Login

Marlies
GP: 20 | W: 15 | L: 5 | OTL: 0 | P: 30
GF: 99 | GA: 54 | PP%: 20.00% | PK%: 62.50%
GM : | Morale : 50 | Team Overall : 74
Next Games #333 vs Roadrunners
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Condors
9-11-0, 18pts
2
FINAL
7 Marlies
15-5-0, 30pts
Team Stats
W1StreakW4
4-6-0Home Record10-2-0
5-5-0Home Record5-3-0
4-6-0Last 10 Games9-1-0
4.50Goals Per Game4.95
5.50Goals Against Per Game2.70
23.81%Power Play Percentage20.00%
69.23%Penalty Kill Percentage62.50%
Silver Knights
9-7-3, 21pts
3
FINAL
4 Marlies
15-5-0, 30pts
Team Stats
OTL1StreakW4
7-3-0Home Record10-2-0
2-4-3Home Record5-3-0
6-3-1Last 10 Games9-1-0
4.63Goals Per Game4.95
4.89Goals Against Per Game2.70
38.46%Power Play Percentage20.00%
88.89%Penalty Kill Percentage62.50%
Roadrunners
7-9-2, 16pts
2024-11-24
Marlies
15-5-0, 30pts
Team Stats
L1StreakW4
6-2-1Home Record10-2-0
1-7-1Away Record5-3-0
4-5-1Last 10 Games9-1-0
5.78Goals Per Game4.95
6.83Goals Against Per Game4.95
5.88%Power Play Percentage20.00%
53.33%Penalty Kill Percentage62.50%
Marlies
15-5-0, 30pts
2024-11-27
Checkers
9-9-1, 19pts
Team Stats
W4StreakL3
10-2-0Home Record6-3-1
5-3-0Away Record3-6-0
9-1-0Last 10 Games3-7-0
4.95Goals Per Game4.58
2.70Goals Against Per Game4.58
20.00%Power Play Percentage33.33%
62.50%Penalty Kill Percentage53.85%
Marlies
15-5-0, 30pts
2024-11-30
Crunch
8-9-1, 17pts
Team Stats
W4StreakL3
10-2-0Home Record5-3-1
5-3-0Away Record3-6-0
9-1-0Last 10 Games4-5-1
4.95Goals Per Game3.72
2.70Goals Against Per Game3.72
20.00%Power Play Percentage16.67%
62.50%Penalty Kill Percentage77.78%
Team Leaders
Max JonesGoals
Max Jones
28
Ivan MiroshnichenkoAssists
Ivan Miroshnichenko
21
Max JonesPoints
Max Jones
41
Max JonesPlus/Minus
Max Jones
32
Joseph WollWins
Joseph Woll
15
Joseph WollSave Percentage
Joseph Woll
0.918

Team Stats
Goals For
99
4.95 GFG
Shots For
570
28.50 Avg
Power Play Percentage
20.0%
4 GF
Offensive Zone Start
30.0%
Goals Against
54
2.70 GAA
Shots Against
656
32.80 Avg
Penalty Kill Percentage
62.5%%
6 GA
Defensive Zone Start
37.0%
Team Info

General Manager
DivisionAtlantic Division
ConferenceEastern Conference
CaptainDeclan Chisholm
Assistant #1
Assistant #2


Arena Info

Capacity5,000
Attendance5,000
Season Tickets5,000


Roster Info

Pro Team22
Farm Team19
Contract Limit41 / 55
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.
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
1Ivan Miroshnichenko (R)0X100.00715296798253558440747343788478050790193950,000$
2Max Jones0X100.00705590828253628441747248788478050790252950,000$
3Reese Johnson (R)24X100.00765392798048558251717147778277050770241907,258$
4Axel Jonsson-Fjallby (R)0X100.00655098788339558340737143778377050760252813,750$
5Chase De Leo58X100.00464182777858458236696940752540050730271840,000$
6Lane Pederson (R)18X100.00466382737678907865606840732540050720252990,675$
7Trevor Kuntar (R)0X100.00496578717582957665576740712540050710222867,500$
8William Bitten (R)14X100.00466383727676887736586740722540050710241952,750$
9Mike Hardman (R)86X100.00455983727668797736586740722540050700241952,750$
10Aidan McDonough (R)0X100.00455984717568797636576740722540050690232925,000$
11Travis Barron0X100.00495577727559687636576740722540050690243750,000$
12Declan Chisholm (R) (C)20X100.00575296788361558840757153808880050820233940,000$
13Santeri Hatakka (R)0X100.00625295778254558640737047788678050790223850,833$
14Ville Heinola (R)0X100.00465182737658557736606753722540050730221925,000$
15William Villeneuve (R)0X100.00465782727663737736606649712540050730211817,778$
16Mikko Kokkonen (R)0X100.00464882727558497636596650712540050720221846,667$
17Simon Lundmark (R)0X100.00456284717575877636576640712540050710221850,833$
18Valtteri Pulli (R)0X100.00456083717569807636566640712540050710222950,000$
Scratches
1Brett Budgell0XXX100.00454083707558457565566640712540050680221750,000$
2Mason Millman (R)0X100.00463882717658457636586640712540050700213818,333$
TEAM AVERAGE100.0052548674786266794263684474435105073
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
1Joseph Woll (R)0100.0069555773726681777576762653050810242797,333$
2Nico Daws (R)0100.0067555369656574726282672550050750221850,833$
Scratches
TEAM AVERAGE100.006855557169667875697972265205078
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
1Max JonesMarlies (TOR)LW192813413255381894274029.79%940021.061016111012116322.22%183810032.0500100723
2Ivan MiroshnichenkoMarlies (TOR)LW20921301400481843155820.93%642421.250222130220120047.06%102549011.4100000202
3Declan ChisholmMarlies (TOR)D20920292700173954202716.67%4947523.77112217101213100%02341011.2200000211
4Chase De LeoMarlies (TOR)LW20101020142091956193417.86%439519.7801123000001044.00%25257001.0100000110
5Reese JohnsonMarlies (TOR)C2041519600453839253610.26%1338819.410222140000130056.92%253419000.9800000020
6Lane PedersonMarlies (TOR)C202161826222025183112306.45%337218.62000215000001051.26%238181000.9700004000
7Santeri HatakkaMarlies (TOR)D2099181000183246192619.57%3345522.7901119011013200%02326000.7900000120
8Axel Jonsson-FjallbyMarlies (TOR)LW209918700442458163915.52%736118.060003100000132138.10%21303001.0000000022
9Ville HeinolaMarlies (TOR)D20510151040144426101419.23%4038019.01202212000012100%0114000.7900000020
10William VilleneuveMarlies (TOR)D20281013551527209510.00%1436718.3700001200000000%0517000.5400100000
11Brandt ClarkeMaple LeafsD7369400216199715.79%1915021.560002700001010%0714001.1900000003
12Mikko KokkonenMarlies (TOR)D20268122014391971310.53%2535917.9700000000011100%049000.4500000001
13Mike HardmanMarlies (TOR)LW2026812401310227159.09%330415.2100001000000040.00%1073000.5300000000
14Brett BudgellMarlies (TOR)C/LW/RW60661420455250%09616.0601103000000050.00%822001.2500000000
15Trevor KuntarMarlies (TOR)C2006653620202217650%533816.9400000000000055.41%15792000.3500220000
16William BittenMarlies (TOR)RW20336546201812112727.27%637318.70000014000000031.25%3288000.3200022001
17Simon LundmarkMarlies (TOR)D1312318121051472514.29%821616.680000000000000%0111000.2800020000
18Travis BarronMarlies (TOR)LW2011222014420250.00%1884.4400000000000040.00%1010000.4500000000
19Aidan McDonoughMarlies (TOR)LW20000000021010%0321.6300000000000066.67%30000000000000
20Valtteri PulliMarlies (TOR)D15000000000000%000.050000000000000%00000000000000
Team Total or Average360991672662311428036340157020736917.37%245598316.62481224148235410315551.08%877297186050.8900466131213
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
1Joseph WollMarlies (TOR)2015500.9182.70120201546564111000200130
Team Total or Average2015500.9182.7012020154656411100200130


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 RemainingSalary 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
Aidan McDonough Marlies (TOR)LW231999-11-06USAYes190 Lbs6 ft3NoNoProspectNoNo22024-07-02FalseFalsePro & Farm925,000$698,469$0$0$No925,000$ Restricted----925,000$--------No--------Link / NHL Link
Axel Jonsson-Fjallby Marlies (TOR)LW251998-02-10SWEYes189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm813,750$614,464$0$0$No813,750$ Restricted----813,750$--------No--------Link / NHL Link
Brett Budgell Marlies (TOR)C/LW/RW222001-06-01USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-08FalseFalsePro & Farm750,000$566,327$0$0$NoRestricted----------------------Link / NHL Link
Chase De Leo Marlies (TOR)LW271995-10-25USANo185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm840,000$634,286$0$0$NoUnrestricted----------------------Link / NHL Link
Declan Chisholm Marlies (TOR)D232000-01-12CANYes194 Lbs6 ft2NoNoFree AgentNoNo32024-10-08FalseFalsePro & Farm940,000$709,796$0$0$No940,000$940,000$ Restricted----940,000$940,000$-------NoNo-------Link / NHL Link
Ivan Miroshnichenko Marlies (TOR)LW192004-02-04RUSYes185 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm950,000$717,347$0$0$No950,000$950,000$Restricted----950,000$950,000$-------NoNo-------Link / NHL Link
Joseph Woll Marlies (TOR)G241998-07-12USAYes203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm797,333$602,068$0$0$No797,333$ Restricted----797,333$--------No--------Link / NHL Link
Lane Pederson Marlies (TOR)C251997-08-04CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,675$748,061$0$0$No990,675$Unrestricted----990,675$--------No--------Link / NHL Link
Mason Millman Marlies (TOR)D212001-07-18CANYes176 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm818,333$617,925$0$0$No818,333$818,333$ Restricted----818,333$818,333$-------NoNo-------Link / NHL Link
Max Jones Marlies (TOR)LW251998-02-17USANo216 Lbs6 ft3NoNoFree AgentNoNo22024-10-08FalseFalsePro & Farm950,000$717,347$0$0$No950,000$ Restricted----950,000$--------No--------Link / NHL Link
Mike Hardman Marlies (TOR)LW241999-02-05USAYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm952,750$719,423$0$0$No Restricted----------------------Link / NHL Link
Mikko Kokkonen Marlies (TOR)D222001-01-18FINYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm846,667$639,320$0$0$NoRestricted----------------------Link / NHL Link
Nico Daws Marlies (TOR)G222000-12-22CANYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm850,833$642,466$0$0$NoRestricted----------------------Link / NHL Link
Reese Johnson Marlies (TOR)C241998-07-10CANYes193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm907,258$685,072$0$0$No Restricted----------------------Link / NHL Link
Santeri Hatakka Marlies (TOR)D222001-01-15FINYes191 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm850,833$642,466$0$0$No850,833$850,833$ Restricted----850,833$850,833$-------NoNo-------Link / NHL Link
Simon Lundmark Marlies (TOR)D222000-10-08SWEYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,833$642,466$0$0$No Restricted----------------------Link / NHL Link
Travis Barron Marlies (TOR)LW241998-11-17CANNo205 Lbs6 ft1NoNoFree AgentNoNo32024-10-08FalseFalsePro & Farm750,000$566,327$0$0$No750,000$750,000$ Restricted----750,000$750,000$-------NoNo-------Link / NHL Link
Trevor Kuntar Marlies (TOR)C222001-06-20USAYes200 Lbs6 ft0NoNoProspectNoNo22024-07-02FalseFalsePro & Farm867,500$655,051$0$0$No867,500$ Restricted----867,500$--------No--------Link / NHL Link
Valtteri Pulli Marlies (TOR)D222001-03-13FINYes210 Lbs6 ft5NoNoProspectNoNo22024-07-02FalseFalsePro & Farm950,000$717,347$0$0$No950,000$ Restricted----950,000$--------No--------Link / NHL Link
Ville Heinola Marlies (TOR)D222001-03-02FINYes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$698,469$0$0$NoRestricted----------------------Link / NHL Link
William Bitten Marlies (TOR)RW241998-07-10CANYes184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm952,750$719,423$0$0$No Restricted----------------------Link / NHL Link
William Villeneuve Marlies (TOR)D212002-03-20CANYes184 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm817,778$617,506$0$0$NoRestricted----------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2222.95194 Lbs6 ft11.77877,150$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ivan MiroshnichenkoReese JohnsonWilliam Bitten30122
2Max JonesLane PedersonMike Hardman30122
3Axel Jonsson-FjallbyTrevor KuntarChase De Leo20122
4Chase De LeoIvan MiroshnichenkoMax Jones20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Declan ChisholmSimon Lundmark30122
2Santeri HatakkaVille Heinola30122
3William VilleneuveMikko Kokkonen20122
4Declan ChisholmSanteri Hatakka20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ivan MiroshnichenkoReese JohnsonWilliam Bitten50122
2Max JonesLane PedersonAxel Jonsson-Fjallby50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Declan ChisholmWilliam Villeneuve50122
2Santeri HatakkaVille Heinola50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ivan MiroshnichenkoMax Jones50122
2Reese JohnsonAxel Jonsson-Fjallby50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Declan ChisholmMikko Kokkonen50122
2Santeri HatakkaVille Heinola50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ivan Miroshnichenko50122Declan ChisholmMikko Kokkonen50122
2Max Jones50122Santeri HatakkaVille Heinola50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ivan MiroshnichenkoMax Jones50122
2Reese JohnsonAxel Jonsson-Fjallby50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Declan ChisholmWilliam Villeneuve50122
2Santeri HatakkaVille Heinola50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ivan MiroshnichenkoReese JohnsonWilliam BittenDeclan ChisholmSanteri Hatakka
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ivan MiroshnichenkoReese JohnsonWilliam BittenDeclan ChisholmSanteri Hatakka
Extra Forwards
Normal PowerPlayPenalty Kill
Mike Hardman, Travis Barron, Aidan McDonoughMike Hardman, Travis BarronAidan McDonough
Extra Defensemen
Normal PowerPlayPenalty Kill
William Villeneuve, Mikko Kokkonen, Santeri HatakkaWilliam VilleneuveMikko Kokkonen, Santeri Hatakka
Penalty Shots
Ivan Miroshnichenko, Max Jones, Reese Johnson, Axel Jonsson-Fjallby, Chase De Leo
Goalie
#1 : Joseph Woll, #2 : Nico Daws
Custom OT Lines Forwards
Ivan Miroshnichenko, Max Jones, Reese Johnson, Axel Jonsson-Fjallby, Chase De Leo, Lane Pederson, Lane Pederson, Trevor Kuntar, William Bitten, Mike Hardman, Travis Barron
Custom OT Lines Defensemen
Declan Chisholm, Mikko Kokkonen, Santeri Hatakka, Ville Heinola, 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
1Bears11000000624000000000001100000062421.000611170040283013218719818143710291411100.00%2150.00%112826248.85%17832355.11%14228949.13%427269439159336172
2Bruins2200000014212110000007161100000071641.00014243800402830155187198181464261040100.00%000%012826248.85%17832355.11%14228949.13%427269439159336172
3Comets1010000013-2000000000001010000013-200.0001230040283013318719818142110020200.00%000%012826248.85%17832355.11%14228949.13%427269439159336172
4Condors11000000725110000007250000000000021.00071421004028301331871981814372044113133.33%2150.00%012826248.85%17832355.11%14228949.13%427269439159336172
5Crunch11000000413110000004130000000000021.00048120040283012518719818144010015100.00%000%012826248.85%17832355.11%14228949.13%427269439159336172
6Firebirds11000000523110000005230000000000021.00059140040283012518719818142715414100.00%2150.00%012826248.85%17832355.11%14228949.13%427269439159336172
7Griffins11000000826110000008260000000000021.00081220004028301401871981814287518100.00%000%012826248.85%17832355.11%14228949.13%427269439159336172
8Monsters11000000523000000000001100000052321.00059140040283012818719818143910010100.00%000%012826248.85%17832355.11%14228949.13%427269439159336172
9Moose1010000045-1000000000001010000045-100.0004812004028301301871981814399215000%10100.00%012826248.85%17832355.11%14228949.13%427269439159336172
10Penguins11000000422110000004220000000000021.00046100040283012818719818143114425100.00%20100.00%012826248.85%17832355.11%14228949.13%427269439159336172
11Reign11000000642110000006420000000000021.0006915004028301271871981814281551611100.00%000%012826248.85%17832355.11%14228949.13%427269439159336172
12Rocket20200000911-21010000045-11010000056-100.0009152400402830160187198181467202392150.00%110.00%012826248.85%17832355.11%14228949.13%427269439159336172
13Senators11000000541110000005410000000000021.00057120040283012618719818143713210100.00%110.00%012826248.85%17832355.11%14228949.13%427269439159336172
14Silver Knights10001000431100010004310000000000021.00045900402830123187198181446211930000%20100.00%112826248.85%17832355.11%14228949.13%427269439159336172
15Thunderbirds211000008621010000046-21100000040420.500812200140283014918719818145729242300.00%10100.00%012826248.85%17832355.11%14228949.13%427269439159336172
16Wild11000000514000000000001100000051421.0005914004028301261871981814335922100.00%2150.00%012826248.85%17832355.11%14228949.13%427269439159336172
17Wolf Pack11000000422110000004220000000000021.00047110040283013018719818142511522000%000%012826248.85%17832355.11%14228949.13%427269439159336172
Total201450100099544512920100062342885300000372017300.75099167266014028301570187198181465624514236320420.00%16662.50%212826248.85%17832355.11%14228949.13%427269439159336172
_Since Last GM Reset201450100099544512920100062342885300000372017300.75099167266014028301570187198181465624514236320420.00%16662.50%212826248.85%17832355.11%14228949.13%427269439159336172
_Vs Conference1293000006031297610000036171953200000241410180.7506010116100402830135718719818143891315721311218.18%6350.00%112826248.85%17832355.11%14228949.13%427269439159336172
_Vs Division732000004020205310000028131520100000127560.4294066106004028301206187198181423676191226116.67%220.00%012826248.85%17832355.11%14228949.13%427269439159336172

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2030W49916726657065624514236301
All Games
GPWLOTWOTL SOWSOLGFGA
2014510009954
Home Games
GPWLOTWOTL SOWSOLGFGA
129210006234
Visitor Games
GPWLOTWOTL SOWSOLGFGA
85300003720
Last 10 Games
WLOTWOTL SOWSOL
910000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20420.00%16662.50%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
18719818144028301
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12826248.85%17832355.11%14228949.13%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
427269439159336172


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 Score Home Score ST OT SO RI Link
6 - 2024-10-096Marlies5Rocket6LBoxScore
7 - 2024-10-1015Marlies1Comets3LBoxScore
9 - 2024-10-1226Penguins2Marlies4WBoxScore
13 - 2024-10-1658Reign4Marlies6WBoxScore
16 - 2024-10-1979Wolf Pack2Marlies4WBoxScore
18 - 2024-10-2191Crunch1Marlies4WBoxScore
19 - 2024-10-2297Marlies5Monsters2WBoxScore
21 - 2024-10-24110Thunderbirds6Marlies4LBoxScore
23 - 2024-10-26125Marlies7Bruins1WBoxScore
25 - 2024-10-28143Marlies4Moose5LBoxScore
28 - 2024-10-31161Firebirds2Marlies5WBoxScore
30 - 2024-11-02181Marlies4Thunderbirds0WBoxScore
31 - 2024-11-03189Marlies5Wild1WBoxScore
33 - 2024-11-05195Bruins1Marlies7WBoxScore
36 - 2024-11-08220Griffins2Marlies8WBoxScore
37 - 2024-11-09227Rocket5Marlies4LBoxScore
40 - 2024-11-12245Senators4Marlies5WBoxScore
41 - 2024-11-13253Marlies6Bears2WBoxScore
44 - 2024-11-16274Condors2Marlies7WBoxScore
48 - 2024-11-20301Silver Knights3Marlies4WXBoxScore
52 - 2024-11-24333Roadrunners-Marlies-
55 - 2024-11-27352Marlies-Checkers-
58 - 2024-11-30378Marlies-Crunch-
60 - 2024-12-02394IceHogs-Marlies-
62 - 2024-12-04406Admirals-Marlies-
64 - 2024-12-06419Bears-Marlies-
65 - 2024-12-07433Marlies-Penguins-
68 - 2024-12-10446Marlies-Comets-
70 - 2024-12-12459Gulls-Marlies-
72 - 2024-12-14479Marlies-Griffins-
73 - 2024-12-15490Americans-Marlies-
76 - 2024-12-18508Marlies-Stars-
78 - 2024-12-20521Marlies-Americans-
79 - 2024-12-21532Islanders-Marlies-
81 - 2024-12-23546Moose-Marlies-
85 - 2024-12-27559Marlies-Griffins-
86 - 2024-12-28571Bears-Marlies-
89 - 2024-12-31590Islanders-Marlies-
91 - 2025-01-02607Marlies-Islanders-
93 - 2025-01-04623Bruins-Marlies-
94 - 2025-01-05635Phantoms-Marlies-
96 - 2025-01-07644Marlies-Phantoms-
98 - 2025-01-09659Marlies-Wolves-
100 - 2025-01-11672Canucks-Marlies-
103 - 2025-01-14693Stars-Marlies-
105 - 2025-01-16707Comets-Marlies-
107 - 2025-01-18726Marlies-Rocket-
109 - 2025-01-20744Crunch-Marlies-
111 - 2025-01-22757Monsters-Marlies-
114 - 2025-01-25780Marlies-Senators-
118 - 2025-01-29807Wild-Marlies-
121 - 2025-02-01833Marlies-Condors-
124 - 2025-02-04853Marlies-Wranglers-
126 - 2025-02-06869Marlies-Firebirds-
128 - 2025-02-08884Marlies-Canucks-
142 - 2025-02-22900Wolves-Marlies-
143 - 2025-02-23912Marlies-IceHogs-
145 - 2025-02-25918Marlies-Bruins-
148 - 2025-02-28945Marlies-Wolf Pack-
150 - 2025-03-02961Marlies-Penguins-
151 - 2025-03-03971Barracuda-Marlies-
153 - 2025-03-05985Marlies-Silver Knights-
156 - 2025-03-081007Marlies-Eagles-
158 - 2025-03-101024Marlies-Roadrunners-
161 - 2025-03-131040Checkers-Marlies-
163 - 2025-03-151059Senators-Marlies-
165 - 2025-03-171076Wranglers-Marlies-
167 - 2025-03-191087Eagles-Marlies-
168 - 2025-03-201091Marlies-Wolf Pack-
170 - 2025-03-221114Marlies-Admirals-
173 - 2025-03-251130Phantoms-Marlies-
175 - 2025-03-271152Marlies-Barracuda-
177 - 2025-03-291165Marlies-Reign-
178 - 2025-03-301176Marlies-Gulls-
181 - 2025-04-021194Checkers-Marlies-
184 - 2025-04-051216Monsters-Marlies-
187 - 2025-04-081237Marlies-Checkers-
188 - 2025-04-091245Marlies-Crunch-
191 - 2025-04-121269Rocket-Marlies-
192 - 2025-04-131279Marlies-Wolves-
194 - 2025-04-151292Marlies-Americans-
196 - 2025-04-171308Griffins-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance42,00018,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
29 5000 - 100.00% 108,375$1,300,500$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
4,698,086$ 19,297,292$ 19,297,292$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
98,456$ 4,698,086$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,142,875$ 148 98,456$ 14,571,488$




Marlies Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Marlies Goalies Stat Leaders (Regular Season)

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

Marlies Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Marlies Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Marlies Goalies Stat Leaders (Play-Off)

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