Angel Diaz — OGILVIE

Angel DiazC Rancho Cucamonga Quakes

Age 22 R/R 5'10" / 180 lbs A HR -5% Svc 0.0 · Ctrl thru 2036 peak 1.7 · 2031

wRC+†72

AVG/OBP/SLG.209 / .283 / .330

PA187

HR4

K%29

BB%8

MLB%0%

Scouting · now → future

HIT

24↗29

PWR

36↗41

SPD

42↗47

EYE

44↗49

trajectory · 10 yrs

1.7peak

2031

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	Arb-3	$0.9M	+1.7	$16M	+$15M
2032	Ext / FA-deal	$0.9M	+1.6	$15M	+$14M
2033	Ext / FA-deal	$1.0M	+1.4	$14M	+$13M
2034	Ext / FA-deal	$2M	+1.2	$12M	+$10M
2035	Ext / FA-deal	$3M	+0.9	$5M	+$2M
2036	Ext / FA-deal	$2M	+0.6	$3M	+$0.7M
Totals		$10M		$65M	+$54M

Career Projections (MLE)

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.

Year	Age	Lvl	Team	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
2022	18	ROK	DSL LAD Bautista	117	103	24	10	1	1	7	31	6	1	3	.233	.319	.379	.698	.146	.319	26	6	.292	82	-2	-1	+0	+2	+3	0.2
2023	19	ROK	DSL LAD Mega	164	143	36	7	0	4	13	31	5	2	2	.252	.335	.385	.720	.133	.288	19	8	.309	95	-1	-0	+0	+3	+5	0.6
2024	20	ROK	ACL Dodgers	116	98	20	3	0	0	4	37	12	0	1	.204	.316	.235	.550	.031	.323	32	3	.248	48	-7	-0	+0	+2	+3	-0.2
2025	21	A	2 teams	200	178	32	5	0	4	16	75	4	0	0	.180	.263	.275	.538	.096	.277	38	8	.238	41	-13	+0	+0	+4	+6	-0.4
▸ 2026 Season
2026	22	MLB	LAA	187	167	36	7	1	4	15	55	3	3	1	.216	.292	.341	.633	.126	.284	29	8	.279	72	-6	+0	+0	+3	+5	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	LAA	252	225	49	9	1	6	21	71	4	4	1	.218	.296	.347	.643	.129	.285	28	8	.289	80	-6	+0	+0	+4	+7	0.6
2028	24	MLB 26%	LAA	346	308	69	13	2	9	30	95	5	6	1	.224	.303	.367	.670	.143	.286	27	9	.296	85	-6	+1	+0	+6	+10	1.1
2029	25	MLB 43%	LAA	400	356	80	15	2	11	35	108	6	7	2	.225	.305	.371	.676	.146	.287	27	9	.301	88	-5	+1	+0	+7	+11	1.4
2030	26	MLB 58%	LAA	435	387	87	16	2	12	39	117	6	7	2	.225	.306	.370	.675	.145	.288	27	9	.303	90	-5	+1	+0	+8	+12	1.6
2031	27	MLB 76%	LAA	450	400	90	17	2	12	41	122	6	8	2	.225	.306	.367	.674	.142	.288	27	9	.303	90	-5	+1	+0	+8	+13	1.7
2032	28	MLB 84%	LAA	455	404	90	17	2	12	42	124	6	7	1	.223	.305	.364	.669	.141	.287	27	9	.302	89	-6	+1	-1	+8	+13	1.6
2033	29	MLB 90%	LAA	451	401	88	16	2	12	41	124	6	7	1	.219	.301	.359	.660	.140	.286	27	9	.300	88	-6	+1	-1	+8	+13	1.4
2034	30	MLB	LAA	444	394	86	16	2	11	41	124	6	6	1	.218	.302	.353	.654	.135	.285	28	9	.297	85	-7	+1	-2	+8	+13	1.2
2035	31	MLB	LAA	419	372	81	15	2	11	38	118	6	5	0	.218	.300	.358	.658	.140	.283	28	9	.293	82	-8	+1	-3	+7	+12	0.9
2036	32	MLB	LAA	391	347	73	13	2	9	36	113	5	4	0	.210	.294	.337	.631	.127	.282	29	9	.288	79	-9	+1	-4	+7	+11	0.6
2037	33	MLB	LAA	352	312	65	12	1	8	32	104	5	4	0	.208	.292	.330	.622	.122	.280	30	9	.283	75	-10	+1	-4	+6	+10	0.3
2038	34	MLB	LAA	302	268	55	10	1	7	27	92	4	3	0	.205	.288	.328	.616	.123	.278	30	9	.276	70	-10	+1	-5	+5	+9	-0.1
2039	35	MLB	LAA	246	219	44	8	1	5	22	77	3	3	0	.201	.283	.315	.598	.114	.276	31	9	.269	64	-10	+1	-6	+4	+7	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			5727	5082	1105	209	24	138	500	1618	98	77	18	.217	.300	.349	.649	.132	.288	28	9	.291	81	-124	+8	-25	+102	+162	12.6
/ 162G	—			650	577	126	24	3	16	57	184	11	9	2	.218	.301	.354	.655	.135	.289	28	9	.291	81	-14	+1	-3	+12	+18	1.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	161	+8	-1	—	—	+3	1.1
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	205	+19	-0	—	—	+5	2.4
2024	20	ROK	ACL Dodgers	116	95	27	5	0	0	7	25	12	0	1	.284	.404	.337	.740	.053	.380	22	6	.345	122	+3	-0	—	—	+3	0.6
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	92	-1	+0	—	—	+4	0.3
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	152	+3	+0	—	—	+2	0.5

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	.209/.283/.330	.121	.284	4	3	29%	8%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Marcus Greene Jr. 2017 · A	22	35	46→50	45→40	40	.185/.251/.313	.128	.265	15	5	35%	7%	53	-1.5	.209/.268/.329	.120	.279	13	4	28%	7%	65	-0.7	.211/.271/.321	.110	.275	12	2	27%	7%	61	-0.4
✕Miguel Amaya 2021 · A	22	42	46→50	48→40	46	.212/.283/.341	.129	.261	14	4	24%	7%	75	-0.0	.218/.306/.350	.132	.298	14	6	29%	9%	87	+0.8	.233/.304/.378	.146	.278	16	1	22%	7%	91	+0.5
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	.205/.269/.327	.122	.280	11	10	30%	7%	65	-0.7	.196/.267/.342	.146	.271	17	7	33%	8%	69	-0.4	.206/.283/.412	.206	.265	29	1	33%	8%	91	+0.6
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Payton Henry 2019 · A	22	41→31	42→45	41→30	38	.192/.261/.298	.106	.318	10	3	40%	7%	54	-1.4	.192/.255/.296	.104	.317	11	3	41%	5%	50	-1.7	.246/.293/.382	.135	.322	19	1	29%	4%	83	+0.2
✕Andrew Susac 2013 · A	23	42→39	43→50	46→30	45	.207/.280/.320	.113	.292	11	4	31%	8%	67	-0.5	.217/.291/.360	.143	.291	16	3	29%	9%	82	+0.5	.217/.295/.373	.156	.282	19	1	29%	9%	85	+0.3
✕Tyler Kolodny 2010 · A	22	40→34	44→45	49→50	40	.200/.267/.320	.119	.267	12	8	29%	6%	63	-0.9	.206/.277/.341	.135	.271	14	9	29%	6%	72	-0.2	.206/.284/.354	.148	.258	17	10	26%	5%	76	+0.0
✕Max Stassi 2013 · A	22	41→43	47→55	43→40	40	.210/.270/.343	.133	.290	15	4	32%	6%	69	-0.4	.216/.264/.358	.142	.286	17	3	30%	5%	70	-0.3	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Kevin Padlo 2018 · A	22	36→40	45→55	44→50	48	.184/.270/.312	.128	.257	13	8	32%	10%	62	-0.9	.195/.278/.343	.148	.287	15	8	35%	9%	73	-0.1	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Adam Zebrowski 2023 · A	22	41→33	45	50→40	45	.202/.279/.325	.123	.286	12	5	32%	9%	69	-0.4	.185/.246/.306	.121	.280	14	4	37%	7%	50	-1.8	.171/.225/.285	.114	.259	15	2	39%	5%	32	-1.9
✕José Caballero 2019 · A	22	48→45	43→45	48→70	45	.232/.292/.346	.114	.280	10	9	21%	6%	79	+0.3	.220/.293/.329	.109	.282	9	25	24%	7%	76	+0.0	.229/.321/.344	.115	.305	10	63	26%	9%	87	+0.6
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Óscar Hernández 2015 · A	22	41	44→55	41→40	41	.208/.256/.327	.119	.262	11	4	25%	5%	59	-1.1	.201/.248/.321	.120	.261	12	5	27%	5%	53	-1.5	.164/.214/.271	.107	.209	12	1	28%	5%	24	-1.2
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Niko Vasquez 2011 · A	22	42→41	41→50	42→45	47	.202/.282/.303	.101	.284	8	4	30%	9%	63	-0.8	.197/.265/.307	.110	.264	10	3	28%	8%	58	-1.2	.227/.282/.376	.149	.290	19	6	28%	6%	81	+0.2
✕Jakson Reetz 2018 · A	22	41→34	40→60	44→45	39	.194/.266/.286	.092	.298	7	6	35%	6%	53	-1.5	.201/.277/.309	.108	.285	11	5	32%	7%	64	-0.8	.197/.277/.397	.201	.245	26	4	31%	7%	84	+0.3
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Jeferson Morales 2022 · A	23	41→46	47→45	48→50	48	.209/.291/.351	.142	.259	14	9	25%	8%	81	+0.4	.205/.282/.337	.132	.267	13	9	27%	7%	73	-0.1	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2
✕Eddie Silva 2019 · A	23	49→30	45→50	44→45	40	.242/.285/.368	.126	.300	11	8	23%	4%	81	+0.4	.193/.244/.289	.096	.253	9	5	27%	4%	43	-2.2	.158/.212/.237	.079	.207	8	2	28%	3%	14	-3.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)