Jordan Zimmermann

PosP

B/TR/R

Born1986-05-23

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBRPLAST SEASON 2021

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2019	33	MIX3 levels	25	25	119	6.94	4.57	16.9%	4.3%	1.2	K 16.3% · BB 4.6% · FIP 4.47
2020	34	MLBDET	3	2	6	7.94	2.04	21.4%	7.1%	0.2
2021	35	MLBMIL	2	0	6	7.94	6.45	0.0%	7.7%	-0.1
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 1.3

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2013	27	MLBWSH	73	.123/.136/.138	0	0	-37	-1.1
2014	28	MLBWSH	67	.182/.211/.200	0	0	-5	-0.7
2015	29	MLBWSH	69	.159/.159/.175	0	0	-22	-0.9
2016	30	No MLB games played
2017	31	No MLB games played
2018	32	No MLB games played
2019	33	No MLB games played
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR -2.6

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)
2009	23	MLB MLE	Washington Nationals	16	16	91	391	92	29	10	100%	5.7	23.5%	7.4%	16.1%	2.6%	4.63	3.46	+2.2
2009	23	MLB RAW	Washington Nationals	16	16	91	391	92	29	10	100%	5.7	23.5%	7.4%	16.1%	2.6%	4.63	3.46	+2.2
2010	24	MLB MLE	Washington Nationals	7	7	31	135	27	9	8	100%	4.4	20.0%	6.7%	13.3%	5.9%	4.94	5.51	-0.0
2010	24	MLB RAW	Washington Nationals	7	7	31	135	27	9	8	100%	4.4	20.0%	6.7%	13.3%	5.9%	4.94	5.58	-0.1
2011	25	MLB MLE	Washington Nationals	26	26	161	662	124	29	12	100%	6.2	18.7%	4.4%	14.4%	1.8%	3.18	3.07	+4.7
2011	25	MLB RAW	Washington Nationals	26	26	161	662	124	29	12	100%	6.2	18.7%	4.4%	14.4%	1.8%	3.18	3.07	+4.7
2012	26	MLB MLE	Washington Nationals	32	32	196	805	153	41	18	100%	6.1	19.0%	5.1%	13.9%	2.2%	2.94	3.37	+4.9
2012	26	MLB RAW	Washington Nationals	32	32	196	805	153	41	18	100%	6.1	19.0%	5.1%	13.9%	2.2%	2.94	3.36	+4.9
2013	27	MLB MLE	Washington Nationals	32	32	213	865	161	40	19	100%	6.7	18.6%	4.6%	14.0%	2.2%	3.25	3.32	+5.5
2013	27	MLB RAW	Washington Nationals	32	32	213	865	161	40	19	100%	6.7	18.6%	4.6%	14.0%	2.2%	3.25	3.31	+5.5
2014	28	MLB MLE	Washington Nationals	32	32	200	800	182	29	13	100%	6.2	22.8%	3.6%	19.1%	1.6%	2.66	2.53	+7.4
2014	28	MLB RAW	Washington Nationals	32	32	200	800	182	29	13	100%	6.2	22.8%	3.6%	19.1%	1.6%	2.66	2.56	+7.4
2015	29	MLB MLE	Washington Nationals	33	33	202	831	164	36	24	100%	6.1	19.7%	4.3%	15.4%	2.9%	3.66	3.57	+4.5
2015	29	MLB RAW	Washington Nationals	33	33	202	831	164	36	24	100%	6.1	19.7%	4.3%	15.4%	2.9%	3.66	3.56	+4.5
2016	30	MIX MLE	2 levels	24	23	126	531	77	30	16	96%	5.2	14.3%	5.7%	8.6%	3.2%	4.30	4.38	+1.5
2016	30	MIX RAW	2 levels	24	23	126	531	77	30	16	96%	5.2	14.5%	5.6%	8.9%	3.0%	4.30	4.25	+1.7
2017	31	MLB MLE	Detroit Tigers	29	29	160	713	103	42	29	100%	5.5	14.4%	5.9%	8.6%	4.2%	6.08	4.96	+0.8
2017	31	MLB RAW	Detroit Tigers	29	29	160	713	103	42	29	100%	5.5	14.4%	5.9%	8.6%	4.1%	6.08	4.96	+0.8
2018	32	MIX MLE	3 levels	28	28	142	604	123	30	29	100%	5.1	20.0%	4.7%	15.3%	5.3%	4.76	4.89	+0.8
2018	32	MIX RAW	3 levels	28	28	142	604	123	30	29	100%	5.1	20.4%	5.0%	15.4%	4.8%	4.76	4.66	+1.2
2019	33	MIX MLE	3 levels	25	25	119	534	90	23	22	100%	4.8	16.3%	4.6%	11.7%	3.9%	6.94	4.47	+1.3
2019	33	MIX RAW	3 levels	25	25	119	534	90	23	22	100%	4.8	16.9%	4.3%	12.5%	4.1%	6.94	4.57	+1.2
2020	34	MLB MLE	Detroit Tigers	3	2	6	28	6	2	0	67%	1.9	21.4%	7.1%	14.3%	0.0%	7.94	2.20	+0.2
2020	34	MLB RAW	Detroit Tigers	3	2	6	28	6	2	0	67%	1.9	21.4%	7.1%	14.3%	0.0%	7.94	2.04	+0.2
2021	35	MLB MLE	Milwaukee Brewers	2	0	6	26	0	2	1	0%	2.8	0.0%	7.7%	-7.7%	3.8%	7.94	6.19	-0.1
2021	35	MLB RAW	Milwaukee Brewers	2	0	6	26	0	2	1	0%	2.8	0.0%	7.7%	-7.7%	3.8%	7.94	6.45	-0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			279	275	1614	6766	1271	334	195	99%	5.8	18.8%	4.9%	13.8%	2.9%	4.07	3.72	+32.9
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		279	275	1614	6766	1271	334	195	99%	5.8	18.8%	4.9%	13.8%	2.9%	4.07	3.72	+32.8
/ 200 IP	—	RAW		35	34	200	838	157	41	24	99%	5.8	18.8%	4.9%	13.8%	2.9%	4.07	3.72	+4.1
Career	—	MLE		289	285	1652	6925	1295	342	205	99%	5.7	18.7%	4.9%	13.8%	3.0%	4.08	3.77	+32.9
/ 200 IP	—	MLE		35	35	200	838	157	41	25	99%	5.7	18.7%	4.9%	13.8%	3.0%	4.08	3.77	+4.1

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.

2018 AAAToledo Mud Hens · 5 IPFIP 5.06 → 5.82 (+0.76)K% 21.4% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.43%	—	×0.880	18.86%
BB% (unintentional) /BF	14.29%	—	×1.050	15.00%
HR / BF /BF	3.57%	÷0.893	×1.100	4.40%

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 79).

Result: FIP 5.06 → 5.82, 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 AWest Michigan Whitecaps · 5 IPFIP 0.57 → 1.23 (+0.66)K% 30.0% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.740	22.20%
BB% (unintentional) /BF	0.00%	—	×1.180	0.00%
HR / BF /BF	0.00%	÷0.942	×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 88).

Result: FIP 0.57 → 1.23, 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 AAAToledo Mud Hens · 20 IPFIP 3.93 → 4.41 (+0.47)K% 13.6% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.58%	—	×0.880	11.95%
BB% (unintentional) /BF	4.94%	—	×1.050	5.19%
HR / BF /BF	2.47%	÷0.899	×1.100	3.02%

Result: FIP 3.93 → 4.41, 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).