Connexion

Wolves
GP: 19 | W: 13 | L: 5 | OTL: 1 | P: 27
GF: 75 | GA: 69 | PP%: 18.31% | PK%: 86.96%
DG: Dan Breault | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #308 vs Texas Stars
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Centre de jeu
Bears
10-9-1, 21pts
3
FINAL
5 Wolves
13-5-1, 27pts
Team Stats
L2StreakW3
5-4-0Home Record7-2-0
5-5-1Away Record6-3-1
5-5-0Last 10 Games6-3-1
3.40Buts par match 3.95
3.30Buts contre par match 3.63
21.92%Pourcentage en avantage numérique18.31%
76.92%Pourcentage en désavantage numérique86.96%
Wolves
13-5-1, 27pts
4
FINAL
3 Comets
4-13-2, 10pts
Team Stats
W3StreakL3
7-2-0Home Record3-7-0
6-3-1Away Record1-6-2
6-3-1Last 10 Games2-7-1
3.95Buts par match 3.11
3.63Buts contre par match 4.21
18.31%Pourcentage en avantage numérique20.31%
86.96%Pourcentage en désavantage numérique78.38%
Texas Stars
11-7-1, 23pts
2022-11-29
Wolves
13-5-1, 27pts
Statistiques d’équipe
L1SéquenceW3
6-3-1Fiche domicile7-2-0
5-4-0Fiche visiteur6-3-1
6-4-010 derniers matchs6-3-1
3.37Buts par match 3.95
3.42Buts contre par match 3.63
26.83%Pourcentage en avantage numérique18.31%
75.00%Pourcentage en désavantage numérique86.96%
Firebirds
8-11-0, 16pts
2022-12-03
Wolves
13-5-1, 27pts
Statistiques d’équipe
L3SéquenceW3
4-5-0Fiche domicile7-2-0
4-6-0Fiche visiteur6-3-1
5-5-010 derniers matchs6-3-1
2.95Buts par match 3.95
3.11Buts contre par match 3.63
15.49%Pourcentage en avantage numérique18.31%
81.82%Pourcentage en désavantage numérique86.96%
Wolves
13-5-1, 27pts
2022-12-05
Barracuda
7-9-2, 16pts
Statistiques d’équipe
W3SéquenceW2
7-2-0Fiche domicile3-6-1
6-3-1Fiche visiteur4-3-1
6-3-110 derniers matchs2-6-2
3.95Buts par match 2.94
3.63Buts contre par match 3.56
18.31%Pourcentage en avantage numérique26.67%
86.96%Pourcentage en désavantage numérique79.69%
Meneurs d'équipe
Buts
Alec Regula
0
Passes
Alec Regula
5
Points
Alec Regula
5
Plus/Moins
Alec Regula
0
Victoires
Alex Stalock
11
Pourcentage d’arrêts
Mat Robson
0.943

Statistiques d’équipe
Buts pour
75
3.95 GFG
Tirs pour
700
36.84 Avg
Pourcentage en avantage numérique
18.3%
13 GF
Début de zone offensive
40.0%
Buts contre
69
3.63 GAA
Tirs contre
692
36.42 Avg
Pourcentage en désavantage numérique
87.0%
9 GA
Début de la zone défensive
41.2%
Information d’équipe

Directeur généralDan Breault
EntraîneurGuy Carbonneau
DivisionMETROPOLITAINE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,160
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 55
Espoirs2


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
1Sonny Milano0X98.00623693737584917458726962756667050730262700,000$
2Sam Carrick0X99.007774636574819162746366606570720507003031,884,000$
3Mikhail Maltsev0X100.00723992668384896574636462686566050700244839,000$
4Hudson Fasching0X100.00743994628481856165625862596769050690274879,000$
5Klim Kostin0X100.00863773678674766572636157636266050690233906,000$
6Adam Beckman0X100.00603883637790886662675860646163050680213894,167$
7Paul Cotter0X100.00763973607984876065586257616465050670232796,667$
8Riley Damiani0X100.00573780676483866571656361686364050670222891,667$
9Sampo Ranta0X100.006838826279787160595758615962640506602221,208,333$
10Simon Holmstrom0X100.00653785607478905965625755626163050650215925,000$
11Jared McIsaac0X100.00673985637771866230615659456264050660222896,667$
12Jordan Harris0X100.006435796668876964306062575261620506602221,137,500$
13Gustav Olofsson0X100.00714078568069715530585356466870050630274700,000$
14Hunter Skinner0X100.00683981577872735630555458466163050630212925,000$
15Markus Phillips0X100.00663983577566775630555453466365050620235801,667$
16Mason Millman0X100.00633979537262635530545053456163050590212870,000$
Rayé
1Owen Tippett0X100.007238887081839271626867656663650507302351,596,667$
2Jesper Boqvist0X100.00633684716981856866706765726466050710245925,000$
3Yegor Chinakhov0X97.006536927075818669566468577162630507002121,325,000$
4Ostap Safin0X100.00814083579071655552545558566365050640235879,167$
5Todd Burgess0X100.00673892577679635657555854576668050630264925,000$
MOYENNE D’ÉQUIPE99.7169408363777880625461605959646505067
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
1Alex Stalock100.00737072697271737271737276890507503522,500,000$
2Mat Robson100.00666768816564666564666566750506902652,180,000$
Rayé
1Samuel Ersson100.0064676676636264636264636569050670233925,000$
MOYENNE D’ÉQUIPE100.006868697567666867666867697805070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Carbonneau75757575757575CAN5850$


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
1Owen TippettWolves (CAR)RW18101323180304989225411.24%837120.6433620500001311045.50%20000001.2401000300
2Sonny MilanoWolves (CAR)LW1741519-1007375417507.41%636121.2802214450111470043.09%12300001.0512000031
3Yegor ChinakhovWolves (CAR)RW1910919520184288214811.36%537519.7502213510110422141.94%9300001.0112000020
4Mikhail MaltsevWolves (CAR)LW198816580213569154311.59%435218.5641514541011471050.00%5600000.9101000211
5Hudson FaschingWolves (CAR)RW197714-311592852152613.46%229015.29033930000162055.56%2700000.9600001200
6Jordan HarrisWolves (CAR)D197512160201733111921.21%3044523.434151958000054100.00%000000.5400000002
7Klim KostinWolves (CAR)C195712380593734113314.71%429115.33022333000080049.50%39800000.8200000013
8Jesper BoqvistWolves (CAR)C147310-300162546143915.22%322416.0410110290000143045.52%14500000.8900000011
9Riley DamianiWolves (CAR)C1937102405615015406.00%125513.47022426000001050.79%31700000.7811000000
10Hunter SkinnerWolves (CAR)D19279012029151511013.33%2837019.49022339000038000.00%000000.4900000010
11Jared McIsaacWolves (CAR)D18279-314019181811411.11%2239622.02112848000040100.00%000000.4500000010
12Markus PhillipsWolves (CAR)D19189-360361014167.14%2229215.3900002000117000.00%000000.6200000101
13Gustav OlofssonWolves (CAR)D19088624039216990.00%3039620.86022560000050000.00%000000.4000000000
14Adam BeckmanWolves (CAR)LW19167-4407253416332.94%826614.01000041012180029.63%2700000.5301000000
15Sam CarrickWolves (CAR)C132574120221719101510.53%113610.480222230000190151.48%16900001.0301000110
16Paul CotterWolves (CAR)C19347-38032253213279.38%219410.2600021000010050.24%21100000.7200000000
17Alec RegulaHurricanesD100550603714114100.00%2023923.95011324000024000.00%000000.4200000000
18Sampo RantaWolves (CAR)LW15235-34049135615.38%3865.780000000000000.00%200001.1500000000
19Mason MillmanWolves (CAR)D10022-12151824130.00%915315.3900000000015000.00%000000.2600001000
20Simon HolmstromWolves (CAR)RW12011020476480.00%0836.9400000000000083.33%600000.2400000000
21Ostap SafinWolves (CAR)LW6011100113210.00%0172.9000000000000033.33%300001.1500000000
Statistiques d’équipe totales ou en moyenne3427413120541601043347670020849410.57%208560216.38132437129586224747812248.23%177700000.73390029119
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
1Alex StalockWolves (CAR)1711400.8933.8991140595510100.8005172120
2Mat RobsonWolves (CAR)52110.9431.992412081400010.5004217100
Statistiques d’équipe totales ou en moyenne2213510.9033.49115360676910110.66791919220


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
Adam BeckmanWolves (CAR)LW212001-05-10No182 Lbs6 ft2NoNoNo3Pro & Farm894,167$687,450$700,000$0$0$No894,167$894,167$Lien
Alex StalockWolves (CAR)G351987-07-28No170 Lbs5 ft11NoNoNo2Pro & Farm2,500,000$1,922,043$650,000$0$0$No2,500,000$Lien
Gustav OlofssonWolves (CAR)D271994-12-01No199 Lbs6 ft2NoNoNo4Pro & Farm700,000$538,172$674,000$0$0$No1,000,000$1,000,000$1,000,000$Lien
Hudson FaschingWolves (CAR)RW271995-07-28No204 Lbs6 ft3NoNoNo4Pro & Farm879,000$675,790$650,000$0$0$No950,000$950,000$950,000$Lien
Hunter SkinnerWolves (CAR)D212001-04-29No182 Lbs6 ft2NoNoNo2Pro & Farm925,000$711,155$925,000$0$0$No925,000$Lien
Jared McIsaacWolves (CAR)D222000-03-27No196 Lbs6 ft1NoNoNo2Pro & Farm896,667$689,373$896,667$0$0$No896,667$Lien
Jesper BoqvistWolves (CAR)C241998-10-30No180 Lbs6 ft0NoNoNo5Pro & Farm925,000$711,155$650,000$0$0$No1,600,000$1,600,000$1,600,000$1,600,000$Lien
Jordan HarrisWolves (CAR)D222000-07-07No179 Lbs5 ft11NoNoNo2Pro & Farm1,137,500$874,529$700,000$0$0$No1,137,500$Lien
Klim KostinWolves (CAR)C231999-05-05No215 Lbs6 ft3NoNoNo3Pro & Farm906,000$696,548$525,000$0$0$No906,000$906,000$Lien
Markus PhillipsWolves (CAR)D231999-03-21No202 Lbs6 ft0NoNoNo5Pro & Farm801,667$616,335$801,667$0$0$No944,000$944,000$944,000$944,000$Lien
Mason MillmanWolves (CAR)D212001-07-18No175 Lbs6 ft1NoNoNo2Pro & Farm870,000$668,870$870,000$0$0$No870,000$Lien
Mat RobsonWolves (CAR)G261996-03-26No190 Lbs6 ft3NoNoNo5Pro & Farm2,180,000$1,676,021$925,000$0$0$No1,098,000$1,098,000$1,098,000$1,098,000$Lien
Mikhail MaltsevWolves (CAR)LW241998-03-12No198 Lbs6 ft3NoNoNo4Pro & Farm839,000$645,037$809,168$0$0$No839,000$839,000$839,000$Lien
Ostap SafinWolves (CAR)LW231999-02-11No204 Lbs6 ft5NoNoNo5Pro & Farm879,167$675,918$879,167$0$0$No944,000$944,000$944,000$944,000$Lien
Owen TippettWolves (CAR)RW231999-02-16No207 Lbs6 ft1NoNoNo5Pro & Farm1,596,667$1,227,545$863,333$0$0$No2,250,000$2,250,000$2,250,000$2,250,000$Lien
Paul CotterWolves (CAR)C231999-11-16No206 Lbs6 ft1NoNoNo2Pro & Farm796,667$612,491$796,667$0$0$No796,667$Lien
Riley DamianiWolves (CAR)C222000-03-20No170 Lbs5 ft10NoNoNo2Pro & Farm891,667$685,528$891,667$0$0$No891,667$Lien
Sam CarrickWolves (CAR)C301992-02-04No200 Lbs6 ft0NoNoNo3Pro & Farm1,884,000$1,448,451$650,000$0$0$No1,375,000$1,375,000$Lien
Sampo RantaWolves (CAR)LW222000-05-31No195 Lbs6 ft2NoNoNo2Pro & Farm1,208,333$928,987$1,208,333$0$0$No1,208,333$Lien
Samuel ErssonWolves (CAR)G231999-10-20No176 Lbs6 ft2NoNoNo3Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$Lien
Simon HolmstromWolves (CAR)RW212001-05-24No183 Lbs6 ft1NoNoNo5Pro & Farm925,000$711,155$925,002$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$Lien
Sonny MilanoWolves (CAR)LW261996-05-12No194 Lbs6 ft0NoNoNo2Pro & Farm700,000$538,172$650,000$0$0$No700,000$Lien
Todd BurgessWolves (CAR)RW261996-04-03No178 Lbs6 ft2NoNoNo4Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$925,000$Lien
Yegor ChinakhovWolves (CAR)RW212001-02-01No189 Lbs6 ft1NoNoNo2Pro & Farm1,325,000$1,018,682$700,000$0$0$No1,325,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.00191 Lbs6 ft13.251,104,604$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny Milano30122
2Mikhail MaltsevSam CarrickHudson Fasching30122
3Adam BeckmanKlim KostinSimon Holmstrom24122
4Sampo RantaRiley DamianiPaul Cotter16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisJared McIsaac30122
2Hunter SkinnerGustav Olofsson30122
3Markus PhillipsMason Millman24122
4Jordan HarrisJared McIsaac16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny Milano50122
2Mikhail MaltsevSam CarrickHudson Fasching50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisJared McIsaac50122
2Hunter SkinnerGustav Olofsson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sonny Milano50122
2Sam Carrick50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisJared McIsaac50122
2Hunter SkinnerGustav Olofsson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sonny Milano50122Jordan HarrisJared McIsaac50122
250122Hunter SkinnerGustav Olofsson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sonny Milano50122
2Sam Carrick50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisJared McIsaac50122
2Hunter SkinnerGustav Olofsson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoJordan HarrisJared McIsaac
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoJordan HarrisJared McIsaac
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Cotter, Klim Kostin, Adam BeckmanPaul Cotter, Klim KostinAdam Beckman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Phillips, Mason Millman, Hunter SkinnerMarkus PhillipsMason Millman, Hunter Skinner
Tirs de pénalité
Sonny Milano, , , Sam Carrick, Mikhail Maltsev
Gardien
#1 : Alex Stalock, #2 : Mat Robson
Lignes d’attaque personnalisées en prolongation
Sonny Milano, , , Sam Carrick, Mikhail Maltsev, Hudson Fasching, Hudson Fasching, Klim Kostin, Adam Beckman, Riley Damiani, Paul Cotter
Lignes de défense personnalisées en prolongation
Jordan Harris, Jared McIsaac, Hunter Skinner, Gustav Olofsson, Markus Phillips


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
1Bears4310000015123220000008532110000077060.7501528430028212351432622072221813845518719421.05%21385.71%234370448.72%34572447.65%16933051.21%438300472143243118
2Comets3100100113121100010004312100000199050.8331323360028212351122622072221810936186615320.00%8187.50%034370448.72%34572447.65%16933051.21%438300472143243118
3Monsters3210000011110110000005322110000068-240.66711182900282123590262207222181033728726116.67%13284.62%034370448.72%34572447.65%16933051.21%438300472143243118
4Phantoms211000006511010000024-21100000041320.50061117002821235662622072221880222946500.00%11190.91%034370448.72%34572447.65%16933051.21%438300472143243118
5Rockets1010000035-2000000000001010000035-200.000369102821235372622072221835111224300.00%5180.00%034370448.72%34572447.65%16933051.21%438300472143243118
6Thunderbirds1010000025-31010000025-30000000000000.0002350028212353426220722218448629200.00%20100.00%034370448.72%34572447.65%16933051.21%438300472143243118
7W-B/Scranton Penguins21000010972110000005411000001043141.00091423002821235682622072221882201451600.00%7185.71%034370448.72%34572447.65%16933051.21%438300472143243118
8Wolf Pack10001000761100010007610000000000021.00071118002821235602622072221836132224250.00%000.00%034370448.72%34572447.65%16933051.21%438300472143243118
9islanders22000000963110000005321100000043141.000917260028212359026220722218651663611327.27%20100.00%034370448.72%34572447.65%16933051.21%438300472143243118
Total191050201175696952020003833510530001137361270.7117513120610282123570026220722218692208166433711318.31%69986.96%234370448.72%34572447.65%16933051.21%438300472143243118
_Since Last GM Reset191050201175696952020003833510530001137361270.7117513120610282123570026220722218692208166433711318.31%69986.96%234370448.72%34572447.65%16933051.21%438300472143243118
_Vs Conference181040201173649851020003628810530001137361270.7507312820110282123566626220722218648200160404691318.84%67986.57%234370448.72%34572447.65%16933051.21%438300472143243118
_Vs Division171030201170591185102000362889520001134313270.7947012219200282123562926220722218613189148380661319.70%62887.10%234370448.72%34572447.65%16933051.21%438300472143243118

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1927W37513120670069220816643310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1910520117569
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95220003833
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105300113736
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
711318.31%69986.96%2
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
262207222182821235
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
34370448.72%34572447.65%16933051.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
438300472143243118


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 - 2022-10-161Wolves3Bears2AWSommaire du match
4 - 2022-10-1926Phantoms4Wolves2BLSommaire du match
5 - 2022-10-2039Wolves4W-B/Scranton Penguins3AWXXSommaire du match
7 - 2022-10-2255W-B/Scranton Penguins4Wolves5BWSommaire du match
11 - 2022-10-2677Bears2Wolves3BWSommaire du match
15 - 2022-10-30101islanders3Wolves5BWSommaire du match
16 - 2022-10-31113Wolves1Monsters5ALSommaire du match
20 - 2022-11-04134Wolves5Monsters3AWSommaire du match
21 - 2022-11-05145Comets3Wolves4BWXSommaire du match
23 - 2022-11-07157Wolves4Bears5ALSommaire du match
25 - 2022-11-09174Wolf Pack6Wolves7BWXSommaire du match
29 - 2022-11-13196Thunderbirds5Wolves2BLSommaire du match
31 - 2022-11-15211Wolves3Rockets5ALSommaire du match
33 - 2022-11-17219Wolves4islanders3AWSommaire du match
36 - 2022-11-20236Wolves4Phantoms1AWSommaire du match
37 - 2022-11-21248Wolves5Comets6ALXXSommaire du match
39 - 2022-11-23267Monsters3Wolves5BWSommaire du match
40 - 2022-11-24279Bears3Wolves5BWSommaire du match
43 - 2022-11-27299Wolves4Comets3AWSommaire du match
45 - 2022-11-29308Texas Stars-Wolves-
49 - 2022-12-03332Firebirds-Wolves-
51 - 2022-12-05353Wolves-Barracuda-
52 - 2022-12-06364Comets-Wolves-
55 - 2022-12-09381Wolves-islanders-
58 - 2022-12-12397Rockets-Wolves-
60 - 2022-12-14411Wolves-Wolf Pack-
61 - 2022-12-15418Wolves-Rockets-
63 - 2022-12-17434Wolves-Binghamton Senateurs-
64 - 2022-12-18439Wolf Pack-Wolves-
66 - 2022-12-20465Checkers-Wolves-
70 - 2022-12-24484Wolves-Phantoms-
73 - 2022-12-27490Wolves-W-B/Scranton Penguins-
74 - 2022-12-28504Crunch-Wolves-
78 - 2023-01-01531Iowa Wild-Wolves-
80 - 2023-01-03546Wolves-Monsters-
84 - 2023-01-07564Canucks-Wolves-
86 - 2023-01-09581Wolves-Griffins-
87 - 2023-01-10592Eagles-Wolves-
91 - 2023-01-14615Wolves-W-B/Scranton Penguins-
92 - 2023-01-15628islanders-Wolves-
94 - 2023-01-17649Wolves-islanders-
95 - 2023-01-18660Condors-Wolves-
99 - 2023-01-22676Wolves-Marlies-
100 - 2023-01-23693Bears-Wolves-
102 - 2023-01-25715Wolves-Moose-
103 - 2023-01-26724W-B/Scranton Penguins-Wolves-
106 - 2023-01-29746Wolves-Providence Bruins-
107 - 2023-01-30755islanders-Wolves-
109 - 2023-02-01779Binghamton Senateurs-Wolves-
112 - 2023-02-04792Wolves-Americans-
114 - 2023-02-06806Wolves-Marlies-
115 - 2023-02-07819Monsters-Wolves-
118 - 2023-02-10832Wolves-Wolf Pack-
121 - 2023-02-13852Wolf Pack-Wolves-
122 - 2023-02-14866Wolves-Silver Knights-
126 - 2023-02-18885Comets-Wolves-
128 - 2023-02-20899Wolves-Gulls-
129 - 2023-02-21911Wolves-Roadrunners-
130 - 2023-02-22920Monsters-Wolves-
132 - 2023-02-24940Wolves-Crunch-
135 - 2023-02-27953Marlies-Wolves-
137 - 2023-03-01969Wolves-Phantoms-
139 - 2023-03-03985Griffins-Wolves-
144 - 2023-03-081010IceHogs-Wolves-
147 - 2023-03-111037Thunderbirds-Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131053Wolves-Comets-
150 - 2023-03-141063Wolves-Admirals-
152 - 2023-03-161076Checkers-Wolves-
153 - 2023-03-171087Wolves-Reign-
157 - 2023-03-211102Wolves-Checkers-
158 - 2023-03-221115Marlies-Wolves-
162 - 2023-03-261140Providence Bruins-Wolves-
164 - 2023-03-281154Wolves-Wranglers-
165 - 2023-03-291169Americans-Wolves-
167 - 2023-03-311184Wolves-Bears-
170 - 2023-04-031201Condors-Wolves-
171 - 2023-04-041212Wolves-Texas Stars-
175 - 2023-04-081236Wolves-Wolf Pack-
176 - 2023-04-091240Phantoms-Wolves-
180 - 2023-04-131268Phantoms-Wolves-
183 - 2023-04-161294W-B/Scranton Penguins-Wolves-
184 - 2023-04-171305Wolves-Texas Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3518
Assistance13,1026,339
Assistance PCT72.79%70.43%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2160 - 72.00% 94,809$853,282$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,651,052$ 1,874,068$ 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
3,033,892$ 143 14,253$ 2,038,179$




Wolves 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

Wolves 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

Wolves 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

Wolves 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

Wolves 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