Adam Wainwright

PosP

B/TR/R

Born1981-08-30

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

MLBSPLAST SEASON 2023

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2021	39	MLBSTL	32	32	206	3.05	3.42	21.0%	5.7%	5.0
2022	40	MLBSTL	32	32	192	3.71	3.52	17.8%	6.6%	4.4
2023	41	MIX3 levels	24	24	114	7.26	5.55	12.5%	7.9%	-0.2	K 11.4% · BB 8.5% · FIP 5.65
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR 9.3

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	35	MLBSTL	50	.262/.279/.452	2	0	75	-0.0
2019	37	MLBSTL	59	.160/.192/.220	0	0	-3	-0.6
2021	39	MLBSTL	74	.123/.167/.158	0	0	-30	-1.0
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR -1.7

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)
2005	23	MLB MLE	St. Louis Cardinals	2	0	2	9	0	1	1	0%	1.0	0.0%	11.1%	-11.1%	11.1%	13.50	10.61	-0.1
2005	23	MLB RAW	St. Louis Cardinals	2	0	2	9	0	1	1	0%	1.0	0.0%	11.1%	-11.1%	11.1%	13.50	11.10	-0.2
2006	24	MLB MLE	St. Louis Cardinals	61	0	75	309	72	20	6	0%	1.2	23.3%	6.5%	16.8%	1.9%	3.12	3.02	+1.4
2006	24	MLB RAW	St. Louis Cardinals	61	0	75	309	72	20	6	0%	1.2	23.3%	6.5%	16.8%	1.9%	3.12	3.02	+1.4
2007	25	MLB MLE	St. Louis Cardinals	32	32	202	882	136	66	13	100%	6.3	15.4%	7.5%	7.9%	1.5%	3.70	3.55	+4.6
2007	25	MLB RAW	St. Louis Cardinals	32	32	202	882	136	66	13	100%	6.3	15.4%	7.5%	7.9%	1.5%	3.70	3.57	+4.5
2008	26	MLB MLE	St. Louis Cardinals	20	20	132	544	91	33	12	100%	6.6	16.7%	6.1%	10.7%	2.2%	3.20	3.67	+2.8
2008	26	MLB RAW	St. Louis Cardinals	20	20	132	544	91	33	12	100%	6.6	16.7%	6.1%	10.7%	2.2%	3.20	3.65	+2.8
2009	27	MLB MLE	St. Louis Cardinals	34	34	233	970	212	65	17	100%	6.9	21.9%	6.7%	15.2%	1.8%	2.63	3.07	+6.9
2009	27	MLB RAW	St. Louis Cardinals	34	34	233	970	212	65	17	100%	6.9	21.9%	6.7%	15.2%	1.8%	2.63	3.07	+6.9
2010	28	MLB MLE	St. Louis Cardinals	33	33	230	910	213	54	15	100%	7.0	23.4%	5.9%	17.5%	1.8%	2.42	2.85	+7.6
2010	28	MLB RAW	St. Louis Cardinals	33	33	230	910	213	54	15	100%	7.0	23.4%	5.9%	17.5%	1.6%	2.42	2.80	+7.7
2012	30	MLB MLE	St. Louis Cardinals	32	32	199	831	184	49	15	100%	6.2	22.1%	5.9%	16.2%	1.9%	3.94	3.04	+5.9
2012	30	MLB RAW	St. Louis Cardinals	32	32	199	831	184	49	15	100%	6.2	22.1%	5.9%	16.2%	1.8%	3.94	2.97	+6.1
2013	31	MLB MLE	St. Louis Cardinals	34	34	242	956	219	33	15	100%	7.1	22.9%	3.5%	19.5%	1.7%	2.94	2.53	+9.1
2013	31	MLB RAW	St. Louis Cardinals	34	34	242	956	219	33	15	100%	7.1	22.9%	3.5%	19.5%	1.6%	2.94	2.50	+9.2
2014	32	MLB MLE	St. Louis Cardinals	32	32	227	898	179	45	10	100%	7.1	19.9%	5.0%	14.9%	1.2%	2.38	2.71	+7.9
2014	32	MLB RAW	St. Louis Cardinals	32	32	227	898	179	45	10	100%	7.1	19.9%	5.0%	14.9%	1.1%	2.38	2.69	+8.0
2015	33	MLB MLE	St. Louis Cardinals	7	4	28	111	20	4	0	57%	4.0	18.0%	3.6%	14.4%	0.0%	1.61	2.03	+1.2
2015	33	MLB RAW	St. Louis Cardinals	7	4	28	111	20	4	0	57%	4.0	18.0%	3.6%	14.4%	0.0%	1.61	2.10	+1.2
2016	34	MLB MLE	St. Louis Cardinals	33	33	199	847	161	55	22	100%	6.0	19.0%	6.5%	12.5%	2.8%	4.62	3.85	+3.7
2016	34	MLB RAW	St. Louis Cardinals	33	33	199	847	161	55	22	100%	6.0	19.0%	6.5%	12.5%	2.6%	4.62	3.75	+4.0
2017	35	MLB MLE	St. Louis Cardinals	24	23	123	546	96	41	14	96%	5.1	17.6%	7.5%	10.1%	2.8%	5.11	4.08	+1.9
2017	35	MLB RAW	St. Louis Cardinals	24	23	123	546	96	41	14	96%	5.1	17.6%	7.5%	10.1%	2.6%	5.11	4.02	+2.0
2018	36	MIX MLE	4 levels	15	15	62	262	65	21	5	100%	4.2	22.1%	9.4%	12.7%	3.0%	2.89	4.05	+1.0
2018	36	MIX RAW	4 levels	15	15	62	262	65	21	5	100%	4.2	24.8%	8.0%	16.8%	1.9%	2.89	3.07	+1.8
2019	37	MLB MLE	St. Louis Cardinals	31	31	172	745	153	57	22	100%	5.5	20.5%	7.7%	12.9%	3.2%	4.19	4.08	+2.7
2019	37	MLB RAW	St. Louis Cardinals	31	31	172	745	153	57	22	100%	5.5	20.5%	7.7%	12.9%	3.0%	4.19	3.98	+2.9
2020	38	MLB MLE	St. Louis Cardinals	10	10	66	262	54	15	9	100%	6.6	20.6%	5.7%	14.9%	3.7%	3.15	4.11	+1.0
2020	38	MLB RAW	St. Louis Cardinals	10	10	66	262	54	15	9	100%	6.6	20.6%	5.7%	14.9%	3.4%	3.15	3.92	+1.2
2021	39	MLB MLE	St. Louis Cardinals	32	32	206	828	174	47	21	100%	6.4	21.0%	5.7%	15.3%	2.7%	3.05	3.54	+4.7
2021	39	MLB RAW	St. Louis Cardinals	32	32	206	828	174	47	21	100%	6.4	21.0%	5.7%	15.3%	2.5%	3.05	3.42	+5.0
2022	40	MLB MLE	St. Louis Cardinals	32	32	192	803	143	53	16	100%	6.0	17.8%	6.6%	11.2%	2.1%	3.71	3.61	+4.2
2022	40	MLB RAW	St. Louis Cardinals	32	32	192	803	143	53	16	100%	6.0	17.8%	6.6%	11.2%	2.0%	3.71	3.52	+4.4
2023	41	MIX MLE	3 levels	24	24	114	542	68	43	22	100%	4.8	11.4%	8.5%	2.9%	4.4%	7.26	5.65	-0.3
2023	41	MIX RAW	3 levels	24	24	114	542	68	43	22	100%	4.8	12.5%	7.9%	4.6%	4.1%	7.26	5.55	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			478	411	2668	11116	2202	696	233	86%	5.6	19.8%	6.3%	13.5%	2.1%	3.53	3.37	+66.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		478	411	2668	11116	2202	696	233	86%	5.6	19.8%	6.3%	13.5%	2.1%	3.53	3.37	+66.6
/ 200 IP	—	RAW		36	31	200	833	165	52	17	86%	5.6	19.8%	6.3%	13.5%	2.1%	3.53	3.37	+5.0
Career	—	MLE		488	421	2703	11255	2226	709	252	86%	5.5	19.8%	6.3%	13.5%	2.2%	3.52	3.46	+66.7
/ 200 IP	—	MLE		36	31	200	833	165	52	19	86%	5.5	19.8%	6.3%	13.5%	2.2%	3.52	3.46	+5.0

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 AASpringfield Cardinals · 7 IPFIP 4.12 → 4.54 (+0.42)K% 12.1% → 9.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.12%	—	×0.810	9.82%
BB% (unintentional) /BF	3.03%	—	×1.100	3.33%
HR / BF /BF	3.03%	÷1.080	×1.200	3.37%

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 116).

Result: FIP 4.12 → 4.54, 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).

2023 AAAMemphis Redbirds · 6 IPFIP 2.76 → 3.47 (+0.71)K% 36.0% → 31.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.00%	—	×0.860	30.96%
BB% (unintentional) /BF	4.00%	—	×0.900	3.60%
HR / BF /BF	4.00%	÷0.955	×1.100	4.61%

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 91).

Result: FIP 2.76 → 3.47, 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).

2018 AAAMemphis Redbirds · 9 IPFIP 1.93 → 2.31 (+0.38)K% 30.6% → 26.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.56%	—	×0.880	26.89%
BB% (unintentional) /BF	11.11%	—	×1.050	11.67%
HR / BF /BF	0.00%	÷0.909	×1.100	0.00%

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 82).

Result: FIP 1.93 → 2.31, 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).

2018 AASpringfield Cardinals · 10 IPFIP 0.99 → 1.39 (+0.40)K% 25.0% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.810	20.25%
BB% (unintentional) /BF	0.00%	—	×1.100	0.00%
HR / BF /BF	0.00%	÷1.215	×1.200	0.00%

Result: FIP 0.99 → 1.39, 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).