Austin SlaterLF Miami Marlins
Age 33 R/R 6'1" / 205 lbs MLB HR -4%BB +3% Svc 7.855 · Ctrl thru 2026 peak 0.2 · 2026
wRC+†vL 6890vR 60
AVG/OBP/SLG.239 / .322 / .369
PA236
HR6
K%28
BB%10
MLB%100%
BAT: -2.5 runs (wOBA-derived runs vs avg)-3BATRUN: +0.7 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.2 runs (Defensive runs vs avg)-0FLDPOS: -2.5 runs (Positional adjustment)-3POSREP: +6.7 runs (Replacement-level credit)+7REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
5050
PWR
5050
SPD
5555
EYE
5660
trajectory · 10 yrs
0.3peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2017
Service   7.855 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$1M+0.2$0.8M-$0.2M
Totals $1M $0.8M -$0.2M

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
201522 A+3 teams 563531 1402423 201425 85 .264.297.333.630 .070.349 254 .275 68 -20 -0 +0 -6 +16 -1.1
201623 AAA2 teams 450410 11218114 371131 87 .273.335.424.759 .151.344 258 .327 108 +4 -1 +0 -5 +13 1.1
201724 AAA2 teams 333305 851318 19805 43 .279.331.407.738 .128.352 246 .323 105 +2 -0 -1 -4 +9 0.7
201825 MLB2 teams 448401 1122825 3411610 152 .279.351.397.747 .117.378 268 .329 110 +5 +2 -3 -5 +13 1.2
201926 AAA2 teams 488421 10123214 5515011 72 .240.343.404.747 .164.337 3111 .331 111 +6 +1 +0 -5 +14 1.6
202027 MLBSan Francisco Giants 10485 23214 16222 81 .271.398.459.857 .188.322 2115 .375 145 +5 +1 -0 -1 +3 0.8
202128 MLBSan Francisco Giants 306274 6511113 28844 152 .237.317.427.744 .190.294 279 .319 102 +1 +2 +1 +1 +9 1.4
202229 MLBSan Francisco Giants 325277 731427 40896 121 .264.368.404.773 .141.361 2712 .342 120 +7 +2 -1 +1 +9 1.9
202330 MLB2 teams 231207 581006 22662 32 .280.355.415.770 .135.385 2910 .339 118 +5 -0 -0 +1 +7 1.2
202431 MLB2 teams 230194 42503 27655 42 .216.327.289.616 .072.300 2812 .276 69 -8 +0 -1 -2 +7 -0.5
202532 MLB2 teams 195178 42815 16600 10 .236.299.376.675 .140.327 318 .287 78 -5 +0 -0 -2 +6 -0.1
▸ 2026 Season (actual · ROS · total)
202633 MLBMiami Marlins 2823 4000 490 10 .174.296.174.470 .000.267 3214 .226 31 -2 +0 +0 -0 +1 -0.1
ROS33 MLBMIA 208183 44715 21592 31 .240.325.372.697 .131.323 2810 .314 98 -0 +0 -1 -2 +6 0.3
TOT33 MLBMIA 236206 48715 25682 41 .233.322.350.671 .117.319 2911 .304 90 -3 +0 -0 -3 +7 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202734 MLBMIA 194171 41615 19572 20 .240.323.374.697 .135.322 2910 .307 93 -1 +0 -5 -2 +5 -0.3
▸ Career Totals (MLE all levels + projections)
Career 40753637 9381691592 354110355 9028 .258.333.389.721 .131.343 279 .316 100 +1 +7 -12 -31 +115 8.2
/ 162G 650580 15027215 561769 144 .259.333.390.723 .131.344 279 .316 100 +0 +1 -2 -5 +18 1.3

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
201522 AARichmond Flying Squirrels 218199 591110 14483 11 .296.352.362.714 .065.388 226 .322 105 +1 -0 +6 0.7
201522 A+San Jose Giants 265250 731513 10442 43 .292.324.396.720 .104.340 174 .319 102 +1 -0 +8 0.8
201522 INTLScottsdale Scorpions 8068 17410 10190 31 .250.346.338.684 .088.333 2412 .307 93 -1 +0 +2 0.2
201623 AAASacramento River Cats 278245 7312013 33530 26 .298.381.506.887 .208.335 1912 .392 158 +18 -2 +8 2.5
201623 AARichmond Flying Squirrels 172145 46815 24361 61 .317.418.490.907 .172.387 2114 .400 164 +12 +1 +5 1.8
201724 MLBSan Francisco Giants 127117 33313 8292 00 .282.339.402.740 .120.353 236 .333 113 +2 +0 -1 -4 +4 0.1
201724 AAASacramento River Cats 206184 591205 15393 43 .321.381.467.849 .147.380 197 .371 142 +10 -0 +6 1.6
201825 MLBSan Francisco Giants 225199 50611 20695 70 .251.335.307.641 .055.377 319 .298 86 -4 +1 -3 -5 +6 -0.4
201825 AAASacramento River Cats 223195 672425 21395 82 .344.421.564.985 .221.405 179 .428 185 +22 +1 +6 2.9
201926 MLBSan Francisco Giants 192168 40935 22592 10 .238.333.417.750 .179.337 3111 .336 115 +3 +0 +0 -5 +5 0.4
201926 AAASacramento River Cats 296240 7417012 46699 62 .308.437.529.966 .221.388 2316 .426 184 +28 +0 +8 3.8
202027 MLBSan Francisco Giants 10485 24215 16222 81 .282.408.506.914 .224.328 2115 .401 165 +8 +1 -0 -1 +3 1.1
202128 MLBSan Francisco Giants 306274 6612112 28844 152 .241.320.423.744 .182.303 279 .332 112 +4 +2 +1 +1 +9 1.7
202229 MLBSan Francisco Giants 325277 731527 40896 121 .264.368.408.776 .144.361 2712 .350 126 +10 +2 -1 +1 +9 2.2
202330 MLBSan Francisco Giants 207185 50905 20582 22 .270.348.400.748 .130.369 2810 .338 117 +4 -0 -0 +1 +6 1.0
202330 AAASacramento River Cats 2421 7101 370 10 .333.417.524.940 .190.462 2912 .416 176 +2 +0 +1 0.3
202431 MLBBaltimore Orioles 212177 37402 26605 32 .209.327.266.592 .056.294 2812 .279 72 -7 -0 -1 -2 +6 -0.5
202431 AAASacramento River Cats 1817 4001 140 10 .235.278.412.690 .176.250 226 .305 92 -0 +0 +1 0.1
202532 MLBNew York Yankees 160148 32615 11510 10 .216.270.372.642 .155.293 327 .284 76 -4 +0 -0 -2 +5 -0.2
202532 AAAScranton/Wilkes-Barre RailRiders 3527 8100 870 00 .296.457.333.790 .037.400 2023 .377 147 +2 +0 +1 0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 18581630 405661045 19152128 498 .248.337.384.722 .136.336 2810 .326 108 +16 +7 -6 -16 +53 5.4

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
Austin Slater (OGILVIE) 33 50 50 55 60 .239/.322/.369 .129.323 63 28% 10% 98 +0.6
Darnell McDonald
2012 · MLB
33 51→56 51→55 50→55 46 .255/.309/.424 .170.304 1712 22% 7% 106 +2.2 .216/.280/.340 .124.264 1210 22% 8% 72 -0.2 .195/.258/.288.093.2438922%7%47-1.0
Chad Huffman
2018 · MLB
33 45→50 49→50 48→45 48 .227/.308/.382 .155.275 158 23% 8% 96 +1.5 .229/.301/.381 .152.291 176 26% 7% 92 +1.2 .225/.298/.382.157.28819028%7%87+0.5
Nick Martini
2023 · MLB
33 48→58 47→55 46→45 48 .237/.318/.372 .135.301 157 25% 8% 97 +1.5 .231/.312/.396 .165.282 193 24% 9% 101 +1.8 .218/.306/.374.155.26317023%9%90+0.7
Rob Refsnyder
2023 · MLB
32 53→59 50 48→50 50 .261/.344/.421 .160.335 177 26% 10% 120 +3.1 .260/.348/.410 .150.330 1610 24% 10% 119 +3.1 .260/.353/.414.154.32617924%11%116+1.2
Anthony Recker
2017 · MLB
33 42→48 50 48→45 47 .214/.292/.365 .151.283 185 30% 9% 85 +0.7 .212/.279/.357 .145.289 165 31% 7% 77 +0.1 .194/.255/.340.146.26616132%6%59-0.5
Travis Snider
2021 · AAA
33 46→53 46→55 47→50 48 .225/.301/.361 .136.308 138 30% 10% 86 +0.8 .203/.277/.327 .124.336 1311 40% 9% 68 -0.5 .135/.229/.231.096.24712946%10%24-1.0
Cole Gillespie
2016 · MLB
32 52→57 42→50 52→50 50 .253/.311/.364 .111.298 913 18% 8% 90 +1.0 .235/.288/.333 .098.291 611 20% 7% 72 -0.2 .217/.272/.301.084.2794722%7%56-0.4
Corey Hart
2015 · MLB
33 46→56 52→60 52→55 46 .236/.300/.406 .170.280 206 24% 7% 98 +1.6 .220/.274/.367 .147.283 187 28% 6% 77 +0.1 .182/.203/.311.129.25022037%2%24-0.6
Jeff Bailey
2011 · MLB
32 47→49 49→55 49→45 49 .234/.312/.383 .149.283 165 23% 8% 98 +1.6 .218/.292/.349 .131.276 137 25% 8% 80 +0.4 .202/.281/.335.132.25613725%8%69-0.3
Michael Tucker
2005 · MLB
34 51→52 49→55 49→55 56 .252/.335/.412 .160.295 1512 20% 11% 113 +2.6 .236/.326/.372 .136.280 129 19% 11% 100 +1.7 .216/.314/.335.118.26110920%11%82+0.3
Robbie Grossman
2023 · MLB
33 45→55 49→45 51→50 58 .227/.333/.378 .151.282 1614 24% 13% 105 +2.1 .225/.328/.350 .125.291 127 24% 13% 95 +1.4 .220/.330/.335.116.28310423%14%89+0.5
Ricky Ledee
2007 · MLB
33 49→47 50→60 50 51 .245/.316/.405 .160.286 176 21% 9% 104 +2.0 .228/.285/.367 .139.279 165 24% 7% 82 +0.5 .215/.269/.337.122.26515225%6%65-0.4
Juan Lagares
2021 · MLB
32 49→59 44→45 50 47 .239/.302/.359 .120.303 1111 24% 8% 86 +0.8 .227/.269/.354 .127.284 116 23% 5% 70 -0.3 .229/.259/.363.134.28411223%4%67-0.3
Michael A. Taylor
2023 · MLB
32 48→51 46→55 46→60 45 .240/.298/.361 .121.304 1510 26% 7% 85 +0.7 .224/.283/.382 .158.299 2016 31% 7% 85 +0.7 .205/.265/.377.173.279222034%7%74-0.1
Mark Little
2005 · MLB
33 48 42→55 48→55 48 .228/.320/.340 .111.293 910 23% 8% 90 +1.0 .232/.313/.381 .149.310 1616 29% 7% 98 +1.6 .224/.312/.363.139.309141830%6%90+0.6
Chris Dickerson
2015 · MLB
33 51→55 47→50 54→60 46 .245/.316/.386 .141.334 1319 29% 9% 99 +1.7 .240/.308/.366 .126.334 1218 29% 8% 91 +1.1 .224/.305/.328.104.32091730%9%76+0.0
Ildelfonso Lara
2008 · AAA
33 53→54 45 49→45 45 .260/.314/.380 .120.326 136 24% 7% 96 +1.5 .243/.301/.363 .120.307 127 23% 7% 86 +0.8 .232/.293/.344.112.29411424%7%76+0.0
Chris Aguila
2012 · AAA
33 42→52 50→55 47→50 40 .218/.272/.370 .152.293 177 31% 6% 77 +0.1 .221/.278/.350 .129.295 147 29% 6% 74 -0.1 .209/.271/.300.090.27410326%6%56-0.7
Matt Carson
2014 · MLB
33 46→50 48→60 49→50 40 .234/.281/.378 .143.299 1612 27% 5% 82 +0.5 .215/.270/.335 .120.286 1314 29% 6% 67 -0.5 .194/.256/.305.111.256131529%6%53-0.6
Matt Szczur
2021 · MLB
32 46→56 48→45 45→55 47 .233/.293/.377 .144.283 159 23% 8% 87 +0.8 .216/.263/.373 .157.279 198 29% 6% 74 -0.1 .151/.186/.307.156.17823032%4%21-0.7