Rocket

GP: 4 | W: 3 | L: 1 | OTL: 0 | P: 6
GF: 23 | GA: 17 | PP%: 26.32% | PK%: 54.55%
DG: Eric Morin | Morale : 51 | Moyenne d'Équipe : 67
Prochain matchs #69 vs Thunderbird
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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 SP
1Jamie McGinnX100.007041776678675965526368596379725950710
2Chris KunitzX100.008139826372646962545961535990812651700
3Derek GrantX100.007739826686706965686367746377705251700
4Zemgus GirgensonsX100.008542886382758562786459766069658152680
5Sonny MilanoX100.005637896573707263596162576465638351670
6Joshua Ho-SangX100.005236916069856959626157585365638051650
7Peter CehlarikX100.005836916581826863606162645967656252650
8Filip ChlapikX100.005636925876846957635659575863627352640
9Jonathan EricssonX100.008447736190836559305760725585762647710
10Justin FalkX100.007743865894766257305553644579715151670
11Joel HanleyX100.005836906070846959305754604675684751640
12Ryan MurphyX100.005235936069826959306253574671668151630
Rayé
1Nic PetanX29.985035935465605054585554515467657240610
MOYENNE D'ÉQUIPE94.54663987617776676052605962567368615067
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 SP
1Malcolm Subban100.00827573808180828180828171757751770
Rayé
MOYENNE D'ÉQUIPE100.0082757380818082818082817175775177
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien71707072837765CAN5531,000,000$


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
1Zemgus GirgensonsRocket (MTL)C415630025212104.76%05914.9800000000010066.67%5431002.0000000120
2Peter CehlarikRocket (MTL)LW4224200012081910.00%05012.7200000000000066.67%613001.5700000111
3Filip ChlapikRocket (MTL)C40110001211580.00%14010.0900000000000090.48%2100000.5000000101
4Nic PetanRocket (MTL)C2000100000100.00%1126.42000000000000100.00%100000.0000000001
Stats d'équipe Total ou en Moyenne143811600385216375.77%216411.7100000000010073.17%8244001.3400000333
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Chris KunitzRocket (MTL)LW381979-09-26No188 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Derek GrantRocket (MTL)C271990-04-20No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Filip ChlapikRocket (MTL)C201997-06-03No196 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jamie McGinnRocket (MTL)LW291988-08-05No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Joel HanleyRocket (MTL)D261991-06-08No190 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jonathan EricssonRocket (MTL)D331984-03-02No220 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Joshua Ho-SangRocket (MTL)RW211996-01-22No173 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm874,125$0$0$NoLien
Justin FalkRocket (MTL)D281988-10-11No223 Lbs6 ft5NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Malcolm SubbanRocket (MTL)G231993-12-21No200 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm850,000$0$0$NoLien
Nic Petan (Sur la Masse Salariale)Rocket (MTL)C221995-03-22No179 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm775,000$0$0$NoLien
Peter CehlarikRocket (MTL)LW221995-08-02No202 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Ryan MurphyRocket (MTL)D241993-03-31No181 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Sonny MilanoRocket (MTL)LW211996-05-12No195 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm874,125$0$0$NoLien
Zemgus GirgensonsRocket (MTL)C231994-01-05No211 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,600,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1425.50198 Lbs6 ft11.07855,232$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Peter CehlarikZemgus Girgensons30122
3Filip Chlapik20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
4Zemgus Girgensons10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Peter CehlarikZemgus Girgensons40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Zemgus Girgensons40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Zemgus Girgensons40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Filip Chlapik, Peter Cehlarik, Filip ChlapikPeter Cehlarik
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , Zemgus Girgensons, , Peter Cehlarik
Gardien
#1 : , #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
LigueDomicileVisiteur
# 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
1Bruins11000000725110000007250000000000021.000713200069802941393902134126233.33%20100.00%0306050.00%256140.98%569260.87%845088376732
2Crunch11000000853110000008530000000000021.0008142200698024413939015108144125.00%4250.00%0306050.00%256140.98%569260.87%845088376732
3Marlies1010000025-3000000000001010000025-300.000246006980354139390325612500.00%220.00%0306050.00%256140.98%569260.87%845088376732
4Thunderbird11000000651110000006510000000000021.0006101600698031413939027719124250.00%3166.67%1306050.00%256140.98%569260.87%845088376732
Total431000002317633000000211291010000025-360.75023416400698011941393909525375019526.32%11554.55%1306050.00%256140.98%569260.87%845088376732
_Since Last GM Reset431000002317633000000211291010000025-360.75023416400698011941393909525375019526.32%11554.55%1306050.00%256140.98%569260.87%845088376732
_Vs Conference431000002317633000000211291010000025-360.75023416400698011941393909525375019526.32%11554.55%1306050.00%256140.98%569260.87%845088376732
_Vs Division431000002317633000000211291010000025-360.75023416400698011941393909525375019526.32%11554.55%1306050.00%256140.98%569260.87%845088376732

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
46W22341641199525375000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
43100002317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33000002112
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
101000025
Derniers 10 Matchs
WLOTWOTL SOWSOL
310000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
19526.32%11554.55%1
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
41393906980
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
306050.00%256140.98%569260.87%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
845088376732


Derniers Match 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
3 - 2019-10-0613Bruins2Rocket7WSommaire du Match
5 - 2019-10-0826Rocket2Marlies5LSommaire du Match
7 - 2019-10-1035Crunch5Rocket8WSommaire du Match
11 - 2019-10-1454Thunderbird5Rocket6WSommaire du Match
14 - 2019-10-1769Rocket-Thunderbird-
15 - 2019-10-1879Senateurs-Rocket-
17 - 2019-10-2095Rocket-Bruins-
18 - 2019-10-21102Heat-Rocket-
22 - 2019-10-25119Rocket-Senateurs-
23 - 2019-10-26126Marlies-Rocket-
25 - 2019-10-28140Rocket-Sound Tigers-
27 - 2019-10-30150Gulls-Rocket-
31 - 2019-11-03169Marlies-Rocket-
32 - 2019-11-04177Rocket-Crunch-
36 - 2019-11-08194Bruins-Rocket-
40 - 2019-11-12216Rocket-Sound Tigers-
41 - 2019-11-13219Marlies-Rocket-
45 - 2019-11-17240Moose-Rocket-
47 - 2019-11-19253Rocket-Barracuda-
49 - 2019-11-21266Thunderbird-Rocket-
51 - 2019-11-23273Rocket-Monsters-
54 - 2019-11-26289Rocket-Stars-
55 - 2019-11-27293Senateurs-Rocket-
58 - 2019-11-30314Crunch-Rocket-
60 - 2019-12-02321Rocket-Crunch-
62 - 2019-12-04335Rocket-Wolves-
63 - 2019-12-05339Gulls-Rocket-
65 - 2019-12-07354Rocket-Admirals-
67 - 2019-12-09362Condors-Rocket-
72 - 2019-12-14386Bruins-Rocket-
74 - 2019-12-16396Rocket-Crunch-
77 - 2019-12-19409Devils-Rocket-
79 - 2019-12-21420Rocket-Icedogs-
81 - 2019-12-23435Bears-Rocket-
82 - 2019-12-24445Rocket-Condors-
84 - 2019-12-26456Rocket-Phantoms-
85 - 2019-12-27462Barracuda-Rocket-
88 - 2019-12-30481Devils-Rocket-
94 - 2020-01-05505Senateurs-Rocket-
96 - 2020-01-07515Rocket-Rampages-
99 - 2020-01-10529Crunch-Rocket-
101 - 2020-01-12540Rocket-Heat-
103 - 2020-01-14547Rocket-Gulls-
104 - 2020-01-15555Admirals-Rocket-
106 - 2020-01-17568Rocket-Reigh-
108 - 2020-01-19578Heat-Rocket-
111 - 2020-01-22596Rocket-Heat-
112 - 2020-01-23602Stars-Rocket-
118 - 2020-01-29624Wolves-Rocket-
120 - 2020-01-31639Rocket-Devils-
121 - 2020-02-01647Penguins-Rocket-
124 - 2020-02-04663Rocket-Devils-
125 - 2020-02-05671Bears-Rocket-
127 - 2020-02-07684Rocket-Phantoms-
130 - 2020-02-10695Rocket-Thunderbird-
131 - 2020-02-11699Icedogs-Rocket-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
135 - 2020-02-15720Rocket-Monsters-
136 - 2020-02-16724Rampages-Rocket-
139 - 2020-02-19743Rocket-Thunderbird-
140 - 2020-02-20746Sound Tigers-Rocket-
145 - 2020-02-25769Penguins-Rocket-
147 - 2020-02-27780Rocket-Bruins-
149 - 2020-02-29794Blacknight-Rocket-
151 - 2020-03-02801Rocket-Moose-
155 - 2020-03-06817Sound Tigers-Rocket-
157 - 2020-03-08827Rocket-Blacknight-
160 - 2020-03-11841Thunderbird-Rocket-
165 - 2020-03-16865Phantoms-Rocket-
168 - 2020-03-19883Rocket-Bruins-
169 - 2020-03-20888Phantoms-Rocket-
171 - 2020-03-22900Rocket-Senateurs-
174 - 2020-03-25913Monsters-Rocket-
175 - 2020-03-26918Rocket-Bears-
178 - 2020-03-29937Monsters-Rocket-
179 - 2020-03-30941Rocket-Bears-
180 - 2020-03-31942Rocket-Marlies-
182 - 2020-04-02953Rocket-Penguins-
184 - 2020-04-04961Reigh-Rocket-
185 - 2020-04-05963Rocket-Marlies-
186 - 2020-04-06965Rocket-Moose-
187 - 2020-04-07968Rocket-Senateurs-
188 - 2020-04-08971Rocket-Penguins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
120,699$ 1,119,824$ 1,119,824$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 63,106$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 180 11,099$ 1,997,820$




LigueDomicileVisiteur
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
3431000002317633000000211291010000025-3623416400698011941393909525375019526.32%11554.55%1306050.00%256140.98%569260.87%845088376732
Total Saison Régulière431000002317633000000211291010000025-3623416400698011941393909525375019526.32%11554.55%1306050.00%256140.98%569260.87%845088376732
Séries
2404000001137-2620200000320-1720200000817-90111829002360130265153019665734418527.78%291934.48%0489848.98%389540.00%469448.94%7646100356328
Total Séries404000001137-2620200000320-1720200000817-90111829002360130265153019665734418527.78%291934.48%0489848.98%389540.00%469448.94%7646100356328