Adrian Placencia

Adrian PlacenciaSS Tri-City Dust Devils

Age 23 S/R 5'11" / 184 lbs A+ HR -5% Svc 0.0 · Ctrl thru 2035 peak 0.3 · 2030

wRC+†49

AVG/OBP/SLG.168 / .259 / .280

PA320

HR7

SB7

K%41

BB%10

MLB%0%

Scouting · now → future

HIT

30→30

PWR

45→45

SPD

45→45

EYE

56↗60

trajectory · 10 yrs

0.3peak

2030

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.3	$1M	+$0.5M
2031	Arb-3	$0.9M	+0.1	$0.5M	+$0.0M (cut)
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$-7M	-$11M

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	18	ROK	ACL Angels	175	152	17	2	2	3	19	70	4	4	2	.112	.229	.211	.439	.099	.177	40	11	.197	9	-18	+0	+0	+2	+5	-1.1
2022	19	A	Inland Empire 66ers	469	405	74	16	1	12	54	192	8	21	8	.183	.291	.316	.607	.133	.305	41	12	.275	69	-17	+1	+0	+5	+13	0.3
2023	20	A+	3 teams	616	544	92	14	2	9	60	235	4	27	12	.169	.257	.252	.508	.083	.273	38	10	.231	35	-45	+1	+0	+7	+17	-2.1
2024	21	A	2 teams	466	400	68	12	2	11	49	206	11	8	7	.170	.278	.292	.571	.122	.308	44	11	.254	53	-25	-1	+0	+5	+13	-0.8
2025	22	A+	Tri-City Dust Devils	501	436	66	10	4	12	47	207	9	6	4	.151	.248	.275	.523	.124	.241	41	9	.232	36	-36	-0	+0	+5	+14	-1.8
▸ 2026 Season (actual · ROS · total)
2026	23	A+	Tri-City Dust Devils	18	15	2	1	0	1	3	10	0	2	0	.133	.278	.400	.678	.267	.250	56	17	.242	43	-1	+0	+0	+0	+1	-0.0
ROS	23	MLB	LAA	302	266	47	8	2	7	29	123	4	5	2	.177	.268	.301	.568	.124	.277	41	10	.250	50	-17	+0	+0	+3	+9	-0.5
TOT	23	MLB	LAA	320	281	49	9	2	8	32	133	4	7	2	.174	.268	.306	.574	.132	.289	42	10	.250	49	-18	+1	+0	+3	+9	-0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	LAA	548	482	87	15	3	13	54	212	7	8	4	.180	.273	.305	.578	.124	.280	39	10	.262	59	-26	+0	+0	+6	+16	-0.4
2028	25	MLB 25%	LAA	579	509	94	16	3	14	58	216	7	9	5	.185	.277	.310	.587	.126	.282	37	10	.270	65	-23	-0	+0	+6	+16	-0.1
2029	26	MLB 43%	LAA	596	524	99	17	3	15	60	218	7	9	5	.189	.281	.319	.600	.130	.283	37	10	.274	68	-22	-0	+0	+6	+17	0.2
2030	27	MLB 58%	LAA	602	529	100	17	3	15	61	218	7	9	4	.189	.281	.318	.599	.129	.284	36	10	.276	69	-21	+0	+0	+6	+17	0.3
2031	28	MLB 68%	LAA	602	528	99	17	3	15	62	219	7	8	4	.188	.281	.316	.598	.129	.283	36	10	.274	68	-22	+0	-1	+6	+17	0.1
2032	29	MLB 77%	LAA	595	522	98	17	3	15	61	218	7	7	3	.188	.281	.318	.599	.130	.282	37	10	.272	67	-22	+0	-1	+6	+17	-0.0
2033	30	MLB 94%	LAA	586	514	95	16	3	14	60	217	7	5	3	.185	.279	.309	.588	.125	.280	37	10	.269	64	-24	-0	-2	+6	+17	-0.3
2034	31	MLB	LAA	573	502	91	16	2	13	59	215	7	2	2	.181	.276	.299	.575	.118	.279	38	10	.265	61	-25	-0	-3	+6	+16	-0.6
2035	32	MLB	LAA	555	487	87	15	2	13	57	211	6	0	1	.179	.273	.298	.570	.119	.277	38	10	.261	58	-26	-0	-4	+6	+16	-0.9
2036	33	MLB	LAA	526	461	80	14	2	11	54	203	6	0	0	.174	.269	.284	.553	.111	.275	39	10	.256	54	-27	+0	-4	+6	+15	-1.1
2037	34	MLB	LAA	478	422	72	12	2	10	48	189	5	0	0	.171	.263	.280	.543	.109	.273	40	10	.249	49	-28	+0	-5	+5	+14	-1.4
▸ Career Totals (MLE all levels + projections)
Career	—			8769	7683	1366	234	42	202	892	3369	113	128	66	.178	.273	.298	.571	.120	.280	38	10	.260	57	-424	-1	-20	+94	+248	-10.4
/ 162G	—			650	570	101	17	3	15	66	250	8	9	5	.177	.272	.296	.568	.119	.278	38	10	.260	57	-31	-0	-1	+7	+18	-0.8

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	18	ROK	ACL Angels	175	143	25	3	3	5	28	49	4	4	2	.175	.326	.343	.668	.168	.225	28	16	.310	95	-1	+0	—	—	+5	0.4
2022	19	A	Inland Empire 66ers	469	382	97	23	2	13	76	142	8	21	8	.254	.388	.427	.814	.173	.367	30	16	.367	139	+21	+1	—	—	+13	3.6
2023	20	AA	Rocket City Trash Pandas	60	53	9	0	0	1	4	24	1	0	0	.170	.241	.226	.468	.057	.276	40	7	.214	22	-5	+0	—	—	+2	-0.4
2023	20	A+	Tri-City Dust Devils	480	390	85	15	2	9	82	133	2	24	11	.218	.357	.336	.692	.118	.303	28	17	.319	103	+1	+0	—	—	+14	1.6
2023	20	INTL	Scottsdale Scorpions	76	68	11	1	0	2	7	15	1	3	1	.162	.250	.265	.515	.103	.176	20	9	.241	43	-5	+0	—	—	+2	-0.3
2024	21	A+	Tri-City Dust Devils	224	183	38	4	2	1	31	75	5	4	5	.208	.336	.268	.604	.060	.343	33	14	.285	76	-6	-1	—	—	+6	-0.1
2024	21	A	Inland Empire 66ers	242	190	49	13	2	11	44	74	6	4	2	.258	.412	.521	.934	.263	.358	31	18	.408	170	+19	+0	—	—	+7	2.7
2025	22	A+	Tri-City Dust Devils	501	410	87	14	4	16	73	151	9	6	4	.212	.343	.383	.726	.171	.284	30	15	.326	108	+4	-0	—	—	+14	1.8

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
Adrian Placencia (OGILVIE)	23	30	45	45	60	.168/.259/.280	.112	.277	7	5	41%	10%	50	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Blake Hunt 2022 · AA	23	36	43→50	49→40	40	.184/.244/.291	.107	.270	10	4	35%	7%	44	-2.1	.200/.256/.326	.126	.277	13	4	32%	6%	59	-1.1	.206/.268/.347	.141	.262	15	2	27%	6%	67	-0.3
✕Yasel Antuna 2023 · AA	23	37→35	44→45	48→50	47	.188/.265/.299	.111	.257	12	13	30%	9%	56	-1.3	.186/.265/.284	.098	.270	9	13	32%	9%	53	-1.5	.142/.231/.224	.082	.210	8	12	34%	9%	22	-1.5
✕Kevin Padlo 2019 · A	23	36→40	44→55	45→50	45	.183/.265/.303	.120	.269	11	7	35%	9%	57	-1.2	.201/.280/.365	.164	.291	19	9	35%	9%	80	+0.4	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Jose Acosta 2023 · A	23	39	45	49→55	36	.194/.252/.316	.122	.300	13	15	38%	6%	54	-1.4	.192/.244/.301	.109	.280	11	16	34%	6%	46	-2.0	.168/.215/.260	.093	.234	9	22	31%	5%	20	-1.0
✕Carson Blair 2013 · A	23	35	43→50	43→30	38	.178/.239/.287	.110	.282	10	6	39%	7%	41	-2.3	.197/.269/.330	.133	.320	12	4	39%	8%	66	-0.6	.192/.271/.336	.144	.315	14	1	40%	9%	65	-0.3
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	.190/.256/.326	.136	.273	15	10	35%	6%	59	-1.1	.205/.269/.352	.147	.297	17	9	35%	6%	72	-0.2	.199/.264/.350	.151	.290	18	7	36%	6%	66	-0.2
✕Luis Alexander Basabe 2020 · AA	23	40→41	41→45	48→50	40	.194/.257/.291	.097	.303	9	14	37%	7%	50	-1.8	.203/.274/.304	.101	.341	9	15	39%	9%	60	-1.0	.180/.275/.287	.107	.318	12	19	43%	11%	54	-0.3
✕Michael Toglia 2022 · AA	23	38→37	49→55	49→45	41	.196/.267/.342	.146	.295	17	9	38%	8%	68	-0.5	.198/.271/.366	.168	.280	22	7	36%	9%	76	+0.0	.193/.273/.374	.181	.256	25	7	34%	9%	75	+0.0
✕Kyle McCann 2022 · AA	24	35→33	44→50	48→40	36	.168/.245/.281	.113	.310	13	5	47%	8%	43	-2.2	.196/.270/.351	.155	.325	21	4	43%	8%	72	-0.2	.202/.277/.366	.164	.320	23	2	42%	8%	74	-0.0
✕Andy Yerzy 2022 · AA	24	32	50	48→40	41	.175/.260/.318	.143	.256	19	7	38%	8%	60	-1.0	.194/.275/.340	.146	.266	18	6	33%	9%	71	-0.3	.173/.250/.301	.128	.246	17	2	35%	8%	48	-0.9
✕Isan Díaz 2019 · AAA	23	39→40	46→55	48→45	43	.198/.269/.330	.132	.286	14	10	34%	8%	66	-0.6	.209/.280/.354	.145	.285	17	7	31%	8%	76	+0.1	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Drew Robinson 2015 · AAA	23	38→41	44→55	48→50	42	.188/.261/.307	.119	.286	11	9	36%	8%	56	-1.3	.195/.271/.352	.157	.280	18	12	35%	9%	72	-0.2	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Caleb Hamilton 2018 · A	23	36	43→45	44→45	47	.180/.269/.290	.110	.270	10	5	34%	10%	56	-1.3	.183/.252/.285	.102	.264	8	7	32%	8%	46	-2.0	.145/.237/.274	.129	.209	19	3	39%	10%	37	-0.8
✕Anthony Seigler 2022 · A	23	41→39	41→45	44→55	45	.195/.271/.299	.104	.290	8	6	34%	9%	58	-1.2	.192/.292/.304	.112	.255	10	14	26%	12%	69	-0.4	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕Juan Zabala 2022 · AA	23	40	43→40	46→50	37	.196/.253/.305	.109	.301	11	7	37%	6%	52	-1.6	.215/.278/.307	.092	.296	9	16	28%	7%	63	-0.9	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	.179/.244/.278	.099	.260	9	4	33%	8%	41	-2.3	.208/.262/.308	.100	.277	8	3	27%	6%	56	-1.3	.224/.284/.351	.127	.286	14	0	26%	7%	75	-0.0
✕Bobby Borchering 2014 · AA	23	37→43	49→50	41→30	37	.196/.251/.339	.143	.287	17	3	37%	6%	60	-1.0	.185/.239/.284	.099	.303	9	4	39%	6%	40	-2.4	.152/.194/.218	.065	.256	5	2	41%	4%	0	-2.2
✕Johan Lopez 2023 · AA	23	39	44→45	51→55	40	.195/.268/.308	.113	.290	12	13	35%	7%	59	-1.1	.200/.270/.300	.100	.307	9	12	35%	8%	58	-1.2	.166/.253/.240	.073	.276	4	11	37%	10%	33	-0.6
✕Edwin Díaz 2019 · AA	23	35→34	43→50	48→40	39	.179/.240/.284	.105	.269	11	4	36%	7%	41	-2.3	.180/.242/.311	.131	.286	14	4	40%	7%	50	-1.8	.155/.221/.299	.144	.231	20	4	42%	7%	35	-1.3
✕Joe DeCarlo 2017 · A	23	39→38	45→50	46→30	45	.193/.281/.316	.123	.278	13	2	33%	9%	68	-0.5	.195/.274/.331	.136	.278	16	3	34%	8%	68	-0.5	.176/.253/.301	.125	.251	16	0	35%	7%	49	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)