Roger Bernadina

PosLF
B/TL/L
Born1984-06-12
Age (2027)43
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201935AAA/INTL2 orgs317.292/.370/.4267295—.271/.317/.376
202238INTLCuracao19.278/.316/.3330086—
202339INTLCuracao33.379/.455/.48300170—
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)
200521 ASavannah Sand Gnats — 505417 9715312 75927 358 233359369728 137268 1815 331 63 — — — — — —
200622 A+Potomac Nationals — 504434 1171936 56984 2811 270358369727 99332 1911 326 71 — — — — — —
200723 AAAColumbus Clippers — 5342 7300 9111 01 167327238565 71226 2117 273 42 — — — — — —
200723 AAHarrisburg Senators — 415371 1001526 38802 4013 270341369710 100329 199 320 82 — — — — — —
200824 MLBWashington Nationals — 8676 16110 9210 43 211294250544 39291 2410 254 58 -4 -0 -2 +2 +2 -0.2
200824 AAAColumbus Clippers — 215191 671334 16371 152 351404513917 162420 177 392 137 — — — — — —
200824 AAHarrisburg Senators — 303266 861175 31642 269 323398474872 150411 2110 383 120 — — — — — —
200925 AAASyracuse Chiefs — 2318 3000 450 10 167318167485 231 2217 239 26 — — — — — —
201026 MLBWashington Nationals — 461414 10218311 35934 162 246311384695 138288 208 307 94 -3 +2 -8 -6 +10 -0.6
201026 AAASyracuse Chiefs — 6961 23212 650 72 377433541974 164382 79 418 145 — — — — — —
201026 INTLNavegantes del Magallanes — 3024 5100 471 10 208345250595 42278 2313 281 76 — — — — — —
201127 MLBWashington Nationals — 337309 751227 22634 173 243301362664 120285 197 298 87 -5 +2 -1 +2 +7 0.5
201127 AAASyracuse Chiefs — 188164 41906 18474 145 250339415753 165315 2510 335 74 — — — — — —
201228 MLBWashington Nationals — 261227 661105 28532 153 291374405779 115359 2011 348 116 +5 +2 +0 +1 +6 1.4
201329 MLBPhiladelphia Phillies — 250227 411024 16655 40 181250295545 115234 266 247 51 -15 +1 +0 -3 +5 -1.1
201430 MLBLos Angeles Dodgers — 8066 11301 10193 21 167304258561 91217 2412 268 72 -3 +0 -1 -2 +2 -0.4
201430 AAAAlbuquerque Isotopes — 7157 14220 12231 20 246386351737 105400 3217 337 50 — — — — — —
201430 INTLTiburones de La Guaira — 2518 2100 551 10 111333167500 56154 2020 257 60 — — — — — —
201531 AAAAlbuquerque Isotopes — 447373 10318415 581217 206 276384466850 190370 2713 372 69 — — — — — —
201531 INTLYaquis de Obregon — 11296 18212 12242 41 188291292583 104225 2111 267 67 — — — — — —
201632 AAALas Vegas 51s — 446387 11329410 48935 205 292377465842 173360 2111 370 72 — — — — — —
201935 AAAAlgodoneros Union Laguna — 142128 43704 13251 12 336401484886 148394 189 395 88 — — — — — —
201935 INTLAlgodoneros de Guasave — 175149 38713 19341 11 255343376719 121307 1911 316 100 — — — — — —
202238 INTLCuracao — 1918 5100 120 01 278316333649 56312 115 295 86 — — — — — —
202339 INTLCuracao — 3329 11110 430 01 379455483937 103423 912 419 170 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 14751319 31155828 12031418 5812 236308353661 118288 218 297 87 -23 +7 -12 -6 +32 -0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200521 A MLESavannah Sand Gnats — 505442 8612310 501237 358 195287303590 109236 2410 262 63 — — — — — —
200622 A+ MLEPotomac Nationals — 504455 1081625 351394 2811 237298314612 77319 287 273 71 — — — — — —
200723 AAA MLEColumbus Clippers — 5344 7300 7131 01 159288227516 68210 2513 230 42 — — — — — —
200723 AA MLEHarrisburg Senators — 415382 1011425 27982 4013 264316351667 86336 247 290 82 — — — — — —
200824 MLB MLEWashington Nationals — 8676 16110 9210 43 211294250544 39291 2410 254 58 -4 -0 -2 +2 +2 -0.2
200824 AAA MLEColumbus Clippers — 215195 681234 12451 152 349389503892 154420 216 371 137 — — — — — —
200824 AA MLEHarrisburg Senators — 303275 861074 22782 269 313368444812 131414 267 346 120 — — — — — —
200925 AAA MLESyracuse Chiefs — 2319 3000 360 10 158273158431 222 2613 206 26 — — — — — —
201026 MLB MLEWashington Nationals — 461415 10318411 34934 162 248311390702 142288 207 307 94 -3 +2 -8 -6 +10 -0.6
201026 AAA MLESyracuse Chiefs — 6963 23212 460 72 365403524927 159359 96 382 145 — — — — — —
201127 MLB MLEWashington Nationals — 337310 751227 21634 173 242299361660 119285 196 297 87 -5 +2 -1 +2 +7 0.5
201127 AAA MLESyracuse Chiefs — 188170 36705 12574 145 212280341621 129286 306 278 74 — — — — — —
201228 MLB MLEWashington Nationals — 261230 661105 25532 153 287362400762 113359 2010 339 116 +5 +2 +0 +1 +6 1.4
201329 MLB MLEPhiladelphia Phillies — 250228 411024 15655 40 180246294540 114234 266 243 51 -15 +1 +0 -3 +5 -1.1
201430 MLB MLELos Angeles Dodgers — 8066 11301 10193 21 167304258561 91217 2412 274 72 -3 +0 -1 -2 +2 -0.4
201430 AAA MLEAlbuquerque Isotopes — 7161 10110 8311 20 164271213485 49332 4411 242 50 — — — — — —
201531 AAA MLEAlbuquerque Isotopes — 447396 8213310 351637 206 207283331614 124310 368 270 69 — — — — — —
201632 AAA MLELas Vegas 51s — 446402 902037 331245 205 224291341632 117294 287 274 72 — — — — — —
201935 AAA MLEAlgodoneros Union Laguna — 142133 36503 8311 12 271317376693 105334 226 299 88 — — — — — —
200521 A MLESavannah Sand Gnats — 505442 8612310 501237 358 195287303590 109243 2410 262 63 — — — — — —
200521 A RAWSavannah Sand Gnats — 505417 9715312 75927 358 233359369728 137268 1815 331 63 — — — — — —
200622 A+ MLEPotomac Nationals — 504455 1081625 351394 2811 237298314612 77327 287 273 71 — — — — — —
200622 A+ RAWPotomac Nationals — 504434 1171936 56984 2811 270358369727 99332 1911 326 71 — — — — — —
200723 AA MLE2 teams — 468426 1081725 341113 4014 254313338651 85331 247 283 78 — — — — — —
200723 AA RAW2 teams — 468413 1071826 47913 4014 259339356695 97319 1910 314 78 — — — — — —
200824 AA MLE3 teams — 604547 17023118 421443 4514 311363437800 126410 247 342 117 — — — — — —
200824 AA RAW3 teams — 604533 16925119 561223 4514 317385456841 139398 209 368 117 — — — — — —
200925 AAA MLESyracuse Chiefs — 2319 3000 360 10 158273158431 231 2613 206 26 — — — — — —
200925 AAA RAWSyracuse Chiefs — 2318 3000 450 10 167318167485 231 2217 239 26 — — — — — —
201026 MLB MLE3 teams — 560504 13221513 401055 244 262322401723 139302 197 317 100 +0 +3 -8 -6 +12 0.1
201026 MLB RAW3 teams — 560499 13021413 451055 244 261328397725 136301 198 319 100 +0 +3 -8 -6 +12 0.1
201127 MLB MLE2 teams — 525480 11119212 331208 318 231292354646 123284 236 290 83 -11 +3 -1 +2 +11 0.4
201127 MLB RAW2 teams — 525473 11621213 401108 318 245315381695 135294 218 311 83 -11 +3 -1 +2 +11 0.4
201228 MLB MLEWashington Nationals — 261230 661105 25532 153 287362400762 113353 2010 339 116 +5 +2 +0 +1 +6 1.4
201228 MLB RAWWashington Nationals — 261227 661105 28532 153 291374405779 115359 2011 348 116 +5 +2 +0 +1 +6 1.4
201329 MLB MLEPhiladelphia Phillies — 250228 411024 15655 40 180246294540 114233 266 243 51 -15 +1 +0 -3 +5 -1.1
201329 MLB RAWPhiladelphia Phillies — 250227 411024 16655 40 181250295545 115234 266 247 51 -15 +1 +0 -3 +5 -1.1
201430 MLB MLE3 teams — 176147 24511 21585 51 163289231520 68258 3312 259 62 -8 +1 -1 -2 +4 -0.7
201430 MLB RAW3 teams — 176141 27621 27475 51 191341284625 92277 2715 294 62 -8 +1 -1 -2 +4 -0.7
201531 AAA MLE2 teams — 559495 10216412 442039 247 206283327610 121319 368 270 69 — — — — — —
201531 AAA RAW2 teams — 559469 12120517 701459 247 258365431796 173337 2613 351 69 — — — — — —
201632 AAA MLELas Vegas 51s — 446402 902037 331245 205 224291341632 117304 287 274 72 — — — — — —
201632 AAA RAWLas Vegas 51s — 446387 11329410 48935 205 292377465842 173360 2111 370 72 — — — — — —
201935 INTL MLE2 teams — 317292 801106 17702 23 274318373692 99339 225 299 88 — — — — — —
201935 INTL RAW2 teams — 317277 811417 32592 23 292370426796 134347 1910 351 88 — — — — — —
202238 INTL MLECuracao — 1918 5100 120 01 278316333649 56312 115 — — — — — — — —
202238 INTL RAWCuracao — 1918 5100 120 01 278316333649 56312 115 295 86 — — — — — —
202339 INTL MLECuracao — 3329 11110 430 01 379455483937 103423 912 — — — — — — — —
202339 INTL RAWCuracao — 3329 11110 430 01 379455483937 103423 912 419 170 — — — — — —
200521 A MLESavannah Sand Gnats — 505443 8612310 501237 358 194287302589 108236 2410 262 63 — — — — — —
200622 A+ MLEPotomac Nationals — 504460 1081625 351394 2811 235298311608 76319 287 273 71 — — — — — —
200723 AA MLE2 teams — 468428 1081725 341113 4014 252313336650 84322 247 283 78 — — — — — —
200824 AA MLE3 teams — 604554 17023118 421443 4514 307363431795 125399 247 342 117 — — — — — —
200925 AAA MLESyracuse Chiefs — 2320 3000 360 10 150273150423 222 2613 206 26 — — — — — —
201026 MLB MLE3 teams — 560510 13221513 401055 244 259322396718 137297 197 317 100 — — — — — —
201127 MLB MLE2 teams — 525479 11119212 331208 318 232292355647 123285 236 290 83 — — — — — —
201228 MLB MLEWashington Nationals — 261232 661105 25532 153 284362397758 112359 2010 339 116 — — — — — —
201329 MLB MLEPhiladelphia Phillies — 250228 411024 15655 40 180246294540 114234 266 243 51 — — — — — —
201430 MLB MLE3 teams — 176148 24511 21585 51 162289230519 68271 3312 259 62 — — — — — —
201531 AAA MLE2 teams — 559501 10216412 442039 247 204283323606 120310 368 270 69 — — — — — —
201632 AAA MLELas Vegas 51s — 446405 902037 331245 205 222291338629 116294 287 274 72 — — — — — —
201935 INTL MLE2 teams — 317295 801106 17702 23 271318369688 98334 225 299 88 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 14751319 31155828 12031418 5812 236308353661 118288 218 297 80 -23 +7 -12 -6 +32 -0.2
/ 162G— A+C — 650581 13724412 531388 265 236308353661 117288 218 297 80 -10 +3 -5 -2 +14 -0.1
Career— MLE — 52504714 11371833688 397132658 27480 241308351659 110315 258 287 80 -23 +7 -12 -6 +32 -0.2
/ 162G— MLE — 650584 14123411 491647 3410 241308351659 110316 258 287 80 -10 +3 -5 -2 +14 -0.1

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.

2019 AAAAlgodoneros Union Laguna · 142 PAwOBA .382 → .299 (−83)K% 17.6% → 22.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.61%÷0.956×1.200——22.09%
BB% (unintentional) /PA8.45%÷1.004×0.690—×0.9405.46%
HBP% /PA0.70%—×0.940—×0.9400.62%
Singles /BIP31.07%÷0.981×0.930—×0.94027.69%
Doubles /BIP6.80%÷1.076×0.830—×0.9404.93%
Triples /BIP0.00%÷1.116×0.920—×0.9400.00%
Home runs /BIP3.88%÷1.028×0.700—×0.9402.48%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 115, 3B 123, K 91, BB 101 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .382 → .299; ISO .148 → .099; BABIP .394 → .334. 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).

2016 AAALas Vegas 51s · 446 PAwOBA .361 → .274 (−88)K% 20.9% → 27.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.85%÷0.971×1.290——27.70%
BB% (unintentional) /PA10.54%÷0.962×0.710—×0.9527.40%
HBP% /PA1.12%—×0.980—×0.9521.05%
Singles /BIP23.81%÷0.994×0.900×1.021×0.95220.96%
Doubles /BIP9.86%÷1.128×0.810×1.021×0.9526.89%
Triples /BIP1.36%÷0.980×0.810×1.021×0.9521.09%
Home runs /BIP3.40%÷1.088×0.780—×0.9522.32%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 99, 2B 126, 3B 96, K 94, BB 92 — 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 ×1.021.

Result: wOBA .361 → .274; ISO .173 → .118; BABIP .360 → .294. 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 AAAAlbuquerque Isotopes · 447 PAwOBA .360 → .270 (−90)K% 27.1% → 36.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.07%÷0.960×1.290——36.38%
BB% (unintentional) /PA12.08%÷1.056×0.710—×0.9627.81%
HBP% /PA1.57%—×0.980—×0.9621.48%
Singles /BIP26.19%÷1.010×0.900×1.033×0.96223.19%
Doubles /BIP7.14%÷1.075×0.810×1.033×0.9625.35%
Triples /BIP1.59%÷0.933×0.810×1.033×0.9621.37%
Home runs /BIP5.95%÷1.105×0.780—×0.9624.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 121, 1B 102, 2B 115, 3B 87, K 92, BB 111 — 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 .360 → .270; ISO .190 → .132; BABIP .370 → .310. 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 AAAAlbuquerque Isotopes · 71 PAwOBA .335 → .242 (−93)K% 32.4% → 43.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.39%÷0.955×1.290——43.75%
BB% (unintentional) /PA16.90%÷1.049×0.710—×0.97211.11%
HBP% /PA1.41%—×0.980—×0.9721.34%
Singles /BIP29.41%÷1.008×0.900—×0.97225.53%
Doubles /BIP5.88%÷0.982×0.810—×0.9724.72%
Triples /BIP5.88%÷1.150×0.810—×0.9724.03%
Home runs /BIP0.00%÷1.078×0.780—×0.9720.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 102, 2B 96, 3B 130, K 91, BB 110 — 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).

Result: wOBA .335 → .242; ISO .105 → .070; BABIP .400 → .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).

2011 AAASyracuse Chiefs · 188 PAwOBA .325 → .278 (−47)K% 25.0% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷0.986×1.200——30.44%
BB% (unintentional) /PA9.04%÷1.012×0.690—×1.0036.19%
HBP% /PA2.13%—×0.940—×1.0032.01%
Singles /BIP22.22%÷1.000×0.930×1.010×1.00320.95%
Doubles /BIP7.69%÷1.018×0.830×1.010×1.0036.36%
Triples /BIP0.00%÷0.900×0.970×1.010×1.0030.00%
Home runs /BIP5.13%÷0.921×0.840—×1.0034.69%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 100, 2B 104, 3B 80, K 97, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .325 → .278; ISO .165 → .144; BABIP .315 → .286. 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).

2010 AAASyracuse Chiefs · 69 PAwOBA .412 → .382 (−30)K% 7.2% → 8.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA7.25%÷0.980×1.200——8.88%
BB% (unintentional) /PA8.70%÷1.027×0.690—×1.0185.95%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP32.14%÷0.999×0.930×1.005×1.01830.62%
Doubles /BIP3.57%÷1.043×0.830×1.005×1.0182.91%
Triples /BIP1.79%÷0.918×0.970×1.005×1.0181.93%
Home runs /BIP3.57%÷1.055×0.840—×1.0182.89%

Factors used: league row IL. Park (home-season share, regressed): HR 111, 1B 100, 2B 109, 3B 84, K 96, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .412 → .382; ISO .164 → .149; BABIP .382 → .359. 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).

2009 AAASyracuse Chiefs · 23 PAwOBA .235 → .206 (−29)K% 21.7% → 26.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.74%÷1.000×1.200——26.09%
BB% (unintentional) /PA17.39%÷1.000×0.690—×1.03312.40%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP23.08%÷1.000×0.930—×1.03322.17%
Doubles /BIP0.00%÷1.000×0.830—×1.0330.00%
Triples /BIP0.00%÷1.000×0.970—×1.0330.00%
Home runs /BIP0.00%÷1.000×0.840—×1.0330.00%

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

Result: wOBA .235 → .206; ISO .000 → .000; BABIP .231 → .222. 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).

2008 AAHarrisburg Senators · 303 PAwOBA .373 → .346 (−27)K% 21.1% → 25.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.12%÷1.000×1.220——25.77%
BB% (unintentional) /PA10.23%÷1.000×0.700—×1.0127.25%
HBP% /PA0.66%—×0.850—×1.0120.57%
Singles /BIP31.19%÷1.000×0.970×1.050×1.01232.15%
Doubles /BIP5.45%÷1.000×0.860×1.050×1.0124.98%
Triples /BIP3.47%÷1.000×0.950×1.050×1.0123.50%
Home runs /BIP2.48%÷1.000×0.780—×1.0121.95%

Factors used: league row EL. 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 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .373 → .346; ISO .150 → .135; BABIP .411 → .414. 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 — .