Michael Gil

P DSL Rojos

Age 22 RHP 6'2" / 170 lbs ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ROKDSL Rojos	15	22	6.45	3.50	20.2%	12.1%	—	K 13.7% · BB 15.2% · FIP 4.65
2026	21	ROKDSL Rojos	14	24	6.29	2.07	20.2%	3.2%	—	K 13.7% · BB 4.0% · FIP 3.07
2027PROJ	22	MLB—	12	13	4.54	4.54	19.2%	8.6%	0.0
2028PROJ49% MLB	23	MLB—	10	11	4.43	4.37	20.6%	8.3%	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 100%

CompsMatt Pidich (age 23) · Devon Roedahl (age 22) · Heath Holder (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.54

FIP4.54

K%19.2%

BB%8.6%

K-BB%10.6%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 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)
2024	19	ROK MLE	DSL Rojos	8	0	9	53	8	14	0	0%	1.1	10.3%	33.0%	-22.8%	0.0%	12.00	6.42	—
2024	19	ROK MLE	DSL Rojos	8	0	9	53	8	14	0	0%	1.1	10.3%	33.0%	-22.8%	0.0%	12.00	6.42	—
2024	19	ROK RAW	DSL Rojos	8	0	9	53	8	14	0	0%	1.1	15.1%	26.4%	-11.3%	0.0%	12.00	5.99	—
2025	20	ROK MLE	DSL Rojos	15	0	22	99	20	12	1	0%	1.5	13.7%	15.2%	-1.4%	1.4%	6.45	4.65	—
2025	20	ROK MLE	DSL Rojos	15	0	22	99	20	12	1	0%	1.5	13.7%	15.2%	-1.4%	1.4%	6.45	4.65	—
2025	20	ROK RAW	DSL Rojos	15	0	22	99	20	12	1	0%	1.5	20.2%	12.1%	8.1%	1.0%	6.45	3.50	—
2026	21	ROK MLE	DSL Rojos	14	0	24	124	25	4	1	0%	1.7	13.7%	4.0%	9.7%	1.1%	6.29	3.07	—
2026	21	ROK MLE	DSL Rojos	14	0	24	124	25	4	1	0%	1.7	13.7%	4.0%	9.7%	1.1%	6.29	3.07	—
2026	21	ROK RAW	DSL Rojos	14	0	24	124	25	4	1	0%	1.7	20.2%	3.2%	16.9%	0.8%	6.29	2.07	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	—	12	0	13	55	11	5	2	0%	1.1	19.2%	8.6%	10.6%	2.9%	4.54	4.54	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	—	22	0	23	96	20	8	3	0%	1.0	20.6%	8.3%	12.3%	2.9%	4.43	4.37	+0.0
2028	23	MLB CTX	—	10	0	11	46	10	4	1	0%	1.1	20.6%	8.3%	12.3%	2.9%	4.43	4.37	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	11	47	10	4	1	0%	1.0	20.6%	8.3%	12.3%	2.9%	4.43	3.99	+0.1
/ 200 IP	—	RAW		190	0	200	844	179	72	18	0%	1.1	20.6%	8.3%	12.3%	2.9%	4.43	3.99	+1.3
Career	—	MLE		37	0	56	276	36	38	3	0%	1.5	13.1%	13.6%	-0.5%	1.0%	7.28	4.28	+0.0
/ 200 IP	—	MLE		133	0	200	992	129	135	10	0%	1.5	13.1%	13.6%	-0.5%	1.0%	7.28	4.28	+0.4

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
Michael Gil (OGILVIE)	—	—	4.54	19.2%	8.6%	2.9%	—	4.37	20.6%	12.3%	23	-0.17	—	—	—
Matt Pidich R 2018 · 4.42 FIP	23	SU	4.42	17.1%	8.3%	3.1%	.303	4.08	20.8%	13.3%	115	-0.34	4.05	196	90
Devon Roedahl R 2019 · 3.94 FIP	22	SU	3.94	19.7%	6.7%	3.0%	.305	4.64	16.5%	9.2%	100	+0.70	3.94	122	89
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	89
Chris Gau R 2018 · 4.76 FIP	21	SU	4.76	20.0%	8.6%	4.1%	.290	3.19	29.5%	23.5%	37	-1.57	2.96	211	89
Andrew Bash R 2019 · 3.87 FIP	22	SU	3.87	18.0%	9.2%	2.1%	.273	4.21	14.9%	4.8%	146	+0.34	3.46	483	88
Corey Copping R 2016 · 4.13 FIP	22	SU	4.13	21.4%	8.7%	3.1%	.265	4.55	19.6%	6.7%	179	+0.42	3.38	214	88
Mike Morrison R 2016 · 4.86 FIP	22	SU	4.86	17.3%	10.7%	3.4%	.280	4.02	19.0%	7.1%	128	-0.84	3.36	145	88
Addison Russ R 2017 · 3.62 FIP	22	SU	3.62	22.2%	7.9%	2.5%	.324	3.09	25.6%	17.5%	121	-0.53	3.08	194	87
Collin Kober R 2017 · 3.39 FIP	22	SU	3.39	21.3%	7.5%	2.1%	.268	2.76	24.0%	17.9%	128	-0.63	2.38	294	87
Jose Geraldo R 2022 · 3.85 FIP	22	SU	3.85	18.9%	9.9%	2.0%	.337	4.47	19.0%	9.9%	49	+0.62	3.14	154	87
Andrés Núñez R 2018 · 3.42 FIP	22	SU	3.42	18.0%	8.6%	1.4%	.269	3.43	22.5%	15.3%	128	+0.01	2.73	259	87
Justin Lasko R 2019 · 3.66 FIP	22	SU	3.66	17.1%	8.6%	1.7%	.286	4.62	15.8%	8.1%	152	+0.96	3.66	173	87
Kyle Zurak R 2017 · 3.96 FIP	22	SU	3.96	21.2%	9.4%	2.6%	.302	3.42	16.7%	7.5%	121	-0.54	3.20	181	87
Mike Foltynewicz R 2014 · 4.76 FIP	22	SU	4.76	16.7%	8.3%	3.7%	.333	4.20	20.8%	12.6%	448	-0.56	3.17	957	86
Vince Vannelle R 2022 · 3.71 FIP	24	SU	3.71	19.9%	8.6%	2.2%	.282	5.30	15.3%	4.5%	76	+1.59	3.71	105	86
Cody Palmquist R 2016 · 4.31 FIP	22	SU	4.31	21.9%	9.0%	3.5%	.278	6.02	14.7%	7.1%	62	+1.71	4.31	104	86
Jacob Bodner R 2015 · 3.40 FIP	22	SU	3.40	19.8%	9.7%	1.4%	.281	3.35	22.1%	12.4%	98	-0.05	2.93	124	86
Reilly Hovis R 2017 · 4.28 FIP	23	SU	4.28	21.1%	7.7%	3.6%	.250	4.36	19.8%	6.4%	50	+0.08	4.28	130	86
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	86
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	86