Connexion

Manchots
GP: 71 | W: 38 | L: 26 | OTL: 7 | P: 83
GF: 158 | GA: 127 | PP%: 14.23% | PK%: 83.49%
DG: Raphael Belanger | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #1154 vs Monsters
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Centre de jeu
Manchots
38-26-7, 83pts
3
FINAL
1 Monsters
49-17-6, 104pts
Team Stats
W2SéquenceSOL1
18-15-3Fiche domicile23-9-3
20-11-4Fiche domicile26-8-3
6-3-1Derniers 10 matchs6-3-1
2.23Buts par match 2.58
1.79Buts contre par match 1.65
14.23%Pourcentage en avantage numérique15.15%
83.49%Pourcentage en désavantage numérique85.08%
Caroline
46-16-11, 103pts
2
FINAL
3 Manchots
38-26-7, 83pts
Team Stats
SOL1SéquenceW2
25-5-7Fiche domicile18-15-3
21-11-4Fiche domicile20-11-4
6-1-3Derniers 10 matchs6-3-1
2.44Buts par match 2.23
1.88Buts contre par match 1.79
15.18%Pourcentage en avantage numérique14.23%
88.76%Pourcentage en désavantage numérique83.49%
Monsters
41-26-5, 87pts
2024-03-28
Manchots
38-26-7, 83pts
Statistiques d’équipe
W2SéquenceW2
19-15-2Fiche domicile18-15-3
22-11-3Fiche visiteur20-11-4
5-4-110 derniers matchs6-3-1
2.26Buts par match 2.23
1.89Buts contre par match 2.23
17.35%Pourcentage en avantage numérique14.23%
84.30%Pourcentage en désavantage numérique83.49%
Manchots
38-26-7, 83pts
2024-03-30
Monsters
41-26-5, 87pts
Statistiques d’équipe
W2SéquenceW2
18-15-3Fiche domicile19-15-2
20-11-4Fiche visiteur22-11-3
6-3-110 derniers matchs5-4-1
2.23Buts par match 2.26
1.79Buts contre par match 2.26
14.23%Pourcentage en avantage numérique17.35%
83.49%Pourcentage en désavantage numérique84.30%
Manchots
38-26-7, 83pts
2024-04-01
Wolf Pack
38-28-6, 82pts
Statistiques d’équipe
W2SéquenceW1
18-15-3Fiche domicile19-14-2
20-11-4Fiche visiteur19-14-4
6-3-110 derniers matchs6-2-2
2.23Buts par match 2.56
1.79Buts contre par match 2.56
14.23%Pourcentage en avantage numérique16.53%
83.49%Pourcentage en désavantage numérique86.47%
Meneurs d'équipe
Buts
Simon Holmstrom
22
Passes
Ian Mitchell
37
Points
Ian Mitchell
47
Plus/Moins
Ian Mitchell
19
Victoires
Nico Daws
35
Pourcentage d’arrêts
Nico Daws
0.918

Statistiques d’équipe
Buts pour
158
2.23 GFG
Tirs pour
1340
18.87 Avg
Pourcentage en avantage numérique
14.2%
34 GF
Début de zone offensive
39.8%
Buts contre
127
1.79 GAA
Tirs contre
1340
18.87 Avg
Pourcentage en désavantage numérique
83.5%%
35 GA
Début de la zone défensive
38.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,940
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 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
1Juuso Parssinen (R)X100.00725178718178687169726567695250050680213850,833$
2Simon Holmstrom (R)X100.00634584728077676841646366685250050650211894,167$
3C.J. SuessX100.00574865676269686146585659615950050600281700,000$
4Mackenzie MacEachernXX100.00604668676367666142605661615952050600281560,000$
5Hendrix Lapierre (R)X100.00624065686260616253605960635050050600203863,333$
6Pierrick Dube (R)X100.0059406669576161634260596064505005060N0211620,000$
7Ben Tardif (R)XXX100.0062406966626059574055546059515005058N0221620,000$
8Vitaly Abramov (R)XX100.00646584666553535648535261544444050570241600,000$
9Riley Bezeau (R)XXX100.0060635863626060594054545459505005056N0203635,000$
10Joel HanleyX100.006654817374817968406361696879690506903111,020,000$
11Jamie DrysdaleX100.00584379767786697140666266695952050680201925,000$
12Ian MitchellX100.00564478747279686840666266685752050660231925,000$
13Vincent Sevigny (R)X100.0060406768626161614058576262505005060N0211625,000$
14Seth Barton (R)X100.00614566656661585640515261585150050590231925,000$
15Tyson Feist (R)X100.0063406862675957544053536156505005058N0211620,000$
Rayé
1Ivan ChekhovichX100.00717493596753495553534765454444050560231776,667$
2Mikhail VorobyevX100.00504186687244624681494664234747050550251625,000$
3Tyler SteenbergenXXX100.00666691666658625068385360564444050550242650,000$
4Pavel Gogolev (R)X100.00514553575354525240505150525050050520223834,167$
5Tyler Weiss (R)X100.00454261675646564149403244375050050470222650,000$
6Clayton Phillips (R)X100.00434475626440533325302845325454050470231575,000$
MOYENNE D’ÉQUIPE100.0059487367666261584755536056525005059
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)100.0073666875727375727371655150050660213800,000$
2Hunter Shepard (R)100.0072636467696971697068585550050630261950,000$
Rayé
1Sebastian Cossa (R)100.0058575769615757535959535050050540193894,167$
2Trent Miner (R)100.0059545465585554525557505050050520212560,000$
3Tomas Vomacka (R)100.0042706164413638393437365446050430231525,000$
MOYENNE D’ÉQUIPE100.006162616860585957585852524905056
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
1Ian MitchellManchots (Pit)D7110374719220749273267113.70%59153421.616814491970000160200%100100.6100000464
2Simon HolmstromManchots (Pit)RW6922204214100571381864613111.83%13164723.884592520001151814151.74%31700010.51314000934
3Jamie DrysdaleManchots (Pit)D71102636-2360809587206111.49%57162622.91651162221101216921100.00%100000.4412000134
4Hendrix LapierreManchots (Pit)C71132134330087104115288111.30%8130918.4521214161970000441150.80%124800000.5246000341
5Juuso ParssinenManchots (Pit)C44131831142407611813642709.56%13105123.890442712700021246061.99%103400000.5937000460
6Joel HanleyManchots (Pit)D618223017151258056214914.29%44147324.16358291870110131200%000000.4100100122
7Pierrick DubeManchots (Pit)RW7117112892807094134349312.69%8132718.69156231890000272250.49%10300010.4205000512
8Wyatt JohnstonPittsburghC27151025171402980103176014.56%857521.3141521670003854161.80%66500000.8712000622
9C.J. SuessManchots (Pit)LW618132117160524366194412.12%7118519.43134101800002943146.90%11300000.3548000040
10Vincent SevignyManchots (Pit)D7141519824086633292212.50%37114116.0721312510000391050.00%200000.3300000012
11Ben TardifManchots (Pit)C/LW/RW716121811180811118218577.32%9123417.380334880000492044.56%84600000.2901000040
12Seth BartonManchots (Pit)D7111516946010352139167.69%39108915.3500017000061000%000000.2900000012
13Mackenzie MacEachernManchots (Pit)LW/RW616915623556718727476.90%2119819.65235131730000702049.47%9500000.2526100111
14Riley BezeauManchots (Pit)C/LW/RW716612718084547810587.69%8109015.360002200000111049.06%5300000.2200000102
15Ivan ChekhovichManchots (Pit)LW27369060925163818.75%22308.530001130000101047.62%14700000.7800000011
16Vitaly AbramovManchots (Pit)LW/RW61448727533625416377.41%997315.97000060001690045.57%7900000.1600001212
17Tyson FeistManchots (Pit)D541786180351211369.09%254869.00000425000041000%000000.3300000101
18Pavel GogolevManchots (Pit)RW1011202013741525.00%016316.3200003000000060.00%1000000.2500000100
19Clayton PhillipsManchots (Pit)D10000-100910000%115315.37000000000700100.00%10000000000000
Statistiques d’équipe totales ou en moyenne10531482534011454331511591302133334991611.10%3491949218.51315586299196212315138033753.45%471500120.411851201394030
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
1Nico DawsManchots (Pit)61352150.9181.493695299211160300.71839610741
2Hunter ShepardManchots (Pit)10000.9172.73220011200000061000
Statistiques d’équipe totales ou en moyenne62352150.9181.50371729931128030396161741


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 Ballotage forcé Waiver Possible 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 10Lien
Ben Tardif (contrat à 1 volet)Manchots (Pit)C/LW/RW222000-01-24Yes190 Lbs5 ft10YesNoNoNo1Pro & Farm620,000$71,042$0$0$NoLien
C.J. Suess (contrat à 1 volet)Manchots (Pit)LW281994-03-17No190 Lbs5 ft11NoNoYesYes1Pro & Farm700,000$80,208$0$0$NoLien
Clayton PhillipsManchots (Pit)D231999-09-09Yes182 Lbs5 ft10NoNoNoNo1Pro & Farm575,000$65,885$0$0$NoLien
Hendrix LapierreManchots (Pit)C202002-02-09Yes179 Lbs6 ft0NoNoNoNo3Pro & Farm863,333$98,924$0$0$No863,333$863,333$
Hunter ShepardManchots (Pit)G261995-11-07Yes209 Lbs6 ft1NoNoYesYes1Pro & Farm950,000$108,854$0$0$NoLien
Ian MitchellManchots (Pit)D231999-01-18No193 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$105,990$0$0$NoLien
Ivan ChekhovichManchots (Pit)LW231999-01-04No187 Lbs5 ft11NoNoNoNo1Pro & Farm776,667$88,993$0$0$NoLien
Jamie DrysdaleManchots (Pit)D202002-04-08No183 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$105,990$0$0$NoLien
Joel Hanley (contrat à 1 volet)Manchots (Pit)D311991-06-08No190 Lbs5 ft11NoNoYesYes1Pro & Farm1,020,000$116,875$120,000$13,750$NoLien
Juuso ParssinenManchots (Pit)C212001-02-01Yes212 Lbs6 ft3NoNoNoNo3Pro & Farm850,833$97,491$0$0$No850,833$850,833$
Mackenzie MacEachern (contrat à 1 volet)Manchots (Pit)LW/RW281994-03-09No190 Lbs6 ft2NoNoYesYes1Pro & Farm560,000$64,167$0$0$NoLien
Mikhail VorobyevManchots (Pit)C251997-01-04No194 Lbs6 ft2NoNoYesYes1Pro & Farm625,000$71,615$0$0$NoLien
Nico DawsManchots (Pit)G212000-12-22Yes205 Lbs6 ft4NoNoNoNo3Pro & Farm800,000$91,667$0$0$No800,000$800,000$Lien
Pavel GogolevManchots (Pit)RW222000-02-19Yes197 Lbs6 ft1NoNoNoNo3Pro & Farm834,167$95,582$0$0$No834,167$834,167$Lien
Pierrick Dube (contrat à 1 volet)Manchots (Pit)RW212001-01-07Yes165 Lbs5 ft9YesNoNoNo1Pro & Farm620,000$71,042$0$0$NoLien
Riley Bezeau (contrat à 1 volet)Manchots (Pit)C/LW/RW202002-05-04Yes187 Lbs6 ft0YesNoNoNo3Pro & Farm635,000$72,760$0$0$No635,000$635,000$Lien
Sebastian CossaManchots (Pit)G192002-11-21Yes209 Lbs6 ft6NoNoNoNo3Pro & Farm894,167$102,457$0$0$No894,167$894,167$
Seth BartonManchots (Pit)D231999-08-18Yes196 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$105,990$0$0$NoLien
Simon HolmstromManchots (Pit)RW212001-05-24Yes205 Lbs6 ft2NoNoNoNo1Pro & Farm894,167$102,457$0$0$NoLien
Tomas VomackaManchots (Pit)G231999-05-02Yes165 Lbs6 ft3NoNoNoNo1Pro & Farm525,000$60,156$0$0$NoLien
Trent MinerManchots (Pit)G212001-02-05Yes185 Lbs6 ft1NoNoNoNo2Pro & Farm560,000$64,167$0$0$No560,000$Lien
Tyler SteenbergenManchots (Pit)C/LW/RW241998-01-07No188 Lbs5 ft10NoNoYesYes2Pro & Farm650,000$74,479$0$0$No650,000$Lien
Tyler WeissManchots (Pit)LW222000-01-03Yes151 Lbs5 ft11NoNoNoNo2Pro & Farm650,000$74,479$0$0$No650,000$Lien
Tyson Feist (contrat à 1 volet)Manchots (Pit)D212001-01-14Yes207 Lbs6 ft3YesNoNoNo1Pro & Farm620,000$71,042$0$0$NoLien
Vincent Sevigny (contrat à 1 volet)Manchots (Pit)D212001-04-14Yes174 Lbs6 ft3YesNoNoNo1Pro & Farm625,000$71,615$0$0$NoLien
Vitaly AbramovManchots (Pit)LW/RW241998-05-08Yes181 Lbs5 ft10NoNoYesYes1Pro & Farm600,000$68,750$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2622.81189 Lbs6 ft11.58739,359$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernJuuso ParssinenSimon Holmstrom40122
2C.J. SuessHendrix LapierrePierrick Dube30122
3Vitaly AbramovBen TardifRiley Bezeau20122
4Simon HolmstromJuuso ParssinenPierrick Dube10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyJamie Drysdale40122
2Ian MitchellVincent Sevigny30122
3Seth BartonTyson Feist20122
4Joel HanleyJamie Drysdale10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernJuuso ParssinenSimon Holmstrom60122
2C.J. SuessHendrix LapierrePierrick Dube40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyJamie Drysdale60122
2Ian MitchellVincent Sevigny40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenSimon Holmstrom60122
2Pierrick DubeHendrix Lapierre40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyJamie Drysdale60122
2Ian MitchellVincent Sevigny40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen60122Joel HanleyJamie Drysdale60122
2Simon Holmstrom40122Ian MitchellVincent Sevigny40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenSimon Holmstrom60122
2Pierrick DubeHendrix Lapierre40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyJamie Drysdale60122
2Ian MitchellVincent Sevigny40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernJuuso ParssinenSimon HolmstromJoel HanleyJamie Drysdale
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernJuuso ParssinenSimon HolmstromJoel HanleyJamie Drysdale
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Tardif, Vitaly Abramov, Riley BezeauBen Tardif, Vitaly AbramovRiley Bezeau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Barton, Tyson Feist, Ian MitchellSeth BartonTyson Feist, Ian Mitchell
Tirs de pénalité
Juuso Parssinen, Simon Holmstrom, Pierrick Dube, Hendrix Lapierre, Mackenzie MacEachern
Gardien
#1 : Nico Daws, #2 : Hunter Shepard


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
1Admirals201000105501010000023-11000001032120.500571200594742204343242845773341314387114.29%30100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
2Baby Hawks2020000016-51010000015-41010000001-100.0001230059474220294324284577347151236200.00%6266.67%0975185152.67%924179751.42%507100650.40%178712581654506893456
3Bears3110000178-1211000006601000000112-130.500713200059474220574324284577344122453500.00%12375.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
4Bruins2010001025-3000000000002010001025-320.500213005947422031432428457733661839900.00%8275.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
5Cabaret Lady Mary Ann312000005502020000014-31100000041320.333591400594742205343242845773431718521317.69%9277.78%0975185152.67%924179751.42%507100650.40%178712581654506893456
6Caroline410000211064210000107342000001133070.875101424005947422069432428457736817266816425.00%120100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
7Chiefs220000001055110000005231100000053241.00010182800594742203643242845773369103510330.00%5260.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
8Chill10001000101000000000001000100010121.000112015947422022432428457731810223500.00%10100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
9Comets21100000541110000003121010000023-120.50051015005947422053432428457733813125310220.00%60100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
10Cougars2010000158-31010000024-21000000134-110.25059140059474220244324284577370141834200.00%9188.89%0975185152.67%924179751.42%507100650.40%178712581654506893456
11Crunch311000015322010000103-31100000050530.500581301594742205943242845773531516489111.11%70100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
12Heat2020000035-21010000034-11010000001-100.0003580059474220414324284577354161242400.00%6183.33%0975185152.67%924179751.42%507100650.40%178712581654506893456
13Jayhawks220000001019110000005051100000051441.00010203001594742205743242845773511010508450.00%4175.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
14Las Vegas201000104401010000001-11000001043120.50046100059474220354324284577333712372150.00%6183.33%0975185152.67%924179751.42%507100650.40%178712581654506893456
15Marlies22000000927110000003121100000061541.00091524005947422049432428457733115103411218.18%5180.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
16Minnesota21100000532110000004131010000012-120.50059140059474220384324284577347124336116.67%2150.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
17Monarchs21100000734110000006151010000012-120.50071421005947422038432428457733051628400.00%8187.50%0975185152.67%924179751.42%507100650.40%178712581654506893456
18Monsters211000004311010000012-11100000031220.5004812005947422034432428457734010142613323.08%7271.43%0975185152.67%924179751.42%507100650.40%178712581654506893456
19Monsters211000005411010000023-11100000031220.50059140059474220434324284577333942614428.57%10100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
20Oceanics22000000422110000002111100000021141.000471100594742204143242845773271124407114.29%10280.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
21Oil Kings2020000013-21010000001-11010000012-100.000123005947422032432428457732988336116.67%40100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
22Phantoms43100000844220000005142110000033060.7508152301594742207243242845773621932721200.00%100100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
23Rocket3010001134-1200000113301010000001-130.50034700594742205043242845773341324547114.29%11281.82%0975185152.67%924179751.42%507100650.40%178712581654506893456
24Sags21100000752110000005231010000023-120.500713200059474220324324284577338111637600.00%7185.71%0975185152.67%924179751.42%507100650.40%178712581654506893456
25Seattle2110000035-2110000002021010000015-420.5003690159474220344324284577343171633700.00%8362.50%0975185152.67%924179751.42%507100650.40%178712581654506893456
26Senators320010001046110000004132100100063361.00010182800594742205343242845773581218461516.67%7185.71%0975185152.67%924179751.42%507100650.40%178712581654506893456
27Sound Tigers32000100651210001004401100000021150.833691501594742206443242845773521222507114.29%11281.82%0975185152.67%924179751.42%507100650.40%178712581654506893456
28Spiders2110000023-11010000002-21100000021120.50023500594742203543242845773314836800.00%4175.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
29Stars21000001431110000004221000000101-130.75045900594742203143242845773421612364125.00%6266.67%0975185152.67%924179751.42%507100650.40%178712581654506893456
30Thunder20000020642000000000002000002064241.000681400594742204943242845773631837555120.00%11190.91%1975185152.67%924179751.42%507100650.40%178712581654506893456
31Wolf Pack2020000015-42020000015-40000000000000.000123005947422036432428457735581226500.00%60100.00%0975185152.67%924179751.42%507100650.40%178712581654506893456
Total71282602186158127313616150012281661535121102064776116830.5851582704280659474220134043242845773134037448112732393414.23%2123583.49%1975185152.67%924179751.42%507100650.40%178712581654506893456
_Since Last GM Reset71282602186158127313616150012281661535121102064776116830.5851582704280659474220134043242845773134037448112732393414.23%2123583.49%1975185152.67%924179751.42%507100650.40%178712581654506893456
_Vs Conference34161002141795821169600100392910187402041402911460.67679134213035947422065643242845773619166267603119108.40%1101784.55%1975185152.67%924179751.42%507100650.40%178712581654506893456

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7183W215827042813401340374481127306
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7128262186158127
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36161501228166
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
35121120647761
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2393414.23%2123583.49%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
4324284577359474220
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
975185152.67%924179751.42%507100650.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
178712581654506893456


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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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
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6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
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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
1 - 2023-10-102Baby Hawks5Manchots1BLSommaire du match
4 - 2023-10-1318Manchots1Bears2ALXXSommaire du match
5 - 2023-10-1425Heat4Manchots3BLSommaire du match
9 - 2023-10-1850Manchots3Cougars4ALXXSommaire du match
12 - 2023-10-2175Manchots5Chiefs3AWSommaire du match
15 - 2023-10-2488Stars2Manchots4BWSommaire du match
17 - 2023-10-26105Monsters3Manchots2BLSommaire du match
19 - 2023-10-28123Senators1Manchots4BWSommaire du match
21 - 2023-10-30132Admirals3Manchots2BLSommaire du match
26 - 2023-11-04171Manchots2Sags3ALSommaire du match
29 - 2023-11-07187Manchots3Admirals2AWXXSommaire du match
31 - 2023-11-09202Manchots1Monarchs2ALSommaire du match
33 - 2023-11-11217Crunch1Manchots0BLXXSommaire du match
36 - 2023-11-14230Manchots3Monsters1AWSommaire du match
38 - 2023-11-16245Spiders2Manchots0BLSommaire du match
40 - 2023-11-18261Manchots1Caroline2ALXXSommaire du match
41 - 2023-11-19269Las Vegas1Manchots0BLSommaire du match
44 - 2023-11-22283Wolf Pack2Manchots0BLSommaire du match
46 - 2023-11-24301Manchots5Crunch0AWSommaire du match
47 - 2023-11-25311Marlies1Manchots3BWSommaire du match
50 - 2023-11-28331Manchots1Chill0AWXSommaire du match
52 - 2023-11-30345Manchots2Thunder1AWXXSommaire du match
54 - 2023-12-02363Phantoms1Manchots3BWSommaire du match
56 - 2023-12-04374Manchots0Phantoms2ALSommaire du match
58 - 2023-12-06389Manchots4Thunder3AWXXSommaire du match
60 - 2023-12-08406Manchots4Cabaret Lady Mary Ann1AWSommaire du match
64 - 2023-12-12434Jayhawks0Manchots5BWSommaire du match
65 - 2023-12-13442Manchots0Rocket1ALSommaire du match
68 - 2023-12-16467Manchots6Marlies1AWSommaire du match
70 - 2023-12-18480Minnesota1Manchots4BWSommaire du match
73 - 2023-12-21503Caroline1Manchots4BWSommaire du match
75 - 2023-12-23520Manchots3Senators2AWXSommaire du match
79 - 2023-12-27533Manchots2Sound Tigers1AWSommaire du match
82 - 2023-12-30559Chiefs2Manchots5BWSommaire du match
83 - 2023-12-31567Sound Tigers0Manchots1BWSommaire du match
85 - 2024-01-02576Bears3Manchots2BLSommaire du match
87 - 2024-01-04589Manchots0Bruins4ALSommaire du match
89 - 2024-01-06613Crunch2Manchots0BLSommaire du match
91 - 2024-01-08622Manchots3Phantoms1AWSommaire du match
94 - 2024-01-11643Comets1Manchots3BWSommaire du match
96 - 2024-01-13658Manchots2Caroline1AWXXSommaire du match
98 - 2024-01-15677Seattle0Manchots2BWSommaire du match
103 - 2024-01-20715Manchots4Las Vegas3AWXXSommaire du match
105 - 2024-01-22727Manchots5Jayhawks1AWSommaire du match
109 - 2024-01-26756Cabaret Lady Mary Ann3Manchots1BLSommaire du match
110 - 2024-01-27767Rocket2Manchots3BWXXSommaire du match
120 - 2024-02-06788Oceanics1Manchots2BWSommaire du match
123 - 2024-02-09801Manchots1Minnesota2ALSommaire du match
124 - 2024-02-10810Manchots2Oceanics1AWSommaire du match
128 - 2024-02-14835Cabaret Lady Mary Ann1Manchots0BLSommaire du match
129 - 2024-02-15845Manchots0Baby Hawks1ALSommaire du match
132 - 2024-02-18865Monarchs1Manchots6BWSommaire du match
134 - 2024-02-20878Sound Tigers4Manchots3BLXSommaire du match
136 - 2024-02-22893Rocket1Manchots0BLXXSommaire du match
139 - 2024-02-25917Phantoms0Manchots2BWSommaire du match
141 - 2024-02-27937Manchots2Comets3ALSommaire du match
143 - 2024-02-29950Manchots1Seattle5ALSommaire du match
145 - 2024-03-02968Manchots0Heat1ALSommaire du match
146 - 2024-03-03974Manchots1Oil Kings2ALSommaire du match
148 - 2024-03-05983Monsters2Manchots1BLSommaire du match
150 - 2024-03-07998Bears3Manchots4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091012Manchots2Bruins1AWXXSommaire du match
153 - 2024-03-101022Oil Kings1Manchots0BLSommaire du match
155 - 2024-03-121034Manchots3Senators1AWSommaire du match
157 - 2024-03-141051Sags2Manchots5BWSommaire du match
159 - 2024-03-161061Wolf Pack3Manchots1BLSommaire du match
160 - 2024-03-171078Cougars4Manchots2BLSommaire du match
162 - 2024-03-191084Manchots2Spiders1AWSommaire du match
165 - 2024-03-221110Manchots0Stars1ALXXSommaire du match
167 - 2024-03-241125Manchots3Monsters1AWSommaire du match
169 - 2024-03-261138Caroline2Manchots3BWXXSommaire du match
171 - 2024-03-281154Monsters-Manchots-
173 - 2024-03-301172Manchots-Monsters-
175 - 2024-04-011182Manchots-Wolf Pack-
176 - 2024-04-021191Manchots-Spiders-
178 - 2024-04-041206Manchots-Bears-
180 - 2024-04-061217Thunder-Manchots-
182 - 2024-04-081237Manchots-Marlies-
185 - 2024-04-111258Cougars-Manchots-
187 - 2024-04-131279Bruins-Manchots-
189 - 2024-04-151289Chill-Manchots-
191 - 2024-04-171303Manchots-Sound Tigers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité17501250
Prix des billets5020
Assistance39,78830,037
Assistance PCT63.16%66.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 1940 - 64.65% 86,338$3,108,168$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,275,727$ 1,382,334$ 1,382,334$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,200$ 1,275,727$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
431,690$ 22 7,200$ 158,400$




Manchots 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

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 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

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