Connexion

Toronto Marlies
GP: 30 | W: 8 | L: 20 | OTL: 2 | P: 18
GF: 105 | GA: 151 | PP%: 32.98% | PK%: 42.67%
DG: Henrik Jitelius Järnbrand | Morale : 29 | Moyenne d’équipe : 45
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Toronto Marlies
8-20-2, 18pts
5
FINAL
3 Grand Rapids Griffins
14-12-3, 31pts
Team Stats
OTL1SéquenceW1
3-11-1Fiche domicile7-6-1
5-9-1Fiche domicile7-6-2
1-7-2Derniers 10 matchs4-5-1
3.50Buts par match 4.07
5.03Buts contre par match 4.28
32.98%Pourcentage en avantage numérique36.00%
42.67%Pourcentage en désavantage numérique57.83%
Springfield Thunderbirds
13-11-5, 31pts
1
FINAL
0 Toronto Marlies
8-20-2, 18pts
Team Stats
W1SéquenceOTL1
9-3-2Fiche domicile3-11-1
4-8-3Fiche domicile5-9-1
4-5-1Derniers 10 matchs1-7-2
3.62Buts par match 3.50
3.69Buts contre par match 5.03
38.37%Pourcentage en avantage numérique32.98%
63.64%Pourcentage en désavantage numérique42.67%
Meneurs d'équipe
Kyle CliffordButs
Kyle Clifford
19
Passes
Pontus Holmberg
26
Points
Pontus Holmberg
42
Plus/Moins
Ryan Tverberg
3
Keith PetruzzelliVictoires
Keith Petruzzelli
4
Maxime LagacePourcentage d’arrêts
Maxime Lagace
0.85

Statistiques d’équipe
Buts pour
105
3.50 GFG
Tirs pour
731
24.37 Avg
Pourcentage en avantage numérique
33.0%
31 GF
Début de zone offensive
34.5%
Buts contre
151
5.03 GAA
Tirs contre
895
29.83 Avg
Pourcentage en désavantage numérique
42.7%%
43 GA
Début de la zone défensive
33.2%
Informations de l'équipe

Directeur généralHenrik Jitelius Järnbrand
EntraîneurSheldon Keefe
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,814
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 60
Espoirs22


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
1Pontus Holmberg0X100.005330926759749359326464643035375063590251827,500$
2Nicholas Robertson0X97.005030997148754957555958673733346544570222796,667$
3Matthew Knies (R)0X100.006241995387803755306052673030327235560213925,000$
4Semyon Der-Arguchintsev (R)0X100.005030956544677355405452503032355842520231775,000$
5Danny O'Regan0X98.003130964849658560405546333040442966480301775,000$
6Aidan Dudas (R)0X100.003130795438659051304342363032355743440231775,000$
7Max Ellis (R)0X100.003030925242627143303838453032355446430242838,750$
8Shane Gersich0X100.003530954256537444304038473036413243430271775,000$
9Nick Hutchison0X97.466430873085485538403535443037422934420291775,000$
10T.J. Friedmann0X100.003130993857403129302930413034384443360261775,000$
11Sean Josling0X100.003042534052403930303030413033364941360251775,000$
12Marshall Rifai0X100.003668294156648843303833463034384447450261775,000$
13Mikko Kokkonen (R)0X99.005130863668506035303429433031336347430233846,667$
14Axel Rindell (R)0X100.004230993661423430303030413031345839390242838,750$
15Jalen Smereck0X100.004030923659403832303330433034384039390271775,000$
16Cliff Watson0X100.004030973263413832303330383038443040390301775,000$
17Topi Niemela (R)0X100.002930994853423430303231413030326955380223856,667$
Rayé
1Kyle Clifford0X95.578257495088687555306654503088672929590332775,000$
2Anthony Beauregard0X100.003030994332403731403032423036413037360281775,000$
3Charlie Gerard0X100.003030993745473429302929423037422936360281775,000$
4Dmitry Ovchinnikov (R)0X100.003030995039453229302930393030326835360212835,000$
5Ryan Tverberg (R)0X98.714030994060403529302930403030326533360221775,000$
6Max Lajoie0X76.665138675369658558305651523039413943540261775,000$
7William Lagesson0X91.545735753581658450354638543040423341520281775,000$
8William Villeneuve (R)0X94.543230845164587546304632483030326819460223817,778$
MOYENNE D’ÉQUIPE97.94423486465855584233423946303638484245
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
1Maxime Lagace098.00428464704157525356303041592933520311775,000$
2Keith Petruzzelli0100.00467150854448485148423033445259500252817,500$
Rayé
1Dennis Hildeby (R)0100.00305231993029333032303030386649390223843,333$
MOYENNE D’ÉQUIPE99.3339694885384544454534303547494747
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe2525252512550CAN421500,000$


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
1Pontus HolmbergToronto Marlies (TOR)RW27162642-9955257109365514.68%1856320.89581317560000162144.00%752711011.4900001131
2Kyle CliffordToronto Marlies (TOR)LW27191534-195430595287294421.84%1457321.25741114480000242055.81%861911011.1900222111
3Danny O'ReganToronto Marlies (TOR)RW30111930-220324178254614.10%1155518.532911559000071060.00%251815011.0800000012
4Semyon Der-ArguchintsevToronto Marlies (TOR)C24101929-1020366454183218.52%1150320.9837107510000290149.91%53786001.1500000200
5Nicholas RobertsonToronto Marlies (TOR)LW23121628-940285975203816.00%1645519.8142612430000150056.59%2052316011.2300000210
6Max LajoieToronto Marlies (TOR)D2922123-420038495118163.92%3970724.3929111182000241000%01619000.6500000001
7Aidan DudasToronto Marlies (TOR)LW3010818-1040444455123218.18%1353117.731121210001231037.42%155119010.6800000101
8Matthew KniesToronto Marlies (TOR)LW189615-1600212946133619.57%1030316.87426927000182042.86%631212000.9900000110
9Nick HutchisonToronto Marlies (TOR)C276814-360454933101418.18%945716.93011237000070048.00%225011000.6100000000
10Max EllisToronto Marlies (TOR)RW303912-80022383322169.09%844514.86000012000000033.33%15106000.5400000001
11William LagessonToronto Marlies (TOR)D29178-3421046453016143.33%3470624.35123282000038000%0411000.2300100000
12Shane GersichToronto Marlies (TOR)LW30257-52021311641212.50%1240413.480000340000120030.00%6025000.3500000000
13William VilleneuveToronto Marlies (TOR)D27066-304072826870%2456520.93000141000029000%0312000.2100000000
14Marshall RifaiToronto Marlies (TOR)D30145-275410503820575.00%2762620.87101248000020000%0217000.1600110000
15Mikko KokkonenToronto Marlies (TOR)D30022-58015242310%1944214.760110900009000%0010000.0900000000
16Dmitry OvchinnikovToronto Marlies (TOR)LW25202-60081772328.57%72128.51101170000150035.71%1432000.1900000000
17Topi NiemelaToronto Marlies (TOR)D30011-1001173040%1544114.7200005000024000%019000.0500000000
18Ryan TverbergToronto Marlies (TOR)LW221013007931233.33%31547.0400009000000046.43%2811000.1300000000
19Anthony BeauregardToronto Marlies (TOR)C1000000000000%077.330000000000000%10000000000000
20T.J. FriedmannToronto Marlies (TOR)LW15000-100142010%1795.3300005000020060.00%50000000000000
21Charlie GerardToronto Marlies (TOR)RW15000-300101000%0553.72000010000000100.00%40000000000000
22Sean JoslingToronto Marlies (TOR)RW16000000240000%1281.800000000000000%00000000000000
23Axel RindellToronto Marlies (TOR)D1000000010000%32020.130000000000000%00000000000000
24Jalen SmereckToronto Marlies (TOR)D1000-100000000%21919.950000000000000%00000000000000
25Cliff WatsonToronto Marlies (TOR)D3000100010210%15618.740000400000000%00100000000000
Statistiques d’équipe totales ou en moyenne540105172277-1682115553670173124438114.36%298892016.523146778469200043278248.13%1498160184050.6200433877
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
1Keith PetruzzelliToronto Marlies (TOR)164810.8225.63736006938722540001313000
2Maxime LagaceToronto Marlies (TOR)1631210.8504.2389300634202391000161001
3Dennis HildebyToronto Marlies (TOR)71000.7846.75169001988600000116000
Statistiques d’équipe totales ou en moyenne3982020.8315.041799001518955245003030001


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 Forcer UFA Rappel d'urgence 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
Aidan DudasToronto Marlies (TOR)LW232000-06-15Yes170 Lbs5 ft8NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Anthony BeauregardToronto Marlies (TOR)C281995-11-15No165 Lbs5 ft7NoNoFree AgentNoNo12024-05-12FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Axel RindellToronto Marlies (TOR)D242000-04-23Yes192 Lbs6 ft0NoNoFree AgentNoNo22024-05-16FalseFalsePro & Farm838,750$0$0$No838,750$--------No--------Lien NHL
Charlie GerardToronto Marlies (TOR)RW281995-11-19No176 Lbs5 ft10NoNoFree AgentNoNo12024-04-10FalseFalsePro & Farm775,000$0$0$No------------------
Cliff WatsonToronto Marlies (TOR)D301993-12-21No190 Lbs6 ft2NoNoFree AgentNoNo12024-05-13FalseFalsePro & Farm775,000$0$0$No------------------
Danny O'ReganToronto Marlies (TOR)RW301994-01-30No181 Lbs5 ft10NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Dennis HildebyToronto Marlies (TOR)G222001-08-19Yes223 Lbs6 ft7NoNoTrade2024-02-24NoNo32024-02-03FalseFalsePro & Farm843,333$0$0$No843,333$843,333$-------NoNo-------Lien / Lien NHL
Dmitry OvchinnikovToronto Marlies (TOR)LW212002-08-19Yes165 Lbs5 ft10NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm835,000$0$0$No835,000$--------No--------Lien
Jalen SmereckToronto Marlies (TOR)D271997-01-15No190 Lbs6 ft0NoNoFree AgentNoNo12024-05-16FalseFalsePro & Farm775,000$0$0$No------------------
Keith PetruzzelliToronto Marlies (TOR)G251999-02-09No190 Lbs6 ft6NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm817,500$0$0$No817,500$--------No--------Lien / Lien NHL
Kyle Clifford (contrat à 1 volet)Toronto Marlies (TOR)LW331991-01-13No218 Lbs6 ft2NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Marshall RifaiToronto Marlies (TOR)D261998-03-16No185 Lbs6 ft0NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien
Matthew KniesToronto Marlies (TOR)LW212002-10-17Yes217 Lbs6 ft3NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Max EllisToronto Marlies (TOR)RW242000-01-18Yes172 Lbs5 ft9NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm838,750$0$0$No838,750$--------No--------Lien
Max LajoieToronto Marlies (TOR)D261997-11-05No191 Lbs6 ft1NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien
Maxime LagaceToronto Marlies (TOR)G311993-01-12No190 Lbs6 ft2NoNoFree AgentNoNo12024-03-21FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Mikko KokkonenToronto Marlies (TOR)D232001-01-18Yes201 Lbs6 ft0NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------NoNo-------Lien
Nicholas RobertsonToronto Marlies (TOR)LW222001-09-11No178 Lbs5 ft9NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm796,667$0$0$No796,667$--------No--------Lien / Lien NHL
Nick HutchisonToronto Marlies (TOR)C291995-04-27No214 Lbs6 ft4NoNoFree AgentNoNo12024-03-03FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Pontus HolmbergToronto Marlies (TOR)RW251999-03-09No188 Lbs6 ft0NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm827,500$0$0$No------------------Lien
Ryan TverbergToronto Marlies (TOR)LW222002-01-30Yes190 Lbs6 ft0NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien
Sean JoslingToronto Marlies (TOR)RW251999-03-22No179 Lbs6 ft0NoNoFree AgentNoNo12024-03-12FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Semyon Der-ArguchintsevToronto Marlies (TOR)C232000-09-15Yes173 Lbs5 ft10NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Shane GersichToronto Marlies (TOR)LW271996-07-10No185 Lbs6 ft0NoNoFree AgentNoNo12024-03-03FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
T.J. FriedmannToronto Marlies (TOR)LW261998-02-27No181 Lbs6 ft2NoNoFree AgentNoNo12024-04-10FalseFalsePro & Farm775,000$0$0$No------------------
Topi NiemelaToronto Marlies (TOR)D222002-03-25Yes179 Lbs6 ft0NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm856,667$0$0$No856,667$856,667$-------NoNo-------Lien
William LagessonToronto Marlies (TOR)D281996-02-22No207 Lbs6 ft2NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
William VilleneuveToronto Marlies (TOR)D222002-03-20Yes183 Lbs6 ft2NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm817,778$0$0$No817,778$817,778$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.46188 Lbs6 ft01.57800,665$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew KniesNicholas Robertson40122
2Pontus HolmbergNick HutchisonDanny O'Regan30122
3Semyon Der-ArguchintsevAidan DudasMax Ellis20122
4Aidan DudasNicholas RobertsonDanny O'Regan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen SmereckAxel Rindell40122
2Cliff WatsonMarshall Rifai30122
3Mikko KokkonenTopi Niemela20122
4Mikko KokkonenMarshall Rifai10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max EllisMatthew Knies60122
2Nicholas RobertsonAidan DudasDanny O'Regan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Topi NiemelaCliff Watson60122
2Mikko KokkonenMarshall Rifai40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Aidan DudasNicholas Robertson60122
2Danny O'ReganMatthew Knies40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko KokkonenJalen Smereck60122
2Topi NiemelaMarshall Rifai40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Danny O'Regan60122Topi NiemelaMikko Kokkonen60122
2Nicholas Robertson40122Axel RindellMarshall Rifai40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew KniesNicholas Robertson60122
2Danny O'ReganAidan Dudas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikko KokkonenTopi Niemela60122
2Axel RindellMarshall Rifai40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew KniesNicholas RobertsonDanny O'ReganMarshall RifaiMikko Kokkonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew KniesNicholas RobertsonDanny O'ReganMarshall RifaiMikko Kokkonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicholas Robertson, Aidan Dudas, Danny O'ReganDanny O'Regan, Aidan DudasDanny O'Regan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikko Kokkonen, Topi Niemela, Marshall RifaiMikko KokkonenTopi Niemela, Marshall Rifai
Tirs de pénalité
Nicholas Robertson, Danny O'Regan, Matthew Knies, Max Ellis, Aidan Dudas
Gardien
#1 : Keith Petruzzelli, #2 : Maxime Lagace
Lignes d’attaque personnalisées en prolongation
Matthew Knies, Pontus Holmberg, Nick Hutchison, Semyon Der-Arguchintsev, Nicholas Robertson, Danny O'Regan, Danny O'Regan, Aidan Dudas, , Shane Gersich, Max Ellis
Lignes de défense personnalisées en prolongation
Jalen Smereck, Cliff Watson, Topi Niemela, Marshall Rifai, Mikko Kokkonen


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
1Belleville Senators211000007701010000024-21100000053220.50071219001644441341483372433863215339333.33%5260.00%025751549.90%22649645.56%23848249.38%539237607302655331
2Bridgeport Islanders20200000711-41010000024-21010000057-200.00071017001644441481483372433581412398337.50%6433.33%025751549.90%22649645.56%23848249.38%539237607302655331
3Charlotte Checkers20200000310-71010000015-41010000025-300.000347001644441361483372433661713268225.00%4250.00%025751549.90%22649645.56%23848249.38%539237607302655331
4Cleveland Monsters20101000912-3100010006511010000037-420.50091221001644441651483372433611664111436.36%330.00%025751549.90%22649645.56%23848249.38%539237607302655331
5Grand Rapids Griffins21100000711-41010000028-61100000053220.50071219001644441401483372433752513467342.86%4250.00%025751549.90%22649645.56%23848249.38%539237607302655331
6Hartford Wolf Pack2010010026-41010000014-31000010012-110.2502350016444412514833724332698292150.00%4325.00%025751549.90%22649645.56%23848249.38%539237607302655331
7Hershey Bears21100000770110000004311010000034-120.5007132000164444159148337243372268405120.00%4175.00%025751549.90%22649645.56%23848249.38%539237607302655331
8Laval Rocket220000001798110000009631100000083541.000173047001644441601483372433542118329555.56%4175.00%025751549.90%22649645.56%23848249.38%539237607302655331
9Lehigh Valley Phantoms211000001013-31010000048-41100000065120.500101828001644441711483372433662239375240.00%7442.86%025751549.90%22649645.56%23848249.38%539237607302655331
10Providence Bruins21100000151321010000056-111000000107320.5001523380016444417614833724336927114511436.36%3233.33%025751549.90%22649645.56%23848249.38%539237607302655331
11Rochester Americans20200000618-121010000038-510100000310-700.00061016001644441611483372433832223415120.00%9633.33%025751549.90%22649645.56%23848249.38%539237607302655331
12Springfield Thunderbirds2010010057-21000010001-11010000056-110.250581300164444143148337243338218266116.67%4325.00%025751549.90%22649645.56%23848249.38%539237607302655331
13Syracuse Crunch2020000037-41010000023-11010000014-300.00035800164444138148337243342171235000%6350.00%025751549.90%22649645.56%23848249.38%539237607302655331
14Utica Comets2020000027-51010000014-31010000013-200.000224001644441331483372433389830300.00%4250.00%025751549.90%22649645.56%23848249.38%539237607302655331
15Wilkes-Barre/Scranton Penguins20200000513-81010000027-51010000036-300.00051015001644441421483372433612017365120.00%8537.50%025751549.90%22649645.56%23848249.38%539237607302655331
Total3072001200105151-4615211011004476-321559001006175-14180.3001051722770016444417311483372433895298211536943132.98%754342.67%025751549.90%22649645.56%23848249.38%539237607302655331
_Since Last GM Reset3072001200105151-4615211011004476-321559001006175-14180.3001051722770016444417311483372433895298211536943132.98%754342.67%025751549.90%22649645.56%23848249.38%539237607302655331
_Vs Conference3072001200105151-4615211011004476-321559001006175-14180.3001051722770016444417311483372433895298211536943132.98%754342.67%025751549.90%22649645.56%23848249.38%539237607302655331
_Vs Division1449010005875-17715010002440-16734000003435-1100.35758961540016444413451483372433475161105258491836.73%351848.57%025751549.90%22649645.56%23848249.38%539237607302655331

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3018OTL110517227773189529821153600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
307201200105151
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1521111004476
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
155901006175
Derniers 10 matchs
WLOTWOTL SOWSOL
170200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
943132.98%754342.67%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
14833724331644441
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
25751549.90%22649645.56%23848249.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
539237607302655331


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
15Toronto Marlies10Providence Bruins7WSommaire du match
316Toronto Marlies3Cleveland Monsters7LSommaire du match
529Cleveland Monsters5Toronto Marlies6WXSommaire du match
848Toronto Marlies3Rochester Americans10LSommaire du match
1062Laval Rocket6Toronto Marlies9WSommaire du match
1382Toronto Marlies6Lehigh Valley Phantoms5WSommaire du match
1492Hershey Bears3Toronto Marlies4WSommaire du match
18113Lehigh Valley Phantoms8Toronto Marlies4LSommaire du match
22140Rochester Americans8Toronto Marlies3LSommaire du match
26167Belleville Senators4Toronto Marlies2LSommaire du match
31195Toronto Marlies3Wilkes-Barre/Scranton Penguins6LSommaire du match
32202Providence Bruins6Toronto Marlies5LSommaire du match
34222Wilkes-Barre/Scranton Penguins7Toronto Marlies2LSommaire du match
37238Toronto Marlies2Charlotte Checkers5LSommaire du match
40259Charlotte Checkers5Toronto Marlies1LSommaire du match
42276Toronto Marlies8Laval Rocket3WSommaire du match
45291Hartford Wolf Pack4Toronto Marlies1LSommaire du match
47306Toronto Marlies5Belleville Senators3WSommaire du match
49321Toronto Marlies5Springfield Thunderbirds6LSommaire du match
50327Syracuse Crunch3Toronto Marlies2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
53343Toronto Marlies1Syracuse Crunch4LSommaire du match
55360Utica Comets4Toronto Marlies1LSommaire du match
56366Toronto Marlies5Bridgeport Islanders7LSommaire du match
59388Bridgeport Islanders4Toronto Marlies2LSommaire du match
62408Toronto Marlies1Hartford Wolf Pack2LXSommaire du match
64415Grand Rapids Griffins8Toronto Marlies2LSommaire du match
65421Toronto Marlies1Utica Comets3LSommaire du match
67437Toronto Marlies3Hershey Bears4LSommaire du match
69443Toronto Marlies5Grand Rapids Griffins3WSommaire du match
72466Springfield Thunderbirds1Toronto Marlies0LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance28,25713,952
Assistance PCT94.19%93.01%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2814 - 93.80% 119,029$1,785,428$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,215,523$ 2,164,362$ 2,164,362$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,722,274$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 36,005$ 36,005$




Toronto 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

Toronto 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

Toronto 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

Toronto 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

Toronto 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