Connexion

Americans
GP: 49 | W: 24 | L: 22 | OTL: 3 | P: 51
GF: 162 | GA: 159 | PP%: 17.57% | PK%: 77.84%
DG: Cédric Racine | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #790 vs Rocket
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Centre de jeu
Americans
24-22-3, 51pts
2
FINAL
4 Islanders
27-17-6, 60pts
Team Stats
OTW1SéquenceW1
12-11-1Fiche domicile13-8-3
12-11-2Fiche domicile14-9-3
4-6-0Derniers 10 matchs6-4-0
3.31Buts par match 3.54
3.24Buts contre par match 3.52
17.57%Pourcentage en avantage numérique20.67%
77.84%Pourcentage en désavantage numérique76.19%
Americans
24-22-3, 51pts
3
FINAL
2 Reign
18-25-5, 41pts
Team Stats
OTW1SéquenceOTL1
12-11-1Fiche domicile10-12-3
12-11-2Fiche domicile8-13-2
4-6-0Derniers 10 matchs7-2-1
3.31Buts par match 3.23
3.24Buts contre par match 4.10
17.57%Pourcentage en avantage numérique19.62%
77.84%Pourcentage en désavantage numérique70.59%
Rocket
22-26-2, 46pts
2023-12-10
Americans
24-22-3, 51pts
Statistiques d’équipe
L1SéquenceOTW1
11-12-1Fiche domicile12-11-1
11-14-1Fiche visiteur12-11-2
5-5-010 derniers matchs4-6-0
3.00Buts par match 3.31
3.20Buts contre par match 3.31
19.05%Pourcentage en avantage numérique17.57%
76.25%Pourcentage en désavantage numérique77.84%
Eagles
29-18-3, 61pts
2023-12-12
Americans
24-22-3, 51pts
Statistiques d’équipe
L1SéquenceOTW1
13-10-1Fiche domicile12-11-1
16-8-2Fiche visiteur12-11-2
6-3-110 derniers matchs4-6-0
3.46Buts par match 3.31
3.06Buts contre par match 3.31
19.88%Pourcentage en avantage numérique17.57%
79.45%Pourcentage en désavantage numérique77.84%
Americans
24-22-3, 51pts
2023-12-14
Bears
31-18-0, 62pts
Statistiques d’équipe
OTW1SéquenceW1
12-11-1Fiche domicile17-7-0
12-11-2Fiche visiteur14-11-0
4-6-010 derniers matchs6-4-0
3.31Buts par match 2.80
3.24Buts contre par match 2.80
17.57%Pourcentage en avantage numérique15.54%
77.84%Pourcentage en désavantage numérique83.01%
Meneurs d'équipe
Buts
Drake Rymsha
16
Passes
Antti Suomela
24
Points
Antti Suomela
35
Plus/Moins
Drake Rymsha
14
Victoires
Anton Khudobin
14
Pourcentage d’arrêts
Olivier Roy
0.906

Statistiques d’équipe
Buts pour
162
3.31 GFG
Tirs pour
1565
31.94 Avg
Pourcentage en avantage numérique
17.6%
26 GF
Début de zone offensive
41.8%
Buts contre
159
3.24 GAA
Tirs contre
1414
28.86 Avg
Pourcentage en désavantage numérique
77.8%%
41 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralCédric Racine
EntraîneurJack Capuano
DivisionDivision Nord-Est
ConférenceConference 1
CapitaineAustin Levi
Assistant #1Nikolay Goldobin
Assistant #2Tanner Kero


Informations de l’aréna

Capacité3,000
Assistance2,317
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 55
Espoirs9


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
1Anton BlidhX100.0079457973717776716272697268574759646502811,200,000$
2Dominic TurgeonX100.006945877270697370747068756154475938640271900,000$
3Nikolay Goldobin (A)X100.005740917468727166676670616973545763640281900,000$
4Sheldon DriesX100.0063459772677267696268706970524656636402922,500,000$
5Tanner Kero (A)X99.0062459872697473707670657064605053636403122,500,000$
6Matthew PecaX100.0060439970697270717469707568544753636403022,000,000$
7Antti SuomelaX100.006945877267728167747068706655485061630292900,000$
8Joonas KemppainenX100.0064459570717479696967666964504534556303521,500,000$
9Chase PearsonX100.007145867270687266746666755448456053630262750,000$
10Eric O'dellX100.0066488771716868696568696667504642206303311,200,000$
11Ty RonningX99.006345857266687469606971705951476049630261750,000$
12William LockwoodX100.007945807267706869646063765546466063620252900,000$
13Ilya LyubushkinX100.0075488572717587724569667362704852606602911,500,000$
14Cale Fleury (R)X99.007445917071707272456862755650456060640253900,000$
15Austin Levi (C)X100.0083665063727180684571677160726448656403111,500,000$
16Robbie RussoX100.0064459268716977695666676965474553516303011,000,000$
17Yohann AuvituX100.0059449570696769704568697268524642566303421,500,000$
18Noel Hoefenmayer (R)X100.006544857269707065456864695645456060620243750,000$
Rayé
1Joel ChampagneX100.0077548367756576666463647264726244196403311,000,000$
2Drake Rymsha (R)X86.427356807269727068706767726045456051630253750,000$
3Stephane Da CostaX100.0065558471676765686570696567504642196203421,700,000$
4Henri IkonenX100.007145756872696365636261715852495120610291800,000$
5Logan ShawX100.006040946872617964656462705851494819600311900,000$
6Keenan SuthersX100.007549787278696858476161655745456018600252750,000$
7Paul PostmaX100.0061459770736767694565656863604938196303411,200,000$
8Jack SadekX100.006749777274646468456462695850496434620262900,000$
9Brendan DeJongX100.007442737073716857455854695645456020600252750,000$
MOYENNE D’ÉQUIPE99.37684786717070726860676670625448534563
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
1Anton Khudobin97.007678767777717975767875737424496503712,500,000$
2Olivier Roy100.007775767678757979787777465150746203221,800,000$
Rayé
1Matej Tomek100.00828470807771817171757846566028610262750,000$
2Austin Lotz100.00787565777769756969736945535726590283500,000$
MOYENNE D’ÉQUIPE99.2578787278777279747476755359484462
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano79848076999962USA585100,000$


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
1Antti SuomelaAmericans (Buf)C4911243513610596911242919.82%1285817.51281027127000011152.96%111400000.8202011020
2Ty RonningAmericans (Buf)RW4716173311404533122389813.11%782017.46371022123000000032.08%5300010.8000000401
3Matthew PecaAmericans (Buf)LW491418329403360185391017.57%1893219.04213207200061402259.15%7100000.6927000303
4Drake RymshaAmericans (Buf)C4616143014335426478176020.51%656312.240000013471284150.82%66900011.0700100230
5Anton BlidhAmericans (Buf)LW4713162945201066114147889.22%684217.93459291020001111147.37%7600000.6934000314
6Tanner KeroAmericans (Buf)C491118292140449512640838.73%489318.23235231260000133052.85%119200000.6500000060
7Austin LeviAmericans (Buf)D4932225109010134265823445.17%34107922.04156321280222106000%000000.4600002221
8Yohann AuvituAmericans (Buf)D37520255100132847252710.64%3669218.73257269700009100%000000.7212000101
9Sheldon DriesAmericans (Buf)RW4916824210039431232810513.01%581816.7133626124000002150.00%6200000.5917000310
10Noel HoefenmayerAmericans (Buf)D4851924728039196317337.94%48106022.08167331190000135110%000000.4500000112
11Ilya LyubushkinAmericans (Buf)D4941923-453578424318249.30%6794719.34011480111128000%000000.4900010020
12Cale FleuryAmericans (Buf)D49317206759377514464.00%50113823.23224441230000154000%000000.3500010101
13Joonas KemppainenAmericans (Buf)LW4712820-240293890306613.33%465814.022241584000020048.65%7400000.6100000120
14Nikolay GoldobinAmericans (Buf)RW499918740152177195011.69%458311.9000029000001054.90%5100000.6217000103
15Dominic TurgeonAmericans (Buf)C4041216-36026685723437.02%750812.720000000021130052.07%67600000.6300000011
16Chase PearsonAmericans (Buf)LW4568147120202552134911.54%1046510.350000031471171082.61%2300000.6000000000
17Robbie RussoAmericans (Buf)D3021012110016132313188.70%3153417.832131030011040100%000000.4500000100
18William LockwoodAmericans (Buf)RW494711116050205617497.14%64348.87000010000471053.23%6200000.5100000110
19Jack SadekAmericans (Buf)D250440275291318550%2140016.0000017000029000%000000.2000001000
20Eric O'dellAmericans (Buf)C7213-2002852840.00%18912.85000000000230047.22%10800000.6700000000
21Paul PostmaAmericans (Buf)D7022520232010%59613.780000000001000%000000.4100000000
22Logan ShawAmericans (Buf)RW210110000100100.00%0168.260000000000010%000001.2100000000
23Joel ChampagneAmericans (Buf)LW6000-140435010%1457.6600000000070050.00%20000000000000
24Keenan SuthersAmericans (Buf)LW2000000000010%0105.330000000000000%00000000000000
25Stephane Da CostaAmericans (Buf)C5000000226140%0408.0100000000000038.78%490000000000000
Statistiques d’équipe totales ou en moyenne88215727343071436408367911565471109510.03%3831453316.482649753141288481226121419851.96%428200020.59829134242217
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
1Anton KhudobinAmericans (Buf)32141620.8793.441799221038490000.800153214113
2Olivier RoyAmericans (Buf)2110610.9062.70117701535640010.857141732120
Statistiques d’équipe totales ou en moyenne53242230.8903.152976231561413001294946233


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Anton BlidhAmericans (Buf)LW281995-03-14No201 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Anton KhudobinAmericans (Buf)G371986-05-07No210 Lbs5 ft11NoNoN/ANoNo1Pro & Farm2,500,000$0$0$No------------------Lien
Antti SuomelaAmericans (Buf)C291994-03-17No180 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Austin LeviAmericans (Buf)D311992-02-16No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Austin LotzAmericans (Buf)G281995-05-27No190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien
Brendan DeJongAmericans (Buf)D251998-03-23No200 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Cale FleuryAmericans (Buf)D251998-11-19Yes204 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Chase PearsonAmericans (Buf)LW261997-08-23No202 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Dominic TurgeonAmericans (Buf)C271996-02-25No199 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Drake Rymsha (sur la masse salariale)Americans (Buf)C251998-08-06Yes187 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$0$0$Yes750,000$750,000$-------NoNo-------Lien
Eric O'dellAmericans (Buf)C331990-06-21No205 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Henri IkonenAmericans (Buf)RW291994-04-17No191 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Ilya LyubushkinAmericans (Buf)D291994-04-06No201 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Jack SadekAmericans (Buf)D261997-04-19No197 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Joel ChampagneAmericans (Buf)LW331990-01-24No214 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Joonas KemppainenAmericans (Buf)LW351988-04-07No185 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Keenan SuthersAmericans (Buf)LW251998-04-27No245 Lbs6 ft8NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Logan ShawAmericans (Buf)RW311992-10-05No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Matej TomekAmericans (Buf)G261997-05-24No182 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Matthew PecaAmericans (Buf)LW301993-04-27No181 Lbs5 ft10NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Nikolay GoldobinAmericans (Buf)RW281995-10-07No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Noel HoefenmayerAmericans (Buf)D241999-01-06Yes191 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Olivier RoyAmericans (Buf)G321991-07-12No194 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,800,000$0$0$No1,800,000$--------No--------Lien
Paul PostmaAmericans (Buf)D341989-02-22No198 Lbs6 ft5NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Robbie RussoAmericans (Buf)D301993-02-15No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Sheldon DriesAmericans (Buf)RW291994-04-23No180 Lbs5 ft9NoNoN/ANoNo2Pro & Farm2,500,000$0$0$No2,500,000$--------No--------Lien
Stephane Da CostaAmericans (Buf)C341989-07-11No178 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Tanner KeroAmericans (Buf)C311992-07-24No185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,500,000$0$0$No2,500,000$--------No--------Lien
Ty RonningAmericans (Buf)RW261997-10-20No172 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
William LockwoodAmericans (Buf)RW251998-06-20No172 Lbs5 ft11NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Yohann AuvituAmericans (Buf)D341989-07-27No196 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3129.19195 Lbs6 ft11.711,208,065$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PecaTanner KeroTy Ronning33023
2Anton BlidhAntti SuomelaSheldon Dries28023
3Joonas KemppainenDominic TurgeonNikolay Goldobin23023
4Chase PearsonEric O'dellWilliam Lockwood16032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryAustin Levi37023
2Yohann AuvituNoel Hoefenmayer35032
3Robbie RussoIlya Lyubushkin28122
4Cale FleuryIlya Lyubushkin0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PecaTanner KeroTy Ronning52014
2Anton BlidhAntti SuomelaSheldon Dries48014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryAustin Levi52023
2Yohann AuvituNoel Hoefenmayer48023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominic TurgeonWilliam Lockwood53032
2Eric O'dellChase Pearson47032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryIlya Lyubushkin56032
2Austin LeviNoel Hoefenmayer44032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominic Turgeon52014Cale FleuryIlya Lyubushkin55050
2Eric O'dell48014Austin LeviNoel Hoefenmayer45050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner KeroTy Ronning52023
2Antti SuomelaSheldon Dries48023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinAustin Levi52032
2Cale FleuryNoel Hoefenmayer48032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaAntti SuomelaSheldon DriesCale FleuryAustin Levi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaDominic TurgeonWilliam LockwoodCale FleuryIlya Lyubushkin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joonas Kemppainen, Nikolay Goldobin, Eric O'dellMatthew Peca, Nikolay GoldobinWilliam Lockwood
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noel Hoefenmayer, Robbie Russo, Yohann AuvituCale FleuryNoel Hoefenmayer, Robbie Russo
Tirs de pénalité
Nikolay Goldobin, Sheldon Dries, Matthew Peca, Ty Ronning, Antti Suomela
Gardien
#1 : Anton Khudobin, #2 : Olivier Roy


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
1Admirals1010000045-1000000000001010000045-100.0004711006149469315295175074131836202150.00%7185.71%1933179152.09%846164051.59%44685152.41%11868071141368653327
2Bears3120000067-1211000004401010000023-120.3336101601614946910252951750741682530389222.22%14471.43%1933179152.09%846164051.59%44685152.41%11868071141368653327
3BruinsF2100001011740000000000021000010117441.000111728006149469785295175074159148316116.67%3166.67%0933179152.09%846164051.59%44685152.41%11868071141368653327
4Comets312000009811010000023-12110000075220.333916250061494696952951750741822734587228.57%17288.24%0933179152.09%846164051.59%44685152.41%11868071141368653327
5Condors11000000404000000000001100000040421.000481201614946930529517507411752164250.00%10100.00%0933179152.09%846164051.59%44685152.41%11868071141368653327
6Crunch1010000047-3000000000001010000047-300.0004610006149469315295175074132369300.00%3233.33%0933179152.09%846164051.59%44685152.41%11868071141368653327
7Firebirds22000000835110000003211100000051441.000814220061494696052951750741531716325120.00%8275.00%0933179152.09%846164051.59%44685152.41%11868071141368653327
8Gulls22000000927220000009270000000000041.00091726016149469655295175074146131042200.00%30100.00%1933179152.09%846164051.59%44685152.41%11868071141368653327
9Iowa Wild11000000642110000006420000000000021.000691500614946946529517507412761414500.00%7271.43%0933179152.09%846164051.59%44685152.41%11868071141368653327
10Islanders41200010161512100001012842020000047-340.5001625410061494691225295175074112737386213323.08%14471.43%0933179152.09%846164051.59%44685152.41%11868071141368653327
11Marlies2020000037-42020000037-40000000000000.0003690061494696152951750741492012408112.50%6266.67%0933179152.09%846164051.59%44685152.41%11868071141368653327
12Moose1010000024-2000000000001010000024-200.00023500614946914529517507413591415100.00%70100.00%0933179152.09%846164051.59%44685152.41%11868071141368653327
13PenguinsF410000121413121000001431200000111010060.7501425390061494691395295175074113035306214428.57%14378.57%0933179152.09%846164051.59%44685152.41%11868071141368653327
14Phantoms531000101914532100000131032100001064280.8001932510061494691875295175074112832348416318.75%17288.24%0933179152.09%846164051.59%44685152.41%11868071141368653327
15Reign10001000321000000000001000100032121.0003470061494692952951750741268620200.00%20100.00%0933179152.09%846164051.59%44685152.41%11868071141368653327
16Rocket312000001115-41010000035-221100000810-220.333112132106149469107529517507419323494616212.50%15286.67%1933179152.09%846164051.59%44685152.41%11868071141368653327
17SenatorsF20000110880000000000002000011088030.750812200061494696852951750741611314318112.50%7185.71%0933179152.09%846164051.59%44685152.41%11868071141368653327
18Silver Knights1010000023-11010000023-10000000000000.000235006149469415295175074138312186116.67%6183.33%0933179152.09%846164051.59%44685152.41%11868071141368653327
19StarsF1010000024-21010000024-20000000000000.0002350061494692352951750741407619000%30100.00%0933179152.09%846164051.59%44685152.41%11868071141368653327
20Wolf Pack514000001018-830300000815-72110000023-120.200101828006149469142529517507411615040921119.09%20670.00%0933179152.09%846164051.59%44685152.41%11868071141368653327
21Wolves32100000990220000008441010000015-440.667915240061494699852951750741772419689111.11%7357.14%0933179152.09%846164051.59%44685152.41%11868071141368653327
22Wranglers1010000024-2000000000001010000024-200.0002240061494692252951750741344819100.00%4325.00%0933179152.09%846164051.59%44685152.41%11868071141368653327
Total491822011521621593241111000117974525711011418385-2510.52016227343513614946915655295175074114143834388361482617.57%1854177.84%4933179152.09%846164051.59%44685152.41%11868071141368653327
_Since Last GM Reset491822011521621593241111000117974525711011418385-2510.52016227343513614946915655295175074114143834388361482617.57%1854177.84%4933179152.09%846164051.59%44685152.41%11868071141368653327
_Vs Conference40141800152130135-51989000116061-12169001417074-4410.51313022035011614946912785295175074111553293446681262217.46%1523477.63%2933179152.09%846164051.59%44685152.41%11868071141368653327
_Vs Division2724001208384-1150300000514741221001203237-590.1678314122401614946985952951750741773230225464791620.25%1032476.70%1933179152.09%846164051.59%44685152.41%11868071141368653327

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4951OTW11622734351565141438343883613
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4918221152162159
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24111100117974
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2571111418385
Derniers 10 matchs
WLOTWOTL SOWSOL
261010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1482617.57%1854177.84%4
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
529517507416149469
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
933179152.09%846164051.59%44685152.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11868071141368653327


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
2 - 2023-08-2616Americans4Comets1AWSommaire du match
4 - 2023-08-2823Americans4SenatorsF5ALXSommaire du match
5 - 2023-08-2931Phantoms4Americans6BWSommaire du match
7 - 2023-08-3153Phantoms1Americans4BWSommaire du match
10 - 2023-09-0376Gulls2Americans5BWSommaire du match
12 - 2023-09-0589Americans2Phantoms1AWSommaire du match
14 - 2023-09-07107Wolf Pack6Americans2BLSommaire du match
15 - 2023-09-08115Americans5BruinsF2AWSommaire du match
19 - 2023-09-12140Americans2Islanders3ALSommaire du match
21 - 2023-09-14154Islanders6Americans7BWXXSommaire du match
23 - 2023-09-16171Wolves1Americans2BWSommaire du match
25 - 2023-09-18190Americans5Firebirds1AWSommaire du match
26 - 2023-09-19199Americans6PenguinsF7ALXXSommaire du match
29 - 2023-09-22215Marlies5Americans2BLSommaire du match
32 - 2023-09-25238PenguinsF2Americans1BLXXSommaire du match
34 - 2023-09-27253Americans1Wolves5ALSommaire du match
36 - 2023-09-29265Americans6BruinsF5AWXXSommaire du match
38 - 2023-10-01277PenguinsF1Americans3BWSommaire du match
41 - 2023-10-04298Phantoms5Americans3BLSommaire du match
44 - 2023-10-07328Comets3Americans2BLSommaire du match
46 - 2023-10-09339Americans2Moose4ALSommaire du match
48 - 2023-10-11354Marlies2Americans1BLSommaire du match
50 - 2023-10-13370Americans4Crunch7ALSommaire du match
53 - 2023-10-16394Islanders2Americans5BWSommaire du match
55 - 2023-10-18404Americans3Comets4ALSommaire du match
57 - 2023-10-20419Wolf Pack2Americans0BLSommaire du match
58 - 2023-10-21433Americans4Condors0AWSommaire du match
61 - 2023-10-24452Iowa Wild4Americans6BWSommaire du match
64 - 2023-10-27474Americans3Rocket6ALSommaire du match
66 - 2023-10-29487Americans2Bears3ALSommaire du match
68 - 2023-10-31494Bears4Americans3BLSommaire du match
70 - 2023-11-02510Americans4Admirals5ALSommaire du match
72 - 2023-11-04526Bears0Americans1BWSommaire du match
74 - 2023-11-06536Americans4PenguinsF3AWXXSommaire du match
76 - 2023-11-08554Wolves3Americans6BWSommaire du match
78 - 2023-11-10567Americans2Wolf Pack1AWSommaire du match
81 - 2023-11-13586Americans4Phantoms3AWXXSommaire du match
82 - 2023-11-14598StarsF4Americans2BLSommaire du match
85 - 2023-11-17619Gulls0Americans4BWSommaire du match
87 - 2023-11-19638Americans5Rocket4AWSommaire du match
90 - 2023-11-22654Firebirds2Americans3BWSommaire du match
92 - 2023-11-24673Americans2Wranglers4ALSommaire du match
93 - 2023-11-25683Americans4SenatorsF3AWXXSommaire du match
95 - 2023-11-27695Silver Knights3Americans2BLSommaire du match
97 - 2023-11-29715Rocket5Americans3BLSommaire du match
100 - 2023-12-02733Americans0Wolf Pack2ALSommaire du match
102 - 2023-12-04749Wolf Pack7Americans6BLSommaire du match
104 - 2023-12-06766Americans2Islanders4ALSommaire du match
106 - 2023-12-08778Americans3Reign2AWXSommaire du match
108 - 2023-12-10790Rocket-Americans-
110 - 2023-12-12812Eagles-Americans-
112 - 2023-12-14826Americans-Bears-
114 - 2023-12-16839Americans-SenatorsF-
115 - 2023-12-17852Comets-Americans-
119 - 2023-12-21875Barracuda-Americans-
121 - 2023-12-23887Americans-Monsters-
123 - 2023-12-25907Crunch-Americans-
125 - 2023-12-27922Americans-Firebirds-
127 - 2023-12-29939Icehogs-Americans-
129 - 2023-12-31948Americans-Wranglers-
132 - 2024-01-03970Americans-Moose-
134 - 2024-01-05982Moose-Americans-
136 - 2024-01-071002Americans-Crunch-
137 - 2024-01-081012Crunch-Americans-
141 - 2024-01-121036Firebirds-Americans-
143 - 2024-01-141049Americans-Canucks-
145 - 2024-01-161069SenatorsF-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2024-01-191083Americans-Wolves-
150 - 2024-01-211098Americans-Marlies-
152 - 2024-01-231108Moose-Americans-
153 - 2024-01-241124Americans-Roadrunners-
155 - 2024-01-261133Americans-Griffins-
157 - 2024-01-281147Checkers-Americans-
160 - 2024-01-311167SenatorsF-Americans-
162 - 2024-02-021183Americans-Icehogs-
163 - 2024-02-031196Americans-Marlies-
165 - 2024-02-051205Thunderbirds-Americans-
169 - 2024-02-091232Checkers-Americans-
171 - 2024-02-111245Americans-Checkers-
175 - 2024-02-151266BruinsF-Americans-
176 - 2024-02-161273Americans-Checkers-
181 - 2024-02-211307BruinsF-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4015
Assistance32,32123,290
Assistance PCT67.34%97.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 2317 - 77.24% 99,216$2,381,175$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,121,685$ 3,670,000$ 3,670,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,063,469$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,686,666$ 76 20,714$ 1,574,264$




Americans Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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 des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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