Connexion

Toronto Marlies
GP: 5 | W: 1 | L: 4
GF: 14 | GA: 18 | PP%: 42.86% | PK%: 55.56%
DG: Dale Lautner | Morale : 26 | Moyenne d’équipe : 64
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Centre de jeu
Coachella Valley Firebirds
16-6-0, 32pts
5
FINAL
1 Toronto Marlies
1-4-0, 2pts
Team Stats
W1SéquenceL2
12-0-0Fiche domicile1-1-0
4-6-0Fiche domicile0-3-0
6-4-0Derniers 10 matchs1-4-0
3.59Buts par match 2.80
2.73Buts contre par match 3.60
32.43%Pourcentage en avantage numérique42.86%
77.78%Pourcentage en désavantage numérique55.56%
Toronto Marlies
1-4-0, 2pts
1
FINAL
3 Coachella Valley Firebirds
16-6-0, 32pts
Team Stats
L2SéquenceW1
1-1-0Fiche domicile12-0-0
0-3-0Fiche domicile4-6-0
1-4-0Derniers 10 matchs6-4-0
2.80Buts par match 3.59
3.60Buts contre par match 2.73
42.86%Pourcentage en avantage numérique32.43%
55.56%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Taylor RaddyshButs
Taylor Raddysh
3
Taylor RaddyshPasses
Taylor Raddysh
4
Taylor RaddyshPoints
Taylor Raddysh
7
Brad HuntPlus/Moins
Brad Hunt
5

Statistiques d’équipe
Buts pour
14
2.80 GFG
Tirs pour
126
25.20 Avg
Pourcentage en avantage numérique
42.9%
3 GF
Début de zone offensive
32.3%
Buts contre
18
3.60 GAA
Tirs contre
185
37.00 Avg
Pourcentage en désavantage numérique
55.6%%
4 GA
Début de la zone défensive
43.2%
Informations de l'équipe

Directeur généralDale Lautner
DivisionNorth Division
ConférenceWestern Conference
CapitaineAlex Formenton
Assistant #1Ryan Murray
Assistant #2Ridly Greig


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro35
Équipe Mineure20
Limite contact 55 / 65
Espoirs28


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
1Taylor Raddysh0XX100.00764791768385778154757670785750077740261775,000$
2Mason Appleton0XX100.006643787481867775437266717269590777202821,150,000$
3Alex Formenton (C)0X100.00666775886792957355556964555567076710241775,000$
4Austin Czarnik0X100.00604375746578736765626162677363077660311775,000$
5Ridly Greig (R) (A)0XX100.00654469717478606758666263675150077650214863,333$
6Ben Jones (R)0X100.00655262716266656661646067665250078640252775,000$
7Anders Bjork0XX100.00624377686970706341625762635953078630274775,000$
8Matej Blumel (R)0X100.00624071686462626442626061645150077610242925,000$
9Caeden Bankier (R)0X100.00636860556158706258655962504560024600216867,500$
10Jamieson Rees (R)0X100.00565358705862626359635654635050078600231839,167$
11Danila Klimovich (R)0X100.00674664686757566241565862635050075600213886,667$
12Ryder Korczak (R)0X100.00465159646153555461546863594557024590214859,167$
13Ozzy Wiesblatt (R)0X100.00614066686260605941565560615050024590224835,333$
14Ryan Suzuki (R)0X100.00574568686261606157595654615050024590232863,333$
15Jordan Oesterle0X100.006454827475858472406863717082720777303241,250,000$
16Brad Hunt0X100.006347857569828573406865697184740767303541,090,000$
17Jarred Tinordi0X100.00737262668581806640626071648070079710324775,000$
18Ryan Murray (A)0X100.00584377718283766740636066668474078700302775,000$
19Cale Fleury0X100.00674771717978676640625967656154077680254800,000$
20Joe Hicketts0X100.00544862725769686740655868665550078650284775,000$
21Matt Tennyson0X100.00614661646472726140605167596959023640344775,000$
22Alec Regula0X100.00665158676961606340615567625050024630231866,667$
23David Farrance (R)0X100.00594470696364636140615363615250024620251925,000$
24Matthew Robertson (R)0X100.00625366666862626340595464615050024620231797,500$
25Topi Niemela (R)0X100.00474969645665525361584069484545024580224856,667$
Rayé
1John Beecher (R)0X100.00675263626961605951575359595050064580234925,000$
2Joachim Blichfeld (R)0XX100.00593575785466665450515351506048064570252933,333$
3Samuel Helenius (R)0X100.00355148535857575856616740474540020550216805,833$
4Tyler Tullio (R)0X100.00605558495961645152545550424540020530224823,333$
5Luca Del Bel Belluz (R)0X100.00417555605958495849554441424559020520206891,667$
MOYENNE D’ÉQUIPE100.0060506868676967644961586261575505563
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
1Pavel Francouz0100.00837675737881818282797969620787803412,000,000$
2Alex Stalock0100.0074797767767673757675758376078750361775,000$
Rayé
1Ilya Konovalov (R)0100.0075757579846771676670487172022720251842,500$
2Calle Clang (R)0100.0051646788596749554760616266022610224878,333$
3Philippe Desrosiers0100.0061595764595554535459575450022570282775,000$
MOYENNE D’ÉQUIPE100.006971707471696666656964686504469
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
1Taylor RaddyshToronto Marlies (TOR)LW/RW5347100782172214.29%311923.9403304000071057.89%1972001.1700000200
2Mason AppletonToronto Marlies (TOR)C/RW533610011112451912.50%212024.0321324000170051.49%13423001.0000000000
3Jordan OesterleToronto Marlies (TOR)D51344003996311.11%913727.571011400008000%006000.5800000010
4Brad HuntToronto Marlies (TOR)D51345753886012.50%412024.190000000000000%076000.6600010000
5Alex FormentonToronto Marlies (TOR)LW5123-300810177125.88%19619.360000300005000%162000.6200000000
6Ben JonesToronto Marlies (TOR)C5112-3757737733.33%19819.7100000000010065.38%2600000.4100001000
7Joe HickettsToronto Marlies (TOR)D5022-320511220%97515.060110500006000%010000.5300000000
8Matej BlumelToronto Marlies (TOR)LW5112-1409371314.29%47715.480000000000000%013000.5200000000
9Austin CzarnikToronto Marlies (TOR)C5112-4009797611.11%19218.5700003000020048.08%5210000.4300000001
10Ridly GreigToronto Marlies (TOR)C/LW511200091054520.00%08216.5100003000020036.59%4110000.4800000000
11Jamieson ReesToronto Marlies (TOR)C5011000863140%37815.6200000000000033.33%300000.2600000000
12Anders BjorkToronto Marlies (TOR)LW/RW51010404643325.00%110120.3900004000000033.33%613000.2000000000
13Cale FleuryToronto Marlies (TOR)D5011-3175271220%36913.880000100000000%004000.2900001000
14Alec RegulaToronto Marlies (TOR)D5000000000000%061.350000000001000%00000000000000
15Caeden BankierToronto Marlies (TOR)C5000000110000%061.3600000000000033.33%30200000000000
16Ryder KorczakToronto Marlies (TOR)C5000000000000%000.110000000000000%00000000000000
17Topi NiemelaToronto Marlies (TOR)D5000000000000%020.450000000000000%00000000000000
18Jarred TinordiToronto Marlies (TOR)D5000-51010654200%69519.090000200005000%01200000110000
19Danila KlimovichToronto Marlies (TOR)RW5000000010000%081.760000000000000%00000000000000
20Ryan MurrayToronto Marlies (TOR)D5000-4203710200%99418.860001200003000%02400000000000
21Ozzy WiesblattToronto Marlies (TOR)RW5000000000000%000.070000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne105142337-15532595107126628811.11%56148614.163584420001521049.47%2853037000.5000122211
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
1Pavel FrancouzToronto Marlies (TOR)51400.9083.42298001718486010050000
Statistiques d’équipe totales ou en moyenne51400.9083.4229800171848601050000


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 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
Alec RegulaToronto Marlies (TOR)D232000-08-06No207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm866,667$0$0$No---------------------------
Alex FormentonToronto Marlies (TOR)LW241999-09-13No195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Alex StalockToronto Marlies (TOR)G361987-07-28No170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Anders BjorkToronto Marlies (TOR)LW/RW271996-08-05No196 Lbs6 ft0NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Austin CzarnikToronto Marlies (TOR)C311992-12-12No170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Ben JonesToronto Marlies (TOR)C251999-02-26Yes187 Lbs6 ft0NoNoN/ANoNo22024-01-11FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Brad HuntToronto Marlies (TOR)D351988-08-24No177 Lbs5 ft9NoNoFree AgentNoNo42024-02-04FalseFalsePro & Farm1,090,000$0$0$No1,090,000$1,090,000$1,090,000$------1,090,000$1,090,000$1,090,000$------NoNoNo------Lien NHL
Caeden BankierToronto Marlies (TOR)C212003-01-26Yes190 Lbs6 ft2NoNoAssign ManuallyNoNo62024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$867,500$867,500$----867,500$867,500$867,500$867,500$867,500$----NoNoNoNoNo----
Cale FleuryToronto Marlies (TOR)D251998-11-19No204 Lbs6 ft1NoNoN/ANoNo42024-01-11FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Calle ClangToronto Marlies (TOR)G222002-05-20Yes194 Lbs6 ft2NoNoProspectNoNo42024-01-20FalseFalsePro & Farm878,333$0$0$No878,333$878,333$878,333$------878,333$878,333$878,333$------NoNoNo------
Danila KlimovichToronto Marlies (TOR)RW212003-01-09Yes203 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
David FarranceToronto Marlies (TOR)D251999-06-23Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Ilya KonovalovToronto Marlies (TOR)G251998-07-13Yes194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------Lien
Jamieson ReesToronto Marlies (TOR)C232001-02-26Yes172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm839,167$0$0$No---------------------------
Jarred TinordiToronto Marlies (TOR)D321992-02-20No229 Lbs6 ft6NoNoFree AgentNoNo42024-02-04FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Joachim BlichfeldToronto Marlies (TOR)LW/RW251998-07-17Yes180 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm933,333$0$0$No933,333$--------933,333$--------No--------Lien
Joe HickettsToronto Marlies (TOR)D281996-05-04No181 Lbs5 ft8NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
John BeecherToronto Marlies (TOR)C232001-04-05Yes209 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------
Jordan OesterleToronto Marlies (TOR)D321992-06-25No187 Lbs6 ft0NoNoFree AgentNoNo42024-02-04FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------Lien NHL
Luca Del Bel BelluzToronto Marlies (TOR)C202003-11-10Yes179 Lbs6 ft1NoNoProspectNoNo62024-01-20FalseFalsePro & Farm891,667$0$0$No891,667$891,667$891,667$891,667$891,667$----891,667$891,667$891,667$891,667$891,667$----NoNoNoNoNo----
Mason AppletonToronto Marlies (TOR)C/RW281996-01-15No197 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,150,000$0$0$No1,150,000$--------1,150,000$--------No--------Lien NHL
Matej BlumelToronto Marlies (TOR)LW242000-05-31Yes198 Lbs6 ft0NoNoN/ANoNo22024-01-11FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Matt TennysonToronto Marlies (TOR)D341990-04-23No205 Lbs6 ft2NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Matthew RobertsonToronto Marlies (TOR)D232001-03-09Yes201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm797,500$0$0$No---------------------------
Ozzy WiesblattToronto Marlies (TOR)RW222002-03-09Yes183 Lbs5 ft10NoNoN/ANoNo42024-01-11FalseFalsePro & Farm835,333$0$0$No835,333$835,333$835,333$------835,333$835,333$835,333$------NoNoNo------
Pavel FrancouzToronto Marlies (TOR)G341990-06-03No179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien NHL
Philippe DesrosiersToronto Marlies (TOR)G281995-08-16No201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------
Ridly GreigToronto Marlies (TOR)C/LW212002-08-08Yes183 Lbs6 ft0NoNoN/ANoNo42024-01-11FalseFalsePro & Farm863,333$0$0$No863,333$863,333$863,333$------863,333$863,333$863,333$------NoNoNo------
Ryan MurrayToronto Marlies (TOR)D301993-09-27No206 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien NHL
Ryan SuzukiToronto Marlies (TOR)C232001-05-28Yes176 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------
Ryder KorczakToronto Marlies (TOR)C212002-09-23Yes174 Lbs5 ft11NoNoProspectNoNo42024-01-20FalseFalsePro & Farm859,167$0$0$No859,167$859,167$859,167$------859,167$859,167$859,167$------NoNoNo------
Samuel HeleniusToronto Marlies (TOR)C212002-11-26Yes201 Lbs6 ft6NoNoProspectNoNo62024-01-20FalseFalsePro & Farm805,833$0$0$No805,833$805,833$805,833$805,833$805,833$----805,833$805,833$805,833$805,833$805,833$----NoNoNoNoNo----
Taylor RaddyshToronto Marlies (TOR)LW/RW261998-02-18No198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Topi NiemelaToronto Marlies (TOR)D222002-03-25Yes160 Lbs5 ft11NoNoProspectNoNo42024-01-20FalseFalsePro & Farm856,667$0$0$No856,667$856,667$856,667$------856,667$856,667$856,667$------NoNoNo------
Tyler TullioToronto Marlies (TOR)RW222002-04-05Yes165 Lbs5 ft10NoNoProspectNoNo42024-01-20FalseFalsePro & Farm823,333$0$0$No823,333$823,333$823,333$------823,333$823,333$823,333$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3525.77190 Lbs6 ft12.89894,295$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor RaddyshMason AppletonAnders Bjork40122
2Alex FormentonAustin CzarnikBen Jones30122
3Matej BlumelRidly GreigJamieson Rees20122
4Taylor RaddyshBen JonesMason Appleton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brad HuntJordan Oesterle40122
2Jarred TinordiRyan Murray30122
3Cale FleuryJoe Hicketts20122
4Brad HuntJordan Oesterle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor RaddyshMason AppletonAnders Bjork60122
2Alex FormentonAustin CzarnikRidly Greig40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe HickettsJordan Oesterle60122
2Jarred TinordiRyan Murray40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshMason Appleton60122
2Alex FormentonAustin Czarnik40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe HickettsJordan Oesterle60122
2Jarred TinordiRyan Murray40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Joe HickettsJordan Oesterle60122
2Mason Appleton40122Jarred TinordiRyan Murray40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshMason Appleton60122
2Alex FormentonAustin Czarnik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MurrayJordan Oesterle60122
2Jarred TinordiJoe Hicketts40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor RaddyshMason AppletonAnders BjorkJarred TinordiJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor RaddyshMason AppletonAnders BjorkJarred TinordiJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamieson Rees, Taylor Raddysh, Ridly GreigJamieson Rees, Mason AppletonRidly Greig
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cale Fleury, Joe Hicketts, Jarred TinordiCale FleuryJoe Hicketts, Jarred Tinordi
Tirs de pénalité
Taylor Raddysh, Mason Appleton, Alex Formenton, Austin Czarnik, Ridly Greig
Gardien
#1 : Pavel Francouz, #2 : Alex Stalock
Lignes d’attaque personnalisées en prolongation
Taylor Raddysh, Mason Appleton, Alex Formenton, Austin Czarnik, Ridly Greig, Ben Jones, Ben Jones, Anders Bjork, Matej Blumel, Danila Klimovich, Jamieson Rees
Lignes de défense personnalisées en prolongation
Brad Hunt, Jordan Oesterle, Jarred Tinordi, Ryan Murray, 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
1Coachella Valley Firebirds514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
Total514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
_Since Last GM Reset514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
_Vs Conference514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
_Vs Division514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L214233712618556539510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001418
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000087
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000611
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7342.86%9455.56%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
35444701670
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
459248.91%5512344.72%417058.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9447105469953


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
18Toronto Marlies2Coachella Valley Firebirds3LSommaire du match
216Toronto Marlies3Coachella Valley Firebirds5LSommaire du match
324Coachella Valley Firebirds2Toronto Marlies7WSommaire du match
432Coachella Valley Firebirds5Toronto Marlies1LSommaire du match
540Toronto Marlies1Coachella Valley Firebirds3LSommaire 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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,130,033$ 3,115,866$ 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