Willy Adames — OGILVIE

Willy AdamesSS San Francisco Giants

Age 30 R/R 6'0" / 216 lbs MLB BB -3% Svc 7.610 · Ctrl thru 2031 peak 3.2 · 2027

wRC+†vL 75104vR 116

AVG/OBP/SLG.234 / .323 / .426

PA624

HR25

SB8

K%26

BB%11

xwOBA.298

Barrel%11.9%

MLB%100%

Scouting · now → future

HIT

45→45

PWR

60→60

SPD

55→55

EYE

58↘50

trajectory · 10 yrs

3.4peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 7.610 yrs.days

Team Control Through 2031

First FA Year 2032

NTC

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$26M	+3.0	$24M	-$2M
2027	Ext / FA-deal	$26M	+3.2	$26M	+$0.4M
2028	Ext / FA-deal	$26M	+2.7	$23M	-$3M
2029	Ext / FA-deal	$26M	+2.2	$19M	-$7M
2030	Ext / FA-deal	$26M	+1.6	$14M	-$12M
2031	Ext / FA-deal	$26M	+0.9	$4M	-$22M
Totals		$156M		$111M	-$45M

Underwater contract
Projected production over the remaining contract is worth -$45M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2013	17	ROK	DSL Tigers	267	221	42	9	4	1	35	63	6	9	12	.190	.317	.281	.597	.090	.256	24	13	.270	65	-11	-3	+0	+3	+8	-0.3
2014	18	A	Bowling Green Hot Rods	514	470	114	17	13	7	34	162	4	6	6	.243	.299	.379	.678	.136	.353	32	7	.290	80	-12	-1	+0	+6	+15	0.7
2015	19	A+	Charlotte Stone Crabs	456	410	85	21	3	4	40	178	0	10	1	.207	.278	.302	.580	.095	.346	39	9	.256	54	-24	+2	+0	+5	+13	-0.4
2016	20	AA	2 teams	604	539	128	29	6	10	54	169	4	13	6	.237	.312	.369	.681	.132	.323	28	9	.296	85	-10	+0	+0	+6	+17	1.4
2017	21	AAA	Durham Bulls	578	526	124	25	5	8	45	154	3	11	5	.236	.300	.348	.648	.112	.316	27	8	.285	76	-15	+0	+0	+6	+16	0.7
2018	22	MLB	2 teams	601	542	141	14	5	15	49	172	2	9	8	.260	.324	.387	.711	.127	.348	29	8	.306	93	-5	-1	-4	+6	+17	1.3
2019	23	MLB	Tampa Bay Rays	584	531	137	26	1	21	46	153	3	4	2	.258	.321	.429	.750	.171	.324	26	8	.325	107	+4	+0	+10	+6	+17	3.8
2020	24	MLB	Tampa Bay Rays	205	185	52	16	1	9	20	74	0	2	1	.281	.351	.524	.876	.243	.422	36	10	.368	139	+9	+0	-2	+2	+6	1.5
2021	25	MLB	Milwaukee Brewers	555	497	134	34	1	25	57	156	0	5	4	.270	.345	.493	.838	.223	.344	28	10	.357	131	+19	-1	-2	+6	+16	3.9
2022	26	MLB	Milwaukee Brewers	617	563	129	29	0	28	49	166	1	8	3	.229	.292	.430	.722	.201	.271	27	8	.304	91	-7	+0	+11	+7	+17	3.0
2023	27	MLB	Milwaukee Brewers	638	555	115	30	1	23	71	165	6	5	3	.207	.304	.389	.693	.182	.247	26	11	.304	91	-7	-0	+15	+7	+18	3.4
2024	28	MLB	Milwaukee Brewers	688	610	153	34	0	28	74	173	1	21	4	.251	.333	.444	.777	.193	.303	25	11	.333	113	+10	+3	+4	+7	+19	4.4
2025	29	MLB	San Francisco Giants	686	592	134	22	2	30	80	179	5	12	4	.226	.323	.422	.746	.196	.265	26	12	.327	109	+7	+1	+7	+7	+19	4.2
▸ 2026 Season (actual · ROS · total)
2026	30	MLB	San Francisco Giants	107	101	23	10	0	3	5	32	1	0	2	.228	.271	.416	.687	.188	.303	30	5	.299	87	-2	-1	-3	+1	+3	-0.1
ROS	30	MLB	SF	517	458	108	27	1	20	50	138	4	8	4	.236	.316	.430	.747	.194	.286	27	10	.326	108	+5	+0	+5	+6	+15	3.1
TOT	30	MLB	SF	624	559	131	37	1	23	55	170	5	8	6	.234	.309	.428	.736	.193	.293	27	9	.322	104	+3	-1	+3	+7	+18	3.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB	SF	609	541	125	31	1	23	59	126	4	7	4	.231	.311	.420	.731	.189	.257	21	10	.323	105	+4	-0	+4	+7	+17	3.1
2028	32	MLB	SF	590	524	120	30	1	22	57	126	4	4	3	.229	.309	.416	.725	.187	.255	21	10	.318	101	+1	-0	+3	+6	+17	2.7
2029	33	MLB	SF	560	498	111	27	1	20	54	123	3	2	2	.223	.303	.402	.704	.179	.253	22	10	.312	97	-2	-0	+2	+6	+16	2.2
2030	34	MLB	SF	512	455	99	24	1	17	49	117	3	0	1	.218	.298	.387	.685	.169	.251	23	10	.305	91	-5	-0	+0	+5	+15	1.5
2031	35	MLB	SF	455	406	86	21	1	15	43	108	3	0	1	.212	.292	.379	.671	.167	.248	24	9	.296	85	-8	-0	-1	+5	+13	0.9
2032	36	MLB	SF	394	352	71	17	0	12	37	98	2	0	0	.202	.281	.352	.634	.151	.244	25	9	.287	77	-10	+0	-2	+4	+11	0.3
2033	37	MLB	SF	328	293	57	14	0	9	30	85	2	0	0	.195	.274	.334	.608	.140	.239	26	9	.276	69	-11	+0	-4	+4	+9	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			10958	9768	2265	497	48	347	1033	2885	60	136	74	.232	.309	.399	.708	.167	.290	26	9	.309	95	-67	-2	+46	+117	+310	41.3
/ 162G	—			650	579	134	29	3	21	61	171	4	8	4	.231	.309	.401	.710	.169	.289	26	9	.309	95	-4	+0	+3	+7	+18	2.5

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
2013	17	ROK	DSL Tigers	267	200	49	12	5	1	56	44	6	9	12	.245	.424	.370	.794	.125	.304	16	21	.364	136	+11	-3	—	—	+8	1.6
2014	18	A	Bowling Green Hot Rods	514	450	122	19	14	8	54	126	4	6	6	.271	.354	.429	.783	.158	.358	25	11	.345	123	+13	-1	—	—	+15	2.7
2015	19	A+	Charlotte Stone Crabs	456	396	102	24	6	4	54	123	0	10	1	.258	.347	.379	.725	.121	.356	27	12	.325	107	+3	+2	—	—	+13	1.8
2016	20	AA	Montgomery Biscuits	568	486	133	31	6	11	74	121	4	13	6	.274	.374	.430	.804	.156	.342	21	13	.359	133	+21	+0	—	—	+16	3.8
2016	20	INTL	Tigres del Licey	36	30	5	0	0	0	3	9	0	0	0	.167	.242	.167	.409	.000	.217	25	8	.184	-1	-4	+0	—	—	+1	-0.3
2017	21	AAA	Durham Bulls	578	506	140	30	5	10	65	132	3	11	5	.277	.362	.415	.777	.138	.354	23	11	.348	124	+16	+0	—	—	+16	3.3
2018	22	MLB	Tampa Bay Rays	323	288	80	7	0	10	31	95	1	6	5	.278	.350	.406	.756	.128	.378	29	10	.338	117	+6	-1	-4	+6	+9	1.7
2018	22	AAA	Durham Bulls	278	245	70	9	5	4	27	66	1	3	3	.286	.359	.412	.771	.127	.367	24	10	.340	119	+6	-1	—	—	+8	1.3
2019	23	MLB	Tampa Bay Rays	584	531	135	25	1	20	46	153	3	4	2	.254	.317	.418	.735	.164	.320	26	8	.326	107	+5	+0	+10	+6	+17	3.8
2020	24	MLB	Tampa Bay Rays	205	185	48	15	1	8	20	74	0	2	1	.259	.332	.481	.813	.222	.388	36	10	.357	131	+7	+0	-2	+2	+6	1.4
2021	25	MLB	Milwaukee Brewers	555	497	130	32	1	25	57	156	0	5	4	.262	.338	.481	.818	.219	.331	28	10	.360	133	+21	-1	-2	+6	+16	4.0
2022	26	MLB	Milwaukee Brewers	617	563	134	31	0	31	49	166	1	8	3	.238	.300	.458	.758	.220	.278	27	8	.331	112	+8	+0	+11	+7	+17	4.5
2023	27	MLB	Milwaukee Brewers	638	553	120	29	2	24	71	165	6	5	3	.217	.312	.407	.719	.190	.259	26	11	.318	102	+1	-0	+15	+7	+18	4.2
2024	28	MLB	Milwaukee Brewers	688	610	153	33	0	32	74	173	1	21	4	.251	.333	.462	.795	.211	.297	25	11	.350	126	+20	+3	+4	+7	+19	5.5
2025	29	MLB	San Francisco Giants	686	591	133	22	2	30	80	179	5	12	4	.225	.322	.421	.743	.196	.263	26	12	.328	109	+7	+1	+7	+7	+19	4.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			4296	3818	933	194	7	180	428	1161	17	63	26	.244	.323	.440	.763	.196	.301	27	10	.337	116	+76	+2	+39	+49	+122	29.4

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
Willy Adames (OGILVIE)	30	45	60	55	50	.232/.311/.422	.191	.258	24	10	20%	10%	108	+2.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Keith Ginter 2006 · MLB	30	46→51	53→55	49→45	50	.241/.317/.419	.178	.275	21	6	21%	8%	108	+2.3	.221/.301/.355	.134	.256	15	5	19%	8%	85	+0.7	.213/.296/.322	.109	.250	12	4	19%	8%	74	-0.1
✕Tyrone Taylor 2023 · MLB	29	47→52	57→60	50→55	45	.246/.307/.450	.204	.285	24	8	23%	6%	113	+2.6	.236/.289/.412	.176	.283	19	15	23%	5%	95	+1.4	.227/.279/.379	.151	.278	13	21	23%	5%	79	+0.1
✕Chris Young 2014 · MLB	30	43→49	52→60	50→55	54	.223/.307/.401	.178	.261	19	16	23%	10%	100	+1.7	.232/.305/.407	.175	.270	20	11	22%	9%	101	+1.8	.242/.320/.420	.178	.282	20	7	21%	9%	107	+1.1
✕Todd Greene 2001 · MLB	30	46	56→65	49→30	48	.247/.303/.436	.189	.273	26	8	21%	7%	107	+2.2	.239/.278/.422	.183	.266	25	5	21%	4%	93	+1.3	.280/.323/.471	.190	.319	23	0	20%	6%	115	+0.9
✕Ramon Castro 2006 · MLB	30	44	54→55	48→40	51	.231/.307/.413	.181	.275	21	5	24%	10%	103	+1.9	.248/.319/.440	.192	.300	24	4	25%	9%	115	+2.7	.251/.314/.471	.220	.277	32	0	23%	8%	117	+0.8
●Scott Hairston 2010 · MLB	30	48→51	56→60	50	48	.253/.308/.454	.200	.281	23	10	20%	7%	114	+2.7	.243/.304/.432	.189	.274	23	11	21%	7%	107	+2.2	.238/.299/.443	.205	.264	26	10	21%	7%	103	+0.9
●Eli Marrero 2004 · MLB	30	49	52→55	52→50	52	.250/.309/.420	.170	.270	20	14	16%	8%	105	+2.1	.255/.320/.445	.190	.290	22	10	20%	8%	116	+2.8	.250/.322/.460	.210	.285	25	11	22%	9%	118	+0.9
●Todd Frazier 2016 · MLB	30	49→54	57→65	46→50	48	.257/.320/.454	.198	.287	25	12	21%	8%	119	+3.1	.234/.318/.449	.215	.259	29	11	23%	10%	118	+3.0	.218/.319/.430	.212	.239	30	10	23%	11%	109	+2.2
✕David Cook 2011 · AAA	30	44→50	53→60	47→50	48	.228/.301/.402	.174	.282	21	10	27%	9%	98	+1.6	.218/.289/.351	.133	.307	14	9	31%	8%	79	+0.3	.208/.288/.327	.119	.306	10	6	33%	9%	69	-0.3
✕Nick Ahmed 2020 · MLB	30	48→54	52→55	46→55	50	.243/.304/.417	.174	.273	19	8	19%	8%	102	+1.9	.240/.300/.386	.146	.287	14	9	21%	8%	92	+1.2	.227/.284/.336	.109	.286	8	11	22%	7%	68	-0.2
✕Gary Sánchez 2023 · MLB	30	37→47	55→65	48→45	49	.203/.291/.389	.185	.249	24	3	29%	10%	91	+1.1	.220/.303/.412	.192	.266	26	3	27%	9%	102	+1.8	.219/.305/.417	.199	.255	30	1	27%	9%	101	+0.8
●Sean Rodríguez 2015 · MLB	30	44→49	52→60	47→50	44	.230/.292/.403	.173	.276	19	7	24%	6%	94	+1.3	.243/.305/.428	.185	.308	23	6	28%	6%	106	+2.2	.235/.308/.413	.178	.307	23	4	30%	7%	99	+0.7
✕Jedd Gyorko 2019 · MLB	30	49→53	58→60	48→45	53	.261/.334/.462	.201	.292	26	5	21%	10%	127	+3.6	.245/.324/.419	.174	.292	22	7	23%	10%	111	+2.5	.212/.297/.378	.166	.249	26	5	26%	10%	88	+0.2
✕Khalil Greene 2009 · MLB	29	46→54	52→60	50→45	45	.237/.289/.412	.174	.270	20	6	21%	6%	95	+1.4	.230/.286/.389	.159	.258	19	8	19%	6%	88	+0.9	.215/.276/.373	.158	.223	22	5	16%	7%	75	-0.0
●Miguel Ojeda 2005 · MLB	30	48→49	52→50	45	54	.249/.326/.410	.162	.275	21	5	18%	9%	110	+2.4	.227/.299/.357	.130	.266	15	5	20%	9%	85	+0.7	.255/.323/.403	.148	.286	17	7	17%	8%	105	+1.0
✕Chris Widger 2002 · MLB	31	46	55→60	44→40	52	.242/.312/.434	.192	.268	23	6	20%	9%	110	+2.4	.243/.302/.372	.129	.284	11	6	18%	7%	89	+1.0	.215/.276/.317	.102	.253	8	0	18%	7%	61	-0.2
✕Aledmys Díaz 2021 · MLB	30	50→58	54→55	44→45	50	.256/.314/.439	.183	.266	22	6	14%	7%	112	+2.6	.244/.301/.393	.149	.277	17	4	18%	6%	95	+1.4	.236/.290/.365	.129	.271	14	1	18%	5%	79	+0.2
✕Travis Shaw 2020 · MLB	30	43→53	58→60	48→45	57	.233/.331/.434	.201	.267	27	7	24%	12%	118	+3.0	.218/.306/.391	.173	.270	22	4	27%	11%	97	+1.5	.215/.296/.387	.172	.265	22	0	27%	10%	89	+0.4
✕Pedro Feliz 2005 · MLB	30	50→54	57→60	46→45	44	.263/.296/.465	.203	.281	25	6	18%	5%	112	+2.6	.252/.293/.436	.184	.272	21	3	16%	6%	102	+1.9	.246/.288/.419	.172	.263	20	1	15%	5%	92	+1.2
✕Jackie Bradley Jr. 2020 · MLB	30	44→54	52→55	50	50	.228/.312/.401	.174	.280	20	12	26%	9%	102	+1.9	.219/.296/.365	.146	.280	15	10	26%	8%	85	+0.7	.206/.274/.323	.117	.265	10	8	25%	7%	62	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)