Williams Wong — OGILVIE

Williams WongSS ACL Rangers

Age 20 L/R 5'10" / 180 lbs ROK K +3% Svc 0.0 · Ctrl thru 2037 peak 2.6 · 2033

wRC+†74

AVG/OBP/SLG.213 / .292 / .324

PA101

HR2

K%27

BB%9

MLB%0%

Scouting · now → future

HIT

37↗42

PWR

31↗36

SPD

45↗50

EYE

57↗62

trajectory · 10 yrs

2.6peak

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	+2.5	$24M	+$23M
2033	Ext / FA-deal	$1.0M	+2.6	$26M	+$25M
2034	Ext / FA-deal	$1.0M	+2.4	$24M	+$23M
2035	Ext / FA-deal	$5M	+2.3	$24M	+$19M
2036	Ext / FA-deal	$7M	+2.0	$22M	+$15M
2037	Ext / FA-deal	$9M	+1.7	$19M	+$10M
Totals		$23M		$138M	+$115M

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
2023	17	ROK	DSL Rangers Blue	161	136	26	6	1	0	19	50	2	6	3	.191	.299	.250	.549	.059	.292	31	12	.250	50	-9	+0	+0	+2	+5	-0.3
2024	18	ROK	DSL Rangers Red	190	159	22	6	0	1	23	41	3	2	2	.138	.259	.195	.454	.057	.175	22	12	.211	20	-17	-0	+0	+2	+5	-1.0
2025	19	ROK	ACL Rangers	120	109	15	1	0	1	9	48	0	2	1	.138	.203	.174	.378	.037	.233	40	8	.181	-3	-14	+0	+0	+1	+3	-1.0
▸ 2026 Season
2026	20	MLB	TEX	101	90	20	4	1	2	9	28	1	2	0	.222	.300	.356	.656	.133	.286	28	9	.282	74	-3	+0	+0	+1	+3	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	TEX	187	165	37	7	1	4	18	49	2	4	1	.224	.308	.352	.660	.127	.288	26	10	.298	86	-3	+0	+0	+2	+5	0.5
2028	22	MLB 28%	TEX	316	278	64	12	2	8	32	79	3	6	2	.230	.316	.374	.690	.144	.289	25	10	.308	94	-2	+0	+0	+3	+9	1.1
2029	23	MLB 48%	TEX	405	356	83	16	2	11	42	99	4	8	2	.233	.321	.382	.703	.149	.289	24	10	.315	99	-1	+1	+0	+4	+11	1.6
2030	24	MLB 62%	TEX	464	407	95	18	2	13	49	112	5	9	2	.233	.323	.383	.707	.150	.290	24	11	.319	102	+1	+1	+0	+5	+13	2.1
2031	25	MLB 80%	TEX	498	436	103	19	3	14	54	120	5	10	2	.236	.327	.390	.717	.154	.290	24	11	.322	105	+3	+1	+0	+5	+14	2.4
2032	26	MLB 94%	TEX	517	449	107	20	3	15	57	124	6	10	2	.238	.332	.396	.728	.158	.291	24	11	.324	106	+3	+1	+0	+6	+15	2.5
2033	27	MLB	TEX	525	456	108	20	3	15	58	126	6	10	2	.237	.331	.393	.723	.156	.291	24	11	.324	106	+4	+1	+0	+6	+15	2.6
2034	28	MLB	TEX	525	455	108	20	3	15	59	128	6	9	2	.237	.333	.393	.726	.156	.290	24	11	.323	105	+3	+1	-1	+6	+15	2.4
2035	29	MLB	TEX	519	450	105	20	2	15	58	127	6	9	1	.233	.329	.387	.715	.153	.289	24	11	.321	104	+2	+1	-1	+6	+15	2.3
2036	30	MLB	TEX	510	443	102	19	2	14	57	127	5	8	1	.230	.325	.377	.702	.147	.288	25	11	.317	101	+1	+1	-2	+5	+14	2.0
2037	31	MLB	TEX	497	433	98	18	2	13	56	126	5	7	0	.226	.322	.367	.689	.141	.287	25	11	.314	98	-1	+1	-3	+5	+14	1.7
2038	32	MLB	TEX	480	418	93	17	2	12	54	124	5	7	0	.222	.319	.359	.678	.136	.285	26	11	.309	95	-3	+1	-4	+5	+14	1.4
2039	33	MLB	TEX	451	394	86	16	2	11	50	120	4	6	0	.218	.312	.353	.665	.135	.283	27	11	.303	90	-5	+1	-4	+5	+13	1.0
2040	34	MLB	TEX	405	353	76	14	2	9	45	111	4	6	0	.215	.311	.343	.654	.127	.282	27	11	.297	85	-7	+1	-5	+4	+11	0.6
2041	35	MLB	TEX	351	306	63	11	1	8	39	100	3	5	0	.206	.302	.327	.629	.121	.279	28	11	.289	80	-8	+1	-6	+4	+10	0.1
2042	36	MLB	TEX	292	255	51	9	1	6	32	86	3	4	0	.200	.297	.314	.610	.114	.276	29	11	.280	73	-9	+1	-6	+3	+8	-0.3
2043	37	MLB	TEX	229	201	39	7	1	4	24	70	2	4	0	.194	.286	.299	.585	.104	.272	31	10	.271	65	-9	+1	-7	+2	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			7743	6749	1501	280	36	191	844	1995	80	134	23	.222	.316	.359	.676	.137	.284	26	11	.305	92	-74	+18	-38	+83	+219	21.2
/ 162G	—			650	567	126	24	3	16	71	167	7	11	2	.222	.317	.360	.677	.138	.284	26	11	.305	92	-6	+1	-3	+7	+18	1.8

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
2023	17	ROK	DSL Rangers Blue	161	123	35	7	1	0	32	33	2	6	3	.285	.439	.358	.797	.073	.376	20	20	.365	138	+7	+0	—	—	+5	1.2
2024	18	ROK	DSL Rangers Red	190	147	29	9	0	1	35	27	3	2	2	.197	.362	.279	.641	.082	.230	14	18	.302	90	-2	-0	—	—	+5	0.3
2025	19	ROK	ACL Rangers	120	103	22	2	0	2	15	33	0	2	1	.214	.314	.291	.605	.078	.294	28	12	.279	72	-4	+0	—	—	+3	-0.0

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
Williams Wong (OGILVIE)	20	37→42	31→36	45→50	62	.213/.292/.324	.112	.286	2	2	27%	9%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Canaan Smith-Njigba 2019 · A	20	45→47	41→45	46→55	51	.216/.301/.314	.097	.294	9	7	28%	10%	74	-0.1	.227/.294/.343	.116	.313	11	10	29%	8%	79	+0.3	.228/.299/.352	.124	.336	11	21	33%	9%	80	+0.2
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	.211/.278/.287	.076	.265	3	4	21%	8%	57	-1.2	.229/.290/.332	.103	.270	9	4	18%	7%	74	-0.1	.264/.310/.326	.062	.295	2	0	11%	6%	75	+0.0
✕Hoy Park 2016 · A	20	41→50	41→45	47→55	46	.198/.271/.297	.099	.267	8	10	28%	8%	57	-1.2	.198/.270/.283	.085	.271	5	16	27%	8%	53	-1.5	.229/.318/.327	.099	.300	9	17	24%	11%	81	+0.3
✕Carter Jensen 2023 · A	20	38→47	43→50	46→50	46	.188/.269/.299	.110	.273	10	7	33%	10%	58	-1.2	.198/.288/.331	.133	.275	13	9	30%	11%	74	-0.1	.206/.294/.357	.151	.275	17	10	30%	11%	81	+0.4
✕Richi Sanchez 2015 · A	21	49	38→45	49→50	54	.230/.313/.315	.085	.291	5	8	21%	10%	79	+0.3	.213/.274/.290	.077	.279	3	7	23%	7%	56	-1.3	.202/.252/.280	.079	.255	0	6	20%	6%	40	-0.6
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Cole Young 2023 · A	20	50→49	45	49→50	47	.245/.300/.368	.123	.296	13	11	22%	7%	87	+0.8	.232/.316/.354	.122	.279	10	13	20%	9%	91	+1.1	.227/.316/.346	.119	.270	10	12	19%	10%	86	+0.7
✕Juan Brito 2022 · A	20	45→48	42→50	49→45	46	.222/.285/.324	.103	.281	10	12	24%	7%	70	-0.3	.230/.313/.368	.138	.279	13	9	21%	10%	94	+1.3	.226/.311/.371	.145	.266	15	9	20%	10%	91	+1.0
✕Iverson Leonardo 2022 · A	20	42	44→50	47→50	42	.203/.279/.327	.124	.304	10	9	34%	8%	69	-0.4	.188/.266/.293	.105	.307	9	8	39%	8%	55	-1.4	.155/.246/.249	.095	.261	8	8	40%	9%	34	-0.7
●Bo Naylor 2019 · A	19	44→43	39→55	52→50	46	.211/.278/.300	.089	.298	6	9	30%	8%	60	-1.0	.194/.251/.313	.119	.273	11	7	31%	7%	53	-1.5	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Shawn Zarraga 2009 · A	20	48	40	50→45	49	.226/.306/.321	.095	.306	6	7	26%	9%	79	+0.3	.222/.295/.296	.074	.304	5	6	26%	8%	67	-0.5	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Angel Ortiz 2022 · A	19	42→40	41→50	46→40	44	.207/.262/.297	.091	.272	9	9	27%	7%	53	-1.5	.205/.256/.301	.096	.278	8	7	27%	6%	51	-1.7	.210/.263/.325	.115	.276	10	3	27%	6%	59	-0.6
✕Oswaldo Linares 2023 · A	20	42	41→40	48→40	52	.203/.300/.294	.091	.264	9	7	25%	10%	70	-0.3	.191/.289/.274	.083	.279	7	4	31%	11%	60	-1.0	.164/.268/.232	.068	.248	6	2	32%	11%	39	-0.9
✕Anthony Seigler 2019 · A	20	45→39	38→45	48→55	49	.214/.283/.295	.081	.271	6	5	22%	8%	62	-0.9	.194/.271/.270	.076	.279	5	5	29%	9%	50	-1.7	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
●TJ Friedl 2017 · A	21	48→53	42→50	51→55	42	.228/.286/.337	.109	.309	8	10	28%	6%	73	-0.1	.226/.293/.326	.100	.295	6	15	24%	7%	74	-0.1	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
✕Freizer Pedron 2007 · A	20	44	37→40	48→55	42	.208/.263/.284	.076	.278	4	12	26%	6%	50	-1.8	.229/.294/.302	.073	.305	3	16	24%	7%	68	-0.5	.262/.328/.337	.075	.341	2	29	22%	6%	87	+0.3
●Josh Thole 2007 · A	20	43→53	37→45	45	45	.206/.270/.275	.069	.268	5	5	24%	7%	51	-1.7	.245/.306/.314	.069	.294	3	4	16%	7%	76	+0.0	.283/.345/.382	.099	.319	5	4	12%	8%	108	+1.7
✕Ronarsy Ledesma 2012 · A	19	42	42→45	47→50	43	.205/.277/.309	.104	.271	9	8	27%	6%	64	-0.8	.224/.284/.326	.102	.290	5	11	24%	5%	70	-0.3	.226/.280/.337	.111	.291	6	11	23%	4%	69	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)