Bennett Lee — OGILVIE

Bennett LeeC Erie SeaWolves

Age 24 R/R 5'11" / 215 lbs AA HR -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION262 act + 10 ros · stats below = ROS only

showingROS

wRC+†39

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

PA10

HR0

K%40

BB%10

BABIP268

ISO74

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 20 / POW 30

Toolsscout grade

CONTACT20

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED40

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	Pre-Arb	$0.9M	—	—	—
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		$-1M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2023	21	A	Lakeland Flying Tigers	—	90	60	12	1	0	0	22	11	6	1	0	200	455	217	671	17	235	12	24	344	119	+2	+0	—	—	+2	0.4
2024	22	A+	West Michigan Whitecaps	—	185	157	26	9	0	1	25	51	3	0	0	166	292	242	534	76	238	28	14	258	61	-9	+0	—	—	+4	-0.5
2024	22	A	Lakeland Flying Tigers	—	17	16	4	1	0	2	0	4	1	0	0	250	294	688	982	438	200	24	0	417	168	+1	+0	—	—	+0	0.2
2025	23	A+	West Michigan Whitecaps	—	237	202	23	6	0	3	29	92	3	0	0	114	235	188	423	74	182	39	12	207	26	-21	+0	—	—	+5	-1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	21	A MLE	Lakeland Flying Tigers	—	90	67	13	1	0	0	15	16	6	1	0	194	386	209	595	15	228	18	17	295	86	-2	+0	—	—	+2	0.1
2024	22	A+ MLE	West Michigan Whitecaps	—	185	165	20	7	0	1	17	72	3	0	0	121	216	182	398	61	214	39	9	192	16	-18	+0	—	—	+4	-1.5
2024	22	A MLE	Lakeland Flying Tigers	—	17	16	3	1	0	1	0	6	1	0	0	188	235	438	673	250	159	35	0	294	85	-0	+0	—	—	+0	0.0
2025	23	A+ MLE	West Michigan Whitecaps	—	237	212	16	4	0	2	19	129	3	0	0	75	162	123	285	47	161	54	8	141	-18	-33	+0	—	—	+5	-2.9
2023	21	A MLE	Lakeland Flying Tigers	—	90	67	13	1	0	0	15	16	6	1	0	194	386	209	595	15	245	18	17	295	86	—	—	—	—	—	—
2023	21	A RAW	Lakeland Flying Tigers	—	90	60	12	1	0	0	22	11	6	1	0	200	455	217	671	17	235	12	24	344	86	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	202	181	23	8	0	2	17	77	4	0	0	127	218	204	422	77	206	38	8	201	22	—	—	—	—	—	—
2024	22	A+ RAW	2 teams	—	202	173	30	10	0	3	25	55	4	0	0	173	292	283	575	110	235	27	12	272	22	—	—	—	—	—	—
2025	23	A+ MLE	West Michigan Whitecaps	—	237	212	16	4	0	2	19	129	3	0	0	75	162	123	285	47	167	54	8	141	-18	—	—	—	—	—	—
2025	23	A+ RAW	West Michigan Whitecaps	—	237	202	23	6	0	3	29	92	3	0	0	114	235	188	423	74	182	39	12	207	-18	—	—	—	—	—	—
2023	21	A MLE	Lakeland Flying Tigers	—	90	69	13	1	0	0	15	16	6	1	0	188	386	203	589	14	228	18	17	295	86	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	202	179	23	8	0	2	17	77	4	0	0	128	218	207	425	78	209	38	8	201	22	—	—	—	—	—	—
2025	23	A+ MLE	West Michigan Whitecaps	—	237	213	16	4	0	2	19	129	3	0	0	75	162	122	284	47	161	54	8	141	-18	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	Lakeland Flying Tigers	—	90	69	13	1	0	0	15	16	6	1	0	188	386	203	589	14	228	18	17	295	86	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	202	179	23	8	0	2	17	77	4	0	0	128	218	207	425	78	209	38	8	201	22	—	—	—	—	—	—
2025	23	A+ MLE	West Michigan Whitecaps	—	237	213	16	4	0	2	19	129	3	0	0	75	162	122	284	47	161	54	8	141	-18	—	—	—	—	—	—
YTD	24	AA MLE	DET	—	262	235	42	6	3	2	17	101	7	0	0	179	255	255	510	77	299	39	6	228	40	-19	+0	+0	+5	+6	-0.8
▸ 2026 season
YTD	24	AA RAW	DET	—	180	153	28	6	2	2	20	53	4	0	0	183	294	288	581	105	260	29	11	268	40	—	—	—	—	—	—
YTD	24	AAA RAW	DET	—	82	74	19	1	1	1	5	30	3	0	0	257	329	338	667	81	419	37	6	307	40	—	—	—	—	—	—
ROS	24	AA MLE	DET	2%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		272	40	10	225	39	-1	+0	+0	+0	+0	-0.0
TOT	24	AA MLE	DET	—	272	244	43	6	3	2	18	105	7	0	0	176	253	250	503	74	295	39	7	228	40	-19	+0	+0	+5	+6	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	DET	31%	323	288	50	10	2	4	26	121	6	1	0	174	256	264	520	90	272	37	8	239	48	-20	+0	+0	+6	+7	-0.7
2028	26	MLB MLE	DET	45%	375	335	60	12	2	6	30	136	7	1	0	179	261	281	541	101	274	36	8	249	54	-20	+0	+0	+7	+8	-0.5
2029	27	MLB MLE	DET	49%	394	352	64	12	2	7	32	140	7	1	0	182	263	287	550	105	275	36	8	253	57	-20	+0	+0	+7	+9	-0.4
2030	28	MLB MLE	DET	52%	404	360	66	13	2	7	34	143	7	1	0	183	267	289	556	106	275	35	8	253	58	-20	+0	-1	+7	+9	-0.5
2027	25	MLB CTX	DET	31%	100	90	15	3	1	1	8	37	2	0	0	167	250	256	506	89	268	37	8	223	48	-6	+0	+0	+2	+2	-0.2
2028	26	MLB CTX	DET	45%	167	149	27	5	1	3	13	60	3	1	0	181	261	289	549	107	270	36	8	232	54	-9	+0	+0	+3	+4	-0.2
2029	27	MLB CTX	DET	49%	194	173	31	6	1	3	16	69	3	1	0	179	260	277	538	98	271	36	8	236	57	-10	+0	+0	+3	+4	-0.2
2030	28	MLB CTX	DET	52%	208	185	32	6	1	3	17	74	4	1	0	173	257	265	522	92	271	36	8	237	58	-10	+0	-0	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	669	597	105	20	4	10	54	240	12	3	0	176	258	273	531	97	271	36	8	233	44	-36	+1	-0	+12	+14	-0.9
/ 162G	—	A+C		—	650	580	102	19	4	10	52	233	12	3	0	176	258	274	532	98	271	36	8	233	44	-35	+1	-0	+12	+14	-0.9
Career	—	MLE		—	2035	1804	293	60	8	28	174	766	40	5	0	162	251	251	502	89	259	38	9	234	44	-81	+1	-1	+27	+33	-2.2
/ 162G	—	MLE		—	650	576	94	19	3	9	56	245	13	2	0	163	253	253	506	90	261	38	9	234	44	-35	+0	-0	+12	+14	-1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam 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
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.0	675	11	2	180	260	282	+12	+8	-0.5	-0.3
/162	664	11	2	+11.9	+7.9	-0.5	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
Bennett Lee (OGILVIE)	24	20	30	40	50	161/242/235	74	272	2	1	39%	8%	39	-1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Austin Rei 2018 · A	24	37	39→40	37→40	39	179/255/268	89	273	6	4	34%	7%	51	-2.3	192/266/285	93	283	7	5	32%	7%	58	-1.7	179/259/266	87	256	8	2	31%	8%	49	-0.8
✕Anthony Hermelyn 2017 · A	23	35	39→40	41→30	40	174/240/256	82	275	7	3	37%	8%	41	-3.0	198/260/283	85	284	7	4	30%	8%	55	-2.0	191/256/259	68	261	5	0	27%	8%	45	-1.4
✕Cooper Johnson 2022 · A	24	37	39→45	46→40	45	175/266/262	87	290	6	5	38%	10%	53	-2.1	177/262/279	102	299	9	5	40%	9%	56	-1.9	158/248/280	122	245	14	3	39%	9%	48	-0.8
✕Matt Pagnozzi 2007 · AA	24	37	38→40	43→40	39	181/239/262	81	264	5	4	32%	6%	42	-2.9	197/247/275	78	277	6	4	29%	5%	47	-2.5	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Cristopher Navarro 2023 · AA	24	39	35→30	46→45	36	185/230/236	51	281	3	6	34%	5%	31	-3.7	191/245/263	72	274	5	6	30%	6%	44	-2.8	172/230/237	65	240	4	2	28%	6%	31	-0.8
✕Caleb Hamilton 2019 · A	24	35	41→45	45	45	174/251/275	101	255	8	6	33%	9%	50	-2.3	186/255/286	100	272	9	8	33%	8%	53	-2.1	141/235/256	115	206	16	3	39%	10%	39	-1.0
✕Rylan Sandoval 2012 · A	24	39	41→40	44→45	37	190/254/282	92	282	9	5	34%	5%	53	-2.1	207/258/299	92	302	7	7	32%	5%	57	-1.8	210/259/294	84	306	6	6	32%	5%	52	-0.8
✕Nick Derba 2010 · AA	24	35	38→30	39→30	48	169/265/247	78	259	6	4	34%	10%	50	-2.3	176/247/266	90	266	8	4	34%	8%	47	-2.6	154/215/230	77	225	7	1	34%	7%	24	-1.3
✕Alberti Chavez 2019 · AA	24	38	36→30	39→50	34	186/227/241	55	281	4	5	34%	4%	32	-3.7	204/254/272	68	288	5	6	29%	5%	49	-2.4	194/245/235	41	271	2	3	27%	5%	36	-1.1
✕Connor Justus 2019 · AA	24	39→38	38→40	42→45	46	188/272/267	79	265	6	8	29%	8%	57	-1.8	177/251/244	67	256	4	8	30%	7%	43	-2.8	152/224/201	49	226	2	6	31%	7%	21	-2.7
✕Andy Leer 2013 · A	25	34	37→30	39→45	39	167/237/233	65	272	5	5	38%	8%	35	-3.4	178/239/264	86	295	7	8	39%	7%	42	-2.9	139/189/223	84	228	8	7	41%	5%	13	-2.0
✕Beau Seabury 2009 · A	24	38	38→30	44→45	33	183/227/255	72	305	6	6	40%	5%	35	-3.4	199/248/265	66	303	4	5	34%	5%	45	-2.7	199/248/257	59	295	3	3	32%	5%	42	-1.0
✕David Masters 2017 · A	24	35→37	38→45	40	41	173/231/243	70	232	6	4	28%	6%	35	-3.4	191/256/291	100	260	10	2	29%	7%	55	-1.9	192/262/321	129	263	16	1	32%	7%	61	-0.6
✕Mark Kolozsvary 2021 · A	25	38	40	41→30	41	182/275/274	92	289	7	5	36%	8%	60	-1.6	181/266/293	112	287	11	4	38%	7%	61	-1.5	149/227/259	110	227	12	2	38%	6%	35	-0.7
✕Daniel Berg 2008 · A	23	37	39→40	45→40	39	180/245/262	82	274	6	4	35%	6%	45	-2.7	203/273/290	87	311	6	4	34%	7%	61	-1.5	202/279/286	84	310	6	2	34%	7%	60	-0.7
✕A.J. Kennedy 2018 · AA	24	27	37→30	39→40	30	147/189/210	63	236	6	4	39%	4%	11	-5.2	163/203/257	94	277	10	5	43%	4%	27	-4.0	118/147/212	94	197	12	0	47%	3%	-7	-1.2
✕Michael Johnson 2013 · A	24	39	38→40	41→40	41	188/250/267	79	283	4	4	33%	7%	47	-2.5	212/279/283	71	306	4	6	29%	8%	61	-1.5	248/321/315	67	351	3	7	28%	9%	81	-0.0
✕Anthony Mulrine 2023 · AAA	25	37	37→40	45→40	40	178/255/248	70	259	5	5	32%	6%	46	-2.6	192/272/277	85	272	7	6	30%	7%	59	-1.7	144/248/206	63	200	4	0	27%	8%	33	-0.8
✕Ryan Eigsti 2010 · A	24	37	39→45	43→40	37	180/247/261	81	280	7	4	36%	6%	45	-2.7	196/260/287	91	290	8	6	33%	6%	56	-1.9	194/265/341	147	297	17	4	38%	7%	70	-0.2
✕Dillon Moyer 2014 · A	23	34→39	36→30	45→50	35	166/219/235	69	277	4	6	40%	6%	28	-3.9	165/218/222	57	282	2	8	39%	6%	24	-4.2	146/200/193	47	255	1	9	40%	5%	9	-3.4

Career Stats + Projections

Career Comps

Career Path Comps