Harold Coll — OGILVIE

Harold CollSS Rocket City Trash Pandas

Age 25 R/R 5'11" / 195 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034 peak 0.9 · 2028

wRC+†73

AVG/OBP/SLG.211 / .284 / .330

PA320

HR6

SB11

K%30

BB%8

MLB%2%

Scouting · now → future

HIT

45→45

PWR

35→35

SPD

55→55

EYE

51↘50

trajectory · 10 yrs

0.9peak

2028

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	Arb-1	$0.8M	+0.9	$4M	+$3M
2030	Arb-2	$0.9M	+0.8	$4M	+$3M
2031	Arb-3	$0.9M	+0.6	$3M	+$2M
2032	Ext / FA-deal	$0.8M	+0.3	$1M	+$0.6M
2033	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$11M	+$7M

Career Projections (MLE)

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	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
2025	24	A	Inland Empire 66ers	493	443	90	19	3	8	43	159	3	29	4	.203	.278	.314	.592	.111	.293	32	9	.260	57	-24	+4	+0	+5	+14	-0.0
▸ 2026 Season (actual · ROS · total)
2026	25	AA	Rocket City Trash Pandas	76	63	12	2	1	2	5	23	6	4	2	.190	.311	.349	.660	.159	.250	30	7	.277	70	-3	+0	+0	+1	+2	0.0
ROS	25	MLB	LAA	244	217	46	9	2	5	20	72	5	7	2	.212	.293	.341	.634	.129	.284	30	8	.282	74	-7	+1	+0	+3	+7	0.3
TOT	25	MLB	LAA	320	280	58	11	3	7	25	95	11	11	4	.207	.297	.343	.640	.136	.282	30	8	.281	73	-10	+1	+0	+3	+9	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 11%	LAA	365	323	70	14	2	8	32	90	7	9	3	.217	.301	.347	.648	.130	.271	25	9	.293	82	-7	+1	+0	+4	+10	0.8
2028	27	MLB 26%	LAA	388	344	75	15	2	9	34	95	7	9	3	.218	.301	.352	.653	.134	.272	24	9	.295	84	-7	+1	+0	+4	+11	0.9
2029	28	MLB 38%	LAA	401	355	77	15	2	9	36	99	7	9	2	.217	.302	.346	.648	.130	.273	25	9	.295	84	-7	+1	-1	+4	+11	0.9
2030	29	MLB 47%	LAA	400	354	77	15	2	9	36	99	7	8	2	.218	.302	.347	.650	.130	.273	25	9	.294	83	-8	+1	-1	+4	+11	0.8
2031	30	MLB 56%	LAA	398	353	76	15	2	9	35	100	7	8	2	.215	.299	.346	.644	.130	.271	25	9	.291	81	-9	+1	-2	+4	+11	0.6
2032	31	MLB 66%	LAA	387	343	72	14	2	8	34	99	7	7	2	.210	.294	.332	.627	.122	.270	26	9	.287	78	-10	+1	-3	+4	+11	0.3
2033	32	MLB 76%	LAA	370	328	68	13	2	7	33	97	6	6	1	.207	.292	.323	.615	.116	.268	26	9	.282	74	-11	+1	-4	+4	+10	0.1
2034	33	MLB 83%	LAA	341	302	62	12	2	6	30	91	6	5	1	.205	.290	.318	.608	.113	.267	27	9	.277	70	-11	+1	-4	+4	+10	-0.2
2035	34	MLB 90%	LAA	298	265	53	10	2	5	26	82	5	5	0	.200	.284	.309	.593	.109	.265	28	9	.271	65	-12	+1	-5	+3	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4085	3627	766	151	23	83	359	1083	67	102	22	.211	.294	.334	.628	.123	.275	27	9	.284	76	-112	+12	-20	+44	+116	4.0
/ 162G	—			650	577	122	24	4	13	57	172	11	16	4	.211	.295	.334	.630	.123	.275	26	9	.284	76	-18	+2	-3	+7	+18	0.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	130	+17	+4	—	—	+14	3.5

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	.211/.284/.330	.119	.290	6	7	30%	8%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sean Jamieson 2014 · A	25	44→46	44→45	51→50	45	.214/.283/.334	.120	.278	10	12	26%	7%	72	-0.2	.229/.289/.338	.109	.309	9	9	27%	6%	75	-0.0	.230/.289/.325	.094	.319	7	7	28%	6%	68	-0.2
✕Jonathan Davis 2017 · A	25	42→52	45	54→55	45	.208/.292/.339	.130	.288	12	20	30%	8%	78	+0.2	.222/.302/.340	.118	.293	10	19	26%	8%	82	+0.5	.225/.305/.340	.115	.292	10	20	25%	7%	80	+0.3
✕Jake Lemmerman 2014 · AA	25	44→50	42→45	51→45	46	.213/.290/.322	.110	.290	10	10	28%	8%	72	-0.2	.194/.266/.303	.109	.276	10	9	31%	8%	57	-1.2	.146/.218/.245	.099	.206	10	4	33%	8%	20	-1.6
✕Jack Dunn 2022 · A	25	49→48	39→40	53→55	47	.235/.298/.317	.083	.300	6	15	23%	7%	73	-0.1	.225/.305/.302	.077	.297	6	18	24%	9%	73	-0.1	.215/.308/.291	.076	.277	7	21	23%	10%	70	-0.3
✕Jackson Brennan 2008 · A	25	44→42	42→45	47→50	48	.213/.305/.319	.106	.285	9	10	27%	8%	79	+0.3	.210/.298/.299	.089	.297	7	10	29%	9%	70	-0.3	.167/.282/.184	.017	.264	0	6	32%	12%	32	-0.6
✕Anthony Prato 2023 · AA	25	48→49	41→45	52→55	46	.224/.306/.329	.104	.320	7	15	30%	9%	80	+0.4	.214/.309/.324	.110	.293	9	17	27%	10%	82	+0.5	.204/.313/.306	.103	.273	8	21	25%	11%	75	+0.0
✕Brett Harris 2022 · A	24	45→50	45	49→50	43	.220/.290/.339	.119	.296	12	11	29%	7%	76	+0.1	.239/.311/.381	.142	.289	16	10	22%	8%	96	+1.5	.236/.316/.369	.133	.284	15	9	22%	8%	91	+0.9
✕Joe Bennie 2016 · A	25	46→53	42→45	48→45	45	.215/.288/.325	.110	.318	8	9	33%	9%	71	-0.3	.232/.292/.344	.112	.337	10	6	32%	7%	78	+0.2	.248/.303/.361	.113	.350	11	4	30%	6%	82	+0.5
✕William Simoneit 2022 · A	25	47	45	50→45	43	.228/.295/.350	.122	.319	13	9	31%	8%	81	+0.4	.210/.287/.330	.120	.313	12	6	34%	8%	73	-0.1	.182/.264/.300	.118	.285	12	4	38%	7%	54	-0.6
✕Tim Torres 2009 · A	25	47→50	45	50→55	46	.231/.291/.356	.125	.303	12	13	27%	8%	80	+0.4	.229/.290/.346	.117	.311	10	14	28%	8%	78	+0.2	.258/.326/.391	.133	.344	13	21	27%	9%	103	+0.8
✕Daniel Lyons 2010 · A	25	43→46	40→45	51→50	49	.208/.290/.307	.098	.265	7	15	23%	8%	69	-0.4	.196/.281/.273	.077	.269	4	12	26%	9%	56	-1.3	.173/.270/.224	.051	.247	2	11	27%	10%	38	-1.5
✕Gus Milner 2009 · A	25	48	41→40	50	45	.228/.287/.329	.101	.302	8	13	26%	7%	72	-0.2	.214/.266/.304	.090	.307	7	10	31%	6%	56	-1.3	.196/.241/.270	.075	.291	7	5	34%	4%	35	-1.9
✕Tommy Field 2011 · A	24	46→50	44→45	49→45	44	.226/.295/.345	.120	.292	12	10	26%	7%	80	+0.4	.226/.291/.346	.120	.292	12	8	26%	7%	79	+0.3	.222/.292/.351	.128	.278	13	7	24%	7%	78	+0.2
✕Anthony Granato 2006 · A	25	50→52	39→40	53→55	51	.234/.312/.322	.088	.311	6	17	25%	10%	80	+0.4	.222/.303/.314	.092	.309	7	18	27%	10%	75	-0.0	.179/.288/.250	.072	.261	5	31	30%	12%	53	-0.3
✕Andres Sosa 2023 · A	25	39	42→40	52→45	46	.191/.291/.300	.109	.275	9	9	31%	9%	69	-0.4	.196/.285/.288	.092	.287	7	7	32%	8%	63	-0.9	.183/.273/.260	.077	.276	6	4	33%	7%	47	-0.7
✕Cody Cipriano 2009 · A	24	40→48	45	55→45	45	.200/.270/.330	.131	.263	12	11	28%	8%	66	-0.6	.219/.288/.332	.113	.309	9	8	30%	8%	73	-0.1	.225/.299/.333	.108	.319	8	7	29%	8%	76	+0.0
✕Jeferson Morales 2023 · A	24	39→46	46→45	49→50	44	.197/.277/.329	.131	.260	14	9	29%	7%	69	-0.4	.215/.289/.346	.131	.275	13	9	25%	7%	78	+0.2	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2
✕Brian Finegan 2007 · A	25	50→51	41→40	52→50	44	.239/.294/.341	.103	.297	8	14	22%	6%	78	+0.2	.219/.277/.306	.087	.298	7	13	27%	6%	62	-0.9	.204/.264/.278	.073	.286	6	13	29%	6%	47	-0.8
✕Luis Santana 2023 · A	24	44	45	48→50	42	.218/.280/.341	.124	.281	13	11	27%	6%	73	-0.1	.212/.267/.334	.122	.269	14	7	26%	5%	66	-0.6	.195/.248/.310	.116	.241	15	5	25%	5%	48	-1.0
✕Vito Friscia 2022 · A	25	45	42→45	51→40	44	.212/.289/.319	.107	.324	10	5	35%	9%	71	-0.3	.213/.297/.339	.126	.316	13	4	34%	10%	80	+0.4	.194/.287/.324	.130	.279	14	0	33%	11%	69	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)