Angel Diaz — OGILVIE

Angel DiazC Rancho Cucamonga Quakes

Age 22 R/R 5'10" / 180 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 187 proj PA

wRC+†62

AVG/OBP/SLG.196 / .267 / .297

PA16

HR0

K%29

BB%7

ISO102

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 29 / POW 41

Toolsscout grade

CONTACT29

scouting grade only

POWER41

scouting grade only

EYE49

scouting grade only

SPEED47

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
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	+0.3	$0.8M	+$0.3M
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	+$0.6M

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)
2022	18	ROK	DSL LAD Bautista	—	117	100	31	13	1	1	10	22	6	1	3	310	405	490	895	180	385	19	9	395	154	+7	-1	—	—	+3	0.9
2023	19	ROK	DSL LAD Mega	—	164	133	47	10	0	7	23	21	5	2	2	353	466	586	1.052	233	370	13	14	453	193	+18	-0	—	—	+4	2.2
2024	20	ROK	ACL Dodgers	—	116	95	27	5	0	0	7	25	12	0	1	284	404	337	740	53	380	22	6	345	120	+3	-0	—	—	+3	0.5
2025	21	A	Rancho Cucamonga Quakes	—	147	129	30	5	0	4	15	41	1	0	0	233	317	364	682	132	302	28	10	306	93	-1	+0	—	—	+3	0.2
2025	21	ROK	ACL Dodgers	—	53	41	11	2	0	1	9	13	3	0	0	268	434	390	824	122	370	25	17	384	146	+3	+0	—	—	+1	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL LAD Bautista	—	117	103	24	10	1	1	7	31	6	1	3	233	319	379	698	146	303	26	6	287	80	-3	-1	—	—	+3	-0.1
2023	19	ROK MLE	DSL LAD Mega	—	164	142	36	7	0	4	14	31	5	2	2	254	342	387	729	134	278	19	9	318	101	+0	-0	—	—	+4	0.3
2024	20	ROK MLE	ACL Dodgers	—	116	98	22	4	0	0	4	37	12	0	1	224	333	265	599	41	312	32	3	251	56	-6	-0	—	—	+3	-0.4
2025	21	A MLE	Rancho Cucamonga Quakes	—	147	133	24	4	0	3	11	56	1	0	0	180	248	278	526	98	264	38	7	234	45	-10	+0	—	—	+3	-0.7
2025	21	ROK MLE	ACL Dodgers	—	53	44	8	1	0	1	6	19	3	0	0	182	321	273	593	91	289	36	11	258	61	-2	+0	—	—	+1	-0.1
2022	18	ROK MLE	DSL LAD Bautista	—	117	103	24	10	1	1	7	31	6	1	3	233	319	379	698	146	319	26	6	287	80	—	—	—	—	—	—
2022	18	ROK RAW	DSL LAD Bautista	—	117	100	31	13	1	1	10	22	6	1	3	310	405	490	895	180	385	19	9	395	80	—	—	—	—	—	—
2023	19	ROK MLE	DSL LAD Mega	—	164	142	36	7	0	4	14	31	5	2	2	254	342	387	729	134	291	19	9	318	101	—	—	—	—	—	—
2023	19	ROK RAW	DSL LAD Mega	—	164	133	47	10	0	7	23	21	5	2	2	353	466	586	1.052	233	370	13	14	453	101	—	—	—	—	—	—
2024	20	ROK MLE	ACL Dodgers	—	116	98	22	4	0	0	4	37	12	0	1	224	333	265	599	41	355	32	3	251	56	—	—	—	—	—	—
2024	20	ROK RAW	ACL Dodgers	—	116	95	27	5	0	0	7	25	12	0	1	284	404	337	740	53	380	22	6	345	56	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	200	178	32	5	0	4	16	75	4	0	0	180	263	275	538	96	277	38	8	240	49	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	200	170	41	7	0	5	24	54	4	0	0	241	348	371	719	129	319	27	12	327	49	—	—	—	—	—	—
2022	18	ROK MLE	DSL LAD Bautista	—	117	103	24	10	1	1	7	31	6	1	3	233	319	379	698	146	303	26	6	287	80	—	—	—	—	—	—
2023	19	ROK MLE	DSL LAD Mega	—	164	144	36	7	0	4	14	31	5	2	2	250	342	382	724	132	278	19	9	318	101	—	—	—	—	—	—
2024	20	ROK MLE	ACL Dodgers	—	116	99	22	4	0	0	4	37	12	0	1	222	333	263	596	40	312	32	3	251	56	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	200	178	32	5	0	4	16	75	4	0	0	180	263	275	538	96	271	38	8	240	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL LAD Mega	—	164	144	36	7	0	4	14	31	5	2	2	250	342	382	724	132	278	19	9	318	101	—	—	—	—	—	—
2024	20	ROK MLE	ACL Dodgers	—	116	99	22	4	0	0	4	37	12	0	1	222	333	263	596	40	312	32	3	251	56	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	200	178	32	5	0	4	16	75	4	0	0	180	263	275	538	96	271	38	8	240	49	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	LAA	0%	16	15	3	1	0	0	1	5	0	0	0	200	250	267	517	67	269	31	6	259	62	-1	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAA	34%	252	227	47	9	1	5	19	72	4	4	1	207	280	322	602	115	273	29	8	269	68	-10	+0	+0	+4	+5	0.1
2028	24	MLB MLE	LAA	46%	346	312	65	12	2	7	26	96	5	6	2	208	280	327	607	119	275	28	8	275	72	-11	+0	+0	+6	+7	0.3
2029	25	MLB MLE	LAA	52%	400	360	77	14	2	9	31	110	6	7	2	214	287	339	626	125	276	28	8	279	75	-12	+1	+0	+7	+9	0.4
2030	26	MLB MLE	LAA	54%	435	392	83	15	2	10	34	119	6	7	2	212	285	337	621	125	276	27	8	280	76	-13	+1	+0	+8	+9	0.5
2031	27	MLB MLE	LAA	54%	450	405	86	16	2	10	35	124	7	8	2	212	286	336	622	123	276	28	8	280	76	-13	+1	+0	+8	+10	0.6
2032	28	MLB MLE	LAA	54%	455	409	86	16	2	10	36	126	7	8	2	210	285	333	618	122	275	28	8	279	75	-13	+1	-1	+8	+10	0.5
2033	29	MLB MLE	LAA	53%	451	405	86	16	2	10	36	125	7	7	2	212	288	336	624	123	274	28	8	277	74	-14	+1	-1	+8	+10	0.3
2034	30	MLB MLE	LAA	57%	444	399	82	15	2	9	36	125	6	7	2	206	281	321	602	115	273	28	8	274	72	-15	+1	-2	+8	+10	0.1
2035	31	MLB MLE	LAA	59%	419	376	77	14	2	8	34	119	6	6	2	205	281	316	598	112	271	28	8	270	69	-15	+0	-3	+7	+9	-0.1
2027	23	MLB CTX	LAA	34%	87	80	16	3	0	2	6	25	1	1	0	200	264	312	577	112	272	29	7	258	68	-3	+0	+0	+2	+2	0.0
2028	24	MLB CTX	LAA	46%	160	145	30	5	1	3	12	45	2	3	1	207	277	317	594	110	274	28	8	264	72	-5	+0	+0	+3	+3	0.1
2029	25	MLB CTX	LAA	52%	207	186	40	7	1	5	16	57	3	3	1	215	288	344	632	129	275	28	8	268	75	-6	+0	+0	+4	+4	0.2
2030	26	MLB CTX	LAA	54%	236	213	44	8	1	5	18	65	3	4	1	207	278	324	602	117	275	28	8	269	76	-7	+0	+0	+4	+5	0.3
2031	27	MLB CTX	LAA	54%	244	219	45	8	1	5	19	67	4	4	1	205	281	320	601	114	275	27	8	270	76	-7	+0	+0	+4	+5	0.3
2032	28	MLB CTX	LAA	54%	247	221	46	8	1	5	20	68	4	4	1	208	286	321	607	113	275	28	8	269	75	-7	+0	-0	+4	+5	0.3
2033	29	MLB CTX	LAA	53%	239	214	45	8	1	5	19	66	4	4	1	210	287	327	614	117	274	28	8	267	74	-7	+0	-1	+4	+5	0.2
2034	30	MLB CTX	LAA	57%	252	226	46	8	1	5	20	71	4	4	1	204	280	314	594	111	272	28	8	264	72	-8	+0	-1	+4	+5	0.1
2035	31	MLB CTX	LAA	59%	249	223	45	8	1	5	20	71	4	4	1	202	279	314	593	112	270	29	8	260	69	-9	+0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1921	1727	357	63	8	40	150	535	29	31	8	207	281	322	603	115	273	28	8	266	73	-61	+3	-4	+34	+42	1.4
/ 162G	—	A+C		—	650	584	121	21	3	14	51	181	10	10	3	207	282	325	608	118	273	28	8	266	73	-21	+1	-1	+12	+14	0.5
Career	—	MLE		—	4265	3821	806	154	18	87	329	1195	81	63	23	211	287	329	616	118	281	28	8	276	73	-117	+5	-7	+66	+79	2.7
/ 162G	—	MLE		—	650	582	122	23	3	13	50	182	12	10	4	210	286	326	612	117	279	28	8	276	73	-21	+1	-1	+12	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#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	3.2	2,107	44	34	209	280	326	+38	+24	2.9	2.7
/162	664	14	11	+11.9	+7.6	0.9	pk7: 3
#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
Angel Diaz (OGILVIE)	22	24→29	36→41	42→47	49	196/267/297	101	269	3	3	29%	7%	62	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕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
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	181/247/307	126	264	15	5	36%	7%	56	-1.9	209/267/324	115	285	12	4	30%	7%	67	-1.1	208/268/318	109	276	12	2	28%	7%	64	-0.6
✕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
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/262/267	82	249	8	7	28%	9%	53	-2.1	202/263/289	87	282	6	8	29%	7%	57	-1.8	190/245/265	75	263	4	7	28%	7%	42	-0.7
✕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
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕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
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	203/265/304	101	254	9	3	24%	7%	61	-1.5	215/280/313	98	272	8	5	23%	7%	69	-0.9	228/314/342	113	289	10	2	23%	9%	86	+0.1
✕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
✕Gerardo Bustamante 2008 · A	22	38	39→40	42→50	40	189/237/273	83	260	8	4	30%	6%	43	-2.8	198/258/276	78	270	5	5	27%	7%	52	-2.2	215/252/293	77	268	9	12	23%	4%	50	-0.7
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Andy Paz 2015 · A	22	38	38→40	45	44	186/245/261	75	253	6	5	28%	7%	44	-2.8	217/271/283	66	297	4	6	26%	7%	58	-1.7	246/291/294	49	312	2	7	21%	6%	64	-0.4
✕Payton Henry 2018 · A	21	39→31	42→45	46→30	38	189/254/293	104	302	8	3	38%	7%	55	-1.9	184/249/284	100	318	10	2	43%	6%	51	-2.2	242/289/361	119	320	16	1	29%	4%	79	-0.1
✕Daniel Berg 2007 · A	22	37	42→40	44→40	41	186/254/294	107	267	9	4	32%	7%	55	-1.9	194/262/277	83	296	6	4	34%	7%	55	-2.0	187/259/259	72	291	5	2	35%	7%	46	-1.3
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Antoni Lugo 2010 · A	22	38	43→45	42→45	44	194/252/299	105	229	12	5	22%	6%	55	-1.9	217/278/338	121	266	13	5	23%	6%	74	-0.5	218/282/344	126	255	16	3	21%	6%	74	-0.2
✕Riccio Torrez 2012 · A	22	41→35	43→40	46→45	39	205/249/309	104	258	11	7	25%	4%	57	-1.8	193/249/283	90	245	8	5	24%	4%	51	-2.3	184/240/269	85	233	7	4	24%	4%	42	-1.5
✕Vicente Conde 2016 · AA	22	39→35	41→40	46→45	42	192/253/294	102	275	8	9	32%	7%	55	-2.0	180/252/262	82	266	6	6	32%	9%	47	-2.5	157/240/222	66	240	3	4	33%	10%	32	-1.5
✕Chadwick Tromp 2017 · A	22	40	43→45	43→40	37	205/240/310	105	264	11	4	27%	4%	53	-2.1	221/274/312	91	279	7	4	22%	6%	66	-1.1	226/287/316	90	280	8	2	21%	7%	70	-0.3

Career Stats + Projections

Career Comps

Career Path Comps