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Toronto Marlies
GP: 33 | W: 12 | L: 14 | OTL: 7 | P: 31
GF: 100 | GA: 106 | PP%: 15.38% | PK%: 80.31%
GM : DJ | Morale : 99 | Team Overall : 67
Next Games #465 vs San Diego Gulls
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Game Center
Toronto Marlies
12-14-7, 31pts
2
FINAL
1 Springfield Thunderbirds
17-13-3, 37pts
Team Stats
W4StreakL1
6-8-4Home Record7-5-1
6-6-3Home Record10-8-2
5-4-1Last 10 Games6-3-1
3.03Goals Per Game3.21
3.21Goals Against Per Game2.79
15.38%Power Play Percentage26.37%
80.31%Penalty Kill Percentage81.82%
Springfield Thunderbirds
17-13-3, 37pts
1
FINAL
4 Toronto Marlies
12-14-7, 31pts
Team Stats
L1StreakW4
7-5-1Home Record6-8-4
10-8-2Home Record6-6-3
6-3-1Last 10 Games5-4-1
3.21Goals Per Game3.03
2.79Goals Against Per Game3.21
26.37%Power Play Percentage15.38%
81.82%Penalty Kill Percentage80.31%
Toronto Marlies
12-14-7, 31pts
Day 79
San Diego Gulls
18-12-2, 38pts
Team Stats
W4StreakW1
6-8-4Home Record11-4-1
6-6-3Away Record7-8-1
5-4-1Last 10 Games8-2-0
3.03Goals Per Game3.41
3.21Goals Against Per Game3.41
15.38%Power Play Percentage16.22%
80.31%Penalty Kill Percentage81.58%
Toronto Marlies
12-14-7, 31pts
Day 80
San Jose Barracuda
14-15-2, 30pts
Team Stats
W4StreakL1
6-8-4Home Record7-9-1
6-6-3Away Record7-6-1
5-4-1Last 10 Games4-6-0
3.03Goals Per Game3.39
3.21Goals Against Per Game3.39
15.38%Power Play Percentage20.48%
80.31%Penalty Kill Percentage73.81%
Toronto Marlies
12-14-7, 31pts
Day 83
Syracuse Crunch
16-13-2, 34pts
Team Stats
W4StreakSOL1
6-8-4Home Record10-5-1
6-6-3Away Record6-8-1
5-4-1Last 10 Games3-6-1
3.03Goals Per Game3.32
3.21Goals Against Per Game3.32
15.38%Power Play Percentage22.89%
80.31%Penalty Kill Percentage75.56%
Team Leaders
Goals
Ivan Demidov
14
Assists
Ivan Demidov
19
Points
Ivan Demidov
33
Plus/Minus
Charlie Stramel
11
Wins
Linus Ullmark
9
Save Percentage
Linus Ullmark
0.929

Team Stats
Goals For
100
3.03 GFG
Shots For
1212
36.73 Avg
Power Play Percentage
15.4%
12 GF
Offensive Zone Start
37.7%
Goals Against
106
3.21 GAA
Shots Against
1246
37.76 Avg
Penalty Kill Percentage
80.3%%
25 GA
Defensive Zone Start
40.7%
Team Info

General ManagerDJ
CoachJoe Sacco
DivisionEastern
ConferenceConference 1
CaptainMark Mitera
Assistant #1Curtis Lazar
Assistant #2Tomas Marcinko


Arena Info

Capacity10,000
Attendance4,583
Season Tickets4,000


Roster Info

Pro Team30
Farm Team21
Contract Limit51 / 75
Prospects4


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Connor Bedard (R)X100.007337818073808083817981727949999399730192925,000$
2Macklin Celebrini (R)X100.007333778177727281797679727941659399700183925,000$
3Shane Wright (R)X99.007636748076686885818075717357678699700202925,000$
4Ivan Demidov (R)XX100.007233778277717181797773727343578899690183925,000$
5Liam Ohgren (R)X99.007537777880727279637076747553647799690201925,000$
6Brad Lambert (R)XX99.007434768073707082817775747464437999690202925,000$
7Curtis Lazar (A)X100.00784576797981836088536480687299609968N02931,499,999$
8Ridly Greig (R)X100.007538647573797978597169706949687799670221650,000$
9Tomas Marcinko (A)XX100.008348767779778053885256696399991099650361500,001$
10Matthew KniesX100.00734072747868687058676966695669709965N02131,499,999$
11Marcel Marcel (R)X100.008039757185747469567070707055466499650203925,000$
12Charlie Stramel (R)XX100.007738737383696961796669776946388199650192925,000$
13Zayne Parekh (R)X100.007331817775747481637576727637508899690183925,000$
14Zeev Buium (R)X100.007331817775767665637269766939738299690183925,000$
15Cole Hutson (R)X100.007028757871797981617770707037677699680183925,000$
16Aron Kiviharju (R)X100.007231797375717178577670687056476999670183925,000$
17David Reinbacher (R)X100.007640748174686865637071747144448999670192925,000$
18Tom Willander (R)X100.007437758272686865637368776644448399670192925,000$
19Mark Mitera (C)X100.004612998777767647544334774599991799660381500,001$
20Logan StanleyX100.008654707489768145544646755553506499660261700,000$
Scratches
1Zach HamillXX100.00407998573828167876158726899992299670361500,001$
2Matt FrattinXX100.00693481857777816355526767689999189967N0363625,000$
3David PastrnakX100.005926828674798258485058676572576399630283510,000$
4Marc StaalX100.00858064847977774743453369478888219967N0373625,000$
5Janis MoserX100.00693472727268686058676671669164609966N02431,499,999$
6Ludwig ByströmX100.007038848776828344513944706077744899660301600,000$
TEAM AVERAGE99.88723677797774756766656572686268659967
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
1Yaniv Perets100.00808380778684848484808355895799680242650,000$
2Linus Ullmark99.00808780819086868687697063594099670311600,000$
3Ilya Nabokov (R)100.00807775748181818181808153527799630213650,000$
Scratches
1Mack Guzda100.0072777885706565707072705061699958N0233625,000$
TEAM AVERAGE99.7578817879827979808175765565619964
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joe Sacco75838575818185USA525250,000$


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
1Ivan DemidovToronto Marlies (TOR)C/RW33141933-51204139126369211.11%1155816.92325967000002151.21%412177001.1811000122
2Connor BedardToronto Marlies (TOR)C321018289100423812640807.94%2055617.382351369000042144.02%209199001.0104000221
3Liam OhgrenToronto Marlies (TOR)LW331114250220503296334811.46%1759418.031346580222430055.26%38218000.8402000101
4Macklin CelebriniToronto Marlies (TOR)C33716234140472511643836.03%1552215.851451958000031146.43%84246000.8814000011
5Shane WrightToronto Marlies (TOR)C2911112282805122100506611.00%1545315.652131162000002051.46%3422010010.9701000140
6Brad LambertToronto Marlies (TOR)C/RW33138213604543114335611.40%1853216.152131370000011149.83%5942210000.7903000111
7Marcel MarcelToronto Marlies (TOR)LW339615-9160412381184411.11%1244713.570110220001231045.45%221215000.6701000110
8Charlie StramelToronto Marlies (TOR)C/RW33761311300432840142217.50%1348914.84000060003391042.37%59410000.5300000002
9Ridly GreigToronto Marlies (TOR)LW3310212-2260513492205310.87%1552715.981013130004774055.88%341112000.4600000021
10Zeev BuiumToronto Marlies (TOR)D33281028022273818165.26%2956317.06101242134362100%0418100.3600000010
11Cole HutsonToronto Marlies (TOR)D3317808022273413202.94%3750115.2103357100000000%0917000.3200000001
12Zayne ParekhToronto Marlies (TOR)D272576409183613135.56%3241415.3401146500002000%01012000.3411000100
13Matthew KniesToronto Marlies (TOR)LW2906608011103221290%92729.41000000111230062.50%832000.4400000000
14Curtis LazarToronto Marlies (TOR)C33336-12031405121275.88%1140912.420000011271080056.12%278614000.2900000101
15Tomas MarcinkoToronto Marlies (TOR)C/RW3332536028283071710.00%936010.92000003035540054.73%14826000.2800000000
16Mark MiteraToronto Marlies (TOR)D2805590031391070%2738113.6300000022193000%0016000.2600000001
17David ReinbacherToronto Marlies (TOR)D2905581201824171070%2444015.190000130112620025.00%4612000.2300000000
18Tom WillanderToronto Marlies (TOR)D33134916029253313103.03%2648814.8000001101150000%0815000.1600000000
19Aron KiviharjuToronto Marlies (TOR)D32033-9802029324170%2345414.2100004100003000%0129000.1300000001
20Logan StanleyToronto Marlies (TOR)D3302281802818221140%2944813.5900000000057000%0325000.0900000000
21Zach HamillToronto Marlies (TOR)C/RW1502200017233200%31449.63000000005490047.76%6752000.2800000000
22Marc StaalToronto Marlies (TOR)D261012140172011129.09%1529911.5200000000048000%013000.0700000000
23Janis MoserToronto Marlies (TOR)D12011-460866330%1316113.4600000000021000%033000.1200000000
24Ludwig ByströmToronto Marlies (TOR)D17000200230000%3754.4300000000063000%00200000000000
25Matt FrattinToronto Marlies (TOR)LW/RW5000000206180%2377.580000000000000%11100000000000
Team Total or Average71010515225754274066257912714367448.26%4281013814.2813193285665610163589515450.61%2300223244110.5131700091413
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
1Linus UllmarkToronto Marlies (TOR)219750.9292.5812802055772332230.69213214441
2Ilya NabokovToronto Marlies (TOR)62310.8934.1935800252341061000614100
3Yaniv PeretsToronto Marlies (TOR)61410.9163.273670020237107000.5002615010
Team Total or Average33121470.9202.99200620100124354533153333551


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 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
Aron KiviharjuToronto Marlies (TOR)D181996-09-03Yes185 Lbs5 ft10NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Brad LambertToronto Marlies (TOR)C/RW201994-08-19Yes188 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
Charlie StramelToronto Marlies (TOR)C/RW191995-08-19Yes221 Lbs6 ft4NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
Cole HutsonToronto Marlies (TOR)D181996-09-03Yes165 Lbs5 ft10NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Connor BedardToronto Marlies (TOR)C191995-08-19Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
Curtis LazarToronto Marlies (TOR)C291985-10-20No224 Lbs6 ft0YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
David PastrnakToronto Marlies (TOR)RW281986-11-06No200 Lbs6 ft0NoNoFree Agent2024-03-01NoNo32024-08-23Pro & Farm510,000$307,068$0$0$No510,000$510,000$-------NoNo-------
David ReinbacherToronto Marlies (TOR)D191995-08-19Yes189 Lbs6 ft3NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
Ilya NabokovToronto Marlies (TOR)G211993-09-03Yes179 Lbs6 ft1NoNoProspectNoNo32024-09-02Pro & Farm650,000$391,361$0$0$No650,000$650,000$-------NoNo-------
Ivan DemidovToronto Marlies (TOR)C/RW181996-09-03Yes192 Lbs5 ft11NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Janis MoserToronto Marlies (TOR)D241990-09-01No187 Lbs6 ft1YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Liam OhgrenToronto Marlies (TOR)LW201994-09-01Yes210 Lbs6 ft5NoNoTrade2024-01-07NoNo1Pro & Farm925,000$556,937$0$0$No------------------
Linus UllmarkToronto Marlies (TOR)G311983-10-14No211 Lbs6 ft3NoNoTrade2024-08-16NoNo1Pro & Farm600,000$361,257$0$0$No------------------
Logan StanleyToronto Marlies (TOR)D261988-09-27No250 Lbs6 ft11NoNoTrade2024-12-06NoNo1Pro & Farm700,000$421,466$0$0$No------------------
Ludwig ByströmToronto Marlies (TOR)D301984-10-05No213 Lbs6 ft0NoNoN/ANoNo1Pro & Farm600,000$361,257$0$0$No------------------
Mack GuzdaToronto Marlies (TOR)G231991-09-01No216 Lbs6 ft6YesNoFree AgentNoNo32024-10-07Pro & Farm625,000$376,309$0$0$No625,000$625,000$-------YesYes-------
Macklin CelebriniToronto Marlies (TOR)C181996-09-03Yes196 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Marc StaalToronto Marlies (TOR)D371977-08-07No222 Lbs6 ft3YesNoFree AgentNoNo32024-10-07Pro & Farm625,000$376,309$0$0$No625,000$625,000$-------YesYes-------
Marcel MarcelToronto Marlies (TOR)LW201994-09-03Yes243 Lbs6 ft4NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Mark MiteraToronto Marlies (TOR)D381976-08-06No209 Lbs6 ft3NoNoN/ANoNo1Pro & Farm500,001$301,048$0$0$No------------------
Matt FrattinToronto Marlies (TOR)LW/RW361978-10-14No213 Lbs6 ft1YesNoFree AgentNoNo32024-10-07Pro & Farm625,000$376,309$0$0$No625,000$625,000$-------YesYes-------
Matthew KniesToronto Marlies (TOR)LW211993-09-01No216 Lbs6 ft4YesNoFree AgentNoNo32024-09-02Pro & Farm1,499,999$903,141$0$0$No1,499,999$1,499,999$-------YesYes-------
Ridly GreigToronto Marlies (TOR)LW221992-06-23Yes179 Lbs6 ft2NoNoTrade2024-12-06NoNo1Pro & Farm650,000$391,361$0$0$No------------------
Shane WrightToronto Marlies (TOR)C201994-10-01Yes204 Lbs6 ft2NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
Tom WillanderToronto Marlies (TOR)D191995-08-19Yes182 Lbs6 ft2NoNoN/ANoNo2Pro & Farm925,000$556,937$0$0$No925,000$--------No--------
Tomas MarcinkoToronto Marlies (TOR)C/RW361978-10-14No218 Lbs6 ft4NoNoN/ANoNo1Pro & Farm500,001$301,048$0$0$No------------------
Yaniv PeretsToronto Marlies (TOR)G241990-08-19No183 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$391,361$0$0$No650,000$--------No--------
Zach HamillToronto Marlies (TOR)C/RW361978-08-06No200 Lbs5 ft11NoNoN/ANoNo1Pro & Farm500,001$301,048$0$0$No------------------
Zayne ParekhToronto Marlies (TOR)D181996-09-03Yes181 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Zeev BuiumToronto Marlies (TOR)D181996-09-03Yes183 Lbs6 ft0NoNoProspectNoNo32024-09-02Pro & Farm925,000$556,937$0$0$No925,000$925,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3024.20202 Lbs6 ft22.23839,500$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Connor BedardShane WrightCharlie Stramel30014
2Liam OhgrenIvan DemidovCurtis Lazar30023
3Macklin CelebriniBrad LambertRidly Greig30023
4Matthew KniesTomas MarcinkoMarcel Marcel10221
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cole HutsonZeev Buium25032
2Zayne ParekhLogan Stanley25032
3Tom WillanderDavid Reinbacher25032
4Aron KiviharjuMark Mitera25032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Connor BedardShane WrightBrad Lambert60014
2Liam OhgrenIvan DemidovMacklin Celebrini40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zayne ParekhCole Hutson60023
2David ReinbacherZeev Buium40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Charlie StramelLiam Ohgren60122
2Tomas MarcinkoCurtis Lazar40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tom WillanderLogan Stanley60122
2Zeev BuiumMark Mitera40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tomas Marcinko60122Tom WillanderLogan Stanley60122
2Charlie Stramel40122Zeev BuiumMark Mitera40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Shane WrightConnor Bedard60122
2Tomas MarcinkoMatthew Knies40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zayne ParekhZeev Buium60032
2Tom WillanderDavid Reinbacher40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Connor BedardShane WrightIvan DemidovCole HutsonZayne Parekh
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ridly GreigTomas MarcinkoCharlie StramelZeev BuiumLogan Stanley
Extra Forwards
Normal PowerPlayPenalty Kill
Macklin Celebrini, Brad Lambert, Marcel MarcelMarcel Marcel, Ridly GreigRidly Greig
Extra Defensemen
Normal PowerPlayPenalty Kill
Cole Hutson, Aron Kiviharju, Mark MiteraDavid ReinbacherDavid Reinbacher, Aron Kiviharju
Penalty Shots
Ivan Demidov, Zayne Parekh, Macklin Celebrini, Marcel Marcel, Ridly Greig
Goalie
#1 : Linus Ullmark, #2 : Yaniv Perets, #3 : Ilya Nabokov
Custom OT Lines Forwards
Shane Wright, Connor Bedard, Ivan Demidov, Liam Ohgren, Brad Lambert, Macklin Celebrini, Macklin Celebrini, Marcel Marcel, Charlie Stramel, Ridly Greig, Matthew Knies
Custom OT Lines Defensemen
Zayne Parekh, Cole Hutson, Zeev Buium, Aron Kiviharju, Tom Willander


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Abbotsford's Canucks10000010541100000105410000000000021.0005712003133335484284013693143910226233.33%5180.00%143785351.23%46392150.27%26049152.95%727424694300592289
2Bakersfield Condors1010000014-3000000000001010000014-300.000112003133335294284013693136171029200.00%50100.00%143785351.23%46392150.27%26049152.95%727424694300592289
3Belleville Senators1010000013-21010000013-20000000000000.000123003133335334284013693132121016200.00%50100.00%043785351.23%46392150.27%26049152.95%727424694300592289
4Bridgeport's Islanders1010000012-1000000000001010000012-100.00011200313333539428401369312918230200.00%10100.00%043785351.23%46392150.27%26049152.95%727424694300592289
5Calgary Wranglers10001000541100010005410000000000021.0005813003133335334284013693145121613100.00%8275.00%243785351.23%46392150.27%26049152.95%727424694300592289
6Charlotte Checkers211000007701010000012-11100000065120.500711180031333358342840136931712214435120.00%7271.43%043785351.23%46392150.27%26049152.95%727424694300592289
7Chicago Wolves10001000321000000000001000100032121.00035800313333536428401369313713423100.00%20100.00%043785351.23%46392150.27%26049152.95%727424694300592289
8Colorado Eagles1000010045-11000010045-10000000000010.50045900313333550428401369313491518100.00%6350.00%043785351.23%46392150.27%26049152.95%727424694300592289
9Grand Rapids Griffins1010000012-1000000000001010000012-100.00012300313333531428401369314211811000%4175.00%043785351.23%46392150.27%26049152.95%727424694300592289
10Hartford Wolfpack1010000024-2000000000001010000024-200.000246103133335394284013693133156226116.67%3166.67%043785351.23%46392150.27%26049152.95%727424694300592289
11Henderson Silver Knights1000010012-11000010012-10000000000010.50011200313333531428401369314118818300.00%40100.00%043785351.23%46392150.27%26049152.95%727424694300592289
12Hershey Bears1000010023-1000000000001000010023-110.500224003133335374284013693146141017100.00%50100.00%043785351.23%46392150.27%26049152.95%727424694300592289
13Iowa Wild21100000660110000004311010000023-120.50067130031333357742840136931762514296116.67%7271.43%143785351.23%46392150.27%26049152.95%727424694300592289
14Laval Rocket211000009811010000047-31100000051420.50091221003133335654284013693182291648500.00%8187.50%043785351.23%46392150.27%26049152.95%727424694300592289
15Lehigh Valley Phantoms11000000514110000005140000000000021.000581300313333536428401369313072163133.33%10100.00%043785351.23%46392150.27%26049152.95%727424694300592289
16Manitoba Moose1010000023-1000000000001010000023-100.00024600313333536428401369313886243133.33%30100.00%043785351.23%46392150.27%26049152.95%727424694300592289
17Ontario Reign11000000651110000006510000000000021.0006111700313333536428401369314281463133.33%7271.43%043785351.23%46392150.27%26049152.95%727424694300592289
18Providence Bruins2010000169-31010000035-21000000134-110.25061117103133335754284013693171281246100.00%6183.33%043785351.23%46392150.27%26049152.95%727424694300592289
19Rochester Americans1000000123-1000000000001000000123-110.500235003133335334284013693144121621100.00%80100.00%043785351.23%46392150.27%26049152.95%727424694300592289
20Rockford IceHogs211000006511010000034-11100000031220.50069150031333357042840136931752510285120.00%5260.00%043785351.23%46392150.27%26049152.95%727424694300592289
21San Diego Gulls 1000010045-11000010045-10000000000010.500481200313333531428401369313710615200.00%3166.67%043785351.23%46392150.27%26049152.95%727424694300592289
22San Jose Barracuda1010000024-21010000024-20000000000000.00022410313333537428401369313314621100.00%3233.33%043785351.23%46392150.27%26049152.95%727424694300592289
23Springfield Thunderbirds22000000624110000004131100000021141.0006915003133335764284013693164164397114.29%20100.00%043785351.23%46392150.27%26049152.95%727424694300592289
24Texas Stars1010000035-21010000035-20000000000000.000358003133335294284013693144716212150.00%8450.00%043785351.23%46392150.27%26049152.95%727424694300592289
25Utica Comets210000017431000000123-11100000051430.750712190031333358442840136931774214354125.00%70100.00%043785351.23%46392150.27%26049152.95%727424694300592289
26Wilkes-Barre/Scranton Penguins1010000034-11010000034-10000000000000.0003690031333353842840136931449820500.00%40100.00%143785351.23%46392150.27%26049152.95%727424694300592289
Total3391402413100106-61848013116067-715560110240391310.4701001562563031333351212428401369311246410257631781215.38%1272580.31%643785351.23%46392150.27%26049152.95%727424694300592289
_Since Last GM Reset3391402413100106-61848013116067-715560110240391310.4701001562563031333351212428401369311246410257631781215.38%1272580.31%643785351.23%46392150.27%26049152.95%727424694300592289
_Vs Conference3391402413100106-61848013116067-715560110240391310.4701001562563031333351212428401369311246410257631781215.38%1272580.31%643785351.23%46392150.27%26049152.95%727424694300592289
_Vs Division1747011034952-3714000011925-610330110230273140.41249791282031333356294284013693163823212234836411.11%61690.16%143785351.23%46392150.27%26049152.95%727424694300592289

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3331W41001562561212124641025763130
All Games
GPWLOTWOTL SOWSOLGFGA
339142413100106
Home Games
GPWLOTWOTL SOWSOLGFGA
184813116067
Visitor Games
GPWLOTWOTL SOWSOLGFGA
155611024039
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
781215.38%1272580.31%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
428401369313133335
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
43785351.23%46392150.27%26049152.95%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
727424694300592289


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
112Toronto Marlies1Bakersfield Condors4ALBoxScore
319Toronto Marlies2Manitoba Moose3ALBoxScore
533Abbotsford's Canucks4Toronto Marlies5BWXXBoxScore
742Ontario Reign5Toronto Marlies6BWBoxScore
955San Diego Gulls 5Toronto Marlies4BLXBoxScore
1062Colorado Eagles5Toronto Marlies4BLXBoxScore
1382Texas Stars5Toronto Marlies3BLBoxScore
1595Toronto Marlies3Providence Bruins4ALXXBoxScore
18109Belleville Senators3Toronto Marlies1BLBoxScore
22131Toronto Marlies2Rochester Americans3ALXXBoxScore
24141Toronto Marlies2Hershey Bears3ALXBoxScore
26156Toronto Marlies5Laval Rocket1AWBoxScore
28166Wilkes-Barre/Scranton Penguins4Toronto Marlies3BLBoxScore
29173San Jose Barracuda4Toronto Marlies2BLBoxScore
33195Toronto Marlies3Chicago Wolves2AWXBoxScore
36214Iowa Wild3Toronto Marlies4BWBoxScore
38222Calgary Wranglers4Toronto Marlies5BWXBoxScore
40237Utica Comets3Toronto Marlies2BLXXBoxScore
42246Toronto Marlies1Bridgeport's Islanders2ALBoxScore
45264Toronto Marlies3Rockford IceHogs1AWBoxScore
47279Rockford IceHogs4Toronto Marlies3BLBoxScore
48284Toronto Marlies1Grand Rapids Griffins2ALBoxScore
50293Charlotte Checkers2Toronto Marlies1BLBoxScore
53312Toronto Marlies2Hartford Wolfpack4ALBoxScore
55324Toronto Marlies2Iowa Wild3ALBoxScore
57335Lehigh Valley Phantoms1Toronto Marlies5BWBoxScore
60350Providence Bruins5Toronto Marlies3BLBoxScore
63370Henderson Silver Knights2Toronto Marlies1BLXBoxScore
66386Laval Rocket7Toronto Marlies4BLBoxScore
68398Toronto Marlies5Utica Comets1AWBoxScore
71419Toronto Marlies6Charlotte Checkers5AWBoxScore
72420Toronto Marlies2Springfield Thunderbirds1AWBoxScore
76444Springfield Thunderbirds1Toronto Marlies4BWBoxScore
79465Toronto Marlies-San Diego Gulls -
80473Toronto Marlies-San Jose Barracuda-
83485Toronto Marlies-Syracuse Crunch-
86504Bakersfield Condors-Toronto Marlies-
88515Bridgeport's Islanders-Toronto Marlies-
89524Toronto Marlies-Colorado Eagles-
92540Grand Rapids Griffins-Toronto Marlies-
95560Rochester Americans-Toronto Marlies-
98578Toronto Marlies-Wilkes-Barre/Scranton Penguins-
100587Hartford Wolfpack-Toronto Marlies-
102598Toronto Marlies-Calgary Wranglers-
103604Toronto Marlies-Ontario Reign-
105615Toronto Marlies-Abbotsford's Canucks-
107628Toronto Marlies-Henderson Silver Knights-
109640Manitoba Moose-Toronto Marlies-
110645Syracuse Crunch-Toronto Marlies-
113664Toronto Marlies-Lehigh Valley Phantoms-
116680Hershey Bears-Toronto Marlies-
118692Toronto Marlies-Belleville Senators-
123720Chicago Wolves-Toronto Marlies-
129750Toronto Marlies-Texas Stars-
131760Bridgeport's Islanders-Toronto Marlies-
133773Toronto Marlies-Abbotsford's Canucks-
135783Utica Comets-Toronto Marlies-
137802Syracuse Crunch-Toronto Marlies-
139812Toronto Marlies-Providence Bruins-
141824Ontario Reign-Toronto Marlies-
142832Toronto Marlies-Grand Rapids Griffins-
144843Toronto Marlies-Charlotte Checkers-
146855Toronto Marlies-Springfield Thunderbirds-
149874Manitoba Moose-Toronto Marlies-
151888Henderson Silver Knights-Toronto Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
154905Toronto Marlies-Belleville Senators-
156921Lehigh Valley Phantoms-Toronto Marlies-
157926San Jose Barracuda-Toronto Marlies-
160945San Diego Gulls -Toronto Marlies-
162958Toronto Marlies-Texas Stars-
165977Chicago Wolves-Toronto Marlies-
167989Hershey Bears-Toronto Marlies-
1701010Toronto Marlies-Bakersfield Condors-
1721023Toronto Marlies-Rochester Americans-
1741036Colorado Eagles-Toronto Marlies-
1761050Hartford Wolfpack-Toronto Marlies-
1771056Toronto Marlies-Iowa Wild-
1801074Toronto Marlies-Wilkes-Barre/Scranton Penguins-
1821092Toronto Marlies-Calgary Wranglers-
1851108Laval Rocket-Toronto Marlies-
1871121Toronto Marlies-Rockford IceHogs-
1901136Toronto Marlies-Colorado Eagles-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity50005000
Ticket Price8045
Attendance43,61138,883
Attendance PCT48.46%43.20%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
23 4583 - 45.83% 433,641$7,805,535$10000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,269,569$ 5,037,000$ 5,037,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,954,125$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
9,973,739$ 115 27,681$ 3,183,315$




Toronto Marlies Players Stat Leaders (Regular Season)

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

Toronto Marlies Goalies Stat Leaders (Regular Season)

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

Toronto Marlies Career Team Stats

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

Toronto Marlies Players Stat Leaders (Play-Off)

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

Toronto Marlies Goalies Stat Leaders (Play-Off)

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