Andrés Chaparro

Andrés Chaparro1B Rochester Red Wings

INJURED · Reassigned to Minors (RM)

Age 27 R/R 6'0" / 200 lbs AAA HR -9% Svc 1.012 · Ctrl thru 2030

wRC+†vL 8863vR 15

AVG/OBP/SLG.215 / .283 / .390

PA142

HR5

K%25

BB%8

MLB%55%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

30→30

EYE

48↘40

trajectory · 10 yrs

0.0peak

2026

Contract

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

Status Pre-Arb

MLB Debut 2024

Service 1.012 yrs.days

Team Control Through 2030

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	—	—	—
2027	Pre-Arb	$0.8M	—	—	—
2028	Arb-1	$0.3M	—	—	—
2029	Arb-2	$0.4M	—	—	—
2030	Arb-3	$0.7M	—	—	—
Totals		$-14M		$-14M	+$0.0M

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	213	194	32	6	3	0	16	62	1	2	2	.165	.232	.227	.459	.062	.239	29	8	.209	18	-20	-0	+0	-4	+6	-1.8
2017	18	ROK	Pulaski Yankees	189	175	30	6	0	5	11	58	0	2	1	.171	.220	.291	.512	.120	.221	31	6	.229	33	-14	+0	+0	-3	+5	-1.2
2021	22	A	3 teams	557	486	103	21	3	16	53	162	12	4	4	.212	.305	.366	.671	.154	.277	29	10	.295	84	-10	-1	+0	-10	+16	-0.5
2022	23	AA	2 teams	288	263	67	14	0	17	18	72	6	4	0	.255	.317	.502	.819	.247	.286	25	6	.342	120	+6	+1	+0	-5	+8	1.0
2023	24	AAA	2 teams	749	680	139	26	2	26	52	196	8	5	1	.204	.269	.363	.632	.159	.242	26	7	.276	69	-26	+1	+0	-13	+21	-1.8
2024	25	AAA	3 teams	663	606	157	40	1	26	46	143	8	5	1	.259	.320	.457	.777	.198	.298	22	7	.333	113	+10	+1	+1	-12	+19	1.8
2025	26	AAA	4 teams	398	354	76	17	0	18	37	114	3	1	0	.215	.294	.415	.710	.201	.257	29	9	.306	92	-4	+0	-1	-7	+11	0.0
▸ 2026 Season (actual · ROS · total)
2026	27	AAA	Rochester Red Wings	68	63	11	1	0	2	4	18	1	1	1	.175	.235	.286	.521	.111	.209	26	6	.239	41	-5	-0	-0	-1	+2	-0.4
ROS	27	MLB	WSH	74	67	14	3	0	3	6	19	1	1	0	.209	.284	.388	.672	.179	.248	26	8	.293	82	-1	+0	-0	-1	+2	-0.1
TOT	27	MLB	WSH	142	130	25	4	0	5	10	37	2	2	1	.192	.261	.338	.599	.146	.227	26	7	.267	63	-6	+0	-0	-3	+4	-0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 66%	WSH	376	339	73	15	1	14	30	80	4	2	1	.215	.287	.389	.676	.174	.239	21	8	.301	88	-5	+0	-2	-7	+11	-0.3
2028	29	MLB 75%	WSH	378	341	73	15	1	14	30	82	4	2	1	.214	.285	.387	.672	.173	.238	22	8	.298	87	-6	+0	-3	-7	+11	-0.5
2029	30	MLB 83%	WSH	379	342	73	15	1	14	30	83	4	1	1	.213	.285	.386	.671	.173	.236	22	8	.295	84	-7	-0	-3	-7	+11	-0.7
2030	31	MLB 89%	WSH	364	328	68	14	0	13	29	81	4	0	0	.207	.280	.369	.649	.162	.235	22	8	.292	81	-8	+0	-4	-7	+10	-0.8
2031	32	MLB 95%	WSH	345	311	63	13	0	12	28	79	3	0	0	.203	.275	.360	.635	.158	.233	23	8	.287	78	-9	+0	-5	-6	+10	-1.0
2032	33	MLB	WSH	315	284	57	12	0	11	25	74	3	0	0	.201	.272	.359	.632	.158	.231	23	8	.281	73	-10	+0	-5	-6	+9	-1.2
2033	34	MLB	WSH	271	246	48	10	0	9	21	66	2	0	0	.195	.264	.346	.609	.150	.229	24	8	.274	68	-10	+0	-6	-5	+8	-1.3
▸ Career Totals (MLE all levels + projections)
Career	—			5559	5016	1073	227	12	198	432	1371	63	29	12	.214	.285	.382	.667	.168	.251	25	8	.293	82	-113	+1	-28	-99	+158	-8.3
/ 162G	—			650	587	125	27	1	23	51	160	7	3	1	.213	.284	.380	.664	.167	.249	25	8	.293	82	-13	+0	-3	-12	+18	-1.0

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	213	185	44	9	5	0	25	43	1	2	2	.238	.332	.341	.672	.103	.306	20	12	.305	92	-2	-0	—	—	+6	0.4
2017	18	ROK	Pulaski Yankees	189	169	40	9	0	7	17	41	0	2	1	.237	.306	.414	.721	.178	.270	22	9	.316	100	-0	+0	—	—	+5	0.5
2021	22	A+	Hudson Valley Renegades	155	129	34	4	3	8	24	34	2	1	1	.264	.387	.527	.914	.264	.299	22	15	.400	164	+11	-0	—	—	+4	1.6
2021	22	A	Tampa Tarpons	278	230	62	17	0	7	36	59	7	3	3	.270	.385	.435	.819	.165	.325	21	13	.363	136	+11	-1	—	—	+8	1.9
2021	22	INTL	Aguilas del Zulia	124	101	27	10	0	6	19	27	3	0	0	.267	.398	.545	.943	.277	.304	22	15	.409	171	+10	+0	—	—	+4	1.4
2022	23	AA	Somerset Patriots	271	239	69	16	0	19	25	54	6	3	0	.289	.370	.594	.965	.305	.299	20	9	.416	176	+23	+1	—	—	+8	3.2
2022	23	A	Tampa Tarpons	17	17	7	1	0	1	0	2	0	1	0	.412	.412	.647	1.059	.235	.429	12	0	.464	213	+2	+0	—	—	+0	0.3
2023	24	AAA	Scranton/Wilkes-Barre RailRiders	601	523	129	24	2	25	65	131	5	4	0	.247	.336	.444	.779	.197	.277	22	11	.342	120	+14	+1	—	—	+17	3.2
2023	24	INTL	Aguilas del Zulia	148	128	43	13	0	5	16	22	3	1	1	.336	.422	.555	.976	.219	.373	15	11	.426	184	+14	-0	—	—	+4	1.8
2024	25	MLB	Washington Nationals	132	121	26	12	0	4	7	24	4	1	1	.215	.280	.413	.694	.198	.237	18	5	.308	94	-1	-0	+1	-12	+4	-0.8
2024	25	AAA	Rochester Red Wings	457	402	132	27	1	23	49	82	4	3	0	.328	.407	.572	.979	.244	.365	18	11	.426	184	+43	+1	—	—	+13	5.8
2024	25	INTL	Aguilas del Zulia	74	65	21	3	0	5	8	11	0	1	0	.323	.397	.600	.997	.277	.320	15	11	.427	185	+7	+0	—	—	+2	1.0
2025	26	MLB	Washington Nationals	73	66	12	2	0	1	5	22	1	0	0	.182	.250	.258	.508	.076	.250	30	7	.233	37	-5	+0	-1	-7	+2	-1.1
2025	26	AAA	Rochester Red Wings	216	182	50	13	0	14	32	50	1	1	0	.275	.386	.577	.963	.302	.303	23	15	.415	176	+19	+0	—	—	+6	2.5
2025	26	ROK	FCL Nationals	17	15	4	1	0	1	2	5	0	0	0	.267	.353	.533	.886	.267	.333	29	12	.386	154	+1	+0	—	—	+0	0.2
2025	26	INTL	Aguilas del Zulia	92	77	27	2	0	1	12	15	1	0	0	.351	.444	.416	.860	.065	.413	16	13	.386	153	+6	+0	—	—	+3	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			205	187	38	14	0	5	12	46	5	1	1	.203	.270	.358	.628	.155	.241	22	6	.281	73	-6	-0	+0	-19	+6	-2.0

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
Andrés Chaparro (OGILVIE)	27	40	50	30	40	.215/.283/.390	.175	.253	5	1	25%	8%	88	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕O'Koyea Dickson 2017 · AAA	27	44→46	52→55	39→45	43	.231/.279/.400	.169	.260	19	4	20%	5%	88	+0.9	.219/.277/.390	.171	.259	21	6	24%	6%	85	+0.7	.197/.259/.366	.169	.226	22	4	25%	6%	68	-0.2
✕Roberto Lopez 2013 · AAA	27	45→48	49→50	36→45	44	.230/.283/.380	.150	.257	16	5	18%	5%	84	+0.6	.233/.279/.356	.123	.272	13	7	19%	5%	76	+0.0	.251/.300/.384	.132	.285	17	5	18%	5%	89	+0.4
✕Cody Overbeck 2013 · AAA	27	44→46	48→50	36→30	39	.227/.272/.367	.140	.296	17	2	29%	5%	76	+0.0	.216/.254/.367	.151	.292	20	3	33%	4%	69	-0.4	.203/.240/.364	.160	.276	23	1	35%	3%	59	-0.7
✕Kevin West 2007 · AAA	27	43→44	51→50	40→30	43	.224/.288/.379	.155	.271	19	4	25%	6%	86	+0.8	.222/.278/.359	.137	.285	17	4	27%	6%	76	+0.1	.216/.269/.339	.123	.279	16	0	28%	6%	65	-0.5
✕Cody Decker 2015 · AAA	28	36→39	56→65	37→30	40	.200/.263/.386	.186	.272	24	2	36%	7%	78	+0.2	.192/.251/.359	.167	.277	22	3	38%	6%	66	-0.6	.183/.255/.341	.158	.267	21	0	38%	8%	62	-0.3
✕Brandon Sing 2007 · AAA	26	39→42	53→50	38→40	49	.206/.294/.376	.170	.270	21	4	31%	10%	89	+0.9	.193/.253/.304	.111	.272	12	7	32%	7%	52	-1.6	.158/.189/.217	.059	.227	4	6	32%	4%	-2	-2.0
✕Jeff Clement 2011 · MLB	27	45→48	53→55	39→30	44	.233/.288/.408	.175	.282	21	3	26%	6%	94	+1.3	.220/.266/.373	.153	.277	17	3	26%	6%	75	-0.0	.204/.252/.347	.143	.255	15	1	26%	6%	59	-0.7
✕Ryan McBroom 2020 · MLB	28	49→52	49→55	35→40	42	.246/.299/.393	.148	.316	18	3	28%	6%	94	+1.3	.237/.291/.424	.187	.293	26	5	28%	6%	99	+1.7	.207/.267/.412	.205	.231	32	3	27%	7%	83	+0.5
✕Brett Carroll 2010 · MLB	27	43→45	52→55	40→50	42	.224/.278/.391	.167	.275	19	3	26%	6%	85	+0.7	.212/.280/.352	.140	.267	15	9	26%	6%	76	+0.1	.207/.272/.347	.140	.262	17	11	27%	7%	68	-0.3
✕Anthony García 2019 · AAA	27	42→46	50→55	42→45	46	.218/.286/.367	.150	.257	18	5	23%	7%	82	+0.5	.225/.293/.364	.139	.286	16	6	26%	7%	84	+0.6	.220/.288/.320	.100	.296	13	2	28%	8%	71	-0.1
✕Matt LaPorta 2013 · MLB	28	44→49	50→55	38→30	47	.227/.292/.376	.149	.265	18	2	22%	7%	87	+0.8	.225/.283/.396	.171	.258	21	4	22%	7%	89	+0.9	.213/.269/.409	.196	.228	25	0	20%	7%	85	+0.2
●Frank Schwindel 2019 · AAA	27	46→52	51→60	40→30	40	.241/.270/.399	.159	.267	19	3	19%	3%	83	+0.6	.241/.278/.410	.169	.265	21	3	18%	4%	90	+1.0	.243/.283/.423	.180	.265	24	1	19%	5%	92	+0.8
✕Dayan Viciedo 2015 · MLB	26	47→53	53→55	39→40	44	.243/.291/.412	.169	.278	21	2	22%	6%	95	+1.4	.245/.296/.394	.149	.287	17	4	21%	6%	93	+1.3	.256/.303/.371	.116	.304	12	0	20%	5%	85	+0.3
✕Matthew Brown 2010 · MLB	27	42→48	50→55	40→45	43	.218/.276/.372	.154	.274	17	7	27%	6%	79	+0.3	.198/.251/.326	.128	.273	13	6	31%	6%	56	-1.3	.177/.223/.298	.121	.252	12	3	34%	5%	34	-1.1
✕Preston Tucker 2018 · MLB	28	40→45	51→55	40	44	.213/.267/.374	.161	.251	20	3	24%	6%	76	+0.1	.220/.275/.366	.146	.257	16	4	21%	6%	77	+0.1	.232/.307/.388	.157	.271	17	1	21%	8%	95	+0.6
✕Austin Listi 2021 · AAA	27	46→54	49→45	39→30	47	.232/.304/.375	.143	.285	17	3	25%	8%	92	+1.2	.214/.272/.307	.093	.283	8	6	26%	6%	60	-1.0	.198/.254/.243	.045	.270	2	0	26%	6%	33	-1.0
✕Chris Parmelee 2015 · MLB	27	47→51	50	38→45	48	.239/.303/.392	.153	.284	18	3	23%	8%	95	+1.4	.231/.288/.371	.140	.286	16	4	24%	7%	83	+0.6	.215/.275/.349	.135	.268	16	2	26%	7%	71	-0.1
✕Travis Taijeron 2016 · AAA	27	41	52→55	40	42	.207/.290/.379	.172	.308	20	3	37%	8%	88	+0.9	.197/.281/.344	.147	.317	16	3	40%	9%	75	-0.0	.180/.273/.340	.160	.291	19	3	41%	9%	67	-0.4
✕Matt Davidson 2018 · MLB	27	38→44	54→60	42→30	37	.206/.260/.376	.170	.282	23	2	36%	6%	74	-0.1	.218/.287/.409	.191	.297	26	2	34%	7%	94	+1.3	.214/.287/.413	.199	.285	28	0	34%	8%	94	+1.0
●Xavier Scruggs 2015 · MLB	27	42→47	51→55	42→45	42	.213/.289/.370	.157	.301	19	7	34%	8%	85	+0.7	.218/.295/.369	.151	.295	17	6	30%	8%	87	+0.8	.213/.295/.375	.162	.282	20	4	30%	8%	86	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)