Marlies
GP: 19 | W: 11 | L: 7 | OTL: 1 | P: 23
GF: 69 | GA: 64 | PP%: 34.62% | PK%: 73.08%
GM : Steve Quach | Morale : 50 | Team Overall : 64
Next Games #329 vs Checkers
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Marlies
11-7-1, 23pts
3
FINAL
4 IceHogs
8-9-2, 18pts
Team Stats
W1StreakOTL1
6-3-0Home Record5-1-2
5-4-1Away Record3-8-0
6-3-1Last 10 Games4-4-2
3.632.84
3.373.58
34.62%23.08%
73.08%58.33%
Marlies
11-7-1, 23pts
4
FINAL
3 Penguins
13-5-2, 28pts
Team Stats
W1StreakOTL1
6-3-0Home Record8-2-1
5-4-1Away Record5-3-1
6-3-1Last 10 Games5-4-1
3.634.10
3.372.60
34.62%29.73%
73.08%74.19%
Checkers
10-7-4, 24pts
2023-11-28
Marlies
11-7-1, 23pts
Team Stats
W2StreakW1
7-1-26-3-0
3-6-25-4-1
5-3-2Last 10 Games6-3-1
3.673.63
2.953.37
18.92%34.62%
76.00%73.08%
Firebirds
12-9-1, 25pts
2023-11-30
Marlies
11-7-1, 23pts
Team Stats
L1StreakW1
8-3-06-3-0
4-6-15-4-1
6-4-0Last 10 Games6-3-1
3.683.63
3.143.37
17.95%34.62%
78.95%73.08%
Bruins
12-7-2, 26pts
2023-12-02
Marlies
11-7-1, 23pts
Team Stats
W1StreakW1
4-3-26-3-0
8-4-05-4-1
7-2-1Last 10 Games6-3-1
4.523.63
3.383.37
20.69%34.62%
82.76%73.08%
Noah JuulsenGoals
Noah Juulsen
20
Patrick GilesAssists
Patrick Giles
23
Kale ClaguePoints
Kale Clague
35
Cale FleuryPlus/Minus
Cale Fleury
11
Dustin WolfWins
Dustin Wolf
11
Dustin WolfSave Percentage
Dustin Wolf
0.911

Team Stats

69
3.63 GFG
Shots For
692
36.42 Avg

34.6%
9 GF

34.9%
Goals Against
64
3.37 GAA
Shots Against
706
37.16 Avg

73.1%
7 GA

38.0%


General ManagerSteve Quach
Atlantic Division
Eastern Conference




Arena Capacity5,000
Attendance5,000
5,000




26
18
44 / 55
Prospects32


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 Average
1Cole Cassels0X100.00536582555482954265616443532540050630281750,000$
2Garrett Wilson0X100.00586574555482954236596445532540050630321750,000$
3Logan Hutsko (R)0X100.00526684535483974065596443522540050620241867,500$
4Patrick Giles (R)0X100.00573577575758454565636445542540050620232925,000$
5Oskar Back (R)0XX100.00516685535383973965586343512540050610232850,833$
6John Hayden0XX100.00555479565658644365596548542540050610283808,500$
7Brayden Tracey (R)0X100.00535882545465754136596440532540050600222925,000$
8Ivan Morozov (R)0X100.00545981525368793965576434512540050580231925,000$
9Timur Ibragimov (R)0X100.00514285525658453736566439502540050570222925,000$
10Sam Hentges (R)0X100.00524084515458453765566337502540050570231855,000$
11Luka Burzan (R)0X100.00513585515658453665566332502540050560232925,000$
12Noah Juulsen0X100.00855393678055556140646755646464050740262750,000$
13Cale Fleury0X100.00805197668149556140666855656565050730242750,000$
14Kale Clague (R)0X100.00695394688058556240676855656565050730252750,000$
15Billy Sweezey0X100.00556580515282953736576336502540050600271762,500$
16Jeremy McKenna (R)0X100.00523884545858454136596439532540050590241925,000$
17Olli Juolevi (R)0X100.00534982535558513936596335512540050570252750,000$
18Austin Strand0X100.00554679525358453836576330512540050560262750,000$
Scratches
1Andrew Poturalski0X100.00526684575783974565636451552540050650291762,500$
2Curtis McKenzie0X100.00546680565585984436606548542540050640321750,000$
3Gage Quinney0XX100.00524983615958515165646653592540050640271750,000$
4Gabriel Dumont0X100.00536881555588994365596444542540050630321750,000$
5Alex Green (R)0X100.00536783515286993736576338502540050600251750,000$
TEAM AVERAGE100.0057558356586871435060644354304305062
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 Average
1Dustin Wolf (R)100.0075999378797974788276782555050810222925,000$
2Michael Houser100.0073655375766472737474742555050730301775,000$
Scratches
1Christopher Gibson100.0072655374756470727273722555050720301750,000$
TEAM AVERAGE100.007376667677697274767475255505075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Kale ClagueMarlies (TOR)D1916193510204549137526611.68%5448425.472351622011025300.00%05043011.4500000450
2Patrick GilesMarlies (TOR)C194232754024426225506.45%1939020.56044321000000020.561174021001.3800000111
3Noah JuulsenMarlies (TOR)D19205251003846100484220.00%3334718.275051621000317400.00%03835011.4400000350
4Cale FleuryMarlies (TOR)D1987151100323774352910.81%2330816.260000000002120.00%02626000.9700000021
5Oskar BackMarlies (TOR)C/RW1901212-40018333416280.00%1444523.430333210002220023.43290812000.5422000000
6Cole CasselsMarlies (TOR)C193710-22017244210387.14%1639020.561127231013210020.56262913000.5112000000
7Garrett WilsonMarlies (TOR)LW192810-317533224412254.55%1035418.64134622000000118.64181711000.5600010000
8John HaydenMarlies (TOR)C/RW193710-22025415217275.77%1033917.8401111000000017.84121810000.5900000001
9Logan HutskoMarlies (TOR)C19358-1752032425267.14%1343823.080111210001210023.08314158000.3602001000
10Brayden TraceyMarlies (TOR)LW19347-12023243614228.33%1338420.240003220002190020.24142014000.3600000001
11Ivan MorozovMarlies (TOR)C193365402018335149.09%831716.7000000000000016.7021497100.3800000001
12Austin StrandMarlies (TOR)D1913428016573314.29%947525.03000121000021000.00%158000.1700000000
13Olli JuoleviMarlies (TOR)D19112-13601116910611.11%2037419.71000022000020100.00%01713000.1100000000
14Sam HentgesMarlies (TOR)C190227402017137140.00%531116.3800000000000016.381264000.1300000000
15Billy SweezeyMarlies (TOR)D19011-97510147870.00%1531516.580000000000000.00%0911000.0600001000
16Timur IbragimovMarlies (TOR)LW19000-200010110.00%1241.300000000002000.00%001000.00%00000000
17Luka BurzanMarlies (TOR)C19000000100000.00%010.060000000000000.06100000.00%00000000
Team Total or Average32367107174465153534216922683989.68%263570217.659162557222112111769347.69%1019307237120.61360128135
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
1Dustin WolfMarlies (TOR)1911710.9113.2811542063705404210.8336190210
Team Total or Average1911710.9113.2811542063705404210.8336190210


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 Clause Trade Block Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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 10Link
Alex GreenMarlies (TOR)D251998-06-18Yes194 Lbs6 ft3NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Andrew PoturalskiMarlies (TOR)C291994-01-14No183 Lbs5 ft10NoNoNo1Pro & Farm762,500$567,904$762,500$567,904$0$0$NoLink / NHL Link
Austin StrandMarlies (TOR)D261997-02-17No215 Lbs6 ft3NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Billy SweezeyMarlies (TOR)D271996-02-06No205 Lbs6 ft2NoNoNo1Pro & Farm762,500$567,904$762,500$567,904$0$0$NoLink / NHL Link
Brayden TraceyMarlies (TOR)LW222001-05-28Yes177 Lbs6 ft0NoNoNo2Farm Only925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Cale FleuryMarlies (TOR)D241998-11-19No213 Lbs6 ft1NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Christopher GibsonMarlies (TOR)G301992-12-27No217 Lbs6 ft2NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Cole CasselsMarlies (TOR)C281995-05-04No178 Lbs6 ft0NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Curtis McKenzieMarlies (TOR)LW321991-02-22No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Dustin WolfMarlies (TOR)G222001-04-16Yes175 Lbs6 ft0NoNoNo2Farm Only925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Gabriel DumontMarlies (TOR)C321990-10-06No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Gage QuinneyMarlies (TOR)C/LW271995-07-29No200 Lbs5 ft11NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Garrett WilsonMarlies (TOR)LW321991-03-16No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$558,594$750,000$558,594$0$0$NoLink / NHL Link
Ivan MorozovMarlies (TOR)C232000-05-05Yes200 Lbs6 ft1NoNoNo1Pro & Farm925,000$688,932$925,000$688,932$0$0$NoLink / NHL Link
Jeremy McKennaMarlies (TOR)D241999-04-20Yes178 Lbs5 ft10NoNoNo1Farm Only925,000$688,932$925,000$688,932$0$0$NoLink / NHL Link
John HaydenMarlies (TOR)C/RW281995-02-14No223 Lbs6 ft3NoNoNo3Pro & Farm808,500$602,164$808,500$602,164$0$0$No808,500$808,500$Link / NHL Link
Kale ClagueMarlies (TOR)D251998-06-05Yes190 Lbs6 ft0NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Logan HutskoMarlies (TOR)C241999-02-11Yes172 Lbs5 ft10NoNoNo1Pro & Farm867,500$646,107$867,500$646,107$0$0$NoLink / NHL Link
Luka BurzanMarlies (TOR)C232000-01-07Yes183 Lbs6 ft0NoNoNo2Farm Only925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Michael HouserMarlies (TOR)G301992-09-13No185 Lbs6 ft1NoNoNo1Pro & Farm775,000$577,214$775,000$577,214$0$0$NoLink / NHL Link
Noah JuulsenMarlies (TOR)D261997-04-02No201 Lbs6 ft2NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Olli JuoleviMarlies (TOR)D251998-05-05Yes204 Lbs6 ft3NoNoNo2Pro & Farm750,000$558,594$750,000$558,594$0$0$No750,000$Link / NHL Link
Oskar BackMarlies (TOR)C/RW232000-03-12Yes205 Lbs6 ft3NoNoNo2Pro & Farm850,833$633,693$850,833$633,693$0$0$No850,833$Link / NHL Link
Patrick GilesMarlies (TOR)C232000-01-03Yes216 Lbs6 ft5NoNoNo2Farm Only925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Sam HentgesMarlies (TOR)C231999-07-26Yes191 Lbs6 ft0NoNoNo1Pro & Farm855,000$636,797$855,000$636,797$0$0$NoLink / NHL Link
Timur IbragimovMarlies (TOR)LW222000-10-12Yes183 Lbs6 ft1NoNoNo2Farm Only925,000$688,932$925,000$688,932$0$0$No925,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2625.96196 Lbs6 ft11.50813,724$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brayden TraceyLogan HutskoCole Cassels30122
2Garrett WilsonOskar BackJohn Hayden30122
3Patrick GilesIvan MorozovSam Hentges20122
4Oskar BackPatrick GilesLogan Hutsko20122
5 vs 5 Defence
Line #DefenceDefenceTime %PHYDFOF
1Kale ClagueCale Fleury30122
2Austin StrandNoah Juulsen30122
3Olli JuoleviBilly Sweezey20122
4Austin StrandKale Clague20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brayden TraceyLogan HutskoCole Cassels50122
2Garrett WilsonOskar BackPatrick Giles50122
Power Play Defence
Line #DefenceDefenceTime %PHYDFOF
1Kale ClagueOlli Juolevi50122
2Austin StrandNoah Juulsen50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Logan HutskoCole Cassels50122
2Oskar BackBrayden Tracey50122
Penalty Kill 4 Players Defence
Line #DefenceDefenceTime %PHYDFOF
1Kale ClagueOlli Juolevi50122
2Austin StrandNoah Juulsen50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenceDefenceTime %PHYDFOF
1Logan Hutsko50122Kale ClagueOlli Juolevi50122
2Brayden Tracey50122Austin StrandNoah Juulsen50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan HutskoPatrick Giles50122
2Oskar BackBrayden Tracey50122
4 vs 4 Defence
Line #DefenceDefenceTime %PHYDFOF
1Kale ClagueOlli Juolevi50122
2Austin StrandNoah Juulsen50122
Last Minute Offensive
Left WingCenterRight WingDefenceDefence
Brayden TraceyLogan HutskoCole CasselsKale ClagueAustin Strand
Last Minute Defensive
Left WingCenterRight WingDefenceDefence
Brayden TraceyLogan HutskoCole CasselsKale ClagueAustin Strand
Extra Forwards
Normal PowerPlayPenalty Kill
Logan Hutsko, Oskar Back, Brayden TraceyLogan Hutsko, Oskar BackLogan Hutsko
Extra Defencemen
Normal PowerPlayPenalty Kill
Olli Juolevi, Kale Clague, Austin StrandOlli JuoleviAustin Strand, Kale Clague
Penalty Shots
Logan Hutsko, Cole Cassels, Oskar Back, Brayden Tracey, John Hayden
Goalie
#1 : Dustin Wolf, #2 : Michael Houser
Custom OT Lines Forwards
Logan Hutsko, Cole Cassels, Oskar Back, Brayden Tracey, John Hayden, Ivan Morozov, Ivan Morozov, Sam Hentges, Garrett Wilson, Patrick Giles, Timur Ibragimov
Custom OT Lines Defencemen
Kale Clague, Cale Fleury, Austin Strand, Noah Juulsen, Olli Juolevi


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
1Admirals11000000624000000000001100000062421.00061117002722174412392142232236172232150.00%10100.00%017435149.57%18738248.95%12527245.96%377226458157319157
2Americans10000010431100000104310000000000021.0004480027221743823921422322318216200.00%10100.00%017435149.57%18738248.95%12527245.96%377226458157319157
3Bears11000000321000000000001100000032121.00034700272217438239214223222217023000.00%000.00%017435149.57%18738248.95%12527245.96%377226458157319157
4Bruins10000010651000000000001000001065121.00068140027221744223921422322379014300.00%000.00%017435149.57%18738248.95%12527245.96%377226458157319157
5Canucks1010000027-51010000027-50000000000000.000246002722174372392142232243104133133.33%2150.00%017435149.57%18738248.95%12527245.96%377226458157319157
6Checkers1010000016-5000000000001010000016-500.00011200272217428239214223223510414100.00%20100.00%017435149.57%18738248.95%12527245.96%377226458157319157
7Crunch21100000550110000003121010000024-220.500571200272217473239214223226935738100.00%10100.00%017435149.57%18738248.95%12527245.96%377226458157319157
8Griffins1010000035-2000000000001010000035-200.000347002722174372392142232235971211100.00%10100.00%017435149.57%18738248.95%12527245.96%377226458157319157
9IceHogs21000100651110000003121000010034-130.750681400272217467239214223226928845100.00%4175.00%017435149.57%18738248.95%12527245.96%377226458157319157
10Penguins10001000431000000000001000100043121.000461000272217434239214223224311013200.00%000.00%017435149.57%18738248.95%12527245.96%377226458157319157
11Reign11000000624110000006240000000000021.0006111700272217438239214223224496243266.67%30100.00%017435149.57%18738248.95%12527245.96%377226458157319157
12Rocket1010000024-21010000024-20000000000000.00024610272217442239214223223716220100.00%10100.00%017435149.57%18738248.95%12527245.96%377226458157319157
13Senators11000000725110000007250000000000021.0007121900272217445239214223223917420000.00%20100.00%117435149.57%18738248.95%12527245.96%377226458157319157
14Stars11000000532000000000001100000053221.0005712002722174312392142232236140192150.00%000.00%017435149.57%18738248.95%12527245.96%377226458157319157
15Wild2020000069-31010000035-21010000034-100.000610160027221746623921422322913015352150.00%550.00%017435149.57%18738248.95%12527245.96%377226458157319157
16Wranglers11000000312110000003120000000000021.0003690027221743523921422322392362422100.00%30100.00%017435149.57%18738248.95%12527245.96%377226458157319157
Total1987011206964595300010332671034011103638-2230.60569107176102722174692239214223227062636735326934.62%26773.08%117435149.57%18738248.95%12527245.96%377226458157319157
_Since Last GM Reset1987011206964595300010332671034011103638-2230.60569107176102722174692239214223227062636735326934.62%26773.08%117435149.57%18738248.95%12527245.96%377226458157319157
_Vs Conference103401020353504210001016106613010101925-6120.60035508510272217437723921422322348132261701119.09%80100.00%117435149.57%18738248.95%12527245.96%377226458157319157
_Vs Division824000202830-24210001016106403000101220-880.50028406810272217430523921422322283104261349111.11%80100.00%117435149.57%18738248.95%12527245.96%377226458157319157

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1923W1691071766927062636735310
All Games
GPWLOTWOTL SOWSOLGFGA
198711206964
Home Games
GPWLOTWOTL SOWSOLGFGA
95300103326
Visitor Games
GPWLOTWOTL SOWSOLGFGA
103411103638
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
26934.62%26773.08%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
239214223222722174
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17435149.57%18738248.95%12527245.96%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
377226458157319157


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 Visiting Team Score Home Team Score ST OT SO RI Link
2 - 2023-10-115Rocket4Marlies2BLBoxScore
5 - 2023-10-1426Wild5Marlies3BLBoxScore
7 - 2023-10-1638IceHogs1Marlies3BWBoxScore
10 - 2023-10-1952Marlies1Checkers6ALBoxScore
12 - 2023-10-2170Marlies2Crunch4ALBoxScore
15 - 2023-10-2483Marlies3Bears2AWBoxScore
17 - 2023-10-26108Marlies5Stars3AWBoxScore
19 - 2023-10-28119Marlies6Admirals2AWBoxScore
22 - 2023-10-31139Reign2Marlies6BWBoxScore
24 - 2023-11-02145Marlies6Bruins5AWXXBoxScore
26 - 2023-11-04165Americans3Marlies4BWXXBoxScore
28 - 2023-11-06177Crunch1Marlies3BWBoxScore
30 - 2023-11-08190Senators2Marlies7BWBoxScore
32 - 2023-11-10207Wranglers1Marlies3BWBoxScore
33 - 2023-11-11215Canucks7Marlies2BLBoxScore
39 - 2023-11-17251Marlies3Griffins5ALBoxScore
41 - 2023-11-19267Marlies3Wild4ALBoxScore
46 - 2023-11-24295Marlies3IceHogs4ALXBoxScore
47 - 2023-11-25311Marlies4Penguins3AWXBoxScore
50 - 2023-11-28329Checkers-Marlies-
52 - 2023-11-30346Firebirds-Marlies-
54 - 2023-12-02364Bruins-Marlies-
59 - 2023-12-07395Marlies-Senators-
61 - 2023-12-09413Admirals-Marlies-
63 - 2023-12-11429Marlies-Islanders-
64 - 2023-12-12432Marlies-Wolf Pack-
66 - 2023-12-14449Monsters-Marlies-
68 - 2023-12-16467Penguins-Marlies-
71 - 2023-12-19489Wolf Pack-Marlies-
73 - 2023-12-21498Marlies-Americans-
75 - 2023-12-23518Marlies-Monsters-
79 - 2023-12-27531Senators-Marlies-
81 - 2023-12-29546Marlies-Monsters-
82 - 2023-12-30561Wolves-Marlies-
85 - 2024-01-02585Marlies-Reign-
86 - 2024-01-03588Marlies-Gulls-
89 - 2024-01-06607Marlies-Barracuda-
92 - 2024-01-09627Barracuda-Marlies-
94 - 2024-01-11646Marlies-Islanders-
96 - 2024-01-13663Eagles-Marlies-
97 - 2024-01-14670Griffins-Marlies-
99 - 2024-01-16688Marlies-Condors-
101 - 2024-01-18697Marlies-Wranglers-
103 - 2024-01-20710Marlies-Canucks-
104 - 2024-01-21723Marlies-Firebirds-
107 - 2024-01-24740Moose-Marlies-
110 - 2024-01-27763Marlies-Moose-
119 - 2024-02-05782Islanders-Marlies-
121 - 2024-02-07792Stars-Marlies-
124 - 2024-02-10813Marlies-Senators-
127 - 2024-02-13827Thunderbirds-Marlies-
129 - 2024-02-15843Phantoms-Marlies-
131 - 2024-02-17858Gulls-Marlies-
133 - 2024-02-19867Marlies-Thunderbirds-
135 - 2024-02-21887Marlies-Roadrunners-
136 - 2024-02-22898Marlies-Silver Knights-
138 - 2024-02-24908Marlies-Eagles-
141 - 2024-02-27931Silver Knights-Marlies-
143 - 2024-02-29946Roadrunners-Marlies-
145 - 2024-03-02964Wolf Pack-Marlies-
147 - 2024-03-04978Bruins-Marlies-
149 - 2024-03-06990Americans-Marlies-
150 - 2024-03-07993Marlies-Bruins-
Trade Deadline --- Trades cannot be done after this date
152 - 2024-03-091015Marlies-Rocket-
157 - 2024-03-141050Marlies-Phantoms-
159 - 2024-03-161067Wolves-Marlies-
162 - 2024-03-191086Marlies-Phantoms-
163 - 2024-03-201095Marlies-Bears-
166 - 2024-03-231118Condors-Marlies-
167 - 2024-03-241127Marlies-Wolves-
169 - 2024-03-261139Comets-Marlies-
171 - 2024-03-281155Bears-Marlies-
173 - 2024-03-301171Marlies-Americans-
175 - 2024-04-011185Checkers-Marlies-
177 - 2024-04-031197Crunch-Marlies-
180 - 2024-04-061223Marlies-Rocket-
182 - 2024-04-081237Penguins-Marlies-
183 - 2024-04-091243Marlies-Comets-
185 - 2024-04-111260Comets-Marlies-
187 - 2024-04-131277Griffins-Marlies-
190 - 2024-04-161297Marlies-Checkers-
191 - 2024-04-171304Marlies-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity35001500
Ticket Price5025
Attendance31,50013,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 5000 - 100.00% 108,375$975,375$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
5,399,408$ 21,156,832$ 21,156,832$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
110,192$ 5,399,408$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,468,000$ 143 110,192$ 15,757,456$




Marlies

# 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
1Karson Kuhlman14711013024036623511751521.36%59272918.5714233755112712446.46%81.7624
2Marc Michaelis15684115199-392014920446717.99%76257316.49713202200015051.21%51.5501
3Kale Clague13581100181211422415342918.88%174345325.58111728561457820.00%31.0501
4Alex Belzile6559122181-402821287721227.83%32144722.26715221733673157.61%02.5000
5John Hayden1006391154-41611089525624.61%29150015.01616223401130151.58%62.0500

Marlies

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dustin Wolf1759467100.8434.7298334577449412711920.71421
2Jake Kielly245300.51712.9185500184381154000.0000
3Emil Larmi140400.22720.583470011915429000.0000

Marlies

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
Regular Season
202182285002200596821-22541162301100300360-6041122701100296461-165625969931589010274181139230607737367881991749198712692046531.86%2259458.22%13614120950.79%49896751.50%1057205251.51%1970136317545671201610
202282491707522297196101412580521015491634124902312143105381232975328291411794771329671102102082338278196732217731533925.49%1602783.13%3806147754.57%834157752.89%534102152.30%1804114318356691321654
20231987011206964595300010332671034011103638-22369107176102722174692239214223227062636735326934.62%26773.08%117435149.57%18738248.95%12527245.96%377226458157319157
Total Regular Season18385740108429621081-119914634063204874771092394004522475604-12920896216322594251443902751565965134120071782848547819792376339538311329.50%41112868.86%171594303752.49%1519292651.91%1716334551.30%415227334049139328421423
Playoff
2022148600000413567430000021174743000002018216417211300161311148216316714845091963629329724.14%18288.89%114628451.41%11924548.57%8016548.48%296185321113228114
Total Playoff148600000413567430000021174743000002018216417211300161311148216316714845091963629329724.14%18288.89%114628451.41%11924548.57%8016548.48%296185321113228114

Marlies

# 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
1Marc Michaelis14411151141531468.70%1228420.31000000001257.45%01.0600
2Ryan MacInnis1467139023275211.54%921415.29000000002055.10%01.2100
3Logan Hutsko144711-10418293810.53%1632523.27134500000151.74%00.6800
4Oskar Back1411011102023392.56%1129320.99112600010044.56%00.7500
5Patrick Giles1435810015102412.50%520814.89000000000020.00%00.7700

Marlies

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dustin Wolf148510.9312.498442035509317000.0000