Crunch

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Stéphane Lacasse | Morale : 56 | Moyenne d'Équipe : 58
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Reid BoucherXX100.00715573827871777350636566557472182670
2Byron FroeseX100.00795565757767696974656469556476136660
3Austin CzarnikX100.00635580807070737064636462557272183650
4Freddie HamiltonX100.00605566707770666360616061557268182620
5Kevin PorterX100.00665566727066696050606060556464183610
6Matt PuempelX100.00605566727972606150606058555454184600
7Tyler GraovacX100.00765563757873606150606060555050140600
8Francis Perron (R)X100.00615566606360755750565756557574183580
9Chase De LeoX100.00615562626360725550555555557273183570
10Henrik SamuelssonX100.00595574627975545550555555555050167560
11Borna RendulicX100.00565555555859595550555555557075159550
12Spencer Watson (R)XX100.00565555555555555550555555555050140530
13Duncan SiemensX100.00735560798071676925616170555353185660
14Paul PostmaX100.00695574707769586925616066556464131630
15Jeff SchultzX100.00595559615959795925595959558381183600
16Mat BodieX100.00625566615865696025606056555353182580
17Nate GueninX100.00555555605555655525555555556566183560
18Kevin CzuczmanX100.00555555605555695525555555555353139540
19Lukas Bengtsson (R)X100.00555556605656575625565656555353142540
20Nick EbertX100.00555555605555645525555555555353184540
Rayé
1Colin GreeningX100.00555555555555555550555555557271157540
2Nathan Bastian (R)XX100.00565555555555555550555555555050155530
3Michael ZalewskiX100.00565555555555555550555555555050120520
4Ryan MaloneX100.00565555555555555550555555555050120520
5Sam HenleyX100.00565555555555555550555555555050120520
6Brandon Crawley (R)X100.00555555605555565525555555555555120530
MOYENNE D'ÉQUIPE100.0061556264646263594358585855606115958
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
1Ondrej Pavelec100.0070727176707069656969558078135690
2Adin Hill100.0060686380656565636763556062180640
Rayé
1Jamie Phillips100.0060696664666665636763556062124620
MOYENNE D'ÉQUIPE100.006370677367676664686555676714665
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Spott60486266636461CAN475100,000$


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'ÉquipePOS GP 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
Adin HillCrunch (Tam)G201996-05-11No198 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Austin CzarnikCrunch (Tam)C241992-12-12No160 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Borna RendulicCrunch (Tam)RW241992-03-24No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Brandon CrawleyCrunch (Tam)D191997-02-02Yes205 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Byron FroeseCrunch (Tam)C251991-03-12No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Chase De LeoCrunch (Tam)C211995-10-25No178 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Colin GreeningCrunch (Tam)LW301986-03-09No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Duncan SiemensCrunch (Tam)D231993-09-07No205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Francis PerronCrunch (Tam)LW201996-04-18Yes166 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Freddie HamiltonCrunch (Tam)C251992-01-01No195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Henrik SamuelssonCrunch (Tam)C221994-02-07No210 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$No
Jamie PhillipsCrunch (Tam)G231993-03-24No170 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Jeff SchultzCrunch (Tam)D301986-02-25No230 Lbs6 ft6NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Kevin CzuczmanCrunch (Tam)D261991-01-09No209 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Kevin PorterCrunch (Tam)C301986-03-12No194 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Lukas BengtssonCrunch (Tam)D221994-04-13Yes172 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Mat BodieCrunch (Tam)D261990-06-03No175 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Matt PuempelCrunch (Tam)LW231993-01-23No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Michael ZalewskiCrunch (Tam)LW241992-08-18No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Nate GueninCrunch (Tam)D341982-12-09No207 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm450,000$0$0$No
Nathan BastianCrunch (Tam)C/RW191997-12-06Yes205 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Nick EbertCrunch (Tam)D221994-05-10No203 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Ondrej PavelecCrunch (Tam)G291987-08-30No218 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Paul PostmaCrunch (Tam)D271989-02-21No195 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm400,000$0$0$No
Reid BoucherCrunch (Tam)LW/RW231993-09-07No190 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Ryan MaloneCrunch (Tam)LW371979-11-30No225 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Sam HenleyCrunch (Tam)LW231993-07-24No209 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Spencer WatsonCrunch (Tam)LW/RW201996-04-26Yes170 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Tyler GraovacCrunch (Tam)C231993-04-26No200 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.62197 Lbs6 ft12.00398,276$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Reid BoucherAustin CzarnikFreddie Hamilton40122
2Matt PuempelByron FroeseKevin Porter30122
3Francis PerronFreddie HamiltonSpencer Watson20122
4Byron FroeseKevin PorterReid Boucher10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan SiemensPaul Postma40122
2Jeff SchultzMat Bodie30122
3Nate GueninNick Ebert20122
4Kevin CzuczmanDuncan Siemens10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Reid BoucherAustin CzarnikFreddie Hamilton60122
2Matt PuempelByron FroeseKevin Porter40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan SiemensPaul Postma60122
2Jeff SchultzMat Bodie40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Reid BoucherAustin Czarnik60122
2Byron FroeseFreddie Hamilton40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan SiemensPaul Postma60122
2Jeff SchultzMat Bodie40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Reid Boucher60122Duncan SiemensPaul Postma60122
2Austin Czarnik40122Jeff SchultzMat Bodie40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Reid BoucherAustin Czarnik60122
2Byron FroeseFreddie Hamilton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Duncan SiemensPaul Postma60122
2Jeff SchultzMat Bodie40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Reid BoucherAustin CzarnikByron FroeseDuncan SiemensPaul Postma
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Reid BoucherAustin CzarnikByron FroeseDuncan SiemensPaul Postma
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Graovac, Chase De Leo, Kevin PorterTyler Graovac, Chase De LeoKevin Porter
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nate Guenin, Nick Ebert, Kevin CzuczmanNate GueninNick Ebert, Kevin Czuczman
Tirs de Pénalité
Reid Boucher, Austin Czarnik, Byron Froese, Freddie Hamilton, Kevin Porter
Gardien
#1 : Ondrej Pavelec, #2 : Adin Hill


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
Capacité de l'Aréna20001000
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 JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 115,500$ 147,708$ 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$ 4 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