Clayton Richard

PosP

B/TL/L

Born1983-09-12

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBSPLAST SEASON 2019

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2017	33	MLBSD	32	32	197	4.79	3.96	17.6%	6.2%	3.4
2018	34	MLBSD	27	27	159	5.33	4.41	15.8%	8.7%	1.8
2019	35	MIX2 levels	12	12	51	5.86	5.84	12.1%	9.4%	-0.2	K 10.9% · BB 9.0% · FIP 5.77
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR 5.0

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2016	32	MLBSD	21	.059/.111/.059	0	0	-62	-0.4
2017	33	MLBSD	68	.123/.167/.193	1	0	-13	-0.8
2018	34	MLBSD	51	.095/.156/.190	1	0	-16	-0.6
2019	35	No MLB games played
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -1.8

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)
2008	24	MLB MLE	Chicago White Sox	13	8	48	215	29	11	5	62%	3.7	13.5%	5.1%	8.4%	2.3%	6.04	3.89	+0.9
2008	24	MLB RAW	Chicago White Sox	13	8	48	215	29	11	5	62%	3.7	13.5%	5.1%	8.4%	2.3%	6.04	3.94	+0.8
2009	25	MLB MLE	San Diego Padres	38	26	153	663	114	71	17	68%	4.0	17.2%	10.7%	6.5%	2.6%	4.41	4.41	+1.8
2009	25	MLB RAW	San Diego Padres	38	26	153	663	114	71	17	68%	4.0	17.2%	10.7%	6.5%	2.6%	4.41	4.45	+1.7
2010	26	MLB MLE	San Diego Padres	33	33	202	861	153	72	16	100%	6.1	17.8%	8.4%	9.4%	1.8%	3.75	3.65	+4.3
2010	26	MLB RAW	San Diego Padres	33	33	202	861	153	72	16	100%	6.1	17.8%	8.4%	9.4%	1.9%	3.75	3.69	+4.2
2011	27	MLB MLE	San Diego Padres	18	18	100	427	53	36	8	100%	5.5	12.4%	8.4%	4.0%	1.8%	3.88	4.12	+1.5
2011	27	MLB RAW	San Diego Padres	18	18	100	427	53	36	8	100%	5.5	12.4%	8.4%	4.0%	1.9%	3.88	4.16	+1.5
2012	28	MLB MLE	San Diego Padres	33	33	219	910	107	38	31	100%	6.6	11.8%	4.2%	7.6%	3.3%	3.99	4.46	+2.4
2012	28	MLB RAW	San Diego Padres	33	33	219	910	107	38	31	100%	6.6	11.8%	4.2%	7.6%	3.4%	3.99	4.49	+2.3
2013	29	MLB MLE	San Diego Padres	12	11	53	239	24	20	13	92%	4.4	10.0%	8.4%	1.7%	5.3%	7.01	6.22	-0.5
2013	29	MLB RAW	San Diego Padres	12	11	53	239	24	20	13	92%	4.4	10.0%	8.4%	1.7%	5.4%	7.01	6.54	-0.7
2015	31	MIX MLE	3 levels	34	14	111	466	56	19	6	41%	3.3	10.8%	4.2%	6.5%	1.5%	2.51	3.56	+1.3
2015	31	MIX RAW	3 levels	34	14	111	466	56	19	6	41%	3.3	12.0%	4.1%	7.9%	1.3%	2.51	3.31	+1.7
2016	32	MIX MLE	3 levels	40	13	80	351	51	30	4	32%	2.0	13.4%	9.2%	4.2%	1.3%	3.14	3.83	+0.7
2016	32	MIX RAW	3 levels	40	13	80	351	51	30	4	32%	2.0	14.5%	8.5%	6.0%	1.1%	3.14	3.60	+0.9
2017	33	MLB MLE	San Diego Padres	32	32	197	858	151	53	24	100%	6.2	17.6%	6.2%	11.4%	2.7%	4.79	3.89	+3.6
2017	33	MLB RAW	San Diego Padres	32	32	197	858	151	53	24	100%	6.2	17.6%	6.2%	11.4%	2.8%	4.79	3.96	+3.4
2018	34	MLB MLE	San Diego Padres	27	27	159	682	108	59	19	100%	5.9	15.8%	8.7%	7.2%	2.7%	5.33	4.35	+1.9
2018	34	MLB RAW	San Diego Padres	27	27	159	682	108	59	19	100%	5.9	15.8%	8.7%	7.2%	2.8%	5.33	4.41	+1.8
2019	35	MIX MLE	2 levels	12	12	51	224	27	21	10	100%	4.2	10.9%	9.0%	2.0%	4.5%	5.86	5.77	-0.2
2019	35	MIX RAW	2 levels	12	12	51	224	27	21	10	100%	4.2	12.1%	9.4%	2.7%	4.5%	5.86	5.84	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			275	210	1285	5543	824	412	149	76%	4.7	14.9%	7.4%	7.4%	2.7%	4.51	4.29	+16.8
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		275	210	1285	5543	824	412	149	76%	4.7	14.9%	7.4%	7.4%	2.7%	4.51	4.26	+17.2
/ 200 IP	—	RAW		43	33	200	863	128	64	23	76%	4.7	14.9%	7.4%	7.4%	2.7%	4.51	4.26	+2.7
Career	—	MLE		292	227	1372	5896	861	432	152	78%	4.7	14.6%	7.3%	7.3%	2.6%	4.35	4.21	+16.8
/ 200 IP	—	MLE		43	33	200	860	125	63	22	78%	4.7	14.6%	7.3%	7.3%	2.6%	4.35	4.21	+2.6

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.

2019 AAABuffalo Bisons · 5 IPFIP 5.30 → 5.85 (+0.54)K% 21.7% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.74%	—	×0.880	19.13%
BB% (unintentional) /BF	13.04%	—	×1.050	13.70%
HR / BF /BF	4.35%	÷1.000	×1.100	4.78%

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 100).

Result: FIP 5.30 → 5.85, 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).

2016 AATennessee Smokies · 8 IPFIP 1.59 → 1.88 (+0.29)K% 17.9% → 14.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.86%	—	×0.810	14.46%
BB% (unintentional) /BF	0.00%	—	×1.100	0.00%
HR / BF /BF	0.00%	÷1.059	×1.200	0.00%

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 112).

Result: FIP 1.59 → 1.88, 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 AAAIowa Cubs · 63 IPFIP 3.38 → 3.64 (+0.27)K% 11.1% → 9.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	11.11%	—	×0.880	9.78%
BB% (unintentional) /BF	4.60%	—	×1.050	4.83%
HR / BF /BF	1.15%	÷0.916	×1.100	1.38%

Result: FIP 3.38 → 3.64, 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 A+Bradenton Marauders · 6 IPFIP 1.87 → 2.35 (+0.48)K% 20.8% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.83%	—	×0.770	16.04%
BB% (unintentional) /BF	4.17%	—	×1.150	4.79%
HR / BF /BF	0.00%	÷0.974	×1.250	0.00%

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 95).

Result: FIP 1.87 → 2.35, 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).