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Hartford Wolf Pack
GP: 11 | W: 5 | L: 6
GF: 43 | GA: 46 | PP%: 22.86% | PK%: 71.79%
DG: Stefan | Morale : 35 | Moyenne d’équipe : 58
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Centre de jeu
Charlotte Checkers
16-5-0, 32pts
4
FINAL
3 Hartford Wolf Pack
5-6-0, 10pts
Team Stats
W3SéquenceL1
10-2-0Fiche domicile4-1-0
6-3-0Fiche domicile1-5-0
6-3-1Derniers 10 matchs4-4-2
3.95Buts par match 3.91
3.00Buts contre par match 4.18
30.38%Pourcentage en avantage numérique22.86%
77.78%Pourcentage en désavantage numérique71.79%
Hartford Wolf Pack
5-6-0, 10pts
2
FINAL
3 Charlotte Checkers
16-5-0, 32pts
Team Stats
L1SéquenceW3
4-1-0Fiche domicile10-2-0
1-5-0Fiche domicile6-3-0
4-4-2Derniers 10 matchs6-3-1
3.91Buts par match 3.95
4.18Buts contre par match 3.00
22.86%Pourcentage en avantage numérique30.38%
71.79%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Buts
Jonny Brodzinski
9
Passes
Zac Jones
10
Points
Jonny Brodzinski
17
Plus/Moins
Jonny Brodzinski
8
Victoires
Louis Domingue
4
Pourcentage d’arrêts
Talyn Boyko
0.938

Statistiques d’équipe
Buts pour
43
3.91 GFG
Tirs pour
421
38.27 Avg
Pourcentage en avantage numérique
22.9%
8 GF
Début de zone offensive
41.2%
Buts contre
46
4.18 GAA
Tirs contre
453
41.18 Avg
Pourcentage en désavantage numérique
71.8%%
11 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralStefan
EntraîneurKris Knoblauch
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,992
Billets de saison0


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 70
Espoirs16


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Alex Belzile0XX100.00616073636961596064636166546661055630331775,000$
2Riley Nash0X100.00605173636466696263636165587564061630351775,000$
3Anton Blidh0XX100.00665172606963625853625865546259061620291775,000$
4Jonny Brodzinski0X100.00565468627162616059616064586760061620311775,000$
5Jake Leschyshyn0X100.00684483617459635573645764545657061610251775,000$
6Turner Elson0X100.00555865606368666155596062557062061610321775,000$
7Bryce McConnell-Barker (R)0X100.00606060606060606060606060606060064600201775,000$
8Will Cuylle0XX100.00555762606563625955576060585453058590224800,000$
9Bobby Trivigno0X100.00555467585362615755575662545855061580251775,000$
10Tristan Mullin0XXX100.00555567556559585555555561546358062570281775,000$
11Connor MacKey0X100.006773726972686258406759735457580616502811,850,000$
12Ben Harpur0X100.00677180588566645540665675546158061640291775,000$
13Zac Jones0X100.005653696160656158406057655556540616002431,100,000$
14Brandon Scanlin0X100.00555567577063625540555564545855061590251775,000$
15Mac Hollowell0X100.00575368586061585740615463545956062590261775,000$
16Matthew Robertson0X100.00555665606765635740575560545553064590231775,000$
17Nikolas Brouillard0X100.00575559615267676040595757546559061590291775,000$
18Blake Hillman0X100.00555467566360595540555461546358061570281775,000$
Rayé
1Karl Henriksson0X100.00515264545465625452535458515250025550231775,000$
2Matt Rempe0X100.00545159537461605352525357515149025550221775,000$
3Adam Edstrom0X100.00515165517151515152515157515451025530241775,000$
4Adam Sykora0X100.00515165515451515152515157514848025520201775,000$
5Brett Berard0X100.00515165515251515152515157515149025520221775,000$
6Ryder Korczak0X100.00515165525552525167515156515149025520221775,000$
7Zach Berzolla0X100.00555468546555555440545461546056025560261775,000$
8Grant Gabriele0X100.00515165516251515138515159515853025530271775,000$
9Matthew Cairns0X100.00515165516451515138515159515652025530261775,000$
MOYENNE D’ÉQUIPE100.0057556757646059565057566254595504958
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
1Louis Domingue0100.0061656569676167645960617363038640321775,000$
2Talyn Boyko0100.0060606060606060606060606060068600221775,000$
Rayé
1Dylan Garand0100.0058606060635963605658595351038590221775,000$
2Olof Lindbom0100.0051515164615161515252625350038540241775,000$
MOYENNE D’ÉQUIPE100.005859596363586359575861605604659
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kris Knoblauch66666970666283CAN437500,000$


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
1Jonny BrodzinskiHartford Wolf Pack (NYR)C11981784020364664019.57%424021.8530310270000291050.00%39800001.4100000400
2Riley NashHartford Wolf Pack (NYR)C116713-120112843114613.95%225723.441235290000292051.01%29800001.0100000001
3Zac JonesHartford Wolf Pack (NYR)D112101288019182211119.09%2222020.031451029000027000%000001.0900000000
4Tristan MullinHartford Wolf Pack (NYR)C/LW/RW11561185520172691919.23%221119.23123427000020123.08%1300001.0400001021
5Alex BelzileHartford Wolf Pack (NYR)LW/RW11551002210162538173113.16%323721.550113260000261054.55%5500100.8400001100
6Ben HarpurHartford Wolf Pack (NYR)D11189-16014151810205.56%1623821.69033928000030000%000000.7500000000
7Connor MacKeyHartford Wolf Pack (NYR)D11369-1803629367228.33%1923621.502021728000028100%000000.7600000100
8Will CuylleHartford Wolf Pack (NYR)LW/RW11369815520234212227.14%021019.11022927000000042.86%1400000.8600010010
9Anton BlidhHartford Wolf Pack (NYR)LW/RW11347010025223615238.33%222420.420008300000240061.11%1800000.6200000000
10Matthew RobertsonHartford Wolf Pack (NYR)D110778952413125110%1422120.17011728000028000%000000.6300100011
11Blake HillmanHartford Wolf Pack (NYR)D11033120443220%6736.700000100000000%000000.8100000000
12Mac HollowellHartford Wolf Pack (NYR)D111231556555320.00%3746.760000000002000%000000.8100001000
13Turner ElsonHartford Wolf Pack (NYR)C11303-620142425121912.00%317515.9800002000000047.39%21100000.3400000000
14Bryce McConnell-BarkerHartford Wolf Pack (NYR)C11123-760269138157.69%018116.5100000000090050.00%2800000.3300000000
15Jake LeschyshynHartford Wolf Pack (NYR)C11112-9001819303223.33%520018.2400000000020066.67%6000000.2000000000
16Brandon ScanlinHartford Wolf Pack (NYR)D11011-8401559130%1215113.7300001000010000%000000.1300000000
17Nikolas BrouillardHartford Wolf Pack (NYR)D11011-84016710480%914313.090001300000000%000000.1400000000
18Bobby TrivignoHartford Wolf Pack (NYR)C11011-100107130%0272.4900025000000075.00%400000.7300000000
Statistiques d’équipe totales ou en moyenne198437812101123030529942113932010.21%122332716.81815238530000002535150.77%109900100.7300113643
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
1Louis DomingueHartford Wolf Pack (NYR)114420.8944.22611404340501000110000
2Talyn BoykoHartford Wolf Pack (NYR)21000.9382.73660034800000011010
Statistiques d’équipe totales ou en moyenne135420.8984.07678404645301001111010


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam EdstromHartford Wolf Pack (NYR)C2412.10.2000No102 Kg203 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Adam SykoraHartford Wolf Pack (NYR)C2007.09.2004No78 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Alex BelzileHartford Wolf Pack (NYR)LW/RW3331.08.1991No89 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien / Lien NHL
Anton BlidhHartford Wolf Pack (NYR)LW/RW2914.03.1995No90 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ben HarpurHartford Wolf Pack (NYR)D2912.01.1995No105 Kg198 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Blake HillmanHartford Wolf Pack (NYR)D2826.01.1996No88 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Bobby TrivignoHartford Wolf Pack (NYR)C2519.01.1999No73 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Brandon ScanlinHartford Wolf Pack (NYR)D2502.06.1999No97 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Brett BerardHartford Wolf Pack (NYR)C2209.09.2002No75 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Bryce McConnell-BarkerHartford Wolf Pack (NYR)C2004.06.2004Yes88 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Connor MacKeyHartford Wolf Pack (NYR)D2812.09.1996No90 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,850,000$1,850,000$0$0$No------------------Lien / Lien NHL
Dylan GarandHartford Wolf Pack (NYR)G2207.06.2002No78 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Grant GabrieleHartford Wolf Pack (NYR)D2717.04.1997No89 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Jake LeschyshynHartford Wolf Pack (NYR)C2510.03.1999No89 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Jonny BrodzinskiHartford Wolf Pack (NYR)C3119.06.1993No96 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Karl HenrikssonHartford Wolf Pack (NYR)C2305.02.2001No80 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Louis DomingueHartford Wolf Pack (NYR)G3206.03.1992No94 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Mac HollowellHartford Wolf Pack (NYR)D2626.09.1998No77 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Matt RempeHartford Wolf Pack (NYR)C2229.06.2002No109 Kg203 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Matthew CairnsHartford Wolf Pack (NYR)D2627.04.1998No92 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Matthew RobertsonHartford Wolf Pack (NYR)D2309.03.2001No91 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nikolas BrouillardHartford Wolf Pack (NYR)D2907.02.1995No68 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Olof LindbomHartford Wolf Pack (NYR)G2423.07.2000No83 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Riley NashHartford Wolf Pack (NYR)C3509.05.1989No85 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ryder KorczakHartford Wolf Pack (NYR)C2223.09.2002No78 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Talyn BoykoHartford Wolf Pack (NYR)G2216.10.2002No91 Kg203 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Tristan MullinHartford Wolf Pack (NYR)C/LW/RW2809.10.1996No89 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Turner ElsonHartford Wolf Pack (NYR)C3213.09.1992No87 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Will CuylleHartford Wolf Pack (NYR)LW/RW2205.02.2002No96 Kg191 CMNoNoN/ANoNo4FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$------NoNoNo------Lien
Zac JonesHartford Wolf Pack (NYR)D2418.10.2000No81 Kg178 CMNoNoN/ANoNo3FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$1,100,000$-------NoNo-------Lien
Zach BerzollaHartford Wolf Pack (NYR)D2628.05.1998No89 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.9488 Kg185 CM1.16820,968$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BelzileRiley NashAnton Blidh33122
2Will CuylleJonny BrodzinskiTristan Mullin30122
3Jake LeschyshynTurner ElsonBryce McConnell-Barker25122
4Alex BelzileJake LeschyshynRiley Nash12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MacKeyBen Harpur33122
2Zac JonesMatthew Robertson30122
3Nikolas BrouillardBrandon Scanlin25122
4Mac HollowellBlake Hillman12122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BelzileRiley NashAnton Blidh50122
2Will CuylleJonny BrodzinskiTristan Mullin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MacKeyBen Harpur50122
2Zac JonesMatthew Robertson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex BelzileRiley Nash50122
2Jonny BrodzinskiAnton Blidh50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MacKeyBen Harpur50122
2Zac JonesMatthew Robertson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Belzile50122Connor MacKeyBen Harpur50122
2Riley Nash50122Zac JonesMatthew Robertson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex BelzileRiley Nash50122
2Jonny BrodzinskiAnton Blidh50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MacKeyBen Harpur50122
2Zac JonesMatthew Robertson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex BelzileRiley NashAnton BlidhConnor MacKeyBen Harpur
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex BelzileRiley NashAnton BlidhConnor MacKeyBen Harpur
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bobby Trivigno, Turner Elson, Bryce McConnell-BarkerBobby Trivigno, Turner ElsonBryce McConnell-Barker
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolas Brouillard, Brandon Scanlin, Mac HollowellNikolas BrouillardBrandon Scanlin, Mac Hollowell
Tirs de pénalité
Alex Belzile, Riley Nash, Jonny Brodzinski, Anton Blidh, Turner Elson
Gardien
#1 : Louis Domingue, #2 : Talyn Boyko
Lignes d’attaque personnalisées en prolongation
Alex Belzile, Riley Nash, Jonny Brodzinski, Anton Blidh, Turner Elson, Jake Leschyshyn, Jake Leschyshyn, Bryce McConnell-Barker, Will Cuylle, Bobby Trivigno, Tristan Mullin
Lignes de défense personnalisées en prolongation
Connor MacKey, Ben Harpur, Zac Jones, Matthew Robertson, Nikolas Brouillard


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
1Belleville Senators64200000272433300000015105312000001214-280.6672750770018159124912213815011268746615823626.09%22577.27%021745347.90%23743854.11%10420850.00%2561692678715576
2Charlotte Checkers514000001622-62110000087130300000815-720.2001628440018159117212213815011185485014712216.67%17664.71%021745347.90%23743854.11%10420850.00%2561692678715576
Total1156000004346-35410000023176615000002029-9100.4554378121001815914211221381501145312211630535822.86%391171.79%021745347.90%23743854.11%10420850.00%2561692678715576
_Since Last GM Reset1156000004346-35410000023176615000002029-9100.4554378121001815914211221381501145312211630535822.86%391171.79%021745347.90%23743854.11%10420850.00%2561692678715576
_Vs Conference1156000004346-35410000023176615000002029-9100.4554378121001815914211221381501145312211630535822.86%391171.79%021745347.90%23743854.11%10420850.00%2561692678715576

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1110L1437812142145312211630500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
115600004346
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
54100002317
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61500002029
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
35822.86%391171.79%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
12213815011181591
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
21745347.90%23743854.11%10420850.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2561692678715576


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
13Hartford Wolf Pack4Belleville Senators2WSommaire du match
311Hartford Wolf Pack5Belleville Senators6LXSommaire du match
519Belleville Senators2Hartford Wolf Pack5WSommaire du match
727Belleville Senators3Hartford Wolf Pack4WXSommaire du match
935Hartford Wolf Pack3Belleville Senators6LSommaire du match
1143Belleville Senators5Hartford Wolf Pack6WSommaire du match
1557Hartford Wolf Pack2Charlotte Checkers5LSommaire du match
1761Hartford Wolf Pack4Charlotte Checkers7LSommaire du match
1965Charlotte Checkers3Hartford Wolf Pack5WSommaire du match
2169Charlotte Checkers4Hartford Wolf Pack3LXSommaire du match
2373Hartford Wolf Pack2Charlotte Checkers3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance9,9605,000
Assistance PCT99.60%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 2992 - 99.73% 84,720$423,600$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,545,000$ 2,545,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Hartford Wolf Pack Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Hartford 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

Hartford 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

Hartford Wolf Pack Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Hartford 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