)LW181998-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Nicholas BaptisteMarlies (TOR)RW211995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$0$0$No900,000$Link
Otto KoivulaMarlies (TOR)LW181998-01-01Yes220 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Pavel ZachaMarlies (TOR)C191997-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink
Pierre-Olivier JosephMarlies (TOR)D181998-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Radovan BondraMarlies (TOR)RW191997-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm350,000$350,000$0$0$No350,000$Link
Simon BourqueMarlies (TOR)D191997-01-01Yes198 Lbs6 ft1NoNoNo1Pro & Farm250,000$250,000$0$0$NoLink
Tobias LindbergMarlies (TOR)RW211995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Tyler BensonMarlies (TOR)LW181998-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Valentin ZykovMarlies (TOR)LW211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3119.68197 Lbs6 ft21.74588,710$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Colton Sissons40122
2Nicholas Baptiste30122
3Logan BrownMathieu Olivier20122
4Tyler Benson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn Fleury40122
230122
3Lucas Carlsson20122
4Haydn Fleury10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Colton Sissons60122
2Nicholas Baptiste40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn Fleury60122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Colton Sissons60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn Fleury60122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Colton Sissons60122Haydn Fleury60122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Colton Sissons60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Haydn Fleury60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Colton SissonsHaydn Fleury
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Colton SissonsHaydn Fleury
Extra Forwards
Normal PowerPlayPenalty Kill
, , Logan Brown,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Lucas Carlsson,
Penalty Shots
, , Colton Sissons, Nicholas Baptiste,
Goalie
#1 : , #2 :


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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 Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,895,000$ 1,795,000$ 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

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