Connexion

Dynamos
GP: 13 | W: 10 | L: 3
GF: 73 | GA: 38 | PP%: 50.00% | PK%: 67.39%
DG: Bruce Gauvreau | Morale : 94 | Moyenne d’équipe : 70
Prochains matchs #89 vs Destroyers
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Dynamos
10-3-0, 20pts
10
FINAL
2 Destroyers
8-2-0, 16pts
Team Stats
W2SéquenceL2
3-2-0Fiche domicile4-2-0
7-1-0Fiche domicile4-0-0
7-2-1Derniers 10 matchs8-2-0
5.62Buts par match 7.30
2.92Buts contre par match 5.30
50.00%Pourcentage en avantage numérique63.83%
67.39%Pourcentage en désavantage numérique52.38%
Dynamos
10-3-0, 20pts
7
FINAL
3 Destroyers
8-2-0, 16pts
Team Stats
W2SéquenceL2
3-2-0Fiche domicile4-2-0
7-1-0Fiche domicile4-0-0
7-2-1Derniers 10 matchs8-2-0
5.62Buts par match 7.30
2.92Buts contre par match 5.30
50.00%Pourcentage en avantage numérique63.83%
67.39%Pourcentage en désavantage numérique52.38%
Destroyers
8-2-0, 16pts
Jour 33
Dynamos
10-3-0, 20pts
Statistiques d’équipe
L2SéquenceW2
4-2-0Fiche domicile3-2-0
4-0-0Fiche visiteur7-1-0
8-2-010 derniers matchs7-2-1
7.30Buts par match 5.62
5.30Buts contre par match 5.62
63.83%Pourcentage en avantage numérique50.00%
52.38%Pourcentage en désavantage numérique67.39%
Destroyers
8-2-0, 16pts
Jour 35
Dynamos
10-3-0, 20pts
Statistiques d’équipe
L2SéquenceW2
4-2-0Fiche domicile3-2-0
4-0-0Fiche visiteur7-1-0
8-2-010 derniers matchs7-2-1
7.30Buts par match 5.62
5.30Buts contre par match 5.62
63.83%Pourcentage en avantage numérique50.00%
52.38%Pourcentage en désavantage numérique67.39%
Dynamos
10-3-0, 20pts
Jour 37
Destroyers
8-2-0, 16pts
Statistiques d’équipe
W2SéquenceL2
3-2-0Fiche domicile4-2-0
7-1-0Fiche visiteur4-0-0
7-2-110 derniers matchs8-2-0
5.62Buts par match 7.30
2.92Buts contre par match 7.30
50.00%Pourcentage en avantage numérique63.83%
67.39%Pourcentage en désavantage numérique52.38%
Meneurs d'équipe
Buts
Kiefer Sherwood
13
Passes
Tyler Pitlick
19
Points
Tyler Pitlick
29
Plus/Moins
Tyler Pitlick
14
Victoires
Eric Comrie
8
Pourcentage d’arrêts
Erik Kallgren
0.948

Statistiques d’équipe
Buts pour
73
5.62 GFG
Tirs pour
551
42.38 Avg
Pourcentage en avantage numérique
50.0%
24 GF
Début de zone offensive
33.1%
Buts contre
38
2.92 GAA
Tirs contre
528
40.62 Avg
Pourcentage en désavantage numérique
67.4%%
15 GA
Début de la zone défensive
36.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure18
Limite contact 35 / 55
Espoirs20


Historique d'équipe

Saison actuelle10-3
Historique125-189-16 (0.379%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)10-7
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 FaksaXX100.008068908187799068786670875082810867203031,201,001$
2Philip Tomasino (R)X100.007656959175814077668172736469710937202221,066,667$
3Kiefer SherwoodX100.00956280848679407350697775546871091710291750,000$
4Anton BlidhX100.00935984868676407050736776506769070690291751,001$
5Dryden Hunt (R)X100.00915985818678836950696868517071091680281762,500$
6Rem Pitlick (R)X100.007058909175785170556970676269720906802721,100,000$
7Tyler PitlickX100.008962968886764266506764755074750576803211,750,000$
8Johnathan Kovacevic (R)X100.00816389848283886650686473506870085710273851,001$
9Logan StanleyX100.009272777593794065506663715070710916802611,137,500$
10Dysin MayoX100.00916088858577406050606070506868090660272901,001$
11Christian WolaninX100.00595694847581406350656065506869089650291750,000$
Rayé
1Pierre-Edouard BellemareX100.008064958782798870826871905083800647303911,800,000$
2Nick Blankenburg (R)X100.00885990858085427350757071506870081710262825,000$
3Alexander Alexeyev (R)X100.00796597848482406450686071506868085680241925,000$
MOYENNE D’ÉQUIPE100.0083628985838055685669677452717208369
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 Kahkonen (R)100.00737978907174757673757670740887302722,500,000$
2Erik Kallgren (R)98.0073656288717475747571736568091690271851,001$
Rayé
1Eric Comrie100.00807069817679737573777568710927202921,800,000$
MOYENNE D’ÉQUIPE99.337571708673767475747475687109071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Hakstol76829093787099CAN551550,000$


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
1Tyler PitlickDynamos (FLS)RW131019291400221091427710.99%1329122.4547111742000001164.29%14329001.9900000231
2Kiefer SherwoodDynamos (FLS)LW131311248115211568184419.12%821216.3355101019000011073.33%152814012.2600100303
3Logan StanleyDynamos (FLS)D1311112225510113617202.78%1522117.0212315011210000%0412001.0800010011
4Nick BlankenburgDynamos (FLS)D53710600974020247.50%513527.10235712101311010%074001.4800000101
5Rem PitlickDynamos (FLS)C133697554113618248.33%314010.8201100000002063.12%141195001.2800001002
6Radek FaksaDynamos (FLS)C/LW45494009229192117.24%67819.6322424000001062.50%7280002.2900000121
7Dysin MayoDynamos (FLS)D13167140011415766.67%1114411.080000100000000%049000.9700000010
8Christian WolaninDynamos (FLS)D13077115505134110%613310.310000000003000%044001.0400010000
9Dryden HuntDynamos (FLS)LW134377201244116229.76%413810.6800000000000077.78%963011.0100000100
Statistiques d’équipe totales ou en moyenne1004074114734820986936916124910.84%71149614.9714203437871125285264.14%25111260021.5200121879
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
1Eric ComrieDynamos (FLS)118210.9232.90683203343122210001111120
2Erik KallgrenDynamos (FLS)22000.9482.501200059752000022010
Statistiques d’équipe totales ou en moyenne1310210.9282.8480320385282741001313130


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/ANoNo1Pro & Farm925,000$220,238$0$0$No------------------
Anton BlidhDynamos (FLS)LW291995-03-14 16:25:16No189 Lbs6 ft1NoNoFree AgentNoNo12024-03-15Pro & Farm751,001$178,810$0$0$No------------------
Christian WolaninDynamos (FLS)D291995-03-17 04:12:03No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$178,571$0$0$No------------------
Dryden HuntDynamos (FLS)LW281995-11-24 07:37:39Yes193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm762,500$181,548$0$0$No------------------Lien
Dysin MayoDynamos (FLS)D271996-08-17 04:20:42No183 Lbs6 ft2NoNoN/ANoNo2Pro & Farm901,001$214,524$0$0$No901,001$--------No--------
Eric ComrieDynamos (FLS)G291995-07-06 09:57:49No175 Lbs6 ft1NoNoFree AgentNoNo22024-03-15Pro & Farm1,800,000$428,571$0$0$No1,800,000$--------No--------
Erik KallgrenDynamos (FLS)G271996-10-14 04:46:10Yes200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm851,001$202,619$0$0$No------------------
Johnathan KovacevicDynamos (FLS)D271997-07-12 05:14:09Yes208 Lbs6 ft4NoNoFree AgentNoNo32024-03-03Pro & Farm851,001$202,619$0$0$No851,001$851,001$-------NoNo-------
Kaapo KahkonenDynamos (FLS)G271996-08-16 14:59:35Yes217 Lbs6 ft2NoNoFree AgentNoNo22024-03-25Pro & Farm2,500,000$595,238$0$0$No2,500,000$--------No--------
Kiefer SherwoodDynamos (FLS)LW291995-03-31 12:04:47No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$178,571$0$0$No------------------
Logan StanleyDynamos (FLS)D261998-05-26 15:46:54No228 Lbs6 ft7NoNoN/ANoNo1Pro & Farm1,137,500$270,833$0$0$No------------------Lien
Nick BlankenburgDynamos (FLS)D261998-05-12 14:26:56Yes177 Lbs5 ft9NoNoN/ANoNo2Pro & Farm825,000$196,429$0$0$No825,000$--------No--------
Philip TomasinoDynamos (FLS)C222001-07-28 12:13:57Yes179 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,066,667$253,968$0$0$No1,066,667$--------No--------
Pierre-Edouard BellemareDynamos (FLS)C391985-03-06 08:23:58No198 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,800,000$428,571$0$0$No------------------Lien
Radek FaksaDynamos (FLS)C/LW301994-01-09 03:26:19No216 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,201,001$285,953$0$0$No1,201,001$1,201,001$-------NoNo-------Lien
Rem PitlickDynamos (FLS)C271997-04-02 04:38:41Yes186 Lbs5 ft11NoNoFree AgentNoNo22024-03-03Pro & Farm1,100,000$261,905$0$0$No1,100,000$--------No--------
Tyler PitlickDynamos (FLS)RW321991-11-01 09:26:19No202 Lbs6 ft0NoNoFree AgentNoNo12024-03-15Pro & Farm1,750,000$416,667$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1728.12197 Lbs6 ft11.591,160,098$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler Pitlick40122
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
1Tyler Pitlick60122
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
Tyler Pitlick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler Pitlick
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rem Pitlick, Dryden Hunt, Tyler PitlickRem Pitlick, Dryden HuntTyler Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, Christian Wolanin, Logan StanleyDysin MayoChristian Wolanin, Logan Stanley
Tirs de pénalité
, , , Kiefer Sherwood, Tyler Pitlick
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
1Destroyers220000001751200000000000220000001751241.0001730470020203127818914519918972922237571.43%6266.67%015630451.32%15133844.67%14827653.62%312203287107203102
2Monkeys 4400000030723220000001138220000001941581.00030538300202031218218914519918120404460151173.33%12558.33%115630451.32%15133844.67%14827653.62%312203287107203102
3Patriotes7430000026260312000001214-2431000001412280.571264672002020312291189145199183111135611226830.77%28871.43%115630451.32%15133844.67%14827653.62%312203287107203102
Total1310300000733835532000002317687100000502129200.7697312920200202031255118914519918528182122195482450.00%461567.39%215630451.32%15133844.67%14827653.62%312203287107203102
_Since Last GM Reset1310300000733835532000002317687100000502129200.7697312920200202031255118914519918528182122195482450.00%461567.39%215630451.32%15133844.67%14827653.62%312203287107203102
_Vs Conference1310300000733835532000002317687100000502129200.7697312920200202031255118914519918528182122195482450.00%461567.39%215630451.32%15133844.67%14827653.62%312203287107203102

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1320W27312920255152818212219500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1310300007338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002317
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
87100005021
Derniers 10 matchs
WLOTWOTL SOWSOL
522100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
482450.00%461567.39%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
189145199182020312
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
15630451.32%15133844.67%14827653.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
312203287107203102


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
12Dynamos11Monkeys 1AWSommaire du match
310Dynamos8Monkeys 3AWSommaire du match
518Monkeys 2Dynamos5BWSommaire du match
726Monkeys 1Dynamos6BWSommaire du match
1557Dynamos3Patriotes2AWXSommaire du match
1761Dynamos3Patriotes4ALXSommaire du match
1965Patriotes4Dynamos2BLSommaire du match
2169Patriotes2Dynamos5BWSommaire du match
2373Dynamos4Patriotes3AWSommaire du match
2577Patriotes8Dynamos5BLSommaire du match
2781Dynamos4Patriotes3AWXSommaire du match
2985Dynamos10Destroyers2AWSommaire du match
3187Dynamos7Destroyers3AWSommaire du match
3389Destroyers-Dynamos-
3591Destroyers-Dynamos-
3793Dynamos-Destroyers-
3995Destroyers-Dynamos-
4197Dynamos-Destroyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,972,167$ 1,972,167$ 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$ 10 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
20231310300000733835532000002317687100000502129207312920200202031255118914519918528182122195482450.00%461567.39%215630451.32%15133844.67%14827653.62%312203287107203102
Total Séries éliminatoires171070000082757734000002733-6107300000554213208214022200222236269923320824018716259177264602643.33%653053.85%220341249.27%18642144.18%18436550.41%392252386141264131

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 Pitlick1310192914022109110.99%1329122.4547111700001164.29%01.9900
2Kiefer Sherwood1313112481121156819.12%821216.3355101000001073.33%12.2600
3Logan Stanley1711213-5291916541.85%2732719.2513420114000%00.7900
4Nick Blankenburg537106097407.50%513527.1023571013010%01.4800
5Dryden Hunt175510-37229568.93%922213.11011000000071.43%10.9000

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 Kallgren22000.9482.5012000597520000