Luis Chevalier — OGILVIE

Luis Chevalier3B ACL Royals

Age 24 S/R 5'11" / 160 lbs ROK HR -15%K -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 89 proj PA

wRC+†69

AVG/OBP/SLG.207 / .279 / .310

PA7

HR0

K%29

BB%8

ISO104

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

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	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2019	17	ROK	DSL Mariners	—	44	36	5	1	0	0	6	14	1	1	1	139	279	167	446	28	227	32	14	223	37	-3	-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	99	-0	+0	—	—	+4	0.4
2022	20	A	Daytona Tortugas	—	48	40	4	0	0	0	8	19	0	1	1	100	250	100	350		190	40	17	192	16	-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		182	28	11	178	7	-2	+0	—	—	+0	-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	174	+6	-1	—	—	+2	0.7
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	140	+6	+0	—	—	+3	0.9
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	114	+1	+0	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	17	ROK MLE	DSL Mariners	—	44	38	4	1	0	0	4	20	1	1	1	105	209	132	341	26	182	45	9	146	-15	-6	-0	—	—	+1	-0.5
2021	19	ROK MLE	ACL Mariners	—	168	150	24	3	1	2	15	51	2	2	0	160	246	233	479	73	217	30	9	221	36	-13	+0	—	—	+4	-0.9
2022	20	A MLE	Daytona Tortugas	—	48	42	3	0	0	0	6	26	0	1	1	71	188	71	259		172	54	12	136	-22	-7	-0	—	—	+1	-0.6
2022	20	ROK MLE	ACL Reds	—	18	17	1	0	0	0	1	7	0	1	0	59	111	59	170		146	39	6	116	-35	-3	+0	—	—	+0	-0.2
2023	21	A+ MLE	Dayton Dragons	—	30	27	5	0	0	1	3	8	0	1	0	185	267	296	563	111	205	27	10	240	49	-2	+0	—	—	+1	-0.1
2023	21	ROK MLE	ACL Reds	—	70	59	15	2	0	1	10	14	0	4	4	254	362	339	701	85	313	20	14	316	100	+0	-1	—	—	+2	0.1
2024	22	ROK MLE	ACL Reds	—	126	107	18	4	1	2	14	35	3	2	1	168	282	280	563	112	215	28	11	252	57	-6	+0	—	—	+3	-0.4
2025	23	ROK MLE	ACL Royals	—	60	55	10	4	1	1	3	19	2	0	0	182	250	345	595	164	227	32	5	224	38	-4	+0	—	—	+1	-0.3
2019	17	ROK MLE	DSL Mariners	—	44	38	4	1	0	0	4	20	1	1	1	105	209	132	341	26	222	45	9	146	-15	—	—	—	—	—	—
2019	17	ROK RAW	DSL Mariners	—	44	36	5	1	0	0	6	14	1	1	1	139	279	167	446	28	227	32	14	223	-15	—	—	—	—	—	—
2021	19	ROK MLE	ACL Mariners	—	168	150	24	3	1	2	15	51	2	2	0	160	246	233	479	73	224	30	9	221	36	—	—	—	—	—	—
2021	19	ROK RAW	ACL Mariners	—	168	140	31	4	1	3	25	35	2	2	0	221	347	329	676	107	272	21	15	314	36	—	—	—	—	—	—
2022	20	A MLE	2 teams	—	66	59	4	0	0	0	7	34	0	2	1	68	167	68	234		160	52	11	131	-25	—	—	—	—	—	—
2022	20	A RAW	2 teams	—	66	56	6	0	0	0	10	24	0	2	1	107	242	107	350		188	36	15	188	-25	—	—	—	—	—	—
2023	21	ROK MLE	2 teams	—	100	86	20	2	0	2	13	22	0	5	4	233	333	326	659	93	286	22	13	293	85	—	—	—	—	—	—
2023	21	ROK RAW	2 teams	—	100	78	23	3	0	2	21	16	0	5	4	295	444	410	855	115	344	16	21	390	85	—	—	—	—	—	—
2024	22	ROK MLE	ACL Reds	—	126	107	18	4	1	2	14	35	3	2	1	168	282	280	563	112	229	28	11	252	57	—	—	—	—	—	—
2024	22	ROK RAW	ACL Reds	—	126	98	24	6	2	3	23	24	3	2	1	245	403	439	842	194	296	19	18	375	57	—	—	—	—	—	—
2025	23	ROK MLE	ACL Royals	—	60	55	10	4	1	1	3	19	2	0	0	182	250	345	595	164	257	32	5	224	38	—	—	—	—	—	—
2025	23	ROK RAW	ACL Royals	—	60	54	13	6	1	1	4	13	2	0	0	241	317	444	761	204	300	22	7	336	38	—	—	—	—	—	—
2019	17	ROK MLE	DSL Mariners	—	44	39	4	1	0	0	4	20	1	1	1	103	209	128	338	26	182	45	9	146	-15	—	—	—	—	—	—
2021	19	ROK MLE	ACL Mariners	—	168	149	24	3	1	2	15	51	2	2	0	161	246	235	480	74	217	30	9	221	36	—	—	—	—	—	—
2022	20	A MLE	2 teams	—	66	59	4	0	0	0	7	34	0	2	1	68	167	68	234		165	52	11	131	-25	—	—	—	—	—	—
2023	21	ROK MLE	2 teams	—	100	87	20	2	0	2	13	22	0	5	4	230	333	322	655	92	281	22	13	293	85	—	—	—	—	—	—
2024	22	ROK MLE	ACL Reds	—	126	108	18	4	1	2	14	35	3	2	1	167	282	278	560	111	215	28	11	252	57	—	—	—	—	—	—
2025	23	ROK MLE	ACL Royals	—	60	55	10	4	1	1	3	19	2	0	0	182	250	345	595	164	227	32	5	224	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	ROK MLE	2 teams	—	100	87	20	2	0	2	13	22	0	5	4	230	333	322	655	92	281	22	13	293	85	—	—	—	—	—	—
2024	22	ROK MLE	ACL Reds	—	126	108	18	4	1	2	14	35	3	2	1	167	282	278	560	111	215	28	11	252	57	—	—	—	—	—	—
2025	23	ROK MLE	ACL Royals	—	60	55	10	4	1	1	3	19	2	0	0	182	250	345	595	164	227	32	5	224	38	—	—	—	—	—	—
▸ 2026 season
2026	24	MLB MLE	KC	0%	7	6	1	0	0	0	1	2	0	0	0	167	286	167	452		285	29	14	270	69	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	KC	30%	154	138	30	6	1	3	13	43	2	2	1	217	294	341	635	123	286	28	8	279	75	-5	+0	+0	+1	+3	-0.1
2028	26	MLB MLE	KC	44%	252	226	49	9	2	5	21	69	3	3	1	217	292	341	633	124	286	27	8	284	78	-6	+0	+0	+1	+5	0.0
2029	27	MLB MLE	KC	49%	310	278	60	11	2	6	26	84	3	4	1	216	290	335	624	119	286	27	8	286	80	-7	+0	+0	+1	+7	0.1
2030	28	MLB MLE	KC	51%	348	312	68	13	2	7	29	95	4	5	1	218	293	340	632	122	286	27	8	286	80	-8	+1	-1	+1	+8	0.0
2031	29	MLB MLE	KC	51%	364	326	70	13	2	7	31	100	4	4	1	215	291	331	622	117	285	27	9	284	78	-9	+0	-1	+1	+8	-0.1
2027	25	MLB CTX	KC	30%	46	42	9	2	0	1	4	13	0	1	0	214	283	333	616	119	283	28	9	267	75	-1	+0	+0	+0	+1	-0.0
2028	26	MLB CTX	KC	44%	111	100	22	4	1	2	9	30	1	2	0	220	291	340	631	120	283	27	8	272	78	-3	+0	+0	+0	+2	0.0
2029	27	MLB CTX	KC	49%	152	136	29	5	1	3	13	41	2	2	1	213	291	331	622	118	283	27	9	274	80	-4	+0	+0	+1	+3	0.0
2030	28	MLB CTX	KC	51%	179	160	33	6	1	3	15	49	2	2	1	206	282	312	595	106	283	27	8	274	80	-4	+0	-0	+1	+4	-0.0
2031	29	MLB CTX	KC	51%	187	167	35	7	1	3	16	51	2	2	1	210	286	317	604	108	282	27	9	272	78	-5	+0	-1	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	675	605	128	24	4	12	57	184	7	9	3	212	287	324	611	112	281	27	8	273	67	-17	+1	-1	+2	+15	-0.0
/ 162G	—	A+C		—	650	583	124	23	4	12	55	177	7	9	3	213	289	328	616	115	281	27	8	273	67	-16	+1	-1	+2	+14	-0.0
Career	—	MLE		—	1999	1781	358	66	12	35	177	574	24	30	12	201	282	310	593	109	273	29	9	268	67	-37	+2	-2	+5	+31	-0.1
/ 162G	—	MLE		—	650	579	116	21	4	11	58	187	8	10	4	200	282	307	590	107	273	29	9	268	67	-17	+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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.2	765	15	10	217	288	337	+3	+2	0.5	0.5
/162	664	13	9	+2.4	+1.3	0.4	pk7: 0
#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
Luis Chevalier (OGILVIE)	24	—	—	—	—	207/279/310	103	285	1	1	29%	8%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Logan Davidson 2022 · AA	24	38→46	40→50	44→50	41	187/252/278	91	292	8	6	37%	8%	51	-2.3	214/274/336	122	317	13	7	34%	7%	72	-0.7	219/278/350	131	319	15	7	34%	7%	74	-0.4
✕Tanner Allen 2023 · A	25	37	39→45	48→45	43	183/239/270	87	227	6	5	22%	6%	43	-2.8	215/272/318	103	268	10	8	22%	6%	67	-1.1	221/280/326	105	271	11	9	22%	7%	68	-0.5
✕Eric Wagaman 2022 · A	24	37→47	42→50	43→45	41	185/248/286	101	277	9	4	35%	8%	51	-2.2	221/278/361	140	274	16	10	25%	7%	80	-0.2	244/292/385	141	291	14	11	21%	6%	87	+0.3
✕CJ Alexander 2021 · AA	25	41→44	39→55	49→50	45	199/267/285	87	290	7	9	32%	8%	58	-1.7	195/236/347	152	268	19	15	34%	5%	61	-1.5	211/254/385	174	262	23	9	29%	5%	74	-0.4
✕Mario Yepez 2012 · A	24	41	40	48→45	39	203/246/293	90	260	7	6	25%	4%	51	-2.3	204/261/288	84	286	6	5	29%	6%	55	-1.9	179/238/244	65	247	6	2	28%	6%	36	-0.9
✕Connor Blair 2022 · A	24	37	39→45	48→45	45	179/255/257	79	269	6	11	34%	9%	47	-2.5	196/281/311	115	314	12	8	38%	9%	70	-0.8	152/262/269	117	243	16	5	41%	11%	52	-0.7
✕Travis Ozga 2011 · A	24	44	39→40	49→45	41	214/259/295	81	280	8	9	26%	5%	56	-1.9	207/258/286	79	277	7	5	26%	6%	54	-2.0	187/242/250	63	252	5	1	27%	7%	37	-1.0
✕Trey Amburgey 2018 · A	23	40→44	42→50	51→50	37	200/246/305	105	276	10	12	31%	4%	54	-2.0	214/254/340	126	277	14	9	27%	4%	65	-1.2	216/256/349	133	280	14	7	28%	4%	66	-0.9
✕Jacob Pearson 2022 · AA	24	37→39	42→40	48→50	43	189/244/290	101	253	9	11	29%	7%	50	-2.3	192/258/290	98	272	8	17	30%	7%	56	-1.9	174/247/262	88	248	6	22	30%	8%	43	-1.2
✕Reed Trimble 2022 · A	22	43	37→50	51→65	41	200/266/271	71	309	5	10	34%	8%	54	-2.0	217/280/311	94	307	7	17	29%	8%	68	-1.0	207/277/376	169	263	19	31	28%	8%	82	+0.0
✕Dan Cook 2010 · A	24	44	36→40	52→45	39	205/254/268	63	299	3	10	31%	6%	48	-2.5	232/273/314	82	322	3	7	27%	5%	65	-1.2	249/285/337	87	342	1	6	26%	4%	72	-0.5
✕Rhett Wiseman 2018 · A	24	38→44	42→50	44→45	39	194/239/300	106	257	10	7	28%	5%	51	-2.3	191/249/330	139	277	16	7	35%	6%	62	-1.4	176/237/317	141	266	17	6	39%	6%	52	-1.4
✕Gabe Snyder 2019 · A	24	42→36	39→50	43→40	42	203/265/289	85	285	7	6	30%	6%	58	-1.7	203/268/336	133	282	15	5	32%	7%	70	-0.8	188/259/337	150	253	18	4	32%	8%	65	-0.7
✕Michael Harrington 2010 · A	24	38→34	41→45	45→40	39	189/237/289	101	266	8	3	32%	6%	47	-2.5	191/243/275	84	284	6	5	33%	6%	46	-2.6	150/206/197	46	230	3	0	34%	6%	13	-1.5
✕Drew Vettleson 2016 · AA	25	40→50	41→45	49→50	37	200/241/301	101	282	8	10	32%	5%	51	-2.2	189/227/297	108	300	12	12	39%	4%	45	-2.7	165/195/270	105	265	13	11	42%	3%	25	-1.4
✕Nick Flair 2016 · A	23	38	40→55	44→40	40	189/242/284	96	274	7	5	33%	7%	48	-2.5	219/255/344	125	314	12	6	33%	4%	66	-1.1	235/252/384	149	329	15	4	33%	2%	72	-0.3
✕Taylor Jones 2018 · A	24	38→46	39→50	47→40	41	187/253/267	80	273	7	3	33%	7%	49	-2.4	223/293/361	138	298	15	3	29%	8%	85	+0.2	237/307/395	158	306	18	1	27%	8%	97	+0.9
✕Romy Gonzalez 2021 · A	24	41→44	41→50	51→55	37	195/252/299	103	305	8	10	37%	6%	55	-1.9	218/265/361	143	315	17	18	35%	5%	75	-0.5	277/323/436	159	352	16	16	25%	6%	111	+0.9
✕Michael Suiter 2016 · A	24	40→39	38→45	49→50	38	196/246/268	72	259	5	12	26%	4%	46	-2.6	213/268/307	94	293	9	10	29%	5%	63	-1.4	217/277/315	98	299	12	8	30%	6%	65	-0.5
✕Stefan Sabol 2016 · A	24	38→42	41→40	45→50	43	186/258/281	96	286	8	10	36%	9%	54	-2.0	206/272/305	99	330	8	8	37%	8%	64	-1.3	192/258/290	98	318	9	5	40%	8%	54	-0.8

Career Stats + Projections

Career Comps

Career Path Comps