Michael Oliveto — OGILVIE

Michael OlivetoC Lakeland Flying Tigers

Age 20 L/R A HR -8% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 159 proj PA

wRC+†73

AVG/OBP/SLG.217 / .283 / .324

PA159

HR3

K%27

BB%8

ISO109

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · ContractCON 47 / POW 50

Toolsscout grade

CONTACT47

scouting grade only

POWER50

scouting grade only

EYE40

scouting grade only

SPEED34

scouting grade only

DEFENSE44

scouting grade only

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
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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$2M	+0.4	$0.9M	+$0.0M (cut)
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$6M	+$3M

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. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2026	19	A	Lakeland Flying Tigers	—	87	75	24	6	0	1	12	17	0	0	0	320	414	440	854	120	404	20	14	386	104	—	—	—	—	—	—
2026	19	ROK	FCL Tigers	—	83	69	17	4	1	1	14	12	0	0	0	246	373	377	750	130	286	14	17	344	55	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	19	A MLE	Lakeland Flying Tigers	—	87	78	22	5	0	1	9	23	0	0	0	282	356	385	741	103	389	26	10	322	104	—	—	—	—	—	—
2026	19	ROK MLE	FCL Tigers	—	83	74	14	3	1	1	9	17	0	0	0	189	277	297	574	108	231	20	11	249	55	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	170	153	36	8	1	2	17	40	0	0	0	235	312	340	652	105	306	24	10	286	80	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	170	144	41	10	1	2	26	29	0	0	0	285	394	410	804	125	345	17	15	365	80	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	170	151	36	8	1	2	17	40	0	0	0	238	312	344	656	106	312	24	10	286	80	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	19	A MLE	2 teams	—	170	151	36	8	1	2	17	40	0	0	0	238	312	344	656	106	312	24	10	286	80	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	DET	0%	280	254	56	10	2	5	22	75	2	3	1	218	285	327	612	109	288	27	8	276	73	-9	+0	-4	+5	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	DET	25%	250	226	51	9	2	5	20	66	2	3	1	222	290	338	628	116	289	26	8	283	78	-7	+0	-4	+4	+5	-0.1
2029	22	MLB MLE	DET	38%	364	329	74	14	2	7	29	94	3	4	1	225	294	347	641	122	290	26	8	288	81	-8	+0	-5	+7	+8	0.1
2030	23	MLB MLE	DET	45%	439	398	90	17	3	9	35	112	3	5	2	228	297	355	651	127	291	26	8	292	84	-8	+0	-5	+8	+10	0.4
2031	24	MLB MLE	DET	48%	488	441	102	19	3	11	40	124	4	5	2	230	299	361	660	131	292	25	8	296	86	-8	+0	-4	+9	+11	0.8
2032	25	MLB MLE	DET	50%	516	465	108	20	3	12	42	130	4	5	2	231	301	365	666	134	292	25	8	298	88	-7	+0	-3	+9	+11	1.1
2033	26	MLB MLE	DET	50%	520	468	108	20	3	12	43	131	4	5	2	231	301	366	667	135	292	25	8	299	88	-7	+0	-3	+9	+11	1.1
2034	27	MLB MLE	DET	50%	520	468	108	20	3	12	43	132	4	5	2	230	300	364	663	133	291	25	8	297	87	-8	+0	-3	+9	+11	1.0
2035	28	MLB MLE	DET	50%	520	468	108	20	3	12	43	133	4	4	2	228	298	359	657	131	290	26	8	294	85	-9	+0	-3	+9	+11	0.8
2036	29	MLB MLE	DET	49%	520	469	106	20	3	11	42	134	4	4	3	226	295	353	647	127	289	26	8	291	83	-11	-0	-4	+9	+11	0.5
2037	30	MLB MLE	DET	48%	517	467	104	19	3	11	42	135	3	3	4	223	291	345	636	122	287	26	8	286	80	-13	-1	-5	+9	+11	0.2
2038	31	MLB MLE	DET	47%	489	444	97	18	2	10	39	130	3	2	15	219	286	335	621	116	283	27	8	280	75	-14	-6	-5	+9	+11	-0.6
2028	21	MLB CTX	DET	25%	62	57	12	2	0	1	5	16	0	1	0	218	287	331	617	112	284	26	8	278	78	-2	+0	-1	+1	+1	0.0
2029	22	MLB CTX	DET	38%	139	126	28	5	1	3	11	36	1	1	1	221	290	339	630	118	285	26	8	283	81	-3	-0	-2	+2	+3	0.0
2030	23	MLB CTX	DET	45%	199	179	40	7	1	4	16	51	2	2	1	224	293	347	640	123	286	26	8	288	84	-4	+0	-2	+4	+4	0.2
2031	24	MLB CTX	DET	48%	235	212	48	9	1	5	19	60	2	2	1	226	295	353	648	127	287	26	8	291	86	-4	+0	-2	+4	+5	0.4
2032	25	MLB CTX	DET	50%	256	231	54	10	2	6	21	64	2	3	1	227	297	357	654	130	287	25	8	293	88	-4	+0	-1	+5	+6	0.5
2033	26	MLB CTX	DET	50%	263	237	54	10	2	6	22	66	2	3	1	227	297	358	655	130	287	25	8	294	88	-4	+0	-1	+5	+6	0.6
2034	27	MLB CTX	DET	50%	260	235	54	10	2	6	21	66	2	2	1	226	296	355	651	129	286	25	8	292	87	-4	+0	-1	+5	+6	0.5
2035	28	MLB CTX	DET	50%	259	234	53	10	1	6	21	66	2	2	1	224	294	351	644	126	285	25	8	289	85	-5	+0	-2	+5	+6	0.4
2036	29	MLB CTX	DET	49%	252	227	50	9	1	5	21	65	2	2	1	222	291	344	636	122	284	26	8	286	83	-5	+0	-2	+4	+5	0.3
2037	30	MLB CTX	DET	48%	247	223	49	9	1	5	20	65	2	2	2	219	287	337	624	118	282	26	8	281	80	-6	-0	-2	+4	+5	0.1
2038	31	MLB CTX	DET	47%	231	210	44	8	1	4	18	61	1	1	7	215	283	327	610	112	279	26	8	275	75	-7	-3	-3	+4	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2403	2171	486	89	13	51	195	616	18	21	17	224	293	347	641	123	287	26	8	287	83	-46	-3	-20	+43	+52	2.7
/ 162G	—	A+C		—	650	587	132	24	4	14	53	167	5	6	5	225	295	351	646	126	289	26	8	287	83	-12	-1	-5	+12	+14	0.7
Career	—	MLE		—	5472	4941	1124	210	32	117	447	1403	39	47	37	227	297	354	651	126	292	26	8	291	83	-106	-5	-46	+95	+115	5.3
/ 162G	—	MLE		—	650	587	134	25	4	14	53	167	5	6	4	228	298	356	654	128	293	26	8	291	83	-13	-1	-6	+12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#3Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#4Nick Hundleylast yr '19 career totals — 12 seasons, 3,373 PA	5.1	3,373	93	15	247	299	405	+60	-31	10.3	10.8
/162	664	18	3	+11.9	-6.0	2.0	pk7: 11
#5Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
#6Yuniesky Betancourtlast yr '13 career totals — 9 seasons, 4,278 PA	6.4	4,278	80	30	261	285	388	+41	-20	6.1	7.2
/162	664	12	5	+6.4	-3.1	0.9	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,561	55	22	228	293	355	+46	-14	6.3	5.7
/162	664	14	6	+11.9	-3.6	1.6	pk7: 5

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
Michael Oliveto (OGILVIE)	20	20→47	30→50	30→34	40	217/283/324	108	288	3	2	27%	8%	73	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Shed Long Jr. 2016 · A	20	44→50	42→50	44→50	43	216/269/322	106	282	10	6	27%	6%	66	-1.1	235/294/368	133	322	13	11	29%	7%	87	+0.4	238/300/387	148	320	15	11	29%	7%	91	+0.5
●Reid Brignac 2006 · A	20	43→53	44→55	42→50	38	215/260/331	116	297	12	5	32%	5%	65	-1.2	240/286/391	151	302	16	9	25%	6%	89	+0.5	242/288/399	157	297	17	10	24%	5%	90	+0.5
✕Randy Florentino 2021 · A	21	42	39→45	42→45	49	199/281/287	88	284	6	6	30%	10%	64	-1.3	180/242/262	82	268	8	5	34%	7%	43	-2.8	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Cooper Kinney 2024 · A	21	46→49	41→50	40	41	220/272/314	94	303	9	4	29%	6%	65	-1.2	224/272/354	130	310	13	4	30%	6%	75	-0.5	225/275/365	140	309	14	4	31%	6%	77	-0.3
●Carter Jensen 2023 · A	20	38→48	42→55	45→50	49	189/279/298	109	272	9	7	32%	11%	66	-1.1	205/296/340	135	284	14	9	30%	11%	82	-0.0	233/312/421	188	299	22	7	28%	10%	105	+1.6
✕John Drennen 2008 · A	21	46→56	43→45	42→45	43	225/285/336	112	290	11	6	26%	6%	76	-0.4	229/278/331	102	283	7	4	21%	5%	72	-0.7	250/301/374	124	298	8	1	18%	6%	88	+0.3
✕Ramon Mendoza 2021 · A	20	45→51	38→45	40→45	45	210/282/297	87	291	5	4	28%	7%	66	-1.1	196/268/274	78	282	4	5	29%	8%	56	-1.9	232/310/341	109	301	10	3	24%	9%	83	+0.1
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Dom Nuñez 2015 · A	20	40→46	44→50	41→45	44	201/250/315	114	241	12	9	22%	6%	58	-1.7	213/277/326	113	260	13	7	23%	8%	71	-0.8	181/265/328	147	236	18	5	31%	9%	68	-0.5
✕Angel Acosta 2024 · A	21	42	38→40	40→50	48	201/276/279	78	249	5	5	20%	7%	60	-1.6	211/268/276	65	259	4	9	19%	6%	55	-1.9	219/273/273	54	263	4	11	17%	6%	55	-0.7
✕Joe Mack 2024 · A	21	41→44	39→55	45	43	198/267/273	75	282	8	2	31%	8%	55	-1.9	218/280/363	145	290	18	5	30%	7%	81	-0.1	220/283/384	165	281	22	4	29%	7%	86	+0.2
✕Bryant Betancourt 2024 · A	20	44→47	39→45	43→45	49	209/278/291	82	258	6	3	21%	8%	63	-1.3	213/271/320	107	268	12	7	24%	7%	68	-1.0	214/270/334	120	259	15	8	23%	7%	68	-0.7
●Daniel Robertson 2014 · A	20	47→57	43→45	37→40	45	231/292/342	111	292	10	3	24%	7%	80	-0.1	252/320/366	114	316	9	3	22%	7%	96	+1.0	256/329/366	110	321	8	2	21%	8%	96	+0.9
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Deivy Grullón 2017 · A	21	44→45	42→55	38→30	37	215/257/318	103	300	10	2	31%	5%	61	-1.5	233/271/374	141	313	17	2	30%	5%	80	-0.2	236/277/397	161	310	22	0	31%	5%	85	+0.2
✕Cutter Dykstra 2009 · A	20	44→54	42→40	41→55	45	215/280/315	100	287	9	7	28%	8%	70	-0.9	213/274/291	78	300	6	14	29%	7%	61	-1.5	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Bryan Anderson 2007 · A	20	52→59	40→45	41→30	45	250/301/351	102	313	7	5	22%	6%	85	+0.2	257/303/348	91	329	7	3	23%	6%	84	+0.2	262/307/350	88	335	7	2	23%	6%	84	+0.1
✕Juan Fernandez 2019 · A	20	43→53	39→40	39→50	44	205/264/289	84	263	6	4	24%	6%	57	-1.8	211/270/305	94	274	8	5	25%	6%	63	-1.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Jorge Burgos 2024 · A	21	48→53	40→50	42→45	47	228/296/320	92	310	7	4	27%	8%	76	-0.4	199/263/328	129	269	14	4	30%	7%	67	-1.1	187/252/327	141	243	16	4	30%	7%	61	-0.9
✕Carlos Soto 2019 · A	20	40	40→45	43→30	46	198/266/283	86	263	8	3	27%	8%	57	-1.8	200/267/297	97	281	9	4	30%	7%	61	-1.5	168/258/285	117	236	11	0	32%	10%	54	-0.8

Career Stats + Projections

Career Comps

Career Path Comps