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Quacken
GP: 35 | W: 19 | L: 15 | OTL: 1 | P: 39
GF: 133 | GA: 126 | PP%: 28.17% | PK%: 85.71%
DG: Bobby Orr | Morale : 55 | Moyenne d’équipe : 58
Prochains matchs #390 vs Tomahawks

Centre de jeu
Quacken
19-15-1, 39pts
7
FINAL
6 Nordiks
21-12-3, 45pts
Team Stats
L1SéquenceOTL1
11-6-0Fiche domicile9-7-1
8-9-1Fiche domicile12-5-2
5-5-0Derniers 10 matchs7-1-2
3.80Buts par match 5.67
3.60Buts contre par match 4.97
28.17%Pourcentage en avantage numérique27.54%
85.71%Pourcentage en désavantage numérique72.34%
Quacken
19-15-1, 39pts
3
FINAL
5 Tomahawks
21-12-2, 44pts
Team Stats
L1SéquenceW1
11-6-0Fiche domicile11-7-0
8-9-1Fiche domicile10-5-2
5-5-0Derniers 10 matchs4-6-0
3.80Buts par match 5.23
3.60Buts contre par match 4.80
28.17%Pourcentage en avantage numérique20.22%
85.71%Pourcentage en désavantage numérique74.49%
Tomahawks
21-12-2, 44pts
Jour 78
Quacken
19-15-1, 39pts
Statistiques d’équipe
W1SéquenceL1
11-7-0Fiche domicile11-6-0
10-5-2Fiche visiteur8-9-1
4-6-010 derniers matchs5-5-0
5.23Buts par match 3.80
4.80Buts contre par match 3.80
20.22%Pourcentage en avantage numérique28.17%
74.49%Pourcentage en désavantage numérique85.71%
Quacken
19-15-1, 39pts
Jour 80
Nordiks
21-12-3, 45pts
Statistiques d’équipe
L1SéquenceOTL1
11-6-0Fiche domicile9-7-1
8-9-1Fiche visiteur12-5-2
5-5-010 derniers matchs7-1-2
3.80Buts par match 5.67
3.60Buts contre par match 5.67
28.17%Pourcentage en avantage numérique27.54%
85.71%Pourcentage en désavantage numérique72.34%
Quacken
19-15-1, 39pts
Jour 82
Wranglers
21-13-2, 44pts
Statistiques d’équipe
L1SéquenceW3
11-6-0Fiche domicile11-7-0
8-9-1Fiche visiteur10-6-2
5-5-010 derniers matchs6-4-0
3.80Buts par match 4.86
3.60Buts contre par match 4.86
28.17%Pourcentage en avantage numérique15.63%
85.71%Pourcentage en désavantage numérique72.07%
Meneurs d'équipe
Aatu RatyButs
Aatu Raty
24
Trevor ZegrasPasses
Trevor Zegras
33
Trevor ZegrasPoints
Trevor Zegras
46
Drew O'ConnorPlus/Moins
Drew O'Connor
10
Alexandar GeorgievVictoires
Alexandar Georgiev
12
Jesper WallstedtPourcentage d’arrêts
Jesper Wallstedt
0.923

Statistiques d’équipe
Buts pour
133
3.80 GFG
Tirs pour
1107
31.63 Avg
Pourcentage en avantage numérique
28.2%
20 GF
Début de zone offensive
38.5%
Buts contre
126
3.60 GAA
Tirs contre
1222
34.91 Avg
Pourcentage en désavantage numérique
85.7%%
9 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralBobby Orr
EntraîneurTodd Gill
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 50
Espoirs20


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
1Morgan FrostX100.006856857669789271746966597564650616602621,000,000$
2Drew O'ConnorXX98.00715879677675946655656269506567070650273500,000$
3Trevor ZegrasX99.006861837166807474517470597059630746502411,500,000$
4Noel AcciariX100.00805690647474896172605180507678032640341500,000$
5Aatu Raty (R)X100.00795879686965597579606959515862079620234500,000$
6Arthur KaliyevX100.00565693627662536750546254515962066580241500,000$
7Marc McLaughlin (R)X100.00705089597258525952535655506362062550261500,000$
8Nicolas Aube-KubelX100.00706669597658555650525054507067020550291500,000$
9Jani Nyman (R)X100.00535883547755545750505249516063064530214500,000$
10Bradly Nadeau (R)X100.00503589576050515450505050505159019510202500,000$
11Jett LuchankoX100.00504075576350525059505050505154020500194500,000$
12Arber XhekajX100.00857160618667826450555168556162058640241500,000$
13Jake BeanX100.00585693626868786750595469556667072620273500,000$
14Lucas CarlssonX100.00526356576756566250595166566869019580282500,000$
15Maveric Lamoureux (R)X100.00677436577352556150555263565660070570213500,000$
16Travis DermottX100.00525693547147555550524962556868057550282500,000$
17Ville HeinolaX100.00545788566550555850525163556164067550243600,000$
Rayé
1Calum RitchieX100.00505089576654525050505050505155020510204500,000$
2Quinn HutsonX100.00504353575950525050505050505658020500233750,000$
3Nick LeddyX83.185156966073726164505753695679770636203423,250,000$
MOYENNE D’ÉQUIPE99.0162567961706164615556556054626405158
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
1Alexandar Georgiev98.00688478687173717169507769690436802912,750,000$
2Jesper Wallstedt (R)100.0050615978505151505050505454061540232500,000$
Rayé
MOYENNE D’ÉQUIPE99.005973697361626161605064626205261
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Gill9980808071751CAN595500,000$


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
1Trevor ZegrasQuacken (SEA)C35133346216056108141541339.22%1077322.09471117550000392148.85%87200001.1912000252
2Jake BeanQuacken (SEA)D3583038-1040323461185513.11%6384124.0455101957000051010%000000.9000000143
3Aatu RatyQuacken (SEA)C352413378607354134369917.91%760117.1931412430000104363.92%35200021.2311000720
4Arthur KaliyevQuacken (SEA)RW35151429-900929103295514.56%679022.581239520000252051.56%6400000.7300000023
5Drew O'ConnorQuacken (SEA)LW/RW191310231000344793216613.98%751126.920337300003182056.36%5500010.9012000602
6Maveric LamoureuxQuacken (SEA)D3541923-6215108343371812.12%4674721.3621312520000450083.33%600000.6200001113
7Nick LeddyQuacken (SEA)D3461622-240124342212814.29%3975922.35011550000044200%000000.5800000112
8Morgan FrostQuacken (SEA)C139918-560154268164213.24%328722.081453240002311063.41%39900011.2500000300
9Ville HeinolaQuacken (SEA)D352161861354119268207.69%3959316.960221800001401100.00%200000.6100010200
10Travis DermottQuacken (SEA)D350111181202312218190%5264018.310112210001290025.00%400000.3400000010
11Arber XhekajQuacken (SEA)D173811-12335531523111113.04%2939022.99314727000023000%000000.5600010012
12Noel AcciariQuacken (SEA)C13279-6601917378285.41%424218.64000000002130074.29%3500000.7400000002
13Jani NymanQuacken (SEA)RW35246260115257188.00%669219.80011127000000025.81%3100000.1700000000
14Marc McLaughlinQuacken (SEA)C16235-3602471310915.38%429418.4000000000020060.00%2000000.3400000020
15Lucas CarlssonQuacken (SEA)D4011200043200%57017.520001300012000%000000.2900000000
16Nicolas Aube-KubelQuacken (SEA)RW110100000110100.00%11919.230000200000000%100001.0400000010
17Bradly NadeauQuacken (SEA)LW1000000001000%02020.030000200001000%20000000000000
Statistiques d’équipe totales ou en moyenne398104194298-151331551047082525760112.61%321827620.8019294896460000935713655.45%184300040.7235021232019
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
1Alexandar GeorgievQuacken (SEA)25121010.8893.72133920837470000.50062414000
2Joseph WollSeattle Kraken117400.9103.1762400333670111.0003110201
3Jesper WallstedtQuacken (SEA)40100.9233.161140067800000021001
Statistiques d’équipe totales ou en moyenne40191510.8983.52207820122119201193535202


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 Plafond 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
Aatu RatyQuacken (SEA)C232002-11-14FINYes190 Lbs6 ft2NoNoTrade2025-09-10NoNo42025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Alexandar GeorgievQuacken (SEA)G291996-02-10RUSNo178 Lbs6 ft1NoNoN/ANoNo12024-08-19FalseFalsePro & Farm2,750,000$275,000$157,361$No---------------------------Lien / Lien NHL
Arber XhekajQuacken (SEA)D242001-01-30CANNo240 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Arthur KaliyevQuacken (SEA)RW242001-06-26UZBNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Bradly NadeauQuacken (SEA)LW202005-05-05CANYes172 Lbs5 ft11NoNoTrade2025-07-14NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Calum RitchieQuacken (SEA)C202005-01-21CANNo185 Lbs6 ft2NoNoFree Agent2025-07-14NoNo42025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Drew O'ConnorQuacken (SEA)LW/RW271998-06-09USANo209 Lbs6 ft4NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jake BeanQuacken (SEA)D271998-06-09CANNo191 Lbs6 ft1NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jani NymanQuacken (SEA)RW212004-07-30FINYes212 Lbs6 ft2NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Jesper WallstedtQuacken (SEA)G232002-11-14SWEYes214 Lbs6 ft3NoNoTrade2025-07-14NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jett LuchankoQuacken (SEA)C192006-08-21CANNo180 Lbs5 ft11NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Lucas CarlssonQuacken (SEA)D281997-07-05SWENo190 Lbs6 ft0NoNoFree AgentNoNo22025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Marc McLaughlinQuacken (SEA)C261999-07-26USAYes202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Maveric LamoureuxQuacken (SEA)D212004-01-13CANYes196 Lbs6 ft6NoNoTrade2025-08-07NoNo32025-07-25FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Morgan FrostQuacken (SEA)C261999-05-14CANNo193 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$100,000$57,222$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nick Leddy (sur la masse salariale)Quacken (SEA)D341991-03-20USANo205 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm3,250,000$325,000$185,972$No3,250,000$--------3,250,000$--------No--------Lien / Lien NHL
Nicolas Aube-KubelQuacken (SEA)RW291996-05-10CANNo213 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Noel AcciariQuacken (SEA)C341991-12-01USANo209 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Quinn HutsonQuacken (SEA)RW232002-01-01USANo170 Lbs5 ft11NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm750,000$75,000$42,917$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Travis DermottQuacken (SEA)D281996-12-22CANNo200 Lbs6 ft0NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Trevor ZegrasQuacken (SEA)C242001-03-20USANo185 Lbs6 ft0NoNoTrade2025-07-14NoNo1FalseFalsePro & Farm1,500,000$150,000$85,833$No---------------------------Lien / Lien NHL
Ville HeinolaQuacken (SEA)D242001-03-02FINNo181 Lbs6 ft0NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm600,000$60,000$34,333$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.18197 Lbs6 ft12.27811,364$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorMorgan FrostArthur Kaliyev31005
2Bradly NadeauTrevor ZegrasNicolas Aube-Kubel31005
3Drew O'ConnorNoel AcciariJani Nyman31122
4Trevor ZegrasAatu RatyArthur Kaliyev7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Bean38131
2Lucas CarlssonMaveric Lamoureux32131
3Travis DermottVille Heinola16122
4Arber XhekajJake Bean14122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorMorgan FrostArthur Kaliyev60005
2Bradly NadeauTrevor ZegrasNicolas Aube-Kubel40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Bean60122
2Lucas CarlssonMaveric Lamoureux40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostDrew O'Connor60050
2Trevor ZegrasBradly Nadeau40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Bean60140
2Lucas CarlssonMaveric Lamoureux40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Frost60050Arber XhekajJake Bean60050
2Trevor Zegras40050Lucas CarlssonMaveric Lamoureux40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostDrew O'Connor60122
2Trevor ZegrasBradly Nadeau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajJake Bean60122
2Lucas CarlssonMaveric Lamoureux40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorMorgan FrostArthur KaliyevArber XhekajJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorMorgan FrostArthur KaliyevArber XhekajJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aatu Raty, Arthur Kaliyev, Nicolas Aube-KubelAatu Raty, Arthur KaliyevAatu Raty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maveric Lamoureux, Travis Dermott, Ville HeinolaMaveric LamoureuxMaveric Lamoureux, Travis Dermott
Tirs de pénalité
Morgan Frost, Drew O'Connor, Trevor Zegras, Noel Acciari, Aatu Raty
Gardien
#1 : Alexandar Georgiev, #2 : Jesper Wallstedt


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
1Aces2010001067-1100000104311010000024-220.5006915004243455693693284051448199277228.57%20100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
2Admirals2200000013310110000006151100000072541.000132235004243455633693284051446142286466.67%10100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
3Barons531000011917233000000157820100001410-670.70019325100424345516136932840514146341677600.00%8187.50%0627113155.44%695122156.92%30258951.27%859604800242454230
4Barracuda22000000936110000005231100000041341.000917260042434556336932840514541312344250.00%40100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
5Bruins11000000413000000000001100000041321.00048120042434553336932840514275219000%10100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
6Butter Knives11000000651000000000001100000065121.00061117004243455403693284051442158293133.33%40100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
7Canucks3120000010822020000036-31100000072520.3331018280042434558436932840514982512494125.00%6183.33%0627113155.44%695122156.92%30258951.27%859604800242454230
8Firebirds1010000036-3000000000001010000036-300.00034700424345537369328405144676222150.00%3166.67%0627113155.44%695122156.92%30258951.27%859604800242454230
9Griffins11000000532110000005320000000000021.00059140042434554536932840514441710174125.00%5180.00%0627113155.44%695122156.92%30258951.27%859604800242454230
10Ice Bats1010000036-31010000036-30000000000000.0003690042434553036932840514381191911100.00%20100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
11Lions31200000912-32110000068-21010000034-120.33391423004243455106369328405141283310731000.00%50100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
12Lynx541000001615122000000633321000001012-280.800162743004243455130369328405141473220913133.33%9188.89%0627113155.44%695122156.92%30258951.27%859604800242454230
13Nordiks10001000761000000000001000100076121.0007132000424345539369328405147417223100.00%10100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
14Roadrunners1010000013-2000000000001010000013-200.00012300424345515369328405142616819200.00%30100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
15Tomahawks303000001015-51010000057-22020000058-300.0001019290042434551003693284051414250195310220.00%7357.14%0627113155.44%695122156.92%30258951.27%859604800242454230
16Wombats10000010431100000104310000000000021.0004480042434551936932840514287216100.00%110.00%0627113155.44%695122156.92%30258951.27%859604800242454230
17Wranglers20200000813-51010000036-31010000057-200.00081523104243455733693284051488312517457.14%10100.00%0627113155.44%695122156.92%30258951.27%859604800242454230
Total3516150102113312671796000206555101879010016871-3390.5571332303631042434551107369328405141222346149647712028.17%63985.71%0627113155.44%695122156.92%30258951.27%859604800242454230
_Since Last GM Reset3516150102113312671796000206555101879010016871-3390.5571332303631042434551107369328405141222346149647712028.17%63985.71%0627113155.44%695122156.92%30258951.27%859604800242454230
_Vs Conference23812010118690-4136600010494811026010013742-5210.4578615223810424345577036932840514860250101423541324.07%41685.37%0627113155.44%695122156.92%30258951.27%859604800242454230
_Vs Division866000112621544300010121114230000114104150.93826467200424345523136932840514226734112917529.41%15193.33%0627113155.44%695122156.92%30258951.27%859604800242454230

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3539L11332303631107122234614964710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3516151021133126
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
179600206555
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187910016871
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
712028.17%63985.71%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
369328405144243455
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
627113155.44%695122156.92%30258951.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
859604800242454230


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
11Lynx2Quacken4WSommaire du match
622Quacken5Lynx4WSommaire du match
832Lynx1Quacken2WSommaire du match
1146Aces3Quacken4WXXSommaire du match
1357Quacken5Wranglers7LSommaire du match
1570Canucks4Quacken3LSommaire du match
1677Quacken0Lynx7LSommaire du match
1991Quacken4Barracuda1WSommaire du match
2095Quacken2Tomahawks3LSommaire du match
21106Lions2Quacken5WSommaire du match
25121Barons3Quacken4WSommaire du match
28136Wranglers6Quacken3LSommaire du match
30144Quacken3Barons4LXXSommaire du match
31150Quacken7Canucks2WSommaire du match
32152Quacken3Lions4LSommaire du match
34162Quacken2Aces4LSommaire du match
36175Barracuda2Quacken5WSommaire du match
41192Barons2Quacken5WSommaire du match
45209Admirals1Quacken6WSommaire du match
47224Quacken4Bruins1WSommaire du match
48231Canucks2Quacken0LSommaire du match
51246Wombats3Quacken4WXXSommaire du match
53257Quacken3Firebirds6LSommaire du match
54264Quacken1Roadrunners3LSommaire du match
55274Griffins3Quacken5WSommaire du match
58289Quacken7Admirals2WSommaire du match
60296Lions6Quacken1LSommaire du match
62311Tomahawks7Quacken5LSommaire du match
65322Quacken1Barons6LSommaire du match
67332Quacken6Butter Knives5WSommaire du match
69341Barons2Quacken6WSommaire du match
71355Ice Bats6Quacken3LSommaire du match
73362Quacken5Lynx1WSommaire du match
75374Quacken7Nordiks6WXSommaire du match
77383Quacken3Tomahawks5LSommaire du match
78390Tomahawks-Quacken-
80398Quacken-Nordiks-
82411Quacken-Wranglers-
83417Aces-Quacken-
85431Fighting Pandas-Quacken-
88441Quacken-Americiens-
90450Quacken-Barracuda-
92459Butter Knives-Quacken-
96476Quacken-Barracuda-
97481Broncos-Quacken-
100497Marlies-Quacken-
101505Quacken-Marlies-
103517Barracuda-Quacken-
106532Quacken-Lynx-
107540Nordiks-Quacken-
109551Quacken-Broncos-
111563Americiens-Quacken-
112569Quacken-Griffins-
116585Barracuda-Quacken-
119603Aces-Quacken-
122618Quacken-Wombats-
123625Lions-Quacken-
125636Quacken-Canucks-
126646Griffins-Quacken-
131665Wranglers-Quacken-
132673Quacken-Fighting Pandas-
135688Roadrunners-Quacken-
139707Wranglers-Quacken-
140714Quacken-Wranglers-
144730Ice Bats-Quacken-
146738Quacken-Canucks-
148752Nordiks-Quacken-
149759Quacken-Tomahawks-
151773Canucks-Quacken-
155791Quacken-Griffins-
156796Bruins-Quacken-
157801Quacken-Barons-
160817Bruins-Quacken-
161819Quacken-Ice Bats-
165838Lynx-Quacken-
167845Quacken-Ice Bats-
169856Quacken-Lions-
170861Quacken-Aces-
172869Firebirds-Quacken-
175883Lynx-Quacken-
176886Quacken-Aces-
178899Quacken-Lions-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5528
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
984,257$ 1,460,000$ 1,460,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,460,000$ 770,377$ 21 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 103 10,889$ 1,121,567$




Quacken 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

Quacken 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

Quacken 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

Quacken 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

Quacken 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