MarliesToronto Marlies
12-5-0, 24pts · 1st in Conference 1
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Hendrix Lapierre0C/RW100.006340827676787268606962666962531506723975,000$/1yrs
Blake Wheeler (C)0RW100.0059437061747379675364616063917815065381,000,000$/1yrs
Patrick Brown0C/LW/RW100.0063437266677272656564596563836315064331,000,000$/1yrs
Nikita Alexandrov0C/LW/RW100.0064417570687065666063616265575015063241,000,000$/4yrs
Jake Lucchini0C100.0055437068637470656163615865625315062301,000,000$/3yrs
Georgii Merkulov0C100.005741736961656466466661606552501506224975,000$/1yrs
Ryan Greene (R)0C100.005640696971755962465959616451501506121950,000$/2yrs
Brett Seney0LW100.005246636852706964476558556359541506029975,000$/1yrs
Dominic Toninato0C/RW100.0054486262627069636160585261655915060311,275,000$/3yrs
Jujhar Khaira (A)0C100.0064456760716967606058545958805515060301,250,000$/2yrs
Ville Koivunen0RW100.005743626758626162436260596350501506022975,000$/2yrs
Jani Nyman (R)0RW100.006442656267585762425962596250501505920975,000$/3yrs
Vincent Iorio (R)0D100.006642706668636163405955686150501506222975,000$/3yrs
William Wallinder0D100.006341736566636262406054636050501506122975,000$/2yrs
Dillon Heatherington0D100.0064446760717170604053536458635715061301,000,000$/2yrs
Ronnie Attard (A)0D100.0062496165686765634058586362545015061261,000,000$/4yrs
Scooter Brickey0D100.0065416861706461564052516656535015060261,000,000$/1yrs
Tommy Miller0D100.006041726663656257405151645854501505926975,000$/1yrs
Scratches
Mason Jobst0C100.0053446665577372646262605563655815061313,000,000$/1yrs
Martin Frk0RW100.005244575958656560436059536060531505831975,000$/1yrs
Zac Dalpe0C100.0055426561626867585554545658736915058351,000,000$/1yrs
Carl Berglund0C100.0062407162646462575454525857525015057251,000,000$/1yrs
Carsen Twarynski0LW100.006143696164666359425353565855501505727975,000$/1yrs
Matyas Sapovaliv (R)0C100.005941686063626160415557545850501505721803,333$/2yrs
Sam Honzek (R)0LW100.006241676262585660425855595950501505720975,000$/3yrs
Ty Glover0C100.006442716267636057465252585752501505724975,000$/1yrs
C.J. Smith0C/LW/RW100.005441656056626057425652575660531505630975,000$/1yrs
Chad Hillebrand0C/LW/RW100.0059426358626261564054545656525015056261,000,000$/1yrs
Miko Matikka (R)0RW100.006040675962595755405453545650501505521870,000$/2yrs
Jaydon Dureau0LW100.005540646056575553405151535451501505324975,000$/2yrs
Anton Malmström0D100.0063407061676259554052526256525015058251,000,000$/1yrs
Garrett Pyke0D100.0059406762626260574054536057525015058251,000,000$/1yrs
Tyson Feist0D100.006441626268615853405151635552501505824975,000$/1yrs
Alec Regula0D100.0061425757635755554054526155515015057241,400,000$/1yrs
Darren Brady0D100.0055406459586058534051506054565015056291,000,000$/1yrs
Joakim Ryan0D100.0051416757566565564051525255605315055321,000,000$/1yrs
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Joel Blomqvist099.007367687671717070737168525015065231,400,000$/4yrs
Nikke Kokko0100.00686163646668706869665650501506121975,000$/3yrs
Scratches
Magnus Chrona0100.00696365696867696667675552501506124975,000$/2yrs
Domenic DiVincentiis0100.00676162656566686666645650501506021975,000$/2yrs
Jiri Patera0100.006660596764626460636353545015058261,000,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato7169717083671USA5711,500,000$
General Manager
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Nikita AlexandrovMarliesMarlies (TOR)C/LW/RW1775121202341152717.07%218.37022000173254.80%100.71000.77
2Hendrix LapierreMarliesMarlies (TOR)C/RW173912-300304817366.25%617.8813400090052.15%000.71000.74
3Brett SeneyMarliesMarlies (TOR)LW17246200223318226.06%017.2701100070160.00%000.35000.50
4Blake WheelerMarliesMarlies (TOR)RW17336-19525537225.66%420.3211200002181.25%000.35000.44
5Jani NymanMarliesMarlies (TOR)RW951646082381621.74%112.0100000001050.00%000.67000.79
6Jujhar KhairaMarliesMarlies (TOR)C17156400262913103.45%614.03000000180063.28%000.35000.53
7Jake LucchiniMarliesMarlies (TOR)C174152202140142710.00%515.8410100061044.44%000.29000.48
8Ronnie AttardMarliesMarlies (TOR)D17145-24027211374.76%1324.4800000016100.00%000.29000.28
9Georgii MerkulovMarliesMarlies (TOR)C1741502020419189.76%717.7210100001140.00%000.29000.44
10Patrick BrownMarliesMarlies (TOR)C/LW/RW17134-32020549261.85%717.2300000040173.33%000.24000.40
11Ryan GreeneMarliesMarlies (TOR)C1713447516269153.85%012.6900000001050.00%000.24000.32
12Vincent IorioMarliesMarlies (TOR)D1713400019218104.76%1421.0610100019000.00%000.24000.32
13Scooter BrickeyMarliesMarlies (TOR)D170335202115630.00%1216.320000002000.00%000.18000.32
14William WallinderMarliesMarlies (TOR)D171231201796411.11%1319.4100000013100.00%000.18000.22
15Tommy MillerMarliesMarlies (TOR)D17033500109220.00%1418.170000000000.00%000.18000.30
16Dominic ToninatoMarliesMarlies (TOR)C/RW171121402012568.33%314.8200000001066.67%000.12000.14
17Ville KoivunenMarliesMarlies (TOR)RW170111201023390.00%17.180000000000.00%000.06000.15
18Mason JobstMarliesMarlies (TOR)C800000010000.00%01.320000000000.00%000.00000.00
19Dillon HeatheringtonMarliesMarlies (TOR)D17000-1202714490.00%2221.6700000013000.00%000.00000.11
Team Total or Average3063552872046103635121662696.84%13016.75571237800013012654.12%78912275100.3400
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
1Joel BlomqvistMarliesMarlies (TOR)1712500.9171.5710310327327172000.0000170210
Team Total or Average1712500.9171.5710310327327172000.0000170210
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Alec Regula D241,400,000$1,400,000$ RFA
Anton Malmström D251,000,000$1,000,000$ RFA
Blake Wheeler RW381,000,000$1,000,000$ UFA
Brett Seney LW29975,000$975,000$ UFA
C.J. Smith C/LW/RW30975,000$975,000$ UFA
Carl Berglund C251,000,000$1,000,000$ RFA
Carsen Twarynski LW27975,000$975,000$ UFA
Chad Hillebrand C/LW/RW261,000,000$1,000,000$ UFA
Darren Brady D291,000,000$1,000,000$ UFA
Dillon Heatherington D301,000,000$1,000,000$ 1,000,000$ UFA
Domenic DiVincentiis G21975,000$975,000$ 975,000$ RFA
Dominic Toninato C/RW311,275,000$1,275,000$ 1,275,000$ 1,275,000$ UFA
Garrett Pyke D251,000,000$1,000,000$ RFA
Georgii Merkulov C24975,000$975,000$ RFA
Hendrix Lapierre C/RW23975,000$975,000$ RFA
Jake Lucchini C301,000,000$1,000,000$ 1,000,000$ 1,000,000$ UFA
Jani Nyman RW20975,000$975,000$ 975,000$ 975,000$ RFA
Jaydon Dureau LW24975,000$975,000$ 975,000$ RFA
Jiri Patera G261,000,000$1,000,000$ 1,000,000$ UFA
Joakim Ryan D321,000,000$1,000,000$ UFA
Joel Blomqvist G231,400,000$1,400,000$ 1,400,000$ 1,400,000$ 1,400,000$ UFA
Jujhar Khaira C301,250,000$1,250,000$ 1,250,000$ UFA
Magnus Chrona G24975,000$975,000$ 975,000$ RFA
Martin Frk RW31975,000$975,000$ UFA
Mason Jobst C313,000,000$3,000,000$ UFA
Matyas Sapovaliv C21803,333$975,000$ 975,000$ RFA
Miko Matikka RW21870,000$975,000$ 975,000$ RFA
Nikita Alexandrov C/LW/RW241,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Nikke Kokko G21975,000$975,000$ 975,000$ 975,000$ RFA
Patrick Brown C/LW/RW331,000,000$1,000,000$ UFA
Ronnie Attard D261,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Ryan Greene C21950,000$975,000$ 975,000$ RFA
Sam Honzek LW20975,000$975,000$ 975,000$ 975,000$ RFA
Scooter Brickey D261,000,000$1,000,000$ RFA
Tommy Miller D26975,000$975,000$ UFA
Ty Glover C24975,000$975,000$ RFA
Tyson Feist D24975,000$975,000$ RFA
Ville Koivunen RW22975,000$975,000$ 975,000$ RFA
Vincent Iorio D22975,000$975,000$ 975,000$ 975,000$ RFA
William Wallinder D22975,000$975,000$ 975,000$ RFA
Zac Dalpe C351,000,000$1,000,000$ UFA

Lines
Forward Lines


# - Georgii Merkulov


# - Hendrix Lapierre


# - Blake Wheeler


# - Brett Seney


# - Nikita Alexandrov


# - Patrick Brown


# - Dominic Toninato


# - Jake Lucchini


# - Ville Koivunen


# - Ryan Greene


# - Jujhar Khaira


# - Jani Nyman

Defensive Pairings


# - Ronnie Attard


# - Dillon Heatherington


# - William Wallinder


# - Vincent Iorio


# - Scooter Brickey


# - Tommy Miller

1st Power Play Unit


# - Nikita Alexandrov


# - Hendrix Lapierre


# - Blake Wheeler


# - Ronnie Attard


# - Vincent Iorio

2nd Power Play Unit


# - Brett Seney


# - Jake Lucchini


# - Georgii Merkulov


# - William Wallinder


# - Tommy Miller

Goalies


# - Joel Blomqvist


# - Nikke Kokko

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1MarliesAmericans54100000117480.800111627014121541731242001731594331912315213.33%70100.00%017734052.06%13625353.75%11419658.16%34517230317738218356.3%6.4%92.6%98.9DULL
2MarliesWolves541000001611580.8001624400041215418012420017315127531410813215.38%70100.00%017734052.06%13625353.75%11419658.16%34517230317738218356.0%8.9%91.3%100.2Unlucky
3MarliesMonsters6420000076180.667710170241215412312420017315692761151317.69%30100.00%017734052.06%13625353.75%11419658.16%34517230317738218350.0%5.7%91.3%97.0DULL
4MarliesThunderbirds1010000013-200.0001230041215436124200173153717717100.00%110.00%017734052.06%13625353.75%11419658.16%34517230317738218333.3%2.8%91.9%94.7DULL
_Vs Division11830000023176160.7272334570241215430312420017315196802022326311.54%100100.00%017734052.06%13625353.75%11419658.16%34517230317738218354.1%7.6%91.3%98.9DULL
_Vs Conference1612400000342410240.75034508403412154476124200173152901133934641512.20%170100.00%017734052.06%13625353.75%11419658.16%34517230317738218354.7%7.1%91.7%98.9DULL
_Since Last GM Reset171250000035278240.70635528703412154512124200173153271304636342511.90%18194.44%017734052.06%13625353.75%11419658.16%34517230317738218353.6%6.8%91.7%98.6DULL
Total171250000035278240.70635528703412154512124200173153271304636342511.90%18194.44%017734052.06%13625353.75%11419658.16%34517230317738218353.6%6.8%91.7%98.6DULL

Puck Time
Offensive Zone 20
Neutral Zone 22
Defensive Zone 17
Puck Time
Offensive Zone Start 340
Neutral Zone Start 196
Defensive Zone Start 253
Puck Time
With Puck 31
Without Puck 29
Faceoffs
Faceoffs Won 427
Faceoffs Lost 362
Team Average Shots after League Average Shots after
1st Period 7.39.57
2nd Period 19.120.31
3rd Period 29.230.68
Overtime 30.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.20.64
2nd Period 0.91.65
3rd Period 1.82.67
Overtime 2.12.83
Even Strenght Goal 30
PP Goal 5
PK Goal 0
Empty Net Goal 0
Home Away
Win 66
Lost 41
Overtime Lost 00
PP Attempt 42
PP Goal 5
PK Attempt 18
PK Goal Against 1
Home
Shots For 30.1
Shots Against 19.2
Goals For 2.1
Goals Against 1.6
Hits 21.4
Shots Blocked 7.6
Pim 2.7
Schedule
DateMatchup Result Detail
Wed, Oct 8MarliesCLB@MarliesTORCLB0,TOR1 (OT)RECAP
Thu, Oct 9MarliesCLB@MarliesTORCLB2,TOR0RECAP
Fri, Oct 10MarliesTOR@MarliesCLBTOR1,CLB2RECAP
Sat, Oct 11MarliesTOR@MarliesCLBTOR1,CLB0RECAP
Sun, Oct 12MarliesCLB@MarliesTORCLB1,TOR2 (OT)RECAP
Mon, Oct 13MarliesTOR@MarliesCLBTOR2,CLB1 (OT)RECAP
Wed, Oct 15MarliesBUF@MarliesTORBUF1,TOR2RECAP
Thu, Oct 16MarliesBUF@MarliesTORBUF3,TOR1RECAP
Fri, Oct 17MarliesTOR@MarliesBUFTOR3,BUF2 (OT)RECAP
Sat, Oct 18MarliesTOR@MarliesBUFTOR2,BUF0RECAP
Sun, Oct 19MarliesBUF@MarliesTORBUF1,TOR3RECAP
Wed, Oct 22MarliesCAR@MarliesTORCAR2,TOR4RECAP
Thu, Oct 23MarliesCAR@MarliesTORCAR3,TOR1RECAP
Fri, Oct 24MarliesTOR@MarliesCARTOR3,CAR2RECAP
Sat, Oct 25MarliesTOR@MarliesCARTOR5,CAR3RECAP
Sun, Oct 26MarliesCAR@MarliesTORCAR1,TOR3RECAP
Wed, Oct 29MarliesSTL@MarliesTORSTL3,TOR1RECAP
Thu, Oct 30MarliesSTL@MarliesTOR
Trade Deadline --- Trades can’t be done after this day is simulated!
Fri, Oct 31MarliesTOR@MarliesSTL
Sat, Nov 1MarliesTOR@MarliesSTL
Sun, Nov 2MarliesSTL@MarliesTOR
Mon, Nov 3MarliesTOR@MarliesSTL
Tue, Nov 4MarliesSTL@MarliesTOR

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
4,380,000$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityToronto
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price28$12$$$$
Attendance00
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
31 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
4,380,000$ 4,380,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
0$ 0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 0$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Wolves9-8-0, 18pts13Final
Marlies12-5-0, 24pts

Thunderbirds13-6-0, 26pts31Final
Marlies12-5-0, 24pts

Thunderbirds13-6-0, 26ptsThu, Oct 30
Marlies12-5-0, 24pts

Monsters2-4-0, 4ptsFri, Oct 10
Marlies12-5-0, 24pts

Marlies12-5-0, 24ptsSat, Oct 11
Monsters2-4-0, 4pts

TRANSACTIONS



 

Team Info

Marlies
Head CoachDon Granato
DivisionNortheast Division
CityToronto
Stadium Capacity3,000

Marlies Affiliation

Marlies
General ManagerChristian Sevigny
Head CoachJim Montgomery
StadiumAir Canada Centre
Capacity18,819

Team Leaders


GOALS
Nikita Alexandrov
MarliesMarlies
7
GOALS
POINTS
Nikita Alexandrov
MarliesMarlies
12
POINTS
WINS
Joel Blomqvist
MarliesMarlies
12
WINS
Expanded Player Leaderboard

Team Stats


Goals For
35
2.06 GFG
Goals Against
27
1.59 GAA
Power Play Percentage
11.9%
5 GF
Penalty Kill Percentage
94.4%
1 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain