Connexion

TORONTO Marlies
GP: 4 | W: 1 | L: 3
GF: 11 | GA: 19 | PP%: 25.00% | PK%: 60.00%
DG: Marc-Antoine Côté | Morale : 72 | Moyenne d’équipe : 60
Prochains matchs #34 vs SYRACUSE Crunch
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Centre de jeu
SYRACUSE Crunch
3-1-0, 6pts
4
FINAL
3 TORONTO Marlies
1-3-0, 2pts
Team Stats
L1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-2-0
3-1-0Derniers 10 matchs1-2-1
4.75Buts par match 2.75
2.75Buts contre par match 4.75
40.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique60.00%
SYRACUSE Crunch
3-1-0, 6pts
3
FINAL
5 TORONTO Marlies
1-3-0, 2pts
Team Stats
L1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-2-0
3-1-0Derniers 10 matchs1-2-1
4.75Buts par match 2.75
2.75Buts contre par match 4.75
40.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique60.00%
TORONTO Marlies
1-3-0, 2pts
Jour 9
SYRACUSE Crunch
3-1-0, 6pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-1-0
1-2-110 derniers matchs3-1-0
2.75Buts par match 4.75
4.75Buts contre par match 4.75
25.00%Pourcentage en avantage numérique40.00%
60.00%Pourcentage en désavantage numérique75.00%
SYRACUSE Crunch
3-1-0, 6pts
Jour 11
TORONTO Marlies
1-3-0, 2pts
Statistiques d’équipe
L1SéquenceW1
2-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-2-0
3-1-010 derniers matchs1-2-1
4.75Buts par match 2.75
2.75Buts contre par match 2.75
40.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique60.00%
TORONTO Marlies
1-3-0, 2pts
Jour 13
SYRACUSE Crunch
3-1-0, 6pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-1-0
1-2-110 derniers matchs3-1-0
2.75Buts par match 4.75
4.75Buts contre par match 4.75
25.00%Pourcentage en avantage numérique40.00%
60.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Dylan SikuraButs
Dylan Sikura
3
Passes
Alex Alexeyev
3
Dylan SikuraPoints
Dylan Sikura
5
Dylan SikuraPlus/Moins
Dylan Sikura
3
Victoires
Jeremy Helvig
1
Pourcentage d’arrêts
Jeremy Helvig
0.897

Statistiques d’équipe
Buts pour
11
2.75 GFG
Tirs pour
120
30.00 Avg
Pourcentage en avantage numérique
25.0%
4 GF
Début de zone offensive
37.3%
Buts contre
19
4.75 GAA
Tirs contre
185
46.25 Avg
Pourcentage en désavantage numérique
60.0%%
6 GA
Début de la zone défensive
43.6%
Informations de l'équipe

Directeur généralMarc-Antoine Côté
EntraîneurTodd Reirden
DivisionNord
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 80
Espoirs33


Historique d'équipe

Saison actuelle1-3
Historique97-143-13 (0.383%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)1-3
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
1Tanner LaczynskiXX100.00664476717475676653606062665852085620262839,000$
2Greg McKeggXX100.00624470676673756260605664627060085610311750,000$
3Dylan SikuraXXX100.00544472715668686744646256665751085610281880,000$
4Rudolfs BalcersXX100.00624373706570686544595959655752085610261750,000$
5Cooper MarodyXX100.00614666716266656443645966655450085610272838,200$
6Brandon GignacX100.00604471706265646242615661635350085600262852,500$
7Connor ZaryX100.00614962706262616560636060655050085600223949,300$
8Daniel Torgersson (R)XX100.00614071626560616241565754605050085580213867,500$
9Brendan WarrenX100.00584069626264645840545454585350085570262852,500$
10Ryan McGregorX100.00554767695763625944525554615250085570242884,000$
11Cross Hanas (R)X100.00564068656059586041565654605050085570213859,167$
12Justin BarronX100.006449717479776469406862686856500876402221,017,500$
13Alex AlexeyevX100.00634776718379666740645870655650076630242949,700$
14William LagessonX100.00654369717171686640636070665750082630271825,000$
15Scott PerunovichX100.00554372726268606140635466635250087600253852,500$
16Brandon HickeyX100.00614567636564615540515263565550049570272852,500$
17Tobias GeisserX100.00585359576258545440525158535150085540241851,888$
Rayé
1Tyler SteenbergenX100.006135916170848959575860565765630216102500$
2Jens LookeX100.005270736171516059505555545550500215702600$
3Nathan NoelX100.004870675750464453575152545250500215302600$
4Ryan CollinsX100.008436825893636856305554604669650216102700$
MOYENNE D’ÉQUIPE100.0060467166676664614559576061555207159
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
1Jeremy Helvig100.0075686684747375747375746771081650261750,000$
2Nico Daws100.0073666875727375727371655150087640232935,000$
3Keith Petruzzelli (R)100.0069626365666668666666565150087610241750,000$
Rayé
MOYENNE D’ÉQUIPE100.007265667571717371717165565708563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden8275777361561USA513800,000$


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
1Dylan SikuraTORONTO Marlies (TOR)C/LW/RW43253605151541120.00%17819.62011110000001050.89%11200001.2700000001
2Alex AlexeyevTORONTO Marlies (TOR)D4033-2207712440%710526.34033613000012000%000000.5700000000
3Rudolfs BalcersTORONTO Marlies (TOR)LW/RW421330011482425.00%08220.66101110000030055.56%900000.7300000010
4Cooper MarodyTORONTO Marlies (TOR)C/RW4123-45581193711.11%17819.52112113000030025.00%1200000.7700001000
5Tanner LaczynskiTORONTO Marlies (TOR)C/RW4303-310013122201213.64%110726.81202913000090155.04%12900000.5600000100
6Justin BarronTORONTO Marlies (TOR)D4033-20018957140%610626.66022413000013000%000000.5600000000
7William LagessonTORONTO Marlies (TOR)D402217512126360%79122.9200031000008000%000000.4400010010
8Daniel TorgerssonTORONTO Marlies (TOR)LW/RW4022340832360%07819.62000110000000023.08%1300000.5100000000
9Greg McKeggTORONTO Marlies (TOR)C/LW4011100141110%1317.9800000000080053.66%4100000.6300000000
10Brandon GignacTORONTO Marlies (TOR)LW41011001120350.00%0235.950000000000000%100000.8400000000
11Tobias GeisserTORONTO Marlies (TOR)D4011-4001224250%126616.600000000005000%000000.3000000000
12Connor ZaryTORONTO Marlies (TOR)C4101-5405712298.33%16015.1100000000000052.73%5500000.3300000000
13Brendan WarrenTORONTO Marlies (TOR)LW4000-5203119160%16015.1100000000000075.00%40000000000000
14Ryan McGregorTORONTO Marlies (TOR)C4000-100011010%092.3800010000030050.00%60000000000000
15Scott PerunovichTORONTO Marlies (TOR)D40001951712230%49022.5300051000005000%00000000100000
16Cross HanasTORONTO Marlies (TOR)LW4000-100000000%110.300000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne64111728-14491510510612034929.17%43107216.764711321070000741151.17%38300000.5200111121
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
1Jeremy HelvigTORONTO Marlies (TOR)41210.8974.2926600191850000040000
Statistiques d’équipe totales ou en moyenne41210.8974.292660019185000040000


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 Salaire restantPlafond 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
Alex AlexeyevTORONTO Marlies (TOR)D241999-11-15No213 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm949,700$407,014$0$0$No949,700$--------No--------
Brandon GignacTORONTO Marlies (TOR)LW261997-11-07No185 Lbs5 ft11NoNoN/ANoNo22023-12-27FalseFalsePro & Farm852,500$365,357$0$0$No852,500$--------No--------Lien NHL
Brandon HickeyTORONTO Marlies (TOR)D271996-04-13No205 Lbs6 ft2NoNoN/ANoNo22023-12-27FalseFalsePro & Farm852,500$365,357$0$0$No852,500$--------No--------Lien NHL
Brendan WarrenTORONTO Marlies (TOR)LW261997-05-07No192 Lbs6 ft0NoNoN/ANoNo22023-12-27FalseFalsePro & Farm852,500$365,357$0$0$No852,500$--------No--------Lien NHL
Connor ZaryTORONTO Marlies (TOR)C222001-09-25No179 Lbs6 ft0NoNoN/ANoNo32023-12-27FalseFalsePro & Farm949,300$406,843$0$0$No949,300$949,300$-------NoNo-------Lien NHL
Cooper MarodyTORONTO Marlies (TOR)C/RW271996-12-20No183 Lbs6 ft0NoNoN/ANoNo22023-12-27FalseFalsePro & Farm838,200$359,229$0$0$No838,200$--------No--------Lien NHL
Cross HanasTORONTO Marlies (TOR)LW212002-01-05Yes172 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm859,167$368,214$0$0$No859,167$859,167$-------NoNo-------
Daniel TorgerssonTORONTO Marlies (TOR)LW/RW212002-01-26Yes198 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm867,500$371,786$0$0$No867,500$867,500$-------NoNo-------
Dylan SikuraTORONTO Marlies (TOR)C/LW/RW281995-06-01No170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm880,000$377,143$0$0$No------------------Lien NHL
Greg McKeggTORONTO Marlies (TOR)C/LW311992-06-17No194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$0$0$No------------------Lien NHL
Jens LookeTORONTO Marlies (TOR)RW261997-04-11No180 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien
Jeremy HelvigTORONTO Marlies (TOR)G261997-05-25No188 Lbs6 ft4NoNoN/ANoNo12024-01-03FalseFalsePro & Farm750,000$321,429$0$0$No------------------Lien
Justin BarronTORONTO Marlies (TOR)D222001-11-15No201 Lbs6 ft2NoNoN/ANoNo22023-12-27FalseFalsePro & Farm1,017,500$436,071$0$0$No1,017,500$--------No--------Lien NHL
Keith PetruzzelliTORONTO Marlies (TOR)G241999-02-09Yes181 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$0$0$No------------------Lien NHL
Nathan NoelTORONTO Marlies (TOR)C261997-06-21No174 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien
Nico DawsTORONTO Marlies (TOR)G232000-12-22No205 Lbs6 ft4NoNoN/ANoNo22023-12-27FalseFalsePro & Farm935,000$400,714$0$0$No935,000$--------No--------Lien NHL
Rudolfs BalcersTORONTO Marlies (TOR)LW/RW261997-04-08No181 Lbs5 ft11NoNoN/ANoNo12024-01-02FalseFalsePro & Farm750,000$321,429$0$0$No------------------Lien NHL
Ryan CollinsTORONTO Marlies (TOR)D271996-05-06No216 Lbs6 ft5NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien
Ryan McGregorTORONTO Marlies (TOR)C241999-01-29No168 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm884,000$378,857$0$0$No884,000$--------No--------Lien NHL
Scott PerunovichTORONTO Marlies (TOR)D251998-08-18No172 Lbs5 ft9NoNoN/ANoNo32023-12-27FalseFalsePro & Farm852,500$365,357$0$0$No852,500$852,500$-------NoNo-------Lien NHL
Tanner LaczynskiTORONTO Marlies (TOR)C/RW261997-06-01No190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm839,000$359,571$0$0$No839,000$--------No--------Lien NHL
Tobias GeisserTORONTO Marlies (TOR)D241999-02-13No201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm851,888$365,095$0$0$No------------------Lien NHL
Tyler SteenbergenTORONTO Marlies (TOR)LW251998-01-07No188 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien
William LagessonTORONTO Marlies (TOR)D271996-02-22No207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$353,571$0$0$No------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.17189 Lbs6 ft11.54712,761$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner LaczynskiCooper Marody40122
2Rudolfs BalcersDylan SikuraDaniel Torgersson30122
3Brandon GignacGreg McKeggTanner Laczynski20122
4Brendan WarrenConnor Zary10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronAlex Alexeyev40122
2William LagessonScott Perunovich30122
3Tobias Geisser20122
4Justin BarronAlex Alexeyev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner LaczynskiCooper Marody60122
2Rudolfs BalcersDylan SikuraDaniel Torgersson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronAlex Alexeyev60122
2William LagessonScott Perunovich40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner Laczynski60122
2Cooper MarodyRudolfs Balcers40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronAlex Alexeyev60122
2William LagessonScott Perunovich40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Laczynski60122Justin BarronAlex Alexeyev60122
240122William LagessonScott Perunovich40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner Laczynski60122
2Cooper MarodyRudolfs Balcers40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronAlex Alexeyev60122
2William LagessonScott Perunovich40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner LaczynskiCooper MarodyJustin BarronAlex Alexeyev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner LaczynskiCooper MarodyJustin BarronAlex Alexeyev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan McGregor, Cross Hanas, Greg McKeggRyan McGregor, Cross HanasGreg McKegg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Tobias Geisser, William LagessonTobias Geisser, William Lagesson
Tirs de pénalité
Tanner Laczynski, , Cooper Marody, Rudolfs Balcers, Dylan Sikura
Gardien
#1 : Jeremy Helvig, #2 : Nico Daws, #3 : Keith Petruzzelli


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
1SYRACUSE Crunch413000001119-82110000087120200000312-920.25011172800542012031433214185435110516425.00%15660.00%08214955.03%8017445.98%347644.74%9666115305626
Total413000001119-82110000087120200000312-920.25011172800542012031433214185435110516425.00%15660.00%08214955.03%8017445.98%347644.74%9666115305626
_Since Last GM Reset413000001119-82110000087120200000312-920.25011172800542012031433214185435110516425.00%15660.00%08214955.03%8017445.98%347644.74%9666115305626
_Vs Conference413000001119-82110000087120200000312-920.25011172800542012031433214185435110516425.00%15660.00%08214955.03%8017445.98%347644.74%9666115305626

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42W1111728120185435110500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
41300001119
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000087
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000312
Derniers 10 matchs
WLOTWOTL SOWSOL
120100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16425.00%15660.00%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
314332145420
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
8214955.03%8017445.98%347644.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9666115305626


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
12TORONTO Marlies2SYRACUSE Crunch3LSommaire du match
310TORONTO Marlies1SYRACUSE Crunch9LSommaire du match
518SYRACUSE Crunch4TORONTO Marlies3LXSommaire du match
726SYRACUSE Crunch3TORONTO Marlies5WSommaire du match
934TORONTO Marlies-SYRACUSE Crunch-
1142SYRACUSE Crunch-TORONTO Marlies-
1350TORONTO Marlies-SYRACUSE Crunch-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
51 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,710,626$ 1,710,626$ 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$ 6 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
1Cooper Marody18188111199152020935068412.87%65323317.8618294710400088452.91%31.2326
2Tanner Laczynski18179118197346433745568711.50%61375120.731019295801156254.17%61.0558
3William Lagesson210471431903610436626634913.47%279431820.571923421321122810%10.8801
4Dylan Sikura1787410317712211837463711.62%36342419.2416223812000028248.06%21.0324
5Alex Alexeyev18139120159913035422331512.38%244398722.031425391220114430%00.8011

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
1Jeremy Helvig1096235120.9072.96641910631733950730.67634
2Ken Appleby54311570.9003.1232366316816790010.6679
3Nico Daws60000.9640.981840038300100

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
Saison régulière
1482179000021681276-1108411390000182624-542410400000186652-566416828845600805335010103083063921194552681329654424.55%11372.73%026265839.82%336195017.23%403204819.68%5993983664416665206
1572313003512370399-2936141502212190213-2336171501300180186-6773706481018131631129142896876984101232253567946216351754928.00%1844277.17%11319250452.68%1060208250.91%729144950.31%178612851668483900451
161065334038533983217753281302721210165455325210113218815632133398702110046161121108143312110710191150663411103461722882928127.74%2725978.31%11729335651.52%1873362251.71%897171152.43%2488174425997631335660
Total Saison régulière260851430613679361996-10601304367049344821002-520130427602433454994-54021493616382574594042862341872182291230925541091540143941111488851113225.83%46710477.73%23310651850.78%3269765442.71%2029520838.96%487434287932166329021317
Séries éliminatoires
16413000001119-82110000087120200000312-9211172800542012031433214185435110516425.00%15660.00%08214955.03%8017445.98%347644.74%9666115305626
Total Séries éliminatoires413000001119-82110000087120200000312-9211172800542012031433214185435110516425.00%15660.00%08214955.03%8017445.98%347644.74%9666115305626

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
1Dylan Sikura4325365151520.00%17819.62011100001050.89%01.2700
2Rudolfs Balcers421330114825.00%08220.66101100000055.56%00.7300
3Cooper Marody4123-45811911.11%17819.52112100000025.00%00.7700
4Alex Alexeyev4033-2277120%710526.3403360000000%00.5700
5Tanner Laczynski4303-31013122213.64%110726.81202900000155.04%00.5600

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
1Jeremy Helvig41210.8974.29266001918500000