Oliver Guerrero — OGILVIE

Oliver GuerreroOF DSL Rangers Blue

Age 18 L/R 6'3" / 200 lbs ROK HR +15%BB +5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION195 act + 18 ros · stats below = ROS only

showingROS

wRC+†71

AVG/OBP/SLG.188 / .278 / .250

PA18

HR0

K%33

BB%11

BABIP257

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 35 / POW 40

Toolsscout grade

CONTACT35

scouting grade only

POWER40

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$2M	—	—	—
Totals		$2M		$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)
2025	17	ROK	DSL Rangers Red	—	195	159	39	1	2	7	30	43	5	4	0	245	381	409	790	164	291	22	15	359	129	+7	+1	—	—	+4	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rangers Red	—	195	171	30	1	2	4	18	62	5	4	0	175	273	275	548	99	233	32	9	242	50	-12	+1	—	—	+4	-0.7
2025	17	ROK MLE	DSL Rangers Red	—	195	171	30	1	2	4	18	62	5	4	0	175	273	275	548	99	245	32	9	242	50	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rangers Red	—	195	159	39	1	2	7	30	43	5	4	0	245	381	409	790	164	291	22	15	359	50	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rangers Red	—	195	170	30	1	2	4	18	62	5	4	0	176	273	276	550	100	233	32	9	242	50	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rangers Red	—	195	170	30	1	2	4	18	62	5	4	0	176	273	276	550	100	233	32	9	242	50	—	—	—	—	—	—
YTD	18	ROK MLE	TEX	—	195	159	24	6	0	7	25	74	6	1	1	151	289	321	610	170	205	38	13	269	68	-7	-0	+0	-1	+4	-0.5
▸ 2026 season
YTD	18	ROK RAW	TEX	—	195	143	31	8	0	9	41	51	6	1	1	217	411	462	872	245	250	26	21	383	68	—	—	—	—	—	—
ROS	18	ROK MLE	TEX	0%	18	16	3	1	0	0	2	6	0	0	0	188	278	250	528	62	255	33	11	273	71	-1	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	TEX	—	213	175	27	7	0	7	27	80	6	1	1	154	288	314	603	160	215	38	13	269	68	-8	-0	+0	-1	+5	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TEX	34%	259	227	44	8	1	7	26	78	4	3	1	194	288	330	618	137	260	30	10	281	76	-7	+0	+0	-2	+6	-0.3
2028	20	MLB MLE	TEX	48%	383	334	67	12	2	10	39	113	7	5	2	201	297	338	636	138	264	30	10	288	81	-9	+0	+0	-2	+8	-0.2
2029	21	MLB MLE	TEX	54%	475	415	85	16	2	13	48	137	9	7	3	205	301	347	648	142	266	29	10	293	85	-9	+0	+0	-3	+10	-0.1
2030	22	MLB MLE	TEX	57%	540	470	98	18	3	15	55	154	10	8	3	209	305	355	660	147	268	29	10	297	87	-8	+0	+0	-3	+12	0.1
2031	23	MLB MLE	TEX	58%	585	510	106	19	3	17	59	166	11	9	3	208	303	357	660	149	269	28	10	299	88	-8	+1	+0	-4	+13	0.2
2032	24	MLB MLE	TEX	57%	613	535	112	20	3	18	62	173	11	10	4	209	304	359	663	150	269	28	10	300	89	-8	+0	+0	-4	+13	0.2
2033	25	MLB MLE	TEX	61%	627	547	115	21	3	19	64	177	11	10	4	210	305	364	669	154	270	28	10	301	90	-8	+0	+0	-4	+14	0.3
2034	26	MLB MLE	TEX	58%	634	552	116	21	3	19	65	179	12	10	4	210	307	362	669	152	269	28	10	301	90	-8	+0	+0	-4	+14	0.3
2035	27	MLB MLE	TEX	56%	634	551	116	21	3	19	66	179	12	10	4	211	308	363	671	152	269	28	10	301	90	-7	+0	+0	-4	+14	0.3
2036	28	MLB MLE	TEX	60%	629	547	115	21	3	19	66	179	11	10	4	210	308	364	671	154	268	28	10	300	89	-8	+0	-1	-4	+14	0.2
2037	29	MLB MLE	TEX	61%	619	538	111	20	3	18	65	177	11	9	3	206	305	355	660	149	267	29	11	298	88	-9	+1	-1	-4	+13	0.0
2038	30	MLB MLE	TEX	63%	609	529	108	20	2	17	64	176	11	9	3	204	303	346	649	142	266	29	11	296	86	-10	+1	-2	-4	+13	-0.2
2027	19	MLB CTX	TEX	34%	89	78	15	3	0	2	9	27	2	1	0	192	292	308	600	115	262	30	10	273	76	-3	+0	+0	-1	+2	-0.1
2028	20	MLB CTX	TEX	48%	186	162	33	6	1	5	19	55	3	3	1	204	299	346	645	142	266	30	10	280	81	-4	+0	+0	-1	+4	-0.1
2029	21	MLB CTX	TEX	54%	258	225	46	8	1	8	26	74	5	4	1	204	301	356	656	151	269	29	10	285	85	-5	+0	+0	-2	+6	-0.0
2030	22	MLB CTX	TEX	57%	306	266	55	10	1	9	31	87	6	5	2	207	304	353	657	147	270	28	10	289	87	-5	+0	+0	-2	+7	0.0
2031	23	MLB CTX	TEX	58%	337	294	63	11	2	11	34	95	6	5	2	214	308	378	686	163	271	28	10	291	88	-5	+0	+0	-2	+7	0.1
2032	24	MLB CTX	TEX	57%	349	304	65	12	2	11	36	99	6	6	2	214	309	375	684	161	272	28	10	292	89	-4	+0	+0	-2	+8	0.1
2033	25	MLB CTX	TEX	61%	380	331	71	13	2	12	39	107	7	6	2	215	310	375	685	160	272	28	10	293	90	-5	+0	+0	-2	+8	0.2
2034	26	MLB CTX	TEX	58%	370	322	69	12	2	12	38	104	7	6	2	214	311	376	686	161	272	28	10	293	90	-4	+0	+0	-2	+8	0.2
2035	27	MLB CTX	TEX	56%	358	311	66	12	2	11	37	101	7	6	2	212	310	370	680	158	271	28	10	293	90	-4	+0	+0	-2	+8	0.2
2036	28	MLB CTX	TEX	60%	376	327	69	12	2	12	39	107	7	6	2	211	308	370	678	159	271	28	10	292	89	-5	+0	-0	-2	+8	0.1
2037	29	MLB CTX	TEX	61%	380	330	69	12	2	12	40	109	7	6	2	209	308	367	674	158	270	29	11	290	88	-5	+0	-1	-2	+8	0.0
2038	30	MLB CTX	TEX	63%	381	331	69	12	2	12	40	110	7	6	2	208	307	366	672	157	268	29	10	288	86	-6	+0	-1	-2	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3770	3281	690	123	19	117	388	1075	70	60	20	210	307	366	673	156	272	29	10	290	86	-55	+4	-3	-23	+82	0.6
/ 162G	—	A+C		—	650	566	118	21	3	20	67	185	12	10	3	208	305	362	668	154	269	28	10	290	86	-9	+1	-0	-4	+14	0.1
Career	—	MLE		—	6820	5942	1226	219	33	195	699	1956	125	104	38	206	303	353	656	146	270	29	10	296	86	-98	+5	-4	-40	+144	0.6
/ 162G	—	MLE		—	650	566	117	21	3	19	67	186	12	10	4	207	304	355	659	148	269	29	10	296	86	-10	+0	-0	-4	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#2Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#3Michael 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
#4Gregory 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
#5Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.9	3,940	113	60	208	300	355	-24	+0	2.8	2.7
/162	664	19	10	-4.0	+0.0	0.5	pk7: 3
#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

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
Oliver Guerrero (OGILVIE)	18	35	40	45	55	183/281/308	125	255	4	2	32%	10%	71	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ronny Ugarte 2023 · A	18	42	44→45	47→30	43	207/277/335	127	282	11	6	29%	7%	74	-0.6	230/289/339	109	300	8	5	24%	7%	78	-0.3	252/312/362	110	332	10	2	25%	7%	89	+0.2
✕Edwin Sanchez 2023 · A	18	41	44→45	43→50	47	201/290/315	114	282	12	6	31%	9%	74	-0.5	200/313/311	111	277	10	9	29%	11%	83	+0.1	178/321/293	116	239	11	11	27%	14%	82	+0.0
✕Leopoldo Correa 2010 · A	18	41	42→45	50→30	48	197/280/305	107	291	9	5	33%	10%	68	-1.0	210/272/297	87	263	6	3	21%	7%	62	-1.4	212/269/300	89	261	8	0	21%	6%	58	-0.5
✕Randel Alcantara 2015 · A	18	40	43→45	41→45	42	200/268/307	107	273	11	4	30%	7%	63	-1.3	200/265/309	109	265	8	6	26%	6%	63	-1.4	186/252/305	119	241	8	6	25%	5%	54	-0.7
✕Jose Quero 2018 · A	19	42	40	43→30	44	208/267/295	86	269	9	3	26%	6%	59	-1.6	195/253/293	98	251	9	5	25%	7%	54	-2.0	196/247/344	148	225	15	4	21%	6%	68	-0.2
✕Luis Barrera 2014 · A	18	37→47	43→45	47→50	47	186/254/303	117	227	10	7	23%	7%	57	-1.8	194/247/272	78	270	5	7	28%	6%	47	-2.6	247/292/355	108	317	4	17	23%	5%	79	-0.1
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Carlos Rodriguez 2022 · A	19	39	41→45	46→45	48	183/286/282	99	291	8	6	36%	11%	66	-1.1	184/261/262	78	291	6	6	35%	9%	51	-2.3	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Angel Ortiz 2022 · A	19	42	41→50	46→45	44	206/261/295	89	268	9	9	26%	7%	57	-1.8	207/258/303	96	280	7	7	27%	6%	58	-1.7	218/275/359	140	283	14	8	27%	7%	76	-0.3
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3
✕Daniel Montano 2017 · A	18	35→45	45	48→50	41	182/248/304	122	258	12	8	33%	7%	55	-1.9	183/232/281	98	255	8	9	30%	6%	43	-2.8	203/278/309	107	310	9	6	35%	9%	66	-0.8
✕Enmanuel Valdez 2017 · A	18	40→46	43→55	51→45	46	198/264/316	118	245	9	7	23%	7%	64	-1.3	188/251/299	111	251	9	7	28%	7%	55	-2.0	219/282/397	178	265	23	8	27%	7%	88	+0.3
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Iverson Leonardo 2021 · A	19	45	40→50	47→50	44	211/284/318	107	303	5	9	30%	8%	72	-0.7	189/267/301	112	298	10	8	37%	8%	62	-1.4	154/246/261	107	253	10	8	40%	8%	44	-0.7
✕Gilbert Marrero 2015 · A	18	45	42→45	45→40	47	216/284/321	105	293	9	3	28%	8%	72	-0.7	175/234/245	70	304	4	4	40%	7%	36	-3.4	99/154/128	29	203	0	2	48%	5%	-23	-1.4
✕Luis Paredes 2022 · A	18	45	43→45	47→50	40	219/278/332	113	315	11	9	33%	7%	72	-0.7	174/237/259	85	331	8	6	46%	7%	41	-3.0	88/149/124	36	239	3	3	61%	6%	-24	-2.0
✕Vicmal De La Cruz 2013 · A	19	42	39→40	49→50	43	201/264/291	89	282	5	8	29%	7%	57	-1.8	183/238/255	72	271	4	6	32%	6%	40	-3.1	149/204/202	52	220	3	3	32%	5%	13	-1.4
✕Ronarsy Ledesma 2012 · A	19	41	42→45	47→50	43	203/277/306	103	268	9	7	27%	6%	67	-1.1	224/283/326	102	290	5	11	24%	5%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3

Career Stats + Projections

Career Comps

Career Path Comps