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Dynamos
GP: 10 | W: 10 | L: 0 | OTL: 0 | P: 20
GF: 89 | GA: 25 | PP%: 80.00% | PK%: 60.00%
DG: Bruce Gauvreau | Morale : 60 | Moyenne d’équipe : 67
Prochains matchs #131 vs Monsters

Centre de jeu
Wildcats
5-5-0, 10pts
2
FINAL
6 Dynamos
10-0-0, 20pts
Team Stats
OTW1SéquenceW10
4-2-0Fiche domicile5-0-0
1-3-0Fiche domicile5-0-0
5-5-0Derniers 10 matchs10-0-0
5.00Buts par match 8.90
6.20Buts contre par match 2.50
41.67%Pourcentage en avantage numérique80.00%
37.50%Pourcentage en désavantage numérique60.00%
Dynamos
10-0-0, 20pts
9
FINAL
2 Patriotes
3-6-1, 7pts
Team Stats
W10SéquenceL1
5-0-0Fiche domicile2-3-0
5-0-0Fiche domicile1-3-1
10-0-0Derniers 10 matchs3-6-1
8.90Buts par match 4.80
2.50Buts contre par match 6.50
80.00%Pourcentage en avantage numérique50.00%
60.00%Pourcentage en désavantage numérique46.15%
Monsters
4-4-2, 10pts
Jour 21
Dynamos
10-0-0, 20pts
Statistiques d’équipe
OTL1SéquenceW10
3-2-0Fiche domicile5-0-0
1-2-2Fiche visiteur5-0-0
4-4-210 derniers matchs10-0-0
5.00Buts par match 8.90
5.80Buts contre par match 8.90
72.00%Pourcentage en avantage numérique80.00%
66.67%Pourcentage en désavantage numérique60.00%
Dynamos
10-0-0, 20pts
Jour 22
Patriotes
3-6-1, 7pts
Statistiques d’équipe
W10SéquenceL1
5-0-0Fiche domicile2-3-0
5-0-0Fiche visiteur1-3-1
10-0-010 derniers matchs3-6-1
8.90Buts par match 4.80
2.50Buts contre par match 4.80
80.00%Pourcentage en avantage numérique50.00%
60.00%Pourcentage en désavantage numérique46.15%
L'Euphorie
10-0-0, 20pts
Jour 24
Dynamos
10-0-0, 20pts
Statistiques d’équipe
W10SéquenceW10
5-0-0Fiche domicile5-0-0
5-0-0Fiche visiteur5-0-0
10-0-010 derniers matchs10-0-0
6.80Buts par match 8.90
2.20Buts contre par match 8.90
66.67%Pourcentage en avantage numérique80.00%
75.00%Pourcentage en désavantage numérique60.00%
Meneurs d'équipe
Buts
Alexander Holtz
14
Passes
Alexander Holtz
19
Points
Alexander Holtz
33
Plus/Moins
Logan Stanley
21
Victoires
Eric Comrie
10
Pourcentage d’arrêts
Eric Comrie
0.916

Statistiques d’équipe
Buts pour
89
8.90 GFG
Tirs pour
466
46.60 Avg
Pourcentage en avantage numérique
80.0%
32 GF
Début de zone offensive
29.7%
Buts contre
25
2.50 GAA
Tirs contre
297
29.70 Avg
Pourcentage en désavantage numérique
60.0%%
12 GA
Début de la zone défensive
36.2%
Informations de l'équipe

Directeur généralBruce Gauvreau
EntraîneurKris Knoblauch
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 actuelle10-0-0 (20PTS)
Historique135-189-16 (0.397%)
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
1Jordan MartinookX100.007461908381769172637073806483850547203212,000,000$
2Anton BlidhX100.0093598486867640705073677650676905169N0302775,000$
3Pierre-Edouard BellemareX100.0070649687826943657263678450848006368N04011,800,000$
4Dryden HuntX100.0093669481867240695069687250707305168N0292775,000$
5Tyler PitlickX100.0089629688867642665067647550747506368N03311,750,000$
6Alexander Holtz (R)X100.007058968979738971506775655369710546802321,744,167$
7Will Cuylle (R)X100.00956285858872886950657270506971066680232902,500$
8Rem Pitlick (R)X99.007858959177784060506060725069720636402811,100,000$
9Matt Coronato (R)X100.005050505050505050505050505050500634902221,491,667$
10Urho Vaakanainen (R)X100.00755792858081776650696276506972065700261850,000$
11Alexander Alexeyev (R)X100.00796597848482406450686071506868063680252925,000$
12Logan StanleyX100.009272777593794065506663715070710646802711,137,500$
13Nick Blankenburg (R)X100.00895993858079406450606873506870053670271825,000$
14Dysin MayoX100.00916088858577406050606070506868063660281901,001$
Rayé
1Philip Tomasino (R)X100.006456879175744575507773695171710476902311,066,667$
2Anthony DeAngeloX100.0050618484757640715073696250767803667N0291751,001$
MOYENNE D’ÉQUIPE99.9478618883807453665266667151707205767
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
1Eric Comrie99.00807069817679737573777568710657202911,800,000$
Rayé
1Kaapo Kahkonen100.00737978907174757673757670740457302812,500,000$
MOYENNE D’ÉQUIPE99.507775748674777476737676697305573
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kris Knoblauch78859192707499CAN465555,555$


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)RW10141933105513856244225.00%717117.16710171226000011165.00%20212023.8500001230
2Pierre-Edouard BellemareDynamos (FLS)C10121830112017244983924.49%518718.73610161027000013070.30%303126023.2000000112
3Urho VaakanainenDynamos (FLS)D1091726201610141337151424.32%1325825.866612918011118100%0515002.0100002121
4Rem PitlickDynamos (FLS)C101111221940111536172330.56%620520.5532538000000054.31%116134022.1400000120
5Will CuylleDynamos (FLS)LW101382115175101263213920.63%719719.7000000000012057.14%7213012.1300100213
6Logan StanleyDynamos (FLS)D1041620213515261633111512.12%1924824.83167219112216000%0314001.6100111012
7Tyler PitlickDynamos (FLS)RW1081220140019955131514.55%715215.2025728000001025.00%4139012.6300000300
8Alexander AlexeyevDynamos (FLS)D103121515209103916207.69%1121821.87224316000017000%0713001.3700000000
9Matt CoronatoDynamos (FLS)RW10461092044116836.36%315715.7911211000000037.50%803001.2700000001
10Nick BlankenburgDynamos (FLS)D101679009622584.55%313813.840110500012000%038001.0100000001
11Dysin MayoDynamos (FLS)D1005594012616330%1013513.5900000011112000%028000.7400000000
12Jordan MartinookDynamos (FLS)LW1022000204200%11717.6802202000010066.67%300002.2600000000
13William EklundFlashLW11121001131433.33%02323.0801105000020060.00%520001.7300000000
14Anthony DeAngeloDynamos (FLS)D1011100001000%111.230000000000000%0000016.2200000000
Statistiques d’équipe totales ou en moyenne11380134214154873514712442514223018.82%93211318.70284674421391345768164.81%46610285082.0300214101010
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)1010000.9162.5060021252971430000100000
Statistiques d’équipe totales ou en moyenne1010000.9162.506002125297143000100000


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$811,735$0$0$No925,000$--------925,000$--------No--------
Alexander HoltzDynamos (FLS)RW232002-01-23SUÈYes198 Lbs6 ft0NoNoDraftNoNo22025-01-01FalseFalsePro & Farm1,744,167$1,530,596$0$0$No1,744,167$--------1,744,167$--------No--------
Anthony DeAngeloDynamos (FLS)D291995-10-24USANo181 Lbs5 ft11YesNoFree AgentNoNo12025-04-24FalseFalsePro & Farm751,001$659,042$0$0$No---------------------------Lien
Anton BlidhDynamos (FLS)LW301995-03-14SUÈNo189 Lbs6 ft1YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm775,000$680,102$0$0$No775,000$--------775,000$--------Yes--------
Dryden HuntDynamos (FLS)LW291995-11-24CANNo193 Lbs6 ft0YesNoFree AgentNoNo22025-04-21FalseFalsePro & Farm775,000$680,102$0$0$No775,000$--------775,000$--------Yes--------Lien
Dysin MayoDynamos (FLS)D281996-08-17CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm901,001$790,674$0$0$No---------------------------
Eric ComrieDynamos (FLS)G291995-07-06CANNo175 Lbs6 ft1NoNoFree AgentNoNo12024-03-15FalseFalsePro & Farm1,800,000$1,579,592$0$0$No---------------------------
Jordan MartinookDynamos (FLS)LW321992-07-25CANNo196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$1,755,102$0$0$No---------------------------Lien
Kaapo KahkonenDynamos (FLS)G281996-08-16FINNo217 Lbs6 ft2NoNoFree AgentNoNo12024-03-25FalseFalsePro & Farm2,500,000$2,193,878$0$0$No---------------------------
Logan StanleyDynamos (FLS)D271998-05-26CANNo228 Lbs6 ft7NoNoFree AgentNoNo12025-04-11FalseFalsePro & Farm1,137,500$998,214$0$0$No---------------------------Lien
Matt CoronatoDynamos (FLS)RW222002-11-14USAYes183 Lbs5 ft10NoNoDraftNoNo22025-01-01FalseFalsePro & Farm1,491,667$1,309,014$0$0$No1,491,667$--------1,491,667$--------No--------
Nick BlankenburgDynamos (FLS)D271998-05-12USAYes177 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm825,000$723,980$0$0$No---------------------------
Philip TomasinoDynamos (FLS)C232001-07-28CANYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,066,667$936,055$0$0$No---------------------------
Pierre-Edouard BellemareDynamos (FLS)C401985-03-06FRANo198 Lbs6 ft0YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm1,800,000$1,579,592$0$0$No---------------------------Lien
Rem PitlickDynamos (FLS)C281997-04-02CANYes186 Lbs5 ft11NoNoFree AgentNoNo12024-03-03FalseFalsePro & Farm1,100,000$965,306$0$0$No---------------------------
Tyler PitlickDynamos (FLS)RW331991-11-01USANo202 Lbs6 ft0YesNoFree AgentNoNo12025-04-21FalseFalsePro & Farm1,750,000$1,535,714$0$0$No---------------------------Lien
Urho VaakanainenDynamos (FLS)D261999-01-01FINYes205 Lbs6 ft2NoNoDraftNoNo12025-01-01FalseFalsePro & Farm850,000$745,918$0$0$No---------------------------
Will CuylleDynamos (FLS)LW232002-02-05CANYes212 Lbs6 ft3NoNoDraftNoNo22025-01-01FalseFalsePro & Farm902,500$791,990$0$0$No902,500$--------902,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1827.89195 Lbs6 ft11.331,283,028$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre-Edouard BellemareAlexander Holtz40122
2Rem PitlickTyler Pitlick30122
3Will CuylleMatt Coronato20122
4Will Cuylle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenLogan Stanley40122
2Alexander Alexeyev30122
3Nick BlankenburgDysin Mayo20122
4Urho VaakanainenLogan Stanley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre-Edouard BellemareAlexander Holtz60122
2Rem PitlickTyler Pitlick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenLogan Stanley60122
2Alexander Alexeyev40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Will CuylleAlexander Holtz40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenLogan Stanley60122
2Alexander Alexeyev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Urho VaakanainenLogan Stanley60122
240122Alexander Alexeyev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Will CuylleAlexander Holtz40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenLogan Stanley60122
2Alexander Alexeyev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre-Edouard BellemareAlexander HoltzUrho VaakanainenLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre-Edouard BellemareAlexander HoltzUrho VaakanainenLogan Stanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Coronato, Tyler Pitlick, Pierre-Edouard BellemareMatt Coronato, Tyler PitlickPierre-Edouard Bellemare
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Blankenburg, Dysin Mayo, Alexander AlexeyevNick BlankenburgDysin Mayo, Alexander Alexeyev
Tirs de pénalité
, , Will Cuylle, Alexander Holtz, Tyler Pitlick
Gardien
#1 : Eric Comrie, #2 :


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
1Brawlers220000001789110000009361100000085341.0001728450030283108916812417407826174111981.82%6516.67%011219058.95%12423153.68%13021859.63%2491581857516490
2Destroyers220000002091111000000104611000000105541.00020355500302831010016812417408936373810880.00%6433.33%011219058.95%12423153.68%13021859.63%2491581857516490
3Patriotes2200000018315110000009181100000092741.00018314900302831093168124174047198418562.50%4250.00%111219058.95%12423153.68%13021859.63%2491581857516490
4Senators11000000909000000000001100000090921.0009142301302831045168124174014862155100.00%30100.00%011219058.95%12423153.68%13021859.63%2491581857516490
5Warriors110000001211111000000121110000000000021.000121931003028310581681241740171135213266.67%5180.00%111219058.95%12423153.68%13021859.63%2491581857516490
6Wildcats11000000624110000006240000000000021.0006101600302831045168124174026562811100.00%30100.00%011219058.95%12423153.68%13021859.63%2491581857516490
7Youngblood11000000725000000000001100000072521.00071017003028310361681241740261262322100.00%30100.00%011219058.95%12423153.68%13021859.63%2491581857516490
Total10100000008925645500000046113555000000431429201.000891472360130283104661681241740297117115213403280.00%301260.00%211219058.95%12423153.68%13021859.63%2491581857516490
_Since Last GM Reset10100000008925645500000046113555000000431429201.000891472360130283104661681241740297117115213403280.00%301260.00%211219058.95%12423153.68%13021859.63%2491581857516490
_Vs Conference88000000762155440000004093144000000361224161.000761272030130283103851681241740245100103162372978.38%241250.00%211219058.95%12423153.68%13021859.63%2491581857516490
_Vs Division2700000017891300000093614000000853143.5001728450030283108916812417407826174111981.82%6516.67%011219058.95%12423153.68%13021859.63%2491581857516490

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1020W108914723646629711711521301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1010000008925
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
55000004611
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
55000004314
Derniers 10 matchs
WLOTWOTL SOWSOL
1000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
403280.00%301260.00%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
16812417403028310
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
11219058.95%12423153.68%13021859.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2491581857516490


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
21131Monsters-Dynamos-
22140Dynamos-Patriotes-
24154L'Euphorie-Dynamos-
27166Dynamos-Monsters-
28172Senators-Dynamos-
30192Monkeys -Dynamos-
32202Dynamos-Wildcats-
34211Dynamos-Destroyers-
36218Destroyers-Dynamos-
38238L'Euphorie-Dynamos-
40250Dynamos-Senators-
42263Dynamos-Youngblood-
44268Dynamos-Monkeys -
46283Brawlers-Dynamos-
49299Falcons-Dynamos-
50306Dynamos-Monsters-
52317Dynamos-Brawlers-
54329Monsters-Dynamos-
56341Dynamos-Prospects-
58353Les Restants-Dynamos-
60369Intrepides-Dynamos-
62374Dynamos-Intrepides-
64389Shokers-Dynamos-
65403Dynamos-Bolt-
67414Destroyers-Dynamos-
69422Dynamos-National-
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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
341,116$ 2,309,451$ 2,309,451$ 555,555$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 273,094$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 129 19,490$ 2,514,210$




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 Martinook5856711271617796332717.13%43120820.842230524321345367.88%52.1001
4Jake Evans824379122383911911732413.27%29147017.931033432710187068.43%01.6602
5Tyler Pitlick4947631104710673722620.80%2890318.442327503210115161.22%52.4301

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
1Eric Comrie1716000.9202.3397741384772311000
2Kaapo Kahkonen1211010.9151.907250023270125000.6673

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
20241010000000892564550000004611355500000043142920891472360130283104661681241740297117115213403280.00%301260.00%211219058.95%12423153.68%13021859.63%2491581857516490
Total Saison régulière338120189014121216662019-3531696289010611865970-10516958100046018011049-248284166630234689013136776611696962838334234784711330375727354992108252948.89%120066444.67%582368492748.06%2326529543.93%3321760343.68%685940257762312157042680
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