Jonathan India

2B Kansas City Royals
Age 30 R/R 5'10" / 200 lbs MLB HR -15%K -8% Svc 6.000 · Ctrl thru 2027 ILInjured 60-Day (D60)
Overview
MLBIL-6040-MANExt / FA-dealFA 2028
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202427MLBCIN637.248/.361/.39215131122.9
202528MLBKC567.233/.324/.34690960.1
202629MLBKC58.167/.310/.3122089-0.1
2027PROJ30MLBKC129.245/.346/.380311120.4
2028PROJ31MLBKC487.240/.340/.3691021070.9
2029PROJ32MLBKC474.234/.334/.355911010.5
Last 3 seasons WAR 2.9  ·  Next 3 projected WAR 1.8Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2027Service6.000First FA2028
2027Ext / FA-deal$4M
Skills · percentileStatcast 2024-2026
xwOBA71
Speed55
Bat Spd47
Barrel%39
Avg EV28
CompsJohn Jaso (age 31) · Marco Scutaro (age 31) · P.J. Higgins (age 30)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 114112vR 105
AVG/OBP/SLG.245 / .346 / .380
PA129
HR3
K%19
BB%11
BABIP289
ISO135
MLB%100%
Value2027 · WAR
BAT: +1.8 runs (wOBA-derived runs vs avg)+2BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: -1.3 runs (Defensive runs vs avg)-1FLDPOS: +0.5 runs (Positional adjustment)+0POSREP: +2.8 runs (Replacement-level credit)+3REPTotal WAR: +0.50+0.5WAR
trajectory · projected WAR by year
0.50.90.5-0.1-0.527283031
Tools · Splits · ContractCON 55 / POW 45
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT55
xAVG
450.247
POWER45
Barrel%
396.8
Avg EV
2887.4
Bat Spd
4771.0
EYE60
scouting grade only
SPEED55
Sprint
5527.7
Platoon Splits2024-2026 · 1262 PA
vs LHP
vs RHP
Edge
PA
309
953
—
wRC+
114
99
◀L
wOBA
337
314
◀L
ISO
127
131
—
BABIP
299
275
◀L
K%
20.4%
19.0%
▶R
BB%
13.3%
10.6%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2021
Service   6.000 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2027Ext / FA-deal$4M+0.5$2M-$2M
Totals $4M $2M -$2M

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)
201821 ADayton Dragons — 11296 22703 13283 50 229339396735 167292 2512 334 47 — — — — — —
201821 ROKBillings Mustangs — 7254 14213 15163 11 259444500944 241314 2221 421 79 — — — — — —
201922 AAChattanooga Lookouts — 145111 30303 22268 40 270426378804 108314 1815 366 101 — — — — — —
201922 A+Daytona Tortugas — 367317 811558 37849 75 256350410760 155319 2310 339 61 — — — — — —
201922 INTLGlendale Desert Dogs — 7160 8113 8212 11 133257333590 200135 3011 266 66 — — — — — —
202124 MLBCincinnati Reds — 631532 14334221 7114123 123 269379459837 190326 2211 372 133 +25 +1 -5 +2 +14 3.7
202225 MLBCincinnati Reds — 431386 9616210 319414 34 249327378705 130305 227 320 98 -1 -1 -7 +2 +9 0.2
202225 AAALouisville Bats — 1512 2000 340 00 167333167500 250 2720 260 25 — — — — — —
202326 MLBCincinnati Reds — 529454 11123017 5210916 142 244343407750 163281 2110 335 108 +5 +2 -4 +2 +11 1.7
202427 MLBCincinnati Reds — 637533 13228215 8012515 132 248361392754 144292 2013 339 112 +9 +2 +2 +2 +14 2.9
202528 MLBKansas City Royals — 567497 1162909 5410613 04 233324346671 113279 1910 306 96 -3 -2 -9 +2 +12 0.1
202629 MLBKansas City Royals — 5848 8102 8132 00 167310312623 146182 2214 293 89 -1 +0 -2 +0 +1 -0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 28532450 606131674 29658883 4215 247348396745 149294 2110 335 113 +45 +2 -25 +10 +62 9.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201821 A MLEDayton Dragons — 112101 17502 8393 50 168250277527 109247 357 237 47 — — — — — —
201821 ROK MLEBillings Mustangs — 7260 10112 9233 11 167306317622 150237 3212 285 79 — — — — — —
201922 AA MLEChattanooga Lookouts — 145117 28203 16338 40 239369333702 94283 2311 318 101 — — — — — —
201922 A+ MLEDaytona Tortugas — 367329 651236 251219 75 198273307580 109278 337 259 61 — — — — — —
202124 MLB MLECincinnati Reds — 631533 14235219 7014123 123 266375447822 180326 2211 364 133 +25 +1 -5 +2 +14 3.7
202225 MLB MLECincinnati Reds — 431387 951629 309414 34 245323367689 121305 227 314 98 -1 -1 -7 +2 +9 0.2
202225 AAA MLELouisville Bats — 1513 2000 250 00 154267154421 238 3313 205 25 — — — — — —
202326 MLB MLECincinnati Reds — 529454 11023016 5210916 142 242341399740 156281 2110 328 108 +5 +2 -4 +2 +11 1.7
202427 MLB MLECincinnati Reds — 637533 13128214 8012515 132 246360385744 139292 2013 333 112 +9 +2 +2 +2 +14 2.9
202528 MLB MLEKansas City Royals — 567497 11829010 5410613 04 237328356684 119279 1910 310 96 -3 -2 -9 +2 +12 0.1
202629 MLB MLEKansas City Royals — 5848 8102 8132 00 167310312623 146182 2214 300 89 -1 +0 -2 +0 +1 -0.1
201821 A MLE2 teams — 184161 28714 17626 61 174277304582 130253 349 256 59 — — — — — —
201821 A RAW2 teams — 184150 36916 28446 61 240380433814 193300 2415 368 59 — — — — — —
201922 A+ MLE3 teams — 583509 10516310 4617519 126 206296308605 102285 308 276 73 — — — — — —
201922 A+ RAW3 teams — 583488 11919614 6713119 126 244357393751 150298 2211 337 73 — — — — — —
202124 MLB MLECincinnati Reds — 631533 14235219 7014123 123 266375447822 180326 2211 364 133 +25 +1 -5 +2 +14 3.7
202124 MLB RAWCincinnati Reds — 631532 14334221 7114123 123 269379459837 190326 2211 372 133 +25 +1 -5 +2 +14 3.7
202225 MLB MLE2 teams — 446400 971629 329914 34 242321360681 117301 227 310 96 -2 -1 -7 +2 +10 0.1
202225 MLB RAW2 teams — 446398 9816210 349814 34 246327372699 126303 228 318 96 -2 -1 -7 +2 +10 0.1
202326 MLB MLECincinnati Reds — 529454 11023016 5210916 142 242341399740 156280 2110 328 108 +5 +2 -4 +2 +11 1.7
202326 MLB RAWCincinnati Reds — 529454 11123017 5210916 142 244343407750 163281 2110 335 108 +5 +2 -4 +2 +11 1.7
202427 MLB MLECincinnati Reds — 637533 13128214 8012515 132 246360385744 139292 2013 333 112 +9 +2 +2 +2 +14 2.9
202427 MLB RAWCincinnati Reds — 637533 13228215 8012515 132 248361392754 144292 2013 339 112 +9 +2 +2 +2 +14 2.9
202528 MLB MLEKansas City Royals — 567497 11829010 5410613 04 237328356684 119282 1910 310 96 -3 -2 -9 +2 +12 0.1
202528 MLB RAWKansas City Royals — 567497 1162909 5410613 04 233324346671 113279 1910 306 96 -3 -2 -9 +2 +12 0.1
202629 MLB MLEKansas City Royals — 5848 8102 8132 00 167310312623 146182 2214 300 89 -1 +0 -2 +0 +1 -0.1
202629 MLB RAWKansas City Royals — 5848 8102 8132 00 167310312623 146182 2214 293 89 -1 +0 -2 +0 +1 -0.1
201821 A MLE2 teams — 184159 28714 17626 61 176277308585 132243 349 256 59 — — — — — —
201922 A+ MLE3 teams — 583513 10516310 4617519 126 205296306602 101279 308 276 73 — — — — — —
202124 MLB MLECincinnati Reds — 631533 14235219 7014123 123 266375447822 180326 2211 364 133 — — — — — —
202225 MLB MLE2 teams — 446397 971629 329914 34 244321363683 118303 227 310 96 — — — — — —
202326 MLB MLECincinnati Reds — 529456 11023016 5210916 142 241341397738 156281 2110 328 108 — — — — — —
202427 MLB MLECincinnati Reds — 637537 13128214 8012515 132 244360382742 138292 2013 333 112 — — — — — —
202528 MLB MLEKansas City Royals — 567495 11829010 5410613 04 238328358686 119279 1910 310 96 — — — — — —
202629 MLB MLEKansas City Royals — 5848 8102 8132 00 167310312623 146182 2214 300 89 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202427 MLB MLECincinnati Reds — 637537 13128214 8012515 132 244360382742 138292 2013 333 112 — — — — — —
202528 MLB MLEKansas City Royals — 567495 11829010 5410613 04 238328358686 119279 1910 310 96 — — — — — —
202629 MLB MLEKansas City Royals — 5848 8102 8132 00 167310312623 146182 2214 300 89 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202730 MLB MLEKC 100% 309265 661417 34597 31 248349389738 141291 1911 333 112 +4 +0 -3 +1 +7 0.5
▸ 2027 — real world (MLB)
202730 MLB CTXKC 100% 129111 27603 14253 10 245346380726 135289 1911 328 112 +2 +0 -1 +0 +3 0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202831 MLB MLEKC 100% 487420 10222111 539511 21 243343378721 134287 2011 327 107 +4 +0 -8 +2 +11 0.9
202932 MLB MLEKC 100% 474410 9821110 519510 10 237336363699 126282 2011 318 101 +1 +0 -8 +2 +10 0.5
203033 MLB MLEKC 100% 383332 751607 40798 10 229327345673 116276 2110 307 94 -3 +0 -8 +1 +8 -0.1
203134 MLB MLEKC 100% 146127 28503 15313 00 219317324640 105267 2110 294 85 -3 +0 -6 +1 +3 -0.5
202831 MLB CTXKC 100% 487420 10122110 539511 21 240340369709 129285 2011 322 107 +4 +0 -8 +2 +11 0.9
202932 MLB CTXKC 100% 474410 952019 519510 10 234334355688 121280 2011 314 101 +1 +0 -8 +2 +10 0.5
203033 MLB CTXKC 100% 383332 751607 40798 10 226325337662 111273 2110 303 94 -3 +0 -8 +1 +8 -0.1
203134 MLB CTXKC 100% 146127 26502 15313 00 216314316631 100265 2110 291 85 -3 +0 -6 +1 +3 -0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 43433739 9031948102 455888115 4616 242342380721 138289 2010 327 101 +44 +3 -55 +16 +94 10.4
/ 162G— A+C — 650560 13529115 6813317 72 241341377718 136288 2010 327 101 +7 +0 -8 +2 +14 1.6
Career— MLE — 52544535 106922512118 5321155143 6523 236335369703 133288 2210 318 101 +46 +3 -56 +16 +97 10.8
/ 162G— MLE — 650561 13228115 6614318 83 235335369704 134287 2210 318 101 +7 +0 -8 +2 +14 1.6

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.

2022 AAALouisville Bats · 15 PAwOBA .255 → .205 (−50)K% 26.7% → 33.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.67%÷0.958×1.200——33.42%
BB% (unintentional) /PA20.00%÷1.023×0.690—×1.01813.73%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP25.00%÷0.996×0.930—×1.01823.77%
Doubles /BIP0.00%÷0.955×0.830—×1.0180.00%
Triples /BIP0.00%÷0.900×0.970—×1.0180.00%
Home runs /BIP0.00%÷1.282×0.700—×1.0180.00%

Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — 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 .255 → .205; ISO .000 → .000; BABIP .250 → .238. 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+Daytona Tortugas · 367 PAwOBA .331 → .259 (−72)K% 22.9% → 33.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.89%÷0.985×1.420——33.00%
BB% (unintentional) /PA9.26%÷1.016×0.750—×0.9986.83%
HBP% /PA2.45%—×0.930—×0.9982.28%
Singles /BIP22.75%÷0.965×0.920×0.950×0.99820.56%
Doubles /BIP6.44%÷1.042×0.960×0.950×0.9985.62%
Triples /BIP2.15%÷1.150×0.810×0.950×0.9981.43%
Home runs /BIP3.43%÷1.101×0.880—×0.9982.74%

Factors used: league row FSL. Park (home-season share, regressed): HR 120, 1B 93, 2B 108, 3B 130, K 97, BB 103 — 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 ×0.950.

Result: wOBA .331 → .259; ISO .155 → .112; BABIP .319 → .278. 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 AAChattanooga Lookouts · 145 PAwOBA .365 → .318 (−47)K% 17.9% → 22.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.93%÷0.967×1.220——22.62%
BB% (unintentional) /PA14.48%÷0.949×0.680—×1.02710.66%
HBP% /PA5.52%—×0.840—×1.0274.76%
Singles /BIP28.24%÷0.974×0.920×0.950×1.02726.01%
Doubles /BIP3.53%÷1.160×0.910×0.950×1.0272.70%
Triples /BIP0.00%÷0.900×0.880×0.950×1.0270.00%
Home runs /BIP3.53%÷0.979×0.800—×1.0272.96%

Factors used: league row SL. Park (home-season share, regressed): HR 96, 1B 95, 2B 132, 3B 80, K 93, BB 90 — 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 .365 → .318; ISO .108 → .094; BABIP .314 → .283. 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 ADayton Dragons · 112 PAwOBA .325 → .237 (−88)K% 25.0% → 34.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷0.987×1.360——34.44%
BB% (unintentional) /PA11.61%÷1.097×0.690——7.30%
HBP% /PA2.68%—×0.780——2.09%
Singles /BIP17.65%÷1.019×0.920×0.954—15.21%
Doubles /BIP10.29%÷0.942×0.830×0.954—8.65%
Triples /BIP0.00%÷0.900×0.910×0.954—0.00%
Home runs /BIP4.41%÷1.103×0.800——3.20%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 88, 3B 80, K 97, BB 119 — 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 ×0.954.

Result: wOBA .325 → .237; ISO .167 → .120; BABIP .292 → .247. 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 ROKBillings Mustangs · 72 PAwOBA .411 → .285 (−126)K% 22.2% → 32.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.22%÷1.000×1.440——32.00%
BB% (unintentional) /PA20.83%÷1.000×0.610—×0.97512.39%
HBP% /PA4.17%—×0.720—×0.9752.92%
Singles /BIP21.05%÷1.000×0.820—×0.97516.83%
Doubles /BIP5.26%÷1.000×0.720—×0.9753.69%
Triples /BIP2.63%÷1.000×0.720—×0.9751.85%
Home runs /BIP7.89%÷1.000×0.750—×0.9755.77%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 .411 → .285; ISO .241 → .174; BABIP .314 → .237. 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 — .