Americans
GP: 82 | W: 48 | L: 25 | OTL: 9 | P: 105
GF: 327 | GA: 252 | PP%: 20.74% | PK%: 82.35%
DG: Jean-Nicolas Bleau | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Americans
48-25-9, 105pts
3
FINAL
4 IceHogs
53-24-5, 111pts
Team Stats
W1StreakL1
25-13-3Home Record27-11-3
23-12-6Away Record26-13-2
6-3-1Last 10 Games3-7-0
3.99Buts par match 3.82
3.07Buts contre par match 3.26
20.74%Pourcentage en avantage numérique22.05%
82.35%Pourcentage en désavantage numérique77.54%
Stars
43-31-8, 94pts
2
FINAL
5 Americans
48-25-9, 105pts
Team Stats
L4StreakW1
21-16-4Home Record25-13-3
22-15-4Away Record23-12-6
5-4-1Last 10 Games6-3-1
3.84Buts par match 3.99
3.67Buts contre par match 3.07
24.33%Pourcentage en avantage numérique20.74%
74.32%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Joey KeaneButs
Joey Keane
1
Joey KeanePasses
Joey Keane
4
Joey KeanePoints
Joey Keane
5
Joey KeanePlus/Moins
Joey Keane
12
Sebastian CossaVictoires
Sebastian Cossa
47
Sebastian CossaPourcentage d’arrêts
Sebastian Cossa
0.907

Statistiques d’équipe
Buts pour
327
3.99 GFG
Tirs pour
3329
40.60 Avg
Pourcentage en avantage numérique
20.7%
56 GF
Début de zone offensive
43.7%
Buts contre
252
3.07 GAA
Tirs contre
2685
32.74 Avg
Pourcentage en désavantage numérique
82.4%
33 GA
Début de la zone défensive
37.5%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,980
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 80
Espoirs101


Historique d'équipe

Saison actuelle48-25-9 (105PTS)
Historique94-55-13 (0.580%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)14-11
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 moyen
1Sam Colangelo (R)0X100.00733991728387746866636962716465075660233950,000$
2Alex Turcotte (R)0X100.006436907170798367726862636964660756502411,170,000$
3Drake Caggiula0XXX100.00683972656783816269646163627273075640311750,000$
4Samuel Fagemo (R)0X100.00643785657489836458616663676568075640252956,700$
5Amadeus Lombardi (R)0X100.00633693656378816471636261656364075630222950,000$
6Nick Abruzzese (R)0X100.00603693666980876471635857606668075630261950,000$
7Landon Slaggert (R)0X100.00633785667079766458625965616364075630232950,000$
8Arshdeep Bains (R)0X100.00643785637177846270645961626465075620241950,000$
9Brandon Gignac (R)0XX100.00613878637084756168605864626870075620272751,000$
10Kyle McDonald (R)0X100.00824284569173795556535758566365075610232950,000$
11Hunter Haight (R)0X100.00563786606587725963566155596263075600213950,000$
12Daemon Hunt (R)0X100.00673887637874836230615865496365075630231950,000$
13Filip Kral (R)0X100.00713984588071725730615559476668075610253950,000$
14Luke Prokop (R)0X100.00885192549765665330555159456365075600233950,000$
15Carson Lambos (R)0X100.00684075577767865630555458466264075590222950,000$
16Christian Kyrou (R)0X100.00573692586668775730595556476264075590222950,000$
17Gavin White (R)0X100.00653792557468775430565253466365075580222950,000$
Rayé
1Noah Philp0X100.00723986638385726265606163626769075630272871,000$
2Jack Malone (R)0X100.00663795567668705351525554576567075590243950,000$
3Justin Ertel (R)0X100.00704077587965635661595457556264075590223950,000$
4Blake McLaughlin (R)0XX100.00553689596468675760585354566567075580251950,000$
5David Goyette (R)0X100.00563788586569705663575554586163075580213950,000$
6Gavin Brindley (R)0X100.00553686596479695862555457566163075580213950,000$
7Joel Hanley0X100.00704383677087776330685665517475075640341840,000$
MOYENNE D’ÉQUIPE100.0066388662747676605460585957656607561
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 moyen
1Sebastian Cossa (R)100.0077878398767577767577766369075670221950,000$
2Will Cranley (R)100.0058706683575658575658576369075560233950,000$
Rayé
MOYENNE D’ÉQUIPE100.006879759167666867666867636907562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Neil Graham63677372605687CAN391550,000$


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
1Alex TurcotteAmericans (BUF)C7533568923220106251347862439.51%19148719.835152060226000026255.72%198300021.20010001024
2Samuel FagemoAmericans (BUF)RW82354782203001261233298620510.64%19137016.719112058206000004249.52%10500001.2024000333
3Landon SlaggertAmericans (BUF)LW82364379161601111603339322710.81%24169820.7171118622310001382147.19%17800000.9311000158
4Sam ColangeloAmericans (BUF)RW6935397414180153145355952359.86%9138020.01781546190000015252.73%11000031.07240005112
5Amadeus LombardiAmericans (BUF)C81205070184086230261862207.66%18153318.933912371710003563154.33%151300000.9100000443
6Drake CaggiulaAmericans (BUF)C/LW/RW8226416712280187116316752118.23%14138716.9251722572160000252153.41%24900000.9702000541
7Nick AbruzzeseAmericans (BUF)C821834521620291351715514710.53%8112513.731349520001463152.58%125900000.9200000331
8Arshdeep BainsAmericans (BUF)LW81202848182001111021995416710.05%19114014.0800000000013148.35%9100000.8400000324
9Joel HanleyAmericans (BUF)D56103646943151139610833789.26%87128022.8671017581410001108100.00%000000.7200102023
10Daemon HuntAmericans (BUF)D8210354510340124102144531016.94%144192023.42448572080002151100.00%100000.4700000222
11Filip KralAmericans (BUF)D6773542153951085867236510.45%66129719.36591433176000138300.00%200000.6500100120
12Noah PhilpAmericans (BUF)C80172239-2160521681684914110.12%1790611.3410182110181543157.64%117100000.8600000001
13Brandon GignacAmericans (BUF)C/LW51161430131804377116238713.79%1364812.71000000002374150.98%45700000.9300000031
14Carson LambosAmericans (BUF)D82524290400155378428695.95%111161319.68268241620001109100.00%000000.3600000012
15Christian KyrouAmericans (BUF)D63225271613532603913365.13%67120819.180119530110660038.68%10600000.4500001001
16Kyle McDonaldAmericans (BUF)RW77131225037510744117378111.11%1482410.710001100051070143.48%6900000.6100001102
17Hunter HaightAmericans (BUF)C45131124220344876225217.11%1481718.16000000003741259.20%17400000.5900000122
18Luke ProkopAmericans (BUF)D7032124336420168374614256.52%94123617.67011520000067110.00%000000.3900112125
19Blake McLaughlinAmericans (BUF)LW/RW15325140361561220.00%21197.97000000000171025.00%400000.8400000000
20Joey KeaneSabresD1114512007673614.29%1420418.6200016000022100.00%000000.4900000000
21Gavin WhiteAmericans (BUF)D10011-3201337330.00%922922.93000223000015000.00%000000.0900000000
22Justin ErtelAmericans (BUF)LW6011-220519020.00%510317.3300000000000033.33%300000.1900000000
23Jack MaloneAmericans (BUF)RW5000000400120.00%3448.9300000000000025.00%400000.0000000000
Statistiques d’équipe totales ou en moyenne13543235819042414545018772005331493824159.75%7902357717.41561051615272114112281143451754.08%747900050.77512316404845
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
1Sebastian CossaAmericans (BUF)80472380.9072.9947188523525270400.76913793503
2Will CranleyAmericans (BUF)61210.8993.9324400161580000.0000379001
Statistiques d’équipe totales ou en moyenne86482590.9073.0449628525126850400.769138282504


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
Alex TurcotteAmericans (BUF)C242001-02-26Yes185 Lbs5 ft11NoNoNo1Pro & Farm1,170,000$1,170,000$0$0$NoLien / Lien NHL
Amadeus LombardiAmericans (BUF)C222003-06-05Yes165 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Arshdeep BainsAmericans (BUF)LW242001-01-09Yes184 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Blake McLaughlinAmericans (BUF)LW/RW252000-02-14Yes160 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Brandon GignacAmericans (BUF)C/LW271997-11-07Yes170 Lbs5 ft11NoNoNo2Pro & Farm751,000$751,000$0$0$No751,000$Lien / Lien NHL
Carson LambosAmericans (BUF)D222003-01-14Yes197 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Christian KyrouAmericans (BUF)D222003-09-16Yes166 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Daemon HuntAmericans (BUF)D232002-05-12Yes201 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
David GoyetteAmericans (BUF)C212004-03-27Yes172 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Drake CaggiulaAmericans (BUF)C/LW/RW311994-06-20No179 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Filip KralAmericans (BUF)D251999-10-20Yes198 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Gavin BrindleyAmericans (BUF)C212004-10-05Yes175 Lbs5 ft9NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Gavin WhiteAmericans (BUF)D222002-11-12Yes196 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Hunter HaightAmericans (BUF)C212004-04-04Yes173 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jack MaloneAmericans (BUF)RW242000-10-13Yes191 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Joel HanleyAmericans (BUF)D341991-06-08No186 Lbs5 ft11NoNoNo1Pro & Farm840,000$840,000$0$0$NoLien / Lien NHL
Justin ErtelAmericans (BUF)LW222003-05-27Yes192 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Kyle McDonaldAmericans (BUF)RW232002-02-05Yes221 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Landon SlaggertAmericans (BUF)LW232002-06-25Yes180 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Luke ProkopAmericans (BUF)D232002-06-05Yes224 Lbs6 ft6NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Nick AbruzzeseAmericans (BUF)C261999-06-04Yes183 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Noah PhilpAmericans (BUF)C271998-08-31No198 Lbs6 ft3NoNoNo2Pro & Farm871,000$871,000$0$0$No871,000$Lien / Lien NHL
Sam ColangeloAmericans (BUF)RW232001-12-26Yes211 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Samuel FagemoAmericans (BUF)RW252000-03-14Yes200 Lbs6 ft0NoNoNo2Pro & Farm956,700$956,700$0$0$No956,700$Lien / Lien NHL
Sebastian CossaAmericans (BUF)G222002-11-21Yes229 Lbs6 ft6NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Will CranleyAmericans (BUF)G232002-02-26Yes183 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.04189 Lbs6 ft12.04936,104$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake CaggiulaAmadeus LombardiSam Colangelo30122
2Landon SlaggertBrandon GignacSamuel Fagemo26122
3Arshdeep BainsAlex TurcotteNick Abruzzese24122
4Hunter HaightKyle McDonald20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin WhiteDaemon Hunt35122
2Filip KralLuke Prokop35122
3Carson LambosChristian Kyrou20122
4Carson LambosChristian Kyrou10212
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake CaggiulaAlex TurcotteSam Colangelo60122
2Landon SlaggertNick AbruzzeseSamuel Fagemo40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin WhiteDaemon Hunt50023
2Filip KralChristian Kyrou50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Amadeus LombardiKyle McDonald50122
2Nick AbruzzeseHunter Haight50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin WhiteDaemon Hunt60122
2Filip KralLuke Prokop40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Amadeus Lombardi50122Filip KralDaemon Hunt60122
2Nick Abruzzese50212Christian KyrouLuke Prokop40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Amadeus LombardiArshdeep Bains60122
2Hunter Haight40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin WhiteDaemon Hunt50122
2Carson LambosLuke Prokop50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drake CaggiulaAlex TurcotteSam ColangeloGavin WhiteDaemon Hunt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon GignacAmadeus LombardiKyle McDonaldFilip KralDaemon Hunt
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Amadeus Lombardi, Nick Abruzzese, Amadeus Lombardi, Nick AbruzzeseAmadeus Lombardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Prokop, Carson Lambos, Christian KyrouLuke ProkopFilip Kral, Carson Lambos
Tirs de pénalité
Sam Colangelo, Drake Caggiula, Samuel Fagemo, Landon Slaggert, Amadeus Lombardi
Gardien
#1 : Sebastian Cossa, #2 : Will Cranley
Lignes d’attaque personnalisées en prolongation
Sam Colangelo, Drake Caggiula, Samuel Fagemo, Landon Slaggert, Amadeus Lombardi, Nick Abruzzese, Nick Abruzzese, , Brandon Gignac, Arshdeep Bains, Kyle McDonald
Lignes de défense personnalisées en prolongation
Gavin White, Daemon Hunt, Christian Kyrou, Luke Prokop, Carson Lambos


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
1Admirals21000001651110000004221000000123-130.75061117001271009487810971086110850672010536233.33%5180.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
2Barracuda2010100079-21010000014-31000100065120.5007111800127100948791097108611085077201249700.00%6183.33%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
3Bears330000001931622000000152131100000041361.000193352011271009481301097108611085070196608337.50%30100.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
4Bruins43000100191182200000011382100010088070.875193453011271009481451097108611085012132209817423.53%7271.43%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
5Checkers4300100028121622000000123921001000169781.000284775001271009482171097108611085013443141078337.50%6183.33%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
6Comets2020000048-41010000034-11010000014-300.000481200127100948821097108611085081151352700.00%4175.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
7Condors21000010642100000103211100000032141.00061016001271009486410971086110850683410495120.00%5180.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
8Crunch41300000916-72020000015-421100000811-320.25091524001271009481311097108611085012433167716318.75%6266.67%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
9Devils31100100131301000010023-1211000001110130.5001323360012710094811410971086110850903086913215.38%4250.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
10Eagles22000000936110000004131100000052341.00091524001271009488010971086110850542214537114.29%7185.71%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
11Firebirds210000101073100000104311100000064241.000101525001271009487710971086110850722414455120.00%6266.67%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
12Griffins330000002351822000000153121100000082661.0002342650112710094820010971086110850983316609222.22%70100.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
13Gulls2020000037-41010000014-31010000023-100.000369001271009488910971086110850882718505120.00%9188.89%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
14IceHogs2010010058-31010000024-21000010034-110.250581300127100948711097108611085071211648500.00%70100.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
15Marlies41100200151502010010079-22100010086240.500152742001271009481721097108611085013126238917423.53%8362.50%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
16Monsters31200000911-2211000008801010000013-220.333915240012710094891109710861108501022218636116.67%8275.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
17Moose22000000954110000004311100000052341.0009172600127100948751097108611085045208545240.00%4175.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
18Penguins31200000911-21010000024-22110000077020.33391726001271009489010971086110850933117677228.57%50100.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
19Phantoms3110010079-2210001006601010000013-230.500713200012710094810510971086110850892712728112.50%60100.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
20Reign21100000880110000006421010000024-220.500816240012710094879109710861108506625144010440.00%7185.71%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
21Roadrunners211000005501010000023-11100000032120.50051015001271009486710971086110850751738305120.00%10190.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
22Rocket431000001861222000000131122110000055060.750183250011271009482281097108611085015949251021317.69%8187.50%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
23Senators31101000880100010002112110000067-140.667812200012710094897109710861108508231126710330.00%6183.33%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
24Silver Knights220000001385110000005411100000084441.000132538001271009481121097108611085061228526233.33%4175.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
25Sound Tigers30200100612-62020000038-51000010034-110.1676121800127100948105109710861108501202914629222.22%7185.71%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
26Stars220000001055110000005231100000053241.00010192900127100948761097108611085055246425120.00%20100.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
27Thunderbirds2200000015510110000009361100000062441.0001527420012710094810810971086110850873512536116.67%6183.33%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
28Wild21100000972110000008531010000012-120.500918270012710094871109710861108505211104116531.25%5180.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
29Wolf Pack3100011015114110000008442000011077050.833152540001271009481351097108611085010329247012216.67%5180.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
30Wolves32100000610-41100000020221100000410-640.667612180112710094888109710861108501002525681119.09%10280.00%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
31Wranglers2110000045-11010000003-31100000042220.500471100127100948731097108611085050101342600.00%4175.00%11785326654.65%1529280154.59%755140453.77%2135152417805671053545
Total8242250383132725275412213013201681115741201202511159141181050.64032758290905127100948332910971086110850268580646618842705620.74%1873382.35%11785326654.65%1529280154.59%755140453.77%2135152417805671053545
_Since Last GM Reset8242250383132725275412213013201681115741201202511159141181050.64032758290905127100948332910971086110850268580646618842705620.74%1873382.35%11785326654.65%1529280154.59%755140453.77%2135152417805671053545
_Vs Conference502515027102041535125147013001076047251180141097934630.63020435956305127100948204810971086110850161645925011311643420.73%961881.25%01785326654.65%1529280154.59%755140453.77%2135152417805671053545
_Vs Division26156023001207347138301100612536137301200594811370.71212020932903127100948119010971086110850849247126600902022.22%481079.17%01785326654.65%1529280154.59%755140453.77%2135152417805671053545

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82105W132758290933292685806466188405
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8242253831327252
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122131320168111
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120122511159141
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2705620.74%1873382.35%1
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
10971086110850127100948
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
1785326654.65%1529280154.59%755140453.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2135152417805671053545


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 - 2025-10-099Wolf Pack4Americans8BWSommaire du match
5 - 2025-10-1124Americans3Bruins4ALXSommaire du match
7 - 2025-10-1339Eagles1Americans4BWSommaire du match
9 - 2025-10-1557Senators1Americans2BWXSommaire du match
12 - 2025-10-1876Checkers1Americans6BWSommaire du match
14 - 2025-10-2095Americans2Rocket1AWSommaire du match
16 - 2025-10-22109Griffins0Americans7BWSommaire du match
18 - 2025-10-24125Marlies6Americans5BLXSommaire du match
19 - 2025-10-25132Americans4Marlies5ALXSommaire du match
22 - 2025-10-28153Monsters5Americans3BLSommaire du match
24 - 2025-10-30167Americans5Bruins4AWSommaire du match
26 - 2025-11-01186Bears0Americans9BWSommaire du match
29 - 2025-11-04203Roadrunners3Americans2BLSommaire du match
31 - 2025-11-06219Thunderbirds3Americans9BWSommaire du match
33 - 2025-11-08238Americans0Wolves7ALSommaire du match
37 - 2025-11-12267Americans3Roadrunners2AWSommaire du match
38 - 2025-11-13275Americans5Eagles2AWSommaire du match
40 - 2025-11-15287Americans8Griffins2AWSommaire du match
42 - 2025-11-17302Condors2Americans3BWXXSommaire du match
44 - 2025-11-19316Wranglers3Americans0BLSommaire du match
46 - 2025-11-21331IceHogs4Americans2BLSommaire du match
48 - 2025-11-23347Wolves0Americans2BWSommaire du match
51 - 2025-11-26366Americans4Penguins3AWSommaire du match
53 - 2025-11-28379Devils3Americans2BLXSommaire du match
54 - 2025-11-29399Americans1Wild2ALSommaire du match
56 - 2025-12-01408Moose3Americans4BWSommaire du match
58 - 2025-12-03423Americans1Phantoms3ALSommaire du match
60 - 2025-12-05437Americans5Moose2AWSommaire du match
63 - 2025-12-08463Americans4Wranglers2AWSommaire du match
64 - 2025-12-09474Americans3Condors2AWSommaire du match
66 - 2025-12-11492Americans1Comets4ALSommaire du match
69 - 2025-12-14513Americans6Firebirds4AWSommaire du match
73 - 2025-12-18540Phantoms4Americans3BLXSommaire du match
75 - 2025-12-20553Sound Tigers3Americans1BLSommaire du match
76 - 2025-12-21565Americans6Devils7ALSommaire du match
78 - 2025-12-23579Americans4Senators2AWSommaire du match
82 - 2025-12-27589Bruins3Americans8BWSommaire du match
84 - 2025-12-29610Americans6Thunderbirds2AWSommaire du match
86 - 2025-12-31628Americans5Stars3AWSommaire du match
89 - 2026-01-03646Americans1Monsters3ALSommaire du match
92 - 2026-01-06667Comets4Americans3BLSommaire du match
94 - 2026-01-08685Americans4Wolf Pack5ALXSommaire du match
96 - 2026-01-10701Gulls4Americans1BLSommaire du match
98 - 2026-01-12716Checkers2Americans6BWSommaire du match
100 - 2026-01-14736Phantoms2Americans3BWSommaire du match
101 - 2026-01-15740Rocket0Americans6BWSommaire du match
103 - 2026-01-17754Wild5Americans8BWSommaire du match
105 - 2026-01-19770Americans4Wolves3AWSommaire du match
106 - 2026-01-20784Americans2Admirals3ALXXSommaire du match
108 - 2026-01-22795Americans3Rocket4ALSommaire du match
110 - 2026-01-24810Americans3Sound Tigers4ALXSommaire du match
113 - 2026-01-27831Americans4Marlies1AWSommaire du match
115 - 2026-01-29844Reign4Americans6BWSommaire du match
117 - 2026-01-31865Rocket1Americans7BWSommaire du match
119 - 2026-02-02876Americans6Checkers5AWXSommaire du match
120 - 2026-02-03889Americans5Crunch4AWSommaire du match
122 - 2026-02-05903Penguins4Americans2BLSommaire du match
142 - 2026-02-25910Americans5Devils3AWSommaire du match
144 - 2026-02-27930Americans10Checkers4AWSommaire du match
145 - 2026-02-28942Americans3Crunch7ALSommaire du match
148 - 2026-03-03960Silver Knights4Americans5BWSommaire du match
150 - 2026-03-05977Americans3Penguins4ALSommaire du match
152 - 2026-03-07992Admirals2Americans4BWSommaire du match
153 - 2026-03-081003Crunch4Americans1BLSommaire du match
155 - 2026-03-101013Barracuda4Americans1BLSommaire du match
157 - 2026-03-121028Bears2Americans6BWSommaire du match
159 - 2026-03-141047Marlies3Americans2BLSommaire du match
162 - 2026-03-171075Americans8Silver Knights4AWSommaire du match
164 - 2026-03-191092Americans6Barracuda5AWXSommaire du match
166 - 2026-03-211102Americans2Reign4ALSommaire du match
167 - 2026-03-221117Americans2Gulls3ALSommaire du match
170 - 2026-03-251135Bruins0Americans3BWSommaire du match
172 - 2026-03-271150Griffins3Americans8BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281159Firebirds3Americans4BWXXSommaire du match
176 - 2026-03-311179Sound Tigers5Americans2BLSommaire du match
178 - 2026-04-021191Americans2Senators5ALSommaire du match
180 - 2026-04-041213Americans4Bears1AWSommaire du match
182 - 2026-04-061229Crunch1Americans0BLSommaire du match
184 - 2026-04-081244Americans3Wolf Pack2AWXXSommaire du match
185 - 2026-04-091248Monsters3Americans5BWSommaire du match
189 - 2026-04-131288Americans3IceHogs4ALXSommaire du match
191 - 2026-04-151301Stars2Americans5BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,24440,927
Assistance PCT99.08%99.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2980 - 99.33% 80,640$3,306,258$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,991,801$ 2,433,870$ 2,433,870$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,432,614$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,499,854$ 0 15,541$ 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
1Alex Turcotte153509714713362144445479.14%33288718.8713385110700008553.07%21.0202
2Samuel Fagemo1646477141135025823660610.56%32288417.59222042139000011448.07%00.9826
3Landon Slaggert1395267119122219825450110.38%41277219.951024349300014244.06%00.8611
4Nick Abruzzese1633161921718902843259.54%21226113.8828102710143149.03%00.8102
5Arshdeep Bains163404686204020319336510.96%33219913.49011300014248.86%00.7802

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
1Sebastian Cossa1015530110.9043.06583710629830920500.81021
2Calvin Pickard66382330.9013.1537710219820000231.0006
3Will Cranley61210.8993.9324400161580000.0000
4Zach Sawchenko20000.8464.0759004260000.0000

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
20248236300852129226923412212052001481133541141803321144156-12982925308223397909510279389692293455259475444618332796623.66%1834277.05%11438299747.98%1370285747.95%644136247.28%2038143018565901063542
202582422503831327252754122130132016811157412012025111591411810532758290905127100948332910971086110850268580646618842705620.74%1873382.35%11785326654.65%1529280154.59%755140453.77%2135152417805671053545
Total Saison régulière16478550111352619521988244250652031622492823430058323032976203619111217313822419018918612219932008204210552791560912371754912222.22%3707579.73%23223626351.46%2899565851.24%1399276650.58%417429553636115821171087
Séries éliminatoires
202425141100000797181156000003731614950000042402287914522410273020280727227424417827216160570842023.81%71987.32%140587246.44%42093245.06%16839942.11%601411587187331165
Total Séries éliminatoires25141100000797181156000003731614950000042402287914522410273020280727227424417827216160570842023.81%71987.32%140587246.44%42093245.06%16839942.11%601411587187331165

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
1Alexandre Texier2513142731850838615.12%1250020.03325800001440.94%01.0800
2Emil Bemstrom2581422463246869.30%559123.663471801123050.71%00.7400
3Oliver Kylington2551621-21228364311.63%2953021.22235160000000.00%00.7900
4Samuel Fagemo251011217429208312.05%351620.672681300021147.17%00.8100
5Alex Turcotte2511920-1619325918.64%740516.244481500002045.54%00.9900

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
1Calvin Pickard25141010.9132.83148300708050010.0000
2Zach Sawchenko10001.0000.0033000210000.0000