Darrell Ceciliani

PosLF
B/TL/L
Born1990-06-22
Age (2027)37
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201525AAALas Vegas 51s255.345/.401/.581916108—.270/.313/.430
201525MLBNYM75.206/.267/.2791560-0.1
201626AAATOR334.266/.326/.441101176—.236/.278/.374
201626MLBTOR29.111/.172/.185001-0.8
201727AAA/A+TOR101.200/.248/.221015—.168/.208/.189
201828No MLB games played
201929No MLB games played
202030No MLB games played
202131No MLB games played
202232No MLB games played
202333No MLB games played
202434No MLB games played
202535No MLB games played
202636No MLB games played
Last 3 seasons WAR -0.9
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)
200919 ROKKingsport Mets — 179158 37602 13315 142 234307310617 76280 177 284 34 — — — — — —
201121 ASavannah Sand Gnats — 488421 1092344 52968 258 259351361712 102327 2011 322 69 — — — — — —
201222 A+St. Lucie Mets — 9985 28611 10131 20 329398459857 129375 1310 376 103 — — — — — —
201222 INTLSurprise Saguaros — 7666 17301 9130 50 258347348695 91302 1712 315 100 — — — — — —
201323 AABinghamton Mets — 462418 1121766 291056 317 268324380704 112341 236 311 84 — — — — — —
201424 AABinghamton Mets — 430395 1141747 22896 167 289336405741 116351 215 327 79 — — — — — —
201525 MLBNew York Mets — 7568 14201 4252 51 206267279546 74310 335 252 60 -4 +1 +4 -4 +2 -0.1
201525 AAALas Vegas 51s — 255229 791949 21481 164 345401581982 236400 198 422 108 — — — — — —
201626 MLBToronto Blue Jays — 2927 3200 1141 00 111172185358 74231 483 169 1 -3 +0 -1 -4 +1 -0.8
201626 AAABuffalo Bisons — 334304 8117310 26521 115 266326441767 174290 168 337 76 — — — — — —
201727 AAABuffalo Bisons — 8177 12100 3211 10 156198169366 13214 264 174 -16 — — — — — —
201727 A+Dunedin Blue Jays — 2018 7100 161 00 389450444894 56583 305 407 88 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 10495 17401 5393 51 179240253493 74291 385 229 41 -7 +1 +3 -7 +2 -0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200919 ROK MLEKingsport Mets — 179166 32502 8445 142 193251259510 66242 254 218 34 — — — — — —
201121 A MLESavannah Sand Gnats — 488440 1031844 331258 258 234299320620 86310 267 270 69 — — — — — —
201222 A+ MLESt. Lucie Mets — 9990 26611 7201 20 289347411758 122346 207 321 103 — — — — — —
201323 AA MLEBinghamton Mets — 462429 1151575 191246 317 268308371679 103351 274 292 84 — — — — — —
201424 AA MLEBinghamton Mets — 430402 1061445 151086 167 264300356656 92332 253 285 79 — — — — — —
201525 MLB MLENew York Mets — 7569 14201 4252 51 203267275542 72310 335 257 60 -4 +1 +4 -4 +2 -0.1
201525 AAA MLELas Vegas 51s — 255237 641436 14631 164 270313430744 160338 255 328 108 — — — — — —
201626 MLB MLEToronto Blue Jays — 2927 3200 1141 00 111172185358 74231 483 169 1 -3 +0 -1 -4 +1 -0.8
201626 AAA MLEBuffalo Bisons — 334313 741637 17661 115 236278374652 137269 205 281 76 — — — — — —
201727 AAA MLEBuffalo Bisons — 8178 11100 2261 10 141173154327 13205 322 144 -16 — — — — — —
201727 A+ MLEDunedin Blue Jays — 2018 5100 181 00 278350333683 56521 405 299 88 — — — — — —
200919 ROK MLEKingsport Mets — 179166 32502 8445 142 193251259510 66250 254 218 34 — — — — — —
200919 ROK RAWKingsport Mets — 179158 37602 13315 142 234307310617 76280 177 284 34 — — — — — —
201121 A MLESavannah Sand Gnats — 488440 1031844 331258 258 234299320620 86318 267 270 69 — — — — — —
201121 A RAWSavannah Sand Gnats — 488421 1092344 52968 258 259351361712 102327 2011 322 69 — — — — — —
201222 A+ MLE2 teams — 175159 441011 13351 70 277335371706 94344 207 321 103 — — — — — —
201222 A+ RAW2 teams — 175151 45912 19261 70 298376411786 113344 1511 350 103 — — — — — —
201323 AA MLEBinghamton Mets — 462429 1151575 191246 317 268308371679 103362 274 292 84 — — — — — —
201323 AA RAWBinghamton Mets — 462418 1121766 291056 317 268324380704 112341 236 311 84 — — — — — —
201424 AA MLEBinghamton Mets — 430402 1061445 151086 167 264300356656 92342 253 285 79 — — — — — —
201424 AA RAWBinghamton Mets — 430395 1141747 22896 167 289336405741 116351 215 327 79 — — — — — —
201525 AAA MLE2 teams — 330306 791637 18883 215 258306399705 141336 275 312 97 — — — — — —
201525 AAA RAW2 teams — 330297 9321410 25733 215 313370512882 199382 228 383 97 — — — — — —
201626 AAA MLE2 teams — 363340 771837 18802 115 226269359628 132273 225 272 70 — — — — — —
201626 AAA RAW2 teams — 363331 8419310 27662 115 254314420734 166287 187 323 70 — — — — — —
201727 AAA MLE2 teams — 10196 16200 3352 10 167208188395 21262 353 175 4 — — — — — —
201727 AAA RAW2 teams — 10195 19200 4272 10 200248221469 21279 274 220 4 — — — — — —
200919 ROK MLEKingsport Mets — 179164 32502 8445 142 195251262514 67242 254 218 34 — — — — — —
201121 A MLESavannah Sand Gnats — 488444 1031844 331258 258 232299318617 86310 267 270 69 — — — — — —
201222 A+ MLE2 teams — 175159 441011 13351 70 277335371706 94346 207 321 103 — — — — — —
201323 AA MLEBinghamton Mets — 462434 1151575 191246 317 265308366675 101351 274 292 84 — — — — — —
201424 AA MLEBinghamton Mets — 430406 1061445 151086 167 261300352652 91332 253 285 79 — — — — — —
201525 AAA MLE2 teams — 330306 791637 18883 215 258306399705 141332 275 312 97 — — — — — —
201626 AAA MLE2 teams — 363340 771837 18802 115 226269359628 132266 225 272 70 — — — — — —
201727 AAA MLE2 teams — 10195 16200 3352 10 168208189397 21268 353 175 4 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 10495 17401 5393 51 179240253493 74291 385 229 75 -7 +1 +3 -7 +2 -0.9
/ 162G— A+C — 650594 1062506 3124419 316 178240251491 72291 385 229 75 -46 +4 +19 -46 +14 -5.7
Career— MLE — 25282338 572982231 12763933 12634 245293345638 101321 255 278 75 -7 +1 +3 -7 +2 -0.9
/ 162G— MLE — 650601 1472568 331648 329 245293346639 101320 255 278 75 -46 +4 +19 -46 +14 -5.7

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.

2017 AAABuffalo Bisons · 81 PAwOBA .169 → .144 (−25)K% 25.9% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.93%÷0.950×1.200——32.74%
BB% (unintentional) /PA3.70%÷1.027×0.690—×1.0032.49%
HBP% /PA1.23%—×0.940—×1.0031.16%
Singles /BIP19.64%÷1.021×0.930×1.049×1.00318.83%
Doubles /BIP1.79%÷0.940×0.830×1.049×1.0031.66%
Triples /BIP0.00%÷0.961×0.970×1.049×1.0030.00%
Home runs /BIP0.00%÷0.903×0.840—×1.0030.00%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 104, 2B 88, 3B 92, K 90, BB 106 — 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 ×1.049.

Result: wOBA .169 → .144; ISO .013 → .011; BABIP .214 → .205. 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).

2017 A+Dunedin Blue Jays · 20 PAwOBA .397 → .299 (−98)K% 30.0% → 42.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.00%÷1.007×1.420——42.31%
BB% (unintentional) /PA5.00%÷1.118×0.750—×0.9583.21%
HBP% /PA5.00%—×0.930—×0.9584.45%
Singles /BIP50.00%÷1.002×0.920—×0.95843.99%
Doubles /BIP8.33%÷0.940×0.960—×0.9588.16%
Triples /BIP0.00%÷1.150×0.810—×0.9580.00%
Home runs /BIP0.00%÷1.265×0.880—×0.9580.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 153, 1B 100, 2B 88, 3B 130, K 101, BB 124 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .397 → .299; ISO .056 → .045; BABIP .583 → .521. 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 AAABuffalo Bisons · 334 PAwOBA .330 → .281 (−49)K% 15.6% → 19.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.57%÷0.937×1.200——19.93%
BB% (unintentional) /PA7.49%÷1.034×0.690—×1.0185.09%
HBP% /PA0.30%—×0.940—×1.0180.29%
Singles /BIP20.24%÷1.008×0.930×1.009×1.01819.18%
Doubles /BIP6.75%÷0.917×0.830×1.009×1.0186.27%
Triples /BIP1.19%÷1.150×0.970×1.009×1.0181.03%
Home runs /BIP3.97%÷1.164×0.840—×1.0182.92%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 83, 3B 130, K 87, BB 107 — 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 ×1.009.

Result: wOBA .330 → .281; ISO .174 → .140; BABIP .290 → .269. 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 AAALas Vegas 51s · 255 PAwOBA .413 → .328 (−85)K% 18.8% → 24.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.82%÷0.977×1.290——24.85%
BB% (unintentional) /PA7.45%÷1.010×0.710—×1.0335.41%
HBP% /PA0.39%—×0.980—×1.0330.40%
Singles /BIP25.97%÷0.983×0.900×0.955×1.03323.46%
Doubles /BIP10.50%÷1.042×0.810×0.955×1.0338.05%
Triples /BIP2.21%÷1.061×0.810×0.955×1.0331.67%
Home runs /BIP4.97%÷1.099×0.780—×1.0333.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .413 → .328; ISO .236 → .172; BABIP .400 → .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).

2014 AABinghamton Mets · 430 PAwOBA .321 → .285 (−36)K% 20.7% → 25.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.70%÷1.011×1.220——24.98%
BB% (unintentional) /PA4.88%÷1.032×0.700—×1.0123.35%
HBP% /PA1.40%—×0.850—×1.0121.20%
Singles /BIP28.10%÷0.990×0.970×0.987×1.01227.51%
Doubles /BIP5.56%÷1.050×0.860×0.987×1.0124.55%
Triples /BIP1.31%÷1.036×0.950×0.987×1.0121.20%
Home runs /BIP2.29%÷1.009×0.780—×1.0121.79%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 98, 2B 110, 3B 107, K 102, BB 106 — 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 ×0.987.

Result: wOBA .321 → .285; ISO .116 → .094; BABIP .351 → .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).

2013 AABinghamton Mets · 462 PAwOBA .304 → .292 (−12)K% 22.7% → 26.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.73%÷1.034×1.220——26.83%
BB% (unintentional) /PA5.84%÷1.019×0.700—×1.0274.12%
HBP% /PA1.30%—×0.850—×1.0271.13%
Singles /BIP26.52%÷0.949×0.970×1.007×1.02728.04%
Doubles /BIP5.43%÷0.991×0.860×1.007×1.0274.87%
Triples /BIP1.92%÷0.900×0.950×1.007×1.0272.09%
Home runs /BIP1.92%÷1.012×0.780—×1.0271.52%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 90, 2B 98, 3B 80, K 107, BB 104 — 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 ×1.007.

Result: wOBA .304 → .292; ISO .112 → .102; BABIP .341 → .351. 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 A+St. Lucie Mets · 99 PAwOBA .370 → .321 (−49)K% 13.1% → 20.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.13%÷0.933×1.420——19.98%
BB% (unintentional) /PA10.10%÷1.034×0.750—×1.0127.42%
HBP% /PA1.01%—×0.930—×1.0120.95%
Singles /BIP27.78%÷1.020×0.920×1.013×1.01225.68%
Doubles /BIP8.33%÷1.036×0.960×1.013×1.0127.92%
Triples /BIP1.39%÷1.016×0.810×1.013×1.0121.14%
Home runs /BIP1.39%÷1.239×0.880—×1.0121.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 148, 1B 104, 2B 107, 3B 103, K 87, BB 107 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .370 → .321; ISO .129 → .110; BABIP .375 → .346. 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 ASavannah Sand Gnats · 488 PAwOBA .314 → .270 (−43)K% 19.7% → 25.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.67%÷1.026×1.340——25.70%
BB% (unintentional) /PA10.66%÷1.045×0.660—×1.0156.83%
HBP% /PA1.64%—×0.770—×1.0151.28%
Singles /BIP24.00%÷0.988×0.920×1.050×1.01523.81%
Doubles /BIP7.08%÷1.096×0.820×1.050×1.0155.64%
Triples /BIP1.23%÷1.040×0.940×1.050×1.0151.19%
Home runs /BIP1.23%÷0.819×0.820—×1.0151.25%

Factors used: league row SAL. Park (home-season share, regressed): HR 64, 1B 98, 2B 119, 3B 108, K 105, BB 109 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .314 → .270; ISO .102 → .090; BABIP .327 → .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).

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