Dayro Perez

PosSS
B/TR/R
Born2002-01-31
Age (2027)25
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202220ROKNYY167.250/.389/.37531636—.156/.257/.231
202321A/ROKNYY199.167/.264/.230110-9—.116/.188/.165
202422ANYY29.077/.172/.15405-55—.000/.069/.000
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2023 A
Speed73
Max EV66
Z-Con%50
Chase%41
BB%13
K%5

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)
201917 ROKDSL Yankees — 220204 46841 11622 219 225272319591 93312 285 263 -6 — — — — — —
202119 ROKDSL Yankees 2 — 265214 571236 378313 359 266405435840 168405 3114 380 38 — — — — — —
202220 ROKFCL Yankees — 167136 34803 28543 164 250389375764 125392 3217 354 36 — — — — — —
202321 ATampa Tarpons — 9285 13311 6391 21 153217247464 94267 427 214 -18 — — — — — —
202321 ROKFCL Yankees — 10789 16300 12304 82 180305213518 34262 2811 252 -2 — — — — — —
202422 ATampa Tarpons — 2926 2010 3150 50 77172154326 77182 5210 159 -55 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201917 ROK MLEDSL Yankees — 220207 27420 8762 219 130171169340 39199 354 160 -6 — — — — — —
202119 ROK MLEDSL Yankees 2 — 265226 34723 2510513 359 150273239512 88245 409 224 38 — — — — — —
202220 ROK MLEFCL Yankees — 167147 23502 17783 164 156257231489 75310 4710 222 36 — — — — — —
202321 A MLETampa Tarpons — 9287 10211 4541 21 115163195358 80260 594 141 -18 — — — — — —
202321 ROK MLEFCL Yankees — 10794 11200 7454 82 117210138348 21205 427 165 -2 — — — — — —
202422 A MLETampa Tarpons — 2927 0000 2210 50 6969 166 727 87 -55 — — — — — —
201917 ROK MLEDSL Yankees — 220207 27420 8762 219 130171169340 39201 354 160 -6 — — — — — —
201917 ROK RAWDSL Yankees — 220204 46841 11622 219 225272319591 93312 285 263 -6 — — — — — —
202119 ROK MLEDSL Yankees 2 — 265226 34723 2510513 359 150273239512 88261 409 224 38 — — — — — —
202119 ROK RAWDSL Yankees 2 — 265214 571236 378313 359 266405435840 168405 3114 380 38 — — — — — —
202220 ROK MLEFCL Yankees — 167147 23502 17783 164 156257231489 75313 4710 222 36 — — — — — —
202220 ROK RAWFCL Yankees — 167136 34803 28543 164 250389375764 125392 3217 354 36 — — — — — —
202321 ROK MLE2 teams — 199181 21411 111005 103 116188166354 50244 506 154 -10 — — — — — —
202321 ROK RAW2 teams — 199174 29611 18695 103 167264230494 63264 359 234 -10 — — — — — —
202422 A MLETampa Tarpons — 2927 0000 2210 50 6969 727 87 -55 — — — — — —
202422 A RAWTampa Tarpons — 2926 2010 3150 50 77172154326 77182 5210 159 -55 — — — — — —
201917 ROK MLEDSL Yankees — 220208 27420 8762 219 130171168339 38199 354 160 -6 — — — — — —
202119 ROK MLEDSL Yankees 2 — 265225 34723 2510513 359 151273240513 89245 409 224 38 — — — — — —
202220 ROK MLEFCL Yankees — 167145 23502 17783 164 159257234492 76310 4710 222 36 — — — — — —
202321 ROK MLE2 teams — 199181 21411 111005 103 116188166354 50230 506 154 -10 — — — — — —
202422 A MLETampa Tarpons — 2927 0000 2210 50 6969 166 727 87 -55 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202422 A MLETampa Tarpons — 2927 0000 2210 50 6969 166 727 87 -55 — — — — — —
▸ Career Totals
Career— MLE — 880788 1052056 6338023 8725 133219194413 61243 437 187 13 -91 +7 +0 +9 +19 -5.6
/ 162G— MLE — 650582 781544 4728117 6418 134220194414 60246 437 187 13 -67 +6 +0 +7 +14 -4.2

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.

2024 ATampa Tarpons · 29 PAwOBA .156 → .087 (−69)K% 51.7% → 73.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA51.72%÷0.959×1.360——73.36%
BB% (unintentional) /PA10.34%÷1.061×0.690——6.73%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP9.09%÷1.035×0.920——8.08%
Doubles /BIP0.00%÷1.028×0.830——0.00%
Triples /BIP9.09%÷0.971×0.910——8.52%
Home runs /BIP0.00%÷0.979×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 107, 2B 106, 3B 94, K 92, BB 112 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .156 → .087; ISO .077 → .038; BABIP .182 → .166. 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).

2023 ROKFCL Yankees · 107 PAwOBA .251 → .165 (−86)K% 28.0% → 42.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.04%÷0.951×1.440——42.47%
BB% (unintentional) /PA11.21%÷0.995×0.620—×0.9856.89%
HBP% /PA3.74%—×0.720—×0.9852.65%
Singles /BIP22.03%÷0.994×0.820×1.005×0.98518.00%
Doubles /BIP5.08%÷1.106×0.720×1.005×0.9853.28%
Triples /BIP0.00%÷0.900×0.720×1.005×0.9850.00%
Home runs /BIP0.00%÷1.383×0.780—×0.9850.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 177, 1B 99, 2B 121, 3B 80, K 90, BB 99 — 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 ×1.005.

Result: wOBA .251 → .165; ISO .034 → .019; BABIP .262 → .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).

2023 ATampa Tarpons · 92 PAwOBA .209 → .141 (−68)K% 42.4% → 59.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA42.39%÷0.975×1.360——59.15%
BB% (unintentional) /PA6.52%÷1.079×0.690—×1.0154.23%
HBP% /PA1.09%—×0.780—×1.0150.86%
Singles /BIP17.39%÷0.987×0.920×1.050×1.01517.27%
Doubles /BIP6.52%÷0.972×0.830×1.050×1.0155.94%
Triples /BIP2.17%÷0.900×0.910×1.050×1.0152.34%
Home runs /BIP2.17%÷1.086×0.800—×1.0151.63%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 97, 2B 94, 3B 80, K 95, BB 116 — 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 .209 → .141; ISO .094 → .060; BABIP .267 → .260. 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).

2022 ROKFCL Yankees · 167 PAwOBA .345 → .222 (−123)K% 32.3% → 47.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.34%÷0.990×1.440——47.02%
BB% (unintentional) /PA16.77%÷1.026×0.620—×0.99510.08%
HBP% /PA1.80%—×0.720—×0.9951.29%
Singles /BIP28.05%÷0.983×0.820×0.990×0.99523.06%
Doubles /BIP9.76%÷0.974×0.720×0.990×0.9957.11%
Triples /BIP0.00%÷1.150×0.720×0.990×0.9950.00%
Home runs /BIP3.66%÷1.066×0.780—×0.9952.66%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 95, 3B 130, K 98, BB 105 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .345 → .222; ISO .125 → .077; BABIP .392 → .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).

2021 DSLDSL Yankees 2 · 265 PAwOBA .372 → .224 (−148)K% 31.3% → 39.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.32%÷0.964×1.220——39.65%
BB% (unintentional) /PA13.96%÷1.038×0.700—×0.9959.37%
HBP% /PA4.91%—×0.700—×0.9953.42%
Singles /BIP27.48%÷1.033×0.680×0.982×0.99517.67%
Doubles /BIP9.16%÷1.033×0.600×0.982×0.9955.20%
Triples /BIP2.29%÷0.977×0.600×0.982×0.9951.37%
Home runs /BIP4.58%÷1.063×0.470—×0.9952.02%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 107, 2B 107, 3B 95, K 93, BB 108 — 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 ×0.982.

Result: wOBA .372 → .224; ISO .168 → .082; BABIP .405 → .245. 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).

2019 DSLDSL Yankees · 220 PAwOBA .260 → .160 (−100)K% 28.2% → 34.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.18%÷1.000×1.220——34.38%
BB% (unintentional) /PA5.00%÷1.000×0.700—×1.0223.58%
HBP% /PA0.91%—×0.700—×1.0220.65%
Singles /BIP23.24%÷1.000×0.680×0.950×1.02215.35%
Doubles /BIP5.63%÷1.000×0.600×0.950×1.0223.28%
Triples /BIP2.82%÷1.000×0.600×0.950×1.0221.64%
Home runs /BIP0.70%÷1.000×0.470—×1.0220.34%

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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .260 → .160; ISO .093 → .050; BABIP .312 → .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).