Pittsburgh Yellow Jackets

GP: 7 | W: 1 | L: 3 | T: 3 | P: 5
GF: 8 | GA: 11 | PP%: 3.45% | PK%: 79.41%
DG: | Morale : 46 | Moyenne d'Équipe : 72
Prochain matchs vs Toronto Royals
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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
1Sam BrauerX100.007947458162875087717999937077917648780
2Jeff CliftonX100.009954416475544486879988908899991448770
3Timothy JettX100.00431996576262883859691789299994449730
4Ralph VallesX100.0011997673555399889889454599994248730
5Avery LajoieX100.004540976864857574666697747099876648720
6Scot GodekX100.005623927274767575617788497099694848700
7Dean HelmersX100.0011995879586795776584797699844151690
8Roy SousaX100.00952674627421883697893849280954251690
9Carey SteckleinX100.004138707080794371878783567087896651690
10Brent HeneisenX100.00389877175786766644484818399992948680
11John SilvisX100.00141976478414168877292699992661448660
12Mason SadeX100.00213996380796751557151915099965148650
13Jason AbbruzesseX100.009947416379424099789799968696992049780
14Marc RoethlerX100.009940596584191384288692977799992748730
15Sebastian BooreX100.0011995682656898468285905999991249710
16Rick KrauseX100.003136998470836952537674775099744248690
17Neil MabraX100.008950136677798261237955747072684748690
18Glenn BrantleyX100.0011995580456195467575955099762348680
Rayé
MOYENNE D'ÉQUIPE100.00472378677659537965798479729488394971
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
1Richard Messer100.00695378827390899290717472995449790
2Ray Judd100.0069182857581749983647067996548740
Rayé
MOYENNE D'ÉQUIPE100.0069278084748682968768727099604977
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Daniels75687185736357USA411600,000$


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
1Scot GodekPittsburgh Yellow JacketsLW7257-200331221016.67%08812.7000014000000038.89%1842001.5700000100
2Willie MiddaughJohnstown Yellow Jackets (Pit)LW6426600171731123.53%29315.54000316000020033.33%621001.2900000102
3Avery LajoiePittsburgh Yellow JacketsC722460015221041420.00%312818.400002210000140148.28%8742000.6200000010
4Heath SpeierJohnstown Yellow Jackets (Pit)C64041001341311630.77%07212.1500002000001060.00%4011001.1000000020
5Brent HeneisenPittsburgh Yellow JacketsRW7033600413060.00%310815.54000021000000050.00%202000.5500000001
6Jason AbbruzessePittsburgh Yellow JacketsD703353010321317770.00%1118025.76000224000018000.00%093000.3300002000
7John SilvisPittsburgh Yellow JacketsRW7033200148150.00%17210.3900000000000060.00%530000.8300000000
8Marc RoethlerPittsburgh Yellow JacketsD703344028106140.00%1119027.15000125000024000.00%035000.3200000010
9Damian LowrieJohnstown Yellow Jackets (Pit)C6303-100103131723.08%0599.87000001011120142.86%2811001.0100000100
10Neil MabraPittsburgh Yellow JacketsD7123-3180241270114.29%814120.27000218000012000.00%015000.4200000000
11Sam BrauerPittsburgh Yellow JacketsLW7112-34013616566.25%616723.930002241121260042.47%7362000.2400000000
12Brett KersonJohnstown Yellow Jackets (Pit)LW6022-100129160.00%1518.640000000009000.00%101000.7700000000
13Glenn BrantleyPittsburgh Yellow JacketsD70224000610450.00%49714.0000000000014000.00%021000.4100000000
14Rick KrausePittsburgh Yellow JacketsD7022100793200.00%1010114.520000500004000.00%031000.3900000000
15Jeff CliftonPittsburgh Yellow JacketsC7011-232101488360.00%315422.040002230110180057.75%18743000.1300101000
16Timothy JettPittsburgh Yellow JacketsLW1011000011320.00%11717.120110400001000.00%000001.1700000000
17Sebastian BoorePittsburgh Yellow JacketsD7101-400012105710.00%1515822.67101122000022000.00%034000.1300000000
18Mason SadePittsburgh Yellow JacketsRW7101-1001040225.00%1466.710000100000000.00%202000.4300000000
19Dean HelmersPittsburgh Yellow JacketsLW1000000003210.00%088.520000000000000.00%010000.0000000000
20Roy SousaPittsburgh Yellow JacketsC1000000311100.00%01111.3700000000000036.36%1100000.0000000000
21Ralph VallesPittsburgh Yellow JacketsRW7000-40018217120.00%214420.620001240000100066.67%1870000.0000000000
22Carey SteckleinPittsburgh Yellow JacketsC1000000202010.00%077.0300000000000075.00%400000.0000000000
Stats d'équipe Total ou en Moyenne126193251148820173132194531299.79%82210416.701121724422421931251.66%4825436000.4800103343
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
1Richard MesserPittsburgh Yellow Jackets71330.9123.044340022251101000.000070000
Stats d'équipe Total ou en Moyenne71330.9123.044340022251101000.000070000


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
Avery LajoiePittsburgh Yellow JacketsC1910/5/1997No205 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm568,269$568,269$568,269$
Brent HeneisenPittsburgh Yellow JacketsRW254/4/1992No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm550,000$
Carey SteckleinPittsburgh Yellow JacketsC2110/23/1995No213 Lbs6 ft9NoNoNo1Contrat d'EntréePro & Farm383,350$
Dean HelmersPittsburgh Yellow JacketsLW333/30/1984No224 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm522,000$522,000$522,000$
Glenn BrantleyPittsburgh Yellow JacketsD283/29/1989No238 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm615,000$
Jason AbbruzessePittsburgh Yellow JacketsD366/28/1980No218 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm1,778,000$1,778,000$1,778,000$
Jeff CliftonPittsburgh Yellow JacketsC373/29/1980No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,250,000$
John SilvisPittsburgh Yellow JacketsRW263/28/1991No209 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm393,000$393,000$393,000$
Marc RoethlerPittsburgh Yellow JacketsD2610/17/1990No220 Lbs6 ft9NoNoNo3Avec RestrictionPro & Farm740,000$740,000$740,000$
Mason SadePittsburgh Yellow JacketsRW244/18/1993No215 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm375,000$375,000$375,000$
Neil MabraPittsburgh Yellow JacketsD2011/5/1996No226 Lbs6 ft8NoNoNo2Contrat d'EntréePro & Farm338,260$338,260$
Ralph VallesPittsburgh Yellow JacketsRW3012/23/1986No176 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm1,000,000$
Ray JuddPittsburgh Yellow JacketsD302/23/1987No234 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm340,000$340,000$340,000$
Richard MesserPittsburgh Yellow JacketsLW3312/7/1983No225 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm750,000$
Rick KrausePittsburgh Yellow JacketsD249/23/1992No155 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm625,000$625,000$625,000$
Roy SousaPittsburgh Yellow JacketsC298/19/1987No202 Lbs5 ft9NoNoNo3Sans RestrictionPro & Farm553,000$553,000$553,000$
Sam BrauerPittsburgh Yellow JacketsLW2012/24/1996No167 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm584,615$584,615$
Scot GodekPittsburgh Yellow JacketsLW216/7/1996No203 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm368,475$
Sebastian BoorePittsburgh Yellow JacketsD292/20/1988No234 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,650,000$1,650,000$1,650,000$
Timothy JettPittsburgh Yellow JacketsLW298/5/1987No201 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2027.00208 Lbs6 ft32.15769,198$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
15,383,969$9,467,144$7,544,269$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam BrauerJeff CliftonRalph Valles40122
2Timothy JettAvery LajoieBrent Heneisen30122
3Scot GodekRoy SousaJohn Silvis20122
4Dean HelmersCarey SteckleinMason Sade10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason AbbruzesseMarc Roethler40122
2Sebastian BooreRick Krause30122
3Neil MabraGlenn Brantley20122
4Jason AbbruzesseMarc Roethler10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam BrauerJeff CliftonRalph Valles60122
2Timothy JettAvery LajoieBrent Heneisen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason AbbruzesseMarc Roethler60122
2Sebastian BooreRick Krause40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Sam BrauerJeff Clifton60122
2Timothy JettRalph Valles40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason AbbruzesseMarc Roethler60122
2Sebastian BooreRick Krause40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sam Brauer60122Jason AbbruzesseMarc Roethler60122
2Jeff Clifton40122Sebastian BooreRick Krause40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Sam BrauerJeff Clifton60122
2Timothy JettRalph Valles40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason AbbruzesseMarc Roethler60122
2Sebastian BooreRick Krause40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam BrauerJeff CliftonRalph VallesJason AbbruzesseMarc Roethler
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam BrauerJeff CliftonRalph VallesJason AbbruzesseMarc Roethler
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Scot Godek, Dean Helmers, Roy SousaScot Godek, Dean HelmersRoy Sousa
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Neil Mabra, Glenn Brantley, Sebastian BooreNeil MabraGlenn Brantley, Sebastian Boore
Tirs de Pénalité
Sam Brauer, Jeff Clifton, Timothy Jett, Ralph Valles, Avery Lajoie
Gardien
#1 : Richard Messer, #2 : Ray Judd


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
1Buffalo Wings211000005411010000012-11100000042220.5005914003110582517160692224451119.09%7185.71%08716752.10%10822049.09%549556.84%422344183317
2Cincinnati Clippers1010000013-2000000000001010000013-200.0001120000101939703581427300.00%7185.71%18716752.10%10822049.09%549556.84%1910229188
3Indianapolis Racers10010000550100100005500000000000010.500591400221044151315139161216500.00%6266.67%08716752.10%10822049.09%549556.84%25152091910
4Richmond Robins1010000024-21010000024-20000000000000.00023500101024119403615622400.00%30100.00%18716752.10%10822049.09%549556.84%2010229168
5Rochester Lakers10010000220000000000001001000022010.5002460000202584763291238300.00%6183.33%08716752.10%10822049.09%549556.84%2110249199
Since Last GM Reset743000001922-330210000811-3441-100001111080.571193251008470194715857825182881732913.45%34779.41%28716752.10%10822049.09%549556.84%151821566612764
7Toronto Royals10010000440000000000001001000044010.500461000211024968140122025300.00%5260.00%08716752.10%10822049.09%549556.84%22122292010
Total713300001922-330210000811-3411200001111050.357193251008470194715857825182881732913.45%34779.41%28716752.10%10822049.09%549556.84%151821566612764
Vs Conference713300001922-330210000811-3411200001111050.357193251008470194715857825182881732913.45%34779.41%28716752.10%10822049.09%549556.84%151821566612764
Vs Division612300001718-12011000067-1411200001111050.417172946007460170604953821567821512514.00%31777.42%18716752.10%10822049.09%549556.84%131721335711055

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
75L1193251194251828817300
Tous les Matchs
GPWLOTWOTL TGFGA
7130031922
Matchs locaux
GPWLOTWOTL TGFGA
302001811
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
4110021111
Derniers 10 Matchs
WLOTWOTL T
13003
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2913.45%34779.41%2
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
71585788470
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
8716752.10%10822049.09%549556.84%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
151821566612764


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
1 - 2017-12-096Pittsburgh Yellow Jackets4Toronto Royals4TXSommaire du Match
3 - 2017-12-1115Pittsburgh Yellow Jackets2Rochester Lakers2TXSommaire du Match
5 - 2017-12-1323Indianapolis Racers5Pittsburgh Yellow Jackets5TXSommaire du Match
9 - 2017-12-1738Pittsburgh Yellow Jackets1Cincinnati Clippers3LSommaire du Match
11 - 2017-12-1950Richmond Robins4Pittsburgh Yellow Jackets2LSommaire du Match
13 - 2017-12-2160Pittsburgh Yellow Jackets4Buffalo Wings2WSommaire du Match
15 - 2017-12-2377Buffalo Wings2Pittsburgh Yellow Jackets1LSommaire du Match
19 - 2017-12-2794Pittsburgh Yellow Jackets-Brooklyn Dragons-
21 - 2017-12-29106Indianapolis Racers-Pittsburgh Yellow Jackets-
24 - 2018-01-01126Louisville Red Devils-Pittsburgh Yellow Jackets-
26 - 2018-01-03133Pittsburgh Yellow Jackets-Louisville Red Devils-
28 - 2018-01-05148Pittsburgh Yellow Jackets-Cincinnati Clippers-
30 - 2018-01-07156Binghamton Roadrunners-Pittsburgh Yellow Jackets-
33 - 2018-01-10168Pittsburgh Yellow Jackets-Providence Englishmen-
35 - 2018-01-12183Pittsburgh Yellow Jackets-Virginia Mariners-
36 - 2018-01-13188Philadelphia Patriots-Pittsburgh Yellow Jackets-
39 - 2018-01-16206Pittsburgh Yellow Jackets-Toronto Royals-
40 - 2018-01-17212Montreal Voyageurs-Pittsburgh Yellow Jackets-
45 - 2018-01-22237Cincinnati Clippers-Pittsburgh Yellow Jackets-
47 - 2018-01-24249Pittsburgh Yellow Jackets-Buffalo Wings-
49 - 2018-01-26261Louisville Red Devils-Pittsburgh Yellow Jackets-
51 - 2018-01-28269Pittsburgh Yellow Jackets-Louisville Red Devils-
55 - 2018-02-01290Buffalo Wings-Pittsburgh Yellow Jackets-
57 - 2018-02-03299Pittsburgh Yellow Jackets-Brooklyn Dragons-
59 - 2018-02-05311Pittsburgh Yellow Jackets-Burlington Cougars-
61 - 2018-02-07320Baltimore Tigers-Pittsburgh Yellow Jackets-
63 - 2018-02-09333Pittsburgh Yellow Jackets-Quebec Cavaliers-
65 - 2018-02-11345Pittsburgh Yellow Jackets-Ottawa Spartans-
66 - 2018-02-12350Brooklyn Dragons-Pittsburgh Yellow Jackets-
69 - 2018-02-15365Pittsburgh Yellow Jackets-Washington Americans-
71 - 2018-02-17377Cincinnati Clippers-Pittsburgh Yellow Jackets-
74 - 2018-02-20393Pittsburgh Yellow Jackets-Baltimore Tigers-
75 - 2018-02-21401Rochester Lakers-Pittsburgh Yellow Jackets-
79 - 2018-02-25427Rochester Lakers-Pittsburgh Yellow Jackets-
82 - 2018-02-28439Pittsburgh Yellow Jackets-Rochester Lakers-
85 - 2018-03-03456Albany Indians-Pittsburgh Yellow Jackets-
87 - 2018-03-05468Pittsburgh Yellow Jackets-Indianapolis Racers-
89 - 2018-03-07480Worcester Plainsmen-Pittsburgh Yellow Jackets-
93 - 2018-03-11501Pittsburgh Yellow Jackets-Indianapolis Racers-
94 - 2018-03-12509Richmond Robins-Pittsburgh Yellow Jackets-
98 - 2018-03-16534Lehigh Valley Rockets-Pittsburgh Yellow Jackets-
99 - 2018-03-17540Pittsburgh Yellow Jackets-Richmond Robins-
103 - 2018-03-21561Saint John Winterhawks-Pittsburgh Yellow Jackets-
105 - 2018-03-23570Pittsburgh Yellow Jackets-Boston Eagles-
109 - 2018-03-27585Toronto Royals-Pittsburgh Yellow Jackets-
111 - 2018-03-29600Pittsburgh Yellow Jackets-Lehigh Valley Rockets-
112 - 2018-03-30606Pittsburgh Yellow Jackets-Philadelphia Patriots-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
114 - 2018-04-01615Pittsburgh Yellow Jackets-Syracuse Bulls-
115 - 2018-04-02620Indianapolis Racers-Pittsburgh Yellow Jackets-
120 - 2018-04-07646Washington Americans-Pittsburgh Yellow Jackets-
125 - 2018-04-12667Virginia Mariners-Pittsburgh Yellow Jackets-
127 - 2018-04-14676Pittsburgh Yellow Jackets-Portland Wolves-
134 - 2018-04-21702Toronto Royals-Pittsburgh Yellow Jackets-
141 - 2018-04-28728Halifax Kings-Pittsburgh Yellow Jackets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna42252500180522001250
Prix des Billets95675035180
Assistance95075625406249502831
Attendance PCT75.01%75.00%75.01%75.00%75.49%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 8992 - 75.06% 721,990$2,165,970$11980100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
15,383,969$ 15,383,969$ 0$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jourTaxe de Luxe Totale
1,776,612$ 108,338$ 1,776,612$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
17,327,760$ 125 108,338$ 13,542,250$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
15,971,530$ 15,318,862$ 42,063,134$ 43,419,364$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Sam BrauerAGE:20PO:76OV:78
Timothy JettAGE:29PO:44OV:73
Scot GodekAGE:21PO:48OV:70
Willie MiddaughAGE:26PO:33OV:70
Dean HelmersAGE:33PO:41OV:69
Brett KersonAGE:27PO:14OV:69
Trevor MingoiaAGE:25PO:40OV:68
Paul VickersAGE:19PO:51OV:66
Trevor WeilbacherAGE:22PO:58OV:61
Simon JurekAGE:19PO:42OV:61
Greg BaltzerAGE:21PO:62OV:60
Ben ShibleyAGE:19PO:63OV:58
Jeff CliftonAGE:37PO:14OV:77
Avery LajoieAGE:19PO:66OV:72
Damian LowrieAGE:24PO:25OV:70
Carey SteckleinAGE:21PO:66OV:69
Roy SousaAGE:29PO:42OV:69
Cole LangenbachAGE:26PO:36OV:69
Heath SpeierAGE:26PO:35OV:69
Nathan MoreaAGE:22PO:36OV:66
Richard McMurtryAGE:21PO:47OV:62
Lance TedfordAGE:25PO:23OV:62
Clayton BarrettAGE:19PO:65OV:60
Ralph VallesAGE:30PO:42OV:73
Brent HeneisenAGE:25PO:29OV:68
John SilvisAGE:26PO:14OV:66
Mason SadeAGE:24PO:51OV:65
Edward ZirkAGE:20PO:36OV:62
Michael BillerbeckAGE:19PO:58OV:61
Jared ShoenAGE:19PO:63OV:60
Martin MeldahlAGE:20PO:48OV:59
Trevor BjellandAGE:19PO:45OV:59
Keith LewisAGE:19PO:41OV:58

Défense #1Défense #2Gardien
Jason AbbruzesseAGE:36PO:20OV:78
Marc RoethlerAGE:26PO:27OV:73
Sebastian BooreAGE:29PO:12OV:71
Neil MabraAGE:20PO:47OV:69
Rick KrauseAGE:24PO:42OV:69
Mike HarwoodAGE:34PO:28OV:68
Glenn BrantleyAGE:28PO:23OV:68
Will HetrickAGE:29PO:20OV:68
Tyler WienekeAGE:27PO:13OV:68
Morgan BruingtonAGE:25PO:44OV:66
Will RaynerAGE:27PO:59OV:65
Vaughn WeisgerberAGE:20PO:52OV:65
Anton JennessAGE:19PO:53OV:64
Ellis MulhallAGE:20PO:44OV:63
Arron SanghaniAGE:20PO:49OV:62
Dylan ZukoskiAGE:27PO:7OV:60
Lucas EicheleAGE:20PO:50OV:58
Richard MesserAGE:33PO:54OV:79
Ben LampittAGE:20PO:75OV:74
Ray JuddAGE:30PO:65OV:74
Loren McTeerAGE:25PO:52OV:73
Kevin KrachAGE:22PO:57OV:72
Bryce LudlumAGE:19PO:54OV:72
Todd BelascoAGE:20PO:48OV:72

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
1002Pit Pit Pit Pit Pit Pit Pit Pit
1003Pit Pit Pit Pit Pit Pit Pit Pit
1004Pit Pit Pit Pit Pit Pit Pit Pit
1005Pit Pit Pit Pit Pit Pit Pit Pit
1006Pit Pit Pit Pit Pit Pit Pit Pit



[12/9/2017 3:18:09 PM] - New Record for Team's Most Hits (38) in 1 Game for Pittsburgh Yellow Jackets!
[12/3/2017 2:18:01 PM] - Kevin Krach resigned with Pittsburgh Yellow Jackets for $264,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Ray Judd resigned with Pittsburgh Yellow Jackets for $340,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Nathan Morea resigned with Pittsburgh Yellow Jackets for $387,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Mason Sade resigned with Pittsburgh Yellow Jackets for $375,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Heath Speier resigned with Pittsburgh Yellow Jackets for $498,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Marc Roethler resigned with Pittsburgh Yellow Jackets for $740,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Willie Middaugh resigned with Pittsburgh Yellow Jackets for $523,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - John Silvis resigned with Pittsburgh Yellow Jackets for $393,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Dylan Zukoski resigned with Pittsburgh Yellow Jackets for $257,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Tyler Wieneke resigned with Pittsburgh Yellow Jackets for $446,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Roy Sousa resigned with Pittsburgh Yellow Jackets for $553,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Dean Helmers resigned with Pittsburgh Yellow Jackets for $522,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Lance Tedford resigned with Pittsburgh Yellow Jackets for $278,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Jason Abbruzesse resigned with Pittsburgh Yellow Jackets for $1,778,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Mike Harwood resigned with Pittsburgh Yellow Jackets for $510,000 for 3 year(s).
[9/30/2017 4:53:47 PM] - Toby Burkett was released.
[9/30/2017 4:53:47 PM] - Toby Burkett was forced to retire by Pittsburgh Yellow Jackets
[9/4/2017 8:23:36 PM] - Pittsburgh Yellow Jackets was eliminated at round 1 of year 14.
[9/3/2017 1:47:39 PM] - Johnstown Yellow Jackets didn't make playoff for year 14.
[9/3/2017 10:46:06 AM] - Dylan Zukoski signed with Pittsburgh Yellow Jackets for $200,000 for 1 year(s) with $0 in bonus.
[9/3/2017 10:46:06 AM] - Dylan Zukoski was added to Pittsburgh Yellow Jackets.
[9/1/2017 9:01:22 PM] - New Record for Team's Most Shots Blocked (22) in 1 Game for Pittsburgh Yellow Jackets!
[8/8/2017 7:28:53 PM] - TRADE : From Pittsburgh Yellow Jackets to Brooklyn Dragons : Todd Poderis (69).
[8/8/2017 7:28:53 PM] - TRADE : From Brooklyn Dragons to Pittsburgh Yellow Jackets : John Silvis (66), Willie Middaugh (70).
[8/8/2017 7:28:52 PM] - Willie Middaugh was added to Pittsburgh Yellow Jackets.
[8/8/2017 7:28:52 PM] - John Silvis was added to Pittsburgh Yellow Jackets.
[7/28/2017 10:06:22 PM] - TRADE : From Syracuse Bulls to Pittsburgh Yellow Jackets : Ellis Mulhall (63), Richard McMurtry (62).
[7/28/2017 10:06:22 PM] - TRADE : From Pittsburgh Yellow Jackets to Syracuse Bulls : Joel Eatman (65), Greg Brown (63).
[7/28/2017 10:06:21 PM] - Richard McMurtry was added to Pittsburgh Yellow Jackets.
[7/28/2017 10:06:21 PM] - Ellis Mulhall was added to Pittsburgh Yellow Jackets.
[7/10/2017 8:23:23 PM] - New Record for Team's Most Hits (36) in 1 Game for Pittsburgh Yellow Jackets!



[1/4/2018 5:21:01 PM] Johnstown Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[1/4/2018 5:20:59 PM] Game 86 - Morgan Bruington from Johnstown Yellow Jackets is injured (Fractured Orbital Bone) and is out for 2 weeks.
[1/4/2018 5:20:58 PM] Auto Lines Function has been run for Johnstown Yellow Jackets.
[1/4/2018 5:20:58 PM] Auto Roster Farm Only Function has been run for Pittsburgh Yellow Jackets.
[1/4/2018 5:20:55 PM] Timothy Jett from Pittsburgh Yellow Jackets is back from Strained Groin Injury.
[1/4/2018 5:20:55 PM] Both Pittsburgh Yellow Jackets and Johnstown Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[1/4/2018 5:20:54 PM] Game 76 - Mike Harwood from Johnstown Yellow Jackets is injured (Right Foot) and is out for 1 week.
[1/4/2018 5:20:45 PM] Auto Lines Function has been run for Johnstown Yellow Jackets.
[1/4/2018 5:20:45 PM] Auto Lines Function has been run for Pittsburgh Yellow Jackets.
[1/4/2018 5:20:41 PM] Auto Roster Function has been run for Pittsburgh Yellow Jackets.
[1/4/2018 5:20:41 PM] Willie Middaugh of Pittsburgh Yellow Jackets was sent to farm.
[1/4/2018 5:20:41 PM] Heath Speier of Pittsburgh Yellow Jackets was sent to farm.
[1/4/2018 5:20:41 PM] Damian Lowrie of Pittsburgh Yellow Jackets was sent to farm.
[1/4/2018 5:20:41 PM] Brett Kerson of Pittsburgh Yellow Jackets was sent to farm.
[1/4/2018 5:20:41 PM] Dean Helmers of Pittsburgh Yellow Jackets was sent to pro.
[1/4/2018 5:20:41 PM] Roy Sousa of Pittsburgh Yellow Jackets was sent to pro.
[1/4/2018 5:20:41 PM] Carey Stecklein of Pittsburgh Yellow Jackets was sent to pro.
[12/9/2017 3:18:44 PM] Marc Roethler from Pittsburgh Yellow Jackets is back from Exhaustion.
[12/9/2017 3:18:41 PM] Pittsburgh Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:38 PM] Marc Roethler from Pittsburgh Yellow Jackets is injured from Exhaustion.
[12/9/2017 3:18:35 PM] John Silvis from Pittsburgh Yellow Jackets is back from Left Hip Injury.
[12/9/2017 3:18:35 PM] Both Pittsburgh Yellow Jackets and Johnstown Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:32 PM] Game 50 - John Silvis from Pittsburgh Yellow Jackets is injured (Left Hip) and is out for 5 days.
[12/9/2017 3:18:28 PM] Pittsburgh Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:24 PM] Auto Lines Function has been run for Pittsburgh Yellow Jackets.
[12/9/2017 3:18:24 PM] Auto Roster Partial Function has been run for Pittsburgh Yellow Jackets.
[12/9/2017 3:18:24 PM] Johnstown Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:20 PM] Johnstown Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:17 PM] Marc Roethler from Pittsburgh Yellow Jackets is back from Exhaustion.
[12/9/2017 3:18:15 PM] Pittsburgh Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:14 PM] Marc Roethler from Pittsburgh Yellow Jackets is injured from Exhaustion.
[12/9/2017 3:18:13 PM] Johnstown Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:09 PM] Pittsburgh Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:09 PM] New Record for Team's Most Hits (38) in 1 Game for Pittsburgh Yellow Jackets!
[12/9/2017 3:18:05 PM] Pittsburgh Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:17:48 PM] Auto Lines Function has been run for Johnstown Yellow Jackets.
[12/9/2017 3:17:48 PM] Auto Lines Function has been run for Pittsburgh Yellow Jackets.
[12/9/2017 3:17:44 PM] Auto Roster Function has been run for Pittsburgh Yellow Jackets.
[12/9/2017 3:17:44 PM] Ben Lampitt of Pittsburgh Yellow Jackets was sent to farm.
[12/9/2017 3:17:44 PM] Ray Judd of Pittsburgh Yellow Jackets was sent to pro.
[12/9/2017 3:17:44 PM] Roy Sousa of Pittsburgh Yellow Jackets was sent to farm.
[12/9/2017 3:17:44 PM] Dean Helmers of Pittsburgh Yellow Jackets was sent to farm.
[12/9/2017 3:17:44 PM] Carey Stecklein of Pittsburgh Yellow Jackets was sent to farm.
[12/9/2017 3:17:44 PM] Brett Kerson of Pittsburgh Yellow Jackets was sent to pro.
[12/9/2017 3:17:44 PM] Heath Speier of Pittsburgh Yellow Jackets was sent to pro.
[12/9/2017 3:17:44 PM] Damian Lowrie of Pittsburgh Yellow Jackets was sent to pro.



Mike Harwood est dehors pour 1 jours à cause de Right Foot Injury.
Morgan Bruington est dehors pour 1 semaine à cause de Fractured Orbital Bone Injury.



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
15-1680323310230028827513402112412001711393240112161100117136-19742884847722183971062257791985977722267887575117233836918.02%3226679.50%61004204649.07%952201747.20%577124046.53%167790217327631451743
16-17803230153000251240114016131010001221148401617520001291263792514156661210082663244690275677117244582861816673676216.89%2334580.69%51082198654.48%1014194352.19%634117254.10%174398417007391437749
1001713300001922-330210000811-341120000111105193251008470194715857825182881732913.45%34779.41%28716752.10%10822049.09%549556.84%151821566612764
Total Saison Régulière16765662853005585372183372715220030126437842839133100257273-161585589311489331911831795521718921673160547537417851457356377913216.94%58911879.97%132173419951.75%2074418049.62%1265250750.46%357319703588157030161556