Login

Toronto Marlies
GP: 36 | W: 20 | L: 13 | OTL: 3 | P: 43
GF: 118 | GA: 107 | PP%: 39.50% | PK%: 69.66%
GM : Ola Thorell | Morale : 43 | Team Overall : 47
Next Games #586 vs Tucson Roadrunners
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Toronto Marlies
20-13-3, 43pts
2
FINAL
7 Lehigh Valley Phantoms
22-12-2, 46pts
Team Stats
W1StreakW4
10-5-3Home Record12-6-0
10-8-0Home Record10-6-2
7-3-0Last 10 Games7-3-0
3.28Goals Per Game3.44
2.97Goals Against Per Game2.92
39.50%Power Play Percentage29.82%
69.66%Penalty Kill Percentage74.53%
Syracuse Crunch
12-20-4, 28pts
1
FINAL
4 Toronto Marlies
20-13-3, 43pts
Team Stats
L1StreakW1
9-8-1Home Record10-5-3
3-12-3Home Record10-8-0
2-7-1Last 10 Games7-3-0
2.06Goals Per Game3.28
3.08Goals Against Per Game2.97
27.27%Power Play Percentage39.50%
65.93%Penalty Kill Percentage69.66%
Tucson Roadrunners
13-21-3, 29pts
Day 85
Toronto Marlies
20-13-3, 43pts
Team Stats
L4StreakW1
8-10-0Home Record10-5-3
5-11-3Away Record10-8-0
3-6-1Last 10 Games7-3-0
2.43Goals Per Game3.28
3.27Goals Against Per Game3.28
41.38%Power Play Percentage39.50%
65.35%Penalty Kill Percentage69.66%
Toronto Marlies
20-13-3, 43pts
Day 88
Coachella Valley Firebirds
20-13-2, 42pts
Team Stats
W1StreakL1
10-5-3Home Record11-6-2
10-8-0Away Record9-7-0
7-3-0Last 10 Games5-4-1
3.28Goals Per Game3.20
2.97Goals Against Per Game3.20
39.50%Power Play Percentage43.56%
69.66%Penalty Kill Percentage66.32%
Toronto Marlies
20-13-3, 43pts
Day 93
San Jose Barracuda
17-13-5, 39pts
Team Stats
W1StreakW2
10-5-3Home Record11-3-4
10-8-0Away Record6-10-1
7-3-0Last 10 Games3-6-1
3.28Goals Per Game2.89
2.97Goals Against Per Game2.89
39.50%Power Play Percentage27.08%
69.66%Penalty Kill Percentage71.43%
Team Leaders
Ryan TverbergGoals
Ryan Tverberg
17
Calle JarnkrokAssists
Calle Jarnkrok
31
Calle JarnkrokPoints
Calle Jarnkrok
43
Nick AbruzzesePlus/Minus
Nick Abruzzese
5
Dennis HildebyWins
Dennis Hildeby
20
Dennis HildebySave Percentage
Dennis Hildeby
0.9

Team Stats
Goals For
118
3.28 GFG
Shots For
876
24.33 Avg
Power Play Percentage
39.5%
47 GF
Offensive Zone Start
33.4%
Goals Against
107
2.97 GAA
Shots Against
990
27.50 Avg
Penalty Kill Percentage
69.7%%
27 GA
Defensive Zone Start
36.9%
Team Info

General ManagerOla Thorell
CoachCraig Berube
DivisionNortheast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,805
Season Tickets0


Roster Info

Pro Team26
Farm Team21
Contract Limit47 / 60
Prospects30


Team History

This Season20-13-3 (43PTS)
History28-33-5 (0.424%)
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
1Matthew Knies0X100.009252739393829768306777703036357144690222925,000$
2Calle Jarnkrok0X100.00583095776185736249656668318566286365N03332,100,000$
3Zach Parise0X100.005430967761805557305959694299902853630401937,500$
4Alex Steeves0X100.008330895170798563405255593034364859570251834,167$
5Rhett Gardner0X100.006461466683678150655051603040433462550281775,000$
6Nick Abruzzese0X98.003430916652659062405646503035385168520252775,000$
7Ryan Tverberg (R)0X100.004130936461536851455047473031332868490223851,667$
8Max Ellis (R)0X100.003030945842526039303935423033362862420241838,750$
9Dmitry Ovchinnikov (R)0X100.003030996441484741303337403031322856410221835,000$
10Roni Hirvonen (R)0X100.003030995349626138403536403031332862410222856,667$
11T.J. Friedmann0X100.003130996457433230293333413034382831400261775,000$
12Ty Voit (R)0X100.003030994635403029302930413029302926350213800,556$
13Kyle Capobianco0X100.005131766171658862305942623040413928560271775,000$
14Topi Niemela (R)0X100.003030786253618756305242463031332865490222856,667$
15Mikko Kokkonen (R)0X100.005130874268658944304033513032342853470232846,667$
16Joseph Duszak0X100.003030636543708053354937403035382940470271775,000$
17William Villeneuve (R)0X100.003330775659637546304632463031332854460222817,778$
18Noah Chadwick (R)0X100.005130853176413030303029403027272947390191851,667$
Scratches
1Kyle Clifford0X80.036999254483637447304339493088672941500331775,000$
2Kyle Crnkovic (R)0X100.002930994533433429302929413030322938350221775,000$
3Ryan Orgel0X100.004030993459403030303030423034383028380271775,000$
4Michael Joyaux0X100.003130993849453230303030403035392938370271775,000$
TEAM AVERAGE99.00453685575960644635444249314141334948
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
1Dennis Hildeby (R)0100.00628466995968696365435132396482620232843,333$
2Julian Junca0100.00435232933930404143453038454548450261775,000$
Scratches
1Keith Petruzzelli0100.00326444853239353743333632485344420251817,500$
2Matt Vernon0100.00255025252525252525252525252525260261775,000$
TEAM AVERAGE100.0041634276394142424437363239475044
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Berube25252525102550CAN571500,000$


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
1Calle JarnkrokToronto Marlies (TOR)C331231432006361104458411.54%1260118.233141710630002281154.76%3892811121.4302000441
2Ryan TverbergToronto Marlies (TOR)C36171835-11156058111205515.32%1058416.249101921570002284051.96%204368001.2011001334
3Nick AbruzzeseToronto Marlies (TOR)C36161632540477083235619.28%1171919.992358630004532151.80%1392621000.8901000233
4Alex SteevesToronto Marlies (TOR)C32161228-1240554384234319.05%756717.731192024560000211055.77%521410010.9900000131
5Topi NiemelaToronto Marlies (TOR)D3641620-6100244435171311.43%2372320.113912795000052010%0820000.5500000000
6Max EllisToronto Marlies (TOR)RW3671017-200324237141218.92%655815.52358446000002031.96%97138000.6100000012
7Max LajoieToronto Maple LeafsD3331417320043756127184.92%3975022.742244420001241150.00%21129000.4500000110
8Rhett GardnerToronto Marlies (TOR)C359716-6400683578244911.54%2154815.664596430003243058.33%481714000.5800000021
9Zach PariseToronto Marlies (TOR)LW83131630018162251413.64%114818.52167416000001020.00%551002.1600000211
10Dmitry OvchinnikovToronto Marlies (TOR)LW354812-60021262391917.39%643612.472572130000110141.10%73119000.5500000100
11Kyle CliffordToronto Marlies (TOR)LW288311340082593181625.81%1151418.391011500001160061.11%18312000.4300000100
12Kyle CapobiancoToronto Marlies (TOR)D303710-710027273613118.33%2550916.97246527000033100%0818000.3900000000
13Roni HirvonenToronto Marlies (TOR)C3644812023333151512.90%752714.64000000001282045.00%2027000.3000000011
14William VilleneuveToronto Marlies (TOR)D36156-1100213022954.55%2468719.09112556000046000%0719000.1700000001
15Mikko KokkonenToronto Marlies (TOR)D36055-320032632517140%4186223.95022356000065000%0632000.1200000000
16Michael JoyauxToronto Marlies (TOR)D2314510081752220.00%331713.8211219000016000%019000.3100000100
17T.J. FriedmannToronto Marlies (TOR)RW31224-142018422061510.00%1549115.8400003000000041.98%486216000.1600000010
18Noah ChadwickToronto Marlies (TOR)D28033-24018195520%732611.66011118000011000%013000.1800000000
19Matthew KniesToronto Marlies (TOR)LW1000000300000%077.480000000000000%00000000000000
20Kyle CrnkovicToronto Marlies (TOR)LW27000-200535220%0883.2900000000140050.00%20300000000000
21Joseph DuszakToronto Marlies (TOR)D11000-440351010%113712.470000000000000%00000000000000
22Ryan OrgelToronto Marlies (TOR)D2000000020000%24120.930000000000000%00200000000000
23Ty VoitToronto Marlies (TOR)RW14000-100340000%0614.4000000000000033.33%31000001000000
Team Total or Average623110178288-49181567477481927444613.43%2721021116.3945771221067230001546618547.92%1538200252130.5615001162015
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
1Dennis HildebyToronto Marlies (TOR)34201030.9002.7419932291911508400.6005341422
2Matt VernonToronto Marlies (TOR)10000.8332.612300164000001000
3Keith PetruzzelliToronto Marlies (TOR)30300.7885.16128001152320000223000
4Julian JuncaToronto Marlies (TOR)10000.8577.202500321140000011000
Team Total or Average39201330.8932.932171221069905584053636422


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force 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
Alex SteevesToronto Marlies (TOR)C251999-12-10USANo196 Lbs6 ft0NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm834,167$0$0$No---------------------------NHL Link
Calle Jarnkrok (1 Way Contract)Toronto Marlies (TOR)C331991-09-25SWENo190 Lbs6 ft0YesNoFree AgentNoNo32024-02-03FalseFalsePro & Farm2,100,000$950,000$556,566$No2,100,000$2,100,000$-------2,100,000$2,100,000$-------YesYes-------NHL Link
Dennis HildebyToronto Marlies (TOR)G232001-08-19SWEYes223 Lbs6 ft7NoNoTrade2024-02-24NoNo22024-02-03FalseFalsePro & Farm843,333$0$0$No843,333$--------843,333$--------No--------NHL Link
Dmitry OvchinnikovToronto Marlies (TOR)LW222002-08-19RUSYes165 Lbs5 ft11NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm835,000$0$0$No---------------------------NHL Link
Joseph DuszakToronto Marlies (TOR)D271997-07-22USANo176 Lbs5 ft9NoNoFree AgentNoNo12024-11-20FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Julian JuncaToronto Marlies (TOR)G261998-02-15FRANo214 Lbs6 ft5NoNoFree AgentNoNo12024-11-26FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Keith PetruzzelliToronto Marlies (TOR)G251999-02-09USANo190 Lbs6 ft6NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm817,500$0$0$No---------------------------NHL Link
Kyle CapobiancoToronto Marlies (TOR)D271997-08-13CANNo201 Lbs6 ft2NoNoWaiverNoNo12024-02-04FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Kyle Clifford (1 Way Contract)Toronto Marlies (TOR)LW331991-01-13CANNo218 Lbs6 ft2NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Kyle CrnkovicToronto Marlies (TOR)LW222002-02-10CANYes165 Lbs5 ft7NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Matt VernonToronto Marlies (TOR)G261998-03-29USANo165 Lbs5 ft11NoNoFree AgentNoNo12024-11-23FalseFalsePro & Farm775,000$0$0$No---------------------------
Matthew KniesToronto Marlies (TOR)LW222002-10-17USANo217 Lbs6 ft3NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------NHL Link
Max EllisToronto Marlies (TOR)RW242000-01-18USAYes172 Lbs5 ft9NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm838,750$0$0$No---------------------------NHL Link
Michael JoyauxToronto Marlies (TOR)D271997-02-13USANo181 Lbs5 ft10NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Mikko KokkonenToronto Marlies (TOR)D232001-01-18FINYes201 Lbs6 ft0NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm846,667$0$0$No846,667$--------846,667$--------No--------NHL Link
Nick AbruzzeseToronto Marlies (TOR)C251999-06-04USANo183 Lbs5 ft11NoNoFree AgentNoNo22024-09-29FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------NHL Link
Noah ChadwickToronto Marlies (TOR)D192005-05-10CANYes201 Lbs6 ft4NoNoFree AgentNoNo12024-08-07FalseFalsePro & Farm851,667$0$0$No---------------------------Link / NHL Link
Rhett GardnerToronto Marlies (TOR)C281996-02-28CANNo210 Lbs6 ft3NoNoFree AgentNoNo12024-09-15FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Roni HirvonenToronto Marlies (TOR)C222002-01-10FINYes179 Lbs5 ft10NoNoFree AgentNoNo22024-08-06FalseFalsePro & Farm856,667$0$0$No856,667$--------856,667$--------No--------Link / NHL Link
Ryan OrgelToronto Marlies (TOR)D271997-02-15USANo190 Lbs6 ft0NoNoFree AgentNoNo12024-11-19FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Ryan TverbergToronto Marlies (TOR)C222002-01-30CANYes190 Lbs6 ft0NoNoFree AgentNoNo32024-08-06FalseFalsePro & Farm851,667$0$0$No851,667$851,667$-------851,667$851,667$-------NoNo-------NHL Link
T.J. FriedmannToronto Marlies (TOR)RW261998-02-27USANo181 Lbs6 ft2NoNoFree AgentNoNo12024-09-29FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Topi NiemelaToronto Marlies (TOR)D222002-03-25FINYes179 Lbs6 ft0NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm856,667$0$0$No856,667$--------856,667$--------No--------NHL Link
Ty VoitToronto Marlies (TOR)RW212003-06-10USAYes161 Lbs5 ft10NoNoFree AgentNoNo32024-08-07FalseFalsePro & Farm800,556$0$0$No800,556$800,556$-------800,556$800,556$-------NoNo-------Link / NHL Link
William VilleneuveToronto Marlies (TOR)D222002-03-20CANYes183 Lbs6 ft2NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm817,778$0$0$No817,778$--------817,778$--------No--------NHL Link
Zach Parise (1 Way Contract)Toronto Marlies (TOR)LW401984-07-28USANo195 Lbs5 ft11NoNoFree AgentNoYes12024-08-18FalseFalsePro & Farm937,500$0$0$No---------------------------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2625.35189 Lbs6 ft11.50866,843$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rhett GardnerT.J. FriedmannDmitry Ovchinnikov40122
2Nick AbruzzeseCalle JarnkrokZach Parise30122
3Max EllisRyan TverbergRoni Hirvonen20122
4Rhett GardnerNick AbruzzeseCalle Jarnkrok10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko Kokkonen40122
2William VilleneuveNoah Chadwick30122
3Kyle CapobiancoTopi Niemela20122
4Topi Niemela10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach PariseMax EllisRyan Tverberg60122
2Nick AbruzzeseCalle JarnkrokRhett Gardner40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Topi Niemela60122
2William VilleneuveMikko Kokkonen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nick AbruzzeseCalle Jarnkrok60122
2Ryan TverbergRoni Hirvonen40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko Kokkonen60122
2Topi NiemelaWilliam Villeneuve40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Tverberg60122Topi NiemelaMikko Kokkonen60122
2Nick Abruzzese40122William Villeneuve40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan TverbergCalle Jarnkrok60122
2Nick AbruzzeseMax Ellis40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko KokkonenTopi Niemela60122
2William Villeneuve40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zach PariseCalle JarnkrokNick AbruzzeseTopi Niemela
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach PariseCalle JarnkrokNick AbruzzeseTopi Niemela
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Tverberg, Nick Abruzzese, Calle JarnkrokRyan Tverberg, Nick AbruzzeseNick Abruzzese
Extra Defensemen
Normal PowerPlayPenalty Kill
William Villeneuve, Topi Niemela, Mikko KokkonenTopi NiemelaTopi Niemela, William Villeneuve
Penalty Shots
Nick Abruzzese, Calle Jarnkrok, Ryan Tverberg, Rhett Gardner, Max Ellis
Goalie
#1 : Dennis Hildeby, #2 : Julian Junca
Custom OT Lines Forwards
Roni Hirvonen, Rhett Gardner, T.J. Friedmann, , Dmitry Ovchinnikov, Calle Jarnkrok, Calle Jarnkrok, Nick Abruzzese, Zach Parise, Ryan Tverberg, Max Ellis
Custom OT Lines Defensemen
Kyle Capobianco, Mikko Kokkonen, Topi Niemela, William Villeneuve,


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
1Bakersfield Condors11000000422110000004220000000000021.000461000194352422183320363151734192150.00%2150.00%027957748.35%33063851.72%24851548.16%679312730365764392
2Belleville Senators320010001596210010009631100000063361.000152843001943524761833203631510126264816850.00%13192.31%027957748.35%33063851.72%24851548.16%679312730365764392
3Bridgeport Islanders21001000853100010004311100000042241.000813210019435244718332036315701910399777.78%5260.00%027957748.35%33063851.72%24851548.16%679312730365764392
4Charlotte Checkers11000000624000000000001100000062421.00061218001943524271833203631522107254375.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
5Chicago Wolves210001008711000010045-11100000042230.75081220001943524691833203631564166426350.00%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
6Cleveland Monsters1010000067-1000000000001010000067-100.0006111700194352428183320363151868467342.86%4325.00%027957748.35%33063851.72%24851548.16%679312730365764392
7Colorado Eagles1010000002-2000000000001010000002-200.000000001943524818332036315124218100.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
8Grand Rapids Griffins21100000972110000006331010000034-120.50091524001943524621833203631566268369444.44%4250.00%027957748.35%33063851.72%24851548.16%679312730365764392
9Henderson Silver Knights1010000024-21010000024-20000000000000.0002350019435241118332036315252621200.00%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
10Hershey Bears2020000058-31010000024-21010000034-100.00059140019435245018332036315631910369111.11%5180.00%027957748.35%33063851.72%24851548.16%679312730365764392
11Iowa Wild1010000025-3000000000001010000025-300.0002350019435242318332036315387616300.00%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
12Laval Rocket211000006601010000045-11100000021120.500611170019435243018332036315521810266116.67%5180.00%027957748.35%33063851.72%24851548.16%679312730365764392
13Lehigh Valley Phantoms2110000059-4110000003211010000027-520.50059140019435246018332036315761964111218.18%3233.33%027957748.35%33063851.72%24851548.16%679312730365764392
14Manitoba Moose1010000012-11010000012-10000000000000.0001230019435241518332036315379102211100.00%5180.00%027957748.35%33063851.72%24851548.16%679312730365764392
15Ontario Reign11000000202000000000001100000020221.00024601194352418183320363152792174250.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
16Rochester Americans310010101174210000108531000100032161.000111324001943524821833203631578146667342.86%3166.67%027957748.35%33063851.72%24851548.16%679312730365764392
17San Diego Gulls21100000871110000006331010000024-220.500813210019435245518332036315581812355240.00%6266.67%027957748.35%33063851.72%24851548.16%679312730365764392
18San Jose Barracuda1010000034-11010000034-10000000000000.000358001943524341833203631534610194375.00%50100.00%027957748.35%33063851.72%24851548.16%679312730365764392
19Syracuse Crunch320001001064210001006421100000042250.8331015250019435247218332036315572016593133.33%8275.00%027957748.35%33063851.72%24851548.16%679312730365764392
20Utica Comets22000000514000000000002200000051441.0005914011943524341833203631537122334250.00%10100.00%027957748.35%33063851.72%24851548.16%679312730365764392
21Wilkes-Barre/Scranton Penguins2010000127-51000000112-11010000015-410.250235001943524531833203631538141641600.00%8275.00%027957748.35%33063851.72%24851548.16%679312730365764392
Total36161303211118107111875022116354918980100055532430.597118196314021943524876183320363159902771837051194739.50%892769.66%027957748.35%33063851.72%24851548.16%679312730365764392
_Since Last GM Reset36161303211118107111875022116354918980100055532430.597118196314021943524876183320363159902771837051194739.50%892769.66%027957748.35%33063851.72%24851548.16%679312730365764392
_Vs Conference25127031118874141252021114334913750100045405340.6808814823601194352462118332036315678203125496913538.46%601771.67%027957748.35%33063851.72%24851548.16%679312730365764392
_Vs Division1493021105737208410111033231065201000241410250.89357941510019435243491833203631537611473260452044.44%34779.41%027957748.35%33063851.72%24851548.16%679312730365764392

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3643W111819631487699027718370502
All Games
GPWLOTWOTL SOWSOLGFGA
3616133211118107
Home Games
GPWLOTWOTL SOWSOLGFGA
187522116354
Visitor Games
GPWLOTWOTL SOWSOLGFGA
189810005553
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1194739.50%892769.66%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
183320363151943524
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27957748.35%33063851.72%24851548.16%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
679312730365764392


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
316Toronto Marlies3Grand Rapids Griffins4LBoxScore
429Grand Rapids Griffins3Toronto Marlies6WBoxScore
644Wilkes-Barre/Scranton Penguins2Toronto Marlies1LXXBoxScore
961Toronto Marlies6Cleveland Monsters7LBoxScore
1178Rochester Americans2Toronto Marlies4WBoxScore
1393Toronto Marlies3Rochester Americans2WXBoxScore
14105Toronto Marlies4Syracuse Crunch2WBoxScore
16124Chicago Wolves5Toronto Marlies4LXBoxScore
18136Laval Rocket5Toronto Marlies4LBoxScore
19153Toronto Marlies2Laval Rocket1WBoxScore
21160Toronto Marlies2Utica Comets0WBoxScore
24182Belleville Senators3Toronto Marlies4WXBoxScore
26195Toronto Marlies6Belleville Senators3WBoxScore
31220Syracuse Crunch3Toronto Marlies2LXBoxScore
33230Henderson Silver Knights4Toronto Marlies2LBoxScore
37253Toronto Marlies6Charlotte Checkers2WBoxScore
39263Manitoba Moose2Toronto Marlies1LBoxScore
41284Toronto Marlies4Chicago Wolves2WBoxScore
42295Bakersfield Condors2Toronto Marlies4WBoxScore
44315Toronto Marlies3Hershey Bears4LBoxScore
47326Toronto Marlies3Utica Comets1WBoxScore
48342Bridgeport Islanders3Toronto Marlies4WXBoxScore
50358Toronto Marlies2Iowa Wild5LBoxScore
52376Toronto Marlies1Wilkes-Barre/Scranton Penguins5LBoxScore
54384San Jose Barracuda4Toronto Marlies3LBoxScore
57409Hershey Bears4Toronto Marlies2LBoxScore
59422Toronto Marlies2San Diego Gulls4LBoxScore
62439Lehigh Valley Phantoms2Toronto Marlies3WBoxScore
64456Toronto Marlies0Colorado Eagles2LBoxScore
66470Toronto Marlies4Bridgeport Islanders2WBoxScore
67476Rochester Americans3Toronto Marlies4WXXBoxScore
71501San Diego Gulls3Toronto Marlies6WBoxScore
73521Belleville Senators3Toronto Marlies5WBoxScore
76536Toronto Marlies2Ontario Reign0WBoxScore
78554Toronto Marlies2Lehigh Valley Phantoms7LBoxScore
80569Syracuse Crunch1Toronto Marlies4WBoxScore
85586Tucson Roadrunners-Toronto Marlies-
88610Toronto Marlies-Coachella Valley Firebirds-
93639Toronto Marlies-San Jose Barracuda-
94647Milwaukee Admirals-Toronto Marlies-
97672Providence Bruins-Toronto Marlies-
98684Toronto Marlies-Bakersfield Condors-
103706Hartford Wolf Pack-Toronto Marlies-
105725Toronto Marlies-Rochester Americans-
106735Toronto Marlies-Springfield Thunderbirds-
108748Laval Rocket-Toronto Marlies-
110767Springfield Thunderbirds-Toronto Marlies-
113792Toronto Marlies-Milwaukee Admirals-
114798Iowa Wild-Toronto Marlies-
116817Toronto Marlies-Rockford IceHogs-
118832Rockford IceHogs-Toronto Marlies-
119845Toronto Marlies-Texas Stars-
121863Abbotsford Canucks-Toronto Marlies-
123870Toronto Marlies-Laval Rocket-
125890Toronto Marlies-Belleville Senators-
127900Ontario Reign-Toronto Marlies-
142923Toronto Marlies-Cleveland Monsters-
145933Toronto Marlies-Providence Bruins-
146944Cleveland Monsters-Toronto Marlies-
150970Cleveland Monsters-Toronto Marlies-
153989Toronto Marlies-Henderson Silver Knights-
1551000Calgary Wranglers-Toronto Marlies-
1581022Toronto Marlies-Hartford Wolf Pack-
Trade Deadline --- Trades can’t be done after this day is simulated!
1591031Charlotte Checkers-Toronto Marlies-
1631057Grand Rapids Griffins-Toronto Marlies-
1641064Toronto Marlies-Abbotsford Canucks-
1671089Coachella Valley Firebirds-Toronto Marlies-
1691106Toronto Marlies-Manitoba Moose-
1711122Texas Stars-Toronto Marlies-
1731134Toronto Marlies-Tucson Roadrunners-
1741141Toronto Marlies-Calgary Wranglers-
1761157Utica Comets-Toronto Marlies-
1781173Toronto Marlies-Grand Rapids Griffins-
1791177Toronto Marlies-Syracuse Crunch-
1861202Utica Comets-Toronto Marlies-
1901214Colorado Eagles-Toronto Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance33,71816,768
Attendance PCT93.66%93.16%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
20 2805 - 93.49% 118,509$2,133,159$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
926,137$ 1,872,544$ 1,872,544$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 710,339$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,370,177$ 108 12,487$ 1,348,596$




Toronto 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
1Kyle Clifford55271845-169414111111822.88%25108819.7984121500012056.73%10.8300
2Calle Jarnkrok3312314320636110411.54%1260118.23314171000021154.76%21.4302
3Pontus Holmberg27162642-99525710914.68%1856320.8958131700002144.00%11.4900
4Max Lajoie6253540-140811241124.46%78145723.51411151500031150.00%00.5500
5Ryan Tverberg58181836211676711415.79%1373912.75910192100024051.29%00.9711

Toronto Marlies Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dennis Hildeby41211030.8903.05216322110999568400.6005
2Keith Petruzzelli1941110.8185.5586500804392574000
3Maxime Lagace1631210.8504.2389300634202391000
4Julian Junca10000.8577.202500321140000
5Matt Vernon10000.8332.6123001640000

Toronto 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
20233072001200105151-4615211011004476-321559001006175-14181051722770016444417311483372433895298211536943132.98%754342.67%025751549.90%22649645.56%23848249.38%539237607302655331
20243616130321111810711187502211635491898010005553243118196314021943524876183320363159902771837051194739.50%892769.66%027957748.35%33063851.72%24851548.16%679312730365764392
Total Regular Season66233304411223258-353391603311107130-2333141701100116128-1261223368591023587965160733165760618188557539412412137836.62%1647057.32%0536109249.08%556113449.03%48699748.75%121854913376671419723
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Toronto 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

Toronto Marlies Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA