Jeff Locke

P Miami Marlins

Age 39 LHP 6'0" / 200 lbs MLB

Overview

MLBSPLAST SEASON 2017

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2015	27	MLBPIT	30	30	168	4.49	3.72	17.5%	7.6%	3.4
2016	28	MLBPIT	30	19	127	5.44	4.63	12.9%	7.1%	1.1
2017	29	MIX3 levels	11	11	52	5.68	3.56	20.6%	6.0%	1.2	K 17.1% · BB 7.9% · FIP 4.18
2018	30	No MLB games played
2019	31	No MLB games played
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 5.7

Contract

No contract data on file.

Skills · percentileStatcast 2017

xwOBA vs16

K%15

FB Velo10

ERA—

FIP—

K%—

BB%—

K-BB%—

Proj IP—

Statcast · Contract

Statcast Percentiles

FB Velo

p1090.9

Whiff%

p1018.4%

p1517.1%

xwOBA vs

p160.352

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)
2011	23	MLB MLE	Pittsburgh Pirates	4	4	17	78	5	10	3	100%	4.2	6.4%	12.8%	-6.4%	4.2%	6.48	6.46	-0.2
2011	23	MLB RAW	Pittsburgh Pirates	4	4	17	78	5	10	3	100%	4.2	6.4%	12.8%	-6.4%	3.8%	6.48	6.64	-0.2
2012	24	MLB MLE	Pittsburgh Pirates	8	6	34	148	34	11	6	75%	4.3	23.0%	7.4%	15.5%	4.4%	5.50	4.51	+0.4
2012	24	MLB RAW	Pittsburgh Pirates	8	6	34	148	34	11	6	75%	4.3	23.0%	7.4%	15.5%	4.1%	5.50	4.35	+0.4
2013	25	MLB MLE	Pittsburgh Pirates	30	30	166	711	125	80	11	100%	5.5	17.6%	11.3%	6.3%	1.7%	3.52	3.96	+2.9
2013	25	MLB RAW	Pittsburgh Pirates	30	30	166	711	125	80	11	100%	5.5	17.6%	11.3%	6.3%	1.5%	3.52	3.90	+3.0
2014	26	MLB MLE	Pittsburgh Pirates	21	21	131	548	89	38	16	100%	6.3	16.2%	6.9%	9.3%	3.2%	3.91	4.34	+1.6
2014	26	MLB RAW	Pittsburgh Pirates	21	21	131	548	89	38	16	100%	6.3	16.2%	6.9%	9.3%	2.9%	3.91	4.20	+1.9
2015	27	MLB MLE	Pittsburgh Pirates	30	30	168	736	129	56	15	100%	5.6	17.5%	7.6%	9.9%	2.2%	4.49	3.79	+3.3
2015	27	MLB RAW	Pittsburgh Pirates	30	30	168	736	129	56	15	100%	5.6	17.5%	7.6%	9.9%	2.0%	4.49	3.72	+3.4
2016	28	MLB MLE	Pittsburgh Pirates	30	19	127	564	73	40	17	63%	4.2	12.9%	7.1%	5.9%	3.3%	5.44	4.69	+1.0
2016	28	MLB RAW	Pittsburgh Pirates	30	19	127	564	73	40	17	63%	4.2	12.9%	7.1%	5.9%	3.0%	5.44	4.63	+1.1
2017	29	MIX MLE	3 levels	11	11	52	233	48	14	6	100%	4.8	17.1%	7.9%	9.2%	2.8%	5.68	4.18	+0.8
2017	29	MIX RAW	3 levels	11	11	52	233	48	14	6	100%	4.8	20.6%	6.0%	14.6%	2.6%	5.68	3.56	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			130	117	676	2937	481	247	72	90%	5.2	16.4%	8.4%	8.0%	2.5%	4.59	4.16	+9.9
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		130	117	676	2937	481	247	72	90%	5.2	16.4%	8.4%	8.0%	2.5%	4.59	4.13	+10.2
/ 200 IP	—	RAW		38	35	200	869	142	73	21	90%	5.2	16.4%	8.4%	8.0%	2.5%	4.59	4.13	+3.0
Career	—	MLE		134	121	697	3018	495	253	80	90%	5.2	16.4%	8.4%	8.0%	2.6%	4.51	4.23	+9.9
/ 200 IP	—	MLE		38	35	200	866	142	73	23	90%	5.2	16.4%	8.4%	8.0%	2.6%	4.51	4.23	+2.9

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 AAJacksonville Jumbo Shrimp · 11 IPFIP 2.66 → 3.13 (+0.47)K% 25.0% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.810	20.25%
BB% (unintentional) /BF	4.17%	—	×1.100	4.58%
HR / BF /BF	2.08%	÷1.185	×1.200	2.11%

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 137).

Result: FIP 2.66 → 3.13, 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).

2017 A+Jupiter Hammerheads · 9 IPFIP 2.20 → 3.33 (+1.13)K% 30.3% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.30%	—	×0.770	23.33%
BB% (unintentional) /BF	0.00%	—	×1.150	0.00%
HR / BF /BF	3.03%	÷0.944	×1.250	4.01%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 89).

Result: FIP 2.20 → 3.33, 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).