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Toronto Marlies
GP: 7 | W: 3 | L: 4
GF: 23 | GA: 20 | PP%: 28.57% | PK%: 75.00%
DG: Dale Lautner | Morale : 33 | Moyenne d’équipe : 60
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Centre de jeu
Toronto Marlies
3-4-0, 6pts
5
FINAL
4 Laval Rocket
6-7-0, 12pts
Team Stats
OTL1StreakL1
2-2-0Home Record2-4-0
1-2-0Away Record4-3-0
3-2-2Last 10 Games5-3-2
3.29Buts par match 2.77
2.86Buts contre par match 3.15
28.57%Pourcentage en avantage numérique18.75%
75.00%Pourcentage en désavantage numérique80.00%
Laval Rocket
6-7-0, 12pts
3
FINAL
2 Toronto Marlies
3-4-0, 6pts
Team Stats
L1StreakOTL1
2-4-0Home Record2-2-0
4-3-0Away Record1-2-0
5-3-2Last 10 Games3-2-2
2.77Buts par match 3.29
3.15Buts contre par match 2.86
18.75%Pourcentage en avantage numérique28.57%
80.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
David KampfButs
David Kampf
6
Mike HoffmanPasses
Mike Hoffman
8
Mike HoffmanPoints
Mike Hoffman
12
David KampfPlus/Moins
David Kampf
6
Alex StalockVictoires
Alex Stalock
3
Alex StalockPourcentage d’arrêts
Alex Stalock
0.913

Statistiques d’équipe
Buts pour
23
3.29 GFG
Tirs pour
254
36.29 Avg
Pourcentage en avantage numérique
28.6%
2 GF
Début de zone offensive
38.8%
Buts contre
20
2.86 GAA
Tirs contre
229
32.71 Avg
Pourcentage en désavantage numérique
75.0%%
2 GA
Début de la zone défensive
35.8%
Informations de l'équipe

Directeur généralDale Lautner
DivisionNorth Division
ConférenceWestern Conference
CapitaineAustin Czarnik
Assistant #1Karson Kuhlman
Assistant #2Derek Ryan


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 65
Espoirs30


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
1Mike Hoffman0XX100.00503582875997817655646855558069076670334885,000$
2David Kampf0X100.006035888563919965785561775568720766702821,500,000$
3Mason Appleton0XX100.005943838665908266555660685565680766502741,150,000$
4Derek Ryan (A)0XX100.005035928755809566745361665588720776503611,650,000$
5Austin Czarnik (C)0X100.00503595824967706955615872557372076630303750,000$
6Chris Tierney0X100.005235908762838965705457585568670766202842,300,000$
7Dominic Toninato0X100.00643587836471976165475762557069076620292925,000$
8Karson Kuhlman (A)0XX100.00733591855681776355535664556571076620271825,000$
9Cedric Paquette0XX100.009051678264728760554750635570700766102921,400,000$
10Ben Jones (R)0X100.00503568825965705750455058555858073560242750,000$
11Ryan Suzuki (R)0X100.00513575775769684853535354476048076550224863,333$
12Joachim Blichfeld (R)0XX100.00593575785466665450515351506048073550244933,333$
13Zac Rinaldo0XX100.00613575736066675145505051466048022540332750,000$
14Jamieson Rees (R)0X100.00583575775666655253515252456048024540223839,167$
15Danila Klimovich (R)0X100.00603575706570694645545253496048022540205886,667$
16Jake McCabe0X100.008543838562949458406058624070720766802922,000,000$
17Troy Stecher0X100.00634383875186565740465566407068076620294750,000$
18Ryan Murray0X100.00583594876280516040495065407069071620294750,000$
19Ben Harpur0X100.007759608379677050404450624068630766202821,150,000$
20Cale Fleury0X100.00593595826467705040405071405867076620242750,000$
21Fredrik Claesson0X100.00523595826065645540405060407367022590302750,000$
22Matthew Robertson (R)0X100.00623575735065645454535555407358024570223797,500$
23Ville Pokka0X100.00613575716351624950535255407358022560292750,000$
24Jesse Blacker0X100.00533575746459685350505452407358076560322750,000$
25David Farrance (R)0X100.00523575705254624854485353407358022540241750,000$
Rayé
1Chase Lang (R)0XX100.00565555555758585550555555556568019540262750,000$
2John Beecher (R)0X100.00504080706070705040505050405050020530226925,000$
3Filip Sandberg0XX100.00454545454545454545354545454545020420282750,000$
4Jesse Graham0X100.00504545454645474525454545255454020450292750,000$
MOYENNE D’ÉQUIPE100.0059397877597071565150545947666105558
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
1Alex Stalock0100.0082705691967575757596528581065780353750,000$
2Igor Bobkov0100.00757575869073717670674778620787303211,200,000$
Rayé
1Philippe Desrosiers0100.0075757588807074717168507367021720274750,000$
2Ilya Konovalov (R)0100.0075757579846771676670487172022700243842,500$
3Marek Langhamer0100.0075757582787068677068466668022700282900,000$
MOYENNE D’ÉQUIPE100.007674718586717271707449757004273
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mike HoffmanToronto Marlies (TOR)C/LW74812600844319199.30%216824.1001135000070280.00%10125001.4200000210
2Mason AppletonToronto Marlies (TOR)C/RW727950015173013176.67%615922.7502215000031046.15%1352001.1300000001
3David KampfToronto Marlies (TOR)C763960011163071020.00%516623.7710115000070063.90%20545011.0800000110
4Cedric PaquetteToronto Marlies (TOR)C/LW7235-1602513135715.38%312117.3100014000000085.71%723000.8300000000
5Austin CzarnikToronto Marlies (TOR)C7235000710275257.41%512918.5300000000030055.17%2972000.7700000000
6Derek RyanToronto Marlies (TOR)C/RW7235-100412277207.41%312017.1500014000001063.89%72102000.8300000000
7Jake McCabeToronto Marlies (TOR)D7033020161215930.00%1019728.210000600006000.00%0910000.3000000001
8Troy StecherToronto Marlies (TOR)D7123200111411299.09%817024.420000400007000.00%0510100.3500000010
9Cale FleuryToronto Marlies (TOR)D7123-1004766216.67%612517.951121600001100.00%005000.4800000000
10Karson KuhlmanToronto Marlies (TOR)C/RW7123-1001310198115.26%112017.1500004000000033.33%341000.5000000001
11Dominic ToninatoToronto Marlies (TOR)C7022-1004914580.00%49113.0200000000000059.62%5264000.4400000000
12Jamieson ReesToronto Marlies (TOR)C7101-20042110100.00%1527.480000000000000.00%001000.3800000000
13Ryan SuzukiToronto Marlies (TOR)C7101000114107100.00%19012.860000000001000.00%235000.2200000000
14Ben HarpurToronto Marlies (TOR)D70112201066220.00%913118.750000000004000.00%007000.1500000000
15Chris TierneyToronto Marlies (TOR)C7000-200347340.00%1527.550000000000000.00%131000.00%00000000
16Zac RinaldoToronto Marlies (TOR)C/LW7000000000000.00%030.450000000000000.00%000000.00%00000000
17Ville PokkaToronto Marlies (TOR)D7000000010000.00%050.820000000000000.00%000000.00%00000000
18Jesse BlackerToronto Marlies (TOR)D7000140311110.00%19313.380000000000000.00%004000.00%00000000
19Danila KlimovichToronto Marlies (TOR)RW7000000000000.00%020.290000000000000.00%000000.00%00000000
20Matthew RobertsonToronto Marlies (TOR)D7000220513330.00%913719.580000400005000.00%016000.00%00000000
Statistiques d’équipe totales ou en moyenne14023396215160154143254961489.06%75213815.282468520000513262.18%3947173110.5800000333
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
1Alex StalockToronto Marlies (TOR)73220.9132.804280020229118000.00%070000
Statistiques d’équipe totales ou en moyenne73220.9132.80428002022911800070000


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial 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 10Link
Alex StalockToronto Marlies (TOR)G357/28/1987No170 Lbs5 ft11NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Austin CzarnikToronto Marlies (TOR)C3012/12/1992No170 Lbs5 ft9NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Ben HarpurToronto Marlies (TOR)D281/12/1995No231 Lbs6 ft6NoNoNoNo2Pro & Farm1,150,000$0$0$No1,150,000$Lien / Lien NHL
Ben JonesToronto Marlies (TOR)C242/26/1999Yes187 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Cale FleuryToronto Marlies (TOR)D2411/19/1998No213 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Cedric PaquetteToronto Marlies (TOR)C/LW298/13/1993No205 Lbs6 ft0NoNoNoNo2Pro & Farm1,400,000$0$0$No1,400,000$Lien
Chase LangToronto Marlies (TOR)C/RW269/13/1996Yes187 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$
Chris TierneyToronto Marlies (TOR)C287/1/1994No191 Lbs6 ft1NoNoNoNo4Pro & Farm2,300,000$0$0$No2,300,000$2,300,000$2,300,000$Lien / Lien NHL
Danila KlimovichToronto Marlies (TOR)RW201/9/2003Yes202 Lbs6 ft2NoNoNoNo5Pro & Farm886,667$0$0$No886,667$886,667$886,667$886,667$Lien
David FarranceToronto Marlies (TOR)D246/23/1999Yes189 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$No
David KampfToronto Marlies (TOR)C281/12/1995No193 Lbs6 ft1NoNoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien / Lien NHL
Derek RyanToronto Marlies (TOR)C/RW3612/29/1986No185 Lbs5 ft10NoNoNoNo1Pro & Farm1,650,000$0$0$NoLien / Lien NHL
Dominic ToninatoToronto Marlies (TOR)C293/9/1994No191 Lbs6 ft2NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Filip SandbergToronto Marlies (TOR)C/RW287/23/1994 11:23:08 AMNo190 Lbs5 ft9NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Fredrik ClaessonToronto Marlies (TOR)D3011/24/1992No196 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Igor BobkovToronto Marlies (TOR)G321/2/1991No230 Lbs6 ft6NoNoNoNo1Pro & Farm1,200,000$0$0$NoLien
Ilya KonovalovToronto Marlies (TOR)G247/13/1998Yes194 Lbs6 ft0NoNoNoNo3Pro & Farm842,500$0$0$No842,500$842,500$Lien
Jake McCabeToronto Marlies (TOR)D2910/12/1993No204 Lbs6 ft1NoNoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$Lien / Lien NHL
Jamieson ReesToronto Marlies (TOR)C222/26/2001Yes172 Lbs5 ft11NoNoNoNo3Pro & Farm839,167$0$0$No839,167$839,167$Lien
Jesse BlackerToronto Marlies (TOR)D324/19/1991No190 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Jesse GrahamToronto Marlies (TOR)D295/13/1994No184 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Joachim BlichfeldToronto Marlies (TOR)LW/RW247/17/1998Yes180 Lbs6 ft2NoNoNoNo4Pro & Farm933,333$0$0$No933,333$933,333$933,333$Lien
John BeecherToronto Marlies (TOR)C224/5/2001Yes210 Lbs6 ft3NoNoNoNo6Pro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$925,000$Lien
Karson KuhlmanToronto Marlies (TOR)C/RW279/26/1995No190 Lbs5 ft10NoNoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Marek LanghamerToronto Marlies (TOR)G287/22/1994No193 Lbs6 ft2NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Mason AppletonToronto Marlies (TOR)C/RW271/15/1996No193 Lbs6 ft2NoNoNoNo4Pro & Farm1,150,000$0$0$No1,150,000$1,150,000$1,150,000$Lien / Lien NHL
Matthew RobertsonToronto Marlies (TOR)D223/9/2001Yes201 Lbs6 ft4NoNoNoNo3Pro & Farm797,500$0$0$No797,500$797,500$Lien
Mike HoffmanToronto Marlies (TOR)C/LW3311/24/1989No184 Lbs6 ft0NoNoNoNo4Pro & Farm885,000$0$0$No885,000$885,000$885,000$Lien / Lien NHL
Philippe DesrosiersToronto Marlies (TOR)G278/16/1995No196 Lbs5 ft2NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien
Ryan MurrayToronto Marlies (TOR)D299/27/1993No206 Lbs6 ft1NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien / Lien NHL
Ryan SuzukiToronto Marlies (TOR)C225/28/2001Yes176 Lbs6 ft0NoNoNoNo4Pro & Farm863,333$0$0$No863,333$863,333$863,333$Lien
Troy StecherToronto Marlies (TOR)D294/7/1994No184 Lbs5 ft10NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien / Lien NHL
Ville PokkaToronto Marlies (TOR)D296/3/1994No214 Lbs5 ft10NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Zac RinaldoToronto Marlies (TOR)C/LW336/15/1990No192 Lbs5 ft10NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3427.62194 Lbs6 ft02.71977,132$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HoffmanDavid KampfMason Appleton40122
2Cedric PaquetteDerek RyanKarson Kuhlman30122
3Austin CzarnikDominic ToninatoRyan Suzuki20122
4Jamieson ReesAustin CzarnikChris Tierney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeTroy Stecher40122
2Matthew RobertsonBen Harpur30122
3Cale FleuryJesse Blacker20122
4Jake McCabeCale Fleury10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HoffmanDavid KampfMason Appleton60122
2Cedric PaquetteDerek RyanKarson Kuhlman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeCale Fleury60122
2Matthew RobertsonTroy Stecher40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David KampfMike Hoffman60122
2Austin CzarnikMason Appleton40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeTroy Stecher60122
2Matthew RobertsonBen Harpur40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Kampf60122Jake McCabeTroy Stecher60122
2Austin Czarnik40122Matthew RobertsonBen Harpur40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1David KampfMike Hoffman60122
2Derek RyanMason Appleton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeTroy Stecher60122
2Matthew RobertsonBen Harpur40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HoffmanDavid KampfMason AppletonJake McCabeTroy Stecher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HoffmanDavid KampfAustin CzarnikJake McCabeTroy Stecher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dominic Toninato, David Kampf, Ryan SuzukiDominic Toninato, David KampfRyan Suzuki
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesse Blacker, Jake McCabe, Cale FleuryJesse BlackerJake McCabe, Cale Fleury
Tirs de pénalité
Mike Hoffman, Jamieson Rees, Mason Appleton, Derek Ryan, Austin Czarnik
Gardien
#1 : Alex Stalock, #2 : Igor Bobkov
Lignes d’attaque personnalisées en prolongation
Mike Hoffman, David Kampf, Mason Appleton, Derek Ryan, Austin Czarnik, Chris Tierney, Chris Tierney, Dominic Toninato, Karson Kuhlman, Cedric Paquette, Jamieson Rees
Lignes de défense personnalisées en prolongation
Jake McCabe, Troy Stecher, Matthew Robertson, Ben Harpur, Cale Fleury


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
1Laval Rocket7340000023203422000001394312000001011-160.4292339620011291254559991922975161547228.57%8275.00%09215360.13%9314165.96%6010060.00%157911386313467
Total7340000023203422000001394312000001011-160.4292339620011291254559991922975161547228.57%8275.00%09215360.13%9314165.96%6010060.00%157911386313467
_Since Last GM Reset7340000023203422000001394312000001011-160.4292339620011291254559991922975161547228.57%8275.00%09215360.13%9314165.96%6010060.00%157911386313467
_Vs Conference7340000023203422000001394312000001011-160.4292339620011291254559991922975161547228.57%8275.00%09215360.13%9314165.96%6010060.00%157911386313467

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76OTL1233962254229751615400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002320
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000139
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001011
Derniers 10 matchs
WLOTWOTL SOWSOL
320200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7228.57%8275.00%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
559991911291
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
9215360.13%9314165.96%6010060.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
157911386313467


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
1 - 2023-03-046Laval Rocket1Toronto Marlies3BWSommaire du match
2 - 2023-03-0514Laval Rocket2Toronto Marlies6BWSommaire du match
3 - 2023-03-0622Toronto Marlies2Laval Rocket3ALSommaire du match
4 - 2023-03-0730Toronto Marlies3Laval Rocket4ALSommaire du match
5 - 2023-03-0838Laval Rocket3Toronto Marlies2BLXSommaire du match
6 - 2023-03-0946Toronto Marlies5Laval Rocket4AWXSommaire du match
7 - 2023-03-1054Laval Rocket3Toronto Marlies2BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,322,250$ 3,322,250$ 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$




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