Jesús Báez

SS Springfield Cardinals
Age 22 R/R 5'10" / 180 lbs AA HR -14%BB -5% Svc 0.0 · Ctrl thru 2033
Overview
AAPROSPECTMiLBFA 2034
OGV OFP50OGV rank#27ETA2028MLB%2%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202419A+/ANYM316.262/.338/.44711984—.231/.290/.400
202520A+/A2 orgs442.242/.329/.38714968—.207/.274/.329
202621AA/A+STL500.283/.335/.587398112—.247/.290/.495
2027PROJMLE22MLBSTL4.249/.298/.445001100.0
2028PROJ49% MLB23MLBSTL230.251/.303/.4511131131.0
2029PROJ65% MLB24MLBSTL339.253/.306/.4531651151.6
Next 3 projected WAR 2.7Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2033Service0.0First FA2034
2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$6M2032Arb-2$10M2033Arb-3$14M
Skills · percentileMiLB Statcast 2026 AA
ISO98
wOBA96
wRC+93
K%91
Whiff%77
Z-Con%76
Career WAR2.7 WAR median (P10 -0.2 / P90 24, comp-based) · star 7% · didn't stick 50%
CompsLogan O'Hoppe (age 24) · Andy Pages (age 22) · Wilin Rosario (age 24)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†110
AVG/OBP/SLG.249 / .298 / .445
PA4
HR0
K%25
BB%5
BABIP268
ISO210
MLB%2%
Value2027 · WAR
BAT: +2.5 runs (wOBA-derived runs vs avg)+2BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: -1.0 runs (Defensive runs vs avg)-1FLDPOS: +2.2 runs (Positional adjustment)+2POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: +1.00+1.0WAR
0.01.32.60.01.01.62.02.12.01.927282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$51M ctrl surplus
Contract
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M+1.0$7M+$7M
2029Pre-Arb$0.8M+1.6$11M+$10M
2030Pre-Arb$0.8M+2.0$13M+$12M
2031Arb-1$6M+2.1$12M+$8M
2032Arb-2$10M+2.0$11M+$5M
2033Arb-3$14M+1.9$10M+$2M
Totals $34M $64M +$44M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
202217 ROKDSL Mets 1 — 217186 45907 26463 86 242344403747 161281 2112 335 30 — — — — — —
202318 ROKFCL Mets — 160138 29912 19281 52 210310333643 123245 1812 292 26 — — — — — —
202419 A+Brooklyn Cyclones — 3230 8301 250 11 267312467779 200292 166 342 59 — — — — — —
202419 ASt. Lucie Mets — 284252 6614110 25465 80 262340444785 183283 169 347 87 — — — — — —
202520 A+Peoria Chiefs — 416365 8914014 43774 94 244330397727 153270 1910 325 70 — — — — — —
202520 ASt. Lucie Mets — 2623 5000 330 01 217308217525 250 1212 255 37 — — — — — —
202621 AASpringfield Cardinals — 257234 7410025 10417 32 3163636791.042 363282 164 437 143 — — — — — —
202621 A+Peoria Chiefs — 243219 5411014 18391 53 247307489795 242234 167 341 79 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202217 ROK MLEDSL Mets 1 — 217193 28504 19563 86 145233233466 88179 269 212 30 — — — — — —
202318 ROK MLEFCL Mets — 160145 22711 12431 52 152222234456 83193 278 206 26 — — — — — —
202419 A+ MLEBrooklyn Cyclones — 3231 6201 170 11 194219355574 161246 223 255 59 — — — — — —
202419 A MLESt. Lucie Mets — 284259 6112110 18635 80 236298405703 170263 226 297 87 — — — — — —
202520 A+ MLEPeoria Chiefs — 416377 7810013 311034 94 207274337611 130243 257 271 70 — — — — — —
202520 A MLESt. Lucie Mets — 2624 5000 240 01 208269208478 243 158 223 37 — — — — — —
202621 AA MLESpringfield Cardinals — 257237 679021 7507 32 283323586909 304257 193 379 143 — — — — — —
202621 A+ MLEPeoria Chiefs — 243224 479011 13501 53 210256397654 187210 215 285 79 — — — — — —
202217 ROK MLEDSL Mets 1 — 217193 28504 19563 86 145233233466 88178 269 212 30 — — — — — —
202217 ROK RAWDSL Mets 1 — 217186 45907 26463 86 242344403747 161281 2112 335 30 — — — — — —
202318 ROK MLEFCL Mets — 160145 22711 12431 52 152222234456 83204 278 206 26 — — — — — —
202318 ROK RAWFCL Mets — 160138 29912 19281 52 210310333643 123245 1812 292 26 — — — — — —
202419 A MLE2 teams — 316290 6614110 19705 91 228287386673 159264 226 293 84 — — — — — —
202419 A RAW2 teams — 316282 7417111 27515 91 262338447784 184284 169 347 84 — — — — — —
202520 A+ MLE2 teams — 442401 8310013 331074 95 207274329603 122246 247 268 68 — — — — — —
202520 A+ RAW2 teams — 442388 9414014 46804 95 242329387715 144268 1810 321 68 — — — — — —
202621 AA MLE2 teams — 500460 11418032 211008 85 248292496788 248242 204 333 112 — — — — — —
202621 AA RAW2 teams — 500453 12821039 28808 85 283335587923 305258 166 390 112 — — — — — —
202217 ROK MLEDSL Mets 1 — 217193 28504 19563 86 145233233466 88179 269 212 30 — — — — — —
202318 ROK MLEFCL Mets — 160146 22711 12431 52 151222233454 82193 278 206 26 — — — — — —
202419 A MLE2 teams — 316289 6614110 19705 91 228287388674 159261 226 293 84 — — — — — —
202520 A+ MLE2 teams — 442402 8310013 331074 95 206274328602 122243 247 268 68 — — — — — —
202621 AA MLE2 teams — 500467 11418032 211008 85 244292488781 244234 204 333 112 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202419 A MLE2 teams — 316289 6614110 19705 91 228287388674 159261 226 293 84 — — — — — —
202520 A+ MLE2 teams — 442402 8310013 331074 95 206274328602 122243 247 268 68 — — — — — —
202621 AA MLE2 teams — 500467 11418032 211008 85 244292488781 244234 204 333 112 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202722 MLB MLESTL 2% 610565 14223131 331237 84 251300457757 206267 205 331 110 +7 +0 -3 +7 +13 1.0
▸ 2027 — real world (MLB)
202722 MLB CTXSTL 2% 44 1000 010 00 249298445744 196268 250 326 110 +0 +0 -0 +0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202823 MLB MLESTL 49% 468434 11018124 26935 63 253305463767 209268 206 335 113 +7 +0 -2 +5 +10 2.1
202924 MLB MLESTL 65% 520478 12220126 311036 73 255308465773 210270 206 338 115 +9 +0 -2 +6 +11 2.5
203025 MLB MLESTL 73% 558513 13021128 341106 84 255310465774 210271 206 338 115 +10 +0 -1 +6 +12 2.7
203126 MLB MLESTL 76% 576528 13422128 361157 74 255310462772 207272 206 337 115 +10 -0 -1 +6 +12 2.8
203227 MLB MLESTL 76% 580531 13422128 371177 74 253310457767 204273 206 335 113 +9 -0 -1 +6 +13 2.7
203328 MLB MLESTL 76% 575527 13222127 371176 53 252308452760 201272 206 333 111 +8 -0 -2 +6 +12 2.5
203429 MLB MLESTL 74% 561514 12821126 361166 33 249305446752 197271 216 329 109 +6 -1 -3 +6 +12 2.1
203530 MLB MLESTL 73% 548503 12521125 341156 12 247302439741 193269 216 325 106 +4 -1 -3 +6 +12 1.8
203631 MLB MLESTL 73% 532489 12020124 331145 12 243297430727 187267 216 319 102 +1 -1 -4 +6 +12 1.4
203732 MLB MLESTL 72% 510469 11118022 311115 11 237291417708 180263 226 312 97 -2 -0 -5 +5 +11 1.0
203833 MLB MLESTL 72% 474439 10116019 281064 11 231283402685 171259 226 302 91 -5 -0 -5 +5 +10 0.5
203934 MLB MLESTL 68% 417387 8613016 24963 01 223274383657 160253 236 291 83 -9 -0 -6 +4 +9 -0.1
202823 MLB CTXSTL 49% 230212 539011 13463 31 251303451754 199269 206 330 113 +4 +0 -1 +2 +5 1.0
202924 MLB CTXSTL 65% 339312 8014116 20674 52 253306453760 201271 206 332 115 +6 +0 -1 +4 +7 1.6
203025 MLB CTXSTL 73% 406373 9516119 25805 53 253308453761 200273 206 333 115 +7 -0 -1 +4 +9 2.0
203126 MLB CTXSTL 76% 439404 10218120 27875 63 253308451759 198273 206 333 115 +8 +0 -1 +5 +10 2.1
203227 MLB CTXSTL 76% 441405 10218120 28895 53 251308446754 194274 206 331 113 +7 -0 -1 +5 +10 2.0
203328 MLB CTXSTL 76% 437401 10118119 28895 42 250306442748 192273 206 328 111 +6 +0 -2 +5 +9 1.9
203429 MLB CTXSTL 74% 417384 9617118 26864 22 248304436740 188272 216 325 109 +5 -0 -2 +4 +9 1.6
203530 MLB CTXSTL 73% 402370 9116117 25844 12 245300429729 184271 216 321 106 +3 -1 -3 +4 +9 1.3
203631 MLB CTXSTL 73% 387356 8615016 24834 11 241296420715 179268 216 315 102 +1 -0 -3 +4 +8 1.1
203732 MLB CTXSTL 72% 369341 8114015 22813 11 236290408697 172264 226 307 97 -1 -0 -3 +4 +8 0.7
203833 MLB CTXSTL 72% 342316 7212013 20773 01 230282393675 163260 236 298 91 -4 -0 -4 +4 +7 0.3
203934 MLB CTXSTL 68% 282262 579010 16652 00 222273375647 153254 236 287 83 -6 +0 -4 +3 +6 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 44914136 10161767194 27493447 3321 246300432732 187271 216 321 100 +35 -2 -26 +48 +97 15.6
/ 162G— A+C — 650599 14625128 401357 53 244299429728 185269 216 321 100 +5 -0 -4 +7 +14 2.3
Career— MLE — 81647496 179529611364 502173189 8951 239295428723 188262 216 316 100 +51 -3 -37 +70 +141 22.7
/ 162G— MLE — 650597 14324129 401387 74 240295429724 189263 216 316 100 +5 -0 -4 +7 +14 2.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AASpringfield Cardinals · 257 PAwOBA .434 → .379 (−54)K% 16.0% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.95%÷1.000×1.220——19.46%
BB% (unintentional) /PA3.89%÷1.000×0.700—×1.0502.86%
HBP% /PA2.72%—×0.870—×1.0502.49%
Singles /BIP20.21%÷1.000×0.920×0.982×1.05019.18%
Doubles /BIP5.18%÷1.000×0.840×0.982×1.0504.49%
Triples /BIP0.00%÷1.000×0.940×0.982×1.0500.00%
Home runs /BIP12.95%÷1.000×0.800—×1.05010.88%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .434 → .379; ISO .363 → .307; BABIP .282 → .257. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+Peoria Chiefs · 243 PAwOBA .338 → .285 (−52)K% 16.0% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.05%÷1.000×1.270——20.38%
BB% (unintentional) /PA7.41%÷1.000×0.710—×1.0275.40%
HBP% /PA0.41%—×0.790—×1.0270.33%
Singles /BIP16.11%÷1.000×0.920×0.997×1.02715.18%
Doubles /BIP6.11%÷1.000×0.810×0.997×1.0275.07%
Triples /BIP0.00%÷1.000×0.850×0.997×1.0270.00%
Home runs /BIP7.78%÷1.000×0.800—×1.0276.39%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .338 → .285; ISO .242 → .199; BABIP .234 → .210. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Peoria Chiefs · 416 PAwOBA .320 → .271 (−49)K% 18.5% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.51%÷0.951×1.270——24.73%
BB% (unintentional) /PA10.34%÷1.027×0.710—×1.0427.45%
HBP% /PA0.96%—×0.790—×1.0420.79%
Singles /BIP21.18%÷1.010×0.920×0.985×1.04219.79%
Doubles /BIP4.86%÷1.083×0.810×0.985×1.0423.73%
Triples /BIP0.00%÷0.926×0.850×0.985×1.0420.00%
Home runs /BIP4.86%÷0.857×0.800—×1.0424.73%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 71, 1B 102, 2B 117, 3B 85, K 90, BB 105 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .320 → .271; ISO .153 → .137; BABIP .270 → .243. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ASt. Lucie Mets · 26 PAwOBA .249 → .223 (−26)K% 11.5% → 14.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.54%÷1.060×1.360——14.80%
BB% (unintentional) /PA11.54%÷0.953×0.690—×1.0308.60%
HBP% /PA0.00%—×0.780—×1.0300.00%
Singles /BIP25.00%÷0.977×0.920—×1.03024.25%
Doubles /BIP0.00%÷0.903×0.830—×1.0300.00%
Triples /BIP0.00%÷1.150×0.910—×1.0300.00%
Home runs /BIP0.00%÷0.855×0.800—×1.0300.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 95, 2B 81, 3B 130, K 112, BB 91 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .249 → .223; ISO .000 → .000; BABIP .250 → .243. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ASt. Lucie Mets · 284 PAwOBA .340 → .297 (−44)K% 16.2% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.20%÷0.990×1.360——22.25%
BB% (unintentional) /PA8.80%÷1.030×0.690—×1.0456.16%
HBP% /PA1.76%—×0.780—×1.0451.44%
Singles /BIP19.90%÷0.957×0.920×0.950×1.04518.99%
Doubles /BIP6.80%÷0.954×0.830×0.950×1.0455.87%
Triples /BIP0.49%÷1.150×0.910×0.950×1.0450.38%
Home runs /BIP4.85%÷0.826×0.800—×1.0454.91%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 65, 1B 91, 2B 91, 3B 130, K 98, BB 106 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .340 → .297; ISO .183 → .169; BABIP .283 → .263. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 A+Brooklyn Cyclones · 32 PAwOBA .332 → .255 (−78)K% 15.6% → 20.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.62%÷0.988×1.310——20.73%
BB% (unintentional) /PA6.25%÷0.973×0.600—×1.0504.05%
HBP% /PA0.00%—×0.770—×1.0500.00%
Singles /BIP16.00%÷1.032×0.870—×1.05014.16%
Doubles /BIP12.00%÷1.005×0.780—×1.0509.78%
Triples /BIP0.00%÷0.929×0.850—×1.0500.00%
Home runs /BIP4.00%÷1.341×0.880—×1.0502.76%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 168, 1B 106, 2B 101, 3B 86, K 98, BB 95 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average).

Result: wOBA .332 → .255; ISO .200 → .145; BABIP .292 → .246. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 ROKFCL Mets · 160 PAwOBA .288 → .206 (−83)K% 17.5% → 26.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.50%÷0.949×1.440——26.57%
BB% (unintentional) /PA11.88%÷1.004×0.620—×1.0227.50%
HBP% /PA0.62%—×0.720—×1.0220.46%
Singles /BIP15.45%÷1.046×0.820×0.998×1.02212.36%
Doubles /BIP8.18%÷0.953×0.720×0.998×1.0226.31%
Triples /BIP0.91%÷0.979×0.720×0.998×1.0220.68%
Home runs /BIP1.82%÷1.040×0.780—×1.0221.39%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 109, 2B 91, 3B 96, K 90, BB 101 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .288 → .206; ISO .123 → .090; BABIP .245 → .193. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL Mets 1 · 217 PAwOBA .330 → .212 (−117)K% 21.2% → 25.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.20%÷1.010×1.220——25.61%
BB% (unintentional) /PA11.98%÷0.968×0.700—×1.0228.86%
HBP% /PA1.38%—×0.700—×1.0220.99%
Singles /BIP20.71%÷1.016×0.680×0.974×1.02213.82%
Doubles /BIP6.43%÷1.000×0.600×0.974×1.0223.84%
Triples /BIP0.00%÷0.900×0.600×0.974×1.0220.00%
Home runs /BIP5.00%÷0.950×0.470—×1.0222.53%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 100, 3B 80, K 102, BB 94 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .330 → .212; ISO .161 → .086; BABIP .281 → .179. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).