Yairo Padilla

SS Palm Beach Cardinals

Age 20 S/R 6'0" / 170 lbs A HR -14%BB -5% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP35OGV rank#487ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKSTL	162	.287/.394/.404	1	22	47	—	.184/.281/.234
2025	18	ROKSTL	148	.283/.399/.367	0	24	64	—	.228/.315/.283
2026	19	A+/ASTL	144	.266/.343/.461	4	10	87	—	.233/.287/.391
2027PROJMLE	20	MLBSTL	254	.226/.290/.348	5	6	80	0.1
2028PROJ34% MLB	21	MLBSTL	49	.231/.297/.362	1	1	86	0.1
2029PROJ48% MLB	22	MLBSTL	116	.235/.301/.375	3	3	91	0.2

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$4M2033Arb-2$6M2034Arb-3$9M

Skills · percentileMiLB Statcast 2026 A

Speed87

K%75

Max EV73

Z-Con%68

Whiff%54

Chase%36

Career WAR0.0 WAR median (P10 -0.0 / P90 18, comp-based) · star 4% · didn't stick 75%

CompsPedro Ramírez (age 20) · Juan Brito (age 20) · Alen Hanson (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 85 proj PA

wRC+†80

AVG/OBP/SLG.224 / .288 / .345

PA85

HR2

K%25

BB%7

ISO122

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 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2030	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Arb-1	$4M	+0.9	$2M	+$0.2M
2033	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2034	Arb-3	$9M	+0.9	$2M	+$0.0M (cut)
Totals		$6M		$11M	+$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.

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 Cardinals	—	162	136	39	5	4	1	17	29	7	22	5	287	394	404	798	118	355	18	10	359	47	—	—	—	—	—	—
2025	18	ROK	FCL Cardinals	—	148	120	34	4	3	0	18	21	5	24	4	283	399	367	765	83	340	14	12	342	64	—	—	—	—	—	—
2026	19	A+	Peoria Chiefs	—	16	14	2	0	0	1	2	5	0	0	0	143	250	357	607	214	125	31	12	274	27	—	—	—	—	—	—
2026	19	A	Palm Beach Cardinals	—	128	114	32	9	2	3	13	24	0	10	6	281	354	474	828	193	333	19	10	362	94	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Cardinals	—	162	141	26	3	2	0	12	36	7	22	5	184	281	234	515	50	237	22	7	237	47	—	—	—	—	—	—
2025	18	ROK MLE	FCL Cardinals	—	148	127	29	3	2	0	11	30	5	24	4	228	315	283	598	55	280	20	7	263	64	—	—	—	—	—	—
2026	19	A+ MLE	Peoria Chiefs	—	16	15	2	0	0	1	1	6	0	0	0	133	188	333	521	200	118	38	6	208	27	—	—	—	—	—	—
2026	19	A MLE	Palm Beach Cardinals	—	128	118	29	8	2	2	9	33	0	10	6	246	299	398	698	153	324	26	7	307	94	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cardinals	—	162	141	26	3	2	0	12	36	7	22	5	184	281	234	515	50	245	22	7	237	47	—	—	—	—	—	—
2024	17	ROK RAW	DSL Cardinals	—	162	136	39	5	4	1	17	29	7	22	5	287	394	404	798	118	355	18	10	359	47	—	—	—	—	—	—
2025	18	ROK MLE	FCL Cardinals	—	148	127	29	3	2	0	11	30	5	24	4	228	315	283	598	55	296	20	7	263	64	—	—	—	—	—	—
2025	18	ROK RAW	FCL Cardinals	—	148	120	34	4	3	0	18	21	5	24	4	283	399	367	765	83	340	14	12	342	64	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	144	132	31	8	2	3	11	39	0	10	6	235	294	394	688	159	311	27	8	296	86	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	144	128	34	9	2	4	15	29	0	10	6	266	343	461	804	195	316	20	10	353	86	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cardinals	—	162	142	26	3	2	0	12	36	7	22	5	183	281	232	514	49	237	22	7	237	47	—	—	—	—	—	—
2025	18	ROK MLE	FCL Cardinals	—	148	131	29	3	2	0	11	30	5	24	4	221	315	275	589	53	280	20	7	263	64	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	144	132	31	8	2	3	11	39	0	10	6	235	294	394	688	159	301	27	8	296	86	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Cardinals	—	162	142	26	3	2	0	12	36	7	22	5	183	281	232	514	49	237	22	7	237	47	—	—	—	—	—	—
2025	18	ROK MLE	FCL Cardinals	—	148	131	29	3	2	0	11	30	5	24	4	221	315	275	589	53	280	20	7	263	64	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	144	132	31	8	2	3	11	39	0	10	6	235	294	394	688	159	301	27	8	296	86	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	STL	0%	254	231	52	9	2	5	18	64	3	6	2	226	290	348	638	122	289	25	7	286	80	-6	+0	-1	+3	+6	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	STL	34%	144	130	29	5	1	3	11	36	2	3	1	231	297	366	662	135	290	25	8	296	86	-2	+0	-1	+2	+3	0.2
2029	22	MLB MLE	STL	48%	239	216	51	9	2	6	18	59	3	5	1	235	301	380	681	144	291	25	8	303	91	-2	+1	-1	+3	+5	0.5
2030	23	MLB MLE	STL	54%	333	301	72	13	3	9	25	81	4	7	2	238	305	390	695	151	292	24	8	309	95	-2	+1	-1	+4	+7	0.9
2031	24	MLB MLE	STL	55%	397	360	86	15	3	12	30	95	4	9	2	241	308	397	705	157	293	24	8	313	98	-1	+1	-1	+4	+9	1.3
2032	25	MLB MLE	STL	56%	434	393	95	17	3	13	33	104	5	9	2	242	309	402	711	160	294	24	8	315	100	-0	+1	+0	+5	+9	1.5
2033	26	MLB MLE	STL	56%	452	409	99	17	4	14	35	108	5	9	3	242	310	404	714	162	293	24	8	317	100	+0	+1	+0	+5	+10	1.6
2034	27	MLB MLE	STL	55%	459	416	101	18	4	14	35	110	5	9	3	241	309	402	711	161	293	24	8	315	99	-0	+1	+0	+5	+10	1.6
2035	28	MLB MLE	STL	55%	458	415	100	17	4	14	35	111	5	8	3	240	307	398	705	158	292	24	8	313	98	-1	+0	-1	+5	+10	1.4
2036	29	MLB MLE	STL	53%	448	406	96	17	3	13	34	110	5	8	3	237	304	392	696	154	291	25	8	309	95	-2	+0	-1	+5	+10	1.1
2037	30	MLB MLE	STL	57%	438	398	92	16	3	12	33	109	4	7	3	235	301	384	685	150	290	25	8	305	92	-4	+0	-2	+5	+9	0.9
2038	31	MLB MLE	STL	60%	422	383	88	15	3	11	32	107	4	5	3	231	296	375	671	144	287	25	8	299	89	-6	-0	-3	+5	+9	0.5
2039	32	MLB MLE	STL	61%	399	363	82	14	3	10	29	103	4	5	5	226	290	363	653	137	284	26	7	292	84	-8	-1	-3	+4	+9	0.1
2040	33	MLB MLE	STL	62%	364	332	73	12	2	9	26	96	3	4	10	220	283	348	632	129	279	26	7	283	78	-10	-3	-4	+4	+8	-0.5
2028	21	MLB CTX	STL	34%	49	44	10	2	0	1	4	12	1	1	0	231	297	362	659	131	292	24	8	295	86	-1	+0	-0	+1	+1	0.1
2029	22	MLB CTX	STL	48%	116	105	25	5	1	3	9	28	1	3	1	235	301	375	677	140	293	24	8	302	91	-1	+0	-1	+1	+3	0.2
2030	23	MLB CTX	STL	54%	181	163	39	7	1	5	14	44	2	4	1	238	305	385	690	147	294	24	8	307	95	-1	+0	-1	+2	+4	0.5
2031	24	MLB CTX	STL	55%	220	199	48	9	2	6	17	53	2	5	1	240	307	392	699	152	295	24	8	311	98	-1	+1	-0	+2	+5	0.7
2032	25	MLB CTX	STL	56%	243	219	54	10	2	7	19	58	3	5	1	242	309	396	705	155	295	24	8	313	100	-0	+1	+0	+3	+5	0.9
2033	26	MLB CTX	STL	56%	254	229	55	10	2	7	20	61	3	5	1	242	309	399	708	157	295	24	8	314	100	+0	+1	+0	+3	+6	0.9
2034	27	MLB CTX	STL	55%	254	229	55	10	2	7	20	61	3	5	1	241	308	396	705	155	295	24	8	313	99	-0	+1	+0	+3	+6	0.9
2035	28	MLB CTX	STL	55%	251	227	54	10	2	7	19	61	3	5	1	239	307	392	699	153	294	24	8	311	98	-1	+1	-0	+3	+5	0.8
2036	29	MLB CTX	STL	53%	239	217	51	9	2	6	18	59	2	4	1	237	304	386	690	149	293	25	8	307	95	-1	+0	-1	+3	+5	0.6
2037	30	MLB CTX	STL	57%	250	227	54	10	2	7	19	62	2	4	2	234	301	379	680	145	292	25	8	303	92	-2	+0	-1	+3	+5	0.5
2038	31	MLB CTX	STL	60%	251	228	53	10	2	6	19	63	2	3	2	231	296	370	666	140	289	25	8	297	89	-3	-0	-2	+3	+5	0.3
2039	32	MLB CTX	STL	61%	245	223	51	9	2	6	18	63	2	3	3	226	290	359	649	133	285	26	7	290	84	-5	-1	-2	+3	+5	0.0
2040	33	MLB CTX	STL	62%	227	207	45	8	1	5	16	60	2	2	6	219	283	344	627	125	281	26	7	281	78	-6	-2	-3	+2	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2780	2517	594	109	21	73	212	685	28	49	21	236	303	383	685	147	294	25	8	304	91	-22	+1	-10	+30	+60	6.0
/ 162G	—	A+C		—	650	589	138	25	5	17	50	160	7	11	5	234	303	380	683	146	292	25	8	304	91	-5	+0	-2	+7	+14	1.4
Career	—	MLE		—	5526	5000	1168	202	45	145	416	1355	66	146	57	234	301	379	680	145	290	25	8	303	91	-41	+1	-18	+54	+110	10.9
/ 162G	—	MLE		—	650	588	137	24	5	17	49	159	8	17	7	233	301	378	678	145	289	24	8	303	91	-5	+0	-2	+7	+14	1.4

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 APalm Beach Cardinals · 128 PAwOBA .353 → .307 (−46)K% 18.8% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.000	×1.360	—	—	25.50%
BB% (unintentional) /PA	10.16%	÷1.000	×0.690	—	×1.045	7.32%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	20.00%	÷1.000	×0.920	×1.050	×1.045	20.19%
Doubles /BIP	10.00%	÷1.000	×0.830	×1.050	×1.045	9.11%
Triples /BIP	2.22%	÷1.000	×0.910	×1.050	×1.045	2.22%
Home runs /BIP	3.33%	÷1.000	×0.800	—	×1.045	2.79%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .353 → .307; ISO .193 → .165; BABIP .333 → .324. 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 A+Peoria Chiefs · 16 PAwOBA .266 → .208 (−59)K% 31.2% → 39.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.000	×1.270	—	—	39.69%
BB% (unintentional) /PA	12.50%	÷1.000	×0.710	—	×1.050	9.32%
HBP% /PA	0.00%	—	×0.790	—	×1.050	0.00%
Singles /BIP	11.11%	÷1.000	×0.920	—	×1.050	10.73%
Doubles /BIP	0.00%	÷1.000	×0.810	—	×1.050	0.00%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.050	0.00%
Home runs /BIP	11.11%	÷1.000	×0.800	—	×1.050	9.33%

Factors used: league row Midwest League. 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 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average).

Result: wOBA .266 → .208; ISO .214 → .163; BABIP .125 → .118. 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 ROKFCL Cardinals · 148 PAwOBA .337 → .263 (−73)K% 14.2% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.19%	÷0.996	×1.440	—	—	20.51%
BB% (unintentional) /PA	12.16%	÷1.011	×0.620	—	×1.022	7.62%
HBP% /PA	3.38%	—	×0.720	—	×1.022	2.49%
Singles /BIP	27.27%	÷1.030	×0.820	×1.034	×1.022	22.96%
Doubles /BIP	4.04%	÷1.035	×0.720	×1.034	×1.022	2.97%
Triples /BIP	3.03%	÷1.000	×0.720	×1.034	×1.022	2.31%
Home runs /BIP	0.00%	÷1.149	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 106, 2B 107, 3B 100, K 99, BB 102 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .337 → .263; ISO .083 → .065; BABIP .340 → .280. 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 Cardinals · 162 PAwOBA .353 → .237 (−116)K% 17.9% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.90%	÷0.992	×1.220	—	—	22.03%
BB% (unintentional) /PA	10.49%	÷1.033	×0.700	—	×1.022	7.27%
HBP% /PA	4.32%	—	×0.700	—	×1.022	3.09%
Singles /BIP	27.10%	÷0.997	×0.680	×0.997	×1.022	18.84%
Doubles /BIP	4.67%	÷0.976	×0.600	×0.997	×1.022	2.93%
Triples /BIP	3.74%	÷1.132	×0.600	×0.997	×1.022	2.02%
Home runs /BIP	0.93%	÷1.307	×0.470	—	×1.022	0.34%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 161, 1B 99, 2B 95, 3B 126, K 98, BB 107 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .353 → .237; ISO .118 → .064; BABIP .355 → .237. 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
#1Dick Green'63-'74 * career totals — 10 seasons, 4,462 PA	6.7	4,462	80	26	246*	308*	382*	+16	+18	11.8	12.8
/162	664	12	4	+2.4	+2.7	1.8	pk7: 14
#2Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#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
#4Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.3	2,866	80	51	236	299	387	+31	-6	8.6	7.5
/162	664	18	12	+7.1	-1.3	2.0	pk7: 6
#5Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
#6Tim Beckhamlast yr '19 career totals — 5 seasons, 1,743 PA	2.6	1,743	63	13	248	301	431	+19	-13	6.1	6.1
/162	664	24	5	+7.1	-4.8	2.3	pk7: 6

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
Yairo Padilla (OGILVIE)	20	—	—	—	—	224/288/345	121	289	2	2	25%	7%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Pedro Ramírez 2024 · A	20	48→57	42→45	51→55	48	234/298/345	111	291	9	14	22%	7%	82	+0.0	255/308/360	105	318	8	17	21%	6%	90	+0.6	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Juan Brito 2022 · A	20	44→50	41→50	47→45	46	215/282/311	96	276	9	12	25%	8%	70	-0.9	234/317/368	134	286	12	9	21%	10%	96	+1.0	231/317/370	139	276	13	9	20%	10%	94	+0.8
✕Alen Hanson 2013 · A	20	49→53	46→50	56→60	45	241/296/389	148	299	11	20	23%	7%	92	+0.7	244/285/377	133	308	10	22	23%	5%	84	+0.2	253/288/390	138	302	12	30	20%	4%	87	+0.3
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
●Bryan Rincon 2024 · A	20	43→47	43→45	49→55	54	210/307/319	109	268	10	19	24%	11%	82	-0.0	196/286/316	120	277	12	25	31%	10%	73	-0.6	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Hao-Yu Lee 2023 · A	20	49→51	44→50	48→55	46	237/306/359	122	312	12	12	27%	8%	89	+0.5	247/312/378	131	315	13	16	24%	7%	96	+1.0	253/317/409	156	313	15	15	23%	7%	103	+1.2
✕Angel Martínez 2023 · AA	21	46→50	45→50	48→50	47	228/296/358	131	289	11	11	25%	8%	86	+0.3	231/289/358	127	289	12	10	23%	7%	82	+0.0	236/284/389	154	280	16	12	22%	5%	89	+0.4
●Royce Lewis 2019 · A	20	49→51	43→60	53→50	45	240/293/355	115	293	11	17	22%	6%	83	+0.1	213/260/318	105	291	9	15	29%	5%	62	-1.4	262/323/475	213	304	29	14	24%	8%	123	+1.4
✕Agustín Ramírez 2023 · A	21	43→48	45→55	51→55	44	213/272/340	128	284	12	11	29%	7%	72	-0.7	233/294/390	157	279	18	13	23%	7%	93	+0.8	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Nick Franklin 2012 · AA	21	47→51	47→50	53→50	42	234/284/366	132	302	14	15	27%	6%	82	+0.0	241/302/376	135	310	13	12	25%	8%	91	+0.7	240/308/375	135	306	13	12	25%	9%	92	+0.7
●Angel Genao 2024 · A	20	47→57	39→45	48→50	48	224/290/313	89	292	6	9	24%	8%	73	-0.6	262/314/381	119	324	9	12	21%	7%	97	+1.1	271/329/396	125	328	10	12	19%	8%	104	+1.3
✕Francisco Mejía 2015 · A	19	45→55	44→55	49→40	40	222/268/341	119	285	11	8	26%	5%	71	-0.8	243/289/351	108	300	10	4	22%	5%	80	-0.1	256/300/415	159	303	18	3	21%	4%	99	+0.9
✕Brayan Rocchio 2022 · AA	21	47→56	46→45	50	40	230/288/366	136	303	13	16	28%	5%	84	+0.2	237/302/360	123	291	11	15	21%	7%	88	+0.4	235/306/352	117	282	10	15	20%	8%	86	+0.3
●Dilson Herrera 2014 · A	20	44→54	45→55	49→50	41	220/273/347	128	293	12	11	29%	6%	74	-0.5	259/309/398	139	326	14	13	24%	6%	99	+1.3	267/319/412	145	327	15	13	22%	6%	104	+1.4
✕Blaze Alexander 2019 · A	20	48→50	43→50	52→50	43	227/289/346	119	322	8	10	30%	7%	80	-0.2	205/274/309	104	307	9	11	34%	7%	66	-1.1	246/324/371	124	344	12	15	29%	8%	98	+0.8
●Evan Carter 2023 · AA	20	48→55	46→50	55	52	233/315/374	141	290	12	21	23%	10%	96	+1.0	239/326/389	150	309	14	21	25%	10%	103	+1.6	237/330/391	154	306	15	24	25%	10%	104	+0.9
✕Cole Young 2023 · A	20	51→52	45	49→50	47	249/304/371	122	299	13	11	21%	7%	91	+0.6	242/328/367	125	291	10	13	19%	10%	99	+1.3	240/330/363	124	285	10	12	18%	10%	97	+1.0
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Leo Bernal 2024 · A	20	45→50	42→45	47→50	49	220/293/323	103	283	9	5	25%	9%	76	-0.4	231/296/349	118	296	13	8	25%	8%	83	+0.1	235/299/362	127	292	15	9	24%	8%	85	+0.2
✕Max Moroff 2013 · A	20	51→60	39→50	48→50	52	239/316/323	85	302	6	12	22%	10%	84	+0.2	217/281/304	87	307	5	10	29%	8%	67	-1.1	242/324/370	128	322	13	10	27%	10%	96	+0.8

Yairo Padilla

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps