Lisbel Diaz — OGILVIE

Lisbel DiazOF Eugene Emeralds

Age 21 R/R 6'2" / 204 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION478 act + 9 ros · stats below = ROS only

showingROS

wRC+†65

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%22

BB%4

BABIP248

ISO119

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 45

Toolsscout grade

CONTACT45

scouting grade only

POWER45

scouting grade only

EYE39

scouting grade only

SPEED55

scouting grade only

DEFENSE55

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$1M	—	—	—
2034	Arb-2	$1M	—	—	—
2035	Arb-3	$7M	—	—	—
Totals		$0.0M		$0.2M	+$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)
2023	18	ROK	DSL Giants Orange	—	88	77	24	2	0	3	7	10	3	1	3	312	391	455	845	143	323	11	8	376	141	+4	-1	—	—	+2	0.5
2024	19	A	San Jose Giants	—	255	233	65	12	3	6	14	48	6	8	3	279	336	433	769	155	326	19	5	340	116	+5	+0	—	—	+6	1.1
2024	19	ROK	ACL Giants	—	90	76	25	4	0	4	8	15	4	1	1	329	420	539	960	211	356	17	9	415	167	+7	-0	—	—	+2	0.9
2025	20	A	San Jose Giants	—	561	516	139	32	4	10	33	105	7	26	6	269	322	405	727	136	319	19	6	322	104	+3	+3	—	—	+12	1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Giants Orange	—	88	80	20	1	0	2	4	14	3	1	3	250	310	338	648	88	280	16	5	301	90	-1	-1	—	—	+2	-0.0
2024	19	A MLE	San Jose Giants	—	255	237	55	9	2	5	10	67	6	8	3	232	281	350	631	118	300	26	4	280	76	-7	+0	—	—	+6	-0.1
2024	19	ROK MLE	ACL Giants	—	90	79	21	3	0	3	5	22	4	1	1	266	341	418	759	152	295	24	6	311	97	-0	-0	—	—	+2	0.1
2025	20	A MLE	San Jose Giants	—	561	528	110	22	3	6	21	146	7	26	6	208	248	295	544	87	269	26	4	239	48	-35	+3	—	—	+12	-2.0
2023	18	ROK MLE	DSL Giants Orange	—	88	80	20	1	0	2	4	14	3	1	3	250	310	338	648	88	277	16	5	301	90	—	—	—	—	—	—
2023	18	ROK RAW	DSL Giants Orange	—	88	77	24	2	0	3	7	10	3	1	3	312	391	455	845	143	323	11	8	376	90	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	345	316	76	12	2	8	15	89	10	9	4	241	296	367	663	127	305	26	4	288	81	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	345	309	90	16	3	10	22	63	10	9	4	291	358	460	817	168	333	18	6	360	81	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	561	528	110	22	3	6	21	146	7	26	6	208	248	295	544	87	274	26	4	239	48	—	—	—	—	—	—
2025	20	A RAW	San Jose Giants	—	561	516	139	32	4	10	33	105	7	26	6	269	322	405	727	136	319	19	6	322	48	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Orange	—	88	81	20	1	0	2	4	14	3	1	3	247	310	333	644	86	280	16	5	301	90	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	345	317	76	12	2	8	15	89	10	9	4	240	296	366	662	126	299	26	4	288	81	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	561	528	110	22	3	6	21	146	7	26	6	208	248	295	544	87	269	26	4	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Giants Orange	—	88	81	20	1	0	2	4	14	3	1	3	247	310	333	644	86	280	16	5	301	90	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	345	317	76	12	2	8	15	89	10	9	4	240	296	366	662	126	299	26	4	288	81	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	561	528	110	22	3	6	21	146	7	26	6	208	248	295	544	87	269	26	4	239	48	—	—	—	—	—	—
YTD	21	A+ MLE	SF	—	478	457	96	13	2	21	12	121	3	16	7	210	235	385	620	175	234	25	3	260	62	-22	+0	+0	-3	+10	-1.4
▸ 2026 season
YTD	21	A RAW	SF	—	28	24	6	0	0	3	4	5	0	0	0	250	357	625	982	375	188	18	14	420	62	—	—	—	—	—	—
YTD	21	A+ RAW	SF	—	360	341	97	17	2	21	13	60	2	9	7	284	314	531	845	246	289	17	4	364	62	—	—	—	—	—	—
YTD	21	AA RAW	SF	—	90	84	15	1	0	2	2	25	1	7	0	179	207	262	469	83	217	28	2	205	62	—	—	—	—	—	—
ROS	21	A+ MLE	SF	0%	9	9	1	0	0	0	0	2	0	0	0	111	111	111	222		253	22	0	264	65	-0	+0	+0	-0	+0	-0.0
TOT	21	A+ MLE	SF	—	487	466	97	13	2	21	12	123	3	16	7	208	233	380	613	172	232	25	2	260	62	-22	+0	+0	-3	+11	-1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	SF	25%	568	537	116	19	2	19	21	141	5	13	5	216	252	365	617	149	257	25	4	276	73	-18	+1	+1	-3	+12	-0.8
2028	23	MLB MLE	SF	38%	597	562	126	21	3	21	25	144	5	13	5	224	264	384	648	160	260	24	4	285	79	-15	+1	+1	-4	+13	-0.4
2029	24	MLB MLE	SF	44%	615	577	132	22	3	23	28	146	5	14	5	229	270	397	667	168	262	24	5	291	83	-13	+1	+2	-4	+13	-0.1
2030	25	MLB MLE	SF	47%	627	586	134	22	3	23	30	148	6	14	5	229	273	394	668	166	263	24	5	294	85	-11	+1	+2	-4	+14	0.1
2031	26	MLB MLE	SF	49%	634	592	136	22	3	24	31	149	6	14	5	230	275	399	674	169	263	24	5	295	86	-11	+1	+2	-4	+14	0.2
2032	27	MLB MLE	SF	49%	634	592	135	22	3	24	31	150	6	14	5	228	273	397	670	169	263	24	5	295	86	-11	+1	+2	-4	+14	0.2
2033	28	MLB MLE	SF	49%	629	586	134	22	3	24	32	149	6	13	5	229	276	399	675	171	262	24	5	294	85	-11	+1	+1	-4	+14	0.0
2034	29	MLB MLE	SF	48%	619	576	130	21	2	23	32	148	6	12	5	226	274	389	663	163	262	24	5	292	84	-12	+0	+0	-4	+13	-0.2
2035	30	MLB MLE	SF	48%	609	568	127	21	2	22	31	147	5	11	4	224	270	384	654	160	260	24	5	289	82	-13	+1	-1	-4	+13	-0.4
2027	22	MLB CTX	SF	25%	143	136	30	5	1	5	5	35	1	3	1	221	254	382	636	162	252	24	3	261	73	-5	+0	+0	-1	+3	-0.2
2028	23	MLB CTX	SF	38%	229	215	48	8	1	8	10	55	2	5	2	223	264	381	646	158	255	24	4	270	79	-6	+0	+1	-1	+5	-0.1
2029	24	MLB CTX	SF	44%	271	255	55	9	1	9	12	64	2	6	2	216	257	365	621	149	257	24	4	275	83	-6	+0	+1	-2	+6	-0.0
2030	25	MLB CTX	SF	47%	296	277	61	10	1	10	14	70	3	7	2	220	265	372	637	152	258	24	5	278	85	-5	+1	+1	-2	+6	0.1
2031	26	MLB CTX	SF	49%	311	290	65	11	1	11	15	73	3	7	3	224	269	383	652	159	258	23	5	279	86	-5	+0	+1	-2	+7	0.1
2032	27	MLB CTX	SF	49%	312	291	65	11	1	11	15	74	3	7	3	223	269	381	650	158	257	24	5	280	86	-5	+0	+1	-2	+7	0.1
2033	28	MLB CTX	SF	49%	309	287	63	10	1	11	16	73	3	6	2	220	268	376	644	157	257	24	5	279	85	-5	+0	+0	-2	+7	0.0
2034	29	MLB CTX	SF	48%	298	278	61	10	1	10	15	71	3	6	2	219	267	371	637	151	256	24	5	277	84	-6	+0	+0	-2	+6	-0.1
2035	30	MLB CTX	SF	48%	289	269	59	10	1	10	15	70	3	5	2	219	268	375	644	156	255	24	5	274	82	-6	+0	-0	-2	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2458	2298	507	84	9	85	117	585	23	52	19	221	265	376	641	155	257	24	5	276	80	-49	+3	+4	-15	+53	-0.4
/ 162G	—	A+C		—	650	608	133	22	2	22	31	155	6	14	5	219	264	370	634	151	256	24	5	276	80	-13	+1	+1	-4	+14	-0.1
Career	—	MLE		—	6535	6109	1377	227	29	219	301	1573	70	154	57	225	270	380	649	154	266	24	5	286	80	-115	+6	+10	-33	+120	-1.3
/ 162G	—	MLE		—	650	608	138	23	3	22	30	156	7	15	6	227	272	383	655	156	267	24	5	286	80	-13	+1	+1	-4	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13
#2Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#3Jeff Francoeurlast yr '16 career totals — 11 seasons, 5,633 PA	8.5	5,633	160	54	262	304	417	-60	-26	6.8	9.0
/162	664	19	6	-7.1	-3.1	0.8	pk7: 11
#4Michael 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
#5Gregory 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.7	2,461	91	52	227	269	393	-15	+8	0.7	0.8
/162	664	25	14	-4.0	+2.2	0.2	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
Lisbel Diaz (OGILVIE)	21	45	45	55	39	210/241/355	144	253	10	9	26%	3%	65	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Matos 2023 · A	21	42→52	44→50	49→50	41	209/250/324	114	243	12	12	20%	4%	60	-1.6	231/282/369	138	250	16	12	15%	6%	83	+0.1	237/289/389	152	247	18	13	13%	6%	88	+0.4
✕Christian Villanueva 2012 · A	21	44→46	43→55	53→50	40	217/263/333	116	270	11	16	24%	5%	67	-1.1	216/266/341	125	279	12	9	27%	5%	70	-0.8	223/280/397	174	256	23	3	23%	6%	88	+0.3
✕Felix Reyes 2022 · A	21	41→51	43→50	49→45	38	202/267/313	110	283	10	12	31%	5%	65	-1.2	202/243/314	112	256	13	7	26%	4%	55	-1.9	240/273/379	139	275	15	8	19%	4%	81	-0.0
✕Ceddanne Rafaela 2022 · A	21	42→52	46→55	59→55	39	213/256/347	134	267	12	15	26%	4%	68	-1.0	239/275/393	154	305	16	22	27%	4%	85	+0.2	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Daz Cameron 2018 · A	21	40→45	45→50	53→55	40	202/262/329	127	284	11	19	32%	6%	66	-1.1	201/268/318	117	295	9	17	33%	7%	66	-1.1	225/296/393	168	284	19	27	27%	8%	91	+0.3
●Alonzo Harris 2010 · A	21	41→51	45→50	50→60	37	208/249/324	116	280	14	12	31%	5%	59	-1.6	215/255/309	94	284	8	15	26%	4%	57	-1.8	235/291/381	146	283	16	35	22%	7%	87	+0.3
✕A.J. Vukovich 2022 · A	21	43→51	46→50	51→55	34	214/255/339	125	314	14	13	36%	4%	65	-1.2	217/258/346	129	312	15	18	34%	5%	68	-1.0	231/284/378	147	335	17	2	35%	6%	82	+0.0
✕Eguy Rosario 2021 · A	21	44→52	42→55	49→55	39	214/259/321	107	292	9	12	29%	5%	63	-1.4	228/287/365	137	303	13	20	28%	7%	84	+0.1	224/286/367	142	294	14	21	28%	7%	82	-0.0
✕Cayden Wallace 2023 · A	21	46→48	42→50	56→50	42	223/275/338	115	301	9	15	28%	6%	72	-0.7	214/270/329	115	284	10	12	27%	6%	69	-0.9	226/275/366	139	277	16	14	24%	5%	77	-0.3
✕Michael A. Taylor 2012 · A	21	39→49	44→55	49→60	36	196/239/313	117	273	11	12	32%	5%	53	-2.1	203/255/318	115	309	10	22	35%	6%	61	-1.5	240/298/383	143	310	19	14	28%	7%	90	+0.5
✕Matthew Lugo 2023 · A	22	47→48	45→55	53→50	40	232/277/359	128	297	12	13	26%	5%	78	-0.3	216/265/358	142	298	14	14	31%	5%	74	-0.6	207/265/367	160	289	17	16	33%	6%	73	-0.5
✕Andrew Toles 2013 · A	21	43→53	45	51→60	38	218/253/346	128	271	12	13	25%	4%	65	-1.2	243/273/340	97	327	4	28	26%	3%	71	-0.8	278/315/421	143	341	12	14	22%	4%	102	+0.7
✕Ryan Vilade 2021 · A	22	47→51	41→55	51→50	46	226/283/325	100	287	8	13	24%	7%	72	-0.7	221/279/309	88	288	6	11	24%	7%	67	-1.1	225/289/385	159	278	18	15	25%	7%	87	+0.3
●Leandro Castro 2011 · A	22	43→53	43→50	49→50	39	215/250/330	114	265	9	12	23%	4%	61	-1.5	227/254/339	112	272	10	14	20%	3%	64	-1.3	244/286/386	143	268	16	11	16%	5%	85	+0.2
✕José Rodríguez 2021 · A	20	42→52	43→50	52→55	37	212/244/323	111	275	11	11	28%	4%	57	-1.8	241/273/367	126	290	13	24	21%	4%	78	-0.3	239/270/366	127	286	14	29	22%	4%	74	-0.5
✕Brandon Short 2010 · A	21	49→53	41→45	52→50	40	232/279/332	100	310	7	12	27%	5%	72	-0.7	242/284/359	117	324	11	10	28%	4%	81	-0.1	234/281/351	117	307	10	10	26%	4%	75	-0.4
✕Evan Van Hoosier 2015 · A	21	46→47	44→50	56→50	44	227/279/354	127	284	10	10	23%	6%	78	-0.3	229/273/336	107	306	6	9	26%	5%	70	-0.8	232/274/341	110	322	5	10	28%	4%	70	-0.3
✕Cody Freeman 2022 · A	21	43→53	41→50	53→50	48	209/283/307	98	259	8	11	22%	8%	70	-0.9	206/261/321	115	251	13	9	23%	6%	63	-1.3	248/292/385	137	277	15	10	16%	5%	89	+0.4
✕Eduardo Diaz 2018 · A	21	46→45	41→50	53→50	40	225/271/329	104	291	8	14	25%	5%	69	-0.9	213/256/317	104	294	9	11	29%	4%	60	-1.6	198/242/328	129	270	15	12	32%	4%	56	-1.0
✕Alfredo Silverio 2008 · A	21	47→51	44→55	48→50	40	230/269/346	115	287	11	7	24%	4%	72	-0.7	224/248/346	122	288	12	6	26%	3%	64	-1.3	239/264/398	159	289	14	8	22%	3%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps