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Connexion

Americans
GP: 18 | W: 14 | L: 3 | OTL: 1 | P: 29
GF: 88 | GA: 32 | PP%: 17.33% | PK%: 89.36%
DG: Jason | Morale : 50 | Moyenne d’équipe : 59
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Centre de jeu
Gulls
9-8-1, 19pts
0
FINAL
4 Americans
14-3-1, 29pts
Team Stats
L2StreakSOL1
4-5-0Home Record6-2-1
5-3-1Away Record8-1-0
5-4-1Last 10 Games7-2-1
3.06Buts par match 4.89
3.72Buts contre par match 1.78
8.33%Pourcentage en avantage numérique17.33%
86.67%Pourcentage en désavantage numérique89.36%
Condors
15-1-2, 32pts
4
FINAL
3 Americans
14-3-1, 29pts
Team Stats
SOW1StreakSOL1
7-1-1Home Record6-2-1
8-0-1Away Record8-1-0
9-0-1Last 10 Games7-2-1
5.72Buts par match 4.89
1.89Buts contre par match 1.78
21.74%Pourcentage en avantage numérique17.33%
85.71%Pourcentage en désavantage numérique89.36%
Meneurs d'équipe
Buts
David Gust
25
Nick DeSimonePasses
Nick DeSimone
15
Points
David Gust
37
Plus/Moins
David Gust
28
Victoires
Arturs Silovs
14
Pourcentage d’arrêts
Arturs Silovs
0.894

Statistiques d’équipe
Buts pour
88
4.89 GFG
Tirs pour
617
34.28 Avg
Pourcentage en avantage numérique
17.3%
13 GF
Début de zone offensive
47.2%
Buts contre
32
1.78 GAA
Tirs contre
288
16.00 Avg
Pourcentage en désavantage numérique
89.4%%
10 GA
Début de la zone défensive
31.3%
Informations de l'équipe

Directeur généralJason
EntraîneurMike Yeo
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs29


Historique d'équipe

Saison actuelle14-3-1 (29PTS)
Historique0-0-0
Coupe Stanley0


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
1Sam CarrickXX100.008799647075628469885864832564646950670322775,000$
2David GustX100.006763776663798267506267646453536750630302775,000$
3Justin DowlingXX100.007265887065717364806160675758586450630343775,000$
4Aku RatyX100.007570876570656564506362655944446550610233925,000$
5Ross JohnstonX100.0085995468925161634454556325616160506003021,100,000$
6Pierrick Dube (R)X100.006661776661717363505667606444446450600231525,000$
7Justin Sourdif (R)X100.006563706563697161766058595544446150590223902,500$
8Lucas CondottaXX100.007876816376798651644751634844445850580272775,000$
9Sebastian AhoDX100.006942927363698266255048722562636150650273825,000$
10Jacob MacDonaldX100.007764806775596673314561687562626450640311775,000$
11Nick DeSimoneX100.007343956970627361255148692547476050620292775,000$
12Dylan McIlrathX100.007990546390738047253541653956565350610322800,000$
13Declan CarlileX100.007469877069768252254743614144445650600241525,000$
14Max CrozierX100.0073727560726062522549417539444453506002421,000,000$
15Matthew Robertson (R)X100.007877796577737950254341633944445550600232896,667$
16Brandon ScanlinX100.008180826180727849253646644444445550600251525,000$
17Nikolas MatinpaloX100.008077876377667247253741633944445350590261885,000$
Rayé
1Luke PhilpX100.007265896365565754684756615344445850560282775,000$
2Joel TeasdaleXX100.007570886570727948504447614544445650560252775,000$
3Ondrej PavelXXX100.007673826373646948604347614544445450550242870,000$
4Cameron Butler (R)X100.007377636477606448504645604344445350540223858,333$
5Marshall RifaiX100.006260666760748050254640553844445250570261525,000$
6Alex Kannok LeipertX100.007070716570566044253439573744444950540242800,000$
MOYENNE D’ÉQUIPE100.00747178667267735644485164454949585060
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
1Arturs Silovs (R)100.00565670835762536060593044445850590232796,111$
2Matthew Murray100.00505164454951505550503044445050500262800,000$
Rayé
MOYENNE D’ÉQUIPE100.0053546764535752585555304444545055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo65677068716678CAN482925,000$


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
1David Gust Americans (BUF)RW182512372880193094254726.60%438621.4661716560003405168.25%6300021.9200000542
2Sam Carrick Americans (BUF)C/RW18181331232205845104276517.31%438521.431566471016603172.98%43300011.6101000431
3Pierrick Dube Americans (BUF)RW15109191520102064144215.63%025016.73000517000001047.62%2100001.5100000311
4Nick DeSimone Americans (BUF)D1811516122077104910.00%1033918.87011243000070000.00%000000.9400000002
5Lucas Condotta Americans (BUF)C/LW18781519160322442102816.67%332217.93000190000311066.99%20900010.9300000113
6Jacob MacDonald Americans (BUF)D15771415180421130101223.33%731721.145051746000057100.00%000000.8800000030
7Ross Johnston Americans (BUF)LW1865119601053155153211.76%229516.440114350001270058.54%4100000.7400011010
8Matthew Robertson Americans (BUF)D18110111811532713787.69%226914.9600000000000128.57%700000.8200010110
9Sebastian AhoD Americans (BUF)D15191015220185276183.70%732121.460331348000159000.00%000000.6200000001
10Aku Raty Americans (BUF)RW152793608214321244.65%228418.990226430002390086.67%1500000.6300000001
11Justin Sourdif Americans (BUF)C153692408232781911.11%024816.53112343000080066.09%23300000.7300000001
12Justin Dowling Americans (BUF)C/LW152681940418479304.26%235823.930118440005651080.00%2500000.4501000001
13Max Crozier Americans (BUF)D15347980221273242.86%620213.530001500002110100.00%100000.6900000001
14Dylan McIlrath Americans (BUF)D181561222051791411.11%833418.60000244000164100.00%000000.3600000010
15Declan Carlile Americans (BUF)D1505510401433340.00%519312.8800000011029000.00%000000.5200000000
16Joel Teasdale Americans (BUF)LW/RW1011100005360.00%01616.380000100001000.00%000001.2200000000
17Brandon Scanlin Americans (BUF)D1501121001615050.00%21016.740000000000000.00%000000.2000000000
18Nikolas Matinpalo Americans (BUF)D15000020211020.00%2342.280001700006000.00%200000.00%00000000
19Luke Philp Americans (BUF)C1000000015020.00%055.03000000000000100.00%700000.00%00000000
Statistiques d’équipe totales ou en moyenne278871232102122211539625158715635914.82%66466816.79131528854951121958414369.06%105700040.9002021141514
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
1Arturs Silovs Americans (BUF)1814310.8941.69106745302830200.3333183100
2Matthew Murray Americans (BUF)10000.8003.531700150000.00%0015000
Statistiques d’équipe totales ou en moyenne1914310.8921.711085453128802031818100


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
Aku Raty Americans (BUF)RW232001-07-05No190 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Alex Kannok Leipert Americans (BUF)D242000-07-20No194 Lbs6 ft0YesNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Arturs Silovs Americans (BUF)G232001-03-21Yes202 Lbs6 ft4NoNoNo2Pro & Farm796,111$796,111$0$0$No796,111$Lien
Brandon Scanlin Americans (BUF)D251999-06-02No213 Lbs6 ft4NoNoNo1Pro & Farm525,000$525,000$0$0$NoLien
Cameron Butler Americans (BUF)RW222002-06-09Yes202 Lbs6 ft4NoNoNo3Pro & Farm858,333$858,333$0$0$No858,333$858,333$Lien
David Gust Americans (BUF)RW301994-02-21No175 Lbs5 ft10NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Declan Carlile Americans (BUF)D242000-05-18No189 Lbs6 ft1NoNoNo1Pro & Farm525,000$525,000$0$0$NoLien
Dylan McIlrath Americans (BUF)D321992-04-20No231 Lbs6 ft5NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Jacob MacDonald Americans (BUF)D311993-02-26No205 Lbs6 ft0NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Joel Teasdale Americans (BUF)LW/RW251999-03-11No196 Lbs5 ft11NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Justin Dowling Americans (BUF)C/LW341990-10-01No180 Lbs5 ft10NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
Justin Sourdif Americans (BUF)C222002-03-24Yes172 Lbs5 ft11NoNoNo3Pro & Farm902,500$902,500$0$0$No902,500$902,500$Lien
Lucas Condotta Americans (BUF)C/LW271997-06-11No209 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Luke Philp Americans (BUF)C281995-11-06No180 Lbs5 ft10NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Marshall Rifai Americans (BUF)D261998-03-16No161 Lbs5 ft11NoNoNo1Pro & Farm525,000$525,000$0$0$NoLien
Matthew Murray Americans (BUF)G261998-02-02No170 Lbs5 ft2NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Matthew Robertson Americans (BUF)D232001-03-09Yes202 Lbs6 ft4NoNoNo2Pro & Farm896,667$896,667$0$0$No896,667$Lien
Max Crozier Americans (BUF)D242000-04-19No192 Lbs6 ft2YesNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien
Nick DeSimone Americans (BUF)D291994-11-21No189 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Nikolas Matinpalo Americans (BUF)D261998-10-05No207 Lbs6 ft3NoNoNo1Pro & Farm885,000$885,000$0$0$NoLien
Ondrej Pavel Americans (BUF)C/LW/RW242000-08-29No198 Lbs6 ft2NoNoNo2Pro & Farm870,000$870,000$0$0$No870,000$Lien
Pierrick Dube Americans (BUF)RW232001-01-07Yes172 Lbs5 ft9NoNoNo1Pro & Farm525,000$525,000$0$0$NoLien
Ross Johnston Americans (BUF)LW301994-02-18No235 Lbs6 ft5NoNoNo2Pro & Farm1,100,000$1,100,000$0$0$No1,100,000$Lien / Lien NHL
Sam Carrick Americans (BUF)C/RW321992-02-04No196 Lbs6 ft0NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Sebastian AhoD Americans (BUF)D271997-02-17No176 Lbs6 ft0NoNoNo3Pro & Farm825,000$825,000$0$0$No825,000$825,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.40193 Lbs6 ft11.96790,344$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin DowlingSam CarrickDavid Gust40122
2Ross JohnstonJustin SourdifAku Raty30122
3Matthew RobertsonLucas CondottaPierrick Dube20122
4Justin DowlingSam CarrickDavid Gust10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastian AhoDJacob MacDonald40122
2Nick DeSimoneDylan McIlrath30122
3Declan CarlileMax Crozier20122
4Matthew RobertsonBrandon Scanlin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin DowlingSam CarrickDavid Gust60122
2Ross JohnstonJustin SourdifAku Raty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastian AhoDJacob MacDonald60122
2Nick DeSimoneDylan McIlrath40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam CarrickJustin Dowling60122
2David GustAku Raty40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastian AhoDJacob MacDonald60122
2Nick DeSimoneDylan McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Carrick60122Sebastian AhoDJacob MacDonald60122
2Justin Dowling40122Nick DeSimoneDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam CarrickJustin Dowling60122
2David GustAku Raty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastian AhoDJacob MacDonald60122
2Nick DeSimoneDylan McIlrath40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin DowlingSam CarrickDavid GustSebastian AhoDJacob MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin DowlingSam CarrickDavid GustSebastian AhoDJacob MacDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierrick Dube, Lucas Condotta, Ross JohnstonPierrick Dube, Lucas CondottaRoss Johnston
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolas Matinpalo, Declan Carlile, Max CrozierNikolas MatinpaloDeclan Carlile, Max Crozier
Tirs de pénalité
Sam Carrick, Justin Dowling, David Gust, Aku Raty, Pierrick Dube
Gardien
#1 : Arturs Silovs, #2 : Matthew Murray
Lignes d’attaque personnalisées en prolongation
Sam Carrick, Justin Dowling, David Gust, Aku Raty, Pierrick Dube, Ross Johnston, Ross Johnston, Justin Sourdif, Lucas Condotta, ,
Lignes de défense personnalisées en prolongation
Sebastian AhoD, Jacob MacDonald, Nick DeSimone, Dylan McIlrath, Declan Carlile


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
1Barracuda220000001239110000004131100000082641.000121830003332221622102091946391412438337.50%50100.00%039958468.32%23438760.47%16626562.64%576437306103202115
2Bruins1010000023-1000000000001010000023-100.00023500333222127210209194614214225120.00%7271.43%039958468.32%23438760.47%16626562.64%576437306103202115
3Condors200010014401000000134-11000100010130.7504610013332221462102091946381041441218.33%13192.31%039958468.32%23438760.47%16626562.64%576437306103202115
4Eagles22000000853110000003211100000053241.00081422003332221372102091946371437367114.29%15380.00%139958468.32%23438760.47%16626562.64%576437306103202115
5Gulls22000000927110000004041100000052341.00091625013332221116210209194622102643300.00%80100.00%039958468.32%23438760.47%16626562.64%576437306103202115
6Ice Hogs11000000808110000008080000000000021.00081523013332221482102091946101840100.00%40100.00%039958468.32%23438760.47%16626562.64%576437306103202115
7Moose1010000013-21010000013-20000000000000.00012300333222116210209194616518274125.00%9188.89%039958468.32%23438760.47%16626562.64%576437306103202115
8Reign22000000844110000004221100000042241.00081321003332221462102091946395233019210.53%90100.00%039958468.32%23438760.47%16626562.64%576437306103202115
9Roadrunners22000000181171100000010191100000080841.000182745013332221104210209194628118564375.00%90100.00%039958468.32%23438760.47%16626562.64%576437306103202115
10Thunderbirds11000000909000000000001100000090921.0009152401333222159210209194621824100.00%40100.00%039958468.32%23438760.47%16626562.64%576437306103202115
11Wranglers211000009721010000036-31100000061520.50091625003332221562102091946431022431119.09%11372.73%039958468.32%23438760.47%16626562.64%576437306103202115
Total18133010018832569620000140192197101000481335290.80688145233053332221617210209194628873227408751317.33%941089.36%139958468.32%23438760.47%16626562.64%576437306103202115
_Since Last GM Reset18133010018832569620000140192197101000481335290.80688145233053332221617210209194628873227408751317.33%941089.36%139958468.32%23438760.47%16626562.64%576437306103202115
_Vs Conference17132010018629579620000140192187001000461036290.85386142228053332221590210209194627471213386701217.14%87890.80%139958468.32%23438760.47%16626562.64%576437306103202115
_Vs Division72100000449354110000022616310000002231940.2864473117033332221264210209194693228918317529.41%41490.24%139958468.32%23438760.47%16626562.64%576437306103202115

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1829SOL1881452336172887322740805
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1813310018832
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96200014019
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
97110004813
Derniers 10 matchs
WLOTWOTL SOWSOL
621001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
751317.33%941089.36%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
21020919463332221
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
39958468.32%23438760.47%16626562.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
576437306103202115


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
1 - 2024-09-235Roadrunners1 Americans10BWSommaire du match
2 - 2024-09-2421 Americans6Wranglers1AWSommaire du match
4 - 2024-09-2641 Americans8Barracuda2AWSommaire du match
5 - 2024-09-2754 Americans9Thunderbirds0AWSommaire du match
6 - 2024-09-2860Ice Hogs0 Americans8BWSommaire du match
7 - 2024-09-2981 Americans5Gulls2AWSommaire du match
8 - 2024-09-3089Reign2 Americans4BWSommaire du match
10 - 2024-10-02117Moose3 Americans1BLSommaire du match
11 - 2024-10-03129 Americans2Bruins3ALSommaire du match
12 - 2024-10-04139 Americans1Condors0AWXSommaire du match
13 - 2024-10-05157Wranglers6 Americans3BLSommaire du match
14 - 2024-10-06176 Americans5Eagles3AWSommaire du match
16 - 2024-10-08188Eagles2 Americans3BWSommaire du match
17 - 2024-10-09202 Americans4Reign2AWSommaire du match
18 - 2024-10-10222Barracuda1 Americans4BWSommaire du match
19 - 2024-10-11234 Americans8Roadrunners0AWSommaire du match
22 - 2024-10-14253Gulls0 Americans4BWSommaire du match
25 - 2024-10-17285Condors4 Americans3BLXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,975,861$ 1,975,861$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 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