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Americans
GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 25 | GA: 15 | PP%: 43.75% | PK%: 80.00%
DG: Marc L'Abbé | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #83 vs Stars

Centre de jeu
Americans
4-1-0, 8pts
4
1 Devils
1-3-0, 2pts
Team Stats
W4SéquenceL3
2-0-0Fiche domicile1-2-0
2-1-0Fiche domicile0-1-0
4-1-0Derniers 10 matchs1-3-0
5.00Buts par match 2.50
3.00Buts contre par match 5.00
43.75%Pourcentage en avantage numérique7.69%
80.00%Pourcentage en désavantage numérique75.00%
Americans
4-1-0, 8pts
6
3 Condors
2-2-0, 4pts
Team Stats
W4SéquenceL1
2-0-0Fiche domicile1-2-0
2-1-0Fiche domicile1-0-0
4-1-0Derniers 10 matchs2-2-0
5.00Buts par match 4.25
3.00Buts contre par match 4.50
43.75%Pourcentage en avantage numérique25.00%
80.00%Pourcentage en désavantage numérique73.68%
Stars
4-1-0, 8pts
Jour 12
Americans
4-1-0, 8pts
Statistiques d’équipe
W1SéquenceW4
2-0-0Fiche domicile2-0-0
2-1-0Fiche visiteur2-1-0
4-1-010 derniers matchs4-1-0
4.00Buts par match 5.00
2.40Buts contre par match 5.00
34.78%Pourcentage en avantage numérique43.75%
91.67%Pourcentage en désavantage numérique80.00%
Sound Tigers
4-1-0, 8pts
Jour 16
Americans
4-1-0, 8pts
Statistiques d’équipe
W3SéquenceW4
2-0-0Fiche domicile2-0-0
2-1-0Fiche visiteur2-1-0
4-1-010 derniers matchs4-1-0
3.00Buts par match 5.00
1.80Buts contre par match 5.00
26.32%Pourcentage en avantage numérique43.75%
88.89%Pourcentage en désavantage numérique80.00%
Phantoms
1-4-0, 2pts
Jour 20
Americans
4-1-0, 8pts
Statistiques d’équipe
L4SéquenceW4
1-1-0Fiche domicile2-0-0
0-3-0Fiche visiteur2-1-0
1-4-010 derniers matchs4-1-0
2.60Buts par match 5.00
4.80Buts contre par match 5.00
18.75%Pourcentage en avantage numérique43.75%
80.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Nick Lardis
4
Passes
Dalibor Dvorsky
8
Points
Dalibor Dvorsky
9
Ville HeinolaPlus/Moins
Ville Heinola
7
Victoires
Matthew Murray
4
Pourcentage d’arrêts
Matthew Murray
0.91

Statistiques d’équipe
Buts pour
25
5.00 GFG
Tirs pour
221
44.20 Avg
Pourcentage en avantage numérique
43.8%
7 GF
Début de zone offensive
41.9%
Buts contre
15
3.00 GAA
Tirs contre
149
29.80 Avg
Pourcentage en désavantage numérique
80.0%%
3 GA
Début de la zone défensive
36.3%
Informations de l'équipe

Directeur généralMarc L'Abbé
EntraîneurGeordie Kinnear
DivisionNorth
ConférenceCanadian
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,145
Billets de saison0


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite Contrat40 / 250
Espoirs0


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
1Dalibor DvorskyX100.006446786676707264696566708258560506702121,500,000$
2Matthew PhillipsXX100.005459696355696665556561645767600506302811,000,000$
3Nathan LegareX100.00575866647270685956586165556358050620251900,000$
4Nick LardisX100.006151726161626161546065646356550506202121,000,000$
5Marc McLaughlinX100.005854755972626058575958655663590506102711,000,000$
6Nathan SmithX100.00556067586465636070605964546659050610271850,000$
7Ben BerardX100.00556169596764625955586061656559050600271850,000$
8Kevin LombardiX100.00555568588161605755565861546659050600281850,000$
9Jacob DotyX100.00575564557765645555555562547564050590332850,000$
10Shawn ElementXX100.00555868576764625655555762546458050590261850,000$
11Brandon BaddockX100.00585465557760605555555561547263050580311850,000$
12Reece VitelliX100.00555469556357565455555460546056050560251850,000$
13Simon BenoitX100.008167787179749158405756785665580506702811,400,000$
14Ville HeinolaX100.005851766567646157416056685762590506202511,200,000$
15Joel NystromX100.00575077596565615841585673566057050620241850,000$
16Philip KempX100.005555665875686656405656655465590506002721,200,000$
17Viking Gustafsson-NybergX100.005745715481645554395454665455540505902321,500,000$
18Abram WiebeX100.00573868546766555438545464545454050580232850,000$
Rayé
1Roman KinalX100.005454695569585854405454605466590505702811,000,000$
MOYENNE D’ÉQUIPE100.0058547059706563585158586557635805061
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
1Matthew Murray100.00747777607472747770697069590507302821,500,000$
2Ryan Fanti100.00646666657163746467646566580506702711,500,000$
Rayé
MOYENNE D’ÉQUIPE100.006972726373687471696768685905070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geordie Kinnear7273727061551CAN522250,000$


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
1Dalibor DvorskyAmericans (Buf)RW418950079227134.55%18822.25033380001130060.00%3000002.0200000101
2Matthew PhillipsAmericans (Buf)C/RW52685207201871511.11%111523.041232120000120052.03%12300001.3900000010
3Philip KempAmericans (Buf)D52465001261141318.18%511122.3701168000010000%000001.0700000012
4Nick LardisAmericans (Buf)LW4426520124184922.22%08220.7020248000070075.00%1200001.4500000100
5Marc McLaughlinAmericans (Buf)C5325340517285910.71%07014.2000000000011068.18%8800001.4100000020
6Nathan LegareAmericans (Buf)RW5235140910226159.09%010120.35011410000070066.67%900000.9800000001
7Nathan SmithAmericans (Buf)C513412071124694.17%19018.1900026000000055.08%11800000.8800000000
8Ville HeinolaAmericans (Buf)D422472012761433.33%68320.8621336000010010%000000.9600000110
9Ben BerardAmericans (Buf)LW5224-120491221116.67%29118.3410116000000050.00%400000.8700000001
10Kevin LombardiAmericans (Buf)RW504420035103110%27214.52000000000300100.00%200001.1000000000
11Jacob DotyAmericans (Buf)RW43031003362150.00%1276.8500000000002050.00%400002.1900000000
12Simon BenoitAmericans (Buf)D4033-1202397540%79523.9403337000011000%000000.6300000000
13Brandon BaddockAmericans (Buf)LW4022100244250%0307.550000000002000%000001.3300000000
14Reece VitelliAmericans (Buf)RW4022100452020%1276.8500000000000061.54%3900001.4600000000
15Joel NystromAmericans (Buf)D4112-1001440525.00%19523.7611227000012000%000000.4200000000
16Shawn ElementAmericans (Buf)C/LW41011201291511.11%14511.4100000000000080.00%500000.4400000000
17Abram WiebeAmericans (Buf)D41012005230333.33%26115.320000000002100%000000.3300000000
18Viking Gustafsson-NybergAmericans (Buf)D4011260434140%25814.740000000000000%000000.3400000000
Statistiques d’équipe totales ou en moyenne79254570392801211302105613811.90%33135117.117121930820001974158.99%43400001.0400000355
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
1Matthew MurrayAmericans (Buf)44000.9102.252400091000000040000
2Ryan FantiAmericans (Buf)10000.71416.0015004140000015000
Statistiques d’équipe totales ou en moyenne54000.8863.062550013114000055000


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Abram WiebeAmericans (Buf)D232003-08-28CANNo206 Lbs6 ft2NoNoFree AgentNoNo22026-07-12FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Ben BerardAmericans (Buf)LW271999-02-13CANNo192 Lbs6 ft0NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Brandon BaddockAmericans (Buf)LW311995-03-29CANNo218 Lbs6 ft3NoNoFree AgentNoNo12026-08-18FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Dalibor DvorskyAmericans (Buf)RW212005-06-15SVKNo206 Lbs6 ft0NoNoFree AgentNoNo22026-07-12FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$886,666$-------No--------Lien
Jacob DotyAmericans (Buf)RW331993-06-19USANo220 Lbs6 ft3NoNoFree AgentNoNo22026-08-18FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Joel NystromAmericans (Buf)D242002-05-14SWENo178 Lbs5 ft10NoNoFree AgentNoNo12026-07-12FalseFalsePro & Farm850,000$0$0$No---------925,000$-----------------Lien
Kevin LombardiAmericans (Buf)RW281998-08-12USANo229 Lbs6 ft5NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Marc McLaughlinAmericans (Buf)C271999-07-26USANo202 Lbs6 ft0NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Matthew MurrayAmericans (Buf)G281998-02-02CANNo194 Lbs6 ft1NoNoFree AgentNoNo22026-07-25FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Matthew PhillipsAmericans (Buf)C/RW281998-04-06CANNo161 Lbs5 ft8NoNoFree AgentNoNo12025-06-30FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nathan LegareAmericans (Buf)RW252001-01-11CANNo200 Lbs6 ft0NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nathan SmithAmericans (Buf)C271998-10-19USANo176 Lbs6 ft0NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Nick LardisAmericans (Buf)LW212005-07-08CANNo165 Lbs5 ft10NoNoFree AgentNoNo22026-07-23FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$890,000$-------No--------Lien
Philip KempAmericans (Buf)D271999-02-12USANo212 Lbs6 ft3NoNoFree AgentNoNo22025-08-01FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Reece VitelliAmericans (Buf)RW252001-07-05CANNo181 Lbs5 ft11NoNoFree AgentNoNo12026-08-18FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Roman KinalAmericans (Buf)D281998-07-20USANo190 Lbs6 ft2NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Ryan FantiAmericans (Buf)G271999-10-03CANNo198 Lbs6 ft3NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Shawn ElementAmericans (Buf)C/LW262000-04-23CANNo192 Lbs6 ft0NoNoFree AgentNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Simon BenoitAmericans (Buf)D281998-09-19CANNo209 Lbs6 ft3NoNoFree Agent2025-03-08NoNo12026-07-12FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien / Lien NHL
Viking Gustafsson-NybergAmericans (Buf)D232003-09-21SWENo224 Lbs6 ft5NoNoFree AgentNoNo22026-07-25FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Ville HeinolaAmericans (Buf)D252001-03-02FINNo180 Lbs6 ft0NoNoFree AgentNoNo12025-08-20FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.29197 Lbs6 ft11.331,064,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick LardisMatthew PhillipsDalibor Dvorsky40122
2Ben BerardNathan SmithNathan Legare30122
3Shawn ElementMarc McLaughlinKevin Lombardi20122
4Brandon BaddockReece VitelliJacob Doty10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitJoel Nystrom40122
2Ville HeinolaPhilip Kemp30122
3Viking Gustafsson-NybergAbram Wiebe20122
4Simon BenoitJoel Nystrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick LardisMatthew PhillipsDalibor Dvorsky60122
2Ben BerardNathan SmithNathan Legare40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitJoel Nystrom60122
2Ville HeinolaPhilip Kemp40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dalibor DvorskyMatthew Phillips60122
2Nick LardisNathan Legare40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitJoel Nystrom60122
2Ville HeinolaPhilip Kemp40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dalibor Dvorsky60122Simon BenoitJoel Nystrom60122
2Matthew Phillips40122Ville HeinolaPhilip Kemp40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dalibor DvorskyMatthew Phillips60122
2Nick LardisNathan Legare40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitJoel Nystrom60122
2Ville HeinolaPhilip Kemp40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick LardisMatthew PhillipsDalibor DvorskySimon BenoitJoel Nystrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick LardisMatthew PhillipsDalibor DvorskySimon BenoitJoel Nystrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Reece Vitelli, Marc McLaughlin, Kevin LombardiReece Vitelli, Marc McLaughlinKevin Lombardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Viking Gustafsson-Nyberg, Abram Wiebe, Ville HeinolaViking Gustafsson-NybergAbram Wiebe, Ville Heinola
Tirs de pénalité
Dalibor Dvorsky, Matthew Phillips, Nick Lardis, Nathan Legare, Nathan Smith
Gardien
#1 : Matthew Murray, #2 : Ryan Fanti
Lignes d’attaque personnalisées en prolongation
Dalibor Dvorsky, Matthew Phillips, Nick Lardis, Nathan Legare, Nathan Smith, Marc McLaughlin, Kevin Lombardi, Ben Berard, Jacob Doty, Shawn Element
Lignes de défense personnalisées en prolongation
Simon Benoit, Joel Nystrom, Ville Heinola, Philip Kemp, Viking Gustafsson-Nyberg


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
TotalDomicile Visiteur
# 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 RI
1Condors11000000633000000000001100000063321.0006111700811603266837201858275120.00%4175.00%012619664.29%9217054.12%5610254.90%13496101346433
2Devils21100000871000000000002110000087120.5008152300811601156683720671210477228.57%5180.00%012619664.29%9217054.12%5610254.90%13496101346433
3Penguins11000000633110000006330000000000021.00061218008116026668372031882644100.00%4175.00%012619664.29%9217054.12%5610254.90%13496101346433
4Phantoms11000000523110000005230000000000021.000591400811604866837203311426000%20100.00%012619664.29%9217054.12%5610254.90%13496101346433
Total54100000251510220000001156321000001410480.80025477200811602216683720149363012616743.75%15380.00%012619664.29%9217054.12%5610254.90%13496101346433
_Since Last GM Reset54100000251510220000001156321000001410480.80025477200811602216683720149363012616743.75%15380.00%012619664.29%9217054.12%5610254.90%13496101346433
_Vs Conference54100000251510220000001156321000001410480.80025477200811602216683720149363012616743.75%15380.00%012619664.29%9217054.12%5610254.90%13496101346433
_Vs Division42100000191272000000011562210000087140.5001936550081160189668372013131229911654.55%11281.82%012619664.29%9217054.12%5610254.90%13496101346433

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58W4254772221149363012600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
54100002515
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100001410
Derniers 10 matchs
WLOTWOTL SOWSOL
410000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16743.75%15380.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
668372081160
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
12619664.29%9217054.12%5610254.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13496101346433


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
213Americans4Devils6LSommaire du match
421Phantoms2Americans5WSommaire du match
640Penguins3Americans6WSommaire du match
849Americans4Devils1WSommaire du match
1068Americans6Condors3WSommaire du match
1283Stars-Americans-
16106Sound Tigers-Americans-
20133Phantoms-Americans-
22149Americans-Reign-
24166Thunderbirds-Americans-
26176Americans-Crunch-
29197Condors-Americans-
31216Americans-Stars-
33229Bears-Americans-
35244Americans-Falcons-
38260Americans-Firebirds-
39270Condors-Americans-
42292Americans-Devils-
44302Rocket-Americans-
46323Americans-Rocket-
48334Stars-Americans-
50352Americans-Reign-
52365Senators-Americans-
55388Americans-Thunderbirds-
57399Rocket-Americans-
60425Bears-Americans-
62441Americans-Monsters-
64455Barracuda-Americans-
66466Americans-Wolfpack-
68485Aces-Americans-
70500Americans-Gulls-
72518Aces-Americans-
74531Americans-Falcons-
76546Americans-Thunderbirds-
78559Wolfpack-Americans-
80572Americans-Wheat Kings-
82587Rampage-Americans-
86616Falcons-Americans-
88633Americans-Wheat Kings-
90647Phantoms-Americans-
92662Americans-Phantoms-
94677Americans-Sound Tigers-
96688Wolves-Americans-
99712Heat-Americans-
101722Americans-Condors-
103743Crunch-Americans-
105752Americans-Crunch-
108777Bruins-Americans-
110789Americans-Stars-
112800Americans-Senators-
114813Penguins-Americans-
116829Americans-Bears-
118842Americans-Rocket-
119850Firebirds-Americans-
122876Americans-Barracuda-
123884Wolfpack-Americans-
127907Ice Hogs-Americans-
131935Moose-Americans-
133947Americans-Griffins-
135965Americans-Marlies-
136971Americans-Admirals-
138982Senators-Americans-
1401003Americans-Bruins-
1421012Crunch-Americans-
1451034Sound Tigers-Americans-
1471051Americans-Senators-
1491065Americans-Swamp Rabbits-
1511078Firebirds-Americans-
1541099Americans-Bruins-
1551108Americans-Swamp Rabbits-
1561114Thunderbirds-Americans-
1601139Swamp Rabbits-Americans-
1641164Swamp Rabbits-Americans-
1671182Americans-Wild-
1691195Americans-Marlies-
1701204Americans-Penguins-
1721213Devils-Americans-
1771234Devils-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets200100
Assistance2,8541,436
Assistance PCT71.35%71.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
37 2145 - 71.50% 500,080$1,000,160$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
152,677$ 2,235,000$ 2,235,000$ 250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,348$ 137,486$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
18,502,960$ 170 13,729$ 2,333,930$




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