Luis Chevalier — OGILVIE

Luis Chevalier3B ACL Royals

Age 24 S/R 5'11" / 160 lbs ROK HR -5%BB +4% Svc 0.0 · Ctrl thru 2037 peak 0.6 · 2029

wRC+†70

AVG/OBP/SLG.212 / .283 / .325

PA89

HR2

K%28

BB%8

MLB%0%

trajectory · 10 yrs

0.6peak

2029

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	+0.3	$1M	+$0.5M
2033	Ext / FA-deal	$1.0M	—	—	—
2034	Ext / FA-deal	$1.0M	—	—	—
2035	Ext / FA-deal	$0.2M	—	—	—
2036	Ext / FA-deal	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$4M		$-6M	-$10M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2019	17	ROK	DSL Mariners	44	38	4	1	0	0	4	20	1	1	1	.105	.209	.132	.341	.026	.222	45	9	.146	-30	-6	-0	+0	+0	+1	-0.5
2021	19	ROK	ACL Mariners	168	151	25	3	1	3	14	51	2	2	0	.166	.246	.258	.504	.093	.224	30	8	.225	30	-13	+0	+0	+1	+5	-0.8
2022	20	A	2 teams	66	59	4	0	0	0	7	33	0	2	1	.068	.167	.068	.234	.000	.154	50	11	.131	-42	-11	+0	+0	+0	+2	-0.9
2023	21	ROK	2 teams	100	86	20	2	0	2	13	22	0	5	4	.233	.333	.326	.659	.093	.286	22	13	.293	83	-2	-1	+0	+0	+3	0.1
2024	22	ROK	ACL Reds	126	107	18	4	1	2	14	35	3	2	1	.168	.282	.280	.563	.112	.229	28	11	.251	50	-7	+0	+0	+0	+4	-0.3
2025	23	ROK	ACL Royals	60	55	10	4	1	1	3	19	2	0	0	.182	.250	.345	.595	.164	.257	32	5	.225	30	-5	+0	+0	+0	+2	-0.3
▸ 2026 Season
2026	24	MLB	KC	89	81	18	3	1	2	7	25	1	1	0	.222	.292	.358	.650	.136	.286	28	8	.277	70	-3	+0	+0	+0	+3	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 10%	KC	154	138	31	6	1	3	13	42	2	2	1	.225	.301	.348	.648	.123	.288	27	8	.289	79	-4	+0	+0	+1	+4	0.1
2028	26	MLB 25%	KC	252	226	51	9	2	6	21	68	3	4	1	.226	.300	.363	.663	.137	.290	27	8	.296	85	-4	+0	+0	+1	+7	0.4
2029	27	MLB 42%	KC	310	277	63	11	2	8	27	83	3	5	1	.227	.303	.368	.671	.141	.290	27	9	.297	86	-5	+1	+0	+1	+9	0.6
2030	28	MLB 52%	KC	348	311	70	13	2	8	30	93	4	5	1	.225	.301	.357	.658	.132	.290	27	9	.297	85	-6	+1	-1	+1	+10	0.5
2031	29	MLB 63%	KC	364	325	73	13	2	9	32	99	4	4	1	.225	.302	.360	.662	.135	.289	27	9	.295	84	-7	+0	-1	+1	+10	0.4
2032	30	MLB 72%	KC	373	333	73	13	2	9	33	102	4	3	0	.219	.297	.351	.649	.132	.287	27	9	.292	81	-8	+1	-2	+1	+11	0.3
2033	31	MLB 81%	KC	368	329	71	13	2	8	32	102	4	2	0	.216	.293	.340	.634	.125	.286	28	9	.288	79	-9	+0	-3	+1	+10	0.0
2034	32	MLB	KC	355	318	68	12	2	8	31	101	3	0	0	.214	.290	.340	.629	.126	.284	28	9	.283	75	-10	+0	-4	+1	+10	-0.2
2035	33	MLB	KC	329	295	62	11	2	7	28	96	3	0	0	.210	.285	.332	.617	.122	.283	29	9	.278	71	-11	+0	-4	+1	+9	-0.5
2036	34	MLB	KC	288	258	52	9	1	5	25	86	3	0	0	.202	.280	.302	.582	.101	.281	30	9	.272	66	-11	+0	-5	+1	+8	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			3794	3387	713	127	22	81	334	1077	42	38	12	.211	.289	.333	.622	.122	.281	28	9	.279	72	-121	+3	-20	+14	+107	-1.7
/ 162G	—			650	580	123	22	4	14	57	185	7	7	2	.212	.290	.336	.626	.124	.284	28	9	.279	72	-21	+1	-3	+2	+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
2019	17	ROK	DSL Mariners	44	36	5	1	0	0	6	14	1	1	1	.139	.279	.167	.446	.028	.227	32	14	.223	29	-4	-0	—	—	+1	-0.3
2021	19	ROK	ACL Mariners	168	140	31	4	1	3	25	35	2	2	0	.221	.347	.329	.676	.107	.272	21	15	.314	98	-0	+0	—	—	+5	0.5
2022	20	A	Daytona Tortugas	48	40	4	0	0	0	8	19	0	1	1	.100	.250	.100	.350	.000	.190	40	17	.192	5	-5	-0	—	—	+1	-0.4
2022	20	ROK	ACL Reds	18	16	2	0	0	0	2	5	0	1	0	.125	.222	.125	.347	.000	.182	28	11	.178	-5	-2	+0	—	—	+1	-0.1
2023	21	A+	Dayton Dragons	30	25	5	0	0	1	5	6	0	1	0	.200	.333	.320	.653	.120	.222	20	17	.306	93	-0	+0	—	—	+1	0.1
2023	21	ROK	ACL Reds	70	53	18	3	0	1	16	10	0	4	4	.340	.493	.453	.946	.113	.395	14	23	.425	184	+7	-1	—	—	+2	0.8
2024	22	ROK	ACL Reds	126	98	24	6	2	3	23	24	3	2	1	.245	.403	.439	.842	.194	.296	19	18	.375	145	+6	+0	—	—	+4	1.0
2025	23	ROK	ACL Royals	60	54	13	6	1	1	4	13	2	0	0	.241	.317	.444	.761	.204	.300	22	7	.336	116	+1	+0	—	—	+2	0.3

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
Luis Chevalier (OGILVIE)	24	—	—	—	—	.212/.283/.325	.112	.286	2	1	28%	8%	70	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Meyers 2023 · A	24	42→46	44→50	51→40	43	.212/.273/.333	.122	.278	12	9	28%	7%	67	-0.5	.228/.285/.377	.149	.300	18	5	29%	6%	85	+0.7	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3
✕Andre Lipcius 2022 · AA	24	43→50	44→50	48→45	46	.215/.274/.331	.116	.276	11	7	26%	8%	67	-0.5	.231/.302/.363	.132	.287	14	8	23%	9%	87	+0.8	.231/.303/.365	.135	.286	16	7	24%	9%	86	+0.7
✕Skye Bolt 2018 · A	24	40→39	42→50	46→50	40	.196/.254/.307	.111	.282	9	8	33%	7%	53	-1.5	.204/.266/.339	.135	.293	14	12	33%	7%	66	-0.6	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕Mark Mathias 2019 · AA	24	44→46	42→50	52→50	45	.212/.285/.324	.112	.284	9	10	27%	8%	70	-0.3	.226/.290/.356	.130	.287	12	13	24%	7%	80	+0.4	.243/.319/.380	.137	.317	15	17	26%	9%	97	+0.9
✕Brett Harris 2022 · A	24	45→50	45	49→50	43	.220/.290/.339	.119	.296	12	11	29%	7%	76	+0.1	.239/.311/.381	.142	.289	16	10	22%	8%	96	+1.5	.236/.316/.369	.133	.284	15	9	22%	8%	91	+0.9
✕Cooper Hummel 2019 · A	24	41→49	42→50	46→55	49	.198/.290/.302	.104	.280	9	5	30%	10%	68	-0.5	.214/.308/.356	.142	.292	16	6	30%	10%	89	+1.0	.217/.330/.365	.148	.295	13	19	28%	12%	98	+1.1
✕Luis Santana 2023 · A	24	44	45	48→50	42	.218/.280/.341	.124	.281	13	11	27%	6%	73	-0.1	.212/.267/.334	.122	.269	14	7	26%	5%	66	-0.6	.195/.248/.310	.116	.241	15	5	25%	5%	48	-1.0
✕Matt Mangini 2010 · AA	24	44→50	44→45	49→45	40	.218/.271/.331	.113	.293	12	7	29%	6%	66	-0.6	.248/.290/.362	.114	.327	11	6	26%	5%	81	+0.4	.260/.301/.363	.103	.345	10	4	26%	5%	83	+0.3
✕Luis Lara 2018 · A	23	46	44→45	52→45	48	.226/.285/.348	.122	.272	10	6	21%	7%	76	+0.0	.201/.267/.278	.077	.279	5	5	27%	8%	50	-1.7	.159/.237/.177	.019	.231	0	2	28%	9%	9	-1.4
✕Ronnie Richardson 2014 · A	24	44	42→40	48→50	45	.213/.275/.318	.106	.281	8	8	26%	7%	64	-0.8	.216/.308/.313	.097	.284	6	10	24%	9%	78	+0.2	.210/.315/.303	.093	.277	5	10	23%	10%	77	+0.1
✕Brandon Boggs 2007 · A	24	42→48	47→55	50	49	.213/.283/.353	.140	.267	14	13	25%	9%	77	+0.1	.216/.297/.372	.156	.294	16	11	30%	10%	88	+0.9	.210/.299/.361	.152	.292	15	10	31%	11%	84	+0.5
✕Matthew Acosta 2022 · A	24	45	44→45	53→50	46	.219/.290/.343	.124	.299	11	9	29%	8%	77	+0.1	.205/.273/.316	.111	.294	11	13	32%	8%	63	-0.9	.181/.252/.276	.095	.261	10	16	33%	8%	42	-1.4
✕Blake Perkins 2022 · AA	25	38→48	44→50	52→55	44	.190/.262/.300	.110	.275	12	15	34%	8%	55	-1.4	.219/.299/.356	.137	.299	14	20	29%	10%	85	+0.7	.228/.311/.359	.130	.302	13	25	27%	10%	87	+0.5
✕Jake Slaughter 2021 · A	24	46	40→55	49→55	42	.223/.274/.317	.094	.292	8	7	26%	6%	63	-0.8	.217/.280/.339	.122	.313	14	19	33%	6%	72	-0.2	.220/.293/.382	.162	.298	21	25	32%	7%	86	+0.6
✕Patrick Bailey 2023 · A	24	39→49	46→45	47→45	45	.199/.271/.326	.128	.273	14	6	31%	9%	66	-0.6	.223/.284/.340	.117	.298	12	5	28%	8%	74	-0.1	.229/.288/.338	.110	.303	11	4	27%	7%	75	-0.0
✕Bradley Suttle 2010 · A	24	43→47	46→50	50→45	42	.215/.267/.348	.134	.284	13	5	29%	6%	69	-0.4	.210/.265/.333	.123	.312	11	7	34%	6%	64	-0.8	.200/.258/.324	.124	.301	11	7	35%	6%	58	-0.9
✕Kody Clemens 2021 · AA	25	40→43	44→60	51→45	43	.202/.264/.324	.123	.275	11	9	30%	7%	62	-0.9	.208/.262/.373	.165	.263	20	8	29%	6%	73	-0.1	.216/.278/.416	.200	.247	26	8	25%	7%	88	+0.6
✕Andrew Navigato 2022 · AA	24	41→40	44→60	46→50	44	.202/.279/.318	.116	.282	12	12	31%	8%	67	-0.5	.221/.280/.382	.161	.276	19	14	27%	6%	84	+0.6	.220/.279/.406	.186	.266	23	17	26%	6%	87	+0.6
✕Reid Fronk 2010 · A	24	42→48	44→45	45→50	46	.207/.289/.325	.118	.276	11	10	28%	8%	73	-0.1	.204/.289/.298	.094	.286	6	8	28%	9%	66	-0.6	.196/.286/.284	.087	.279	4	7	28%	9%	59	-0.8
✕John Tolisano 2013 · AA	24	42→47	46→50	46→50	46	.214/.277/.349	.135	.276	13	13	27%	8%	73	-0.1	.207/.270/.332	.125	.272	12	9	27%	8%	66	-0.6	.179/.247/.293	.114	.238	12	3	29%	8%	45	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)