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OTHL - Wolf Pack 

Wolf Pack
GP: 82 | W: 1 | L: 80 | OTL: 1 | P: 3
GF: 143 | GA: 589 | PP%: 9.09% | PK%: 71.43%
DG: Daniel | Morale : 50 | Moyenne d'Équipe : 59
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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 PerliniXX100.0067439184795771652558566175646462506302541,500,000$
2Kevin RoyXX100.006961876061656662505960615745456250590281925,000$
3Caleb JonesX100.007143926771647961255050667559596050630232815,000$
4Ian McCoshenX100.0076806660807077472537406238505051505902511,025,000$
Rayé
MOYENNE D'ÉQUIPE100.00715784687364735931515263615555595061
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 SP
1Cory Schneider100.00506162805446505258507269705350570
2Charlie Lindgren100.00515873754853545852523046465350550
Rayé
MOYENNE D'ÉQUIPE100.0051606878515052555551515858535056
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent62467173534358CAN453900,000$


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
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


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Brendan PerliniWolf Pack (NYR)LW/RW251996-04-27No212 Lbs6 ft3NoNoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$Lien / Lien NHL
Caleb JonesWolf Pack (NYR)D231997-06-06No192 Lbs6 ft1NoNoNo2Pro & Farm815,000$0$0$No815,000$Lien / Lien NHL
Charlie LindgrenWolf Pack (NYR)G271993-12-17No190 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Cory SchneiderWolf Pack (NYR)G351986-03-18No200 Lbs6 ft3YesNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Ian McCoshenWolf Pack (NYR)D251995-08-05No217 Lbs6 ft3NoNoNo1Pro & Farm1,025,000$0$0$NoLien / Lien NHL
Kevin RoyWolf Pack (NYR)LW/RW281993-05-20No174 Lbs5 ft9NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
627.17198 Lbs6 ft21.831,027,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,


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
LigueDomicileVisiteur
# 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 Americans30300000330-2720200000219-1710100000111-1000.0003690066463103353458454601804516291300.00%10100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
2Admirals20200000318-1510100000211-91010000017-600.000369006646310345345845460135424187114.29%20100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
3Barracudas20200000320-1710100000111-101010000029-700.000369006646310435345845460136432255120.00%10100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
4Bears404000001627-1120200000913-420200000714-700.0001631470066463101345345845460233706887228.57%3166.67%0461140932.72%715243929.32%373137627.11%9866533112563822296
5Bruins30300000218-1620200000210-81010000008-800.0002460066463104553458454601404214391100.00%7357.14%0461140932.72%715243929.32%373137627.11%9866533112563822296
6Checkers40400000725-182020000049-520200000316-1300.000713200066463106553458454601795310547114.29%50100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
7Comets20200000018-1810100000011-111010000007-700.00000000664631017534584546099281423500.00%7357.14%0461140932.72%715243929.32%373137627.11%9866533112563822296
8Condors20200000016-161010000006-610100000010-1000.00000000664631016534584546010424616500.00%30100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
9Crunch30300000319-161010000007-720200000312-900.000369006646310515345845460187511944800.00%7271.43%0461140932.72%715243929.32%373137627.11%9866533112563822296
10Devils40400000531-2620200000317-1420200000214-1200.00059140066463104653458454602086315426116.67%5260.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
11Eagles20200000610-41010000035-21010000035-200.0006111700664631078534584546097318483133.33%4250.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
12Griffins30300000519-1420200000313-101010000026-400.00051015006646310715345845460174441349200.00%4250.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
13Gulls20200000017-171010000008-81010000009-900.000000006646310275345845460115301020400.00%5180.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
14Heat20200000315-1210100000310-71010000005-500.00036900664631024534584546010827419300.00%2150.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
15IceHogs20200000118-171010000017-610100000011-1100.000123006646310205345845460110301327600.00%40100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
16Marlies30300000323-2020200000317-141010000006-600.000369006646310245345845460133351022900.00%5180.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
17Monsters40400000631-2520200000316-1320200000315-1200.000611170066463104353458454602166612461119.09%70100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
18Moose20200000119-1810100000110-91010000009-900.0001120066463101753458454609417422800.00%20100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
19Penguins40400000633-2720200000318-1520200000315-1200.000612180066463108253458454602215316591317.69%7271.43%0461140932.72%715243929.32%373137627.11%9866533112563822296
20Phantoms40400000427-2320200000214-1220200000213-1100.00048120066463104953458454601463410361317.69%60100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
21Rampage 2110000078-1110000005231010000026-420.5007142100664631099534584546099338534125.00%3233.33%0461140932.72%715243929.32%373137627.11%9866533112563822296
22Reign20200000513-81010000026-41010000037-400.00051015006646310505345845460832319324125.00%7357.14%0461140932.72%715243929.32%373137627.11%9866533112563822296
23Roadrunners20200000914-51010000047-31010000057-200.00091827006646310695345845460107311749800.00%5260.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
24Rocket30300000323-201010000028-620200000115-1400.0003580066463104153458454601144410379111.11%5340.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
25Senators30300000616-101010000035-220200000311-800.000612180066463106253458454601244812556233.33%60100.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
26Sound Tigers404000001623-7202000001013-320200000610-400.00016324800664631016753458454602636514985240.00%6266.67%1461140932.72%715243929.32%373137627.11%9866533112563822296
27Stars202000001013-31010000045-11010000068-200.0001020300066463107553458454609331430700.00%220.00%0461140932.72%715243929.32%373137627.11%9866533112563822296
28Thunderbirds30300000224-221010000007-720200000217-1500.0002460066463104053458454601143012311417.14%6266.67%0461140932.72%715243929.32%373137627.11%9866533112563822296
29Wild2010010079-21010000023-11000010056-110.250714210066463101145345845460100226452150.00%3166.67%0461140932.72%715243929.32%373137627.11%9866533112563822296
30Wolves20200000112-111010000014-31010000008-800.00012300664631028534584546010019617400.00%3166.67%0461140932.72%715243929.32%373137627.11%9866533112563822296
Total8218000100143589-446411400000078292-214410400010065297-23230.01814327942200664631016645345845460421211743141173209199.09%1333871.43%1461140932.72%715243929.32%373137627.11%9866533112563822296
_Since Last GM Reset8218000100143589-446411400000078292-214410400010065297-23230.01814327942200664631016645345845460421211743141173209199.09%1333871.43%1461140932.72%715243929.32%373137627.11%9866533112563822296
_Vs Conference510510000084357-273250250000047178-131260260000037179-14200.00084163247006646310937534584546025517261877231261310.32%862373.26%1461140932.72%715243929.32%373137627.11%9866533112563822296
_Vs Division280260000060197-137140130000034100-6614013000002697-7100.00060116176006646310586534584546014664048342362914.52%39782.05%1461140932.72%715243929.32%373137627.11%9866533112563822296

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
823L16143279422166442121174314117300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
821800100143589
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41140000078292
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41040010065297
Derniers 10 Matchs
WLOTWOTL SOWSOL
0100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
209199.09%1333871.43%1
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
53458454606646310
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
461140932.72%715243929.32%373137627.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9866533112563822296


Derniers Match 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 - 2020-10-2510Moose10Wolf Pack1LSommaire du Match
4 - 2020-10-2726Wolf Pack1Senators6LSommaire du Match
11 - 2020-11-0371Condors6Wolf Pack0LSommaire du Match
16 - 2020-11-08103Wolf Pack1Devils6LSommaire du Match
17 - 2020-11-09112Wolf Pack5Bears9LSommaire du Match
19 - 2020-11-11127Comets11Wolf Pack0LSommaire du Match
21 - 2020-11-13141Roadrunners7Wolf Pack4LSommaire du Match
23 - 2020-11-15153 Americans10Wolf Pack1LSommaire du Match
26 - 2020-11-18174Bruins4Wolf Pack2LSommaire du Match
28 - 2020-11-20185Crunch7Wolf Pack0LSommaire du Match
32 - 2020-11-24213Wolf Pack1Admirals7LSommaire du Match
34 - 2020-11-26223Senators5Wolf Pack3LSommaire du Match
36 - 2020-11-28236Griffins8Wolf Pack2LSommaire du Match
37 - 2020-11-29238Wolf Pack1Checkers11LSommaire du Match
40 - 2020-12-02267Thunderbirds7Wolf Pack0LSommaire du Match
42 - 2020-12-04276Penguins8Wolf Pack2LSommaire du Match
44 - 2020-12-06292Wolf Pack2Crunch6LSommaire du Match
46 - 2020-12-08303Wolf Pack1Thunderbirds9LSommaire du Match
50 - 2020-12-12332Bears6Wolf Pack3LSommaire du Match
52 - 2020-12-14346Wolf Pack2Senators5LSommaire du Match
53 - 2020-12-15353Wolf Pack0Rocket6LSommaire du Match
55 - 2020-12-17370Wild3Wolf Pack2LSommaire du Match
57 - 2020-12-19384Checkers6Wolf Pack2LSommaire du Match
59 - 2020-12-21392Wolf Pack0Bruins8LSommaire du Match
60 - 2020-12-22411Wolf Pack1Devils8LSommaire du Match
62 - 2020-12-24423Wolves4Wolf Pack1LSommaire du Match
65 - 2020-12-27440Wolf Pack1Monsters8LSommaire du Match
66 - 2020-12-28450Rocket8Wolf Pack2LSommaire du Match
68 - 2020-12-30466Wolf Pack0Wolves8LSommaire du Match
70 - 2021-01-01477Wolf Pack3Reign7LSommaire du Match
72 - 2021-01-03495Wolf Pack2Barracudas9LSommaire du Match
74 - 2021-01-05501Wolf Pack0Gulls9LSommaire du Match
76 - 2021-01-07522Admirals11Wolf Pack2LSommaire du Match
80 - 2021-01-11551Marlies8Wolf Pack1LSommaire du Match
82 - 2021-01-13567Gulls8Wolf Pack0LSommaire du Match
83 - 2021-01-14576Wolf Pack2Phantoms5LSommaire du Match
87 - 2021-01-18589Checkers3Wolf Pack2LSommaire du Match
88 - 2021-01-19599Wolf Pack0Marlies6LSommaire du Match
91 - 2021-01-22620Wolf Pack0Condors10LSommaire du Match
93 - 2021-01-24630Wolf Pack0Heat5LSommaire du Match
95 - 2021-01-26651Wolf Pack0Comets7LSommaire du Match
98 - 2021-01-29670Eagles5Wolf Pack3LSommaire du Match
100 - 2021-01-31684Devils9Wolf Pack1LSommaire du Match
102 - 2021-02-02700Wolf Pack2Rampage 6LSommaire du Match
104 - 2021-02-04710Sound Tigers7Wolf Pack5LSommaire du Match
107 - 2021-02-07734Wolf Pack2Sound Tigers5LSommaire du Match
110 - 2021-02-10757Monsters9Wolf Pack0LSommaire du Match
112 - 2021-02-12764Sound Tigers6Wolf Pack5LSommaire du Match
122 - 2021-02-22788Griffins5Wolf Pack1LSommaire du Match
123 - 2021-02-23795Wolf Pack2Griffins6LSommaire du Match
125 - 2021-02-25810Stars5Wolf Pack4LSommaire du Match
127 - 2021-02-27826Marlies9Wolf Pack2LSommaire du Match
129 - 2021-03-01841 Americans9Wolf Pack1LSommaire du Match
131 - 2021-03-03858Reign6Wolf Pack2LSommaire du Match
133 - 2021-03-05876Wolf Pack0Moose9LSommaire du Match
135 - 2021-03-07884Wolf Pack5Wild6LXSommaire du Match
136 - 2021-03-08892Wolf Pack2Monsters7LSommaire du Match
138 - 2021-03-10910Bruins6Wolf Pack0LSommaire du Match
141 - 2021-03-13928Wolf Pack0IceHogs11LSommaire du Match
143 - 2021-03-15942Wolf Pack2Checkers5LSommaire du Match
144 - 2021-03-16952Barracudas11Wolf Pack1LSommaire du Match
147 - 2021-03-19976Wolf Pack4Sound Tigers5LSommaire du Match
149 - 2021-03-21987Wolf Pack1Rocket9LSommaire du Match
150 - 2021-03-22997Wolf Pack0Phantoms8LSommaire du Match
152 - 2021-03-241015Phantoms5Wolf Pack2LSommaire du Match
154 - 2021-03-261023Rampage 2Wolf Pack5WSommaire du Match
156 - 2021-03-281038Bears7Wolf Pack6LSommaire du Match
158 - 2021-03-301055Devils8Wolf Pack2LSommaire du Match
161 - 2021-04-021071Wolf Pack6Stars8LSommaire du Match
162 - 2021-04-031080Wolf Pack3Eagles5LSommaire du Match
165 - 2021-04-061098Wolf Pack5Roadrunners7LSommaire du Match
167 - 2021-04-081121Heat10Wolf Pack3LSommaire du Match
169 - 2021-04-101134Penguins10Wolf Pack1LSommaire du Match
171 - 2021-04-121150Wolf Pack1Penguins7LSommaire du Match
173 - 2021-04-141164Wolf Pack1 Americans11LSommaire du Match
175 - 2021-04-161180Monsters7Wolf Pack3LSommaire du Match
177 - 2021-04-181198Wolf Pack2Bears5LSommaire du Match
179 - 2021-04-201214Wolf Pack1Crunch6LSommaire du Match
181 - 2021-04-221227Wolf Pack1Thunderbirds8LSommaire du Match
183 - 2021-04-241241Phantoms9Wolf Pack0LSommaire du Match
184 - 2021-04-251250Wolf Pack2Penguins8LSommaire du Match
186 - 2021-04-271267IceHogs7Wolf Pack1LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets190
Assistance81,98838,359
Assistance PCT99.99%93.56%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2935 - 97.84% 37,994$1,557,772$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,458,535$ 616,500$ 616,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
3,315$ 558,627$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 8,153$ 0$





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LigueDomicileVisiteur
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