Connexion

CLEVELAND Monsters
GP: 4 | W: 2 | L: 2
GF: 15 | GA: 14 | PP%: 25.00% | PK%: 75.00%
DG: Jonathan Brisebois | Morale : 98 | Moyenne d’équipe : 61
Prochains matchs #36 vs BELLEVILLE Senators
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Centre de jeu
BELLEVILLE Senators
2-2-0, 4pts
3
FINAL
4 CLEVELAND Monsters
2-2-0, 4pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-2-0Derniers 10 matchs2-1-1
3.50Buts par match 3.75
3.75Buts contre par match 3.50
25.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique75.00%
BELLEVILLE Senators
2-2-0, 4pts
4
FINAL
3 CLEVELAND Monsters
2-2-0, 4pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-1-0
2-2-0Derniers 10 matchs2-1-1
3.50Buts par match 3.75
3.75Buts contre par match 3.50
25.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique75.00%
CLEVELAND Monsters
2-2-0, 4pts
Jour 9
BELLEVILLE Senators
2-2-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-1-110 derniers matchs2-2-0
3.75Buts par match 3.50
3.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique75.00%
BELLEVILLE Senators
2-2-0, 4pts
Jour 11
CLEVELAND Monsters
2-2-0, 4pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs2-1-1
3.50Buts par match 3.75
3.75Buts contre par match 3.75
25.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique75.00%
CLEVELAND Monsters
2-2-0, 4pts
Jour 13
BELLEVILLE Senators
2-2-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-1-110 derniers matchs2-2-0
3.75Buts par match 3.50
3.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Ryan PoehlingButs
Ryan Poehling
3
Pierre-Olivier JosephPasses
Pierre-Olivier Joseph
4
Ryan PoehlingPoints
Ryan Poehling
6
Ryan PoehlingPlus/Moins
Ryan Poehling
3
Samuel ErssonVictoires
Samuel Ersson
2
Pourcentage d’arrêts
Will Cranley
0.955

Statistiques d’équipe
Buts pour
15
3.75 GFG
Tirs pour
124
31.00 Avg
Pourcentage en avantage numérique
25.0%
2 GF
Début de zone offensive
41.1%
Buts contre
14
3.50 GAA
Tirs contre
116
29.00 Avg
Pourcentage en désavantage numérique
75.0%%
3 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralJonathan Brisebois
EntraîneurJay Woodcroft
DivisionNord
ConférenceEST
CapitaineDavid Gustafsson
Assistant #1Tanner Kero
Assistant #2Cale Fleury


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 80
Espoirs29


Historique d'équipe

Saison actuelle2-2
Historique170-79-14 (0.646%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)18-7
Coupe Stanley1


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
1Ryan PoehlingXX100.0073438876838380747067687572695909069X02421,540,000$
2David Gustafsson (C)XX100.0068458272817673676964596867615408964X0231899,250$
3Elmer Soderblom (R)XX100.00664076668977646840626464665150089630223878,333$
4Tanner Kero (A)XX100.0057437169657272656064595865696108962X0313852,500$
5Pontus Holmberg (R)X100.0062476972767563656263616266525008962X0242827,500$
6Brett SeneyXX100.0053516173516767666165616267555008961X0273852,500$
7Nikita Nesterenko (R)X100.00574071707578606640606160665150089610222925,000$
8Joona LuotoXX100.0062407064656363624157585961525009059X0262758,000$
9Josiah SlavinX100.0058457064646463614157555560525008058X0242927,000$
10Jacob PerreaultX100.0058476464646059614158555160505007157X0214950,000$
11Pierre-Olivier JosephX100.0073536976747975754071657372575209067X0241949,700$
12Jalen ChatfieldX100.0071557077727976734065657771585208666X0271750,000$
13Cale Fleury (A)X100.0067477171797867664062596765615408963X0251825,000$
14Adam Ginning (R)X100.0067446268656262624060566762515008960X0232883,750$
15Jake BischoffX100.0056406966626666624057576061565108059X0292750,000$
16Alex GreenX100.0062526566656363594054536459535008158X0253852,500$
17Michael KarowX100.0064526367656159584053526759525006058X0253852,500$
Rayé
1David KaseXX100.0055359562667273636161616064676502062X02600$
2Luke StevensX100.0062406858676260544053535755535002156X02600$
3William Trudeau (R)X81.28635162696357576340625766635050079600213856,667$
MOYENNE D’ÉQUIPE99.0563467169707066654761596464565207861
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
1Samuel Ersson100.00756463737072727373696852500756402451,375,000$
2Will Cranley100.006777828366656766656766596108961X0214926,000$
3Rasmus Korhonen (R)100.006568668864636564636564606304760X0212750,000$
Rayé
MOYENNE D’ÉQUIPE100.006970708167676868676766575807062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Woodcroft8382927964691CAN4631,000,000$


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
1Ryan PoehlingCLEVELAND Monsters (CLB)C/LW43363203131882416.67%29122.90112370111100066.67%600001.3100000011
2Pierre-Olivier JosephCLEVELAND Monsters (CLB)D41453407813377.69%59824.580112701108000%000001.0200000000
3Jalen ChatfieldCLEVELAND Monsters (CLB)D41343008951320.00%810025.0200027101110000%000000.8000000100
4Cale FleuryCLEVELAND Monsters (CLB)D4224-1007564533.33%88621.730000600008000%000000.9200000000
5David GustafssonCLEVELAND Monsters (CLB)C/LW403322041194130%09323.45011290000100054.13%10900000.6400000000
6Joona LuotoCLEVELAND Monsters (CLB)LW/RW4033100324250%09724.4301125000000025.00%800000.6100000001
7Adam GinningCLEVELAND Monsters (CLB)D4303-1607772242.86%58320.981012600015100%000000.7100000000
8Elmer SoderblomCLEVELAND Monsters (CLB)C/LW41230401413194145.26%08220.6200000000000042.86%700000.7300000001
9Nikita NesterenkoCLEVELAND Monsters (CLB)C430300077102230.00%16115.4200000000001050.00%400010.9700000100
10Brett SeneyCLEVELAND Monsters (CLB)C/LW4022000553230%04611.7000001000030058.33%1200000.8500000000
11Tanner KeroCLEVELAND Monsters (CLB)C/LW402200039113100%29523.9800017000020054.39%11400000.4200000000
12Pontus HolmbergCLEVELAND Monsters (CLB)C4022-10071211250%07518.9000023000070054.00%5000000.5300000010
13Alex GreenCLEVELAND Monsters (CLB)D4011220642020%25814.530000000001000%000000.3400000000
14Jacob PerreaultCLEVELAND Monsters (CLB)RW410122094133100.00%08721.8800007000000150.00%400000.2300000000
15Jake BischoffCLEVELAND Monsters (CLB)D4000100404210%26115.490000000003000%00000000000000
16Michael KarowCLEVELAND Monsters (CLB)D4000-320210000%0112.760000000000000%00000000000000
17William TrudeauCLEVELAND Monsters (CLB)D1000-100021000%088.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne651527421024096112124429912.10%35124119.1024616701233732153.50%31400010.6800000223
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
1Samuel ErssonCLEVELAND Monsters (CLB)42110.8623.772070013940000040000
2Will CranleyCLEVELAND Monsters (CLB)10000.9551.3644001220000004000
Statistiques d’équipe totales ou en moyenne52110.8793.332520014116000044000


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 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 Non Activé 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 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
Adam GinningCLEVELAND Monsters (CLB)D232000-01-13Yes196 Lbs6 ft3NoYesN/ANoNo2FalseFalsePro & Farm883,750$378,750$0$0$No883,750$--------No--------
Alex GreenCLEVELAND Monsters (CLB)D251998-06-18No194 Lbs6 ft3NoYesN/ANoNo3FalseFalsePro & Farm852,500$365,357$0$0$No852,500$852,500$-------NoNo-------Lien NHL
Brett SeneyCLEVELAND Monsters (CLB)C/LW271996-02-29No157 Lbs5 ft9NoYesN/ANoNo3FalseFalsePro & Farm852,500$365,357$0$0$No852,500$852,500$-------NoNo-------Lien NHL
Cale FleuryCLEVELAND Monsters (CLB)D251998-11-19No204 Lbs6 ft1NoYesN/ANoNo1FalseFalsePro & Farm825,000$353,571$0$0$No------------------Lien NHL
David GustafssonCLEVELAND Monsters (CLB)C/LW232000-04-11No212 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm899,250$385,393$0$0$No------------------Lien NHL
David KaseCLEVELAND Monsters (CLB)LW/RW261997-01-28No169 Lbs5 ft11NoYesN/ANoNo0FalseFalsePro & Farm0$0$No------------------Lien
Elmer SoderblomCLEVELAND Monsters (CLB)C/LW222001-07-05Yes246 Lbs6 ft8NoNoN/ANoNo3FalseFalsePro & Farm878,333$376,428$0$0$No878,333$878,333$-------NoNo-------
Jacob PerreaultCLEVELAND Monsters (CLB)RW212002-04-15No192 Lbs5 ft11NoYesN/ANoNo4FalseFalsePro & Farm950,000$407,143$0$0$No950,000$950,000$950,000$------NoNoNo------Lien NHL
Jake BischoffCLEVELAND Monsters (CLB)D291994-07-25No187 Lbs6 ft1NoYesN/ANoNo2FalseFalsePro & Farm750,000$321,429$0$0$No750,000$--------No--------
Jalen ChatfieldCLEVELAND Monsters (CLB)D271996-05-15No188 Lbs6 ft1NoYesN/ANoNo1FalseFalsePro & Farm750,000$321,429$0$0$No------------------Lien NHL
Joona LuotoCLEVELAND Monsters (CLB)LW/RW261997-09-26No201 Lbs6 ft3NoYesN/ANoNo2FalseFalsePro & Farm758,000$324,857$0$0$No758,000$--------No--------
Josiah SlavinCLEVELAND Monsters (CLB)C241998-12-31No190 Lbs6 ft3NoYesN/ANoNo2FalseFalsePro & Farm927,000$397,286$0$0$No927,000$--------No--------Lien NHL
Luke StevensCLEVELAND Monsters (CLB)LW261997-02-11No207 Lbs6 ft5NoYesN/ANoNo0FalseFalsePro & Farm0$0$No------------------
Michael KarowCLEVELAND Monsters (CLB)D251998-12-18No201 Lbs6 ft2NoYesN/ANoNo3FalseFalsePro & Farm852,500$365,357$0$0$No852,500$852,500$-------NoNo-------Lien NHL
Nikita NesterenkoCLEVELAND Monsters (CLB)C222001-09-10Yes183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$396,429$0$0$No925,000$--------No--------
Pierre-Olivier JosephCLEVELAND Monsters (CLB)D241999-07-01No185 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm949,700$407,014$0$0$No------------------Lien NHL
Pontus HolmbergCLEVELAND Monsters (CLB)C241999-03-09Yes202 Lbs6 ft0NoYesN/ANoNo2FalseFalsePro & Farm827,500$354,643$0$0$No827,500$--------No--------
Rasmus KorhonenCLEVELAND Monsters (CLB)G212002-10-22Yes194 Lbs6 ft5NoYesN/ANoNo2FalseFalsePro & Farm750,000$321,429$0$0$No750,000$--------No--------Lien NHL
Ryan PoehlingCLEVELAND Monsters (CLB)C/LW241999-01-03No196 Lbs6 ft2NoYesN/ANoNo2FalseFalsePro & Farm1,540,000$660,000$0$0$No1,540,000$--------No--------Lien NHL
Samuel ErssonCLEVELAND Monsters (CLB)G241999-10-20No176 Lbs6 ft2NoNoN/ANoNo5FalseFalsePro & Farm1,375,000$589,286$0$0$No1,375,000$1,375,000$1,375,000$1,375,000$-----NoNoNoNo-----Lien NHL
Tanner KeroCLEVELAND Monsters (CLB)C/LW311992-07-24No185 Lbs6 ft0NoYesFree AgentNoNo32024-01-21FalseFalsePro & Farm852,500$365,357$0$0$No852,500$852,500$-------NoNo-------Lien NHL
Will CranleyCLEVELAND Monsters (CLB)G212002-02-26No183 Lbs6 ft4NoYesN/ANoNo4FalseFalsePro & Farm926,000$396,857$0$0$No926,000$926,000$926,000$------NoNoNo------Lien
William Trudeau (sur la masse salariale)CLEVELAND Monsters (CLB)D212002-10-11Yes190 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm856,667$367,143$0$0$Yes856,667$856,667$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.39193 Lbs6 ft22.22833,965$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan PoehlingDavid GustafssonJoona Luoto40023
2Elmer SoderblomTanner KeroJacob Perreault30041
3Nikita NesterenkoPontus HolmbergJoona Luoto20041
4Tanner KeroBrett SeneyJoona Luoto10050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJalen Chatfield40041
2Cale FleuryAdam Ginning30041
3Alex GreenJake Bischoff20131
4Pierre-Olivier JosephJalen Chatfield10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan PoehlingDavid GustafssonJoona Luoto60014
2David GustafssonTanner KeroJacob Perreault40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJalen Chatfield60023
2Cale FleuryAdam Ginning40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonRyan Poehling60041
2Tanner KeroDavid Gustafsson40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJalen Chatfield60041
2Cale FleuryAdam Ginning40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Gustafsson60050Pierre-Olivier JosephJalen Chatfield60050
2Tanner Kero40050Cale FleuryAdam Ginning40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonRyan Poehling60023
2Tanner KeroDavid Gustafsson40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJalen Chatfield60032
2Cale FleuryAdam Ginning40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan PoehlingDavid GustafssonJoona LuotoPierre-Olivier JosephJalen Chatfield
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan PoehlingDavid GustafssonJoona LuotoPierre-Olivier JosephJalen Chatfield
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pontus Holmberg, Brett Seney, Nikita NesterenkoPontus Holmberg, Brett SeneyPontus Holmberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Bischoff, Alex Green, Michael KarowJake BischoffJake Bischoff, Alex Green
Tirs de pénalité
Ryan Poehling, David Gustafsson, Elmer Soderblom, Tanner Kero, Pontus Holmberg
Gardien
#1 : Samuel Ersson, #2 : Will Cranley


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
1BELLEVILLE Senators4220000015141211000007702110000087140.50015274200474012452353251163524968225.00%12375.00%16912953.49%6412551.20%356058.33%1057491285428
Total4220000015141211000007702110000087140.50015274200474012452353251163524968225.00%12375.00%16912953.49%6412551.20%356058.33%1057491285428
_Since Last GM Reset4220000015141211000007702110000087140.50015274200474012452353251163524968225.00%12375.00%16912953.49%6412551.20%356058.33%1057491285428
_Vs Conference4220000015141211000007702110000087140.50015274200474012452353251163524968225.00%12375.00%16912953.49%6412551.20%356058.33%1057491285428

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44OTL115274212411635249600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
42200001514
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000077
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000087
Derniers 10 matchs
WLOTWOTL SOWSOL
210100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8225.00%12375.00%1
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
52353254740
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
6912953.49%6412551.20%356058.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1057491285428


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
14CLEVELAND Monsters2BELLEVILLE Senators5LSommaire du match
312CLEVELAND Monsters6BELLEVILLE Senators2WSommaire du match
520BELLEVILLE Senators3CLEVELAND Monsters4WSommaire du match
728BELLEVILLE Senators4CLEVELAND Monsters3LXSommaire du match
936CLEVELAND Monsters-BELLEVILLE Senators-
1144BELLEVILLE Senators-CLEVELAND Monsters-
1352CLEVELAND Monsters-BELLEVILLE Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
51 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,832,453$ 1,829,153$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 0$ 0$




CLEVELAND Monsters 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
1Ryan Poehling21014524038528392458546107813.45%57467222.251636521024041616860.94%131.6525
2Pierre-Olivier Joseph2016825131929611432832646514.62%254479323.851222341550334960%11.3301
3Cale Fleury2605322527829912045826047311.21%257551121.201626421501784820%11.0100
4Brett Seney2601111442552125423038773715.06%43376214.475121729011111355.06%61.3611
5David Gustafsson2591201322521354827353678815.23%56434616.78152742802132013461.47%61.1618

CLEVELAND Monsters 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
1Samuel Ersson104633440.8892.96599821229626600560.83324
2Casey DeSmith74611200.9141.93441041614216450201.0009
3Will Cranley83403150.8863.2042712822820040230.7789
4Gilles Senn106210.8783.74529013327002000
5Rasmus Korhonen140010.9122.58395001719300000

CLEVELAND Monsters 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
1482611403130728175553413070211036783284413170102036192269135728135720850174221911096514116461694178227191557335015451352820.74%1462086.30%41709259565.86%1206206858.32%1128164268.70%264321101391444909506
157233290351139623016636181202400220112108361517011111761185880396732112838194110885282489092399719204257633113571633923.93%1473774.83%21227222755.10%1094212851.41%688131652.28%191614041519477909472
161065536052624463241225329180204022416064532618032222221645813644679312396216914212414345511071111120267285888875324643078828.66%3307278.18%92094353459.25%1798318956.38%1035180157.47%2741195023147361356697
Total Saison régulière26014979011810315707298411307737065508113554561307242053537593743853511570288244529277854433212511420364337283981113681520371434536660515525.62%62312979.29%155030835660.20%4098738555.49%2851475959.91%730054655225165731751676
Séries éliminatoires
142116500000925339111100000051203110550000041338329217026214353123388727330127439640185153425501938.00%551670.91%052086560.12%37369453.75%20135856.15%557403480152276142
1642200000151412110000077021100000871415274200474012452353251163524968225.00%12375.00%16912953.49%6412551.20%356058.33%1057491285428
Total Séries éliminatoires2518700000107674013121000005827311266000004940936107197304143938273101132533630644756220177521582136.21%671971.64%158999459.26%43781953.36%23641856.46%663477571181330171

CLEVELAND Monsters 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
1Dominik Kahun2116163211284511414.04%550824.203362000001051.56%11.2600
2Ryan Poehling25141832161265679315.05%955822.343691301112158.82%11.1500
3Jake Evans21101828131052591119.01%539518.823581800013055.85%01.4200
4Pierre-Olivier Joseph254212512192044498.16%3364425.78268210110100%00.7800
5Evan Rodrigues21420241251647824.88%147222.51044800003066.67%01.0200

CLEVELAND Monsters 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
1Casey DeSmith2116220.9212.3212691544962100000
2Samuel Ersson42110.8623.7720700139400000
3Gilles Senn10100.8334.19430031801100
4Will Cranley10000.9551.36440012200000