Roberto Campos — OGILVIE

Roberto CamposRF Erie SeaWolves

Age 23 R/R 6'3" / 200 lbs AA HR -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION152 act + 22 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG.200 / .273 / .250

PA22

HR0

K%27

BB%9

BABIP297

ISO50

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE40

scouting grade only

SPEED45

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	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
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		$-2M	+$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)
2021	18	ROK	FCL Tigers West	—	155	136	31	5	0	8	17	41	1	3	0	228	318	441	759	213	261	26	11	335	113	+2	+1	—	—	+3	0.6
2022	19	A	Lakeland Flying Tigers	—	448	403	104	26	5	5	40	97	2	7	3	258	328	385	713	127	326	22	9	319	102	+1	+0	—	—	+10	1.1
2023	20	A+	West Michigan Whitecaps	—	371	339	87	22	5	5	28	81	1	4	2	257	315	395	710	139	320	22	8	315	99	-0	+0	—	—	+8	0.8
2024	21	A+	West Michigan Whitecaps	—	484	426	116	25	5	10	41	112	8	11	2	272	346	425	771	153	341	23	8	339	116	+9	+1	—	—	+10	2.1
2025	22	AA	Erie SeaWolves	—	403	360	86	22	3	4	36	101	1	5	1	239	307	350	657	111	318	25	9	295	86	-7	+1	—	—	+9	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	FCL Tigers West	—	155	143	22	3	0	6	10	58	1	3	0	154	214	301	515	147	205	37	6	231	42	-11	+1	—	—	+3	-0.7
2022	19	A MLE	Lakeland Flying Tigers	—	448	414	90	24	4	3	29	140	2	7	3	217	272	316	588	99	314	31	6	260	62	-20	+0	—	—	+10	-1.1
2023	20	A+ MLE	West Michigan Whitecaps	—	371	347	73	18	3	4	20	109	1	4	2	210	255	314	570	104	287	29	5	251	56	-19	+0	—	—	+8	-1.2
2024	21	A+ MLE	West Michigan Whitecaps	—	484	440	95	21	4	9	29	158	8	11	2	216	277	343	620	127	298	33	6	268	68	-19	+1	—	—	+10	-0.7
2025	22	AA MLE	Erie SeaWolves	—	403	375	77	18	2	3	24	119	1	5	1	205	255	288	543	83	287	30	6	243	51	-24	+1	—	—	+9	-1.5
2021	18	ROK MLE	FCL Tigers West	—	155	143	22	3	0	6	10	58	1	3	0	154	214	301	515	147	200	37	6	231	42	—	—	—	—	—	—
2021	18	ROK RAW	FCL Tigers West	—	155	136	31	5	0	8	17	41	1	3	0	228	318	441	759	213	261	26	11	335	42	—	—	—	—	—	—
2022	19	A MLE	Lakeland Flying Tigers	—	448	414	90	24	4	3	29	140	2	7	3	217	272	316	588	99	318	31	6	260	62	—	—	—	—	—	—
2022	19	A RAW	Lakeland Flying Tigers	—	448	403	104	26	5	5	40	97	2	7	3	258	328	385	713	127	326	22	9	319	62	—	—	—	—	—	—
2023	20	A+ MLE	West Michigan Whitecaps	—	371	347	73	18	3	4	20	109	1	4	2	210	255	314	570	104	291	29	5	251	56	—	—	—	—	—	—
2023	20	A+ RAW	West Michigan Whitecaps	—	371	339	87	22	5	5	28	81	1	4	2	257	315	395	710	139	320	22	8	315	56	—	—	—	—	—	—
2024	21	A+ MLE	West Michigan Whitecaps	—	484	440	95	21	4	9	29	158	8	11	2	216	277	343	620	127	307	33	6	268	68	—	—	—	—	—	—
2024	21	A+ RAW	West Michigan Whitecaps	—	484	426	116	25	5	10	41	112	8	11	2	272	346	425	771	153	341	23	8	339	68	—	—	—	—	—	—
2025	22	AA MLE	Erie SeaWolves	—	403	375	77	18	2	3	24	119	1	5	1	205	255	288	543	83	289	30	6	243	51	—	—	—	—	—	—
2025	22	AA RAW	Erie SeaWolves	—	403	360	86	22	3	4	36	101	1	5	1	239	307	350	657	111	318	25	9	295	51	—	—	—	—	—	—
2021	18	ROK MLE	FCL Tigers West	—	155	143	22	3	0	6	10	58	1	3	0	154	214	301	515	147	205	37	6	231	42	—	—	—	—	—	—
2022	19	A MLE	Lakeland Flying Tigers	—	448	414	90	24	4	3	29	140	2	7	3	217	272	316	588	99	314	31	6	260	62	—	—	—	—	—	—
2023	20	A+ MLE	West Michigan Whitecaps	—	371	347	73	18	3	4	20	109	1	4	2	210	255	314	570	104	287	29	5	251	56	—	—	—	—	—	—
2024	21	A+ MLE	West Michigan Whitecaps	—	484	444	95	21	4	9	29	158	8	11	2	214	277	340	617	126	298	33	6	268	68	—	—	—	—	—	—
2025	22	AA MLE	Erie SeaWolves	—	403	375	77	18	2	3	24	119	1	5	1	205	255	288	543	83	287	30	6	243	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A+ MLE	West Michigan Whitecaps	—	371	347	73	18	3	4	20	109	1	4	2	210	255	314	570	104	287	29	5	251	56	—	—	—	—	—	—
2024	21	A+ MLE	West Michigan Whitecaps	—	484	444	95	21	4	9	29	158	8	11	2	214	277	340	617	126	298	33	6	268	68	—	—	—	—	—	—
2025	22	AA MLE	Erie SeaWolves	—	403	375	77	18	2	3	24	119	1	5	1	205	255	288	543	83	287	30	6	243	51	—	—	—	—	—	—
YTD	23	AA MLE	DET	—	152	134	35	4	2	2	18	41	0	2	1	261	349	366	714	104	363	27	12	302	91	-2	+0	+0	-2	+3	-0.0
▸ 2026 season
YTD	23	A RAW	DET	—	17	14	3	0	0	0	3	2	0	0	0	214	353	214	567		250	12	18	283	91	—	—	—	—	—	—
YTD	23	A+ RAW	DET	—	51	42	14	0	1	0	9	11	0	0	1	333	451	381	832	48	452	22	18	385	91	—	—	—	—	—	—
YTD	23	AA RAW	DET	—	84	71	20	4	1	2	13	19	0	2	0	282	393	451	844	169	360	23	15	378	91	—	—	—	—	—	—
ROS	23	AA MLE	DET	2%	22	20	4	1	0	0	2	6	0	0	0	200	273	250	523	50	302	27	9	273	71	-1	+0	+0	-0	+0	-0.1
TOT	23	AA MLE	DET	—	174	154	39	5	2	2	20	47	0	2	1	253	339	351	690	97	352	27	11	298	88	-2	+0	+0	-2	+4	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	31%	459	418	93	18	3	7	36	125	2	5	1	222	287	330	617	108	299	27	8	281	77	-13	+1	+0	-5	+10	-0.7
2028	25	MLB MLE	DET	45%	491	446	102	19	4	9	39	131	3	6	2	229	295	350	645	121	299	27	8	288	81	-11	+0	+0	-5	+11	-0.5
2029	26	MLB MLE	DET	51%	508	459	106	20	4	10	41	135	3	6	2	231	298	357	656	126	299	27	8	291	83	-10	+0	+0	-5	+11	-0.4
2030	27	MLB MLE	DET	53%	514	464	107	20	4	10	42	136	3	6	2	231	299	356	654	125	298	26	8	292	84	-10	+0	+0	-6	+11	-0.4
2031	28	MLB MLE	DET	53%	514	464	106	20	4	10	42	137	3	6	2	228	297	353	650	125	297	27	8	291	83	-10	+0	-1	-6	+11	-0.5
2027	24	MLB CTX	DET	31%	142	129	28	5	1	2	11	39	1	2	0	217	284	318	602	101	295	27	8	273	77	-4	+0	+0	-2	+3	-0.2
2028	25	MLB CTX	DET	45%	219	199	45	8	2	4	17	59	1	3	1	226	290	347	637	121	294	27	8	279	81	-5	+0	+0	-2	+5	-0.2
2029	26	MLB CTX	DET	51%	259	234	53	10	2	5	21	69	2	3	1	226	296	350	646	124	294	27	8	282	83	-5	+0	+0	-3	+6	-0.2
2030	27	MLB CTX	DET	53%	270	244	55	10	2	5	22	72	2	3	1	225	295	344	639	119	293	27	8	283	84	-5	+0	+0	-3	+6	-0.2
2031	28	MLB CTX	DET	53%	274	247	55	10	2	5	23	73	2	3	1	223	294	340	634	117	293	27	8	282	83	-6	+0	-0	-3	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1164	1053	236	43	9	21	94	312	8	14	4	224	293	342	635	118	297	27	8	281	72	-25	+1	-0	-12	+25	-1.1
/ 162G	—	A+C		—	650	588	132	24	5	12	52	174	4	8	2	224	291	344	635	119	296	27	8	281	72	-14	+1	-0	-7	+14	-0.6
Career	—	MLE		—	4369	3990	875	182	32	71	314	1254	27	59	17	219	281	334	615	115	298	29	7	274	72	-55	+2	-1	-27	+54	-2.7
/ 162G	—	MLE		—	650	594	131	27	5	11	47	187	4	9	3	221	282	338	621	118	300	29	7	274	72	-14	+1	-0	-7	+14	-0.7

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
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#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
#4Dayan Viciedolast yr '14 career totals — 5 seasons, 1,798 PA	2.7	1,798	66	2	254	298	424	-18	-29	0.3	0.3
/162	664	24	1	-6.6	-10.7	0.1	pk7: 0
#5Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.8	1,170	22	14	229	293	351	-13	-2	-0.3	-0.2
/162	664	13	8	-7.1	-1.1	-0.2	pk7: 0
#6Domonic Brownlast yr '15 career totals — 6 seasons, 1,748 PA	2.6	1,748	54	23	246	305	405	-19	-39	-1.1	-1.1
/162	664	21	9	-7.1	-14.7	-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
Roberto Campos (OGILVIE)	23	40	35	45	40	219/282/319	100	302	4	4	28%	8%	71	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Allen Córdoba 2019 · MLB	23	42→52	40→45	47→55	40	208/258/301	94	279	8	10	28%	5%	57	-1.8	234/290/336	102	299	8	17	23%	5%	78	-0.3	236/299/336	100	294	8	22	21%	5%	79	-0.1
✕Luis Vázquez 2023 · AAA	23	42→46	41→45	45→50	39	209/255/305	96	283	9	11	29%	5%	57	-1.8	226/286/347	121	297	13	9	27%	6%	79	-0.2	227/293/349	122	296	14	8	27%	6%	79	-0.1
✕Matt Fiedler 2018 · A	23	47	40→45	47→50	43	227/280/323	97	296	7	8	25%	6%	71	-0.8	220/274/332	112	287	11	9	26%	6%	71	-0.8	206/256/336	130	248	15	10	24%	5%	62	-0.4
✕Jaime Trejo 2007 · AA	23	37→32	37→40	45→50	34	185/220/251	65	273	6	6	34%	4%	31	-3.7	223/273/318	95	279	8	9	22%	5%	67	-1.1	258/318/352	94	301	9	13	17%	6%	90	+0.3
✕Dante Bichette Jr. 2016 · AA	23	43→47	40→45	40	42	209/260/302	93	277	7	2	27%	6%	58	-1.7	226/285/321	95	290	8	4	23%	7%	72	-0.7	237/296/327	90	294	7	3	21%	7%	75	-0.3
✕Kevin Heller 2013 · A	23	45→47	37→45	45→50	44	212/274/291	79	299	4	6	29%	8%	61	-1.5	204/278/296	92	304	7	10	33%	7%	65	-1.2	200/283/297	97	301	9	12	33%	7%	65	-0.7
✕Luis Santana 2022 · AA	23	40	43→45	47→50	40	201/259/308	107	270	11	10	29%	6%	60	-1.6	217/276/340	123	279	13	9	26%	6%	74	-0.5	208/269/326	118	262	13	7	25%	5%	65	-0.7
✕Cam Balego 2018 · A	23	45→40	39→45	41→30	45	215/281/311	97	293	5	6	27%	7%	69	-0.9	209/278/303	94	276	8	3	26%	6%	67	-1.1	201/277/296	95	259	11	1	26%	7%	63	-0.7
✕Kevin Flores 2008 · AAA	23	45→50	41→40	47→45	42	220/264/321	101	277	9	10	24%	5%	64	-1.3	225/273/305	80	285	5	8	22%	6%	63	-1.3	267/309/348	81	315	7	1	17%	5%	83	+0.1
✕Ray Chang 2007 · AAA	23	43→53	42→40	45→40	43	212/272/315	103	278	9	5	27%	6%	66	-1.1	227/283/325	98	284	6	4	21%	5%	72	-0.7	254/313/347	92	297	6	1	15%	6%	86	+0.2
✕Andre Lipcius 2021 · A	23	47→49	39→45	46→45	44	222/276/309	88	298	6	7	27%	7%	66	-1.1	225/293/345	120	282	11	7	23%	9%	81	-0.1	229/301/358	129	284	15	7	24%	9%	85	+0.2
✕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
✕Claudio Finol 2023 · AA	23	38	37→40	50→45	40	186/240/263	77	257	4	8	28%	6%	42	-2.9	207/267/299	92	292	8	10	30%	7%	61	-1.5	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Jonathan Davis 2015 · A	23	43→52	40→45	49→55	43	207/275/310	103	274	6	7	26%	6%	67	-1.1	211/287/326	115	287	9	17	28%	8%	75	-0.5	219/301/335	116	286	10	22	25%	8%	80	-0.1
✕Gabriel Guerrero 2017 · AAA	23	40→50	42→45	50	37	202/235/308	106	272	9	9	29%	4%	50	-2.3	223/252/327	104	300	9	5	28%	4%	61	-1.5	226/252/330	103	307	10	4	29%	3%	59	-1.3
✕Jake Rucker 2023 · AAA	23	42→43	42→45	48→45	44	204/281/312	109	285	8	12	30%	8%	70	-0.9	208/266/309	101	272	9	9	25%	6%	63	-1.4	210/274/329	118	244	13	9	20%	7%	68	-0.6
✕Ivan Jimenez 2016 · AAA	23	48	41→40	46→55	41	229/276/326	97	307	8	10	28%	6%	70	-0.9	248/301/334	86	321	5	15	23%	6%	81	-0.1	266/330/343	77	341	2	18	21%	7%	89	+0.2
✕Dorssys Paulino 2018 · AA	23	49	42→45	47→45	44	235/291/337	102	310	9	8	26%	7%	78	-0.3	220/285/332	112	289	11	7	26%	8%	75	-0.5	181/259/298	118	221	13	0	24%	10%	55	-0.5
●Justice Bigbie 2022 · A	23	44→54	40→45	49→45	43	210/273/303	93	298	8	5	31%	8%	64	-1.3	238/297/341	103	324	8	5	27%	6%	82	-0.0	252/308/357	105	305	11	5	20%	7%	87	+0.3
✕Jeremy Farrell 2010 · A	23	45→38	41→45	43→45	40	215/275/310	95	303	8	4	30%	6%	66	-1.1	226/288/335	109	310	9	6	28%	6%	77	-0.3	219/285/319	100	302	8	5	28%	6%	69	-0.5

Career Stats + Projections

Career Comps

Career Path Comps