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Connexion

Wolf Pack
GP: 82 | W: 24 | L: 56 | OTL: 2 | P: 50
GF: 238 | GA: 438 | PP%: 13.43% | PK%: 81.27%
DG: Daniel | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Wolves
54-27-1, 109pts
5
FINAL
4 Wolf Pack
24-56-2, 50pts
Team Stats
L1StreakSOL1
30-11-0Home Record14-27-0
24-16-1Away Record10-29-2
4-6-0Last 10 Games4-5-1
4.70Buts par match 2.90
2.67Buts contre par match 5.34
21.71%Pourcentage en avantage numérique13.43%
83.27%Pourcentage en désavantage numérique81.27%
Wolf Pack
24-56-2, 50pts
5
FINAL
6 Penguins
36-41-5, 77pts
Team Stats
SOL1StreakSOW1
14-27-0Home Record18-20-3
10-29-2Away Record18-21-2
4-5-1Last 10 Games6-1-3
2.90Buts par match 4.33
5.34Buts contre par match 4.84
13.43%Pourcentage en avantage numérique22.31%
81.27%Pourcentage en désavantage numérique74.34%
Meneurs d'équipe
Buts
Tanner Laczynski
21
Passes
Tanner Laczynski
23
Points
Tanner Laczynski
44
Plus/Moins
Tanner Laczynski
35
Mike CondonVictoires
Mike Condon
8
Pourcentage d’arrêts
Jean-Francois Berube
0.903

Statistiques d’équipe
Buts pour
238
2.90 GFG
Tirs pour
2029
24.74 Avg
Pourcentage en avantage numérique
13.4%
27 GF
Début de zone offensive
32.0%
Buts contre
438
5.34 GAA
Tirs contre
3174
38.71 Avg
Pourcentage en désavantage numérique
81.3%%
47 GA
Début de la zone défensive
41.3%
Informations de l'équipe

Directeur généralDaniel
EntraîneurPascal Vincent
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,946
Billets de saison0


Informations de la formation

Équipe Pro16
Équipe Mineure19
Limite contact 35 / 50
Espoirs22


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
1Brendan PerliniXX100.0078459183795152562554706425464667506102721,500,000$
2Jesse Ylonen (R)X100.006341956669597468256666612545456650610232925,000$
3Jakob Pelletier (R)XX100.007265896365575566806366646344446550610223863,333$
4Tanner Laczynski (R)XXX100.007771907171565562785961655844446450600263925,000$
5Nicholas Caamano (R)X100.007473766373565753504656625345455850560242750,000$
6Dominik Bokk (R)XX100.0076699167695253515050476245444455505502321,137,500$
7Henry Rybinski (R)XXX100.005555555555555555555555555555555555541213925,000$
8Bokondji Imama (R)X100.006683266683657049504647564544445150540263750,000$
9Kyle CapobiancoX100.007543767372696165255248702552526050630251750,000$
10Dillon Heatherington (R)X100.008599786386595755253947772544445850620283925,000$
11Anthony BitettoX100.007880727080545651254043684164655450610321750,000$
12Jarred TinordiX100.008091546891565947253640663856575250600312900,000$
13Ian McCoshenX100.007880726080545746253739633750505050570271750,000$
14Linus Hogberg (R)X100.007466916566657046253739603744445250570242900,000$
15Max Gildon (R)X100.007873917073505147253841623944445250570242853,333$
16Cameron Crotty (R)X100.007570866370626745253341603944445150560243925,000$
Rayé
MOYENNE D’ÉQUIPE100.00746977677458595438475063414848575058
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

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# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent67686669767176CAN501900,000$


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
1Zach BogosianRangersD35105161435551414458215117.24%5480723.0741620331180000105200.00%000001.5100100455
2Tanner LaczynskiWolf Pack (NYR)C/LW/RW32212344354406037109398919.27%660418.9121316761125733077.78%9000021.4502000540
3Jakob PelletierWolf Pack (NYR)C/LW2716213730200265894246317.02%355820.7002266010151091170.55%65200011.3202000335
4Henry RybinskiWolf Pack (NYR)C/LW/RW3215183324260303762204024.19%156617.7134710730000691164.37%53600001.1611000113
5Nicholas CaamanoWolf Pack (NYR)RW3217153224355441887265419.54%352416.3904410701013665062.16%3700001.2201000232
6Dillon HeatheringtonWolf Pack (NYR)D3282230313915592649154116.33%3367621.1431429730220117000.00%200000.8900102401
7Dominik BokkWolf Pack (NYR)LW/RW329213021140453580224611.25%352016.271349710000223070.21%4700001.1511000131
8Jesse YlonenWolf Pack (NYR)RW2261622202013226428509.38%445220.5901112490002990047.06%3400000.9711000012
9Jarred TinordiWolf Pack (NYR)D293172021475861928152110.71%3158620.2421316670001100100.00%000000.6800100211
10Ian McCoshenWolf Pack (NYR)D3231619125210901624111412.50%1955117.250006200000661050.00%200000.6900002011
11Linus HogbergWolf Pack (NYR)D324131719160411929101913.79%2458818.3820264500008000100.00%100000.5800000011
12Max GildonWolf Pack (NYR)D32411151024031223691211.11%3462119.4311216690000113110.00%000000.4800000101
13Cameron CrottyWolf Pack (NYR)D324913020053254512358.89%2658818.400002150001630062.11%16100000.4400000001
14Anthony BitettoWolf Pack (NYR)D1711213151202313108910.00%1134420.2503353301106600100.00%200000.7600000010
15Bokondji ImamaWolf Pack (NYR)LW289312-116610984976254611.84%448917.500002130001242076.19%2100100.4900101001
Statistiques d’équipe totales ou en moyenne4461302683982944725084044085128559015.28%256848419.0218375517886134718118020367.32%158500130.9438405232425
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
1Jean-Francois BerubeRangers118300.9031.7864202191950000.6676110100
2Mike CondonRangers148500.8972.4678020323100000.00%0139110
3Anton KhudobinRangers85300.8622.2844801171230000.00%080000
Statistiques d’équipe totales ou en moyenne33211100.8922.18187023686280006329210


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 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
Anthony BitettoWolf Pack (NYR)D321990-07-15No222 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Bokondji ImamaWolf Pack (NYR)LW261996-08-02Yes221 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Brendan PerliniWolf Pack (NYR)LW/RW271996-04-27No211 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien / Lien NHL
Cameron CrottyWolf Pack (NYR)D241999-05-05Yes182 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Dillon HeatheringtonWolf Pack (NYR)D281995-05-09Yes220 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Dominik BokkWolf Pack (NYR)LW/RW232000-02-03Yes181 Lbs6 ft2NoNoNo2Pro & Farm1,137,500$0$0$No1,137,500$Lien
Henry RybinskiWolf Pack (NYR)C/LW/RW212001-06-26 1:36:52 PMYes175 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Ian McCoshenWolf Pack (NYR)D271995-08-05No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jakob PelletierWolf Pack (NYR)C/LW222001-03-07Yes181 Lbs5 ft10NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Jarred TinordiWolf Pack (NYR)D311992-02-20No230 Lbs6 ft6NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Jesse YlonenWolf Pack (NYR)RW231999-10-03Yes187 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Kyle CapobiancoWolf Pack (NYR)D251997-08-13No196 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Linus HogbergWolf Pack (NYR)D241998-09-04Yes176 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Max GildonWolf Pack (NYR)D241999-05-17Yes194 Lbs6 ft3NoNoNo2Pro & Farm853,333$0$0$No853,333$Lien
Nicholas CaamanoWolf Pack (NYR)RW241998-09-07Yes195 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Tanner LaczynskiWolf Pack (NYR)C/LW/RW261997-06-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1625.44199 Lbs6 ft22.19908,073$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner LaczynskiJakob Pelletier40122
2Dominik BokkHenry RybinskiNicholas Caamano30122
3Bokondji ImamaCameron Crotty20122
4Jakob PelletierTanner Laczynski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonAnthony Bitetto40122
2Jarred TinordiMax Gildon30122
3Linus HogbergIan McCoshen20122
4Cameron CrottyDillon Heatherington10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner LaczynskiJakob Pelletier60122
2Dominik BokkHenry RybinskiNicholas Caamano40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonAnthony Bitetto60122
2Jarred TinordiMax Gildon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakob Pelletier60122
2Tanner LaczynskiNicholas Caamano40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonAnthony Bitetto60122
2Jarred TinordiMax Gildon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jakob Pelletier60122Dillon HeatheringtonAnthony Bitetto60122
240122Jarred TinordiMax Gildon40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakob Pelletier60122
2Tanner LaczynskiNicholas Caamano40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonAnthony Bitetto60122
2Jarred TinordiMax Gildon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner LaczynskiJakob PelletierDillon HeatheringtonAnthony Bitetto
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner LaczynskiJakob PelletierDillon HeatheringtonAnthony Bitetto
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bokondji Imama, Dominik Bokk, Henry RybinskiBokondji Imama, Dominik BokkHenry Rybinski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Linus Hogberg, Ian McCoshen, Cameron CrottyLinus HogbergIan McCoshen, Cameron Crotty
Tirs de pénalité
Jakob Pelletier, , Tanner Laczynski, Nicholas Caamano, Dominik Bokk
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Jakob Pelletier, , Tanner Laczynski, Nicholas Caamano, Dominik Bokk, Bokondji Imama, Bokondji Imama, Henry Rybinski, , ,
Lignes de défense personnalisées en prolongation
Dillon Heatherington, Anthony Bitetto, Jarred Tinordi, Max Gildon, Linus Hogberg


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
1 Americans21100000710-31010000059-41100000021120.5007142100101746054866966568423872416379111.11%7185.71%0795169346.96%896218141.08%601141142.59%156111052470546904407
2Admirals21100000770110000007161010000006-620.500713200010174605616696656842372171456000.00%6183.33%0795169346.96%896218141.08%601141142.59%156111052470546904407
3Barracudas3210000016792110000010551100000062440.667163248011017460512566966568423763014725120.00%7185.71%0795169346.96%896218141.08%601141142.59%156111052470546904407
4Bears522001002818102200000016313302001001215-350.5002855830110174605218669665684231595731104500.00%9188.89%0795169346.96%896218141.08%601141142.59%156111052470546904407
5Bruins40400000722-152020000039-620200000413-900.000713200010174605556696656842313533234713323.08%8362.50%0795169346.96%896218141.08%601141142.59%156111052470546904407
6Canucks31200000922-131100000041320200000521-1620.333917260010174605436696656842311544142714321.43%6183.33%0795169346.96%896218141.08%601141142.59%156111052470546904407
7Checkers40400000730-2320200000316-1320200000414-1000.00071320001017460578669665684231943922526116.67%11463.64%0795169346.96%896218141.08%601141142.59%156111052470546904407
8Comets20200000317-141010000029-71010000018-700.0003690010174605266696656842382271319600.00%40100.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
9Condors20200000411-71010000026-41010000025-300.0004610001017460534669665684234415223210220.00%10280.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
10Crunch20200000516-111010000049-51010000017-600.0005101500101746053966966568423100238243133.33%4175.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
11Eagles21100000711-4110000005411010000027-520.500714210010174605516696656842311135836200.00%40100.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
12Firebirds211000001174110000008171010000036-320.5001122330010174605696696656842387191238000.00%7185.71%0795169346.96%896218141.08%601141142.59%156111052470546904407
13Griffins2020000047-31010000023-11010000024-200.00047110010174605266696656842373121828500.00%90100.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
14Gulls21001000633110000003121000100032141.0006101600101746055366966568423561430461119.09%15193.33%1795169346.96%896218141.08%601141142.59%156111052470546904407
15Heat30300000223-211010000017-620200000116-1500.0002460010174605446696656842312937827700.00%3233.33%0795169346.96%896218141.08%601141142.59%156111052470546904407
16IceHogs20200000414-101010000024-210100000210-800.000471100101746056066966568423131234305360.00%2150.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
17Marlies20200000018-1810100000010-101010000008-800.0000000010174605156696656842310535219700.00%110.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
18Monsters30300000328-2520200000216-1410100000112-1100.00035800101746053666966568423159471721800.00%5180.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
19Moose211000006421010000002-21100000062420.50061117001017460561669665684233617193510110.00%7271.43%0795169346.96%896218141.08%601141142.59%156111052470546904407
20Penguins402000111124-1320100010513-820100001611-530.37511162700101746059566966568423133414696900.00%17664.71%1795169346.96%896218141.08%601141142.59%156111052470546904407
21Phantoms422000001122-1121100000711-421100000411-740.500112132001017460571669665684231534644641300.00%19289.47%0795169346.96%896218141.08%601141142.59%156111052470546904407
22Rampage 32000010201462200000013851000001076161.000203858001017460518766966568423114312845120.00%10100.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
23Reign22000000734110000004221100000031241.0007132000101746056066966568423361361504125.00%16287.50%0795169346.96%896218141.08%601141142.59%156111052470546904407
24Roadrunners220000001046110000005321100000051441.000101828001017460595669665684236519854000.00%30100.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
25Rocket20200000215-131010000015-410100000110-900.00024600101746053066966568423942425363133.33%10370.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
26Senators211000008621010000035-21100000051420.5008132100101746054066966568423522118499444.44%9277.78%0795169346.96%896218141.08%601141142.59%156111052470546904407
27Sound Tigers404000001223-112020000069-320200000614-800.00012233500101746058366966568423168451676500.00%8187.50%0795169346.96%896218141.08%601141142.59%156111052470546904407
28Stars20200000511-61010000035-21010000026-400.000510151010174605976696656842310525847000.00%3166.67%0795169346.96%896218141.08%601141142.59%156111052470546904407
29Thunderbirds40400000526-2120200000315-1220200000211-900.00051015001017460563669665684231645341781715.88%17476.47%0795169346.96%896218141.08%601141142.59%156111052470546904407
30Wild2020000038-51010000025-31010000013-200.0003690010174605246696656842389171832500.00%90100.00%0795169346.96%896218141.08%601141142.59%156111052470546904407
31Wolves211000008711010000045-11100000042220.5008162400101746054266966568423501028535240.00%14285.71%1795169346.96%896218141.08%601141142.59%156111052470546904407
Total82215601121238438-20041132700010135202-674182901111103236-133500.3052384476851210174605202966966568423317489361014692012713.43%2514781.27%3795169346.96%896218141.08%601141142.59%156111052470546904407
_Since Last GM Reset82215601121238438-20041132700010135202-674182901111103236-133500.3052384476851210174605202966966568423317489361014692012713.43%2514781.27%3795169346.96%896218141.08%601141142.59%156111052470546904407
_Vs Conference4763800111115294-179234180001061134-73242200010154160-106160.17011521332801101746059186696656842318865473387401231411.38%1373078.10%1795169346.96%896218141.08%601141142.59%156111052470546904407
_Vs Division264220011175162-8713310000104177-3613112001013485-51120.2317513921401101746056076696656842310483021894325211.92%731579.45%1795169346.96%896218141.08%601141142.59%156111052470546904407

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8250SOL123844768520293174893610146912
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8221561121238438
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113270010135202
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
418291111103236
Derniers 10 matchs
WLOTWOTL SOWSOL
350011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2012713.43%2514781.27%3
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
6696656842310174605
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
795169346.96%896218141.08%601141142.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
156111052470546904407


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 - 2023-03-2315Thunderbirds13Wolf Pack2BLSommaire du match
3 - 2023-03-2427Wolf Pack3Bears4ALSommaire du match
5 - 2023-03-2647Wolf Pack5Bears6ALSommaire du match
7 - 2023-03-2856Bruins3Wolf Pack1BLSommaire du match
10 - 2023-03-3178Rampage 3Wolf Pack7BWSommaire du match
11 - 2023-04-0193Wolf Pack4Checkers5ALSommaire du match
14 - 2023-04-04111Sound Tigers5Wolf Pack4BLSommaire du match
16 - 2023-04-06127Wolf Pack2Sound Tigers9ALSommaire du match
17 - 2023-04-07138Wolf Pack1Bruins9ALSommaire du match
18 - 2023-04-08153Penguins9Wolf Pack0BLSommaire du match
20 - 2023-04-10170Wolf Pack0Phantoms9ALSommaire du match
22 - 2023-04-12185Phantoms9Wolf Pack2BLSommaire du match
24 - 2023-04-14201Wolf Pack0Heat6ALSommaire du match
26 - 2023-04-16214Monsters7Wolf Pack0BLSommaire du match
29 - 2023-04-19241Checkers7Wolf Pack1BLSommaire du match
30 - 2023-04-20251Wolf Pack4Canucks10ALSommaire du match
32 - 2023-04-22269Wolf Pack0Admirals6ALSommaire du match
33 - 2023-04-23278Stars5Wolf Pack3BLSommaire du match
36 - 2023-04-26299Sound Tigers4Wolf Pack2BLSommaire du match
37 - 2023-04-27312Wolf Pack1Monsters12ALSommaire du match
39 - 2023-04-29324Wolf Pack0Marlies8ALSommaire du match
41 - 2023-05-01340Wolf Pack4Sound Tigers5ALSommaire du match
42 - 2023-05-02349IceHogs4Wolf Pack2BLSommaire du match
45 - 2023-05-05370Eagles4Wolf Pack5BWSommaire du match
47 - 2023-05-07382Wolf Pack1Crunch7ALSommaire du match
49 - 2023-05-09400Marlies10Wolf Pack0BLSommaire du match
51 - 2023-05-11416Wolf Pack3Firebirds6ALSommaire du match
53 - 2023-05-13433Wolf Pack2Stars6ALSommaire du match
54 - 2023-05-14445Crunch9Wolf Pack4BLSommaire du match
56 - 2023-05-16461Wolf Pack1Rocket10ALSommaire du match
58 - 2023-05-18476 Americans9Wolf Pack5BLSommaire du match
60 - 2023-05-20492Wolf Pack1Comets8ALSommaire du match
61 - 2023-05-21504Monsters9Wolf Pack2BLSommaire du match
64 - 2023-05-24521Wolf Pack4Bears5ALXSommaire du match
66 - 2023-05-26537Heat7Wolf Pack1BLSommaire du match
68 - 2023-05-28554Wolf Pack2IceHogs10ALSommaire du match
69 - 2023-05-29569Rampage 5Wolf Pack6BWSommaire du match
72 - 2023-06-01591Wolf Pack7Rampage 6AWXXSommaire du match
74 - 2023-06-03603Comets9Wolf Pack2BLSommaire du match
76 - 2023-06-05623Wolf Pack1Canucks11ALSommaire du match
77 - 2023-06-06632Wild5Wolf Pack2BLSommaire du match
80 - 2023-06-09652Wolf Pack0Thunderbirds8ALSommaire du match
81 - 2023-06-10665Roadrunners3Wolf Pack5BWSommaire du match
83 - 2023-06-12681Wolf Pack1Heat10ALSommaire du match
85 - 2023-06-14697Barracudas5Wolf Pack4BLSommaire du match
87 - 2023-06-16714Wolf Pack0Checkers9ALSommaire du match
89 - 2023-06-18724Wolf Pack2Eagles7ALSommaire du match
90 - 2023-06-19736Checkers9Wolf Pack2BLSommaire du match
93 - 2023-06-22757Bruins6Wolf Pack2BLSommaire du match
95 - 2023-06-24771Wolf Pack2Griffins4ALSommaire du match
97 - 2023-06-26788Griffins3Wolf Pack2BLSommaire du match
99 - 2023-06-28802Wolf Pack5Roadrunners1AWSommaire du match
101 - 2023-06-30819Wolf Pack2Condors5ALSommaire du match
103 - 2023-07-02829Condors6Wolf Pack2BLSommaire du match
105 - 2023-07-04852Senators5Wolf Pack3BLSommaire du match
106 - 2023-07-05860Wolf Pack4Phantoms2AWSommaire du match
109 - 2023-07-08880Wolf Pack1Wild3ALSommaire du match
111 - 2023-07-10893Canucks1Wolf Pack4BWSommaire du match
113 - 2023-07-12912Wolf Pack6Moose2AWSommaire du match
114 - 2023-07-13925Bears3Wolf Pack8BWSommaire du match
117 - 2023-07-16947Wolf Pack6Barracudas2AWSommaire du match
118 - 2023-07-17954Gulls1Wolf Pack3BWSommaire du match
120 - 2023-07-19975Wolf Pack2Thunderbirds3ALSommaire du match
121 - 2023-07-20981Wolf Pack5Senators1AWSommaire du match
123 - 2023-07-22992Reign2Wolf Pack4BWSommaire du match
127 - 2023-07-261018Bears0Wolf Pack8BWSommaire du match
128 - 2023-07-271029Wolf Pack2 Americans1AWSommaire du match
130 - 2023-07-291050Barracudas0Wolf Pack6BWSommaire du match
131 - 2023-07-301061Wolf Pack3Reign1AWSommaire du match
134 - 2023-08-021080Wolf Pack3Gulls2AWXSommaire du match
135 - 2023-08-031087Moose2Wolf Pack0BLSommaire du match
137 - 2023-08-051109Wolf Pack4Wolves2AWSommaire du match
139 - 2023-08-071119Admirals1Wolf Pack7BWSommaire du match
142 - 2023-08-101147Wolf Pack3Bruins4ALSommaire du match
143 - 2023-08-111154Thunderbirds2Wolf Pack1BLSommaire du match
146 - 2023-08-141179Penguins4Wolf Pack5BWXXSommaire du match
147 - 2023-08-151184Wolf Pack1Penguins5ALSommaire du match
150 - 2023-08-181214Phantoms2Wolf Pack5BWSommaire du match
154 - 2023-08-221244Firebirds1Wolf Pack8BWSommaire du match
158 - 2023-08-261267Rocket5Wolf Pack1BLSommaire du match
162 - 2023-08-301293Wolves5Wolf Pack4BLSommaire du match
164 - 2023-09-011308Wolf Pack5Penguins6ALXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets190
Assistance81,97538,822
Assistance PCT99.97%94.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2946 - 98.21% 37,988$1,557,525$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,771,295$ 1,452,916$ 1,452,916$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,753$ 871,294$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,174$ 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