Connexion

Crunch
GP: 12 | W: 6 | L: 6
GF: 46 | GA: 43 | PP%: 12.50% | PK%: 77.08%
DG: DISPO INterim Washington | Morale : 94 | Moyenne d’équipe : 66
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Centre de jeu
Sound Tigers
8-4-0, 16pts
3
FINAL
5 Crunch
6-6-0, 12pts
Team Stats
W1SéquenceL1
5-1-0Fiche domicile5-1-0
3-3-0Fiche domicile1-5-0
7-3-0Derniers 10 matchs4-5-1
4.25Buts par match 3.83
3.75Buts contre par match 3.58
30.61%Pourcentage en avantage numérique12.50%
84.38%Pourcentage en désavantage numérique77.08%
Crunch
6-6-0, 12pts
3
FINAL
4 Sound Tigers
8-4-0, 16pts
Team Stats
L1SéquenceW1
5-1-0Fiche domicile5-1-0
1-5-0Fiche domicile3-3-0
4-5-1Derniers 10 matchs7-3-0
3.83Buts par match 4.25
3.58Buts contre par match 3.75
12.50%Pourcentage en avantage numérique30.61%
77.08%Pourcentage en désavantage numérique84.38%
Meneurs d'équipe
Mike VecchioneButs
Mike Vecchione
8
Thomas TynanPasses
Thomas Tynan
10
Thomas TynanPoints
Thomas Tynan
16
Plus/Moins
Blaine Byron
9
Victoires
Tyler Parsons
6
Pourcentage d’arrêts
Tyler Parsons
0.898

Statistiques d’équipe
Buts pour
46
3.83 GFG
Tirs pour
428
35.67 Avg
Pourcentage en avantage numérique
12.5%
4 GF
Début de zone offensive
39.4%
Buts contre
43
3.58 GAA
Tirs contre
412
34.33 Avg
Pourcentage en désavantage numérique
77.1%%
11 GA
Début de la zone défensive
40.8%
Informations de l'équipe

Directeur généralDISPO INterim Washington
EntraîneurBrian Wiseman
DivisionDivision Sud-Est
ConférenceConference Est
CapitaineBlaine Byron
Assistant #1Garnet Hathaway
Assistant #2Jaycob Megna


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 80
Espoirs20


Historique d'équipe

Saison actuelle6-6
Historique152-148-28 (0.463%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)8-10
Coupe Stanley0


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
1Riley NashX100.006838926378857663917272817278750237003412,800,000$
2Thomas TynanX100.005934917470818473897471727472720777003142,150,000$
3Jean-Christophe Beaudin (R)XX100.00683978798774756776717171656567079690271825,000$
4Kody Clark (R)X100.00663778759179827665686967696567079690241625,000$
5Mason Shaw (R)XX100.00573574818568736981727069696566080690251825,000$
6Nicolas Aube-KubelX100.008343766571798375677174727567680806902731,100,000$
7Garnet Hathaway (A)X100.009076726782819060686969737573750796903232,800,000$
8Mike VecchioneXX100.00593591737976817482697170737571077690313900,000$
9Blaine Byron (C)XX100.00634382737974797286676765727169079670292950,000$
10Paul Bittner (R)X100.00815374679087926063606065656965079660274650,000$
11Patrick Harper (R)XX100.00573593727071766073696869716566079660252650,000$
12Aaron Luchuk (R)X100.00593492676877606470666663505050068630274525,000$
13Jaycob Megna (A)X100.00887479539785905330716470557775079700311925,000$
14Axel Andersson (R)X100.00613789808667657730697271566264065690241625,000$
15Mikko Kokkonen (R)X100.00703582688270756530645067505050057650233525,000$
16Xavier Bouchard (R)X100.00553582657570706530655570505050079630243525,000$
17Vojtech Budik (R)X100.00454580658065656530656467505050036620261525,000$
18Luke Prokop (R)X100.00563583656560706030655567555050018610213525,000$
Rayé
1Blake McLaughlin (R)XX100.00653572607265756345636362505050037610243525,000$
2Vaclav KarabacekX100.00403885607065806545606062505050033600281525,000$
3Austin StrandX69.78743986648682727430716073616467056700272875,000$
4Connor Corcoran (R)X93.63683979627778636930697069636264064660232525,000$
MOYENNE D’ÉQUIPE98.2765428268797576675668666962636306467
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
1Tyler Parsons (R)100.0062736270676778766665605771079680262850,000$
2Magnus Chrona (R)100.0065706567676565686767555050026640233525,000$
Rayé
1Wouter Petters (R)100.0055556565626565635565505050024600252525,000$
MOYENNE D’ÉQUIPE100.006166646765666969636655525704364
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brian Wiseman66647168787272USA533500,000$


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
1Thomas TynanCrunch (T.B)C1261016540143949173212.24%426321.960223270000351053.43%35000001.2100000031
2Mike VecchioneCrunch (T.B)C/RW12861444062341152719.51%024420.37101426000083050.00%7600001.1500000402
3Blaine ByronCrunch (T.B)C/LW1228109406204011265.00%222118.48022926000071063.16%1900000.9000000010
4Jean-Christophe BeaudinCrunch (T.B)C/RW1236934024194310316.98%320517.16022315000081044.90%9800000.8700000110
5Garnet HathawayCrunch (T.B)RW12459410037163522311.43%220417.060001100000320042.11%1900000.8800000101
6Riley NashCrunch (T.B)C1235872022272471912.50%224620.530004110000460055.37%30700000.6500000001
7Mason ShawCrunch (T.B)C/LW1244844019234112239.76%320517.11101628000000072.73%1100000.7800000110
8Austin StrandCrunch (T.B)D111781606102014145.00%1626023.650221025000033000%000000.6200000000
9Xavier BouchardCrunch (T.B)D12167510079104810.00%1218915.7600003000014000%000000.7400000000
10Axel AnderssonCrunch (T.B)D12077280111917070%2525621.35000526000030000%000000.5500000000
11Jaycob MegnaCrunch (T.B)D122463240538112618.18%1630525.47000029000036000%000000.3900000100
12Kody ClarkCrunch (T.B)RW12235-300410193910.53%3897.4600001000050043.75%1600001.1200000000
13Patrick HarperCrunch (T.B)C/LW12325-2000192631211.54%11189.8900000000000045.51%15600000.8400000000
14Mikko KokkonenCrunch (T.B)D120441602744060%1021317.81000012000016000%000000.3700000000
15Connor CorcoranCrunch (T.B)D722434018744550.00%712918.47101213000017000%000000.6200000000
16Paul BittnerCrunch (T.B)LW120332195187115170%115312.7500000000000060.00%1000000.3900000000
17Nicolas Aube-KubelCrunch (T.B)RW12213-140177278197.41%11078.981015170001150057.14%700000.5600000000
18Vojtech BudikCrunch (T.B)D51234004132133.33%37515.180001000008000%000000.7900000001
19Blake McLaughlinCrunch (T.B)C/LW720200010210100.00%4375.3000000000000060.00%500001.0800000010
20Aaron LuchukCrunch (T.B)C5000000001000%010.30000010000000100.00%10000000000000
21Luke ProkopCrunch (T.B)D1000100000000%21515.570000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne216468513152113529426842812028510.75%117354516.4148125327900013216052.00%107500000.7400000876
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
1Tyler ParsonsCrunch (T.B)126510.8983.51701004140000000120000
2Magnus ChronaCrunch (T.B)10000.8335.00240021200000012000
Statistiques d’équipe totales ou en moyenne136510.8963.56725004341200001212000


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 Type Salaire actuel Salaire 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
Aaron LuchukCrunch (T.B)C271997-04-05 08:03:52Yes181 Lbs5 ft10NoNoN/ANoNo4Pro & Farm525,000$18,750$0$0$No525,000$525,000$525,000$------NoNoNo------Lien / Lien NHL
Austin Strand (sur la masse salariale)Crunch (T.B)D271997-02-17 11:37:23No215 Lbs6 ft3NoNoN/ANoNo2Pro & Farm875,000$31,250$0$0$No875,000$--------No--------Lien / Lien NHL
Axel AnderssonCrunch (T.B)D242000-02-10 13:47:11Yes192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm625,000$22,321$0$0$No------------------Lien / Lien NHL
Blaine ByronCrunch (T.B)C/LW291995-02-21 05:05:04No172 Lbs6 ft0NoNoN/ANoNo2Pro & Farm950,000$33,929$0$0$No950,000$--------No--------Lien
Blake McLaughlinCrunch (T.B)C/LW242000-02-14 01:33:36Yes160 Lbs5 ft11NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Connor Corcoran (sur la masse salariale)Crunch (T.B)D232000-08-07 23:58:21Yes182 Lbs6 ft2NoNoN/ANoNo2Pro & Farm525,000$18,750$0$0$No525,000$--------No--------Lien / Lien NHL
Garnet HathawayCrunch (T.B)RW321991-11-23 12:53:21No207 Lbs6 ft2NoNoN/ANoNo3Pro & Farm2,800,000$100,000$0$0$No2,800,000$2,800,000$-------NoNo-------Lien / Lien NHL
Jaycob MegnaCrunch (T.B)D311992-12-10 09:37:52No207 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$33,036$0$0$No------------------Lien / Lien NHL
Jean-Christophe BeaudinCrunch (T.B)C/RW271997-03-25 13:56:01Yes196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm825,000$29,464$0$0$No------------------Lien / Lien NHL
Kody ClarkCrunch (T.B)RW241999-10-13 13:59:15Yes185 Lbs6 ft3NoNoN/ANoNo1Pro & Farm625,000$22,321$0$0$No------------------Lien / Lien NHL
Luke ProkopCrunch (T.B)D212002-05-06 13:25:58Yes221 Lbs6 ft6NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Magnus ChronaCrunch (T.B)G232000-08-28 13:24:29Yes207 Lbs6 ft5NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Mason ShawCrunch (T.B)C/LW251998-11-03 03:05:26Yes182 Lbs5 ft9NoNoN/ANoNo1Pro & Farm825,000$29,464$0$0$No------------------Lien / Lien NHL
Mike VecchioneCrunch (T.B)C/RW311993-02-25 22:23:06No194 Lbs5 ft10NoNoN/ANoNo3Pro & Farm900,000$32,143$0$0$No900,000$900,000$-------NoNo-------Lien / Lien NHL
Mikko KokkonenCrunch (T.B)D232001-01-18 01:35:38Yes200 Lbs6 ft0NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Nicolas Aube-KubelCrunch (T.B)RW271996-05-10 02:13:15No187 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,100,000$39,286$0$0$No1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Patrick HarperCrunch (T.B)C/LW251998-07-29 08:08:09Yes160 Lbs5 ft9NoNoN/ANoNo2Pro & Farm650,000$23,214$0$0$No650,000$--------No--------Lien
Paul BittnerCrunch (T.B)LW271996-11-04 08:01:59Yes208 Lbs6 ft4NoNoN/ANoNo4Pro & Farm650,000$23,214$0$0$No650,000$650,000$650,000$------NoNoNo------Lien
Riley NashCrunch (T.B)C341989-05-09 12:06:28No191 Lbs6 ft1NoNoN/ANoNo1Pro & Farm2,800,000$100,000$0$0$No------------------Lien / Lien NHL
Thomas TynanCrunch (T.B)C311992-09-28 12:55:50No165 Lbs5 ft8NoNoN/ANoNo4Pro & Farm2,150,000$76,786$0$0$No2,150,000$2,150,000$2,150,000$------NoNoNo------Lien / Lien NHL
Tyler ParsonsCrunch (T.B)G261997-09-18 08:00:23Yes190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm850,000$30,357$0$0$No850,000$--------No--------Lien
Vaclav KarabacekCrunch (T.B)RW281996-05-02 09:43:22No195 Lbs6 ft0NoNoFree AgentNoNo12024-02-25Pro & Farm525,000$18,750$0$0$No------------------Lien
Vojtech BudikCrunch (T.B)D261998-01-29 22:26:38Yes195 Lbs6 ft0NoNoFree AgentNoNo12024-02-09Pro & Farm525,000$18,750$0$0$No------------------Lien
Wouter PettersCrunch (T.B)G251998-07-13 07:58:49Yes220 Lbs6 ft4NoNoN/ANoNo2Pro & Farm525,000$18,750$0$0$No525,000$--------No--------Lien
Xavier BouchardCrunch (T.B)D242000-02-28 13:22:44Yes198 Lbs6 ft4NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.56192 Lbs6 ft12.24912,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawRiley NashNicolas Aube-Kubel40122
2Blaine ByronThomas TynanJean-Christophe Beaudin30122
3Paul BittnerMike VecchioneKody Clark20122
4Riley NashPatrick HarperGarnet Hathaway10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaycob MegnaAxel Andersson40122
2Mikko KokkonenXavier Bouchard30122
3Vojtech BudikLuke Prokop20122
4Jaycob MegnaAxel Andersson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawRiley NashNicolas Aube-Kubel60122
2Blaine ByronThomas TynanJean-Christophe Beaudin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaycob MegnaAxel Andersson60122
2Mikko KokkonenXavier Bouchard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley NashThomas Tynan60122
2Nicolas Aube-KubelJean-Christophe Beaudin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaycob MegnaAxel Andersson60122
2Mikko KokkonenXavier Bouchard40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Nash60122Jaycob MegnaAxel Andersson60122
2Thomas Tynan40122Mikko KokkonenXavier Bouchard40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley NashThomas Tynan60122
2Nicolas Aube-KubelJean-Christophe Beaudin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaycob MegnaAxel Andersson60122
2Mikko KokkonenXavier Bouchard40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawRiley NashNicolas Aube-KubelJaycob MegnaAxel Andersson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawRiley NashNicolas Aube-KubelJaycob MegnaAxel Andersson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aaron Luchuk, Kody Clark, Garnet HathawayAaron Luchuk, Kody ClarkGarnet Hathaway
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vojtech Budik, Luke Prokop, Mikko KokkonenVojtech BudikLuke Prokop, Mikko Kokkonen
Tirs de pénalité
Riley Nash, Thomas Tynan, Nicolas Aube-Kubel, Jean-Christophe Beaudin, Kody Clark
Gardien
#1 : Tyler Parsons, #2 : Magnus Chrona


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
1Barracuda6420000024195330000001376312000001112-180.667244468002417502081461511256190506714718422.22%26484.62%021642450.94%23643953.76%10721250.47%2851942818615978
2Sound Tigers624000002224-23210000011101303000001114-340.33322416300241750220146151125622267461471400.00%22768.18%021642450.94%23643953.76%10721250.47%2851942818615978
Total126600000464336510000024177615000002226-4120.500468513100241750428146151125641211711329432412.50%481177.08%021642450.94%23643953.76%10721250.47%2851942818615978
_Since Last GM Reset126600000464336510000024177615000002226-4120.500468513100241750428146151125641211711329432412.50%481177.08%021642450.94%23643953.76%10721250.47%2851942818615978
_Vs Conference126600000464336510000024177615000002226-4120.500468513100241750428146151125641211711329432412.50%481177.08%021642450.94%23643953.76%10721250.47%2851942818615978
_Vs Division600000002224-23000000011101300000001114-300.00022416300241750220146151125622267461471400.00%22768.18%021642450.94%23643953.76%10721250.47%2851942818615978

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1212L1468513142841211711329400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126600004643
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
65100002417
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61500002226
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
32412.50%481177.08%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
1461511256241750
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
21642450.94%23643953.76%10721250.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2851942818615978


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
26Barracuda2Crunch4BWSommaire du match
414Barracuda3Crunch5BWSommaire du match
622Crunch3Barracuda6ALSommaire du match
830Crunch2Barracuda3ALSommaire du match
1038Barracuda2Crunch4BWSommaire du match
1246Crunch6Barracuda3AWSommaire du match
1659Sound Tigers5Crunch3BLSommaire du match
1863Sound Tigers2Crunch3BWSommaire du match
2067Crunch4Sound Tigers5ALSommaire du match
2271Crunch4Sound Tigers5ALXSommaire du match
2475Sound Tigers3Crunch5BWSommaire du match
2679Crunch3Sound Tigers4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2015
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 3000 - 100.00% 66,000$396,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,140,000$ 2,170,000$ 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$ 1 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
1Thomas Tynan31997153250-5209474086511.21%66550317.251643591342461612653.72%10.91312
2Mike Vecchione31511112123215116254190112.32%48543817.2718254313310179751.89%30.8518
3Blaine Byron3157914021987920443469611.35%45481815.307172490000615551.09%00.9122
4Mason Shaw22871138209-74421942267310.55%46438919.2593443106011512752.17%00.9505
5Jean-Christophe Beaudin238831252082810541351276210.89%43463219.4714365011621395448.41%20.90214

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
1Anthony Stolarz279120117190.8803.99149466699382460450.65664
2Tyler Parsons96282880.8953.4142246024022960030.60025
3Billy Christopoulos42000.9172.501680078400000
4Fredrik Pettersson-Wentzel152310.9073.09485002526901000

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
2082323504731298322-24412012032311571362141122301500141186-458629854584314108958812260886985985741271379672719542506024.00%3155781.90%31374275449.89%1336271349.24%714146348.80%1931132719615981066530
2182264504124296331-3541152001122160153741112503002136178-42692965348302111488889262087189483048284379464318872624717.94%2585180.23%31429280550.94%1410286049.30%717144349.69%1923131619836061056528
2282294102424285331-4641151901222147161-1441142201202138170-32742855208053111395738256285782385845267175454718242405723.75%2385576.89%41432281950.80%1370274449.93%738141552.16%1966135419286011065533
2382412704235329303264123120111317015020411815031221591536103329583912201201138912290796195896351267676960517962514819.12%2566873.44%41534291352.66%1518284653.34%759144052.71%1986138619225981061534
Total Saison régulière32812814801414101412081287-7916473630668863460034164558508826574687-11333212082182339086455391338411069735583534350818510903311325227461100321221.14%106723178.35%1457691129151.09%56341116350.47%2928576150.82%780753857795240442502125
Séries éliminatoires
20624000002131-10321000001216-430300000915-642136570074821845459656219604414316318.75%20575.00%08819844.44%11922353.36%6111752.14%13792145448341
23126600000464336510000024177615000002226-412468513100241750428146151125641211711329432412.50%481177.08%021642450.94%23643953.76%10721250.47%2851942818615978
Total Séries éliminatoires18810000006774-79720000036333918000003141-1016671211880031211326122002101901263117715743748714.58%681676.47%030462248.87%35566253.63%16832951.06%423287427130243120

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
1Thomas Tynan18815235420656711.94%639421.92033300001052.22%01.1700
2Mike Vecchione18109194613295717.54%036720.40112500003049.43%01.0300
3Blaine Byron12281094620405.00%222118.48022900001063.16%00.9000
4Garnet Hathaway1245941037163511.43%220417.06000100000042.11%00.8800
5Jean-Christophe Beaudin12369342419436.98%320517.16022300001044.90%00.8700

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
1Tyler Parsons147510.9043.34790004445800000
2Anthony Stolarz61400.8266.04278402816100000
3Magnus Chrona10000.8335.00240021200000