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Connexion

Hybrides
GP: 7 | W: 3 | L: 4
GF: 22 | GA: 26 | PP%: 15.63% | PK%: 82.14%
DG: Martin Gagnon | Morale : 50 | Moyenne d’équipe : 64

Centre de jeu
Hybrides
3-4-0, 6pts
3
FINAL
2 Werewolves
4-3-0, 8pts
Team Stats
L1SéquenceW1
1-3-0Fiche domicile1-2-0
2-1-0Fiche domicile3-1-0
3-4-0Derniers 10 matchs4-3-0
3.14Buts par match 3.71
3.71Buts contre par match 3.14
15.63%Pourcentage en avantage numérique17.86%
82.14%Pourcentage en désavantage numérique84.38%
Werewolves
4-3-0, 8pts
5
FINAL
4 Hybrides
3-4-0, 6pts
Team Stats
W1SéquenceL1
1-2-0Fiche domicile1-3-0
3-1-0Fiche domicile2-1-0
4-3-0Derniers 10 matchs3-4-0
3.71Buts par match 3.14
3.14Buts contre par match 3.71
17.86%Pourcentage en avantage numérique15.63%
84.38%Pourcentage en désavantage numérique82.14%
Meneurs d'équipe
Buts
Pius Suter
6
Caleb JonesPasses
Caleb Jones
5
Points
Pius Suter
7
Nathan BastianPlus/Moins
Nathan Bastian
7
David RittichVictoires
David Rittich
3
David RittichPourcentage d’arrêts
David Rittich
0.884

Statistiques d’équipe
Buts pour
22
3.14 GFG
Tirs pour
234
33.43 Avg
Pourcentage en avantage numérique
15.6%
5 GF
Début de zone offensive
34.8%
Buts contre
26
3.71 GAA
Tirs contre
249
35.57 Avg
Pourcentage en désavantage numérique
82.1%%
5 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralMartin Gagnon
EntraîneurGerard Gallant
DivisionHowe
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure25
Limite contact 58 / 80
Espoirs40


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
1Pius Suter0XX100.007144908473868080737474758063540507402823,250,000$
2Nathan Bastian0X100.00816470748582817253686671717363050700261825,000$
3A.J. Greer0XX100.00817465728376847143666569707767050690271750,000$
4Kent Johnson0XX100.006342867875827574517269667458500506902111,850,000$
5Ty Dellandrea0XX100.0073517577808277726869647171625405069X02411,400,833$
6Nicholas Robertson0X100.00684184827379737346686967756254050690231796,667$
7Connor Bedard (R)0X100.006740737572796979567573607652500506901924,450,000$
8Zach Benson (R)0X100.006840707870777073467168687353500506801921,600,000$
9Thomas Bordeleau0X100.00594375746976676763636460695650050640221925,000$
10Cole Guttman0X100.00594076736574656664626263675550050630251950,000$
11Collin Graf (R)0XX100.005740706975786064406260626451500506202221,283,333$
12Karson Kuhlman0X100.00604280686675746542595958646254050620281825,000$
13Hunter McKown0X100.00634170677168606357615661625050050610221700,000$
14Logan Morrison (R)0X100.00634070686262616342625964635050050610222950,000$
15Mike Hardman0XX100.00624271646867656343605955625350050600251800,000$
16Caleb Jones0X100.007144797479837971406863716973630507102711,350,000$
17Josh Mahura0X100.00694775767883787140696272707363050710261750,000$
18Philip Broberg0X100.006542787074716667406558716553500506602321,713,333$
19Riley Stillman0X100.006456656971747163405857666360540506402611,350,000$
20Cam Dineen (R)0X100.00564274716369666640645668645450050630262775,000$
21Markus Niemelainen0X100.00674273687369646140545467615550050630261762,500$
22Sean Day (R)0X100.00654470647266656240615467605450050630262775,000$
23Brandt Clarke (R)0X100.006142636863626064406360666450500506202121,713,333$
24Robin Salo0X100.00574272676467646340615462615350050610251800,000$
25Nikolai Knyzhov0X100.00634169636763615840555364585350050600261850,000$
Rayé
1Ben McCartney (R)0X100.00605260656462606142585455605050050580232813,333$
2Jake Wise (R)0XXX100.00584168636263626042595655595150050580242750,000$
3Robert Mastrosimone (R)0X100.00564263655863626041585557605150050580232750,000$
4Jacob Perreault (R)0X100.00604762656562606042575453605050050570222863,333$
5Aleksandr Kisakov (R)0X100.00554171665659575841545353595050050560212925,000$
MOYENNE D’ÉQUIPE100.0064457271707268664763606466575305064
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
1David Rittich0100.00838281848282808382827979720507603211,080,000$
2Cal Petersen0100.0079737367737373727375716457050670291650,000$
3Olof Lindbom (R)0100.0062565664605757545759515150050540242925,000$
Rayé
MOYENNE D’ÉQUIPE100.007570707272717070717267656005066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant95939287738950CAN601500,000$


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
1Pius SuterHybrides (LYC)C/RW761700011124392213.95%417124.491126290001281041.44%11177000.8200000200
2Ty DellandreaHybrides (LYC)C/RW724632035114218.18%0628.97101217000071040.00%5511001.9100000000
3Nathan BastianHybrides (LYC)RW7426780177188622.22%513619.47011126000001162.50%841000.8800000110
4Caleb JonesHybrides (LYC)D7156-320415101410.00%1818025.81134233000027010%0510000.6600000000
5Connor BedardHybrides (LYC)C7055-340812164150%612618.040221290001150046.21%14552000.7900000000
6Kent JohnsonHybrides (LYC)C/LW7224300501631212.50%18011.572023190002160050.00%641000.9900000010
7Nicholas RobertsonHybrides (LYC)LW7224-255712245198.33%29914.2400008000050066.67%342000.8000010001
8Riley StillmanHybrides (LYC)D7033316106107430%1114120.15011121000014000%016000.4300020000
9Josh MahuraHybrides (LYC)D7033-380987250%617825.55011233000025000%0311000.3400000000
10Cole GuttmanHybrides (LYC)C7213-5002891622.22%1578.1500000000000043.14%5110001.0500000000
11A.J. GreerHybrides (LYC)LW/RW7112-71151211168126.25%412718.20000190000190070.00%1041000.3100001000
12Philip BrobergHybrides (LYC)D70223008156030%1314420.71000121000115000%003000.2800000000
13Collin GrafHybrides (LYC)C/RW7022-655446110%28011.510000100001000%222000.5000100000
14Zach BensonHybrides (LYC)LW71122003496511.11%18011.47011124000000050.00%241000.5000000000
15Karson KuhlmanHybrides (LYC)RW7011-100346140%1537.710000000000000%110000.3700000000
16Markus NiemelainenHybrides (LYC)D7011-4604710220%59012.960000000002000%002000.2200000000
17Thomas BordeleauHybrides (LYC)C71010000261216.67%0273.9900000000000080.95%2111000.7200000000
18Logan MorrisonHybrides (LYC)C7011-260496380%27410.6200000000000028.81%5912000.2700000000
19Brandt ClarkeHybrides (LYC)D7000-580166130%110014.340000100006000%00300000000000
20Cam DineenHybrides (LYC)D7000000000000%010.220000000000000%00000000000000
21Robin SaloHybrides (LYC)D7000000000000%010.180000000000000%00000000000000
22Mike HardmanHybrides (LYC)LW/RW7000000022000%0284.070000000000000%00100000000000
23Sean DayHybrides (LYC)D7000000000000%030.540000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne161223759-208125111153234641349.40%83205012.74510152127700051873244.09%4744857000.5800131321
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
1David RittichHybrides (LYC)73400.8844.163750026225103000070011
2Cal PetersenHybrides (LYC)20001.000044000248100007000
Statistiques d’équipe totales ou en moyenne93400.8963.72419002624911110077011


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
A.J. GreerHybrides (LYC)LW/RW271996-12-14CANNo209 Lbs191 CMNoNoFree AgentNoNo12024-06-14FalseFalsePro & Farm750,000$53,571$0$0$No---------------------------
Aleksandr KisakovHybrides (LYC)LW212002-11-01RUSYes164 Lbs180 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm925,000$66,071$0$0$No925,000$--------925,000$--------No--------
Ben McCartneyHybrides (LYC)LW232001-07-13CANYes199 Lbs183 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm813,333$58,095$0$0$No813,333$--------813,333$--------No--------Lien
Brandt ClarkeHybrides (LYC)D212003-02-09CANYes187 Lbs188 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm1,713,333$122,381$0$0$No1,713,333$--------1,713,333$--------No--------
Cal PetersenHybrides (LYC)G291994-10-19USANo180 Lbs185 CMNoNoTrade2024-02-12NoNo1FalseFalsePro & Farm650,000$46,429$0$0$No---------------------------Lien NHL
Caleb JonesHybrides (LYC)D271997-06-05USANo194 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm1,350,000$96,429$0$0$No---------------------------Lien NHL
Cam DineenHybrides (LYC)D261998-06-19USAYes189 Lbs180 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm775,000$55,357$0$0$No775,000$--------775,000$--------No--------Lien
Cole GuttmanHybrides (LYC)C251999-06-04USANo167 Lbs175 CMNoNoN/ANoNo1FalseFalsePro & Farm950,000$67,857$0$0$No---------------------------
Collin GrafHybrides (LYC)C/RW222002-09-21USAYes194 Lbs185 CMNoNoDraftNoNo22024-06-26FalseFalsePro & Farm1,283,333$91,667$0$0$No1,283,333$--------1,283,333$--------No--------
Connor BedardHybrides (LYC)C192005-07-17CANYes185 Lbs178 CMNoNoFree AgentNoNo22024-06-14FalseFalsePro & Farm4,450,000$317,857$0$0$No4,450,000$--------4,450,000$--------No--------
David RittichHybrides (LYC)G321992-08-18CZENo205 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm1,080,000$77,143$0$0$No---------------------------Lien NHL
Hunter McKownHybrides (LYC)C222002-08-18USANo198 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm700,000$50,000$0$0$No---------------------------
Jacob PerreaultHybrides (LYC)RW222002-04-15CANYes196 Lbs183 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm863,333$61,667$0$0$No863,333$--------863,333$--------No--------Lien
Jake WiseHybrides (LYC)C/LW/RW242000-02-28USAYes190 Lbs180 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm750,000$53,571$0$0$No750,000$--------750,000$--------No--------Lien
Josh MahuraHybrides (LYC)D261998-05-05CANNo193 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$53,571$0$0$No---------------------------Lien NHL
Karson KuhlmanHybrides (LYC)RW281995-09-26USANo185 Lbs180 CMNoNoN/ANoNo1FalseFalsePro & Farm825,000$58,929$0$0$No---------------------------Lien NHL
Kent JohnsonHybrides (LYC)C/LW212002-10-18CANNo178 Lbs183 CMNoNoTrade2024-11-07NoNo1FalseFalsePro & Farm1,850,000$132,143$0$0$No---------------------------
Logan MorrisonHybrides (LYC)C222002-07-09CANYes179 Lbs183 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm950,000$67,857$0$0$No950,000$--------950,000$--------No--------
Markus NiemelainenHybrides (LYC)D261998-06-07FINNo203 Lbs198 CMNoNoN/ANoNo1FalseFalsePro & Farm762,500$54,464$0$0$No---------------------------
Mike HardmanHybrides (LYC)LW/RW251999-02-05USANo205 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm800,000$57,143$0$0$No---------------------------
Nathan BastianHybrides (LYC)RW261997-12-06CANNo205 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm825,000$58,929$0$0$No---------------------------Lien NHL
Nicholas RobertsonHybrides (LYC)LW232001-09-11USANo178 Lbs175 CMNoNoTrade2024-03-09NoNo1FalseFalsePro & Farm796,667$56,905$0$0$No---------------------------
Nikolai KnyzhovHybrides (LYC)D261998-03-20RUSNo200 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm850,000$60,714$0$0$No---------------------------
Olof LindbomHybrides (LYC)G242000-07-23SWEYes183 Lbs188 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm925,000$66,071$0$0$No925,000$--------925,000$--------No--------Lien
Philip BrobergHybrides (LYC)D232001-06-25SWENo203 Lbs191 CMNoNoFree Agent2024-02-28NoNo22024-06-17FalseFalsePro & Farm1,713,333$122,381$0$0$No1,713,333$--------1,713,333$--------No--------
Pius SuterHybrides (LYC)C/RW281996-05-24CHENo179 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm3,250,000$232,143$0$0$No3,250,000$--------3,250,000$--------No--------
Riley StillmanHybrides (LYC)D261998-03-09CANNo196 Lbs185 CMNoNoN/ANoNo1FalseFalsePro & Farm1,350,000$96,429$0$0$No---------------------------Lien NHL
Robert MastrosimoneHybrides (LYC)LW232001-01-24USAYes165 Lbs178 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm750,000$53,571$0$0$No750,000$--------750,000$--------No--------Lien
Robin SaloHybrides (LYC)D251998-10-13FINNo185 Lbs183 CMNoNoTrade2024-02-12NoNo1FalseFalsePro & Farm800,000$57,143$0$0$No---------------------------
Sean DayHybrides (LYC)D261998-01-09BGMYes225 Lbs191 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm775,000$55,357$0$0$No775,000$--------775,000$--------No--------Lien
Thomas BordeleauHybrides (LYC)C222002-03-01USANo175 Lbs178 CMNoNoTrade2025-01-21NoNo1FalseFalsePro & Farm925,000$66,071$0$0$No---------------------------
Ty DellandreaHybrides (LYC)C/RW242000-07-20CANNo190 Lbs188 CMNoYesTrade2025-01-21NoNo1FalseFalsePro & Farm1,400,833$100,060$0$0$No---------------------------
Zach BensonHybrides (LYC)LW192005-05-12CANYes170 Lbs178 CMNoNoProspectNoNo22024-06-14FalseFalsePro & Farm1,600,000$114,286$0$0$No1,600,000$--------1,600,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.33190 Lbs185 CM1.451,180,353$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. GreerConnor BedardPius Suter32122
2Kent JohnsonTy DellandreaNathan Bastian29122
3Nicholas RobertsonThomas BordeleauMike Hardman22122
4Zach BensonLogan MorrisonCollin Graf17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesJosh Mahura40122
2Philip BrobergRiley Stillman37122
3Brandt ClarkeMarkus Niemelainen23122
4Sean DayBrandt Clarke0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kent JohnsonConnor BedardPius Suter60122
2Zach BensonTy DellandreaNathan Bastian40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesJosh Mahura60122
2Philip BrobergRiley Stillman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pius SuterA.J. Greer60122
2Ty DellandreaKent Johnson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesJosh Mahura60122
2Philip BrobergRiley Stillman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pius Suter60122Caleb JonesJosh Mahura60122
2Ty Dellandrea40122Philip BrobergRiley Stillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pius SuterA.J. Greer60122
2Ty DellandreaKent Johnson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesJosh Mahura60122
2Philip BrobergRiley Stillman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. GreerConnor BedardPius SuterCaleb JonesJosh Mahura
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kent JohnsonTy DellandreaNathan BastianCaleb JonesJosh Mahura
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kent Johnson, Nicholas Robertson, Connor BedardKent Johnson, Nicholas RobertsonKent Johnson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandt Clarke, Robin Salo, Nikolai KnyzhovBrandt ClarkeBrandt Clarke, Robin Salo
Tirs de pénalité
Pius Suter, Nathan Bastian, A.J. Greer, Ty Dellandrea, Kent Johnson
Gardien
#1 : David Rittich, #2 : Cal Petersen, #3 : Olof Lindbom


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
1Werewolves734000002226-4413000001418-43210000088060.4292237590077802348874720249838111132515.63%28582.14%08016548.48%8119242.19%4811741.03%142781556712161
Total734000002226-4413000001418-43210000088060.4292237590077802348874720249838111132515.63%28582.14%08016548.48%8119242.19%4811741.03%142781556712161
_Since Last GM Reset734000002226-4413000001418-43210000088060.4292237590077802348874720249838111132515.63%28582.14%08016548.48%8119242.19%4811741.03%142781556712161
_Vs Conference734000002226-4413000001418-43210000088060.4292237590077802348874720249838111132515.63%28582.14%08016548.48%8119242.19%4811741.03%142781556712161

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1223759234249838111100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001418
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321000088
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
32515.63%28582.14%0
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
88747207780
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
8016548.48%8119242.19%4811741.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
142781556712161


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
1 - 2025-04-072Werewolves4Hybrides2LSommaire du match
3 - 2025-04-096Werewolves5Hybrides2LSommaire du match
5 - 2025-04-1110Hybrides3Werewolves2WSommaire du match
7 - 2025-04-1314Hybrides2Werewolves4LSommaire du match
9 - 2025-04-1518Werewolves4Hybrides6WSommaire du match
11 - 2025-04-1722Hybrides3Werewolves2WSommaire du match
13 - 2025-04-1926Werewolves5Hybrides4LSommaire du match



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 joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,895,165$ 3,895,165$ 500,000$0$
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$ 1 0$ 0$




Hybrides 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

Hybrides 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

Hybrides 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

Hybrides 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

Hybrides 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