Augusta Wolves

GP: 7 | W: 5 | L: 2 | T: 0 | P: 10
GF: 8 | GA: 9 | PP%: 10.53% | PK%: 100.00%
DG: David Jennings LLC | Morale : 55 | Moyenne d'Équipe : 66
Prochain matchs vs Pawtucket Reds
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Alex DarbyshireX100.00613464687796806815585785097995753710
2Joel MacarthurX98.75236997868728379208575467097992951700
3Mike WallisX100.00201996773304383738283597699992752680
4Daren EstlerX100.0097445564819399569606375509989549680
5Matt MillerX100.008367417373788170177179597099455553680
6Donald PurnellX100.009018866276416655695871848899993452670
7Ryan WeberX100.0074298607854726474666868769999752670
8Albert ChaconX100.0011995682325063828374788199944052660
9John FaheyX100.0011995886446077786772827276994353660
10Henry RosenX100.0081995881244373967272807499993952650
11Tyson SouterX100.0010199657753099307998288199683254640
12Patrice GuillotteX100.002612997773718260736678247099714652630
13Mike ReyesX99.505199627452609773838075639999150690
14Frank CullumX99.5011995480728496778273755099994550690
15Nicholas ClausenX100.009959306476718767844737664699993153680
16Ian BrislinX100.009141536770989958744846505099994752670
17Stephen VignolaX100.003548617863758872234449677085775152650
18Taylor RichartX100.004440976960707861144953724983674052630
Rayé
1Dennis LloydX100.005019917271736367546773447085435249630
2Dale AmsbaughX100.003715997775757961685281327099494149620
3Shane SchwandtX100.002818977273736754696375387081776549610
4Dale ByingtonX100.004940796363807270606778277078346749610
5Sidney HowlinX100.006351576259846366596364397090425449590
6Brad FlennerX100.002820997768677039574959567078855349580
7Tim BrissonX100.004841876476747842143049837094714749580
8Jay ButlerX100.004847717059797457194141687094385249610
9Carey AdamsX100.003723766373678550622439577099566349570
10Graeme StukoffX100.007020756773725823213023695061585449570
MOYENNE D'ÉQUIPE99.92442482677365716552606660679277425164
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
1Charles Hosford100.00938070717684778081608294884053770
2Ryan Bright100.00712569736876929286687590925652750
Rayé
1Nelson Brunton100.00794066747099936775597899893649750
2Tracy Tovar100.00686378827383696970697181996149730
3Alexander Saltis100.00928669677361826255607098837749700
MOYENNE D'ÉQUIPE100.0081597073728183747363759290545074
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Selwood74768893998837CAN682250,000$


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'ÉquipePOS GP 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
1Albert ChaconAugusta Wolves (Prt)C75510820313113845.45%313519.39112218000011052.11%21302001.4700000102
2Richard LundquistPortland WolvesLW63696009112751211.11%614524.19101315000071057.14%4272001.2400000031
3Patrick CouttsPortland WolvesRW6448900752951513.79%112020.02000116000021030.77%1342001.3300000110
4Tyson SouterAugusta Wolves (Prt)C735830005245712.50%211816.91000114000000132.10%8141001.3500000101
5Mike WallisAugusta Wolves (Prt)LW7156-10036267113.85%39713.9500010000061033.33%342001.2300000000
6Nathaniel DerrigoPortland WolvesD6055-500131311540.00%815525.9800011700008000.00%073000.6400000000
7Matt MillerAugusta Wolves (Prt)RW7415340198236917.39%712417.72000014000010120.00%544000.8100000020
8Joel MacarthurAugusta Wolves (Prt)LW13143001271842.86%02727.8801112101161028.00%2510012.8700000100
9Patrice GuillotteAugusta Wolves (Prt)C7224-20043104820.00%28912.7600000000000058.49%5351000.9000000000
10Frank CullumAugusta Wolves (Prt)D1033400113120.00%33030.220001201106000.00%010001.9900000000
11Mike ReyesAugusta Wolves (Prt)D1022400033030.00%22929.950000200016000.00%040001.3400000000
12Nicholas ClausenAugusta Wolves (Prt)D7112-4235341250420.00%1617024.4100011800007000.00%015000.2300001000
13John FaheyAugusta Wolves (Prt)RW7022000046030.00%1446.29000000000000100.00%120000.9100000000
14Alex DarbyshireAugusta Wolves (Prt)LW7202420141572528.57%513619.43000014000014000.00%602000.2900000001
15Stephen VignolaAugusta Wolves (Prt)D702292021012210.00%413419.2400001200006000.00%001000.3000000000
16Jay ButlerAugusta Wolves (Prt)D61121403620050.00%108414.000000000002000.00%000100.4800000000
17Ryan WeberAugusta Wolves (Prt)RW7101-200127102610.00%39713.9400000000040066.67%303000.2000000000
18Taylor RichartAugusta Wolves (Prt)D7011200292210.00%79213.270000000001000.00%003000.2200000000
19Donald PurnellAugusta Wolves (Prt)LW7000000722010.00%4507.180000000002000.00%101000.0000000000
20Henry RosenAugusta Wolves (Prt)RW7000-100002000.00%0263.7600001000000066.67%600000.0000000000
21Daren EstlerAugusta Wolves (Prt)RW1000-100401100.00%02020.520000200001000.00%102000.0000000000
22Ian BrislinAugusta Wolves (Prt)D70009401544310.00%514220.3700001300008000.00%020000.0000000000
Stats d'équipe Total ou en Moyenne126304676494151531392275410913.22%92207416.46224121651122985246.80%4534634110.7300001465
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
1Charles HosfordAugusta Wolves (Prt)75200.9262.584190018244119100.000070100
Stats d'équipe Total ou en Moyenne75200.9262.584190018244119100.000070100


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 CONT StatusType Salaire Actuel Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Albert ChaconAugusta Wolves (Prt)C321/2/1985No234 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm375,000$
Alex DarbyshireAugusta Wolves (Prt)LW255/1/1992No198 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm535,000$535,000$535,000$
Alexander SaltisAugusta Wolves (Prt)LW241/18/1993No152 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm200,000$
Brad FlennerAugusta Wolves (Prt)C221/6/1995No172 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm244,000$244,000$244,000$
Carey AdamsAugusta Wolves (Prt)D2210/30/1994No213 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm243,000$243,000$243,000$
Charles HosfordAugusta Wolves (Prt)LW224/12/1995No161 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm515,000$515,000$515,000$
Dale AmsbaughAugusta Wolves (Prt)C232/11/1994No178 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm287,000$287,000$287,000$
Dale ByingtonAugusta Wolves (Prt)C198/23/1997No210 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm250,385$250,385$250,385$
Daren EstlerAugusta Wolves (Prt)RW279/16/1989No217 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm442,000$442,000$442,000$
Dennis LloydAugusta Wolves (Prt)LW219/27/1995No199 Lbs6 ft7NoNoNo1Contrat d'EntréePro & Farm210,718$
Donald PurnellAugusta Wolves (Prt)LW339/30/1983No205 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm434,000$434,000$434,000$
Frank CullumAugusta Wolves (Prt)D303/30/1987No237 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm420,000$
Graeme StukoffAugusta Wolves (Prt)D263/30/1991No191 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm218,222$
Henry RosenAugusta Wolves (Prt)RW329/19/1984No230 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm373,000$373,000$373,000$
Ian BrislinAugusta Wolves (Prt)D294/24/1988No182 Lbs5 ft9NoNoNo3Sans RestrictionPro & Farm453,000$453,000$453,000$
Jay ButlerAugusta Wolves (Prt)D196/8/1998No190 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm233,501$233,501$233,501$
Joel MacarthurAugusta Wolves (Prt)LW2412/30/1992No159 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm522,000$522,000$522,000$
John FaheyAugusta Wolves (Prt)RW3010/24/1986No243 Lbs6 ft7NoNoNo3Sans RestrictionPro & Farm411,000$411,000$411,000$
Matt MillerAugusta Wolves (Prt)RW219/24/1995No187 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm398,225$
Mike ReyesAugusta Wolves (Prt)D376/19/1979No207 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm535,000$
Mike WallisAugusta Wolves (Prt)LW3412/4/1982No195 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm462,000$462,000$462,000$
Nelson BruntonAugusta Wolves (Prt)RW276/14/1990No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm366,000$366,000$366,000$
Nicholas ClausenAugusta Wolves (Prt)D335/24/1984No205 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm516,000$516,000$516,000$
Patrice GuillotteAugusta Wolves (Prt)C2212/1/1994No178 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm293,000$293,000$293,000$
Ryan BrightAugusta Wolves (Prt)LW341/6/1983No194 Lbs5 ft7NoNoNo3Sans RestrictionPro & Farm423,000$423,000$423,000$
Ryan WeberAugusta Wolves (Prt)RW374/29/1980No221 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm424,000$424,000$424,000$
Shane SchwandtAugusta Wolves (Prt)LW2112/27/1995No185 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm231,362$
Sidney HowlinAugusta Wolves (Prt)LW191/22/1998No200 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm239,488$239,488$239,488$
Stephen VignolaAugusta Wolves (Prt)D2010/25/1996No169 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm244,613$244,613$
Taylor RichartAugusta Wolves (Prt)D252/15/1992No175 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm263,563$263,563$
Tim BrissonAugusta Wolves (Prt)RW217/17/1995No217 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm252,357$
Tracy TovarAugusta Wolves (Prt)D3112/29/1985No227 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm337,000$337,000$337,000$
Tyson SouterAugusta Wolves (Prt)C293/26/1988No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3326.39198 Lbs6 ft22.33353,104$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel MacarthurAlbert ChaconDaren Estler40122
2Alex DarbyshireTyson SouterMatt Miller30122
3Mike WallisPatrice GuillotteRyan Weber20122
4Donald PurnellJoel MacarthurJohn Fahey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Frank CullumMike Reyes40122
2Nicholas ClausenIan Brislin30122
3Stephen VignolaTaylor Richart20122
4Frank CullumMike Reyes10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel MacarthurAlbert ChaconDaren Estler60122
2Alex DarbyshireTyson SouterMatt Miller40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Frank CullumMike Reyes60122
2Nicholas ClausenIan Brislin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Joel MacarthurAlex Darbyshire60122
2Daren EstlerMatt Miller40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Frank CullumMike Reyes60122
2Nicholas ClausenIan Brislin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Joel Macarthur60122Frank CullumMike Reyes60122
2Alex Darbyshire40122Nicholas ClausenIan Brislin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Joel MacarthurAlex Darbyshire60122
2Daren EstlerMatt Miller40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Frank CullumMike Reyes60122
2Nicholas ClausenIan Brislin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel MacarthurAlbert ChaconDaren EstlerFrank CullumMike Reyes
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel MacarthurAlbert ChaconDaren EstlerFrank CullumMike Reyes
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Henry Rosen, Mike Wallis, Donald PurnellHenry Rosen, Mike WallisDonald Purnell
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Stephen Vignola, Taylor Richart, Nicholas ClausenStephen VignolaTaylor Richart, Nicholas Clausen
Tirs de Pénalité
Joel Macarthur, Alex Darbyshire, Daren Estler, Matt Miller, Mike Wallis
Gardien
#1 : Charles Hosford, #2 : Ryan Bright


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
1Amherst Winterhawks3210000010731010000023-12200000084440.66710162600119100967478750115361069700.00%50100.00%08117346.82%7916547.88%5211545.22%142771456513167
2Elmira Roadrunners11000000532110000005320000000000021.0005813001191004274787503314220300.00%10100.00%08117346.82%7916547.88%5211545.22%142771456513167
3Lowell Plainsmen11000000927000000000001100000092721.0009132200119100367478750351425233133.33%50100.00%18117346.82%7916547.88%5211545.22%142771456513167
4Pawtucket Reds1010000013-21010000013-20000000000000.000123001191002374787502910024100.00%000.00%08117346.82%7916547.88%5211545.22%142771456513167
5Reading Patriots11000000532000000000001100000053221.00057120011910030747875032184175120.00%20100.00%08117346.82%7916547.88%5211545.22%142771456513167
Since Last GM Reset752000003018123120000089-14400000022913100.714304676001191002277478750244924115319210.53%130100.00%18117346.82%7916547.88%5211545.22%142771456513167
Total752000003018123120000089-14400000022913100.714304676001191002277478750244924115319210.53%130100.00%18117346.82%7916547.88%5211545.22%142771456513167
Vs Conference642000002515103120000089-1330000001761180.66725396400119100197747875021274371361417.14%110100.00%18117346.82%7916547.88%5211545.22%142771456513167
Vs Division53200000201282020000036-3330000001761160.60020315100119100155747875017960351161119.09%100100.00%18117346.82%7916547.88%5211545.22%142771456513167

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
710W1304676227244924115300
Tous les Matchs
GPWLOTWOTL TGFGA
7520003018
Matchs locaux
GPWLOTWOTL TGFGA
31200089
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
440000229
Derniers 10 Matchs
WLOTWOTL T
52000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
19210.53%130100.00%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
7478750119100
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
8117346.82%7916547.88%5211545.22%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
142771456513167


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 - 2017-12-109Pawtucket Reds3Augusta Wolves1LSommaire du Match
4 - 2017-12-1218Augusta Wolves5Reading Patriots3WSommaire du Match
7 - 2017-12-1537Elmira Roadrunners3Augusta Wolves5WSommaire du Match
9 - 2017-12-1748Augusta Wolves3Amherst Winterhawks1WSommaire du Match
11 - 2017-12-1960Augusta Wolves5Amherst Winterhawks3WSommaire du Match
14 - 2017-12-2270Amherst Winterhawks3Augusta Wolves2LSommaire du Match
16 - 2017-12-2484Augusta Wolves9Lowell Plainsmen2WSommaire du Match
18 - 2017-12-2696Lowell Plainsmen-Augusta Wolves-
21 - 2017-12-29112Charlesbourg Cavaliers-Augusta Wolves-
23 - 2017-12-31125Augusta Wolves-Pawtucket Reds-
24 - 2018-01-01131Augusta Wolves-Beverly Jr. Eagles-
29 - 2018-01-06153Elmira Roadrunners-Augusta Wolves-
31 - 2018-01-08162Augusta Wolves-Watertown Bulls-
34 - 2018-01-11182Johnstown Yellow Jackets-Augusta Wolves-
36 - 2018-01-13191Augusta Wolves-Virginia Beach Mariners-
38 - 2018-01-15205Canadaigua Lakers-Augusta Wolves-
40 - 2018-01-17221Augusta Wolves-Columbia Tigers-
42 - 2018-01-19232Dayton Clippers-Augusta Wolves-
47 - 2018-01-24254Pawtucket Reds-Augusta Wolves-
49 - 2018-01-26271Longueuil Voyageurs-Augusta Wolves-
51 - 2018-01-28281Augusta Wolves-Beverly Jr. Eagles-
53 - 2018-01-30295Augusta Wolves-Amherst Winterhawks-
56 - 2018-02-02309Bowling Green Red Devils-Augusta Wolves-
58 - 2018-02-04321Augusta Wolves-Elmira Roadrunners-
60 - 2018-02-06333Napean Spartans-Augusta Wolves-
63 - 2018-02-09345Augusta Wolves-Bowling Green Red Devils-
65 - 2018-02-11359Niagara Falls Wings-Augusta Wolves-
69 - 2018-02-15381Augusta Wolves-Lowell Plainsmen-
71 - 2018-02-17390Troy Indians-Augusta Wolves-
74 - 2018-02-20404Augusta Wolves-Montpelier Cougars-
76 - 2018-02-22414Arlington Americans-Augusta Wolves-
79 - 2018-02-25427Augusta Wolves-Longueuil Voyageurs-
81 - 2018-02-27440Augusta Wolves-Williamsburg Dragons-
83 - 2018-03-01449Lowell Plainsmen-Augusta Wolves-
86 - 2018-03-04466Augusta Wolves-Troy Indians-
87 - 2018-03-05477Lafayette Racers-Augusta Wolves-
90 - 2018-03-08493Augusta Wolves-Scarborough Royals-
92 - 2018-03-10502Watertown Bulls-Augusta Wolves-
96 - 2018-03-14526Montpelier Cougars-Augusta Wolves-
100 - 2018-03-18545Charlesbourg Cavaliers-Augusta Wolves-
102 - 2018-03-20556Augusta Wolves-Charlesbourg Cavaliers-
105 - 2018-03-23573Harrisburg Rockets-Augusta Wolves-
107 - 2018-03-25582Augusta Wolves-Napean Spartans-
109 - 2018-03-27599Beverly Jr. Eagles-Augusta Wolves-
112 - 2018-03-30608Augusta Wolves-Cape Breton Kings-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
115 - 2018-04-02624Beverly Jr. Eagles-Augusta Wolves-
118 - 2018-04-05635Augusta Wolves-Reading Patriots-
121 - 2018-04-08651Amherst Winterhawks-Augusta Wolves-
122 - 2018-04-09660Augusta Wolves-Cape Breton Kings-
125 - 2018-04-12673Augusta Wolves-Charlesbourg Cavaliers-
127 - 2018-04-14687Augusta Wolves-Charlottesville Robins-
129 - 2018-04-16695Cape Breton Kings-Augusta Wolves-
133 - 2018-04-20715Cape Breton Kings-Augusta Wolves-
134 - 2018-04-21722Augusta Wolves-Pawtucket Reds-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 0 - 0.00% 0$0$3000110

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,913,108$ 2,913,108$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
349,560$ 21,264$ 349,560$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 120 21,264$ 2,551,680$




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
Saison Régulière
07-0880204059600253299-4640122115100132151-194081944500121148-274525340465712541137792197661861650252314756132917042304720.43%2446175.00%8841163551.44%816161350.59%654128151.05%149266915478401797887
08-0980204755300264319-5540122122300132144-124082633000132175-434526441467830571011015231167280482114242280363016682043818.63%2224778.83%11759163046.56%844173148.76%680135150.33%1497683330817801770869
09-10803439331002852769402215111001551243140122422000130152-22712854557400177108973265080092591312252184570616182013718.41%2194977.63%9863185446.55%822169648.47%669133450.15%1558755503426901720857
10-1180293196500267286-1940161345200130132-240131851300137154-1767267414681539582846240177983676026247778154715951783821.35%2145076.64%6901177950.65%950186450.97%572115449.57%152570615838251756871
11-12803927833002972781940191432200146146040201351100151132198629748778421821001123270591088988224270988744216361724727.33%2084578.37%6871184347.26%886183048.42%537116746.02%157577915968031681832
12-13803235101200299308-940132061000146161-154019154020015314767429948778631941208412903109795382924287795952116261934824.87%2164380.09%71061200552.92%991188852.49%647129749.88%158981416488021624787
13-148037279340031028723402012332001601421840171560200150145583310503813301121088732753103090977935275688633416462024421.78%1633677.91%21012192652.54%1044193553.95%683126853.86%162684016027861632821
14-1580293210540030730434015175120014214114014155420016516326830750381030941099952966109798585826293198728917292204420.00%1262877.78%11147211054.36%1008192352.42%702130653.75%167891916527541533771
15-168034291025003102971340111781300146156-10402312212001641412378310503813211169993229171145913832272877101443417002375121.52%2033284.24%21186210156.45%1157209455.25%664129651.23%171493016067491541790
16-17803728654002882632540161722300126130-440211143100162133298028847075821861009752668101182480726261987251816572876924.04%2104976.67%61067194554.86%986188452.34%661123753.44%169291816287481526774
1001752000003018123120000089-1440000002291310304676001191002277478750244924115319210.53%130100.00%18117346.82%7916547.88%5211545.22%142771456513167
Total Saison Régulière8073163377542370029102935-254031571693523190014231436-134041591684019180014871499-12707291046867596241087810499414226698927689778206239267478882579116732214346521.70%203844078.41%5997891900151.52%95831862351.46%65211280650.92%1609480962135310848167188329