Riley Adams

C Rochester Red Wings
Age 31 R/R 6'4" / 263 lbs AAA Svc 3.994 · Ctrl thru 2029
Overview
AAAArb-1FA 2030
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202428AAAWSH170.285/.385/.5289195—.227/.314/.393
202428MLBWSH130.224/.297/.33621760.2
202529MLBWSH286.186/.252/.3088159-0.3
202630AAAWSH324.273/.390/.50616192—.222/.316/.380
2027PROJ10% MLB31MLBWSH23.220/.299/.37610910.0
2028PROJ33% MLB32MLBWSH63.214/.293/.3622085-0.1
Last 3 seasons WAR -0.1  ·  Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2029Service3.994First FA2030
2027Arb-1$0.7M2028Arb-2$0.7M2029Ext$2M
Skills · percentileStatcast 2023-2025
Bat Spd90
Avg EV75
Barrel%50
Speed32
xwOBA26
CompsAnthony Recker (age 31) · Eric Haase (age 31) · John Hicks (age 31)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 9291vR 86
AVG/OBP/SLG.220 / .299 / .376
PA23
HR1
K%30
BB%9
BABIP285
ISO200
MLB%10%
Value2027 · WAR
BAT: -2.5 runs (wOBA-derived runs vs avg)-2BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: -3.5 runs (Defensive runs vs avg)-4FLDPOS: +4.1 runs (Positional adjustment)+4POSREP: +4.9 runs (Replacement-level credit)+5REPTotal WAR: +0.40+0.4WAR
0.00.51.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus
Tools · Splits · ContractCON 40 / POW 50
Toolsscout grade · Statcast %ile · 2023-2025
CONTACT40
xAVG
100.215
POWER50
Barrel%
508.2
Avg EV
7590.8
Bat Spd
9078.3
EYE45
scouting grade only
SPEED45
Sprint
3226.6
Platoon Splits2024-2025 · 416 PA
vs LHP
vs RHP
Edge
PA
152
264
—
wRC+
47
71
▶▶R
wOBA
238
274
▶R
ISO
110
124
▶R
BABIP
241
311
▶▶R
K%
35.5%
34.5%
—
BB%
6.6%
6.4%
—
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2021
Service   3.994 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$0.7M+0.0$0.2M+$0.0M (cut)
2028Arb-2$0.7M———
2029Extbeyond projection horizon · no WAR estimate
Totals $0.0M $-0.2M +$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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
201822 A+Dunedin Blue Jays — 409349 862614 50938 30 246354361715 115323 2312 327 63 — — — — — —
201923 AANew Hampshire Fisher Cats — 332287 7415211 3210510 31 258353439792 181362 3210 351 81 — — — — — —
201923 A+Dunedin Blue Jays — 8365 18303 14184 10 277434462895 185341 2217 406 95 — — — — — —
202125 MLBWashington Nationals — 12099 22812 15406 00 222358384742 162351 3312 341 118 +3 +0 -5 +5 +3 0.5
202125 AAARochester Red Wings — 148120 28617 18469 00 233374475849 242309 3112 377 86 — — — — — —
202226 MLBWashington Nationals — 155142 25405 12461 01 176245310555 134220 308 252 57 -8 -0 -6 +5 +3 -0.6
202226 AAARochester Red Wings — 123107 24804 11414 00 224320411731 187317 339 326 67 — — — — — —
202327 MLBWashington Nationals — 158143 391324 11452 00 273333476809 203368 287 351 126 +5 +0 -4 +3 +3 0.7
202428 MLBWashington Nationals — 130116 26512 10352 10 224297336633 112296 278 284 76 -4 +0 -2 +5 +3 0.2
202428 AAARochester Red Wings — 170144 41809 16448 10 285385528912 243348 269 399 95 — — — — — —
202529 MLBWashington Nationals — 286263 49808 181105 10 186252308560 122283 386 255 59 -14 +0 -0 +5 +6 -0.3
202630 AAARochester Red Wings — 324271 7415016 418011 11 273390506896 232330 2513 396 92 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 849763 16138421 6627616 21 211288354641 143299 338 289 82 -18 +0 -18 +23 +18 0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201822 A+ MLEDunedin Blue Jays — 409363 722313 361358 30 198285292577 94300 339 261 63 — — — — — —
201923 AA MLENew Hampshire Fisher Cats — 332295 6311210 2412710 31 214295366661 153323 387 288 81 — — — — — —
201923 A+ MLEDunedin Blue Jays — 8368 15302 11264 10 221361353714 132304 3113 309 95 — — — — — —
202125 MLB MLEWashington Nationals — 12099 22812 15406 00 222358384742 162351 3312 342 118 +3 +0 -5 +5 +3 0.5
202125 AAA MLERochester Red Wings — 148125 24515 13569 00 192313368681 176277 389 296 86 — — — — — —
202226 MLB MLEWashington Nationals — 155142 25405 12461 01 176245310555 134220 308 252 57 -8 -0 -6 +5 +3 -0.6
202226 AAA MLERochester Red Wings — 123111 21703 7474 00 189262333596 144298 386 267 67 — — — — — —
202327 MLB MLEWashington Nationals — 158143 391324 11452 00 273333476809 203368 287 354 126 +5 +0 -4 +3 +3 0.7
202428 MLB MLEWashington Nationals — 130117 26512 9352 10 222289333622 111296 277 281 76 -4 +0 -2 +5 +3 0.2
202428 AAA MLERochester Red Wings — 170150 34706 11558 10 227314393707 167304 326 309 95 — — — — — —
202529 MLB MLEWashington Nationals — 286263 49808 181105 10 186252308560 122283 386 255 59 -14 +0 -0 +5 +6 -0.3
202630 AAA MLERochester Red Wings — 324284 6312011 289611 11 222316380696 158287 309 304 92 — — — — — —
201822 A+ MLEDunedin Blue Jays — 409363 722313 361358 30 198285292577 94304 339 261 63 — — — — — —
201822 A+ RAWDunedin Blue Jays — 409349 862614 50938 30 246354361715 115323 2312 327 63 — — — — — —
201923 AA MLE2 teams — 415364 7814212 3415414 41 214306363668 148328 378 292 84 — — — — — —
201923 AA RAW2 teams — 415352 9218214 4612314 41 261369443812 182358 3011 362 84 — — — — — —
202125 AAA MLE2 teams — 268224 461327 289615 00 205333375708 170320 3610 317 100 — — — — — —
202125 AAA RAW2 teams — 268219 501429 338615 00 228367434801 205328 3212 360 100 — — — — — —
202226 MLB MLE2 teams — 278253 461108 19935 01 182253320573 138248 337 259 61 -13 -0 -6 +5 +6 -0.8
202226 MLB RAW2 teams — 278249 491209 23875 01 197278353631 157260 318 285 61 -13 -0 -6 +5 +6 -0.8
202327 MLB MLEWashington Nationals — 158143 391324 11452 00 273333476809 203368 287 354 126 +5 +0 -4 +3 +3 0.7
202327 MLB RAWWashington Nationals — 158143 391324 11452 00 273333476809 203368 287 351 126 +5 +0 -4 +3 +3 0.7
202428 AAA MLE2 teams — 300267 601218 209010 20 225303367670 142302 307 297 87 — — — — — —
202428 AAA RAW2 teams — 300260 6713111 267910 20 258347442789 185324 269 349 87 — — — — — —
202529 MLB MLEWashington Nationals — 286263 49808 181105 10 186252308560 122283 386 255 59 -14 +0 -0 +5 +6 -0.3
202529 MLB RAWWashington Nationals — 286263 49808 181105 10 186252308560 122283 386 255 59 -14 +0 -0 +5 +6 -0.3
202630 AAA MLERochester Red Wings — 324284 6312011 289611 11 222316380696 158292 309 304 92 — — — — — —
202630 AAA RAWRochester Red Wings — 324271 7415016 418011 11 273390506896 232330 2513 396 92 — — — — — —
201822 A+ MLEDunedin Blue Jays — 409362 722313 361358 30 199285293578 94300 339 261 63 — — — — — —
201923 AA MLE2 teams — 415364 7814212 3415414 41 214306363668 148319 378 292 84 — — — — — —
202125 AAA MLE2 teams — 268223 461327 289615 00 206333377710 170310 3610 317 100 — — — — — —
202226 MLB MLE2 teams — 278252 461108 19935 01 183253321574 139254 337 259 61 — — — — — —
202327 MLB MLEWashington Nationals — 158144 391324 11452 00 271333472806 201368 287 354 126 — — — — — —
202428 AAA MLE2 teams — 300267 601218 209010 20 225303367670 142301 307 297 87 — — — — — —
202529 MLB MLEWashington Nationals — 286261 49808 181105 10 188252310562 123283 386 255 59 — — — — — —
202630 AAA MLERochester Red Wings — 324282 6312011 289611 11 223316383699 160287 309 304 92 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202428 AAA MLE2 teams — 300267 601218 209010 20 225303367670 142301 307 297 87 — — — — — —
202529 MLB MLEWashington Nationals — 286261 49808 181105 10 188252310562 123283 386 255 59 — — — — — —
202630 AAA MLERochester Red Wings — 324282 6312011 289611 11 223316383699 160287 309 304 92 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202731 MLB MLEWSH 10% 339302 6612111 26998 21 220299376676 156285 298 303 91 -4 +0 -5 +6 +7 0.4
▸ 2027 — real world (MLB)
202731 MLB CTXWSH 10% 2320 5101 271 00 220299376676 156285 309 303 91 -0 +0 -0 +0 +0 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202832 MLB MLEWSH 33% 192171 37706 15574 00 214292362655 148279 308 294 85 -3 +0 -6 +3 +4 -0.2
202832 MLB CTXWSH 33% 6357 12202 5191 00 214293362655 148280 308 294 85 -1 +0 -2 +1 +1 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 912820 17340423 7129517 21 211287354641 143297 328 289 82 -19 +0 -20 +24 +20 0.5
/ 162G— A+C — 650584 12429316 5121012 11 212289354643 142300 328 289 82 -14 +0 -14 +17 +14 0.3
Career— MLE — 28582535 534121974 22794379 123 211296353649 142300 338 289 82 -24 +0 -28 +31 +27 0.6
/ 162G— MLE — 650577 12228217 5221418 31 211297355652 144301 338 289 82 -12 +0 -14 +16 +14 0.3

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 AAARochester Red Wings · 324 PAwOBA .386 → .304 (−82)K% 24.7% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.69%÷1.000×1.200——29.63%
BB% (unintentional) /PA12.65%÷1.000×0.690—×0.9728.49%
HBP% /PA3.40%—×0.940—×0.9723.10%
Singles /BIP22.51%÷1.000×0.930×1.021×0.97220.79%
Doubles /BIP7.85%÷1.000×0.830×1.021×0.9726.47%
Triples /BIP0.00%÷1.000×0.970×1.021×0.9720.00%
Home runs /BIP8.38%÷1.000×0.700—×0.9725.70%

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 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 ×1.021.

Result: wOBA .386 → .304; ISO .232 → .166; BABIP .330 → .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).

2024 AAARochester Red Wings · 170 PAwOBA .390 → .309 (−82)K% 25.9% → 32.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.88%÷0.958×1.200——32.41%
BB% (unintentional) /PA9.41%÷0.969×0.690—×0.9926.65%
HBP% /PA4.71%—×0.940—×0.9924.39%
Singles /BIP24.00%÷1.029×0.930×1.014×0.99221.81%
Doubles /BIP8.00%÷0.962×0.830×1.014×0.9926.94%
Triples /BIP0.00%÷1.150×0.970×1.014×0.9920.00%
Home runs /BIP9.00%÷0.986×0.700—×0.9926.34%

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 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 ×1.014.

Result: wOBA .390 → .309; ISO .243 → .173; BABIP .348 → .304. 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 AAARochester Red Wings · 123 PAwOBA .317 → .267 (−50)K% 33.3% → 38.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷1.049×1.200——38.15%
BB% (unintentional) /PA8.13%÷0.973×0.690—×1.0185.87%
HBP% /PA3.25%—×0.940—×1.0183.11%
Singles /BIP18.18%÷1.011×0.930×1.035×1.01817.63%
Doubles /BIP12.12%÷0.930×0.830×1.035×1.01811.40%
Triples /BIP0.00%÷0.913×0.970×1.035×1.0180.00%
Home runs /BIP6.06%÷1.084×0.700—×1.0183.98%

Factors used: league row International League. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 83, K 110, BB 95 — 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 ×1.035.

Result: wOBA .317 → .267; ISO .187 → .142; BABIP .317 → .298. 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 AAARochester Red Wings · 148 PAwOBA .369 → .296 (−74)K% 31.1% → 38.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.08%÷0.979×1.200——38.09%
BB% (unintentional) /PA12.16%÷1.014×0.690—×1.0338.55%
HBP% /PA6.08%—×0.940—×1.0335.90%
Singles /BIP18.92%÷0.994×0.930×0.994×1.03318.18%
Doubles /BIP8.11%÷1.005×0.830×0.994×1.0336.88%
Triples /BIP1.35%÷1.150×0.920×0.994×1.0331.11%
Home runs /BIP9.46%÷0.968×0.700—×1.0337.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — 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 ×0.994.

Result: wOBA .369 → .296; ISO .242 → .177; BABIP .309 → .277. 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 AANew Hampshire Fisher Cats · 332 PAwOBA .345 → .288 (−58)K% 31.6% → 38.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.63%÷1.006×1.220——38.34%
BB% (unintentional) /PA9.64%÷0.956×0.700—×1.0277.24%
HBP% /PA3.01%—×0.850—×1.0272.63%
Singles /BIP25.27%÷1.023×0.970×0.950×1.02723.38%
Doubles /BIP8.24%÷1.064×0.860×0.950×1.0276.50%
Triples /BIP1.10%÷0.900×0.950×0.950×1.0271.13%
Home runs /BIP6.04%÷0.860×0.780—×1.0275.63%

Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 105, 2B 113, 3B 80, K 101, BB 91 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .345 → .288; ISO .181 → .154; BABIP .362 → .323. 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 A+Dunedin Blue Jays · 83 PAwOBA .396 → .309 (−87)K% 21.7% → 31.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.69%÷0.966×1.420——31.88%
BB% (unintentional) /PA16.87%÷0.993×0.750—×0.99812.71%
HBP% /PA4.82%—×0.930—×0.9984.47%
Singles /BIP25.53%÷1.029×0.920—×0.99822.79%
Doubles /BIP6.38%÷0.992×0.960—×0.9986.16%
Triples /BIP0.00%÷1.150×0.810—×0.9980.00%
Home runs /BIP6.38%÷1.194×0.880—×0.9984.70%

Factors used: league row FSL. Park (home-season share, regressed): HR 139, 1B 106, 2B 98, 3B 130, K 93, BB 99 — 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).

Result: wOBA .396 → .309; ISO .185 → .132; BABIP .341 → .304. 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).

2018 A+Dunedin Blue Jays · 409 PAwOBA .319 → .261 (−58)K% 22.7% → 33.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.74%÷0.979×1.420——32.99%
BB% (unintentional) /PA11.74%÷1.011×0.750—×1.0128.81%
HBP% /PA1.96%—×0.930—×1.0121.84%
Singles /BIP21.48%÷1.015×0.920×0.994×1.01219.58%
Doubles /BIP10.16%÷0.977×0.960×0.994×1.01210.03%
Triples /BIP0.39%÷1.005×0.810×0.994×1.0120.32%
Home runs /BIP1.56%÷1.147×0.880—×1.0121.21%

Factors used: league row FSL. Park (home-season share, regressed): HR 129, 1B 103, 2B 95, 3B 101, K 96, BB 102 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .319 → .261; ISO .115 → .094; BABIP .323 → .300. 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).