Starlyn Nunez

SS Salem RidgeYaks

Age 21 S/R 6'0" / 155 lbs A HR -5%K -4% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP35OGV rank#1808ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKBOS	134	.228/.328/.412	3	5	42	—	.151/.229/.261
2025	19	ASalem Red Sox	444	.249/.309/.407	8	21	56	—	.203/.252/.332
2026	20	ABOS	434	.222/.303/.384	12	21	42	—	.169/.233/.285
2027PROJMLE	21	MLBBOS	544	.190/.245/.310	10	13	54	-0.3
2028PROJ34% MLB	22	MLBBOS	136	.202/.259/.333	3	3	62	-0.2
2029PROJ48% MLB	23	MLBBOS	215	.206/.265/.344	5	5	66	-0.1

Next 3 projected WAR -0.5Projected 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$2M2033Arb-2$3M2034Arb-3$3M

Skills · percentileMiLB Statcast 2026 A

Speed76

ISO65

Z-Con%52

Whiff%41

K%40

wOBA31

Career WAR0.0 WAR median (P10 -0.2 / P90 0.2, comp-based) · star 1% · didn't stick 92%

CompsC.J. Beatty (age 21) · Johan Mieses (age 21) · Sean Coyle (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†54

AVG/OBP/SLG.188 / .243 / .307

PA210

HR4

SB5

K%31

BB%6

ISO120

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$3M 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	—	—	—
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Arb-1	$2M	+0.3	$0.8M	+$0.0M (cut)
2033	Arb-2	$3M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$0.9M		$2M	+$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)
2023	17	ROK	DSL Red Sox Blue	—	215	194	63	12	3	4	17	29	4	7	5	325	391	479	870	155	366	13	8	387	50	—	—	—	—	—	—
2024	18	ROK	FCL Red Sox	—	134	114	26	8	2	3	15	24	2	5	1	228	328	412	741	184	256	18	11	324	42	—	—	—	—	—	—
2025	19	A	Salem Red Sox	—	444	405	101	24	8	8	27	91	8	21	6	249	309	407	716	158	300	20	6	316	56	—	—	—	—	—	—
2026	20	A	Salem RidgeYaks	—	434	383	85	18	4	12	40	112	5	21	8	222	303	384	687	162	277	26	9	305	42	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Red Sox Blue	—	215	201	41	7	2	2	10	36	4	7	5	204	256	289	544	85	240	17	5	242	50	—	—	—	—	—	—
2024	18	ROK MLE	FCL Red Sox	—	134	119	18	5	1	2	10	34	2	5	1	151	229	261	490	109	186	25	7	230	42	—	—	—	—	—	—
2025	19	A MLE	Salem Red Sox	—	444	413	84	20	6	7	19	127	8	21	6	203	252	332	584	128	267	29	4	251	56	—	—	—	—	—	—
2026	20	A MLE	Salem RidgeYaks	—	434	396	67	13	3	9	28	152	5	21	8	169	233	285	518	116	237	35	6	230	42	—	—	—	—	—	—
2023	17	ROK MLE	DSL Red Sox Blue	—	215	201	41	7	2	2	10	36	4	7	5	204	256	289	544	85	239	17	5	242	50	—	—	—	—	—	—
2023	17	ROK RAW	DSL Red Sox Blue	—	215	194	63	12	3	4	17	29	4	7	5	325	391	479	870	155	366	13	8	387	50	—	—	—	—	—	—
2024	18	ROK MLE	FCL Red Sox	—	134	119	18	5	1	2	10	34	2	5	1	151	229	261	490	109	186	25	7	230	42	—	—	—	—	—	—
2024	18	ROK RAW	FCL Red Sox	—	134	114	26	8	2	3	15	24	2	5	1	228	328	412	741	184	256	18	11	324	42	—	—	—	—	—	—
2025	19	A MLE	Salem Red Sox	—	444	413	84	20	6	7	19	127	8	21	6	203	252	332	584	128	272	29	4	251	56	—	—	—	—	—	—
2025	19	A RAW	Salem Red Sox	—	444	405	101	24	8	8	27	91	8	21	6	249	309	407	716	158	300	20	6	316	56	—	—	—	—	—	—
2026	20	A MLE	Salem RidgeYaks	—	434	396	67	13	3	9	28	152	5	21	8	169	233	285	518	116	242	35	6	230	42	—	—	—	—	—	—
2026	20	A RAW	Salem RidgeYaks	—	434	383	85	18	4	12	40	112	5	21	8	222	303	384	687	162	277	26	9	305	42	—	—	—	—	—	—
2023	17	ROK MLE	DSL Red Sox Blue	—	215	199	41	7	2	2	10	36	4	7	5	206	256	291	547	85	240	17	5	242	50	—	—	—	—	—	—
2024	18	ROK MLE	FCL Red Sox	—	134	121	18	5	1	2	10	34	2	5	1	149	229	256	485	107	186	25	7	230	42	—	—	—	—	—	—
2025	19	A MLE	Salem Red Sox	—	444	414	84	20	6	7	19	127	8	21	6	203	252	331	583	128	267	29	4	251	56	—	—	—	—	—	—
2026	20	A MLE	Salem RidgeYaks	—	434	398	67	13	3	9	28	152	5	21	8	168	233	284	517	116	237	35	6	230	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	FCL Red Sox	—	134	121	18	5	1	2	10	34	2	5	1	149	229	256	485	107	186	25	7	230	42	—	—	—	—	—	—
2025	19	A MLE	Salem Red Sox	—	444	414	84	20	6	7	19	127	8	21	6	203	252	331	583	128	267	29	4	251	56	—	—	—	—	—	—
2026	20	A MLE	Salem RidgeYaks	—	434	398	67	13	3	9	28	152	5	21	8	168	233	284	517	116	237	35	6	230	42	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	BOS	0%	544	502	95	20	5	10	31	170	6	13	4	190	245	310	555	120	261	31	6	249	54	-30	+1	-1	+6	+12	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	BOS	34%	396	365	72	15	3	9	24	120	4	10	3	196	253	326	580	130	263	30	6	259	62	-18	+1	+0	+4	+9	-0.4
2029	23	MLB MLE	BOS	48%	443	408	82	17	4	10	27	131	5	11	4	201	260	337	597	136	265	30	6	266	66	-18	+1	+1	+5	+10	-0.2
2030	24	MLB MLE	BOS	53%	490	451	92	19	4	12	31	142	5	12	4	205	265	345	610	140	267	29	6	272	70	-17	+1	+2	+5	+11	0.2
2031	25	MLB MLE	BOS	55%	536	490	102	21	4	14	35	153	6	13	4	207	269	350	619	143	269	29	7	276	73	-17	+1	+3	+6	+12	0.4
2032	26	MLB MLE	BOS	56%	546	498	104	21	4	14	37	154	6	13	4	209	271	353	624	144	270	28	7	278	74	-17	+1	+3	+6	+12	0.5
2033	27	MLB MLE	BOS	55%	546	498	104	21	4	14	37	155	6	13	4	208	270	350	621	142	269	28	7	277	73	-17	+1	+3	+6	+12	0.4
2034	28	MLB MLE	BOS	55%	541	494	102	21	4	13	36	155	6	11	4	206	268	346	614	140	268	29	7	274	72	-18	+1	+2	+6	+12	0.2
2035	29	MLB MLE	BOS	58%	528	483	99	20	4	13	35	153	5	9	4	204	266	340	606	136	267	29	7	271	69	-19	+0	+1	+6	+11	-0.1
2036	30	MLB MLE	BOS	60%	515	471	95	19	4	12	34	150	5	8	4	201	262	333	596	132	266	29	7	266	66	-21	+0	+0	+6	+11	-0.3
2028	22	MLB CTX	BOS	34%	136	125	26	6	1	3	8	41	2	3	1	202	259	333	592	132	272	30	6	264	62	-6	+0	+0	+1	+3	-0.2
2029	23	MLB CTX	BOS	48%	215	198	41	9	2	5	13	63	2	5	2	206	265	344	609	138	274	29	6	272	66	-9	+0	+1	+2	+5	-0.1
2030	24	MLB CTX	BOS	53%	258	237	49	11	2	6	16	75	3	6	2	210	270	352	623	142	276	29	6	277	70	-9	+0	+1	+3	+6	0.1
2031	25	MLB CTX	BOS	55%	293	269	57	13	2	7	19	84	3	7	2	213	274	358	631	145	278	29	6	281	73	-9	+1	+1	+3	+6	0.2
2032	26	MLB CTX	BOS	56%	304	278	60	13	2	8	20	86	3	7	2	215	276	360	637	145	279	28	7	283	74	-9	+1	+2	+3	+7	0.3
2033	27	MLB CTX	BOS	55%	300	274	58	13	2	7	20	85	3	7	2	214	276	358	633	144	279	28	7	282	73	-9	+1	+2	+3	+6	0.2
2034	28	MLB CTX	BOS	55%	296	271	57	13	2	7	20	85	3	6	2	212	274	354	627	141	278	29	7	280	72	-10	+0	+1	+3	+6	0.1
2035	29	MLB CTX	BOS	58%	306	280	58	13	2	7	20	88	3	5	2	210	271	348	619	138	276	29	7	276	69	-11	+0	+1	+3	+7	-0.0
2036	30	MLB CTX	BOS	60%	310	284	59	13	2	7	20	91	3	5	2	207	268	341	608	134	275	29	6	272	66	-12	+0	+0	+3	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2418	2216	465	104	17	57	156	698	25	51	17	210	270	349	619	139	277	29	6	277	65	-86	+3	+9	+26	+52	0.5
/ 162G	—	A+C		—	650	596	125	28	5	15	42	188	7	14	5	210	270	349	619	139	278	29	6	277	65	-23	+1	+2	+7	+14	0.1
Career	—	MLE		—	5978	5481	1099	227	49	135	375	1728	69	159	57	201	260	334	594	133	264	29	6	264	65	-174	+6	+16	+51	+103	0.2
/ 162G	—	MLE		—	650	596	120	25	5	15	41	188	8	17	6	201	262	336	598	134	264	29	6	264	65	-24	+1	+2	+7	+14	0.0

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 ASalem RidgeYaks · 434 PAwOBA .300 → .230 (−71)K% 25.8% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.81%	÷1.000	×1.360	—	—	35.10%
BB% (unintentional) /PA	9.22%	÷1.000	×0.690	—	×1.015	6.45%
HBP% /PA	1.15%	—	×0.780	—	×1.015	0.91%
Singles /BIP	18.82%	÷1.000	×0.920	×0.950	×1.015	16.69%
Doubles /BIP	6.64%	÷1.000	×0.830	×0.950	×1.015	5.32%
Triples /BIP	1.48%	÷1.000	×0.910	×0.950	×1.015	1.30%
Home runs /BIP	4.43%	÷1.000	×0.800	—	×1.015	3.60%

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 ×0.950.

Result: wOBA .300 → .230; ISO .162 → .122; BABIP .277 → .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).

2025 ASalem Red Sox · 444 PAwOBA .310 → .251 (−59)K% 20.5% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.50%	÷0.974	×1.360	—	—	28.61%
BB% (unintentional) /PA	6.08%	÷1.011	×0.690	—	×1.030	4.27%
HBP% /PA	1.80%	—	×0.780	—	×1.030	1.45%
Singles /BIP	19.43%	÷1.030	×0.920	×0.987	×1.030	17.65%
Doubles /BIP	7.64%	÷0.963	×0.830	×0.987	×1.030	6.70%
Triples /BIP	2.55%	÷1.150	×0.910	×0.987	×1.030	2.05%
Home runs /BIP	2.55%	÷0.891	×0.800	—	×1.030	2.35%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 106, 2B 93, 3B 130, K 95, 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 ×0.987.

Result: wOBA .310 → .251; ISO .158 → .129; BABIP .300 → .267. 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 ROKFCL Red Sox · 134 PAwOBA .323 → .230 (−93)K% 17.9% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.91%	÷1.026	×1.440	—	—	25.15%
BB% (unintentional) /PA	11.19%	÷0.968	×0.620	—	×1.008	7.22%
HBP% /PA	1.49%	—	×0.720	—	×1.008	1.08%
Singles /BIP	14.44%	÷0.993	×0.820	×0.950	×1.008	11.41%
Doubles /BIP	8.89%	÷1.061	×0.720	×0.950	×1.008	5.77%
Triples /BIP	2.22%	÷1.000	×0.720	×0.950	×1.008	1.53%
Home runs /BIP	3.33%	÷0.952	×0.780	—	×1.008	2.75%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 99, 2B 112, 3B 100, K 105, BB 94 — 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 ×0.950.

Result: wOBA .323 → .230; ISO .184 → .134; BABIP .256 → .186. 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 DSLDSL Red Sox Blue · 215 PAwOBA .374 → .242 (−132)K% 13.5% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.49%	÷0.984	×1.220	—	—	16.72%
BB% (unintentional) /PA	6.98%	÷1.059	×0.700	—	×1.008	4.65%
HBP% /PA	1.86%	—	×0.700	—	×1.008	1.31%
Singles /BIP	26.67%	÷1.006	×0.680	×1.003	×1.008	18.22%
Doubles /BIP	7.27%	÷1.028	×0.600	×1.003	×1.008	4.29%
Triples /BIP	1.82%	÷0.964	×0.600	×1.003	×1.008	1.14%
Home runs /BIP	2.42%	÷0.924	×0.470	—	×1.008	1.24%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 101, 2B 106, 3B 93, K 97, BB 112 — 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 ×1.003.

Result: wOBA .374 → .242; ISO .155 → .088; BABIP .366 → .240. 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
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Frank 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
#3Ryan 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 6 projected seasons	4.0	2,628	62	58	205	262	342	+28	+12	0.8	1.0
/162	664	16	15	+7.1	+3.0	0.2	pk7: 1
#4Andres Thomas'85-'90 * career totals — 5 seasons, 2,185 PA	3.3	2,185	42	22	234*	256*	361*	+23	+24	0.5	0.5
/162	664	13	7	+7.1	+7.3	0.2	pk7: 0
#5Pedro Garcia'73-'77 * career totals — 5 seasons, 1,967 PA	3.0	1,967	37	35	220*	270*	388*	+6	-6	-0.3	-0.3
/162	664	12	12	+2.1	-2.0	-0.1	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Starlyn Nunez (OGILVIE)	21	—	—	—	—	188/243/307	119	261	4	5	31%	6%	54	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕C.J. Beatty 2010 · A	21	40	41→45	52→40	41	198/252/295	98	278	9	9	31%	6%	54	-2.0	210/271/325	115	299	9	5	31%	7%	68	-1.0	202/267/333	131	282	11	2	30%	8%	65	-0.7
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Luis Alexander Basabe 2018 · A	21	41→45	41→45	54→50	39	200/255/302	102	297	8	15	34%	6%	57	-1.8	205/269/312	107	318	9	14	36%	8%	65	-1.2	199/269/311	112	312	11	14	37%	8%	62	-0.8
✕Jose Salas 2024 · A	21	40→43	39→45	54→55	40	194/259/277	83	275	7	21	31%	6%	53	-2.1	187/243/287	100	281	10	20	35%	5%	49	-2.4	173/229/282	108	262	12	23	37%	5%	41	-1.6
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
✕Estee Harris 2006 · A	21	37→32	44→50	50	37	190/237/306	116	273	11	14	34%	6%	51	-2.2	189/241/290	101	317	9	13	41%	6%	49	-2.4	173/225/264	91	319	8	13	46%	6%	34	-1.1
✕Robert Moore 2023 · A	21	43→44	42→45	50	43	209/276/314	105	289	9	13	30%	7%	68	-1.0	203/267/302	99	265	8	15	25%	7%	61	-1.5	196/264/316	120	235	12	13	22%	7%	62	-0.9
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Marcus Littlewood 2013 · A	21	41	40→45	48→45	41	200/252/291	91	274	8	7	29%	6%	53	-2.1	200/269/308	108	272	9	5	28%	9%	64	-1.3	207/274/317	110	265	10	4	25%	8%	65	-0.6
✕Cole Roederer 2021 · A	21	39→33	43→45	51→50	42	193/261/303	109	286	10	12	34%	8%	60	-1.6	207/272/319	112	304	11	12	33%	7%	68	-1.0	183/257/295	112	268	12	11	34%	8%	56	-1.1
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	208/273/317	109	269	11	18	26%	7%	68	-1.0	210/276/360	150	277	17	18	29%	7%	79	-0.2	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Jose Marquez 2019 · A	21	43	42→50	48→50	39	210/254/316	106	277	8	7	27%	5%	59	-1.6	210/259/310	100	307	9	8	33%	5%	60	-1.6	126/196/210	84	199	14	12	43%	7%	13	-0.9
✕Brandon Dailey 2013 · A	21	42	40→45	55	37	203/249/301	98	294	7	12	32%	5%	54	-2.0	195/248/297	102	288	9	6	34%	6%	53	-2.1	144/199/220	76	199	6	0	30%	5%	17	-1.1
✕Sammy Hernandez 2024 · A	20	37	43→40	51→50	40	188/254/301	113	262	11	5	31%	6%	57	-1.8	203/291/298	95	270	8	9	26%	9%	71	-0.8	201/300/298	97	262	9	13	24%	10%	72	-0.4
✕Manuel Geraldo 2018 · A	21	36→46	38→40	52→50	33	182/220/254	72	268	6	14	34%	4%	32	-3.7	217/250/298	81	326	7	14	34%	4%	53	-2.1	220/252/295	76	328	6	14	34%	4%	49	-2.0
✕Hansel Moreno 2018 · A	21	43→33	38→40	51→50	41	206/255/288	82	285	5	12	28%	6%	53	-2.1	194/239/288	94	293	9	16	35%	5%	47	-2.5	177/222/269	92	266	10	19	36%	5%	34	-2.2
✕Luis Valenzuela 2015 · A	21	40	37→45	55→45	39	195/234/270	75	262	4	7	27%	5%	40	-3.0	244/269/336	92	305	5	7	21%	3%	69	-0.9	263/285/365	102	319	5	7	19%	2%	78	-0.1

Starlyn Nunez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps