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Bills
GP: 3 | W: 0 | L: 3
GF: 3 | GA: 12 | PP%: 0.00% | PK%: 78.95%
DG: Dima | Morale : 94 | Moyenne d’équipe : N/A
Prochains matchs #31 vs White Wolves

Centre de jeu
Bills
0-3-0, 0pts
2
FINAL
3 White Wolves
3-0-0, 6pts
Team Stats
L1SéquenceW3
0-1-0Fiche domicile2-0-0
0-2-0Fiche domicile1-0-0
0-2-1Derniers 10 matchs3-0-0
1.00Buts par match 4.00
4.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique21.05%
78.95%Pourcentage en désavantage numérique100.00%
White Wolves
3-0-0, 6pts
4
FINAL
0 Bills
0-3-0, 0pts
Team Stats
W3SéquenceL1
2-0-0Fiche domicile0-1-0
1-0-0Fiche domicile0-2-0
3-0-0Derniers 10 matchs0-2-1
4.00Buts par match 1.00
1.00Buts contre par match 4.00
21.05%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique78.95%
White Wolves
3-0-0, 6pts
Jour 8
Bills
0-3-0, 0pts
Statistiques d’équipe
W3SéquenceL1
2-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
3-0-010 derniers matchs0-2-1
4.00Buts par match 1.00
1.00Buts contre par match 1.00
21.05%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique78.95%
Bills
0-3-0, 0pts
Jour 10
White Wolves
3-0-0, 6pts
Statistiques d’équipe
L1SéquenceW3
0-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-0-0
0-2-110 derniers matchs3-0-0
1.00Buts par match 4.00
4.00Buts contre par match 4.00
0.00%Pourcentage en avantage numérique21.05%
78.95%Pourcentage en désavantage numérique100.00%
White Wolves
3-0-0, 6pts
Jour 12
Bills
0-3-0, 0pts
Statistiques d’équipe
W3SéquenceL1
2-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
3-0-010 derniers matchs0-2-1
4.00Buts par match 1.00
1.00Buts contre par match 1.00
21.05%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique78.95%
Meneurs d'équipe
Buts
Raivis Ansons
1
Passes
Raivis Ansons
1
Points
Raivis Ansons
2
Plus/Moins
Raivis Ansons
1
Victoires
Adam Werner
0
Pourcentage d’arrêts
Adam Werner
0.885

Statistiques d’équipe
Buts pour
3
1.00 GFG
Tirs pour
71
23.67 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
32.5%
Buts contre
12
4.00 GAA
Tirs contre
85
28.33 Avg
Pourcentage en désavantage numérique
78.9%%
4 GA
Début de la zone défensive
46.9%
Informations de l'équipe

Directeur généralDima
EntraîneurMitch Love
DivisionCentral Division
ConférenceWestern Conference
CapitaineDawson Barteaux
Assistant #1Henrik Rybinski
Assistant #2Aku Raty


Informations de l’aréna

Capacité8,000
Assistance8,000
Billets de saison800


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 65
Espoirs9


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
1Kirill MaksimovXX100.0060606060607070606060606060576408000251716,625$
2Maxim GroshevXX100.0060606060607070606060606060485807000231787,500$
3Parker FordX100.0064508768687584646163647165496105100242682,500$
4Nikita AlexandrovX100.00606060606070706060606060605361075002421,155,000$
5Kyle McDonaldXX100.0060606060607070606060606060485507800223650,000$
6Raivis AnsonsXX100.0060606060607070606060606060485707600223650,000$
7Matvey PetrovXX100.0060606060607070606060606060405506400212735,000$
8Aku Raty (A)XX100.0060606060607070606060606060485807300231735,000$
9Elliot EkmarkX100.0060606060607070606060606060485806500221682,500$
10Isak RosenXX99.00605094736976926761666766654756073002121,575,000$
11Marcel Marcel (R)XX100.0060606060607070606060606060465507700212825,000$
12Matt Copponi (R)X100.0060606060607070606060606060485506800212650,000$
13Ville HeinolaX99.0064509364698176672565657065516106400232950,000$
14Dawson Barteaux (C)X100.0060606060607070606060606060596105700242752,456$
15Santeri HatakkaX100.0060606060607070606060606060505804600231682,500$
16Miska KukkonenX100.0060606060607070606060606060505805300241866,250$
17Andrew PerrottX100.0060606060607070606060606060535807700232650,000$
18Marek AlscherX100.0060606060607070606060606060415607100201975,000$
Rayé
1Henrik Rybinski (A)X100.0060606060607070606060606060525802800231787,500$
2Antti SaarelaXXX100.0060606060607070606060606060525805000231866,250$
3Cameron ButlerXX100.0060606060607070606060606060415602200223650,000$
4Zakhar BardakovX100.0060606060607070606060606060405503101231650,000$
5Cole McWardX100.0060606060607070606060606060405506200233650,000$
6Tomas MachuX100.0060606060607070606060606060405502701212650,000$
7Daniil SobolevX100.0060606060607070606060606060405503501212700,000$
8Aidan HreschukX100.00606060606070706060606060604055037012121,250,000$
MOYENNE D’ÉQUIPE99.926059646161717261596161616147570580
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
1Hunter Jones100.006070706060606060606060536207700241716,625$
2Adam Werner99.0060707060606060606060605764053002711,502,456$
Rayé
1Arsenii Sergeev82.336070706060606060606060405506201221700,000$
MOYENNE D’ÉQUIPE93.67607070606060606060606050600640
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mitch Love6878767962671CAN413600,000$


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
1Raivis AnsonsBills (BUF)LW/RW311210050100810.00%15418.0300016000040066.67%320000.7400000001
2Aku RatyBills (BUF)LW/RW31120753651220.00%25317.770000600001000100.00%201000.7500010000
3Ville HeinolaBills (BUF)D3011000324050%57625.5600006000015000%011000.2600000000
4Nikita AlexandrovBills (BUF)C301101210365320%15016.76000160000110057.50%4010000.4000110000
5Kyle McDonaldBills (BUF)LW/RW3101-3406312338.33%26622.22000060000100050.00%400000.3000000000
6Elliot EkmarkBills (BUF)C3011100104120%04214.1800000000000057.69%2610000.4700000000
7Marcel MarcelBills (BUF)LW/RW3011120632120%04916.410000600000000%030000.4100000000
8Kirill MaksimovBills (BUF)LW/RW3000-320222230%34615.420000000002000%10100000000000
9Maxim GroshevBills (BUF)LW/RW3000000220000%0144.810000000000000%10000000000000
10Parker FordBills (BUF)C3000-300728320%04113.9400000000010030.77%261100000000000
11Dawson BarteauxBills (BUF)D3000-360131100%46521.8000006000014000%01600000000000
12Matvey PetrovBills (BUF)LW/RW3000-320412130%0248.0600000000000050.00%20000000000000
13Santeri HatakkaBills (BUF)D3000-21610324220%15418.300000600004000%00200000020000
14Miska KukkonenBills (BUF)D3000-32010211000%14816.070000000007000%00100000011000
15Andrew PerrottBills (BUF)D3000020353110%26822.9300006000012000%02400000000000
16Isak RosenBills (BUF)LW/RW3000-600484350%37023.66000060000120042.59%542200000000000
17Marek AlscherBills (BUF)D3000-200003010%24715.840000000001000%00000000000000
18Matt CopponiBills (BUF)C3000000001000%000.23000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne54369-25733555467122414.23%2787516.2200026900001110048.13%1601419000.2100151001
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
1Hunter JonesBills (BUF)10000.3336.671800231000003000
2Adam WernerBills (BUF)20110.8853.471210076127000020000
3Arsenii SergeevBills (BUF)10100.8574.39410032110000010000
Statistiques d’équipe totales ou en moyenne40210.8593.981810012853800033000


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
Adam WernerBills (BUF)G271997-05-02SWENo198 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,502,456$858,546$150,246$85,855$No---------------------------
Aidan HreschukBills (BUF)D212003-02-19USANo179 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No1,250,000$--------1,250,000$--------No--------
Aku RatyBills (BUF)LW/RW232001-07-05FINNo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm735,000$420,000$73,500$42,000$No---------------------------
Andrew PerrottBills (BUF)D232001-08-24USANo201 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-28FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$--------650,000$--------No--------
Antti SaarelaBills (BUF)C/LW/RW232001-06-27FINNo187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm866,250$495,000$86,625$49,500$No---------------------------
Arsenii Sergeev (sur la masse salariale)Bills (BUF)G222002-12-16RUSNo192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$400,000$70,000$40,000$No---------------------------
Cameron ButlerBills (BUF)LW/RW222002-06-09CANNo210 Lbs6 ft4NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Cole McWardBills (BUF)D232001-06-09USANo192 Lbs6 ft1NoNoAssign ManuallyNoNo32025-12-07FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Daniil SobolevBills (BUF)D212003-03-03RUSNo214 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$400,000$70,000$40,000$No700,000$--------700,000$--------No--------
Dawson BarteauxBills (BUF)D242000-01-12CANNo187 Lbs6 ft1NoNoN/ANoNo22025-09-13FalseFalsePro & Farm752,456$429,975$75,246$42,998$No752,456$--------752,456$--------No--------
Elliot EkmarkBills (BUF)C222002-01-29SWENo165 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm682,500$390,000$68,250$39,000$No---------------------------
Henrik RybinskiBills (BUF)C232001-06-26CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm787,500$450,000$78,750$45,000$No---------------------------
Hunter JonesBills (BUF)G242000-09-21CANNo194 Lbs6 ft4NoNoN/ANoNo12025-09-13FalseFalsePro & Farm716,625$409,500$71,662$40,950$No---------------------------
Isak RosenBills (BUF)LW/RW212003-03-15SWENo180 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,575,000$900,000$157,500$90,000$No1,575,000$--------1,575,000$--------No--------
Kirill MaksimovBills (BUF)LW/RW251999-06-01RUSNo194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm716,625$409,500$71,662$40,950$No---------------------------
Kyle McDonaldBills (BUF)LW/RW222002-02-05CANNo207 Lbs6 ft4NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Marcel MarcelBills (BUF)LW/RW212003-10-31CZEYes243 Lbs6 ft2NoNoProspectNoNo22025-08-24FalseFalsePro & Farm825,000$471,429$82,500$47,143$No825,000$--------825,000$--------No--------
Marek AlscherBills (BUF)D202004-04-07CZENo190 Lbs7 ft5NoNoN/ANoNo1FalseFalsePro & Farm975,000$557,143$97,500$55,714$No---------------------------
Matt CopponiBills (BUF)C212003-06-04USAYes174 Lbs5 ft9NoNoProspectNoNo22025-08-24FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$--------650,000$--------No--------
Matvey PetrovBills (BUF)LW/RW212003-03-12RUSNo179 Lbs6 ft2NoNoTrade2025-11-17NoNo22025-09-13FalseFalsePro & Farm735,000$420,000$73,500$42,000$No735,000$--------735,000$--------No--------
Maxim GroshevBills (BUF)LW/RW232001-12-14RUSNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm787,500$450,000$78,750$45,000$No---------------------------
Miska KukkonenBills (BUF)D242000-06-19FINNo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$495,000$86,625$49,500$No---------------------------
Nikita AlexandrovBills (BUF)C242000-09-16GERNo177 Lbs6 ft1NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,155,000$660,000$115,500$66,000$No1,155,000$--------1,155,000$--------No--------
Parker FordBills (BUF)C242000-07-20USANo181 Lbs5 ft9NoNoN/ANoNo22025-09-13FalseFalsePro & Farm682,500$390,000$68,250$39,000$No682,500$--------682,500$--------No--------
Raivis AnsonsBills (BUF)LW/RW222002-01-29LATNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-21FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Santeri HatakkaBills (BUF)D232001-01-15FINNo191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm682,500$390,000$68,250$39,000$No---------------------------
Tomas MachuBills (BUF)D212003-03-02CZENo194 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$--------650,000$--------No--------
Ville HeinolaBills (BUF)D232001-03-02FINNo181 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm950,000$542,857$95,000$54,286$No950,000$--------950,000$--------No--------
Zakhar BardakovBills (BUF)C232001-02-24RUSNo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$371,429$65,000$37,143$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2922.62192 Lbs6 ft21.69822,178$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Raivis AnsonsElliot EkmarkMarcel Marcel28122
2Isak RosenParker FordKirill Maksimov28122
3Kyle McDonaldNikita AlexandrovAku Raty25122
4Kyle McDonaldIsak RosenMatvey Petrov19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Santeri HatakkaMarek Alscher32122
2Dawson BarteauxMiska Kukkonen31122
3Andrew PerrottVille Heinola27122
4Andrew PerrottVille Heinola10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aku RatyIsak RosenRaivis Ansons50122
2Marcel MarcelNikita AlexandrovKyle McDonald50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Santeri HatakkaDawson Barteaux50122
2Ville HeinolaAndrew Perrott50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Isak RosenAku Raty50122
2Nikita AlexandrovKyle McDonald50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PerrottMiska Kukkonen50122
2Dawson BarteauxVille Heinola50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nikita Alexandrov50122Ville HeinolaDawson Barteaux50122
2Aku Raty50122Andrew PerrottMarek Alscher50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle McDonaldMarcel Marcel50122
2Nikita AlexandrovIsak Rosen50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew PerrottVille Heinola50122
2Dawson BarteauxMarek Alscher50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle McDonaldIsak RosenMatvey PetrovVille HeinolaDawson Barteaux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marcel MarcelNikita AlexandrovAku RatyVille HeinolaDawson Barteaux
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aku Raty, Isak Rosen, Kyle McDonaldMatvey Petrov, Raivis AnsonsRaivis Ansons
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ville Heinola, Dawson Barteaux, Andrew PerrottVille HeinolaDawson Barteaux, Ville Heinola
Tirs de pénalité
Aku Raty, Raivis Ansons, Nikita Alexandrov, Kyle McDonald, Matvey Petrov
Gardien
#1 : Adam Werner, #2 : Hunter Jones


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
1White Wolves30300000312-91010000004-42020000038-500.00036900012071242522085277355700.00%19478.95%0275251.92%357546.67%153345.45%522060346933
Total30300000312-91010000004-42020000038-500.00036900012071242522085277355700.00%19478.95%0275251.92%357546.67%153345.45%522060346933
_Since Last GM Reset30300000312-91010000004-42020000038-500.00036900012071242522085277355700.00%19478.95%0275251.92%357546.67%153345.45%522060346933
_Vs Conference30300000312-91010000004-42020000038-500.00036900012071242522085277355700.00%19478.95%0275251.92%357546.67%153345.45%522060346933
_Vs Division30300000312-91010000004-42020000038-500.00036900012071242522085277355700.00%19478.95%0275251.92%357546.67%153345.45%522060346933

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
30L1369718527735500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3030000312
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000004
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000038
Derniers 10 matchs
WLOTWOTL SOWSOL
020100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
700.00%19478.95%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
24252200120
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
275251.92%357546.67%153345.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
522060346933


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
27Bills1White Wolves5LSommaire du match
415Bills2White Wolves3LXSommaire du match
623White Wolves4Bills0LSommaire du match
831White Wolves-Bills-
1039Bills-White Wolves-
1247White Wolves-Bills-
1455Bills-White Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets2710
Assistance2,5005,500
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 8000 - 100.00% 147,000$147,000$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,314,316$ 2,314,316$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 28 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




Bills 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

Bills 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

Bills 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

Bills 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

Bills 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