Connexion

Americans
GP: 20 | W: 11 | L: 6 | OTL: 3 | P: 25
GF: 71 | GA: 70 | PP%: 15.28% | PK%: 81.08%
DG: Yannick Caron | Morale : 50 | Moyenne d’équipe : 68
Prochain matchs #312 vs Rockets
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Centre de jeu
Americans
11-6-3, 25pts
3
FINAL
2 islanders
9-8-2, 20pts
Team Stats
W8StreakSOL1
5-2-2Home Record4-3-2
6-4-1Away Record5-5-0
8-2-0Last 10 Games4-5-1
3.55Buts par match 3.74
3.50Buts contre par match 3.74
15.28%Pourcentage en avantage numérique26.67%
81.08%Pourcentage en désavantage numérique80.88%
Americans
11-6-3, 25pts
4
FINAL
1 Griffins
11-7-1, 23pts
Team Stats
W8StreakL2
5-2-2Home Record7-3-0
6-4-1Away Record4-4-1
8-2-0Last 10 Games5-4-1
3.55Buts par match 3.68
3.50Buts contre par match 3.26
15.28%Pourcentage en avantage numérique21.21%
81.08%Pourcentage en désavantage numérique78.13%
Rockets
15-4-1, 31pts
2022-11-29
Americans
11-6-3, 25pts
Statistiques d’équipe
W2SéquenceW8
8-1-0Fiche domicile5-2-2
7-3-1Fiche visiteur6-4-1
7-2-110 derniers matchs8-2-0
4.20Buts par match 3.55
3.15Buts contre par match 3.50
27.50%Pourcentage en avantage numérique15.28%
82.19%Pourcentage en désavantage numérique81.08%
Americans
11-6-3, 25pts
2022-12-02
Thunderbirds
10-5-3, 23pts
Statistiques d’équipe
W8SéquenceW1
5-2-2Fiche domicile4-4-1
6-4-1Fiche visiteur6-1-2
8-2-010 derniers matchs5-2-3
3.55Buts par match 3.83
3.50Buts contre par match 3.56
15.28%Pourcentage en avantage numérique27.12%
81.08%Pourcentage en désavantage numérique79.63%
Wolf Pack
11-6-2, 24pts
2022-12-04
Americans
11-6-3, 25pts
Statistiques d’équipe
W2SéquenceW8
6-3-0Fiche domicile5-2-2
5-3-2Fiche visiteur6-4-1
5-3-210 derniers matchs8-2-0
4.42Buts par match 3.55
3.53Buts contre par match 3.50
24.24%Pourcentage en avantage numérique15.28%
77.61%Pourcentage en désavantage numérique81.08%
Meneurs d'équipe
Victoires
Michael Houser
10
Pourcentage d’arrêts
Michael Houser
0.912

Statistiques d’équipe
Buts pour
71
3.55 GFG
Tirs pour
736
36.80 Avg
Pourcentage en avantage numérique
15.3%
11 GF
Début de zone offensive
41.2%
Buts contre
70
3.50 GAA
Tirs contre
788
39.40 Avg
Pourcentage en désavantage numérique
81.1%
14 GA
Début de la zone défensive
41.9%
Information d’équipe

Directeur généralYannick Caron
EntraîneurChantal Machabée
DivisionATLANTIQUE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,950
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 55
Espoirs25


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
1Marcus Sorensen0XX99.006639866967778468566764706877690507103031,000,000$
2Benoit-Olivier Groulx0X98.00693981658079836480636168626469050700222910,833$
3Hayden Hodgson0X98.00743461648281776558666759646668050700262800,000$
4Sam Steel0X99.005934936870828667836664596864650506902441,093,750$
5Byron Froese0X99.00703987607887776378616268647176050690312817,000$
6Sean Malone0X100.00633470667478716575646359656769050680272912,000$
7Kasper Bjorkqvist0X99.00683881657773826255616257636567050670253900,000$
8Matthew Peca0X100.00663594646779846371675960626971050670291700,000$
9Mitchell Stephens0X100.006234886371777260836456685764650506702521,061,000$
10Mackenzie MacEachern0X95.00734184577977865863596057616870050660282750,000$
11Semyon Der-Arguchintsev0X95.00563689646877796470625957646265050650222766,677$
12Cody Franson0X100.00837086559478875630645763457577050690351750,000$
13Will Butcher0X97.005534846871887766307559615368670506902721,952,000$
14Dillon Heatherington0X100.00814182598977785630585764496769050680272775,000$
15Vincent Desharnais0X100.00867773569572935430595362466668050680262800,000$
16Casey Fitzgerald0X100.007235686170848561306457625165670506702533,125,000$
17Tommy Cross0X100.00744372588478865730605661487378050670331750,000$
18Luke Witkowski0X100.006334875882717857305655594872740506503221,029,000$
Rayé
1Matej Pekar0X100.00655362517473765256535455516264050610222913,333$
2Devante Stephens0X100.006942715880648556305655594765670506402521,278,000$
3Ashton Sautner0X100.00673975597667695830575456456870050630281700,000$
4Jeremy Groleau0X100.00733975538264725130535256456365050620232898,000$
MOYENNE D’ÉQUIPE99.0569418061787780605162586156676905067
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
1Louis Domingue100.00737577857271737271737272840507603011,650,000$
2Michael Houser100.0075717276747375747375747084050760302800,000$
Rayé
1Callum Booth100.0069646583686769686769686573050710252928,000$
2Jeremy Brodeur100.0066646571656466656466656775050680261875,000$
MOYENNE D’ÉQUIPE100.007169707970697170697170697905073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chantal Machabée75757575757575CAN5850$


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
1Hayden HodgsonAmericans (BUF)RW19814226180722570224711.43%237919.9722416490000442036.36%4400001.1611000410
2Benoit-Olivier GroulxAmericans (BUF)C20714211040225856115512.50%739219.6023512420000361054.89%55200001.0701000030
3Will ButcherAmericans (BUF)D2031518-520114326212511.54%2546423.251341253000158010.00%000000.7700000002
4Matthew PecaAmericans (BUF)C204121622011174112359.76%625912.9800000000010046.15%2600001.2300000010
5Marcus SorensenAmericans (BUF)LW/RW168816180204780196410.00%532720.461126240004202025.93%5400010.9800000121
6Sam SteelAmericans (BUF)C2041014-9407567019625.71%340420.2212311540004601049.90%50500000.6901000010
7Byron FroeseAmericans (BUF)C2086142120323476134410.53%434117.0803311360002480055.07%13800000.8201000101
8Dillon HeatheringtonAmericans (BUF)D20391246019233612298.33%2843821.912021755000160000.00%000000.5500000001
9Cody FransonAmericans (BUF)D203710-3200471422131413.64%3942221.11112726000053000.00%000000.4700000001
10Kasper BjorkqvistAmericans (BUF)RW20549-74038345316429.43%333016.531011454000161029.17%4800000.5411000010
11Sean MaloneAmericans (BUF)C20369210027354512346.67%425913.0000000000001051.82%35700000.6911000001
12Mitchell StephensAmericans (BUF)C1953850082849163710.20%528515.040005330000160154.72%5300000.5601000001
13Casey FitzgeraldAmericans (BUF)D2024641004319143614.29%1026613.340001100003000.00%000000.4500000010
14Vincent DesharnaisAmericans (BUF)D2014533954716224184.55%3442121.080331255000045000.00%000000.2400100001
15Semyon Der-ArguchintsevAmericans (BUF)C2032520061422111913.64%41829.11000114000041051.53%16300000.5501000002
16Luke WitkowskiAmericans (BUF)D20134240211319255.26%3240420.21000235000023000.00%000000.2000000000
17Mackenzie MacEachernAmericans (BUF)LW20134240125233204.35%11778.88000112000010023.08%1300000.4500000000
18Devante StephensAmericans (BUF)D2000000000000.00%000.310000000000000.00%000000.0000000000
19Matej PekarAmericans (BUF)LW9000-6601848280.00%213515.05000220000050037.50%800000.0000000000
20Tommy CrossAmericans (BUF)D15000020324220.00%2251.670000000000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne360691241931515554644877362135669.38%216591916.44111829130571000134919250.51%196200010.653810061011
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
1Michael HouserAmericans (BUF)1610320.9123.4193421536050100.8899164311
2Louis DomingueAmericans (BUF)51310.9073.6228200171830000.0000416000
Statistiques d’équipe totales ou en moyenne2111630.9113.45121621707880100.88992020311


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 moyenPlafond 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
Ashton SautnerAmericans (BUF)D281994-05-27No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$538,172$700,000$0$0$NoLien
Benoit-Olivier GroulxAmericans (BUF)C222000-02-06No200 Lbs6 ft2NoNoNo2Pro & Farm910,833$700,264$910,833$0$0$No910,833$Lien
Byron FroeseAmericans (BUF)C311991-03-12No202 Lbs6 ft1NoNoNo2Pro & Farm817,000$628,123$0$0$No817,000$Lien
Callum BoothAmericans (BUF)G251997-05-21No184 Lbs6 ft4NoNoNo2Pro & Farm928,000$713,462$750,000$0$0$No928,000$Lien
Casey FitzgeraldAmericans (BUF)D251997-02-25No188 Lbs5 ft11NoNoNo3Pro & Farm3,125,000$2,402,553$650,000$0$0$No3,125,000$3,125,000$Lien
Cody FransonAmericans (BUF)D351987-08-08No224 Lbs6 ft5NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Devante StephensAmericans (BUF)D251997-01-02No185 Lbs6 ft3NoNoNo2Pro & Farm1,278,000$982,548$958,500$0$0$No1,278,000$Lien
Dillon HeatheringtonAmericans (BUF)D271995-05-09No215 Lbs6 ft4NoNoNo2Pro & Farm775,000$595,833$775,000$0$0$No775,000$Lien
Hayden HodgsonAmericans (BUF)RW261996-03-02No208 Lbs6 ft2NoNoNo2Pro & Farm800,000$615,053$750,000$0$0$No800,000$Lien
Jeremy BrodeurAmericans (BUF)G261996-10-29No185 Lbs6 ft0NoNoNo1Pro & Farm875,000$672,715$875,000$0$0$NoLien
Jeremy GroleauAmericans (BUF)D231999-10-25No193 Lbs6 ft3NoNoNo2Pro & Farm898,000$690,397$743,335$0$0$No898,000$Lien
Kasper BjorkqvistAmericans (BUF)RW251997-07-10No198 Lbs6 ft1NoNoNo3Pro & Farm900,000$691,935$900,000$0$0$No900,000$900,000$Lien
Louis DomingueAmericans (BUF)G301992-03-06No208 Lbs6 ft3NoNoNo1Pro & Farm1,650,000$1,268,548$650,000$0$0$NoLien
Luke WitkowskiAmericans (BUF)D321990-04-14No210 Lbs6 ft2NoNoNo2Pro & Farm1,029,000$791,112$650,000$0$0$No1,029,000$Lien
Mackenzie MacEachernAmericans (BUF)LW281994-03-09No193 Lbs6 ft2NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Marcus SorensenAmericans (BUF)LW/RW301992-04-07No175 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$768,817$1,000,000$0$0$No1,000,000$1,000,000$Lien
Matej PekarAmericans (BUF)LW222000-02-10No185 Lbs6 ft1NoNoNo2Pro & Farm913,333$702,186$913,333$0$0$No913,333$Lien
Matthew PecaAmericans (BUF)C291993-04-27No181 Lbs5 ft10NoNoNo1Pro & Farm700,000$538,172$700,000$0$0$NoLien
Michael HouserAmericans (BUF)G301992-09-13No185 Lbs6 ft1NoNoNo2Pro & Farm800,000$615,053$800,000$0$0$No800,000$Lien
Mitchell StephensAmericans (BUF)C251997-02-05No190 Lbs5 ft11NoNoNo2Pro & Farm1,061,000$815,715$650,000$0$0$No1,061,000$Lien
Sam SteelAmericans (BUF)C241998-02-03No184 Lbs5 ft11NoNoNo4Pro & Farm1,093,750$840,893$650,000$0$0$No1,093,750$1,093,750$1,093,750$Lien
Sean MaloneAmericans (BUF)C271995-04-30No197 Lbs6 ft0NoNoNo2Pro & Farm912,000$701,161$650,000$0$0$No750,000$Lien
Semyon Der-ArguchintsevAmericans (BUF)C222000-09-15No160 Lbs5 ft11NoNoNo2Pro & Farm766,677$589,434$700,000$0$0$No766,677$Lien
Tommy CrossAmericans (BUF)D331989-09-12No205 Lbs6 ft3NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Vincent DesharnaisAmericans (BUF)D261996-05-29No215 Lbs6 ft6NoNoNo2Pro & Farm800,000$615,053$800,000$0$0$No800,000$Lien
Will ButcherAmericans (BUF)D271995-01-06No190 Lbs5 ft10NoNoNo2Pro & Farm1,952,000$1,500,731$525,000$0$0$No1,952,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.04194 Lbs6 ft11.961,035,946$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernBenoit-Olivier GroulxMarcus Sorensen32122
2Semyon Der-ArguchintsevSam SteelKasper Bjorkqvist31122
3Byron FroeseSean MaloneMatthew Peca23122
4Mitchell StephensSemyon Der-ArguchintsevMackenzie MacEachern14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cody FransonWill Butcher30122
2Vincent DesharnaisDillon Heatherington30122
3Casey FitzgeraldLuke Witkowski24122
4Luke WitkowskiCody Franson16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Semyon Der-ArguchintsevByron FroeseBenoit-Olivier Groulx50014
2Mackenzie MacEachernSam SteelKasper Bjorkqvist50014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke WitkowskiCody Franson50014
2Vincent DesharnaisDillon Heatherington50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Byron FroeseSemyon Der-Arguchintsev50122
2Kasper BjorkqvistSam Steel50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cody FransonLuke Witkowski50122
2Vincent DesharnaisDillon Heatherington50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kasper Bjorkqvist50122Luke WitkowskiCody Franson50122
2Byron Froese50122Vincent DesharnaisDillon Heatherington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Benoit-Olivier GroulxSemyon Der-Arguchintsev50122
2Byron FroeseSam Steel50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldLuke Witkowski50122
2Vincent DesharnaisDillon Heatherington50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernBenoit-Olivier GroulxMarcus SorensenCody FransonWill Butcher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Byron FroeseBenoit-Olivier GroulxMarcus SorensenCody FransonWill Butcher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Benoit-Olivier Groulx, Semyon Der-Arguchintsev, Byron FroeseByron Froese, Semyon Der-ArguchintsevByron Froese
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Fitzgerald, Luke Witkowski, Vincent DesharnaisCasey FitzgeraldLuke Witkowski, Dillon Heatherington
Tirs de pénalité
Semyon Der-Arguchintsev, Kasper Bjorkqvist, Benoit-Olivier Groulx, Sam Steel, Byron Froese
Gardien
#1 : Louis Domingue, #2 : Michael Houser
Lignes d’attaque personnalisées en prolongation
Benoit-Olivier Groulx, Marcus Sorensen, Mackenzie MacEachern, Sam Steel, Byron Froese, Sean Malone, Sean Malone, Matthew Peca, Mitchell Stephens, Kasper Bjorkqvist, Semyon Der-Arguchintsev
Lignes de défense personnalisées en prolongation
Cody Franson, Luke Witkowski, Vincent Desharnais, Dillon Heatherington, Casey Fitzgerald


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
1Binghamton Senateurs21000100981110000005321000010045-130.7509182700262120588245235241231032322496233.33%110100.00%041579752.07%42381052.22%15332846.65%470318483153264129
2Checkers2010010049-51000010034-11010000015-410.25046100026212055624523524123792725417114.29%100100.00%041579752.07%42381052.22%15332846.65%470318483153264129
3Crunch21100000761110000004221010000034-120.500712190026212056424523524123732320595240.00%10190.00%041579752.07%42381052.22%15332846.65%470318483153264129
4Griffins3110010010911000010045-12110000064230.50010192900262120599245235241239529124714214.29%6183.33%041579752.07%42381052.22%15332846.65%470318483153264129
5IceHogs11000000431000000000001100000043121.00047110026212054824523524123466620300.00%220.00%041579752.07%42381052.22%15332846.65%470318483153264129
6Marlies2010100079-21010000025-31000100054120.500711180026212058424523524123802710478112.50%4250.00%041579752.07%42381052.22%15332846.65%470318483153264129
7Providence Bruins3200100013761000100032122000000105561.00013233600262120513224523524123982620787114.29%10280.00%041579752.07%42381052.22%15332846.65%470318483153264129
8Reign11000000202110000002020000000000021.00024601262120528245235241231954256116.67%20100.00%041579752.07%42381052.22%15332846.65%470318483153264129
9Rockets302000101217-5201000101013-31010000024-220.333122032002621205105245235241231393626751317.69%13469.23%041579752.07%42381052.22%15332846.65%470318483153264129
10islanders10000010321000000000001000001032121.000347002621205322452352412356141223300.00%6266.67%041579752.07%42381052.22%15332846.65%470318483153264129
Total20760232071701932012103334-111440111038362250.6257112419501262120573624523524123788216157464721115.28%741481.08%041579752.07%42381052.22%15332846.65%470318483153264129
_Since Last GM Reset20760232071701932012103334-111440111038362250.6257112419501262120573624523524123788216157464721115.28%741481.08%041579752.07%42381052.22%15332846.65%470318483153264129
_Vs Conference1856023206567-2822012103134-310340111034331210.5836511317800262120566024523524123723205147419631015.87%701282.86%041579752.07%42381052.22%15332846.65%470318483153264129
_Vs Division1756023106265-3822012103134-39340110031310190.5596210917100262120562824523524123667191135396601016.67%641084.38%041579752.07%42381052.22%15332846.65%470318483153264129

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2025W87112419573678821615746401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
207623207170
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93212103334
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
114411103836
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721115.28%741481.08%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
245235241232621205
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
41579752.07%42381052.22%15332846.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
470318483153264129


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
1 - 2022-10-165Americans2Rockets4ALSommaire du match
3 - 2022-10-1823Binghamton Senateurs3Americans5BWSommaire du match
5 - 2022-10-2037Americans4IceHogs3AWSommaire du match
7 - 2022-10-2253Griffins5Americans4BLXSommaire du match
9 - 2022-10-2463Americans2Griffins3ALSommaire du match
11 - 2022-10-2676Americans1Checkers5ALSommaire du match
12 - 2022-10-2789Checkers4Americans3BLXSommaire du match
15 - 2022-10-30100Americans5Marlies4AWXSommaire du match
18 - 2022-11-02121Marlies5Americans2BLSommaire du match
21 - 2022-11-05136Americans4Binghamton Senateurs5ALXSommaire du match
23 - 2022-11-07152Rockets8Americans4BLSommaire du match
24 - 2022-11-08166Americans3Crunch4ALSommaire du match
28 - 2022-11-12190Providence Bruins2Americans3BWXSommaire du match
31 - 2022-11-15210Crunch2Americans4BWSommaire du match
32 - 2022-11-16216Americans4Providence Bruins3AWSommaire du match
36 - 2022-11-20239Americans6Providence Bruins2AWSommaire du match
37 - 2022-11-21253Rockets5Americans6BWXXSommaire du match
39 - 2022-11-23273Reign0Americans2BWSommaire du match
40 - 2022-11-24284Americans3islanders2AWXXSommaire du match
43 - 2022-11-27297Americans4Griffins1AWSommaire du match
45 - 2022-11-29312Rockets-Americans-
48 - 2022-12-02329Americans-Thunderbirds-
50 - 2022-12-04343Wolf Pack-Americans-
52 - 2022-12-06363Americans-Phantoms-
53 - 2022-12-07370Americans-IceHogs-
56 - 2022-12-10382Condors-Americans-
59 - 2022-12-13404Canucks-Americans-
62 - 2022-12-16428Americans-Moose-
63 - 2022-12-17437IceHogs-Americans-
66 - 2022-12-20463Phantoms-Americans-
68 - 2022-12-22475Americans-islanders-
74 - 2022-12-28498Phantoms-Americans-
76 - 2022-12-30518Americans-Checkers-
78 - 2023-01-01529Americans-Firebirds-
80 - 2023-01-03538Roadrunners-Americans-
84 - 2023-01-07563Griffins-Americans-
86 - 2023-01-09583Americans-W-B/Scranton Penguins-
88 - 2023-01-11593Binghamton Senateurs-Americans-
90 - 2023-01-13612Americans-Monsters-
91 - 2023-01-14622Americans-Griffins-
93 - 2023-01-16637islanders-Americans-
94 - 2023-01-17657Texas Stars-Americans-
97 - 2023-01-20667Americans-Rockets-
99 - 2023-01-22684Americans-IceHogs-
101 - 2023-01-24694Griffins-Americans-
102 - 2023-01-25716Americans-Checkers-
103 - 2023-01-26726Marlies-Americans-
106 - 2023-01-29750Wranglers-Americans-
107 - 2023-01-30761Americans-Rockets-
109 - 2023-02-01775Americans-Providence Bruins-
112 - 2023-02-04792Wolves-Americans-
115 - 2023-02-07812Americans-Crunch-
116 - 2023-02-08823Marlies-Americans-
121 - 2023-02-13851Bears-Americans-
122 - 2023-02-14864Americans-Bears-
127 - 2023-02-19886Gulls-Americans-
128 - 2023-02-20907Binghamton Senateurs-Americans-
130 - 2023-02-22923Americans-Comets-
132 - 2023-02-24937Americans-Barracuda-
133 - 2023-02-25946Monsters-Americans-
137 - 2023-03-01972Americans-Binghamton Senateurs-
138 - 2023-03-02981Comets-Americans-
140 - 2023-03-04993Americans-Wolf Pack-
144 - 2023-03-081011Admirals-Americans-
146 - 2023-03-101027Americans-Condors-
147 - 2023-03-111036Americans-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131047Silver Knights-Americans-
152 - 2023-03-161075W-B/Scranton Penguins-Americans-
154 - 2023-03-181091Americans-Barracuda-
157 - 2023-03-211108W-B/Scranton Penguins-Americans-
158 - 2023-03-221125Providence Bruins-Americans-
161 - 2023-03-251138Americans-Binghamton Senateurs-
164 - 2023-03-281164Checkers-Americans-
165 - 2023-03-291169Americans-Wolves-
167 - 2023-03-311183Americans-Eagles-
168 - 2023-04-011189Americans-Marlies-
171 - 2023-04-041206Crunch-Americans-
174 - 2023-04-071227Americans-Iowa Wild-
176 - 2023-04-091243Crunch-Americans-
178 - 2023-04-111257Americans-Marlies-
180 - 2023-04-131273Providence Bruins-Americans-
184 - 2023-04-171304Checkers-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2414
Assistance17,9388,616
Assistance PCT99.66%95.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2950 - 98.35% 91,244$821,193$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,693,459$ 1,895,099$ 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
2,919,797$ 143 14,481$ 2,070,783$




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

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

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

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

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