Beau Brewer — OGILVIE

Beau Brewer3B Hudson Valley Renegades

Age 24 R/R 6'2" / 215 lbs A+ HR +14% Svc 0.0 · Ctrl thru 2035

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 76 proj PA

wRC+†69

AVG/OBP/SLG.211 / .277 / .313

PA7

HR0

K%29

BB%8

ISO103

MLB%0%

Value2026 · WAR

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

Tools · Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	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. 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)
2022	20	ROK	FCL Yankees	—	31	29	6	2	0	0	2	2	0	0	0	207	258	276	534	69	222	6	6	245	52	-2	+0	—	—	+1	-0.1
2023	21	A	Tampa Tarpons	—	195	157	44	2	0	0	35	12	1	3	1	280	415	293	708	13	299	6	18	337	114	+3	+0	—	—	+4	0.8
2024	22	A+	Hudson Valley Renegades	—	102	92	21	6	0	0	8	19	0	0	0	228	284	293	578	65	288	19	8	263	64	-4	+0	—	—	+2	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	20	ROK MLE	FCL Yankees	—	31	30	4	1	0	0	1	3	0	0	0	133	161	167	328	33	178	10	3	180	8	-3	+0	—	—	+1	-0.3
2023	21	A MLE	Tampa Tarpons	—	195	168	44	2	0	0	24	18	1	3	1	262	358	274	631	12	284	9	12	294	85	-3	+0	—	—	+4	0.1
2024	22	A+ MLE	Hudson Valley Renegades	—	102	97	19	5	0	0	5	27	0	0	0	196	235	247	483	52	260	26	5	207	26	-9	+0	—	—	+2	-0.7
2022	20	ROK MLE	FCL Yankees	—	31	30	4	1	0	0	1	3	0	0	0	133	161	167	328	33	148	10	3	180	8	—	—	—	—	—	—
2022	20	ROK RAW	FCL Yankees	—	31	29	6	2	0	0	2	2	0	0	0	207	258	276	534	69	222	6	6	245	8	—	—	—	—	—	—
2023	21	A MLE	Tampa Tarpons	—	195	168	44	2	0	0	24	18	1	3	1	262	358	274	631	12	289	9	12	294	85	—	—	—	—	—	—
2023	21	A RAW	Tampa Tarpons	—	195	157	44	2	0	0	35	12	1	3	1	280	415	293	708	13	299	6	18	337	85	—	—	—	—	—	—
2024	22	A+ MLE	Hudson Valley Renegades	—	102	97	19	5	0	0	5	27	0	0	0	196	235	247	483	52	271	26	5	207	26	—	—	—	—	—	—
2024	22	A+ RAW	Hudson Valley Renegades	—	102	92	21	6	0	0	8	19	0	0	0	228	284	293	578	65	288	19	8	263	26	—	—	—	—	—	—
2022	20	ROK MLE	FCL Yankees	—	31	30	4	1	0	0	1	3	0	0	0	133	161	167	328	33	178	10	3	180	8	—	—	—	—	—	—
2023	21	A MLE	Tampa Tarpons	—	195	168	44	2	0	0	24	18	1	3	1	262	358	274	631	12	284	9	12	294	85	—	—	—	—	—	—
2024	22	A+ MLE	Hudson Valley Renegades	—	102	96	19	5	0	0	5	27	0	0	0	198	235	250	485	52	260	26	5	207	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	Tampa Tarpons	—	195	168	44	2	0	0	24	18	1	3	1	262	358	274	631	12	284	9	12	294	85	—	—	—	—	—	—
2024	22	A+ MLE	Hudson Valley Renegades	—	102	96	19	5	0	0	5	27	0	0	0	198	235	250	485	52	260	26	5	207	26	—	—	—	—	—	—
▸ 2026 season
2026	24	MLB MLE	NYY	0%	7	6	1	0	0	0	1	2	0	0	0	167	286	167	452		292	29	14	270	69	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	NYY	30%	131	119	27	5	1	3	10	37	1	2	1	227	292	361	654	134	292	28	8	278	74	-4	+0	+0	+0	+3	-0.1
2028	26	MLB MLE	NYY	44%	235	213	47	8	1	5	18	66	2	4	1	221	288	338	626	117	292	28	8	284	78	-6	+0	+0	+1	+5	0.0
2029	27	MLB MLE	NYY	49%	299	270	59	11	1	6	24	83	3	5	1	219	290	333	623	115	292	28	8	286	80	-7	+1	+0	+1	+6	0.1
2030	28	MLB MLE	NYY	52%	340	307	68	12	2	7	27	94	3	5	1	221	291	342	633	121	291	28	8	286	79	-8	+1	-1	+1	+7	0.0
2031	29	MLB MLE	NYY	51%	359	324	72	13	2	8	29	100	3	5	1	222	292	349	641	127	290	28	8	284	78	-9	+1	-1	+1	+8	-0.1
2027	25	MLB CTX	NYY	30%	40	37	8	1	0	1	3	11	0	1	0	216	275	324	599	108	294	28	8	276	74	-1	+0	+0	+0	+1	-0.0
2028	26	MLB CTX	NYY	44%	104	94	21	4	1	2	8	29	1	2	0	223	291	351	642	128	294	28	8	281	78	-3	+0	+0	+0	+2	0.0
2029	27	MLB CTX	NYY	49%	147	133	29	5	1	3	12	41	1	2	1	218	288	338	626	120	293	28	8	283	80	-4	+0	+0	+1	+3	0.0
2030	28	MLB CTX	NYY	52%	175	157	35	6	1	4	14	49	2	3	1	223	295	350	645	127	293	28	8	283	79	-4	+0	-0	+1	+4	-0.0
2031	29	MLB CTX	NYY	51%	185	166	37	7	1	4	15	52	2	3	1	223	295	349	644	127	292	28	8	281	78	-5	+0	-1	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	651	587	130	23	4	14	52	182	6	11	3	221	291	346	637	124	294	28	8	282	75	-17	+1	-1	+2	+14	-0.0
/ 162G	—	A+C		—	650	586	130	23	4	14	52	182	6	11	3	222	292	346	638	125	294	28	8	282	75	-17	+1	-1	+2	+14	-0.0
Career	—	MLE		—	1699	1534	341	57	7	29	139	430	13	24	6	222	292	325	618	103	288	25	8	279	75	-35	+2	-2	+5	+30	-0.1
/ 162G	—	MLE		—	650	587	131	22	3	11	53	165	5	9	2	223	293	327	620	104	290	25	8	279	75	-17	+1	-1	+2	+14	-0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan 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
#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 2 projected seasons	1.0	651	14	10	221	288	342	+2	+1	0.5	0.5
/162	664	14	10	+2.4	+1.0	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
Beau Brewer (OGILVIE)	24	—	—	—	—	211/277/313	102	292	1	1	29%	8%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kyle Robinson 2012 · A	23	35	41→45	51→30	39	178/228/284	107	247	8	4	31%	6%	43	-2.8	205/255/294	89	300	5	5	31%	6%	55	-2.0	210/261/310	100	314	5	1	33%	6%	60	-0.7
✕Luis Nieblas 2009 · AAA	24	42	37→45	50→45	39	202/255/271	69	287	5	9	30%	5%	49	-2.4	244/290/334	90	314	7	9	23%	5%	77	-0.3	249/296/345	96	324	9	6	25%	4%	80	-0.1
✕Josh Lester 2017 · A	23	40→42	39→55	50→40	35	192/237/273	81	293	6	7	36%	5%	43	-2.8	209/252/336	127	273	13	3	28%	5%	63	-1.3	198/252/356	158	254	20	1	30%	6%	68	-0.8
✕Dean Espy 2015 · A	25	37	44→45	47→45	35	193/222/303	110	252	12	6	29%	3%	45	-2.7	197/241/299	102	256	10	8	27%	4%	51	-2.2	172/218/250	78	215	9	8	24%	4%	30	-1.5
✕Zach Zubia 2022 · A	24	44→35	36→45	48→30	35	183/251/245	62	369	3	5	47%	8%	42	-2.9	195/305/315	120	315	14	2	38%	13%	80	-0.1	180/297/305	125	277	16	1	37%	13%	74	-0.3
✕Tim Elko 2023 · A	24	47→53	44→50	48→40	24	195/229/304	109	404	12	6	53%	4%	47	-2.5	230/272/377	147	360	19	3	39%	5%	81	-0.1	231/276/376	145	350	19	2	38%	5%	79	-0.2
✕Nick Pratto 2021 · A	22	37→45	42→55	49→50	33	179/230/279	100	307	10	13	43%	6%	42	-2.9	200/287/381	181	293	22	9	37%	10%	88	+0.5	194/287/372	178	283	22	7	37%	10%	85	+0.2
✕Stephen Cardullo 2011 · A	23	42→46	36→50	45	37	192/250/254	62	318	3	6	38%	6%	44	-2.8	208/268/331	123	289	12	5	31%	6%	69	-0.9	215/268/338	123	252	11	6	19%	6%	69	-0.5
✕Jake Gatewood 2021 · AA	25	35→39	46→50	50→45	32	182/227/304	122	291	15	6	42%	5%	47	-2.5	179/221/337	158	274	21	6	42%	4%	53	-2.1	160/206/312	152	240	20	6	42%	4%	39	-2.1
✕Lance Durham 2012 · A	24	37→36	43→45	50→30	39	183/247/292	108	298	10	7	40%	8%	52	-2.2	185/258/309	124	313	12	4	41%	9%	60	-1.6	171/246/287	116	286	11	2	41%	8%	50	-1.5
✕Justin Seager 2016 · A	24	40→44	36→40	45→30	37	189/249/256	67	291	4	4	34%	5%	45	-2.7	197/265/317	120	285	14	4	34%	7%	65	-1.2	178/261/325	147	226	22	0	31%	8%	65	-0.7
✕Joe Mahoney 2009 · A	22	39→49	41→50	49→50	35	194/234/294	100	277	9	4	33%	4%	47	-2.6	232/269/355	123	314	11	12	29%	4%	74	-0.5	247/285/379	132	311	12	8	24%	4%	85	+0.2
✕Matthew Whitney 2007 · A	23	35→45	42→50	37→30	37	176/237/274	97	283	10	2	40%	7%	45	-2.7	225/282/366	141	296	16	2	28%	7%	82	+0.0	236/296/381	145	295	17	1	25%	7%	89	+0.4
✕Robert Jacobsen 2009 · A	24	41→51	36→40	47→50	37	189/248/254	65	308	4	10	38%	6%	43	-2.8	211/255/298	87	318	5	8	33%	5%	55	-1.9	210/252/298	88	311	5	8	33%	5%	52	-1.4
✕Chris Serritella 2014 · A	24	40→37	41→45	46→30	35	196/237/289	93	289	9	3	34%	5%	47	-2.6	196/247/300	104	288	10	4	34%	6%	53	-2.1	169/225/277	109	240	12	0	34%	7%	39	-1.7
✕Brian Navarreto 2019 · AA	24	41	38→45	41→30	38	199/236/273	74	250	6	3	23%	3%	42	-2.9	195/236/305	110	237	13	4	23%	4%	51	-2.3	200/249/314	115	246	14	1	25%	5%	55	-0.7
✕John Silviano 2018 · A	24	37→34	45→50	51→40	35	185/240/309	124	308	13	5	43%	6%	53	-2.1	190/249/323	133	293	16	4	39%	7%	60	-1.6	171/234/308	137	248	18	1	38%	7%	50	-1.1
✕Matt Davidson 2016 · MLB	25	32→42	44→60	45→30	38	171/235/279	108	257	13	2	37%	7%	45	-2.7	206/268/365	159	290	20	2	35%	7%	77	-0.3	216/288/412	197	287	27	0	34%	7%	94	+0.7
✕Ryan Ripken 2016 · A	23	40→43	39→45	46→40	40	197/237/285	88	255	6	4	25%	5%	45	-2.7	198/228/268	70	270	5	3	28%	4%	38	-3.2	198/226/272	74	274	8	1	30%	3%	35	-1.7
✕K.C. Hobson 2017 · AA	26	37→45	41→45	47→40	42	190/235/284	94	236	10	3	24%	5%	45	-2.7	209/258/352	143	286	18	6	33%	6%	70	-0.8	202/244/365	163	253	26	2	32%	5%	67	-0.4

Career Stats + Projections

Career Comps

Career Path Comps