Leonys Martin

PosCF
B/TL/R
Born1988-03-06
Age (2027)39
No MLB projection yet. Career stats below are historical.
Overview
INTL
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
201931MLBCleveland Ind…264.199/.276/.3439474-0.2
202436INTLTigres del Li…201.202/.343/.423812117—
202537INTLCaneros de lo…179.243/.358/.513115146—
202638No MLB games played
Last 3 seasons WAR -0.2
Contract
No contract data on file.
Skills · percentileStatcast 2017-2019
xwOBA49
Barrel%48
Speed43
Avg EV36

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)
201123 AAARound Rock Express — 192175 46710 11243 92 263317314632 51303 126 286 55 — — — — — —
201123 AAFrisco RoughRiders — 135112 39924 1583 108 3484385711.010 223347 611 426 154 — — — — — —
201123 ROKAZL Rangers — 1615 4020 160 01 267312533846 267444 386 359 17 — — — — — —
201123 INTLSurprise Saguaros — 3631 9211 451 41 290389516905 226320 1411 398 155 — — — — — —
201224 MLBTexas Rangers — 5246 8520 4120 30 174240370610 196229 238 257 50 -3 +1 -1 +2 +1 -0.1
201224 AAARound Rock Express — 260231 8318212 24392 109 3594246101.035 251392 159 445 150 — — — — — —
201224 INTLTigres del Licey — 168146 37514 16291 84 253331384715 130287 1710 314 98 — — — — — —
201325 MLBTexas Rangers — 508457 1192168 281048 369 260314385700 125319 206 305 86 -8 +4 +11 +2 +11 2.0
201325 INTLTigres del Licey — 5953 9201 591 41 170254264518 94186 158 242 50 — — — — — —
201426 MLBTexas Rangers — 583533 1461377 391142 3112 274326364690 90336 207 307 86 -10 +1 +14 +2 +13 2.0
201527 MLBTexas Rangers — 310288 631205 16692 145 219265312577 94270 225 258 54 -17 +1 +11 +1 +7 0.3
201527 AAARound Rock Express — 4337 11302 540 21 297381541921 243281 912 394 99 — — — — — —
201628 MLBSeattle Mariners — 576518 12817315 441493 246 247310378688 131313 268 304 94 -4 +2 +11 +2 +12 2.4
201729 MLBChicago Cubs — 138128 22313 8332 74 172232281513 109207 246 234 41 -10 -0 +4 +2 +3 -0.1
201729 AAATacoma Rainiers — 388360 11024511 21893 256 306348492840 186376 235 366 84 — — — — — —
201830 MLBCleveland Indians — 353318 8115311 30773 74 255325425749 170302 228 332 110 +4 -0 +1 +1 +8 1.5
201931 MLBCleveland Indians — 264236 47709 21784 45 199276343619 144255 308 278 74 -8 -1 +1 +1 +6 -0.2
202436 INTLTigres del Licey — 201163 33828 26469 120 202343423767 221225 2313 341 117 — — — — — —
202537 INTLCaneros de los Mochis — 179152 378011 18469 51 243358513871 270274 2610 383 146 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 27842524 614932258 19063624 12645 243302366669 123301 237 296 87 -44 +7 +52 +13 +60 9.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201123 AAA MLERound Rock Express — 192178 42610 8323 92 236280281561 45280 174 249 55 — — — — — —
201123 AA MLEFrisco RoughRiders — 135117 40923 10103 108 342408530938 188338 77 396 154 — — — — — —
201123 ROK MLEAZL Rangers — 1615 2010 190 01 133188267454 133330 566 194 17 — — — — — —
201224 MLB MLETexas Rangers — 5246 8520 4120 30 174240370610 196229 238 242 50 -3 +1 -1 +2 +1 -0.1
201224 AAA MLERound Rock Express — 260240 7616111 15482 109 317362529891 213357 186 390 150 — — — — — —
201325 MLB MLETexas Rangers — 508457 1182068 281048 369 258312381693 123319 206 295 86 -8 +4 +11 +2 +11 2.0
201426 MLB MLETexas Rangers — 583536 1441277 361142 3112 269317356673 88336 206 295 86 -10 +1 +14 +2 +13 2.0
201527 MLB MLETexas Rangers — 310289 621105 15692 145 215258304563 90270 225 248 54 -17 +1 +11 +1 +7 0.3
201527 AAA MLERound Rock Express — 4338 9201 450 21 237310368678 132237 129 315 99 — — — — — —
201628 MLB MLESeattle Mariners — 576518 12817315 441493 246 247310378688 131313 268 307 94 -4 +2 +11 +2 +12 2.4
201729 MLB MLEChicago Cubs — 138129 22313 7332 74 171225279504 109207 245 228 41 -10 -0 +4 +2 +3 -0.1
201729 AAA MLETacoma Rainiers — 388368 921948 141123 256 250283389672 139332 294 293 84 — — — — — —
201830 MLB MLECleveland Indians — 353319 8215411 29773 74 257325433757 176302 228 331 110 +4 -0 +1 +1 +8 1.5
201931 MLB MLECleveland Indians — 264236 47709 21784 45 199276343619 144255 308 277 74 -8 -1 +1 +1 +6 -0.2
201123 AAA MLE4 teams — 379343 931743 21557 2312 271326370696 99314 156 304 92 — — — — — —
201123 AAA RAW4 teams — 379333 981865 31437 2312 294367429796 135324 118 349 92 — — — — — —
201224 AAA MLE3 teams — 480437 12932517 30923 2113 295345508853 213337 196 365 133 — — — — — —
201224 AAA RAW3 teams — 480423 12828516 44803 2113 303372506878 203338 179 379 133 — — — — — —
201325 MLB MLE2 teams — 567512 1302269 311169 4010 254308373681 119310 205 295 86 -9 +4 +11 +2 +12 2.1
201325 MLB RAW2 teams — 567510 1282369 331139 4010 251308373681 122304 206 298 86 -9 +4 +11 +2 +12 2.1
201426 MLB MLETexas Rangers — 583536 1441277 361142 3112 269317356673 88329 206 295 86 -10 +1 +14 +2 +13 2.0
201426 MLB RAWTexas Rangers — 583533 1461377 391142 3112 274326364690 90336 207 307 86 -10 +1 +14 +2 +13 2.0
201527 MLB MLE2 teams — 353327 711406 19742 166 217264315579 98261 215 256 60 -17 +1 +11 +1 +8 0.4
201527 MLB RAW2 teams — 353325 741507 21732 166 228279338617 111271 216 275 60 -17 +1 +11 +1 +8 0.4
201628 MLB MLESeattle Mariners — 576518 12817315 441493 246 247310378688 131313 268 307 94 -4 +2 +11 +2 +12 2.4
201628 MLB RAWSeattle Mariners — 576518 12817315 441493 246 247310378688 131313 268 304 94 -4 +2 +11 +2 +12 2.4
201729 AAA MLE2 teams — 526497 11422511 211455 3210 229268360628 131299 284 276 73 — — — — — —
201729 AAA RAW2 teams — 526488 13227614 291225 3210 270317436754 166332 236 331 73 — — — — — —
201830 MLB MLECleveland Indians — 353319 8215411 29773 74 257325433757 176305 228 331 110 +4 -0 +1 +1 +8 1.5
201830 MLB RAWCleveland Indians — 353318 8115311 30773 74 255325425749 170302 228 332 110 +4 -0 +1 +1 +8 1.5
201931 MLB MLECleveland Indians — 264236 47709 21784 45 199276343619 144255 308 277 74 -8 -1 +1 +1 +6 -0.2
201931 MLB RAWCleveland Indians — 264236 47709 21784 45 199276343619 144255 308 278 74 -8 -1 +1 +1 +6 -0.2
202436 INTL MLETigres del Licey — 201163 33828 26469 120 202343423767 221225 2313 — — — — — — — —
202436 INTL RAWTigres del Licey — 201163 33828 26469 120 202343423767 221225 2313 341 117 — — — — — —
202537 INTL MLECaneros de los Mochis — 179152 378011 18469 51 243358513871 270274 2610 — — — — — — — —
202537 INTL RAWCaneros de los Mochis — 179152 378011 18469 51 243358513871 270274 2610 383 146 — — — — — —
201123 AAA MLE4 teams — 379348 931743 21557 2312 267326365691 98305 156 304 92 — — — — — —
201224 AAA MLE3 teams — 480444 12932517 30923 2113 291345500845 209336 196 365 133 — — — — — —
201325 MLB MLE2 teams — 567522 1302269 311169 4010 249308366674 117319 205 295 86 — — — — — —
201426 MLB MLETexas Rangers — 583540 1441277 361142 3112 267317354671 87336 206 295 86 — — — — — —
201527 MLB MLE2 teams — 353329 711406 19742 166 216264313577 97266 215 256 60 — — — — — —
201628 MLB MLESeattle Mariners — 576524 12817315 441493 246 244310374684 130313 268 307 94 — — — — — —
201729 AAA MLE2 teams — 526495 11422511 211455 3210 230268362629 131299 284 276 73 — — — — — —
201830 MLB MLECleveland Indians — 353318 8215411 29773 74 258325434759 176302 228 331 110 — — — — — —
201931 MLB MLECleveland Indians — 264237 47709 21784 45 198276342618 143255 308 277 74 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 27842524 614932258 19063624 12645 243302366669 123301 237 296 73 -44 +7 +52 +13 +60 9.0
/ 162G— A+C — 650589 14422514 441486 2911 244304370674 126302 237 296 73 -10 +2 +12 +3 +14 2.1
Career— MLE — 44614040 100817436107 29699256 21579 250310390700 140304 227 276 73 -44 +7 +52 +13 +60 9.0
/ 162G— MLE — 650589 14725516 431458 3112 250309390700 141303 227 276 73 -10 +2 +12 +3 +14 2.1

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.

2017 AAATacoma Rainiers · 388 PAwOBA .358 → .293 (−64)K% 22.9% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.94%÷1.028×1.290——28.77%
BB% (unintentional) /PA5.15%÷0.979×0.710—×0.9823.67%
HBP% /PA0.77%—×0.980—×0.9820.74%
Singles /BIP25.83%÷0.978×0.900×1.013×0.98223.64%
Doubles /BIP8.86%÷0.988×0.810×1.013×0.9827.22%
Triples /BIP1.85%÷0.900×0.810×1.013×0.9821.65%
Home runs /BIP4.06%÷0.963×0.780—×0.9823.23%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 98, 3B 80, K 106, BB 96 — 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 ×1.013.

Result: wOBA .358 → .293; ISO .186 → .146; BABIP .376 → .332. 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).

2015 AAARound Rock Express · 43 PAwOBA .392 → .315 (−77)K% 9.3% → 11.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.30%÷1.031×1.290——11.64%
BB% (unintentional) /PA11.63%÷1.014×0.710—×1.0038.17%
HBP% /PA0.00%—×0.980—×1.0030.00%
Singles /BIP18.18%÷1.007×0.900—×1.00316.31%
Doubles /BIP9.09%÷1.029×0.810—×1.0037.18%
Triples /BIP0.00%÷0.900×0.810—×1.0030.00%
Home runs /BIP6.06%÷1.184×0.780—×1.0034.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 137, 1B 101, 2B 106, 3B 80, K 106, 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 .392 → .315; ISO .243 → .179; BABIP .281 → .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).

2012 AAARound Rock Express · 260 PAwOBA .430 → .390 (−40)K% 15.0% → 18.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.00%÷1.046×1.290——18.50%
BB% (unintentional) /PA7.69%÷0.963×0.710—×1.0485.94%
HBP% /PA0.77%—×0.980—×1.0480.79%
Singles /BIP26.56%÷0.997×0.900×0.979×1.04824.62%
Doubles /BIP9.38%÷0.925×0.810×0.979×1.0488.43%
Triples /BIP1.04%÷1.150×0.810×0.979×1.0480.75%
Home runs /BIP6.25%÷0.883×0.780—×1.0485.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 99, 2B 85, 3B 130, K 109, BB 93 — 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 ×0.979.

Result: wOBA .430 → .390; ISO .251 → .230; BABIP .392 → .357. 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).

2011 AAARound Rock Express · 192 PAwOBA .280 → .249 (−31)K% 12.5% → 16.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.50%÷0.976×1.290——16.52%
BB% (unintentional) /PA5.73%÷1.004×0.710—×1.0504.25%
HBP% /PA1.56%—×0.980—×1.0501.61%
Singles /BIP25.17%÷1.002×0.900×0.995×1.05023.62%
Doubles /BIP4.64%÷0.970×0.810×0.995×1.0504.05%
Triples /BIP0.66%÷1.150×0.810×0.995×1.0500.49%
Home runs /BIP0.00%÷1.087×0.780—×1.0500.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 100, 2B 94, 3B 130, K 95, BB 101 — 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 ×0.995.

Result: wOBA .280 → .249; ISO .051 → .043; BABIP .303 → .280. 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).

2011 AAFrisco RoughRiders · 135 PAwOBA .416 → .396 (−19)K% 5.9% → 7.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA5.93%÷0.993×1.220——7.28%
BB% (unintentional) /PA10.37%÷0.987×0.700—×1.0277.55%
HBP% /PA2.22%—×0.870—×1.0271.99%
Singles /BIP23.08%÷0.987×0.920×1.050×1.02723.21%
Doubles /BIP8.65%÷0.968×0.840×1.050×1.0278.09%
Triples /BIP1.92%÷1.067×0.940×1.050×1.0271.83%
Home runs /BIP3.85%÷1.132×0.800—×1.0272.79%

Factors used: league row TL. Park (home-season share, regressed): HR 126, 1B 97, 2B 94, 3B 113, K 99, BB 97 — 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 ×1.050.

Result: wOBA .416 → .396; ISO .223 → .202; BABIP .347 → .338. 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).

2011 ROKAZL Rangers · 16 PAwOBA .349 → .194 (−156)K% 37.5% → 54.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA37.50%÷1.000×1.440——54.00%
BB% (unintentional) /PA6.25%÷1.000×0.620—×0.9653.74%
HBP% /PA0.00%—×0.720—×0.9650.00%
Singles /BIP22.22%÷1.000×0.820—×0.96517.58%
Doubles /BIP0.00%÷1.000×0.720—×0.9650.00%
Triples /BIP22.22%÷1.000×0.720—×0.96515.44%
Home runs /BIP0.00%÷1.000×0.780—×0.9650.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). 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 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .349 → .194; ISO .267 → .139; BABIP .444 → .330. 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 — .