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SalmonKing
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Kazzzz | Morale : 40 | Moyenne d’équipe : 63
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralKazzzz
DivisionDivision 6
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 250
Espoirs34


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
1Matt MartinX100.008490747179696655515959595197630406703531,500,000$
2Pierre-Edouard BellemareX100.005251906664705555795859684991660406603941,250,000$
3Kyle MacLean (R)X100.00735986686970465577626055495962040650251800,000$
4Tyler EnnisX100.006852897150605563695858524793680406503521,000,000$
5Lias AnderssonX100.00725455636760558048505050377192040620262750,000$
6Alexander TrueX100.00725083738260555535505050306549040610275775,000$
7David GustX100.00515076735660555531506050316560040610304750,000$
8Lucas CondottaX100.00655090637372305545505054306355040610275775,000$
9Rhett GardnerX100.00575090637872305543505055307056040610283750,000$
10Brennan Othmann (R)X100.00695090666474305536505052305553040600213925,000$
11Brian Halonen (R)X100.00575090636873305536505053305955040590251925,000$
12Ryan KuffnerX100.00444555736660555530505050305460040580284925,000$
13Simon EdvinssonX100.00695088718778305540555768345759040690212925,000$
14Victor MeteX100.00455255635676308543615258317295040660261735,000$
15Madison BoweyX100.00615090737360555530505057307151040640292750,000$
16Philip BrobergX100.00495090728177305535555161326158040640231925,000$
17Connor MackeyX100.00565855637781305538505065306858040630283900,000$
18Victor SoderstromX100.00565090636180305536505060306355040620231832,500$
19Matt KierstedX100.00525187736360555535565154306557040620261750,000$
20Brandon Scanlin (R)X100.00565090638376305538505050305955040610252775,000$
21Lucas CarlssonX100.00595063736560555531505050306853040610275775,000$
22Jack AhcanX100.00545090735460555530505150306354040590274750,000$
Rayé
MOYENNE D’ÉQUIPE100.0060538068696944584353535634686104063
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
1Matt Murray100.00663492758663637055755060560406803036,000,000$
2Jesper Wallstedt (R)100.0062369285718462605066535458040670222925,000$
3Jaxson Stauber100.0066306577706362605869515760040640251842,500$
Rayé
1Erik Kallgren100.0066306582585862625558526264040610284750,000$
MOYENNE D’ÉQUIPE100.006533798071676263556752586004065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Alexander TrueSalmonKing (LA )RW271997-07-17No200 Lbs6 ft5NoNoN/ANoNo52024-08-09Pro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Brandon ScanlinSalmonKing (LA )D251999-06-02Yes218 Lbs6 ft4NoNoAssign ManuallyNoNo22024-09-05Pro & Farm775,000$775,000$0$0$No775,000$--------No--------
Brennan OthmannSalmonKing (LA )C212003-01-05Yes186 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-08-08Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------
Brian HalonenSalmonKing (LA )C251999-01-11Yes207 Lbs6 ft0NoNoTrade (Prospect)NoNo12024-08-08Pro & Farm925,000$925,000$0$0$No------------------
Connor MackeySalmonKing (LA )D281996-09-12No204 Lbs6 ft3NoNoN/ANoNo3Pro & Farm900,000$900,000$0$0$No900,000$900,000$-------NoNo-------
David GustSalmonKing (LA )RW301994-02-21No177 Lbs5 ft10NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Erik KallgrenSalmonKing (LA )G281996-10-14No200 Lbs6 ft3NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Jack AhcanSalmonKing (LA )D271997-05-18No180 Lbs5 ft9NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Jaxson StauberSalmonKing (LA )G251999-04-27No174 Lbs6 ft3NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Jesper WallstedtSalmonKing (LA )G222002-11-14Yes214 Lbs6 ft3NoNoTrade (Prospect)NoNo22024-08-08Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Kyle MacLeanSalmonKing (LA )C251999-04-29Yes190 Lbs6 ft1NoNoAssign ManuallyNoNo12024-09-05Pro & Farm800,000$800,000$0$0$No------------------
Lias AnderssonSalmonKing (LA )LW261998-10-13No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Lucas CarlssonSalmonKing (LA )D271997-07-05No189 Lbs6 ft0NoNoN/ANoNo52024-08-09Pro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Lucas CondottaSalmonKing (LA )C271997-06-19No217 Lbs6 ft1NoNoN/ANoNo52024-08-09Pro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Madison BoweySalmonKing (LA )D291995-04-22No202 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Matt KierstedSalmonKing (LA )D261998-04-14No181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Matt MartinSalmonKing (LA )LW351989-05-08No215 Lbs6 ft3NoNoTrade2024-10-30NoNo3Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Matt MurraySalmonKing (LA )G301994-05-25No196 Lbs6 ft1NoNoN/ANoNo3Pro & Farm6,000,000$6,000,000$0$0$No6,000,000$6,000,000$-------NoNo-------
Philip BrobergSalmonKing (LA )D232001-06-25No212 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Pierre-Edouard BellemareSalmonKing (LA )C391985-03-06No198 Lbs5 ft11NoNoN/ANoNo4Pro & Farm1,250,000$1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------NoNoNo------
Rhett GardnerSalmonKing (LA )LW281996-02-28No210 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Ryan KuffnerSalmonKing (LA )LW281996-06-12No195 Lbs6 ft0NoNoN/ANoNo4Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$------NoNoNo------
Simon EdvinssonSalmonKing (LA )D212003-02-05No209 Lbs6 ft6NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Tyler EnnisSalmonKing (LA )RW351989-10-06No160 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$--------No--------
Victor MeteSalmonKing (LA )D261998-06-07No187 Lbs5 ft9NoNoN/ANoNo1Pro & Farm735,000$735,000$0$0$No------------------
Victor SoderstromSalmonKing (LA )D232001-02-26No184 Lbs5 ft11NoNoN/ANoNo12024-08-08Pro & Farm832,500$832,500$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.15196 Lbs6 ft12.651,067,692$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
134122
230122
326122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
134122
230122
326122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
151122
249122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
151122
249122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15112251122
24912249122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
151122
249122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
0000000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




SalmonKing 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

SalmonKing 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

SalmonKing 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

SalmonKing 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

SalmonKing 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