Americans
GP: 82 | W: 54 | L: 25 | OTL: 3 | P: 111
GF: 329 | GA: 244 | PP%: 24.09% | PK%: 80.50%
DG: Jean-Nicolas Bleau | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Americans
54-25-3, 111pts
3
FINAL
1 Checkers
11-65-6, 28pts
Team Stats
L1StreakL5
30-10-1Home Record6-34-1
24-15-2Away Record5-31-5
7-3-0Last 10 Games2-7-1
4.01Buts par match 2.96
2.98Buts contre par match 6.05
24.09%Pourcentage en avantage numérique15.60%
80.50%Pourcentage en désavantage numérique72.15%
Americans
54-25-3, 111pts
2
FINAL
4 Crunch
50-23-9, 109pts
Team Stats
L1StreakW2
30-10-1Home Record26-11-4
24-15-2Away Record24-12-5
7-3-0Last 10 Games7-3-0
4.01Buts par match 4.00
2.98Buts contre par match 3.12
24.09%Pourcentage en avantage numérique18.35%
80.50%Pourcentage en désavantage numérique82.44%
Meneurs d'équipe
Thomas HarleyButs
Thomas Harley
9
Thomas HarleyPasses
Thomas Harley
41
Thomas HarleyPoints
Thomas Harley
50
Thomas HarleyPlus/Moins
Thomas Harley
15
Thomas GreissVictoires
Thomas Greiss
35
Thomas GreissPourcentage d’arrêts
Thomas Greiss
0.916

Statistiques d’équipe
Buts pour
329
4.01 GFG
Tirs pour
3132
38.20 Avg
Pourcentage en avantage numérique
24.1%
66 GF
Début de zone offensive
42.7%
Buts contre
244
2.98 GAA
Tirs contre
2670
32.56 Avg
Pourcentage en désavantage numérique
80.5%
31 GA
Début de la zone défensive
39.0%
Information d’équipe

Directeur généralJean-Nicolas Bleau
EntraîneurNeil Graham
DivisionNorth Division
ConférenceEastern Conference
CapitaineJujhar Khaira
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,946
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 80
Espoirs97


Historique d'équipe

Saison actuelle54-25-3 (111PTS)
Historique149-83-16 (0.601%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)15-8
Stanley Cup0


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
1Emil Bemstrom (R)0XX100.00623795727382837163706862726466075670241966,300$
2Denis Malgin (R)0X100.00663395706877716560616957666769075650263950,000$
3Max Comtois (R)0XX100.007654706782838268576563586665640756502411,403,000$
4William Bitten0X100.00733788677083856567646061626567075640252805,000$
5Taro Hirose (R)0X100.00623594666383886765685961656769075640271800,000$
6Fredrik Olofsson0X100.00683889627876716357596062586768075630273920,000$
7Nick Abruzzese (R)0X100.00603692666980746369645960616466075630243950,000$
8Samuel Fagemo (R)0X100.00633789647488856356596660646566075630231925,000$
9Gabriel Fortier (R)0X100.00723686626879886155585960626365075620231925,000$
10Arshdeep Bains (R)0X100.00623887607169725964625857596264075610223950,000$
11Alex Turcotte (R)0X100.00603880646976726266585960656264075610222950,000$
12Logan Hutsko (R)0X100.00583787616782816066635756596466075610242950,000$
13Adam Raska (R)0X100.00784460586673815957585960586264075600222950,000$
14Ian Mitchell (R)0X100.00603991697184796730716362546466075650241925,000$
15Joel Hanley0X100.00683792677079726630655564507274075640323840,000$
16Will Butcher0X100.00583695676984796530665856516970075630283875,000$
17Daemon Hunt (R)0X100.00653794547465705330545356456163075580213950,000$
18Axel Andersson (R)0X100.00613886557063725230545356456365075570231925,000$
Rayé
1Blake McLaughlin (R)0X100.00553688526468655152535350516365075560233950,000$
2Dylan Coghlan (R)0X100.00714091678281756630696465526567075660251925,000$
3Filip Kral (R)0X100.00693888608073755730595861506466075610242950,000$
MOYENNE D’ÉQUIPE100.0065388763717877625162605958656607562
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
1Thomas Greiss100.0081716584807981807981808391075700372900,000$
2Zach Sawchenko (R)100.0074697074737274737274736675075640262852,000$
Rayé
1Sebastian Cossa (R)100.0054555698535254535254536165075540213950,000$
MOYENNE D’ÉQUIPE100.007065648569687069687069707707563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Neil Graham65677271575389CAN371550,000$


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
1Emil BemstromAmericans (BUF)LW/RW78444084-21751221603849726311.46%25164621.127142167217000123353.25%15400011.0235100771
2Dylan CoghlanAmericans (BUF)D73185977223401351071715012010.53%111156921.507132070205000139310.00%200010.9800000265
3Max ComtoisAmericans (BUF)LW/RW8235427794952611253058922011.48%12147317.9712122462218000014243.75%11200001.05230101024
4Ian MitchellAmericans (BUF)D81185674102951111331635011511.04%113181722.4471421831970000130200.00%000000.8100001544
5Nick AbruzzeseAmericans (BUF)C82234366-31151042382166715410.65%26179821.949918312230002736150.54%239600000.7300001413
6Joel HanleyAmericans (BUF)D8274552203951651139025677.78%125152918.660227200000134200.00%000000.6800001037
7Fredrik OlofssonAmericans (BUF)LW812426507606398246761739.76%19148518.347815452070002325151.43%14000000.6700000324
8Thomas HarleySabresD5694150153401144410035769.00%77117821.04611175516700006100.00%000000.8500000232
9Will ButcherAmericans (BUF)D7064349719564668032657.50%63131818.834111538156000097100.00%000000.7400010141
10Denis MalginAmericans (BUF)C82222547196075158225571379.78%10105312.85391233156000034148.27%138600000.8914000211
11Alex TurcotteAmericans (BUF)C7817254212952717818048969.44%12121615.590118430000101150.61%155100000.6900001032
12Samuel FagemoAmericans (BUF)RW79142539131609583183461387.65%13114514.49011102500031401148.04%10200000.6800000132
13William BittenAmericans (BUF)C8014193321405411215335779.15%36568.20011619000014250.16%63400101.0100000232
14Gabriel FortierAmericans (BUF)C811315281820507991227114.29%117208.900000000051815144.61%53800000.7800000104
15Taro HiroseAmericans (BUF)LW5798171480388510638708.49%1367811.91000060003481242.31%5200000.5000000010
16Filip KralAmericans (BUF)D704131711440154576225406.45%94124117.74000926000182200.00%000000.2700000014
17Adam RaskaAmericans (BUF)RW594913620080335221457.69%44557.72011170000370035.71%2800000.5700000100
18Arshdeep BainsAmericans (BUF)LW24651157523152471725.00%226210.93033436000051159.09%2200000.8400010010
19Daemon HuntAmericans (BUF)D23178180221121394.76%4047720.781341368000011000.00%000000.3300000000
20Logan HutskoAmericans (BUF)RW40617100082234102617.65%02726.8100000000000070.59%1700000.5100000000
21Axel AnderssonAmericans (BUF)D1214582015962216.67%2022718.96101217000015000.00%000000.4400000001
22Josh MahuraSabresD50331001241530.00%77915.890000100001000.00%000000.7600000000
23Blake McLaughlinAmericans (BUF)LW2111222081173914.29%121710.3500000000000146.15%1300000.1800000000
Statistiques d’équipe totales ou en moyenne139629655585122636640180019412900843199310.21%8012252216.13641131775442023000181059461849.50%714700120.76612134414547
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
1Thomas GreissAmericans (BUF)55351510.9162.7831756114717580220.818115329431
2Zach SawchenkoAmericans (BUF)31191020.8973.19176922949100000.85772953200
Statistiques d’équipe totales ou en moyenne86542530.9102.9349448324126680220.833188282631


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam RaskaAmericans (BUF)RW229/25/2001Yes178 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Alex TurcotteAmericans (BUF)C222/26/2001Yes185 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Arshdeep BainsAmericans (BUF)LW221/9/2001Yes184 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Axel AnderssonAmericans (BUF)D232/10/2000Yes178 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Blake McLaughlinAmericans (BUF)LW232/14/2000Yes160 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Daemon HuntAmericans (BUF)D215/12/2002Yes198 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Denis MalginAmericans (BUF)C261/18/1997Yes182 Lbs5 ft9NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Dylan CoghlanAmericans (BUF)D252/19/1998Yes208 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Emil BemstromAmericans (BUF)LW/RW246/1/1999Yes195 Lbs6 ft0NoNoNo1Pro & Farm966,300$925,000$0$0$NoLien / Lien NHL
Filip KralAmericans (BUF)D2410/20/1999Yes198 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Fredrik OlofssonAmericans (BUF)LW275/27/1996No190 Lbs6 ft2NoNoNo3Pro & Farm920,000$920,000$0$0$No920,000$920,000$Lien / Lien NHL
Gabriel FortierAmericans (BUF)C232/6/2000Yes177 Lbs5 ft10NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Ian MitchellAmericans (BUF)D241/18/1999Yes193 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Joel HanleyAmericans (BUF)D326/8/1991No190 Lbs5 ft11NoNoNo3Pro & Farm840,000$840,000$0$0$No840,000$840,000$Lien / Lien NHL
Logan HutskoAmericans (BUF)RW241/11/1999Yes172 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Max Comtois (contrat à 1 volet)Americans (BUF)LW/RW241/8/1999Yes210 Lbs6 ft2NoNoNo1Pro & Farm1,403,000$1,156,000$1,403,000$0$NoLien / Lien NHL
Nick AbruzzeseAmericans (BUF)C246/4/1999Yes183 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Samuel FagemoAmericans (BUF)RW233/14/2000Yes200 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Sebastian CossaAmericans (BUF)G2111/21/2002Yes229 Lbs6 ft6NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Taro HiroseAmericans (BUF)LW276/30/1996Yes162 Lbs5 ft10NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Thomas GreissAmericans (BUF)G371/29/1986No219 Lbs6 ft2NoNoYes2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Will ButcherAmericans (BUF)D281/6/1995No190 Lbs5 ft10NoNoNo3Pro & Farm875,000$875,000$0$0$No875,000$875,000$Lien / Lien NHL
William BittenAmericans (BUF)C257/10/1998No180 Lbs5 ft11NoNoNo2Pro & Farm805,000$550,000$0$0$No805,000$Lien / Lien NHL
Zach SawchenkoAmericans (BUF)G2612/30/1997Yes185 Lbs6 ft1NoNoNo2Pro & Farm852,000$852,000$0$0$No852,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.88189 Lbs6 ft02.04936,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil BemstromNick AbruzzeseSamuel Fagemo40122
2Fredrik OlofssonAlex TurcotteMax Comtois30122
3Taro HiroseDenis MalginWilliam Bitten20122
4Arshdeep BainsGabriel FortierLogan Hutsko10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam RaskaDaemon Hunt35122
2Ian MitchellAxel Andersson35122
3Joel HanleyWill Butcher20122
4Joel HanleyWill Butcher10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel FagemoNick AbruzzeseEmil Bemstrom60122
2Fredrik OlofssonDenis MalginMax Comtois40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam RaskaDaemon Hunt60122
2Ian MitchellWill Butcher40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gabriel FortierTaro Hirose60122
2Nick AbruzzeseFredrik Olofsson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Axel AnderssonJoel Hanley60122
2Will ButcherIan Mitchell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1William Bitten60122Adam RaskaDaemon Hunt60122
2Denis Malgin40122Joel HanleyAxel Andersson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex TurcotteTaro Hirose60122
2Gabriel FortierWilliam Bitten40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherJoel Hanley60122
2Axel AnderssonDaemon Hunt40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil BemstromNick AbruzzeseMax ComtoisAxel AnderssonDaemon Hunt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fredrik OlofssonGabriel FortierWilliam BittenJoel HanleyIan Mitchell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Fredrik Olofsson, Nick Abruzzese, Taro HiroseDenis Malgin, Logan HutskoAlex Turcotte
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Hanley, Ian Mitchell, Will ButcherAxel AnderssonIan Mitchell, Joel Hanley
Tirs de pénalité
Emil Bemstrom, Alex Turcotte, Denis Malgin, Max Comtois, Taro Hirose
Gardien
#1 : Thomas Greiss, #2 : Zach Sawchenko
Lignes d’attaque personnalisées en prolongation
Taro Hirose, Max Comtois, Arshdeep Bains, Emil Bemstrom, Fredrik Olofsson, Denis Malgin, Denis Malgin, Alex Turcotte, Nick Abruzzese, Gabriel Fortier, Samuel Fagemo
Lignes de défense personnalisées en prolongation
Axel Andersson, Ian Mitchell, Daemon Hunt, Joel Hanley, Will Butcher


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
1Admirals220000001064110000005321100000053241.000102030001271138297510611058999315317437700.00%20100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
2Barracuda21100000743110000005141010000023-120.500713200012711382965106110589993158160374125.00%000.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
3Bears321000001284211000006601100000062440.6671221330012711382910710611058999311193018531100.00%9277.78%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
4Bruins3210000011101220000009721010000023-140.6671122330012711382985106110589993111835167610440.00%5180.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
5Checkers330000001468110000007252200000074361.0001424380012711382913210611058999311082514964250.00%7357.14%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
6Comets21100000725110000007071010000002-220.5007132001127113829811061105899931532463811218.18%2150.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
7Condors21100000550110000002021010000035-220.50059141112711382972106110589993168234508225.00%20100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
8Crunch4210010014104210001006422110000086250.62514274100127113829138106110589993111641199413430.77%70100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
9Devils31200000141401100000074320200000710-320.33314264000127113829128106110589993114146168211100.00%7185.71%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
10Eagles201000107701010000034-11000001043120.50078150012711382961106110589993177211456300.00%6183.33%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
11Firebirds220000001156110000006331100000052341.0001122330012711382910010611058999316319104613215.38%4175.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
12Griffins4310000016882200000011382110000055060.75016314700127113829176106110589993110536119719315.79%30100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
13Gulls220000001129110000005141100000061541.0001121320012711382984106110589993159184434250.00%20100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
14IceHogs21100000101001010000056-11100000054120.50010203000127113829761061105899931742184110440.00%30100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
15Marlies4210010015132211000007702100010086250.62515243900127113829143106110589993113242149416318.75%6183.33%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
16Monsters32100000963211000004401100000052340.66791726001271138291121061105899931852013809222.22%30100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
17Moose220000001257110000008441100000041341.000122335001271138298210611058999315117106310440.00%30100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
18Penguins312000001113-21010000046-22110000077020.33311193000127113829104106110589993110628186917423.53%8275.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
19Phantoms321000001165211000008441100000032140.6671118290012711382911310611058999311023712831119.09%60100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
20Reign20200000510-51010000035-21010000025-300.000581310127113829661061105899931711312537114.29%5180.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
21Roadrunners21100000651110000004131010000024-220.5006101600127113829731061105899931692416405240.00%80100.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
22Rocket4310000017116220000008352110000098160.75017294601127113829159106110589993111027208413323.08%9277.78%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
23Senators43000010181172200000084421000010107381.00018345200127113829186106110589993113038268614535.71%11281.82%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
24Silver Knights21001000862110000003211000100054141.000814220012711382976106110589993144196475120.00%3166.67%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
25Sound Tigers31200000910-1211000008711010000013-220.3339162500127113829991061105899931953810737228.57%5180.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
26Stars211000008621010000035-21100000051420.5008142200127113829711061105899931622531366233.33%7185.71%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
27Thunderbirds20100010911-2100000107611010000025-320.5009142300127113829711061105899931852713483133.33%4175.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
28Wild20001001990100010005411000000145-130.7509162500127113829861061105899931671212548337.50%6350.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
29Wolf Pack3200100014861000100043122000000105561.000142438001271138291181061105899931952918688112.50%7271.43%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
30Wolves3110001010100110000005412010001056-140.667101727001271138291171061105899931933910769222.22%4250.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
31Wranglers22000000972110000006511100000032141.0009162500127113829761061105899931612515448225.00%5260.00%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
Total8247250324132924485412710021101791186141201501131150126241110.6773295909192312711382931321061105899931267083240019442746624.09%1593180.50%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
_Since Last GM Reset8247250324132924485412710021101791186141201501131150126241110.6773295909192312711382931321061105899931267083240019442746624.09%1593180.50%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
_Vs Conference452813012101841246022155011009555402313800110896920620.6891843285120212711382917651061105899931149846622110491483422.97%981881.63%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
_Vs Division26146002101056936139100100563026135500110493910320.6151051912960112711382910191061105899931819244120627892426.97%48981.25%01560311150.14%1406284349.45%654133748.92%2054146518525751043531

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82111L132959091931322670832400194423
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8247253241329244
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4127102110179118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120151131150126
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2746624.09%1593180.50%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
1061105899931127113829
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
1560311150.14%1406284349.45%654133748.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2054146518525751043531


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
3 - 2023-10-1210Wolf Pack3Americans4BWXSommaire du match
5 - 2023-10-1427Americans1Sound Tigers3ALSommaire du match
8 - 2023-10-1740Crunch3Americans2BLXSommaire du match
10 - 2023-10-1951Wranglers5Americans6BWSommaire du match
12 - 2023-10-2167Sound Tigers4Americans0BLSommaire du match
14 - 2023-10-2382Rocket3Americans5BWSommaire du match
15 - 2023-10-2485Americans6Senators4AWSommaire du match
18 - 2023-10-27113Americans2Devils3ALSommaire du match
20 - 2023-10-29126Eagles4Americans3BLSommaire du match
23 - 2023-11-01141Americans3Phantoms2AWSommaire du match
25 - 2023-11-03157Phantoms2Americans1BLSommaire du match
26 - 2023-11-04165Americans2Marlies3ALXSommaire du match
29 - 2023-11-07180Americans3Wolves2AWXXSommaire du match
32 - 2023-11-10204Wild4Americans5BWXSommaire du match
33 - 2023-11-11217Americans4Penguins6ALSommaire du match
36 - 2023-11-14229Bruins4Americans5BWSommaire du match
39 - 2023-11-17252Americans4Moose1AWSommaire du match
41 - 2023-11-19270Americans5IceHogs4AWSommaire du match
44 - 2023-11-22285Americans6Bears2AWSommaire du match
46 - 2023-11-24301Penguins6Americans4BLSommaire du match
47 - 2023-11-25310Americans5Devils7ALSommaire du match
49 - 2023-11-27322Americans5Wolf Pack1AWSommaire du match
52 - 2023-11-30348Americans2Thunderbirds5ALSommaire du match
54 - 2023-12-02360Americans2Wolves4ALSommaire du match
55 - 2023-12-03372Admirals3Americans5BWSommaire du match
57 - 2023-12-05380Griffins2Americans6BWSommaire du match
59 - 2023-12-07392Americans2Bruins3ALSommaire du match
61 - 2023-12-09411Rocket0Americans3BWSommaire du match
63 - 2023-12-11428Roadrunners1Americans4BWSommaire du match
65 - 2023-12-13445Americans4Eagles3AWXXSommaire du match
67 - 2023-12-15460Americans5Silver Knights4AWXSommaire du match
68 - 2023-12-16470Americans2Roadrunners4ALSommaire du match
71 - 2023-12-19485Monsters1Americans3BWSommaire du match
73 - 2023-12-21498Marlies4Americans3BLSommaire du match
75 - 2023-12-23522Americans5Wolf Pack4AWSommaire du match
79 - 2023-12-27532Bruins3Americans4BWSommaire du match
82 - 2023-12-30556Monsters3Americans1BLSommaire du match
83 - 2023-12-31566Americans4Senators3AWXXSommaire du match
87 - 2024-01-04590Americans6Rocket3AWSommaire du match
89 - 2024-01-06613Americans3Penguins1AWSommaire du match
92 - 2024-01-09625Firebirds3Americans6BWSommaire du match
94 - 2024-01-11638Senators2Americans4BWSommaire du match
96 - 2024-01-13654Comets0Americans7BWSommaire du match
98 - 2024-01-15672Barracuda1Americans5BWSommaire du match
100 - 2024-01-17691IceHogs6Americans5BLSommaire du match
103 - 2024-01-20706Crunch1Americans4BWSommaire du match
106 - 2024-01-23737Americans6Gulls1AWSommaire du match
107 - 2024-01-24745Americans2Reign5ALSommaire du match
110 - 2024-01-27761Americans2Barracuda3ALSommaire du match
120 - 2024-02-06784Stars5Americans3BLSommaire du match
124 - 2024-02-10804Thunderbirds6Americans7BWXXSommaire du match
127 - 2024-02-13824Reign5Americans3BLSommaire du match
129 - 2024-02-15838Checkers2Americans7BWSommaire du match
131 - 2024-02-17853Americans4Wild5ALXXSommaire du match
133 - 2024-02-19866Gulls1Americans5BWSommaire du match
135 - 2024-02-21884Americans3Rocket5ALSommaire du match
137 - 2024-02-23900Americans5Monsters2AWSommaire du match
139 - 2024-02-25920Wolves4Americans5BWSommaire du match
141 - 2024-02-27928Americans4Checkers3AWSommaire du match
143 - 2024-02-29945Americans6Crunch2AWSommaire du match
145 - 2024-03-02960Silver Knights2Americans3BWSommaire du match
146 - 2024-03-03972Moose4Americans8BWSommaire du match
149 - 2024-03-06990Americans6Marlies3AWSommaire du match
150 - 2024-03-071000Americans5Admirals3AWSommaire du match
152 - 2024-03-091009Condors0Americans2BWSommaire du match
155 - 2024-03-121031Griffins1Americans5BWSommaire du match
157 - 2024-03-141045Sound Tigers3Americans8BWSommaire du match
159 - 2024-03-161059Americans2Griffins1AWSommaire du match
161 - 2024-03-181081Americans5Firebirds2AWSommaire du match
162 - 2024-03-191093Americans0Comets2ALSommaire du match
164 - 2024-03-211104Americans3Condors5ALSommaire du match
167 - 2024-03-241133Americans3Wranglers2AWSommaire du match
170 - 2024-03-271148Senators2Americans4BWSommaire du match
172 - 2024-03-291164Devils4Americans7BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301171Marlies3Americans4BWSommaire du match
176 - 2024-04-021189Bears3Americans2BLSommaire du match
179 - 2024-04-051211Phantoms2Americans7BWSommaire du match
181 - 2024-04-071228Americans3Griffins4ALSommaire du match
183 - 2024-04-091246Americans5Stars1AWSommaire du match
185 - 2024-04-111255Bears3Americans4BWSommaire du match
187 - 2024-04-131273Americans3Checkers1AWSommaire du match
189 - 2024-04-151290Americans2Crunch4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,53440,237
Assistance PCT98.21%98.14%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2946 - 98.19% 79,784$3,271,131$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,714,778$ 2,108,330$ 1,838,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,981$ 2,156,412$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,845$ 0$




Americans Leaders statistiques (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
1Max Comtois24013415428845122676426105112.75%44458419.10344175190000014651.51%41.2624
2Emil Bemstrom239101107208223718435892510.92%50431318.0512304212201139554.03%20.9636
3Ian Mitchell2414216120347913213174559.23%366553622.971738552240223520.00%00.7300
4Dylan Coghlan190301141444011233821129210.27%252399321.021323361160002420.00%10.7200
5Thomas Harley194321051372413939614329210.96%230372419.201727441380000710.00%00.7400

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
1Zach Sawchenko81462240.8953.3542958324022820000.91712
2Laurent Brossoit68402440.9023.2839018421321710210.8336
3Thomas Greiss55351510.9162.7831756114717580220.81811
4Alex Stalock3317910.8923.41158521908340000.0000
5Michael McNiven207430.8973.45104421605850020.3333

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
23824128055123342785641201302312166147194121150320016813137101334606940351201061026318310271031109438275979551318542536023.72%2204878.18%41822316957.49%1563290153.88%796142855.74%2129153817995571023533
2022824230054103442915341181604210181161204124140120016313033100344628972121161151076321010341106105223267079357119202747125.91%2424780.58%11816320456.68%1514279854.11%813142657.01%2133152717805631027536
20238247250324132924485412710021101791186141201501131150126241113295909192312711382931321061105899931267083240019442746624.09%1593180.50%01560311150.14%1406284349.45%654133748.92%2054146518525751043531
Total Saison régulière24613083013116310078131941236539086325264261001236544055314813879431210071824283161036333429121952531223195314592809924201484571880119724.59%62112679.71%55198948454.81%4483854252.48%2263419154.00%631745325432169530951601
Séries éliminatoires
2022231580000095761911740000047351212840000048417309516926400353027384325628827524812241191605611626.23%781185.90%243484551.36%41885548.89%19938152.23%563394557165297150
Total Séries éliminatoires231580000095761911740000047351212840000048417309516926400353027384325628827524812241191605611626.23%781185.90%243484551.36%41885548.89%19938152.23%563394557165297150

Americans Leaders statistiques (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
1Max Comtois22131326414494411111.71%444920.451122000003150.00%01.1600
2Alexander Barabanov231015251004448112.35%141317.961561700003034.38%01.2100
3Dylan Coghlan2361622101838354613.04%4156924.76246240000110.00%00.7700
4Emil Bemstrom237132030629987.14%247620.702241400002057.14%00.8400
5Ian Mitchell23414186836263611.11%3946020.03246140221100.00%00.7800

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
1Zach Sawchenko1610500.9053.1493500495180000.0000
2Alex Stalock74200.9004.1733100232310000.0000
3Mikhail Berdin41010.9371.59151004630000.0000