Hao-Yu Lee — OGILVIE

Hao-Yu Lee2B Toledo Mud Hens

Age 23 R/R 5'9" / 190 lbs AAA HR +5%H +3% Svc 0.000 · Ctrl thru 2031 peak 1.7 · 2029

wRC+†77

AVG/OBP/SLG.234 / .301 / .383

PA320

HR8

SB7

K%23

BB%7

MLB%30%

Scouting · now → future

HIT

37↗46

PWR

48↗50

SPD

42↗46

FLD

40↗44

EYE

45↗51

trajectory · 10 yrs

2.0peak

2029

Contract

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

Status Pre-Arb

MLB Debut 2026

Service 0.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	—	—	—
2027	Pre-Arb	$0.8M	+1.3	$11M	+$10M
2028	Pre-Arb	$0.8M	+1.6	$14M	+$13M
2029	Arb-1	$4M	+1.7	$15M	+$11M
2030	Arb-2	$7M	+1.7	$15M	+$9M
2031	Arb-3	$10M	+1.6	$15M	+$5M
Totals		$22M		$69M	+$47M

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	18	ROK	FCL Phillies	25	23	5	1	1	1	2	7	0	0	0	.217	.280	.478	.758	.261	.267	28	8	.343	121	+1	+0	+0	+0	+1	0.1
2022	19	A	2 teams	342	306	71	12	2	7	28	93	7	13	7	.232	.311	.353	.664	.121	.309	27	8	.294	83	-7	-0	+0	+1	+10	0.4
2023	20	A+	2 teams	376	338	79	12	2	7	27	92	8	17	6	.234	.306	.343	.649	.109	.298	24	7	.283	75	-11	+1	+0	+1	+11	0.2
2024	21	AA	Erie SeaWolves	386	354	99	16	5	12	21	87	5	16	1	.280	.329	.455	.784	.175	.333	23	5	.333	113	+6	+3	+0	+1	+11	2.1
2025	22	AAA	Toledo Mud Hens	579	517	115	20	9	13	45	137	12	22	5	.222	.300	.371	.671	.149	.274	24	8	.294	83	-11	+2	+0	+2	+16	1.0
▸ 2026 Season (actual · ROS · total)
2026	23	AAA	2 teams	42	40	7	1	0	1	2	14	0	0	1	.175	.214	.275	.489	.100	.240	33	5	.193	6	-4	-0	-2	+0	+1	-0.5
ROS	23	MLB	DET	278	253	58	10	3	7	19	68	4	7	2	.229	.293	.375	.669	.146	.285	24	7	.299	87	-4	+1	-1	+1	+8	0.4
TOT	23	MLB	DET	320	293	65	11	3	8	21	82	4	7	3	.222	.283	.362	.645	.140	.279	26	7	.286	77	-8	+0	-3	+1	+9	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 47%	DET	582	526	125	22	6	16	43	124	8	16	4	.238	.305	.394	.699	.156	.276	21	7	.307	93	-5	+2	-3	+2	+16	1.3
2028	25	MLB 61%	DET	587	529	126	22	6	17	45	125	8	16	4	.238	.308	.399	.706	.161	.278	21	8	.312	97	-2	+2	-3	+2	+17	1.6
2029	26	MLB 79%	DET	587	528	125	22	5	17	46	125	8	16	4	.237	.308	.394	.701	.157	.279	21	8	.315	99	-1	+2	-3	+2	+17	1.7
2030	27	MLB 93%	DET	582	522	124	22	5	17	47	125	8	15	4	.238	.310	.397	.707	.159	.279	21	8	.315	99	-1	+1	-3	+2	+16	1.7
2031	28	MLB	DET	574	515	122	21	5	17	46	124	8	14	3	.237	.309	.396	.705	.159	.279	22	8	.314	98	-1	+2	-3	+2	+16	1.6
2032	29	MLB	DET	562	503	119	21	5	16	46	123	8	13	3	.237	.311	.394	.704	.157	.278	22	8	.312	97	-2	+1	-4	+2	+16	1.4
2033	30	MLB	DET	550	493	115	20	5	15	45	123	7	12	2	.233	.306	.385	.692	.152	.277	22	8	.309	94	-4	+2	-5	+2	+16	1.1
2034	31	MLB	DET	535	480	110	19	5	14	43	121	7	9	1	.229	.302	.377	.679	.148	.275	23	8	.305	91	-5	+1	-5	+2	+15	0.8
2035	32	MLB	DET	516	462	104	18	4	13	42	120	7	6	1	.225	.299	.366	.665	.141	.274	23	8	.300	88	-7	+1	-6	+2	+15	0.4
2036	33	MLB	DET	486	438	97	17	4	12	39	116	6	4	0	.221	.294	.361	.655	.139	.272	24	8	.294	83	-9	+1	-6	+2	+14	0.1
2037	34	MLB	DET	439	395	85	14	4	10	35	109	6	2	0	.215	.289	.347	.636	.132	.270	25	8	.287	78	-11	+0	-7	+2	+12	-0.4
2038	35	MLB	DET	384	346	72	12	3	8	30	99	5	1	0	.208	.281	.329	.610	.121	.267	26	8	.279	72	-12	+0	-7	+1	+11	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			8370	7528	1751	301	79	219	649	1918	122	199	47	.233	.304	.381	.685	.148	.282	23	8	.304	91	-86	+21	-55	+30	+237	15.0
/ 162G	—			650	585	135	23	6	17	50	149	9	15	4	.231	.301	.378	.679	.147	.279	23	8	.304	91	-7	+1	-4	+2	+18	1.1

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	18	ROK	FCL Phillies	25	22	8	2	2	1	3	5	0	0	0	.364	.440	.773	1.213	.409	.438	20	12	.507	246	+4	+0	—	—	+1	0.5
2022	19	A+	Jersey Shore BlueClaws	40	35	9	3	1	1	5	9	0	3	0	.257	.350	.486	.836	.229	.320	22	12	.366	139	+2	+1	—	—	+1	0.4
2022	19	A	Clearwater Threshers	302	258	73	11	1	7	36	57	7	10	7	.283	.385	.415	.800	.132	.338	19	12	.362	135	+12	-1	—	—	+9	2.0
2023	20	A+	West Michigan Whitecaps	317	275	76	13	2	6	32	62	8	16	5	.276	.368	.404	.772	.127	.335	20	10	.348	125	+9	+1	—	—	+9	1.9
2023	20	INTL	Salt River Rafters	59	49	13	2	0	1	9	12	0	1	1	.265	.379	.367	.747	.102	.324	20	15	.339	117	+1	-0	—	—	+2	0.3
2024	21	AA	Erie SeaWolves	386	342	102	19	5	12	33	69	5	16	1	.298	.368	.488	.857	.190	.337	18	9	.373	143	+19	+3	—	—	+11	3.3
2025	22	AAA	Toledo Mud Hens	579	497	121	23	8	14	65	121	12	22	5	.243	.345	.406	.751	.163	.292	21	11	.336	115	+10	+2	—	—	+16	2.9

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
Hao-Yu Lee (OGILVIE)	23	37→46	48→50	42→46	51	.234/.301/.383	.148	.289	8	10	23%	7%	93	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Connor Norby 2023 · AAA	23	45→49	53→55	49→50	44	.234/.298/.405	.171	.295	21	12	28%	7%	97	+1.5	.242/.300/.407	.165	.317	19	11	29%	7%	98	+1.6	.245/.303/.409	.164	.323	19	11	29%	7%	97	+1.4
✕Henry Davis 2023 · AA	23	46	49→50	52→50	42	.230/.311/.380	.151	.300	16	13	28%	6%	97	+1.5	.224/.309/.378	.154	.287	18	12	27%	8%	95	+1.4	.208/.294/.355	.146	.264	19	11	28%	9%	79	+0.2
✕Miguel Vargas 2023 · MLB	23	48→52	51→55	51→50	48	.244/.304/.405	.161	.281	19	12	21%	7%	99	+1.7	.220/.307/.378	.158	.261	16	11	22%	10%	94	+1.3	.211/.309/.373	.162	.247	16	10	21%	11%	91	+1.0
✕Eguy Rosario 2023 · AAA	23	45→49	48→55	51→55	44	.226/.288/.373	.147	.292	15	21	28%	7%	84	+0.6	.212/.274/.363	.151	.280	17	17	29%	7%	76	+0.1	.189/.253/.336	.147	.253	17	17	32%	7%	57	-0.6
✕Bryan Lavastida 2022 · AAA	23	49→44	45	48→55	46	.241/.306/.370	.129	.314	13	16	26%	8%	91	+1.1	.215/.282/.336	.121	.279	12	16	26%	7%	72	-0.2	.220/.293/.341	.120	.280	13	27	25%	8%	75	+0.0
●Sean Rodríguez 2008 · AA	23	44→49	50→60	47→50	44	.224/.296/.380	.156	.288	18	12	28%	7%	90	+1.0	.234/.304/.421	.187	.295	22	11	28%	7%	104	+2.0	.238/.311/.439	.201	.293	25	12	27%	7%	107	+1.7
✕Lewis Brinson 2017 · AAA	23	46→53	51→55	51→50	39	.236/.280/.398	.161	.306	18	15	29%	5%	87	+0.8	.218/.269/.368	.150	.284	17	13	29%	5%	75	-0.0	.225/.267/.399	.174	.293	23	8	31%	5%	79	+0.1
✕Dilson Herrera 2017 · MLB	23	50→57	48→50	46→50	44	.251/.300/.393	.142	.303	15	13	22%	6%	94	+1.3	.224/.274/.367	.143	.288	17	8	28%	6%	77	+0.1	.206/.262/.360	.155	.270	20	7	31%	6%	68	-0.3
●Javier Herrera 2008 · AAA	23	45→54	48→50	49→50	40	.228/.287/.365	.138	.302	16	15	29%	6%	82	+0.5	.228/.277/.365	.137	.313	15	12	31%	6%	77	+0.1	.241/.298/.383	.142	.334	15	14	31%	7%	86	+0.4
✕Nick Senzel 2018 · AA	23	52→56	46→50	49→50	45	.252/.308/.396	.144	.327	12	13	26%	7%	98	+1.6	.248/.303/.399	.151	.320	14	16	26%	7%	97	+1.5	.250/.307/.393	.144	.308	14	17	23%	7%	94	+0.6
✕Lastings Milledge 2009 · MLB	24	52→58	48→50	50→55	47	.257/.325/.401	.144	.300	15	19	19%	7%	107	+2.2	.263/.318/.377	.114	.306	11	18	17%	6%	98	+1.6	.264/.316/.363	.099	.305	8	19	16%	6%	88	+0.7
✕Jeter Downs 2021 · AA	23	42→41	50	52→55	45	.218/.284/.375	.158	.271	18	18	26%	7%	83	+0.6	.182/.253/.314	.132	.259	17	20	35%	7%	55	-1.4	.178/.268/.330	.152	.242	18	26	33%	8%	64	-0.3
✕Brendan Rodgers 2020 · MLB	23	48→54	48→50	47→45	39	.241/.286/.381	.139	.300	16	7	25%	4%	85	+0.7	.244/.294/.380	.136	.298	14	4	22%	6%	89	+0.9	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
✕Aaron Luna 2010 · AA	23	40→43	50	49→45	46	.207/.313/.367	.160	.264	17	8	27%	8%	95	+1.4	.222/.323/.370	.148	.277	16	7	25%	8%	100	+1.7	.221/.326/.364	.144	.274	17	6	24%	9%	97	+1.0
✕Corey Joyce 2023 · AAA	24	43	46→45	49→50	48	.214/.309/.343	.130	.291	14	12	30%	9%	87	+0.8	.210/.307/.314	.104	.303	9	14	31%	10%	79	+0.3	.210/.307/.291	.081	.310	5	16	30%	10%	69	-0.2
✕Yairo Muñoz 2019 · MLB	24	49→54	46→50	47→55	42	.243/.286/.374	.131	.297	14	13	24%	5%	83	+0.6	.260/.301/.384	.124	.316	12	17	21%	5%	92	+1.2	.269/.296/.376	.106	.319	10	23	19%	3%	83	+0.3
●Luis Juarez 2013 · AAA	23	48→57	46→50	46→40	43	.239/.284/.366	.126	.277	13	8	19%	5%	80	+0.4	.239/.277/.351	.112	.270	10	6	15%	4%	72	-0.2	.266/.314/.399	.133	.283	16	3	12%	6%	99	+1.1
●Zach Neto 2023 · AA	22	49→48	47→60	49→55	41	.240/.300/.376	.136	.307	14	12	26%	6%	90	+1.0	.246/.317/.423	.177	.300	21	19	25%	6%	111	+2.5	.248/.320/.446	.198	.298	25	24	25%	6%	113	+2.3
●Yamaico Navarro 2011 · MLB	23	47→53	44→50	49→50	45	.232/.283/.352	.119	.280	11	12	21%	6%	76	+0.0	.227/.287/.351	.124	.273	12	13	21%	7%	78	+0.2	.230/.298/.389	.159	.262	21	11	21%	9%	92	+0.8
●Jeremy Peña 2022 · AAA	24	47→57	47→50	51→50	41	.233/.294/.365	.132	.308	14	14	28%	6%	85	+0.7	.251/.297/.399	.148	.305	18	13	23%	5%	95	+1.4	.274/.329/.411	.137	.319	14	17	18%	6%	107	+2.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)