Miguel Neira

P ACL Rangers

Age 22 LHP 5'10" / 175 lbs ROK peak 0.1 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Rangers R…	6	2	14	1.98	1.27	38.5%	9.6%	—	K 26.2% · BB 12.0% · FIP 2.41
2026	21	ROKTEX	7	0	16	6.19	4.60	31.9%	8.3%	—	K 21.7% · BB 10.4% · FIP 6.85
2027PROJ	22	MLBTEX	9	0	9	4.51	4.51	23.3%	10.3%	0.0
2028PROJ49% MLB	23	MLBTEX	10	0	10	4.39	4.32	24.0%	9.6%	0.0

Next 2 projected WAR 0.0Projected 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 98%

CompsHarry Gustin (age 22) · Felix Doubront (age 22) · Nick Dombkowski (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 103111vR 119

ERA4.51

FIP4.51

K%23.3%

BB%10.3%

K-BB%13.0%

Proj IP9

Value2027 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†5560

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)
2025	20	ROK MLE	DSL Rangers Red	6	2	14	52	20	5	0	33%	2.3	26.2%	12.0%	14.1%	0.0%	1.98	2.41	—
2025	20	ROK MLE	DSL Rangers Red	6	2	14	52	20	5	0	33%	2.3	26.2%	12.0%	14.1%	0.0%	1.98	2.41	—
2025	20	ROK RAW	DSL Rangers Red	6	2	14	52	20	5	0	33%	2.3	38.5%	9.6%	28.8%	0.0%	1.98	1.27	—
2026	21	ROK MLE	ACL Rangers	7	0	16	72	23	6	4	0%	2.3	21.7%	10.4%	11.3%	7.8%	6.19	6.85	—
2026	21	ROK MLE	ACL Rangers	7	0	16	72	23	6	4	0%	2.3	21.7%	10.4%	11.3%	7.8%	6.19	6.85	—
2026	21	ROK RAW	ACL Rangers	7	0	16	72	23	6	4	0%	2.3	31.9%	8.3%	23.6%	5.6%	6.19	4.60	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	TEX	9	0	9	38	9	4	1	0%	1.0	23.3%	10.3%	13.0%	3.1%	4.51	4.51	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	TEX	19	0	20	84	20	8	3	0%	1.1	24.0%	9.6%	14.4%	3.0%	4.39	4.32	+0.1
2028	23	MLB CTX	TEX	10	0	10	42	10	4	1	0%	1.0	24.0%	9.6%	14.4%	3.0%	4.39	4.32	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	10	4	1	0%	1.1	24.0%	9.6%	14.4%	3.0%	4.39	3.95	+0.1
/ 200 IP	—	RAW		190	0	200	844	203	81	20	0%	1.1	24.0%	9.6%	14.4%	3.0%	4.39	3.95	+1.4
Career	—	MLE		13	2	30	124	29	14	6	15%	2.3	23.6%	11.1%	12.5%	4.5%	4.25	4.99	+0.1
/ 200 IP	—	MLE		88	13	200	836	197	93	38	15%	2.3	23.6%	11.1%	12.5%	4.5%	4.25	4.99	+0.5

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
Miguel Neira (OGILVIE)	—	—	4.51	23.3%	10.3%	3.1%	—	4.32	24.0%	14.4%	20	-0.19	—	—	—
Harry Gustin L 2024 · 3.91 FIP	22	SU	3.91	20.7%	11.0%	2.1%	.331	4.33	22.9%	12.7%	109	+0.42	3.70	152	84
Felix Doubront L 2010 · 4.00 FIP	22	SW	4.00	20.4%	8.8%	2.7%	.312	4.02	21.6%	11.6%	323	+0.02	3.44	719	82
Nick Dombkowski L 2021 · 4.48 FIP	22	SU	4.48	21.3%	8.8%	3.7%	.208	4.71	16.7%	7.7%	223	+0.23	3.71	425	81
Sean Mellen L 2021 · 4.59 FIP	23	SU	4.59	21.5%	12.1%	3.2%	.364	4.01	21.3%	10.9%	55	-0.58	4.01	101	81
Ronnie Glenn L 2015 · 3.47 FIP	22	SU	3.47	20.9%	9.9%	1.6%	.330	5.00	11.1%	-2.6%	171	+1.53	3.47	212	80
Juliandry Higuera L 2017 · 3.87 FIP	22	SU	3.87	20.0%	9.4%	2.3%	.358	4.64	13.8%	-0.3%	43	+0.77	3.87	197	80
Josh Hendrickson L 2019 · 3.80 FIP	21	SW	3.80	21.8%	6.7%	3.1%	.250	4.67	19.3%	10.9%	110	+0.87	3.80	368	79
Daniel Zamora L 2016 · 3.57 FIP	23	SU	3.57	20.3%	10.8%	1.5%	.294	2.75	24.7%	16.8%	135	-0.82	2.15	310	79
Josh Simpson L 2021 · 4.57 FIP	23	SW	4.57	23.5%	11.5%	3.6%	.290	3.26	33.2%	19.8%	102	-1.31	2.95	256	78
Zach Morris L 2015 · 3.59 FIP	22	SU	3.59	18.5%	10.1%	1.4%	.286	4.38	13.9%	2.4%	84	+0.79	3.34	109	78
Andrew Mitchell L 2018 · 3.75 FIP	23	SU	3.75	21.8%	7.5%	2.8%	.333	2.71	23.8%	15.8%	78	-1.04	2.51	119	78
Will Ohman L 2001 · 4.66 FIP	23	SU	4.66	22.2%	11.1%	3.7%	.353	—	—	—	—	—	2.88	350	78
Ryan Rowland-Smith L 2007 · 3.35 FIP	24	SU	3.35	25.0%	8.3%	2.4%	.324	4.89	12.7%	4.4%	324	+1.54	3.35	363	78
Chase Watkins L 2022 · 3.75 FIP	22	SU	3.75	20.6%	11.8%	1.7%	.346	4.34	17.7%	9.0%	156	+0.59	3.30	232	77
Houston Harding L 2022 · 5.30 FIP	24	SU	5.30	20.2%	10.5%	4.7%	.307	4.87	17.3%	4.9%	158	-0.43	3.41	239	77
Lucas Knowles L 2021 · 3.90 FIP	23	SW	3.90	20.5%	12.9%	1.6%	.366	4.22	18.5%	9.4%	177	+0.32	3.37	308	77
Garvin Alston L 2019 · 4.29 FIP	22	SU	4.29	19.7%	6.6%	3.7%	.333	4.74	16.4%	2.9%	84	+0.45	3.98	232	77
Luis Paulino L 2019 · 3.54 FIP	21	SU	3.54	19.1%	10.5%	1.3%	.269	2.75	20.2%	9.5%	50	-0.79	2.57	103	77
Jake Higginbotham L 2018 · 5.15 FIP	22	SU	5.15	17.2%	10.6%	3.9%	.256	4.77	18.8%	6.4%	59	-0.38	3.28	335	77
Garrett Irvin L 2023 · 4.42 FIP	24	SU	4.42	23.2%	11.6%	3.3%	.283	4.32	17.7%	2.9%	39	-0.10	4.32	110	76