Connexion

Crunch
GP: 18 | W: 14 | L: 4 | OTL: 0 | P: 28
GF: 55 | GA: 34 | PP%: 20.00% | PK%: 91.51%
DG: Benoit Gagné | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #196 vs Sound Tigers
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Centre de jeu
Bruins
14-3-1, 29pts
5
FINAL
2 Crunch
14-4-0, 28pts
Team Stats
W2SéquenceW1
8-0-1Fiche domicile8-1-0
6-3-0Fiche domicile6-3-0
8-2-0Derniers 10 matchs7-3-0
3.33Buts par match 3.06
2.00Buts contre par match 1.89
13.79%Pourcentage en avantage numérique20.00%
89.13%Pourcentage en désavantage numérique91.51%
Crunch
14-4-0, 28pts
5
FINAL
1 Griffins
8-9-0, 16pts
Team Stats
W1SéquenceL1
8-1-0Fiche domicile3-6-0
6-3-0Fiche domicile5-3-0
7-3-0Derniers 10 matchs4-6-0
3.06Buts par match 2.00
1.89Buts contre par match 2.59
20.00%Pourcentage en avantage numérique10.00%
91.51%Pourcentage en désavantage numérique85.56%
Crunch
14-4-0, 28pts
Jour 35
Sound Tigers
8-5-5, 21pts
Statistiques d’équipe
W1SéquenceW2
8-1-0Fiche domicile4-2-2
6-3-0Fiche visiteur4-3-3
7-3-010 derniers matchs6-2-2
3.06Buts par match 2.44
1.89Buts contre par match 2.44
20.00%Pourcentage en avantage numérique9.57%
91.51%Pourcentage en désavantage numérique87.50%
Heat
9-6-3, 21pts
Jour 36
Crunch
14-4-0, 28pts
Statistiques d’équipe
L4SéquenceW1
4-3-2Fiche domicile8-1-0
5-3-1Fiche visiteur6-3-0
5-4-110 derniers matchs7-3-0
2.11Buts par match 3.06
1.83Buts contre par match 3.06
11.88%Pourcentage en avantage numérique20.00%
85.45%Pourcentage en désavantage numérique91.51%
Crunch
14-4-0, 28pts
Jour 39
Wolves
10-8-0, 20pts
Statistiques d’équipe
W1SéquenceW1
8-1-0Fiche domicile5-3-0
6-3-0Fiche visiteur5-5-0
7-3-010 derniers matchs7-3-0
3.06Buts par match 2.33
1.89Buts contre par match 2.33
20.00%Pourcentage en avantage numérique12.37%
91.51%Pourcentage en désavantage numérique86.84%
Meneurs d'équipe
Buts
Alex Chiasson
13
Passes
Justin Schultz
12
Points
Justin Schultz
16
Plus/Moins
Alex Chiasson
12
Victoires
Brian Elliott
6
Pourcentage d’arrêts
Pheonix Copley
1

Statistiques d’équipe
Buts pour
55
3.06 GFG
Tirs pour
317
17.61 Avg
Pourcentage en avantage numérique
20.0%
20 GF
Début de zone offensive
39.0%
Buts contre
34
1.89 GAA
Tirs contre
308
17.11 Avg
Pourcentage en désavantage numérique
91.5%%
9 GA
Début de la zone défensive
38.9%
Informations de l'équipe

Directeur généralBenoit Gagné
EntraîneurPhil Housley
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1Zemgus Girgensons
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 60
Espoirs19


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
1Justin Danforth0XX100.00756583736551535965536663424949525000302750,000$
2Zemgus Girgensons (A)0XX100.007744937478648561506064772575756850002922,200,000$
3Juraj Slafkovsky (R)0XX100.00796076708762566845625964254747645000193950,000$
4Jesper Fast0X100.007844938571689859376964737574777050003122,000,000$
5Jordan Martinook0XX100.0075537979727288604271707925727473500N03132,000,000$
6Stefan Noesen0XX98.00785887747662928048747060256363725000302750,000$
7Oliver Wahlstrom0X100.007985758080627167377172594160617050002331,431,667$
8Noel Acciari0XX100.009757917471676760866171822566697350003121,250,000$
9Arnaud Durandeau (R)0X100.00716684676679846350616162584444655000241756,667$
10Brandon Duhaime0XX100.00949377747158836034527176255960705000264750,000$
11Peter Abbandonato0X100.00776994656963646278635665534444635000251950,000$
12Cal Foote0X100.00768566647966736325494878256061605000242850,000$
13Chad Ruhwedel0X100.00844588826965805625484782366566635000332750,000$
14Philip Broberg0X100.006743988376607162255147732552536150002231,713,333$
15Justin Schultz0X100.0063428480727491742567506725757865500N03323,000,000$
16Erik Gustafsson0X100.0069538981727982772572506575697165500N03132,800,000$
Rayé
1Alex Chiasson0X38.1169439078786275792662816136767874500N0323750,000$
2Michael Milne (R)0X100.00756792656770764950454861464444565000203950,000$
3Mitchell Stephens0X93.63726979726963646176566165585353645000264750,000$
4Josh Doan (R)0XXX100.00776899646851505771535664534444605000213925,000$
5Colin Miller6X94.557954867971707660255449692570706250003023,400,000$
6Connor Murphy0X100.008688767782788661254750892575756550003013,850,000$
7Ryan O'Rourke (R)0X100.00736591666569764525363959374444515000213925,000$
8Daniil Chayka (R)0X100.00797196647165714525344062384444525000203925,000$
9Nicolas Beaudin0X100.006967726667687255255441603946465550002331,105,000$
MOYENNE D’ÉQUIPE96.9277628673726675624257576938596064500
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
1Brian Elliott0100.00615255806656746265617973756350003821,700,000$
Rayé
1Nico Daws0100.0053546884525553585454304646545000223925,000$
2Jaroslav Halak4160.22635356656561846571638374766650003813,000,000$
3Petr Mrazek0100.006360617365608366656395676966500N03113,800,000$
4Pheonix Copley070.676967658374658671716985525271500N03133,325,000$
MOYENNE D’ÉQUIPE86.006257617764597664656274626464500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Phil Housley79788186878260USA6022,000,000$


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
1Justin SchultzCrunch (TBL)D184121662001017114136.36%1540522.52448977000057010%000000.7900000311
2Alex ChiassonCrunch (TBL)RW18131141217592443122630.23%129516.394049710000226032.65%4900000.9500010212
3Jordan MartinookCrunch (TBL)LW/RW166713312032243081320.00%429418.4043714690001591044.44%2700000.8800000100
4Connor MurphyCrunch (TBL)D183811104354012212914.29%1335819.902681669000068100%000000.6100010110
5Jesper FastCrunch (TBL)RW182911110018241571213.33%028215.702467760000100143.75%1600000.7800000002
6Erik GustafssonCrunch (TBL)D130111148027892110%728221.72066658000025000%000000.7800000111
7Stefan NoesenCrunch (TBL)LW/RW154610912014242782014.81%026417.631127640000162028.57%1400000.7600000210
8Noel AcciariCrunch (TBL)C/RW927954016211271116.67%016218.060442340000291061.58%17700001.1100000111
9Zemgus GirgensonsCrunch (TBL)C/LW18538110019222371021.74%032818.261346740000590045.57%32700000.4900000001
10Justin DanforthCrunch (TBL)C/RW182464201017212119.52%122712.641014140001261053.85%19500000.5300000010
11Chad RuhwedelCrunch (TBL)D18156-3220401611079.09%1531917.78000316000155000%000100.3800000000
12Colin MillerCrunch (TBL)D16145614011460416.67%1133520.96134565000061000%000000.3000000000
13Alexander BarabanovLightningLW/RW52243405954640.00%011122.230111200000240036.96%4600000.7200000000
14Philip BrobergCrunch (TBL)D18044-61201175020%629516.3900018000049000%000000.2700000000
15Dylan DeMeloLightningD3044320543120%86923.18011111000014000%000001.1500000100
16Oliver WahlstromCrunch (TBL)RW16224-28010161261016.67%017010.6601105000001036.36%1100000.4700000110
17Evan RodriguesLightningC/LW51343203967716.67%010120.220001210001240047.50%8000000.7900000000
18Brandon DuhaimeCrunch (TBL)LW/RW18224-23552114214179.52%322612.58000120001440023.08%1300000.3500001000
19Juraj SlafkovskyCrunch (TBL)LW/RW15112-3100116911111.11%115910.65000030000160038.46%1300000.2500000001
20Mitchell StephensCrunch (TBL)C82021005970728.57%110613.2900007000060047.50%8000000.3800000000
21Josh DoanCrunch (TBL)C/LW/RW611212025100100.00%16310.5900008000051031.71%4100000.6300000000
22Arnaud DurandeauCrunch (TBL)LW17112-24087133117.69%01508.8400017000000040.00%1000000.2700000010
23Jonas SiegenthalerLightningD2011020220000%12412.430000300002000%000000.8000000000
24Cal FooteCrunch (TBL)D2000-120420000%13618.130000400009000%00000000000000
25Peter AbbandonatoCrunch (TBL)C14000-500796470%11168.3200011000020063.33%900000000000000
Statistiques d’équipe totales ou en moyenne324559815348257153403123178921517.35%90518716.0120375795799000569214248.86%118900100.59000211399
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
1Brian ElliottCrunch (TBL)86200.8273.15457002413901000610001
2Petr MrazekCrunch (TBL)74100.9251.13319036800000061012
3Scott WedgewoodLightning44000.9181.53235016730000040100
4Jaroslav HalakCrunch (TBL)63100.9490.92261024790000051200
5Pheonix CopleyCrunch (TBL)11001.000041000100000010000
Statistiques d’équipe totales ou en moyenne2618400.8951.831314064038101002212313


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Alex Chiasson (sur la masse salariale)Crunch (TBL)RW321990-10-01No208 Lbs6 ft4YesNoNoNo3Pro & Farm750,000$590,323$750,000$590,323$0$0$Yes750,000$750,000$Lien
Arnaud DurandeauCrunch (TBL)LW241999-01-14Yes181 Lbs5 ft11NoNoNoNo1Pro & Farm756,667$595,570$756,667$595,570$0$0$NoLien
Brandon DuhaimeCrunch (TBL)LW/RW261997-05-22No185 Lbs6 ft0NoNoNoNo4Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$750,000$Lien
Brian ElliottCrunch (TBL)G381985-04-09No209 Lbs6 ft2NoNoNoNo2Pro & Farm1,700,000$1,338,065$1,700,000$1,338,065$0$0$No1,700,000$Lien
Cal FooteCrunch (TBL)D241998-12-13No209 Lbs6 ft3NoNoNoNo2Pro & Farm850,000$669,032$850,000$669,032$0$0$No850,000$Lien
Chad RuhwedelCrunch (TBL)D331990-05-06No191 Lbs5 ft11NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Colin Miller (sur la masse salariale)Crunch (TBL)D301992-10-29No193 Lbs6 ft1NoNoNoNo2Pro & Farm3,400,000$2,676,129$3,400,000$2,676,129$0$0$Yes3,400,000$Lien
Connor MurphyCrunch (TBL)D301993-03-26No212 Lbs6 ft4NoNoNoNo1Pro & Farm3,850,000$3,030,323$3,850,000$3,030,323$0$0$NoLien
Daniil ChaykaCrunch (TBL)D202002-10-22Yes187 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Erik GustafssonCrunch (TBL)D311992-03-14No197 Lbs6 ft0YesNoNoNo3Pro & Farm2,800,000$2,203,871$2,800,000$2,203,871$0$0$No2,800,000$2,800,000$Lien
Jaroslav Halak (sur la masse salariale)Crunch (TBL)G381985-05-13No185 Lbs5 ft11NoNoNoNo1Pro & Farm3,000,000$2,361,290$3,000,000$2,361,290$0$0$YesLien
Jesper FastCrunch (TBL)RW311991-12-02No191 Lbs6 ft1NoNoNoNo2Pro & Farm2,000,000$1,574,194$2,000,000$1,574,194$0$0$No2,000,000$Lien
Jordan MartinookCrunch (TBL)LW/RW311992-07-25No196 Lbs6 ft0YesNoNoNo3Pro & Farm2,000,000$1,574,194$2,000,000$1,574,194$0$0$No2,000,000$2,000,000$Lien
Josh DoanCrunch (TBL)C/LW/RW212002-02-01Yes183 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Juraj SlafkovskyCrunch (TBL)LW/RW192004-03-30Yes238 Lbs6 ft3NoNoNoNo3Pro & Farm950,000$747,742$950,000$747,742$0$0$No950,000$950,000$
Justin DanforthCrunch (TBL)C/RW301993-03-15No185 Lbs5 ft9NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Justin SchultzCrunch (TBL)D331990-07-06No193 Lbs6 ft2YesNoNoNo2Pro & Farm3,000,000$2,361,290$3,000,000$2,361,290$0$0$No3,000,000$Lien
Michael MilneCrunch (TBL)LW202002-09-21Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm950,000$747,742$950,000$747,742$0$0$No950,000$950,000$
Mitchell Stephens (sur la masse salariale)Crunch (TBL)C261997-02-05No193 Lbs5 ft11NoNoNoNo4Pro & Farm750,000$590,323$750,000$590,323$0$0$Yes750,000$750,000$750,000$Lien
Nico DawsCrunch (TBL)G222000-12-22No205 Lbs6 ft4NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$Lien
Nicolas BeaudinCrunch (TBL)D231999-10-07No188 Lbs5 ft11NoNoNoNo3Pro & Farm1,105,000$869,742$1,105,000$869,742$0$0$No1,105,000$1,105,000$Lien
Noel AcciariCrunch (TBL)C/RW311991-12-01No203 Lbs5 ft10NoNoNoNo2Pro & Farm1,250,000$983,871$1,250,000$983,871$0$0$No1,250,000$Lien
Oliver WahlstromCrunch (TBL)RW232000-06-13No211 Lbs6 ft2NoNoNoNo3Pro & Farm1,431,667$1,126,860$1,431,667$1,126,860$0$0$No1,431,667$1,431,667$Lien
Peter AbbandonatoCrunch (TBL)C251998-03-25No194 Lbs5 ft11NoNoNoNo1Pro & Farm950,000$747,742$950,000$747,742$0$0$NoLien
Petr MrazekCrunch (TBL)G311992-02-14No190 Lbs6 ft1YesNoNoNo1Pro & Farm3,800,000$2,990,968$3,800,000$2,990,968$0$0$NoLien
Pheonix Copley (sur la masse salariale)Crunch (TBL)G311992-01-18No200 Lbs6 ft4YesNoNoNo3Pro & Farm3,325,000$2,617,097$3,325,000$2,617,097$0$0$Yes3,325,000$3,325,000$Lien
Philip BrobergCrunch (TBL)D222001-06-25No200 Lbs6 ft3NoNoNoNo3Pro & Farm1,713,333$1,348,559$1,713,333$1,348,559$0$0$No1,713,333$1,713,333$Lien
Ryan O'RourkeCrunch (TBL)D212002-05-16Yes178 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Stefan NoesenCrunch (TBL)LW/RW301993-02-12No205 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Zemgus GirgensonsCrunch (TBL)C/LW291994-01-05No211 Lbs6 ft2NoNoNoNo2Pro & Farm2,200,000$1,731,613$2,200,000$1,731,613$0$0$No2,200,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.50197 Lbs6 ft12.401,641,056$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan NoesenNoel Acciari35122
2Jordan MartinookZemgus GirgensonsJesper Fast30122
3Brandon DuhaimeJustin DanforthOliver Wahlstrom25122
4Arnaud DurandeauPeter AbbandonatoJuraj Slafkovsky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonJustin Schultz35122
2Cal Foote30122
3Chad RuhwedelPhilip Broberg25122
4Erik GustafssonJustin Schultz10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan NoesenZemgus Girgensons60122
2Jordan MartinookNoel AcciariJesper Fast40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonJustin Schultz60122
2Cal Foote40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zemgus GirgensonsJordan Martinook55122
2Noel AcciariBrandon Duhaime45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad Ruhwedel55122
2Cal FootePhilip Broberg45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Noel Acciari60122Chad Ruhwedel60122
2Zemgus Girgensons40122Erik GustafssonCal Foote40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin DanforthStefan Noesen60122
2Noel AcciariJesper Fast40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonJustin Schultz60122
2Cal Foote40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stefan NoesenZemgus GirgensonsErik GustafssonJustin Schultz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan MartinookZemgus GirgensonsBrandon DuhaimeChad Ruhwedel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Stefan Noesen, Zemgus Girgensons, Justin DanforthJordan Martinook
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Schultz, , Philip BrobergErik Gustafsson, Chad Ruhwedel
Tirs de pénalité
, Stefan Noesen, Jordan Martinook, Jesper Fast, Oliver Wahlstrom
Gardien
#1 : , #2 : Brian Elliott
Lignes d’attaque personnalisées en prolongation
, Stefan Noesen, Jesper Fast, Noel Acciari, Brandon Duhaime, Arnaud Durandeau, Arnaud Durandeau, Zemgus Girgensons, Peter Abbandonato, Juraj Slafkovsky, Oliver Wahlstrom
Lignes de défense personnalisées en prolongation
Erik Gustafsson, Justin Schultz, , Cal Foote, Chad Ruhwedel


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
167s22000000422110000002111100000021141.000471100171918135101108107138737499222.22%14285.71%023046349.68%21946247.40%13226350.19%451309404131225119
2Bruins403010001318-51010000025-3302010001113-220.2501324370017191816910110810716321578820420.00%23673.91%023046349.68%21946247.40%13226350.19%451309404131225119
3Griffins44000000155102200000051422000000104681.0001527420117191817710110810716323566618422.22%270100.00%023046349.68%21946247.40%13226350.19%451309404131225119
4Marlies21100000431110000002021010000023-120.500461001171918135101108107133922401000.00%11190.91%023046349.68%21946247.40%13226350.19%451309404131225119
5Monsters11000000321110000003210000000000021.00035800171918118101108107114410209111.11%50100.00%023046349.68%21946247.40%13226350.19%451309404131225119
6Rocket22000000404110000003031100000010141.000481202171918130101108107137837301516.67%100100.00%023046349.68%21946247.40%13226350.19%451309404131225119
7Stars22000000936220000009360000000000041.000918270117191813810110810713612223516743.75%80100.00%023046349.68%21946247.40%13226350.19%451309404131225119
8Wolf Pack11000000312000000000001100000031221.00033600171918115101108107124616123133.33%80100.00%023046349.68%21946247.40%13226350.19%451309404131225119
Total1813401000553421981000002612149530100029227280.77855981530517191813171011081071308902573401002020.00%106991.51%023046349.68%21946247.40%13226350.19%451309404131225119
_Since Last GM Reset1813401000553421981000002612149530100029227280.77855981530517191813171011081071308902573401002020.00%106991.51%023046349.68%21946247.40%13226350.19%451309404131225119
_Vs Conference127401000312655410000012847330100019181160.66731538403171918120210110810712095517923966913.64%71987.32%023046349.68%21946247.40%13226350.19%451309404131225119
_Vs Division1454010004028126310000014778230100026215120.4294072112041719181246101108107123468209273721115.28%85989.41%023046349.68%21946247.40%13226350.19%451309404131225119

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1828W155981533173089025734005
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1813410005534
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
98100002612
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95310002922
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1002020.00%106991.51%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
10110810711719181
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
23046349.68%21946247.40%13226350.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
451309404131225119


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
310Griffins1Crunch3BWSommaire du match
520Crunch5Bruins4AWXSommaire du match
726Stars3Crunch4BWSommaire du match
945Monsters2Crunch3BWSommaire du match
1052Crunch5Griffins3AWSommaire du match
1262Crunch1Rocket0AWSommaire du match
1371Crunch2Marlies3ALSommaire du match
168267s1Crunch2BWSommaire du match
1893Rocket0Crunch3BWSommaire du match
19101Crunch3Bruins5ALSommaire du match
20113Crunch267s1AWSommaire du match
22124Marlies0Crunch2BWSommaire du match
24134Crunch3Wolf Pack1AWSommaire du match
26147Stars0Crunch5BWSommaire du match
29162Crunch3Bruins4ALSommaire du match
30166Griffins0Crunch2BWSommaire du match
31180Bruins5Crunch2BLSommaire du match
33188Crunch5Griffins1AWSommaire du match
35196Crunch-Sound Tigers-
36210Heat-Crunch-
39223Crunch-Wolves-
41233Sound Tigers-Crunch-
42243Crunch-Gulls-
44255IceHogs-Crunch-
45266Crunch-IceHogs-
4727867s-Crunch-
49289Crunch-Marlies-
50293Crunch-Barracuda-
52305Monsters-Crunch-
54321Crunch-Stars-
55328Gulls-Crunch-
56335Crunch-Monsters-
59349Sound Tigers-Crunch-
62359Crunch-Griffins-
64372Barracuda-Crunch-
66382Crunch-67s-
68393Wolves-Crunch-
70407Crunch-Bruins-
71416Phantoms-Crunch-
73428Crunch-Rocket-
75438Phantoms-Crunch-
77453Monarchs-Crunch-
78463Crunch-Thunderbird-
81475Penguins-Crunch-
82486Crunch-Marlies-
84495Crunch-Wolf Pack-
8650367s-Crunch-
88519Eagles-Crunch-
90527Crunch-Penguins-
92539Crunch-Moose-
93546Moose-Crunch-
95556Crunch-Wolf Pack-
96569Stars-Crunch-
99583Crunch-Monarchs-
100589Crunch-Eagles-
101593Thunderbird-Crunch-
103610Wolf Pack-Crunch-
105621Crunch-IceHogs-
107633Wolf Pack-Crunch-
109643Crunch-Phantoms-
111652Crunch-Sound Tigers-
112659Rocket-Crunch-
115678Condors-Crunch-
116685Crunch-67s-
118696Crunch-Penguins-
119703Stars-Crunch-
120713Crunch-Phantoms-
121725Bruins-Crunch-
124743Penguins-Crunch-
126754Crunch-Monsters-
127761Crunch-Condors-
129769Rocket-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
132786Bruins-Crunch-
134799Crunch-Barracuda-
135808Crunch-Rocket-
136812Barracuda-Crunch-
140831Marlies-Crunch-
142836Crunch-Heat-
144846Crunch-Monsters-
146858Griffins-Crunch-
149880Marlies-Crunch-
153898Griffins-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,308,585$ 3,800,667$ 3,800,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 882,777$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 37,424$ 4,565,728$




Crunch Leaders statistiques des joueurs (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

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 des joueurs (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