Jake Peavy

PosP

B/TR/R

Born1981-05-31

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

MLBSPLAST SEASON 2016

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2014	33	MLBSF	32	32	203	3.73	3.92	18.5%	7.2%	3.6
2015	34	MIX3 levels	26	26	146	4.06	3.80	18.2%	5.6%	2.8	K 17.3% · BB 5.7% · FIP 4.07
2016	35	MLBSF	31	21	119	5.54	4.24	19.6%	6.7%	1.6
2017	36	No MLB games played
2018	37	No MLB games played
2019	38	No MLB games played
2020	39	No MLB games played
2021	40	No MLB games played
2022	41	No MLB games played
2023	42	No MLB games played
2024	43	No MLB games played
2025	44	No MLB games played
2026	45	No MLB games played

Last 3 seasons WAR 8.0

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2014	33	MLBSF	24	.000/.000/.000	0	0	-114	-0.6
2015	34	MLBSF	41	.194/.216/.333	1	0	38	-0.2
2016	35	MLBSF	31	.185/.241/.185	0	0	17	-0.2
2017	36	No MLB games played
2018	37	No MLB games played
2019	38	No MLB games played
2020	39	No MLB games played
2021	40	No MLB games played
2022	41	No MLB games played
2023	42	No MLB games played
2024	43	No MLB games played
2025	44	No MLB games played
2026	45	No MLB games played

Last 3 seasons WAR -1.0

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.

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)
2002	21	MLB MLE	San Diego Padres	17	17	98	430	90	29	11	100%	5.7	20.9%	6.7%	14.2%	2.6%	4.52	3.59	+2.2
2002	21	MLB RAW	San Diego Padres	17	17	98	430	90	29	11	100%	5.7	20.9%	6.7%	14.2%	2.6%	4.52	3.61	+2.1
2003	22	MLB MLE	San Diego Padres	32	32	195	827	156	79	33	100%	6.1	18.9%	9.6%	9.3%	4.0%	4.11	4.91	+1.1
2003	22	MLB RAW	San Diego Padres	32	32	195	827	156	79	33	100%	6.1	18.9%	9.6%	9.3%	4.0%	4.11	4.92	+1.1
2004	23	MLB MLE	San Diego Padres	27	27	166	694	173	49	13	100%	6.2	24.9%	7.1%	17.9%	1.9%	2.27	2.92	+5.2
2004	23	MLB RAW	San Diego Padres	27	27	166	694	173	49	13	100%	6.2	24.9%	7.1%	17.9%	1.9%	2.27	2.92	+5.2
2005	24	MLB MLE	San Diego Padres	30	30	203	812	216	47	18	100%	6.8	26.6%	5.8%	20.8%	2.2%	2.88	2.80	+6.8
2005	24	MLB RAW	San Diego Padres	30	30	203	812	216	47	18	100%	6.8	26.6%	5.8%	20.8%	2.2%	2.88	2.82	+6.7
2006	25	MLB MLE	San Diego Padres	32	32	202	846	215	51	23	100%	6.3	25.4%	6.0%	19.4%	2.7%	4.09	3.21	+5.5
2006	25	MLB RAW	San Diego Padres	32	32	202	846	215	51	23	100%	6.3	25.4%	6.0%	19.4%	2.7%	4.09	3.21	+5.5
2007	26	MLB MLE	San Diego Padres	34	34	223	898	240	63	13	100%	6.6	26.7%	7.0%	19.7%	1.4%	2.54	2.53	+8.4
2007	26	MLB RAW	San Diego Padres	34	34	223	898	240	63	13	100%	6.6	26.7%	7.0%	19.7%	1.4%	2.54	2.55	+8.3
2008	27	MLB MLE	San Diego Padres	27	27	174	709	166	58	17	100%	6.4	23.4%	8.2%	15.2%	2.4%	2.85	3.48	+4.1
2008	27	MLB RAW	San Diego Padres	27	27	174	709	166	58	17	100%	6.4	23.4%	8.2%	15.2%	2.4%	2.85	3.46	+4.1
2009	28	MLB MLE	Chicago White Sox	16	16	102	410	110	34	8	100%	6.4	26.8%	8.3%	18.5%	2.0%	3.45	2.96	+3.2
2009	28	MLB RAW	Chicago White Sox	16	16	102	410	110	34	8	100%	6.4	26.8%	8.3%	18.5%	2.0%	3.45	2.96	+3.1
2010	29	MLB MLE	Chicago White Sox	17	17	107	450	93	32	13	100%	6.3	20.7%	7.1%	13.6%	2.8%	4.63	3.81	+2.0
2010	29	MLB RAW	Chicago White Sox	17	17	107	450	93	32	13	100%	6.3	20.7%	7.1%	13.6%	2.9%	4.63	3.84	+2.0
2011	30	MLB MLE	Chicago White Sox	19	18	112	470	95	20	10	95%	5.9	20.2%	4.3%	16.0%	2.1%	4.92	3.08	+3.2
2011	30	MLB RAW	Chicago White Sox	19	18	112	470	95	20	10	95%	5.9	20.2%	4.3%	16.0%	2.1%	4.92	3.10	+3.2
2012	31	MLB MLE	Chicago White Sox	32	32	219	882	194	48	27	100%	6.8	22.0%	5.4%	16.6%	3.0%	3.37	3.58	+4.9
2012	31	MLB RAW	Chicago White Sox	32	32	219	882	194	48	27	100%	6.8	22.0%	5.4%	16.6%	3.1%	3.37	3.59	+4.9
2013	32	MLB MLE	Boston Red Sox	23	23	145	590	121	36	20	100%	6.3	20.5%	6.1%	14.4%	3.5%	4.17	4.05	+2.3
2013	32	MLB RAW	Boston Red Sox	23	23	145	590	121	36	20	100%	6.3	20.5%	6.1%	14.4%	3.4%	4.17	3.97	+2.5
2014	33	MLB MLE	San Francisco Giants	32	32	203	852	158	61	23	100%	6.3	18.5%	7.2%	11.4%	2.9%	3.73	4.04	+3.3
2014	33	MLB RAW	San Francisco Giants	32	32	203	852	158	61	23	100%	6.3	18.5%	7.2%	11.4%	2.7%	3.73	3.92	+3.6
2015	34	MIX MLE	3 levels	26	26	146	604	110	34	17	100%	5.6	17.3%	5.7%	11.7%	3.1%	4.06	4.07	+2.3
2015	34	MIX RAW	3 levels	26	26	146	604	110	34	17	100%	5.6	18.2%	5.6%	12.6%	2.8%	4.06	3.80	+2.8
2016	35	MLB MLE	San Francisco Giants	31	21	119	520	102	35	18	68%	3.8	19.6%	6.7%	12.9%	3.7%	5.54	4.35	+1.5
2016	35	MLB RAW	San Francisco Giants	31	21	119	520	102	35	18	68%	3.8	19.6%	6.7%	12.9%	3.5%	5.54	4.24	+1.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			388	377	2377	9838	2207	666	259	97%	6.1	22.4%	6.8%	15.7%	2.6%	3.63	3.50	+55.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		388	377	2377	9838	2207	666	259	97%	6.1	22.4%	6.8%	15.7%	2.6%	3.63	3.51	+55.1
/ 200 IP	—	RAW		33	32	200	828	186	56	22	97%	6.1	22.4%	6.8%	15.7%	2.6%	3.63	3.51	+4.6
Career	—	MLE		395	384	2413	9994	2234	676	269	97%	6.1	22.4%	6.8%	15.6%	2.7%	3.66	3.55	+55.4
/ 200 IP	—	MLE		33	32	200	828	185	56	22	97%	6.1	22.4%	6.8%	15.6%	2.7%	3.66	3.55	+4.7

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.

2015 AAASacramento River Cats · 32 IPFIP 4.16 → 4.62 (+0.47)K% 19.4% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.44%	—	×0.880	17.11%
BB% (unintentional) /BF	6.25%	—	×1.050	6.56%
HR / BF /BF	3.47%	÷0.982	×1.100	3.89%

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 96).

Result: FIP 4.16 → 4.62, 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).