Caleb Nieman

P ACL Brewers

Age 22 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	21	ROKMIL	11	3	32	6.40	4.65	20.0%	12.9%	—	K 13.6% · BB 16.1% · FIP 5.98
2027PROJ	22	MLBMIL	18	0	19	5.32	5.32	19.7%	14.5%	-0.2
2028PROJ49% MLB	23	MLBMIL	14	0	15	5.06	4.95	20.9%	12.7%	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsYunior Montero (age 22) · Juan Mendez (age 22) · Radhames Liz (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.32

FIP5.32

K%19.7%

BB%14.5%

K-BB%5.2%

Proj IP19

Value2027 · WAR

Runs saved vs league avg · 19 IP

Grades · Contract

Scouting Grades

K†4550

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 industry-standard fWAR.

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)
2026	21	ROK MLE	ACL Brewers	11	3	32	155	31	20	4	27%	2.9	13.6%	16.1%	-2.5%	3.6%	6.40	5.98	—
2026	21	ROK MLE	ACL Brewers	11	3	32	155	31	20	4	27%	2.9	13.6%	16.1%	-2.5%	3.6%	6.40	5.98	—
2026	21	ROK RAW	ACL Brewers	11	3	32	155	31	20	4	27%	2.9	20.0%	12.9%	7.1%	2.6%	6.40	4.65	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	MIL	18	0	19	80	16	12	2	0%	1.1	19.7%	14.5%	5.2%	3.0%	5.32	5.32	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	MIL	29	0	30	128	27	16	4	0%	1.0	20.9%	12.7%	8.3%	3.0%	5.06	4.95	-0.1
2028	23	MLB CTX	MIL	14	0	15	63	13	8	2	0%	1.1	20.9%	12.7%	8.3%	3.0%	5.06	4.95	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	0	15	63	13	8	2	0%	1.1	20.9%	12.7%	8.3%	3.0%	5.06	4.57	-0.0
/ 200 IP	—	RAW		190	0	200	844	175	108	27	0%	1.1	20.9%	12.7%	8.3%	3.0%	5.06	4.57	-0.1
Career	—	MLE		11	3	32	155	21	25	6	27%	2.9	13.6%	16.1%	-2.5%	3.6%	6.40	5.98	-0.1
/ 200 IP	—	MLE		68	19	200	959	130	155	35	27%	2.9	13.6%	16.1%	-2.5%	3.6%	6.40	5.98	-0.9

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
Caleb Nieman (OGILVIE)	—	—	5.32	19.7%	14.5%	3.0%	—	4.95	20.9%	8.3%	30	-0.37	—	—	—
Yunior Montero R 2015 · 4.82 FIP	22	SW	4.82	16.9%	14.1%	2.5%	.276	4.58	21.5%	6.2%	91	-0.24	3.65	127	89
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	84
Radhames Liz R 2007 · 5.07 FIP	23	SW	5.07	19.7%	18.0%	2.5%	.301	5.66	14.5%	2.3%	84	+0.59	2.81	219	81
Josh Gessner R 2022 · 5.47 FIP	22	SW	5.47	17.0%	15.0%	3.5%	.299	5.35	12.0%	-10.1%	34	-0.12	2.98	126	81
Sam Ryan R 2021 · 4.38 FIP	22	SW	4.38	16.4%	14.7%	1.5%	.328	3.85	13.7%	2.9%	49	-0.53	3.80	178	80
Seth McClung R 2003 · 5.63 FIP	22	SW	5.63	15.0%	14.4%	3.6%	.241	5.29	15.3%	2.8%	212	-0.34	2.52	430	80
Engel Daniel Peralta R 2024 · 5.28 FIP	20	SW	5.28	17.7%	15.0%	3.2%	.300	5.89	16.6%	1.2%	33	+0.61	3.34	129	80
Orlando Ortiz-Mayr R 2022 · 4.61 FIP	24	SU	4.61	21.0%	13.2%	2.9%	.341	4.74	15.7%	4.0%	343	+0.13	3.65	492	80
Tyler Santana R 2021 · 4.28 FIP	23	SU	4.28	20.3%	15.1%	1.8%	.333	4.37	16.0%	5.7%	259	+0.09	3.37	401	80
Junior Cerda R 2022 · 5.48 FIP	22	SU	5.48	16.9%	13.6%	3.8%	.277	4.56	19.3%	2.0%	68	-0.92	2.76	135	79
Justin Ferrell R 2016 · 5.30 FIP	22	SW	5.30	14.9%	14.0%	3.1%	.261	4.34	20.4%	9.1%	173	-0.96	3.83	300	79
Luis Rujano R 2024 · 4.54 FIP	21	SW	4.54	17.0%	12.3%	2.4%	.361	4.80	17.9%	-0.8%	97	+0.26	4.54	203	79
Jarret Whorff R 2023 · 4.24 FIP	24	SW	4.24	19.5%	14.2%	1.8%	.287	4.34	19.4%	10.8%	193	+0.10	3.88	257	79
Daniel Hudson R 2009 · 5.06 FIP	22	SW	5.06	17.1%	11.0%	3.7%	.232	3.42	19.4%	13.6%	363	-1.64	1.68	850	78
Ryan Cardona R 2022 · 5.07 FIP	22	SW	5.07	20.9%	17.7%	2.7%	.274	4.27	18.5%	4.3%	292	-0.80	3.62	367	78
Eiberson Castellano R 2023 · 4.25 FIP	22	SW	4.25	18.3%	14.1%	1.7%	.359	4.06	20.9%	10.6%	251	-0.19	3.67	386	78
Ian Snell R 2004 · 5.74 FIP	22	SW	5.74	16.1%	16.1%	3.6%	.333	4.06	20.2%	12.0%	436	-1.68	3.69	804	78
Josh White R 2023 · 5.12 FIP	22	SW	5.12	17.7%	13.9%	3.2%	.244	3.15	27.7%	17.2%	182	-1.97	1.84	247	78
Joey Matulovich R 2019 · 5.52 FIP	22	SW	5.52	19.8%	14.6%	4.1%	.378	5.04	20.5%	8.9%	133	-0.48	3.22	201	77
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	77