Crunch
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Keven St-Amand | Morale : 40 | Moyenne d'Équipe : 64
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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
1Teemu Hartikainen (R)X100.007540787275627774636872706456483440690261900,000$
2Brock Boeser (R)X100.007247787173706569657174636444427640680191500,000$
3Nicolas Aube-Kubel (R)X100.007537696870637473646975645743435240670202750,000$
4Anthony Cirelli (R)X100.005833906671847258716661745645427740660191500,000$
5Christoffer Ehn (R)X100.005637836870776758746961736046436336660202650,000$
6Kevin Fiala (R)X100.006135717659666574686570628044425940660202750,000$
7Dalton Smith (R)X100.006032646970656868666669626248483340640241500,000$
8Mitch Callahan (R)X100.007335706969557165576967586147472840640251450,000$
9Dylan Strome (R)X100.006028766454756968827765485244427540630191500,000$
10Anatoli Golyshev (R)X100.005933707163657063767963485046475740630212500,000$
11Max McCormick (R)X100.008068716279518759605759525755553540610241375,000$
12Connor Bunnaman (R)X100.005732836860775746575845705140407140590182500,000$
13Noah Hanifin (R)X100.006251807172676672537462656146427340670191500,000$
14Brendan Guhle (R)X100.006236826362647264386855824445427240660191500,000$
15Charles-Olivier Roussel (R)X100.006331717562626367416756665547473140640251500,000$
16Jeremy Lauzon (R)X100.004736797852577072348162715245427340640191500,000$
17Sean Walker (R)X100.006336737267725755267146714945464240640221500,000$
18Jacob Larsson (R)X100.005923697057505770387356634641427240610191500,000$
19Michael Downing (R)X100.004835656855596268406846634143435040590211500,000$
20Kyle Capobianco (R)X100.005432736643515266346243524141415440550191500,000$
Rayé
1Jordan Oesterle (R)X100.007053766074747276586862636254524940670243900,000$
MOYENNE D'ÉQUIPE100.00633875696565676655696064554645564064
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
1Kaapo Kahkonen100.00626364706866656362726045435640640
2Josef Korenar (R)100.00664362626041535360526240406840550
Rayé
MOYENNE D'ÉQUIPE100.0064536366645459586162614342624060
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Denis Savard60529576606555Can623500,000$


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
Anatoli GolyshevCrunch (T.B)LW211995-01-01Yes187 Lbs5 ft8NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Anthony CirelliCrunch (T.B)C191997-01-01Yes193 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$No
Brendan GuhleCrunch (T.B)D191997-01-01Yes197 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Brock BoeserCrunch (T.B)RW191997-01-01Yes208 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Charles-Olivier RousselCrunch (T.B)D251991-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Christoffer EhnCrunch (T.B)C201996-01-01Yes181 Lbs6 ft3NoNoNo2Pro & Farm650,000$650,000$0$0$No750,000$
Connor BunnamanCrunch (T.B)C181998-01-01Yes214 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Dalton SmithCrunch (T.B)LW241992-01-01Yes206 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Dylan StromeCrunch (T.B)C191997-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Jacob LarssonCrunch (T.B)D191997-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Jeremy LauzonCrunch (T.B)D191997-01-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Jordan OesterleCrunch (T.B)D241992-01-01Yes183 Lbs6 ft0NoNoNo3Pro & Farm900,000$900,000$0$0$No975,000$1,250,000$
Josef KorenarCrunch (T.B)G181998-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Kaapo KahkonenCrunch (T.B)G201996-01-01No214 Lbs6 ft2NoNoNo2Pro & Farm600,000$600,000$0$0$No600,000$
Kevin FialaCrunch (T.B)RW201996-01-01Yes193 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$
Kyle CapobiancoCrunch (T.B)D191997-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Max McCormickCrunch (T.B)RW241992-01-01Yes188 Lbs5 ft11NoNoNo1Pro & Farm375,000$375,000$0$0$No
Michael DowningCrunch (T.B)D211995-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Mitch CallahanCrunch (T.B)RW251991-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm450,000$450,000$0$0$No
Nicolas Aube-KubelCrunch (T.B)RW201996-01-01Yes187 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$
Noah HanifinCrunch (T.B)D191997-01-01Yes215 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Sean WalkerCrunch (T.B)D221994-01-01Yes194 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Teemu HartikainenCrunch (T.B)LW261990-01-01Yes215 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2320.87197 Lbs6 ft11.39559,783$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu HartikainenAnthony CirelliBrock Boeser40122
2Dylan StromeNicolas Aube-Kubel30122
3Dalton SmithConnor BunnamanKevin Fiala20122
4Anatoli GolyshevTeemu HartikainenMitch Callahan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah HanifinBrendan Guhle40122
2Jeremy LauzonCharles-Olivier Roussel30122
3Sean WalkerJacob Larsson20122
4Michael DowningKyle Capobianco10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu HartikainenAnthony CirelliBrock Boeser60122
2Dylan StromeNicolas Aube-Kubel40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah HanifinBrendan Guhle60122
2Jeremy LauzonCharles-Olivier Roussel40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Teemu HartikainenBrock Boeser60122
2Nicolas Aube-KubelAnthony Cirelli40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah HanifinBrendan Guhle60122
2Jeremy LauzonCharles-Olivier Roussel40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Teemu Hartikainen60122Noah HanifinBrendan Guhle60122
2Brock Boeser40122Jeremy LauzonCharles-Olivier Roussel40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Teemu HartikainenBrock Boeser60122
2Nicolas Aube-KubelAnthony Cirelli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah HanifinBrendan Guhle60122
2Jeremy LauzonCharles-Olivier Roussel40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu HartikainenAnthony CirelliBrock BoeserNoah HanifinBrendan Guhle
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu HartikainenAnthony CirelliBrock BoeserNoah HanifinBrendan Guhle
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Max McCormick, Kevin Fiala, Dalton SmithMax McCormick, Kevin FialaDalton Smith
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sean Walker, Jacob Larsson, Michael DowningSean WalkerJacob Larsson, Michael Downing
Tirs de Pénalité
Teemu Hartikainen, Brock Boeser, Nicolas Aube-Kubel, Anthony Cirelli, Kevin Fiala
Gardien
#1 : Kaapo Kahkonen, #2 : Josef Korenar


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 Billets3515
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
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,287,500$ 957,500$ 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 : 2021-11-30 7:37:23 PM