Pirates

DG: Jiri Hanus Morale : 47 Moyenne d'Équipe : 54
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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
1Tomas NosekXX100.00697964645966645773323655504444042540
2Chris BrownXXX100.00697964715964625775333455504646057540
3David DziurzynskiX100.00588058695961615775333556504545039530
4Jordan SzwarzX100.00597261695564625768323557504747048530
5Austen Brassard (R)X100.00597061605471665969333557504444048520
6Jeremy LangloisX100.00616470625065635767343459504444048520
7Ryan MartindaleX100.00627670625849595675343562504444048520
8Remi Elie (R)X100.00607562685754605566313257504444048510
9Cole Cassels (R)X100.00616570655153605259282856504444048490
10Ryan SproulX100.00897898757685845225343365505555049630
11Corey PotterX100.00587666736065686025303058505960052550
12Clark Seymour (R)X100.00597766616257596025293459504747048520
13Mike MooreX100.00587565606063675525263156504545045510
14Aaron Harstad (R)X100.00577364645957625425282656504545048500
Rayé
1Jeff TambelliniXX100.00716774665256606169344259594444048550
MOYENNE D'ÉQUIPE100.0063746866586264575531335851464704853
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
1Niklas Treutle (R)100.0065726671686764686364485555048630
2Eamon McAdam (R)94.0064555560626466616563655255047620
MOYENNE D'ÉQUIPE97.006564616665666565646457545504863
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Travis Green70687169606180CAN455100,000$


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'Équipe# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Jordan SzwarzPiratesPirates (ARI)RW4314-22041371423.08%218.:.520000000000.00%0133001.0600
2David DziurzynskiPiratesPirates (ARI)LW4123-31010415266.67%418.:.53000000400100.00%174000.7900
3Austen BrassardPiratesPirates (ARI)RW4022-300511450.00%221.:.1701100010050.00%695000.4700
4Ryan MartindalePiratesPirates (ARI)C4022-300414560.00%619.:.2100000010062.75%5162000.5200
5Chris BrownPiratesPirates (ARI)C/LW/RW4022-33525811660.00%318.:.3701100050069.12%68102000.5400
6Tomas NosekPiratesPirates (ARI)C/LW4101-216109154106.67%021.:.2800000060075.00%4142000.2300
7Ryan SproulPiratesPirates (ARI)D4101-755711859.09%828.:.301010007000.00%165000.1800
8Aaron HarstadPiratesPirates (ARI)D4011-22052100.00%419.:.060000001000.00%001000.2600
9Remi EliePiratesPirates (ARI)LW4011-420118390.00%017.:.50000000300100.00%284000.2800
10Cole CasselsPiratesPirates (ARI)C4000-50071050.00%118.:.2700000060055.81%4311000.0000
11Clark SeymourPiratesPirates (ARI)D4000-32049640.00%525.:.170000006000.00%0311000.0000
12Corey PotterPiratesPirates (ARI)D4000-5101046170.00%1023.:.550000007000.00%017000.0000
13Jeremy LangloisPiratesPirates (ARI)RW4000-62078350.00%218.:.3400000000029.41%1754000.0000
14Mike MoorePiratesPirates (ARI)D4000-317557030.00%821.:.130000006000.00%001000.0000
Stats d'équipe Total ou en Moyenne5661117-5110365848513150854.58%55116520.8212320690003590060.62%1938352000.2900553010
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 McAdamPiratesPirates (ARI)404086.6%4.27239001712778000.0%040000
Stats d'équipe Total ou en Moyenne40400.8664.27239001712778000.000040000


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 POS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Aaron HarstadD2427.04.1992Yes198 Lbs6 ft2NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Austen BrassardRW2314.01.1993Yes188 Lbs6 ft2NoNo8Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Chris BrownC/LW/RW2503.02.1991 4:24:21No215 Lbs6 ft2NoNo1Pro & Farm800,000$0$Lien
Clark SeymourD2318.05.1993Yes202 Lbs6 ft4NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Cole CasselsC2104.05.1995Yes178 Lbs6 ft0NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Corey PotterD3205.01.1984No204 Lbs6 ft3NoNo1Pro & Farm1,500,000$0$Lien
David DziurzynskiLW2706.10.1989No215 Lbs6 ft3NoNo1Pro & Farm700,000$0$Lien
Eamon McAdamG2224.09.1994 1:02:52Yes185 Lbs6 ft2NoNo7Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$
Jeff TambelliniC/LW3213.04.1984No186 Lbs5 ft11NoNo1Pro & Farm600,000$0$Lien
Jeremy LangloisRW2602.06.1990No173 Lbs6 ft0NoNo3Pro & Farm700,000$0$700,000$700,000$Lien
Jordan SzwarzRW2414.05.1992 18:05:04No200 Lbs5 ft11NoNo1Pro & Farm700,000$0$Lien
Mike MooreD3112.12.1984No209 Lbs6 ft1NoNo5Farm Only100,000$0$100,000$100,000$100,000$100,000$Lien
Niklas TreutleG2529.04.1991 4:10:09Yes185 Lbs6 ft2NoNo1Pro & Farm500,000$0$Lien
Remi ElieLW2115.04.1995Yes205 Lbs6 ft1NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Ryan MartindaleC2427.10.1991 2:24:59No203 Lbs6 ft3NoNo6Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$Lien
Ryan SproulD2301.07.1993No206 Lbs6 ft4NoNo8Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Tomas NosekC/LW2401.09.1992 1:26:27No210 Lbs6 ft3NoNo2Pro & Farm800,000$0$800,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1725.12198 Lbs6 ft24.9411764705882423,529$



Attaque à 5 contre 5
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Chris BrownTomas NosekAusten Brassard40023
2Ryan MartindaleDavid DziurzynskiJordan Szwarz30023
3Cole CasselsRemi ElieJeremy Langlois20131
4Chris BrownTomas NosekAusten Brassard10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulCorey Potter40212
2Clark SeymourMike Moore30221
3Aaron HarstadRyan Sproul20131
4Corey PotterClark Seymour10131
Attaque en Avantage Numérique
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Chris BrownTomas NosekAusten Brassard60122
2Ryan MartindaleDavid DziurzynskiJordan Szwarz40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulCorey Potter60122
2Clark SeymourMike Moore40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris BrownTomas Nosek60122
2Austen BrassardDavid Dziurzynski40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulCorey Potter60122
2Clark SeymourMike Moore40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chris Brown60122Ryan SproulCorey Potter60122
2Tomas Nosek40122Clark SeymourMike Moore40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris BrownTomas Nosek60122
2Austen BrassardDavid Dziurzynski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulCorey Potter60122
2Clark SeymourMike Moore40122
Attaque Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Chris BrownTomas NosekAusten BrassardRyan SproulCorey Potter
Défense Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Chris BrownTomas NosekAusten BrassardRyan SproulCorey Potter
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jeremy Langlois, Remi Elie, Cole CasselsJeremy Langlois, Remi ElieCole Cassels
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Aaron Harstad, Mike Moore, Ryan SproulAaron HarstadMike Moore, Ryan Sproul
Tirs de Pénalité
Chris Brown, Tomas Nosek, Austen Brassard, David Dziurzynski, Jordan Szwarz
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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
1PiratesWolf Pack1010000016-500.00012300510018464839034154125100.00%3166.67%0416959.42%466768.66%305752.63%855290336431
2PiratesBulldogs1010000012-100.0001230051004046483903613417100.00%20100.00%0416959.42%466768.66%305752.63%855290336431
3PiratesMonsters1010000035-200.000358005100374648390311256252150.00%30100.00%0416959.42%466768.66%305752.63%855290336431
4PiratesSharks1010000014-300.0001230051003846483902615217300.00%10100.00%0416959.42%466768.66%305752.63%855290336431
Vs Division2020000049-500.0004711005100754648390572758425120.00%40100.00%0416959.42%466768.66%305752.63%855290336431
Vs Conference2020000049-500.0004711005100754648390572758425120.00%40100.00%0416959.42%466768.66%305752.63%855290336431
Since Last GM Reset40400000617-1100.00061117005100133464839012755103847114.29%9188.89%0416959.42%466768.66%305752.63%855290336431
Total40400000617-1100.00061117005100133464839012755103847114.29%9188.89%0416959.42%466768.66%305752.63%855290336431

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L461117133127551038400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000617
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000411
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000026
Derniers 10 Matchs
WLOTWOTL SOWSOL
040000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
7114.29%9188.89%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
46483905100
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
416959.42%466768.66%305752.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
855290336431


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
DateMatchup Result Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Sun, Nov 24Pirates@PiratesPirates1,Sharks4RECAP
Mon, Nov 25Pirates@PiratesPirates1,Bulldogs2RECAP
Thu, Nov 28Pirates@PiratesWolf Pack6,Pirates1RECAP
Fri, Nov 29Pirates@PiratesMonsters5,Pirates3RECAP



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
0 0 - 0.00% 0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
720,000$ 240,000$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
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