Connexion

Seattle
GP: 3 | W: 3 | L: 0
GF: 12 | GA: 3 | PP%: 20.00% | PK%: 100.00%
DG: Yvon Bergeron | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #29 vs Cougars
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Centre de jeu
Cougars
0-3-0, 0pts
2
FINAL
4 Seattle
3-0-0, 6pts
Team Stats
L3SéquenceW3
0-1-0Fiche domicile2-0-0
0-2-0Fiche domicile1-0-0
0-3-0Derniers 10 matchs3-0-0
1.00Buts par match 4.00
4.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique20.00%
80.00%Pourcentage en désavantage numérique100.00%
Seattle
3-0-0, 6pts
3
FINAL
1 Cougars
0-3-0, 0pts
Team Stats
W3SéquenceL3
2-0-0Fiche domicile0-1-0
1-0-0Fiche domicile0-2-0
3-0-0Derniers 10 matchs0-3-0
4.00Buts par match 1.00
1.00Buts contre par match 4.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique80.00%
Seattle
3-0-0, 6pts
2024-04-27
Cougars
0-3-0, 0pts
Statistiques d’équipe
W3SéquenceL3
2-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
3-0-010 derniers matchs0-3-0
4.00Buts par match 1.00
1.00Buts contre par match 1.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique80.00%
Cougars
0-3-0, 0pts
2024-04-29
Seattle
3-0-0, 6pts
Statistiques d’équipe
L3SéquenceW3
0-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-0-0
0-3-010 derniers matchs3-0-0
1.00Buts par match 4.00
4.00Buts contre par match 4.00
0.00%Pourcentage en avantage numérique20.00%
80.00%Pourcentage en désavantage numérique100.00%
Seattle
3-0-0, 6pts
2024-05-01
Cougars
0-3-0, 0pts
Statistiques d’équipe
W3SéquenceL3
2-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
3-0-010 derniers matchs0-3-0
4.00Buts par match 1.00
1.00Buts contre par match 1.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Kale Clague
2
Passes
Alex Barre-Boulet
4
Points
Alex Barre-Boulet
5
Plus/Moins
Kale Clague
4
Victoires
Alex Nedeljkovic
3
Pourcentage d’arrêts
Alex Nedeljkovic
0.944

Statistiques d’équipe
Buts pour
12
4.00 GFG
Tirs pour
80
26.67 Avg
Pourcentage en avantage numérique
20.0%
2 GF
Début de zone offensive
41.9%
Buts contre
3
1.00 GAA
Tirs contre
54
18.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralYvon Bergeron
DivisionMid-Ouest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité6,000
Assistance5,971
Billets de saison600


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs29


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
1Rem PitlickXXX100.006647777677838074567169677369590507002512,000,000$
2Jansen HarkinsXX100.00694782748180757045636466696454050670252750,000$
3Kale ClagueX100.006147697478847269406561656864540506602431,700,000$
4Alex Barre-BouletXX100.00624564726066666964686168685450050640252759,258$
5Andreas JohnssonXX100.006443676966717067456760656662530506402712,000,000$
6Brett MurrayX100.00686064627365656443626160625250050610242775,000$
7Henrik BorgstromX100.00624374657070706349605758615853050610252900,000$
8Nolan Foote (R)X100.00655068696763626343616062645050050610211894,167$
9Radim ZohornaXXX100.00685064607266656157605664595550050610262792,500$
10Fredrik KarlstromX100.00614572656565646256595658615350050600242700,000$
11Arshdeep Bains (R)X100.00624068686261626242625861625050050600213816,667$
12Zach BogosianX100.0074556471848390714064637168908005072N03211,000,000$
13Haydn FleuryX100.006547787286837669406161706874640506902621,000,000$
14Jakub ZborilX100.00664380748184736740636169676959050690252750,000$
15Travis DermottX100.00604378748283756840626269687464050690252800,000$
16Ryan MurrayX100.005843777182837667406360666684740506802921,000,000$
17Jeremy DaviesX100.00594757726166656540596068655450050630252750,000$
Rayé
1Roby Jarventie (R)X100.00604565666455546243605851625050050580203894,167$
2Emil Heineman (R)X100.00624068666358575840545559595050050580203897,500$
3Ilya Usau (R)X100.00614069666260615951585459595050050580213897,500$
4Simon Lundmark (R)X100.00644572686662626240585466625050050620213850,833$
5Olli JuoleviX100.00554371676767626140595459615550050600241750,000$
6Brendan GuhleX100.00717376777352564425323863375959050580252650,000$
7Markus NutivaaraX100.00524365616565615640535353567562050580281675,000$
MOYENNE D’ÉQUIPE100.0063477069717067644460586363615605063
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
1Alex Nedeljkovic100.00838281838281767980827977700507402622,800,000$
2Ukko-Pekka Luukkonen100.00777677878278757676787557520507102342,200,000$
Rayé
1Spencer Martin100.0079787976817673737580747165050700271750,000$
MOYENNE D’ÉQUIPE100.008079798282787576778076686205072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Barre-BouletSeattle (SEA)LW/RW314540073411025.00%15719.3010119000000040.00%500001.7300000100
2Jansen HarkinsSeattle (SEA)C/LW31342005998611.11%06822.7301118000081050.00%200001.1700000011
3Kale ClagueSeattle (SEA)LW321340022117218.18%06321.2301109000040166.67%600000.9400000010
4Jakub ZborilSeattle (SEA)D31233202443225.00%47023.6301131000006000%000000.8500000100
5Andreas JohnssonSeattle (SEA)LW/RW31122202211279.09%05919.7410138000040050.00%400000.6800000001
6Henrik BorgstromSeattle (SEA)C31121003320250.00%14314.4300000000010064.86%3700000.9200000000
7Haydn FleurySeattle (SEA)D31123201142425.00%26120.4600021000005000%000000.6500000000
8Ryan MurraySeattle (SEA)D3022400113010%35819.610001600002000%000000.6800000010
9Jeremy DaviesSeattle (SEA)D311238050100100.00%54314.440000000002100%000000.9200000001
10Travis DermottSeattle (SEA)D3022100313410%06722.510111700006000%000000.5900000000
11Rem PitlickSeattle (SEA)C/LW/RW31122202614397.14%17023.5200028000071068.12%6900000.5700000000
12Arshdeep BainsSeattle (SEA)LW32021001042150.00%03511.780000000000000%200001.1300000000
13Brett MurraySeattle (SEA)LW1011000101010%01313.370000000001000%100001.5000000000
14Radim ZohornaSeattle (SEA)C/LW/RW3011400444220%15719.2300008000000054.55%5500000.3500000000
15Simon LundmarkSeattle (SEA)D2011100610000%32713.560000000000000%000000.7400000000
16Fredrik KarlstromSeattle (SEA)C1000000200000%055.7300000000000075.00%40000000000000
17Zach BogosianSeattle (SEA)D1000-120001120%02222.080000000003000%00000000000000
18Olli JuoleviSeattle (SEA)D2000000000000%084.390000000000000%00000000000000
19Nolan FooteSeattle (SEA)LW3000100424030%04615.49000000000000100.00%10000000000000
20Roby JarventieSeattle (SEA)LW2000000000000%010.780000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne5112223435180513980355315.00%2188217.3124614890000553161.29%18600000.7700000233
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
1Alex NedeljkovicSeattle (SEA)33000.9441.00180013540000030100
Statistiques d’équipe totales ou en moyenne33000.9441.0018001354000030100


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Alex Barre-BouletSeattle (SEA)LW/RW251997-05-21No181 Lbs5 ft10NoNoYesNo2Pro & Farm759,258$379,629$0$0$No759,258$Lien
Alex NedeljkovicSeattle (SEA)G261996-01-07No208 Lbs6 ft0NoNoYesNo2Pro & Farm2,800,000$1,400,000$0$0$No2,800,000$Lien
Andreas Johnsson (contrat à 1 volet)Seattle (SEA)LW/RW271994-11-21No194 Lbs5 ft10NoNoYesNo1Pro & Farm2,000,000$1,000,000$1,100,000$550,000$NoLien
Arshdeep BainsSeattle (SEA)LW212001-01-09Yes183 Lbs6 ft1NoNoNoNo3Pro & Farm816,667$408,334$0$0$No816,667$816,667$
Brendan GuhleSeattle (SEA)D251997-07-29No197 Lbs6 ft2NoNoYesNo2Pro & Farm650,000$325,000$0$0$No650,000$Lien
Brett MurraySeattle (SEA)LW241998-07-20No227 Lbs6 ft5NoNoYesNo2Pro & Farm775,000$387,500$0$0$No775,000$Lien
Emil HeinemanSeattle (SEA)LW202001-11-16Yes185 Lbs6 ft1NoNoNoNo3Pro & Farm897,500$448,750$0$0$No897,500$897,500$
Fredrik KarlstromSeattle (SEA)C241998-01-12No194 Lbs6 ft3NoNoYesNo2Pro & Farm700,000$350,000$0$0$No700,000$Lien
Haydn FleurySeattle (SEA)D261996-07-08No208 Lbs6 ft4NoNoYesNo2Pro & Farm1,000,000$500,000$0$0$No1,000,000$Lien
Henrik BorgstromSeattle (SEA)C251997-08-06No198 Lbs6 ft3NoNoYesNo2Pro & Farm900,000$450,000$0$0$No900,000$Lien
Ilya UsauSeattle (SEA)C212001-08-03Yes183 Lbs6 ft1NoNoNoNo3Pro & Farm897,500$448,750$0$0$No897,500$897,500$
Jakub ZborilSeattle (SEA)D251997-02-21No201 Lbs6 ft1NoNoYesNo2Pro & Farm750,000$375,000$0$0$No750,000$Lien
Jansen HarkinsSeattle (SEA)C/LW251997-05-23No197 Lbs6 ft2NoNoYesNo2Pro & Farm750,000$375,000$0$0$No750,000$Lien
Jeremy DaviesSeattle (SEA)D251996-12-04No181 Lbs5 ft11NoNoYesNo2Pro & Farm750,000$375,000$0$0$No750,000$Lien
Kale ClagueSeattle (SEA)LW241998-06-05No190 Lbs6 ft0NoNoYesNo3Pro & Farm1,700,000$850,000$0$0$No1,700,000$1,700,000$Lien
Markus Nutivaara (contrat à 1 volet)Seattle (SEA)D281994-06-06No187 Lbs6 ft1NoNoYesNo1Pro & Farm675,000$337,500$0$0$NoLien
Nolan FooteSeattle (SEA)LW212000-11-29Yes196 Lbs6 ft3NoNoNoNo1Pro & Farm894,167$447,084$0$0$NoLien
Olli JuoleviSeattle (SEA)D241998-05-05No183 Lbs6 ft2NoNoYesNo1Pro & Farm750,000$375,000$0$0$NoLien
Radim ZohornaSeattle (SEA)C/LW/RW261996-04-29No220 Lbs6 ft6NoNoYesNo2Pro & Farm792,500$396,250$0$0$No792,500$Lien
Rem PitlickSeattle (SEA)C/LW/RW251997-04-02No186 Lbs5 ft11NoNoYesNo1Pro & Farm2,000,000$1,000,000$0$0$NoLien
Roby JarventieSeattle (SEA)LW202002-08-08Yes183 Lbs6 ft2NoNoNoNo3Pro & Farm894,167$447,084$0$0$No894,167$894,167$Lien
Ryan Murray (contrat à 1 volet)Seattle (SEA)D291993-09-27No206 Lbs6 ft1NoNoYesNo2Pro & Farm1,000,000$500,000$100,000$50,000$No1,000,000$Lien
Simon LundmarkSeattle (SEA)D212000-10-08Yes201 Lbs6 ft2NoNoNoNo3Pro & Farm850,833$425,416$0$0$No850,833$850,833$Lien
Spencer Martin (contrat à 1 volet)Seattle (SEA)G271995-06-08No191 Lbs6 ft3NoNoYesNo1Pro & Farm750,000$375,000$0$0$NoLien
Travis DermottSeattle (SEA)D251996-12-22No202 Lbs6 ft0NoNoYesNo2Pro & Farm800,000$400,000$0$0$No800,000$Lien
Ukko-Pekka LuukkonenSeattle (SEA)G231999-03-09No217 Lbs6 ft5NoNoNoNo4Pro & Farm2,200,000$1,100,000$0$0$No2,200,000$2,200,000$2,200,000$Lien
Zach Bogosian (contrat à 1 volet)Seattle (SEA)D321990-07-15No222 Lbs6 ft2YesNoYesNo1Pro & Farm1,000,000$500,000$100,000$50,000$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.59197 Lbs6 ft22.041,064,911$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jansen HarkinsRem PitlickAndreas Johnsson40122
2Kale ClagueRadim ZohornaAlex Barre-Boulet30122
3Brett MurrayHenrik BorgstromNolan Foote20122
4Nolan FooteFredrik KarlstromRem Pitlick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianTravis Dermott40122
2Jakub ZborilHaydn Fleury30122
3Ryan MurrayJeremy Davies20122
4Zach BogosianTravis Dermott10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jansen HarkinsRem PitlickAndreas Johnsson60122
2Kale ClagueRadim ZohornaAlex Barre-Boulet40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianTravis Dermott60122
2Jakub ZborilHaydn Fleury40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rem PitlickJansen Harkins60122
2Kale ClagueAndreas Johnsson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianTravis Dermott60122
2Jakub ZborilHaydn Fleury40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rem Pitlick60122Zach BogosianTravis Dermott60122
2Jansen Harkins40122Jakub ZborilHaydn Fleury40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rem PitlickJansen Harkins60122
2Kale ClagueAndreas Johnsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach BogosianTravis Dermott60122
2Jakub ZborilHaydn Fleury40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsRem PitlickAndreas JohnssonZach BogosianTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsRem PitlickAndreas JohnssonZach BogosianTravis Dermott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Arshdeep Bains, Henrik Borgstrom, Brett MurrayArshdeep Bains, Henrik BorgstromBrett Murray
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Murray, Jeremy Davies, Jakub ZborilRyan MurrayJeremy Davies, Jakub Zboril
Tirs de pénalité
Rem Pitlick, Jansen Harkins, Kale Clague, Andreas Johnsson, Alex Barre-Boulet
Gardien
#1 : Alex Nedeljkovic, #2 : Ukko-Pekka Luukkonen


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
1Cougars330000001239220000009271100000031261.0001222340171408029272405421185110220.00%70100.00%0437855.13%497070.00%223857.89%836060173619
Total330000001239220000009271100000031261.0001222340171408029272405421185110220.00%70100.00%0437855.13%497070.00%223857.89%836060173619
_Since Last GM Reset330000001239220000009271100000031261.0001222340171408029272405421185110220.00%70100.00%0437855.13%497070.00%223857.89%836060173619
_Vs Conference330000001239220000009271100000031261.0001222340171408029272405421185110220.00%70100.00%0437855.13%497070.00%223857.89%836060173619

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
36W3122234805421185101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3300000123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000092
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000031
Derniers 10 matchs
WLOTWOTL SOWSOL
300000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10220.00%70100.00%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
29272407140
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
437855.13%497070.00%223857.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
836060173619


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 - 2024-04-215Cougars0Seattle5BWSommaire du match
4 - 2024-04-2313Cougars2Seattle4BWSommaire du match
6 - 2024-04-2521Seattle3Cougars1AWSommaire du match
8 - 2024-04-2729Seattle-Cougars-
10 - 2024-04-2937Cougars-Seattle-
12 - 2024-05-0145Seattle-Cougars-
14 - 2024-05-0353Cougars-Seattle-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité40002000
Prix des billets3515
Assistance7,9424,000
Assistance PCT99.28%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 5971 - 99.52% 202,782$405,564$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,332,760$ 2,332,760$ 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$ 7 0$ 0$




Seattle 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

Seattle 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

Seattle 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

Seattle 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

Seattle 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