Rimouski Oceanic

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Robert Breton | Morale : 1 | Moyenne d'Équipe : 58
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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
1Andrew PoturalskiXXX100.007165866265869168806962665955556764640
2Riley BarberXXX100.006970656670767967506269626644446760620
3Nick PaulXX100.007945937186528063465961522548486151590
4Felix GirardX100.006869666769818950634846594451515424560
5Ryan MacInnisX100.007571836071748053665546624444445649560
6Steven FogartyX100.006743996277488653455055552544445845550
7Reid DukeX100.007370796570525255694956615344445834550
8Ryan Dmowski (R)X100.008275996775484755506144664244445721550
9Deven SideroffX100.007163896363545553505644624252525441540
10Connor CliftonX100.008678787465758055254850764555555951650
11Connor CarrickX100.006962837770716165256148712564646240640
12Taylor FedunX100.006342917172637663255449762556566152630
13Andreas EnglundX100.007071687471788648253741613955555449600
14Dan RenoufX100.007076556676829051254640613853535445600
15Mark AltX100.007977856877636749254042634044445435580
16Kyle CapobiancoX100.006666656466636462255852604944445946570
17Kyle BurroughsX100.006973596273798847253741573944445142570
18William Borgen (R)X100.007270786770697546253740593844445222560
19Jake CheliosX100.007570886170657048254039623749495234560
Rayé
1Jordan NolanXXX100.008145727380518764256255692567696420620
2Nicholas BaptisteX100.008075907375808756505058655545456320600
3Mark McNeillX100.007978816678666957715654655144446120580
4Tyler SikuraXX100.007772876872737856705354645144446020580
5Ben SextonX100.007170746770575758735654645155555926570
6Jeremy GregoireX100.006670576470758153664754585147475620550
7Grayson DowningX100.006871616771525350504746594450505219520
8Tim CliftonX100.007971996771474748604744634244445315520
9Marco RoyX100.007265886565576046584146594444445220510
MOYENNE D'ÉQUIPE100.00736779677266735546515063424949583558
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
1Chris Nell100.00665063677065727571713044446736640
2Filip Gustavsson (R)100.00506379724650505648483044445128530
Rayé
1Tyler Parsons (R)100.00494759704949505449493044445020510
MOYENNE D'ÉQUIPE100.0055536770555557625656304444562856
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Dennis55504350473547CAN51160,000$


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
Andreas EnglundRimouski Oceanic (ANA)D221996-01-21No189 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Andrew PoturalskiRimouski Oceanic (ANA)C/LW/RW241994-01-14No181 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Ben SextonRimouski Oceanic (ANA)C271991-06-06No196 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLien
Chris NellRimouski Oceanic (ANA)G231994-09-02No178 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Connor CarrickRimouski Oceanic (ANA)D241994-04-13No192 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Connor CliftonRimouski Oceanic (ANA)D231995-04-28No175 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Dan RenoufRimouski Oceanic (ANA)D241994-06-01No205 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Deven SideroffRimouski Oceanic (ANA)RW211997-04-14No171 Lbs5 ft11NoNoNo2Pro & Farm911,000$0$0$No911,000$Lien
Felix GirardRimouski Oceanic (ANA)C241994-05-09No197 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Filip GustavssonRimouski Oceanic (ANA)G201998-06-07Yes184 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Grayson DowningRimouski Oceanic (ANA)C261992-04-18No197 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien
Jake CheliosRimouski Oceanic (ANA)D271991-03-08No185 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Jeremy GregoireRimouski Oceanic (ANA)C221995-09-05No193 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Jordan NolanRimouski Oceanic (ANA)C/LW/RW291989-06-22No219 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Kyle BurroughsRimouski Oceanic (ANA)D221995-07-12No203 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$NoLien
Kyle CapobiancoRimouski Oceanic (ANA)D201997-08-13No178 Lbs6 ft1NoNoNo2Pro & Farm745,000$0$0$No745,000$Lien
Marco RoyRimouski Oceanic (ANA)C231994-11-05No175 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Mark AltRimouski Oceanic (ANA)D261991-10-17No201 Lbs6 ft4NoNoNo1Pro & Farm725,000$0$0$NoLien
Mark McNeillRimouski Oceanic (ANA)C251993-02-22No214 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Nicholas BaptisteRimouski Oceanic (ANA)RW221995-08-04No206 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Nick PaulRimouski Oceanic (ANA)C/LW231995-03-20No230 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Reid DukeRimouski Oceanic (ANA)C221996-01-28No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Riley BarberRimouski Oceanic (ANA)C/LW/RW241994-02-07No193 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan DmowskiRimouski Oceanic (ANA)LW211997-03-18Yes209 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien
Ryan MacInnisRimouski Oceanic (ANA)C221996-02-13No185 Lbs6 ft3NoNoNo1Pro & Farm874,125$0$0$NoLien
Steven FogartyRimouski Oceanic (ANA)C251993-04-18No206 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Taylor FedunRimouski Oceanic (ANA)D301988-06-04No198 Lbs6 ft1NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien
Tim CliftonRimouski Oceanic (ANA)C261992-05-22No194 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien
Tyler ParsonsRimouski Oceanic (ANA)G201997-09-18Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Tyler SikuraRimouski Oceanic (ANA)C/LW261992-05-18No194 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
William BorgenRimouski Oceanic (ANA)D211996-12-19Yes187 Lbs6 ft2NoNoNo3Pro & Farm864,166$0$0$No864,166$864,166$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.68194 Lbs6 ft11.10614,735$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Riley BarberAndrew PoturalskiDeven Sideroff40122
2Ryan DmowskiNick PaulFelix Girard30122
3Andrew PoturalskiFelix GirardRiley Barber20122
4Nick PaulRyan MacInnisRyan Dmowski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick40122
2Taylor FedunAndreas Englund30122
3Dan RenoufMark Alt20122
4Kyle CapobiancoKyle Burroughs10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Riley BarberAndrew PoturalskiDeven Sideroff60122
2Ryan DmowskiNick PaulFelix Girard40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andrew PoturalskiRiley Barber60122
2Nick PaulFelix Girard40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Poturalski60122Connor CliftonConnor Carrick60122
2Riley Barber40122Taylor FedunAndreas Englund40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andrew PoturalskiRiley Barber60122
2Nick PaulFelix Girard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Riley BarberAndrew PoturalskiDeven SideroffConnor CliftonConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Riley BarberAndrew PoturalskiDeven SideroffConnor CliftonConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Reid Duke, Steven Fogarty, Ryan MacInnisReid Duke, Steven FogartyRyan MacInnis
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
William Borgen, Jake Chelios, Dan RenoufWilliam BorgenJake Chelios, Dan Renouf
Tirs de Pénalité
Andrew Poturalski, Riley Barber, Nick Paul, Felix Girard, Ryan MacInnis
Gardien
#1 : Chris Nell, #2 : Filip Gustavsson


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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,905,680$ 1,905,680$ 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
Saison Régulière
201682254304433340411-7141142002320170198-2841112302113170213-43503405388783067143123828968411068970343062970259018952205525.00%28211060.99%12871184347.26%846181746.56%696156544.47%165588717437951568754
201782235006201318402-8441112601201152199-4741122405000166203-3746318526844208010412862675768955935202877972154014872157735.81%2508864.80%3896172651.91%839164850.91%681142647.76%161381316957841626824
201882303904513324354-3041141802313172174-241162102200152180-2860324508832107610813592416702817868452961977127414982118339.34%2257566.67%5775150451.53%922179351.42%693138849.93%150870417538121693863
201982214604335275371-964192401322133188-5541122203013142183-41422754517260052113103102055503747776543043997116112991726839.53%2208461.82%6599130246.01%791175345.12%616133546.14%143963318158061719899
Total Saison Régulière328991780181471212571538-2811644888061156627759-1321645190012326630779-1491981257202332806027546848933100422814358735491531194339166565617981828334.60%97735763.46%263141637549.27%3398701148.47%2686571447.01%621730387008319866073341