Igor Gil

P Fort Wayne TinCaps

Age 26 LHP 5'11" / 170 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	ROKSD	17	2	19	8.53	3.99	21.7%	19.8%	—	K 14.8% · BB 24.8% · FIP 4.99
2025	24	MIX2 levels	34	0	58	3.39	3.13	26.7%	16.4%	—	K 19.4% · BB 21.4% · FIP 4.50
2026	25	MIX2 levels	41	0	54	4.36	3.73	29.6%	19.0%	—	K 23.2% · BB 21.5% · FIP 4.69
2027PROJ	26	MLBSD	67	0	70	5.61	5.61	21.6%	20.0%	-0.8
2028PROJ37% MLB	27	MLBSD	24	0	25	5.50	5.51	21.7%	19.0%	-0.3
2029PROJ59% MLB	28	MLBSD	37	0	39	5.47	5.51	21.7%	18.4%	-0.4

Next 3 projected WAR -1.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control20Command30

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsFabian Williamson (age 26) · Nick Lee (age 25) · Brian Marconi (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123132vR 140

ERA5.61

FIP5.61

K%21.6%

BB%20.0%

K-BB%1.6%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL2020

CMD3030

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)
2024	23	ROK MLE	ACL Padres	17	2	19	106	23	21	0	12%	1.1	14.8%	24.8%	-10.0%	0.0%	8.53	4.99	—
2024	23	ROK MLE	ACL Padres	17	2	19	106	23	21	0	12%	1.1	14.8%	24.8%	-10.0%	0.0%	8.53	4.99	—
2024	23	ROK RAW	ACL Padres	17	2	19	106	23	21	0	12%	1.1	21.7%	19.8%	1.9%	0.0%	8.53	3.99	—
2025	24	MIX MLE	2 levels	34	0	58	262	70	43	1	0%	1.7	19.4%	21.4%	-2.1%	0.6%	3.39	4.50	—
2025	24	MIX MLE	2 levels	34	0	58	262	70	43	1	0%	1.7	19.4%	21.4%	-2.1%	0.6%	3.39	4.50	—
2025	24	MIX RAW	2 levels	34	0	58	262	70	43	1	0%	1.7	26.7%	16.4%	10.3%	0.4%	3.39	3.13	—
2026	25	MIX MLE	2 levels	41	0	54	247	73	47	3	0%	1.3	23.2%	21.5%	1.6%	1.5%	4.36	4.69	—
2026	25	MIX MLE	2 levels	41	0	54	247	73	47	3	0%	1.3	23.2%	21.5%	1.6%	1.5%	4.36	4.69	—
2026	25	MIX RAW	2 levels	41	0	54	247	73	47	3	0%	1.3	29.6%	19.0%	10.5%	1.2%	4.36	3.73	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SD	67	0	70	296	64	59	8	0%	1.0	21.6%	20.0%	1.6%	2.6%	5.61	5.61	-0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SD	66	0	69	291	63	55	8	0%	1.0	21.7%	19.0%	2.7%	2.7%	5.50	5.51	-0.7
2029	28	MLB MLE	SD	64	0	67	282	61	52	8	0%	1.0	21.7%	18.4%	3.3%	2.8%	5.47	5.51	-0.7
2030	29	MLB MLE	SD	61	0	64	270	58	49	8	0%	1.0	21.6%	18.2%	3.4%	3.0%	5.51	5.58	-0.7
2028	27	MLB CTX	SD	24	0	25	106	23	20	3	0%	1.0	21.7%	19.0%	2.7%	2.7%	5.50	5.51	-0.3
2029	28	MLB CTX	SD	37	0	39	165	36	30	5	0%	1.1	21.7%	18.4%	3.3%	2.8%	5.47	5.51	-0.4
2030	29	MLB CTX	SD	43	0	45	190	41	35	6	0%	1.0	21.6%	18.2%	3.4%	3.0%	5.51	5.58	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		104	0	110	463	100	85	13	0%	1.1	21.7%	18.5%	3.2%	2.8%	5.49	5.16	-0.8
/ 200 IP	—	RAW		190	0	200	844	182	155	24	0%	1.1	21.7%	18.5%	3.2%	2.8%	5.49	5.16	-1.4
Career	—	MLE		92	2	131	615	124	136	5	2%	1.4	20.1%	22.0%	-1.9%	0.9%	4.53	4.66	-2.3
/ 200 IP	—	MLE		140	3	200	939	189	207	8	2%	1.4	20.1%	22.0%	-1.9%	0.9%	4.53	4.66	-2.3

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
Igor Gil (OGILVIE)	—	—	5.61	21.6%	20.0%	2.6%	—	5.53	21.7%	3.1%	200	-0.08	—	—	—
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	87
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	86
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	85
Trey Jeans L 2022 · 5.09 FIP	26	SU	5.09	22.3%	16.5%	3.3%	.291	—	—	—	—	—	2.74	111	81
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	80
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	80
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	79
Davis Schwab L 2022 · 5.70 FIP	25	SU	5.70	20.3%	18.7%	3.5%	.352	—	—	—	—	—	4.46	114	79
Brian Moran L 2015 · 4.50 FIP	26	SU	4.50	17.7%	14.1%	2.0%	.318	2.74	25.0%	17.4%	80	-1.76	1.80	421	78
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	78
Sean Keselica L 2019 · 4.47 FIP	26	SU	4.47	18.0%	14.5%	1.9%	.314	—	—	—	—	—	2.79	235	78
Ben Harris L 2024 · 5.66 FIP	24	SU	5.66	23.8%	19.6%	3.8%	.291	4.74	21.1%	0.9%	30	-0.92	3.06	183	78
Chandler Jozwiak L 2024 · 5.33 FIP	25	SU	5.33	16.9%	15.3%	3.1%	.259	—	—	—	—	—	2.86	161	77
Trey Cumbie L 2022 · 5.07 FIP	26	SU	5.07	23.3%	16.1%	3.4%	.215	—	—	—	—	—	3.44	152	76
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	76
Matt Mikulski L 2024 · 6.18 FIP	25	SU	6.18	15.3%	17.1%	4.0%	.275	4.98	19.5%	-8.3%	18	-1.20	4.92	223	75
Justin Wright L 2016 · 4.42 FIP	26	SU	4.42	14.7%	13.7%	1.5%	.302	—	—	—	—	—	2.28	109	75
Cody Beckman L 2021 · 5.27 FIP	26	SU	5.27	19.3%	14.9%	3.5%	.331	—	—	—	—	—	3.76	189	74
Renyel Pinto L 2008 · 4.82 FIP	26	SU	4.82	19.7%	13.0%	3.2%	.236	3.99	21.0%	6.3%	78	-0.83	3.58	231	74
Yoan Aybar L 2022 · 6.04 FIP	25	SU	6.04	20.9%	19.7%	4.0%	.318	—	—	—	—	—	3.41	166	74

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.3	67	21.7%	18.9%	1.06	5.52
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*