Angel Arevalo — OGILVIE

Angel ArevaloCF ACL Athletics

Age 22 R/R 5'11" / 160 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 114 proj PA

wRC+†62

AVG/OBP/SLG.195 / .268 / .297

PA9

HR0

K%33

BB%8

ISO103

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M 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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.2M	+$0.0M

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.

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)
2021	17	ROK	DSL Athletics	—	96	74	22	5	4	0	18	19	2	1	3	297	447	473	920	176	386	20	19	403	159	+7	-1	—	—	+2	0.8
2022	18	ROK	ACL Athletics	—	87	70	16	4	0	0	14	25	0	1	2	229	357	286	643	57	348	29	16	296	87	-1	-1	—	—	+2	-0.0
2023	19	A	Stockton Ports	—	79	70	13	1	1	0	8	29	1	3	2	186	278	229	507	43	317	37	10	243	50	-5	-0	—	—	+2	-0.3
2023	19	ROK	ACL Athletics	—	145	110	21	5	2	2	29	43	4	8	2	191	378	327	705	136	284	30	20	330	109	+2	+1	—	—	+3	0.6
2024	20	A	Stockton Ports	—	21	17	3	0	0	0	4	8	0	1	0	176	333	176	510		333	38	19	262	64	-1	+0	—	—	+0	-0.0
2024	20	ROK	ACL Athletics	—	169	136	29	7	5	4	26	59	5	11	0	213	359	426	786	213	333	35	15	349	122	+4	+2	—	—	+4	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Athletics	—	96	81	18	4	3	0	11	27	2	1	3	222	330	346	675	123	304	28	11	294	85	-2	-1	—	—	+2	-0.1
2022	18	ROK MLE	ACL Athletics	—	87	75	12	3	0	0	9	36	0	1	2	160	250	200	450	40	269	41	10	200	22	-8	-1	—	—	+2	-0.7
2023	19	A MLE	Stockton Ports	—	79	72	10	1	1	0	6	39	1	3	2	139	215	181	396	42	289	49	8	173	3	-9	-0	—	—	+2	-0.8
2023	19	ROK MLE	ACL Athletics	—	145	122	16	3	1	2	17	61	4	8	2	131	259	221	480	90	217	42	12	220	35	-11	+1	—	—	+3	-0.7
2024	20	A MLE	Stockton Ports	—	21	18	2	0	0	0	3	11	0	1	0	111	238	111	349		302	52	14	188	13	-2	+0	—	—	+0	-0.2
2024	20	ROK MLE	ACL Athletics	—	169	146	18	4	3	3	16	85	5	11	0	123	234	253	487	130	240	50	9	220	35	-13	+2	—	—	+4	-0.7
2021	17	ROK MLE	DSL Athletics	—	96	81	18	4	3	0	11	27	2	1	3	222	330	346	675	123	321	28	11	294	85	—	—	—	—	—	—
2021	17	ROK RAW	DSL Athletics	—	96	74	22	5	4	0	18	19	2	1	3	297	447	473	920	176	386	20	19	403	85	—	—	—	—	—	—
2022	18	ROK MLE	ACL Athletics	—	87	75	12	3	0	0	9	36	0	1	2	160	250	200	450	40	300	41	10	200	22	—	—	—	—	—	—
2022	18	ROK RAW	ACL Athletics	—	87	70	16	4	0	0	14	25	0	1	2	229	357	286	643	57	348	29	16	296	22	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	224	194	26	4	2	2	23	100	5	11	4	134	243	206	449	72	255	45	10	203	24	—	—	—	—	—	—
2023	19	ROK RAW	2 teams	—	224	180	34	6	3	2	37	72	5	11	4	189	342	289	631	100	296	32	17	299	24	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	190	164	21	4	3	3	19	96	5	12	0	128	239	244	483	116	269	51	10	216	33	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	190	153	32	7	5	4	30	67	5	12	0	209	356	399	755	190	333	35	16	339	33	—	—	—	—	—	—
2021	17	ROK MLE	DSL Athletics	—	96	83	18	4	3	0	11	27	2	1	3	217	330	337	667	120	304	28	11	294	85	—	—	—	—	—	—
2022	18	ROK MLE	ACL Athletics	—	87	78	12	3	0	0	9	36	0	1	2	154	250	192	442	38	269	41	10	200	22	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	224	194	26	4	2	2	23	100	5	11	4	134	243	206	449	72	242	45	10	203	24	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	190	164	21	4	3	3	19	96	5	12	0	128	239	244	483	116	247	51	10	216	33	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	2 teams	—	224	194	26	4	2	2	23	100	5	11	4	134	243	206	449	72	242	45	10	203	24	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	190	164	21	4	3	3	19	96	5	12	0	128	239	244	483	116	247	51	10	216	33	—	—	—	—	—	—
▸ 2026 season
2026	22	MLB MLE	OAK	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		287	33	11	259	62	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	OAK	34%	158	142	29	5	1	3	13	50	2	3	1	204	280	317	597	113	289	32	8	272	70	-6	+0	+0	+1	+3	-0.1
2028	24	MLB MLE	OAK	46%	277	249	52	9	2	6	23	85	3	5	1	209	284	333	617	124	290	31	8	280	76	-8	+1	+0	+1	+6	-0.0
2029	25	MLB MLE	OAK	52%	354	318	68	12	3	8	29	107	4	6	2	214	288	346	634	132	290	30	8	285	79	-9	+0	+0	+1	+8	0.0
2030	26	MLB MLE	OAK	54%	403	362	78	14	3	10	33	121	5	7	2	215	290	354	644	138	290	30	8	288	81	-9	+1	+0	+1	+9	0.2
2031	27	MLB MLE	OAK	54%	429	385	82	15	3	10	36	129	5	8	2	213	289	345	634	132	290	30	8	288	81	-10	+1	+0	+2	+9	0.2
2032	28	MLB MLE	OAK	54%	441	396	85	15	3	11	37	134	5	8	2	215	290	351	641	136	290	30	8	287	80	-10	+1	-1	+2	+10	0.1
2033	29	MLB MLE	OAK	53%	441	396	83	15	3	10	37	134	5	7	2	210	285	338	624	129	289	30	8	285	79	-11	+1	-1	+2	+10	-0.1
2034	30	MLB MLE	OAK	57%	437	392	83	15	3	10	37	134	5	6	1	212	288	342	630	130	288	31	8	283	78	-12	+1	-2	+2	+9	-0.2
2027	23	MLB CTX	OAK	34%	54	49	10	2	0	1	4	17	1	1	0	204	278	306	584	102	294	31	7	266	70	-2	+0	+0	+0	+1	-0.0
2028	24	MLB CTX	OAK	46%	128	115	25	5	1	3	10	39	2	2	1	217	291	357	648	139	296	30	8	274	76	-4	+0	+0	+0	+3	-0.1
2029	25	MLB CTX	OAK	52%	183	164	35	7	1	4	15	55	2	3	1	213	287	341	629	128	296	30	8	279	79	-5	+0	+0	+1	+4	0.0
2030	26	MLB CTX	OAK	54%	219	196	43	8	2	5	18	66	3	4	1	219	295	357	652	138	296	30	8	282	81	-5	+0	+0	+1	+5	0.1
2031	27	MLB CTX	OAK	54%	233	209	47	9	2	6	19	70	3	4	1	225	299	373	672	148	296	30	8	282	81	-5	+0	+0	+1	+5	0.1
2032	28	MLB CTX	OAK	54%	239	214	47	9	2	6	20	72	3	4	1	220	295	364	660	145	296	30	8	281	80	-6	+0	-0	+1	+5	0.0
2033	29	MLB CTX	OAK	53%	234	209	45	8	2	5	20	71	3	4	1	215	293	344	638	129	295	30	9	279	79	-6	+0	-1	+1	+5	-0.0
2034	30	MLB CTX	OAK	57%	248	222	48	9	2	6	21	76	3	4	1	216	293	356	649	140	294	31	8	277	78	-7	+0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1538	1378	300	57	12	36	127	466	20	26	7	218	293	355	648	137	299	30	8	279	72	-38	+2	-2	+5	+33	0.0
/ 162G	—	A+C		—	650	582	126	24	5	15	54	197	8	11	3	216	292	352	644	136	298	30	8	279	72	-16	+1	-1	+2	+14	0.0
Career	—	MLE		—	3546	3162	638	115	29	73	308	1156	46	75	22	202	282	326	608	124	289	33	9	274	72	-75	+5	-4	+11	+64	0.0
/ 162G	—	MLE		—	650	580	116	21	5	13	56	212	8	14	4	200	280	321	600	121	287	33	9	274	72	-16	+1	-1	+2	+14	0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.5	1,652	38	29	212	285	343	+6	+12	1.1	1.2
/162	664	15	11	+2.4	+5.0	0.5	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#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 Arevalo (OGILVIE)	22	—	—	—	—	195/268/297	102	287	2	2	33%	8%	62	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Jack Brannigan 2023 · A	22	42	43→50	48→50	43	204/282/312	108	305	11	13	34%	8%	70	-0.8	201/283/352	151	301	18	17	37%	9%	80	-0.1	184/270/336	152	267	19	18	36%	9%	69	-0.5
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
✕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
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Jorge Alcantara 2013 · A	21	42	41→45	50	43	201/271/299	98	298	8	11	33%	8%	63	-1.4	193/263/287	94	294	6	14	34%	8%	57	-1.8	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Ramon Mendoza 2023 · A	22	40→49	37→45	48→45	44	187/265/261	75	278	4	7	32%	8%	52	-2.2	212/285/310	98	296	8	5	29%	8%	70	-0.8	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕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
✕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
✕Raul Beracierta 2021 · A	22	46	40→50	50	45	218/288/314	95	304	7	8	29%	8%	72	-0.7	218/267/347	129	329	14	6	36%	5%	72	-0.7	216/262/355	138	319	17	3	36%	5%	69	-0.4
✕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
✕Carlos Narváez 2021 · A	22	47→45	38→45	48→45	46	219/291/300	81	314	5	6	30%	9%	70	-0.8	192/280/305	113	303	13	5	37%	10%	68	-1.0	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕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
✕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
✕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
✕Kevin Smith 2018 · A	22	39→45	44→55	53→50	34	197/234/315	118	286	11	8	35%	4%	51	-2.2	206/249/353	147	289	17	13	34%	5%	67	-1.1	202/253/359	157	273	20	15	33%	6%	68	-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
✕Jiandido Tromp 2016 · A	22	36→46	42→50	49→45	33	183/223/290	107	271	10	8	36%	4%	42	-2.9	213/254/353	140	283	14	9	29%	5%	68	-1.0	214/259/354	140	279	14	8	28%	5%	68	-0.8
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Kyler Fedko 2022 · A	22	46→42	38→50	51→55	44	212/282/292	79	315	5	10	32%	8%	65	-1.2	205/287/314	109	273	10	10	27%	9%	72	-0.7	197/276/341	144	245	18	22	27%	9%	73	-0.4

Career Stats + Projections

Career Comps

Career Path Comps