Connexion

Americans
GP: 6 | W: 2 | L: 4
GF: 11 | GA: 20 | PP%: 33.33% | PK%: 82.35%
DG: Jurgen Aagaard | Morale : 37 | Moyenne d’équipe : 60
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Centre de jeu
Bears
4-6-0, 8pts
3
FINAL
2 Americans
2-4-0, 4pts
Team Stats
L4SéquenceL4
3-2-0Fiche domicile2-1-0
1-4-0Fiche domicile0-3-0
4-4-2Derniers 10 matchs2-4-0
2.70Buts par match 1.83
2.70Buts contre par match 3.33
10.71%Pourcentage en avantage numérique33.33%
57.89%Pourcentage en désavantage numérique82.35%
Americans
2-4-0, 4pts
4
FINAL
8 Bears
4-6-0, 8pts
Team Stats
L4SéquenceL4
2-1-0Fiche domicile3-2-0
0-3-0Fiche domicile1-4-0
2-4-0Derniers 10 matchs4-4-2
1.83Buts par match 2.70
3.33Buts contre par match 2.70
33.33%Pourcentage en avantage numérique10.71%
82.35%Pourcentage en désavantage numérique57.89%
Meneurs d'équipe
Ryan SchmelzerButs
Ryan Schmelzer
3
Jansen HarkinsPasses
Jansen Harkins
4
Points
Kaapo Kakko
5
Plus/Moins
Ryan Shea
2

Statistiques d’équipe
Buts pour
11
1.83 GFG
Tirs pour
123
20.50 Avg
Pourcentage en avantage numérique
33.3%
4 GF
Début de zone offensive
30.4%
Buts contre
20
3.33 GAA
Tirs contre
148
24.67 Avg
Pourcentage en désavantage numérique
82.4%%
3 GA
Début de la zone défensive
37.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,917
Billets de saison1,500


Informations de la formation

Équipe Pro35
Équipe Mineure21
Limite contact 56 / 100
Espoirs62


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
1Kaapo KakkoX100.0062428983776589735464756263707165906902422,166,000$
2Nicolas DeslauriersX100.0097995873845187643658575925777858916403411,000,000$
3Austin CzarnikXX100.0067419080595188667056586425686859886303211,000,000$
4Jansen HarkinsX100.0081568769685179672562566975676860896302811,000,000$
5Angus CrookshankX100.008044917266568369256270622548486590630262838,333$
6Steven FogartyXX100.0079797765797883617556646559494962906303211,000,000$
7Ryan SchmelzerX100.0074708564708085648064636258474762896303111,000,000$
8Tanner KeroXX100.0075688863687680637661616755616160906303211,000,000$
9Lukas RousekX100.006040997063578459265955592548485891580261920,253$
10Alexander TrueX100.0078788265786164516654456244474753875702712,999,000$
11Spencer StastneyX100.005640947767688162255050832549495986660252925,000$
12Christian WolaninX100.0075708565706770592556446840626254696303011,000,000$
13Maxence Guenette (R)X100.007874906977798557255345644348475587630241889,682$
14Matt IrwinX100.0078758563737279502538426839727252876303711,000,000$
15Connor CarrickX100.0070697565697682562547466544666657396203111,000,000$
16Ryan SheaX100.0070429463666078632539487825494956876202811,000,000$
17Aaron NessX100.0071658965657784502545415939474752875903512,999,000$
18Ethan ProwX100.0074669765667076502544416039464653795803212,999,000$
Rayé
1Jagger JoshuaX100.0073756565756568555050566053464656705702612,999,000$
2Patrick KhodorenkoX100.0076748059746669546957476246454556355702612,999,000$
3Graham SlaggertX100.0074708466706670516445536150444457205602612,999,000$
4Erik MiddendorfX100.0077719166715454555050566353444459195602412,999,000$
5Jon-Randall Avon (R)X100.0074679060676568536647546151444458205502112,999,000$
6Jacob Gaucher (R)X100.0076708961706265526547536250444458205502412,999,000$
7Jacob Melanson (R)X100.007175616075636750504747594544445320540221750,000$
8Dominic FrancoXX100.0073825665826468486146455944454552205402912,999,000$
9Emil Martinsen Lilleberg (R)X100.009346887873697265255451812550506060680242870,000$
10Joseph DuszakX100.006766736066656757255048604746465541570271750,000$
11Marshall RifaiX100.0062606667607480502546405538444452195602712,999,000$
12Tyson Hinds (R)X100.007268826168667246253640593844445120550221750,000$
13Jake MassieX100.0073669065665455502545416039444453205502812,999,000$
14Brandon HickeyX100.0079758765754950472537426240444452205502912,999,000$
MOYENNE D’ÉQUIPE100.00746583677165745742515164435252576060
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
1Drew Commesso (R)100.00614759716670616771663046465988620223925,000$
2Troy Grosenick100.005947597364665864686630454560906103511,000,000$
Rayé
1Jeremy Brodeur100.005947596864665864686630454560666002611,000,000$
MOYENNE D’ÉQUIPE100.0060475971656759656966304545608161
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Woodcroft80808080808080CAN381750,000$


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
1Kaapo KakkoAmericans (BUF)RW6235-26069298106.90%314223.781124110001111031.82%2245000.7000000010
2Austin CzarnikAmericans (BUF)C/RW6134-30091313587.69%212821.4800000000060052.73%11033000.6200000000
3Jansen HarkinsAmericans (BUF)LW6044-40061214680%312621.1502218000010000%612000.6300000000
4Ryan SchmelzerAmericans (BUF)C6314-500109131523.08%112120.3120238000051071.11%4512000.6600000200
5Spencer StastneyAmericans (BUF)D6123-12042314327.14%615726.28022113000014000%005000.3801000001
6Angus CrookshankAmericans (BUF)LW6213-6008760233.33%210717.84112211000050026.32%1921000.5600000001
7Aaron NessAmericans (BUF)D6011-120531000%39415.780000100001000%011000.2100000000
8Nicolas DeslauriersAmericans (BUF)RW6101-62610171252820.00%111118.660000800000000%200000.1800100010
9Ryan SheaAmericans (BUF)D601120072010220%1016126.89000013000015000%025000.1200000010
10Tanner KeroAmericans (BUF)C/LW610112061584112.50%213422.360000110001140066.67%643000.1500000000
11Christian WolaninAmericans (BUF)D6000-240140000%1538.870000000001000%01200000000000
12Ethan ProwAmericans (BUF)D6000000020000%1193.310000000000000%00100000000000
13Connor CarrickAmericans (BUF)D6000000000000%040.740000000000000%00000000000000
14Lukas RousekAmericans (BUF)RW6000000351000%0508.390000000000000%10000000000000
15Steven FogartyAmericans (BUF)C/RW6000-160273100%0569.4500000000020066.67%120000000000000
16Maxence GuenetteAmericans (BUF)D6000-855365100%612621.1400006000012000%01200000100000
17Alexander TrueAmericans (BUF)C6000-400631000%06510.9300000000000052.94%170200000000000
18Matt IrwinAmericans (BUF)D6000-1000850100%1014123.5800007000013000%01400000000000
Statistiques d’équipe totales ou en moyenne108111627-50531510115512334468.94%51180516.7246101110200021172051.25%2402138000.3001200232
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
1Drew CommessoAmericans (BUF)62300.8583.20300021611361000060100
2Troy GrosenickAmericans (BUF)20100.8863.69650043521100006000
Statistiques d’équipe totales ou en moyenne82400.8653.2836602201488210066100


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aaron NessAmericans (BUF)D351990-05-18USANo183 Lbs5 ft10NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien / Lien NHL
Alexander TrueAmericans (BUF)C271997-07-17DENNo200 Lbs6 ft5NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Angus CrookshankAmericans (BUF)LW261999-02-10BCNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm838,333$0$0$No838,333$--------838,333$--------No--------Lien
Austin CzarnikAmericans (BUF)C/RW321992-12-11USANo169 Lbs5 ft9NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Brandon HickeyAmericans (BUF)D291996-04-13ABNo201 Lbs6 ft2NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien / Lien NHL
Christian WolaninAmericans (BUF)D301995-03-17QUENo185 Lbs6 ft2NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Connor CarrickAmericans (BUF)D311994-04-13USANo192 Lbs5 ft11NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Dominic FrancoAmericans (BUF)C/RW291996-01-07USANo218 Lbs6 ft5NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Drew CommessoAmericans (BUF)G222002-07-19USAYes181 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Emil Martinsen LillebergAmericans (BUF)D242001-02-02NORYes185 Lbs6 ft2NoNoTrade2025-01-22NoNo2FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------
Erik MiddendorfAmericans (BUF)LW242000-07-11USANo190 Lbs6 ft1NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Ethan ProwAmericans (BUF)D321992-11-17USANo182 Lbs5 ft11NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Graham SlaggertAmericans (BUF)C261999-04-06USANo194 Lbs6 ft0NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Jacob GaucherAmericans (BUF)C242001-03-09QUEYes181 Lbs6 ft3NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Jacob MelansonAmericans (BUF)RW222003-04-22NSYes205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Jagger JoshuaAmericans (BUF)LW261999-03-29USANo201 Lbs6 ft2NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Jake MassieAmericans (BUF)D281997-01-21QUENo179 Lbs6 ft1NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Jansen HarkinsAmericans (BUF)LW281997-05-23USANo183 Lbs6 ft1NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jeremy BrodeurAmericans (BUF)G261998-10-29USANo185 Lbs6 ft0NoNoAssign ManuallyNoNo12024-10-22FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Jon-Randall AvonAmericans (BUF)C212003-07-04ONTYes180 Lbs6 ft0NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Joseph DuszakAmericans (BUF)D271997-07-22USANo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Kaapo KakkoAmericans (BUF)RW242001-02-13FINNo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm2,166,000$0$0$No2,166,000$--------2,166,000$--------No--------Lien
Lukas RousekAmericans (BUF)RW261999-04-20CZENo174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm920,253$0$0$No---------------------------Lien
Marshall RifaiAmericans (BUF)D271998-03-16QUENo161 Lbs5 ft11NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Matt IrwinAmericans (BUF)D371987-11-29BCNo207 Lbs6 ft1NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Maxence GuenetteAmericans (BUF)D242001-04-28QUEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm889,682$0$0$No---------------------------Lien
Nicolas DeslauriersAmericans (BUF)RW341991-02-22QUENo218 Lbs6 ft3NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Patrick KhodorenkoAmericans (BUF)C261998-10-13USANo207 Lbs6 ft0NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Ryan SchmelzerAmericans (BUF)C311993-07-28USANo187 Lbs6 ft2NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Ryan SheaAmericans (BUF)D281997-02-11USANo176 Lbs6 ft1NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Spencer StastneyAmericans (BUF)D252000-04-01USANo180 Lbs5 ft10NoNoTrade2024-12-13NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Steven FogartyAmericans (BUF)C/RW321993-04-19USANo210 Lbs6 ft3NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Tanner KeroAmericans (BUF)C/LW321992-07-24USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Troy GrosenickAmericans (BUF)G351989-08-27USANo190 Lbs6 ft1NoNoTrade2025-01-20NoNo12024-11-27FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Tyson HindsAmericans (BUF)D222003-03-12QUEYes179 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3527.77189 Lbs6 ft11.171,736,322$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner KeroAustin CzarnikKaapo Kakko40122
2Jansen HarkinsRyan SchmelzerNicolas Deslauriers30122
3Angus CrookshankAustin CzarnikKaapo Kakko20122
4Jansen HarkinsAlexander TrueAustin Czarnik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaSpencer Stastney40122
2Maxence GuenetteMatt Irwin30122
3Ryan SheaAaron Ness20122
4Matt IrwinSpencer Stastney10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner KeroAngus CrookshankKaapo Kakko60122
2Jansen HarkinsRyan SchmelzerNicolas Deslauriers40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaSpencer Stastney60122
2Maxence GuenetteMatt Irwin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kaapo KakkoTanner Kero60122
2Ryan SchmelzerJansen Harkins40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaSpencer Stastney60122
2Maxence GuenetteMatt Irwin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jansen Harkins60122Aaron NessSpencer Stastney60122
2Ryan Schmelzer40122Maxence GuenetteMatt Irwin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kaapo KakkoTanner Kero60122
2Ryan SchmelzerJansen Harkins40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SheaSpencer Stastney60122
2Maxence GuenetteMatt Irwin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner KeroJansen HarkinsKaapo KakkoMaxence GuenetteSpencer Stastney
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner KeroJansen HarkinsKaapo KakkoMaxence GuenetteSpencer Stastney
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jansen Harkins, Angus Crookshank, Ryan SchmelzerJansen Harkins, Angus CrookshankJansen Harkins
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Irwin, Ryan Shea, Aaron NessMatt IrwinMatt Irwin, Ryan Shea
Tirs de pénalité
Kaapo Kakko, Nicolas Deslauriers, Ryan Schmelzer, Tanner Kero, Jansen Harkins
Gardien
#1 : Drew Commesso, #2 : Troy Grosenick


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
1Bears624000001120-93210000043130300000717-1040.3331116270242321234132446148515310112433.33%17382.35%0327343.84%499153.85%427655.26%96331266714474
Total624000001120-93210000043130300000717-1040.3331116270242321234132446148515310112433.33%17382.35%0327343.84%499153.85%427655.26%96331266714474
_Since Last GM Reset624000001120-93210000043130300000717-1040.3331116270242321234132446148515310112433.33%17382.35%0327343.84%499153.85%427655.26%96331266714474
_Vs Conference624000001120-93210000043130300000717-1040.3331116270242321234132446148515310112433.33%17382.35%0327343.84%499153.85%427655.26%96331266714474
_Vs Division600000001120-93000000043130000000717-1000.0001116270242321234132446148515310112433.33%17382.35%0327343.84%499153.85%427655.26%96331266714474

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L4111627123148515310102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000043
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000717
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12433.33%17382.35%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
41324464232
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
327343.84%499153.85%427655.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
96331266714474


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
25Bears0Americans1WXSommaire du match
413Bears0Americans1WXSommaire du match
621Americans1Bears4LSommaire du match
829Americans2Bears5LSommaire du match
1037Bears3Americans2LSommaire du match
1245Americans4Bears8LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2615
Assistance6,0002,751
Assistance PCT100.00%91.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
43 2917 - 97.23% 97,975$293,925$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 6,077,126$ 6,077,126$ 750,000$0$
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$ 0 0$ 0$




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