Brandon Lowe2B Pittsburgh Pirates
Age 32 L/R 5'9" / 181 lbs MLB BB +7% Svc 8.000 · Ctrl thru 2026 peak 3.1 · 2026
wRC+†vL 83132vR 143
AVG/OBP/SLG.244 / .311 / .470
PA473
HR26
K%27
BB%8
MLB%100%
BAT: +17.4 runs (wOBA-derived runs vs avg)+17BATRUN: +0.5 runs (SB/CS + UBR baserunning)+1RUNFLD: -1.9 runs (Defensive runs vs avg)-2FLDPOS: +1.7 runs (Positional adjustment)+2POSREP: +13.4 runs (Replacement-level credit)+13REPTotal WAR: +3.10+3.1WAR
Scouting · nowfuture
HIT
5050
PWR
6060
SPD
4545
EYE
4840
trajectory · 10 yrs
2.5peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2018
Service   8.000 yrs.days
Team Control Through   2026
First FA Year   2027
DEF 10%
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$12M+3.1$25M+$13M
Totals $12M $25M +$13M

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
201622 ABowling Green Hot Rods 449397 841334 42965 63 .212.295.290.585 .078.268 219 .260 57 -22 +0 +0 +2 +13 -0.8
201723 A+3 teams 537485 11940311 411446 86 .245.312.408.720 .163.323 278 .315 99 -1 -1 +0 +2 +15 1.6
201824 AA3 teams 593528 13132327 541616 104 .248.325.473.798 .225.301 279 .340 118 +12 +0 +0 +2 +17 3.2
201925 MLBTampa Bay Rays 327296 8218218 251135 50 .277.344.534.877 .257.386 358 .372 143 +16 +1 -4 +1 +9 2.4
202026 MLBTampa Bay Rays 224193 559215 25584 30 .285.378.585.964 .301.328 2611 .407 170 +18 +1 +0 +1 +6 2.6
202127 MLBTampa Bay Rays 615535 13331041 681679 71 .249.343.536.880 .288.279 2711 .367 139 +27 +1 -5 +2 +17 4.3
202228 MLB2 teams 283251 571228 27634 10 .227.312.386.699 .159.271 2210 .308 94 -2 +0 -3 +1 +8 0.5
202329 MLB2 teams 453392 8817120 521256 70 .224.324.426.750 .202.272 2811 .328 110 +5 +1 +4 +2 +13 2.5
202430 MLB2 teams 446403 9519323 361235 51 .236.306.469.775 .233.278 288 .333 113 +7 +1 -0 +2 +13 2.2
202531 MLBTampa Bay Rays 553507 12818030 381492 32 .252.307.465.773 .213.293 277 .332 112 +8 -0 -10 +2 +16 1.6
▸ 2026 Season (actual · ROS · total)
202632 MLBPittsburgh Pirates 9784 21407 12231 00 .250.351.548.898 .298.259 2412 .386 154 +6 +0 +1 +0 +3 1.0
ROS32 MLBPIT 376337 8214121 33993 31 .243.316.478.794 .234.280 269 .351 127 +11 +0 -3 +1 +11 2.1
TOT32 MLBPIT 473421 10318128 451224 31 .245.323.492.815 .247.275 2610 .358 132 +17 +0 -2 +2 +13 3.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLBPIT 443397 9616125 39994 20 .242.316.476.792 .234.258 229 .345 122 +11 +0 -8 +2 +13 1.8
202834 MLBPIT 397356 8414121 35923 10 .236.310.458.768 .222.256 239 .338 117 +7 +0 -8 +1 +11 1.3
202935 MLBPIT 343307 7212118 30833 00 .235.309.456.765 .221.253 249 .329 110 +4 +0 -8 +1 +10 0.7
203036 MLBPIT 284256 579114 24722 00 .223.294.430.724 .207.249 258 .318 102 +1 +0 -9 +1 +8 0.1
203137 MLBPIT 221199 437110 18582 00 .216.288.412.700 .196.245 268 .307 93 -2 +0 -9 +1 +6 -0.4
203238 MLBPIT 153139 28407 12411 00 .201.270.381.651 .180.239 278 .294 83 -3 +0 -9 +1 +4 -0.7
▸ Career Totals (MLE all levels + projections)
Career 66975978 143428525313 599174370 6118 .240.316.453.769 .213.283 269 .333 113 +97 +5 -70 +24 +190 25.1
/ 162G 650580 13928230 581697 62 .240.316.450.766 .210.283 269 .333 113 +9 +0 -7 +2 +18 2.4

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
201622 ABowling Green Hot Rods 449379 941535 60775 63 .248.358.343.701 .095.298 1713 .321 104 +2 +0 +13 1.5
201723 AAMontgomery Biscuits 10195 24512 2261 11 .253.276.389.665 .137.319 262 .285 76 -3 -0 +3 -0.0
201723 A+Charlotte Stone Crabs 367315 983439 47653 63 .311.405.524.929 .213.366 1813 .407 169 +29 +0 +10 4.0
201723 INTLSurprise Saguaros 6958 13312 9142 12 .224.348.414.762 .190.262 2013 .344 121 +2 -1 +2 0.3
201824 MLBTampa Bay Rays 148129 30626 16382 21 .233.327.450.776 .217.279 2611 .341 119 +3 +0 +0 +2 +4 1.0
201824 AAADurham Bulls 205181 5514014 22471 01 .304.382.613.996 .309.339 2311 .427 185 +20 -0 +6 2.6
201824 AAMontgomery Biscuits 240199 581718 35553 82 .291.405.508.913 .216.360 2315 .399 163 +17 +1 +7 2.5
201925 MLBTampa Bay Rays 327296 8017217 251135 50 .270.337.514.851 .243.377 358 .371 142 +16 +1 -4 +1 +9 2.4
202026 MLBTampa Bay Rays 224193 529214 25584 30 .269.365.554.919 .285.309 2611 .396 161 +16 +1 +0 +1 +6 2.4
202127 MLBTampa Bay Rays 615535 13231039 681679 71 .247.342.523.865 .277.280 2711 .376 146 +32 +1 -5 +2 +17 4.8
202228 MLBTampa Bay Rays 266235 521028 27613 10 .221.309.383.692 .162.263 2310 .311 96 -1 +0 -3 +1 +8 0.5
202228 AAADurham Bulls 1716 5200 021 00 .312.353.438.790 .125.357 120 .354 129 +1 +0 +0 0.1
202329 MLBTampa Bay Rays 436377 8715121 501196 70 .231.330.443.773 .212.275 2711 .342 120 +10 +1 +4 +2 +12 3.0
202329 AAADurham Bulls 1714 3200 350 00 .214.353.357.710 .143.333 2918 .327 109 +0 +0 +0 0.1
202430 MLBTampa Bay Rays 425385 9419321 331125 51 .244.312.473.785 .229.287 268 .343 121 +10 +1 -0 +2 +12 2.4
202430 AAADurham Bulls 2117 4102 490 00 .235.381.6471.028 .412.333 4319 .435 191 +2 +0 +1 0.3
202531 MLBTampa Bay Rays 553507 13019031 381492 32 .256.311.477.788 .221.297 277 .342 120 +13 -0 -10 +2 +16 2.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 29942657 65712612157 28281736 335 .247.328.481.809 .234.294 279 .354 129 +97 +5 -18 +12 +85 18.5

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
Brandon Lowe (OGILVIE) 32 50 60 45 40 .244/.318/.482 .238.260 274 22% 9% 127 +2.8
Jay Bruce
2019 · MLB
32 47→55 61→65 42→50 52 .251/.321/.476 .225.279 284 22% 9% 125 +3.5 .224/.287/.445 .221.248 304 24% 8% 103 +1.9 .196/.246/.452.256.19238124%6%85+0.3
Derek Dietrich
2021 · MLB
32 45→55 59→60 46→40 46 .240/.336/.455 .215.281 275 25% 8% 127 +3.6 .196/.305/.362 .166.272 204 34% 8% 91 +1.1 .162/.274/.304.142.24117037%7%62-0.4
Mike Moustakas
2021 · MLB
32 46→54 61→65 49→45 53 .248/.322/.470 .223.256 295 18% 9% 124 +3.4 .229/.302/.396 .167.269 204 23% 8% 97 +1.5 .223/.290/.357.134.27416124%7%77+0.1
Pedro Álvarez
2017 · MLB
30 45→47 61→65 47→45 51 .246/.320/.467 .221.285 315 26% 10% 123 +3.3 .232/.286/.425 .193.281 273 27% 7% 98 +1.6 .220/.267/.398.178.26426128%6%79+0.2
Kole Calhoun
2021 · MLB
33 41→51 61→60 46→50 53 .228/.317/.447 .219.254 295 24% 11% 116 +2.8 .225/.299/.401 .176.274 225 26% 9% 97 +1.5 .213/.278/.358.144.26817226%7%74-0.0
Rick Ankiel
2009 · MLB
30 44→48 62→65 45→50 45 .246/.302/.473 .227.272 325 24% 7% 117 +2.9 .238/.298/.415 .177.291 217 25% 7% 99 +1.7 .230/.291/.376.146.29216926%7%81+0.3
Mitch Haniger
2023 · MLB
32 47→57 61→65 47→50 48 .254/.323/.470 .216.289 313 24% 8% 124 +3.4 .227/.297/.390 .163.284 213 27% 8% 93 +1.3 .206/.279/.343.137.26717128%8%71-0.1
Lucas Duda
2018 · MLB
32 42→52 64→65 40→30 54 .235/.332/.483 .248.269 322 26% 11% 131 +3.9 .224/.302/.422 .198.278 263 29% 9% 104 +2.0 .209/.281/.375.167.26622130%7%79+0.1
Salvador Perez
2023 · MLB
33 47→57 66→70 47→30 39 .265/.307/.511 .245.293 362 24% 4% 130 +3.8 .254/.301/.447 .193.287 272 22% 5% 110 +2.4 .248/.299/.435.187.27626021%5%98+1.7
Alex Dickerson
2022 · MLB
32 49→54 56→55 48→45 48 .255/.326/.453 .198.293 244 22% 8% 121 +3.2 .222/.282/.386 .164.268 205 25% 7% 85 +0.7 .196/.249/.341.145.23817125%6%56-0.8
Mike Yastrzemski
2022 · MLB
31 46→49 62→65 46→50 51 .250/.331/.491 .241.292 296 25% 10% 133 +4.0 .228/.315/.428 .200.277 236 25% 10% 110 +2.4 .230/.321/.425.195.27222523%11%107+1.7
Brandon Moss
2016 · MLB
32 46→51 60→65 44→45 51 .244/.328/.463 .219.295 283 27% 10% 124 +3.4 .229/.305/.455 .226.281 313 30% 9% 114 +2.7 .216/.292/.459.242.25735231%9%106+1.5
Jorge Cantu
2015 · AAA
33 43→53 67→60 48→40 45 .251/.304/.502 .251.260 386 22% 6% 126 +3.5 .260/.315/.436 .176.292 226 19% 6% 112 +2.6 .255/.313/.410.155.29618420%6%105+1.4
Matt Adams
2020 · MLB
31 44→54 63→65 46→40 44 .244/.300/.475 .231.283 332 27% 7% 117 +2.9 .227/.287/.405 .178.288 246 29% 7% 92 +1.2 .190/.228/.322.132.26019035%4%42-1.5
Brad Miller
2022 · MLB
32 44→54 61→60 49→50 53 .237/.326/.458 .222.288 296 28% 11% 122 +3.3 .223/.302/.380 .157.288 218 28% 10% 92 +1.2 .201/.278/.312.110.26316629%9%62-0.3
Dan Uggla
2012 · MLB
32 46→54 59→65 41→45 55 .248/.335/.456 .208.279 283 23% 11% 126 +3.5 .216/.324/.396 .180.267 234 27% 13% 106 +2.2 .193/.318/.356.163.24721329%14%90+0.8
Didi Gregorius
2021 · MLB
31 49→55 56→60 46→50 51 .257/.314/.451 .194.260 248 13% 7% 115 +2.8 .224/.284/.372 .148.242 166 15% 6% 82 +0.5 .200/.264/.329.129.21913416%6%60-0.5
David Dellucci
2007 · MLB
33 49→46 61→65 46→50 57 .261/.358/.492 .231.297 287 22% 12% 144 +4.8 .247/.323/.426 .179.291 196 21% 9% 113 +2.6 .232/.302/.379.147.28114622%7%87+0.3
Logan Morrison
2019 · MLB
31 41→51 59→65 47→45 55 .229/.321/.440 .211.254 284 23% 11% 116 +2.8 .236/.309/.458 .222.257 304 22% 8% 116 +2.8 .246/.299/.515.270.24540021%5%123+1.5
Marcus Thames
2009 · MLB
32 43→46 69→70 38→40 45 .249/.304/.513 .264.271 394 26% 7% 129 +3.7 .248/.309/.448 .200.294 283 26% 8% 113 +2.6 .253/.322/.428.175.30525025%9%108+1.2