Edwin Uceta

P Montgomery Biscuits

Age 29 RHP 6'0" / 210 lbs AA peak 0.6 · 2028 ILInjured 60-Day (D60)

Overview

AARPD6040-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	52	76	3.43	3.02	32.8%	7.6%	1.4	K 30.7% · BB 7.1% · FIP 3.19
2025	27	MLBTB	70	76	3.79	3.22	32.1%	7.5%	1.2
2026	28	MIX2 levels	4	4	6.23	2.87	38.9%	0.0%	—	K 38.9% · BB 0.0% · FIP 2.87
2027PROJ	29	MLBTB	40	42	3.17	3.22	32.2%	5.9%	0.7
2028PROJ37% MLB	30	MLBTB	23	24	3.33	3.43	31.5%	6.2%	0.3
2029PROJ55% MLB	31	MLBTB	31	33	3.53	3.66	30.7%	6.6%	0.4

Last 3 seasons WAR 2.6 · Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

Whiff%90

K%90

xwOBA vs56

FB Velo43

CompsAndrew Kittredge (age 29) · Kiko Calero (age 29) · Deolis Guerra (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9789vR 81

ERA3.17

FIP3.22

K%32.2%

BB%5.9%

K-BB%26.3%

Proj IP42

Value2027 · WAR

Runs saved vs league avg · 42 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF7070

CTRL5555

CMD7575

K†7070

Statcast Percentiles

FB Velo

p4394.0

Whiff%

p9035.6%

p9032.1%

xwOBA vs

p560.306

CH+3.9 (39%)

FB+3.0 (42%)

SI (2%)

SL-1.6 (3%)

CT-2.0 (16%)

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)
2016	18	ROK MLE	DSL Dodgers 1	11	3	31	118	28	3	1	27%	2.8	16.1%	3.2%	13.0%	1.2%	1.72	2.79	—
2016	18	ROK RAW	DSL Dodgers 1	11	3	31	118	28	3	1	27%	2.8	23.7%	2.5%	21.2%	0.8%	1.72	2.01	—
2017	19	ROK MLE	Ogden Raptors	14	14	56	243	62	14	8	100%	4.0	17.3%	7.2%	10.1%	4.6%	6.59	5.08	—
2017	19	ROK RAW	Ogden Raptors	14	14	56	243	62	14	8	100%	4.0	25.5%	5.8%	19.8%	3.3%	6.59	3.49	—
2018	20	MIX MLE	2 levels	25	25	120	502	131	39	16	100%	4.8	19.5%	9.1%	10.4%	3.8%	3.89	4.67	—
2018	20	MIX RAW	2 levels	25	25	120	502	131	39	16	100%	4.8	26.1%	7.8%	18.3%	3.2%	3.89	3.62	—
2019	21	MIX MLE	2 levels	26	24	123	523	141	47	11	92%	4.7	21.3%	10.0%	11.3%	2.7%	2.77	4.07	—
2019	21	MIX RAW	2 levels	26	24	123	523	141	47	11	92%	4.7	27.0%	9.0%	18.0%	2.1%	2.77	3.12	—
2021	23	MIX MLE	3 levels	25	5	50	224	65	24	7	20%	2.0	26.4%	11.2%	15.3%	3.3%	5.40	4.07	+0.3
2021	23	MIX RAW	3 levels	25	5	50	224	65	24	7	20%	2.0	29.0%	10.7%	18.3%	3.1%	5.40	3.76	+0.5
2022	24	MIX MLE	2 levels	38	5	67	287	83	35	11	13%	1.8	26.0%	12.7%	13.3%	4.3%	5.10	4.88	-0.3
2022	24	MIX RAW	2 levels	38	5	67	287	83	35	11	13%	1.8	28.9%	12.2%	16.7%	3.8%	5.10	4.32	+0.2
2023	25	MIX MLE	4 levels	13	2	16	73	8	13	5	15%	1.2	4.9%	18.7%	-13.8%	10.7%	5.74	10.95	-1.2
2023	25	MIX RAW	4 levels	13	2	16	73	8	13	5	15%	1.2	11.0%	17.8%	-6.8%	6.8%	5.74	8.72	-0.8
2024	26	MIX MLE	2 levels	52	0	76	317	104	24	10	0%	1.5	30.7%	7.1%	23.7%	3.3%	3.43	3.19	+1.2
2024	26	MIX MLE	2 levels	52	0	76	317	104	24	10	0%	1.5	30.7%	7.1%	23.7%	3.3%	3.43	3.19	+1.2
2024	26	MIX RAW	2 levels	52	0	76	317	104	24	10	0%	1.5	32.8%	7.6%	25.2%	3.2%	3.43	3.02	+1.4
2025	27	MLB MLE	Tampa Bay Rays	70	0	76	321	103	24	11	0%	1.1	32.1%	7.5%	24.6%	3.3%	3.79	3.16	+1.3
2025	27	MLB MLE	Tampa Bay Rays	70	0	76	321	103	24	11	0%	1.1	32.1%	7.5%	24.6%	3.3%	3.79	3.16	+1.3
2025	27	MLB RAW	Tampa Bay Rays	70	0	76	321	103	24	11	0%	1.1	32.1%	7.5%	24.6%	3.4%	3.79	3.22	+1.2
2026	28	MIX MLE	2 levels	4	0	4	18	7	0	1	0%	1.1	38.9%	0.0%	38.9%	5.6%	6.23	2.87	—
2026	28	MIX MLE	2 levels	4	0	4	18	7	0	1	0%	1.1	38.9%	0.0%	38.9%	5.6%	6.23	2.87	—
2026	28	MIX RAW	2 levels	4	0	4	18	7	0	1	0%	1.1	38.9%	0.0%	38.9%	5.6%	6.23	2.87	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			125	1	158	656	201	52	18	1%	1.3	30.6%	7.9%	22.7%	2.7%	3.70	3.02	+2.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	TB	40	0	42	177	57	11	6	0%	1.1	32.2%	5.9%	26.3%	3.1%	3.17	3.22	+0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	TB	62	0	65	274	86	17	9	0%	1.0	31.5%	6.2%	25.3%	3.3%	3.33	3.43	+0.9
2029	31	MLB MLE	TB	58	0	61	256	79	17	9	0%	1.0	30.7%	6.6%	24.2%	3.5%	3.53	3.66	+0.7
2028	30	MLB CTX	TB	23	0	24	101	32	6	3	0%	1.0	31.5%	6.2%	25.3%	3.3%	3.33	3.43	+0.3
2029	31	MLB CTX	TB	31	0	33	139	43	9	5	0%	1.1	30.7%	6.6%	24.2%	3.5%	3.53	3.66	+0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		180	1	215	898	276	68	26	1%	1.2	30.8%	7.5%	23.2%	2.9%	3.63	3.07	+3.8
/ 200 IP	—	RAW		167	1	200	834	256	63	24	1%	1.2	30.8%	7.5%	23.2%	2.9%	3.63	3.07	+3.5
Career	—	MLE		278	78	620	2626	615	241	95	28%	2.2	23.4%	9.2%	14.3%	3.6%	4.05	4.28	+4.4
/ 200 IP	—	MLE		90	25	200	847	199	78	31	28%	2.2	23.4%	9.2%	14.3%	3.6%	4.05	4.28	+3.1

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
Edwin Uceta (OGILVIE)	—	—	3.22	32.2%	5.9%	3.1%	—	3.54	31.1%	24.7%	126	+0.32	—	—	—
Andrew Kittredge R 2019 · 2.75 FIP	29	SU	2.75	30.2%	4.9%	2.9%	.307	3.13	25.4%	22.1%	92	+0.38	2.47	691	69
Kiko Calero R 2004 · 3.05 FIP	29	SU	3.05	28.0%	5.4%	3.0%	.206	3.33	23.1%	14.6%	154	+0.28	2.27	298	66
Deolis Guerra R 2018 · 3.59 FIP	29	SU	3.59	26.4%	7.1%	3.3%	.280	3.20	26.6%	19.8%	132	-0.39	2.53	364	66
Brad Boxberger R 2017 · 3.01 FIP	29	SU	3.01	33.1%	6.6%	3.4%	.275	4.40	26.6%	14.5%	98	+1.39	2.63	478	64
Steve Delabar R 2012 · 3.82 FIP	29	SU	3.82	33.6%	9.1%	4.4%	.234	3.44	26.9%	15.9%	139	-0.38	2.43	229	64
Sergio Santos R 2011 · 2.53 FIP	28	SU	2.53	35.4%	9.2%	2.3%	.254	3.13	29.4%	21.4%	47	+0.60	1.36	178	64
Rafael Martín R 2015 · 2.94 FIP	31	SU	2.94	30.5%	7.1%	2.8%	.285	3.99	20.4%	12.9%	112	+1.05	2.94	227	63
Noé Ramirez R 2019 · 3.31 FIP	29	SU	3.31	28.2%	6.8%	3.1%	.289	4.33	20.9%	11.3%	107	+1.02	3.31	423	63
Akinori Otsuka R 2004 · 2.61 FIP	32	SU	2.61	27.9%	6.4%	1.9%	.251	2.78	20.3%	13.4%	155	+0.17	2.39	232	63
John Brebbia R 2019 · 2.89 FIP	29	SU	2.89	28.6%	8.2%	2.1%	.285	3.34	22.8%	17.4%	102	+0.45	2.89	576	63
Jeff Zimmerman R 2001 · 3.58 FIP	28	SU	3.58	26.4%	5.5%	3.7%	.216	—	—	—	—	—	3.58	229	63
Ryan Pressly R 2018 · 2.25 FIP	29	SU	2.25	34.6%	7.2%	2.1%	.311	2.23	33.0%	27.6%	139	-0.02	1.88	691	62
Héctor Neris R 2018 · 3.01 FIP	29	SU	3.01	37.3%	8.1%	3.7%	.321	3.29	31.2%	22.1%	164	+0.28	2.03	682	62
Jon Edwards R 2018 · 2.40 FIP	30	SU	2.40	30.3%	7.7%	1.6%	.304	4.43	25.1%	13.5%	49	+2.03	2.40	132	61
Brandon Gomes R 2013 · 3.48 FIP	29	SU	3.48	34.9%	4.8%	5.0%	.304	4.72	17.9%	10.5%	116	+1.24	3.48	190	61
Tommy Kahnle R 2019 · 2.99 FIP	29	SU	2.99	35.5%	8.1%	3.4%	.275	—	—	—	—	—	1.53	527	61
David Carpenter R 2014 · 2.84 FIP	29	SU	2.84	25.9%	6.2%	2.1%	.327	4.98	15.8%	5.8%	50	+2.14	2.66	275	61
Raisel Iglesias R 2019 · 3.36 FIP	29	SU	3.36	31.9%	6.1%	4.0%	.304	2.28	34.8%	30.0%	155	-1.08	1.34	825	61
Cole Sulser R 2019 · 2.63 FIP	29	SU	2.63	28.7%	9.2%	1.4%	.301	3.62	25.8%	15.2%	120	+0.99	2.38	554	60
Frank Francisco R 2009 · 3.22 FIP	29	SU	3.22	28.1%	6.9%	3.0%	.270	3.45	25.2%	17.1%	146	+0.23	2.92	369	60

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	1.7	55	31.1%	7.3%	1.18	3.52
Giovanny Gallegos ('24)	1.7	56	29.6%	6.6%	1.18	3.49
Blake Parker ('21)	1.7	58	26.7%	7.9%	1.30	3.47
Keone Kela ('21)	1.1	45	29.9%	9.2%	1.03	3.33
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*
Buddy Schultz ('75-'79, 2 WAR*)	1.2	60	27.4%*	8.5%*	1.21*	4.14*
Joe Sambito ('76-'87, 8 WAR*)	3.1	70	26.8%*	7.5%*	1.06*	3.65*