Connexion

Wolf Pack
GP: 11 | W: 9 | L: 1 | OTL: 1 | P: 19
GF: 58 | GA: 36 | PP%: 25.00% | PK%: 68.75%
DG: Hugo Vincent | Morale : 50 | Moyenne d’équipe : 68
Prochain matchs #172 vs W-B/Scranton Penguins
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Centre de jeu
Wolf Pack
9-1-1, 19pts
5
FINAL
6 Wolves
3-5-2, 8pts
Team Stats
W1StreakW1
5-0-0Home Record3-2-0
4-1-1Away Record0-3-2
8-1-1Last 10 Games3-5-2
5.27Buts par match 3.80
3.27Buts contre par match 4.60
25.00%Pourcentage en avantage numérique30.00%
68.75%Pourcentage en désavantage numérique81.08%
Comets
6-3-1, 13pts
5
FINAL
6 Wolf Pack
9-1-1, 19pts
Team Stats
SOL1StreakW1
4-1-0Home Record5-0-0
2-2-1Away Record4-1-1
6-3-1Last 10 Games8-1-1
4.50Buts par match 5.27
4.20Buts contre par match 3.27
25.71%Pourcentage en avantage numérique25.00%
70.59%Pourcentage en désavantage numérique68.75%
Wolf Pack
9-1-1, 19pts
2022-08-03
W-B/Scranton Penguins
3-7-0, 6pts
Statistiques d’équipe
W1SéquenceL2
5-0-0Fiche domicile2-3-0
4-1-1Fiche visiteur1-4-0
8-1-110 derniers matchs3-7-0
5.27Buts par match 3.10
3.27Buts contre par match 4.40
25.00%Pourcentage en avantage numérique21.21%
68.75%Pourcentage en désavantage numérique80.56%
Monsters
7-2-1, 15pts
2022-08-04
Wolf Pack
9-1-1, 19pts
Statistiques d’équipe
W2SéquenceW1
3-2-0Fiche domicile5-0-0
4-0-1Fiche visiteur4-1-1
7-2-110 derniers matchs8-1-1
4.40Buts par match 5.27
3.10Buts contre par match 3.27
18.75%Pourcentage en avantage numérique25.00%
91.30%Pourcentage en désavantage numérique68.75%
W-B/Scranton Penguins
3-7-0, 6pts
2022-08-06
Wolf Pack
9-1-1, 19pts
Statistiques d’équipe
L2SéquenceW1
2-3-0Fiche domicile5-0-0
1-4-0Fiche visiteur4-1-1
3-7-010 derniers matchs8-1-1
3.10Buts par match 5.27
4.40Buts contre par match 3.27
21.21%Pourcentage en avantage numérique25.00%
80.56%Pourcentage en désavantage numérique68.75%
Meneurs d'équipe
Victoires
Mads Sogaard
9
Pourcentage d’arrêts
Mads Sogaard
0.911

Statistiques d’équipe
Buts pour
58
5.27 GFG
Tirs pour
491
44.64 Avg
Pourcentage en avantage numérique
25.0%
12 GF
Début de zone offensive
43.9%
Buts contre
36
3.27 GAA
Tirs contre
405
36.82 Avg
Pourcentage en désavantage numérique
68.8%
10 GA
Début de la zone défensive
39.4%
Information d’équipe

Directeur généralHugo Vincent
EntraîneurKim St-Pierre
DivisionMETROPOLITAINE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 55
Espoirs21


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
1Trevor Zegras0X100.005934807871888579768074628061660507502121,175,000$
2Gabriel Vilardi0X100.007339937286848971787069647263650507402351,627,500$
3Rasmus Kupari0X100.007338876580798567766665646863660507102251,081,667$
4Nils Hoglander0X100.005833897466848973586672577662630507102121,125,000$
5Peyton Krebs0X100.006139847371859172707164607361630507102131,275,833$
6Philip Tomasino0X100.005834867368798471667063597261630507002131,005,000$
7Emil Bemstrom0X100.006437927073787967716268596763640506902311,633,333$
8Alex Barre-Boulet0X100.005836936870858665746667606865670506902553,180,000$
9Cole Perfetti0X100.006136957068867369706863627462630506902021,627,500$
10Marco Rossi0X100.005738716866918667806562617362630506902041,713,333$
11Alexander Holtz0X100.006237916773917865566364576661620506802041,744,167$
12Carson Meyer0X100.006139776469838563586265596365670506802541,025,000$
13Bowen Byram0X100.007738807476897873307667635862640507402123,394,167$
14Jaycob Megna0X100.00847478609685885930665873457075050730291885,000$
15Andrej Sustr0X100.008345825799828758306659684574750507203111,000,000$
16Dylan Coghlan0X100.006536936682868565307062595463650507002442,575,000$
17Alex Vlasic0X100.006538836392846859306158655362640506802131,491,667$
18Jake Christiansen0X100.00643783627283856130626354616365050670232950,000$
Rayé
1Justin Brazeau0X100.008476895593807658605960635764660506802411,000,000$
2Scott Sabourin0X100.007682585687736958536557615870720506703011,045,000$
3Seth Griffith24X100.00603791646776876373646259647071050670291936,000$
4Dillon Hamaliuk0X100.00723974538167725451555657536264050630213925,000$
5Nick Pastujov0X100.00663886547573605360525654556466050610241750,000$
6Bryce Misley0X100.00654173517463605350525755546365050600231750,000$
7Cameron Crotty0X100.00713986578173925630555458456365050650232925,000$
8Connor Corcoran0X100.00683979627778635830576359536264050650221873,333$
9Tobie Paquette-Bisson0X100.00733984568267825430585357456567050640251800,000$
10Xavier Bernard0X100.00753991548463605230535055456264050610221925,000$
MOYENNE D’ÉQUIPE100.0068428464788079635364626061646605068
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
1Mads Sogaard100.0075777895747375747375746267050770212925,000$
2Michael Dipietro100.0074757376737274737274736369050740235910,833$
Rayé
1Brett Brochu100.00596563705857595857595859610506202031,950,000$
MOYENNE D’ÉQUIPE100.006972718068676968676968616605071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kim St-Pierre75757575757575Can4450$


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
1Gabriel VilardiWolf Pack (NYR)C1141620132026165016408.00%427825.320667390000230058.04%11200001.4402000120
2Trevor ZegrasWolf Pack (NYR)C1181018136043575245310.67%324722.463142539000002252.49%22100011.4602000102
3Bowen ByramWolf Pack (NYR)D109716118014173471326.47%1225925.945162038000020100.00%000011.2300000210
4Philip TomasinoWolf Pack (NYR)C117714144011113991917.95%221519.570118400000191047.06%3400001.3012000021
5Peyton KrebsWolf Pack (NYR)C1141014220181939143410.26%322620.562461238000000047.95%24400001.2411000021
6Nils HoglanderWolf Pack (NYR)LW11751242082260194311.67%226223.9002217380000261141.07%5600010.9113000200
7Dylan CoghlanWolf Pack (NYR)D11371013201292361513.04%1929026.371341139000025000.00%000010.6900000100
8Rasmus KupariWolf Pack (NYR)C11551006032284983010.20%223221.11022739000000055.14%32100000.8600000110
9Jaycob MegnaWolf Pack (NYR)D111898100307105710.00%1219017.3300001000019000.00%000000.9400000101
10Alex Barre-BouletWolf Pack (NYR)C11246120219257188.00%212411.2700000000001072.73%1100000.9700000000
11Carson MeyerWolf Pack (NYR)RW1124602096265147.69%113712.4800000000000037.50%800000.8700000000
12Cole PerfettiWolf Pack (NYR)C1115632011164111342.44%425523.250117380002240043.08%6500000.4713000000
13Jake ChristiansenWolf Pack (NYR)D111569207572714.29%1023521.40011239000026000.00%000000.5100000000
14Andrej SustrWolf Pack (NYR)D11044-41202274130.00%1114313.080000000001000.00%000000.5600000000
15Emil BemstromWolf Pack (NYR)C1111210020101100.00%0151.4410112000050035.29%1700002.5200000000
16Alex VlasicWolf Pack (NYR)D110221209108030.00%1015914.460000000007000.00%000000.2500000000
17Alexander HoltzWolf Pack (NYR)RW11000100000010.00%070.670000000003000.00%000000.0000000000
18Cameron CrottyWolf Pack (NYR)D1000-300000000.00%11818.330000000003000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne187551001558764021722749113433511.20%98329917.6412223411739700022086351.33%108900040.94413000985
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
1Mads SogaardWolf Pack (NYR)119110.9113.2067600364050100.92914110010
Statistiques d’équipe totales ou en moyenne119110.9113.2067600364050100.92914110010


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 restantSalaire moyenPlafond 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
Alex Barre-BouletWolf Pack (NYR)C251997-05-21No180 Lbs5 ft10NoNoNo5Pro & Farm3,180,000$3,180,000$650,000$0$0$No1,342,000$1,342,000$1,342,000$1,342,000$Lien
Alex VlasicWolf Pack (NYR)D212001-06-05No199 Lbs6 ft6NoNoNo3Pro & Farm1,491,667$1,491,667$700,000$0$0$No1,491,667$1,491,667$Lien
Alexander HoltzWolf Pack (NYR)RW202002-01-23No195 Lbs6 ft0NoNoNo4Pro & Farm1,744,167$1,744,167$700,000$0$0$No1,744,167$1,744,167$1,744,167$Lien
Andrej SustrWolf Pack (NYR)D311990-11-29No217 Lbs6 ft7NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$0$0$NoLien
Bowen ByramWolf Pack (NYR)D212001-06-13No190 Lbs6 ft1NoNoNo2Pro & Farm3,394,167$3,394,167$3,394,167$0$0$No3,394,167$Lien
Brett BrochuWolf Pack (NYR)G202002-09-09No161 Lbs5 ft11YesNoNo3Pro & Farm1,950,000$1,950,000$1,950,000$0$0$No1,950,000$1,950,000$Lien
Bryce MisleyWolf Pack (NYR)LW231999-09-05No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$700,000$0$0$NoLien
Cameron CrottyWolf Pack (NYR)D231999-05-05No182 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Carson MeyerWolf Pack (NYR)RW251997-08-18No184 Lbs5 ft11NoNoNo4Pro & Farm1,025,000$1,025,000$820,000$0$0$No1,025,000$1,025,000$1,025,000$Lien
Cole PerfettiWolf Pack (NYR)C202002-01-01No177 Lbs5 ft11NoNoNo2Pro & Farm1,627,500$1,627,500$1,627,500$0$0$No1,627,500$Lien
Connor CorcoranWolf Pack (NYR)D222000-08-07No185 Lbs6 ft2NoNoNo1Pro & Farm873,333$873,333$700,000$0$0$NoLien
Dillon HamaliukWolf Pack (NYR)LW212000-10-30No190 Lbs6 ft3NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Dylan CoghlanWolf Pack (NYR)D241998-02-19No208 Lbs6 ft2NoNoNo4Pro & Farm2,575,000$2,575,000$650,000$0$0$No2,549,000$2,549,000$2,549,000$Lien
Emil BemstromWolf Pack (NYR)C231999-06-01No193 Lbs6 ft0NoNoNo1Pro & Farm1,633,333$1,633,333$925,001$0$0$NoLien
Gabriel VilardiWolf Pack (NYR)C231999-08-16No215 Lbs6 ft3NoNoNo5Pro & Farm1,627,500$1,627,500$650,000$0$0$No2,139,000$2,139,000$2,139,000$2,139,000$Lien
Jake ChristiansenWolf Pack (NYR)D231999-09-12No186 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$950,000$0$0$No950,000$Lien
Jaycob MegnaWolf Pack (NYR)D291992-12-10No220 Lbs6 ft6NoNoNo1Pro & Farm885,000$885,000$650,000$0$0$NoLien
Justin BrazeauWolf Pack (NYR)RW241998-02-02No220 Lbs6 ft5NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$0$0$NoLien
Mads SogaardWolf Pack (NYR)G212000-12-13No196 Lbs6 ft7NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Marco RossiWolf Pack (NYR)C202001-09-23No182 Lbs5 ft9NoNoNo4Pro & Farm1,713,333$1,713,333$700,000$0$0$No1,713,333$1,713,333$1,713,333$Lien
Michael DipietroWolf Pack (NYR)G231999-06-09No200 Lbs6 ft0NoNoNo5Pro & Farm910,833$910,833$650,000$0$0$No1,379,000$1,379,000$1,379,000$1,379,000$Lien
Nick PastujovWolf Pack (NYR)C241998-01-21No202 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$700,000$0$0$NoLien
Nils HoglanderWolf Pack (NYR)LW212000-12-20No185 Lbs5 ft9NoNoNo2Pro & Farm1,125,000$1,125,000$1,125,000$0$0$No1,125,000$Lien
Peyton KrebsWolf Pack (NYR)C212001-01-26No185 Lbs6 ft0NoNoNo3Pro & Farm1,275,833$1,275,833$700,000$0$0$No1,275,833$1,275,833$Lien
Philip TomasinoWolf Pack (NYR)C212001-07-28No179 Lbs6 ft0NoNoNo3Pro & Farm1,005,000$1,005,000$1,005,000$0$0$No1,005,000$1,005,000$Lien
Rasmus KupariWolf Pack (NYR)C222000-03-15No200 Lbs6 ft2NoNoNo5Pro & Farm1,081,667$1,081,667$650,000$0$0$No1,679,000$1,679,000$1,679,000$1,679,000$Lien
Scott SabourinWolf Pack (NYR)RW301992-07-30No207 Lbs6 ft4NoNoNo1Pro & Farm1,045,000$1,045,000$650,000$0$0$NoLien
Seth GriffithWolf Pack (NYR)C291993-01-04No190 Lbs5 ft9NoNoNo1Pro & Farm936,000$936,000$1,000,000$0$0$NoLien
Tobie Paquette-BissonWolf Pack (NYR)D251997-02-01No194 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Trevor ZegrasWolf Pack (NYR)C212001-03-20No185 Lbs6 ft0NoNoNo2Pro & Farm1,175,000$1,175,000$1,175,000$0$0$No1,175,000$Lien
Xavier BernardWolf Pack (NYR)D222000-06-01No205 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3123.16193 Lbs6 ft12.451,329,817$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderPeyton KrebsCole Perfetti32023
2Gabriel VilardiTrevor ZegrasPhilip Tomasino30023
3Carson MeyerRasmus KupariAlex Barre-Boulet20122
4Trevor ZegrasRasmus KupariGabriel Vilardi18122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanBowen Byram46023
2Jaycob MegnaJake Christiansen30023
3Andrej SustrAlex Vlasic24032
4Dylan CoghlanBowen Byram0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderRasmus KupariPhilip Tomasino50014
2Peyton KrebsGabriel VilardiCole Perfetti50014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanBowen Byram50023
2Trevor ZegrasJake Christiansen50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils HoglanderGabriel Vilardi50122
2Cole PerfettiPhilip Tomasino50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanBowen Byram50122
2Jaycob MegnaJake Christiansen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Philip Tomasino50122Dylan CoghlanBowen Byram50122
2Gabriel Vilardi50122Alex VlasicJake Christiansen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus KupariNils Hoglander50122
2Gabriel VilardiCole Perfetti50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan CoghlanBowen Byram50122
2Andrej SustrJake Christiansen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderCole PerfettiPhilip TomasinoDylan CoghlanBowen Byram
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderCole PerfettiPhilip TomasinoDylan CoghlanBowen Byram
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Vilardi, Philip Tomasino, Nils HoglanderGabriel Vilardi, Philip TomasinoGabriel Vilardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Christiansen, Bowen Byram, Dylan CoghlanJake ChristiansenJake Christiansen, Bowen Byram
Tirs de pénalité
Cole Perfetti, Nils Hoglander, Gabriel Vilardi, Trevor Zegras, Philip Tomasino
Gardien
#1 : Mads Sogaard, #2 : Michael Dipietro
Lignes d’attaque personnalisées en prolongation
Rasmus Kupari, Nils Hoglander, Gabriel Vilardi, Trevor Zegras, Cole Perfetti, Philip Tomasino, Philip Tomasino, Alex Barre-Boulet, Carson Meyer, Peyton Krebs, Marco Rossi
Lignes de défense personnalisées en prolongation
Dylan Coghlan, Bowen Byram, Jaycob Megna, Jake Christiansen, Andrej Sustr


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
1Bears211000001073110000005141010000056-120.5001018280017182049114017317120872114407114.29%7357.14%024246851.71%22142052.62%9617853.93%2922112477913772
2Comets210000101385100000106511100000073441.0001321340017182048914017317120791616477342.86%8362.50%024246851.71%22142052.62%9617853.93%2922112477913772
3Islanders21000010945100000103211100000062441.000915240017182048714017317120591883114428.57%4175.00%024246851.71%22142052.62%9617853.93%2922112477913772
4Monsters11000000431000000000001100000043121.00048120017182043714017317120325417200.00%20100.00%024246851.71%22142052.62%9617853.93%2922112477913772
5Phantoms210000101266110000006151000001065141.0001219310017182049214017317120802314507114.29%7185.71%024246851.71%22142052.62%9617853.93%2922112477913772
6Wolves210001001082110000005231000010056-130.7501019290017182049514017317120681583211327.27%4250.00%024246851.71%22142052.62%9617853.93%2922112477913772
Total116100130583622530000202511146310011033258190.86458100158001718204491140173171204059864217481225.00%321068.75%024246851.71%22142052.62%9617853.93%2922112477913772
_Since Last GM Reset116100130583622530000202511146310011033258190.86458100158001718204491140173171204059864217481225.00%321068.75%024246851.71%22142052.62%9617853.93%2922112477913772
_Vs Conference116100130583622530000202511146310011033258190.86458100158001718204491140173171204059864217481225.00%321068.75%024246851.71%22142052.62%9617853.93%2922112477913772
_Vs Division116100130583622530000202511146310011033258190.86458100158001718204491140173171204059864217481225.00%321068.75%024246851.71%22142052.62%9617853.93%2922112477913772

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1119W158100158491405986421700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116101305836
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53000202511
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63101103325
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
481225.00%321068.75%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
140173171201718204
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
24246851.71%22142052.62%9617853.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2922112477913772


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
2 - 2022-07-1815Wolf Pack6Phantoms5AWXXSommaire du match
3 - 2022-07-1929Phantoms1Wolf Pack6BWSommaire du match
5 - 2022-07-2145Wolf Pack5Bears6ALSommaire du match
7 - 2022-07-2361Bears1Wolf Pack5BWSommaire du match
8 - 2022-07-2478Wolf Pack6Islanders2AWSommaire du match
10 - 2022-07-2692Wolves2Wolf Pack5BWSommaire du match
11 - 2022-07-27109Islanders2Wolf Pack3BWXXSommaire du match
12 - 2022-07-28116Wolf Pack4Monsters3AWSommaire du match
14 - 2022-07-30141Wolf Pack7Comets3AWSommaire du match
15 - 2022-07-31149Wolf Pack5Wolves6ALXSommaire du match
16 - 2022-08-01157Comets5Wolf Pack6BWXXSommaire du match
18 - 2022-08-03172Wolf Pack-W-B/Scranton Penguins-
19 - 2022-08-04190Monsters-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
21 - 2022-08-06209W-B/Scranton Penguins-Wolf Pack-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,122,433$ 2,947,167$ 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$ 8 0$ 0$




Wolf Pack 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

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


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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 (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