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Marlies
GP: 86 | W: 36 | L: 37 | OTL: 13 | P: 85
GF: 174 | GA: 219 | PP%: 24.74% | PK%: 71.58%
GM : Phil VendorMolen | Morale : 35 | Team Overall : 58

Game Center
Griffins
43-24-19, 105pts
2
1 Marlies
36-37-13, 85pts
Team Stats
OTL1StreakW1
25-12-6Home Record17-19-7
18-12-13Home Record19-18-6
5-2-3Last 10 Games3-6-1
2.78Goals Per Game2.02
2.94Goals Against Per Game2.55
32.12%Power Play Percentage24.74%
75.00%Penalty Kill Percentage71.58%
Griffins
43-24-19, 105pts
2
3 Marlies
36-37-13, 85pts
Team Stats
OTL1StreakW1
25-12-6Home Record17-19-7
18-12-13Home Record19-18-6
5-2-3Last 10 Games3-6-1
2.78Goals Per Game2.02
2.94Goals Against Per Game2.55
32.12%Power Play Percentage24.74%
75.00%Penalty Kill Percentage71.58%
Team Leaders
Goals
Oliver Wahlstrom
28
Jacob MacDonaldAssists
Jacob MacDonald
36
Points
Oliver Wahlstrom
59
Plus/Minus
Matias Rajaniemi
4
Wins
Keith Petruzzelli
34
Save Percentage
Tristan Lennox
0.883

Team Stats
Goals For
174
2.02 GFG
Shots For
1266
14.72 Avg
Power Play Percentage
24.7%
48 GF
Offensive Zone Start
32.6%
Goals Against
219
2.55 GAA
Shots Against
1748
20.33 Avg
Penalty Kill Percentage
71.6%%
52 GA
Defensive Zone Start
42.2%
Team Info

General ManagerPhil VendorMolen
CoachBenoit Grouix
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,129
Season Tickets1,500


Roster Info

Pro Team32
Farm Team23
Contract Limit55 / 100
Prospects153


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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 Ivan (R)X100.0062419486725691695160676525504963696502321,955,000$
2Justin Robidas (R)X100.0071619578648287658165646060474764656402331,421,000$
3Oliver WahlstromX100.0072877474785679665659626259676859706402531,452,000$
4Ville Koivunen (R)X100.0067607771638287655064655761474762626302231,387,000$
5Olle LycksellX100.006441977559617863446953562551516144600261875,000$
6Andre Lee (R)X100.0085798372825382582460566025484860516002531,378,000$
7Ben McCartneyX100.0069716569747478585053605859474759635902431,253,000$
8Riley Duran (R)X100.0072659578677378516642565855474758605802431,345,000$
9Rafael Harvey-PinardXXX100.0070649173645960557355496148585856575802722,227,000$
10Ben KingX100.007677786678545454704956625446455754570242790,000$
11James Malatesta (R)X100.006567697869606252504556565548475646560232841,667$
12Jack Malone (R)XXX100.0079729564725252526543566453444458235502531,342,000$
13Jonathan GrudenXX100.0070706965705961546847566053444457235502621,092,000$
14Ryker EvansX100.008144887774789064256048752560606259690241925,000$
15Jacob MacDonaldX100.0077747970747679682554686562474764776403311,000,000$
16Ryan JohnsonX100.007572837075778548253842603851515056610241925,000$
17Cade Webber (R)X100.0083838263846875462536396237474749645902531,345,000$
18Noel HoefenmayerX100.007674856574484752254842604047475134560271750,000$
19Matias Rajaniemi (R)X100.0084809981813332402527386137464648325502331,344,000$
Scratches
1Nikolai Kovalenko (R)X100.0080449176656274673070646425535364506402631,495,000$
2Aidan McDonoughX100.0075757464754843675059726568444466206002600$
3Judd CaulfieldX100.0082828367847682535049546253474758465902531,381,000$
4Blade JenkinsX100.007773876373494950504946624444445420530252971,000$
5Isaac RatcliffeX100.0069784961784241495047465844444450205102721,088,000$
6Carson Bantle (R)X100.0079827160824039455038466244444450205002400$
7Bear Hughes (R)XXX100.0071668180663331445538445842444450205002531,442,000$
8Dawson BarteauxX100.0076728863724646472540386137454551195402631,106,000$
9Cole KrygierX100.0066744661743836472537415639444448195002631,377,000$
TEAM AVERAGE100.00746981707358645546505361454848574458
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.
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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.
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
1Keith Petruzzelli100.004440508345935054958145474657846302731,061,000$
2Tristan Lennox (R)100.004442537845914751928145454560736102331,026,000$
Scratches
1Garin Bjorklund (R)100.004440506745894549908145444460195802431,019,000$
2Kevin Mandolese100.00514455875353525655543044445220550252942,000$
TEAM AVERAGE100.0046425279478249538374414545574959
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Benoit Grouix60477337564753CAN561750,000$


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")
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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
1Oliver WahlstromMarlies (TOR)RW84283159118375124135127346522.05%32160619.1381119201051014659349.46%9341126000.7335429724
2Ivan IvanMarlies (TOR)C85282452-410010898171458116.37%24142716.795914261141122373242.11%953625110.7314000637
3Jacob MacDonaldMarlies (TOR)D86133649-119345127167122575310.66%104232627.059716191740228139220%04354000.4201324184
4Justin RobidasMarlies (TOR)C85133548-253315105154135461039.63%33192722.67279914520271181257.59%5073835000.5013201415
5Nikolai KovalenkoMarlies (TOR)RW67182745-7201097113123407714.63%24143721.463710121011232981133.03%7572616000.6303011433
6Ville KoivunenMarlies (TOR)RW86182644-147315152126126348314.29%33174320.2891221261390001104149.37%792810000.5000021362
7Andre LeeMarlies (TOR)LW8692029-29845013413366245913.64%25175020.3517891420112502023.67%3002126000.33210253011
8Elmer SoderblomMaple LeafsLW2216824-275345569234023.19%1249522.5442610440000240040.48%421214110.9700001313
9Ryan JohnsonMarlies (TOR)D8651116-3471251191779128355.49%125231526.9221341240001112000%01451000.1400221013
10Cade WebberMarlies (TOR)D8621214-86525114135411794.88%64197122.9327910179000395000%0942000.1400212000
11Riley DuranMarlies (TOR)C864711-5206586196621.05%11101111.761011231011382049.58%238118000.2200000121
12Judd CaulfieldMarlies (TOR)RW815611-182159410121111423.81%7134516.612244430111292142.03%138925000.16210001001
13Ben McCartneyMarlies (TOR)LW86459-2415935437161310.81%1089310.380111170002494035.71%14214000.2000001113
14Ryker EvansMarlies (TOR)D63099-168058104331680%38126520.09033351000186000%01625000.1400000010
15Noel HoefenmayerMarlies (TOR)D86189-17451557912314134.35%45153217.82011167011187000%0723000.1200012000
16Olle LycksellMarlies (TOR)RW76347-180058813916267.69%10102913.54022224000000043.59%273916000.1400000010
17Rafael Harvey-PinardMarlies (TOR)C/LW/RW86123-44032331001210.00%25025.8401106000050064.00%5053000.1200000000
18James MalatestaMarlies (TOR)LW76101-140121190111.11%01942.5600000000215100%210000.1000000100
19Jonathan GrudenMarlies (TOR)C/LW16011100100000%060.390000000000000%000003.2200000000
20Matias RajaniemiMarlies (TOR)D570114009212110%03966.960000500006000%002000.0500000000
21Scott ReedyMaple LeafsC1000000000000%011.070000000000000%00000000000000
22Jack MaloneMarlies (TOR)C/LW/RW5000000220000%0234.770000000000000%01000000000000
23Ben KingMarlies (TOR)C83000000311220%0430.5200000000000037.50%80100000000000
24Dawson BarteauxMarlies (TOR)D4100028010251100%73969.6800004000016000%00100000000000
25Cole KrygierMarlies (TOR)D11000000410000%0948.600000000000000%00100000000000
Team Total or Average1627169273442-20777229016121904126643170113.35%6062573815.82488012815715166814381091311243.82%3437299418220.34936151627313137
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
1Keith PetruzzelliMarlies (TOR)823431110.8782.4344982101821489681420.73330811646
2Tristan LennoxMarlies (TOR)182620.8832.487260030257117000.8336577000
Team Total or Average1003637130.8792.435225210212174679842368678646


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 McDonoughMarlies (TOR)LW261999-11-06USANo201 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Link
Andre LeeMarlies (TOR)LW252000-07-26SWEYes206 Lbs6 ft5NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,378,000$0$0$No1,378,000$1,378,000$-------1,378,000$1,378,000$-------NoNo-------Link
Bear HughesMarlies (TOR)C/LW/RW252001-05-30USAYes172 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,442,000$0$0$No1,442,000$1,442,000$-------1,442,000$1,442,000$-------NoNo-------Link
Ben KingMarlies (TOR)C242002-05-15BCNo205 Lbs6 ft3NoNoProspectNoNo22024-09-17FalseFalsePro & Farm790,000$0$0$No790,000$--------790,000$--------No--------Link
Ben McCartneyMarlies (TOR)LW242001-07-13CANNo199 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,253,000$0$0$No1,253,000$1,253,000$-------1,253,000$1,253,000$-------NoNo-------Link
Blade JenkinsMarlies (TOR)LW252000-08-11USANo195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm971,000$0$0$No971,000$--------971,000$--------No--------Link
Cade WebberMarlies (TOR)D252001-01-05USAYes212 Lbs6 ft7NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Link
Carson BantleMarlies (TOR)LW242002-01-22USAYes215 Lbs6 ft5NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Link
Cole KrygierMarlies (TOR)D262000-05-05USANo195 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,377,000$0$0$No1,377,000$1,377,000$-------1,377,000$1,377,000$-------NoNo-------Link
Dawson BarteauxMarlies (TOR)D262000-01-12MANNo192 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,106,000$0$0$No1,106,000$1,106,000$-------1,106,000$1,106,000$-------NoNo-------Link
Garin BjorklundMarlies (TOR)G242002-05-28CANYes174 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,019,000$0$0$No1,019,000$1,019,000$-------1,019,000$1,019,000$-------NoNo-------Link
Isaac RatcliffeMarlies (TOR)LW271999-02-15CANNo203 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,088,000$0$0$No1,088,000$--------1,088,000$--------No--------Link
Ivan IvanMarlies (TOR)C232002-08-20CZEYes190 Lbs6 ft0NoNoTrade2025-01-16NoNo22024-09-18FalseFalsePro & Farm1,955,000$0$0$No1,955,000$--------1,955,000$--------No--------Link
Jack MaloneMarlies (TOR)C/LW/RW252000-10-13USAYes195 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,342,000$0$0$No1,342,000$1,342,000$-------1,342,000$1,342,000$-------NoNo-------Link
Jacob MacDonaldMarlies (TOR)D331993-02-26USANo208 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link / NHL Link
James MalatestaMarlies (TOR)LW232003-05-31CANYes193 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm841,667$0$0$No841,667$--------841,667$--------No--------Link
Jonathan GrudenMarlies (TOR)C/LW262000-05-04USANo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,092,000$0$0$No1,092,000$--------1,092,000$--------No--------Link
Judd CaulfieldMarlies (TOR)RW252001-03-19USANo220 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,381,000$0$0$No1,381,000$1,381,000$-------1,381,000$1,381,000$-------NoNo-------Link
Justin RobidasMarlies (TOR)C232003-03-13USAYes176 Lbs5 ft8NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,421,000$0$0$No1,421,000$1,421,000$-------1,421,000$1,421,000$-------NoNo-------Link
Keith PetruzzelliMarlies (TOR)G271999-02-09USANo190 Lbs6 ft6NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,061,000$0$0$No1,061,000$1,061,000$-------1,061,000$1,061,000$-------NoNo-------Link
Kevin MandoleseMarlies (TOR)G252000-08-22CANNo207 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm942,000$0$0$No942,000$--------942,000$--------No--------Link
Matias RajaniemiMarlies (TOR)D232002-09-11FINYes212 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,344,000$0$0$No1,344,000$1,344,000$-------1,344,000$1,344,000$-------NoNo-------Link
Nikolai KovalenkoMarlies (TOR)RW261999-10-17USAYes180 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,495,000$0$0$No1,495,000$1,495,000$-------1,495,000$1,495,000$-------NoNo-------Link
Noel HoefenmayerMarlies (TOR)D271999-01-06ONTNo204 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Oliver WahlstromMarlies (TOR)RW252000-06-13USANo205 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,452,000$0$0$No1,452,000$1,452,000$-------1,452,000$1,452,000$-------NoNo-------Link
Olle LycksellMarlies (TOR)RW261999-08-24SWENo163 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm875,000$0$0$No---------------------------Link
Rafael Harvey-PinardMarlies (TOR)C/LW/RW271999-01-06CANNo181 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm2,227,000$0$0$No2,227,000$--------2,227,000$--------No--------Link
Riley DuranMarlies (TOR)C242002-01-25USAYes174 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Link
Ryan JohnsonMarlies (TOR)D242001-07-24USANo195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link
Ryker EvansMarlies (TOR)D242001-12-13CANNo195 Lbs6 ft0NoNoTrade2025-01-20NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link
Tristan LennoxMarlies (TOR)G232002-10-21CANYes193 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,026,000$0$0$No1,026,000$1,026,000$-------1,026,000$1,026,000$-------NoNo-------Link
Ville KoivunenMarlies (TOR)RW222003-06-13FINYes161 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,387,000$0$0$No1,387,000$1,387,000$-------1,387,000$1,387,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3225.06194 Lbs6 ft22.251,142,365$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ben McCartneyOlle LycksellJustin Robidas30122
2Ville KoivunenOliver WahlstromAndre Lee30122
3Ville KoivunenJustin RobidasOliver Wahlstrom20122
4Ivan IvanJustin RobidasAndre Lee20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacDonaldCade Webber35122
2Ryker EvansRyan Johnson35122
3Ryan JohnsonJacob MacDonald30122
4Ryan JohnsonJacob MacDonald0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Olle LycksellAndre LeeJustin Robidas60122
2Ville KoivunenOliver WahlstromIvan Ivan40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacDonaldCade Webber60122
2Ryker EvansRyan Johnson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ville KoivunenJustin Robidas60122
2Andre LeeOliver Wahlstrom40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacDonaldRyker Evans60122
2Cade WebberRyan Johnson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andre Lee60122Jacob MacDonaldCade Webber60122
2Justin Robidas40122Ryker EvansRyan Johnson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Oliver WahlstromVille Koivunen60122
2Andre LeeJustin Robidas40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jacob MacDonaldCade Webber60122
2Noel HoefenmayerRyan Johnson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ville KoivunenOliver WahlstromJustin RobidasJacob MacDonaldRyan Johnson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ville KoivunenOliver WahlstromJustin RobidasJacob MacDonaldRyan Johnson
Extra Forwards
Normal PowerPlayPenalty Kill
Andre Lee, Justin Robidas, Oliver WahlstromJustin Robidas, Andre LeeJustin Robidas
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Johnson, Jacob MacDonald, Cade WebberRyan JohnsonRyan Johnson, Jacob MacDonald
Penalty Shots
Andre Lee, Olle Lycksell, Justin Robidas, Ville Koivunen, Oliver Wahlstrom
Goalie
#1 : Keith Petruzzelli, #2 : Tristan Lennox


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
1Admirals200011005501000010012-11000100043130.75058130023627716282234555517241107849400.00%9188.89%2496109545.30%597141642.16%41384848.70%1448484160395721811114
2Americans2020000057-21010000012-11010000045-100.0005101500236277163922345555172561719406233.33%7357.14%1496109545.30%597141642.16%41384848.70%1448484160395721811114
3Barracuda2110000034-11010000004-41100000030320.50033601236277162922345555172241419363133.33%7185.71%0496109545.30%597141642.16%41384848.70%1448484160395721811114
4Bears50200102618-123000010258-320200000110-930.30069150023627716592234555517211128398922100.00%12375.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
5Bruins21001000202100010001011100000010141.00023502236277161822345555172228434000%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
6Canucks21000010523100000102111100000031241.000561100236277163422345555172341011465120.00%30100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
7Checkers21100000330110000003121010000002-220.50035800236277162722345555172211218388112.50%4250.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
8Comets2020000028-61010000024-21010000004-400.000235002362771621223455551722171837400.00%4250.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
9Condors2010010025-31010000024-21000010001-110.25022410236277163122345555172451617464125.00%6183.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
10Crunch32100000853110000003122110000054140.6678142210236277166222345555172401195016531.25%2150.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
11Eagles4120010047-32010010036-32110000011030.375471101236277166422345555172491826654250.00%8187.50%0496109545.30%597141642.16%41384848.70%1448484160395721811114
12Griffins603020011117-640301000713-62000100144050.41711172800236277168422345555172109438012213323.08%15566.67%1496109545.30%597141642.16%41384848.70%1448484160395721811114
13Gulls31101000642100010001012110000054140.667661201236277162622345555172291441494250.00%8275.00%1496109545.30%597141642.16%41384848.70%1448484160395721811114
14Heat20000020422100000102111000001021141.0004480023627716302234555517241131433300.00%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
15IceHogs21000100211110000002021000010001-130.75024601236277161522345555172155933300.00%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
16Islanders504010001017-72020000026-430201000811-320.20010172700236277161082234555517215855448012216.67%12375.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
17Monsters2010010036-31000010023-11010000013-210.25034700236277162522345555172321212345120.00%6266.67%0496109545.30%597141642.16%41384848.70%1448484160395721811114
18Moose2110000034-1110000001011010000024-220.5003580123627716182234555517230811362150.00%3233.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
19Penguins21000100211110000002021000010001-130.750235012362771617223455551721774334250.00%20100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
20Phantoms531000102020022000000954311000101115-480.80020315100236277167722345555172120359411315746.67%17664.71%0496109545.30%597141642.16%41384848.70%1448484160395721811114
21Reign52200001812-42010000127-53210000065150.500814220023627716902234555517212652108016212.50%5340.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
22Roadrunners532000002223-1312000001116-522000000117460.60022355700236277169822345555172178697111220420.00%13653.85%1496109545.30%597141642.16%41384848.70%1448484160395721811114
23Rocket2010100034-11010000002-21000100032120.50035800236277161622345555172288634100.00%3233.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
24Senators2110000012-1110000001011010000002-220.500123012362771620223455551722361141200.00%30100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
25Silver Knights22000000725110000002021100000052341.00071320012362771632223455551722980345120.00%000%0496109545.30%597141642.16%41384848.70%1448484160395721811114
26Stars2010000158-31010000035-21000000123-110.25057120023627716412234555517247221334400.00%40100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
27Thunderbirds514000001622-6312000001213-12020000049-520.20016284400236277169222345555172192606610922836.36%13469.23%0496109545.30%597141642.16%41384848.70%1448484160395721811114
28Wild2020000035-21010000012-11010000023-100.0003580023627716342234555517272271227400.00%6183.33%0496109545.30%597141642.16%41384848.70%1448484160395721811114
29Wolf Pack2110000024-21010000003-31100000021120.50023500236277161722345555172233429200.00%2150.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
30Wolves20000110110100000101011000010001-130.750101012362771614223455551721581449100.00%30100.00%0496109545.30%597141642.16%41384848.70%1448484160395721811114
Total86243707855174219-454311190343384109-254313180442290110-20850.49417427344721123627716126622345555172174860677416121944824.74%1835271.58%6496109545.30%597141642.16%41384848.70%1448484160395721811114
_Since Last GM Reset86243707855174219-454311190343384109-254313180442290110-20850.49417427344721123627716126622345555172174860677416121944824.74%1835271.58%6496109545.30%597141642.16%41384848.70%1448484160395721811114
_Vs Conference54132504435124166-4228713013136485-2126612031226081-21490.454124200324032362771687222345555172129644958710331353626.67%1263969.05%5496109545.30%597141642.16%41384848.70%1448484160395721811114
_Vs Division19918031143338-510410011031619-3958020111719-2310.816335689132362771626622345555172299105147359461123.91%361363.89%2496109545.30%597141642.16%41384848.70%1448484160395721811114

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8685W1174273447126617486067741612211
All Games
GPWLOTWOTL SOWSOLGFGA
8624377855174219
Home Games
GPWLOTWOTL SOWSOLGFGA
431119343384109
Visitor Games
GPWLOTWOTL SOWSOLGFGA
431318442290110
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1944824.74%1835271.58%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
2234555517223627716
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
496109545.30%597141642.16%41384848.70%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1448484160395721811114


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
214Marlies4Phantoms3WBox score
326Griffins6Marlies3LBox score
439Marlies3Reign1WBox score
556Thunderbirds2Marlies4WBox score
777Bears2Marlies1LXXBox score
996Eagles3Marlies1LBox score
10110Marlies0Eagles1LBox score
11124Marlies3Islanders4LBox score
12133Marlies1Phantoms7LBox score
13149Griffins3Marlies0LBox score
15168Roadrunners7Marlies2LBox score
16182Marlies1Islanders4LBox score
17195Phantoms3Marlies6WBox score
18210Marlies2Griffins3LXXBox score
19228Islanders5Marlies2LBox score
20247Marlies0Bears5LBox score
21254Marlies5Roadrunners2WBox score
23268Heat1Marlies2WXXBox score
24287Marlies0Penguins1LXBox score
25299Thunderbirds6Marlies5LBox score
27318Comets4Marlies2LBox score
29339Marlies2Wild3LBox score
30350Marlies1Bruins0WBox score
31365Wolf Pack3Marlies0LBox score
32385Roadrunners8Marlies6LBox score
33404Marlies0Wolves1LXBox score
34414Marlies2Moose4LBox score
35426Silver Knights0Marlies2WBox score
36444Checkers1Marlies3WBox score
38461Marlies3Canucks1WBox score
39477Bruins0Marlies1WXBox score
40495Marlies6Phantoms5WXXBox score
41508Crunch1Marlies3WBox score
43533Marlies4Admirals3WXBox score
44542Phantoms2Marlies3WBox score
45562IceHogs0Marlies2WBox score
46577Marlies0IceHogs1LXBox score
47588Marlies3Barracuda0WBox score
48603Eagles3Marlies2LXBox score
49621Marlies6Roadrunners5WBox score
50633Marlies0Senators2LBox score
51646Wolves0Marlies1WXXBox score
52666Islanders1Marlies0LBox score
53679Marlies0Comets4LBox score
54694Thunderbirds5Marlies3LBox score
56713Marlies3Rocket2WXBox score
57727Roadrunners1Marlies3WBox score
58742Marlies2Stars3LXXBox score
59759Canucks1Marlies2WXXBox score
60772Marlies4Islanders3WXBox score
62785Gulls0Marlies1WXBox score
64806Marlies2Gulls3LBox score
65818Rocket2Marlies0LBox score
66840Bears1Marlies0LXBox score
68852Marlies0Checkers2LBox score
69871Monsters3Marlies2LXBox score
71893Marlies2Heat1WXXBox score
72906Reign2Marlies1LXXBox score
74930Bears5Marlies4LXXBox score
75942Marlies1Monsters3LBox score
76955Marlies2Wolf Pack1WBox score
78968Americans2Marlies1LBox score
80991Marlies0Condors1LXBox score
81999Barracuda4Marlies0LBox score
821012Marlies5Silver Knights2WBox score
831027Marlies2Griffins1WXBox score
841038Reign5Marlies1LBox score
861059Moose0Marlies1WBox score
871078Marlies1Bears5LBox score
881088Wild2Marlies1LBox score
891102Marlies3Gulls1WBox score
911120Marlies3Thunderbirds7LBox score
921134Senators0Marlies1WBox score
931149Penguins0Marlies2WBox score
951168Marlies4Americans5LBox score
961179Marlies5Crunch2WBox score
Trade Deadline --- Trades can’t be done after this day is simulated!
971191Condors4Marlies2LBox score
981205Marlies1Thunderbirds2LBox score
991216Marlies1Reign3LBox score
1001226Admirals2Marlies1LXBox score
1021244Marlies0Crunch2LBox score
1031261Stars5Marlies3LBox score
1041272Marlies2Reign1WBox score
1051283Marlies1Eagles0WBox score
1071302Griffins2Marlies1LBox score
1101330Griffins2Marlies3WXBox score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance59,38932,154
Attendance PCT69.06%74.78%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2129 - 70.96% 88,739$3,815,778$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
4,314,200$ 3,655,567$ 3,655,567$ 750,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
32,639$ 3,526,216$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 39,335$ 0$




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