Connexion

Dynamos
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Bruce Gauvreau | Morale : 50 | Moyenne d’équipe : 70
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralBruce Gauvreau
DivisionRichard
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure18
Limite contact 35 / 55
Espoirs20


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique125-189-16 (0.379%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)12-11
Coupe Stanley0


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
1Radek FaksaXX100.008068908187799068786670875082810867203021,201,001$
2Philip Tomasino (R)X100.007656959175814077668172736469710937202311,066,667$
3Kiefer SherwoodX100.009562808486794073506977755468710877102900$
4Anton BlidhX100.009359848686764070507367765067690726902900$
5Dryden HuntX100.009159858186788369506968685170710876802800$
6Rem Pitlick (R)X100.007058909175785170556970676269720866802711,100,000$
7Johnathan Kovacevic (R)X100.00816389848283886650686473506870085710272851,001$
8Logan StanleyX100.009272777593794065506663715070710886802600$
9Dysin MayoX100.00916088858577406050606070506868086660281901,001$
10Christian WolaninX100.005956948475814063506560655068690886502900$
Rayé
1Pierre-Edouard BellemareX100.008064958782798870826871905083800637303900$
2Tyler PitlickX100.008962968886764266506764755074750486803300$
3Nick Blankenburg (R)X100.00885990858085427350757071506870080710261825,000$
4Alexander Alexeyev (R)X100.007965978484824064506860715068680816802400$
MOYENNE D’ÉQUIPE100.0083628985838055685669677452717208169
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
1Kaapo Kahkonen100.00737978907174757673757670740887302812,500,000$
2Erik Kallgren (R)100.00736562887174757475717365680866902800$
Rayé
1Eric Comrie100.00807069817679737573777568710917202911,800,000$
MOYENNE D’ÉQUIPE100.007571708673767475747475687108871
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Alexander AlexeyevDynamos (FLS)D241999-11-15 14:21:12Yes213 Lbs6 ft4NoNoN/ANoNo0Pro & Farm0$0$No------------------
Anton BlidhDynamos (FLS)LW291995-03-14 16:25:16No189 Lbs6 ft1NoNoFree AgentNoNo02024-03-15Pro & Farm0$0$No------------------
Christian WolaninDynamos (FLS)D291995-03-17 04:12:03No190 Lbs6 ft2NoNoN/ANoNo0Pro & Farm0$0$No------------------
Dryden HuntDynamos (FLS)LW281995-11-24 07:37:39No193 Lbs6 ft0NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Dysin MayoDynamos (FLS)D281996-08-17 04:20:42No183 Lbs6 ft2NoNoN/ANoNo1Pro & Farm901,001$901,001$0$0$No------------------
Eric ComrieDynamos (FLS)G291995-07-06 09:57:49No175 Lbs6 ft1NoNoFree AgentNoNo12024-03-15Pro & Farm1,800,000$1,800,000$0$0$No------------------
Erik KallgrenDynamos (FLS)G281996-10-14 04:46:10Yes200 Lbs6 ft3NoNoN/ANoNo0Pro & Farm0$0$No------------------
Johnathan KovacevicDynamos (FLS)D271997-07-12 05:14:09Yes208 Lbs6 ft4NoNoFree AgentNoNo22024-03-03Pro & Farm851,001$851,001$0$0$No851,001$--------No--------
Kaapo KahkonenDynamos (FLS)G281996-08-16 14:59:35No217 Lbs6 ft2NoNoFree AgentNoNo12024-03-25Pro & Farm2,500,000$2,500,000$0$0$No------------------
Kiefer SherwoodDynamos (FLS)LW291995-03-31 12:04:47No194 Lbs6 ft0NoNoN/ANoNo0Pro & Farm0$0$No------------------
Logan StanleyDynamos (FLS)D261998-05-26 15:46:54No228 Lbs6 ft7NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Nick BlankenburgDynamos (FLS)D261998-05-12 14:26:56Yes177 Lbs5 ft9NoNoN/ANoNo1Pro & Farm825,000$825,000$0$0$No------------------
Philip TomasinoDynamos (FLS)C232001-07-28 12:13:57Yes179 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,066,667$1,066,667$0$0$No------------------
Pierre-Edouard BellemareDynamos (FLS)C391985-03-06 08:23:58No198 Lbs6 ft0NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Radek FaksaDynamos (FLS)C/LW301994-01-09 03:26:19No216 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,201,001$1,201,001$0$0$No1,201,001$--------No--------Lien
Rem PitlickDynamos (FLS)C271997-04-02 04:38:41Yes186 Lbs5 ft11NoNoFree AgentNoNo12024-03-03Pro & Farm1,100,000$1,100,000$0$0$No------------------
Tyler PitlickDynamos (FLS)RW331991-11-01 09:26:19No202 Lbs6 ft0NoNoFree AgentNoNo02024-03-15Pro & Farm0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1728.41197 Lbs6 ft10.59602,628$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Kiefer Sherwood30122
3Dryden HuntRem Pitlick20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Logan Stanley30122
3Dysin MayoChristian Wolanin20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Kiefer Sherwood40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Logan Stanley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Kiefer Sherwood40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Logan Stanley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Logan Stanley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Kiefer Sherwood40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Logan Stanley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rem Pitlick, Dryden Hunt, Rem Pitlick, Dryden Hunt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, Christian Wolanin, Logan StanleyDysin MayoChristian Wolanin, Logan Stanley
Tirs de pénalité
, , , Kiefer Sherwood,
Gardien
#1 : , #2 : , #3 : Erik Kallgren


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,024,467$ 1,024,467$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Dynamos 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
1Dryden Hunt92699916822391356949913.83%36169018.372736634411214252.22%61.9901
2Vince Dunn4336961321121496130411.84%61106224.72273966551459520%12.4801
3Jordan Martinook5756691251617776332317.34%42119020.892228504321345367.91%52.1001
4Jake Evans824379122383911911732413.27%29147017.931033432710187068.43%01.6602
5Brandon Sutter313953922433325720718.84%2168021.941316292201102166.12%52.7100

Dynamos 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
1Kaapo Kahkonen1211010.9151.907250023270125000.6673
2Eric Comrie76000.9282.073772013180881000

Dynamos 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
Saison régulière
202082284903200427534-10741162302000221258-3741122601200206276-7064427770119700881721643245575185384652936977644112425612147.27%28816841.67%12591120649.00%619129747.73%911193647.06%1683101218797421362639
202182274802410416508-9241132201410216238-2241142601000200270-70644167421158008016716642655796919929142858901687119727215356.25%30417143.75%14586128945.46%516126640.76%761189540.16%166399918967501367631
202282235006300366515-14941112306100190249-5941122700200176266-90613666911057005814315961886458635775182820970692115224210442.98%30617343.46%15431103141.80%487128138.02%705182838.57%150183020338061400622
202382324203302368437-6941172101101192214-2241152102201176223-47753686731041005716714132234665811754102419792597130627211943.75%27214048.53%15648121153.51%580122047.54%814172647.16%1760102517667461408697
Total Saison régulière328110189014121215771994-4171645789010611819959-14016453100046017581035-277264157728764453002836496301692302670321833044711033364026204779104249747.70%117065244.27%562256473747.63%2202506443.48%3191738543.21%660938677576304555392590
Séries éliminatoires
202140400000937-2820200000416-1220200000521-16091120002250148446341018877556912216.67%191521.05%04710843.52%358342.17%368940.45%794898346128
202319127000009460349540000040328107300000542826249416525900252938277426721927018809295208290652944.62%742664.86%321044547.19%22253041.89%19038149.87%436286440162290140
Total Séries éliminatoires231211000001039761156000004448-41275000005949102410317627900273143292231128231118997372263359773140.26%934155.91%325755346.47%25761341.92%22647048.09%516335539196352168

Dynamos 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
1Tyler Pitlick17142236150261311012.73%1834820.4968142100002158.82%02.0700
2Kiefer Sherwood19161430122330229916.16%1130416.0155101000001078.95%11.9700
3Logan Stanley2311415-2362220711.41%2941818.1813420114000%00.7200
4Dryden Hunt235712-272511796.33%1429212.73011100000068.75%10.8200
5Rem Pitlick19561185913598.47%321811.48011000002062.44%01.0100

Dynamos 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
1Eric Comrie118210.9232.9068320334312221000
2Erik Kallgren84310.9293.3548300273781950000