Adrian Hoyte — OGILVIE

Adrian HoyteOF DSL Tigers 1

Age 20 L/L 5'7" / 145 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION35 act + 6 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.200 / .333 / .200

PA6

HR0

K%33

BB%17

BABIP281

ISO91

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

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	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$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 Tigers 1	—	51	42	11	2	0	1	8	11	1	1	3	262	392	381	773	119	333	22	16	357	128	+2	-1	—	—	+1	0.2
2024	18	ROK	DSL Tigers 1	—	78	61	16	6	1	0	12	15	4	5	0	262	416	393	809	131	340	19	15	369	136	+3	+1	—	—	+2	0.6
2025	19	ROK	DSL Tigers 2	—	70	54	15	3	0	0	13	11	2	1	1	278	435	333	768	56	341	16	19	361	130	+3	-0	—	—	+2	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tigers 1	—	51	45	9	2	0	1	5	16	1	1	3	200	294	311	605	111	259	31	10	249	55	-3	-1	—	—	+1	-0.3
2024	18	ROK MLE	DSL Tigers 1	—	78	66	13	5	1	0	7	22	4	5	0	197	312	303	615	106	267	28	9	265	65	-3	+1	—	—	+2	-0.1
2025	19	ROK MLE	DSL Tigers 2	—	70	59	12	2	0	0	8	16	2	1	1	203	319	237	556	34	276	23	11	270	69	-3	-0	—	—	+2	-0.1
2023	17	ROK MLE	DSL Tigers 1	—	51	45	9	2	0	1	5	16	1	1	3	200	294	311	605	111	286	31	10	249	55	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tigers 1	—	51	42	11	2	0	1	8	11	1	1	3	262	392	381	773	119	333	22	16	357	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	78	66	13	5	1	0	7	22	4	5	0	197	312	303	615	106	289	28	9	265	65	—	—	—	—	—	—
2024	18	ROK RAW	DSL Tigers 1	—	78	61	16	6	1	0	12	15	4	5	0	262	416	393	809	131	340	19	15	369	65	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 2	—	70	59	12	2	0	0	8	16	2	1	1	203	319	237	556	34	273	23	11	270	69	—	—	—	—	—	—
2025	19	ROK RAW	DSL Tigers 2	—	70	54	15	3	0	0	13	11	2	1	1	278	435	333	768	56	341	16	19	361	69	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 1	—	51	45	9	2	0	1	5	16	1	1	3	200	294	311	605	111	259	31	10	249	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	78	67	13	5	1	0	7	22	4	5	0	194	312	299	610	104	267	28	9	265	65	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 2	—	70	60	12	2	0	0	8	16	2	1	1	200	319	233	552	33	276	23	11	270	69	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Tigers 1	—	51	45	9	2	0	1	5	16	1	1	3	200	294	311	605	111	259	31	10	249	55	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	78	67	13	5	1	0	7	22	4	5	0	194	312	299	610	104	267	28	9	265	65	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 2	—	70	60	12	2	0	0	8	16	2	1	1	200	319	233	552	33	276	23	11	270	69	—	—	—	—	—	—
YTD	20	ROK MLE	DET	—	35	29	4	1	1	0	6	12	0	0	0	138	286	241	527	103	235	34	17	234	45	-2	+0	+0	-0	+1	-0.2
▸ 2026 season
YTD	20	ROK RAW	DET	—	35	26	5	2	1	0	9	8	0	0	0	192	400	346	746	154	278	23	26	351	45	—	—	—	—	—	—
ROS	20	ROK MLE	DET	0%	6	5	1	0	0	0	1	2	0	0	0	200	333	200	533		285	33	17	268	68	-0	+0	+0	-0	+0	-0.0
TOT	20	ROK MLE	DET	—	41	34	5	1	1	0	7	14	0	0	0	147	293	235	528	88	250	34	17	239	48	-3	+0	+0	-0	+1	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	DET	34%	155	138	29	6	1	2	14	42	2	2	1	210	292	312	604	101	285	27	9	278	74	-5	+0	+0	-1	+3	-0.2
2028	22	MLB MLE	DET	48%	291	259	56	11	2	5	26	77	4	4	1	216	298	332	630	116	287	26	9	285	79	-7	+0	+0	-2	+6	-0.2
2029	23	MLB MLE	DET	54%	386	343	75	15	3	7	35	101	5	5	1	219	300	341	641	122	288	26	9	291	83	-8	+1	+0	-2	+8	-0.1
2030	24	MLB MLE	DET	55%	450	401	89	18	3	9	40	117	6	6	2	222	302	349	651	127	289	26	9	294	85	-8	+0	+0	-3	+10	-0.0
2031	25	MLB MLE	DET	56%	488	435	97	19	4	10	44	127	6	6	2	223	303	354	657	131	289	26	9	296	87	-8	+0	+0	-3	+11	0.0
2032	26	MLB MLE	DET	56%	509	451	102	20	4	11	46	132	7	6	2	226	308	361	669	135	289	26	9	298	88	-7	+0	+0	-3	+11	0.1
2033	27	MLB MLE	DET	55%	518	459	103	20	4	11	47	135	7	7	2	224	306	357	663	133	289	26	9	298	88	-8	+1	+0	-3	+11	0.1
2034	28	MLB MLE	DET	55%	520	460	103	20	4	11	48	136	7	6	2	224	307	357	663	133	288	26	9	297	87	-8	+0	-1	-3	+11	-0.0
2035	29	MLB MLE	DET	53%	514	454	101	20	4	10	48	136	7	6	2	222	306	350	657	128	287	26	9	295	86	-9	+0	-1	-3	+11	-0.2
2027	21	MLB CTX	DET	34%	53	47	10	2	0	1	5	14	1	1	0	213	302	319	621	106	280	26	9	265	74	-2	+0	+0	-0	+1	-0.1
2028	22	MLB CTX	DET	48%	141	125	26	5	1	2	13	37	2	2	0	208	293	312	605	104	282	26	9	272	79	-3	+0	+0	-1	+3	-0.1
2029	23	MLB CTX	DET	54%	209	185	41	8	2	4	19	55	3	3	1	222	304	351	656	130	283	26	9	277	83	-4	+0	+0	-1	+5	-0.1
2030	24	MLB CTX	DET	55%	249	222	49	10	2	5	22	65	3	3	1	221	300	351	651	131	284	26	9	281	85	-4	+0	+0	-1	+5	-0.0
2031	25	MLB CTX	DET	56%	273	242	52	10	2	5	25	71	4	3	1	215	299	335	634	120	284	26	9	282	87	-4	+0	+0	-2	+6	0.0
2032	26	MLB CTX	DET	56%	286	254	56	11	2	6	26	74	4	4	1	220	303	350	653	130	284	26	9	284	88	-4	+0	+0	-2	+6	0.1
2033	27	MLB CTX	DET	55%	287	255	56	11	2	6	26	75	4	4	1	220	302	349	651	129	284	26	9	284	88	-4	+0	+0	-2	+6	0.1
2034	28	MLB CTX	DET	55%	285	253	56	11	2	6	26	75	4	3	1	221	304	352	656	130	283	26	9	283	87	-4	+0	-0	-2	+6	-0.0
2035	29	MLB CTX	DET	53%	275	243	52	10	2	5	26	73	4	3	1	214	300	333	634	119	283	27	9	281	86	-5	+0	-1	-2	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2058	1826	398	78	15	40	188	539	29	26	7	218	301	343	644	125	285	26	9	281	84	-35	+2	-1	-12	+45	-0.2
/ 162G	—	A+C		—	650	577	127	25	5	13	59	170	9	8	2	220	302	348	651	128	287	26	9	281	84	-11	+1	-0	-4	+14	-0.1
Career	—	MLE		—	4036	3575	790	158	30	77	369	1059	58	55	19	221	304	347	651	126	290	26	9	293	84	-67	+4	-2	-23	+83	-0.6
/ 162G	—	MLE		—	650	576	127	25	5	12	59	171	9	9	3	220	303	344	647	123	290	26	9	293	84	-11	+1	-0	-4	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Guillermo 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
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.2	2,126	41	26	222	300	350	-13	+0	1.2	1.3
/162	664	13	8	-4.0	+0.0	0.4	pk7: 1
#6Nick 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

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 Hoyte (OGILVIE)	20	—	—	—	—	204/285/295	91	285	1	1	28%	9%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Victor Mesa Jr. 2022 · A	20	44	40→55	52→50	40	212/257/310	97	289	6	9	28%	5%	59	-1.7	208/259/315	107	277	10	9	27%	6%	61	-1.5	228/287/392	163	266	21	11	23%	7%	87	+0.2
✕Enmanuel Valdez 2019 · A	20	39→46	42→55	49→45	45	192/258/305	112	251	9	7	27%	7%	59	-1.6	194/247/315	121	261	13	7	30%	6%	57	-1.8	219/282/397	178	265	23	8	27%	7%	88	+0.3
✕Parker Meadows 2021 · A	21	39→47	41→55	46→55	42	195/250/286	91	268	9	9	30%	6%	51	-2.2	201/262/331	130	269	14	13	29%	7%	67	-1.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Addison Barger 2021 · A	21	41→45	39→55	49→45	44	198/267/288	90	270	6	5	28%	7%	59	-1.7	212/274/363	151	314	18	7	36%	7%	79	-0.2	218/289/380	162	269	18	6	25%	8%	85	+0.2
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Hoy Park 2016 · A	20	40→49	41→45	47→55	46	196/269/296	99	264	8	11	28%	8%	61	-1.5	204/280/290	86	281	5	16	27%	8%	63	-1.3	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Iverson Leonardo 2021 · A	19	45	40→50	47→50	44	211/284/318	107	303	5	9	30%	8%	72	-0.7	189/267/301	112	298	10	8	37%	8%	62	-1.4	154/246/261	107	253	10	8	40%	8%	44	-0.7
✕Juan Silva 2011 · A	20	40→46	39→45	52→55	40	190/249/284	95	293	5	8	35%	7%	50	-2.3	212/282/311	99	311	8	13	32%	9%	70	-0.9	229/311/332	104	311	8	29	27%	10%	83	+0.1
✕Ramón Flores 2012 · A	20	45→55	40→45	50	46	218/274/310	92	277	7	8	24%	7%	65	-1.2	233/289/332	99	292	7	10	21%	7%	76	-0.4	248/322/344	96	296	8	8	18%	9%	88	+0.3
✕Daryl Jones 2007 · A	20	41→51	41→45	49→50	41	200/266/295	96	265	8	10	27%	5%	60	-1.6	221/285/315	94	296	7	14	26%	6%	72	-0.7	238/305/342	104	309	8	14	24%	7%	82	+0.0
✕Leandro Pineda 2022 · A	20	35→45	37→45	43→45	46	171/257/239	68	251	4	7	31%	9%	45	-2.7	189/259/292	103	281	8	5	33%	7%	57	-1.8	210/283/339	129	268	13	5	26%	7%	74	-0.4
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1
✕Herman Armas 2007 · A	20	41	40→45	47→50	40	198/265/294	96	288	7	11	32%	6%	59	-1.6	218/287/329	111	286	11	9	26%	7%	76	-0.4	218/293/335	117	266	14	9	23%	8%	78	-0.2
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	46	182/270/274	91	279	8	6	35%	10%	57	-1.8	191/265/269	78	298	5	6	34%	9%	53	-2.1	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Tirso Ornelas 2019 · A	19	43→53	41→50	50→45	45	207/274/304	97	288	8	5	30%	8%	65	-1.2	190/254/267	77	278	5	5	31%	8%	49	-2.4	249/307/375	126	306	13	7	22%	7%	91	+0.6
✕Anthony Seigler 2019 · A	20	45→39	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	65	-1.2	195/274/272	77	286	5	5	30%	9%	58	-1.7	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Jordan Schafer 2007 · A	20	39→49	41→50	50→65	37	194/233/299	104	272	8	12	31%	5%	47	-2.5	233/286/369	136	325	11	13	30%	7%	84	+0.1	238/300/383	144	331	12	14	30%	8%	88	+0.3
✕Jon Waltenbury 2008 · A	20	41	40→55	45→40	43	201/266/292	91	286	8	5	31%	7%	59	-1.6	218/268/325	107	288	9	3	26%	6%	67	-1.1	216/265/321	105	281	9	1	26%	6%	61	-0.9

Career Stats + Projections

Career Comps

Career Path Comps