Lennyn Nunez — OGILVIE

Lennyn NunezC DSL Pirates Black

Age 22 S/R 5'10" / 150 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 49 proj PA

wRC+†70

AVG/OBP/SLG.210 / .296 / .285

PA4

HR0

K%26

BB%8

ISO76

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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	18	ROK	DSL PIT Gold	—	25	20	4	1	0	0	3	2	2	5	1	200	360	250	610	50	222	8	12	302	91	-0	+1	—	—	+1	0.1
2023	19	ROK	DSL Pirates Gold	—	81	61	12	2	1	0	11	12	8	4	2	197	388	262	650	66	240	15	14	320	102	+0	+0	—	—	+2	0.2
2024	20	ROK	DSL Pirates Black	—	65	46	15	3	0	0	10	8	8	2	1	326	516	391	907	65	395	12	15	424	173	+6	+0	—	—	+1	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL PIT Gold	—	25	21	4	1	0	0	2	3	2	5	1	190	320	238	558	48	176	12	8	221	36	-2	+1	—	—	+1	-0.1
2023	19	ROK MLE	DSL Pirates Gold	—	81	65	10	1	1	0	7	18	8	4	2	154	312	200	512	46	198	22	9	236	46	-5	+0	—	—	+2	-0.4
2024	20	ROK MLE	DSL Pirates Black	—	65	50	13	2	0	0	6	12	8	2	1	260	422	300	722	40	317	18	9	321	103	+0	+0	—	—	+1	0.2
2022	18	ROK MLE	DSL PIT Gold	—	25	21	4	1	0	0	2	3	2	5	1	190	320	238	558	48	222	12	8	221	36	—	—	—	—	—	—
2022	18	ROK RAW	DSL PIT Gold	—	25	20	4	1	0	0	3	2	2	5	1	200	360	250	610	50	222	8	12	302	36	—	—	—	—	—	—
2023	19	ROK MLE	DSL Pirates Gold	—	81	65	10	1	1	0	7	18	8	4	2	154	312	200	512	46	208	22	9	236	46	—	—	—	—	—	—
2023	19	ROK RAW	DSL Pirates Gold	—	81	61	12	2	1	0	11	12	8	4	2	197	388	262	650	66	240	15	14	320	46	—	—	—	—	—	—
2024	20	ROK MLE	DSL Pirates Black	—	65	50	13	2	0	0	6	12	8	2	1	260	422	300	722	40	342	18	9	321	103	—	—	—	—	—	—
2024	20	ROK RAW	DSL Pirates Black	—	65	46	15	3	0	0	10	8	8	2	1	326	516	391	907	65	395	12	15	424	103	—	—	—	—	—	—
2022	18	ROK MLE	DSL PIT Gold	—	25	21	4	1	0	0	2	3	2	5	1	190	320	238	558	48	176	12	8	221	36	—	—	—	—	—	—
2023	19	ROK MLE	DSL Pirates Gold	—	81	66	10	1	1	0	7	18	8	4	2	152	312	197	509	45	198	22	9	236	46	—	—	—	—	—	—
2024	20	ROK MLE	DSL Pirates Black	—	65	51	13	2	0	0	6	12	8	2	1	255	422	294	716	39	317	18	9	321	103	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Pirates Gold	—	81	66	10	1	1	0	7	18	8	4	2	152	312	197	509	45	198	22	9	236	46	—	—	—	—	—	—
2024	20	ROK MLE	DSL Pirates Black	—	65	51	13	2	0	0	6	12	8	2	1	255	422	294	716	39	317	18	9	321	103	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	PIT	0%	4	4	1	0	0	0	0	1	0	0	0	250	250	250	500		289	25	0	272	70	-0	+0	+0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	PIT	34%	107	95	21	4	1	1	8	27	3	2	0	221	302	316	618	95	290	25	7	280	76	-3	+0	+0	+2	+2	0.2
2028	24	MLB MLE	PIT	46%	237	209	47	8	2	3	19	60	7	4	1	225	311	325	636	100	291	25	8	286	80	-6	+0	+0	+4	+5	0.4
2029	25	MLB MLE	PIT	52%	323	285	64	11	2	5	26	81	9	5	1	225	309	330	639	105	291	25	8	290	83	-7	+1	+0	+6	+7	0.7
2030	26	MLB MLE	PIT	54%	380	336	75	13	2	6	30	95	11	6	1	223	308	327	635	104	291	25	8	292	84	-7	+1	+0	+7	+8	0.9
2031	27	MLB MLE	PIT	54%	410	362	82	14	3	7	33	103	12	6	1	227	312	340	652	113	291	25	8	292	84	-8	+1	+0	+7	+9	0.9
2032	28	MLB MLE	PIT	54%	426	376	84	14	3	7	35	108	12	6	1	223	310	332	642	109	291	25	8	291	83	-8	+1	-1	+8	+9	0.9
2033	29	MLB MLE	PIT	53%	428	378	84	14	3	7	35	109	12	6	1	222	308	331	639	108	290	25	8	289	82	-9	+1	-1	+8	+9	0.7
2034	30	MLB MLE	PIT	52%	426	376	82	14	3	6	35	109	12	5	1	218	305	319	624	101	289	26	8	287	80	-10	+1	-2	+8	+9	0.5
2035	31	MLB MLE	PIT	52%	404	357	77	13	2	6	33	105	11	4	1	216	302	314	615	98	286	26	8	282	77	-11	+0	-3	+7	+9	0.3
2036	32	MLB MLE	PIT	52%	378	334	71	12	2	5	31	100	10	3	1	213	299	305	604	93	283	26	8	277	74	-12	+0	-4	+7	+8	-0.0
2027	23	MLB CTX	PIT	34%	37	33	6	1	0	0	3	9	1	1	0	182	270	212	482	30	288	24	8	255	76	-1	+0	+0	+1	+1	0.1
2028	24	MLB CTX	PIT	46%	109	96	21	4	1	1	9	28	3	2	0	219	306	312	618	94	289	26	8	262	80	-3	+0	+0	+2	+2	0.2
2029	25	MLB CTX	PIT	52%	167	147	33	6	1	2	13	42	5	3	1	224	309	320	629	95	290	25	8	266	83	-3	+0	+0	+3	+4	0.3
2030	26	MLB CTX	PIT	54%	206	182	40	7	1	3	16	52	6	3	1	220	304	319	623	99	289	25	8	268	84	-4	+0	+0	+4	+4	0.5
2031	27	MLB CTX	PIT	54%	222	196	43	8	1	3	18	56	6	3	1	219	305	316	621	97	289	25	8	268	84	-4	+0	+0	+4	+5	0.5
2032	28	MLB CTX	PIT	54%	231	203	44	8	1	3	19	58	7	3	1	217	306	310	616	94	289	25	8	267	83	-5	+0	-0	+4	+5	0.4
2033	29	MLB CTX	PIT	53%	227	200	44	8	1	3	19	58	6	3	1	220	307	315	622	95	288	26	8	266	82	-5	+0	-1	+4	+5	0.4
2034	30	MLB CTX	PIT	52%	223	197	42	7	1	3	18	57	6	3	1	213	299	305	603	91	287	26	8	263	80	-5	+0	-1	+4	+5	0.3
2035	31	MLB CTX	PIT	52%	210	185	40	7	1	3	17	55	6	2	1	216	303	314	616	97	284	26	8	259	77	-6	+0	-1	+4	+5	0.1
2036	32	MLB CTX	PIT	52%	196	173	36	6	1	2	16	52	5	2	0	208	294	289	583	81	281	27	8	254	74	-6	+0	-2	+4	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1828	1612	349	62	9	23	148	467	51	25	7	217	303	309	612	92	288	26	8	264	80	-42	+2	-5	+33	+40	2.8
/ 162G	—	A+C		—	650	573	124	22	3	8	53	166	18	9	2	216	303	307	610	91	289	26	8	264	80	-15	+1	-2	+12	+14	1.0
Career	—	MLE		—	3694	3248	715	121	24	53	300	931	117	58	13	220	309	321	630	101	290	25	8	286	80	-81	+6	-10	+63	+76	5.5
/ 162G	—	MLE		—	650	572	125	21	4	9	53	164	21	10	2	219	309	316	625	98	289	25	8	286	80	-15	+1	-2	+12	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#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
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#4Sandy 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
#5Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.8	1,878	27	25	221	303	323	+34	+24	4.4	4.1
/162	664	10	9	+11.9	+8.5	1.6	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
Lennyn Nunez (OGILVIE)	22	—	—	—	—	210/296/285	75	289	0	1	26%	8%	70	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Elih Marrero 2019 · A	22	46	36→40	49→55	47	214/278/280	67	279	3	5	23%	8%	60	-1.6	213/272/293	80	285	5	9	25%	7%	61	-1.5	210/267/320	110	294	8	22	29%	6%	62	-0.4
✕Carlos Alvarez 2008 · A	22	44	36→40	49→45	49	204/285/270	66	265	2	8	22%	8%	61	-1.5	227/306/316	89	269	4	8	16%	9%	80	-0.2	231/320/325	95	269	5	9	15%	9%	85	+0.1
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/285/300	89	297	5	7	29%	6%	68	-1.0	221/302/288	67	277	4	4	20%	8%	72	-0.7	240/332/298	58	287	4	1	16%	10%	84	+0.1
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	213/275/298	85	283	5	8	26%	8%	63	-1.3	216/286/336	120	301	12	3	30%	9%	77	-0.3	233/317/359	126	296	11	0	23%	11%	91	+0.3
✕Blake Swihart 2014 · A	22	48→51	39→45	45	42	231/271/327	97	292	5	7	23%	5%	68	-1.0	247/291/359	112	313	9	8	23%	6%	82	+0.0	256/303/369	113	322	9	7	22%	6%	87	+0.2
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	207/286/310	103	278	7	6	27%	8%	72	-0.7	220/287/309	89	313	7	4	29%	8%	71	-0.8	220/290/306	86	311	8	1	30%	8%	68	-0.3
✕Jeremy Arocho 2021 · A	22	48→45	36→30	48→60	47	224/285/296	72	288	3	10	22%	7%	66	-1.1	229/326/283	54	319	2	26	25%	12%	80	-0.2	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Jeferson Morales 2021 · A	22	44→48	41→45	48→50	51	208/295/315	107	257	6	8	21%	9%	76	-0.4	199/281/329	130	264	13	9	28%	8%	74	-0.5	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Leo Jiménez 2023 · A	22	46→49	40→45	48→45	49	216/322/312	96	283	8	9	24%	9%	86	+0.3	226/314/335	109	285	10	7	23%	7%	88	+0.4	228/319/335	107	286	10	5	22%	7%	87	+0.2
✕Marcus Littlewood 2014 · A	22	41	40→45	48→45	47	195/269/292	97	281	7	4	31%	9%	61	-1.5	206/271/315	109	271	10	5	26%	8%	66	-1.1	204/271/311	107	262	9	4	25%	8%	63	-0.7
✕Josh Johnson 2008 · A	22	46→49	36→45	45→50	54	217/298/285	69	278	3	9	22%	10%	70	-0.9	228/308/305	77	295	4	10	22%	10%	78	-0.3	244/312/343	100	289	8	16	17%	9%	85	+0.1
✕Bryan Lavastida 2021 · A	22	47→43	38→45	46→55	46	221/291/303	81	299	5	8	26%	8%	70	-0.8	220/287/334	114	288	11	13	26%	7%	76	-0.4	217/289/327	110	277	11	27	24%	8%	74	-0.4
✕Jace Jung 2023 · A	22	44→42	39→50	50→40	50	208/292/300	92	296	6	7	29%	10%	71	-0.8	215/300/370	155	288	18	4	30%	10%	90	+0.6	208/298/364	156	272	18	3	29%	11%	86	+0.3
✕Shawn Zarraga 2011 · A	22	49	38→40	49→45	45	224/303/301	77	318	5	6	29%	8%	76	-0.4	242/299/336	94	295	7	8	20%	6%	81	-0.1	277/346/357	80	319	4	2	13%	7%	103	+0.5
✕Dustin Garneau 2010 · A	22	44→39	39→50	51→45	47	210/289/298	89	279	6	6	25%	8%	70	-0.9	204/272/328	124	256	11	5	24%	8%	70	-0.9	171/262/344	173	215	21	1	31%	8%	70	-0.3
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Devin Mann 2019 · A	22	44	38→50	46→45	48	208/284/291	83	279	5	9	26%	9%	65	-1.2	218/288/366	148	285	17	7	28%	8%	84	+0.2	210/294/364	154	277	16	4	29%	9%	85	+0.2
✕Michael De La Cruz 2015 · A	22	44→46	37→40	53→50	50	207/288/290	84	284	3	13	26%	10%	67	-1.1	203/259/278	75	273	3	8	25%	7%	53	-2.1	212/294/350	138	266	14	2	25%	10%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps