Jeyson Moya — OGILVIE

Jeyson MoyaSS DSL Giants Orange

Age 19 R/R 6'1" / 165 lbs ROK BB -3% Svc 0.0 · Ctrl thru 2037 peak 2.9 · 2033

wRC+†54

AVG/OBP/SLG.199 / .267 / .289

PA62

HR1

K%32

BB%8

MLB%0%

trajectory · 10 yrs

2.9peak

2033

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Ext / FA-deal	$0.9M	+2.7	$26M	+$25M
2033	Ext / FA-deal	$1.0M	+2.9	$29M	+$28M
2034	Ext / FA-deal	$1.0M	+2.9	$29M	+$28M
2035	Ext / FA-deal	$6M	+2.8	$29M	+$24M
2036	Ext / FA-deal	$9M	+2.6	$28M	+$19M
2037	Ext / FA-deal	$11M	+2.3	$25M	+$14M
Totals		$29M		$166M	+$138M

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
2024	17	ROK	DSL Giants Orange	89	74	5	1	1	0	12	49	2	2	0	.068	.216	.108	.324	.041	.192	55	13	.163	-17	-12	+0	+0	+1	+3	-0.8
2025	18	ROK	DSL Giants Orange	62	51	5	0	0	0	10	26	0	1	0	.098	.246	.098	.344	.000	.192	42	16	.184	-1	-7	+0	+0	+1	+2	-0.5
▸ 2026 Season
2026	19	MLB	SF	62	56	11	2	0	1	5	20	1	1	0	.196	.274	.286	.560	.089	.290	32	8	.256	54	-3	+0	+0	+1	+2	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	20	MLB 11%	SF	153	137	30	5	1	3	13	45	2	3	1	.219	.296	.336	.632	.117	.298	29	8	.285	76	-4	+0	+0	+2	+4	0.2
2028	21	MLB 28%	SF	296	264	59	10	2	7	27	84	3	6	1	.223	.303	.356	.659	.133	.299	28	9	.300	88	-4	+1	+0	+3	+8	0.8
2029	22	MLB 48%	SF	402	356	82	14	3	11	38	111	5	9	2	.230	.313	.379	.692	.149	.300	28	9	.309	95	-2	+1	+0	+4	+11	1.5
2030	23	MLB 65%	SF	474	419	98	17	3	14	46	128	6	11	2	.234	.318	.389	.707	.155	.300	27	10	.316	100	-0	+1	+0	+5	+13	2.0
2031	24	MLB 82%	SF	520	457	107	18	3	16	52	139	6	13	2	.234	.320	.392	.712	.158	.301	27	10	.320	103	+2	+2	+0	+6	+15	2.5
2032	25	MLB	SF	548	480	114	19	4	17	56	146	7	13	3	.237	.326	.400	.726	.163	.301	27	10	.323	106	+3	+1	+0	+6	+16	2.7
2033	26	MLB	SF	564	493	118	20	4	18	59	150	7	14	2	.239	.329	.406	.735	.166	.302	27	10	.325	107	+4	+2	+0	+6	+16	2.9
2034	27	MLB	SF	569	497	119	20	4	18	60	152	7	13	2	.239	.330	.404	.734	.165	.302	27	11	.325	107	+4	+2	+0	+6	+16	2.9
2035	28	MLB	SF	567	495	118	20	4	18	60	152	7	13	2	.238	.329	.404	.733	.166	.301	27	11	.324	106	+4	+2	-1	+6	+16	2.8
2036	29	MLB	SF	560	488	114	19	3	17	60	152	7	11	1	.234	.326	.389	.715	.156	.301	27	11	.322	105	+3	+2	-1	+6	+16	2.6
2037	30	MLB	SF	550	479	112	19	3	17	59	151	7	10	1	.234	.327	.392	.719	.159	.299	27	11	.319	102	+1	+2	-2	+6	+16	2.3
2038	31	MLB	SF	537	469	108	18	3	16	57	150	6	7	0	.230	.321	.384	.705	.154	.298	28	11	.315	99	-0	+1	-3	+6	+15	2.0
2039	32	MLB	SF	519	453	103	17	3	15	55	147	6	5	0	.227	.319	.377	.697	.150	.296	28	11	.310	96	-3	+1	-4	+6	+15	1.6
2040	33	MLB	SF	490	430	95	16	3	13	52	143	5	3	0	.221	.312	.363	.675	.142	.295	29	11	.305	91	-5	+1	-4	+5	+14	1.1
2041	34	MLB	SF	443	389	83	14	2	11	46	133	5	1	0	.213	.305	.344	.649	.131	.293	30	10	.298	86	-7	+0	-5	+5	+13	0.6
2042	35	MLB	SF	389	342	71	11	2	9	40	120	4	0	0	.208	.298	.330	.628	.123	.291	31	10	.291	81	-9	+0	-6	+4	+11	0.1
2043	36	MLB	SF	329	289	59	9	2	7	34	105	3	0	0	.204	.294	.322	.616	.118	.288	32	10	.282	74	-10	+0	-6	+4	+9	-0.3
2044	37	MLB	SF	265	233	45	7	1	5	27	87	3	0	0	.193	.285	.296	.581	.103	.284	33	10	.272	66	-10	+0	-7	+3	+8	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			8388	7351	1656	276	51	233	868	2390	99	136	19	.225	.315	.372	.687	.147	.298	28	10	.309	94	-53	+20	-38	+90	+238	26.1
/ 162G	—			650	570	128	21	4	18	67	185	8	11	1	.225	.315	.370	.685	.146	.297	28	10	.309	94	-4	+2	-3	+7	+18	2.0

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
2024	17	ROK	DSL Giants Orange	89	67	7	2	1	0	19	34	2	2	0	.104	.318	.164	.482	.060	.206	38	21	.253	52	-5	+0	—	—	+3	-0.2
2025	18	ROK	DSL Giants Orange	62	45	6	0	0	0	16	17	0	1	0	.133	.361	.133	.494	.000	.207	27	26	.268	63	-3	+0	—	—	+2	-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
Jeyson Moya (OGILVIE)	19	—	—	—	—	.199/.267/.289	.090	.290	1	1	32%	8%	54	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Tim Beckham 2009 · A	19	42→52	38→55	49→50	38	.202/.248/.282	.080	.290	5	7	31%	5%	43	-2.2	.219/.267/.307	.088	.310	5	10	29%	5%	57	-1.2	.248/.301/.421	.173	.319	22	4	28%	6%	100	+1.3
●Lane Thomas 2015 · A	19	45→51	37→55	51→55	43	.210/.271/.289	.080	.308	3	9	31%	8%	54	-1.4	.192/.258/.279	.087	.311	6	12	37%	8%	47	-1.9	.248/.312/.427	.179	.308	21	13	25%	7%	107	+2.0
✕Andres Regnault 2018 · A	19	39	38→55	47→45	39	.185/.251/.256	.071	.289	6	6	36%	7%	39	-2.5	.226/.287/.352	.126	.291	13	7	26%	6%	79	+0.3	.248/.309/.417	.169	.290	19	6	21%	6%	103	+0.7
●Alex Liddi 2008 · A	19	41→51	41→60	47→50	36	.200/.246/.304	.104	.297	8	7	34%	5%	48	-1.9	.229/.277/.361	.132	.323	12	8	31%	6%	76	+0.1	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
●Amed Rosario 2015 · A	19	39→49	40→50	43→55	36	.196/.231/.287	.092	.270	7	5	30%	4%	37	-2.7	.236/.274/.327	.091	.314	4	12	25%	4%	64	-0.8	.286/.323/.422	.136	.344	12	14	20%	5%	107	+1.7
✕Brendan Rodgers 2016 · A	19	43→53	40→50	46→45	39	.205/.255/.298	.093	.301	7	7	33%	6%	50	-1.8	.224/.267/.352	.128	.288	14	5	27%	4%	69	-0.4	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
●Maikel Franco 2012 · A	19	36→46	38→55	48→40	37	.180/.226/.261	.081	.253	6	4	30%	5%	28	-3.2	.239/.273/.382	.143	.277	16	3	20%	4%	80	+0.4	.263/.299/.434	.171	.290	19	2	17%	4%	100	+1.6
●Wilin Rosario 2008 · A	19	39→49	37→60	45	35	.189/.235/.257	.068	.297	6	6	37%	5%	31	-3.0	.219/.259/.344	.125	.302	14	5	31%	5%	64	-0.8	.265/.302/.457	.192	.301	26	4	21%	5%	107	+1.6
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
✕Agustín Ramírez 2021 · A	19	40→45	41→55	46→50	40	.199/.248/.293	.095	.266	8	5	28%	5%	46	-2.0	.208/.268/.334	.126	.284	13	8	30%	7%	66	-0.6	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●Davis Schneider 2018 · A	19	40→44	41→55	48→50	50	.198/.276/.300	.102	.259	8	6	26%	9%	60	-1.0	.193/.268/.290	.097	.299	8	7	35%	8%	54	-1.4	.213/.322/.409	.196	.275	24	9	30%	12%	106	+1.6
✕Samad Taylor 2017 · A	19	45→53	38→50	50→65	42	.214/.267/.294	.079	.292	5	9	27%	6%	53	-1.5	.194/.259/.286	.092	.272	6	18	29%	7%	50	-1.8	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
●Renato Núñez 2013 · A	19	44→51	43→60	48→30	38	.215/.262/.330	.115	.285	9	5	27%	4%	61	-1.0	.213/.253/.351	.138	.277	17	3	29%	4%	64	-0.8	.238/.308/.452	.215	.278	31	1	26%	7%	111	+1.7
●Aaron Altherr 2010 · A	19	42→51	38→55	51→50	43	.201/.253/.279	.078	.267	5	11	26%	6%	44	-2.1	.200/.241/.279	.079	.282	6	16	30%	4%	38	-2.6	.244/.318/.420	.176	.303	17	14	24%	8%	104	+1.5
✕Ezequiel Tovar 2021 · A	19	44→50	37→55	50	44	.206/.273/.280	.074	.302	3	14	31%	8%	53	-1.5	.239/.275/.375	.136	.286	14	15	22%	4%	79	+0.3	.251/.287/.420	.170	.321	19	11	28%	4%	93	+1.2
✕Michael Chavis 2015 · A	19	44→47	38→60	48→45	39	.203/.258/.292	.090	.318	4	8	36%	6%	50	-1.8	.193/.237/.327	.134	.278	15	6	35%	4%	50	-1.7	.235/.292/.438	.203	.304	29	3	32%	6%	100	+1.1
●Austin Dean 2013 · A	19	40→50	39→55	45	45	.195/.265/.280	.085	.270	5	5	28%	8%	50	-1.7	.220/.275/.314	.094	.285	7	6	24%	6%	63	-0.9	.257/.302/.413	.156	.304	17	4	21%	5%	96	+1.1
✕Joe Benson 2007 · A	19	42→50	42→60	46→50	41	.206/.256/.312	.106	.277	8	10	28%	6%	54	-1.4	.214/.282/.309	.095	.312	6	13	31%	7%	65	-0.7	.231/.309/.414	.183	.319	19	15	32%	8%	101	+1.4
●Jamie Westbrook 2014 · A	19	45→52	39→55	50→45	43	.213/.267/.306	.093	.280	4	6	25%	6%	56	-1.3	.230/.270/.337	.107	.280	9	7	21%	4%	66	-0.6	.245/.316/.386	.141	.288	15	4	20%	8%	96	+1.1
●Christian Vázquez 2010 · A	19	43→53	36→50	48→45	40	.200/.257/.272	.072	.296	3	5	32%	6%	43	-2.2	.209/.259/.309	.100	.278	10	3	27%	6%	55	-1.4	.263/.314/.411	.148	.301	18	8	19%	7%	101	+1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)