Nomar Diaz — OGILVIE

Nomar DiazC San Jose Giants

Age 22 R/R 6'1" / 180 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 71 proj PA

wRC+†63

AVG/OBP/SLG.200 / .270 / .298

PA6

HR0

K%32

BB%8

ISO100

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M ctrl surplus

Tools · Contract

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
2026	MiLB	still in minors · estimated debut 2031
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	+0.3	$0.8M	+$0.3M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.3M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	19	ROK	ACL Giants Black	—	57	51	11	0	1	1	5	16	1	0	0	216	298	314	612	98	294	28	9	282	77	-2	+0	—	—	+1	-0.0
2024	20	ROK	ACL Giants	—	32	24	6	2	0	1	4	8	3	1	1	250	419	458	878	208	312	25	12	386	148	+2	-0	—	—	+1	0.2
2025	21	A	San Jose Giants	—	52	42	6	1	0	2	10	14	0	0	0	143	308	310	617	167	154	27	19	291	83	-1	+0	—	—	+1	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	ACL Giants Black	—	57	53	8	0	1	1	3	23	1	0	0	151	211	245	456	94	226	40	5	180	8	-6	+0	—	—	+1	-0.5
2024	20	ROK MLE	ACL Giants	—	32	26	5	2	0	1	2	12	3	1	1	192	323	385	707	192	245	38	6	277	74	-1	-0	—	—	+1	-0.1
2025	21	A MLE	San Jose Giants	—	52	45	4	1	0	1	7	20	0	0	0	89	212	178	389	89	129	38	13	195	18	-5	+0	—	—	+1	-0.4
2023	19	ROK MLE	ACL Giants Black	—	57	53	8	0	1	1	3	23	1	0	0	151	211	245	456	94	241	40	5	180	8	—	—	—	—	—	—
2023	19	ROK RAW	ACL Giants Black	—	57	51	11	0	1	1	5	16	1	0	0	216	298	314	612	98	294	28	9	282	8	—	—	—	—	—	—
2024	20	ROK MLE	ACL Giants	—	32	26	5	2	0	1	2	12	3	1	1	192	323	385	707	192	286	38	6	277	74	—	—	—	—	—	—
2024	20	ROK RAW	ACL Giants	—	32	24	6	2	0	1	4	8	3	1	1	250	419	458	878	208	312	25	12	386	74	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	52	45	4	1	0	1	7	20	0	0	0	89	212	178	389	89	125	38	13	195	18	—	—	—	—	—	—
2025	21	A RAW	San Jose Giants	—	52	42	6	1	0	2	10	14	0	0	0	143	308	310	617	167	154	27	19	291	18	—	—	—	—	—	—
2023	19	ROK MLE	ACL Giants Black	—	57	53	8	0	1	1	3	23	1	0	0	151	211	245	456	94	226	40	5	180	8	—	—	—	—	—	—
2024	20	ROK MLE	ACL Giants	—	32	27	5	2	0	1	2	12	3	1	1	185	323	370	693	185	245	38	6	277	74	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	52	45	4	1	0	1	7	20	0	0	0	89	212	178	389	89	129	38	13	195	18	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	ACL Giants Black	—	57	53	8	0	1	1	3	23	1	0	0	151	211	245	456	94	226	40	5	180	8	—	—	—	—	—	—
2024	20	ROK MLE	ACL Giants	—	32	27	5	2	0	1	2	12	3	1	1	185	323	370	693	185	245	38	6	277	74	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	52	45	4	1	0	1	7	20	0	0	0	89	212	178	389	89	129	38	13	195	18	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	SF	0%	6	6	1	0	0	0	0	2	0	0	0	167	167	167	333		289	33	0	261	63	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	34%	166	150	31	5	1	3	13	51	2	2	1	207	279	313	592	107	290	31	8	270	69	-6	+0	+0	+3	+4	0.0
2028	24	MLB MLE	SF	46%	281	253	53	9	2	5	22	85	4	3	1	209	283	320	603	111	291	30	8	276	73	-9	+0	+0	+5	+6	0.2
2029	25	MLB MLE	SF	52%	353	318	68	12	2	7	28	105	4	4	1	214	286	330	616	116	291	30	8	280	76	-10	+0	+0	+6	+8	0.4
2030	26	MLB MLE	SF	54%	400	361	78	13	3	9	31	118	5	4	1	216	287	343	631	127	291	30	8	282	77	-11	+0	+0	+7	+9	0.5
2031	27	MLB MLE	SF	54%	423	381	82	14	3	9	34	125	5	5	2	215	288	339	627	123	291	30	8	282	77	-12	+0	+0	+8	+9	0.5
2032	28	MLB MLE	SF	54%	434	391	83	14	3	9	35	129	5	5	2	212	285	332	618	120	290	30	8	281	76	-12	+0	-1	+8	+9	0.4
2033	29	MLB MLE	SF	53%	433	390	83	14	3	9	35	129	5	4	1	213	286	333	619	121	289	30	8	279	75	-13	+0	-1	+8	+9	0.3
2034	30	MLB MLE	SF	57%	429	386	82	14	3	9	35	129	5	4	1	212	286	334	621	122	288	30	8	276	73	-14	+0	-2	+8	+9	0.2
2035	31	MLB MLE	SF	59%	405	364	75	13	2	8	33	123	5	3	1	206	281	319	600	113	285	30	8	272	70	-14	+0	-3	+7	+9	-0.1
2027	23	MLB CTX	SF	34%	57	52	10	2	0	1	4	18	1	1	0	192	263	288	552	96	285	32	7	255	69	-2	+0	+0	+1	+1	0.0
2028	24	MLB CTX	SF	46%	130	117	24	4	1	2	10	39	2	1	0	205	279	308	587	103	286	30	8	261	73	-4	+0	+0	+2	+3	0.1
2029	25	MLB CTX	SF	52%	182	164	34	6	1	3	14	54	2	2	1	207	278	311	589	104	286	30	8	265	76	-5	+0	+0	+3	+4	0.2
2030	26	MLB CTX	SF	54%	217	195	40	7	1	4	17	64	3	2	1	205	279	313	592	108	286	29	8	266	77	-6	+0	+0	+4	+5	0.3
2031	27	MLB CTX	SF	54%	229	206	44	7	2	5	18	68	3	3	1	214	286	340	626	126	285	30	8	266	77	-6	+0	+0	+4	+5	0.3
2032	28	MLB CTX	SF	54%	235	211	45	7	2	5	19	70	3	2	1	213	288	336	624	123	285	30	8	266	76	-7	+0	-0	+4	+5	0.2
2033	29	MLB CTX	SF	53%	230	206	42	7	1	4	19	69	3	2	1	204	281	306	587	102	284	30	8	264	75	-7	+0	-1	+4	+5	0.2
2034	30	MLB CTX	SF	57%	244	219	45	7	2	5	20	74	3	2	1	205	281	324	605	119	283	30	8	261	73	-8	+0	-1	+4	+5	0.1
2035	31	MLB CTX	SF	59%	241	216	43	7	1	4	20	73	3	2	1	199	276	296	572	97	280	30	8	257	70	-9	+0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1765	1586	327	54	11	33	141	529	23	17	7	206	281	317	597	110	285	30	8	263	72	-54	+1	-4	+32	+38	1.3
/ 162G	—	A+C		—	650	584	120	20	4	12	52	195	8	6	3	205	280	315	595	110	284	30	8	263	72	-20	+0	-1	+12	+14	0.5
Career	—	MLE		—	3471	3124	653	111	23	71	278	1051	44	35	12	209	283	327	610	118	288	30	8	275	72	-102	+2	-7	+59	+72	2.6
/ 162G	—	MLE		—	650	585	122	21	4	13	52	197	8	7	2	209	282	325	607	116	288	30	8	275	72	-20	+0	-1	+12	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#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
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.8	1,836	37	19	212	283	330	+33	+24	2.7	2.6
/162	664	13	7	+11.9	+8.7	1.0	pk7: 2
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Nomar Diaz (OGILVIE)	22	—	—	—	—	200/270/298	99	289	1	1	32%	8%	63	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Joe DeCarlo 2016 · A	22	36→38	42→50	44→30	43	178/268/281	103	279	10	3	37%	9%	59	-1.7	196/278/333	137	279	16	3	34%	8%	74	-0.5	193/274/341	148	264	18	1	32%	8%	71	-0.5
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Pablo Aliendo 2023 · A	22	42	41→50	44→45	38	205/267/296	91	298	9	5	33%	6%	61	-1.5	198/264/334	136	299	16	5	37%	6%	69	-0.9	170/239/302	133	270	17	1	42%	5%	51	-1.0
✕Shane Zeile 2015 · A	22	41	41→50	46→40	39	205/254/304	99	281	9	5	30%	5%	57	-1.8	199/249/291	92	274	6	4	28%	5%	51	-2.2	188/237/292	105	252	6	2	27%	5%	46	-0.8
✕Zach Green 2016 · A	22	42	40→55	49→40	39	208/248/301	93	281	8	6	28%	5%	53	-2.1	203/258/334	131	317	14	3	39%	5%	66	-1.1	194/261/373	179	295	22	1	40%	7%	74	-0.3
✕Luca Tresh 2022 · A	22	44→40	41→50	49→40	39	209/261/310	102	312	8	7	35%	6%	61	-1.5	208/269/341	133	274	16	4	29%	7%	72	-0.7	206/254/334	128	277	15	2	31%	5%	62	-0.8
✕Jason Lopez 2021 · A	23	40	43→50	46→45	38	201/248/313	112	281	10	7	32%	5%	57	-1.8	196/259/294	98	295	9	10	34%	8%	57	-1.8	166/232/250	84	247	9	10	35%	8%	35	-0.9
✕Kevin Padlo 2019 · A	23	36→40	44→50	45→50	43	180/261/297	117	271	11	7	36%	9%	59	-1.6	201/279/356	155	288	17	9	34%	9%	80	-0.2	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Yu Chang 2017 · A	21	40→44	45→50	49→45	38	203/253/331	128	284	12	8	32%	6%	63	-1.3	200/259/336	136	279	14	8	32%	6%	67	-1.1	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Jose Sibrian 2021 · A	22	43	38→50	49→30	39	204/261/283	79	291	5	6	30%	6%	55	-2.0	204/258/283	79	271	6	3	26%	5%	54	-2.0	202/260/295	93	255	9	0	24%	5%	55	-0.7
✕Brendon Davis 2019 · A	22	41→43	39→50	43→50	39	197/256/284	87	304	7	5	36%	7%	53	-2.1	200/261/303	103	296	10	6	34%	7%	60	-1.6	194/266/353	159	252	19	9	30%	7%	71	-0.6
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Tyler Kolodny 2010 · A	22	40→36	43→45	49→50	41	200/271/316	116	273	11	8	30%	6%	67	-1.1	208/282/338	130	278	13	10	29%	6%	76	-0.4	207/287/352	145	264	16	10	27%	6%	79	-0.1
✕Adam Abraham 2009 · A	22	39→46	44→50	49→40	43	197/259/310	113	258	12	5	28%	7%	61	-1.5	217/273/330	113	277	10	4	24%	6%	70	-0.8	220/280/334	115	276	11	2	23%	7%	72	-0.3
✕Steven Baron 2013 · A	22	39	41→45	50	37	193/231/293	99	262	8	10	29%	4%	45	-2.7	197/236/286	89	278	6	9	30%	5%	45	-2.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Blake Hunt 2021 · A	22	42	40→45	49→40	43	204/260/298	94	268	7	6	26%	6%	58	-1.7	192/251/306	114	277	11	4	33%	6%	57	-1.8	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Edgardo Baez 2007 · A	22	43→46	42→50	47→50	39	210/259/313	104	298	9	5	32%	6%	61	-1.5	223/274/346	123	309	13	9	30%	6%	74	-0.5	225/276/354	129	302	14	9	29%	6%	73	-0.4
✕Frank Rodriguez 2023 · A	21	40	40→45	48→30	38	195/255/282	87	294	7	4	35%	6%	53	-2.1	178/234/262	84	256	7	3	32%	6%	40	-3.0	183/244/267	84	244	9	1	28%	6%	43	-0.9

Career Stats + Projections

Career Comps

Career Path Comps