Rampage

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Philippe Lefebvre | Morale : 50 | Moyenne d'Équipe : 62
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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
1Adam GaudetteX100.006142807271758569787065567267655381650
2Ben StreetX100.005941876372807661656260646182763981630
3Rudolfs BalcersX100.005739836568757264586363616465635680620
4Zac DalpeX100.006345896280737261696063596277795881620
5Luke JohnsonX100.005639876168767262746059636271665881610
6Keegan KolesarX100.006749886186777360575958625865636679610
7Taylor LeierX100.005345886068818362565861596071665780610
8C.J. SmithX100.005742836269777361576060586271665960600
9Devon ToewsX100.006239886976858168307666625471675881670
10Sean WalkerX100.007639856772837966307463655371664250670
11Dennis GilbertX100.007255775984817958305756615267646281630
12Andrew MacWilliamX100.007261765485878652305353574578705581620
13Kyle CapobiancoX100.006147846477797362306359615565626832620
14Nicolas MelocheX100.007153825885838156305552594565637581620
15Alexandre CarrierX100.005642886067848059306157585467645880610
16Chaz ReddekoppX100.007362645687807954305351574565636263610
Rayé
1Carter VerhaegheX100.005839866473798162726361656469666280630
2Garrett WilsonX100.007755766287757861566060635977695620630
3Michael AmadioX100.005439866678718064786563626667646119630
4Kevin StenlundX100.006646896288837861725959606267636820620
5Joel LowryX100.005755806173868759576056585677695631610
6Kyle RauX100.005639846364798062566160596375685320610
7Kurtis GabrielX100.007257736086757758505657596073675473610
8Joseph BlandisiX100.005849796170777958706159605871675320600
9Alex BroadhurstX100.005542856070878658605956576073675820600
10Beck MalenstynX100.006448885983817956525758615663625620600
11Blaine ByronX100.005345875969888657605858565769656020590
12Brandon BaddockX100.007275655686888755525453575569656020590
13Joona KoppanenX100.006945815788848256515355585663615720590
14Julien NantelX100.005942815673797854505255575367646120570
15Ty RonningX100.005338875363737255505154525365636420550
16Matt DonovanX100.006449866378807662306158595378705680630
17Tyler LewingtonX100.006357756081777259305857615371665381620
18Colton WhiteX100.006343876274817861305957585365636220610
19Andrew NielsenX100.007158735485797852305350574567646546600
20Josh WesleyX100.006646855682737254305352554567646220590
21Colby WilliamsX100.005347785860767556305550574569655820580
MOYENNE D'ÉQUIPE100.00634782617680795949595859567066585061
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
1Pavel Francouz100.00847876708382848382848378845680780
2Andrew Hammond100.00738280857271737271737280865358730
Rayé
1Andrew Shortridge100.00715856837069717069717069736035680
MOYENNE D'ÉQUIPE100.0076737179757476757476757681565873
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rocky Thompson67706666656183CAN423100,000$


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
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


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 Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam GaudetteRampage (STL)C231996-10-03No170 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Alex BroadhurstRampage (STL)C271993-03-07No178 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Alexandre CarrierRampage (STL)D231996-10-08No174 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$NoLien
Andrew HammondRampage (STL)G321988-02-11No223 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Andrew MacWilliamRampage (STL)D301990-03-25No223 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Andrew NielsenRampage (STL)D231996-11-13No210 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Andrew ShortridgeRampage (STL)G251995-04-26No185 Lbs6 ft4NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Beck MalenstynRampage (STL)LW221998-02-04No200 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Ben StreetRampage (STL)C331987-02-13No190 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Blaine ByronRampage (STL)C251995-02-21No172 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Brandon BaddockRampage (STL)LW251995-03-29No215 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
C.J. SmithRampage (STL)LW251994-12-01No184 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Carter VerhaegheRampage (STL)C241995-08-14No177 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Chaz ReddekoppRampage (STL)D231997-01-01No219 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Colby WilliamsRampage (STL)D251995-01-26No191 Lbs5 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Colton WhiteRampage (STL)D231997-05-03No185 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Dennis GilbertRampage (STL)D231996-10-30No216 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Devon ToewsRampage (STL)D261994-02-21No191 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Garrett WilsonRampage (STL)LW291991-03-16No218 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Joel LowryRampage (STL)LW281991-11-15No180 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Joona KoppanenRampage (STL)LW221998-02-25No192 Lbs6 ft5NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Joseph BlandisiRampage (STL)C251994-07-18No187 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien
Josh WesleyRampage (STL)D241996-04-09No195 Lbs6 ft3NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Julien NantelRampage (STL)LW231996-09-06No193 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Keegan KolesarRampage (STL)RW231997-04-08No227 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Kevin StenlundRampage (STL)C231996-09-20No209 Lbs6 ft4NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Kurtis GabrielRampage (STL)RW271993-04-20No200 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLien
Kyle CapobiancoRampage (STL)D221997-08-13No196 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Kyle RauRampage (STL)LW271992-10-24No176 Lbs5 ft8NoNoNo0Pro & Farm0$0$NoLien
Luke JohnsonRampage (STL)C251994-09-19No177 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$NoLien
Matt DonovanRampage (STL)D301990-05-09No205 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Michael AmadioRampage (STL)C241996-05-13No204 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Nicolas MelocheRampage (STL)D221997-07-18No210 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Pavel FrancouzRampage (STL)G291990-06-03No179 Lbs6 ft0NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Rudolfs BalcersRampage (STL)LW231997-04-08No180 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Sean WalkerRampage (STL)D251994-11-13No196 Lbs5 ft11NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Taylor LeierRampage (STL)LW261994-02-15No180 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Ty RonningRampage (STL)RW221997-10-20No167 Lbs5 ft9NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Tyler LewingtonRampage (STL)D251994-12-05No200 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Zac DalpeRampage (STL)C301989-11-01No197 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4025.28194 Lbs6 ft11.70285,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rudolfs BalcersKeegan Kolesar40122
2Ben StreetZac Dalpe30122
3C.J. SmithZac Dalpe20122
4Taylor LeierAdam GaudetteRudolfs Balcers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews40122
2Sean WalkerAndrew MacWilliam30122
3Nicolas MelocheDennis Gilbert20122
4Chaz Reddekopp10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rudolfs BalcersKeegan Kolesar60122
2Ben StreetZac Dalpe40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews60122
2Sean WalkerAndrew MacWilliam40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Rudolfs Balcers60122
2Ben Street40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews60122
2Sean WalkerAndrew MacWilliam40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Devon Toews60122
2Rudolfs Balcers40122Sean WalkerAndrew MacWilliam40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Rudolfs Balcers60122
2Ben Street40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon Toews60122
2Sean WalkerAndrew MacWilliam40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rudolfs BalcersKeegan KolesarDevon Toews
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rudolfs BalcersKeegan KolesarDevon Toews
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Luke Johnson, , Adam GaudetteLuke Johnson, Adam Gaudette
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Alexandre Carrier, Kyle CapobiancoAlexandre Carrier, Kyle Capobianco
Tirs de Pénalité
, Rudolfs Balcers, , Ben Street, Zac Dalpe
Gardien
#1 : Pavel Francouz, #2 : Andrew Hammond


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
0$ 114,000$ 3,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
Séries
1413760000027234642000001511473400000121201427497601106833071168990122689016923357610.53%59984.75%119140946.70%19136652.19%10218754.55%32322231510116785
Total Séries13760000027234642000001511473400000121201427497601106833071168990122689016923357610.53%59984.75%119140946.70%19136652.19%10218754.55%32322231510116785