Yovanny Rodriguez

C FCL Mets

Age 20 R/R 6'0" / 175 lbs ROK H -5% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP35OGV rank#563ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Mets Oran…	181	.219/.363/.356	2	4	35	—	.130/.251/.201
2025	18	ROKDSL Mets Oran…	168	.331/.452/.493	2	3	66	—	.196/.307/.287
2026	19	A/ROKNYM	282	.259/.363/.460	13	5	57	—	.183/.262/.319
2027PROJMLE	20	MLBNYM	392	.204/.278/.329	9	5	72	0.2
2028PROJ25% MLB	21	MLBNYM	56	.203/.278/.333	1	1	76	0.1
2029PROJ38% MLB	22	MLBNYM	128	.207/.282/.342	3	2	80	0.2

Next 3 projected WAR 0.5Projected 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$4M+1

Skills · percentileMiLB Statcast 2026 A

BB%57

Chase%52

Max EV46

Speed41

K%15

Z-Con%7

Career WAR0.0 WAR median (P10 0.0 / P90 2.8, comp-based) · star 1% · didn't stick 90%

CompsCristian Santana (age 20) · Sherten Apostel (age 20) · Agustín Ramírez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 169 proj PA

wRC+†72

AVG/OBP/SLG.203 / .275 / .326

PA169

HR4

K%30

BB%8

ISO125

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$11M 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	+0.4	$1M	+$0.7M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Arb-1	$3M	+0.6	$2M	+$0.0M
2034	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2035	Arb-3	$5M	+0.4	$0.9M	+$0.0M (cut)
Totals		$5M		$8M	+$3M

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)
2024	17	ROK	DSL Mets Orange	—	181	146	32	8	3	2	30	34	3	4	2	219	363	356	719	137	268	19	17	329	35	—	—	—	—	—	—
2025	18	ROK	DSL Mets Orange	—	168	136	45	14	1	2	25	39	5	3	0	331	452	493	944	162	443	23	15	418	66	—	—	—	—	—	—
2026	19	A	St. Lucie Mets	—	102	89	20	3	0	6	11	36	0	2	1	225	310	461	771	236	286	35	11	333	49	—	—	—	—	—	—
2026	19	ROK	FCL Mets	—	180	150	42	4	1	7	24	48	4	3	2	280	393	460	853	180	361	27	13	379	61	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Mets Orange	—	181	154	20	4	2	1	22	42	3	4	2	130	251	201	453	71	172	23	12	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Orange	—	168	143	28	8	1	1	18	49	5	3	0	196	307	287	594	91	273	29	11	266	66	—	—	—	—	—	—
2026	19	A MLE	St. Lucie Mets	—	102	92	15	2	0	4	8	49	0	2	1	163	230	315	545	152	248	48	8	240	49	—	—	—	—	—	—
2026	19	ROK MLE	FCL Mets	—	180	159	31	3	1	5	15	69	4	3	2	195	281	321	602	126	281	38	8	258	61	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mets Orange	—	181	154	20	4	2	1	22	42	3	4	2	130	251	201	453	71	168	23	12	220	35	—	—	—	—	—	—
2024	17	ROK RAW	DSL Mets Orange	—	181	146	32	8	3	2	30	34	3	4	2	219	363	356	719	137	268	19	17	329	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Orange	—	168	143	28	8	1	1	18	49	5	3	0	196	307	287	594	91	284	29	11	266	66	—	—	—	—	—	—
2025	18	ROK RAW	DSL Mets Orange	—	168	136	45	14	1	2	25	39	5	3	0	331	452	493	944	162	443	23	15	418	66	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	282	251	46	5	1	9	23	118	4	5	3	183	263	319	581	135	289	42	8	251	56	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	282	239	62	7	1	13	35	84	4	5	3	259	363	460	824	201	336	30	12	362	56	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mets Orange	—	181	154	20	4	2	1	22	42	3	4	2	130	251	201	453	71	172	23	12	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Orange	—	168	143	28	8	1	1	18	49	5	3	0	196	307	287	594	91	273	29	11	266	66	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	282	253	46	5	1	9	23	118	4	5	3	182	263	316	579	134	269	42	8	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Mets Orange	—	181	154	20	4	2	1	22	42	3	4	2	130	251	201	453	71	172	23	12	220	35	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mets Orange	—	168	143	28	8	1	1	18	49	5	3	0	196	307	287	594	91	273	29	11	266	66	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	282	253	46	5	1	9	23	118	4	5	3	182	263	316	579	134	269	42	8	251	56	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	NYM	0%	392	353	72	13	2	9	32	117	4	5	2	204	278	329	607	125	274	30	8	274	72	-13	+0	-1	+7	+8	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	NYM	25%	227	204	43	8	1	6	19	66	2	3	1	209	283	341	625	132	276	29	8	281	76	-6	+0	-0	+4	+5	0.2
2029	22	MLB MLE	NYM	38%	336	301	65	12	2	9	28	96	4	4	1	213	287	350	638	138	278	29	8	287	80	-8	+0	-0	+6	+7	0.6
2030	23	MLB MLE	NYM	45%	408	367	79	14	2	11	34	115	4	5	2	216	291	357	647	141	279	28	8	290	83	-8	+0	+0	+7	+9	0.8
2031	24	MLB MLE	NYM	48%	445	400	87	16	2	12	37	123	5	5	2	218	293	362	655	143	281	28	8	293	85	-8	+0	+1	+8	+10	1.1
2032	25	MLB MLE	NYM	50%	445	399	87	16	2	12	38	122	5	5	2	220	295	365	660	145	281	27	9	295	86	-7	+0	+1	+8	+10	1.1
2033	26	MLB MLE	NYM	50%	445	399	87	16	2	12	38	122	5	4	2	220	295	364	659	145	281	27	9	295	86	-7	+0	+1	+8	+10	1.1
2034	27	MLB MLE	NYM	50%	445	399	87	16	2	12	38	123	5	4	2	219	294	362	655	143	280	28	9	294	85	-8	+0	+1	+8	+10	1.0
2035	28	MLB MLE	NYM	50%	445	399	87	16	2	12	38	124	5	3	2	217	292	357	649	140	279	28	9	291	83	-9	-0	-0	+8	+10	0.9
2036	29	MLB MLE	NYM	49%	445	401	86	15	2	12	37	125	4	3	2	214	289	351	639	136	278	28	8	287	81	-10	-0	-1	+8	+10	0.6
2037	30	MLB MLE	NYM	48%	445	401	84	15	2	11	37	126	4	2	3	211	285	343	628	131	276	28	8	283	77	-12	-1	-1	+8	+10	0.3
2038	31	MLB MLE	NYM	52%	426	384	79	14	2	10	35	123	4	3	3	207	280	333	613	126	272	29	8	277	73	-14	-1	-2	+8	+9	0.1
2028	21	MLB CTX	NYM	25%	56	50	10	2	0	1	5	16	1	1	0	203	278	333	611	130	267	29	9	275	76	-2	+0	-0	+1	+1	0.1
2029	22	MLB CTX	NYM	38%	128	115	24	4	1	3	11	37	1	2	1	207	282	342	624	135	269	29	9	281	80	-3	+0	-0	+2	+3	0.2
2030	23	MLB CTX	NYM	45%	185	166	35	6	1	5	15	52	2	2	1	210	285	348	633	138	270	28	8	285	83	-4	+0	+0	+3	+4	0.4
2031	24	MLB CTX	NYM	48%	214	192	41	7	1	6	18	59	2	2	1	212	288	353	640	140	272	28	8	288	85	-4	+0	+0	+4	+5	0.5
2032	25	MLB CTX	NYM	50%	221	198	42	7	1	6	19	61	2	2	1	214	289	356	645	142	272	28	9	289	86	-4	+0	+0	+4	+5	0.6
2033	26	MLB CTX	NYM	50%	225	202	43	8	1	6	19	62	2	2	1	214	289	355	644	142	272	28	8	289	86	-4	+0	+0	+4	+5	0.6
2034	27	MLB CTX	NYM	50%	223	200	42	7	1	6	19	62	2	2	1	213	288	353	641	140	271	28	9	288	85	-4	+0	+0	+4	+5	0.5
2035	28	MLB CTX	NYM	50%	221	198	41	7	1	6	19	61	2	2	1	211	286	348	634	137	270	28	9	285	83	-4	+0	-0	+4	+5	0.4
2036	29	MLB CTX	NYM	49%	216	194	41	7	1	6	18	61	2	1	1	208	283	342	625	133	269	28	8	281	81	-5	-0	-0	+4	+5	0.3
2037	30	MLB CTX	NYM	48%	212	190	39	7	1	5	18	60	2	1	1	205	280	334	614	129	267	28	8	277	77	-6	-0	-1	+4	+5	0.2
2038	31	MLB CTX	NYM	52%	220	198	40	7	1	5	18	63	2	1	2	201	275	324	599	123	264	29	8	271	73	-7	-1	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2121	1903	398	69	10	55	179	594	20	18	11	209	284	343	627	133	271	28	8	283	78	-46	-1	-1	+38	+46	3.7
/ 162G	—	A+C		—	650	583	122	21	3	17	55	182	6	6	3	209	284	343	627	134	271	28	8	283	78	-14	-0	-0	+12	+14	1.1
Career	—	MLE		—	5312	4753	997	181	26	134	456	1524	61	55	28	210	287	343	631	134	276	29	9	283	78	-104	-1	-3	+84	+101	7.9
/ 162G	—	MLE		—	650	582	121	22	3	16	56	186	7	7	3	208	285	338	624	131	273	29	9	283	78	-14	-0	-0	+12	+14	1.1

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 ROKFCL Mets · 180 PAwOBA .373 → .258 (−115)K% 26.7% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.000	×1.440	—	—	38.40%
BB% (unintentional) /PA	13.33%	÷1.000	×0.620	—	×0.995	8.23%
HBP% /PA	2.22%	—	×0.720	—	×0.995	1.59%
Singles /BIP	29.41%	÷1.000	×0.820	×0.990	×0.995	23.76%
Doubles /BIP	3.92%	÷1.000	×0.720	×0.990	×0.995	2.78%
Triples /BIP	0.98%	÷1.000	×0.720	×0.990	×0.995	0.70%
Home runs /BIP	6.86%	÷1.000	×0.780	—	×0.995	5.33%

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 ×0.990.

Result: wOBA .373 → .258; ISO .180 → .125; BABIP .361 → .281. 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).

2026 ASt. Lucie Mets · 102 PAwOBA .330 → .240 (−90)K% 35.3% → 48.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.29%	÷1.000	×1.360	—	—	48.00%
BB% (unintentional) /PA	10.78%	÷1.000	×0.690	—	×1.030	7.66%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	20.75%	÷1.000	×0.920	×0.961	×1.030	18.90%
Doubles /BIP	5.66%	÷1.000	×0.830	×0.961	×1.030	4.65%
Triples /BIP	0.00%	÷1.000	×0.910	×0.961	×1.030	0.00%
Home runs /BIP	11.32%	÷1.000	×0.800	—	×1.030	9.33%

Factors used: level-wide A 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 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .330 → .240; ISO .236 → .166; BABIP .286 → .248. 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 Mets Orange · 168 PAwOBA .413 → .266 (−146)K% 23.2% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.21%	÷0.974	×1.220	—	—	29.07%
BB% (unintentional) /PA	14.88%	÷0.971	×0.700	—	×0.995	10.67%
HBP% /PA	2.98%	—	×0.700	—	×0.995	2.07%
Singles /BIP	28.87%	÷1.012	×0.680	×0.950	×0.995	18.33%
Doubles /BIP	14.43%	÷0.944	×0.600	×0.950	×0.995	8.67%
Triples /BIP	1.03%	÷1.057	×0.600	×0.950	×0.995	0.55%
Home runs /BIP	2.06%	÷0.873	×0.470	—	×0.995	1.10%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 102, 2B 89, 3B 111, K 95, BB 94 — 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 .413 → .266; ISO .162 → .094; BABIP .443 → .273. 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 Mets Orange · 181 PAwOBA .325 → .220 (−106)K% 18.8% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.78%	÷0.990	×1.220	—	—	23.16%
BB% (unintentional) /PA	16.57%	÷0.950	×0.700	—	×1.008	12.30%
HBP% /PA	1.66%	—	×0.700	—	×1.008	1.17%
Singles /BIP	16.96%	÷0.953	×0.680	×0.963	×1.008	11.75%
Doubles /BIP	7.14%	÷1.064	×0.600	×0.963	×1.008	3.91%
Triples /BIP	2.68%	÷0.921	×0.600	×0.963	×1.008	1.69%
Home runs /BIP	1.79%	÷0.996	×0.470	—	×1.008	0.85%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 91, 2B 113, 3B 84, K 98, BB 90 — 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 ×0.963.

Result: wOBA .325 → .220; ISO .137 → .077; BABIP .268 → .172. 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
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#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
#3John Bateman'63-'72 * career totals — 10 seasons, 3,585 PA	5.4	3,585	81	10	229*	274*	381*	+64	+0	8.2	8.5
/162	664	15	2	+11.9	+0.0	1.5	pk7: 9
#4Fred 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 6 projected seasons	3.4	2,290	60	21	216	287	354	+41	+0	5.3	4.7
/162	664	17	6	+11.9	+0.0	1.5	pk7: 4
#5J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	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
Yovanny Rodriguez (OGILVIE)	20	—	—	—	—	203/275/326	124	274	4	2	30%	8%	72	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cristian Santana 2024 · A	20	30→20	43→45	43→45	51	156/285/259	103	241	11	8	36%	12%	63	-1.4	160/286/290	130	238	16	6	37%	13%	70	-0.9	140/273/279	139	188	20	5	36%	13%	62	-0.8
✕Sherten Apostel 2019 · A	20	38→35	44→45	44→40	52	188/285/303	114	260	11	5	30%	11%	70	-0.9	200/268/325	125	295	14	3	35%	8%	68	-1.0	194/260/322	129	284	16	1	36%	7%	61	-0.9
✕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
✕Deivy Grullón 2017 · A	21	44→45	42→55	38→30	37	215/257/318	103	300	10	2	31%	5%	61	-1.5	233/271/374	141	313	17	2	30%	5%	80	-0.2	236/277/397	161	310	22	0	31%	5%	85	+0.2
✕John Ryan Murphy 2011 · A	20	45→48	43→50	42→40	46	223/279/331	108	276	11	5	23%	7%	72	-0.7	228/273/343	115	275	10	4	20%	6%	73	-0.6	243/294/362	119	301	12	0	23%	6%	84	+0.1
✕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
✕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
✕Óscar Hernández 2014 · A	21	42	46→50	42→40	47	213/290/340	126	256	14	4	22%	7%	80	-0.1	204/250/316	112	270	10	4	27%	5%	58	-1.7	166/217/270	103	212	12	1	27%	5%	33	-1.2
✕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
✕Rudy van Heydoorn 2009 · A	20	36	39→40	42→50	52	178/287/262	84	243	7	10	28%	11%	62	-1.4	171/257/257	86	259	7	6	34%	9%	49	-2.4	134/224/213	79	200	8	2	35%	9%	27	-1.2
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Joe DeCarlo 2014 · A	20	39→38	42→50	41→30	41	185/265/289	103	303	9	3	39%	8%	59	-1.7	188/272/295	107	292	10	2	36%	8%	63	-1.3	191/272/338	147	261	18	1	32%	8%	70	-0.5
✕Luis Baez 2024 · A	20	38→36	47→50	44→45	41	197/261/332	135	272	14	6	32%	7%	67	-1.1	208/253/329	121	296	13	9	33%	6%	62	-1.4	203/243/316	113	284	13	10	33%	5%	53	-1.0
✕Julian Leon 2016 · A	20	40	43→45	41→30	36	197/254/304	107	296	11	2	36%	6%	58	-1.7	194/259/311	117	313	13	2	40%	7%	61	-1.5	181/262/310	129	285	17	0	40%	8%	61	-0.6
✕Kyle Higashioka 2011 · A	21	41→43	42→60	41→45	44	201/257/300	99	250	9	3	23%	6%	57	-1.8	198/245/316	118	243	13	4	24%	5%	57	-1.8	230/276/419	189	272	26	4	26%	6%	93	+0.4
✕Austin Hedges 2013 · A	20	46→41	43→60	45	42	226/274/339	114	275	10	12	22%	5%	73	-0.6	216/261/316	100	272	8	7	23%	5%	62	-1.4	230/269/417	186	275	25	4	26%	4%	90	+0.4
✕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
✕Miguel Palma 2022 · A	20	43	43→45	47→40	50	206/312/318	112	281	10	9	28%	10%	84	+0.1	220/283/339	119	285	13	4	26%	7%	76	-0.4	216/276/324	108	281	13	2	27%	6%	68	-0.5
✕Carlos Cauro 2024 · A	19	40	40	46→45	49	193/286/282	89	274	7	4	30%	10%	65	-1.2	204/280/311	107	300	11	5	33%	8%	70	-0.9	198/280/293	95	285	12	5	32%	8%	65	-0.4
✕Kevin Padlo 2017 · A	21	37→42	47→55	46→50	47	190/279/325	135	275	14	9	34%	10%	73	-0.6	191/275/329	138	281	14	8	34%	9%	72	-0.7	196/269/361	165	267	20	12	33%	8%	75	-0.3

Yovanny Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps