Carlos Narváez — OGILVIE

Carlos NarváezC Boston Red Sox

Age 27 R/R 5'11" / 190 lbs MLB Svc 1.221 · Ctrl thru 2030 peak 2.7 · 2026

wRC+†vL 10188vR 93

AVG/OBP/SLG.224 / .300 / .389

PA454

HR15

SB5

K%26

BB%9

MLB%100%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

35→35

EYE

51↘45

trajectory · 10 yrs

1.9peak

2026

Contract

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

Status Pre-Arb

MLB Debut 2024

Service 1.221 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+2.7	$22M	+$21M
2027	Pre-Arb	$0.8M	+2.4	$20M	+$19M
2028	Arb-1	$4M	+2.2	$19M	+$14M
2029	Arb-2	$7M	+1.9	$17M	+$10M
2030	Arb-3	$8M	+1.5	$14M	+$6M
Totals		$20M		$90M	+$70M

Career Projections (MLE)

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.

Year	Age	Lvl	Team	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
2016	17	ROK	DSL Yankees 1	144	136	36	6	1	1	5	12	3	0	0	.265	.306	.346	.651	.081	.285	8	3	.278	71	-5	+0	+0	+3	+4	0.2
2017	18	ROK	GCL Yankees West	124	112	22	1	0	1	9	32	2	0	0	.196	.268	.232	.500	.036	.263	26	7	.220	27	-10	+0	+0	+2	+4	-0.5
2018	19	ROK	Pulaski Yankees	132	116	25	2	0	1	15	37	1	0	1	.216	.311	.259	.569	.043	.308	28	11	.262	59	-6	-0	+0	+2	+4	-0.0
2021	22	A	2 teams	319	276	53	7	0	7	33	128	5	3	0	.192	.290	.293	.583	.101	.315	40	10	.264	60	-14	+1	+0	+6	+9	0.1
2022	23	A+	Hudson Valley Renegades	300	265	37	9	1	9	28	112	5	4	2	.140	.235	.283	.518	.143	.192	37	9	.232	36	-22	+0	+0	+5	+8	-0.8
2023	24	AAA	3 teams	568	497	98	21	0	14	56	178	10	6	3	.197	.291	.324	.615	.127	.271	31	10	.277	70	-19	+0	+0	+10	+16	0.7
2024	25	AAA	3 teams	508	444	97	19	0	11	48	162	11	14	1	.218	.310	.336	.646	.117	.312	32	9	.288	78	-12	+2	+0	+9	+14	1.4
2025	26	MLB	Boston Red Sox	446	403	95	26	0	15	38	111	1	1	1	.236	.303	.412	.715	.176	.287	25	9	.310	96	-2	-0	+14	+8	+13	3.3
▸ 2026 Season (actual · ROS · total)
2026	27	MLB	Boston Red Sox	56	53	13	2	0	1	2	16	0	1	0	.245	.273	.340	.612	.094	.333	29	4	.267	62	-2	+0	+2	+1	+2	0.3
ROS	27	MLB	BOS	398	359	82	19	1	12	33	104	3	4	1	.228	.299	.387	.686	.159	.284	26	8	.306	92	-4	+0	+8	+7	+11	2.4
TOT	27	MLB	BOS	454	412	95	21	1	13	35	120	3	5	1	.231	.296	.381	.677	.150	.292	26	8	.301	88	-6	+1	+10	+8	+13	2.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB	BOS	450	406	93	21	1	14	38	102	3	4	1	.229	.300	.389	.689	.160	.269	23	8	.304	91	-4	+0	+8	+8	+13	2.6
2028	29	MLB	BOS	439	396	89	21	0	13	37	101	3	3	0	.225	.296	.376	.672	.152	.268	23	8	.302	90	-5	+1	+7	+8	+12	2.4
2029	30	MLB	BOS	429	386	86	20	0	13	37	100	3	2	0	.223	.296	.376	.671	.153	.266	23	9	.299	87	-6	+0	+6	+8	+12	2.1
2030	31	MLB	BOS	402	363	80	18	0	12	34	96	2	0	0	.220	.291	.369	.660	.149	.265	24	8	.295	84	-7	+0	+5	+7	+11	1.7
2031	32	MLB	BOS	371	334	72	17	0	10	32	90	2	0	0	.216	.288	.356	.644	.141	.263	24	9	.291	81	-8	+0	+4	+7	+11	1.3
2032	33	MLB	BOS	332	299	64	15	0	9	28	83	2	0	0	.214	.286	.355	.640	.140	.261	25	8	.285	76	-9	+0	+2	+6	+9	0.9
2033	34	MLB	BOS	282	255	53	12	0	7	24	73	1	0	0	.208	.279	.337	.616	.129	.259	26	9	.278	71	-9	+0	+1	+5	+8	0.5
2034	35	MLB	BOS	228	206	41	9	0	5	19	61	1	0	0	.199	.270	.316	.585	.117	.256	27	8	.270	65	-9	+0	-1	+4	+6	0.0
▸ Career Totals (MLE all levels + projections)
Career	—			5872	5253	1123	243	4	154	514	1582	58	41	10	.214	.291	.350	.641	.136	.273	27	9	.286	77	-153	+4	+56	+105	+166	18.2
/ 162G	—			650	581	124	27	0	17	57	175	6	5	1	.213	.290	.348	.638	.134	.272	27	9	.286	77	-17	+1	+6	+12	+18	2.0

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2016	17	ROK	DSL Yankees 1	144	133	45	9	1	1	8	8	3	0	0	.338	.389	.444	.832	.105	.355	6	6	.374	144	+7	+0	—	—	+4	1.1
2017	18	ROK	GCL Yankees West	124	106	27	1	0	1	15	22	2	0	0	.255	.358	.292	.650	.038	.310	18	12	.306	92	-1	+0	—	—	+4	0.2
2018	19	ROK	Pulaski Yankees	132	107	30	3	0	1	24	26	1	0	1	.280	.417	.336	.753	.056	.362	20	18	.356	130	+5	-0	—	—	+4	0.8
2021	22	A+	Hudson Valley Renegades	65	56	17	1	0	2	5	18	2	1	0	.304	.381	.429	.810	.125	.395	28	8	.355	130	+2	+0	—	—	+2	0.4
2021	22	A	Tampa Tarpons	254	205	49	8	0	7	43	76	3	2	0	.239	.378	.380	.759	.141	.336	30	17	.346	123	+7	+0	—	—	+7	1.4
2022	23	A+	Hudson Valley Renegades	300	248	48	12	1	11	45	87	5	4	2	.194	.329	.383	.712	.190	.243	29	15	.322	105	+2	+0	—	—	+8	1.0
2023	24	AAA	Scranton/Wilkes-Barre RailRiders	359	292	70	13	0	10	57	91	7	5	1	.240	.376	.387	.763	.147	.309	25	16	.348	125	+10	+1	—	—	+10	2.1
2023	24	AA	Somerset Patriots	60	51	12	5	0	2	7	17	2	1	2	.235	.350	.451	.801	.216	.312	28	12	.358	132	+2	-1	—	—	+2	0.3
2023	24	INTL	Cardenales de Lara	149	129	33	9	0	2	17	29	1	0	0	.256	.347	.372	.719	.116	.310	19	11	.324	106	+1	+0	—	—	+4	0.5
2024	25	MLB	New York Yankees	15	13	3	0	0	0	2	6	0	0	0	.231	.333	.231	.564	.000	.429	40	13	.274	68	-1	+0	+0	+9	+0	0.9
2024	25	AAA	Scranton/Wilkes-Barre RailRiders	403	335	85	20	0	11	56	105	8	9	1	.254	.373	.412	.785	.158	.332	26	14	.353	129	+13	+1	—	—	+11	2.6
2024	25	INTL	Cardenales de Lara	90	77	29	7	0	5	9	13	3	5	0	.377	.461	.662	1.123	.286	.400	14	10	.481	226	+13	+1	—	—	+3	1.7
2025	26	MLB	Boston Red Sox	446	403	97	27	0	15	38	111	1	1	1	.241	.308	.419	.727	.179	.294	25	9	.320	103	+2	-0	+14	+8	+13	3.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			461	416	100	27	0	15	40	117	1	1	1	.240	.309	.413	.722	.173	.297	25	9	.319	102	+1	-0	+14	+17	+13	4.6

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
Carlos Narváez (OGILVIE)	27	40	50	35	45	.227/.297/.384	.157	.269	14	4	23%	8%	92	+0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Hundley 2011 · MLB	27	45	50→55	40	47	.232/.291/.391	.159	.279	17	5	24%	8%	90	+1.0	.237/.299/.389	.152	.297	16	4	25%	8%	93	+1.3	.260/.304/.426	.166	.311	18	3	22%	6%	98	+0.9
✕Kyle Higashioka 2017 · AAA	27	43	50→60	40	44	.222/.266/.373	.151	.257	18	3	22%	6%	75	-0.0	.210/.259/.366	.156	.245	19	4	23%	6%	70	-0.3	.229/.276/.416	.187	.272	25	4	26%	6%	88	+0.4
●Luke Montz 2010 · MLB	27	39→45	47→55	38→40	46	.204/.269/.338	.134	.255	16	3	27%	8%	67	-0.5	.207/.277/.366	.159	.253	20	5	26%	8%	79	+0.3	.202/.277/.410	.208	.237	29	4	29%	8%	90	+0.6
✕Freddy Fermin 2022 · AAA	27	43	48→55	43→40	43	.223/.271/.357	.134	.264	17	4	23%	6%	73	-0.1	.242/.302/.396	.154	.284	20	4	22%	8%	96	+1.5	.251/.310/.399	.148	.290	19	2	20%	7%	97	+0.9
✕Andrew Young 2021 · MLB	27	43→46	54→55	44→40	42	.225/.306/.401	.176	.276	22	5	27%	6%	101	+1.8	.207/.288/.381	.174	.319	21	6	39%	7%	88	+0.9	.187/.272/.359	.173	.302	21	4	42%	7%	72	-0.1
✕Iker Franco 2009 · AAA	28	44→47	49→50	41→40	44	.228/.271/.371	.143	.257	18	4	20%	6%	76	+0.1	.237/.290/.387	.150	.256	19	3	16%	7%	89	+0.9	.239/.300/.375	.136	.274	18	0	20%	8%	91	+0.7
✕Said Gutierrez 2007 · AAA	27	43	47→50	41→40	44	.220/.271/.350	.130	.249	16	7	20%	5%	71	-0.3	.254/.297/.388	.134	.282	15	5	16%	5%	92	+1.2	.268/.309/.399	.131	.297	15	2	15%	5%	96	+0.8
✕Christian Villanueva 2018 · MLB	27	43→45	52→55	44→50	45	.226/.281/.389	.164	.260	20	5	23%	6%	85	+0.7	.239/.299/.430	.191	.288	26	7	26%	6%	105	+2.1	.237/.300/.447	.210	.279	31	5	27%	6%	107	+1.4
✕Andy Marte 2011 · MLB	27	46→50	51→55	41→40	47	.238/.289/.401	.163	.265	19	4	19%	7%	92	+1.2	.215/.271/.353	.138	.251	16	5	21%	7%	72	-0.2	.226/.272/.357	.130	.255	16	2	18%	5%	72	-0.1
✕Yu Chang 2023 · MLB	27	45→44	50	43→45	43	.227/.290/.383	.156	.298	17	5	29%	7%	88	+0.9	.224/.283/.384	.160	.287	21	12	29%	7%	85	+0.7	.194/.229/.358	.164	.220	28	18	28%	3%	53	-0.5
✕Riley Adams 2023 · MLB	27	42	50	43→40	43	.209/.295/.363	.155	.298	17	4	34%	8%	86	+0.8	.225/.297/.384	.159	.313	17	4	32%	7%	92	+1.2	.221/.291/.378	.157	.312	18	2	33%	7%	84	+0.3
✕Michael Pérez 2020 · MLB	27	45	47→50	36→40	46	.226/.286/.360	.134	.286	15	3	26%	8%	79	+0.3	.198/.266/.335	.137	.253	17	4	28%	8%	66	-0.6	.172/.250/.294	.122	.219	17	1	30%	8%	47	-0.8
✕Alan Trejo 2023 · MLB	27	42→44	51→50	40→45	37	.219/.258/.384	.164	.275	19	5	28%	4%	75	-0.0	.220/.270/.354	.134	.282	14	8	27%	6%	72	-0.2	.211/.267/.334	.124	.270	13	7	26%	6%	62	-0.5
✕Devin Mann 2023 · AAA	26	41→45	50→55	43→45	47	.213/.295/.369	.157	.269	18	5	28%	8%	87	+0.8	.217/.296/.366	.149	.290	16	5	29%	9%	87	+0.8	.206/.289/.344	.138	.278	15	4	30%	9%	75	-0.0
✕Scott Manea 2022 · AA	26	44→41	47→45	36→30	45	.219/.302/.351	.131	.293	16	4	29%	8%	85	+0.7	.203/.289/.302	.099	.305	9	4	33%	9%	66	-0.6	.162/.260/.231	.068	.260	6	0	36%	10%	34	-1.6
●Matthew LeCroy 2003 · MLB	27	48	54→55	38→30	48	.247/.304/.429	.182	.277	21	4	20%	7%	105	+2.1	.272/.331/.459	.187	.317	24	3	22%	7%	124	+3.4	.272/.340/.454	.182	.319	26	0	22%	8%	124	+1.9
✕Matthew Brown 2009 · MLB	26	45→48	52→55	41→45	42	.233/.285/.404	.170	.291	19	6	27%	6%	91	+1.1	.207/.262/.348	.141	.272	15	6	29%	6%	67	-0.5	.183/.241/.305	.122	.246	13	4	31%	6%	44	-1.1
✕Wyatt Toregas 2010 · MLB	27	45→38	46→45	43→40	45	.227/.280/.352	.125	.260	15	4	20%	6%	75	-0.0	.209/.260/.321	.112	.251	12	5	22%	5%	59	-1.1	.175/.219/.272	.098	.192	13	0	18%	4%	29	-0.6
✕Michael McKenry 2011 · AAA	26	43→46	47→55	40	45	.217/.279/.356	.139	.270	15	3	26%	7%	76	+0.1	.224/.287/.362	.138	.283	15	4	25%	8%	81	+0.4	.251/.325/.427	.177	.298	22	2	23%	9%	111	+0.9
✕Luis Torrens 2022 · MLB	26	45→49	52→55	44→30	46	.235/.294/.401	.166	.288	20	3	26%	8%	94	+1.3	.232/.287/.380	.148	.304	18	3	28%	7%	85	+0.7	.223/.277/.353	.130	.278	13	2	24%	6%	73	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)