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OTHL - Americans 
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Americans
GP: 82 | W: 64 | L: 16 | OTL: 2 | P: 130
GF: 370 | GA: 153 | PP%: 26.24% | PK%: 82.93%
DG: Jason | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Americans
64-16-2, 130pts
1
FINAL
3 Wild
26-52-4, 56pts
Team Stats
W1StreakL1
35-6-0Home Record13-26-2
29-10-2Away Record13-26-2
5-5-0Last 10 Games6-3-1
4.51Buts par match 3.20
1.87Buts contre par match 4.98
26.24%Pourcentage en avantage numérique13.64%
82.93%Pourcentage en désavantage numérique81.31%
Wild
26-52-4, 56pts
2
FINAL
3 Americans
64-16-2, 130pts
Team Stats
L1StreakW1
13-26-2Home Record35-6-0
13-26-2Away Record29-10-2
6-3-1Last 10 Games5-5-0
3.20Buts par match 4.51
4.98Buts contre par match 1.87
13.64%Pourcentage en avantage numérique26.24%
81.31%Pourcentage en désavantage numérique82.93%
Meneurs d'équipe
Ryan FitzgeraldButs
Ryan Fitzgerald
88
Christian DjoosPasses
Christian Djoos
73
Ryan FitzgeraldPoints
Ryan Fitzgerald
139
Mikey EyssimontPlus/Moins
Mikey Eyssimont
84
Alexandar GeorgievVictoires
Alexandar Georgiev
47
Ilya SamsonovPourcentage d’arrêts
Ilya Samsonov
0.917

Statistiques d’équipe
Buts pour
370
4.51 GFG
Tirs pour
2486
30.32 Avg
Pourcentage en avantage numérique
26.2%
90 GF
Début de zone offensive
42.6%
Buts contre
153
1.87 GAA
Tirs contre
1415
17.26 Avg
Pourcentage en désavantage numérique
82.9%
57 GA
Début de la zone défensive
33.0%
Informations de l'équipe

Directeur généralJason
EntraîneurScott Arniel
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,874
Billets de saison0


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 50
Espoirs31


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
1Chris TerryXX100.007369836669778068506565676254546850650331750,000$
2Arttu Ruotsalainen (R)XXX100.007342867365666267385680632545457250630241925,000$
3Remi ElieX100.007978816078595863505765676247476550610272750,000$
4Andrew PoturalskiX100.007365925965616066806858675555556350610282750,000$
5Michael AmadioXX100.006142947374637167786155592559605950610263750,000$
6Ryan FitzgeraldXX100.007061906561676864805767626444446650610272750,000$
7Sean MaloneX100.007471816471636461766058635544446250600272750,000$
8Keegan Kolesar (R)X100.008946806579546657526858542550506250590252905,000$
9Mikey EyssimontXX100.006767666867717559745658595544446050590252925,000$
10Ross JohnstonX100.00994931688852505233585561255152585058X02811,000,000$
11Turner ElsonXX100.00706778656767705850605161484444595058X0293750,000$
12Joona Luoto (R)XX100.007473777373515055504857625445455850570241758,333$
13Christian DjoosX100.0061418880676670772559485275616358506202711,275,000$
14Taylor FedunX100.006742907172626661256049642558596150620332750,000$
15Andy WelinskiX100.007644996874665369253947567058595650600294750,000$
16Tyler LewingtonX100.007869996269495241252839603744444950540273750,000$
Rayé
1Cole SchneiderXX100.008073976073697164506162705954546650630311750,000$
2Dalton SmithX100.006676446376555845503846554444444950510292750,000$
MOYENNE D’ÉQUIPE100.00746081677262646151565761485050615060
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
1Jonas Johansson (R)100.00535352905650735563547545455750590262750,000$
2Jon Gillies100.00545164915252616256573045455650580283750,000$
Rayé
MOYENNE D’ÉQUIPE100.0054525891545167596056534545575059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel68707663878159CAN582900,000$


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

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# 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
1Ryan Fitzgerald Americans (BUF)C/LW82885113957922023119752717131516.70%19168120.5121234410126220264112570.64%1451000111.651201220910
2Christian Djoos Americans (BUF)D82267399366358875159589416.35%64180622.03162137112266000024165 0.00%000001.1002010294
3Michael Amadio Americans (BUF)C/RW82365793497591402777823413.00%9137416.764232740219000007069.18%133700011.3502010845
4Andy Welinski Americans (BUF)D822862906956096591965513314.29%61164720.09171532113246011424040 0.00%000001.09110004310
5Andrew Poturalski Americans (BUF)C8242478975320311162107016420.00%9109213.320002150001159074.70%91300041.63000001073
6Taylor Fedun Americans (BUF)D8211738434621013076143341127.69%80181222.106273388268000124630 0.00%000000.9300011223
7Remi Elie Americans (BUF)LW82363874747620107722306816715.65%13107213.08729375901111195164.86%7400001.3800112381
8Keegan Kolesar Americans (BUF)RW82324173489515204742104715415.24%8135116.486131937215000006270.97%6200011.08001024102
9Arttu Ruotsalainen Americans (BUF)C/LW/RW433729666614048642346216915.81%891821.3645926101314171685156.06%6600031.4402000872
10Mikey Eyssimont Americans (BUF)C/LW82115061849001214257115119.30%32133516.2900000000001075.00%400000.9100000135
11Sean Malone Americans (BUF)C8210465682108101244758294117.24%36132816.2000000000002077.27%4400000.8400002014
12Tyler Lewington Americans (BUF)D8272936675010112298231688.54%53157219.184101437233011122010 0.00%000000.4600020012
13Turner Elson Americans (BUF)LW/RW8114193368355373793288615.05%17879.7200000000003074.42%4300000.8400001033
14Ross Johnston Americans (BUF)LW82721287480101447825628.97%45296.46291119720001620061.13%35500001.0600000100
15Chris Terry Americans (BUF)LW/RW1112921161810232345143226.67%526223.832134220000482051.82%11000001.6000011314
16Cole Schneider Americans (BUF)LW/RW13471174013134616388.70%224518.902249270000201050.00%3000000.9000000100
17Tage ThompsonSabresLW/RW436952037146721.43%08922.48213490000240075.00%800002.0000000100
Statistiques d’équipe totales ou en moyenne11364046581062844852110147811152659803192715.19%4041890816.64931522456292022549321450671469.49%4497000201.12292811686858
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
1Alexandar GeorgievSabres6147950.9091.5536310139410300020.61921610411
2Jonas Johansson Americans (BUF)55411210.8871.9632540121069360300.87585582013
3Ilya SamsonovSabres2723310.9171.40162626384600111.0004270010
Statistiques d’équipe totales ou en moyenne1431112470.9021.68851223123824260430.7273314382434


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Andrew Poturalski Americans (BUF)C281994-01-14No183 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Andy Welinski Americans (BUF)D291993-04-27No201 Lbs6 ft1NoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien / Lien NHL
Arttu Ruotsalainen Americans (BUF)C/LW/RW241997-10-28Yes185 Lbs5 ft9NoNoNo1Pro & Farm925,000$0$0$NoLien
Chris Terry Americans (BUF)LW/RW331989-04-07No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Christian Djoos Americans (BUF)D271994-08-05No180 Lbs6 ft0NoNoNo1Pro & Farm1,275,000$0$0$NoLien / Lien NHL
Cole Schneider Americans (BUF)LW/RW311990-08-26No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Dalton Smith Americans (BUF)LW291992-06-30No206 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Jon Gillies Americans (BUF)G281994-01-21No223 Lbs6 ft6NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Jonas Johansson Americans (BUF)G261995-09-18Yes220 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Joona Luoto Americans (BUF)LW/RW241997-09-26Yes192 Lbs6 ft3NoNoNo1Pro & Farm758,333$0$0$NoLien / Lien NHL
Keegan Kolesar Americans (BUF)RW251997-04-08Yes217 Lbs6 ft2NoNoNo2Pro & Farm905,000$0$0$No905,000$Lien / Lien NHL
Michael Amadio Americans (BUF)C/RW261996-05-13No204 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Mikey Eyssimont Americans (BUF)C/LW251996-09-09No181 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Remi Elie Americans (BUF)LW271995-04-16No215 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Ross Johnston Americans (BUF)LW281994-02-18No235 Lbs6 ft5NoYesNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Ryan Fitzgerald Americans (BUF)C/LW271994-10-19No172 Lbs5 ft9NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Sean Malone Americans (BUF)C271995-04-30No197 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Taylor Fedun Americans (BUF)D331988-06-04No198 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Turner Elson Americans (BUF)LW/RW291992-09-12No184 Lbs6 ft0NoYesNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Tyler Lewington Americans (BUF)D271994-12-05No189 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.65199 Lbs6 ft12.00814,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan Fitzgerald40122
2Michael AmadioKeegan Kolesar30122
3Remi ElieAndrew PoturalskiTurner Elson20122
4Mikey EyssimontSean Malone10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor FedunChristian Djoos40122
2Andy WelinskiTyler Lewington30122
3Sean MaloneMikey Eyssimont20122
4Taylor FedunChristian Djoos10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan Fitzgerald60122
2Michael AmadioKeegan Kolesar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor FedunChristian Djoos60122
2Andy WelinskiTyler Lewington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Ryan Fitzgerald40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor FedunChristian Djoos60122
2Andy WelinskiTyler Lewington40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Taylor FedunChristian Djoos60122
240122Andy WelinskiTyler Lewington40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Ryan Fitzgerald40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor FedunChristian Djoos60122
2Andy WelinskiTyler Lewington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan FitzgeraldTaylor FedunChristian Djoos
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan FitzgeraldTaylor FedunChristian Djoos
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ross Johnston, Andrew Poturalski, Remi ElieRoss Johnston, Andrew PoturalskiRemi Elie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andy Welinski, Tyler Lewington, Taylor FedunAndy WelinskiTyler Lewington, Taylor Fedun
Tirs de pénalité
, , , Ryan Fitzgerald, Michael Amadio
Gardien
#1 : , #2 : Jonas Johansson
Lignes d’attaque personnalisées en prolongation
, , , Ryan Fitzgerald, Michael Amadio, Andrew Poturalski, Andrew Poturalski, Remi Elie, Sean Malone, Mikey Eyssimont, Keegan Kolesar
Lignes de défense personnalisées en prolongation
Taylor Fedun, Christian Djoos, Andy Welinski, Tyler Lewington,


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
1Admirals4310000013310220000005232110000081760.75013223502158127832105858813805226229376024625.00%16193.75%01541227967.62%976176955.17%860130765.80%257619991457455902515
2Barracudas220000001239110000007071100000053241.0001221330115812783282858813805223371237100.00%6183.33%01541227967.62%976176955.17%860130765.80%257619991457455902515
3Bears2200000016313110000009271100000071641.00016294500158127832988588138052220812428450.00%6183.33%01541227967.62%976176955.17%860130765.80%257619991457455902515
4Bruins22000000523110000002111100000031241.0005813001581278326685881380522271424487228.57%120100.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
5Canucks2020000025-31010000001-11010000024-200.000246001581278323885881380522331316301218.33%7185.71%01541227967.62%976176955.17%860130765.80%257619991457455902515
6Checkers42200000161243210000012481010000048-440.5001627430015812783283858813805226918445919526.32%21290.48%01541227967.62%976176955.17%860130765.80%257619991457455902515
7Comets21100000936110000007071010000023-120.50091625011581278326585881380522311120299333.33%10370.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
8Condors2110000056-1110000004041010000016-520.5005813011581278325485881380522511529379444.44%11281.82%01541227967.62%976176955.17%860130765.80%257619991457455902515
9Crunch2200000015411110000006331100000091841.00015284300158127832858588138052230614416466.67%7271.43%01541227967.62%976176955.17%860130765.80%257619991457455902515
10Eagles2200000015213110000007161100000081741.000152742001581278327485881380522214835600.00%40100.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
11Griffins2020000069-31010000035-21010000034-100.00061016001581278326285881380522371314261317.69%7271.43%01541227967.62%976176955.17%860130765.80%257619991457455902515
12Gulls22000000734110000003121100000042241.000711180015812783250858813805223410163714214.29%8187.50%01541227967.62%976176955.17%860130765.80%257619991457455902515
13Heat201000106601010000023-11000001043120.50069150015812783240858813805225111353514214.29%12466.67%01541227967.62%976176955.17%860130765.80%257619991457455902515
14IceHogs4300010014113220000009722100010054170.8751420340015812783283858813805229126718120630.00%25484.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
15Mariners4310000016792110000053222000000114760.75016294501158127832128858813805227526698716425.00%19573.68%01541227967.62%976176955.17%860130765.80%257619991457455902515
16Marlies22000000853110000005321100000032141.0008162400158127832408588138052249953347457.14%12191.67%01541227967.62%976176955.17%860130765.80%257619991457455902515
17Monsters21100000770110000006421010000013-220.500710171015812783244858813805225710222610330.00%9188.89%01541227967.62%976176955.17%860130765.80%257619991457455902515
18Moose44000000216152200000014592200000071681.0002140610115812783293858813805227417456523521.74%19384.21%11541227967.62%976176955.17%860130765.80%257619991457455902515
19Penguins21100000826110000008171010000001-120.50081321001581278324585881380522571422375120.00%11281.82%01541227967.62%976176955.17%860130765.80%257619991457455902515
20Phantoms22000000514110000003031100000021141.00059140115812783247858813805222471251100.00%60100.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
21Rampage 44000000314272200000018117220000001331081.0003156870215812783219385881380522461434759666.67%16287.50%01541227967.62%976176955.17%860130765.80%257619991457455902515
22Reign430000011165110000003213200000184470.875111627011581278329385881380522561447612000.00%18194.44%01541227967.62%976176955.17%860130765.80%257619991457455902515
23Roadrunners2200000013112110000006061100000071641.0001322350115812783279858813805221536397114.29%30100.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
24Rocket21100000431110000003031010000013-220.5004711011581278324185881380522391336327342.86%10370.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
25Senators21000010862100000104311100000043141.0008111900158127832808588138052241514438337.50%7357.14%01541227967.62%976176955.17%860130765.80%257619991457455902515
26Sound Tigers2200000014212110000007251100000070741.00014264001158127832788588138052225610277114.29%4175.00%11541227967.62%976176955.17%860130765.80%257619991457455902515
27Stars44000000266202200000013310220000001331081.0002645710115812783214385881380522701331747457.14%11281.82%01541227967.62%976176955.17%860130765.80%257619991457455902515
28Thunderbirds2110000069-31010000027-51100000042220.50061016001581278324785881380522319284313215.38%8450.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
29Wild431000001596220000008622110000073460.75015264101158127832125858813805227228226517423.53%11372.73%01541227967.62%976176955.17%860130765.80%257619991457455902515
30Wolf Pack220000001801811000000110111100000070741.00018335102158127832115858813805222156295360.00%30100.00%01541227967.62%976176955.17%860130765.80%257619991457455902515
31Wolves44000000187112200000072522000000115681.00018294700158127832110858813805227321376319631.58%15286.67%01541227967.62%976176955.17%860130765.80%257619991457455902515
Total826216001213701532174134600010199721274128100011117181901300.7933706381008118158127832248685881380522141539984614483439026.24%3345782.93%21541227967.62%976176955.17%860130765.80%257619991457455902515
_Since Last GM Reset826216001213701532174134600010199721274128100011117181901300.7933706381008118158127832248685881380522141539984614483439026.24%3345782.93%21541227967.62%976176955.17%860130765.80%257619991457455902515
_Vs Conference4840500111223801432321200000111367525193001111124468840.8752233816040121581278321452858813805228242384998512065024.27%1943184.02%11541227967.62%976176955.17%860130765.80%257619991457455902515
_Vs Division28283001001484210614151000008025551413200100681751571.01814825840608158127832895858813805224511342544941133228.32%1051585.71%11541227967.62%976176955.17%860130765.80%257619991457455902515

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82130W13706381008248614153998461448118
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8262160121370153
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41346001019972
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
412810011117181
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3439026.24%3345782.93%2
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
85881380522158127832
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
1541227967.62%976176955.17%860130765.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
257619991457455902515


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
2 - 2021-11-1214Wolves1 Americans3BWSommaire du match
4 - 2021-11-1432 Americans7Rampage 0AWSommaire du match
6 - 2021-11-1647Checkers2 Americans6BWSommaire du match
8 - 2021-11-1866IceHogs2 Americans3BWSommaire du match
9 - 2021-11-1976 Americans3Reign0AWSommaire du match
12 - 2021-11-2299Rampage 1 Americans10BWSommaire du match
13 - 2021-11-23110 Americans5Stars0AWSommaire du match
15 - 2021-11-25123 Americans2IceHogs3ALXSommaire du match
16 - 2021-11-26140 Americans8Admirals0AWSommaire du match
18 - 2021-11-28154Mariners3 Americans2BLSommaire du match
20 - 2021-11-30171 Americans5Mariners1AWSommaire du match
21 - 2021-12-01186Stars1 Americans5BWSommaire du match
24 - 2021-12-04208Checkers1 Americans6BWSommaire du match
25 - 2021-12-05226 Americans2Moose1AWSommaire du match
26 - 2021-12-06235 Americans8Wolves3AWSommaire du match
28 - 2021-12-08252Moose2 Americans6BWSommaire du match
29 - 2021-12-09259 Americans6Wild0AWSommaire du match
32 - 2021-12-12282Senators3 Americans4BWXXSommaire du match
35 - 2021-12-15303Penguins1 Americans8BWSommaire du match
37 - 2021-12-17322Reign2 Americans3BWSommaire du match
38 - 2021-12-18334 Americans8Stars3AWSommaire du match
40 - 2021-12-20354Roadrunners0 Americans6BWSommaire du match
41 - 2021-12-21367 Americans0Penguins1ALSommaire du match
44 - 2021-12-24385Moose3 Americans8BWSommaire du match
45 - 2021-12-25399 Americans9Crunch1AWSommaire du match
47 - 2021-12-27415 Americans1Monsters3ALSommaire du match
49 - 2021-12-29430Gulls1 Americans3BWSommaire du match
50 - 2021-12-30444 Americans4Gulls2AWSommaire du match
51 - 2021-12-31459Stars2 Americans8BWSommaire du match
54 - 2022-01-03483Marlies3 Americans5BWSommaire du match
56 - 2022-01-05498 Americans0Admirals1ALSommaire du match
58 - 2022-01-07514Bruins1 Americans2BWSommaire du match
59 - 2022-01-08524 Americans5Moose0AWSommaire du match
61 - 2022-01-10542 Americans1Condors6ALSommaire du match
63 - 2022-01-12556 Americans1Rocket3ALSommaire du match
64 - 2022-01-13569Wolf Pack0 Americans11BWSommaire du match
67 - 2022-01-16591Comets0 Americans7BWSommaire du match
68 - 2022-01-17607 Americans7Wolf Pack0AWSommaire du match
70 - 2022-01-19621IceHogs5 Americans6BWSommaire du match
72 - 2022-01-21637 Americans3IceHogs1AWSommaire du match
73 - 2022-01-22651 Americans2Canucks4ALSommaire du match
74 - 2022-01-23666Condors0 Americans4BWSommaire du match
76 - 2022-01-25685Rocket0 Americans3BWSommaire du match
78 - 2022-01-27702 Americans3Marlies2AWSommaire du match
79 - 2022-01-28715Barracudas0 Americans7BWSommaire du match
81 - 2022-01-30728 Americans2Phantoms1AWSommaire du match
83 - 2022-02-01750Canucks1 Americans0BLSommaire du match
85 - 2022-02-03761 Americans3Wolves2AWSommaire du match
86 - 2022-02-04779 Americans7Roadrunners1AWSommaire du match
88 - 2022-02-06792Admirals0 Americans2BWSommaire du match
90 - 2022-02-08813Wolves1 Americans4BWSommaire du match
92 - 2022-02-10831 Americans3Bruins1AWSommaire du match
94 - 2022-02-12847Heat3 Americans2BLSommaire du match
95 - 2022-02-13857 Americans6Mariners3AWSommaire du match
97 - 2022-02-15876Sound Tigers2 Americans7BWSommaire du match
98 - 2022-02-16889 Americans4Thunderbirds2AWSommaire du match
101 - 2022-02-19910 Americans3Reign1AWSommaire du match
102 - 2022-02-20921Eagles1 Americans7BWSommaire du match
105 - 2022-02-23943Crunch3 Americans6BWSommaire du match
106 - 2022-02-24958 Americans4Senators3AWSommaire du match
108 - 2022-02-26974 Americans2Reign3ALXXSommaire du match
109 - 2022-02-27986Bears2 Americans9BWSommaire du match
112 - 2022-03-021006Thunderbirds7 Americans2BLSommaire du match
113 - 2022-03-031015 Americans4Heat3AWXXSommaire du match
115 - 2022-03-051039Griffins5 Americans3BLSommaire du match
116 - 2022-03-061047 Americans6Rampage 3AWSommaire du match
118 - 2022-03-081071Admirals2 Americans3BWSommaire du match
120 - 2022-03-101088 Americans7Sound Tigers0AWSommaire du match
121 - 2022-03-111093 Americans8Eagles1AWSommaire du match
123 - 2022-03-131113Phantoms0 Americans3BWSommaire du match
126 - 2022-03-161134Rampage 0 Americans8BWSommaire du match
128 - 2022-03-181153 Americans7Bears1AWSommaire du match
129 - 2022-03-191163 Americans3Griffins4ALSommaire du match
130 - 2022-03-201173 Americans4Checkers8ALSommaire du match
131 - 2022-03-211183Mariners0 Americans3BWSommaire du match
134 - 2022-03-241208Checkers1 Americans0BLSommaire du match
135 - 2022-03-251219 Americans5Barracudas3AWSommaire du match
137 - 2022-03-271230 Americans2Comets3ALSommaire du match
139 - 2022-03-291248Monsters4 Americans6BWSommaire du match
142 - 2022-04-011275Wild4 Americans5BWSommaire du match
144 - 2022-04-031286 Americans1Wild3ALSommaire du match
147 - 2022-04-061312Wild2 Americans3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance37,69039,153
Assistance PCT45.96%95.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1874 - 62.47% 91,927$3,769,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,588,572$ 1,628,833$ 1,622,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,006$ 1,688,582$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,087$ 0$




Americans Leaders statistiques (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 (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