Please rotate your device to landscape mode for a better experience.
Connexion

Marlies
GP: 16 | W: 11 | L: 5 | OTL: 0 | P: 22
GF: 83 | GA: 38 | PP%: 27.69% | PK%: 89.04%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 60

Centre de jeu
Marlies
11-5-0, 22pts
2
FINAL
3 Crunch
12-4-0, 24pts
Team Stats
L2SéquenceW3
6-2-0Fiche domicile7-1-0
5-3-0Fiche domicile5-3-0
5-5-0Derniers 10 matchs8-2-0
5.19Buts par match 4.69
2.38Buts contre par match 2.25
27.69%Pourcentage en avantage numérique28.07%
89.04%Pourcentage en désavantage numérique92.65%
Griffins
3-13-0, 6pts
4
FINAL
2 Marlies
11-5-0, 22pts
Team Stats
W1SéquenceL2
1-7-0Fiche domicile6-2-0
2-6-0Fiche domicile5-3-0
2-8-0Derniers 10 matchs5-5-0
2.69Buts par match 5.19
7.00Buts contre par match 2.38
6.38%Pourcentage en avantage numérique27.69%
57.58%Pourcentage en désavantage numérique89.04%
Meneurs d'équipe
Martin ChromiakButs
Martin Chromiak
11
Denver BarkeyPasses
Denver Barkey
17
Denver BarkeyPoints
Denver Barkey
25
Nick AbruzzesePlus/Moins
Nick Abruzzese
19
Jiri PateraVictoires
Jiri Patera
11
Jiri PateraPourcentage d’arrêts
Jiri Patera
0.844

Statistiques d’équipe
Buts pour
83
5.19 GFG
Tirs pour
476
29.75 Avg
Pourcentage en avantage numérique
27.7%
18 GF
Début de zone offensive
42.8%
Buts contre
38
2.38 GAA
Tirs contre
239
14.94 Avg
Pourcentage en désavantage numérique
89.0%%
8 GA
Début de la zone défensive
29.6%
Informations de l'équipe

Directeur généralGarrett
EntraîneurDerek Lalonde
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 51
Espoirs48


Historique d'équipe

Saison actuelle11-5-0 (22PTS)
Historique0--0
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
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
1Denver Barkey (R)XX100.00754288796265867537736266254747695066N02132,500,000$
2Rutger McGroarty (R)XX100.0076449479776169634261646725464667506302221,450,000$
3Nate Danielson (R)X100.0061419577735864725964587025464664506302221,886,667$
4Lenni Hameenaho (R)XX100.006742877072628564266457662547476350620213950,000$
5Nick AbruzzeseX100.007263946463707266806662645945456550620272850,000$
6Jack StudnickaXX100.007543927669477662495055692558596150610271875,000$
7Martin ChromiakX100.007770936670575664505965666244446650610243850,000$
8Akil ThomasX100.007971966671494662786258675546466350600261850,000$
9Curtis Douglas (R)XX100.00809937729746666039575569254747605060N0263900,000$
10Zayde WisdomX100.007670896170798555694858635544446150590242850,000$
11Ethan Cardwell (R)XX100.007066806266555461505760625745456150580241925,000$
12Jacob Bernard-DockerX100.0075548771736580622545478425636362506702621,600,000$
13Donovan Sebrango (R)X100.008399577783666162255447782548486150660243900,000$
14Dennis CholowskiX100.00594295697865536225504775256162595063N0283900,000$
15Kyle CapobiancoX100.00634291717359586525484873255758595062N0293900,000$
16Jeremy DaviesX100.007069716069808756255246614446465750600291900,000$
17Hunter McDonald (R)X100.0080876259877381452535396237444451505902421,200,000$
18Cade Webber (R)X100.008585846185525544253439653744445150570253850,000$
Rayé
1Matvey PetrovX100.008175966275565852504851654844445750560231850,000$
2Tanner Dickinson (R)X100.007365936265677251644751604844445650560241878,333$
MOYENNE D’ÉQUIPE100.00746384687462686043545368384848615061
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
1Jiri Patera100.00475063835752545450463044445150540272900,000$
2Domenic DiVincentiis (R)100.00415063764848504946423044444750500223905,556$
Rayé
1Jesper Vikman100.00374050844239504641383044444250470241858,000$
MOYENNE D’ÉQUIPE100.0042475981494651504642304444475050
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Lalonde71707574817568USA542500,000$


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
1Denver BarkeyMarlies (TOR)C/LW16817257100273541102919.51%136022.541785460111591058.75%40000001.3900000034
2Rutger McGroartyMarlies (TOR)LW/RW169132210120211545113420.00%230919.3444810520221361065.38%2600001.4200000211
3Nick AbruzzeseMarlies (TOR)C16912211960112847113219.15%126116.3111219000002068.12%20700001.6100000122
4Ethan CardwellMarlies (TOR)LW/RW1671421198011123662619.44%125616.0001115101120071.43%1400001.6400000111
5Martin ChromiakMarlies (TOR)RW161181918120212255173120.00%127717.37000010002282064.10%3900001.3700000101
6Lenni HameenahoMarlies (TOR)LW/RW1697161080161335112125.71%032020.012356502025482050.00%1600001.0000000020
7Jeremy DaviesMarlies (TOR)D160141412201479340%727016.9002221400003000%000001.0400000000
8Donovan SebrangoMarlies (TOR)D16113144375389157196.67%928617.93156949000052000%000000.9800100000
9Jacob Bernard-DockerMarlies (TOR)D1611213420128216164.76%1136022.530221046000156000%000000.7200000002
10Jack StudnickaMarlies (TOR)C/RW1658136000132642019.23%125916.191454461011151050.00%2000001.0000000110
11Nate DanielsonMarlies (TOR)C16761330003149123714.29%333120.7201110390113580060.39%20700010.7800000201
12Curtis DouglasMarlies (TOR)LW/RW1648125295551331102212.90%024015.06134246000001081.82%1100001.0000100110
13Dennis CholowskiMarlies (TOR)D1647111720117207820.00%732720.443141150022158000%000000.6700000100
14Kyle CapobiancoMarlies (TOR)D16191015100206184195.56%631519.721121149000152000%000000.6300000010
15Zayde WisdomMarlies (TOR)C164154407094644.44%0603.79303521000000055.17%2900001.6500000101
16Akil ThomasMarlies (TOR)C16213-10045123316.67%0603.7600000000031069.81%5300001.0000000000
17Hunter McDonaldMarlies (TOR)D161121328038372414.29%1026716.7200013000018010%000000.1500000000
18Cade WebberMarlies (TOR)D160115201150010%4915.7400000000013000%000000.2200000000
Statistiques d’équipe totales ou en moyenne288831522351701721031723247612833217.44%64465716.171835538853546101751011161.94%102200011.0100200111213
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
1Jiri PateraMarlies (TOR)1611500.8442.33926233623100200160000
2Domenic DiVincentiisMarlies (TOR)10001.000030000600000016000
Statistiques d’équipe totales ou en moyenne1711500.8482.26957233623700201616000


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 Salaire restantPlafond 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
Akil ThomasMarlies (TOR)C262000-01-02CANNo195 Lbs6 ft0NoNoFree Agent2025-08-17NoNo12026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Cade WebberMarlies (TOR)D252001-01-05USAYes220 Lbs6 ft6NoNoAssign ManuallyNoNo32026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Curtis DouglasMarlies (TOR)LW/RW262000-03-06CANYes242 Lbs6 ft9YesNoFree AgentNoNo32026-08-14FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Dennis CholowskiMarlies (TOR)D281998-02-15CANNo210 Lbs6 ft2YesNoFree AgentNoNo32026-08-14FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Denver BarkeyMarlies (TOR)C/LW212005-04-27CANYes171 Lbs5 ft10YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm2,500,000$2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------YesYes-------Lien / Lien NHL
Domenic DiVincentiisMarlies (TOR)G222004-03-04CANYes194 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm905,556$905,556$0$0$No905,556$905,556$-------905,556$905,556$-------NoNo-------Lien / Lien NHL
Donovan SebrangoMarlies (TOR)D242002-01-12CANYes223 Lbs6 ft2NoNoFree Agent2025-08-12NoNo32026-06-20FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien / Lien NHL
Ethan CardwellMarlies (TOR)LW/RW242002-08-30CANYes180 Lbs5 ft11NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm925,000$925,000$0$0$No---------------------------Lien / Lien NHL
Hunter McDonaldMarlies (TOR)D242002-05-11USAYes238 Lbs6 ft4NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien / Lien NHL
Jack StudnickaMarlies (TOR)C/RW271999-02-18CANNo187 Lbs6 ft1NoNoFree AgentNoNo12024-06-24FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Lien / Lien NHL
Jacob Bernard-DockerMarlies (TOR)D262000-06-30CANNo196 Lbs6 ft1NoNoFree AgentNoNo22026-07-06FalseFalsePro & Farm1,600,000$1,600,000$0$0$No1,600,000$--------1,600,000$--------No--------Lien / Lien NHL
Jeremy DaviesMarlies (TOR)D291996-12-04CANNo190 Lbs5 ft11NoNoFree AgentNoNo12024-06-24FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien / Lien NHL
Jesper VikmanMarlies (TOR)G242002-03-11SWENo205 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-16FalseFalsePro & Farm858,000$858,000$0$0$No---------------------------Lien / Lien NHL
Jiri PateraMarlies (TOR)G271999-02-24CZENo212 Lbs6 ft3NoNoFree AgentNoNo22026-06-20FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Kyle CapobiancoMarlies (TOR)D291997-08-13CANNo194 Lbs6 ft3YesNoFree AgentNoNo32026-08-14FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Lenni HameenahoMarlies (TOR)LW/RW212004-11-07FINYes195 Lbs6 ft1NoNoAssign ManuallyNoNo32026-05-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Martin ChromiakMarlies (TOR)RW242002-08-20SVKNo190 Lbs6 ft0NoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Matvey PetrovMarlies (TOR)LW232003-03-12RUSNo200 Lbs6 ft2NoNoAssign ManuallyNoNo12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Nate DanielsonMarlies (TOR)C222004-09-27CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,886,667$1,886,667$0$0$No1,886,667$--------1,886,667$--------No--------Lien / Lien NHL
Nick AbruzzeseMarlies (TOR)C271999-06-04USANo178 Lbs5 ft10NoNoFree Agent2025-08-17NoNo22026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Rutger McGroartyMarlies (TOR)LW/RW222004-03-30USAYes212 Lbs6 ft1NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,450,000$1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------Lien / Lien NHL
Tanner DickinsonMarlies (TOR)C242002-03-05USAYes176 Lbs6 ft0NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm878,333$878,333$0$0$No---------------------------Lien / Lien NHL
Zayde WisdomMarlies (TOR)C242002-07-07CANNo195 Lbs5 ft11NoNoFree AgentNoNo22026-08-01FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.74200 Lbs6 ft22.091,066,459$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rutger McGroartyDenver BarkeyLenni Hameenaho40122
2Curtis DouglasNate DanielsonJack Studnicka30122
3Ethan CardwellNick AbruzzeseMartin Chromiak20122
4Denver BarkeyAkil ThomasNate Danielson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango40122
2Dennis CholowskiKyle Capobianco30122
3Jeremy DaviesHunter McDonald20122
4Cade WebberJacob Bernard-Docker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rutger McGroartyDenver BarkeyLenni Hameenaho60122
2Curtis DouglasNate DanielsonJack Studnicka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango60122
2Dennis CholowskiKyle Capobianco40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Denver BarkeyNate Danielson60122
2Rutger McGroartyLenni Hameenaho40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango60122
2Dennis CholowskiKyle Capobianco40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Denver Barkey60122Jacob Bernard-DockerDonovan Sebrango60122
2Nate Danielson40122Dennis CholowskiKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Denver BarkeyNate Danielson60122
2Rutger McGroartyLenni Hameenaho40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerDonovan Sebrango60122
2Dennis CholowskiKyle Capobianco40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rutger McGroartyDenver BarkeyLenni HameenahoJacob Bernard-DockerDonovan Sebrango
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rutger McGroartyDenver BarkeyLenni HameenahoJacob Bernard-DockerDonovan Sebrango
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zayde Wisdom, Nick Abruzzese, Martin ChromiakZayde Wisdom, Nick AbruzzeseMartin Chromiak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremy Davies, Hunter McDonald, Cade WebberJeremy DaviesHunter McDonald, Cade Webber
Tirs de pénalité
Denver Barkey, Nate Danielson, Rutger McGroarty, Lenni Hameenaho, Nick Abruzzese
Gardien
#1 : Jiri Patera, #2 : Domenic DiVincentiis
Lignes d’attaque personnalisées en prolongation
Denver Barkey, Nate Danielson, Rutger McGroarty, Lenni Hameenaho, Nick Abruzzese, Jack Studnicka, Martin Chromiak, Akil Thomas, Curtis Douglas, Zayde Wisdom
Lignes de défense personnalisées en prolongation
Jacob Bernard-Docker, Donovan Sebrango, Dennis Cholowski, Kyle Capobianco, Jeremy Davies


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
1Bruins1100000010190000000000011000000101921.000101828003225260311311651800105221200.00%10100.00%028743765.68%17330357.10%17328261.35%53040624289186107
2Canucks2200000011110110000004041100000071641.00011193001322526060131165180015125354125.00%50100.00%128743765.68%17330357.10%17328261.35%53040624289186107
3Comets21100000743110000004041010000034-120.5007121901322526075131165180026622364125.00%100100.00%028743765.68%17330357.10%17328261.35%53040624289186107
4Crunch21100000752110000005231010000023-120.500713200032252603413116518003214203613215.38%10190.00%028743765.68%17330357.10%17328261.35%53040624289186107
5Griffins2110000011741010000024-21100000093620.500111930103225260821311651800311322475360.00%110100.00%028743765.68%17330357.10%17328261.35%53040624289186107
6Monsters2200000013310110000006061100000073441.000132437013225260751311651800277294812541.67%100100.00%128743765.68%17330357.10%17328261.35%53040624289186107
7Phantoms1010000023-11010000023-10000000000000.0002460032252601413116518002441212600.00%6183.33%028743765.68%17330357.10%17328261.35%53040624289186107
8Rocket220000001358110000006151100000074341.00013263900322526061131165180036426478225.00%12466.67%128743765.68%17330357.10%17328261.35%53040624289186107
9Senators21100000990110000004221010000057-220.500917261032252604413116518003810163511436.36%8275.00%128743765.68%17330357.10%17328261.35%53040624289186107
Total16115000008338458620000033122185300000502624220.68883152235233225260476131165180023964174317651827.69%73889.04%428743765.68%17330357.10%17328261.35%53040624289186107
_Since Last GM Reset16115000008338458620000033122185300000502624220.68883152235233225260476131165180023964174317651827.69%73889.04%428743765.68%17330357.10%17328261.35%53040624289186107
_Vs Conference16115000008338458620000033122185300000502624220.68883152235233225260476131165180023964174317651827.69%73889.04%428743765.68%17330357.10%17328261.35%53040624289186107
_Vs Division91040000050272346100000179854300000331815201.111509314320322526025213116518001474686186391128.21%42783.33%228743765.68%17330357.10%17328261.35%53040624289186107

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1622L2831522354762396417431723
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1611500008338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
86200003312
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300005026
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
651827.69%73889.04%4
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
13116518003225260
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
28743765.68%17330357.10%17328261.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
53040624289186107


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
16Rocket1Marlies6WSommaire du match
223Marlies7Rocket4WSommaire du match
445Marlies7Canucks1WSommaire du match
557Canucks0Marlies4WSommaire du match
670Comets0Marlies4WSommaire du match
785Marlies10Bruins1WSommaire du match
9100Marlies7Monsters3WSommaire du match
10118Marlies3Comets4LSommaire du match
11126Monsters0Marlies6WSommaire du match
12142Marlies9Griffins3WSommaire du match
13156Senators2Marlies4WSommaire du match
16183Phantoms3Marlies2LSommaire du match
18206Marlies5Senators7LSommaire du match
19217Crunch2Marlies5WSommaire du match
20227Marlies2Crunch3LSommaire du match
22250Griffins4Marlies2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,452,856$ 2,452,856$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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
Saison régulière
Total Saison régulière00000000000000%0%0%0%0%000000
Séries éliminatoires
20257340000017143312000007614220000010826173148017640140464048615737135137461226.09%60985.00%010320650.00%12524451.23%5010348.54%162105190589245
Total Séries éliminatoires7340000017143312000007614220000010826173148017640140464048615737135137461226.09%60985.00%010320650.00%12524451.23%5010348.54%162105190589245

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
1Luke Evangelista7369-102192213.64%017725.35347900010033.33%01.0100
2Jack Studnicka73470416271816.67%017925.65336700010053.80%00.7800
3Jacob Bernard-Docker7167-14412911.11%916824.0815670000100%00.8300
4Sean Day7224-122251922.22%616623.8022470000000%00.4800
5Spencer Smallman72240623450.00%0486.90112200000043.75%01.6600

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
1Jiri Patera73130.9111.89445011415701000