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Rocket
GP: 80 | W: 38 | L: 30 | OTL: 12 | P: 88
GF: 350 | GA: 364 | PP%: 19.63% | PK%: 79.14%
DG: Pierre-Olivier Lévesque | Morale : 26 | Moyenne d’équipe : 63
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Centre de jeu
Rocket
38-30-12, 88pts
6
FINAL
3 Canucks
44-31-5, 93pts
Team Stats
L1SéquenceL2
24-12-4Fiche domicile24-15-1
14-18-8Fiche domicile20-16-4
5-3-2Derniers 10 matchs2-7-1
4.38Buts par match 4.54
4.55Buts contre par match 3.96
19.63%Pourcentage en avantage numérique23.93%
79.14%Pourcentage en désavantage numérique76.95%
Moose
41-34-5, 87pts
6
FINAL
4 Rocket
38-30-12, 88pts
Team Stats
W1SéquenceL1
20-16-4Fiche domicile24-12-4
21-18-1Fiche domicile14-18-8
3-6-1Derniers 10 matchs5-3-2
4.50Buts par match 4.38
4.21Buts contre par match 4.55
24.84%Pourcentage en avantage numérique19.63%
79.08%Pourcentage en désavantage numérique79.14%
Meneurs d'équipe
Buts
Brandon Pirri
48
Passes
Dominic Turgeon
64
Points
Brandon Pirri
107
Plus/Moins
Sergey Tolchinsky
19
Victoires
Eamon McAdam
20
Pourcentage d’arrêts
Jamie Phillips
0.868

Statistiques d’équipe
Buts pour
350
4.38 GFG
Tirs pour
2787
34.84 Avg
Pourcentage en avantage numérique
19.6%
64 GF
Début de zone offensive
37.3%
Buts contre
364
4.55 GAA
Tirs contre
2585
32.31 Avg
Pourcentage en désavantage numérique
79.1%%
68 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralPierre-Olivier Lévesque
EntraîneurRick Tocchet
DivisionThayer-Tutt
ConférenceRobert-Lebel
CapitaineScott Wilson
Assistant #1Peter Holland
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,785
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure18
Limite contact 52 / 250
Espoirs0


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
1Brandon PirriX100.007629727574737775737080577467563039710272975,000$
2Dominic Turgeon (R)X100.006336886771787167747767766552464646700223900,000$
3Peter Holland (A)X100.007839807473696875757170657065542946700271975,000$
4Scott Wilson (C)X100.007527757573777275706479607061573025700261975,000$
5Sergey Tolchinsky (R)X100.007421787568726577647070696948474446690231650,000$
6Karson Kuhlman (R)X100.007449777075597870697077685951524447690233850,000$
7Troy Terry (R)X100.006632817762695976656367657443455560660213700,000$
8Ty RattieX100.006226687369627569656478537152523724660251650,000$
9Jakob Lilja (R)X100.006238767073655871696358616854532243640251500,000$
10Raphael BussieresX100.006842746672646464596772576847482923640251500,000$
11JC LiponX100.007256677266536766686063556052533543630251500,000$
12Luke Kunin (R)X100.007337736972517172536168525743454646630212500,000$
13Mikhail Maltsev (R)X100.007046666879536972506363605143436423630202500,000$
14Branden Troock (R)X100.006145777064606566666264556146462742620241650,000$
15Francis Perron (R)X100.006137716449587169727869416244454523620221550,000$
16Taylor Leier (R)X100.005331825863625868565870526846463124610242450,000$
17Zack MacEwen (R)X100.006648616173617060566165555745463424600223600,000$
18MacKenzie Entwistle (R)X100.007436655468567855586960494441416224580191500,000$
19Chris Bigras (R)X100.007125877573807570567554816365484563720231925,000$
20Viktor LoovX100.007441827070737867577770716377573346720261900,000$
21Andrei Mironov (R)X100.006745877266696967627866756565514246700241650,000$
22Dylan DeMeloX100.006724847968727377537561716257513646700251900,000$
23Jack Glover (R)X100.006741827571717272626174676351475346680221650,000$
24Ryan Collins (R)X100.005435666565616358456956645244444123600221650,000$
25Rasmus Sandin (R)X100.005633665347686061316159475040407524550182500,000$
Rayé
1Damien Giroux (R)X100.006133715859536353585458466340406719550182500,000$
2Reese Johnson (R)X100.004721676250576267656253376044445119550201500,000$
3Niklas Nordgren (R)X100.004323694154504246604759393940405820480182400,000$
4Jake Pivonka (R)X100.004628585339534142484646314040406320440182500,000$
5Dean KukanX100.006643876977716969487655895567553631730251900,000$
MOYENNE D’ÉQUIPE100.00653675676664676760666559615148443564
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
1Eamon McAdam100.00656967586076775858816646474337650242500,000$
2Jamie Phillips100.00736779575478725855766049492843640251500,000$
Rayé
1Connor Ingram100.00555443464952525246434142424619480212250,000$
2Alexis Gravel (R)100.00524057564545554143425140406120470182500,000$
MOYENNE D’ÉQUIPE100.0061586254526364525161554445453056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet71647369344958USA431500,000$


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
1Brandon PirriRocket (Mon)LW764859107-711551487633510919814.33%39160621.141218304320712351527050.36%2745629011.3314000686
2Sergey TolchinskyRocket (Mon)LW8042489019400134832338113718.03%29133316.678816282190002666155.88%683914011.3500000338
3Dominic TurgeonRocket (Mon)C8025648910801101981756411614.29%54168621.08416201021020292422249.20%23131634101.0601000355
4Peter HollandRocket (Mon)C8033528532401141432368613113.98%33145918.24813212922900051253352.33%13933628001.1600000481
5Scott WilsonRocket (Mon)RW77414384-6800127862827113614.54%38146819.08111324512411123583259.65%1145725021.1403000446
6Chris BigrasRocket (Mon)D831046561610010514411344468.85%108198723.946713192430114301100%03463000.5600000123
7Troy TerryRocket (Mon)RW83212344142406957137528415.33%2291210.993477930001455043.48%233514000.9612000220
8Dean KukanRocket (Mon)D7263339-20807713910443555.77%127190626.485611212800333262000%02675000.4100000011
9Luke KuninRocket (Mon)C80152338-22408040129327511.63%87098.870336540000320040.43%376189001.0700000211
10Karson KuhlmanRocket (Mon)C80162137-182359070159599310.06%1785510.700000120000204155.77%3644215000.8600001114
11Viktor LoovRocket (Mon)D8063036-94409513015255643.95%99190823.85167262790003250000%03055000.3800000102
12Andrei MironovRocket (Mon)D8032528480561209136373.30%90159920.0011241910002208000%03534000.3500000000
13Ty RattieRocket (Mon)RW5316112743604445100325416.00%1470213.251343770001231035.48%31254000.7700000011
14Jakob LiljaRocket (Mon)LW80111324-63807353102315310.78%1585410.68000150001351072.00%25158000.5600000102
15JC LiponRocket (Mon)RW80121224-6400754087185113.79%147299.12000012000003064.71%171914000.6600000101
16Raphael BussieresRocket (Mon)LW6681321-5355432076224110.53%135348.1000000000070050.00%141210000.7900001000
17Dylan DeMeloRocket (Mon)D8011718516024715723251.75%6695811.98000024000133000%01138100.3800000001
18Jack GloverRocket (Mon)D8031518916027594822206.25%3690411.3000003000017000%02229000.4000000001
19Branden TroockRocket (Mon)RW7312416-810022124992524.49%53975.440000100000311240.63%3255000.8100000022
20Mikhail MaltsevRocket (Mon)LW40628-4140115206530.00%51614.031126670001270044.44%903000.9900000010
21Francis PerronRocket (Mon)LW38246-7201752081510.00%21624.29000030000490083.33%670000.7400000000
22Ryan CollinsRocket (Mon)D46055528051912460%223477.560000000006000%0112000.2900000000
23Rasmus SandinRocket (Mon)D340331120453230%42306.770000000001000%002000.2600000000
24Damien GirouxRocket (Mon)C7000000000000%060.9500000000040050.00%20000000000000
25Reese JohnsonRocket (Mon)C7000000000000%010.160000000000000%00000000000000
26Taylor LeierRocket (Mon)LW26000000100000%0120.48000000000110020.00%50000000000000
27Zack MacEwenRocket (Mon)RW30000-300111000%0270.920000300003000%10000000000000
Statistiques d’équipe totales ou en moyenne1691337566903-1165515155216212721909147012.39%8602346313.88619916025424724711412020371150.27%5067541520240.77210002293945
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
1Eamon McAdamRocket (Mon)46201370.8604.552480401881346633520.50024329110
2Jamie PhillipsRocket (Mon)44181550.8684.162322201611220569320.20053743200
3Connor IngramRocket (Mon)20200.46716.5529008155000008000
Statistiques d’équipe totales ou en moyenne923830120.8624.43483360357258112078478080310


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 Forcer UFA Rappel d'urgence 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
Alexis GravelRocket (Mon)G182000-01-01Yes219 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Andrei MironovRocket (Mon)D241994-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Branden TroockRocket (Mon)RW241994-01-01Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Brandon PirriRocket (Mon)LW271991-01-01No183 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm975,000$4,851$0$0$No1,200,000$--------No--------
Chris BigrasRocket (Mon)D231995-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,602$0$0$No------------------
Connor IngramRocket (Mon)G211997-01-01No196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm250,000$1,244$0$0$No250,000$--------No--------
Damien GirouxRocket (Mon)C182000-01-01Yes179 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Dean KukanRocket (Mon)D251993-01-01No192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Dominic TurgeonRocket (Mon)C221996-01-01Yes200 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$4,478$0$0$No900,000$900,000$-------NoNo-------
Dylan DeMeloRocket (Mon)D251993-01-01No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Eamon McAdamRocket (Mon)G241994-01-01No185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Francis PerronRocket (Mon)LW221996-01-01Yes178 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm550,000$2,736$0$0$No------------------
JC LiponRocket (Mon)RW251993-01-01No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jack GloverRocket (Mon)D221996-01-01Yes198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Jake PivonkaRocket (Mon)C182000-01-01Yes198 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Jakob LiljaRocket (Mon)LW251993-01-01Yes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jamie PhillipsRocket (Mon)G251993-01-01No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Karson KuhlmanRocket (Mon)C231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm850,000$4,229$0$0$No850,000$850,000$-------NoNo-------
Luke KuninRocket (Mon)C211997-01-01Yes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
MacKenzie EntwistleRocket (Mon)RW191999-01-01Yes184 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Mikhail MaltsevRocket (Mon)LW201998-01-01Yes220 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Niklas NordgrenRocket (Mon)RW182000-01-01Yes182 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm400,000$1,990$0$0$No400,000$--------No--------Lien
Peter HollandRocket (Mon)C271991-01-01No194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Raphael BussieresRocket (Mon)LW251993-01-01No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Rasmus SandinRocket (Mon)D182000-01-01Yes182 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Reese JohnsonRocket (Mon)C201998-01-01Yes193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Ryan CollinsRocket (Mon)D221996-01-01Yes204 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Scott WilsonRocket (Mon)RW261992-01-01No183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Sergey TolchinskyRocket (Mon)LW231995-01-01Yes185 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Taylor LeierRocket (Mon)LW241994-01-01Yes174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm450,000$2,239$0$0$No450,000$--------No--------
Troy TerryRocket (Mon)RW211997-01-01Yes180 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm700,000$3,483$0$0$No800,000$900,000$-------NoNo-------
Ty RattieRocket (Mon)RW251993-01-01No190 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Viktor LoovRocket (Mon)D261992-01-01No181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Zack MacEwenRocket (Mon)RW221996-01-01Yes205 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No600,000$600,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3422.59191 Lbs6 ft11.56636,765$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon PirriDominic TurgeonScott Wilson40122
2Sergey TolchinskyPeter HollandTy Rattie30122
3Jakob LiljaKarson KuhlmanTroy Terry20122
4Raphael BussieresLuke KuninJC Lipon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris BigrasViktor Loov40122
2Andrei MironovDylan DeMelo30122
3Jack GloverRyan Collins20122
4Rasmus SandinChris Bigras10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon PirriDominic TurgeonScott Wilson60122
2Sergey TolchinskyPeter HollandTy Rattie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris BigrasViktor Loov60122
2Andrei MironovDylan DeMelo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brandon PirriDominic Turgeon60122
2Scott WilsonPeter Holland40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris BigrasViktor Loov60122
2Andrei MironovDylan DeMelo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brandon Pirri60122Chris BigrasViktor Loov60122
2Dominic Turgeon40122Andrei MironovDylan DeMelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brandon PirriDominic Turgeon60122
2Scott WilsonPeter Holland40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris BigrasViktor Loov60122
2Andrei MironovDylan DeMelo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon PirriDominic TurgeonScott WilsonChris BigrasViktor Loov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon PirriDominic TurgeonScott WilsonChris BigrasViktor Loov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikhail Maltsev, Francis Perron, Branden TroockMikhail Maltsev, Francis PerronBranden Troock
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Glover, Ryan Collins, Rasmus SandinJack GloverRyan Collins, Rasmus Sandin
Tirs de pénalité
Brandon Pirri, Dominic Turgeon, Scott Wilson, Peter Holland, Karson Kuhlman
Gardien
#1 : Jamie Phillips, #2 : Eamon McAdam
Lignes d’attaque personnalisées en prolongation
Brandon Pirri, Dominic Turgeon, Scott Wilson, Peter Holland, Karson Kuhlman, Sergey Tolchinsky, Sergey Tolchinsky, Ty Rattie, Troy Terry, Jakob Lilja, Raphael Bussieres
Lignes de défense personnalisées en prolongation
Chris Bigras, Viktor Loov, Andrei Mironov, Dylan DeMelo, Jack Glover


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
1Admirals32001000141132100100011921100000032161.0001423370010113511141069229968542397392852700.00%14192.86%0959190850.26%919182750.30%707138750.97%1753100116677391419707
2Americans431000001917211000000431321000001514160.7501931500010113511141309229968542313442308312325.00%15286.67%0959190850.26%919182750.30%707138750.97%1753100116677391419707
3Barracuda622001012228-6321000001293301001011019-960.50022375900101135111421592299685423185707712121523.81%33681.82%0959190850.26%919182750.30%707138750.97%1753100116677391419707
4Bears3120000013121211000008621010000056-120.333132235001011351114115922996854231053626539222.22%13376.92%0959190850.26%919182750.30%707138750.97%1753100116677391419707
5Canucks32100000151141010000057-222000000104640.6671524391010113511149192299685423974136658450.00%18194.44%0959190850.26%919182750.30%707138750.97%1753100116677391419707
6Checkers211000001112-11010000048-41100000074320.5001117280010113511148292299685423692418366116.67%9188.89%2959190850.26%919182750.30%707138750.97%1753100116677391419707
7Comets21100000990110000006331010000036-320.500916250010113511148092299685423752318358112.50%9277.78%0959190850.26%919182750.30%707138750.97%1753100116677391419707
8Condors633000002427-33210000012120312000001215-360.50024396300101135111419592299685423174676312431825.81%29968.97%1959190850.26%919182750.30%707138750.97%1753100116677391419707
9Crunch220000001257110000006421100000061541.0001220320010113511148892299685423522314425120.00%7185.71%0959190850.26%919182750.30%707138750.97%1753100116677391419707
10Eagles2020000037-41010000024-21010000013-200.0003690010113511145792299685423671314529111.11%7357.14%0959190850.26%919182750.30%707138750.97%1753100116677391419707
11Griffins613002002431-73100020013130303000001118-740.33324406400101135111418892299685423214634211030723.33%21385.71%0959190850.26%919182750.30%707138750.97%1753100116677391419707
12Icehogs3210000018162211000001213-11100000063340.667182846101011351114104922996854239535165317635.29%8187.50%0959190850.26%919182750.30%707138750.97%1753100116677391419707
13Islander20200000615-91010000049-51010000026-400.000611170010113511147392299685423621510441200.00%440.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
14Little Stars32001000151052200000011741000100043161.00015213600101135111411392299685423893524541218.33%12375.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
15Marlies330000001284110000004312200000085361.000122133001011351114104922996854238832206512216.67%10190.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
16Moose614000012834-6311000011516-1303000001318-530.25028447210101135111419692299685423206696011330723.33%29775.86%0959190850.26%919182750.30%707138750.97%1753100116677391419707
17Penguins2100010013121110000007521000010067-130.7501323360010113511148292299685423651614415240.00%7357.14%1959190850.26%919182750.30%707138750.97%1753100116677391419707
18Phantoms311001001113-21100000052320100100611-530.500111728001011351114114922996854238829247311218.18%12375.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
19Punishers2110000011110110000009451010000027-520.5001118290010113511147892299685423652117376466.67%70100.00%2959190850.26%919182750.30%707138750.97%1753100116677391419707
20Reign302010001215-3100010007612020000059-420.33312203210101135111410492299685423993030731100.00%15566.67%0959190850.26%919182750.30%707138750.97%1753100116677391419707
21Senators4300000121183220000001073210000011111070.875213455001011351114145922996854231475938681516.67%19478.95%0959190850.26%919182750.30%707138750.97%1753100116677391419707
22Silver Knights21000100981110000007521000010023-130.750917260010113511146092299685423627124210220.00%6183.33%0959190850.26%919182750.30%707138750.97%1753100116677391419707
23Thunderbirds32100000121202110000079-21100000053240.66712203200101135111499922996854238428145614214.29%7185.71%0959190850.26%919182750.30%707138750.97%1753100116677391419707
24Wolfpack2010010047-31010000024-21000010023-110.25046100010113511146592299685423651512281100.00%6266.67%0959190850.26%919182750.30%707138750.97%1753100116677391419707
25Wranglers301002001215-32010010068-21000010067-120.3331220320010113511141039229968542310135185414214.29%9188.89%0959190850.26%919182750.30%707138750.97%1753100116677391419707
Total80353003903350364-14402212023011891761340131801602161188-27880.550350575925401011351114278792299685423258586767515743266419.63%3266879.14%6959190850.26%919182750.30%707138750.97%1753100116677391419707
_Since Last GM Reset80353003903350364-14402212023011891761340131801602161188-27880.550350575925401011351114278792299685423258586767515743266419.63%3266879.14%6959190850.26%919182750.30%707138750.97%1753100116677391419707
_Vs Conference50211802603217233-162413502301111101102681300302106132-26550.55021735457130101135111417049229968542316285704469892114320.38%2144379.91%1959190850.26%919182750.30%707138750.97%1753100116677391419707
_Vs Division247120030298120-22126300201525021219001014670-24190.39698160258101011351114794922996854237792692424681122724.11%1122577.68%1959190850.26%919182750.30%707138750.97%1753100116677391419707

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8088L135057592527872585867675157440
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8035303903350364
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4022122301189176
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4013181602161188
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3266419.63%3266879.14%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
922996854231011351114
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
959190850.26%919182750.30%707138750.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1753100116677391419707


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
29Moose6Rocket5LXXSommaire du match
528Condors4Rocket5WR1Sommaire du match
843Rocket4Americans1WSommaire du match
1055Griffins3Rocket5WR1Sommaire du match
1370Rocket4Barracuda11LSommaire du match
1579Barracuda2Rocket3WR1Sommaire du match
1687Rocket6Moose7LSommaire du match
19106Condors3Rocket5WR1Sommaire du match
21114Rocket3Condors5LSommaire du match
23126Rocket3Griffins7LR1Sommaire du match
26140Rocket4Marlies2WSommaire du match
28149Barracuda3Rocket2LR1Sommaire du match
31168Bears2Rocket5WSommaire du match
33179Rocket2Reign3LSommaire du match
35187Rocket3Barracuda4LXR1Sommaire du match
37197Thunderbirds4Rocket1LSommaire du match
40212Rocket5Thunderbirds3WSommaire du match
42221Rocket2Condors6LR1Sommaire du match
44231Phantoms2Rocket5WSommaire du match
46245Rocket7Checkers4WSommaire du match
48252Senators5Rocket7WSommaire du match
53274Admirals4Rocket5WXSommaire du match
55286Rocket2Silver Knights3LXSommaire du match
60303Americans3Rocket4WSommaire du match
62316Rocket3Comets6LSommaire du match
63327Icehogs6Rocket7WSommaire du match
67347Penguins5Rocket7WSommaire du match
70368Canucks7Rocket5LSommaire du match
72378Rocket4Little Stars3WXSommaire du match
75396Bears4Rocket3LSommaire du match
77404Rocket3Reign6LSommaire du match
81420Silver Knights5Rocket7WSommaire du match
83430Rocket3Barracuda4LXXR1Sommaire du match
86450Wolfpack4Rocket2LSommaire du match
90470Checkers8Rocket4LSommaire du match
93486Rocket5Senators4WSommaire du match
95496Rocket3Moose4LSommaire du match
96503Reign6Rocket7WXSommaire du match
99520Rocket2Phantoms6LSommaire du match
100528Griffins6Rocket5LXR1Sommaire du match
103541Rocket6Wranglers7LXSommaire du match
105553Comets3Rocket6WSommaire du match
108567Rocket6Senators7LXXSommaire du match
111579Rocket6Crunch1WSommaire du match
112586Senators2Rocket3WSommaire du match
115603Rocket2Islander6LSommaire du match
116611Barracuda4Rocket7WR1Sommaire du match
119625Rocket2Punishers7LSommaire du match
121636Thunderbirds5Rocket6WSommaire du match
123649Rocket6Griffins7LR1Sommaire du match
125661Icehogs7Rocket5LSommaire du match
127671Rocket2Griffins4LR1Sommaire du match
129683Rocket2Wolfpack3LXSommaire du match
131691Crunch4Rocket6WSommaire du match
133706Rocket3Admirals2WSommaire du match
135714Rocket4Moose7LSommaire du match
136722Punishers4Rocket9WSommaire du match
140742Islander9Rocket4LSommaire du match
142754Rocket6Icehogs3WSommaire du match
143767Rocket5Bears6LSommaire du match
145774Moose4Rocket6WSommaire du match
147792Eagles4Rocket2LSommaire du match
149798Rocket4Marlies3WSommaire du match
151808Rocket6Americans10LSommaire du match
154824Griffins4Rocket3LXR1Sommaire du match
156834Rocket1Eagles3LSommaire du match
158841Rocket6Penguins7LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160852Marlies3Rocket4WSommaire du match
166878Admirals5Rocket6WSommaire du match
169892Rocket7Condors4WR1Sommaire du match
171903Condors5Rocket2LSommaire du match
173916Rocket5Americans3WSommaire du match
175927Wranglers4Rocket3LXSommaire du match
176934Rocket4Phantoms5LXSommaire du match
180953Rocket4Canucks1WSommaire du match
181960Wranglers4Rocket3LSommaire du match
184980Little Stars4Rocket6WSommaire du match
1901005Little Stars3Rocket5WSommaire du match
1911012Rocket6Canucks3WSommaire du match
1981030Moose6Rocket4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance74,03437,349
Assistance PCT92.54%93.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2785 - 92.82% 175,254$7,010,158$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,056,695$ 2,750,000$ 2,675,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,682$ 2,555,492$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 16,169$ 16,169$




Rocket 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

Rocket 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

Rocket 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

Rocket 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

Rocket 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