Marlies
GP: 75 | W: 50 | L: 22 | OTL: 3 | P: 103
GF: 364 | GA: 251 | PP%: 29.41% | PK%: 61.67%
Zachary Brideau | 50 | 74
#1216 vs Monsters


Marlies
50-22-3, 103pts
6
FINAL
5 Gulls
33-39-3, 69pts
Team Stats
OTL1OTL1
32-5-119-17-2
18-17-214-22-1
4-5-12-7-1
4.855.35
3.355.61
29.41%31.88%
61.67%73.44%
Checkers
45-27-3, 93pts
6
FINAL
5 Marlies
50-22-3, 103pts
Team Stats
W1OTL1
26-9-232-5-1
19-18-118-17-2
1-8-14-5-1
4.764.85
4.283.35
22.06%29.41%
70.42%61.67%
Monsters
34-33-7, 75pts
2025-04-05
Marlies
50-22-3, 103pts
L1OTL1
21-11-532-5-1
13-22-218-17-2
1-7-24-5-1
5.014.85
5.014.85
34.29%29.41%
68.09%61.67%
Marlies
50-22-3, 103pts
2025-04-08
Checkers
45-27-3, 93pts
OTL1W1
32-5-126-9-2
18-17-219-18-1
4-5-11-8-1
4.854.76
3.354.76
29.41%22.06%
61.67%70.42%
Marlies
50-22-3, 103pts
2025-04-09
Crunch
24-49-2, 50pts
OTL1L3
32-5-113-22-2
18-17-211-27-0
4-5-13-7-0
4.854.45
3.354.45
29.41%30.51%
61.67%71.21%
Max Jones
Max Jones
69
Max Jones
Max Jones
74
Max Jones
Max Jones
143
Max Jones
Max Jones
68
Joseph Woll
Joseph Woll
46
Joseph Woll
Joseph Woll
0.907


364
4.85 GFG

2106
28.08 Avg

29.4%
20 GF

30.7%

251
3.35 GAA

2466
32.88 Avg

61.7%%
23 GA

35.7%


Zachary Brideau
Atlantic Division
Eastern Conference




5,000
5,000
5,000




23
19
42 / 55
29


PriorityDescription
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
# #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Ivan Miroshnichenko (R)0X100.00715296798253558440747343788478050790203950,000$
2Max Jones0X100.00705590828253628441747248788478050790262950,000$
3Reese Johnson (R)24X100.00765392798048558251717147778277050770251907,258$
4Axel Jonsson-Fjallby (R)0X100.00655098788339558340737143778377050760262813,750$
5Chase De Leo58X100.00464182777858458236696940752540050730281840,000$
6Lane Pederson (R)18X100.00466382737678907865606840732540050720262990,675$
7Trevor Kuntar (R)0X100.00496578717582957665576740712540050710232867,500$
8William Bitten (R)14X100.00466383727676887736586740722540050710251952,750$
9Mike Hardman (R)86X100.00455983727668797736586740722540050700251952,750$
10Aidan McDonough (R)0X100.00455984717568797636576740722540050690242925,000$
11Travis Barron0X100.00495577727559687636576740722540050690253750,000$
12Declan Chisholm (R)20X100.00575296788361558840757153808880050820243940,000$
13Santeri Hatakka (R)0X100.00625295778254558640737047788678050790233850,833$
14Ville Heinola (R)0X100.00465182737658557736606753722540050730231925,000$
15William Villeneuve (R)0X100.00465782727663737736606649712540050730221817,778$
16Mikko Kokkonen (R)0X100.00464882727558497636596650712540050720231846,667$
17Simon Lundmark (R)0X100.00456284717575877636576640712540050710231850,833$
18Valtteri Pulli (R)0X100.00456083717569807636566640712540050710232950,000$
19Mason Millman (R)0X100.00463882717658457636586640712540050700223818,333$
1Brett Budgell0XXX100.00454083707558457565566640712540050680231750,000$
100.0052548674786266794263684474435105073
PriorityDescription
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
# #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Joseph Woll (R)0100.0069555773726681777576762653050810252797,333$
2Ales Stezka0100.0073555572666171676775682555050760271750,000$
3Nico Daws (R)0100.0067555369656574726282672550050750231850,833$
100.007055557168647572687870255305077
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# GP 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)LW746974143689517410631210218022.12%52157521.29538224511224114447.57%10318941031.820310015710
2Ivan MiroshnichenkoMarlies (TOR)LW7554741283660163922367919022.88%32160821.4427910500220416249.77%42616941151.59030001155
3Declan ChisholmMarlies (TOR)D663765102610062164189928419.58%159161924.543251248202341220%078112021.2601000954
4Reese JohnsonMarlies (TOR)C7535559014601831242047514217.16%47144319.252798511013451153.00%93413540011.2533000174
5Chase De LeoMarlies (TOR)LW75374279428069622016113118.41%20148019.7501123000004035.00%809527001.0701000435
6Santeri HatakkaMarlies (TOR)D752950795620105117144737520.14%111178923.86246545011046530%08184000.8801000378
7Axel Jonsson-FjallbyMarlies (TOR)LW752946751800136932046613714.22%31135118.0214510440112464133.33%5115332011.1101000144
8Lane PedersonMarlies (TOR)C7513486152167115708113641949.56%26138218.43134646000003155.13%8186213000.88017313000
9Ville HeinolaMarlies (TOR)D7515375242603614397393015.46%121135218.03404648000043300%0875000.7700000030
10Mike HardmanMarlies (TOR)LW75132235382210624689296214.61%17132517.6801108000002141.82%553916000.5300020021
11William VilleneuveMarlies (TOR)D75426301695501325042288.00%68141818.9103315000006000%01575000.4200100000
12Mikko KokkonenMarlies (TOR)D75523281380561426333367.94%103134017.8700005000043200%01364000.4200000101
13Trevor KuntarMarlies (TOR)C7541923208860112715014218.00%27127617.0200000000000054.94%6992117000.3600435001
14William BittenMarlies (TOR)RW7561218127440625441103214.63%16140618.75000152000001035.29%681423000.2600035011
15Simon LundmarkMarlies (TOR)D6861016392315296432161518.75%50118417.410000000002110%0650000.2700030000
16Brandt ClarkeMaple LeafsD7369400216199715.79%1915021.560002700001010%0714001.1900000003
17Brett BudgellMarlies (TOR)C/LW/RW60661420455250%09616.0601103000000050.00%822001.2500000000
18Travis BarronMarlies (TOR)LW7524615203916215169.52%63424.5700012000000035.85%5373000.3500000000
19Valtteri PulliMarlies (TOR)D70134-14031491311.11%71812.590000000000000%065000.4400000000
20Aidan McDonoughMarlies (TOR)LW75022800984330%51491.9900000000090033.33%1211000.2700000000
21Mason MillmanMarlies (TOR)D9000000000000%000.040000000000000%00000000000000
1350362624986567436250142615502106792129117.19%9172247716.652036568651445910370481751.71%330711017351120.88314131423454447
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Joseph WollMarlies (TOR)65461720.9073.0839184120121511318300.85714650172
2Ales StezkaMarlies (TOR)104510.8444.8860300493151830000100000
75502230.8993.32452141250246615013014750172


PriorityDescription
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)LW241999-11-06USAYes190 Lbs6 ft3NoNoProspectNoNo22024-07-02FalseFalsePro & Farm925,000$66,071$0$0$No925,000$ Restricted----925,000$--------No--------Link / NHL Link
Ales Stezka Marlies (TOR)G271997-01-06CZENo203 Lbs6 ft5NoNoFree AgentNoNo12025-03-14FalseFalsePro & Farm750,000$53,571$0$0$NoUnrestricted----------------------Link / NHL Link
Axel Jonsson-Fjallby Marlies (TOR)LW261998-02-10SWEYes189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm813,750$58,125$0$0$No813,750$Unrestricted----813,750$--------No--------Link / NHL Link
Brett Budgell Marlies (TOR)C/LW/RW232001-06-01USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-08FalseFalsePro & Farm750,000$53,571$0$0$NoRestricted----------------------Link / NHL Link
Chase De Leo Marlies (TOR)LW281995-10-25USANo185 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm840,000$60,000$0$0$NoUnrestricted----------------------Link / NHL Link
Declan Chisholm Marlies (TOR)D242000-01-12CANYes194 Lbs6 ft2NoNoFree AgentNoNo32024-10-08FalseFalsePro & Farm940,000$67,143$0$0$No940,000$940,000$ Restricted----940,000$940,000$-------NoNo-------Link / NHL Link
Ivan Miroshnichenko Marlies (TOR)LW202004-02-04RUSYes185 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm950,000$67,857$0$0$No950,000$950,000$Restricted----950,000$950,000$-------NoNo-------Link / NHL Link
Joseph Woll Marlies (TOR)G251998-07-12USAYes203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm797,333$56,952$0$0$No797,333$ Restricted----797,333$--------No--------Link / NHL Link
Lane Pederson Marlies (TOR)C261997-08-04CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,675$70,762$0$0$No990,675$Unrestricted----990,675$--------No--------Link / NHL Link
Mason Millman Marlies (TOR)D222001-07-18CANYes176 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm818,333$58,452$0$0$No818,333$818,333$ Restricted----818,333$818,333$-------NoNo-------Link / NHL Link
Max Jones Marlies (TOR)LW261998-02-17USANo216 Lbs6 ft3NoNoFree AgentNoNo22024-10-08FalseFalsePro & Farm950,000$67,857$0$0$No950,000$Unrestricted----950,000$--------No--------Link / NHL Link
Mike Hardman Marlies (TOR)LW251999-02-05USAYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm952,750$68,054$0$0$No Restricted----------------------Link / NHL Link
Mikko Kokkonen Marlies (TOR)D232001-01-18FINYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm846,667$60,476$0$0$No Restricted----------------------Link / NHL Link
Nico Daws Marlies (TOR)G232000-12-22CANYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm850,833$60,774$0$0$No Restricted----------------------Link / NHL Link
Reese Johnson Marlies (TOR)C251998-07-10CANYes193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm907,258$64,804$0$0$No Restricted----------------------Link / NHL Link
Santeri Hatakka Marlies (TOR)D232001-01-15FINYes191 Lbs6 ft1NoNoProspectNoNo32024-07-02FalseFalsePro & Farm850,833$60,774$0$0$No850,833$850,833$ Restricted----850,833$850,833$-------NoNo-------Link / NHL Link
Simon Lundmark Marlies (TOR)D232000-10-08SWEYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,833$60,774$0$0$No Restricted----------------------Link / NHL Link
Travis Barron Marlies (TOR)LW251998-11-17CANNo205 Lbs6 ft1NoNoFree AgentNoNo32024-10-08FalseFalsePro & Farm750,000$53,571$0$0$No750,000$750,000$ Restricted----750,000$750,000$-------NoNo-------Link / NHL Link
Trevor Kuntar Marlies (TOR)C232001-06-20USAYes200 Lbs6 ft0NoNoProspectNoNo22024-07-02FalseFalsePro & Farm867,500$61,964$0$0$No867,500$ Restricted----867,500$--------No--------Link / NHL Link
Valtteri Pulli Marlies (TOR)D232001-03-13FINYes210 Lbs6 ft5NoNoProspectNoNo22024-07-02FalseFalsePro & Farm950,000$67,857$0$0$No950,000$ Restricted----950,000$--------No--------Link / NHL Link
Ville Heinola Marlies (TOR)D232001-03-02FINYes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$66,071$0$0$No Restricted----------------------Link / NHL Link
William Bitten Marlies (TOR)RW251998-07-10CANYes184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm952,750$68,054$0$0$No Restricted----------------------Link / NHL Link
William Villeneuve Marlies (TOR)D222002-03-20CANYes184 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm817,778$58,413$0$0$NoRestricted----------------------Link / NHL Link
2324.09195 Lbs6 ft21.74871,621$



1Ivan MiroshnichenkoReese JohnsonWilliam Bitten30122
2Max JonesLane PedersonMike Hardman30122
3Axel Jonsson-FjallbyTrevor KuntarChase De Leo20122
4Chase De LeoIvan MiroshnichenkoMax Jones20122
1Valtteri PulliSimon Lundmark30122
2Santeri HatakkaVille Heinola30122
3William VilleneuveMikko Kokkonen20122
4William VilleneuveSanteri Hatakka20122
1Ivan MiroshnichenkoReese JohnsonWilliam Bitten50122
2Max JonesLane PedersonAxel Jonsson-Fjallby50122
1Mikko KokkonenWilliam Villeneuve50122
2Santeri HatakkaVille Heinola50122
1Ivan MiroshnichenkoMax Jones50122
2Reese JohnsonAxel Jonsson-Fjallby50122
1William VilleneuveMikko Kokkonen50122
2Santeri HatakkaVille Heinola50122
1Ivan Miroshnichenko50122William VilleneuveMikko Kokkonen50122
2Max Jones50122Santeri HatakkaVille Heinola50122
1Ivan MiroshnichenkoMax Jones50122
2Reese JohnsonAxel Jonsson-Fjallby50122
1Mikko KokkonenWilliam Villeneuve50122
2Santeri HatakkaVille Heinola50122
Ivan MiroshnichenkoReese JohnsonWilliam BittenWilliam VilleneuveSanteri Hatakka
Ivan MiroshnichenkoReese JohnsonWilliam BittenWilliam VilleneuveSanteri Hatakka
Mike Hardman, Travis Barron, Aidan McDonoughMike Hardman, Travis BarronAidan McDonough
William Villeneuve, Mikko Kokkonen, Santeri HatakkaWilliam VilleneuveMikko Kokkonen, Santeri Hatakka
Ivan Miroshnichenko, Max Jones, Reese Johnson, Axel Jonsson-Fjallby, Chase De Leo
#1 : Ales Stezka, #2 : Nico Daws
Ivan Miroshnichenko, Max Jones, Reese Johnson, Axel Jonsson-Fjallby, Chase De Leo, Lane Pederson, Lane Pederson, Trevor Kuntar, William Bitten, Mike Hardman, Travis Barron
Simon Lundmark, 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
1Admirals2110000078-1110000006421010000014-320.50071219001391091107586437057442848200352150.00%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
2Americans21100000862110000006151010000025-320.500815230013910911074964370574428642103711100.00%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
3Barracuda211000001275110000008171010000046-220.50012223400139109110763643705744285561539000%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
4Bears33000000165112200000010371100000062461.00016304600139109110786643705744281243546603266.67%8187.50%1502100450.00%638116854.62%570109751.96%156996816786071275647
5Bruins440000002791822000000134922000000145981.00027447100139109110711664370574428131582785200.00%110.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
6Canucks20200000712-51010000026-41010000056-100.0007121900139109110753643705744286821239200.00%110.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
7Checkers311001002417721000100211291010000035-230.5002440640013910911079164370574428993212583133.33%10100.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
8Comets31200000711-4110000005232020000029-720.33371320001391091107756437057442895370524125.00%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
9Condors220000001486110000007251100000076141.0001426400013910911076964370574428723649285240.00%2150.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
10Crunch330000002071322000000164121100000043161.00020335300139109110783643705744281154010647228.57%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
11Eagles2110000078-11010000035-21100000043120.50071118001391091107516437057442864312020100.00%5340.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
12Firebirds21100000880110000005231010000036-320.5008152300139109110749643705744285632431100.00%2150.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
13Griffins33000000197121100000082622000000115661.000193150001391091107926437057442888231762200.00%10100.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
14Gulls220000001183110000005321100000065141.00011213200139109110753643705744287645192611100.00%7271.43%1502100450.00%638116854.62%570109751.96%156996816786071275647
15IceHogs21100000752110000004131010000034-120.50071219001391091107536437057442877291134000%3233.33%0502100450.00%638116854.62%570109751.96%156996816786071275647
16Islanders31001010151052100001010641000100054161.0001525400013910911077664370574428108371152200.00%3166.67%1502100450.00%638116854.62%570109751.96%156996816786071275647
17Monsters220000001257110000007341100000052341.0001221330013910911076464370574428683010303266.67%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
18Moose211000001183110000007341010000045-120.5001121320013910911075664370574428692263411100.00%3166.67%0502100450.00%638116854.62%570109751.96%156996816786071275647
19Penguins310010011192110000004222000100177050.833111829001391091107826437057442893431072300.00%5260.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
20Phantoms31001100141222100100011831000010034-150.8331424380013910911079164370574428793017555120.00%10100.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
21Reign21100000910-1110000006421010000036-320.500914230013910911076164370574428582712322150.00%110.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
22Roadrunners220000001028110000005141100000051441.0001018280013910911075464370574428692819504250.00%20100.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
23Rocket303000001114-31010000045-12020000079-200.0001119300013910911078564370574428108364514125.00%2150.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
24Senators32100000131122200000010731010000034-140.667132033001391091107736437057442810430459100.00%2150.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
25Silver Knights21001000853100010004311100000042241.00081321001391091107416437057442879382950100.00%20100.00%1502100450.00%638116854.62%570109751.96%156996816786071275647
26Stars2200000014311110000008261100000061541.000142741001391091107546437057442856182542100.00%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
27Thunderbirds211000008621010000046-21100000040420.5008122001139109110749643705744285729242300.00%10100.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
28Wild211000006421010000013-21100000051420.50061117001391091107596437057442868251140100.00%3233.33%0502100450.00%638116854.62%570109751.96%156996816786071275647
29Wolf Pack321000001293110000004222110000087140.66712193100139109110790643705744288823759000%10100.00%0502100450.00%638116854.62%570109751.96%156996816786071275647
30Wolves20100010810-2100000106511010000025-320.50081220001391091107616437057442859185513133.33%000%0502100450.00%638116854.62%570109751.96%156996816786071275647
31Wranglers21100000871110000007341010000014-320.50081321001391091107696437057442871173637000%3233.33%0502100450.00%638116854.62%570109751.96%156996816786071275647
Total75442204221364251113382850212021711510237161702101147136111030.68736462498801139109110721066437057442824669174401426682029.41%602361.67%4502100450.00%638116854.62%570109751.96%156996816786071275647
_Since Last GM Reset75442204221364251113382850212021711510237161702101147136111030.68736462498801139109110721066437057442824669174401426682029.41%602361.67%4502100450.00%638116854.62%570109751.96%156996816786071275647
_Vs Conference43251003221217142752217101120135666921890210182766630.7332173645810013910911071214643705744281423493180847431227.91%25772.00%2502100450.00%638116854.62%570109751.96%156996816786071275647
_Vs Division2111601200122715111810110078354310350010044368260.619122202324001391091107589643705744287092407441620525.00%7357.14%0502100450.00%638116854.62%570109751.96%156996816786071275647

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
75103OTL136462498821062466917440142601
All Games
GPWLOTWOTL SOWSOLGFGA
7544224221364251
Home Games
GPWLOTWOTL SOWSOLGFGA
382852120217115
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3716172101147136
Last 10 Games
WLOTWOTL SOWSOL
450100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
682029.41%602361.67%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
643705744281391091107
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
502100450.00%638116854.62%570109751.96%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
156996816786071275647


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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 - 2024-11-24333Roadrunners1Marlies5WBoxScore
55 - 2024-11-27352Marlies3Checkers5LBoxScore
58 - 2024-11-30378Marlies4Crunch3WBoxScore
60 - 2024-12-02394IceHogs1Marlies4WBoxScore
62 - 2024-12-04406Admirals4Marlies6WBoxScore
64 - 2024-12-06419Bears1Marlies6WBoxScore
65 - 2024-12-07433Marlies5Penguins4WXBoxScore
68 - 2024-12-10446Marlies1Comets6LBoxScore
70 - 2024-12-12459Gulls3Marlies5WBoxScore
72 - 2024-12-14479Marlies5Griffins3WBoxScore
73 - 2024-12-15490Americans1Marlies6WBoxScore
76 - 2024-12-18508Marlies6Stars1WBoxScore
78 - 2024-12-20521Marlies2Americans5LBoxScore
79 - 2024-12-21532Islanders2Marlies5WBoxScore
81 - 2024-12-23546Moose3Marlies7WBoxScore
85 - 2024-12-27559Marlies6Griffins2WBoxScore
86 - 2024-12-28571Bears2Marlies4WBoxScore
89 - 2024-12-31590Islanders4Marlies5WXXBoxScore
91 - 2025-01-02607Marlies5Islanders4WXBoxScore
93 - 2025-01-04623Bruins3Marlies6WBoxScore
94 - 2025-01-05635Phantoms1Marlies3WBoxScore
96 - 2025-01-07644Marlies3Phantoms4LXBoxScore
98 - 2025-01-09659Marlies2Wolves5LBoxScore
100 - 2025-01-11672Canucks6Marlies2LBoxScore
103 - 2025-01-14693Stars2Marlies8WBoxScore
105 - 2025-01-16707Comets2Marlies5WBoxScore
107 - 2025-01-18726Marlies2Rocket3LBoxScore
109 - 2025-01-20744Crunch3Marlies12WBoxScore
111 - 2025-01-22757Monsters3Marlies7WBoxScore
114 - 2025-01-25780Marlies3Senators4LBoxScore
118 - 2025-01-29807Wild3Marlies1LBoxScore
121 - 2025-02-01833Marlies7Condors6WBoxScore
124 - 2025-02-04853Marlies1Wranglers4LBoxScore
126 - 2025-02-06869Marlies3Firebirds6LBoxScore
128 - 2025-02-08884Marlies5Canucks6LBoxScore
142 - 2025-02-22900Wolves5Marlies6WXXBoxScore
143 - 2025-02-23912Marlies3IceHogs4LBoxScore
145 - 2025-02-25918Marlies7Bruins4WBoxScore
148 - 2025-02-28945Marlies6Wolf Pack3WBoxScore
150 - 2025-03-02961Marlies2Penguins3LXXBoxScore
151 - 2025-03-03971Barracuda1Marlies8WBoxScore
153 - 2025-03-05985Marlies4Silver Knights2WBoxScore
156 - 2025-03-081007Marlies4Eagles3WBoxScore
Trade Deadline
158 - 2025-03-101024Marlies5Roadrunners1WBoxScore
161 - 2025-03-131040Checkers6Marlies16WBoxScore
163 - 2025-03-151059Senators3Marlies5WBoxScore
165 - 2025-03-171076Wranglers3Marlies7WBoxScore
167 - 2025-03-191087Eagles5Marlies3LBoxScore
168 - 2025-03-201091Marlies2Wolf Pack4LBoxScore
170 - 2025-03-221114Marlies1Admirals4LBoxScore
173 - 2025-03-251130Phantoms7Marlies8WXBoxScore
175 - 2025-03-271152Marlies4Barracuda6LBoxScore
177 - 2025-03-291165Marlies3Reign6LBoxScore
178 - 2025-03-301176Marlies6Gulls5WBoxScore
181 - 2025-04-021194Checkers6Marlies5LXBoxScore
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
Attendance133,00057,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 5000 - 100.00% 108,375$4,118,250$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
17,844,342$ 20,047,292$ 20,047,292$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
102,282$ 17,844,342$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
325,125$ 14 102,282$ 1,431,948$




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