Connexion

Americans
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Étienne Roy | Morale : 75 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralÉtienne Roy
EntraîneurSteve Ott
DivisionNorth
ConférenceEastern
Capitaine
Assistant #1Matvei Michkov
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure17
Limite contact 34 / 50
Espoirs21


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique166-179-34 (0.438%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)11-8
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
1Adam BrooksX100.00503795645782886662656660598078475000281850,000$
2Aaron LuchukX100.00503596635775725957595961547271545000272800,000$
3Bokondji ImamaX100.00745869638274756152606159547977485000272800,000$
4Joel Eriksson EkXXX100.008148826979717067786666726676766950002711,100,000$
5Declan McDonnell (R)XXX100.00554693666673886060606062546768535000222800,000$
6Hugh McGingX100.00524492676272766058606062587372465000261750,000$
7Matvei Michkov (R) (A)X100.006453837973857578607777687461669450001921,000,000$
8Andrew NielsenX100.00806264628580766130615964457674515000271750,000$
9Chris ButlerX100.00563795657781686430656370479998235000371800,000$
10Mitchell Vande SompelX100.005836886470787377307876655579745750002711,250,000$
11Charles D'AstousX100.00725883647870746630666664496154515000262800,000$
12Steven KampferX100.00735177647273697130707071469587364700352800,000$
13Slava Demin (R)X100.00584291657965686030605963457471545000242800,000$
Rayé
1Adam PlantX100.00523682637067735830575762507980415000292800,000$
MOYENNE D’ÉQUIPE100.0063468566727575654665646554777552500
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
1Adam Huska100.0072727189777980807972727680405000272800,000$
2Tom McCollum100.0075757484787576757575749298295000342800,000$
Rayé
1Ken Appleby100.00737271887783838383737380843950002900$
MOYENNE D’ÉQUIPE100.007373728777798079797373838736500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Ott75597173585485CAN4112,500,000$


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
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


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Aaron LuchukAmericans (BUF)C271997-04-04No178 Lbs5 ft10NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Adam BrooksAmericans (BUF)C281996-05-06No185 Lbs5 ft10NoNoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Adam HuskaAmericans (BUF)G271997-05-12No230 Lbs6 ft3NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Adam PlantAmericans (BUF)D291995-05-09No170 Lbs5 ft10NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Andrew NielsenAmericans (BUF)D271996-11-13No210 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Bokondji ImamaAmericans (BUF)LW271996-08-03No221 Lbs6 ft1NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Charles D'AstousAmericans (BUF)D261998-04-21 04:16:41No188 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Chris ButlerAmericans (BUF)D371986-10-27No196 Lbs6 ft1NoNoYesNo1Pro & Farm800,000$0$0$NoLien
Declan McDonnellAmericans (BUF)C/LW/RW222002-02-25 04:18:21Yes190 Lbs5 ft10NoNoNoNo2Pro & Farm800,000$0$0$No800,000$
Hugh McGingAmericans (BUF)LW261998-07-11 04:30:09No167 Lbs5 ft8NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Joel Eriksson EkAmericans (BUF)C/LW/RW271997-01-29No208 Lbs6 ft1NoNoNoNo1Pro & Farm1,100,000$0$0$NoLien / Lien NHL
Ken ApplebyAmericans (BUF)G291995-04-10No211 Lbs6 ft4NoNoNoNo0Pro & Farm0$0$NoLien
Matvei MichkovAmericans (BUF)RW192004-12-09 12:12:53Yes172 Lbs5 ft10NoNoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien / Lien NHL
Mitchell Vande SompelAmericans (BUF)D271997-02-11No194 Lbs5 ft10NoNoNoNo1Pro & Farm1,250,000$0$0$NoLien
Slava DeminAmericans (BUF)D242000-04-04 04:33:05Yes194 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$0$0$No800,000$
Steven KampferAmericans (BUF)D351988-09-24No198 Lbs5 ft11NoNoYesNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Tom McCollumAmericans (BUF)G341989-12-07No222 Lbs6 ft2NoNoYesNo2Pro & Farm800,000$0$0$No800,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1727.71196 Lbs6 ft01.53805,882$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matvei Michkov40005
230122
3Adam Brooks20122
4Declan McDonnell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slava Demin40113
2Mitchell Vande SompelAndrew Nielsen30122
320122
4Mitchell Vande Sompel10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matvei Michkov60005
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slava Demin60104
2Mitchell Vande SompelAndrew Nielsen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matvei Michkov60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Mitchell Vande SompelAndrew Nielsen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Matvei Michkov40122Mitchell Vande SompelAndrew Nielsen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matvei Michkov60122
2Bokondji Imama40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slava Demin60122
2Mitchell Vande SompelAndrew Nielsen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matvei MichkovMitchell Vande Sompel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matvei MichkovMitchell Vande Sompel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bokondji Imama, , Bokondji Imama,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Mitchell Vande Sompel, Andrew NielsenMitchell Vande SompelMitchell Vande Sompel, Andrew Nielsen
Tirs de pénalité
, Matvei Michkov, , ,
Gardien
#1 : Tom McCollum, #2 :
Lignes d’attaque personnalisées en prolongation
, Matvei Michkov, , , , , , , , , Adam Brooks
Lignes de défense personnalisées en prolongation
, , Mitchell Vande Sompel, Andrew Nielsen, Slava Demin


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,370,000$ 1,370,000$ 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$




Americans 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
1Taylor Leier304128120248-5228240760120010.67%92817426.891628442564482816847.09%40.61416
2Alexandre Fortin30488156244-329620043610968.03%84679822.368445224440484445.77%40.7248
3Josh Jooris456103138241-5319385751791111.31%83820417.99292554200145521644.04%00.5904
4Alexander Volkov38485134219-54764436939658.81%79648516.892825531830001412147.21%00.6847
5Kerby Rychel30488116204-244824845210288.56%72694322.841228401924042816446.90%00.59816

Americans 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
1Marek Mazanec350149169270.8923.601928418911571072201850.72881
2Thomas Greiss40181550.8933.4522262012812000101.0003
3Louis Domingue28161020.9023.401658009495900000
4Nico Daws2714750.9182.56161843698440200.62516
5Tom McCollum27121130.9292.6615800070980493210.7147

Americans 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
202076263804422231275-4438111904211124139-1538151900211107136-29702314066371292765710251581679987245255276955817792603915.00%2345676.07%31240271245.72%1300274647.34%588125147.00%176412031850571986488
202076263804422231275-4438111904211124139-1538151900211107136-29702314066371292765710251581679987245255276955817792603915.00%2345676.07%31240271245.72%1300274647.34%588125147.00%176412031850571986488
202176293804212223258-3538131802212112130-1838162002000111128-1772223398621218667655232881371478628264478472718383085317.21%3207078.13%21284276246.49%1349292346.15%573120147.71%167511171938583971470
2022762726097342422420381612043121261151138111405422116127-11892424306720386717316241176178681870247569268718683005819.33%3075681.76%81372271550.53%1392283349.14%607120250.50%178712201862581980483
202376263901622223265-4238131801312107127-2038132100310116138-226622336658920767668533271185115297335300297253022711614024.84%1734474.57%21081225148.02%904181349.86%562112849.82%165499616106781325645
Total Saison régulière38013417902223101211501315-16519064860151258593650-571907093071154557665-10836711502006315668432366320461309643914250432122313225398630609535128922917.77%126828277.76%1862171315247.27%62451306147.81%2918603348.37%864657409112298552492576
Séries éliminatoires
202219118000005751611740000035296844000002222022571021591018201815812011891883627177179485751418.67%801087.50%132867248.81%34774246.77%13226250.38%431287471150245120
Total Séries éliminatoires19118000005751611740000035296844000002222022571021591018201815812011891883627177179485751418.67%801087.50%132867248.81%34774246.77%13226250.38%431287471150245120

Americans 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
1Gemel Smith1961319-200614313.95%234518.162461000000149.64%01.1000
2Andrew Nielsen19212147286515229.09%1739620.8924690002110%00.7100
3Spencer Foo197714405274714.89%339220.672461200011040.74%00.7100
4Nils Lundkvist18211130143138484.17%4244524.74123250000100%00.5800
5Justin Auger197613-22968265412.96%1137019.501231600002050.00%00.7000

Americans 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
1Philipp Grubauer1911710.9172.691095404958801100
2Nico Daws20000.9741.18510013800000