Please rotate your device to landscape mode for a better experience.
Login

Marlies
GP: 54 | W: 36 | L: 15 | OTL: 3 | P: 75
GF: 236 | GA: 173 | PP%: 26.72% | PK%: 75.94%
GM : Eug Sorokin | Morale : 79 | Team Overall : 64
Next Games #586 vs Admirals

Game Center
Bruins
13-33-8, 34pts
4
FINAL
6 Marlies
36-15-3, 75pts
Team Stats
L2StreakL1
5-17-4Home Record18-6-2
8-16-4Home Record18-9-1
1-7-2Last 10 Games8-2-0
3.30Goals Per Game4.37
4.87Goals Against Per Game3.20
25.69%Power Play Percentage26.72%
74.48%Penalty Kill Percentage75.94%
Marlies
36-15-3, 75pts
3
FINAL
5 Americiens
29-19-2, 60pts
Team Stats
L1StreakW2
18-6-2Home Record14-12-1
18-9-1Home Record15-7-1
8-2-0Last 10 Games6-4-0
4.37Goals Per Game4.86
3.20Goals Against Per Game4.66
26.72%Power Play Percentage22.52%
75.94%Penalty Kill Percentage72.36%
Admirals
16-32-3, 35pts
Day 116
Marlies
36-15-3, 75pts
Team Stats
W2StreakL1
7-18-2Home Record18-6-2
9-14-1Away Record18-9-1
8-1-1Last 10 Games8-2-0
3.80Goals Per Game4.37
5.35Goals Against Per Game4.37
24.39%Power Play Percentage26.72%
69.79%Penalty Kill Percentage75.94%
Marlies
36-15-3, 75pts
Day 118
Broncos
22-22-7, 51pts
Team Stats
L1StreakSOL1
18-6-2Home Record13-13-1
18-9-1Away Record9-9-6
8-2-0Last 10 Games6-3-1
4.37Goals Per Game3.35
3.20Goals Against Per Game3.35
26.72%Power Play Percentage21.36%
75.94%Penalty Kill Percentage63.74%
Marlies
36-15-3, 75pts
Day 120
Griffins
30-23-0, 60pts
Team Stats
L1StreakW3
18-6-2Home Record16-10-0
18-9-1Away Record14-13-0
8-2-0Last 10 Games7-3-0
4.37Goals Per Game5.55
3.20Goals Against Per Game5.55
26.72%Power Play Percentage21.24%
75.94%Penalty Kill Percentage73.60%
Team Leaders
Philip TomasinoGoals
Philip Tomasino
26
Lars EllerAssists
Lars Eller
41
Lars EllerPoints
Lars Eller
60
Lars EllerPlus/Minus
Lars Eller
40
Philipp GrubauerWins
Philipp Grubauer
35
Marcus HogbergSave Percentage
Marcus Hogberg
0.917

Team Stats
Goals For
236
4.37 GFG
Shots For
1831
33.91 Avg
Power Play Percentage
26.7%
35 GF
Offensive Zone Start
41.3%
Goals Against
173
3.20 GAA
Shots Against
1568
29.04 Avg
Penalty Kill Percentage
75.9%%
32 GA
Defensive Zone Start
37.6%
Team Info

General ManagerEug Sorokin
CoachSheldon Keefe
DivisionAtlantic
ConferenceEastern Conference
CaptainErik Johnson
Assistant #1Jack Johnson
Assistant #2Lars Eller


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team18
Farm Team19
Contract Limit37 / 50
Prospects12


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
1Logan Stankoven (R)XX100.00615395745776897560726759515762088650222500,000$
2Maxim Tsyplakov (R)X100.00796178687676886850726160556668087650272750,000$
3Lars Eller (A)X100.00675878647373906873676268548479092650361500,000$
4Mark JankowskiXX100.00636084667771746868596975517474072650312500,000$
5Philip TomasinoX100.00695593756972757450686960516062089650244500,000$
6Mitchell ChaffeeX100.00806188697370787050636760516666087640281500,000$
7Mattias JanmarkX100.00645786657473906456675273507575089640332500,000$
8Vasily PodkolzinXX100.00826184677072926650655966506063089630244500,000$
9Linus Karlsson (R)XXX100.00685687676366557150596059506262082590263750,000$
10Calvin de HaanX100.00755786626867687150655271558078089650341500,000$
11Erik Johnson (C)X100.00766885608065626450565575558683087650371500,000$
12Jack Johnson (A)X100.00655797607864646850635472558783088650391500,000$
13Jan RuttaX100.00686075627471726850615474558280089650351500,000$
14Travis HamonicX100.00736487626971766750595571558279088650351500,000$
15Justin HollX100.00625788617067856750595271557877087640331500,000$
16Marc Del Gaizo (R)X100.00736483636670686550584968556466086620261500,000$
Scratches
TEAM AVERAGE100.0070598665717077685463596853737208764
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
1Philipp Grubauer100.0064736971726865686450707676065660341500,000$
2Marcus Hogberg100.0061676684576356565450666969089610311500,000$
Scratches
TEAM AVERAGE100.006370687865666162595068737307764
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Sheldon Keefe7585859075751CAN456500,000$


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
1Lars EllerMarlies (TOR)C5419416040180541471755415410.86%11115421.37371015950003824262.31%143000111.0400000382
2Philip TomasinoMarlies (TOR)RW542634602122054771976614413.20%9101218.751459670110541251.46%10300011.1901000755
3Viktor ArvidssonToronto Maple LeafsLW493524593710022551765012619.89%797819.98651121950005756146.84%7900001.2101000852
4Logan StankovenMarlies (TOR)C/RW54203656-320161391725813511.63%8111020.5731013291140001653154.89%141200001.0101000612
5Mattias JanmarkMarlies (TOR)C5417304723805194119366514.29%1592217.09000000112523054.04%108800001.0200000163
6Calvin de HaanMarlies (TOR)D54538431934099526420567.81%63111120.5827920112000169100%000000.7700000042
7Jan RuttaMarlies (TOR)D5410304029200913371194814.08%49109120.20371033108000062100%000010.7300000215
8Mitchell ChaffeeMarlies (TOR)RW54132538232209253149471098.72%393217.272021591000130047.83%6900000.8200000431
9Jack JohnsonMarlies (TOR)D5453035136041486626307.58%55105119.472462972101280210%000000.6700000013
10Maxim TsyplakovMarlies (TOR)RW548273523001196514743935.44%7100018.522792195011013059.42%6900000.7011000122
11Vasily PodkolzinMarlies (TOR)LW/RW54171835-2200121451374310312.41%9106519.732244351011663152.70%7400000.6600000304
12Erik JohnsonMarlies (TOR)D54122133253001304972266116.67%64110820.5365113097000054100%000000.6000000214
13Travis HamonicMarlies (TOR)D5482432153410933951162615.69%4499718.47112937101174010%000000.6400200232
14Justin HollMarlies (TOR)D54526311530050333792613.51%5192717.1810158011183000%000000.6700000001
15Mark JankowskiMarlies (TOR)C/LW21175221220182782305020.73%643520.731236270000223055.88%3400001.0100000231
16Linus KarlssonMarlies (TOR)C/LW/RW44106161360362673174113.70%247410.79000250000124153.16%7900000.6700000033
17Marc Del GaizoMarlies (TOR)D540555402086050%162103.8900000000018000%000000.4800000001
Team Total or Average8702274206472872981011079901794560127212.65%4191558417.91356196248106634718879351056.75%443700130.8314200414643
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
1Philipp GrubauerMarlies (TOR)54351420.8893.22307441165148401000540201
2Marcus HogbergMarlies (TOR)51110.9172.39176007840000.5004054000
Team Total or Average59361530.8903.18325041172156801045454201


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 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
Calvin de HaanMarlies (TOR)D341991-05-09CANNo192 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Erik JohnsonMarlies (TOR)D371988-03-21USANo225 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Jack JohnsonMarlies (TOR)D391987-01-13USANo225 Lbs6 ft2NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Jan RuttaMarlies (TOR)D351990-07-29CZENo204 Lbs6 ft3NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Justin HollMarlies (TOR)D331992-01-30USANo194 Lbs6 ft4NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Lars EllerMarlies (TOR)C361989-05-08DNKNo208 Lbs6 ft2NoNoFree Agent2025-03-02NoNo12025-08-17FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Linus KarlssonMarlies (TOR)C/LW/RW261999-11-16SWEYes178 Lbs6 ft1NoNoFree AgentNoNo32024-09-12FalseFalsePro & Farm750,000$75,000$27,500$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Logan StankovenMarlies (TOR)C/RW222003-02-26CANYes165 Lbs5 ft8NoNoProspectNoNo22024-08-10FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Marc Del GaizoMarlies (TOR)D261999-10-11USAYes188 Lbs5 ft11NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link
Marcus HogbergMarlies (TOR)G311994-11-25SWENo234 Lbs6 ft5NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Mark JankowskiMarlies (TOR)C/LW311994-09-13CANNo212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Mattias JanmarkMarlies (TOR)C331992-12-08SWENo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Maxim TsyplakovMarlies (TOR)RW271998-09-19RUSYes210 Lbs6 ft3NoNoFree AgentNoNo22025-08-08FalseFalsePro & Farm750,000$75,000$27,500$No750,000$--------750,000$--------No--------Link / NHL Link
Mitchell ChaffeeMarlies (TOR)RW281998-01-26USANo204 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Philip TomasinoMarlies (TOR)RW242001-07-28CANNo190 Lbs6 ft0NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Philipp GrubauerMarlies (TOR)G341991-11-25DEUNo188 Lbs6 ft1NoNoFree AgentNoNo12025-08-17FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Travis HamonicMarlies (TOR)D351990-08-16CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Vasily PodkolzinMarlies (TOR)LW/RW242001-06-24RUSNo190 Lbs6 ft1NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1830.83200 Lbs6 ft21.67527,778$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mark JankowskiLogan StankovenMaxim Tsyplakov35122
2Vasily PodkolzinLars EllerMitchell Chaffee35122
3Linus KarlssonMattias JanmarkPhilip Tomasino25122
4Linus KarlssonMattias JanmarkPhilip Tomasino5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonJan Rutta35122
2Travis HamonicCalvin de Haan35122
3Jack JohnsonJustin Holl30122
4Marc Del GaizoJack Johnson0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vasily PodkolzinLogan StankovenMitchell Chaffee60122
2Philip TomasinoLars EllerMaxim Tsyplakov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonJan Rutta60122
2Travis HamonicCalvin de Haan40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mattias JanmarkMark Jankowski60122
2Lars EllerMitchell Chaffee40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack JohnsonJustin Holl60122
2Travis HamonicCalvin de Haan40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Lars Eller60122Erik JohnsonJan Rutta60122
2Mattias Janmark40122Travis HamonicCalvin de Haan40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan StankovenMark Jankowski60122
2Lars EllerMaxim Tsyplakov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik JohnsonJan Rutta60122
2Travis HamonicCalvin de Haan40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Vasily PodkolzinLogan StankovenMitchell ChaffeeErik JohnsonJan Rutta
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mark JankowskiLogan StankovenVasily PodkolzinErik JohnsonJan Rutta
Extra Forwards
Normal PowerPlayPenalty Kill
Linus Karlsson, Mattias Janmark, Vasily PodkolzinPhilip Tomasino, Vasily PodkolzinMaxim Tsyplakov
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Johnson, Justin Holl, Marc Del GaizoJack JohnsonJack Johnson, Justin Holl
Penalty Shots
Logan Stankoven, Lars Eller, Maxim Tsyplakov, Philip Tomasino, Mitchell Chaffee
Goalie
#1 : Philipp Grubauer, #2 : Marcus Hogberg


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
1Aces1010000003-3000000000001010000003-300.0000000089865662159465257217288824200.00%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
2Admirals21100000880110000005411010000034-120.500814220089865664759465257217511726237114.29%12558.33%11032183256.33%950166956.92%54593658.23%147210641100359683363
3Americiens4220000017143211000008532110000099040.5001730470089865661355946525721714736169512325.00%6350.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
4Barons22000000954110000004311100000052341.0009142300898656676594652572175114838300.00%4250.00%11032183256.33%950166956.92%54593658.23%147210641100359683363
5Barracuda11000000431000000000001100000043121.0004812008986566395946525721728810212150.00%5180.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
6Broncos421010001495311010008711100000062460.750142640008986566106594652572179422166310440.00%50100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
7Bruins411020001614231101000131211000100032160.7501628440089865661215946525721710531207112216.67%8362.50%01032183256.33%950166956.92%54593658.23%147210641100359683363
8Butter Knives733001003427721100000963522001002521470.50034629600898656626559465257217277674818025728.00%22481.82%01032183256.33%950166956.92%54593658.23%147210641100359683363
9Canucks11000000321000000000001100000032121.00035800898656632594652572172251014100.00%50100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
10Fighting Pandas43000001201281000000178-133000000134970.8752036560189865661115946525721710825248212325.00%10370.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
11Firebirds5400010025141132000100147722000000117490.9002547720089865661705946525721710334107412541.67%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
12Lions11000000413000000000001100000041321.000461000898656644594652572173570232150.00%000%01032183256.33%950166956.92%54593658.23%147210641100359683363
13Lynx42200000171072110000076121100000104640.50017294600898656614259465257217682019797114.29%70100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
14Nordiks2110000079-21010000037-41100000042220.50071421008986566865946525721775202343100.00%9455.56%01032183256.33%950166956.92%54593658.23%147210641100359683363
15Quacken22000000963110000003121100000065141.0009172600898656649594652572175218143711100.00%7357.14%11032183256.33%950166956.92%54593658.23%147210641100359683363
16Roadrunners11000000716110000007160000000000021.00071219008986566265946525721724981811100.00%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
17Tomahawks2110000011101110000006331010000057-220.5001120310089865669759465257217692310557228.57%4175.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
18Wombats42101000191362100100096321100000107360.750193453008986566133594652572171203420957228.57%90100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
19Wranglers31101000121202100100011921010000013-240.667122436008986566131594652572171112318837114.29%80100.00%01032183256.33%950166956.92%54593658.23%147210641100359683363
Total54311505201236173632614604101114852928179011001228834750.694236426662018986566183159465257217156842130811181313526.72%1333275.94%31032183256.33%950166956.92%54593658.23%147210641100359683363
_Since Last GM Reset54311505201236173632614604101114852928179011001228834750.694236426662018986566183159465257217156842130811181313526.72%1333275.94%31032183256.33%950166956.92%54593658.23%147210641100359683363
_Vs Conference392111042011771225520105031018762251911601100906030530.67917731849501898656612565946525721710972952077801052927.62%872077.01%11032183256.33%950166956.92%54593658.23%147210641100359683363
_Vs Division2311802101104772710440100144377137401100604020280.60910418528901898656677459465257217705179127507681623.53%531375.47%01032183256.33%950166956.92%54593658.23%147210641100359683363

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5475L123642666218311568421308111801
All Games
GPWLOTWOTL SOWSOLGFGA
5431155201236173
Home Games
GPWLOTWOTL SOWSOLGFGA
26146410111485
Visitor Games
GPWLOTWOTL SOWSOLGFGA
28179110012288
Last 10 Games
WLOTWOTL SOWSOL
721000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1313526.72%1333275.94%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
594652572178986566
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1032183256.33%950166956.92%54593658.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
147210641100359683363


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
13Marlies2Butter Knives4LBoxScore
27Marlies6Fighting Pandas1WBoxScore
621Bruins4Marlies2LBoxScore
730Marlies5Butter Knives6LXBoxScore
941Butter Knives4Marlies3LBoxScore
1256Marlies2Lynx3LBoxScore
1360Marlies4Butter Knives5LBoxScore
1466Firebirds4Marlies3LXBoxScore
1883Marlies7Butter Knives3WBoxScore
1990Broncos1Marlies2WBoxScore
22107Americiens3Marlies2LBoxScore
25118Marlies7Butter Knives3WBoxScore
27128Lynx4Marlies3LBoxScore
29140Marlies3Bruins2WXBoxScore
31147Marlies3Fighting Pandas0WBoxScore
32154Fighting Pandas8Marlies7LXXBoxScore
33161Marlies6Americiens4WBoxScore
37176Wranglers6Marlies7WBoxScore
40188Marlies1Wranglers3LBoxScore
42197Tomahawks3Marlies6WBoxScore
45213Marlies4Barracuda3WBoxScore
46218Wombats2Marlies4WBoxScore
49232Marlies5Barons2WBoxScore
50241Butter Knives2Marlies6WBoxScore
53258Americiens2Marlies6WBoxScore
54268Marlies3Admirals4LBoxScore
56275Marlies5Tomahawks7LBoxScore
58285Nordiks7Marlies3LBoxScore
61300Marlies7Firebirds5WBoxScore
62307Broncos3Marlies2LBoxScore
63314Marlies6Broncos2WBoxScore
66328Wombats4Marlies5WXBoxScore
69342Marlies5Wombats1WBoxScore
70350Broncos3Marlies4WXBoxScore
74365Marlies4Fighting Pandas3WBoxScore
75373Admirals4Marlies5WBoxScore
79393Roadrunners1Marlies7WBoxScore
81405Marlies4Lions1WBoxScore
82415Firebirds1Marlies7WBoxScore
85427Marlies8Lynx1WBoxScore
87437Firebirds2Marlies4WBoxScore
89449Marlies0Aces3LBoxScore
91455Marlies4Nordiks2WBoxScore
93462Bruins4Marlies5WXBoxScore
96477Wranglers3Marlies4WXBoxScore
98486Marlies5Wombats6LBoxScore
100497Marlies6Quacken5WBoxScore
101505Quacken1Marlies3WBoxScore
103515Marlies3Canucks2WBoxScore
105526Lynx2Marlies4WBoxScore
107541Marlies4Firebirds2WBoxScore
108548Barons3Marlies4WBoxScore
112566Bruins4Marlies6WBoxScore
113573Marlies3Americiens5LBoxScore
116586Admirals-Marlies-
118594Marlies-Broncos-
120605Marlies-Griffins-
121613Butter Knives-Marlies-
124633Ice Bats-Marlies-
126642Marlies-Butter Knives-
128652Marlies-Fighting Pandas-
130658Roadrunners-Marlies-
131664Marlies-Lynx-
133680Americiens-Marlies-
135690Marlies-Butter Knives-
138701Lynx-Marlies-
139710Marlies-Ice Bats-
141721Lions-Marlies-
146739Griffins-Marlies-
147749Marlies-Americiens-
149758Marlies-Roadrunners-
150768Barracuda-Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
154787Barracuda-Marlies-
158803Marlies-Admirals-
159809Fighting Pandas-Marlies-
163827Canucks-Marlies-
167846Fighting Pandas-Marlies-
168853Marlies-Bruins-
171865Aces-Marlies-
173874Marlies-Roadrunners-
176889Marlies-Bruins-
178896Aces-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
969,708$ 950,000$ 950,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
950,000$ 653,049$ 18 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 66 8,056$ 531,696$




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