Crunch

GP: 6 | W: 2 | L: 4 | OTL: 0 | P: 4
GF: 25 | GA: 35 | PP%: 37.93% | PK%: 61.76%
DG: Hugues Blais | Morale : 49 | Moyenne d'Équipe : 68
Prochain matchs #83 vs Marlies
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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 SP
1Brett RitchieX100.008855655690656655525359545771687052640
2Anders BjorkXX100.005635946172776260636456615565635552620
Rayé
MOYENNE D'ÉQUIPE100.00724580598171645858595858566866635263
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
1Zane McIntyre100.00768078827574767574767573774652740
2Jon Gillies100.00718078977069717069717069735152720
Rayé
MOYENNE D'ÉQUIPE100.0074807890737274737274737175495273
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden82859281716678USA472500,000$


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Anders BjorkCrunch (TB.)LW/RW211996-08-05No190 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Brett RitchieCrunch (TB.)RW241993-07-01No220 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Jon GilliesCrunch (TB.)G231994-01-22No223 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Zane McIntyreCrunch (TB.)G251992-08-20No206 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
423.25210 Lbs6 ft31.00856,250$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
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
1Bruins11000000532110000005320000000000021.0005101500691002432523002326124250.00%3166.67%0468653.49%358242.68%7313852.90%126701285910550
2Devils1010000036-31010000036-30000000000000.0003580069100153252300241118125240.00%9455.56%1468653.49%358242.68%7313852.90%126701285910550
3Marlies1010000016-51010000016-50000000000000.000123006910018325230029817136116.67%6183.33%0468653.49%358242.68%7313852.90%126701285910550
4Rocket1010000058-3000000000001010000058-300.000581300691001532523002478154250.00%4175.00%0468653.49%358242.68%7313852.90%126701285910550
5Senateurs11000000743110000007430000000000021.00071320006910023325230014312136350.00%6266.67%0468653.49%358242.68%7313852.90%126701285910550
6Thunderbird1010000048-4000000000001010000048-400.00047110069100193252300221012194125.00%6433.33%0468653.49%358242.68%7313852.90%126701285910550
Total624000002535-10422000001619-320200000916-740.33325457000691001143252300136417384291137.93%341361.76%1468653.49%358242.68%7313852.90%126701285910550
_Since Last GM Reset624000002535-10422000001619-320200000916-740.33325457000691001143252300136417384291137.93%341361.76%1468653.49%358242.68%7313852.90%126701285910550
_Vs Conference624000002535-10422000001619-320200000916-740.33325457000691001143252300136417384291137.93%341361.76%1468653.49%358242.68%7313852.90%126701285910550
_Vs Division523000002229-7321000001313020200000916-740.400224062006910099325230011230557224937.50%25964.00%0468653.49%358242.68%7313852.90%126701285910550

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L225457011413641738400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400002535
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001619
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000916
Derniers 10 Matchs
WLOTWOTL SOWSOL
240000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
291137.93%341361.76%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
325230069100
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
468653.49%358242.68%7313852.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
126701285910550


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 - 2019-10-056Senateurs4Crunch7WSommaire du Match
4 - 2019-10-0720Crunch4Thunderbird8LSommaire du Match
7 - 2019-10-1035Crunch5Rocket8LSommaire du Match
9 - 2019-10-1244Bruins3Crunch5WSommaire du Match
12 - 2019-10-1559Marlies6Crunch1LSommaire du Match
14 - 2019-10-1773Devils6Crunch3LSommaire du Match
16 - 2019-10-1983Crunch-Marlies-
18 - 2019-10-2199Thunderbird-Crunch-
20 - 2019-10-23113Crunch-Bruins-
22 - 2019-10-25123Sound Tigers-Crunch-
24 - 2019-10-27132Crunch-Devils-
25 - 2019-10-28141Crunch-Senateurs-
27 - 2019-10-30152Senateurs-Crunch-
30 - 2019-11-02168Crunch-Senateurs-
32 - 2019-11-04177Rocket-Crunch-
35 - 2019-11-07189Crunch-Sound Tigers-
37 - 2019-11-09202Icedogs-Crunch-
40 - 2019-11-12214Crunch-Heat-
42 - 2019-11-14225Penguins-Crunch-
45 - 2019-11-17242Monsters-Crunch-
47 - 2019-11-19252Crunch-Rampages-
49 - 2019-11-21263Crunch-Sound Tigers-
51 - 2019-11-23272Thunderbird-Crunch-
54 - 2019-11-26291Reigh-Crunch-
56 - 2019-11-28302Crunch-Condors-
58 - 2019-11-30314Crunch-Rocket-
60 - 2019-12-02321Rocket-Crunch-
63 - 2019-12-05340Thunderbird-Crunch-
65 - 2019-12-07352Crunch-Rampages-
67 - 2019-12-09363Crunch-Penguins-
69 - 2019-12-11372Gulls-Crunch-
71 - 2019-12-13383Crunch-Wolves-
74 - 2019-12-16396Rocket-Crunch-
78 - 2019-12-20414Admirals-Crunch-
80 - 2019-12-22429Crunch-Gulls-
81 - 2019-12-23438Bruins-Crunch-
83 - 2019-12-25450Crunch-Penguins-
85 - 2019-12-27463Bruins-Crunch-
87 - 2019-12-29475Crunch-Icedogs-
90 - 2020-01-01486Crunch-Barracuda-
91 - 2020-01-02491Devils-Crunch-
95 - 2020-01-06509Crunch-Bears-
96 - 2020-01-07516Wolves-Crunch-
99 - 2020-01-10529Crunch-Rocket-
100 - 2020-01-11538Condors-Crunch-
105 - 2020-01-16558Blacknight-Crunch-
107 - 2020-01-18572Crunch-Senateurs-
109 - 2020-01-20582Sound Tigers-Crunch-
111 - 2020-01-22594Crunch-Devils-
114 - 2020-01-25607Senateurs-Crunch-
118 - 2020-01-29623Crunch-Thunderbird-
119 - 2020-01-30633Phantoms-Crunch-
122 - 2020-02-02650Crunch-Marlies-
123 - 2020-02-03656Phantoms-Crunch-
126 - 2020-02-06673Crunch-Thunderbird-
127 - 2020-02-07681Marlies-Crunch-
130 - 2020-02-10694Crunch-Admirals-
131 - 2020-02-11703Crunch-Stars-
132 - 2020-02-12708Blacknight-Crunch-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
136 - 2020-02-16726Heat-Crunch-
137 - 2020-02-17735Crunch-Bruins-
140 - 2020-02-20745Crunch-Bears-
142 - 2020-02-22754Crunch-Bruins-
143 - 2020-02-23758Monsters-Crunch-
146 - 2020-02-26776Barracuda-Crunch-
148 - 2020-02-28786Crunch-Reigh-
150 - 2020-03-01796Crunch-Marlies-
151 - 2020-03-02802Crunch-Blacknight-
153 - 2020-03-04811Stars-Crunch-
156 - 2020-03-07822Crunch-Moose-
158 - 2020-03-09834Bears-Crunch-
159 - 2020-03-10838Crunch-Devils-
163 - 2020-03-14857Moose-Crunch-
167 - 2020-03-18876Bears-Crunch-
170 - 2020-03-21896Marlies-Crunch-
172 - 2020-03-23906Crunch-Monsters-
176 - 2020-03-27924Penguins-Crunch-
177 - 2020-03-28932Crunch-Monsters-
180 - 2020-03-31943Rampages-Crunch-
181 - 2020-04-01948Crunch-Phantoms-
188 - 2020-04-08972Rampages-Crunch-
189 - 2020-04-09980Crunch-Phantoms-



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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
66,165$ 342,500$ 342,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 26,895$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 176 4,411$ 776,336$




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
3624000002535-10422000001619-320200000916-7425457000691001143252300136417384291137.93%341361.76%1468653.49%358242.68%7313852.90%126701285910550
Total Saison Régulière624000002535-10422000001619-320200000916-7425457000691001143252300136417384291137.93%341361.76%1468653.49%358242.68%7313852.90%126701285910550
Séries
211650000058580523000002331-864200000352781258106164008212814121091421574443128119153473268.09%573735.09%210325740.08%10026138.31%8922938.86%2461502459217587
Total Séries11650000058580523000002331-864200000352781258106164008212814121091421574443128119153473268.09%573735.09%210325740.08%10026138.31%8922938.86%2461502459217587