Albert Jimenez — OGILVIE

Albert Jimenez3B DSL Giants Orange

Age 19 R/R 6'1" / 174 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION208 act + 19 ros · stats below = ROS only

showingROS

wRC+†82

AVG/OBP/SLG.176 / .263 / .235

PA19

HR0

K%21

BB%11

BABIP261

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$33M ctrl surplus

Tools · ContractCON 49 / POW 48

Toolsscout grade

CONTACT49

scouting grade only

POWER48

scouting grade only

EYE56

scouting grade only

SPEED47

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	+0.8	$2M	+$2M
2033	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Arb-1	$3M	+0.7	$1M	+$0.1M
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$9M	+$4M

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)
2024	17	ROK	DSL Giants Orange	—	186	163	43	12	1	3	18	41	2	0	1	264	344	405	749	141	328	22	10	332	111	+2	-0	—	—	+4	0.6
2025	18	ROK	DSL Giants Black	—	140	120	29	5	0	4	20	20	0	0	0	242	350	383	733	142	260	14	14	334	112	+2	+0	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Orange	—	186	170	32	8	1	2	11	59	2	0	1	188	246	282	528	94	258	32	6	236	46	-12	-0	—	—	+4	-0.9
2025	18	ROK MLE	DSL Giants Black	—	140	129	22	3	0	3	11	29	0	0	0	171	236	264	499	93	200	21	8	231	42	-10	+0	—	—	+3	-0.7
2024	17	ROK MLE	DSL Giants Orange	—	186	170	32	8	1	2	11	59	2	0	1	188	246	282	528	94	268	32	6	236	46	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Orange	—	186	163	43	12	1	3	18	41	2	0	1	264	344	405	749	141	328	22	10	332	46	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	140	129	22	3	0	3	11	29	0	0	0	171	236	264	499	93	196	21	8	231	42	—	—	—	—	—	—
2025	18	ROK RAW	DSL Giants Black	—	140	120	29	5	0	4	20	20	0	0	0	242	350	383	733	142	260	14	14	334	42	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Orange	—	186	171	32	8	1	2	11	59	2	0	1	187	246	281	527	94	258	32	6	236	46	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	140	128	22	3	0	3	11	29	0	0	0	172	236	266	501	94	200	21	8	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Giants Orange	—	186	171	32	8	1	2	11	59	2	0	1	187	246	281	527	94	258	32	6	236	46	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Black	—	140	128	22	3	0	3	11	29	0	0	0	172	236	266	501	94	200	21	8	231	42	—	—	—	—	—	—
YTD	19	ROK MLE	SF	—	208	181	36	6	1	6	24	47	1	0	0	199	296	343	639	144	231	23	12	282	77	-6	+0	+0	+1	+5	-0.0
▸ 2026 season
YTD	19	ROK RAW	SF	—	208	167	46	8	1	8	38	33	1	0	0	275	413	479	892	204	297	16	18	394	77	—	—	—	—	—	—
ROS	19	ROK MLE	SF	0%	19	17	3	1	0	0	2	4	0	0	0	176	263	235	498	59	266	21	11	289	82	-0	+0	+0	+0	+0	0.0
TOT	19	ROK MLE	SF	—	227	198	39	7	1	6	26	51	1	0	0	197	293	333	627	136	231	22	11	283	77	-6	+0	+0	+1	+5	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	SF	34%	255	228	51	9	1	7	23	58	2	3	1	224	300	364	664	140	270	23	9	298	88	-4	+0	+0	+1	+6	0.3
2028	21	MLB MLE	SF	48%	374	334	76	14	2	10	34	84	3	5	2	228	305	371	676	144	273	22	9	304	92	-4	+0	+0	+1	+8	0.6
2029	22	MLB MLE	SF	54%	459	410	94	17	2	13	42	102	4	7	2	229	307	376	683	146	274	22	9	308	95	-3	+1	+0	+2	+10	1.0
2030	23	MLB MLE	SF	57%	513	456	107	19	3	15	47	114	5	8	3	235	313	388	701	154	276	22	9	311	97	-2	+0	+0	+2	+11	1.2
2031	24	MLB MLE	SF	57%	549	488	115	21	3	16	51	121	5	9	3	236	314	389	704	154	276	22	9	313	98	-1	+1	+0	+2	+12	1.3
2032	25	MLB MLE	SF	57%	569	506	119	22	3	17	53	125	5	10	3	235	314	391	705	156	276	22	9	314	98	-1	+1	+0	+2	+12	1.4
2033	26	MLB MLE	SF	56%	579	515	121	22	3	17	54	127	5	10	3	235	314	388	702	153	276	22	9	314	99	-1	+1	+0	+2	+13	1.5
2034	27	MLB MLE	SF	55%	581	516	121	22	3	17	55	128	5	10	3	234	314	388	702	153	276	22	9	314	99	-1	+1	+0	+2	+13	1.5
2035	28	MLB MLE	SF	55%	577	512	120	22	3	17	55	128	5	10	3	234	315	389	703	154	275	22	10	313	98	-1	+1	-1	+2	+13	1.4
2036	29	MLB MLE	SF	53%	568	503	117	21	3	17	55	127	5	9	3	233	314	388	702	155	274	22	10	311	97	-2	+1	-1	+2	+12	1.1
2037	30	MLB MLE	SF	53%	558	494	113	20	2	16	54	126	5	9	3	229	311	374	686	146	273	23	10	308	95	-4	+1	-2	+2	+12	0.9
2038	31	MLB MLE	SF	57%	544	482	108	19	2	15	52	125	5	8	3	224	306	365	671	141	270	23	10	304	92	-5	+0	-3	+2	+12	0.6
2039	32	MLB MLE	SF	59%	526	466	103	18	2	14	50	123	5	7	2	221	303	358	662	137	267	23	10	298	88	-8	+1	-4	+2	+11	0.3
2040	33	MLB MLE	SF	61%	496	442	95	16	2	13	47	118	4	7	2	215	296	348	645	133	263	24	9	291	83	-10	+1	-4	+2	+11	-0.1
2027	20	MLB CTX	SF	34%	88	79	17	3	0	2	8	20	1	1	0	215	295	329	625	114	265	23	9	286	88	-1	+0	+0	+0	+2	0.1
2028	21	MLB CTX	SF	48%	181	160	36	6	1	5	17	41	2	3	1	225	307	369	676	144	267	23	9	291	92	-2	+0	+0	+1	+4	0.3
2029	22	MLB CTX	SF	54%	249	222	50	9	1	7	23	56	2	4	1	225	304	369	673	144	269	22	9	294	95	-2	+0	+0	+1	+5	0.5
2030	23	MLB CTX	SF	57%	290	258	60	11	2	8	27	64	3	5	2	233	312	384	696	151	270	22	9	297	97	-1	+0	+0	+1	+6	0.6
2031	24	MLB CTX	SF	57%	310	275	63	11	2	8	29	68	3	5	2	229	309	371	680	142	271	22	9	298	98	-1	+0	+0	+1	+7	0.7
2032	25	MLB CTX	SF	57%	322	286	66	12	2	9	30	71	3	5	2	231	310	381	691	150	271	22	9	299	98	-1	+0	+0	+1	+7	0.8
2033	26	MLB CTX	SF	56%	327	290	67	12	2	9	31	72	3	6	2	231	312	379	691	148	271	22	9	299	99	-1	+0	+0	+1	+7	0.8
2034	27	MLB CTX	SF	55%	322	286	66	12	2	9	30	71	3	5	2	231	310	381	691	150	270	22	9	299	99	-1	+0	+0	+1	+7	0.8
2035	28	MLB CTX	SF	55%	317	281	65	12	2	9	30	70	3	5	2	231	312	384	696	153	270	22	9	298	98	-1	+0	-0	+1	+7	0.7
2036	29	MLB CTX	SF	53%	304	269	60	11	1	8	29	68	3	5	2	223	306	361	666	138	269	22	10	297	97	-1	+0	-1	+1	+7	0.6
2037	30	MLB CTX	SF	53%	294	261	58	10	1	8	28	67	3	5	2	222	305	360	665	138	267	23	10	294	95	-2	+0	-1	+1	+6	0.5
2038	31	MLB CTX	SF	57%	308	272	60	11	1	8	30	71	3	5	2	221	305	357	662	136	265	23	10	290	92	-3	+0	-2	+1	+7	0.3
2039	32	MLB CTX	SF	59%	311	275	59	10	1	8	30	73	3	4	1	215	299	345	644	131	262	23	10	285	88	-4	+0	-2	+1	+7	0.2
2040	33	MLB CTX	SF	61%	303	268	57	10	1	7	29	72	3	4	1	213	297	336	632	123	257	24	10	278	83	-6	+0	-3	+1	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3926	3482	784	140	19	105	371	884	38	62	22	225	307	367	673	142	270	23	9	294	92	-26	+4	-8	+14	+85	7.0
/ 162G	—	A+C		—	650	576	129	23	3	17	61	146	6	10	4	224	304	363	667	139	269	22	9	294	92	-4	+1	-1	+2	+14	1.2
Career	—	MLE		—	7493	6668	1517	274	35	209	696	1698	65	112	37	228	307	373	680	146	272	23	9	305	92	-47	+8	-15	+26	+155	13.0
/ 162G	—	MLE		—	650	578	132	24	3	18	60	147	6	10	3	228	307	374	681	145	274	23	9	305	92	-4	+1	-1	+2	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Luis 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
#3Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#4Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,070	115	63	231	307	378	+15	+4	10.2	8.5
/162	664	19	10	+2.4	+0.7	1.7	pk7: 7
#5Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#6Gordon 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

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
Albert Jimenez (OGILVIE)	19	44→49	43→48	42→47	56	216/293/344	128	266	3	1	23%	9%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Andy Pages 2021 · A	20	43→53	46→55	46→50	46	214/297/344	130	275	14	9	26%	8%	84	+0.1	213/299/399	186	281	23	6	32%	9%	97	+1.1	266/322/445	180	311	23	10	22%	6%	115	+2.3
✕Luis Alvarez 2009 · A	19	47	43→45	44→45	48	231/306/343	112	272	11	5	19%	7%	86	+0.3	224/289/325	101	280	9	6	22%	6%	76	-0.4	212/264/322	110	252	12	1	21%	4%	62	-0.3
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Jesus Morelli 2009 · A	19	49	42→45	48→50	49	234/311/346	112	300	9	12	24%	8%	88	+0.5	220/282/290	70	304	4	10	27%	6%	64	-1.3	219/279/260	41	287	0	14	22%	6%	53	-0.5
✕Daniel Robertson 2013 · A	19	45→54	46→45	52→40	49	225/297/363	139	266	12	6	20%	8%	87	+0.4	237/302/348	111	297	9	3	22%	7%	85	+0.2	232/336/343	111	304	11	4	25%	11%	96	+0.6
✕Hao-Yu Lee 2023 · A	20	48→44	45→50	48→55	46	232/305/356	123	310	12	12	28%	8%	88	+0.5	236/300/363	127	303	12	16	25%	7%	88	+0.4	241/304/389	148	298	14	15	23%	7%	93	+0.6
●Moisés Ballesteros 2023 · A	19	42→52	47→50	45→40	47	215/281/345	130	270	15	5	26%	8%	77	-0.3	241/299/370	129	293	14	4	22%	7%	89	+0.5	255/314/382	127	304	14	3	20%	7%	96	+0.9
✕Michael Arroyo 2023 · A	18	48→46	42→50	44→50	46	226/320/334	108	300	8	7	26%	8%	90	+0.6	212/310/340	128	285	12	8	28%	8%	88	+0.4	217/303/361	144	274	17	12	26%	7%	88	+0.4
●Gabriel Gonzalez 2023 · A	19	47→57	45→50	49→45	43	231/296/352	121	282	12	9	22%	5%	84	+0.2	244/298/369	125	295	13	7	21%	5%	88	+0.5	253/307/381	128	303	13	6	20%	5%	92	+0.6
✕Francisco Herrera 2013 · A	19	47	42→45	44→30	49	230/294/334	104	267	9	5	18%	7%	79	-0.2	221/277/315	94	270	8	6	21%	6%	68	-1.0	208/255/286	78	243	9	5	18%	4%	50	-0.6
●Cheslor Cuthbert 2012 · A	19	45→55	44→50	49→45	42	221/274/334	112	293	12	4	28%	6%	72	-0.7	216/259/316	100	271	9	6	23%	5%	61	-1.5	254/307/401	147	297	17	1	20%	7%	98	+0.6
✕Jeferson Quero 2022 · A	19	47→45	42→50	47→45	49	229/304/342	113	282	9	10	21%	8%	85	+0.2	224/276/345	121	286	13	8	26%	6%	74	-0.5	222/278/352	130	268	15	6	23%	6%	75	-0.3
●Mark Vientos 2019 · A	19	42→50	46→60	43→30	45	215/275/340	125	273	14	3	26%	7%	74	-0.6	209/254/346	137	287	16	2	32%	5%	68	-1.0	243/303/441	198	304	26	1	28%	7%	106	+1.5
✕Carter Kieboom 2018 · A	20	46→53	48→50	43→45	42	228/289/370	142	302	15	5	29%	7%	86	+0.3	233/302/363	130	307	14	6	27%	8%	89	+0.5	229/307/352	123	302	14	5	27%	9%	86	+0.2
●Adael Amador 2022 · A	19	45→54	41→50	45→55	48	220/284/320	100	275	8	11	23%	8%	72	-0.7	239/315/371	132	277	15	17	19%	9%	96	+1.0	231/310/363	132	264	16	23	19%	9%	89	+0.4
✕James Triantos 2022 · A	19	45→55	49→45	45→60	40	232/273/378	146	289	16	8	26%	5%	81	-0.1	239/285/335	96	292	8	18	20%	5%	75	-0.5	258/299/357	99	298	7	36	16%	4%	83	+0.1
✕Victor Heredia 2019 · A	19	47	44→50	42→30	39	232/274/353	122	292	11	4	25%	4%	76	-0.4	213/267/301	88	291	7	5	28%	6%	61	-1.5	176/240/214	38	249	3	2	28%	6%	30	-1.0
✕Aderlin Rodríguez 2011 · A	19	44→48	49→55	45→30	40	227/269/372	145	280	17	4	26%	5%	78	-0.3	207/243/347	140	252	18	3	26%	4%	63	-1.4	238/283/415	178	287	23	1	26%	4%	92	+0.5
✕Ravel Santana 2011 · A	19	43	46→50	51→55	47	216/296/344	128	273	15	16	26%	8%	83	+0.1	220/281/361	141	294	15	13	29%	7%	80	-0.1	205/253/387	182	264	22	15	31%	6%	75	-0.2
✕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