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Wolf Pack
GP: 5 | W: 1 | L: 4
GF: 11 | GA: 17 | PP%: 9.52% | PK%: 40.00%
DG: Jonathan Laroche | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Bears
5-5-0, 10pts
3
FINAL
2 Wolf Pack
1-4-0, 2pts
Team Stats
L4StreakL3
2-3-0Home Record0-2-0
3-2-0Away Record1-2-0
5-4-1Last 10 Games1-4-0
3.00Buts par match 2.20
2.90Buts contre par match 3.40
34.78%Pourcentage en avantage numérique9.52%
84.62%Pourcentage en désavantage numérique40.00%
Wolf Pack
1-4-0, 2pts
3
FINAL
4 Bears
5-5-0, 10pts
Team Stats
L3StreakL4
0-2-0Home Record2-3-0
1-2-0Away Record3-2-0
1-4-0Last 10 Games5-4-1
2.20Buts par match 3.00
3.40Buts contre par match 2.90
9.52%Pourcentage en avantage numérique34.78%
40.00%Pourcentage en désavantage numérique84.62%
Meneurs d'équipe
Buts
Matt Luff
2
Passes
Cedric Paquette
3
Points
Cedric Paquette
3
Plus/Moins
Dylan Holloway
3
Victoires
Evan Cormier
1
Pourcentage d’arrêts
Joel Blomqvist
1

Statistiques d’équipe
Buts pour
11
2.20 GFG
Tirs pour
173
34.60 Avg
Pourcentage en avantage numérique
9.5%
2 GF
Début de zone offensive
47.5%
Buts contre
17
3.40 GAA
Tirs contre
154
30.80 Avg
Pourcentage en désavantage numérique
40.0%%
6 GA
Début de la zone défensive
34.0%
Informations de l'équipe

Directeur généralJonathan Laroche
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,522
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 50
Espoirs20


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
1Cedric PaquetteXX100.008970718274536861525855815371760506402821,200,000$
2Nils Hoglander (R)XX100.00694287836564836825617064255757050640202891,667$
3Frederik GauthierXX100.008547997088596553755055782564640506102631,200,000$
4Vinni LettieriXX100.007843936767636770516370592553530506102621,420,370$
5Mackenzie EntwistleX100.00885687707057685839615973255050050600222811,669$
6Matt LuffX100.00784494687355626125616466255555050600241700,000$
7Mike VecchioneXX100.00726882666864656480626263594444050600282950,000$
8Marco Rossi (R)X100.00696479776460606480646062574444050600204863,333$
9Jacob Perreault (R)XX100.00696969706966676278606161584444050590192925,000$
10Tyce Thompson (R)X100.00686672666654516650646562624444050590221912,500$
11Vasili Ponomarev (R)X100.00726588736541356580656263594444050580194813,333$
12Dylan Holloway (R)XX100.00777485617447446278606065574444050570204925,000$
13Mathias BromeXX100.00654289716760596234505263244646050560273925,000$
14Juuso RiikolaX100.00736886736858595525553964375454050590271850,000$
15Justin Barron (R)X100.00787293777257585425484564434444050590192925,000$
16Samuel Bolduc (R)X100.00858390658356604525344065384444050570202842,500$
17Bode WildeX100.00818098597354505228384968454444050560212778,333$
Rayé
1Bokondji ImamaX100.00668326668365704950464756454444050530253800,000$
2Kevin CzuczmanX100.00807689667656594625374063384646050560301700,000$
3Ty Emberson (R)X100.00777190637152544625364161394444050540213853,333$
4Anton Karlsson (R)X100.00656980606954584225333558364444050520252700,000$
MOYENNE D’ÉQUIPE100.0075648369725760574653546542494905058
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
1Evan Cormier (R)100.0053445580555554585857304444050550232600,000$
2Joel Blomqvist (R)100.0044405072454445494545454444050480194825,000$
Rayé
MOYENNE D’ÉQUIPE100.004942537650505054525138444405052
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
1Cedric PaquetteWolf Pack (Ran)C/LW5033-1602014147120.00%410821.73000118000030044.92%11800000.5500000001
2Mackenzie EntwistleWolf Pack (Ran)RW5123-12016643325.00%28416.971011000000000.00%000000.7100000000
3Matt LuffWolf Pack (Ran)RW5213-22065154913.33%28316.7001111000040020.00%1000000.7200000000
4Mike VecchioneWolf Pack (Ran)C/RW5213200511248128.33%19919.95101517000000028.57%700000.6000000000
5Dylan HollowayWolf Pack (Ran)C/LW5123375991011310.00%29619.380000160000100100.00%400000.6200010010
6Frederik GauthierWolf Pack (Ran)C/RW52020003421159.52%09519.20000418000011060.00%1000000.4200000100
7Vinni LettieriWolf Pack (Ran)C/RW5112200315216124.76%210420.92011517000020049.17%12000000.3800000000
8Justin BarronWolf Pack (Ran)D5112-2206252420.00%611322.6700041800007000.00%000000.3500000000
9Mathias BromeWolf Pack (Ran)LW/RW5022-300164220.00%07615.3401101000000016.67%600000.5200000000
10Nils HoglanderWolf Pack (Ran)LW/RW5112-1002102312124.35%210521.07000418000170041.67%1200000.3800000000
11Juuso RiikolaWolf Pack (Ran)D5011-2001405140.00%511222.5100031800006000.00%000000.1800000000
12Samuel BolducWolf Pack (Ran)D50110601224130.00%310220.5500011800002000.00%000000.1900000000
13Marco RossiWolf Pack (Ran)C5011-3006474160.00%18116.3100001000000054.88%8200000.2500000000
14Bode WildeWolf Pack (Ran)D5000000559120.00%1110320.7900051800005000.00%000000.00%00000000
15Jacob PerreaultWolf Pack (Ran)C/RW5000-100134100.00%0224.5000000000000040.91%2200000.00%00000000
16Tyce ThompsonWolf Pack (Ran)RW5000000342130.00%28016.010000000000000.00%000000.00%00000000
17Vasili PonomarevWolf Pack (Ran)C5000-100261210.00%0265.3200003000030077.78%900000.00%00000000
Statistiques d’équipe totales ou en moyenne85111728-10255114106173571136.36%43149917.64235341890001481048.25%40000000.3700010111
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
1Evan CormierWolf Pack (Ran)51400.8743.7427300171350000.00%050000
2Joel BlomqvistWolf Pack (Ran)10001.0000.00%28000190000.00%005000
Statistiques d’équipe totales ou en moyenne61400.8903.383020017154000055000


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
Anton KarlssonWolf Pack (Ran)D251996-08-03Yes187 Lbs6 ft1NoNoYes2Pro & Farm700,000$0$0$No700,000$Lien
Bode WildeWolf Pack (Ran)D212000-01-24No192 Lbs6 ft3NoNoNo2Pro & Farm778,333$0$0$No778,333$Lien
Bokondji ImamaWolf Pack (Ran)LW251996-08-02No221 Lbs6 ft1YesNoYes3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Cedric Paquette (contrat à 1 volet)Wolf Pack (Ran)C/LW281993-08-12No204 Lbs6 ft0NoNoYes2Pro & Farm1,200,000$300,000$0$No1,200,000$Lien
Dylan HollowayWolf Pack (Ran)C/LW202001-09-23Yes203 Lbs6 ft1NoNoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$Lien
Evan CormierWolf Pack (Ran)G231997-11-06Yes200 Lbs6 ft3NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Frederik Gauthier (contrat à 1 volet)Wolf Pack (Ran)C/RW261995-04-26No239 Lbs6 ft5NoNoYes3Pro & Farm1,200,000$300,000$0$No1,200,000$1,200,000$Lien
Jacob PerreaultWolf Pack (Ran)C/RW192002-04-15Yes192 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Joel BlomqvistWolf Pack (Ran)G192002-01-10Yes183 Lbs6 ft2NoNoNo4Pro & Farm825,000$0$0$No825,000$825,000$825,000$Lien
Justin BarronWolf Pack (Ran)D192001-11-15Yes194 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Juuso Riikola (contrat à 1 volet)Wolf Pack (Ran)D271993-11-09No189 Lbs6 ft0NoNoYes1Pro & Farm850,000$0$0$NoLien
Kevin Czuczman (contrat à 1 volet)Wolf Pack (Ran)D301991-01-09No206 Lbs6 ft2NoNoYes1Pro & Farm700,000$0$0$NoLien
Mackenzie EntwistleWolf Pack (Ran)RW221999-07-13No184 Lbs6 ft3NoNoNo2Pro & Farm811,669$0$0$No811,669$Lien
Marco RossiWolf Pack (Ran)C202001-09-23Yes183 Lbs5 ft9NoNoNo4Pro & Farm863,333$0$0$No863,333$863,333$863,333$Lien
Mathias Brome (contrat à 1 volet)Wolf Pack (Ran)LW/RW271994-07-28No183 Lbs6 ft0NoNoYes3Pro & Farm925,000$25,000$0$No925,000$925,000$Lien
Matt LuffWolf Pack (Ran)RW241997-05-05No196 Lbs6 ft2NoNoYes1Pro & Farm700,000$0$0$NoLien
Mike Vecchione (contrat à 1 volet)Wolf Pack (Ran)C/RW281993-02-25No194 Lbs5 ft10NoNoYes2Pro & Farm950,000$50,000$0$No950,000$Lien
Nils HoglanderWolf Pack (Ran)LW/RW202000-12-20Yes185 Lbs5 ft9NoNoNo2Pro & Farm891,667$0$0$No891,667$Lien
Samuel BolducWolf Pack (Ran)D202000-12-09Yes220 Lbs6 ft4NoNoNo2Pro & Farm842,500$0$0$No842,500$Lien
Ty EmbersonWolf Pack (Ran)D212000-05-24Yes194 Lbs6 ft1NoNoNo3Pro & Farm853,333$0$0$No853,333$853,333$Lien
Tyce ThompsonWolf Pack (Ran)RW221999-07-11Yes178 Lbs6 ft1NoNoNo1Pro & Farm912,500$0$0$NoLien
Vasili PonomarevWolf Pack (Ran)C192002-03-13Yes181 Lbs5 ft10NoNoNo4Pro & Farm813,333$0$0$No813,333$813,333$813,333$Lien
Vinni Lettieri (contrat à 1 volet)Wolf Pack (Ran)C/RW261995-02-06No185 Lbs5 ft11NoNoYes2Pro & Farm1,255,555$520,370$0$No1,255,555$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.09195 Lbs6 ft12.35880,314$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderCedric PaquetteFrederik Gauthier40122
2Dylan HollowayVinni LettieriMike Vecchione30122
3Mathias BromeMarco RossiMatt Luff20122
4Cedric PaquetteJacob PerreaultMackenzie Entwistle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJuuso Riikola40122
2Samuel BolducBode Wilde30122
3Mackenzie EntwistleTyce Thompson20122
4Justin BarronJuuso Riikola10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderCedric PaquetteFrederik Gauthier60122
2Dylan HollowayVinni LettieriMike Vecchione40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJuuso Riikola60122
2Samuel BolducBode Wilde40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cedric PaquetteNils Hoglander60122
2Frederik GauthierVinni Lettieri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJuuso Riikola60122
2Samuel BolducBode Wilde40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cedric Paquette60122Justin BarronJuuso Riikola60122
2Nils Hoglander40122Samuel BolducBode Wilde40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cedric PaquetteNils Hoglander60122
2Frederik GauthierVinni Lettieri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin BarronJuuso Riikola60122
2Samuel BolducBode Wilde40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderCedric PaquetteFrederik GauthierJustin BarronJuuso Riikola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderCedric PaquetteFrederik GauthierJustin BarronJuuso Riikola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vasili Ponomarev, Marco Rossi, Matt LuffVasili Ponomarev, Marco RossiMatt Luff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Bolduc, Bode Wilde, Justin BarronSamuel BolducBode Wilde, Justin Barron
Tirs de pénalité
Cedric Paquette, Nils Hoglander, Frederik Gauthier, Vinni Lettieri, Marco Rossi
Gardien
#1 : Evan Cormier, #2 : Joel Blomqvist


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
1Bears514000001117-62020000035-231200000812-420.200111728004421173594961415443251142129.52%10640.00%09419049.47%6313646.32%367448.65%12079115386735
Total514000001117-62020000035-231200000812-420.200111728004421173594961415443251142129.52%10640.00%09419049.47%6313646.32%367448.65%12079115386735
_Since Last GM Reset514000001117-62020000035-231200000812-420.200111728004421173594961415443251142129.52%10640.00%09419049.47%6313646.32%367448.65%12079115386735
_Vs Conference514000001117-62020000035-231200000812-420.200111728004421173594961415443251142129.52%10640.00%09419049.47%6313646.32%367448.65%12079115386735
_Vs Division500000001117-62000000035-230000000812-400.000111728004421173594961415443251142129.52%10640.00%09419049.47%6313646.32%367448.65%12079115386735

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L3111728173154432511400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001117
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000035
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000812
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2129.52%10640.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
59496144421
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
9419049.47%6313646.32%367448.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12079115386735


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
1 - 2023-04-173Wolf Pack0Bears4ALSommaire du match
3 - 2023-04-1911Wolf Pack5Bears4AWXSommaire du match
5 - 2023-04-2119Bears2Wolf Pack1BLSommaire du match
7 - 2023-04-2327Bears3Wolf Pack2BLSommaire du match
9 - 2023-04-2535Wolf Pack3Bears4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance3,5171,527
Assistance PCT87.93%76.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2522 - 84.07% 85,610$171,220$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,316,666$ 1,316,666$ 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 (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 (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