Jimmy Nelson

P Oklahoma City Dodgers

Age 38 RHP 6'6" / 250 lbs AAA

Overview

AAARPLAST SEASON 2023

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2019	30	MIX3 levels	27	7	63	5.54	3.98	29.2%	13.9%	0.4	K 26.9% · BB 14.6% · FIP 4.28
2021	32	MLBLAD	28	1	29	1.86	1.41	37.9%	11.2%	1.1
2023	34	MIX2 levels	33	2	31	4.40	4.63	26.2%	22.1%	—	K 22.2% · BB 21.1% · FIP 4.82
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 1.5

Contract

No contract data on file.

Skills · percentileStatcast 2021

K%90

xwOBA vs90

FB Velo40

ERA—

FIP—

K%—

BB%—

K-BB%—

Proj IP—

Statcast · Contract

Statcast Percentiles

FB Velo

p4093.8

Whiff%

p9037.6%

p9037.9%

xwOBA vs

p900.229

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.

show model inputsbasis 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.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	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)
2013	24	MLB MLE	Milwaukee Brewers	4	1	10	37	8	5	0	25%	2.5	21.6%	13.5%	8.1%	0.0%	0.90	2.99	+0.2
2013	24	MLB RAW	Milwaukee Brewers	4	1	10	37	8	5	0	25%	2.5	21.6%	13.5%	8.1%	0.0%	0.90	3.00	+0.2
2014	25	MLB MLE	Milwaukee Brewers	14	12	69	311	57	19	6	86%	5.0	18.3%	6.1%	12.2%	1.8%	4.93	3.33	+1.8
2014	25	MLB RAW	Milwaukee Brewers	14	12	69	311	57	19	6	86%	5.0	18.3%	6.1%	12.2%	1.9%	4.93	3.40	+1.7
2015	26	MLB MLE	Milwaukee Brewers	30	30	177	752	148	61	18	100%	5.9	19.7%	8.1%	11.6%	2.3%	4.11	3.72	+3.6
2015	26	MLB RAW	Milwaukee Brewers	30	30	177	752	148	61	18	100%	5.9	19.7%	8.1%	11.6%	2.4%	4.11	3.78	+3.5
2016	27	MLB MLE	Milwaukee Brewers	32	32	179	807	140	84	25	100%	5.6	17.3%	10.4%	6.9%	3.0%	4.62	4.57	+1.7
2016	27	MLB RAW	Milwaukee Brewers	32	32	179	807	140	84	25	100%	5.6	17.3%	10.4%	6.9%	3.1%	4.62	4.76	+1.3
2017	28	MLB MLE	Milwaukee Brewers	29	29	175	728	199	47	16	100%	6.0	27.3%	6.5%	20.9%	2.1%	3.49	2.76	+5.9
2017	28	MLB RAW	Milwaukee Brewers	29	29	175	728	199	47	16	100%	6.0	27.3%	6.5%	20.9%	2.2%	3.49	2.82	+5.8
2019	30	MIX MLE	3 levels	27	7	63	288	84	40	8	26%	2.3	26.9%	14.6%	12.4%	2.9%	5.54	4.28	+0.2
2019	30	MIX RAW	3 levels	27	7	63	288	84	40	8	26%	2.3	29.2%	13.9%	15.3%	2.8%	5.54	3.98	+0.4
2021	32	MLB MLE	Los Angeles Dodgers	28	1	29	116	44	13	0	4%	1.0	37.9%	11.2%	26.7%	0.0%	1.86	1.32	+1.1
2021	32	MLB RAW	Los Angeles Dodgers	28	1	29	116	44	13	0	4%	1.0	37.9%	11.2%	26.7%	0.0%	1.86	1.41	+1.1
2023	34	MIX MLE	2 levels	33	2	31	149	39	33	2	6%	0.9	22.2%	21.1%	1.0%	1.7%	4.40	4.82	—
2023	34	MIX RAW	2 levels	33	2	31	149	39	33	2	6%	0.9	26.2%	22.1%	4.0%	1.3%	4.40	4.63	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			147	108	662	2856	622	245	69	73%	4.5	21.8%	8.6%	13.2%	2.4%	4.12	3.69	+13.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		147	108	662	2856	622	245	69	73%	4.5	21.8%	8.6%	13.2%	2.4%	4.12	3.67	+13.8
/ 200 IP	—	RAW		44	33	200	862	188	74	21	73%	4.5	21.8%	8.6%	13.2%	2.4%	4.12	3.67	+4.2
Career	—	MLE		197	114	734	3188	707	302	73	58%	3.7	22.2%	9.5%	12.7%	2.3%	4.17	3.68	+13.6
/ 200 IP	—	MLE		54	31	200	868	192	82	20	58%	3.7	22.2%	9.5%	12.7%	2.3%	4.17	3.68	+4.1

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.

2023 AAAOklahoma City Dodgers · 27 IPFIP 4.73 → 4.82 (+0.08)K% 25.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.76%	—	×0.860	22.15%
BB% (unintentional) /BF	23.48%	—	×0.900	21.14%
HR / BF /BF	1.52%	÷1.006	×1.100	1.66%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, 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 101).

Result: FIP 4.73 → 4.82, 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).

2019 AAASan Antonio Missions · 40 IPFIP 3.34 → 3.90 (+0.57)K% 32.0% → 28.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.02%	—	×0.880	28.18%
BB% (unintentional) /BF	13.48%	—	×1.050	14.16%
HR / BF /BF	2.25%	÷0.977	×1.100	2.53%

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 95).

Result: FIP 3.34 → 3.90, 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).