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Marlies
GP: 4 | W: 3 | L: 1 | OTL: 0 | P: 6
GF: 24 | GA: 9 | PP%: 40.00% | PK%: 89.47%
DG: Garrett | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #81 vs Rocket

Centre de jeu
Marlies
3-1-0, 6pts
2
FINAL
3 Rocket
6-0-0, 12pts
Team Stats
W1SéquenceW6
2-0-0Fiche domicile2-0-0
1-1-0Fiche domicile4-0-0
3-1-0Derniers 10 matchs6-0-0
6.00Buts par match 5.50
2.25Buts contre par match 1.33
40.00%Pourcentage en avantage numérique4.35%
89.47%Pourcentage en désavantage numérique86.36%
Marlies
3-1-0, 6pts
6
FINAL
1 Firebirds
0-3-0, 0pts
Team Stats
W1SéquenceL3
2-0-0Fiche domicile0-3-0
1-1-0Fiche domicile0-0-0
3-1-0Derniers 10 matchs0-3-0
6.00Buts par match 2.33
2.25Buts contre par match 4.67
40.00%Pourcentage en avantage numérique8.33%
89.47%Pourcentage en désavantage numérique70.00%
Rocket
6-0-0, 12pts
Jour 14
Marlies
3-1-0, 6pts
Statistiques d’équipe
W6SéquenceW1
2-0-0Fiche domicile2-0-0
4-0-0Fiche visiteur1-1-0
6-0-010 derniers matchs3-1-0
5.50Buts par match 6.00
1.33Buts contre par match 6.00
4.35%Pourcentage en avantage numérique40.00%
86.36%Pourcentage en désavantage numérique89.47%
Reign
5-0-0, 10pts
Jour 16
Marlies
3-1-0, 6pts
Statistiques d’équipe
W5SéquenceW1
3-0-0Fiche domicile2-0-0
2-0-0Fiche visiteur1-1-0
5-0-010 derniers matchs3-1-0
6.00Buts par match 6.00
1.20Buts contre par match 6.00
16.00%Pourcentage en avantage numérique40.00%
85.00%Pourcentage en désavantage numérique89.47%
Marlies
3-1-0, 6pts
Jour 18
Wranglers
4-1-0, 8pts
Statistiques d’équipe
W1SéquenceL1
2-0-0Fiche domicile2-0-0
1-1-0Fiche visiteur2-1-0
3-1-010 derniers matchs4-1-0
6.00Buts par match 7.40
2.25Buts contre par match 7.40
40.00%Pourcentage en avantage numérique14.29%
89.47%Pourcentage en désavantage numérique94.44%
Meneurs d'équipe
Rutger McGroartyButs
Rutger McGroarty
6
Nick AbruzzesePasses
Nick Abruzzese
6
Rutger McGroartyPoints
Rutger McGroarty
9
Martin ChromiakPlus/Moins
Martin Chromiak
7
Jiri PateraVictoires
Jiri Patera
3
Jiri PateraPourcentage d’arrêts
Jiri Patera
0.859

Statistiques d’équipe
Buts pour
24
6.00 GFG
Tirs pour
103
25.75 Avg
Pourcentage en avantage numérique
40.0%
4 GF
Début de zone offensive
37.1%
Buts contre
9
2.25 GAA
Tirs contre
64
16.00 Avg
Pourcentage en désavantage numérique
89.5%%
2 GA
Début de la zone défensive
35.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,931
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 51
Espoirs48


Historique d'équipe

Saison actuelle3-1-0 (6PTS)
Historique3-1-0 (0.750%)
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$
12Donovan Sebrango (R)X100.008399577783666162255447782548486150660243900,000$
13Theo Lindstein (R)X100.006542897571689163255053752545456350650213918,333$
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’ÉQUIPE100.00736384687462696043545467384748615061
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
1Rutger McGroartyMarlies (TOR)LW/RW4639520421431142.86%07819.632133400001100100.00%200012.2900000200
2Nick AbruzzeseMarlies (TOR)C41674401683812.50%08020.08123350000110066.67%7800001.7400000001
3Curtis DouglasMarlies (TOR)LW/RW424654010862733.33%05513.9710110000000050.00%400002.1500000110
4Donovan SebrangoMarlies (TOR)D424658016440250.00%18721.9601128000011000%000001.3700000010
5Lenni HameenahoMarlies (TOR)LW/RW423550026103820.00%06716.90000010000710100.00%200001.4800000000
6Martin ChromiakMarlies (TOR)RW4235700621131118.18%06616.6000004000000080.00%500001.5100000001
7Denver BarkeyMarlies (TOR)C/LW422420083105920.00%09022.71000280000151042.86%700000.8800000000
8Dennis CholowskiMarlies (TOR)D4033620312020%27919.9801105000014000%000000.7500000000
9Theo LindsteinMarlies (TOR)D4033300120010%47819.6400008000016000%000000.7600000001
10Zayde WisdomMarlies (TOR)C41235000271414.29%05614.0500000000000065.79%3800001.0700000000
11Kyle CapobiancoMarlies (TOR)D43035806291233.33%27518.9800015000011000%000000.7900000011
12Jeremy DaviesMarlies (TOR)D4033120121020%27218.020000100008000%000000.8300000000
13Jack StudnickaMarlies (TOR)C/RW4022220507370%15513.86000180000400100.00%100000.7200000000
14Akil ThomasMarlies (TOR)C41122200332233.33%0317.9700000000010065.38%2600001.2600000000
15Nate DanielsonMarlies (TOR)C4022200038360%06817.24000080000170059.46%7400000.5800000000
16Hunter McDonaldMarlies (TOR)D420224060211100.00%26416.230000100003100%000000.6200000000
17Cade WebberMarlies (TOR)D4022400110010%0205.200110000001000%000001.9200000000
18Ethan CardwellMarlies (TOR)LW/RW4011120301030%0317.930000200000000%300000.6300000000
Statistiques d’équipe totales ou en moyenne72244468664007347103308723.30%14116316.164610137900001353063.33%24000011.1700000334
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)43100.8592.26239009640000040000
Statistiques d’équipe totales ou en moyenne43100.8592.2623900964000040000


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 Agent2025-08-17NoYes12026-08-01FalseFalsePro & Farm850,000$798,364$0$0$No---------------------------Lien / Lien NHL
Cade WebberMarlies (TOR)D252001-01-05USAYes220 Lbs6 ft6NoNoAssign ManuallyNoYes32026-10-05FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Curtis DouglasMarlies (TOR)LW/RW262000-03-06CANYes242 Lbs6 ft9YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm900,000$845,327$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------Lien / Lien NHL
Dennis CholowskiMarlies (TOR)D281998-02-15CANNo210 Lbs6 ft2YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm900,000$845,327$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$2,348,131$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$850,546$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$845,327$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$868,808$0$0$No---------------------------Lien / Lien NHL
Hunter McDonaldMarlies (TOR)D242002-05-11USAYes238 Lbs6 ft4NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,200,000$1,127,103$0$0$No1,200,000$--------1,200,000$--------No--------Lien / Lien NHL
Jack StudnickaMarlies (TOR)C/RW271999-02-18CANNo187 Lbs6 ft1NoNoFree AgentNoYes12024-06-24FalseFalsePro & Farm875,000$821,846$0$0$No---------------------------Lien / Lien NHL
Jeremy DaviesMarlies (TOR)D291996-12-04CANNo190 Lbs5 ft11NoNoFree AgentNoYes12024-06-24FalseFalsePro & Farm900,000$845,327$0$0$No---------------------------Lien / Lien NHL
Jesper VikmanMarlies (TOR)G242002-03-11SWENo205 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-16FalseFalsePro & Farm858,000$805,879$0$0$No---------------------------Lien / Lien NHL
Jiri PateraMarlies (TOR)G271999-02-24CZENo212 Lbs6 ft3NoNoFree AgentNoYes22026-06-20FalseFalsePro & Farm900,000$845,327$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Kyle CapobiancoMarlies (TOR)D291997-08-13CANNo194 Lbs6 ft3YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm900,000$845,327$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$892,290$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$798,364$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$798,364$0$0$No---------------------------Lien / Lien NHL
Nate DanielsonMarlies (TOR)C222004-09-27CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm1,886,667$1,772,056$0$0$No1,886,667$--------1,886,667$--------No--------Lien / Lien NHL
Nick AbruzzeseMarlies (TOR)C271999-06-04USANo178 Lbs5 ft10NoNoFree Agent2025-08-17NoYes22026-08-01FalseFalsePro & Farm850,000$798,364$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$1,361,916$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$824,976$0$0$No---------------------------Lien / Lien NHL
Theo LindsteinMarlies (TOR)D212005-01-05SWEYes197 Lbs6 ft0NoNoTrade2026-10-21NoNo32026-05-15FalseFalsePro & Farm918,333$862,546$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien / Lien NHL
Zayde WisdomMarlies (TOR)C242002-07-07CANNo195 Lbs5 ft11NoNoFree AgentNoNo22026-08-01FalseFalsePro & Farm850,000$798,364$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.52200 Lbs6 ft22.131,036,821$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denver BarkeyNate DanielsonJack Studnicka40122
2Rutger McGroartyNick AbruzzeseMartin Chromiak30122
3Lenni HameenahoZayde WisdomCurtis Douglas20122
4Ethan CardwellAkil ThomasDenver Barkey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoTheo Lindstein40122
2Dennis CholowskiKyle Capobianco30122
3Jeremy DaviesHunter McDonald20122
4Cade WebberDonovan Sebrango10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denver BarkeyNate DanielsonJack Studnicka60122
2Rutger McGroartyNick AbruzzeseMartin Chromiak40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoTheo Lindstein60122
2Dennis CholowskiKyle Capobianco40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nate DanielsonDenver Barkey60122
2Nick AbruzzeseRutger McGroarty40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoTheo Lindstein60122
2Dennis CholowskiKyle Capobianco40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nate Danielson60122Donovan SebrangoTheo Lindstein60122
2Nick Abruzzese40122Dennis CholowskiKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nate DanielsonDenver Barkey60122
2Nick AbruzzeseRutger McGroarty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoTheo Lindstein60122
2Dennis CholowskiKyle Capobianco40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denver BarkeyNate DanielsonJack StudnickaDonovan SebrangoTheo Lindstein
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denver BarkeyNate DanielsonJack StudnickaDonovan SebrangoTheo Lindstein
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Abruzzese, Jack Studnicka, Martin ChromiakNick Abruzzese, Jack StudnickaNick Abruzzese
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremy Davies, Hunter McDonald, Cade WebberJeremy DaviesJeremy Davies, Hunter McDonald
Tirs de pénalité
Denver Barkey, Rutger McGroarty, Nate Danielson, Lenni Hameenaho, Nick Abruzzese
Gardien
#1 : Jiri Patera, #2 : Domenic DiVincentiis
Lignes d’attaque personnalisées en prolongation
Denver Barkey, Rutger McGroarty, Nate Danielson, Lenni Hameenaho, Nick Abruzzese, Jack Studnicka, Martin Chromiak, Curtis Douglas, Akil Thomas, Zayde Wisdom
Lignes de défense personnalisées en prolongation
Donovan Sebrango, Theo Lindstein, 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
1Firebirds11000000615000000000001100000061521.0006915001059017333139014310176350.00%5180.00%0608967.42%528660.47%406561.54%13110263204526
2Griffins11000000743110000007430000000000021.00071421001059036333139011222411100.00%10100.00%0608967.42%528660.47%406561.54%13110263204526
3Islanders11000000918110000009180000000000021.0009172600105904233313901421018100.00%5180.00%0608967.42%528660.47%406561.54%13110263204526
4Rocket1010000023-1000000000001010000023-100.0002460010590833313902571814200.00%80100.00%0608967.42%528660.47%406561.54%13110263204526
Total431000002491522000000165112110000084460.750244468001059010333313906414407310440.00%19289.47%0608967.42%528660.47%406561.54%13110263204526
_Since Last GM Reset431000002491522000000165112110000084460.750244468001059010333313906414407310440.00%19289.47%0608967.42%528660.47%406561.54%13110263204526
_Vs Conference321000001881022000000165111010000023-140.6671835530010590863331390501130564125.00%14192.86%0608967.42%528660.47%406561.54%13110263204526
_Vs Division21100000972110000007431010000023-120.50091827001059044333139036920383133.33%90100.00%0608967.42%528660.47%406561.54%13110263204526

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
46W12444681036414407300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4310000249
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000165
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000084
Derniers 10 matchs
WLOTWOTL SOWSOL
310000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10440.00%19289.47%0
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
333139010590
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
608967.42%528660.47%406561.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13110263204526


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
29Griffins4Marlies7WSommaire du match
636Islanders1Marlies9WSommaire du match
848Marlies2Rocket3LSommaire du match
1165Marlies6Firebirds1WSommaire du match
1481Rocket-Marlies-
16101Reign-Marlies-
18116Marlies-Wranglers-
20130Marlies-Griffins-
22137Marlies-Crunch-
24153Crunch-Marlies-
26169Monsters-Marlies-
28180Marlies-Monsters-
32206Comets-Marlies-
34217Marlies-Comets-
35225Marlies-Gulls-
37243Firebirds-Marlies-
40259Marlies-Canucks-
42273Marlies-Bruins-
43284Firebirds-Marlies-
47307Eagles-Marlies-
49323Marlies-Checkers-
51332Marlies- Americans-
54345Gulls-Marlies-
57363Marlies-Moose-
59377Bruins-Marlies-
62398Marlies-Stars-
64411Crunch-Marlies-
68438Ice Hogs-Marlies-
71457Marlies-Wolf Pack-
73467Monsters-Marlies-
77493 Americans-Marlies-
82519Stars-Marlies-
84530Marlies-Admirals-
86539Marlies-Thunderbirds-
89555Comets-Marlies-
91573Marlies-Roadrunners-
94590Marlies-Rocket-
95596Wild-Marlies-
99619Marlies-Canucks-
100627Griffins-Marlies-
104652Reign-Marlies-
106665Marlies-Barracuda-
110686Bears-Marlies-
112700Marlies-Condors-
115718Barracuda-Marlies-
119744Roadrunners-Marlies-
121761Marlies-Crunch-
123775Marlies-Griffins-
125783Islanders-Marlies-
129807Marlies-Wranglers-
131815Condors-Marlies-
133826Marlies-Ice Hogs-
135845Thunderbirds-Marlies-
137860Marlies-Monsters-
140874Marlies-Gulls-
141884Wolves-Marlies-
144905Marlies-Wolves-
146917Canucks-Marlies-
148929Marlies-Bears-
152949Checkers-Marlies-
155969Marlies-Senators-
156982Penguins-Marlies-
1591001Marlies-Phantoms-
1611012Senators-Marlies-
1641028Marlies-Firebirds-
1661043Canucks-Marlies-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681053Marlies-Penguins-
1701062Marlies-Silver Knights-
1721074Marlies-Senators-
1731084Wolf Pack-Marlies-
1761106Marlies-Eagles-
1771116Silver Knights-Marlies-
1821144Rocket-Marlies-
1831151Marlies-Islanders-
1871175Moose-Marlies-
1901195Marlies-Wild-
1931210Phantoms-Marlies-
1961231Wranglers-Marlies-
2021259Admirals-Marlies-
2051270Marlies-Reign-
2091290Senators-Marlies-
2101298Marlies-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance4,0001,862
Assistance PCT100.00%93.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2931 - 97.70% 70,000$140,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
175,240$ 2,384,688$ 2,384,688$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,143$ 144,859$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,730,000$ 201 13,480$ 2,709,480$




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
1Rutger McGroarty463952421442.86%07819.632133000000100.00%12.2900
2Nick Abruzzese41674416812.50%08020.08123300000066.67%01.7400
3Curtis Douglas424654108633.33%05513.97101100000050.00%02.1500
4Donovan Sebrango424658164450.00%18721.9601120000000%01.3700
5Martin Chromiak423570621118.18%06616.60000000000080.00%01.5100

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
1Jiri Patera43100.8592.262390096400000

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
202643100000249152200000016511211000008446244468001059010333313906414407310440.00%19289.47%0608967.42%528660.47%406561.54%13110263204526
Total Saison régulière43100000249152200000016511211000008446244468001059010333313906414407310440.00%19289.47%0608967.42%528660.47%406561.54%13110263204526
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