Jacob Amaya — OGILVIE

Jacob AmayaSS Reno Aces

Age 27 R/R 5'10" / 180 lbs AAA HR -5% Svc 2.000S2 · Ctrl thru 2029

wRC+†vL 1155vR -20

AVG/OBP/SLG.172 / .240 / .262

PA250

HR4

K%29

BB%8

MLB%10%

Scouting · now → future

HIT

45→45

PWR

55→55

SPD

50→50

EYE

48↗60

trajectory · 10 yrs

-0.4peak

2028

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2024

Service 2.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.2M	—	—	—
2027	Arb-2	$0.2M	—	—	—
2028	Arb-3	$0.4M	—	—	—
2029	Arb-4	$0.6M	—	—	—
Totals		$-5M		$-5M	+$0.0M

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
2017	18	ROK	AZL Dodgers	140	125	25	3	1	2	12	36	2	4	2	.200	.281	.288	.569	.088	.261	26	9	.245	46	-9	+0	+0	+2	+4	-0.3
2018	19	ROK	2 teams	274	240	60	7	2	3	32	64	1	14	7	.250	.341	.333	.674	.083	.329	23	12	.301	88	-4	+0	+0	+3	+8	0.7
2019	20	A	2 teams	559	491	105	23	5	6	56	123	4	5	7	.214	.299	.318	.617	.104	.268	22	10	.276	69	-19	-2	+0	+6	+16	0.1
2021	22	AA	2 teams	543	497	88	13	1	13	39	159	2	6	1	.177	.240	.286	.525	.109	.227	29	7	.236	39	-38	+1	+0	+6	+15	-1.6
2022	23	AAA	2 teams	567	502	109	17	3	15	55	144	4	6	2	.217	.299	.353	.652	.135	.269	25	10	.288	79	-14	+0	+0	+6	+16	0.9
2023	24	AAA	Jacksonville Jumbo Shrimp	566	506	116	24	2	13	48	122	3	6	2	.229	.300	.362	.661	.132	.271	22	8	.289	79	-13	+0	+0	+6	+16	1.0
2024	25	AAA	2 teams	374	345	61	9	2	4	26	120	2	7	0	.177	.239	.249	.488	.072	.257	32	7	.222	28	-30	+1	+1	+4	+11	-1.4
2025	26	AAA	3 teams	363	328	60	7	0	7	29	116	1	8	4	.183	.251	.268	.520	.085	.254	32	8	.231	35	-27	+0	+0	+4	+10	-1.2
▸ 2026 Season (actual · ROS · total)
2026	27	AAA	Reno Aces	61	52	11	2	1	2	6	15	1	0	0	.212	.305	.404	.709	.192	.243	25	10	.309	95	-0	+0	+0	+1	+2	0.2
ROS	27	MLB	ARI	189	171	30	5	1	3	15	54	1	3	1	.175	.246	.269	.515	.094	.232	29	8	.240	42	-12	+0	+1	+2	+5	-0.4
TOT	27	MLB	ARI	250	223	41	7	2	5	21	69	2	3	1	.184	.260	.300	.561	.117	.237	28	8	.257	55	-13	+0	+1	+3	+7	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 20%	ARI	367	330	62	10	2	8	32	92	2	5	1	.188	.264	.303	.567	.115	.230	25	9	.255	53	-19	+1	+1	+4	+10	-0.4
2028	29	MLB 33%	ARI	371	333	64	11	2	8	32	93	3	4	1	.192	.269	.309	.578	.117	.234	25	9	.258	56	-19	+0	-0	+4	+11	-0.4
2029	30	MLB 43%	ARI	374	335	64	11	2	8	33	95	3	3	0	.191	.270	.307	.577	.116	.235	25	9	.258	56	-19	+1	-1	+4	+11	-0.4
2030	31	MLB 52%	ARI	359	322	60	10	2	7	31	92	3	2	0	.186	.264	.295	.559	.109	.235	26	9	.256	54	-19	+0	-1	+4	+10	-0.6
2031	32	MLB 64%	ARI	340	305	56	9	1	7	30	89	2	0	0	.184	.261	.289	.550	.105	.233	26	9	.251	50	-19	+0	-2	+4	+10	-0.8
2032	33	MLB 73%	ARI	310	278	50	8	1	6	27	84	2	0	0	.180	.257	.281	.538	.101	.231	27	9	.245	46	-19	+0	-3	+3	+9	-1.0
2033	34	MLB 81%	ARI	267	240	42	7	1	4	23	74	2	0	0	.175	.253	.263	.515	.088	.228	28	9	.239	41	-18	+0	-4	+3	+8	-1.2
▸ Career Totals (MLE all levels + projections)
Career	—			5963	5348	1052	174	28	114	520	1557	37	73	28	.197	.272	.304	.576	.107	.252	26	9	.259	56	-296	+3	-9	+64	+169	-7.0
/ 162G	—			650	583	114	19	3	12	57	170	4	8	3	.196	.272	.300	.572	.105	.251	26	9	.259	56	-32	+0	-1	+7	+18	-0.8

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
2017	18	ROK	AZL Dodgers	140	118	30	4	1	2	19	25	2	4	2	.254	.367	.356	.723	.102	.304	18	14	.332	112	+2	+0	—	—	+4	0.6
2018	19	A	Great Lakes Loons	119	98	26	1	0	1	20	18	0	3	3	.265	.390	.306	.696	.041	.316	15	17	.328	109	+1	-1	—	—	+3	0.4
2018	19	ROK	Ogden Raptors	155	127	44	9	3	3	27	29	1	11	4	.346	.465	.535	1.000	.189	.432	19	17	.442	196	+17	+1	—	—	+4	2.2
2019	20	A+	Rancho Cucamonga Quakes	89	80	20	3	2	1	7	15	0	1	3	.250	.310	.375	.685	.125	.292	17	8	.300	88	-1	-1	—	—	+3	0.0
2019	20	A	Great Lakes Loons	470	386	101	25	4	6	74	83	4	4	4	.262	.386	.394	.780	.132	.314	18	16	.352	127	+15	-1	—	—	+13	2.8
2021	22	AA	Tulsa Drillers	476	417	90	15	1	12	52	103	2	5	0	.216	.306	.343	.649	.127	.254	22	11	.293	83	-9	+1	—	—	+13	0.5
2021	22	INTL	Glendale Desert Dogs	67	54	18	3	0	3	13	13	0	1	1	.333	.463	.556	1.018	.222	.395	19	19	.448	201	+8	-0	—	—	+2	1.0
2022	23	AAA	Oklahoma City Dodgers	351	294	76	10	1	8	49	83	4	3	1	.259	.372	.381	.753	.122	.329	24	14	.341	119	+8	+0	—	—	+10	1.8
2022	23	AA	Tulsa Drillers	216	182	48	10	3	9	32	29	0	3	1	.264	.374	.500	.874	.236	.267	13	15	.381	150	+12	+0	—	—	+6	1.9
2023	24	AAA	Jacksonville Jumbo Shrimp	566	484	122	26	2	15	70	106	3	6	2	.252	.350	.407	.757	.155	.288	19	12	.336	116	+10	+0	—	—	+16	2.7
2024	25	MLB	Chicago White Sox	72	68	12	1	0	0	4	28	0	1	0	.176	.222	.191	.413	.015	.300	39	6	.195	7	-8	+0	+1	+4	+2	-0.1
2024	25	AAA	Sugar Land Space Cowboys	302	267	59	10	2	5	32	72	2	6	0	.221	.309	.330	.639	.109	.283	24	11	.292	82	-6	+1	—	—	+9	0.4
2025	26	MLB	Chicago White Sox	73	66	7	1	0	0	3	16	0	2	0	.106	.145	.121	.266	.015	.132	22	4	.121	-49	-12	+0	+0	+4	+2	-0.6
2025	26	AAA	Charlotte Knights	219	188	47	5	0	9	29	64	1	5	4	.250	.353	.420	.773	.170	.328	29	13	.347	124	+6	-1	—	—	+6	1.2
2025	26	INTL	Jaguares de Nayarit	71	57	14	3	0	4	14	19	0	1	0	.246	.394	.509	.903	.263	.294	27	20	.398	163	+5	+0	—	—	+2	0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			145	134	19	2	0	0	7	44	0	3	0	.142	.184	.157	.341	.015	.204	30	5	.157	-21	-20	+1	+1	+8	+4	-0.6

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
Jacob Amaya (OGILVIE)	27	45	55	50	60	.172/.240/.262	.089	.232	4	4	29%	8%	36	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Clint Sammons 2010 · MLB	27	40→50	42→40	49→45	41	.202/.247/.297	.095	.252	10	9	24%	5%	46	-2.0	.182/.234/.285	.103	.229	13	8	26%	6%	39	-2.5	.141/.193/.225	.084	.174	12	2	27%	5%	4	-1.9
✕Luke Maile 2018 · MLB	27	39→49	40→45	44→40	41	.194/.238/.281	.087	.238	8	4	22%	5%	38	-2.6	.211/.273/.314	.103	.281	9	7	27%	7%	62	-0.9	.228/.311/.350	.122	.312	11	4	28%	9%	84	+0.2
✕John Ryan Murphy 2018 · MLB	27	42→47	40→50	46→40	45	.207/.256/.295	.088	.253	9	3	22%	6%	50	-1.8	.203/.250/.348	.145	.261	19	3	30%	6%	62	-0.9	.188/.234/.375	.188	.232	28	0	33%	5%	60	-0.4
✕Angelo Castellano 2022 · AAA	27	38→42	43→45	49→50	40	.196/.249/.299	.103	.256	12	13	28%	6%	49	-1.8	.207/.271/.322	.115	.258	13	13	24%	7%	64	-0.8	.204/.274/.324	.120	.246	14	14	23%	8%	62	-0.4
✕Yadiel Rivera 2019 · MLB	27	38→48	38→40	45→50	38	.187/.238/.257	.071	.270	6	7	32%	6%	32	-3.0	.216/.254/.318	.102	.312	12	16	33%	5%	55	-1.4	.224/.248/.329	.106	.322	14	23	35%	3%	50	-1.1
✕Pete Kozma 2014 · MLB	26	43→46	39→40	46→50	46	.207/.259/.292	.085	.255	6	6	21%	7%	50	-1.8	.207/.265/.288	.081	.253	6	10	20%	7%	52	-1.6	.191/.240/.281	.091	.237	6	6	22%	5%	37	-1.7
✕David Thompson 2021 · AAA	27	40→46	43→45	50	41	.201/.260/.314	.113	.263	11	13	27%	6%	57	-1.2	.209/.280/.368	.159	.282	19	16	32%	6%	80	+0.4	.176/.260/.359	.182	.229	23	20	34%	6%	66	-0.3
✕Jason Delay 2023 · MLB	28	41	39→45	42→40	39	.202/.249/.290	.088	.280	7	5	30%	5%	45	-2.1	.221/.277/.307	.086	.290	5	5	24%	6%	62	-0.9	.215/.272/.281	.066	.278	3	2	22%	6%	49	-0.6
✕Erick Monzon 2009 · AA	27	38→42	41→45	52→50	43	.193/.246/.292	.100	.253	9	12	27%	7%	45	-2.1	.198/.248/.305	.107	.279	12	12	32%	6%	50	-1.8	.178/.219/.275	.097	.243	15	13	33%	5%	27	-1.0
✕Alex De Goti 2022 · AAA	27	42→46	43→45	49→50	43	.206/.269/.317	.110	.278	10	8	28%	7%	61	-1.0	.201/.276/.293	.092	.275	7	9	27%	9%	59	-1.1	.191/.273/.268	.077	.259	6	10	26%	9%	48	-1.1
✕Deven Marrero 2019 · MLB	28	40→48	39→45	49→50	38	.197/.238/.283	.085	.275	7	11	30%	5%	38	-2.6	.200/.253/.316	.116	.280	13	11	32%	6%	54	-1.4	.191/.250/.298	.107	.262	13	10	31%	7%	45	-0.9
✕Eric Stamets 2019 · AAA	27	40→50	45	52→50	39	.202/.258/.324	.122	.269	12	11	29%	5%	59	-1.1	.196/.251/.306	.110	.274	10	14	31%	6%	51	-1.7	.162/.229/.262	.100	.232	10	16	33%	6%	28	-1.3
✕Jancarlos Cintron 2022 · AAA	27	42→52	40	48→50	43	.207/.250/.293	.086	.249	9	12	21%	5%	46	-2.0	.237/.277/.332	.095	.286	7	13	19%	5%	68	-0.5	.239/.280/.322	.083	.285	5	12	17%	4%	63	-0.5
✕Donny Lucy 2010 · MLB	27	42→45	40	48→50	38	.207/.248/.294	.088	.281	8	10	29%	5%	46	-2.0	.199/.244/.294	.095	.265	9	8	27%	5%	44	-2.1	.178/.227/.267	.089	.231	8	5	26%	4%	27	-1.1
✕Audy Ciriaco 2014 · AAA	27	42→48	43→50	49→50	39	.210/.244/.318	.109	.253	11	13	22%	4%	50	-1.7	.209/.252/.340	.131	.254	14	7	23%	5%	60	-1.0	.203/.246/.340	.136	.246	14	2	24%	5%	56	-0.8
✕Taylor Featherston 2017 · MLB	27	41→45	47→50	49→50	38	.209/.253/.343	.135	.265	14	11	27%	4%	62	-0.9	.190/.246/.310	.120	.287	13	11	37%	5%	50	-1.7	.164/.225/.278	.114	.280	14	10	44%	5%	31	-1.9
✕Orlando Calixte 2019 · MLB	27	44→48	45	54→55	40	.221/.258/.338	.117	.281	13	18	26%	5%	61	-1.0	.222/.264/.325	.103	.295	11	18	27%	5%	60	-1.0	.211/.256/.276	.065	.286	6	25	27%	6%	41	-0.6
✕Jose Trevino 2020 · MLB	27	42→52	40→45	44→40	41	.206/.235/.294	.088	.240	8	4	19%	4%	40	-2.4	.227/.261/.346	.119	.268	12	5	20%	4%	65	-0.7	.230/.280/.356	.126	.251	17	2	17%	6%	74	-0.0
✕Mason McCoy 2022 · AAA	27	44→50	41→45	53→55	39	.213/.257/.310	.097	.297	8	12	30%	6%	53	-1.5	.198/.256/.324	.126	.291	13	21	34%	7%	58	-1.2	.187/.251/.303	.116	.274	12	25	34%	7%	48	-1.5
✕Héctor Gómez 2015 · MLB	27	39→43	43→55	44→50	37	.200/.237/.313	.113	.253	11	7	26%	4%	46	-2.0	.217/.251/.357	.140	.274	12	6	25%	3%	63	-0.8	.210/.236/.367	.157	.262	12	2	25%	2%	58	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)