Brady House

3B Washington Nationals
Age 24 R/R 6'4" / 208 lbs MLB Svc 1.302 · Ctrl thru 2031
Overview
MLB40-MANPre-ArbFA 2032
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202421AAA/AAWSH542.241/.299/.40219662—.209/.256/.332
202522AAAWSH283.304/.356/.519130107—.278/.317/.447
202522MLBWSH274.234/.257/.3224558-0.4
202623AAAWSH222.301/.345/.5008395—.268/.305/.426
202623MLBWSH355.247/.315/.3971031000.9
2027PROJ24MLBWSH390.260/.317/.4111151051.2
2028PROJ92% MLB25MLBWSH516.260/.318/.4131561051.6
2029PROJ92% MLB26MLBWSH516.260/.318/.4131561051.6
Last 3 seasons WAR 0.5  ·  Next 3 projected WAR 4.4Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2031Service1.302First FA2032
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$4M2030Arb-2$8M2031Arb-3$10M
Skills · percentileStatcast 2025-2026
Bat Spd69
Speed68
Avg EV62
xwOBA53
Barrel%43
Form.271/.340/.405 ▲ rolling true talent (60d window) · proj .259/.315/.411
CompsConnor Norby (age 24) · Luke Hughes (age 24) · Ke'Bryan Hayes (age 24)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 107105vR 97
AVG/OBP/SLG.260 / .317 / .411
PA390
HR11
SB5
K%26
BB%7
BABIP329
ISO148
MLB%100%
Value2027 · WAR
BAT: +2.1 runs (wOBA-derived runs vs avg)+2BATRUN: +1.0 runs (SB/CS + UBR baserunning)+1RUNFLD: -1.0 runs (Defensive runs vs avg)-1FLDPOS: +1.4 runs (Positional adjustment)+1POSREP: +8.5 runs (Replacement-level credit)+8REPTotal WAR: +1.40+1.4WAR
0.01.12.11.41.61.61.51.327282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$35M ctrl surplus
Tools · Recent Form · Splits · ContractCON 50 / POW 40
Toolsscout grade · Statcast %ile · 2025-2026
CONTACT50
xAVG
620.261
POWER40
Barrel%
437.2
Avg EV
6290.0
Bat Spd
6973.3
EYE35
scouting grade only
SPEED55
Sprint
6828.2
Recent Formrolling true talent ⓘ
K%21%▲▲17% over 77 PA (60d) · proj 26%
BB%9%▲▲12% over 77 PA (60d) · proj 7%
ISO.134▼.090 over 67 AB (60d) · proj .152
HR/BB2.8%▼0.0% over 55 BBE (60d) · proj 4.2%
BABIP.331·.364 over 55 BIP (60d) · proj .329
SLASH.271/.340/.405▲proj .259/.315/.411
Platoon Splits2025-2026 · 380 PA
vs LHP
vs RHP
Edge
PA
115
265
—
wRC+
69
64
◀L
wOBA
270
264
—
ISO
065
116
▶▶R
BABIP
375
290
◀◀L
K%
30.4%
28.7%
▶R
BB%
4.3%
4.1%
◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   1.302 yrs.days
Team Control Through   2031
First FA Year   2032
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+1.4$11M+$10M
2028Pre-Arb$0.8M+1.6$12M+$11M
2029Arb-1$4M+1.6$11M+$7M
2030Arb-2$8M+1.5$10M+$4M
2031Arb-3$10M+1.3$8M+$1M
Totals $24M $51M +$34M

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)
202118 ROKFCL Nationals — 6659 19304 7130 00 322394576970 254357 2011 423 86 — — — — — —
202219 AFredericksburg Nationals — 203176 49803 125911 10 278360375735 97393 296 332 72 — — — — — —
202320 AAHarrisburg Senators — 148139 45823 7421 11 324361475835 151442 285 367 100 — — — — — —
202320 A+Wilmington Blue Rocks — 6863 20503 3132 30 317368540907 222362 194 398 114 — — — — — —
202320 AFredericksburg Nationals — 158138 41816 16341 51 297372500872 203350 2210 378 95 — — — — — —
202421 AAARochester Red Wings — 236224 561006 7683 11 250282375657 125329 293 291 48 — — — — — —
202421 AAHarrisburg Senators — 306274 6411113 24757 52 234311423735 190273 258 327 72 — — — — — —
202522 MLBWashington Nationals — 274261 611104 8780 53 234257322578 88310 283 254 58 -14 -0 +2 +2 +6 -0.4
202522 AAARochester Red Wings — 283260 7915113 20751 01 304356519875 215379 277 381 107 — — — — — —
202623 MLBWashington Nationals — 355320 7918010 29913 30 247315397712 150311 268 317 100 -0 +1 -2 +2 +8 0.9
202623 AAARochester Red Wings — 222206 621138 12532 30 301345500845 199367 245 368 95 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 629581 14029014 371693 83 241290363653 122310 276 290 82 -13 +0 +1 +4 +14 0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202118 ROK MLEFCL Nationals — 6662 14203 4190 00 226273403676 177281 296 295 86 — — — — — —
202219 A MLEFredericksburg Nationals — 203180 43702 98311 10 239315311626 72396 414 275 72 — — — — — —
202320 AA MLEHarrisburg Senators — 148141 41722 5511 11 291320411731 121433 343 316 100 — — — — — —
202320 A+ MLEWilmington Blue Rocks — 6864 18403 2172 30 281324484808 203337 253 336 114 — — — — — —
202320 A MLEFredericksburg Nationals — 158145 36615 10471 51 248301407708 159322 306 309 95 — — — — — —
202421 AAA MLERochester Red Wings — 236226 48804 5853 11 212239301540 88313 362 239 48 — — — — — —
202421 AA MLEHarrisburg Senators — 306281 5810110 17917 52 206269356625 149264 306 274 72 — — — — — —
202522 MLB MLEWashington Nationals — 274261 611104 8780 53 234257322578 88310 283 253 58 -14 -0 +2 +2 +6 -0.4
202522 AAA MLERochester Red Wings — 283266 7413110 14871 01 278317447764 169370 315 327 107 — — — — — —
202623 MLB MLEWashington Nationals — 355320 7918010 29913 30 247315397712 150311 268 316 100 -0 +1 -2 +2 +8 0.9
202623 AAA MLERochester Red Wings — 222209 56936 9632 30 268305426730 158345 284 309 95 — — — — — —
202118 ROK MLEFCL Nationals — 6662 14203 4190 00 226273403676 177275 296 295 86 — — — — — —
202118 ROK RAWFCL Nationals — 6659 19304 7130 00 322394576970 254357 2011 423 86 — — — — — —
202219 A MLEFredericksburg Nationals — 203180 43702 98311 10 239315311626 72418 414 275 72 — — — — — —
202219 A RAWFredericksburg Nationals — 203176 49803 125911 10 278360375735 97393 296 332 72 — — — — — —
202320 A MLE3 teams — 374350 9517310 171164 92 271313423736 151374 315 317 100 — — — — — —
202320 A RAW3 teams — 374340 10621312 26894 92 312367497864 185388 247 378 100 — — — — — —
202421 AA MLE2 teams — 542507 10618114 2217610 63 209256331587 122287 324 259 61 — — — — — —
202421 AA RAW2 teams — 542498 12021119 3114310 63 241299402700 161298 266 311 61 — — — — — —
202522 AAA MLE2 teams — 557527 13524114 221651 54 256287385672 129341 304 291 83 — — — — — —
202522 AAA RAW2 teams — 557521 14026117 281531 54 269307420728 152344 275 319 83 — — — — — —
202623 MLB MLE2 teams — 577529 13527316 381545 60 255311408720 153327 277 313 98 -1 +1 -2 +2 +13 1.3
202623 MLB RAW2 teams — 577526 14129318 411445 60 268327437764 169333 257 337 98 -1 +1 -2 +2 +13 1.3
202118 ROK MLEFCL Nationals — 6662 14203 4190 00 226273403676 177281 296 295 86 — — — — — —
202219 A MLEFredericksburg Nationals — 203181 43702 98311 10 238315309624 72396 414 275 72 — — — — — —
202320 A MLE3 teams — 374350 9517310 171164 92 271313423736 151369 315 317 100 — — — — — —
202421 AA MLE2 teams — 542505 10618114 2217610 63 210256333589 123285 324 259 61 — — — — — —
202522 AAA MLE2 teams — 557529 13524114 221651 54 255287384671 129340 304 291 83 — — — — — —
202623 MLB MLE2 teams — 577529 13527316 381545 60 255311408720 153324 277 313 98 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202421 AA MLE2 teams — 542505 10618114 2217610 63 210256333589 123285 324 259 61 — — — — — —
202522 AAA MLE2 teams — 557529 13524114 221651 54 255287384671 129340 304 291 83 — — — — — —
202623 MLB MLE2 teams — 577529 13527316 381545 60 255311408720 153324 277 313 98 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202724 MLB MLEWSH 100% 611559 14528317 421585 72 260317412729 152329 267 323 105 +3 +1 -2 +2 +13 1.4
▸ 2027 — real world (MLB)
202724 MLB CTXWSH 100% 390357 9218111 271013 51 260317411728 151329 267 322 105 +2 +1 -1 +1 +8 1.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202825 MLB MLEWSH 92% 561512 13326216 391445 72 260318414732 154329 267 324 105 +4 +1 -1 +2 +12 1.7
202926 MLB MLEWSH 92% 561512 13326216 391445 62 260318413732 154329 267 324 105 +4 +0 -1 +2 +12 1.7
203027 MLB MLEWSH 92% 555506 13226216 391445 61 259317411728 152328 267 322 104 +3 +1 -1 +2 +12 1.7
203128 MLB MLEWSH 92% 545498 12825215 381424 41 257315406721 149327 267 319 102 +2 +0 -2 +2 +12 1.4
203229 MLB MLEWSH 92% 530484 12324214 371404 21 253311398708 145323 267 314 99 -1 +0 -3 +2 +11 1.0
203330 MLB MLEWSH 92% 515471 11723213 351374 11 248306387693 139319 277 308 95 -3 -0 -3 +2 +11 0.6
203431 MLB MLEWSH 92% 496455 11021112 341344 00 243300376677 133315 277 301 90 -6 +0 -4 +2 +11 0.3
203532 MLB MLEWSH 92% 474437 10319111 311313 00 237293362655 125310 287 293 84 -9 +0 -5 +2 +10 -0.2
202825 MLB CTXWSH 92% 516470 12324215 361335 61 260318413731 153329 267 324 105 +3 +1 -1 +2 +11 1.6
202926 MLB CTXWSH 92% 516471 12324215 361334 61 260318413731 153329 267 324 105 +3 +1 -1 +2 +11 1.6
203027 MLB CTXWSH 92% 511466 12124214 361324 51 259317410727 151328 267 322 104 +3 +1 -1 +2 +11 1.5
203128 MLB CTXWSH 92% 501457 11823214 351314 41 257315405720 148327 267 319 102 +1 +0 -2 +2 +11 1.3
203229 MLB CTXWSH 92% 488447 11222113 341294 21 253311397708 144324 267 314 99 -1 +0 -3 +2 +11 0.9
203330 MLB CTXWSH 92% 474435 10721112 321274 11 248306387693 139319 277 308 95 -3 -0 -3 +2 +10 0.6
203431 MLB CTXWSH 92% 456419 10220111 311233 00 243300376677 133315 277 301 90 -5 +0 -4 +2 +10 0.2
203532 MLB CTXWSH 92% 436401 9518110 291203 00 237293362655 125310 287 293 84 -8 +0 -4 +2 +9 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 45274147 104120512118 306119734 329 251308392699 141323 267 310 94 -20 +3 -19 +18 +98 8.1
/ 162G— A+C — 650595 14929217 441725 51 250307392699 141322 267 310 94 -3 +0 -3 +3 +14 1.2
Career— MLE — 69466387 160030324183 431193068 5818 251305391696 141328 286 307 94 -18 +3 -22 +21 +114 9.9
/ 162G— MLE — 650598 14928217 401816 52 249302388690 139327 286 307 94 -2 +0 -3 +3 +14 1.2

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 AAARochester Red Wings · 222 PAwOBA .361 → .309 (−52)K% 23.9% → 28.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.87%÷1.000×1.200——28.65%
BB% (unintentional) /PA5.41%÷1.000×0.690—×1.0503.92%
HBP% /PA0.90%—×0.940—×1.0500.89%
Singles /BIP26.14%÷1.000×0.930×0.997×1.05025.45%
Doubles /BIP7.19%÷1.000×0.830×0.997×1.0506.25%
Triples /BIP1.96%÷1.000×0.970×0.997×1.0501.99%
Home runs /BIP5.23%÷1.000×0.700—×1.0503.84%

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 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .361 → .309; ISO .199 → .156; BABIP .367 → .345. 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 AAARochester Red Wings · 283 PAwOBA .372 → .327 (−45)K% 26.5% → 30.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.50%÷1.028×1.200——30.94%
BB% (unintentional) /PA6.71%÷0.978×0.690—×1.0504.97%
HBP% /PA0.35%—×0.940—×1.0500.35%
Singles /BIP27.03%÷0.987×0.930×1.032×1.05027.59%
Doubles /BIP8.11%÷1.000×0.830×1.032×1.0507.29%
Triples /BIP0.54%÷1.150×0.970×1.032×1.0500.49%
Home runs /BIP7.03%÷0.960×0.700—×1.0505.38%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 97, 2B 100, 3B 130, K 106, BB 96 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .372 → .327; ISO .215 → .169; BABIP .379 → .370. 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 AAHarrisburg Senators · 306 PAwOBA .319 → .274 (−44)K% 24.5% → 29.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.51%÷1.008×1.220——29.66%
BB% (unintentional) /PA7.84%÷1.051×0.700—×1.0505.48%
HBP% /PA2.29%—×0.850—×1.0502.04%
Singles /BIP19.60%÷1.010×0.970×0.986×1.05019.47%
Doubles /BIP5.53%÷0.964×0.860×0.986×1.0505.10%
Triples /BIP0.50%÷0.915×0.950×0.986×1.0500.54%
Home runs /BIP6.53%÷0.990×0.780—×1.0505.41%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 102, 2B 93, 3B 83, K 102, BB 110 — 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 ×0.986.

Result: wOBA .319 → .274; ISO .190 → .157; BABIP .273 → .264. 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 AAARochester Red Wings · 236 PAwOBA .285 → .239 (−46)K% 28.8% → 36.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.81%÷0.958×1.200——36.08%
BB% (unintentional) /PA2.97%÷0.969×0.690—×1.0502.22%
HBP% /PA1.27%—×0.940—×1.0501.25%
Singles /BIP25.64%÷1.029×0.930×1.025×1.05024.94%
Doubles /BIP6.41%÷0.962×0.830×1.025×1.0505.95%
Triples /BIP0.00%÷1.150×0.970×1.025×1.0500.00%
Home runs /BIP3.85%÷0.986×0.700—×1.0502.87%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 106, 2B 92, 3B 130, K 92, BB 94 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .285 → .239; ISO .125 → .093; BABIP .329 → .313. 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 AFredericksburg Nationals · 158 PAwOBA .373 → .309 (−64)K% 21.5% → 29.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.52%÷0.978×1.360——29.94%
BB% (unintentional) /PA10.13%÷1.126×0.690—×1.0306.39%
HBP% /PA0.63%—×0.780—×1.0300.51%
Singles /BIP25.00%÷1.016×0.920×1.030×1.03024.02%
Doubles /BIP7.69%÷1.065×0.830×1.030×1.0306.36%
Triples /BIP0.96%÷1.150×0.910×1.030×1.0300.81%
Home runs /BIP5.77%÷0.917×0.800—×1.0305.18%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 103, 2B 113, 3B 130, K 96, BB 125 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .373 → .309; ISO .203 → .170; BABIP .350 → .322. 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 AAHarrisburg Senators · 148 PAwOBA .359 → .316 (−44)K% 28.4% → 34.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.38%÷1.005×1.220——34.46%
BB% (unintentional) /PA4.73%÷1.016×0.700—×1.0503.42%
HBP% /PA0.68%—×0.850—×1.0500.60%
Singles /BIP32.99%÷1.013×0.970×1.006×1.05033.37%
Doubles /BIP8.25%÷1.033×0.860×1.006×1.0507.26%
Triples /BIP2.06%÷0.935×0.950×1.006×1.0502.21%
Home runs /BIP3.09%÷1.115×0.780—×1.0502.27%

Factors used: league row EL. Park (home-season share, regressed): HR 123, 1B 103, 2B 107, 3B 87, K 101, BB 103 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .359 → .316; ISO .151 → .121; BABIP .442 → .433. 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+Wilmington Blue Rocks · 68 PAwOBA .387 → .336 (−51)K% 19.1% → 25.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.12%÷0.973×1.310——25.75%
BB% (unintentional) /PA4.41%÷1.005×0.600—×1.0422.75%
HBP% /PA2.94%—×0.770—×1.0422.36%
Singles /BIP24.00%÷0.981×0.870×1.013×1.04222.48%
Doubles /BIP10.00%÷0.894×0.780×1.013×1.0429.22%
Triples /BIP0.00%÷0.913×0.850×1.013×1.0420.00%
Home runs /BIP6.00%÷0.913×0.880—×1.0426.03%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 83, 1B 96, 2B 79, 3B 83, K 95, BB 101 — 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 ×1.013.

Result: wOBA .387 → .336; ISO .222 → .204; BABIP .362 → .337. 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 AFredericksburg Nationals · 203 PAwOBA .328 → .275 (−53)K% 29.1% → 40.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.06%÷0.966×1.360——40.92%
BB% (unintentional) /PA5.91%÷0.970×0.690—×1.0454.40%
HBP% /PA5.42%—×0.780—×1.0454.42%
Singles /BIP32.48%÷0.986×0.920×1.050×1.04533.25%
Doubles /BIP6.84%÷0.933×0.830×1.050×1.0456.67%
Triples /BIP0.00%÷0.910×0.910×1.050×1.0450.00%
Home runs /BIP2.56%÷1.074×0.800—×1.0452.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 97, 2B 87, 3B 82, K 93, BB 94 — 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 ×1.050.

Result: wOBA .328 → .275; ISO .097 → .073; BABIP .393 → .396. 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).