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Cleveland
GP: 82 | W: 40 | L: 34 | OTL: 8 | P: 88
GF: 350 | GA: 335 | PP%: 25.93% | PK%: 74.72%
DG: Dany Bourdeau | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Rochester
38-36-8, 84pts
4
FINAL
6 Cleveland
40-34-8, 88pts
Team Stats
W1SéquenceOTL1
18-20-3Fiche domicile23-17-1
20-16-5Fiche domicile17-17-7
7-3-0Derniers 10 matchs6-2-2
3.85Buts par match 4.27
4.01Buts contre par match 4.09
24.38%Pourcentage en avantage numérique25.93%
75.35%Pourcentage en désavantage numérique74.72%
Rochester
38-36-8, 84pts
2
FINAL
1 Cleveland
40-34-8, 88pts
Team Stats
W1SéquenceOTL1
18-20-3Fiche domicile23-17-1
20-16-5Fiche domicile17-17-7
7-3-0Derniers 10 matchs6-2-2
3.85Buts par match 4.27
4.01Buts contre par match 4.09
24.38%Pourcentage en avantage numérique25.93%
75.35%Pourcentage en désavantage numérique74.72%
Meneurs d'équipe
Buts
Luke Kunin
40
Passes
Luke Kunin
73
Points
Luke Kunin
113
Plus/Moins
Ryan Dzingel
21
Victoires
Chad Johnson
25
Pourcentage d’arrêts
Chad Johnson
0.91

Statistiques d’équipe
Buts pour
350
4.27 GFG
Tirs pour
3639
44.38 Avg
Pourcentage en avantage numérique
25.9%
84 GF
Début de zone offensive
41.5%
Buts contre
335
4.09 GAA
Tirs contre
3565
43.48 Avg
Pourcentage en désavantage numérique
74.7%%
89 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralDany Bourdeau
EntraîneurSylvain Lefebvre
DivisionNord
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,272
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure19
Limite contact 38 / 50
Espoirs26


Historique d'équipe

Saison actuelle40-34-8 (88PTS)
Historique124-99-15 (0.521%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1-4
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 moyen
1Byron FroeseXX100.00622989677669896780656864746758385000311750,000$
2Zach PariseXX100.008330927580839971706976699095951450003721,510,000$
3Ryan DzingelXX100.007535898182859270696871578065535950003021,100,000$
4Frank VatranoXX100.008338937782829272726976618356595750002811,100,000$
5Ilya ZubovXX100.006430955671668666736466637887821550003611,300,000$
6Dave BollandX100.00591792557769597073706971848184205000362980,000$
7Vinnie HinostrozaXX100.00773191837682907475697662875453545000282975,000$
8Dustin BrownXX100.007721886680779972707469668485992650003721,100,000$
9Carl SoderbergXXX100.006134875583669069716668677583752450003611,110,000$
10Zach SanfordX100.00713595749679886771657263775251285000272600,000$
11Luke KuninXX100.00864674908288877883757867854545715000241900,000$
12Robert BortuzzoX100.00703185669576824950524991717472215000332975,000$
13Cody GoloubefX100.00723263657874795050504787776561385000321600,000$
14Kevan MillerX100.00613585539075815150495090667259175000341900,000$
15Matthew BenningX100.00733860778087895753575387745648515000281600,000$
16Nick HoldenX100.00653292639477885050454786737973155000351901,000$
17Nicolas Hague (R)X100.00843871849886915852625391774239705000232800,000$
Rayé
MOYENNE D’ÉQUIPE100.0072328570847887646563647379686536500
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
1Dustin Tokarski100.0061877776708386818578706564355000321701,000$
2Chad Johnson100.0059908281728380838478739190105000361525,000$
Rayé
MOYENNE D’ÉQUIPE100.006089807971838382857872787723500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sylvain Lefebvre79827281999960CAN531500,000$


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
1Luke KuninCleveland (CLB)C/RW804073113-2140402322084331213419.24%9165720.71721288525310191223152.91%264800001.3634134575
2Matthew BenningCleveland (CLB)D81206888151171514090222541369.01%161179422.15920291062700333241200%000000.9800003323
3Nicolas HagueCleveland (CLB)D7418587621275191117222541348.11%177177023.921214261082310000169310%000000.8600100125
4Zach PariseCleveland (CLB)LW/RW79363874-52801008831911925811.29%18169421.459132269256022132443153.59%15300020.8714000455
5Vinnie HinostrozaCleveland (CLB)LW/RW823539744280103963511002649.97%8154718.87914238226210161154248.20%13900010.9600000266
6Frank VatranoCleveland (CLB)LW/RW77274572959516079284892339.51%5147219.12619255425110171424250.32%15700020.9812001622
7Dave BollandCleveland (CLB)C79273865260201592235115512.11%17140117.7571421652462026821452.12%231600000.9300000331
8Dustin BrownCleveland (CLB)LW/RW7719385702606985249831607.63%13161921.044121646248123102421052.63%62700000.7013000212
9Ryan DzingelCleveland (CLB)LW/RW82282452214315105922447017011.48%11110913.531013141011262146.62%13300000.9400012423
10Kevan MillerCleveland (CLB)D82163046162553745117376413.68%112136716.686612331040000117310%000000.6700001212
11Carl SoderbergCleveland (CLB)C/LW/RW821628441531531122185481078.65%16111913.660003200000324051.51%152600000.7900100021
12Nick HoldenCleveland (CLB)D8211324311553552147561017.48%135174821.3291019772720112273100%000000.4900100020
13Robert BortuzzoCleveland (CLB)D79102636-2360577011944998.40%179175322.195611391690221219200%000000.4100000030
14Cody GoloubefCleveland (CLB)D82028284940113526715630%120119414.57011170112106000%000000.4700000000
15Zach SanfordCleveland (CLB)LW7981220-216038248923508.99%104936.25000000000211040.00%5500000.8100000001
16Byron FroeseCleveland (CLB)C/RW82910191160145577215211.69%74735.77000000000250050.94%69100000.8000000101
17Ilya ZubovCleveland (CLB)LW/RW82771456032229527517.37%36227.5900000000042049.15%5900000.4500000011
Statistiques d’équipe totales ou en moyenne13613275949218481395147714563443101224389.50%10012283916.7884150234771261071118602188361351.94%850400050.816134411333938
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
1Chad JohnsonCleveland (CLB)47251540.9103.8726666117219100100.833124523424
2Dustin TokarskiCleveland (CLB)40151840.9034.252243411591631010003745251
Statistiques d’équipe totales ou en moyenne87403380.9074.0549101023313541020128268675


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 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
Byron FroeseCleveland (CLB)C/RW311991-03-12No203 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$4,386$0$0$NoLien
Carl SoderbergCleveland (CLB)C/LW/RW361985-10-12No226 Lbs6 ft3NoNoNoNo1Pro & Farm1,110,000$6,491$0$0$NoLien
Chad JohnsonCleveland (CLB)G361986-06-10 10:55:46No218 Lbs6 ft3NoNoNoNo1Pro & Farm525,000$3,070$0$0$NoLien
Cody GoloubefCleveland (CLB)D321989-11-30No203 Lbs6 ft1NoNoNoNo1Pro & Farm600,000$3,509$0$0$NoLien
Dave BollandCleveland (CLB)C361986-06-05No190 Lbs6 ft0NoNoNoNo2Pro & Farm980,000$5,731$0$0$No980,000$Lien
Dustin BrownCleveland (CLB)LW/RW371984-11-04No206 Lbs6 ft0NoNoNoNo2Pro & Farm1,100,000$6,433$0$0$No1,100,000$Lien
Dustin TokarskiCleveland (CLB)G321989-09-16 05:46:52No203 Lbs5 ft11NoNoNoNo1Pro & Farm701,000$4,099$0$0$NoLien
Frank Vatrano (contrat à 1 volet)Cleveland (CLB)LW/RW281994-03-14No206 Lbs5 ft9NoNoYesYes1Pro & Farm1,100,000$11,000$0$NoLien
Ilya ZubovCleveland (CLB)LW/RW361986-01-11No199 Lbs6 ft0NoNoNoNo1Pro & Farm1,300,000$7,602$0$0$No
Kevan MillerCleveland (CLB)D341987-11-15No214 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Luke KuninCleveland (CLB)C/RW241997-12-04No201 Lbs6 ft0NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Matthew BenningCleveland (CLB)D281994-05-25No208 Lbs6 ft1NoNoNoNo1Pro & Farm600,000$3,509$0$0$NoLien
Nick HoldenCleveland (CLB)D351987-05-15No217 Lbs6 ft4NoNoNoNo1Pro & Farm901,000$5,269$0$0$NoLien
Nicolas HagueCleveland (CLB)D231998-12-05 03:02:41Yes230 Lbs6 ft6NoNoNoNo2Pro & Farm800,000$4,678$0$0$No800,000$Lien
Robert BortuzzoCleveland (CLB)D331989-03-18No217 Lbs6 ft4NoNoNoNo2Pro & Farm975,000$5,702$0$0$No975,000$Lien
Ryan DzingelCleveland (CLB)LW/RW301992-03-09No196 Lbs6 ft0NoNoNoNo2Pro & Farm1,100,000$6,433$0$0$No1,100,000$Lien
Vinnie HinostrozaCleveland (CLB)LW/RW281994-04-03No177 Lbs5 ft9NoNoNoNo2Pro & Farm975,000$5,702$0$0$No975,000$Lien
Zach PariseCleveland (CLB)LW/RW371984-07-28No195 Lbs5 ft11NoNoNoNo2Pro & Farm1,510,000$8,830$0$0$No1,510,000$
Zach Sanford (contrat à 1 volet)Cleveland (CLB)LW271994-11-09No209 Lbs6 ft4NoNoYesYes2Pro & Farm600,000$6,000$0$No600,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1931.74206 Lbs6 ft11.42917,211$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseLuke KuninDustin Brown35122
2Vinnie HinostrozaDave BollandFrank Vatrano30122
3Ryan DzingelCarl SoderbergIlya Zubov25122
4Zach SanfordByron FroeseLuke Kunin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo35122
2Matthew BenningNick Holden30122
3Kevan MillerCody Goloubef25122
4Nicolas HagueRobert Bortuzzo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseLuke KuninDustin Brown50122
2Vinnie HinostrozaDave BollandFrank Vatrano50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo50122
2Matthew BenningNick Holden50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luke KuninZach Parise50122
2Dustin BrownVinnie Hinostroza50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo50122
2Matthew BenningNick Holden50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Luke Kunin50122Nicolas HagueRobert Bortuzzo50122
2Zach Parise50122Matthew BenningNick Holden50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luke KuninZach Parise50122
2Dustin BrownVinnie Hinostroza50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo50122
2Matthew BenningNick Holden50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseLuke KuninDustin BrownNicolas HagueRobert Bortuzzo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseLuke KuninDustin BrownNicolas HagueRobert Bortuzzo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Dzingel, Carl Soderberg, Zach SanfordRyan Dzingel, Carl SoderbergZach Sanford
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevan Miller, Cody Goloubef, Matthew BenningKevan MillerCody Goloubef, Matthew Benning
Tirs de pénalité
Luke Kunin, Zach Parise, Dustin Brown, Vinnie Hinostroza, Frank Vatrano
Gardien
#1 : Dustin Tokarski, #2 : Chad Johnson
Lignes d’attaque personnalisées en prolongation
Luke Kunin, Zach Parise, Dustin Brown, Vinnie Hinostroza, Frank Vatrano, Ryan Dzingel, Ryan Dzingel, Dave Bolland, Carl Soderberg, Zach Sanford, Ilya Zubov
Lignes de défense personnalisées en prolongation
Nicolas Hague, Robert Bortuzzo, Matthew Benning, Nick Holden, Kevan Miller


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
1Abbotsford20101000880100010005411010000034-120.5008132100141108941010212261210117145692218406350.00%8362.50%11873361051.88%1850358351.63%773149951.57%1971133018906231097550
2Bakersfield21000100853110000005141000010034-130.750814220014110894107712261210117145903120327342.86%100100.00%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
3Bridgeport4210100022202220000001510520101000710-360.7502237590014110894101701226121011714517860498412325.00%17570.59%11873361051.88%1850358351.63%773149951.57%1971133018906231097550
4Charlotte42200000181622110000010912110000087140.5001833510014110894101831226121011714518248387021419.05%18477.78%21873361051.88%1850358351.63%773149951.57%1971133018906231097550
5Coachella Valley63200100342593210000015132311001001912770.58334619500141108941032312261210117145252606012325936.00%25484.00%11873361051.88%1850358351.63%773149951.57%1971133018906231097550
6Eagles3200100017891000100043122000000135861.0001732490014110894101271226121011714510530384510550.00%14378.57%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
7Grand Rapids714010102229-7411010101514130300000715-860.42922375900141108941028312261210117145271808912518422.22%28871.43%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
8Hartford513000101521-62110000069-330200010912-340.40015254000141108941023512261210117145266805610814535.71%27292.59%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
9Hershey411002001719-221100000101002000020079-240.500173047101411089410160122612101171451885148748112.50%23673.91%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
10Iowa21100000131031010000034-111000000106420.5001319320014110894108812261210117145811627328562.50%11372.73%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
11Laval6230001029290312000001517-2311000101412260.50029477600141108941025212261210117145264805310218422.22%22768.18%11873361051.88%1850358351.63%773149951.57%1971133018906231097550
12Lehigh Valley413000001520-521100000910-120200000610-420.2501526410014110894101451226121011714522581386119421.05%19763.16%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
13Manitoba21100000880110000005411010000034-120.500815230014110894109012261210117145982320448225.00%9277.78%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
14Ontario312000001015-52110000078-11010000037-420.333101929001411089410115122612101171451023841481218.33%10460.00%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
15Providence623000011622-631200000811-331100001811-350.4171629450114110894102691226121011714526870481112528.00%23291.30%11873361051.88%1850358351.63%773149951.57%1971133018906231097550
16Rochester650001002716113200010011653300000016106110.91727538001141108941026412261210117145235705711937616.22%24770.83%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
17Rockford211000001073110000009361010000014-320.50010203000141108941084122612101171457621144214428.57%7357.14%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
18San Diego201001001214-21010000056-11000010078-110.25012193100141108941094122612101171451152735384375.00%14657.14%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
19San Jose22000000963110000004311100000053241.00091726001411089410103122612101171451132727459666.67%11372.73%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
20Springfield2010010069-31010000024-21000010045-110.250611170014110894107512261210117145881722399222.22%9188.89%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
21Syracuse211000007611010000014-31100000062420.500712190014110894108912261210117145711914388337.50%7271.43%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
22Texas211000004401010000013-21100000031220.5004812001411089410112122612101171455613143613215.38%7271.43%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
23Wilkes-Barre/Scranton4220000023185211000001284211000001110140.5002343660014110894101991226121011714517245258319315.79%9544.44%01873361051.88%1850358351.63%773149951.57%1971133018906231097550
Total82333404731350335154119170311017716413411417016211731712880.5373506209701214110894103639122612101171453565100985115393248425.93%3528974.72%71873361051.88%1850358351.63%773149951.57%1971133018906231097550
_Since Last GM Reset82333404731350335154119170311017716413411417016211731712880.5373506209701214110894103639122612101171453565100985115393248425.93%3528974.72%71873361051.88%1850358351.63%773149951.57%1971133018906231097550
_Vs Conference5622240243123823532814110111012611792881301321112118-6590.527238421659121411089410248312261210117145250172556110602164520.83%2355775.74%61873361051.88%1850358351.63%773149951.57%1971133018906231097550
_Vs Division3113120122111911811676011106061-115660011159572350.56511921133002141108941013401226121011714512913672995651272318.11%1223075.41%41873361051.88%1850358351.63%773149951.57%1971133018906231097550

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8288OTL1350620970363935651009851153912
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233344731350335
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119173110177164
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114171621173171
Derniers 10 matchs
WLOTWOTL SOWSOL
620200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3248425.93%3528974.72%7
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
122612101171451411089410
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
1873361051.88%1850358351.63%773149951.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1971133018906231097550


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
17Cleveland11Coachella Valley2AWSommaire du match
314Cleveland1Grand Rapids2ALSommaire du match
421Grand Rapids3Cleveland4BWXSommaire du match
637Cleveland6Laval4AWSommaire du match
846Rochester0Cleveland4BWSommaire du match
1057Cleveland1Providence0AWSommaire du match
1168Providence3Cleveland4BWSommaire du match
1484Grand Rapids5Cleveland6BWXXSommaire du match
1694Cleveland4Hartford7ALSommaire du match
18109Coachella Valley5Cleveland4BLSommaire du match
19114Cleveland5Rochester3AWSommaire du match
21127Cleveland4Hershey5ALXSommaire du match
23140Ontario7Cleveland4BLSommaire du match
25150Cleveland6Rochester5AWSommaire du match
27164Laval7Cleveland4BLSommaire du match
29178Cleveland3Bakersfield4ALXSommaire du match
31189Laval6Cleveland5BLSommaire du match
33202Cleveland3Wilkes-Barre/Scranton4ALSommaire du match
35213San Jose3Cleveland4BWSommaire du match
37224Cleveland3Ontario7ALSommaire du match
39237Ontario1Cleveland3BWSommaire du match
40249Cleveland5Rochester2AWSommaire du match
43262Wilkes-Barre/Scranton4Cleveland3BLSommaire du match
45275Cleveland4Eagles3AWSommaire du match
47286Laval4Cleveland6BWSommaire du match
49297Cleveland3Providence6ALSommaire du match
51309Providence2Cleveland1BLSommaire du match
53322Cleveland5Coachella Valley6ALXSommaire du match
55331Cleveland6Bridgeport5AWXSommaire du match
56336Eagles3Cleveland4BWXSommaire du match
59356Grand Rapids4Cleveland2BLSommaire du match
60362Cleveland4Providence5ALXXSommaire du match
63380Abbotsford4Cleveland5BWXSommaire du match
65393Cleveland6Syracuse2AWSommaire du match
67402Grand Rapids2Cleveland3BWSommaire du match
70421Charlotte5Cleveland4BLSommaire du match
72432Cleveland6Charlotte1AWSommaire du match
73440Cleveland3Lehigh Valley4ALSommaire du match
75452Lehigh Valley4Cleveland6BWSommaire du match
77464Cleveland3Lehigh Valley6ALSommaire du match
78475San Diego6Cleveland5BLSommaire du match
81491Cleveland3Coachella Valley4ALSommaire du match
82499Providence6Cleveland3BLSommaire du match
85515Cleveland1Rockford4ALSommaire du match
87523Wilkes-Barre/Scranton4Cleveland9BWSommaire du match
89540Charlotte4Cleveland6BWSommaire du match
91549Cleveland8Wilkes-Barre/Scranton6AWSommaire du match
93560Cleveland5San Jose3AWSommaire du match
95572Rockford3Cleveland9BWSommaire du match
98589Lehigh Valley6Cleveland3BLSommaire du match
101606Cleveland4Springfield5ALXSommaire du match
102614Manitoba4Cleveland5BWSommaire du match
104623Cleveland3Manitoba4ALSommaire du match
106638Springfield4Cleveland2BLSommaire du match
108653Cleveland4Hartford3AWXXSommaire du match
109661Syracuse4Cleveland1BLSommaire du match
112675Cleveland3Grand Rapids6ALSommaire du match
114686Iowa4Cleveland3BLSommaire du match
116697Cleveland9Eagles2AWSommaire du match
118709Hershey2Cleveland4BWSommaire du match
119721Cleveland1Hartford2ALSommaire du match
122734Coachella Valley5Cleveland7BWSommaire du match
124747Cleveland3Hershey4ALXSommaire du match
125756Cleveland2Charlotte6ALSommaire du match
127764Hershey8Cleveland6BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
130778Cleveland2Laval3ALSommaire du match
132787Hartford4Cleveland6BWSommaire du match
134794Cleveland3Grand Rapids7ALSommaire du match
136805Cleveland3Abbotsford4ALSommaire du match
138814Bridgeport4Cleveland7BWSommaire du match
140826Cleveland6Laval5AWXXSommaire du match
142835Cleveland1Bridgeport5ALSommaire du match
143843Coachella Valley3Cleveland4BWSommaire du match
145857Cleveland7San Diego8ALXSommaire du match
146864Texas3Cleveland1BLSommaire du match
150884Bridgeport6Cleveland8BWSommaire du match
154907Cleveland3Texas1AWSommaire du match
155912Bakersfield1Cleveland5BWSommaire du match
157930Hartford5Cleveland0BLSommaire du match
160944Cleveland10Iowa6AWSommaire du match
164960Rochester4Cleveland6BWSommaire du match
168972Rochester2Cleveland1BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,18930,954
Assistance PCT75.84%75.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2272 - 75.73% 132,961$5,451,396$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,051,444$ 1,572,700$ 1,572,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,197$ 1,554,364$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 12,121$ 12,121$




Cleveland 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
1Luke Kunin18586163249-32935114779369.19%20381220.61174865183202186252.90%01.3168
2Matthew Benning23851175226293274082445868.70%426530822.302549743010666710%00.8500
3Nicolas Hague22241168209133605213085617.31%459524623.632646722750001720%00.8000
4Vinnie Hinostroza23199106205197830025992010.76%20425218.412438622062021312546.81%30.9600
5Dave Bolland229691201896185942460911.33%49407317.79184260162404124951.84%00.9300

Cleveland 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
1Chad Johnson118633990.9093.69667614241045060300.83324
2Dustin Tokarski80303680.9034.25448782318326202000
3Adin Hill49261760.9092.89294917114215520130.5002
4Keith Kinkaid28121030.8983.34156120878520010.8005

Cleveland Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
208240310351229425935412511013011631214241152002211131138-7952945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
2182333404731350335154119170311017716413411417016211731712883506209701214110894103639122612101171453565100985115393248425.93%3528974.72%71873361051.88%1850358351.63%773149951.57%1971133018906231097550
2182333404731350335154119170311017716413411417016211731712883506209701214110894103639122612101171453565100985115393248425.93%3528974.72%71873361051.88%1850358351.63%773149951.57%1971133018906231097550
Total Saison régulière24610699011197499492965123634507521517449681234354041453477480-3271994176627605438330728625100743394328932971289758275224844477101023723.47%101223776.58%1653311036251.45%52471016651.61%2289433852.77%595540405659186632591643
Séries éliminatoires
20514000001723-630300000815-7211000009812172946008810188586367017959708421314.29%33972.73%211221751.61%8718746.52%368442.86%11779118356431
Total Séries éliminatoires514000001723-630300000815-7211000009812172946008810188586367017959708421314.29%33972.73%211221751.61%8718746.52%368442.86%11779118356431

Cleveland 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
1Vinnie Hinostroza52353045922.22%06713.410001000000100.00%01.4900
2Denis Gurianov5145-46612166.25%29719.43011510110051.72%01.0300
3Nicolas Hague505501813880%511923.9601140110000%00.8300
4Dave Bolland522450081118.18%17515.05000000020047.93%01.0600
5Matthew Benning5134-3252128.33%1211022.0910160111000%00.7200

Cleveland 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
1Chad Johnson41200.8864.02209001412302000
2Adin Hill20200.8396.00900095600000