Hansel Jimenez — OGILVIE

Hansel Jimenez3B ACL Reds

Age 19 R/R 6'1" / 179 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION82 act + 11 ros · stats below = ROS only

showingROS

wRC+†61

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

PA11

HR0

K%27

BB%9

BABIP266

ISO109

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 38 / POW 53

Toolsscout grade

CONTACT38

scouting grade only

POWER53

scouting grade only

EYE40

scouting grade only

SPEED42

scouting grade only

DEFENSE52

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	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$0.0M		$2M	+$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.

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)
2024	17	ROK	DSL Reds	—	17	14	6	1	0	0	3	4	0	4	0	429	529	500	1.029	71	600	24	18	465	201	+2	+1	—	—	+0	0.3
2025	18	ROK	DSL Reds	—	147	119	32	6	0	5	14	38	9	12	1	269	387	445	833	176	333	26	10	364	132	+6	+2	—	—	+3	1.1
2025	18	INTL	Sydney Blue Sox	—	142	118	27	4	0	4	17	49	4	3	2	229	345	364	710	136	354	35	12	320	103	+0	-0	—	—	+3	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Reds	—	17	15	4	1	0	0	2	6	0	4	0	267	353	333	686	67	459	35	12	307	94	-0	+1	—	—	+0	0.1
2025	18	ROK MLE	DSL Reds	—	147	125	24	4	0	4	8	55	9	12	1	192	289	320	609	128	247	37	5	256	59	-7	+2	—	—	+3	-0.2
2024	17	ROK MLE	DSL Reds	—	17	15	4	1	0	0	2	6	0	4	0	267	353	333	686	67	444	35	12	307	94	—	—	—	—	—	—
2024	17	ROK RAW	DSL Reds	—	17	14	6	1	0	0	3	4	0	4	0	429	529	500	1.029	71	600	24	18	465	94	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	289	252	45	7	0	7	16	108	13	15	3	179	263	290	553	111	268	37	6	256	59	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	289	237	59	10	0	9	31	87	13	15	3	249	367	405	772	156	342	30	11	342	59	—	—	—	—	—	—
2024	17	ROK MLE	DSL Reds	—	17	15	4	1	0	0	2	6	0	4	0	267	353	333	686	67	459	35	12	307	94	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	289	258	45	7	0	7	16	108	13	15	3	174	263	283	546	109	247	37	6	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Reds	—	17	15	4	1	0	0	2	6	0	4	0	267	353	333	686	67	459	35	12	307	94	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	289	258	45	7	0	7	16	108	13	15	3	174	263	283	546	109	247	37	6	256	59	—	—	—	—	—	—
YTD	19	ROK MLE	CIN	—	82	70	9	0	0	2	8	30	3	4	0	129	247	214	461	86	184	37	10	212	30	-7	+1	+0	+0	+2	-0.4
▸ 2026 season
YTD	19	ROK RAW	CIN	—	82	65	12	0	0	3	13	21	3	4	0	185	346	323	669	138	220	26	16	313	30	—	—	—	—	—	—
ROS	19	ROK MLE	CIN	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		263	27	9	258	61	-1	+0	-0	+0	+0	-0.0
TOT	19	ROK MLE	CIN	—	93	80	10	0	0	2	9	33	3	4	0	125	239	200	439	75	178	35	10	217	33	-7	+1	-0	+0	+2	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	CIN	25%	209	187	38	6	1	5	16	63	4	4	0	203	280	326	606	123	268	30	8	270	69	-8	+1	-1	+1	+5	-0.2
2028	21	MLB MLE	CIN	38%	340	304	64	10	2	9	26	99	7	5	1	211	288	345	633	135	271	29	8	279	75	-10	+1	-1	+1	+7	-0.2
2029	22	MLB MLE	CIN	45%	434	389	82	13	2	12	34	124	8	7	1	211	288	347	635	136	273	29	8	285	79	-11	+1	-1	+2	+9	-0.0
2030	23	MLB MLE	CIN	49%	497	446	95	15	2	14	39	141	9	7	1	213	289	350	639	137	275	28	8	288	81	-11	+1	-1	+2	+11	0.1
2031	24	MLB MLE	CIN	50%	538	481	104	16	3	16	42	152	10	8	1	216	293	362	654	146	276	28	8	291	83	-11	+1	-1	+2	+12	0.2
2032	25	MLB MLE	CIN	51%	563	503	109	17	3	17	44	159	11	8	1	217	294	364	658	147	276	28	8	292	84	-11	+1	-1	+2	+12	0.3
2033	26	MLB MLE	CIN	51%	575	514	111	17	3	17	45	163	11	8	1	216	293	360	653	144	276	28	8	293	84	-11	+1	-1	+2	+12	0.4
2034	27	MLB MLE	CIN	50%	579	517	111	17	3	17	46	164	11	8	1	215	293	358	651	143	275	28	8	293	84	-11	+1	-1	+2	+13	0.4
2035	28	MLB MLE	CIN	50%	576	513	110	17	3	17	47	164	11	8	1	214	294	359	653	144	275	28	8	292	84	-11	+1	-2	+2	+12	0.2
2036	29	MLB MLE	CIN	53%	568	506	107	16	2	17	46	163	11	8	1	211	291	352	643	140	274	29	8	290	82	-12	+1	-3	+2	+12	0.1
2027	20	MLB CTX	CIN	25%	52	47	9	1	0	1	4	16	1	1	0	191	269	277	546	85	271	31	8	261	69	-2	+0	-0	+0	+1	-0.1
2028	21	MLB CTX	CIN	38%	130	116	26	4	1	4	10	38	3	2	0	224	302	379	682	155	274	29	8	270	75	-4	+0	-0	+0	+3	-0.1
2029	22	MLB CTX	CIN	45%	197	176	38	6	1	6	15	56	4	3	0	216	292	364	656	148	277	28	8	276	79	-5	+1	-0	+1	+4	0.0
2030	23	MLB CTX	CIN	49%	245	219	47	7	1	7	19	70	5	4	1	215	292	352	644	137	278	29	8	280	81	-5	+0	-1	+1	+5	0.1
2031	24	MLB CTX	CIN	50%	271	243	52	8	1	8	21	77	5	4	1	214	290	354	644	140	279	28	8	283	83	-6	+0	-1	+1	+6	0.1
2032	25	MLB CTX	CIN	51%	287	256	56	9	1	9	23	81	6	4	1	219	298	367	665	148	279	28	8	284	84	-6	+0	-1	+1	+6	0.1
2033	26	MLB CTX	CIN	51%	295	264	58	9	1	10	23	83	6	4	1	220	297	375	672	155	279	28	8	285	84	-5	+0	-1	+1	+6	0.2
2034	27	MLB CTX	CIN	50%	292	261	57	9	1	9	23	83	6	4	1	218	297	364	661	146	279	28	8	285	84	-5	+0	-1	+1	+6	0.2
2035	28	MLB CTX	CIN	50%	288	257	56	9	1	9	23	82	6	4	1	218	297	366	663	148	278	28	8	284	84	-6	+0	-1	+1	+6	0.1
2036	29	MLB CTX	CIN	53%	303	269	59	9	1	10	25	87	6	4	1	219	300	372	672	152	277	29	8	282	82	-6	+0	-1	+1	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2360	2108	458	71	9	73	186	673	48	34	7	217	295	363	659	146	281	29	8	282	80	-50	+4	-7	+8	+51	0.7
/ 162G	—	A+C		—	650	581	126	20	2	20	51	185	13	9	2	217	295	361	656	145	280	28	8	282	80	-14	+1	-2	+2	+14	0.2
Career	—	MLE		—	5196	4637	981	152	24	148	404	1509	106	90	12	212	290	350	640	139	277	29	8	287	80	-107	+11	-14	+17	+106	1.3
/ 162G	—	MLE		—	650	580	123	19	3	19	51	189	13	11	2	212	290	353	644	141	277	29	8	287	80	-14	+1	-2	+2	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#3Gordon 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
#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
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,481	70	37	213	288	352	+9	+7	2.8	2.7
/162	664	19	10	+2.4	+1.9	0.7	pk7: 3
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	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
Hansel Jimenez (OGILVIE)	19	20→38	40→53	50→42	40	190/266/294	104	263	2	3	31%	7%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
●Esmerlyn Valdez 2023 · A	19	41→43	44→55	44→30	42	200/278/315	116	290	12	5	33%	8%	70	-0.9	197/274/331	134	305	16	4	38%	8%	72	-0.7	202/297/392	190	283	25	2	36%	10%	92	+0.6
✕Raul Juarez 2017 · A	19	42	41→45	42→40	41	208/273/305	97	268	9	6	25%	5%	65	-1.2	204/257/279	75	279	6	5	28%	5%	53	-2.1	180/221/220	41	250	4	2	29%	3%	23	-0.9
✕Alexander Canario 2019 · A	19	41→34	42→60	47→50	44	201/268/307	106	272	10	12	29%	7%	63	-1.3	210/265/358	148	294	18	11	33%	6%	74	-0.5	201/270/393	193	274	26	13	36%	8%	82	-0.0
✕Rudy van Heydoorn 2009 · A	20	39	43→45	42→50	48	193/294/300	106	278	11	10	32%	10%	73	-0.6	183/264/287	104	286	10	6	37%	8%	58	-1.7	153/236/254	101	237	11	2	38%	9%	40	-0.9
✕Edwin Sanchez 2023 · A	18	41	44→45	43→50	47	201/290/315	114	282	12	6	31%	9%	74	-0.5	200/313/311	111	277	10	9	29%	11%	83	+0.1	178/321/293	116	239	11	11	27%	14%	82	+0.0
✕Jhonkensy Noel 2019 · A	18	37→40	46→55	44→45	40	193/268/316	123	267	14	7	32%	6%	67	-1.1	216/270/350	134	284	16	7	29%	5%	74	-0.5	203/254/375	172	260	23	4	32%	5%	74	-0.3
✕Rodolfo Castro 2018 · A	19	41	42→55	47→50	39	203/257/313	110	287	8	5	31%	6%	60	-1.6	193/233/321	128	274	13	5	34%	5%	53	-2.1	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Bryan Ramos 2021 · A	19	43→42	40→50	44→50	40	207/266/301	93	288	7	6	30%	6%	61	-1.5	209/273/340	131	270	15	6	28%	6%	73	-0.6	205/270/341	137	257	17	5	27%	6%	70	-0.7
✕Joe DeCarlo 2013 · A	19	39→38	41→50	43→30	45	190/272/291	102	269	8	3	30%	8%	62	-1.4	186/267/286	100	300	9	2	38%	8%	59	-1.6	193/274/341	148	264	18	1	32%	8%	71	-0.5
✕Eguy Rosario 2019 · A	19	41→51	40→55	47→55	39	198/251/292	94	281	7	13	31%	6%	53	-2.1	220/268/333	113	304	9	16	29%	6%	69	-0.9	224/286/367	142	294	14	21	28%	7%	82	-0.0
✕Maximo Rivera 2012 · A	19	35	41→45	47→60	41	179/238/272	93	242	10	13	30%	6%	44	-2.8	221/272/301	80	288	7	19	24%	6%	63	-1.4	235/283/299	64	303	5	24	23%	5%	64	-0.4
✕Eddys Leonard 2021 · A	20	42→46	40→50	45→50	44	202/274/296	94	295	7	8	32%	8%	63	-1.3	225/292/371	146	302	16	5	30%	7%	87	+0.4	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Jesus Vasquez 2011 · A	19	40	43→55	47→55	38	200/249/313	113	263	10	11	28%	4%	57	-1.8	215/279/346	131	293	14	14	30%	6%	77	-0.3	221/297/387	166	294	19	20	30%	8%	97	+0.5
✕Gabriel Quintana 2012 · A	19	38→43	40→55	41→45	37	187/245/280	93	270	8	5	33%	5%	49	-2.4	216/254/330	114	311	12	5	33%	3%	63	-1.4	223/253/349	127	319	15	4	34%	2%	64	-0.8
✕Yu Chang 2016 · A	20	40→44	42→50	45	38	202/251/306	105	274	10	6	30%	5%	56	-1.9	199/255/338	139	279	14	8	33%	6%	65	-1.2	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Ronarsy Ledesma 2012 · A	19	41	42→45	47→50	43	203/277/306	103	268	9	7	27%	6%	67	-1.1	224/283/326	102	290	5	11	24%	5%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Jose Cordoba 2023 · A	20	38	42→40	44→55	39	190/253/289	99	277	10	9	34%	6%	54	-2.0	206/263/300	94	283	6	11	28%	6%	59	-1.6	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Sherten Apostel 2018 · A	19	38→34	44→50	43→40	47	188/273/305	117	271	11	5	33%	10%	65	-1.2	195/272/321	126	282	14	4	34%	9%	69	-0.9	188/260/315	127	273	16	2	36%	8%	60	-0.8
✕Jhostynxon Garcia 2022 · A	19	43→41	41→50	47→50	51	206/290/306	101	284	7	8	28%	10%	72	-0.7	190/261/308	118	286	11	9	35%	8%	61	-1.5	219/271/366	148	290	19	9	30%	5%	75	-0.3

Career Stats + Projections

Career Comps

Career Path Comps