Diego Omana — OGILVIE

Diego OmanaC Dayton Dragons

Age 23 R/R 5'10" / 165 lbs A+ HR +16%BB +6% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION67 act + 11 ros · stats below = ROS only

showingROS

wRC+†35

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP242

ISO66

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE53

scouting grade only

SPEED48

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$0.0M

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	18	ROK	DSL Reds	—	83	70	26	3	0	1	8	11	3	0	1	371	457	457	914	86	417	13	10	405	160	+6	-0	—	—	+2	0.8
2022	19	ROK	ACL Reds	—	79	73	16	4	0	0	5	10	1	0	1	219	278	274	552	55	254	13	6	256	59	-4	-0	—	—	+2	-0.3
2023	20	ROK	ACL Reds	—	75	62	17	5	0	1	11	21	1	0	1	274	392	403	795	129	390	28	15	358	129	+3	-0	—	—	+2	0.4
2024	21	A	Daytona Tortugas	—	125	107	22	3	0	1	14	32	1	1	1	206	303	262	565	56	273	26	11	262	63	-5	-0	—	—	+3	-0.3
2024	21	ROK	ACL Reds	—	35	25	7	1	0	0	7	10	1	0	0	280	455	320	775	40	438	29	20	352	125	+1	+0	—	—	+1	0.2
2025	22	A+	Dayton Dragons	—	124	110	22	3	0	0	12	30	0	0	0	200	279	227	506	27	275	24	10	237	47	-8	+0	—	—	+3	-0.5
2025	22	A	Daytona Tortugas	—	42	40	8	2	0	1	0	15	1	0	0	200	220	325	545	125	280	36	0	236	46	-3	+0	—	—	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Reds	—	83	73	21	2	0	1	5	16	3	0	1	288	358	356	714	68	323	19	6	304	92	-1	-0	—	—	+2	0.1
2022	19	ROK MLE	ACL Reds	—	79	75	12	3	0	0	3	14	1	0	1	160	203	200	403	40	192	18	4	176	5	-9	-0	—	—	+2	-0.8
2023	20	ROK MLE	ACL Reds	—	75	66	12	3	0	1	7	29	1	0	1	182	270	273	543	91	301	39	9	241	49	-5	-0	—	—	+2	-0.3
2024	21	A MLE	Daytona Tortugas	—	125	110	20	3	0	1	11	46	1	1	1	182	262	236	499	55	259	37	9	215	32	-10	-0	—	—	+3	-0.8
2024	21	ROK MLE	ACL Reds	—	35	28	6	1	0	0	4	15	1	0	0	214	333	250	583	36	357	43	11	261	63	-2	+0	—	—	+1	-0.1
2025	22	A+ MLE	Dayton Dragons	—	124	114	19	3	0	0	8	41	0	0	0	167	221	193	414	26	252	33	6	189	14	-13	+0	—	—	+3	-1.0
2025	22	A MLE	Daytona Tortugas	—	42	40	6	1	0	1	0	21	1	0	0	150	171	250	421	100	254	50	0	173	3	-5	+0	—	—	+1	-0.4
2021	18	ROK MLE	DSL Reds	—	83	73	21	2	0	1	5	16	3	0	1	288	358	356	714	68	345	19	6	304	92	—	—	—	—	—	—
2021	18	ROK RAW	DSL Reds	—	83	70	26	3	0	1	8	11	3	0	1	371	457	457	914	86	417	13	10	405	92	—	—	—	—	—	—
2022	19	ROK MLE	ACL Reds	—	79	75	12	3	0	0	3	14	1	0	1	160	203	200	403	40	197	18	4	176	5	—	—	—	—	—	—
2022	19	ROK RAW	ACL Reds	—	79	73	16	4	0	0	5	10	1	0	1	219	278	274	552	55	254	13	6	256	5	—	—	—	—	—	—
2023	20	ROK MLE	ACL Reds	—	75	66	12	3	0	1	7	29	1	0	1	182	270	273	543	91	297	39	9	241	49	—	—	—	—	—	—
2023	20	ROK RAW	ACL Reds	—	75	62	17	5	0	1	11	21	1	0	1	274	392	403	795	129	390	28	15	358	49	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	160	138	25	3	0	1	15	60	2	1	1	181	271	225	496	43	296	38	9	225	38	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	160	132	29	4	0	1	21	42	2	1	1	220	335	273	608	53	301	26	13	282	38	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	166	154	25	4	0	1	8	62	1	0	0	162	209	208	416	45	261	37	5	185	11	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	166	150	30	5	0	1	12	45	1	0	0	200	264	253	517	53	276	27	7	237	11	—	—	—	—	—	—
2021	18	ROK MLE	DSL Reds	—	83	75	21	2	0	1	5	16	3	0	1	280	358	347	705	67	323	19	6	304	92	—	—	—	—	—	—
2022	19	ROK MLE	ACL Reds	—	79	75	12	3	0	0	3	14	1	0	1	160	203	200	403	40	192	18	4	176	5	—	—	—	—	—	—
2023	20	ROK MLE	ACL Reds	—	75	67	12	3	0	1	7	29	1	0	1	179	270	269	539	90	301	39	9	241	49	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	160	142	25	3	0	1	15	60	2	1	1	176	271	218	489	42	280	38	9	225	38	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	166	156	25	4	0	1	8	62	1	0	0	160	209	205	414	45	253	37	5	185	11	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	ACL Reds	—	75	67	12	3	0	1	7	29	1	0	1	179	270	269	539	90	301	39	9	241	49	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	160	142	25	3	0	1	15	60	2	1	1	176	271	218	489	42	280	38	9	225	38	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	166	156	25	4	0	1	8	62	1	0	0	160	209	205	414	45	253	37	5	185	11	—	—	—	—	—	—
YTD	23	A+ MLE	CIN	—	67	60	13	3	0	0	5	24	0	0	0	217	277	267	544	50	361	36	7	238	47	-4	+0	+0	+1	+1	-0.2
▸ 2026 season
YTD	23	A+ RAW	CIN	—	36	31	11	3	0	0	5	8	0	0	0	355	444	452	896	97	478	22	14	405	47	—	—	—	—	—	—
YTD	23	AA RAW	CIN	—	31	27	4	1	0	0	2	11	0	0	0	148	207	185	392	37	250	35	6	174	47	—	—	—	—	—	—
ROS	23	A+ MLE	CIN	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		239	27	9	219	35	-1	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	CIN	—	78	70	14	3	0	0	6	27	0	0	0	200	263	243	506	43	326	35	8	236	46	-5	+0	+0	+1	+2	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	CIN	30%	300	273	50	10	1	3	22	83	2	4	1	183	249	260	509	77	245	28	7	235	45	-20	+0	+0	+5	+6	-0.7
2028	25	MLB MLE	CIN	44%	362	329	62	12	1	5	27	98	3	4	1	188	256	277	533	88	249	27	7	245	52	-21	+0	+0	+6	+8	-0.6
2029	26	MLB MLE	CIN	51%	402	366	70	14	1	6	30	108	3	5	1	191	258	284	542	93	251	27	7	251	56	-21	+1	+0	+7	+9	-0.5
2030	27	MLB MLE	CIN	52%	418	380	73	14	1	7	32	112	3	5	1	192	260	289	550	97	252	27	8	253	57	-21	+1	+0	+7	+9	-0.4
2027	24	MLB CTX	CIN	30%	91	83	15	3	0	1	7	25	1	1	0	181	253	253	506	72	248	27	8	233	45	-6	+0	+0	+2	+2	-0.2
2028	25	MLB CTX	CIN	44%	160	146	28	6	1	2	12	43	1	2	1	192	258	288	546	96	252	27	8	243	52	-9	+0	+0	+3	+3	-0.3
2029	26	MLB CTX	CIN	51%	204	185	37	7	1	4	15	55	2	2	1	200	267	314	581	114	254	27	7	249	56	-11	+0	+0	+4	+4	-0.3
2030	27	MLB CTX	CIN	52%	219	198	40	8	1	4	17	59	2	3	1	202	272	313	585	111	255	27	8	251	57	-11	+0	+0	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	674	612	120	24	3	11	51	182	6	8	3	196	265	299	564	103	258	27	8	246	48	-37	+0	+0	+12	+15	-1.0
/ 162G	—	A+C		—	650	590	116	23	3	11	49	176	6	8	3	197	265	302	567	105	259	27	8	246	48	-36	+0	+0	+12	+14	-1.0
Career	—	MLE		—	2056	1864	351	65	4	25	150	585	19	19	8	188	256	268	523	79	257	28	7	239	48	-83	+2	+0	+27	+32	-2.3
/ 162G	—	MLE		—	650	589	111	21	1	8	47	185	6	6	3	188	255	268	523	80	257	28	7	239	48	-36	+1	+0	+12	+14	-1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.0	675	10	8	191	256	287	+12	+8	-0.6	-0.3
/162	664	10	8	+11.9	+7.9	-0.6	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Diego Omana (OGILVIE)	23	25→30	30→35	43→48	53	171/235/235	63	239	1	3	28%	7%	35	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Raul Siri 2018 · A	23	39	38→40	51→50	42	192/251/271	80	265	6	11	29%	7%	49	-2.4	199/265/283	84	347	5	9	41%	7%	57	-1.8	146/235/232	85	299	4	14	47%	8%	34	-0.6
✕Claudio Finol 2023 · AA	23	38	37→40	50→45	40	186/240/263	77	257	4	8	28%	6%	42	-2.9	207/267/299	92	292	8	10	30%	7%	61	-1.5	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Jorge Saez 2014 · A	23	38	39→45	49→30	43	188/248/271	83	255	7	6	28%	7%	47	-2.5	196/263/293	97	280	8	3	31%	8%	58	-1.7	207/270/340	133	282	19	3	33%	7%	70	-0.3
✕Nick Meyer 2021 · A	24	36	36→40	52→50	41	176/235/239	63	249	4	15	30%	6%	35	-3.4	212/281/292	80	276	8	14	24%	8%	65	-1.2	205/280/278	73	264	8	16	24%	8%	59	-0.8
✕Connor Justus 2018 · A	23	40→38	38→40	46→45	45	189/272/265	76	270	5	9	30%	8%	56	-1.9	179/259/251	72	255	5	8	29%	8%	49	-2.4	164/243/223	59	238	4	6	30%	7%	34	-2.4
✕Pat Leyland 2015 · A	23	37	36→30	47→30	38	180/203/241	61	217	5	4	20%	2%	22	-4.4	216/254/287	71	267	5	5	20%	5%	52	-2.2	234/269/282	48	285	2	0	18%	4%	56	-0.8
✕Jack Winkler 2022 · A	23	40→41	38→40	48→55	40	194/249/274	80	270	4	10	28%	6%	48	-2.5	206/268/296	90	274	7	14	26%	6%	61	-1.5	192/259/279	87	258	7	18	27%	6%	51	-1.6
✕Matt Pagnozzi 2006 · AA	23	38	37→40	45→40	41	181/243/253	71	264	4	7	31%	7%	41	-3.0	191/243/270	79	272	5	4	30%	5%	45	-2.7	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Bubba Hollins 2019 · A	23	38	39→30	44→45	43	187/256/267	80	242	7	6	25%	6%	51	-2.3	209/267/290	81	272	5	4	24%	6%	59	-1.7	204/266/276	72	272	4	3	25%	6%	53	-0.9
✕Carlos Torres 2016 · A	23	37	38→30	46→50	37	183/224/260	77	252	6	7	30%	5%	35	-3.4	211/251/282	71	287	4	6	26%	5%	50	-2.3	220/249/272	52	290	2	3	24%	3%	42	-1.1
✕Ariel Montesino 2019 · A	23	39	37→40	47→50	41	191/239/263	72	259	4	9	27%	6%	41	-3.0	188/240/272	84	286	5	10	34%	5%	44	-2.8	134/184/200	67	218	4	13	38%	4%	8	-1.4
✕Andrés Alvarez 2021 · A	24	41→31	37→45	48→50	42	196/261/270	74	275	4	7	29%	7%	52	-2.2	202/269/324	122	288	13	15	33%	8%	68	-1.0	182/251/303	121	254	14	15	33%	8%	55	-1.1
✕Gunnar Heidt 2016 · A	23	36→41	36→45	49→50	37	174/215/239	65	253	3	11	31%	5%	27	-4.0	197/252/300	103	289	9	12	33%	6%	55	-1.9	195/252/299	104	284	9	12	33%	6%	53	-1.5
✕Drew Butera 2007 · A	23	35	40	48→40	45	176/247/261	85	235	8	4	28%	7%	46	-2.6	193/251/285	92	235	8	2	21%	6%	51	-2.2	236/287/353	117	297	12	0	24%	6%	79	-0.0
✕Henrry Pedra 2017 · A	23	39	35→40	46→50	43	187/258/247	61	262	3	14	28%	7%	47	-2.6	206/279/278	72	279	4	11	26%	6%	61	-1.5	185/257/253	68	253	4	16	27%	5%	45	-1.0
✕Jon Murphy 2013 · A	23	38	38→30	47→50	39	185/237/262	77	264	5	13	31%	6%	40	-3.0	198/251/261	63	306	3	10	34%	6%	46	-2.6	192/247/244	53	300	3	10	35%	6%	37	-1.7
✕Vicente Conde 2017 · AA	23	40→35	39→40	46→45	44	193/259/279	85	278	5	7	31%	8%	53	-2.1	176/250/260	84	258	6	6	31%	9%	46	-2.6	104/202/173	69	167	5	2	38%	10%	8	-1.6
✕Jeremy Martinez 2018 · A	23	42	34→40	48→30	49	196/260/244	48	237	2	6	18%	7%	46	-2.6	210/269/294	84	251	7	5	19%	7%	60	-1.6	203/260/289	85	232	9	0	16%	6%	54	-0.7
✕Tanner Murphy 2018 · A	23	36	39→40	45→50	45	179/247/257	78	239	7	3	27%	7%	45	-2.7	192/259/264	72	284	5	7	32%	7%	50	-2.3	139/213/156	17	229	0	3	36%	8%	5	-1.4
✕Kelvin Melean 2022 · AA	23	40	38→40	47→45	42	196/249/274	78	250	6	9	23%	5%	49	-2.4	210/275/296	86	277	6	7	25%	7%	63	-1.4	203/275/275	72	272	5	3	25%	8%	56	-1.0

Career Stats + Projections

Career Comps

Career Path Comps