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Marlies
GP: 36 | W: 17 | L: 14 | OTL: 5 | P: 39
GF: 127 | GA: 130 | PP%: 17.14% | PK%: 84.92%
DG: Alain Ricard | Morale : 47 | Moyenne d’équipe : 63
Prochains matchs #567 vs Canucks
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Centre de jeu
Wolves
12-15-5, 29pts
2
FINAL
6 Marlies
17-14-5, 39pts
Team Stats
W1SéquenceL1
7-8-3Fiche domicile9-5-3
5-7-2Fiche domicile8-9-2
5-4-1Derniers 10 matchs6-4-0
2.69Buts par match 3.53
3.28Buts contre par match 3.61
16.67%Pourcentage en avantage numérique17.14%
80.65%Pourcentage en désavantage numérique84.92%
Marlies
17-14-5, 39pts
3
FINAL
7 Wranglers
20-12-3, 43pts
Team Stats
L1SéquenceW1
9-5-3Fiche domicile11-6-1
8-9-2Fiche domicile9-6-2
6-4-0Derniers 10 matchs6-4-0
3.53Buts par match 3.40
3.61Buts contre par match 3.09
17.14%Pourcentage en avantage numérique13.27%
84.92%Pourcentage en désavantage numérique80.39%
Canucks
16-17-2, 34pts
2024-11-21
Marlies
17-14-5, 39pts
Statistiques d’équipe
SOW1SéquenceL1
9-8-1Fiche domicile9-5-3
7-9-1Fiche visiteur8-9-2
4-4-210 derniers matchs6-4-0
2.97Buts par match 3.53
3.31Buts contre par match 3.53
21.88%Pourcentage en avantage numérique17.14%
80.00%Pourcentage en désavantage numérique84.92%
Marlies
17-14-5, 39pts
2024-11-23
PenguinsF
16-18-2, 34pts
Statistiques d’équipe
L1SéquenceW1
9-5-3Fiche domicile8-9-1
8-9-2Fiche visiteur8-9-1
6-4-010 derniers matchs4-5-1
3.53Buts par match 3.50
3.61Buts contre par match 3.50
17.14%Pourcentage en avantage numérique25.45%
84.92%Pourcentage en désavantage numérique76.99%
SenatorsF
20-13-1, 41pts
2024-11-25
Marlies
17-14-5, 39pts
Statistiques d’équipe
W3SéquenceL1
14-3-1Fiche domicile9-5-3
6-10-0Fiche visiteur8-9-2
4-6-010 derniers matchs6-4-0
3.79Buts par match 3.53
3.35Buts contre par match 3.53
21.82%Pourcentage en avantage numérique17.14%
72.00%Pourcentage en désavantage numérique84.92%
Meneurs d'équipe
Buts
Joseph Cramarossa
16
Passes
Karson Kuhlman
20
Points
Karson Kuhlman
34
Plus/Moins
Tanner Richard
9
Victoires
Michael Houser
9
Pourcentage d’arrêts
Michael Houser
0.899

Statistiques d’équipe
Buts pour
127
3.53 GFG
Tirs pour
1085
30.14 Avg
Pourcentage en avantage numérique
17.1%
18 GF
Début de zone offensive
39.6%
Buts contre
130
3.61 GAA
Tirs contre
1072
29.78 Avg
Pourcentage en désavantage numérique
84.9%%
19 GA
Début de la zone défensive
40.3%
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
Assistance2,857
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure19
Limite contact 52 / 56
Espoirs26


Historique d'équipe

Saison actuelle17-14-5 (39PTS)
Historique62-46-10 (0.525%)
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 KuhlmanXX100.0070498472677987736975717467695756466702922,000,000$
2Janne KuokkanenXX100.0062469175738091726574726966635566566702632,500,000$
3Givani SmithXX100.0077546677757380766475687462555066426602611,500,000$
4Joseph CramarossaXX100.0075687470717280737168777275564950636603211,400,000$
5Peyton Krebs (R)X100.006950807768749072727266706065457046650233900,000$
6Sondre OldenXX100.0069448775697481677170646667685346566503211,200,000$
7Jan Jenik (R)XX100.007655707269757572607070726648457057640243750,000$
8Tanner RichardXX100.007157746971656664686861736072604556630311900,000$
9Kyle Topping (R)X100.007250757268707067706767676145457056620253750,000$
10Kevin HancockXXX100.006145917268667466696664696252486040620261750,000$
11Marcus Kallionkeli (R)XX100.006950757271707066606565665845457032610233750,000$
12Philippe CornetX100.0061459770716865666362636662454538496003421,000,000$
13Vladislav GavrikovX100.0065498972737788724575697460685258556702812,000,000$
14William LagessonX100.0064478468717471754573737360605154566602811,300,000$
15Emil Lilleberg (R)X100.007545867271767771457162776245457032650231900,000$
16Nikita CherepanovX100.0063458572737272694564687160595054206402921,200,000$
17David Farrance (R)X100.006545857268757573456965745845457051640253750,000$
18Kristians RubinsX100.007244897275707166456366725451475756640271750,000$
Rayé
1Adam HelewkaXX98.197046757271677567626668736058505633630291800,000$
2Evan Barratt (R)X98.236850807268707066726866676045456043620253750,000$
3Maxime FortierXX100.005958877567656565676261676248476420600263700,000$
4Alan LyszczarczykXX100.006648857269666662685859636245455820590261750,000$
5Dmitri YudinX100.0066458472697370714568617554585154206402921,200,000$
6Thomas LarkinX100.0070658469767072714568687264484642386403321,250,000$
7Danila Galenyuk (R)X100.006550807271707067456766706045457020620243750,000$
8David Kvasnicka (R)X100.006545857267707069456660715445456020620253750,000$
9Layton Ahac (R)X100.006845857271707068456258755245457020620233750,000$
10Will WeberX100.006144877175676568456262685946453420610362950,000$
11Zakhar ArzamastsevX100.005643946975666168456163685946455020610321850,000$
12Marc McNultyX100.0065458670756659654561556657454556206002911,000,000$
MOYENNE D’ÉQUIPE99.87674983727171736957676570615348583963
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 Houser100.007774737676828585868577485550446503221,950,000$
2Sami Aittokallio100.007778777777758180797878475150146303211,400,000$
Rayé
1Maksim Zhukov100.00777968807773737575747548486635600251750,000$
MOYENNE D’ÉQUIPE100.0077777378777780808079774851553163
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/RW3614203451003442118348911.86%365618.251561389000072153.06%4900011.0412000213
2Peyton KrebsMarlies (Tor)C361120315120384790256212.22%165318.150441688000022153.81%84000000.9500000021
3Joseph CramarossaMarlies (Tor)LW/RW36161531139156535126388912.70%665518.213472387000082152.31%6500000.9502201322
4Janne KuokkanenMarlies (Tor)LW/RW36131427-2201525116246611.21%667118.6423513870000111246.77%6200000.8001000103
5William LagessonMarlies (Tor)D36917262240402449122718.37%3673420.394372088000059010%000000.7100000023
6Jan JenikMarlies (Tor)LW/RW3615924-93157538103426214.56%461817.192241682000082046.00%5000010.7800001212
7Luke HughesMarlies (Tor)D3641923-1018035214412389.09%3872620.181452488000018000%000000.6300000030
8Givani SmithMarlies (Tor)LW/RW2510818260352265214315.38%632813.1600024000082042.86%2100011.0900000201
9David FarranceMarlies (Tor)D3411617322032272313244.35%3565219.2000007000090010%000000.5200000020
10Evan BarrattMarlies (Tor)C2841216-26026515713427.02%250518.051231265000071049.92%65100000.6300000010
11Kyle ToppingMarlies (Tor)C3651015-6120424949103510.20%555015.29000040001870048.48%72400000.5400000010
12Kristians RubinsMarlies (Tor)D3641115834045163082113.33%3973120.330221085101178100%000000.4100000000
13Thomas LarkinMarlies (Tor)D195813314026142212222.73%2141221.72213545011057000%000000.6300000100
14Vladislav GavrikovMarlies (Tor)D3511213218038322116234.76%3967219.2200013000092000%000000.3900000101
15Sondre OldenMarlies (Tor)LW/RW363710-82015204010407.50%342311.7600006000020042.86%2800000.4723000000
16Tanner RichardMarlies (Tor)LW/RW36459960241632111812.50%536110.04000190112962146.00%5000100.5000000100
17Emil LillebergMarlies (Tor)D19189-121403713236134.35%2640121.161231141000038000%000000.4500000010
18Adam HelewkaMarlies (Tor)LW/RW233476801182791111.11%62069.00000110001580029.41%1700000.6800000101
19Kevin HancockMarlies (Tor)C/LW/RW26156-7004202710273.70%528110.811014130001190050.97%20600000.4300000000
20Philippe CornetMarlies (Tor)C28224200328156913.33%22609.30000000000781045.48%34300000.3100000000
21Marcus KallionkeliMarlies (Tor)LW/RW14000-3001328080%11248.86000000000350041.18%170000000000000
22Dmitri YudinMarlies (Tor)D1000100110020%11414.170000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne648126222348-1027820654551108532177111.61%2901064416.43183250172900123686816849.86%312300130.6538202141617
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)259420.8993.05104321535250100.60051125210
2Sami AittokallioMarlies (Tor)2781030.8633.95114001755470000.66732511202
Statistiques d’équipe totales ou en moyenne52171450.8813.52218322128107201083636412


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 HelewkaMarlies (Tor)LW/RW291995-07-21No205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------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/RW321992-10-26No190 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)C251999-11-18Yes185 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-------
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)D291995-11-19No220 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)D361988-10-28No227 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)D321992-11-06No220 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3327.79199 Lbs6 ft11.881,087,879$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph CramarossaKyle ToppingKarson Kuhlman34023
2Janne KuokkanenPeyton KrebsJan Jenik34023
3Sondre OldenKevin HancockGivani Smith22023
4Marcus KallionkeliPhilippe CornetTanner Richard10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita CherepanovEmil Lilleberg34041
2William LagessonVladislav Gavrikov33050
3Kristians RubinsDavid Farrance33050
4Nikita CherepanovEmil Lilleberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph CramarossaPeyton KrebsKarson Kuhlman50005
2Jan JenikKevin HancockJanne Kuokkanen50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita CherepanovEmil Lilleberg50023
2William LagessonKristians Rubins50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle ToppingTanner Richard50050
2Philippe CornetMarcus Kallionkeli50041
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
2Philippe Cornet50050Kristians RubinsEmil Lilleberg50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Peyton KrebsJanne Kuokkanen50023
2Kevin HancockJoseph Cramarossa50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita CherepanovEmil Lilleberg50050
2William LagessonVladislav Gavrikov50050
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph CramarossaPeyton KrebsKarson KuhlmanNikita CherepanovEmil Lilleberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner RichardPhilippe CornetJanne KuokkanenVladislav GavrikovWilliam Lagesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Janne Kuokkanen, Jan Jenik, Marcus KallionkeliSondre Olden, Jan JenikMarcus Kallionkeli
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, #3 : 0


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
1Americans20100010810-21010000025-31000001065120.500812200044483165732637236827742318405360.00%8362.50%0586122247.95%641124451.53%33061853.40%861584851275473234
2Barracuda1010000015-4000000000001010000015-400.00012300444831623326372368273961528200.00%5260.00%0586122247.95%641124451.53%33061853.40%861584851275473234
3Bears21000001954210000019540000000000030.750914230044483165832637236827548103710220.00%50100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
4BruinsF31100100151231000010045-121100000117430.500152439004448316106326372368279524144410220.00%7271.43%0586122247.95%641124451.53%33061853.40%861584851275473234
5Checkers11000000541110000005410000000000021.00057120044483163632637236827389614200.00%3166.67%0586122247.95%641124451.53%33061853.40%861584851275473234
6Comets22000000945110000003031100000064241.000918270144483166432637236827561810276233.33%5260.00%0586122247.95%641124451.53%33061853.40%861584851275473234
7Crunch11000000312110000003120000000000021.0003690044483162832637236827311212212150.00%60100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
8Firebirds320010001147110000002022100100094561.0001119300144483168132637236827893029584125.00%12191.67%0586122247.95%641124451.53%33061853.40%861584851275473234
9Griffins1000010023-1000000000001000010023-110.5002350044483163432637236827206216200.00%10100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
10Icehogs20100001510-51000000156-11010000004-410.25051015004448316693263723682772202141800.00%8275.00%0586122247.95%641124451.53%33061853.40%861584851275473234
11Islanders10001000541000000000001000100054121.0005712004448316363263723682732101420500.00%6266.67%0586122247.95%641124451.53%33061853.40%861584851275473234
12Moose412010001113-2211000006602010100057-240.5001118290044483161113263723682713140368110110.00%170100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
13PenguinsF1000010023-1000000000001000010023-110.5002460044483162732637236827247819200.00%40100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
14Phantoms4220000014131211000005502110000098140.500142741004448316117326372368279423286712216.67%14192.86%0586122247.95%641124451.53%33061853.40%861584851275473234
15Reign11000000312110000003120000000000021.0003690044483163432637236827292621500.00%30100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
16Rocket20200000613-720200000613-70000000000000.000611170044483164932637236827541620276116.67%10190.00%1586122247.95%641124451.53%33061853.40%861584851275473234
17SenatorsF20200000711-40000000000020200000711-400.000714210044483164832637236827531317387228.57%60100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
18Wolf Pack1010000025-3000000000001010000025-300.00024600444831640326372368273112624200.00%220.00%0586122247.95%641124451.53%33061853.40%861584851275473234
19Wolves11000000624110000006240000000000021.0006111700444831642326372368271432213133.33%10100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
20Wranglers1010000037-4000000000001010000037-400.0003580044483162532637236827428610200.00%30100.00%0586122247.95%641124451.53%33061853.40%861584851275473234
Total36131403312127130-3179500102595361949032106877-9390.54212722234902444831610853263723682710722902806541051817.14%1261984.92%1586122247.95%641124451.53%33061853.40%861584851275473234
_Since Last GM Reset36131403312127130-3179500102595361949032106877-9390.54212722234902444831610853263723682710722902806541051817.14%1261984.92%1586122247.95%641124451.53%33061853.40%861584851275473234
_Vs Conference3012110321111310491585001015146515460311062584350.58311319630902444831690032637236827870248230538861820.93%1061585.85%1586122247.95%641124451.53%33061853.40%861584851275473234
_Vs Division12160011047361160300100231211613000102424050.208478513201444831638432637236827305817821540717.50%37781.08%0586122247.95%641124451.53%33061853.40%861584851275473234

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3639L11272223491085107229028065402
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3613143312127130
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
179501025953
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
194932106877
Derniers 10 matchs
WLOTWOTL SOWSOL
442000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1051817.14%1261984.92%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
326372368274448316
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
586122247.95%641124451.53%33061853.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
861584851275473234


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 - 2024-10-23365Marlies1Barracuda5ALSommaire du match
53 - 2024-10-25378Phantoms2Marlies0BLSommaire du match
55 - 2024-10-27390Marlies2Griffins3ALXSommaire du match
57 - 2024-10-29409Reign1Marlies3BWSommaire du match
61 - 2024-11-02435Checkers4Marlies5BWSommaire du match
64 - 2024-11-05452Marlies5Islanders4AWXSommaire du match
66 - 2024-11-07467Marlies3BruinsF4ALSommaire du match
67 - 2024-11-08475Firebirds0Marlies2BWSommaire du match
70 - 2024-11-11495Rocket6Marlies2BLSommaire du match
72 - 2024-11-13510Marlies4Moose3AWXSommaire du match
74 - 2024-11-15522Marlies2SenatorsF5ALSommaire du match
76 - 2024-11-17535Wolves2Marlies6BWSommaire du match
78 - 2024-11-19553Marlies3Wranglers7ALSommaire du match
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
Assistance32,29816,263
Assistance PCT94.99%95.66%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2857 - 95.22% 106,306$1,807,198$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,584,398$ 3,680,000$ 3,680,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,541,696$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,551,338$ 106 20,432$ 2,165,792$




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 Kuhlman1174575120255510712236412.36%23208217.801218306700017457.58%11.1516
2Joseph Cramarossa11852621143010522010935014.86%21213818.131018285301128453.97%01.0728
3Jackson Cates813247792882014521614.81%16154719.10813214000025154.22%01.0200
4William Lagesson961854723461007913013.85%124199920.83101727590001210%00.7200
5Givani Smith9931336465317110026011.92%24155915.7647113300024141.94%10.8200

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 Aittokallio85342840.8733.5638574322918090110.7147
2Michael Houser59241240.9082.7727254212613680320.78323
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
1636131403312127130-3179500102595361949032106877-93912722234902444831610853263723682710722902806541051817.14%1261984.92%1586122247.95%641124451.53%33061853.40%861584851275473234
Total Saison régulière11852460555541539619582919023142111842760232703241204212-8134415737115235157133115143550114712211144703427102388319793467922.83%3738078.55%32053396451.79%1985393150.50%1069205352.07%2829194127698791554776
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