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Americans
GP: 22 | W: 11 | L: 9 | OTL: 2 | P: 24
GF: 84 | GA: 80 | PP%: 20.63% | PK%: 68.66%
DG: Cédric Racine | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #362 vs Gulls
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Centre de jeu
Thunderbirds
7-14-1, 15pts
3
FINAL
5 Americans
11-9-2, 24pts
Team Stats
L2SéquenceW3
4-7-0Fiche domicile8-2-1
3-7-1Fiche domicile3-7-1
4-6-0Derniers 10 matchs5-4-1
2.77Buts par match 3.82
3.86Buts contre par match 3.64
20.31%Pourcentage en avantage numérique20.63%
82.76%Pourcentage en désavantage numérique68.66%
Americans
11-9-2, 24pts
5
FINAL
2 Marlies
11-8-4, 26pts
Team Stats
W3SéquenceL2
8-2-1Fiche domicile5-3-3
3-7-1Fiche domicile6-5-1
5-4-1Derniers 10 matchs1-7-2
3.82Buts par match 3.87
3.64Buts contre par match 3.65
20.63%Pourcentage en avantage numérique23.19%
68.66%Pourcentage en désavantage numérique86.21%
Gulls
10-9-3, 23pts
2024-10-22
Americans
11-9-2, 24pts
Statistiques d’équipe
L1SéquenceW3
6-2-3Fiche domicile8-2-1
4-7-0Fiche visiteur3-7-1
5-3-210 derniers matchs5-4-1
2.91Buts par match 3.82
3.18Buts contre par match 3.82
14.93%Pourcentage en avantage numérique20.63%
78.38%Pourcentage en désavantage numérique68.66%
Americans
11-9-2, 24pts
2024-10-24
Islanders
14-8-0, 28pts
Statistiques d’équipe
W3SéquenceW3
8-2-1Fiche domicile5-6-0
3-7-1Fiche visiteur9-2-0
5-4-110 derniers matchs7-3-0
3.82Buts par match 3.73
3.64Buts contre par match 3.73
20.63%Pourcentage en avantage numérique25.00%
68.66%Pourcentage en désavantage numérique77.94%
Americans
11-9-2, 24pts
2024-10-26
Wranglers
13-6-3, 29pts
Statistiques d’équipe
W3SéquenceW1
8-2-1Fiche domicile7-3-1
3-7-1Fiche visiteur6-3-2
5-4-110 derniers matchs5-3-2
3.82Buts par match 3.36
3.64Buts contre par match 3.36
20.63%Pourcentage en avantage numérique15.07%
68.66%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Buts
Sven Andrighetto
8
Passes
David Rundblad
15
Points
Scott Wilson
19
Plus/Moins
Ty Ronning
13
Victoires
Olivier Roy
8
Pourcentage d’arrêts
Matej Tomek
0.905

Statistiques d’équipe
Buts pour
84
3.82 GFG
Tirs pour
726
33.00 Avg
Pourcentage en avantage numérique
20.6%
13 GF
Début de zone offensive
39.4%
Buts contre
80
3.64 GAA
Tirs contre
743
33.77 Avg
Pourcentage en désavantage numérique
68.7%%
21 GA
Début de la zone défensive
40.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,283
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 56
Espoirs11


Historique d'équipe

Saison actuelle11-9-2 (24PTS)
Historique53-44-8 (0.505%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10-7
Coupe Stanley0


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
1Matt MartinXX100.0079758075747185726068687166926234566703512,000,000$
2Anton BlidhXX100.0081457773717978726372717270635156536602911,500,000$
3Dmitri JaskinXX100.0066408868706772706670737170676252566603112,000,000$
4Matthew PecaXX100.0059439870697472737670727770605150566603112,000,000$
5Dominic TurgeonX100.0068458672706875707570687660604958566502811,200,000$
6Tanner Kero (A)X100.0062459772697675697871656863665350566503212,500,000$
7Sven AndrighettoXX100.0058399568647380705974696979685952566503111,500,000$
8Scott WilsonX100.0064449771687086707369687366765046566503221,500,000$
9Nikolay Goldobin (A)XX100.0056409274687173666966706270795754566402921,100,000$
10Drake RymshaX100.007457787269737270696969746050476056640262750,000$
11Sheldon DriesXX100.0062459672677469696468706971585053566403012,500,000$
12Ty RonningXX100.0063458672667076695969727059575160566402721,100,000$
13Christian DjoosX100.0061449277677385744574687259755354416703012,000,000$
14Jon MerrillX100.0062459372737181714568677365785646566603221,700,000$
15Cale FleuryX100.007246927071727471456861745656486056650252900,000$
16Andrey PedanX100.0081688069777173714568687166534753576503121,500,000$
17David RundbladX100.0059449771716867704568677065564742566403421,300,000$
18Yohann AuvituX100.0058449570696871714570707270574838566403511,500,000$
Rayé
1Ondrej KaseXX100.0061459871707278706269686966635759286402811,200,000$
2William LockwoodXX100.008145787267687070666163775552496028630261900,000$
3Joonas KemppainenXX100.0063459569707381687066666963554730286203611,500,000$
4Stephane Da CostaX100.0064548471676563676368686666524738286203511,700,000$
5Keenan SuthersXX100.007348807278676656485959635747466028590261750,000$
6Noel HoefenmayerX100.006544867269727266456866705651486033630252750,000$
7Jack SadekX100.006850767274646367456360695854516228620271900,000$
8Xavier Bernard (R)X100.007250707272707066456360705045457028610243750,000$
9Brendan DeJongX100.007342727073706756455854685647466028590261750,000$
MOYENNE D’ÉQUIPE100.00674787717071746958686771636151524664
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
1Olivier Roy100.007776767678757979787779495347566303311,800,000$
2Matej Tomek100.00838369807870807070747749596061610271750,000$
Rayé
1Austin Lotz100.00787464777768746868726847555439580292500,000$
MOYENNE D’ÉQUIPE100.0079787078787178727274754856545261
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano77868577999960USA594100,000$


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
1Scott WilsonAmericans (Buf)C2261319-340165255113610.91%335516.181451048000000052.94%47600001.0700000100
2Anton BlidhAmericans (Buf)LW/RW22711186295571963284811.11%441618.93044651000010048.48%3300000.8613010220
3David RundbladAmericans (Buf)D223151854024103111149.68%2340418.402351544000024000%000000.8900000111
4Sven AndrighettoAmericans (Buf)LW/RW228101814092157134014.04%141318.79112747000001043.33%3000000.8700000011
5Yohann AuvituAmericans (Buf)D22215179201522339216.06%3444920.430221750000143100%000000.7600000011
6Andrey PedanAmericans (Buf)D22410149415342025112716.00%2743319.73123115000004000%000000.6500001021
7Ty RonningAmericans (Buf)LW/RW227714130091438152518.42%626011.85000000002441030.43%2300001.0700000203
8Drake RymshaAmericans (Buf)C225813810023383781613.51%726111.89000000001412152.77%34300000.9900000020
9Dmitri JaskinAmericans (Buf)LW/RW227613180181448204614.58%533515.26314547000000042.31%2600000.7701000010
10Matthew PecaAmericans (Buf)LW/RW227512-50093170265010.00%441318.7821313520001530050.00%3000000.5801000101
11Cale FleuryAmericans (Buf)D222911716015151851511.11%2844820.3710118000049000%000000.4900000102
12Tanner KeroAmericans (Buf)C22741170063863173411.11%340018.22011951000000054.98%52200000.5500000101
13Dominic TurgeonAmericans (Buf)C2264101100264440113415.00%231114.14000220002512055.53%43400000.6400000020
14Matt MartinAmericans (Buf)LW/RW2245911002994212309.52%223510.7200000000000053.85%1300000.7603000000
15Nikolay GoldobinAmericans (Buf)LW/RW2217864029286203.57%123210.58011140000100060.71%2800000.6900000000
16Jon MerrillAmericans (Buf)D2217811001119268173.85%3446020.95011826000043000%000000.3500000100
17Christian DjoosAmericans (Buf)D7257-100081051020.00%615121.6523572100006100%000000.9200000000
18Sheldon DriesAmericans (Buf)LW/RW2234710031229101610.34%023710.7900001000002036.00%2500000.5900000001
19Patrik NemethSabresD11033-3401999450%1823121.0800001000026000%000000.2600000000
20Noel HoefenmayerAmericans (Buf)D4112-2008440025.00%66917.340000000009000%000000.5800000000
Statistiques d’équipe totales ou en moyenne39683149232621561033340872623050411.43%214652416.48132437112511000741010153.25%198300000.7118011101212
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
1Olivier RoyAmericans (Buf)158610.8893.6685301524690100.7504157011
2Matej TomekAmericans (Buf)83310.9053.2647940262740000.6005715100
Statistiques d’équipe totales ou en moyenne2311920.8953.511332417874301092222111


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
Andrey PedanAmericans (Buf)D311993-07-03No233 Lbs6 ft5NoNoFree AgentNoNo22024-07-22Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Anton BlidhAmericans (Buf)LW/RW291995-03-14No201 Lbs6 ft0NoNoN/ANoNo12024-04-29Pro & Farm1,500,000$0$0$No------------------Lien
Austin LotzAmericans (Buf)G291995-05-27No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Brendan DeJongAmericans (Buf)D261998-03-23No200 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Cale FleuryAmericans (Buf)D251998-11-19No204 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Christian DjoosAmericans (Buf)D301994-08-06No169 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
David RundbladAmericans (Buf)D341990-10-08No187 Lbs6 ft2NoNoFree AgentNoNo22024-07-26Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Dmitri JaskinAmericans (Buf)LW/RW311993-03-23No196 Lbs6 ft2NoNoN/ANoNo12023-12-30Pro & Farm2,000,000$0$0$No------------------Lien
Dominic TurgeonAmericans (Buf)C281996-02-25No199 Lbs6 ft2NoNoN/ANoNo12024-04-29Pro & Farm1,200,000$0$0$No------------------Lien
Drake RymshaAmericans (Buf)C261998-08-06No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jack SadekAmericans (Buf)D271997-04-19No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Jon MerrillAmericans (Buf)D321992-02-03No204 Lbs6 ft3NoNoFree AgentNoNo22024-07-12Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Joonas KemppainenAmericans (Buf)LW/RW361988-04-07No185 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Keenan SuthersAmericans (Buf)LW/RW261998-04-27No245 Lbs6 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Matej TomekAmericans (Buf)G271997-05-24No182 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Matt MartinAmericans (Buf)LW/RW351989-05-08 18:01:24No215 Lbs6 ft3NoNoFree AgentNoNo12024-07-24Pro & Farm2,000,000$0$0$No------------------Lien
Matthew PecaAmericans (Buf)LW/RW311993-04-27No181 Lbs5 ft10NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
Nikolay GoldobinAmericans (Buf)LW/RW291995-10-07No196 Lbs5 ft11NoNoN/ANoNo22024-04-29Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Noel HoefenmayerAmericans (Buf)D251999-01-06No191 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Olivier RoyAmericans (Buf)G331991-07-12No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,800,000$0$0$No------------------Lien
Ondrej KaseAmericans (Buf)LW/RW281995-11-08No187 Lbs6 ft0NoNoFree AgentNoNo12024-07-26Pro & Farm1,200,000$0$0$No------------------Lien
Scott WilsonAmericans (Buf)C321992-04-24No176 Lbs5 ft10NoNoFree AgentNoNo22024-07-22Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Sheldon DriesAmericans (Buf)LW/RW301994-04-23No180 Lbs5 ft9NoNoN/ANoNo1Pro & Farm2,500,000$0$0$No------------------Lien
Stephane Da CostaAmericans (Buf)C351989-07-11No178 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Sven AndrighettoAmericans (Buf)LW/RW311993-03-21No187 Lbs5 ft10NoNoTrade2024-06-25NoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Tanner KeroAmericans (Buf)C321992-07-24No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,500,000$0$0$No------------------Lien
Ty RonningAmericans (Buf)LW/RW271997-10-20No172 Lbs5 ft9NoNoN/ANoNo22024-04-29Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
William LockwoodAmericans (Buf)LW/RW261998-06-20No172 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Xavier BernardAmericans (Buf)D242000-01-06Yes205 Lbs6 ft3NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Yohann AuvituAmericans (Buf)D351989-07-27No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3029.67193 Lbs6 ft11.401,360,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sven AndrighettoScott WilsonAnton Blidh32023
2Dmitri JaskinDrake RymshaTy Ronning27023
3Nikolay GoldobinDominic TurgeonMatthew Peca22032
4Sheldon DriesTanner KeroMatt Martin19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yohann AuvituAndrey Pedan36032
2Christian DjoosCale Fleury34032
3Jon MerrillDavid Rundblad30032
4Cale FleuryJon Merrill0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PecaTanner KeroAnton Blidh55023
2Sven AndrighettoScott WilsonDmitri Jaskin45023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yohann AuvituChristian Djoos54032
2David RundbladAndrey Pedan46032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominic TurgeonMatthew Peca53032
2Drake RymshaTy Ronning47032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillCale Fleury52032
2David RundbladYohann Auvitu48032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominic Turgeon52041Jon MerrillCale Fleury50122
2Drake Rymsha48041David RundbladChristian Djoos50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner KeroAnton Blidh50122
2Drake RymshaMatthew Peca50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yohann AuvituChristian Djoos50122
2David RundbladAndrey Pedan50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaTanner KeroAnton BlidhYohann AuvituChristian Djoos
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaDominic TurgeonAnton BlidhJon MerrillCale Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sven Andrighetto, Scott Wilson, Nikolay GoldobinSven Andrighetto, Scott WilsonNikolay Goldobin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Yohann Auvitu, David Rundblad, Cale FleuryYohann AuvituDavid Rundblad, Cale Fleury
Tirs de pénalité
Matt Martin, Anton Blidh, Matthew Peca, Dmitri Jaskin, Dominic Turgeon
Gardien
#1 : Olivier Roy, #2 : Matej Tomek


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
1Barracuda11000000532110000005320000000000021.000591400273124237241247230162266123133.33%3166.67%040577552.26%43279654.27%21939655.30%526362519163290147
2BruinsF21100000511-6110000005411010000007-720.5005813002731242732412472301698312043500.00%9455.56%040577552.26%43279654.27%21939655.30%526362519163290147
3Checkers11000000312110000003120000000000021.00035800273124227241247230163911812100.00%30100.00%040577552.26%43279654.27%21939655.30%526362519163290147
4Comets20101000660000000000002010100066020.500611170027312426224124723016581710236116.67%5260.00%040577552.26%43279654.27%21939655.30%526362519163290147
5Condors11000000606000000000001100000060621.0006121801273124234241247230162411914200.00%20100.00%040577552.26%43279654.27%21939655.30%526362519163290147
6Griffins1010000046-21010000046-20000000000000.00047110027312424024124723016455416100.00%10100.00%040577552.26%43279654.27%21939655.30%526362519163290147
7Marlies2100000110821000000156-11100000052330.7501017270027312427424124723016572012318337.50%5340.00%040577552.26%43279654.27%21939655.30%526362519163290147
8Moose1010000014-3000000000001010000014-300.000123002731242102412472301634581311100.00%40100.00%040577552.26%43279654.27%21939655.30%526362519163290147
9PenguinsF1010000034-11010000034-10000000000000.000358002731242302412472301636101018200.00%5340.00%040577552.26%43279654.27%21939655.30%526362519163290147
10Phantoms21100000981110000007521010000023-120.50091726002731242682412472301660142141500.00%7185.71%040577552.26%43279654.27%21939655.30%526362519163290147
11Rocket1010000023-1000000000001010000023-100.00024600273124228241247230163012813200.00%30100.00%040577552.26%43279654.27%21939655.30%526362519163290147
12SenatorsF1010000036-3000000000001010000036-300.000358002731242342412472301638126146350.00%330.00%040577552.26%43279654.27%21939655.30%526362519163290147
13Thunderbirds11000000532110000005320000000000021.000591400273124235241247230161984145240.00%10100.00%040577552.26%43279654.27%21939655.30%526362519163290147
14Wolf Pack320000101881032000010188100000000000061.00018325000273124211224124723016883116429111.11%8187.50%040577552.26%43279654.27%21939655.30%526362519163290147
15Wranglers2010000149-5000000000002010000149-510.25046100027312426224124723016952118277114.29%8362.50%040577552.26%43279654.27%21939655.30%526362519163290147
Total229901012848041172000115540151127010012940-11240.5458414923301273124272624124723016743214160333631320.63%672168.66%040577552.26%43279654.27%21939655.30%526362519163290147
_Since Last GM Reset229901012848041172000115540151127010012940-11240.5458414923301273124272624124723016743214160333631320.63%672168.66%040577552.26%43279654.27%21939655.30%526362519163290147
_Vs Conference1667010116059185100011412813816010001931-12170.531601061660027312425182412472301653816311925045920.00%521767.31%040577552.26%43279654.27%21939655.30%526362519163290147
_Vs Division82300001362610510000012817113130000089-150.31336651010027312422722412472301624272571242229.09%25772.00%040577552.26%43279654.27%21939655.30%526362519163290147

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2224W38414923372674321416033301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
229910128480
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117200115540
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
112710012940
Derniers 10 matchs
WLOTWOTL SOWSOL
440011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
631320.63%672168.66%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
241247230162731242
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
40577552.26%43279654.27%21939655.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
526362519163290147


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 - 2024-09-032Americans0Wranglers4ALSommaire du match
4 - 2024-09-0626Wolf Pack1Americans7BWSommaire du match
6 - 2024-09-0839Checkers1Americans3BWSommaire du match
8 - 2024-09-1055Americans2Phantoms3ALSommaire du match
11 - 2024-09-1373Americans3Comets2AWXSommaire du match
13 - 2024-09-1590Wolf Pack4Americans7BWSommaire du match
15 - 2024-09-17109Phantoms5Americans7BWSommaire du match
17 - 2024-09-19126Marlies6Americans5BLXXSommaire du match
19 - 2024-09-21138Americans3Comets4ALSommaire du match
20 - 2024-09-22146Americans2Rocket3ALSommaire du match
23 - 2024-09-25169PenguinsF4Americans3BLSommaire du match
26 - 2024-09-28186Americans6Condors0AWSommaire du match
28 - 2024-09-30203Americans0BruinsF7ALSommaire du match
29 - 2024-10-01216BruinsF4Americans5BWSommaire du match
32 - 2024-10-04234Griffins6Americans4BLSommaire du match
36 - 2024-10-08255Americans1Moose4ALSommaire du match
38 - 2024-10-10267Wolf Pack3Americans4BWXXSommaire du match
40 - 2024-10-12284Americans4Wranglers5ALXXSommaire du match
42 - 2024-10-14298Americans3SenatorsF6ALSommaire du match
44 - 2024-10-16310Barracuda3Americans5BWSommaire du match
46 - 2024-10-18330Thunderbirds3Americans5BWSommaire du match
48 - 2024-10-20345Americans5Marlies2AWSommaire du match
50 - 2024-10-22362Gulls-Americans-
52 - 2024-10-24373Americans-Islanders-
54 - 2024-10-26388Americans-Wranglers-
56 - 2024-10-28401Americans-Checkers-
58 - 2024-10-30411Silver Knights-Americans-
60 - 2024-11-01426Americans-Reign-
62 - 2024-11-03441Phantoms-Americans-
65 - 2024-11-06461Americans-Canucks-
67 - 2024-11-08471Americans-Condors-
68 - 2024-11-09480SenatorsF-Americans-
71 - 2024-11-12504Americans-SenatorsF-
72 - 2024-11-13511Wolves-Americans-
75 - 2024-11-16534Eagles-Americans-
77 - 2024-11-18545Americans-Wolves-
79 - 2024-11-20559Americans-Phantoms-
80 - 2024-11-21572Monsters-Americans-
83 - 2024-11-24595Americans-Comets-
85 - 2024-11-26606PenguinsF-Americans-
87 - 2024-11-28624Americans-StarsF-
88 - 2024-11-29636Griffins-Americans-
90 - 2024-12-01650Americans-BruinsF-
93 - 2024-12-04666Americans-Wolf Pack-
94 - 2024-12-05674BruinsF-Americans-
97 - 2024-12-08695Americans-Marlies-
98 - 2024-12-09703SenatorsF-Americans-
101 - 2024-12-12726Americans-Firebirds-
102 - 2024-12-13735Wolves-Americans-
106 - 2024-12-17760Americans-Checkers-
107 - 2024-12-18767Islanders-Americans-
111 - 2024-12-22795Islanders-Americans-
113 - 2024-12-24814Americans-Firebirds-
115 - 2024-12-26823Americans-Crunch-
116 - 2024-12-27832Iowa Wild-Americans-
119 - 2024-12-30859Moose-Americans-
121 - 2025-01-01875Americans-Roadrunners-
124 - 2025-01-04890Moose-Americans-
126 - 2025-01-06911Americans-PenguinsF-
127 - 2025-01-07920Marlies-Americans-
130 - 2025-01-10942Americans-Wolf Pack-
132 - 2025-01-12953Americans-Admirals-
133 - 2025-01-13961Firebirds-Americans-
137 - 2025-01-17989Firebirds-Americans-
139 - 2025-01-191010Americans-Rocket-
140 - 2025-01-201019Bears-Americans-
144 - 2025-01-241046Bears-Americans-
146 - 2025-01-261061Americans-Wolves-
148 - 2025-01-281077Americans-Islanders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291086Icehogs-Americans-
151 - 2025-01-311100Americans-Crunch-
153 - 2025-02-021111Americans-PenguinsF-
154 - 2025-02-031120Rocket-Americans-
158 - 2025-02-071146Americans-Moose-
159 - 2025-02-081151Crunch-Americans-
161 - 2025-02-101169Americans-Bears-
164 - 2025-02-131184Checkers-Americans-
167 - 2025-02-161206Americans-Bears-
168 - 2025-02-171215Comets-Americans-
174 - 2025-02-231247Rocket-Americans-
178 - 2025-02-271274Crunch-Americans-
182 - 2025-03-031297Comets-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4015
Assistance14,66810,447
Assistance PCT66.67%94.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2283 - 76.11% 100,700$1,107,703$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,098,053$ 4,080,000$ 4,080,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,071,568$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,021,008$ 136 22,595$ 3,072,920$




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
1Anton Blidh1023739761910123011330911.97%16183718.02511164700013147.26%00.8358
2Matthew Peca104393776785512535910.86%34195718.8278154400084454.79%20.78310
3Ty Ronning983534691420797524814.11%18161616.4968143500023033.91%10.8501
4Yohann Auvitu92115465272448751139.73%93178319.383811560001200%00.7323
5Antti Suomela822041615508312919810.10%19143917.5549133900005252.97%00.8513

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
1Anton Khudobin55272340.8833.2929942416414000110.71428
2Olivier Roy52231820.8903.2628340215413990220.83318
3Matej Tomek83310.9053.2647940262740000.6005

Americans Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
15823335022732792727411720000221391390411615022511401337892794797583597918215253984582784761233367366414142344318.38%2915880.07%41460287750.75%1409271151.97%739142651.82%1959133619386131084543
16229901012848041172000115540151127010012940-11248414923301273124272624124723016743214160333631320.63%672168.66%040577552.26%43279654.27%21939655.30%526362519163290147
Total Saison régulière10442440328536335211522422000331941791552182203252169173-41133636289913612412210617326510861074107777307688782417472975618.86%3587977.93%41865365251.07%1841350752.50%958182252.58%2486169924577761374690
Séries éliminatoires
151710700000595728530000029263954000003031-12059105164002018183511192153162448415410832154814.81%43881.40%030058651.19%28053752.14%14528950.17%421293381123224113
Total Séries éliminatoires1710700000595728530000029263954000003031-12059105164002018183511192153162448415410832154814.81%43881.40%030058651.19%28053752.14%14528950.17%421293381123224113

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
1Cale Fleury17113145182819273.70%2937522.11134150000000%00.7500
2Austin Levi1711112-425489156.67%1031518.5302270000000%00.7600
3Noel Hoefenmayer173912761272412.50%1436521.49202120000000%00.6600
4Yohann Auvitu172911-12612229.09%2337021.77022100001000%00.5900
5Tanner Kero1756112415234211.90%229117.12112700001154.11%00.7600

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
1Anton Khudobin1710700.8723.63910205543100000
2Olivier Roy40000.9621.041150025300000