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Toronto Marlies
GP: 20 | W: 13 | L: 4 | OTL: 3 | P: 29
GF: 70 | GA: 57 | PP%: 41.67% | PK%: 62.50%
GM : Dale Lautner | Morale : 56 | Team Overall : 59
Next Games #327 vs Calgary Wranglers
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Game Center
Abbotsford Canucks
13-5-2, 28pts
4
FINAL
2 Toronto Marlies
13-4-3, 29pts
Team Stats
W1StreakW1
6-3-1Home Record7-2-1
7-2-1Home Record6-2-2
6-3-1Last 10 Games6-2-2
3.50Goals Per Game3.50
2.85Goals Against Per Game2.85
32.00%Power Play Percentage41.67%
73.68%Penalty Kill Percentage62.50%
Coachella Valley Firebirds
13-3-3, 29pts
2
FINAL
4 Toronto Marlies
13-4-3, 29pts
Team Stats
L2StreakW1
7-1-2Home Record7-2-1
6-2-1Home Record6-2-2
6-3-1Last 10 Games6-2-2
3.11Goals Per Game3.50
2.63Goals Against Per Game2.85
34.78%Power Play Percentage41.67%
70.00%Penalty Kill Percentage62.50%
Toronto Marlies
13-4-3, 29pts
Day 33
Calgary Wranglers
7-10-2, 16pts
Team Stats
W1StreakL1
7-2-1Home Record3-6-1
6-2-2Away Record4-4-1
6-2-2Last 10 Games4-6-0
3.50Goals Per Game3.00
2.85Goals Against Per Game3.00
41.67%Power Play Percentage44.00%
62.50%Penalty Kill Percentage67.86%
Springfield Thunderbirds
13-5-2, 28pts
Day 34
Toronto Marlies
13-4-3, 29pts
Team Stats
OTL1StreakW1
7-3-1Home Record7-2-1
6-2-1Away Record6-2-2
7-2-1Last 10 Games6-2-2
3.70Goals Per Game3.50
2.80Goals Against Per Game3.50
24.39%Power Play Percentage41.67%
76.92%Penalty Kill Percentage62.50%
Toronto Marlies
13-4-3, 29pts
Day 36
Belleville Senators
10-6-4, 24pts
Team Stats
W1StreakW2
7-2-1Home Record5-3-2
6-2-2Away Record5-3-2
6-2-2Last 10 Games3-4-3
3.50Goals Per Game3.05
2.85Goals Against Per Game3.05
41.67%Power Play Percentage47.62%
62.50%Penalty Kill Percentage66.67%
Team Leaders
Goals
John Beecher
16
Assists
John Beecher
15
Points
John Beecher
31
Plus/Minus
Alex Steeves
11
Ville HussoWins
Ville Husso
13
Ville HussoSave Percentage
Ville Husso
0.925

Team Stats
Goals For
70
3.50 GFG
Shots For
771
38.55 Avg
Power Play Percentage
41.7%
15 GF
Offensive Zone Start
38.0%
Goals Against
57
2.85 GAA
Shots Against
738
36.90 Avg
Penalty Kill Percentage
62.5%%
9 GA
Defensive Zone Start
37.2%
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
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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.
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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
1John Beecher (R)0X100.00685187768270635581576275694557066660233925,000$
2Kevin Wall (R)0X100.006463584764606462496868655145450636102441,000,000$
3Luca Del Bel Belluz (R)0X100.00403599846768606055417450754552066600205891,667$
4Alex Steeves (R)0X100.008635997688696050554141626048600635902441,000,000$
5Jakub Vrana0X100.004235897973736054555552506560680655902815,250,000$
6Ozzy Wiesblatt (R)0X100.00614066686260605941565560615050066590223835,333$
7Ryan Suzuki (R)0X100.00724769506052705449537069404545066590231863,333$
8Caeden Bankier (R)0X100.00414364506151556264705464504545066570215867,500$
9Jamieson Rees (R)0X100.00494258646049706564554063434545067570232775,000$
10Brent Gates Jr. (R)0X100.00745249706462556043445659534545067570272775,000$
11Ben Jones (R)0X100.00723751536352585944546547534848066560251775,000$
12Alexander Campbell (R)0XX100.00528056496451586447406257604545078540232775,000$
13Jack St. Ivany (R)0X100.00673595777877605140504374514864065670256775,000$
14Jordan Oesterle0X100.004735947871766051405143635176780626403231,250,000$
15Matt Tennyson0X100.00614661646472726140605167596959060640343775,000$
16Brad Hunt0X100.004971526665636951516060585092920746303631,090,000$
17Matthew Robertson (R)0X100.00617870636157496557575166464545069600232775,000$
18Cale Fleury0X100.00643599768076605040413850495266066600253800,000$
Scratches
1Danila Klimovich (R)0X100.00657357576547696246645951534545035580212886,667$
2Jani Nyman (R)0X100.00376658686349546648545765494545035580206891,666$
3Samuel Helenius (R)0X100.00565746685858465251654164434545035560215805,833$
4Ryder Korczak (R)0X100.00355164566162546342554362554545035550223859,167$
5Tyler Tullio (R)0X100.00645467455953575242626444464545035540223823,333$
6Mathias Leferriere (R)0X100.00394658615846625960495854584545035540242775,000$
7Matej Blumel (R)0X100.00496848526862496045435045554545035510241925,000$
8Joe Hicketts (R)0X100.00566247556848636347536868516060035610283775,000$
9Marshall Rifai0X100.005835997573726050404138504952640355902641,000,000$
10Declan Carlile (R)0X100.004135997570726050404138574945590355802441,000,000$
11Kim Nousiainen (R)0X100.00585764656958496650634355564545035580232859,000$
12Case McCarthy (R)0X100.00695663566549605763534357404545035560232775,000$
13Alec Regula0X100.00676052506356616241506444554545035550242775,000$
14Topi Niemela (R)0X100.00617770555655655162474353564545035530223856,667$
15Christian Kyrou (R)0X100.00486267666347505550484843434545035510214878,333$
TEAM AVERAGE100.0057526963666059585053535853505205258
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 Husso0100.00837181917975838182827664510627802934,750,000$
2Georgi Romanov (R)0100.0083657393777981828479735045071760244775,000$
Scratches
1Jared Moe (R)0100.0051577063685866646654656054045610252775,000$
2Calle Clang (R)0100.0058504849644846456952685848045530223878,333$
TEAM AVERAGE100.006961687472656968756771585005667
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)C201615317202750101335115.84%741420.7346108251013202261.74%5623512001.5012000521
2Kevin WallToronto Marlies (TOR)RW2012102253020391969184017.39%540220.112574240002144137.50%24119011.0912121210
3Jamieson ReesToronto Marlies (TOR)C2031215-113533315414275.56%1135717.893361225000000039.65%343511000.8400001002
4Luca Del Bel BelluzToronto Marlies (TOR)C20841220011364253412.50%61939.66134218101270041.07%56266001.2411000101
5Jack St. IvanyToronto Marlies (TOR)D203811-3002739428197.14%3054627.34325326011223000%01516000.4000000001
6Jakub VranaToronto Marlies (TOR)LW205611-3151511237028507.14%935117.5900000011191075.00%16314000.6300012011
7Caeden BankierToronto Marlies (TOR)C203710-24014204912286.12%727313.70011118000010050.89%16977000.7300000001
8Brad HuntToronto Marlies (TOR)D2019101483019224215192.38%1737418.71000114011011000%01511000.5300312000
9Alex SteevesToronto Marlies (TOR)C2027911554216215219.52%1136618.3000000000160132.14%28514000.4900010001
10Jordan OesterleToronto Marlies (TOR)D2026805510384218184.76%3254427.23134227000223000%01616000.2900010000
11Ozzy WiesblattToronto Marlies (TOR)RW20718-12048307718429.09%1235617.82101317000002152.94%17153000.4500000030
12Matthew RobertsonToronto Marlies (TOR)D200777175171718780%1727413.740000000002000%0312000.5100100000
13Ryan SuzukiToronto Marlies (TOR)C20527-220412734112014.71%725412.7200000000002037.50%834000.5500000201
14Matt TennysonToronto Marlies (TOR)D200551141030192822200%3638819.42000017000013000%0416000.2600020000
15Ben JonesToronto Marlies (TOR)C20033100331010290%31899.47000000000110054.55%1134000.3200000000
16Alexander CampbellToronto Marlies (TOR)C/LW20112078402214205125.00%324312.1500000000020030.00%1023000.1600206000
17Brent Gates Jr.Toronto Marlies (TOR)C20000-11515288214160%41949.7500001000000033.33%124200000111000
18Cale FleuryToronto Marlies (TOR)D20000700789340%1528314.180000200000000%02400000000000
Team Total or Average36068103171292501504494047712484388.82%232601016.70152338362192351314911551.51%1256202154010.573589131079
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)2013430.9252.7212140055736382420.6676200341
Team Total or Average2013430.9252.7212140055736382426200341


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 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)D242000-08-06No208 Lbs6 ft4NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Alex SteevesToronto Marlies (TOR)C241999-12-10Yes196 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/LW232001-02-27Yes179 Lbs5 ft10NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Ben JonesToronto Marlies (TOR)C251999-02-26Yes187 Lbs6 ft0NoNoN/ANoNo12024-01-11FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Brad HuntToronto Marlies (TOR)D361988-08-24No177 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)C271997-08-12Yes198 Lbs6 ft2NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Caeden BankierToronto Marlies (TOR)C212003-01-26Yes190 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)D251998-11-19No204 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)G222002-05-20Yes194 Lbs6 ft2NoNoProspectNoNo32024-01-20FalseFalsePro & Farm878,333$0$0$No878,333$878,333$-------878,333$878,333$-------NoNo-------
Case McCarthyToronto Marlies (TOR)D232001-01-09Yes198 Lbs6 ft1NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Christian KyrouToronto Marlies (TOR)D212003-09-16Yes182 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)RW212003-01-09Yes202 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Link
Declan CarlileToronto Marlies (TOR)D242000-05-18Yes190 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)G241999-12-05Yes210 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)D251999-07-22Yes198 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)LW281996-02-28No190 Lbs6 ft0NoNoTrade2024-08-01NoNo1FalseFalsePro & Farm5,250,000$5,250,000$4,032,609$No---------------------------Link / NHL Link
Jamieson ReesToronto Marlies (TOR)C232001-02-26Yes172 Lbs5 ft11NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Jani NymanToronto Marlies (TOR)RW202004-07-30Yes207 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)G251999-07-22Yes220 Lbs6 ft4NoNoProspectNoNo22024-08-17FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Joe HickettsToronto Marlies (TOR)D281996-05-04Yes180 Lbs5 ft8NoNoFree AgentNoNo32024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link
John BeecherToronto Marlies (TOR)C232001-04-05Yes210 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Jordan OesterleToronto Marlies (TOR)D321992-06-25No187 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)RW242000-02-01Yes188 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)D232000-11-14Yes181 Lbs5 ft8NoNoProspectNoNo22024-07-21FalseFalsePro & Farm859,000$0$0$No859,000$--------859,000$--------No--------
Luca Del Bel BelluzToronto Marlies (TOR)C202003-11-10Yes178 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)D261998-03-16No185 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)LW242000-05-31Yes200 Lbs6 ft0NoNoN/ANoNo12024-01-11FalseFalsePro & Farm925,000$0$0$No---------------------------
Mathias LeferriereToronto Marlies (TOR)C242000-06-27Yes181 Lbs6 ft2NoNoProspectNoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Matt TennysonToronto Marlies (TOR)D341990-04-23No205 Lbs6 ft2NoNoFree AgentNoNo32024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Matthew RobertsonToronto Marlies (TOR)D232001-03-09Yes201 Lbs6 ft4NoNoN/ANoNo22024-07-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Ozzy WiesblattToronto Marlies (TOR)RW222002-03-09Yes183 Lbs5 ft10NoNoN/ANoNo32024-01-11FalseFalsePro & Farm835,333$0$0$No835,333$835,333$-------835,333$835,333$-------NoNo-------
Ryan SuzukiToronto Marlies (TOR)C232001-05-28Yes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Link
Ryder KorczakToronto Marlies (TOR)C222002-09-23Yes174 Lbs5 ft11NoNoProspectNoNo32024-01-20FalseFalsePro & Farm859,167$0$0$No859,167$859,167$-------859,167$859,167$-------NoNo-------
Samuel HeleniusToronto Marlies (TOR)C212002-11-26Yes201 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)D222002-03-25Yes160 Lbs5 ft11NoNoProspectNoNo32024-01-20FalseFalsePro & Farm856,667$0$0$No856,667$856,667$-------856,667$856,667$-------NoNo-------
Tyler TullioToronto Marlies (TOR)RW222002-04-05Yes165 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)G291995-02-06No205 Lbs6 ft3NoNoTrade2024-07-29NoNo32024-01-16FalseFalsePro & Farm4,750,000$4,750,000$3,648,551$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
3724.41191 Lbs6 ft13.001,088,158$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kevin WallJohn 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 FleuryMatthew Robertson20131
4Jack St. IvanyJordan Oesterle10230
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jamieson ReesJohn BeecherKevin Wall60014
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 BeecherKevin Wall60122
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
2Kevin Wall40122Matt TennysonBrad Hunt40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1John BeecherKevin Wall60122
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 BeecherKevin WallJack St. IvanyJordan Oesterle
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jakub VranaJohn BeecherKevin WallJack 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, Matthew Robertson, Matt TennysonCale FleuryMatthew Robertson, Matt Tennyson
Penalty Shots
John Beecher, Kevin Wall, Luca Del Bel Belluz, Alex Steeves, Jakub Vrana
Goalie
#1 : Ville Husso, #2 : Georgi Romanov
Custom OT Lines Forwards
John Beecher, Kevin Wall, 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 Canucks2020000038-51010000024-21010000014-300.0003361093425369224281263875315645200.00%2150.00%023447449.37%25346454.53%16030951.78%425241409186380185
2Calgary Wranglers21000010752100000104311100000032141.000771400934253772242812638691941423133.33%3233.33%123447449.37%25346454.53%16030951.78%425241409186380185
3Coachella Valley Firebirds611003101720-321000100651401002101115-470.58317274400934253225224281263824062341398337.50%20100.00%023447449.37%25346454.53%16030951.78%425241409186380185
4Henderson Silver Knights32100000981211000006601100000032140.667914231093425311722428126381144215697457.14%5260.00%123447449.37%25346454.53%16030951.78%425241409186380185
5Laval Rocket3300000016971100000052322000000117461.0001622380093425312022428126381143338629444.44%4250.00%023447449.37%25346454.53%16030951.78%425241409186380185
6Rochester Americans330000001569220000009271100000064261.000152439009342531272242812638902755705360.00%5260.00%023447449.37%25346454.53%16030951.78%425241409186380185
7Utica Comets11000000312110000003120000000000021.0003690093425336224281263836181122200.00%30100.00%023447449.37%25346454.53%16030951.78%425241409186380185
Total201140032070571310620011035231210520021035341290.72570103173209342537712242812638738232250449361541.67%24962.50%223447449.37%25346454.53%16030951.78%425241409186380185
_Since Last GM Reset201140032070571310620011035231210520021035341290.72570103173209342537712242812638738232250449361541.67%24962.50%223447449.37%25346454.53%16030951.78%425241409186380185
_Vs Conference19104003206756119520011032221010520021035341270.7116797164209342537352242812638702214239427341544.12%21957.14%223447449.37%25346454.53%16030951.78%425241409186380185
_Vs Division13104003203641-56520011018180752002101823-5271.03836518720934253488224281263849815414629520840.00%12558.33%223447449.37%25346454.53%16030951.78%425241409186380185

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2029W17010317377173823225044920
All Games
GPWLOTWOTL SOWSOLGFGA
2011403207057
Home Games
GPWLOTWOTL SOWSOLGFGA
106201103523
Visitor Games
GPWLOTWOTL SOWSOLGFGA
105202103534
Last 10 Games
WLOTWOTL SOWSOL
620200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
361541.67%24962.50%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
2242812638934253
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23447449.37%25346454.53%16030951.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
425241409186380185


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 Marlies-Calgary Wranglers-
34339Springfield Thunderbirds-Toronto Marlies-
36356Toronto Marlies-Belleville Senators-
37369Toronto Marlies-Henderson Silver Knights-
38381Bakersfield Condors-Toronto Marlies-
40402Texas Stars-Toronto Marlies-
42422Toronto Marlies-Springfield Thunderbirds-
43434Toronto Marlies-Tuscon Roadrunners-
44444Bridgeport Sound Tigers-Toronto Marlies-
46468Milwaukee Admirals-Toronto Marlies-
48487Toronto Marlies-Bakersfield Condors-
49495Toronto Marlies-Henderson Silver Knights-
50508Abbotsford Canucks-Toronto Marlies-
52523Toronto Marlies-Abbotsford Canucks-
54542Rockford IceHogs-Toronto Marlies-
56561Rochester Americans-Toronto Marlies-
57579Toronto Marlies-Rochester Americans-
59594Toronto Marlies-Laval Rocket-
60605Colorado Eagles-Toronto Marlies-
62629Calgary Wranglers-Toronto Marlies-
63645Toronto Marlies-Coachella Valley Firebirds-
65661San Jose Barracuda-Toronto Marlies-
66669Toronto Marlies-Colorado Eagles-
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
31 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
733,632$ 3,026,183$ 3,026,183$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
22,926$ 733,632$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 100 22,926$ 2,292,600$




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