Luke Adams — OGILVIE

Luke Adams3B Nashville Sounds

Age 22 R/R 6'4" / 233 lbs AAA BB +10%HR +7% Svc 0.0 · Ctrl thru 2033 peak 2.4 · 2030

wRC+†100

AVG/OBP/SLG.206 / .344 / .355

PA320

HR9

SB8

K%28

BB%11

MLB%10%

Scouting · now → future

HIT

34↗44

PWR

42↗52

SPD

34↗37

FLD

32↗42

EYE

62↘58

trajectory · 10 yrs

2.7peak

2030

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+2.0	$17M	+$16M
2029	Arb-1	$0.8M	+2.3	$20M	+$19M
2030	Arb-2	$0.9M	+2.4	$22M	+$21M
2031	Arb-3	$5M	+2.4	$22M	+$17M
2032	Ext / FA-deal	$8M	+2.3	$22M	+$14M
2033	Ext / FA-deal	$10M	+2.0	$20M	+$10M
Totals		$25M		$123M	+$98M

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	ACL Brewers Gold	41	35	10	2	0	1	4	12	2	9	1	.286	.390	.429	.819	.143	.409	29	10	.334	114	+1	+1	+0	+0	+1	0.3
2023	19	A	Carolina Mudcats	440	368	65	13	3	9	47	142	21	30	10	.177	.305	.302	.607	.125	.253	32	11	.275	69	-16	+2	+0	+2	+12	0.0
2024	20	A+	Wisconsin Timber Rattlers	418	318	61	13	1	10	55	114	40	28	10	.192	.378	.333	.711	.142	.256	27	13	.314	98	-1	+2	+0	+1	+12	1.5
2025	21	AA	3 teams	385	309	57	15	0	11	44	106	28	14	4	.184	.339	.340	.678	.155	.235	28	11	.306	92	-3	+1	+0	+1	+11	1.0
▸ 2026 Season (actual · ROS · total)
2026	22	AAA	Nashville Sounds	51	43	8	1	0	2	3	10	4	1	2	.186	.300	.349	.649	.163	.188	20	6	.289	79	-1	-1	+0	+0	+1	-0.0
ROS	22	MLB	MIL	269	221	47	10	1	8	29	72	17	7	3	.213	.348	.376	.724	.163	.264	27	11	.321	104	+1	+0	-2	+1	+8	0.9
TOT	22	MLB	MIL	320	264	55	11	1	10	32	82	21	8	5	.208	.341	.371	.712	.163	.259	26	10	.316	100	+0	-0	-2	+1	+9	0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 27%	MIL	417	343	73	15	1	13	47	100	24	10	5	.213	.348	.376	.724	.163	.261	24	11	.332	112	+6	+0	-3	+1	+12	1.7
2028	24	MLB 45%	MIL	465	385	84	17	1	15	52	110	25	10	5	.218	.348	.384	.733	.166	.264	24	11	.336	115	+8	+0	-3	+2	+13	2.0
2029	25	MLB 59%	MIL	488	404	89	18	1	16	56	114	25	10	4	.220	.351	.389	.739	.168	.266	23	11	.339	117	+10	+0	-3	+2	+14	2.3
2030	26	MLB 77%	MIL	500	414	93	19	1	17	57	117	25	9	4	.225	.353	.399	.751	.174	.267	23	11	.340	118	+10	+0	-3	+2	+14	2.4
2031	27	MLB 92%	MIL	501	413	93	19	1	17	58	118	25	9	4	.225	.355	.400	.754	.174	.267	24	12	.340	118	+10	+0	-3	+2	+14	2.4
2032	28	MLB	MIL	497	411	90	18	1	16	58	118	25	7	3	.219	.350	.384	.735	.165	.267	24	12	.339	118	+10	+0	-4	+2	+14	2.3
2033	29	MLB	MIL	488	403	88	18	1	16	57	117	25	6	3	.218	.351	.387	.738	.169	.266	24	12	.337	116	+9	+0	-4	+2	+14	2.0
2034	30	MLB	MIL	478	395	85	17	1	15	56	116	24	5	2	.215	.347	.377	.725	.162	.264	24	12	.334	114	+7	+0	-5	+2	+14	1.8
2035	31	MLB	MIL	464	384	82	17	1	14	54	115	23	3	2	.214	.345	.372	.717	.159	.262	25	12	.330	111	+6	-0	-6	+2	+13	1.5
2036	32	MLB	MIL	446	369	77	16	1	13	52	112	22	2	2	.209	.341	.363	.704	.154	.261	25	12	.325	107	+4	-0	-6	+2	+13	1.1
2037	33	MLB	MIL	416	344	71	14	1	12	48	108	21	1	2	.206	.339	.358	.697	.151	.259	26	12	.320	103	+1	-1	-7	+1	+12	0.7
2038	34	MLB	MIL	371	307	61	12	1	10	43	99	18	1	4	.199	.332	.342	.674	.143	.256	27	12	.313	98	-1	-1	-7	+1	+11	0.2
2039	35	MLB	MIL	318	262	51	10	1	8	37	88	16	1	7	.195	.330	.332	.662	.137	.254	28	12	.305	92	-3	-3	-8	+1	+9	-0.3
2040	36	MLB	MIL	259	215	40	8	0	6	29	75	13	1	16	.186	.319	.307	.626	.121	.250	29	11	.296	85	-4	-6	-8	+1	+7	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			7661	6300	1317	271	18	227	883	1953	419	163	91	.209	.345	.366	.710	.157	.262	25	12	.324	106	+54	-4	-71	+27	+217	22.9
/ 162G	—			650	535	112	23	2	19	75	166	36	14	8	.209	.346	.366	.712	.157	.263	26	12	.324	106	+5	-0	-6	+2	+18	1.9

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	ACL Brewers Gold	41	32	12	3	0	1	7	8	2	9	1	.375	.512	.562	1.075	.188	.478	20	17	.476	223	+6	+1	—	—	+1	0.8
2023	19	A	Carolina Mudcats	440	339	79	18	3	11	76	99	21	30	10	.233	.404	.401	.805	.168	.292	22	17	.368	140	+20	+2	—	—	+12	3.5
2024	20	A+	Wisconsin Timber Rattlers	418	295	67	15	1	11	78	89	40	28	10	.227	.448	.397	.845	.169	.280	21	19	.392	158	+27	+2	—	—	+12	4.2
2025	21	AA	Biloxi Shuckers	278	211	49	13	0	11	43	60	21	10	3	.232	.408	.450	.858	.218	.270	22	15	.387	154	+17	+1	—	—	+8	2.6
2025	21	A+	Wisconsin Timber Rattlers	37	23	5	2	0	0	9	4	3	0	0	.217	.472	.304	.777	.087	.250	11	24	.372	143	+2	+0	—	—	+1	0.3
2025	21	INTL	Surprise Saguaros	70	51	17	3	0	3	11	12	4	4	1	.333	.471	.569	1.039	.235	.368	17	16	.438	193	+7	+0	—	—	+2	1.0

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
Luke Adams (OGILVIE)	22	34→44	42→52	34→37	58	.206/.344/.355	.149	.275	9	9	28%	11%	107	+1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Iván Herrera 2022 · AA	22	41→51	48→50	41→50	47	.213/.289/.342	.129	.274	17	4	28%	8%	77	+0.1	.236/.321/.368	.132	.306	14	9	26%	10%	97	+1.5	.278/.371/.439	.161	.339	19	13	22%	11%	132	+2.8
●Derek Norris 2011 · A	22	41→51	51→55	44→50	51	.210/.308/.369	.158	.282	19	6	31%	11%	92	+1.2	.208/.299/.376	.168	.272	20	10	30%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
●Gleyber Torres 2019 · MLB	22	50→54	51→60	46→50	47	.253/.319/.418	.166	.318	19	11	26%	8%	108	+2.3	.264/.332/.456	.192	.307	25	8	22%	9%	124	+3.4	.258/.343/.395	.138	.293	16	6	17%	11%	111	+2.7
●Sean Rodríguez 2007 · AA	22	46→49	52→60	48→50	47	.234/.306/.402	.168	.294	19	12	27%	8%	99	+1.7	.228/.299/.402	.174	.291	21	11	28%	7%	97	+1.5	.238/.311/.439	.201	.293	25	12	27%	7%	107	+1.7
●Tyler Flowers 2009 · A	23	48→54	49→55	41→40	49	.238/.312/.390	.152	.303	16	5	26%	9%	98	+1.6	.232/.319/.396	.164	.322	18	4	31%	10%	104	+2.0	.261/.361/.419	.158	.334	18	0	25%	10%	124	+1.9
●Logan O'Hoppe 2022 · AAA	22	43→48	49→60	46→45	43	.224/.274/.364	.140	.267	17	7	24%	6%	76	+0.1	.237/.307/.418	.181	.277	25	6	24%	8%	105	+2.1	.241/.314/.433	.192	.284	28	4	25%	8%	109	+1.6
✕Jaff Decker 2012 · AA	22	42→50	52→55	46→55	49	.217/.305/.388	.170	.285	20	9	30%	10%	96	+1.5	.210/.290/.346	.136	.279	14	9	28%	10%	79	+0.3	.223/.297/.332	.109	.287	9	13	24%	9%	75	+0.0
●Gary Sánchez 2015 · AA	22	46→51	47→65	45	42	.233/.283/.367	.133	.292	16	5	26%	6%	80	+0.4	.247/.300/.420	.173	.293	22	6	23%	6%	102	+1.9	.232/.315/.480	.248	.254	37	1	26%	9%	119	+2.3
✕Victor Castillo 2007 · A	22	47	47→50	42→40	57	.235/.333/.368	.134	.274	14	5	19%	11%	103	+1.9	.226/.280/.303	.077	.283	7	5	22%	6%	62	-0.9	.231/.275/.289	.059	.285	7	3	21%	5%	54	-0.5
✕Michael McKenry 2008 · A	23	45→46	55	41→40	48	.235/.301/.423	.188	.274	22	7	23%	8%	103	+1.9	.221/.289/.381	.160	.273	18	4	25%	8%	87	+0.8	.251/.325/.427	.177	.298	22	2	23%	9%	111	+0.9
●Zach Neto 2023 · AA	22	49→48	47→60	49→55	41	.240/.300/.376	.136	.307	14	12	26%	6%	90	+1.0	.246/.317/.423	.177	.300	21	19	25%	6%	111	+2.5	.248/.320/.446	.198	.298	25	24	25%	6%	113	+2.3
●Devin Mesoraco 2011 · AAA	23	43→52	52→60	41→40	43	.227/.282/.394	.167	.278	20	3	26%	6%	87	+0.8	.230/.286/.389	.159	.269	18	3	21%	7%	88	+0.9	.241/.331/.442	.201	.275	26	1	22%	9%	113	+1.4
●Brandon Drury 2015 · AA	22	46→55	47→60	41→40	42	.233/.274/.375	.142	.276	14	3	22%	5%	79	+0.3	.257/.299/.393	.136	.306	13	3	20%	5%	93	+1.3	.254/.305/.458	.204	.301	25	1	24%	6%	112	+2.0
●Willy Adames 2019 · MLB	23	50→53	45→60	46→50	46	.243/.306/.366	.123	.326	12	10	28%	8%	89	+1.0	.257/.320/.425	.168	.340	20	7	28%	8%	111	+2.5	.263/.332/.462	.199	.341	24	5	28%	9%	122	+2.4
✕Yusniel Díaz 2019 · AA	22	48→52	44→45	42→50	46	.236/.294/.356	.120	.303	12	10	26%	8%	82	+0.5	.216/.275/.345	.129	.292	13	7	29%	7%	72	-0.2	.205/.272/.325	.121	.274	14	9	29%	8%	63	-0.4
✕Travis Denker 2008 · A	22	46→52	48→50	43→45	51	.231/.301/.370	.139	.267	16	5	20%	9%	89	+1.0	.224/.290/.343	.119	.278	10	5	22%	8%	76	+0.1	.233/.308/.392	.159	.261	18	0	18%	8%	97	+0.8
●Max Ramirez 2007 · A	22	49→52	46→55	45→40	49	.242/.313/.371	.129	.308	14	3	25%	9%	94	+1.3	.245/.323/.398	.153	.326	18	3	28%	9%	106	+2.2	.239/.321/.395	.156	.322	19	2	30%	9%	103	+1.3
●Wil Myers 2013 · AAA	22	47→54	52→60	47→55	46	.239/.304/.406	.167	.303	20	8	28%	8%	99	+1.7	.247/.309/.411	.164	.316	19	10	27%	8%	103	+1.9	.241/.320/.442	.200	.295	25	22	26%	10%	109	+2.2
●Ian Stewart 2007 · AA	22	46→52	48→60	40→45	43	.227/.288/.382	.155	.297	13	4	28%	7%	86	+0.8	.239/.305/.410	.171	.310	18	8	28%	8%	102	+1.8	.239/.315/.432	.193	.304	23	9	28%	9%	108	+2.0
●James Darnell 2010 · A	23	51→52	51→55	45→40	55	.255/.336/.424	.169	.303	18	7	22%	10%	117	+2.9	.247/.317/.411	.164	.289	19	4	21%	9%	106	+2.2	.241/.310/.410	.169	.274	21	2	20%	8%	101	+1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)