Omar Guadamuz — OGILVIE

Omar GuadamuzSS DSL Reds

Age 18 R/R 5'9" / 170 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION79 act + 8 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%38

BB%12

BABIP284

ISO77

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M
2036	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$5M	+0.3	$0.5M	+$0.0M (cut)
Totals		$5M		$5M	+$2M

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.

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)
2025	17	ROK	DSL Reds	—	109	86	19	5	1	1	16	35	5	10	2	221	370	337	708	116	353	32	15	329	109	+1	+1	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Reds	—	109	93	14	3	1	1	10	51	5	10	2	151	269	237	505	86	281	47	9	217	33	-9	+1	—	—	+2	-0.5
2025	17	ROK MLE	DSL Reds	—	109	93	14	3	1	1	10	51	5	10	2	151	269	237	505	86	310	47	9	217	33	—	—	—	—	—	—
2025	17	ROK RAW	DSL Reds	—	109	86	19	5	1	1	16	35	5	10	2	221	370	337	708	116	353	32	15	329	33	—	—	—	—	—	—
2025	17	ROK MLE	DSL Reds	—	109	93	14	3	1	1	10	51	5	10	2	151	269	237	505	86	281	47	9	217	33	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Reds	—	109	93	14	3	1	1	10	51	5	10	2	151	269	237	505	86	281	47	9	217	33	—	—	—	—	—	—
YTD	18	ROK MLE	CIN	—	79	63	6	0	0	0	11	36	5	2	0	95	278	95	374		222	46	14	197	19	-8	+0	+0	+1	+2	-0.5
▸ 2026 season
YTD	18	ROK RAW	CIN	—	79	56	8	0	0	0	18	25	5	2	0	143	392	143	535		258	32	23	297	19	—	—	—	—	—	—
ROS	18	ROK MLE	CIN	0%	8	7	1	0	0	0	1	3	0	0	0	143	250	143	393		282	38	12	247	53	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	CIN	—	87	70	7	0	0	0	12	39	5	2	0	100	276	100	376		226	45	14	202	23	-8	+0	+0	+1	+2	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	CIN	34%	185	162	30	5	1	2	17	61	4	3	1	185	279	265	544	80	286	33	9	260	62	-8	+0	+0	+2	+4	-0.2
2028	20	MLB MLE	CIN	48%	325	284	56	9	2	5	30	105	8	6	1	197	292	296	588	99	288	32	9	270	69	-12	+1	+0	+3	+7	-0.1
2029	21	MLB MLE	CIN	54%	432	379	77	13	3	7	40	136	10	7	1	203	296	309	605	106	290	31	9	277	74	-14	+1	+0	+5	+9	0.1
2030	22	MLB MLE	CIN	57%	508	444	91	15	3	9	47	158	12	9	2	205	298	313	611	108	291	31	9	281	77	-14	+1	+0	+5	+11	0.3
2031	23	MLB MLE	CIN	58%	559	489	101	17	3	11	52	174	13	10	2	207	300	321	621	115	292	31	9	284	79	-14	+1	+0	+6	+12	0.5
2032	24	MLB MLE	CIN	57%	593	518	108	18	3	12	56	184	14	10	2	208	303	324	627	116	292	31	9	287	80	-14	+1	+0	+6	+13	0.6
2033	25	MLB MLE	CIN	57%	612	535	112	18	4	13	57	189	15	11	2	209	303	331	634	121	293	31	9	288	81	-14	+1	+0	+7	+13	0.8
2034	26	MLB MLE	CIN	57%	622	543	113	18	4	13	59	193	15	11	2	208	303	328	631	120	293	31	9	289	82	-13	+1	+0	+7	+13	0.8
2035	27	MLB MLE	CIN	55%	623	544	113	18	4	13	59	193	15	11	2	208	303	327	630	119	292	31	9	289	82	-13	+1	+0	+7	+13	0.8
2036	28	MLB MLE	CIN	55%	620	540	111	18	3	13	60	193	15	10	2	206	302	322	625	117	292	31	10	288	81	-14	+1	-1	+7	+13	0.7
2037	29	MLB MLE	CIN	53%	610	531	110	18	3	13	59	191	15	9	2	207	304	326	630	119	291	31	10	287	80	-14	+1	-1	+7	+13	0.5
2038	30	MLB MLE	CIN	53%	600	523	106	17	3	12	58	190	14	8	1	203	299	315	615	113	290	32	10	284	78	-15	+1	-2	+6	+13	0.3
2039	31	MLB MLE	CIN	52%	586	510	102	16	3	11	57	187	14	7	1	200	298	308	606	108	288	32	10	280	76	-17	+1	-3	+6	+13	0.0
2027	19	MLB CTX	CIN	34%	64	56	11	2	0	1	6	21	2	1	0	196	297	286	583	89	289	33	9	246	62	-3	+0	+0	+1	+1	-0.1
2028	20	MLB CTX	CIN	48%	157	137	27	5	1	2	15	51	4	3	0	197	295	292	587	95	291	32	10	256	69	-6	+1	+0	+2	+3	-0.0
2029	21	MLB CTX	CIN	54%	234	204	41	7	1	4	22	74	6	4	1	201	297	304	601	103	293	32	9	263	74	-7	+0	+0	+3	+5	0.1
2030	22	MLB CTX	CIN	57%	288	252	53	9	2	6	27	90	7	5	1	210	304	333	638	123	294	31	9	268	77	-8	+1	+0	+3	+6	0.2
2031	23	MLB CTX	CIN	58%	322	281	60	10	2	7	30	100	8	6	1	214	307	338	645	125	295	31	9	271	79	-8	+1	+0	+3	+7	0.3
2032	24	MLB CTX	CIN	57%	338	295	62	10	2	7	32	105	8	6	1	210	304	329	633	119	296	31	9	274	80	-8	+1	+0	+4	+7	0.4
2033	25	MLB CTX	CIN	57%	347	303	65	11	2	8	33	107	8	6	1	215	308	343	651	129	296	31	10	275	81	-8	+1	+0	+4	+8	0.4
2034	26	MLB CTX	CIN	57%	352	307	65	11	2	8	33	109	9	6	1	212	307	339	645	127	296	31	9	276	82	-8	+1	+0	+4	+8	0.5
2035	27	MLB CTX	CIN	55%	346	302	64	10	2	8	33	107	8	6	1	212	306	338	644	126	296	31	10	277	82	-7	+1	+0	+4	+7	0.5
2036	28	MLB CTX	CIN	55%	340	296	63	10	2	8	33	106	8	6	1	213	309	341	650	128	295	31	10	276	81	-8	+1	-0	+4	+7	0.4
2037	29	MLB CTX	CIN	53%	326	283	60	10	2	7	32	102	8	5	1	212	310	336	645	124	295	31	10	274	80	-8	+1	-1	+3	+7	0.3
2038	30	MLB CTX	CIN	53%	316	274	57	9	2	7	31	100	8	4	1	208	307	332	639	124	293	32	10	271	78	-8	+0	-1	+3	+7	0.1
2039	31	MLB CTX	CIN	52%	306	266	55	9	2	6	30	98	7	4	1	207	304	323	627	117	291	32	10	267	76	-9	+0	-1	+3	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3736	3256	683	113	22	79	357	1170	91	62	11	210	305	331	636	121	298	31	10	271	78	-95	+8	-4	+40	+81	3.1
/ 162G	—	A+C		—	650	566	120	20	4	14	62	204	16	11	2	212	307	336	643	124	301	31	10	271	78	-17	+1	-1	+7	+14	0.5
Career	—	MLE		—	6992	6102	1245	203	40	135	662	2208	169	122	23	204	299	317	616	113	292	32	9	283	78	-178	+14	-7	+74	+149	5.3
/ 162G	—	MLE		—	650	567	117	19	4	13	62	205	16	11	2	206	302	323	625	116	295	32	10	283	78	-17	+1	-1	+7	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Sandy 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
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.8	3,829	75	63	206	298	320	+41	+24	5.6	5.0
/162	664	13	11	+7.1	+4.2	1.0	pk7: 4

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
Omar Guadamuz (OGILVIE)	18	—	—	—	—	177/274/243	66	282	1	2	35%	9%	53	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Jorge Alcantara 2010 · A	18	44	38→45	51→50	41	207/269/289	82	311	6	11	33%	7%	59	-1.7	209/275/309	100	307	7	11	32%	7%	66	-1.1	189/260/299	110	270	7	17	30%	8%	58	-0.6
✕Robert Gonzalez 2019 · A	18	37	40→45	51→60	42	173/271/261	88	302	7	6	41%	9%	55	-1.9	193/299/288	95	289	6	11	32%	11%	72	-0.7	181/305/266	86	250	6	20	26%	12%	68	-0.4
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Alejandro Selen 2007 · A	18	39	35→50	51→30	41	183/255/247	64	290	2	11	35%	8%	45	-2.7	203/258/279	76	265	4	7	24%	5%	53	-2.1	221/258/362	141	318	15	1	34%	3%	69	-0.4
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3
✕Richard Ramirez 2023 · A	18	37	37→60	47→40	38	174/236/245	70	296	4	6	40%	7%	37	-3.3	193/257/301	108	312	11	5	39%	8%	58	-1.7	197/257/339	142	318	16	2	41%	6%	64	-0.6
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Rodolfo Castro 2017 · A	18	43→41	38→55	48→50	43	202/265/291	89	290	5	5	30%	7%	58	-1.7	196/241/316	120	278	11	5	32%	5%	55	-2.0	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Yordany De Los Santos 2023 · A	18	42→40	36→45	51→60	46	196/275/269	73	281	3	13	29%	8%	57	-1.8	201/270/288	87	311	7	23	35%	7%	60	-1.6	204/257/327	123	302	13	35	35%	6%	61	-1.1
✕Daniel Santos 2017 · A	18	40	35→45	51→40	43	188/256/247	59	280	3	8	32%	8%	45	-2.7	189/258/268	79	267	5	6	29%	6%	51	-2.3	173/243/251	78	245	5	4	30%	6%	41	-0.8
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
✕Raul Juarez 2016 · A	18	37	38→45	45→40	37	182/242/262	80	251	5	7	29%	4%	43	-2.8	207/265/290	83	274	7	5	26%	5%	58	-1.7	203/259/274	71	266	8	3	26%	4%	50	-0.6
✕Hidekel Gonzalez 2015 · A	18	44	37→45	47→45	37	205/260/286	81	312	4	7	34%	5%	55	-2.0	227/275/314	87	287	6	8	22%	5%	67	-1.1	241/291/328	87	291	6	8	19%	4%	75	-0.2
✕Yordalin Peña 2023 · A	18	41→38	40→55	56→55	37	198/247/291	93	281	6	10	31%	5%	51	-2.2	189/248/281	92	276	6	12	32%	6%	49	-2.4	184/245/315	131	287	12	17	38%	6%	55	-1.1
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Luis Vázquez 2019 · A	19	40→46	36→45	49→50	39	193/237/259	66	276	3	8	30%	5%	40	-3.1	205/251/277	72	282	5	10	28%	5%	49	-2.4	227/293/349	122	296	14	8	27%	6%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps