Jeremy Rivas — OGILVIE

Jeremy RivasSS Springfield Cardinals

Age 23 R/R 6'0" / 200 lbs AA HR -7%K -4% Svc 0.0 · Ctrl thru 2034 peak 0.6 · 2030

wRC+†42

AVG/OBP/SLG.189 / .258 / .258

PA320

HR3

SB17

K%31

BB%7

MLB%2%

Scouting · now → future

HIT

30→30

PWR

40→40

SPD

55→55

EYE

47↘45

trajectory · 10 yrs

0.6peak

2030

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
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+0.5	$2M	+$1M
2030	Arb-2	$0.9M	+0.6	$3M	+$2M
2031	Arb-3	$0.9M	+0.5	$2M	+$1M
2032	Ext / FA-deal	$0.6M	+0.3	$1M	+$0.8M
2033	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$8M	+$4M

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
2021	18	ROK	FCL Cardinals	200	183	40	5	1	0	9	46	6	6	5	.219	.278	.257	.535	.038	.288	23	4	.238	40	-13	-1	+0	+2	+6	-0.7
2022	19	A	Palm Beach Cardinals	471	436	86	12	1	2	26	156	4	8	6	.197	.249	.243	.492	.046	.298	33	6	.222	28	-38	-1	+0	+5	+13	-2.1
2023	20	A+	2 teams	537	488	80	16	0	2	35	159	5	25	6	.164	.227	.209	.436	.045	.234	30	7	.201	12	-53	+3	+0	+6	+15	-3.0
2024	21	AA	2 teams	534	477	107	8	1	2	38	137	8	31	10	.224	.293	.258	.550	.034	.306	26	7	.250	50	-30	+2	+0	+6	+15	-0.8
2025	22	AA	2 teams	518	469	79	15	1	8	36	189	11	21	9	.168	.244	.256	.500	.087	.259	36	7	.226	31	-40	+1	+0	+6	+15	-2.0
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Springfield Cardinals	59	50	9	1	0	0	8	21	0	6	1	.180	.293	.200	.493	.020	.300	36	14	.236	39	-4	+1	+0	+1	+2	-0.1
ROS	23	MLB	STL	261	235	45	7	1	2	21	82	3	11	3	.191	.266	.255	.522	.064	.277	31	8	.241	43	-17	+1	+0	+3	+7	-0.6
TOT	23	MLB	STL	320	285	54	8	1	2	29	103	3	17	4	.189	.271	.246	.517	.056	.286	32	9	.240	42	-21	+2	+0	+3	+9	-0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	STL	534	475	96	15	1	7	47	141	7	23	6	.202	.284	.282	.566	.080	.268	26	9	.262	59	-25	+2	+0	+6	+15	-0.2
2028	25	MLB 26%	STL	564	502	104	17	1	9	50	146	7	24	7	.207	.288	.299	.587	.092	.271	26	9	.272	66	-22	+2	+0	+6	+16	0.2
2029	26	MLB 44%	STL	581	516	109	18	1	11	53	150	7	25	7	.211	.293	.314	.607	.103	.273	26	9	.277	70	-20	+2	+0	+6	+16	0.5
2030	27	MLB 59%	STL	587	521	110	18	1	11	54	151	7	25	7	.211	.294	.313	.607	.102	.273	26	9	.278	71	-19	+2	+0	+6	+17	0.6
2031	28	MLB 69%	STL	586	520	110	18	1	11	54	152	7	24	6	.212	.294	.313	.608	.102	.273	26	9	.277	70	-20	+2	-1	+6	+17	0.5
2032	29	MLB 77%	STL	579	513	106	17	1	10	54	152	7	22	6	.207	.291	.302	.593	.096	.272	26	9	.275	69	-21	+2	-1	+6	+16	0.3
2033	30	MLB 95%	STL	570	505	104	17	1	10	53	152	7	21	5	.206	.290	.303	.593	.097	.270	27	9	.272	66	-22	+2	-2	+6	+16	0.1
2034	31	MLB	STL	557	494	100	16	1	9	52	150	6	18	4	.202	.286	.294	.580	.091	.269	27	9	.268	63	-23	+2	-3	+6	+16	-0.2
2035	32	MLB	STL	539	478	95	15	1	8	50	148	6	15	3	.199	.283	.285	.567	.086	.267	27	9	.264	60	-24	+2	-4	+6	+15	-0.5
2036	33	MLB	STL	510	452	89	14	1	7	47	144	6	12	2	.197	.281	.279	.560	.082	.266	28	9	.258	56	-25	+2	-4	+5	+14	-0.8
2037	34	MLB	STL	463	412	79	12	1	6	43	135	5	10	2	.192	.276	.269	.546	.078	.264	29	9	.252	51	-25	+1	-5	+5	+13	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			8591	7676	1539	240	16	115	722	2390	109	321	94	.200	.279	.281	.559	.080	.273	28	8	.257	55	-439	+27	-20	+92	+243	-9.8
/ 162G	—			650	581	116	18	1	9	55	181	8	24	7	.200	.278	.281	.559	.081	.271	28	8	.257	55	-33	+2	-1	+7	+18	-0.7

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
2021	18	ROK	FCL Cardinals	200	177	48	7	1	0	15	32	6	6	5	.271	.348	.322	.671	.051	.327	16	8	.308	94	-1	-1	—	—	+6	0.4
2022	19	A	Palm Beach Cardinals	471	425	104	16	1	2	37	104	4	8	6	.245	.311	.301	.612	.056	.316	22	8	.280	73	-15	-1	—	—	+13	-0.2
2023	20	A+	Peoria Chiefs	453	397	83	18	0	3	45	101	4	22	5	.209	.296	.277	.573	.068	.268	22	10	.264	61	-20	+2	—	—	+13	-0.5
2023	20	INTL	Scottsdale Scorpions	84	74	17	1	1	1	7	22	1	3	1	.230	.305	.311	.616	.081	.308	26	8	.277	70	-3	+0	—	—	+2	-0.0
2024	21	AA	Springfield Cardinals	459	395	104	8	1	3	46	85	8	27	10	.263	.352	.311	.663	.048	.325	19	10	.304	91	-5	+1	—	—	+13	1.0
2024	21	INTL	Bravos de Margarita	75	67	19	3	0	2	7	17	0	4	0	.284	.351	.418	.769	.134	.347	23	9	.341	119	+2	+1	—	—	+2	0.5
2025	22	AA	Springfield Cardinals	487	427	87	17	1	10	48	135	10	21	8	.204	.298	.319	.617	.115	.272	28	10	.284	76	-13	+1	—	—	+14	0.2
2025	22	INTL	Bravos de Margarita	31	28	6	2	0	0	1	6	1	0	1	.214	.267	.286	.552	.071	.261	19	3	.246	46	-2	-0	—	—	+1	-0.1

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
Jeremy Rivas (OGILVIE)	23	30	40	55	45	.189/.258/.258	.068	.274	3	11	31%	7%	42	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Braulio Vasquez 2022 · A	23	40	40	54→65	40	.192/.269/.282	.090	.299	8	28	36%	7%	53	-1.5	.216/.284/.315	.099	.302	7	27	29%	7%	67	-0.5	.225/.290/.320	.095	.304	4	32	25%	7%	66	-0.3
✕Nick Meyer 2021 · A	24	36	36→40	52→50	41	.176/.234/.238	.062	.249	4	15	30%	6%	26	-3.4	.211/.280/.295	.084	.276	8	14	25%	8%	60	-1.0	.207/.282/.288	.080	.266	10	16	25%	8%	57	-0.6
✕Claudio Finol 2023 · AA	23	39	38→40	49→45	40	.187/.243/.265	.078	.259	5	8	29%	6%	37	-2.7	.205/.266/.297	.092	.292	8	10	31%	7%	55	-1.4	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕Jordyn Adams 2023 · AA	23	40→41	38→45	57→60	36	.188/.243/.264	.076	.303	6	23	38%	6%	36	-2.7	.199/.258/.305	.106	.306	10	30	36%	7%	53	-1.5	.194/.256/.310	.116	.294	12	32	36%	7%	52	-1.3
✕Steven Baron 2014 · A	23	36	40→45	52→50	36	.183/.218/.281	.098	.255	7	9	31%	4%	30	-3.1	.212/.258/.297	.085	.293	5	9	28%	6%	50	-1.7	.233/.289/.308	.075	.313	4	8	25%	7%	63	-0.4
✕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
✕Raul Siri 2018 · A	23	39	38→40	51→50	43	.190/.250/.269	.079	.260	5	11	28%	7%	40	-2.4	.198/.262/.282	.084	.339	5	9	40%	6%	50	-1.8	.146/.232/.233	.088	.294	4	14	47%	8%	25	-0.6
✕Ismael Alcantara 2021 · A	22	42→30	38→45	56→50	41	.197/.266/.279	.082	.311	5	16	36%	8%	50	-1.7	.214/.271/.343	.129	.318	13	13	35%	6%	69	-0.4	.203/.261/.318	.115	.298	12	16	35%	6%	54	-0.8
✕Luke Williams 2021 · AA	24	41→45	42→45	51→60	43	.204/.265/.308	.104	.270	9	19	27%	6%	57	-1.2	.226/.285/.324	.098	.310	8	27	27%	7%	69	-0.4	.227/.288/.355	.128	.309	13	42	29%	7%	76	+0.0
✕Jarryd Dale 2023 · AAA	22	39→42	38→40	52→55	43	.190/.257/.267	.077	.283	6	19	33%	8%	43	-2.2	.188/.255/.280	.092	.289	8	15	35%	7%	46	-2.0	.135/.177/.229	.094	.204	13	7	41%	3%	-3	-1.1
✕Nick Quintana 2021 · A	23	39→40	39→45	49→45	37	.187/.241/.273	.085	.291	6	9	36%	6%	37	-2.6	.183/.266/.292	.109	.257	11	5	31%	9%	55	-1.4	.165/.258/.271	.106	.227	11	3	31%	10%	44	-1.1
✕Ray-Patrick Didder 2018 · A	23	42→46	38→45	52→60	39	.200/.276/.278	.078	.288	5	18	30%	6%	56	-1.3	.187/.267/.264	.077	.298	6	23	36%	7%	48	-1.9	.195/.280/.308	.112	.279	12	28	32%	8%	62	-0.6
✕Hayden Cantrelle 2022 · AA	23	35	41→45	54→55	54	.169/.297/.268	.099	.266	8	23	35%	14%	64	-0.8	.189/.306/.297	.108	.297	8	20	34%	13%	74	-0.1	.191/.310/.302	.111	.299	9	21	34%	12%	74	-0.0
✕Kenedy Corona 2022 · A	22	43→40	39→50	52→55	40	.209/.263/.298	.090	.280	6	19	27%	5%	54	-1.4	.207/.266/.340	.133	.290	15	23	32%	6%	66	-0.6	.196/.261/.326	.130	.273	15	27	32%	7%	58	-0.9
✕Arquímedes Gamboa 2021 · AA	23	38→43	36→40	50	45	.180/.255/.246	.066	.273	3	13	33%	9%	37	-2.6	.198/.277/.295	.097	.290	9	14	32%	10%	59	-1.1	.195/.282/.288	.093	.289	8	15	32%	10%	56	-0.7
✕Mike Martin 2016 · A	23	41	35→30	52→55	42	.188/.277/.248	.060	.302	3	12	35%	8%	49	-1.8	.222/.280/.282	.060	.288	3	17	22%	6%	56	-1.3	.244/.292/.297	.053	.299	2	23	18%	5%	62	-0.3
✕Ryan Bliss 2023 · A	23	36→46	44→45	51→60	39	.187/.243/.297	.111	.259	12	21	32%	6%	46	-2.0	.218/.284/.349	.131	.292	12	37	28%	7%	76	+0.1	.226/.298/.368	.142	.297	13	49	27%	8%	84	+0.6
✕Luis Aviles Jr. 2018 · A	23	38→42	38→50	52→55	32	.189/.222/.262	.074	.290	6	18	36%	4%	26	-3.4	.200/.243/.276	.076	.312	6	25	36%	5%	39	-2.5	.197/.239/.349	.152	.266	18	22	33%	4%	55	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)