Jerome Williams

P Memphis Redbirds
Age 45 RHP 6'3" / 260 lbs AAA
Overview
AAARPLAST SEASON 2016
YearAgeLvl / TeamGGSIPERAFIPK%BB%WARMLE rates
201432MLBPHI37111154.773.9216.5%6.8%0.9
201533MIX3 levels36241375.604.7914.1%5.0%1.0K 13.4% · BB 5.6% · FIP 4.72
201634MIX2 levels209745.095.3613.0%5.9%-0.7K 11.7% · BB 6.1% · FIP 5.81
201735No MLB games played
201836No MLB games played
201937No MLB games played
202038No MLB games played
202139No MLB games played
202240No MLB games played
202341No MLB games played
202442No MLB games played
202543No MLB games played
202644No MLB games played
Last 3 seasons WAR 1.1
Contract
No contract data on file.
Skills · percentileStatcast 2016
xwOBA vs19
FB Velo10
K%10
ERA—
FIP—
K%—
BB%—
K-BB%—
Proj IP—
Statcast · Contract
Statcast Percentiles
FB Velo
p1090.4
Whiff%
p2221.4%
K%
p109.9%
xwOBA vs
p190.349

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
200321MLB MLESan Francisco Giants2121131545884610100%6.216.1%8.4%7.7%1.8%3.303.81+2.5
200321MLB RAWSan Francisco Giants2121131545884610100%6.216.1%8.4%7.7%1.8%3.303.80+2.5
200422MLB MLESan Francisco Giants2222129559804314100%5.914.3%7.7%6.6%2.5%4.244.24+1.8
200422MLB RAWSan Francisco Giants2222129559804314100%5.914.3%7.7%6.6%2.5%4.244.27+1.7
200523MLB MLEChicago Cubs222012353270481491%5.613.2%9.0%4.1%2.6%4.264.58+1.2
200523MLB RAWChicago Cubs222012353270481491%5.613.2%9.0%4.1%2.6%4.264.62+1.1
200624MLB MLEChicago Cubs521261510240%2.58.2%16.4%-8.2%3.3%7.306.28-0.2
200624MLB RAWChicago Cubs521261510240%2.58.2%16.4%-8.2%3.3%7.306.83-0.3
200725MLB MLEWashington Nationals663014015186100%5.010.7%12.9%-2.1%4.3%7.206.18-0.3
200725MLB RAWWashington Nationals663014015186100%5.010.7%12.9%-2.1%4.3%7.206.50-0.4
201129MLB MLELos Angeles Angels106441842815660%4.415.2%8.2%7.1%3.2%3.684.60+0.4
201129MLB RAWLos Angeles Angels106441842815660%4.415.2%8.2%7.1%3.3%3.684.62+0.4
201230MLB MLELos Angeles Angels321513857298341747%4.317.1%5.9%11.2%2.9%4.584.01+0.9
201230MLB RAWLos Angeles Angels321513857298341747%4.317.1%5.9%11.2%3.0%4.584.02+0.9
201331MLB MLELos Angeles Angels3725169728107532368%4.614.7%7.3%7.4%3.1%4.574.48+1.8
201331MLB RAWLos Angeles Angels3725169728107532368%4.614.7%7.3%7.4%3.2%4.574.54+1.7
201432MLB MLEPhiladelphia Phillies371111549782341230%3.116.5%6.8%9.7%2.3%4.773.81+1.0
201432MLB RAWPhiladelphia Phillies371111549782341230%3.116.5%6.8%9.7%2.4%4.773.92+0.9
201533MIX MLE3 levels362413761687312467%3.813.4%5.6%7.8%3.7%5.604.72+1.1
201533MIX RAW3 levels362413761687312467%3.814.1%5.0%9.1%3.9%5.604.79+1.0
201634MIX MLE2 levels2097432442191545%3.711.7%6.1%5.6%5.3%5.095.81-1.1
201634MIX RAW2 levels2097432442191545%3.713.0%5.9%7.1%4.6%5.095.36-0.7
▸ Career totals (raw MLB only — as recorded)
MLB Career—2361491030445265533713063%4.414.7%7.6%7.1%2.9%4.594.45+11.4
▸ Career totals — MLB only (actual + projected)
Career— RAW2361491030445265533713063%4.414.7%7.6%7.1%2.9%4.594.42+11.8
/ 200 IP— RAW4629200865127652563%4.414.7%7.6%7.1%2.9%4.594.42+2.3
Career— MLE2481611102475869335514265%4.414.6%7.5%7.1%3.0%4.604.46+11.4
/ 200 IP— MLE4529200863126642665%4.414.6%7.5%7.1%3.0%4.604.46+2.2

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.

2016 AAAMemphis Redbirds · 57 IPFIP 5.13 → 5.76 (+0.63)K% 14.0% → 12.3%
ComponentRawPark ÷Level factor ×= MLE
K% /BF13.99%—×0.88012.31%
BB% (unintentional) /BF5.76%—×1.0506.05%
HR / BF /BF4.53%÷0.931×1.1005.35%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 86).

Result: FIP 5.13 → 5.76, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2015 AAReading Fightin Phils · 12 IPFIP 2.81 → 3.32 (+0.51)K% 18.2% → 14.7%
ComponentRawPark ÷Level factor ×= MLE
K% /BF18.18%—×0.81014.73%
BB% (unintentional) /BF0.00%—×1.1000.00%
HR / BF /BF2.27%÷1.021×1.2002.67%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 104).

Result: FIP 2.81 → 3.32, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).