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Toronto Marlies
GP: 43 | W: 26 | L: 12 | OTL: 5 | P: 57
GF: 148 | GA: 128 | PP%: 40.30% | PK%: 68.75%
GM : Dale Lautner | Morale : 60 | Team Overall : 59
Next Games #683 vs Iowa Wild
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Game Center
San Jose Barracuda
22-14-6, 50pts
5
FINAL
2 Toronto Marlies
26-12-5, 57pts
Team Stats
OTL1StreakOTL1
12-7-3Home Record14-6-1
10-7-3Home Record12-6-4
7-2-1Last 10 Games5-4-1
3.12Goals Per Game3.44
3.00Goals Against Per Game2.98
21.15%Power Play Percentage40.30%
55.00%Penalty Kill Percentage68.75%
Toronto Marlies
26-12-5, 57pts
3
FINAL
4 Colorado Eagles
22-19-3, 47pts
Team Stats
OTL1StreakW5
14-6-1Home Record11-8-2
12-6-4Home Record11-11-1
5-4-1Last 10 Games8-2-0
3.44Goals Per Game3.39
2.98Goals Against Per Game3.32
40.30%Power Play Percentage36.54%
68.75%Penalty Kill Percentage65.38%
Toronto Marlies
26-12-5, 57pts
Day 67
Iowa Wild
15-25-2, 32pts
Team Stats
OTL1StreakW2
14-6-1Home Record6-14-1
12-6-4Away Record9-11-1
5-4-1Last 10 Games6-4-0
3.44Goals Per Game3.14
2.98Goals Against Per Game3.14
40.30%Power Play Percentage35.48%
68.75%Penalty Kill Percentage63.86%
Iowa Wild
15-25-2, 32pts
Day 69
Toronto Marlies
26-12-5, 57pts
Team Stats
W2StreakOTL1
6-14-1Home Record14-6-1
9-11-1Away Record12-6-4
6-4-0Last 10 Games5-4-1
3.14Goals Per Game3.44
5.40Goals Against Per Game3.44
35.48%Power Play Percentage40.30%
63.86%Penalty Kill Percentage68.75%
Coachella Valley Firebirds
27-11-4, 58pts
Day 71
Toronto Marlies
26-12-5, 57pts
Team Stats
W1StreakOTL1
15-4-2Home Record14-6-1
12-7-2Away Record12-6-4
3-6-1Last 10 Games5-4-1
3.36Goals Per Game3.44
3.00Goals Against Per Game3.44
29.82%Power Play Percentage40.30%
68.00%Penalty Kill Percentage68.75%
Team Leaders
Goals
John Beecher
34
Assists
John Beecher
31
Points
John Beecher
65
Plus/Minus
Kevin Wall
11
Ville HussoWins
Ville Husso
25
Save Percentage
Georgi Romanov
0.945

Team Stats
Goals For
148
3.44 GFG
Shots For
1649
38.35 Avg
Power Play Percentage
40.3%
27 GF
Offensive Zone Start
37.6%
Goals Against
128
2.98 GAA
Shots Against
1504
34.98 Avg
Penalty Kill Percentage
68.8%%
15 GA
Defensive Zone Start
36.7%
Team Info

General ManagerDale Lautner
DivisionNorth Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets1,650


Roster Info

Pro Team37
Farm Team18
Contract Limit55 / 65
Prospects29


Filter Tips
PriorityTypeDescription
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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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.
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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
1John Beecher (R)0X100.00685187768270635581576275694557072660233925,000$
2Luca Del Bel Belluz (R)0X100.00403599846768606055417450754552075600215891,667$
3Alex Steeves (R)0X100.008635997688696050554141626048600765902441,000,000$
4Jakub Vrana0X100.004235897973736054555552506560680755902815,250,000$
5Ozzy Wiesblatt (R)0X100.00614066686260605941565560615050076590223835,333$
6Ryan Suzuki (R)0X100.00724769506052705449537069404545076590231863,333$
7Caeden Bankier (R)0X100.00414364506151556264705464504545074570215867,500$
8Jamieson Rees (R)0X100.00494258646049706564554063434545077570232775,000$
9Brent Gates Jr. (R)0X100.00745249706462556043445659534545077570272775,000$
10Ben Jones (R)0X100.00723751536352585944546547534848073560251775,000$
11Alexander Campbell (R)0XX100.00528056496451586447406257604545080540232775,000$
12Jack St. Ivany (R)0X100.00673595777877605140504374514864070670256775,000$
13Jordan Oesterle0X100.004735947871766051405143635176780736403231,250,000$
14Matt Tennyson0X100.00614661646472726140605167596959068640343775,000$
15Brad Hunt0X100.004971526665636951516060585092920806303631,090,000$
16Cale Fleury0X100.00643599768076605040413850495266076600263800,000$
Scratches
1Kevin Wall (R)0XS26463584764606462496868655145450716102441,000,000$
2Danila Klimovich (R)0X100.00657357576547696246645951534545019580212886,667$
3Jani Nyman (R)0X100.00376658686349546648545765494545019580206891,666$
4Samuel Helenius (R)0X100.00565746685858465251654164434545019560225805,833$
5Ryder Korczak (R)0X100.00355164566162546342554362554545020550223859,167$
6Tyler Tullio (R)0X100.00645467455953575242626444464545020540223823,333$
7Mathias Leferriere (R)0X100.00394658615846625960495854584545020540242775,000$
8Matej Blumel (R)0X100.00496848526862496045435045554545020510241925,000$
9Joe Hicketts (R)0X100.00566247556848636347536868516060019610283775,000$
10Matthew Robertson (R)0X100.00617870636157496557575166464545068600232775,000$
11Marshall Rifai0X100.005835997573726050404138504952640195902641,000,000$
12Declan Carlile (R)0X100.004135997570726050404138574945590195802441,000,000$
13Kim Nousiainen (R)0X100.00585764656958496650634355564545019580242859,000$
14Case McCarthy (R)0X100.00695663566549605763534357404545019560232775,000$
15Alec Regula0X100.00676052506356616241506444554545020550242775,000$
16Topi Niemela (R)0X100.00617770555655655162474353564545020530223856,667$
17Christian Kyrou (R)0X100.00486267666347505550484843434545020510214878,333$
TEAM AVERAGE100.0057526963666059585053535853505204958
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
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
1Ville Husso099.00837181917975838182827664510717802934,750,000$
2Georgi Romanov (R)0100.0083657393777981828479735045080760244775,000$
Scratches
1Jared Moe (R)0100.0051577063685866646654656054034610252775,000$
2Calle Clang (R)0100.0058504849644846456952685848034530223878,333$
TEAM AVERAGE99.756961687472656968756771585005567
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1John BeecherToronto Marlies (TOR)C43343165995621052227111715.32%2187820.448132113492024405361.72%11996825011.48130101133
2Kevin WallToronto Marlies (TOR)RW421827451179457851169408110.65%2183219.83310139450002284240.38%522517011.0813323431
3Jamieson ReesToronto Marlies (TOR)C43142539-23010726899336014.14%2376917.9088162148000001245.03%755825011.0100002202
4Jakub VranaToronto Marlies (TOR)LW43151631-41515265015654979.62%2176417.77000010111194057.14%356310000.8100012041
5Ozzy WiesblattToronto Marlies (TOR)RW43161127-22010951154368110.39%2176917.89202635000002160.00%353614000.7000000061
6Jordan OesterleToronto Marlies (TOR)D4342024-41515317110648413.77%66116827.18246451011247100%03144000.4100012012
7Caeden BankierToronto Marlies (TOR)C4381422-11410294510225637.84%1558313.56011135000052048.82%3381412000.7500011012
8Jack St. IvanyToronto Marlies (TOR)D4231821-40057868625403.49%79114827.35347350011245000%02840000.3701000001
9Brad HuntToronto Marlies (TOR)D431181921048030508626361.16%3879618.53000129011023000%03519000.4800439000
10Luca Del Bel BelluzToronto Marlies (TOR)C4312618000103012743829.45%944010.251342351012141142.86%1475010000.8212000111
11Alex SteevesToronto Marlies (TOR)C4361016111210844150174112.00%2478718.32000000001120142.59%541216000.4100110102
12Ryan SuzukiToronto Marlies (TOR)C439716040785076213511.84%1653412.4300000000003040.00%151010000.6000000301
13Matthew RobertsonToronto Marlies (TOR)D43013137291529404120150%4158713.670000000005000%0328000.4400210010
14Matt TennysonToronto Marlies (TOR)D43011116242061485233300%6283919.52000133000028000%01531000.2600031001
15Alexander CampbellToronto Marlies (TOR)C/LW43459112775403040122110.00%552312.1700000000071026.32%19410000.3400429000
16Brent Gates Jr.Toronto Marlies (TOR)C43235-4151563223711315.41%104269.9200005000000043.48%2365000.2300111001
17Ben JonesToronto Marlies (TOR)C43033-1556814289210%74219.80000010000230040.00%2068000.1400010000
18Cale FleuryToronto Marlies (TOR)D43011800921171050%3261814.390000500000000%0311000.0300000000
19Samuel HeleniusToronto Marlies (TOR)C1000000000000%000.080000000000000%00000000000000
20Declan CarlileToronto Marlies (TOR)D1000000000000%033.080000000000000%00000000000000
21Marshall RifaiToronto Marlies (TOR)D1000000000000%000.380000000000000%00000000000000
22Joe HickettsToronto Marlies (TOR)D2000-100301000%12412.350000100001000%02000000000000
23Danila KlimovichToronto Marlies (TOR)RW1000000000000%011.100000000000000%00000000000000
24Jani NymanToronto Marlies (TOR)RW1000000000000%000.450000000000000%00000000000000
Team Total or Average7791462393853248432093987316495348978.85%5121292216.592743706143034714304241052.82%2692419335030.6039151830222019
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
1Ville HussoToronto Marlies (TOR)43251250.9162.882525001211446740630.6679430453
2Georgi RomanovToronto Marlies (TOR)31000.9452.128500355310000043000
Team Total or Average46261250.9172.8526100012415017716394343453


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
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
Alec RegulaToronto Marlies (TOR)D242000-08-06USANo208 Lbs6 ft4NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Alex SteevesToronto Marlies (TOR)C241999-12-10USAYes196 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$834,167$834,167$----NoNoNo------
Alexander CampbellToronto Marlies (TOR)C/LW232001-02-27CANYes179 Lbs5 ft10NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Ben JonesToronto Marlies (TOR)C251999-02-26CANYes187 Lbs6 ft0NoNoN/ANoNo12024-01-11FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Brad HuntToronto Marlies (TOR)D361988-08-24CANNo177 Lbs5 ft9NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm1,090,000$0$0$No1,090,000$1,090,000$-------1,090,000$1,090,000$-------NoNo-------Link / NHL Link
Brent Gates Jr.Toronto Marlies (TOR)C271997-08-12USAYes198 Lbs6 ft2NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Caeden BankierToronto Marlies (TOR)C212003-01-26CANYes190 Lbs6 ft2NoNoAssign ManuallyNoNo52024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$867,500$-----867,500$867,500$867,500$867,500$-----NoNoNoNo-----
Cale FleuryToronto Marlies (TOR)D261998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo32024-01-11FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link / NHL Link
Calle ClangToronto Marlies (TOR)G222002-05-20SWEYes194 Lbs6 ft2NoNoProspectNoNo32024-01-20FalseFalsePro & Farm878,333$0$0$No878,333$878,333$-------878,333$878,333$-------NoNo-------
Case McCarthyToronto Marlies (TOR)D232001-01-09USAYes198 Lbs6 ft1NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Christian KyrouToronto Marlies (TOR)D212003-09-16CANYes182 Lbs5 ft11NoNoProspectNoNo42024-08-17FalseFalsePro & Farm878,333$0$0$No878,333$878,333$878,333$------878,333$878,333$878,333$------NoNoNo------
Danila KlimovichToronto Marlies (TOR)RW212003-01-09BLRYes202 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Link
Declan CarlileToronto Marlies (TOR)D242000-05-18USAYes190 Lbs6 ft2NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Georgi RomanovToronto Marlies (TOR)G241999-12-05RUSYes210 Lbs6 ft5NoNoAssign ManuallyNoNo42024-07-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$2,500,000$2,500,000$----NoNoNo------
Jack St. IvanyToronto Marlies (TOR)D251999-07-22USAYes198 Lbs6 ft3NoNoProspectNoNo62024-07-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$----775,000$775,000$775,000$775,000$775,000$----NoNoNoNoNo----
Jakub Vrana (1 Way Contract)Toronto Marlies (TOR)LW281996-02-28CZENo190 Lbs6 ft0NoNoTrade2024-08-01NoNo1FalseFalsePro & Farm5,250,000$5,250,000$2,739,130$No---------------------------Link / NHL Link
Jamieson ReesToronto Marlies (TOR)C232001-02-26CANYes172 Lbs5 ft11NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Jani NymanToronto Marlies (TOR)RW202004-07-30FINYes207 Lbs6 ft4NoNoProspectNoNo62024-07-21FalseFalsePro & Farm891,666$0$0$No891,666$891,666$891,666$891,666$891,666$----891,666$891,666$891,666$891,666$891,666$----NoNoNoNoNo----
Jared MoeToronto Marlies (TOR)G251999-07-22USAYes220 Lbs6 ft4NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Joe HickettsToronto Marlies (TOR)D281996-05-04CANYes180 Lbs5 ft8NoNoFree AgentNoNo32024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link
John BeecherToronto Marlies (TOR)C232001-04-05USAYes210 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Jordan OesterleToronto Marlies (TOR)D321992-06-25USANo187 Lbs6 ft0NoNoFree AgentNoNo32024-02-04FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Link / NHL Link
Kevin WallToronto Marlies (TOR)RW242000-02-01USAYes188 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Kim NousiainenToronto Marlies (TOR)D242000-11-14FINYes181 Lbs5 ft8NoNoProspectNoNo22024-07-21FalseFalsePro & Farm859,000$0$0$No859,000$--------859,000$--------No--------
Luca Del Bel BelluzToronto Marlies (TOR)C212003-11-10CANYes178 Lbs6 ft1NoNoProspectNoNo52024-01-20FalseFalsePro & Farm891,667$0$0$No891,667$891,667$891,667$891,667$-----891,667$891,667$891,667$891,667$-----NoNoNoNo-----
Marshall RifaiToronto Marlies (TOR)D261998-03-16CANNo185 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-05FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Matej BlumelToronto Marlies (TOR)LW242000-05-31CZEYes200 Lbs6 ft0NoNoN/ANoNo12024-01-11FalseFalsePro & Farm925,000$0$0$No---------------------------
Mathias LeferriereToronto Marlies (TOR)C242000-06-27CANYes181 Lbs6 ft2NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Matt TennysonToronto Marlies (TOR)D341990-04-23USANo205 Lbs6 ft2NoNoFree AgentNoNo32024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Matthew RobertsonToronto Marlies (TOR)D232001-03-09CANYes201 Lbs6 ft4NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Ozzy WiesblattToronto Marlies (TOR)RW222002-03-09CANYes183 Lbs5 ft10NoNoN/ANoNo32024-01-11FalseFalsePro & Farm835,333$0$0$No835,333$835,333$-------835,333$835,333$-------NoNo-------
Ryan SuzukiToronto Marlies (TOR)C232001-05-28CANYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Link
Ryder KorczakToronto Marlies (TOR)C222002-09-23CANYes174 Lbs5 ft11NoNoProspectNoNo32024-01-20FalseFalsePro & Farm859,167$0$0$No859,167$859,167$-------859,167$859,167$-------NoNo-------
Samuel HeleniusToronto Marlies (TOR)C222002-11-26FINYes201 Lbs6 ft6NoNoProspectNoNo52024-01-20FalseFalsePro & Farm805,833$0$0$No805,833$805,833$805,833$805,833$-----805,833$805,833$805,833$805,833$-----NoNoNoNo-----
Topi NiemelaToronto Marlies (TOR)D222002-03-25FINYes160 Lbs5 ft11NoNoProspectNoNo32024-01-20FalseFalsePro & Farm856,667$0$0$No856,667$856,667$-------856,667$856,667$-------NoNo-------
Tyler TullioToronto Marlies (TOR)RW222002-04-05CANYes165 Lbs5 ft10NoNoProspectNoNo32024-01-20FalseFalsePro & Farm823,333$0$0$No823,333$823,333$-------823,333$823,333$-------NoNo-------
Ville Husso (1 Way Contract)Toronto Marlies (TOR)G291995-02-06FINNo205 Lbs6 ft3NoNoTrade2024-07-29NoNo32024-01-16FalseFalsePro & Farm4,750,000$4,750,000$2,478,261$No4,750,000$4,750,000$-------4,750,000$4,750,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3724.51191 Lbs6 ft13.001,088,158$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1John BeecherAlex Steeves35023
2Jakub VranaJamieson ReesOzzy Wiesblatt33023
3Ryan SuzukiCaeden BankierAlexander Campbell22131
4Ben JonesLuca Del Bel BelluzBrent Gates Jr.10230
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack St. IvanyJordan Oesterle40023
2Matt TennysonBrad Hunt30023
3Cale Fleury20131
4Jordan Oesterle10230
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jamieson ReesJohn Beecher60014
2Luca Del Bel BelluzCaeden BankierOzzy Wiesblatt40023
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack St. IvanyJordan Oesterle60014
2Matt TennysonBrad Hunt40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1John Beecher60122
2Luca Del Bel BelluzAlex Steeves40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack St. IvanyJordan Oesterle60122
2Matt TennysonBrad Hunt40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1John Beecher60122Jack St. IvanyJordan Oesterle60122
240122Matt TennysonBrad Hunt40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1John Beecher60122
2Luca Del Bel BelluzAlex Steeves40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack St. IvanyJordan Oesterle60122
2Matt TennysonBrad Hunt40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jakub VranaJohn BeecherJack St. IvanyJordan Oesterle
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jakub VranaJohn BeecherJack St. IvanyJordan Oesterle
Extra Forwards
Normal PowerPlayPenalty Kill
Brent Gates Jr., Caeden Bankier, Ben JonesBrent Gates Jr., Caeden BankierBen Jones
Extra Defensemen
Normal PowerPlayPenalty Kill
Cale Fleury, , Matt TennysonCale Fleury, Matt Tennyson
Penalty Shots
John Beecher, , Luca Del Bel Belluz, Alex Steeves, Jakub Vrana
Goalie
#1 : Ville Husso, #2 : Georgi Romanov
Custom OT Lines Forwards
John Beecher, , Luca Del Bel Belluz, Alex Steeves, Jakub Vrana, Ozzy Wiesblatt, Ozzy Wiesblatt, Ryan Suzuki, Jamieson Rees, Brent Gates Jr., Caeden Bankier
Custom OT Lines Defensemen
Jack St. Ivany, Jordan Oesterle, Matt Tennyson, Brad Hunt, Cale Fleury


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
1Abbotsford Canucks41300000915-6211000006602020000039-620.25091221102962517145495600545171516167824125.00%5180.00%1525100352.34%52997854.09%36868653.64%906514880401825400
2Bakersfield Condors2020000036-31010000012-11010000024-200.000369002962517644956005451746151839200.00%40100.00%0525100352.34%52997854.09%36868653.64%906514880401825400
3Belleville Senators11000000413000000000001100000041321.000461000296251745495600545172613720000%110.00%0525100352.34%52997854.09%36868653.64%906514880401825400
4Bridgeport Sound Tigers10001000541100010005410000000000021.00058130029625174549560054517461112252150.00%110.00%0525100352.34%52997854.09%36868653.64%906514880401825400
5Calgary Wranglers430000101376210000106422200000073481.000131730002962517164495600545171184956734250.00%3233.33%1525100352.34%52997854.09%36868653.64%906514880401825400
6Coachella Valley Firebirds721003102223-121000100651511002101618-290.6432237590029625172694956005451728072361508337.50%30100.00%0525100352.34%52997854.09%36868653.64%906514880401825400
7Colorado Eagles2010010058-31010000024-21000010034-110.250510150029625177449560054517802917462150.00%10100.00%0525100352.34%52997854.09%36868653.64%906514880401825400
8Henderson Silver Knights53100001181442110000066032000001128470.7001831491029625171954956005451720170221189555.56%7357.14%1525100352.34%52997854.09%36868653.64%906514880401825400
9Laval Rocket431000001815311000000523321000001313060.75018264400296251715449560054517146418010014535.71%5340.00%0525100352.34%52997854.09%36868653.64%906514880401825400
10Milwaukee Admirals10001000541100010005410000000000021.0005914002962517484956005451727127182150.00%10100.00%0525100352.34%52997854.09%36868653.64%906514880401825400
11Rochester Americans55000000239143300000013310220000001064101.0002339620029625171924956005451714647681238562.50%9277.78%0525100352.34%52997854.09%36868653.64%906514880401825400
12Rockford IceHogs11000000844110000008440000000000021.0008122000296251744495600545173816121611100.00%10100.00%0525100352.34%52997854.09%36868653.64%906514880401825400
13San Jose Barracuda1010000025-31010000025-30000000000000.00023500296251729495600545173161522200.00%10100.00%0525100352.34%52997854.09%36868653.64%906514880401825400
14Springfield Thunderbirds2010100067-1100010004311010000024-220.50069150029625178349560054517682622424250.00%110.00%0525100352.34%52997854.09%36868653.64%906514880401825400
15Texas Stars1010000024-21010000024-20000000000000.000246102962517324956005451727132922100.00%2150.00%0525100352.34%52997854.09%36868653.64%906514880401825400
16Tuscon Roadrunners10001000211000000000001000100021121.00024600296251730495600545173713521200.00%000%0525100352.34%52997854.09%36868653.64%906514880401825400
17Utica Comets11000000312110000003120000000000021.000369002962517364956005451736181122200.00%30100.00%0525100352.34%52997854.09%36868653.64%906514880401825400
Total43201204421148128202110603110745717221060131174713570.6631482393873029625171649495600545171504512484939672740.30%481568.75%3525100352.34%52997854.09%36868653.64%906514880401825400
_Since Last GM Reset43201204421148128202110603110745717221060131174713570.6631482393873029625171649495600545171504512484939672740.30%481568.75%3525100352.34%52997854.09%36868653.64%906514880401825400
_Vs Conference38181102421132116161895021106447172096003116869-1490.6451322123443029625171464495600545171328451434829592644.07%421369.05%3525100352.34%52997854.09%36868653.64%906514880401825400
_Vs Division23176003216770-31082001102728-11394002114042-2420.9136710617320296251786649560054517827273214484291137.93%23673.91%3525100352.34%52997854.09%36868653.64%906514880401825400

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4357OTL11482393871649150451248493930
All Games
GPWLOTWOTL SOWSOLGFGA
4320124421148128
Home Games
GPWLOTWOTL SOWSOLGFGA
2110631107457
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2210613117471
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
672740.30%481568.75%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
495600545172962517
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
525100352.34%52997854.09%36868653.64%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
906514880401825400


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
218Calgary Wranglers3Toronto Marlies4WXXBoxScore
327Toronto Marlies6Laval Rocket3WBoxScore
547Henderson Silver Knights5Toronto Marlies3LBoxScore
767Toronto Marlies3Henderson Silver Knights2WBoxScore
871Toronto Marlies3Coachella Valley Firebirds6LBoxScore
988Rochester Americans1Toronto Marlies2WBoxScore
11102Toronto Marlies4Coachella Valley Firebirds3WXXBoxScore
12121Utica Comets1Toronto Marlies3WBoxScore
14134Toronto Marlies3Calgary Wranglers2WBoxScore
16149Coachella Valley Firebirds3Toronto Marlies2LXBoxScore
17165Toronto Marlies1Abbotsford Canucks4LBoxScore
19182Henderson Silver Knights1Toronto Marlies3WBoxScore
21204Toronto Marlies5Laval Rocket4WBoxScore
22210Toronto Marlies2Coachella Valley Firebirds3LXBoxScore
23221Laval Rocket2Toronto Marlies5WBoxScore
25245Rochester Americans1Toronto Marlies7WBoxScore
27263Toronto Marlies2Coachella Valley Firebirds3LXBoxScore
28273Toronto Marlies6Rochester Americans4WBoxScore
29285Abbotsford Canucks4Toronto Marlies2LBoxScore
31307Coachella Valley Firebirds2Toronto Marlies4WBoxScore
33327Toronto Marlies4Calgary Wranglers1WBoxScore
34339Springfield Thunderbirds3Toronto Marlies4WXBoxScore
36356Toronto Marlies4Belleville Senators1WBoxScore
37369Toronto Marlies3Henderson Silver Knights4LXXBoxScore
38381Bakersfield Condors2Toronto Marlies1LBoxScore
40402Texas Stars4Toronto Marlies2LBoxScore
42422Toronto Marlies2Springfield Thunderbirds4LBoxScore
43434Toronto Marlies2Tuscon Roadrunners1WXBoxScore
44444Bridgeport Sound Tigers4Toronto Marlies5WXBoxScore
46468Milwaukee Admirals4Toronto Marlies5WXBoxScore
48487Toronto Marlies2Bakersfield Condors4LBoxScore
49495Toronto Marlies6Henderson Silver Knights2WBoxScore
50508Abbotsford Canucks2Toronto Marlies4WBoxScore
52523Toronto Marlies2Abbotsford Canucks5LBoxScore
54542Rockford IceHogs4Toronto Marlies8WBoxScore
56561Rochester Americans1Toronto Marlies4WBoxScore
57579Toronto Marlies4Rochester Americans2WBoxScore
59594Toronto Marlies2Laval Rocket6LBoxScore
60605Colorado Eagles4Toronto Marlies2LBoxScore
62629Calgary Wranglers1Toronto Marlies2WBoxScore
63645Toronto Marlies5Coachella Valley Firebirds3WBoxScore
65661San Jose Barracuda5Toronto Marlies2LBoxScore
66669Toronto Marlies3Colorado Eagles4LXBoxScore
67683Toronto Marlies-Iowa Wild-
69700Iowa Wild-Toronto Marlies-
71723Coachella Valley Firebirds-Toronto Marlies-
72738Toronto Marlies-Rockford IceHogs-
74753Rockford IceHogs-Toronto Marlies-
75775Charlotte Checkers-Toronto Marlies-
76783Toronto Marlies-Chicago Wolves-
77794Toronto Marlies-Wilkes-Barre/Scranton Penguins-
79818Henderson Silver Knights-Toronto Marlies-
81834Toronto Marlies-Hartford Wolf Pack-
82849Toronto Marlies-Lehigh Valley Phantoms-
84860Cleveland Monsters-Toronto Marlies-
85873Toronto Marlies-Hershey Bears-
86891Coachella Valley Firebirds-Toronto Marlies-
88915Toronto Marlies-Providence Bruins-
89922Tuscon Roadrunners-Toronto Marlies-
91939Toronto Marlies-Ontario Reign-
92955Henderson Silver Knights-Toronto Marlies-
95980Grand Rapids Griffins-Toronto Marlies-
96989Toronto Marlies-San Diego Gulls-
981012Tuscon Roadrunners-Toronto Marlies-
991024Toronto Marlies-Texas Stars-
1011039Toronto Marlies-Abbotsford Canucks-
1021052San Jose Barracuda-Toronto Marlies-
1041072Chicago Wolves-Toronto Marlies-
1061097Syracuse Crunch-Toronto Marlies-
1071103Toronto Marlies-Rochester Americans-
1081116Toronto Marlies-Manitoba Moose-
1101130Toronto Marlies-Calgary Wranglers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1111144Toronto Marlies-Grand Rapids Griffins-
1121149Calgary Wranglers-Toronto Marlies-
1141164Toronto Marlies-Charlotte Checkers-
1151179Chicago Wolves-Toronto Marlies-
1181200Toronto Marlies-Bridgeport Sound Tigers-
1191213Syracuse Crunch-Toronto Marlies-
1221240Abbotsford Canucks-Toronto Marlies-
1241265Laval Rocket-Toronto Marlies-
1261280Toronto Marlies-Milwaukee Admirals-
1301310Laval Rocket-Toronto Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
20 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,510,426$ 2,926,183$ 2,926,183$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
22,168$ 1,510,426$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 66 22,168$ 1,463,088$




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

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

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

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