Connexion

Husky
GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 4 | GA: 6 | PP%: 18.75% | PK%: 100.00%
DG: René-Karl Poirier | Morale : 90 | Moyenne d’équipe : 59
Prochains matchs #55 vs Thugs
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Husky
1-2-0, 2pts
1
FINAL
2 CoolFm
2-1-0, 4pts
Team Stats
L2SéquenceL1
1-0-0Fiche domicile1-0-0
0-2-0Fiche domicile1-1-0
1-2-0Derniers 10 matchs2-1-0
1.33Buts par match 2.00
2.00Buts contre par match 2.33
18.75%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique88.89%
Husky
1-2-0, 2pts
0
FINAL
2 Spartans
3-0-0, 6pts
Team Stats
L2SéquenceW2
1-0-0Fiche domicile2-0-0
0-2-0Fiche domicile1-0-0
1-2-0Derniers 10 matchs3-0-0
1.33Buts par match 2.67
2.00Buts contre par match 0.67
18.75%Pourcentage en avantage numérique12.50%
100.00%Pourcentage en désavantage numérique100.00%
Thugs
2-1-0, 4pts
Jour 5
Husky
1-2-0, 2pts
Statistiques d’équipe
L1SéquenceL2
2-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-2-0
2-1-010 derniers matchs1-2-0
3.33Buts par match 1.33
2.00Buts contre par match 1.33
25.00%Pourcentage en avantage numérique18.75%
93.33%Pourcentage en désavantage numérique100.00%
Husky
1-2-0, 2pts
Jour 6
Goons
0-1-3, 3pts
Statistiques d’équipe
L2SéquenceSOL1
1-0-0Fiche domicile0-0-1
0-2-0Fiche visiteur0-1-2
1-2-010 derniers matchs0-1-3
1.33Buts par match 1.75
2.00Buts contre par match 1.75
18.75%Pourcentage en avantage numérique5.26%
100.00%Pourcentage en désavantage numérique80.77%
Bandits
2-1-0, 4pts
Jour 7
Husky
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceL2
1-0-0Fiche domicile1-0-0
1-1-0Fiche visiteur0-2-0
2-1-010 derniers matchs1-2-0
2.00Buts par match 1.33
1.33Buts contre par match 1.33
18.18%Pourcentage en avantage numérique18.75%
100.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Parker Kelly
1
Passes
Parker Kelly
1
Points
Parker Kelly
2
Plus/Moins
Filip Chlapik
0
Victoires
Kaapo Kahkonen
1
Pourcentage d’arrêts
Kaapo Kahkonen
0.905

Statistiques d’équipe
Buts pour
4
1.33 GFG
Tirs pour
66
22.00 Avg
Pourcentage en avantage numérique
18.8%
3 GF
Début de zone offensive
39.2%
Buts contre
6
2.00 GAA
Tirs contre
63
21.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
41.4%
Informations de l'équipe

Directeur généralRené-Karl Poirier
EntraîneurJeff Blashill
DivisionDivision Est
ConférenceConference 1
Capitaine
Assistant #1Alexandre Texier
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs61


Historique d'équipe

Saison actuelle1-2-0 (2PTS)
Historique1-2-0 (0.333%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


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
1Alexandre Texier (A)X98.006245828268769461305963818884760906702521,200,000$
2Parker KellyX99.00954585816059975430505888668473090660251900,000$
3Christian DvorakX99.005745918263784057885164776988810906502841,500,000$
4Jansen HarkinsX99.00844882766850544930475056748673090570271900,000$
5MacKenzie MacEachernX100.00574595776650404730445060509077090550302800,000$
6Jayden Halbgewachs (R)X100.00504595806050404530405055508673090530271800,000$
7Semyon Der-Arguchintsev (R)X100.00504595796050404530405055508269090520242800,000$
8Nikolay GoldobinX99.00504595766250404530405055508875090520284800,000$
9Filip ChlapikX99.00504595776050404530405055508673090520271750,000$
10Alexander AlexeyevX100.00744591757557474930445368508472090620245950,000$
11Maxwell Crozier (R)X99.00644885776154404930485065508371090590242850,000$
12Austin Strand (R)X100.00504595746050404530405055508674090560271850,000$
13Nicolas MelocheX100.005045957460504045304050555086730905602711,000,000$
14Brady Keeper (R)X100.00504595766050404530405055508774090560271800,000$
15Victor MeteX99.00504595774850404530405060508573090560263850,000$
Rayé
1Alexandre Fortin (R)X100.00504595796050404530405055508673090530262800,000$
MOYENNE D’ÉQUIPE99.4459459278625548483444526256867409057
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
1Kaapo Kahkonen100.00727183917076767270707087810906602841,250,000$
2Chris Driedger100.0070506790707070707070708976090620302850,000$
Rayé
1Akira Schmid (R)100.00705366907070707070707083730906202431,025,000$
2Keith Kinkaid100.0070506085707070707070709380090620351850,000$
3Mads Sogaard (R)100.00705060897070707070707083710906202311,025,000$
MOYENNE D’ÉQUIPE100.007055678970717170707070877609063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill65656565847872CAN5111,000,000$


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
1Parker KellyHusky (MTL)RW3112-1207535733.33%66120.56101110000060037.50%800000.6500000001
2Filip ChlapikHusky (MTL)C31120000743125.00%05317.86011011000001041.67%4800000.7500000100
3Jansen HarkinsHusky (MTL)LW3011000652110%05418.120111110000000100.00%100000.3700000000
4Maxwell CrozierHusky (MTL)D3011-200813110%26321.1401121000007000%000000.3200000000
5Alexandre TexierHusky (MTL)LW3101-3001715266.67%27123.77101511000080050.00%2400000.2800000000
6Nikolay GoldobinHusky (MTL)RW3101-2001341125.00%05217.4910127000020020.00%500000.3800000000
7Christian DvorakHusky (MTL)C3011-300048180%16321.31011311000040059.32%5900000.3100000000
8Victor MeteHusky (MTL)D3011-100315010%25919.8801141200007000%000000.3400000000
9Austin StrandHusky (MTL)D3000-120731110%15217.470001300004000%00000000000000
10Nicolas MelocheHusky (MTL)D3000-100011000%25016.92000030000100100.00%10000000000000
11Jayden HalbgewachsHusky (MTL)LW3000-100032000%13712.470000200000000%10000000000000
12Alexander AlexeyevHusky (MTL)D3000-260824040%36120.3700021000004000%00000000000000
13Semyon Der-ArguchintsevHusky (MTL)C3000-200244030%24414.9700003000000043.75%320000000000000
14Brady KeeperHusky (MTL)D3000-160723120%15719.1300021200004000%00000000000000
15MacKenzie MacEachernHusky (MTL)LW3000-200463020%04715.870000500001000%30000000000000
Statistiques d’équipe totales ou en moyenne454610-2216054546216386.45%2383118.49358231290000521047.80%18200000.2400000101
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
1Kaapo KahkonenHusky (MTL)31200.9052.01179006630000030000
Statistiques d’équipe totales ou en moyenne31200.9052.0117900663000030000


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
Akira SchmidHusky (MTL)G242000-05-12CHEYes205 Lbs6 ft5NoNoAssign ManuallyNoNo32025-04-04FalseFalsePro & Farm1,025,000$988,393$0$0$No1,025,000$1,025,000$-------1,025,000$1,025,000$-------NoNo-------
Alexander AlexeyevHusky (MTL)D241999-11-15RUSNo213 Lbs6 ft4NoNoTrade2025-03-29NoNo52025-03-16FalseFalsePro & Farm950,000$916,071$0$0$No950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----
Alexandre FortinHusky (MTL)LW261997-10-12CANYes172 Lbs6 ft0NoNoTrade2025-04-02NoNo22025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No800,000$--------800,000$--------No--------
Alexandre TexierHusky (MTL)LW251999-09-13FRANo201 Lbs6 ft1NoNoN/ANoNo22025-03-16FalseFalsePro & Farm1,200,000$1,157,143$0$0$No1,200,000$--------1,200,000$--------No--------
Austin StrandHusky (MTL)D271997-02-17CANYes215 Lbs6 ft3NoNoN/ANoNo12025-03-16FalseFalsePro & Farm850,000$819,643$0$0$No---------------------------
Brady KeeperHusky (MTL)D271996-10-12CANYes197 Lbs6 ft2NoNoN/ANoNo12025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No---------------------------
Chris DriedgerHusky (MTL)G301994-05-18CANNo208 Lbs6 ft4NoNoN/ANoNo22025-03-16FalseFalsePro & Farm850,000$819,643$0$0$No850,000$--------850,000$--------No--------
Christian DvorakHusky (MTL)C281996-02-02USANo192 Lbs6 ft1NoNoN/ANoNo42025-03-16FalseFalsePro & Farm1,500,000$1,446,429$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Filip ChlapikHusky (MTL)C271997-06-03CZENo194 Lbs6 ft2NoNoN/ANoNo12025-03-16FalseFalsePro & Farm750,000$723,214$0$0$No---------------------------
Jansen HarkinsHusky (MTL)LW271997-05-23USANo197 Lbs6 ft2NoNoN/ANoNo12025-03-16FalseFalsePro & Farm900,000$867,857$0$0$No---------------------------
Jayden HalbgewachsHusky (MTL)LW271997-03-22CANYes160 Lbs5 ft8NoNoN/ANoNo12025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No---------------------------
Kaapo KahkonenHusky (MTL)G281996-08-16FINNo217 Lbs6 ft2NoNoN/ANoNo42025-03-16FalseFalsePro & Farm1,250,000$1,205,357$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------
Keith KinkaidHusky (MTL)G351989-07-04USANo195 Lbs6 ft2NoNoN/ANoNo12025-03-16FalseFalsePro & Farm850,000$819,643$0$0$No---------------------------
MacKenzie MacEachernHusky (MTL)LW301994-03-09USANo193 Lbs6 ft2NoNoN/ANoNo22025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No800,000$--------800,000$--------No--------
Mads SogaardHusky (MTL)G232000-12-13DNKYes196 Lbs6 ft7NoNoN/ANoNo12025-03-16FalseFalsePro & Farm1,025,000$988,393$0$0$No---------------------------
Maxwell CrozierHusky (MTL)D242000-04-19CANYes197 Lbs6 ft1NoNoN/ANoNo22025-03-16FalseFalsePro & Farm850,000$819,643$0$0$No850,000$--------850,000$--------No--------
Nicolas MelocheHusky (MTL)D271997-07-18CANNo211 Lbs6 ft3NoNoTrade2025-04-02NoNo12025-03-16FalseFalsePro & Farm1,000,000$964,286$0$0$No---------------------------
Nikolay GoldobinHusky (MTL)RW281995-10-07RUSNo196 Lbs5 ft11NoNoN/ANoNo42025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Parker KellyHusky (MTL)RW251999-05-14CANNo185 Lbs6 ft1NoNoN/ANoNo12025-03-16FalseFalsePro & Farm900,000$867,857$0$0$No---------------------------
Semyon Der-ArguchintsevHusky (MTL)C242000-09-15RUSYes173 Lbs5 ft10NoNoN/ANoNo22025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No800,000$--------800,000$--------No--------
Victor MeteHusky (MTL)D261998-06-07CANNo187 Lbs5 ft9NoNoN/ANoNo32025-03-16FalseFalsePro & Farm850,000$819,643$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.76195 Lbs6 ft22.10930,952$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexandre TexierChristian DvorakParker Kelly35122
2Jansen HarkinsFilip ChlapikNikolay Goldobin30122
3MacKenzie MacEachernSemyon Der-ArguchintsevJayden Halbgewachs25122
4Jayden HalbgewachsAlexandre TexierParker Kelly10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander AlexeyevMaxwell Crozier35122
2Victor MeteBrady Keeper30122
3Nicolas MelocheAustin Strand25122
4Alexander AlexeyevMaxwell Crozier10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexandre TexierChristian DvorakParker Kelly55122
2Jansen HarkinsFilip ChlapikNikolay Goldobin45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander AlexeyevMaxwell Crozier55122
2Victor MeteBrady Keeper45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre TexierParker Kelly55122
2Christian DvorakJansen Harkins45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander AlexeyevMaxwell Crozier55122
2Victor MeteBrady Keeper45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexandre Texier55122Alexander AlexeyevMaxwell Crozier55122
2Parker Kelly45122Victor MeteBrady Keeper45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre TexierParker Kelly55122
2Christian DvorakJansen Harkins45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander AlexeyevMaxwell Crozier55122
2Victor MeteBrady Keeper45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexandre TexierChristian DvorakParker KellyAlexander AlexeyevMaxwell Crozier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexandre TexierChristian DvorakParker KellyAlexander AlexeyevMaxwell Crozier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
MacKenzie MacEachern, Semyon Der-Arguchintsev, Jayden HalbgewachsMacKenzie MacEachern, Semyon Der-ArguchintsevJayden Halbgewachs
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Meloche, Austin Strand, Victor MeteNicolas MelocheAustin Strand, Victor Mete
Tirs de pénalité
Alexandre Texier, Parker Kelly, Christian Dvorak, Jansen Harkins, MacKenzie MacEachern
Gardien
#1 : Kaapo Kahkonen, #2 : Chris Driedger


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
1CoolFm1010000012-1000000000001010000012-100.0001230021101714252701662195120.00%10100.00%0407354.79%347744.16%143638.89%694871213819
2Rockets11000000321110000003210000000000021.000358002110271425270291012186233.33%60100.00%0407354.79%347744.16%143638.89%694871213819
3Spartans1010000002-2000000000001010000002-200.000000002110221425270189220500.00%10100.00%0407354.79%347744.16%143638.89%694871213819
Total3120000046-2110000003212020000014-320.33347110021106614252706325165716318.75%80100.00%0407354.79%347744.16%143638.89%694871213819
_Since Last GM Reset3120000046-2110000003212020000014-320.33347110021106614252706325165716318.75%80100.00%0407354.79%347744.16%143638.89%694871213819
_Vs Conference21100000440110000003211010000012-120.50047110021104414252704516143711327.27%70100.00%0407354.79%347744.16%143638.89%694871213819
_Vs Division1010000012-1000000000001010000012-100.0001230021101714252701662195120.00%10100.00%0407354.79%347744.16%143638.89%694871213819

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32L24711666325165700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
312000046
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000032
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000014
Derniers 10 matchs
WLOTWOTL SOWSOL
120000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16318.75%80100.00%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
14252702110
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
407354.79%347744.16%143638.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
694871213819


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
19Rockets2Husky3WSommaire du match
221Husky1CoolFm2LSommaire du match
437Husky0Spartans2LSommaire du match
555Thugs-Husky-
659Husky-Goons-
780Bandits-Husky-
889Husky-Hunters-
10110Husky-Bandits-
11120CoolFm-Husky-
12140Husky-Raptors-
13152Xpress-Husky-
15173Hunters-Husky-
17196Goons-Husky-
18206Husky-CoolFm-
19224Vandals-Husky-
20238Husky-Spartans-
21246Husky-Igloos-
23264Spartans-Husky-
25285Husky-Supreme-
26295Wolves-Husky-
27314Husky-Barracudas-
28327CoolFm-Husky-
29337Husky-Predateurs-
30359Husky-Wolves-
31368Supreme-Husky-
33390Husky-Twins-
34397Warriors-Husky-
35413Husky-Chiwawa-
36431Marlies-Husky-
38447Husky-Hunters-
39460Outlaws-Husky-
40476Husky-Marlies-
41490Twins-Husky-
43508Husky-Outlaws-
44520Rockets-Husky-
45536Husky-Goons-
47554Husky-Vandals-
48563Scorpions-Husky-
49584Husky-Bandits-
50591Goons-Husky-
52615Spartans-Husky-
54639Thugs-Husky-
55643Husky-Farmers-
56661Husky-Bayou-
57674Smirnoff Ice-Husky-
59698Husky-Igloos-
60708Husky-CoolFm-
61711Raptors-Husky-
62734Snowbirds-Husky-
64755Husky-Scorpions-
65771Vipers-Husky-
66786Husky-TigersCats-
67797Husky-Vipers-
68806Hunters-Husky-
70828Saguenéens-Husky-
71844Husky-Saguenéens-
72861Bayou-Husky-
74883Marmots-Husky-
75889Husky-Xpress-
76909Husky-Raptors-
77912Husky-Warriors-
78927TigersCats-Husky-
80954Vandals-Husky-
81962Husky-Grizzlies-
82981Bandits-Husky-
83986Husky-Xpress-
841010Chiwawa-Husky-
851016Husky-Spartans-
871034Husky-Rockets-
881052Grizzlies-Husky-
901070Husky-Thugs-
911083Predateurs-Husky-
931108Husky-Smirnoff Ice-
941114Barracudas-Husky-
961141CoolFm-Husky-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
991165Xpress-Husky-
1001177Husky-Smirnoff Ice-
1011192Husky-Marmots-
1021206Farmers-Husky-
1051229Igloos-Husky-
1071248Igloos-Husky-
1091255Husky-Snowbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance2,0001,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 3000 - 100.00% 102,000$102,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
106,451$ 1,955,000$ 1,955,000$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 70,736$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,080,000$ 108 26,384$ 2,849,472$




Husky 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
1Filip Chlapik31120007425.00%05317.86011000001041.67%00.7500
2Parker Kelly3112-1275333.33%66120.56101100000037.50%00.6500
3Nikolay Goldobin3101-2013425.00%05217.49101200000020.00%00.3800
4Christian Dvorak3011-300480%16321.31011300000059.32%00.3100
5Victor Mete3011-103150%25919.8801140000000%00.3400

Husky 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
1Kaapo Kahkonen31200.9052.011790066300000

Husky 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
Saison régulière
493120000046-2110000003212020000014-3247110021106614252706325165716318.75%80100.00%0407354.79%347744.16%143638.89%694871213819
Total Saison régulière3120000046-2110000003212020000014-3247110021106614252706325165716318.75%80100.00%0407354.79%347744.16%143638.89%694871213819
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Husky 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

Husky 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