Ronny Cedeno

PosSS
B/TR/R
Born1983-02-02
Age (2027)44
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
201936INTLNavegantes de…155.230/.302/.3413177—
202037INTLLeones del Ca…122.333/.378/.44120129—
202138INTLLeones del Ca…172.275/.339/.3592097—
Contract
No contract data on file.

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)
200522 MLBChicago Cubs — 8980 24301 5112 10 300356375731 75338 126 326 101 +0 +0 -2 +4 +2 0.5
200522 AAAIowa Cubs — 275245 871418 20311 113 355406518924 163380 117 396 130 — — — — — —
200623 MLBChicago Cubs — 572534 1311876 171093 88 245273339612 94296 193 265 62 -26 -2 +2 +6 +12 -0.7
200724 MLBChicago Cubs — 8074 15204 3180 21 203234392626 189208 224 264 65 -3 +0 +3 +4 +2 0.6
200724 AAAIowa Cubs — 327287 10315310 30462 64 359423537960 178401 149 413 132 — — — — — —
200825 MLBChicago Cubs — 236216 581202 18411 41 269328352680 83324 178 308 91 -3 +0 +2 +1 +5 0.6
200926 MLBPittsburgh Pirates — 376341 718310 19793 52 208256337593 129242 215 257 56 -20 +0 +4 +4 +8 -0.3
201027 MLBPittsburgh Pirates — 502468 1202938 231062 123 256294382677 126315 215 296 83 -10 +1 +3 +7 +11 1.2
201027 INTLTigres de Aragua — 158138 36314 1213 41 261282384666 123281 131 266 66 — — — — — —
201128 MLBPittsburgh Pirates — 454413 1032532 30930 25 249300339639 90313 207 282 69 -17 -2 +10 +6 +10 0.8
201128 AAAIndianapolis Indians — 1615 4110 150 00 267312467779 200400 316 338 74 — — — — — —
201128 INTLTigres de Aragua — 114102 25411 5212 00 245294333627 88293 184 272 70 — — — — — —
201229 MLBNew York Mets — 186166 431114 17351 01 259332410741 151307 199 328 114 +3 -0 +1 +3 +4 1.1
201229 AAABuffalo Bisons — 3029 5000 160 00 172200172372 217 203 174 -16 — — — — — —
201229 INTLTigres de Aragua — 8982 22202 6140 01 268318366684 98303 167 306 93 — — — — — —
201330 MLBSan Diego Padres — 288264 64833 14733 54 242288330618 87323 255 273 72 -10 -1 -4 +5 +6 -0.3
201330 INTLTigres de Aragua — 161136 41511 16206 30 301399375774 74348 1210 351 123 — — — — — —
201431 AAAReno Aces — 312281 881724 23482 64 313369431800 117365 157 352 68 — — — — — —
201431 INTLNavegantes del Magallanes — 242208 59623 24413 22 284366375741 91337 1710 329 109 — — — — — —
201532 AAAGuerreros de Oaxaca — 308276 691804 17483 20 250301359659 109288 166 286 35 — — — — — —
201532 INTLNavegantes del Magallanes — 233210 56814 16304 20 267330371702 105295 137 314 99 — — — — — —
201633 INTLVenezuela — 269256 831544 6421 30 324342461803 137371 162 347 121 — — — — — —
201734 INTLNavegantes del Magallanes — 248220 721422 20251 70 327386436822 109355 108 359 129 — — — — — —
201835 INTLNavegantes del Magallanes — 235211 651115 13383 10 308357441798 133351 166 344 119 — — — — — —
201936 INTLNavegantes del Magallanes — 155135 31603 13371 10 230302341643 111289 248 282 77 — — — — — —
202037 INTLLeones del Caracas — 122111 37602 5133 00 333378441820 108361 114 359 129 — — — — — —
202138 INTLLeones del Caracas — 172153 42702 15380 01 275339359699 85351 229 311 97 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 27832556 6291162040 14656515 3925 246291354645 108300 205 283 78 -74 -2 +19 +41 +60 4.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200522 MLB MLEChicago Cubs — 8981 24301 4112 10 296345370715 74338 124 318 101 +0 +0 -2 +4 +2 0.5
200522 AAA MLEIowa Cubs — 275252 861317 13401 113 341376484860 143363 155 361 130 — — — — — —
200623 MLB MLEChicago Cubs — 572538 1311876 131093 88 243265336602 93296 192 260 62 -26 -2 +2 +6 +12 -0.7
200724 MLB MLEChicago Cubs — 8074 15204 3180 21 203234392626 189208 224 264 65 -3 +0 +3 +4 +2 0.6
200724 AAA MLEIowa Cubs — 327297 981338 20592 64 330376475851 145376 186 364 132 — — — — — —
200825 MLB MLEChicago Cubs — 236218 581202 16411 41 266319349668 83324 177 302 91 -3 +0 +2 +1 +5 0.6
200926 MLB MLEPittsburgh Pirates — 376344 718310 16793 52 206248334582 128242 214 251 56 -20 +0 +4 +4 +8 -0.3
201027 MLB MLEPittsburgh Pirates — 502472 1202839 191062 123 254286383669 129315 214 291 83 -10 +1 +3 +7 +11 1.2
201128 MLB MLEPittsburgh Pirates — 454420 1022432 23930 25 243282329611 86313 205 270 69 -17 -2 +10 +6 +10 0.8
201128 AAA MLEIndianapolis Indians — 1615 4110 160 00 267312467779 200370 386 277 74 — — — — — —
201229 MLB MLENew York Mets — 186166 451214 17351 01 271342428770 157307 199 337 114 +3 -0 +1 +3 +4 1.1
201229 AAA MLEBuffalo Bisons — 3029 4000 170 00 138167138305 200 233 145 -16 — — — — — —
201330 MLB MLESan Diego Padres — 288265 65933 13733 54 245288336624 91323 255 274 72 -10 -1 -4 +5 +6 -0.3
201431 AAA MLEReno Aces — 312290 721313 14642 64 248288331619 83303 214 269 68 — — — — — —
201532 AAA MLEGuerreros de Oaxaca — 308283 581402 10603 20 205240276515 71236 193 220 35 — — — — — —
200522 AAA MLE2 teams — 364333 1101618 17513 123 330368456825 126370 145 350 123 — — — — — —
200522 AAA RAW2 teams — 364325 1111719 25423 123 342394483877 142370 127 379 123 — — — — — —
200623 MLB MLEChicago Cubs — 572538 1311876 131093 88 243265336602 93293 192 260 62 -26 -2 +2 +6 +12 -0.7
200623 MLB RAWChicago Cubs — 572534 1311876 171093 88 245273339612 94296 193 265 62 -26 -2 +2 +6 +12 -0.7
200724 AAA MLE2 teams — 407371 11315312 23772 85 305348458807 154356 196 344 119 — — — — — —
200724 AAA RAW2 teams — 407361 11817314 33642 85 327386507893 180365 168 384 119 — — — — — —
200825 MLB MLEChicago Cubs — 236218 581202 16411 41 266319349668 83320 177 302 91 -3 +0 +2 +1 +5 0.6
200825 MLB RAWChicago Cubs — 236216 581202 18411 41 269328352680 83324 178 308 91 -3 +0 +2 +1 +5 0.6
200926 MLB MLEPittsburgh Pirates — 376344 718310 16793 52 206248334582 128239 214 251 56 -20 +0 +4 +4 +8 -0.3
200926 MLB RAWPittsburgh Pirates — 376341 718310 19793 52 208256337593 129242 215 257 56 -20 +0 +4 +4 +8 -0.3
201027 MLB MLE2 teams — 660605 15837411 251395 164 261296390686 129321 214 291 83 -13 +2 +3 +7 +14 1.3
201027 MLB RAW2 teams — 660606 15632412 241275 164 257291383674 125306 194 289 83 -13 +2 +3 +7 +14 1.3
201128 MLB MLE3 teams — 584537 1323153 291232 25 246287339626 93309 215 270 69 -22 -2 +10 +6 +13 0.6
201128 MLB RAW3 teams — 584530 1323053 361192 25 249299342641 92311 206 282 69 -22 -2 +10 +6 +13 0.6
201229 MLB MLE3 teams — 305276 681616 25601 02 246311377688 130295 208 310 96 -1 -1 +1 +3 +7 0.8
201229 MLB RAW3 teams — 305277 701316 24551 02 253315372686 119296 188 307 96 -1 -1 +1 +3 +7 0.8
201330 MLB MLE2 teams — 449410 1021355 201149 84 249298341640 93332 254 274 72 -15 +0 -4 +5 +10 -0.4
201330 MLB RAW2 teams — 449400 1051344 30939 84 263328345673 82332 217 301 72 -15 +0 -4 +5 +10 -0.4
201431 AAA MLE2 teams — 554511 1282325 251145 86 250292333625 82311 215 269 68 — — — — — —
201431 AAA RAW2 teams — 554489 1472347 47895 86 301368407775 106354 168 342 68 — — — — — —
201532 AAA MLE2 teams — 541502 1022404 171057 40 203240275514 72248 193 220 35 — — — — — —
201532 AAA RAW2 teams — 541486 1252618 33787 40 257314364678 107291 146 298 35 — — — — — —
201633 INTL MLEVenezuela — 269256 831544 6421 30 324342461803 137371 162 — — — — — — — —
201633 INTL RAWVenezuela — 269256 831544 6421 30 324342461803 137371 162 347 121 — — — — — —
201734 INTL MLENavegantes del Magallanes — 248220 721422 20251 70 327386436822 109355 108 — — — — — — — —
201734 INTL RAWNavegantes del Magallanes — 248220 721422 20251 70 327386436822 109355 108 359 129 — — — — — —
201835 INTL MLENavegantes del Magallanes — 235211 651115 13383 10 308357441798 133351 166 — — — — — — — —
201835 INTL RAWNavegantes del Magallanes — 235211 651115 13383 10 308357441798 133351 166 344 119 — — — — — —
201936 INTL MLENavegantes del Magallanes — 155135 31603 13371 10 230302341643 111289 248 — — — — — — — —
201936 INTL RAWNavegantes del Magallanes — 155135 31603 13371 10 230302341643 111289 248 282 77 — — — — — —
202037 INTL MLELeones del Caracas — 122111 37602 5133 00 333378441820 108361 114 — — — — — — — —
202037 INTL RAWLeones del Caracas — 122111 37602 5133 00 333378441820 108361 114 359 129 — — — — — —
202138 INTL MLELeones del Caracas — 172153 42702 15380 01 275339359699 85351 229 — — — — — — — —
202138 INTL RAWLeones del Caracas — 172153 42702 15380 01 275339359699 85351 229 311 97 — — — — — —
200522 AAA MLE2 teams — 364341 1101618 17513 123 323368446814 123357 145 350 123 — — — — — —
200623 MLB MLEChicago Cubs — 572551 1311876 131093 88 238265328594 91296 192 260 62 — — — — — —
200724 AAA MLE2 teams — 407379 11315312 23772 85 298348449797 150343 196 344 119 — — — — — —
200825 MLB MLEChicago Cubs — 236217 581202 16411 41 267319350669 83324 177 302 91 — — — — — —
200926 MLB MLEPittsburgh Pirates — 376354 718310 16793 52 201248325573 124242 214 251 56 — — — — — —
201027 MLB MLE2 teams — 660625 15837411 251395 164 253296378674 125315 214 291 83 — — — — — —
201128 MLB MLE3 teams — 584548 1323153 291232 25 241287332619 91315 215 270 69 — — — — — —
201229 MLB MLE3 teams — 305276 681616 25601 02 246311377688 130292 208 310 96 — — — — — —
201330 MLB MLE2 teams — 449417 1021355 201149 84 245298336634 91323 254 274 72 — — — — — —
201431 AAA MLE2 teams — 554519 1282325 251145 86 247292328620 81303 215 269 68 — — — — — —
201532 AAA MLE2 teams — 541512 1022404 171057 40 199240270509 70236 193 220 35 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 27832556 6291162040 14656515 3925 246291354645 108300 205 283 40 -74 -2 +19 +41 +60 4.4
/ 162G— A+C — 650597 1472759 341324 96 246292353645 107301 205 283 40 -17 -1 +4 +9 +14 1.0
Career— MLE — 62495731 15032723890 298120550 8741 262304370675 108316 195 227 40 -74 -2 +19 +41 +60 4.4
/ 162G— MLE — 650596 1562849 311255 94 262304367671 106315 195 227 40 -17 -1 +4 +9 +14 1.0

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.

2015 AAAGuerreros de Oaxaca · 308 PAwOBA .277 → .220 (−57)K% 15.6% → 19.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.58%÷0.966×1.200——19.36%
BB% (unintentional) /PA4.87%÷1.029×0.690—×0.9523.11%
HBP% /PA0.97%—×0.940—×0.9520.87%
Singles /BIP20.61%÷1.059×0.930×1.034×0.95217.82%
Doubles /BIP7.89%÷1.117×0.830×1.034×0.9525.78%
Triples /BIP0.00%÷1.017×0.920×1.034×0.9520.00%
Home runs /BIP1.75%÷1.244×0.700—×0.9520.94%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 149, 1B 112, 2B 123, 3B 103, K 93, BB 106 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .277 → .220; ISO .109 → .074; BABIP .288 → .236. 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).

2014 AAAReno Aces · 312 PAwOBA .342 → .269 (−73)K% 15.4% → 20.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.38%÷0.965×1.290——20.57%
BB% (unintentional) /PA7.05%÷1.049×0.710—×0.9624.59%
HBP% /PA0.64%—×0.980—×0.9620.60%
Singles /BIP27.90%÷1.047×0.900×1.033×0.96223.83%
Doubles /BIP7.30%÷1.047×0.810×1.033×0.9625.61%
Triples /BIP0.86%÷1.150×0.810×1.033×0.9620.60%
Home runs /BIP1.72%÷1.116×0.780—×0.9621.15%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 109, 2B 109, 3B 130, K 93, BB 110 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .342 → .269; ISO .117 → .085; BABIP .365 → .303. 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 AAABuffalo Bisons · 30 PAwOBA .170 → .145 (−25)K% 20.0% → 24.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷0.989×1.200——24.27%
BB% (unintentional) /PA3.33%÷1.002×0.690—×0.9822.25%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP21.74%÷0.992×0.930—×0.98220.01%
Doubles /BIP0.00%÷0.963×0.830—×0.9820.00%
Triples /BIP0.00%÷1.002×0.970—×0.9820.00%
Home runs /BIP0.00%÷0.901×0.840—×0.9820.00%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 98, 2B 93, 3B 100, K 98, BB 100 — 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 .170 → .145; ISO .000 → .000; BABIP .217 → .200. 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 AAAIndianapolis Indians · 16 PAwOBA .329 → .277 (−52)K% 31.2% → 37.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.25%÷0.995×1.200——37.67%
BB% (unintentional) /PA6.25%÷0.978×0.690—×0.9924.37%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP20.00%÷1.008×0.930—×0.99218.30%
Doubles /BIP10.00%÷0.927×0.830—×0.9928.89%
Triples /BIP10.00%÷0.984×0.970—×0.9929.78%
Home runs /BIP0.00%÷0.955×0.840—×0.9920.00%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 102, 2B 85, 3B 97, K 99, BB 96 — 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).

Result: wOBA .329 → .277; ISO .200 → .176; BABIP .400 → .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).

2007 AAAIowa Cubs · 327 PAwOBA .401 → .364 (−37)K% 14.1% → 18.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.07%÷1.000×1.290——18.15%
BB% (unintentional) /PA8.26%÷1.000×0.710—×1.0486.14%
HBP% /PA0.61%—×0.980—×1.0480.63%
Singles /BIP31.12%÷1.000×0.900×1.023×1.04830.03%
Doubles /BIP6.22%÷1.000×0.810×1.023×1.0485.41%
Triples /BIP1.24%÷1.000×0.810×1.023×1.0481.08%
Home runs /BIP4.15%÷1.000×0.780—×1.0483.39%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.023.

Result: wOBA .401 → .364; ISO .178 → .152; BABIP .401 → .376. 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).

2005 AAAIowa Cubs · 275 PAwOBA .386 → .361 (−25)K% 11.3% → 14.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.27%÷1.000×1.290——14.54%
BB% (unintentional) /PA6.55%÷1.000×0.710—×1.0504.88%
HBP% /PA0.36%—×0.980—×1.0500.37%
Singles /BIP29.91%÷1.000×0.900×1.038×1.05029.33%
Doubles /BIP6.54%÷1.000×0.810×1.038×1.0505.78%
Triples /BIP0.47%÷1.000×0.810×1.038×1.0500.41%
Home runs /BIP3.74%÷1.000×0.780—×1.0503.06%

Factors used: league row PCL. 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 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 ×1.038.

Result: wOBA .386 → .361; ISO .163 → .142; BABIP .380 → .363. 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 — .