Please rotate your device to landscape mode for a better experience.
Connexion

Cleveland
GP: 82 | W: 41 | L: 33 | OTL: 8 | P: 90
GF: 287 | GA: 257 | PP%: 17.75% | PK%: 81.08%
DG: Dany Bourdeau | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Charlotte
51-26-5, 107pts
2
FINAL
3 Cleveland
41-33-8, 90pts
Team Stats
L1SéquenceW2
30-11-0Fiche domicile19-15-7
21-15-5Fiche domicile22-18-1
3-5-2Derniers 10 matchs4-5-1
3.66Buts par match 3.50
2.95Buts contre par match 3.13
21.57%Pourcentage en avantage numérique17.75%
82.59%Pourcentage en désavantage numérique81.08%
Charlotte
51-26-5, 107pts
1
FINAL
2 Cleveland
41-33-8, 90pts
Team Stats
L1SéquenceW2
30-11-0Fiche domicile19-15-7
21-15-5Fiche domicile22-18-1
3-5-2Derniers 10 matchs4-5-1
3.66Buts par match 3.50
2.95Buts contre par match 3.13
21.57%Pourcentage en avantage numérique17.75%
82.59%Pourcentage en désavantage numérique81.08%
Meneurs d'équipe
Vinnie HinostrozaButs
Vinnie Hinostroza
37
Passes
Dustin Brown
45
Points
Colin Wilson
71
Plus/Moins
Colin Wilson
34
Adin HillVictoires
Adin Hill
29
Pourcentage d’arrêts
Chad Johnson
0.916

Statistiques d’équipe
Buts pour
287
3.50 GFG
Tirs pour
3040
37.07 Avg
Pourcentage en avantage numérique
17.8%
60 GF
Début de zone offensive
41.3%
Buts contre
257
3.13 GAA
Tirs contre
2835
34.57 Avg
Pourcentage en désavantage numérique
81.1%%
77 GA
Début de la zone défensive
41.7%
Informations de l'équipe

Directeur généralDany Bourdeau
EntraîneurAndre Tourigny
DivisionAtlantique
ConférenceConference est
CapitaineZach Parise
Assistant #1Dave Bolland
Assistant #2Brenden Dillon


Informations de l’aréna

Capacité3,000
Assistance2,796
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs27


Historique d'équipe

Saison actuelle41-33-8 (90PTS)
Historique0-0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Derick BrassardXXX100.006634936478698474757372687985652350003531,210,000$
2Zach Parise (C)XX100.007828897080809972707077689098981150003811,510,000$
3Chris WagnerX100.00822876707573846870667069757470255000323850,000$
4Jordan MartinookXXX100.006719986880789065836369748660553450003021,000,000$
5Ryan DzingelXX100.007335867980859269696670568068565350003111,100,000$
6Frank VatranoXX100.008038887681829371726974608358605250002921,100,000$
7Dave Bolland (A)X100.00581793507566606772676669838585165000371980,000$
8Nick CousinsXXX100.006634797677778770736969598659463850002931,000,000$
9Vinnie HinostrozaXX100.00743189837582917575697862875754485000291975,000$
10Dustin BrownXX100.007221886179749971697367658387992250003811,100,000$
11Zach SanfordX100.00673294729578886470646762765352245000281600,000$
12Colin WilsonXXX100.006922967377729072836671678372662950003331,100,000$
13Alexander BarabanovXX100.00722898767886886770667163776463465000291500,000$
14Robert BortuzzoX100.00652986639773824950505191707875175000341975,000$
15Michael StoneX100.00714561618481975650535586587058385000333950,000$
16Dylan Samberg (R)X100.00793079799281995070564295754646705000242800,000$
17Andreas Englund (R)X100.00928069718777994470484187755757555000261700,000$
18Brenden Dillon (A)X100.009860677191869753505256917574743950003231,300,000$
19Matthew BenningX100.007237567779879060536055897558494650002921,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0074348371827890646863647379696536500
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
1Adin Hill100.0068878082768586878683795353655000272925,000$
2Chad Johnson100.005790828171828083847873949375000373500,000$
Rayé
MOYENNE D’ÉQUIPE100.006389818274848385858176747336500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andre Tourigny78748596928875CAN5032,500,000$


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
1Colin WilsonCleveland (CLB)C/LW/RW8127447134200461312385915611.34%12128615.888101843240000003153.61%181500001.1000000396
2Zach PariseCleveland (CLB)LW/RW77264167844010393295751978.81%14164521.36581363258000102654151.83%62900000.8147000543
3Derick BrassardCleveland (CLB)C/LW/RW81224163618058147228691759.65%8160319.79414185126520252470252.35%204400000.7902000313
4Vinnie HinostrozaCleveland (CLB)LW/RW82372663295001341093358723111.04%6164020.0157127728001192465151.05%42900000.7717000752
5Dustin BrownCleveland (CLB)LW/RW82174562334607238198411258.59%9142317.3661016432710004712248.80%12500000.8712000225
6Matthew BenningCleveland (CLB)D821345582313020134107169461237.69%119183922.44611171092730002304100%000000.6300103403
7Brenden DillonCleveland (CLB)D82124355151872522087175581386.86%150191123.3131417822730001264300%000100.5800131212
8Frank VatranoCleveland (CLB)LW/RW8220224297515103642004212710.00%6107113.0712313340001214160.00%6500100.7800011213
9Dylan SambergCleveland (CLB)D7410314120455576611735818.55%133167422.6371017692530003286120%000000.4900001023
10Robert BortuzzoCleveland (CLB)D8110293928055812043698.33%135184322.765813542620000308210%000000.4200000023
11Jordan MartinookCleveland (CLB)C/LW/RW82142438416018116154461019.09%20107213.080000301131833054.30%109400000.7125000100
12Chris WagnerCleveland (CLB)RW79171734744094741684712210.12%18106813.531122200003753052.31%13000000.6400000411
13Brendan LemieuxColumbusLW/RW371417315731511448154401129.09%776020.57044189500051144154.22%16600020.8113003400
14Michael StoneCleveland (CLB)D826222815361035498120467.41%92122114.891128360000730025.00%400000.4600101030
15Andreas EnglundCleveland (CLB)D77418221415630105465718317.02%84113914.8020236000210110100.00%100000.3900312000
16Dave BollandCleveland (CLB)C82111122-5100105495217211.58%1097411.8816791470003680053.80%52600000.4500000111
17Ryan DzingelCleveland (CLB)LW/RW8299186235412811125668.11%45456.6600000000050156.36%5500000.6600100111
18Nick CousinsCleveland (CLB)C/LW/RW8231316622029287020654.29%34915.9900000000040050.30%33600000.6502000000
19J.T. CompherColumbusC/RW137613-30054349153114.29%330023.14551012420003530055.58%43000000.8600000010
20Zach SanfordCleveland (CLB)LW574610720851642525.00%22304.0500003000011047.62%2100000.8700000000
21Nicolas HagueColumbusD2011100355030%65125.9100005000011000%000000.3900000010
22Alexander BarabanovCleveland (CLB)LW/RW2000020134060%0189.340000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne1481283511794236100712513951399303981121029.31%8412381616.08601111716562772224542710371353.03%787100220.679287512393536
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)53292040.9093.1031374216217730220.62585328533
2Chad JohnsonCleveland (CLB)31121340.9162.931824008910600000.750202954223
Statistiques d’équipe totales ou en moyenne84413380.9113.044961422512833022288282756


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adin HillCleveland (CLB)G271996-05-11CANNo204 Lbs6 ft6NoNoN/ANoNo22024-09-14FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Alexander Barabanov (contrat à 1 volet)Cleveland (CLB)LW/RW291994-06-17RUSNo195 Lbs5 ft10NoNoN/AYesYes12024-09-14FalseFalsePro & Farm500,000$5,000$0$No---------------------------Lien NHL
Andreas EnglundCleveland (CLB)D261996-09-21SWEYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Brenden DillonCleveland (CLB)D321990-11-13CANNo225 Lbs6 ft4NoNoFree AgentNoNo32024-10-02FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien / Lien NHL
Chad JohnsonCleveland (CLB)G371986-06-10CANNo218 Lbs6 ft3NoNoFree AgentNoNo32024-10-08FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Chris WagnerCleveland (CLB)RW321991-05-27USANo197 Lbs6 ft0NoNoFree AgentNoNo32024-09-26FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Colin WilsonCleveland (CLB)C/LW/RW331989-10-20USANo223 Lbs6 ft1NoNoFree AgentNoNo32024-09-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien
Dave BollandCleveland (CLB)C371986-06-05CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm980,000$0$0$No---------------------------Lien
Derick BrassardCleveland (CLB)C/LW/RW351987-09-22CANNo200 Lbs6 ft1NoNoFree AgentNoNo32024-09-24FalseFalsePro & Farm1,210,000$0$0$No1,210,000$1,210,000$-------1,210,000$1,210,000$-------NoNo-------
Dustin BrownCleveland (CLB)LW/RW381984-11-04USANo206 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Dylan SambergCleveland (CLB)D241999-01-24NAYes216 Lbs6 ft4NoNoTrade2024-10-06NoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Frank VatranoCleveland (CLB)LW/RW291994-03-14USANo206 Lbs5 ft9NoNoN/ANoNo22024-09-14FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Jordan MartinookCleveland (CLB)C/LW/RW301992-07-25CANNo209 Lbs6 ft0NoNoFree AgentNoNo22024-09-26FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Matthew BenningCleveland (CLB)D291994-05-25CANNo208 Lbs6 ft1NoNoN/ANoNo22024-09-14FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Michael StoneCleveland (CLB)D331990-06-07CANNo218 Lbs6 ft3NoNoFree AgentNoNo32024-10-02FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Nick CousinsCleveland (CLB)C/LW/RW291993-07-20CANNo192 Lbs5 ft10NoNoFree AgentNoNo32024-10-02FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Robert BortuzzoCleveland (CLB)D341989-03-18CANNo217 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No---------------------------Lien
Ryan DzingelCleveland (CLB)LW/RW311992-03-09CANNo196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Vinnie HinostrozaCleveland (CLB)LW/RW291994-04-03USANo177 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No---------------------------Lien / Lien NHL
Zach PariseCleveland (CLB)LW/RW381984-07-28USANo195 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,510,000$0$0$No---------------------------Lien NHL
Zach Sanford (contrat à 1 volet)Cleveland (CLB)LW281994-11-09USANo209 Lbs6 ft4NoNoN/AYesYes1FalseFalsePro & Farm600,000$6,000$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2131.43205 Lbs6 ft11.90960,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseDerick BrassardVinnie Hinostroza35122
2Dustin BrownColin WilsonFrank Vatrano30122
3Ryan DzingelJordan MartinookChris Wagner25122
4Nick CousinsDave BollandAlexander Barabanov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brenden DillonMatthew Benning35122
2Dylan SambergRobert Bortuzzo30122
3Michael StoneAndreas Englund25122
4Brenden DillonMatthew Benning10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach PariseDerick BrassardVinnie Hinostroza50122
2Dustin BrownColin WilsonFrank Vatrano50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brenden DillonMatthew Benning50122
2Dylan SambergRobert Bortuzzo50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach PariseDerick Brassard50122
2Vinnie HinostrozaDustin Brown50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brenden DillonMatthew Benning50122
2Dylan SambergRobert Bortuzzo50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Parise50122Brenden DillonMatthew Benning50122
2Derick Brassard50122Dylan SambergRobert Bortuzzo50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach PariseDerick Brassard50122
2Vinnie HinostrozaDustin Brown50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brenden DillonMatthew Benning50122
2Dylan SambergRobert Bortuzzo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseDerick BrassardVinnie HinostrozaBrenden DillonMatthew Benning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zach PariseDerick BrassardVinnie HinostrozaBrenden DillonMatthew Benning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Sanford, Chris Wagner, Jordan MartinookZach Sanford, Chris WagnerJordan Martinook
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Stone, Andreas Englund, Dylan SambergMichael StoneAndreas Englund, Dylan Samberg
Tirs de pénalité
Zach Parise, Derick Brassard, Vinnie Hinostroza, Dustin Brown, Frank Vatrano
Gardien
#1 : Adin Hill, #2 : Chad Johnson
Lignes d’attaque personnalisées en prolongation
Zach Parise, Derick Brassard, Vinnie Hinostroza, Dustin Brown, Frank Vatrano, Chris Wagner, Colin Wilson, Jordan Martinook, Ryan Dzingel, Dave Bolland
Lignes de défense personnalisées en prolongation
Brenden Dillon, Matthew Benning, Dylan Samberg, Robert Bortuzzo, Michael Stone


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
1Abbotsford3200001014861100000041321000010107361.0001425390010590841313899010081006659928304719736.84%130100.00%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
2Bakersfield320001001073210001006511100000042250.83310152500105908413130990100810066510839375415213.33%9277.78%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
3Bridgeport421000101918121000010118321100000810-260.75019325100105908413154990100810066513242427421419.05%18950.00%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
4Charlotte431000001394220000005322110000086260.7501323360010590841314899010081006651313138651800.00%18194.44%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
5Coachella Valley320001001284210001007521100000053250.8331220320010590841312599010081006657621285814321.43%14378.57%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
6Eagles30200100712-51000010023-12020000059-410.167713200010590841310199010081006659625335015426.67%14192.86%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
7Grand Rapids43000010209112100001086222000000123981.00020335300105908413144990100810066514536377016318.75%16193.75%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
8Hartford412010001011-12020000047-32100100064240.50010182810105908413120990100810066514347546316318.75%17382.35%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
9Hershey40300001712-52010000135-22020000047-310.125713200010590841314399010081006651225276631218.33%19384.21%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
10Iowa3300000027522220000001731411000000102861.0002749760110590841315999010081006657223374011327.27%14285.71%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
11Laval422000001415-1211000007702110000078-140.50014253900105908413137990100810066516250445616212.50%20480.00%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
12Lehigh Valley504010001219-72020000049-530201000810-220.2001222341010590841316699010081006652096370971815.56%34682.35%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
13Manitoba31200000913-41010000025-32110000078-120.33391726001059084139399010081006651062449635120.00%17664.71%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
14Ontario3120000058-32110000046-21010000012-120.3335813001059084139499010081006651243935478225.00%15473.33%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
15Providence40300001814-62020000035-22010000159-410.1258142200105908413114990100810066514244545913323.08%20480.00%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
16Rochester42100100161332010010057-222000000116550.62516304600105908413166990100810066514041527818316.67%20385.00%11754322354.42%1703325952.26%722132754.41%1976132219136361080541
17Rockford303000001013-31010000034-12020000079-200.000101929001059084139399010081006659921415310110.00%17664.71%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
18San Diego3200001015872200000011561000001043161.0001525400010590841311599010081006659430275417741.18%110100.00%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
19San Jose3210000010100110000004312110000067-140.66710192900105908413119990100810066511838503917317.65%19478.95%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
20Springfield31100001710-3210000016511010000015-430.5007132000105908413100990100810066510429325613215.38%15473.33%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
21Syracuse420010011971220001001660220000001311270.87519365501105908413220990100810066513444407816318.75%20195.00%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
22Texas413000001116-520200000410-62110000076120.2501119300010590841312799010081006651284139711200.00%15566.67%11754322354.42%1703325952.26%722132754.41%1976132219136361080541
23Wilkes-Barre/Scranton4120100012120211000004402010100088040.50012233500105908413134990100810066515133666018211.11%32584.38%01754322354.42%1703325952.26%722132754.41%1976132219136361080541
Total82333304444287257304116150142313012284117180302115713522900.54928751179822105908413304099010081006652835841101113953386017.75%4077781.08%21754322354.42%1703325952.26%722132754.41%1976132219136361080541
_Since Last GM Reset82333304444287257304116150142313012284117180302115713522900.54928751179822105908413304099010081006652835841101113953386017.75%4077781.08%21754322354.42%1703325952.26%722132754.41%1976132219136361080541
_Vs Conference451619041231501391122610011226067-72310903001907218480.533150269419211059084131646990100810066516114835737631822513.74%2344082.91%11754322354.42%1703325952.26%722132754.41%1976132219136361080541
_Vs Division21412030116072-121026000112633-71126030003439-5170.40560108168201059084137179901008100665757237308357851112.94%1202678.33%01754322354.42%1703325952.26%722132754.41%1976132219136361080541

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290W2287511798304028358411011139522
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233334444287257
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116151423130122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117183021157135
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3386017.75%4077781.08%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
9901008100665105908413
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
1754322354.42%1703325952.26%722132754.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1976132219136361080541


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
210Cleveland11Syracuse0WSommaire du match
520Laval3Cleveland2LSommaire du match
732Ontario2Cleveland3WSommaire du match
942Cleveland3Rockford4LSommaire du match
1152Cleveland3Lehigh Valley2WXSommaire du match
1361Wilkes-Barre/Scranton3Cleveland0LSommaire du match
1681Coachella Valley4Cleveland3LXSommaire du match
1889Cleveland5Abbotsford4WXXSommaire du match
20102Providence3Cleveland2LSommaire du match
22111Cleveland2Charlotte3LSommaire du match
24123Cleveland1Lehigh Valley3LSommaire du match
26134Springfield2Cleveland4WSommaire du match
29147Cleveland5Manitoba4WSommaire du match
31158Lehigh Valley5Cleveland3LSommaire du match
34174Cleveland5Grand Rapids1WSommaire du match
35183Texas6Cleveland2LSommaire du match
38201Cleveland2Syracuse1WSommaire du match
39209Bridgeport4Cleveland5WXXSommaire du match
43225Iowa3Cleveland13WSommaire du match
45242Cleveland3Hershey5LSommaire du match
46249Cleveland10Iowa2WSommaire du match
48256Springfield3Cleveland2LXXSommaire du match
51267Cleveland4Lehigh Valley5LSommaire du match
52277Rockford4Cleveland3LSommaire du match
55295Cleveland2Manitoba4LSommaire du match
56303Eagles3Cleveland2LXSommaire du match
58314Cleveland3Hartford2WSommaire du match
60325Hartford3Cleveland2LSommaire du match
63340Cleveland5Bridgeport4WSommaire du match
64349Cleveland5Coachella Valley3WSommaire du match
66357Hartford4Cleveland2LSommaire du match
69374Bakersfield4Cleveland3LXSommaire du match
71381Cleveland3Rochester1WSommaire du match
74395Cleveland1Providence4LSommaire du match
75402Manitoba5Cleveland2LSommaire du match
78411Cleveland3Bridgeport6LSommaire du match
80425San Diego3Cleveland7WSommaire du match
83440Cleveland4Providence5LXXSommaire du match
85451Lehigh Valley4Cleveland1LSommaire du match
87459Cleveland3Hartford2WXSommaire du match
89472Cleveland1Ontario2LSommaire du match
91478Laval4Cleveland5WSommaire du match
93496Hershey3Cleveland2LXXSommaire du match
95507Cleveland4Bakersfield2WSommaire du match
97516Cleveland7Grand Rapids2WSommaire du match
99526Syracuse3Cleveland2LXXSommaire du match
101538Cleveland4San Diego3WXXSommaire du match
103543Cleveland3San Jose6LSommaire du match
104550Hershey2Cleveland1LSommaire du match
108568Cleveland5Wilkes-Barre/Scranton4WXSommaire du match
109575Bakersfield1Cleveland3WSommaire du match
112587Cleveland4Rockford5LSommaire du match
114597Iowa0Cleveland4WSommaire du match
119618Cleveland6Texas3WSommaire du match
120623San Diego2Cleveland4WSommaire du match
125644Cleveland3San Jose1WSommaire du match
126646Texas4Cleveland2LSommaire du match
129663Cleveland6Charlotte3WSommaire du match
130671Syracuse3Cleveland4WXSommaire du match
133688Cleveland8Rochester5WSommaire du match
134695Coachella Valley1Cleveland4WSommaire du match
137712Cleveland3Eagles5LSommaire du match
138719Cleveland5Abbotsford3WSommaire du match
139721Bridgeport4Cleveland6WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
143742Grand Rapids4Cleveland5WXXSommaire du match
145756Cleveland2Eagles4LSommaire du match
147767Ontario4Cleveland1LSommaire du match
150787Abbotsford1Cleveland4WSommaire du match
151791Cleveland4Laval3WSommaire du match
155810Wilkes-Barre/Scranton1Cleveland4WSommaire du match
156818Cleveland1Hershey2LSommaire du match
159835Cleveland1Springfield5LSommaire du match
161840San Jose3Cleveland4WSommaire du match
163852Cleveland3Wilkes-Barre/Scranton4LSommaire du match
165863Grand Rapids2Cleveland3WSommaire du match
170887Providence2Cleveland1LSommaire du match
172899Cleveland1Texas3LSommaire du match
174910Rochester4Cleveland3LXSommaire du match
179930Cleveland3Laval5LSommaire du match
180936Rochester3Cleveland2LSommaire du match
184955Charlotte2Cleveland3WSommaire du match
192979Charlotte1Cleveland2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4025
Assistance76,31738,320
Assistance PCT93.07%93.46%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2796 - 93.20% 135,120$5,539,924$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,448,596$ 1,907,500$ 1,907,500$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,832$ 1,948,525$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 22,719$ 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

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

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

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