Crunch

GP: 8 | W: 3 | L: 5 | OTL: 0 | P: 6
GF: 24 | GA: 39 | PP%: 15.15% | PK%: 76.47%
DG: Jean-Christophe Desbiens | Morale : 49 | Moyenne d'Équipe : 63
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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
1Jake EvansX100.007543907769738565927159892565660507002821,700,000$
2Isac LundestromXX100.007643988270677166746160822565650526802441,800,000$
3Emil BemstromXX100.00674292826858877136626663256464052670251900,000$
4Derek RyanXX100.007142967766569264786058847573750456703711,250,000$
5Pierre-edouard BellemareXX100.006542948071557465855859852575800416703921,000,000$
6Matthew Coronato (R)X100.00594093776563747734645968254747044660213925,000$
7Ryan CarpenterXX100.007143967773588665766058782567670526603321,000,000$
8Dylan GambrellX100.007568926268768062785858695564640526202811,100,000$
9Nicolas DeslauriersX100.009699607384518762365555612574750516203321,750,000$
10Adam BeckmanX100.00774370686354776525645565254646052610231894,167$
11Karson KuhlmanX100.00756793656771765550475666536061052580293775,000$
12Conor TimminsX100.007944797770695273256748692558590447002611,100,000$
13Henry Thrun (R)X100.00654290787079726925524884254949052680233912,500$
14Jack JohnsonX100.00754485748165996425524880619091045680372775,000$
15Justin HollX100.008145837478667661255047762567690526603233,400,000$
16Ian MitchellX100.00594078776367646225514774254848052630252775,000$
17Corey SchuenemanX100.00787389657375824925424163394646052580292975,000$
18Jakub ZborilX100.007673826573545551254639653758580525802711,137,500$
19Connor MackeyX100.007078507178565848254041593947470525602812,075,000$
Rayé
1Matt LuffX100.00787391617358576550576770645757033640272750,000$
2Jackson CatesX100.007770926370778257715158645544440296002721,365,200$
3Arnaud DurandeauX100.00716681626672765750595161484444039580252750,000$
4Gavin BayreutherX100.00717267657255565425523964375858038590302650,000$
MOYENNE D'ÉQUIPE100.0073568472716475624656537138596004764
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
1Chris Driedger100.0060435484646464676968305253047620
2Alex Stalock100.0048486073474750544848304444052500
Rayé
MOYENNE D'ÉQUIPE100.005446577956565761595830484905056
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Ranford40404040404040TUR802500,000$


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
1Jack JohnsonCrunch (TBA)D715632016512388.33%1015622.34022822000028000.00%000000.7700000002
2Pierre-edouard BellemareCrunch (TBA)C/LW72130002211331315.38%410815.56000010001210063.39%11200000.5500000000
3Nicolas DeslauriersCrunch (TBA)RW8022-426030107260.00%812816.100001000000000.00%000000.3100000000
Stats d'équipe Total ou en Moyenne223811-12804836328279.38%2239417.910229230001500063.39%11200000.5600000002
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
1Chris DriedgerCrunch (TBA)20000.9800.9762001500000.000004000
Stats d'équipe Total ou en Moyenne20000.9800.9762001500000.000004000


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
Adam BeckmanCrunch (TBA)LW232001-05-10No167 Lbs6 ft1NoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Alex StalockCrunch (TBA)G371987-07-28No200 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Arnaud DurandeauCrunch (TBA)LW251999-01-14No181 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Chris DriedgerCrunch (TBA)G301994-05-18No205 Lbs6 ft4NoNoNo1Pro & Farm3,500,000$3,500,000$0$0$NoLien
Connor MackeyCrunch (TBA)D281996-09-12No200 Lbs6 ft2NoNoNo1Pro & Farm2,075,000$2,075,000$0$0$NoLien
Conor TimminsCrunch (TBA)D261998-09-18No185 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien
Corey SchuenemanCrunch (TBA)D291995-09-02No200 Lbs6 ft0NoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$Lien
Derek RyanCrunch (TBA)C/RW371986-12-29No185 Lbs5 ft10NoNoNo1Pro & Farm1,250,000$1,250,000$0$0$NoLien / Lien NHL
Dylan GambrellCrunch (TBA)C281996-08-26No185 Lbs6 ft0NoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien / Lien NHL
Emil BemstromCrunch (TBA)LW/RW251999-06-01No189 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Gavin BayreutherCrunch (TBA)D301994-05-12No195 Lbs6 ft1NoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien / Lien NHL
Henry ThrunCrunch (TBA)D232001-03-12Yes189 Lbs6 ft2NoNoNo3Pro & Farm912,500$912,500$0$0$No912,500$912,500$Lien
Ian MitchellCrunch (TBA)D251999-01-18No174 Lbs5 ft11NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Isac LundestromCrunch (TBA)C/LW241999-11-06No191 Lbs6 ft0NoNoNo4Pro & Farm1,800,000$1,800,000$0$0$No1,800,000$1,800,000$1,800,000$Lien / Lien NHL
Jack JohnsonCrunch (TBA)D371987-01-13No227 Lbs6 ft1NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien / Lien NHL
Jackson CatesCrunch (TBA)C271997-09-26No190 Lbs6 ft0NoNoNo2Pro & Farm1,365,200$1,365,200$0$0$No1,365,200$Lien
Jake EvansCrunch (TBA)C281996-06-02No189 Lbs6 ft1NoNoNo2Pro & Farm1,700,000$1,700,000$0$0$No1,700,000$Lien / Lien NHL
Jakub ZborilCrunch (TBA)D271997-02-21No200 Lbs6 ft0NoNoNo1Pro & Farm1,137,500$1,137,500$0$0$NoLien / Lien NHL
Justin HollCrunch (TBA)D321992-01-30No209 Lbs6 ft4NoNoNo3Pro & Farm3,400,000$3,400,000$0$0$No3,400,000$3,400,000$Lien / Lien NHL
Karson KuhlmanCrunch (TBA)RW291995-09-26No185 Lbs5 ft11NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
Matt LuffCrunch (TBA)RW271997-05-05No196 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Matthew CoronatoCrunch (TBA)RW212002-11-14Yes183 Lbs5 ft10NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Nicolas DeslauriersCrunch (TBA)RW331991-02-22No218 Lbs6 ft3NoNoNo2Pro & Farm1,750,000$1,750,000$0$0$No1,750,000$Lien / Lien NHL
Pierre-edouard BellemareCrunch (TBA)C/LW391985-03-06No198 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Ryan CarpenterCrunch (TBA)C/RW331991-01-18No200 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2528.92194 Lbs6 ft11.921,280,375$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
135122
235122
325122
4Nicolas Deslauriers5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Nicolas Deslauriers35122
325122
45122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Nicolas Deslauriers40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
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
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
1Chiken Wings21100000910-1110000006511010000035-220.500916250061071949110911018913641700.00%3166.67%09626336.50%13035137.04%4814233.80%14292240669641
2Phantom20200000511-61010000045-11010000016-500.00051015006107159911091101110273031900.00%12375.00%09626336.50%13035137.04%4814233.80%14292240669641
3Rockets21001000743110000003121000100043141.00071421006107187911091101642918499222.22%8187.50%19626336.50%13035137.04%4814233.80%14292240669641
4Sword 20200000314-111010000028-61010000016-500.0003690061071719110911011312224438337.50%11372.73%09626336.50%13035137.04%4814233.80%14292240669641
Total825010002439-15422000001519-440301000920-1160.3752446700061071311911091101394917816433515.15%34876.47%19626336.50%13035137.04%4814233.80%14292240669641
_Since Last GM Reset825010002439-15422000001519-440301000920-1160.3752446700061071311911091101394917816433515.15%34876.47%19626336.50%13035137.04%4814233.80%14292240669641
_Vs Conference825010002439-15422000001519-440301000920-1160.3752446700061071311911091101394917816433515.15%34876.47%19626336.50%13035137.04%4814233.80%14292240669641
_Vs Division22501000511-61220000045-11030100016-561.50051015006107159911091101110273031900.00%12375.00%09626336.50%13035137.04%4814233.80%14292240669641

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
86L3244670311394917816400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82510002439
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001519
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4031000920
Derniers 10 Matchs
WLOTWOTL SOWSOL
350000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
33515.15%34876.47%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
91109110161071
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
9626336.50%13035137.04%4814233.80%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14292240669641


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
2 - 2024-09-188Sword 8Crunch2LSommaire du Match
3 - 2024-09-1917Crunch3Chiken Wings5LSommaire du Match
6 - 2024-09-2229Rockets1Crunch3WSommaire du Match
8 - 2024-09-2444Chiken Wings5Crunch6WSommaire du Match
9 - 2024-09-2554Crunch4Rockets3WXSommaire du Match
11 - 2024-09-2761Phantom5Crunch4LSommaire du Match
12 - 2024-09-2865Crunch1Sword 6LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2024-09-2970Crunch1Phantom6LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité 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$ 3,200,937$ 2,732,465$ 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$ 1 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
Séries
20211064000004838105320000023203532000002518712489113900191711139710511411464382126112287561425.00%521178.85%124040858.82%22340654.93%10519254.69%3172212588515479
20211789000007280-8844000003537-2945000003743-61672124196002419245712204221205827261722134411022120.59%971584.54%332470745.83%28970740.88%14933244.88%413280503149236110
Total Séries271413000001201182137600000585711477000006261128120215335004336356110930933531914611082983257281583522.15%1492682.55%4564111550.58%512111346.00%25452448.47%730502761235390190