Connexion

Crunch
GP: 82 | W: 39 | L: 33 | OTL: 10 | P: 88
GF: 188 | GA: 212 | PP%: 11.79% | PK%: 84.89%
DG: Joel Pelletier | Morale : 50 | Moyenne d’équipe : 53
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Centre de jeu
Crunch
39-33-10, 88pts
4
FINAL
2 Cabaret Lady Mary Ann
30-39-13, 73pts
Team Stats
W2SéquenceL6
21-16-4Fiche domicile14-20-7
18-17-6Fiche domicile16-19-6
6-3-1Derniers 10 matchs2-8-0
2.29Buts par match 1.98
2.59Buts contre par match 2.41
11.79%Pourcentage en avantage numérique13.08%
84.89%Pourcentage en désavantage numérique81.72%
Crunch
39-33-10, 88pts
6
FINAL
4 Thunder
9-66-7, 25pts
Team Stats
W2SéquenceL3
21-16-4Fiche domicile6-31-4
18-17-6Fiche domicile3-35-3
6-3-1Derniers 10 matchs0-9-1
2.29Buts par match 2.04
2.59Buts contre par match 4.34
11.79%Pourcentage en avantage numérique9.41%
84.89%Pourcentage en désavantage numérique75.84%
Meneurs d'équipe
Buts
Joel Teasdale
27
Passes
Jack Finley
32
Points
Joel Teasdale
56
Plus/Moins
Joel Teasdale
8
Victoires
Ivan Prosvetov
18
Pourcentage d’arrêts
Ivan Prosvetov
0.9

Statistiques d’équipe
Buts pour
188
2.29 GFG
Tirs pour
1835
22.38 Avg
Pourcentage en avantage numérique
11.8%
25 GF
Début de zone offensive
37.0%
Buts contre
212
2.59 GAA
Tirs contre
1998
24.37 Avg
Pourcentage en désavantage numérique
84.9%%
34 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralJoel Pelletier
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,936
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs12


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 moyen
1Brandon GignacX100.00604471706265646242615661635350050610243620,000$
2Joel TeasdaleXX100.0061486966656463634259615663525005060N0231620,000$
3Jack Finley (R)X100.00675164607157576151565760595050050590203797,500$
4Eetu TuulolaX100.00758175648156585349445464544444050570242600,000$
5Keean Washkurak (R)X100.00595365686261596055525653615050050570211620,000$
6Adam Raska (R)XX100.00576453666060595840535252595050050560211620,000$
7Andrei AltybarmakianX100.00656969626951515549525059494444050550241817,500$
8Oliver Okuiar (R)X100.00555549676756695157424561525052050550222560,000$
9Liam Kirk (R)X100.00514452595253485140505051525050050520222813,333$
10Kurtis GabrielX100.00627739627753564349384255424747050510291560,000$
11Jacob Olofsson (R)X100.00454792607239483248233341385050050430222700,000$
12Filip Kral (R)X100.00604471696462605940545263605150050600222810,000$
13Cole HultsX100.00686880676851524725364259424444050550241925,000$
14Dmitry Semykin (R)X100.00828297638233323925263664364444050540221813,333$
15Vili SaarijarviX100.00636689616552563925313259344444050520251700,000$
16Ville Rasanen (R)X100.00414183636347633525332844335858050490231525,000$
Rayé
1Owen Lindmark (R)X100.0043409761663444274918303634545405041N0211620,000$
2Linus Nassen (R)X100.00334342425530303342323242373230050390241700,000$
MOYENNE D’ÉQUIPE100.0058577063675154484242455448484805053
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 moyen
1Ivan Prosvetov (R)100.0072646863686970686969585250050620232850,000$
Rayé
1Jesper Vikman (R)100.0059575763595655535558535050050530203858,000$
2Olof Lindbom (R)100.0059575764585454535358535050050520222825,000$
3Jesper Eliasson (R)100.0051514882505059515150515042050510222650,000$
4Ian Scott (R)100.0040394676383848444041274438050430231805,833$
MOYENNE D’ÉQUIPE100.005654557055535754545548494605052
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Joel TeasdaleCrunch (Buf)LW/RW822729568140861502455316011.02%15169420.673582516710151942241.74%56300000.66717000565
2Oliver OkuiarCrunch (Buf)C82242549-1595170300283712218.48%40151218.440118510002543156.96%109200000.6512010942
3Jack FinleyCrunch (Buf)C8216324874801501711585512510.13%24164820.112571816500021692151.54%175400000.58217000153
4Adam RaskaCrunch (Buf)LW/RW821532477260138101140399310.71%12156219.051562516901121334341.38%11600000.6002000167
5Filip KralCrunch (Buf)D82112940-8640197116108366410.19%77167120.38639651780110163320%000000.4800000234
6Liam KirkCrunch (Buf)C82221739-193601801802106114510.48%26140417.1333634163000096245.22%15700000.5600000543
7Dmitry SemykinCrunch (Buf)D8251318-7840209916120408.20%85130915.97235291480110114100%000000.2700000121
8Ville RasanenCrunch (Buf)D8211415-5401536385232.63%51136316.63145191500000160000%100000.2200000002
9Keean WashkurakCrunch (Buf)C7851352018223551522.86%213018.61011213000071061.73%16200012.0011000300
10Jacob OlofssonCrunch (Buf)C822911-230017445812443.45%9141617.28101131490000940143.28%13400000.1600000020
11Owen LindmarkCrunch (Buf)C140228201108220%023716.9900006000060050.00%1800000.1700000000
Statistiques d’équipe totales ou en moyenne759131207338-2833951181122113443599329.75%3411395118.381930492381364134111108221251.21%399700010.481139010273227
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
1Ivan ProsvetovCrunch (Buf)38181050.9002.33216723848390110.760253382621
Statistiques d’équipe totales ou en moyenne38181050.9002.3321672384839011253382621


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Adam RaskaCrunch (Buf)LW/RW212001-09-25Yes179 Lbs5 ft10NoNoNoNo1Pro & Farm620,000$3,229$0$0$NoLien
Andrei AltybarmakianCrunch (Buf)LW241998-08-04No192 Lbs5 ft11NoNoYesYes1Pro & Farm817,500$4,258$0$0$NoLien
Brandon GignacCrunch (Buf)LW241997-11-07No185 Lbs5 ft11NoNoYesYes3Pro & Farm620,000$3,229$0$0$No620,000$620,000$Lien
Cole HultsCrunch (Buf)D241998-05-22No189 Lbs6 ft0NoNoYesYes1Pro & Farm925,000$4,818$0$0$NoLien
Dmitry SemykinCrunch (Buf)D222000-02-24Yes220 Lbs6 ft3NoNoNoNo1Pro & Farm813,333$4,236$0$0$NoLien
Eetu TuulolaCrunch (Buf)RW241998-03-17No224 Lbs6 ft2NoNoYesYes2Pro & Farm600,000$3,125$0$0$No600,000$Lien
Filip KralCrunch (Buf)D221999-10-20Yes185 Lbs6 ft1NoNoNoNo2Pro & Farm810,000$4,219$0$0$No810,000$Lien
Ian ScottCrunch (Buf)G231999-01-10Yes181 Lbs6 ft4NoNoNoNo1Pro & Farm805,833$4,197$0$0$NoLien
Ivan ProsvetovCrunch (Buf)G231999-03-05Yes174 Lbs6 ft5NoNoNoNo2Pro & Farm850,000$4,427$0$0$No850,000$Lien
Jack FinleyCrunch (Buf)C202002-09-02Yes220 Lbs6 ft6NoNoNoNo3Pro & Farm797,500$4,154$0$0$No797,500$797,500$
Jacob OlofssonCrunch (Buf)C222000-02-08Yes196 Lbs6 ft2NoNoNoNo2Pro & Farm700,000$3,646$0$0$No700,000$Lien
Jesper EliassonCrunch (Buf)G222000-03-21Yes209 Lbs6 ft3NoNoNoNo2Pro & Farm650,000$3,385$0$0$No650,000$Lien
Jesper VikmanCrunch (Buf)G202002-03-11Yes179 Lbs6 ft3NoNoNoNo3Pro & Farm858,000$4,469$0$0$No858,000$858,000$
Joel Teasdale (contrat à 1 volet)Crunch (Buf)LW/RW231999-03-11No205 Lbs6 ft0YesNoNoNo1Pro & Farm620,000$3,229$0$0$NoLien
Keean WashkurakCrunch (Buf)C212001-08-16Yes183 Lbs5 ft10NoNoNoNo1Pro & Farm620,000$3,229$0$0$NoLien
Kurtis Gabriel (contrat à 1 volet)Crunch (Buf)RW291993-04-20No200 Lbs6 ft4NoNoYesYes1Pro & Farm560,000$2,917$0$0$NoLien
Liam KirkCrunch (Buf)C222000-01-03Yes160 Lbs6 ft1NoNoNoNo2Pro & Farm813,333$4,236$0$0$No813,333$Lien
Linus NassenCrunch (Buf)D241998-05-10Yes179 Lbs6 ft0NoNoYesYes1Pro & Farm700,000$3,646$0$0$NoLien
Oliver OkuiarCrunch (Buf)C222000-05-24Yes187 Lbs6 ft0NoNoNoNo2Pro & Farm560,000$2,917$0$0$No560,000$Lien
Olof LindbomCrunch (Buf)G222000-07-23Yes183 Lbs6 ft2NoNoNoNo2Pro & Farm825,000$4,297$0$0$No825,000$Lien
Owen Lindmark (contrat à 1 volet)Crunch (Buf)C212001-05-17Yes183 Lbs6 ft0YesNoNoNo1Pro & Farm620,000$3,229$0$0$NoLien
Vili SaarijarviCrunch (Buf)D251997-05-15No183 Lbs5 ft10NoNoYesYes1Pro & Farm700,000$3,646$0$0$NoLien
Ville RasanenCrunch (Buf)D231998-10-08Yes168 Lbs6 ft2NoNoNoNo1Pro & Farm525,000$2,734$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.74190 Lbs6 ft11.61713,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel TeasdaleJack FinleyAdam Raska40122
2Liam KirkJacob Olofsson30122
3Oliver Okuiar20122
4Joel TeasdaleLiam KirkJack Finley10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip Kral40122
2Dmitry SemykinVille Rasanen30122
320122
4Filip Kral10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel TeasdaleJack FinleyAdam Raska60122
2Liam KirkJacob Olofsson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip Kral60122
2Dmitry SemykinVille Rasanen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel TeasdaleJack Finley60122
2Adam Raska40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip Kral60122
2Dmitry SemykinVille Rasanen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel Teasdale60122Filip Kral60122
2Jack Finley40122Dmitry SemykinVille Rasanen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joel TeasdaleJack Finley60122
2Adam Raska40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip Kral60122
2Dmitry SemykinVille Rasanen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel TeasdaleJack FinleyAdam RaskaFilip Kral
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel TeasdaleJack FinleyAdam RaskaFilip Kral
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Okuiar, , Jacob OlofssonOliver Okuiar, Jacob Olofsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitry Semykin, Ville Rasanen, Dmitry SemykinVille Rasanen,
Tirs de pénalité
Joel Teasdale, Jack Finley, , Adam Raska, Oliver Okuiar
Gardien
#1 : , #2 : Ivan Prosvetov


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
1Admirals21001000532100010004311100000010141.00059140163585616526125956047345914488112.50%6183.33%01000211047.39%1077239444.99%562119846.91%170311842316607994452
2Baby Hawks2020000009-91010000005-51010000004-400.000000006358561634612595604735712442800.00%10100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
3Bears32000001862210000015501100000031250.8338122000635856166661259560473831626525240.00%12375.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
4Bruins30200001311-82010000114-31010000027-510.16735800635856165961259560473802518531100.00%8187.50%11000211047.39%1077239444.99%562119846.91%170311842316607994452
5Cabaret Lady Mary Ann310010101064100000103212100100074361.0001017270063585616766125956047355231864500.00%8275.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
6Caroline31100010990110000002112010001078-140.6679152400635856166861259560473661816624250.00%7185.71%01000211047.39%1077239444.99%562119846.91%170311842316607994452
7Chiefs2000000235-21000000112-11000000123-120.50035800635856164461259560473441612368112.50%6183.33%11000211047.39%1077239444.99%562119846.91%170311842316607994452
8Chill20100001510-51010000026-41000000134-110.25057120063585616396125956047352921323266.67%5180.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
9Comets2020000025-31010000012-11010000013-200.000246006358561649612595604734261436700.00%70100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
10Cougars410000211293200000115502100001074370.875121830006358561692612595604731093926691218.33%13192.31%01000211047.39%1077239444.99%562119846.91%170311842316607994452
11Heat21000001954110000006151000000134-130.750915240063585616776125956047359128524250.00%40100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
12Jayhawks21000100844110000006151000010023-130.7508142200635856167261259560473421116575120.00%8187.50%01000211047.39%1077239444.99%562119846.91%170311842316607994452
13Las Vegas21000010633100000103211100000031241.000691500635856164861259560473411112376116.67%60100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
14Manchots3110001035-21010000005-52100001030340.6673360263585616536125956047359252063700.00%9188.89%01000211047.39%1077239444.99%562119846.91%170311842316607994452
15Marlies40400000415-112020000036-32020000019-800.000481210635856166461259560473992720759111.11%9188.89%01000211047.39%1077239444.99%562119846.91%170311842316607994452
16Minnesota2020000057-21010000023-11010000034-100.00059140063585616496125956047345101041200.00%50100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
17Monarchs22000000404110000002021100000020241.000461002635856165261259560473356644900.00%30100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
18Monsters30300000414-102020000018-71010000036-300.000461000635856165661259560473742320587114.29%10550.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
19Monsters2020000026-41010000024-21010000002-200.000235006358561633612595604735717824700.00%4175.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
20Oceanics21100000220110000002111010000001-120.50024600635856164161259560473672010387114.29%40100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
21Oil Kings22000000422110000002111100000021141.00047110063585616386125956047345121632300.00%70100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
22Phantoms30101010871200010106421010000023-140.667812200063585616616125956047356252059800.00%9277.78%01000211047.39%1077239444.99%562119846.91%170311842316607994452
23Rocket422000001385211000009362110000045-140.500132437006358561687612595604739928338312216.67%14285.71%01000211047.39%1077239444.99%562119846.91%170311842316607994452
24Sags2110000068-2110000005411010000014-320.5006101600635856164561259560473481316345240.00%80100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
25Seattle2020000004-41010000001-11010000003-300.000000006358561634612595604733910845400.00%4250.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
26Senators4120000159-42110000024-22010000135-230.3755712016358561668612595604739917268317211.76%12191.67%01000211047.39%1077239444.99%562119846.91%170311842316607994452
27Sound Tigers320000101156220000008351000001032161.0001116270163585616636125956047374212258500.00%110100.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
28Spiders3120000048-41010000014-32110000034-120.33346100063585616516125956047366181268600.00%6183.33%01000211047.39%1077239444.99%562119846.91%170311842316607994452
29Stars2020000029-71010000005-51010000024-200.0002460063585616366125956047358171037600.00%5260.00%01000211047.39%1077239444.99%562119846.91%170311842316607994452
30Thunder4400000021111022000000114722000000107381.00021406100635856161616125956047311627121066350.00%6183.33%01000211047.39%1077239444.99%562119846.91%170311842316607994452
31Wolf Pack320000011073110000004222100000165150.8331017270063585616676125956047387201885600.00%8362.50%01000211047.39%1077239444.99%562119846.91%170311842316607994452
Total82283303189188212-244115160204499101-24113170114589111-22880.5371883125001763585616183561259560473199854349216732122511.79%2253484.89%21000211047.39%1077239444.99%562119846.91%170311842316607994452
_Since Last GM Reset82283303189188212-244115160204499101-24113170114589111-22880.5371883125001763585616183561259560473199854349216732122511.79%2253484.89%21000211047.39%1077239444.99%562119846.91%170311842316607994452
_Vs Conference361015011548591-6175700032423841958011224353-10370.51485144229006358561683761259560473858242211717931010.75%991386.87%11000211047.39%1077239444.99%562119846.91%170311842316607994452
_Vs Division1628000002752-25814000001527-12814000001225-1340.1252746730063585616348612595604734221129130746510.87%38684.21%11000211047.39%1077239444.99%562119846.91%170311842316607994452

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8288W218831250018351998543492167317
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8228333189188212
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
411516204499101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
411317114589111
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2122511.79%2253484.89%2
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
6125956047363585616
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
1000211047.39%1077239444.99%562119846.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
170311842316607994452


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
3 - 2023-10-1210Wolf Pack2Crunch4BWSommaire du match
5 - 2023-10-1427Crunch3Sound Tigers2AWXXSommaire du match
8 - 2023-10-1740Thunder1Crunch5BWSommaire du match
10 - 2023-10-1951Heat1Crunch6BWSommaire du match
12 - 2023-10-2167Sound Tigers3Crunch5BWSommaire du match
14 - 2023-10-2382Rocket1Crunch8BWSommaire du match
15 - 2023-10-2485Crunch2Senators3ALSommaire du match
18 - 2023-10-27113Crunch3Spiders2AWSommaire du match
20 - 2023-10-29126Monsters4Crunch2BLSommaire du match
23 - 2023-11-01141Crunch2Phantoms3ALSommaire du match
25 - 2023-11-03157Phantoms2Crunch3BWXXSommaire du match
26 - 2023-11-04165Crunch0Marlies5ALSommaire du match
29 - 2023-11-07180Crunch2Caroline4ALSommaire du match
32 - 2023-11-10204Minnesota3Crunch2BLSommaire du match
33 - 2023-11-11217Crunch1Manchots0AWXXSommaire du match
36 - 2023-11-14229Bruins2Crunch1BLXXSommaire du match
39 - 2023-11-17252Crunch0Oceanics1ALSommaire du match
41 - 2023-11-19270Crunch0Baby Hawks4ALSommaire du match
44 - 2023-11-22285Crunch3Bears1AWSommaire du match
46 - 2023-11-24301Manchots5Crunch0BLSommaire du match
47 - 2023-11-25310Crunch0Spiders2ALSommaire du match
49 - 2023-11-27322Crunch4Wolf Pack2AWSommaire du match
52 - 2023-11-30348Crunch2Chiefs3ALXXSommaire du match
54 - 2023-12-02360Crunch5Caroline4AWXXSommaire du match
55 - 2023-12-03372Chill6Crunch2BLSommaire du match
57 - 2023-12-05380Cougars3Crunch4BWXXSommaire du match
59 - 2023-12-07392Crunch2Bruins7ALSommaire du match
61 - 2023-12-09411Rocket2Crunch1BLSommaire du match
63 - 2023-12-11428Jayhawks1Crunch6BWSommaire du match
65 - 2023-12-13445Crunch0Monsters2ALSommaire du match
67 - 2023-12-15460Crunch3Las Vegas1AWSommaire du match
68 - 2023-12-16470Crunch2Jayhawks3ALXSommaire du match
71 - 2023-12-19485Monsters3Crunch1BLSommaire du match
73 - 2023-12-21498Marlies2Crunch1BLSommaire du match
75 - 2023-12-23522Crunch2Wolf Pack3ALXXSommaire du match
79 - 2023-12-27532Bruins2Crunch0BLSommaire du match
82 - 2023-12-30556Monsters5Crunch0BLSommaire du match
83 - 2023-12-31566Crunch1Senators2ALXXSommaire du match
87 - 2024-01-04590Crunch3Rocket2AWSommaire du match
89 - 2024-01-06613Crunch2Manchots0AWSommaire du match
92 - 2024-01-09625Seattle1Crunch0BLSommaire du match
94 - 2024-01-11638Senators4Crunch1BLSommaire du match
96 - 2024-01-13654Comets2Crunch1BLSommaire du match
98 - 2024-01-15672Sags4Crunch5BWSommaire du match
100 - 2024-01-17691Baby Hawks5Crunch0BLSommaire du match
103 - 2024-01-20706Thunder3Crunch6BWSommaire du match
106 - 2024-01-23737Crunch1Admirals0AWSommaire du match
107 - 2024-01-24745Crunch2Monarchs0AWSommaire du match
110 - 2024-01-27761Crunch1Sags4ALSommaire du match
120 - 2024-02-06784Stars5Crunch0BLSommaire du match
124 - 2024-02-10804Chiefs2Crunch1BLXXSommaire du match
127 - 2024-02-13824Monarchs0Crunch2BWSommaire du match
129 - 2024-02-15838Cabaret Lady Mary Ann2Crunch3BWXXSommaire du match
131 - 2024-02-17853Crunch3Minnesota4ALSommaire du match
133 - 2024-02-19866Admirals3Crunch4BWXSommaire du match
135 - 2024-02-21884Crunch1Rocket3ALSommaire du match
137 - 2024-02-23900Crunch3Monsters6ALSommaire du match
139 - 2024-02-25920Caroline1Crunch2BWSommaire du match
141 - 2024-02-27928Crunch3Cabaret Lady Mary Ann2AWXSommaire du match
143 - 2024-02-29945Crunch4Thunder3AWSommaire du match
145 - 2024-03-02960Las Vegas2Crunch3BWXXSommaire du match
146 - 2024-03-03972Oceanics1Crunch2BWSommaire du match
149 - 2024-03-06990Crunch1Marlies4ALSommaire du match
150 - 2024-03-071000Crunch3Chill4ALXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091009Oil Kings1Crunch2BWSommaire du match
155 - 2024-03-121031Cougars2Crunch1BLXXSommaire du match
157 - 2024-03-141045Sound Tigers0Crunch3BWSommaire du match
159 - 2024-03-161059Crunch3Cougars1AWSommaire du match
161 - 2024-03-181081Crunch0Seattle3ALSommaire du match
162 - 2024-03-191093Crunch1Comets3ALSommaire du match
164 - 2024-03-211104Crunch2Oil Kings1AWSommaire du match
167 - 2024-03-241133Crunch3Heat4ALXXSommaire du match
170 - 2024-03-271148Senators0Crunch1BWSommaire du match
172 - 2024-03-291164Spiders4Crunch1BLSommaire du match
173 - 2024-03-301171Marlies4Crunch2BLSommaire du match
176 - 2024-04-021189Bears1Crunch2BWSommaire du match
179 - 2024-04-051211Phantoms2Crunch3BWXSommaire du match
181 - 2024-04-071228Crunch4Cougars3AWXXSommaire du match
183 - 2024-04-091246Crunch2Stars4ALSommaire du match
185 - 2024-04-111255Bears4Crunch3BLXXSommaire du match
187 - 2024-04-131273Crunch4Cabaret Lady Mary Ann2AWSommaire du match
189 - 2024-04-151290Crunch6Thunder4AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance51,71127,680
Assistance PCT63.06%67.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1936 - 64.55% 91,878$3,766,980$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,735,019$ 1,461,049$ 1,461,049$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,610$ 1,735,019$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 7,610$ 7,610$




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