Brendan Summerhill

Brendan SummerhillCF Charleston RiverDogs

Age 22 L/R 6'3" / 200 lbs A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION377 act + 10 ros · stats below = ROS only

showingROS

wRC+†78

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

PA10

HR0

K%20

BB%10

BABIP286

ISO121

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · ContractCON 57 / POW 45

Toolsscout grade

CONTACT57

scouting grade only

POWER45

scouting grade only

EYE53

scouting grade only

SPEED55

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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)
2025	21	A	Charleston RiverDogs	—	42	36	12	2	1	0	6	5	0	5	1	333	429	444	873	111	387	12	14	393	152	+3	+1	—	—	+1	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	355	17	10	323	105	+0	+1	—	—	+1	0.2
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	355	17	10	323	105	—	—	—	—	—	—
2025	21	A RAW	Charleston RiverDogs	—	42	36	12	2	1	0	6	5	0	5	1	333	429	444	873	111	387	12	14	393	105	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	355	17	10	323	105	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Charleston RiverDogs	—	42	38	11	2	1	0	4	7	0	5	1	289	357	395	752	105	355	17	10	323	105	—	—	—	—	—	—
YTD	22	A MLE	TB	—	377	340	72	10	2	4	29	77	5	24	5	212	283	288	572	76	261	20	8	258	61	-18	+3	+0	+1	+8	-0.5
▸ 2026 season
YTD	22	ROK RAW	TB	—	22	18	6	2	0	0	3	2	0	3	0	333	429	444	873	111	353	9	14	376	61	—	—	—	—	—	—
YTD	22	A RAW	TB	—	288	245	58	10	3	4	39	39	3	14	5	237	348	351	699	114	267	14	14	321	61	—	—	—	—	—	—
YTD	22	A+ RAW	TB	—	67	60	17	0	0	1	4	14	2	7	0	283	348	333	682	50	348	21	6	311	61	—	—	—	—	—	—
ROS	22	A MLE	TB	0%	10	9	1	0	0	0	1	2	0	0	0	111	200	111	311		278	20	10	283	78	-0	+0	+0	+0	+0	-0.0
TOT	22	A MLE	TB	—	387	349	73	10	2	4	30	79	5	24	5	209	281	284	565	74	257	20	8	258	61	-18	+3	+0	+1	+8	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TB	34%	316	284	66	11	2	6	26	68	3	8	2	232	304	349	652	116	281	22	8	292	84	-6	+1	+0	+1	+7	0.3
2028	24	MLB MLE	TB	46%	396	357	84	14	3	8	32	85	4	10	2	235	305	359	664	123	282	21	8	298	88	-6	+1	+0	+1	+9	0.6
2029	25	MLB MLE	TB	52%	431	387	92	16	3	9	36	92	5	10	2	238	311	364	675	127	283	21	8	301	90	-5	+1	+0	+2	+9	0.7
2030	26	MLB MLE	TB	54%	452	406	96	16	3	10	38	96	5	10	2	236	310	365	674	128	283	21	8	302	91	-5	+1	+0	+2	+10	0.8
2031	27	MLB MLE	TB	54%	456	410	96	16	3	10	38	98	5	10	2	234	307	361	668	127	283	21	8	302	91	-5	+1	+0	+2	+10	0.8
2032	28	MLB MLE	TB	54%	455	408	96	16	3	10	39	98	5	10	2	235	310	363	672	127	282	22	9	301	90	-5	+1	-1	+2	+10	0.7
2033	29	MLB MLE	TB	53%	446	400	94	16	3	10	38	97	5	9	2	235	309	365	674	130	282	22	9	299	89	-6	+1	-1	+2	+10	0.5
2034	30	MLB MLE	TB	52%	437	391	90	15	2	9	38	96	5	9	2	230	306	348	654	118	281	22	9	297	87	-7	+1	-2	+2	+9	0.3
2027	23	MLB CTX	TB	34%	109	98	23	4	1	2	9	23	1	3	1	235	306	357	663	122	289	21	8	292	84	-2	+0	+0	+0	+2	0.1
2028	24	MLB CTX	TB	46%	183	164	40	7	1	4	15	39	2	4	1	244	315	372	687	128	291	21	8	297	88	-3	+0	+0	+1	+4	0.2
2029	25	MLB CTX	TB	52%	223	201	50	9	2	5	18	48	2	5	1	249	317	388	705	139	291	22	8	300	90	-3	+1	+0	+1	+5	0.4
2030	26	MLB CTX	TB	54%	245	220	54	9	2	6	20	52	3	6	1	245	317	386	703	141	291	21	8	302	91	-3	+1	+0	+1	+5	0.4
2031	27	MLB CTX	TB	54%	247	221	54	9	2	6	21	53	3	6	1	244	318	385	703	140	291	21	9	302	91	-3	+1	+0	+1	+5	0.4
2032	28	MLB CTX	TB	54%	247	221	54	9	2	6	21	53	3	5	1	244	318	385	703	140	291	21	9	301	90	-3	+1	-0	+1	+5	0.4
2033	29	MLB CTX	TB	53%	237	213	50	9	1	5	20	52	2	5	1	235	306	357	663	122	290	22	8	299	89	-3	+1	-1	+1	+5	0.3
2034	30	MLB CTX	TB	52%	229	205	48	8	1	5	20	50	2	5	1	234	308	356	664	122	289	22	9	296	87	-4	+1	-1	+1	+5	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1720	1543	373	64	12	39	144	370	18	39	8	242	314	375	688	133	292	22	8	299	89	-23	+5	-2	+6	+37	2.4
/ 162G	—	A+C		—	650	583	142	24	5	15	54	140	7	15	3	244	315	379	694	136	295	22	8	299	89	-9	+2	-1	+2	+14	0.9
Career	—	MLE		—	3441	3090	726	122	23	72	290	739	37	81	17	235	308	359	667	124	285	21	8	300	89	-46	+9	-3	+12	+74	4.6
/ 162G	—	MLE		—	650	584	137	23	4	14	55	140	7	15	3	235	309	360	668	125	284	22	8	300	89	-9	+2	-1	+2	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#3Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.8	1,846	39	41	236	305	361	-10	+0	2.1	1.9
/162	664	14	15	-3.5	+0.0	0.7	pk7: 2
#4Travis Sniderlast yr '15 career totals — 8 seasons, 1,971 PA	3.0	1,971	54	22	244	311	399	-21	-17	1.4	1.8
/162	664	18	7	-7.1	-5.8	0.5	pk7: 2
#5Jake 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
#6Nick 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

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
Brendan Summerhill (OGILVIE)	22	57	45	55	53	224/295/324	100	278	2	5	22%	8%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dwight Smith Jr. 2015 · A	22	50→53	42→45	53→50	49	241/300/351	109	293	8	12	20%	8%	84	+0.2	239/290/342	103	290	8	9	19%	6%	78	-0.3	243/304/370	127	291	12	9	20%	7%	89	+0.4
●Sal Frelick 2022 · A	22	52→60	40	56→55	48	248/308/348	100	311	7	17	22%	8%	87	+0.4	262/323/367	105	305	7	19	16%	7%	97	+1.1	262/330/356	94	300	7	20	14%	8%	95	+0.8
✕Ryan Wheeler 2010 · A	22	49→55	45→50	48→40	47	241/312/368	127	299	12	8	23%	8%	94	+0.9	248/290/367	119	316	12	4	24%	5%	84	+0.2	253/293/380	127	317	12	4	24%	5%	88	+0.4
✕Canaan Smith-Njigba 2021 · A	22	49→50	44→45	50→55	46	235/299/356	121	318	11	10	28%	8%	86	+0.3	230/301/343	113	337	9	17	31%	9%	84	+0.1	227/299/342	115	335	9	21	32%	9%	79	-0.1
✕Erik Komatsu 2011 · A	23	54→60	41→45	51→50	51	258/323/367	109	303	7	15	17%	8%	97	+1.1	243/307/332	89	284	7	14	16%	8%	83	+0.1	220/287/302	83	261	8	14	18%	8%	68	-0.6
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4
✕Brent Morel 2009 · A	22	51→57	43→50	54→50	45	251/298/360	109	298	11	12	20%	6%	86	+0.3	251/287/380	129	292	13	12	18%	5%	86	+0.3	253/289/383	129	290	13	11	17%	4%	85	+0.2
✕Ryan Kalish 2010 · AA	22	49→51	44→50	52→55	47	239/299/356	117	304	11	14	25%	8%	86	+0.3	236/293/360	124	294	12	23	23%	7%	84	+0.2	230/283/348	118	290	11	26	24%	6%	76	-0.3
✕Michael Gigliotti 2018 · A	22	52	41→40	51→55	50	249/317/350	101	309	7	17	21%	8%	91	+0.6	233/298/319	86	307	5	20	24%	7%	77	-0.3	191/301/300	110	261	10	24	28%	11%	74	-0.2
✕Nick Senzel 2017 · A	22	48→57	45→50	51→50	46	230/295/364	133	302	10	16	26%	8%	86	+0.3	251/305/391	140	330	12	14	26%	7%	96	+1.0	256/310/402	146	332	13	16	26%	7%	97	+0.7
✕Jeff Corsaletti 2006 · A	23	57→52	41→45	49→50	49	271/323/377	106	328	8	10	20%	7%	99	+1.2	242/320/355	113	300	9	10	21%	10%	93	+0.8	237/321/354	117	293	10	10	21%	10%	92	+0.7
✕Dario Pizzano 2013 · A	22	52→56	41→50	51→40	47	247/313/352	104	316	8	5	23%	7%	90	+0.6	246/306/373	127	279	9	4	15%	8%	92	+0.7	248/309/385	137	274	9	3	13%	7%	95	+0.7
●Jemile Weeks 2009 · A	22	50→60	41→45	52→55	50	239/316/342	103	298	8	14	22%	8%	89	+0.5	247/305/360	113	295	9	16	19%	7%	88	+0.5	262/318/375	113	310	7	21	17%	7%	94	+0.7
✕Caleb Gindl 2011 · AA	22	49→54	44→50	48→50	47	239/298/363	124	299	11	10	24%	7%	87	+0.4	239/295/365	126	298	12	7	23%	7%	86	+0.3	237/294/370	133	295	13	4	23%	7%	84	+0.1
●Graham Pauley 2023 · A	22	45→51	46→55	48→50	52	226/305/358	133	270	13	12	21%	9%	89	+0.5	230/298/389	159	277	18	11	23%	8%	93	+0.8	222/292/383	160	263	19	11	23%	8%	87	+0.3
●Wade Meckler 2023 · A	23	53→63	41→40	50	52	246/327/358	112	327	7	8	25%	10%	97	+1.1	264/332/364	100	341	7	11	23%	9%	99	+1.3	265/335/357	92	340	6	12	22%	9%	95	+0.7
✕Carlos Vidal 2017 · A	21	48	43→45	49→50	48	234/302/348	114	288	10	12	22%	7%	85	+0.2	231/279/321	90	301	5	7	24%	6%	70	-0.9	236/282/326	90	306	4	6	23%	5%	69	-0.5
✕James Skelton 2008 · A	22	53→57	42→40	51→50	53	255/323/364	109	305	8	13	19%	9%	97	+1.1	234/327/323	89	310	7	13	24%	12%	89	+0.5	229/331/314	85	302	5	10	23%	12%	88	+0.1
●Domonic Brown 2010 · AA	22	51→54	46→50	53→55	47	251/308/386	135	310	13	17	23%	7%	96	+1.0	251/312/394	143	310	14	16	22%	8%	99	+1.3	251/316/410	158	287	17	11	18%	8%	101	+1.1
✕Joe McCarthy 2017 · A	23	48→50	42→45	51→50	51	231/315/339	108	292	9	14	23%	9%	88	+0.5	219/305/338	119	289	9	12	25%	10%	84	+0.2	199/280/346	148	264	17	5	30%	9%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps