Harold Coll — OGILVIE

Harold Coll3B Tri-City Dust Devils

Age 25 R/R 5'11" / 195 lbs A+ K +5%HR +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION488 act + 10 ros · stats below = ROS only

showingROS

wRC+†59

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

PA10

HR0

K%30

BB%10

BABIP253

ISO111

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 45 / POW 35

Toolsscout grade

CONTACT45

scouting grade only

POWER35

scouting grade only

EYE50

scouting grade only

SPEED55

scouting grade only

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	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
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.9M	+$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)
2025	24	A	Inland Empire 66ers	—	493	424	117	27	4	9	62	120	3	29	4	276	372	422	794	146	361	24	13	355	126	+15	+4	—	—	+11	3.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	24	A MLE	Inland Empire 66ers	—	493	443	90	19	3	8	43	159	3	29	4	203	278	314	592	111	287	32	9	261	63	-22	+4	—	—	+11	-0.7
2025	24	A MLE	Inland Empire 66ers	—	493	443	90	19	3	8	43	159	3	29	4	203	278	314	592	111	293	32	9	261	63	—	—	—	—	—	—
2025	24	A RAW	Inland Empire 66ers	—	493	424	117	27	4	9	62	120	3	29	4	276	372	422	794	146	361	24	13	355	63	—	—	—	—	—	—
2025	24	A MLE	Inland Empire 66ers	—	493	444	90	19	3	8	43	159	3	29	4	203	278	313	591	110	287	32	9	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	24	A MLE	Inland Empire 66ers	—	493	444	90	19	3	8	43	159	3	29	4	203	278	313	591	110	287	32	9	261	63	—	—	—	—	—	—
YTD	25	A+ MLE	LAA	—	488	432	72	12	2	11	40	159	11	17	10	167	255	280	535	113	229	33	8	237	46	-31	-1	+0	+2	+11	-2.0
▸ 2026 season
YTD	25	A+ RAW	LAA	—	254	207	50	8	0	11	42	61	5	5	4	242	382	440	822	198	289	24	17	371	46	—	—	—	—	—	—
YTD	25	AA RAW	LAA	—	234	203	35	7	2	3	20	60	6	12	6	172	266	271	537	99	222	26	9	246	46	—	—	—	—	—	—
ROS	25	A+ MLE	LAA	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		254	30	10	256	59	-0	+0	+0	+0	+0	-0.0
TOT	25	A+ MLE	LAA	—	498	441	73	12	2	11	41	162	11	17	10	166	254	277	530	111	228	33	8	237	47	-32	-1	+0	+2	+11	-2.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	LAA	30%	365	326	63	12	2	8	31	112	5	9	4	193	273	316	589	123	258	31	8	263	64	-16	+0	+0	+1	+8	-0.6
2028	27	MLB MLE	LAA	42%	388	346	68	13	2	9	34	117	5	9	4	197	278	324	602	127	260	30	9	268	67	-15	+0	+0	+1	+8	-0.5
2029	28	MLB MLE	LAA	48%	401	358	70	13	2	9	35	120	5	9	4	196	276	318	595	123	262	30	9	270	69	-15	+0	-1	+1	+9	-0.5
2030	29	MLB MLE	LAA	49%	400	357	70	13	2	9	35	120	5	8	4	196	277	319	596	123	262	30	9	269	68	-15	+0	-1	+1	+9	-0.7
2027	26	MLB CTX	LAA	30%	111	99	17	3	0	2	9	34	2	3	1	172	255	263	517	91	257	31	8	253	64	-5	+0	+0	+0	+2	-0.2
2028	27	MLB CTX	LAA	42%	162	145	28	5	1	4	14	49	2	4	2	193	273	324	597	131	260	30	9	258	67	-6	+0	+0	+1	+4	-0.2
2029	28	MLB CTX	LAA	48%	191	169	33	6	1	4	17	57	3	4	2	195	280	314	594	118	261	30	9	260	69	-7	+0	-0	+1	+4	-0.3
2030	29	MLB CTX	LAA	49%	197	175	34	6	1	4	17	59	3	4	2	194	277	309	585	114	261	30	9	260	68	-7	+0	-1	+1	+4	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	661	588	112	20	3	14	57	199	10	15	7	190	273	306	579	116	259	30	9	258	66	-26	+0	-1	+2	+14	-1.0
/ 162G	—	A+C		—	650	578	111	20	3	14	56	196	10	15	7	192	275	310	585	118	261	30	9	258	66	-25	+0	-1	+2	+14	-1.0
Career	—	MLE		—	2057	1839	362	70	11	43	179	631	23	64	20	197	276	317	593	120	271	31	9	266	66	-61	+1	-2	+6	+34	-2.4
/ 162G	—	MLE		—	650	581	114	22	3	14	57	199	7	20	6	196	276	317	593	120	269	31	9	266	66	-25	+0	-1	+2	+14	-1.0

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
#2Adam 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
#3Adam 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
#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	662	15	15	194	273	315	+7	+6	0.0	0.0
/162	664	15	15	+7.1	+6.0	0.0	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
Harold Coll (OGILVIE)	25	45	35	55	50	181/263/291	110	254	6	10	32%	8%	59	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nate Eaton 2022 · A	25	40→50	40→45	55→60	43	197/264/288	91	273	7	19	29%	7%	57	-1.8	216/270/336	120	285	13	28	28%	6%	71	-0.8	213/270/337	124	278	12	27	27%	6%	68	-0.7
✕Nick Vickerson 2014 · A	25	38	42→40	49→50	48	189/277/293	104	262	10	13	30%	10%	65	-1.2	203/300/302	99	285	9	11	29%	11%	76	-0.4	188/304/272	85	264	8	11	28%	12%	68	-0.6
✕J.T. Arruda 2023 · A	25	43→42	40	56→55	46	203/276/301	98	296	7	17	32%	9%	64	-1.3	204/275/292	88	289	6	20	29%	8%	62	-1.4	211/276/297	86	290	7	22	28%	8%	61	-0.9
✕Gus Milner 2009 · A	25	48→50	41→40	50	45	230/291/330	100	308	7	14	26%	7%	77	-0.3	214/265/303	89	306	7	9	31%	6%	61	-1.5	195/239/269	73	286	7	5	33%	4%	41	-2.0
✕Andres Sosa 2023 · A	25	39	42→40	52→45	47	188/290/298	110	270	9	9	31%	9%	72	-0.7	197/285/289	92	286	7	7	31%	8%	67	-1.1	185/274/262	78	273	5	4	31%	7%	54	-0.8
✕Devin Lohman 2013 · A	24	44→46	41→40	51→50	45	215/280/312	97	276	9	16	25%	7%	69	-0.9	211/266/295	84	266	7	13	23%	6%	59	-1.6	203/255/274	71	255	6	11	22%	5%	48	-1.5
✕Maverick Handley 2023 · AA	25	39	44→40	50	44	196/280/314	118	270	12	12	31%	8%	70	-0.8	201/290/289	88	281	7	11	29%	9%	68	-1.0	190/279/259	68	265	4	8	27%	9%	56	-0.7
✕Jack Dunn 2022 · A	25	50→48	38→40	53→55	47	235/298/314	79	300	6	15	23%	7%	76	-0.4	222/305/297	75	290	6	18	23%	10%	75	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕Sean Jamieson 2014 · A	25	43→45	43→45	50	44	212/278/331	119	279	10	12	27%	7%	72	-0.7	231/289/332	101	313	8	9	27%	6%	76	-0.4	234/293/322	88	321	6	7	27%	6%	72	-0.4
✕Andy Atwood 2023 · A	26	43	43→40	50	42	214/275/319	105	291	11	14	29%	7%	68	-1.0	199/252/283	84	301	6	13	34%	5%	51	-2.2	159/203/210	51	260	0	16	37%	3%	14	-1.5
✕Patrick Arlis 2006 · A	25	44	41→40	52→50	40	213/258/304	91	293	9	10	30%	6%	58	-1.7	206/266/289	83	282	6	7	27%	7%	58	-1.7	211/285/291	80	275	4	4	23%	9%	65	-0.5
✕Jacob Buchberger 2023 · AA	25	46→45	41→45	53→50	45	224/282/320	96	297	8	13	26%	7%	71	-0.8	213/274/319	106	289	11	13	28%	7%	68	-1.0	203/266/306	103	275	11	13	29%	7%	59	-1.2
✕Max George 2021 · A	25	40→38	41→45	54→55	43	195/279/294	99	285	9	20	32%	8%	65	-1.2	194/281/318	124	323	13	15	41%	8%	72	-0.7	150/259/288	138	250	17	20	43%	10%	55	-0.8
✕Matt Scheffler 2023 · AA	25	46	39→40	51→50	49	217/301/305	88	300	7	11	28%	9%	76	-0.4	208/290/284	76	289	5	13	27%	8%	67	-1.1	175/266/217	42	250	2	14	28%	8%	42	-1.3
✕Brent Diaz 2021 · A	25	43	42→40	47→45	46	206/287/311	105	296	9	9	31%	9%	72	-0.7	206/275/320	114	300	12	8	34%	6%	70	-0.8	181/252/284	103	266	13	7	35%	5%	50	-0.8
✕Taylor Young 2023 · A	24	50→46	41→40	57→60	52	233/326/331	99	319	8	18	27%	11%	91	+0.7	206/290/286	80	288	5	33	28%	9%	68	-1.0	219/295/286	67	293	4	33	24%	8%	65	-1.0
✕Tyler Reichenborn 2023 · A	25	41→43	40→45	47→50	45	199/275/284	85	276	8	13	29%	8%	61	-1.5	209/281/317	108	288	11	11	29%	8%	71	-0.8	172/253/309	136	226	17	8	31%	9%	57	-0.5
✕Joseph Bonadonna 2011 · A	25	48	40→45	51→50	45	228/293/326	98	310	6	13	27%	8%	76	-0.4	203/263/290	87	288	6	15	30%	6%	57	-1.8	149/210/199	50	213	4	22	31%	5%	15	-1.5
✕Mycal Jones 2012 · AA	25	43→47	43→45	50→55	43	213/274/330	117	280	10	15	27%	7%	71	-0.8	212/269/297	85	273	6	21	23%	6%	61	-1.5	224/284/303	79	284	5	24	22%	7%	65	-0.7
✕Zach Humphreys 2023 · AA	25	46	43→40	49→50	52	222/306/327	105	293	10	12	26%	10%	82	+0.0	205/280/296	91	282	7	15	27%	9%	65	-1.2	186/265/255	69	260	4	15	28%	9%	49	-0.9

Career Stats + Projections

Career Comps

Career Path Comps