Archer Brookman — OGILVIE

Archer BrookmanC Columbus Clingstones

Age 27 R/R 6'0" / 200 lbs AA Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION312 act + 9 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP250

ISO85

MLB%2%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE30

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	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		$-0.3M	+$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. 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	24	A	Lakeland Flying Tigers	—	88	64	13	2	1	1	21	20	2	0	0	203	414	312	726	109	273	23	24	347	121	+2	+0	—	—	+2	0.4
2024	25	A+	West Michigan Whitecaps	—	25	21	2	1	0	0	2	8	2	0	0	95	240	143	383	48	154	32	8	202	23	-2	+0	—	—	+1	-0.2
2024	25	A	Lakeland Flying Tigers	—	193	158	37	10	0	4	26	37	4	1	0	234	356	373	730	139	273	19	13	327	107	+2	+0	—	—	+4	0.6
2025	26	A+	West Michigan Whitecaps	—	228	204	47	8	0	2	15	38	4	1	0	230	296	299	595	69	266	17	7	269	68	-9	+0	—	—	+5	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	24	A MLE	Lakeland Flying Tigers	—	88	71	12	2	1	1	14	29	2	0	0	169	322	268	589	99	256	33	16	271	70	-3	+0	—	—	+2	-0.1
2024	25	A+ MLE	West Michigan Whitecaps	—	25	22	2	1	0	0	1	11	2	0	0	91	200	136	336	45	140	44	4	149	-13	-3	+0	—	—	+1	-0.3
2024	25	A MLE	Lakeland Flying Tigers	—	193	166	31	7	0	3	18	51	4	1	0	187	282	283	565	96	232	26	9	259	61	-9	+0	—	—	+4	-0.5
2025	26	A+ MLE	West Michigan Whitecaps	—	228	209	41	7	0	2	10	53	4	1	0	196	247	258	505	62	233	23	4	220	35	-18	+0	—	—	+5	-1.3
2023	24	A MLE	Lakeland Flying Tigers	—	88	71	12	2	1	1	14	29	2	0	0	169	322	268	589	99	262	33	16	271	70	—	—	—	—	—	—
2023	24	A RAW	Lakeland Flying Tigers	—	88	64	13	2	1	1	21	20	2	0	0	203	414	312	726	109	273	23	24	347	70	—	—	—	—	—	—
2024	25	A MLE	2 teams	—	218	187	33	8	0	3	20	62	6	1	0	176	277	267	544	91	238	28	9	246	53	—	—	—	—	—	—
2024	25	A RAW	2 teams	—	218	179	39	11	0	4	28	45	6	1	0	218	343	346	689	128	261	21	13	312	53	—	—	—	—	—	—
2025	26	A+ MLE	West Michigan Whitecaps	—	228	209	41	7	0	2	10	53	4	1	0	196	247	258	505	62	245	23	4	220	35	—	—	—	—	—	—
2025	26	A+ RAW	West Michigan Whitecaps	—	228	204	47	8	0	2	15	38	4	1	0	230	296	299	595	69	266	17	7	269	35	—	—	—	—	—	—
2023	24	A MLE	Lakeland Flying Tigers	—	88	72	12	2	1	1	14	29	2	0	0	167	322	264	586	97	256	33	16	271	70	—	—	—	—	—	—
2024	25	A MLE	2 teams	—	218	190	33	8	0	3	20	62	6	1	0	174	277	263	540	89	221	28	9	246	53	—	—	—	—	—	—
2025	26	A+ MLE	West Michigan Whitecaps	—	228	212	41	7	0	2	10	53	4	1	0	193	247	255	501	61	233	23	4	220	35	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	24	A MLE	Lakeland Flying Tigers	—	88	72	12	2	1	1	14	29	2	0	0	167	322	264	586	97	256	33	16	271	70	—	—	—	—	—	—
2024	25	A MLE	2 teams	—	218	190	33	8	0	3	20	62	6	1	0	174	277	263	540	89	221	28	9	246	53	—	—	—	—	—	—
2025	26	A+ MLE	West Michigan Whitecaps	—	228	212	41	7	0	2	10	53	4	1	0	193	247	255	501	61	233	23	4	220	35	—	—	—	—	—	—
YTD	27	AA MLE	ATL	—	312	281	55	6	0	7	25	75	5	0	0	196	273	292	565	96	241	24	8	255	59	-15	+0	+0	+6	+7	-0.3
▸ 2026 season
YTD	27	A+ RAW	ATL	—	17	15	3	2	0	0	2	2	0	0	0	200	294	333	627	133	231	12	12	286	59	—	—	—	—	—	—
YTD	27	AA RAW	ATL	—	295	253	57	5	0	9	36	59	5	0	0	225	333	352	685	126	259	20	12	315	59	—	—	—	—	—	—
ROS	27	AA MLE	ATL	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		250	22	11	257	60	-0	+0	+0	+0	+0	-0.0
TOT	27	AA MLE	ATL	—	321	289	56	6	0	7	26	77	5	0	0	194	272	287	559	93	239	24	8	255	59	-16	+0	+0	+6	+7	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	ATL	27%	226	203	40	6	0	4	18	55	3	1	0	197	272	286	558	89	254	24	8	263	64	-10	+0	-1	+4	+5	-0.1
2028	29	MLB MLE	ATL	37%	276	248	50	8	0	5	22	67	4	1	0	202	277	294	572	93	256	24	8	266	66	-11	+0	-1	+5	+6	-0.1
2029	30	MLB MLE	ATL	43%	310	278	57	9	0	6	25	76	4	1	0	205	280	302	582	97	257	25	8	266	66	-12	+0	-2	+6	+7	-0.2
2027	28	MLB CTX	ATL	27%	61	55	11	2	0	1	5	15	1	0	0	200	279	291	570	91	254	25	8	253	64	-3	+0	-0	+1	+1	-0.0
2028	29	MLB CTX	ATL	37%	102	92	19	3	0	2	8	25	1	0	0	207	277	304	582	98	256	25	8	256	66	-4	+0	-1	+2	+2	-0.1
2029	30	MLB CTX	ATL	43%	134	120	25	4	0	3	11	33	2	0	0	208	286	317	602	108	257	25	8	256	66	-5	+0	-1	+2	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	297	267	55	9	0	6	24	73	4	0	0	206	281	307	588	101	258	25	8	255	59	-12	+0	-2	+5	+6	-0.2
/ 162G	—	A+C		—	650	584	121	20	0	13	53	160	9	0	0	207	283	308	592	101	260	25	8	255	59	-26	+0	-4	+12	+14	-0.4
Career	—	MLE		—	1355	1204	234	40	1	21	110	344	23	5	0	194	274	282	556	87	250	25	8	255	59	-34	+1	-4	+15	+18	-0.5
/ 162G	—	MLE		—	650	578	112	19	0	10	53	165	11	2	0	194	275	279	553	85	249	25	8	255	59	-27	+0	-3	+12	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Adam 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
#4Guillermo 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
#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 1 projected seasons	0.5	301	6	1	205	277	303	+5	+4	0.1	0.1
/162	664	12	2	+11.9	+8.8	0.2	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
Archer Brookman (OGILVIE)	27	40	25	40	30	197/270/284	88	250	3	1	24%	8%	60	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alfredo González 2019 · AAA	27	44	38→30	44→45	43	210/267/283	73	283	6	7	27%	6%	57	-1.8	212/276/297	85	291	7	6	27%	8%	63	-1.3	191/265/251	60	261	3	0	26%	9%	47	-1.0
✕Javi Herrera 2008 · AA	27	43	40	41→45	45	210/277/299	90	255	8	5	21%	6%	65	-1.2	211/295/302	91	272	7	8	23%	9%	73	-0.6	196/294/272	76	261	5	6	24%	10%	65	-0.4
✕Brandon Bantz 2014 · AAA	27	42	39→30	40→30	40	204/254/288	83	271	7	5	27%	5%	53	-2.1	217/266/312	95	283	8	6	25%	6%	63	-1.4	208/260/295	87	260	9	0	23%	7%	54	-0.7
✕Ronnie Freeman 2018 · AAA	27	44	38→40	42→30	41	213/257/292	78	282	6	3	26%	5%	55	-2.0	224/271/323	99	299	10	4	27%	6%	68	-1.0	210/258/311	101	273	13	0	27%	6%	57	-0.5
✕Jeff Kunkel 2010 · AA	27	41	39→40	42→30	39	201/245/283	82	266	7	4	27%	5%	49	-2.4	207/259/293	86	276	8	5	27%	5%	57	-1.8	198/250/266	69	263	6	1	26%	4%	44	-0.9
✕Kyle Overstreet 2021 · AA	27	44→46	40	48→30	41	217/259/302	85	271	8	4	23%	5%	58	-1.7	221/285/305	84	302	7	6	27%	8%	69	-0.9	216/286/281	65	297	5	2	27%	9%	62	-1.0
✕Erick Castillo 2019 · AA	26	42	37→30	46→30	41	203/249/273	70	254	6	4	22%	5%	47	-2.5	208/263/281	73	264	6	5	22%	5%	55	-1.9	198/267/228	29	252	1	0	20%	5%	43	-0.8
✕Matt Pagnozzi 2010 · AAA	27	41	39→40	43→40	39	202/254/282	80	282	8	4	30%	6%	52	-2.2	216/276/301	85	300	7	3	28%	7%	65	-1.2	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Corey Myers 2007 · AAA	27	44	39→40	43→45	45	212/266/294	82	268	8	5	23%	7%	59	-1.7	227/287/324	97	274	10	9	20%	7%	74	-0.6	227/288/296	69	264	7	7	16%	8%	68	-0.3
✕Sharlon Schoop 2015 · AA	28	44	40	38→45	42	215/266/308	92	275	8	4	24%	6%	62	-1.4	208/253/291	83	269	7	3	24%	5%	53	-2.1	200/253/303	103	256	10	0	25%	6%	53	-0.7
✕John Purdom 2008 · AA	27	47	38→40	39→40	44	223/278/302	80	271	6	3	20%	5%	65	-1.2	213/263/319	106	257	10	6	21%	6%	64	-1.3	205/259/333	128	234	13	3	19%	6%	65	-0.5
✕Pat Cantwell 2017 · AAA	27	43	36→30	42→40	40	206/265/270	64	280	4	7	27%	5%	53	-2.1	217/284/309	92	303	8	9	29%	6%	70	-0.8	253/339/383	130	321	13	6	24%	8%	105	+0.4
✕J.C. Boscan 2007 · AAA	27	42	37→40	41→30	40	202/258/274	72	288	5	5	30%	6%	51	-2.2	214/282/282	68	283	4	5	24%	8%	63	-1.4	220/290/269	49	283	2	2	21%	8%	61	-0.7
✕Colton Plaia 2018 · AA	27	46	36→40	41→30	43	216/270/280	63	290	4	3	26%	6%	57	-1.8	195/246/302	107	292	10	4	35%	6%	53	-2.1	161/208/276	114	245	12	0	39%	5%	32	-1.1
✕Spencer Kieboom 2017 · AA	26	44	39→40	44→30	48	214/273/300	86	262	6	3	21%	7%	63	-1.3	211/274/295	84	260	7	3	20%	8%	63	-1.4	202/266/277	76	247	6	0	20%	8%	53	-0.8
✕Chandler Seagle 2023 · AA	27	41	39→40	44→45	38	199/254/282	84	287	6	5	32%	5%	52	-2.2	181/227/257	76	296	6	7	39%	5%	36	-3.4	148/189/203	55	257	3	4	42%	3%	7	-1.6
✕Mike Nickeas 2010 · AAA	27	41	37→40	42→40	46	195/255/268	73	249	5	5	23%	7%	49	-2.4	222/288/307	85	269	7	4	19%	8%	70	-0.8	222/288/298	77	266	6	1	18%	8%	67	-0.5
✕Osvaldo Abreu 2021 · AA	27	41→48	40	44→50	38	198/253/292	93	292	8	8	34%	6%	54	-2.0	204/267/295	91	336	7	9	38%	7%	60	-1.6	140/212/191	51	264	3	4	45%	8%	13	-0.8
✕Blake Allemand 2019 · AA	27	46	39→40	42→40	43	220/272/308	88	279	7	4	23%	6%	65	-1.2	218/279/341	123	277	13	6	25%	6%	75	-0.5	178/250/338	160	204	20	0	25%	6%	62	-0.3
✕Audry Pérez 2016 · AAA	27	47	39→40	42→40	40	225/247/305	80	258	7	3	17%	3%	53	-2.1	245/278/346	101	288	11	3	19%	4%	75	-0.5	251/283/357	107	291	13	0	19%	3%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps