Connexion

Monkeys
GP: 4 | W: 0 | L: 4
GF: 7 | GA: 30 | PP%: 41.67% | PK%: 26.67%
DG: Fred Joanis | Morale : 72 | Moyenne d’équipe : 67
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Centre de jeu
Monkeys
0-4-0, 0pts
2
FINAL
5 Dynamos
4-0-0, 8pts
Team Stats
L4SéquenceW4
0-2-0Fiche domicile2-0-0
0-2-0Fiche domicile2-0-0
0-4-0Derniers 10 matchs4-0-0
1.75Buts par match 7.50
7.50Buts contre par match 1.75
41.67%Pourcentage en avantage numérique73.33%
26.67%Pourcentage en désavantage numérique58.33%
Monkeys
0-4-0, 0pts
1
FINAL
6 Dynamos
4-0-0, 8pts
Team Stats
L4SéquenceW4
0-2-0Fiche domicile2-0-0
0-2-0Fiche domicile2-0-0
0-4-0Derniers 10 matchs4-0-0
1.75Buts par match 7.50
7.50Buts contre par match 1.75
41.67%Pourcentage en avantage numérique73.33%
26.67%Pourcentage en désavantage numérique58.33%
Meneurs d'équipe
Buts
Janne Kuokkanen
2
Passes
Matt Nieto
2
Points
Matt Nieto
3
Plus/Moins
Boris Katchouk
0

Statistiques d’équipe
Buts pour
7
1.75 GFG
Tirs pour
120
30.00 Avg
Pourcentage en avantage numérique
41.7%
5 GF
Début de zone offensive
31.8%
Buts contre
30
7.50 GAA
Tirs contre
182
45.50 Avg
Pourcentage en désavantage numérique
26.7%%
11 GA
Début de la zone défensive
31.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure20
Limite contact 37 / 55
Espoirs38


Historique d'équipe

Saison actuelle0-4
Historique208-110-13 (0.628%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)15-18
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
1Derek GrantXX100.007466888285805172757568845076770707103411,500,000$
2Pius SuterXX100.007053988774808870676674816470740757002811,975,000$
3Hudson Fasching (R)X100.00776195888178547350697676536971085700281750,000$
4Matt NietoXX100.00705695867979906960677177508179076700311850,000$
5Janne Kuokkanen (R)XX100.007155968075796271507171765069720786902611,825,000$
6Connor McMichael (R)XX100.00735696877576737161687371516869076690232925,000$
7Julien Gauthier (R)X100.009174968292765367506667695069690776802611,225,000$
8Boris Katchouk (R)X100.00866290848578646850696673506970076680262758,333$
9Filip Zadina (R)XX100.007455938777794067506767725071720746702431,825,000$
10Nils Aman (R)X100.00725594907578756658686476506870072670242925,000$
11Fredrik Olofsson (R)X100.00505050505050505050505050505050038490281750,000$
12Jack Studnicka (R)X100.00505050505050505050505050505050021490252762,500$
13Henri Jokiharju (R)X100.007959898981877067506865735072760677102522,500,000$
14Cale Fleury (R)X100.00926496848879406250646065507070070670251883,333$
15Ryan Merkley (R)X100.006355958873814367506866595066690756602311,225,000$
Rayé
1Philipp Kurashev (R)XXX100.00715695937683807159717070637071070690241925,000$
MOYENNE D’ÉQUIPE100.0073588982767661665566667052686906966
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 Brossoit100.00756664917275717575727771730787103111,750,000$
Rayé
MOYENNE D’ÉQUIPE100.007566649172757175757277717307871
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason76898089737099CAN591550,000$


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
1Matt NietoMonkeys (IDS)LW/RW4123-40014249184.17%88220.6712349000000057.14%752000.7300000000
2Janne KuokkanenMonkeys (IDS)LW/RW4202-35515141714.29%1358.8600000000000085.71%732001.1300100000
3Connor McMichaelMonkeys (IDS)C/LW4022-3201711170%1358.9500000000000060.98%8211001.1200000000
4Julien GauthierMonkeys (IDS)RW4000-355117320%1348.720000000000000%31100000001000
5Ryan MerkleyMonkeys (IDS)D4000-3001010730%96315.990000100000000%04600000000000
6Boris KatchoukMonkeys (IDS)LW4000000000000%010.320000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne24347-1612105176621374.55%2025410.58123411000000060.61%991412000.5500101000
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)LW261998-06-18 12:12:50Yes206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm758,333$108,333$0$0$No758,333$--------No--------
Cale FleuryMonkeys (IDS)D251998-11-19 15:04:50Yes205 Lbs6 ft1NoNoFree AgentNoNo12024-03-03Pro & Farm883,333$126,190$0$0$No------------------Lien
Connor McMichaelMonkeys (IDS)C/LW232001-01-15 15:26:21Yes180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$132,143$0$0$No925,000$--------No--------
Derek GrantMonkeys (IDS)C/LW341990-04-20 16:02:45No215 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$214,286$0$0$No------------------Lien
Filip ZadinaMonkeys (IDS)LW/RW241999-11-27 15:09:35Yes189 Lbs6 ft0NoNoFree AgentNoNo32024-03-03Pro & Farm1,825,000$260,714$0$0$No1,825,000$1,825,000$-------NoNo-------Lien
Fredrik OlofssonMonkeys (IDS)LW281996-05-27 12:19:10Yes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$107,143$0$0$No------------------
Henri JokiharjuMonkeys (IDS)D251999-06-17 14:47:01Yes195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,500,000$357,143$0$0$No2,500,000$--------No--------Lien
Hudson FaschingMonkeys (IDS)RW281995-07-28 10:56:00Yes209 Lbs6 ft3NoNoTrade2024-06-24NoNo1Pro & Farm750,000$107,143$0$0$No------------------
Jack StudnickaMonkeys (IDS)C251999-02-18 12:28:57Yes187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm762,500$108,929$0$0$No762,500$--------No--------
Janne KuokkanenMonkeys (IDS)LW/RW261998-05-25 14:47:44Yes193 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,825,000$260,714$0$0$No------------------Lien
Julien GauthierMonkeys (IDS)RW261997-10-15 15:17:21Yes227 Lbs6 ft4NoNoFree AgentNoNo12024-03-03Pro & Farm1,225,000$175,000$0$0$No------------------Lien
Laurent BrossoitMonkeys (IDS)G311993-03-23 17:36:37No215 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,750,000$250,000$0$0$No------------------
Matt NietoMonkeys (IDS)LW/RW311992-11-05 15:26:19No190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm850,000$121,429$0$0$No------------------Lien
Nils AmanMonkeys (IDS)C242000-02-07 12:35:33Yes179 Lbs6 ft2NoNoN/ANoNo2Pro & Farm925,000$132,143$0$0$No925,000$--------No--------
Philipp KurashevMonkeys (IDS)C/LW/RW241999-10-12 15:29:07Yes190 Lbs6 ft0NoNoFree AgentNoNo12024-03-03Pro & Farm925,000$132,143$0$0$No------------------Lien
Pius SuterMonkeys (IDS)C/LW281996-05-24 15:52:51No174 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,975,000$282,143$0$0$No------------------Lien
Ryan MerkleyMonkeys (IDS)D232000-08-14 15:31:58Yes186 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,225,000$175,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1726.53196 Lbs6 ft11.411,256,127$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt Nieto40122
230122
3Janne KuokkanenConnor McMichaelJulien Gauthier20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Ryan Merkley30122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt Nieto60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ryan Merkley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Matt Nieto40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ryan Merkley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Ryan Merkley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Matt Nieto40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ryan Merkley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt Nieto
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt Nieto
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Boris Katchouk, Connor McMichael, Janne KuokkanenBoris Katchouk, Connor McMichaelJanne Kuokkanen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ryan Merkley, Ryan Merkley,
Tirs de pénalité
, , , Matt Nieto,
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
1Dynamos40400000730-2320200000419-1520200000311-800.00071219001510120345036018281404212541.67%151126.67%0437855.13%357646.05%419145.05%7143107356026
Total40400000730-2320200000419-1520200000311-800.00071219001510120345036018281404212541.67%151126.67%0437855.13%357646.05%419145.05%7143107356026
_Since Last GM Reset40400000730-2320200000419-1520200000311-800.00071219001510120345036018281404212541.67%151126.67%0437855.13%357646.05%419145.05%7143107356026
_Vs Conference40400000730-2320200000419-1520200000311-800.00071219001510120345036018281404212541.67%151126.67%0437855.13%357646.05%419145.05%7143107356026
_Vs Division40000000730-2320000000419-1520000000311-800.00071219001510120345036018281404212541.67%151126.67%0437855.13%357646.05%419145.05%7143107356026

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L47121912018281404200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000730
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000419
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000311
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12541.67%151126.67%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
34503601510
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
437855.13%357646.05%419145.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
7143107356026


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
12Dynamos11Monkeys 1BLSommaire du match
310Dynamos8Monkeys 3BLSommaire du match
518Monkeys 2Dynamos5ALSommaire du match
726Monkeys 1Dynamos6ALSommaire du match



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,135,416$ 2,135,416$ 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$ 2 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
1Adam Gaudette1531782153931367241197101517.54%71314020.5351101152931011023570.52%222.5001
2Micheal Ferland20515222838015725128616481318.70%126370318.075494148915161021862.36%122.0514
3Ryan Poehling20014715730412912426918289116.50%91381319.0741509178426910461.82%111.5935
4Ty Dellandrea16613014727711013528620675317.26%71298617.99405797722241321266.96%101.8602
5Erik Brannstrom131521832351291021901515429.59%196338425.8338661049002253275.00%01.3902

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
2Cayden Primeau6054400.9152.313564441371606920501.0006
3Cory 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
20238265110132056026829241336010102821441384132500310278124154139560944150404972362243375012161305122692321744449163231922369.91%2127564.62%61110172864.24%819132461.86%1141175065.20%2122133014886021320753
Total Saison régulière328194110010743217917154641641034806430110281029216491620431310779051724262179367758563354383878421132844497449042735410436335122335277127468153.45%94144752.50%453730623059.87%2814498956.40%4410742659.39%795549806391253453972958
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
20234400000030171322000000151052200000015788305585004151101715654610104341496181161.11%7357.14%0507864.10%243863.16%669569.47%1046368286739
Total Séries éliminatoires33151800000194223-29177100000098121-2316880000096102-6301943255190045876021156366418369312634262614701146758.77%1146642.11%834458359.01%26754748.81%41376054.34%725451731262524271

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 Dellandrea343040702328455014820.27%2159417.491212242410121059.29%22.3500
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