Yoander Rivero — OGILVIE

Yoander Rivero2B Fredericksburg Nationals

Age 24 R/R 5'9" / 155 lbs A HR -9% Svc 0.0 · Ctrl thru 2036 peak 0.1 · 2029

wRC+†58

AVG/OBP/SLG.194 / .272 / .293

PA115

HR2

K%31

BB%9

MLB%0%

Scouting · now → future

HIT

30→30

PWR

25→25

SPD

40→40

EYE

56↗60

trajectory · 10 yrs

0.1peak

2029

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
2026	MiLB	still in minors · estimated debut 2031
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	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$1.0M	—	—	—
2034	Ext / FA-deal	$0.2M	—	—	—
2035	Ext / FA-deal	$0.4M	—	—	—
2036	Ext / FA-deal	$0.6M	—	—	—
Totals		$3M		$-19M	-$21M

Underwater contract
Projected production over the remaining contract is worth -$21M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2019	17	ROK	DSL Nationals	228	206	39	3	2	2	14	37	2	8	6	.189	.248	.252	.500	.063	.216	16	6	.218	25	-19	-1	+0	+1	+6	-1.3
2021	19	ROK	FCL Nationals	113	96	19	2	1	2	12	25	2	8	2	.198	.300	.302	.602	.104	.246	22	11	.262	59	-5	+1	+0	+0	+3	-0.1
2022	20	A	2 teams	281	249	43	8	2	0	26	108	2	10	5	.173	.256	.221	.477	.048	.301	38	9	.219	26	-23	+0	+0	+1	+8	-1.5
2023	21	A	2 teams	132	119	17	4	0	1	7	57	2	2	2	.143	.203	.202	.405	.059	.258	43	5	.180	-4	-16	-0	+0	+0	+4	-1.2
2024	22	ROK	FCL Nationals	163	141	18	4	0	2	15	42	1	3	1	.128	.217	.199	.415	.071	.160	26	9	.184	-1	-19	+0	+0	+1	+5	-1.3
2025	23	A	Fredericksburg Nationals	157	136	22	5	1	1	17	56	2	1	1	.162	.265	.235	.500	.074	.259	36	11	.229	33	-12	-0	+0	+1	+4	-0.7
▸ 2026 Season
2026	24	MLB	WSH	115	103	21	4	1	2	10	36	1	2	1	.204	.281	.320	.601	.117	.279	31	9	.261	58	-6	+0	+0	+0	+3	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 10%	WSH	192	171	35	7	1	3	17	58	2	3	1	.205	.284	.310	.594	.105	.282	30	9	.271	66	-7	+0	+0	+1	+5	-0.1
2028	26	MLB 25%	WSH	281	251	51	10	1	5	25	83	3	4	1	.203	.283	.311	.594	.108	.284	30	9	.277	71	-9	+0	+0	+1	+8	-0.0
2029	27	MLB 42%	WSH	330	294	62	12	2	7	30	97	3	5	1	.211	.291	.337	.627	.126	.284	29	9	.280	72	-10	+1	+0	+1	+9	0.1
2030	28	MLB 52%	WSH	361	321	67	13	2	7	33	106	4	4	1	.209	.291	.327	.618	.118	.284	29	9	.280	72	-11	+0	-1	+1	+10	-0.0
2031	29	MLB 63%	WSH	373	332	68	13	2	7	34	111	4	4	1	.205	.286	.319	.606	.114	.283	30	9	.278	71	-12	+0	-1	+1	+11	-0.1
2032	30	MLB 72%	WSH	379	337	69	13	2	7	35	114	4	4	1	.205	.287	.318	.605	.113	.282	30	9	.275	68	-14	+0	-2	+1	+11	-0.3
2033	31	MLB 90%	WSH	372	331	67	13	2	7	34	113	4	3	0	.202	.285	.317	.602	.115	.280	30	9	.271	65	-15	+1	-3	+1	+11	-0.5
2034	32	MLB	WSH	358	319	62	12	1	6	33	111	3	2	0	.194	.276	.295	.571	.100	.278	31	9	.266	62	-15	+0	-4	+1	+10	-0.7
2035	33	MLB	WSH	331	295	57	11	1	5	30	105	3	1	0	.193	.274	.288	.563	.095	.277	32	9	.261	58	-16	+0	-4	+1	+9	-0.9
2036	34	MLB	WSH	289	258	48	9	1	4	26	94	3	1	0	.186	.268	.275	.543	.089	.275	33	9	.255	53	-15	+0	-5	+1	+8	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			4455	3959	765	143	22	68	398	1353	45	65	24	.193	.274	.292	.566	.099	.271	30	9	.258	55	-225	+3	-20	+16	+126	-10.1
/ 162G	—			650	578	112	21	3	10	58	197	7	9	4	.194	.275	.292	.568	.099	.272	30	9	.258	55	-33	+0	-3	+2	+18	-1.5

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
2019	17	ROK	DSL Nationals	228	197	49	4	3	2	23	26	2	8	6	.249	.333	.330	.663	.081	.272	11	10	.298	86	-4	-1	—	—	+6	0.2
2021	19	ROK	FCL Nationals	113	89	24	2	1	3	19	17	2	8	2	.270	.409	.416	.825	.146	.304	15	17	.367	139	+5	+1	—	—	+3	0.9
2022	20	A+	Wilmington Blue Rocks	52	45	8	2	0	0	6	19	1	2	3	.178	.288	.222	.511	.044	.308	37	12	.248	48	-3	-1	—	—	+1	-0.2
2022	20	A	Fredericksburg Nationals	229	189	42	8	2	0	35	57	1	8	2	.222	.347	.286	.632	.063	.313	25	15	.295	84	-4	+1	—	—	+6	0.3
2023	21	A+	Wilmington Blue Rocks	62	57	10	2	0	1	2	22	0	1	1	.175	.203	.263	.467	.088	.257	35	3	.200	11	-6	-0	—	—	+2	-0.5
2023	21	A	Fredericksburg Nationals	70	56	11	3	0	0	11	19	2	1	1	.196	.348	.250	.598	.054	.297	27	16	.289	79	-2	-0	—	—	+2	0.0
2024	22	ROK	FCL Nationals	163	132	22	5	0	2	24	29	1	3	1	.167	.299	.250	.549	.083	.192	18	15	.255	54	-9	+0	—	—	+5	-0.4
2025	23	A	Fredericksburg Nationals	157	126	26	7	1	1	27	38	2	1	1	.206	.355	.302	.656	.095	.281	24	17	.308	94	-1	-0	—	—	+4	0.3

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
Yoander Rivero (OGILVIE)	24	30	25	40	60	.194/.272/.293	.099	.279	2	2	31%	9%	58	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dylan Neuse 2023 · A	24	37	39→40	49→50	44	.183/.260/.264	.081	.271	8	14	33%	9%	45	-2.1	.205/.286/.296	.091	.292	7	13	29%	9%	63	-0.8	.211/.301/.305	.094	.293	5	13	27%	10%	72	-0.1
✕Connor Justus 2019 · AA	24	39→37	38→40	42→45	46	.188/.273/.266	.078	.268	6	8	30%	8%	51	-1.7	.174/.249/.243	.069	.257	5	8	32%	7%	35	-2.8	.148/.220/.200	.051	.226	3	6	33%	6%	9	-2.7
✕Chase Pinder 2021 · AA	25	40	39→45	39→45	45	.193/.271/.272	.079	.282	7	5	32%	8%	51	-1.7	.213/.304/.343	.130	.284	14	8	28%	10%	84	+0.6	.221/.324/.370	.149	.286	16	11	27%	12%	97	+0.8
✕Caleb Hamilton 2019 · A	24	35	41→45	45	46	.176/.255/.278	.102	.255	8	5	32%	9%	46	-2.0	.184/.253/.289	.105	.270	10	8	33%	8%	47	-1.9	.145/.237/.274	.129	.209	19	3	39%	10%	37	-0.8
✕Nick Quintana 2022 · A	24	33→40	43→45	47→45	44	.172/.252/.279	.107	.245	11	6	33%	8%	46	-2.0	.191/.275/.301	.110	.267	11	5	30%	9%	61	-1.0	.177/.269/.279	.102	.246	10	3	30%	10%	50	-0.8
✕Tyler Reichenborn 2022 · A	24	37→44	42→45	42→50	40	.183/.254/.294	.110	.274	9	8	35%	7%	50	-1.8	.203/.278/.295	.092	.278	9	12	28%	8%	60	-1.0	.202/.282/.286	.084	.266	9	14	26%	8%	57	-0.7
✕Quincy McAfee 2023 · AA	25	39	43→45	43→45	46	.192/.280/.301	.108	.265	11	7	30%	9%	63	-0.8	.198/.277/.336	.138	.251	16	10	27%	7%	71	-0.3	.186/.266/.336	.150	.221	18	12	25%	7%	63	-0.5
✕Rylan Sandoval 2012 · A	24	39	40	45	37	.190/.256/.282	.091	.284	8	5	34%	5%	47	-1.9	.206/.258/.300	.094	.302	8	6	33%	5%	52	-1.6	.213/.261/.298	.086	.310	7	6	32%	5%	48	-0.7
✕Chadd Krist 2015 · A	25	40	41→40	44→45	43	.198/.262/.299	.100	.269	8	6	29%	7%	53	-1.5	.191/.246/.291	.100	.279	10	6	33%	6%	45	-2.1	.147/.198/.242	.094	.211	11	0	36%	5%	8	-1.4
✕Connor McVey 2019 · A	24	45	40→30	46→50	45	.214/.287/.304	.090	.311	7	9	32%	8%	66	-0.6	.205/.305/.281	.076	.291	6	9	29%	10%	69	-0.4	.188/.306/.248	.060	.265	6	9	28%	12%	59	-0.7
✕Austin Rei 2018 · A	24	37	39→40	37→40	39	.180/.254/.270	.090	.268	6	4	33%	6%	44	-2.1	.192/.267/.288	.096	.285	8	5	33%	7%	54	-1.4	.180/.262/.271	.091	.263	9	2	32%	8%	45	-0.7
✕Adam Weisenburger 2013 · AA	24	43	37→40	44→30	46	.202/.276/.270	.069	.270	4	5	25%	8%	53	-1.5	.214/.291/.304	.090	.282	7	4	25%	8%	68	-0.5	.212/.296/.301	.089	.272	7	2	23%	8%	68	-0.2
✕Travis Harrison 2017 · AA	24	43→49	38→40	41→45	46	.205/.283/.291	.086	.289	5	8	29%	8%	61	-1.0	.184/.270/.275	.091	.287	6	9	35%	8%	53	-1.5	.134/.241/.219	.085	.222	5	5	38%	9%	26	-1.9
✕Connor Kaiser 2021 · A	24	37	42→45	46→50	44	.189/.258/.292	.104	.257	10	6	30%	8%	51	-1.7	.190/.260/.311	.121	.275	14	11	34%	8%	56	-1.3	.170/.250/.285	.115	.250	14	17	36%	9%	43	-0.9
✕Joe Cronin 2018 · A	24	38	41→45	46→50	45	.186/.269/.280	.094	.266	9	8	32%	9%	53	-1.5	.185/.273/.283	.098	.288	9	9	36%	9%	56	-1.3	.166/.261/.261	.094	.262	9	10	37%	9%	43	-1.1
✕Grae Kessinger 2022 · AA	24	37→29	42→45	48→50	42	.191/.254/.286	.095	.257	11	14	30%	7%	47	-1.9	.192/.267/.310	.118	.259	14	15	30%	8%	59	-1.1	.186/.266/.299	.113	.246	14	14	29%	9%	54	-0.9
✕D.K. Carey 2016 · A	24	40→37	41→40	43→45	46	.198/.263/.294	.096	.250	9	8	24%	7%	53	-1.5	.189/.264/.281	.092	.267	8	6	30%	9%	50	-1.7	.170/.254/.253	.084	.250	7	4	33%	10%	37	-1.4
✕Joseph Odom 2016 · A	24	37	43→45	42→30	41	.190/.247/.301	.111	.262	11	4	32%	7%	48	-1.9	.216/.257/.326	.110	.293	10	3	29%	5%	58	-1.2	.181/.241/.287	.106	.308	12	2	43%	6%	39	-1.0
✕Stephen McGee 2015 · A	24	42	37→40	45→30	49	.199/.285/.266	.067	.268	5	4	26%	9%	56	-1.3	.202/.282/.286	.084	.287	7	4	29%	9%	59	-1.1	.193/.281/.289	.096	.278	9	1	31%	10%	58	-0.4
✕Michael Papierski 2021 · A	25	38→41	39→40	39→40	49	.185/.275/.265	.080	.259	8	5	30%	10%	52	-1.6	.202/.289/.301	.099	.269	10	3	27%	10%	67	-0.5	.198/.288/.298	.100	.256	11	0	25%	10%	63	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)