Connexion

Crunch
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Karl | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralKarl
EntraîneurDom Ducharme
DivisionCentral
ConférenceDivison Central-East
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro13
Équipe Mineure19
Limite contact 32 / 60
Espoirs30


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique41-12-10 (0.651%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)3-4
Stanley Cup0


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
1Josh Leivo0XX100.00734391717257646333587056636363050002911,000,000$
2Keegan Kolesar0XXX100.00894680657954665752685854255050050002500$
3Jack Drury (R)0X100.0078659468686262556054546655444405000222925,000$
4Lukas Reichel (R)0X100.0074698477696363605055606362444405000202925,000$
5Matthew Phillips0XX100.00655393645360606379606259594444050002400$
6Tyce Thompson (R)0X100.00736688666653535550485761544444050002300$
7Cooper Marody0XX100.00736786666763626780597164674444050002500$
8Alexander Holtz (R)0X100.0076669970665050505063596245444405000202925,000$
9Steven Santini0X100.0079768772765556542539536750555505000271750,000$
10Noah Juulsen0X100.00807593537542414725393963374646050002500$
11Hayden Shaw0X100.00666958516955574825394256404444050002600$
12Kyle Burroughs0X100.00757088657058605125444262404545050002700$
13Oskari Laaksonen (R)0X100.0072649261646062542553416139444405000231853,333$
Rayé
MOYENNE D’ÉQUIPE100.007564876569565856455254614947470500
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 SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dom Ducharme72626059454657CAN481600,000$


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 restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander HoltzCrunch (TBL)RW202002-01-23Yes181 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien NHL
Cooper MarodyCrunch (TBL)C/RW251996-12-20No184 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Hayden ShawCrunch (TBL)D261996-06-05No194 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien
Jack DruryCrunch (TBL)C222000-02-03 07:39:52Yes174 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien NHL
Josh LeivoCrunch (TBL)LW/RW291993-05-26No192 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien / Lien NHL
Keegan KolesarCrunch (TBL)C/LW/RW251997-04-08No217 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Kyle BurroughsCrunch (TBL)D271995-07-12No193 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Lukas ReichelCrunch (TBL)LW202002-05-17 07:46:28Yes170 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien NHL
Matthew PhillipsCrunch (TBL)C/RW241998-04-06No150 Lbs5 ft7NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Noah JuulsenCrunch (TBL)D251997-04-02No201 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Oskari LaaksonenCrunch (TBL)D231999-07-02Yes165 Lbs6 ft2NoNoNo1Pro & Farm853,333$853,333$853,333$853,333$0$0$No
Steven SantiniCrunch (TBL)D271995-03-07No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien / Lien NHL
Tyce ThompsonCrunch (TBL)RW231999-07-11Yes178 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1324.31185 Lbs6 ft00.69413,718$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Keegan Kolesar40122
2Matthew PhillipsTyce Thompson30122
3Alexander Holtz20122
4Keegan Kolesar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oskari LaaksonenKyle Burroughs40122
2Noah JuulsenHayden Shaw30122
320122
4Oskari LaaksonenKyle Burroughs10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Keegan Kolesar60122
2Matthew PhillipsTyce Thompson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oskari LaaksonenKyle Burroughs60122
2Noah JuulsenHayden Shaw40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Keegan KolesarMatthew Phillips40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oskari LaaksonenKyle Burroughs60122
2Noah JuulsenHayden Shaw40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Oskari LaaksonenKyle Burroughs60122
240122Noah JuulsenHayden Shaw40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Keegan KolesarMatthew Phillips40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oskari LaaksonenKyle Burroughs60122
2Noah JuulsenHayden Shaw40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Keegan KolesarOskari LaaksonenKyle Burroughs
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Keegan KolesarOskari LaaksonenKyle Burroughs
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Holtz, Tyce Thompson, Matthew PhillipsAlexander Holtz, Tyce ThompsonMatthew Phillips
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Juulsen, Hayden Shaw, Oskari LaaksonenNoah JuulsenHayden Shaw, Oskari Laaksonen
Tirs de pénalité
, , Keegan Kolesar, Matthew Phillips, Tyce Thompson
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Keegan Kolesar, Matthew Phillips, Tyce Thompson, Alexander Holtz, Alexander Holtz, , , ,
Lignes de défense personnalisées en prolongation
Oskari Laaksonen, Kyle Burroughs, Noah Juulsen, Hayden Shaw,


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
TotalDomicileVisiteur
# 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 pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 matchs 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%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel 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 entraineurs
0$ 4,033,750$ 4,033,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Crunch Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Sven Baertschi5623355813468213815115.23%22121721.73612184123583349.91%00.9526
2Jason Robertson5619264518426710916111.80%13116920.89111124410152361.67%00.7711
3Sam Gagner5619254412223213013613.97%17124022.164101437325118250.90%00.7116
4Sam Steel561032421512161761158.70%13113220.22212143101114163.45%00.7436
5Sam Carrick561823411247647012714.17%593316.67710173200003272.06%00.8801

Crunch Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Anders Nilsson56391230.8942.1332996411711000300.75016
2Jake Oettinger52000.9710.54112001350100.6673

Crunch Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Saison régulière
156291208142167120472813705021806218281650312187582985167273440045657421512213724213915711353327889553173912.30%3174386.44%6923155159.51%856154655.37%45781456.14%142110121321413671331
Total Saison régulière56291208142167120472813705021806218281650312187582985167273440045657421512213724213915711353327889553173912.30%3174386.44%6923155159.51%856154655.37%45781456.14%142110121321413671331
Séries éliminatoires
1734000002024-440400000817-933000000127562033530079221224439318208611321213139.68%45882.22%08917650.57%12124948.59%6811459.65%160110200579142
Total Séries éliminatoires734000002024-440400000817-933000000127562033530079221224439318208611321213139.68%45882.22%08917650.57%12124948.59%6811459.65%160110200579142

Crunch Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Sam Steel7167-30518714.29%114721.02033100001059.18%00.9500
2Sam Carrick7336165101915.79%212517.95000100000045.45%00.9500
3Jason Robertson7426-3612141921.05%715221.7530370000009.09%00.7900
4Sven Baertschi72352610221414.29%1216022.92000200010051.19%00.6200
5Matthew Phillips714512216137.69%211316.22000000000059.49%00.8800

Crunch Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Anders Nilsson73400.8873.1741700221950100.0000
2Jake Oettinger10000.8463.6433002130000.0000