Guillermo Williamson

Guillermo WilliamsonLF Eugene Emeralds

Age 22 L/L 6'1" / 200 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 0.5 · 2030

wRC+†76

AVG/OBP/SLG.199 / .282 / .343

PA135

HR4

K%35

BB%9

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

47↗52

SPD

43↗48

EYE

54↗59

trajectory · 10 yrs

0.5peak

2030

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.5	$2M	+$1M
2031	Arb-3	$0.9M	+0.5	$2M	+$1M
2032	Ext / FA-deal	$0.9M	+0.5	$2M	+$1M
2033	Ext / FA-deal	$0.6M	+0.3	$1M	+$0.9M
2034	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$8M	+$4M

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
2022	18	ROK	DSL Giants Black	224	199	29	9	0	4	19	92	3	2	1	.146	.231	.251	.482	.106	.236	41	8	.222	28	-18	+0	+0	-2	+6	-1.5
2023	19	ROK	ACL Giants Black	229	200	34	9	0	6	24	96	4	1	0	.170	.272	.305	.577	.135	.283	42	10	.260	57	-11	+0	+0	-2	+6	-0.7
2024	20	A	San Jose Giants	325	291	52	8	0	10	28	145	5	1	1	.179	.262	.309	.572	.131	.307	45	9	.252	51	-18	-0	+0	-3	+9	-1.3
2025	21	A+	2 teams	158	135	23	2	0	4	20	55	1	0	1	.170	.282	.274	.556	.104	.247	35	13	.255	53	-8	-0	+0	-2	+4	-0.6
▸ 2026 Season
2026	22	MLB	SF	135	120	23	4	0	4	13	47	1	2	1	.192	.276	.325	.601	.133	.287	35	10	.284	76	-4	+0	+0	-1	+4	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	SF	198	175	37	7	1	6	19	66	2	3	1	.211	.296	.366	.662	.154	.288	33	10	.295	84	-4	+0	+0	-2	+6	0.0
2028	24	MLB 26%	SF	306	270	57	10	1	10	30	99	3	5	1	.211	.297	.367	.664	.156	.289	32	10	.301	89	-4	+1	+0	-3	+9	0.2
2029	25	MLB 44%	SF	372	328	71	13	1	13	37	117	4	6	2	.216	.304	.381	.685	.165	.290	31	10	.305	92	-3	+0	+0	-4	+11	0.4
2030	26	MLB 59%	SF	415	366	79	14	2	14	42	130	4	7	2	.216	.303	.380	.683	.164	.291	31	10	.307	93	-3	+1	+0	-4	+12	0.5
2031	27	MLB 76%	SF	435	383	84	15	2	15	45	137	4	7	2	.219	.308	.386	.694	.167	.291	31	10	.308	94	-3	+1	+0	-5	+12	0.5
2032	28	MLB 84%	SF	444	391	84	15	2	15	46	140	4	7	1	.215	.304	.379	.682	.164	.291	32	10	.306	93	-4	+1	-1	-5	+13	0.5
2033	29	MLB 90%	SF	442	389	84	15	2	15	46	141	4	7	1	.216	.305	.380	.686	.165	.290	32	10	.304	91	-4	+1	-1	-5	+13	0.3
2034	30	MLB	SF	437	384	81	15	1	14	46	141	4	6	1	.211	.302	.365	.666	.154	.288	32	11	.301	89	-6	+1	-2	-5	+12	0.1
2035	31	MLB	SF	426	375	78	14	1	14	44	139	4	5	0	.208	.298	.363	.661	.155	.286	33	10	.297	86	-7	+1	-3	-5	+12	-0.1
2036	32	MLB	SF	410	360	74	13	1	13	43	136	4	4	0	.206	.297	.356	.653	.150	.285	33	10	.293	82	-8	+1	-4	-4	+12	-0.4
2037	33	MLB	SF	381	336	67	12	1	11	39	129	3	4	0	.199	.288	.339	.628	.140	.283	34	10	.287	78	-9	+1	-4	-4	+11	-0.6
2038	34	MLB	SF	337	296	58	10	1	9	35	117	3	3	0	.196	.287	.328	.615	.132	.281	35	10	.281	73	-10	+1	-5	-4	+10	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			5674	4998	1015	185	16	177	576	1927	57	70	15	.203	.293	.353	.645	.150	.287	34	10	.290	80	-125	+8	-20	-61	+161	-3.8
/ 162G	—			650	573	116	21	2	20	66	221	7	8	2	.202	.293	.351	.643	.148	.287	34	10	.290	80	-14	+1	-2	-7	+18	-0.4

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	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2022	18	ROK	DSL Giants Black	224	188	44	15	7	30	64	3	2	1	.234	.348	.426	.774	.191	.308	29	13	.343	121	+5	+0	—	—	+6	1.2
2023	19	ROK	ACL Giants Black	229	186	53	15	9	38	67	4	1	0	.285	.417	.511	.927	.226	.396	29	17	.409	171	+18	+0	—	—	+6	2.6
2024	20	A	San Jose Giants	325	282	67	12	12	37	100	5	1	1	.238	.336	.408	.744	.170	.322	31	11	.335	114	+5	-0	—	—	+9	1.5
2025	21	A+	Eugene Emeralds	97	78	17	2	3	18	26	0	0	0	.218	.365	.359	.724	.141	.280	27	19	.332	112	+1	+0	—	—	+3	0.4
2025	21	INTL	Yaquis de Obregon	61	51	10	3	0	8	18	1	0	1	.196	.317	.255	.572	.059	.303	30	13	.271	65	-2	-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
Guillermo Williamson (OGILVIE)	22	20→25	47→52	43→48	59	.199/.282/.343	.144	.287	4	2	35%	9%	76	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Will Benson 2019 · A	21	30→40	47→55	47→55	44	.163/.256/.291	.128	.251	16	9	40%	10%	51	-1.7	.179/.262/.333	.154	.273	19	14	39%	10%	64	-0.8	.221/.322/.401	.180	.313	18	26	32%	12%	102	+1.4
✕Alexander Canario 2022 · A	22	37→34	51→60	50	37	.200/.246/.359	.159	.282	20	14	36%	6%	63	-0.8	.212/.272/.410	.198	.294	26	14	36%	7%	88	+0.9	.209/.277/.424	.216	.279	30	13	36%	8%	90	+0.6
✕Nicky Delmonico 2014 · A	22	39→47	49→55	48→45	46	.202/.276/.345	.143	.261	17	8	29%	8%	72	-0.2	.215/.272/.359	.144	.291	15	6	30%	7%	74	-0.1	.233/.301/.393	.161	.284	18	4	24%	8%	92	+0.9
✕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
✕Abimelec Ortiz 2023 · A	21	36→39	50→60	43→40	41	.192/.265/.337	.145	.271	19	7	35%	8%	66	-0.6	.210/.271/.394	.184	.280	25	4	34%	7%	83	+0.6	.207/.272/.399	.191	.261	26	2	31%	7%	82	+0.4
✕George Valera 2023 · AAA	22	42→40	53→55	44→45	48	.217/.302/.388	.171	.294	21	6	32%	10%	95	+1.4	.213/.290/.367	.154	.295	19	6	32%	9%	84	+0.6	.206/.283/.354	.148	.282	18	4	32%	9%	75	+0.0
✕Isan Díaz 2018 · A	22	40	47→55	45	43	.203/.272/.335	.133	.289	14	8	34%	8%	68	-0.5	.205/.274/.346	.141	.290	16	8	33%	8%	72	-0.2	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Dillon Paulson 2019 · A	22	41→36	47→50	50→30	48	.208/.282/.351	.143	.269	14	4	27%	9%	76	+0.1	.205/.286/.339	.134	.294	13	4	32%	10%	75	-0.0	.196/.281/.324	.129	.273	13	2	31%	10%	66	-0.4
✕Daniel Palka 2015 · A	23	41→43	50→60	47→50	43	.211/.272/.363	.152	.278	18	6	30%	7%	75	-0.0	.212/.264/.386	.174	.301	22	10	36%	6%	78	+0.2	.212/.281/.401	.189	.265	26	4	30%	8%	87	+0.7
✕Alex Glenn 2013 · A	22	41→42	47→55	53→50	39	.202/.268/.341	.140	.307	15	9	37%	7%	68	-0.5	.214/.271/.363	.149	.283	15	11	29%	6%	74	-0.1	.212/.263/.369	.158	.269	16	12	27%	6%	70	-0.3
●Bo Naylor 2022 · AA	22	34→43	46→55	53→50	39	.181/.240/.306	.126	.262	14	10	36%	7%	46	-2.0	.213/.300/.385	.172	.281	20	13	30%	10%	93	+1.3	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Bobby Bradley 2018 · AA	22	39→41	53→65	45→40	39	.206/.268/.375	.169	.294	22	3	37%	7%	77	+0.1	.212/.269/.415	.203	.290	27	3	36%	7%	89	+0.9	.200/.264/.425	.225	.262	32	0	37%	7%	86	+0.6
✕Alexander Ovalles 2023 · AA	22	43→40	46→50	46→50	44	.216/.279/.347	.131	.276	14	8	27%	7%	74	-0.1	.210/.275/.321	.111	.305	11	11	32%	8%	66	-0.6	.163/.242/.212	.049	.284	4	15	40%	9%	20	-0.8
✕Rock Shoulders 2014 · A	22	40→36	48→50	46→30	41	.203/.266/.343	.141	.299	16	3	36%	8%	68	-0.5	.184/.254/.309	.125	.300	14	3	40%	8%	54	-1.4	.146/.224/.257	.111	.242	13	1	43%	8%	26	-1.5
✕Niko Hulsizer 2019 · A	22	44→30	47→60	51→50	42	.211/.300/.348	.138	.322	15	12	36%	8%	84	+0.6	.206/.285/.382	.176	.328	21	9	41%	8%	86	+0.8	.193/.269/.393	.200	.316	27	12	45%	8%	80	+0.2
✕Mason Martin 2021 · A	22	35→32	53→60	46→45	38	.186/.257/.358	.172	.294	21	5	42%	8%	69	-0.4	.187/.248/.360	.173	.302	21	6	43%	6%	65	-0.7	.168/.236/.334	.166	.270	21	7	44%	7%	52	-1.3
✕Travis Blankenhorn 2019 · A	22	40→43	45→55	51→50	38	.201/.261/.328	.127	.288	11	7	33%	6%	61	-1.0	.215/.262/.357	.142	.295	16	9	32%	5%	69	-0.4	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3
●Nolan Gorman 2022 · AAA	22	41→43	50→60	49→45	38	.217/.263/.368	.151	.290	19	6	32%	5%	72	-0.2	.225/.287/.421	.196	.300	28	7	34%	8%	97	+1.5	.213/.287/.426	.213	.280	31	7	35%	9%	95	+1.2
✕Collin Ferguson 2017 · A	24	38→27	48→55	47→45	41	.198/.267/.339	.141	.277	17	8	34%	7%	67	-0.5	.215/.274/.342	.127	.307	13	9	33%	7%	70	-0.3	.244/.296/.379	.135	.335	12	9	29%	6%	87	+0.3
✕Christin Stewart 2017 · AA	23	41→45	52→55	46→45	48	.212/.303/.381	.169	.284	20	5	32%	10%	94	+1.3	.217/.292/.385	.168	.281	20	3	29%	8%	89	+1.0	.222/.297/.399	.177	.273	22	1	27%	8%	93	+1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)