Brooks Baldwin

LF Chicago White Sox
Age 26 S/R 6'1" / 195 lbs MLB HR +4% Svc 2.273 · Ctrl thru 2030 ILInjured 60-Day (D60)
Overview
MLBIL-6040-MANPre-ArbFA 2031
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202322A+/ACWS396.269/.351/.460152272—.211/.274/.365
202423AAA/AACWS354.324/.393/.460817102—.286/.336/.404
202423MLBCWS121.211/.250/.3162456-0.1
202524AAACWS132.368/.431/.752124143—.308/.362/.550
202524MLBCWS328.240/.292/.40711591-1.1
202625No MLB games played
2027PROJ26MLBCWS212.241/.298/.40379950.1
2028PROJ82% MLB27MLBCWS358.240/.296/.4001216930.1
2029PROJ82% MLB28MLBCWS350.238/.294/.395111491-0.1
Last 3 seasons WAR -1.1  ·  Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2030Service2.273First FA2031
2027Pre-Arb$0.8M2028Arb-1$1M2029Arb-2$1M2030Arb-3$1M
Skills · percentileStatcast 2024-2025
Speed79
Barrel%57
Avg EV57
Bat Spd44
xwOBA39
CompsWilli Castro (age 27) · Daniel Ortmeier (age 25) · Alen Hanson (age 26)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 9595vR 95
AVG/OBP/SLG.241 / .298 / .403
PA212
HR7
SB9
K%25
BB%7
BABIP291
ISO159
MLB%100%
Value2027 · WAR
BAT: -1.4 runs (wOBA-derived runs vs avg)-1BATRUN: +1.5 runs (SB/CS + UBR baserunning)+1RUNFLD: -1.2 runs (Defensive runs vs avg)-1FLDPOS: -2.3 runs (Positional adjustment)-2POSREP: +4.6 runs (Replacement-level credit)+5REPTotal WAR: +0.30+0.3WAR
0.00.51.00.30.10.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$1M ctrl surplus
Tools · Splits · ContractCON 45 / POW 50
Toolsscout grade · Statcast %ile · 2024-2025
CONTACT45
xAVG
230.229
POWER50
Barrel%
579.3
Avg EV
5789.6
Bat Spd
4470.7
EYE40
scouting grade only
SPEED60
Sprint
7928.6
Platoon Splits2024-2025 · 449 PA
vs LHP
vs RHP
Edge
PA
95
354
—
wRC+
56
90
▶▶R
wOBA
251
302
▶▶R
ISO
081
168
▶▶R
BABIP
235
308
▶▶R
K%
16.8%
28.5%
◀◀L
BB%
8.4%
5.4%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2024
Service   2.273 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+0.3$1M+$0.4M
2028Arb-1$1M+0.1$0.4M+$0.0M (cut)
2029Arb-2$1M———
2030Arb-3$1M———
Totals $0.8M $0.3M +$0.4M

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)
202221 AKannapolis Cannon Ballers — 7771 16200 6190 10 225286254539 28308 258 252 6 — — — — — —
202221 ROKACL White Sox — 4943 9200 6100 10 209306256562 47273 2012 267 3 — — — — — —
202322 A+Winston-Salem Dash — 113101 33205 8251 80 327382495877 168384 227 379 83 — — — — — —
202322 AKannapolis Cannon Ballers — 283245 6013310 34611 145 245339445784 200286 2212 345 68 — — — — — —
202423 MLBChicago White Sox — 121114 24602 6310 40 211250316566 105272 265 252 56 -6 +1 +1 +2 +3 -0.1
202423 AAACharlotte Knights — 3529 10302 520 11 3454416551.096 310320 614 458 148 — — — — — —
202423 AABirmingham Barons — 319286 921606 28563 164 322388441829 119381 189 370 97 — — — — — —
202524 MLBChicago White Sox — 328300 7215111 21861 50 240292407699 167298 266 304 91 -4 +1 -10 -5 +7 -1.1
202524 AAACharlotte Knights — 132117 435212 12221 44 3684317521.183 385369 179 496 143 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 449414 9621113 271171 90 232281382662 150290 266 290 83 -9 +2 -9 -3 +10 -1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202221 A MLEKannapolis Cannon Ballers — 7774 12100 3270 10 162195176370 14255 354 177 6 — — — — — —
202221 ROK MLEACL White Sox — 4945 6100 4140 10 133204156360 22203 298 173 3 — — — — — —
202322 A+ MLEWinston-Salem Dash — 113104 26104 5351 80 250291375666 125314 314 291 83 — — — — — —
202322 A MLEKannapolis Cannon Ballers — 283255 50939 24831 145 196268361629 165243 298 269 68 — — — — — —
202423 MLB MLEChicago White Sox — 121114 24602 6310 40 211250316566 105272 265 251 56 -6 +1 +1 +2 +3 -0.1
202423 AAA MLECharlotte Knights — 3530 10302 420 11 3334126331.045 300287 611 387 148 — — — — — —
202423 AA MLEBirmingham Barons — 319296 831405 18703 164 280328378706 98347 226 311 97 — — — — — —
202524 MLB MLEChicago White Sox — 328300 7215111 21861 50 240292407699 167298 266 303 91 -4 +1 -10 -5 +7 -1.1
202524 AAA MLECharlotte Knights — 132120 37427 9271 44 308362550912 242335 207 379 143 — — — — — —
202221 A MLE2 teams — 126119 18200 7410 20 151198168366 17231 336 175 5 — — — — — —
202221 A RAW2 teams — 126114 25400 12290 20 219294254548 35294 2310 258 5 — — — — — —
202322 A MLE2 teams — 396359 7611313 291172 225 212274368642 156272 307 275 72 — — — — — —
202322 A RAW2 teams — 396346 9315315 42862 225 269351460811 191315 2211 355 72 — — — — — —
202423 AA MLE3 teams — 475441 1172309 271033 215 265312379691 113326 226 301 90 — — — — — —
202423 AA RAW3 teams — 475429 12625010 39893 215 294357422779 128349 198 347 90 — — — — — —
202524 MLB MLE2 teams — 460420 10819317 301132 94 257310438748 181311 257 325 106 +3 +0 -10 -5 +10 -0.2
202524 MLB RAW2 teams — 460417 11520323 331082 94 276332504835 228318 237 359 106 +3 +0 -10 -5 +10 -0.2
202221 A MLE2 teams — 126118 18200 7410 20 153198169368 17235 336 175 5 — — — — — —
202322 A MLE2 teams — 396362 7611313 291172 225 210274365639 155263 307 275 72 — — — — — —
202423 AA MLE3 teams — 475442 1172309 271033 215 265312378690 113323 226 301 90 — — — — — —
202524 MLB MLE2 teams — 460425 10819317 301132 94 254310433743 179308 257 325 106 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 AA MLE3 teams — 475442 1172309 271033 215 265312378690 113323 226 301 90 — — — — — —
202524 MLB MLE2 teams — 460425 10819317 301132 94 254310433743 179308 257 325 106 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202726 MLB MLECWS 100% 466429 10218215 311153 214 240297400696 160290 257 308 95 -3 +3 -3 -5 +10 0.3
▸ 2027 — real world (MLB)
202726 MLB CTXCWS 100% 212195 47817 14521 92 241298403701 162291 257 310 95 -1 +1 -1 -2 +5 0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202827 MLB MLECWS 82% 437402 9617214 291083 194 239295397692 158289 257 306 93 -3 +2 -3 -5 +9 0.1
202928 MLB MLECWS 82% 427393 9316214 291062 173 237293392685 155288 257 303 91 -4 +2 -3 -5 +9 -0.1
203029 MLB MLECWS 82% 412379 9016213 281042 143 234290385675 151286 257 299 89 -6 +2 -4 -4 +9 -0.3
203130 MLB MLECWS 82% 397366 8415112 261012 112 231286376662 146284 257 294 85 -7 +1 -4 -4 +9 -0.6
202827 MLB CTXCWS 82% 358329 8014212 24882 163 240296400697 160290 257 308 93 -3 +2 -2 -4 +8 0.1
202928 MLB CTXCWS 82% 350321 7614111 24872 143 238294395689 157289 257 305 91 -4 +2 -3 -4 +8 -0.1
203029 MLB CTXCWS 82% 338310 7313111 23852 112 235291388679 153287 257 301 89 -5 +1 -3 -4 +7 -0.3
203130 MLB CTXCWS 82% 326299 6912110 22832 92 232287380666 148284 257 296 85 -6 +1 -4 -3 +7 -0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 18211673 39474657 1204609 5910 236290389679 154289 257 300 87 -26 +8 -21 -18 +39 -1.8
/ 162G— A+C — 650597 14026220 431643 214 235289385675 151288 257 300 87 -9 +3 -7 -6 +14 -0.6
Career— MLE — 33423074 7291271499 21984517 12428 237292384676 147293 257 297 87 -31 +10 -25 -23 +51 -1.9
/ 162G— MLE — 650598 14225319 431643 245 237292385677 147294 257 297 87 -9 +3 -7 -7 +14 -0.5

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.

2025 AAACharlotte Knights · 132 PAwOBA .485 → .379 (−106)K% 16.7% → 20.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷0.996×1.200——20.09%
BB% (unintentional) /PA9.09%÷0.984×0.690—×1.0336.58%
HBP% /PA0.76%—×0.940—×1.0330.74%
Singles /BIP25.26%÷1.002×0.930×1.015×1.03324.59%
Doubles /BIP5.26%÷0.980×0.830×1.015×1.0334.67%
Triples /BIP2.11%÷0.961×0.970×1.015×1.0332.23%
Home runs /BIP12.63%÷1.320×0.700—×1.0336.92%

Factors used: league row International League. Park (home-season share, regressed): HR 164, 1B 100, 2B 96, 3B 92, K 99, BB 97 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .485 → .379; ISO .385 → .245; BABIP .369 → .335. 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 AABirmingham Barons · 319 PAwOBA .363 → .311 (−51)K% 17.6% → 21.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.55%÷0.980×1.220——21.86%
BB% (unintentional) /PA8.78%÷1.081×0.680—×1.0125.59%
HBP% /PA0.94%—×0.840—×1.0120.80%
Singles /BIP30.43%÷0.979×0.920×0.967×1.01228.00%
Doubles /BIP6.96%÷0.990×0.910×0.967×1.0126.26%
Triples /BIP0.00%÷1.044×0.880×0.967×1.0120.00%
Home runs /BIP2.61%÷0.935×0.800—×1.0122.26%

Factors used: league row SL. Park (home-season share, regressed): HR 87, 1B 96, 2B 98, 3B 109, K 96, BB 116 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .363 → .311; ISO .119 → .104; BABIP .381 → .347. 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 AAACharlotte Knights · 35 PAwOBA .446 → .387 (−59)K% 5.7% → 6.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA5.71%÷0.991×1.200——6.92%
BB% (unintentional) /PA14.29%÷1.025×0.690—×1.04810.08%
HBP% /PA0.00%—×0.940—×1.0480.00%
Singles /BIP18.52%÷1.033×0.930—×1.04817.47%
Doubles /BIP11.11%÷0.994×0.830—×1.0489.72%
Triples /BIP0.00%÷1.049×0.970—×1.0480.00%
Home runs /BIP7.41%÷1.016×0.700—×1.0485.35%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 107, 2B 99, 3B 110, K 98, BB 105 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .446 → .387; ISO .310 → .258; BABIP .320 → .287. 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 AKannapolis Cannon Ballers · 283 PAwOBA .336 → .269 (−67)K% 21.6% → 29.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.55%÷1.004×1.360——29.20%
BB% (unintentional) /PA11.66%÷0.951×0.690—×0.9908.38%
HBP% /PA0.35%—×0.780—×0.9900.27%
Singles /BIP18.48%÷1.002×0.920×0.973×0.99016.35%
Doubles /BIP7.07%÷1.050×0.830×0.973×0.9905.38%
Triples /BIP1.63%÷0.988×0.910×0.973×0.9901.45%
Home runs /BIP5.43%÷0.861×0.800—×0.9905.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 100, 2B 110, 3B 98, K 101, BB 90 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .336 → .269; ISO .200 → .167; BABIP .286 → .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).

2023 A+Winston-Salem Dash · 113 PAwOBA .375 → .291 (−84)K% 22.1% → 30.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.12%÷0.948×1.310——30.56%
BB% (unintentional) /PA7.08%÷0.943×0.600—×0.9984.50%
HBP% /PA0.88%—×0.770—×0.9980.68%
Singles /BIP34.21%÷1.011×0.870×0.970×0.99828.51%
Doubles /BIP2.63%÷1.030×0.780×0.970×0.9981.93%
Triples /BIP0.00%÷1.008×0.850×0.970×0.9980.00%
Home runs /BIP6.58%÷1.017×0.880—×0.9985.68%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 103, 1B 102, 2B 106, 3B 102, K 90, BB 89 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .375 → .291; ISO .168 → .136; BABIP .384 → .314. 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 AKannapolis Cannon Ballers · 77 PAwOBA .240 → .177 (−64)K% 24.7% → 34.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.68%÷0.972×1.360——34.51%
BB% (unintentional) /PA6.49%÷1.021×0.690——4.39%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP26.92%÷1.050×0.920×0.950—22.42%
Doubles /BIP3.85%÷0.976×0.830×0.950—3.11%
Triples /BIP0.00%÷1.150×0.910×0.950—0.00%
Home runs /BIP0.00%÷1.172×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 110, 2B 95, 3B 130, K 94, BB 104 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .240 → .177; ISO .028 → .021; BABIP .308 → .255. 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 ROKACL White Sox · 49 PAwOBA .261 → .173 (−88)K% 20.4% → 29.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.41%÷1.008×1.440——29.15%
BB% (unintentional) /PA12.24%÷0.961×0.620—×0.9757.71%
HBP% /PA0.00%—×0.720—×0.9750.00%
Singles /BIP21.21%÷1.000×0.820—×0.97516.96%
Doubles /BIP6.06%÷1.287×0.720—×0.9753.31%
Triples /BIP0.00%÷1.104×0.720—×0.9750.00%
Home runs /BIP0.00%÷1.173×0.780—×0.9750.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 135, 1B 100, 2B 157, 3B 121, K 102, BB 92 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .261 → .173; ISO .047 → .024; BABIP .273 → .203. 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).