Starlin Aguilar — OGILVIE

Starlin Aguilar2B Inland Empire 66ers

Age 22 L/R 5'11" / 170 lbs A HR +3% Svc 0.0 · Ctrl thru 2036 peak 0.3 · 2030

wRC+†50

AVG/OBP/SLG.192 / .258 / .297

PA140

HR2

K%33

BB%7

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

32↗37

SPD

45↗50

EYE

39↗44

trajectory · 10 yrs

0.3peak

2030

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	Arb-3	$0.9M	+0.3	$1M	+$0.5M
2032	Ext / FA-deal	$0.9M	+0.2	$1.0M	+$0.0M
2033	Ext / FA-deal	$1.0M	—	—	—
2034	Ext / FA-deal	$0.2M	—	—	—
2035	Ext / FA-deal	$0.4M	—	—	—
2036	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$-4M	-$8M

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
2021	17	ROK	DSL Mariners	220	195	35	7	1	2	17	59	5	0	2	.179	.263	.256	.519	.077	.241	27	8	.226	31	-17	-1	+0	+1	+6	-1.1
2022	18	ROK	ACL Mariners	185	178	36	3	1	0	5	62	0	0	1	.202	.224	.230	.454	.028	.305	34	3	.202	13	-18	-0	+0	+1	+5	-1.3
2023	19	ROK	ACL Mariners	70	62	14	3	1	1	5	25	2	0	0	.226	.304	.355	.659	.129	.351	36	7	.270	65	-3	+0	+0	+0	+2	-0.1
2024	20	ROK	ACL Mariners	168	155	27	5	1	1	9	49	3	5	0	.174	.234	.239	.472	.065	.245	29	5	.214	22	-15	+1	+0	+1	+5	-0.9
2025	21	A	Modesto Nuts	148	138	18	5	0	1	7	70	2	0	0	.130	.184	.188	.372	.058	.250	47	5	.162	-18	-20	+0	+0	+1	+4	-1.5
▸ 2026 Season (actual · ROS · total)
2026	22	A	Inland Empire 66ers	24	23	6	1	0	0	1	8	0	0	0	.261	.292	.304	.596	.043	.400	33	4	.238	40	-2	+0	+0	+0	+1	-0.1
ROS	22	MLB	SEA	116	106	21	4	1	2	8	39	1	2	0	.198	.261	.311	.572	.113	.281	34	7	.254	52	-6	+0	+0	+0	+3	-0.2
TOT	22	MLB	SEA	140	129	27	5	1	2	9	47	1	2	0	.209	.266	.310	.576	.101	.309	34	6	.251	50	-8	+0	+0	+0	+4	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	SEA	218	197	40	8	1	4	17	70	2	4	1	.203	.273	.315	.588	.112	.283	32	8	.267	63	-9	+0	+0	+1	+6	-0.2
2028	24	MLB 26%	SEA	320	288	60	11	2	7	25	99	4	6	1	.208	.281	.333	.614	.125	.284	31	8	.275	69	-11	+1	+0	+1	+9	-0.0
2029	25	MLB 43%	SEA	381	343	72	14	2	9	31	116	4	7	1	.210	.283	.341	.624	.131	.285	30	8	.281	73	-12	+1	+0	+1	+11	0.2
2030	26	MLB 58%	SEA	420	377	79	15	2	10	35	127	5	8	2	.210	.285	.340	.625	.130	.286	30	8	.284	75	-12	+1	+0	+1	+12	0.3
2031	27	MLB 76%	SEA	437	392	82	16	2	10	37	132	5	8	2	.209	.286	.337	.622	.128	.286	30	8	.284	75	-12	+1	+0	+2	+12	0.3
2032	28	MLB 84%	SEA	444	398	84	16	2	11	38	135	5	8	1	.211	.288	.344	.632	.133	.285	30	9	.283	75	-13	+1	-1	+2	+13	0.2
2033	29	MLB 90%	SEA	441	395	82	16	2	10	38	135	5	7	1	.208	.285	.334	.620	.127	.284	31	9	.281	73	-13	+1	-1	+2	+12	0.0
2034	30	MLB	SEA	436	390	80	15	2	10	38	135	5	7	1	.205	.284	.331	.615	.126	.283	31	9	.278	71	-14	+1	-2	+2	+12	-0.2
2035	31	MLB	SEA	425	380	77	15	2	9	37	134	5	6	0	.203	.282	.324	.606	.121	.281	32	9	.274	68	-16	+1	-3	+2	+12	-0.4
2036	32	MLB	SEA	408	366	74	14	2	9	35	130	4	5	0	.202	.279	.325	.604	.123	.280	32	9	.269	64	-17	+1	-4	+1	+12	-0.6
2037	33	MLB	SEA	380	341	66	12	2	7	32	124	4	4	0	.194	.271	.302	.573	.109	.278	33	8	.264	60	-17	+1	-4	+1	+11	-0.9
2038	34	MLB	SEA	336	302	57	11	1	6	28	113	3	4	0	.189	.264	.291	.556	.103	.276	34	8	.257	55	-17	+1	-5	+1	+10	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			5553	5003	1004	190	27	109	442	1754	64	81	13	.201	.274	.315	.589	.114	.282	32	8	.266	62	-241	+11	-20	+20	+157	-7.4
/ 162G	—			650	586	117	22	3	13	52	205	7	9	2	.200	.273	.314	.587	.114	.280	32	8	.266	62	-28	+1	-2	+2	+18	-0.9

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	220	183	45	13	1	2	29	41	5	0	2	.246	.364	.361	.725	.115	.301	19	13	.330	111	+3	-1	—	—	+6	0.8
2022	18	ROK	ACL Mariners	185	175	51	6	1	0	8	42	0	0	1	.291	.322	.337	.660	.046	.378	23	4	.296	85	-3	-0	—	—	+5	0.2
2023	19	ROK	ACL Mariners	70	60	18	5	1	1	7	17	2	0	0	.300	.391	.467	.858	.167	.395	24	10	.377	147	+4	+0	—	—	+2	0.6
2024	20	ROK	ACL Mariners	168	150	36	8	2	1	14	33	3	5	0	.240	.317	.340	.657	.100	.299	20	8	.299	87	-3	+1	—	—	+5	0.3
2025	21	A	Modesto Nuts	148	136	23	7	0	1	9	55	2	0	0	.169	.231	.243	.474	.074	.272	37	6	.219	26	-12	+0	—	—	+4	-0.8

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
Starlin Aguilar (OGILVIE)	22	20→25	32→37	45→50	44	.192/.258/.297	.105	.281	2	2	33%	7%	52	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cole Roederer 2022 · A	22	40→33	41→45	50	44	.196/.269/.293	.097	.285	8	12	32%	8%	56	-1.3	.202/.266/.324	.122	.299	13	11	35%	7%	63	-0.9	.179/.252/.298	.118	.265	14	11	36%	8%	49	-1.0
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	.199/.274/.271	.072	.273	5	6	27%	9%	52	-1.6	.192/.285/.299	.107	.271	9	9	30%	11%	65	-0.7	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕Andry Arias 2022 · A	22	38	42→40	46→40	39	.187/.254/.288	.101	.287	10	7	36%	7%	48	-1.9	.193/.256/.289	.096	.301	8	5	36%	7%	49	-1.8	.160/.230/.252	.091	.253	7	3	37%	7%	25	-1.2
✕Raynel Delgado 2022 · A	22	38→48	40→45	47→60	36	.188/.241/.276	.088	.286	8	13	36%	6%	39	-2.5	.212/.279/.309	.097	.297	8	17	29%	7%	63	-0.8	.240/.303/.338	.098	.325	8	32	27%	7%	77	+0.1
✕Livan Soto 2022 · AA	22	37→47	39→40	49→50	43	.183/.239/.268	.085	.247	7	10	28%	7%	36	-2.7	.222/.288/.312	.090	.301	7	10	27%	8%	68	-0.5	.234/.306/.318	.084	.309	7	8	25%	9%	75	-0.0
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	.179/.244/.278	.099	.260	9	4	33%	8%	41	-2.3	.208/.262/.308	.100	.277	8	3	27%	6%	56	-1.3	.224/.284/.351	.127	.286	14	0	26%	7%	75	-0.0
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Gage Canning 2019 · A	22	42→36	45→40	50	37	.208/.258/.335	.128	.307	13	8	36%	6%	62	-0.9	.194/.243/.284	.090	.315	7	9	38%	5%	41	-2.3	.191/.241/.271	.080	.310	6	8	38%	5%	33	-1.9
✕Jacob Wetzel 2022 · A	22	43→34	43→45	49→50	41	.208/.279/.316	.107	.311	12	8	35%	8%	66	-0.6	.193/.270/.302	.109	.277	11	12	32%	8%	59	-1.1	.180/.260/.295	.115	.256	10	14	32%	9%	50	-1.0
✕Brian Pointer 2014 · A	22	37→41	42→45	51→50	39	.184/.253/.293	.109	.274	10	13	35%	6%	50	-1.8	.204/.277/.329	.125	.307	13	12	35%	8%	69	-0.4	.204/.281/.340	.136	.306	15	12	36%	9%	69	-0.3
✕Kier Meredith 2022 · A	22	43	37→30	51→60	45	.202/.271/.271	.070	.286	4	11	29%	8%	50	-1.7	.211/.307/.281	.070	.293	4	26	27%	8%	69	-0.4	.229/.340/.278	.049	.305	3	35	22%	10%	80	+0.1
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Randy Florentino 2022 · A	22	35	40→50	42→45	40	.174/.240/.257	.083	.272	8	5	37%	8%	33	-2.9	.189/.243/.277	.088	.263	9	6	30%	6%	40	-2.4	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Yeicok Calderon 2014 · A	22	35	46→45	45	33	.180/.227/.303	.123	.290	14	5	42%	6%	40	-2.4	.206/.250/.323	.117	.324	12	6	38%	5%	54	-1.4	.210/.245/.331	.121	.324	12	5	38%	4%	52	-0.6
✕Aaron Bracho 2023 · A	22	30→38	42→45	44→40	38	.161/.227/.260	.099	.254	10	4	39%	7%	30	-3.1	.194/.258/.324	.130	.261	16	5	31%	7%	59	-1.1	.192/.255/.327	.134	.243	18	4	29%	7%	56	-0.7
✕Franklin Tineo 2017 · A	22	36	37→45	45→50	45	.177/.245/.250	.073	.241	5	9	27%	7%	34	-2.8	.198/.276/.297	.099	.276	8	10	29%	8%	60	-1.0	.201/.298/.325	.124	.262	10	12	25%	10%	74	-0.0
✕Jason Denham 2008 · A	22	42→43	38→40	51→55	43	.203/.259/.275	.072	.276	6	16	28%	7%	46	-2.0	.221/.279/.314	.093	.282	9	18	24%	7%	65	-0.7	.227/.292/.316	.089	.272	11	27	20%	8%	69	-0.2
✕Pratt Maynard 2012 · A	22	44	40→45	48→45	42	.208/.273/.295	.087	.307	7	5	33%	7%	57	-1.2	.216/.277/.304	.088	.274	7	6	22%	8%	61	-1.0	.219/.282/.315	.096	.271	7	4	21%	8%	64	-0.4
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	36	.175/.228/.252	.077	.268	5	7	35%	5%	27	-3.3	.186/.270/.336	.150	.264	19	6	36%	9%	69	-0.4	.166/.253/.309	.143	.233	20	4	37%	9%	52	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)