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Dynamos
GP: 36 | W: 30 | L: 6 | OTL: 0 | P: 60
GF: 232 | GA: 131 | PP%: 67.50% | PK%: 55.28%
DG: Bruce Gauvreau | Morale : 93 | Moyenne d’équipe : 67
Prochains matchs #435 vs Monkeys

Centre de jeu
Destroyers
32-4-0, 64pts
5
FINAL
1 Dynamos
30-6-0, 60pts
Team Stats
SOW1SéquenceW1
17-1-0Fiche domicile15-3-0
15-3-0Fiche domicile15-3-0
10-0-0Derniers 10 matchs7-3-0
6.64Buts par match 6.44
3.19Buts contre par match 3.64
69.52%Pourcentage en avantage numérique67.50%
61.54%Pourcentage en désavantage numérique55.28%
Dynamos
30-6-0, 60pts
6
FINAL
4 National
33-3-0, 66pts
Team Stats
W1SéquenceL1
15-3-0Fiche domicile16-2-0
15-3-0Fiche domicile17-1-0
7-3-0Derniers 10 matchs9-1-0
6.44Buts par match 8.03
3.64Buts contre par match 3.19
67.50%Pourcentage en avantage numérique52.63%
55.28%Pourcentage en désavantage numérique60.64%
Dynamos
30-6-0, 60pts
Jour 70
Monkeys
14-18-4, 32pts
Statistiques d’équipe
W1SéquenceL1
15-3-0Fiche domicile7-10-1
15-3-0Fiche visiteur7-8-3
7-3-010 derniers matchs3-5-2
6.44Buts par match 5.56
3.64Buts contre par match 5.56
67.50%Pourcentage en avantage numérique56.15%
55.28%Pourcentage en désavantage numérique52.48%
Senators
7-26-2, 16pts
Jour 72
Dynamos
30-6-0, 60pts
Statistiques d’équipe
L1SéquenceW1
6-12-0Fiche domicile15-3-0
1-14-2Fiche visiteur15-3-0
4-6-010 derniers matchs7-3-0
4.00Buts par match 6.44
7.23Buts contre par match 6.44
37.23%Pourcentage en avantage numérique67.50%
36.43%Pourcentage en désavantage numérique55.28%
Dynamos
30-6-0, 60pts
Jour 74
Senators
7-26-2, 16pts
Statistiques d’équipe
W1SéquenceL1
15-3-0Fiche domicile6-12-0
15-3-0Fiche visiteur1-14-2
7-3-010 derniers matchs4-6-0
6.44Buts par match 4.00
3.64Buts contre par match 4.00
67.50%Pourcentage en avantage numérique37.23%
55.28%Pourcentage en désavantage numérique36.43%
Meneurs d'équipe
Buts
Alexander Holtz
37
Passes
Alexander Holtz
41
Points
Alexander Holtz
78
Plus/Moins
Logan Stanley
40
Victoires
Kaapo Kahkonen
16
Pourcentage d’arrêts
Eric Comrie
0.912

Statistiques d’équipe
Buts pour
232
6.44 GFG
Tirs pour
1369
38.03 Avg
Pourcentage en avantage numérique
67.5%
81 GF
Début de zone offensive
29.3%
Buts contre
131
3.64 GAA
Tirs contre
1268
35.22 Avg
Pourcentage en désavantage numérique
55.3%%
55 GA
Début de la zone défensive
39.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure18
Limite contact 36 / 55
Espoirs19


Historique d'équipe

Saison actuelle30-6-0 (60PTS)
Historique155-195-16 (0.423%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)12 - 11 (0.522%)
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
1William Eklund (R)X99.007056929174849177507975696768720697202231,713,333$
2Anton BlidhX100.0093598486867640705073677650676907169N0302775,000$
3Philip Tomasino (R)X99.006456879175744575507773695171710666902311,066,667$
4Pierre-Edouard BellemareX100.0070649687826943657263678450848005868N04011,800,000$
5Dryden HuntX99.0093669481867240695069687250707305768N0292775,000$
6Tyler PitlickX100.0089629688867642665067647550747506768N03311,750,000$
7Alexander Holtz (R)X99.007058968979738971506775655369710776802321,744,167$
8Will Cuylle (R)X100.00956285858872886950657270506971081680232902,500$
9Rem Pitlick (R)X100.007858959177784060506060725069720836402811,100,000$
10Matt Coronato (R)X100.005050505050505050505050505050500834902221,491,667$
11Alexander Alexeyev (R)X99.00796597848482406450686071506868084680252925,000$
12Logan StanleyX99.009272777593794065506663715070710836802711,137,500$
13Anthony DeAngeloX100.0050618484757640715073696250767803767N0291751,001$
14Dysin MayoX100.00916088858577406050606070506868083660281901,001$
Rayé
1Urho Vaakanainen (R)X99.23755792858081776650696276506972078700261850,000$
2Nick Blankenburg (R)X100.00895993858079406450606873506870071670271825,000$
MOYENNE D’ÉQUIPE99.5678608884807553665167667051697107267
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 Kahkonen95.00737978907174757673757670740697302812,500,000$
2Eric Comrie100.00807069817679737573777568710887202911,800,000$
Rayé
MOYENNE D’ÉQUIPE97.507775748674777476737676697307973
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Huska75798392707099CAN492550,000$


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
1Alexander HoltzDynamos (FLS)RW363741782624105227147479025.17%2363717.701918373073000085357.89%574417032.4500002574
2Pierre-Edouard BellemareDynamos (FLS)C281537521140395388186617.05%1850017.88717241557000033067.19%5732716022.0800000142
3Logan StanleyDynamos (FLS)D36113849408725784983353713.25%5996426.80616221269112379000%01640001.0200221024
4Philip TomasinoDynamos (FLS)C2218304816140434791305919.78%1752423.86414188360004582152.03%6402320021.8312000450
5Will CuylleDynamos (FLS)LW36272148221755731165489216.36%2759616.57000010111304058.82%17389011.6100100523
6Urho VaakanainenDynamos (FLS)D25153247332010444371332821.13%4867927.181113241743011371200%01346001.3800002153
7Rem PitlickDynamos (FLS)C36212445281154344106435819.81%1264317.886398150000141058.22%3592921021.4000001223
8Tyler PitlickDynamos (FLS)RW291623391320572496264716.67%1146215.9451015831000001053.85%132318011.6900000410
9Alexander AlexeyevDynamos (FLS)D36627333040384410338525.83%5381522.65549959011380100%01342000.8100000010
10Anton BlidhDynamos (FLS)LW221815332120431689376420.22%845220.5967139301013322036.36%222315011.4611000302
11Jordan MartinookFlashLW1381220995231351152215.69%929722.872682180000411153.70%108612001.3511001202
12Matt CoronatoDynamos (FLS)RW366101616360332233122018.18%1254015.02112130000141047.50%40112000.5900000002
13William EklundDynamos (FLS)LW108715440151146162917.39%1023223.211341230000180048.61%7286001.2911000112
14Nick BlankenburgDynamos (FLS)D331101140024195713221.75%1847314.360110130001120050.00%4738000.4600000001
15Dysin MayoDynamos (FLS)D3607741203924417170%3148913.60000130111340075.00%4329000.2900000000
16Anthony DeAngeloDynamos (FLS)D121675606412558.33%1220917.49112112000020000%0315000.6700000000
17Dryden HuntDynamos (FLS)LW14246120221195822.22%1020014.3202201000040075.00%4317100.6000000001
Statistiques d’équipe totales ou en moyenne46021034455426426460656482128842871616.30%378872118.96741161901224942571952723557.76%19132803731121.2745327283029
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
1Kaapo KahkonenDynamos (FLS)2116500.8854.1412190084733342500.8005210001
2Eric ComrieDynamos (FLS)1614100.9122.97950214753525710001522001
Statistiques d’équipe totales ou en moyenne3730600.8973.6221702113112685996053622002


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
Alexander AlexeyevDynamos (FLS)D251999-11-15RUSYes213 Lbs6 ft4NoNoFree AgentNoNo22025-04-11FalseFalsePro & Farm925,000$490,816$0$0$No925,000$--------925,000$--------No--------
Alexander HoltzDynamos (FLS)RW232002-01-23SUÈYes198 Lbs6 ft0NoNoDraftNoNo22025-01-01FalseFalsePro & Farm1,744,167$925,476$0$0$No1,744,167$--------1,744,167$--------No--------
Anthony DeAngeloDynamos (FLS)D291995-10-24USANo181 Lbs5 ft11YesNoFree AgentNoNo12025-04-24FalseFalsePro & Farm751,001$398,490$0$0$No---------------------------Lien
Anton BlidhDynamos (FLS)LW301995-03-14SUÈNo189 Lbs6 ft1YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm775,000$411,224$0$0$No775,000$--------775,000$--------Yes--------
Dryden HuntDynamos (FLS)LW291995-11-24CANNo193 Lbs6 ft0YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm775,000$411,224$0$0$No775,000$--------775,000$--------Yes--------Lien
Dysin MayoDynamos (FLS)D281996-08-17CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm901,001$478,082$0$0$No---------------------------
Eric ComrieDynamos (FLS)G291995-07-06CANNo175 Lbs6 ft1NoNoFree AgentNoNo12024-03-15FalseFalsePro & Farm1,800,000$955,102$0$0$No---------------------------
Kaapo Kahkonen (sur la masse salariale)Dynamos (FLS)G281996-08-16FINNo217 Lbs6 ft2NoNoFree AgentNoNo12024-03-25FalseFalsePro & Farm2,500,000$1,326,531$0$0$No---------------------------
Logan StanleyDynamos (FLS)D271998-05-26CANNo228 Lbs6 ft7NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm1,137,500$603,571$0$0$No---------------------------Lien
Matt CoronatoDynamos (FLS)RW222002-11-14USAYes183 Lbs5 ft10NoNoDraftNoNo22025-01-01FalseFalsePro & Farm1,491,667$791,497$0$0$No1,491,667$--------1,491,667$--------No--------
Nick BlankenburgDynamos (FLS)D271998-05-12USAYes177 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm825,000$437,755$0$0$No---------------------------
Philip TomasinoDynamos (FLS)C232001-07-28CANYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,066,667$565,987$0$0$No---------------------------
Pierre-Edouard BellemareDynamos (FLS)C401985-03-06FRANo198 Lbs6 ft0YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm1,800,000$955,102$0$0$No---------------------------Lien
Rem PitlickDynamos (FLS)C281997-04-02CANYes186 Lbs5 ft11NoNoFree AgentNoNo12024-03-03FalseFalsePro & Farm1,100,000$583,673$0$0$No---------------------------
Tyler PitlickDynamos (FLS)RW331991-11-01USANo202 Lbs6 ft0YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm1,750,000$928,571$0$0$No---------------------------Lien
Urho VaakanainenDynamos (FLS)D261999-01-01FINYes205 Lbs6 ft2NoNoDraftNoNo12025-01-01FalseFalsePro & Farm850,000$451,020$0$0$No---------------------------
Will CuylleDynamos (FLS)LW232002-02-05CANYes212 Lbs6 ft3NoNoDraftNoNo22025-01-01FalseFalsePro & Farm902,500$478,878$0$0$No902,500$--------902,500$--------No--------
William EklundDynamos (FLS)LW222002-10-12SUÈYes181 Lbs5 ft11NoNoDraftNoNo32025-01-01FalseFalsePro & Farm1,713,333$909,115$0$0$No1,713,333$1,713,333$-------1,713,333$1,713,333$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1827.33194 Lbs6 ft11.441,267,102$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William EklundPhilip TomasinoAlexander Holtz40122
2Anton BlidhPierre-Edouard BellemareTyler Pitlick30122
3Will CuylleRem PitlickMatt Coronato20122
4Dryden HuntWilliam EklundPhilip Tomasino10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyAlexander Alexeyev40122
2Anthony DeAngelo30122
3Dysin MayoDryden Hunt20122
4Logan StanleyAlexander Alexeyev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William EklundPhilip TomasinoAlexander Holtz60122
2Anton BlidhPierre-Edouard BellemareTyler Pitlick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyAlexander Alexeyev60122
2Anthony DeAngelo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1William EklundPhilip Tomasino60122
2Anton BlidhWill Cuylle40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyAlexander Alexeyev60122
2Anthony DeAngelo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1William Eklund60122Logan StanleyAlexander Alexeyev60122
2Philip Tomasino40122Anthony DeAngelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1William EklundPhilip Tomasino60122
2Anton BlidhWill Cuylle40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyAlexander Alexeyev60122
2Anthony DeAngelo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William EklundPhilip TomasinoAlexander HoltzLogan StanleyAlexander Alexeyev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William EklundPhilip TomasinoAlexander HoltzLogan StanleyAlexander Alexeyev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rem Pitlick, Matt Coronato, Alexander HoltzRem Pitlick, Matt CoronatoAlexander Holtz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, Anthony DeAngelo, Dysin MayoAnthony DeAngelo,
Tirs de pénalité
William Eklund, Philip Tomasino, Anton Blidh, Will Cuylle, Alexander Holtz
Gardien
#1 : Kaapo Kahkonen, #2 : Eric Comrie


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
1Bolt1010000023-1000000000001010000023-100.0002350070847642247842046973815222200.00%10100.00%036665555.88%45287751.54%41270458.52%833487725272611347
2Brawlers4400000029151422000000158722000000147781.0002948770070847641774784204697151432775171164.71%11736.36%036665555.88%45287751.54%41270458.52%833487725272611347
3Destroyers53200000272523210000016133211000001112-160.600274572007084764171478420469724987649715960.00%171135.29%036665555.88%45287751.54%41270458.52%833487725272611347
4Falcons11000000523110000005230000000000021.000591400708476439478420469731108142150.00%40100.00%036665555.88%45287751.54%41270458.52%833487725272611347
5Intrepides211000001413111000000103710100000410-620.500142337007084764714784204697681716504375.00%8625.00%136665555.88%45287751.54%41270458.52%833487725272611347
6L'Euphorie20200000511-620200000511-60000000000000.000591400708476449478420469711728222622100.00%11645.45%036665555.88%45287751.54%41270458.52%833487725272611347
7Les Restants11000000422110000004220000000000021.000459007084764354784204697205232300.00%110.00%036665555.88%45287751.54%41270458.52%833487725272611347
8Monkeys 210000101284100000108711100000041341.000121830007084764864784204697692521557457.14%8537.50%036665555.88%45287751.54%41270458.52%833487725272611347
9Monsters4400000030921220000001521322000000157881.0003049790070847641674784204697137554586171270.59%10460.00%036665555.88%45287751.54%41270458.52%833487725272611347
10National11000000642000000000001100000064221.000691500708476440478420469743146306350.00%3166.67%036665555.88%45287751.54%41270458.52%833487725272611347
11Patriotes33000000247171100000091822000000156961.00024416500708476413947842046978130205512866.67%9544.44%136665555.88%45287751.54%41270458.52%833487725272611347
12Prospects10000010431000000000001000001043121.00045900708476428478420469734148253266.67%4175.00%036665555.88%45287751.54%41270458.52%833487725272611347
13Senators330000002381511000000642220000001741361.000233659017084764107478420469762212074121191.67%10190.00%036665555.88%45287751.54%41270458.52%833487725272611347
14Shokers11000000633110000006330000000000021.000691500708476432478420469740146244250.00%30100.00%036665555.88%45287751.54%41270458.52%833487725272611347
15Warriors110000001211111000000121110000000000021.000121931007084764584784204697171135213266.67%5180.00%136665555.88%45287751.54%41270458.52%833487725272611347
16Wildcats220000001376110000006241100000075241.0001322350070847647447842046974610204844100.00%10460.00%036665555.88%45287751.54%41270458.52%833487725272611347
17Youngblood220000001610600000000000220000001610641.0001625410070847647447842046976533163977100.00%8275.00%036665555.88%45287751.54%41270458.52%833487725272611347
Total36286000202321311011814300010117595818143000101157243600.8332323756070170847641369478420469712684323387731208167.50%1235555.28%336665555.88%45287751.54%41270458.52%833487725272611347
_Since Last GM Reset36286000202321311011814300010117595818143000101157243600.8332323756070170847641369478420469712684323387731208167.50%1235555.28%336665555.88%45287751.54%41270458.52%833487725272611347
_Vs Conference2421200010166778913111000109040501110100000763739440.9171662704360170847649794784204697817287242509885865.91%753553.33%236665555.88%45287751.54%41270458.52%833487725272611347
_Vs Division817200000503317481000003013174910000020200342.125508313300708476430947842046972888553161251560.00%241345.83%136665555.88%45287751.54%41270458.52%833487725272611347

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3660W12323756071369126843233877301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
362860020232131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
18143001011759
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
18143001011572
Derniers 10 matchs
WLOTWOTL SOWSOL
630010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1208167.50%1235555.28%3
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
47842046977084764
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
36665555.88%45287751.54%41270458.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
833487725272611347


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
18Brawlers3Dynamos9WSommaire du match
324Warriors1Dynamos12WSommaire du match
429Dynamos10Destroyers5WSommaire du match
644Dynamos9Senators0WSommaire du match
857Dynamos8Brawlers5WSommaire du match
1061Destroyers4Dynamos10WSommaire du match
1274Dynamos7Youngblood2WSommaire du match
1487Patriotes1Dynamos9WSommaire du match
16107Wildcats2Dynamos6WSommaire du match
18116Dynamos9Patriotes2WSommaire du match
21131Monsters1Dynamos8WSommaire du match
22140Dynamos6Patriotes4WSommaire du match
24154L'Euphorie5Dynamos3LSommaire du match
27166Dynamos9Monsters5WSommaire du match
28172Senators4Dynamos6WSommaire du match
30192Monkeys 7Dynamos8WXXSommaire du match
32202Dynamos7Wildcats5WSommaire du match
34211Dynamos1Destroyers7LSommaire du match
36218Destroyers4Dynamos5WSommaire du match
38238L'Euphorie6Dynamos2LSommaire du match
40250Dynamos8Senators4WSommaire du match
42263Dynamos9Youngblood8WSommaire du match
44268Dynamos4Monkeys 1WSommaire du match
46283Brawlers5Dynamos6WSommaire du match
49299Falcons2Dynamos5WSommaire du match
50306Dynamos6Monsters2WSommaire du match
52317Dynamos6Brawlers2WSommaire du match
54329Monsters1Dynamos7WSommaire du match
56341Dynamos4Prospects3WXXSommaire du match
58353Les Restants2Dynamos4WSommaire du match
60369Intrepides3Dynamos10WSommaire du match
62374Dynamos4Intrepides10LSommaire du match
64389Shokers3Dynamos6WSommaire du match
65403Dynamos2Bolt3LSommaire du match
67414Destroyers5Dynamos1LSommaire du match
69422Dynamos6National4WSommaire du match
70435Dynamos-Monkeys -
72446Senators-Dynamos-
74459Dynamos-Senators-
76470Dynamos-Wildcats-
78481Falcons-Dynamos-
80494Patriotes-Dynamos-
81510Destroyers-Dynamos-
83521Dynamos-Vikings-
84531Dynamos-Extreme-
86544Extreme-Dynamos-
87551Dynamos-National-
89564Patriotes-Dynamos-
90574Dynamos-Patriotes-
92590Wildcats-Dynamos-
93604Dynamos-Intrepides-
95613Monster-Dynamos-
97626Dynamos-Monsters-
99638Dynamos-L'Euphorie-
100642Monsters-Dynamos-
101659Falcons-Dynamos-
102672Dynamos-Brawlers-
104685Dynamos-Patriotes-
106692Guerriers du Nord-Dynamos-
108706Dynamos-Guerriers du Nord-
109716Brawlers-Dynamos-
111728Dynamos-Prospects-
112739Patriotes-Dynamos-
114754Dynamos-Guerriers du Nord-
115764Brawlers-Dynamos-
117781Youngblood-Dynamos-
118785Dynamos-Falcons-
120806Distraction-Dynamos-
122820Dynamos-Youngblood-
123832Youngblood-Dynamos-
125843Dynamos-Youngblood-
126854Dynamos-Les Restants-
128862Les Restants-Dynamos-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
130879Sharks-Dynamos-
131886Dynamos-Warriors-
133904Monster-Dynamos-
134912Dynamos-Les Restants-
136928Senators-Dynamos-
139944Vikings-Dynamos-
142963Vikings-Dynamos-
144972Dynamos-Destroyers-
145981Dynamos-Warriors-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,283,578$ 2,280,784$ 2,280,784$ 550,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,023,151$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 78 19,257$ 1,502,046$




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 Hunt1067110317423411578050813.98%46189017.842738654411214253.19%61.8401
2Jordan Martinook70648114525261007637417.11%51148821.262434584521346461.57%51.9512
3Vince Dunn4336961321121496130411.84%61106224.72273966551459520%12.4801
4Tyler Pitlick68557412946121055226720.60%32121317.852632583810115161.68%52.1301
5Jake Evans824379122383911911732413.27%29147017.931033432710187068.43%01.6602

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 Kahkonen3327510.8933.301944001071003467500.7508
2Eric Comrie2320100.9162.71132841607153452000

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
202436286000202321311011814300010117595818143000101157243602323756070170847641369478420469712684323387731208167.50%1235555.28%336665555.88%45287751.54%41270458.52%833487725272611347
Total Saison régulière364138195014123218092125-31618271920106219361018-8218267103046118731107-2343241809325150600135373370620105993148363837735412301407229585552116257849.74%129370745.32%592622539248.63%2654594144.67%3603808944.54%744243548302331761502938
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