Please rotate your device to landscape mode for a better experience.
Connexion

Quacken
GP: 72 | W: 40 | L: 29 | OTL: 3 | P: 83
GF: 275 | GA: 265 | PP%: 29.93% | PK%: 77.70%
DG: Bobby Orr | Morale : 65 | Moyenne d’équipe : 58
Prochains matchs #817 vs Bruins

Centre de jeu
Bruins
23-43-10, 56pts
3
FINAL
5 Quacken
40-29-3, 83pts
Team Stats
L3SéquenceW2
10-22-5Fiche domicile24-13-0
13-21-5Fiche domicile16-16-3
3-6-1Derniers 10 matchs7-3-0
3.75Buts par match 3.82
4.78Buts contre par match 3.68
25.32%Pourcentage en avantage numérique29.93%
72.22%Pourcentage en désavantage numérique77.70%
Quacken
40-29-3, 83pts
2
FINAL
1 Barons
31-36-6, 68pts
Team Stats
W2SéquenceL1
24-13-0Fiche domicile17-16-4
16-16-3Fiche domicile14-20-2
7-3-0Derniers 10 matchs3-7-0
3.82Buts par match 3.60
3.68Buts contre par match 3.84
29.93%Pourcentage en avantage numérique22.01%
77.70%Pourcentage en désavantage numérique79.07%
Bruins
23-43-10, 56pts
Jour 160
Quacken
40-29-3, 83pts
Statistiques d’équipe
L3SéquenceW2
10-22-5Fiche domicile24-13-0
13-21-5Fiche visiteur16-16-3
3-6-110 derniers matchs7-3-0
3.75Buts par match 3.82
4.78Buts contre par match 3.82
25.32%Pourcentage en avantage numérique29.93%
72.22%Pourcentage en désavantage numérique77.70%
Quacken
40-29-3, 83pts
Jour 161
Ice Bats
26-35-12, 64pts
Statistiques d’équipe
W2SéquenceL1
24-13-0Fiche domicile13-19-5
16-16-3Fiche visiteur13-16-7
7-3-010 derniers matchs4-4-2
3.82Buts par match 4.16
3.68Buts contre par match 4.16
29.93%Pourcentage en avantage numérique26.28%
77.70%Pourcentage en désavantage numérique75.50%
Lynx
37-34-1, 75pts
Jour 165
Quacken
40-29-3, 83pts
Statistiques d’équipe
W3SéquenceW2
18-18-1Fiche domicile24-13-0
19-16-0Fiche visiteur16-16-3
4-6-010 derniers matchs7-3-0
4.00Buts par match 3.82
4.13Buts contre par match 3.82
29.86%Pourcentage en avantage numérique29.93%
82.67%Pourcentage en désavantage numérique77.70%
Meneurs d'équipe
Drew O'ConnorButs
Drew O'Connor
34
Jake BeanPasses
Jake Bean
58
Jake BeanPoints
Jake Bean
78
Travis DermottPlus/Moins
Travis Dermott
10
Alexandar GeorgievVictoires
Alexandar Georgiev
33
Jesper WallstedtPourcentage d’arrêts
Jesper Wallstedt
0.904

Statistiques d’équipe
Buts pour
275
3.82 GFG
Tirs pour
2247
31.21 Avg
Pourcentage en avantage numérique
29.9%
44 GF
Début de zone offensive
38.7%
Buts contre
265
3.68 GAA
Tirs contre
2455
34.10 Avg
Pourcentage en désavantage numérique
77.7%%
31 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralBobby Orr
EntraîneurTodd Gill
DivisionCentral
ConférenceWestern Conference
CapitaineOwen Power
Assistant #1Arthur Kaliyev
Assistant #2Morgan Frost


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 50
Espoirs17


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 Frost (A)X100.006856867669789272757068597566660836702621,000,000$
2Drew O'ConnorXX100.00725879677675946855686469506668084650273500,000$
3Noel AcciariX100.00805690647474896273615279507879059640341500,000$
4Arthur Kaliyev (A)X100.00565693637762536750556353516163084580241500,000$
5Marc McLaughlin (R)X100.00705089597258525952545654506363080550261500,000$
6Nicolas Aube-KubelX100.00716670597658555650535053507168038550291500,000$
7Jani Nyman (R)X100.00535884557855545750505348516264082530214500,000$
8Calum RitchieX100.00505089576654525050505050505155032510214500,000$
9Bradly Nadeau (R)X100.00493590586150515350505049505260040510202500,000$
10Jett LuchankoX100.00504075576350525059505050505154031500194500,000$
11Owen Power (C)X100.006158897082789275507456705656620836702321,500,000$
12Jake BeanX100.00585693626868786850595469556868086620273500,000$
13Nick LeddyX100.005056966073726166505954695680780816203423,250,000$
14Lucas CarlssonX100.00526357576756566350605466567070037580282500,000$
15Maveric Lamoureux (R)X100.00687436587452556250565462565761073570223500,000$
16Ville HeinolaX100.00545789566550555850535063556265068560253600,000$
17Travis DermottX100.00515694547147555550525062556969065550292500,000$
Rayé
1Quinn HutsonX100.00504353575950525050505050505658019500243750,000$
MOYENNE D’ÉQUIPE100.0059558161716064615457546054636506358
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 Georgiev100.00688478687173717068507770700386803012,750,000$
2Jesper Wallstedt (R)100.0050615978505151505050505454083540232500,000$
Rayé
MOYENNE D’ÉQUIPE100.005973697361626160595064626206161
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
1Jake BeanQuacken (SEA)D72205878-118070751334210115.04%126172523.9791322511170110116310%000010.9000000458
2Drew O'ConnorQuacken (SEA)LW/RW5634407463201181412797522812.19%23150326.85291118821015676354.23%14200020.98120001135
3Trevor ZegrasSeattle KrakenC482544693180781511978417912.69%15110322.99591421810000533248.39%117800021.2512000652
4Morgan FrostQuacken (SEA)C50312960-4140591682154515014.42%12103420.6931215198401131032563.63%132800031.1600000913
5Arthur KaliyevQuacken (SEA)RW72252651-24024622046012112.25%14154221.42448231100000302047.97%12300000.6600000126
6Nick LeddyQuacken (SEA)D5673744-110029767335439.59%75127722.810331379000069200%100000.6900000144
7Noel AcciariQuacken (SEA)C50142438-1118079114177541427.91%1695719.1543710320004294061.75%83400010.7900000343
8Maveric LamoureuxQuacken (SEA)D63112738-194551915162133517.74%74128520.4062824900000771056.25%1600000.5900001333
9Ville HeinolaQuacken (SEA)D4822123215547283210266.25%5779916.6502221000001801100.00%300000.5800010200
10Lucas CarlssonQuacken (SEA)D416162218036334893212.50%4981319.840441654000149000%000000.5400000030
11Jani NymanQuacken (SEA)RW7291120260222672215012.50%7131018.20011132000051041.57%8900000.3100000110
12Arber XhekajSeattle KrakenD2851520-16475982938182913.16%5064222.964261248000039000%000000.6200010023
13Travis DermottQuacken (SEA)D6111819101403326329223.13%74104217.080112270001520025.00%400000.3600000012
14Marc McLaughlinQuacken (SEA)C3861117-6120465457204310.53%871718.89011090001120051.96%40800000.4700000022
15Nicolas Aube-KubelQuacken (SEA)RW3831316-610073205420465.56%677620.440003590002180053.85%5200000.4100000011
16Owen PowerQuacken (SEA)D726826014591922.22%917024.3611247000016100%000000.9400000101
17Bradly NadeauQuacken (SEA)LW38347-12012162581912.00%780221.120001540000423044.19%4300000.1700000010
18Jett LuchankoQuacken (SEA)C9044-4201143220%417719.6900001000000064.29%4200000.4500000000
19Calum RitchieQuacken (SEA)C1303310011510020%21259.6800000000000044.26%12200000.4800000000
20Quinn HutsonQuacken (SEA)RW6112-2203330133.33%0559.240000000000000%100000.7200000000
Statistiques d’équipe totales ou en moyenne866205408613-5627315104410971723526128011.90%6281786420.63386710522098412317806281256.00%438600090.6924021423843
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)62332330.8893.72342210021219100020.50066114032
2Joseph WollSeattle Kraken117400.9103.1762400333670111.0003110201
3Jesper WallstedtQuacken (SEA)90200.9043.24259001414600000058001
Statistiques d’équipe totales ou en moyenne82402930.8933.614306100259242301397272234


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
Alexandar GeorgievQuacken (SEA)G301996-02-10RUSNo178 Lbs6 ft1NoNoN/ANoNo12024-08-19FalseFalsePro & Farm2,750,000$275,000$32,083$No---------------------------Lien / Lien NHL
Arthur KaliyevQuacken (SEA)RW242001-06-26UZBNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Lien / Lien NHL
Bradly NadeauQuacken (SEA)LW202005-05-05CANYes172 Lbs5 ft11NoNoTrade2025-07-14NoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Calum RitchieQuacken (SEA)C212005-01-21CANNo185 Lbs6 ft2NoNoFree Agent2025-07-14NoNo42025-07-25FalseFalsePro & Farm500,000$50,000$5,833$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$5,833$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$5,833$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$5,833$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$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jett LuchankoQuacken (SEA)C192006-08-21CANNo180 Lbs5 ft11NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$5,833$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$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Marc McLaughlinQuacken (SEA)C261999-07-26USAYes202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Lien / Lien NHL
Maveric LamoureuxQuacken (SEA)D222004-01-13CANYes196 Lbs6 ft6NoNoTrade2025-08-07NoNo32025-07-25FalseFalsePro & Farm500,000$50,000$5,833$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$11,667$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Nick LeddyQuacken (SEA)D341991-03-20USANo205 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-23FalseFalsePro & Farm3,250,000$325,000$37,917$No3,250,000$--------3,250,000$--------No--------Lien / Lien NHL
Nicolas Aube-KubelQuacken (SEA)RW291996-05-10CANNo213 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Lien / Lien NHL
Noel AcciariQuacken (SEA)C341991-12-01USANo209 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Lien / Lien NHL
Owen PowerQuacken (SEA)D232002-11-22CANNo226 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,500,000$175,000$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Quinn HutsonQuacken (SEA)RW242002-01-01USANo170 Lbs5 ft11NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm750,000$75,000$8,750$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Travis DermottQuacken (SEA)D291996-12-22CANNo200 Lbs6 ft0NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ville HeinolaQuacken (SEA)D252001-03-02FINNo181 Lbs6 ft0NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm600,000$60,000$7,000$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.60197 Lbs6 ft12.30842,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorMorgan FrostArthur Kaliyev31005
2Bradly NadeauNoel AcciariNicolas Aube-Kubel31005
3Noel AcciariMarc McLaughlinJani Nyman31005
4Drew O'ConnorCalum RitchieArthur Kaliyev7005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJake Bean38005
2Nick LeddyLucas Carlsson32005
3Maveric LamoureuxVille Heinola16005
4Travis DermottOwen Power14005
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorMorgan FrostArthur Kaliyev60005
2Bradly NadeauNoel AcciariNicolas Aube-Kubel40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJake Bean60005
2Nick LeddyLucas Carlsson40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostDrew O'Connor60050
2Noel AcciariBradly Nadeau40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJake Bean60140
2Nick LeddyLucas Carlsson40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Frost60050Owen PowerJake Bean60050
2Noel Acciari40050Nick LeddyLucas Carlsson40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostDrew O'Connor60005
2Noel AcciariBradly Nadeau40005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerJake Bean60005
2Nick LeddyLucas Carlsson40005
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorMorgan FrostArthur KaliyevOwen PowerJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorMorgan FrostArthur KaliyevOwen PowerJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Aube-Kubel, Marc McLaughlin, Jani NymanNicolas Aube-Kubel, Marc McLaughlinNicolas Aube-Kubel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maveric Lamoureux, Ville Heinola, Travis DermottMaveric LamoureuxMaveric Lamoureux, Ville Heinola
Tirs de pénalité
Morgan Frost, Drew O'Connor, Noel Acciari, Arthur Kaliyev, Nicolas Aube-Kubel
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
1Aces4010201011101300020109631010000024-260.750111728009583871211970868582934842415638225.00%5260.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
2Admirals2200000013310110000006151100000072541.0001322350095838712637086858293446142286466.67%10100.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
3Americiens20101000710-31010000026-41000100054120.5007111800958387128970868582934851812524125.00%6266.67%01311233756.10%1401244857.23%706125556.25%179012631626493932476
4Barons641000012118333000000157831100001611-590.750213556009583871217670868582934168462290600.00%11281.82%01311233756.10%1401244857.23%706125556.25%179012631626493932476
5Barracuda6420000024186321000001284321000001210280.66724446800958387122027086858293416148329714428.57%14285.71%01311233756.10%1401244857.23%706125556.25%179012631626493932476
6Broncos211000008621010000024-21100000062420.50081321009583871256708685829344315224200.00%10100.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
7Bruins22000000945110000005321100000041341.000916250095838712557086858293450151038300.00%5260.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
8Butter Knives211000001112-11010000057-21100000065120.50011193010958387128870868582934852412475120.00%60100.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
9Canucks632010002216631200000810-232001000146880.6672241630095838712147708685829341824228986350.00%12283.33%01311233756.10%1401244857.23%706125556.25%179012631626493932476
10Fighting Pandas2110000047-3110000003121010000016-520.50046100095838712417086858293447101430300.00%6266.67%01311233756.10%1401244857.23%706125556.25%179012631626493932476
11Firebirds1010000036-3000000000001010000036-300.000347009583871237708685829344676222150.00%3166.67%01311233756.10%1401244857.23%706125556.25%179012631626493932476
12Griffins42200000181442200000012572020000069-340.50018325000958387121687086858293419259167112433.33%8275.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
13Ice Bats20101000810-220101000810-20000000000020.5008152300958387126470868582934822815333266.67%5180.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
14Lions422000001315-2321000001011-11010000034-140.50013213400958387121357086858293416643148615213.33%70100.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
15Lynx641001002020022000000633421001001417-390.75020355500958387121587086858293418042281053133.33%13376.92%01311233756.10%1401244857.23%706125556.25%179012631626493932476
16Marlies2020000069-31010000056-11010000013-200.000611170095838712527086858293449122497342.86%110.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
17Nordiks42101000231852110000099021001000149560.7502343661095838712144708685829342045012824250.00%6183.33%01311233756.10%1401244857.23%706125556.25%179012631626493932476
18Roadrunners21100000862110000007341010000013-220.5008142200958387124970868582934462212415120.00%5180.00%01311233756.10%1401244857.23%706125556.25%179012631626493932476
19Tomahawks513010002023-3201010001011-1312000001012-240.400203959009583871216370868582934232833510414642.86%14378.57%11311233756.10%1401244857.23%706125556.25%179012631626493932476
20Wombats20100010611-5100000104311010000028-620.50068140095838712497086858293472246304125.00%3233.33%01311233756.10%1401244857.23%706125556.25%179012631626493932476
21Wranglers604011002029-930201000711-4302001001318-530.250203656109583871219270868582934235571411221628.57%7271.43%01311233756.10%1401244857.23%706125556.25%179012631626493932476
Total7230290822127526510371713050201451252035131603201130140-10830.5762754827573095838712224770868582934245568330913021474429.93%1393177.70%11311233756.10%1401244857.23%706125556.25%179012631626493932476
_Since Last GM Reset7230290822127526510371713050201451252035131603201130140-10830.5762754827573095838712224770868582934245568330913021474429.93%1393177.70%11311233756.10%1401244857.23%706125556.25%179012631626493932476
_Vs Conference4718190711118017192611905010100881221710021018083-3540.574180323503209583871215107086858293417064802038361033130.10%891780.90%11311233756.10%1401244857.23%706125556.25%179012631626493932476
_Vs Division18111004111655015106503010362798550110129236340.9446511618100958387125177086858293447313687299331030.30%36780.56%01311233756.10%1401244857.23%706125556.25%179012631626493932476

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7283W227548275722472455683309130230
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7230298221275265
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3717135020145125
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3513163201130140
Derniers 10 matchs
WLOTWOTL SOWSOL
433000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1474429.93%1393177.70%1
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
7086858293495838712
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
1311233756.10%1401244857.23%706125556.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
179012631626493932476


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
78390Tomahawks4Quacken5WXSommaire du match
80398Quacken7Nordiks3WSommaire du match
82411Quacken5Wranglers6LXSommaire du match
83417Aces2Quacken3WXSommaire du match
85431Fighting Pandas1Quacken3WSommaire du match
88441Quacken5Americiens4WXSommaire du match
90450Quacken4Barracuda2WSommaire du match
92459Butter Knives7Quacken5LSommaire du match
96476Quacken4Barracuda7LSommaire du match
97481Broncos4Quacken2LSommaire du match
100497Marlies6Quacken5LSommaire du match
101505Quacken1Marlies3LSommaire du match
103517Barracuda2Quacken5WSommaire du match
106532Quacken4Lynx5LXSommaire du match
107540Nordiks4Quacken6WSommaire du match
109551Quacken6Broncos2WSommaire du match
111563Americiens6Quacken2LSommaire du match
112569Quacken3Griffins4LSommaire du match
116585Barracuda4Quacken2LSommaire du match
119603Aces1Quacken2WXSommaire du match
122618Quacken2Wombats8LSommaire du match
123625Lions3Quacken4WSommaire du match
125636Quacken5Canucks3WSommaire du match
126646Griffins2Quacken7WSommaire du match
131665Wranglers3Quacken1LSommaire du match
132673Quacken1Fighting Pandas6LSommaire du match
135688Roadrunners3Quacken7WSommaire du match
139707Wranglers2Quacken3WXSommaire du match
140714Quacken3Wranglers5LSommaire du match
144730Ice Bats4Quacken5WXSommaire du match
146738Quacken2Canucks1WXSommaire du match
148752Nordiks5Quacken3LSommaire du match
149759Quacken5Tomahawks4WSommaire du match
151773Canucks4Quacken5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155791Quacken3Griffins5LSommaire du match
156796Bruins3Quacken5WSommaire du match
157801Quacken2Barons1WSommaire du match
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
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,063,682$ 3,035,000$ 3,035,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,035,000$ 1,622,030$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 21 19,639$ 412,419$




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