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Cleveland
GP: 82 | W: 44 | L: 31 | OTL: 7 | P: 95
GF: 294 | GA: 259 | PP%: 19.06% | PK%: 80.84%
DG: Dany Bourdeau | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Providence
43-33-6, 92pts
1
FINAL
5 Cleveland
44-31-7, 95pts
Team Stats
W2StreakOTL1
24-14-3Home Record26-11-4
19-19-3Away Record18-20-3
6-3-1Last 10 Games6-2-2
3.22Buts par match 3.59
3.09Buts contre par match 3.16
15.61%Pourcentage en avantage numérique19.06%
83.09%Pourcentage en désavantage numérique80.84%
Providence
43-33-6, 92pts
3
FINAL
2 Cleveland
44-31-7, 95pts
Team Stats
W2StreakOTL1
24-14-3Home Record26-11-4
19-19-3Away Record18-20-3
6-3-1Last 10 Games6-2-2
3.22Buts par match 3.59
3.09Buts contre par match 3.16
15.61%Pourcentage en avantage numérique19.06%
83.09%Pourcentage en désavantage numérique80.84%
Meneurs d'équipe
Buts
Dillon Dube
37
Passes
Nicolas Hague
52
Points
Mason Appleton
80
Plus/Moins
Robert Bortuzzo
18
Victoires
Adin Hill
26
Pourcentage d’arrêts
Adin Hill
0.909

Statistiques d’équipe
Buts pour
294
3.59 GFG
Tirs pour
2796
34.10 Avg
Pourcentage en avantage numérique
19.1%
69 GF
Début de zone offensive
42.0%
Buts contre
259
3.16 GAA
Tirs contre
2628
32.05 Avg
Pourcentage en désavantage numérique
80.8%%
59 GA
Début de la zone défensive
40.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,316
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs35


Historique d'équipe

Saison actuelle44-31-7 (95PTS)
Historique88-62-10 (0.550%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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
1Dillon Dube (R)XX100.00773290858484907673737966863938705000222800,000$
2Mason AppletonX100.00802989818683947772757767774745715000251600,000$
3Byron FroeseXX100.00643289687771896881666966746455435000302750,000$
4Ryan DzingelXX100.007835948382869171696873588062516450002931,100,000$
5Rem Pitlick (R)XXX100.00722589838281847680747472914545715000242700,000$
6Ilya ZubovXX100.006531946171698669736669657884811850003521,300,000$
7Dave BollandX100.00601891607872597174717173857882245000353980,000$
8Vinnie HinostrozaXX100.00803195847683897375677563875250615000273975,000$
9Dustin BrownXX100.008223927182809972707372688483993050003631,100,000$
10Carl Soderberg (A)XXX100.006234886084699071716870687681712850003521,110,000$
11Erik HaulaXX100.00723694757377847081687064715446485000303975,000$
12Denis GurianovXX100.00843696939485947877747863854744805000241800,000$
13Luke KuninXX100.00854875878187857482727468834241745000232900,000$
14Robert BortuzzoX100.00753184699377824950534890727270255000323975,000$
15Cody GoloubefX100.00743263688076795050524887786260435000312600,000$
16Kevan MillerX100.00613586568978814950465090667058215000332900,000$
17Matthew BenningX100.00743563788186895853595386755347575000272600,000$
18Nick HoldenX100.00693393669380884950464587737669195000342901,000$
19Nicolas Hague (R)X100.00873577789582875650585490753838745000223800,000$
Rayé
MOYENNE D’ÉQUIPE100.0074328674837986666765667379605748500
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
1Adin Hill (R)100.0069878097829393969493894746715000251600,000$
2Chad Johnson100.0062908291789391939588838584165000352525,000$
Rayé
1Dustin Tokarski100.0066877783759496919688806059405000312701,000$
MOYENNE D’ÉQUIPE100.006688809078939393959084646342500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sylvain Lefebvre79827281999960CAN522500,000$


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
1Mason AppletonCleveland (CLB)RW7935458025601481022918622412.03%12164120.77919285928911241116044.27%19200020.9701000872
2Rem PitlickCleveland (CLB)C/LW/RW793143747320631642879719410.80%10163820.74713205630301141327252.41%176300010.9000000633
3Dillon DubeCleveland (CLB)LW/RW7637337044551111032876823012.89%11158020.791011217227900021547147.34%20700100.8902010481
4Dave BollandCleveland (CLB)C7115445926019106163431179.20%15126917.88414183220100001072151.10%173000000.9300000222
5Vinnie HinostrozaCleveland (CLB)LW/RW672928571122094672186415513.30%4115817.2961016422240001184142.17%8300010.9800000444
6Nicolas HagueCleveland (CLB)D74552579106101397411742914.27%105170623.0621820592780001197100.00%000000.6700110034
7Dustin BrownCleveland (CLB)LW/RW6415385344159280165541309.09%11135121.1219103821410142321251.57%38200000.7802000135
8Robert BortuzzoCleveland (CLB)D77153550183604973123395812.20%134184723.998917602800003237200.00%000000.5400000213
9Matthew BenningCleveland (CLB)D76113950-1931512864142401027.75%104171922.637916892780000191310.00%000000.5800012314
10Ryan DzingelCleveland (CLB)LW/RW821632489521011290215491467.44%4117514.33279201280001262248.74%11900000.8200002461
11Nick HoldenCleveland (CLB)D8219173602205453107294517.76%111154918.89639431800111165320.00%000000.4600000125
12Erik HaulaCleveland (CLB)C/LW77132033461155079103287012.62%1278310.171121246000093249.93%75500000.8400102202
13Carl SoderbergCleveland (CLB)C/LW/RW82141529-12353871135309910.37%12102612.521238380002830255.95%93300100.5700001104
14Cody GoloubefCleveland (CLB)D797202769210121527728519.09%102150219.02224291850001152010.00%000000.3600001011
15Byron FroeseCleveland (CLB)C/RW82111526940365795268011.58%96978.51000000001471053.58%48900000.7500000102
16Luke KuninCleveland (CLB)C/RW2561723113547617019398.57%249819.9336913810000270052.80%57200000.9200100040
17Kevan MillerCleveland (CLB)D6161420112810364057102910.53%63102216.77101962000097110.00%000000.3900101011
18Drew StaffordColumbusLW/RW7951318114019277620606.58%26147.7800012000041047.83%4600000.5900000010
19Ilya ZubovCleveland (CLB)LW/RW7661218-7160404811540835.22%686611.400002440000421043.70%11900000.4211000000
20Denis GurianovCleveland (CLB)LW/RW10448517511204411319.09%121121.161019290001300054.76%8400000.7601100010
21Cody McLeodColumbusLW/RW30314218035827121611.11%22137.1200032000020150.00%800000.3700000001
Statistiques d’équipe totales ou en moyenne142830353784010678795144214392914835205010.40%7322407516.86711332046563152235262074451951.70%748200240.7017539394845
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
1Adin HillCleveland (CLB)49261760.9092.89294917114215520130.50024918411
2Chad JohnsonCleveland (CLB)2413910.9042.95134220666860100.00%02233111
3Keith KinkaidColumbus28121030.8983.34156120878520010.80052640101
Statistiques d’équipe totales ou en moyenne1015136100.9053.025853211295309002479791623


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 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 10Link
Adin HillCleveland (CLB)G251996-05-11 05:55:17Yes204 Lbs6 ft6NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Byron FroeseCleveland (CLB)C/RW301991-03-12No203 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Carl SoderbergCleveland (CLB)C/LW/RW351985-10-12No226 Lbs6 ft3NoNoNoNo2Pro & Farm1,110,000$0$0$No1,110,000$Lien
Chad JohnsonCleveland (CLB)G351986-06-10 10:55:46No218 Lbs6 ft3NoNoNoNo2Pro & Farm525,000$0$0$No525,000$Lien
Cody GoloubefCleveland (CLB)D311989-11-30No203 Lbs6 ft1NoNoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Dave BollandCleveland (CLB)C351986-06-05No190 Lbs6 ft0NoNoNoNo3Pro & Farm980,000$0$0$No980,000$980,000$Lien
Denis GurianovCleveland (CLB)LW/RW241997-06-07No201 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Dillon DubeCleveland (CLB)LW/RW221998-07-20Yes190 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Dustin BrownCleveland (CLB)LW/RW361984-11-04No206 Lbs6 ft0NoNoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Lien
Dustin TokarskiCleveland (CLB)G311989-09-16 05:46:52No203 Lbs5 ft11NoNoNoNo2Pro & Farm701,000$0$0$No701,000$Lien
Erik HaulaCleveland (CLB)C/LW301991-03-23No199 Lbs5 ft11NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Lien
Ilya ZubovCleveland (CLB)LW/RW351986-01-11No199 Lbs6 ft0NoNoNoNo2Pro & Farm1,300,000$0$0$No1,300,000$
Kevan MillerCleveland (CLB)D331987-11-15No214 Lbs6 ft2NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Luke KuninCleveland (CLB)C/RW231997-12-04No201 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Mason AppletonCleveland (CLB)RW251996-01-15No195 Lbs6 ft2NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Matthew BenningCleveland (CLB)D271994-05-25No208 Lbs6 ft1NoNoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Nick HoldenCleveland (CLB)D341987-05-15No217 Lbs6 ft4NoNoNoNo2Pro & Farm901,000$0$0$No901,000$Lien
Nicolas HagueCleveland (CLB)D221998-12-05 03:02:41Yes230 Lbs6 ft6NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Rem PitlickCleveland (CLB)C/LW/RW241997-04-02 04:42:28Yes196 Lbs5 ft11NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Robert BortuzzoCleveland (CLB)D321989-03-18No217 Lbs6 ft4NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Lien
Ryan DzingelCleveland (CLB)LW/RW291992-03-09No196 Lbs6 ft0NoNoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Lien
Vinnie HinostrozaCleveland (CLB)LW/RW271994-04-03No177 Lbs5 ft9NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2229.32204 Lbs6 ft12.18849,636$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dillon DubeRem PitlickMason Appleton33014
2Denis GurianovLuke KuninVinnie Hinostroza32014
3Dustin BrownDave BollandRyan Dzingel25122
4Erik HaulaByron FroeseCarl Soderberg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo40113
2Matthew BenningCody Goloubef30122
3Nick HoldenKevan Miller20122
4Nicolas HagueRobert Bortuzzo10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dillon DubeRem PitlickMason Appleton60104
2Vinnie HinostrozaLuke KuninDenis Gurianov40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo60014
2Matthew BenningCody Goloubef40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dave BollandCarl Soderberg60230
2Rem PitlickByron Froese40230
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo60140
2Matthew BenningCody Goloubef40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dave Bolland60050Nicolas HagueRobert Bortuzzo60050
2Rem Pitlick40050Matthew BenningCody Goloubef40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rem PitlickMason Appleton60113
2Dillon DubeDenis Gurianov40113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueRobert Bortuzzo60122
2Matthew BenningCody Goloubef40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dillon DubeRem PitlickMason AppletonNicolas HagueMatthew Benning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rem PitlickDave BollandLuke KuninNicolas HagueRobert Bortuzzo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Denis Gurianov, Carl Soderberg, Erik HaulaDenis Gurianov, Carl SoderbergErik Haula
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Holden, Kevan Miller, Matthew BenningNick HoldenKevan Miller, Matthew Benning
Tirs de pénalité
Rem Pitlick, Vinnie Hinostroza, Dillon Dube, Denis Gurianov, Dave Bolland
Gardien
#1 : Adin Hill, #2 : Chad Johnson


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
1Abbotsford211000009901010000026-41100000073420.50091625001019198584942869955387614153818211.11%4175.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
2Bakersfield21100000770110000006331010000014-320.5007142100101919856394286995538702021319333.33%4175.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
3Charlotte4310000015114220000009542110000066060.75015294400101919851359428699553814238436620735.00%19573.68%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
4Grand Rapids632010001717031200000611-532001000116580.667173249001019198520194286995538184556311626519.23%26484.62%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
5Hartford42200000201372110000011742110000096340.5002038581010191985139942869955381283730718225.00%13192.31%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
6Hershey4210010011110210001005502110000066050.6251117280010191985130942869955381413828711417.14%14285.71%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
7Iowa2010000136-31000000123-11010000013-210.25035800101919856594286995538441319261317.69%7271.43%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
8Laval6320010021210311001001011-1321000001110170.58321416200101919851929428699553819060558934926.47%21576.19%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
9Lehigh Valley42200000151232200000010462020000058-340.50015274200101919851409428699553814635396726726.92%15286.67%11585314250.45%1547300051.57%743134055.45%2013137918786191064542
10Manitoba3110100013112211000009811000100043140.6671323360010191985118942869955388623184913323.08%9188.89%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
11Milwaukee2020000047-31010000013-21010000034-100.00048121010191985589428699553851212041900.00%9188.89%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
12Ontario210000101073110000004221000001065141.00010162600101919858594286995538632514484125.00%7185.71%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
13Providence614001001321-83110010088030300000513-830.25013233610101919851699428699553821054778625416.00%32584.38%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
14Rochester622002001923-432100000118330100200815-760.500193251001019198519594286995538183516510124520.83%24866.67%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
15Rockford21100000550110000003121010000024-220.50057120010191985609428699553846172533700.00%90100.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
16San Diego321000001091110000004312110000066040.6671016260010191985106942869955381012628531417.14%13376.92%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
17San Jose22000000624110000003121100000031241.00061016001019198573942869955386310204110220.00%20100.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
18Springfield32100000136722000000122101010000014-340.66713223500101919851139428699553810429365112433.33%17382.35%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
19Texas2010000147-31010000002-21000000145-110.25046100010191985869428699553877211427500.00%7271.43%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
20Toronto642000002017333000000127531200000810-280.66720375700101919851909428699553817748481232129.52%24866.67%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
21Tucson21100000111011010000058-31100000062420.50011193000101919857194286995538551763310330.00%3166.67%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
22Utica5410000028151322000000167932100000128480.80028528000101919851699428699553816055687714428.57%19194.74%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
23Wilkes-Barre/Scranton42101000201282100100014682110000066060.75020365600101919851549428699553813127306126311.54%10280.00%11585314250.45%1547300051.57%743134055.45%2013137918786191064542
Total8240310351229425935412511013011631214241152002211131138-7950.5792945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
_Since Last GM Reset8240310351229425935412511013011631214241152002211131138-7950.5792945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
_Vs Conference552820025001991732627176013001127933281114012008794-7650.591199364563201019198518149428699553817924985469282384920.59%2174380.18%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
_Vs Division34131201400105110-5178500200565061757012004960-11320.471105194299101019198510829428699553810863063515811503221.33%1463576.03%01585314250.45%1547300051.57%743134055.45%2013137918786191064542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8295OTL129452682027962628734782139930
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240313512294259
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125111301163121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115202211131138
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
3626919.06%3085980.84%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
9428699553810191985
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
1585314250.45%1547300051.57%743134055.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2013137918786191064542


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-11-255Providence4Cleveland1BLSommaire du match
4 - 2022-11-2621Cleveland1Providence3ALSommaire du match
7 - 2022-11-2832Laval5Cleveland4BLSommaire du match
9 - 2022-11-2942Cleveland5Laval4AWSommaire du match
11 - 2022-11-3057Grand Rapids5Cleveland1BLSommaire du match
13 - 2022-12-0163Cleveland1Utica3ALSommaire du match
15 - 2022-12-0275Cleveland0Rochester5ALSommaire du match
17 - 2022-12-0386Rochester3Cleveland2BLSommaire du match
19 - 2022-12-04101Manitoba2Cleveland4BWSommaire du match
21 - 2022-12-05111Cleveland2San Diego1AWSommaire du match
22 - 2022-12-05115Cleveland3Toronto4ALSommaire du match
25 - 2022-12-07132Rochester2Cleveland4BWSommaire du match
27 - 2022-12-08145Cleveland3Lehigh Valley5ALSommaire du match
28 - 2022-12-08153Cleveland2Wilkes-Barre/Scranton3ALSommaire du match
30 - 2022-12-09162Cleveland5Grand Rapids2AWSommaire du match
32 - 2022-12-10167Toronto4Cleveland6BWSommaire du match
36 - 2022-12-12186Hartford3Cleveland9BWSommaire du match
38 - 2022-12-13199Cleveland3San Jose1AWSommaire du match
39 - 2022-12-14211Hartford4Cleveland2BLSommaire du match
42 - 2022-12-15227Cleveland5Utica3AWSommaire du match
44 - 2022-12-16234Cleveland6Ontario5AWXXSommaire du match
45 - 2022-12-17239Wilkes-Barre/Scranton3Cleveland10BWSommaire du match
48 - 2022-12-18254Cleveland4San Diego5ALSommaire du match
49 - 2022-12-19262Rochester3Cleveland5BWSommaire du match
53 - 2022-12-21279Cleveland3Rochester4ALXSommaire du match
54 - 2022-12-21287Manitoba6Cleveland5BLSommaire du match
57 - 2022-12-23306Hershey3Cleveland2BLXSommaire du match
58 - 2022-12-23317Cleveland3Milwaukee4ALSommaire du match
61 - 2022-12-25330Ontario2Cleveland4BWSommaire du match
63 - 2022-12-26342Cleveland6Tucson2AWSommaire du match
64 - 2022-12-26349Cleveland5Rochester6ALXSommaire du match
66 - 2022-12-27357Hershey2Cleveland3BWSommaire du match
70 - 2022-12-29375Cleveland4Wilkes-Barre/Scranton3AWSommaire du match
71 - 2022-12-30383Iowa3Cleveland2BLXXSommaire du match
74 - 2022-12-31393Cleveland4Laval2AWSommaire du match
76 - 2023-01-01405Toronto1Cleveland3BWSommaire du match
80 - 2023-01-03426Charlotte3Cleveland5BWSommaire du match
82 - 2023-01-04435Cleveland2Lehigh Valley3ALSommaire du match
84 - 2023-01-05448Cleveland3Grand Rapids2AWSommaire du match
86 - 2023-01-06454San Jose1Cleveland3BWSommaire du match
88 - 2023-01-07466Cleveland2Rockford4ALSommaire du match
90 - 2023-01-08478Utica3Cleveland5BWSommaire du match
93 - 2023-01-10491Cleveland1Toronto3ALSommaire du match
95 - 2023-01-11500Texas2Cleveland0BLSommaire du match
97 - 2023-01-12510Cleveland2Laval4ALSommaire du match
98 - 2023-01-12522Cleveland4Manitoba3AWXSommaire du match
100 - 2023-01-13529Utica4Cleveland11BWSommaire du match
103 - 2023-01-15548Tucson8Cleveland5BLSommaire du match
106 - 2023-01-16560Cleveland2Providence5ALSommaire du match
109 - 2023-01-18574Grand Rapids4Cleveland2BLSommaire du match
111 - 2023-01-19588Cleveland6Utica2AWSommaire du match
114 - 2023-01-20596Laval3Cleveland4BWSommaire du match
118 - 2023-01-22615Charlotte2Cleveland4BWSommaire du match
123 - 2023-01-25638Bakersfield3Cleveland6BWSommaire du match
125 - 2023-01-26649Cleveland3Hershey1AWSommaire du match
127 - 2023-01-27660Grand Rapids2Cleveland3BWSommaire du match
128 - 2023-01-27669Cleveland3Grand Rapids2AWXSommaire du match
132 - 2023-01-29687Wilkes-Barre/Scranton3Cleveland4BWXSommaire du match
134 - 2023-01-30699Cleveland3Hershey5ALSommaire du match
137 - 2023-02-01710Milwaukee3Cleveland1BLSommaire du match
138 - 2023-02-01718Cleveland5Charlotte4AWSommaire du match
141 - 2023-02-03733Cleveland7Abbotsford3AWSommaire du match
142 - 2023-02-03737Abbotsford6Cleveland2BLSommaire du match
146 - 2023-02-05758Springfield1Cleveland6BWSommaire du match
147 - 2023-02-06766Cleveland1Springfield4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-02-07779Cleveland4Texas5ALXXSommaire du match
151 - 2023-02-08786San Diego3Cleveland4BWSommaire du match
156 - 2023-02-10805Rockford1Cleveland3BWSommaire du match
157 - 2023-02-11813Cleveland3Hartford5ALSommaire du match
160 - 2023-02-12830Springfield1Cleveland6BWSommaire du match
162 - 2023-02-13839Cleveland1Bakersfield4ALSommaire du match
164 - 2023-02-14849Cleveland2Providence5ALSommaire du match
165 - 2023-02-15858Lehigh Valley2Cleveland6BWSommaire du match
167 - 2023-02-16868Cleveland1Iowa3ALSommaire du match
169 - 2023-02-17875Cleveland4Toronto3AWSommaire du match
171 - 2023-02-18885Cleveland1Charlotte2ALSommaire du match
172 - 2023-02-18887Lehigh Valley2Cleveland4BWSommaire du match
175 - 2023-02-20900Cleveland6Hartford1AWSommaire du match
177 - 2023-02-21911Toronto2Cleveland3BWSommaire du match
183 - 2023-02-24933Laval3Cleveland2BLXSommaire du match
189 - 2023-02-27957Providence1Cleveland5BWSommaire du match
196 - 2023-03-02980Providence3Cleveland2BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance63,49031,462
Assistance PCT77.43%76.74%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2316 - 77.20% 135,605$5,559,785$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,278,536$ 1,869,200$ 1,869,200$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,440$ 1,778,508$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,966$ 0$




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
1Mason Appleton1587090160411229620458212.03%24328220.77183856118224812044.2740.9702
2Rem Pitlick1586286148146412632857410.80%20327620.74142640112022814452.4120.9000
3Dillon Dube152746614089022220657412.89%22316020.79202242144000414247.3400.8904
4Dave Bolland1423088118412382123269.20%30253917.88828366400004251.1000.9300
5Vinnie Hinostroza1345856114224418813443613.30%8231617.291220328400028242.1720.9800

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
1Adin Hill985234120.9092.89589934228431040260.5004
2Chad Johnson48261820.9042.9526854013213720200.00%0
3Keith Kinkaid56242060.8983.3431224017417040020.80010

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
208240310351229425935412511013011631214241152002211131138-7952945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
Total Saison régulière164806206102458851870825022026023262428482304004422262276-14190588105216406020218219610559218841738191076525614681564279872413819.06%61611880.84%43170628450.45%3094600051.57%1486268055.45%402727583756123821291084
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

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

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