Trenton Brooks

LF Sugar Land Space Cowboys
Age 32 L/L 5'11" / 195 lbs AAA HR -6% Svc 3.000 · Ctrl thru 2029
Overview
AAAROOKIEArb-1FA 2030
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202429AAASF407.302/.418/.4531010101—.264/.348/.372
202429MLBSF29.120/.241/.1200116-1.0
202530AAASD399.275/.396/.49115386—.218/.301/.371
202530MLBSD43.146/.186/.2681026-0.8
202631AAAHOU246.253/.386/.3744471—.212/.307/.302
2027PROJ10% MLB32MLBHOU16.238/.321/.37300950.0
2028PROJ27% MLB33MLBHOU45.230/.312/.3561088-0.1
Last 3 seasons WAR -1.8  ·  Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2029Service3.000First FA2030
2027Arb-1$0.2M2028Arb-2$0.4M2029Ext$0.6M
Skills · percentileMiLB Statcast 2026 AAA
BB%92
Chase%90
Whiff%87
K%82
Z-Con%71
Speed34
Career WAR0.0 WAR median (P10 -0.2 / P90 0.0, comp-based) · star 0% · didn't stick 100%
CompsBen Gamel (age 32) · Jose Ruiz (age 32) · Nick Martini (age 33)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†95
AVG/OBP/SLG.238 / .321 / .373
PA16
HR0
K%19
BB%12
BABIP281
ISO71
MLB%10%
Value2027 · WAR
BAT: -0.9 runs (wOBA-derived runs vs avg)-1BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: -0.1 runs (Defensive runs vs avg)-0FLDPOS: -1.7 runs (Positional adjustment)-2POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
0.00.51.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus
Tools · ContractCON 60 / POW 60
Toolsscout grade · Statcast %ile · 2024-2025
CONTACT60
xAVG
100.198
POWER60
Barrel%
366.4
Avg EV
4288.5
Bat Spd
1066.9
EYE60
scouting grade only
SPEED45
Sprint
3226.6
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2024
Service   3.000 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$0.2M+0.0$0.0M+$0.0M (cut)
2028Arb-2$0.4M———
2029Extbeyond projection horizon · no WAR estimate
Totals $0.0M $-0.3M +$0.0M

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)
201621 ROKAZL Indians — 141126 28900 8181 32 222274294568 71252 136 249 8 — — — — — —
201722 ALake County Captains — 126112 24501 12262 01 214302286587 71271 2110 275 36 — — — — — —
201823 A+Lynchburg Hillcats — 446388 1092835 45667 21 281366407773 126323 1510 345 69 — — — — — —
201924 AAAkron RubberDucks — 264241 662239 20382 10 274335502837 228292 148 364 98 — — — — — —
201924 A+Lynchburg Hillcats — 203174 371103 22262 02 213308328636 115231 1311 286 43 — — — — — —
202126 AAAColumbus Clippers — 325289 732308 31671 20 253327415742 163301 2110 328 68 — — — — — —
202126 AAAkron RubberDucks — 9671 19314 20183 10 268447507954 239294 1921 416 120 — — — — — —
202227 AAAColumbus Clippers — 340293 8021111 41553 10 273368464832 191303 1612 367 91 — — — — — —
202227 INTLTigres del Licey — 5953 11401 5170 10 208276340615 132278 298 273 71 — — — — — —
202328 AAASacramento River Cats — 523430 12331122 78777 70 286404516920 230301 1515 400 105 — — — — — —
202429 MLBSan Francisco Giants — 2925 3000 460 10 120241120361 158 2114 190 16 -3 +0 +0 -8 +1 -1.0
202429 AAASacramento River Cats — 407331 10018110 63613 101 302418453871 151336 1515 383 101 — — — — — —
202530 MLBSan Diego Padres — 4341 6201 2130 00 146186268454 122185 305 204 26 -4 +0 -0 -5 +1 -0.8
202530 AAAEl Paso Chihuahuas — 399324 8923115 64631 30 275396491887 216291 1616 383 86 — — — — — —
202631 AAASugar Land Space Cowboys — 246198 501204 42401 44 253386374760 121293 1617 344 71 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 7266 9201 6190 10 136208212420 76174 268 198 20 -7 +0 +0 -13 +2 -1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201621 ROK MLEAZL Indians — 141129 21600 5261 32 163200209409 47189 184 180 8 — — — — — —
201722 A MLELake County Captains — 126115 22401 9362 01 191262252514 61258 297 221 36 — — — — — —
201823 A+ MLELynchburg Hillcats — 446405 932225 28907 21 230291331622 101271 206 270 69 — — — — — —
201924 AA MLEAkron RubberDucks — 264247 602038 14462 10 243289445734 202267 175 313 98 — — — — — —
201924 A+ MLELynchburg Hillcats — 203181 32803 15352 02 177247271518 94195 177 232 43 — — — — — —
202126 AAA MLEColumbus Clippers — 325299 672006 21801 20 224277351628 127276 256 269 68 — — — — — —
202126 AA MLEAkron RubberDucks — 9678 17214 13223 10 218351423774 205245 2314 345 120 — — — — — —
202227 AAA MLEColumbus Clippers — 340304 731718 30643 10 240315382696 141274 199 303 91 — — — — — —
202328 AAA MLESacramento River Cats — 523454 11127115 54857 70 244334407741 163261 1610 324 105 — — — — — —
202429 MLB MLESan Francisco Giants — 2925 3000 460 10 120241120361 158 2114 191 16 -3 +0 +0 -8 +1 -1.0
202429 AAA MLESacramento River Cats — 407352 931517 42683 101 264348372720 108288 1710 317 101 — — — — — —
202530 MLB MLESan Diego Padres — 4341 6201 2130 00 146186268454 122185 305 207 26 -4 +0 -0 -5 +1 -0.8
202530 AAA MLEEl Paso Chihuahuas — 399348 7618111 40781 30 218301371671 152235 2010 296 86 — — — — — —
202631 AAA MLESugar Land Space Cowboys — 246212 451003 28481 44 212307302609 90248 2011 273 71 — — — — — —
201621 ROK MLEAZL Indians — 141129 21600 5261 32 163200209409 47198 184 180 8 — — — — — —
201621 ROK RAWAZL Indians — 141126 28900 8181 32 222274294568 71252 136 249 8 — — — — — —
201722 A MLELake County Captains — 126115 22401 9362 01 191262252514 61269 297 221 36 — — — — — —
201722 A RAWLake County Captains — 126112 24501 12262 01 214302286587 71271 2110 275 36 — — — — — —
201823 A+ MLELynchburg Hillcats — 446405 932225 28907 21 230291331622 101279 206 270 69 — — — — — —
201823 A+ RAWLynchburg Hillcats — 446388 1092835 45667 21 281366407773 126323 1510 345 69 — — — — — —
201924 AA MLE2 teams — 467428 9328311 29824 12 217273374647 157243 186 278 74 — — — — — —
201924 AA RAW2 teams — 467415 10333312 42644 12 248323429752 181266 149 330 74 — — — — — —
202126 AAA MLE2 teams — 421377 832219 341034 30 220292355647 135275 248 286 80 — — — — — —
202126 AAA RAW2 teams — 421360 9226112 51854 30 256354433788 178300 2012 348 80 — — — — — —
202227 AAA MLE2 teams — 399357 852019 35753 20 238311375687 137276 199 303 91 — — — — — —
202227 AAA RAW2 teams — 399346 9125112 46723 20 263354445800 182299 1812 353 91 — — — — — —
202328 AAA MLESacramento River Cats — 523454 11127115 54857 70 244334407741 163267 1610 324 105 — — — — — —
202328 AAA RAWSacramento River Cats — 523430 12331122 78777 70 286404516920 230301 1515 400 105 — — — — — —
202429 AAA MLE2 teams — 436377 961517 46743 111 255340355696 101293 1711 309 95 — — — — — —
202429 AAA RAW2 teams — 436356 10318110 67673 111 289406430836 140324 1515 370 95 — — — — — —
202530 AAA MLE2 teams — 442389 8220112 42911 30 211289360649 149238 2110 287 81 — — — — — —
202530 AAA RAW2 teams — 442365 9525116 66761 30 260375466841 205281 1715 366 81 — — — — — —
202631 AAA MLESugar Land Space Cowboys — 246212 451003 28481 44 212307302609 90256 2011 273 71 — — — — — —
202631 AAA RAWSugar Land Space Cowboys — 246198 501204 42401 44 253386374760 121293 1617 344 71 — — — — — —
201621 ROK MLEAZL Indians — 141134 21600 5261 32 157200201401 45189 184 180 8 — — — — — —
201722 A MLELake County Captains — 126114 22401 9362 01 193262254516 61258 297 221 36 — — — — — —
201823 A+ MLELynchburg Hillcats — 446408 932225 28907 21 228291328619 100271 206 270 69 — — — — — —
201924 AA MLE2 teams — 467431 9328311 29824 12 216273371645 155236 186 278 74 — — — — — —
202126 AAA MLE2 teams — 421380 832219 341034 30 218292353644 134269 248 286 80 — — — — — —
202227 AAA MLE2 teams — 399358 852019 35753 20 237311374686 137274 199 303 91 — — — — — —
202328 AAA MLESacramento River Cats — 523457 11127115 54857 70 243334405739 162261 1610 324 105 — — — — — —
202429 AAA MLE2 teams — 436384 961517 46743 111 250340349689 99279 1711 309 95 — — — — — —
202530 AAA MLE2 teams — 442396 8220112 42911 30 207289354643 146230 2110 287 81 — — — — — —
202631 AAA MLESugar Land Space Cowboys — 246215 451003 28481 44 209307298605 88248 2011 273 71 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202429 AAA MLE2 teams — 436384 961517 46743 111 250340349689 99279 1711 309 95 — — — — — —
202530 AAA MLE2 teams — 442396 8220112 42911 30 207289354643 146230 2110 287 81 — — — — — —
202631 AAA MLESugar Land Space Cowboys — 246215 451003 28481 44 209307298605 88248 2011 273 71 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202732 MLB MLEHOU 10% 296263 621317 30601 41 235318369687 134277 2010 309 95 -2 +0 -0 -3 +6 0.1
▸ 2027 — real world (MLB)
202732 MLB CTXHOU 10% 1614 3100 230 00 238321373693 135281 1912 312 95 -0 +0 -0 -0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202833 MLB MLEHOU 27% 165146 34704 17341 11 228309352661 125271 2110 299 88 -2 -0 -4 -2 +4 -0.5
202833 MLB CTXHOU 27% 4540 9201 590 00 230312356668 125275 2011 301 88 -1 +0 -1 -0 +1 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 117106 18402 11280 10 170248264512 94211 249 238 81 -7 +0 -1 -13 +3 -1.9
/ 162G— A+C — 650589 10022011 611560 60 170248263511 93211 249 238 81 -41 +1 -5 -72 +14 -10.6
Career— MLE — 39673526 7971881080 34377535 3913 226301353654 127264 209 287 81 -10 +0 -4 -16 +8 -2.2
/ 162G— MLE — 650578 13131213 561276 62 227302355656 128265 209 287 81 -17 +0 -7 -26 +14 -3.7

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 AAASugar Land Space Cowboys · 246 PAwOBA .340 → .273 (−67)K% 16.3% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.26%÷1.000×1.200——19.51%
BB% (unintentional) /PA17.07%÷1.000×0.690—×0.96211.33%
HBP% /PA0.41%—×0.940—×0.9620.37%
Singles /BIP21.52%÷1.000×0.930×0.982×0.96218.90%
Doubles /BIP7.59%÷1.000×0.830×0.982×0.9625.95%
Triples /BIP0.00%÷1.000×0.970×0.982×0.9620.00%
Home runs /BIP2.53%÷1.000×0.700—×0.9621.70%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .340 → .273; ISO .121 → .095; BABIP .293 → .248. 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 AAAEl Paso Chihuahuas · 399 PAwOBA .380 → .296 (−84)K% 15.8% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.79%÷0.973×1.200——19.48%
BB% (unintentional) /PA15.54%÷1.054×0.690—×0.9729.89%
HBP% /PA0.25%—×0.940—×0.9720.23%
Singles /BIP19.16%÷0.999×0.930×0.950×0.97216.46%
Doubles /BIP8.81%÷1.042×0.830×0.950×0.9726.48%
Triples /BIP0.38%÷1.150×0.970×0.950×0.9720.30%
Home runs /BIP5.75%÷0.981×0.700—×0.9723.99%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 100, 2B 108, 3B 130, K 95, BB 111 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .380 → .296; ISO .216 → .165; BABIP .291 → .235. 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 AAASacramento River Cats · 407 PAwOBA .381 → .317 (−64)K% 15.0% → 16.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.99%÷1.081×1.200——16.64%
BB% (unintentional) /PA15.48%÷1.032×0.690—×0.98210.17%
HBP% /PA0.74%—×0.940—×0.9820.68%
Singles /BIP26.30%÷0.976×0.930×0.960×0.98223.62%
Doubles /BIP6.67%÷1.052×0.830×0.960×0.9824.96%
Triples /BIP0.37%÷1.091×0.970×0.960×0.9820.31%
Home runs /BIP3.70%÷1.010×0.700—×0.9822.52%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 95, 2B 110, 3B 118, K 116, BB 106 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .381 → .317; ISO .151 → .117; BABIP .336 → .288. 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 AAASacramento River Cats · 523 PAwOBA .394 → .324 (−69)K% 14.7% → 16.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.72%÷1.087×1.200——16.25%
BB% (unintentional) /PA14.91%÷0.981×0.690—×0.99210.41%
HBP% /PA1.34%—×0.940—×0.9921.25%
Singles /BIP19.55%÷0.992×0.930×0.986×0.99217.92%
Doubles /BIP8.78%÷0.992×0.830×0.986×0.9927.19%
Triples /BIP0.28%÷0.956×0.970×0.986×0.9920.28%
Home runs /BIP6.23%÷1.057×0.700—×0.9924.10%

Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 98, 2B 98, 3B 91, K 117, BB 96 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .394 → .324; ISO .230 → .176; BABIP .301 → .261. 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 AAAColumbus Clippers · 340 PAwOBA .358 → .303 (−55)K% 16.2% → 18.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.18%÷1.036×1.200——18.75%
BB% (unintentional) /PA11.76%÷0.930×0.690—×1.0038.75%
HBP% /PA0.88%—×0.940—×1.0030.83%
Singles /BIP19.75%÷0.941×0.930×0.981×1.00319.21%
Doubles /BIP8.82%÷1.040×0.830×0.981×1.0036.93%
Triples /BIP0.42%÷0.900×0.970×0.981×1.0030.45%
Home runs /BIP4.62%÷1.001×0.700—×1.0033.24%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 88, 2B 108, 3B 80, K 107, BB 86 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .358 → .303; ISO .191 → .146; BABIP .303 → .274. 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).

2021 AAAColumbus Clippers · 325 PAwOBA .320 → .269 (−51)K% 20.6% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.62%÷1.002×1.200——24.69%
BB% (unintentional) /PA9.23%÷1.008×0.690—×1.0186.43%
HBP% /PA0.31%—×0.940—×1.0180.29%
Singles /BIP18.92%÷0.949×0.930×0.966×1.01818.23%
Doubles /BIP10.36%÷0.949×0.830×0.966×1.0188.91%
Triples /BIP0.00%÷0.900×0.920×0.966×1.0180.00%
Home runs /BIP3.60%÷1.034×0.700—×1.0182.48%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 90, 2B 90, 3B 80, K 100, BB 102 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .320 → .269; ISO .163 → .126; BABIP .301 → .276. 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).

2021 AAAkron RubberDucks · 96 PAwOBA .412 → .345 (−66)K% 18.8% → 23.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.75%÷0.977×1.220——23.40%
BB% (unintentional) /PA19.79%÷0.967×0.690—×0.98813.95%
HBP% /PA3.12%—×0.850—×0.9882.62%
Singles /BIP20.75%÷1.042×0.940×0.977×0.98818.08%
Doubles /BIP5.66%÷1.129×0.870×0.977×0.9884.21%
Triples /BIP1.89%÷1.116×0.920×0.977×0.9881.50%
Home runs /BIP7.55%÷0.893×0.780—×0.9886.51%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 108, 2B 126, 3B 123, K 95, BB 93 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.

Result: wOBA .412 → .345; ISO .239 → .217; BABIP .294 → .245. 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).

2019 AAAkron RubberDucks · 264 PAwOBA .356 → .313 (−43)K% 14.4% → 17.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.39%÷1.003×1.220——17.51%
BB% (unintentional) /PA7.58%÷1.019×0.700—×1.0125.27%
HBP% /PA0.76%—×0.850—×1.0120.65%
Singles /BIP15.76%÷1.008×0.970×0.950×1.01214.59%
Doubles /BIP10.84%÷0.925×0.860×0.950×1.0129.69%
Triples /BIP1.48%÷0.900×0.950×0.950×1.0121.50%
Home runs /BIP4.43%÷0.863×0.780—×1.0124.05%

Factors used: league row EL. Park (home-season share, regressed): HR 73, 1B 102, 2B 85, 3B 80, K 101, BB 104 — 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 ×0.950.

Result: wOBA .356 → .313; ISO .228 → .208; BABIP .292 → .267. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .