Jhonny Chaparro

C DSL Cardinals

Age 20 L/R 6'0" / 176 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1256ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	18	ROKSTL	85	.200/.373/.246	0	1	28	—	.143/.277/.186
2026	19	ROKSTL	98	.247/.340/.353	1	0	19	—	.146/.216/.191
2027PROJMLE	20	MLBSTL	208	.216/.286/.293	1	2	65	0.0
2028PROJ34% MLB	21	MLBSTL	37	.221/.291/.306	0	0	70	0.0
2029PROJ48% MLB	22	MLBSTL	95	.224/.295/.318	1	1	75	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Whiff%68

K%59

Z-Con%54

ISO44

BB%29

wOBA26

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsDarrien Miller (age 20) · Carlos Rodriguez (age 20) · Anthony Seigler (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 53 proj PA

wRC+†65

AVG/OBP/SLG.214 / .284 / .290

PA53

HR0

K%25

BB%8

ISO76

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2038	Arb-3	$0.6M	—	—	—
Totals		$3M		$3M	+$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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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	18	ROK	DSL Cardinals	—	85	65	13	1	1	0	15	8	3	1	1	200	373	246	620	46	220	9	18	300	28	—	—	—	—	—	—
2026	19	ROK	DSL Cardinals	—	98	85	21	4	1	1	12	19	0	0	0	247	340	353	693	106	303	19	12	314	19	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	18	ROK MLE	DSL Cardinals	—	85	70	10	1	1	0	10	10	3	1	1	143	277	186	463	43	144	12	12	210	28	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cardinals	—	98	89	13	2	1	0	8	23	0	0	0	146	216	191	408	45	188	23	8	196	19	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	85	70	10	1	1	0	10	10	3	1	1	143	277	186	463	43	161	12	12	210	28	—	—	—	—	—	—
2025	18	ROK RAW	DSL Cardinals	—	85	65	13	1	1	0	15	8	3	1	1	200	373	246	620	46	220	9	18	300	28	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cardinals	—	98	89	13	2	1	0	8	23	0	0	0	146	216	191	408	45	194	23	8	196	19	—	—	—	—	—	—
2026	19	ROK RAW	DSL Cardinals	—	98	85	21	4	1	1	12	19	0	0	0	247	340	353	693	106	303	19	12	314	19	—	—	—	—	—	—
2025	18	ROK MLE	DSL Cardinals	—	85	72	10	1	1	0	10	10	3	1	1	139	277	181	458	42	144	12	12	210	28	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cardinals	—	98	90	13	2	1	0	8	23	0	0	0	144	216	189	405	44	188	23	8	196	19	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	18	ROK MLE	DSL Cardinals	—	85	72	10	1	1	0	10	10	3	1	1	139	277	181	458	42	144	12	12	210	28	—	—	—	—	—	—
2026	19	ROK MLE	DSL Cardinals	—	98	90	13	2	1	0	8	23	0	0	0	144	216	189	405	44	188	23	8	196	19	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	STL	0%	208	188	40	6	2	1	16	51	2	2	1	216	286	293	579	76	286	25	8	265	65	-9	+0	+0	+4	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	STL	34%	107	97	21	3	1	1	8	26	1	1	0	220	291	306	597	86	288	24	7	272	70	-4	+0	+0	+2	+2	0.1
2029	22	MLB MLE	STL	48%	196	176	39	6	2	2	16	47	2	2	1	223	294	318	613	95	289	24	8	278	75	-6	+0	+0	+4	+4	0.2
2030	23	MLB MLE	STL	54%	291	263	59	9	3	4	23	70	3	3	1	226	297	329	626	102	290	24	8	284	78	-8	+0	+0	+5	+6	0.4
2031	24	MLB MLE	STL	55%	369	332	76	12	3	6	30	88	4	4	1	229	300	337	637	108	291	24	8	288	81	-8	+0	+0	+7	+8	0.7
2032	25	MLB MLE	STL	56%	412	372	85	14	3	7	33	98	4	4	2	231	302	344	646	114	291	24	8	291	83	-8	+0	+0	+7	+9	0.8
2033	26	MLB MLE	STL	56%	437	394	92	15	4	8	35	104	5	4	2	231	302	347	649	116	291	24	8	292	84	-8	+0	+0	+8	+9	0.9
2034	27	MLB MLE	STL	55%	445	401	93	15	4	8	36	107	5	4	2	230	301	344	645	114	291	24	8	291	83	-9	+0	+0	+8	+10	0.9
2035	28	MLB MLE	STL	55%	445	402	93	15	4	8	36	108	4	4	2	228	299	339	638	111	290	24	8	288	81	-10	+0	-1	+8	+10	0.7
2036	29	MLB MLE	STL	53%	440	397	89	14	3	7	36	108	4	4	3	225	296	333	629	107	288	25	8	284	79	-11	-0	-1	+8	+10	0.4
2037	30	MLB MLE	STL	53%	431	390	87	14	3	7	34	107	4	3	4	222	292	325	617	103	286	25	8	280	75	-13	-1	-2	+8	+9	0.1
2038	31	MLB MLE	STL	57%	396	358	78	12	3	6	31	100	4	3	17	218	287	315	602	97	283	25	8	274	71	-14	-6	-3	+7	+9	-0.7
2028	21	MLB CTX	STL	34%	37	34	7	1	0	0	3	9	0	0	0	221	291	306	598	86	290	24	8	273	70	-1	+0	+0	+1	+1	0.0
2029	22	MLB CTX	STL	48%	95	86	19	3	1	1	8	23	1	1	0	224	295	318	613	94	291	24	8	278	75	-3	+0	+0	+2	+2	0.1
2030	23	MLB CTX	STL	54%	158	142	32	5	1	2	13	38	2	2	1	227	298	327	625	100	292	24	8	283	78	-4	+0	+0	+3	+3	0.2
2031	24	MLB CTX	STL	55%	205	184	43	7	2	3	17	49	2	2	1	229	300	336	636	106	293	24	8	288	81	-5	+0	+0	+4	+4	0.4
2032	25	MLB CTX	STL	56%	231	208	48	8	2	4	19	55	2	2	1	231	302	342	644	111	293	24	8	291	83	-5	+0	+0	+4	+5	0.5
2033	26	MLB CTX	STL	56%	246	221	51	9	2	4	20	59	3	2	1	231	302	344	647	113	293	24	8	292	84	-5	+0	+0	+4	+5	0.5
2034	27	MLB CTX	STL	55%	246	221	50	8	2	4	20	59	3	2	1	230	301	342	643	112	292	24	8	290	83	-5	+0	+0	+4	+5	0.5
2035	28	MLB CTX	STL	55%	244	220	50	8	2	4	20	59	2	2	1	228	299	337	636	109	291	24	8	287	81	-5	+0	-0	+4	+5	0.4
2036	29	MLB CTX	STL	53%	235	212	49	8	2	4	19	58	2	2	2	226	296	331	627	105	290	25	8	284	79	-6	-0	-1	+4	+5	0.2
2037	30	MLB CTX	STL	53%	227	205	45	7	2	3	18	56	2	2	2	223	293	323	616	101	288	25	8	279	75	-7	-0	-1	+4	+5	0.1
2038	31	MLB CTX	STL	57%	224	202	45	7	2	3	18	56	2	1	10	218	288	313	601	95	285	25	8	273	71	-8	-4	-2	+4	+5	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2148	1935	439	71	18	32	175	521	21	18	20	227	298	332	630	105	293	24	8	285	77	-53	-4	-4	+38	+47	2.4
/ 162G	—	A+C		—	650	586	132	21	5	10	53	158	6	5	6	225	296	329	625	104	290	24	8	285	77	-16	-1	-1	+12	+14	0.7
Career	—	MLE		—	4205	3789	845	134	35	64	340	1009	44	37	36	223	295	328	622	105	285	24	8	281	77	-101	-7	-7	+72	+87	4.5
/ 162G	—	MLE		—	650	586	131	21	5	10	53	156	7	6	6	224	296	328	624	104	286	24	8	281	77	-16	-1	-1	+12	+14	0.7

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 DSLDSL Cardinals · 98 PAwOBA .310 → .196 (−114)K% 19.4% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.39%	÷1.000	×1.220	—	—	23.65%
BB% (unintentional) /PA	12.24%	÷1.000	×0.700	—	×0.995	8.53%
HBP% /PA	0.00%	—	×0.700	—	×0.995	0.00%
Singles /BIP	22.73%	÷1.000	×0.680	×0.950	×0.995	14.61%
Doubles /BIP	6.06%	÷1.000	×0.600	×0.950	×0.995	3.44%
Triples /BIP	1.52%	÷1.000	×0.600	×0.950	×0.995	0.86%
Home runs /BIP	1.52%	÷1.000	×0.470	—	×0.995	0.71%

Factors used: level-wide DSL 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 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 .310 → .196; ISO .106 → .057; BABIP .303 → .188. 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 Cardinals · 85 PAwOBA .301 → .210 (−91)K% 9.4% → 12.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.41%	÷0.961	×1.220	—	—	11.95%
BB% (unintentional) /PA	17.65%	÷1.022	×0.700	—	×1.008	12.18%
HBP% /PA	3.53%	—	×0.700	—	×1.008	2.49%
Singles /BIP	19.30%	÷1.019	×0.680	×0.990	×1.008	12.85%
Doubles /BIP	1.75%	÷0.990	×0.600	×0.990	×1.008	1.06%
Triples /BIP	1.75%	÷1.150	×0.600	×0.990	×1.008	0.91%
Home runs /BIP	0.00%	÷1.047	×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 109, 1B 104, 2B 98, 3B 130, K 92, BB 104 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .301 → .210; ISO .046 → .028; BABIP .220 → .144. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#3Sandy 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
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.3	2,199	35	19	227	295	334	+39	+28	4.0	3.9
/162	664	11	6	+11.9	+8.5	1.2	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	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
Jhonny Chaparro (OGILVIE)	20	—	—	—	—	214/284/290	76	286	0	0	25%	8%	65	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Juan Centeno 2010 · A	20	42	36→45	49→40	46	200/262/265	65	253	3	6	22%	7%	51	-2.2	235/281/297	62	301	3	6	21%	6%	64	-1.3	279/317/335	56	337	1	3	17%	5%	83	+0.0
✕Yasmil Bucce 2024 · A	19	41	38→55	49→40	44	194/265/274	79	279	5	4	30%	8%	55	-2.0	199/299/306	107	308	10	4	35%	11%	76	-0.4	192/301/328	137	300	16	2	37%	12%	79	-0.1
✕Ben Rortvedt 2018 · A	20	41	38→45	48→40	42	200/250/274	73	255	5	3	23%	5%	49	-2.4	218/274/316	98	288	8	3	26%	6%	68	-1.0	201/288/304	103	283	11	2	30%	10%	70	-0.3
✕Luis Valenzuela 2013 · A	19	41	37→45	51→45	45	196/255/276	80	259	4	6	25%	7%	51	-2.3	211/250/290	79	273	4	8	23%	5%	51	-2.2	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Mikey Romero 2024 · A	20	44→42	38→50	48→40	45	210/265/300	90	274	4	7	24%	7%	59	-1.6	210/252/353	143	281	15	4	30%	5%	68	-1.0	204/248/346	142	268	15	3	30%	5%	62	-1.0
✕Daniel Vellojin 2019 · A	19	38	37→45	47→45	51	180/266/253	73	238	4	6	25%	10%	51	-2.2	200/296/287	87	250	6	8	20%	10%	70	-0.8	188/295/296	108	247	11	6	26%	12%	69	-0.4
✕Omar Alfonzo 2023 · A	19	35→41	36→45	48→40	50	170/265/234	64	247	4	3	30%	10%	47	-2.6	207/288/311	104	312	11	4	34%	10%	72	-0.7	205/285/317	112	311	13	2	36%	9%	70	-0.6
✕Andres Melendez 2021 · A	20	43	37→50	46→40	46	206/267/283	78	262	4	5	22%	7%	57	-1.8	213/291/333	120	335	11	5	36%	9%	78	-0.3	196/288/335	139	309	13	2	37%	11%	76	-0.2
✕Angel Ortiz 2024 · A	21	40→45	39→50	47→45	40	197/244/283	86	268	6	8	28%	6%	48	-2.5	228/285/354	126	301	11	6	26%	7%	80	-0.1	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Michael De La Cruz 2016 · A	20	40	36→40	45→50	46	190/261/259	69	270	4	9	29%	8%	50	-2.3	191/256/256	65	306	3	10	35%	7%	47	-2.6	156/231/187	31	268	0	14	38%	8%	19	-1.5
✕John Whittleman 2007 · A	20	42→45	40→50	46→45	47	202/267/297	95	265	7	7	26%	8%	60	-1.6	209/290/329	120	288	11	4	28%	10%	77	-0.3	203/292/325	122	277	11	2	29%	11%	76	-0.4
✕Carlos Soto 2019 · A	20	40	40→45	43→30	46	198/266/283	86	263	8	3	27%	8%	57	-1.8	200/267/297	97	281	9	4	30%	7%	61	-1.5	168/258/285	117	236	11	0	32%	10%	54	-0.8
✕Leandro Pineda 2022 · A	20	35→45	36→50	43→45	48	168/257/234	66	242	4	7	30%	9%	44	-2.8	190/257/296	106	277	8	5	32%	7%	57	-1.8	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Randy Florentino 2021 · A	21	42	39→45	42→45	49	199/281/287	88	284	6	6	30%	10%	64	-1.3	180/242/262	82	268	8	5	34%	7%	43	-2.8	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Frank Rodriguez 2022 · A	20	40	36→45	48→30	44	190/262/257	67	265	4	4	28%	7%	50	-2.3	183/239/269	86	267	8	4	33%	5%	43	-2.8	183/244/267	84	241	9	1	27%	6%	43	-0.9
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Jason Lopez 2018 · A	20	39	37→50	47→45	46	188/260/261	73	250	5	9	26%	8%	50	-2.3	207/250/323	116	289	11	6	31%	5%	60	-1.6	192/240/305	113	271	11	8	32%	6%	50	-1.0

Jhonny Chaparro

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps