Jefer Lista — OGILVIE

Jefer ListaOF DSL Brewers Gold

Age 18 R/R 6'2" / 184 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION130 act + 17 ros · stats below = ROS only

showingROS

wRC+†72

AVG/OBP/SLG.200 / .294 / .267

PA17

HR0

K%24

BB%12

BABIP268

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED50

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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-2	$3M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$4M	+0.2	$0.3M	+$0.0M (cut)
Totals		$3M		$5M	+$1M

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 Brewers Blue	—	233	179	41	4	1	0	38	37	13	9	4	229	400	263	663	34	283	16	16	324	105	+1	+0	—	—	+5	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Brewers Blue	—	233	193	33	3	1	0	24	51	13	9	4	171	304	197	501	26	212	22	10	231	42	-16	+0	—	—	+5	-1.1
2025	17	ROK MLE	DSL Brewers Blue	—	233	193	33	3	1	0	24	51	13	9	4	171	304	197	501	26	228	22	10	231	42	—	—	—	—	—	—
2025	17	ROK RAW	DSL Brewers Blue	—	233	179	41	4	1	0	38	37	13	9	4	229	400	263	663	34	283	16	16	324	42	—	—	—	—	—	—
2025	17	ROK MLE	DSL Brewers Blue	—	233	194	33	3	1	0	24	51	13	9	4	170	304	196	500	26	212	22	10	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Brewers Blue	—	233	194	33	3	1	0	24	51	13	9	4	170	304	196	500	26	212	22	10	231	42	—	—	—	—	—	—
YTD	18	ROK MLE	MIL	—	130	111	25	7	0	2	15	24	2	2	2	225	328	342	670	117	264	18	12	310	96	-1	-0	+0	-1	+3	0.1
▸ 2026 season
YTD	18	ROK RAW	MIL	—	130	101	31	9	0	3	25	17	2	2	2	307	453	485	938	178	337	13	19	415	96	—	—	—	—	—	—
ROS	18	ROK MLE	MIL	0%	17	15	3	1	0	0	2	4	0	0	0	200	294	267	561	67	270	24	12	275	72	-1	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	MIL	—	147	126	28	8	0	2	17	28	2	2	2	222	324	333	657	111	265	19	12	306	93	-1	-0	+0	-1	+3	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIL	34%	281	247	55	11	1	4	27	62	5	5	2	223	312	324	636	101	275	22	10	287	81	-6	+0	+0	-2	+6	-0.2
2028	20	MLB MLE	MIL	48%	401	352	79	15	2	7	39	87	7	7	3	224	314	338	652	114	278	22	10	295	86	-7	+0	+0	-2	+9	-0.0
2029	21	MLB MLE	MIL	54%	490	431	98	19	2	9	47	106	9	9	3	227	316	343	660	116	279	22	10	301	90	-6	+1	+0	-3	+11	0.2
2030	22	MLB MLE	MIL	57%	552	484	113	22	3	11	53	118	10	10	4	233	322	360	681	126	280	21	10	304	92	-5	+0	+0	-3	+12	0.4
2031	23	MLB MLE	MIL	58%	595	522	121	23	3	12	58	127	10	11	4	232	320	356	677	125	281	21	10	306	94	-5	+1	+0	-4	+13	0.5
2032	24	MLB MLE	MIL	57%	617	541	125	24	3	12	60	131	11	12	4	231	320	353	673	122	282	21	10	308	95	-4	+1	+0	-4	+13	0.7
2033	25	MLB MLE	MIL	57%	628	551	129	25	3	13	61	133	11	12	5	234	323	361	684	127	282	21	10	309	95	-4	+0	+0	-4	+14	0.7
2034	26	MLB MLE	MIL	60%	635	557	130	25	3	13	62	134	11	12	5	233	322	359	681	126	282	21	10	309	95	-4	+0	+0	-4	+14	0.7
2035	27	MLB MLE	MIL	62%	635	556	130	25	3	13	63	135	11	12	5	234	324	360	684	126	282	21	10	309	95	-4	+0	+0	-4	+14	0.7
2036	28	MLB MLE	MIL	63%	630	551	128	24	3	13	63	134	11	12	4	232	323	358	681	125	281	21	10	308	95	-4	+1	-1	-4	+14	0.6
2037	29	MLB MLE	MIL	65%	620	542	125	24	3	12	62	134	11	11	4	231	322	352	674	122	280	22	10	306	93	-5	+1	-1	-4	+13	0.4
2038	30	MLB MLE	MIL	65%	609	532	121	23	2	12	61	133	11	11	4	227	320	346	665	118	279	22	10	303	91	-6	+1	-2	-4	+13	0.2
2039	31	MLB MLE	MIL	65%	595	520	116	22	2	11	60	131	10	10	4	223	315	337	652	113	277	22	10	299	89	-8	+0	-3	-4	+13	-0.1
2027	19	MLB CTX	MIL	34%	97	86	18	4	0	1	9	21	2	2	1	209	299	291	590	81	273	22	9	275	81	-2	+0	+0	-1	+2	-0.1
2028	20	MLB CTX	MIL	48%	194	170	38	7	1	3	19	42	3	3	1	224	312	329	642	106	276	22	10	283	86	-3	+0	+0	-1	+4	0.0
2029	21	MLB CTX	MIL	54%	266	233	53	10	1	5	26	57	5	5	2	227	318	343	662	116	278	21	10	288	90	-3	+0	+0	-2	+6	0.1
2030	22	MLB CTX	MIL	57%	312	274	62	12	1	6	30	67	5	6	2	226	314	343	657	117	279	21	10	292	92	-3	+0	+0	-2	+7	0.2
2031	23	MLB CTX	MIL	58%	343	301	70	13	2	7	33	73	6	6	2	233	321	359	679	126	280	21	10	294	94	-3	+0	+0	-2	+7	0.3
2032	24	MLB CTX	MIL	57%	352	309	72	14	2	7	34	75	6	7	3	233	321	359	680	126	280	21	10	296	95	-2	+0	+0	-2	+8	0.4
2033	25	MLB CTX	MIL	57%	356	312	74	14	2	8	35	75	6	7	3	237	326	372	698	135	280	21	10	296	95	-2	+0	+0	-2	+8	0.4
2034	26	MLB CTX	MIL	60%	384	336	78	15	2	8	38	81	7	7	3	232	323	360	683	128	280	21	10	297	95	-2	+0	+0	-2	+8	0.4
2035	27	MLB CTX	MIL	62%	395	346	81	15	2	9	39	84	7	7	3	234	324	367	691	133	280	21	10	297	95	-2	+0	+0	-2	+9	0.4
2036	28	MLB CTX	MIL	63%	399	349	81	15	2	9	40	85	7	7	3	232	323	364	687	132	279	21	10	296	95	-3	+0	-0	-2	+9	0.4
2037	29	MLB CTX	MIL	65%	403	352	81	15	2	8	41	87	7	7	3	230	323	352	675	122	279	22	10	294	93	-3	+0	-1	-2	+9	0.2
2038	30	MLB CTX	MIL	65%	396	346	79	15	2	8	40	86	7	7	3	228	321	353	673	124	277	22	10	291	91	-4	+0	-1	-2	+9	0.1
2039	31	MLB CTX	MIL	65%	387	338	76	14	1	8	39	85	7	6	2	225	318	343	661	118	275	22	10	287	89	-5	+0	-2	-2	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4284	3752	863	163	20	87	423	918	75	77	31	230	320	354	674	124	280	21	10	293	91	-38	+3	-5	-26	+93	2.8
/ 162G	—	A+C		—	650	569	131	25	3	13	64	139	11	12	5	230	319	353	673	123	281	21	10	293	91	-6	+0	-1	-4	+14	0.4
Career	—	MLE		—	7538	6594	1506	286	34	142	742	1620	141	143	55	228	320	347	666	118	280	21	10	302	91	-67	+6	-7	-44	+158	4.7
/ 162G	—	MLE		—	650	569	130	25	3	12	64	140	12	12	5	228	319	346	666	118	281	22	10	302	91	-6	+1	-1	-4	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Logan 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
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.8	4,485	85	81	230	317	350	-27	+0	5.4	4.8
/162	664	13	12	-4.0	+0.0	0.8	pk7: 4
#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
#5Tony 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
#6Dustin 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

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
Jefer Lista (OGILVIE)	18	35	20	50	60	209/297/292	83	270	2	3	22%	10%	72	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	43	196/259/277	81	254	5	7	24%	6%	53	-2.1	212/289/284	72	268	5	9	21%	9%	66	-1.1	221/317/274	53	274	5	10	19%	11%	72	-0.3
✕Jose Astudillo 2022 · A	18	43	37→45	52→55	46	204/259/278	73	249	3	9	19%	6%	53	-2.1	228/282/303	75	268	3	15	15%	6%	67	-1.1	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Kelvin Fajardo 2014 · A	18	44	35→30	46→50	48	204/261/260	56	246	3	6	18%	7%	49	-2.4	222/278/270	48	270	1	6	17%	6%	57	-1.8	224/280/257	33	266	0	6	15%	6%	55	-0.7
✕Randy Romero 2019 · A	19	43	36→40	50→60	45	203/252/272	69	247	3	12	19%	6%	49	-2.4	229/271/302	73	269	3	22	15%	5%	61	-1.5	223/260/286	62	276	2	30	19%	4%	54	-0.6
✕Jorge Caballero 2018 · A	18	44	37→40	49→45	47	210/286/284	74	263	4	10	21%	7%	65	-1.2	216/286/282	66	325	3	7	31%	8%	64	-1.3	226/304/293	67	365	5	5	36%	9%	71	-0.4
✕Rafael Herrera 2019 · A	18	43	35→40	52→50	45	200/267/266	67	269	2	12	25%	7%	53	-2.1	218/286/298	80	291	4	12	24%	8%	68	-1.0	229/304/310	81	297	4	17	22%	9%	74	-0.2
✕Albert Hernandez 2008 · A	19	43	39→40	49→45	46	207/270/299	92	260	6	7	22%	7%	62	-1.4	226/286/317	91	285	6	7	22%	6%	72	-0.7	230/289/314	84	291	6	6	22%	6%	70	-0.2
✕Ivan Gonzalez 2014 · A	18	44	37→40	47→50	47	208/269/281	73	249	4	12	18%	6%	57	-1.8	224/274/303	79	281	4	12	21%	5%	63	-1.3	244/291/326	81	295	5	14	18%	5%	74	-0.2
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Elio Castillo 2012 · A	18	43	35→30	48→50	49	202/273/265	63	251	2	8	20%	8%	55	-1.9	213/285/265	52	263	2	8	18%	7%	60	-1.6	213/278/238	26	263	0	8	18%	7%	50	-0.7
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Maximo Rivera 2011 · A	18	40	35→45	46→60	39	188/247/243	55	285	3	9	33%	6%	40	-3.0	208/263/297	89	272	9	19	26%	6%	59	-1.7	235/283/299	64	303	5	24	23%	5%	64	-0.4
✕Dubal Baez 2011 · A	18	46	36→30	50→60	46	214/289/282	68	300	4	7	28%	8%	65	-1.2	214/302/264	50	297	2	18	26%	8%	68	-1.0	217/309/247	30	304	0	28	25%	8%	63	-0.4
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Rafael P Valera 2013 · A	18	43	35→30	48→55	46	201/273/256	55	281	2	11	27%	8%	53	-2.1	207/290/260	53	271	1	14	22%	9%	61	-1.5	216/289/281	65	299	0	7	25%	8%	62	-0.4
✕Juan Alonso 2022 · A	18	42→35	37→40	43→50	40	196/257/268	72	295	4	10	33%	6%	50	-2.3	186/284/265	79	353	5	9	43%	10%	61	-1.5	159/271/236	77	335	5	7	47%	10%	49	-1.0
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Daniel Padilla 2015 · A	18	44	35→30	50→55	43	206/259/267	61	274	2	12	24%	6%	50	-2.3	221/284/282	61	298	3	16	25%	7%	63	-1.4	233/300/281	48	310	2	23	24%	8%	66	-0.4
✕José Fermín 2017 · A	18	42→51	37→45	48→55	44	201/258/285	84	274	3	8	27%	7%	54	-2.0	203/252/278	75	241	4	11	17%	4%	50	-2.3	244/330/367	123	265	11	26	12%	10%	98	+0.7

Career Stats + Projections

Career Comps

Career Path Comps