Pittsburgh Yellow Jackets

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : | Morale : 84 | Team Overall : 71
Next Games #5 vs Rochester Lakers
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name #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 Brauer7X100.009130398072935092738499947084986983810
2Ralph Valles23X98.3311997572585399929994414599993178740
3Jayson Mongeau0X100.009937246673453776688993789599883484730
4Avery Lajoie24X100.003917996877887570676591737099945985720
5Jack Swartz0X99.5011995980627499848784565099934083720
6Dan Rancourt0X100.0081996179385193899494397899991864700
7Pat Plyler0X100.00331997373625480448398308399993883700
8Doug Heigl0X100.009933375792402675597982699999991533690
9Heath Speier37X100.006017776778746580668589297399722770690
10Paul Vickers65X100.004821996677797975396194547087694285690
11John Silvis0X100.004199637840417189759467999973660670
12Caleb Harley58X100.007027137966816181288061585069743887670
13Sebastian Boore22X98.001199578268689846838786599999386720
14Martin Klimek0X100.009628247675787082268690477099665086720
15Neil Mabra64X100.00993086386788260237355757081773985710
16Nathaniel Derrigo0X100.00815996372294898778593528399992986700
17Paul Dreher0X100.009933326080284089847783668399992883690
18Dean Cardozo0X100.00282995980667057164748965099992055680
Scratches
1Evan McNair77X77.6511996280524199919999778999991374770
2Timothy Jett28X81.93341996576282881869489729299993373710
3Ian Vidulich0X100.0011996182123793958696615099991635690
4Damian Lowrie0X100.007411937471767371496284477099991781690
5Evan Musgrave0X100.0011996477335081798882637199992720680
6Allen Schooley0X100.009928486672475685815587609999992119680
7Scott Moyers0X100.00545985482516785776887489399992863680
8Peter Wolchesky0X100.00972752558648694527503290509999169680
9Morgan Bruington0X86.24411997674524658275846925099883434670
10Max Beach0X100.00381996184868255613934915090781333670
TEAM AVERAGE97.92501376657857578062768165729691286770
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Richard Messer100.00595378827398989998717484994285830
2Ben Lampitt100.00686766737093829999587368826891780
Scratches
TEAM AVERAGE100.0064607278729690999965747691558881
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Daniels78717588756555USA422675,000$


Filter Tips
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
# Player Name Team NamePOS 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
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Allen SchooleyPittsburgh Yellow JacketsLW325/6/1986No191 Lbs5 ft11NoNoNo2UFAPro & Farm525,000$525,000$525,000$No
Avery LajoiePittsburgh Yellow JacketsC2110/5/1997No214 Lbs6 ft8NoNoNo2ELCPro & Farm568,269$568,269$568,269$No
Ben LampittPittsburgh Yellow JacketsG229/5/1996No191 Lbs5 ft8NoNoNo1ELCPro & Farm225,999$225,999$225,999$No
Caleb HarleyPittsburgh Yellow JacketsRW196/11/1999No175 Lbs6 ft3NoNoNo3ELCPro & Farm567,308$567,308$567,308$No
Damian LowriePittsburgh Yellow JacketsC252/26/1993No175 Lbs6 ft2NoNoNo2RFAPro & Farm480,000$480,000$480,000$No
Dan RancourtPittsburgh Yellow JacketsLW369/26/1982No216 Lbs6 ft3NoNoNo1UFAPro & Farm624,000$624,000$624,000$No
Dean CardozoPittsburgh Yellow JacketsD283/22/1990No226 Lbs6 ft2NoNoNo1UFAPro & Farm470,000$470,000$470,000$No
Doug HeiglPittsburgh Yellow JacketsC2912/15/1989No263 Lbs7 ft1NoNoNo1UFAPro & Farm450,000$450,000$450,000$No
Evan McNair (Out of Payroll)Pittsburgh Yellow JacketsRW304/13/1988No219 Lbs6 ft5NoNoNo4UFAPro & Farm1,900,000$1,900,000$1,900,000$No
Evan MusgravePittsburgh Yellow JacketsC356/22/1983No207 Lbs6 ft2NoNoNo1UFAPro & Farm525,000$525,000$525,000$No
Heath SpeierPittsburgh Yellow JacketsC275/3/1991No203 Lbs6 ft4NoNoNo1RFAPro & Farm450,611$450,611$450,611$No
Ian VidulichPittsburgh Yellow JacketsLW296/19/1989No227 Lbs6 ft5NoNoNo2UFAPro & Farm580,000$580,000$580,000$No
Jack SwartzPittsburgh Yellow JacketsC314/19/1987No226 Lbs6 ft2NoNoNo3UFAPro & Farm725,000$725,000$725,000$No
Jayson MongeauPittsburgh Yellow JacketsLW298/14/1989No195 Lbs6 ft0NoNoNo1UFAPro & Farm1,250,000$1,250,000$1,250,000$No
John SilvisPittsburgh Yellow JacketsRW273/28/1991No210 Lbs6 ft3NoNoNo1RFAPro & Farm440,000$440,000$440,000$No
Martin KlimekPittsburgh Yellow JacketsD239/30/1995No179 Lbs6 ft2NoNoNo3RFAPro & Farm615,000$615,000$615,000$No
Max BeachPittsburgh Yellow JacketsD2612/14/1992No231 Lbs6 ft7NoNoNo1RFAPro & Farm392,500$392,500$392,500$No
Morgan Bruington (Out of Payroll)Pittsburgh Yellow JacketsD265/6/1992No179 Lbs6 ft5NoNoNo1RFAPro & Farm429,000$429,000$429,000$No
Nathaniel DerrigoPittsburgh Yellow JacketsD359/6/1983No194 Lbs5 ft9NoNoNo2UFAPro & Farm575,000$575,000$575,000$No
Neil MabraPittsburgh Yellow JacketsD2211/5/1996No233 Lbs6 ft8NoNoNo1ELCPro & Farm338,260$338,260$338,260$No
Pat PlylerPittsburgh Yellow JacketsRW275/14/1991No184 Lbs6 ft3NoNoNo1RFAPro & Farm629,506$629,506$629,506$No
Paul DreherPittsburgh Yellow JacketsD354/21/1983No224 Lbs6 ft4NoNoNo2UFAPro & Farm1,000,000$1,000,000$1,000,000$No
Paul VickersPittsburgh Yellow JacketsLW206/2/1998No210 Lbs6 ft4NoNoNo2ELCPro & Farm318,194$318,194$318,194$No
Peter WolcheskyPittsburgh Yellow JacketsD294/22/1989No248 Lbs6 ft6NoNoNo1UFAPro & Farm525,000$525,000$525,000$No
Ralph VallesPittsburgh Yellow JacketsRW3212/23/1986No177 Lbs6 ft4NoNoNo2UFAPro & Farm2,000,000$2,000,000$2,000,000$No
Richard MesserPittsburgh Yellow JacketsG3512/7/1983No227 Lbs6 ft2NoNoNo4UFAPro & Farm2,000,000$2,000,000$2,000,000$No
Sam BrauerPittsburgh Yellow JacketsLW2212/24/1996No173 Lbs6 ft4NoNoNo1ELCPro & Farm584,615$584,615$584,615$No
Scott MoyersPittsburgh Yellow JacketsC337/29/1985No240 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$500,000$500,000$No
Sebastian BoorePittsburgh Yellow JacketsD302/20/1988No237 Lbs6 ft3NoNoNo2UFAPro & Farm1,650,000$1,650,000$1,650,000$No
Timothy Jett (Out of Payroll)Pittsburgh Yellow JacketsLW318/5/1987No204 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$1,000,000$1,000,000$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3028.20209 Lbs6 ft31.73744,609$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
22,338,262$14,003,771$5,807,308$3,900,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam BrauerJack SwartzRalph Valles40122
2Jayson MongeauAvery LajoiePat Plyler30122
3Dan RancourtHeath SpeierCaleb Harley20122
4Paul VickersDoug HeiglJohn Silvis10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian BooreMartin Klimek40122
2Neil MabraNathaniel Derrigo30122
3Paul DreherDean Cardozo20122
4Sebastian BooreMartin Klimek10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam BrauerJack SwartzRalph Valles60122
2Jayson MongeauAvery LajoiePat Plyler40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian BooreMartin Klimek60122
2Neil MabraNathaniel Derrigo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam BrauerRalph Valles60122
2Jayson MongeauJack Swartz40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian BooreMartin Klimek60122
2Neil MabraNathaniel Derrigo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Brauer60122Sebastian BooreMartin Klimek60122
2Ralph Valles40122Neil MabraNathaniel Derrigo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam BrauerRalph Valles60122
2Jayson MongeauJack Swartz40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian BooreMartin Klimek60122
2Neil MabraNathaniel Derrigo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sam BrauerJack SwartzRalph VallesSebastian BooreMartin Klimek
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sam BrauerJack SwartzRalph VallesSebastian BooreMartin Klimek
Extra Forwards
Normal PowerPlayPenalty Kill
Dan Rancourt, Heath Speier, Paul VickersDan Rancourt, Heath SpeierPaul Vickers
Extra Defensemen
Normal PowerPlayPenalty Kill
Paul Dreher, Dean Cardozo, Neil MabraPaul DreherDean Cardozo, Neil Mabra
Penalty Shots
Sam Brauer, Ralph Valles, Jayson Mongeau, Jack Swartz, Avery Lajoie
Goalie
#1 : Richard Messer, #2 : Ben Lampitt


Filter Tips
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
OverallHomeVisitor
# VS Team 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL TGFGA
00000000
Home Games
GPWLOTWOTL TGFGA
00000000
Visitor Games
GPWLOTWOTL TGFGA
00000000
Last 10 Games
WLOTWOTL T
00000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2019-09-035Rochester Lakers-Pittsburgh Yellow Jackets-
4 - 2019-09-0513Rochester Lakers-Pittsburgh Yellow Jackets-
6 - 2019-09-0721Pittsburgh Yellow Jackets-Rochester Lakers-
8 - 2019-09-0929Pittsburgh Yellow Jackets-Rochester Lakers-
10 - 2019-09-1137Rochester Lakers-Pittsburgh Yellow Jackets-
12 - 2019-09-1345Pittsburgh Yellow Jackets-Rochester Lakers-
14 - 2019-09-1553Rochester Lakers-Pittsburgh Yellow Jackets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity42252500180522001250
Ticket Price95675035180
Attendance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
40 0 - 0.00%0$0$1198080

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 19,009,262$ 19,009,262$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 11,450$ 27 3

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 14 0$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 57,642,409$ 57,642,409$



Depth Chart

Left WingCenterRight Wing
Sam BrauerAGE:22PO:69OV:81
Jayson MongeauAGE:29PO:34OV:73
Timothy JettAGE:31PO:33OV:71
Dan RancourtAGE:36PO:18OV:70
Paul VickersAGE:20PO:42OV:69
Ian VidulichAGE:29PO:16OV:69
Allen SchooleyAGE:32PO:21OV:68
Cody WydoAGE:27PO:80OV:67
Logan DuchesneAGE:20PO:45OV:62
Simon JurekAGE:21PO:36OV:60
Ben ShibleyAGE:21PO:59OV:58
*Dana MosseriAGE:21PO:67OV:57
Brent HurstonAGE:21PO:53OV:56
Avery LajoieAGE:21PO:59OV:72
Jack SwartzAGE:31PO:40OV:72
Heath SpeierAGE:27PO:27OV:69
Damian LowrieAGE:25PO:17OV:69
Doug HeiglAGE:29PO:15OV:69
Scott MoyersAGE:33PO:28OV:68
Evan MusgraveAGE:35PO:27OV:68
*Daniel CoadyAGE:18PO:45OV:67
Nathan MoreaAGE:24PO:29OV:67
*Trevor StorjohannAGE:19PO:67OV:63
Guillaume FredinAGE:21PO:44OV:62
Clayton BarrettAGE:21PO:57OV:61
Ben ThornhillAGE:20PO:58OV:60
Trevor MannonAGE:23PO:37OV:58
Evan McNairAGE:30PO:13OV:77
Ralph VallesAGE:32PO:31OV:74
Pat PlylerAGE:27PO:38OV:70
Caleb HarleyAGE:19PO:38OV:67
John SilvisAGE:27PO:6OV:67
Bryan GesellAGE:20PO:33OV:66
Michael BillerbeckAGE:21PO:51OV:61
Jeremy StolsigAGE:20PO:67OV:60
Trevor BjellandAGE:21PO:42OV:59
Jared ShoenAGE:21PO:58OV:58
Martin MeldahlAGE:22PO:44OV:58
Keith LewisAGE:21PO:37OV:58
Jay DemskiAGE:21PO:63OV:57

Defense #1Defense #2Goalie
Martin KlimekAGE:23PO:50OV:72
Sebastian BooreAGE:30PO:3OV:72
Neil MabraAGE:22PO:39OV:71
Nathaniel DerrigoAGE:35PO:29OV:70
Paul DreherAGE:35PO:28OV:69
Dean CardozoAGE:28PO:20OV:68
Peter WolcheskyAGE:29PO:1OV:68
Morgan BruingtonAGE:26PO:34OV:67
Max BeachAGE:26PO:13OV:67
Sam BendleAGE:20PO:68OV:65
*Carson GattAGE:22PO:64OV:65
Anton JennessAGE:20PO:44OV:65
Cody SavinonAGE:19PO:53OV:64
Taylor RichartAGE:26PO:33OV:63
Brad WaltersAGE:20PO:65OV:60
*Boyd GilliesAGE:19PO:65OV:60
Hunter StrahanAGE:20PO:52OV:60
David RyanAGE:24PO:52OV:59
Lucas EicheleAGE:22PO:46OV:58
Richard MesserAGE:35PO:42OV:83
Ben LampittAGE:22PO:68OV:78
Tracy TovarAGE:33PO:53OV:77
Loren McTeerAGE:27PO:46OV:75
Bryce LudlumAGE:21PO:52OV:73
Todd BelascoAGE:22PO:44OV:73
Kevin KrachAGE:24PO:52OV:72

Prospects

Filter Tips
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
Prospect Team NameDraft Year Overall Pick Information Lien

Draft Picks

Year R1R2R3R4R5R6R7R8
17Pit Pit Pit Pit Pit
18Pit Pit Pit Pit Pit Pit Pit Pit
19Pit Pit Pit Pit Pit Pit Pit Pit
20Pit Pit Pit Pit Pit Pit Pit Pit
21Pit Pit Pit Pit Pit Pit Pit Pit



[9/2/2019 1:31:47 PM] - Johnstown Yellow Jackets didn't make playoff for year 16.
[8/30/2019 11:36:28 PM] - TRADE : From Washington Americans to Pittsburgh Yellow Jackets : Taylor Richart (63).
[8/30/2019 11:36:28 PM] - TRADE : From Pittsburgh Yellow Jackets to Washington Americans : Y:17-RND:7-Pit.
[8/30/2019 11:35:13 PM] - TRADE : From Saint John Winterhawks to Pittsburgh Yellow Jackets : Peter Wolchesky (69), Trevor Mannon (58), David Ryan (59), Guillaume Fredin (62), Cody Savinon (64).
[8/30/2019 11:35:13 PM] - TRADE : From Pittsburgh Yellow Jackets to Saint John Winterhawks : Mason Sade (65), Willie Middaugh (68).
[8/30/2019 9:09:49 PM] - TRADE : From Pittsburgh Yellow Jackets to Baltimore Tigers : Trevor Mingoia (68), Rick Krause (67).
[8/30/2019 9:09:49 PM] - TRADE : From Baltimore Tigers to Pittsburgh Yellow Jackets : Ian Vidulich (69).
[8/30/2019 7:00:38 PM] - TRADE : From Pittsburgh Yellow Jackets to Baltimore Tigers : Jon Helmick (65), Y:17-RND:3-Pit.
[8/30/2019 7:00:38 PM] - TRADE : From Baltimore Tigers to Pittsburgh Yellow Jackets : Dan Rancourt (70), Logan Duchesne (62).
[7/3/2019 10:31:44 PM] - TRADE : From Halifax Kings to Pittsburgh Yellow Jackets : Jon Helmick (65), Bryan Gesell (66).
[7/3/2019 10:31:44 PM] - TRADE : From Pittsburgh Yellow Jackets to Halifax Kings : Vaughn Weisgerber (66), Bryan Nardella (65), Y:17-RND:5-Pit.
[6/13/2019 11:17:56 PM] - Richard McMurtry was released.
[6/13/2019 11:17:56 PM] - Pittsburgh Yellow Jackets paid $0 to release Richard McMurtry.
[6/13/2019 11:17:51 PM] - Greg Baltzer was released.
[6/13/2019 11:17:51 PM] - Pittsburgh Yellow Jackets paid $0 to release Greg Baltzer.
[6/13/2019 11:17:46 PM] - Galen Tomkins was released.
[6/13/2019 11:17:46 PM] - Pittsburgh Yellow Jackets paid $0 to release Galen Tomkins.
[6/10/2019 9:50:06 PM] - Dylan Zukoski was released.
[6/10/2019 9:50:06 PM] - Kelly Berenbaum was released.
[6/9/2019 4:31:39 PM] - Johnstown Yellow Jackets hired John Kulcowitz for $300,000 for 3 year(s).
[6/9/2019 4:31:20 PM] - Pittsburgh Yellow Jackets hired Jeff Daniels for $675,000 for 2 year(s).
[6/9/2019 12:34:32 AM] - Bryan Nardella signed with Pittsburgh Yellow Jackets for $312,500 for 2 year(s).
[6/9/2019 12:34:32 AM] - Bryan Nardella was added to Pittsburgh Yellow Jackets.
[6/9/2019 12:34:15 AM] - Dean Cardozo signed with Pittsburgh Yellow Jackets for $470,000 for 1 year(s).
[6/9/2019 12:34:15 AM] - Dean Cardozo was added to Pittsburgh Yellow Jackets.
[6/9/2019 12:33:59 AM] - Nathaniel Derrigo signed with Pittsburgh Yellow Jackets for $575,000 for 2 year(s).
[6/9/2019 12:33:59 AM] - Nathaniel Derrigo was added to Pittsburgh Yellow Jackets.
[6/7/2019 8:55:26 PM] - Allen Schooley signed with Pittsburgh Yellow Jackets for $525,000 for 2 year(s).
[6/7/2019 8:55:26 PM] - Allen Schooley was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:51:57 PM] - Scott Moyers signed with Pittsburgh Yellow Jackets for $500,000 for 2 year(s).
[6/5/2019 9:51:57 PM] - Scott Moyers was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:51:48 PM] - Evan Musgrave signed with Pittsburgh Yellow Jackets for $525,000 for 1 year(s).
[6/5/2019 9:51:48 PM] - Evan Musgrave was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:43:02 PM] - Doug Heigl signed with Pittsburgh Yellow Jackets for $450,000 for 1 year(s).
[6/5/2019 9:43:02 PM] - Doug Heigl was added to Pittsburgh Yellow Jackets.
[6/5/2019 9:22:37 PM] - Jack Swartz signed with Pittsburgh Yellow Jackets for $725,000 for 3 year(s).
[6/5/2019 9:22:37 PM] - Jack Swartz was added to Pittsburgh Yellow Jackets.
[6/2/2019 2:59:45 PM] - Dana Mosseri was added to Pittsburgh Yellow Jackets.



[9/2/2019 1:26:48 PM] Johnstown Yellow Jackets lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Johnstown Yellow Jackets.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Pittsburgh Yellow Jackets.
[9/2/2019 1:26:36 PM] Auto Roster Function has been run for Pittsburgh Yellow Jackets.



Timothy Jett is out for 2 weeks because of a Right Ankle Injury.
Evan McNair is out for 2 weeks because of a Sprained Right Knee Injury.
Morgan Bruington is out for 1 week because of a Groin Injury.
Carson Gatt is out for 2 months because of a Sprained Right Knee Injury.



OverallHomeVisitor
Year 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
Regular Season
16804326632002522312140259411001301092140181722100122122092252421673107978923241284180874518242286269316163766316.76%3225682.61%71067199353.54%1102204653.86%625112455.60%172697217137431397713
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
17-18802735123300223229-640141761200114117-340131862100109112-366223375598026384733242587375277822239580961816203435114.87%2204280.91%21063198253.63%1032194153.17%648118654.64%1771101216797191423741
Total Regular Season32013412443118001014975391607651244500537479581605873197300477496-1931110141695270945325341337119860353531753071799940337426806626146924516.68%109720980.95%204216800752.65%4100794751.59%2484472252.60%692038716826296657092947