Pawtucket Reds

GP: 7 | W: 3 | L: 2 | T: 2 | P: 8
GF: 8 | GA: 8 | PP%: 23.53% | PK%: 80.00%
DG: Shawmut Partnership | Morale : 52 | Moyenne d'Équipe : 65
Prochain matchs vs Augusta Wolves
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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 SP
1Ian VidulichX99.7511996281153795938896615099992653700
2Paul HinnenkampX100.008066456484714972397073857099712852700
3Chris ElsenX100.002211997770775488497992547072513350700
4Blake WoganX100.008016866680806882698287325099574553690
5Ted TrussellX100.009946455888191583668293768199644052690
6Dante ValladaoX100.00402685767580777117989335097933249690
7Tommy KroppX100.009489536686848664154562877099674852680
8Dylan TamargoX100.005941995963806950456959985099807052670
9Russ DanzerX100.00306996781725673414657807098993252640
10Daniel SjodinX100.004242817059786870795471657082614652630
11Tim CogganX100.007257437075817881397883567089456149690
12Trevor HartmanX100.009636585881133479646055914199992452680
13Nicholas DivlioX100.006666608057817951233342937099524552680
14Darren FebboX100.007730746880736539294330893693994549680
15Alton WarnellX100.002114997277857664507275667089913452680
16Devin ConnessX100.003520997466818562265876717087884052670
17Niall HenryX100.005221878373718163575965587099494252650
18Brandon AinsleyX100.008358477576747159754766587098603752640
Rayé
1Reed WethernX100.007571536879816968224165657084445049620
2Morgan PatadiaX100.002617997974684559586163647075475449610
3Greg Van RoekelX100.004283637954777337495589457089714349610
4Dylan AvenosoX100.003710999066755842796840397099966349590
5Max LonesX100.003868226173785139305456887099625449590
6Patrick WasiutaX100.005340797455727852796149505077667149590
7Zach PerruzziX100.006443667060786858432468647088745649590
8Nate LacombeX100.004010997672688646204143667090773649580
9Christopher ReifX100.004825997659706029556380237091854249580
10Jeffrey GorhamX100.004025996266837061565875257081435349580
11Brent O'DonnellX100.005327576580717459545577367082826249600
12Jody KirwinX100.006625667268757955534659447068756049590
13George HaynesX100.006625997269767048452586327093873949580
MOYENNE D'ÉQUIPE99.99553676717271656148586861659172465064
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
1Joe Wilson100.00724080897796636889687199993154770
2Brent Labuda100.00929583697878657563707960825452730
Rayé
1Derick Brigman100.00766780726680868954597167786249710
2Vince Bugni100.00798367737082507156617399992749700
MOYENNE D'ÉQUIPE100.0080717876738466766665748190445173
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Cameron Renfrew60678677536357CAN412270,000$


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
1Ian VidulichPawtucket Reds (Pro)LW64596006123171912.90%213322.210224120000170061.70%4722001.3500000111
2Paul HinnenkampPawtucket Reds (Pro)LW7459-11201291851322.22%514420.62112114000090033.33%651001.2500000111
3Ted TrussellPawtucket Reds (Pro)C74266801612179523.53%512818.37101415000191066.00%15004000.9300000010
4Tommy KroppPawtucket Reds (Pro)RW7325-2951810124525.00%013018.62112113000001020.00%515000.7700100100
5Carter SegalaProvidence EnglishmenRW605550025228100.00%211218.83011912000000070.00%1013000.8900000001
6Nicholas DivlioPawtucket Reds (Pro)D7044360599120.00%717124.52000117000017000.00%018000.4700000000
7Bryan KasterProvidence EnglishmenC6134-1000712968.33%112320.55011210000150062.67%7500000.6500000010
8Thomas RicciardoneProvidence EnglishmenD6044040104141240.00%215125.25000313000013000.00%072000.5300000000
9Alton WarnellPawtucket Reds (Pro)D71231000662216.67%312217.56011210000011000.00%024000.4900000001
10Chris ElsenPawtucket Reds (Pro)C12132001470428.57%22424.5810123000140041.67%2400002.4400000010
11Blake WoganPawtucket Reds (Pro)C72021009101841611.11%011816.8800001000041057.81%6430000.3400000000
12Russ DanzerPawtucket Reds (Pro)C7112-1001720150.00%4679.59000000001100030.77%2602000.6000000000
13Trevor HartmanPawtucket Reds (Pro)D7011440745110.00%58512.250000100001000.00%015000.2300000000
14Tim CogganPawtucket Reds (Pro)D1011200321000.00%22727.080001300005000.00%001000.7400000000
15Dylan TamargoPawtucket Reds (Pro)LW7011120767520.00%411416.33000020000200100.00%301000.1700000000
16Daniel SjodinPawtucket Reds (Pro)RW70111007107170.00%210014.3100000000000050.00%243000.2000000000
17Stephen HadleyProvidence EnglishmenD60000001117230.00%412120.1800009000010000.00%007000.0000000000
18Darren FebboPawtucket Reds (Pro)D1000000000100.00%01818.530000200002000.00%000000.0000000000
19Dante ValladaoPawtucket Reds (Pro)RW1000200011010.00%01919.630000300002000.00%001000.0000000000
20Niall HenryPawtucket Reds (Pro)D7000-100030010.00%2476.850000000001000.00%000000.0000000000
21Brandon AinsleyPawtucket Reds (Pro)D7000-100311000.00%0446.410000000000000.00%000000.0000000000
22Devin ConnessPawtucket Reds (Pro)D7000400022000.00%17911.340000000005000.00%001000.0000000000
23Greg Van RoekelPawtucket Reds (Pro)LW1000-100222010.00%01616.55000000000000100.00%112000.0000000000
Stats d'équipe Total ou en Moyenne126223860304551101372017110310.95%53210416.7047113014900041383059.32%4132852000.5700100354
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
1Joe WilsonPawtucket Reds (Pro)73220.9162.24429011619080200.000070100
Stats d'équipe Total ou en Moyenne73220.9162.24429011619080200.000070100


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
Alton WarnellPawtucket Reds (Pro)D222/9/1995No191 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm442,000$442,000$442,000$
Blake WoganPawtucket Reds (Pro)C255/8/1992No208 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm498,000$498,000$498,000$
Brandon AinsleyPawtucket Reds (Pro)D217/23/1995No194 Lbs6 ft7NoNoNo1Contrat d'EntréePro & Farm288,124$
Brent LabudaPawtucket Reds (Pro)D232/19/1994No153 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm260,000$260,000$
Brent O'DonnellPawtucket Reds (Pro)D225/18/1995No211 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm254,000$254,000$254,000$
Chris ElsenPawtucket Reds (Pro)C222/23/1995No170 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm499,000$499,000$499,000$
Christopher ReifPawtucket Reds (Pro)C205/22/1997No171 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm223,163$223,163$
Daniel SjodinPawtucket Reds (Pro)RW193/19/1998No187 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm330,893$330,893$330,893$
Dante ValladaoPawtucket Reds (Pro)RW251/1/1992No180 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm410,000$410,000$
Darren FebboPawtucket Reds (Pro)D2612/3/1990No203 Lbs6 ft7NoNoNo3Avec RestrictionPro & Farm464,000$464,000$464,000$
Derick BrigmanPawtucket Reds (Pro)RW202/3/1997No169 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm258,425$258,425$258,425$
Devin ConnessPawtucket Reds (Pro)D203/21/1997No180 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm398,510$398,510$
Dylan AvenosoPawtucket Reds (Pro)LW2410/5/1992No143 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm263,000$263,000$263,000$
Dylan TamargoPawtucket Reds (Pro)LW1912/28/1997No169 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm345,709$345,709$345,709$
George HaynesPawtucket Reds (Pro)D211/22/1996No192 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm203,377$
Greg Van RoekelPawtucket Reds (Pro)LW197/1/1997No162 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm257,912$257,912$257,912$
Ian VidulichPawtucket Reds (Pro)LW276/19/1989No222 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm520,000$520,000$520,000$
Jeffrey GorhamPawtucket Reds (Pro)C225/25/1995No206 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm217,584$
Jody KirwinPawtucket Reds (Pro)D2111/28/1995No191 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm208,592$
Joe WilsonPawtucket Reds (Pro)D271/12/1990No237 Lbs6 ft11NoNoNo3Avec RestrictionPro & Farm448,000$448,000$448,000$
Max LonesPawtucket Reds (Pro)RW2012/4/1996No233 Lbs6 ft9NoNoNo2Contrat d'EntréePro & Farm261,050$261,050$
Morgan PatadiaPawtucket Reds (Pro)LW2211/24/1994No178 Lbs6 ft7NoNoNo3Contrat d'EntréePro & Farm252,000$252,000$252,000$
Nate LacombePawtucket Reds (Pro)RW245/10/1993No180 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm250,000$250,000$250,000$
Niall HenryPawtucket Reds (Pro)D229/24/1994No168 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm353,000$353,000$353,000$
Nicholas DivlioPawtucket Reds (Pro)D193/15/1998No168 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm420,649$420,649$420,649$
Patrick WasiutaPawtucket Reds (Pro)LW196/10/1998No168 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm237,170$237,170$237,170$
Paul HinnenkampPawtucket Reds (Pro)LW2310/5/1993No225 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm472,500$472,500$472,500$
Reed WethernPawtucket Reds (Pro)RW2110/7/1995No206 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm303,914$
Russ DanzerPawtucket Reds (Pro)C238/20/1993No210 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm305,250$
Ted TrussellPawtucket Reds (Pro)C283/4/1989No248 Lbs6 ft9NoNoNo3Sans RestrictionPro & Farm552,000$552,000$552,000$
Tim CogganPawtucket Reds (Pro)D219/16/1995No193 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm309,835$
Tommy KroppPawtucket Reds (Pro)RW225/7/1995No224 Lbs6 ft9NoNoNo3Contrat d'EntréePro & Farm402,000$402,000$402,000$
Trevor HartmanPawtucket Reds (Pro)D3611/15/1980No227 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm459,000$459,000$459,000$
Vince BugniPawtucket Reds (Pro)RW282/8/1989No184 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm249,000$249,000$249,000$
Zach PerruzziPawtucket Reds (Pro)C2012/20/1996No194 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm231,241$231,241$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3522.66193 Lbs6 ft42.43338,540$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ian VidulichChris ElsenDante Valladao40122
2Paul HinnenkampTed TrussellTommy Kropp30122
3Dylan TamargoBlake WoganDaniel Sjodin20122
4Ian VidulichRuss DanzerChris Elsen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim CogganNicholas Divlio40122
2Darren FebboAlton Warnell30122
3Trevor HartmanDevin Conness20122
4Niall HenryBrandon Ainsley10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ian VidulichChris ElsenDante Valladao60122
2Paul HinnenkampTed TrussellTommy Kropp40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim CogganNicholas Divlio60122
2Darren FebboAlton Warnell40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ian VidulichChris Elsen60122
2Paul HinnenkampDante Valladao40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim CogganNicholas Divlio60122
2Darren FebboAlton Warnell40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ian Vidulich60122Tim CogganNicholas Divlio60122
2Chris Elsen40122Darren FebboAlton Warnell40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ian VidulichChris Elsen60122
2Paul HinnenkampDante Valladao40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tim CogganNicholas Divlio60122
2Darren FebboAlton Warnell40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ian VidulichChris ElsenDante ValladaoTim CogganNicholas Divlio
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ian VidulichChris ElsenDante ValladaoTim CogganNicholas Divlio
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Wogan, Dylan Tamargo, Russ DanzerBlake Wogan, Dylan TamargoRuss Danzer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor Hartman, Devin Conness, Niall HenryTrevor HartmanDevin Conness, Niall Henry
Tirs de Pénalité
Ian Vidulich, Chris Elsen, Paul Hinnenkamp, Dante Valladao, Ted Trussell
Gardien
#1 : Joe Wilson, #2 : Brent Labuda


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 Winterhawks1010000036-31010000036-30000000000000.0003470010570296360762358918300.00%220.00%08515255.92%10516364.42%559856.12%139671397015077
2Augusta Wolves11000000312000000000001100000031221.000369001057029636076223527000.00%10100.00%08515255.92%10516364.42%559856.12%139671397015077
3Beverly Jr. Eagles3111000010731010000012-12101000095430.5001018280010570846360762691824448337.50%12283.33%08515255.92%10516364.42%559856.12%139671397015077
4Cape Breton Kings21010000624110000004041001000022030.750610160110570596360762632210416116.67%50100.00%08515255.92%10516364.42%559856.12%139671397015077
Since Last GM Reset752000002216631200000880440000001486100.71422386001105702016360762190534511017423.53%20480.00%08515255.92%10516364.42%559856.12%139671397015077
Total73220000221663120000088042020000148680.57122386001105702016360762190534511017423.53%20480.00%08515255.92%10516364.42%559856.12%139671397015077
Vs Conference752000002216631200000880440000001486100.71422386001105702016360762190534511017423.53%20480.00%08515255.92%10516364.42%559856.12%139671397015077
Vs Division752000002216631200000880440000001486100.71422386001105702016360762190534511017423.53%20480.00%08515255.92%10516364.42%559856.12%139671397015077

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78W1223860201190534511001
Tous les Matchs
GPWLOTWOTL TGFGA
7320022216
Matchs locaux
GPWLOTWOTL TGFGA
31200088
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
420002148
Derniers 10 Matchs
WLOTWOTL T
32002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
17423.53%20480.00%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
636076210570
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
8515255.92%10516364.42%559856.12%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
139671397015077


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 Wolves1WSommaire du Match
4 - 2017-12-1220Amherst Winterhawks6Pawtucket Reds3LSommaire du Match
5 - 2017-12-1324Pawtucket Reds6Beverly Jr. Eagles2WSommaire du Match
8 - 2017-12-1642Beverly Jr. Eagles2Pawtucket Reds1LSommaire du Match
10 - 2017-12-1852Pawtucket Reds3Beverly Jr. Eagles3TXSommaire du Match
12 - 2017-12-2065Pawtucket Reds2Cape Breton Kings2TXSommaire du Match
15 - 2017-12-2378Cape Breton Kings0Pawtucket Reds4WSommaire du Match
18 - 2017-12-2695Beverly Jr. Eagles-Pawtucket Reds-
21 - 2017-12-29113Pawtucket Reds-Amherst Winterhawks-
23 - 2017-12-31125Augusta Wolves-Pawtucket Reds-
26 - 2018-01-03143Cape Breton Kings-Pawtucket Reds-
31 - 2018-01-08166Scarborough Royals-Pawtucket Reds-
33 - 2018-01-10173Pawtucket Reds-Montpelier Cougars-
35 - 2018-01-12189Pawtucket Reds-Watertown Bulls-
37 - 2018-01-14199Pawtucket Reds-Beverly Jr. Eagles-
38 - 2018-01-15207Elmira Roadrunners-Pawtucket Reds-
41 - 2018-01-18224Pawtucket Reds-Lowell Plainsmen-
43 - 2018-01-20233Amherst Winterhawks-Pawtucket Reds-
45 - 2018-01-22244Pawtucket Reds-Charlesbourg Cavaliers-
47 - 2018-01-24254Pawtucket Reds-Augusta Wolves-
48 - 2018-01-25266Lowell Plainsmen-Pawtucket Reds-
52 - 2018-01-29287Harrisburg Rockets-Pawtucket Reds-
54 - 2018-01-31296Pawtucket Reds-Reading Patriots-
57 - 2018-02-03314Watertown Bulls-Pawtucket Reds-
60 - 2018-02-06330Pawtucket Reds-Dayton Clippers-
62 - 2018-02-08339Pawtucket Reds-Johnstown Yellow Jackets-
63 - 2018-02-09348Beverly Jr. Eagles-Pawtucket Reds-
66 - 2018-02-12365Troy Indians-Pawtucket Reds-
69 - 2018-02-15377Pawtucket Reds-Amherst Winterhawks-
72 - 2018-02-18395Montpelier Cougars-Pawtucket Reds-
75 - 2018-02-21412Williamsburg Dragons-Pawtucket Reds-
76 - 2018-02-22416Pawtucket Reds-Columbia Tigers-
81 - 2018-02-27441Napean Spartans-Pawtucket Reds-
84 - 2018-03-02455Pawtucket Reds-Niagara Falls Wings-
86 - 2018-03-04468Charlottesville Robins-Pawtucket Reds-
90 - 2018-03-08492Pawtucket Reds-Lowell Plainsmen-
92 - 2018-03-10499Virginia Beach Mariners-Pawtucket Reds-
94 - 2018-03-12516Pawtucket Reds-Cape Breton Kings-
96 - 2018-03-14523Lowell Plainsmen-Pawtucket Reds-
99 - 2018-03-17540Pawtucket Reds-Napean Spartans-
100 - 2018-03-18547Pawtucket Reds-Troy Indians-
102 - 2018-03-20557Longueuil Voyageurs-Pawtucket Reds-
106 - 2018-03-24576Charlesbourg Cavaliers-Pawtucket Reds-
107 - 2018-03-25587Pawtucket Reds-Elmira Roadrunners-
110 - 2018-03-28602Canadaigua Lakers-Pawtucket Reds-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
116 - 2018-04-03625Arlington Americans-Pawtucket Reds-
118 - 2018-04-05639Pawtucket Reds-Bowling Green Red Devils-
121 - 2018-04-08652Cape Breton Kings-Pawtucket Reds-
123 - 2018-04-10661Pawtucket Reds-Scarborough Royals-
124 - 2018-04-11670Pawtucket Reds-Elmira Roadrunners-
127 - 2018-04-14683Pawtucket Reds-Longueuil Voyageurs-
128 - 2018-04-15692Pawtucket Reds-Lafayette Racers-
130 - 2018-04-17702Arlington Americans-Pawtucket Reds-
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
2,962,224$ 2,962,224$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
363,841$ 21,622$ 363,841$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 120 21,622$ 2,594,640$




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
07-0880314204300231259-2840151903300112123-1140162301000119136-17622313675980475747842062735697620102303773191815892283716.23%2926876.71%14699156844.58%773169545.60%560124045.16%146564015508511794874
08-0980284242400247294-4740142311100129157-2840141931300118137-19602473916381357100882215365076771521237677790715841913518.32%2835979.15%8718158145.41%795177544.79%557125244.49%1451632332018001796876
09-10802834103500237266-2940171832000124132-840111671500113134-2166237389626117392693223874173173630248480248915962034220.69%1854675.14%7721154846.58%785169946.20%561125344.77%1504679506927331805903
10-1180293497100284277740121972000138151-13401715251001461262067284470754438594987250385880181034252087134117271864725.27%1353375.56%3751176542.55%755180541.83%496113943.55%153573515838191737854
11-1280343361600288292-4402213302001441152940122031400144177-33742884687561193891051267592386887212267588242914812044522.06%1854774.59%4918186549.22%979194250.41%606119350.80%154575716318091665826
12-13803129965002712710402010532001401202040111943300131151-2071271448719229091846258690583081833267084938214182055426.34%1784375.84%4883190446.38%915193347.34%572114649.91%159578315687871697866
13-14803628664003313022940201331300164147174016153510016715512783315468772011010610962977113091990622287796753916582184822.02%1954079.49%7980211146.42%920209443.94%618131646.96%167490516127581557775
14-158043249310037130764402115310001841582640229621001871493895371597968001391121173301910851031886172994100574517512034823.65%2775879.06%41025202850.54%1093225448.49%696137850.51%167992216527621514749
15-1680303492500307330-2340151841200157170-1340151651300150160-106930750681320981169122895106691589024298196856516222294720.52%2825879.43%111015200650.60%1135226650.09%697137850.58%166188716627661536771
16-1780263783600269299-304017155120014914724092232400120152-32602694557243084811013260292679187015257681074614992556425.10%2866278.32%6978186852.36%975193250.47%625123050.81%165386716287641579798
1001732200002216631200000880420200001486822386001105702016360762190534511017423.53%20480.00%08515255.92%10516364.42%559856.12%139671397015077
Total Saison Régulière8073193397237400028582913-554031741653415150014491428214041451743822250014091485-7671028584675753316159149609473725911908284108199220266468757710616035213947122.02%231851877.65%6887731839647.69%92301955847.19%60431262347.87%1590778772141910924168338375