MarliesToronto Marlies
15-8-0, 30pts · 4th 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
Saku Maenalanen0LW/RW97.047744806979767869406563706766571506729975,000$/2yrs
Jonah Gadjovich0LW/RW100.0082815772867771694063626668595215066241,150,000$/2yrs
Dominic Toninato (A)0C/LW100.0066437470687173666162626666635315064291,250,000$/1yrs
Nikita Alexandrov (A)0C100.006545777473746467596361646751501506422975,000$/2yrs
Greg McKegg0C/LW100.0062447067667375626060566462706015063311,000,000$/1yrs
Brett Seney0C/LW100.005351617351676766616561626755501506227975,000$/1yrs
Brad Richardson (C)0C100.0063435863626976597755556159927915062381,000,000$/1yrs
Kyle Criscuolo0C100.005147696755717164575959506365581506031975,000$/1yrs
Brett Sutter0LW100.005448656361686962465956576075711506036975,000$/2yrs
Filip Cederqvist (R)0LW/RW100.006344676465626260415756606050501505922950,000$/4yrs
Jermaine Loewen0RW100.006568565971656458405252585653501505725950,000$/1yrs
Jaydon Dureau (R)0LW100.005840686659595756405454555850501505622950,000$/4yrs
Ronnie Attard0D100.006547687174706367406262696752501506524975,000$/2yrs
Lassi Thomson0D100.0060476671646361644062576764505015062221,350,000$/3yrs
Dillon Heatherington0D100.0067516362716867614056536859575315062281,000,000$/1yrs
Andy Welinski0D100.0056456964646968624060546060645415061301,100,000$/2yrs
Ryan Merkley0D100.005444677164686365406355616451501506122975,000$/2yrs
Michael Vukojevic0D100.0066506763716159584053526258505015059221,250,000$/3yrs
Scratches
C.J. Smith0LW100.005444716560676560415555536057501505728
Mitchell Heard0C100.005944626062666456475454585761541505731975,000$/1yrs
Nolan Yaremko0LW100.006147686264615957405454585752501505725975,000$/1yrs
Ty Glover0C100.006344696266616159515455575950501505722975,000$/1yrs
Sean Josling0RW100.005847626261605956405353545751501505524975,000$/1yrs
Ville Koivunen (R)0RW100.005640686657545356475354545950501505520950,000$/4yrs
Alec Regula0D87.8566515867696160634061556762505015062221,400,000$/3yrs
Tommy Miller0D100.006040696862606058405553655951501506024975,000$/1yrs
Nick Albano0D100.005644656762636053405050615654501505826975,000$/1yrs
Tyson Feist0D100.006340686267595754405353615650501505822975,000$/1yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Arturs Silovs0100.006861636968697169706659505015062221,100,000$/4yrs
Jiri Patera0100.007063636968687068686757525015062241,000,000$/4yrs
Scratches
Victor Brattstrom0100.00666362686564646164645654501505926975,000$/2yrs
Pat Nagle0100.00606458646260605662606474671505735975,000$/1yrs
Joel Blomqvist0100.00595757645855545354585350501505321975,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jim Montgomery8490897978861CAN533800,000$
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
1Jonah GadjovichMarliesMarlies (TOR)LW/RW23101121066407474274513.51%1218.35235000113062.07%100.91000.54
2Dominic ToninatoMarliesMarlies (TOR)C/LW2391120-215153063173314.29%1418.72123000201153.67%100.87000.75
3Saku MaenalanenMarliesMarlies (TOR)LW/RW22611170204655306410.91%1621.42134000331047.83%000.77000.86
4Nikita AlexandrovMarliesMarlies (TOR)C2351116-51915327626486.58%418.9614500001051.69%000.70000.60
5Brett SeneyMarliesMarlies (TOR)C/LW237714345153265164110.77%1217.76134000142147.62%000.61000.43
6Kyle CriscuoloMarliesMarlies (TOR)C234913300145220257.69%512.0300000050157.98%000.57000.66
7Ronnie AttardMarliesMarlies (TOR)D233912-23515354022167.50%3124.8822400031000.00%000.52000.29
8Brad RichardsonMarliesMarlies (TOR)C232911420333819225.26%815.65011000390061.40%000.48000.57
9Greg McKeggMarliesMarlies (TOR)C/LW2356111002635152514.29%812.70000000121162.50%000.48000.53
10Filip CederqvistMarliesMarlies (TOR)LW/RW235611155406213348.06%1015.4711200001037.50%000.48000.59
11Ryan MerkleyMarliesMarlies (TOR)D232810123521291596.90%1920.361120003000.00%000.43000.28
12Jaydon DureauMarliesMarlies (TOR)LW17448100183561711.43%212.4900000002063.64%000.47000.56
13Jermaine LoewenMarliesMarlies (TOR)RW1742664027144528.57%311.83000000020100.00%000.35000.44
14Andy WelinskiMarliesMarlies (TOR)D191456261023167136.25%1918.310000009000.00%000.26000.18
15Brett SutterMarliesMarlies (TOR)LW232353362021227189.09%914.1900000021033.33%000.22000.04
16Tommy MillerMarliesMarlies (TOR)D14055310101011530.00%2120.7200000016000.00%000.36000.32
17Alec RegulaMarliesMarlies (TOR)D15134541152014337.14%2120.9400000017000.00%000.2700-0.03
18Lassi ThomsonMarliesMarlies (TOR)D11112140411549.09%1418.6811200012000.00%000.18000.23
19Michael VukojevicMarliesMarlies (TOR)D14011-32420217540.00%416.4500000020000.00%000.0700-0.26
20Dillon HeatheringtonMarliesMarlies (TOR)D21101-3141048199125.26%2319.8200000027000.00%000.05000.04
21Nick AlbanoMarliesMarlies (TOR)D600020000000.00%01.870000000000.00%000.00000.12
22Mitchell HeardMarliesMarlies (TOR)C100000000000.00%00.000000000000.00%000.00000.00
23Tyson FeistMarliesMarlies (TOR)D300000000000.00%00.260000000000.00%000.00000.00
24Ville KoivunenMarliesMarlies (TOR)RW100000012200.00%111.870000000000.00%000.00000.27
Team Total or Average41472121193253711955767402734419.73%25617.0611213250600028015454.61%1346169148200.5500
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
1Arturs SilovsMarliesMarlies (TOR)2315700.9072.7813580163678353100.0000230301
2Jiri PateraMarliesMarlies (TOR)20100.8185.37670063318000.0000023000
Team Total or Average2515800.9032.9014260169711371100.00002323301
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 D221,400,000$1,400,000$ 1,400,000$ 1,400,000$ RFA
Andy Welinski D301,100,000$1,100,000$ 1,100,000$ UFA
Arturs Silovs G221,100,000$1,100,000$ 1,100,000$ 1,100,000$ 1,100,000$ RFA
Brad Richardson C381,000,000$1,000,000$ UFA
Brett Seney C/LW27975,000$975,000$ UFA
Brett Sutter LW36975,000$975,000$ 975,000$ UFA
C.J. Smith LW280$UFA
Dillon Heatherington D281,000,000$1,000,000$ UFA
Dominic Toninato C/LW291,250,000$1,250,000$ UFA
Filip Cederqvist LW/RW22950,000$950,000$ 950,000$ 950,000$ 950,000$ RFA
Greg McKegg C/LW311,000,000$1,000,000$ UFA
Jaydon Dureau LW22950,000$950,000$ 950,000$ 950,000$ 950,000$ RFA
Jermaine Loewen RW25950,000$950,000$ RFA
Jiri Patera G241,000,000$1,000,000$ 1,000,000$ 1,000,000$ 1,000,000$ UFA
Joel Blomqvist G21975,000$975,000$ 975,000$ RFA
Jonah Gadjovich LW/RW241,150,000$1,150,000$ 1,150,000$ RFA
Kyle Criscuolo C31975,000$975,000$ UFA
Lassi Thomson D221,350,000$1,350,000$ 1,350,000$ 1,350,000$ RFA
Michael Vukojevic D221,250,000$1,250,000$ 1,250,000$ 1,250,000$ RFA
Mitchell Heard C31975,000$975,000$ UFA
Nick Albano D26975,000$975,000$ UFA
Nikita Alexandrov C22975,000$975,000$ 975,000$ RFA
Nolan Yaremko LW25975,000$975,000$ RFA
Pat Nagle G35975,000$975,000$ UFA
Ronnie Attard D24975,000$975,000$ 975,000$ RFA
Ryan Merkley D22975,000$975,000$ 975,000$ RFA
Saku Maenalanen LW/RW29975,000$975,000$ 975,000$ UFA
Sean Josling RW24975,000$975,000$ RFA
Tommy Miller D24975,000$975,000$ RFA
Ty Glover C22975,000$975,000$ RFA
Tyson Feist D22975,000$975,000$ RFA
Victor Brattstrom G26975,000$975,000$ 975,000$ UFA
Ville Koivunen RW20950,000$950,000$ 950,000$ 950,000$ 950,000$ RFA

Lines
Forward Lines


# - Greg McKegg


# - Dominic Toninato


# - Jonah Gadjovich


# - Brett Seney


# - Nikita Alexandrov


# - Saku Maenalanen


# - Jaydon Dureau


# - Brad Richardson


# - Filip Cederqvist


# - Brett Sutter


# - Kyle Criscuolo


# - Jermaine Loewen

Defensive Pairings


# - Ronnie Attard


# - Andy Welinski


# - Dillon Heatherington


# - Lassi Thomson


# - Ryan Merkley


# - Michael Vukojevic

1st Power Play Unit


# - Saku Maenalanen


# - Nikita Alexandrov


# - Jonah Gadjovich


# - Ronnie Attard


# - Ryan Merkley

2nd Power Play Unit


# - Dominic Toninato


# - Brad Richardson


# - Filip Cederqvist


# - Lassi Thomson


# - Andy Welinski

Goalies


# - Arturs Silovs


# - Jiri Patera

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
1MarliesBruins743000002223-180.57122406200133024521221626223923254769915113323.08%12283.33%027850754.83%27550654.35%18233354.65%49726947522345422947.5%10.4%90.9%101.3FUN
2MarliesGriffins633000001824-660.500183048001330245180216262239231927814215812216.67%21671.43%027850754.83%27550654.35%18233354.65%49726947522345422947.1%10.0%87.5%97.5FUN
3MarliesWolf Pack4400000094581.00091423011330245145216262239236925401101715.88%5180.00%027850754.83%27550654.35%18233354.65%49726947522345422972.7%6.2%94.2%100.4DULL
4Marlies Penguins642000002318580.66723376000133024520321626223923196779015718527.78%10460.00%027850754.83%27550654.35%18233354.65%49726947522345422956.3%11.3%90.8%102.1FUN
_Vs Division10000000032221000.0003251830113302453482162622392326510213026735617.14%15566.67%027850754.83%27550654.35%18233354.65%49726947522345422960.5%9.2%91.7%100.9LUCKY
_Vs Conference171250000054459240.70654911450113302455602162622392351917822941848918.75%27774.07%027850754.83%27550654.35%18233354.65%49726947522345422954.2%9.6%91.3%101.0LUCKY
_Since Last GM Reset231580000072693300.6527212119301133024574021626223923711256371576601118.33%481372.92%027850754.83%27550654.35%18233354.65%49726947522345422952.1%9.7%90.3%100.0FUN
Total231580000072693300.6527212119301133024574021626223923711256371576601118.33%481372.92%027850754.83%27550654.35%18233354.65%49726947522345422952.1%9.7%90.3%100.0FUN

Puck Time
Offensive Zone 21
Neutral Zone 19
Defensive Zone 20
Puck Time
Offensive Zone Start 507
Neutral Zone Start 333
Defensive Zone Start 506
Puck Time
With Puck 31
Without Puck 30
Faceoffs
Faceoffs Won 735
Faceoffs Lost 611
Team Average Shots after League Average Shots after
1st Period 9.49.57
2nd Period 20.820.31
3rd Period 31.230.68
Overtime 32.231.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.91.65
3rd Period 2.92.67
Overtime 3.12.83
Even Strenght Goal 61
PP Goal 11
PK Goal 0
Empty Net Goal 0
Home Away
Win 78
Lost 53
Overtime Lost 00
PP Attempt 60
PP Goal 11
PK Attempt 48
PK Goal Against 13
Home
Shots For 32.2
Shots Against 30.9
Goals For 3.1
Goals Against 3.0
Hits 25.0
Shots Blocked 11.1
Pim 16.1
Schedule
DateMatchup Result Detail
Sun, Sep 10MarliesNYR@MarliesTORNYR1,TOR2RECAP
Mon, Sep 11MarliesNYR@MarliesTORNYR0,TOR2RECAP
Tue, Sep 12MarliesTOR@MarliesNYRTOR2,NYR1 (OT)RECAP
Wed, Sep 13MarliesTOR@MarliesNYRTOR3,NYR2RECAP
Sun, Sep 17MarliesPIT@MarliesTORPIT3,TOR5RECAP
Mon, Sep 18MarliesPIT@MarliesTORPIT7,TOR4RECAP
Tue, Sep 19MarliesTOR@MarliesPITTOR4,PIT5RECAP
Wed, Sep 20MarliesTOR@MarliesPITTOR2,PIT1RECAP
Thu, Sep 21MarliesPIT@MarliesTORPIT1,TOR4RECAP
Fri, Sep 22MarliesTOR@MarliesPITTOR4,PIT1RECAP
Sun, Sep 24MarliesBOS@MarliesTORBOS2,TOR1RECAP
Mon, Sep 25MarliesBOS@MarliesTORBOS2,TOR3RECAP
Tue, Sep 26MarliesTOR@MarliesBOSTOR5,BOS4 (OT)RECAP
Wed, Sep 27MarliesTOR@MarliesBOSTOR4,BOS3 (OT)RECAP
Thu, Sep 28MarliesBOS@MarliesTORBOS5,TOR1RECAP
Fri, Sep 29MarliesTOR@MarliesBOSTOR3,BOS4RECAP
Sat, Sep 30MarliesBOS@MarliesTORBOS3,TOR5RECAP
Sun, Oct 1MarliesTOR@MarliesDETTOR4,DET2RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Mon, Oct 2MarliesTOR@MarliesDETTOR4,DET3 (OT)RECAP
Tue, Oct 3MarliesDET@MarliesTORDET9,TOR3RECAP
Wed, Oct 4MarliesDET@MarliesTORDET3,TOR4 (OT)RECAP
Thu, Oct 5MarliesTOR@MarliesDETTOR1,DET3RECAP
Fri, Oct 6MarliesDET@MarliesTORDET4,TOR2RECAP
Sat, Oct 7MarliesTOR@MarliesDET

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,297,500$ 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
29 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,297,500$ 3,297,500$ 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$ 1 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

Marlies15-8-0, 30pts13Final
Griffins15-11-0, 30pts

Griffins15-11-0, 30pts42Final
Marlies15-8-0, 30pts

Griffins15-11-0, 30ptsSat, Oct 07
Marlies15-8-0, 30pts

Wolf Pack0-4-0, 0ptsTue, Sep 12
Marlies15-8-0, 30pts

Marlies15-8-0, 30ptsWed, Sep 13
Wolf Pack0-4-0, 0pts

TRANSACTIONS



 

Team Info

Marlies
Head CoachJim Montgomery
DivisionNortheast Division
CityToronto
Stadium Capacity3,000

Marlies Affiliation

Marlies
General ManagerChristian Sevigny
Head CoachDon Granato
StadiumAir Canada Centre
Capacity18,819

Team Leaders


GOALS
Jonah Gadjovich
MarliesMarlies
10
GOALS
POINTS
Jonah Gadjovich
MarliesMarlies
21
POINTS
WINS
Arturs Silovs
MarliesMarlies
15
WINS
Expanded Player Leaderboard

Team Stats


Goals For
72
3.13 GFG
Goals Against
69
3.00 GAA
Power Play Percentage
18.3%
11 GF
Penalty Kill Percentage
72.9%
13 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain