Rocket

GP: 64 | W: 27 | L: 32 | OTL: 5 | P: 59
GF: 303 | GA: 337 | PP%: 39.26% | PK%: 55.71%
DG: Eric Morin | Morale : 47 | Moyenne d'Équipe : 67
Prochain matchs #772 vs Sound Tigers
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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
1Zemgus GirgensonsX100.007942787978829271675058687164598278680
2Magnus PaajarviX99.007241827279799374564558706965587378670
3Peter CehlarikX100.006141786278697061535962606351516378660
4Filip ChlapikX100.006044707874639169755054625950507364630
5Nic PetanX99.005543747459669669544061616454527478620
Rayé
1Derek GrantX100.006741827082788270835565766856534969690
2Alex TuchX100.007042847386829672706167667053528369680
3Sonny MilanoX93.436041828470758083585060597352518470660
4Ryan MurphyX100.005443757165608670305056645756538254630
MOYENNE D'ÉQUIPE99.00644278747573877161516065665653747166
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
Rayé
1Anders Nilsson100.00727796937978807777687458655666750
MOYENNE D'ÉQUIPE100.0072779693797880777768745865566675
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien63847177856162CAN5441,000,000$


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'ÉquipePOS GP 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
1Alex TuchRocket (MTL)RW192235571860223392265423.91%1644023.1910182815580112704065.69%2043111012.5900000631
2Magnus PaajarviRocket (MTL)LW2519365523603019111266917.12%851620.649172626870000321075.86%291924022.1300000614
3Derek GrantRocket (MTL)C1927245119100193079114534.18%2144623.501592420591013662270.61%5411219022.2800000336
4Filip ChlapikRocket (MTL)C6410314172953136231621564.33%1775511.8122436000090062.88%4585622001.0800001438
5Zemgus GirgensonsRocket (MTL)C2592837180322981314511.11%1541716.71513189530002313066.75%4061425001.7700000024
6Nic PetanRocket (MTL)LW25171633420018971214023.94%939715.9198171352000001284.37%321215011.6600000141
7Ryan MurphyRocket (MTL)D5842832-1360243618481952.17%63108818.7704456600005800100.00%12276000.5900000427
8Peter CehlarikRocket (MTL)LW25141529-140131077183418.18%840016.0066127531014292251.43%351217011.4500000121
9Sonny MilanoRocket (MTL)LW231216281375151313946838.63%739917.37011050111162165.85%413713011.4000100231
Stats d'équipe Total ou en Moyenne2831342293638312610204215106532262112.58%164486217.185678134984412241231415766.97%1747215222081.4900101272333
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
1Anders NilssonRocket (MTL)1714210.8953.5910192161580285100.0000170010
Stats d'équipe Total ou en Moyenne1714210.8953.5910192161580285100.0000170010


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
Alex TuchRocket (MTL)RW211996-05-10No222 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Anders NilssonRocket (MTL)G271990-03-19No229 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm2,500,000$0$0$NoLien
Derek GrantRocket (MTL)C271990-04-20No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Filip ChlapikRocket (MTL)C201997-06-03No196 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Magnus PaajarviRocket (MTL)LW261991-04-12No206 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$NoLien
Nic PetanRocket (MTL)LW221995-03-22No179 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm874,125$0$0$NoLien
Peter CehlarikRocket (MTL)LW221995-08-02No202 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Ryan MurphyRocket (MTL)D241993-03-31No185 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Sonny Milano (Sur la Masse Salariale)Rocket (MTL)LW211996-05-12No195 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien
Zemgus GirgensonsRocket (MTL)C231994-01-05No207 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,600,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1023.30204 Lbs6 ft21.101,066,246$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Magnus Paajarvi40122
2Peter CehlarikZemgus GirgensonsNic Petan30122
3Filip Chlapik20122
4Nic Petan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
4Zemgus Girgensons10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Magnus Paajarvi60122
2Peter CehlarikZemgus GirgensonsNic Petan40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Zemgus GirgensonsMagnus Paajarvi40122
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 GirgensonsMagnus Paajarvi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Magnus Paajarvi
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Magnus Paajarvi
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Filip Chlapik, Peter Cehlarik, Filip ChlapikPeter Cehlarik
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , Zemgus Girgensons, Magnus Paajarvi, 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
1Admirals220000001183110000006511100000053241.00011152600491251272666086416916722318276233.33%9277.78%1596108754.83%602115951.94%746136454.69%137682214155601053518
2Barracuda202000001215-31010000068-21010000067-100.000122335104912512725560864169164020322513538.46%16662.50%0596108754.83%602115951.94%746136454.69%137682214155601053518
3Bears1010000045-1000000000001010000045-100.0004812004912512722660864169161966186233.33%3233.33%0596108754.83%602115951.94%746136454.69%137682214155601053518
4Blacknight1000010045-11000010045-10000000000010.50046100049125127216608641691631141410200.00%7271.43%2596108754.83%602115951.94%746136454.69%137682214155601053518
5Bruins733001003229333000000221012403001001019-970.50032599100491251272209608641691618166529624833.33%26869.23%1596108754.83%602115951.94%746136454.69%137682214155601053518
6Condors20200000218-161010000018-710100000110-900.00024600491251272406086416916681931177114.29%13930.77%0596108754.83%602115951.94%746136454.69%137682214155601053518
7Crunch614001002535-10311001001615130300000920-1130.25025477200491251272168608641691615156448024937.50%221150.00%1596108754.83%602115951.94%746136454.69%137682214155601053518
8Devils422000001821-332100000161511010000026-440.50018314900491251272120608641691617863384915320.00%19857.89%0596108754.83%602115951.94%746136454.69%137682214155601053518
9Gulls210010001541111000000100101000100054141.000152540014912512726460864169164525122712758.33%6183.33%0596108754.83%602115951.94%746136454.69%137682214155601053518
10Heat211000008711010000026-41100000061520.5008152300491251272576086416916501516299444.44%8362.50%0596108754.83%602115951.94%746136454.69%137682214155601053518
11Icedogs21100000131031100000010461010000036-320.50013233600491251272586086416916581120238675.00%10460.00%0596108754.83%602115951.94%746136454.69%137682214155601053518
12Marlies604011002741-14302010001621-5302001001120-930.25027477400491251272211608641691626574716231929.03%341458.82%0596108754.83%602115951.94%746136454.69%137682214155601053518
13Monsters320001001912721000100131031100000062450.833193049004912512729160864169168315263616956.25%13746.15%0596108754.83%602115951.94%746136454.69%137682214155601053518
14Moose211000001115-4110000007611010000049-520.500111930004912512727660864169166730391911654.55%12650.00%0596108754.83%602115951.94%746136454.69%137682214155601053518
15Penguins2200000012750000000000022000000127541.00012223400491251272696086416916763216157228.57%8275.00%1596108754.83%602115951.94%746136454.69%137682214155601053518
16Phantoms11000000633000000000001100000063321.00061117004912512722660864169163384822100.00%220.00%0596108754.83%602115951.94%746136454.69%137682214155601053518
17Reigh32100000141312200000010731010000046-240.667142741004912512728360864169168217343412433.33%17476.47%0596108754.83%602115951.94%746136454.69%137682214155601053518
18Senateurs505000001132-2130300000617-1120200000515-1000.00011223300491251272141608641691622191366715426.67%181422.22%0596108754.83%602115951.94%746136454.69%137682214155601053518
19Sound Tigers303000001323-1020200000814-61010000059-400.0001325380049125127289608641691610540404110330.00%201050.00%0596108754.83%602115951.94%746136454.69%137682214155601053518
20Stars1010000015-4000000000001010000015-400.000123004912512722860864169165027614100.00%330.00%0596108754.83%602115951.94%746136454.69%137682214155601053518
21Thunderbird5410000031238220000001165321000002017380.800315586004912512721796086416916148613458281450.00%17852.94%0596108754.83%602115951.94%746136454.69%137682214155601053518
Total64253202500303337-3432161201300173160133292001200130177-47590.4613035418441149125127219466086416916207472460177327010639.26%28912855.71%6596108754.83%602115951.94%746136454.69%137682214155601053518
23Wolves220000001468110000009361100000053241.000142539004912512727460864169165111121811654.55%6266.67%0596108754.83%602115951.94%746136454.69%137682214155601053518
_Since Last GM Reset64253202500303337-3432161201300173160133292001200130177-47590.4613035418441149125127219466086416916207472460177327010639.26%28912855.71%6596108754.83%602115951.94%746136454.69%137682214155601053518
_Vs Conference43152301400198231-332199012001081080226140020090123-33360.419198357555004912512721329608641691614605123675301786536.52%1828652.75%3596108754.83%602115951.94%746136454.69%137682214155601053518
_Vs Division2981701300126160-341466011007169215211002005591-36210.3621262303560049125127290860864169169663482373631224436.07%1175552.99%2596108754.83%602115951.94%746136454.69%137682214155601053518

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6459W13035418441946207472460177311
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6425322500303337
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3216121300173160
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
329201200130177
Derniers 10 Matchs
WLOTWOTL SOWSOL
531100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
27010639.26%28912855.71%6
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
6086416916491251272
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
596108754.83%602115951.94%746136454.69%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
137682214155601053518


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 - 2018-10-119Rocket1Bruins5LSommaire du Match
5 - 2018-10-1318Marlies7Rocket2LSommaire du Match
11 - 2018-10-1937Rocket3Thunderbird10LSommaire du Match
13 - 2018-10-2142Thunderbird2Rocket4WSommaire du Match
17 - 2018-10-2556Rocket2Senateurs6LSommaire du Match
18 - 2018-10-2662Rocket2Marlies4LSommaire du Match
20 - 2018-10-2869Bruins5Rocket9WSommaire du Match
22 - 2018-10-3079Rocket3Bruins4LXSommaire du Match
25 - 2018-11-0294Devils4Rocket5WSommaire du Match
27 - 2018-11-04104Rocket2Devils6LSommaire du Match
28 - 2018-11-05111Rocket3Crunch10LSommaire du Match
30 - 2018-11-07120Crunch6Rocket5LXSommaire du Match
33 - 2018-11-10139Rocket5Marlies11LSommaire du Match
34 - 2018-11-11144Senateurs4Rocket3LSommaire du Match
38 - 2018-11-15162Crunch3Rocket7WSommaire du Match
41 - 2018-11-18175Rocket2Crunch5LSommaire du Match
44 - 2018-11-21187Senateurs8Rocket1LSommaire du Match
50 - 2018-11-27209Barracuda8Rocket6LSommaire du Match
53 - 2018-11-30221Rocket4Reigh6LSommaire du Match
55 - 2018-12-02228Blacknight5Rocket4LXSommaire du Match
57 - 2018-12-04234Rocket5Wolves3WSommaire du Match
62 - 2018-12-09251Devils7Rocket1LSommaire du Match
65 - 2018-12-12262Rocket6Barracuda7LSommaire du Match
69 - 2018-12-16279Heat6Rocket2LSommaire du Match
71 - 2018-12-18290Rocket4Crunch5LSommaire du Match
73 - 2018-12-20297Rocket2Bruins5LSommaire du Match
75 - 2018-12-22306Admirals5Rocket6WSommaire du Match
77 - 2018-12-24318Rocket3Icedogs6LSommaire du Match
79 - 2018-12-26326Rocket4Bears5LSommaire du Match
81 - 2018-12-28332Rocket1Condors10LSommaire du Match
82 - 2018-12-29338Monsters5Rocket4LXSommaire du Match
86 - 2019-01-02355Senateurs5Rocket2LSommaire du Match
88 - 2019-01-04369Rocket4Bruins5LSommaire du Match
90 - 2019-01-06379Rocket6Phantoms3WSommaire du Match
91 - 2019-01-07383Condors8Rocket1LSommaire du Match
96 - 2019-01-12403Sound Tigers7Rocket4LSommaire du Match
99 - 2019-01-15419Rocket1Stars5LSommaire du Match
101 - 2019-01-17424Rocket4Moose9LSommaire du Match
102 - 2019-01-18429Sound Tigers7Rocket4LSommaire du Match
107 - 2019-01-23451Rocket3Penguins2WSommaire du Match
108 - 2019-01-24455Wolves3Rocket9WSommaire du Match
111 - 2019-01-27466Rocket5Gulls4WXSommaire du Match
114 - 2019-01-30478Moose6Rocket7WSommaire du Match
119 - 2019-02-04500Bruins1Rocket7WSommaire du Match
125 - 2019-02-10520Icedogs4Rocket10WSommaire du Match
128 - 2019-02-13532Rocket9Thunderbird5WSommaire du Match
130 - 2019-02-15543Reigh3Rocket5WSommaire du Match
132 - 2019-02-17552Rocket9Penguins5WSommaire du Match
135 - 2019-02-20569Gulls0Rocket10WSommaire du Match
138 - 2019-02-23581Rocket6Monsters2WSommaire du Match
141 - 2019-02-26593Devils4Rocket10WSommaire du Match
144 - 2019-03-01603Rocket8Thunderbird2WSommaire du Match
146 - 2019-03-03616Crunch6Rocket4LSommaire du Match
148 - 2019-03-05627Rocket5Admirals3WSommaire du Match
151 - 2019-03-08641Marlies6Rocket5LSommaire du Match
152 - 2019-03-09650Rocket4Marlies5LXSommaire du Match
155 - 2019-03-12663Rocket3Senateurs9LSommaire du Match
156 - 2019-03-13669Marlies8Rocket9WXSommaire du Match
162 - 2019-03-19691Monsters5Rocket9WSommaire du Match
163 - 2019-03-20699Rocket6Heat1WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24714Thunderbird4Rocket7WSommaire du Match
172 - 2019-03-29736Reigh4Rocket5WSommaire du Match
176 - 2019-04-02750Rocket5Sound Tigers9LSommaire du Match
180 - 2019-04-06758Bruins4Rocket6WSommaire du Match
183 - 2019-04-09772Rocket-Sound Tigers-
185 - 2019-04-11780Rocket-Rampages-
186 - 2019-04-12788Thunderbird-Rocket-
189 - 2019-04-15800Rocket-Bears-
192 - 2019-04-18810Rampages-Rocket-
195 - 2019-04-21825Rocket-Monsters-
198 - 2019-04-24833Stars-Rocket-
202 - 2019-04-28854Penguins-Rocket-
207 - 2019-05-03871Penguins-Rocket-
209 - 2019-05-05879Rocket-Blacknight-
213 - 2019-05-09896Phantoms-Rocket-
215 - 2019-05-11905Rocket-Devils-
218 - 2019-05-14919Phantoms-Rocket-
220 - 2019-05-16928Rocket-Phantoms-
224 - 2019-05-20944Bears-Rocket-
232 - 2019-05-28964Bears-Rocket-
233 - 2019-05-29974Rocket-Devils-
235 - 2019-05-31980Rocket-Senateurs-



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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,562,198$ 979,912$ 979,912$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 802,778$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 8,354$ 476,178$




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
264253202500303337-3432161201300173160133292001200130177-47593035418441149125127219466086416916207472460177327010639.26%28912855.71%6596108754.83%602115951.94%746136454.69%137682214155601053518
Total Saison Régulière64253202500303337-3432161201300173160133292001200130177-47593035418441149125127219466086416916207472460177327010639.26%28912855.71%6596108754.83%602115951.94%746136454.69%137682214155601053518