Stephen Strasburg

PosP

B/TR/R

Born1988-07-20

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

MLBSPLAST SEASON 2022

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2020	32	MLBWSH	2	2	5	10.80	5.50	8.7%	4.3%	-0.0
2021	33	MIX2 levels	6	6	26	3.81	4.64	24.3%	12.6%	0.2	K 22.1% · BB 12.6% · FIP 5.14
2022	34	MIX3 levels	4	4	18	4.91	3.15	24.3%	10.8%	0.5	K 24.3% · BB 10.8% · FIP 3.16
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 0.7

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2017	29	MLBWSH	60	.130/.161/.241	2	0	0	-0.6
2018	30	MLBWSH	51	.122/.163/.122	0	0	-35	-0.7
2019	31	MLBWSH	80	.167/.200/.222	1	0	9	-0.7
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 -2.0

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)
2010	22	MLB MLE	Washington Nationals	12	12	68	274	92	17	5	100%	5.7	33.6%	6.2%	27.4%	1.8%	2.91	2.05	+3.0
2010	22	MLB RAW	Washington Nationals	12	12	68	274	92	17	5	100%	5.7	33.6%	6.2%	27.4%	1.8%	2.91	2.10	+3.0
2011	23	MLB MLE	Washington Nationals	5	5	24	88	24	2	0	100%	4.8	27.3%	2.3%	25.0%	0.0%	1.50	1.08	+1.4
2011	23	MLB RAW	Washington Nationals	5	5	24	88	24	2	0	100%	4.8	27.3%	2.3%	25.0%	0.0%	1.50	1.35	+1.3
2012	24	MLB MLE	Washington Nationals	28	28	159	653	197	47	15	100%	5.7	30.2%	7.2%	23.0%	2.3%	3.16	2.72	+5.4
2012	24	MLB RAW	Washington Nationals	28	28	159	653	197	47	15	100%	5.7	30.2%	7.2%	23.0%	2.3%	3.16	2.74	+5.4
2013	25	MLB MLE	Washington Nationals	30	30	183	731	191	55	16	100%	6.1	26.1%	7.5%	18.6%	2.2%	3.00	3.05	+5.4
2013	25	MLB RAW	Washington Nationals	30	30	183	731	191	55	16	100%	6.1	26.1%	7.5%	18.6%	2.2%	3.00	3.05	+5.4
2014	26	MLB MLE	Washington Nationals	34	34	215	868	242	39	23	100%	6.3	27.9%	4.5%	23.4%	2.6%	3.14	2.77	+7.3
2014	26	MLB RAW	Washington Nationals	34	34	215	868	242	39	23	100%	6.3	27.9%	4.5%	23.4%	2.6%	3.14	2.78	+7.2
2015	27	MIX MLE	3 levels	26	26	142	581	177	27	14	100%	5.5	29.6%	5.0%	24.7%	2.7%	3.49	2.70	+4.9
2015	27	MIX RAW	3 levels	26	26	142	581	177	27	14	100%	5.5	30.5%	4.6%	25.8%	2.4%	3.49	2.46	+5.4
2016	28	MLB MLE	Washington Nationals	24	24	148	598	183	43	15	100%	6.2	30.6%	7.2%	23.4%	2.5%	3.60	2.80	+4.9
2016	28	MLB RAW	Washington Nationals	24	24	148	598	183	43	15	100%	6.2	30.6%	7.2%	23.4%	2.5%	3.60	2.82	+4.9
2017	29	MIX MLE	2 levels	29	29	180	720	209	43	13	100%	6.2	29.1%	6.0%	23.1%	1.9%	2.50	2.42	+7.0
2017	29	MIX RAW	2 levels	29	29	180	720	209	43	13	100%	6.2	29.0%	6.0%	23.1%	1.8%	2.50	2.43	+7.0
2018	30	MIX MLE	2 levels	24	24	139	582	168	37	19	100%	5.8	28.7%	6.6%	22.1%	3.3%	3.56	3.33	+3.5
2018	30	MIX RAW	2 levels	24	24	139	582	168	37	19	100%	5.8	28.9%	6.4%	22.5%	3.3%	3.56	3.26	+3.7
2019	31	MLB MLE	Washington Nationals	33	33	209	841	251	52	24	100%	6.3	29.8%	6.2%	23.7%	2.9%	3.32	2.93	+6.6
2019	31	MLB RAW	Washington Nationals	33	33	209	841	251	52	24	100%	6.3	29.8%	6.2%	23.7%	2.9%	3.32	2.94	+6.5
2020	32	MLB MLE	Washington Nationals	2	2	5	23	2	1	1	100%	2.5	8.7%	4.3%	4.3%	4.3%	10.80	5.30	+0.0
2020	32	MLB RAW	Washington Nationals	2	2	5	23	2	1	1	100%	2.5	8.7%	4.3%	4.3%	4.3%	10.80	5.50	-0.0
2021	33	MIX MLE	2 levels	6	6	26	111	27	14	4	100%	4.3	22.1%	12.6%	9.5%	4.2%	3.81	5.14	+0.1
2021	33	MIX RAW	2 levels	6	6	26	111	27	14	4	100%	4.3	24.3%	12.6%	11.7%	3.6%	3.81	4.64	+0.2
2022	34	MIX MLE	3 levels	4	4	18	74	18	8	1	100%	4.6	24.3%	10.8%	13.5%	1.4%	4.91	3.16	+0.5
2022	34	MIX RAW	3 levels	4	4	18	74	18	8	1	100%	4.6	24.3%	10.8%	13.5%	1.4%	4.91	3.15	+0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			247	247	1470	5962	1723	374	149	100%	6.0	28.9%	6.3%	22.6%	2.5%	3.24	2.84	+47.9
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		247	247	1470	5962	1723	374	149	100%	6.0	28.9%	6.3%	22.6%	2.5%	3.24	2.83	+48.1
/ 200 IP	—	RAW		34	34	200	811	234	51	20	100%	6.0	28.9%	6.3%	22.6%	2.5%	3.24	2.83	+6.5
Career	—	MLE		257	257	1517	6144	1773	389	153	100%	5.9	28.9%	6.3%	22.5%	2.5%	3.21	2.83	+47.9
/ 200 IP	—	MLE		34	34	200	810	234	51	20	100%	5.9	28.9%	6.3%	22.5%	2.5%	3.21	2.83	+6.5

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.

2022 AFredericksburg Nationals · 8 IPFIP 2.69 → 3.70 (+1.01)K% 29.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.03%	—	×0.740	21.48%
BB% (unintentional) /BF	16.13%	—	×1.180	19.03%
HR / BF /BF	0.00%	÷1.074	×1.300	0.00%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 115).

Result: FIP 2.69 → 3.70, 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).

2022 AAARochester Red Wings · 6 IPFIP 2.04 → 2.28 (+0.23)K% 20.0% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.880	17.60%
BB% (unintentional) /BF	5.00%	—	×1.050	5.25%
HR / BF /BF	0.00%	÷1.084	×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 117).

Result: FIP 2.04 → 2.28, 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 A+Potomac Nationals · 9 IPFIP 2.21 → 3.20 (+0.99)K% 31.6% → 24.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.58%	—	×0.770	24.32%
BB% (unintentional) /BF	2.63%	—	×1.150	3.03%
HR / BF /BF	2.63%	÷1.017	×1.250	3.23%

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 103).

Result: FIP 2.21 → 3.20, 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 AAASyracuse Chiefs · 10 IPFIP -0.12 → 0.32 (+0.44)K% 42.1% → 37.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.11%	—	×0.880	37.05%
BB% (unintentional) /BF	2.63%	—	×1.050	2.76%
HR / BF /BF	0.00%	÷1.183	×1.100	0.00%

Result: FIP -0.12 → 0.32, 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 AAHarrisburg Senators · 5 IPFIP 0.57 → 1.05 (+0.48)K% 30.0% → 24.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.810	24.30%
BB% (unintentional) /BF	0.00%	—	×1.100	0.00%
HR / BF /BF	0.00%	÷0.986	×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 97).

Result: FIP 0.57 → 1.05, 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).