Citadelles

GP: 52 | W: 26 | L: 16 | T: 8 | P: 62
GF: 179 | GA: 157 | PP%: 19.29% | PK%: 84.96%
DG: Jonathan Samuel | Morale : 56 | Moyenne d'Équipe : 65
Prochain matchs #378 vs Wolves
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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 SPÂgeContratSalaire
1Greg JohnsonX100.005241757470717077657974756628288271670231150,000$
2Steve HeinzeX97.006849737074717075647574776636368254670233550,000$
3Bob CorkumX99.006851726479757374627271786340496166670263430,000$
4Valery ZelepukinX100.005849657575767573697576707431436868670251600,000$
5Ed WardX100.007056647474626271617472806429367569660241368,000$
6Bob BergX100.007469536976707069637166786234477670650241150,000$
7Louie DebruskX100.008678486478697066596959785436498247640232250,000$
8Oleg PetrovX100.005548717666666870677268666529378945640223350,000$
9Steve Konowalchuk (R)X100.007155667173686868627269736432379557640212200,000$
10Bruce Gardiner (R)X100.006549707073686967626760705828289662620211150,000$
11Ted Drury (R)X100.006452716672666865616762746036298829620221290,000$
12Dmitri MironovX100.006451746278737470667465846255494553680282680,000$
13Darrin ShannonX100.005747787076697076658172796034367569660243425,000$
14Mike LalorX100.006450666175747465596752804853603469660303400,000$
15Jon Klemm (A)X100.007152716877737271627157795040408269660233275,000$
16Frantisek MusilX100.007152736178727360556349804542454069640292325,000$
17Bret Hedican (R)X100.005946766976727363627363726030348269630231650,000$
Rayé
1Stewert Gavin (C)X98.00695667627067647564787665687664964670332425,000$
2Peter DourisX88.916046806675687065637468766439395359640273375,000$
3Keith OsborneX100.006453647171697066627062725937347519630243450,000$
4Andrei Nikolishin (R)X100.004540707270666572637562705630299619620203425,000$
5Derek Plante (R)X100.005444727170616364626863696240328919610221200,000$
6Jonas Hoglund (R)X100.005241816878666865596563566238409520600211425,000$
7Boris Mironov (R)X100.005949716779697071667149724730379720630213450,000$
8Alexander GodynyukX100.006647786477697158576447734536438220620231200,000$
9Dan Lambert (R)X100.006655636968686964606746744433368120620231140,000$
MOYENNE D'ÉQUIPE99.34645170687469706862716374593740745064
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
1Pat Jablonski100.00747885828269808176797449506049730
2Corey Hirsch100.00717475727369758375716933478859680
Rayé
1Mike Torchia100.00576489867963767471726637379020670
MOYENNE D'ÉQUIPE100.0067728380786777797474704045794369
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien68787168748089CAN33295,000$


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
1Darrin ShannonCitadelles (PIT)D52123244-14006693115287110.43%51122223.5251621802150001189510.00%000000.7200000320
2Bob CorkumCitadelles (PIT)C501429436180681231342610210.45%1395219.0661420462100111921247.81%109400000.9000000412
3Valery ZelepukinCitadelles (PIT)LW52182543-120068101124399714.52%8109421.04712193422800041552246.98%43000000.7900000224
4Greg JohnsonCitadelles (PIT)C49222042-74014110155539914.19%1095919.5788164020900041071145.81%122900000.8800000422
5Steve HeinzeCitadelles (PIT)RW52171936-235575881475110411.56%11116222.3646102922600032081449.51%20600100.6200010332
6Ed WardCitadelles (PIT)RW5216203672405772110337314.55%1072713.990333250000352046.97%6600000.9900000052
7Dmitri MironovCitadelles (PIT)D4972835-371574487921478.86%67115923.6651015522030000171000.00%000000.6000010012
8Jon KlemmCitadelles (PIT)D5262430-9500102577630507.89%53114121.9541014522151011170310.00%000000.5300000041
9Bob BergCitadelles (PIT)LW5291827-113751086010832808.33%683516.07437181300000440047.54%6100000.6500001212
10Stewert GavinCitadelles (PIT)RW46121426-12756762103298311.65%387719.073710261840000574048.24%19900000.5900001201
11Mike LalorCitadelles (PIT)D5261925-942075506823328.82%61117822.664913442210111179100.00%000000.4200000102
12Louie DebruskCitadelles (PIT)LW45131023393151294476184017.11%1161513.6823513640001420147.92%4800000.7500201022
13Bruce GardinerCitadelles (PIT)C486162202021806510419.23%360112.53000020000242046.58%59900100.7300000201
14Frantisek MusilCitadelles (PIT)D524172111680106323052313.33%4878115.03101826000026110.00%000000.5400000310
15Bret HedicanCitadelles (PIT)D5101919172603445217180.00%3879015.51000112000076000.00%000000.4800000011
16Peter DourisCitadelles (PIT)RW52741196052353102713.21%43176.110002100000170043.48%4600000.6900000002
17Steve KonowalchukCitadelles (PIT)LW5044811160462935112811.43%33617.24000010002140141.67%2400000.4400000003
18Ted DruryCitadelles (PIT)C32347128012192411512.50%02046.3800000000001039.32%20600000.6900000010
19Oleg PetrovCitadelles (PIT)RW30123-5001793711.11%1933.11011212000001070.00%2000000.6400000000
20Andrei NikolishinCitadelles (PIT)LW6123-22014113129.09%011018.411014190000171025.00%800000.5400000000
21Boris MironovCitadelles (PIT)D4022320360000.00%56215.510000000006000.00%000000.6400000000
22Derek PlanteCitadelles (PIT)C5112-2001974414.29%19418.88011216000030044.95%10900000.4200000000
23Keith OsborneCitadelles (PIT)RW3000000000000.00%000.210000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne9361793295082659135113311621550437105311.55%4071534416.39541031574562235123181644261446.58%434500200.6600223262629
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
1Pat JablonskiCitadelles (PIT)4021860.8853.002221411119650010.00003814201
2Corey HirschCitadelles (PIT)1851020.8812.8594700453770100.00001438010
Stats d'équipe Total ou en Moyenne58261880.8842.9531694115613420110.00005252211


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
Alexander GodynyukCitadelles (PIT)D231997-02-09 9:08:37 PMNo207 Lbs6 ft1NoNoNo1Pro & Farm200,000$20,000$7,353$No
Andrei NikolishinCitadelles (PIT)LW202000-02-09 9:08:37 PMYes187 Lbs5 ft11NoNoNo3Pro & Farm425,000$42,500$15,625$No425,000$425,000$
Bob BergCitadelles (PIT)LW241996-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm150,000$15,000$5,515$No
Bob CorkumCitadelles (PIT)C261994-02-09 9:08:37 PMNo222 Lbs6 ft0NoNoNo3Pro & Farm430,000$43,000$15,809$No430,000$430,000$
Boris MironovCitadelles (PIT)D211999-02-09 9:08:37 PMYes220 Lbs6 ft3NoNoNo3Pro & Farm450,000$45,000$16,544$No450,000$450,000$
Bret HedicanCitadelles (PIT)D231997-02-09 9:08:37 PMYes205 Lbs6 ft2NoNoNo1Pro & Farm650,000$65,000$23,897$No
Bruce GardinerCitadelles (PIT)C211999-02-09 9:08:37 PMYes193 Lbs6 ft1NoNoNo1Pro & Farm150,000$15,000$5,515$No
Corey HirschCitadelles (PIT)G221998-02-09 9:08:37 PMNo160 Lbs5 ft10NoNoNo2Pro & Farm525,000$52,500$19,301$No525,000$
Dan LambertCitadelles (PIT)D231997-02-09 9:08:37 PMYes177 Lbs5 ft8NoNoNo1Pro & Farm140,000$14,000$5,147$No
Darrin ShannonCitadelles (PIT)D241996-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo3Pro & Farm425,000$42,500$15,625$No425,000$425,000$
Derek PlanteCitadelles (PIT)C221998-02-09 9:08:37 PMYes181 Lbs5 ft11NoNoNo1Pro & Farm200,000$20,000$7,353$No
Dmitri MironovCitadelles (PIT)D281992-02-09 9:08:37 PMNo215 Lbs6 ft3NoNoNo2Pro & Farm680,000$68,000$25,000$No680,000$
Ed WardCitadelles (PIT)RW241996-02-09 9:08:37 PMNo190 Lbs6 ft3NoNoNo1Pro & Farm368,000$36,800$13,529$No
Frantisek MusilCitadelles (PIT)D291991-02-09 9:08:37 PMNo215 Lbs6 ft3NoNoNo2Pro & Farm325,000$32,500$11,949$No325,000$
Greg JohnsonCitadelles (PIT)C231997-02-09 9:08:37 PMNo184 Lbs5 ft10NoNoNo1Pro & Farm150,000$15,000$5,515$No
Jon KlemmCitadelles (PIT)D231997-02-09 9:08:37 PMNo203 Lbs6 ft3NoNoNo3Pro & Farm275,000$27,500$10,110$No275,000$275,000$
Jonas HoglundCitadelles (PIT)LW211999-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo1Pro & Farm425,000$42,500$15,625$No
Keith OsborneCitadelles (PIT)RW241996-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo3Pro & Farm450,000$45,000$16,544$No450,000$450,000$
Louie DebruskCitadelles (PIT)LW231997-02-09 9:08:37 PMNo225 Lbs6 ft1NoNoNo2Pro & Farm250,000$25,000$9,191$No250,000$
Mike LalorCitadelles (PIT)D301990-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo3Pro & Farm400,000$40,000$14,706$No400,000$400,000$
Mike TorchiaCitadelles (PIT)G221998-02-09 9:08:37 PMNo225 Lbs5 ft11NoNoNo2Pro & Farm200,000$20,000$7,353$No200,000$
Oleg PetrovCitadelles (PIT)RW221998-02-09 9:08:37 PMNo168 Lbs5 ft9NoNoNo3Pro & Farm350,000$35,000$12,868$No350,000$350,000$
Pat JablonskiCitadelles (PIT)G261994-02-09 9:08:37 PMNo187 Lbs6 ft2NoNoNo2Pro & Farm835,000$83,500$30,699$No835,000$
Peter Douris (Sur la Masse Salariale)Citadelles (PIT)RW271993-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo3Pro & Farm375,000$37,500$13,787$No375,000$375,000$
Steve HeinzeCitadelles (PIT)RW231997-02-09 9:08:37 PMNo202 Lbs5 ft11NoNoNo3Pro & Farm550,000$55,000$20,221$No550,000$550,000$
Steve KonowalchukCitadelles (PIT)LW211999-02-09 9:08:37 PMYes195 Lbs6 ft1NoNoNo2Pro & Farm200,000$20,000$7,353$No200,000$
Stewert GavinCitadelles (PIT)RW331987-02-09 9:08:37 PMNo180 Lbs6 ft0NoNoNo2Pro & Farm425,000$42,500$15,625$No425,000$
Ted DruryCitadelles (PIT)C221998-02-09 9:08:37 PMYes208 Lbs6 ft0NoNoNo1Pro & Farm290,000$29,000$10,662$No
Valery ZelepukinCitadelles (PIT)LW251995-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm600,000$60,000$22,059$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.97198 Lbs6 ft11.97375,621$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Valery ZelepukinGreg JohnsonSteve Heinze35122
2Bob BergBob CorkumEd Ward30122
3Steve KonowalchukTed Drury20122
4Louie DebruskBruce GardinerOleg Petrov15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitri MironovMike Lalor35122
2Darrin ShannonJon Klemm30122
3Frantisek MusilBret Hedican20122
4Dmitri MironovMike Lalor15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Valery ZelepukinGreg JohnsonSteve Heinze60122
2Bob BergBob CorkumEd Ward40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitri MironovMike Lalor60122
2Darrin ShannonJon Klemm40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Valery ZelepukinSteve Heinze60122
2Greg JohnsonBob Corkum40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitri MironovMike Lalor60122
2Darrin ShannonJon Klemm40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Valery Zelepukin60122Dmitri MironovMike Lalor60122
2Steve Heinze40122Darrin ShannonJon Klemm40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Valery ZelepukinSteve Heinze60122
2Greg JohnsonBob Corkum40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dmitri MironovMike Lalor60122
2Darrin ShannonJon Klemm40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Valery ZelepukinGreg JohnsonSteve HeinzeDmitri MironovMike Lalor
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Valery ZelepukinGreg JohnsonSteve HeinzeDmitri MironovMike Lalor
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Oleg Petrov, Steve Konowalchuk, Oleg PetrovSteve Konowalchuk
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Frantisek Musil, Bret Hedican, Darrin ShannonFrantisek MusilBret Hedican, Darrin Shannon
Tirs de Pénalité
Valery Zelepukin, Steve Heinze, Greg Johnson, Bob Corkum, Ed Ward
Gardien
#1 : Pat Jablonski, #2 : Corey Hirsch


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
1Ailes Rouges3210000010731010000013-22200000094540.66710162600625659291511492523247424205815320.00%9188.89%0834182545.70%797166647.84%39385446.02%13018821188409684348
2As522100001717021100000761311100001011-150.5001731481062565921625114925232412136381044449.09%19478.95%0834182545.70%797166647.84%39385446.02%13018821188409684348
3Banshees602211001822-4401111001516-12011000036-350.417183351006256592164511492523241563611314436411.11%46784.78%0834182545.70%797166647.84%39385446.02%13018821188409684348
4Canadiens21100000541211000005410000000000020.5005101500625659255511492523245010185110220.00%8187.50%0834182545.70%797166647.84%39385446.02%13018821188409684348
5Chiefs220000001147110000004131100000073441.00011223300625659258511492523244012344215640.00%60100.00%0834182545.70%797166647.84%39385446.02%13018821188409684348
6Croque-Morts10001000541100010005410000000000021.0005914006256592445114925232424104355240.00%2150.00%0834182545.70%797166647.84%39385446.02%13018821188409684348
7Harvard431000001917232100000131301100000064260.7501934530062565921265114925232411342448524520.83%21385.71%0834182545.70%797166647.84%39385446.02%13018821188409684348
8Isotopes8341000025250421100001495413000001116-570.43825446900625659226851149252324201608517448612.50%33390.91%0834182545.70%797166647.84%39385446.02%13018821188409684348
9Pacifiques de la route3300000013581100000030322000000105561.0001325380162565928051149252324813132479333.33%150100.00%0834182545.70%797166647.84%39385446.02%13018821188409684348
10Riverman642000002017343100000131122110000076180.66720395900625659217651149252324138426112928725.00%26773.08%0834182545.70%797166647.84%39385446.02%13018821188409684348
11Snipers411200001212000000000000411200001212040.5001221330062565921125114925232410830589614321.43%29389.66%0834182545.70%797166647.84%39385446.02%13018821188409684348
12Spoonman's622101001718-131200000710-331010100108260.50017314800625659215651149252324173517113324625.00%26676.92%0834182545.70%797166647.84%39385446.02%13018821188409684348
Total522416822001791572227129321009080102512750100897712620.596179329508116256592155051149252324134340759511332805419.29%2463784.96%1834182545.70%797166647.84%39385446.02%13018821188409684348
13Wolves21010000752100100003301100000042230.750714210062565925851149252324642317358337.50%6183.33%1834182545.70%797166647.84%39385446.02%13018821188409684348
_Since Last GM Reset5232160220017915722271293210090801025207-30100897712700.673179329508116256592155051149252324134340759511332805419.29%2463784.96%1834182545.70%797166647.84%39385446.02%13018821188409684348
_Vs Conference2815100120095905177621100585351184-2010037370340.60795174269006256592827511492523247332113656291572918.47%1402085.71%0834182545.70%797166647.84%39385446.02%13018821188409684348
_Vs Division1466011004347-48222110029254644-200001422-8150.53643771200062565924325114925232435796198318841011.90%791087.34%0834182545.70%797166647.84%39385446.02%13018821188409684348

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5262W117932950815501343407595113311
Tous les Matchs
GPWLOTWOTL TGFGA
522416228179157
Matchs locaux
GPWLOTWOTL TGFGA
271292139080
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
251270158977
Derniers 10 Matchs
WLOTWOTL T
42103
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2805419.29%2463784.96%1
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
511492523246256592
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
834182545.70%797166647.84%39385446.02%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13018821188409684348


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 - 2020-09-212Banshees5Citadelles5TXSommaire du Match
3 - 2020-09-2313Citadelles2Snipers2TXSommaire du Match
4 - 2020-09-2417Harvard3Citadelles6WSommaire du Match
7 - 2020-09-2732Banshees4Citadelles3LSommaire du Match
8 - 2020-09-2839Citadelles2Banshees5LSommaire du Match
9 - 2020-09-2943Citadelles7Chiefs3WSommaire du Match
10 - 2020-09-3050Isotopes2Citadelles4WSommaire du Match
12 - 2020-10-0259Citadelles4Isotopes3WSommaire du Match
14 - 2020-10-0465Riverman1Citadelles3WSommaire du Match
16 - 2020-10-0673Riverman6Citadelles4LSommaire du Match
18 - 2020-10-0881Spoonman's5Citadelles3LSommaire du Match
20 - 2020-10-1087Citadelles2Isotopes4LSommaire du Match
22 - 2020-10-1294Citadelles1Spoonman's2LXSommaire du Match
24 - 2020-10-14101Isotopes2Citadelles7WSommaire du Match
26 - 2020-10-16109Spoonman's3Citadelles1LSommaire du Match
28 - 2020-10-18116Citadelles3Spoonman's3TXSommaire du Match
30 - 2020-10-20122Citadelles3Riverman4LSommaire du Match
32 - 2020-10-22129Isotopes1Citadelles1TXSommaire du Match
34 - 2020-10-24137Citadelles1Isotopes3LSommaire du Match
36 - 2020-10-26143Spoonman's2Citadelles3WSommaire du Match
38 - 2020-10-28150Citadelles4Riverman2WSommaire du Match
40 - 2020-10-30157Isotopes4Citadelles2LSommaire du Match
42 - 2020-11-01163Citadelles4Ailes Rouges1WSommaire du Match
43 - 2020-11-02170Banshees3Citadelles4WXSommaire du Match
45 - 2020-11-04178Citadelles4Isotopes6LSommaire du Match
47 - 2020-11-06185Riverman3Citadelles4WSommaire du Match
48 - 2020-11-07195Citadelles5Ailes Rouges3WSommaire du Match
49 - 2020-11-08199Riverman1Citadelles2WSommaire du Match
52 - 2020-11-11208Citadelles1Snipers3LSommaire du Match
53 - 2020-11-12214Pacifiques de la route0Citadelles3WSommaire du Match
55 - 2020-11-14222Citadelles5Pacifiques de la route4WSommaire du Match
56 - 2020-11-15228Chiefs1Citadelles4WSommaire du Match
57 - 2020-11-16234Citadelles6Spoonman's3WSommaire du Match
58 - 2020-11-17241As3Citadelles5WSommaire du Match
61 - 2020-11-20250Citadelles6Harvard4WSommaire du Match
62 - 2020-11-21255As3Citadelles2LSommaire du Match
64 - 2020-11-23264Citadelles3As3TXSommaire du Match
65 - 2020-11-24270Ailes Rouges3Citadelles1LSommaire du Match
67 - 2020-11-26277Citadelles4As3WSommaire du Match
68 - 2020-11-27284Banshees4Citadelles3LXSommaire du Match
70 - 2020-11-29292Citadelles4Wolves2WSommaire du Match
71 - 2020-11-30297Harvard8Citadelles4LSommaire du Match
73 - 2020-12-02309Croque-Morts4Citadelles5WXSommaire du Match
74 - 2020-12-03313Citadelles5Pacifiques de la route1WSommaire du Match
75 - 2020-12-04320Citadelles5Snipers3WSommaire du Match
76 - 2020-12-05326Canadiens3Citadelles1LSommaire du Match
78 - 2020-12-07333Citadelles4Snipers4TXSommaire du Match
79 - 2020-12-08339Canadiens1Citadelles4WSommaire du Match
80 - 2020-12-09348Citadelles3As5LSommaire du Match
82 - 2020-12-11354Wolves3Citadelles3TXSommaire du Match
84 - 2020-12-13361Citadelles1Banshees1TXSommaire du Match
86 - 2020-12-15367Harvard2Citadelles3WSommaire du Match
88 - 2020-12-17378Wolves-Citadelles-
90 - 2020-12-19382Citadelles-Chiefs-
92 - 2020-12-21389Citadelles-Banshees-
94 - 2020-12-23396Snipers-Citadelles-
97 - 2020-12-26407Wolves-Citadelles-
98 - 2020-12-27410Citadelles-Chiefs-
101 - 2020-12-30422Pacifiques de la route-Citadelles-
103 - 2021-01-01428Citadelles-Wolves-
104 - 2021-01-02435Snipers-Citadelles-
105 - 2021-01-03441Citadelles-Croque-Morts-
108 - 2021-01-06449Citadelles-Banshees-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
109 - 2021-01-07453Ailes Rouges-Citadelles-
111 - 2021-01-09463Canadiens-Citadelles-
112 - 2021-01-10470Citadelles-Ailes Rouges-
114 - 2021-01-12478Chiefs-Citadelles-
116 - 2021-01-14488Citadelles-Snipers-
117 - 2021-01-15493Snipers-Citadelles-
118 - 2021-01-16499Citadelles-Croque-Morts-
119 - 2021-01-17505Croque-Morts-Citadelles-
120 - 2021-01-18510Citadelles-Pacifiques de la route-
122 - 2021-01-20520Banshees-Citadelles-
124 - 2021-01-22532Citadelles-Harvard-
125 - 2021-01-23534Croque-Morts-Citadelles-
127 - 2021-01-25544Citadelles-Chiefs-
128 - 2021-01-26549Harvard-Citadelles-
129 - 2021-01-27551Citadelles-Canadiens-
131 - 2021-01-29560Citadelles-Chiefs-
132 - 2021-01-30561Citadelles-Canadiens-
133 - 2021-01-31565As-Citadelles-
134 - 2021-02-01568Citadelles-Wolves-



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
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
741,472$ 1,051,800$ 1,051,800$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,051,800$ 741,472$ 28 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 50 8,432$ 421,600$




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