Dauri Moreta

P Indianapolis Indians

Age 31 RHP 6'2" / 225 lbs AAA peak 0.4 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	26	MIX2 levels	63	1	66	4.80	5.32	23.9%	8.6%	-0.6	K 22.7% · BB 8.8% · FIP 5.12
2023	27	MIX2 levels	61	1	66	4.39	2.84	32.1%	11.6%	1.3	K 31.8% · BB 9.6% · FIP 2.63
2025	29	MIX3 levels	55	1	56	2.59	2.72	33.6%	11.8%	1.2	K 30.6% · BB 11.2% · FIP 3.06
2027PROJ	31	MLBPIT	59	0	62	3.78	3.85	30.4%	9.8%	0.5
2028PROJ37% MLB	32	MLBPIT	20	0	21	3.98	4.11	29.6%	10.2%	0.1
2029PROJ55% MLB	33	MLBPIT	28	0	29	4.23	4.39	28.7%	10.7%	0.1

Last 3 seasons WAR 2.0 · Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

Whiff%90

K%81

FB Velo51

xwOBA vs35

CompsJay Jackson (age 31) · Kazuhiro Sasaki (age 32) · Tommy Nance (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10698vR 90

ERA3.78

FIP3.85

K%30.4%

BB%9.8%

K-BB%20.5%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6565

CTRL4545

CMD6060

K†7070

Statcast Percentiles

FB Velo

p5194.6

Whiff%

p9032.4%

p8127.9%

xwOBA vs

p350.329

FB+0.8 (42%)

SL (57%)

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)
2015	19	ROK MLE	DSL Reds	11	0	21	92	30	6	1	0%	1.9	22.2%	8.2%	14.0%	1.5%	1.69	3.10	—
2015	19	ROK RAW	DSL Reds	11	0	21	92	30	6	1	0%	1.9	32.6%	6.5%	26.1%	1.1%	1.69	1.74	—
2016	20	ROK MLE	Billings Mustangs	22	0	33	148	56	20	0	0%	1.5	25.7%	16.9%	8.8%	0.0%	1.89	3.07	—
2016	20	ROK RAW	Billings Mustangs	22	0	33	148	56	20	0	0%	1.5	37.8%	13.5%	24.3%	0.0%	1.89	1.54	—
2017	21	MIX MLE	2 levels	23	0	31	129	45	12	4	0%	1.4	24.9%	8.6%	16.3%	4.0%	4.31	4.31	—
2017	21	MIX RAW	2 levels	23	0	31	129	45	12	4	0%	1.4	34.9%	9.3%	25.6%	3.1%	4.31	3.04	—
2018	22	MIX MLE	2 levels	39	0	56	261	79	26	3	0%	1.4	21.9%	12.0%	9.9%	1.4%	6.79	3.56	—
2018	22	MIX RAW	2 levels	39	0	56	261	79	26	3	0%	1.4	30.3%	10.0%	20.3%	1.1%	6.79	2.36	—
2019	23	A+ MLE	Daytona Tortugas	35	0	57	220	64	9	6	0%	1.6	22.4%	4.7%	17.7%	3.1%	2.35	3.50	—
2019	23	A+ RAW	Daytona Tortugas	35	0	57	220	64	9	6	0%	1.6	29.1%	4.1%	25.0%	2.7%	2.35	2.70	—
2021	25	MIX MLE	3 levels	46	0	57	213	62	10	6	0%	1.2	24.3%	4.9%	19.5%	2.9%	1.11	3.27	+0.9
2021	25	MIX RAW	3 levels	46	0	57	213	62	10	6	0%	1.2	29.1%	4.7%	24.4%	2.8%	1.11	2.82	+1.2
2022	26	MIX MLE	2 levels	63	1	66	280	67	24	16	2%	1.0	22.7%	8.8%	13.9%	5.1%	4.80	5.12	-0.4
2022	26	MIX RAW	2 levels	63	1	66	280	67	24	16	2%	1.0	23.9%	8.6%	15.4%	5.7%	4.80	5.32	-0.6
2023	27	MIX MLE	2 levels	61	1	66	277	89	32	5	2%	1.1	31.8%	9.6%	22.2%	1.8%	4.39	2.63	+1.5
2023	27	MIX RAW	2 levels	61	1	66	277	89	32	5	2%	1.1	32.1%	11.6%	20.6%	1.8%	4.39	2.84	+1.3
2025	29	MIX MLE	3 levels	55	1	56	229	77	27	4	2%	1.0	30.6%	11.2%	19.4%	2.1%	2.59	3.06	+1.0
2025	29	MIX MLE	3 levels	55	1	56	229	77	27	4	2%	1.0	30.6%	11.2%	19.4%	2.1%	2.59	3.06	+1.0
2025	29	MIX RAW	3 levels	55	1	56	229	77	27	4	2%	1.0	33.6%	11.8%	21.8%	1.7%	2.59	2.72	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			112	1	117	481	138	42	17	1%	1.0	28.7%	8.7%	20.0%	3.5%	4.17	3.71	+1.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	PIT	59	0	62	262	80	26	8	0%	1.1	30.4%	9.8%	20.5%	3.1%	3.78	3.85	+0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	PIT	55	0	58	244	72	25	8	0%	1.0	29.6%	10.2%	19.4%	3.3%	3.98	4.11	+0.3
2029	33	MLB MLE	PIT	50	0	53	223	64	24	8	0%	1.1	28.7%	10.7%	18.1%	3.6%	4.23	4.39	+0.1
2028	32	MLB CTX	PIT	20	0	21	89	26	9	3	0%	1.1	29.6%	10.2%	19.4%	3.3%	3.98	4.11	+0.1
2029	33	MLB CTX	PIT	28	0	29	122	35	13	4	0%	1.0	28.7%	10.7%	18.1%	3.6%	4.23	4.39	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		160	1	167	694	200	64	24	1%	1.0	28.8%	9.3%	19.5%	3.5%	4.15	3.77	+1.5
/ 200 IP	—	RAW		192	1	200	831	239	77	29	1%	1.0	28.8%	9.3%	19.5%	3.5%	4.15	3.77	+1.8
Career	—	MLE		355	3	443	1849	471	172	48	1%	1.2	25.5%	9.3%	16.1%	2.6%	3.52	3.54	+1.6
/ 200 IP	—	MLE		160	1	200	835	213	78	21	1%	1.2	25.5%	9.3%	16.1%	2.6%	3.52	3.54	+1.4

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
Dauri Moreta (OGILVIE)	—	—	3.85	30.4%	9.8%	3.1%	—	4.24	29.2%	18.7%	111	+0.39	—	—	—
Jay Jackson R 2019 · 2.80 FIP	31	SU	2.80	32.4%	9.1%	2.3%	.272	3.59	29.4%	19.9%	41	+0.79	2.36	261	81
Kazuhiro Sasaki R 2000 · 3.93 FIP	32	SU	3.93	29.4%	9.8%	3.8%	.212	2.88	24.9%	19.3%	161	-1.05	2.76	223	78
Tommy Nance R 2022 · 3.28 FIP	31	SU	3.28	29.1%	9.2%	2.7%	.345	2.75	23.4%	18.0%	118	-0.53	2.08	360	76
Spencer Patton R 2021 · 3.04 FIP	33	SU	3.04	27.9%	8.7%	2.2%	.305	4.97	21.2%	10.4%	88	+1.93	2.79	239	76
Jason Adam R 2023 · 3.40 FIP	31	SU	3.40	31.1%	9.0%	3.2%	.222	2.99	25.0%	17.7%	173	-0.41	2.42	396	76
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	335	73
Kiko Calero R 2006 · 2.77 FIP	31	SU	2.77	27.8%	8.7%	1.7%	.309	2.92	24.0%	13.4%	101	+0.15	2.27	298	73
Aquilino López R 2005 · 3.10 FIP	30	SU	3.10	30.6%	8.3%	2.8%	.333	3.89	16.2%	10.5%	96	+0.79	3.10	207	72
Ryan Brasier R 2019 · 4.12 FIP	31	SU	4.12	25.3%	8.3%	3.8%	.278	3.56	24.3%	18.2%	99	-0.56	2.31	426	72
Chad Fox R 2001 · 3.17 FIP	30	SU	3.17	27.9%	10.1%	2.1%	.221	3.70	23.2%	9.6%	43	+0.53	2.82	194	71
Simon Castro R 2017 · 3.99 FIP	29	SU	3.99	28.3%	10.3%	3.6%	.256	—	—	—	—	—	3.01	185	71
C.C. Lee R 2018 · 3.03 FIP	31	SU	3.03	34.7%	9.1%	3.1%	.275	—	—	—	—	—	2.59	149	70
Matt Bush R 2017 · 3.60 FIP	31	SU	3.60	24.2%	7.9%	2.8%	.321	4.72	17.6%	4.6%	23	+1.12	2.87	249	70
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	69
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	69
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	68
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	68
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	68
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	2.60	292	68
Vinny Nittoli R 2022 · 3.66 FIP	31	SU	3.66	27.1%	7.1%	3.6%	.268	4.86	23.8%	15.4%	112	+1.20	3.66	331	67

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	1.4	58	29.3%	9.9%	1.32	4.06
Colin Poche ('25)	1.1	54	26.7%	10.2%	1.32	4.01
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*
Ernesto Frieri ('17)	1.5	51	30.1%	11.1%	1.25	3.59
Noé Ramirez ('22)	1.5	59	24.8%	9.4%	1.42	4.21
Buddy Schultz ('75-'79, 2 WAR*)	1.2	60	27.4%*	8.5%*	1.21*	4.14*
Barney Schultz ('55-'65, 2 WAR*)	1.7	58	24.6%*	8.3%*	1.28*	3.93*