Luis Almeyda — OGILVIE

Luis AlmeydaSS Delmarva Shorebirds

Age 20 R/R 6'2" / 213 lbs A HR +9% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION90 act + 12 ros · stats below = ROS only

showingROS

wRC+†51

AVG/OBP/SLG.182 / .250 / .182

PA12

HR0

K%25

BB%8

BABIP266

ISO96

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 35 / POW 30

Toolsscout grade

CONTACT35

scouting grade only

POWER30

scouting grade only

EYE35

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$1M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$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)
2023	17	ROK	DSL Orioles Orange	—	69	58	11	1	0	2	8	14	1	2	2	190	299	310	609	121	205	20	12	275	73	-2	-0	—	—	+1	-0.1
2024	18	ROK	FCL Orioles	—	190	155	31	1	1	5	31	49	2	12	5	200	340	316	657	116	252	26	16	306	93	-2	+0	—	—	+4	0.3
2025	19	A	Delmarva Shorebirds	—	204	181	43	9	1	3	18	52	3	14	9	238	317	348	665	110	312	25	9	301	90	-3	-1	—	—	+4	0.1
2025	19	ROK	FCL Orioles	—	71	61	15	6	1	0	8	14	2	6	1	246	352	377	729	131	319	20	11	333	111	+1	+1	—	—	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Orioles Orange	—	69	61	9	1	0	2	5	21	1	2	2	148	224	262	486	115	155	30	7	199	21	-6	-0	—	—	+1	-0.6
2024	18	ROK MLE	FCL Orioles	—	190	166	25	1	1	4	20	68	2	12	5	151	250	241	491	90	201	36	11	215	32	-15	+0	—	—	+4	-1.1
2025	19	A MLE	Delmarva Shorebirds	—	204	188	36	7	1	3	11	74	3	14	9	191	248	287	535	96	289	36	5	235	45	-13	-1	—	—	+4	-1.0
2025	19	ROK MLE	FCL Orioles	—	71	64	11	4	1	0	5	21	2	6	1	172	254	266	519	94	230	30	7	212	30	-6	+1	—	—	+2	-0.4
2023	17	ROK MLE	DSL Orioles Orange	—	69	61	9	1	0	2	5	21	1	2	2	148	224	262	486	115	175	30	7	199	21	—	—	—	—	—	—
2023	17	ROK RAW	DSL Orioles Orange	—	69	58	11	1	0	2	8	14	1	2	2	190	299	310	609	121	205	20	12	275	21	—	—	—	—	—	—
2024	18	ROK MLE	FCL Orioles	—	190	166	25	1	1	4	20	68	2	12	5	151	250	241	491	90	219	36	11	215	32	—	—	—	—	—	—
2024	18	ROK RAW	FCL Orioles	—	190	155	31	1	1	5	31	49	2	12	5	200	340	316	657	116	252	26	16	306	32	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	275	252	46	11	1	3	16	95	5	20	10	183	245	270	515	87	276	35	6	229	41	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	275	242	58	15	2	3	26	66	5	20	10	240	326	355	681	116	314	24	9	309	41	—	—	—	—	—	—
2023	17	ROK MLE	DSL Orioles Orange	—	69	63	9	1	0	2	5	21	1	2	2	143	224	254	478	111	155	30	7	199	21	—	—	—	—	—	—
2024	18	ROK MLE	FCL Orioles	—	190	166	25	1	1	4	20	68	2	12	5	151	250	241	491	90	201	36	11	215	32	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	275	252	46	11	1	3	16	95	5	20	10	183	245	270	515	87	274	35	6	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Orioles Orange	—	69	63	9	1	0	2	5	21	1	2	2	143	224	254	478	111	155	30	7	199	21	—	—	—	—	—	—
2024	18	ROK MLE	FCL Orioles	—	190	166	25	1	1	4	20	68	2	12	5	151	250	241	491	90	201	36	11	215	32	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	275	252	46	11	1	3	16	95	5	20	10	183	245	270	515	87	274	35	6	229	41	—	—	—	—	—	—
YTD	20	A MLE	BAL	—	90	86	12	2	0	0	4	31	0	1	2	140	178	163	341	23	218	34	4	159	-6	-11	-1	+0	+1	+2	-0.9
▸ 2026 season
YTD	20	A RAW	BAL	—	90	84	15	3	0	0	6	22	0	1	2	179	233	214	448	36	242	24	7	210	-6	—	—	—	—	—	—
ROS	20	A MLE	BAL	0%	12	11	2	0	0	0	1	3	0	0	0	182	250	182	432		262	25	8	243	51	-1	+0	+0	+0	+0	-0.0
TOT	20	A MLE	BAL	—	102	97	14	2	0	0	5	34	0	1	2	144	186	165	351	21	222	33	5	169	0	-12	-1	+0	+1	+2	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	BAL	34%	332	306	63	13	1	5	20	84	3	7	3	206	261	304	565	98	268	25	6	260	62	-15	+0	+0	+4	+7	-0.4
2028	22	MLB MLE	BAL	48%	426	392	84	17	2	8	27	106	4	10	4	214	272	329	601	115	271	25	6	270	69	-16	+0	+0	+5	+9	-0.2
2029	23	MLB MLE	BAL	54%	486	446	97	19	2	10	32	119	5	11	5	217	277	336	614	119	273	24	7	276	73	-16	+0	+0	+5	+11	0.0
2030	24	MLB MLE	BAL	55%	525	479	106	21	2	11	35	127	6	13	6	221	283	342	625	121	274	24	7	280	75	-15	+0	+0	+6	+11	0.2
2031	25	MLB MLE	BAL	56%	547	499	111	22	2	12	37	132	6	13	6	222	284	347	631	124	274	24	7	281	76	-15	+0	+0	+6	+12	0.3
2032	26	MLB MLE	BAL	60%	559	510	113	22	3	12	38	135	6	14	6	222	283	347	630	125	274	24	7	282	77	-16	+0	+0	+6	+12	0.3
2033	27	MLB MLE	BAL	62%	561	511	112	22	2	12	39	136	6	14	6	219	282	341	623	121	274	24	7	282	77	-15	+0	+0	+6	+12	0.3
2034	28	MLB MLE	BAL	63%	558	508	112	22	2	12	39	136	6	13	6	220	284	343	626	122	273	24	7	281	76	-16	+0	-1	+6	+12	0.2
2035	29	MLB MLE	BAL	64%	549	499	108	21	2	11	39	135	6	13	6	216	281	333	614	116	273	25	7	279	75	-16	+0	-1	+6	+12	0.0
2027	21	MLB CTX	BAL	34%	114	105	22	5	0	2	7	29	1	2	1	210	265	314	580	105	272	25	6	257	62	-5	+0	+0	+1	+2	-0.1
2028	22	MLB CTX	BAL	48%	206	189	41	8	1	4	13	51	2	5	2	217	275	333	608	116	275	25	6	267	69	-8	+0	+0	+2	+4	-0.1
2029	23	MLB CTX	BAL	54%	264	242	54	11	1	6	17	65	3	6	3	223	282	351	634	128	277	25	6	273	73	-8	+0	+0	+3	+6	0.0
2030	24	MLB CTX	BAL	55%	291	267	59	12	1	6	19	71	3	7	3	221	280	341	621	120	278	24	7	277	75	-8	+0	+0	+3	+6	0.1
2031	25	MLB CTX	BAL	56%	306	279	63	13	1	7	21	74	3	7	3	226	287	355	642	129	278	24	7	278	76	-9	+0	+0	+3	+7	0.2
2032	26	MLB CTX	BAL	60%	336	306	69	14	1	8	23	81	4	8	4	225	288	356	644	131	278	24	7	278	77	-9	+0	+0	+4	+7	0.2
2033	27	MLB CTX	BAL	62%	347	316	71	14	1	8	24	84	4	8	4	225	288	351	639	127	278	24	7	279	77	-10	+0	+0	+4	+8	0.2
2034	28	MLB CTX	BAL	63%	352	320	71	14	1	8	25	86	4	8	4	222	287	347	633	125	278	24	7	278	76	-10	+0	-0	+4	+8	0.1
2035	29	MLB CTX	BAL	64%	350	318	71	14	1	8	25	86	4	8	4	223	288	349	637	126	277	25	7	276	75	-10	+0	-1	+4	+8	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2566	2342	521	105	8	57	174	627	28	59	28	222	284	347	631	125	278	24	7	275	70	-77	+1	-1	+27	+56	0.5
/ 162G	—	A+C		—	650	593	132	27	2	14	44	159	7	15	7	223	284	346	630	123	278	24	7	275	70	-20	+0	-0	+7	+14	0.1
Career	—	MLE		—	5089	4640	988	192	20	102	348	1297	56	142	65	213	276	329	605	116	271	25	7	272	70	-141	+2	-2	+49	+99	0.7
/ 162G	—	MLE		—	650	593	127	25	3	13	44	166	7	18	8	214	276	332	609	118	273	26	7	272	70	-20	+0	-0	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#5Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.3	2,830	57	67	219	277	338	+30	+18	2.2	2.3
/162	664	13	16	+7.1	+4.2	0.5	pk7: 2
#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 Almeyda (OGILVIE)	20	35	30	60	35	197/251/281	83	262	3	6	26%	6%	51	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Glenn Santiago 2021 · A	20	43	37→40	55→45	46	200/274/277	78	262	3	13	23%	7%	59	-1.6	205/269/296	91	280	7	9	28%	7%	61	-1.5	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Ciro Rosero 2006 · A	20	43	40→30	52→60	42	212/265/301	89	269	8	20	24%	5%	61	-1.5	218/275/300	82	282	7	21	24%	6%	64	-1.3	216/275/289	73	276	8	28	23%	6%	61	-0.5
✕Ryan Vega 2017 · A	20	44	40	54→45	41	212/260/305	93	270	8	9	24%	5%	59	-1.6	214/273/302	88	290	7	7	27%	6%	64	-1.3	192/260/272	79	271	7	6	30%	7%	52	-1.2
✕Gilbert Gomez 2012 · A	20	40→37	40	52→50	40	195/254/288	93	274	7	14	31%	6%	53	-2.1	201/272/277	76	304	4	8	32%	8%	58	-1.7	190/273/260	70	294	3	7	33%	10%	51	-1.4
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Mikey Edie 2017 · A	20	43	34→30	50	36	201/262/254	53	296	2	14	31%	4%	49	-2.4	216/267/279	63	314	3	13	30%	4%	55	-1.9	200/250/260	60	280	3	7	28%	3%	41	-1.5
✕Janelfry Zorrilla 2011 · A	20	41	40→45	50	42	202/257/291	89	262	7	13	26%	6%	55	-2.0	224/279/352	128	280	13	10	24%	6%	78	-0.3	225/276/353	127	282	14	8	25%	5%	75	-0.2
✕Albertson Asigen 2022 · A	20	43	40	53→55	44	206/261/303	97	274	6	6	27%	7%	59	-1.7	224/297/299	75	327	4	17	30%	8%	72	-0.7	212/299/299	88	345	7	27	37%	9%	70	-0.3
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕Adrian Abreu 2011 · A	20	43	37→40	52→55	44	204/258/281	77	261	3	10	22%	6%	53	-2.1	205/283/290	85	253	7	15	20%	9%	65	-1.2	194/284/274	80	231	8	20	19%	10%	61	-0.5
✕Gorge Munoz 2017 · A	21	43	38→40	50→55	42	205/260/282	78	258	5	17	22%	5%	54	-2.0	206/257/291	85	297	7	10	31%	5%	55	-1.9	189/234/268	78	291	9	9	37%	3%	38	-0.8
✕Zack Larson 2014 · A	20	46→36	41→45	53→50	41	222/281/319	97	293	8	13	26%	6%	71	-0.8	201/256/267	66	276	3	10	27%	6%	49	-2.4	183/239/232	49	254	1	10	26%	5%	34	-1.9
✕Emilio King 2010 · A	20	40	37→45	51→40	43	190/274/270	79	258	4	9	26%	6%	58	-1.7	202/252/288	86	301	6	4	33%	4%	53	-2.1	211/249/305	94	308	7	2	33%	3%	52	-1.1
✕Fabian Pertuz 2021 · A	20	46→34	38→40	52→55	41	218/270/299	81	295	4	15	26%	5%	61	-1.5	186/232/269	83	289	7	9	36%	5%	40	-3.0	164/212/245	80	249	7	12	36%	4%	25	-2.3
✕Jose Bellorin 2011 · A	20	42	39→40	47→50	42	203/257/285	81	265	6	10	25%	6%	53	-2.1	223/280/308	85	271	6	9	19%	6%	68	-1.0	239/295/316	78	276	6	10	15%	6%	73	-0.3
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	74	295	5	11	30%	6%	53	-2.1	191/260/268	77	304	6	15	36%	7%	51	-2.2	188/266/266	78	286	5	32	33%	7%	52	-0.9
✕Yeldrys Molina 2009 · A	20	43	38→40	48→50	44	206/265/287	82	281	4	9	27%	7%	57	-1.8	194/252/272	78	285	4	8	31%	7%	49	-2.4	139/198/200	60	203	0	9	29%	6%	11	-1.2
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Gilberto Celestino 2019 · A	20	43→52	38→45	52→55	41	206/254/285	79	277	5	12	27%	6%	52	-2.2	221/275/320	99	284	8	8	24%	6%	68	-1.0	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Jeremy Arocho 2018 · A	19	43→45	38→30	53→60	41	203/260/286	83	285	4	12	29%	6%	55	-2.0	223/283/291	68	291	2	11	22%	7%	64	-1.3	223/334/268	45	305	1	34	23%	14%	77	-0.2

Career Stats + Projections

Career Comps

Career Path Comps