Pedro Ibarguen — OGILVIE

Pedro IbarguenRF Wilson Warbirds

Age 20 R/R 5'10" / 180 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION335 act + 9 ros · stats below = ROS only

showingROS

wRC+†64

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP280

ISO78

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · ContractCON 34 / POW 40

Toolsscout grade

CONTACT34

scouting grade only

POWER40

scouting grade only

EYE60

scouting grade only

SPEED62

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$3M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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)
2023	17	ROK	DSL Brewers 2	—	167	132	41	7	1	3	25	32	7	7	7	311	445	447	892	136	380	19	15	399	156	+11	-1	—	—	+4	1.4
2024	18	ROK	ACL Brewers	—	145	114	18	1	1	0	26	43	1	9	2	158	319	184	503	26	240	30	18	250	55	-8	+1	—	—	+3	-0.4
2025	19	A	Carolina Mudcats	—	68	56	15	0	0	1	11	16	1	6	1	268	397	321	718	54	359	24	16	341	117	+1	+1	—	—	+1	0.4
2025	19	ROK	ACL Brewers	—	106	89	27	4	2	2	16	15	1	12	4	303	415	461	876	157	347	14	15	393	152	+7	+1	—	—	+2	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Brewers 2	—	167	141	30	5	1	1	16	45	7	7	7	213	323	284	607	71	282	27	10	272	70	-6	-1	—	—	+4	-0.4
2024	18	ROK MLE	ACL Brewers	—	145	124	14	1	1	0	16	62	1	9	2	113	220	137	357	24	190	43	11	171	2	-17	+1	—	—	+3	-1.3
2025	19	A MLE	Carolina Mudcats	—	68	60	14	0	0	1	7	22	1	6	1	233	324	283	607	50	353	32	10	273	71	-2	+1	—	—	+1	-0.0
2025	19	ROK MLE	ACL Brewers	—	106	95	22	3	1	2	10	22	1	12	4	232	311	347	659	116	276	21	9	282	77	-3	+1	—	—	+2	0.0
2023	17	ROK MLE	DSL Brewers 2	—	167	141	30	5	1	1	16	45	7	7	7	213	323	284	607	71	296	27	10	272	70	—	—	—	—	—	—
2023	17	ROK RAW	DSL Brewers 2	—	167	132	41	7	1	3	25	32	7	7	7	311	445	447	892	136	380	19	15	399	70	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	145	124	14	1	1	0	16	62	1	9	2	113	220	137	357	24	212	43	11	171	2	—	—	—	—	—	—
2024	18	ROK RAW	ACL Brewers	—	145	114	18	1	1	0	26	43	1	9	2	158	319	184	503	26	240	30	18	250	2	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	174	155	35	3	1	2	17	44	2	18	5	226	310	297	607	71	303	25	10	278	75	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	174	145	42	4	2	3	27	31	2	18	5	290	408	407	815	117	351	18	16	372	75	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 2	—	167	142	30	5	1	1	16	45	7	7	7	211	323	282	605	70	282	27	10	272	70	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	145	127	14	1	1	0	16	62	1	9	2	110	220	134	354	24	190	43	11	171	2	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	174	153	35	3	1	2	17	44	2	18	5	229	310	301	611	72	306	25	10	278	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Brewers 2	—	167	142	30	5	1	1	16	45	7	7	7	211	323	282	605	70	282	27	10	272	70	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	145	127	14	1	1	0	16	62	1	9	2	110	220	134	354	24	190	43	11	171	2	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	174	153	35	3	1	2	17	44	2	18	5	229	310	301	611	72	306	25	10	278	75	—	—	—	—	—	—
YTD	20	A MLE	MIL	—	335	296	58	12	1	4	31	109	6	19	12	196	285	284	569	88	292	33	9	260	62	-15	-1	+0	-4	+7	-1.3
▸ 2026 season
YTD	20	A RAW	MIL	—	335	274	67	15	1	5	51	77	6	19	12	245	372	361	734	117	320	23	15	337	62	—	—	—	—	—	—
ROS	20	A MLE	MIL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		281	33	11	263	64	-0	+0	+0	-0	+0	-0.0
TOT	20	A MLE	MIL	—	344	304	59	12	1	4	32	112	6	19	12	194	284	280	563	86	289	33	9	260	62	-15	-1	+0	-4	+7	-1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIL	34%	346	305	63	11	1	6	33	99	5	10	5	207	294	308	603	102	283	29	10	277	74	-11	+0	+0	-4	+7	-0.7
2028	22	MLB MLE	MIL	48%	435	384	81	14	2	8	42	120	6	12	6	211	299	320	619	109	285	28	10	286	80	-10	+0	+0	-5	+9	-0.6
2029	23	MLB MLE	MIL	54%	488	431	94	17	2	10	47	132	7	13	7	218	305	336	642	118	286	27	10	292	84	-10	-0	+0	-5	+11	-0.4
2030	24	MLB MLE	MIL	55%	521	458	100	18	2	11	51	140	7	14	7	218	306	338	645	120	287	27	10	295	86	-9	+0	+0	-6	+11	-0.3
2031	25	MLB MLE	MIL	56%	538	472	104	18	2	12	53	144	8	14	7	220	310	343	653	123	287	27	10	297	87	-8	+0	+0	-6	+12	-0.3
2032	26	MLB MLE	MIL	56%	545	478	105	19	2	12	54	145	8	14	7	220	309	343	652	123	286	27	10	297	87	-8	+0	+0	-6	+12	-0.2
2033	27	MLB MLE	MIL	55%	545	478	105	19	2	12	54	146	8	14	7	220	309	343	652	123	286	27	10	297	87	-8	+0	+0	-6	+12	-0.2
2034	28	MLB MLE	MIL	55%	540	473	103	18	2	12	54	145	8	14	7	218	308	340	649	123	285	27	10	296	86	-9	+0	-1	-6	+12	-0.4
2027	21	MLB CTX	MIL	34%	119	105	21	4	0	2	11	34	2	3	2	200	288	295	583	95	281	29	9	267	74	-4	-0	+0	-1	+3	-0.3
2028	22	MLB CTX	MIL	48%	211	186	40	7	1	4	20	58	3	6	3	215	301	328	629	113	283	27	9	277	80	-5	+0	+0	-2	+5	-0.3
2029	23	MLB CTX	MIL	54%	265	233	51	9	1	6	26	72	4	7	4	219	308	343	651	124	284	27	10	282	84	-5	-0	+0	-3	+6	-0.3
2030	24	MLB CTX	MIL	55%	289	255	56	10	1	7	28	77	4	8	4	220	307	349	656	129	285	27	10	286	86	-5	+0	+0	-3	+6	-0.2
2031	25	MLB CTX	MIL	56%	301	264	58	10	1	7	30	80	4	8	4	220	309	345	653	125	285	27	10	287	87	-5	+0	+0	-3	+7	-0.1
2032	26	MLB CTX	MIL	56%	307	270	59	10	1	7	30	82	4	8	4	219	306	341	647	122	285	27	10	288	87	-5	+0	+0	-3	+7	-0.1
2033	27	MLB CTX	MIL	55%	301	264	58	10	1	7	30	80	4	8	4	220	309	345	653	125	284	27	10	288	87	-5	+0	+0	-3	+7	-0.1
2034	28	MLB CTX	MIL	55%	296	260	57	10	1	7	30	80	4	7	4	219	310	346	656	127	284	27	10	287	86	-5	-0	-0	-3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2089	1837	400	70	7	47	205	563	29	55	29	218	306	340	646	122	285	27	10	284	81	-37	-1	-0	-22	+45	-1.6
/ 162G	—	A+C		—	650	572	125	22	2	15	64	175	9	17	9	219	307	343	650	124	286	27	10	284	81	-12	-0	-0	-7	+14	-0.5
Career	—	MLE		—	4453	3907	835	143	18	86	438	1225	67	139	67	214	304	326	629	112	285	28	10	288	81	-73	-0	-1	-43	+86	-3.1
/ 162G	—	MLE		—	650	570	123	21	3	13	64	179	10	20	10	216	306	332	637	116	288	28	10	288	81	-12	-0	-0	-7	+14	-0.5

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
#3Tony 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
#4Dustin 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
#5Travis 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.5	2,311	47	63	217	303	335	-25	-5	-0.7	-0.3
/162	664	14	18	-7.1	-1.4	-0.2	pk7: 0

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
Pedro Ibarguen (OGILVIE)	20	29→34	35→40	57→62	60	196/285/278	82	281	2	9	30%	10%	64	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Manuel Hilario 2012 · A	20	41	39→45	53→55	49	191/292/282	91	255	5	18	25%	9%	68	-1.0	206/275/300	94	272	6	17	25%	7%	65	-1.2	200/260/292	93	259	6	20	24%	6%	55	-0.6
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Troy Stokes Jr. 2016 · A	20	42→38	38→50	54→55	43	198/270/278	80	278	6	20	29%	7%	58	-1.7	205/275/321	116	272	10	18	27%	7%	70	-0.9	198/272/329	132	263	13	19	29%	7%	68	-0.8
✕Guillermo Pimentel 2010 · A	20	43	38→40	49→55	44	200/281/273	73	300	6	17	33%	8%	61	-1.5	202/260/282	80	343	6	8	40%	6%	54	-2.0	175/223/243	68	314	7	2	44%	5%	29	-1.1
✕Jared Serna 2022 · A	20	42→48	39→45	56→50	53	200/298/293	93	253	6	22	22%	10%	72	-0.7	217/285/340	123	274	12	17	24%	7%	78	-0.3	217/277/347	130	268	14	15	24%	6%	74	-0.4
✕Michael Hermosillo 2015 · A	20	42→47	39→50	51→55	43	200/270/292	92	292	6	11	32%	8%	61	-1.5	217/292/295	78	287	5	17	24%	8%	70	-0.9	227/300/346	119	306	11	20	28%	7%	83	+0.1
✕Emilio King 2010 · A	20	40	37→45	51→40	43	190/274/270	79	258	4	9	26%	6%	58	-1.7	202/252/288	86	301	6	4	33%	4%	53	-2.1	211/249/305	94	308	7	2	33%	3%	52	-1.1
✕Stanley Martinez 2017 · A	20	40	38→45	48→50	45	192/266/269	77	269	5	10	29%	8%	54	-2.0	216/284/317	101	292	9	7	27%	7%	72	-0.7	213/282/313	100	281	9	5	26%	7%	69	-0.3
✕Glenn Santiago 2021 · A	20	43	37→40	55→45	46	200/274/277	78	262	3	13	23%	7%	59	-1.6	205/269/296	91	280	7	9	28%	7%	61	-1.5	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Jenner Emeterio 2014 · A	21	45	35→30	54→60	52	209/291/266	57	279	3	25	24%	10%	63	-1.4	222/308/290	68	293	2	20	22%	10%	74	-0.5	235/336/301	66	302	0	28	19%	12%	86	+0.1
✕Edwin Gomez 2007 · A	19	42	35→45	52→50	42	197/253/253	57	281	2	16	29%	7%	45	-2.7	219/296/310	91	297	7	13	26%	9%	74	-0.5	224/321/329	105	291	9	17	24%	11%	86	+0.1
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Zack Larson 2014 · A	20	46→36	41→45	53→50	41	222/281/319	97	293	8	13	26%	6%	71	-0.8	201/256/267	66	276	3	10	27%	6%	49	-2.4	183/239/232	49	254	1	10	26%	5%	34	-1.9
✕Cesar Gonzalez 2015 · A	20	46	36→40	54→60	39	211/270/286	75	319	3	19	33%	6%	59	-1.7	210/261/283	73	336	3	11	36%	6%	54	-2.0	184/230/216	32	334	0	4	42%	5%	24	-0.9
✕Samad Taylor 2019 · A	21	38→48	41→45	54→65	45	190/253/296	106	249	8	22	26%	7%	55	-1.9	192/267/308	116	292	10	25	35%	8%	63	-1.3	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Jon Matthews 2012 · A	21	42	36→40	54→60	40	196/256/265	69	282	2	18	30%	6%	49	-2.4	205/266/278	73	292	4	23	29%	6%	55	-1.9	231/302/293	61	313	3	21	25%	8%	69	-0.4
✕Joe Munoz 2006 · A	20	44	36→30	56→55	47	206/283/277	71	275	2	23	24%	8%	62	-1.4	207/277/269	62	267	2	16	22%	5%	58	-1.7	198/263/247	49	256	1	16	21%	4%	46	-0.8
✕Ricardo Rosario 2023 · A	20	40	37→40	50→55	42	192/252/267	75	262	4	12	27%	6%	48	-2.5	202/274/290	88	285	7	19	30%	8%	61	-1.5	196/282/285	89	259	11	29	27%	9%	63	-0.8
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	197/265/289	92	278	8	16	30%	8%	58	-1.7	238/299/342	104	319	7	24	25%	8%	82	+0.0	258/316/357	98	327	7	29	22%	7%	89	+0.4

Career Stats + Projections

Career Comps

Career Path Comps