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Connexion

Americans
GP: 86 | W: 50 | L: 26 | OTL: 10 | P: 110
GF: 266 | GA: 234 | PP%: 29.96% | PK%: 70.31%
DG: Jurgen Aagaard | Morale : 63 | Moyenne d’équipe : 58

Centre de jeu
Checkers
35-37-14, 84pts
3
4 Americans
50-26-10, 110pts
Team Stats
W1SéquenceW2
21-15-7Fiche domicile27-9-7
14-22-7Fiche domicile23-17-3
3-6-1Derniers 10 matchs7-2-1
2.17Buts par match 3.09
2.55Buts contre par match 2.72
26.19%Pourcentage en avantage numérique29.96%
69.95%Pourcentage en désavantage numérique70.31%
Americans
50-26-10, 110pts
2
0 Admirals
39-35-12, 90pts
Team Stats
W2SéquenceL3
27-9-7Fiche domicile20-20-3
23-17-3Fiche domicile19-15-9
7-2-1Derniers 10 matchs4-5-1
3.09Buts par match 2.21
2.72Buts contre par match 2.70
29.96%Pourcentage en avantage numérique25.88%
70.31%Pourcentage en désavantage numérique68.66%
Meneurs d'équipe
Buts
Angus Crookshank
48
Passes
Axel Jonsson-Fjallby
54
Points
Angus Crookshank
93
Plus/Moins
Graham Slaggert
14
Victoires
Callum Tung
35
Pourcentage d’arrêts
Callum Tung
0.872

Statistiques d’équipe
Buts pour
266
3.09 GFG
Tirs pour
2050
23.84 Avg
Pourcentage en avantage numérique
30.0%
71 GF
Début de zone offensive
36.7%
Buts contre
234
2.72 GAA
Tirs contre
1803
20.97 Avg
Pourcentage en désavantage numérique
70.3%%
68 GA
Début de la zone défensive
37.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,697
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)X100.007165837465818668506271626248486384650261838,333$
2Jacob Gaucher (R)X100.0075717974728390627458636257474660816402512,999,000$
3Noah Ostlund (R)X100.0072648971666869668061696164464663836302231,337,000$
4Axel Jonsson-FjallbyXX100.0078728966727580597057596353474758816102811,000,000$
5Konsta Helenius (R)X100.0074678868695554617559606155474658815902031,289,000$
6Coulson Pitre (R)X100.0076699066717076505052465944474652825702131,277,000$
7Jon-Randall AvonX100.0073649466667176496446495848474654825602212,999,000$
8Matthew Wood (R)X100.0084799982814850435038436342464651795502131,269,000$
9Aleksandr KisakovX100.0067628064644239555044635659474655815402311,000,000$
10Jagger JoshuaX100.0070794062794241495049455543474647815202712,999,000$
11Anthony CallinXXX100.0077709980703230425536426042464650815102711,000,000$
12Victor Mancini (R)X100.0078459075856771622558527025494958816502431,538,000$
13Maxence GuenetteX100.0080788267807075552544516448474656836202531,290,000$
14Marshall RifaiX100.0074756663757279492539445939474648845902812,999,000$
15Filip Kral (R)X100.0074698666695353542549456143464653405702631,349,000$
16Axel Landen (R)X100.0080729982744951422529416037474647805702131,278,000$
17Chris HarpurX100.0080769561763735482540386337454549775402911,000,000$
18Cam McDonald (R)X100.0066618661623837422530385337464645804902511,000,000$
Rayé
1Graham SlaggertX100.0074707965705555546948566054474655695602712,999,000$
MOYENNE D’ÉQUIPE100.00756985697258605348475161474746547858
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
1Drew Commesso (R)100.00595366706164566363623045455883590232925,000$
2Gabriel Carriere100.004740507349515053535230444450315102511,000,000$
Rayé
1Callum Tung (R)100.004640508047914952938145464658756202211,000,000$
MOYENNE D’ÉQUIPE100.0051445574526952567065354545556357
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
1Angus CrookshankAmericans (BUF)LW80484593676401471212908219316.55%42166420.811819375215411241045545.32%8016733031.122212512112
2Jacob GaucherAmericans (BUF)C86335184-3156701641182699617212.27%42187621.821316294918311291557255.56%1175527100.90410329673
3Axel Jonsson-FjallbyAmericans (BUF)C/LW862954831330201651392036213214.29%23166919.4292433341670008775152.05%9285819000.9923121914
4Noah OstlundAmericans (BUF)C77302959-278408476160457818.75%17110814.40681425901015945452.03%1482015011.0612125524
5Konsta HeleniusAmericans (BUF)C86233558113620142115167469713.77%21153417.8451015251450000111153.25%774820000.7623022138
6Victor ManciniAmericans (BUF)D6993645121001249414557526.21%77179225.984913261610116141210%04850000.5000000145
7Coulson PitreAmericans (BUF)RW86132740-5483013511088285914.77%27156918.25471115144000002145.53%10302125010.5118222116
8Aleksandr KisakovAmericans (BUF)LW8621153613542011869133438615.79%15119713.9201106011056146.77%621713000.6000211543
9Spencer StastneySabresD4372532210044799138347.69%3989020.713691361112158200%02031000.7200000222
10Marshall RifaiAmericans (BUF)D86720273149551731398435378.33%78209724.39224101361011113110%02456100.2600227002
11Maxence GuenetteAmericans (BUF)D8632427-51409012714410633462.83%86209124.3204471330111153000%04454000.26004410011
12Jagger JoshuaAmericans (BUF)LW86111324107152477763273217.46%18136015.822791111000021131244.79%2881517000.3519001131
13Graham SlaggertAmericans (BUF)C81715221468301667351183313.73%14127615.7500001000013067.65%3489000.3400114033
14Axel LandenAmericans (BUF)D8051419143420726546212310.87%46127615.964599106011069000%0821000.3000211020
15Matthew WoodAmericans (BUF)RW78312151215155445409277.50%57639.78000213000000044.71%17099000.3900210010
16Jon-Randall AvonAmericans (BUF)C867613040946944142215.91%17104912.20000090113843052.59%367813000.2500000011
17Filip KralAmericans (BUF)D7221012531571775723143.51%39123517.16112640000162000%01628000.1900001101
18Logan StankovenSabresC/RW8224300913841025.00%111714.6500001000001152.17%2341000.6800000000
19Chris HarpurAmericans (BUF)D4703315516204360%1056011.92033145000142000%018000.1100100000
20Anthony CallinAmericans (BUF)C/LW/RW86011100741120%1931.09000010000000100.00%200000.2100000000
21Cam McDonaldAmericans (BUF)D760002401570110%03684.8500002000010000%00200000000000
Statistiques d’équipe totales ou en moyenne15712604376971261009465217416542050686115612.68%6182559416.297112219328517165813421301442048.48%4047491451250.541337222249444646
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)71352480.8722.674002241781394624510.773226810311
2Drew CommessoAmericans (BUF)158110.8642.906630132236114000.69213868100
3Tristan JarrySabres106110.8802.315200120167921000100000
4Gabriel CarriereAmericans (BUF)11001.00001900054000008000
Statistiques d’équipe totales ou en moyenne975026100.8722.65520626230180283461358686411


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$0$0$No---------------------------Lien
Angus CrookshankAmericans (BUF)LW261999-10-02CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm838,333$0$0$No---------------------------Lien
Anthony CallinAmericans (BUF)C/LW/RW271998-12-23USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Axel Jonsson-FjallbyAmericans (BUF)C/LW281998-02-10SWENo198 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Axel LandenAmericans (BUF)D212005-03-29SWEYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$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$0$0$No---------872,500$872,500$----------------Lien
Cam McDonaldAmericans (BUF)D252001-02-03USAYes174 Lbs5 ft9NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Chris HarpurAmericans (BUF)D291996-09-13ONTNo201 Lbs6 ft3NoNoAssign ManuallyNoNo12026-03-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Coulson PitreAmericans (BUF)RW212004-12-13CANYes185 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$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$0$0$No925,000$--------925,000$--------No--------Lien
Filip KralAmericans (BUF)D261999-10-08CZEYes172 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,349,000$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$0$0$No---------------------------Lien
Graham SlaggertAmericans (BUF)C271999-04-06USANo195 Lbs5 ft11NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Jacob GaucherAmericans (BUF)C252001-03-09CANYes185 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Jagger JoshuaAmericans (BUF)LW271999-03-29USANo210 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Jon-Randall AvonAmericans (BUF)C222003-07-04CANNo174 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Konsta HeleniusAmericans (BUF)C202006-05-11FINYes189 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,289,000$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$0$0$No---------------------------Lien
Matthew WoodAmericans (BUF)RW212005-02-06CANYes205 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,269,000$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$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$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$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
2224.41191 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 : Drew Commesso, #2 : Gabriel Carriere


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
1Admirals540000101771033000000136721000010413101.0001728450146109100181064878467054893219715311327.27%11190.91%0761147151.73%727150048.47%474103745.71%155364316009552056981
2Barracuda2110000045-1110000002111010000024-220.5004590046109100184748784670548471834444125.00%7185.71%0761147151.73%727150048.47%474103745.71%155364316009552056981
3Bears2020000008-81010000004-41010000004-400.000000004610910018404878467054841141534000%5260.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
4Bruins2020000014-31010000012-11010000002-200.000123004610910018404878467054830181054200.00%5260.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
5Canucks21100000431110000004221010000001-120.50046100046109100182848784670548311710463133.33%5180.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
6Checkers502011101517-22000110077030200010810-250.50015264100461091001811548784670548109275111310110.00%13376.92%2761147151.73%727150048.47%474103745.71%155364316009552056981
7Comets411000021214-21000000134-131100001910-140.5001223350046109100181044878467054882234510312758.33%10550.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
8Condors200001107701000010045-11000001032130.7507101700461091001865487846705486814125410440.00%10100.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
9Crunch21000010862110000002111000001065141.00081119004610910018574878467054828841595240.00%3233.33%0761147151.73%727150048.47%474103745.71%155364316009552056981
10Eagles64101000241311321000001293320010001248100.83324386200461091001812548784670548115429015419421.05%15566.67%0761147151.73%727150048.47%474103745.71%155364316009552056981
11Griffins2110000068-2110000004311010000025-320.500610160046109100185648784670548518225112325.00%6350.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
12Gulls21001000523100010003211100000020241.0005914014610910018484878467054831816287228.57%30100.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
13Heat5210110016142320001009722010100077070.70016264200461091001811848784670548123449112920420.00%18666.67%0761147151.73%727150048.47%474103745.71%155364316009552056981
14IceHogs22000000523110000003121100000021141.00051015004610910018464878467054829145506350.00%000%0761147151.73%727150048.47%474103745.71%155364316009552056981
15Islanders21100000770110000005321010000024-220.500713200046109100186348784670548641814557457.14%70100.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
16Marlies22000000752110000005411100000021141.000712190046109100185648784670548391317487342.86%6266.67%0761147151.73%727150048.47%474103745.71%155364316009552056981
17Monsters321000001376211000004221100000095440.6671320330146109100187348784670548501853875120.00%9455.56%1761147151.73%727150048.47%474103745.71%155364316009552056981
18Moose5310010016883200010011562110000053270.700162642024610910018121487846705484719391289222.22%8275.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
19Penguins540001001459330000009362100010052390.9001423370046109100181254878467054889375013310440.00%15380.00%1761147151.73%727150048.47%474103745.71%155364316009552056981
20Phantoms21001000413110000002021000100021141.00047110146109100184248784670548291717464250.00%60100.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
21Reign210001008711000010034-11100000053230.750815230046109100184448784670548381465213323.08%330.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
22Roadrunners20200000414-101010000037-41010000017-600.000471100461091001862487846705487131625010330.00%6350.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
23Rocket210000101394110000005231000001087141.0001321340046109100186348784670548521119545120.00%220.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
24Senators21100000862110000004131010000045-120.500811190046109100183648784670548551922528225.00%6350.00%0761147151.73%727150048.47%474103745.71%155364316009552056981
25Silver Knights210000018441000000112-11100000072530.750813210046109100185548784670548388374510330.00%6183.33%1761147151.73%727150048.47%474103745.71%155364316009552056981
26Stars5220010013130211000007613110010067-150.5001321340046109100181084878467054810239161259333.33%8187.50%0761147151.73%727150048.47%474103745.71%155364316009552056981
27Thunderbirds31200000813-51010000014-32110000079-220.3338152300461091001875487846705481124155647114.29%15566.67%0761147151.73%727150048.47%474103745.71%155364316009552056981
28Wild21100000880110000004221010000046-220.50081321004610910018444878467054869291854100.00%9188.89%0761147151.73%727150048.47%474103745.71%155364316009552056981
29Wolf Pack2020000038-51010000025-31010000013-200.0003580046109100184048784670548401323555120.00%9277.78%0761147151.73%727150048.47%474103745.71%155364316009552056981
30Wolves2010001089-11010000035-21000001054120.500811191046109100184848784670548301524546350.00%12558.33%0761147151.73%727150048.47%474103745.71%155364316009552056981
Total86392605763266234324325902502136109274314170326113012551100.6402664377031646109100182050487846705481803618101121742377129.96%2296870.31%5761147151.73%727150048.47%474103745.71%155364316009552056981
_Since Last GM Reset86392605763266234324325902502136109274314170326113012551100.6402664377031646109100182050487846705481803618101121742377129.96%2296870.31%5761147151.73%727150048.47%474103745.71%155364316009552056981
_Vs Conference53261504620159140192717501400917219269100322068680700.660159267426044610910018125648784670548112338564213351484027.03%1423972.54%3761147151.73%727150048.47%474103745.71%155364316009552056981
_Vs Division22197035206159211132013002826211650222033330531.2056110216312461091001853548784670548425155241567492244.90%732171.23%2761147151.73%727150048.47%474103745.71%155364316009552056981

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
86110W2266437703205018036181011217416
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8639265763266234
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
432592502136109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4314173261130125
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2377129.96%2296870.31%5
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
487846705484610910018
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
761147151.73%727150048.47%474103745.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155364316009552056981


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
15Americans1Stars2LXSommaire du match
219Penguins1Americans4WSommaire du match
441Moose0Americans6WSommaire du match
547Americans4Checkers6LSommaire du match
664Americans7Eagles1WSommaire du match
881Heat2Americans4WSommaire du match
999Americans5Penguins1WSommaire du match
10115Wolf Pack5Americans2LSommaire du match
11125Americans4Comets6LSommaire du match
13147Admirals1Americans3WSommaire du match
14165Stars2Americans5WSommaire du match
15180Americans7Silver Knights2WSommaire du match
16192Americans5Thunderbirds3WSommaire du match
17202Americans2Heat3LSommaire du match
18216Moose4Americans3LXSommaire du match
20236Eagles2Americans5WSommaire du match
21256Admirals1Americans2WSommaire du match
23269Americans0Penguins1LXSommaire du match
24285Stars4Americans2LSommaire du match
25298Americans1Roadrunners7LSommaire du match
27309Americans8Rocket7WXXSommaire du match
28326Checkers4Americans3LXSommaire du match
29346Islanders3Americans5WSommaire du match
30360Americans2Islanders4LSommaire du match
31376Gulls2Americans3WXSommaire du match
32390Americans0Bruins2LSommaire du match
34408Americans4Wild6LSommaire du match
35421Wild2Americans4WSommaire du match
36439Americans2Griffins5LSommaire du match
37456Americans2Gulls0WSommaire du match
38462IceHogs1Americans3WSommaire du match
40483Admirals4Americans8WSommaire du match
41505Americans2Eagles1WXSommaire du match
42518Americans1Comets2LXXSommaire du match
43528Heat3Americans2LXSommaire du match
44547Heat2Americans3WSommaire du match
45560Americans2Barracuda4LSommaire du match
46576Comets4Americans3LXXSommaire du match
47592Americans4Senators5LSommaire du match
48607Canucks2Americans4WSommaire du match
49617Americans4Comets2WSommaire du match
50640Americans1Wolf Pack3LSommaire du match
51650Crunch1Americans2WSommaire du match
52671Griffins3Americans4WSommaire du match
53677Americans2IceHogs1WSommaire du match
54697Roadrunners7Americans3LSommaire du match
56718Americans2Phantoms1WXSommaire du match
57733Senators1Americans4WSommaire du match
59751Americans9Monsters5WSommaire du match
60765Condors5Americans4LXSommaire du match
61783Americans5Reign3WSommaire du match
63796Wolves5Americans3LSommaire du match
64811Americans5Wolves4WXXSommaire du match
65826Bruins2Americans1LSommaire du match
67846Americans6Crunch5WXXSommaire du match
68856Monsters2Americans0LSommaire du match
69872Americans1Moose3LSommaire du match
70888Moose1Americans2WSommaire du match
72900Americans3Eagles2WSommaire du match
73917Barracuda1Americans2WSommaire du match
74935Americans3Checkers2WXXSommaire du match
75945Bears4Americans0LSommaire du match
78968Americans2Marlies1WSommaire du match
79978Americans0Bears4LSommaire du match
80987Silver Knights2Americans1LXXSommaire du match
811011Eagles3Americans1LSommaire du match
831028Americans1Checkers2LSommaire du match
841041Americans0Canucks1LSommaire du match
851051Eagles4Americans6WSommaire du match
871075Phantoms0Americans2WSommaire du match
881089Americans4Moose0WSommaire du match
901107Penguins1Americans3WSommaire du match
911126Monsters0Americans4WSommaire du match
921141Americans4Stars1WSommaire du match
931156Americans2Thunderbirds6LSommaire du match
951168Marlies4Americans5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971192Thunderbirds4Americans1LSommaire du match
981211Americans2Admirals1WXXSommaire du match
991219Rocket2Americans5WSommaire du match
1011237Americans3Condors2WXXSommaire du match
1021252Americans1Stars4LSommaire du match
1031257Americans5Heat4WXSommaire du match
1041267Penguins1Americans2WSommaire du match
1061293Reign4Americans3LXSommaire du match
1091314Checkers3Americans4WXSommaire du match
1101318Americans2Admirals0WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2615
Assistance83,17932,791
Assistance PCT96.72%76.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2697 - 89.90% 91,982$3,955,233$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,438,846$ 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
30,701$ 3,438,808$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 39,630$ 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