Connexion

Diabotins
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Louis-Philippe Parent | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralLouis-Philippe Parent
DivisionBeliveau
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure21
Limite contact 35 / 60
Espoirs37


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique138-235-44 (0.331%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)3-8
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
1Eric Robinson0XX100.00794491757567876344504886256262050700271975,000$
2Owen Tippett0XX100.008145937475658671394948642557580506502311,596,667$
3Nolan Foote (R)0X100.00757476767469726150404064584545050630211863,333$
4Victor Mete0X100.006341967864656064254238822563630506102411,200,000$
5Ben Harpur0X100.00849962659163585525403878256263050590271797,500$
6Christian Jaros0X100.00844693638257485825393871255656050570261881,834$
Rayé
1Riley Barber (R)0X100.00777385667368686950434367684545050650282800,000$
2Boris Katchouk (R)0X100.00885781727756716136474674255050050630242758,333$
3Thomas Novak (R)0X100.00574097676661577461504565254646050620252925,000$
4Cameron Hillis (R)0X100.00686283666253535569373759554444050560222910,000$
5Scott Perunovich (R)0X100.006140877862675176254538612545450506002422,175,000$
6Thomas Harley (R)0X100.007343937873637561254038632547470505802121,288,333$
7Jordan Harris (R)0X100.007543776764694160253940702544440505702221,137,500$
MOYENNE D’ÉQUIPE100.0074548671726364643843417033515105061
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
1Eric Comrie100.0071474765786474717871754646050670271700,000$
Rayé
MOYENNE D’ÉQUIPE100.007147476578647471787175464605067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Ben HarpurDiabotins (HEL)D271/11/1995No231 Lbs198 CMNoNoNo1Pro & Farm797,500$797,500$0$0$NoLien / Lien NHL
Boris KatchoukDiabotins (HEL)LW246/17/1998Yes206 Lbs188 CMNoNoNo2Pro & Farm758,333$758,333$0$0$No758,333$Lien
Cameron HillisDiabotins (HEL)C226/24/2000Yes171 Lbs178 CMNoNoNo2Pro & Farm910,000$910,000$0$0$No910,000$Lien
Christian JarosDiabotins (HEL)D264/1/1996No222 Lbs191 CMNoNoNo1Pro & Farm881,834$881,834$0$0$NoLien / Lien NHL
Eric ComrieDiabotins (HEL)G277/5/1995No175 Lbs185 CMNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Eric RobinsonDiabotins (HEL)LW/RW276/14/1995No200 Lbs188 CMNoNoNo1Pro & Farm975,000$975,000$0$0$NoLien / Lien NHL
Jordan HarrisDiabotins (HEL)D227/7/2000Yes179 Lbs180 CMNoNoNo2Pro & Farm1,137,500$1,137,500$0$0$No1,137,500$
Nolan FooteDiabotins (HEL)LW2111/29/2000Yes196 Lbs191 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Owen TippettDiabotins (HEL)LW/RW232/16/1999No207 Lbs185 CMNoNoNo1Pro & Farm1,596,667$1,596,667$0$0$NoLien
Riley BarberDiabotins (HEL)RW282/7/1994Yes203 Lbs183 CMNoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$
Scott PerunovichDiabotins (HEL)D248/18/1998Yes174 Lbs178 CMNoNoNo2Pro & Farm2,175,000$2,175,000$0$0$No2,175,000$Lien
Thomas HarleyDiabotins (HEL)D218/18/2001Yes190 Lbs191 CMNoNoNo2Pro & Farm1,288,333$1,288,333$0$0$No1,288,333$Lien
Thomas NovakDiabotins (HEL)C254/28/1997Yes179 Lbs185 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Victor MeteDiabotins (HEL)D246/7/1998No184 Lbs175 CMNoNoNo1Pro & Farm1,200,000$1,200,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1424.36194 Lbs185 CM1.501,072,036$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric Robinson40122
2Nolan FooteEric Robinson30122
3Nolan Foote20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben Harpur40122
230122
3Ben Harpur20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric Robinson60122
2Nolan FooteEric Robinson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben Harpur60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Eric Robinson60122
2Nolan Foote40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben Harpur60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Eric Robinson60122Ben Harpur60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Eric Robinson60122
2Nolan Foote40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben Harpur60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonBen Harpur
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonBen Harpur
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nolan Foote, , Eric RobinsonNolan Foote, Eric Robinson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Harpur, , Ben Harpur,
Tirs de pénalité
Eric Robinson, , Nolan Foote, ,
Gardien
#1 : Eric Comrie, #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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,500,849$ 1,016,433$ 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$




Diabotins Leaders statistiques (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
1Oscar Lindberg332176283459162188577303105316.71%102547216.484294136240861425161262.69121.68614
2Jesper Fast2361071943011485833336669015.51%215437718.551629458158133911242.03101.3829
3John Mitchell167801432231369622634047017.02%114349220.911424387477142912668.3981.28316
4Josh Jooris245901202101297022833858715.33%117311512.72134133361413359.9471.35510
5Filip Chytil1528499183-3564810951316.37%34272017.902134559720275255.5981.3506

Diabotins 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
1Mackenzie Skapski83542270.9152.2449866418621771139200.72722
2Niklas Treutle69313170.8962.794170021941863954020.74231
3Marek Mazanec82294750.8754.4248066235428351539520.66712
4Michael Hutchinson88285220.8843.8949828032327851459100.73719
5Christopher Gibson85155820.8135.7842786041222031242200.5004

Diabotins 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
201683452207324439191248412870211225185166421715052121881068211543976812070413813315911257782288084551219181092918282736222.71%3185582.70%141019163962.17%965156761.58%774120664.18%2065136316996581263654
2017842439073653042455942161405313169104654282502052135141-682304530834231121017818256282685183191231275771418812814415.66%3486780.75%141029172959.51%997159862.39%701112562.31%2049133717766711298660
201882244803421473374994115200222026117388419280120121220111634738241297222001451238302911659109402529221056130115222716122.51%54914573.59%251112178462.33%1211197461.35%880141562.19%1895123318526531204603
201984215204142282322-4042152002041169139304263202101113183-706128251179300978295112790967901907342824932109716673047625.00%54314074.22%14986182054.18%1045194153.84%598116451.37%1924124219246851230599
202084146503101319539-2204293201000172244-724253302101147295-14836319524843001029811642811939896963172565105878916323307723.33%39413266.50%8919165655.50%764142053.80%752141953.00%1950124518126741290646
Total Saison régulière41711023501717112714572165-708208671000109814814980-166209431350783136431185-54232014572342379967541440448481257743253965414928514094536531147150150233422.24%145635575.62%413652797345.80%3740842744.38%2883652844.16%8882566010164333762483040
Séries éliminatoires
2016954000001918153200000101004220000098110193251009361293113701064247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565
Total Séries éliminatoires1138000002346-23532000001314-1606000001032-2262336590071132361132105111134621566015829620.69%301356.67%212923953.97%13328446.83%6914049.29%2481703028115375

Diabotins Leaders statistiques (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
1Jesper Fast956117216242321.74%919421.59022111261087.5001.1300
2John Mitchell92686817211811.11%418620.74000302230180.4300.8600
3J.T. Miller923560148306.67%313615.12101400000060.0000.7400
4James Sheppard92240294296.90%312313.76000000001033.3300.6500
5Jamie McBain9033500850.00%619521.7200010000000.00%00.3100

Diabotins 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
1Mackenzie Skapski95310.9271.975480018247126000.00%0