Jhonatan Solano

PosC
B/TR/R
Born1985-08-12
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201630AAA/INTL2 orgs265.236/.301/.2951049—.200/.238/.228
201731AAASyracuse Chie…157.241/.290/.3382045—.218/.258/.306
201832INTLGigantes del …16.333/.375/.53310157—
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
200620 ROKGCL Nationals — 144129 33300 6153 31 256304279583 23284 104 260 19 — — — — — —
200721 AHagerstown Suns — 348298 741503 42534 03 248349329678 81292 1512 312 55 — — — — — —
200822 A+Potomac Nationals — 250225 581104 16304 21 258318360678 102278 126 302 61 — — — — — —
200822 AHagerstown Suns — 6555 12201 661 11 218306309616 91224 99 273 47 — — — — — —
200923 AAASyracuse Chiefs — 199183 371101 9241 21 202244279522 77222 125 230 35 — — — — — —
200923 AAHarrisburg Senators — 9593 26701 2160 00 280295387682 108329 172 303 70 — — — — — —
201024 AAHarrisburg Senators — 345317 801506 21283 11 252305356661 104259 86 296 62 — — — — — —
201024 INTLGigantes del Cibao — 1817 8300 020 00 4714716471.118 176533 110 465 201 — — — — — —
201125 AAASyracuse Chiefs — 279255 701405 19361 11 275327388716 114301 137 317 76 — — — — — —
201125 INTLTigres del Licey — 122104 23301 1490 10 221314279592 58229 711 270 69 — — — — — —
201226 MLBWashington Nationals — 3735 11302 250 10 314351571923 257321 145 401 144 +2 +0 +1 +3 +1 0.7
201226 AAASyracuse Chiefs — 5752 13200 361 00 250304288592 38277 115 269 47 — — — — — —
201226 AAHarrisburg Senators — 4341 8101 0121 00 195214293507 98241 280 222 16 — — — — — —
201226 INTLTigres del Licey — 4236 12302 441 00 333415583998 250333 1010 426 174 — — — — — —
201327 MLBWashington Nationals — 5048 7200 270 01 146180188367 42171 144 170 0 -6 -0 +1 +4 +1 -0.0
201327 AAASyracuse Chiefs — 148140 30710 5171 00 214247279525 64242 113 235 22 — — — — — —
201428 AAASyracuse Chiefs — 374343 8615110 23495 10 251307388695 137265 136 309 61 — — — — — —
201428 INTLTigres del Licey — 7973 17402 1115 00 233291370661 137250 141 299 89 — — — — — —
201529 MLBMiami Marlins — 2120 1100 110 00 5095100195 5053 55 94 -46 -4 +0 -1 +5 +0 0.1
201529 AAANew Orleans Zephyrs — 208193 44703 10272 00 228273311584 83248 135 262 33 — — — — — —
201529 INTLToros del Este — 4236 8100 221 00 222282250532 28235 55 232 43 — — — — — —
201630 AAASyracuse Chiefs — 194173 39600 14202 00 225291260551 35250 107 252 29 — — — — — —
201630 INTLDominican Republic — 7164 17501 571 00 266329391719 125286 107 319 102 — — — — — —
201731 AAASyracuse Chiefs — 157145 35612 6144 00 241290338628 97252 94 281 45 — — — — — —
201832 INTLGigantes del Cibao — 1615 5001 110 00 333375533908 200308 66 400 157 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 108103 19602 5130 11 184222301523 117193 125 234 45 -7 -0 +2 +12 +2 0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200620 ROK MLEGCL Nationals — 144131 26200 4223 31 198239214453 15221 153 197 19 — — — — — —
200721 A MLEHagerstown Suns — 348313 651202 27714 03 208279265544 58258 208 249 55 — — — — — —
200822 A+ MLEPotomac Nationals — 250231 54904 10424 21 234278325602 91259 174 259 61 — — — — — —
200822 A MLEHagerstown Suns — 6557 12201 481 11 211274298572 88207 126 238 47 — — — — — —
200923 AAA MLESyracuse Chiefs — 199185 371001 7291 21 200233270503 70220 154 220 35 — — — — — —
200923 AA MLEHarrisburg Senators — 9594 25601 1190 00 266274362635 96327 201 272 70 — — — — — —
201024 AA MLEHarrisburg Senators — 345325 771405 13353 11 237273326599 89246 104 260 62 — — — — — —
201125 AAA MLESyracuse Chiefs — 279261 671205 13441 11 257295360655 103281 165 280 76 — — — — — —
201226 MLB MLEWashington Nationals — 3736 11302 150 10 306324556880 250321 143 381 144 +2 +0 +1 +3 +1 0.7
201226 AAA MLESyracuse Chiefs — 5753 12200 271 00 226268264532 38252 124 237 47 — — — — — —
201226 AA MLEHarrisburg Senators — 4341 8101 0151 00 195214293507 98230 350 192 16 — — — — — —
201327 MLB MLEWashington Nationals — 5048 7200 270 01 146180188367 42171 144 169 0 -6 -0 +1 +4 +1 -0.0
201327 AAA MLESyracuse Chiefs — 148142 27610 3211 00 190212246459 56217 142 200 22 — — — — — —
201428 AAA MLESyracuse Chiefs — 374351 761218 15615 10 217259325584 108236 164 258 61 — — — — — —
201529 MLB MLEMiami Marlins — 2120 1100 110 00 5095100195 5053 55 100 -46 -4 +0 -1 +5 +0 0.1
201529 AAA MLENew Orleans Zephyrs — 208197 38502 6342 00 193224249473 56221 163 217 33 — — — — — —
201630 AAA MLESyracuse Chiefs — 194180 36500 7252 00 200238228466 28221 134 211 29 — — — — — —
201731 AAA MLESyracuse Chiefs — 157147 32512 4174 00 218258306564 88219 113 235 45 — — — — — —
200620 ROK MLEGCL Nationals — 144131 26200 4223 31 198239214453 15234 153 197 19 — — — — — —
200620 ROK RAWGCL Nationals — 144129 33300 6153 31 256304279583 23284 104 260 19 — — — — — —
200721 A MLEHagerstown Suns — 348313 651202 27714 03 208279265544 58261 208 249 55 — — — — — —
200721 A RAWHagerstown Suns — 348298 741503 42534 03 248349329678 81292 1512 312 55 — — — — — —
200822 A+ MLE2 teams — 315288 651104 14515 32 226274306579 80257 164 255 59 — — — — — —
200822 A+ RAW2 teams — 315280 701305 22365 32 250316350666 100267 117 296 59 — — — — — —
200923 AAA MLE2 teams — 294279 621602 8481 21 222247301548 79258 163 237 46 — — — — — —
200923 AAA RAW2 teams — 294276 631802 11401 21 228260315576 87256 144 254 46 — — — — — —
201024 AA MLE2 teams — 363341 811505 14373 11 238274326599 88252 104 260 62 — — — — — —
201024 AA RAW2 teams — 363334 881806 21303 11 263313371684 108272 86 304 62 — — — — — —
201125 AAA MLE2 teams — 401374 951707 18631 21 254290356646 102286 164 280 76 — — — — — —
201125 AAA RAW2 teams — 401359 931706 33451 21 259323357680 97279 118 303 76 — — — — — —
201226 AAA MLE4 teams — 179169 40704 4353 10 237267349616 112273 202 262 63 — — — — — —
201226 AAA RAW4 teams — 179164 44905 9273 10 268318415733 146291 155 322 63 — — — — — —
201327 AAA MLE2 teams — 198190 34810 5281 01 179204232436 53209 143 192 16 — — — — — —
201327 AAA RAW2 teams — 198188 37910 7241 01 197230255485 59224 124 218 16 — — — — — —
201428 AAA MLE2 teams — 453421 9315110 197410 10 221271333604 112244 164 258 61 — — — — — —
201428 AAA RAW2 teams — 453416 10319112 246010 10 248304385689 137262 135 308 61 — — — — — —
201529 AAA MLE3 teams — 271253 48803 9423 00 190226257483 67214 153 206 26 — — — — — —
201529 AAA RAW3 teams — 271249 53903 13303 00 213260285546 72229 115 244 26 — — — — — —
201630 AAA MLE2 teams — 265246 49700 10343 00 199239228467 28228 134 211 29 — — — — — —
201630 AAA RAW2 teams — 265237 561101 19273 00 236301295597 59259 107 270 29 — — — — — —
201731 AAA MLESyracuse Chiefs — 157147 32512 4174 00 218258306564 88231 113 235 45 — — — — — —
201731 AAA RAWSyracuse Chiefs — 157145 35612 6144 00 241290338628 97252 94 281 45 — — — — — —
201832 INTL MLEGigantes del Cibao — 1615 5001 110 00 333375533908 200308 66 — — — — — — — —
201832 INTL RAWGigantes del Cibao — 1615 5001 110 00 333375533908 200308 66 400 157 — — — — — —
200620 ROK MLEGCL Nationals — 144136 26200 4223 31 191239206445 15221 153 197 19 — — — — — —
200721 A MLEHagerstown Suns — 348314 651202 27714 03 207279264543 57258 208 249 55 — — — — — —
200822 A+ MLE2 teams — 315293 651104 14515 32 222274300574 78248 164 255 59 — — — — — —
200923 AAA MLE2 teams — 294283 621602 8481 21 219247297543 78255 163 237 46 — — — — — —
201024 AA MLE2 teams — 363343 811505 14373 11 236274324597 87246 104 260 62 — — — — — —
201125 AAA MLE2 teams — 401379 951707 18631 21 251290351641 100281 164 280 76 — — — — — —
201226 AAA MLE4 teams — 179170 40704 4353 10 235267347614 112264 202 262 63 — — — — — —
201327 AAA MLE2 teams — 198190 34810 5281 01 179204232436 53205 143 192 16 — — — — — —
201428 AAA MLE2 teams — 453421 9315110 197410 10 221271333604 112236 164 258 61 — — — — — —
201529 AAA MLE3 teams — 271257 48803 9423 00 187226253479 66206 153 206 26 — — — — — —
201630 AAA MLE2 teams — 265250 49700 10343 00 196239224463 28221 134 211 29 — — — — — —
201731 AAA MLESyracuse Chiefs — 157148 32512 4174 00 216258304562 88219 113 235 45 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 108103 19602 5130 11 184222301523 117193 125 234 50 -7 -0 +2 +12 +2 0.8
/ 162G— A+C — 650620 11436012 30780 66 184222300522 116192 125 234 50 -43 -1 +10 +70 +14 5.0
Career— MLE — 34043167 695123340 13752341 1310 219261298559 79249 154 241 50 -7 -0 +2 +12 +2 0.8
/ 162G— MLE — 650605 1332318 261008 22 220261301562 81249 154 241 50 -43 -1 +10 +70 +14 5.0

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.

2017 AAASyracuse Chiefs · 157 PAwOBA .277 → .235 (−42)K% 8.9% → 10.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.92%÷1.005×1.200——10.65%
BB% (unintentional) /PA3.82%÷1.033×0.690—×0.9522.43%
HBP% /PA2.55%—×0.940—×0.9522.28%
Singles /BIP19.85%÷0.997×0.930×1.017×0.95217.92%
Doubles /BIP4.58%÷1.081×0.830×1.017×0.9523.41%
Triples /BIP0.76%÷1.150×0.970×1.017×0.9520.62%
Home runs /BIP1.53%÷0.980×0.840—×0.9521.25%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 99, 2B 116, 3B 130, K 101, BB 107 — 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 ×1.017.

Result: wOBA .277 → .235; ISO .097 → .077; BABIP .252 → .219. 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 AAASyracuse Chiefs · 194 PAwOBA .245 → .211 (−34)K% 10.3% → 13.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.31%÷0.949×1.200——13.03%
BB% (unintentional) /PA6.19%÷1.110×0.690—×0.9623.70%
HBP% /PA1.03%—×0.940—×0.9620.93%
Singles /BIP21.57%÷1.048×0.930×1.038×0.96219.11%
Doubles /BIP3.92%÷0.959×0.830×1.038×0.9623.39%
Triples /BIP0.00%÷0.900×0.970×1.038×0.9620.00%
Home runs /BIP0.00%÷0.978×0.840—×0.9620.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — 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 ×1.038.

Result: wOBA .245 → .211; ISO .035 → .031; BABIP .250 → .221. 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 AAANew Orleans Zephyrs · 208 PAwOBA .255 → .217 (−38)K% 13.0% → 16.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.98%÷1.016×1.290——16.48%
BB% (unintentional) /PA4.33%÷0.997×0.710—×0.9723.00%
HBP% /PA0.96%—×0.980—×0.9720.92%
Singles /BIP20.48%÷0.969×0.900×1.011×0.97218.70%
Doubles /BIP4.22%÷1.012×0.810×1.011×0.9723.32%
Triples /BIP0.00%÷0.985×0.810×1.011×0.9720.00%
Home runs /BIP1.81%÷0.975×0.780—×0.9721.41%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 94, 2B 102, 3B 97, K 103, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .255 → .217; ISO .083 → .065; BABIP .248 → .221. 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 AAASyracuse Chiefs · 374 PAwOBA .302 → .258 (−45)K% 13.1% → 16.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.10%÷0.965×1.200——16.29%
BB% (unintentional) /PA5.88%÷0.972×0.690—×0.9824.10%
HBP% /PA1.34%—×0.940—×0.9821.23%
Singles /BIP20.41%÷1.003×0.930×1.009×0.98218.74%
Doubles /BIP5.10%÷1.027×0.830×1.009×0.9824.09%
Triples /BIP0.34%÷1.063×0.970×1.009×0.9820.31%
Home runs /BIP3.40%÷0.985×0.840—×0.9822.85%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 101, 2B 105, 3B 113, K 93, BB 94 — 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 ×1.009.

Result: wOBA .302 → .258; ISO .137 → .113; BABIP .265 → .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).

2013 AAASyracuse Chiefs · 148 PAwOBA .227 → .200 (−27)K% 11.5% → 14.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.49%÷0.979×1.200——14.09%
BB% (unintentional) /PA2.70%÷0.966×0.690—×0.9921.92%
HBP% /PA0.68%—×0.940—×0.9920.63%
Singles /BIP17.89%÷0.991×0.930×0.988×0.99216.44%
Doubles /BIP5.69%÷0.979×0.830×0.988×0.9924.73%
Triples /BIP0.81%÷1.055×0.970×0.988×0.9920.73%
Home runs /BIP0.00%÷0.914×0.840—×0.9920.00%

Factors used: league row IL. Park (home-season share, regressed): HR 83, 1B 98, 2B 96, 3B 111, K 96, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .227 → .200; ISO .064 → .055; BABIP .242 → .217. 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 AAASyracuse Chiefs · 57 PAwOBA .267 → .237 (−30)K% 10.5% → 13.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.53%÷0.964×1.200——13.10%
BB% (unintentional) /PA5.26%÷0.984×0.690—×1.0033.70%
HBP% /PA1.75%—×0.940—×1.0031.65%
Singles /BIP23.91%÷0.992×0.930×0.986×1.00322.18%
Doubles /BIP4.35%÷1.002×0.830×0.986×1.0033.56%
Triples /BIP0.00%÷1.008×0.970×0.986×1.0030.00%
Home runs /BIP0.00%÷0.925×0.840—×1.0030.00%

Factors used: league row IL. Park (home-season share, regressed): HR 85, 1B 98, 2B 100, 3B 102, K 93, BB 97 — 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 ×0.986.

Result: wOBA .267 → .237; ISO .038 → .032; BABIP .277 → .252. 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 AAHarrisburg Senators · 43 PAwOBA .220 → .192 (−29)K% 27.9% → 33.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.91%÷1.006×1.220——33.83%
BB% (unintentional) /PA0.00%÷0.989×0.700—×0.9780.00%
HBP% /PA2.33%—×0.850—×0.9781.93%
Singles /BIP20.69%÷0.967×0.970—×0.97820.31%
Doubles /BIP3.45%÷0.982×0.860—×0.9782.95%
Triples /BIP0.00%÷1.015×0.950—×0.9780.00%
Home runs /BIP3.45%÷0.976×0.780—×0.9782.70%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 93, 2B 96, 3B 103, K 101, 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 .220 → .192; ISO .098 → .074; BABIP .241 → .230. 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 · 279 PAwOBA .310 → .280 (−30)K% 12.9% → 15.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.90%÷0.986×1.200——15.71%
BB% (unintentional) /PA6.45%÷1.012×0.690—×1.0184.48%
HBP% /PA0.36%—×0.940—×1.0180.34%
Singles /BIP23.29%÷1.000×0.930×1.015×1.01822.38%
Doubles /BIP6.39%÷1.018×0.830×1.015×1.0185.38%
Triples /BIP0.00%÷0.900×0.970×1.015×1.0180.00%
Home runs /BIP2.28%÷0.921×0.840—×1.0182.12%

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 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 ×1.015.

Result: wOBA .310 → .280; ISO .114 → .102; BABIP .301 → .281. 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 — .