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Connexion

Americans
GP: 10 | W: 5 | L: 5
GF: 27 | GA: 28 | PP%: 34.78% | PK%: 83.33%
DG: Jurgen Aagaard | Morale : 73 | Moyenne d’équipe : 58

Centre de jeu
Stars
9-2-0, 18pts
5
4 Americans
5-5-0, 10pts
Team Stats
W5SéquenceL4
4-2-0Fiche domicile2-3-0
5-0-0Fiche domicile3-2-0
9-1-0Derniers 10 matchs5-5-0
5.00Buts par match 2.70
3.55Buts contre par match 2.80
28.95%Pourcentage en avantage numérique34.78%
75.00%Pourcentage en désavantage numérique83.33%
Americans
5-5-0, 10pts
3
5 Stars
9-2-0, 18pts
Team Stats
L4SéquenceW5
2-3-0Fiche domicile4-2-0
3-2-0Fiche domicile5-0-0
5-5-0Derniers 10 matchs9-1-0
2.70Buts par match 5.00
2.80Buts contre par match 3.55
34.78%Pourcentage en avantage numérique28.95%
83.33%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Jacob Gaucher
7
Passes
Angus Crookshank
7
Points
Jacob Gaucher
12
Plus/Moins
Victor Mancini
4
Victoires
Callum Tung
5
Pourcentage d’arrêts
Callum Tung
0.899

Statistiques d’équipe
Buts pour
27
2.70 GFG
Tirs pour
236
23.60 Avg
Pourcentage en avantage numérique
34.8%
8 GF
Début de zone offensive
29.6%
Buts contre
28
2.80 GAA
Tirs contre
269
26.90 Avg
Pourcentage en désavantage numérique
83.3%%
4 GA
Début de la zone défensive
43.0%
Informations de l'équipe

Directeur généralJurgen Aagaard
EntraîneurJay Woodcroft
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,931
Billets de saison1,500


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 100
Espoirs64


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
1Angus Crookshank (R)X100.007165837465818668506271616248486285650261838,333$
2Jacob Gaucher (R)X100.0076717974728390637458646257474760816402512,999,000$
3Noah Ostlund (R)X100.0072648971666869668060696164474763806302231,337,000$
4Axel Jonsson-FjallbyXX100.0078728966727580597057586253474858796102811,000,000$
5Konsta Helenius (R)X100.0074678868695554617559606155474758795902031,289,000$
6Coulson Pitre (R)X100.0076699067727076515052475944474752805702131,277,000$
7Jon-Randall AvonX100.0073649567677176496446495848474754805602312,999,000$
8Graham SlaggertX100.0074707965705555546948565954474755725602712,999,000$
9Aleksandr KisakovX100.0068628064644239555044635759474755805402311,000,000$
10Matthew Wood (R)X100.0084799982814850435038436342474751795402131,269,000$
11Jagger JoshuaX100.0070794062794241495049455543474747805202712,999,000$
12Anthony CallinXXX100.0077709980703230425536425942474649805102711,000,000$
13Victor Mancini (R)X100.0078459076866771632559537125494958806602431,538,000$
14Maxence GuenetteX100.0081788267807075562545526448474756806202531,290,000$
15Marshall RifaiX100.0075756664767279492539445839474748815902812,999,000$
16Filip Kral (R)X100.0074698666695353542548456043474652425702631,349,000$
17Axel Landen (R)X100.0079729982744951422529416037474747725702131,278,000$
18Chris HarpurX100.0080769561763735482540396237464649785402911,000,000$
19Cam McDonald (R)X100.0066618661623837422530385337474644794902511,000,000$
Rayé
MOYENNE D’ÉQUIPE100.00756985697258605348475260474747547758
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
1Callum Tung (R)100.004640508047925053948145474657816202211,000,000$
2Drew Commesso (R)100.00595366706164566363623045455882590232925,000$
Rayé
1Gabriel Carriere100.004740507349515053535230444450365102511,000,000$
MOYENNE D’ÉQUIPE100.0051445574526952567065354545556657
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Woodcroft80808080808080CAN3911,000,000$


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
1Jacob GaucherAmericans (BUF)C107512-280291442102016.67%624324.332244180000182041.67%1297000.9900000300
2Angus CrookshankAmericans (BUF)LW103710-415513163613168.33%923323.33112417000281145.71%3573000.8600100000
3Victor ManciniAmericans (BUF)D1027946013181512413.33%1725225.28123221000017010%0614000.7100000001
4Konsta HeleniusAmericans (BUF)C10336-4201813175717.65%119019.05134414000000057.14%722000.6300000010
5Axel Jonsson-FjallbyAmericans (BUF)C/LW10066-6001622166130%120920.920222180000100051.13%13330000.5700000000
6Coulson PitreAmericans (BUF)RW10426-1001415183922.22%521621.69123215000000048.59%17730000.5500000010
7Maxence GuenetteAmericans (BUF)D10145-820142918155.56%1627127.19000113000020010%0812000.3700000000
8Marshall RifaiAmericans (BUF)D10044-5155242112440%1326426.46022012000013000%013000.3000001001
9Jagger JoshuaAmericans (BUF)LW10134160181551320.00%216316.360000140000180058.14%4302000.4900000001
10Noah OstlundAmericans (BUF)C10213-32017171971510.53%119119.1200001000080054.55%1141000.3100000010
11Chris HarpurAmericans (BUF)D10123-25541261316.67%312812.85123220000015100%002000.4700001002
12Jon-Randall AvonAmericans (BUF)C10112100161292311.11%313513.6000000000090056.60%5301000.2900000001
13Aleksandr KisakovAmericans (BUF)LW101122201814105210.00%713413.4300001000000033.33%604000.3000000000
14Axel LandenAmericans (BUF)D10022300111611720%519319.350000000001000%013000.2100000000
15Matthew WoodAmericans (BUF)RW10101-10043120100.00%0454.571011100000100%000000.4400000010
16Filip KralAmericans (BUF)D10000000251000%1909.050000100006000%00000000000000
17Graham SlaggertAmericans (BUF)C10000000000000%090.9000000000000050.00%20000000000000
18Cam McDonaldAmericans (BUF)D10000000010000%0141.490000000001000%00000000000000
19Anthony CallinAmericans (BUF)C/LW/RW10000000000000%090.900000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne190274875-2563152312432367910611.44%90299815.78816242217200021545350.73%4794454000.5000102346
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
1Callum TungAmericans (BUF)105500.8992.6760602272681152100100111
Statistiques d’équipe totales ou en moyenne105500.8992.676060227268115210100111


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 Salaire restantPlafond 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
Aleksandr KisakovAmericans (BUF)LW232002-11-01RUSNo170 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$285,714$0$0$No---------------------------Lien
Angus CrookshankAmericans (BUF)LW261999-10-02CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm838,333$239,524$0$0$No---------------------------Lien
Anthony CallinAmericans (BUF)C/LW/RW271998-12-23USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$285,714$0$0$No---------------------------Lien
Axel Jonsson-FjallbyAmericans (BUF)C/LW281998-02-10SWENo198 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$285,714$0$0$No---------------------------Lien
Axel LandenAmericans (BUF)D212005-03-29SWEYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$365,143$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Callum TungAmericans (BUF)G222003-11-23CZEYes198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$285,714$0$0$No---------872,500$872,500$----------------Lien
Cam McDonaldAmericans (BUF)D252001-02-03USAYes174 Lbs5 ft9NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$285,714$0$0$No---------------------------Lien
Chris HarpurAmericans (BUF)D291996-09-13ONTNo201 Lbs6 ft3NoNoAssign ManuallyNoNo12026-03-09FalseFalsePro & Farm1,000,000$285,714$0$0$No---------------------------Lien
Coulson PitreAmericans (BUF)RW212004-12-13CANYes185 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$364,857$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Drew CommessoAmericans (BUF)G232002-07-19USAYes180 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$264,286$0$0$No925,000$--------925,000$--------No--------Lien
Filip KralAmericans (BUF)D261999-10-08CZEYes172 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,349,000$385,429$0$0$No1,349,000$1,349,000$-------1,349,000$1,349,000$-------NoNo-------Lien
Gabriel CarriereAmericans (BUF)G252000-11-06CANNo185 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$285,714$0$0$No---------------------------Lien
Graham SlaggertAmericans (BUF)C271999-04-06USANo195 Lbs5 ft11NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$856,857$0$0$No---------------------------Lien
Jacob GaucherAmericans (BUF)C252001-03-09CANYes185 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$856,857$0$0$No---------------------------Lien
Jagger JoshuaAmericans (BUF)LW271999-03-29USANo210 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$856,857$0$0$No---------------------------Lien
Jon-Randall AvonAmericans (BUF)C232003-07-04CANNo174 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$856,857$0$0$No---------------------------Lien
Konsta HeleniusAmericans (BUF)C202006-05-11FINYes189 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,289,000$368,286$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Marshall RifaiAmericans (BUF)D281998-03-16CANNo200 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$856,857$0$0$No---------------------------Lien
Matthew WoodAmericans (BUF)RW212005-02-06CANYes205 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,269,000$362,571$0$0$No1,269,000$1,269,000$-------1,269,000$1,269,000$-------NoNo-------Lien
Maxence GuenetteAmericans (BUF)D252001-04-28CANNo210 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,290,000$368,571$0$0$No1,290,000$1,290,000$-------1,290,000$1,290,000$-------NoNo-------Lien
Noah OstlundAmericans (BUF)C222004-03-11SWEYes175 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,337,000$382,000$0$0$No1,337,000$1,337,000$-------1,337,000$1,337,000$-------NoNo-------Lien
Victor ManciniAmericans (BUF)D242002-05-26USAYes229 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,538,000$439,429$0$0$No1,538,000$1,538,000$-------1,538,000$1,538,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.45191 Lbs6 ft11.771,562,970$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherCoulson PitreAngus Crookshank40122
2Konsta HeleniusAxel Jonsson-FjallbyNoah Ostlund30122
3Jacob GaucherJon-Randall AvonCoulson Pitre20122
4Aleksandr KisakovAngus CrookshankJagger Joshua10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Axel LandenVictor Mancini40122
2Maxence GuenetteMarshall Rifai30122
3Marshall RifaiMaxence Guenette20122
4Maxence GuenetteMarshall Rifai10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherAxel Jonsson-FjallbyAngus Crookshank60122
2Konsta HeleniusJagger JoshuaCoulson Pitre40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris HarpurVictor Mancini60122
2Marshall RifaiMaxence Guenette40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jagger JoshuaJacob Gaucher60122
2Axel Jonsson-FjallbyJon-Randall Avon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniMaxence Guenette60122
2Chris HarpurMarshall Rifai40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jacob Gaucher60122Maxence GuenetteMarshall Rifai60122
2Axel Jonsson-Fjallby40122Cam McDonaldAxel Landen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Konsta HeleniusJagger Joshua60122
2Jacob GaucherAxel Jonsson-Fjallby40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris HarpurMaxence Guenette60122
2Victor ManciniMarshall Rifai40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAxel Jonsson-FjallbyAngus CrookshankMarshall RifaiMaxence Guenette
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAxel Jonsson-FjallbyAngus CrookshankMarshall RifaiMaxence Guenette
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksandr Kisakov, Jacob Gaucher, Jagger JoshuaJacob Gaucher, Konsta HeleniusJacob Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marshall Rifai, Chris Harpur, Maxence GuenetteMaxence GuenetteMaxence Guenette, Marshall Rifai
Tirs de pénalité
Coulson Pitre, Jagger Joshua, Jacob Gaucher, Axel Jonsson-Fjallby, Konsta Helenius
Gardien
#1 : Callum Tung, #2 : Drew Commesso


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
1Heat541000001183321000006512200000053280.80011223312311112855380100385383711913646.15%11190.91%07014249.30%10620651.46%6713151.15%17168209109227112
2Stars514000001620-42020000068-2312000001012-220.2001626420031111215153801003184522611210220.00%13376.92%07014249.30%10620651.46%6713151.15%17168209109227112
Total1055000002728-1523000001213-15320000015150100.5002748751231111223653801003269906323123834.78%24483.33%07014249.30%10620651.46%6713151.15%17168209109227112
_Since Last GM Reset1055000002728-1523000001213-15320000015150100.5002748751231111223653801003269906323123834.78%24483.33%07014249.30%10620651.46%6713151.15%17168209109227112
_Vs Conference1055000002728-1523000001213-15320000015150100.5002748751231111223653801003269906323123834.78%24483.33%07014249.30%10620651.46%6713151.15%17168209109227112

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L4274875236269906323112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105500002728
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001213
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001515
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23834.78%24483.33%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
53801003311112
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
7014249.30%10620651.46%6713151.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
17168209109227112


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
26Heat3Americans1LSommaire du match
414Heat0Americans1WXSommaire du match
622Americans4Heat3WSommaire du match
830Americans1Heat0WXSommaire du match
1038Heat2Americans4WSommaire du match
1659Americans4Stars2WSommaire du match
1863Americans3Stars5LSommaire du match
2067Stars3Americans2LSommaire du match
2271Stars5Americans4LSommaire du match
2475Americans3Stars5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2615
Assistance10,0004,657
Assistance PCT100.00%93.14%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2931 - 97.71% 98,297$491,483$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,438,533$ 3,438,533$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 12 0$ 0$




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