Diego Natera — OGILVIE

Diego NateraC DSL White Sox

Age 18 R/R 5'10" / 190 lbs ROK HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION40 act + 6 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.200 / .333 / .200

PA6

HR0

K%33

BB%17

BABIP299

ISO100

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$33M ctrl surplus

Tools · Contract

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	+0.7	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Arb-1	$3M	+0.8	$2M	+$0.3M
2036	Arb-2	$5M	+0.7	$1M	+$0.0M (cut)
2037	Arb-3	$7M	+0.6	$1M	+$0.0M (cut)
Totals		$6M		$9M	+$4M

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)
2025	17	ROK	DSL White Sox	—	65	45	7	2	0	1	18	18	2	5	3	156	415	267	682	111	231	28	28	343	118	+1	-0	—	—	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL White Sox	—	65	52	5	1	0	1	11	26	2	5	3	96	277	173	450	77	173	40	17	224	38	-5	-0	—	—	+1	-0.4
2025	17	ROK MLE	DSL White Sox	—	65	52	5	1	0	1	11	26	2	5	3	96	277	173	450	77	160	40	17	224	38	—	—	—	—	—	—
2025	17	ROK RAW	DSL White Sox	—	65	45	7	2	0	1	18	18	2	5	3	156	415	267	682	111	231	28	28	343	38	—	—	—	—	—	—
2025	17	ROK MLE	DSL White Sox	—	65	52	5	1	0	1	11	26	2	5	3	96	277	173	450	77	173	40	17	224	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL White Sox	—	65	52	5	1	0	1	11	26	2	5	3	96	277	173	450	77	173	40	17	224	38	—	—	—	—	—	—
YTD	18	ROK MLE	CWS	—	40	37	8	3	1	1	2	19	1	1	0	216	275	432	707	216	412	48	5	262	63	-2	+0	+0	+1	+1	0.0
▸ 2026 season
YTD	18	ROK RAW	CWS	—	40	35	11	5	1	1	4	13	1	1	0	314	400	600	1.000	286	476	32	10	432	63	—	—	—	—	—	—
ROS	18	ROK MLE	CWS	0%	6	5	1	0	0	0	1	2	0	0	0	200	333	200	533		298	33	17	269	68	-0	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	CWS	—	46	42	9	3	1	1	3	21	1	1	0	214	283	405	687	190	400	46	7	263	64	-2	+0	+0	+1	+1	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	CWS	34%	157	140	28	7	1	2	14	50	2	3	0	200	282	307	589	107	295	32	9	275	72	-5	+1	+0	+3	+3	0.2
2028	20	MLB MLE	CWS	48%	303	268	56	13	2	5	27	94	5	5	1	209	293	328	622	119	297	31	9	282	77	-8	+1	+0	+5	+7	0.4
2029	21	MLB MLE	CWS	54%	416	369	79	18	3	8	37	127	7	7	1	214	298	344	642	130	297	31	9	288	81	-10	+1	+0	+7	+9	0.8
2030	22	MLB MLE	CWS	57%	496	440	95	21	4	10	45	150	8	8	2	216	300	350	650	134	298	30	9	291	83	-10	+1	+0	+9	+11	1.1
2031	23	MLB MLE	CWS	58%	520	459	99	22	4	10	47	157	9	9	2	216	301	346	647	131	299	30	9	293	84	-10	+1	+0	+9	+11	1.2
2032	24	MLB MLE	CWS	57%	520	459	100	22	4	11	47	157	9	9	2	218	303	355	658	137	300	30	9	295	85	-9	+1	+0	+9	+11	1.3
2033	25	MLB MLE	CWS	57%	520	459	100	22	4	11	47	157	9	9	2	218	303	355	658	137	300	30	9	296	86	-9	+1	+0	+9	+11	1.3
2034	26	MLB MLE	CWS	57%	520	459	100	22	4	11	47	156	9	9	2	218	303	355	658	137	300	30	9	296	87	-8	+1	+0	+9	+11	1.4
2035	27	MLB MLE	CWS	55%	520	458	100	22	4	11	48	157	9	9	2	218	305	356	661	138	300	30	9	296	87	-8	+1	+0	+9	+11	1.4
2036	28	MLB MLE	CWS	55%	520	458	99	22	4	11	48	158	9	8	2	216	303	354	657	138	299	30	9	295	86	-9	+1	-1	+9	+11	1.2
2037	29	MLB MLE	CWS	53%	520	458	99	22	4	11	48	159	9	8	1	216	303	354	657	138	298	31	9	293	85	-10	+1	-1	+9	+11	1.1
2038	30	MLB MLE	CWS	53%	520	457	97	21	4	10	49	160	9	7	1	212	301	341	642	129	297	31	9	290	83	-11	+1	-2	+9	+11	0.9
2039	31	MLB MLE	CWS	52%	504	444	92	20	3	10	47	157	8	6	1	207	295	333	628	126	294	31	9	286	80	-12	+1	-3	+9	+11	0.6
2040	32	MLB MLE	CWS	52%	489	433	88	19	3	9	45	154	8	5	1	203	290	323	613	120	290	31	9	281	76	-14	+1	-4	+9	+11	0.3
2041	33	MLB MLE	CWS	56%	473	419	83	18	3	8	44	151	7	4	1	198	285	313	598	115	286	32	9	274	72	-16	+0	-4	+8	+10	-0.1
2027	19	MLB CTX	CWS	34%	54	48	9	2	0	1	5	17	1	1	0	188	278	292	569	104	296	31	9	265	72	-2	+0	+0	+1	+1	0.1
2028	20	MLB CTX	CWS	48%	147	131	27	6	1	3	13	46	2	3	0	206	288	336	624	130	298	31	9	272	77	-4	+1	+0	+3	+3	0.2
2029	21	MLB CTX	CWS	54%	226	200	43	10	2	4	20	69	4	4	1	215	299	345	644	130	298	31	9	277	81	-5	+0	+0	+4	+5	0.4
2030	22	MLB CTX	CWS	57%	281	249	54	12	2	6	25	85	5	5	1	217	301	353	654	137	299	30	9	280	83	-6	+1	+0	+5	+6	0.6
2031	23	MLB CTX	CWS	58%	299	265	57	13	2	6	27	90	5	5	1	215	300	347	647	132	300	30	9	282	84	-6	+1	+0	+5	+6	0.7
2032	24	MLB CTX	CWS	57%	296	262	57	13	2	6	27	89	5	5	1	218	303	351	654	134	301	30	9	284	85	-5	+1	+0	+5	+6	0.7
2033	25	MLB CTX	CWS	57%	295	261	57	13	2	6	27	89	5	5	1	218	304	352	656	134	301	30	9	285	86	-5	+1	+0	+5	+6	0.8
2034	26	MLB CTX	CWS	57%	294	260	57	13	2	6	27	88	5	5	1	219	305	354	659	135	301	30	9	285	87	-5	+1	+0	+5	+6	0.8
2035	27	MLB CTX	CWS	55%	289	255	55	12	2	6	27	87	5	5	1	216	303	349	652	133	301	30	9	285	87	-5	+1	+0	+5	+6	0.8
2036	28	MLB CTX	CWS	55%	286	252	54	12	2	6	27	87	5	5	1	214	303	349	652	135	300	30	9	284	86	-5	+1	-0	+5	+6	0.7
2037	29	MLB CTX	CWS	53%	278	245	53	12	2	6	26	85	5	4	1	216	304	355	659	139	299	31	9	282	85	-5	+0	-1	+5	+6	0.6
2038	30	MLB CTX	CWS	53%	274	241	52	11	2	6	26	84	5	4	1	216	305	353	658	137	298	31	9	280	83	-6	+0	-1	+5	+6	0.5
2039	31	MLB CTX	CWS	52%	263	232	49	11	2	5	25	82	4	3	1	211	299	341	639	129	295	31	10	276	80	-6	+0	-1	+5	+6	0.3
2040	32	MLB CTX	CWS	52%	254	224	47	10	2	5	24	80	4	2	0	210	298	339	637	129	291	31	9	270	76	-7	+0	-2	+5	+6	0.1
2041	33	MLB CTX	CWS	56%	265	234	47	10	2	5	25	85	4	2	0	201	289	325	614	124	287	32	9	263	72	-9	+0	-2	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3801	3359	718	160	27	77	351	1163	64	58	11	214	300	346	646	132	301	31	9	279	82	-79	+7	-8	+68	+82	7.2
/ 162G	—	A+C		—	650	574	123	27	5	13	60	199	11	10	2	214	300	347	647	132	302	31	9	279	82	-14	+1	-1	+12	+14	1.2
Career	—	MLE		—	7069	6237	1321	292	51	139	652	2172	119	111	24	212	299	342	640	130	298	31	9	289	82	-148	+13	-15	+125	+152	13.0
/ 162G	—	MLE		—	650	573	122	27	5	13	60	200	11	10	2	213	299	346	645	133	300	31	9	289	82	-14	+1	-1	+12	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jason Castrolast yr '22 career totals — 12 seasons, 3,381 PA	5.1	3,381	97	6	227	312	387	+60	+77	22.5	21.6
/162	664	19	1	+11.9	+15.1	4.4	pk7: 21
#2Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#3Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#4John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#5Bobby 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
#6Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.8	3,863	76	58	213	296	344	+69	+36	10.0	8.2
/162	664	13	10	+11.9	+6.2	1.7	pk7: 6

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
Diego Natera (OGILVIE)	18	—	—	—	—	197/279/306	109	298	1	1	33%	9%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3
✕Wendell Rijo 2015 · A	19	42→43	41→50	51→50	44	205/270/309	104	282	7	12	28%	7%	64	-1.3	200/251/288	88	282	6	11	30%	6%	52	-2.2	208/265/349	141	264	16	14	28%	6%	69	-0.6
✕Jorge Alcantara 2010 · A	18	44	38→45	51→50	41	207/269/289	82	311	6	11	33%	7%	59	-1.7	209/275/309	100	307	7	11	32%	7%	66	-1.1	189/260/299	110	270	7	17	30%	8%	58	-0.6
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Robert Gonzalez 2019 · A	18	37	40→45	51→60	42	173/271/261	88	302	7	6	41%	9%	55	-1.9	193/299/288	95	289	6	11	32%	11%	72	-0.7	181/305/266	86	250	6	20	26%	12%	68	-0.4
✕Ezequiel Tovar 2021 · A	19	45→49	37→55	49→50	43	209/275/287	78	306	4	12	31%	8%	61	-1.5	237/274/370	133	286	14	15	22%	4%	80	-0.2	245/282/403	158	315	17	11	27%	4%	89	+0.5
✕Leopoldo Correa 2010 · A	18	41	42→45	50→30	48	197/280/305	107	291	9	5	33%	10%	68	-1.0	210/272/297	87	263	6	3	21%	7%	62	-1.4	212/269/300	89	261	8	0	21%	6%	58	-0.5
✕Rodolfo Castro 2017 · A	18	43→41	38→55	48→50	43	202/265/291	89	290	5	5	30%	7%	58	-1.7	196/241/316	120	278	11	5	32%	5%	55	-2.0	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
✕Riley Unroe 2014 · A	18	42→48	37→45	51→55	47	196/275/269	72	289	3	9	31%	9%	57	-1.8	195/258/260	65	272	4	9	28%	7%	48	-2.5	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Darell Hernaiz 2021 · A	19	45→55	39→45	52→50	44	211/276/297	86	310	7	9	32%	8%	63	-1.3	236/282/327	91	298	8	17	23%	5%	72	-0.7	253/310/346	93	295	7	12	16%	7%	85	+0.2
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Rey Duran 2008 · A	19	41	39→50	49→40	44	194/268/278	84	288	7	6	33%	8%	57	-1.8	201/256/316	115	261	13	5	27%	6%	61	-1.5	210/263/349	139	246	19	2	23%	5%	69	-0.4

Career Stats + Projections

Career Comps

Career Path Comps