Connexion

Wolf Pack
GP: 10 | W: 3 | L: 6 | OTL: 1 | P: 7
GF: 22 | GA: 31 | PP%: 18.64% | PK%: 84.38%
DG: Andreas Matsoukas | Morale : 50 | Moyenne d’équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wolf Pack
3-6-1, 7pts
2
FINAL
3 Sound Tigers
6-4-0, 12pts
Team Stats
L1SéquenceW3
2-3-0Fiche domicile4-1-0
1-3-1Fiche domicile2-3-0
3-6-1Derniers 10 matchs6-4-0
2.20Buts par match 2.80
3.10Buts contre par match 1.80
18.64%Pourcentage en avantage numérique13.11%
84.38%Pourcentage en désavantage numérique85.45%
Wolf Pack
3-6-1, 7pts
2
FINAL
3 Monsters
6-3-1, 13pts
Team Stats
L1SéquenceW1
2-3-0Fiche domicile3-2-0
1-3-1Fiche domicile3-1-1
3-6-1Derniers 10 matchs6-3-1
2.20Buts par match 2.30
3.10Buts contre par match 2.30
18.64%Pourcentage en avantage numérique18.18%
84.38%Pourcentage en désavantage numérique88.00%
Meneurs d'équipe
Buts
Jakub Vrana
4
Passes
Adam Boqvist
6
Points
Adam Boqvist
6
Plus/Moins
Jon Merrill
3
Victoires
Dylan Ferguson
2
Pourcentage d’arrêts
Scott Wedgewood
0.853

Statistiques d’équipe
Buts pour
22
2.20 GFG
Tirs pour
137
13.70 Avg
Pourcentage en avantage numérique
18.6%
11 GF
Début de zone offensive
39.4%
Buts contre
31
3.10 GAA
Tirs contre
171
17.10 Avg
Pourcentage en désavantage numérique
84.4%%
10 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralAndreas Matsoukas
EntraîneurJeff Blashill
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2Brendan Lemieux


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite contact 43 / 60
Espoirs16


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
1Alexander Kerfoot0XX100.006942888366689967457262827571737150002923,500,000$
2Nolan Foote (R)0X100.00777485767475786350566566624545665000223863,333$
3Connor Brown0XX100.0077688581685356717973637942707055500N02923,600,000$
4Bobby Brink (R)0X100.006758887358514963506062605944446350002231,137,500$
5Rudolfs Balcers0XX100.006341918064567359256171602561616850002631,550,000$
6Curtis Douglas (R)0X100.00789442639474815063455163484444565000233837,500$
7Logan Brown0XX100.00694491738557636260615858755656625000251750,000$
8Alexander Kisakov (R)0X100.0065568763566468495041515648444454500N0213925,000$
9Aleksi Heponiemi0XX100.00665593725579846278625860554646645000244750,000$
10Rem Pitlick0XXX100.006542857570648264426564698058586750002611,100,000$
11Brendan Lemieux (A)0XX100.009499568380566559456356627565666350002721,550,000$
12Jon Merrill0X100.00674284767467885825514878256263615000311937,500$
13Ethan Bear0X100.006752878571767761255548822566676350002622,000,000$
14Neal Pionk0X100.008658848569859672256253827567686950002823,000,000$
15Logan Stanley0X100.00888070738563595525494879255758615000251900,000$
16Adam Boqvist0X100.006541948464776685256951652561616650002342,600,000$
17Zach Whitecloud0X100.008056807577717656255049862562646450002622,750,000$
Rayé
1Matej Pekar (R)0XX100.00736493656451524961484460424444535000231913,333$
2Jakub Vrana0X100.006742878671685675346590625366667750002723,350,000$
MOYENNE D’ÉQUIPE100.0073588376716672624458576949575863500
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
1Zach Sawchenko (R)0100.005057717048515055505030444451500N0251750,000$
2Dylan Ferguson (R)0100.005543547360565460585730444455500N0253750,000$
Rayé
1Scott Wedgewood0100.00735959717967847179735960607350003121,825,000$
MOYENNE D’ÉQUIPE100.005953617162586362626040494960500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill82798285746977USA502500,000$


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
1Ethan BearWolf Pack (NYR)D10156-380121019295.26%1121921.971231544000043000%000000.5500000002
2Adam BoqvistWolf Pack (NYR)D8066-300687450%617021.33033636000031000%000000.7000000000
3Neal PionkWolf Pack (NYR)D8325-51802216123725.00%818923.632241037000034100%000000.5300000100
4Logan StanleyWolf Pack (NYR)D8325218019744275.00%613316.6810114000013000%000010.7500000100
5Rem PitlickWolf Pack (NYR)C/LW/RW10145-3100131050320.00%115415.461341410000170045.21%14600000.6500000000
6Jakub VranaWolf Pack (NYR)LW8415-5406151821322.22%017221.502136390000180126.09%4600000.5801000001
7Alexander KerfootWolf Pack (NYR)LW/RW10224-7201017531040.00%120020.071123430000320050.00%2000000.4002000001
8Connor BrownWolf Pack (NYR)LW/RW10224-18018111471614.29%117917.942135420000210062.96%2700000.4501000010
9Rudolfs BalcersWolf Pack (NYR)LW/RW10044-120417320%014814.870224380000190054.55%1100000.5400000000
10Nolan FooteWolf Pack (NYR)LW10213095128114218.18%313213.22000050001241077.78%900000.4500100100
11Brendan LemieuxWolf Pack (NYR)LW/RW10123-520024253320.00%013013.07011110000000133.33%900000.4611000010
12Bobby BrinkWolf Pack (NYR)RW10112-1004763416.67%013213.2700015000070055.56%900000.3000000010
13Logan BrownWolf Pack (NYR)C/LW10022-4201156340%114814.90011229000010045.16%12400000.2700000000
14Curtis DouglasWolf Pack (NYR)C100110801550200%1818.15000010000250045.68%8100000.2500000000
15Kevin ShattenkirkRangersD5101-3409352320.00%811322.61101418000024000%000000.1800000000
16Zach WhitecloudWolf Pack (NYR)D8011-81351166020%714017.5001141900009000%000000.1400010000
17Jon MerrillWolf Pack (NYR)D7000320351030%712017.1500005000021000%00000000000000
18Jack JohnsonRangersD2000-340920000%34623.0300001000009000%00000000000000
19Matej PekarWolf Pack (NYR)C/RW4000000000000%0133.480000000000000%20000000000000
20Kevin StenlundRangersC/RW2000-100223240%03216.1700018000000055.88%340000000000000
21Alexander KisakovWolf Pack (NYR)LW6000040210000%0416.8400009000000040.91%220000000000000
22William BorgenRangersD2000-140350010%04221.380000800008000%00000000000000
23Aleksi HeponiemiWolf Pack (NYR)C/LW10000-1401163140%013613.67000030000290056.52%1150000000000000
24Jacob BrysonRangersD2000120130010%13115.560000000001000%00000000000000
Statistiques d’équipe totales ou en moyenne180213657-4914610207175137489815.33%65291116.171118296446400013962247.63%65500010.3915110334
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
1Dylan FergusonWolf Pack (NYR)82310.7892.793440016760000.800546000
2Scott WedgewoodWolf Pack (NYR)71300.8533.172650014950000063000
Statistiques d’équipe totales ou en moyenne153610.8252.9660900301710005109000


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 restantSalaire moyenSalaire 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
Adam BoqvistWolf Pack (NYR)D232000-08-14No179 Lbs5 ft11NoNoNoNo4Pro & Farm2,600,000$2,600,000$2,600,000$2,600,000$0$0$No2,600,000$2,600,000$2,600,000$Lien
Aleksi HeponiemiWolf Pack (NYR)C/LW241999-01-08No150 Lbs5 ft9NoNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Alexander KerfootWolf Pack (NYR)LW/RW291994-08-10No185 Lbs5 ft10NoNoNoNo2Pro & Farm3,500,000$3,500,000$3,500,000$3,500,000$0$0$No3,500,000$Lien
Alexander KisakovWolf Pack (NYR)LW212002-01-11Yes150 Lbs5 ft10YesNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Bobby BrinkWolf Pack (NYR)RW222001-07-08Yes165 Lbs5 ft8NoNoNoNo3Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$No1,137,500$1,137,500$Lien
Brendan LemieuxWolf Pack (NYR)LW/RW271996-03-15No213 Lbs6 ft1NoNoNoNo2Pro & Farm1,550,000$1,550,000$1,550,000$1,550,000$0$0$No1,550,000$Lien
Connor BrownWolf Pack (NYR)LW/RW291994-01-14No186 Lbs6 ft0YesNoNoNo2Pro & Farm3,600,000$3,600,000$3,600,000$3,600,000$0$0$No3,600,000$Lien
Curtis DouglasWolf Pack (NYR)C232000-03-06Yes248 Lbs6 ft9NoNoNoNo3Pro & Farm837,500$837,500$837,500$837,500$0$0$No837,500$837,500$Lien
Dylan FergusonWolf Pack (NYR)G251998-09-19Yes192 Lbs6 ft1YesNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Ethan BearWolf Pack (NYR)D261997-06-26No197 Lbs5 ft11NoNoNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$2,000,000$0$0$No2,000,000$Lien
Jakub VranaWolf Pack (NYR)LW271996-02-28No195 Lbs6 ft0NoNoNoNo2Pro & Farm3,350,000$3,350,000$3,350,000$3,350,000$0$0$No3,350,000$Lien
Jon MerrillWolf Pack (NYR)D311992-02-03No195 Lbs6 ft3NoNoNoNo1Pro & Farm937,500$937,500$937,500$937,500$0$0$NoLien
Logan BrownWolf Pack (NYR)C/LW251998-03-04No220 Lbs6 ft6NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Logan StanleyWolf Pack (NYR)D251998-05-25No216 Lbs6 ft6NoNoNoNo1Pro & Farm900,000$900,000$900,000$900,000$0$0$NoLien
Matej PekarWolf Pack (NYR)C/RW232000-02-10Yes170 Lbs6 ft0NoNoNoNo1Pro & Farm913,333$913,333$764,167$764,167$0$0$NoLien
Neal PionkWolf Pack (NYR)D281995-07-29No186 Lbs6 ft0NoNoNoNo2Pro & Farm3,000,000$3,000,000$3,000,000$3,000,000$0$0$No3,000,000$Lien
Nolan FooteWolf Pack (NYR)LW222000-11-29Yes195 Lbs6 ft3NoNoNoNo3Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$Lien
Rem PitlickWolf Pack (NYR)C/LW/RW261997-04-02No196 Lbs5 ft11NoNoNoNo1Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$NoLien
Rudolfs BalcersWolf Pack (NYR)LW/RW261997-04-08No175 Lbs5 ft11NoNoNoNo3Pro & Farm1,550,000$1,550,000$1,550,000$1,550,000$0$0$No1,550,000$1,550,000$Lien
Scott WedgewoodWolf Pack (NYR)G311992-08-13No194 Lbs6 ft0NoNoNoNo2Pro & Farm1,825,000$1,825,000$1,825,000$1,825,000$0$0$No1,825,000$Lien
Zach SawchenkoWolf Pack (NYR)G251997-12-30Yes185 Lbs6 ft1YesNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Zach WhitecloudWolf Pack (NYR)D261996-11-28No209 Lbs6 ft2NoNoNoNo2Pro & Farm2,750,000$2,750,000$2,750,000$2,750,000$0$0$No2,750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.64191 Lbs6 ft12.181,651,780$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rem PitlickConnor Brown30023
2Alexander KerfootLogan BrownBrendan Lemieux25023
3Nolan FooteAleksi HeponiemiBobby Brink25023
4Rudolfs BalcersCurtis Douglas20032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillNeal Pionk35122
2Adam BoqvistEthan Bear30122
3Zach WhitecloudLogan Stanley25122
4Adam BoqvistNeal Pionk10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rem PitlickConnor Brown60005
2Alexander KerfootLogan BrownRudolfs Balcers40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudNeal Pionk60014
2Adam BoqvistEthan Bear40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Curtis DouglasRudolfs Balcers60122
2Aleksi HeponiemiNolan Foote40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan StanleyNeal Pionk60122
2Adam BoqvistEthan Bear40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Aleksi Heponiemi60122Logan StanleyNeal Pionk60122
2Curtis Douglas40122Adam BoqvistEthan Bear40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander Kerfoot60122
2Connor BrownRem Pitlick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudNeal Pionk60122
2Adam BoqvistEthan Bear40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rem PitlickAlexander KerfootAdam BoqvistNeal Pionk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rem PitlickAlexander KerfootAdam BoqvistNeal Pionk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Kisakov, Brendan Lemieux, Nolan FooteAlexander Kisakov, Brendan LemieuxNolan Foote
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Whitecloud, Logan Stanley, Adam BoqvistZach WhitecloudLogan Stanley, Adam Boqvist
Tirs de pénalité
, Alexander Kerfoot, Connor Brown, Rem Pitlick, Rudolfs Balcers
Gardien
#1 : Dylan Ferguson, #2 : Zach Sawchenko
Lignes d’attaque personnalisées en prolongation
, Alexander Kerfoot, Connor Brown, Rem Pitlick, Rudolfs Balcers, Brendan Lemieux, Brendan Lemieux, Nolan Foote, Logan Brown, Aleksi Heponiemi, Bobby Brink
Lignes de défense personnalisées en prolongation
Jon Merrill, Neal Pionk, Adam Boqvist, Ethan Bear, Zach Whitecloud


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
1Monsters21100000440110000002111010000023-120.50047110013171214443496451334456116.67%16381.25%013325651.95%10724344.03%7215147.68%2351562447512965
2Penguins2020000046-21010000012-11010000034-100.00047110013171244443496238284211218.18%12283.33%013325651.95%10724344.03%7215147.68%2351562447512965
3Phantoms412000101013-32010001046-22110000067-140.50010152500131714444434966531628524520.83%26388.46%013325651.95%10724344.03%7215147.68%2351562447512965
4Sound Tigers2010000148-41010000025-31000000123-110.250471100131714844434963813223518316.67%10280.00%013325651.95%10724344.03%7215147.68%2351562447512965
Total1026000112231-951300010914-5513000011317-470.3502236580013171137444349617165146207591118.64%641084.38%013325651.95%10724344.03%7215147.68%2351562447512965
_Since Last GM Reset1026000112231-951300010914-5513000011317-470.3502236580013171137444349617165146207591118.64%641084.38%013325651.95%10724344.03%7215147.68%2351562447512965
_Vs Conference825000101823-54120001079-2413000001114-360.37518294700131718944434961335212417241819.51%54885.19%013325651.95%10724344.03%7215147.68%2351562447512965
_Vs Division1025000102231-951200010914-5513000001317-460.3002236580013171137444349617165146207591118.64%641084.38%013325651.95%10724344.03%7215147.68%2351562447512965

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
107L12236581371716514620700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
102600112231
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5130010914
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51300011317
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
591118.64%641084.38%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
444349613171
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
13325651.95%10724344.03%7215147.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2351562447512965


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
211Phantoms4Wolf Pack1BLSommaire du match
322Wolf Pack0Phantoms5ALSommaire du match
434Monsters1Wolf Pack2BWSommaire du match
546Phantoms2Wolf Pack3BWXXSommaire du match
867Penguins2Wolf Pack1BLSommaire du match
977Wolf Pack3Penguins4ALSommaire du match
1189Sound Tigers5Wolf Pack2BLSommaire du match
1297Wolf Pack6Phantoms2AWSommaire du match
13103Wolf Pack2Sound Tigers3ALXXSommaire du match
14107Wolf Pack2Monsters3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,633,916$ 3,619,000$ 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$




Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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