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Americans
GP: 72 | W: 34 | L: 31 | OTL: 7 | P: 75
GF: 246 | GA: 244 | PP%: 22.33% | PK%: 77.01%
DG: Cédric Racine | Morale : 43 | Moyenne d’équipe : 64
Prochains matchs #1120 vs Rocket
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Centre de jeu
Americans
34-31-7, 75pts
4
FINAL
3 Crunch
34-31-5, 73pts
Team Stats
OTL1SéquenceW1
20-9-5Fiche domicile21-11-3
14-22-2Fiche domicile13-20-2
5-4-1Derniers 10 matchs5-5-0
3.42Buts par match 3.10
3.39Buts contre par match 3.17
22.33%Pourcentage en avantage numérique17.60%
77.01%Pourcentage en désavantage numérique79.81%
Americans
34-31-7, 75pts
4
FINAL
5 PenguinsF
38-29-4, 80pts
Team Stats
OTL1SéquenceOTW2
20-9-5Fiche domicile19-14-2
14-22-2Fiche domicile19-15-2
5-4-1Derniers 10 matchs7-2-1
3.42Buts par match 3.37
3.39Buts contre par match 3.20
22.33%Pourcentage en avantage numérique22.58%
77.01%Pourcentage en désavantage numérique74.46%
Rocket
30-30-10, 70pts
2025-02-05
Americans
34-31-7, 75pts
Statistiques d’équipe
W2SéquenceOTL1
17-13-5Fiche domicile20-9-5
13-17-5Fiche visiteur14-22-2
5-5-010 derniers matchs5-4-1
3.20Buts par match 3.42
3.19Buts contre par match 3.42
25.84%Pourcentage en avantage numérique22.33%
78.04%Pourcentage en désavantage numérique77.01%
Americans
34-31-7, 75pts
2025-02-09
Moose
38-29-5, 81pts
Statistiques d’équipe
OTL1SéquenceW1
20-9-5Fiche domicile21-11-3
14-22-2Fiche visiteur17-18-2
5-4-110 derniers matchs7-3-0
3.42Buts par match 3.49
3.39Buts contre par match 3.49
22.33%Pourcentage en avantage numérique20.36%
77.01%Pourcentage en désavantage numérique77.17%
Crunch
34-31-5, 73pts
2025-02-10
Americans
34-31-7, 75pts
Statistiques d’équipe
W1SéquenceOTL1
21-11-3Fiche domicile20-9-5
13-20-2Fiche visiteur14-22-2
5-5-010 derniers matchs5-4-1
3.10Buts par match 3.42
3.17Buts contre par match 3.42
17.60%Pourcentage en avantage numérique22.33%
79.81%Pourcentage en désavantage numérique77.01%
Meneurs d'équipe
Buts
Sven Andrighetto
27
Passes
Anton Blidh
39
Points
Anton Blidh
58
Plus/Moins
Andrey Pedan
14
Victoires
Olivier Roy
20
Pourcentage d’arrêts
Matej Tomek
0.904

Statistiques d’équipe
Buts pour
246
3.42 GFG
Tirs pour
2238
31.08 Avg
Pourcentage en avantage numérique
22.3%
48 GF
Début de zone offensive
40.2%
Buts contre
244
3.39 GAA
Tirs contre
2242
31.14 Avg
Pourcentage en désavantage numérique
77.0%%
43 GA
Début de la zone défensive
39.7%
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
Assistance2,308
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 56
Espoirs11


Historique d'équipe

Saison actuelle34-31-7 (75PTS)
Historique76-66-11 (0.497%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10 - 7 (0.588%)
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
1Max JonesXX100.0077497675767789746968737467745266746702622,000,000$
2Anton BlidhXX100.0081457773717978726372717270635156576602911,500,000$
3Dominic ToninatoXX100.0071458772737479726975687166604853826603021,725,000$
4Dmitri JaskinXX100.0066408868706772706670737170676252486603112,000,000$
5Matthew PecaXX99.0059439870697472737670727770605150626603112,000,000$
6Dominic TurgeonX100.0068458672706875707570687660604958526502811,200,000$
7Tanner Kero (A)X100.0062459772697675697871656863665350616503212,500,000$
8Sven AndrighettoXX100.0058399568647380705974696979685952616503111,500,000$
9Scott WilsonX100.0064449771687086707369687366765046616503221,500,000$
10Nikolay Goldobin (A)XX100.0056409274687173666966706270795754566402921,100,000$
11Drake RymshaX100.007457787269737270696969746050476058640262750,000$
12Ty RonningXX100.0063458672667076695969727059575160526402721,100,000$
13Christian DjoosX100.0061449277677385744574687259755354456703012,000,000$
14Patrik NemethX100.0065459370777881714567657563745246466703211,800,000$
15Jon MerrillX100.0062459372737181714568677365785646616603321,700,000$
16Cale FleuryX100.007246927071727471456861745656486039650262900,000$
17Andrey PedanX100.0081688069777173714568687166534753526503121,500,000$
18Yohann AuvituX100.0058449570696871714570707270574838486403511,500,000$
Rayé
1Ondrej KaseXX100.0061459871707278706269686966635759186402911,200,000$
2William LockwoodXX100.008145787267687070666163775552496019630261900,000$
3Joonas KemppainenXX100.0063459569707381687066666963554730206203611,500,000$
4Stephane Da CostaX100.0064548471676563676368686666524738196203511,700,000$
5Jack SadekX100.006850767274646367456360695854516219620271900,000$
6Xavier Bernard (R)X100.007250707272707066456360705045457019610253750,000$
7Brendan DeJongX100.007342727073706756455854685647466020590261750,000$
MOYENNE D’ÉQUIPE99.96674687717071757060686771646251534664
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 Roy99.007776767678757979787779495347596303311,800,000$
2Matej Tomek97.00838369807870807070747749596078610271750,000$
Rayé
1Austin Lotz100.00787464777768746868726847555420580292500,000$
MOYENNE D’ÉQUIPE98.6779787078787178727274754856545261
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
1Anton BlidhAmericans (Buf)LW/RW70193958-661517569217651498.76%10134819.2631013291730001151040.59%10100000.8626010641
2Sven AndrighettoAmericans (Buf)LW/RW7227255206026581864713514.52%6128517.86661232174000004145.37%10800000.8113000441
3Scott WilsonAmericans (Buf)C72232952-1660351451763811313.07%12127917.774111530175000004052.56%166300000.8100000310
4Matthew PecaAmericans (Buf)LW/RW68222850-28022722075912510.63%19121217.8358133915410141424150.59%8500000.8205000326
5Max JonesAmericans (Buf)LW/RW6820274711500146741975616510.15%13123018.10134271290112563250.56%18000000.7622000412
6Andrey PedanAmericans (Buf)D6310324214109251154465266215.38%71126420.075101531144000048000%000000.6600104152
7Dmitri JaskinAmericans (Buf)LW/RW71182442-816058471604710711.25%7110615.58571227154000021044.44%7200000.7604000132
8Tanner KeroAmericans (Buf)C72192241-22033106155408412.26%10108815.125611251070001521054.06%134300000.7501000224
9David RundbladSabresD7063440916051438131397.41%75136119.44437451500000100000%000000.5900000122
10Yohann AuvituAmericans (Buf)D6763440-88044529231656.52%89135720.264111550159000195200%000000.5900000011
11Drake RymshaAmericans (Buf)C721322354791513113015243948.55%22112915.68022157600021303148.52%151900000.6200102032
12Jon MerrillAmericans (Buf)D6843034-132048565321387.55%94133719.670119310110128100%000000.5100000222
13Dominic ToninatoAmericans (Buf)LW/RW67151833014056671454910610.34%798714.741126541122163161.11%7200000.6700000522
14Christian DjoosAmericans (Buf)D5682533-1820059468224479.76%65119621.37691541146000064200%000000.5500000111
15Cale FleuryAmericans (Buf)D58626326240553451154111.76%68120820.841346520110121000%000000.5300000112
16John LudvigSabresD66524290475122725729418.77%90127519.3312313360001144200%000000.4500010202
17Matt MartinSabresLW/RW68121224244106935110298710.91%969110.16000000000200050.00%4800000.6906011021
18Ty RonningAmericans (Buf)LW/RW581212243753146100366812.00%1482614.240112120003921031.88%6900000.5800001223
19Dominic TurgeonAmericans (Buf)C51157229140528393296916.13%1166513.050002410161054054.88%85100000.6601000031
20Sam LaffertySabresLW/RW48121022-92406730111358010.81%880516.7705519830001321155.56%4500000.5513000211
21Sheldon DriesSabresLW/RW70101020-660293910235719.80%477311.0500017000033132.81%6400000.5201000001
22Nikolay GoldobinAmericans (Buf)LW/RW672141604025346922662.90%879211.830222290000300153.92%10200000.4000000001
23Noel HoefenmayerAmericans (Buf)D314610110036122451016.67%3553917.39000324000035000%000000.3700000101
24Patrik NemethAmericans (Buf)D13055-240191210460%2027521.2100002011034000%000000.3600000000
25Ondrej KaseAmericans (Buf)LW/RW125054001386862.50%0887.3700000000001030.00%1000001.1300000002
26William LockwoodAmericans (Buf)LW/RW150446201810196130%215810.56000000002340064.29%1400000.5000000000
27Stephane Da CostaAmericans (Buf)C2112344068125138.33%31828.6700000000000040.78%20600000.3300000000
28Xavier BernardAmericans (Buf)D40221401111120%67418.710000000007000%000000.5300000000
29Jack SadekAmericans (Buf)D1011-120001000%01616.220000100000000%000001.2300000000
Statistiques d’équipe totales ou en moyenne1539294524818-562365154014282736834190410.75%7782555916.6151101152454208835826151741951.08%655200000.64632238414243
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)44202030.8873.4225066414312690110.786144428212
2Matej TomekAmericans (Buf)32141140.9043.03184241939700020.714142844310
Statistiques d’équipe totales ou en moyenne76343170.8953.2643491052362239013287272522


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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)D311993-07-03LTUNo233 Lbs6 ft5NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Anton BlidhAmericans (Buf)LW/RW291995-03-14SWENo201 Lbs6 ft0NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Austin LotzAmericans (Buf)G291995-05-27CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Brendan DeJongAmericans (Buf)D261998-03-23CANNo200 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Cale FleuryAmericans (Buf)D261998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Christian DjoosAmericans (Buf)D301994-08-06SWENo169 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Dmitri JaskinAmericans (Buf)LW/RW311993-03-23RUSNo196 Lbs6 ft2NoNoN/ANoNo12023-12-30FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Dominic ToninatoAmericans (Buf)LW/RW301994-03-09USANo201 Lbs6 ft2NoNoTrade2025-02-01NoNo22024-07-10FalseFalsePro & Farm1,725,000$0$0$No1,725,000$--------1,725,000$--------No--------Lien
Dominic TurgeonAmericans (Buf)C281996-02-25CANNo199 Lbs6 ft2NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Drake RymshaAmericans (Buf)C261998-08-06USANo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Jack SadekAmericans (Buf)D271997-04-19USANo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Jon MerrillAmericans (Buf)D331992-02-03USANo204 Lbs6 ft3NoNoFree AgentNoNo22024-07-12FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Joonas KemppainenAmericans (Buf)LW/RW361988-04-07FINNo185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Matej TomekAmericans (Buf)G271997-05-24SVKNo182 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Matthew PecaAmericans (Buf)LW/RW311993-04-27CANNo181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Max JonesAmericans (Buf)LW/RW261998-02-17USANo216 Lbs6 ft3NoNoTrade2025-02-01NoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Nikolay GoldobinAmericans (Buf)LW/RW291995-10-07RUSNo196 Lbs5 ft11NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Olivier RoyAmericans (Buf)G331991-07-12CANNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Ondrej KaseAmericans (Buf)LW/RW291995-11-08CZENo187 Lbs6 ft0NoNoFree AgentNoNo12024-07-26FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Patrik NemethAmericans (Buf)D321992-02-08SWENo230 Lbs6 ft4NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Scott WilsonAmericans (Buf)C321992-04-24CANNo176 Lbs5 ft10NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Stephane Da CostaAmericans (Buf)C351989-07-11FRANo178 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Sven AndrighettoAmericans (Buf)LW/RW311993-03-21CHENo187 Lbs5 ft10NoNoTrade2024-06-25NoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Tanner KeroAmericans (Buf)C321992-07-24USANo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien
Ty RonningAmericans (Buf)LW/RW271997-10-20USANo172 Lbs5 ft9NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
William LockwoodAmericans (Buf)LW/RW261998-06-20USANo172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Xavier BernardAmericans (Buf)D252000-01-06CANYes205 Lbs6 ft3NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Yohann AuvituAmericans (Buf)D351989-07-27FRANo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2829.71194 Lbs6 ft11.431,393,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton BlidhScott WilsonSven Andrighetto32023
2Matthew PecaDrake RymshaMax Jones28023
3Dominic ToninatoTanner KeroDmitri Jaskin23032
4Ty RonningDominic TurgeonNikolay Goldobin17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosPatrik Nemeth36032
2Jon MerrillCale Fleury34032
3Yohann AuvituAndrey Pedan30032
4Andrey PedanYohann Auvitu0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton BlidhScott WilsonSven Andrighetto55023
2Matthew PecaTanner KeroMax Jones45023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian DjoosYohann Auvitu54032
2Andrey PedanCale Fleury46032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Drake RymshaMatthew Peca53032
2Dominic TurgeonMax Jones47032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillPatrik Nemeth52032
2Cale FleuryAndrey Pedan48032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Drake Rymsha52041Jon MerrillPatrik Nemeth50122
2Dominic Turgeon48041Cale FleuryAndrey Pedan50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Scott WilsonAnton Blidh50122
2Drake RymshaSven Andrighetto50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yohann AuvituChristian Djoos52122
2Andrey PedanCale Fleury48122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton BlidhScott WilsonSven AndrighettoChristian DjoosYohann Auvitu
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitri JaskinDrake RymshaMatthew PecaJon MerrillPatrik Nemeth
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Peca, Dmitri Jaskin, Drake RymshaTy Ronning, Nikolay GoldobinDominic Toninato
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Yohann Auvitu, Cale Fleury, Andrey PedanCale FleuryYohann Auvitu, Andrey Pedan
Tirs de pénalité
Sven Andrighetto, Dmitri Jaskin, Dominic Toninato, Max Jones, Tanner Kero
Gardien
#1 : Olivier Roy, #2 : Matej Tomek, #3 : 0


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
1Admirals1010000057-2000000000001010000057-200.00059141092817042674875172244451510123266.67%4175.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
2Barracuda11000000532110000005320000000000021.000591400928170437748751722442266123133.33%3166.67%01263250050.52%1277247251.66%653124952.28%169811661711537947472
3Bears2110000078-12110000078-10000000000020.50071421109281704557487517224460151639400.00%6350.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
4BruinsF413000001019-92110000099020200000110-920.250101828009281704126748751722441554338791317.69%13561.54%01263250050.52%1277247251.66%653124952.28%169811661711537947472
5Canucks11000000642000000000001100000064221.0006121800928170436748751722442610413300.00%20100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
6Checkers31200000611-51100000031220200000310-720.33361117009281704697487517224499382039600.00%90100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
7Comets31101000981000000000003110100098140.667917260092817048574875172244832414426116.67%7357.14%01263250050.52%1277247251.66%653124952.28%169811661711537947472
8Condors21000010817000000000002100001081741.00081422019281704757487517224458222633600.00%30100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
9Crunch21100000770000000000002110000077020.500713200092817045974875172244692012136116.67%6266.67%21263250050.52%1277247251.66%653124952.28%169811661711537947472
10Eagles1010000034-11010000034-10000000000000.000358009281704347487517224429106242150.00%3166.67%01263250050.52%1277247251.66%653124952.28%169811661711537947472
11Firebirds40400000919-102020000019-820200000810-200.000913220092817041337487517224412642186713323.08%9188.89%01263250050.52%1277247251.66%653124952.28%169811661711537947472
12Griffins21100000880211000008800000000000020.500814220092817046274875172244731310286233.33%30100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
13Gulls11000000725110000007250000000000021.00071421009281704257487517224429104205360.00%20100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
14Icehogs11000000413110000004130000000000021.000481200928170430748751722442254203133.33%20100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
15Iowa Wild11000000312110000003120000000000021.00036900928170432748751722442611610000%30100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
16Islanders412001001315-2210001008712020000058-330.375132639009281704121748751722441343240621218.33%10280.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
17Marlies43000001171072100000176122000000104670.8751730470192817041537487517224410326276618738.89%10370.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
18Monsters1010000025-31010000025-30000000000000.00024600928170427748751722443164611100.00%20100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
19Moose31100001111102100000110731010000014-330.5001121320092817048674875172244892118389333.33%90100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
20PenguinsF411001011315-22010000168-22100010077040.5001325380092817041477487517224415040266813323.08%13469.23%11263250050.52%1277247251.66%653124952.28%169811661711537947472
21Phantoms43100000161152200000011832110000053260.7501631470192817041397487517224411135377610220.00%14285.71%01263250050.52%1277247251.66%653124952.28%169811661711537947472
22Reign11000000514000000000001100000051421.000591400928170429748751722441244213133.33%10100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
23Roadrunners1010000015-4000000000001010000015-400.000123009281704317487517224428136343133.33%3233.33%01263250050.52%1277247251.66%653124952.28%169811661711537947472
24Rocket21100000880000000000002110000088020.50081321009281704537487517224462281035300.00%4175.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
25SenatorsF41300000915-62110000046-22020000059-420.250915240092817041087487517224412737256817317.65%8450.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
26Silver Knights1000000134-11000000134-10000000000010.50035800928170425748751722443914415200.00%20100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
27StarsF1010000034-1000000000001010000034-100.00035800928170428748751722443516171422100.00%6266.67%01263250050.52%1277247251.66%653124952.28%169811661711537947472
28Thunderbirds11000000532110000005320000000000021.000591400928170435748751722441984145240.00%10100.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
29Wolf Pack5310001025141132000010188102110000076180.8002545700092817041547487517224415548297214321.43%12283.33%01263250050.52%1277247251.66%653124952.28%169811661711537947472
30Wolves431000001358220000006152110000074360.750132437129281704128748751722447825356515213.33%7185.71%01263250050.52%1277247251.66%653124952.28%169811661711537947472
31Wranglers30200001515-100000000000030200001515-1010.167571200928170490748751722441472622499111.11%10370.00%01263250050.52%1277247251.66%653124952.28%169811661711537947472
Total72313101225246244234199001141301092138122201111116135-19750.521246448694359281704223874875172244224266350211542154822.33%1874377.01%31263250050.52%1277247251.66%653124952.28%169811661711537947472
_Since Last GM Reset72313101225246244234199001141301092138122201111116135-19750.521246448694359281704223874875172244224266350211542154822.33%1874377.01%31263250050.52%1277247251.66%653124952.28%169811661711537947472
_Vs Conference52222301213173176-3241360011390781228917011008398-15530.51017331648924928170416167487517224416014743658291593018.87%1373375.91%31263250050.52%1277247251.66%653124952.28%169811661711537947472
_Vs Division27670000198811714320000158451313350000040364130.2419818628423928170485674875172244802225201430751317.33%711776.06%11263250050.52%1277247251.66%653124952.28%169811661711537947472

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7275OTL124644869422382242663502115435
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7231311225246244
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
341990114130109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3812221111116135
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2154822.33%1874377.01%3
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
748751722449281704
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
1263250050.52%1277247251.66%653124952.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
169811661711537947472


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 - 2024-09-052Americans0Wranglers4LSommaire du match
4 - 2024-09-0826Wolf Pack1Americans7WSommaire du match
6 - 2024-09-1039Checkers1Americans3WSommaire du match
8 - 2024-09-1255Americans2Phantoms3LSommaire du match
11 - 2024-09-1573Americans3Comets2WXSommaire du match
13 - 2024-09-1790Wolf Pack4Americans7WSommaire du match
15 - 2024-09-19109Phantoms5Americans7WSommaire du match
17 - 2024-09-21126Marlies6Americans5LXXSommaire du match
19 - 2024-09-23138Americans3Comets4LSommaire du match
20 - 2024-09-24146Americans2Rocket3LSommaire du match
23 - 2024-09-27169PenguinsF4Americans3LSommaire du match
26 - 2024-09-30186Americans6Condors0WSommaire du match
28 - 2024-10-02203Americans0BruinsF7LSommaire du match
29 - 2024-10-03216BruinsF4Americans5WSommaire du match
32 - 2024-10-06234Griffins6Americans4LSommaire du match
36 - 2024-10-10255Americans1Moose4LSommaire du match
38 - 2024-10-12267Wolf Pack3Americans4WXXSommaire du match
40 - 2024-10-14284Americans4Wranglers5LXXSommaire du match
42 - 2024-10-16298Americans3SenatorsF6LSommaire du match
44 - 2024-10-18310Barracuda3Americans5WSommaire du match
46 - 2024-10-20330Thunderbirds3Americans5WSommaire du match
48 - 2024-10-22345Americans5Marlies2WSommaire du match
50 - 2024-10-24362Gulls2Americans7WSommaire du match
52 - 2024-10-26373Americans1Islanders3LSommaire du match
54 - 2024-10-28388Americans1Wranglers6LSommaire du match
56 - 2024-10-30401Americans3Checkers5LSommaire du match
58 - 2024-11-01411Silver Knights4Americans3LXXSommaire du match
60 - 2024-11-03426Americans5Reign1WSommaire du match
62 - 2024-11-05441Phantoms3Americans4WSommaire du match
65 - 2024-11-08461Americans6Canucks4WSommaire du match
67 - 2024-11-10471Americans2Condors1WXXSommaire du match
68 - 2024-11-11480SenatorsF2Americans3WSommaire du match
71 - 2024-11-14504Americans2SenatorsF3LSommaire du match
72 - 2024-11-15511Wolves0Americans2WSommaire du match
75 - 2024-11-18534Eagles4Americans3LSommaire du match
77 - 2024-11-20545Americans2Wolves4LSommaire du match
79 - 2024-11-22559Americans3Phantoms0WSommaire du match
80 - 2024-11-23572Monsters5Americans2LSommaire du match
83 - 2024-11-26595Americans3Comets2WSommaire du match
85 - 2024-11-28606PenguinsF4Americans3LXXSommaire du match
87 - 2024-11-30624Americans3StarsF4LSommaire du match
88 - 2024-12-01636Griffins2Americans4WSommaire du match
90 - 2024-12-03650Americans1BruinsF3LSommaire du match
93 - 2024-12-06666Americans1Wolf Pack2LSommaire du match
94 - 2024-12-07674BruinsF5Americans4LSommaire du match
97 - 2024-12-10695Americans5Marlies2WSommaire du match
98 - 2024-12-11703SenatorsF4Americans1LSommaire du match
101 - 2024-12-14726Americans3Firebirds4LSommaire du match
102 - 2024-12-15735Wolves1Americans4WSommaire du match
106 - 2024-12-19760Americans0Checkers5LSommaire du match
107 - 2024-12-20767Islanders5Americans4LXSommaire du match
111 - 2024-12-24795Islanders2Americans4WSommaire du match
113 - 2024-12-26814Americans5Firebirds6LSommaire du match
115 - 2024-12-28823Americans3Crunch4LSommaire du match
116 - 2024-12-29832Iowa Wild1Americans3WSommaire du match
119 - 2025-01-01859Moose3Americans7WSommaire du match
121 - 2025-01-03875Americans1Roadrunners5LSommaire du match
124 - 2025-01-06890Moose4Americans3LXXSommaire du match
126 - 2025-01-08911Americans3PenguinsF2WSommaire du match
127 - 2025-01-09920Marlies0Americans2WSommaire du match
130 - 2025-01-12942Americans6Wolf Pack4WSommaire du match
132 - 2025-01-14953Americans5Admirals7LSommaire du match
133 - 2025-01-15961Firebirds5Americans1LSommaire du match
137 - 2025-01-19989Firebirds4Americans0LSommaire du match
139 - 2025-01-211010Americans6Rocket5WSommaire du match
140 - 2025-01-221019Bears3Americans4WSommaire du match
144 - 2025-01-261046Bears5Americans3LSommaire du match
146 - 2025-01-281061Americans5Wolves0WSommaire du match
148 - 2025-01-301077Americans4Islanders5LSommaire du match
149 - 2025-01-311086Icehogs1Americans4WSommaire du match
151 - 2025-02-021100Americans4Crunch3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2025-02-041111Americans4PenguinsF5LXSommaire du match
154 - 2025-02-051120Rocket-Americans-
158 - 2025-02-091146Americans-Moose-
159 - 2025-02-101151Crunch-Americans-
161 - 2025-02-121169Americans-Bears-
164 - 2025-02-151184Checkers-Americans-
167 - 2025-02-181206Americans-Bears-
168 - 2025-02-191215Comets-Americans-
174 - 2025-02-251247Rocket-Americans-
178 - 2025-03-011274Crunch-Americans-
182 - 2025-03-051297Comets-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4015
Assistance45,88132,604
Assistance PCT67.47%95.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 2308 - 76.95% 101,859$3,463,207$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,371,781$ 5,597,500$ 5,597,500$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,289,053$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
713,013$ 32 30,797$ 985,504$




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 Blidh1504967116713334816346310.58%22276918.47817257000024143.93%00.84611
2Matthew Peca150546011410166816649610.89%49275618.3810152570101118553.73%20.83314
3Tanner Kero1443653896189423634510.43%15241116.75912215900014053.53%00.7401
4Yohann Auvitu1371573881030771051728.72%148269119.6471724890001300%00.6523
5Ty Ronning13440397942710110731012.90%26218116.2869153700033033.54%10.7201

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
1Olivier Roy81353240.8893.2844876524521990230.82128
2Anton Khudobin55272340.8833.2929942416414000110.71428
3Matej Tomek32141140.9043.03184241939700020.71414

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
1672313101225246244234199001141301092138122201111116135-1975246448694359281704223874875172244224266350211542154822.33%1874377.01%31263250050.52%1277247251.66%653124952.28%169811661711537947472
Total Saison régulière1546466034985255169753629001362692482179283703362256268-12164525927145261018917215219477715931578156910545751336116625684499120.27%47810178.87%72723537750.64%2686518351.82%1392267552.04%365825033650115020311015
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