Crunch
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Kéven St-Amand | Morale : 1 | Moyenne d'Équipe : 62
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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
1Pontus Aberg (R)X100.0070368372866968707576805669504655437002221,050,000$
2Oscar Sundqvist (R)X100.006837777469757569687374687147445522690213900,000$
3Teemu Hartikainen (R)X100.007640767274607672607070686251473726680251800,000$
4William Nylander (R)X100.007145816666647369737070606342417337660191500,000$
5Brock Boeser (R)X100.006847756769666164616871576040408514640182500,000$
6Dalton Smith (R)X100.006032626768636966646467596045453622620231350,000$
7Kevin Fiala (R)X100.005535687452615971666167577841416640620191500,000$
8Nicolas Aube-Kubel (R)X100.007237636267607167586370585141415840620191500,000$
9Kirill Kaprizov (R)X100.006647696468597069606163526040407361610182500,000$
10Chase De Leo (R)X100.005830776257626558617667395441417031600191500,000$
11Dylan Strome (R)X100.005428725947706363797359404540408640580182500,000$
12Axel Holmstrom (R)X100.005441665864546259596264506341415521580191500,000$
13Matt Tennyson (R)X100.0076428172738269725873637366675837247202511,000,000$
14Cody GoloubefX100.007425787971737877537666745766543431720261850,000$
15Noah Hanifin (R)X100.005852776869636270487258595840408122630182500,000$
16Brendan Guhle (R)X100.005636785756596754305947783540408440600182500,000$
17Jeremy Lauzon (R)X100.004636757445476567267755664640408314600182500,000$
Rayé
1Anthony Cirelli (R)X84.875333886268826951676554715040408722620182500,000$
2Max McCormick (R)X100.007766696078488556585658495554544019600232350,000$
3Keegan Iverson (R)X100.004640615053595453555460384741415316520191500,000$
4Charles-Olivier Roussel (R)X100.006329707461626366416655655446463418630241500,000$
5Sean Walker (R)X100.006336676665735553236844654643434617610212500,000$
6Michael Downing (R)X100.004633636752555666396543613942425818560202400,000$
7Jacob Larsson (R)X100.005423656652455267317051564140408212560182500,000$
8Kyle Capobianco (R)X100.005231706442465065326040503840406117530182500,000$
MOYENNE D'ÉQUIPE99.39613772666362656554676159554543612762
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 SP
1Alex Nedeljkovic100.00598063697071717680656143417338690
2Kaapo Kahkonen100.00555960676662616058695641416339600
Rayé
MOYENNE D'ÉQUIPE100.0057706268686766686967594241683965
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Denis Savard60529576606555CAN501250,000$


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
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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex NedeljkovicCrunch (TB.)G191996-01-01No189 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Anthony Cirelli (Sur la Masse Salariale)Crunch (TB.)C181997-01-01Yes193 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$Yes500,000$
Axel HolmstromCrunch (TB.)C191996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Brendan GuhleCrunch (TB.)D181997-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brock BoeserCrunch (TB.)RW181997-01-01Yes208 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Charles-Olivier RousselCrunch (TB.)D241991-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Chase De LeoCrunch (TB.)C191996-01-01Yes179 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Cody GoloubefCrunch (TB.)D261989-01-01No190 Lbs6 ft1NoNoNo1Pro & Farm850,000$0$0$No
Dalton SmithCrunch (TB.)LW231992-01-01Yes206 Lbs6 ft2NoNoNo1Farm Only350,000$0$0$No
Dylan StromeCrunch (TB.)C181997-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jacob LarssonCrunch (TB.)D181997-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jeremy LauzonCrunch (TB.)D181997-01-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kaapo KahkonenCrunch (TB.)G191996-01-01No214 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Keegan IversonCrunch (TB.)C191996-01-01Yes220 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Kevin FialaCrunch (TB.)RW191996-01-01Yes193 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Kirill KaprizovCrunch (TB.)LW181997-01-01Yes185 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kyle CapobiancoCrunch (TB.)D181997-01-01Yes196 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Matt TennysonCrunch (TB.)D251990-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$No
Max McCormickCrunch (TB.)RW231992-01-01Yes188 Lbs5 ft11NoNoNo2Pro & Farm350,000$0$0$No375,000$
Michael DowningCrunch (TB.)D201995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm400,000$0$0$No500,000$
Nicolas Aube-KubelCrunch (TB.)RW191996-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Noah HanifinCrunch (TB.)D181997-01-01Yes215 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Oscar SundqvistCrunch (TB.)C211994-01-01Yes172 Lbs6 ft3NoNoNo3Pro & Farm900,000$0$0$No1,000,000$1,100,000$
Pontus AbergCrunch (TB.)RW221993-01-01Yes189 Lbs5 ft11NoNoNo2Pro & Farm1,050,000$0$0$No1,500,000$
Sean WalkerCrunch (TB.)D211994-01-01Yes194 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Teemu HartikainenCrunch (TB.)LW251990-01-01Yes215 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
William NylanderCrunch (TB.)LW191996-01-01Yes191 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2720.15196 Lbs6 ft11.56562,963$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1William NylanderOscar SundqvistPontus Aberg30122
2Teemu HartikainenDylan StromeBrock Boeser30122
3Kirill KaprizovChase De LeoKevin Fiala25122
4Dalton SmithAxel HolmstromNicolas Aube-Kubel15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonCody Goloubef40122
2Brendan GuhleJeremy Lauzon30122
3Noah Hanifin20122
4Matt TennysonNoah Hanifin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1William NylanderOscar SundqvistPontus Aberg60122
2Teemu HartikainenDylan StromeBrock Boeser40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonNoah Hanifin60122
2Jeremy Lauzon40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Oscar SundqvistTeemu Hartikainen60122
2Chase De LeoWilliam Nylander40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonCody Goloubef60122
2Brendan GuhleJeremy Lauzon40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Oscar Sundqvist60122Matt TennysonCody Goloubef60122
2Teemu Hartikainen40122Brendan GuhleJeremy Lauzon40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Oscar SundqvistPontus Aberg60122
2Chase De LeoTeemu Hartikainen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonNoah Hanifin60122
2Jeremy LauzonCody Goloubef40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
William NylanderOscar SundqvistPontus AbergJeremy LauzonNoah Hanifin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu HartikainenOscar SundqvistKevin FialaBrendan GuhleCody Goloubef
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
William Nylander, Kevin Fiala, Kirill KaprizovNicolas Aube-Kubel, Kevin FialaTeemu Hartikainen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Guhle, Jeremy Lauzon, Matt TennysonBrendan Guhle, Jeremy Lauzon
Tirs de Pénalité
Pontus Aberg, William Nylander, Kirill Kaprizov, Kevin Fiala, Teemu Hartikainen
Gardien
#1 : Kaapo Kahkonen, #2 : Alex Nedeljkovic


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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 Billets4020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,520,000$ 1,437,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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





Site web créé par le SimonT Hockey Simulator (STHS) pour Francois Prevost - English Version of the Website - La base de données a été créé : 2021-06-12 10:18:09 PM