Connexion

Crunch
GP: 9 | W: 5 | L: 3 | OTL: 1 | P: 11
GF: 33 | GA: 28 | PP%: 39.47% | PK%: 87.10%
DG: Simon Bonneau | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #161 vs Griffins
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Centre de jeu
Crunch
5-3-1, 11pts
3
FINAL
5 Binghamton Senateurs
4-6-0, 8pts
Team Stats
W1StreakL1
4-1-0Home Record3-2-0
1-2-1Away Record1-4-0
5-3-1Last 10 Games4-6-0
3.67Buts par match 2.70
3.11Buts contre par match 3.30
39.47%Pourcentage en avantage numérique16.28%
87.10%Pourcentage en désavantage numérique78.95%
Rockets
6-2-2, 14pts
2
FINAL
3 Crunch
5-3-1, 11pts
Team Stats
W1StreakW1
4-0-0Home Record4-1-0
2-2-2Away Record1-2-1
6-2-2Last 10 Games5-3-1
2.90Buts par match 3.67
3.00Buts contre par match 3.11
8.70%Pourcentage en avantage numérique39.47%
76.92%Pourcentage en désavantage numérique87.10%
Crunch
5-3-1, 11pts
2022-08-02
Griffins
5-2-1, 11pts
Statistiques d’équipe
W1SéquenceW1
4-1-0Fiche domicile4-0-1
1-2-1Fiche visiteur1-2-0
5-3-110 derniers matchs5-2-1
3.67Buts par match 3.75
3.11Buts contre par match 2.38
39.47%Pourcentage en avantage numérique32.26%
87.10%Pourcentage en désavantage numérique89.29%
Griffins
5-2-1, 11pts
2022-08-03
Crunch
5-3-1, 11pts
Statistiques d’équipe
W1SéquenceW1
4-0-1Fiche domicile4-1-0
1-2-0Fiche visiteur1-2-1
5-2-110 derniers matchs5-3-1
3.75Buts par match 3.67
2.38Buts contre par match 3.11
32.26%Pourcentage en avantage numérique39.47%
89.29%Pourcentage en désavantage numérique87.10%
Crunch
5-3-1, 11pts
2022-08-04
Americans
4-6-1, 9pts
Statistiques d’équipe
W1SéquenceW1
4-1-0Fiche domicile3-1-1
1-2-1Fiche visiteur1-5-0
5-3-110 derniers matchs4-5-1
3.67Buts par match 3.00
3.11Buts contre par match 3.36
39.47%Pourcentage en avantage numérique15.79%
87.10%Pourcentage en désavantage numérique77.50%
Meneurs d'équipe
Victoires
Christopher Gibson
5
Pourcentage d’arrêts
Spencer Martin
1

Statistiques d’équipe
Buts pour
33
3.67 GFG
Tirs pour
268
29.78 Avg
Pourcentage en avantage numérique
39.5%
15 GF
Début de zone offensive
38.2%
Buts contre
28
3.11 GAA
Tirs contre
322
35.78 Avg
Pourcentage en désavantage numérique
87.1%
4 GA
Début de la zone défensive
43.4%
Information d’équipe

Directeur généralSimon Bonneau
EntraîneurDany Dube
DivisionATLANTIQUE
ConférenceEST
CapitaineGabriel Dumont
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure22
Limite contact 47 / 55
Espoirs17


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
1John Leonard0X100.006236856672848667636765596866640506902411,137,500$
2Kyle Criscuolo0X100.006335776669837663746759566470720506803011,183,000$
3Gabriel Dumont (C)0X100.00625374626980836173656661637277050680312909,000$
4Stefan Matteau0X100.00784479598278665771605864566870050670282850,000$
5Lane Pederson0X100.00683681627482796076626159636667050670253700,000$
6Pierre-Cedric Labrie0X100.00804372538969845457555659557678050660351750,000$
7Dennis Yan0X100.00683476547781835552565758546567050650252846,000$
8Pavel Gogolev0X100.006337926072716258625960565962640506402221,700,000$
9Brandon Gignac0X100.005736926166827659636058576165670506402431,392,000$
10Nathan Schnarr (R)0X100.00737079687067715468574661444444050630231894,167$
11Carson Focht0X100.00633771586973745763565554586264050620222883,333$
12Chad Yetman0X100.00593691586869635651575453566264050610221750,000$
13Gabriel Carlsson0X100.00743894638879746230716067526567050710251888,000$
14Libor Hajek0X100.007131846685807463306459675364660507002441,092,656$
15Noah Juulsen0X100.00793687638183795930665967506567050700254937,500$
16Kale Clague0X100.00613681697285776730735960526466050690244961,652$
17Jacob Moverare0X100.007239916085827659306256654964660506802441,228,000$
18Chris Bigras0X100.00673987587666715730565554466769050630271891,000$
Rayé
1Alexandre Fortin0X100.00623793577178665653545552576567050620252700,000$
2Jack Dougherty0X100.00613894598061685630545254456668050620262862,000$
MOYENNE D’ÉQUIPE100.0067408461767774595261585955656705066
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
1Christopher Gibson100.00757170847473757473757470840507702921,464,000$
2Spencer Martin100.00767877827574767574767567770507702711,200,000$
Rayé
1Veini Vehvilainen100.00708280716968706968706967710507202521,300,000$
2Jack LaFontaine100.00707170816968706968706964710507202411,000,000$
3Hugo Alnefelt100.0065727376646365646365646165050680213925,000$
MOYENNE D’ÉQUIPE100.007175747970697170697170667405073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dany Dube75757575757575CAN5640$


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
1Gabriel DumontCrunch (TAM)C921113-420930289297.14%019822.050665250000251046.93%27700001.3101000100
2Gabriel CarlssonCrunch (TAM)D93912-26016141751317.65%1821523.983251025000023200.00%000001.1100000101
3Libor HajekCrunch (TAM)D95510-32016172531120.00%1421624.102131225101126000.00%000000.9200000002
4Kyle CriscuoloCrunch (TAM)C9279-3006301952510.53%117919.890440270110260053.47%24500101.0101000020
5Noah JuulsenCrunch (TAM)D9459-5602913177823.53%1019221.43448827000024000.00%000000.9300000020
6John LeonardCrunch (TAM)LW9178-34010153914322.56%120322.611347280002240047.62%2100000.7901000000
7Kale ClagueCrunch (TAM)D9257-520416175911.76%919621.851561327000028100.00%000000.7100000001
8Jacob MoverareCrunch (TAM)D9134112012785512.50%613515.030001200005000.00%000000.5900000000
9Nathan SchnarrCrunch (TAM)C9033-120101415670.00%111312.6200000000000046.34%12300000.5300000000
10Lane PedersonCrunch (TAM)C9213220712156413.33%19010.05213627000090055.13%7800000.6611000000
11Brandon GignacCrunch (TAM)LW9213-1000101511213.33%111312.6300000000000042.86%700000.5300000001
12Stefan MatteauCrunch (TAM)C9202-46020141261216.67%314916.64000020000001100.00%800000.2701000000
13Chad YetmanCrunch (TAM)RW920210025115018.18%0819.01101528000000016.67%1200000.4900000000
14Pavel GogolevCrunch (TAM)LW9112-40016124158.33%111913.2801100000010040.00%500000.3300000000
15Chris BigrasCrunch (TAM)D9011140933110.00%713114.610000200001000.00%000000.1500000000
16Carson FochtCrunch (TAM)C910110061112100.00%1535.8900000000000050.00%400000.3800000000
17Pierre-Cedric LabrieCrunch (TAM)LW9101-48014374814.29%216618.471014250000210054.55%1100000.1200000000
18Dennis YanCrunch (TAM)LW9101-1609573814.29%111512.8700002000000020.00%1000000.1700000000
Statistiques d’équipe totales ou en moyenne162325991-346201802152689020111.94%77267316.501527427127911232194149.44%80100100.6815000245
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
1Christopher GibsonCrunch (TAM)95310.9083.3450301283060101.000590210
2Spencer MartinCrunch (TAM)10001.0000.0045000160000.000009000
Statistiques d’équipe totales ou en moyenne105310.9133.0654901283220101.000599210


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 moyenPlafond 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
Alexandre FortinCrunch (TAM)LW251997-02-25No184 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Brandon GignacCrunch (TAM)LW241997-11-07No170 Lbs5 ft11NoNoNo3Pro & Farm1,392,000$1,392,000$650,000$0$0$No1,392,000$1,392,000$Lien
Carson FochtCrunch (TAM)C222000-02-04No180 Lbs6 ft0NoNoNo2Pro & Farm883,333$883,333$883,333$0$0$No883,333$Lien
Chad YetmanCrunch (TAM)RW222000-02-18No179 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$700,000$0$0$NoLien
Chris BigrasCrunch (TAM)D271995-02-22No191 Lbs6 ft1NoNoNo1Pro & Farm891,000$891,000$863,000$0$0$NoLien
Christopher GibsonCrunch (TAM)G291992-12-27No217 Lbs6 ft2NoNoNo2Pro & Farm1,464,000$1,464,000$0$0$No1,464,000$Lien
Dennis YanCrunch (TAM)LW251997-04-14No197 Lbs6 ft1NoNoNo2Pro & Farm846,000$846,000$525,000$0$0$No846,000$Lien
Gabriel CarlssonCrunch (TAM)D251997-01-02No195 Lbs6 ft5NoNoNo1Pro & Farm888,000$888,000$525,000$0$0$NoLien
Gabriel DumontCrunch (TAM)C311990-10-06No195 Lbs5 ft10NoNoNo2Pro & Farm909,000$909,000$0$0$No909,000$Lien
Hugo AlnefeltCrunch (TAM)G212001-06-04No177 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Jack DoughertyCrunch (TAM)D261996-05-25No196 Lbs6 ft2NoNoNo2Pro & Farm862,000$862,000$650,000$0$0$No862,000$Lien
Jack LaFontaineCrunch (TAM)G241998-01-06No204 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$700,000$0$0$NoLien
Jacob MoverareCrunch (TAM)D241998-08-31No210 Lbs6 ft3NoNoNo4Pro & Farm1,228,000$1,228,000$1,132,400$0$0$No1,228,000$1,228,000$1,228,000$Lien
John LeonardCrunch (TAM)LW241998-08-07No196 Lbs5 ft11NoNoNo1Pro & Farm1,137,500$1,137,500$1,137,500$0$0$NoLien
Kale ClagueCrunch (TAM)D241998-06-05No190 Lbs6 ft0NoNoNo4Pro & Farm961,652$961,652$952,075$0$0$No961,652$961,652$961,652$Lien
Kyle CriscuoloCrunch (TAM)C301992-05-05No175 Lbs5 ft9NoNoNo1Pro & Farm1,183,000$1,183,000$650,000$0$0$NoLien
Lane PedersonCrunch (TAM)C251997-08-04No192 Lbs6 ft0NoNoNo3Pro & Farm700,000$700,000$650,000$0$0$No700,000$700,000$Lien
Libor HajekCrunch (TAM)D241998-02-04No206 Lbs6 ft3NoNoNo4Pro & Farm1,092,656$1,092,656$650,000$0$0$No1,092,656$1,092,656$1,092,656$Lien
Nathan SchnarrCrunch (TAM)C231999-02-25Yes181 Lbs6 ft3NoNoNo1Pro & Farm894,167$894,167$786,669$0$0$NoLien
Noah JuulsenCrunch (TAM)D251997-04-02No201 Lbs6 ft2NoNoNo4Pro & Farm937,500$937,500$600,000$0$0$No937,500$937,500$937,500$Lien
Pavel GogolevCrunch (TAM)LW222000-02-19No173 Lbs6 ft1NoNoNo2Pro & Farm1,700,000$1,700,000$1,700,000$0$0$No1,700,000$Lien
Pierre-Cedric LabrieCrunch (TAM)LW351986-12-06No226 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Spencer MartinCrunch (TAM)G271995-06-08No191 Lbs6 ft3NoNoNo1Pro & Farm1,200,000$1,200,000$0$0$NoLien
Stefan MatteauCrunch (TAM)C281994-02-23No208 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$850,000$0$0$No850,000$Lien
Veini VehvilainenCrunch (TAM)G251997-02-13No181 Lbs6 ft0NoNoNo2Pro & Farm1,300,000$1,300,000$1,300,000$0$0$No1,300,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.48193 Lbs6 ft12.081,017,792$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John LeonardGabriel DumontStefan Matteau36113
2Pierre-Cedric LabrieKyle CriscuoloPavel Gogolev29122
3Dennis YanNathan SchnarrBrandon Gignac25041
4Carson FochtLane PedersonChad Yetman10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gabriel CarlssonLibor Hajek33122
2Noah JuulsenKale Clague30131
3Jacob MoverareChris Bigras24122
4Gabriel CarlssonLibor Hajek13122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John LeonardKyle CriscuoloChad Yetman50014
2Pierre-Cedric LabrieGabriel DumontLane Pederson50113
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gabriel CarlssonLibor Hajek50122
2Noah JuulsenKale Clague50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle CriscuoloJohn Leonard50122
2Gabriel DumontPierre-Cedric Labrie50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gabriel CarlssonLibor Hajek50122
2Noah JuulsenKale Clague50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kyle Criscuolo50122Gabriel CarlssonLibor Hajek50122
2Gabriel Dumont50122Noah JuulsenKale Clague50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle CriscuoloJohn Leonard50122
2Gabriel DumontPierre-Cedric Labrie50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gabriel CarlssonChris Bigras50122
2Noah JuulsenJacob Moverare50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardKyle CriscuoloChad YetmanGabriel CarlssonLibor Hajek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardKyle CriscuoloChad YetmanGabriel CarlssonLibor Hajek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lane Pederson, Pierre-Cedric Labrie, Dennis YanLane Pederson, Pierre-Cedric LabrieLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kale Clague, Jacob Moverare, Chris BigrasLibor HajekKale Clague, Jacob Moverare
Tirs de pénalité
John Leonard, Kyle Criscuolo, Gabriel Dumont, Stefan Matteau, Lane Pederson
Gardien
#1 : Christopher Gibson, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
John Leonard, Kyle Criscuolo, Gabriel Dumont, Stefan Matteau, Lane Pederson, Pierre-Cedric Labrie, Pierre-Cedric Labrie, Dennis Yan, Pavel Gogolev, Brandon Gignac, Nathan Schnarr
Lignes de défense personnalisées en prolongation
Gabriel Carlsson, Libor Hajek, Noah Juulsen, Kale Clague, Jacob Moverare


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
1Americans11000000523110000005230000000000021.00051015001471024898591061035108177342.86%4175.00%014430147.84%18534254.09%6714546.21%2211492087111958
2Binghamton Senateurs2020000049-51010000014-31010000035-200.0004711001471026298591061079191639400.00%8275.00%014430147.84%18534254.09%6714546.21%2211492087111958
3Checkers210010001183110000006421000100054141.00011213200147102619859106107418142710770.00%70100.00%014430147.84%18534254.09%6714546.21%2211492087111958
4Marlies21100000624110000005051010000012-120.500611170114710244985910610631765410330.00%30100.00%014430147.84%18534254.09%6714546.21%2211492087111958
5Rockets20000110770100000103211000010045-130.750710170014710253985910610711318437228.57%9188.89%114430147.84%18534254.09%6714546.21%2211492087111958
Total93301110332855310001020128402011001316-3110.611335992011471022689859106103227762180381539.47%31487.10%114430147.84%18534254.09%6714546.21%2211492087111958
_Since Last GM Reset93301110332855310001020128402011001316-3110.611335992011471022689859106103227762180381539.47%31487.10%114430147.84%18534254.09%6714546.21%2211492087111958
_Vs Conference93301110332855310001020128402011001316-3110.611335992011471022689859106103227762180381539.47%31487.10%114430147.84%18534254.09%6714546.21%2211492087111958
_Vs Division93301110332855310001020128402011001316-3110.611335992011471022689859106103227762180381539.47%31487.10%114430147.84%18534254.09%6714546.21%2211492087111958

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
911W1335992268322776218001
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
93311103328
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53100102012
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
40211001316
Derniers 10 matchs
WLOTWOTL SOWSOL
530100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
381539.47%31487.10%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
985910610147102
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
14430147.84%18534254.09%6714546.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2211492087111958


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
1 - 2022-07-179Checkers4Crunch6BWSommaire du match
2 - 2022-07-1820Crunch5Checkers4AWXSommaire du match
4 - 2022-07-2040Marlies0Crunch5BWSommaire du match
6 - 2022-07-2255Crunch4Rockets5ALXSommaire du match
8 - 2022-07-2472Crunch1Marlies2ALSommaire du match
9 - 2022-07-2584Americans2Crunch5BWSommaire du match
11 - 2022-07-27105Binghamton Senateurs4Crunch1BLSommaire du match
12 - 2022-07-28122Crunch3Binghamton Senateurs5ALSommaire du match
14 - 2022-07-30133Rockets2Crunch3BWXXSommaire du match
17 - 2022-08-02161Crunch-Griffins-
18 - 2022-08-03177Griffins-Crunch-
19 - 2022-08-04185Crunch-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05196Crunch-Providence Bruins-
22 - 2022-08-07212Providence Bruins-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3818
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,544,481$ 1,735,497$ 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$ 8 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

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

Crunch Statistiques de l'Équipe de Carrière


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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

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

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