Harrison BaderLF San Francisco Giants
INJURED · Injured 10-Day (D10)
Age 32 R/R 5'11" / 219 lbs MLB BB -3% Svc 8.174 · Ctrl thru 2027 peak 0.5 · 2027
wRC+†vL 3752vR 70
AVG/OBP/SLG.238 / .304 / .386
PA197
HR6
K%25
BB%7
MLB%100%
BAT: -10.8 runs (wOBA-derived runs vs avg)-11BATRUN: +1.0 runs (SB/CS + UBR baserunning)+1RUNFLD: +1.4 runs (Defensive runs vs avg)+1FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +5.6 runs (Replacement-level credit)+6REPTotal WAR: -0.30-0.3WAR
Scouting · nowfuture
HIT
4545
PWR
5050
SPD
6060
EYE
4340
trajectory · 10 yrs
0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2017
Service   8.174 yrs.days
Team Control Through   2027
First FA Year   2028
OPT
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$10M
2027Ext / FA-deal$10M+0.5$2M-$8M
Totals $20M $0.9M -$20M
Options · projected decision
2028MUTUAL OPT$2026.0M / $0.0M buyoutDECLINE
2029MUTUAL OPT$10.0M / $1.5M buyoutDECLINE

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
201521 APeoria Chiefs 228211 52827 10566 156 .246.300.403.702 .156.302 254 .304 91 -2 +1 +0 +1 +6 0.6
201622 AA3 teams 603555 12418617 3019714 1715 .223.280.369.650 .146.310 335 .281 73 -18 -3 +0 +2 +17 -0.2
201723 AAA2 teams 571526 11716118 2917511 1710 .222.277.359.637 .137.294 315 .276 70 -20 -1 +1 +2 +16 -0.1
201824 MLBSt. Louis Cardinals 427379 10021213 3112511 153 .264.337.433.770 .169.355 297 .334 113 +6 +2 +14 +2 +12 3.7
201925 MLB2 teams 481412 8717219 5213814 143 .211.320.400.721 .189.265 2911 .315 99 -1 +2 +9 +2 +14 2.6
202026 MLBSt. Louis Cardinals 125106 25824 13405 31 .236.347.462.809 .226.333 3210 .347 123 +3 +0 +2 +0 +4 1.0
202127 MLBSt. Louis Cardinals 401367 9720117 27855 94 .264.323.463.787 .199.300 217 .335 115 +7 +0 +11 +1 +11 3.1
202228 MLB2 teams 336314 801236 16664 183 .255.299.369.669 .115.303 205 .290 80 -8 +2 +4 +1 +10 1.0
202329 MLB3 teams 383357 771326 18693 213 .216.259.314.573 .098.248 185 .250 50 -22 +3 +6 +1 +11 -0.0
202430 MLBNew York Mets 437402 9619012 21958 178 .239.290.376.666 .137.279 225 .288 79 -11 +0 +7 +2 +12 1.1
202531 MLBPhiladelphia Phillies 501448 12025115 3913611 117 .268.341.429.770 .161.350 278 .338 116 +9 -1 +3 +2 +14 2.8
▸ 2026 Season (actual · ROS · total)
202632 MLBSan Francisco Giants 5552 6101 2170 00 .115.148.192.340 .077.143 314 .151 -26 -8 +0 -0 +0 +2 -0.6
ROS32 MLBSF 142130 28504 9362 41 .215.277.346.623 .131.278 256 .292 82 -3 +0 +2 +1 +4 0.4
TOT32 MLBSF 197182 34605 11532 41 .187.241.302.543 .115.230 276 .253 52 -11 +0 +1 +1 +6 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLBSF 408372 8215111 26927 102 .220.284.355.639 .134.261 236 .287 78 -10 +1 +0 +1 +12 0.4
202834 MLBSF 363331 7213110 23856 81 .218.281.353.634 .136.259 236 .280 73 -11 +1 -1 +1 +10 0.1
▸ Career Totals (MLE all levels + projections)
Career 54064910 115721024159 3441395107 17967 .236.300.385.685 .150.294 266 .299 87 -79 +9 +58 +19 +153 16.4
/ 162G 650590 13925319 4116813 228 .236.300.385.684 .149.294 266 .299 87 -10 +1 +7 +2 +18 2.0

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
201521 APeoria Chiefs 228206 621129 15446 156 .301.366.505.870 .204.344 197 .382 151 +13 +1 +6 2.1
201622 AAAMemphis Redbirds 161147 34713 11383 23 .231.298.354.652 .122.292 247 .295 84 -3 -1 +5 0.1
201622 AASpringfield Cardinals 356318 9012416 259310 1110 .283.354.497.851 .214.349 267 .372 143 +17 -2 +10 2.6
201622 INTLGlendale Desert Dogs 8679 24212 5141 42 .304.353.430.783 .127.344 166 .346 123 +2 +0 +2 0.5
201723 MLBSt. Louis Cardinals 9285 20303 5241 21 .235.286.376.662 .141.288 265 .293 83 -2 +0 +1 +2 +3 0.4
201723 AAAMemphis Redbirds 479431 12218120 3411810 159 .283.349.469.818 .186.345 257 .360 134 +18 -1 +14 3.2
201824 MLBSt. Louis Cardinals 427379 10020212 3112511 153 .264.337.422.759 .158.358 297 .336 115 +7 +2 +14 +2 +12 3.7
201925 MLBSt. Louis Cardinals 406347 7114312 4611710 113 .205.315.366.681 .161.268 2911 .308 94 -3 +1 +9 +2 +12 2.1
201925 AAAMemphis Redbirds 7563 20307 8164 30 .317.427.6981.125 .381.325 2111 .480 225 +11 +1 +2 1.4
202026 MLBSt. Louis Cardinals 125106 24724 13405 31 .226.339.443.782 .217.317 3210 .346 123 +3 +0 +2 +0 +4 1.0
202127 MLBSt. Louis Cardinals 401367 9821116 27855 94 .267.326.460.786 .193.306 217 .346 123 +10 +0 +11 +1 +11 3.5
202228 MLBNew York Yankees 313292 731035 15624 173 .250.296.356.652 .106.300 205 .292 81 -7 +2 +4 +1 +9 1.0
202228 AASomerset Patriots 2321 6201 230 10 .286.348.524.872 .238.294 139 .381 150 +1 +0 +1 0.2
202329 MLBCincinnati Reds 344319 741227 17593 203 .232.277.348.625 .116.261 175 .277 70 -12 +3 +6 +1 +10 0.8
202329 AAAScranton/Wilkes-Barre RailRiders 2119 2000 230 10 .105.190.105.296 .000.125 1410 .153 -25 -3 +0 +1 -0.2
202329 AASomerset Patriots 1818 3100 050 00 .167.167.222.389 .056.231 280 .172 -10 -2 +0 +1 -0.2
202430 MLBNew York Mets 437402 9519012 21958 178 .236.288.373.661 .137.276 225 .292 82 -9 +0 +7 +2 +12 1.2
202531 MLBPhiladelphia Phillies 501448 12424117 3913611 117 .277.349.449.798 .172.359 278 .354 129 +16 -1 +3 +2 +14 3.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career 30462745 6791301488 21474358 10533 .247.315.401.716 .154.305 247 .318 102 +6 +8 +58 +13 +86 17.4

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
Harrison Bader (OGILVIE) 32 45 50 60 40 .223/.286/.363 .140.262 66 22% 6% 82 +0.2
Jason Repko
2012 · MLB
31 45→48 46→50 53→55 44 .227/.283/.349 .122.282 1421 25% 6% 76 +0.0 .217/.276/.349 .132.279 1414 27% 6% 73 -0.1 .190/.253/.336.146.240151027%6%56-0.5
Adam Engel
2023 · MLB
31 48 47→50 54→60 41 .238/.294/.376 .138.307 1423 26% 6% 88 +0.9 .211/.287/.344 .133.316 1424 35% 8% 76 +0.1 .174/.267/.305.130.277143039%10%56-0.8
Chase d'Arnaud
2019 · MLB
32 47→49 46→45 56→60 46 .231/.293/.361 .130.293 1324 25% 7% 83 +0.6 .201/.267/.327 .126.287 1417 33% 7% 64 -0.8 .155/.226/.250.096.233111537%6%25-2.1
Hernán Pérez
2023 · MLB
32 47→56 45→50 55 40 .234/.275/.354 .120.294 1422 26% 5% 73 -0.1 .224/.270/.359 .135.284 1617 26% 6% 72 -0.2 .208/.257/.346.139.257181427%6%63-0.4
Bobby Smith
2006 · AAA
32 48→49 45→50 53→50 44 .239/.288/.361 .122.286 1311 22% 6% 80 +0.4 .230/.273/.361 .131.307 1411 29% 5% 74 -0.1 .214/.247/.354.141.30814735%4%58-0.4
Justin Leone
2009 · AAA
32 40→41 50 52→55 50 .210/.290/.362 .152.264 1817 27% 10% 82 +0.5 .193/.264/.323 .130.271 1414 32% 8% 61 -1.0 .130/.199/.223.093.1949637%8%8-1.9
Kristopher Negrón
2018 · MLB
32 44→50 43→45 54→55 40 .217/.271/.330 .113.283 1117 27% 5% 66 -0.6 .228/.288/.354 .126.327 1415 33% 6% 79 +0.3 .226/.291/.350.124.335151435%7%75+0.0
Damon Hollins
2006 · MLB
32 50 50→55 50→45 49 .253/.309/.409 .156.283 1813 18% 7% 102 +1.9 .231/.285/.401 .170.258 218 20% 7% 90 +1.0 .202/.260/.366.165.22521422%7%67-0.3
Wynton Bernard
2023 · MLB
32 48→58 47→45 60 43 .241/.287/.383 .142.290 1429 22% 6% 85 +0.7 .241/.289/.358 .117.302 1133 23% 6% 80 +0.4 .237/.288/.336.099.30283923%6%70-0.2
Dewayne Wise
2010 · MLB
32 48→40 50→60 57→55 42 .241/.286/.412 .170.283 1622 22% 5% 93 +1.3 .241/.280/.397 .156.294 1421 23% 4% 86 +0.8 .241/.277/.398.157.296152724%4%82+0.2
Jayson Nix
2014 · MLB
31 45→49 43→55 53→55 45 .220/.287/.336 .116.289 1117 27% 7% 74 -0.1 .202/.255/.294 .092.265 811 26% 6% 50 -1.8 .171/.213/.240.070.2236426%5%15-1.7
Jake Marisnick
2023 · MLB
32 46→54 47→60 53→55 38 .226/.283/.365 .140.314 1416 32% 5% 80 +0.4 .217/.286/.364 .147.301 1518 31% 7% 82 +0.5 .208/.286/.371.163.288172032%8%80+0.1
Charlie Culberson
2022 · MLB
33 49→52 47→45 52→50 44 .243/.295/.388 .145.306 1412 25% 6% 91 +1.1 .231/.277/.348 .117.308 1112 27% 6% 72 -0.2 .214/.243/.287.073.30571231%4%40-0.5
Matt Carson
2013 · MLB
32 47→50 52→60 50 40 .241/.286/.409 .169.298 1913 26% 5% 93 +1.3 .224/.274/.352 .128.296 1413 28% 5% 72 -0.2 .207/.263/.317.110.275131529%5%58-0.7
Andy Burns
2022 · MLB
31 43→53 49→50 49→55 51 .220/.299/.366 .147.274 1613 26% 10% 87 +0.8 .200/.275/.314 .114.287 1112 32% 9% 63 -0.8 .172/.248/.262.091.24910833%9%37-1.4
Christian Zazueta
2017 · AAA
32 49→55 46→50 58→60 37 .245/.268/.375 .130.287 1427 20% 2% 76 +0.0 .233/.257/.339 .106.274 1128 19% 2% 61 -1.0 .231/.256/.320.088.26882717%2%52-1.0
Marshall McDougall
2011 · AAA
32 47→56 50→55 52→45 46 .242/.282/.393 .151.257 1910 15% 5% 87 +0.8 .270/.319/.440 .170.297 217 17% 7% 115 +2.7 .287/.339/.465.178.31423416%7%124+1.7
Jack Mayfield
2022 · MLB
31 42→45 54→55 50 43 .226/.275/.406 .180.256 239 23% 6% 88 +0.9 .214/.260/.348 .134.262 1511 24% 5% 66 -0.6 .189/.228/.296.107.237101225%4%36-1.4
Don Kelly
2012 · MLB
32 50→59 46→45 54→55 47 .249/.295/.374 .125.270 1414 15% 6% 87 +0.8 .222/.292/.329 .107.248 1210 16% 9% 75 -0.0 .213/.301/.291.078.24581215%11%63-0.3
Jonathan Davis
2022 · MLB
30 41→51 45 52→55 47 .202/.302/.325 .123.271 1219 28% 9% 79 +0.3 .222/.307/.336 .114.302 1022 28% 9% 83 +0.6 .221/.303/.332.112.308102229%9%76+0.0