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Wolf Pack
GP: 6 | W: 2 | L: 4
GF: 13 | GA: 17 | PP%: 5.56% | PK%: 84.62%
DG: Interim - Rangers | Morale : 74 | Moyenne d’équipe : 68

Centre de jeu
Senators
7-6-0, 14pts
3
4 Wolf Pack
2-4-0, 4pts
Team Stats
L4SéquenceL1
5-2-0Fiche domicile2-1-0
2-4-0Fiche domicile0-3-0
5-4-1Derniers 10 matchs2-4-0
2.54Buts par match 2.17
2.38Buts contre par match 2.83
15.00%Pourcentage en avantage numérique5.56%
85.71%Pourcentage en désavantage numérique84.62%
Wolf Pack
2-4-0, 4pts
0
3 Senators
7-6-0, 14pts
Team Stats
L1SéquenceL4
2-1-0Fiche domicile5-2-0
0-3-0Fiche domicile2-4-0
2-4-0Derniers 10 matchs5-4-1
2.17Buts par match 2.54
2.83Buts contre par match 2.38
5.56%Pourcentage en avantage numérique15.00%
84.62%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Seth GriffithButs
Seth Griffith
3
Byron FroesePasses
Byron Froese
4
Seth GriffithPoints
Seth Griffith
5
Jonny BrodzinskiPlus/Moins
Jonny Brodzinski
2
Pheonix CopleyVictoires
Pheonix Copley
2
Pheonix CopleyPourcentage d’arrêts
Pheonix Copley
0.909

Statistiques d’équipe
Buts pour
13
2.17 GFG
Tirs pour
162
27.00 Avg
Pourcentage en avantage numérique
5.6%
1 GF
Début de zone offensive
39.3%
Buts contre
17
2.83 GAA
Tirs contre
186
31.00 Avg
Pourcentage en désavantage numérique
84.6%%
4 GA
Début de la zone défensive
42.7%
Informations de l'équipe

Directeur généralInterim - Rangers
DivisionNord
ConférenceEst Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison3,000


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs14


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
1Emil Bemstrom (R)0X100.00673094827379877156706862706464079690271775,000$
2Trey Fix-Wolansky (R)0X100.00633080786686897158697164686666079690271775,000$
3Seth Griffith0XX100.00603081716786877073686865657071079680331550,000$
4Byron Froese0XX100.00703076727887876678626568697879079680351550,000$
5Jonny Brodzinski0XX100.00633086737885856475656771646973079680331775,000$
6Kyle Rau0XX100.00643083756185826880646568657069079670331775,000$
7Nic Petan0XXX100.00513092796282886874706365666769079670311775,000$
8Jansen Harkins0XX100.00693084706880876872646869686663079670291775,000$
9Timothy Gettinger0X100.00853087759379836250636068606668079670281550,000$
10Cooper Marody0XX100.00623083766785856880676665646769079670291775,000$
11Liam O'Brien0XX100.00993044678279776070625874606971079660321775,000$
12Anton Blidh0XX100.00803073707380806450636273656868079660312775,000$
13Denton Mateychuk (R)0X100.00673086736987896830696081506165079710223886,666$
14Isaak Phillips (R)0X100.00823081747481846430565780506365079700241775,000$
15William Lagesson0X100.00753079728279806030625570506769079680302775,000$
16Scott Harrington0X100.00753088707682815830575173307071079670331550,000$
17Casey Fitzgerald0X100.00783074727081776330595075506566079670291775,000$
18Michael Buchinger (R)0X100.00743083636872764630474060455153079580223838,333$
Rayé
1Artem Grushnikov (R)0X100.00753081627873785430443964405255062600232814,167$
MOYENNE D’ÉQUIPE100.0072308172738183645462606958666707867
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
1Clay Stevenson (R)0100.0077848085767577767577766665080750271775,000$
2Pheonix Copley0100.0077817687767577767577767377080750341775,000$
Rayé
MOYENNE D’ÉQUIPE100.007783788676757776757776707108075
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
1Seth GriffithWolf Pack (NYR)C/RW632510021137723.08%09215.39000117000020022.22%900001.0800000020
2Byron FroeseWolf Pack (NYR)C/RW60441405762100%08414.10000110000120053.49%8600000.9500000000
3Kyle RauWolf Pack (NYR)C/LW6224120791551113.33%08914.87000416000010050.00%400000.9000000001
4Jonny BrodzinskiWolf Pack (NYR)C/RW6123260521146127.14%212520.920003160000250049.72%17700000.4800000000
5Emil BemstromWolf Pack (NYR)RW6123-400712162106.25%08814.75101517000000066.67%300000.6800000000
6Trey Fix-WolanskyWolf Pack (NYR)RW612322063219184.76%110317.27011518000000030.00%1000000.5800000000
7Denton MateychukWolf Pack (NYR)D6033-3005710370%1413622.78000519000022000%000000.4400000000
8Nic PetanWolf Pack (NYR)C/LW/RW6112-4000794711.11%08313.96000314000001060.00%500000.4800000010
9Jansen HarkinsWolf Pack (NYR)C/LW611226010614557.14%010016.7200051600000000%500000.4000000000
10William LagessonWolf Pack (NYR)D6022-3401737040%711419.1300051400005000%000000.3500000000
11Isaak PhillipsWolf Pack (NYR)D611214011361516.67%611318.9400000000019010%000000.3500000100
12Liam O'BrienWolf Pack (NYR)C/LW610108014241525.00%06110.2400000000160055.56%6300000.3300000001
13Anton BlidhWolf Pack (NYR)LW/RW60110000252120%06911.57000000000130060.00%500000.2900000000
14Cooper MarodyWolf Pack (NYR)C/RW6011-4807783120%08914.84011218000000050.48%10500000.2200000000
15Casey FitzgeraldWolf Pack (NYR)D60111401232120%911619.4300003000020000%000000.1700000000
16Michael BuchingerWolf Pack (NYR)D61011405022050.00%29415.830000000001100%000000.2100000000
17Scott HarringtonWolf Pack (NYR)D6000100643210%511419.0800000000022000%00000000000000
18Timothy GettingerWolf Pack (NYR)LW6000000337440%18614.35000000000300050.00%60000000000000
Statistiques d’équipe totales ou en moyenne108132538-5520122100162591328.02%47176516.341233917300011852150.21%47800000.4300000132
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
1Pheonix CopleyWolf Pack (NYR)62400.9092.8435900171860000060100
Statistiques d’équipe totales ou en moyenne62400.9092.843590017186000060100


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Anton BlidhWolf Pack (NYR)LW/RW311995-03-14SWENo201 Lbs6 ft0NoNoFree AgentNoNo22025-12-08FalseFalsePro & Farm775,000$73,810$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Artem GrushnikovWolf Pack (NYR)D232003-03-20RUSYes203 Lbs6 ft1NoNoProspectNoNo22024-06-26FalseFalsePro & Farm814,167$77,540$0$0$No814,167$--------814,167$--------No--------Lien / Lien NHL
Byron FroeseWolf Pack (NYR)C/RW351991-03-12CANNo202 Lbs6 ft1NoNoFree AgentNoNo12025-12-08FalseFalseFarm Only550,000$52,381$0$0$No---------------------------Lien / Lien NHL
Casey FitzgeraldWolf Pack (NYR)D291997-02-25USANo188 Lbs5 ft11NoNoFree AgentNoNo12024-12-02FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Clay StevensonWolf Pack (NYR)G271999-03-03CANYes195 Lbs6 ft4NoNoFree AgentNoNo12024-12-02FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Cooper MarodyWolf Pack (NYR)C/RW291996-12-20USANo184 Lbs6 ft0NoNoFree AgentNoNo12026-04-19FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Denton MateychukWolf Pack (NYR)D222004-07-12CANYes185 Lbs5 ft11NoNoProspectNoNo32025-09-22FalseFalsePro & Farm886,666$84,444$0$0$No886,666$886,666$-------886,666$886,666$-------NoNo-------Lien / Lien NHL
Emil BemstromWolf Pack (NYR)RW271999-06-01SWEYes193 Lbs6 ft0NoNoFree AgentNoNo12026-04-19FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Isaak PhillipsWolf Pack (NYR)D242001-09-28CANYes193 Lbs6 ft3NoNoFree AgentNoNo12025-10-27FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Jansen HarkinsWolf Pack (NYR)C/LW291997-05-23USANo197 Lbs6 ft2NoNoFree AgentNoNo12025-12-08FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Jonny BrodzinskiWolf Pack (NYR)C/RW331993-06-19USANo211 Lbs6 ft1NoNoFree AgentNoNo12026-04-07FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Kyle RauWolf Pack (NYR)C/LW331992-10-24USANo176 Lbs5 ft8NoNoFree AgentNoNo12024-07-02FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Liam O'BrienWolf Pack (NYR)C/LW321994-07-29CANNo213 Lbs6 ft1NoNoFree AgentNoNo12026-04-07FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Michael BuchingerWolf Pack (NYR)D222004-04-25CANYes178 Lbs5 ft11NoNoProspectNoNo32025-09-22FalseFalsePro & Farm838,333$79,841$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien / Lien NHL
Nic PetanWolf Pack (NYR)C/LW/RW311995-03-22CANNo175 Lbs5 ft9NoNoFree AgentNoNo12025-12-08FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Pheonix CopleyWolf Pack (NYR)G341992-01-18USANo200 Lbs6 ft4NoNoFree AgentNoNo12024-12-02FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
Scott HarringtonWolf Pack (NYR)D331993-03-10CANNo204 Lbs6 ft2NoNoFree AgentNoNo12026-04-08FalseFalseFarm Only550,000$52,381$0$0$No---------------------------Lien / Lien NHL
Seth GriffithWolf Pack (NYR)C/RW331993-01-04CANNo190 Lbs5 ft9NoNoFree AgentNoNo12025-12-08FalseFalseFarm Only550,000$52,381$0$0$No---------------------------Lien / Lien NHL
Timothy GettingerWolf Pack (NYR)LW281998-04-14USANo220 Lbs6 ft6NoNoFree AgentYesNo12026-04-19FalseFalseFarm Only550,000$52,381$0$0$No---------------------------Lien / Lien NHL
Trey Fix-WolanskyWolf Pack (NYR)RW271999-05-26CANYes191 Lbs5 ft7NoNoFree AgentNoNo12024-06-28FalseFalsePro & Farm775,000$73,810$0$0$No---------------------------Lien / Lien NHL
William LagessonWolf Pack (NYR)D301996-02-22SWENo211 Lbs6 ft2NoNoFree AgentNoNo22025-12-08FalseFalsePro & Farm775,000$73,810$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.14196 Lbs6 ft01.33742,341$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jansen HarkinsJonny BrodzinskiTrey Fix-Wolansky30122
2Nic PetanCooper MarodyEmil Bemstrom25122
3Kyle RauByron FroeseSeth Griffith25122
4Timothy GettingerLiam O'BrienAnton Blidh20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonDenton Mateychuk34122
2Casey FitzgeraldScott Harrington33122
3Isaak PhillipsMichael Buchinger33122
4Isaak PhillipsMichael Buchinger0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Seth GriffithCooper MarodyTrey Fix-Wolansky60122
2Kyle RauJonny BrodzinskiJansen Harkins40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil BemstromDenton Mateychuk60122
2Nic PetanWilliam Lagesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiTimothy Gettinger60122
2Byron FroeseAnton Blidh40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsScott Harrington60122
2Casey FitzgeraldDenton Mateychuk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonny Brodzinski60122Isaak PhillipsScott Harrington60122
2Byron Froese40122Casey FitzgeraldDenton Mateychuk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cooper MarodyTrey Fix-Wolansky50122
2Seth GriffithEmil Bemstrom50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonDenton Mateychuk60122
2Casey FitzgeraldIsaak Phillips40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil BemstromCooper MarodyTrey Fix-WolanskySeth GriffithDenton Mateychuk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timothy GettingerJonny BrodzinskiAnton BlidhCasey FitzgeraldIsaak Phillips
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jansen Harkins, Kyle Rau, Liam O'BrienByron Froese, Timothy GettingerLiam O'Brien
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Michael Buchinger, Scott HarringtonCasey FitzgeraldWilliam Lagesson, Michael Buchinger
Tirs de pénalité
Emil Bemstrom, Trey Fix-Wolansky, Seth Griffith, Nic Petan, Byron Froese
Gardien
#1 : Pheonix Copley, #2 : Clay Stevenson
Lignes d’attaque personnalisées en prolongation
Trey Fix-Wolansky, Cooper Marody, Emil Bemstrom, Jonny Brodzinski, Jansen Harkins, Seth Griffith, Nic Petan, Byron Froese, Anton Blidh, Timothy Gettinger
Lignes de défense personnalisées en prolongation
Denton Mateychuk, Isaak Phillips, Casey Fitzgerald, William Lagesson, Scott Harrington


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
1Senators624000001317-43210000076130300000611-540.333132538006421162487439118647521221815.56%26484.62%09318849.47%10220450.00%458652.33%13694148467737
Total624000001317-43210000076130300000611-540.333132538006421162487439118647521221815.56%26484.62%09318849.47%10220450.00%458652.33%13694148467737
_Since Last GM Reset624000001317-43210000076130300000611-540.333132538006421162487439118647521221815.56%26484.62%09318849.47%10220450.00%458652.33%13694148467737
_Vs Conference624000001317-43210000076130300000611-540.333132538006421162487439118647521221815.56%26484.62%09318849.47%10220450.00%458652.33%13694148467737

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L1132538162186475212200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000076
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000611
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1815.56%26484.62%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
48743916421
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
9318849.47%10220450.00%458652.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13694148467737


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
14Senators1Wolf Pack2WSommaire du match
312Senators2Wolf Pack1LSommaire du match
520Wolf Pack3Senators4LSommaire du match
728Wolf Pack3Senators4LSommaire du match
936Senators3Wolf Pack4WXSommaire du match
1144Wolf Pack0Senators3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 3000 - 100.00% 126,650$379,950$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,558,917$ 1,558,917$ 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$ 4 0$ 0$




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

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 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

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