D'Andre Smith — OGILVIE

D'Andre SmithSS Binghamton Rumble Ponies

Age 25 R/R 5'9" / 180 lbs AA H -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION222 act + 29 ros · stats below = ROS only

showingROS

wRC+†75

AVG/OBP/SLG—

PA1

HR0

K%24

BB%3

BABIP286

ISO37

MLB%2%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

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

Tools · ContractCON 55 / POW 40

Toolsscout grade

CONTACT55

scouting grade only

POWER40

scouting grade only

EYE25

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Arb-1	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-2	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1.0M

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)
2022	21	A	St. Lucie Mets	—	49	43	11	3	1	2	3	13	2	1	1	256	333	512	845	256	310	27	6	362	131	+2	-0	—	—	+1	0.3
2023	22	A+	Brooklyn Cyclones	—	253	224	53	15	1	3	21	76	7	8	1	237	320	353	673	116	345	30	8	307	94	-2	+1	—	—	+5	0.5
2023	22	INTL	Glendale Desert Dogs	—	55	51	12	3	0	1	3	13	1	0	1	235	291	353	644	118	297	24	5	291	83	-1	-0	—	—	+1	-0.0
2024	23	A+	Brooklyn Cyclones	—	139	130	32	6	0	2	5	24	3	6	2	246	290	338	628	92	286	17	4	283	77	-4	+0	—	—	+3	-0.0
2024	23	A	St. Lucie Mets	—	18	17	3	1	0	0	0	4	1	0	0	176	222	235	458	59	231	22	0	213	30	-1	+0	—	—	+0	-0.1
2024	23	ROK	FCL Mets	—	18	17	4	1	0	0	1	3	0	3	0	235	278	294	572	59	286	17	6	261	63	-1	+1	—	—	+0	0.0
2025	24	AA	Binghamton Rumble Ponies	—	353	326	91	14	4	7	18	69	9	24	3	279	334	411	745	132	336	20	5	334	112	+5	+4	—	—	+8	1.7
2025	24	A+	Brooklyn Cyclones	—	53	43	13	4	0	1	9	7	0	7	0	302	423	465	888	163	333	13	17	391	151	+3	+1	—	—	+1	0.6
2025	24	INTL	Scottsdale Scorpions	—	34	27	5	3	0	0	4	8	3	6	0	185	353	296	649	111	263	24	12	313	98	-0	+1	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	A MLE	St. Lucie Mets	—	49	44	9	2	1	2	2	19	2	1	1	205	271	432	703	227	278	39	4	283	78	-1	-0	—	—	+1	-0.0
2023	22	A+ MLE	Brooklyn Cyclones	—	253	232	44	11	1	2	14	100	7	8	1	190	257	272	528	82	313	40	6	232	43	-17	+1	—	—	+5	-1.1
2024	23	A+ MLE	Brooklyn Cyclones	—	139	132	26	5	0	1	3	33	3	6	2	197	232	258	489	61	247	24	2	217	33	-11	+0	—	—	+3	-0.8
2024	23	A MLE	St. Lucie Mets	—	18	17	3	1	0	0	0	6	1	0	0	176	222	235	458	59	225	33	0	180	8	-2	+0	—	—	+0	-0.2
2024	23	ROK MLE	FCL Mets	—	18	17	3	1	0	0	1	4	0	3	0	176	222	235	458	59	233	22	6	185	11	-2	+1	—	—	+0	-0.1
2025	24	AA MLE	Binghamton Rumble Ponies	—	353	331	84	13	4	5	13	83	9	24	3	254	300	363	663	109	320	24	4	287	80	-8	+4	—	—	+8	0.3
2025	24	A+ MLE	Brooklyn Cyclones	—	53	46	12	3	0	1	6	9	0	7	0	261	346	391	737	130	291	17	11	320	103	+0	+1	—	—	+1	0.3
2022	21	A MLE	St. Lucie Mets	—	49	44	9	2	1	2	2	19	2	1	1	205	271	432	703	227	292	39	4	283	78	—	—	—	—	—	—
2022	21	A RAW	St. Lucie Mets	—	49	43	11	3	1	2	3	13	2	1	1	256	333	512	845	256	310	27	6	362	78	—	—	—	—	—	—
2023	22	A+ MLE	2 teams	—	308	283	53	13	1	3	17	122	8	8	2	187	253	272	525	85	316	40	6	232	43	—	—	—	—	—	—
2023	22	A+ RAW	2 teams	—	308	275	65	18	1	4	24	89	8	8	2	236	315	353	668	116	335	29	8	304	43	—	—	—	—	—	—
2024	23	A+ MLE	3 teams	—	175	166	31	6	0	1	4	43	4	9	2	187	224	241	465	54	244	25	2	210	28	—	—	—	—	—	—
2024	23	A+ RAW	3 teams	—	175	164	39	8	0	2	6	31	4	9	2	238	282	323	605	85	280	18	3	273	28	—	—	—	—	—	—
2025	24	AA MLE	3 teams	—	440	407	103	17	4	7	20	100	12	37	3	253	308	366	674	113	319	23	5	291	83	—	—	—	—	—	—
2025	24	AA RAW	3 teams	—	440	396	109	21	4	8	31	84	12	37	3	275	346	409	755	134	331	19	7	339	83	—	—	—	—	—	—
2022	21	A MLE	St. Lucie Mets	—	49	45	9	2	1	2	2	19	2	1	1	200	271	422	693	222	278	39	4	283	78	—	—	—	—	—	—
2023	22	A+ MLE	2 teams	—	308	280	53	13	1	3	17	122	8	8	2	189	253	275	528	86	313	40	6	232	43	—	—	—	—	—	—
2024	23	A+ MLE	3 teams	—	175	165	31	6	0	1	4	43	4	9	2	188	224	242	467	55	243	25	2	210	28	—	—	—	—	—	—
2025	24	AA MLE	3 teams	—	440	405	103	17	4	7	20	100	12	37	3	254	308	368	675	114	316	23	5	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A+ MLE	2 teams	—	308	280	53	13	1	3	17	122	8	8	2	189	253	275	528	86	313	40	6	232	43	—	—	—	—	—	—
2024	23	A+ MLE	3 teams	—	175	165	31	6	0	1	4	43	4	9	2	188	224	242	467	55	243	25	2	210	28	—	—	—	—	—	—
2025	24	AA MLE	3 teams	—	440	405	103	17	4	7	20	100	12	37	3	254	308	368	675	114	316	23	5	291	83	—	—	—	—	—	—
YTD	25	AA MLE	NYM	—	222	200	46	10	2	4	14	57	4	16	3	230	294	360	654	130	296	26	6	285	79	-6	+2	+0	+2	+5	0.4
▸ 2026 season
YTD	25	AA RAW	NYM	—	129	113	24	7	2	2	10	29	3	7	2	212	294	363	656	150	259	22	8	289	79	—	—	—	—	—	—
YTD	25	AAA RAW	NYM	—	93	81	27	5	0	4	10	18	1	9	1	333	413	543	956	210	390	19	11	417	79	—	—	—	—	—	—
ROS	25	AA MLE	NYM	2%	29	27	5	1	0	0	1	7	1	2	0	185	241	222	464	37	294	24	3	278	75	-1	+0	+0	+0	+1	0.0
▸ 2026 season — projected rest
ROS	25	MLB CTX	NYM	2%	1	1	0	0	0	0	0	0	0	0	0						286	0	0	260	75	-0	+0	+0	+0	+0	0.0
FULL	25	MLB A+C	NYM	—	1	1	0	0	0	0	0	0	0	0	0							0	0	260	79	-0	+0	+0	+0	+0	0.0
TOT	25	AA MLE	NYM	—	251	227	51	11	2	4	15	64	5	18	3	225	287	344	631	119	290	25	6	284	79	-6	+2	+0	+3	+5	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	NYM	39%	364	335	77	15	2	7	20	90	6	17	3	230	285	349	635	119	292	25	5	284	79	-9	+2	+0	+4	+8	0.5
2028	27	MLB MLE	NYM	53%	387	355	82	16	3	7	23	95	6	18	3	231	289	352	641	121	292	25	6	288	81	-9	+2	+0	+4	+8	0.6
2029	28	MLB MLE	NYM	60%	400	367	85	17	3	8	24	99	6	18	3	232	290	360	649	128	292	25	6	289	81	-9	+2	-1	+4	+9	0.6
2030	29	MLB MLE	NYM	62%	400	366	84	17	2	8	25	99	6	17	3	230	290	352	642	123	291	25	6	288	81	-9	+2	-1	+4	+9	0.5
2031	30	MLB MLE	NYM	63%	398	364	82	16	2	7	25	100	6	15	2	225	286	338	624	113	291	25	6	285	79	-10	+2	-2	+4	+9	0.3
2032	31	MLB MLE	NYM	63%	386	353	80	16	2	7	24	98	6	13	2	227	287	343	630	116	289	25	6	281	77	-11	+2	-3	+4	+8	0.1
2033	32	MLB MLE	NYM	64%	370	338	75	15	2	6	23	95	6	10	2	222	283	331	615	109	286	26	6	276	73	-12	+1	-4	+4	+8	-0.2
2027	26	MLB CTX	NYM	39%	141	130	30	6	1	3	8	35	2	7	1	231	286	362	647	131	285	25	6	267	79	-4	+1	+0	+2	+3	0.2
2028	27	MLB CTX	NYM	53%	203	186	42	8	1	4	12	50	3	10	2	226	284	344	628	118	285	25	6	270	81	-5	+1	+0	+2	+4	0.3
2029	28	MLB CTX	NYM	60%	240	219	51	10	2	5	15	59	4	11	2	233	294	365	659	132	284	25	6	272	81	-5	+1	-0	+3	+5	0.4
2030	29	MLB CTX	NYM	62%	247	226	51	10	2	5	15	61	4	10	2	226	286	354	640	128	284	25	6	271	81	-6	+1	-1	+3	+5	0.3
2031	30	MLB CTX	NYM	63%	250	228	52	10	2	5	16	63	4	9	1	228	290	355	646	127	283	25	6	269	79	-6	+1	-1	+3	+5	0.2
2032	31	MLB CTX	NYM	63%	245	224	49	10	1	4	15	62	4	8	1	219	280	326	606	107	281	25	6	265	77	-7	+1	-2	+3	+5	0.1
2033	32	MLB CTX	NYM	64%	236	215	46	9	1	4	15	61	4	6	1	214	278	321	599	107	278	26	6	260	73	-8	+1	-2	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1563	1429	321	63	10	30	96	391	25	61	10	225	285	346	631	121	287	25	6	268	74	-40	+8	-7	+17	+34	1.3
/ 162G	—	A+C		—	650	594	133	26	4	12	40	163	10	25	4	224	284	342	625	118	287	25	6	268	74	-17	+3	-3	+7	+14	0.5
Career	—	MLE		—	3706	3405	766	151	22	63	208	967	69	165	26	225	283	338	621	113	294	26	6	277	74	-69	+15	-10	+29	+59	2.4
/ 162G	—	MLE		—	650	597	134	26	4	11	36	170	12	29	5	224	282	337	618	112	294	26	6	277	74	-16	+4	-2	+7	+14	0.6

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
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Ronny 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
#4Yolmer 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
#5Chris 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
#6Adam 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 4 projected seasons	2.4	1,568	29	61	229	285	348	+17	+12	2.7	2.7
/162	664	12	26	+7.1	+5.1	1.1	pk7: 3

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
D'Andre Smith (OGILVIE)	25	55	40	60	25	226/280/336	110	294	5	17	25%	5%	75	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tito Polo 2019 · AA	24	48→54	43→45	58→60	40	233/287/345	112	306	10	29	27%	5%	78	-0.3	222/270/323	101	291	8	20	25%	5%	67	-1.1	213/241/297	84	275	3	25	23%	3%	46	-0.5
✕Kristopher Negrón 2011 · AAA	25	48→50	41→45	56→55	44	232/295/333	100	294	8	22	23%	6%	79	-0.2	202/254/296	94	271	8	18	27%	5%	55	-1.9	226/289/352	126	323	14	14	32%	7%	78	-0.2
✕Leo German 2017 · AAA	24	49→56	42→45	61→55	40	239/285/351	112	305	9	28	24%	5%	79	-0.2	264/300/346	82	345	6	22	24%	4%	83	+0.1	279/314/353	75	359	6	19	23%	4%	86	+0.2
✕Wilmer Difo 2016 · AA	24	52→55	43→45	60→55	40	252/284/366	114	304	9	25	20%	4%	82	-0.0	242/290/341	99	293	7	20	19%	6%	78	-0.3	238/302/342	104	297	8	11	22%	8%	78	-0.2
✕Cade Gotta 2017 · AA	25	46→52	42→45	56→55	42	225/269/333	108	283	8	21	23%	5%	69	-0.9	238/291/337	99	302	6	29	22%	7%	78	-0.3	244/303/339	95	309	5	36	21%	8%	81	-0.0
✕Max Schuemann 2022 · AAA	25	46→48	40→45	59→60	44	218/292/312	94	289	7	32	26%	7%	74	-0.5	225/316/336	111	307	10	25	28%	9%	88	+0.5	221/319/328	107	303	11	22	28%	10%	86	+0.2
✕Oscar Castaneda 2008 · AAA	25	50	42→40	55	43	242/302/345	103	305	9	20	23%	5%	84	+0.2	222/286/303	81	280	5	11	21%	7%	69	-0.9	202/270/243	41	257	0	4	20%	7%	46	-0.6
✕Levi Michael 2016 · AA	25	49→59	40→45	57→55	48	233/301/331	98	299	6	21	23%	8%	81	-0.1	225/289/319	94	310	7	12	28%	6%	74	-0.6	228/294/337	109	315	10	11	29%	5%	77	-0.2
✕Hunter Jones 2017 · AA	25	45→55	39→40	55	41	217/273/303	85	291	6	22	26%	6%	63	-1.3	219/275/311	92	284	7	14	24%	6%	66	-1.1	212/271/303	90	274	7	12	24%	6%	60	-0.9
✕Mauricio Dubón 2019 · AAA	25	51→59	41→50	53→55	43	246/282/349	103	292	8	25	19%	5%	77	-0.3	252/293/384	132	290	15	13	18%	5%	90	+0.6	256/302/388	132	291	16	11	18%	5%	91	+0.5
✕Brian Bixler 2008 · AAA	25	53→56	40→45	56→55	41	246/308/344	97	344	6	19	28%	6%	86	+0.3	237/292/335	98	348	6	20	32%	6%	78	-0.3	242/297/340	98	351	5	19	30%	6%	77	-0.2
✕Abiatal Avelino 2019 · AAA	24	50→52	43→45	55	42	243/280/351	108	297	10	19	22%	5%	76	-0.4	234/270/345	111	289	10	18	22%	5%	72	-0.7	226/268/331	106	274	9	18	21%	5%	65	-0.8
✕Jecksson Flores 2019 · AA	25	51→57	39→40	52→55	41	243/281/334	92	296	6	18	20%	4%	73	-0.6	222/276/308	86	273	7	15	20%	6%	66	-1.1	206/270/281	74	253	6	10	20%	6%	56	-1.1
✕Wynton Bernard 2016 · AA	25	56→59	39→45	56→60	45	266/307/358	93	322	5	27	19%	5%	88	+0.4	238/280/328	90	298	6	27	21%	5%	72	-0.7	250/298/375	125	305	12	37	21%	6%	86	+0.3
✕Corey Toups 2018 · AAA	25	44→50	43→45	55→50	40	215/274/330	115	303	9	16	31%	6%	71	-0.8	209/272/313	104	324	9	15	36%	7%	66	-1.1	186/255/266	79	307	8	19	39%	7%	46	-1.2
✕Tyson Auer 2011 · AAA	25	55→61	38→40	58→60	42	258/303/341	83	333	5	30	23%	5%	82	+0.0	238/273/316	78	316	4	23	24%	4%	65	-1.2	248/271/310	62	331	1	27	25%	3%	59	-1.1
✕Chad Hinshaw 2016 · AA	25	49→43	42→45	57→55	43	232/308/345	113	325	9	28	29%	7%	87	+0.4	202/270/301	99	299	8	19	33%	6%	63	-1.4	170/238/261	91	256	8	18	35%	6%	40	-1.4
✕Michael Russell 2018 · AA	25	46→50	41→45	53→55	43	223/278/332	109	278	8	19	22%	6%	72	-0.7	218/263/314	96	287	7	14	25%	5%	62	-1.4	214/250/290	77	284	4	13	25%	4%	49	-1.3
✕Mike McBryde 2010 · AAA	25	53→57	39→40	51→55	40	251/291/340	88	317	6	21	22%	4%	78	-0.3	231/273/329	98	305	8	15	26%	4%	70	-0.9	201/246/266	64	297	4	16	32%	3%	42	-0.5
✕Darren Ford 2011 · AA	25	46→53	40→45	59→65	43	220/276/319	99	300	7	31	28%	7%	68	-1.0	225/273/315	90	305	7	37	27%	6%	66	-1.1	222/271/297	74	301	6	49	27%	6%	58	-0.8

Career Stats + Projections

Career Comps

Career Path Comps