Yerald Nin

2B Hillsboro Hops

Age 21 L/R 6'0" / 170 lbs A+ HR -11% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKARI	211	.269/.388/.326	0	23	41	—	.186/.268/.218
2025	19	AARI	457	.246/.335/.305	1	31	49	—	.210/.277/.261
2026	20	A+/AARI	477	.256/.332/.346	4	35	54	—	.215/.275/.284
2027PROJMLE	21	MLBARI	1	.203/.266/.270	0	0	47	-0.0
2028PROJ35% MLB	22	MLBARI	152	.210/.274/.292	1	6	56	-0.4
2029PROJ49% MLB	23	MLBARI	236	.216/.281/.312	3	8	64	-0.4

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2026 A+

Speed93

K%59

Z-Con%58

Whiff%55

BB%34

wRC+23

Career WAR0.0 WAR median (P10 -0.0 / P90 2.1, comp-based) · star 0% · didn't stick 90%

CompsAyendy Perez (age 21) · Tyler James (age 21) · Luis Durango (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†47

AVG/OBP/SLG.203 / .266 / .270

PA1

HR0

K%28

BB%7

BABIP285

ISO62

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE40

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Arb-1	$3M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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)
2022	16	ROK	DSL D-backs Black	—	190	165	38	6	1	3	22	41	2	13	4	230	328	333	661	103	287	22	12	304	18	—	—	—	—	—	—
2023	17	ROK	ACL D-backs Black	—	183	161	34	4	3	0	14	51	2	7	4	211	282	273	556	62	296	28	8	249	1	—	—	—	—	—	—
2024	18	ROK	ACL D-backs	—	211	175	47	6	2	0	32	53	2	23	4	269	388	326	713	57	379	25	15	332	41	—	—	—	—	—	—
2025	19	A	Visalia Rawhide	—	457	394	97	10	5	1	49	102	4	31	12	246	335	305	639	58	323	22	11	292	49	—	—	—	—	—	—
2026	20	A+	Hillsboro Hops	—	270	237	57	5	4	3	27	60	1	22	6	241	318	333	652	93	307	22	10	294	51	—	—	—	—	—	—
2026	20	A	Visalia Rawhide	—	207	185	51	9	2	1	20	49	1	13	4	276	350	362	712	86	370	24	10	323	59	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	16	ROK MLE	DSL D-backs Black	—	190	170	24	3	1	2	17	51	2	13	4	141	228	206	433	65	185	27	9	195	18	—	—	—	—	—	—
2023	17	ROK MLE	ACL D-backs Black	—	183	166	24	3	2	0	9	71	2	7	4	145	198	187	384	42	220	39	5	169	1	—	—	—	—	—	—
2024	18	ROK MLE	ACL D-backs	—	211	188	35	4	1	0	19	79	2	23	4	186	268	218	486	32	315	37	9	229	41	—	—	—	—	—	—
2025	19	A MLE	Visalia Rawhide	—	457	410	86	8	5	1	34	141	4	31	12	210	277	261	538	51	300	31	7	241	49	—	—	—	—	—	—
2026	20	A+ MLE	Hillsboro Hops	—	270	246	50	4	3	2	20	81	1	22	6	203	266	268	534	65	286	30	7	243	51	—	—	—	—	—	—
2026	20	A MLE	Visalia Rawhide	—	207	191	44	7	2	1	14	67	1	13	4	230	286	304	590	73	340	32	7	255	59	—	—	—	—	—	—
2022	16	ROK MLE	DSL D-backs Black	—	190	170	24	3	1	2	17	51	2	13	4	141	228	206	433	65	186	27	9	195	18	—	—	—	—	—	—
2022	16	ROK RAW	DSL D-backs Black	—	190	165	38	6	1	3	22	41	2	13	4	230	328	333	661	103	287	22	12	304	18	—	—	—	—	—	—
2023	17	ROK MLE	ACL D-backs Black	—	183	166	24	3	2	0	9	71	2	7	4	145	198	187	384	42	240	39	5	169	1	—	—	—	—	—	—
2023	17	ROK RAW	ACL D-backs Black	—	183	161	34	4	3	0	14	51	2	7	4	211	282	273	556	62	296	28	8	249	1	—	—	—	—	—	—
2024	18	ROK MLE	ACL D-backs	—	211	188	35	4	1	0	19	79	2	23	4	186	268	218	486	32	315	37	9	229	41	—	—	—	—	—	—
2024	18	ROK RAW	ACL D-backs	—	211	175	47	6	2	0	32	53	2	23	4	269	388	326	713	57	379	25	15	332	41	—	—	—	—	—	—
2025	19	A MLE	Visalia Rawhide	—	457	410	86	8	5	1	34	141	4	31	12	210	277	261	538	51	310	31	7	241	49	—	—	—	—	—	—
2025	19	A RAW	Visalia Rawhide	—	457	394	97	10	5	1	49	102	4	31	12	246	335	305	639	58	323	22	11	292	49	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	477	437	93	11	5	3	34	148	2	35	10	213	273	281	554	69	312	31	7	248	54	—	—	—	—	—	—
2026	20	A+ RAW	2 teams	—	477	422	108	14	6	4	47	109	2	35	10	256	332	346	678	90	334	23	10	307	54	—	—	—	—	—	—
2022	16	ROK MLE	DSL D-backs Black	—	190	169	24	3	1	2	17	51	2	13	4	142	228	207	435	65	185	27	9	195	18	—	—	—	—	—	—
2023	17	ROK MLE	ACL D-backs Black	—	183	170	24	3	2	0	9	71	2	7	4	141	198	182	380	41	220	39	5	169	1	—	—	—	—	—	—
2024	18	ROK MLE	ACL D-backs	—	211	188	35	4	1	0	19	79	2	23	4	186	268	218	486	32	315	37	9	229	41	—	—	—	—	—	—
2025	19	A MLE	Visalia Rawhide	—	457	416	86	8	5	1	34	141	4	31	12	207	277	257	534	50	300	31	7	241	49	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	477	438	93	11	5	3	34	148	2	35	10	212	273	281	554	68	309	31	7	248	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL D-backs	—	211	188	35	4	1	0	19	79	2	23	4	186	268	218	486	32	315	37	9	229	41	—	—	—	—	—	—
2025	19	A MLE	Visalia Rawhide	—	457	416	86	8	5	1	34	141	4	31	12	207	277	257	534	50	300	31	7	241	49	—	—	—	—	—	—
2026	20	A+ MLE	2 teams	—	477	438	93	11	5	3	34	148	2	35	10	212	273	281	554	68	309	31	7	248	54	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	ARI	0%	587	536	106	14	5	3	43	164	3	22	7	197	260	257	518	60	276	28	7	238	47	-37	+2	+0	+2	+13	-0.4
▸ 2027 — real world (MLB)
2027	21	MLB CTX	ARI	0%	1	1	0	0	0	0	0	0	0	0	0	203	266	270	536	67	285	0	0	246	47	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	ARI	35%	439	400	82	11	4	4	33	120	3	16	5	204	268	280	548	76	277	27	8	251	56	-23	+1	+0	+2	+10	-1.1
2029	23	MLB MLE	ARI	49%	487	444	93	12	4	7	37	129	3	17	5	210	276	301	577	91	279	26	8	262	64	-21	+1	+0	+2	+11	-0.8
2030	24	MLB MLE	ARI	53%	542	492	105	14	4	9	42	142	3	19	6	215	281	316	597	101	280	26	8	270	69	-20	+1	+0	+2	+12	-0.5
2031	25	MLB MLE	ARI	55%	578	524	114	16	5	10	45	150	4	19	6	218	285	325	610	107	281	26	8	275	73	-19	+1	+0	+2	+13	-0.3
2032	26	MLB MLE	ARI	56%	590	534	118	17	5	11	47	152	4	18	6	219	287	330	617	111	282	26	8	278	75	-18	+1	+0	+2	+13	-0.2
2033	27	MLB MLE	ARI	55%	590	534	117	16	5	11	47	152	4	18	5	218	286	328	613	109	281	26	8	277	74	-19	+2	+0	+2	+13	-0.2
2034	28	MLB MLE	ARI	55%	582	527	113	16	4	10	46	152	4	15	5	217	284	323	607	107	280	26	8	274	72	-19	+1	-1	+2	+13	-0.5
2035	29	MLB MLE	ARI	53%	565	512	110	15	4	10	45	149	3	12	4	214	281	317	599	103	279	26	8	271	70	-20	+1	-1	+2	+12	-0.7
2028	22	MLB CTX	ARI	35%	152	139	29	4	2	1	11	41	1	6	2	210	274	292	565	82	286	27	7	257	56	-8	+0	+0	+1	+3	-0.4
2029	23	MLB CTX	ARI	49%	236	215	46	7	2	3	18	63	1	8	2	216	281	312	594	96	288	27	8	269	64	-10	+1	+0	+1	+5	-0.4
2030	24	MLB CTX	ARI	53%	286	260	57	9	3	4	22	75	2	10	3	221	286	327	613	106	289	26	8	277	69	-10	+1	+0	+1	+6	-0.3
2031	25	MLB CTX	ARI	55%	316	286	64	10	3	5	25	82	2	10	3	223	290	335	625	112	290	26	8	282	73	-10	+1	+0	+1	+7	-0.2
2032	26	MLB CTX	ARI	56%	328	297	66	10	3	6	26	84	2	10	3	225	292	340	632	115	291	26	8	284	75	-10	+1	+0	+1	+7	-0.1
2033	27	MLB CTX	ARI	55%	325	294	66	10	3	6	26	84	2	10	3	224	291	338	629	114	290	26	8	283	74	-10	+1	+0	+1	+7	-0.1
2034	28	MLB CTX	ARI	55%	318	288	64	10	3	5	25	83	2	8	3	222	289	333	622	111	289	26	8	280	72	-11	+0	-0	+1	+7	-0.3
2035	29	MLB CTX	ARI	53%	301	272	60	9	3	5	24	79	2	7	2	220	286	327	614	108	288	26	8	277	70	-11	+1	-1	+1	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2262	2051	452	69	22	35	177	591	14	69	21	220	287	327	613	106	290	26	8	278	61	-81	+5	-1	+8	+49	-2.0
/ 162G	—	A+C		—	650	589	130	20	6	10	51	170	4	20	6	221	287	326	613	105	291	26	8	278	61	-23	+2	-0	+2	+14	-0.6
Career	—	MLE		—	6101	5530	1152	151	51	79	470	1695	41	251	78	208	275	297	572	89	283	28	8	259	61	-173	+11	-2	+16	+99	-4.9
/ 162G	—	MLE		—	650	589	122	16	5	8	50	181	4	27	8	207	273	292	565	85	282	28	8	259	61	-24	+2	-0	+2	+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 A+Hillsboro Hops · 270 PAwOBA .289 → .243 (−46)K% 22.2% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.000	×1.350	—	—	30.00%
BB% (unintentional) /PA	10.00%	÷1.000	×0.710	—	×1.027	7.29%
HBP% /PA	0.37%	—	×0.810	—	×1.027	0.31%
Singles /BIP	25.42%	÷1.000	×0.910	×1.015	×1.027	24.11%
Doubles /BIP	2.82%	÷1.000	×0.830	×1.015	×1.027	2.44%
Triples /BIP	2.26%	÷1.000	×0.820	×1.015	×1.027	1.93%
Home runs /BIP	1.69%	÷1.000	×0.830	—	×1.027	1.44%

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 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .289 → .243; ISO .093 → .076; BABIP .307 → .286. 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 AVisalia Rawhide · 207 PAwOBA .315 → .255 (−60)K% 23.7% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.67%	÷1.000	×1.360	—	—	32.19%
BB% (unintentional) /PA	9.66%	÷1.000	×0.690	—	×1.015	6.77%
HBP% /PA	0.48%	—	×0.780	—	×1.015	0.38%
Singles /BIP	28.68%	÷1.000	×0.920	×1.003	×1.015	26.85%
Doubles /BIP	6.62%	÷1.000	×0.830	×1.003	×1.015	5.59%
Triples /BIP	1.47%	÷1.000	×0.910	×1.003	×1.015	1.36%
Home runs /BIP	0.74%	÷1.000	×0.800	—	×1.015	0.60%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .315 → .255; ISO .086 → .069; BABIP .370 → .340. 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 AVisalia Rawhide · 457 PAwOBA .289 → .241 (−48)K% 22.3% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.32%	÷0.983	×1.360	—	—	30.87%
BB% (unintentional) /PA	10.72%	÷1.012	×0.690	—	×1.030	7.53%
HBP% /PA	0.88%	—	×0.780	—	×1.030	0.70%
Singles /BIP	27.74%	÷1.027	×0.920	×1.010	×1.030	25.85%
Doubles /BIP	3.42%	÷1.005	×0.830	×1.010	×1.030	2.94%
Triples /BIP	1.71%	÷0.900	×0.910	×1.010	×1.030	1.80%
Home runs /BIP	0.34%	÷1.283	×0.800	—	×1.030	0.22%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 105, 2B 101, 3B 80, K 97, BB 102 — 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 ×1.010.

Result: wOBA .289 → .241; ISO .058 → .051; BABIP .323 → .300. 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 ROKACL D-backs · 211 PAwOBA .328 → .229 (−98)K% 25.1% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.12%	÷0.965	×1.440	—	—	37.49%
BB% (unintentional) /PA	15.17%	÷1.069	×0.620	—	×1.008	8.86%
HBP% /PA	0.95%	—	×0.720	—	×1.008	0.69%
Singles /BIP	31.97%	÷1.009	×0.820	×1.039	×1.008	27.19%
Doubles /BIP	4.92%	÷1.031	×0.720	×1.039	×1.008	3.60%
Triples /BIP	1.64%	÷0.984	×0.720	×1.039	×1.008	1.26%
Home runs /BIP	0.00%	÷0.875	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 102, 2B 106, 3B 97, K 93, BB 114 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .328 → .229; ISO .057 → .039; BABIP .379 → .315. 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).

2023 ROKACL D-backs Black · 183 PAwOBA .250 → .169 (−81)K% 27.9% → 39.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.87%	÷1.030	×1.440	—	—	38.97%
BB% (unintentional) /PA	7.65%	÷1.001	×0.620	—	×1.022	4.84%
HBP% /PA	1.09%	—	×0.720	—	×1.022	0.80%
Singles /BIP	24.55%	÷1.073	×0.820	×0.958	×1.022	18.37%
Doubles /BIP	3.64%	÷0.966	×0.720	×0.958	×1.022	2.66%
Triples /BIP	2.73%	÷0.950	×0.720	×0.958	×1.022	2.03%
Home runs /BIP	0.00%	÷1.038	×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 108, 1B 115, 2B 93, 3B 90, K 106, BB 100 — 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 ×0.958.

Result: wOBA .250 → .169; ISO .062 → .042; BABIP .296 → .220. 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).

2022 DSLDSL D-backs Black · 190 PAwOBA .298 → .195 (−103)K% 21.6% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.58%	÷0.978	×1.220	—	—	26.92%
BB% (unintentional) /PA	11.58%	÷0.927	×0.700	—	×1.022	8.94%
HBP% /PA	1.05%	—	×0.700	—	×1.022	0.75%
Singles /BIP	22.58%	÷1.014	×0.680	×0.988	×1.022	15.29%
Doubles /BIP	4.84%	÷1.104	×0.600	×0.988	×1.022	2.66%
Triples /BIP	0.81%	÷1.150	×0.600	×0.988	×1.022	0.42%
Home runs /BIP	2.42%	÷0.896	×0.470	—	×1.022	1.30%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 103, 2B 121, 3B 130, K 96, BB 85 — 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 ×0.988.

Result: wOBA .298 → .195; ISO .103 → .054; BABIP .287 → .185. 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
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#4Pokey Reese'97-'04 * career totals — 8 seasons, 3,138 PA	4.7	3,138	44	144	238*	292*	339*	+19	+41	4.0	4.7
/162	664	9	30	+4.0	+8.7	0.8	pk7: 5
#5Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#6Enzo Hernandez'71-'78 * career totals — 6 seasons, 2,612 PA	3.9	2,612	2	129	222*	281*	294*	+28	+4	1.6	1.9
/162	664	1	33	+7.0	+1.0	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.4	2,264	38	69	216	280	320	+24	+12	1.2	1.3
/162	664	11	20	+7.1	+3.5	0.4	pk7: 1

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
Yerald Nin (OGILVIE)	21	40	20	60	40	196/258/255	59	276	1	8	28%	7%	47	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ayendy Perez 2015 · A	21	46	34→30	57→60	49	211/273/267	56	261	1	23	19%	7%	55	-2.0	224/275/281	57	315	1	23	27%	6%	58	-1.7	230/281/278	48	334	0	29	29%	6%	58	-0.9
✕Tyler James 2018 · A	21	44	36→30	64→65	42	203/264/279	76	291	2	27	29%	7%	55	-2.0	217/280/291	74	327	4	27	32%	7%	63	-1.3	224/290/283	58	344	4	45	33%	7%	61	-0.6
✕Luis Durango 2024 · A	21	47	35→30	57→70	48	219/296/278	59	287	3	29	23%	8%	68	-1.0	227/289/285	58	305	2	36	24%	5%	65	-1.2	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Jason Denham 2007 · A	21	41→45	35→40	53→55	44	191/255/252	61	281	3	10	31%	8%	45	-2.7	220/280/300	80	293	8	18	26%	7%	65	-1.2	220/282/295	75	288	8	21	25%	8%	64	-0.8
✕Reidy Mercado 2022 · A	21	42	37→30	56→60	39	199/254/269	70	294	4	21	32%	6%	49	-2.4	189/239/242	53	303	2	20	36%	6%	36	-3.3	171/219/205	34	275	1	31	36%	6%	17	-1.2
✕Luke Williams 2018 · A	21	40→44	35→45	55→65	41	190/234/243	53	254	2	18	26%	5%	34	-3.5	203/260/293	90	270	8	18	26%	6%	57	-1.8	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Pedro Ogando 2016 · A	22	48	35→30	56→60	42	226/268/292	66	290	2	22	22%	5%	58	-1.7	202/251/264	62	250	2	19	19%	6%	46	-2.6	167/237/209	42	195	0	26	13%	7%	28	-1.1
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕Yhoswar Garcia 2024 · A	22	39	37→30	58→70	39	190/246/264	74	268	4	27	30%	5%	45	-2.7	209/257/270	61	275	2	42	23%	6%	49	-2.4	208/255/258	50	270	1	58	22%	6%	44	-1.6
✕Luis Ayala 2017 · A	21	42→50	35→40	54→55	44	195/257/257	63	271	2	19	27%	7%	47	-2.5	207/263/271	64	293	3	15	28%	6%	52	-2.2	203/261/260	57	287	2	16	28%	6%	47	-1.5
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/266/263	67	278	4	12	29%	8%	53	-2.1	208/305/278	70	291	4	26	27%	9%	72	-0.7	223/339/272	49	296	2	35	22%	11%	80	-0.0
✕Rudy Martin Jr. 2017 · A	21	44	38→45	58→65	42	203/275/285	82	317	4	20	34%	8%	61	-1.5	196/259/288	92	324	7	29	39%	7%	56	-1.9	220/296/327	107	310	12	41	30%	9%	75	-0.2
✕Rodolfo Penalo 2014 · A	21	42	35→30	56→65	52	192/267/256	63	230	2	25	16%	8%	51	-2.2	202/281/267	65	263	2	23	22%	9%	59	-1.7	190/280/247	57	251	1	30	22%	10%	52	-0.7
✕Gerson Manzanillo 2007 · A	21	44	35→30	58→50	45	205/254/270	65	249	2	16	18%	5%	49	-2.4	205/247/268	63	279	3	12	26%	5%	45	-2.7	240/268/286	46	283	2	13	16%	3%	53	-0.9
✕Cesar Gonzalez 2015 · A	20	42	36→40	54→60	43	195/260/262	67	275	2	19	28%	7%	49	-2.4	203/255/272	69	317	3	11	34%	6%	50	-2.3	184/229/215	32	332	0	4	42%	5%	23	-1.0
✕Jean Ramirez 2022 · A	21	42→49	37→40	51→65	45	195/276/272	76	295	4	19	32%	9%	59	-1.7	213/276/293	80	301	7	27	29%	7%	63	-1.4	209/271/274	65	290	6	31	28%	7%	53	-1.0
✕Diego Hernandez 2022 · A	21	48→54	35→40	54→60	42	222/278/282	60	321	3	25	30%	7%	60	-1.6	231/275/317	86	317	7	24	28%	5%	68	-1.0	226/266/314	88	307	8	22	28%	4%	60	-1.1
✕Jose Curpa 2021 · A	21	44	35→30	55	46	206/277/263	57	279	2	24	25%	7%	57	-1.8	194/287/265	71	302	3	20	33%	10%	62	-1.4	161/280/224	63	259	2	29	33%	12%	49	-0.6
✕Edgar Rondon 2016 · A	21	46	37→40	52→50	48	213/291/294	80	278	3	12	23%	8%	69	-0.9	206/275/275	69	326	3	10	34%	7%	59	-1.7	169/246/196	27	334	0	12	45%	7%	28	-0.7
✕Jovan Pickett 2010 · A	22	43	34→30	53→55	38	201/248/247	46	271	2	20	26%	4%	41	-3.0	218/273/271	53	307	2	17	28%	5%	56	-1.9	231/291/267	36	333	0	22	28%	4%	58	-0.6

Yerald Nin

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps