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Americans
GP: 31 | W: 17 | L: 10 | OTL: 4 | P: 38
GF: 108 | GA: 90 | PP%: 25.27% | PK%: 77.53%
DG: Jurgen Aagaard | Morale : 52 | Moyenne d’équipe : 58
Prochains matchs #483 vs Admirals

Centre de jeu
Americans
17-10-4, 38pts
2
0 Gulls
16-11-3, 35pts
Team Stats
W2SéquenceL1
11-2-2Fiche domicile8-6-1
6-8-2Fiche domicile8-5-2
5-4-1Derniers 10 matchs3-4-3
3.48Buts par match 2.13
2.90Buts contre par match 2.40
25.27%Pourcentage en avantage numérique22.06%
77.53%Pourcentage en désavantage numérique77.50%
IceHogs
10-12-9, 29pts
1
3 Americans
17-10-4, 38pts
Team Stats
L2SéquenceW2
5-4-6Fiche domicile11-2-2
5-8-3Fiche domicile6-8-2
5-4-1Derniers 10 matchs5-4-1
2.03Buts par match 3.48
2.84Buts contre par match 2.90
33.87%Pourcentage en avantage numérique25.27%
69.23%Pourcentage en désavantage numérique77.53%
Admirals
12-14-4, 28pts
Jour 40
Americans
17-10-4, 38pts
Statistiques d’équipe
L1SéquenceW2
6-9-1Fiche domicile11-2-2
6-5-3Fiche visiteur6-8-2
2-6-210 derniers matchs5-4-1
2.37Buts par match 3.48
3.03Buts contre par match 3.48
33.33%Pourcentage en avantage numérique25.27%
63.22%Pourcentage en désavantage numérique77.53%
Americans
17-10-4, 38pts
Jour 41
Eagles
9-15-5, 23pts
Statistiques d’équipe
W2SéquenceL3
11-2-2Fiche domicile6-9-1
6-8-2Fiche visiteur3-6-4
5-4-110 derniers matchs1-7-2
3.48Buts par match 2.41
2.90Buts contre par match 2.41
25.27%Pourcentage en avantage numérique43.06%
77.53%Pourcentage en désavantage numérique69.33%
Americans
17-10-4, 38pts
Jour 42
Comets
13-14-4, 30pts
Statistiques d’équipe
W2SéquenceL1
11-2-2Fiche domicile7-6-2
6-8-2Fiche visiteur6-8-2
5-4-110 derniers matchs3-5-2
3.48Buts par match 2.03
2.90Buts contre par match 2.03
25.27%Pourcentage en avantage numérique21.21%
77.53%Pourcentage en désavantage numérique68.82%
Meneurs d'équipe
Buts
Noah Ostlund
21
Passes
Jacob Gaucher
21
Points
Noah Ostlund
41
Plus/Moins
Spencer Stastney
19
Victoires
Callum Tung
10
Pourcentage d’arrêts
Drew Commesso
0.9

Statistiques d’équipe
Buts pour
108
3.48 GFG
Tirs pour
845
27.26 Avg
Pourcentage en avantage numérique
25.3%
23 GF
Début de zone offensive
37.0%
Buts contre
90
2.90 GAA
Tirs contre
721
23.26 Avg
Pourcentage en désavantage numérique
77.5%%
20 GA
Début de la zone défensive
35.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,703
Billets de saison1,500


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 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)X100.007065837465818665506068626246466558630261838,333$
2Jacob Gaucher (R)X100.0074717974728390607455606357454562766302412,999,000$
3Noah Ostlund (R)X98.0073648970656869678061696264454565696202131,337,000$
4Axel Jonsson-FjallbyXX100.0077728866727580577054576453454660536002811,000,000$
5Konsta Helenius (R)X100.0073678767685554617558596355454560615901931,289,000$
6Jon-Randall AvonX100.0073649465657176516447505948454556625602212,999,000$
7Graham SlaggertX100.0074707965705555556948576054454557635602612,999,000$
8Coulson Pitre (R)X100.0075698965707076505050466044454554655602131,277,000$
9Matthew Wood (R)X100.0085799981804850445039436542454553615502131,269,000$
10Aleksandr KisakovX100.0067627963634239555044635859454557655302311,000,000$
11Jagger JoshuaX100.0068793962794241505049465643454549665202612,999,000$
12Anthony CallinXXX100.0078709980703230435537436142454551605102711,000,000$
13Victor Mancini (R)X100.0078459074846771612556517025474759646502331,538,000$
14Spencer StastneyX100.006141947667696565255752792550516058650261925,000$
15Maxence GuenetteX100.0080788366797075552543516448454558686102431,290,000$
16Marshall RifaiX100.0073756663757279472537425939454550625802712,999,000$
17Filip Kral (R)X99.0374698566695353542549456243454554395702631,349,000$
18Axel Landen (R)X100.0080729981734951412528396037454549625602031,278,000$
19Cam McDonald (R)X100.0068618560613837432531395537454546545002511,000,000$
Rayé
MOYENNE D’ÉQUIPE99.84746785697160625448485262464546566158
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)100.004540508046894649918145454559676102211,000,000$
2Drew Commesso (R)100.00585366706063566363623045445858590232925,000$
Rayé
1Gabriel Carriere100.004740507349515053535230444450375102511,000,000$
MOYENNE D’ÉQUIPE100.0050445574526851556965354544565457
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
1Noah OstlundAmericans (BUF)C31212041-446306042114305518.42%1263320.45661222701012493254.10%61179011.2900024413
2Angus CrookshankAmericans (BUF)LW25151631-137156350105237714.29%1760424.17461010581122571245.95%6552214011.0311012232
3Axel Jonsson-FjallbyAmericans (BUF)C/LW3113183131210535074235017.57%1358118.7743710560003372049.67%3021910001.0700011500
4Jacob GaucherAmericans (BUF)C31721282652550377223549.72%1461719.912686721123622066.67%4296000.9102203020
5Konsta HeleniusAmericans (BUF)C3110162641715545071154414.08%853817.361451059000040136.00%25209000.9700021024
6Victor ManciniAmericans (BUF)D316172322071437431298.11%3984227.183361481011580100%02623000.5500000112
7Spencer StastneyAmericans (BUF)D2641923190023455119217.84%2048618.72044637112136000%01217000.9500000111
8Aleksandr KisakovAmericans (BUF)LW3112618101810402764223918.75%340713.1500000011024041.18%1774000.8800200232
9Matthew WoodAmericans (BUF)RW311111211552619315113.23%437011.9500028000000047.79%11343000.6500010000
10Graham SlaggertAmericans (BUF)C31291153420662318111411.11%447115.2100001000001088.24%1734000.4700013002
11Maxence GuenetteAmericans (BUF)D3101010-4493552383012170%2370322.69022154011049000%01221000.2800214000
12Jagger JoshuaAmericans (BUF)LW317310735587223071023.33%243514.051128260000181167.57%3764000.4601001030
13Jon-Randall AvonAmericans (BUF)C3144830035282561316.00%735511.48000070111340055.88%13623000.4500000000
14Coulson PitreAmericans (BUF)RW31347175422528141410.71%642113.60123661000001040.63%12886000.3300100010
15Marshall RifaiAmericans (BUF)D312463682059432915146.90%2371923.19101658000042000%0721100.1700013000
16Axel LandenAmericans (BUF)D31044455201913360%1241813.51022446000033000%025000.1900001000
17Filip KralAmericans (BUF)D280338175282715530%2047216.8700004000024000%099000.1300001000
18Cam McDonaldAmericans (BUF)D21000040500000%0663.150000000001000%00100000000000
19Anthony CallinAmericans (BUF)C/LW/RW31000100011000%0260.86000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne5651071852927442120583458984526447112.66%227917316.2423396210570847111753416648.96%1534185169120.641471024151716
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)2410930.8703.0712490164494233201.00032110101
2Tristan JarrySabres106110.8802.315200120167921000100000
3Drew CommessoAmericans (BUF)31000.9003.799500660310000021000
Statistiques d’équipe totales ou en moyenne37171040.8752.90186502907213563033131101


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$660,714$0$0$No---------------------------Lien
Angus CrookshankAmericans (BUF)LW261999-10-02CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm838,333$553,899$0$0$No---------------------------Lien
Anthony CallinAmericans (BUF)C/LW/RW271998-12-23USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$660,714$0$0$No---------------------------Lien
Axel Jonsson-FjallbyAmericans (BUF)C/LW281998-02-10SWENo198 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$660,714$0$0$No---------------------------Lien
Axel LandenAmericans (BUF)D202005-03-29SWEYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$844,393$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$660,714$0$0$No---------872,500$872,500$----------------Lien
Cam McDonaldAmericans (BUF)D252001-02-03USAYes174 Lbs5 ft9NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$660,714$0$0$No---------------------------Lien
Coulson PitreAmericans (BUF)RW212004-12-13CANYes185 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$843,732$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$611,161$0$0$No925,000$--------925,000$--------No--------Lien
Filip KralAmericans (BUF)D261999-10-08CZEYes172 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,349,000$891,304$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$660,714$0$0$No---------------------------Lien
Graham SlaggertAmericans (BUF)C261999-04-06USANo195 Lbs5 ft11NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,981,482$0$0$No---------------------------Lien
Jacob GaucherAmericans (BUF)C242001-03-09CANYes185 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,981,482$0$0$No---------------------------Lien
Jagger JoshuaAmericans (BUF)LW261999-03-29USANo210 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,981,482$0$0$No---------------------------Lien
Jon-Randall AvonAmericans (BUF)C222003-07-04CANNo174 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,981,482$0$0$No---------------------------Lien
Konsta HeleniusAmericans (BUF)C192006-05-11FINYes189 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,289,000$851,661$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Marshall RifaiAmericans (BUF)D271998-03-16CANNo200 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,981,482$0$0$No---------------------------Lien
Matthew WoodAmericans (BUF)RW212005-02-06CANYes205 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,269,000$838,446$0$0$No1,269,000$1,269,000$-------1,269,000$1,269,000$-------NoNo-------Lien
Maxence GuenetteAmericans (BUF)D242001-04-28CANNo210 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,290,000$852,321$0$0$No1,290,000$1,290,000$-------1,290,000$1,290,000$-------NoNo-------Lien
Noah OstlundAmericans (BUF)C212004-03-11SWEYes175 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,337,000$883,375$0$0$No1,337,000$1,337,000$-------1,337,000$1,337,000$-------NoNo-------Lien
Spencer StastneyAmericans (BUF)D262000-01-04USANo184 Lbs6 ft0NoNoTrade2024-12-13NoNo1FalseFalsePro & Farm925,000$611,161$0$0$No---------------------------Lien
Victor ManciniAmericans (BUF)D232002-05-26USAYes229 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,538,000$1,016,179$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
2223.86190 Lbs6 ft11.771,559,561$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherCoulson PitreNoah Ostlund40122
2Konsta HeleniusAxel Jonsson-FjallbyGraham Slaggert30122
3Noah OstlundJon-Randall AvonCoulson Pitre20122
4Aleksandr KisakovMatthew WoodJagger Joshua10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniSpencer Stastney40122
2Maxence GuenetteMarshall Rifai30122
3Victor ManciniMaxence Guenette20122
4Axel LandenMarshall Rifai10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherAxel Jonsson-FjallbyNoah Ostlund60122
2Konsta HeleniusJagger JoshuaCoulson Pitre40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniAxel Landen60122
2Marshall RifaiMaxence Guenette40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jagger JoshuaJacob Gaucher60122
2Noah OstlundJon-Randall Avon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniMaxence Guenette60122
2Axel LandenMarshall Rifai40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Noah Ostlund60122Maxence GuenetteMarshall Rifai60122
2Matthew Wood40122Victor ManciniAxel Landen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Konsta HeleniusNoah Ostlund60122
2Jacob GaucherGraham Slaggert40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniMaxence Guenette60122
2Axel LandenMarshall Rifai40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAxel Jonsson-FjallbyNoah OstlundVictor ManciniMaxence Guenette
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAxel Jonsson-FjallbyNoah OstlundVictor ManciniMaxence Guenette
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksandr Kisakov, Jacob Gaucher, Jagger JoshuaJacob Gaucher, Noah OstlundJacob Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marshall Rifai, Victor Mancini, Maxence GuenetteVictor ManciniMaxence Guenette, Victor Mancini
Tirs de pénalité
Coulson Pitre, Jagger Joshua, Jacob Gaucher, Noah Ostlund, 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
1Admirals22000000523220000005230000000000041.000591400264040245245342255644619736116.67%20100.00%028656450.71%27253750.65%19342345.63%590265576331698331
2Bruins1010000002-2000000000001010000002-200.000000002640402172453422556156624200.00%30100.00%028656450.71%27253750.65%19342345.63%590265576331698331
3Checkers20100100710-31000010034-11010000046-210.25071219002640402532453422556431129544125.00%7271.43%228656450.71%27253750.65%19342345.63%590265576331698331
4Comets1010000046-2000000000001010000046-200.000481200264040239245342255628730315360.00%5340.00%028656450.71%27253750.65%19342345.63%590265576331698331
5Eagles220000001239110000005231100000071641.00012203200264040266245342255643144263500.00%6266.67%028656450.71%27253750.65%19342345.63%590265576331698331
6Griffins1010000025-3000000000001010000025-300.00023500264040223245342255623211226116.67%3233.33%028656450.71%27253750.65%19342345.63%590265576331698331
7Gulls21001000523100010003211100000020241.000591401264040248245342255631816287228.57%30100.00%028656450.71%27253750.65%19342345.63%590265576331698331
8Heat21100000651110000004221010000023-120.5006814002640402482453422556421945546116.67%5260.00%028656450.71%27253750.65%19342345.63%590265576331698331
9IceHogs11000000312110000003120000000000021.00036900264040226245342255619105204250.00%000%028656450.71%27253750.65%19342345.63%590265576331698331
10Islanders21100000770110000005321010000024-220.50071320002640402632453422556641814557457.14%70100.00%028656450.71%27253750.65%19342345.63%590265576331698331
11Moose21000100945210001009450000000000030.7509162501264040270245342255623132853500.00%5180.00%028656450.71%27253750.65%19342345.63%590265576331698331
12Penguins32000100936110000004132100010052350.83391524002640402782453422556542335875120.00%10280.00%128656450.71%27253750.65%19342345.63%590265576331698331
13Roadrunners1010000017-6000000000001010000017-600.000123002640402312453422556471641244125.00%3166.67%028656450.71%27253750.65%19342345.63%590265576331698331
14Rocket10000010871000000000001000001087121.00081321002640402372453422556345231400.00%110.00%028656450.71%27253750.65%19342345.63%590265576331698331
15Silver Knights11000000725000000000001100000072521.0007121900264040229245342255620633217342.86%40100.00%128656450.71%27253750.65%19342345.63%590265576331698331
16Stars31100100880211000007611000010012-130.50081321002640402742453422556642012838337.50%6183.33%028656450.71%27253750.65%19342345.63%590265576331698331
17Thunderbirds11000000532000000000001100000053221.000510150026404023424534225563771627100.00%3166.67%028656450.71%27253750.65%19342345.63%590265576331698331
18Wild21100000880110000004221010000046-220.5008132100264040244245342255669291854100.00%9188.89%028656450.71%27253750.65%19342345.63%590265576331698331
19Wolf Pack1010000025-31010000025-30000000000000.0002350026404022024534225562171930400.00%7185.71%028656450.71%27253750.65%19342345.63%590265576331698331
Total31151001410108901815102012005434201658002105456-2380.6131081852930226404028452453422556721227421834912325.27%892077.53%428656450.71%27253750.65%19342345.63%590265576331698331
_Since Last GM Reset31151001410108901815102012005434201658002105456-2380.6131081852930226404028452453422556721227421834912325.27%892077.53%428656450.71%27253750.65%19342345.63%590265576331698331
_Vs Conference21116004007157141181002004224181035002002933-4260.619711211920126404025852453422556484149292595571322.81%571475.44%328656450.71%27253750.65%19342345.63%590265576331698331
_Vs Division7930040022211371002001192422002001112-1221.5712239610026404022002453422556167559820321838.10%29679.31%128656450.71%27253750.65%19342345.63%590265576331698331

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3138W210818529384572122742183402
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
311510141010890
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1510212005434
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
165802105456
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
912325.27%892077.53%4
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
24534225562640402
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
28656450.71%27253750.65%19342345.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
590265576331698331


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
40483Admirals-Americans-
41505Americans-Eagles-
42518Americans-Comets-
43528Heat-Americans-
44547Heat-Americans-
45560Americans-Barracuda-
46576Comets-Americans-
47592Americans-Senators-
48607Canucks-Americans-
49617Americans-Comets-
50640Americans-Wolf Pack-
51650Crunch-Americans-
52671Griffins-Americans-
53677Americans-IceHogs-
54697Roadrunners-Americans-
56718Americans-Phantoms-
57733Senators-Americans-
59751Americans-Monsters-
60765Condors-Americans-
61783Americans-Reign-
63796Wolves-Americans-
64811Americans-Wolves-
65826Bruins-Americans-
67846Americans-Crunch-
68856Monsters-Americans-
69872Americans-Moose-
70888Moose-Americans-
72900Americans-Eagles-
73917Barracuda-Americans-
74935Americans-Checkers-
75945Bears-Americans-
78968Americans-Marlies-
79978Americans-Bears-
80987Silver Knights-Americans-
811011Eagles-Americans-
831028Americans-Checkers-
841041Americans-Canucks-
851051Eagles-Americans-
871075Phantoms-Americans-
881089Americans-Moose-
901107Penguins-Americans-
911126Monsters-Americans-
921141Americans-Stars-
931156Americans-Thunderbirds-
951168Marlies-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971192Thunderbirds-Americans-
981211Americans-Admirals-
991219Rocket-Americans-
1011237Americans-Condors-
1021252Americans-Stars-
1031257Americans-Heat-
1041267Penguins-Americans-
1061293Reign-Americans-
1091314Checkers-Americans-
1101318Americans-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2615
Assistance29,23711,305
Assistance PCT97.46%75.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2703 - 90.09% 92,354$1,385,309$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,504,213$ 3,431,033$ 3,431,033$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
30,634$ 1,164,911$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,585,910$ 74 39,563$ 2,927,662$




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