Ricardo Cova — OGILVIE

Ricardo CovaSS Inland Empire 66ers

Age 22 R/R 5'9" / 145 lbs A HR +3% Svc 0.0 · Ctrl thru 2036 peak 1.8 · 2031

wRC+†78

AVG/OBP/SLG.220 / .273 / .330

PA320

HR6

SB9

K%26

BB%5

MLB%0%

Scouting · now → future

HIT

45→45

PWR

35→35

SPD

60→60

EYE

40↘20

trajectory · 10 yrs

1.8peak

2031

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	Pre-Arb	$0.9M	+1.8	$17M	+$16M
2032	Pre-Arb	$0.9M	+1.6	$15M	+$14M
2033	Pre-Arb	$1.0M	+1.5	$15M	+$14M
2034	Arb-1	$2M	+1.2	$12M	+$10M
2035	Arb-2	$3M	+0.9	$5M	+$1M
2036	Arb-3	$3M	+0.6	$3M	+$0.2M
Totals		$12M		$67M	+$55M

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	17	ROK	DSL Mariners	92	81	16	1	0	1	5	19	4	4	2	.198	.278	.247	.525	.049	.242	21	5	.232	36	-7	+0	+0	+1	+3	-0.3
2022	18	ROK	DSL Mariners	154	144	27	4	1	2	5	66	5	7	1	.188	.240	.271	.511	.083	.329	43	3	.225	30	-12	+1	+0	+2	+4	-0.5
2023	19	ROK	ACL Mariners	106	96	20	4	0	1	9	49	1	17	3	.208	.283	.281	.564	.073	.413	46	8	.256	54	-5	+2	+0	+1	+3	0.1
2024	20	ROK	2 teams	331	295	62	10	2	5	24	75	7	18	5	.210	.285	.308	.594	.098	.259	23	7	.262	59	-15	+2	+0	+4	+9	-0.1
2025	21	A	Modesto Nuts	377	349	83	17	1	7	14	95	8	26	5	.238	.283	.352	.635	.115	.300	25	4	.275	69	-13	+3	+0	+4	+11	0.5
▸ 2026 Season (actual · ROS · total)
2026	22	A	Inland Empire 66ers	77	74	21	2	2	2	3	17	0	2	2	.284	.312	.446	.758	.162	.345	22	4	.303	90	-1	-0	+0	+1	+2	0.2
ROS	22	MLB	SEA	243	226	53	9	2	5	12	62	3	7	2	.235	.282	.358	.641	.124	.295	26	5	.282	74	-7	+1	+0	+3	+7	0.3
TOT	22	MLB	SEA	320	300	74	11	4	7	15	79	3	9	4	.247	.289	.380	.669	.133	.312	25	5	.287	78	-8	+0	+0	+3	+9	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	SEA	417	385	92	16	3	9	24	94	5	12	4	.239	.292	.366	.659	.127	.292	23	6	.293	83	-8	+1	+0	+4	+12	0.9
2028	24	MLB 26%	SEA	471	433	104	18	3	11	29	105	6	13	4	.240	.297	.372	.669	.132	.293	22	6	.300	88	-7	+1	+0	+5	+13	1.3
2029	25	MLB 43%	SEA	501	457	111	20	3	12	33	111	6	14	4	.243	.302	.379	.681	.136	.293	22	7	.304	91	-5	+1	+0	+5	+14	1.6
2030	26	MLB 58%	SEA	517	470	115	20	3	13	35	115	7	14	4	.245	.307	.383	.690	.138	.294	22	7	.306	93	-4	+1	+0	+6	+15	1.7
2031	27	MLB 76%	SEA	523	475	115	20	3	13	36	117	7	14	4	.242	.305	.379	.684	.137	.294	22	7	.307	93	-4	+1	+0	+6	+15	1.8
2032	28	MLB 84%	SEA	522	473	115	20	3	13	37	117	7	13	4	.243	.308	.381	.688	.137	.293	22	7	.305	92	-5	+1	-1	+6	+15	1.6
2033	29	MLB	SEA	514	467	112	20	3	12	36	117	6	12	3	.240	.303	.373	.675	.133	.293	23	7	.303	90	-6	+1	-1	+6	+15	1.5
2034	30	MLB	SEA	505	458	109	19	3	12	36	117	6	11	3	.238	.302	.371	.673	.133	.291	23	7	.300	88	-7	+1	-2	+5	+14	1.2
2035	31	MLB	SEA	492	448	105	18	3	11	35	116	6	9	2	.234	.299	.362	.660	.127	.290	24	7	.296	85	-8	+1	-3	+5	+14	0.9
2036	32	MLB	SEA	474	432	100	17	3	10	33	114	6	8	2	.231	.295	.354	.649	.123	.289	24	7	.292	81	-10	+1	-4	+5	+13	0.6
2037	33	MLB	SEA	445	406	93	16	3	9	31	110	5	7	1	.229	.292	.350	.642	.121	.287	25	7	.286	77	-11	+1	-4	+5	+13	0.3
2038	34	MLB	SEA	399	364	82	14	2	8	28	102	4	6	1	.225	.288	.341	.629	.115	.286	26	7	.280	72	-12	+1	-5	+4	+11	-0.1
2039	35	MLB	SEA	346	315	68	11	2	6	24	92	4	5	0	.216	.280	.321	.601	.105	.284	27	7	.272	67	-13	+1	-6	+4	+10	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			7429	6774	1582	274	43	160	486	1793	103	217	54	.234	.295	.358	.652	.124	.292	24	7	.291	81	-161	+22	-25	+80	+210	12.8
/ 162G	—			650	593	139	24	4	14	43	157	9	19	5	.234	.297	.359	.656	.125	.293	24	7	.291	81	-14	+2	-2	+7	+18	1.1

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	17	ROK	DSL Mariners	92	77	19	2	0	1	9	13	4	4	2	.247	.356	.312	.667	.065	.281	14	10	.308	94	-1	+0	—	—	+3	0.2
2022	18	ROK	DSL Mariners	154	140	43	7	2	3	9	44	5	7	1	.307	.370	.450	.820	.143	.430	29	6	.367	139	+7	+1	—	—	+4	1.2
2023	19	ROK	ACL Mariners	106	91	30	7	0	1	14	33	1	17	3	.330	.425	.440	.864	.110	.509	31	13	.391	158	+7	+2	—	—	+3	1.2
2024	20	A	Modesto Nuts	127	110	22	3	2	0	10	25	4	2	1	.200	.290	.264	.554	.064	.250	20	8	.255	53	-7	+0	—	—	+4	-0.3
2024	20	ROK	ACL Mariners	204	174	55	11	3	5	25	28	3	16	4	.316	.411	.500	.911	.184	.350	14	12	.400	164	+15	+2	—	—	+6	2.3
2025	21	A	Modesto Nuts	377	344	94	23	1	6	19	75	8	26	5	.273	.326	.398	.724	.125	.327	20	5	.320	103	+1	+3	—	—	+11	1.6

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
Ricardo Cova (OGILVIE)	22	45	35	60	20	.220/.273/.330	.111	.285	6	10	26%	5%	67	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Noel Cuevas 2014 · A	22	46→50	42→45	56→55	40	.227/.271/.340	.113	.288	9	22	24%	5%	67	-0.5	.225/.262/.322	.097	.293	7	18	25%	4%	59	-1.1	.249/.283/.353	.103	.310	8	12	22%	3%	72	-0.1
✕Imbewer Alvarez 2008 · A	22	47	40	51→55	46	.225/.293/.318	.094	.300	7	17	26%	8%	72	-0.2	.201/.260/.278	.077	.307	5	12	34%	6%	47	-1.9	.135/.182/.184	.049	.223	4	5	40%	2%	-12	-1.0
✕Juan Mora 2022 · A	22	46	44→45	55	46	.222/.297/.343	.121	.288	11	15	26%	8%	81	+0.4	.226/.283/.335	.109	.306	10	9	28%	5%	72	-0.2	.220/.277/.325	.105	.292	10	8	27%	5%	65	-0.3
✕Anthony Jimenez 2018 · A	22	48→44	42→45	54→55	38	.231/.279/.341	.110	.318	9	23	29%	5%	71	-0.3	.213/.258/.313	.100	.319	8	15	34%	4%	55	-1.4	.197/.242/.288	.091	.294	7	14	34%	4%	38	-1.3
✕Sean Godfrey 2015 · A	23	50→46	41→45	57→55	38	.240/.274/.347	.106	.307	7	17	24%	3%	70	-0.3	.226/.254/.323	.097	.291	7	13	24%	3%	55	-1.4	.221/.244/.312	.092	.282	7	13	24%	2%	44	-1.0
✕Maximo Rivera 2014 · A	21	45	40→45	53→60	43	.219/.272/.307	.089	.279	8	21	24%	6%	59	-1.1	.213/.262/.283	.070	.295	4	11	27%	6%	49	-1.8	.198/.239/.245	.047	.274	3	7	27%	5%	25	-0.9
✕Matt Williams 2012 · A	22	45→48	42→40	54→50	44	.218/.280/.329	.111	.281	9	15	25%	7%	69	-0.4	.222/.273/.310	.088	.276	6	14	21%	6%	60	-1.0	.215/.288/.277	.063	.280	3	15	23%	9%	57	-0.7
✕Tyler Goeddel 2015 · A	22	45→49	41→45	56→55	42	.216/.273/.320	.104	.300	7	18	29%	6%	63	-0.8	.226/.284/.340	.114	.295	9	17	25%	7%	73	-0.1	.224/.286/.334	.110	.283	10	18	23%	7%	70	-0.2
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	.221/.274/.341	.120	.281	11	21	25%	6%	69	-0.4	.232/.276/.342	.110	.293	9	36	23%	5%	70	-0.3	.258/.299/.360	.102	.324	7	41	22%	5%	80	+0.3
✕Cooper Bowman 2022 · A	22	44→42	45	56→60	41	.216/.289/.348	.132	.304	12	18	31%	7%	79	+0.3	.200/.277/.317	.117	.285	12	34	32%	8%	66	-0.6	.200/.273/.320	.120	.271	12	40	29%	8%	62	-0.6
✕Kelby Tomlinson 2012 · A	22	49→59	40	55→60	44	.234/.284/.337	.103	.297	6	13	23%	6%	72	-0.2	.216/.269/.274	.058	.292	2	21	25%	6%	49	-1.8	.274/.334/.339	.065	.334	3	24	17%	7%	89	+0.7
✕Tito Polo 2017 · A	22	44→53	43→45	54→60	40	.218/.271/.324	.106	.277	11	25	25%	5%	64	-0.8	.228/.279/.335	.107	.305	9	28	27%	5%	69	-0.4	.229/.278/.333	.104	.312	7	34	27%	5%	65	-0.3
✕Adam Hall 2021 · A	22	48	39→40	53→60	39	.225/.286/.310	.085	.312	6	17	28%	5%	66	-0.6	.212/.280/.286	.074	.334	5	23	36%	6%	59	-1.1	.218/.296/.266	.048	.353	1	33	35%	6%	57	-0.5
✕Justin Trapp 2013 · A	22	44→45	41→45	54→55	40	.212/.269/.314	.103	.292	9	17	30%	6%	60	-1.0	.215/.269/.310	.095	.294	9	15	28%	6%	59	-1.1	.211/.263/.291	.080	.287	8	16	28%	5%	49	-1.5
✕Christopher Bostick 2015 · A	22	43→53	44→45	52→55	40	.212/.265/.333	.122	.290	10	15	30%	6%	64	-0.8	.222/.269/.335	.113	.294	9	15	26%	5%	66	-0.6	.235/.286/.345	.110	.306	9	7	25%	5%	72	-0.2
✕Efrain Contreras 2009 · A	22	46	43→45	53→55	44	.225/.288/.337	.112	.264	11	13	19%	5%	76	+0.0	.205/.261/.289	.084	.285	7	9	29%	6%	51	-1.7	.186/.239/.251	.065	.275	6	7	33%	5%	28	-1.3
✕Cayden Wallace 2023 · A	21	46→43	43→45	56→50	42	.224/.277/.340	.116	.301	9	15	28%	6%	70	-0.3	.218/.275/.336	.118	.288	10	12	27%	6%	69	-0.4	.212/.270/.327	.116	.280	10	13	27%	6%	62	-0.6
✕Paul Vasquez 2008 · A	23	47	43→45	52→30	39	.231/.271/.342	.111	.307	10	9	28%	5%	68	-0.5	.234/.273/.339	.105	.293	8	5	22%	3%	68	-0.5	.235/.269/.339	.104	.292	8	2	22%	2%	63	-0.3
✕Corey Toups 2016 · A	23	48→47	41→45	56→50	46	.230/.290/.340	.110	.297	7	16	24%	7%	76	+0.0	.212/.273/.328	.116	.301	10	16	31%	6%	66	-0.6	.197/.262/.309	.112	.294	10	16	34%	7%	54	-1.0
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	.218/.272/.315	.097	.296	8	17	29%	6%	61	-1.0	.220/.277/.307	.087	.292	5	34	25%	6%	62	-0.9	.224/.282/.314	.089	.295	5	42	24%	6%	63	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)