Bruce Zimmermann

P Memphis Redbirds

Age 32 LHP 6'3" / 236 lbs AAA peak 0.6 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	29	MIX2 levels	24	16	80	4.16	3.39	23.5%	7.8%	—	K 19.3% · BB 7.0% · FIP 3.81
2025	30	MIX2 levels	29	22	144	4.25	3.95	18.1%	5.3%	2.5	K 16.2% · BB 4.7% · FIP 3.92
2026	31	MIX2 levels	16	15	84	3.87	4.01	24.7%	6.3%	1.4	K 22.1% · BB 5.8% · FIP 4.55
2027PROJ	32	MLBSTL	11	11	64	4.67	4.69	17.4%	5.5%	0.5
2028PROJ95% MLB	33	MLBSTL	9	9	53	4.85	4.96	16.5%	5.9%	0.3
2029PROJ90% MLB	34	MLBSTL	7	7	41	5.10	5.27	15.6%	6.4%	0.1

Last 3 seasons WAR 3.9 · Next 3 projected WAR 0.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2023

xwOBA vs64

K%54

FB Velo10

CompsKwang Hyun Kim (age 32) · Tsuyoshi Wada (age 33) · Brandon Mann (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 106114vR 122

ERA4.67

FIP4.69

K%17.4%

BB%5.5%

K-BB%11.9%

Proj IP64

Value2027 · WAR

Runs saved vs league avg · 64 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1090.1

Whiff%

p9031.9%

p5423.0%

xwOBA vs

p640.298

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2017	22	ROK MLE	Danville Braves	11	11	23	97	28	9	0	100%	2.1	19.6%	11.6%	8.0%	0.0%	3.09	2.91	—
2017	22	ROK RAW	Danville Braves	11	11	23	97	28	9	0	100%	2.1	28.9%	9.3%	19.6%	0.0%	3.09	1.86	—
2018	23	MIX MLE	2 levels	25	25	135	565	141	44	10	100%	5.4	19.0%	8.8%	10.2%	2.3%	3.21	3.88	—
2018	23	MIX RAW	2 levels	25	25	135	565	141	44	10	100%	5.4	25.0%	7.8%	17.2%	1.8%	3.21	2.95	—
2019	24	MIX MLE	2 levels	25	24	140	600	134	52	12	96%	5.6	18.5%	9.4%	9.1%	2.4%	3.21	4.07	—
2019	24	MIX RAW	2 levels	25	24	140	600	134	52	12	96%	5.6	22.3%	8.7%	13.7%	2.0%	3.21	3.41	—
2020	25	MLB MLE	Baltimore Orioles	2	1	7	31	7	2	2	50%	3.5	22.6%	6.5%	16.1%	6.5%	7.71	5.55	-0.0
2020	25	MLB RAW	Baltimore Orioles	2	1	7	31	7	2	2	50%	3.5	22.6%	6.5%	16.1%	6.5%	7.71	5.67	-0.0
2021	26	MIX MLE	5 levels	21	20	86	373	79	30	16	95%	4.1	20.2%	8.3%	11.9%	4.3%	4.62	4.81	+0.6
2021	26	MIX RAW	5 levels	21	20	86	373	79	30	16	95%	4.1	21.2%	8.0%	13.1%	4.3%	4.62	4.73	+0.7
2022	27	MIX MLE	2 levels	29	25	150	649	123	30	27	86%	5.2	17.6%	4.8%	12.8%	4.3%	4.86	4.58	+1.4
2022	27	MIX RAW	2 levels	29	25	150	649	123	30	27	86%	5.2	19.0%	4.6%	14.3%	4.2%	4.86	4.40	+1.8
2023	28	MIX MLE	2 levels	28	21	113	509	124	39	8	75%	4.0	21.3%	6.9%	14.4%	1.7%	4.46	3.09	+3.2
2023	28	MIX RAW	2 levels	28	21	113	509	124	39	8	75%	4.0	24.4%	7.7%	16.7%	1.6%	4.46	2.86	+3.6
2024	29	MIX MLE	2 levels	24	16	80	345	81	27	8	67%	3.3	19.3%	7.0%	12.3%	2.6%	4.16	3.81	—
2024	29	MIX MLE	2 levels	24	16	80	345	81	27	8	67%	3.3	19.3%	7.0%	12.3%	2.6%	4.16	3.81	—
2024	29	MIX RAW	2 levels	24	16	80	345	81	27	8	67%	3.3	23.5%	7.8%	15.7%	2.3%	4.16	3.39	—
2025	30	MIX MLE	2 levels	29	22	144	607	110	32	19	76%	5.0	16.2%	4.7%	11.5%	2.9%	4.25	3.92	+2.5
2025	30	MIX MLE	2 levels	29	22	144	607	110	32	19	76%	5.0	16.2%	4.7%	11.5%	2.9%	4.25	3.92	+2.5
2025	30	MIX RAW	2 levels	29	22	144	607	110	32	19	76%	5.0	18.1%	5.3%	12.9%	3.1%	4.25	3.95	+2.5
2026	31	MIX MLE	2 levels	16	15	84	348	86	22	14	94%	5.2	22.1%	5.8%	16.3%	4.7%	3.87	4.55	+0.8
2026	31	MIX MLE	2 levels	16	15	84	348	86	22	14	94%	5.2	22.1%	5.8%	16.3%	4.7%	3.87	4.55	+0.8
2026	31	MIX RAW	2 levels	16	15	84	348	86	22	14	94%	5.2	24.7%	6.3%	18.4%	4.0%	3.87	4.01	+1.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			40	28	169	746	129	39	42	70%	4.2	17.3%	5.2%	12.1%	5.6%	5.63	5.49	-0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	STL	11	11	64	270	47	15	10	100%	5.8	17.4%	5.5%	11.9%	3.6%	4.67	4.69	+0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	STL	9	9	55	234	39	14	9	100%	6.2	16.5%	5.9%	10.6%	3.9%	4.85	4.96	+0.3
2029	34	MLB MLE	STL	8	8	45	190	30	12	8	100%	5.6	15.6%	6.4%	9.2%	4.2%	5.10	5.27	+0.1
2028	33	MLB CTX	STL	9	9	53	224	37	13	9	100%	5.9	16.5%	5.9%	10.6%	3.9%	4.85	4.96	+0.3
2029	34	MLB CTX	STL	7	7	41	173	27	11	7	100%	5.9	15.6%	6.4%	9.2%	4.2%	5.10	5.27	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		56	44	263	1141	193	63	58	79%	4.7	16.9%	5.5%	11.3%	5.1%	5.39	5.16	+0.7
/ 200 IP	—	RAW		42	33	200	868	147	48	44	78%	4.7	16.9%	5.5%	11.3%	5.1%	5.39	5.16	+0.5
Career	—	MLE		210	180	961	4124	784	289	125	86%	4.6	19.0%	7.0%	12.0%	3.0%	4.06	4.05	+0.2
/ 200 IP	—	MLE		44	37	200	858	163	60	26	86%	4.6	19.0%	7.0%	12.0%	3.0%	4.06	4.05	+0.1

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.

2026 AAAMemphis Redbirds · 79 IPFIP 4.09 → 4.55 (+0.46)K% 25.7% → 22.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.69%	—	×0.860	22.09%
BB% (unintentional) /BF	6.42%	—	×0.900	5.78%
HR / BF /BF	4.28%	÷1.000	×1.100	4.71%

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 100).

Result: FIP 4.09 → 4.55, 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).

2025 AAANashville Sounds · 138 IPFIP 3.78 → 3.92 (+0.14)K% 18.8% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.83%	—	×0.860	16.19%
BB% (unintentional) /BF	5.18%	—	×0.900	4.66%
HR / BF /BF	2.94%	÷1.111	×1.100	2.91%

Result: FIP 3.78 → 3.92, 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).

2024 AAANorfolk Tides · 77 IPFIP 3.50 → 3.81 (+0.30)K% 22.5% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.46%	—	×0.860	19.31%
BB% (unintentional) /BF	7.78%	—	×0.900	7.01%
HR / BF /BF	2.40%	÷0.996	×1.100	2.64%

Result: FIP 3.50 → 3.81, 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 AAANorfolk Tides · 100 IPFIP 2.74 → 2.99 (+0.24)K% 24.6% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.55%	—	×0.860	21.12%
BB% (unintentional) /BF	8.71%	—	×0.900	7.83%
HR / BF /BF	1.12%	÷0.995	×1.100	1.23%

Result: FIP 2.74 → 2.99, 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 AAANorfolk Tides · 76 IPFIP 2.89 → 3.29 (+0.40)K% 22.5% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.49%	—	×0.880	19.79%
BB% (unintentional) /BF	5.47%	—	×1.050	5.74%
HR / BF /BF	1.82%	÷0.970	×1.100	2.07%

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 94).

Result: FIP 2.89 → 3.29, 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).

2021 AAANorfolk Tides · 15 IPFIP 4.12 → 4.62 (+0.50)K% 25.9% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.86%	—	×0.880	22.76%
BB% (unintentional) /BF	10.34%	—	×1.050	10.86%
HR / BF /BF	3.45%	÷1.009	×1.100	3.76%

Result: FIP 4.12 → 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).

2019 AABowie Baysox · 101 IPFIP 3.27 → 4.00 (+0.73)K% 23.8% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.76%	—	×0.810	19.25%
BB% (unintentional) /BF	8.00%	—	×1.100	8.80%
HR / BF /BF	2.12%	÷0.987	×1.200	2.57%

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 3.27 → 4.00, 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).

2019 AAANorfolk Tides · 39 IPFIP 3.75 → 4.23 (+0.48)K% 18.9% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.86%	—	×0.880	16.59%
BB% (unintentional) /BF	10.29%	—	×1.050	10.80%
HR / BF /BF	1.71%	÷0.889	×1.100	2.12%

Result: FIP 3.75 → 4.23, 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).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Bruce Zimmermann (OGILVIE)	—	—	—	—	—	3.6%	—	5.10	16.1%	9.9%	100	+0.41	—	—	—
Kwang Hyun Kim L 2020 · 3.76 FIP	32	SP	3.76	15.6%	6.5%	2.1%	.214	4.21	17.7%	9.5%	107	+0.45	3.76	146	78
Tsuyoshi Wada L 2014 · 3.60 FIP	33	SP	3.60	19.7%	6.2%	2.5%	.290	3.66	16.8%	9.7%	119	+0.06	3.60	188	72
Brandon Mann L 2016 · 4.72 FIP	32	SP	4.72	19.4%	7.9%	4.1%	.320	3.97	19.0%	7.6%	128	-0.75	3.59	190	69
Enrique Lechuga L 2017 · 3.78 FIP	31	SP	3.78	10.5%	6.1%	1.5%	.390	—	—	—	—	—	3.78	137	59
Jorge Castillo L 2015 · 4.50 FIP	33	SP	4.50	16.8%	9.2%	3.0%	.292	4.95	12.4%	7.2%	186	+0.45	4.50	408	58
Tomas Solis L 2015 · 4.20 FIP	32	SP	4.20	15.0%	6.2%	2.9%	.264	5.09	12.0%	3.7%	159	+0.89	4.20	327	57
Orlando Lara L 2017 · 4.39 FIP	32	SP	4.39	14.7%	6.5%	3.1%	.346	4.09	22.0%	14.2%	104	-0.30	3.85	426	57
Matt Dermody L 2022 · 4.22 FIP	32	SP-	4.22	17.9%	5.5%	3.5%	.302	3.87	20.7%	16.1%	49	-0.35	2.38	348	57
Arturo Lopez L 2015 · 4.80 FIP	32	SP	4.80	13.7%	6.2%	3.8%	.301	4.80	10.9%	4.2%	217	+0.00	4.34	445	57
Kelvin Marte L 2019 · 5.25 FIP	31	SP	5.25	12.0%	10.8%	3.3%	.340	—	—	—	—	—	3.44	360	55
Santiago Gutierrez L 2017 · 3.95 FIP	31	SP-	3.95	15.0%	8.2%	2.0%	.366	6.54	17.1%	3.7%	46	+2.59	3.90	341	54
Oscar Rivera L 2015 · 3.68 FIP	34	SP	3.68	14.2%	6.9%	1.7%	.298	4.66	10.4%	3.0%	129	+0.98	3.68	237	54
Sean Nolin L 2021 · 4.54 FIP	31	SP-	4.54	20.4%	8.9%	3.7%	.316	5.87	19.3%	12.9%	23	+1.33	3.79	309	54
Mike Montgomery L 2021 · 4.49 FIP	32	SP	4.49	18.5%	12.4%	2.5%	.347	4.44	15.5%	3.4%	147	-0.05	3.43	764	53
Randy Keisler L 2007 · 5.51 FIP	31	SP-	5.51	6.5%	6.5%	3.9%	.281	—	—	—	—	—	5.07	135	52
Eric Stults L 2012 · 3.71 FIP	32	SP-	3.71	13.3%	6.5%	1.7%	.262	4.01	14.8%	9.6%	517	+0.30	3.50	773	51
Everett Teaford L 2015 · 4.42 FIP	31	SP-	4.42	13.9%	7.6%	2.8%	.324	—	—	—	—	—	4.42	208	50
Roy Merritt L 2017 · 3.95 FIP	31	SP	3.95	16.2%	5.8%	2.7%	.339	—	—	—	—	—	3.93	129	50
Alejandro Astorga L 2017 · 4.01 FIP	30	SP	4.01	14.4%	8.2%	2.0%	.306	—	—	—	—	—	3.72	311	50
Paul Oseguera L 2016 · 5.62 FIP	32	SP	5.62	5.6%	12.5%	2.6%	.320	—	—	—	—	—	3.83	162	49

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.7	67	17.0%	5.6%	1.84	5.25
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*
Adam Morgan ('21)	1.8	62	20.8%	7.2%	1.58	4.80
Kris Wilson ('06)	1.2	81	13.0%	6.2%	1.96	5.44
Paolo Espino ('24)	1.3	89	18.9%	6.0%	1.86	5.12
Sergio Valdez ('86-'95, -2 WAR*)	1.5	61	18.1%*	8.0%*	1.79*	5.46*
Steve Shields ('85-'89, -3 WAR*)	1.1	55	17.0%*	9.0%*	1.61*	5.49*