Colin Summerhill

Colin SummerhillC Inland Empire 66ers

Age 24 R/R 6'2" / 205 lbs A K +7%HR -5% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 320 proj PA

wRC+†61

AVG/OBP/SLG.195 / .271 / .287

PA26

HR0

K%27

BB%9

ISO92

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 30 / POW 30

Toolsscout grade

CONTACT30

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 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	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	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)
2025	23	A+	Tri-City Dust Devils	—	98	85	19	6	0	2	13	22	0	0	1	224	327	365	691	141	279	22	13	315	99	-0	-0	—	—	+2	0.2
2025	23	A	Inland Empire 66ers	—	337	284	61	19	0	4	43	83	4	3	1	215	326	324	650	109	284	25	13	297	87	-5	+0	—	—	+7	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A+ MLE	Tri-City Dust Devils	—	98	90	14	4	0	2	8	30	0	0	1	156	224	267	491	111	218	31	8	219	34	-8	-0	—	—	+2	-0.6
2025	23	A MLE	Inland Empire 66ers	—	337	297	46	13	0	3	30	110	4	3	1	155	242	229	471	74	222	33	9	218	34	-27	+0	—	—	+7	-1.9
2025	23	A MLE	2 teams	—	435	386	61	18	0	5	39	140	4	3	2	158	242	244	486	85	229	32	9	218	34	—	—	—	—	—	—
2025	23	A RAW	2 teams	—	435	369	80	25	0	6	56	105	4	3	2	217	326	333	660	117	282	24	13	301	34	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	435	389	61	18	0	5	39	140	4	3	2	157	242	242	484	85	221	32	9	218	34	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A MLE	2 teams	—	435	389	61	18	0	5	39	140	4	3	2	157	242	242	484	85	221	32	9	218	34	—	—	—	—	—	—
▸ 2026 season
2026	24	MLB MLE	SEA	0%	26	24	4	1	0	0	2	7	0	0	0	167	231	208	439	42	266	27	8	258	61	-1	+0	+0	+0	+1	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SEA	30%	363	326	66	14	2	5	31	97	3	5	2	202	278	304	581	101	269	27	9	267	67	-14	+0	+0	+6	+8	0.0
2028	26	MLB MLE	SEA	44%	402	360	75	16	2	7	35	106	4	5	2	208	286	322	608	114	271	26	9	273	71	-14	+0	+0	+7	+9	0.2
2029	27	MLB MLE	SEA	49%	416	372	77	16	2	7	37	109	4	6	2	207	286	317	603	110	272	26	9	276	73	-13	+0	+0	+7	+9	0.3
2030	28	MLB MLE	SEA	51%	423	378	79	17	2	7	38	111	4	5	2	209	288	320	608	111	272	26	9	276	73	-14	+0	-1	+8	+9	0.3
2031	29	MLB MLE	SEA	51%	419	375	77	16	2	7	37	111	4	5	2	205	284	315	598	109	271	26	9	274	72	-14	+0	-1	+7	+9	0.1
2032	30	MLB MLE	SEA	51%	413	369	76	16	2	7	37	110	4	5	2	206	285	317	602	111	269	27	9	271	70	-15	+0	-2	+7	+9	-0.0
2027	25	MLB CTX	SEA	30%	109	98	19	4	0	2	9	29	1	1	0	194	269	296	564	102	266	27	8	259	67	-4	+0	+0	+2	+2	0.0
2028	26	MLB CTX	SEA	44%	177	158	33	7	1	3	15	47	2	2	1	209	286	323	608	114	268	27	8	264	71	-6	+0	+0	+3	+4	0.1
2029	27	MLB CTX	SEA	49%	204	182	38	8	1	4	18	54	2	3	1	209	287	330	617	121	269	26	9	267	73	-7	+0	+0	+4	+4	0.2
2030	28	MLB CTX	SEA	51%	218	195	40	8	1	4	19	57	2	3	1	205	282	318	600	113	269	26	9	267	73	-7	+0	-0	+4	+5	0.1
2031	29	MLB CTX	SEA	51%	216	193	40	8	1	4	19	57	2	3	1	207	285	321	606	114	268	26	9	265	72	-7	+0	-1	+4	+5	0.1
2032	30	MLB CTX	SEA	51%	213	190	38	8	1	3	19	57	2	3	1	200	280	300	580	100	267	27	9	262	70	-8	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1137	1016	208	43	5	20	99	301	11	15	5	205	282	316	598	111	268	26	9	264	65	-39	+1	-2	+20	+25	0.5
/ 162G	—	A+C		—	650	581	119	25	3	11	57	172	6	9	3	205	283	315	598	110	269	26	9	264	65	-22	+1	-1	+12	+14	0.3
Career	—	MLE		—	2897	2590	515	114	12	45	256	791	27	34	14	199	278	304	582	105	266	27	9	265	65	-85	+1	-4	+44	+53	0.9
/ 162G	—	MLE		—	650	581	116	26	3	10	57	177	6	8	3	200	278	306	584	107	266	27	9	265	65	-23	+0	-1	+12	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#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
#3Ronny 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
#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 4 projected seasons	2.2	1,456	23	19	206	280	312	+26	+16	1.3	1.3
/162	664	11	9	+11.9	+7.3	0.6	pk7: 1
#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
Colin Summerhill (OGILVIE)	24	30	30	40	50	195/271/287	92	266	4	4	27%	9%	61	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Stephen McGee 2015 · A	24	41	36→40	44→30	48	195/279/260	65	269	4	4	27%	9%	57	-1.8	202/281/288	86	287	7	4	29%	9%	64	-1.3	198/284/292	94	281	8	1	30%	10%	64	-0.5
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Adam Weisenburger 2013 · AA	24	43	36→40	43→30	46	202/277/267	66	268	4	5	25%	8%	58	-1.7	217/296/304	87	281	6	4	23%	8%	74	-0.6	216/301/298	83	274	6	2	21%	8%	72	-0.3
✕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
✕Eric Yang 2022 · A	24	39	39→40	44→40	46	184/282/268	84	271	6	6	31%	9%	61	-1.5	191/268/269	78	288	5	6	33%	8%	55	-1.9	178/263/231	54	280	4	1	35%	9%	43	-0.6
✕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
✕D.K. Carey 2016 · A	24	41→38	41→40	42→45	47	200/269/293	93	257	9	7	25%	8%	61	-1.5	190/267/282	92	273	8	6	31%	9%	57	-1.8	170/255/254	84	250	7	4	32%	10%	45	-1.5
✕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
✕Chadd Krist 2015 · A	25	40	41→40	44→45	42	196/258/292	96	269	8	6	29%	7%	56	-1.9	194/248/291	97	281	9	6	32%	6%	52	-2.2	151/202/238	87	213	10	0	34%	5%	19	-1.4
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/280/293	102	262	10	6	29%	9%	65	-1.2	199/277/327	128	250	14	10	25%	7%	72	-0.7	186/267/323	137	222	16	12	24%	7%	65	-0.7
✕Bubba Hollins 2019 · A	23	38	39→30	44→45	43	187/256/267	80	242	7	6	25%	6%	51	-2.3	209/267/290	81	272	5	4	24%	6%	59	-1.7	204/266/276	72	272	4	3	25%	6%	53	-0.9
✕Chase Pinder 2021 · AA	25	40	39→45	40→45	44	192/269/271	79	282	7	5	32%	8%	56	-1.9	217/307/343	126	285	13	8	26%	10%	87	+0.4	222/324/360	138	289	14	11	26%	12%	95	+0.5
✕J.J. Franco 2017 · A	25	41	36→30	37→45	42	194/247/257	62	260	3	5	26%	6%	43	-2.8	213/282/268	55	298	2	6	26%	9%	59	-1.6	217/294/253	36	302	0	4	26%	10%	58	-0.6
✕Brian Ward 2011 · A	25	41	36→40	43→45	47	193/272/257	64	268	4	6	28%	8%	54	-2.0	218/284/303	85	271	6	8	20%	7%	68	-1.0	224/288/309	84	270	6	8	18%	7%	69	-0.4
✕Ricardo Valenzuela 2016 · A	25	40	38→30	44→50	45	195/252/270	76	246	5	5	23%	6%	49	-2.4	213/266/271	58	259	4	3	18%	7%	53	-2.1	224/272/272	48	261	5	0	16%	6%	54	-0.7
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-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
✕Nick Fortes 2021 · A	24	40→44	39→45	46→45	46	196/260/283	87	248	6	5	23%	7%	55	-2.0	222/288/345	123	257	14	8	19%	6%	80	-0.2	219/286/341	122	248	15	8	18%	6%	76	-0.2
✕Richard Mercado 2007 · A	24	40	37→45	45→30	41	195/242/273	78	270	4	5	29%	6%	45	-2.7	211/263/296	85	276	6	4	24%	6%	58	-1.7	210/263/287	77	267	6	0	23%	6%	55	-0.7

Career Stats + Projections

Career Comps

Career Path Comps