Connexion

Toronto Toros
GP: 9 | W: 8 | L: 0 | OTL: 1 | P: 17
GF: 41 | GA: 18 | PP%: 18.18% | PK%: 85.71%
DG: David Lessard | Morale : 40 | Moyenne d’équipe : 80
#154 vs Baltimore Blades
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Centre de jeu
Michigan Stags
7-2-0, 14pts
2
FINAL
1 Toronto Toros
8-0-1, 17pts
Team Stats
L1SéquenceW1
4-1-0Fiche domicile4-0-1
3-1-0Fiche visiteur4-0-0
7-2-0Derniers 10 matchs8-0-1
3.22Buts par match 4.56
1.89Buts contre par match 2.00
12.50%Pourcentage en avantage numérique18.18%
92.86%Pourcentage en désavantage numérique85.71%
New York GoldenBlades
5-5-0, 10pts
1
FINAL
3 Toronto Toros
8-0-1, 17pts
Team Stats
L2SéquenceW1
2-2-0Fiche domicile4-0-1
3-3-0Fiche visiteur4-0-0
5-5-0Derniers 10 matchs8-0-1
2.20Buts par match 4.56
1.60Buts contre par match 2.00
14.29%Pourcentage en avantage numérique18.18%
91.18%Pourcentage en désavantage numérique85.71%
Toronto Toros
8-0-1, 17pts
Jour 13
Baltimore Blades
3-5-2, 8pts
Statistiques d’équipe
W1SéquenceL3
4-0-1Fiche domicile1-2-1
4-0-0Fiche visiteur2-3-1
8-0-110 derniers matchs3-5-2
4.56Buts par match 2.00
2.00Buts contre par match 2.00
18.18%Pourcentage en avantage numérique27.27%
85.71%Pourcentage en désavantage numérique84.38%
Toronto Toros
8-0-1, 17pts
Jour 14
Manhattan Raiders
5-4-1, 11pts
Statistiques d’équipe
W1SéquenceW2
4-0-1Fiche domicile3-1-1
4-0-0Fiche visiteur2-3-0
8-0-110 derniers matchs5-4-1
4.56Buts par match 2.00
2.00Buts contre par match 2.00
18.18%Pourcentage en avantage numérique10.53%
85.71%Pourcentage en désavantage numérique75.61%
Toronto Toros
8-0-1, 17pts
Jour 15
New York GoldenBlades
5-5-0, 10pts
Statistiques d’équipe
W1SéquenceL2
4-0-1Fiche domicile2-2-0
4-0-0Fiche visiteur3-3-0
8-0-110 derniers matchs5-5-0
4.56Buts par match 2.20
2.00Buts contre par match 2.20
18.18%Pourcentage en avantage numérique14.29%
85.71%Pourcentage en désavantage numérique91.18%
Meneurs d'équipe
Buts
Nikita Kucherov
9
Passes
Kirill Kaprizov
9
Points
Kirill Kaprizov
16
Plus/Moins
Leon Draisaitl
12
Victoires
Jake Oettinger
5
Pourcentage d’arrêts
Pyotr Kochetkov
0.964

Statistiques d’équipe
Buts pour
41
4.56 GFG
Tirs pour
264
29.33 Avg
Pourcentage en avantage numérique
18.2%
6 GF
Début de zone offensive
36.0%
Buts contre
18
2.00 GAA
Tirs contre
252
28.00 Avg
Pourcentage en désavantage numérique
85.7%%
4 GA
Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralDavid Lessard
DivisionMarc Tardif
ConférenceDAVIDSON
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomMaple Leaf Garden
Capacité20,000
Assistance17,663
Billets de saison8,000


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 250
Espoirs44


Plafond salarial Non Activé

Cap Salarial de la Saison estimé82,225,000$
Plafond salarial disponible1,275,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour8,641,056$
Dépenses annuelles à ce jour9,052,296$
Revenus de la saison estimés62,215,603$
Dépenses de la saison estimées73,172,726$
Compte bancaire actuel188,147,963$
Compte bancaire projeté177,190,840$


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
1Leon DraisaitlX100.006166768775868985908584677281950408502938,000,000$
2Kirill KaprizovX100.006254858762878285508586628067950408402725,000,000$
3Nikita KucherovX100.005952898761878985528685616585950408403129,000,000$
4Brayden PointX100.005351908557858985728585638376940408302849,000,000$
5Adam LowryX100.008590817784818968907068855083750408003132,500,000$
6Nikolaj EhlersX100.005659888262819084508076628078820407902844,750,000$
7Erik HaulaX100.007055807763828374866772855087780407803342,500,000$
8Conor GarlandX100.006064868255809080507374625072770407602844,000,000$
9Kevin StenlundX100.00666079738578896482536785507265040740284750,000$
10Pavel DorofeyevX100.00565190776978527252667560506273040730243825,000$
11Justin BaileyX100.00715190738276656450606165507967040710293750,000$
12Arthur KaliyevX100.00605189737577567450616458586365043690231832,500$
13John CarlsonX100.006358858379909085408571856996910408603438,000,000$
14Mike MathesonX100.006156808573909085408572855480930408503023,500,000$
15Alex PietrangeloX100.006156878379897085408461855098860408403448,000,000$
16Vince DunnX100.006082688267886585408576665074910408202844,000,000$
17Dylan DeMeloX100.00805486826987906440796085508179040810311900,000$
18Niko MikkolaX100.008571787783859065406759855070710407902853,000,000$
19Jackson LaCombeX100.00615288777484786540705985505969040760231925,000$
20Scott PerunovichX100.00585190775780597540775064506471040720261750,000$
Rayé
Équipe Mineure
1Jansen HarkinsX100.00706082687368595550595457566958040640275800,000$
2Oskar SteenX100.00795090636169485550535558466657040630261800,000$
3Nicholas AbruzzeseX100.00485090736160555531655050306272040620252775,000$
4Matthew PhillipsX100.00495090634870475650605557466660040610261750,000$
5Isaac RatcliffeX100.00585063738560555530505050305956040600252825,000$
6Riley BarberX100.00485076736760555530505050307450040590302800,000$
7Zach Dean (R)X100.00585072626276305549505157325553040590213892,500$
8Joshua Ho-SangX100.00444555736260555530505050305460040580284700,000$
9Marcus SorensenX100.004445557359605555305050503054640405803211,500,000$
10Riley DamianiX100.00465082735560555531505050305853040580243775,000$
11Ivan ChekhovichX100.00444555735860555530505050305457040570252750,000$
12Zac JonesX100.00565188675775445540675962376463040660243800,000$
13Jacob MoverareX100.00525188637870375540525663356457040640261750,000$
14Gustav OlofssonX100.00455090637380305538505065308059040630301700,000$
15Akito HiroseX100.00565090636177305536505060306156040620253950,000$
16Calle RosenX100.00495081636878305536555057317662040620302750,000$
17Ashton SautnerX100.00444555736960555530505050305462040590302700,000$
18Ben GleasonX100.00444555736760555530505050305458040590261775,000$
19Jimmy SchuldtX100.00444555737160555530505050305461040590293750,000$
MOYENNE D’ÉQUIPE100.0064598480718480765575707358768104079
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
1Jake Oettinger100.00829492908185818181819064880408502612,400,000$
2Pyotr Kochetkov100.00808291838181798281807661810408202522,000,000$
Rayé
1Samuel Ersson100.0080919081807878807879905983040820251842,500$
Équipe Mineure
1Jiri Patera100.006337888455866755556459596304066N0253817,500$
2Hugo Alnefelt100.0062306574835550555052505353040600231842,500$
MOYENNE D’ÉQUIPE100.008189918581817981808085618404083
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
1Kirill KaprizovToronto TorosLW97916110012835182920.00%016618.49213727000091134.15%82173001.9200000231
2Nikita KucherovToronto TorosRW997161020862781033.33%016218.01123325000090038.46%13213011.9700000113
3Leon DraisaitlToronto TorosLW977141213519629101824.14%416918.791127250001103077.78%18212011.6600001110
4Brayden PointToronto TorosC96612900342331026.09%216218.030114250000101050.78%128133001.4800000111
5Nikolaj EhlersToronto TorosRW9369900621671118.75%215216.98123627000000050.00%4112001.1800000110
6Mike MathesonToronto TorosD918911001016111149.09%1218320.3610122600009000%068000.9800000001
7Alex PietrangeloToronto TorosD9156780416124128.33%1420723.08000426000026010%0011000.5800000000
8John CarlsonToronto TorosD92461020812175911.76%1220422.69022226000110000%058000.5900000000
9Vince DunnToronto TorosD9156729158384512.50%514315.8900012200005100%076000.8400011000
10Conor GarlandToronto TorosRW91346006897711.11%115617.40011122000160051.85%2760000.5100000000
11Niko MikkolaToronto TorosD9033229256109430%1113715.3100000000019000%0013000.4400203000
12Erik HaulaToronto TorosLW91231201051611176.25%212914.36000000000131063.64%1152000.4600000000
13Pavel DorofeyevToronto TorosC9213100221161018.18%2657.2500000000001147.37%3890000.9200000010
14Dylan DeMeloToronto TorosD902210017157130%1215617.4100003000117000%014000.2600000000
15Adam LowryToronto TorosC902232820161518580%312614.08000040001160063.95%8653000.3200112000
16Justin BaileyToronto TorosRW9011100732030%2849.43000000000140066.67%302000.2400000000
17Jackson LaCombeToronto TorosD9000240050100%3424.7700000000019000%00100000000000
18Arthur KaliyevToronto TorosC9000-120313230%0647.1600000000000033.33%61100000000000
19Kevin StenlundToronto TorosC90001804510130%212814.30000000000160056.00%250100000000000
20Scott PerunovichToronto TorosD9000200001010%1111.270000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne18041711121051276514914226410816615.53%90265514.75610163726300052178351.25%44112873020.8400327686
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
1Jake OettingerToronto Toros55000.9012.80300001414181000054000
2Pyotr KochetkovToronto Toros43010.9640.9924321411164000045103
Statistiques d’équipe totales ou en moyenne98010.9291.99543211825214500099103


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 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
Adam LowryToronto TorosC311993-03-29No210 Lbs6 ft5NoNoN/ANoNo3Pro & Farm2,500,000$2,224,771$2,500,000$2,224,771$No2,500,000$2,500,000$-------NoNo-------
Alex PietrangeloToronto TorosD341990-01-18No215 Lbs6 ft3NoNoN/ANoNo4Pro & Farm8,000,000$7,119,266$8,000,000$7,119,266$No8,000,000$8,000,000$8,000,000$------NoNoNo------
Arthur KaliyevToronto TorosC232001-06-26No210 Lbs6 ft2NoNoN/ANoNo12024-08-08Pro & Farm832,500$740,849$832,500$740,849$No------------------
Brayden PointToronto TorosC281996-03-13No178 Lbs5 ft10NoNoN/ANoNo4Pro & Farm9,000,000$8,009,174$9,000,000$8,009,174$No9,000,000$9,000,000$9,000,000$------NoNoNo------
Conor GarlandToronto TorosRW281996-03-11No165 Lbs5 ft10NoNoN/ANoNo4Pro & Farm4,000,000$3,559,633$4,000,000$3,559,633$No4,000,000$4,000,000$4,000,000$------NoNoNo------
Dylan DeMeloToronto TorosD311993-05-01No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$800,917$900,000$800,917$No------------------
Erik HaulaToronto TorosLW331991-03-23No191 Lbs5 ft11NoNoN/ANoNo4Pro & Farm2,500,000$2,224,771$2,500,000$2,224,771$No2,500,000$2,500,000$2,500,000$------NoNoNo------
Jackson LaCombeToronto TorosD232001-01-09No205 Lbs6 ft2NoNoN/ANoNo1Pro & Farm925,000$823,165$925,000$823,165$No------------------
Jake OettingerToronto TorosG261998-12-18No224 Lbs6 ft6NoNoN/ANoNo1Pro & Farm2,400,000$2,135,780$2,400,000$2,135,780$No------------------
John CarlsonToronto TorosD341990-01-10No215 Lbs6 ft3NoNoN/ANoNo3Pro & Farm8,000,000$7,119,266$8,000,000$7,119,266$No8,000,000$8,000,000$-------NoNo-------
Justin BaileyToronto TorosRW291995-07-01No214 Lbs6 ft4NoNoN/ANoNo3Pro & Farm750,000$667,431$750,000$667,431$No750,000$750,000$-------NoNo-------
Kevin StenlundToronto TorosC281996-09-20No215 Lbs6 ft5NoNoN/ANoNo4Pro & Farm750,000$667,431$750,000$667,431$No750,000$750,000$750,000$------NoNoNo------
Kirill KaprizovToronto TorosLW271997-04-26No202 Lbs5 ft10NoNoN/ANoNo2Pro & Farm5,000,000$4,449,541$5,000,000$4,449,541$No5,000,000$--------No--------
Leon DraisaitlToronto TorosLW291995-10-27No209 Lbs6 ft2NoNoN/ANoNo3Pro & Farm8,000,000$7,119,266$8,000,000$7,119,266$No8,000,000$8,000,000$-------NoNo-------
Mike MathesonToronto TorosD301994-02-27No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,500,000$3,114,679$3,500,000$3,114,679$No3,500,000$--------No--------
Nikita KucherovToronto TorosRW311993-06-17No182 Lbs5 ft11NoNoN/ANoNo2Pro & Farm9,000,000$8,009,174$9,000,000$8,009,174$No9,000,000$--------No--------
Niko MikkolaToronto TorosD281996-04-27No206 Lbs6 ft5NoNoN/ANoNo52024-08-28Pro & Farm3,000,000$2,669,725$3,000,000$2,669,725$No3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----
Nikolaj EhlersToronto TorosRW281996-02-14No172 Lbs6 ft0NoNoN/ANoNo4Pro & Farm4,750,000$4,227,064$4,750,000$4,227,064$No4,750,000$4,750,000$4,750,000$------NoNoNo------
Pavel DorofeyevToronto TorosC242000-10-26No194 Lbs6 ft1NoNoN/ANoNo32024-08-28Pro & Farm825,000$734,174$825,000$734,174$No825,000$825,000$-------NoNo-------
Pyotr KochetkovToronto TorosG251999-06-25No205 Lbs6 ft3NoNoN/ANoNo22024-08-28Pro & Farm2,000,000$1,779,817$2,000,000$1,779,817$No2,000,000$--------No--------
Samuel ErssonToronto TorosG251999-10-20No194 Lbs6 ft3NoNoN/ANoNo1Pro & Farm842,500$749,748$842,500$749,748$No------------------
Scott PerunovichToronto TorosD261998-08-18No175 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$667,431$750,000$667,431$No------------------
Vince DunnToronto TorosD281996-10-29No200 Lbs6 ft0NoNoN/ANoNo4Pro & Farm4,000,000$3,559,633$4,000,000$3,559,633$No4,000,000$4,000,000$4,000,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2328.22199 Lbs6 ft22.703,575,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
82,225,000$75,575,000$56,075,000$36,000,000$3,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Leon DraisaitlBrayden PointNikita Kucherov34122
2Kirill KaprizovAdam LowryNikolaj Ehlers30122
3Erik HaulaKevin StenlundConor Garland26122
4Leon DraisaitlPavel DorofeyevJustin Bailey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonMike Matheson34122
2Alex PietrangeloVince Dunn30122
3Dylan DeMeloNiko Mikkola26122
4Jackson LaCombeScott Perunovich10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Leon DraisaitlBrayden PointNikita Kucherov51122
2Kirill KaprizovAdam LowryNikolaj Ehlers49122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonMike Matheson51122
2Alex PietrangeloVince Dunn49122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Leon DraisaitlKirill Kaprizov51122
2Nikita KucherovBrayden Point49122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonMike Matheson51122
2Alex PietrangeloVince Dunn49122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Leon Draisaitl51122John CarlsonMike Matheson51122
2Kirill Kaprizov49122Alex PietrangeloVince Dunn49122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Leon DraisaitlKirill Kaprizov51122
2Nikita KucherovBrayden Point49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John CarlsonMike Matheson51122
2Alex PietrangeloVince Dunn49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Leon DraisaitlBrayden PointNikita KucherovJohn CarlsonMike Matheson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Leon DraisaitlBrayden PointNikita KucherovJohn CarlsonMike Matheson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Arthur Kaliyev, Erik Haula, Conor GarlandArthur Kaliyev, Erik HaulaConor Garland
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan DeMelo, Niko Mikkola, Jackson LaCombeDylan DeMeloNiko Mikkola, Jackson LaCombe
Tirs de pénalité
Leon Draisaitl, Kirill Kaprizov, Nikita Kucherov, Brayden Point, Adam Lowry
Gardien
#1 : Jake Oettinger, #2 : Pyotr Kochetkov
Lignes d’attaque personnalisées en prolongation
Leon Draisaitl, Kirill Kaprizov, Nikita Kucherov, Brayden Point, Adam Lowry, Nikolaj Ehlers, Nikolaj Ehlers, Erik Haula, Conor Garland, Kevin Stenlund, Pavel Dorofeyev
Lignes de défense personnalisées en prolongation
John Carlson, Mike Matheson, Alex Pietrangelo, Vince Dunn, Dylan DeMelo


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
1Baltimore Blades10001000541100010005410000000000021.00059140002212328121391131263133.33%5340.00%08215851.90%9117252.91%5310948.62%2113247136
2Calgary Cowboys2200000011560000000000022000000115641.000111930005420602320170542023227228.57%8187.50%08215851.90%9117252.91%5310948.62%412748173014
3Cleveland Crusaders11000000303000000000001100000030321.000358011020246117029161820200.00%40100.00%08215851.90%9117252.91%5310948.62%1811257157
4Manhattan Raiders11000000413110000004130000000000021.0004711000310307176024813137228.57%40100.00%08215851.90%9117252.91%5310948.62%2314228147
5Michigan Stags210001006511000010012-11100000053230.7506121800123066182125265212331700.00%40100.00%08215851.90%9117252.91%5310948.62%473245163014
6Minnesota FightingSaints11000000927110000009270000000000021.000914230014403610141201975152150.00%000%08215851.90%9117252.91%5310948.62%2518187157
7New York GoldenBlades11000000312110000003120000000000021.00035800111025681102271622500.00%30100.00%08215851.90%9117252.91%5310948.62%2517197157
Total97001100411823530011002210124400000019811170.94441711120191615126472999032529012914933618.18%28485.71%08215851.90%9117252.91%5310948.62%2031352047213566
_Since Last GM Reset97001100411823530011002210124400000019811170.94441711120191615126472999032529012914933618.18%28485.71%08215851.90%9117252.91%5310948.62%2031352047213566
_Vs Conference97001100411823530011002210124400000019811170.94441711120191615126472999032529012914933618.18%28485.71%08215851.90%9117252.91%5310948.62%2031352047213566
_Vs Division750011003013175300110022101222000000835130.9293052820141213120449797331987010612726415.38%20385.00%08215851.90%9117252.91%5310948.62%1621081555410451

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
917W141711122642529012914901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
97011004118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53011002210
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4400000198
Derniers 10 matchs
WLOTWOTL SOWSOL
701100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33618.18%28485.71%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
7299903916151
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
8215851.90%9117252.91%5310948.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2031352047213566


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
110Baltimore Blades4Toronto Toros5BWXSommaire du match
226Minnesota FightingSaints2Toronto Toros9BWSommaire du match
336Toronto Toros6Calgary Cowboys3AWSommaire du match
452Toronto Toros5Calgary Cowboys2AWSommaire du match
670Toronto Toros5Michigan Stags3AWSommaire du match
790Manhattan Raiders1Toronto Toros4BWSommaire du match
9106Toronto Toros3Cleveland Crusaders0AWSommaire du match
10118Michigan Stags2Toronto Toros1BLXSommaire du match
12141New York GoldenBlades1Toronto Toros3BWSommaire du match
13154Toronto Toros-Baltimore Blades-
14168Toronto Toros-Manhattan Raiders-
15179Toronto Toros-New York GoldenBlades-
16188Quebec Nordiques-Toronto Toros-
18212Indiana Racers-Toronto Toros-
19232Dayton Firebirds-Toronto Toros-
21251Toronto Toros-Calgary Cowboys-
22262Toronto Toros-Michigan Stags-
23279Winnipeg Jets-Toronto Toros-
24295Toronto Toros-Manhattan Raiders-
25310Toronto Toros-Baltimore Blades-
26320Michigan Stags-Toronto Toros-
28343Manhattan Raiders-Toronto Toros-
29360Toronto Toros-Philly Blazers-
30375Philly Blazers-Toronto Toros-
32391Toronto Toros-Vancouver Grizzlies-
33408Quebec Nordiques-Toronto Toros-
34423Toronto Toros-Alberta Oilers-
35439New England Whalers-Toronto Toros-
36455Toronto Toros-Houston Aeros-
37472Los Angeles Sharks-Toronto Toros-
38486Toronto Toros-New Jersey Knights-
40502Michigan Stags-Toronto Toros-
42527Quebec Nordiques-Toronto Toros-
43536Toronto Toros-Birmingham Bulls-
44556Vancouver Grizzlies-Toronto Toros-
46579Toronto Toros-Detroit Gladiators-
47587Los Angeles Sharks-Toronto Toros-
48611Vancouver Grizzlies-Toronto Toros-
49620Toronto Toros-Dayton Firebirds-
51641Toronto Toros-Detroit Gladiators-
52653Manhattan Raiders-Toronto Toros-
53666Toronto Toros-Miami ScreamingEagles-
54683Miami ScreamingEagles-Toronto Toros-
56708Cleveland Crusaders-Toronto Toros-
58718Toronto Toros-Michigan Stags-
60743New York GoldenBlades-Toronto Toros-
62768Toronto Toros-Quebec Nordiques-
63781Minnesota FightingSaints-Toronto Toros-
64801Toronto Toros-Cincinnati Stingers-
65812Minnesota FightingSaints-Toronto Toros-
67832Toronto Toros-New York GoldenBlades-
68839Indiana Racers-Toronto Toros-
70868Orlando SolarBears-Toronto Toros-
71885Toronto Toros-Quebec Nordiques-
72898Phoenix Roadrunners-Toronto Toros-
73915Toronto Toros-Laval Chiefs-
74925Toronto Toros-Orlando SolarBears-
75939Phoenix Roadrunners-Toronto Toros-
76961Toronto Toros-San Diego Mariners-
77970New York GoldenBlades-Toronto Toros-
80996Cleveland Crusaders-Toronto Toros-
811005Toronto Toros-Cleveland Crusaders-
821020Toronto Toros-Phoenix Roadrunners-
831033Orlando SolarBears-Toronto Toros-
841052Toronto Toros-Philly Blazers-
851067Detroit Gladiators-Toronto Toros-
861087Toronto Toros-Minnesota FightingSaints-
871097Ottawa Nationals-Toronto Toros-
891121Calgary Cowboys-Toronto Toros-
901135Toronto Toros-Calgary Cowboys-
911145Toronto Toros-Chicago Cougars-
921156Toronto Toros-Los Angeles Sharks-
931167Calgary Cowboys-Toronto Toros-
941172Toronto Toros-Minnesota FightingSaints-
961197Dayton Firebirds-Toronto Toros-
981225Toronto Toros-Halifax Icebreakers-
991231Baltimore Blades-Toronto Toros-
1001253Baltimore Blades-Toronto Toros-
1011260Toronto Toros-Cleveland Crusaders-
1021267Toronto Toros-San Francisco Shamrocks-
1071296Denver Spurs-Toronto Toros-
1081307Toronto Toros-San Francisco Shamrocks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000300040002000
Prix des billets100755030175
Assistance24,78520,31114,72019,3949,104
Attendance PCT82.62%81.24%98.13%96.97%91.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 17663 - 88.31% 1,728,211$8,641,056$20000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
9,052,296$ 82,225,000$ 82,225,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
82,225,000$ 9,052,296$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
62,215,603$ 97 754,358$ 73,172,726$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
73,172,726$ 188,147,963$ 177,190,840$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
82,225,000$ 1,275,000$ 83,500,000$ 40,225,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Leon DraisaitlAGE:29PO:0OV:85
Kirill KaprizovAGE:27PO:0OV:84
Erik HaulaAGE:33PO:0OV:78
Isaac RatcliffeAGE:25PO:0OV:60
Riley BarberAGE:30PO:0OV:59
Ivan ChekhovichAGE:25PO:0OV:57
Brayden PointAGE:28PO:0OV:83
Adam LowryAGE:31PO:0OV:80
Kevin StenlundAGE:28PO:0OV:74
Pavel DorofeyevAGE:24PO:0OV:73
Arthur KaliyevAGE:23PO:0OV:69
Jansen HarkinsAGE:27PO:0OV:64
Oskar SteenAGE:26PO:0OV:63
Nicholas AbruzzeseAGE:25PO:0OV:62
Matthew PhillipsAGE:26PO:0OV:61
Zach Dean (R)AGE:21PO:0OV:59
Riley DamianiAGE:24PO:0OV:58
Nikita KucherovAGE:31PO:0OV:84
Nikolaj EhlersAGE:28PO:0OV:79
Conor GarlandAGE:28PO:0OV:76
Justin BaileyAGE:29PO:0OV:71
Joshua Ho-SangAGE:28PO:0OV:58
Marcus SorensenAGE:32PO:0OV:58

Défense #1Défense #2Gardien
John CarlsonAGE:34PO:0OV:86
Mike MathesonAGE:30PO:0OV:85
Alex PietrangeloAGE:34PO:0OV:84
Vince DunnAGE:28PO:0OV:82
Dylan DeMeloAGE:31PO:0OV:81
Niko MikkolaAGE:28PO:0OV:79
Jackson LaCombeAGE:23PO:0OV:76
Scott PerunovichAGE:26PO:0OV:72
Zac JonesAGE:24PO:0OV:66
Jacob MoverareAGE:26PO:0OV:64
Gustav OlofssonAGE:30PO:0OV:63
Akito HiroseAGE:25PO:0OV:62
Calle RosenAGE:30PO:0OV:62
Ashton SautnerAGE:30PO:0OV:59
Ben GleasonAGE:26PO:0OV:59
Jimmy SchuldtAGE:29PO:0OV:59
Jake OettingerAGE:26PO:0OV:85
Samuel ErssonAGE:25PO:0OV:82
Pyotr KochetkovAGE:25PO:0OV:82
Jiri PateraAGE:25PO:0OV:66
Hugo AlnefeltAGE:23PO:0OV:60

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Aku KoskenvuoToronto Toros00
Aleksi HeponiemiToronto Toros00
Alex LimogesToronto Toros00
Alexander CiernikToronto Toros00
Andre GasseauToronto Toros00
Anttoni HonkaToronto Toros00
Aydar SunievToronto Toros00
Ayrton MartinoToronto Toros00
Benjamin GaudreauToronto Toros00
Brett HarrisonToronto Toros00
Cade LittlerToronto Toros00
Caden PriceToronto Toros00
Carl LindbomToronto Toros00
Cole JordanToronto Toros00
Cole MackayToronto Toros00
Daniil GutikToronto Toros00
Dmitry RashevskyToronto Toros00
Erik PahlssonToronto Toros20242130Lien
Evan NauseToronto Toros00
Felix Unger-SorumToronto Toros00
Henri RybinskiToronto Toros00
Henry MewsToronto Toros2024740Lien
Jack BarToronto Toros00
Jack PeartToronto Toros00
Jakub SkarekToronto Toros201872
Jared WoolleyToronto Toros20241640Lien
Jayden PerronToronto Toros00
Jonathan DahlenToronto Toros00
Justin JanickeToronto Toros00
Luca CagnoniToronto Toros00
Luke AshtonToronto Toros20241650Lien
Maros JedlickaToronto Toros00
Martin HasToronto Toros00
Mattias-Emilio PetterssonToronto Toros00
Matvei GridinToronto Toros2024280Lien
Olivier RodrigueToronto Toros201862
Otto StenbergToronto Toros00
Thomas MilicToronto Toros00
Tuomas UronenToronto Toros00
Tuukka TieksolaToronto Toros00
Ty VoitToronto Toros00
Tyler PeddleToronto Toros00
Yegor SpiridonovToronto Toros00
Zahkar BardakovToronto Toros00

Choix au repêchage

Année R1R2R3R4R5R6
2025TOR TOR TOR TOR TOR TOR
2026TOR TOR TOR TOR TOR TOR
2027TOR TOR TOR TOR TOR TOR
2028TOR TOR TOR TOR TOR TOR
2029TOR TOR TOR TOR TOR TOR
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Toronto Toros Historique de transactions

[2024-10-30 12:34:56] - Patrice Bergeron was released.
[2024-10-30 12:34:56] - Toronto Toros paid $0 to release Patrice Bergeron.
[2024-10-03 08:05:58] - Erik Pahlsson has been added to Toronto Toros.
[2024-10-03 08:05:58] - Jared Woolley has been added to Toronto Toros.
[2024-10-03 08:05:58] - Luke Ashton has been added to Toronto Toros.
[2024-10-03 08:05:58] - Henry Mews has been added to Toronto Toros.
[2024-10-03 08:05:58] - Matvei Gridin has been added to Toronto Toros.
[2024-09-02 15:08:53] - Anthony Angello was released.
[2024-09-02 15:08:53] - Toronto Toros paid $0 to release Anthony Angello.
[2024-07-19 14:10:36] - Aleksi Heponiemi has been added to Toronto Toros.
[2024-07-19 14:10:21] - Jonathan Dahlen has been added to Toronto Toros.
[2024-07-19 13:54:05] - Teemu Pulkkinen was released by Toronto Toros
[2024-07-19 13:53:55] - Casey Nelson was released by Toronto Toros
[2024-07-19 13:53:41] - Brian Ferlin was released by Toronto Toros
[2024-07-19 13:53:27] - Adam Clendening was released by Toronto Toros
[2024-07-19 13:53:17] - Aleksi Heponiemi was released by Toronto Toros
[2024-07-19 13:53:06] - Jonathan Dahlen was released by Toronto Toros
[2024-07-18 20:26:17] - Zach Dean was added to Toronto Toros.



[2024-11-20 19:41:30] Successfully loaded Toronto Toros lines done with STHS Client - 3.4.0.0
[2024-11-18 19:55:40] Successfully loaded Toronto Toros lines done with STHS Client - 3.4.0.0
[2024-11-14 19:11:12] Successfully loaded Toronto Toros lines done with STHS Client - 3.4.0.0
[2024-11-13 19:09:38] Last 7 Days Pro Star : 1 - Kirill Kaprizov of Toronto Toros (7-7-14) / 2 - Nikita Kucherov of Toronto Toros (7-7-14) / 3 - Kyle Connor of Quebec Nordiques (4-7-11)
[2024-11-13 19:09:33] Successfully loaded Toronto Toros lines done with STHS Client - 3.4.0.0
[2024-11-12 18:00:07] Successfully loaded Toronto Toros lines done with STHS Client - 3.4.0.0
[2024-11-10 17:56:03] Successfully loaded Toronto Toros lines done with STHS Client - 3.4.0.0
[2024-11-06 18:04:31] Pro Game #26 - Nikita Kucherov from Toronto Toros has scored a Hat Trick!
[2024-11-06 18:04:26] Successfully loaded Toronto Toros lines done with STHS Client - 3.4.0.0
[2024-11-05 18:03:14] Pro Game #10 - Leon Draisaitl from Toronto Toros has scored a Hat Trick!



Pas de blessure ou de suspension.


Toronto Toros 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 Toros 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 Toros 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 Toros 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 Toros 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