Luis Gil

P New York Yankees

Age 29 RHP 6'3" / 215 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	30	30	155	3.59	3.85	27.1%	12.1%	2.9	K 26.8% · BB 12.1% · FIP 3.82
2025	27	MIX3 levels	15	15	71	3.79	4.60	21.2%	13.1%	0.7	K 16.8% · BB 13.5% · FIP 4.45
2026	28	MIX3 levels	15	7	39	3.89	5.77	18.1%	14.7%	-0.5	K 13.7% · BB 14.5% · FIP 6.27
2027PROJ	29	MLBNYY	14	14	83	4.74	5.19	20.4%	13.6%	0.2
2028PROJ95% MLB	30	MLBNYY	10	10	57	4.97	5.12	21.7%	13.1%	0.2
2029PROJ95% MLB	31	MLBNYY	6	6	38	5.20	5.36	20.9%	13.5%	0.0

Last 3 seasons WAR 3.0 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo61

K%10

xwOBA vs10

CompsRoss Ohlendorf (age 29) · Reinier Roibal (age 30) · Dustin McGowan (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 132124vR 116

ERA4.74

FIP5.19

K%20.4%

BB%13.6%

K-BB%6.8%

Proj IP83

Value2027 · WAR

Runs saved vs league avg · 83 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL3030

CMD4545

K†5050

Statcast Percentiles

FB Velo

p6195.3

Whiff%

p1019.7%

p1013.7%

xwOBA vs

p100.362

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 the standard WAR scale.

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)
2015	17	ROK MLE	DSL Twins	16	0	23	110	24	26	2	0%	1.5	14.8%	29.5%	-14.7%	2.5%	4.63	6.99	—
2015	17	ROK RAW	DSL Twins	16	0	23	110	24	26	2	0%	1.5	21.8%	23.6%	-1.8%	1.8%	4.63	5.50	—
2017	19	ROK MLE	DSL Twins	14	14	42	177	49	20	2	100%	3.0	18.8%	14.1%	4.7%	1.6%	2.59	4.17	—
2017	19	ROK RAW	DSL Twins	14	14	42	177	49	20	2	100%	3.0	27.7%	11.3%	16.4%	1.1%	2.59	2.81	—
2018	20	ROK MLE	Pulaski Yankees	10	10	39	162	58	25	1	100%	3.9	24.3%	19.3%	5.1%	0.9%	1.37	3.96	—
2018	20	ROK RAW	Pulaski Yankees	10	10	39	162	58	25	1	100%	3.9	35.8%	15.4%	20.4%	0.6%	1.37	2.39	—
2019	21	MIX MLE	2 levels	20	20	96	407	123	47	1	100%	4.8	22.4%	13.6%	8.9%	0.3%	2.72	3.11	—
2019	21	MIX RAW	2 levels	20	20	96	407	123	47	1	100%	4.8	30.2%	11.5%	18.7%	0.2%	2.72	2.14	—
2021	23	MIX MLE	3 levels	26	23	109	471	155	64	13	88%	4.2	29.2%	14.2%	15.0%	2.7%	3.73	3.92	+1.9
2021	23	MIX RAW	3 levels	26	23	109	471	155	64	13	88%	4.2	32.9%	13.6%	19.3%	2.8%	3.73	3.57	+2.4
2022	24	MIX MLE	2 levels	7	7	26	122	36	17	6	100%	3.7	26.5%	15.3%	11.2%	6.4%	8.06	6.30	-0.3
2022	24	MIX RAW	2 levels	7	7	26	122	36	17	6	100%	3.7	29.5%	13.9%	15.6%	4.9%	8.06	5.32	+0.0
2023	25	A MLE	Tampa Tarpons	2	2	4	21	6	3	0	100%	2.0	28.6%	14.3%	14.3%	0.0%	11.25	2.50	—
2023	25	A RAW	Tampa Tarpons	2	2	4	21	6	3	0	100%	2.0	28.6%	14.3%	14.3%	0.0%	11.25	2.35	—
2024	26	MIX MLE	2 levels	30	30	155	654	177	79	18	100%	5.2	26.8%	12.1%	14.8%	2.6%	3.59	3.82	+3.0
2024	26	MIX MLE	2 levels	30	30	155	654	177	79	18	100%	5.2	26.8%	12.1%	14.8%	2.6%	3.59	3.82	+3.0
2024	26	MIX RAW	2 levels	30	30	155	654	177	79	18	100%	5.2	27.1%	12.1%	15.0%	2.8%	3.59	3.85	+2.9
2025	27	MIX MLE	3 levels	15	15	71	306	65	40	9	100%	4.8	16.8%	13.5%	3.3%	1.9%	3.79	4.45	+0.8
2025	27	MIX MLE	3 levels	15	15	71	306	65	40	9	100%	4.8	16.8%	13.5%	3.3%	1.9%	3.79	4.45	+0.8
2025	27	MIX RAW	3 levels	15	15	71	306	65	40	9	100%	4.8	21.2%	13.1%	8.2%	2.9%	3.79	4.60	+0.7
2026	28	MIX MLE	3 levels	15	7	39	177	32	26	7	47%	2.6	13.7%	14.5%	-0.8%	4.5%	3.89	6.27	-0.8
2026	28	MIX MLE	3 levels	15	7	39	177	32	26	7	47%	2.6	13.7%	14.5%	-0.8%	4.5%	3.89	6.27	-0.8
2026	28	MIX RAW	3 levels	15	7	39	177	32	26	7	47%	2.6	18.1%	14.7%	3.4%	4.0%	3.89	5.77	-0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			56	51	269	1153	272	149	33	91%	4.8	23.6%	12.9%	10.7%	2.9%	3.61	4.33	+3.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	NYY	14	14	83	350	71	48	11	100%	5.9	20.4%	13.6%	6.8%	3.1%	4.74	5.19	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	NYY	10	10	60	254	55	33	8	100%	6.0	21.7%	13.1%	8.6%	3.3%	4.97	5.12	+0.2
2029	31	MLB MLE	NYY	7	7	40	170	36	23	6	100%	5.7	20.9%	13.5%	7.5%	3.5%	5.20	5.36	+0.0
2028	30	MLB CTX	NYY	10	10	57	241	52	32	8	100%	5.7	21.7%	13.1%	8.6%	3.3%	4.97	5.12	+0.2
2029	31	MLB CTX	NYY	6	6	38	160	34	22	6	100%	6.3	20.9%	13.5%	7.5%	3.5%	5.20	5.36	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		72	67	365	1555	358	202	47	93%	5.1	23.0%	13.0%	10.0%	3.0%	3.99	4.45	+4.0
/ 200 IP	—	RAW		39	37	200	853	196	111	26	93%	5.1	23.0%	13.0%	10.0%	3.0%	3.99	4.45	+2.2
Career	—	MLE		155	128	605	2607	607	379	60	83%	3.9	23.3%	14.5%	8.8%	2.3%	3.59	4.24	+3.6
/ 200 IP	—	MLE		51	42	200	862	201	125	20	83%	3.9	23.3%	14.5%	8.8%	2.3%	3.59	4.24	+1.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAScranton/Wilkes-Barre RailRiders · 9 IPFIP 4.13 → 4.39 (+0.26)K% 29.3% → 25.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.27%	—	×0.860	25.17%
BB% (unintentional) /BF	17.07%	—	×0.900	15.37%
HR / BF /BF	2.44%	÷1.000	×1.100	2.68%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.13 → 4.39, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAAScranton/Wilkes-Barre RailRiders · 8 IPFIP 5.03 → 5.35 (+0.32)K% 31.4% → 27.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.43%	—	×0.860	27.03%
BB% (unintentional) /BF	11.43%	—	×0.900	10.29%
HR / BF /BF	5.71%	÷1.070	×1.100	5.88%

Result: FIP 5.03 → 5.35, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AASomerset Patriots · 7 IPFIP 4.51 → 6.09 (+1.58)K% 48.1% → 39.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	48.15%	—	×0.810	39.00%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	7.41%	÷1.030	×1.200	8.63%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 106).

Result: FIP 4.51 → 6.09, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ATampa Tarpons · 4 IPFIP 2.50 → 3.45 (+0.95)K% 28.6% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.740	21.14%
BB% (unintentional) /BF	14.29%	—	×1.180	16.86%
HR / BF /BF	0.00%	÷1.086	×1.300	0.00%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 117).

Result: FIP 2.50 → 3.45, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAAScranton/Wilkes-Barre RailRiders · 22 IPFIP 5.60 → 6.30 (+0.70)K% 30.1% → 26.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.10%	—	×0.880	26.49%
BB% (unintentional) /BF	14.56%	—	×1.050	15.29%
HR / BF /BF	5.83%	÷1.006	×1.100	6.37%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 101).

Result: FIP 5.60 → 6.30, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAAScranton/Wilkes-Barre RailRiders · 49 IPFIP 4.16 → 4.49 (+0.34)K% 31.6% → 27.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.60%	—	×0.880	27.81%
BB% (unintentional) /BF	15.09%	—	×1.050	15.85%
HR / BF /BF	3.30%	÷1.149	×1.100	3.16%

Result: FIP 4.16 → 4.49, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AASomerset Patriots · 31 IPFIP 1.96 → 2.82 (+0.86)K% 38.5% → 31.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.46%	—	×0.810	31.15%
BB% (unintentional) /BF	10.00%	—	×1.100	11.00%
HR / BF /BF	1.54%	÷1.053	×1.200	1.75%

Result: FIP 1.96 → 2.82, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 ACharleston RiverDogs · 83 IPFIP 1.97 → 2.99 (+1.02)K% 32.0% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.00%	—	×0.740	23.68%
BB% (unintentional) /BF	11.14%	—	×1.180	13.15%
HR / BF /BF	0.29%	÷0.916	×1.300	0.41%

Result: FIP 1.97 → 2.99, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Luis Gil (OGILVIE)	—	—	5.19	20.4%	13.6%	3.1%	—	5.22	21.4%	8.1%	100	+0.03	—	—	—
Ross Ohlendorf R 2012 · 4.60 FIP	29	SP-	4.60	16.7%	10.3%	2.9%	.337	3.67	20.8%	14.6%	116	-0.93	3.30	617	72
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	64
Dustin McGowan R 2011 · 5.34 FIP	29	SP-	5.34	20.8%	13.5%	4.2%	.271	4.46	18.5%	9.4%	108	-0.88	3.36	690	62
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	62
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	60
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	59
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	59
Alexi Ogando R 2013 · 4.22 FIP	29	SP-	4.22	16.8%	9.3%	2.5%	.249	4.43	19.0%	8.4%	122	+0.21	2.83	538	58
Ariel Prieto R 2000 · 4.24 FIP	30	SP-	4.24	12.8%	8.8%	2.0%	.345	—	—	—	—	—	4.05	340	58
Noah Song R 2023 · 6.06 FIP	26	SP	6.06	12.0%	13.2%	4.2%	.239	3.80	19.8%	8.3%	116	-2.26	3.68	138	58
John Maine R 2010 · 5.28 FIP	29	SP	5.28	20.5%	12.6%	4.2%	.328	—	—	—	—	—	3.91	582	58
Mickey Callaway R 2004 · 5.21 FIP	29	SP-	5.21	15.5%	12.1%	3.5%	.400	—	—	—	—	—	4.22	126	58
James Kaprielian R 2023 · 4.68 FIP	29	SP-	4.68	20.4%	10.7%	3.5%	.310	6.78	14.2%	1.6%	49	+2.10	2.80	446	57
Chris Heston R 2017 · 5.88 FIP	29	SP-	5.88	13.6%	10.0%	4.9%	.368	—	—	—	—	—	3.81	321	57
Mark Appel R 2021 · 5.90 FIP	30	SP-	5.90	15.6%	15.6%	3.9%	.260	4.22	18.5%	8.1%	40	-1.68	4.22	363	55
Erik Hiljus R 2002 · 6.07 FIP	29	SP	6.07	14.1%	9.7%	5.3%	.281	—	—	—	—	—	3.35	112	55
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	55
Blair Henley R 2024 · 5.41 FIP	27	SP	5.41	17.2%	12.4%	4.0%	.318	—	—	—	—	—	3.97	187	55
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	55
Philip Humber R 2012 · 5.41 FIP	29	SP-	5.41	18.4%	9.3%	4.9%	.289	4.82	13.9%	6.6%	55	-0.59	2.97	362	55

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	2.3	65	22.5%	13.1%	1.17	4.14
Jim Duffalo ('61-'65, 1 WAR*)	1.5	60	21.2%*	13.0%*	1.07*	4.02*
Rob Tejeda ('05-'11, 3 WAR*)	2.2	74	21.8%*	12.6%*	1.00*	4.23*
Bob Gibson ('83-'87, -0 WAR*)	1.3	67	20.4%*	14.0%*	1.14*	4.52*
Bobby Castillo ('77-'85, 5 WAR*)	3.4	86	22.3%*	11.3%*	1.23*	4.27*
Robinson Tejeda ('11)	2.2	74	19.1%	12.6%	0.96	4.42
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27