Jake Brown — OGILVIE

Jake BrownOF Inland Empire 66ers

Age 22 L/L A K +7%HR -5% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 110 proj PA

wRC+†77

AVG/OBP/SLG.228 / .281 / .343

PA110

HR2

K%24

BB%6

ISO115

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 48 / POW 48

Toolsscout grade

CONTACT48

scouting grade only

POWER48

scouting grade only

SPEED57

scouting grade only

DEFENSE53

scouting grade only

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
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	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2026	21	A	Inland Empire 66ers	—	109	99	31	7	0	2	8	12	0	7	4	313	364	444	809	131	333	11	7	355	96	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Inland Empire 66ers	—	109	101	29	6	0	2	6	16	0	7	4	287	327	406	733	119	310	15	6	310	96	—	—	—	—	—	—
2026	21	A MLE	Inland Empire 66ers	—	109	101	29	6	0	2	6	16	0	7	4	287	327	406	733	119	318	15	6	310	96	—	—	—	—	—	—
2026	21	A RAW	Inland Empire 66ers	—	109	99	31	7	0	2	8	12	0	7	4	313	364	444	809	131	333	11	7	355	96	—	—	—	—	—	—
2026	21	A MLE	Inland Empire 66ers	—	109	102	29	6	0	2	6	16	0	7	4	284	327	402	729	118	310	15	6	310	96	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Inland Empire 66ers	—	109	102	29	6	0	2	6	16	0	7	4	284	327	402	729	118	310	15	6	310	96	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	SEA	0%	219	202	47	9	1	4	14	53	1	5	1	230	283	346	629	115	288	24	6	281	77	-6	+1	-0	-1	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	SEA	34%	195	180	42	8	1	4	12	46	1	4	1	233	287	352	639	120	289	24	6	286	79	-5	+0	-0	-1	+4	-0.1
2029	24	MLB MLE	SEA	46%	303	278	64	12	1	6	20	72	2	7	1	234	290	358	648	124	290	24	7	289	82	-7	+1	+0	-2	+7	-0.1
2030	25	MLB MLE	SEA	52%	369	340	80	15	2	8	24	87	2	8	2	235	292	362	653	127	290	24	7	292	83	-7	+1	+1	-2	+8	-0.0
2031	26	MLB MLE	SEA	54%	411	377	88	16	2	9	28	97	3	9	2	236	293	364	657	129	290	24	7	293	85	-8	+1	+1	-2	+9	0.1
2032	27	MLB MLE	SEA	54%	430	395	93	17	2	10	29	102	3	10	2	235	293	364	657	129	290	24	7	293	85	-8	+1	+1	-3	+9	0.1
2033	28	MLB MLE	SEA	54%	439	403	94	17	2	10	30	105	3	9	2	233	291	359	651	126	289	24	7	291	83	-9	+1	-0	-3	+10	-0.1
2028	23	MLB CTX	SEA	34%	67	63	14	3	0	1	4	16	0	2	0	230	285	348	632	117	287	24	6	283	79	-2	+0	-0	-0	+1	-0.0
2029	24	MLB CTX	SEA	46%	140	129	30	5	1	3	9	33	1	3	1	232	288	353	641	121	288	24	6	286	82	-3	+0	+0	-1	+3	-0.1
2030	25	MLB CTX	SEA	52%	191	175	41	8	1	4	13	45	1	4	1	233	289	357	646	124	288	24	7	289	83	-4	+0	+0	-1	+4	-0.0
2031	26	MLB CTX	SEA	54%	223	204	48	9	1	5	15	52	2	5	1	234	291	359	650	126	287	23	7	290	85	-4	+1	+0	-1	+5	0.0
2032	27	MLB CTX	SEA	54%	233	213	49	9	1	5	16	55	2	5	1	233	291	359	650	126	287	24	7	290	85	-4	+1	+0	-1	+5	0.0
2033	28	MLB CTX	SEA	54%	238	218	50	9	1	5	16	57	2	5	1	231	289	354	643	123	286	24	7	288	83	-5	+1	-0	-1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1092	1002	232	43	5	23	73	258	8	24	5	232	289	353	642	122	288	24	7	289	83	-22	+3	+1	-7	+24	-0.1
/ 162G	—	A+C		—	650	596	139	26	3	14	43	154	5	14	3	233	290	357	647	124	290	24	7	289	83	-13	+2	+1	-4	+14	-0.0
Career	—	MLE		—	2366	2175	513	95	11	51	156	551	15	57	15	236	292	360	652	124	291	23	7	292	83	-46	+6	+2	-14	+49	-0.4
/ 162G	—	MLE		—	650	598	141	26	3	14	43	151	4	16	4	236	292	360	651	124	291	23	7	292	83	-13	+2	+0	-4	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Hernán Pérezlast yr '19 career totals — 6 seasons, 1,811 PA	2.7	1,811	45	69	252	281	387	-0	+12	3.7	3.7
/162	664	16	25	-0.0	+4.5	1.3	pk7: 4
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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 4 projected seasons	1.8	1,202	26	27	235	288	361	-7	+5	0.5	0.5
/162	664	15	15	-4.0	+2.7	0.3	pk7: 1
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -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
Jake Brown (OGILVIE)	22	30→48	35→48	60→57	—	228/281/343	114	288	2	3	24%	6%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Meyers 2022 · A	23	40→46	41→50	51→40	45	197/266/297	101	258	8	11	26%	7%	61	-1.5	222/279/357	135	292	15	6	28%	6%	79	-0.2	226/286/369	143	292	17	3	28%	6%	81	-0.0
✕Yohendrick Pinango 2024 · A	22	45→54	41→50	50	43	218/262/310	92	269	8	11	22%	5%	61	-1.5	220/284/340	120	279	12	9	24%	8%	77	-0.3	223/292/355	132	284	14	7	25%	8%	81	-0.0
✕Leandro Pineda 2024 · A	22	39→49	42→50	48→45	42	191/259/302	111	275	9	6	33%	7%	59	-1.6	213/280/341	128	279	13	6	27%	7%	76	-0.4	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Donald Lutz 2011 · A	22	40→49	43→50	50→45	40	202/253/312	110	269	10	8	28%	6%	59	-1.7	224/267/358	134	308	14	6	31%	5%	74	-0.5	217/262/369	152	289	16	8	30%	4%	73	-0.4
✕Mike Daniel 2007 · A	22	39→49	41→45	48→50	43	192/259/288	96	277	9	11	33%	8%	55	-1.9	236/287/346	110	319	10	14	28%	6%	79	-0.2	241/292/350	108	319	10	15	26%	6%	79	-0.2
✕Luis Barrera 2018 · A	22	44→54	40→45	52→50	38	214/250/309	95	287	7	12	28%	4%	55	-1.9	240/281/347	107	316	6	16	24%	5%	76	-0.4	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Mike Papi 2015 · A	22	38→48	41→45	50→45	49	188/265/282	94	249	9	7	27%	9%	57	-1.8	200/279/308	108	281	9	5	30%	9%	68	-1.0	213/297/336	123	282	13	4	27%	10%	80	-0.1
✕Travis Blankenhorn 2019 · A	22	40→45	44→50	50	38	198/259/324	126	291	11	7	34%	6%	64	-1.3	217/266/355	138	298	15	9	31%	5%	74	-0.6	208/282/359	151	278	18	6	31%	8%	78	-0.2
●Tristan Peters 2022 · A	22	44→53	40→50	54→50	42	208/272/301	94	318	7	13	35%	8%	63	-1.3	231/298/350	119	293	8	13	22%	8%	84	+0.1	233/307/367	134	284	11	9	21%	8%	90	+0.5
✕Nick Buss 2010 · A	23	44→54	43→50	52→55	40	217/255/329	111	264	10	9	22%	4%	63	-1.4	238/275/339	101	280	7	15	17%	4%	72	-0.7	249/288/382	134	291	12	19	18%	4%	85	+0.2
✕Enmanuel Valdez 2021 · A	22	40→47	42→55	46→45	40	199/252/305	106	273	10	9	30%	6%	57	-1.8	221/280/394	173	275	22	8	27%	7%	88	+0.5	223/287/404	181	270	24	8	27%	8%	92	+0.5
✕Tyler Callihan 2023 · A	23	43	42→45	53→55	42	213/262/322	108	277	9	14	26%	6%	63	-1.3	218/276/332	114	306	10	21	30%	7%	72	-0.7	213/281/334	121	303	14	24	32%	8%	71	-0.4
✕Hunter Morris 2011 · A	22	40→47	47→55	51→40	39	205/244/342	137	257	14	8	26%	4%	62	-1.4	226/261/388	162	278	17	5	25%	4%	79	-0.2	222/260/391	169	273	19	3	26%	4%	77	-0.3
✕Akil Baddoo 2021 · A	22	42→52	43→50	55	42	199/268/314	115	310	9	14	36%	8%	65	-1.2	240/314/385	145	320	14	21	27%	10%	98	+1.2	238/319/386	148	309	15	24	26%	11%	100	+0.9
✕BJ Boyd 2015 · A	22	42→52	38→45	48→50	43	204/257/282	78	272	5	10	26%	6%	53	-2.1	243/287/328	85	307	6	11	22%	5%	74	-0.5	259/306/366	107	315	10	10	20%	5%	87	+0.2
✕Carlos Guzman 2009 · A	23	43→48	43→50	52→50	37	212/259/321	109	310	12	12	34%	6%	63	-1.4	232/282/336	104	311	10	6	27%	6%	74	-0.5	237/289/332	96	308	9	3	25%	6%	75	-0.3
✕Brian Pointer 2014 · A	22	39→41	42→45	51→50	40	189/265/296	107	289	9	13	36%	7%	61	-1.5	210/285/338	128	315	13	12	35%	8%	77	-0.3	209/287/345	136	311	14	12	35%	9%	76	-0.3
●Leandro Castro 2011 · A	22	44→54	43→50	49→50	39	218/252/333	116	268	10	12	23%	4%	63	-1.4	233/261/348	115	279	11	14	20%	3%	69	-0.9	244/286/388	144	268	16	11	16%	5%	85	+0.2
✕Andy Wilkins 2011 · A	22	45→46	42→55	48→45	48	219/276/322	103	257	9	8	19%	7%	70	-0.9	221/276/369	148	268	17	4	24%	7%	81	-0.1	228/278/395	167	272	20	3	24%	6%	85	+0.2
✕Phillip Ervin 2015 · A	23	42→51	43→50	56→55	43	208/262/325	118	265	9	16	25%	6%	65	-1.2	211/283/329	118	266	11	24	24%	8%	74	-0.5	240/304/385	144	304	14	21	24%	7%	93	+0.6

Career Stats + Projections

Career Comps

Career Path Comps