Lars Nootbaar

LF Arizona Diamondbacks
Age 29 L/R 6'1" / 205 lbs MLB HR -11% Svc 5.442 · Ctrl thru 2027
Overview
MLB40-MANArb-3FA 2028
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202426AAA/AASTL54.227/.370/.4092060—.192/.296/.299
202426MLBSTL405.244/.344/.4171271160.9
202527MLBSTL583.234/.326/.36113497-0.1
202628AAA/AASTL40.219/.375/.4382071—.170/.275/.283
202628MLBARI334.239/.344/.379821000.3
2027PROJ29MLBARI363.251/.343/.4101031100.9
2028PROJ30MLBARI505.246/.339/.4001431070.8
2029PROJ31MLBARI492.241/.333/.3871331020.4
Last 3 seasons WAR 1.1  ·  Next 3 projected WAR 2.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2027Service5.442First FA2028
2027Arb-3$6M
Skills · percentileStatcast 2024-2026
Avg EV87
xwOBA74
Bat Spd70
Barrel%63
Speed50
Form.237/.340/.398 · rolling true talent (60d window) · proj .245/.336/.402
CompsDJ Stewart (age 29) · Trenton Brooks (age 29) · Brian Myrow (age 29)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 96110vR 115
AVG/OBP/SLG.251 / .343 / .410
PA363
HR10
K%20
BB%12
BABIP293
ISO159
MLB%100%
Value2027 · WAR
BAT: +4.5 runs (wOBA-derived runs vs avg)+4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.0 runs (Defensive runs vs avg)-0FLDPOS: -3.9 runs (Positional adjustment)-4POSREP: +7.9 runs (Replacement-level credit)+8REPTotal WAR: +1.10+1.1WAR
trajectory · projected WAR by year
1.10.80.40.0272830
Tools · Recent Form · Splits · ContractCON 50 / POW 55
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT50
xAVG
410.244
POWER55
Barrel%
6310.1
Avg EV
8791.6
Bat Spd
7073.4
EYE60
scouting grade only
SPEED50
Sprint
5027.5
Recent Formrolling true talent ⓘ
K%24%▼▼26% over 85 PA (60d) · proj 20%
BB%13%▲15% over 85 PA (60d) · proj 12%
ISO.162·.171 over 70 AB (60d) · proj .157
HR/BB5.0%·6.1% over 49 BBE (60d) · proj 4.4%
BABIP.287·.348 over 46 BIP (60d) · proj .284
SLASH.237/.340/.398·proj .245/.336/.402
Platoon Splits2024-2025 · 988 PA
vs LHP
vs RHP
Edge
PA
289
699
—
wRC+
89
107
▶▶R
wOBA
299
326
▶R
ISO
118
158
▶▶R
BABIP
301
271
◀L
K%
25.6%
17.7%
▶▶R
BB%
10.0%
11.7%
▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2021
Service   5.442 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2027Arb-3$6M+1.1$9M+$3M
Totals $6M $9M +$3M

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)
201921 AASpringfield Cardinals — 11093 25210 16220 11 269376312688 43347 2015 320 70 — — — — — —
201921 A+Palm Beach Cardinals — 155142 39302 13200 12 275335338674 63308 138 309 52 — — — — — —
201921 APeoria Chiefs — 122106 26415 16130 21 245344443788 198239 1113 351 63 — — — — — —
202123 MLBSt. Louis Cardinals — 124109 26315 13280 21 239320422742 183273 2310 325 107 +1 +0 +1 -4 +3 0.1
202123 AAAMemphis Redbirds — 136117 36216 17252 13 308404496900 188349 1812 400 114 — — — — — —
202123 INTLGlendale Desert Dogs — 8770 22615 14152 00 3144426431.085 329333 1716 460 197 — — — — — —
202224 MLBSt. Louis Cardinals — 347290 6616314 51711 41 228345448793 221248 2015 348 125 +10 +0 +3 -5 +8 1.7
202224 AAAMemphis Redbirds — 7763 14404 10191 20 222338476814 254233 2513 345 72 — — — — — —
202325 MLBSt. Louis Cardinals — 503426 11123114 72991 111 261369418787 157307 2014 353 126 +15 +2 +2 +2 +11 3.2
202325 AAAMemphis Redbirds — 1615 7102 120 00 4675009331.433 467455 126 610 212 — — — — — —
202426 MLBSt. Louis Cardinals — 405348 8518312 52791 73 244344417761 172281 2013 338 116 +8 +0 -3 -5 +9 0.9
202426 AAAMemphis Redbirds — 2017 3100 340 00 176300235535 59231 2015 259 28 — — — — — —
202426 AASpringfield Cardinals — 3427 7102 790 00 259412519930 259312 2621 410 79 — — — — — —
202527 MLBSt. Louis Cardinals — 583509 11924113 641196 45 234326361688 128279 2011 312 97 -2 -1 -4 -6 +13 -0.1
202628 MLBArizona Diamondbacks — 334285 681418 46700 21 239344379723 140287 2114 327 100 -0 +0 +0 -4 +7 0.3
202628 AAAMemphis Redbirds — 2320 5002 330 00 250348550898 300200 1313 390 82 — — — — — —
202628 AASpringfield Cardinals — 1712 2100 520 00 167412250662 83200 1229 334 57 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 22961967 475981066 2984669 3012 241344402746 161282 2013 334 112 +33 +1 -1 -22 +50 6.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201921 AA MLESpringfield Cardinals — 11097 23210 12270 11 237321278599 41319 2511 271 70 — — — — — —
201921 A+ MLEPalm Beach Cardinals — 155145 33302 10280 12 228277290567 62261 186 245 52 — — — — — —
201921 A MLEPeoria Chiefs — 122112 22314 10170 21 196262348611 152199 148 262 63 — — — — — —
202123 MLB MLESt. Louis Cardinals — 124110 26315 12280 21 236311418730 182273 2310 326 107 +1 +0 +1 -4 +3 0.1
202123 AAA MLEMemphis Redbirds — 136124 35215 10312 13 282346435781 153335 237 337 114 — — — — — —
202224 MLB MLESt. Louis Cardinals — 347291 6615315 50711 41 227342454796 227248 2014 352 125 +10 +0 +3 -5 +8 1.7
202224 AAA MLEMemphis Redbirds — 7766 12303 7231 20 182270364634 182196 309 275 72 — — — — — —
202325 MLB MLESt. Louis Cardinals — 503428 11122115 70991 111 259365421785 161307 2014 354 126 +15 +2 +2 +2 +11 3.2
202325 AAA MLEMemphis Redbirds — 1615 6101 120 00 4004386671.104 267392 126 481 212 — — — — — —
202426 MLB MLESt. Louis Cardinals — 405350 8517313 50791 73 243339420759 177281 2012 339 116 +8 +0 -3 -5 +9 0.9
202426 AAA MLEMemphis Redbirds — 2018 3100 250 00 167250222472 56214 2510 209 28 — — — — — —
202426 AA MLESpringfield Cardinals — 3429 6101 5120 00 207324345668 138265 3515 285 79 — — — — — —
202527 MLB MLESt. Louis Cardinals — 583512 11923114 611196 45 232321363685 131279 2010 311 97 -2 -1 -4 -6 +13 -0.1
202628 MLB MLEArizona Diamondbacks — 334288 661218 43700 21 229329361690 132287 2113 316 100 -0 +0 +0 -4 +7 0.3
202628 AAA MLEMemphis Redbirds — 2321 4001 240 00 190261333594 143175 179 290 82 — — — — — —
202628 AA MLESpringfield Cardinals — 1714 2100 320 00 143294214508 71169 1218 253 57 — — — — — —
201921 A+ MLE3 teams — 387354 77726 32720 44 218282299582 82256 198 258 61 — — — — — —
201921 A+ RAW3 teams — 387341 90927 45550 44 264350364713 100296 1412 325 61 — — — — — —
202123 AAA MLE3 teams — 347311 816313 29794 34 260331424756 164308 238 332 111 — — — — — —
202123 AAA RAW3 teams — 347296 8411316 44684 34 284384503887 220318 2013 388 111 — — — — — —
202224 MLB MLE2 teams — 424357 7919318 57942 61 221332443774 221241 2213 338 115 +8 +1 +3 -5 +9 1.7
202224 MLB RAW2 teams — 424353 8020318 61902 61 227344453797 227245 2114 347 115 +8 +1 +3 -5 +9 1.7
202325 MLB MLE2 teams — 519443 11823117 711011 111 266369438807 172308 1914 358 128 +18 +2 +2 +2 +11 3.5
202325 MLB RAW2 teams — 519441 11824116 731011 111 268373435808 168312 1914 360 128 +18 +2 +2 +2 +11 3.5
202426 MLB MLE3 teams — 459397 9319314 57961 73 234332403735 169272 2112 330 109 +5 +0 -3 -5 +10 0.8
202426 MLB RAW3 teams — 459392 9520314 62921 73 242347416763 173280 2014 340 109 +5 +0 -3 -5 +10 0.8
202527 MLB MLESt. Louis Cardinals — 583512 11923114 611196 45 232321363685 131275 2010 311 97 -2 -1 -4 -6 +13 -0.1
202527 MLB RAWSt. Louis Cardinals — 583509 11924113 641196 45 234326361688 128279 2011 312 97 -2 -1 -4 -6 +13 -0.1
202628 MLB MLE3 teams — 374323 7313110 48760 21 226326365691 139264 2013 311 97 -1 +0 +0 -4 +8 0.3
202628 MLB RAW3 teams — 374317 7515110 54750 21 237348385733 148278 2014 331 97 -1 +0 +0 -4 +8 0.3
201921 A+ MLE3 teams — 387352 77726 32720 44 219282301584 82258 198 258 61 — — — — — —
202123 AAA MLE3 teams — 347311 816313 29794 34 260331424756 164305 238 332 111 — — — — — —
202224 MLB MLE2 teams — 424362 7919318 57942 61 218332436768 218238 2213 338 115 — — — — — —
202325 MLB MLE2 teams — 519442 11823117 711011 111 267369439808 172310 1914 358 128 — — — — — —
202426 MLB MLE3 teams — 459398 9319314 57961 73 234332402734 168277 2112 330 109 — — — — — —
202527 MLB MLESt. Louis Cardinals — 583511 11923114 611196 45 233321364685 131279 2010 311 97 — — — — — —
202628 MLB MLE3 teams — 374323 7313110 48760 21 226326365691 139275 2013 311 97 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202426 MLB MLE3 teams — 459398 9319314 57961 73 234332402734 168277 2112 330 109 — — — — — —
202527 MLB MLESt. Louis Cardinals — 583511 11923114 611196 45 233321364685 131279 2010 311 97 — — — — — —
202628 MLB MLE3 teams — 374323 7313110 48760 21 226326365691 139275 2013 311 97 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202729 MLB MLEARI 100% 453395 9718214 53922 41 245339402741 157284 2012 331 110 +6 +0 -0 -5 +10 1.1
▸ 2027 — real world (MLB)
202729 MLB CTXARI 100% 363315 7916210 43732 31 251343410753 159293 2012 336 110 +4 +0 -0 -4 +8 0.9
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202830 MLB MLEARI 100% 505439 10620115 591042 31 241334393727 152281 2112 326 107 +4 +0 -2 -5 +11 0.8
202931 MLB MLEARI 100% 492430 10119114 571032 31 236328380709 145276 2112 319 102 +1 +0 -3 -5 +11 0.4
203032 MLB MLEARI 100% 479419 9617113 551022 20 229321365686 136271 2111 310 96 -2 +0 -4 -5 +10 -0.0
202830 MLB CTXARI 100% 505439 10822214 591042 31 246339400739 153290 2112 331 107 +4 +0 -2 -5 +11 0.8
202931 MLB CTXARI 100% 492430 10321113 571032 31 241333387720 146285 2112 323 102 +1 +0 -3 -5 +11 0.4
203032 MLB CTXARI 100% 479419 9820112 551022 20 234325371696 138279 2111 314 96 -2 +0 -4 -5 +10 -0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 37723255 78416114105 46977515 3814 241339396735 155283 2112 329 103 +36 +2 -9 -37 +82 7.4
/ 162G— A+C — 650561 13528218 811343 72 241340394734 153283 2112 329 103 +6 +0 -2 -6 +14 1.3
Career— MLE — 49324300 102118118145 569101922 4822 237330389719 152277 2112 321 103 +40 +2 -9 -41 +90 8.3
/ 162G— MLE — 650567 13424219 751343 63 236329386715 150275 2112 321 103 +6 +0 -1 -6 +14 1.3

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 AAAMemphis Redbirds · 23 PAwOBA .379 → .290 (−89)K% 13.0% → 15.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.04%÷1.000×1.200——15.65%
BB% (unintentional) /PA13.04%÷1.000×0.690—×0.9828.84%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP17.65%÷1.000×0.930—×0.98216.12%
Doubles /BIP0.00%÷1.000×0.830—×0.9820.00%
Triples /BIP0.00%÷1.000×0.970—×0.9820.00%
Home runs /BIP11.76%÷1.000×0.700—×0.9828.09%

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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .379 → .290; ISO .300 → .211; BABIP .200 → .175. 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 AASpringfield Cardinals · 17 PAwOBA .328 → .253 (−75)K% 11.8% → 14.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.76%÷1.000×1.220——14.35%
BB% (unintentional) /PA29.41%÷1.000×0.700—×0.95819.72%
HBP% /PA0.00%—×0.870—×0.9580.00%
Singles /BIP10.00%÷1.000×0.920—×0.9588.81%
Doubles /BIP10.00%÷1.000×0.840—×0.9588.05%
Triples /BIP0.00%÷1.000×0.940—×0.9580.00%
Home runs /BIP0.00%÷1.000×0.800—×0.9580.00%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .328 → .253; ISO .083 → .075; BABIP .200 → .169. 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 AASpringfield Cardinals · 34 PAwOBA .400 → .285 (−115)K% 26.5% → 34.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.47%÷0.943×1.220——34.26%
BB% (unintentional) /PA20.59%÷0.992×0.700—×0.97814.21%
HBP% /PA0.00%—×0.870—×0.9780.00%
Singles /BIP22.22%÷0.998×0.920—×0.97820.03%
Doubles /BIP5.56%÷0.940×0.840—×0.9784.86%
Triples /BIP0.00%÷1.150×0.940—×0.9780.00%
Home runs /BIP11.11%÷1.386×0.800—×0.9786.27%

Factors used: league row TL. Park (home-season share, regressed): HR 177, 1B 100, 2B 88, 3B 130, K 89, BB 98 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .400 → .285; ISO .259 → .154; BABIP .312 → .265. 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 AAAMemphis Redbirds · 20 PAwOBA .254 → .209 (−45)K% 20.0% → 25.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷0.953×1.200——25.19%
BB% (unintentional) /PA15.00%÷1.014×0.690—×1.00310.24%
HBP% /PA0.00%—×0.940—×1.0030.00%
Singles /BIP15.38%÷0.991×0.930—×1.00314.48%
Doubles /BIP7.69%÷0.920×0.830—×1.0036.96%
Triples /BIP0.00%÷1.150×0.970—×1.0030.00%
Home runs /BIP0.00%÷1.020×0.700—×1.0030.00%

Factors used: league row International League. Park (home-season share, regressed): HR 104, 1B 98, 2B 84, 3B 130, K 91, BB 103 — 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).

Result: wOBA .254 → .209; ISO .059 → .053; BABIP .231 → .214. 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 AAAMemphis Redbirds · 16 PAwOBA .591 → .481 (−111)K% 12.5% → 15.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.50%÷0.990×1.200——15.16%
BB% (unintentional) /PA6.25%÷1.010×0.690—×1.0184.35%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP30.77%÷1.040×0.930—×1.01828.00%
Doubles /BIP7.69%÷0.969×0.830—×1.0186.71%
Triples /BIP0.00%÷1.150×0.970—×1.0180.00%
Home runs /BIP15.38%÷0.955×0.700—×1.01811.48%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 108, 2B 94, 3B 130, K 98, 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).

Result: wOBA .591 → .481; ISO .467 → .353; BABIP .455 → .392. 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 AAAMemphis Redbirds · 77 PAwOBA .350 → .275 (−75)K% 24.7% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.68%÷0.976×1.200——30.35%
BB% (unintentional) /PA12.99%÷1.053×0.690—×1.0338.79%
HBP% /PA1.30%—×0.940—×1.0331.26%
Singles /BIP13.64%÷1.051×0.930×0.979×1.03312.21%
Doubles /BIP9.09%÷1.019×0.830×0.979×1.0337.49%
Triples /BIP0.00%÷1.150×0.970×0.979×1.0330.00%
Home runs /BIP9.09%÷1.048×0.700—×1.0336.27%

Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 110, 2B 104, 3B 130, K 95, BB 111 — 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 ×0.979.

Result: wOBA .350 → .275; ISO .254 → .192; BABIP .233 → .196. 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 AAAMemphis Redbirds · 136 PAwOBA .383 → .337 (−47)K% 18.4% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.38%÷0.955×1.200——23.11%
BB% (unintentional) /PA10.29%÷1.056×0.690—×1.0487.05%
HBP% /PA1.47%—×0.940—×1.0481.45%
Singles /BIP29.35%÷1.016×0.930×1.031×1.04829.02%
Doubles /BIP2.17%÷1.029×0.830×1.031×1.0481.89%
Triples /BIP1.09%÷1.150×0.920×1.031×1.0480.94%
Home runs /BIP6.52%÷0.949×0.700—×1.0485.04%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 106, 3B 130, K 91, BB 111 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .383 → .337; ISO .188 → .150; BABIP .349 → .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).

2019 A+Palm Beach Cardinals · 155 PAwOBA .301 → .245 (−56)K% 12.9% → 18.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.90%÷1.014×1.420——18.07%
BB% (unintentional) /PA8.39%÷0.991×0.750—×1.0126.43%
HBP% /PA0.00%—×0.930—×1.0120.00%
Singles /BIP27.87%÷1.048×0.920×0.950×1.01223.52%
Doubles /BIP2.46%÷1.047×0.960×0.950×1.0122.17%
Triples /BIP0.00%÷0.900×0.810×0.950×1.0120.00%
Home runs /BIP1.64%÷0.912×0.880—×1.0121.60%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 110, 2B 109, 3B 80, K 103, BB 98 — 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 ×0.950.

Result: wOBA .301 → .245; ISO .063 → .057; BABIP .308 → .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).

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