Yohan Matos

PosC
B/TR/R
Born1996-10-06
Age (2027)30
No MLB projection yet. Career stats below are historical.
Overview
ROKLAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201417ROKCHC225.289/.381/.4696749—.183/.260/.277
201518ROKAZL Cubs85.156/.226/.22111-18—.114/.167/.165
201619ROKAZL Cubs127.241/.349/.3430532—.167/.246/.228
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)
201417 ROKDSL Cubs — 225194 56946 26473 72 289381469850 180350 2112 375 49 — — — — — —
201518 ROKAZL Cubs — 8577 12201 5252 11 156226221447 65216 296 209 -18 — — — — — —
201619 ROKAZL Cubs — 127108 26530 17341 52 241349343692 102347 2713 316 32 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201417 ROK MLEDSL Cubs — 225202 37623 18573 72 183260277537 94233 258 240 49 — — — — — —
201518 ROK MLEAZL Cubs — 8579 9101 3362 11 114167165331 51182 424 142 -18 — — — — — —
201619 ROK MLEAZL Cubs — 127114 19320 11491 52 167246228474 61283 399 216 32 — — — — — —
201417 ROK MLEDSL Cubs — 225202 37623 18573 72 183260277537 94236 258 240 49 — — — — — —
201417 ROK RAWDSL Cubs — 225194 56946 26473 72 289381469850 180350 2112 375 49 — — — — — —
201518 ROK MLEAZL Cubs — 8579 9101 3362 11 114167165331 51190 424 142 -18 — — — — — —
201518 ROK RAWAZL Cubs — 8577 12201 5252 11 156226221447 65216 296 209 -18 — — — — — —
201619 ROK MLEAZL Cubs — 127114 19320 11491 52 167246228474 61288 399 216 32 — — — — — —
201619 ROK RAWAZL Cubs — 127108 26530 17341 52 241349343692 102347 2713 316 32 — — — — — —
201417 ROK MLEDSL Cubs — 225202 37623 18573 72 183260277537 94233 258 240 49 — — — — — —
201518 ROK MLEAZL Cubs — 8580 9101 3362 11 113167163329 50182 424 142 -18 — — — — — —
201619 ROK MLEAZL Cubs — 127114 19320 11491 52 167246228474 61283 399 216 32 — — — — — —
▸ Career Totals
Career— MLE — 437395 651044 321426 135 165238241478 76242 327 214 31 -36 +1 +0 +8 +9 -1.8
/ 162G— MLE — 650588 971566 482119 197 165239241480 77243 327 214 31 -53 +1 +0 +12 +14 -2.7

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.

2016 ROKAZL Cubs · 127 PAwOBA .311 → .216 (−95)K% 26.8% → 38.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.77%÷1.000×1.440——38.55%
BB% (unintentional) /PA13.39%÷1.000×0.620—×0.9958.26%
HBP% /PA0.79%—×0.720—×0.9950.56%
Singles /BIP24.32%÷1.000×0.820×1.040×0.99520.63%
Doubles /BIP6.76%÷1.000×0.720×1.040×0.9955.03%
Triples /BIP4.05%÷1.000×0.720×1.040×0.9953.02%
Home runs /BIP0.00%÷1.000×0.780—×0.9950.00%

Factors used: level-wide ROK 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 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 ×1.040.

Result: wOBA .311 → .216; ISO .102 → .069; BABIP .347 → .283. 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 ROKAZL Cubs · 85 PAwOBA .204 → .142 (−62)K% 29.4% → 42.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.41%÷1.000×1.440——42.35%
BB% (unintentional) /PA5.88%÷1.000×0.620—×1.0083.67%
HBP% /PA2.35%—×0.720—×1.0081.71%
Singles /BIP17.31%÷1.000×0.820×1.050×1.00815.01%
Doubles /BIP3.85%÷1.000×0.720×1.050×1.0082.93%
Triples /BIP0.00%÷1.000×0.720×1.050×1.0080.00%
Home runs /BIP1.92%÷1.000×0.780—×1.0081.51%

Factors used: level-wide ROK 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 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .204 → .142; ISO .065 → .043; BABIP .216 → .182. 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 DSLDSL Cubs · 225 PAwOBA .367 → .240 (−127)K% 20.9% → 25.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.89%÷1.000×1.220——25.48%
BB% (unintentional) /PA11.11%÷1.000×0.700—×1.0087.84%
HBP% /PA1.33%—×0.700—×1.0080.94%
Singles /BIP25.17%÷1.000×0.680×1.026×1.00817.69%
Doubles /BIP6.12%÷1.000×0.600×1.026×1.0083.80%
Triples /BIP2.72%÷1.000×0.600×1.026×1.0081.69%
Home runs /BIP4.08%÷1.000×0.470—×1.0081.93%

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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .367 → .240; ISO .180 → .099; BABIP .350 → .233. 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).