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Connexion

Bulldogs
GP: 61 | W: 32 | L: 25 | OTL: 4 | P: 68
GF: 209 | GA: 202 | PP%: 34.35% | PK%: 72.44%
DG: Rico | Morale : 93 | Moyenne d’équipe : N/A
Prochains matchs #973 vs Wolf Pack

Centre de jeu
Wolves
19-34-7, 45pts
3
FINAL
0 Bulldogs
32-25-4, 68pts
Team Stats
L1SéquenceW1
7-21-3Fiche domicile15-15-0
12-13-4Fiche domicile17-10-4
3-7-0Derniers 10 matchs3-6-1
3.27Buts par match 3.43
4.13Buts contre par match 3.31
28.57%Pourcentage en avantage numérique34.35%
67.00%Pourcentage en désavantage numérique72.44%
Bulldogs
32-25-4, 68pts
5
FINAL
3 Titans
27-31-4, 58pts
Team Stats
W1SéquenceL6
15-15-0Fiche domicile11-15-4
17-10-4Fiche domicile16-16-0
3-6-1Derniers 10 matchs2-7-1
3.43Buts par match 3.34
3.31Buts contre par match 3.71
34.35%Pourcentage en avantage numérique27.34%
72.44%Pourcentage en désavantage numérique67.55%
Bulldogs
32-25-4, 68pts
Jour 136
Wolf Pack
27-23-10, 64pts
Statistiques d’équipe
W1SéquenceW1
15-15-0Fiche domicile15-10-5
17-10-4Fiche visiteur12-13-5
3-6-110 derniers matchs4-3-3
3.43Buts par match 3.15
3.31Buts contre par match 3.15
34.35%Pourcentage en avantage numérique27.09%
72.44%Pourcentage en désavantage numérique75.00%
Bulldogs
32-25-4, 68pts
Jour 138
Moose
42-16-4, 88pts
Statistiques d’équipe
W1SéquenceW2
15-15-0Fiche domicile20-8-2
17-10-4Fiche visiteur22-8-2
3-6-110 derniers matchs7-2-1
3.43Buts par match 3.55
3.31Buts contre par match 3.55
34.35%Pourcentage en avantage numérique28.21%
72.44%Pourcentage en désavantage numérique65.26%
Wolves
19-34-7, 45pts
Jour 139
Bulldogs
32-25-4, 68pts
Statistiques d’équipe
L1SéquenceW1
7-21-3Fiche domicile15-15-0
12-13-4Fiche visiteur17-10-4
3-7-010 derniers matchs3-6-1
3.27Buts par match 3.43
4.13Buts contre par match 3.43
28.57%Pourcentage en avantage numérique34.35%
67.00%Pourcentage en désavantage numérique72.44%
Meneurs d'équipe
Buts
Mikael Pyyhtia
45
Passes
Mikael Pyyhtia
42
Points
Mikael Pyyhtia
87
Plus/Moins
Michael Brandsegg-Nygard
5
Victoires
Johan Gustafsson
16
Pourcentage d’arrêts
Sergey Murashov
0.94

Statistiques d’équipe
Buts pour
209
3.43 GFG
Tirs pour
1804
29.57 Avg
Pourcentage en avantage numérique
34.4%
90 GF
Début de zone offensive
36.7%
Buts contre
202
3.31 GAA
Tirs contre
1914
31.38 Avg
Pourcentage en désavantage numérique
72.4%%
78 GA
Début de la zone défensive
39.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance7,634
Billets de saison800


Informations de la formation

Équipe Pro27
Équipe Mineure22
Limite contact 49 / 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-KubelXX100.0074568764807681686565666965616407700281800,000$
2Liam GormanX100.0060606060607070606060606060495807900241771,750$
3Alexander CampbellXXX100.00606060606070706060606060604657078002311,023,750$
4Kole LindXX100.00606060606070706060606060606368075002622,128,125$
5Keean WashkurakX100.0060606060607070606060606060546007000232826,875$
6William StromgrenXX100.00606060606070706060606060604758079002121,312,500$
7Mikael PyyhtiaXX100.00655094706779926965656776654958086002331,250,000$
8Alexander GordinXXX100.0060606060607070606060606060405507300231735,000$
9Nate DanielsonX100.00606060606070706060606060604055085012021,500,000$
10Michael Brandsegg-Nygard (R)XX100.00606060606070706060606060604455081001931,500,000$
11Tanner Howe (R)X100.00606060606070706060606060604855081001931,250,000$
12Juha JaaskaXX100.0062568869797592696970686865645808200261700,000$
13Samuel KnazkoX100.00606060606070706060606060604557069002211,023,750$
14Maxwell GildonX100.00606060606070706060606060605460064002511,074,938$
15Ole Julian Bjorgvik-HolmX100.0060606060607070606060606060485705600222787,500$
16Alex GagneX100.0060606060607070606060606060455808100221735,000$
17Ville OttavainenX100.00735089638081926125626173654958076002211,023,750$
18Quinton Burns (R)X100.0060606060607070606060606060485506700193975,000$
Rayé
1Elliot EkefjardXX100.0060606060607070606060606060575807700222682,500$
2Nikita NovikovX100.0060606060607070606060606060455807500212682,500$
3Elias Pettersson.X100.0072548971717990692565667165405507600201975,000$
4Vittorio ManciniX91.5971509280868288752569697265405507001221650,000$
MOYENNE D’ÉQUIPE99.596358686365727562566262636149580750
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
1Rasmus Korhonen100.006070706060606060606060465706800222866,250$
2Colten Ellis100.006070706060606060606060566106700241866,250$
Rayé
1Mads Sogaard100.0060707060606060606060605061069002421,050,000$
2Johan Gustafsson100.006070706060606060606060707506800321650,000$
3Sergey Murashov100.006070706060606060606060425506601202750,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606053620680
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
1Mikael PyyhtiaBulldogs (STL)LW/RW61454287048407812331010119314.52%43151024.7622184056168022151996248.96%3846033011.1547323754
2Juha JaaskaBulldogs (STL)LW/RW55214162-1261456179173459012.14%32103518.831225373512201191264154.69%3843722001.2025324344
3Nicolas Aube-KubelBulldogs (STL)LW/RW61253358-1362089941864712113.44%31123620.266162237166404151694154.02%872520100.9407121374
4Nate DanielsonBulldogs (STL)C61163248-11368011179127377812.60%21113718.65918272915000091341344.36%6561618000.84032311320
5Elias Pettersson.Bulldogs (STL)D564313515430679514546622.76%92147726.3831013251510117180110%03754000.4711213111
6Alexander GordinBulldogs (STL)C/LW/RW56142034-324212083105114418012.28%22101018.0441115201140000362047.63%6951516010.6712789102
7Elliot EkefjardBulldogs (STL)LW/RW55161531-2144808459122325513.11%1889116.223699540005601152.04%98139000.7033456331
8Vittorio ManciniBulldogs (STL)D3692029-6101020519235299.78%4070119.50610163081112696100%02023000.8311110210
9Michael Brandsegg-NygardBulldogs (STL)LW/RW57141327513165857399365814.14%1992716.2764101155000002144.11%263914010.5801616111
10Tanner HoweBulldogs (STL)LW58101222-410060746244272722.73%1176813.24325829000081242.20%109213000.5700417021
11Kole LindBulldogs (STL)LW/RW4891221-316785746151204217.65%1473415.293367590006391048.65%2961315000.5700827101
12Maxwell GildonBulldogs (STL)D463811-8644033483511118.57%3573015.88358789000393100%0311000.3000143001
13Keean WashkurakBulldogs (STL)C4111011532101917248224.17%62796.810554350000130045.35%25822000.7900020010
14Alex GagneBulldogs (STL)D411910-31195536594017162.50%3887621.39134275000075000%02016000.2300425000
15Owen PickeringBluesD17281087520374125194.88%3346227.231231053000166010%01619000.4301100110
16Alexander CampbellBulldogs (STL)C/LW/RW42279-428103726228179.09%73488.301011210000180051.89%10614000.5200002000
17Ville OttavainenBulldogs (STL)D55279-7222038764722294.26%62108519.732248930004153000%0930000.1711022001
18Samuel KnazkoBulldogs (STL)D373584613535312315813.04%1755314.95224339011067110%0215000.2900124010
19Quinton BurnsBulldogs (STL)D5335803715324237858.11%3382515.58235987000282100%01317000.1900012002
20William StromgrenBulldogs (STL)LW/RW442353492518333011146.67%123678.34000011000060051.70%14713000.2700320000
21Liam GormanBulldogs (STL)C45314-6261038112391413.04%53337.421124310000211049.07%16104000.2400101002
22Ole Julian Bjorgvik-HolmBulldogs (STL)D2702224820101613270%1634112.640001600001700100.00%124000.1200012000
23Nikita NovikovBulldogs (STL)D46022-4494515226510%163607.830000200009000%0410000.1100324000
Statistiques d’équipe totales ou en moyenne1098205338543-36167192511571299180460899811.36%6231799516.399014623631617025611821678281448.07%3645320372130.601332554682262925
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
1Johan GustafssonBulldogs (STL)27161000.9012.9415534276764431310.58312270420
2Colten EllisBulldogs (STL)2511530.8933.3712810172675385300.571142224111
3Rasmus KorhonenBulldogs (STL)143710.8763.885880038307170000.7504919100
4Mads SogaardBulldogs (STL)51200.9163.0913600783450000016000
5Sergey MurashovBulldogs (STL)31100.9402.261330058453000032001
Statistiques d’équipe totales ou en moyenne74322540.8963.223693431981913108461306161632


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$207,207$73,500$20,721$No---------------------------
Alexander CampbellBulldogs (STL)C/LW/RW232001-02-27CANNo176 Lbs5 ft10NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$288,610$102,375$28,861$No---------------------------
Alexander GordinBulldogs (STL)C/LW/RW232001-07-31RUSNo186 Lbs7 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$207,207$73,500$20,721$No---------------------------
Colten EllisBulldogs (STL)G242000-10-05CANNo187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$244,209$86,625$24,421$No---------------------------
Elias Pettersson.Bulldogs (STL)D202004-02-16SWENo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$274,867$97,500$27,487$No---------------------------
Elliot EkefjardBulldogs (STL)LW/RW222002-01-25SWENo216 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No682,500$--------682,500$--------No--------
Johan GustafssonBulldogs (STL)G321992-02-28SWENo203 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Juha JaaskaBulldogs (STL)LW/RW261998-02-09FINNo210 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm700,000$197,340$70,000$19,734$No---------------------------
Keean WashkurakBulldogs (STL)C232001-08-16CAMNo185 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm826,875$233,108$82,688$23,311$No826,875$--------826,875$--------No--------
Kole LindBulldogs (STL)LW/RW261998-10-16CANNo193 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm2,128,125$599,950$212,812$59,995$No2,128,125$--------2,128,125$--------No--------
Liam GormanBulldogs (STL)C242000-05-08USANo187 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm771,750$217,568$77,175$21,757$No---------------------------
Mads SogaardBulldogs (STL)G242000-12-13DNKNo196 Lbs6 ft7NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,050,000$296,011$105,000$29,601$No1,050,000$--------1,050,000$--------No--------
Maxwell GildonBulldogs (STL)D251999-05-17USANo192 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,074,938$303,041$107,494$30,304$No---------------------------
Michael Brandsegg-NygardBulldogs (STL)LW/RW192005-10-05NORYes207 Lbs5 ft11NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,500,000$422,872$150,000$42,287$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$352,394$125,000$35,239$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$422,872$150,000$42,287$No1,500,000$--------1,500,000$--------No--------
Nicolas Aube-KubelBulldogs (STL)LW/RW281996-05-10CANNo213 Lbs6 ft0NoNoFree AgentNoNo12025-05-16FalseFalsePro & Farm800,000$225,532$80,000$22,553$No---------------------------
Nikita NovikovBulldogs (STL)D212003-07-25RUSNo207 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No682,500$--------682,500$--------No--------
Ole Julian Bjorgvik-HolmBulldogs (STL)D222002-05-23NORNo194 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$222,008$78,750$22,201$No787,500$--------787,500$--------No--------
Quinton BurnsBulldogs (STL)D192005-04-14CANYes198 Lbs6 ft0NoNoProspectNoNo32025-08-24FalseFalsePro & Farm975,000$274,867$97,500$27,487$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Rasmus KorhonenBulldogs (STL)G222002-10-22FINNo203 Lbs6 ft5NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$244,209$86,625$24,421$No866,250$--------866,250$--------No--------
Samuel KnazkoBulldogs (STL)D222002-08-07SVKNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$288,610$102,375$28,861$No---------------------------
Sergey MurashovBulldogs (STL)G202004-04-01RUSNo172 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$211,436$75,000$21,144$No750,000$--------750,000$--------No--------
Tanner HoweBulldogs (STL)LW192005-11-28CANYes183 Lbs5 ft9NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$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$288,610$102,375$28,861$No---------------------------
Vittorio Mancini (sur la masse salariale)Bulldogs (STL)D222002-05-26USANo229 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
William StromgrenBulldogs (STL)LW/RW212003-06-07SWENo176 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$370,013$131,250$37,001$No1,312,500$--------1,312,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.74195 Lbs6 ft21.67984,831$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaWilliam StromgrenNicolas Aube-Kubel28122
2Kole LindNate DanielsonMichael Brandsegg-Nygard28122
3Juha JaaskaTanner HoweAlexander Gordin25122
4Juha JaaskaAlexander GordinMikael Pyyhtia19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville OttavainenSamuel Knazko28122
2Ole Julian Bjorgvik-HolmAlex Gagne28122
3Quinton BurnsMaxwell Gildon25122
4Alex GagneVille Ottavainen19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaJuha JaaskaNicolas Aube-Kubel50122
2Tanner HoweNate DanielsonAlexander Gordin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GagneVille Ottavainen50122
2Quinton BurnsMaxwell Gildon50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikael PyyhtiaAlexander Gordin50122
2Juha JaaskaNate Danielson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GagneMaxwell Gildon50122
2Samuel KnazkoVille Ottavainen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikael Pyyhtia50122Ville OttavainenQuinton Burns50122
2Nate Danielson50122Ole Julian Bjorgvik-HolmAlex Gagne50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mikael PyyhtiaJuha Jaaska50122
2Alexander GordinNate Danielson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinton BurnsMaxwell Gildon50122
2Alex GagneVille Ottavainen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaJuha JaaskaNicolas Aube-KubelVille OttavainenQuinton Burns
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaJuha JaaskaNicolas Aube-KubelVille OttavainenQuinton Burns
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nate Danielson, Juha Jaaska, Mikael PyyhtiaNate Danielson, Mikael PyyhtiaMikael Pyyhtia
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ville Ottavainen, Maxwell Gildon, Alex GagneAlex GagneVille Ottavainen, Alex Gagne
Tirs de pénalité
Mikael Pyyhtia, Nicolas Aube-Kubel, Juha Jaaska, Nate Danielson, Alexander Gordin
Gardien
#1 : Colten Ellis, #2 : Rasmus Korhonen


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
1Americans1010000012-11010000012-10000000000000.00012300318387171946265666749428372011100.00%70100.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
2Bears11000000202110000002020000000000021.0002350131838717284626566674912512204250.00%10100.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
3Bills52200001232122020000037-4320000012014650.500233861003183871716046265666749167481578417635.29%26965.38%1644133648.20%674142347.36%43488648.98%115652212396431301651
4Blood Miners512000021519-42110000078-130100002811-340.400152237003183871717246265666749187662028921733.33%21766.67%0644133648.20%674142347.36%43488648.98%115652212396431301651
5Blossom Bytes20200000611-51010000034-11010000037-400.0006915003183871755462656667498023534413323.08%9455.56%0644133648.20%674142347.36%43488648.98%115652212396431301651
6Crunch311000101311231100010131120000000000040.667132033013183871795462656667498021636711327.27%14657.14%0644133648.20%674142347.36%43488648.98%115652212396431301651
7Eagles20200000310-71010000016-51010000024-200.0003690031838717494626566674983212444400.00%12466.67%0644133648.20%674142347.36%43488648.98%115652212396431301651
8Gorillas3020001079-21010000023-12010001056-120.33371118003183871773462656667497524605014428.57%9455.56%0644133648.20%674142347.36%43488648.98%115652212396431301651
9Griffins42101000151141010000034-132001000127560.750152641003183871711846265666749100311149326830.77%18572.22%0644133648.20%674142347.36%43488648.98%115652212396431301651
10Grisards1010000023-11010000023-10000000000000.000235003183871735462656667493872923300.00%20100.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
11Gulls11000000642110000006420000000000021.00069150031838717394626566674924915145360.00%5260.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
12Moose1010000024-2000000000001010000024-200.00023500318387172246265666749248141311100.00%7271.43%0644133648.20%674142347.36%43488648.98%115652212396431301651
13Mountaineers21001000642110000003211000100032141.00061016003183871755462656667496731622512433.33%10190.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
14Norsemen11000000312110000003120000000000021.0003580031838717244626566674929810163133.33%50100.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
15Octopus312000001116-51010000046-221100000710-320.3331114250031838717724626566674911844104709444.44%17570.59%1644133648.20%674142347.36%43488648.98%115652212396431301651
16Penguins1010000023-1000000000001010000023-100.00022400318387171846265666749241115233266.67%5180.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
17Redhawks321000001311211000000312211000001010040.667132134003183871777462656667499737844817847.06%14750.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
18Reign3120000068-2211000005501010000013-220.333612181031838717102462656667499130396615213.33%12283.33%0644133648.20%674142347.36%43488648.98%115652212396431301651
19Roadrunners33000000945110000003212200000062461.0009152400318387179546265666749612755546350.00%10280.00%2644133648.20%674142347.36%43488648.98%115652212396431301651
20Rocket31100010954211000006331000001032140.66791625013183871774462656667497517596013430.77%12191.67%0644133648.20%674142347.36%43488648.98%115652212396431301651
21Saints11000000532110000005320000000000021.000510150031838717294626566674922830152150.00%5180.00%1644133648.20%674142347.36%43488648.98%115652212396431301651
22Senators11000000532000000000001100000053221.00057120031838717364626566674933151714400.00%6266.67%0644133648.20%674142347.36%43488648.98%115652212396431301651
23Titans11000000532000000000001100000053221.000571200318387172746265666749361530228450.00%5180.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
24Whalers10000010541100000105410000000000021.000561100318387173146265666749391234253266.67%20100.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
25White Wolves622011002423121100000550411011001918170.58324416500318387172174626566674921462148111361336.11%29968.97%0644133648.20%674142347.36%43488648.98%115652212396431301651
26Wolves3110100011922010100057-21100000062440.6671120310031838717824626566674996352084711436.36%20385.00%0644133648.20%674142347.36%43488648.98%115652212396431301651
Total612425041432092027301215010209091-1311210031231191118680.55720933854713318387171804462656667491914623167511572629034.35%2837872.44%5644133648.20%674142347.36%43488648.98%115652212396431301651
_Since Last GM Reset23101000120787441146000102627-112640011052475250.543781252031131838717636462656667496872356384291013635.64%1012575.25%2644133648.20%674142347.36%43488648.98%115652212396431301651
_Vs Conference46181803133159155421911000106366-325970312396897520.5651592624211231838717138846265666749143746712018762036733.00%2096369.86%5644133648.20%674142347.36%43488648.98%115652212396431301651
_Vs Division181110021235661-5747000101922-31173021133739-2340.9445692148003183871757946265666749598192453327712535.21%842471.43%2644133648.20%674142347.36%43488648.98%115652212396431301651

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6168W1209338547180419146231675115713
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6124254143209202
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30121510209091
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3112103123119111
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2629034.35%2837872.44%5
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
4626566674931838717
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
644133648.20%674142347.36%43488648.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
115652212396431301651


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
859Bulldogs4Bills2WSommaire du match
1074Crunch5Bulldogs6WXXSommaire du match
1185Bulldogs2Blood Miners3LXXSommaire du match
14105Griffins4Bulldogs3LSommaire du match
16119Bulldogs3Mountaineers2WXSommaire du match
19138Bulldogs1Gorillas3LSommaire du match
20153Reign4Bulldogs1LSommaire du match
21154Bulldogs7White Wolves3WSommaire du match
25179Eagles6Bulldogs1LSommaire du match
26185Bulldogs4Griffins2WSommaire du match
29207Bulldogs2Moose4LSommaire du match
31219White Wolves4Bulldogs2LSommaire du match
35242Rocket0Bulldogs5WSommaire du match
37264Bulldogs5Senators3WSommaire du match
39273Norsemen1Bulldogs3WSommaire du match
42295Bulldogs2Blood Miners3LXXSommaire du match
44307Blood Miners2Bulldogs6WSommaire du match
46319Bulldogs2Penguins3LSommaire du match
48332Bulldogs3Griffins2WXSommaire du match
49345Redhawks1Bulldogs3WSommaire du match
52363Bulldogs4Blood Miners5LSommaire du match
53378Crunch0Bulldogs4WSommaire du match
56400Bulldogs2Eagles4LSommaire du match
57410Blossom Bytes4Bulldogs3LSommaire du match
61434Bulldogs2Roadrunners1WSommaire du match
62442Octopus6Bulldogs4LSommaire du match
66466Crunch6Bulldogs3LSommaire du match
69487Bulldogs4Roadrunners1WSommaire du match
71497Blood Miners6Bulldogs1LSommaire du match
74518Bulldogs3Rocket2WXXSommaire du match
75531Bills4Bulldogs2LSommaire du match
78552Bulldogs8Bills9LXXSommaire du match
80561Gulls4Bulldogs6WSommaire du match
83582Bulldogs3Blossom Bytes7LSommaire du match
85594White Wolves1Bulldogs3WSommaire du match
87608Bulldogs2White Wolves5LSommaire du match
89627Bills3Bulldogs1LSommaire du match
92648Bulldogs5Griffins3WSommaire du match
93659Bears0Bulldogs2WSommaire du match
96683Bulldogs5Redhawks8LSommaire du match
97690Reign1Bulldogs4WSommaire du match
101716Bulldogs6Wolves2WSommaire du match
102725Saints3Bulldogs5WSommaire du match
104741Bulldogs8Bills3WSommaire du match
107755Rocket3Bulldogs1LSommaire du match
109768Bulldogs4Gorillas3WXXSommaire du match
111786Whalers4Bulldogs5WXXSommaire du match
115812Bulldogs5Redhawks2WSommaire du match
116820Mountaineers2Bulldogs3WSommaire du match
118836Bulldogs1Reign3LSommaire du match
120850Grisards3Bulldogs2LSommaire du match
122865Bulldogs2Octopus6LSommaire du match
124880Gorillas3Bulldogs2LSommaire du match
126897Bulldogs5Octopus4WSommaire du match
128914Americans2Bulldogs1LSommaire du match
129927Bulldogs4White Wolves5LXSommaire du match
132945Wolves3Bulldogs0LSommaire du match
134956Bulldogs5Titans3WSommaire du match
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
Assistance75,000154,032
Assistance PCT100.00%93.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 7634 - 95.43% 176,258$5,287,738$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,249,433$ 2,594,043$ 2,594,043$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,990$ 2,249,433$ 26 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,938,837$ 53 16,990$ 900,470$




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