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Marlies
GP: 10 | W: 7 | L: 3 | OTL: 0 | P: 14
GF: 44 | GA: 33 | PP%: 46.15% | PK%: 84.21%
DG: Eug Sorokin | Morale : 56 | Moyenne d’équipe : 63
Prochains matchs #134 vs Laval Rocket

Centre de jeu
Marlies
7-3-0, 14pts
2
FINAL
4 Bruins
5-4-1, 11pts
Team Stats
W1SéquenceL1
4-2-0Fiche domicile3-2-0
3-1-0Fiche domicile2-2-1
7-3-0Derniers 10 matchs5-4-1
4.40Buts par match 3.80
3.30Buts contre par match 3.60
46.15%Pourcentage en avantage numérique28.00%
84.21%Pourcentage en désavantage numérique71.43%
Laval Rocket
4-7-0, 8pts
5
FINAL
7 Marlies
7-3-0, 14pts
Team Stats
L3SéquenceW1
3-2-0Fiche domicile4-2-0
1-5-0Fiche domicile3-1-0
4-6-0Derniers 10 matchs7-3-0
4.55Buts par match 4.40
5.55Buts contre par match 3.30
12.00%Pourcentage en avantage numérique46.15%
69.44%Pourcentage en désavantage numérique84.21%
Marlies
7-3-0, 14pts
Jour 25
Laval Rocket
4-7-0, 8pts
Statistiques d’équipe
W1SéquenceL3
4-2-0Fiche domicile3-2-0
3-1-0Fiche visiteur1-5-0
7-3-010 derniers matchs4-6-0
4.40Buts par match 4.55
3.30Buts contre par match 4.55
46.15%Pourcentage en avantage numérique12.00%
84.21%Pourcentage en désavantage numérique69.44%
Fighting Pandas
7-3-1, 15pts
Jour 27
Marlies
7-3-0, 14pts
Statistiques d’équipe
W2SéquenceW1
4-1-0Fiche domicile4-2-0
3-2-1Fiche visiteur3-1-0
7-3-010 derniers matchs7-3-0
5.09Buts par match 4.40
4.73Buts contre par match 4.40
14.81%Pourcentage en avantage numérique46.15%
72.97%Pourcentage en désavantage numérique84.21%
Marlies
7-3-0, 14pts
Jour 28
Americiens
2-5-3, 7pts
Statistiques d’équipe
W1SéquenceW1
4-2-0Fiche domicile1-1-3
3-1-0Fiche visiteur1-4-0
7-3-010 derniers matchs2-5-3
4.40Buts par match 3.40
3.30Buts contre par match 3.40
46.15%Pourcentage en avantage numérique19.23%
84.21%Pourcentage en désavantage numérique90.91%
Meneurs d'équipe
Jaden SchwartzButs
Jaden Schwartz
8
Will BorgenPasses
Will Borgen
9
Jaden SchwartzPoints
Jaden Schwartz
16
Jaden SchwartzPlus/Moins
Jaden Schwartz
9
Joonas KorpisaloVictoires
Joonas Korpisalo
7
Joonas KorpisaloPourcentage d’arrêts
Joonas Korpisalo
0.881

Statistiques d’équipe
Buts pour
44
4.40 GFG
Tirs pour
343
34.30 Avg
Pourcentage en avantage numérique
46.2%
6 GF
Début de zone offensive
41.6%
Buts contre
33
3.30 GAA
Tirs contre
283
28.30 Avg
Pourcentage en désavantage numérique
84.2%%
3 GA
Début de la zone défensive
35.4%
Informations de l'équipe

Directeur généralEug Sorokin
EntraîneurSheldon Keefe
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs11


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
1Logan StankovenX100.00625988755677927666697262536063061660231500,000$
2Jaden SchwartzX100.006455917065787071727070715180770646603421,000,000$
3Vasily PodkolzinX100.00836488706877937350667168516264064660253500,000$
4Mark JankowskiX100.00665689687268807072636570527674063650321500,000$
5Ben Kindel (R)X100.00595587736476886762666966635257062640194500,000$
6Linus KarlssonX100.00695685706371897250676756626465061640262750,000$
7Ben MeyersX100.00726893666970696772636174506869061640271500,000$
8Mattias JanmarkX100.00565785667470646650635071507675057610331500,000$
9Maksim TsyplakovX100.00765593667364666850575057506865058590282500,000$
10Philip TomasinoX100.00535089576653525050505050506362058510253500,000$
11Brayden YagerX100.00504167576350515050505050505559047500213500,000$
12Will BorgenX100.00746376627273886650605276567173061660291925,000$
13Jeff PetryX100.00705981647567806650595069558781061650381550,000$
14Johnathan KovacevicX100.00756874618170626850635172557172064640291550,000$
15Alexander PetrovicX100.00776281627868726650595068558076061640341550,000$
16Joel HanleyX100.00646483626667816450565170558278059630351500,000$
17Samuel GirardX100.00576284635973777050675071556970059630282500,000$
Rayé
1Radko GudasX100.00846980637470736750625073558481039670362500,000$
MOYENNE D’ÉQUIPE100.0067598465696975675562576654707005963
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
1Joonas Korpisalo98.0073757476767571747356617777047710322500,000$
2Pheonix Copley100.0050605977505050505050507979063560341500,000$
Rayé
MOYENNE D’ÉQUIPE99.006268677763636162625356787805564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe7585859075751CAN465500,000$


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
1Jaden SchwartzMarlies (TOR)LW108816940101337123521.62%121821.841232100110180175.00%1600001.4700000112
2Vasily PodkolzinMarlies (TOR)RW108513780281447123117.02%119519.55213410000001140.00%1000011.3300000210
3Logan StankovenMarlies (TOR)C1057129007323993212.82%221921.941125101011200158.25%28500001.0900000112
4Will BorgenMarlies (TOR)D1009938031911490%1421321.3803328011012000%000000.8400000001
5Mark JankowskiMarlies (TOR)LW1054942010932151615.63%018018.07112470001112073.68%1900001.0000000100
6Ben KindelMarlies (TOR)C104484408133282312.50%018118.11101470003101052.34%21400000.8800000010
7Jeff PetryMarlies (TOR)D100884001474540%1521521.5302248000014000%000000.7400000010
8Johnathan KovacevicMarlies (TOR)D10167595221693611.11%1420620.6300018000014000%000000.6800100000
9Linus KarlssonMarlies (TOR)C10527-50012113692613.89%220020.1000027000002075.00%1200000.7000000101
10Ben MeyersMarlies (TOR)C10167420177326273.13%216016.0700000000001040.00%1000000.8700000000
11Samuel GirardMarlies (TOR)D10055-1205115060%917217.240000000001000%000000.5800000000
12Luke GlendeningToronto Maple LeafsC52354205201271116.67%27515.0400000000010075.61%8200001.3300000010
13Joel HanleyMarlies (TOR)D10134-24021683212.50%817917.920000200006000%000000.4500000000
14Alexander PetrovicMarlies (TOR)D101347002611102310.00%1221121.1400007000016000%000000.3800000001
15Maksim TsyplakovMarlies (TOR)RW10213-3201281721411.76%015615.6700000000010036.36%1100000.3800000000
16Mattias JanmarkMarlies (TOR)C10033-70031291150%210910.9200000000030046.27%13400000.5500000000
17Philip TomasinoMarlies (TOR)RW10101-2001030133.33%0424.2600000000000033.33%300000.4700000000
18Brayden YagerMarlies (TOR)C5000-220110000%0214.2500000000000044.44%180000000000000
Statistiques d’équipe totales ou en moyenne1704477121384952332003439826112.83%84296017.4161016289012351337356.27%81400010.8200100667
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
1Joonas KorpisaloMarlies (TOR)107300.8813.35574003227001000100000
2Pheonix CopleyMarlies (TOR)20000.9232.50240011300000010000
Statistiques d’équipe totales ou en moyenne127300.8833.31599003328301001010000


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Alexander PetrovicMarlies (TOR)D341992-03-03CANNo215 Lbs6 ft5NoNoFree AgentNoNo12026-07-26FalseFalsePro & Farm550,000$55,000$48,827$No---------------------------Lien / Lien NHL
Ben KindelMarlies (TOR)C192007-04-19CANYes182 Lbs5 ft11NoNoProspectNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$500,000$---------------NoNoNo------Lien
Ben MeyersMarlies (TOR)C271998-11-15CANNo194 Lbs5 ft11NoNoFree AgentNoNo12026-07-19FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Brayden YagerMarlies (TOR)C212005-01-03CANNo180 Lbs5 ft11NoNoFree AgentNoNo32026-06-27FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Jaden SchwartzMarlies (TOR)LW341992-06-25CANNo185 Lbs5 ft10NoNoFree AgentNoNo22025-08-11FalseFalsePro & Farm1,000,000$100,000$88,776$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jeff PetryMarlies (TOR)D381987-12-09CANNo208 Lbs6 ft3NoNoFree AgentNoNo12026-07-26FalseFalsePro & Farm550,000$55,000$48,827$No---------------------------Lien / Lien NHL
Joel HanleyMarlies (TOR)D351991-06-08CANNo186 Lbs5 ft11NoNoFree AgentNoNo12026-07-26FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Johnathan KovacevicMarlies (TOR)D291997-07-12CANNo223 Lbs6 ft5NoNoFree Agent2024-09-23NoNo12026-07-26FalseFalsePro & Farm550,000$55,000$48,827$No---------------------------Lien / Lien NHL
Joonas KorpisaloMarlies (TOR)G321994-04-28CANNo200 Lbs6 ft4NoNoTrade2026-07-22NoNo22024-08-19FalseFalsePro & Farm500,000$50,000$44,388$No500,000$--------500,000$--------No--------Lien / Lien NHL
Linus KarlssonMarlies (TOR)C261999-11-16CANNo178 Lbs6 ft1NoNoFree AgentNoNo22024-09-12FalseFalsePro & Farm750,000$75,000$66,582$No750,000$--------750,000$--------No--------Lien / Lien NHL
Logan StankovenMarlies (TOR)C232003-02-26CANNo165 Lbs5 ft8NoNoProspectNoNo12024-08-10FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Maksim TsyplakovMarlies (TOR)RW281998-09-19CANNo203 Lbs6 ft3NoNoDraftNoNo22026-06-30FalseFalsePro & Farm500,000$50,000$44,388$No500,000$-----------------No--------Lien
Mark JankowskiMarlies (TOR)LW321994-09-13CANNo200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Mattias JanmarkMarlies (TOR)C331992-12-08CANNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Pheonix CopleyMarlies (TOR)G341992-01-18CANNo205 Lbs6 ft4NoNoFree AgentNoNo12026-09-17FalseFalsePro & Farm500,000$50,000$44,388$No---------------------------Lien / Lien NHL
Philip TomasinoMarlies (TOR)RW252001-07-28CANNo187 Lbs6 ft0NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Radko GudasMarlies (TOR)D361990-06-05CANNo208 Lbs6 ft0NoNoFree Agent2026-03-02NoNo22026-07-19FalseFalsePro & Farm500,000$50,000$44,388$No500,000$--------500,000$--------No--------Lien / Lien NHL
Samuel GirardMarlies (TOR)D281998-05-12CANNo170 Lbs5 ft10NoNoTrade2025-07-20NoNo22024-08-19FalseFalsePro & Farm500,000$50,000$44,388$No500,000$--------500,000$--------No--------Lien / Lien NHL
Vasily PodkolzinMarlies (TOR)RW252001-06-24CANNo190 Lbs6 ft1NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$44,388$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Will BorgenMarlies (TOR)D291996-12-19CANNo199 Lbs6 ft3NoNoTrade2026-01-22NoNo12025-07-27FalseFalsePro & Farm925,000$92,500$82,117$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.40194 Lbs6 ft11.75566,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaden SchwartzLogan StankovenVasily Podkolzin35122
2Mark JankowskiBen KindelBen Meyers30122
3Linus KarlssonMattias JanmarkMaksim Tsyplakov30122
4Linus KarlssonBrayden YagerPhilip Tomasino5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will BorgenJeff Petry35122
2Johnathan KovacevicAlexander Petrovic35122
3Joel HanleySamuel Girard30122
4Will BorgenJeff Petry0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaden SchwartzLogan StankovenVasily Podkolzin60122
2Mark JankowskiBen KindelLinus Karlsson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will BorgenJeff Petry60122
2Johnathan KovacevicAlexander Petrovic40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan StankovenJaden Schwartz60122
2Ben KindelMark Jankowski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicAlexander Petrovic60122
2Will BorgenJeff Petry40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mattias Janmark60122Will BorgenJeff Petry60122
2Ben Meyers40122Johnathan KovacevicAlexander Petrovic40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan StankovenJaden Schwartz60122
2Ben KindelMark Jankowski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will BorgenJeff Petry60122
2Johnathan KovacevicAlexander Petrovic40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaden SchwartzLogan StankovenVasily PodkolzinWill BorgenJeff Petry
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaden SchwartzLogan StankovenVasily PodkolzinWill BorgenJeff Petry
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Janmark, Maksim Tsyplakov, Brayden YagerBen Meyers, Maksim TsyplakovBen Kindel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Petrovic, Joel Hanley, Samuel GirardAlexander PetrovicAlexander Petrovic, Joel Hanley
Tirs de pénalité
Vasily Podkolzin, Jaden Schwartz, Logan Stankoven, Mark Jankowski, Ben Kindel
Gardien
#1 : Joonas Korpisalo, #2 : Pheonix Copley


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
1Americiens1010000025-31010000025-30000000000000.00023500141812037881341210265015000%000%017933952.80%16328856.60%11618762.03%2631902106312565
2Bruins32100000871110000004222110000045-140.66781422001418120104881341210501620675480.00%8275.00%017933952.80%16328856.60%11618762.03%2631902106312565
3Fighting Pandas11000000532000000000001100000053221.0005914001418120328813412103410624200.00%3166.67%017933952.80%16328856.60%11618762.03%2631902106312565
4Ice Bats21100000972211000009720000000000020.500918270014181205288134121070211347200.00%30100.00%017933952.80%16328856.60%11618762.03%2631902106312565
5Laval Rocket11000000752110000007520000000000021.000712190014181205788134121042192393133.33%10100.00%017933952.80%16328856.60%11618762.03%2631902106312565
6Lynx220000001367110000006241100000074341.00013213400141812061881341210611384111100.00%40100.00%117933952.80%16328856.60%11618762.03%2631902106312565
Total10730000044331164200000282174310000016124140.7004477121001418120343881341210283844923313646.15%19384.21%117933952.80%16328856.60%11618762.03%2631902106312565
_Since Last GM Reset10730000044331164200000282174310000016124140.7004477121001418120343881341210283844923313646.15%19384.21%117933952.80%16328856.60%11618762.03%2631902106312565
_Vs Conference862000003526943100000191454310000016124120.750355994001418120291881341210213633618611654.55%16381.25%117933952.80%16328856.60%11618762.03%2631902106312565
_Vs Division862000003526943100000191454310000016124120.750355994001418120291881341210213633618611654.55%16381.25%117933952.80%16328856.60%11618762.03%2631902106312565

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1014W14477121343283844923300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107300004433
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64200002821
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
43100001612
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13646.15%19384.21%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
8813412101418120
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
17933952.80%16328856.60%11618762.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2631902106312565


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
314Ice Bats3Marlies6WSommaire du match
527Bruins2Marlies4WSommaire du match
738Marlies5Fighting Pandas3WSommaire du match
846Marlies2Bruins1WSommaire du match
1160Ice Bats4Marlies3LSommaire du match
1476Americiens5Marlies2LSommaire du match
1582Marlies7Lynx4WSommaire du match
1899Lynx2Marlies6WSommaire du match
19106Marlies2Bruins4LSommaire du match
22121Laval Rocket5Marlies7WSommaire du match
25134Marlies-Laval Rocket-
27146Fighting Pandas-Marlies-
28151Marlies-Americiens-
31169Bruins-Marlies-
33182Marlies-Fighting Pandas-
35186Marlies-Americiens-
38201Ice Bats-Marlies-
40217Marlies-Laval Rocket-
42223Ice Bats-Marlies-
44232Marlies-Roadrunners-
46246Marlies-Admirals-
48253Aces-Marlies-
50263Marlies-Aces-
52275Marlies-Orlando Solar Bears-
54283Griffins-Marlies-
56297Marlies-Newfoundland Regiment-
58306Marlies-Americiens-
59312Nordiks-Marlies-
61328Marlies-Quacken-
63335Laval Rocket-Marlies-
66352Barons-Marlies-
68364Marlies-Wranglers-
70378Broncos-Marlies-
72386Marlies-Nordiks-
74398Marlies-Lions-
75407Quacken-Marlies-
79426Bruins-Marlies-
82441Marlies-Firebirds-
83449Wombats-Marlies-
86465Marlies-Firebirds-
88474Marlies-Canucks-
90480Broncos-Marlies-
93498Lynx-Marlies-
95512Marlies-Griffins-
97521Wombats-Marlies-
99530Marlies-Griffins-
102545Lynx-Marlies-
106566Americiens-Marlies-
110581Marlies-Lynx-
112591Griffins-Marlies-
114609Marlies-Tomahawks-
115615Roadrunners-Marlies-
117627Marlies-Lynx-
120639Laval Rocket-Marlies-
122651Marlies-Wombats-
124662Barracuda-Marlies-
126671Marlies-Fighting Pandas-
128683Marlies-Orlando Solar Bears-
129691Tomahawks-Marlies-
133707Marlies-Admirals-
135716Orlando Solar Bears-Marlies-
139736Americiens-Marlies-
141748Marlies-Barons-
144759Marlies-Broncos-
145765Canucks-Marlies-
149783Fighting Pandas-Marlies-
151796Marlies-Wombats-
153805Fighting Pandas-Marlies-
157825Wranglers-Marlies-
159834Marlies-Barons-
161846Marlies-Laval Rocket-
163854Marlies-Tomahawks-
164860Orlando Solar Bears-Marlies-
166874Marlies-Broncos-
169885Admirals-Marlies-
172901Marlies-Ice Bats-
173906Admirals-Marlies-
176921Marlies-Barracuda-
177932Lions-Marlies-
180945Marlies-Bruins-
182955Newfoundland Regiment-Marlies-
187978Firebirds-Marlies-
188984Marlies-Bruins-
192998Firebirds-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
185,788$ 1,132,500$ 1,132,500$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,132,500$ 129,666$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 174 8,329$ 1,449,246$




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

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

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

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

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