Ian FarrowOF Bradenton Marauders
Age 24 R/R 6'2" / 215 lbs A BB +7% Svc 0.0 · Ctrl thru 2036
wRC+†59
AVG/OBP/SLG.194 / .259 / .321
PA168
HR4
K%35
BB%7
MLB%0%
BAT: -7.7 runs (wOBA-derived runs vs avg)-8BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.0 runs (Positional adjustment)-1POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: -0.40-0.4WAR
Scouting · nowfuture
HIT
2525
PWR
4545
SPD
4040
EYE
4040
trajectory · 10 yrs
-0.3peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $0.9M $-29M -$30M
Underwater contract
Projected production over the remaining contract is worth -$30M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
202523 A2 teams 219197 30715 171042 01 .152.227.274.501 .122.275 478 .219 26 -18 -0 +0 -1 +6 -1.4
▸ 2026 Season
202624 MLBPIT 168152 30514 12582 21 .197.265.322.587 .125.281 357 .263 59 -8 +0 +0 -1 +5 -0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%PIT 228207 41716 17762 31 .198.265.329.594 .130.283 337 .272 66 -9 +0 +0 -1 +6 -0.3
202826 MLB 25%PIT 307277 571028 241003 41 .206.276.343.619 .137.285 338 .278 71 -10 +0 +0 -2 +9 -0.3
202927 MLB 42%PIT 348314 651229 281123 51 .207.278.344.622 .137.285 328 .280 73 -11 +1 +0 -2 +10 -0.2
203028 MLB 52%PIT 374337 7013210 301204 51 .208.280.347.628 .139.285 328 .280 73 -12 +1 -1 -2 +11 -0.3
203129 MLB 63%PIT 382344 7113210 311244 41 .206.280.343.623 .137.284 328 .278 71 -13 +0 -1 -2 +11 -0.5
203230 MLB 80%PIT 386348 7113210 311264 40 .204.277.339.616 .135.282 338 .275 69 -14 +1 -2 -2 +11 -0.7
203331 MLB 87%PIT 378341 681229 311253 40 .199.272.326.598 .126.281 338 .271 66 -15 +1 -3 -2 +11 -0.8
203432 MLBPIT 363328 651129 291223 30 .198.269.326.596 .128.279 348 .267 62 -16 +1 -4 -2 +10 -1.1
203533 MLBPIT 336303 591028 271153 30 .195.267.320.587 .125.277 348 .261 58 -16 +1 -4 -2 +10 -1.2
203634 MLBPIT 294267 50916 231042 30 .187.257.296.553 .109.275 358 .255 53 -16 +1 -5 -2 +8 -1.4
▸ Career Totals (MLE all levels + projections)
Career 37833415 6771222094 300128635 407 .198.270.328.598 .130.283 348 .269 64 -155 +5 -20 -23 +107 -8.7
/ 162G 650587 11621316 522216 71 .198.270.325.596 .128.282 348 .269 64 -27 +1 -3 -4 +18 -1.5

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
202523 ABradenton Marauders 183161 36916 18611 01 .224.306.404.709 .180.309 3310 .312 97 -1 -0 +5 0.4
202523 ROKFCL Pirates 3629 5101 6121 00 .172.333.310.644 .138.250 3317 .306 92 -0 +0 +1 0.1

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
Ian Farrow (OGILVIE) 24 25 45 40 40 .194/.259/.321 .127.281 42 35% 7% 59 -0.3
Tyreque Reed
2021 · A
24 40→35 49→55 42→40 39 .207/.268/.354 .147.287 174 33% 6% 72 -0.2 .213/.282/.371 .158.322 205 38% 8% 82 +0.5 .197/.271/.358.161.29822340%8%71-0.1
Jacob Butler
2007 · A
24 39→41 47→50 42→30 41 .198/.259/.332 .133.280 154 34% 7% 62 -0.9 .211/.281/.363 .152.279 182 30% 8% 79 +0.3 .208/.286/.371.162.26320028%9%81+0.3
Joe DeCarlo
2018 · A
24 37→38 48→50 44→30 44 .191/.278/.326 .135.272 163 34% 9% 69 -0.4 .197/.269/.322 .125.285 143 34% 7% 64 -0.8 .170/.239/.264.094.25011035%7%33-1.0
Jhalan Jackson
2017 · A
24 38→32 46→50 42→45 37 .195/.245/.327 .132.276 136 34% 6% 54 -1.4 .190/.254/.329 .139.304 166 40% 7% 59 -1.1 .171/.246/.312.140.28718644%8%49-1.1
Jimmy Glowenke
2023 · A
24 37→39 46→45 43→45 37 .192/.258/.321 .130.283 143 36% 6% 59 -1.1 .202/.276/.318 .116.274 126 30% 7% 66 -0.6 .195/.276/.303.107.25512627%7%60-0.7
Ruben Ibarra
2023 · A
24 41→36 48→50 47→30 42 .209/.285/.346 .136.292 176 33% 7% 77 +0.1 .204/.277/.352 .148.277 203 32% 7% 76 +0.0 .191/.269/.345.154.25222133%7%68-0.3
Tate Blackman
2019 · A
24 37→33 45 43→40 40 .191/.258/.310 .119.281 145 36% 7% 56 -1.3 .178/.247/.269 .091.312 95 43% 7% 40 -2.4 .128/.208/.178.050.2595148%8%1-2.8
Logan Hill
2017 · A
24 39→40 45→50 48→45 36 .200/.252/.322 .122.288 1310 34% 5% 56 -1.3 .206/.268/.357 .151.293 185 35% 7% 72 -0.2 .199/.266/.356.156.28020235%7%69-0.3
Quincy Latimore
2013 · AA
24 40→42 47→50 43→50 37 .206/.256/.341 .135.286 158 33% 5% 63 -0.9 .216/.268/.347 .131.287 1410 29% 6% 69 -0.4 .217/.269/.354.137.281151028%6%68-0.3
Jacob Heyward
2019 · A
23 40 45→50 44→50 43 .202/.275/.325 .123.289 1310 33% 8% 66 -0.6 .193/.283/.322 .129.298 149 37% 10% 70 -0.3 .164/.260/.293.129.26017541%10%51-1.0
Johan Mieses
2019 · AA
24 32 52→55 42→50 34 .182/.230/.339 .157.254 213 37% 5% 52 -1.6 .196/.255/.350 .154.253 216 31% 6% 65 -0.7 .194/.269/.375.181.23726731%7%74-0.0
Kevin Padlo
2019 · A
23 36→40 44→55 45→50 45 .183/.265/.303 .120.269 117 35% 9% 57 -1.2 .201/.280/.365 .164.291 199 35% 9% 80 +0.4 .191/.263/.361.170.260211235%8%69-0.3
Nick Quintana
2022 · A
24 33→40 43→45 47→45 44 .172/.252/.279 .107.245 116 33% 8% 46 -2.0 .191/.275/.301 .110.267 115 30% 9% 61 -1.0 .177/.269/.279.102.24610330%10%50-0.8
Yusuf Carter
2009 · A
24 36→34 48→50 50 34 .193/.233/.333 .140.277 1712 37% 5% 50 -1.7 .220/.261/.362 .142.311 179 34% 5% 69 -0.4 .231/.271/.374.143.31819533%5%74-0.0
Jeffrey Eure
2006 · A
25 37→31 46→50 42→45 34 .189/.245/.322 .133.287 144 38% 5% 53 -1.5 .201/.250/.327 .126.292 146 35% 5% 56 -1.3 .196/.243/.318.122.27814534%4%46-0.9
Tyler Reichenborn
2022 · A
24 37→44 42→45 42→50 40 .183/.254/.294 .110.274 98 35% 7% 50 -1.8 .203/.278/.295 .092.278 912 28% 8% 60 -1.0 .202/.282/.286.084.26691426%8%57-0.7
Brandon Parker
2023 · A
24 40 46→45 46→50 42 .196/.281/.327 .130.298 146 36% 8% 70 -0.3 .192/.261/.317 .125.314 1411 40% 7% 59 -1.1 .164/.227/.283.119.279141544%6%33-1.2
Devin Harris
2013 · A
25 35→39 47→55 45→40 37 .185/.240/.321 .136.271 155 37% 6% 50 -1.7 .204/.250/.370 .166.276 193 33% 5% 68 -0.5 .203/.247/.378.174.26621332%5%65-0.5
Taylor Snyder
2019 · A
24 37→32 44→55 46→50 33 .191/.234/.312 .121.281 1211 36% 4% 45 -2.1 .193/.241/.330 .137.293 1612 38% 5% 53 -1.5 .165/.222/.322.157.239221440%7%41-1.2
Chase Strumpf
2022 · AA
24 42→35 44→50 48→45 44 .203/.282/.321 .118.296 117 33% 8% 69 -0.4 .196/.293/.355 .159.317 195 41% 10% 83 +0.6 .180/.284/.345.165.29321342%11%73-0.1