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Monkeys
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Fred Joanis | Morale : 50 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFred Joanis
EntraîneurDean Evason
DivisionBourque
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure16
Limite contact 40 / 55
Espoirs38


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique159-78-11 (0.641%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)15-14
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
1Casey CizikasX100.009269868388809067836965835085800507203351,500,000$
2Derek GrantXX100.007466888285805172757568845076770507103311,500,000$
3Sean KuralyXX100.009367808489818069836672785078770507103131,775,500$
4Pius SuterXX100.007053988774808870676674816470740507002711,975,000$
5Matt NietoXX100.00705695867979906960677177508179050700311850,000$
6Janne Kuokkanen (R)XX100.007155968075796271507171765069720856902511,825,000$
7Philipp Kurashev (R)XXX100.00715695937683807159717070637071050690241925,000$
8Connor McMichael (R)XX100.00735696877576737161687371516869090690232925,000$
9Julien Gauthier (R)X100.009174968292765367506667695069690866802611,225,000$
10Filip Zadina (R)XX100.007455938777794067506767725071720506702431,825,000$
11Boris Katchouk (R)X100.00505050505050505050505050505050050490252758,333$
12Fredrik Olofsson (R)X100.00505050505050505050505050505050050490271750,000$
13Jack Studnicka (R)X100.00505050505050505050505050505050050490252762,500$
14Nils Aman (R)X100.00505050505050505050505050505050050490242925,000$
15J.J. Moser (R)X100.00785491907587967250766879506873050740232925,000$
16Sean Durzi (R)X100.007761858880858376508171735070750507402521,700,000$
17Matt BenningX100.0083639282848589685076607750767605074N02941,900,000$
18Jacob Middleton (R)X100.0085788177908591665067648650707505073N02832,450,000$
19Henri Jokiharju (R)X100.007959898981877067506865735072760507102422,500,000$
20Cale Fleury (R)X100.00926496848879406250646065507070050670251883,333$
21Ryan Merkley (R)X100.006355958873814367506866595066690916602311,225,000$
Rayé
1Madison BoweyX100.009166958486814062506064785070710916902800$
MOYENNE D’ÉQUIPE100.0074598479767666655666647151686905966
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
1Laurent Brossoit100.00756664917275717575727771730507103111,750,000$
2Chris Driedger100.0064595890656865636065646970050640292850,000$
Rayé
MOYENNE D’ÉQUIPE100.007063619169726869686971707205068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason85829984716299CAN591550,000$


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
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


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 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
Boris KatchoukMonkeys (IDS)LW251998-06-18 12:12:50Yes206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm758,333$758,333$0$0$No758,333$--------No--------
Cale FleuryMonkeys (IDS)D251998-11-19 15:04:50Yes205 Lbs6 ft1NoNoFree AgentNoNo12024-03-03Pro & Farm883,333$883,333$0$0$No------------------Lien
Casey CizikasMonkeys (IDS)C331991-02-27 09:26:19No201 Lbs5 ft11NoNoN/ANoNo5Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$-----NoNoNoNo-----Lien
Chris DriedgerMonkeys (IDS)G291994-05-18 07:13:17No208 Lbs6 ft4NoNoN/ANoNo2Pro & Farm850,000$850,000$0$0$No850,000$--------No--------
Connor McMichaelMonkeys (IDS)C/LW232001-01-15 15:26:21Yes180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Derek GrantMonkeys (IDS)C/LW331990-04-20 16:02:45No215 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$1,500,000$0$0$No------------------Lien
Filip ZadinaMonkeys (IDS)LW/RW241999-11-27 15:09:35Yes189 Lbs6 ft0NoNoFree AgentNoNo32024-03-03Pro & Farm1,825,000$1,825,000$0$0$No1,825,000$1,825,000$-------NoNo-------Lien
Fredrik OlofssonMonkeys (IDS)LW271996-05-27 12:19:10Yes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Henri JokiharjuMonkeys (IDS)D241999-06-17 14:47:01Yes195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,500,000$2,500,000$0$0$No2,500,000$--------No--------Lien
J.J. MoserMonkeys (IDS)D232000-06-06 04:20:50Yes173 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Jack StudnickaMonkeys (IDS)C251999-02-18 12:28:57Yes187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm762,500$762,500$0$0$No762,500$--------No--------
Jacob MiddletonMonkeys (IDS)D281996-01-02 05:04:03Yes219 Lbs6 ft3YesNoFree AgentNoNo32024-03-15Pro & Farm2,450,000$2,450,000$0$0$No2,450,000$2,450,000$-------YesYes-------
Janne KuokkanenMonkeys (IDS)LW/RW251998-05-25 14:47:44Yes193 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,825,000$1,825,000$0$0$No------------------Lien
Julien GauthierMonkeys (IDS)RW261997-10-15 15:17:21Yes227 Lbs6 ft4NoNoFree AgentNoNo12024-03-03Pro & Farm1,225,000$1,225,000$0$0$No------------------Lien
Laurent BrossoitMonkeys (IDS)G311993-03-23 17:36:37No215 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,750,000$1,750,000$0$0$No------------------
Madison BoweyMonkeys (IDS)D281995-04-22 07:12:12No198 Lbs6 ft2NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Matt BenningMonkeys (IDS)D291994-05-25 16:19:36No203 Lbs6 ft1YesNoFree AgentNoNo42024-03-15Pro & Farm1,900,000$1,900,000$0$0$No1,900,000$1,900,000$1,900,000$------YesYesYes------Lien
Matt NietoMonkeys (IDS)LW/RW311992-11-05 15:26:19No190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm850,000$850,000$0$0$No------------------Lien
Nils AmanMonkeys (IDS)C242000-02-07 12:35:33Yes179 Lbs6 ft2NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Philipp KurashevMonkeys (IDS)C/LW/RW241999-10-12 15:29:07Yes190 Lbs6 ft0NoNoFree AgentNoNo12024-03-03Pro & Farm925,000$925,000$0$0$No------------------Lien
Pius SuterMonkeys (IDS)C/LW271996-05-24 15:52:51No174 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,975,000$1,975,000$0$0$No------------------Lien
Ryan MerkleyMonkeys (IDS)D232000-08-14 15:31:58Yes186 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,225,000$1,225,000$0$0$No------------------
Sean DurziMonkeys (IDS)D251998-10-21 05:31:02Yes195 Lbs6 ft0NoNoFree AgentNoNo22024-03-03Pro & Farm1,700,000$1,700,000$0$0$No1,700,000$--------No--------
Sean KuralyMonkeys (IDS)C/LW311993-01-20 04:32:57No213 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,775,500$1,775,500$0$0$No1,775,500$1,775,500$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.79197 Lbs6 ft11.831,321,028$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,170,466$ 3,170,466$ 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$ 0 0$ 0$




Monkeys 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
1Micheal Ferland20515222838015725128616481318.70%126370318.075494148915161021862.36%122.0514
2Ryan Poehling20014715730412912426918289116.50%91381319.0741509178426910461.82%111.5935
3Erik Brannstrom131521832351291021901515429.59%196338425.8338661049002253275.00%01.3902
4Xavier Ouellet21140167207120682581846436.22%209421619.9824386251033125285.71%00.9813
5Ty Dellandrea131871051926711122115754615.93%52227117.3429396852123715263.35%51.6901

Monkeys 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
1Braden Holtby1401191340.9022.99828784413421021961810.87023
2Cory Schneider6052330.9093.1535468218620331046400.66715

Monkeys 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
202082669002325803232574134400111298158140413250012128216511714258097315530211325421093515116012341115302794897725130530919462.78%2439361.73%141048159165.87%1032162963.35%1166181664.21%1999124916336221320734
2021826214022205352652704131602200257120137413180002027814513313453589014251211521520163441110611661164172490836769150631018960.97%2658767.17%12978165858.99%926165455.99%1018165861.40%1951118016056571380749
2022826611021116013192824135401010290142148413170110131117713414060199815991213724521633646128612411114152557834767154531918357.37%2499362.65%61020159663.91%899152758.87%1129181462.24%2088132715326001314742
Total Saison régulière24614778097321658126339512375360642082859723112372420331283066616432716582792445023425630591161004933863405323740790725451708396496350652.54%70534351.35%352814466560.32%2222390656.89%3323553460.05%596637304775189540702246
Séries éliminatoires
202022139000001331294137600000848049630000049490261332173500035494819733283153291680218120382793645.57%482547.92%127341865.31%18026069.23%36351370.76%578369393148349206
2021191450000011880381091000007339349540000045414281182083260028434618162802572745715225241340654467.69%643151.56%120538353.52%21541451.93%23239958.15%437277402150302154
2022191450000012491331091000007140319540000053512281242153390130454817602422852321716234249326734460.27%582360.34%119837253.23%20541449.52%22240554.81%417260411158311152
Total Séries éliminatoires29151400000187193-615780000094102-814860000093912301873135000044825921036332368333310813452214281026260.78%995544.44%830150559.60%23247149.26%37266955.61%654408623227463245

Monkeys 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
1Micheal Ferland57464995-1594915725318.18%39105718.552224464100034251.04%41.8000
2Erik Brannstrom37196584225515218710.16%5396526.0914314540000151100.00%11.7401
3Ty Dellandrea302636622024404713619.12%2153417.811010202110120058.93%12.3200
4Valeri Nichushkin23282957139402512222.95%1145819.9598172100011071.77%22.4900
5Ryan Poehling322531562437422416015.63%1563119.7261824801133153.29%21.7700

Monkeys 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
1Braden Holtby2523110.9153.08150001779024712000
2Cory Schneider11000.9292.006000228180000