Hansel Jimenez — OGILVIE

Hansel Jimenez3B DSL Reds

Age 19 R/R 6'1" / 179 lbs ROK HR +9%K -4% Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2034

wRC+†69

AVG/OBP/SLG.208 / .274 / .334

PA122

HR3

K%31

BB%7

MLB%0%

Scouting · now → future

HIT

20↗38

PWR

40↗53

SPD

50↘42

FLD

35↗52

EYE

40→40

trajectory · 10 yrs

3.1peak

2033

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	Ext / FA-deal	$0.9M	+2.8	$27M	+$26M
2033	Ext / FA-deal	$1.0M	+2.9	$29M	+$28M
2034	Ext / FA-deal	$1.0M	+3.0	$30M	+$29M
2035	Ext / FA-deal	$6M	+2.8	$29M	+$24M
2036	Ext / FA-deal	$9M	+2.6	$28M	+$19M
2037	Ext / FA-deal	$11M	+2.3	$25M	+$14M
Totals		$29M		$168M	+$140M

Career Projections (MLE)

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	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
2024	17	ROK	DSL Reds	17	15	4	1	0	0	2	6	0	4	0	.267	.353	.333	.686	.067	.444	35	12	.291	81	-0	+1	+0	+0	+0	0.1
2025	18	ROK	2 teams	289	252	45	7	0	7	16	109	13	15	3	.179	.263	.290	.553	.111	.270	38	6	.253	52	-16	+2	+0	+1	+8	-0.5
▸ 2026 Season
2026	19	MLB	CIN	122	111	24	4	1	3	9	37	1	2	0	.216	.281	.351	.632	.135	.286	30	7	.276	69	-4	+0	-0	+0	+3	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	20	MLB 7%	CIN	209	187	42	7	1	6	17	60	3	4	1	.225	.300	.369	.669	.144	.294	29	8	.302	89	-3	+0	-1	+1	+6	0.4
2028	21	MLB 18%	CIN	340	302	70	12	2	11	30	94	5	6	1	.232	.312	.394	.706	.162	.296	28	9	.315	99	-0	+1	-1	+1	+10	1.1
2029	22	MLB 27%	CIN	434	385	91	15	3	15	40	117	6	7	1	.236	.318	.408	.726	.171	.296	27	9	.323	105	+3	+1	-1	+2	+12	1.7
2030	23	MLB 38%	CIN	497	440	106	18	3	18	47	131	7	8	2	.241	.324	.418	.742	.177	.297	26	9	.328	109	+5	+1	-1	+2	+14	2.1
2031	24	MLB 46%	CIN	538	473	114	19	3	20	53	140	7	8	2	.241	.326	.421	.747	.180	.297	26	10	.332	113	+8	+1	-1	+2	+15	2.5
2032	25	MLB 53%	CIN	563	494	120	20	4	21	56	146	8	8	1	.243	.330	.427	.757	.184	.298	26	10	.336	115	+10	+1	-1	+2	+16	2.8
2033	26	MLB 61%	CIN	575	504	123	20	4	22	58	149	8	8	1	.244	.332	.431	.762	.187	.298	26	10	.337	116	+11	+1	-1	+2	+16	2.9
2034	27	MLB 69%	CIN	579	507	123	20	4	22	59	150	8	8	1	.243	.331	.428	.759	.185	.298	26	10	.337	116	+11	+1	-1	+2	+16	3.0
2035	28	MLB 70%	CIN	576	503	121	20	3	22	60	151	8	8	1	.241	.331	.423	.754	.183	.298	26	10	.336	115	+10	+1	-2	+2	+16	2.8
2036	29	MLB 72%	CIN	568	496	119	20	3	21	59	150	8	7	0	.240	.330	.419	.750	.179	.297	26	10	.334	114	+9	+1	-3	+2	+16	2.6
2037	30	MLB 73%	CIN	558	488	116	19	3	21	58	149	7	7	0	.238	.327	.418	.745	.180	.295	27	10	.331	111	+7	+1	-3	+2	+16	2.3
2038	31	MLB 74%	CIN	544	475	112	18	3	20	57	148	7	6	0	.236	.327	.413	.739	.177	.294	27	10	.327	109	+5	+1	-4	+2	+15	2.0
2039	32	MLB 75%	CIN	526	459	106	17	3	18	55	146	7	5	0	.231	.322	.399	.721	.168	.292	28	10	.322	105	+3	+1	-5	+2	+15	1.6
2040	33	MLB 76%	CIN	497	437	99	16	3	17	51	141	6	5	0	.227	.316	.394	.709	.167	.291	28	10	.317	101	+0	+1	-5	+2	+14	1.2
2041	34	MLB 76%	CIN	450	395	88	14	2	15	46	132	6	5	0	.223	.313	.382	.695	.159	.289	29	10	.310	95	-2	+1	-6	+2	+13	0.7
2042	35	MLB 77%	CIN	396	348	75	12	2	12	40	120	5	4	0	.216	.305	.365	.670	.149	.287	30	10	.302	89	-5	+1	-7	+1	+11	0.2
2043	36	MLB 87%	CIN	336	295	62	9	2	10	34	105	4	4	0	.210	.300	.356	.656	.146	.284	31	10	.293	82	-7	+1	-7	+1	+10	-0.2
2044	37	MLB	CIN	271	239	47	7	1	7	27	87	3	3	0	.197	.286	.322	.608	.126	.280	32	10	.283	75	-8	+1	-8	+1	+8	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8885	7805	1807	295	50	308	874	2468	127	132	14	.232	.319	.401	.719	.169	.295	28	10	.321	104	+36	+21	-60	+32	+252	28.6
/ 162G	—			650	571	133	22	4	23	64	181	9	10	1	.233	.320	.406	.726	.173	.296	28	10	.321	104	+3	+2	-4	+2	+18	2.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2024	17	ROK	DSL Reds	17	14	6	1	0	3	4	0	4	0	.429	.529	.500	1.029	.071	.600	24	18	.465	214	+2	+1	—	—	+0	0.4
2025	18	ROK	DSL Reds	147	119	32	6	5	14	38	9	12	1	.269	.387	.445	.833	.176	.333	26	10	.364	137	+6	+2	—	—	+4	1.3
2025	18	INTL	Sydney Blue Sox	142	118	27	4	4	17	49	4	3	2	.229	.345	.364	.710	.136	.354	35	12	.320	103	+1	-0	—	—	+4	0.4

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
Hansel Jimenez (OGILVIE)	19	20→38	40→53	50→42	40	.208/.274/.334	.126	.286	3	2	31%	7%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Mark Vientos 2019 · A	19	42→50	45→60	43→30	45	.215/.274/.337	.122	.275	14	3	27%	7%	69	-0.4	.206/.251/.346	.140	.279	17	2	32%	5%	62	-0.9	.246/.306/.451	.204	.321	28	0	31%	7%	109	+2.0
✕Esmerlyn Valdez 2023 · A	19	42	45→55	45→40	43	.206/.283/.328	.122	.292	13	5	32%	8%	71	-0.3	.197/.275/.334	.137	.303	16	4	38%	8%	69	-0.4	.194/.284/.363	.169	.278	23	2	37%	9%	78	+0.1
✕Ronarsy Ledesma 2012 · A	19	42	42→45	47→50	43	.205/.277/.309	.104	.271	9	8	27%	6%	64	-0.8	.224/.284/.326	.102	.290	5	11	24%	5%	70	-0.3	.226/.280/.337	.111	.291	6	11	23%	4%	69	-0.2
✕Jhonkensy Noel 2019 · A	18	38→41	46→60	44→45	40	.196/.271/.318	.122	.272	14	7	32%	6%	64	-0.8	.214/.270/.349	.135	.282	16	7	29%	5%	71	-0.3	.206/.257/.386	.180	.262	25	4	32%	5%	75	+0.0
✕Agustín Ramírez 2022 · A	20	37→45	43→55	44→50	39	.188/.245/.301	.113	.275	11	4	34%	6%	47	-1.9	.223/.286/.366	.143	.284	16	11	26%	8%	82	+0.5	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●Renato Núñez 2014 · A	20	41→51	45→60	44→30	36	.208/.246/.327	.119	.281	13	3	31%	4%	54	-1.4	.213/.254/.366	.153	.264	20	3	28%	4%	69	-0.4	.238/.308/.452	.215	.278	31	1	26%	7%	111	+1.7
●Heliot Ramos 2019 · A	19	41→51	43→55	47→50	33	.202/.246/.317	.115	.301	11	8	36%	4%	52	-1.6	.215/.268/.348	.133	.317	15	9	35%	6%	69	-0.4	.256/.322/.432	.177	.319	22	8	26%	7%	112	+2.4
✕Jesus Vasquez 2011 · A	19	40	43→55	47→55	38	.201/.250/.313	.113	.265	10	10	28%	5%	52	-1.6	.214/.278/.346	.132	.291	14	14	30%	6%	73	-0.1	.221/.297/.387	.166	.294	19	20	30%	8%	97	+0.7
●Nomar Mazara 2014 · A	19	37→47	43→55	44→40	38	.186/.243/.298	.111	.278	11	4	36%	6%	46	-2.0	.220/.278/.352	.132	.287	15	3	28%	7%	75	-0.0	.249/.312/.421	.172	.290	21	3	22%	8%	99	+1.5
●Jay Bruce 2006 · A	19	41→51	46→65	42→50	39	.207/.260/.334	.128	.300	14	8	35%	6%	62	-0.9	.243/.289/.418	.175	.322	18	9	29%	6%	96	+1.5	.253/.334/.464	.210	.300	26	7	24%	10%	115	+2.9
✕Max Stassi 2011 · A	20	39→43	45→55	43→40	38	.194/.254/.315	.121	.302	13	5	39%	7%	55	-1.4	.211/.269/.347	.136	.289	16	4	31%	6%	69	-0.4	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Rudy van Heydoorn 2009 · A	20	40	43→45	43→50	47	.193/.290/.298	.105	.281	11	10	32%	10%	67	-0.5	.182/.264/.285	.103	.284	10	6	37%	8%	52	-1.6	.153/.236/.254	.101	.237	11	2	38%	9%	32	-0.9
✕Alexander Canario 2019 · A	19	41→34	42→60	47→50	44	.203/.269/.309	.106	.273	10	12	28%	7%	59	-1.1	.209/.266/.356	.147	.291	17	11	33%	7%	70	-0.3	.209/.277/.424	.216	.279	30	13	36%	8%	90	+0.6
✕Brendan Rodgers 2017 · A	20	41→51	45→50	44→45	39	.211/.256/.331	.120	.275	14	6	28%	5%	59	-1.1	.235/.277/.371	.136	.297	15	6	26%	4%	79	+0.3	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
●Davis Schneider 2018 · A	19	40→44	41→55	48→50	50	.198/.276/.300	.102	.259	8	6	26%	9%	60	-1.0	.193/.268/.290	.097	.299	8	7	35%	8%	54	-1.4	.213/.322/.409	.196	.275	24	9	30%	12%	106	+1.6
✕Jesús Báez 2023 · A	18	39→37	44→50	44→45	43	.199/.265/.312	.113	.271	12	9	30%	8%	59	-1.1	.198/.260/.317	.119	.255	13	9	27%	7%	58	-1.2	.195/.258/.323	.128	.235	16	9	24%	7%	56	-0.7
✕Ravel Santana 2010 · A	18	40	42→50	48→55	43	.195/.271/.297	.102	.274	9	9	31%	8%	58	-1.2	.218/.289/.357	.139	.282	16	15	27%	8%	81	+0.4	.220/.291/.383	.163	.271	20	20	26%	8%	85	+0.3
✕Robert Perez Jr. 2019 · A	19	37→47	41→55	43→45	37	.184/.243/.279	.095	.280	9	6	36%	6%	41	-2.3	.209/.269/.331	.122	.321	13	4	37%	6%	66	-0.6	.217/.288/.382	.165	.309	21	2	35%	6%	85	+0.6
✕Michael Chavis 2016 · A	20	35→45	46→60	45	33	.185/.226/.311	.126	.279	13	7	38%	4%	42	-2.3	.206/.253/.358	.152	.281	18	5	33%	5%	66	-0.6	.235/.292/.438	.203	.304	29	3	32%	6%	100	+1.1
✕Edwin Sanchez 2023 · A	18	41	44→45	44→50	46	.203/.288/.316	.113	.290	11	6	32%	9%	70	-0.3	.198/.307/.305	.107	.277	10	9	29%	11%	77	+0.1	.175/.316/.285	.110	.237	10	11	27%	13%	76	+0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)