Miguel Balza

P DSL Astros Orange

Age 23 RHP 6'0" / 195 lbs ROK peak 0.2 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	ROKDSL Astros Bl…	3	0	4	4.91	3.10	18.8%	12.5%	—	K 18.8% · BB 12.5% · FIP 3.10
2025	21	ROKDSL Astros Or…	7	5	21	4.64	2.58	32.1%	11.9%	—	K 21.9% · BB 14.9% · FIP 3.75
2027PROJ	23	MLBHOU	2	2	13	4.66	4.66	23.2%	11.9%	0.0
2028PROJ43% MLB	24	MLBHOU	2	2	9	4.53	4.46	23.8%	10.8%	0.0

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsRay Gaither (age 24) · Casey Legumina (age 24) · Colin Fields (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 105

ERA4.66

FIP4.66

K%23.2%

BB%11.9%

K-BB%11.3%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Contract

Scouting Grades

K†5555

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)
2024	20	ROK MLE	DSL Astros Blue	3	0	4	16	3	2	0	0%	1.2	18.8%	12.5%	6.2%	0.0%	4.91	3.10	—
2024	20	ROK MLE	DSL Astros Blue	3	0	4	16	3	2	0	0%	1.2	18.8%	12.5%	6.2%	0.0%	4.91	3.10	—
2024	20	ROK RAW	DSL Astros Blue	3	0	4	16	3	2	0	0%	1.2	18.8%	12.5%	6.2%	0.0%	4.91	3.10	—
2025	21	ROK MLE	DSL Astros Orange	7	5	21	84	27	10	1	71%	3.0	21.9%	14.9%	7.0%	1.1%	4.64	3.75	—
2025	21	ROK MLE	DSL Astros Orange	7	5	21	84	27	10	1	71%	3.0	21.9%	14.9%	7.0%	1.1%	4.64	3.75	—
2025	21	ROK RAW	DSL Astros Orange	7	5	21	84	27	10	1	71%	3.0	32.1%	11.9%	20.2%	1.2%	4.64	2.58	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	HOU	2	2	13	55	13	7	2	100%	6.5	23.2%	11.9%	11.3%	3.0%	4.66	4.66	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	HOU	4	4	20	84	20	9	2	100%	5.0	23.8%	10.8%	12.9%	2.9%	4.53	4.46	+0.1
2028	24	MLB CTX	HOU	2	2	9	38	9	4	1	100%	4.5	23.8%	10.8%	12.9%	2.9%	4.53	4.46	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	9	36	9	4	1	100%	4.3	23.8%	10.8%	12.9%	3.0%	4.53	4.08	+0.1
/ 200 IP	—	RAW		36	36	200	844	211	94	23	100%	5.6	23.8%	10.8%	12.9%	3.0%	4.53	4.08	+1.9
Career	—	MLE		10	5	25	100	21	14	1	50%	2.5	21.4%	14.5%	6.9%	0.9%	4.68	3.65	+0.1
/ 200 IP	—	MLE		80	40	200	800	171	116	8	50%	2.5	21.4%	14.5%	6.9%	0.9%	4.68	3.65	+1.0

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 Balza (OGILVIE)	—	—	4.66	23.2%	11.9%	3.0%	—	4.46	23.8%	12.9%	20	-0.20	—	—	—
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	81
Casey Legumina R 2021 · 4.08 FIP	24	SP-	4.08	23.3%	9.3%	3.2%	.260	4.33	20.2%	11.3%	189	+0.25	3.54	355	81
Colin Fields R 2023 · 3.62 FIP	23	SP-	3.62	20.5%	10.3%	1.7%	.246	3.86	22.0%	13.3%	208	+0.24	2.87	254	79
Hunter Gregory R 2022 · 3.90 FIP	23	SP-	3.90	21.2%	8.7%	2.7%	.374	4.56	20.4%	7.9%	188	+0.66	3.84	249	77
Mitch Neunborn R 2023 · 3.65 FIP	26	SP-	3.65	24.5%	9.5%	2.6%	.232	5.11	17.6%	6.7%	206	+1.46	3.65	248	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	76
Patrick Halligan R 2023 · 4.43 FIP	23	SW	4.43	18.8%	11.6%	2.6%	.330	3.80	25.1%	15.0%	175	-0.63	2.47	305	76
Trent Fennell R 2019 · 4.08 FIP	23	SW	4.08	20.6%	12.2%	2.1%	.328	5.52	19.4%	3.5%	107	+1.44	4.08	163	75
Yunior Montero R 2016 · 3.65 FIP	23	SW	3.65	21.9%	11.9%	1.6%	.239	5.21	21.3%	3.7%	54	+1.56	3.65	127	75
John Matthews R 2021 · 4.87 FIP	23	SW	4.87	18.6%	10.4%	3.7%	.351	4.75	15.5%	1.6%	145	-0.12	4.51	213	75
Keagan Gillies R 2022 · 5.68 FIP	24	SP-	5.68	17.2%	11.3%	4.7%	.370	3.54	23.5%	13.9%	142	-2.14	2.93	177	74
Kyle Zimmer R 2015 · 3.74 FIP	23	SW	3.74	21.8%	8.6%	2.5%	.293	4.55	20.4%	9.0%	33	+0.81	2.08	276	74
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	74
Brendan Collins R 2022 · 3.67 FIP	22	SW	3.67	21.8%	10.3%	2.0%	.294	3.86	20.2%	5.1%	54	+0.19	3.67	122	74
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	74
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	73
Jack Ralston R 2021 · 3.55 FIP	23	SW	3.55	28.0%	14.9%	1.7%	.270	4.43	24.7%	7.3%	124	+0.88	3.55	325	73
Daniel Gonzalez R 2018 · 3.49 FIP	22	SW	3.49	21.3%	12.0%	1.2%	.239	—	—	—	—	—	3.08	163	73
Jonathan Papelbon R 2005 · 3.93 FIP	24	SW	3.93	23.0%	10.1%	2.7%	.305	1.90	31.3%	26.8%	196	-2.03	1.33	726	73
Alfredo Figaro R 2009 · 4.98 FIP	25	SP-	4.98	19.3%	12.0%	3.6%	.370	4.42	7.2%	-1.5%	15	-0.56	3.75	143	73