Pirates

GP: 84 | W: 21 | L: 50 | OTL: 13 | P: 55
GF: 294 | GA: 245 | PP%: 14.71% | PK%: 92.31%
DG: Marc Daviau | Morale : 50 | Moyenne d'Équipe : 73
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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
1Jordan Martinook0X100.00383167405073806767838085514543050820
2Brock Boeser (R)0X100.00222479383977856630698762574030050760
3Daniel Catenacci0X100.00422673674339775639687257565344050660
4JC Lipon0X100.00514666684429695630687157575361050650
5Nicolas Kerdiles (R)0X100.00333172694652245640687055574643050650
6Brendan Guhle (R)0X100.00222979633657787030707051574340050720
7Jacob Larsson (R)0X100.00202877624057856930707052574239050720
8Tommy Cross0X100.00213377646145856930707150576056050720
9Gustav Olofsson0X100.00322878604646737330727155574132050710
10Mikhail Sergachev (R)0X100.00312978645242857030707051573433050690
Rayé
MOYENNE D'ÉQUIPE100.0031317560465274653671735856464205071
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
1Zane McIntyre100.0086724486918793858966543736050820
2Jordan Binnington100.0087703486898787898967573636050810
Rayé
MOYENNE D'ÉQUIPE100.008771398690879087896756373605082
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz70737246817870CAN554450,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jordan MartinookPirates (Out)LW824869117221801773062908717116.55%159192723.5061622502142137594557.46%4565790041.21011000654
2Christian FischerOutlawsRW82284371-1840731242378416611.81%50155919.025813271300002251342.11%7612721020.9108000311
3Brock BoeserPirates (Out)RW262445695360134075213832.00%1452420.163471072022334122.22%18328022.6300000114
4Sean KuralyOutlawsC82273966-81601921082074812213.04%44148618.134812241230111281046.96%9867128000.8914000114
5Nicolas KerdilesPirates (Out)LW82233659-21201151161466311315.75%65170920.85279242110000181137.66%7713222040.6900000011
6Tommy CrossPirates (Out)D84232851258037118123634518.70%66195523.28213282081012442038.46%135742010.5200000110
7Daniel CatenacciPirates (Out)C84122436-1912012114814146998.51%41138116.45224211200002220043.31%8898724010.5211000020
8Brayden PointOutlawsC91417313200462411858.33%612113.48123113000080156.00%7524015.1101000100
9Gustav OlofssonPirates (Out)D8292029314010114111935447.56%99173721.19112201661011290043.18%443645010.3300000011
10JC LiponPirates (Out)RW84111627-35160216138136621008.09%46142516.9702214113000130033.77%778736010.3800000002
11Mikhail SergachevPirates (Out)D8251520192088808531495.88%49152618.6202231020002140036.07%613833000.2600000000
12Brendan GuhlePirates (Out)D8241418-4005712912167473.31%88213426.03145332570001700053.33%154449000.1700000000
13Jacob LarssonPirates (Out)D67145-702039939235401.09%79165024.63000211830001370048.39%313932000.0600000000
Stats d'équipe Total ou en Moyenne928229370599261000123315471796653104212.75%8061914120.63275784276191744823366131146.56%28188094340170.63225000131317
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
1Andrei VasilevskiyOutlaws1912520.9351.7211532233507255000.8005190431
2Zane McIntyrePirates (Out)67749110.9073.0039784219921311124240.500266732763
3Jordan BinningtonPirates (Out)71100.8952.7721701109548000.0000250000
Stats d'équipe Total ou en Moyenne932055130.9112.7253496524227331427240.5483188821194


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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
Brendan GuhlePirates (Out)D201997-07-29Yes186 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$No894,167$Lien
Brock BoeserPirates (Out)RW201997-02-25Yes191 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,491,667$0$0$No1,491,667$Lien / Lien NHL
Daniel CatenacciPirates (Out)C241993-03-09No196 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien
Gustav OlofssonPirates (Out)D221994-12-01No195 Lbs191 CMNoNoNo3Contrat d'EntréePro & Farm925,000$0$0$No725,000$725,000$Lien / Lien NHL
JC LiponPirates (Out)RW241993-07-10No183 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Jacob LarssonPirates (Out)D201997-04-29Yes191 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No925,000$Lien
Jordan BinningtonPirates (Out)G241993-07-11No167 Lbs185 CMNoNoNo3Avec RestrictionPro & Farm600,000$0$0$No660,000$660,000$Lien NHL
Jordan MartinookPirates (Out)LW251992-07-25No202 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm613,000$0$0$No613,000$Lien / Lien NHL
Mikhail SergachevPirates (Out)D191998-06-25Yes215 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,775,000$0$0$No1,775,000$
Nicolas KerdilesPirates (Out)LW231994-01-11Yes191 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$No925,000$Lien NHL
Tommy CrossPirates (Out)D281989-09-12No205 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$No
Zane McIntyrePirates (Out)G251992-08-20No206 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$No925,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1222.83194 Lbs185 CM1.92912,403$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan Martinook40122
2Nicolas KerdilesDaniel CatenacciJC Lipon30122
3Jordan Martinook20122
4JC LiponDaniel CatenacciNicolas Kerdiles10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob LarssonBrendan Guhle40122
2Tommy CrossGustav Olofsson30122
3Mikhail SergachevJacob Larsson20122
4Brendan GuhleTommy Cross10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan Martinook60122
2Nicolas KerdilesDaniel CatenacciJC Lipon40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob LarssonBrendan Guhle60122
2Tommy CrossGustav Olofsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jordan Martinook60122
2Daniel Catenacci40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob LarssonBrendan Guhle60122
2Tommy CrossGustav Olofsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jordan Martinook60122Jacob LarssonBrendan Guhle60122
240122Tommy CrossGustav Olofsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jordan Martinook60122
2Daniel Catenacci40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob LarssonBrendan Guhle60122
2Tommy CrossGustav Olofsson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan MartinookJacob LarssonBrendan Guhle
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan MartinookJacob LarssonBrendan Guhle
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
JC Lipon, Nicolas Kerdiles, JC Lipon, Nicolas Kerdiles
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikhail Sergachev, Gustav Olofsson, Jacob LarssonMikhail SergachevGustav Olofsson, Jacob Larsson
Tirs de Pénalité
Jordan Martinook, , , Daniel Catenacci, JC Lipon
Gardien
#1 : Zane McIntyre, #2 : Jordan Binnington


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
1Barracuda3020010059-42010010046-21010000013-210.16759140093106889766586826666677230819222.22%000.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
2Benchwarmers1044000021192495531000017586751300001441628100.500119210329119310688929465868266666238962620423730.43%120100.00%5618136445.31%662150543.99%544107350.70%1689101220617001362687
3Caribou3020100068-2201010005501010000013-220.3336111700931068897965868266666924625815320.00%10100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
4Casse-Tete2020000039-61010000013-21010000026-400.00034710931068895065868266666842743710110.00%20100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
5Chevalier3020000127-52010000126-41010000001-110.1672460093106889696586826666610946060300.00%000.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
6Diabotins851001104613333200001072553100100391128130.8134664110029310688918965868266666187661414925416.00%7185.71%0618136445.31%662150543.99%544107350.70%1689101220617001362687
7Evil Saints3020000138-52020000026-41000000112-110.167347009310688975658682666668428071300.00%000.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
8Giants50400001418-143020000129-72020000029-710.1004610009310688912465868266666161524853326.06%2150.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
9Hooligans60500100718-112020000038-540300100410-610.0837121900931068891406586826666620662129416318.75%60100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
10Hybrides51400000717-103120000066020200000111-1020.2007121900931068891176586826666615350147918316.67%7185.71%0618136445.31%662150543.99%544107350.70%1689101220617001362687
11Jardiniers715000014425193020000159-44130000039162330.2144483127009310688914665868266666210851014720315.00%50100.00%1618136445.31%662150543.99%544107350.70%1689101220617001362687
12Leftovers833001102024-432100000770512001101317-490.5632032520093106889181658682666662741051815927518.52%9277.78%0618136445.31%662150543.99%544107350.70%1689101220617001362687
13Requins60402000920-1130201000412-83020100058-340.33391625109310688913865868266666226734762428.33%20100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
14Royaux60402000716-93010200068-23030000018-740.333710170093106889139658682666662066981032114.76%40100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
15St Johns40200002513-82000000235-22020000028-620.25058130093106889966586826666615147662800.00%30100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
Total8414500542929424549428220411613711027426280131315713522550.3272944967904393106889204365868266666261492113215412724014.71%65592.31%6618136445.31%662150543.99%544107350.70%1689101220617001362687
17Werewolves2020000037-41010000023-11010000014-300.00035800931068895565868266666531323511218.18%10100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
18Zombie3020000149-52020000037-41000000112-110.167461010931068897565868266666103338416233.33%40100.00%0618136445.31%662150543.99%544107350.70%1689101220617001362687
_Since Last GM Reset471350221656149-9323114021143261-2924021001022488-64160.170569314911931068891063658682666661518554449071361511.03%21290.48%0618136445.31%662150543.99%544107350.70%1689101220617001362687
_Vs Conference54132802326254155992471001015106604630618013111489553430.39825443168523931068891308658682666661653586949761762614.77%46491.30%6618136445.31%662150543.99%544107350.70%1689101220617001362687
_Vs Division181014021135861-3955010121230-1895901101463115300.833581071652093106889403658682666666292311832057610.53%90100.00%1618136445.31%662150543.99%544107350.70%1689101220617001362687

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8455L129449679020432614921132154143
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8414505429294245
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
428224116137110
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
426281313157135
Derniers 10 Matchs
WLOTWOTL SOWSOL
180001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2724014.71%65592.31%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
6586826666693106889
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
618136445.31%662150543.99%544107350.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1689101220617001362687


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
1 - 2017-10-015Pirates31Diabotins0WSommaire du Match
2 - 2017-10-026Pirates1Leftovers3LSommaire du Match
4 - 2017-10-0417Benchwarmers0Pirates32WSommaire du Match
5 - 2017-10-0526Pirates37Benchwarmers1WSommaire du Match
6 - 2017-10-0634Benchwarmers1Pirates38WSommaire du Match
10 - 2017-10-1047Leftovers2Pirates3WSommaire du Match
11 - 2017-10-1153Pirates37Jardiniers4WSommaire du Match
12 - 2017-10-1259Pirates4Leftovers1WSommaire du Match
14 - 2017-10-1468Pirates1Hooligans2LXSommaire du Match
16 - 2017-10-1678Royaux2Pirates3WXSommaire du Match
18 - 2017-10-1889Pirates2Diabotins1WSommaire du Match
20 - 2017-10-2098Hybrides1Pirates3WSommaire du Match
22 - 2017-10-22108Jardiniers4Pirates3LXXSommaire du Match
25 - 2017-10-25118Diabotins1Pirates4WSommaire du Match
27 - 2017-10-27128Pirates3Leftovers2WXXSommaire du Match
28 - 2017-10-28137Benchwarmers1Pirates2WSommaire du Match
29 - 2017-10-29147Leftovers1Pirates3WSommaire du Match
32 - 2017-11-01156Pirates1Benchwarmers3LSommaire du Match
34 - 2017-11-03166Royaux5Pirates1LSommaire du Match
35 - 2017-11-04171Pirates1Diabotins5LSommaire du Match
37 - 2017-11-06180Pirates1Giants4LSommaire du Match
39 - 2017-11-08191Jardiniers1Pirates0LSommaire du Match
41 - 2017-11-10200Pirates4Diabotins3WSommaire du Match
43 - 2017-11-12204Pirates2Requins1WXSommaire du Match
46 - 2017-11-15215Requins2Pirates3WXSommaire du Match
48 - 2017-11-17228Hybrides3Pirates2LSommaire du Match
49 - 2017-11-18236Pirates3Leftovers4LXSommaire du Match
51 - 2017-11-20245Zombie4Pirates2LSommaire du Match
55 - 2017-11-24259Werewolves3Pirates2LSommaire du Match
56 - 2017-11-25270Requins2Pirates0LSommaire du Match
58 - 2017-11-27279Pirates3Benchwarmers5LSommaire du Match
59 - 2017-11-28285Pirates0Royaux3LSommaire du Match
61 - 2017-11-30295Pirates1Zombie2LXXSommaire du Match
63 - 2017-12-02301St Johns3Pirates2LXXSommaire du Match
65 - 2017-12-04311Giants5Pirates1LSommaire du Match
66 - 2017-12-05319Pirates1Hooligans3LSommaire du Match
69 - 2017-12-08331Requins8Pirates1LSommaire du Match
70 - 2017-12-09338Pirates2Requins3LSommaire du Match
73 - 2017-12-12348Zombie3Pirates1LSommaire du Match
74 - 2017-12-13359Pirates1Werewolves4LSommaire du Match
76 - 2017-12-15367Barracuda3Pirates2LXSommaire du Match
77 - 2017-12-16374Pirates1Hooligans3LSommaire du Match
79 - 2017-12-18382Hybrides2Pirates1LSommaire du Match
81 - 2017-12-20393Pirates1Jardiniers7LSommaire du Match
83 - 2017-12-22403Chevalier2Pirates1LXXSommaire du Match
85 - 2017-12-24413Pirates1St Johns5LSommaire du Match
87 - 2017-12-26421Evil Saints3Pirates1LSommaire du Match
89 - 2017-12-28431Diabotins1Pirates2WXXSommaire du Match
91 - 2017-12-30435Pirates0Jardiniers2LSommaire du Match
93 - 2018-01-01447Pirates1Evil Saints2LXXSommaire du Match
94 - 2018-01-02450Pirates0Hybrides7LSommaire du Match
97 - 2018-01-05463Chevalier4Pirates1LSommaire du Match
99 - 2018-01-07473Barracuda3Pirates2LSommaire du Match
101 - 2018-01-09480Pirates0Chevalier1LSommaire du Match
103 - 2018-01-11491St Johns2Pirates1LXXSommaire du Match
105 - 2018-01-13500Pirates1Royaux3LSommaire du Match
106 - 2018-01-14506Pirates1Hybrides4LSommaire du Match
107 - 2018-01-15517Giants3Pirates1LSommaire du Match
110 - 2018-01-18526Pirates1Caribou3LSommaire du Match
111 - 2018-01-19532Caribou2Pirates3WXSommaire du Match
114 - 2018-01-22543Pirates1Giants5LSommaire du Match
116 - 2018-01-24552Giants1Pirates0LXXSommaire du Match
117 - 2018-01-25558Pirates2Leftovers7LSommaire du Match
119 - 2018-01-27568Pirates1Jardiniers3LSommaire du Match
120 - 2018-01-28576Leftovers4Pirates1LSommaire du Match
122 - 2018-01-30586Royaux1Pirates2WXSommaire du Match
123 - 2018-01-31593Pirates0Royaux2LSommaire du Match
124 - 2018-02-01600Pirates1Diabotins2LXSommaire du Match
127 - 2018-02-04610Caribou3Pirates2LSommaire du Match
128 - 2018-02-05619Pirates1Barracuda3LSommaire du Match
130 - 2018-02-07628Evil Saints3Pirates1LSommaire du Match
131 - 2018-02-08637Pirates1St Johns3LSommaire du Match
132 - 2018-02-09644Pirates1Hooligans2LSommaire du Match
134 - 2018-02-11651Benchwarmers2Pirates1LXXSommaire du Match
136 - 2018-02-13663Diabotins0Pirates1WSommaire du Match
139 - 2018-02-16675Pirates1Requins4LSommaire du Match
140 - 2018-02-17681Casse-Tete3Pirates1LSommaire du Match
143 - 2018-02-20696Benchwarmers4Pirates2LSommaire du Match
146 - 2018-02-23708Hooligans3Pirates1LSommaire du Match
150 - 2018-02-27722Hooligans5Pirates2LSommaire du Match
152 - 2018-03-01729Pirates2Casse-Tete6LSommaire du Match
153 - 2018-03-02732Pirates1Benchwarmers4LSommaire du Match
155 - 2018-03-04744Pirates2Benchwarmers3LXXSommaire du Match
158 - 2018-03-07752Jardiniers4Pirates2LSommaire du Match



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
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,477,515$ 1,094,884$ 1,025,184$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
6,886$ 1,477,515$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 6,886$ 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
20178414500542929424549428220411613711027426280131315713522552944967904393106889204365868266666261492113215412724014.71%65592.31%6618136445.31%662150543.99%544107350.70%1689101220617001362687
Total Saison Régulière8414500542929424549428220411613711027426280131315713522552944967904393106889204365868266666261492113215412724014.71%65592.31%6618136445.31%662150543.99%544107350.70%1689101220617001362687