Connexion

Dynamos
GP: 70 | W: 23 | L: 42 | OTL: 5 | P: 51
GF: 276 | GA: 412 | PP%: 38.07% | PK%: 43.62%
DG: Bruce Gauvreau | Morale : 42 | Moyenne d’équipe : 70
Prochains matchs #835 vs Falcons
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Centre de jeu
Dynamos
23-42-5, 51pts
6
FINAL
1 Guerriers du Nord
33-33-3, 69pts
Team Stats
SOL1SéquenceSOW1
11-21-2Fiche domicile20-14-1
12-21-3Fiche domicile13-19-2
6-3-1Derniers 10 matchs4-5-1
3.94Buts par match 4.99
5.89Buts contre par match 5.17
38.07%Pourcentage en avantage numérique54.63%
43.62%Pourcentage en désavantage numérique52.36%
Dynamos
23-42-5, 51pts
2
FINAL
3 National
61-7-0, 122pts
Team Stats
SOL1SéquenceSOW1
11-21-2Fiche domicile34-1-0
12-21-3Fiche domicile27-6-0
6-3-1Derniers 10 matchs8-2-0
3.94Buts par match 7.31
5.89Buts contre par match 2.84
38.07%Pourcentage en avantage numérique64.04%
43.62%Pourcentage en désavantage numérique66.07%
Falcons
27-35-7, 61pts
Jour 115
Dynamos
23-42-5, 51pts
Statistiques d’équipe
L6SéquenceSOL1
16-17-2Fiche domicile11-21-2
11-18-5Fiche visiteur12-21-3
2-8-010 derniers matchs6-3-1
4.97Buts par match 3.94
5.91Buts contre par match 3.94
49.23%Pourcentage en avantage numérique38.07%
47.54%Pourcentage en désavantage numérique43.62%
Senators
19-44-5, 43pts
Jour 117
Dynamos
23-42-5, 51pts
Statistiques d’équipe
L3SéquenceSOL1
10-20-5Fiche domicile11-21-2
9-24-0Fiche visiteur12-21-3
5-5-010 derniers matchs6-3-1
4.12Buts par match 3.94
5.66Buts contre par match 3.94
39.51%Pourcentage en avantage numérique38.07%
48.02%Pourcentage en désavantage numérique43.62%
Dynamos
23-42-5, 51pts
Jour 118
Prospects
30-36-4, 64pts
Statistiques d’équipe
SOL1SéquenceW1
11-21-2Fiche domicile14-17-3
12-21-3Fiche visiteur16-19-1
6-3-110 derniers matchs4-6-0
3.94Buts par match 5.04
5.89Buts contre par match 5.04
38.07%Pourcentage en avantage numérique40.65%
43.62%Pourcentage en désavantage numérique47.84%
Meneurs d'équipe
Buts
Jordan Martinook
7
Passes
Philip Tomasino
11
Points
Philip Tomasino
16
Plus/Moins
Jordan Martinook
7
Victoires
Kaapo Kahkonen
4
Pourcentage d’arrêts
Kaapo Kahkonen
0.938

Statistiques d’équipe
Buts pour
276
3.94 GFG
Tirs pour
1657
23.67 Avg
Pourcentage en avantage numérique
38.1%
83 GF
Début de zone offensive
27.7%
Buts contre
412
5.89 GAA
Tirs contre
2141
30.59 Avg
Pourcentage en désavantage numérique
43.6%%
137 GA
Début de la zone défensive
29.6%
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 actuelle23-42-5 (51PTS)
Historique113-189-16 (0.355%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)0-4
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 MartinookX98.007864848381819273577372845080850717303122,000,000$
2Radek FaksaXX100.008068908187799068786670875082810687203031,201,001$
3Philip Tomasino (R)X98.007656959175814077668172736469710717202221,066,667$
4Kiefer SherwoodX98.06956280848679407350697775546871061710291750,000$
5Adam ErneXX99.00936692888979686956687080507475060710291751,001$
6Dryden Hunt (R)X100.00915985818678836950696868517071071680281762,500$
7Rem Pitlick (R)X99.007058909175785170556970676269720746802721,100,000$
8Tyler PitlickX100.008962968886764266506764755074750246803211,750,000$
9Nick Blankenburg (R)X99.00885990858085427350757071506870074710262825,000$
10Johnathan Kovacevic (R)X99.00816389848283886650686473506870071710263851,001$
11Alexander Alexeyev (R)X100.00796597848482406450686071506868071680241925,000$
12Logan StanleyX100.009272777593794065506663715070710726802611,137,500$
13Dysin MayoX100.00916088858577406050606070506868071660272901,001$
14Christian WolaninX100.00595694847581406350656065506869071650291750,000$
Rayé
MOYENNE D’ÉQUIPE99.2983628985838057685469677452717306669
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)97.00737978907174757673757670740827302722,500,000$
2Eric Comrie100.00807069817679737573777568710827202821,800,000$
3Erik Kallgren (R)100.0073656288717475747571736568082690271851,001$
Rayé
MOYENNE D’ÉQUIPE99.007571708673767475747475687108271
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
1Philip TomasinoDynamos (FLS)C551116700682151123.81%211422.8028104170002102077.78%16278002.8101000121
2Jordan MartinookDynamos (FLS)LW57815760772291231.82%411122.38459817000060176.00%2583012.6801000201
3Adam ErneDynamos (FLS)LW/RW5671360055225527.27%510521.10437717000032071.43%743012.4600000102
4Nick BlankenburgDynamos (FLS)D5459475115164425.00%1112525.0531431800019010%036001.4400100010
5Johnathan KovacevicDynamos (FLS)D5066340758730%612725.5003311800019000%008000.9400000000
6Dryden HuntDynamos (FLS)LW51232001171811165.56%39919.8500002000020050.00%244000.6000000000
7Radek FaksaDynamos (FLS)C/LW5123-10011995811.11%08917.90011011000050078.87%7113000.6701000000
8Rem PitlickDynamos (FLS)C520225513112311198.70%110320.6400002000020065.63%3276000.3900100010
9Tyler PitlickDynamos (FLS)RW50220206276110%07915.830110110000000100.00%443000.5100000000
10Alexander AlexeyevDynamos (FLS)D5011200824630%310421.0000001100006000%017000.1900000000
11Christian WolaninDynamos (FLS)D5011200222250%17515.100001100003000%025000.2600000000
12Kiefer SherwoodDynamos (FLS)LW5101-100127188135.56%07815.6500009000050060.00%537000.2600000000
13Logan StanleyDynamos (FLS)D50001175856210%710120.3900001100006000%011000000001000
14Dysin MayoDynamos (FLS)D5000420815020%07414.860000100000000%00700000000000
Statistiques d’équipe totales ou en moyenne70274572384315115761818111314.92%43139019.86132235241520004724276.30%3084580021.0403201444
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)54010.9381.5730500812951000.667350100
Statistiques d’équipe totales ou en moyenne54010.9381.573050081295100350100


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
Adam ErneDynamos (FLS)LW/RW291995-04-20 09:26:19No214 Lbs6 ft1NoNoN/ANoNo1Pro & Farm751,001$116,822$0$0$No------------------Lien
Alexander AlexeyevDynamos (FLS)D241999-11-15 14:21:12Yes213 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$143,889$0$0$No------------------
Christian WolaninDynamos (FLS)D291995-03-17 04:12:03No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$116,667$0$0$No------------------
Dryden HuntDynamos (FLS)LW281995-11-24 07:37:39Yes193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm762,500$118,611$0$0$No------------------Lien
Dysin MayoDynamos (FLS)D271996-08-17 04:20:42No183 Lbs6 ft2NoNoN/ANoNo2Pro & Farm901,001$140,156$0$0$No901,001$--------No--------
Eric ComrieDynamos (FLS)G281995-07-06 09:57:49No175 Lbs6 ft1NoNoFree AgentNoNo22024-03-15Pro & Farm1,800,000$280,000$0$0$No1,800,000$--------No--------
Erik KallgrenDynamos (FLS)G271996-10-14 04:46:10Yes200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm851,001$132,378$0$0$No------------------
Johnathan KovacevicDynamos (FLS)D261997-07-12 05:14:09Yes208 Lbs6 ft4NoNoFree AgentNoNo32024-03-03Pro & Farm851,001$132,378$0$0$No851,001$851,001$-------NoNo-------
Jordan MartinookDynamos (FLS)LW311992-07-25 17:22:23No196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,000,000$311,111$0$0$No2,000,000$--------No--------Lien
Kaapo KahkonenDynamos (FLS)G271996-08-16 14:59:35Yes217 Lbs6 ft2NoNoFree AgentNoNo22024-03-25Pro & Farm2,500,000$388,889$0$0$No2,500,000$--------No--------
Kiefer SherwoodDynamos (FLS)LW291995-03-31 12:04:47No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$116,667$0$0$No------------------
Logan StanleyDynamos (FLS)D261998-05-26 15:46:54No228 Lbs6 ft7NoNoN/ANoNo1Pro & Farm1,137,500$176,944$0$0$No------------------Lien
Nick BlankenburgDynamos (FLS)D261998-05-12 14:26:56Yes177 Lbs5 ft9NoNoN/ANoNo2Pro & Farm825,000$128,333$0$0$No825,000$--------No--------
Philip TomasinoDynamos (FLS)C222001-07-28 12:13:57Yes179 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,066,667$165,926$0$0$No1,066,667$--------No--------
Radek FaksaDynamos (FLS)C/LW301994-01-09 03:26:19No216 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,201,001$186,822$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$171,111$0$0$No1,100,000$--------No--------
Tyler PitlickDynamos (FLS)RW321991-11-01 09:26:19No202 Lbs6 ft0NoNoFree AgentNoYes12024-03-15Pro & Farm1,750,000$272,222$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1727.53198 Lbs6 ft11.651,171,863$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan MartinookPhilip TomasinoAdam Erne40122
2Kiefer SherwoodRadek FaksaTyler Pitlick30122
3Dryden HuntRem Pitlick20122
4Philip TomasinoJordan MartinookRadek Faksa10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicNick Blankenburg40122
2Logan StanleyAlexander Alexeyev30122
3Dysin MayoChristian Wolanin20122
4Johnathan KovacevicNick Blankenburg10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan MartinookPhilip TomasinoAdam Erne60122
2Kiefer SherwoodRadek FaksaTyler Pitlick40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicNick Blankenburg60122
2Logan StanleyAlexander Alexeyev40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan MartinookPhilip Tomasino60122
2Radek FaksaAdam Erne40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicNick Blankenburg60122
2Logan StanleyAlexander Alexeyev40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Martinook60122Johnathan KovacevicNick Blankenburg60122
2Philip Tomasino40122Logan StanleyAlexander Alexeyev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jordan MartinookPhilip Tomasino60122
2Radek FaksaAdam Erne40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicNick Blankenburg60122
2Logan StanleyAlexander Alexeyev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan MartinookPhilip TomasinoAdam ErneJohnathan KovacevicNick Blankenburg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan MartinookPhilip TomasinoAdam ErneJohnathan KovacevicNick Blankenburg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rem Pitlick, Dryden Hunt, Kiefer SherwoodRem Pitlick, Dryden HuntKiefer Sherwood
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, Christian Wolanin, Logan StanleyDysin MayoChristian Wolanin, Logan Stanley
Tirs de pénalité
Jordan Martinook, Philip Tomasino, Radek Faksa, Adam Erne, Kiefer Sherwood
Gardien
#1 : Kaapo Kahkonen, #2 : Eric Comrie, #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
1Bolt10001000651000000000001000100065121.00061218003813310232745963555910309298450.00%10100.00%046796848.24%459103544.35%658149244.10%141379415786671223584
2Brawlers310020001385210010009541000100043161.0001324370038133102377459635559108323163911218.18%8362.50%046796848.24%459103544.35%658149244.10%141379415786671223584
3Destroyers404000001032-2220200000516-1120200000516-1100.00010203000381331023874596355591018467366210330.00%181422.22%046796848.24%459103544.35%658149244.10%141379415786671223584
4Distraction20200000516-111010000026-410100000310-700.000591400381331023564596355591072211838500.00%9633.33%046796848.24%459103544.35%658149244.10%141379415786671223584
5Extreme11000000532110000005320000000000021.00051015003813310232045963555910241089000%4250.00%146796848.24%459103544.35%658149244.10%141379415786671223584
6Falcons220000001275110000006331100000064241.000122032003813310237045963555910462710268337.50%5260.00%146796848.24%459103544.35%658149244.10%141379415786671223584
7Guerriers du Nord312000001217-510100000211-921100000106420.333122133003813310238345963555910933125459333.33%11736.36%046796848.24%459103544.35%658149244.10%141379415786671223584
8Intrepides302001001319-620200000813-51000010056-110.167132538003813310235945963555910972132488337.50%16850.00%146796848.24%459103544.35%658149244.10%141379415786671223584
9L'Euphorie321000001416-21010000048-422000000108240.667142741003813310237145963555910572418317685.71%9544.44%146796848.24%459103544.35%658149244.10%141379415786671223584
10Les Restants734000002538-13422000001720-331200000818-1060.429254873003813310231604596355591020258369323939.13%181233.33%046796848.24%459103544.35%658149244.10%141379415786671223584
11Monkeys 20200000719-121010000029-710100000510-500.00071219003813310234145963555910812720299333.33%10730.00%046796848.24%459103544.35%658149244.10%141379415786671223584
12Monster20200000516-111010000013-210100000413-900.0005101500381331023404596355591048914333133.33%7614.29%146796848.24%459103544.35%658149244.10%141379415786671223584
13Monsters320001001697110000008172100010088050.8331628440038133102374459635559107116346010660.00%7442.86%046796848.24%459103544.35%658149244.10%141379415786671223584
14National2010000148-41010000025-31000000123-110.2504711003813310235245963555910923884015320.00%3233.33%046796848.24%459103544.35%658149244.10%141379415786671223584
15Patriotes50500000941-3220200000622-1630300000319-1600.00091827003813310231114596355591022681496312325.00%231534.78%046796848.24%459103544.35%658149244.10%141379415786671223584
16Prospects42200000202002110000010100211000001010040.50020365600381331023944596355591010040266914857.14%13376.92%046796848.24%459103544.35%658149244.10%141379415786671223584
17Senators321000001116-51100000053221100000613-740.667112031003813310236645963555910661514518225.00%7357.14%246796848.24%459103544.35%658149244.10%141379415786671223584
18Sharks202000001214-21010000056-11010000078-100.000122436003813310236245963555910682012184250.00%6433.33%046796848.24%459103544.35%658149244.10%141379415786671223584
19Shokers413000002225-31010000067-1312000001618-220.250224365003813310231014596355591014637325010440.00%16756.25%046796848.24%459103544.35%658149244.10%141379415786671223584
20Vikings302000011122-111000000178-120200000414-1010.1671121320038133102359459635559108324305412541.67%15940.00%146796848.24%459103544.35%658149244.10%141379415786671223584
21Warriors404000001728-11303000001221-91010000057-200.0001730470038133102378459635559101334126628337.50%13930.77%146796848.24%459103544.35%658149244.10%141379415786671223584
22Wildcats302001001119-820100100714-71010000045-110.1671121320038133102373459635559107623263414535.71%13376.92%046796848.24%459103544.35%658149244.10%141379415786671223584
23Youngblood43100000161422200000074321100000910-160.7501631470038133102396459635559106322226810550.00%11645.45%246796848.24%459103544.35%658149244.10%141379415786671223584
Total70204203302276412-13634102101101136198-6236102102201140214-74510.36427651779300381331023165745963555910214168451410312188338.07%24313743.62%1146796848.24%459103544.35%658149244.10%141379415786671223584
_Since Last GM Reset70204203302276412-13634102101101136198-6236102102201140214-74510.36427651779300381331023165745963555910214168451410312188338.07%24313743.62%1146796848.24%459103544.35%658149244.10%141379415786671223584
_Vs Conference39112402101143237-94196110100179119-40205130110064118-54280.359143262405003813310239064596355591012684102965841204235.00%1358537.04%546796848.24%459103544.35%658149244.10%141379415786671223584
_Vs Division14510021006172-11734010002635-9726011003537-2150.53661112173003813310233564596355591039712099200471634.04%482645.83%346796848.24%459103544.35%658149244.10%141379415786671223584

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7051SOL127651779316572141684514103100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7020423302276412
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3410211101136198
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3610212201140214
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2188338.07%24313743.62%11
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
45963555910381331023
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
46796848.24%459103544.35%658149244.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
141379415786671223584


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
212Les Restants5Dynamos2BLSommaire du match
323Dynamos3Youngblood5ALSommaire du match
535Dynamos3Destroyers9ALSommaire du match
747Wildcats8Dynamos2BLSommaire du match
960Destroyers11Dynamos3BLSommaire du match
1172Monster3Dynamos1BLSommaire du match
1383Dynamos4Wildcats5ALSommaire du match
1595Dynamos4Monster13ALSommaire du match
17107Destroyers5Dynamos2BLSommaire du match
19119Dynamos2Destroyers7ALSommaire du match
21130Dynamos0Les Restants9ALSommaire du match
22142Senators3Dynamos5BWSommaire du match
23152Dynamos1Patriotes6ALSommaire du match
25165Les Restants10Dynamos3BLSommaire du match
27177Dynamos3Les Restants5ALSommaire du match
29189Warriors5Dynamos3BLSommaire du match
31202Extreme3Dynamos5BWSommaire du match
32217Vikings8Dynamos7BLXXSommaire du match
34234Dynamos3Distraction10ALSommaire du match
36242Patriotes8Dynamos1BLSommaire du match
38257Dynamos3Prospects7ALSommaire du match
40269Sharks6Dynamos5BLSommaire du match
42277Dynamos5Monsters4AWSommaire du match
43291L'Euphorie8Dynamos4BLSommaire du match
44303Dynamos4Brawlers3AWXSommaire du match
46316Brawlers4Dynamos5BWXSommaire du match
48328Dynamos3Monsters4ALXSommaire du match
49339Distraction6Dynamos2BLSommaire du match
51347Dynamos3Vikings8ALSommaire du match
52355Dynamos5Monkeys 10ALSommaire du match
53367Dynamos5Shokers8ALSommaire du match
55380Brawlers1Dynamos4BWSommaire du match
57394Guerriers du Nord11Dynamos2BLSommaire du match
59408Dynamos0Patriotes9ALSommaire du match
60416Wildcats6Dynamos5BLXSommaire du match
62430Dynamos2Patriotes4ALSommaire du match
63442Dynamos5Les Restants4AWSommaire du match
65451Warriors8Dynamos6BLSommaire du match
67465Dynamos6Falcons4AWSommaire du match
69472Intrepides7Dynamos4BLSommaire du match
70490Dynamos1Senators9ALSommaire du match
72499Youngblood3Dynamos5BWSommaire du match
74515Patriotes14Dynamos5BLSommaire du match
75527Dynamos1Vikings6ALSommaire du match
77538Warriors8Dynamos3BLSommaire du match
79550Dynamos7Sharks8ALSommaire du match
80561Prospects5Dynamos6BWSommaire du match
82568Dynamos5Warriors7ALSommaire du match
83579Dynamos6Bolt5AWXSommaire du match
85592Prospects5Dynamos4BLSommaire du match
86606Dynamos4Guerriers du Nord5ALSommaire du match
87614Shokers7Dynamos6BLSommaire du match
89629Dynamos4L'Euphorie3AWSommaire du match
90639Les Restants4Dynamos8BWSommaire du match
91649Dynamos5Intrepides6ALXSommaire du match
93662Youngblood1Dynamos2BWSommaire du match
94675Dynamos6L'Euphorie5AWSommaire du match
96684Intrepides6Dynamos4BLSommaire du match
98695Dynamos6Youngblood5AWSommaire du match
99711Dynamos5Shokers3AWSommaire du match
100717National5Dynamos2BLSommaire du match
102732Dynamos6Shokers7ALSommaire du match
103742Falcons3Dynamos6BWSommaire du match
105750Dynamos5Senators4AWSommaire du match
107762Monkeys 9Dynamos2BLSommaire du match
109783Dynamos7Prospects3AWSommaire du match
110788Monsters1Dynamos8BWSommaire du match
112806Les Restants1Dynamos4BWSommaire du match
113811Dynamos6Guerriers du Nord1AWSommaire du match
114821Dynamos2National3ALXXSommaire du match
115835Falcons-Dynamos-
117854Senators-Dynamos-
118870Dynamos-Prospects-
119872Dynamos-Brawlers-
120883Dynamos-Youngblood-
121889Bolt-Dynamos-
123908Senators-Dynamos-
126927Monkeys -Dynamos-
127936Dynamos-Extreme-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129951Bolt-Dynamos-
130958Dynamos-Extreme-
134979Monsters-Dynamos-



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
7 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,109,146$ 1,992,167$ 1,992,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,644,685$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 21 18,831$ 395,451$




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 Hunt80649315716341066544314.45%35152919.122736634401104250.57%62.0501
2Vince Dunn4336961321121496130411.84%61106224.72273966551459520%12.4801
3Jake Evans824379122383911911732413.27%29147017.931033432710187068.43%01.6602
4Jordan Martinook504862110913665827717.33%40103620.721824423511233367.78%52.1201
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 Kahkonen54010.9381.5730500812951000.6673
2Eric Comrie21000.9302.347700343211000

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
202370204203302276412-13634102101101136198-6236102102201140214-745127651779300381331023165745963555910214168451410312188338.07%24313743.62%1146796848.24%459103544.35%658149244.10%141379415786671223584
Total Saison régulière31698189014121214851969-4841575089010611763943-18015948100046017221026-30424014852720420500264615591168653246430423109471075535322537450498846146.66%114164943.12%522075449446.17%2081487942.65%3035715142.44%626236367389296653542477
Séries éliminatoires
202140400000937-2820200000416-1220200000521-16091120002250148446341018877556912216.67%191521.05%04710843.52%358342.17%368940.45%794898346128
Total Séries éliminatoires40400000937-2820200000416-1220200000521-16091120002250148446341018877556912216.67%191521.05%04710843.52%358342.17%368940.45%794898346128

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
1Warren Foegele4325-15041915.79%16716.791012000000100.00%01.4900
2Jake Evans4235-1244258.00%36917.36000100000068.75%01.4400
3Dryden Hunt4123-105105156.67%58421.02011000000060.00%00.7100
4Vince Dunn4112-5578323.13%710325.9510150002000%00.3900
5Logan Stanley4011-7495180%1210626.5101110002000%00.1900

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