Lorenzo Meola

SS San Jose Giants

Age 23 R/R 5'11" / 180 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

Scout OFP42ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ASF	70	.273/.314/.470	3	3	46	—	.209/.243/.343
2026	22	ASF	547	.269/.357/.468	15	17	73	—	.211/.283/.358
2027PROJ0% MLB	23	MLBSF	544	.219/.282/.351	12	11	78	0.7
2028PROJ38% MLB	24	MLBSF	186	.218/.282/.348	4	4	81	0.4
2029PROJ55% MLB	25	MLBSF	288	.220/.284/.352	6	6	82	0.6

Next 3 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

ISO79

Speed76

Whiff%64

wOBA62

Z-Con%58

wRC+55

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 1% · didn't stick 95%

CompsJeferson Morales (age 23) · Alex Isola (age 23) · Tommy Field (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 320 proj PA

wRC+†78

AVG/OBP/SLG.218 / .279 / .348

PA320

HR7

SB6

K%27

BB%6

ISO132

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$32M ctrl surplus

Tools · ContractCON 45 / POW 42

Toolsscout grade

CONTACT45

scouting grade only

POWER42

scouting grade only

EYE48

scouting grade only

SPEED55

scouting grade only

DEFENSE60

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
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	$0.9M	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$5M	+$3M

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)
2025	21	A	San Jose Giants	—	70	66	18	4	0	3	4	17	0	3	1	273	314	470	784	197	326	24	6	345	46	—	—	—	—	—	—
2026	22	A	San Jose Giants	—	547	476	128	40	5	15	52	133	13	17	5	269	357	468	825	200	338	24	10	362	73	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	San Jose Giants	—	70	67	14	3	0	2	3	24	0	3	1	209	243	343	586	134	288	34	4	236	46	—	—	—	—	—	—
2026	22	A MLE	San Jose Giants	—	547	492	104	31	4	11	36	181	13	17	5	211	283	358	641	146	293	33	7	276	73	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	70	67	14	3	0	2	3	24	0	3	1	209	243	343	586	134	293	34	4	236	46	—	—	—	—	—	—
2025	21	A RAW	San Jose Giants	—	70	66	18	4	0	3	4	17	0	3	1	273	314	470	784	197	326	24	6	345	46	—	—	—	—	—	—
2026	22	A MLE	San Jose Giants	—	547	492	104	31	4	11	36	181	13	17	5	211	283	358	641	146	304	33	7	276	73	—	—	—	—	—	—
2026	22	A RAW	San Jose Giants	—	547	476	128	40	5	15	52	133	13	17	5	269	357	468	825	200	338	24	10	362	73	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	70	67	14	3	0	2	3	24	0	3	1	209	243	343	586	134	288	34	4	236	46	—	—	—	—	—	—
2026	22	A MLE	San Jose Giants	—	547	493	104	31	4	11	36	181	13	17	5	211	283	357	640	146	293	33	7	276	73	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	San Jose Giants	—	70	67	14	3	0	2	3	24	0	3	1	209	243	343	586	134	288	34	4	236	46	—	—	—	—	—	—
2026	22	A MLE	San Jose Giants	—	547	493	104	31	4	11	36	181	13	17	5	211	283	357	640	146	293	33	7	276	73	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	SF	0%	544	496	110	25	3	12	35	144	8	11	3	219	282	351	633	132	282	26	6	283	78	-14	+1	+4	+6	+12	0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	SF	38%	493	450	100	22	3	11	33	129	7	10	3	222	285	358	643	135	284	26	7	287	81	-11	+1	+4	+5	+11	0.9
2029	25	MLB MLE	SF	55%	521	474	107	24	3	12	35	135	7	11	3	224	288	362	649	138	284	26	7	290	82	-11	+1	+4	+6	+11	1.1
2030	26	MLB MLE	SF	64%	536	487	110	24	3	13	37	138	7	11	3	225	289	364	653	139	284	26	7	292	83	-11	+1	+4	+6	+12	1.2
2031	27	MLB MLE	SF	66%	542	492	111	24	3	13	38	139	7	11	3	225	290	363	653	139	284	26	7	292	84	-11	+1	+4	+6	+12	1.3
2032	28	MLB MLE	SF	67%	540	490	111	24	3	13	38	139	7	10	3	224	290	361	651	137	284	26	7	291	83	-11	+1	+4	+6	+12	1.1
2033	29	MLB MLE	SF	66%	532	483	108	24	3	12	37	138	7	9	3	222	287	356	642	134	283	26	7	288	81	-12	+1	+3	+6	+12	0.9
2034	30	MLB MLE	SF	65%	523	476	105	23	3	11	36	138	6	8	3	219	283	348	632	129	281	26	7	283	78	-14	+0	+2	+6	+11	0.6
2035	31	MLB MLE	SF	65%	510	464	100	22	2	10	35	136	6	7	4	215	279	339	618	124	278	27	7	277	74	-16	-0	+1	+5	+11	0.2
2028	24	MLB CTX	SF	38%	186	169	37	8	1	4	12	49	3	4	1	218	282	348	630	130	280	26	6	282	81	-4	+0	+1	+2	+4	0.4
2029	25	MLB CTX	SF	55%	288	262	58	13	2	6	20	75	4	6	2	220	284	352	636	132	281	26	7	285	82	-6	+0	+2	+3	+6	0.6
2030	26	MLB CTX	SF	64%	341	309	68	15	2	7	24	88	5	7	2	221	286	354	640	133	281	26	7	286	83	-7	+1	+3	+4	+7	0.8
2031	27	MLB CTX	SF	66%	356	323	72	16	2	8	25	91	5	7	2	221	286	354	640	133	281	26	7	287	84	-7	+1	+3	+4	+8	0.8
2032	28	MLB CTX	SF	67%	361	327	72	16	2	8	26	93	5	7	2	220	286	352	638	131	280	26	7	286	83	-7	+1	+2	+4	+8	0.8
2033	29	MLB CTX	SF	66%	350	318	70	16	2	7	25	91	4	6	2	218	283	346	630	128	279	26	7	282	81	-8	+0	+2	+4	+8	0.6
2034	30	MLB CTX	SF	65%	341	310	68	15	2	7	24	90	4	5	2	215	280	339	619	124	278	26	7	278	78	-9	+0	+1	+4	+7	0.4
2035	31	MLB CTX	SF	65%	330	300	64	14	2	6	23	88	4	4	3	212	275	331	606	119	275	27	7	273	74	-10	-0	+1	+4	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2553	2318	509	113	15	53	179	665	34	46	16	220	285	350	635	130	283	26	7	282	79	-58	+3	+15	+27	+55	4.3
/ 162G	—	A+C		—	650	590	130	29	4	13	46	169	9	12	4	220	287	349	636	129	284	26	7	282	79	-15	+1	+4	+7	+14	1.1
Career	—	MLE		—	5134	4666	1035	236	29	115	349	1382	72	103	33	222	286	359	645	137	287	27	7	285	79	-105	+6	+28	+48	+98	7.8
/ 162G	—	MLE		—	650	591	132	30	4	15	44	175	9	13	4	223	287	364	651	140	289	27	7	285	79	-15	+1	+4	+7	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4George Strickland'50-'60 * career totals — 8 seasons, 3,266 PA	4.9	3,266	36	12	219*	302*	329*	+28	+19	3.8	5.0
/162	664	7	2	+5.7	+3.8	0.8	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.3	2,873	64	53	223	284	357	+31	+24	4.7	4.5
/162	664	15	12	+7.1	+5.5	1.1	pk7: 4
#5Lennie Merullo'41-'47 * career totals — 6 seasons, 2,264 PA	3.4	2,264	6	38	234*	283*	339*	+24	+15	3.3	3.3
/162	664	2	11	+7.1	+4.4	1.0	pk7: 3
#6Lena Blackburne'10-'27 * career totals — 5 seasons, 2,086 PA	3.1	2,086	4	54	215*	288*	334*	+13	+11	2.0	2.0
/162	664	1	17	+4.2	+3.4	0.6	pk7: 2

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
Lorenzo Meola (OGILVIE)	23	45	42	55	48	218/279/348	131	282	7	6	27%	6%	78	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeferson Morales 2022 · A	23	41→47	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	206/282/335	129	268	13	9	27%	7%	76	-0.4	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Alex Isola 2021 · A	23	46→44	45→50	49→40	44	228/280/350	122	288	12	8	25%	6%	77	-0.3	216/283/360	144	273	19	4	27%	8%	82	-0.0	212/283/353	141	263	19	2	26%	8%	77	-0.2
✕Tommy Field 2011 · A	24	47→50	45	50→45	44	228/300/351	123	298	12	10	26%	7%	86	+0.3	229/294/350	121	293	12	8	25%	7%	83	+0.1	223/292/352	129	279	13	7	24%	7%	81	-0.0
✕Luis Santana 2023 · A	24	44	46→45	48→50	42	221/284/348	127	282	13	11	26%	6%	79	-0.2	210/265/327	117	265	13	7	25%	5%	67	-1.1	194/247/303	110	239	13	5	25%	5%	52	-1.2
✕Taylor Featherston 2013 · A	23	47→46	44→50	51→50	44	226/291/350	124	304	11	11	28%	7%	82	-0.0	221/268/359	138	289	14	12	28%	5%	75	-0.5	213/256/352	139	273	14	12	27%	4%	67	-0.8
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Paul Vasquez 2008 · A	23	47	43→45	52→30	39	231/269/343	113	305	10	10	28%	5%	72	-0.7	230/268/333	103	291	8	5	23%	3%	69	-0.9	232/265/336	104	290	8	2	22%	2%	64	-0.4
✕Nevin Ashley 2008 · A	23	49→50	44→45	52→45	43	240/297/357	117	315	11	12	27%	7%	85	+0.2	215/287/306	91	295	7	8	28%	7%	70	-0.8	223/291/337	115	286	11	4	25%	6%	77	-0.2
✕Jack Marder 2012 · A	22	48	44→45	49→50	41	235/292/354	119	291	11	12	23%	4%	83	+0.1	240/299/357	117	292	10	13	21%	5%	86	+0.3	238/300/350	112	289	10	12	20%	5%	83	+0.0
✕Tony Delmonico 2010 · A	23	47→48	46→45	51→40	44	231/303/365	134	302	13	5	27%	7%	90	+0.6	225/310/332	107	300	11	5	27%	8%	86	+0.3	222/317/325	102	291	11	3	25%	9%	85	+0.1
✕Michael Guldberg 2022 · A	23	45	44→45	55	44	222/290/341	119	280	12	16	24%	7%	80	-0.2	214/272/298	84	283	6	12	25%	6%	62	-1.4	205/259/264	60	274	3	10	25%	6%	47	-0.7
✕Jared Serna 2024 · A	22	45→48	45	53→50	45	226/284/352	126	276	13	18	23%	7%	79	-0.2	214/271/321	107	261	11	15	22%	6%	68	-1.0	202/265/300	97	245	10	16	21%	6%	58	-1.4
✕R.J. Yeager 2023 · A	24	46	45	52→50	42	229/282/351	122	291	13	8	26%	6%	78	-0.3	216/273/325	109	254	11	10	19%	6%	69	-0.9	204/262/305	101	238	11	10	19%	6%	59	-1.2
✕Seth Mejias-Brean 2013 · A	22	46→53	47→45	53→45	45	230/284/365	135	276	14	8	22%	6%	82	+0.0	238/301/345	107	300	9	5	22%	8%	84	+0.1	238/306/340	102	302	8	5	22%	8%	81	-0.1
✕Corey Toups 2016 · A	23	49→50	41→45	56→50	46	234/295/343	109	305	7	17	25%	7%	81	-0.1	217/279/332	115	309	9	16	31%	7%	73	-0.6	206/271/319	113	301	10	16	33%	7%	64	-0.9
✕Dom Keegan 2024 · A	23	46→52	46→45	48→40	45	227/296/361	134	301	13	4	28%	8%	86	+0.3	221/290/346	125	307	12	3	30%	8%	80	-0.1	206/282/324	118	294	12	3	32%	8%	71	-0.5
✕Tanner Schobel 2024 · AA	23	45→44	43→45	53→50	48	219/290/326	107	277	11	10	24%	8%	76	-0.4	200/271/309	109	265	11	11	27%	8%	65	-1.2	188/262/291	103	248	10	12	27%	8%	55	-1.4
✕Braxton Fulford 2023 · A	24	44→41	47→50	52→50	44	216/299/348	131	298	14	10	31%	8%	85	+0.2	213/288/349	136	291	14	10	30%	7%	82	-0.0	207/283/351	144	282	15	9	30%	7%	78	-0.2
✕Ronaldo Hernández 2021 · A	23	45→44	46→50	50→45	41	226/265/353	127	266	14	8	22%	4%	72	-0.7	227/267/376	149	272	18	3	24%	4%	79	-0.2	218/265/369	151	256	19	1	23%	4%	74	-0.4

Lorenzo Meola

Career Stats + Projections

Career Comps

Career Path Comps