Please rotate your device to landscape mode for a better experience.
Connexion

Bulldogs
GP: 3 | W: 3 | L: 0 | OTL: 0 | P: 6
GF: 14 | GA: 11 | PP%: 50.00% | PK%: 78.26%
DG: Rico | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #59 vs Bills

Centre de jeu
Bulldogs
3-0-0, 6pts
6
FINAL
5 White Wolves
1-2-1, 3pts
Team Stats
W3SéquenceL2
2-0-0Fiche domicile0-1-1
1-0-0Fiche domicile1-1-0
3-0-0Derniers 10 matchs1-2-1
4.67Buts par match 4.75
3.67Buts contre par match 5.00
50.00%Pourcentage en avantage numérique33.33%
78.26%Pourcentage en désavantage numérique66.67%
Wolves
1-2-1, 3pts
4
FINAL
5 Bulldogs
3-0-0, 6pts
Team Stats
OTL1SéquenceW3
0-1-0Fiche domicile2-0-0
1-1-1Fiche domicile1-0-0
1-2-1Derniers 10 matchs3-0-0
4.00Buts par match 4.67
5.00Buts contre par match 3.67
22.22%Pourcentage en avantage numérique50.00%
68.18%Pourcentage en désavantage numérique78.26%
Bulldogs
3-0-0, 6pts
Jour 8
Bills
2-1-0, 4pts
Statistiques d’équipe
W3SéquenceW2
2-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur1-1-0
3-0-010 derniers matchs2-1-0
4.67Buts par match 5.67
3.67Buts contre par match 5.67
50.00%Pourcentage en avantage numérique30.00%
78.26%Pourcentage en désavantage numérique41.67%
Crunch
2-1-0, 4pts
Jour 10
Bulldogs
3-0-0, 6pts
Statistiques d’équipe
W2SéquenceW3
1-0-0Fiche domicile2-0-0
1-1-0Fiche visiteur1-0-0
2-1-010 derniers matchs3-0-0
3.67Buts par match 4.67
2.67Buts contre par match 4.67
40.00%Pourcentage en avantage numérique50.00%
55.56%Pourcentage en désavantage numérique78.26%
Bulldogs
3-0-0, 6pts
Jour 11
Blood Miners
0-3-0, 0pts
Statistiques d’équipe
W3SéquenceL3
2-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
3-0-010 derniers matchs0-3-0
4.67Buts par match 2.33
3.67Buts contre par match 2.33
50.00%Pourcentage en avantage numérique18.18%
78.26%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Mikael Pyyhtia
4
Passes
Nicolas Aube-Kubel
4
Points
Nicolas Aube-Kubel
6
Plus/Moins
Nicolas Aube-Kubel
4
Victoires
Colten Ellis
2
Pourcentage d’arrêts
Colten Ellis
0.855

Statistiques d’équipe
Buts pour
14
4.67 GFG
Tirs pour
115
38.33 Avg
Pourcentage en avantage numérique
50.0%
5 GF
Début de zone offensive
32.5%
Buts contre
11
3.67 GAA
Tirs contre
101
33.67 Avg
Pourcentage en désavantage numérique
78.3%%
5 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralRico
EntraîneurKirk MacDonald
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,589
Billets de saison800


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 65
Espoirs19


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
1Nicolas Aube-KubelXX100.0074568764807681686565666965616409900281800,000$
2Liam GormanX100.0060606060607070606060606060495809900241771,750$
3Alexander CampbellXXX100.00606060606070706060606060604657099002311,023,750$
4Kole LindXX100.00606060606070706060606060606368096002622,128,125$
5Keean WashkurakX100.0060606060607070606060606060546009700232826,875$
6William StromgrenXX100.00606060606070706060606060604758099002121,312,500$
7Elliot EkefjardXX100.0060606060607070606060606060575809900222682,500$
8Mikael PyyhtiaXX100.00655094706779926965656776654958099002331,250,000$
9Alexander GordinXXX100.0060606060607070606060606060405509900231735,000$
10Nate DanielsonX100.00606060606070706060606060604055097012021,500,000$
11Michael Brandsegg-Nygard (R)XX100.00606060606070706060606060604455099001931,500,000$
12Tanner Howe (R)X100.00606060606070706060606060604855099001931,250,000$
13Samuel KnazkoX100.00606060606070706060606060604557099002211,023,750$
14Maxwell GildonX100.00606060606070706060606060605460091002511,074,938$
15Ole Julian Bjorgvik-HolmX100.0060606060607070606060606060485709900222787,500$
16Ville OttavainenX100.00735089638081926125626173654958097002211,023,750$
17Owen PickeringX100.00655093727781916925656774654758099002041,500,000$
18Elias Pettersson.X100.0072548971717990692565667165405509900201975,000$
Rayé
1Juha JaaskaXX100.0062568869797592696970686865645809400261700,000$
2Alex GagneX100.0060606060607070606060606060455809600221735,000$
3Nikita NovikovX100.0060606060607070606060606060455809600212682,500$
4Vittorio ManciniX100.0071509280868288752569697265405509401221650,000$
5Quinton Burns (R)X100.0060606060607070606060606060485509600193975,000$
MOYENNE D’ÉQUIPE100.006358696365737663556262646249580970
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
1Mads Sogaard100.0060707060606060606060605061099002421,050,000$
2Colten Ellis100.006070706060606060606060566109000241866,250$
Rayé
1Rasmus Korhonen100.006070706060606060606060465709800222866,250$
2Sergey Murashov100.006070706060606060606060425509801202750,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606049590960
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk MacDonald6565656561661USA412600,000$


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
1Nicolas Aube-KubelBulldogs (STL)LW/RW324642045131715.38%05919.99011152025141062.50%811002.0000000100
2Mikael PyyhtiaBulldogs (STL)LW/RW3426300441951621.05%37625.38202250220140045.00%2042001.5800000120
3Elliot EkefjardBulldogs (STL)LW/RW3235-112106285725.00%25719.13112250001151068.42%1902001.7400101100
4Alexander CampbellBulldogs (STL)C/LW/RW3123112103442325.00%13612.2200001000000045.00%2001001.6400002000
5Maxwell GildonBulldogs (STL)D32132604784325.00%75719.1321315000211100%002001.0500000001
6Ville OttavainenBulldogs (STL)D3033055345450%66321.0101105000015000%002000.9500010000
7Liam GormanBulldogs (STL)C3112-1608044225.00%14214.3101125000000042.11%3800000.9300000001
8Keean WashkurakBulldogs (STL)C30222155213220%13913.1102204000000057.69%5200001.0200010000
9Owen PickeringBulldogs (STL)D31122202762216.67%88026.9800005000115010%014000.4901000010
10Kole LindBulldogs (STL)LW/RW3011-147258212590%24615.37000020002110066.67%322000.4300401000
11Ole Julian Bjorgvik-HolmBulldogs (STL)D3011-120122010%44113.720000000003000%001000.4900000000
12Elias Pettersson.Bulldogs (STL)D30112002510110%38026.9100025000215000%013000.2500000000
13Nate DanielsonBulldogs (STL)C3011095231210%0196.340000200000000%500001.0500010000
14Tanner HoweBulldogs (STL)LW31010405463316.67%04314.4400000000050050.00%612000.4600000000
15Samuel KnazkoBulldogs (STL)D3000255332100%23913.080000000001000%00200000001000
16William StromgrenBulldogs (STL)LW/RW300011010166540%03411.55000000000000100.00%11100000110000
17Alexander GordinBulldogs (STL)C/LW/RW3000-120262020%1268.6800000000000061.54%260000000000000
18Michael Brandsegg-NygardBulldogs (STL)LW/RW3000-200214100%0258.410000000000000%20000000000000
Statistiques d’équipe totales ou en moyenne5414233712139756266115476812.17%4186916.1057121057224131253152.00%2001125000.8501645332
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
1Colten EllisBulldogs (STL)32000.8554.3213900106935000030000
2Mads SogaardBulldogs (STL)11000.9691.46410013217000003000
Statistiques d’équipe totales ou en moyenne43000.8913.6518100111015200033000


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
Alex GagneBulldogs (STL)D222002-08-12USANo207 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$707,633$73,500$70,763$No---------------------------
Alexander CampbellBulldogs (STL)C/LW/RW232001-02-27CANNo176 Lbs5 ft10NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Alexander GordinBulldogs (STL)C/LW/RW232001-07-31RUSNo186 Lbs7 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$707,633$73,500$70,763$No---------------------------
Colten EllisBulldogs (STL)G242000-10-05CANNo187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$833,996$86,625$83,400$No---------------------------
Elias Pettersson.Bulldogs (STL)D202004-02-16SWENo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Elliot EkefjardBulldogs (STL)LW/RW222002-01-25SWENo216 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Juha JaaskaBulldogs (STL)LW/RW261998-02-09FINNo210 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Keean WashkurakBulldogs (STL)C232001-08-16CAMNo185 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm826,875$796,087$82,688$79,609$No826,875$--------826,875$--------No--------
Kole LindBulldogs (STL)LW/RW261998-10-16CANNo193 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm2,128,125$2,048,886$212,812$204,888$No2,128,125$--------2,128,125$--------No--------
Liam GormanBulldogs (STL)C242000-05-08USANo187 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm771,750$743,015$77,175$74,301$No---------------------------
Mads SogaardBulldogs (STL)G242000-12-13DNKNo196 Lbs6 ft7NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,050,000$1,010,904$105,000$101,090$No1,050,000$--------1,050,000$--------No--------
Maxwell GildonBulldogs (STL)D251999-05-17USANo192 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,074,938$1,034,914$107,494$103,492$No---------------------------
Michael Brandsegg-NygardBulldogs (STL)LW/RW192005-10-05NORYes207 Lbs5 ft11NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Mikael PyyhtiaBulldogs (STL)LW/RW232001-12-17FINNo176 Lbs6 ft0NoNoN/ANoNo32025-09-08FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Nate DanielsonBulldogs (STL)C202004-09-27CANNo187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Nicolas Aube-KubelBulldogs (STL)LW/RW281996-05-10CANNo213 Lbs6 ft0NoNoFree AgentNoNo12025-05-16FalseFalsePro & Farm800,000$770,213$80,000$77,021$No---------------------------
Nikita NovikovBulldogs (STL)D212003-07-25RUSNo207 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Ole Julian Bjorgvik-HolmBulldogs (STL)D222002-05-23NORNo194 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$758,178$78,750$75,818$No787,500$--------787,500$--------No--------
Owen PickeringBulldogs (STL)D202004-01-27CANNo200 Lbs6 ft5NoNoN/ANoNo42025-09-08FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Quinton BurnsBulldogs (STL)D192005-04-14CANYes198 Lbs6 ft0NoNoProspectNoNo32025-08-24FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Rasmus KorhonenBulldogs (STL)G222002-10-22FINNo203 Lbs6 ft5NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$833,996$86,625$83,400$No866,250$--------866,250$--------No--------
Samuel KnazkoBulldogs (STL)D222002-08-07SVKNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Sergey MurashovBulldogs (STL)G202004-04-01RUSNo172 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Tanner HoweBulldogs (STL)LW192005-11-28CANYes183 Lbs5 ft9NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Ville OttavainenBulldogs (STL)D222002-08-12FINNo210 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Vittorio ManciniBulldogs (STL)D222002-05-26USANo229 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
William StromgrenBulldogs (STL)LW/RW212003-06-07SWENo176 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No1,312,500$--------1,312,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.30195 Lbs6 ft21.781,016,313$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaKeean WashkurakNicolas Aube-Kubel28122
2Elliot EkefjardLiam GormanKole Lind28122
3Tanner HoweAlexander CampbellWilliam Stromgren25122
4Michael Brandsegg-NygardAlexander GordinMikael Pyyhtia19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringElias Pettersson.28122
2Ville OttavainenMaxwell Gildon28122
3Samuel KnazkoOle Julian Bjorgvik-Holm25122
4Owen PickeringElias Pettersson.19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaKeean WashkurakNicolas Aube-Kubel50122
2Elliot EkefjardLiam GormanKole Lind50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringElias Pettersson.50122
2Ville OttavainenMaxwell Gildon50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikael PyyhtiaNicolas Aube-Kubel50122
2Elliot EkefjardKole Lind50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringElias Pettersson.50122
2Ville OttavainenMaxwell Gildon50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikael Pyyhtia50122Owen PickeringElias Pettersson.50122
2Nicolas Aube-Kubel50122Ville OttavainenMaxwell Gildon50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mikael PyyhtiaNicolas Aube-Kubel50122
2Elliot EkefjardKole Lind50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PickeringElias Pettersson.50122
2Ville OttavainenMaxwell Gildon50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaKeean WashkurakNicolas Aube-KubelOwen PickeringElias Pettersson.
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaKeean WashkurakNicolas Aube-KubelOwen PickeringElias Pettersson.
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nate Danielson, Alexander Campbell, Tanner HoweNate Danielson, Alexander CampbellTanner Howe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Knazko, Ole Julian Bjorgvik-Holm, Ville OttavainenSamuel KnazkoOle Julian Bjorgvik-Holm, Ville Ottavainen
Tirs de pénalité
Mikael Pyyhtia, Nicolas Aube-Kubel, Elliot Ekefjard, Kole Lind, Keean Washkurak
Gardien
#1 : Colten Ellis, #2 : Mads Sogaard


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
1Roadrunners11000000321110000003210000000000021.00034700246238323940419112424000%7185.71%2326549.23%398346.99%335263.46%603163305726
2White Wolves10001000651000000000001000100065121.00061117002462453239404391233208450.00%9366.67%0326549.23%398346.99%335263.46%603163305726
3Wolves10001000541100010005410000000000021.0005813002462323239404431882182150.00%7185.71%0326549.23%398346.99%335263.46%603163305726
Total3100200014113210010008621000100065161.0001423370024621153239404101411396210550.00%23578.26%2326549.23%398346.99%335263.46%603163305726
_Since Last GM Reset3100200014113210010008621000100065161.0001423370024621153239404101411396210550.00%23578.26%2326549.23%398346.99%335263.46%603163305726
_Vs Conference21001000972110000003211000100065141.00091524002462833239404582357448450.00%16475.00%2326549.23%398346.99%335263.46%603163305726
_Vs Division21001000972110000003211000100065141.00091524002462833239404582357448450.00%16475.00%2326549.23%398346.99%335263.46%603163305726

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
36W3142337115101411396200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
31020001411
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
210100086
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100100065
Derniers 10 matchs
WLOTWOTL SOWSOL
300000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10550.00%23578.26%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
32394042462
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
326549.23%398346.99%335263.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
603163305726


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
29Roadrunners2Bulldogs3WSommaire du match
320Bulldogs6White Wolves5WXSommaire du match
647Wolves4Bulldogs5WXSommaire du match
859Bulldogs-Bills-
1074Crunch-Bulldogs-
1185Bulldogs-Blood Miners-
14105Griffins-Bulldogs-
16119Bulldogs-Mountaineers-
19138Bulldogs-Gorillas-
20153Reign-Bulldogs-
21154Bulldogs-White Wolves-
25179Eagles-Bulldogs-
26185Bulldogs-Griffins-
29207Bulldogs-Moose-
31219White Wolves-Bulldogs-
35242Rocket-Bulldogs-
37264Bulldogs-Senators-
39273Norsemen-Bulldogs-
42295Bulldogs-Blood Miners-
44307Blood Miners-Bulldogs-
46319Bulldogs-Penguins-
48332Bulldogs-Griffins-
49345Redhawks-Bulldogs-
52363Bulldogs-Blood Miners-
53378Crunch-Bulldogs-
56400Bulldogs-Eagles-
57410Blossom Bytes-Bulldogs-
61434Bulldogs-Roadrunners-
62442Octopus-Bulldogs-
66466Crunch-Bulldogs-
69487Bulldogs-Roadrunners-
71497Blood Miners-Bulldogs-
74518Bulldogs-Rocket-
75531Bills-Bulldogs-
78552Bulldogs-Bills-
80561Gulls-Bulldogs-
83582Bulldogs-Blossom Bytes-
85594White Wolves-Bulldogs-
87608Bulldogs-White Wolves-
89627Bills-Bulldogs-
92648Bulldogs-Griffins-
93659Bears-Bulldogs-
96683Bulldogs-Redhawks-
97690Reign-Bulldogs-
101716Bulldogs-Wolves-
102725Saints-Bulldogs-
104741Bulldogs-Bills-
107755Rocket-Bulldogs-
109768Bulldogs-Gorillas-
111786Whalers-Bulldogs-
115812Bulldogs-Redhawks-
116820Mountaineers-Bulldogs-
118836Bulldogs-Reign-
120850Grisards-Bulldogs-
122865Bulldogs-Octopus-
124880Gorillas-Bulldogs-
126897Bulldogs-Octopus-
128914Americans-Bulldogs-
129927Bulldogs-White Wolves-
132945Wolves-Bulldogs-
134956Bulldogs-Titans-
136973Bulldogs-Wolf Pack-
138980Bulldogs-Moose-
139990Wolves-Bulldogs-
1421013Gorillas-Bulldogs-
1451039Phantoms-Bulldogs-
1481058Bulldogs-Mountaineers-
1501073Admirals-Bulldogs-
1511086Bulldogs-Gorillas-
1541105Silver Knights-Bulldogs-
1581135Roadrunners-Bulldogs-
1601144Bulldogs-Saints-
1621163Griffins-Bulldogs-
1641177Bulldogs-Silver Knights-
1671196Eagles-Bulldogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681207Bulldogs-Saints-
1721229Rams-Bulldogs-
1741235Bulldogs-Silver Knights-
1771257Roadrunners-Bulldogs-
1811278Bulldogs-Crunch-
1841293Rams-Bulldogs-
1851302Bulldogs-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3014
Assistance5,00010,177
Assistance PCT100.00%92.52%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 7589 - 94.86% 175,487$350,973$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
120,919$ 2,744,043$ 2,744,043$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,787$ 120,919$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,843,974$ 181 17,787$ 3,219,447$




Bulldogs 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

Bulldogs 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

Bulldogs 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

Bulldogs 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

Bulldogs 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