Patrick Lee — OGILVIE

Patrick LeeOF Erie SeaWolves

Age 26 R/R 5'9" / 180 lbs AA HR -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION270 act + 10 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP315

ISO90

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 20 / POW 30

Toolsscout grade

CONTACT20

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	24	AA	Erie SeaWolves	—	38	32	5	2	1	0	4	14	2	3	0	156	289	281	571	125	278	37	11	270	69	-1	+1	—	—	+1	0.0
2024	24	A+	West Michigan Whitecaps	—	120	108	27	8	0	3	10	31	1	19	3	250	319	407	727	157	320	26	8	323	104	+1	+3	—	—	+3	0.6
2024	24	A	Lakeland Flying Tigers	—	85	65	20	2	0	2	17	17	3	13	1	308	471	431	901	123	391	20	20	415	167	+7	+2	—	—	+2	1.1
2024	24	INTL	Senadores de San Juan	—	32	28	7	0	0	0	4	10	0	6	0	250	344	250	594		389	31	12	285	79	-1	+1	—	—	+1	0.1
2025	25	A+	West Michigan Whitecaps	—	243	200	41	4	1	4	37	94	6	27	4	205	346	295	641	90	363	39	15	306	93	-2	+4	—	—	+5	0.7
2025	25	A	Lakeland Flying Tigers	—	109	91	23	7	0	1	16	38	2	12	4	253	376	363	739	110	423	35	15	342	118	+2	+1	—	—	+2	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	24	AA MLE	Erie SeaWolves	—	38	33	5	2	1	0	3	17	2	3	0	152	263	273	536	121	253	45	8	209	28	-3	+1	—	—	+1	-0.2
2024	24	A+ MLE	West Michigan Whitecaps	—	120	111	22	7	0	2	7	44	1	19	3	198	252	315	567	117	287	37	6	249	55	-6	+3	—	—	+3	-0.1
2024	24	A MLE	Lakeland Flying Tigers	—	85	70	18	1	0	2	12	23	3	13	1	257	388	357	745	100	354	27	14	330	109	+1	+2	—	—	+2	0.5
2025	25	A+ MLE	West Michigan Whitecaps	—	243	213	29	3	1	3	24	132	6	27	4	136	243	202	445	66	324	54	10	206	26	-22	+4	—	—	+5	-1.3
2025	25	A MLE	Lakeland Flying Tigers	—	109	94	18	6	0	1	13	54	2	12	4	191	303	287	590	96	405	50	12	255	59	-5	+1	—	—	+2	-0.2
2024	24	A+ MLE	4 teams	—	275	244	50	11	1	5	24	95	6	41	4	205	292	320	612	115	310	35	9	271	70	—	—	—	—	—	—
2024	24	A+ RAW	4 teams	—	275	233	59	12	1	5	35	72	6	41	4	253	365	378	743	124	344	26	13	339	70	—	—	—	—	—	—
2025	25	A+ MLE	2 teams	—	352	307	46	8	1	4	37	186	8	39	8	150	259	221	480	72	359	53	11	221	36	—	—	—	—	—	—
2025	25	A+ RAW	2 teams	—	352	291	64	11	1	5	53	132	8	39	8	220	355	316	671	96	383	38	15	317	36	—	—	—	—	—	—
2024	24	A+ MLE	4 teams	—	275	243	50	11	1	5	24	95	6	41	4	206	292	321	613	115	305	35	9	271	70	—	—	—	—	—	—
2025	25	A+ MLE	2 teams	—	352	304	46	8	1	4	37	186	8	39	8	151	259	224	482	72	349	53	11	221	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	24	A+ MLE	4 teams	—	275	243	50	11	1	5	24	95	6	41	4	206	292	321	613	115	305	35	9	271	70	—	—	—	—	—	—
2025	25	A+ MLE	2 teams	—	352	304	46	8	1	4	37	186	8	39	8	151	259	224	482	72	349	53	11	221	36	—	—	—	—	—	—
YTD	26	AA MLE	DET	—	270	233	47	9	1	9	28	113	6	29	2	202	303	365	668	163	333	42	10	295	86	-5	+5	+0	-2	+6	0.5
▸ 2026 season
YTD	26	ROK RAW	DET	—	33	25	10	2	1	3	7	10	0	1	0	400	531	920	1.451	520	538	30	21	574	86	—	—	—	—	—	—
YTD	26	A+ RAW	DET	—	90	68	19	3	1	4	17	26	3	10	0	279	443	529	973	250	375	29	19	420	86	—	—	—	—	—	—
YTD	26	AA RAW	DET	—	147	127	28	6	0	5	17	52	3	18	2	220	327	386	712	165	329	35	12	324	86	—	—	—	—	—	—
ROS	26	AA MLE	DET	2%	10	9	1	0	0	0	1	4	0	1	0	111	200	111	311		320	40	10	269	68	-0	+0	+0	-0	+0	-0.0
TOT	26	AA MLE	DET	—	280	242	48	9	1	9	29	117	6	30	2	198	300	355	655	157	328	42	10	294	85	-5	+5	+0	-2	+6	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	DET	27%	269	235	45	9	1	6	27	108	5	18	2	191	288	315	603	123	315	40	10	274	72	-9	+3	+0	-2	+6	-0.2
2028	28	MLB MLE	DET	40%	319	278	53	10	1	7	32	124	6	21	3	191	288	309	597	119	312	39	10	277	73	-10	+3	-1	-2	+7	-0.3
2029	29	MLB MLE	DET	45%	344	301	58	11	1	8	34	132	6	21	3	193	287	316	603	123	309	38	10	277	74	-11	+3	-1	-2	+7	-0.4
2027	27	MLB CTX	DET	27%	72	64	12	2	0	2	7	29	1	5	1	188	278	312	590	125	309	40	10	257	72	-2	+1	+0	-0	+2	-0.1
2028	28	MLB CTX	DET	40%	127	111	22	4	1	3	13	50	2	8	1	198	294	333	627	135	306	39	10	260	73	-4	+1	-0	-1	+3	-0.1
2029	29	MLB CTX	DET	45%	154	135	26	5	1	3	15	59	3	9	1	193	288	311	599	119	304	38	10	260	74	-5	+1	-1	-1	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	353	310	60	11	2	8	35	138	6	22	3	194	288	319	607	126	313	39	10	259	64	-11	+3	-1	-2	+8	-0.4
/ 162G	—	A+C		—	650	571	111	20	4	15	64	254	11	41	6	194	288	322	610	128	314	39	10	259	64	-21	+6	-2	-4	+14	-0.6
Career	—	MLE		—	1569	1374	253	49	5	30	155	649	31	141	20	184	281	293	574	108	318	41	10	263	64	-30	+9	-2	-6	+20	-0.9
/ 162G	—	MLE		—	650	569	104	20	2	12	64	269	13	58	8	183	280	288	568	105	317	41	10	263	64	-21	+6	-1	-4	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#4Eric Young Jr.last yr '18 career totals — 9 seasons, 1,925 PA	2.9	1,925	13	161	245	312	332	-11	-8	1.2	1.6
/162	664	4	56	-3.9	-2.7	0.4	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.5	358	8	23	193	286	316	-2	+0	-0.1	-0.0
/162	664	15	42	-4.0	+0.0	-0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -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
Patrick Lee (OGILVIE)	26	20	30	60	60	183/282/298	115	320	5	20	42%	10%	68	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tanner Kirwer 2022 · AA	26	43	44→40	61→60	47	212/300/327	115	295	13	36	30%	9%	80	-0.1	208/281/298	90	298	9	31	31%	8%	67	-1.1	196/267/262	66	284	7	35	31%	7%	51	-1.1
✕Nick Heath 2020 · AAA	26	46→40	39→40	64→65	40	209/271/297	88	334	7	44	37%	8%	61	-1.5	203/271/309	106	334	9	35	38%	8%	65	-1.2	184/262/291	107	315	8	36	40%	8%	55	-0.9
✕Marland Williams 2007 · AAA	26	39→40	43→45	61→60	39	190/248/300	110	295	10	37	37%	7%	54	-2.0	190/249/305	115	341	12	23	44%	7%	55	-1.9	161/218/271	111	302	13	23	49%	6%	34	-2.1
✕Champ Stuart 2018 · AA	25	39→38	38→30	59→60	36	181/244/257	76	317	6	31	42%	7%	42	-2.9	193/263/293	100	317	10	25	39%	8%	58	-1.7	105/204/196	90	163	13	37	43%	11%	13	-1.1
✕Cam Eden 2023 · AA	25	41→49	45→40	61→65	38	201/269/320	119	309	13	38	37%	7%	68	-1.0	202/271/289	87	299	7	42	32%	7%	61	-1.5	194/265/267	73	285	5	49	31%	7%	51	-1.2
✕Justin Dean 2023 · AAA	26	44→49	40→45	58→65	40	204/278/299	95	320	7	26	36%	7%	65	-1.2	209/288/298	89	324	8	39	35%	9%	69	-0.9	212/292/295	83	324	7	47	34%	9%	67	-0.7
✕Simon Whiteman 2023 · AA	26	39→44	36→30	58→55	43	181/262/245	64	295	4	26	37%	9%	47	-2.5	197/266/275	78	286	6	19	30%	8%	55	-2.0	187/253/253	65	254	4	20	26%	8%	42	-1.2
✕Chad Hinshaw 2017 · AA	26	45→43	42→45	55	41	214/289/322	108	308	9	26	32%	7%	75	-0.5	201/263/299	98	299	8	14	33%	6%	60	-1.6	177/235/262	85	266	6	11	34%	6%	38	-1.5
✕Ray-Patrick Didder 2021 · AA	26	40→49	38→45	55→60	41	188/273/268	80	300	6	24	36%	8%	57	-1.8	206/282/310	104	292	9	23	31%	7%	70	-0.8	198/283/305	107	280	11	28	31%	8%	67	-0.7
✕Duke Ellis 2023 · AA	25	45→50	40	60→80	38	211/269/296	85	324	8	37	35%	6%	61	-1.5	217/277/307	90	325	8	53	33%	7%	66	-1.1	232/283/327	96	324	8	91	29%	6%	70	-0.4
✕Tyler Tolbert 2023 · A	25	39→49	39→45	70→65	42	185/254/277	92	281	5	40	34%	8%	51	-2.2	217/272/314	97	302	7	40	29%	6%	65	-1.2	227/289/306	79	310	6	60	27%	6%	68	-0.5
✕Daniel Hinojosa 2009 · AAA	25	44	38→40	58→55	40	207/268/279	72	305	6	26	32%	7%	57	-1.8	234/278/320	86	310	5	20	25%	5%	69	-0.9	247/287/328	80	320	4	20	23%	4%	71	-0.4
✕Mike Antico 2023 · AA	25	41→43	44→45	62→60	44	204/273/323	120	275	11	36	29%	8%	69	-0.9	216/278/333	117	291	12	34	28%	7%	73	-0.6	217/280/331	115	292	12	35	28%	7%	70	-0.7
✕Aaron Whitefield 2023 · AA	26	46→48	42→40	57→60	41	222/277/326	105	315	9	32	31%	7%	71	-0.8	214/273/332	118	335	11	26	37%	7%	70	-0.8	159/223/261	102	296	11	46	47%	7%	33	-0.7
✕Adam Engel 2018 · MLB	26	39→48	43→50	57→60	40	194/257/310	116	274	9	24	32%	6%	60	-1.6	221/275/344	123	302	11	17	29%	5%	74	-0.5	223/283/355	132	299	13	23	29%	5%	77	-0.2
✕Stephen Wrenn 2021 · AA	26	43	42→45	58→60	40	207/267/318	111	295	8	25	32%	6%	65	-1.2	213/274/327	114	323	11	22	35%	6%	70	-0.8	198/261/302	104	308	10	29	37%	6%	57	-1.0
✕Nick Dalesandro 2023 · AA	26	48	36→30	62→65	41	224/277/288	65	323	4	40	30%	7%	61	-1.5	212/269/284	72	307	5	29	30%	7%	57	-1.8	180/244/222	42	272	1	38	32%	7%	32	-1.4
✕Darren Ford 2012 · MLB	26	47→53	41→45	59→65	41	224/277/323	99	305	8	34	28%	6%	70	-0.9	225/272/306	81	304	6	39	26%	6%	63	-1.3	227/272/293	66	306	4	48	26%	5%	57	-1.0
✕Tanner English 2018 · AAA	25	36→44	41→45	60→55	38	173/250/275	102	300	8	27	42%	8%	50	-2.3	176/231/273	97	295	7	19	40%	5%	41	-3.0	159/204/252	93	257	6	19	39%	4%	23	-1.8
✕Lane Adams 2017 · AAA	27	46	43→45	59→60	42	227/280/339	112	301	11	32	28%	6%	75	-0.5	208/267/331	123	313	13	29	35%	7%	68	-1.0	186/251/313	127	291	14	28	39%	7%	56	-0.9

Career Stats + Projections

Career Comps

Career Path Comps