Ricardo Genovés

Ricardo GenovésC Montgomery Biscuits

Age 27 R/R 6'2" / 190 lbs AA Svc 0.0 · Ctrl thru 2034 peak 0.2 · 2027

wRC+†63

AVG/OBP/SLG.196 / .267 / .318

PA170

HR4

K%33

BB%7

MLB%2%

Scouting · now → future

HIT

20→20

PWR

46→46

SPD

44→44

EYE

45→45

trajectory · 10 yrs

0.3peak

2028

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	+0.1	$0.4M	+$0.0M (cut)
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$-0.7M		$-7M	-$7M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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 Giants	235	216	41	9	0	1	13	49	5	0	0	.190	.252	.245	.498	.056	.241	21	6	.222	28	-19	+0	+0	+4	+7	-0.8
2017	18	ROK	AZL Giants	150	139	26	4	1	1	8	40	3	0	1	.187	.247	.252	.498	.065	.255	27	5	.220	27	-12	-0	+0	+3	+4	-0.6
2019	20	A	Augusta GreenJackets	72	68	16	3	0	2	3	22	1	0	0	.235	.278	.368	.645	.132	.318	31	4	.266	62	-3	+0	+0	+1	+2	0.0
2021	22	A+	4 teams	504	459	98	22	0	13	35	165	7	0	1	.214	.279	.346	.626	.133	.299	33	7	.275	68	-18	-0	+0	+9	+14	0.5
2022	23	AA	3 teams	424	387	68	13	1	10	28	153	6	0	0	.176	.242	.292	.534	.116	.256	36	7	.235	38	-30	+0	+0	+8	+12	-1.0
2023	24	AAA	2 teams	389	345	62	14	0	6	30	127	10	0	1	.180	.265	.272	.537	.093	.259	33	8	.240	42	-26	-0	+0	+7	+11	-0.8
2024	25	A+	3 teams	286	253	46	16	0	8	21	107	8	2	0	.182	.266	.340	.606	.158	.270	37	7	.263	60	-13	+0	+0	+5	+8	0.1
2025	26	AA	Montgomery Biscuits	90	84	13	1	0	2	4	39	1	0	0	.155	.202	.238	.440	.083	.250	43	4	.187	1	-10	+0	+0	+2	+3	-0.6
▸ 2026 Season
2026	27	MLB	TB	170	153	30	6	1	4	13	57	2	2	1	.196	.268	.327	.595	.131	.280	34	8	.267	63	-7	+0	+0	+3	+5	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 9%	TB	259	233	47	10	1	6	20	84	4	3	1	.202	.276	.330	.607	.129	.281	32	8	.272	66	-10	+0	-1	+5	+7	0.2
2028	29	MLB 19%	TB	299	270	54	11	1	7	23	96	4	2	1	.200	.273	.326	.599	.126	.281	32	8	.274	67	-11	+0	-1	+5	+8	0.1
2029	30	MLB 29%	TB	325	293	59	12	1	8	25	104	4	2	0	.201	.273	.331	.604	.130	.281	32	8	.273	67	-12	+0	-2	+6	+9	0.1
2030	31	MLB 40%	TB	308	277	56	12	1	7	24	99	4	1	0	.202	.275	.329	.604	.126	.279	32	8	.270	65	-12	+0	-3	+6	+9	-0.1
2031	32	MLB 49%	TB	287	259	51	11	1	6	22	94	4	0	0	.197	.270	.317	.587	.120	.278	33	8	.266	62	-12	+0	-4	+5	+8	-0.3
2032	33	MLB 63%	TB	253	228	44	9	1	5	20	84	3	0	0	.193	.267	.307	.574	.114	.276	33	8	.260	57	-12	+0	-4	+5	+7	-0.5
2033	34	MLB 81%	TB	209	188	36	7	1	4	16	71	3	0	0	.191	.266	.303	.569	.112	.274	34	8	.254	53	-11	+0	-5	+4	+6	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			4260	3852	747	160	10	90	305	1391	69	12	6	.194	.265	.311	.576	.117	.274	33	7	.256	54	-219	+0	-20	+76	+121	-4.3
/ 162G	—			650	588	114	24	2	14	47	212	11	2	1	.194	.267	.313	.580	.119	.273	33	7	.256	54	-33	+0	-3	+12	+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
2016	17	ROK	DSL Giants	235	207	53	13	0	1	22	34	5	0	0	.256	.342	.333	.675	.077	.302	14	9	.311	96	-1	+0	—	—	+7	0.6
2017	18	ROK	AZL Giants	150	135	34	6	1	2	12	28	3	0	1	.252	.327	.356	.682	.104	.305	19	8	.311	96	-1	-0	—	—	+4	0.3
2019	20	A	Augusta GreenJackets	72	65	19	4	0	2	6	17	1	0	0	.292	.361	.446	.807	.154	.370	24	8	.361	134	+3	+0	—	—	+2	0.5
2021	22	AAA	Sacramento River Cats	23	22	10	3	0	1	1	6	0	0	1	.455	.478	.727	1.206	.273	.600	26	4	.524	259	+4	-0	—	—	+1	0.4
2021	22	A+	Eugene Emeralds	245	217	47	11	0	7	22	73	3	0	0	.217	.298	.364	.662	.147	.286	30	9	.296	85	-4	+0	—	—	+7	0.3
2021	22	A	San Jose Giants	161	136	46	11	0	6	22	29	3	0	0	.338	.441	.551	.992	.213	.396	18	14	.437	193	+17	+0	—	—	+5	2.2
2021	22	INTL	Tiburones de La Guaira	75	66	17	2	0	4	8	11	1	0	0	.258	.347	.470	.816	.212	.255	15	11	.362	135	+3	+0	—	—	+2	0.5
2022	23	AAA	Sacramento River Cats	147	129	30	6	0	3	16	39	1	0	0	.233	.322	.349	.671	.116	.307	27	11	.305	92	-1	+0	—	—	+4	0.3
2022	23	AA	Richmond Flying Squirrels	203	182	37	8	1	7	17	58	4	0	0	.203	.286	.374	.659	.170	.256	29	8	.297	85	-3	+0	—	—	+6	0.2
2022	23	INTL	Tiburones de La Guaira	74	66	18	3	0	2	5	10	1	0	0	.273	.333	.409	.742	.136	.286	14	7	.324	106	+1	+0	—	—	+2	0.3
2023	24	AAA	Sacramento River Cats	287	248	54	13	0	6	31	79	6	0	1	.218	.319	.343	.662	.125	.291	28	11	.303	90	-3	-0	—	—	+8	0.5
2023	24	INTL	Caribes de Anzoategui	102	89	24	4	0	7	7	20	4	0	0	.270	.350	.551	.901	.281	.266	20	7	.385	153	+6	+0	—	—	+3	0.9
2024	25	AA	Montgomery Biscuits	108	93	20	8	0	5	12	29	1	0	0	.215	.311	.462	.774	.247	.250	27	11	.334	114	+2	+0	—	—	+3	0.5
2024	25	A+	Bowling Green Hot Rods	135	113	30	9	0	3	16	38	4	2	0	.265	.376	.425	.801	.159	.365	28	12	.357	131	+5	+0	—	—	+4	0.9
2024	25	INTL	Caribes de Anzoategui	43	36	9	2	0	0	4	6	3	0	0	.250	.372	.306	.678	.056	.300	14	9	.323	106	+0	+0	—	—	+1	0.2
2025	26	AA	Montgomery Biscuits	90	82	16	1	0	2	6	30	1	0	0	.195	.258	.280	.539	.085	.275	33	7	.246	46	-5	+0	—	—	+3	-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
Ricardo Genovés (OGILVIE)	27	20	46	44	45	.196/.267/.318	.123	.280	4	2	33%	7%	63	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dominic Miroglio 2022 · AA	27	41	44→45	44→40	43	.205/.269/.321	.117	.279	11	5	30%	7%	63	-0.9	.216/.284/.361	.145	.260	15	5	23%	8%	80	+0.4	.203/.270/.374	.171	.212	20	2	16%	7%	72	-0.1
✕Zack Short 2022 · MLB	27	36→39	49→50	47→45	49	.192/.289/.338	.146	.258	18	7	32%	10%	77	+0.1	.192/.286/.318	.126	.265	14	10	31%	11%	70	-0.3	.179/.280/.288	.109	.251	11	11	31%	12%	58	-0.7
✕Davis Wendzel 2023 · AAA	26	35→28	49→50	43→40	41	.191/.255/.331	.140	.253	18	5	32%	7%	60	-1.0	.195/.273/.341	.146	.245	19	5	28%	8%	71	-0.3	.191/.275/.335	.144	.229	19	4	26%	8%	68	-0.4
✕JJ Schwarz 2022 · AA	26	38	44→45	47→30	44	.195/.260/.302	.108	.268	12	4	31%	8%	54	-1.4	.216/.284/.346	.130	.306	15	4	32%	9%	76	+0.0	.206/.279/.334	.128	.290	16	1	33%	9%	68	-0.3
✕Brian Serven 2022 · AAA	27	35	49→50	46→30	38	.191/.245/.335	.144	.238	18	5	29%	5%	57	-1.2	.196/.257/.319	.123	.257	15	4	29%	6%	57	-1.2	.182/.252/.278	.096	.251	12	0	31%	7%	42	-0.9
✕Joe DeCarlo 2021 · AA	27	40→38	43→50	47→30	40	.197/.265/.308	.111	.291	11	5	34%	7%	58	-1.2	.199/.260/.292	.093	.305	9	6	35%	7%	51	-1.7	.163/.224/.224	.061	.249	8	0	36%	7%	16	-1.3
✕Grayson Greiner 2021 · MLB	28	40	46→45	45→30	44	.206/.272/.331	.125	.276	15	4	30%	8%	66	-0.6	.196/.260/.306	.110	.334	12	5	42%	7%	55	-1.4	.177/.244/.263	.086	.329	9	1	46%	8%	34	-0.9
✕Gabe Johnson 2008 · AAA	28	38	48→50	45→40	40	.198/.259/.337	.138	.279	17	5	35%	7%	63	-0.8	.207/.265/.317	.110	.307	10	8	34%	7%	59	-1.1	.179/.239/.258	.079	.273	6	4	35%	7%	31	-0.7
✕Jorge Saez 2018 · AA	27	39	48→45	46→30	42	.203/.267/.339	.136	.286	17	4	34%	8%	67	-0.5	.210/.276/.341	.131	.299	17	6	33%	8%	71	-0.3	.174/.247/.285	.110	.242	17	3	34%	8%	42	-0.6
✕Caleb Hamilton 2022 · AAA	27	36	44→45	46→45	43	.181/.257/.295	.114	.275	12	9	37%	9%	52	-1.6	.181/.267/.319	.138	.277	18	6	38%	10%	63	-0.9	.145/.237/.274	.129	.209	19	3	39%	10%	37	-0.8
✕Jason Delay 2022 · AAA	27	38	47→45	48→40	33	.198/.238/.325	.127	.287	15	6	36%	4%	50	-1.7	.216/.269/.301	.085	.295	5	5	27%	6%	56	-1.3	.226/.285/.301	.075	.297	3	2	23%	6%	61	-0.4
✕Mark Kolozsvary 2023 · MLB	27	37	46→40	47→30	38	.186/.270/.313	.127	.292	13	4	38%	7%	63	-0.9	.190/.267/.321	.131	.292	15	8	38%	6%	63	-0.8	.166/.225/.303	.137	.244	18	4	39%	5%	36	-0.5
✕Andrew Susac 2018 · MLB	28	37→39	48→50	47→30	43	.197/.261/.333	.136	.264	16	3	31%	8%	63	-0.9	.206/.283/.350	.144	.290	17	7	33%	9%	76	+0.1	.198/.293/.339	.141	.281	18	0	34%	11%	76	+0.0
✕Alvin Colina 2009 · AAA	27	39	45	45→40	37	.202/.247/.322	.121	.269	14	5	30%	4%	53	-1.5	.213/.264/.338	.125	.283	14	5	29%	5%	65	-0.7	.203/.256/.323	.120	.264	15	2	28%	5%	55	-0.5
✕Dave Wallace 2008 · AAA	28	34	47→45	43→40	42	.182/.258/.310	.127	.254	16	5	34%	8%	56	-1.3	.209/.277/.329	.120	.281	13	6	29%	8%	69	-0.4	.205/.282/.307	.102	.267	11	0	26%	8%	64	-0.2
✕Ryan Ortiz 2014 · AAA	26	40	43→45	46→40	47	.199/.281/.306	.107	.269	11	4	29%	9%	65	-0.7	.203/.295/.294	.091	.287	7	4	29%	10%	67	-0.5	.185/.302/.243	.058	.271	3	0	28%	13%	55	-0.7
✕Cael Brockmeyer 2018 · AAA	26	37→40	45	46→40	38	.192/.248/.309	.116	.266	13	4	32%	6%	51	-1.7	.214/.272/.315	.101	.317	10	7	34%	5%	63	-0.9	.241/.302/.322	.081	.371	7	5	34%	5%	73	-0.0
✕Brad Davis 2010 · AAA	27	40	46→50	42→45	44	.203/.262/.340	.136	.259	13	3	27%	7%	65	-0.7	.216/.268/.339	.123	.281	12	5	26%	6%	66	-0.6	.213/.264/.319	.106	.279	10	4	26%	6%	55	-0.8
✕Camden Duzenack 2022 · AAA	27	35→37	49→50	50	35	.190/.239/.328	.138	.268	18	9	36%	5%	52	-1.6	.214/.262/.346	.132	.279	14	11	28%	5%	66	-0.6	.215/.267/.343	.129	.269	14	10	25%	5%	65	-0.4
✕Renae Martinez 2021 · AA	27	42→32	43→50	44→40	43	.208/.271/.314	.106	.276	10	3	28%	7%	62	-0.9	.195/.264/.310	.115	.308	11	8	37%	8%	58	-1.2	.139/.221/.264	.125	.227	13	6	43%	8%	26	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)