Hansel Jimenez

3B ACL Reds

Age 20 R/R 6'1" / 179 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKCIN	17	.429/.529/.500	0	4	85	—	.267/.353/.333
2025	18	ROK/INTL2 orgs	289	.249/.367/.405	9	15	72	—	.153/.261/.226
2026	19	ROKCIN	82	.185/.346/.323	3	4	29	—	.129/.247/.214
2027PROJMLE	20	MLBCIN	192	.200/.271/.297	3	4	62	-0.1
2028PROJ25% MLB	21	MLBCIN	25	.207/.279/.318	1	0	67	-0.0
2029PROJ38% MLB	22	MLBCIN	72	.211/.283/.331	2	1	72	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$3M2034Arb-2$5M+1

Skills · percentileMiLB Statcast 2026 Rk

ISO60

BB%53

Speed38

K%31

Chase%25

wOBA20

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsJhostynxon Garcia (age 20) · Jhonkensy Noel (age 20) · Yu Chang (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 46 proj PA

wRC+†62

AVG/OBP/SLG.198 / .269 / .294

PA46

HR1

K%30

BB%7

ISO97

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$15M ctrl surplus

Contract

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
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	$0.8M	—	—	—
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	$3M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-2	$5M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$7M	—	—	—
Totals		$0.0M		$1M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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	85	—	—	—	—	—	—
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	42	—	—	—	—	—	—
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	—	—	—	—	—	—
2026	19	ROK	ACL Reds	—	82	65	12	0	0	3	13	21	3	4	0	185	346	323	669	138	220	26	16	313	29	—	—	—	—	—	—
▸ 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	5	0	4	0	267	353	333	686	67	384	29	12	294	85	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	147	124	19	3	0	2	9	47	9	12	1	153	261	226	486	73	201	32	6	230	42	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	82	70	9	0	0	2	8	30	3	4	0	129	247	214	461	86	167	37	10	211	29	—	—	—	—	—	—
2024	17	ROK MLE	DSL Reds	—	17	15	4	1	0	0	2	5	0	4	0	267	353	333	686	67	400	29	12	294	85	—	—	—	—	—	—
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	85	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	289	250	40	7	0	5	18	92	13	15	3	160	253	248	501	88	222	32	6	230	42	—	—	—	—	—	—
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	42	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	82	70	9	0	0	2	8	30	3	4	0	129	247	214	461	86	184	37	10	211	29	—	—	—	—	—	—
2026	19	ROK RAW	ACL Reds	—	82	65	12	0	0	3	13	21	3	4	0	185	346	323	669	138	220	26	16	313	29	—	—	—	—	—	—
2024	17	ROK MLE	DSL Reds	—	17	15	4	1	0	0	2	5	0	4	0	267	353	333	686	67	384	29	12	294	85	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	289	256	40	7	0	5	18	92	13	15	3	156	253	242	495	86	201	32	6	230	42	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	82	71	9	0	0	2	8	30	3	4	0	127	247	211	458	85	167	37	10	211	29	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Reds	—	17	15	4	1	0	0	2	5	0	4	0	267	353	333	686	67	384	29	12	294	85	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	289	256	40	7	0	5	18	92	13	15	3	156	253	242	495	86	201	32	6	230	42	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	82	71	9	0	0	2	8	30	3	4	0	127	247	211	458	85	167	37	10	211	29	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CIN	0%	192	173	34	5	1	3	14	58	3	4	1	200	271	297	568	97	276	30	7	259	62	-9	+0	-1	+1	+4	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CIN	25%	101	91	19	3	1	2	7	30	2	2	0	205	277	311	588	107	278	30	7	267	67	-4	+0	-0	+0	+2	-0.1
2029	22	MLB MLE	CIN	38%	189	170	36	6	1	4	14	55	3	3	1	209	281	324	605	115	280	29	7	274	72	-6	+0	-0	+1	+4	-0.2
2030	23	MLB MLE	CIN	45%	284	256	55	8	2	7	21	81	5	4	1	213	285	334	619	121	281	29	7	280	75	-8	+0	+0	+1	+6	-0.1
2031	24	MLB MLE	CIN	48%	364	328	71	11	2	9	27	103	6	5	1	216	288	343	631	127	283	28	7	285	79	-9	+1	+1	+1	+8	0.1
2032	25	MLB MLE	CIN	50%	408	367	80	13	2	10	31	114	7	6	1	218	291	350	640	131	284	28	8	288	81	-9	+1	+1	+1	+9	0.3
2033	26	MLB MLE	CIN	50%	435	392	85	14	2	11	33	122	7	6	1	219	291	352	643	133	283	28	8	289	82	-9	+1	+1	+2	+9	0.3
2034	27	MLB MLE	CIN	50%	445	401	87	14	2	11	34	125	7	6	1	217	290	349	639	132	283	28	8	288	81	-10	+1	+1	+2	+10	0.3
2035	28	MLB MLE	CIN	50%	446	402	86	14	2	11	34	126	7	6	1	215	288	344	632	129	281	28	8	285	79	-11	+1	+0	+2	+10	0.1
2036	29	MLB MLE	CIN	49%	439	396	84	13	2	11	33	126	7	5	1	213	285	338	622	125	280	29	8	281	76	-12	+1	-1	+2	+10	-0.1
2028	21	MLB CTX	CIN	25%	25	23	5	1	0	1	2	7	0	0	0	207	279	318	596	111	279	28	8	271	67	-1	+0	-0	+0	+1	-0.0
2029	22	MLB CTX	CIN	38%	72	66	14	2	0	2	5	21	1	1	0	211	283	331	614	120	281	29	7	278	72	-2	+0	-0	+0	+2	-0.1
2030	23	MLB CTX	CIN	45%	129	116	25	4	1	3	10	37	2	2	0	215	287	342	629	127	283	29	8	284	75	-4	+0	+0	+0	+3	-0.0
2031	24	MLB CTX	CIN	48%	175	157	35	5	1	5	13	50	3	3	1	218	291	351	642	133	284	29	7	289	79	-4	+0	+0	+1	+4	0.1
2032	25	MLB CTX	CIN	50%	202	182	40	6	1	6	15	57	3	3	1	221	293	358	652	138	285	28	7	292	81	-5	+0	+0	+1	+4	0.1
2033	26	MLB CTX	CIN	50%	220	197	44	7	1	6	17	62	4	3	1	221	293	361	654	140	285	28	8	294	82	-5	+0	+0	+1	+5	0.1
2034	27	MLB CTX	CIN	50%	223	200	44	7	1	6	17	63	4	3	1	220	292	358	650	138	284	28	8	292	81	-5	+0	+0	+1	+5	0.1
2035	28	MLB CTX	CIN	50%	222	199	44	7	1	6	17	63	4	3	1	218	290	353	643	135	283	28	8	289	79	-6	+0	+0	+1	+5	0.0
2036	29	MLB CTX	CIN	49%	213	192	41	6	1	6	16	61	3	2	1	215	287	346	633	131	281	29	8	285	76	-6	+0	-0	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1481	1332	292	45	7	41	112	421	24	20	6	219	292	356	647	137	286	28	8	289	74	-38	+2	+1	+5	+32	0.3
/ 162G	—	A+C		—	650	585	128	20	3	18	49	185	11	9	3	219	292	356	647	137	286	28	8	289	74	-17	+1	+0	+2	+14	0.1
Career	—	MLE		—	3545	3180	664	105	16	84	265	1023	68	67	11	209	284	331	615	122	277	29	7	278	74	-82	+6	+2	+11	+68	0.5
/ 162G	—	MLE		—	650	583	121	19	3	15	49	188	12	12	2	208	283	328	610	120	276	29	8	278	74	-17	+1	+0	+2	+14	0.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKACL Reds · 82 PAwOBA .306 → .211 (−95)K% 25.6% → 36.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.61%	÷1.000	×1.440	—	—	36.88%
BB% (unintentional) /PA	15.85%	÷1.000	×0.620	—	×0.995	9.78%
HBP% /PA	3.66%	—	×0.720	—	×0.995	2.62%
Singles /BIP	20.45%	÷1.000	×0.820	×0.950	×0.995	15.85%
Doubles /BIP	0.00%	÷1.000	×0.720	×0.950	×0.995	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	×0.950	×0.995	0.00%
Home runs /BIP	6.82%	÷1.000	×0.780	—	×0.995	5.29%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .306 → .211; ISO .138 → .102; BABIP .220 → .167. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Reds · 147 PAwOBA .367 → .230 (−138)K% 25.9% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.85%	÷0.993	×1.220	—	—	31.75%
BB% (unintentional) /PA	9.52%	÷1.038	×0.700	—	×0.995	6.39%
HBP% /PA	6.12%	—	×0.700	—	×0.995	4.26%
Singles /BIP	25.93%	÷0.994	×0.680	×0.950	×0.995	16.77%
Doubles /BIP	7.41%	÷1.065	×0.600	×0.950	×0.995	3.94%
Triples /BIP	0.00%	÷0.900	×0.600	×0.950	×0.995	0.00%
Home runs /BIP	6.17%	÷0.994	×0.470	—	×0.995	2.91%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 113, 3B 80, K 99, BB 108 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .367 → .230; ISO .176 → .090; BABIP .333 → .201. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Reds · 17 PAwOBA .454 → .294 (−160)K% 23.5% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷0.957	×1.220	—	—	30.00%
BB% (unintentional) /PA	17.65%	÷0.994	×0.700	—	×1.008	12.52%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	50.00%	÷1.068	×0.680	—	×1.008	32.09%
Doubles /BIP	10.00%	÷0.960	×0.600	—	×1.008	6.30%
Triples /BIP	0.00%	÷0.901	×0.600	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.136	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 114, 2B 92, 3B 80, K 91, BB 99 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .454 → .294; ISO .071 → .044; BABIP .600 → .384. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Chris Woodward'99-'11 * career totals — 9 seasons, 1,896 PA	2.9	1,896	33	9	230*	288*	354*	+9	+15	1.1	2.4
/162	664	12	3	+3.1	+5.4	0.4	pk7: 4
#3Luis Rivera'86-'98 * career totals — 8 seasons, 2,453 PA	3.7	2,453	28	20	232*	291*	357*	+24	+5	1.2	2.3
/162	664	8	5	+6.4	+1.4	0.3	pk7: 3
#4Ryan 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 5 projected seasons	2.3	1,527	37	21	216	285	343	+5	+6	1.0	1.1
/162	664	16	9	+2.4	+2.5	0.4	pk7: 1
#5Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0

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)	20	—	—	—	—	198/269/294	96	276	1	1	30%	7%	62	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jhostynxon Garcia 2023 · A	20	36→44	40→50	47→50	46	175/264/271	96	263	7	8	34%	10%	55	-2.0	204/267/339	135	290	14	10	33%	7%	70	-0.8	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Jhonkensy Noel 2021 · A	20	40→42	43→55	47→45	42	202/266/309	107	265	11	7	28%	6%	63	-1.3	222/273/394	172	288	23	5	31%	5%	86	+0.3	200/264/382	182	250	25	1	31%	6%	78	-0.3
✕Yu Chang 2016 · A	20	41→47	42→50	45	38	205/254/311	106	279	10	6	30%	5%	59	-1.7	206/263/350	144	289	15	8	33%	6%	72	-0.7	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Rodolfo Castro 2019 · A	20	39→42	44→55	47→50	37	198/240/315	117	272	11	5	31%	5%	54	-2.0	203/245/352	149	282	17	6	33%	5%	65	-1.2	211/274/367	156	276	20	7	30%	7%	79	-0.2
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Jose Cordoba 2023 · A	20	37	41→40	44→55	40	185/250/278	93	262	9	9	32%	6%	50	-2.3	205/259/296	91	278	6	11	27%	6%	57	-1.8	203/257/294	91	267	4	15	24%	5%	53	-0.9
✕Cristian Santana 2017 · A	20	37→47	41→50	39→30	36	189/222/283	94	250	9	4	28%	4%	39	-3.1	234/258/361	127	319	16	2	31%	3%	72	-0.7	256/283/351	96	338	10	0	27%	3%	75	-0.3
✕Jesús Báez 2024 · A	19	35→41	40→55	45	46	177/246/265	88	234	7	9	27%	8%	46	-2.6	218/275/368	150	257	19	8	23%	6%	80	-0.1	226/279/407	181	249	27	8	22%	6%	89	+0.4
✕Rodolfo Durán 2018 · A	20	43	41→50	46→45	39	212/254/309	97	284	9	6	28%	5%	57	-1.8	212/248/354	142	283	18	3	31%	4%	66	-1.1	229/272/378	149	281	17	3	25%	5%	78	-0.2
✕Eric Wood 2013 · A	20	44→50	43→55	42→45	43	217/276/330	113	284	10	6	27%	6%	72	-0.7	217/266/304	87	308	5	4	29%	6%	61	-1.5	212/274/375	163	269	18	7	28%	7%	79	-0.1
✕Willy García 2013 · A	20	38→48	46→50	44→45	36	200/242/321	121	275	14	8	33%	5%	57	-1.8	216/248/355	139	330	16	8	38%	4%	66	-1.1	240/282/369	129	333	12	4	30%	5%	79	-0.1
✕Gabriel Quintana 2013 · A	20	39→44	42→55	43→45	36	197/248/302	105	276	10	5	32%	4%	55	-2.0	222/253/347	125	317	14	4	34%	3%	67	-1.1	216/243/351	135	301	16	3	34%	2%	61	-1.2
✕Yunior Garcia 2021 · A	20	38→48	41→45	48→30	36	190/240/287	97	286	9	7	36%	5%	48	-2.5	223/273/336	113	325	11	4	33%	5%	72	-0.7	228/278/346	118	323	12	2	32%	5%	72	-0.3
✕Agustín Ramírez 2022 · A	20	36→46	43→55	43→55	40	184/244/295	111	273	10	4	35%	7%	51	-2.2	225/286/365	140	284	15	12	25%	7%	84	+0.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Jeter Downs 2018 · A	20	42→41	43→50	47→55	47	209/276/317	108	258	11	9	23%	7%	69	-0.9	216/283/359	143	277	16	17	27%	7%	81	-0.1	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Bryan Ramos 2022 · A	20	41→42	45→50	49→50	42	206/277/332	126	281	12	8	30%	7%	73	-0.6	219/279/362	143	273	18	5	26%	6%	80	-0.1	214/275/354	140	261	19	5	25%	6%	74	-0.4
●Esmerlyn Valdez 2024 · A	20	41→44	42→60	45→30	40	201/268/308	107	300	10	5	34%	7%	63	-1.3	207/289/374	167	303	21	3	37%	9%	88	+0.4	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Bubba Thompson 2018 · A	20	42→52	42→50	45→65	36	205/255/311	106	296	9	9	33%	5%	59	-1.6	199/247/301	102	334	8	20	40%	5%	54	-2.0	251/295/378	127	347	11	46	29%	5%	86	+0.2
✕Rainel Rosario 2009 · A	20	36→46	40→50	45→50	39	175/249/270	95	283	8	9	38%	8%	49	-2.4	208/275/324	116	312	9	9	34%	7%	70	-0.8	246/301/378	133	280	16	6	18%	7%	88	+0.4
✕Clint Coulter 2014 · A	21	41→43	43→50	45→40	42	205/271/311	106	279	10	5	29%	7%	65	-1.2	214/288/349	135	274	14	4	26%	7%	81	-0.1	200/266/338	137	245	16	4	25%	5%	67	-0.4

Hansel Jimenez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps