Connexion

Crunch
GP: 82 | W: 31 | L: 46 | OTL: 5 | P: 67
GF: 257 | GA: 319 | PP%: 20.26% | PK%: 73.62%
DG: Joel Pelletier | Morale : 50 | Moyenne d’équipe : 53
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Centre de jeu
Crunch
31-46-5, 67pts
4
FINAL
5 Spiders
49-27-6, 104pts
Team Stats
L1StreakL1
19-21-1Home Record28-10-3
12-25-4Away Record21-17-3
2-7-1Last 10 Games8-2-0
3.13Goals Per Game4.01
3.89Goals Against Per Game3.46
20.26%Power Play Percentage19.17%
73.62%Penalty Kill Percentage77.01%
Phantoms
43-28-11, 97pts
7
FINAL
2 Crunch
31-46-5, 67pts
Team Stats
W3StreakL1
18-16-7Home Record19-21-1
25-12-4Away Record12-25-4
6-4-0Last 10 Games2-7-1
3.89Goals Per Game3.13
3.35Goals Against Per Game3.89
24.47%Power Play Percentage20.26%
81.49%Penalty Kill Percentage73.62%
Meneurs d'équipe
Victoires
Matt Murray
30
Pourcentage d’arrêts
Matt Murray
0.913

Statistiques d’équipe
Buts pour
257
3.13 GFG
Tirs pour
3007
36.67 Avg
Pourcentage en avantage numérique
20.3%
46 GF
Début de zone offensive
35.6%
Buts contre
319
3.89 GAA
Tirs contre
4137
50.45 Avg
Pourcentage en désavantage numérique
73.6%
62 GA
Début de la zone défensive
46.6%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,917
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs11


Historique d'équipe

Saison actuelle31-46-5 (67PTS)
Historique31-46-8 (0.365%)
Apparitions séries éliminatoires
Historique séries éliminatoires (W-L)-


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
1Fabian ZetterlundXX100.00898499677670656683646474554444050630213809,169$
2Brian PinhoX100.00707167667161606880597463704445050610251666,666$
3Michael Dal ColleXX100.00774494667661636132615656255758050580241750,000$
4Will Bitten (R)XX100.00676082666064656176595960564444050580221700,000$
5Oliver Okuiar (R)X100.00615551696766815759505363565052050570204560,000$
6Andrei Altybarmakyan (R)X100.00696968666962645650525660534444050560223817,500$
7Alex DostieXX100.00716293636255565265534462425555050540231742,500$
8Jamie DevaneX100.00778755638755584550384562434848050520291650,000$
9Liam Kirk (R)X100.00504590686851545357465147545050050520204813,333$
10Patrick Harper (R)X100.00665395635350514860464456424444050500221525,000$
11Dmitri Semykin (R)X100.00827892647852534925404364414444050560203813,333$
12Cole Hults (R)X100.00756891686852544825404161394444050550223925,000$
13Vili SaarijarviX100.00716692636560664425363761364444050540231700,000$
14Filip Kral (R)X100.00766699596652554125283959374444050520204810,000$
15Ville Rasanen (R)X100.00464186656355743925393245355858050500213525,000$
Rayé
1Eetu TuulolaX100.00918996658167645555525272454444050590221525,000$
2Jacob Olofsson (R)X100.00514795627245563650273942415050050440204700,000$
3Anatoli Golyshev (R)XX100.00344040405033333440343440373230050360251650,000$
4Linus Nassen (R)X100.00374343435535353743373743403230050390221700,000$
5Arvid Henrikson (R)X100.00323737375531313237323237343230050350221525,000$
MOYENNE D’ÉQUIPE100.0065607861675457494845475644454505052
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 SP
1Jesper Eliasson (R)100.0055535282545461575756575050050570
Rayé
1Matt Murray100.0062657174656061646562876061050630
2Ivan Prosvetov (R)100.0054647975525550575252334844050560
3Kevin Boyle100.0052507273515351575151304444050540
4Justus Annunen (R)100.0050486082505051555050304444050530
5Ian Scott (R)100.0043405076414150504546304444050480
6Olof Lindbom (R)100.0045646072404640444042425050050480
MOYENNE D’ÉQUIPE100.005255637650515255515144494805054
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
1Will BittenCrunch (Buf)C/RW823531660180762742967823211.82%33137716.80861431791011314157.12%137600110.9603000451
2Alex DostieCrunch (Buf)C/LW82114657518057107156511587.05%25127615.5748121177000000044.90%9800000.8900000101
3Andrei AltybarmakyanCrunch (Buf)RW821938576415137164237741798.02%24127815.593582878000002047.47%9900000.8912001223
4Brian PinhoCrunch (Buf)C28211839016052941674311712.57%1253819.24561130580004720059.38%67700001.4501000313
5Dmitri SemykinCrunch (Buf)D8243438-32134302227311835733.39%130143917.551672369000058000.00%000000.5300222022
6Michael Dal ColleCrunch (Buf)LW/RW32151833-111606183142579710.56%1962519.55471134760000202239.73%7300001.0600000111
7Oliver OkuiarCrunch (Buf)C82151429-1024065184229641516.55%1591211.12011712000042051.36%124600000.6413000120
8Cole HultsCrunch (Buf)D8271926-10500139638129438.64%110138616.900221464000053010.00%000000.3800000021
9Patrick HarperCrunch (Buf)C8281220-2203010811434827.02%194395.3700000000000347.50%57900000.9101000110
10Jamie DevaneCrunch (Buf)LW8281119046201235710331767.77%267689.38000001014431042.47%7300000.4900013001
11Fabian ZetterlundCrunch (Buf)C/RW119918320164871155212.68%627024.5522415280000213064.39%35100001.3301000204
12Vili SaarijarviCrunch (Buf)D82315188440115505117575.88%81108513.23033352000038000.00%000000.3300000001
13Filip KralCrunch (Buf)D823131610360159305324305.66%8398111.97000517000012010.00%000000.3300000000
14Liam KirkCrunch (Buf)LW28268-12005315720303.51%237413.3610149000080042.86%2800000.4300000000
15Ville RasanenCrunch (Buf)D28167340128104410.00%3745816.3700002011038000.00%000000.3100000000
16Jacob OlofssonCrunch (Buf)C16000000010010.00%020.150000200000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne963161290451-424515512691375188557613828.54%6221321413.72284674205629213940414854.16%460100110.68211236151618
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
1Matt MurrayCrunch (Buf)55302230.9133.0332242216318820010.70020550342
2Jesper EliassonCrunch (Buf)32111610.9114.0916872111512990320.00003082431
Statistiques d’équipe totales ou en moyenne87413840.9133.4049114327831810330.700208582773


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 DostieCrunch (Buf)C/LW231997-04-13No174 Lbs5 ft10NoNoNo1Pro & Farm742,500$74,250$0$NoLien
Anatoli GolyshevCrunch (Buf)LW/RW251995-02-14Yes172 Lbs5 ft9NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Andrei AltybarmakyanCrunch (Buf)RW221998-08-04Yes192 Lbs5 ft11NoNoNo3Pro & Farm817,500$81,750$0$No817,500$817,500$Lien
Arvid HenriksonCrunch (Buf)D221998-02-23Yes176 Lbs6 ft3NoNoNo1Pro & Farm525,000$52,500$0$NoLien
Brian PinhoCrunch (Buf)C251995-05-10No190 Lbs6 ft1NoNoNo1Pro & Farm666,666$66,667$0$NoLien
Cole HultsCrunch (Buf)D221998-05-22Yes189 Lbs6 ft0NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Lien
Dmitri SemykinCrunch (Buf)D202000-02-24Yes214 Lbs6 ft2NoNoNo3Pro & Farm813,333$81,333$0$No813,333$813,333$Lien
Eetu TuulolaCrunch (Buf)RW221998-03-17No224 Lbs6 ft2NoNoNo1Pro & Farm525,000$52,500$0$NoLien
Fabian ZetterlundCrunch (Buf)C/RW211999-08-25No218 Lbs5 ft11NoNoNo3Pro & Farm809,169$80,917$0$No809,169$809,169$Lien
Filip KralCrunch (Buf)D201999-10-20Yes176 Lbs6 ft1NoNoNo4Pro & Farm810,000$81,000$0$No810,000$810,000$810,000$Lien
Ian ScottCrunch (Buf)G211999-01-10Yes181 Lbs6 ft4NoNoNo3Pro & Farm805,833$80,583$0$No805,833$805,833$Lien
Ivan ProsvetovCrunch (Buf)G211999-03-05Yes175 Lbs6 ft5NoNoNo2Pro & Farm809,167$80,917$0$No809,167$Lien
Jacob OlofssonCrunch (Buf)C202000-02-08Yes196 Lbs6 ft2NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Jamie DevaneCrunch (Buf)LW291991-02-20No232 Lbs6 ft5NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Jesper EliassonCrunch (Buf)G202000-03-21Yes209 Lbs6 ft3NoNoNo4Pro & Farm650,000$65,000$0$No650,000$650,000$650,000$Lien
Justus AnnunenCrunch (Buf)G202000-03-11Yes207 Lbs6 ft3NoNoNo4Pro & Farm880,833$88,083$0$No880,833$880,833$880,833$Lien
Kevin BoyleCrunch (Buf)G281992-05-29No201 Lbs6 ft0NoNoNo1Pro & Farm675,000$67,500$0$NoLien
Liam KirkCrunch (Buf)LW202000-01-03Yes187 Lbs6 ft1NoNoNo4Pro & Farm813,333$81,333$0$No813,333$813,333$813,333$Lien
Linus NassenCrunch (Buf)D221998-05-10Yes179 Lbs6 ft0NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Matt MurrayCrunch (Buf)G261994-05-25No178 Lbs6 ft4NoNoNo2Pro & Farm2,800,000$280,000$0$No2,800,000$Lien
Michael Dal ColleCrunch (Buf)LW/RW241996-06-20No200 Lbs6 ft3NoNoNo1Pro & Farm750,000$75,000$0$NoLien
Oliver OkuiarCrunch (Buf)C202000-05-24Yes187 Lbs6 ft0NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Olof LindbomCrunch (Buf)G202000-07-23Yes183 Lbs6 ft2NoNoNo4Pro & Farm825,000$82,500$0$No825,000$825,000$825,000$Lien
Patrick HarperCrunch (Buf)C221998-07-29Yes150 Lbs5 ft7NoNoNo1Pro & Farm525,000$52,500$0$NoLien
Vili SaarijarviCrunch (Buf)D231997-05-15No183 Lbs5 ft10NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Ville RasanenCrunch (Buf)D211998-10-08Yes168 Lbs6 ft2NoNoNo3Pro & Farm525,000$52,500$0$No525,000$525,000$Lien
Will BittenCrunch (Buf)C/RW221998-07-10Yes168 Lbs5 ft10NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.26189 Lbs6 ft12.30790,864$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleWill Bitten40122
2Alex DostieBrian PinhoAndrei Altybarmakyan30122
3Liam KirkOliver Okuiar20122
4Jamie DevanePatrick Harper10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Semykin40122
2Cole HultsVili Saarijarvi30122
3Filip KralVille Rasanen20122
4Dmitri Semykin10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleWill Bitten60122
2Alex DostieBrian PinhoAndrei Altybarmakyan40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Semykin60122
2Cole HultsVili Saarijarvi40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brian Pinho60122
2Michael Dal ColleWill Bitten40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Semykin60122
2Cole HultsVili Saarijarvi40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dmitri Semykin60122
2Brian Pinho40122Cole HultsVili Saarijarvi40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brian Pinho60122
2Michael Dal ColleWill Bitten40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri Semykin60122
2Cole HultsVili Saarijarvi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleWill BittenDmitri Semykin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleWill BittenDmitri Semykin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Okuiar, Liam Kirk, Jamie DevaneOliver Okuiar, Liam KirkJamie Devane
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Kral, Ville Rasanen, Cole HultsFilip KralVille Rasanen, Cole Hults
Tirs de pénalité
, Brian Pinho, Michael Dal Colle, Will Bitten, Oliver Okuiar
Gardien
#1 : , #2 : Jesper Eliasson


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
1Admirals2000010168-21000000134-11000010034-120.500610160010974687659881028951541052318554250.00%9277.78%11286276746.48%1528362442.16%630139145.29%1639111122836181031469
2Baby Hawks211000008801010000046-21100000042220.5008132100109746876898810289515487311851500.00%9277.78%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
3Bears3300000015872200000011561100000043161.000152944001097468710098810289515415649187313646.15%9188.89%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
4Bruins41300000815-72110000055020200000310-720.250814220110974687119988102895154214574984900.00%12466.67%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
5Cabaret Lady Mary Ann402010011416-2201010007702010000179-230.37514274100109746871839881028951542104814979111.11%6183.33%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
6Caroline32100000161422200000011741010000057-240.667162945001097468710598810289515415839306112541.67%9277.78%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
7Chiefs2020000049-51010000025-31010000024-200.00048120010974687549881028951541334921433133.33%7271.43%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
8Chill2110000046-21010000014-31100000032120.500461000109746875298810289515494272045400.00%100100.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
9Comets2110000068-2110000005321010000015-420.5006121800109746876998810289515492361346200.00%4175.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
10Cougars402020001013-32010100068-22010100045-140.5001019291010974687138988102895154189589781119.09%20100.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
11Heat20200000212-101010000006-61010000026-400.000246001097468752988102895154131242037300.00%9633.33%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
12Jayhawks20100010990100000105411010000045-120.50091423001097468795988102895154993116548225.00%8275.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
13Las Vegas211000009721010000045-11100000052320.500917260010974687939881028951541264614513266.67%7357.14%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
14Manchots321000001091110000003212110000077040.66710172700109746871159881028951541325010706233.33%40100.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
15Marlies413000001117-62110000066020200000511-620.250111930001097468714498810289515418242167420525.00%8362.50%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
16Minnesota220000001569110000007431100000082641.000152742001097468793988102895154982818504250.00%8450.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
17Monarchs22000000752110000004311100000032141.000713200010974687589881028951541073916557114.29%8187.50%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
18Monsters30300000613-72020000049-51010000024-200.0006111700109746871299881028951541423221861400.00%7357.14%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
19Monsters2110000047-3110000002111010000026-420.5004610001097468755988102895154862318465120.00%9188.89%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
20Oceanics211000005411010000013-21100000041320.5005813001097468776988102895154883020436116.67%10370.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
21Oil Kings2020000068-21010000012-11010000056-100.000612180010974687569881028951541132727457114.29%6266.67%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
22Phantoms30300000717-101010000027-520200000510-500.000711180010974687119988102895154141521874500.00%9366.67%11286276746.48%1528362442.16%630139145.29%1639111122836181031469
23Rocket404000001022-122020000069-320200000413-900.000101828001097468711798810289515421559388812216.67%19478.95%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
24Senators41101001151232010100056-121000001106450.625152944111097468715998810289515418659179617317.65%5180.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
25Sharks20200000811-31010000046-21010000045-100.0008162400109746878698810289515495271242700.00%5340.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
26Sound Tigers312000001013-31100000031220200000712-520.33310203000109746871039881028951541805624714375.00%12375.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
27Spiders31100100914-52110000059-41000010045-130.50091524001097468710498810289515417843147010220.00%7271.43%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
28Stars2110000035-2110000002111010000014-320.5003690010974687839881028951547819633100.00%30100.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
29Thunder4210100013112211000007702100100064260.750132437001097468719798810289515420843201058112.50%9277.78%11286276746.48%1528362442.16%630139145.29%1639111122836181031469
30Wolf Pack30300000712-51010000024-22020000058-300.0007132010109746871209881028951541144510668225.00%5180.00%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
Total82254605213257319-6241152103011128149-2141102502202129170-41670.409257467724321097468730079881028951544137119256518892274620.26%2356273.62%31286276746.48%1528362442.16%630139145.29%1639111122836181031469
_Since Last GM Reset82254605213257319-6241152103011128149-2141102502202129170-41670.409257467724321097468730079881028951544137119256518892274620.26%2356273.62%31286276746.48%1528362442.16%630139145.29%1639111122836181031469
_Vs Conference3592103011116144-281869020106268-617312010015476-22270.386116212328101097468712619881028951541815518262780851821.18%1063071.70%01286276746.48%1528362442.16%630139145.29%1639111122836181031469
_Vs Division1437000004345-2732000001924-5705000002421360.2144374117001097468748198810289515466420712131128517.86%561278.57%01286276746.48%1528362442.16%630139145.29%1639111122836181031469

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8267L1257467724300741371192565188932
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8225465213257319
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115213011128149
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4110252202129170
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2274620.26%2356273.62%3
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
98810289515410974687
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
1286276746.48%1528362442.16%630139145.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1639111122836181031469


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 - 2021-10-137Crunch0Manchots2LSommaire du match
4 - 2021-10-1518Spiders8Crunch3LSommaire du match
6 - 2021-10-1735Crunch2Monsters4LSommaire du match
8 - 2021-10-1944Rocket3Crunch2LSommaire du match
10 - 2021-10-2158Cabaret Lady Mary Ann3Crunch2LSommaire du match
13 - 2021-10-2482Stars1Crunch2WSommaire du match
15 - 2021-10-2696Crunch3Admirals4LXSommaire du match
16 - 2021-10-27106Crunch3Monarchs2WSommaire du match
18 - 2021-10-29123Crunch4Sharks5LSommaire du match
21 - 2021-11-01134Sharks6Crunch4LSommaire du match
23 - 2021-11-03147Crunch2Wolf Pack4LSommaire du match
24 - 2021-11-04159Crunch2Cougars1WXSommaire du match
27 - 2021-11-07177Jayhawks4Crunch5WXXSommaire du match
31 - 2021-11-11198Crunch4Bears3WSommaire du match
32 - 2021-11-12208Sound Tigers1Crunch3WSommaire du match
38 - 2021-11-18248Thunder3Crunch4WSommaire du match
39 - 2021-11-19253Crunch3Thunder2WSommaire du match
44 - 2021-11-24286Caroline4Crunch6WSommaire du match
46 - 2021-11-26304Senators2Crunch3WXSommaire du match
47 - 2021-11-27314Crunch4Baby Hawks2WSommaire du match
49 - 2021-11-29318Minnesota4Crunch7WSommaire du match
51 - 2021-12-01333Crunch1Bruins6LSommaire du match
54 - 2021-12-04362Crunch2Cabaret Lady Mary Ann3LXXSommaire du match
55 - 2021-12-05365Crunch3Thunder2WXSommaire du match
57 - 2021-12-07377Heat6Crunch0LSommaire du match
59 - 2021-12-09396Marlies2Crunch3WSommaire du match
60 - 2021-12-10406Crunch3Marlies4LSommaire du match
62 - 2021-12-12419Spiders1Crunch2WSommaire du match
65 - 2021-12-15446Crunch2Heat6LSommaire du match
67 - 2021-12-17453Crunch1Comets5LSommaire du match
68 - 2021-12-18467Crunch5Oil Kings6LSommaire du match
70 - 2021-12-20472Chiefs5Crunch2LSommaire du match
72 - 2021-12-22487Chill4Crunch1LSommaire du match
74 - 2021-12-24502Crunch4Sound Tigers5LSommaire du match
77 - 2021-12-27525Crunch2Marlies7LSommaire du match
79 - 2021-12-29540Crunch3Phantoms7LSommaire du match
81 - 2021-12-31552Monarchs3Crunch4WSommaire du match
83 - 2022-01-02575Crunch5Senators6LXXSommaire du match
87 - 2022-01-06582Bruins0Crunch4WSommaire du match
89 - 2022-01-08606Crunch2Bruins4LSommaire du match
91 - 2022-01-10617Thunder4Crunch3LSommaire du match
93 - 2022-01-12628Oil Kings2Crunch1LSommaire du match
95 - 2022-01-14645Cabaret Lady Mary Ann4Crunch5WXSommaire du match
100 - 2022-01-19683Crunch2Chiefs4LSommaire du match
102 - 2022-01-21692Comets3Crunch5WSommaire du match
103 - 2022-01-22705Crunch2Cougars4LSommaire du match
105 - 2022-01-24714Las Vegas5Crunch4LSommaire du match
107 - 2022-01-26737Crunch1Stars4LSommaire du match
109 - 2022-01-28752Crunch3Chill2WSommaire du match
119 - 2022-02-07774Senators4Crunch2LSommaire du match
121 - 2022-02-09782Rocket6Crunch4LSommaire du match
123 - 2022-02-11792Monsters3Crunch2LSommaire du match
126 - 2022-02-14813Monsters1Crunch2WSommaire du match
128 - 2022-02-16827Cougars6Crunch3LSommaire du match
129 - 2022-02-17840Crunch3Wolf Pack4LSommaire du match
131 - 2022-02-19856Admirals4Crunch3LXXSommaire du match
133 - 2022-02-21866Cougars2Crunch3WXSommaire du match
135 - 2022-02-23880Monsters6Crunch2LSommaire du match
138 - 2022-02-26913Marlies4Crunch3LSommaire du match
140 - 2022-02-28922Crunch5Senators0WSommaire du match
144 - 2022-03-04950Crunch7Manchots5WSommaire du match
145 - 2022-03-05961Oceanics3Crunch1LSommaire du match
148 - 2022-03-08981Crunch2Monsters6LSommaire du match
150 - 2022-03-10997Crunch5Las Vegas2WSommaire du match
151 - 2022-03-111006Crunch4Jayhawks5LSommaire du match
154 - 2022-03-141024Crunch4Oceanics1WSommaire du match
156 - 2022-03-161033Manchots2Crunch3WSommaire du match
158 - 2022-03-181057Crunch2Phantoms3LSommaire du match
160 - 2022-03-201066Bears2Crunch6WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-03-231084Crunch2Rocket7LSommaire du match
164 - 2022-03-241093Bruins5Crunch1LSommaire du match
166 - 2022-03-261113Caroline3Crunch5WSommaire du match
168 - 2022-03-281126Crunch5Caroline7LSommaire du match
170 - 2022-03-301138Crunch5Cabaret Lady Mary Ann6LSommaire du match
172 - 2022-04-011153Baby Hawks6Crunch4LSommaire du match
173 - 2022-04-021165Wolf Pack4Crunch2LSommaire du match
175 - 2022-04-041177Crunch2Rocket6LSommaire du match
177 - 2022-04-061193Crunch3Sound Tigers7LSommaire du match
179 - 2022-04-081213Crunch8Minnesota2WSommaire du match
181 - 2022-04-101224Bears3Crunch5WSommaire du match
184 - 2022-04-131244Crunch4Spiders5LXSommaire du match
186 - 2022-04-151261Phantoms7Crunch2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance50,93727,660
Assistance PCT62.12%67.46%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1917 - 63.90% 75,611$3,100,050$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,090,503$ 2,135,333$ 2,135,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,419$ 2,090,503$ 26 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,419$ 0$




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