Johny Celis

Pos1B
B/TL/R
Born1987-03-26
Age (2027)40
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
200922ROKGreat Falls V…246.281/.394/.4537067—.202/.278/.317
201629INTLTiburones de …59.327/.431/.40800142—
201932INTLBravos de Mar…25.143/.280/.2380057—
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)
200619 ROKVSL Orioles/White Sox — 147117 391420 26242 75 333462487949 154419 1618 419 78 — — — — — —
200720 ROKDSL White Sox 2 — 295232 671108 503710 66 289435440875 151311 1317 395 61 — — — — — —
200821 ROKGreat Falls Voyagers — 287240 682215 41514 12 283396446842 163339 1814 376 65 — — — — — —
200922 ROKGreat Falls Voyagers — 246203 571407 36462 02 281394453847 172323 1915 373 67 — — — — — —
201629 INTLTiburones de La Guaira — 5949 16400 871 00 327431408839 82372 1214 378 142 — — — — — —
201932 INTLBravos de Margarita — 2521 3200 371 00 143280238518 95214 2812 252 57 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200619 ROK MLEVSL Orioles/White Sox — 147125 27910 18292 75 216324304628 88278 2012 284 78 — — — — — —
200720 ROK MLEDSL White Sox 2 — 295248 45704 344510 66 181305258563 77199 1512 259 61 — — — — — —
200821 ROK MLEGreat Falls Voyagers — 287257 541614 24734 12 210288327615 117265 258 265 65 — — — — — —
200922 ROK MLEGreat Falls Voyagers — 246218 441005 21662 02 202278317595 115251 279 267 67 — — — — — —
200619 ROK MLEVSL Orioles/White Sox — 147125 27910 18292 75 216324304628 88281 2012 284 78 — — — — — —
200619 ROK RAWVSL Orioles/White Sox — 147117 391420 26242 75 333462487949 154419 1618 419 78 — — — — — —
200720 ROK MLEDSL White Sox 2 — 295248 45704 344510 66 181305258563 77203 1512 259 61 — — — — — —
200720 ROK RAWDSL White Sox 2 — 295232 671108 503710 66 289435440875 151311 1317 395 61 — — — — — —
200821 ROK MLEGreat Falls Voyagers — 287257 541614 24734 12 210288327615 117275 258 265 65 — — — — — —
200821 ROK RAWGreat Falls Voyagers — 287240 682215 41514 12 283396446842 163339 1814 376 65 — — — — — —
200922 ROK MLEGreat Falls Voyagers — 246218 441005 21662 02 202278317595 115257 279 267 67 — — — — — —
200922 ROK RAWGreat Falls Voyagers — 246203 571407 36462 02 281394453847 172323 1915 373 67 — — — — — —
201629 INTL MLETiburones de La Guaira — 5949 16400 871 00 327431408839 82372 1214 — — — — — — — —
201629 INTL RAWTiburones de La Guaira — 5949 16400 871 00 327431408839 82372 1214 378 142 — — — — — —
201932 INTL MLEBravos de Margarita — 2521 3200 371 00 143280238518 95214 2812 — — — — — — — —
201932 INTL RAWBravos de Margarita — 2521 3200 371 00 143280238518 95214 2812 252 57 — — — — — —
200619 ROK MLEVSL Orioles/White Sox — 147126 27910 18292 75 214324302626 87278 2012 284 78 — — — — — —
200720 ROK MLEDSL White Sox 2 — 295249 45704 344510 66 181305257562 76199 1512 259 61 — — — — — —
200821 ROK MLEGreat Falls Voyagers — 287257 541614 24734 12 210288327615 117265 258 265 65 — — — — — —
200922 ROK MLEGreat Falls Voyagers — 246221 441005 21662 02 199278312590 113251 279 267 67 — — — — — —
▸ Career Totals
Career— MLE — 1059918 18948213 10822720 1415 206303305608 99255 2110 245 52 -60 -3 +0 -19 +23 -6.1
/ 162G— MLE — 650563 1152918 6613912 99 204301302603 98253 2110 245 52 -37 -2 +0 -12 +14 -3.7

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.

2009 ROKGreat Falls Voyagers · 246 PAwOBA .371 → .267 (−104)K% 18.7% → 26.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.70%÷1.000×1.440——26.93%
BB% (unintentional) /PA14.63%÷1.000×0.610—×0.9758.70%
HBP% /PA0.81%—×0.720—×0.9750.57%
Singles /BIP22.93%÷1.000×0.820×1.022×0.97518.73%
Doubles /BIP8.92%÷1.000×0.720×1.022×0.9756.40%
Triples /BIP0.00%÷1.000×0.720×1.022×0.9750.00%
Home runs /BIP4.46%÷1.000×0.750—×0.9753.26%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .371 → .267; ISO .172 → .125; BABIP .323 → .251. 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 ROKGreat Falls Voyagers · 287 PAwOBA .369 → .265 (−103)K% 17.8% → 25.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.77%÷1.000×1.440——25.59%
BB% (unintentional) /PA13.94%÷1.000×0.610—×0.9858.37%
HBP% /PA1.39%—×0.720—×0.9850.99%
Singles /BIP21.16%÷1.000×0.820×1.021×0.98517.45%
Doubles /BIP11.64%÷1.000×0.720×1.021×0.9858.43%
Triples /BIP0.53%÷1.000×0.720×1.021×0.9850.38%
Home runs /BIP2.65%÷1.000×0.750—×0.9851.95%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .369 → .265; ISO .163 → .117; BABIP .339 → .265. 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 DSLDSL White Sox 2 · 295 PAwOBA .388 → .259 (−130)K% 12.5% → 15.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.54%÷1.000×1.220——15.30%
BB% (unintentional) /PA16.61%÷1.000×0.700—×0.98511.45%
HBP% /PA3.39%—×0.700—×0.9852.34%
Singles /BIP24.62%÷1.000×0.680×0.999×0.98516.47%
Doubles /BIP5.64%÷1.000×0.600×0.999×0.9853.33%
Triples /BIP0.00%÷1.000×0.600×0.999×0.9850.00%
Home runs /BIP4.10%÷1.000×0.470—×0.9851.90%

Factors used: level-wide DSL 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .388 → .259; ISO .151 → .081; BABIP .311 → .199. 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).

2006 DSLVSL Orioles/White Sox · 147 PAwOBA .409 → .284 (−125)K% 16.3% → 19.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.33%÷1.000×1.220——19.92%
BB% (unintentional) /PA17.69%÷1.000×0.700—×0.99512.32%
HBP% /PA1.36%—×0.700—×0.9950.95%
Singles /BIP24.73%÷1.000×0.680×1.030×0.99517.23%
Doubles /BIP15.05%÷1.000×0.600×1.030×0.9959.25%
Triples /BIP2.15%÷1.000×0.600×1.030×0.9951.32%
Home runs /BIP0.00%÷1.000×0.470—×0.9950.00%

Factors used: level-wide DSL 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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .409 → .284; ISO .154 → .100; BABIP .419 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .