Connexion

Requins
GP: 30 | W: 27 | L: 3 | OTL: 0 | P: 54
GF: 429 | GA: 77 | PP%: 40.32% | PK%: 87.74%
DG: Karl Freniere | Morale : 50 | Moyenne d’équipe : 65
Prochains matchs #246 vs Hybrides
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Centre de jeu
Requins
27-3-0, 54pts
43
FINAL
1 Hooligans
7-23-0, 14pts
Team Stats
W23SéquenceL8
13-2-0Fiche domicile4-11-0
14-1-0Fiche domicile3-12-0
10-0-0Derniers 10 matchs1-9-0
14.30Buts par match 6.77
2.57Buts contre par match 33.20
40.32%Pourcentage en avantage numérique1.27%
87.74%Pourcentage en désavantage numérique36.36%
Werewolves
23-5-2, 48pts
1
FINAL
3 Requins
27-3-0, 54pts
Team Stats
L3SéquenceW23
12-1-2Fiche domicile13-2-0
11-4-0Fiche domicile14-1-0
6-3-1Derniers 10 matchs10-0-0
13.83Buts par match 14.30
1.97Buts contre par match 2.57
32.14%Pourcentage en avantage numérique40.32%
76.92%Pourcentage en désavantage numérique87.74%
Hybrides
19-10-1, 39pts
2023-12-09
Requins
27-3-0, 54pts
Statistiques d’équipe
W4SéquenceW23
10-5-0Fiche domicile13-2-0
9-5-1Fiche visiteur14-1-0
7-3-010 derniers matchs10-0-0
15.10Buts par match 14.30
2.87Buts contre par match 14.30
32.05%Pourcentage en avantage numérique40.32%
76.03%Pourcentage en désavantage numérique87.74%
Requins
27-3-0, 54pts
2023-12-11
Knights
9-21-0, 18pts
Statistiques d’équipe
W23SéquenceL1
13-2-0Fiche domicile5-10-0
14-1-0Fiche visiteur4-11-0
10-0-010 derniers matchs4-6-0
14.30Buts par match 7.53
2.57Buts contre par match 7.53
40.32%Pourcentage en avantage numérique22.97%
87.74%Pourcentage en désavantage numérique62.30%
Chevalier
23-6-1, 47pts
2023-12-13
Requins
27-3-0, 54pts
Statistiques d’équipe
W5SéquenceW23
13-2-0Fiche domicile13-2-0
10-4-1Fiche visiteur14-1-0
8-2-010 derniers matchs10-0-0
14.10Buts par match 14.30
2.87Buts contre par match 14.30
34.12%Pourcentage en avantage numérique40.32%
79.43%Pourcentage en désavantage numérique87.74%
Meneurs d'équipe
Kyle PalmieriButs
Kyle Palmieri
56
Kyle PalmieriPasses
Kyle Palmieri
70
Kyle PalmieriPoints
Kyle Palmieri
126
Erik GudbransonPlus/Moins
Erik Gudbranson
170
Victoires
Akira Schmid
27
Pourcentage d’arrêts
Akira Schmid
0.953

Statistiques d’équipe
Buts pour
429
14.30 GFG
Tirs pour
1115
37.17 Avg
Pourcentage en avantage numérique
40.3%
25 GF
Début de zone offensive
26.0%
Buts contre
77
2.57 GAA
Tirs contre
903
30.10 Avg
Pourcentage en désavantage numérique
87.7%%
19 GA
Début de la zone défensive
31.8%
Informations de l'équipe

Directeur généralKarl Freniere
EntraîneurBenoit Groulx
DivisionBeliveau
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure24
Limite contact 49 / 60
Espoirs27


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
1Zach Parise0X100.00764390817073996836495080729196047730391775,000$
2Jack McBain (R)0X100.009980787783676458764948822555550506902311,350,000$
3Kyle Palmieri0XX100.00794486836776797737515160637780050690321650,000$
4Tyson Jost0XX100.007357858568659358645047757568710506802522,000,000$
5Warren Foegele0XX100.00794487777363926550504876256770050680271945,000$
6William Carrier0X100.00894684797963776529495170256770050660281700,000$
7Jordan Greenway0XX100.008246878086657960294747672567680506502622,100,000$
8Elliot Desnoyers (R)0XX100.00736592666577816379404063624444050650212854,167$
9Adam Beckman (R)0X100.00716389686378836250393962654545050640221894,167$
10Paul Cotter (R)0XX100.00965791636963785840474963455151050630231650,000$
11Juraj Slafkovsky (R)0XX100.007960767087625668454947642547470506301924,450,000$
12Lukas Rousek (R)0X100.00726489706463636350444463554444050620242830,000$
13Givani Smith0XX100.00849947718147695925474562255858050610251650,000$
14Nikita Alexandrov (R)0X100.00754390637055845959484760254646050600232880,000$
15Erik Gudbranson0X100.008276777884839158254945877578800507003121,200,000$
16Simon Benoit0X100.00936178727878836125474595255959047680251925,000$
17Niko Mikkola0X100.00845879737374855925474586256162050660291787,500$
18Tim Berni (R)0X100.00854483636471916225464576255050050640232925,000$
19Isaak Phillips (R)0X100.00828790647467835925504680254545050640211925,000$
20Arber Xhekaj (R)0X100.00969948709167686525494766254949050630222828,333$
21Calvin De Haan0X100.00814488817262785525494572757575050630321650,000$
22Nick Perbix (R)0X100.00764489707767616025504668255252050620252925,000$
23Samuel Knazko (R)0X100.00767089647061645225414162374444050560212902,500$
Rayé
MOYENNE D’ÉQUIPE100.0082618273746778613947467141585905065
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 SPÂgeContratSalaire
1Akira Schmid (R)0100.0071615986786499727871904646050740231777,777$
2Jake Allen0100.0064686876656283666564926871050690332650,000$
Rayé
MOYENNE D’ÉQUIPE100.006865648172639169726891575905072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx70707070707070CAN555650,000$


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
1Kyle PalmieriRequins (COU)LW/RW285670126115120219120467646.67%246216.51410141339000014066.67%301414095.4501000613
2Zach PariseRequins (COU)LW285068118137802435103417648.54%2165323.33549123981119161791057.89%579824083.6101000264
3Warren FoegeleRequins (COU)LW/RW305461115115404233125387743.20%2052617.562244395499515060.00%3011226094.3701000524
4Tyson JostRequins (COU)C/LW28377010712980232583315344.58%1155519.85347733771413972070.76%38310925073.8501000332
5Jack McBainRequins (COU)C28285987135280573357134249.12%2864222.942246399716161655168.41%7093027072.7101000025
6William CarrierRequins (COU)LW2834488282240181387285239.08%1034812.46000012465223052.94%178211054.7000000141
7Erik GudbransonRequins (COU)D28185472170555464759293530.51%4974526.642798421563125000%01568021.9301000011
8Juraj SlafkovskyRequins (COU)LW/RW2832376911026034867233647.76%642115.05314734000001061.54%13376063.2800000011
9Jordan GreenwayRequins (COU)LW/RW2832376977120191370274045.71%830610.9400000000001062.50%16585054.5100000203
10Paul CotterRequins (COU)C/RW2821426311460321053193539.62%447817.09000002132121053.42%2342910042.6300000120
11Simon BenoitRequins (COU)D28134154142420505350313726.00%6265123.282465422578130200%0671001.6600000101
12Niko MikkolaRequins (COU)D28103343111260394144232922.73%3655719.92134531279499000%0652011.5400000000
13Isaak PhillipsRequins (COU)D30122638107120264358283220.69%4058519.521236310883105000%0844001.3001000000
14Nikita AlexandrovRequins (COU)C281316293300131438102434.21%31977.0400000000001066.67%117223012.9400000000
15Arber XhekajRequins (COU)D2871724103360541733171121.21%2441614.8800000123365000%01117001.1500000000
16Calvin De HaanRequins (COU)D286162293120101230141520.00%2633812.080000000005010%0532001.3011000000
17Adam BeckmanRequins (COU)LW28591433408423101621.74%71967.0300000000000016.67%682001.4200000000
18Nick PerbixRequins (COU)D280662820893520%71134.040000000001000%002001.0600000000
Statistiques d’équipe totales ou en moyenne508428710113818343175524419110343368838.80%364819816.1425396473374396110082106226265.63%16127774290642.7818000212225
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
1Akira SchmidRequins (COU)2827100.9531.3916850439838559300.8336280632
Statistiques d’équipe totales ou en moyenne2827100.9531.3916850439838559306280632


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam BeckmanRequins (COU)LW225/10/2001Yes168 Lbs185 CMNoNoN/ANoNo1Pro & Farm894,167$596,111$0$0$No------------------Lien
Akira SchmidRequins (COU)G235/12/2000Yes205 Lbs196 CMNoNoN/ANoNo1Pro & Farm777,777$518,518$0$0$No------------------Lien
Arber XhekajRequins (COU)D221/30/2001Yes238 Lbs193 CMNoNoN/ANoNo2Pro & Farm828,333$552,222$0$0$No828,333$--------No--------
Calvin De HaanRequins (COU)D325/8/1991No195 Lbs185 CMNoNoN/ANoNo1Pro & Farm650,000$433,333$0$0$No------------------Lien / Lien NHL
Elliot DesnoyersRequins (COU)C/LW211/21/2002Yes183 Lbs178 CMNoNoN/ANoNo2Pro & Farm854,167$569,445$0$0$No854,167$--------No--------Lien
Erik GudbransonRequins (COU)D311/7/1992No217 Lbs196 CMNoNoN/ANoNo2Pro & Farm1,200,000$800,000$0$0$No1,200,000$--------No--------Lien / Lien NHL
Givani SmithRequins (COU)LW/RW252/27/1998No210 Lbs188 CMNoNoN/ANoNo1Pro & Farm650,000$433,333$0$0$No------------------Lien / Lien NHL
Isaak PhillipsRequins (COU)D219/28/2001Yes193 Lbs188 CMNoNoN/ANoNo1Pro & Farm925,000$616,667$0$0$No------------------Lien
Jack McBainRequins (COU)C236/6/2000Yes218 Lbs193 CMNoNoN/ANoNo1Pro & Farm1,350,000$900,000$0$0$No------------------Lien
Jake AllenRequins (COU)G338/7/1990No195 Lbs188 CMNoNoN/ANoNo2Pro & Farm650,000$433,333$0$0$No650,000$--------No--------Lien / Lien NHL
Jordan GreenwayRequins (COU)LW/RW262/16/1997No225 Lbs198 CMNoNoN/ANoNo2Pro & Farm2,100,000$1,400,000$0$0$No2,100,000$--------No--------Lien / Lien NHL
Juraj SlafkovskyRequins (COU)LW/RW193/30/2004Yes238 Lbs191 CMNoNoN/ANoNo2Pro & Farm4,450,000$2,966,667$0$0$No4,450,000$--------No--------
Kyle PalmieriRequins (COU)LW/RW322/1/1991No185 Lbs180 CMNoNoN/ANoNo1Pro & Farm650,000$433,333$0$0$No------------------Lien / Lien NHL
Lukas RousekRequins (COU)RW244/20/1999Yes175 Lbs180 CMNoNoN/ANoNo2Pro & Farm830,000$553,333$0$0$No830,000$--------No--------Lien
Nick PerbixRequins (COU)D256/15/1998Yes200 Lbs193 CMNoNoN/ANoNo2Pro & Farm925,000$616,667$0$0$No925,000$--------No--------
Nikita AlexandrovRequins (COU)C239/16/2000Yes190 Lbs183 CMNoNoN/ANoNo2Pro & Farm880,000$586,667$0$0$No880,000$--------No--------Lien
Niko MikkolaRequins (COU)D294/27/1994No185 Lbs193 CMNoNoN/ANoNo1Pro & Farm787,500$525,000$0$0$No------------------Lien / Lien NHL
Paul CotterRequins (COU)C/RW2311/16/1999Yes185 Lbs183 CMNoNoN/ANoNo1Pro & Farm650,000$433,333$0$0$No------------------Lien
Samuel KnazkoRequins (COU)D217/8/2002Yes191 Lbs183 CMNoNoN/ANoNo2Pro & Farm902,500$601,667$0$0$No902,500$--------No--------Lien
Simon BenoitRequins (COU)D259/19/1998No208 Lbs191 CMNoNoN/ANoNo1Pro & Farm925,000$616,667$0$0$No------------------Lien
Tim BerniRequins (COU)D232/11/2000Yes175 Lbs180 CMNoNoN/ANoNo2Pro & Farm925,000$616,667$0$0$No925,000$--------No--------Lien
Tyson JostRequins (COU)C/LW253/14/1998No187 Lbs180 CMNoNoN/ANoNo2Pro & Farm2,000,000$1,333,333$0$0$No2,000,000$--------No--------Lien / Lien NHL
Warren FoegeleRequins (COU)LW/RW274/1/1996No198 Lbs188 CMNoNoN/ANoNo1Pro & Farm945,000$630,000$0$0$No------------------Lien / Lien NHL
William CarrierRequins (COU)LW2812/20/1994No218 Lbs188 CMNoNoN/ANoNo1Pro & Farm700,000$466,667$0$0$No------------------Lien / Lien NHL
Zach PariseRequins (COU)LW397/28/1984No195 Lbs180 CMNoNoN/ANoNo1Pro & Farm775,000$516,667$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.68199 Lbs188 CM1.481,088,978$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseJack McBainKyle Palmieri40122
2Warren FoegeleTyson JostJuraj Slafkovsky30122
3William CarrierPaul CotterJordan Greenway20122
4Adam BeckmanNikita AlexandrovPaul Cotter10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonSimon Benoit40122
2Niko MikkolaIsaak Phillips30122
3Arber XhekajCalvin De Haan20122
4Nick PerbixErik Gudbranson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseJack McBainKyle Palmieri60122
2Warren FoegeleTyson JostJuraj Slafkovsky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonSimon Benoit60122
2Niko MikkolaIsaak Phillips40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainZach Parise60122
2Tyson JostWarren Foegele40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonSimon Benoit60122
2Niko MikkolaIsaak Phillips40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack McBain60122Erik GudbransonSimon Benoit60122
2Tyson Jost40122Niko MikkolaIsaak Phillips40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainZach Parise60122
2Tyson JostWarren Foegele40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GudbransonSimon Benoit60122
2Niko MikkolaIsaak Phillips40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseJack McBainKyle PalmieriErik GudbransonSimon Benoit
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseJack McBainKyle PalmieriErik GudbransonSimon Benoit
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyson Jost, William Carrier, Jordan GreenwayTyson Jost, William CarrierTyson Jost
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Arber Xhekaj, Calvin De Haan, Nick PerbixArber XhekajArber Xhekaj, Calvin De Haan
Tirs de pénalité
Zach Parise, Kyle Palmieri, Jack McBain, Warren Foegele, Tyson Jost
Gardien
#1 : Akira Schmid, #2 : Jake Allen


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
TotalDomicileVisiteur
# 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
1Barbus22000000835110000004221100000041341.00081422001791509736938836435415622114349444.44%8187.50%026844460.36%32354359.48%49572368.46%777541595207433240
2Barracuda22000000620621100000029029110000003303341.0006211017202179150973983883643541528111845000%90100.00%526844460.36%32354359.48%49572368.46%777541595207433240
3Benchwarmers220000001239110000009271100000031241.000121830001791509736438836435415793039385240.00%13284.62%326844460.36%32354359.48%49572368.46%777541595207433240
4Caribou22000000693661100000035134110000003423241.00069113182001791509738938836435415501118382150.00%90100.00%926844460.36%32354359.48%49572368.46%777541595207433240
5Casse-Tete211000007701010000012-11100000065120.5007111800179150973703883643541584332437000%12466.67%026844460.36%32354359.48%49572368.46%777541595207433240
6Chevalier21000010734100000102111100000052341.00071017001791509737638836435415743720336350.00%11372.73%026844460.36%32354359.48%49572368.46%777541595207433240
7Diabotins22000000970971100000050050110000004704741.00097162259021791509739838836435415961235000%60100.00%526844460.36%32354359.48%49572368.46%777541595207433240
8Hooligans22000000802781100000037136110000004314241.0008013521500179150973813883643541544183241000%160100.00%826844460.36%32354359.48%49572368.46%777541595207433240
9Hybrides21100000534-2910100000132-311100000042220.5005914001791509734438836435415852814228225.00%7271.43%026844460.36%32354359.48%49572368.46%777541595207433240
10Jardiniers2200000015510110000009181100000064241.0001520350017915097378388364354158542283310660.00%14285.71%026844460.36%32354359.48%49572368.46%777541595207433240
11Knights211000001174110000008171010000036-320.50011193000179150973623883643541553228305360.00%40100.00%126844460.36%32354359.48%49572368.46%777541595207433240
12Leftovers21001000835110000005141000100032141.00081119001791509737138836435415683026304125.00%13284.62%226844460.36%32354359.48%49572368.46%777541595207433240
13Pirates22000000342321100000020119110000001411341.00034589200179150973933883643541548222046000%100100.00%426844460.36%32354359.48%49572368.46%777541595207433240
14Vagabond22000000936110000005231100000041341.00091524001791509736138836435415672822325120.00%11281.82%126844460.36%32354359.48%49572368.46%777541595207433240
15Werewolves21001000523110000003121000100021141.0005914001791509736138836435415673424378225.00%12191.67%126844460.36%32354359.48%49572368.46%777541595207433240
Total302430201042977352151220001021848170151210200021129182540.900429714114304179150973111538836435415903373319531622540.32%1551987.74%3926844460.36%32354359.48%49572368.46%777541595207433240
_Since Last GM Reset302430201042977352151220001021848170151210200021129182540.900429714114304179150973111538836435415903373319531622540.32%1551987.74%3926844460.36%32354359.48%49572368.46%777541595207433240
_Vs Conference1413001000255182377700000013581277600100012010110281.0002554196740217915097354638836435415400176179255241041.67%83890.36%2326844460.36%32354359.48%49572368.46%777541595207433240
_Vs Division6800000048123634000000234193400000025817161.3334879127001791509732393883643541520692641166350.00%33778.79%426844460.36%32354359.48%49572368.46%777541595207433240

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3054W234297141143111590337331953104
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
30243201042977
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
15122001021848
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
15121200021129
Derniers 10 matchs
WLOTWOTL SOWSOL
1000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
622540.32%1551987.74%39
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
38836435415179150973
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
26844460.36%32354359.48%49572368.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
777541595207433240


Derniers matchs 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
2 - 2023-10-106Hybrides32Requins1BLSommaire du match
4 - 2023-10-1213Requins3Knights6ALSommaire du match
6 - 2023-10-1424Chevalier1Requins2BWXXSommaire du match
8 - 2023-10-1631Requins4Barbus1AWSommaire du match
10 - 2023-10-1840Requins14Pirates1AWSommaire du match
12 - 2023-10-2048Jardiniers1Requins9BWSommaire du match
14 - 2023-10-2256Casse-Tete2Requins1BLSommaire du match
16 - 2023-10-2462Diabotins0Requins50BWSommaire du match
18 - 2023-10-2669Requins3Benchwarmers1AWSommaire du match
19 - 2023-10-2776Caribou1Requins35BWSommaire du match
21 - 2023-10-2983Barracuda0Requins29BWSommaire du match
23 - 2023-10-3190Leftovers1Requins5BWSommaire du match
25 - 2023-11-0297Requins4Vagabond1AWSommaire du match
28 - 2023-11-05112Hooligans1Requins37BWSommaire du match
30 - 2023-11-07119Requins2Werewolves1AWXSommaire du match
32 - 2023-11-09126Requins4Hybrides2AWSommaire du match
34 - 2023-11-11133Knights1Requins8BWSommaire du match
36 - 2023-11-13144Requins5Chevalier2AWSommaire du match
38 - 2023-11-15151Barbus2Requins4BWSommaire du match
40 - 2023-11-17160Pirates1Requins20BWSommaire du match
42 - 2023-11-19168Requins6Jardiniers4AWSommaire du match
44 - 2023-11-21176Requins6Casse-Tete5AWSommaire du match
46 - 2023-11-23182Requins47Diabotins0AWSommaire du match
48 - 2023-11-25189Benchwarmers2Requins9BWSommaire du match
49 - 2023-11-26196Requins34Caribou2AWSommaire du match
51 - 2023-11-28203Requins33Barracuda0AWSommaire du match
53 - 2023-11-30210Requins3Leftovers2AWXSommaire du match
55 - 2023-12-02217Vagabond2Requins5BWSommaire du match
58 - 2023-12-05232Requins43Hooligans1AWSommaire du match
60 - 2023-12-07239Werewolves1Requins3BWSommaire du match
62 - 2023-12-09246Hybrides-Requins-
64 - 2023-12-11253Requins-Knights-
66 - 2023-12-13264Chevalier-Requins-
68 - 2023-12-15271Requins-Barbus-
70 - 2023-12-17280Requins-Pirates-
72 - 2023-12-19288Jardiniers-Requins-
74 - 2023-12-21296Casse-Tete-Requins-
76 - 2023-12-23302Diabotins-Requins-
78 - 2023-12-25309Requins-Benchwarmers-
79 - 2023-12-26316Caribou-Requins-
81 - 2023-12-28323Barracuda-Requins-
83 - 2023-12-30330Leftovers-Requins-
85 - 2024-01-01337Requins-Vagabond-
88 - 2024-01-04352Hooligans-Requins-
90 - 2024-01-06359Requins-Werewolves-
92 - 2024-01-08366Requins-Hybrides-
94 - 2024-01-10373Knights-Requins-
96 - 2024-01-12384Requins-Chevalier-
98 - 2024-01-14391Barbus-Requins-
100 - 2024-01-16400Pirates-Requins-
102 - 2024-01-18408Requins-Jardiniers-
104 - 2024-01-20416Requins-Casse-Tete-
106 - 2024-01-22422Requins-Diabotins-
108 - 2024-01-24429Benchwarmers-Requins-
109 - 2024-01-25436Requins-Caribou-
111 - 2024-01-27443Requins-Barracuda-
113 - 2024-01-29450Requins-Leftovers-
115 - 2024-01-31457Vagabond-Requins-
118 - 2024-02-03472Requins-Hooligans-
120 - 2024-02-05479Werewolves-Requins-
122 - 2024-02-07486Hybrides-Requins-
124 - 2024-02-09493Requins-Knights-
126 - 2024-02-11504Chevalier-Requins-
128 - 2024-02-13511Requins-Barbus-
130 - 2024-02-15520Requins-Pirates-
132 - 2024-02-17528Jardiniers-Requins-
134 - 2024-02-19536Casse-Tete-Requins-
136 - 2024-02-21542Diabotins-Requins-
138 - 2024-02-23549Requins-Benchwarmers-
139 - 2024-02-24556Caribou-Requins-
141 - 2024-02-26563Barracuda-Requins-
143 - 2024-02-28570Leftovers-Requins-
145 - 2024-03-01577Requins-Vagabond-
148 - 2024-03-04592Hooligans-Requins-
150 - 2024-03-06599Requins-Werewolves-
152 - 2024-03-08606Requins-Hybrides-
154 - 2024-03-10613Knights-Requins-
156 - 2024-03-12624Requins-Chevalier-
158 - 2024-03-14631Barbus-Requins-
160 - 2024-03-16640Pirates-Requins-
162 - 2024-03-18648Requins-Jardiniers-
164 - 2024-03-20656Requins-Casse-Tete-
166 - 2024-03-22662Requins-Diabotins-
168 - 2024-03-24669Benchwarmers-Requins-
169 - 2024-03-25676Requins-Caribou-
171 - 2024-03-27683Requins-Barracuda-
173 - 2024-03-29690Requins-Leftovers-
175 - 2024-03-31697Vagabond-Requins-
178 - 2024-04-03712Requins-Hooligans-
180 - 2024-04-05719Werewolves-Requins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
908,111$ 2,722,445$ 2,588,028$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,125$ 908,111$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 120 15,125$ 1,815,000$




Requins Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Requins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Requins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Requins Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Requins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA