Joey BartC Pittsburgh Pirates
Age 29 R/R 6'2" / 242 lbs MLB BB +7% Svc 4.116 · Ctrl thru 2027 peak 1.8 · 2026
wRC+†vL 15795vR 80
AVG/OBP/SLG.243 / .338 / .378
PA354
HR9
K%28
BB%10
MLB%100%
BAT: -2.1 runs (wOBA-derived runs vs avg)-2BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: +3.4 runs (Defensive runs vs avg)+3FLDPOS: +6.3 runs (Positional adjustment)+6POSREP: +10.0 runs (Replacement-level credit)+10REPTotal WAR: +1.80+1.8WAR
Scouting · nowfuture
HIT
4545
PWR
5050
SPD
4545
EYE
5655
trajectory · 10 yrs
1.9peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2020
Service   4.116 yrs.days
Team Control Through   2027
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$3M+1.8$14M+$12M
2027Arb-3$8M+1.7$14M+$6M
Totals $10M $28M +$18M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201821 ROKAZL Giants Orange 2523 5110 1101 00 .217.280.348.628 .130.385 404 .205 15 -2 +0 +0 +0 +1 -0.1
201922 A+3 teams 380356 8012216 171086 54 .225.272.404.676 .180.275 284 .289 80 -9 -1 +0 +7 +11 0.8
202023 MLBSan Francisco Giants 111103 25620 3415 00 .243.297.340.637 .097.403 373 .279 72 -4 +0 +3 +2 +3 0.5
202124 AAASacramento River Cats 279257 581207 161025 00 .226.284.354.638 .128.342 376 .283 75 -8 +0 -0 +5 +8 0.5
202225 MLB2 teams 322290 646012 271205 21 .221.298.366.664 .145.329 378 .292 81 -7 +0 -1 +6 +9 0.7
202326 AAA2 teams 339301 601404 2510510 10 .199.283.286.568 .086.287 317 .263 59 -16 +0 +3 +6 +10 0.3
202427 MLB2 teams 302271 7110013 24776 00 .262.336.443.778 .181.319 258 .343 121 +7 +0 -1 +5 +9 2.0
202528 MLB2 teams 350299 731114 431008 11 .244.354.328.682 .084.354 2912 .306 92 -3 -0 +4 +6 +10 1.7
▸ 2026 Season (actual · ROS · total)
202629 MLBPittsburgh Pirates 3935 6101 2151 00 .171.237.286.523 .114.250 385 .231 35 -3 +0 +1 +1 +1 0.0
ROS29 MLBPIT 315274 651018 31907 20 .237.330.369.699 .131.319 2910 .319 102 +1 +0 +2 +6 +9 1.8
TOT29 MLBPIT 354309 711119 331058 20 .230.320.359.679 .129.313 309 .309 95 -2 +0 +3 +6 +10 1.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLBPIT 362315 741219 36928 10 .235.329.365.694 .130.299 2510 .316 100 -0 +0 +1 +6 +10 1.8
202831 MLBPIT 337293 691119 34877 00 .235.329.372.701 .137.298 2610 .312 97 -1 +0 -0 +6 +10 1.4
202932 MLBPIT 308267 611007 31817 00 .228.325.345.669 .116.296 2610 .307 93 -2 +0 -1 +6 +9 1.1
203033 MLBPIT 271236 52806 27736 00 .220.316.331.646 .110.295 2710 .302 89 -3 +0 -2 +5 +8 0.7
203134 MLBPIT 224195 43705 22625 00 .221.315.333.649 .113.293 2810 .295 84 -4 +0 -3 +4 +6 0.3
203235 MLBPIT 173150 32503 17504 00 .213.310.307.617 .093.291 2910 .288 78 -4 +0 -4 +3 +5 -0.1
▸ Career Totals (MLE all levels + projections)
Career 40983630 8321359103 354119890 126 .229.313.356.670 .127.311 299 .300 88 -56 +0 -1 +73 +116 13.5
/ 162G 650576 13121116 5619014 21 .227.311.351.662 .123.308 299 .300 88 -9 +0 -0 +12 +18 2.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201821 ROKAZL Giants Orange 2523 6110 171 00 .261.320.391.711 .130.375 284 .318 102 +0 +0 +1 0.1
201922 AARichmond Flying Squirrels 8779 25414 7210 02 .316.372.544.916 .228.382 248 .396 161 +6 -1 +2 0.8
201922 A+San Jose Giants 251234 6210212 14503 52 .265.315.479.793 .214.291 206 .348 125 +7 +0 +7 1.5
201922 INTLScottsdale Scorpions 4230 10104 973 00 .333.524.7671.290 .433.316 1721 .538 270 +8 +0 +1 0.9
202023 MLBSan Francisco Giants 111103 24520 3415 00 .233.288.320.609 .087.387 373 .278 71 -4 +0 +3 +2 +3 0.4
202124 AAASacramento River Cats 279252 7415010 21825 00 .294.360.472.832 .179.398 298 .368 140 +13 +0 +8 2.1
202225 MLBSan Francisco Giants 291261 566011 261124 21 .215.296.364.660 .149.326 389 .299 87 -4 +0 -1 +6 +8 0.9
202225 AAASacramento River Cats 3128 8001 261 00 .286.355.393.748 .107.333 196 .340 119 +1 +0 +1 0.2
202326 MLBSan Francisco Giants 9587 18500 3234 00 .207.266.264.530 .057.277 243 .244 45 -6 +0 +3 +6 +3 0.6
202326 AAASacramento River Cats 244206 511206 30696 10 .248.360.393.753 .146.338 2812 .341 119 +5 +0 +7 1.3
202427 MLBPittsburgh Pirates 282253 6711013 22736 00 .265.338.462.801 .198.321 268 .354 129 +9 +0 -1 +5 +8 2.2
202427 AAAIndianapolis Indians 2017 6100 330 00 .353.450.412.862 .059.429 1515 .395 160 +1 +0 +1 0.2
202528 MLBPittsburgh Pirates 332285 711214 40937 11 .249.355.340.696 .091.356 2812 .323 105 +2 -0 +4 +6 +9 2.2
202528 AAAIndianapolis Indians 1813 3000 461 00 .231.444.231.675 .000.429 3322 .347 123 +0 +0 +1 0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 1111989 23639328 9434226 32 .239.321.369.690 .130.335 318 .313 98 -3 -0 +8 +25 +31 6.3

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Joey Bart (OGILVIE) 29 45 50 45 55 .236/.329/.369 .133.301 92 25% 10% 102 +1.1
Pedro Severino
2022 · MLB
29 49→50 48→50 47→45 49 .247/.313/.386 .139.305 164 24% 8% 98 +1.6 .237/.295/.372 .135.302 158 26% 7% 86 +0.8 .222/.275/.349.128.281151126%6%68-0.2
Michael McKenry
2014 · MLB
29 45→46 50→55 44→40 48 .231/.299/.387 .156.280 184 24% 8% 92 +1.2 .243/.325/.408 .165.299 186 24% 10% 109 +2.4 .231/.329/.388.157.29517526%12%101+0.7
George Kottaras
2012 · MLB
29 47→53 50→55 44→30 54 .235/.315/.398 .163.281 175 22% 10% 102 +1.8 .225/.330/.407 .182.286 225 27% 13% 111 +2.5 .187/.318/.372.185.23925132%16%90+0.3
Robinson Chirinos
2013 · MLB
29 50→47 49→60 40→50 47 .249/.313/.398 .149.291 174 21% 7% 102 +1.8 .224/.291/.366 .142.270 164 23% 7% 84 +0.6 .229/.342/.433.204.29526229%11%117+1.9
Steve Holm
2009 · MLB
29 47 48→50 43→40 50 .237/.311/.381 .144.279 164 21% 8% 96 +1.5 .217/.281/.326 .109.267 94 22% 7% 69 -0.4 .192/.254/.284.092.2427123%6%46-0.8
Cameron Rupp
2018 · MLB
29 46→50 53→55 46→30 45 .235/.302/.408 .173.304 203 29% 8% 99 +1.7 .203/.275/.365 .162.293 203 36% 8% 78 +0.2 .167/.242/.315.148.24320039%8%48-0.8
Welington Castillo
2015 · MLB
28 50→58 48→60 47→30 47 .248/.319/.392 .144.308 163 24% 8% 102 +1.9 .250/.310/.427 .177.304 233 25% 7% 108 +2.3 .256/.312/.443.187.31126126%7%109+1.6
Anthony Recker
2013 · MLB
29 43→48 49→50 44→45 46 .220/.291/.370 .150.284 187 28% 8% 85 +0.7 .213/.280/.372 .159.287 206 32% 8% 81 +0.4 .200/.280/.351.151.26619331%9%71-0.1
Jarrod Saltalamacchia
2015 · MLB
30 47→54 52→60 42→40 49 .236/.314/.407 .172.318 203 31% 10% 105 +2.1 .209/.297/.372 .163.301 203 34% 11% 89 +0.9 .167/.261/.323.155.24320038%11%59-0.4
David Bote
2022 · MLB
29 42→48 50→55 47→45 52 .217/.306/.373 .156.261 186 24% 10% 92 +1.2 .224/.293/.375 .151.287 168 27% 7% 87 +0.8 .227/.294/.384.157.29317827%7%87+0.4
John Hicks
2019 · MLB
29 50→51 49→60 44→50 41 .252/.295/.397 .145.322 176 27% 5% 93 +1.3 .230/.270/.397 .167.302 226 31% 5% 83 +0.6 .215/.250/.403.188.28126934%4%73-0.1
Tim Beckham
2019 · MLB
29 50→57 50→55 42→50 43 .250/.303/.407 .157.323 185 28% 7% 99 +1.7 .239/.293/.425 .186.304 235 28% 7% 100 +1.7 .253/.303/.443.190.32725330%6%107+0.8
Gerald Laird
2009 · MLB
29 51→47 45→50 43→50 46 .250/.303/.382 .132.296 127 20% 6% 92 +1.2 .226/.293/.335 .109.263 97 17% 7% 76 +0.1 .263/.333/.361.098.3045314%8%94+0.3
Luis Torrens
2023 · MLB
27 46→49 51→55 46→30 44 .235/.294/.394 .158.299 203 28% 7% 92 +1.2 .230/.285/.371 .141.296 164 27% 6% 82 +0.5 .223/.277/.353.130.27813224%6%73-0.0
Mike Brosseau
2023 · MLB
29 46→56 51→55 52→45 46 .231/.315/.389 .158.304 208 30% 9% 101 +1.8 .214/.285/.353 .139.270 196 27% 7% 79 +0.3 .193/.261/.311.118.23817526%6%55-0.7
Chris Woodward
2004 · MLB
28 51→48 49→50 46→45 48 .255/.313/.414 .158.296 165 20% 7% 105 +2.1 .246/.305/.372 .126.302 104 21% 7% 90 +1.0 .236/.297/.339.103.2986222%7%75-0.0
Andy Ibáñez
2022 · MLB
29 50→55 51→50 44→45 48 .255/.308/.419 .164.285 186 18% 6% 105 +2.1 .245/.299/.388 .143.283 157 19% 7% 92 +1.2 .247/.306/.390.143.28915720%7%94+0.8
Nick Hundley
2013 · MLB
29 46→45 47→55 35→40 46 .228/.291/.371 .143.283 143 24% 8% 85 +0.7 .234/.286/.372 .138.290 164 24% 6% 83 +0.6 .260/.304/.426.166.31118322%6%98+0.9
Scott Sizemore
2014 · MLB
29 53→55 49→50 47→50 55 .257/.345/.412 .155.327 1611 25% 11% 118 +3.0 .227/.289/.343 .116.312 105 28% 7% 76 +0.1 .215/.287/.317.102.2908227%8%66-0.3
Max Ramirez
2013 · MLB
28 48→52 47→55 46→40 45 .239/.298/.369 .130.295 162 25% 7% 87 +0.8 .228/.288/.344 .116.296 133 26% 7% 76 +0.1 .251/.323/.399.149.28917219%9%103+1.1