Miguel Martinez

P DSL Twins

Age 20 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	ROKMIN	11	3	26	6.92	5.45	24.0%	18.4%	—	K 16.3% · BB 23.0% · FIP 7.09
2027PROJ	20	MLBMIN	15	0	16	5.81	5.81	21.0%	19.2%	-0.2
2028PROJ49% MLB	21	MLBMIN	11	0	12	5.47	5.35	21.7%	16.2%	-0.1

Next 2 projected WAR -0.3Projected 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 100%

CompsWill Kobos (age 20) · Denny Larrondo (age 19) · Over Galue (age 20)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 127

ERA5.81

FIP5.81

K%21.0%

BB%19.2%

K-BB%1.9%

Proj IP16

Value2027 · WAR

Runs saved vs league avg · 16 IP

Grades · Contract

Scouting Grades

K†5050

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	19	ROK MLE	DSL Twins	11	3	26	125	30	23	4	27%	2.4	16.3%	23.0%	-6.7%	4.5%	6.92	7.09	—
2026	19	ROK MLE	DSL Twins	11	3	26	125	30	23	4	27%	2.4	16.3%	23.0%	-6.7%	4.5%	6.92	7.09	—
2026	19	ROK RAW	DSL Twins	11	3	26	125	30	23	4	27%	2.4	24.0%	18.4%	5.6%	3.2%	6.92	5.45	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	MIN	15	0	16	68	14	13	2	0%	1.1	21.0%	19.2%	1.9%	3.1%	5.81	5.81	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	MIN	23	0	25	104	23	17	3	0%	1.1	21.7%	16.2%	5.4%	3.0%	5.47	5.35	-0.2
2028	21	MLB CTX	MIN	11	0	12	51	11	8	2	0%	1.1	21.7%	16.2%	5.4%	3.0%	5.47	5.35	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		12	0	12	51	11	8	2	0%	1.0	21.7%	16.2%	5.4%	3.0%	5.47	4.97	-0.1
/ 200 IP	—	RAW		190	0	200	844	182	132	33	0%	1.1	21.7%	16.2%	5.4%	3.0%	5.47	4.97	-1.0
Career	—	MLE		11	3	26	125	20	29	6	27%	2.4	16.3%	23.0%	-6.7%	4.5%	6.92	7.09	-0.2
/ 200 IP	—	MLE		85	23	200	962	157	221	43	27%	2.4	16.3%	23.0%	-6.7%	4.5%	6.92	7.09	-1.8

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 Martinez (OGILVIE)	—	—	5.81	21.0%	19.2%	3.1%	—	5.35	21.7%	5.4%	25	-0.46	—	—	—
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	88
Denny Larrondo R 2021 · 4.77 FIP	19	SW	4.77	22.7%	17.5%	2.5%	.293	5.26	18.1%	-0.4%	155	+0.49	4.48	293	87
Over Galue R 2021 · 5.01 FIP	20	SW	5.01	17.5%	17.0%	2.2%	.346	4.16	18.2%	3.6%	94	-0.85	4.16	122	85
Keegan Collett R 2019 · 5.05 FIP	21	SW	5.05	21.9%	24.6%	1.2%	.321	4.68	29.1%	9.0%	84	-0.37	3.93	184	83
Tanner Cooper R 2021 · 4.71 FIP	21	SW	4.71	17.1%	14.1%	2.3%	.338	5.15	14.4%	6.7%	121	+0.44	4.51	148	81
Jaydenn Estanista R 2022 · 5.61 FIP	20	SW	5.61	20.2%	16.9%	3.8%	.172	5.14	20.6%	2.4%	123	-0.47	4.59	230	80
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	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	79
Nicolas Cruz R 2024 · 4.84 FIP	20	SW	4.84	19.2%	16.1%	2.4%	.437	3.32	20.4%	11.4%	117	-1.52	3.01	194	79
Yehizon Sanchez R 2021 · 5.88 FIP	20	SW	5.88	18.1%	16.7%	4.0%	.417	6.18	13.4%	1.7%	217	+0.30	3.40	359	79
Dominic Hambley R 2023 · 5.81 FIP	20	SW	5.81	16.4%	20.4%	2.8%	.318	4.66	17.9%	-4.3%	73	-1.15	4.44	131	79
Reynardo Cruz R 2022 · 5.44 FIP	20	SW	5.44	16.1%	18.2%	2.5%	.252	4.85	16.3%	-1.2%	66	-0.59	3.96	216	79
Jordan Brink R 2016 · 5.96 FIP	23	SW	5.96	18.3%	19.2%	3.6%	.233	—	—	—	—	—	3.99	132	79
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	79
Juan Martinez R 2021 · 5.12 FIP	20	SW	5.12	17.4%	20.8%	1.6%	.314	5.54	15.4%	-0.3%	31	+0.42	4.03	122	78
Will Varmette R 2024 · 5.06 FIP	21	SU	5.06	22.8%	19.3%	2.6%	.302	5.13	16.1%	2.3%	135	+0.07	4.69	182	78
Angel Peralta R 2024 · 6.70 FIP	17	SW	6.70	19.0%	29.7%	2.6%	.200	4.28	15.9%	2.0%	84	-2.42	3.81	107	78
Darlin Pinales R 2023 · 6.68 FIP	20	SW	6.68	17.0%	27.6%	2.8%	.350	4.44	21.7%	1.1%	117	-2.24	3.61	214	78
Yeiber Cartaya R 2023 · 5.38 FIP	20	SW	5.38	16.4%	21.2%	1.8%	.307	4.38	20.4%	3.8%	235	-1.00	4.12	283	77
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	77