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Marlies
GP: 12 | W: 8 | L: 4 | OTL: 0 | P: 16
GF: 41 | GA: 30 | PP%: 24.14% | PK%: 88.10%
GM : Carl Fortin | Morale : 70 | Team Overall : 65
Next Games #195 vs Griffins

Game Center
Griffins
10-1-0, 20pts
5
1 Marlies
8-4-0, 16pts
Team Stats
W3StreakW1
5-1-0Home Record3-3-0
5-0-0Home Record5-1-0
9-1-0Last 10 Games7-3-0
3.91Goals Per Game3.42
2.36Goals Against Per Game2.50
18.18%Power Play Percentage24.14%
75.00%Penalty Kill Percentage88.10%
Crunch
8-4-0, 16pts
4
6 Marlies
8-4-0, 16pts
Team Stats
W1StreakW1
4-2-0Home Record3-3-0
4-2-0Home Record5-1-0
8-2-0Last 10 Games7-3-0
3.67Goals Per Game3.42
3.00Goals Against Per Game2.50
13.11%Power Play Percentage24.14%
78.00%Penalty Kill Percentage88.10%
Marlies
8-4-0, 16pts
Day 28
Griffins
10-1-0, 20pts
Team Stats
W1StreakW3
3-3-0Home Record5-1-0
5-1-0Away Record5-0-0
7-3-0Last 10 Games9-1-0
3.42Goals Per Game3.91
2.50Goals Against Per Game3.91
24.14%Power Play Percentage18.18%
88.10%Penalty Kill Percentage75.00%
Americans
1-9-2, 4pts
Day 30
Marlies
8-4-0, 16pts
Team Stats
L2StreakW1
0-5-1Home Record3-3-0
1-4-1Away Record5-1-0
0-8-2Last 10 Games7-3-0
2.33Goals Per Game3.42
3.67Goals Against Per Game3.42
17.39%Power Play Percentage24.14%
80.36%Penalty Kill Percentage88.10%
Bears
7-4-0, 14pts
Day 34
Marlies
8-4-0, 16pts
Team Stats
W2StreakW1
5-1-0Home Record3-3-0
2-3-0Away Record5-1-0
6-4-0Last 10 Games7-3-0
3.73Goals Per Game3.42
3.73Goals Against Per Game3.42
30.61%Power Play Percentage24.14%
75.61%Penalty Kill Percentage88.10%
Team Leaders
Goals
Joakim Kemell
9
Assists
Carter Yakemchuk
11
Points
Joakim Kemell
14
Plus/Minus
Konnor Smith
3
Wins
Ken Appleby
7
Save Percentage
Luke Cavallin
0.926

Team Stats
Goals For
41
3.42 GFG
Shots For
358
29.83 Avg
Power Play Percentage
24.1%
14 GF
Offensive Zone Start
43.3%
Goals Against
30
2.50 GAA
Shots Against
312
26.00 Avg
Penalty Kill Percentage
88.1%%
5 GA
Defensive Zone Start
38.3%
Team Info

General ManagerCarl Fortin
CoachJim Hiller
DivisionNorth
ConferenceConference Est
CaptainJayson Megna
Assistant #1Laurent Dauphin
Assistant #2Turner Elson


Arena Info

Capacity3,000
Attendance2,996
Season Tickets300


Roster Info

Pro Team29
Farm Team19
Contract Limit48 / 99
Prospects29


Filter Tips
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# 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
1Beckett Sennecke (R)0XX100.005845707166858874467671607664658270690203900,000$
2Vasili Ponomarev0XX100.0068619365717661768376736766686966706802421,536,000$
3Laurent Dauphin (A)0XX100.0030239963756769737474706870737356706703132,000,000$
4Jayson Megna (C)0XXX100.0059559962776364688761677660858640706603611,200,000$
5Joakim Kemell0X100.006964877170828565526565656163638170660222900,000$
6Sheldon Dries0XXX100.00666579647172766880597166676666607065N03231,250,000$
7Hudson Elynuik0XX100.0094835566785873646968646963706552706502931,215,000$
8Turner Elson (A)0XX100.006134866075648769755555735583813470640341635,000$
9Jared Wright (R)0XX100.00623274616171736546646768656468827063N02351,150,000$
10Wilmer Skoog0XX100.0072679766756374597647656565676761706202731,000,000$
11Brody Lamb (R)0X100.005832716257677164467068606662497770620232895,000$
12Cristiano DiGiacinto0XX100.0082716268715772575760606561777345706203011,055,000$
13Griffin Mendel0X100.0098977762836673533058566860727146706602811,307,000$
14Carter Yakemchuk (R)0X100.006640706667707466457658715760597870650213900,000$
15Ryan Mast (R)0X100.006838736367778159456951745164637270650232900,000$
16Jacob Macdonald0XX100.0075719158777690552546497549666645706503321,200,000$
17Noah Chadwick (R)0X100.006440706165727759456853705160597470630213900,000$
18Konnor Smith (R)0X100.007043705867667255455856704852597070610251415,000$
Scratches
1Arnaud Durandeau0XX100.00593490687373766550626558617070447064N02741,135,000$
2Dylan James (R)0X100.006132736461707562456867715553587470630232900,000$
3Josh Samanski0XX100.00644665586168716565746363656666827063N02441,350,000$
4Corey Andonovski0XX100.0082625765747287585155476752676352706102731,111,111$
5Ryan Sandelin0XX100.006761966972577262664952675069685170600271625,000$
6Wendel Clark Jr.0XX100.00565176687766705361535361605757837058N2223868,000$
7Griffin Luce0X100.0094927560805872573060517055716844706502811,196,000$
8Kyle Capobianco0X100.0060288961767469473047686361747354706102921,375,000$
TEAM AVERAGE100.00685379647169756255626167606766627064
Filter Tips
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# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Ken Appleby098.006165708271798787877672698225707603132,800,000$
2Luke Cavallin0100.007171718073717172736968586270707002511,292,500$
Scratches
1Ryan Bednard0100.0064778782787675747372717882377075N02942,215,000$
TEAM AVERAGE99.3365717681747578787872706875447074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jim Hiller81808882848372CAN572600,000$


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# 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
1Joakim KemellMarlies (TOR)RW129514220261731121929.03%219716.484151047000004125.00%1200001.4200000311
2Carter YakemchukMarlies (TOR)D12111121180122120975.00%924520.441451545000011000%000000.9800000001
3Laurent DauphinMarlies (TOR)C/LW127411-10001533123621.21%422018.41336740000040057.14%2100001.0000000111
4Beckett SenneckeMarlies (TOR)LW/RW126511060281735122217.14%221818.213141040000001046.15%1300201.0100000111
5Sheldon DriesMarlies (TOR)C/LW/RW12471116017233042613.33%022819.0723511470001333057.14%17500000.9600000210
6Vasili PonomarevMarlies (TOR)C/LW12281012020253513295.71%222418.69033740000000056.04%27300000.8900000001
7Jayson MegnaMarlies (TOR)C/LW/RW122810100624236228.70%223819.890555460000350053.33%15000000.8400000020
8Hudson ElynuikMarlies (TOR)C/LW12347012023172581712.00%116013.41000010002260058.17%15300000.8700000000
9Ryan MastMarlies (TOR)D121451140181416596.25%726822.351231045000029000%000000.3700000000
10Cristiano DiGiacintoMarlies (TOR)LW/RW12325-1207122021015.00%012610.5800000000000064.29%1400000.7900000002
11Noah ChadwickMarlies (TOR)D120441401216125100%1425221.03011742000131000%000000.3200000000
12Jacob MacdonaldMarlies (TOR)LW/D12044-20058168110%1127022.53011542000036000%000000.3000000000
13Wilmer SkoogMarlies (TOR)C/LW221300001204100.00%02412.2500000000020050.00%400002.4500000100
14Griffin MendelMarlies (TOR)D1203301603965120%1021317.800001100002000%000000.2800000000
15Corey AndonovskiMarlies (TOR)LW/RW10022-140596170%011111.1900001000060012.50%800000.3600000000
16Konnor SmithMarlies (TOR)D1202236014124050%818815.7400000000031000%000000.2100000000
17Turner ElsonMarlies (TOR)C/LW12101120121203125.00%113411.21000000001320055.75%17400000.1500000000
18Dylan JamesMarlies (TOR)LW3000000212020%0258.4900000000000050.00%20000000000000
19Brody LambMarlies (TOR)RW5000000041140%0387.7800000000000050.00%20000000000000
20Jared WrightMarlies (TOR)LW/RW70001004311260%2547.75000000000000100.00%20000000000000
21Josh SamanskiMarlies (TOR)C/LW2000000202110%0136.72000000000000100.00%10000000000000
22Arnaud DurandeauMarlies (TOR)LW/RW7000100549260%0547.7500000000000050.00%40000000000000
Team Total or Average2164174115994024627035810726711.45%75351216.261424388844100052838155.46%100800200.6500000867
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Ken ApplebyMarlies (TOR)97200.9142.2952501202320000093010
2Luke CavallinMarlies (TOR)21000.9261.6274002270000012000
3Ryan BednardMarlies (TOR)20200.8494.03119008530000027000
Team Total or Average138400.9042.51718013031200001212010


Filter Tips
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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
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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 Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Arnaud DurandeauMarlies (TOR)LW/RW271999-01-14CANNo194 Lbs6 ft0YesNoFree AgentNoNo42026-09-13FalseFalsePro & Farm1,135,000$0$0$No1,135,000$1,135,000$1,135,000$------1,135,000$1,135,000$1,135,000$------YesYesYes------
Beckett SenneckeMarlies (TOR)LW/RW202006-01-28CANYes205 Lbs6 ft3NoNoFree AgentNoNo32026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Brody LambMarlies (TOR)RW232003-08-30USAYes185 Lbs6 ft1NoNoFree AgentNoNo22026-06-03FalseFalsePro & Farm895,000$0$0$No895,000$--------895,000$--------No--------
Carter YakemchukMarlies (TOR)D212005-09-29CANYes207 Lbs6 ft4NoNoFree AgentNoNo32026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Corey AndonovskiMarlies (TOR)LW/RW271999-03-26CANNo197 Lbs6 ft1NoNoFree AgentNoNo32024-07-15FalseFalsePro & Farm1,111,111$0$0$No1,111,111$1,111,111$-------1,111,111$1,111,111$-------NoNo-------
Cristiano DiGiacintoMarlies (TOR)LW/RW301996-01-10CANNo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,055,000$0$0$No---------------------------
Dylan JamesMarlies (TOR)LW232003-10-12CANYes192 Lbs6 ft1NoNoFree AgentNoNo22026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Griffin LuceMarlies (TOR)D281998-03-10USANo220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,196,000$0$0$No---------------------------
Griffin MendelMarlies (TOR)D281998-02-18CANNo225 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,307,000$0$0$No---------------------------
Hudson ElynuikMarlies (TOR)C/LW291997-10-12CANNo209 Lbs6 ft5NoNoFree AgentNoNo32025-12-01FalseFalsePro & Farm1,215,000$0$0$No1,215,000$1,215,000$-------1,215,000$1,215,000$-------NoNo-------
Jacob MacdonaldMarlies (TOR)LW/D331993-02-26USANo222 Lbs6 ft0NoNoFree AgentNoNo22025-08-22FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------
Jared WrightMarlies (TOR)LW/RW232002-11-22USAYes183 Lbs6 ft3YesNoFree AgentNoNo52026-08-18FalseFalsePro & Farm1,150,000$0$0$No1,150,000$1,150,000$1,150,000$1,150,000$-----1,150,000$1,150,000$1,150,000$1,150,000$-----YesYesYesYes-----
Jayson MegnaMarlies (TOR)C/LW/RW361990-02-01USANo208 Lbs6 ft0NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,200,000$0$0$No---------------------------
Joakim KemellMarlies (TOR)RW222004-04-27FINNo102 Lbs5 ft11NoNoFree AgentNoNo22025-05-24FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Josh SamanskiMarlies (TOR)C/LW242002-03-22GERNo190 Lbs6 ft3YesNoFree AgentNoNo42026-08-18FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$1,350,000$------1,350,000$1,350,000$1,350,000$------YesYesYes------
Ken ApplebyMarlies (TOR)G311995-04-10CANNo219 Lbs6 ft4NoNoFree AgentNoNo32025-08-22FalseFalsePro & Farm2,800,000$0$0$No2,800,000$2,800,000$-------2,800,000$2,800,000$-------NoNo-------
Konnor SmithMarlies (TOR)D252001-09-02CANYes216 Lbs6 ft6NoNoProspectNoNo12026-09-02FalseFalsePro & Farm415,000$0$0$No---------------------------
Kyle CapobiancoMarlies (TOR)D291997-08-13CANNo212 Lbs6 ft1NoNoTrade2025-03-09NoNo2FalseFalsePro & Farm1,375,000$0$0$No1,375,000$--------1,375,000$--------No--------
Laurent DauphinMarlies (TOR)C/LW311995-03-27CANNo201 Lbs6 ft0NoNoFree AgentNoNo32025-08-22FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Luke CavallinMarlies (TOR)G252001-04-29GBRNo196 Lbs6 ft2NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm1,292,500$0$0$No---------------------------
Noah ChadwickMarlies (TOR)D212005-05-10CANYes207 Lbs6 ft4NoNoFree AgentNoNo32026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Ryan BednardMarlies (TOR)G291997-03-31USANo212 Lbs6 ft5YesNoFree AgentNoNo42026-09-13FalseFalsePro & Farm2,215,000$0$0$No2,215,000$2,215,000$2,215,000$------2,215,000$2,215,000$2,215,000$------YesYesYes------
Ryan MastMarlies (TOR)D232003-01-14USAYes220 Lbs6 ft5NoNoFree AgentNoNo22026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Ryan SandelinMarlies (TOR)C/RW271999-01-03USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-08-06FalseFalsePro & Farm625,000$0$0$No---------------------------
Sheldon DriesMarlies (TOR)C/LW/RW321994-04-23USANo196 Lbs5 ft9YesNoFree AgentNoNo32026-08-18FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------YesYes-------
Turner ElsonMarlies (TOR)C/LW341992-09-13CANNo207 Lbs6 ft0NoNoFree AgentNoNo12024-07-20FalseFalsePro & Farm635,000$0$0$No---------------------------
Vasili PonomarevMarlies (TOR)C/LW242002-03-13RUSNo191 Lbs5 ft10NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,536,000$0$0$No1,536,000$--------1,536,000$--------No--------
Wendel Clark Jr.Marlies (TOR)C/LW222004-07-31CANNo208 Lbs6 ft3YesNoN/ANoNo32026-05-31FalseFalsePro & Farm868,000$0$0$No868,000$868,000$-------868,000$868,000$-------NoNo-------
Wilmer SkoogMarlies (TOR)C/LW271999-07-17SWENo198 Lbs6 ft2NoNoFree AgentNoNo32024-07-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2926.69200 Lbs6 ft22.381,180,193$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Laurent DauphinVasili PonomarevBeckett Sennecke32122
2Jayson MegnaSheldon DriesJoakim Kemell28023
3Wilmer SkoogHudson ElynuikCristiano DiGiacinto23122
4Jared WrightTurner ElsonBrody Lamb17131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacdonaldGriffin Mendel34131
2Carter YakemchukRyan Mast34122
3Konnor SmithNoah Chadwick25221
4Griffin MendelNoah Chadwick7122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Laurent DauphinVasili PonomarevBeckett Sennecke50005
2Sheldon DriesJayson MegnaJoakim Kemell50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Carter YakemchukRyan Mast50005
2Jacob MacdonaldNoah Chadwick50005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jayson MegnaSheldon Dries51041
2Turner ElsonHudson Elynuik49041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacdonaldNoah Chadwick51041
2Konnor SmithRyan Mast49041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Turner Elson51050Griffin MendelKonnor Smith51050
2Jayson Megna49050Jacob MacdonaldRyan Mast49050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jayson MegnaTurner Elson52032
2Vasili PonomarevHudson Elynuik48032
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacdonaldKonnor Smith51131
2Noah ChadwickRyan Mast49131
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Beckett SenneckeVasili PonomarevJoakim KemellGriffin MendelCarter Yakemchuk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Beckett SenneckeVasili PonomarevJoakim KemellGriffin MendelKonnor Smith
Extra Forwards
Normal PowerPlayPenalty Kill
Vasili Ponomarev, Laurent Dauphin, Jayson MegnaVasili Ponomarev, Joakim KemellJayson Megna
Extra Defensemen
Normal PowerPlayPenalty Kill
Jacob Macdonald, Noah Chadwick, Ryan MastCarter YakemchukJacob Macdonald, Konnor Smith
Penalty Shots
Vasili Ponomarev, Beckett Sennecke, Laurent Dauphin, Sheldon Dries, Hudson Elynuik
Goalie
#1 : Ken Appleby, #2 : Luke Cavallin


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
OverallHome Visitor
# 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 RI
1Americans11000000321000000000001100000032121.00036900181211033122118118037916205120.00%70100.00%023643654.13%21538655.70%10818658.06%2871972749015780
2Comets22000000817110000005051100000031241.00081422011812110541221181180441420359333.33%7185.71%023643654.13%21538655.70%10818658.06%2871972749015780
3Crunch220000001064110000006421100000042241.000101828001812110661221181180729182811436.36%90100.00%023643654.13%21538655.70%10818658.06%2871972749015780
4Griffins1010000015-41010000015-40000000000000.0001120018121102412211811803098213133.33%30100.00%023643654.13%21538655.70%10818658.06%2871972749015780
5Monsters22000000734110000003121100000042241.000713200018121106112211811804118103910330.00%5180.00%023643654.13%21538655.70%10818658.06%2871972749015780
6Rockets2020000058-31010000013-21010000045-100.0005101500181211061122118118053814501000.00%7271.43%023643654.13%21538655.70%10818658.06%2871972749015780
7Senators211000007521010000034-11100000041320.5007121900181211059122118118035885310220.00%4175.00%023643654.13%21538655.70%10818658.06%2871972749015780
Total12840000041301163300000191726510000022139160.667417411501181211035812211811803127594246581424.14%42588.10%023643654.13%21538655.70%10818658.06%2871972749015780
_Since Last GM Reset12840000041301163300000191726510000022139160.667417411501181211035812211811803127594246581424.14%42588.10%023643654.13%21538655.70%10818658.06%2871972749015780
_Vs Conference12840000041301163300000191726510000022139160.667417411501181211035812211811803127594246581424.14%42588.10%023643654.13%21538655.70%10818658.06%2871972749015780

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1216W14174115358312759424601
All Games
GPWLOTWOTL SOWSOLGFGA
128400004130
Home Games
GPWLOTWOTL SOWSOLGFGA
63300001917
Visitor Games
GPWLOTWOTL SOWSOLGFGA
65100002213
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
581424.14%42588.10%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
12211811801812110
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23643654.13%21538655.70%10818658.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2871972749015780


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
213Senators4Marlies3LBox score
428Marlies4Senators1WBox score
647Marlies3Comets1WBox score
856Marlies3Americans2WBox score
963Rockets3Marlies1LBox score
1286Monsters1Marlies3WBox score
14101Marlies4Rockets5LBox score
17119Comets0Marlies5WBox score
20131Marlies4Crunch2WBox score
22147Marlies4Monsters2WBox score
23159Griffins5Marlies1LBox score
26181Crunch4Marlies6WBox score
28195Marlies-Griffins-
30212Americans-Marlies-
34235Bears-Marlies-
37254Marlies-Moose-
40266Marlies-Americans-
41281Eagles-Marlies-
44299Moose-Marlies-
46318Marlies-Checkers-
48330Marlies-Roadrunners-
50343Canucks-Marlies-
53361Phantoms-Marlies-
58388Checkers-Marlies-
60401Marlies-Firebird-
62415Marlies-Wild-
63431Senators-Marlies-
66448Marlies-Condors-
68459Roadrunners-Marlies-
71481Marlies-Griffins-
73493Penguins-Marlies-
75506Marlies-Thunderbirds-
78524Wolf Pack-Marlies-
80540Marlies-Penguins-
82556Marlies-Bruins-
83565Stars-Marlies-
86589Admirals-Marlies-
88606Marlies-Wolf Pack-
90620Marlies-Barracuda-
91628Reign-Marlies-
94646Marlies-Silver Knight-
97660Silver Knight-Marlies-
99682IceHogs-Marlies-
101697Marlies-Rockets-
103713Marlies-Wolves-
105723Americans-Marlies-
109750Condors-Marlies-
111768Marlies-Stars-
112778Marlies-Hammers-
115789Rockets-Marlies-
118808Marlies-Canucks-
119819Crunch-Marlies-
122838Marlies-Senators-
124849Monsters-Marlies-
125866Marlies-Crunch-
127881Wranglers-Marlies-
130902Marlies-Gulls-
131913Marlies-Phantoms-
134924Gulls-Marlies-
137945Marlies-IceHogs-
139953Wolves-Marlies-
142972Marlies-Eagles-
143984Wild-Marlies-
1471009Marlies-Monsters-
1481016Hammers-Marlies-
1511038Marlies-Comets-
1521049Comets-Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
1551063Marlies-Reign-
1581081Barracuda-Marlies-
1591089Marlies-Admirals-
1631112Griffins-Marlies-
1671136Thunderbirds-Marlies-
1691150Marlies-Wranglers-
1731173Firebird-Marlies-
1781195Bruins-Marlies-
1831209Marlies-Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance11,9786,000
Attendance PCT99.82%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 2996 - 99.88% 148,782$892,689$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,086,588$ 6,845,122$ 6,845,122$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 999,027$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,761,008$ 158 40,244$ 6,358,552$




Marlies Players 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 Players 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