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Americans
GP: 35 | W: 19 | L: 14 | OTL: 2 | P: 40
GF: 109 | GA: 105 | PP%: 25.69% | PK%: 77.31%
DG: Interim - Sabres | Morale : 99 | Moyenne d’équipe : 64
Prochains matchs #493 vs Bears

Centre de jeu
Americans
19-14-2, 40pts
1
4 Senators
16-10-9, 41pts
Team Stats
W1SéquenceW1
9-7-1Fiche domicile10-4-3
10-7-1Fiche domicile6-6-6
6-4-0Derniers 10 matchs5-2-3
3.11Buts par match 3.00
3.00Buts contre par match 3.03
25.69%Pourcentage en avantage numérique20.00%
77.31%Pourcentage en désavantage numérique84.92%
Americans
19-14-2, 40pts
3
2 Barracuda
18-14-3, 39pts
Team Stats
W1SéquenceL1
9-7-1Fiche domicile10-6-1
10-7-1Fiche domicile8-8-2
6-4-0Derniers 10 matchs3-7-0
3.11Buts par match 2.97
3.00Buts contre par match 2.91
25.69%Pourcentage en avantage numérique19.05%
77.31%Pourcentage en désavantage numérique81.13%
Bears
17-13-5, 39pts
Jour 47
Americans
19-14-2, 40pts
Statistiques d’équipe
L1SéquenceW1
10-6-2Fiche domicile9-7-1
7-7-3Fiche visiteur10-7-1
5-3-210 derniers matchs6-4-0
2.51Buts par match 3.11
2.46Buts contre par match 3.11
14.41%Pourcentage en avantage numérique25.69%
82.27%Pourcentage en désavantage numérique77.31%
Meneurs d'équipe
Lias AnderssonButs
Lias Andersson
16
Elias PetterssonPasses
Elias Pettersson
21
Lias AnderssonPoints
Lias Andersson
33
Lias AnderssonPlus/Moins
Lias Andersson
16
Yaroslav AskarovVictoires
Yaroslav Askarov
11
Yaroslav AskarovPourcentage d’arrêts
Yaroslav Askarov
0.895

Statistiques d’équipe
Buts pour
109
3.11 GFG
Tirs pour
999
28.54 Avg
Pourcentage en avantage numérique
25.7%
28 GF
Début de zone offensive
40.7%
Buts contre
105
3.00 GAA
Tirs contre
974
27.83 Avg
Pourcentage en désavantage numérique
77.3%%
27 GA
Début de la zone défensive
39.1%
Informations de l'équipe

Directeur généralInterim - Sabres
DivisionAtlantic
ConférenceEst Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison3,000


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs20


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
1Lias Andersson (R)0XX100.00753083787177806774606871676567091680271775,000$
2Egor Afanasyev (R)0X100.00793087707984886762626768656365091680251775,000$
3Brendan Brisson (R)0XX100.00643074777385837066696466656264091680241925,000$
4Matej Blumel (R)0XX100.00753094717589856650616767656466091670261775,000$
5Lane Pederson0X100.00683081747082806776656462666667091660281775,000$
6Nikita Alexandrov (R)0X100.00663090717378806373656662636467091660252775,000$
7Tristan Broz (R)0XX100.00773085767583826176606365646365091660233925,000$
8Ryan Winterton (R)0X100.00723087776680806062586562625253091640222828,333$
9Eduard Sale (R)0XX100.00663092757579796350605661616265091640214918,333$
10Oskar Olausson (R)0XXX100.00723082667379835956585962566264091630232863,333$
11Daniel Torgersson (R)0XX100.00793091657474825756545563556264091620241867,500$
12Coulson Pitre (R)0XX100.00753089647471765458504661505454081580213858,334$
13Connor Clifton0X100.00883078766687866330624977506769087700311775,000$
14Hunter Brzustewicz (R)0X100.00773094777283876230605173606163091690213950,000$
15Elias Pettersson (R)0X100.00793082817778836230604872506165090690223838,333$
16Jacob Bryson0X100.00653092766580826330614880506869091680281775,000$
17Seamus Casey (R)0X100.00633094796380766930684864506162091660223950,000$
18Mike Benning (R)0X100.00673080726677826130524667505254091630242916,667$
Rayé
1Matyas Sapovaliv (R)0X100.0055555555555555506490223803,334$
2Carson Lambos (R)0X100.00733076717776815630474469505153064630232863,333$
3Dmitri Kuzmin (R)0X100.00603089746876725530465158505153064600232795,556$
MOYENNE D’ÉQUIPE100.0069298270687678604856546455586008663
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
1Yaroslav Askarov (R)0100.0077878379767577767577766369089750241925,000$
2Colten Ellis (R)0100.0077827874767577767577766563091740252775,000$
Rayé
MOYENNE D’ÉQUIPE100.007785817776757776757776646609075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Lias AnderssonAmericans (BUF)C/LW35161733161003773114326914.04%960417.26571243970000985149.83%60600001.0901000404
2Nikita AlexandrovAmericans (BUF)C3571825-22020518324548.43%459917.141781983000000048.28%72500000.8301000022
3Elias PetterssonAmericans (BUF)D3532124-228062243210319.38%3074421.273692080000179100%000000.6400000101
4Seamus CaseyAmericans (BUF)D35517221300202741132212.20%1770120.05371024101000020100%000000.6300000010
5Egor AfanasyevAmericans (BUF)LW35101121-3180613192177610.87%463518.1533628950002210044.00%5000000.6612000221
6Brendan BrissonAmericans (BUF)LW/RW3591120-460295084287310.71%360917.425492490000014046.34%4100000.6612000123
7Matej BlumelAmericans (BUF)LW/RW359918-2120355490306610.00%869219.7835818831011942241.86%4300010.5202000211
8Lane PedersonAmericans (BUF)C359817-5140485081154711.11%362217.801562299000031253.97%78000000.5501000000
9Mike BenningAmericans (BUF)D354131734013233341812.12%3469319.813252081000052110%000000.4900000002
10Connor CliftonAmericans (BUF)D352141636358840339116.06%5963918.2600038000076000%000000.5000000011
11Ryan WintertonAmericans (BUF)RW35971672031246193714.75%147713.63000020000310046.67%3000000.6701000131
12Josh Doan SabresLW/RW23671338015248218657.32%246720.3102217630001591041.94%3100000.5601000011
13Tristan BrozAmericans (BUF)C/LW356713-560184555173910.91%541511.861238340003961155.04%49600100.6301000011
14Jacob BrysonAmericans (BUF)D353912222039341881916.67%4966619.0500011011191000%000000.3600000120
15Eduard SaleAmericans (BUF)LW/RW354812140092536162611.11%040611.6000000000000041.18%1700000.5911000022
16Hunter BrzustewiczAmericans (BUF)D3521012-210042211910710.53%4666919.1300000000089100%000000.3611000011
17Daniel TorgerssonAmericans (BUF)LW/RW35224-76022112062110.00%13219.1800001000000050.00%2000000.2500000000
18Oskar OlaussonAmericans (BUF)C/LW/RW35213-7401312215189.52%22777.9200000000000042.86%2100000.2211000000
19Coulson PitreAmericans (BUF)C/RW12022020124000%2947.9100000000000050.00%200000.4200000000
Statistiques d’équipe totales ou en moyenne63010819230010247560362199927169910.81%2791033816.41285078247924112981618750.98%286200110.58515000121921
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
1Yaroslav AskarovAmericans (BUF)21111000.8953.04124322636020210.727112114410
2Colten EllisAmericans (BUF)158420.8922.7986101403710100.50041421120
Statistiques d’équipe totales ou en moyenne36191420.8942.94210423103973031153535530


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Brendan BrissonAmericans (BUF)LW/RW242001-10-22USAYes191 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$38,542$0$0$No---------------------------Lien / Lien NHL
Carson LambosAmericans (BUF)D232003-01-14CANYes197 Lbs6 ft1NoNoProspectNoNo22024-06-26FalseFalsePro & Farm863,333$35,972$0$0$No863,333$--------863,333$--------No--------Lien / Lien NHL
Colten EllisAmericans (BUF)G252000-10-05CANYes191 Lbs6 ft1NoNoFree AgentNoNo22026-04-19FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Connor CliftonAmericans (BUF)D311995-04-28USANo175 Lbs5 ft11NoNoFree AgentNoYes12024-12-02FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Coulson PitreAmericans (BUF)C/RW212004-12-13CANYes185 Lbs6 ft1NoNoProspectNoNo32025-09-22FalseFalsePro & Farm858,334$35,764$0$0$No858,334$858,334$-------858,334$858,334$-------NoNo-------Lien / Lien NHL
Daniel TorgerssonAmericans (BUF)LW/RW242002-01-26SWEYes199 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm867,500$36,146$0$0$No---------------------------Lien / Lien NHL
Dmitri KuzminAmericans (BUF)D232003-04-23BLRYes188 Lbs5 ft10NoNoProspectNoNo22024-06-26FalseFalsePro & Farm795,556$33,148$0$0$No795,556$--------795,556$--------No--------Lien / Lien NHL
Eduard SaleAmericans (BUF)LW/RW212005-03-10CZEYes100 Lbs4 ft0NoNoProspectNoNo42025-09-22FalseFalsePro & Farm918,333$38,264$0$0$No886,666$886,666$886,666$------886,666$886,666$886,666$------NoNoNo------Lien / Lien NHL
Egor AfanasyevAmericans (BUF)LW252001-01-23RUSYes211 Lbs6 ft4NoNoFree AgentNoNo12026-04-07FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Elias PetterssonAmericans (BUF)D222004-02-16SWEYes185 Lbs6 ft2NoNoTrade2026-01-05NoNo32025-09-22FalseFalsePro & Farm838,333$34,931$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien / Lien NHL
Hunter BrzustewiczAmericans (BUF)D212004-11-29USAYes190 Lbs6 ft0NoNoProspectNoNo32025-09-22FalseFalsePro & Farm950,000$39,583$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Jacob BrysonAmericans (BUF)D281997-11-18CANNo176 Lbs5 ft9NoNoFree AgentNoYes12026-04-23FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Lane PedersonAmericans (BUF)C281997-08-04CANNo192 Lbs6 ft0NoNoFree AgentNoYes12026-04-07FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Lias AnderssonAmericans (BUF)C/LW271998-10-13SWEYes185 Lbs6 ft0NoNoFree AgentNoNo12026-04-07FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Matej BlumelAmericans (BUF)LW/RW262000-05-31CZEYes200 Lbs6 ft0NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm775,000$32,292$0$0$No---------------------------Lien / Lien NHL
Matyas SapovalivAmericans (BUF)C222004-02-12CZEYes203 Lbs6 ft4NoNoProspectNoNo32025-09-22FalseFalsePro & Farm803,334$33,472$0$0$No803,334$803,334$-------803,334$803,334$-------NoNo-------Lien / Lien NHL
Mike BenningAmericans (BUF)D242002-01-05CANYes185 Lbs5 ft9NoNoProspectNoNo22024-06-26FalseFalsePro & Farm916,667$38,194$0$0$No916,667$--------916,667$--------No--------Lien / Lien NHL
Nikita AlexandrovAmericans (BUF)C252000-09-16RUSYes177 Lbs6 ft1NoNoFree AgentNoNo22025-10-27FalseFalsePro & Farm775,000$32,292$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Oskar OlaussonAmericans (BUF)C/LW/RW232002-11-10SWEYes180 Lbs6 ft1NoNoDraftNoNo22024-06-26FalseFalsePro & Farm863,333$35,972$0$0$No863,333$--------863,333$--------No--------Lien / Lien NHL
Ryan WintertonAmericans (BUF)RW222003-09-04CANYes175 Lbs6 ft2NoNoProspectNoNo22024-06-26FalseFalsePro & Farm828,333$34,514$0$0$No828,333$--------828,333$--------No--------Lien / Lien NHL
Seamus CaseyAmericans (BUF)D222004-01-08USAYes162 Lbs5 ft10NoNoProspectNoNo32025-09-22FalseFalsePro & Farm950,000$39,583$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Tristan BrozAmericans (BUF)C/LW232002-10-10USAYes205 Lbs6 ft0NoNoProspectNoNo32025-09-22FalseFalsePro & Farm925,000$38,542$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Yaroslav AskarovAmericans (BUF)G242002-06-16RUSYes176 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$38,542$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.09184 Lbs5 ft111.96844,698$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan BrissonLane PedersonRyan Winterton30014
2Egor AfanasyevNikita AlexandrovMatej Blumel30014
3Eduard SaleLias AnderssonDaniel Torgersson24023
4Oskar OlaussonTristan BrozCoulson Pitre16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJacob Bryson34023
2Hunter BrzustewiczElias Pettersson34221
3Connor CliftonMike Benning32131
4Connor CliftonMike Benning0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor AfanasyevLane PedersonBrendan Brisson60005
2Tristan BrozNikita AlexandrovMatej Blumel40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lias AnderssonSeamus Casey60005
2Mike BenningElias Pettersson40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tristan BrozRyan Winterton50050
2Lias AnderssonMatej Blumel50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonHunter Brzustewicz50050
2Connor CliftonElias Pettersson50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lias Andersson50050Jacob BrysonHunter Brzustewicz50050
2Tristan Broz50050Connor CliftonElias Pettersson50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lane PedersonEgor Afanasyev50023
2Nikita AlexandrovBrendan Brisson50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJacob Bryson50032
2Connor CliftonElias Pettersson50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor AfanasyevLane PedersonMatej BlumelBrendan BrissonSeamus Casey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tristan BrozLias AnderssonRyan WintertonJacob BrysonConnor Clifton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Winterton, Eduard Sale, Daniel TorgerssonTristan Broz, Ryan WintertonEgor Afanasyev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Benning, Hunter Brzustewicz, Jacob BrysonConnor CliftonMike Benning, Seamus Casey
Tirs de pénalité
Lias Andersson, Egor Afanasyev, Brendan Brisson, Matej Blumel, Tristan Broz
Gardien
#1 : Colten Ellis, #2 : Yaroslav Askarov
Lignes d’attaque personnalisées en prolongation
Brendan Brisson, Lane Pederson, Tristan Broz, Egor Afanasyev, Lias Andersson, Nikita Alexandrov, Oskar Olausson, Matej Blumel, Eduard Sale, Ryan Winterton
Lignes de défense personnalisées en prolongation
Seamus Casey, Elias Pettersson, Connor Clifton, Jacob Bryson, Hunter Brzustewicz


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
1Admirals1010000035-2000000000001010000035-200.0003580041303484129735134224197626500.00%3166.67%0589115750.91%576111251.80%29457251.40%821566846258448222
2Barracuda21000010862100000105411100000032141.000812200041303485229735134224661214318225.00%7185.71%0589115750.91%576111251.80%29457251.40%821566846258448222
3Bruins22000000963110000005321100000043141.00091827004130348552973513422448111441400.00%7185.71%0589115750.91%576111251.80%29457251.40%821566846258448222
4Canucks10001000431100010004310000000000021.000481200413034833297351342242017219100.00%110.00%0589115750.91%576111251.80%29457251.40%821566846258448222
5Checkers2010000136-31010000024-21000000112-110.250358104130348542973513422452131833500.00%9277.78%0589115750.91%576111251.80%29457251.40%821566846258448222
6Comets1010000045-1000000000001010000045-100.0004711004130348372973513422437114215360.00%20100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
7Condors1010000007-7000000000001010000007-700.000000004130348282973513422434101016300.00%5340.00%0589115750.91%576111251.80%29457251.40%821566846258448222
8Crunch22000000844110000003211100000052341.000813210041303484629735134224771414318337.50%7185.71%0589115750.91%576111251.80%29457251.40%821566846258448222
9Eagles11000000404000000000001100000040421.000481201413034828297351342242311102011100.00%50100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
10Griffins1010000023-11010000023-10000000000000.00023500413034821297351342241244157114.29%20100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
11Gulls11000000532000000000001100000053221.000591400413034834297351342242378173133.33%40100.00%1589115750.91%576111251.80%29457251.40%821566846258448222
12IceHogs10001000211000000000001000100021121.0002460041303481929735134224404613300.00%30100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
13Islanders11000000431110000004310000000000021.000471100413034827297351342243946183133.33%30100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
14Marlies21001000633110000005321000100010141.00061218014130348442973513422453171633200.00%8275.00%0589115750.91%576111251.80%29457251.40%821566846258448222
15Moose11000000752110000007520000000000021.0007132000413034832297351342242694253266.67%2150.00%0589115750.91%576111251.80%29457251.40%821566846258448222
16Penguins1010000012-11010000012-10000000000000.0001230041303484329735134224307615600.00%3166.67%0589115750.91%576111251.80%29457251.40%821566846258448222
17Phantoms1010000045-1000000000001010000045-100.0004610004130348252973513422417108123266.67%4175.00%0589115750.91%576111251.80%29457251.40%821566846258448222
18Reign11000000422110000004220000000000021.000471100413034834297351342242256175360.00%30100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
19Rocket3030000069-32020000057-21010000012-100.000611170041303488529735134224923218419222.22%9455.56%0589115750.91%576111251.80%29457251.40%821566846258448222
20Senators3110010069-31000010034-12110000035-230.5006111700413034898297351342248220164911218.18%8187.50%0589115750.91%576111251.80%29457251.40%821566846258448222
21Stars1010000036-31010000036-30000000000000.0003690041303482329735134224357226100.00%110.00%0589115750.91%576111251.80%29457251.40%821566846258448222
22Thunderbirds11000000321000000000001100000032121.0003580041303482629735134224228820200.00%4250.00%0589115750.91%576111251.80%29457251.40%821566846258448222
23Wild1010000012-11010000012-10000000000000.000112004130348272973513422437121413000%70100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
24Wolf Pack1010000036-3000000000001010000036-300.000358004130348272973513422429910152150.00%5340.00%0589115750.91%576111251.80%29457251.40%821566846258448222
25Wolves11000000523000000000001100000052321.00057120041303483029735134224231321193266.67%5180.00%0589115750.91%576111251.80%29457251.40%821566846258448222
26Wranglers11000000404110000004040000000000021.000471101413034830297351342241654176233.33%20100.00%0589115750.91%576111251.80%29457251.40%821566846258448222
Total351514031111091054177701110585351887020015152-1400.571109192301134130348999297351342249742792496031092825.69%1192777.31%1589115750.91%576111251.80%29457251.40%821566846258448222
_Since Last GM Reset351514031111091054177701110585351887020015152-1400.571109192301134130348999297351342249742792496031092825.69%1192777.31%1589115750.91%576111251.80%29457251.40%821566846258448222
_Vs Conference2089011015960-194400100282801145010013132-1200.5005910416311413034857129735134224579161151328611626.23%701775.71%0589115750.91%576111251.80%29457251.40%821566846258448222
_Vs Division1465011013837173300100232307320100115141160.5713870108114130348382297351342244041079622839717.95%481177.08%0589115750.91%576111251.80%29457251.40%821566846258448222

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3540W110919230199997427924960313
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3515143111109105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
177711105853
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
188720015152
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1092825.69%1192777.31%1
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
297351342244130348
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
589115750.91%576111251.80%29457251.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
821566846258448222


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
112Americans2Senators1WSommaire du match
220Rocket3Americans2LSommaire du match
337Marlies3Americans5WSommaire du match
554Americans2IceHogs1WXSommaire du match
663Americans0Condors7LSommaire du match
773Americans1Checkers2LXXSommaire du match
882Griffins3Americans2LSommaire du match
10105Penguins2Americans1LSommaire du match
11116Americans4Bruins3WSommaire du match
12132Bruins3Americans5WSommaire du match
13139Americans5Gulls3WSommaire du match
14156Senators4Americans3LXSommaire du match
15174Americans3Wolf Pack6LSommaire du match
17186Islanders3Americans4WSommaire du match
18204Americans4Eagles0WSommaire du match
19218Americans1Rocket2LSommaire du match
20221Wild2Americans1LSommaire du match
21237Americans5Wolves2WSommaire du match
23250Canucks3Americans4WXSommaire du match
24267Rocket4Americans3LSommaire du match
26290Stars6Americans3LSommaire du match
27295Americans5Crunch2WSommaire du match
28315Crunch2Americans3WSommaire du match
30333Americans4Phantoms5LSommaire du match
31347Barracuda4Americans5WXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
32364Checkers4Americans2LSommaire du match
33373Americans3Admirals5LSommaire du match
34384Americans1Marlies0WXSommaire du match
36401Wranglers0Americans4WSommaire du match
37414Americans4Comets5LSommaire du match
38428Americans3Thunderbirds2WSommaire du match
39441Reign2Americans4WSommaire du match
41456Moose5Americans7WSommaire du match
43471Americans1Senators4LSommaire du match
44476Americans3Barracuda2WSommaire du match
47493Bears-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance34,00017,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 3000 - 100.00% 126,650$2,153,050$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,973,616$ 1,942,804$ 1,942,804$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
40,475$ 1,973,616$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
126,650$ 2 40,475$ 80,950$




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