Edgar Alfonso — OGILVIE

Edgar AlfonsoSS ACL Angels

Age 22 S/R 5'9" / 175 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037 peak 1.0 · 2031

wRC+†63

AVG/OBP/SLG.206 / .274 / .311

PA95

HR2

K%29

BB%8

MLB%0%

Scouting · now → future

HIT

26↗31

PWR

28↗33

SPD

46↗51

EYE

40↗45

trajectory · 10 yrs

1.0peak

2031

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	Ext / FA-deal	$0.9M	+0.9	$4M	+$3M
2033	Ext / FA-deal	$1.0M	+0.8	$4M	+$3M
2034	Ext / FA-deal	$1.0M	+0.6	$3M	+$2M
2035	Ext / FA-deal	$0.8M	+0.3	$2M	+$0.8M
2036	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$5M		$12M	+$8M

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
2021	17	ROK	DSL Angels	172	155	25	4	1	1	12	56	1	17	7	.161	.226	.219	.446	.058	.242	33	7	.204	14	-17	+1	+0	+2	+5	-1.0
2023	19	ROK	ACL Angels	108	97	18	1	1	0	7	42	0	3	0	.186	.240	.216	.457	.031	.327	39	6	.203	14	-11	+1	+0	+1	+3	-0.6
2024	20	ROK	ACL Angels	129	120	19	3	1	0	8	49	0	2	2	.158	.211	.200	.411	.042	.268	38	6	.181	-3	-15	-0	+0	+1	+4	-1.1
2025	21	ROK	2 teams	88	78	16	3	1	0	5	22	3	2	2	.205	.279	.269	.548	.064	.281	25	6	.248	48	-5	-0	+0	+1	+2	-0.2
▸ 2026 Season
2026	22	MLB	LAA	95	87	18	3	1	2	7	27	1	2	0	.207	.274	.333	.607	.126	.282	28	7	.268	63	-4	+0	+0	+1	+3	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	LAA	184	165	36	7	1	4	15	51	2	3	1	.218	.291	.345	.637	.127	.284	28	8	.280	72	-6	+0	+0	+2	+5	0.2
2028	24	MLB 26%	LAA	295	266	58	11	2	6	24	80	3	6	1	.218	.290	.342	.632	.124	.285	27	8	.287	78	-7	+1	+0	+3	+8	0.5
2029	25	MLB 43%	LAA	363	325	72	13	2	8	31	96	4	7	2	.222	.297	.348	.645	.126	.286	26	9	.292	82	-7	+1	+0	+4	+10	0.7
2030	26	MLB 58%	LAA	407	365	81	15	2	10	35	108	4	8	2	.222	.297	.356	.653	.134	.287	27	9	.295	84	-7	+1	+0	+4	+12	0.9
2031	27	MLB 76%	LAA	427	381	85	16	2	10	38	113	5	8	2	.223	.302	.354	.656	.131	.287	26	9	.295	84	-8	+1	+0	+5	+12	1.0
2032	28	MLB 84%	LAA	437	390	86	16	2	10	39	117	5	8	2	.221	.300	.349	.648	.128	.286	27	9	.294	83	-8	+1	-1	+5	+12	0.9
2033	29	MLB 90%	LAA	435	389	85	16	2	10	39	118	4	8	1	.219	.296	.347	.643	.129	.285	27	9	.292	81	-9	+1	-1	+5	+12	0.8
2034	30	MLB	LAA	431	385	83	15	2	10	39	118	4	7	1	.216	.294	.343	.637	.127	.284	27	9	.288	79	-10	+1	-2	+5	+12	0.6
2035	31	MLB	LAA	420	375	81	15	2	9	38	117	4	6	0	.216	.295	.339	.634	.123	.282	28	9	.285	76	-11	+1	-3	+4	+12	0.3
2036	32	MLB	LAA	404	361	76	14	2	8	36	114	4	6	0	.211	.289	.327	.616	.116	.281	28	9	.280	72	-13	+1	-4	+4	+11	0.1
2037	33	MLB	LAA	375	335	69	12	2	7	33	109	4	5	0	.206	.285	.316	.601	.110	.279	29	9	.275	68	-13	+1	-4	+4	+11	-0.2
2038	34	MLB	LAA	331	296	61	11	2	6	29	99	3	5	0	.206	.284	.318	.601	.111	.278	30	9	.268	64	-14	+1	-5	+4	+9	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			5101	4570	969	175	28	101	435	1436	51	103	23	.212	.288	.329	.617	.117	.284	28	9	.278	71	-166	+11	-20	+55	+145	2.5
/ 162G	—			650	582	124	22	4	13	55	183	6	13	3	.213	.287	.332	.619	.119	.285	28	8	.278	71	-21	+1	-2	+7	+18	0.3

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
2021	17	ROK	DSL Angels	172	147	34	6	2	1	20	39	1	17	7	.231	.327	.320	.647	.088	.306	23	12	.293	82	-3	+1	—	—	+5	0.2
2023	19	ROK	ACL Angels	108	93	23	2	1	0	11	27	0	3	0	.247	.327	.290	.617	.043	.348	25	10	.277	70	-4	+1	—	—	+3	0.0
2024	20	ROK	ACL Angels	129	115	25	5	1	0	13	34	0	2	2	.217	.297	.278	.575	.061	.309	26	10	.266	62	-6	-0	—	—	+4	-0.2
2025	21	A	Inland Empire 66ers	16	12	4	0	0	0	3	2	1	0	1	.333	.500	.333	.833	.000	.400	12	19	.403	167	+1	-0	—	—	+0	0.1
2025	21	ROK	ACL Angels	72	63	19	5	2	0	5	13	2	2	1	.302	.371	.444	.816	.143	.373	18	7	.354	129	+2	+0	—	—	+2	0.4

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
Edgar Alfonso (OGILVIE)	22	26→31	28→33	46→51	45	.206/.274/.311	.105	.282	2	2	29%	8%	63	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Skye Bolt 2017 · A	23	41→39	40→50	47→50	42	.198/.260/.294	.095	.271	7	9	28%	6%	52	-1.6	.200/.260/.327	.127	.289	12	10	33%	7%	60	-1.0	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕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
✕Roger Tomas 2008 · A	22	43	40→30	50→45	43	.207/.256/.299	.091	.264	7	6	24%	6%	50	-1.7	.225/.268/.285	.060	.282	3	6	20%	5%	51	-1.7	.234/.271/.267	.033	.288	1	6	19%	4%	46	-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
✕Franklin Tineo 2017 · A	22	36	37→45	45→50	45	.177/.245/.250	.073	.241	5	9	27%	7%	34	-2.8	.198/.276/.297	.099	.276	8	10	29%	8%	60	-1.0	.201/.298/.325	.124	.262	10	12	25%	10%	74	-0.0
✕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
✕Andy Paz 2015 · A	22	39	38→40	45	45	.191/.251/.267	.076	.256	5	5	26%	7%	40	-2.4	.211/.266/.279	.068	.290	4	6	27%	7%	50	-1.8	.235/.280/.283	.048	.303	3	7	22%	6%	52	-0.5
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	.199/.274/.271	.072	.273	5	6	27%	9%	52	-1.6	.192/.285/.299	.107	.271	9	9	30%	11%	65	-0.7	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕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
✕Anderson Gomes 2007 · A	22	41→38	43→45	47→50	39	.205/.252/.313	.108	.275	10	9	29%	5%	53	-1.5	.220/.270/.333	.113	.292	11	7	27%	6%	66	-0.6	.223/.275/.335	.112	.290	12	5	26%	6%	67	-0.2
✕Cole Roederer 2022 · A	22	40→33	41→45	50	44	.196/.269/.293	.097	.285	8	12	32%	8%	56	-1.3	.202/.266/.324	.122	.299	13	11	35%	7%	63	-0.9	.179/.252/.298	.118	.265	14	11	36%	8%	49	-1.0
✕Joseph Rosa 2019 · A	22	41→43	38→40	46→50	42	.199/.255/.270	.071	.276	6	14	29%	6%	43	-2.2	.204/.268/.291	.087	.288	7	11	30%	7%	54	-1.4	.203/.277/.299	.096	.295	7	14	31%	7%	59	-0.7
✕Jose Sermo 2013 · A	22	44→36	41→55	48→50	37	.214/.258/.311	.097	.299	8	8	30%	5%	54	-1.4	.201/.245/.293	.092	.308	8	9	35%	5%	44	-2.1	.197/.240/.319	.122	.300	13	13	38%	5%	47	-0.6
✕Marcus Littlewood 2014 · A	22	41	40→45	47→45	48	.197/.270/.292	.096	.274	7	5	29%	9%	56	-1.3	.207/.273/.320	.113	.269	10	5	26%	8%	64	-0.8	.205/.272/.318	.112	.262	10	4	25%	8%	60	-0.5
✕Mack Chambers 2022 · A	22	42	38→40	46→50	44	.200/.257/.279	.079	.266	5	7	26%	7%	46	-2.0	.211/.273/.308	.097	.275	8	11	25%	7%	60	-1.0	.207/.273/.301	.094	.262	9	13	24%	8%	56	-0.6
✕Hansel Moreno 2019 · A	22	43→32	41→45	51→50	36	.209/.251/.312	.103	.304	9	15	33%	5%	52	-1.6	.192/.238/.289	.097	.284	10	16	34%	5%	40	-2.4	.169/.215/.249	.081	.239	10	18	33%	5%	19	-2.6
✕Adrian Abreu 2012 · A	21	40	38→40	47→55	47	.192/.263/.275	.082	.250	5	9	24%	8%	48	-1.9	.212/.292/.300	.088	.255	8	17	19%	9%	67	-0.5	.209/.299/.290	.080	.241	9	25	16%	10%	66	-0.2
✕Gerard Hall 2011 · A	23	42→40	37→40	49→50	45	.200/.261/.277	.077	.275	4	12	28%	8%	47	-1.9	.215/.270/.300	.085	.301	3	10	27%	7%	56	-1.3	.228/.280/.318	.090	.321	0	8	27%	6%	62	-0.5
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Carlos Alvarez 2008 · A	22	44	36→40	49→45	49	.206/.285/.274	.068	.268	3	8	23%	8%	57	-1.2	.226/.305/.314	.088	.269	4	8	16%	8%	76	+0.1	.231/.320/.325	.095	.269	5	9	15%	9%	83	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)