Requins
GP: 3 | W: 2 | L: 1
GF: 12 | GA: 11 | PP%: 22.22% | PK%: 81.82%
DG: Karl Freniere | Morale : 50 | Moyenne d’équipe : 62
Prochain matchs #15 vs Jardiniers
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Centre de jeu
Requins
2-1-0, 4pts
4
FINAL
6 Jardiniers
1-2-0, 2pts
Team Stats
W1StreakOTL1
1-0-0Home Record1-1-0
1-1-0Away Record0-1-0
2-1-0Last 10 Games1-1-1
4.00Goals Per Game3.67
3.67Goals Against Per Game4.00
22.22%Power Play Percentage18.18%
81.82%Penalty Kill Percentage77.78%
Jardiniers
1-2-0, 2pts
3
FINAL
4 Requins
2-1-0, 4pts
Team Stats
OTL1StreakW1
1-1-0Home Record1-0-0
0-1-0Away Record1-1-0
1-1-1Last 10 Games2-1-0
3.67Goals Per Game4.00
4.00Goals Against Per Game3.67
18.18%Power Play Percentage22.22%
77.78%Penalty Kill Percentage81.82%
Jardiniers
1-2-0, 2pts
2021-04-22
Requins
2-1-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-1-110 derniers matchs2-1-0
3.67Buts par match 4.00
4.00Buts contre par match 3.67
18.18%Pourcentage en avantage numérique22.22%
77.78%Pourcentage en désavantage numérique81.82%
Requins
2-1-0, 4pts
2021-04-24
Jardiniers
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceOTL1
1-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-1-0
2-1-010 derniers matchs1-1-1
4.00Buts par match 3.67
3.67Buts contre par match 4.00
22.22%Pourcentage en avantage numérique18.18%
81.82%Pourcentage en désavantage numérique77.78%
Jardiniers
1-2-0, 2pts
2021-04-26
Requins
2-1-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-1-110 derniers matchs2-1-0
3.67Buts par match 4.00
4.00Buts contre par match 3.67
18.18%Pourcentage en avantage numérique22.22%
77.78%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Victoires
Max Lagace
2
Pourcentage d’arrêts
Max Lagace
0.888

Statistiques d’équipe
Buts pour
12
4.00 GFG
Tirs pour
80
26.67 Avg
Pourcentage en avantage numérique
22.2%
2 GF
Début de zone offensive
33.6%
Buts contre
11
3.67 GAA
Tirs contre
98
32.67 Avg
Pourcentage en désavantage numérique
81.8%
2 GA
Début de la zone défensive
37.5%
Information d’équipe

Directeur généralKarl Freniere
EntraîneurDominique Ducharme
DivisionBeliveau
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure26
Limite contact 51 / 60
Espoirs39


Historique d'équipe

Saison actuelle2-1
Historique279-186-28 (0.566%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)7-9
Stanley Cup0


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
1Christian Dvorak0X100.006856958671726476725149667564640506802411,106,667$
2Austin Watson0X100.009180687880626459384947765366670506702811,100,000$
3David Kampf0X100.006842957672668459654947737563630506702521,000,000$
4Brett Howden0X100.00754387807264855875484781255959050670221863,333$
5Nick Paul0X100.00846789718762786560494767255656050660251650,000$
6Kirby Dach (R)0X100.006542888475678271495047607551510476501923,425,000$
7Max Jones0X100.00794482737667876338474766255555050650221863,333$
8Frederik Gauthier0X100.00774494708853835662484670256364050640252675,000$
9John Hayden0X100.00848064738554665830464677255959050640251750,000$
10Eetu Luostarinen (R)0X100.00726785776770735974404062534444050630222925,000$
11Adam Erne0X100.00904484727760786246484660756061050630251800,000$
12Austin Wagner0X100.00876685626857856331484763255959050630231925,000$
13William Carrier0X100.00965384807855806146484760256162050620251725,000$
14Brendan Perlini0X100.006844908479587165254746597564640506202411,363,333$
15Jaret Anderson-Dolan (R)0X100.00726783796763645974414162514444050610211910,833$
16Rudolfs Balcers0X100.00744296656162816726494656254949050610231925,000$
17David Kase (R)0XXX100.00716391626363665569393960504444050600232850,000$
18Vince Dunn0X100.00684986857371926625434055256061050620232888,333$
19Jake Bean0X100.007369836769788362253838634844440506102211,363,333$
20Brendan Guhle0X100.00725186756972755225393871255858050590231888,333$
21Steven Santini0X100.008065827276656654323433633854540505502521,416,667$
22William Lagesson (R)0X100.00777679657664675225323263434444050540242758,333$
23Guillaume Brisebois0X100.00747081686768704925313164395151050540231888,333$
24Martin Fehervary (R)0X100.00757283727266714725313160394444050530202894,167$
Rayé
MOYENNE D’ÉQUIPE100.0077588574746476604444426543555505062
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
1Max Lagace100.0063637975647061686967304444050670
Rayé
MOYENNE D’ÉQUIPE100.006363797564706168696730444405067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN474450,000$


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
1Frederik GauthierRequins (COU)C31343002552320.00%04113.7700000000000043.33%3013001.9400000000
2David KampfRequins (COU)C340410033124833.33%46421.4700000101141050.00%1684001.2400000100
3Austin WagnerRequins (COU)LW31343206274714.29%14113.760000000000000.00%271001.9400000001
4Brett HowdenRequins (COU)C3134-20011251920.00%86822.74022060001111063.33%3099001.1700000100
5Christian DvorakRequins (COU)C3224-100210127816.67%57324.49101180001100060.94%6492001.0900000010
6Vince DunnRequins (COU)D3011020148340.00%88026.92000310000012000.00%019000.2500000000
7Jaret Anderson-DolanRequins (COU)RW3101-1001354420.00%25518.66000190000000100.00%131000.3600000001
8John HaydenRequins (COU)LW31010408271114.29%33210.911011700000000.00%012000.6100000010
9Max JonesRequins (COU)LW3011020323380.00%25819.490001900002000.00%0114000.3400000000
10Rudolfs BalcersRequins (COU)LW3011100102010.00%0103.39000000111600100.00%102001.9700000000
11William CarrierRequins (COU)LW31011201261516.67%03210.6700046000010083.33%651000.6200000000
12Steven SantiniRequins (COU)D3011300340000.00%53913.110000000000000.00%014000.5100000000
13Jake BeanRequins (COU)D3000-360240200.00%25819.530000500005000.00%001000.0000000000
14Brendan GuhleRequins (COU)D3000-200242300.00%55819.610001500006000.00%006000.0000000000
15Adam ErneRequins (COU)LW3000-220413020.00%2299.980000000000000.00%151000.0000000000
16Brendan PerliniRequins (COU)LW3000000103210.00%0124.21000120000000100.00%120000.0000000000
Statistiques d’équipe totales ou en moyenne481215271200415880376115.00%4775815.7922413711124602057.24%1526350000.7100000222
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
1Max LagaceRequins (COU)32100.8883.6718000119860000.000030000
Statistiques d’équipe totales ou en moyenne32100.8883.6718000119860000.000030000


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 Salaire restantPlafond salarial 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 10Link
Adam ErneRequins (COU)LW251995-04-20No214 Lbs185 CMNoNoNo1Pro & Farm800,000$457,142$0$0$NoLien / Lien NHL
Austin WagnerRequins (COU)LW231997-06-23No178 Lbs185 CMNoNoNo1Pro & Farm925,000$528,571$0$0$NoLien / Lien NHL
Austin WatsonRequins (COU)LW281992-01-12No204 Lbs193 CMNoNoNo1Pro & Farm1,100,000$628,571$0$0$NoLien / Lien NHL
Brendan GuhleRequins (COU)D231997-07-29No186 Lbs185 CMNoNoNo1Pro & Farm888,333$507,618$0$0$NoLien / Lien NHL
Brendan PerliniRequins (COU)LW241996-04-27No212 Lbs191 CMNoNoNo1Pro & Farm1,363,333$779,047$0$0$NoLien / Lien NHL
Brett HowdenRequins (COU)C221998-03-29No193 Lbs188 CMNoNoNo1Pro & Farm863,333$493,333$0$0$NoLien / Lien NHL
Christian DvorakRequins (COU)C241996-02-02No195 Lbs183 CMNoNoNo1Pro & Farm1,106,667$632,381$0$0$NoLien / Lien NHL
David KampfRequins (COU)C251995-01-12No191 Lbs188 CMNoNoNo2Pro & Farm1,000,000$571,428$0$0$No1,000,000$Lien / Lien NHL
David KaseRequins (COU)C/LW/RW231997-01-28Yes170 Lbs180 CMNoNoNo2Pro & Farm850,000$485,714$0$0$No850,000$Lien / Lien NHL
Eetu LuostarinenRequins (COU)C221998-09-02Yes179 Lbs188 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien NHL
Frederik GauthierRequins (COU)C251995-04-26No238 Lbs196 CMNoNoNo2Pro & Farm675,000$385,714$0$0$No675,000$Lien / Lien NHL
Guillaume BriseboisRequins (COU)D231997-07-21No175 Lbs188 CMNoNoNo1Pro & Farm888,333$507,618$0$0$NoLien / Lien NHL
Jake BeanRequins (COU)D221998-06-09No187 Lbs185 CMNoNoNo1Pro & Farm1,363,333$779,047$0$0$NoLien / Lien NHL
Jaret Anderson-DolanRequins (COU)RW211999-09-11Yes188 Lbs180 CMNoNoNo1Pro & Farm910,833$520,476$0$0$NoLien / Lien NHL
John HaydenRequins (COU)LW251995-02-14No223 Lbs191 CMNoNoNo1Pro & Farm750,000$428,571$0$0$NoLien / Lien NHL
Kirby DachRequins (COU)C192001-01-20Yes198 Lbs193 CMNoNoNo2Pro & Farm3,425,000$1,957,142$0$0$No3,425,000$Lien / Lien NHL
Martin FehervaryRequins (COU)D201999-10-06Yes194 Lbs188 CMNoNoNo2Pro & Farm894,167$510,952$0$0$No894,167$Lien / Lien NHL
Max JonesRequins (COU)LW221998-02-16No203 Lbs191 CMNoNoNo1Pro & Farm863,333$493,333$0$0$NoLien / Lien NHL
Max LagaceRequins (COU)G271993-01-11No190 Lbs188 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien
Nick PaulRequins (COU)LW251995-03-20No230 Lbs193 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Rudolfs BalcersRequins (COU)LW231997-04-08No165 Lbs180 CMNoNoNo1Pro & Farm925,000$528,571$0$0$NoLien / Lien NHL
Steven SantiniRequins (COU)D251995-03-07No205 Lbs188 CMNoNoNo2Pro & Farm1,416,667$809,524$0$0$No1,416,667$Lien / Lien NHL
Vince DunnRequins (COU)D231996-10-28No203 Lbs183 CMNoNoNo2Pro & Farm888,333$507,618$0$0$No888,333$Lien / Lien NHL
William CarrierRequins (COU)LW251994-12-20No212 Lbs188 CMNoNoNo1Pro & Farm725,000$414,285$0$0$NoLien / Lien NHL
William LagessonRequins (COU)D241996-02-22Yes207 Lbs188 CMNoNoNo2Pro & Farm758,333$433,333$0$0$No758,333$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.52198 Lbs188 CM1.401,024,200$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesChristian DvorakJaret Anderson-Dolan40122
2John HaydenBrett HowdenChristian Dvorak30122
3Adam ErneDavid KampfBrett Howden20122
4Austin WagnerFrederik GauthierDavid Kampf10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince Dunn40122
2Jake BeanBrendan Guhle30122
3Steven Santini20122
4Vince Dunn10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesChristian DvorakJaret Anderson-Dolan60122
2John HaydenBrett HowdenChristian Dvorak40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince Dunn60122
2Jake BeanBrendan Guhle40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christian DvorakBrett Howden60122
2David KampfMax Jones40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince Dunn60122
2Jake BeanBrendan Guhle40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christian Dvorak60122Vince Dunn60122
2Brett Howden40122Jake BeanBrendan Guhle40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christian DvorakBrett Howden60122
2David KampfMax Jones40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince Dunn60122
2Jake BeanBrendan Guhle40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesChristian DvorakJaret Anderson-DolanVince Dunn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesChristian DvorakJaret Anderson-DolanVince Dunn
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Carrier, Brendan Perlini, Rudolfs BalcersWilliam Carrier, Brendan PerliniRudolfs Balcers
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Steven Santini, , Jake BeanSteven Santini, Jake Bean
Tirs de pénalité
Christian Dvorak, Brett Howden, David Kampf, Max Jones, Frederik Gauthier
Gardien
#1 : Max Lagace, #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
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
1Jardiniers3210000012111110000004312110000088040.667121527006411803418271984722419222.22%11281.82%1265150.98%325756.14%294465.91%674368214423
Total3210000012111110000004312110000088040.667121527006411803418271984722419222.22%11281.82%1265150.98%325756.14%294465.91%674368214423
_Since Last GM Reset3210000012111110000004312110000088040.667121527006411803418271984722419222.22%11281.82%1265150.98%325756.14%294465.91%674368214423
_Vs Conference3210000012111110000004312110000088040.667121527006411803418271984722419222.22%11281.82%1265150.98%325756.14%294465.91%674368214423

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W1121527809847224100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
32100001211
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000043
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000088
Derniers 10 matchs
WLOTWOTL SOWSOL
210000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9222.22%11281.82%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
34182716411
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
265150.98%325756.14%294465.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
674368214423


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 - 2021-04-163Requins4Jardiniers2WSommaire du match
4 - 2021-04-187Requins4Jardiniers6LSommaire du match
6 - 2021-04-2011Jardiniers3Requins4WXSommaire du match
8 - 2021-04-2215Jardiniers-Requins-
10 - 2021-04-2419Requins-Jardiniers-
12 - 2021-04-2623Jardiniers-Requins-
14 - 2021-04-2827Requins-Jardiniers-



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
41 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,560,498$ 2,146,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




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
Saison régulière
20168436310448145828817042221402031296136160421417024501621521010145879312513101641271552808010059178552374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201784393301731394436-42422313013111971781942162000420197258-6194394669106314013414011629410988981947238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
201882393600223403272131412414001202221121104115220010318116021874036651068100156130115289601100953837285799832310473287121.65%1604870.00%4936180052.00%793169146.90%610122349.88%1904129718376291207603
2018825023033304842402444132401310265101164411819020202191398011548485413380301821611353097011181036926274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
201984392705553245255-10422412013201241022242151504233121153-32106245417662030857971264309498298252701103280914063246921.30%4007182.25%101127181262.20%1196198260.34%645107160.22%1916120218857011297664
202084353605422323335-1242231600012168170-242122005410155165-1090323502825001169710310251582981584737264196070213793017825.91%3507977.43%17822140158.67%932161157.85%743122760.55%1875116818746871326674
Total Saison régulière50023818601825231023071826481250148730510104127279947325090113013151361035102785932307390062075111168187406021690082959755563442715702569948348387186146925.20%206945677.96%8660211039857.91%57951042355.60%4356755157.69%11791777010931397775223789
Séries éliminatoires
2016844000002933-44220000013112422000001622-682951800006121125506890972667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
2019514000001220-820200000511-63120000079-22122234000534152056375917274549019526.32%271062.96%06410759.81%7011461.40%366357.14%11068114387538
2020321000001211111000000431211000008804121527006411803418271984722419222.22%11281.82%1265150.98%325756.14%294465.91%674368214423
Total Séries éliminatoires1679000005364-11734000002225-3945000003139-814538814100615161648734142154157536196256269471429.79%842175.00%418231657.59%22136560.55%14023160.61%367240366117226113