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Connexion

Crunch
GP: 18 | W: 11 | L: 7 | OTL: 0 | P: 22
GF: 79 | GA: 58 | PP%: 23.38% | PK%: 80.90%
DG: Ron | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Wolves
12-4-2, 26pts
5
FINAL
6 Crunch
11-7-0, 22pts
Team Stats
L1StreakL1
5-3-1Home Record6-3-0
7-1-1Away Record5-4-0
6-2-2Last 10 Games5-5-0
5.39Buts par match 4.39
1.94Buts contre par match 3.22
17.53%Pourcentage en avantage numérique23.38%
91.14%Pourcentage en désavantage numérique80.90%
Wolf Pack
13-4-1, 27pts
5
FINAL
3 Crunch
11-7-0, 22pts
Team Stats
L1StreakL1
6-2-1Home Record6-3-0
7-2-0Away Record5-4-0
7-2-1Last 10 Games5-5-0
5.17Buts par match 4.39
2.00Buts contre par match 3.22
25.00%Pourcentage en avantage numérique23.38%
80.68%Pourcentage en désavantage numérique80.90%
Meneurs d'équipe
Buts
Evgeni Dadonov
13
Ryan MurrayPasses
Ryan Murray
18
Points
Evgeni Dadonov
30
Plus/Moins
Evgeni Dadonov
11
Victoires
Magnus Hellberg
7
Pourcentage d’arrêts
Magnus Hellberg
0.912

Statistiques d’équipe
Buts pour
79
4.39 GFG
Tirs pour
532
29.56 Avg
Pourcentage en avantage numérique
23.4%
18 GF
Début de zone offensive
43.2%
Buts contre
58
3.22 GAA
Tirs contre
362
20.11 Avg
Pourcentage en désavantage numérique
80.9%%
17 GA
Début de la zone défensive
33.0%
Informations de l'équipe

Directeur généralRon
EntraîneurMarco Sturm
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 50
Espoirs41


Historique d'équipe

Saison actuelle11-7-0 (22PTS)
Historique0-0-0
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
1Evgeni DadonovXX100.0069429482676479692567756338737473506803417,200,000$
2Kole LindX100.006866736766838767506861625846466650630251825,000$
3Cole KoepkeX100.007771916371788264505965666246466750630261775,000$
4Givani SmithX100.008999707179506462365856652560616250610261850,000$
5Jean-Luc Foudy (R)X100.006964798064596059745756615345456050590221894,167$
6Gabriel Fortier (R)X100.007162936462768156505058615545456150580241791,667$
7Samuel Helenius (R)X100.007979786379758151644750634844445850580211925,000$
8Riley DamianiX100.006759846159747955694956585344445850570242775,000$
9Lucas Edmonds (R)XX100.007465956565626454504757625444445950570233950,000$
10Alex BeaucageX100.007772906372596153505646634444445650560231925,000$
11Ryan MurrayX100.0071439080756150562557477325696961506503123,700,000$
12Zachary JonesX100.006942917363656763255748707552526150630231925,000$
13Uvis BalinskisX100.007844907568646961254748672546466050620281870,000$
14Jack Rathbone (R)X100.007569896569697450254045614345455550590252850,000$
15Jett WooX100.0069736065737682532549435941444455505902411,044,167$
16Jack AhcanX100.006964796564778453255141593944445450590272775,000$
17Ronan Seeley (R)X100.007365906565717847254039593744445250580222837,500$
Rayé
1Michal Teply (R)X100.0078719460717378545053516448444459505802300$
2Tyler Tullio (R)X100.006660806060707455505056585344445950560222833,333$
3Jakub Brabenec (R)XX100.007265896465596251644751604844445550550213828,333$
4Philippe Daoust (R)XX100.007264916964393653665744604244445350540223821,667$
5Carson Focht (R)X100.006868686568545649614746574444445250530243700,000$
6Ethan Keppen (R)X100.007578686378474748504248614644445350530233700,000$
7Eemil Viro (R)X100.007162936562565946253740583844445150550223902,500$
8Donovan Sebrango (R)X100.006369506569555747254039543744444850530222875,000$
MOYENNE D’ÉQUIPE100.00726583676865685543515162454748585058
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

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# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marco Sturm64706171635983DEU43110$


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
1Evgeni DadonovCrunch (TBL)LW/RW171317301100173987156114.94%438122.41281020540001741051.76%19900021.5701000212
2Kole LindCrunch (TBL)RW17817258160131852174615.38%538122.422578550001340165.22%4600001.3101000203
3Jean-Luc FoudyCrunch (TBL)C17111122108016254472425.00%430718.073367560001321069.81%30800001.4300000110
4Cole KoepkeCrunch (TBL)RW178122011220262455143614.55%637722.2123510560004671068.57%3500001.0601000111
5Ryan MurrayCrunch (TBL)D1721820620034212512248.00%2035721.042682158000055000.00%000001.1200000020
6Gabriel FortierCrunch (TBL)LW178917780102148163616.67%432819.32134655000051066.67%1200011.0300000010
7Samuel HeleniusCrunch (TBL)C179514820036243983023.08%132218.99202655000002068.07%28500010.8700000011
8Givani SmithCrunch (TBL)RW177613428039315573012.73%627416.17000010002314064.71%1700000.9511000113
9Uvis BalinskisCrunch (TBL)D1719102220467277123.70%1732118.941341552000257000.00%000000.6200000000
10Ronan SeeleyCrunch (TBL)D170997601217120.00%41126.640000000000000.00%000001.6000000000
11Lucas EdmondsCrunch (TBL)LW/RW173584202123411298.82%026915.86101170000200177.78%1800000.5900000110
12Riley DamianiCrunch (TBL)C174374201242242718.18%125715.15000040000130068.86%22800000.5400000100
13Zachary JonesCrunch (TBL)D52462003271128.57%59819.68112619000016000.00%000001.2200000010
14Jacob ChristiansenLightningD815660011363616.67%516921.19123428000024000.00%000000.7100000000
15Jett WooCrunch (TBL)D1706661753264450.00%321712.7900000000021000.00%000000.5500100000
16Jack RathboneCrunch (TBL)D170447801125110.00%41307.6500012000011000.00%000000.6100000000
17Jack AhcanCrunch (TBL)D17123612014752120.00%520412.000000500000000.00%000000.2900000000
Statistiques d’équipe totales ou en moyenne26878142220109191532326752213037114.94%94451216.841834521055140001146710265.85%114800040.981410091010
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
1Magnus HellbergLightning87100.9121.4848702121360001.000480000
Statistiques d’équipe totales ou en moyenne87100.9121.484870212136000480000


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)RW232001-07-25No192 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Carson FochtCrunch (TBL)C242000-02-04Yes181 Lbs6 ft1NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Cole KoepkeCrunch (TBL)RW261998-05-17No194 Lbs6 ft1NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien
Donovan SebrangoCrunch (TBL)D222002-01-12Yes189 Lbs6 ft1NoNoNo2Pro & Farm875,000$875,000$0$0$No875,000$Lien
Eemil ViroCrunch (TBL)D222002-03-04Yes168 Lbs6 ft0NoNoNo3Pro & Farm902,500$902,500$0$0$No902,500$902,500$Lien
Ethan KeppenCrunch (TBL)LW232001-03-20Yes212 Lbs6 ft2NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Evgeni DadonovCrunch (TBL)LW/RW341989-12-03No189 Lbs5 ft11NoNoNo1Pro & Farm7,200,000$7,200,000$0$0$NoLien
Gabriel FortierCrunch (TBL)LW242000-02-06Yes170 Lbs5 ft10NoNoNo1Pro & Farm791,667$791,667$0$0$NoLien
Givani SmithCrunch (TBL)RW261998-02-27No209 Lbs6 ft2NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Jack AhcanCrunch (TBL)D271997-05-18No185 Lbs5 ft8NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Jack RathboneCrunch (TBL)D251999-05-20Yes190 Lbs5 ft11NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Jakub BrabenecCrunch (TBL)C/LW212003-09-11Yes174 Lbs6 ft1NoNoNo3Pro & Farm828,333$828,333$0$0$No828,333$828,333$Lien
Jean-Luc FoudyCrunch (TBL)C222002-05-13Yes176 Lbs5 ft11NoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Jett WooCrunch (TBL)D242000-07-27No200 Lbs6 ft0NoNoNo1Pro & Farm1,044,167$1,044,167$0$0$NoLien
Kole LindCrunch (TBL)RW251998-10-16No176 Lbs6 ft1NoNoNo1Pro & Farm825,000$825,000$0$0$NoLien / Lien NHL
Lucas EdmondsCrunch (TBL)LW/RW232001-01-27Yes181 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Michal TeplyCrunch (TBL)LW232001-05-27Yes187 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Philippe DaoustCrunch (TBL)C/LW222001-11-05Yes170 Lbs6 ft0NoNoNo3Pro & Farm821,667$821,667$0$0$No821,667$821,667$Lien
Riley DamianiCrunch (TBL)C242000-03-20No161 Lbs5 ft10NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Ronan SeeleyCrunch (TBL)D222002-02-08Yes176 Lbs6 ft0NoNoNo2Pro & Farm837,500$837,500$0$0$No837,500$Lien
Ryan Murray (contrat à 1 volet)Crunch (TBL)D311993-09-27No206 Lbs6 ft1NoNoNo2Pro & Farm3,700,000$3,700,000$2,575,000$2,575,000$No3,700,000$Lien / Lien NHL
Samuel HeleniusCrunch (TBL)C212002-11-26Yes201 Lbs6 ft6NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Tyler TullioCrunch (TBL)RW222002-05-04Yes165 Lbs5 ft10NoNoNo2Pro & Farm833,333$833,333$0$0$No833,333$Lien
Uvis BalinskisCrunch (TBL)D281996-08-01No187 Lbs6 ft0NoNoNo1Pro & Farm870,000$870,000$0$0$NoLien
Zachary JonesCrunch (TBL)D232000-10-18No174 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.28185 Lbs6 ft01.721,182,933$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evgeni DadonovJean-Luc FoudyCole Koepke40122
2Gabriel FortierSamuel HeleniusKole Lind30122
3Lucas EdmondsRiley DamianiGivani Smith20122
4Cole KoepkeEvgeni DadonovKole Lind10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Murray40122
2Uvis Balinskis30122
3Jack AhcanJett Woo20122
4Jack RathboneRonan Seeley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evgeni DadonovJean-Luc FoudyCole Koepke60122
2Gabriel FortierSamuel HeleniusKole Lind40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Murray60122
2Uvis Balinskis40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Evgeni DadonovCole Koepke60122
2Kole LindGivani Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Murray60122
2Uvis Balinskis40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Evgeni Dadonov60122Ryan Murray60122
2Cole Koepke40122Uvis Balinskis40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Evgeni DadonovCole Koepke60122
2Kole LindGivani Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan Murray60122
2Uvis Balinskis40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgeni DadonovJean-Luc FoudyCole KoepkeRyan Murray
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgeni DadonovJean-Luc FoudyCole KoepkeRyan Murray
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Edmonds, Riley Damiani, Jean-Luc FoudyLucas Edmonds, Riley DamianiJean-Luc Foudy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Ahcan, Jett Woo, Jack RathboneJack AhcanJett Woo, Jack Rathbone
Tirs de pénalité
Evgeni Dadonov, Cole Koepke, Kole Lind, Givani Smith, Jean-Luc Foudy
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Evgeni Dadonov, Cole Koepke, Kole Lind, Givani Smith, Jean-Luc Foudy, Samuel Helenius, Samuel Helenius, Gabriel Fortier, Lucas Edmonds, Riley Damiani,
Lignes de défense personnalisées en prolongation
Ryan Murray, , , Uvis Balinskis, Jack Ahcan


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
1Bears20100010440100000102111010000023-120.50046100028252335517616817616431327456116.67%100100.00%035651668.99%22939458.12%18428464.79%520392367109202110
2Bruins2110000056-11010000025-31100000031220.5005101500282523362176168176163921263010110.00%13284.62%035651668.99%22939458.12%18428464.79%520392367109202110
3Checkers30201000414-102010100048-41010000006-620.333471100282523342176168176169820303812216.67%14564.29%035651668.99%22939458.12%18428464.79%520392367109202110
4Griffins11000000532000000000001100000053221.0005101500282523321176168176161768145120.00%40100.00%035651668.99%22939458.12%18428464.79%520392367109202110
5Islanders220000002112011000000121111100000090941.000213758012825233105176168176162351446100.00%7185.71%035651668.99%22939458.12%18428464.79%520392367109202110
6Penguins220000001138110000007071100000043141.0001121320128252337317616817616205143315320.00%7185.71%035651668.99%22939458.12%18428464.79%520392367109202110
7Phantoms2200000015411110000006241100000092741.000152843002825233771761681761635914427342.86%70100.00%035651668.99%22939458.12%18428464.79%520392367109202110
8Wolf Pack20200000711-41010000035-21010000046-200.0007121900282523342176168176164915244911436.36%12558.33%035651668.99%22939458.12%18428464.79%520392367109202110
9Wolves20101000712-5100010006511010000017-620.5007111800282523355176168176163815363410330.00%15380.00%035651668.99%22939458.12%18428464.79%520392367109202110
Total188702010795821933020104227159540000037316220.6117914222102282523353217616817616362109193331771823.38%891780.90%035651668.99%22939458.12%18428464.79%520392367109202110
_Since Last GM Reset188702010795821933020104227159540000037316220.6117914222102282523353217616817616362109193331771823.38%891780.90%035651668.99%22939458.12%18428464.79%520392367109202110
_Vs Conference188702010795821933020104227159540000037316220.6117914222102282523353217616817616362109193331771823.38%891780.90%035651668.99%22939458.12%18428464.79%520392367109202110
_Vs Division610000001423-930000000613-731000000810-220.1671427410028252331251761681761615447648227414.81%31777.42%035651668.99%22939458.12%18428464.79%520392367109202110

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1822L17914222153236210919333102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
188720107958
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93320104227
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95400003731
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
771823.38%891780.90%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
176168176162825233
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
35651668.99%22939458.12%18428464.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
520392367109202110


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2024-09-238Checkers5Crunch0BLSommaire du match
3 - 2024-09-2534Crunch3Bruins1AWSommaire du match
4 - 2024-09-2644Crunch9Islanders0AWSommaire du match
5 - 2024-09-2756Checkers3Crunch4BWXSommaire du match
7 - 2024-09-2974Penguins0Crunch7BWSommaire du match
8 - 2024-09-3091Crunch5Griffins3AWSommaire du match
9 - 2024-10-01103Crunch2Bears3ALSommaire du match
11 - 2024-10-03120Bears1Crunch2BWXXSommaire du match
12 - 2024-10-04138Islanders1Crunch12BWSommaire du match
13 - 2024-10-05153Crunch9Phantoms2AWSommaire du match
14 - 2024-10-06173Bruins5Crunch2BLSommaire du match
16 - 2024-10-08189Crunch0Checkers6ALSommaire du match
17 - 2024-10-09200Phantoms2Crunch6BWSommaire du match
18 - 2024-10-10218Crunch4Penguins3AWSommaire du match
20 - 2024-10-12235Crunch4Wolf Pack6ALSommaire du match
21 - 2024-10-13246Crunch1Wolves7ALSommaire du match
22 - 2024-10-14256Wolves5Crunch6BWXSommaire du match
24 - 2024-10-16273Wolf Pack5Crunch3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets300
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,587,334$ 2,587,334$ 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 (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