Jaime FerrerOF Cedar Rapids Kernels
Age 23 R/R 6'1" / 218 lbs A+ BB +3% Svc 0.0 · Ctrl thru 2035 peak 0.8 · 2030
wRC+†86
AVG/OBP/SLG.213 / .280 / .334
PA320
HR6
K%27
BB%6
MLB%0%
BAT: -5.1 runs (wOBA-derived runs vs avg)-5BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.9 runs (Positional adjustment)-2POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
3535
PWR
3535
SPD
4040
EYE
4125
trajectory · 10 yrs
0.8peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+0.8$4M+$3M
2031Arb-3$0.9M+0.7$3M+$2M
2032Ext / FA-deal$0.9M+0.5$2M+$1M
2033Ext / FA-deal$0.6M+0.3$1M+$0.9M
2034Ext / FA-deal$5M+0.1$0.5M-$5M
2035Ext / FA-deal$0.6M
Totals $9M $10M +$1M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202421 AFort Myers Mighty Mussels 9379 18700 5148 61 .228.337.316.653 .089.273 155 .296 85 -2 +1 +0 -1 +3 0.1
202522 A+Cedar Rapids Kernels 373333 601524 1610916 11 .180.252.273.525 .093.247 294 .229 33 -28 -0 +0 -2 +11 -2.0
▸ 2026 Season (actual · ROS · total)
202623 A+Cedar Rapids Kernels 6149 12102 9183 00 .245.393.388.781 .143.345 3015 .328 109 +1 +0 +0 -0 +2 0.2
ROS23 MLBMIN 259231 501015 18708 31 .216.296.333.629 .117.287 277 .291 81 -6 +0 +0 -2 +7 0.0
TOT23 MLBMIN 320280 621117 278811 31 .221.314.343.657 .121.296 288 .298 86 -5 +0 +0 -2 +9 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%MIN 398355 811629 299511 51 .228.306.361.667 .132.281 247 .298 87 -6 +1 +0 -2 +11 0.4
202825 MLB 25%MIN 442393 9018210 3410412 61 .229.310.361.671 .132.282 248 .304 90 -5 +1 +0 -3 +13 0.6
202926 MLB 43%MIN 468416 9519211 3711012 61 .228.310.363.673 .135.283 248 .306 93 -4 +1 +0 -3 +13 0.7
203027 MLB 58%MIN 479425 9819212 3911312 61 .231.313.369.682 .139.283 248 .307 93 -4 +1 +0 -3 +14 0.8
203128 MLB 68%MIN 482428 9819212 3911512 61 .229.311.367.678 .138.283 248 .306 92 -4 +1 -1 -3 +14 0.7
203229 MLB 77%MIN 476422 9619211 3911512 51 .227.311.360.671 .133.282 248 .304 90 -5 +1 -1 -3 +13 0.5
203330 MLB 84%MIN 469416 9318211 3811512 50 .224.307.356.663 .132.281 258 .300 88 -6 +1 -2 -3 +13 0.3
203431 MLB 91%MIN 456405 9018210 3711311 40 .222.305.351.655 .128.279 258 .297 85 -8 +1 -3 -3 +13 0.1
203532 MLBMIN 439389 851729 3611111 30 .219.303.342.645 .123.278 258 .292 82 -9 +1 -4 -3 +12 -0.2
203633 MLBMIN 410364 781528 3310710 30 .214.297.332.630 .118.276 268 .287 77 -10 +1 -4 -2 +12 -0.5
203734 MLBMIN 366325 681317 29989 30 .209.292.320.612 .111.274 278 .280 73 -11 +1 -5 -2 +10 -0.8
▸ Career Totals (MLE all levels + projections)
Career 56104981 110022324119 4291389156 629 .221.303.347.650 .126.280 258 .294 83 -108 +9 -20 -34 +159 0.6
/ 162G 650577 12826314 5016118 71 .222.304.350.654 .128.281 258 .294 83 -13 +1 -2 -4 +18 0.1

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
202421 AFort Myers Mighty Mussels 9378 21800 6108 61 .269.380.372.752 .103.304 116 .345 122 +2 +1 +3 0.6
202522 A+Cedar Rapids Kernels 373319 692025 238416 11 .216.296.339.634 .122.270 236 .282 74 -11 -0 +11 -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
Jaime Ferrer (OGILVIE) 23 35 35 40 25 .213/.280/.334 .121.279 64 27% 6% 72 -0.1
Anderson Gomes
2008 · A
23 45→38 43→45 44→50 42 .224/.271/.336 .112.289 117 26% 6% 66 -0.6 .215/.267/.329 .114.297 118 30% 6% 63 -0.8 .160/.218/.266.106.229131035%6%24-0.9
Luis Santana
2022 · AA
23 40 42→45 47→50 40 .200/.259/.300 .100.270 1010 29% 6% 53 -1.5 .216/.274/.342 .126.277 149 26% 6% 70 -0.3 .207/.266/.330.122.25815725%5%61-0.6
Jeremy Farrell
2010 · A
23 44→38 41→45 44→45 40 .212/.269/.310 .098.294 95 30% 6% 59 -1.1 .227/.287/.338 .111.311 106 29% 6% 75 -0.0 .220/.287/.322.102.3078529%6%67-0.3
Jose Vizcaino Jr.
2017 · A
23 45→40 43→45 42→45 42 .220/.279/.333 .113.295 106 28% 6% 69 -0.4 .207/.255/.297 .090.306 78 33% 5% 50 -1.8 .193/.235/.267.074.2956835%4%31-2.3
Cory Vaughn
2012 · A
23 43→40 44→45 44→50 42 .211/.283/.325 .114.290 127 30% 7% 70 -0.3 .201/.277/.328 .127.279 1413 31% 8% 69 -0.4 .187/.266/.311.124.260141632%8%57-0.9
Jimmy Herron
2019 · A
23 45 44→45 42→55 46 .224/.288/.336 .112.272 126 22% 7% 75 -0.0 .194/.268/.288 .094.254 814 25% 8% 53 -1.5 .218/.294/.351.132.264152423%8%78+0.2
Stefan Trosclair
2017 · A
23 44→43 44→50 45→50 42 .218/.283/.330 .112.277 126 25% 6% 71 -0.3 .215/.286/.346 .131.291 147 30% 7% 77 +0.1 .207/.281/.343.135.28415731%7%72-0.1
Ivan Jimenez
2016 · AAA
23 45 41→40 46→55 39 .219/.262/.314 .095.300 910 29% 5% 56 -1.3 .245/.294/.332 .087.318 615 23% 6% 75 -0.0 .272/.336/.356.084.34621820%7%93+0.5
Eddie Silva
2019 · A
23 49→30 45→50 44→45 40 .242/.285/.368 .126.300 118 23% 4% 81 +0.4 .193/.244/.289 .096.253 95 27% 4% 43 -2.2 .158/.212/.237.079.2078228%3%14-3.5
Tyler Saladino
2012 · A
23 44→46 46→45 45→55 42 .217/.280/.356 .139.292 137 29% 7% 76 +0.1 .216/.285/.317 .101.284 820 25% 8% 68 -0.5 .253/.299/.369.116.300112519%5%84+0.4
Jaime Trejo
2008 · AAA
24 41→32 40→45 43→50 37 .204/.244/.293 .089.274 87 29% 4% 44 -2.1 .236/.288/.345 .109.281 1110 20% 5% 77 +0.1 .263/.322/.366.102.305111317%6%94+0.6
Niko Vasquez
2012 · AA
23 39→41 43→50 40→45 46 .196/.269/.309 .112.266 113 29% 8% 60 -1.0 .200/.265/.306 .106.264 94 26% 8% 57 -1.2 .227/.282/.376.149.29019628%6%81+0.2
Clint Coulter
2016 · A
23 41→43 47→50 41→40 45 .211/.285/.353 .141.262 155 25% 7% 79 +0.3 .206/.266/.326 .120.272 124 28% 5% 63 -0.8 .205/.273/.359.153.24919425%5%71-0.1
Weston Wilson
2018 · A
23 46→43 41→55 44→55 39 .220/.272/.322 .102.301 85 29% 5% 63 -0.8 .209/.260/.334 .125.282 148 30% 6% 62 -0.9 .215/.294/.402.188.269262530%10%92+0.8
Josmar Cordero
2015 · A
23 44→41 44→45 46→45 39 .222/.265/.338 .115.270 129 23% 4% 65 -0.7 .221/.265/.330 .109.284 106 25% 4% 63 -0.8 .229/.270/.338.110.2919324%3%64-0.4
Paul Franko
2007 · A
23 43 42→50 44→30 42 .207/.279/.308 .101.287 93 30% 7% 64 -0.8 .215/.287/.311 .096.310 84 31% 7% 68 -0.5 .237/.324/.368.132.32313028%10%100+0.3
Casey Schmitt
2022 · A
23 42→47 46→50 45 42 .213/.262/.339 .125.256 146 23% 5% 64 -0.8 .226/.275/.358 .132.291 156 27% 5% 75 -0.0 .230/.285/.372.142.28017624%6%82+0.3
Juan Portes
2009 · A
23 45→46 42→45 46→45 41 .222/.269/.326 .104.277 108 24% 5% 63 -0.8 .226/.277/.337 .111.277 106 21% 6% 69 -0.4 .220/.274/.332.112.26610420%6%64-0.5
Anthony Giansanti
2012 · A
23 44→39 42→40 44→45 44 .214/.263/.322 .108.256 107 20% 5% 59 -1.1 .221/.268/.309 .088.275 76 21% 5% 58 -1.2 .229/.273/.295.065.2894521%5%52-0.6
Dante Bichette Jr.
2016 · AA
23 42→48 41→40 40 42 .207/.258/.301 .094.275 82 27% 6% 53 -1.5 .226/.286/.323 .097.293 94 24% 7% 69 -0.4 .239/.299/.331.092.2998322%7%74-0.0