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Quacken
GP: 53 | W: 28 | L: 22 | OTL: 3 | P: 59
GF: 208 | GA: 198 | PP%: 29.13% | PK%: 82.18%
DG: Bobby Orr | Morale : 55 | Moyenne d’équipe : 57
Prochains matchs #585 vs Barracuda

Centre de jeu
Americiens
29-19-2, 60pts
6
FINAL
2 Quacken
28-22-3, 59pts
Team Stats
W2SéquenceL2
14-12-1Fiche domicile16-10-0
15-7-1Fiche domicile12-12-3
6-4-0Derniers 10 matchs3-6-1
4.86Buts par match 3.92
4.66Buts contre par match 3.74
22.52%Pourcentage en avantage numérique29.13%
72.36%Pourcentage en désavantage numérique82.18%
Quacken
28-22-3, 59pts
3
FINAL
4 Griffins
30-23-0, 60pts
Team Stats
L2SéquenceW3
16-10-0Fiche domicile16-10-0
12-12-3Fiche domicile14-13-0
3-6-1Derniers 10 matchs7-3-0
3.92Buts par match 5.55
3.74Buts contre par match 5.04
29.13%Pourcentage en avantage numérique21.24%
82.18%Pourcentage en désavantage numérique73.60%
Barracuda
25-23-5, 55pts
Jour 116
Quacken
28-22-3, 59pts
Statistiques d’équipe
L2SéquenceL2
14-11-1Fiche domicile16-10-0
11-12-4Fiche visiteur12-12-3
5-4-110 derniers matchs3-6-1
3.42Buts par match 3.92
3.70Buts contre par match 3.92
21.37%Pourcentage en avantage numérique29.13%
78.52%Pourcentage en désavantage numérique82.18%
Aces
35-14-4, 74pts
Jour 119
Quacken
28-22-3, 59pts
Statistiques d’équipe
L1SéquenceL2
18-8-0Fiche domicile16-10-0
17-6-4Fiche visiteur12-12-3
8-2-010 derniers matchs3-6-1
3.72Buts par match 3.92
3.06Buts contre par match 3.92
24.27%Pourcentage en avantage numérique29.13%
78.57%Pourcentage en désavantage numérique82.18%
Quacken
28-22-3, 59pts
Jour 122
Wombats
26-17-8, 60pts
Statistiques d’équipe
L2SéquenceW2
16-10-0Fiche domicile12-12-3
12-12-3Fiche visiteur14-5-5
3-6-110 derniers matchs7-3-0
3.92Buts par match 4.16
3.74Buts contre par match 4.16
29.13%Pourcentage en avantage numérique21.60%
82.18%Pourcentage en désavantage numérique87.88%
Meneurs d'équipe
Drew O'ConnorButs
Drew O'Connor
24
Jake BeanPasses
Jake Bean
44
Jake BeanPoints
Jake Bean
57
Travis DermottPlus/Moins
Travis Dermott
14
Alexandar GeorgievVictoires
Alexandar Georgiev
21
Jesper WallstedtPourcentage d’arrêts
Jesper Wallstedt
0.922

Statistiques d’équipe
Buts pour
208
3.92 GFG
Tirs pour
1731
32.66 Avg
Pourcentage en avantage numérique
29.1%
30 GF
Début de zone offensive
39.6%
Buts contre
198
3.74 GAA
Tirs contre
1819
34.32 Avg
Pourcentage en désavantage numérique
82.2%%
18 GA
Début de la zone défensive
40.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 50
Espoirs18


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)X100.006856857669789271756967597565660706602621,000,000$
2Drew O'ConnorXX100.00725879677675946755676369506567076650273500,000$
3Noel AcciariX100.00805690647474896172605180507779040640341500,000$
4Arthur KaliyevX100.00565693637762536750556354516063074580241500,000$
5Marc McLaughlin (R)X100.00705089597258525952535654506363064550261500,000$
6Nicolas Aube-KubelX100.00706669597658555650535053507168025550291500,000$
7Jani Nyman (R)X100.00535884557855545750505249516164071530214500,000$
8Calum RitchieX100.00505089576654525050505050505155021510214500,000$
9Bradly Nadeau (R)X100.00503589586150515450505050505260025510202500,000$
10Jett LuchankoX100.00504075576350525059505050505154023500194500,000$
11Quinn HutsonX100.00504353575950525050505050505658021500243750,000$
12Jake BeanX100.00585693626868786850595468556768078620273500,000$
13Nick LeddyX100.005156966073726164505753695679770636203423,250,000$
14Lucas CarlssonX100.00526357576756566350605266566970020580282500,000$
15Travis DermottX100.00525694547147555650525062556969055560292500,000$
16Ville HeinolaX100.00545788566550555850535063556264061550243600,000$
Rayé
1Maveric Lamoureux (R)X100.00677436577352556250555462565761066570223500,000$
MOYENNE D’ÉQUIPE100.0059558060705962605455545954636505057
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 Georgiev100.00688478687172707168507769690316802912,750,000$
2Jesper Wallstedt (R)100.0050615978505151505050505454072540232500,000$
Rayé
MOYENNE D’ÉQUIPE100.005973697361626161595064626205261
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 ZegrasSeattle KrakenC482544693180781511978417912.69%15110322.99591421810000533248.39%117800021.2512000652
2Jake BeanQuacken (SEA)D53134457-1440435497317713.40%90127023.9778153584000084110%000000.9000000156
3Drew O'ConnorQuacken (SEA)LW/RW37242448614071951944715212.37%1499626.9416710530004455054.55%8800020.9612000912
4Arthur KaliyevQuacken (SEA)RW53212041-3201849155479013.55%10118322.3422415770000292047.66%10700000.6900000026
5Morgan FrostQuacken (SEA)C31181937-710040112138279713.04%762720.25191011500003671164.25%84200021.1800000603
6Maveric LamoureuxQuacken (SEA)D5082129-143551514748103016.67%59104920.9951621760000640056.25%1600000.5500001133
7Nick LeddyQuacken (SEA)D3761925-140144850233012.00%4683822.67011551000046200%100000.6000000112
8Ville HeinolaQuacken (SEA)D392192161554322299226.90%4465716.870222800001501100.00%200000.6400010200
9Arber XhekajSeattle KrakenD2851520-16475982938182913.16%5064222.964261248000039000%000000.6200010023
10Noel AcciariQuacken (SEA)C3151419-7140536110231784.90%1455717.98000010002141065.13%39000000.6800000212
11Travis DermottQuacken (SEA)D4811718141403318288213.57%6185417.810112240001440025.00%400000.4200000012
12Lucas CarlssonQuacken (SEA)D223111430010172471912.50%2541518.89033727000126000%000000.6700000030
13Jani NymanQuacken (SEA)RW535712160171448153710.42%6100318.93011129000021033.93%5600000.2400000010
14Nicolas Aube-KubelQuacken (SEA)RW19279-32040103113246.45%536919.47000329000130061.90%2100000.4900000010
15Bradly NadeauQuacken (SEA)LW1914502077145137.14%439220.640001280000211039.13%2300000.2600000000
16Marc McLaughlinQuacken (SEA)C19235-66032122610177.69%536319.1300000000140049.48%9700000.2800000020
17Jett LuchankoQuacken (SEA)C3033-120432010%16120.5900000000000076.92%1300000.9700000000
Statistiques d’équipe totales ou en moyenne590141291432-3919515752749122138591611.55%4561238921.002545701466730001356417555.50%283800060.7024021282831
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)43211630.8853.8823526015213190010.50064214001
2Joseph WollSeattle Kraken117400.9103.1762400333670111.0003110201
3Jesper WallstedtQuacken (SEA)70200.9222.6018500810200000039001
Statistiques d’équipe totales ou en moyenne61282230.8923.66316160193178801295353203


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)G291996-02-10RUSNo178 Lbs6 ft1NoNoN/ANoNo12024-08-19FalseFalsePro & Farm2,750,000$275,000$100,833$No---------------------------Lien / Lien NHL
Arthur KaliyevQuacken (SEA)RW242001-06-26UZBNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Bradly NadeauQuacken (SEA)LW202005-05-05CANYes172 Lbs5 ft11NoNoTrade2025-07-14NoNo2FalseFalsePro & Farm500,000$50,000$18,333$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$18,333$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$18,333$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$18,333$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$18,333$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$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jett LuchankoQuacken (SEA)C192006-08-21CANNo180 Lbs5 ft11NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$18,333$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$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Marc McLaughlinQuacken (SEA)C261999-07-26USAYes202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Maveric LamoureuxQuacken (SEA)D222004-01-13CANYes196 Lbs6 ft6NoNoTrade2025-08-07NoNo32025-07-25FalseFalsePro & Farm500,000$50,000$18,333$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$36,667$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$119,167$No3,250,000$--------3,250,000$--------No--------Lien / Lien NHL
Nicolas Aube-KubelQuacken (SEA)RW291996-05-10CANNo213 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Noel AcciariQuacken (SEA)C341991-12-01USANo209 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Quinn HutsonQuacken (SEA)RW242002-01-01USANo170 Lbs5 ft11NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm750,000$75,000$27,500$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$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ville HeinolaQuacken (SEA)D242001-03-02FINNo181 Lbs6 ft0NoNoFree AgentNoNo32025-08-13FalseFalsePro & Farm600,000$60,000$22,000$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1925.63195 Lbs6 ft12.32807,895$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorMorgan FrostArthur Kaliyev31005
2Bradly NadeauNoel AcciariNicolas Aube-Kubel31005
3Drew O'ConnorMarc McLaughlinJani Nyman31122
4Drew O'ConnorJett LuchankoArthur Kaliyev7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Bean38131
2Nick LeddyLucas Carlsson32131
3Jake Bean16122
4Nick LeddyLucas Carlsson14122
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
1Jake Bean60122
2Nick LeddyLucas Carlsson40122
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
1Jake Bean60140
2Nick LeddyLucas Carlsson40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Frost60050Jake Bean60050
2Noel Acciari40050Nick LeddyLucas Carlsson40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostDrew O'Connor60122
2Noel AcciariBradly Nadeau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Bean60122
2Nick LeddyLucas Carlsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorMorgan FrostArthur KaliyevJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorMorgan FrostArthur KaliyevJake 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
Jake Bean, Nick Leddy, Lucas CarlssonJake BeanJake Bean, Nick Leddy
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
1Aces30101010990200010107521010000024-240.6679132200696469810254252564726642011498225.00%3166.67%01001177956.27%1039179657.85%49291653.71%13269371191361684348
2Admirals2200000013310110000006151100000072541.000132235006964698635425256472646142286466.67%10100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
3Americiens20101000710-31010000026-41000100054120.500711180069646988954252564726851812524125.00%6266.67%01001177956.27%1039179657.85%49291653.71%13269371191361684348
4Barons531000011917233000000157820100001410-670.70019325100696469816154252564726146341677600.00%8187.50%01001177956.27%1039179657.85%49291653.71%13269371191361684348
5Barracuda5410000022148220000001046321000001210280.8002241630069646981735425256472613442329112433.33%14285.71%01001177956.27%1039179657.85%49291653.71%13269371191361684348
6Broncos211000008621010000024-21100000062420.5008132100696469856542525647264315224200.00%10100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
7Bruins11000000413000000000001100000041321.00048120069646983354252564726275219000%10100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
8Butter Knives211000001112-11010000057-21100000065120.5001119301069646988854252564726852412475120.00%60100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
9Canucks3120000010822020000036-31100000072520.3331018280069646988454252564726982512494125.00%6183.33%01001177956.27%1039179657.85%49291653.71%13269371191361684348
10Fighting Pandas11000000312110000003120000000000021.00034700696469818542525647262251013000%40100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
11Firebirds1010000036-3000000000001010000036-300.00034700696469837542525647264676222150.00%3166.67%01001177956.27%1039179657.85%49291653.71%13269371191361684348
12Griffins21100000871110000005321010000034-120.500815230069646988954252564726933112404125.00%6183.33%01001177956.27%1039179657.85%49291653.71%13269371191361684348
13Ice Bats1010000036-31010000036-30000000000000.0003690069646983054252564726381191911100.00%20100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
14Lions31200000912-32110000068-21010000034-120.33391423006964698106542525647261283310731000.00%50100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
15Lynx641001002020022000000633421001001417-390.7502035550069646981585425256472618042281053133.33%13376.92%01001177956.27%1039179657.85%49291653.71%13269371191361684348
16Marlies2020000069-31010000056-11010000013-200.00061117006964698525425256472649122497342.86%110.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
17Nordiks32001000201371100000064221001000149561.00020375700696469811454252564726154398613266.67%4175.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
18Roadrunners1010000013-2000000000001010000013-200.00012300696469815542525647262616819200.00%30100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
19Tomahawks403010001519-4201010001011-12020000058-320.2501529440069646981355425256472619170278512433.33%11372.73%01001177956.27%1039179657.85%49291653.71%13269371191361684348
20Wombats10000010431100000104310000000000021.0004480069646981954252564726287216100.00%110.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
21Wranglers302001001319-61010000036-3201001001013-310.167132336106964698109542525647261363846611436.36%20100.00%01001177956.27%1039179657.85%49291653.71%13269371191361684348
Total5322220422120819810261210020201019110271012022011071070590.557208361569206964698173154252564726181950822710041033029.13%1011882.18%01001177956.27%1039179657.85%49291653.71%13269371191361684348
_Since Last GM Reset5322220422120819810261210020201019110271012022011071070590.557208361569206964698173154252564726181950822710041033029.13%1011882.18%01001177956.27%1039179657.85%49291653.71%13269371191361684348
_Vs Conference321214031111281244178602010686081548011016064-4340.5311282283561069646981103542525647261182343141610711926.76%611083.61%01001177956.27%1039179657.85%49291653.71%13269371191361684348
_Vs Division1287011114234865301010201556340010122193220.9174274116006964698374542525647263221036320826726.92%26484.62%01001177956.27%1039179657.85%49291653.71%13269371191361684348

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5359L220836156917311819508227100420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5322224221208198
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
261210202010191
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2710122201107107
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1033029.13%1011882.18%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
542525647266964698
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
1001177956.27%1039179657.85%49291653.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13269371191361684348


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
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-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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
15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,438,250$ 1,535,000$ 1,535,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,535,000$ 1,121,608$ 19 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 66 11,306$ 746,196$




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