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Connexion

Crunch
GP: 82 | W: 47 | L: 31 | OTL: 4 | P: 98
GF: 370 | GA: 296 | PP%: 24.31% | PK%: 79.62%
DG: Ron | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Crunch
47-31-4, 98pts
4
FINAL
5 Canucks
49-31-2, 100pts
Team Stats
L1StreakW1
22-19-0Home Record28-13-0
25-12-4Away Record21-18-2
3-5-2Last 10 Games3-7-0
4.51Buts par match 5.23
3.61Buts contre par match 3.15
24.31%Pourcentage en avantage numérique17.31%
79.62%Pourcentage en désavantage numérique81.98%
Crunch
47-31-4, 98pts
3
FINAL
8 Senators
40-36-6, 86pts
Team Stats
L1StreakW3
22-19-0Home Record20-17-4
25-12-4Away Record20-19-2
3-5-2Last 10 Games5-3-2
4.51Buts par match 4.12
3.61Buts contre par match 3.84
24.31%Pourcentage en avantage numérique20.90%
79.62%Pourcentage en désavantage numérique76.34%
Meneurs d'équipe
Buts
Wade Allison
88
Passes
Connor Mackey
80
Points
Wade Allison
133
Plus/Moins
Drew O'Connor
54
Kevin BoyleVictoires
Kevin Boyle
11
Kevin BoylePourcentage d’arrêts
Kevin Boyle
0.893

Statistiques d’équipe
Buts pour
370
4.51 GFG
Tirs pour
2230
27.20 Avg
Pourcentage en avantage numérique
24.3%
70 GF
Début de zone offensive
39.6%
Buts contre
296
3.61 GAA
Tirs contre
1757
21.43 Avg
Pourcentage en désavantage numérique
79.6%%
65 GA
Début de la zone défensive
32.7%
Informations de l'équipe

Directeur généralRon
EntraîneurBenoit Groulx
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,950
Billets de saison0


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 50
Espoirs40


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
1Wade AllisonX100.0082769576765756615053656862454566506202521,137,500$
2Drew O'Connor (R)X100.0065429370765768694559666525464666506202521,000,000$
3Kole LindX100.007142866766616761377259652546466450610241891,333$
4Alex BelzileXX100.008044886671565968445055716356566150600311850,000$
5Givani Smith (R)XX100.008499427181516956445759612555556050600251913,333$
6Tanner FritzXX100.007269805669606061765958625544446050580311850,000$
7Gabriel Fortier (R)XX100.008945876662548262255059612544446250580233791,667$
8Cole Koepke (R)XXX100.007472776372595960505560635744446250580252925,000$
9Jan Drozg (R)X100.007366896366545650504848604644445450540241925,000$
10Alex Beaucage (R)XX100.007571846771464650504947614544445450540213925,000$
11Carl DahlstromX100.008683936783596252254639713759595650630281925,000$
12Colton WhiteX100.007343906669625955255147712557575950610261825,000$
13Connor MackeyX100.006872587172677055255442594044445450590262950,000$
14Jordan SchmaltzX100.007773866873586247253641633949495350580291750,000$
15Jake Christiansen (R)X100.007644996672546254253954642544445950580231925,000$
16Jack Ahcan (R)X100.007264926664616355254946614444445650580261950,000$
Rayé
MOYENNE D’ÉQUIPE100.00766384677157635739525364404848595059
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
1Kevin Boyle100.00485265734547515447483044444950510311975,000$
2Francois Brassard100.00444050684544454945454544444550470291750,000$
Rayé
MOYENNE D’ÉQUIPE100.0046465871454648524647384444475049
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx76757379827769CAN542400,000$


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
1Wade AllisonCrunch (TBL)RW79884513317701023717343514133520.23%33157619.96111425501970000278256.79%81000111.69141101466
2Connor MackeyCrunch (TBL)D7015809536108202045878354419.23%88146620.95415192814800014931100.00%100001.3000001363
3Kole LindCrunch (TBL)RW7937528923180801072436617015.23%16138417.52121224331820000285251.28%7800001.2912000366
4Alex BelzileCrunch (TBL)C/RW793545804960331472275816315.42%26123815.6700033421392350357.83%132100111.2900000524
5Givani SmithCrunch (TBL)LW/RW79334679541215199751986114916.67%15123715.66437116612351854264.06%6400001.2811001454
6Drew O'ConnorCrunch (TBL)LW494729765422055612153813821.86%780116.3533611640000626363.41%4100041.9002000667
7Colton WhiteCrunch (TBL)D791759762452010761100407017.00%89156219.77101424561970112224000.00%000000.9700000171
8Logan BrownLightningC/LW/RW542447714710027941445110016.67%599718.4731215151330111688067.20%75600001.4223000326
9Gabriel FortierCrunch (TBL)C/LW7030295927655166681785114616.85%9123817.704591813500031014039.30%20100000.9500010241
10Jake ChristiansenCrunch (TBL)D79154459215001034593337516.13%44143918.22912213321401131982050.00%200000.8200000123
11Jan DrozgCrunch (TBL)LW7921345543100304297327621.65%8124115.71358175200002032063.53%8500010.8900000113
12Jack AhcanCrunch (TBL)D797445120795964966245410.61%36150319.0451823412120000105100.00%000000.6800001001
13Jordan SchmaltzCrunch (TBL)D65828363288101402547182317.02%42101515.6312310590111126000.00%000000.7100110021
14Cole KoepkeCrunch (TBL)C/LW/RW2271017900222654104112.96%223810.85011220000110062.34%7700001.4200000020
15Tanner FritzCrunch (TBL)C/RW9033-460589380.00%114015.580220140000100036.36%1100000.4300000000
16Carl DahlstromCrunch (TBL)D9123222013481612.50%219121.26123438000032100.00%000000.3100000001
Statistiques d’équipe totales ou en moyenne98038559798245472755151710432192662159817.56%4231727217.627012019033217553710251671441359.31%2718001171.14512233435147
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
1Kevin BoyleCrunch (TBL)1611400.8931.7994001282610000.75081514110
Statistiques d’équipe totales ou en moyenne1611400.8931.79940012826100081514110


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex BeaucageCrunch (TBL)LW/RW212001-07-25Yes192 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Alex BelzileCrunch (TBL)C/RW311991-08-31No196 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Carl DahlstromCrunch (TBL)D281995-01-28No221 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Cole KoepkeCrunch (TBL)C/LW/RW251998-05-17Yes196 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Colton WhiteCrunch (TBL)D261997-05-03No185 Lbs6 ft1NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Connor MackeyCrunch (TBL)D261996-09-12No190 Lbs6 ft2NoNoNo2Pro & Farm950,000$0$0$No950,000$Lien
Drew O'ConnorCrunch (TBL)LW251998-06-09Yes200 Lbs6 ft3NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Francois BrassardCrunch (TBL)G291994-01-31No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien
Gabriel FortierCrunch (TBL)C/LW232000-02-06Yes174 Lbs5 ft10NoNoNo3Pro & Farm791,667$0$0$No791,667$791,667$Lien
Givani SmithCrunch (TBL)LW/RW251998-02-27Yes210 Lbs6 ft2NoNoNo1Pro & Farm913,333$0$0$NoLien / Lien NHL
Jack AhcanCrunch (TBL)D261997-05-18Yes185 Lbs5 ft8NoNoNo1Pro & Farm950,000$0$0$NoLien
Jake ChristiansenCrunch (TBL)D231999-09-12Yes195 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien
Jan DrozgCrunch (TBL)LW241999-04-01Yes174 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jordan SchmaltzCrunch (TBL)D291993-10-08No196 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Kevin BoyleCrunch (TBL)G311992-05-29No201 Lbs6 ft0NoNoNo1Pro & Farm975,000$0$0$NoLien / Lien NHL
Kole LindCrunch (TBL)RW241998-10-16No178 Lbs6 ft1NoNoNo1Pro & Farm891,333$0$0$NoLien / Lien NHL
Tanner FritzCrunch (TBL)C/RW311991-08-20No192 Lbs5 ft11NoNoNo1Pro & Farm850,000$0$0$NoLien
Wade AllisonCrunch (TBL)RW251997-10-14No205 Lbs6 ft2NoNoNo2Pro & Farm1,137,500$0$0$No1,137,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1826.22193 Lbs6 ft11.44903,269$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Wade Allison40023
2Kole Lind30023
3Jan DrozgAlex BelzileGivani Smith20122
4Wade Allison10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Mackey40122
2Jack AhcanColton White30140
3Jake Christiansen20122
4Jack AhcanColton White10140
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Wade Allison60005
2Kole Lind40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanJake Christiansen60005
2Connor MackeyColton White40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex BelzileGivani Smith60050
2Jan Drozg40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colton White60050
2Jake Christiansen40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Belzile60050Colton White60050
240050Jake Christiansen40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Kole Lind40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanJake Christiansen60122
2Connor MackeyColton White40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Wade AllisonConnor MackeyJack Ahcan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex BelzileColton White
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jan Drozg, Kole Lind, Kole LindJan Drozg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Mackey, Jack Ahcan, Jake ChristiansenConnor MackeyJack Ahcan, Jake Christiansen
Tirs de pénalité
, , Wade Allison, Kole Lind, Givani Smith
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Wade Allison, Kole Lind, Givani Smith, , , , Alex Belzile, Jan Drozg,
Lignes de défense personnalisées en prolongation
, Colton White, Jack Ahcan, Jake Christiansen,


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
1 Americans21000100141221100000010731000010045-130.750142539001451151039687227567372948920215240.00%10550.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
2Admirals210001001486110000009271000010056-130.750142640001451151039617227567372940910394375.00%30100.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
3Barracudas33000000262241100000010010220000001621461.00026416701145115103913672275673729452616722150.00%70100.00%1993197350.33%757163146.41%659138047.75%229817301717495935495
4Bears220000001831511000000111101100000072541.00018284600145115103995722756737292674443133.33%20100.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
5Bruins211000001082110000007251010000036-320.500101626001451151039427227567372945122243300.00%11463.64%0993197350.33%757163146.41%659138047.75%229817301717495935495
6Canucks412000011218-62110000066020100001612-630.37512213300145115103949722756737298425426318422.22%18477.78%0993197350.33%757163146.41%659138047.75%229817301717495935495
7Checkers20200000810-21010000067-11010000023-100.0008111900145115103950722756737295283142800.00%13192.31%0993197350.33%757163146.41%659138047.75%229817301717495935495
8Comets512000201617-131200000710-32000002097260.6001625410014511510391157227567372912930529326726.92%24195.83%1993197350.33%757163146.41%659138047.75%229817301717495935495
9Condors211000006511010000023-11100000042220.500691500145115103943722756737294312233912325.00%9366.67%0993197350.33%757163146.41%659138047.75%229817301717495935495
10Eagles20200000415-111010000016-51010000039-600.0004812001451151039247227567372960825417228.57%9366.67%0993197350.33%757163146.41%659138047.75%229817301717495935495
11Firebirds33000000259161100000092722000000167961.00025436800145115103913972275673729431333736350.00%13284.62%2993197350.33%757163146.41%659138047.75%229817301717495935495
12Griffins41200010618-122010001027-521100000411-740.500681400145115103970722756737291003225531715.88%10550.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
13Gulls21000100770110000003211000010045-130.750713200014511510395572275673729481413477228.57%5180.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
14Heat21100000610-41010000016-51100000054120.50068140014511510393972275673729481930327228.57%14564.29%0993197350.33%757163146.41%659138047.75%229817301717495935495
15IceHogs30102000121111010000056-12000200075240.6671219310014511510399772275673729781832707228.57%17664.71%0993197350.33%757163146.41%659138047.75%229817301717495935495
16Marlies403010001024-1420200000618-122010100046-220.25010152500145115103963722756737299727457724520.83%20670.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
17Monsters41300000719-1220200000313-102110000046-220.2507142100145115103974722756737291052344502200.00%13192.31%0993197350.33%757163146.41%659138047.75%229817301717495935495
18Moose211000007701010000024-21100000053220.500712190014511510394072275673729421714385120.00%7185.71%0993197350.33%757163146.41%659138047.75%229817301717495935495
19Penguins22000000186121100000083511000000103741.00018355300145115103977722756737293512103210330.00%4175.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
20Phantoms211000001011-1110000005321010000058-320.5001016260014511510394272275673729701328414125.00%13376.92%0993197350.33%757163146.41%659138047.75%229817301717495935495
21Rampage 220000001741311000000523110000001221041.0001729460014511510397672275673729366163533100.00%8275.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
22Reign22000000853110000004221100000043141.000813210014511510396572275673729321314356116.67%7185.71%0993197350.33%757163146.41%659138047.75%229817301717495935495
23Roadrunners2200000018117110000009181100000090941.0001831490114511510399472275673729181012464125.00%5180.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
24Rocket40400000620-142020000038-520200000312-900.00061016001451151039737227567372911930287118211.11%13376.92%0993197350.33%757163146.41%659138047.75%229817301717495935495
25Senators422000001113-2211000006422110000059-440.50011213200145115103979722756737298128357420420.00%16287.50%0993197350.33%757163146.41%659138047.75%229817301717495935495
26Sound Tigers2200000014311110000006241100000081741.000142337001451151039100722756737292394527571.43%20100.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
27Stars2200000011110110000005141100000060641.0001118290114511510397872275673729304333322100.00%90100.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
28Thunderbirds20200000510-51010000047-31010000013-200.00059140014511510393072275673729481524487228.57%11190.91%0993197350.33%757163146.41%659138047.75%229817301717495935495
29Wild32001000176112100100010551100000071661.000172946001451151039106722756737294210224910330.00%10190.00%0993197350.33%757163146.41%659138047.75%229817301717495935495
30Wolf Pack2200000016511110000007161100000094541.0001627430014511510391007227567372939126294125.00%3166.67%0993197350.33%757163146.41%659138047.75%229817301717495935495
31Wolves321000001183211000006511100000053240.66711193000145115103950722756737295114315210330.00%13192.31%0993197350.33%757163146.41%659138047.75%229817301717495935495
Total824031043313702967441201901010178146324120120332119215042980.598370622992031451151039223072275673729175748574415342887024.31%3196579.62%4993197350.33%757163146.41%659138047.75%229817301717495935495
_Since Last GM Reset824031043313702967441201901010178146324120120332119215042980.598370622992031451151039223072275673729175748574415342887024.31%3196579.62%4993197350.33%757163146.41%659138047.75%229817301717495935495
_Vs Conference45162401031167185-1823913000108792-522711010218093-13410.45616727944600145115103910597227567372910532834008121913618.85%1733380.92%1993197350.33%757163146.41%659138047.75%229817301717495935495
_Vs Division226180103162105-4311311000103853-151137010212452-28210.4776210416600145115103942572275673729538153199387941617.02%912671.43%0993197350.33%757163146.41%659138047.75%229817301717495935495

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8298L137062299222301757485744153403
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240314331370296
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120191010178146
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120123321192150
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2887024.31%3196579.62%4
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
722756737291451151039
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
993197350.33%757163146.41%659138047.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
229817301717495935495


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
2 - 2023-03-2312Crunch0Griffins8ALSommaire du match
3 - 2023-03-2426Comets5Crunch1BLSommaire du match
5 - 2023-03-2643Monsters9Crunch2BLSommaire du match
8 - 2023-03-2967Wolves3Crunch2BLSommaire du match
10 - 2023-03-3180Crunch2IceHogs1AWXSommaire du match
12 - 2023-04-0297Canucks1Crunch4BWSommaire du match
14 - 2023-04-04112Crunch2Comets1AWXXSommaire du match
16 - 2023-04-06130Crunch4Monsters1AWSommaire du match
17 - 2023-04-07143Comets3Crunch2BLSommaire du match
19 - 2023-04-09155Crunch4Marlies3AWXSommaire du match
20 - 2023-04-10172Griffins1Crunch2BWXXSommaire du match
21 - 2023-04-11180Crunch2Senators1AWSommaire du match
24 - 2023-04-14204Crunch2Rocket6ALSommaire du match
26 - 2023-04-16215Senators3Crunch1BLSommaire du match
29 - 2023-04-19239Wild1Crunch5BWSommaire du match
31 - 2023-04-21259Crunch8Barracudas1AWSommaire du match
32 - 2023-04-22265Crunch9Roadrunners0AWSommaire du match
34 - 2023-04-24283Rocket3Crunch1BLSommaire du match
36 - 2023-04-26295Crunch10Penguins3AWSommaire du match
37 - 2023-04-27311Gulls2Crunch3BWSommaire du match
39 - 2023-04-29323Crunch12Rampage 2AWSommaire du match
41 - 2023-05-01337Crunch2Checkers3ALSommaire du match
43 - 2023-05-03351Moose4Crunch2BLSommaire du match
45 - 2023-05-05369Crunch6Stars0AWSommaire du match
47 - 2023-05-07382Wolf Pack1Crunch7BWSommaire du match
49 - 2023-05-09397Crunch7Wild1AWSommaire du match
51 - 2023-05-11413Heat6Crunch1BLSommaire du match
53 - 2023-05-13435Firebirds2Crunch9BWSommaire du match
54 - 2023-05-14445Crunch9Wolf Pack4AWSommaire du match
57 - 2023-05-17466 Americans7Crunch10BWSommaire du match
60 - 2023-05-20490Crunch5IceHogs4AWXSommaire du match
61 - 2023-05-21502Canucks5Crunch2BLSommaire du match
64 - 2023-05-24522Crunch1Thunderbirds3ALSommaire du match
65 - 2023-05-25533Phantoms3Crunch5BWSommaire du match
68 - 2023-05-28555Crunch7Comets6AWXXSommaire du match
69 - 2023-05-29565Wild4Crunch5BWXSommaire du match
71 - 2023-05-31585Wolves2Crunch4BWSommaire du match
73 - 2023-06-02597Crunch3Eagles9ALSommaire du match
75 - 2023-06-04610Crunch0Marlies3ALSommaire du match
76 - 2023-06-05626Crunch5Wolves3AWSommaire du match
78 - 2023-06-07638Roadrunners1Crunch9BWSommaire du match
80 - 2023-06-09657Crunch5Moose3AWSommaire du match
82 - 2023-06-11669Comets2Crunch4BWSommaire du match
84 - 2023-06-13692Monsters4Crunch1BLSommaire du match
87 - 2023-06-16709Crunch7Bears2AWSommaire du match
88 - 2023-06-17719Crunch0Monsters5ALSommaire du match
90 - 2023-06-19731Rampage 2Crunch5BWSommaire du match
92 - 2023-06-21752Senators1Crunch5BWSommaire du match
94 - 2023-06-23763Crunch8Firebirds3AWSommaire du match
96 - 2023-06-25778Crunch5Admirals6ALXSommaire du match
98 - 2023-06-27796Crunch4Condors2AWSommaire du match
99 - 2023-06-28800Penguins3Crunch8BWSommaire du match
102 - 2023-07-01824Admirals2Crunch9BWSommaire du match
104 - 2023-07-03841Crunch8Barracudas1AWSommaire du match
105 - 2023-07-04853Griffins6Crunch0BLSommaire du match
107 - 2023-07-06868Crunch4Griffins3AWSommaire du match
110 - 2023-07-09887Bruins2Crunch7BWSommaire du match
113 - 2023-07-12914IceHogs6Crunch5BLSommaire du match
115 - 2023-07-14926Crunch8Firebirds4AWSommaire du match
116 - 2023-07-15937Crunch8Sound Tigers1AWSommaire du match
118 - 2023-07-17953Reign2Crunch4BWSommaire du match
121 - 2023-07-20976Crunch4Reign3AWSommaire du match
122 - 2023-07-21986Barracudas0Crunch10BWSommaire du match
125 - 2023-07-241008Condors3Crunch2BLSommaire du match
128 - 2023-07-271028Crunch2Canucks7ALSommaire du match
130 - 2023-07-291045Eagles6Crunch1BLSommaire du match
132 - 2023-07-311066Checkers7Crunch6BLSommaire du match
136 - 2023-08-041094Stars1Crunch5BWSommaire du match
138 - 2023-08-061115Crunch3Bruins6ALSommaire du match
139 - 2023-08-071124Crunch4 Americans5ALXSommaire du match
141 - 2023-08-091138Thunderbirds7Crunch4BLSommaire du match
143 - 2023-08-111157Marlies11Crunch3BLSommaire du match
146 - 2023-08-141177Crunch4Gulls5ALXSommaire du match
148 - 2023-08-161192Rocket5Crunch2BLSommaire du match
149 - 2023-08-171204Crunch1Rocket6ALSommaire du match
152 - 2023-08-201226Marlies7Crunch3BLSommaire du match
153 - 2023-08-211238Crunch5Heat4AWSommaire du match
154 - 2023-08-221245Crunch5Phantoms8ALSommaire du match
157 - 2023-08-251265Bears1Crunch11BWSommaire du match
160 - 2023-08-281284Sound Tigers2Crunch6BWSommaire du match
161 - 2023-08-291286Crunch4Canucks5ALXXSommaire du match
162 - 2023-08-301287Crunch3Senators8ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets300
Assistance81,93239,016
Assistance PCT99.92%95.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2950 - 98.33% 59,950$2,457,960$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,105,676$ 1,625,883$ 1,625,883$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,794$ 1,705,657$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 12,204$ 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

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