Americans
GP: 23 | W: 15 | L: 8
GF: 95 | GA: 76 | PP%: 26.23% | PK%: 85.90%
DG: Jean-Nicolas Bleau | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Stars
16-8-0, 32pts
5
FINAL
1 Americans
15-8-0, 30pts
Team Stats
W3StreakOTL1
11-3-0Home Record7-4-0
5-5-0Away Record8-4-0
7-3-0Last 10 Games6-3-1
3.42Buts par match 4.13
2.71Buts contre par match 3.30
18.42%Pourcentage en avantage numérique26.23%
83.05%Pourcentage en désavantage numérique85.90%
Americans
15-8-0, 30pts
1
FINAL
2 Stars
16-8-0, 32pts
Team Stats
OTL1StreakW3
7-4-0Home Record11-3-0
8-4-0Away Record5-5-0
6-3-1Last 10 Games7-3-0
4.13Buts par match 3.42
3.30Buts contre par match 2.71
26.23%Pourcentage en avantage numérique18.42%
85.90%Pourcentage en désavantage numérique83.05%
Meneurs d'équipe
Zach SawchenkoVictoires
Zach Sawchenko
10
Mikhail BerdinPourcentage d’arrêts
Mikhail Berdin
0.937

Statistiques d’équipe
Buts pour
95
4.13 GFG
Tirs pour
843
36.65 Avg
Pourcentage en avantage numérique
26.2%
16 GF
Début de zone offensive
40.6%
Buts contre
76
3.30 GAA
Tirs contre
812
35.30 Avg
Pourcentage en désavantage numérique
85.9%
11 GA
Début de la zone défensive
41.1%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 80
Espoirs81


Historique d'équipe

Saison actuelle15-8
Historique95-58-12 (0.576%)
Apparitions séries éliminatoires 0
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
SP
Âge
Contrat
Salaire
1Max Comtois (R)0XX100.007848717282858771637069647263680756802321,156,000$
2Alexander Barabanov (A)0X100.00593493696887837456756660726769075670282925,000$
3Jujhar Khaira (C)0XX100.00907970628981796377616279616971075660281800,000$
4Frederik Gauthier (A)0XX100.00837884639776786085646171586769075650271950,000$
5Alexei Toropchenko (R)0X100.00804274649782896258606365576365075650233925,000$
6Emil Bemstrom (R)0XX100.00643792707378796771626859676364075650232925,000$
7Mikhail Maltsev (R)0XX100.00723992668384896574636462686566075650241925,000$
8Oskar Steen (R)0XXX100.00743788666982856472656162636566075640241925,000$
9Jack McBain (R)0X100.00833772638482676477616572646162075640223950,000$
10Connor Dewar (R)0X100.00633877656781786472636261656364075630232925,000$
11Samuel Fagemo (R)0X100.00633785627485866358606265676264075630222925,000$
12Gabriel Fortier (R)0X100.00733585566676855764585960636264075610222925,000$
13Dylan Coghlan (R)0X100.00653693668286856530706259546365075650242925,000$
14Ian Mitchell (R)0X100.00633592686981896630676264526365075650232925,000$
15Libor Hajek (R)0X100.00713184668580746330645967536466075640241775,000$
16Tarmo Reunanen (R)0X100.00643686657178736430665763516466075630242925,000$
17Joey Keane (R)0X100.00613470657285826430625860516365075620231925,000$
18Filip Kral (R)0X100.00653878577466865430605357466365075590233950,000$
Rayé
1Otto Somppi (R)0X100.00683987637975806370625861636466075630242925,000$
2Taro Hirose (R)0X100.00613594666386836771665856646768075630262800,000$
3Adam Raska (R)0X100.00764062616674786057595862576163075610213950,000$
4Will Bitten (R)0XX100.00573788606690925962605855596466075610243805,000$
5Jordy Bellerive (R)0X100.00624364597179875666595758626365075600231925,000$
6Riley Sutter (R)0X100.00794186558866725463565260536365075600231925,000$
7Shane Bowers (R)0X100.00693890597884705853545956576365075600231925,000$
8Logan Hutsko (R)0X100.00583782636781756053625654616365075600233950,000$
9Ben Thomson0X100.00754367548469675451535756586971075590292925,000$
10Thomas Harley (R)0X100.00723880648379866230635861506264075630212925,000$
11Axel Andersson (R)0X100.00613789607167655830565554466264075590222925,000$
MOYENNE D’ÉQUIPE100.0069418263767980625662606159646607563
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
SP
Âge
Contrat
Salaire
1Mikhail Berdin (R)100.0073767773727173727173726471075640242850,000$
2Zach Sawchenko (R)100.0073747274727173727173726573075640251700,000$
Rayé
1Alex Stalock100.00747072697271737271737276890756503511,600,000$
MOYENNE D’ÉQUIPE100.007373747272717372717372687807564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Neil Graham64636972555290CAN362550,000$


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’équipe
POS
GP
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
1Max ComtoisAmericans (BUF)LW/RW2213132641404944111258211.71%444920.451122053000003150.00%3400001.1600000121
2Alexander BarabanovAmericans (BUF)LW23101525100044481417412.35%141317.9615617470000103034.38%3200001.2100000150
3Dylan CoghlanAmericans (BUF)D236162210180383546143613.04%4156924.762462459000054110.00%000000.7700000113
4Emil BemstromAmericans (BUF)LW/RW23713203006299824557.14%247620.702241454000002057.14%2800000.8400000002
5Ian MitchellAmericans (BUF)D2341418680362636122311.11%3946020.032461442022166100.00%000000.7800000122
6Mikhail MaltsevAmericans (BUF)C/LW2311718-400302364183917.19%531513.722241046000000265.25%14100011.1400000300
7Connor DewarAmericans (BUF)C185121734095837145013.51%535519.74044838000071051.16%47300000.9600000101
8Jujhar KhairaAmericans (BUF)C/LW23710176100655856123912.50%637616.36000001013761150.97%46300000.9000000031
9Alexei ToropchenkoAmericans (BUF)RW18791692810432745134115.56%329516.43022415101150147.06%1700001.0800001201
10Joey KeaneAmericans (BUF)D233121510200601429172110.34%2753923.451231358000024000.00%000000.5600000000
11Tarmo ReunanenAmericans (BUF)D2311415718056111410207.14%2942818.6300000022066100.00%000000.7000000111
12Libor HajekAmericans (BUF)D234913-218056181910621.05%4043218.8110122000058000.00%000010.6000000200
13Samuel FagemoAmericans (BUF)RW234711-25515164219389.52%529612.89000000003400046.15%2600000.7400100100
14Jack McBainAmericans (BUF)C14448380333733152812.12%423216.60000030001240052.72%29400000.6900000101
15Oskar SteenAmericans (BUF)C/LW/RW1761714012113331318.18%318410.85415933000021033.33%1800000.7600000000
16Filip KralAmericans (BUF)D120440801837240.00%1220717.2700041800000000.00%000000.3900000000
17Frederik GauthierAmericans (BUF)C/RW2312356023143411232.94%524410.65000000001820068.75%4800000.2400000000
18Gabriel FortierAmericans (BUF)C23213-2802927287167.14%126811.66000140002151044.24%32100000.2200000001
19Thomas HarleyAmericans (BUF)D11033-314021212880.00%819517.7401162300001000.00%000000.3100000000
20Otto SomppiAmericans (BUF)C22022100214134130.00%11336.0800000000000046.20%15800000.3000000000
21Taro HiroseAmericans (BUF)LW2011100014040.00%0126.040001000000000.00%000001.6600000000
Statistiques d’équipe totales ou en moyenne41295169264661911560551284227963311.28%241688716.721628441475032461254015650.80%205300020.7700101151414
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Zach SawchenkoAmericans (BUF)1610500.9053.1493500495180000.0000161010
2Alex StalockAmericans (BUF)74200.9004.1733100232310000.0000514000
3Mikhail BerdinAmericans (BUF)41010.9371.59151004630000.000027000
Statistiques d’équipe totales ou en moyenne2715710.9063.22141700768120000.00002322010


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Adam RaskaAmericans (BUF)RW219/25/2001Yes178 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Alex Stalock (contrat à 1 volet)Americans (BUF)G357/28/1987No170 Lbs5 ft11NoNoNo1Pro & Farm1,600,000$1,600,000$1,600,000$0$NoLien / Lien NHL
Alexander BarabanovAmericans (BUF)LW286/17/1994No195 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Alexei ToropchenkoAmericans (BUF)RW236/25/1999Yes222 Lbs6 ft6NoNoNo3Pro & Farm925,000$925,000$0$0$No1,257,000$1,257,000$Lien / Lien NHL
Axel AnderssonAmericans (BUF)D222/10/2000Yes178 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Ben ThomsonAmericans (BUF)LW291/16/1993No205 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Connor DewarAmericans (BUF)C236/26/1999Yes183 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No872,200$Lien / Lien NHL
Dylan CoghlanAmericans (BUF)D242/19/1998Yes208 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Emil BemstromAmericans (BUF)LW/RW236/1/1999Yes193 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No966,300$Lien / Lien NHL
Filip KralAmericans (BUF)D2310/20/1999Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Frederik GauthierAmericans (BUF)C/RW274/26/1995No239 Lbs6 ft5NoNoYes1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Gabriel FortierAmericans (BUF)C222/6/2000Yes173 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Ian MitchellAmericans (BUF)D231/18/1999Yes173 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jack McBainAmericans (BUF)C221/6/2000Yes201 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Joey KeaneAmericans (BUF)D237/2/1999Yes187 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jordy BelleriveAmericans (BUF)C235/2/1999Yes195 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jujhar KhairaAmericans (BUF)C/LW288/13/1994No212 Lbs6 ft4NoNoYes1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Libor HajekAmericans (BUF)D242/4/1998Yes206 Lbs6 ft3NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Logan HutskoAmericans (BUF)RW231/11/1999Yes172 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Max Comtois (contrat à 1 volet)Americans (BUF)LW/RW231/8/1999Yes210 Lbs6 ft2NoNoNo2Pro & Farm1,156,000$1,156,000$1,156,000$0$No1,403,000$Lien / Lien NHL
Mikhail BerdinAmericans (BUF)G243/1/1998Yes163 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Mikhail MaltsevAmericans (BUF)C/LW243/12/1998Yes198 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Oskar SteenAmericans (BUF)C/LW/RW243/9/1998Yes199 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Otto SomppiAmericans (BUF)C241/12/1998Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Riley SutterAmericans (BUF)C2310/25/1999Yes210 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Samuel FagemoAmericans (BUF)RW223/14/2000Yes200 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Shane BowersAmericans (BUF)C237/30/1999Yes186 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Tarmo ReunanenAmericans (BUF)D243/1/1998Yes185 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Taro HiroseAmericans (BUF)LW266/30/1996Yes162 Lbs5 ft10NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Thomas HarleyAmericans (BUF)D218/19/2001Yes205 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Will BittenAmericans (BUF)C/RW247/10/1998Yes167 Lbs5 ft11NoNoNo3Pro & Farm805,000$805,000$0$0$No805,000$805,000$Lien / Lien NHL
Zach SawchenkoAmericans (BUF)G2512/30/1997Yes185 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.16192 Lbs6 ft11.84931,594$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max ComtoisJujhar KhairaEmil Bemstrom40122
2Alexander BarabanovJack McBainAlexei Toropchenko30122
3Mikhail MaltsevConnor DewarSamuel Fagemo20122
4Oskar SteenGabriel FortierFrederik Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanJoey Keane40122
2Filip KralLibor Hajek30122
3Ian MitchellTarmo Reunanen20122
4Ian MitchellTarmo Reunanen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil BemstromJack McBainMax Comtois60122
2Alexander BarabanovMikhail MaltsevOskar Steen40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanJoey Keane60122
2Filip KralIan Mitchell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaFrederik Gauthier60122
2Gabriel FortierSamuel Fagemo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellTarmo Reunanen60122
2Dylan CoghlanLibor Hajek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gabriel Fortier60122Filip KralIan Mitchell60122
2Jujhar Khaira40122Tarmo ReunanenLibor Hajek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Frederik GauthierJujhar Khaira60122
2Jack McBainEmil Bemstrom40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tarmo ReunanenLibor Hajek60122
2Dylan CoghlanJoey Keane40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovMikhail MaltsevEmil BemstromTarmo ReunanenJoey Keane
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaConnor DewarFrederik GauthierFilip KralLibor Hajek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Frederik Gauthier, Alexander Barabanov, Samuel FagemoAlexei Toropchenko, Oskar SteenJujhar Khaira
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Libor Hajek, Tarmo Reunanen, Ian MitchellFilip KralTarmo Reunanen, Joey Keane
Tirs de pénalité
Alexander Barabanov, Max Comtois, Samuel Fagemo, Emil Bemstrom, Connor Dewar
Gardien
#1 : Mikhail Berdin, #2 : Zach Sawchenko
Lignes d’attaque personnalisées en prolongation
Max Comtois, Alexander Barabanov, Connor Dewar, Emil Bemstrom, Oskar Steen, Frederik Gauthier, Frederik Gauthier, Mikhail Maltsev, Jujhar Khaira, Samuel Fagemo,
Lignes de défense personnalisées en prolongation
Tarmo Reunanen, Ian Mitchell, Joey Keane, Libor Hajek, Filip Kral


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
Total
Domicile
Visiteur
#
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
1Bears5410000029218220000001385321000001613380.80029568500353027319825628827524200514010814535.71%20480.00%243484551.36%41885548.89%19938152.23%563394557165297150
2Checkers440000002213922000000125722000000108281.00022386000353027317225628827524154573212013538.46%15193.33%043484551.36%41885548.89%19938152.23%563394557165297150
3Crunch7430000024213422000001412232100000109180.57124386200353027326025628827524233696521619315.79%22481.82%043484551.36%41885548.89%19938152.23%563394557165297150
4Stars734000002021-131200000810-2422000001211160.42920375700353027321325628827524225645416115320.00%21290.48%043484551.36%41885548.89%19938152.23%563394557165297150
Total231580000095761911740000047351212840000048417300.6529516926400353027384325628827524812241191605611626.23%781185.90%243484551.36%41885548.89%19938152.23%563394557165297150
_Since Last GM Reset231580000095761911740000047351212840000048417300.6529516926400353027384325628827524812241191605611626.23%781185.90%243484551.36%41885548.89%19938152.23%563394557165297150
_Vs Conference1612400000755520862000003925148620000036306240.7507513220700353027363025628827524587177137444461328.26%57984.21%243484551.36%41885548.89%19938152.23%563394557165297150
_Vs Division1143000004634126220000026179521000002017380.3644676122003530273432256288275243871269733632825.00%37586.49%043484551.36%41885548.89%19938152.23%563394557165297150

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2330OTL19516926484381224119160500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2315800009576
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117400004735
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
128400004841
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
611626.23%781185.90%2
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
256288275243530273
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
43484551.36%41885548.89%19938152.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
563394557165297150


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
1 - 2023-04-133Americans3Bears4ALSommaire du match
3 - 2023-04-1511Americans6Bears5AWXSommaire du match
5 - 2023-04-1719Bears3Americans7BWSommaire du match
7 - 2023-04-1927Bears5Americans6BWSommaire du match
9 - 2023-04-2135Americans7Bears4AWSommaire du match
15 - 2023-04-2758Crunch3Americans1BLSommaire du match
17 - 2023-04-2962Crunch2Americans6BWSommaire du match
19 - 2023-05-0166Americans3Crunch2AWXSommaire du match
21 - 2023-05-0370Americans4Crunch3AWSommaire du match
23 - 2023-05-0574Crunch5Americans2BLSommaire du match
25 - 2023-05-0778Americans3Crunch4ALSommaire du match
27 - 2023-05-0982Crunch2Americans5BWSommaire du match
29 - 2023-05-1185Checkers4Americans5BWSommaire du match
31 - 2023-05-1387Checkers1Americans7BWSommaire du match
33 - 2023-05-1589Americans6Checkers5AWXSommaire du match
35 - 2023-05-1791Americans4Checkers3AWSommaire du match
43 - 2023-05-2599Americans5Stars4AWSommaire du match
44 - 2023-05-26100Americans4Stars1AWSommaire du match
45 - 2023-05-27101Stars3Americans1BLSommaire du match
46 - 2023-05-28102Stars2Americans6BWSommaire du match
47 - 2023-05-29103Americans2Stars4ALSommaire du match
48 - 2023-05-30104Stars5Americans1BLSommaire du match
49 - 2023-05-31105Americans1Stars2ALXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance22,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 3000 - 100.00% 81,250$893,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,705,500$ 2,705,500$ 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 (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 Comtois15899112211367341530174613.27%32311119.69222951128000010454.55%41.3601
2Alexander Barabanov13856791352362325955410.11%30241717.521013237300008247.43%01.1201
3Ian Mitchell1602410512937622101842928.22%253371823.241024341410223320.00%00.6900
4Jujhar Khaira14252731252714453945347610.92%72290020.433111434022118256.66%00.8611
5Emil Bemstrom161576712424206219854110.54%25266616.56516215501126254.51%10.9301

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
1Laurent Brossoit68402440.9023.2839018421321710210.8336
2Zach Sawchenko50271220.8943.4725266114613720001.0005
3Alex Stalock3317910.8923.41158521908340000.0000
4Michael McNiven207430.8973.45104421605850020.3333
5Mikhail Berdin134510.8973.1157800302900000.0000

Americans Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
Total Saison régulière164835801092267856910982382906522347308398245290440033126170201678123419124723622120912639320612137214661542915881084377452713124.86%4629579.44%53638637357.08%3077569953.99%1609285456.38%426230663580112020511069
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