Eli Lingos — OGILVIE

Eli Lingos P Albuquerque Isotopes

Age 30 LHP 5'11" / 200 lbs AAA

2026 ROS PROJECTION0 act + 3 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 109118vR 126

ERA4.87

FIP4.87

K%18.8%

BB%10.2%

K-BB%8.5%

ROS IP3

Value2026 · WAR

Runs saved vs league avg · 3 IP

Grades · Contract

Scouting Grades

K†4545

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 + 2026 so far)
2018	22	ROK MLE	AZL Indians 1	12	0	21	85	34	2	1	0%	1.7	27.2%	2.9%	24.3%	1.6%	2.61	2.08	—
2018	22	ROK RAW	AZL Indians 1	12	0	21	85	34	2	1	0%	1.7	40.0%	2.4%	37.6%	1.2%	2.61	0.73	—
2019	23	MIX MLE	2 levels	32	11	108	444	99	31	11	34%	3.4	17.5%	7.9%	9.6%	2.9%	3.99	4.24	—
2019	23	MIX RAW	2 levels	32	11	108	444	99	31	11	34%	3.4	22.3%	7.0%	15.3%	2.5%	3.99	3.45	—
2021	25	AA MLE	Akron RubberDucks	6	6	20	88	16	9	0	100%	3.3	14.7%	11.3%	3.5%	0.0%	4.95	3.28	—
2021	25	AA RAW	Akron RubberDucks	6	6	20	88	16	9	0	100%	3.3	18.2%	10.2%	8.0%	0.0%	4.95	2.85	—
2022	26	MIX MLE	2 levels	38	3	63	255	53	20	6	8%	1.7	17.4%	8.5%	8.9%	2.7%	3.13	4.20	—
2022	26	MIX RAW	2 levels	38	3	63	255	53	20	6	8%	1.7	20.8%	7.8%	12.9%	2.4%	3.13	3.61	—
2023	27	AAA MLE	Albuquerque Isotopes	32	0	50	217	37	28	8	0%	1.6	14.2%	11.6%	2.5%	3.8%	5.01	5.47	—
2023	27	AAA MLE	Albuquerque Isotopes	32	0	50	217	37	28	8	0%	1.6	14.2%	11.6%	2.5%	3.8%	5.01	5.47	—
2023	27	AAA RAW	Albuquerque Isotopes	32	0	50	217	37	28	8	0%	1.6	17.1%	12.9%	4.1%	3.7%	5.01	5.36	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	COL	3	0	3	13	2	1	0	0%	1.0	18.8%	10.2%	8.5%	3.1%	4.87	4.87	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	COL	30	0	32	135	25	14	4	0%	1.1	18.8%	10.5%	8.3%	3.3%	4.94	5.02	-0.2
2027	31	MLB CTX	COL	11	0	12	51	10	5	2	0%	1.1	18.8%	10.5%	8.3%	3.3%	4.94	5.02	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	12	50	9	5	2	0%	1.1	18.8%	10.5%	8.3%	3.3%	4.94	4.64	-0.0
/ 200 IP	—	RAW		190	0	200	844	153	85	34	0%	1.1	18.8%	10.5%	8.3%	3.3%	4.94	4.64	-0.2
Career	—	MLE		120	20	263	1089	189	94	30	17%	2.2	17.3%	8.7%	8.7%	2.7%	3.94	4.23	-0.2
/ 200 IP	—	MLE		91	15	200	829	144	72	23	17%	2.2	17.3%	8.7%	8.7%	2.7%	3.94	4.23	-1.1

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
Eli Lingos (OGILVIE)	—	—	4.87	18.8%	10.2%	3.1%	—	5.02	18.8%	8.3%	32	+0.15	—	—	—
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	81
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	75
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	74
Kelvin Marte L 2017 · 4.74 FIP	29	SW	4.74	16.1%	11.4%	2.8%	.300	5.25	12.0%	1.2%	71	+0.51	3.44	360	74
Fernando Abad L 2016 · 3.77 FIP	30	SU	3.77	20.7%	10.1%	2.1%	.271	2.95	21.8%	17.1%	88	-0.82	2.37	306	73
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	72
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	71
Josh Edgin L 2017 · 4.02 FIP	30	SU	4.02	16.3%	10.2%	1.8%	.303	3.63	29.2%	20.0%	43	-0.39	3.63	113	71
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	71
Dan Runzler L 2015 · 3.78 FIP	30	SU	3.78	19.0%	13.1%	1.2%	.383	4.07	16.5%	4.0%	63	+0.29	3.78	127	70
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	69
Josh Outman L 2016 · 4.53 FIP	31	SU	4.53	15.3%	3.7%	4.1%	.323	5.73	12.8%	-1.0%	86	+1.20	4.53	106	69
Justin Marks L 2017 · 3.83 FIP	29	SW	3.83	18.7%	11.0%	1.7%	.317	—	—	—	—	—	3.83	324	69
Aaron Brown L 2022 · 5.38 FIP	30	SU	5.38	21.3%	12.5%	4.5%	.253	—	—	—	—	—	4.04	269	69
James Jones L 2019 · 4.28 FIP	30	SU	4.28	21.9%	13.0%	2.5%	.230	4.65	23.9%	8.8%	35	+0.37	3.58	127	68
Dan Jennings L 2017 · 4.32 FIP	30	SU	4.32	19.1%	9.0%	3.1%	.245	3.88	16.6%	8.5%	64	-0.44	3.11	244	68
Kraig Sitton L 2017 · 3.87 FIP	29	SU	3.87	14.7%	6.1%	2.2%	.312	—	—	—	—	—	2.81	166	68
Chris Narveson L 2015 · 4.79 FIP	33	SW	4.79	23.6%	8.0%	4.9%	.333	4.59	14.1%	4.5%	193	-0.20	4.59	249	68
Chad Bell L 2018 · 4.38 FIP	29	SU	4.38	18.8%	7.4%	3.5%	.341	—	—	—	—	—	3.39	393	67
Antonio Bastardo L 2016 · 4.43 FIP	30	SU	4.43	24.9%	9.8%	4.0%	.268	8.05	15.0%	-1.4%	20	+3.62	3.10	145	67

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.3	33	18.8%	10.4%	1.22	4.90
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58