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Connexion

Bulldogs
GP: 30 | W: 16 | L: 12 | OTL: 2 | P: 34
GF: 101 | GA: 94 | PP%: 34.65% | PK%: 73.10%
DG: Rico | Morale : 96 | Moyenne d’équipe : N/A
Prochains matchs #487 vs Roadrunners

Centre de jeu
Octopus
15-12-1, 31pts
6
FINAL
4 Bulldogs
16-12-2, 34pts
Team Stats
SOL1SéquenceL2
9-6-1Fiche domicile8-7-0
6-6-0Fiche domicile8-5-2
4-5-1Derniers 10 matchs4-6-0
4.25Buts par match 3.37
3.86Buts contre par match 3.13
34.31%Pourcentage en avantage numérique34.65%
73.50%Pourcentage en désavantage numérique73.10%
Crunch
17-12-4, 38pts
6
FINAL
3 Bulldogs
16-12-2, 34pts
Team Stats
W3SéquenceL2
10-3-2Fiche domicile8-7-0
7-9-2Fiche domicile8-5-2
5-3-2Derniers 10 matchs4-6-0
3.45Buts par match 3.37
3.15Buts contre par match 3.13
34.06%Pourcentage en avantage numérique34.65%
76.32%Pourcentage en désavantage numérique73.10%
Bulldogs
16-12-2, 34pts
Jour 69
Roadrunners
11-17-1, 23pts
Statistiques d’équipe
L2SéquenceL4
8-7-0Fiche domicile5-9-1
8-5-2Fiche visiteur6-8-0
4-6-010 derniers matchs4-6-0
3.37Buts par match 2.69
3.13Buts contre par match 2.69
34.65%Pourcentage en avantage numérique23.08%
73.10%Pourcentage en désavantage numérique68.42%
Blood Miners
14-14-2, 30pts
Jour 71
Bulldogs
16-12-2, 34pts
Statistiques d’équipe
L2SéquenceL2
9-5-1Fiche domicile8-7-0
5-9-1Fiche visiteur8-5-2
5-5-010 derniers matchs4-6-0
3.00Buts par match 3.37
3.47Buts contre par match 3.37
22.52%Pourcentage en avantage numérique34.65%
69.72%Pourcentage en désavantage numérique73.10%
Bulldogs
16-12-2, 34pts
Jour 74
Rocket
8-19-2, 18pts
Statistiques d’équipe
L2SéquenceSOL1
8-7-0Fiche domicile5-10-0
8-5-2Fiche visiteur3-9-2
4-6-010 derniers matchs2-6-2
3.37Buts par match 2.90
3.13Buts contre par match 2.90
34.65%Pourcentage en avantage numérique21.49%
73.10%Pourcentage en désavantage numérique69.18%
Meneurs d'équipe
Buts
Mikael Pyyhtia
26
Passes
Mikael Pyyhtia
23
Points
Mikael Pyyhtia
49
Plus/Moins
Samuel Knazko
7
Victoires
Colten Ellis
9
Pourcentage d’arrêts
Johan Gustafsson
0.949

Statistiques d’équipe
Buts pour
101
3.37 GFG
Tirs pour
909
30.30 Avg
Pourcentage en avantage numérique
34.6%
44 GF
Début de zone offensive
37.7%
Buts contre
94
3.13 GAA
Tirs contre
964
32.13 Avg
Pourcentage en désavantage numérique
73.1%%
39 GA
Début de la zone défensive
39.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance7,699
Billets de saison800


Informations de la formation

Équipe Pro26
Équipe Mineure22
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-KubelXX100.0074568764807681686565666965616408400281800,000$
2Liam GormanX100.0060606060607070606060606060495808000241771,750$
3Kole LindXX100.00606060606070706060606060606368081002622,128,125$
4Keean WashkurakX100.0060606060607070606060606060546008700232826,875$
5William StromgrenXX100.00606060606070706060606060604758087002121,312,500$
6Elliot EkefjardXX100.0060606060607070606060606060575808100222682,500$
7Mikael PyyhtiaXX100.00655094706779926965656776654958088002331,250,000$
8Alexander GordinXXX100.0060606060607070606060606060405508600231735,000$
9Nate DanielsonX100.00606060606070706060606060604055087012021,500,000$
10Michael Brandsegg-Nygard (R)XX100.00606060606070706060606060604455089001931,500,000$
11Tanner Howe (R)X100.00606060606070706060606060604855085001931,250,000$
12Juha JaaskaXX100.0062568869797592696970686865645808700261700,000$
13Samuel KnazkoX100.00606060606070706060606060604557083002211,023,750$
14Alex GagneX100.0060606060607070606060606060455807000221735,000$
15Nikita NovikovX100.0060606060607070606060606060455808600212682,500$
16Elias Pettersson.X100.0072548971717990692565667165405508900201975,000$
17Vittorio ManciniX100.0071509280868288752569697265405507501221650,000$
18Quinton Burns (R)X100.0060606060607070606060606060485508500193975,000$
Rayé
1Alexander CampbellXXX100.00606060606070706060606060604657078002311,023,750$
2Maxwell GildonX100.00606060606070706060606060605460064002511,074,938$
3Ole Julian Bjorgvik-HolmX100.0060606060607070606060606060485707800222787,500$
4Ville OttavainenX98.82735089638081926125626173654958078002211,023,750$
MOYENNE D’ÉQUIPE99.916358686365727562566262636149580820
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 Sogaard100.0060707060606060606060605061083002421,050,000$
2Rasmus Korhonen100.006070706060606060606060465708000222866,250$
Rayé
1Johan Gustafsson100.006070706060606060606060707508400321650,000$
2Colten Ellis100.006070706060606060606060566105100241866,250$
MOYENNE D’ÉQUIPE100.00607070606060606060606056640750
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/RW302623495141035631736010915.03%2275225.10131124328102271003148.35%1823218001.3013110642
2Nicolas Aube-KubelBulldogs (STL)LW/RW3015142941555147102175914.71%1261620.553581679202101004055.81%43159100.9403010323
3Juha JaaskaBulldogs (STL)LW/RW2461925-21715192760162810.00%837915.814121614420002361059.29%113116001.3201210020
4Elias Pettersson.Bulldogs (STL)D30218203382028528023302.50%5179426.4726814800003101010%01726000.5000103100
5Nate DanielsonBulldogs (STL)C3061420-46040473550173712.00%649316.43491315630002500044.49%27279000.8101125020
6Elliot EkefjardBulldogs (STL)LW/RW2871118-3694551377124349.86%1149417.653699510005601050.56%8964000.7322342211
7Alexander GordinBulldogs (STL)C/LW/RW3071017111145386450213414.00%1149716.59336844000022048.40%37496000.6800441002
8Owen PickeringBluesD17281087520374125194.88%3346227.231231053000166010%01619000.4301100110
9Keean WashkurakBulldogs (STL)C29189330101710196195.26%42157.430554340000100045.49%23322000.8400020010
10Michael Brandsegg-NygardBulldogs (STL)LW/RW3072907525444643193416.28%849416.47314527000001042.70%178511000.3600203011
11Tanner HoweBulldogs (STL)LW2954902410462919121226.32%437813.0600000000080047.62%2129000.4800002020
12Alexander CampbellBulldogs (STL)C/LW/RW15178220101616167136.25%215210.1300007000060055.71%7012001.0500002000
13Ville OttavainenBulldogs (STL)D27268-7101022443317206.06%3261122.63224771000498000%0718000.2600020001
14Maxwell GildonBulldogs (STL)D19257-346301720221089.09%2336319.11246250000359100%015000.3900132001
15Kole LindBulldogs (STL)LW/RW23336-51055544253211289.38%636816.030001280006340049.59%121108000.3300506000
16Samuel KnazkoBulldogs (STL)D243367392525231711317.65%1237415.60213335000036110%0211000.3200122010
17Liam GormanBulldogs (STL)C16314-322102861691018.75%317711.08112421000051045.87%10904000.4500101002
18William StromgrenBulldogs (STL)LW/RW2412351915611228104.55%61777.3800004000040053.66%4112000.3400210000
19Ole Julian Bjorgvik-HolmBulldogs (STL)D18022324106109170%1324013.350000100001000100.00%124000.1700011000
20Vittorio ManciniBulldogs (STL)D8112-1550513727.69%1211214.081011600018000%021000.3600100000
21Quinton BurnsBulldogs (STL)D2302221810121712310%1130013.04011323000126000%036000.1300011000
22Alex GagneBulldogs (STL)D13000-4135987440%1120015.420000200009000%01200000010000
23Nikita NovikovBulldogs (STL)D23000-12725862300%81868.090000000003000%03600000113000
Statistiques d’équipe totales ou en moyenne5401001632631080844058963890933152111.00%309884216.3744691131488122244584415448.19%1847155188100.59311272734131713
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)179310.9052.989060145472275100.5006170111
2Johan GustafssonBulldogs (STL)33000.9491.411700147945100030200
3Rasmus KorhonenBulldogs (STL)122610.8743.974680031246140000.7504714100
4Mads SogaardBulldogs (STL)51200.9163.0913600783450000014000
5Sergey MurashovBlues31100.9402.261330058453000032001
Statistiques d’équipe totales ou en moyenne40161220.9053.041815029296455820103030412


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$469,149$73,500$46,915$No---------------------------
Alexander CampbellBulldogs (STL)C/LW/RW232001-02-27CANNo176 Lbs5 ft10NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$653,457$102,375$65,346$No---------------------------
Alexander GordinBulldogs (STL)C/LW/RW232001-07-31RUSNo186 Lbs7 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$469,149$73,500$46,915$No---------------------------
Colten EllisBulldogs (STL)G242000-10-05CANNo187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$552,926$86,625$55,293$No---------------------------
Elias Pettersson.Bulldogs (STL)D202004-02-16SWENo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$622,340$97,500$62,234$No---------------------------
Elliot EkefjardBulldogs (STL)LW/RW222002-01-25SWENo216 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$435,638$68,250$43,564$No682,500$--------682,500$--------No--------
Johan GustafssonBulldogs (STL)G321992-02-28SWENo203 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Juha JaaskaBulldogs (STL)LW/RW261998-02-09FINNo210 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm700,000$446,809$70,000$44,681$No---------------------------
Keean WashkurakBulldogs (STL)C232001-08-16CAMNo185 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm826,875$527,793$82,688$52,780$No826,875$--------826,875$--------No--------
Kole LindBulldogs (STL)LW/RW261998-10-16CANNo193 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm2,128,125$1,358,378$212,812$135,837$No2,128,125$--------2,128,125$--------No--------
Liam GormanBulldogs (STL)C242000-05-08USANo187 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm771,750$492,606$77,175$49,261$No---------------------------
Mads SogaardBulldogs (STL)G242000-12-13DNKNo196 Lbs6 ft7NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,050,000$670,213$105,000$67,021$No1,050,000$--------1,050,000$--------No--------
Maxwell GildonBulldogs (STL)D251999-05-17USANo192 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,074,938$686,131$107,494$68,613$No---------------------------
Michael Brandsegg-NygardBulldogs (STL)LW/RW192005-10-05NORYes207 Lbs5 ft11NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,500,000$957,447$150,000$95,745$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$797,872$125,000$79,787$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$957,447$150,000$95,745$No1,500,000$--------1,500,000$--------No--------
Nicolas Aube-KubelBulldogs (STL)LW/RW281996-05-10CANNo213 Lbs6 ft0NoNoFree AgentNoNo12025-05-16FalseFalsePro & Farm800,000$510,638$80,000$51,064$No---------------------------
Nikita NovikovBulldogs (STL)D212003-07-25RUSNo207 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$435,638$68,250$43,564$No682,500$--------682,500$--------No--------
Ole Julian Bjorgvik-HolmBulldogs (STL)D222002-05-23NORNo194 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$502,660$78,750$50,266$No787,500$--------787,500$--------No--------
Quinton BurnsBulldogs (STL)D192005-04-14CANYes198 Lbs6 ft0NoNoProspectNoNo32025-08-24FalseFalsePro & Farm975,000$622,340$97,500$62,234$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Rasmus KorhonenBulldogs (STL)G222002-10-22FINNo203 Lbs6 ft5NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$552,926$86,625$55,293$No866,250$--------866,250$--------No--------
Samuel KnazkoBulldogs (STL)D222002-08-07SVKNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$653,457$102,375$65,346$No---------------------------
Tanner HoweBulldogs (STL)LW192005-11-28CANYes183 Lbs5 ft9NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$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$653,457$102,375$65,346$No---------------------------
Vittorio ManciniBulldogs (STL)D222002-05-26USANo229 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
William StromgrenBulldogs (STL)LW/RW212003-06-07SWENo176 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$837,766$131,250$83,777$No1,312,500$--------1,312,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2622.85196 Lbs6 ft21.65993,863$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaKole LindNicolas Aube-Kubel28122
2Elliot EkefjardNate DanielsonTanner Howe28122
3Juha JaaskaMichael Brandsegg-NygardAlexander Gordin25122
4Michael Brandsegg-NygardAlexander GordinMikael Pyyhtia19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel KnazkoElias Pettersson.28122
2Vittorio ManciniAlex Gagne28122
3Quinton BurnsNikita Novikov25122
4Alex GagneElias Pettersson.19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaJuha JaaskaNicolas Aube-Kubel50122
2Michael Brandsegg-NygardNate DanielsonAlexander Gordin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel KnazkoElias Pettersson.50122
2Vittorio ManciniQuinton Burns50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikael PyyhtiaNicolas Aube-Kubel50122
2Juha JaaskaNate Danielson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel KnazkoElias Pettersson.50122
2Vittorio ManciniQuinton Burns50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikael Pyyhtia50122Quinton BurnsElias Pettersson.50122
2Nicolas Aube-Kubel50122Vittorio ManciniSamuel Knazko50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mikael PyyhtiaNicolas Aube-Kubel50122
2Alexander GordinNate Danielson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel KnazkoElias Pettersson.50122
2Alex GagneQuinton Burns50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaJuha JaaskaNicolas Aube-KubelVittorio ManciniElias Pettersson.
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaJuha JaaskaNicolas Aube-KubelVittorio ManciniElias Pettersson.
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nate Danielson, Nicolas Aube-Kubel, Mikael PyyhtiaNate Danielson, Mikael PyyhtiaMikael Pyyhtia
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias Pettersson., Samuel Knazko, Quinton BurnsElias Pettersson.Elias Pettersson., Samuel Knazko
Tirs de pénalité
Mikael Pyyhtia, Nicolas Aube-Kubel, Juha Jaaska, Nate Danielson, Alexander Gordin
Gardien
#1 : Rasmus Korhonen, #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
1Bills11000000422000000000001100000042221.0004610001634467392303263382529730204250.00%5180.00%032969747.20%34872248.20%21342849.77%574266615314626312
2Blood Miners41100002141311100000062430100002811-340.50014203400163446714323032633825147551217620735.00%13469.23%032969747.20%34872248.20%21342849.77%574266615314626312
3Blossom Bytes1010000034-11010000034-10000000000000.0003580016344672923032633825471228214375.00%4175.00%032969747.20%34872248.20%21342849.77%574266615314626312
4Crunch311000101311231100010131120000000000040.66713203301163446795230326338258021636711327.27%14657.14%032969747.20%34872248.20%21342849.77%574266615314626312
5Eagles20200000310-71010000016-51010000024-200.000369001634467492303263382583212444400.00%12466.67%032969747.20%34872248.20%21342849.77%574266615314626312
6Gorillas1010000013-2000000000001010000013-200.00012300163446724230326338253082018300.00%5340.00%032969747.20%34872248.20%21342849.77%574266615314626312
7Griffins3110100010821010000034-12100100074340.66710182800163446788230326338257320866720525.00%13561.54%032969747.20%34872248.20%21342849.77%574266615314626312
8Moose1010000024-2000000000001010000024-200.0002350016344672223032633825248141311100.00%7271.43%032969747.20%34872248.20%21342849.77%574266615314626312
9Mountaineers10001000321000000000001000100032121.0003580016344672923032633825381143147228.57%40100.00%032969747.20%34872248.20%21342849.77%574266615314626312
10Norsemen11000000312110000003120000000000021.000358001634467242303263382529810163133.33%50100.00%032969747.20%34872248.20%21342849.77%574266615314626312
11Octopus1010000046-21010000046-20000000000000.00046100016344672523032633825371555313266.67%5260.00%032969747.20%34872248.20%21342849.77%574266615314626312
12Penguins1010000023-1000000000001010000023-100.0002240016344671823032633825241115233266.67%5180.00%032969747.20%34872248.20%21342849.77%574266615314626312
13Redhawks11000000312110000003120000000000021.0003580016344672523032633825311316145240.00%30100.00%032969747.20%34872248.20%21342849.77%574266615314626312
14Reign1010000014-31010000014-30000000000000.000123001634467382303263382540112917400.00%7185.71%032969747.20%34872248.20%21342849.77%574266615314626312
15Roadrunners22000000532110000003211100000021141.00057120016344676423032633825402140403133.33%10280.00%232969747.20%34872248.20%21342849.77%574266615314626312
16Rocket11000000505110000005050000000000021.00051015011634467292303263382523418166350.00%40100.00%032969747.20%34872248.20%21342849.77%574266615314626312
17Senators11000000532000000000001100000053221.0005712001634467362303263382533151714400.00%6266.67%032969747.20%34872248.20%21342849.77%574266615314626312
18White Wolves31101000151231010000024-221001000138540.6671526410016344671002303263382511330976020945.00%16475.00%032969747.20%34872248.20%21342849.77%574266615314626312
19Wolves10001000541100010005410000000000021.00058130016344673223032633825431882182150.00%7185.71%032969747.20%34872248.20%21342849.77%574266615314626312
Total301112040121019471567010105249315550300249454340.567101163264021634467909230326338259643098085891274434.65%1453973.10%232969747.20%34872248.20%21342849.77%574266615314626312
_Since Last GM Reset301112040121019471567010105249315550300249454340.567101163264021634467909230326338259643098085891274434.65%1453973.10%232969747.20%34872248.20%21342849.77%574266615314626312
_Vs Conference249903012817561256000104140112430300240355280.58381133214021634467748230326338257642376424841103632.73%1113271.17%232969747.20%34872248.20%21342849.77%574266615314626312
_Vs Division1375020124243-15330001015150842020022728-1220.846426710900163446740223032633825436143306249511937.25%631674.60%232969747.20%34872248.20%21342849.77%574266615314626312

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3034L210116326490996430980858902
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
301112401210194
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
156710105249
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
155530024945
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1274434.65%1453973.10%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
230326338251634467
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
32969747.20%34872248.20%21342849.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
574266615314626312


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
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
Assistance37,50077,985
Assistance PCT100.00%94.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 7699 - 96.24% 177,343$2,660,148$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,122,190$ 2,584,043$ 2,584,043$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,936$ 1,122,190$ 26 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,610,923$ 120 16,936$ 2,032,320$




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