beholdershellpepitosKingspatriots

 

 


Requins

GP: 73 | W: 51 | L: 19 | OTL: 3 | P: 105
GF: 451 | GA: 210 | PP%: 25.59% | PK%: 82.38%
DG: Karl Freniere | Morale : 50 | Moyenne d'Équipe : 77
Prochain matchs #734 vs Werewolves
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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
1Brendan Perlini0X100.00573568317268837137808673784235050820
2Christian Dvorak0X100.00583473234876837185828172684236050820
3Austin Watson0X100.00864745497758836550798172605752050800
4Ondrej Kase0X100.00462570283761767639848570774134050790
5Connor Brickley0X100.00844259436654836836828065634437050780
6David Kampf0X100.00472367475559856787827962644638050770
7Cedric Paquette0X100.00864353466549606881798158594944050760
8Nicholas Baptiste0X100.00494060396544856835788366634542050760
9Frederik Gauthier0X100.00694060618841766084717842634439050710
10Evgeny Svechnikov0X100.00713752577240786034727758734137050700
11Emerson Etem0XX100.00613970707339835631677053725244050670
12Vince Dunn (R)0X100.00374066435762838633857461644034050810
13Joe Morrow0X100.00684063455660848428827366635042050810
14Scott Harrington0X100.00643872497048828129787266614952050780
15Brendan Guhle0X100.00433364495465727630756971643835050770
16Andy Welinski (R)0X100.00463283566654777030726756654242050730
17Tyler Wotherspoon0X100.00443475607040716931726650645044050690
Rayé
MOYENNE D'ÉQUIPE100.0060376547645479704678776266454005076
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
1Tristan Jarry100.0085927289888890889089714261050880
Rayé
MOYENNE D'ÉQUIPE100.008592728988889088908971426105088
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN454450,000$


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
1Brendan PerliniRequins (COU)LW7394851791155159915441511323222.65%87179124.541518336118313720363839642.58%7614735072.00230002146
2Nicholas BaptisteRequins (COU)RW73586712566661062422237914426.01%19101913.9614173150190000007141.43%703810042.4501010566
3Austin WatsonRequins (COU)LW73466911560231451661132388417519.33%46135818.611012224517722461238158.47%1187629051.6923214354
4Christian DvorakRequins (COU)C733478112958091141178449719.10%70154121.12812203519041014224494366.18%11561735111.4503000373
5David KampfRequins (COU)C63455910430200931152628819117.18%32139522.1481220501820001331267.59%7566429051.4900000337
6Connor BrickleyRequins (COU)C7345539855580140872478012918.22%34121816.69791641183000004348.68%10993824051.6100000243
7Ondrej KaseRequins (COU)LW734649956922024952387114719.33%42110815.180002113481377043.90%413837021.7111000345
8Cedric PaquetteRequins (COU)C73435093709010144632257114219.11%29104414.310223190000172166.89%7316416131.7800101243
9Steven SantiniCousinD68137285107760168118175851017.43%143178526.253161940212281011316200.00%02579010.9500000117
10Joe MorrowRequins (COU)D73106171905801057413160597.63%112172423.62314173822638119352100.00%01154010.8200000112
11Vince DunnRequins (COU)D7310576758420136414155537.09%59143119.6111415281541347235000.00%02949000.9400000011
12Evgeny SvechnikovRequins (COU)RW7321466755108079381655010812.73%19122516.7835831182000002049.28%696811021.0900000001
13Emerson EtemRequins (COU)LW/RW73540456718055289423635.32%1292612.6900001000010048.48%336210000.9700000001
14Brendan GuhleRequins (COU)D6363440443206915812463664.84%151185129.39167322170112151000.00%0670000.4300000000
15Frederik GauthierRequins (COU)C7310253523240653513244827.58%156408.780000121371381072.15%395579001.0900000001
16Scott HarringtonRequins (COU)D73430346514075859241464.35%101143019.60167101530446250100.00%0449000.4800000003
17Andy WelinskiRequins (COU)D7321214666012614130334.88%5097513.360000000001000.00%0133000.2900000000
18Tyler WotherspoonRequins (COU)D730221300288110.00%62213.040000000000000.00%020000.1800000000
Stats d'équipe Total ou en Moyenne128949288913811148924701462147931291082186915.72%10272268917.607414321746622782847751152591491758.81%52296475792361.22511325444053
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
1Tristan JarryRequins (COU)73511930.9152.8243876220624321283500.8899730791
Stats d'équipe Total ou en Moyenne73511930.9152.8243876220624321283500.8899730791


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Andy WelinskiRequins (COU)D251993-04-27Yes206 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm690,000$0$0$NoLien
Austin WatsonRequins (COU)LW261992-01-13No204 Lbs193 CMNoNoNo3Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Brendan GuhleRequins (COU)D211997-07-29No196 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien
Brendan PerliniRequins (COU)LW221996-04-27No211 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,363,333$0$0$NoLien / Lien NHL
Cedric PaquetteRequins (COU)C251993-08-13No198 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm812,500$0$0$NoLien / Lien NHL
Christian DvorakRequins (COU)C221996-02-02No195 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien / Lien NHL
Connor BrickleyRequins (COU)C261992-02-25No203 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
David KampfRequins (COU)C231995-01-12No195 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Emerson EtemRequins (COU)LW/RW261992-06-16No212 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm775,000$0$0$NoLien / Lien NHL
Evgeny SvechnikovRequins (COU)RW211996-10-31No212 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien
Frederik GauthierRequins (COU)C231995-04-26No232 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm863,333$0$0$NoLien
Joe MorrowRequins (COU)D251992-12-09No196 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Nicholas BaptisteRequins (COU)RW231995-08-04No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm878,333$0$0$NoLien
Ondrej KaseRequins (COU)LW221995-11-08No185 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm706,667$0$0$NoLien / Lien NHL
Scott HarringtonRequins (COU)D251993-03-10No207 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm632,000$0$0$NoLien / Lien NHL
Tristan JarryRequins (COU)G231995-04-29No194 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm905,000$0$0$NoLien / Lien NHL
Tyler WotherspoonRequins (COU)D251993-03-12No207 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Vince DunnRequins (COU)D211996-10-29Yes203 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1823.56203 Lbs188 CM1.50880,713$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniChristian DvorakNicholas Baptiste40122
2Austin WatsonConnor BrickleyEvgeny Svechnikov30122
3Ondrej KaseCedric PaquetteEmerson Etem20122
4Frederik GauthierBrendan Perlini10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow40122
2Vince DunnScott Harrington30122
3Andy Welinski20122
4Tyler Wotherspoon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniChristian DvorakNicholas Baptiste60122
2Austin WatsonConnor BrickleyEvgeny Svechnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow60122
2Vince DunnScott Harrington40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brendan PerliniChristian Dvorak60122
2Austin WatsonOndrej Kase40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow60122
2Vince DunnScott Harrington40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brendan Perlini60122Joe Morrow60122
2Christian Dvorak40122Vince DunnScott Harrington40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brendan PerliniChristian Dvorak60122
2Austin WatsonOndrej Kase40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe Morrow60122
2Vince DunnScott Harrington40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniChristian DvorakNicholas BaptisteJoe Morrow
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniChristian DvorakNicholas BaptisteJoe Morrow
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cedric Paquette, , Frederik GauthierCedric Paquette, Frederik Gauthier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andy Welinski, , Tyler WotherspoonAndy Welinski, Tyler Wotherspoon
Tirs de Pénalité
Brendan Perlini, Christian Dvorak, Austin Watson, Ondrej Kase, Connor Brickley
Gardien
#1 : Tristan Jarry, #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
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
1Barbarians422000001115-42200000062420200000513-840.5001119300116715012881349989238322712536446510110.00%22481.82%0949164157.83%901168353.54%724116662.09%1726112315695781110567
2Barracuda541000003092133000000244202110000065180.8003054840016715012881929989238322713554469212650.00%23291.30%1949164157.83%901168353.54%724116662.09%1726112315695781110567
3Benchwarmers53100010191183210000010732100001094580.8001934530016715012881749989238322717969789217529.41%29486.21%1949164157.83%901168353.54%724116662.09%1726112315695781110567
4Caribou43100000231582110000014952200000096360.7502341640016715012881749989238322713343386716637.50%19573.68%2949164157.83%901168353.54%724116662.09%1726112315695781110567
5Casse-Tete422000001114-3220000007522020000049-540.5001122330016715012881549989238322712951817423730.43%25484.00%0949164157.83%901168353.54%724116662.09%1726112315695781110567
6Chevalier320000101037220000008261000001021161.000101626001671501288111998923832279325306210440.00%15193.33%1949164157.83%901168353.54%724116662.09%1726112315695781110567
7Diabotins5400010024121232000100127522000000125790.9002442660016715012882159989238322713751489115320.00%24770.83%1949164157.83%901168353.54%724116662.09%1726112315695781110567
8Evil Saints402020001415-1201010007702010100078-140.500142539001671501288159998923832271614950737114.29%25388.00%0949164157.83%901168353.54%724116662.09%1726112315695781110567
9Giants412000101115-42010001058-32110000067-140.5001117280016715012881519989238322715649446916318.75%17382.35%0949164157.83%901168353.54%724116662.09%1726112315695781110567
10Hooligans5410000024177220000001165321000001311280.8002444680016715012881849989238322718270918514214.29%38781.58%5949164157.83%901168353.54%724116662.09%1726112315695781110567
11Hybrides321000001183110000005322110000065140.667112031011671501288110998923832279645204712433.33%10190.00%0949164157.83%901168353.54%724116662.09%1726112315695781110567
12Jardiniers522001001920-121000100761312000001214-250.50019335200167150128818299892383227169544310336719.44%19478.95%0949164157.83%901168353.54%724116662.09%1726112315695781110567
13Leftovers2200000013670000000000022000000136741.00013243700167150128869998923832277227213916637.50%8275.00%0949164157.83%901168353.54%724116662.09%1726112315695781110567
14Pirates42101000161332200000010552010100068-260.750162743001671501288129998923832271344562826233.33%31680.65%1949164157.83%901168353.54%724116662.09%1726112315695781110567
15Remparts4400000015841542200000078276220000008027881.0001582824400016715012881779989238322773265777100.00%22386.36%10949164157.83%901168353.54%724116662.09%1726112315695781110567
16Royaux412001001516-12100010011742020000049-530.3751524390016715012881389989238322714146566813215.38%20575.00%0949164157.83%901168353.54%724116662.09%1726112315695781110567
17St Johns4400000025718220000001431122000000114781.000254368001671501288169998923832271786748507228.57%24579.17%5949164157.83%901168353.54%724116662.09%1726112315695781110567
Total7345190333045121024136274013102438915437181502020208121871050.7194518011252021671501288277099892383227243685989013182546525.59%3866882.38%28949164157.83%901168353.54%724116662.09%1726112315695781110567
19Werewolves2110000034-1000000000002110000034-120.50036900167150128864998923832277925123116212.50%6183.33%0949164157.83%901168353.54%724116662.09%1726112315695781110567
20Zombie2200000014682200000014680000000000041.0001428420016715012888499892383227642721517228.57%9188.89%1949164157.83%901168353.54%724116662.09%1726112315695781110567
_Since Last GM Reset7345190333045121024136274013102438915437181502020208121871050.7194518011252021671501288277099892383227243685989013182546525.59%3866882.38%28949164157.83%901168353.54%724116662.09%1726112315695781110567
_Vs Conference3826701220309105204181320021014744103201350101016261101600.78930954685500167150128814509989238322712804584926881283023.44%2124180.66%23949164157.83%901168353.54%724116662.09%1726112315695781110567
_Vs Division16114012105650687100200321814843010102432-8280.875569815400167150128857699892383227525175216321752026.67%901583.33%2949164157.83%901168353.54%724116662.09%1726112315695781110567

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
73105W6451801125227702436859890131802
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7345193330451210
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36274131024389
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3718152020208121
Derniers 10 Matchs
WLOTWOTL SOWSOL
800200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2546525.59%3866882.38%28
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
998923832271671501288
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
949164157.83%901168353.54%724116662.09%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1726112315695781110567


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 - 2018-10-012Benchwarmers1Requins6WSommaire du Match
3 - 2018-10-0315Requins3Hooligans6LSommaire du Match
5 - 2018-10-0524Requins2Chevalier1WXXSommaire du Match
7 - 2018-10-0732Requins4Jardiniers5LSommaire du Match
8 - 2018-10-0837Barracuda1Requins9WSommaire du Match
10 - 2018-10-1043Requins1Pirates4LSommaire du Match
12 - 2018-10-1258Diabotins1Requins3WSommaire du Match
15 - 2018-10-1572Remparts1Requins39WSommaire du Match
17 - 2018-10-1782Requins4Barbarians9LSommaire du Match
18 - 2018-10-1888Requins4Giants2WSommaire du Match
20 - 2018-10-2099Giants3Requins4WXXSommaire du Match
23 - 2018-10-23112Pirates4Requins5WSommaire du Match
25 - 2018-10-25125Requins3Jardiniers6LSommaire du Match
26 - 2018-10-26133Requins2Werewolves1WSommaire du Match
28 - 2018-10-28140Caribou5Requins11WSommaire du Match
30 - 2018-10-30151Requins38Remparts1WSommaire du Match
31 - 2018-10-31160Barbarians2Requins3WSommaire du Match
33 - 2018-11-02171Requins7Leftovers1WSommaire du Match
35 - 2018-11-04180Pirates1Requins5WSommaire du Match
38 - 2018-11-07191Requins3Hybrides0WSommaire du Match
39 - 2018-11-08198Evil Saints2Requins3WXSommaire du Match
42 - 2018-11-11213Chevalier1Requins6WSommaire du Match
44 - 2018-11-13221Requins1Barbarians4LSommaire du Match
46 - 2018-11-15231Requins3Hybrides5LSommaire du Match
47 - 2018-11-16237Evil Saints5Requins4LSommaire du Match
50 - 2018-11-19248Requins3Benchwarmers2WXXSommaire du Match
51 - 2018-11-20257Barbarians0Requins3WSommaire du Match
53 - 2018-11-22268Requins42Remparts1WSommaire du Match
54 - 2018-11-23278Giants5Requins1LSommaire du Match
58 - 2018-11-27291Hooligans4Requins6WSommaire du Match
59 - 2018-11-28302Requins6Leftovers5WSommaire du Match
61 - 2018-11-30307Requins5Jardiniers3WSommaire du Match
63 - 2018-12-02317Royaux2Requins7WSommaire du Match
64 - 2018-12-03324Requins5Caribou3WSommaire du Match
67 - 2018-12-06336Royaux5Requins4LXSommaire du Match
68 - 2018-12-07348Requins6Benchwarmers2WSommaire du Match
71 - 2018-12-10358Jardiniers2Requins4WSommaire du Match
73 - 2018-12-12369Requins2Giants5LSommaire du Match
74 - 2018-12-13378Chevalier1Requins2WSommaire du Match
78 - 2018-12-17392Barracuda1Requins4WSommaire du Match
80 - 2018-12-19400Requins2Barracuda3LSommaire du Match
82 - 2018-12-21410Requins4Caribou3WSommaire du Match
83 - 2018-12-22418Remparts1Requins39WSommaire du Match
85 - 2018-12-24430Requins3Royaux6LSommaire du Match
87 - 2018-12-26436Zombie3Requins10WSommaire du Match
89 - 2018-12-28449Requins1Royaux3LSommaire du Match
90 - 2018-12-29456Requins5Hooligans3WSommaire du Match
91 - 2018-12-30460Casse-Tete3Requins4WSommaire du Match
94 - 2019-01-02477Casse-Tete2Requins3WSommaire du Match
95 - 2019-01-03489Requins1Werewolves3LSommaire du Match
97 - 2019-01-05494Caribou4Requins3LSommaire du Match
100 - 2019-01-08509St Johns1Requins8WSommaire du Match
102 - 2019-01-10521Requins4Barracuda2WSommaire du Match
103 - 2019-01-11531Benchwarmers4Requins0LSommaire du Match
105 - 2019-01-13541Requins2Evil Saints4LSommaire du Match
106 - 2019-01-14548Requins2Casse-Tete4LSommaire du Match
108 - 2019-01-16557St Johns2Requins6WSommaire du Match
110 - 2019-01-18570Requins5Pirates4WXSommaire du Match
112 - 2019-01-20576Zombie3Requins4WSommaire du Match
115 - 2019-01-23591Requins2Casse-Tete5LSommaire du Match
116 - 2019-01-24597Diabotins2Requins6WSommaire du Match
119 - 2019-01-27612Benchwarmers2Requins4WSommaire du Match
120 - 2019-01-28618Requins5St Johns2WSommaire du Match
122 - 2019-01-30628Requins8Diabotins3WSommaire du Match
123 - 2019-01-31637Diabotins4Requins3LXSommaire du Match
125 - 2019-02-02648Requins4Diabotins2WSommaire du Match
127 - 2019-02-04656Jardiniers4Requins3LXSommaire du Match
129 - 2019-02-06668Requins5Hooligans2WSommaire du Match
131 - 2019-02-08675Hooligans2Requins5WSommaire du Match
134 - 2019-02-11692Barracuda2Requins11WSommaire du Match
135 - 2019-02-12700Requins6St Johns2WSommaire du Match
138 - 2019-02-15711Hybrides3Requins5WSommaire du Match
142 - 2019-02-19727Requins5Evil Saints4WXSommaire du Match
144 - 2019-02-21734Werewolves-Requins-
146 - 2019-02-23748Hybrides-Requins-
148 - 2019-02-25759Requins-Chevalier-
151 - 2019-02-28766Werewolves-Requins-
153 - 2019-03-02779Requins-Zombie-
154 - 2019-03-03788Requins-Pirates-
156 - 2019-03-05795Leftovers-Requins-
159 - 2019-03-08808Requins-Zombie-
161 - 2019-03-10818Leftovers-Requins-



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
5 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,382,569$ 1,585,284$ 1,413,217$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
9,786$ 1,382,569$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 19 9,786$ 185,934$




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
201684363104481458288170422214020312961361604214170245016215210724587931251311641271551528081005917855642374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201784393301731394436-42422313013111971781942162000420197258-61783946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
2017841554024542582391942112201233155112434243201221103127-24302584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
20187345190333045121024136274013102438915437181502020208121871054518011252021671501288277099892383227243685989013182546525.59%3866882.38%28949164157.83%901168353.54%724116662.09%1726112315695781110567
Total Saison Régulière3251351370101819615611173388162835305885891515376163528405101116706581228515612711427251255549947839105823636348133591919756349136436005111728525.51%148132078.39%723712664555.86%3535666853.01%2801495956.48%762949867126260949222464
Séries
2016844000002933-44220000013112422000001622-682951800061211025568909702667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
2017945000002638-12532000001620-4413000001018-882645710012752315109113885271959914648612.50%421271.43%212321656.94%8418545.41%7212458.06%2211502026912360
Total Séries22913000006183-221165000003234-21138000002949-2018611051660018231736892102402336722235305353821315.85%962376.04%524645953.59%24850748.92%16630454.61%501338525169303141