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Connexion

Laval
GP: 70 | W: 32 | L: 31 | OTL: 7 | P: 71
GF: 228 | GA: 210 | PP%: 18.53% | PK%: 84.29%
DG: Yanick Ethier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #882 vs Eagles

Centre de jeu
Laval
32-31-7, 71pts
5
4 San Jose
34-27-8, 76pts
Team Stats
L1SéquenceW1
15-15-5Fiche domicile17-14-4
17-16-2Fiche domicile17-13-4
6-4-0Derniers 10 matchs7-2-1
3.26Buts par match 3.41
3.00Buts contre par match 3.36
18.53%Pourcentage en avantage numérique19.85%
84.29%Pourcentage en désavantage numérique79.62%
Ontario
47-19-3, 97pts
4
2 Laval
32-31-7, 71pts
Team Stats
W1SéquenceL1
23-12-0Fiche domicile15-15-5
24-7-3Fiche domicile17-16-2
7-3-0Derniers 10 matchs6-4-0
3.86Buts par match 3.26
2.81Buts contre par match 3.00
24.82%Pourcentage en avantage numérique18.53%
82.76%Pourcentage en désavantage numérique84.29%
Laval
32-31-7, 71pts
Jour 163
Eagles
43-20-6, 92pts
Statistiques d’équipe
L1SéquenceW4
15-15-5Fiche domicile22-11-2
17-16-2Fiche visiteur21-9-4
6-4-010 derniers matchs6-3-1
3.26Buts par match 3.52
3.00Buts contre par match 3.52
18.53%Pourcentage en avantage numérique19.48%
84.29%Pourcentage en désavantage numérique81.43%
Rockford
39-25-6, 84pts
Jour 165
Laval
32-31-7, 71pts
Statistiques d’équipe
L1SéquenceL1
22-10-3Fiche domicile15-15-5
17-15-3Fiche visiteur17-16-2
7-2-110 derniers matchs6-4-0
2.83Buts par match 3.26
2.71Buts contre par match 3.26
17.86%Pourcentage en avantage numérique18.53%
81.69%Pourcentage en désavantage numérique84.29%
Hartford
33-33-5, 71pts
Jour 169
Laval
32-31-7, 71pts
Statistiques d’équipe
L1SéquenceL1
16-18-1Fiche domicile15-15-5
17-15-4Fiche visiteur17-16-2
3-7-010 derniers matchs6-4-0
3.24Buts par match 3.26
3.39Buts contre par match 3.26
22.93%Pourcentage en avantage numérique18.53%
79.77%Pourcentage en désavantage numérique84.29%
Meneurs d'équipe
Buts
Alex Laferriere
37
Passes
Simon Holmstrom
50
Points
Alex Laferriere
78
Plus/Moins
Simon Holmstrom
22
Anthony StolarzVictoires
Anthony Stolarz
18
Magnus HellbergPourcentage d’arrêts
Magnus Hellberg
0.932

Statistiques d’équipe
Buts pour
228
3.26 GFG
Tirs pour
2552
36.46 Avg
Pourcentage en avantage numérique
18.5%
53 GF
Début de zone offensive
40.8%
Buts contre
210
3.00 GAA
Tirs contre
2545
36.36 Avg
Pourcentage en désavantage numérique
84.3%%
41 GA
Début de la zone défensive
42.6%
Informations de l'équipe

Directeur généralYanick Ethier
EntraîneurBenoit Groulx
DivisionNord
ConférenceConference est
CapitaineAndrei Loktionov
Assistant #1Victor Olofsson
Assistant #2Charles Hudon


Informations de l’aréna

Capacité3,000
Assistance2,193
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs67


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
1Tom WilsonX100.009144597397859669706976668064545050003021,100,000$
2Tyler EnnisXX100.00693298776782837149657367837767235000352900,000$
3Craig SmithXX100.00613189647571876267596459777273245000341850,000$
4Zack MacEwenXX100.00767164739372866269626662755756455000272675,000$
5Victor Olofsson (A)XX100.006833968085989074737074568457566150002812,700,000$
6Andrei Loktionov (C)XX100.00612892647371827659767067786660215000341850,000$
7Dryden HuntXX100.00702590788178886371636257845244455000281850,000$
8Charles Hudon (A)XX100.007027897480738677747476637462554050003011,000,000$
9Travis ZajacX100.0069299440705883633162657179967895000391950,000$
10Fredrik OlofssonXX100.00653196758472996865706662755959465000281925,000$
11Alex Laferriere (R)XX99.00864093847782977970767964703938775000223500,000$
12Simon Holmstrom (R)XX100.00703097808682997670767871704342775000232800,000$
13Luca SbisaX99.00704060728075975915754866176592950003421,000,000$
14Casey FitzgeraldX100.00692689798175994970494792775855415000271875,000$
15Libor HajekX100.00702989828678994972484789795248515000262875,000$
16Parker Wotherspoon (R)X100.00652997798576994770454688775752425000262925,000$
17Dillon HeatheringtonX100.00662595689170994170394290756258335000292800,000$
Rayé
1Byron FroeseXX100.00622592637766896480636561747261315000332975,000$
2Sebastian Aho (D)X97.006923848275788347524244777253505450002821,000,000$
MOYENNE D’ÉQUIPE99.7470338873817692636261637176625642500
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
1Magnus Hellberg100.0063897483748890858677747574445000331800,000$
2Anthony Stolarz100.0063768583788788858481706665575000301650,000$
Rayé
1Cory Schneider100.0061818679728586858571789999125000381950,000$
MOYENNE D’ÉQUIPE100.006282828275878885857674807938500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx76738984999965CAN5722,500,000$


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
1Alex LaferriereLaval (MTL)LW/RW693741781977251781083319825311.18%9143420.8061218522120113548243.96%20700011.0914023784
2Simon HolmstromLaval (MTL)LW/RW662650762215542107273912049.52%11133020.1551116401551122602347.77%76400111.1415001552
3Andrei LoktionovLaval (MTL)C/LW672231531720311021814212212.15%11127319.014711251380000232242.92%119300000.8312000325
4Casey FitzgeraldLaval (MTL)D7011415236407964129391018.53%109155822.2781018752280111206100%000000.6700000111
5Charles HudonLaval (MTL)LW/RW69183149-14759681247891707.29%8129218.7321416502321011562249.28%20900010.7617000313
6Tom WilsonLaval (MTL)RW70192443-110820190571886616010.11%11108115.443582611911271423350.85%23600100.8001211510
7Victor OlofssonLaval (MTL)LW/RW65172340-1038206864188571549.04%6114017.55581339216000063156.48%10800000.7003012221
8Luca SbisaLaval (MTL)D6483139774101236212837806.25%115142922.336511622121011123100%000000.5500002112
9Fredrik OlofssonLaval (MTL)C/LW7083038-1012046109155451055.16%11121117.311111239237000000144.79%171700010.6300000003
10Tyler EnnisLaval (MTL)LW/RW70171734-2601069208401438.17%10106115.160552480101111823041.58%10100010.6422000111
11Dillon HeatheringtonLaval (MTL)D70151732112604764106325614.15%125153121.877184422101121851160.00%500200.4200000131
12Libor HajekLaval (MTL)D7052328551576466825637.35%113134419.2133616500110215100%000000.4200100021
13Sebastian Aho (D)Laval (MTL)D7081119-10620683666345312.12%105141420.21336191760000136000%000000.2700000011
14Travis ZajacLaval (MTL)C7041115-4007636420416.25%382011.72000000000370032.69%108900000.3701000001
15Parker WotherspoonLaval (MTL)D70279-616056527716542.60%82109115.590001447000042000%000000.1600000000
16Craig SmithLaval (MTL)C/RW70347-400334369208.33%25277.530000201171630050.00%34000000.2700000000
17Zack MacEwenLaval (MTL)C/RW70336-5381053504322596.98%125818.310000100021451051.15%69600000.2100101001
18Dryden HuntLaval (MTL)LW/RW68224-8808295012414.00%13344.9100000000001034.78%2300000.2400000001
19Byron FroeseLaval (MTL)C/RW4801104017125120%11453.03000090000150047.14%7000000.1400000000
20Marcus KrugerMontrealC/LW/RW1000000102210%01212.280000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne12872253986232364810011831204255278118928.82%7452061616.02539514852523445712371799291544.23%675800450.606254410292828
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
1Anthony StolarzLaval (MTL)34181240.9242.722072419412400410.750163411440
2Magnus HellbergLaval (MTL)167720.9322.6096802426140100.50041648221
3Cory SchneiderLaval (MTL)2071210.9003.44120360696900001.00042011021
Statistiques d’équipe totales ou en moyenne70323170.9192.9042441032052544051247070682


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Alex LaferriereLaval (MTL)LW/RW222001-10-28USAYes173 Lbs6 ft0NoNoProspectNoNo32025-10-15FalseFalsePro & Farm500,000$84,615$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Andrei LoktionovLaval (MTL)C/LW341990-05-30RUSNo201 Lbs5 ft11NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm850,000$143,846$0$0$No---------------------------Lien
Anthony StolarzLaval (MTL)G301994-01-20USANo216 Lbs6 ft6NoNoFree AgentNoNo12025-09-30FalseFalsePro & Farm650,000$110,000$0$0$No---------------------------Lien / Lien NHL
Byron FroeseLaval (MTL)C/RW331991-03-12CANNo203 Lbs6 ft1NoNoTrade2025-01-24NoNo22024-09-24FalseFalsePro & Farm975,000$165,000$0$0$No975,000$--------975,000$--------No--------Lien
Casey FitzgeraldLaval (MTL)D271997-02-25USANo183 Lbs5 ft11NoNoN/ANoNo12024-09-15FalseFalsePro & Farm875,000$148,077$0$0$No---------------------------Lien
Charles HudonLaval (MTL)LW/RW301994-06-23CANNo197 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$169,231$0$0$No---------------------------Lien
Cory Schneider (contrat à 1 volet)Laval (MTL)G381986-03-18USANo206 Lbs6 ft2NoNoFree AgentYesYes12024-09-26FalseFalsePro & Farm950,000$180,500$9,500$1,805$No---------------------------
Craig SmithLaval (MTL)C/RW341989-09-05USANo210 Lbs6 ft1NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm850,000$143,846$0$0$No---------------------------Lien / Lien NHL
Dillon HeatheringtonLaval (MTL)D291995-05-09CANNo215 Lbs6 ft4NoNoN/ANoNo22025-09-09FalseFalsePro & Farm800,000$135,385$0$0$No800,000$--------800,000$--------No--------Lien
Dryden HuntLaval (MTL)LW/RW281995-11-24CANNo197 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm850,000$143,846$0$0$No---------------------------Lien / Lien NHL
Fredrik OlofssonLaval (MTL)C/LW281996-05-27SWENo190 Lbs6 ft2NoNoN/ANoNo12024-09-15FalseFalsePro & Farm925,000$156,538$0$0$No---------------------------Lien / Lien NHL
Libor HajekLaval (MTL)D261998-02-04CZENo209 Lbs6 ft2NoNoN/ANoNo22025-09-09FalseFalsePro & Farm875,000$148,077$0$0$No875,000$--------875,000$--------No--------Lien
Luca SbisaLaval (MTL)D341990-01-01ITANo218 Lbs6 ft2NoNoFree AgentNoNo22025-10-02FalseFalsePro & Farm1,000,000$169,231$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Magnus HellbergLaval (MTL)G331991-04-04SWENo215 Lbs6 ft6NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm800,000$135,385$0$0$No---------------------------Lien / Lien NHL
Parker WotherspoonLaval (MTL)D261997-08-24CANYes190 Lbs6 ft1NoNoN/ANoNo22024-09-15FalseFalsePro & Farm925,000$156,538$0$0$No925,000$--------925,000$--------No--------Lien
Sebastian Aho (D)Laval (MTL)D281996-02-17SWENo188 Lbs5 ft10NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm1,000,000$169,231$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Simon HolmstromLaval (MTL)LW/RW232001-05-24SWEYes205 Lbs6 ft2NoNoProspectNoNo22025-10-15FalseFalsePro & Farm800,000$135,385$0$0$No800,000$--------800,000$--------No--------
Tom WilsonLaval (MTL)RW301994-03-29CANNo221 Lbs6 ft4NoNoN/ANoNo22025-09-09FalseFalsePro & Farm1,100,000$186,154$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Travis ZajacLaval (MTL)C391985-05-05CANNo213 Lbs6 ft2NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm950,000$160,769$0$0$No---------------------------
Tyler EnnisLaval (MTL)LW/RW351989-01-19CANNo176 Lbs5 ft9NoNoFree AgentNoNo22025-09-22FalseFalsePro & Farm900,000$152,308$0$0$No900,000$--------900,000$--------No--------Lien
Victor Olofsson (contrat à 1 volet)Laval (MTL)LW/RW281995-07-18SWENo184 Lbs5 ft11NoNoN/AYesYes1FalseFalsePro & Farm2,700,000$513,000$27,000$5,130$No---------------------------Lien / Lien NHL
Zack MacEwenLaval (MTL)C/RW271996-07-08CANNo205 Lbs6 ft3NoNoN/ANoNo22025-09-09FalseFalsePro & Farm675,000$114,231$0$0$No675,000$--------675,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.09201 Lbs6 ft11.55952,273$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LaferriereSimon HolmstromAndrei Loktionov40005
2Charles HudonFredrik OlofssonVictor Olofsson32014
3Tyler EnnisTravis ZajacTom Wilson24122
4Dryden HuntZack MacEwenCraig Smith4122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca Sbisa35122
2Casey FitzgeraldLibor Hajek30122
3Parker WotherspoonDillon Heatherington25122
4Casey Fitzgerald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler EnnisTom WilsonAlex Laferriere50014
2Charles HudonFredrik OlofssonVictor Olofsson50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonLuca Sbisa50014
2Casey Fitzgerald50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Craig SmithTom Wilson50122
2Zack MacEwenTyler Ennis50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon Heatherington50122
2Casey FitzgeraldLibor Hajek50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tom Wilson50122Dillon Heatherington50122
2Charles Hudon50122Casey FitzgeraldLibor Hajek50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Charles HudonAlex Laferriere50122
2Victor OlofssonTom Wilson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Libor Hajek50122
2Casey FitzgeraldDillon Heatherington50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LaferriereSimon HolmstromCharles HudonDillon HeatheringtonLuca Sbisa
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LaferriereSimon HolmstromCharles HudonDillon HeatheringtonLuca Sbisa
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tom Wilson, Tyler Ennis, Travis ZajacTom Wilson, Tyler EnnisTravis Zajac
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Parker Wotherspoon, , Casey FitzgeraldParker Wotherspoon, Casey Fitzgerald
Tirs de pénalité
Victor Olofsson, Charles Hudon, Tyler Ennis, Travis Zajac, Tom Wilson
Gardien
#1 : Anthony Stolarz, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Alex Laferriere, Charles Hudon, Simon Holmstrom, Craig Smith, Tom Wilson, Victor Olofsson, Tyler Ennis, Fredrik Olofsson, Travis Zajac, Zack MacEwen
Lignes de défense personnalisées en prolongation
Dillon Heatherington, , Casey Fitzgerald, Libor Hajek, Parker Wotherspoon


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
1Abbotsford3110010089-12010010068-21100000021130.5008152300807071101158378378455810027227310330.00%11372.73%01228273644.88%1269285844.40%497111644.53%164211151685548923451
2Bakersfield3120000089-12020000047-31100000042220.333812200080707110978378378455812330144715213.33%7185.71%01228273644.88%1269285844.40%497111644.53%164211151685548923451
3Bridgeport3110100011923110100011920000000000040.66711203100807071101268378378455810134205516318.75%7357.14%01228273644.88%1269285844.40%497111644.53%164211151685548923451
4Charlotte40200002915-62000000257-22020000048-420.2509162500807071101428378378455817750336119315.79%14192.86%01228273644.88%1269285844.40%497111644.53%164211151685548923451
5Cleveland42001001218132100100012392100000195470.87521375801807071101688378378455813637316327725.93%11281.82%01228273644.88%1269285844.40%497111644.53%164211151685548923451
6Coachella Valley2020000027-51010000003-31010000024-200.0002351080707110718378378455881271927800.00%7271.43%01228273644.88%1269285844.40%497111644.53%164211151685548923451
7Eagles2020000068-21010000056-11010000012-100.0006101600807071106383783784558752310339222.22%50100.00%01228273644.88%1269285844.40%497111644.53%164211151685548923451
8Grand Rapids3120000067-11010000013-22110000054120.333610160080707110108837837845581053118471317.69%70100.00%01228273644.88%1269285844.40%497111644.53%164211151685548923451
9Hartford11000000413110000004130000000000021.00048120080707110458378378455830101419200.00%7185.71%01228273644.88%1269285844.40%497111644.53%164211151685548923451
10Hershey2020000037-4000000000002020000037-400.00035800807071107683783784558751435291218.33%9188.89%11228273644.88%1269285844.40%497111644.53%164211151685548923451
11Iowa211000009541010000034-11100000061520.5009162500807071106583783784558873418339333.33%9277.78%01228273644.88%1269285844.40%497111644.53%164211151685548923451
12Lehigh Valley402011001117-62010010069-32010100058-330.37511203100807071101248378378455816942696716212.50%23769.57%01228273644.88%1269285844.40%497111644.53%164211151685548923451
13Manitoba210000017611000000123-11100000053230.7507132000807071106983783784558682117405120.00%50100.00%01228273644.88%1269285844.40%497111644.53%164211151685548923451
14Ontario30200100412-81010000024-22010010028-610.16747110080707110108837837845589531176212216.67%6183.33%01228273644.88%1269285844.40%497111644.53%164211151685548923451
15Providence4220000013762200000010192020000036-340.50013223501807071101498378378455814042375412325.00%160100.00%01228273644.88%1269285844.40%497111644.53%164211151685548923451
16Rochester6410001024168320000101477321000001091100.833244266008070711020583783784558192655511222627.27%21195.24%21228273644.88%1269285844.40%497111644.53%164211151685548923451
17Rockford1010000012-1000000000001010000012-100.0001230080707110248378378455850151523400.00%50100.00%01228273644.88%1269285844.40%497111644.53%164211151685548923451
18San Diego211000007611010000023-11100000053220.5007101700807071106683783784558842028298225.00%13376.92%01228273644.88%1269285844.40%497111644.53%164211151685548923451
19San Jose40300010913-42020000024-22010001079-220.250916250080707110145837837845581294232611300.00%12283.33%01228273644.88%1269285844.40%497111644.53%164211151685548923451
20Springfield2020000028-61010000014-31010000014-300.00023500807071108183783784558802014436116.67%7271.43%01228273644.88%1269285844.40%497111644.53%164211151685548923451
21Syracuse330000001358110000004222200000093661.0001322350080707110123837837845581052232531119.09%15193.33%01228273644.88%1269285844.40%497111644.53%164211151685548923451
22Texas21001000862110000003211000100054141.00081523008070711072837837845586320153411218.18%5180.00%11228273644.88%1269285844.40%497111644.53%164211151685548923451
23Utica 4300001027918220000001541121000010125781.00027477401807071101738378378455812431395714750.00%17288.24%11228273644.88%1269285844.40%497111644.53%164211151685548923451
24Wilkes-Barre/Scranton422000001518-32110000089-12110000079-240.5001527420080707110137837837845581565754611218.33%22577.27%01228273644.88%1269285844.40%497111644.53%164211151685548923451
Total70253104334228210183512150221312010317351316021211081071710.5072283986261380707110255283783784558254574565811832865318.53%2614184.29%51228273644.88%1269285844.40%497111644.53%164211151685548923451
_Since Last GM Reset70253104334228210183512150221312010317351316021211081071710.5072283986261380707110255283783784558254574565811832865318.53%2614184.29%51228273644.88%1269285844.40%497111644.53%164211151685548923451
_Vs Conference42191403123157119382111402112905535218100101167643520.619157276433038070711015768378378455815104354376781763519.89%1692485.80%41228273644.88%1269285844.40%497111644.53%164211151685548923451
_Vs Division20107000126550159510001234201411560000031301240.60065112177018070711072783783784558719210175327771418.18%73395.89%21228273644.88%1269285844.40%497111644.53%164211151685548923451

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7071L122839862625522545745658118313
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7025314334228210
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3512152213120103
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3513162121108107
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2865318.53%2614184.29%5
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
8378378455880707110
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
1228273644.88%1269285844.40%497111644.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
164211151685548923451


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
12Rochester1Laval4WSommaire du match
316Laval6Syracuse2WSommaire du match
833Bridgeport3Laval4WXSommaire du match
1250Laval4Utica 3WXXSommaire du match
1352Laval2Rochester5LSommaire du match
1567Bridgeport3Laval2LSommaire du match
1881Laval2Providence4LSommaire du match
2194Providence1Laval5WSommaire du match
24110Bakersfield4Laval3LSommaire du match
26118Laval1Hershey3LSommaire du match
29135Abbotsford5Laval4LSommaire du match
31147Laval3Charlotte4LSommaire du match
33159San Jose2Laval1LSommaire du match
35167Laval1Eagles2LSommaire du match
37179Laval5Wilkes-Barre/Scranton4WSommaire du match
39192Wilkes-Barre/Scranton4Laval8WSommaire du match
42207Laval5Texas4WXSommaire du match
43216Coachella Valley3Laval0LSommaire du match
47232Laval3Syracuse1WSommaire du match
49242Springfield4Laval1LSommaire du match
51254Laval1Lehigh Valley5LSommaire du match
53263Manitoba3Laval2LXXSommaire du match
57285Bakersfield3Laval1LSommaire du match
59292Laval5Manitoba3WSommaire du match
62310San Diego3Laval2LSommaire du match
64321Laval4Bakersfield2WSommaire du match
66328Laval1Providence2LSommaire du match
68338Charlotte4Laval3LXXSommaire du match
71354Laval2Hershey4LSommaire du match
73366Cleveland1Laval9WSommaire du match
75379Laval8Utica 2WSommaire du match
77389Cleveland2Laval3WXSommaire du match
79406Laval5Cleveland0WSommaire du match
81414Abbotsford3Laval2LXSommaire du match
83431Laval4Cleveland5LXXSommaire du match
84439Texas2Laval3WSommaire du match
87453Laval4Lehigh Valley3WXSommaire du match
89463Laval2Ontario3LXSommaire du match
90470Providence0Laval5WSommaire du match
94490Wilkes-Barre/Scranton5Laval0LSommaire du match
97501Laval1Charlotte4LSommaire du match
99517Utica 0Laval8WSommaire du match
101525Laval5San Diego3WSommaire du match
103535Laval4Grand Rapids2WSommaire du match
104544Rochester4Laval5WXXSommaire du match
107558Laval1Springfield4LSommaire du match
108569Charlotte3Laval2LXXSommaire du match
111588Eagles6Laval5LSommaire du match
115611Laval1Grand Rapids2LSommaire du match
116616Rochester2Laval5WSommaire du match
120638Lehigh Valley3Laval2LXSommaire du match
123657Laval1Rockford2LSommaire du match
125665Iowa4Laval3LSommaire du match
128681Laval0Ontario5LSommaire du match
129689Lehigh Valley6Laval4LSommaire du match
132704Bridgeport3Laval5WSommaire du match
135720Laval2Wilkes-Barre/Scranton5LSommaire du match
137732Utica 4Laval7WSommaire du match
138743Laval6Iowa1WSommaire du match
141759Grand Rapids3Laval1LSommaire du match
143775Syracuse2Laval4WSommaire du match
144780Laval5Rochester3WSommaire du match
148793Laval2Coachella Valley4LSommaire du match
149803Laval3Rochester1WSommaire du match
151813Hartford1Laval4WSommaire du match
154828Laval2San Jose5LSommaire du match
155837San Jose2Laval1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157845Laval2Abbotsford1WSommaire du match
159857Laval5San Jose4WXXSommaire du match
161868Ontario4Laval2LSommaire du match
163882Laval-Eagles-
165892Rockford-Laval-
169911Hartford-Laval-
171918Laval-Abbotsford-
174939Hershey-Laval-
178955Grand Rapids-Laval-
179959Laval-Bridgeport-
183975Laval-Hartford-
186987Hershey-Laval-
1901004Syracuse-Laval-
1921014Laval-Hartford-
1931016Laval-Bridgeport-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance51,10425,666
Assistance PCT73.01%73.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2193 - 73.11% 128,257$4,488,989$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,521,925$ 1,730,000$ 1,730,000$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,872$ 1,445,056$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
769,541$ 33 21,692$ 715,836$




Laval 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

Laval 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

Laval 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

Laval 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

Laval 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