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Marlies
GP: 23 | W: 11 | L: 8 | OTL: 4 | P: 26
GF: 89 | GA: 84 | PP%: 23.19% | PK%: 86.21%
DG: Alain Ricard | Morale : 48 | Moyenne d’équipe : 63
Prochains matchs #365 vs Barracuda
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Centre de jeu
Marlies
11-8-4, 26pts
2
FINAL
5 Wolf Pack
11-9-2, 24pts
Team Stats
L2SéquenceW2
5-3-3Fiche domicile7-3-1
6-5-1Fiche domicile4-6-1
1-7-2Derniers 10 matchs5-4-1
3.87Buts par match 3.18
3.65Buts contre par match 3.36
23.19%Pourcentage en avantage numérique20.31%
86.21%Pourcentage en désavantage numérique81.54%
Americans
11-9-2, 24pts
5
FINAL
2 Marlies
11-8-4, 26pts
Team Stats
W3SéquenceL2
8-2-1Fiche domicile5-3-3
3-7-1Fiche domicile6-5-1
5-4-1Derniers 10 matchs1-7-2
3.82Buts par match 3.87
3.64Buts contre par match 3.65
20.63%Pourcentage en avantage numérique23.19%
68.66%Pourcentage en désavantage numérique86.21%
Marlies
11-8-4, 26pts
2024-10-23
Barracuda
7-11-3, 17pts
Statistiques d’équipe
L2SéquenceSOL1
5-3-3Fiche domicile4-6-1
6-5-1Fiche visiteur3-5-2
1-7-210 derniers matchs3-5-2
3.87Buts par match 2.86
3.65Buts contre par match 2.86
23.19%Pourcentage en avantage numérique21.15%
86.21%Pourcentage en désavantage numérique70.83%
Phantoms
9-11-2, 20pts
2024-10-25
Marlies
11-8-4, 26pts
Statistiques d’équipe
W2SéquenceL2
6-5-0Fiche domicile5-3-3
3-6-2Fiche visiteur6-5-1
6-4-010 derniers matchs1-7-2
3.32Buts par match 3.87
4.00Buts contre par match 3.87
18.52%Pourcentage en avantage numérique23.19%
83.61%Pourcentage en désavantage numérique86.21%
Marlies
11-8-4, 26pts
2024-10-27
Griffins
15-3-3, 33pts
Statistiques d’équipe
L2SéquenceSOW1
5-3-3Fiche domicile7-2-2
6-5-1Fiche visiteur8-1-1
1-7-210 derniers matchs7-1-2
3.87Buts par match 3.38
3.65Buts contre par match 3.38
23.19%Pourcentage en avantage numérique20.55%
86.21%Pourcentage en désavantage numérique77.97%
Meneurs d'équipe
Buts
Janne Kuokkanen
11
Passes
Luke Hughes
18
Points
Karson Kuhlman
26
Plus/Moins
Tanner Richard
11
Victoires
Michael Houser
8
Pourcentage d’arrêts
Michael Houser
0.904

Statistiques d’équipe
Buts pour
89
3.87 GFG
Tirs pour
709
30.83 Avg
Pourcentage en avantage numérique
23.2%
16 GF
Début de zone offensive
40.2%
Buts contre
84
3.65 GAA
Tirs contre
678
29.48 Avg
Pourcentage en désavantage numérique
86.2%%
12 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralAlain Ricard
EntraîneurBob Gainey
DivisionDivision Nord-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,833
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite contact 52 / 56
Espoirs26


Historique d'équipe

Saison actuelle11-8-4 (26PTS)
Historique56-40-8 (0.538%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Karson KuhlmanXX100.0070498472677987736975717467695756446702922,000,000$
2Janne KuokkanenXX99.0062469175738091726574726966635566546702632,500,000$
3Givani SmithXX100.0077546677757380766475687462555066396602611,500,000$
4Joseph CramarossaXX100.0075687470717280737168777275564950546603111,400,000$
5Peyton Krebs (R)X100.006950807768749072727266706065457043650233900,000$
6Sondre OldenXX100.0069448775697481677170646667685346546503211,200,000$
7Jan Jenik (R)XX100.007655707269757572607070726648457055640243750,000$
8Tanner RichardXX100.007157746971656664686861736072604554630311900,000$
9Evan Barratt (R)X99.006850807268707066726866676045456053620253750,000$
10Kyle Topping (R)X100.007250757268707067706767676145457054620243750,000$
11Kevin HancockXXX100.006145917268667466696664696252486037620261750,000$
12Luke Hughes (R)X100.006445887069869071457870716455608054670213900,000$
13Vladislav GavrikovX100.0065498972737788724575697460685258526702812,000,000$
14William LagessonX100.0064478468717471754573737360605154546602811,300,000$
15Emil Lilleberg (R)X100.007545867271767771457162776245457030650231900,000$
16David Farrance (R)X100.006545857268757573456965745845457051640253750,000$
17Kristians RubinsX100.007244897275707166456366725451475754640271750,000$
Rayé
1Adam HelewkaXX68.197046757271677567626668736058505633630291800,000$
2Marcus Kallionkeli (R)XX100.006950757271707066606565665845457029610233750,000$
3Philippe CornetX100.0061459770716865666362636662454538516003421,000,000$
4Maxime FortierXX100.005958877567656565676261676248476427600263700,000$
5Alan LyszczarczykXX100.006648857269666662685859636245455827590261750,000$
6Nikita CherepanovX100.0063458572737272694564687160595054276402821,200,000$
7Dmitri YudinX100.0066458472697370714568617554585154276402921,200,000$
8Thomas LarkinX100.0070658469767072714568687264484642516403321,250,000$
9Danila Galenyuk (R)X100.006550807271707067456766706045457027620243750,000$
10David Kvasnicka (R)X100.006545857267707069456660715445456027620253750,000$
11Layton Ahac (R)X100.006845857271707068456258755245457027620233750,000$
12Will WeberX100.006144877175676568456262685946453427610352950,000$
13Zakhar ArzamastsevX100.005643946975666168456163685946455027610311850,000$
14Marc McNultyX100.0065458670756659654561556657454556276002911,000,000$
MOYENNE D’ÉQUIPE98.90674983727171746956686570615348594163
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Michael Houser100.007774737676828585868577485550436503221,950,000$
2Sami Aittokallio100.007778777777758180797878475150176303211,400,000$
Rayé
1Maksim Zhukov100.00777968807773737575747548486641600251750,000$
MOYENNE D’ÉQUIPE100.0077777378777780808079774851553463
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Gainey68748782999914CAN704100,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
1Karson KuhlmanMarlies (Tor)LW/RW2391726460242474226112.16%341317.98145856000071148.28%2900011.2612000202
2Peyton KrebsMarlies (Tor)C2381422240213257204514.04%140517.620441155000001155.27%50300001.0900000021
3Luke HughesMarlies (Tor)D23318211160271629123110.34%2945919.971451854000013000%000000.9100000030
4Janne KuokkanenMarlies (Tor)LW/RW23111021-120101677164914.29%542718.5823510560000110247.37%3800000.9801000101
5William LagessonMarlies (Tor)D2371219112024163261421.88%2247220.553361157000042000%000000.8000000013
6Joseph CramarossaMarlies (Tor)LW/RW2310919-2140412186265611.63%341718.143361355000081155.10%4900000.9102000111
7Jan JenikMarlies (Tor)LW/RW2311617-8275441859264018.64%337916.502131150000061046.88%3200010.9000001111
8Evan BarrattMarlies (Tor)C2341115-24021434813338.33%241718.141231152000051050.38%52000000.7200000010
9Thomas LarkinMarlies (Tor)D195813314026142212222.73%2141221.72213545011057000%000000.6300000100
10Vladislav GavrikovMarlies (Tor)D2201010116025181311180%2742619.3900013000059000%000000.4700000101
11David FarranceMarlies (Tor)D22189-21401815206165.00%2442319.2700005000062010%000000.4200000010
12Givani SmithMarlies (Tor)LW/RW12549520201242122611.90%418215.1900024000082038.89%1800000.9900000101
13Kristians RubinsMarlies (Tor)D2327902603061621612.50%2646620.27022653101152100%000000.3900000000
14Tanner RichardMarlies (Tor)LW/RW23358114015102281013.64%223010.03000030111661147.37%1900100.6900000100
15Adam HelewkaMarlies (Tor)LW/RW233476801182791111.11%62069.00000110001580029.41%1700000.6800000101
16Kyle ToppingMarlies (Tor)C23336-6602629347238.82%433114.40000040001580047.80%45400000.3600000010
17Sondre OldenMarlies (Tor)LW/RW23145-5201115248304.17%227011.7500002000000040.91%2200000.3723000000
18Kevin HancockMarlies (Tor)C/LW/RW13044-40028127110%413910.7700000000030044.83%2900000.5700000000
19Emil LillebergMarlies (Tor)D61230407762516.67%611719.5111238000010000%000000.5100000000
20Philippe CornetMarlies (Tor)C2012350032295711.11%21969.80000000000601045.85%25300000.3100000000
Statistiques d’équipe totales ou en moyenne413881582469181540635070921952412.41%196679516.45162844111573123459410749.92%198300120.7238001101112
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Michael HouserMarlies (Tor)208320.9042.9288521434460100.60051112210
2Sami AittokallioMarlies (Tor)143520.8324.5851100392320000.66731211002
Statistiques d’équipe totales ou en moyenne3411840.8793.521397218267801082323212


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam Helewka (sur la masse salariale)Marlies (Tor)LW/RW291995-07-21No205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$Yes------------------Lien
Alan LyszczarczykMarlies (Tor)LW/RW261998-02-17No204 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Danila GalenyukMarlies (Tor)D242000-02-11Yes207 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
David FarranceMarlies (Tor)D251999-06-23Yes189 Lbs5 ft11NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
David KvasnickaMarlies (Tor)D251999-04-14Yes181 Lbs5 ft10NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Dmitri YudinMarlies (Tor)D291995-07-31No198 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Emil LillebergMarlies (Tor)D232001-02-02Yes202 Lbs6 ft2NoNoFree AgentNoNo12024-06-18Pro & Farm900,000$0$0$No------------------Lien
Evan BarrattMarlies (Tor)C251999-02-18Yes188 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Givani SmithMarlies (Tor)LW/RW261998-02-28No210 Lbs6 ft2NoNoN/ANoNo12024-04-29Pro & Farm1,500,000$0$0$No------------------Lien
Jan JenikMarlies (Tor)LW/RW242000-09-15Yes185 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Janne KuokkanenMarlies (Tor)LW/RW261998-05-25No193 Lbs6 ft1NoNoN/ANoNo32024-04-29Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------Lien
Joseph CramarossaMarlies (Tor)LW/RW311992-10-26No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,400,000$0$0$No------------------Lien
Karson KuhlmanMarlies (Tor)LW/RW291995-09-26No185 Lbs6 ft0NoNoN/ANoNo22024-04-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Kevin HancockMarlies (Tor)C/LW/RW261998-03-02No181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Kristians RubinsMarlies (Tor)D271997-01-11No227 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Kyle ToppingMarlies (Tor)C241999-11-18Yes185 Lbs5 ft11NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Layton AhacMarlies (Tor)D232001-02-22Yes205 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Luke HughesMarlies (Tor)D212003-09-09Yes184 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-06-07Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Maksim ZhukovMarlies (Tor)G251999-07-22No190 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Marc McNultyMarlies (Tor)D291995-04-05No210 Lbs6 ft6NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Marcus KallionkeliMarlies (Tor)LW/RW232001-03-20Yes201 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Maxime FortierMarlies (Tor)LW/RW261997-12-15No183 Lbs5 ft10NoNoN/ANoNo32024-04-29Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------Lien
Michael HouserMarlies (Tor)G321992-09-13No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,950,000$0$0$No1,950,000$--------No--------Lien
Nikita CherepanovMarlies (Tor)D281995-11-19No220 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Peyton KrebsMarlies (Tor)C232001-01-26Yes186 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-06-07Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Philippe CornetMarlies (Tor)C341990-03-28No198 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Sami AittokallioMarlies (Tor)G321992-08-06No189 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,400,000$0$0$No------------------Lien
Sondre OldenMarlies (Tor)LW/RW321992-08-29No172 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Tanner RichardMarlies (Tor)LW/RW311993-04-06No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Thomas LarkinMarlies (Tor)D331990-12-31No227 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Vladislav GavrikovMarlies (Tor)D281995-11-21No213 Lbs6 ft3NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
Will WeberMarlies (Tor)D351988-10-28No227 Lbs6 ft3NoNoN/ANoNo2Pro & Farm950,000$0$0$No950,000$--------No--------Lien
William LagessonMarlies (Tor)D281996-02-22No207 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Zakhar ArzamastsevMarlies (Tor)D311992-11-06No220 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3427.44198 Lbs6 ft11.911,082,353$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph CramarossaPeyton KrebsKarson Kuhlman34023
2Janne KuokkanenEvan BarrattJan Jenik34023
3Sondre OldenKyle ToppingGivani Smith22023
4Kevin HancockTanner Richard10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesEmil Lilleberg34041
2William LagessonVladislav Gavrikov33050
3Kristians RubinsDavid Farrance33050
4Luke HughesEmil Lilleberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph CramarossaPeyton KrebsKarson Kuhlman50005
2Jan JenikEvan BarrattJanne Kuokkanen50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesEmil Lilleberg50023
2William LagessonKristians Rubins50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle ToppingTanner Richard50050
2Kevin Hancock50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David FarranceVladislav Gavrikov50050
2Kristians RubinsEmil Lilleberg50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kyle Topping50050David FarranceVladislav Gavrikov50050
2Kevin Hancock50050Kristians RubinsEmil Lilleberg50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Peyton KrebsJanne Kuokkanen50023
2Evan BarrattJoseph Cramarossa50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesEmil Lilleberg50050
2William LagessonVladislav Gavrikov50050
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph CramarossaPeyton KrebsKarson KuhlmanLuke HughesEmil Lilleberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner RichardEvan BarrattJanne KuokkanenVladislav GavrikovWilliam Lagesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Janne Kuokkanen, Jan Jenik, Sondre Olden, Jan Jenik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kristians Rubins, David Farrance, William LagessonKristians RubinsDavid Farrance, William Lagesson
Tirs de pénalité
Sondre Olden, Karson Kuhlman, Joseph Cramarossa, Janne Kuokkanen, Jan Jenik
Gardien
#1 : Sami Aittokallio, #2 : Michael Houser


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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
1Americans20100010810-21010000025-31000001065120.500812200029362245720525323722742318405360.00%8362.50%038078548.41%40178251.28%20938754.01%557380542175299147
2Bears21000001954210000019540000000000030.750914230029362245820525323722548103710220.00%50100.00%038078548.41%40178251.28%20938754.01%557380542175299147
3BruinsF2100010012841000010045-11100000083530.7501221330029362247920525323722611310358225.00%5180.00%038078548.41%40178251.28%20938754.01%557380542175299147
4Comets22000000945110000003031100000064241.000918270129362246420525323722561810276233.33%5260.00%038078548.41%40178251.28%20938754.01%557380542175299147
5Crunch11000000312110000003120000000000021.0003690029362242820525323722311212212150.00%60100.00%038078548.41%40178251.28%20938754.01%557380542175299147
6Firebirds21001000945000000000002100100094541.000915240029362245520525323722612420383133.33%10190.00%038078548.41%40178251.28%20938754.01%557380542175299147
7Icehogs20100001510-51000000156-11010000004-410.25051015002936224692052532372272202141800.00%8275.00%038078548.41%40178251.28%20938754.01%557380542175299147
8Moose31200000710-3211000006601010000014-320.333710170029362248820525323722943028549111.11%140100.00%038078548.41%40178251.28%20938754.01%557380542175299147
9PenguinsF1000010023-1000000000001000010023-110.5002460029362242720525323722247819200.00%40100.00%038078548.41%40178251.28%20938754.01%557380542175299147
10Phantoms3210000014113110000005322110000098140.6671427410029362248920525323722641422428225.00%11190.91%038078548.41%40178251.28%20938754.01%557380542175299147
11Rocket1010000047-31010000047-30000000000000.0004711002936224292052532372230812113133.33%60100.00%138078548.41%40178251.28%20938754.01%557380542175299147
12SenatorsF1010000056-1000000000001010000056-100.0005101500293622426205253237222676173133.33%30100.00%038078548.41%40178251.28%20938754.01%557380542175299147
13Wolf Pack1010000025-3000000000001010000025-300.00024600293622440205253237223112624200.00%220.00%038078548.41%40178251.28%20938754.01%557380542175299147
Total239801212898451153001024138312450111048462260.5658915824701293622470920525323722678196183406691623.19%871286.21%138078548.41%40178251.28%20938754.01%557380542175299147
_Since Last GM Reset239801212898451153001024138312450111048462260.5658915824701293622470920525323722678196183406691623.19%871286.21%138078548.41%40178251.28%20938754.01%557380542175299147
_Vs Conference2197012118474101053001013632411440111048426250.5958414823201293622464020525323722606176162365611626.23%791087.34%138078548.41%40178251.28%20938754.01%557380542175299147
_Vs Division9130011036288402001001789511000101920-150.278366710301293622427820525323722229595614928621.43%27581.48%038078548.41%40178251.28%20938754.01%557380542175299147

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2326L28915824770967819618340601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
239812128984
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115301024138
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
124511104846
Derniers 10 matchs
WLOTWOTL SOWSOL
170002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
691623.19%871286.21%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
205253237222936224
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
38078548.41%40178251.28%20938754.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
557380542175299147


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2024-09-049Comets0Marlies3BWSommaire du match
5 - 2024-09-0732Marlies2PenguinsF3ALXSommaire du match
7 - 2024-09-0950Moose1Marlies2BWSommaire du match
9 - 2024-09-1164Marlies2Firebirds1AWXSommaire du match
11 - 2024-09-1371Phantoms3Marlies5BWSommaire du match
13 - 2024-09-1589Marlies6Phantoms2AWSommaire du match
15 - 2024-09-17108BruinsF5Marlies4BLXSommaire du match
17 - 2024-09-19126Marlies6Americans5AWXXSommaire du match
19 - 2024-09-21140Marlies8BruinsF3AWSommaire du match
21 - 2024-09-23150Moose5Marlies4BLSommaire du match
23 - 2024-09-25167Marlies6Comets4AWSommaire du match
25 - 2024-09-27181Bears2Marlies7BWSommaire du match
27 - 2024-09-29198Marlies7Firebirds3AWSommaire du match
28 - 2024-09-30210Crunch1Marlies3BWSommaire du match
31 - 2024-10-03225Marlies1Moose4ALSommaire du match
33 - 2024-10-05239Marlies5SenatorsF6ALSommaire du match
36 - 2024-10-08251Rocket7Marlies4BLSommaire du match
38 - 2024-10-10272Marlies0Icehogs4ALSommaire du match
39 - 2024-10-11281Icehogs6Marlies5BLXXSommaire du match
42 - 2024-10-14302Marlies3Phantoms6ALSommaire du match
44 - 2024-10-16316Bears3Marlies2BLXXSommaire du match
47 - 2024-10-19337Marlies2Wolf Pack5ALSommaire du match
48 - 2024-10-20345Americans5Marlies2BLSommaire du match
51 - 2024-10-23365Marlies-Barracuda-
53 - 2024-10-25378Phantoms-Marlies-
55 - 2024-10-27390Marlies-Griffins-
57 - 2024-10-29409Reign-Marlies-
61 - 2024-11-02435Checkers-Marlies-
64 - 2024-11-05452Marlies-Islanders-
66 - 2024-11-07467Marlies-BruinsF-
67 - 2024-11-08475Firebirds-Marlies-
70 - 2024-11-11495Rocket-Marlies-
72 - 2024-11-13510Marlies-Moose-
74 - 2024-11-15522Marlies-SenatorsF-
76 - 2024-11-17535Wolves-Marlies-
78 - 2024-11-19553Marlies-Wranglers-
80 - 2024-11-21567Canucks-Marlies-
82 - 2024-11-23586Marlies-PenguinsF-
84 - 2024-11-25600SenatorsF-Marlies-
86 - 2024-11-27617Marlies-Comets-
88 - 2024-11-29631Comets-Marlies-
90 - 2024-12-01647Marlies-Thunderbirds-
92 - 2024-12-03664BruinsF-Marlies-
94 - 2024-12-05681Marlies-Eagles-
97 - 2024-12-08695Americans-Marlies-
99 - 2024-12-10716Marlies-PenguinsF-
101 - 2024-12-12725Marlies-Crunch-
102 - 2024-12-13734Gulls-Marlies-
105 - 2024-12-16758Silver Knights-Marlies-
107 - 2024-12-18765Marlies-Crunch-
109 - 2024-12-20782Marlies-Islanders-
111 - 2024-12-22796Monsters-Marlies-
114 - 2024-12-25819Marlies-Iowa Wild-
115 - 2024-12-26829Firebirds-Marlies-
117 - 2024-12-28845Marlies-Wolf Pack-
119 - 2024-12-30855Marlies-Condors-
120 - 2024-12-31863Wolves-Marlies-
124 - 2025-01-04892SenatorsF-Marlies-
126 - 2025-01-06910Marlies-Firebirds-
127 - 2025-01-07920Marlies-Americans-
129 - 2025-01-09930StarsF-Marlies-
131 - 2025-01-11951Marlies-Condors-
133 - 2025-01-13963Wolf Pack-Marlies-
137 - 2025-01-17988PenguinsF-Marlies-
139 - 2025-01-191012Moose-Marlies-
142 - 2025-01-221030Marlies-Wolves-
144 - 2025-01-241047Crunch-Marlies-
145 - 2025-01-251052Marlies-Rocket-
148 - 2025-01-281080Wolf Pack-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301092Marlies-Bears-
152 - 2025-02-011105Marlies-Rocket-
153 - 2025-02-021117Comets-Marlies-
157 - 2025-02-061136Marlies-Bears-
159 - 2025-02-081150Roadrunners-Marlies-
162 - 2025-02-111171Marlies-Checkers-
163 - 2025-02-121183PenguinsF-Marlies-
166 - 2025-02-151202Marlies-Checkers-
168 - 2025-02-171213Admirals-Marlies-
173 - 2025-02-221243Islanders-Marlies-
177 - 2025-02-261268Islanders-Marlies-
180 - 2025-03-011282Marlies-Wolves-
183 - 2025-03-041307Checkers-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance20,66810,491
Assistance PCT93.95%95.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2833 - 94.42% 105,303$1,158,332$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
988,745$ 3,600,000$ 3,600,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 962,269$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,159,087$ 136 20,000$ 2,720,000$




Marlies Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Kuhlman104407211224519710432012.50%23183917.691217296200016457.24%11.2216
2Joseph Cramarossa105465610227801969531014.84%18190018.101017274301127454.91%01.0728
3Jackson Cates813247792882014521614.81%16154719.10813214000025154.22%01.0200
4William Lagesson83164965234847111314.16%110173820.9491726500001200%00.7500
5Thomas Larkin10015445951011297710913.76%134209020.9051015350220110%00.5600

Marlies Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Sami Aittokallio72292330.8713.5932284219314940110.7147
2Michael Houser54231140.9102.7125674211612890320.78323
3Maksim Zhukov134620.8663.52562203324700000

Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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
Saison régulière
1582393202243288266224120140221215213121411918000311361351952885158033311385848246582184977643235573360313252416125.31%2476175.30%21467274253.50%1344268750.02%739143551.50%1968135719186041080541
16239801212898451153001024138312450111048462268915824701293622470920525323722678196183406691623.19%871286.21%138078548.41%40178251.28%20938754.01%557380542175299147
Total Saison régulière10548400345537735027522517023141931692453232301141184181312137767310503414212110612317410261102101365303392978617313107724.84%3347378.14%31847352752.37%1745346950.30%948182252.03%2525173724607791379689
Séries éliminatoires
15624000001519-43120000069-331200000910-141528430066301787249570177455712016318.75%23482.61%010720751.69%12021356.34%459845.92%14195140457837
Total Séries éliminatoires624000001519-43120000069-331200000910-141528430066301787249570177455712016318.75%23482.61%010720751.69%12021356.34%459845.92%14195140457837

Marlies Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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
1Sebastian Wannstrom644850481625.00%19215.38011200000075.00%01.7300
2Jordan Weal613430171010.00%39816.43000000000047.54%00.8100
3Givani Smith6134-213157175.88%310918.20112100000044.44%00.7300
4Karson Kuhlman5123-2054128.33%07615.21011300000042.86%00.7900
5Jackson Cates5123-22110119.09%39018.06101200011055.47%00.6600

Marlies Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Sami Aittokallio62300.8972.98302001514601000
2Michael Houser20100.8714.21570043100000