Connexion

Killer Whales
GP: 5 | W: 1 | L: 4
GF: 11 | GA: 15 | PP%: 43.75% | PK%: 82.35%
DG: Daniel Pelchat | Morale : 1 | Moyenne d’équipe : 63
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Centre de jeu
Lighthouse
4-5-0, 8pts
2
FINAL
0 Killer Whales
1-4-0, 2pts
Team Stats
L4StreakL4
2-3-0Home Record0-2-0
2-2-0Away Record1-2-0
4-5-0Last 10 Games1-4-0
2.89Buts par match 2.20
3.33Buts contre par match 3.00
21.43%Pourcentage en avantage numérique43.75%
66.67%Pourcentage en désavantage numérique82.35%
Killer Whales
1-4-0, 2pts
3
FINAL
4 Lighthouse
4-5-0, 8pts
Team Stats
L4StreakL4
0-2-0Home Record2-3-0
1-2-0Away Record2-2-0
1-4-0Last 10 Games4-5-0
2.20Buts par match 2.89
3.00Buts contre par match 3.33
43.75%Pourcentage en avantage numérique21.43%
82.35%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Jack Johnson
2
Passes
Johnathan Kovacevic
3
Points
Johnathan Kovacevic
5
Plus/Moins
Jack Johnson
0
Victoires
Georgi Romanov
1
Pourcentage d’arrêts
Georgi Romanov
0.899

Statistiques d’équipe
Buts pour
11
2.20 GFG
Tirs pour
158
31.60 Avg
Pourcentage en avantage numérique
43.8%
7 GF
Début de zone offensive
45.1%
Buts contre
15
3.00 GAA
Tirs contre
149
29.80 Avg
Pourcentage en désavantage numérique
82.4%%
3 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralDaniel Pelchat
EntraîneurBenoit Groulx
DivisionAméricaine-Ouest
ConférenceAméricaine
CapitaineCalvin de Haan
Assistant #1Ryan Reaves
Assistant #2Vincent Desharnais


Informations de l’aréna

Capacité3,000
Assistance2,057
Billets de saison300


Informations de la formation

Équipe Pro37
Équipe Mineure21
Limite contact 58 / 60
Espoirs28


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 moyen
1Boris Katchouk0X100.0073599065827983646263676865676970356602742,100,000$
2Taylor Raddysh0X100.007137926783878964586566676368696652660273850,000$
3Alex Turcotte0X100.0065378570697776677170626266646587346502433,000,000$
4Filip Zadina0X100.0066369270728279675362686170666885586502521,000,000$
5Jesse Puljujarvi0X100.0078438767878280656462616366686985356502722,500,000$
6Ryan Reaves (A)0X100.008689766586738363565960615886772231650381850,000$
7Tanner Pearson0X100.0070428067798272665565626864787348686503233,500,000$
8Alex Barre-Boulet0X100.006236826668858464726563646668693742640283650,000$
9Max Comtois0X100.0073606466828384656264636165676869406402631,400,000$
10Nic Petan0X100.006237796564868366706763626570716033640301990,000$
11Matej Blumel0X100.0064379065758985646361666065646660526402531,508,888$
12Felix Robert0X100.006137826264828061696261606365674232620251750,000$
13Jack Johnson0X100.0071378764838890633068567949907740256703811,500,000$
14Olli Maatta0X100.0069369464829088623073617553777066306703011,500,000$
15Johnathan Kovacevic0X100.007158816494888662307061775367695634660272900,000$
16Matt Benning0X100.0073368665789077613076528650737039256603112,000,000$
17Vincent Desharnais (A)0X100.0086797463998384623067587750687041566602942,300,000$
18Calvin de Haan (C)0X100.0075358863768681593070587450797350346503421,350,000$
Rayé
1John Hayden0X100.007681696288818259635864626170715319630301975,000$
2Sam Poulin0X100.006939776379817164606162656362658120630242900,000$
3Elliot Desnoyers0X100.006936915969828557615855655662645720610232725,000$
4Brandon Coe0X100.007540835884698155565357595463656220600232500,000$
5Hunter Drew0X100.007454515979807857555658595766684720600262500,000$
6Judd Caulfield0X100.007639895385687154575556595463655520600243725,000$
7Jakub Brabenec0X100.006438905873636857615556535861636220590213750,000$
8Riley Kidney0X100.006039805869817157635654595661636820580223850,000$
9Vladislav Firstov0X100.006539775874696157595556545863657420580243850,000$
10Robert Mastrosimone0X100.005539735864816756595754525563657020570243850,000$
11Vincent Iorio0X100.007339916586758564306358605162647119640222850,000$
12Kale Clague0X100.0064397365728277643068586150666970206302721,500,000$
13Jayden Struble0X100.007146696575847463306457675163657320630233850,000$
14Corey Schueneman0X100.0062378963728285593064545848697136196202911,000,000$
15Peter DiLiberatore0X100.005537845664727054305753554664664820570252700,000$
MOYENNE D’ÉQUIPE100.00694582637781796151635964586868593163
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 moyen
1Georgi Romanov0100.007476729173727473727473657342356402521,250,000$
2Isaac Poulter0100.007378747572717372717372636943436302341,500,000$
Rayé
1Taylor Gauthier0100.00677470766665676665676664694419600243850,000$
2Zachary Emond0100.00616867766059616059616062674920560253850,000$
MOYENNE D’ÉQUIPE100.0069747180686769686769686470452961
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx77647165868164CAN5621,000,000$


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
1Johnathan KovacevicKiller Whales (LBH)D5235-34012853740.00%710821.63235311000010000.00%000000.9200000001
2Matt BenningKiller Whales (LBH)D5235-32091282325.00%610220.4022447000011000.00%000000.9800000010
3Tanner PearsonKiller Whales (LBH)LW5235-6006111651612.50%010320.672354110000100140.00%1500000.9700000010
4Alex TurcotteKiller Whales (LBH)C5123000511114149.09%09218.52011310000000054.69%12800000.6500000001
5Jack JohnsonKiller Whales (LBH)D421306081093622.22%49423.6410146000010100.00%000000.6300000000
6Alex Barre-BouletKiller Whales (LBH)C5022-30001010160.00%08116.2902216000000050.00%8800000.4900000000
7Jesse PuljujarviKiller Whales (LBH)RW520204054161912.50%27014.0300000000000066.67%300000.5700000000
8Boris KatchoukKiller Whales (LBH)LW501107583122160.00%210821.75000490000140021.43%1400000.1800001000
9Calvin de HaanKiller Whales (LBH)D5011-340256100.00%47815.710000100007000.00%000000.2500000000
10Max ComtoisKiller Whales (LBH)LW501102012315370.00%06813.7000000000000025.00%400000.2900000000
11Olli MaattaKiller Whales (LBH)D5011-240867160.00%913026.12011412000011000.00%000000.1500000000
12Taylor RaddyshKiller Whales (LBH)RW5011-20068158120.00%012625.270114100001160050.00%5000000.1600000000
13Felix RobertKiller Whales (LBH)C5000-200046120.00%1387.7700000000000046.94%4900000.00%00000000
14Filip ZadinaKiller Whales (LBH)RW5000-200113030.00%0275.57000000000500100.00%200000.00%00000000
15Nic PetanKiller Whales (LBH)C3000-300467260.00%25317.8700004000000046.27%6700000.00%00000000
16Ryan ReavesKiller Whales (LBH)RW5000-6401946370.00%09919.96000011000070040.00%500000.00%00000000
17Vincent DesharnaisKiller Whales (LBH)D5000-5751566320.00%28216.460001400001000.00%000000.00%00001000
18Matej BlumelKiller Whales (LBH)RW5000000110000.00%051.09000010000000100.00%100000.00%00000000
Statistiques d’équipe totales ou en moyenne87111930-404410121113158431226.96%39147216.93713203210800011071149.30%42600000.4100002022
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
1Georgi RomanovKiller Whales (LBH)51400.8993.0129900151490000.00%050100
Statistiques d’équipe totales ou en moyenne51400.8993.012990015149000050100


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 Plafond 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
Alex Barre-BouletKiller Whales (LBH)C281997-05-21No178 Lbs5 ft10NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$Lien
Alex TurcotteKiller Whales (LBH)C242001-02-26No185 Lbs5 ft11NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$Lien
Boris KatchoukKiller Whales (LBH)LW271998-06-18No206 Lbs6 ft2NoNoNo4Pro & Farm2,100,000$0$0$No2,100,000$2,100,000$2,100,000$Lien
Brandon CoeKiller Whales (LBH)RW232001-12-01No188 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Calvin de HaanKiller Whales (LBH)D341991-05-09No192 Lbs6 ft1NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$Lien
Corey SchuenemanKiller Whales (LBH)D291995-09-02No197 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Elliot DesnoyersKiller Whales (LBH)LW232002-01-21No183 Lbs5 ft11NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Felix RobertKiller Whales (LBH)C251999-07-24No165 Lbs5 ft8NoNoNo1Pro & Farm750,000$0$0$NoLien
Filip ZadinaKiller Whales (LBH)RW251999-11-27No190 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Georgi RomanovKiller Whales (LBH)G251999-12-15No207 Lbs6 ft5NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$Lien
Hunter DrewKiller Whales (LBH)RW261998-10-21No191 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Isaac PoulterKiller Whales (LBH)G232001-09-12No174 Lbs6 ft2NoNoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$Lien
Jack JohnsonKiller Whales (LBH)D381987-01-13No227 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$0$0$NoLien
Jakub BrabenecKiller Whales (LBH)C212003-09-11No180 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Jayden StrubleKiller Whales (LBH)D232001-09-08No202 Lbs6 ft0NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Jesse PuljujarviKiller Whales (LBH)RW271998-05-07No201 Lbs6 ft4NoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien
John HaydenKiller Whales (LBH)C301995-02-14No223 Lbs6 ft3NoNoNo1Pro & Farm975,000$0$0$NoLien
Johnathan KovacevicKiller Whales (LBH)D271997-07-12No223 Lbs6 ft5NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Judd CaulfieldKiller Whales (LBH)RW242001-03-19No207 Lbs6 ft3NoNoNo3Pro & Farm725,000$0$0$No725,000$725,000$Lien
Kale ClagueKiller Whales (LBH)D271998-06-05No190 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Matej BlumelKiller Whales (LBH)RW252000-05-31No200 Lbs6 ft0NoNoNo3Pro & Farm1,508,888$0$0$No1,508,888$1,508,888$Lien
Matt BenningKiller Whales (LBH)D311994-05-25No203 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$0$0$NoLien
Max ComtoisKiller Whales (LBH)LW261999-01-08No210 Lbs6 ft2NoNoNo3Pro & Farm1,400,000$0$0$No1,400,000$1,400,000$Lien
Nic PetanKiller Whales (LBH)C301995-03-22No175 Lbs5 ft9NoNoNo1Pro & Farm990,000$0$0$NoLien
Olli MaattaKiller Whales (LBH)D301994-08-22No207 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$NoLien
Peter DiLiberatoreKiller Whales (LBH)D252000-03-31No160 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Riley KidneyKiller Whales (LBH)C222003-03-25No181 Lbs5 ft11NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Robert MastrosimoneKiller Whales (LBH)LW242001-01-24No170 Lbs5 ft10NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Ryan ReavesKiller Whales (LBH)RW381987-01-20No226 Lbs6 ft2NoNoNo1Pro & Farm850,000$0$0$NoLien
Sam PoulinKiller Whales (LBH)RW242001-02-25No208 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Tanner Pearson (contrat à 1 volet)Killer Whales (LBH)LW321992-08-10No207 Lbs6 ft1NoNoNo3Pro & Farm3,500,000$499,999$0$No3,500,000$3,500,000$Lien
Taylor GauthierKiller Whales (LBH)G242001-02-15No195 Lbs6 ft1NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Taylor RaddyshKiller Whales (LBH)RW271998-02-18No198 Lbs6 ft3NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Vincent DesharnaisKiller Whales (LBH)D291996-05-29No226 Lbs6 ft7NoNoNo4Pro & Farm2,300,000$0$0$No2,300,000$2,300,000$2,300,000$Lien
Vincent IorioKiller Whales (LBH)D222002-11-14No200 Lbs6 ft4NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Vladislav FirstovKiller Whales (LBH)LW242001-06-19No181 Lbs6 ft1NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Zachary EmondKiller Whales (LBH)G252000-06-20No165 Lbs6 ft3NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3726.68195 Lbs6 ft12.321,233,078$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukAlex TurcotteTaylor Raddysh40122
2Tanner PearsonNic PetanRyan Reaves30122
3Max ComtoisAlex Barre-BouletJesse Puljujarvi20122
4Taylor RaddyshFelix RobertFilip Zadina10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaJack Johnson40122
2Johnathan KovacevicMatt Benning30122
3Vincent DesharnaisCalvin de Haan20122
4Olli MaattaJack Johnson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukAlex TurcotteTaylor Raddysh60122
2Tanner PearsonNic PetanRyan Reaves40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaJack Johnson60122
2Johnathan KovacevicMatt Benning40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshBoris Katchouk60122
2Tanner PearsonRyan Reaves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaJack Johnson60122
2Johnathan KovacevicMatt Benning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Olli MaattaJack Johnson60122
2Boris Katchouk40122Johnathan KovacevicMatt Benning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshBoris Katchouk60122
2Tanner PearsonRyan Reaves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaJack Johnson60122
2Johnathan KovacevicMatt Benning40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukAlex TurcotteTaylor RaddyshOlli MaattaJack Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukAlex TurcotteTaylor RaddyshOlli MaattaJack Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matej Blumel, Jesse Puljujarvi, Filip ZadinaMatej Blumel, Jesse PuljujarviFilip Zadina
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vincent Desharnais, Calvin de Haan, Johnathan KovacevicVincent DesharnaisCalvin de Haan, Johnathan Kovacevic
Tirs de pénalité
Taylor Raddysh, Boris Katchouk, Tanner Pearson, Ryan Reaves, Alex Turcotte
Gardien
#1 : Georgi Romanov, #2 : Isaac Poulter
Lignes d’attaque personnalisées en prolongation
Taylor Raddysh, Boris Katchouk, Tanner Pearson, Ryan Reaves, Alex Turcotte, Jesse Puljujarvi, Jesse Puljujarvi, Filip Zadina, Matej Blumel, Max Comtois, Nic Petan
Lignes de défense personnalisées en prolongation
Olli Maatta, Jack Johnson, Johnathan Kovacevic, Matt Benning, Vincent Desharnais


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
1Lighthouse514000001115-42020000026-43120000099020.2001119300037101584266500149394412116743.75%17382.35%08819245.83%8416550.91%386955.07%12890109346230
Total514000001115-42020000026-43120000099020.2001119300037101584266500149394412116743.75%17382.35%08819245.83%8416550.91%386955.07%12890109346230
_Since Last GM Reset514000001115-42020000026-43120000099020.2001119300037101584266500149394412116743.75%17382.35%08819245.83%8416550.91%386955.07%12890109346230
_Vs Conference514000001115-42020000026-43120000099020.2001119300037101584266500149394412116743.75%17382.35%08819245.83%8416550.91%386955.07%12890109346230

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L4111930158149394412100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000026
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
312000099
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
16743.75%17382.35%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
42665003710
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
8819245.83%8416550.91%386955.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12890109346230


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 - 2024-10-115Killer Whales3Lighthouse1AWSommaire du match
4 - 2024-10-1313Killer Whales3Lighthouse4ALSommaire du match
6 - 2024-10-1521Lighthouse4Killer Whales2BLSommaire du match
8 - 2024-10-1729Lighthouse2Killer Whales0BLSommaire du match
10 - 2024-10-1937Killer Whales3Lighthouse4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets12580
Assistance2,5311,582
Assistance PCT63.28%79.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2057 - 68.55% 321,128$642,256$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,212,389$ 4,212,389$ 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$ 0 0$ 0$




Killer Whales Leaders statistiques (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

Killer Whales 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

Killer Whales 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

Killer Whales Leaders statistiques (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

Killer Whales 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