Michell Ojeda — OGILVIE

Michell Ojeda2B FCL Pirates

Age 19 L/R 6'0" / 158 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION23 act + 9 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP273

ISO90

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 37 / POW 39

Toolsscout grade

CONTACT37

scouting grade only

POWER39

scouting grade only

EYE59

scouting grade only

SPEED57

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
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	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$1M	—	—	—
2036	Arb-2	$1M	—	—	—
2037	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$0.2M	+$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)
2024	17	ROK	DSL Pirates Black	—	113	82	21	5	1	0	24	17	4	8	0	256	445	341	787	85	313	15	21	365	133	+4	+2	—	—	+2	0.9
2025	18	ROK	FCL Pirates	—	122	108	20	2	1	3	12	34	2	4	3	185	279	306	584	120	239	28	10	270	69	-5	-0	—	—	+3	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Pirates Black	—	113	91	19	4	1	0	15	25	4	8	0	209	345	275	620	66	256	22	13	277	74	-4	+2	—	—	+2	0.1
2025	18	ROK MLE	FCL Pirates	—	122	113	14	1	1	2	7	49	2	4	3	124	189	204	392	80	185	40	6	174	4	-14	-0	—	—	+3	-1.2
2024	17	ROK MLE	DSL Pirates Black	—	113	91	19	4	1	0	15	25	4	8	0	209	345	275	620	66	279	22	13	277	74	—	—	—	—	—	—
2024	17	ROK RAW	DSL Pirates Black	—	113	82	21	5	1	0	24	17	4	8	0	256	445	341	787	85	313	15	21	365	74	—	—	—	—	—	—
2025	18	ROK MLE	FCL Pirates	—	122	113	14	1	1	2	7	49	2	4	3	124	189	204	392	80	194	40	6	174	4	—	—	—	—	—	—
2025	18	ROK RAW	FCL Pirates	—	122	108	20	2	1	3	12	34	2	4	3	185	279	306	584	120	239	28	10	270	4	—	—	—	—	—	—
2024	17	ROK MLE	DSL Pirates Black	—	113	93	19	4	1	0	15	25	4	8	0	204	345	269	614	65	256	22	13	277	74	—	—	—	—	—	—
2025	18	ROK MLE	FCL Pirates	—	122	112	14	1	1	2	7	49	2	4	3	125	189	205	394	80	185	40	6	174	4	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Pirates Black	—	113	93	19	4	1	0	15	25	4	8	0	204	345	269	614	65	256	22	13	277	74	—	—	—	—	—	—
2025	18	ROK MLE	FCL Pirates	—	122	112	14	1	1	2	7	49	2	4	3	125	189	205	394	80	185	40	6	174	4	—	—	—	—	—	—
YTD	19	ROK MLE	PIT	—	23	21	4	0	1	1	1	9	1	2	1	190	261	429	689	238	273	39	4	247	53	-1	+0	+0	+0	+0	-0.1
▸ 2026 season
YTD	19	ROK RAW	PIT	—	23	20	5	0	1	1	2	6	1	2	1	250	348	500	848	250	308	26	9	371	53	—	—	—	—	—	—
ROS	19	ROK MLE	PIT	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		275	33	11	255	59	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	PIT	—	32	29	5	0	1	1	2	12	1	2	1	172	250	345	595	172	250	38	6	249	55	-2	+0	+0	+0	+1	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	PIT	34%	192	172	35	6	1	3	15	55	3	4	1	203	279	302	581	99	278	29	8	267	67	-8	+0	+0	+1	+4	-0.2
2028	21	MLB MLE	PIT	48%	326	291	61	10	2	6	27	91	5	7	2	210	288	320	608	110	280	28	8	274	72	-11	+1	+0	+1	+7	-0.2
2029	22	MLB MLE	PIT	54%	424	380	81	14	3	8	35	117	6	9	2	213	290	329	619	116	282	28	8	280	75	-12	+1	+0	+2	+9	-0.1
2030	23	MLB MLE	PIT	57%	490	439	95	16	4	10	41	134	7	11	3	216	294	339	633	123	283	27	8	283	77	-13	+1	+0	+2	+11	0.0
2031	24	MLB MLE	PIT	57%	532	476	104	18	4	11	44	145	7	12	3	218	294	342	637	124	284	27	8	284	78	-14	+1	+0	+2	+12	0.1
2032	25	MLB MLE	PIT	57%	557	498	108	19	4	11	46	151	8	13	3	217	293	337	631	120	284	27	8	285	79	-14	+1	+0	+2	+12	0.1
2033	26	MLB MLE	PIT	56%	571	510	110	19	4	11	48	155	8	13	3	216	293	333	627	118	283	27	8	285	79	-14	+1	+0	+2	+12	0.2
2034	27	MLB MLE	PIT	55%	575	513	111	19	4	12	49	156	8	13	3	216	295	339	634	123	283	27	9	285	79	-14	+1	+0	+2	+12	0.2
2035	28	MLB MLE	PIT	55%	573	511	109	19	4	11	49	157	8	13	3	213	292	331	623	117	283	27	9	284	78	-15	+1	-1	+2	+12	0.0
2036	29	MLB MLE	PIT	53%	564	502	107	18	4	11	49	155	8	12	3	213	293	331	624	118	282	27	9	282	77	-15	+1	-1	+2	+12	-0.1
2037	30	MLB MLE	PIT	57%	555	494	104	18	4	10	48	154	8	12	3	211	291	324	615	113	280	28	9	279	75	-16	+1	-2	+2	+12	-0.3
2027	20	MLB CTX	PIT	34%	66	60	13	2	1	1	5	19	1	1	0	217	288	333	621	117	276	29	8	254	67	-3	+0	+0	+0	+1	-0.1
2028	21	MLB CTX	PIT	48%	158	142	30	5	1	3	13	44	2	3	1	211	287	324	611	113	278	28	8	261	72	-5	+0	+0	+1	+3	-0.1
2029	22	MLB CTX	PIT	54%	230	206	43	7	2	4	19	63	3	5	1	209	285	320	605	112	280	27	8	266	75	-7	+1	+0	+1	+5	-0.0
2030	23	MLB CTX	PIT	57%	277	248	52	9	2	5	23	76	4	6	1	210	287	323	610	113	281	27	8	268	77	-7	+1	+0	+1	+6	0.0
2031	24	MLB CTX	PIT	57%	301	269	57	10	2	5	25	82	4	7	2	212	289	320	608	108	282	27	8	270	78	-8	+1	+0	+1	+7	0.0
2032	25	MLB CTX	PIT	57%	315	282	60	10	2	6	26	86	4	7	2	213	288	326	615	113	282	27	8	270	79	-8	+1	+0	+1	+7	0.1
2033	26	MLB CTX	PIT	56%	323	288	62	11	2	6	27	88	5	7	2	215	294	330	624	115	281	27	8	270	79	-8	+1	+0	+1	+7	0.1
2034	27	MLB CTX	PIT	55%	319	284	60	10	2	6	27	87	5	7	2	211	291	324	615	113	281	27	8	271	79	-8	+1	+0	+1	+7	0.1
2035	28	MLB CTX	PIT	55%	315	281	59	10	2	6	27	86	4	7	2	210	288	324	612	114	281	27	9	270	78	-8	+1	-0	+1	+7	0.0
2036	29	MLB CTX	PIT	53%	302	269	56	10	2	5	26	83	4	7	2	208	288	316	604	108	280	27	9	268	77	-8	+1	-1	+1	+7	-0.1
2037	30	MLB CTX	PIT	57%	317	283	58	10	2	5	27	88	4	7	2	205	283	307	591	102	278	28	9	265	75	-9	+1	-1	+1	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2923	2612	550	94	20	52	245	802	40	64	17	211	288	322	610	111	281	27	8	268	75	-80	+6	-2	+10	+63	-0.2
/ 162G	—	A+C		—	650	581	122	21	4	12	54	178	9	14	4	210	287	322	609	112	278	27	8	268	75	-18	+1	-1	+2	+14	-0.1
Career	—	MLE		—	5603	4998	1059	181	40	106	474	1547	82	131	32	212	291	328	619	116	282	28	8	279	75	-148	+12	-4	+19	+116	-0.4
/ 162G	—	MLE		—	650	580	123	21	5	12	55	179	10	15	4	212	291	328	619	116	283	28	8	279	75	-18	+1	-1	+2	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Chris 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
#3Adam 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.6	3,024	58	67	214	289	331	+11	+7	1.7	1.8
/162	664	13	15	+2.4	+1.5	0.4	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
#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
Michell Ojeda (OGILVIE)	19	32→37	34→39	52→57	59	195/268/284	89	275	1	2	30%	8%	59	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Luis Valenzuela 2013 · A	19	42	38→45	52→45	44	198/258/283	84	268	4	6	26%	7%	53	-2.1	213/253/294	81	276	5	8	23%	5%	53	-2.1	262/284/362	100	318	5	7	19%	2%	77	-0.1
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Luis Barrera 2015 · A	19	35→45	40→45	49→50	44	177/241/269	92	232	7	7	27%	7%	45	-2.7	205/249/284	79	288	4	8	29%	5%	50	-2.3	247/292/355	108	317	4	17	23%	5%	79	-0.1
✕Vicmal De La Cruz 2013 · A	19	42	39→40	49→50	43	201/264/291	89	282	5	8	29%	7%	57	-1.8	183/238/255	72	271	4	6	32%	6%	40	-3.1	149/204/202	52	220	3	3	32%	5%	13	-1.4
✕Angel Ortiz 2022 · A	19	42	41→50	46→45	44	206/261/295	89	268	9	9	26%	7%	57	-1.8	207/258/303	96	280	7	7	27%	6%	58	-1.7	218/275/359	140	283	14	8	27%	7%	76	-0.3
✕Luis Liberato 2015 · A	19	37→47	37→50	52→50	43	181/245/254	73	265	4	14	32%	7%	42	-2.9	199/255/296	97	301	6	9	33%	7%	55	-2.0	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Omar Alfonzo 2023 · A	19	36→40	37→45	48→40	48	173/263/240	67	258	5	3	32%	10%	47	-2.5	205/289/309	104	317	11	4	35%	10%	72	-0.7	200/285/310	110	312	13	2	37%	10%	69	-0.6
✕Eliezer Álvarez 2014 · A	19	37→47	38→45	50→55	44	183/245/265	82	243	5	12	26%	7%	45	-2.7	233/282/341	108	299	5	13	23%	6%	75	-0.5	254/307/365	110	342	6	19	26%	6%	89	+0.3
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
✕Diomedes Del Rio 2017 · A	19	38	36→55	53→50	41	181/253/249	68	278	3	8	34%	7%	45	-2.7	199/265/293	94	283	4	9	29%	7%	58	-1.7	197/264/318	122	274	4	11	28%	7%	62	-0.4
✕Isan Díaz 2015 · A	19	34→41	39→55	47→45	39	169/233/258	89	267	6	8	37%	7%	39	-3.1	207/271/343	136	302	13	8	34%	8%	73	-0.6	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5
✕Michael De La Cruz 2015 · A	19	43	35→40	46→50	50	199/283/256	57	281	2	10	28%	10%	57	-1.8	188/254/253	65	290	3	9	33%	8%	45	-2.7	169/235/227	58	265	2	10	34%	7%	30	-1.3
✕Yohairo Cuevas 2023 · A	19	41→38	37→40	49→50	44	190/267/265	75	303	4	9	36%	9%	53	-2.1	194/280/281	87	310	5	14	35%	10%	63	-1.4	189/288/270	81	300	4	18	34%	11%	62	-0.8
✕Sandy Acevedo 2012 · A	19	40	37→45	51→50	38	189/252/264	74	291	4	12	34%	6%	47	-2.5	195/266/310	115	284	10	10	33%	7%	63	-1.3	173/254/316	143	241	13	10	32%	8%	58	-0.5
✕Darrien Miller 2021 · A	20	42→41	36→45	47→45	43	198/272/267	70	271	3	8	27%	6%	56	-1.9	199/300/314	115	273	13	6	30%	9%	79	-0.2	175/316/278	103	239	9	4	27%	12%	76	-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

Career Stats + Projections

Career Comps

Career Path Comps