Mitch Voit — OGILVIE

Mitch Voit2B Brooklyn Cyclones

Age 21 R/R 6'0" / 201 lbs A+ H -5% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION483 act + 10 ros · stats below = ROS only

showingROS

wRC+†87

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%20

BB%10

BABIP276

ISO128

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$29M ctrl surplus

Tools · ContractCON 49 / POW 50

Toolsscout grade

CONTACT49

scouting grade only

POWER50

scouting grade only

EYE49

scouting grade only

SPEED60

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2029	Pre-Arb	$0.8M	+1.0	$6M	+$6M
2030	Pre-Arb	$0.9M	+1.1	$6M	+$6M
2031	Arb-1	$4M	+1.1	$6M	+$4M
2032	Arb-2	$7M	+1.1	$6M	+$2M
2033	Arb-3	$9M	+1.0	$5M	+$0.4M
Totals		$22M		$32M	+$20M

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)
2025	20	A	St. Lucie Mets	—	99	85	20	2	0	1	13	24	1	20	1	235	343	294	638	59	317	24	13	301	90	-1	+4	—	—	+2	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	20	A MLE	St. Lucie Mets	—	99	88	18	2	0	1	10	32	1	20	1	205	293	261	554	57	305	32	10	253	57	-5	+4	—	—	+2	0.1
2025	20	A MLE	St. Lucie Mets	—	99	88	18	2	0	1	10	32	1	20	1	205	293	261	554	57	309	32	10	253	57	—	—	—	—	—	—
2025	20	A RAW	St. Lucie Mets	—	99	85	20	2	0	1	13	24	1	20	1	235	343	294	638	59	317	24	13	301	57	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	99	88	18	2	0	1	10	32	1	20	1	205	293	261	554	57	305	32	10	253	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	20	A MLE	St. Lucie Mets	—	99	88	18	2	0	1	10	32	1	20	1	205	293	261	554	57	305	32	10	253	57	—	—	—	—	—	—
YTD	21	A+ MLE	NYM	—	483	429	98	20	1	10	34	123	16	45	10	228	309	350	659	121	293	25	7	288	81	-11	+5	+0	+2	+10	0.6
▸ 2026 season
YTD	21	A+ RAW	NYM	—	347	293	71	12	0	11	37	70	13	36	8	242	353	396	749	154	278	20	11	337	81	—	—	—	—	—	—
YTD	21	AA RAW	NYM	—	136	118	41	12	1	2	14	24	3	9	2	347	426	517	943	169	424	18	10	417	81	—	—	—	—	—	—
ROS	21	A+ MLE	NYM	0%	10	9	1	0	0	0	1	2	0	1	0	111	200	111	311		284	20	10	296	87	-0	+0	-0	+0	+0	0.0
TOT	21	A+ MLE	NYM	—	493	438	99	20	1	10	35	125	16	46	10	226	307	345	651	119	290	25	7	288	81	-11	+5	-0	+2	+11	0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	NYM	43%	522	467	108	21	2	13	39	124	11	26	6	231	306	368	674	137	282	24	7	299	89	-7	+3	-1	+2	+11	0.8
2028	23	MLB MLE	NYM	61%	560	501	118	23	2	15	43	131	11	28	6	236	310	379	689	144	284	23	8	307	94	-4	+3	-1	+2	+12	1.2
2029	24	MLB MLE	NYM	66%	565	505	120	23	2	16	44	130	11	29	6	238	312	386	699	149	285	23	8	312	97	-2	+3	-1	+2	+12	1.5
2030	25	MLB MLE	NYM	69%	564	504	121	23	2	17	44	129	11	28	6	240	315	395	710	155	285	23	8	314	99	-1	+3	-1	+2	+12	1.6
2031	26	MLB MLE	NYM	70%	559	499	120	23	2	17	44	128	11	28	6	240	316	397	713	156	285	23	8	315	100	-0	+3	-1	+2	+12	1.6
2032	27	MLB MLE	NYM	69%	552	492	117	22	2	16	44	127	11	28	6	238	314	388	703	150	285	23	8	315	100	-0	+3	-1	+2	+12	1.6
2033	28	MLB MLE	NYM	68%	544	484	115	22	2	16	44	126	11	26	6	238	315	390	706	153	285	23	8	314	99	-1	+3	-2	+2	+12	1.4
2034	29	MLB MLE	NYM	67%	535	475	112	21	2	15	44	125	11	24	5	236	315	383	698	147	284	23	8	312	98	-2	+3	-3	+2	+12	1.2
2035	30	MLB MLE	NYM	66%	525	467	109	21	1	15	43	124	10	21	5	233	312	379	691	146	282	24	8	310	96	-3	+2	-3	+2	+11	0.9
2036	31	MLB MLE	NYM	65%	515	458	105	20	1	14	42	123	10	18	4	229	308	369	677	140	280	24	8	305	93	-4	+2	-4	+2	+11	0.7
2037	32	MLB MLE	NYM	65%	441	393	88	16	1	12	36	107	9	13	3	224	304	361	665	137	277	24	8	300	89	-6	+1	-5	+2	+10	0.2
2038	33	MLB MLE	NYM	65%	412	368	81	15	1	10	33	102	8	9	2	220	298	348	646	128	272	25	8	293	84	-8	+1	-5	+1	+9	-0.2
2027	22	MLB CTX	NYM	43%	226	202	45	9	1	5	17	54	5	11	2	223	299	351	651	129	275	24	8	278	89	-3	+1	-1	+1	+5	0.4
2028	23	MLB CTX	NYM	61%	341	305	69	13	1	9	26	80	7	17	4	226	302	364	666	138	276	23	8	287	94	-3	+2	-1	+1	+7	0.7
2029	24	MLB CTX	NYM	66%	374	334	78	15	1	11	29	86	8	19	4	234	310	383	693	150	277	23	8	292	97	-1	+2	-1	+1	+8	1.0
2030	25	MLB CTX	NYM	69%	387	346	80	15	1	11	30	89	8	20	4	231	307	376	683	145	278	23	8	295	99	-0	+2	-1	+1	+8	1.1
2031	26	MLB CTX	NYM	70%	390	348	81	15	1	12	31	89	8	20	4	233	310	385	695	152	278	23	8	295	100	-0	+2	-1	+1	+8	1.1
2032	27	MLB CTX	NYM	69%	381	339	79	15	1	11	31	87	8	19	4	233	312	381	693	147	277	23	8	296	100	-0	+2	-1	+1	+8	1.1
2033	28	MLB CTX	NYM	68%	373	333	76	14	1	11	30	86	7	18	4	228	305	375	681	147	277	23	8	295	99	-0	+2	-1	+1	+8	1.0
2034	29	MLB CTX	NYM	67%	357	318	73	14	1	10	29	83	7	16	3	230	308	374	682	145	276	23	8	293	98	-1	+2	-2	+1	+8	0.8
2035	30	MLB CTX	NYM	66%	345	307	70	13	1	10	28	81	7	14	3	228	307	375	682	147	275	23	8	290	96	-2	+2	-2	+1	+7	0.6
2036	31	MLB CTX	NYM	65%	335	298	66	12	1	9	27	80	7	12	3	221	301	359	660	138	272	24	8	286	93	-3	+1	-3	+1	+7	0.4
2037	32	MLB CTX	NYM	65%	286	255	57	10	1	8	23	69	6	8	2	224	303	365	668	141	269	24	8	281	89	-4	+1	-3	+1	+6	0.1
2038	33	MLB CTX	NYM	65%	266	237	52	9	1	7	22	66	5	6	1	219	299	354	654	135	265	25	8	274	84	-5	+1	-3	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4061	3622	826	154	12	114	323	950	83	180	38	228	306	372	677	144	276	23	8	289	94	-23	+21	-20	+15	+88	8.2
/ 162G	—	A+C		—	650	580	132	25	2	18	52	152	13	29	6	228	305	371	676	143	276	23	8	289	94	-4	+3	-3	+2	+14	1.3
Career	—	MLE		—	6403	5710	1333	252	20	177	511	1510	126	299	62	233	310	378	688	144	285	24	8	308	94	-37	+31	-31	+23	+137	12.5
/ 162G	—	MLE		—	650	580	136	26	2	18	52	153	13	30	6	234	312	379	691	145	286	24	8	308	94	-4	+3	-3	+2	+14	1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1B.J. Uptonlast yr '16 career totals — 12 seasons, 5,858 PA	8.8	5,858	164	300	243	321	402	+14	+17	24.5	24.5
/162	664	19	34	+1.6	+2.0	2.8	pk7: 25
#2Chris Younglast yr '18 career totals — 13 seasons, 5,316 PA	8.0	5,316	191	142	235	314	428	-0	+3	21.3	20.7
/162	664	24	18	-0.0	+0.4	2.7	pk7: 20
#3Corey Pattersonlast yr '11 career totals — 10 seasons, 4,422 PA	6.7	4,422	116	215	254	292	403	-2	+56	15.8	16.6
/162	664	17	32	-0.3	+8.4	2.4	pk7: 17
#4Jonathan Villarlast yr '22 career totals — 10 seasons, 3,934 PA	5.9	3,934	101	239	255	322	397	+24	-40	12.8	13.9
/162	664	17	40	+4.0	-6.8	2.2	pk7: 15
#5Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.1	4,063	114	180	235	308	381	+15	+0	12.3	10.8
/162	664	19	29	+2.4	+0.0	2.0	pk7: 9
#6Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8

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
Mitch Voit (OGILVIE)	21	30→49	40→50	60	49	225/301/349	124	284	4	12	24%	7%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jared Serna 2023 · A	21	41→48	43→45	54→50	49	203/292/313	110	263	10	21	26%	9%	75	-0.5	220/278/337	117	273	11	15	23%	6%	74	-0.6	216/272/322	106	264	10	16	22%	6%	65	-1.1
✕Ceddanne Rafaela 2022 · A	21	42→52	46→55	59→55	39	213/256/347	134	267	12	15	26%	4%	68	-1.0	239/275/393	154	305	16	22	27%	4%	85	+0.2	253/291/409	156	303	17	19	22%	4%	93	+0.8
●Matt McLain 2022 · A	22	45→55	44→55	53→55	48	220/298/335	115	296	11	20	28%	9%	81	-0.1	235/317/411	176	321	19	22	30%	9%	106	+1.8	231/315/396	166	310	19	23	30%	9%	99	+1.1
✕Jake Marisnick 2012 · A	21	49→54	45→60	56→55	41	239/293/364	125	307	11	21	25%	5%	86	+0.3	229/280/349	120	292	10	20	25%	5%	77	-0.3	231/295/439	208	305	27	18	33%	6%	102	+0.7
✕Johan Rojas 2022 · A	21	45→55	43→45	55→65	42	220/273/337	117	280	10	22	25%	6%	72	-0.7	233/277/339	106	293	8	37	23%	5%	73	-0.6	254/296/351	97	318	7	41	21%	5%	80	-0.1
✕Masyn Winn 2023 · AA	21	46→54	43→50	61→55	45	223/282/346	122	298	9	28	27%	7%	77	-0.3	240/293/371	131	287	13	16	20%	7%	87	+0.4	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Jason Taylor 2009 · A	21	42→39	46→45	53→55	51	210/295/335	126	263	13	20	25%	10%	80	-0.1	211/270/323	112	266	10	17	24%	7%	68	-1.0	202/249/302	100	249	8	18	21%	5%	53	-0.7
✕Efrain Contreras 2008 · A	21	48	45	53→55	45	236/301/354	118	277	12	16	20%	6%	87	+0.4	212/271/305	93	277	8	10	25%	5%	63	-1.3	184/239/256	71	258	6	6	29%	5%	38	-1.1
✕Agustín Ramírez 2023 · A	21	43→46	45→55	51→55	44	214/275/343	129	286	12	11	29%	7%	74	-0.5	230/293/385	155	277	18	13	23%	8%	91	+0.6	230/293/400	170	266	20	16	22%	7%	92	+0.7
●Sean Rodríguez 2006 · A	21	43→49	45→60	49→50	52	213/296/343	130	256	12	15	22%	10%	82	+0.0	230/299/393	163	295	19	11	27%	7%	95	+1.0	234/307/425	191	291	23	12	27%	7%	102	+1.1
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Cody Freeman 2022 · A	21	43→53	41→50	53→50	48	209/283/307	98	259	8	11	22%	8%	70	-0.9	206/261/321	115	251	13	9	23%	6%	63	-1.3	248/292/385	137	277	15	10	16%	5%	89	+0.4
✕Addison Russell 2014 · A	20	47→53	49→55	58→50	45	233/304/395	162	313	15	16	29%	8%	97	+1.1	240/303/397	157	305	17	9	26%	7%	97	+1.1	239/310/406	168	295	19	5	25%	8%	97	+0.9
✕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
●Jahmai Jones 2019 · AA	21	46→50	43→50	54→50	45	222/284/337	115	285	10	16	25%	7%	76	-0.4	201/261/296	95	269	8	12	27%	7%	57	-1.8	248/345/422	173	324	16	18	26%	11%	114	+1.3
●Ronny Simon 2022 · A	22	40→50	49→50	53→60	43	206/265/356	150	272	16	14	30%	7%	74	-0.6	220/270/357	137	283	15	22	27%	6%	75	-0.5	266/329/370	104	332	7	30	21%	8%	98	+0.9
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Christian Villanueva 2012 · A	21	44→46	43→55	53→50	40	217/263/333	116	270	11	16	24%	5%	67	-1.1	216/266/341	125	279	12	9	27%	5%	70	-0.8	223/280/397	174	256	23	3	23%	6%	88	+0.3
✕José Rodríguez 2022 · A	21	48→52	47→50	53→55	39	244/272/377	133	290	14	18	22%	4%	80	-0.1	236/270/360	124	285	13	27	22%	4%	76	-0.4	230/266/352	122	275	13	33	22%	4%	69	-0.6
●Desmond Jennings 2008 · A	21	52→59	42→50	57→60	47	250/310/361	111	295	9	29	18%	6%	91	+0.7	255/317/373	118	302	8	32	17%	7%	96	+1.0	243/323/397	154	290	15	28	21%	9%	102	+1.5

Career Stats + Projections

Career Comps

Career Path Comps