Connexion

Crunch
GP: 4 | W: 2 | L: 2
GF: 7 | GA: 8 | PP%: 17.39% | PK%: 82.35%
DG: Benoit Gagné | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #36 vs Phantoms
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Centre de jeu
Crunch
2-2-0, 4pts
0
FINAL
2 Phantoms
2-2-0, 4pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-2-0Derniers 10 matchs2-1-1
1.75Buts par match 2.00
2.00Buts contre par match 1.75
17.39%Pourcentage en avantage numérique17.65%
82.35%Pourcentage en désavantage numérique82.61%
Crunch
2-2-0, 4pts
2
FINAL
1 Phantoms
2-2-0, 4pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-2-0Derniers 10 matchs2-1-1
1.75Buts par match 2.00
2.00Buts contre par match 1.75
17.39%Pourcentage en avantage numérique17.65%
82.35%Pourcentage en désavantage numérique82.61%
Phantoms
2-2-0, 4pts
Jour 9
Crunch
2-2-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-1-110 derniers matchs2-2-0
2.00Buts par match 1.75
1.75Buts contre par match 1.75
17.65%Pourcentage en avantage numérique17.39%
82.61%Pourcentage en désavantage numérique82.35%
Crunch
2-2-0, 4pts
Jour 11
Phantoms
2-2-0, 4pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs2-1-1
1.75Buts par match 2.00
2.00Buts contre par match 2.00
17.39%Pourcentage en avantage numérique17.65%
82.35%Pourcentage en désavantage numérique82.61%
Phantoms
2-2-0, 4pts
Jour 13
Crunch
2-2-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-1-110 derniers matchs2-2-0
2.00Buts par match 1.75
1.75Buts contre par match 1.75
17.65%Pourcentage en avantage numérique17.39%
82.61%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Buts
Alexander Barabanov
2
Passes
Alexander Barabanov
2
Points
Alexander Barabanov
4
Plus/Moins
Philip Broberg
2
Victoires
Pheonix Copley
2
Pourcentage d’arrêts
Pheonix Copley
0.87

Statistiques d’équipe
Buts pour
7
1.75 GFG
Tirs pour
71
17.75 Avg
Pourcentage en avantage numérique
17.4%
4 GF
Début de zone offensive
39.4%
Buts contre
8
2.00 GAA
Tirs contre
59
14.75 Avg
Pourcentage en désavantage numérique
82.4%%
6 GA
Début de la zone défensive
42.7%
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
Espoirs14


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
1Alex Chiasson0X100.0069439078786275792662816136767874500N0323750,000$
2Alexander Barabanov0XX100.006742908068788681348273654560607550002923,500,000$
3Justin Danforth0XX100.00756583736551535965536663424949525000302750,000$
4Zemgus Girgensons (A)0XX100.007744937478648561506064772575756850002922,200,000$
5Juraj Slafkovsky (R)0XX100.00796076708762566845625964254747645000193950,000$
6Jesper Fast0X100.007844938571689859376964737574777050003122,000,000$
7Jordan Martinook0XX100.0075537979727288604271707925727473500N03132,000,000$
8Mitchell Stephens0X100.00726979726963646176566165585353645000264750,000$
9Stefan Noesen0XX100.00785887747662928048747060256363725000302750,000$
10Evan Rodrigues0XX100.006541878166789376597674676969707450003023,000,000$
11Noel Acciari0XX100.009757917471676760866171822566697350003121,250,000$
12Brandon Duhaime0XX100.00949377747158836034527176255960705000264750,000$
13Chad Ruhwedel0X100.00844588826965805625484782366566635000332750,000$
14Jonas Siegenthaler0X100.007845847679809258255548852565656550002641,125,000$
15Philip Broberg0X100.006743988376607162255147732552536150002231,713,333$
16Justin Schultz0X100.0063428480727491742567506725757865500N03323,000,000$
17Nicolas Beaudin0X100.006967726667687255255441603946465550002331,105,000$
18Erik Gustafsson0X100.0069538981727982772572506575697165500N03132,800,000$
Rayé
1Michael Milne (R)0X100.00756792656770764950454861464444565000203950,000$
2Josh Doan (R)0XXX100.00776899646851505771535664534444605000213925,000$
3Arnaud Durandeau (R)0X100.00716684676679846350616162584444655000241756,667$
4Peter Abbandonato0X100.00776994656963646278635665534444635000251950,000$
5Cal Foote0X100.00768566647966736325494878256061605000242850,000$
6Colin Miller6X100.007954867971707660255449692570706250003023,400,000$
7Ryan O'Rourke (R)0X100.00736591666569764525363959374444515000213925,000$
8Daniil Chayka (R)0X100.00797196647165714525344062384444525000203925,000$
MOYENNE D’ÉQUIPE100.0076588674726777634258586940596064500
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
1Jaroslav Halak41100.00635356656561846571638374766650003813,000,000$
2Pheonix Copley0100.006967658374658671716985525271500N03133,325,000$
Rayé
1Brian Elliott0100.00615255806656746265617973756350003821,700,000$
2Petr Mrazek0100.006360617365608366656395676966500N03113,800,000$
MOYENNE D’ÉQUIPE100.006458597568618266686486676867500
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
1Alexander BarabanovCrunch (TBL)LW/RW422410032115518.18%16516.4521371800008100%200001.2200000100
2Alex ChiassonCrunch (TBL)RW41231402150320.00%06416.12011118000020140.00%500000.9300000000
3Evan RodriguesCrunch (TBL)C/LW4123-1203983812.50%08120.32022218000001060.98%8200000.7400000100
4Philip BrobergCrunch (TBL)D41122002140025.00%28020.2210126000027010%000000.4900000011
5Chad RuhwedelCrunch (TBL)D41011604620150.00%108521.3000004101226000%000000.2300000100
6Colin MillerCrunch (TBL)D30112275503100%04214.1901111000007000%000000.4700000000
7Connor MurphyLightningD3011180602010%36722.39000111011018000%000000.3000000000
8Jonas SiegenthalerCrunch (TBL)D1011000120010%12727.550110200008000%000000.7300000000
9Erik GustafssonCrunch (TBL)D4101-2605332333.33%38521.3910121800005000%000000.2300000000
10Justin DanforthCrunch (TBL)C/RW4000100111000%0225.6500014000090044.44%180000000000000
11Zemgus GirgensonsCrunch (TBL)C/LW4000120532030%07318.30000020000220048.00%250000000000000
12Juraj SlafkovskyCrunch (TBL)LW/RW4000-100325110%0287.1700001000000033.33%30000000000000
13Jesper FastCrunch (TBL)RW4000140545320%06315.750000000001800100.00%20000000000000
14Jordan MartinookCrunch (TBL)LW/RW4000020752390%08721.890000140000290060.00%50000000000000
15Justin SchultzCrunch (TBL)D4000-220521040%49122.79000118000012000%00000000000000
16Mitchell StephensCrunch (TBL)C4000040184210%14511.4300000000000056.82%440000000000000
17Stefan NoesenCrunch (TBL)LW/RW4000060158040%06015.15000214000000040.00%50000000000000
18Nicolas BeaudinCrunch (TBL)D1000000100000%02222.730000000008000%00000000000000
19Noel AcciariCrunch (TBL)C/RW4000080774140%18421.220001150000270066.67%810000000000000
20Brandon DuhaimeCrunch (TBL)LW/RW4000-11610211120%1256.340000000000000%20000000011000
Statistiques d’équipe totales ou en moyenne72710174971569627122529.86%27120516.7546102118111222332258.03%27400000.2800011311
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
1Pheonix CopleyCrunch (TBL)32100.8701.86194006460000031000
2Jaroslav HalakCrunch (TBL)10100.8462.0060202130000013000
Statistiques d’équipe totales ou en moyenne42200.8641.8925420859000044000


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex ChiassonCrunch (TBL)RW321990-10-01No208 Lbs6 ft4YesNoN/ANoNo3FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$-------YesYes-------Lien
Alexander BarabanovCrunch (TBL)LW/RW291994-06-16No192 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm3,500,000$1,500,000$3,500,000$1,500,000$0$0$No3,500,000$--------No--------Lien
Arnaud DurandeauCrunch (TBL)LW241999-01-14Yes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm756,667$324,286$756,667$324,286$0$0$No------------------Lien
Brandon DuhaimeCrunch (TBL)LW/RW261997-05-22No185 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Brian ElliottCrunch (TBL)G381985-04-09No209 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,700,000$728,571$1,700,000$728,571$0$0$No1,700,000$--------No--------Lien
Cal FooteCrunch (TBL)D241998-12-13No209 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm850,000$364,286$850,000$364,286$0$0$No850,000$--------No--------Lien
Chad RuhwedelCrunch (TBL)D331990-05-06No191 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Colin MillerCrunch (TBL)D301992-10-29No193 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm3,400,000$1,457,143$3,400,000$1,457,143$0$0$No3,400,000$--------No--------Lien
Daniil ChaykaCrunch (TBL)D202002-10-22Yes187 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Erik GustafssonCrunch (TBL)D311992-03-14No197 Lbs6 ft0YesNoN/ANoNo3FalseFalsePro & Farm2,800,000$1,200,000$2,800,000$1,200,000$0$0$No2,800,000$2,800,000$-------YesYes-------Lien
Evan RodriguesCrunch (TBL)C/LW301993-07-28No184 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm3,000,000$1,285,714$3,000,000$1,285,714$0$0$No3,000,000$--------No--------Lien
Jaroslav HalakCrunch (TBL)G381985-05-13No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$1,285,714$3,000,000$1,285,714$0$0$No------------------Lien
Jesper FastCrunch (TBL)RW311991-12-02No191 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$857,143$2,000,000$857,143$0$0$No2,000,000$--------No--------Lien
Jonas SiegenthalerCrunch (TBL)D261997-05-06No210 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm1,125,000$482,143$1,125,000$482,143$0$0$No1,125,000$1,125,000$1,125,000$------NoNoNo------Lien
Jordan MartinookCrunch (TBL)LW/RW311992-07-25No196 Lbs6 ft0YesNoN/ANoNo3FalseFalsePro & Farm2,000,000$857,143$2,000,000$857,143$0$0$No2,000,000$2,000,000$-------YesYes-------Lien
Josh DoanCrunch (TBL)C/LW/RW212002-02-01Yes183 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Juraj SlafkovskyCrunch (TBL)LW/RW192004-03-30Yes238 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm950,000$407,143$950,000$407,143$0$0$No950,000$950,000$-------NoNo-------
Justin DanforthCrunch (TBL)C/RW301993-03-15No185 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Justin SchultzCrunch (TBL)D331990-07-06No193 Lbs6 ft2YesNoN/ANoNo2FalseFalsePro & Farm3,000,000$1,285,714$3,000,000$1,285,714$0$0$No3,000,000$--------Yes--------Lien
Michael MilneCrunch (TBL)LW202002-09-21Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm950,000$407,143$950,000$407,143$0$0$No950,000$950,000$-------NoNo-------
Mitchell StephensCrunch (TBL)C261997-02-05No193 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$750,000$------NoNoNo------Lien
Nicolas BeaudinCrunch (TBL)D231999-10-07No188 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,105,000$473,571$1,105,000$473,571$0$0$No1,105,000$1,105,000$-------NoNo-------Lien
Noel AcciariCrunch (TBL)C/RW311991-12-01No203 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$535,714$1,250,000$535,714$0$0$No1,250,000$--------No--------Lien
Peter AbbandonatoCrunch (TBL)C251998-03-25No194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$407,143$950,000$407,143$0$0$No------------------Lien
Petr MrazekCrunch (TBL)G311992-02-14No190 Lbs6 ft1YesNoN/ANoNo1FalseFalsePro & Farm3,800,000$1,628,571$3,800,000$1,628,571$0$0$No------------------Lien
Pheonix CopleyCrunch (TBL)G311992-01-18No200 Lbs6 ft4YesNoN/ANoNo3FalseFalsePro & Farm3,325,000$1,425,000$3,325,000$1,425,000$0$0$No3,325,000$3,325,000$-------YesYes-------Lien
Philip BrobergCrunch (TBL)D222001-06-25No200 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,713,333$734,286$1,713,333$734,286$0$0$No1,713,333$1,713,333$-------NoNo-------Lien
Ryan O'RourkeCrunch (TBL)D212002-05-16Yes178 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Stefan NoesenCrunch (TBL)LW/RW301993-02-12No205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Zemgus GirgensonsCrunch (TBL)C/LW291994-01-05No211 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm2,200,000$942,857$2,200,000$942,857$0$0$No2,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.83195 Lbs6 ft12.431,688,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovEvan RodriguesJordan Martinook35113
2Stefan NoesenNoel AcciariAlex Chiasson35122
3Zemgus GirgensonsMitchell StephensJesper Fast20131
4Juraj SlafkovskyEvan RodriguesBrandon Duhaime10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonJustin Schultz35122
2Chad RuhwedelJonas Siegenthaler35122
3Nicolas BeaudinPhilip Broberg25122
4Erik GustafssonJustin Schultz5023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovEvan RodriguesAlex Chiasson60005
2Stefan NoesenNoel AcciariJordan Martinook40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonJustin Schultz60005
2Jonas SiegenthalerPhilip Broberg40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Noel AcciariJordan Martinook60131
2Zemgus GirgensonsJesper Fast40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelJonas Siegenthaler60131
2Philip BrobergNicolas Beaudin40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Noel Acciari60131Chad RuhwedelJonas Siegenthaler60131
2Zemgus Girgensons40131Philip BrobergNicolas Beaudin40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin DanforthJordan Martinook60122
2Zemgus GirgensonsStefan Noesen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzPhilip Broberg60122
2Erik GustafssonNicolas Beaudin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovEvan RodriguesAlex ChiassonErik GustafssonJustin Schultz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan MartinookNoel AcciariJesper FastJonas SiegenthalerChad Ruhwedel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evan Rodrigues, Alexander Barabanov, Noel AcciariEvan Rodrigues, Alexander BarabanovNoel Acciari
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Gustafsson, Justin Schultz, Jonas SiegenthalerErik GustafssonJonas Siegenthaler, Chad Ruhwedel
Tirs de pénalité
Erik Gustafsson, Jesper Fast, Evan Rodrigues, Mitchell Stephens, Alexander Barabanov
Gardien
#1 : Pheonix Copley, #2 : Jaroslav Halak
Lignes d’attaque personnalisées en prolongation
Evan Rodrigues, Alexander Barabanov, Stefan Noesen, Jordan Martinook, Alex Chiasson, Jesper Fast, Jesper Fast, Zemgus Girgensons, Mitchell Stephens, Juraj Slafkovsky, Brandon Duhaime
Lignes de défense personnalisées en prolongation
Erik Gustafsson, Justin Schultz, Jonas Siegenthaler, Chad Ruhwedel, Philip Broberg


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
1Phantoms4220000078-1211000005502110000023-140.500710170022217116153465927996923417.39%34682.35%15710852.78%7211761.54%304961.22%1016597345627
Total4220000078-1211000005502110000023-140.500710170022217116153465927996923417.39%34682.35%15710852.78%7211761.54%304961.22%1016597345627
_Since Last GM Reset4220000078-1211000005502110000023-140.500710170022217116153465927996923417.39%34682.35%15710852.78%7211761.54%304961.22%1016597345627
_Vs Conference4220000078-1211000005502110000023-140.500710170022217116153465927996923417.39%34682.35%15710852.78%7211761.54%304961.22%1016597345627

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44W171017715927996900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
422000078
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000055
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000023
Derniers 10 matchs
WLOTWOTL SOWSOL
220000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23417.39%34682.35%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
16153462221
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
5710852.78%7211761.54%304961.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1016597345627


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
14Phantoms3Crunch2LSommaire du match
312Phantoms2Crunch3WSommaire du match
520Crunch0Phantoms2LSommaire du match
728Crunch2Phantoms1WXSommaire du match
936Phantoms-Crunch-
1144Crunch-Phantoms-
1352Phantoms-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
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 5,065,000$ 5,065,000$ 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$ 6 0$ 0$




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