Lisbel Diaz

OF Eugene Emeralds

Age 22 R/R 6'2" / 204 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

Scout OFP40ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ASF	561	.269/.322/.405	10	26	52	—	.216/.255/.307
2026	21	AASF	94	.193/.220/.284	2	8	19	—	.182/.209/.273
2026	21	A+SF	360	.284/.314/.531	21	9	87	—	.243/.266/.442
2027PROJ0% MLB	22	MLBSF	2	.219/.250/.365	0	0	74	-0.0
2028PROJ25% MLB	23	MLBSF	135	.222/.256/.373	4	3	78	-0.1
2029PROJ36% MLB	24	MLBSF	209	.225/.261/.379	7	5	82	-0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2026 AA

Speed45

K%38

Z-Con%37

Whiff%35

ISO17

wOBA4

Career WAR0 WAR median (P10 -0 / P90 9, comp-based) · star 1% · didn't stick 67%

CompsA.J. Vukovich (age 22) · Yu Chang (age 22) · Ceddanne Rafaela (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†74

AVG/OBP/SLG.219 / .250 / .365

PA2

HR0

K%50

BB%3

BABIP267

ISO151

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 45 / POW 50

Toolsscout grade

CONTACT45

scouting grade only

POWER50

scouting grade only

EYE38

scouting grade only

SPEED55

scouting grade only

DEFENSE55

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
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	$0.9M	—	—	—
2034	Arb-1	$3M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$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. 2027 = actual YTD + projected ROS + total. 2028+ 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	59	—	—	—	—	—	—
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	82	—	—	—	—	—	—
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	99	—	—	—	—	—	—
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	52	—	—	—	—	—	—
2026	21	AA	Richmond Flying Squirrels	—	94	88	17	2	0	2	2	25	1	8	1	193	220	284	504	91	234	27	2	219	19	—	—	—	—	—	—
2026	21	A+	Eugene Emeralds	—	360	341	97	17	2	21	13	60	2	9	7	284	314	531	845	246	289	17	4	364	87	—	—	—	—	—	—
2026	21	A	San Jose Giants	—	28	24	6	0	0	3	4	5	0	0	0	250	357	625	982	375	188	18	14	420	105	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	DSL Giants Orange	—	88	79	17	1	0	2	5	12	3	1	3	215	287	304	591	89	231	14	6	256	59	—	—	—	—	—	—
2024	19	A MLE	San Jose Giants	—	255	237	59	10	3	5	10	68	6	8	3	249	296	380	676	131	319	27	4	289	82	—	—	—	—	—	—
2024	19	ROK MLE	ACL Giants	—	90	79	21	3	0	3	5	22	4	1	1	266	341	418	759	152	298	24	6	314	99	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	561	528	114	22	4	6	21	149	7	26	6	216	255	307	562	91	281	27	4	245	52	—	—	—	—	—	—
2026	21	AA MLE	Richmond Flying Squirrels	—	94	88	16	2	0	2	2	30	1	8	1	182	209	273	482	91	227	32	2	197	19	—	—	—	—	—	—
2026	21	A+ MLE	Eugene Emeralds	—	360	346	84	14	2	17	9	81	2	9	7	243	266	442	708	199	259	22	2	297	87	—	—	—	—	—	—
2026	21	A MLE	San Jose Giants	—	28	25	5	0	0	2	3	7	0	0	0	200	286	440	726	240	169	25	11	323	105	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Orange	—	88	79	17	1	0	2	5	12	3	1	3	215	287	304	591	89	227	14	6	256	59	—	—	—	—	—	—
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	59	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	345	316	80	13	3	8	15	90	10	9	4	253	308	389	697	136	324	26	4	296	86	—	—	—	—	—	—
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	86	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	561	528	114	22	4	6	21	149	7	26	6	216	255	307	562	91	286	27	4	245	52	—	—	—	—	—	—
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	52	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	482	460	104	15	2	21	13	118	3	17	8	226	252	404	656	178	254	24	3	279	75	—	—	—	—	—	—
2026	21	A+ RAW	3 teams	—	482	453	120	19	2	26	19	90	3	17	8	265	298	488	786	223	274	19	4	339	75	—	—	—	—	—	—
2023	18	ROK MLE	DSL Giants Orange	—	88	80	17	1	0	2	5	12	3	1	3	212	287	300	587	87	231	14	6	256	59	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	345	317	80	13	3	8	15	90	10	9	4	252	308	388	696	136	314	26	4	296	86	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	561	528	114	22	4	6	21	149	7	26	6	216	255	307	562	91	281	27	4	245	52	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	482	463	104	15	2	21	13	118	3	17	8	225	252	402	654	177	248	24	3	279	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	2 teams	—	345	317	80	13	3	8	15	90	10	9	4	252	308	388	696	136	314	26	4	296	86	—	—	—	—	—	—
2025	20	A MLE	San Jose Giants	—	561	528	114	22	4	6	21	149	7	26	6	216	255	307	562	91	281	27	4	245	52	—	—	—	—	—	—
2026	21	A+ MLE	3 teams	—	482	463	104	15	2	21	13	118	3	17	8	225	252	402	654	177	248	24	3	279	75	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	SF	0%	592	563	126	21	3	20	19	157	5	14	5	223	254	377	631	154	271	27	3	277	74	-19	+1	+1	-4	+13	-0.2
▸ 2027 — real world (MLB)
2027	22	MLB CTX	SF	0%	2	2	0	0	0	0	0	1	0	0	0	219	250	365	614	146	267	50	0	270	74	-0	+0	+0	-0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	SF	25%	539	511	116	20	2	19	19	140	4	13	5	227	261	386	647	159	272	26	4	284	78	-14	+1	+1	-3	+12	-0.4
2029	24	MLB MLE	SF	36%	575	543	125	21	3	21	22	147	5	13	5	230	266	393	659	163	274	26	4	289	82	-12	+1	+1	-3	+12	-0.1
2030	25	MLB MLE	SF	43%	597	562	131	22	3	22	25	151	5	13	5	231	270	395	665	164	275	25	4	292	84	-11	+1	+1	-4	+13	-0.0
2031	26	MLB MLE	SF	47%	608	571	133	23	3	22	27	153	5	13	5	232	272	396	668	164	275	25	4	294	85	-11	+1	+2	-4	+13	0.1
2032	27	MLB MLE	SF	48%	611	572	133	23	3	22	29	154	5	13	5	231	274	394	668	162	276	25	5	294	85	-11	+1	+2	-4	+13	0.1
2033	28	MLB MLE	SF	48%	607	569	131	22	3	21	28	154	5	11	5	230	272	389	661	160	275	25	5	291	83	-12	+0	+1	-4	+13	-0.2
2034	29	MLB MLE	SF	48%	599	561	127	22	2	20	28	154	5	9	4	227	269	383	652	156	273	26	5	287	81	-14	+0	+0	-4	+13	-0.4
2028	23	MLB CTX	SF	25%	135	128	29	5	1	4	5	35	1	3	1	222	256	373	629	151	268	26	4	277	78	-3	+0	+0	-1	+3	-0.1
2029	24	MLB CTX	SF	36%	209	197	45	8	1	7	8	53	2	5	2	225	261	379	641	154	270	25	4	282	82	-5	+0	+1	-1	+5	-0.1
2030	25	MLB CTX	SF	43%	256	241	55	10	1	9	11	65	2	6	2	226	265	382	647	156	271	25	4	285	84	-5	+0	+1	-2	+6	0.0
2031	26	MLB CTX	SF	47%	283	266	60	11	1	9	13	71	2	6	2	227	268	382	650	156	271	25	5	286	85	-5	+0	+1	-2	+6	0.0
2032	27	MLB CTX	SF	48%	291	273	62	11	1	10	14	73	2	6	2	226	269	380	650	154	272	25	5	286	85	-5	+0	+1	-2	+6	0.0
2033	28	MLB CTX	SF	48%	293	275	61	11	1	9	14	74	2	5	2	225	267	376	643	151	271	25	5	284	83	-6	+0	+0	-2	+6	-0.1
2034	29	MLB CTX	SF	48%	285	268	59	10	1	9	13	73	2	4	2	222	264	370	635	148	269	26	5	280	81	-7	+0	+0	-2	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1752	1648	371	66	7	57	78	444	13	35	13	225	266	377	643	152	272	25	4	283	78	-36	+2	+3	-11	+38	-0.3
/ 162G	—	A+C		—	650	611	137	24	3	21	29	165	5	13	5	224	265	376	642	152	271	25	4	283	78	-13	+1	+1	-4	+14	-0.1
Career	—	MLE		—	5932	5576	1278	215	29	195	242	1507	60	145	58	229	269	383	652	154	277	25	4	284	78	-96	+4	+9	-27	+97	-1.4
/ 162G	—	MLE		—	650	611	140	24	3	21	27	165	7	16	6	229	270	381	652	152	277	25	4	284	78	-14	+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
#2Frank Isbell'01-'09 * career totals — 9 seasons, 4,483 PA	6.8	4,483	13	250	248*	300*	403*	-42	+24	9.5	10.1
/162	664	2	37	-6.2	+3.6	1.4	pk7: 11
#3Willie Kirkland'58-'66 * career totals — 9 seasons, 3,882 PA	5.8	3,882	148	52	237*	302*	437*	-37	-0	8.1	8.5
/162	664	25	9	-6.3	-0.1	1.4	pk7: 9
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.6	1,753	62	36	231	268	393	-11	+6	0.4	0.4
/162	664	23	14	-4.0	+2.3	0.1	pk7: 0
#6Phil Todt'24-'31 * career totals — 8 seasons, 3,765 PA	5.7	3,765	57	29	228*	277*	399*	-67	+17	-2.8	-1.9
/162	664	10	5	-11.8	+3.0	-0.5	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)	22	45	50	55	38	221/252/374	153	271	11	7	27%	3%	74	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕A.J. Vukovich 2023 · AA	22	45→52	48→50	56→55	34	228/260/366	137	312	17	21	32%	4%	74	-0.6	230/279/368	138	334	15	13	34%	6%	81	-0.1	242/296/390	149	347	17	2	33%	6%	89	+0.4
✕Yu Chang 2018 · AA	22	38→47	50	49→45	40	199/259/356	156	271	17	9	33%	6%	72	-0.7	217/277/354	137	301	14	7	31%	7%	78	-0.3	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Ceddanne Rafaela 2023 · AA	22	47→55	50→55	58→55	37	238/275/402	164	298	17	19	26%	4%	88	+0.4	245/282/399	154	307	17	23	25%	4%	90	+0.6	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Eliseo Aldazaba 2013 · AAA	22	44→47	46→55	50	36	222/262/350	128	303	14	15	31%	4%	70	-0.8	227/274/376	149	294	17	13	28%	5%	82	-0.0	222/275/379	157	277	20	12	27%	5%	81	-0.0
✕Ryan Bliss 2022 · A	22	43→51	47→50	51→60	39	215/265/348	133	294	15	16	31%	6%	72	-0.7	215/279/342	127	288	12	32	28%	7%	76	-0.4	232/299/362	129	300	10	41	25%	7%	85	+0.2
✕Eric Campbell 2008 · A	22	42→48	53→55	48→50	43	223/270/391	167	249	22	10	21%	5%	84	+0.1	219/276/354	135	249	16	5	19%	7%	77	-0.3	226/287/373	148	253	18	3	18%	7%	84	+0.1
✕Matthew Lugo 2023 · A	22	47→50	46→55	52→50	40	233/278/366	133	296	13	13	26%	5%	80	-0.2	225/274/372	147	307	15	14	30%	5%	80	-0.1	219/277/384	165	302	17	15	32%	6%	81	-0.1
✕Brian Cavazos-Galvez 2010 · A	23	43→51	53→55	48→55	38	226/258/401	174	252	20	12	20%	3%	82	-0.0	240/266/393	153	268	16	18	17%	2%	82	+0.0	245/269/400	155	271	16	19	17%	2%	82	-0.0
✕Chris Colton 2006 · A	23	47→48	49→55	48→50	40	241/280/389	148	294	17	12	24%	4%	86	+0.3	219/269/341	122	285	12	12	26%	6%	72	-0.7	204/259/319	115	266	11	12	27%	7%	61	-0.8
✕Jhonkensy Noel 2023 · AAA	22	39→42	56→55	48→45	38	216/269/403	187	280	25	5	33%	6%	86	+0.3	210/269/381	171	269	23	3	31%	6%	82	-0.0	201/256/375	174	256	24	1	32%	5%	73	-0.4
●Trayce Thompson 2013 · AAA	22	37→47	52→60	51→50	36	196/253/362	166	291	20	10	39%	6%	71	-0.8	204/264/347	143	283	15	15	32%	7%	72	-0.7	203/291/407	204	286	27	7	37%	10%	95	+0.6
✕Jeremiah Jackson 2023 · AA	23	38→48	49→55	48→55	42	201/265/351	150	272	17	12	32%	7%	73	-0.6	221/268/376	155	290	20	15	30%	6%	80	-0.2	231/272/390	159	293	20	15	28%	5%	82	+0.0
✕Luis Jimenez 2010 · A	22	42→50	48→60	51→50	40	218/249/367	150	247	15	8	20%	3%	70	-0.8	240/272/402	162	272	16	13	18%	3%	86	+0.3	244/275/408	163	272	17	15	17%	3%	87	+0.4
✕John Shelby 2008 · A	22	48→52	47→55	51→55	41	238/276/383	146	285	13	10	22%	4%	83	+0.1	228/266/373	145	288	13	20	25%	4%	78	-0.3	219/257/362	144	280	13	23	26%	4%	69	-0.7
✕Samar Leyva 2016 · AAA	21	42→52	51→40	49→50	40	224/261/377	152	265	20	9	24%	4%	77	-0.3	240/281/325	85	290	6	10	19%	4%	71	-0.8	251/288/343	92	295	6	13	16%	2%	75	-0.3
✕Jordan Beck 2024 · AA	23	43→49	51→50	50	46	220/290/383	163	296	19	13	31%	9%	89	+0.5	226/286/364	138	314	14	16	31%	8%	83	+0.1	224/283/356	132	309	13	18	30%	7%	80	-0.1
✕D.J. Peterson 2014 · A	22	46→45	53→55	51→40	39	236/282/406	170	311	21	7	31%	6%	91	+0.7	228/276/390	162	295	20	5	29%	6%	86	+0.3	223/272/380	157	287	19	4	29%	5%	78	-0.2
✕Alexander Canario 2022 · A	22	37→36	50→60	50	36	195/243/346	150	282	18	14	37%	6%	63	-1.4	213/276/401	188	298	24	14	35%	7%	89	+0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Josh Vitters 2011 · AA	21	45→51	47→50	49→45	39	230/270/361	132	270	15	7	22%	4%	76	-0.4	237/279/382	145	276	16	7	20%	4%	84	+0.2	238/282/389	150	274	17	6	20%	4%	86	+0.2
✕Bryan Ramos 2024 · AA	22	42	50	44→50	43	221/284/370	149	272	19	5	27%	7%	84	+0.2	204/271/322	118	262	13	10	27%	7%	69	-0.9	190/263/293	103	246	11	12	27%	7%	56	-1.3

Lisbel Diaz

Career Stats + Projections

Career Comps

Career Path Comps