Jose CordobaCF Peoria Chiefs
Age 23 R/R 5'11" / 165 lbs A+ HR -7%K -4% Svc 0.0 · Ctrl thru 2035 peak 0.9 · 2030
wRC+†68
AVG/OBP/SLG.214 / .279 / .322
PA216
HR3
SB9
K%25
BB%7
MLB%0%
BAT: -7.8 runs (wOBA-derived runs vs avg)-8BATRUN: +1.7 runs (SB/CS + UBR baserunning)+2RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +6.1 runs (Replacement-level credit)+6REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
4449
PWR
3338
SPD
5358
EYE
4348
trajectory · 10 yrs
0.9peak
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+0.9$4M+$3M
2031Arb-3$0.9M+0.8$4M+$3M
2032Ext / FA-deal$0.9M+0.7$3M+$2M
2033Ext / FA-deal$1M+0.5$2M+$1M
2034Ext / FA-deal$1M+0.2$1M+$0.0M
2035Ext / FA-deal$7M
Totals $12M $15M +$2M
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
202118 ROKDSL Cardinals Blue 160146 23212 6467 54 .158.226.226.452 .068.212 294 .200 11 -16 -1 +0 +1 +5 -1.2
202219 ROKFCL Cardinals 125111 16302 10462 54 .144.228.225.453 .081.215 378 .209 18 -12 -1 +0 +0 +4 -0.8
202320 ROK2 teams 131120 30621 7322 42 .250.302.358.661 .108.330 245 .284 76 -4 +0 +0 +0 +4 0.1
202421 APalm Beach Cardinals 371343 611334 181056 164 .178.232.268.500 .090.242 285 .217 24 -32 +2 +0 +1 +11 -1.9
202522 A3 teams 230207 451421 17515 124 .217.293.319.611 .101.282 227 .266 62 -10 +1 +0 +1 +7 -0.2
▸ 2026 Season (actual · ROS · total)
202623 A+Peoria Chiefs 3835 8011 2111 40 .229.289.371.661 .143.304 295 .267 63 -2 +1 +0 +0 +1 0.0
ROS23 MLBSTL 178161 35822 12453 51 .217.284.329.613 .112.283 257 .276 69 -6 +1 +0 +1 +5 0.0
TOT23 MLBSTL 216196 43833 14564 91 .219.285.337.622 .117.290 266 .274 68 -8 +1 +0 +1 +6 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%STL 269243 551225 20614 82 .226.296.354.650 .128.279 237 .290 80 -6 +1 +0 +1 +8 0.3
202825 MLB 25%STL 343308 711537 26776 102 .231.303.367.670 .136.281 228 .296 85 -6 +1 +0 +1 +10 0.6
202926 MLB 43%STL 391351 811738 31886 102 .231.304.365.669 .134.282 238 .299 87 -6 +1 +0 +1 +11 0.8
203027 MLB 58%STL 414371 861839 33947 112 .232.307.369.676 .137.282 238 .300 88 -6 +1 +0 +1 +12 0.9
203128 MLB 68%STL 425381 871839 34977 102 .228.303.362.666 .134.282 238 .299 87 -6 +1 -1 +2 +12 0.8
203229 MLB 77%STL 425381 861838 34987 101 .226.301.352.653 .126.281 238 .297 85 -7 +2 -1 +2 +12 0.7
203330 MLB 84%STL 422378 851838 34997 91 .225.301.352.653 .127.280 238 .294 83 -8 +1 -2 +2 +12 0.5
203431 MLB 91%STL 412370 821738 33986 70 .222.296.349.644 .127.278 248 .290 80 -9 +1 -3 +1 +12 0.2
203532 MLBSTL 395354 781637 32966 60 .220.296.342.638 .121.277 248 .285 76 -11 +1 -4 +1 +11 -0.0
203633 MLBSTL 367329 711436 29926 60 .216.291.331.623 .116.275 258 .280 72 -11 +1 -4 +1 +10 -0.3
203734 MLBSTL 323289 601225 26845 50 .208.284.315.599 .107.274 268 .273 67 -12 +1 -5 +1 +9 -0.6
▸ Career Totals (MLE all levels + projections)
Career 53814843 10522214192 402130992 13931 .217.290.337.626 .120.277 247 .280 73 -167 +15 -20 +19 +152 0.0
/ 162G 650585 12727511 4915811 174 .217.290.337.627 .120.276 248 .280 73 -20 +2 -2 +2 +18 -0.0

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
202118 ROKDSL Cardinals Blue 160142 32323 10357 54 .225.308.338.646 .113.276 226 .295 84 -3 -1 +5 0.1
202219 ROKFCL Cardinals 125106 25505 15332 54 .236.341.425.766 .189.286 2612 .339 117 +2 -1 +4 0.6
202320 APalm Beach Cardinals 4437 10210 472 00 .270.372.378.750 .108.333 169 .336 115 +1 +0 +1 0.2
202320 ROKFCL Cardinals 8779 29621 7150 42 .367.419.532.950 .165.438 178 .414 175 +7 +0 +2 1.0
202421 APalm Beach Cardinals 371336 781935 24696 164 .232.294.351.645 .119.277 196 .288 79 -9 +2 +11 0.3
202522 A+Peoria Chiefs 6257 15500 3112 50 .263.323.351.673 .088.326 185 .307 93 -0 +1 +2 0.2
202522 APalm Beach Cardinals 147124 341021 19193 74 .274.384.411.795 .137.314 1313 .358 132 +5 -0 +4 0.9
202522 ROKFCL Cardinals 2120 1000 160 00 .050.095.050.145 .000.071 295 .076 -83 -4 +0 +1 -0.4

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
Jose Cordoba (OGILVIE) 23 44→49 33→38 53→58 48 .214/.279/.322 .109.281 35 25% 7% 68 -0.2
Corey Toups
2016 · A
23 48→47 41→45 56→50 46 .230/.290/.340 .110.297 716 24% 7% 76 +0.0 .212/.273/.328 .116.301 1016 31% 6% 66 -0.6 .197/.262/.309.112.294101634%7%54-1.0
Phillip Ervin
2015 · A
23 43→52 43→50 56→55 44 .210/.266/.328 .118.264 916 24% 6% 63 -0.9 .209/.281/.330 .121.263 1223 24% 8% 71 -0.3 .238/.302/.379.141.300142124%7%88+0.7
P.J. Higgins
2016 · A
23 44→54 41→45 54→40 42 .215/.265/.321 .106.286 88 27% 6% 59 -1.1 .230/.300/.300 .070.287 34 19% 8% 69 -0.4 .241/.304/.366.126.30713324%8%87+0.5
Hoy Park
2019 · A
23 44→50 39→45 56→55 49 .210/.288/.294 .085.276 617 25% 9% 63 -0.8 .228/.306/.323 .095.301 716 25% 9% 79 +0.3 .219/.306/.338.119.290131827%10%79+0.2
Danny Worth
2009 · AA
23 48→53 42→45 56→50 45 .230/.286/.340 .110.297 812 24% 7% 74 -0.1 .219/.269/.305 .086.293 612 26% 6% 57 -1.2 .227/.289/.333.106.29491825%7%70-0.2
Jacob Young
2022 · A
23 43→53 38→40 57→60 43 .206/.257/.288 .083.264 520 24% 6% 48 -1.9 .238/.299/.313 .075.302 431 21% 6% 72 -0.2 .248/.310/.323.074.31133620%6%76+0.1
Kelby Tomlinson
2012 · A
22 49→59 40 55→60 44 .234/.284/.337 .103.297 613 23% 6% 72 -0.2 .216/.269/.274 .058.292 221 25% 6% 49 -1.8 .274/.334/.339.065.33432417%7%89+0.7
Efrain Contreras
2010 · A
23 46 41→45 53→55 43 .224/.286/.324 .100.285 912 24% 6% 71 -0.3 .196/.248/.273 .077.288 67 32% 5% 40 -2.4 .164/.209/.224.060.2426534%4%9-2.2
Tyler Goeddel
2016 · AA
23 47→49 43→45 56→55 43 .228/.282/.346 .118.301 919 26% 6% 74 -0.1 .220/.281/.327 .107.284 915 24% 7% 69 -0.4 .203/.270/.296.093.26271224%7%53-0.8
Sean Godfrey
2015 · A
23 50→46 41→45 57→55 38 .240/.274/.347 .106.307 717 24% 3% 70 -0.3 .226/.254/.323 .097.291 713 24% 3% 55 -1.4 .221/.244/.312.092.28271324%2%44-1.0
Marty Costes
2019 · A
23 47→57 42→45 52→50 46 .224/.305/.337 .112.272 811 20% 6% 82 +0.5 .229/.308/.337 .108.278 1010 20% 8% 84 +0.6 .241/.330/.348.107.31381623%9%93+0.6
Kristopher Negrón
2009 · A
23 44→50 40→45 56→55 42 .211/.267/.303 .093.265 719 23% 5% 56 -1.3 .221/.280/.320 .099.285 820 24% 6% 66 -0.6 .225/.289/.349.123.323141432%7%74-0.0
Noel Cuevas
2015 · AA
23 45→50 42→45 54→55 40 .219/.262/.326 .107.279 917 25% 5% 60 -1.0 .233/.267/.328 .095.304 718 25% 4% 62 -0.9 .249/.283/.353.103.31081222%3%72-0.1
Kraig Binick
2008 · A
23 46 42→40 56→55 47 .223/.293/.329 .106.270 911 20% 7% 75 -0.0 .217/.276/.318 .101.254 912 18% 5% 65 -0.7 .227/.286/.292.066.24372610%4%59-0.5
Maikel Garcia
2022 · A
22 50→56 39→45 58→60 50 .237/.300/.330 .093.298 521 21% 8% 77 +0.1 .243/.299/.343 .100.308 727 22% 7% 80 +0.4 .251/.312/.364.113.29592717%8%88+1.0
Austin Wates
2012 · A
23 52→57 39→40 54→55 44 .246/.297/.335 .089.303 616 21% 6% 76 +0.1 .254/.308/.346 .092.319 622 21% 6% 85 +0.7 .263/.321/.349.086.33053320%6%87+0.5
Stuart Fairchild
2019 · A
23 45→43 40→50 53→55 41 .214/.276/.312 .098.301 714 30% 6% 63 -0.8 .215/.282/.341 .126.287 1110 28% 7% 74 -0.1 .220/.305/.384.164.292181629%8%91+0.6
Hudson Haskin
2022 · A
23 48→46 41→45 52→50 41 .225/.299/.325 .099.312 717 28% 6% 77 +0.1 .225/.308/.346 .121.313 1114 30% 7% 86 +0.8 .215/.308/.330.115.308111731%7%80+0.2
Cade Gotta
2015 · A
23 42→51 39→45 54→55 46 .198/.272/.289 .091.280 515 29% 8% 56 -1.3 .217/.267/.318 .101.286 721 25% 6% 60 -1.0 .241/.300/.342.101.30863622%8%78+0.1
Aaron Mathews
2006 · A
24 48→53 43→45 54→45 45 .233/.284/.350 .117.292 913 23% 6% 76 +0.0 .248/.287/.362 .114.297 98 19% 5% 79 +0.3 .258/.294/.370.112.3059518%5%81+0.3