Connexion

Manchots
GP: 25 | W: 11 | L: 13 | OTL: 1 | P: 23
GF: 77 | GA: 86 | PP%: 25.00% | PK%: 78.26%
DG: Raphael Belanger | Morale : 50 | Moyenne d’équipe : 56
Prochains matchs #404 vs Monsters
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Centre de jeu
Las Vegas
11-12-4, 26pts
6
FINAL
4 Manchots
11-13-1, 23pts
Team Stats
W3StreakW1
5-6-1Home Record5-6-0
6-6-3Away Record6-7-1
6-2-2Last 10 Games3-7-0
3.26Buts par match 3.08
3.96Buts contre par match 3.44
19.48%Pourcentage en avantage numérique25.00%
76.54%Pourcentage en désavantage numérique78.26%
Chiefs
7-16-2, 16pts
3
FINAL
5 Manchots
11-13-1, 23pts
Team Stats
L4StreakW1
3-8-0Home Record5-6-0
4-8-2Away Record6-7-1
4-6-0Last 10 Games3-7-0
2.84Buts par match 3.08
4.32Buts contre par match 3.44
21.33%Pourcentage en avantage numérique25.00%
74.19%Pourcentage en désavantage numérique78.26%
Monsters
17-7-0, 34pts
2022-12-06
Manchots
11-13-1, 23pts
Statistiques d’équipe
W1SéquenceW1
12-4-0Fiche domicile5-6-0
5-3-0Fiche visiteur6-7-1
7-3-010 derniers matchs3-7-0
3.92Buts par match 3.08
3.21Buts contre par match 3.08
30.36%Pourcentage en avantage numérique25.00%
78.31%Pourcentage en désavantage numérique78.26%
Manchots
11-13-1, 23pts
2022-12-09
Crunch
13-9-3, 29pts
Statistiques d’équipe
W1SéquenceL2
5-6-0Fiche domicile8-6-1
6-7-1Fiche visiteur5-3-2
3-7-010 derniers matchs5-4-1
3.08Buts par match 3.16
3.44Buts contre par match 3.16
25.00%Pourcentage en avantage numérique14.49%
78.26%Pourcentage en désavantage numérique74.39%
Crunch
13-9-3, 29pts
2022-12-10
Manchots
11-13-1, 23pts
Statistiques d’équipe
L2SéquenceW1
8-6-1Fiche domicile5-6-0
5-3-2Fiche visiteur6-7-1
5-4-110 derniers matchs3-7-0
3.16Buts par match 3.08
3.32Buts contre par match 3.08
14.49%Pourcentage en avantage numérique25.00%
74.39%Pourcentage en désavantage numérique78.26%
Meneurs d'équipe
Buts
Vitaly Abramov
9
Passes
Paul Carey
16
Points
Paul Carey
22
Plus/Moins
Paul Carey
3
Victoires
Trent Miner
10
Pourcentage d’arrêts
Daniel Vladar
0.923

Statistiques d’équipe
Buts pour
77
3.08 GFG
Tirs pour
880
35.20 Avg
Pourcentage en avantage numérique
25.0%
20 GF
Début de zone offensive
43.5%
Buts contre
86
3.44 GAA
Tirs contre
802
32.08 Avg
Pourcentage en désavantage numérique
78.3%%
15 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralRaphael Belanger
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,867
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs11


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 moyen
1Shane PintoX100.00694376777258466172745478244545050610202925,000$
2Mackenzie MacEachernXX100.00794490717250675925625571255858050600272560,000$
3Paul CareyX100.00747487797458595849575365524748050590332875,000$
4C.J. SuessX100.00756989666965666150566164584444050590272700,000$
5Simon Holmstrom (R)XX100.00817595637563646150615767544444050590202894,167$
6Vitaly Abramov (R)XX100.00686586676558586049585762564444050570232600,000$
7Ivan ChekhovichX100.00767495606758535854585166474444050560222776,667$
8Joel KellmanX100.00716977776946455468564761454646050550272800,000$
9Mikhail VorobyevX100.00534188697248674983535065244747050550241650,000$
10Tyler SteenbergenXXX100.00706693676663675369415861584444050550231650,000$
11Blade Jenkins (R)XX100.00787193637153545265465363504444050540213600,000$
12Jamie Drysdale (R)X100.00654193886480857525664867255757050670192925,000$
13Joel HanleyX100.007944967269586557254848752560600506303021,020,000$
14Calen Addison (R)X100.00714295816663727625505464254546050620213795,000$
15Ian MitchellX100.00614099766358805625504773254848050610222925,000$
16Dan RenoufX100.00777876627866714825374165395656050590271700,000$
17Steven SantiniX100.008076886376565850254240663854540505802621,000,000$
18Seth Barton (R)X100.00807493677441405025434164394444050550221925,000$
Rayé
1Pavel Gogolev (R)X100.00777289617247475050474762454444050520214834,167$
2Tyler Weiss (R)X100.00484262685650614450433545395050050470213650,000$
3Clayton Phillips (R)X100.00464477636444583525333046335454050480222575,000$
MOYENNE D’ÉQUIPE100.0070598770695661564451496439494905057
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 moyen
1Nico Daws (R)100.0063474783695669636562784646050610204850,833$
2Trent Miner (R)100.0044425370454445494545454444050480203560,000$
Rayé
1Hunter Shepard (R)100.0044415173454445494545454444050480252950,000$
2Tomas Vomacka (R)100.0044716464433839413639385450050470222525,000$
MOYENNE D’ÉQUIPE100.004950547351465051484852474605051
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
1Paul CareyManchots (Pit)LW256162238043489720536.19%542116.86033627000081042.86%3500001.0400000021
2Logan ShawPittsburghC/RW1981018-82094371295611.27%641721.990446470000421056.78%47200010.8600000120
3Mackenzie MacEachernManchots (Pit)LW/RW2571118-76030237117419.86%345318.1231413590001561142.55%4700000.7900000101
4Vitaly AbramovManchots (Pit)LW/RW259817-480192975183812.00%545818.344481362000000150.00%2200000.7400000111
5Ian MitchellManchots (Pit)D2541317-84016305613357.14%3250620.243692557000051100.00%000000.6700000100
6Calen AddisonManchots (Pit)D2531215-1410041276821274.41%3151920.803363756000050010.00%000000.5800000110
7C.J. SuessManchots (Pit)LW258715-580502472226611.11%646918.7620210440000240136.67%3000000.6400000200
8Simon HolmstromManchots (Pit)LW/RW2451015-730103027527329.62%339516.462468570001312047.54%6100000.7600011110
9Tyler SteenbergenManchots (Pit)C/LW/RW2556111120232147164110.64%239115.6700005000000076.47%1700000.5600000002
10Jamie DrysdaleManchots (Pit)D19281022018453810165.26%1847224.892132452000147200.00%000000.4200000011
11Joel KellmanManchots (Pit)C25369-41204855328379.38%244317.74033450000040051.87%53400000.4100000020
12Mikhail VorobyevManchots (Pit)C253691204364723366.38%035914.38000000000170055.58%38500000.5000000000
13Steven SantiniManchots (Pit)D25279-314037141931810.53%2138615.4400002000013100.00%000000.4700000010
14Dan RenoufManchots (Pit)D25549121548101771329.41%2440216.1010142000008110.00%000000.4500001001
15Shane PintoManchots (Pit)C10459-58018284614238.70%321421.450448210001150162.93%23200000.8400000100
16Joel HanleyManchots (Pit)D25178-79553362213204.55%3350520.20022865000153100.00%000000.3200000001
17Ivan ChekhovichManchots (Pit)LW25134-4602212296183.45%21977.89011140001200050.00%3200000.4100000000
18Seth BartonManchots (Pit)D2512316025362416.67%182088.350001100009000.00%000000.2900000000
19Blade JenkinsManchots (Pit)C/LW21011-320261512290.00%01416.73000000000110051.77%14100000.1400000000
20Pavel GogolevManchots (Pit)LW7000000003110.00%0233.3600013000000054.55%1100000.00%00000000
Statistiques d’équipe totales ou en moyenne45077142219-70170205605268802525848.75%214738716.42203656169640000646611654.43%201900010.59000129118
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
1Trent MinerManchots (Pit)24101210.8923.51128321756930100.00%0241311
2Daniel VladarPittsburgh42200.9233.0123900121550000.00%0413001
3Nico DawsManchots (Pit)11000.8753.0060003240000.00%010000
4Hunter ShepardManchots (Pit)50100.9063.08156008850000.00%0024000
Statistiques d’équipe totales ou en moyenne34131510.8983.381739219895701002938312


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 moyen 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
Blade JenkinsManchots (Pit)C/LW212000-08-11Yes194 Lbs6 ft1YesNoNo3Pro & Farm600,000$410,526$0$0$No600,000$600,000$Lien
C.J. Suess (contrat à 1 volet)Manchots (Pit)LW271994-03-16No190 Lbs5 ft11NoNoYes2Pro & Farm700,000$478,947$0$0$No700,000$Lien
Calen AddisonManchots (Pit)D212000-04-10Yes180 Lbs5 ft11NoNoNo3Pro & Farm795,000$543,947$0$0$No795,000$795,000$Lien
Clayton PhillipsManchots (Pit)D221999-09-09Yes182 Lbs5 ft10NoNoNo2Pro & Farm575,000$393,421$0$0$No575,000$Lien
Dan Renouf (contrat à 1 volet)Manchots (Pit)D271994-06-01No198 Lbs6 ft3NoNoYes1Pro & Farm700,000$478,947$0$0$NoLien
Hunter ShepardManchots (Pit)G251995-11-07Yes201 Lbs6 ft0NoNoYes2Pro & Farm950,000$650,000$0$0$No950,000$Lien
Ian MitchellManchots (Pit)D221999-01-18No173 Lbs5 ft11NoNoNo2Pro & Farm925,000$632,895$0$0$No925,000$Lien
Ivan ChekhovichManchots (Pit)LW221999-01-04No187 Lbs5 ft11NoNoNo2Pro & Farm776,667$531,404$0$0$No776,667$Lien
Jamie DrysdaleManchots (Pit)D192002-04-08Yes175 Lbs5 ft11NoNoNo2Pro & Farm925,000$632,895$0$0$No925,000$Lien
Joel Hanley (contrat à 1 volet)Manchots (Pit)D301991-06-08No190 Lbs5 ft11NoNoYes2Pro & Farm1,020,000$697,895$120,000$82,105$No1,020,000$Lien
Joel Kellman (contrat à 1 volet)Manchots (Pit)C271994-05-25No192 Lbs5 ft11NoNoYes2Pro & Farm800,000$547,368$0$0$No800,000$Lien
Mackenzie MacEachern (contrat à 1 volet)Manchots (Pit)LW/RW271994-03-08No190 Lbs6 ft2NoNoYes2Pro & Farm560,000$383,158$0$0$No560,000$Lien
Mikhail VorobyevManchots (Pit)C241997-01-04No194 Lbs6 ft2NoNoYes1Pro & Farm650,000$444,737$0$0$NoLien
Nico DawsManchots (Pit)G202000-12-22Yes203 Lbs6 ft4NoNoNo4Pro & Farm850,833$582,149$0$0$No850,833$850,833$850,833$Lien
Paul Carey (contrat à 1 volet)Manchots (Pit)LW331988-09-24No200 Lbs6 ft1NoNoYes2Pro & Farm875,000$598,684$0$0$No875,000$Lien
Pavel GogolevManchots (Pit)LW212000-02-19Yes198 Lbs6 ft1NoNoNo4Pro & Farm834,167$570,746$0$0$No834,167$834,167$834,167$Lien
Seth BartonManchots (Pit)D221999-08-18Yes196 Lbs6 ft3YesNoNo1Pro & Farm925,000$632,895$0$0$NoLien
Shane PintoManchots (Pit)C202000-11-12No192 Lbs6 ft2NoNoNo2Pro & Farm925,000$632,895$0$0$No925,000$Lien
Simon HolmstromManchots (Pit)LW/RW202001-05-24Yes202 Lbs6 ft2NoNoNo2Pro & Farm894,167$611,798$0$0$No894,167$Lien
Steven Santini (contrat à 1 volet)Manchots (Pit)D261995-03-07No205 Lbs6 ft2NoNoYes2Pro & Farm1,000,000$684,211$100,000$68,421$No1,000,000$Lien
Tomas VomackaManchots (Pit)G221999-05-02Yes165 Lbs6 ft3NoNoNo2Pro & Farm525,000$359,211$0$0$No525,000$Lien
Trent MinerManchots (Pit)G202001-02-05Yes185 Lbs6 ft1NoNoNo3Pro & Farm560,000$383,158$0$0$No560,000$560,000$Lien
Tyler SteenbergenManchots (Pit)C/LW/RW231998-01-07No188 Lbs5 ft10NoNoNo1Pro & Farm650,000$444,737$0$0$NoLien
Tyler WeissManchots (Pit)LW212000-01-03Yes151 Lbs5 ft11NoNoNo3Pro & Farm650,000$444,737$0$0$No650,000$650,000$Lien
Vitaly AbramovManchots (Pit)LW/RW231998-05-08Yes181 Lbs5 ft10YesNoNo2Pro & Farm600,000$410,526$0$0$No600,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.40188 Lbs6 ft12.16770,633$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernShane PintoSimon Holmstrom40122
2C.J. SuessJoel KellmanVitaly Abramov30122
3Paul CareyMikhail VorobyevTyler Steenbergen20122
4Ivan ChekhovichBlade JenkinsShane Pinto10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie DrysdaleJoel Hanley40122
2Calen AddisonIan Mitchell30122
3Dan RenoufSteven Santini20122
4Seth BartonJamie Drysdale10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernShane PintoSimon Holmstrom60122
2C.J. SuessJoel KellmanVitaly Abramov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie DrysdaleJoel Hanley60122
2Calen AddisonIan Mitchell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Shane PintoMackenzie MacEachern60122
2Simon HolmstromC.J. Suess40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie DrysdaleJoel Hanley60122
2Calen AddisonIan Mitchell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Shane Pinto60122Jamie DrysdaleJoel Hanley60122
2Mackenzie MacEachern40122Calen AddisonIan Mitchell40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane PintoMackenzie MacEachern60122
2Simon HolmstromC.J. Suess40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie DrysdaleJoel Hanley60122
2Calen AddisonIan Mitchell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernShane PintoSimon HolmstromJamie DrysdaleJoel Hanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernShane PintoSimon HolmstromJamie DrysdaleJoel Hanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Carey, Ivan Chekhovich, Mikhail VorobyevPaul Carey, Ivan ChekhovichMikhail Vorobyev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dan Renouf, Steven Santini, Seth BartonDan RenoufSteven Santini, Seth Barton
Tirs de pénalité
Shane Pinto, Mackenzie MacEachern, Simon Holmstrom, C.J. Suess, Paul Carey
Gardien
#1 : Nico Daws, #2 : Trent Miner


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
1Baby Hawks1010000046-2000000000001010000046-200.00047110025272413029926331353991635100.00%5340.00%049787856.61%35671050.14%24643157.08%624428544182335173
2Bears1010000034-1000000000001010000034-100.000369002527241432992633135316620700.00%30100.00%049787856.61%35671050.14%24643157.08%624428544182335173
3Bruins11000000422110000004220000000000021.00047110025272413829926331352548243266.67%4175.00%049787856.61%35671050.14%24643157.08%624428544182335173
4Caroline1010000023-11010000023-10000000000000.0002350025272412729926331353710618200.00%3166.67%049787856.61%35671050.14%24643157.08%624428544182335173
5Chiefs11000000532110000005320000000000021.00058130025272413529926331352464183133.33%2150.00%049787856.61%35671050.14%24643157.08%624428544182335173
6Comets1000010012-1000000000001000010012-110.500112002527241272992633135277817200.00%40100.00%049787856.61%35671050.14%24643157.08%624428544182335173
7Crunch11000000321000000000001100000032121.000369002527241362992633135291210213266.67%5180.00%049787856.61%35671050.14%24643157.08%624428544182335173
8Heat211000005501010000012-11100000043120.50051015002527241652992633135731914504250.00%7185.71%049787856.61%35671050.14%24643157.08%624428544182335173
9Jayhawks1010000025-31010000025-30000000000000.00024600252724135299263313535114244250.00%2150.00%049787856.61%35671050.14%24643157.08%624428544182335173
10Las Vegas1010000046-21010000046-20000000000000.00048120025272413029926331353510621200.00%3166.67%049787856.61%35671050.14%24643157.08%624428544182335173
11Marlies31200000613-720200000312-91100000031220.3336111700252724112029926331358018387710220.00%6183.33%049787856.61%35671050.14%24643157.08%624428544182335173
12Minnesota1010000045-1000000000001010000045-100.00047110025272414329926331354210218200.00%110.00%049787856.61%35671050.14%24643157.08%624428544182335173
13Monarchs11000000835110000008350000000000021.000814220025272418829926331353180382150.00%000.00%049787856.61%35671050.14%24643157.08%624428544182335173
14Monsters1010000014-3000000000001010000014-300.0001230025272412329926331353813014400.00%000.00%049787856.61%35671050.14%24643157.08%624428544182335173
15Oceanics11000000844000000000001100000084421.0008152300252724138299263313529104207342.86%10100.00%049787856.61%35671050.14%24643157.08%624428544182335173
16Oil Kings1010000035-2000000000001010000035-200.000369002527241362992633135489822200.00%4175.00%049787856.61%35671050.14%24643157.08%624428544182335173
17Phantoms10001000431000000000001000100043121.0004812002527241362992633135297896116.67%4175.00%049787856.61%35671050.14%24643157.08%624428544182335173
18Rocket2110000045-1000000000002110000045-120.5004812002527241422992633135532314437228.57%7185.71%049787856.61%35671050.14%24643157.08%624428544182335173
19Seattle2110000035-2110000001011010000025-320.50036901252724168299263313571108496116.67%40100.00%049787856.61%35671050.14%24643157.08%624428544182335173
20Thunder11000000312110000003120000000000021.00035800252724120299263313526128223133.33%40100.00%049787856.61%35671050.14%24643157.08%624428544182335173
Total251013011007786-91156000003337-41457011004449-5230.460771422190125272418802992633135802214172560802025.00%691578.26%049787856.61%35671050.14%24643157.08%624428544182335173
_Since Last GM Reset251013011007786-91156000003337-41457011004449-5230.460771422190125272418802992633135802214172560802025.00%691578.26%049787856.61%35671050.14%24643157.08%624428544182335173
_Vs Conference1054010003734353200000181805220100019163120.600376810500252724140629926331352897872224421023.81%22386.36%049787856.61%35671050.14%24643157.08%624428544182335173

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2523W17714221988080221417256001
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25101311007786
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115600003337
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
145711004449
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
802025.00%691578.26%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
29926331352527241
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
49787856.61%35671050.14%24643157.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
624428544182335173


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
7 - 2022-10-1311Jayhawks5Manchots2BLSommaire du match
9 - 2022-10-1531Thunder1Manchots3BWSommaire du match
11 - 2022-10-1742Manchots2Rocket4ALSommaire du match
14 - 2022-10-2062Monarchs3Manchots8BWSommaire du match
16 - 2022-10-2282Manchots1Monsters4ALSommaire du match
18 - 2022-10-2494Manchots3Oil Kings5ALSommaire du match
19 - 2022-10-25104Manchots4Heat3AWSommaire du match
22 - 2022-10-28125Manchots1Comets2ALXSommaire du match
23 - 2022-10-29137Manchots2Seattle5ALSommaire du match
26 - 2022-11-01147Bruins2Manchots4BWSommaire du match
27 - 2022-11-02160Manchots3Crunch2AWSommaire du match
30 - 2022-11-05184Seattle0Manchots1BWSommaire du match
34 - 2022-11-09208Manchots3Bears4ALSommaire du match
36 - 2022-11-11221Manchots3Marlies1AWSommaire du match
37 - 2022-11-12229Manchots2Rocket1AWSommaire du match
40 - 2022-11-15251Marlies5Manchots2BLSommaire du match
42 - 2022-11-17268Manchots4Minnesota5ALSommaire du match
44 - 2022-11-19276Manchots8Oceanics4AWSommaire du match
45 - 2022-11-20290Manchots4Baby Hawks6ALSommaire du match
48 - 2022-11-23306Heat2Manchots1BLSommaire du match
50 - 2022-11-25324Manchots4Phantoms3AWXSommaire du match
51 - 2022-11-26335Marlies7Manchots1BLSommaire du match
54 - 2022-11-29352Caroline3Manchots2BLSommaire du match
56 - 2022-12-01368Las Vegas6Manchots4BLSommaire du match
58 - 2022-12-03384Chiefs3Manchots5BWSommaire du match
61 - 2022-12-06404Monsters-Manchots-
64 - 2022-12-09426Manchots-Crunch-
65 - 2022-12-10437Crunch-Manchots-
67 - 2022-12-12449Stars-Manchots-
70 - 2022-12-15474Manchots-Cabaret Lady Mary Ann-
73 - 2022-12-18498Manchots-Caroline-
75 - 2022-12-20511Wolf Pack-Manchots-
77 - 2022-12-22526Caroline-Manchots-
82 - 2022-12-27550Manchots-Sound Tigers-
83 - 2022-12-28560Cougars-Manchots-
85 - 2022-12-30576Spiders-Manchots-
88 - 2023-01-02595Manchots-Bruins-
91 - 2023-01-05620Manchots-Las Vegas-
94 - 2023-01-08640Manchots-Jayhawks-
96 - 2023-01-10652Comets-Manchots-
99 - 2023-01-13674Oceanics-Manchots-
100 - 2023-01-14682Manchots-Caroline-
102 - 2023-01-16700Admirals-Manchots-
104 - 2023-01-18712Manchots-Senators-
106 - 2023-01-20730Senators-Manchots-
108 - 2023-01-22746Manchots-Spiders-
110 - 2023-01-24756Cabaret Lady Mary Ann-Manchots-
112 - 2023-01-26773Manchots-Bears-
114 - 2023-01-28793Sharks-Manchots-
124 - 2023-02-07813Monsters-Manchots-
127 - 2023-02-10831Manchots-Admirals-
128 - 2023-02-11845Manchots-Monarchs-
131 - 2023-02-14863Manchots-Sharks-
134 - 2023-02-17879Manchots-Sound Tigers-
135 - 2023-02-18886Spiders-Manchots-
137 - 2023-02-20906Sound Tigers-Manchots-
140 - 2023-02-23922Oil Kings-Manchots-
142 - 2023-02-25943Manchots-Chiefs-
143 - 2023-02-26951Thunder-Manchots-
145 - 2023-02-28963Manchots-Chill-
147 - 2023-03-02977Manchots-Thunder-
149 - 2023-03-04993Manchots-Cabaret Lady Mary Ann-
152 - 2023-03-071013Monsters-Manchots-
154 - 2023-03-091027Sound Tigers-Manchots-
156 - 2023-03-111039Phantoms-Manchots-
157 - 2023-03-121054Wolf Pack-Manchots-
159 - 2023-03-141064Rocket-Manchots-
161 - 2023-03-161082Manchots-Wolf Pack-
163 - 2023-03-181103Manchots-Wolf Pack-
165 - 2023-03-201115Senators-Manchots-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
167 - 2023-03-221133Manchots-Monsters-
168 - 2023-03-231143Manchots-Stars-
170 - 2023-03-251162Bears-Manchots-
173 - 2023-03-281180Manchots-Cougars-
175 - 2023-03-301192Chill-Manchots-
177 - 2023-04-011205Bruins-Manchots-
178 - 2023-04-021221Phantoms-Manchots-
180 - 2023-04-041233Manchots-Spiders-
182 - 2023-04-061244Minnesota-Manchots-
184 - 2023-04-081266Manchots-Cougars-
187 - 2023-04-111286Baby Hawks-Manchots-
189 - 2023-04-131303Manchots-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité17501250
Prix des billets5020
Assistance11,7278,805
Assistance PCT60.92%64.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 1867 - 62.22% 69,314$762,450$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
381,938$ 1,361,084$ 1,361,084$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,164$ 381,938$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,079,409$ 130 7,164$ 931,320$




Manchots 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

Manchots 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

Manchots 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

Manchots 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

Manchots 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