Mitch Voit

2B Brooklyn Cyclones

Age 22 R/R 6'0" / 201 lbs A+ H -5% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP40OGV rank#278ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	ANYM	99	.235/.343/.294	1	20	56	—	.216/.303/.273
2026	21	AA/A+NYM	483	.273/.374/.431	13	45	83	—	.232/.311/.367
2027PROJMLE	22	MLBNYM	1	.220/.292/.349	0	0	86	0.0
2028PROJ43% MLB	23	MLBNYM	184	.225/.296/.362	5	7	91	0.3
2029PROJ58% MLB	24	MLBNYM	271	.227/.300/.371	7	10	94	0.6

Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$3M2032Arb-2$6M2033Arb-3$7M

Skills · percentileMiLB Statcast 2026 AA

wRC+96

wOBA93

Speed90

Whiff%87

K%85

Z-Con%76

Career WAR0.0 WAR median (P10 -0.2 / P90 13, comp-based) · star 3% · didn't stick 74%

CompsMasyn Winn (age 22) · Felix Valerio (age 22) · Matt McLain (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†86

AVG/OBP/SLG.220 / .292 / .349

PA1

HR0

K%22

BB%7

BABIP265

ISO138

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$15M ctrl surplus

Contract

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
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2031	Arb-1	$3M	+0.9	$3M	+$0.4M
2032	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2033	Arb-3	$7M	+0.7	$2M	+$0.0M (cut)
Totals		$6M		$13M	+$4M

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 = full-season projection (no games played yet). 2028+ 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	56	—	—	—	—	—	—
2026	21	AA	Binghamton Rumble Ponies	—	136	118	41	12	1	2	14	24	3	9	2	347	426	517	943	169	424	18	10	417	132	—	—	—	—	—	—
2026	21	A+	Brooklyn Cyclones	—	347	293	71	12	0	11	37	70	13	36	8	242	353	396	749	154	278	20	11	337	64	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	20	A MLE	St. Lucie Mets	—	99	88	19	2	0	1	10	31	1	20	1	216	303	273	576	57	304	31	10	251	56	—	—	—	—	—	—
2026	21	AA MLE	Binghamton Rumble Ponies	—	136	123	40	11	1	2	10	29	3	9	2	325	390	480	869	154	404	21	7	364	132	—	—	—	—	—	—
2026	21	A+ MLE	Brooklyn Cyclones	—	347	307	60	9	0	10	23	92	13	36	8	195	280	322	602	127	233	27	7	263	64	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	99	88	19	2	0	1	10	31	1	20	1	216	303	273	576	57	321	31	10	251	56	—	—	—	—	—	—
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	56	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	483	430	99	20	1	11	33	121	16	45	10	230	309	358	667	128	291	25	7	291	83	—	—	—	—	—	—
2026	21	A+ RAW	2 teams	—	483	411	112	24	1	13	51	94	16	45	10	273	374	431	804	158	321	19	11	360	83	—	—	—	—	—	—
2025	20	A MLE	St. Lucie Mets	—	99	88	19	2	0	1	10	31	1	20	1	216	303	273	576	57	304	31	10	251	56	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	483	431	99	20	1	11	33	121	16	45	10	230	309	357	666	128	281	25	7	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	20	A MLE	St. Lucie Mets	—	99	88	19	2	0	1	10	31	1	20	1	216	303	273	576	57	304	31	10	251	56	—	—	—	—	—	—
2026	21	A+ MLE	2 teams	—	483	431	99	20	1	11	33	121	16	45	10	230	309	357	666	128	281	25	7	291	83	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	NYM	0%	548	493	112	22	2	13	39	123	11	21	5	227	298	359	656	132	274	22	7	295	86	-9	+2	-1	+2	+12	0.4
▸ 2027 — real world (MLB)
2027	22	MLB CTX	NYM	0%	1	1	0	0	0	0	0	0	0	0	0	220	292	349	641	129	265	0	0	288	86	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	NYM	43%	425	383	88	17	2	11	31	94	8	16	4	231	302	372	675	141	276	22	7	302	91	-5	+2	-0	+2	+9	0.7
2029	24	MLB MLE	NYM	58%	467	421	98	19	2	13	34	102	9	18	4	234	306	381	687	147	277	22	7	307	94	-3	+2	+0	+2	+10	1.1
2030	25	MLB MLE	NYM	65%	492	443	104	20	2	14	37	108	9	19	4	236	308	385	693	150	278	22	8	309	96	-3	+2	+0	+2	+11	1.2
2031	26	MLB MLE	NYM	68%	505	453	107	21	2	14	38	111	9	19	4	236	308	387	695	151	278	22	8	310	96	-2	+2	+0	+2	+11	1.3
2032	27	MLB MLE	NYM	68%	506	453	107	21	2	14	39	112	9	19	4	235	308	385	693	150	279	22	8	310	96	-3	+2	+0	+2	+11	1.3
2033	28	MLB MLE	NYM	68%	502	450	106	21	2	14	38	112	9	16	4	234	306	381	687	147	278	22	8	307	94	-4	+2	-1	+2	+11	1.0
2034	29	MLB MLE	NYM	66%	492	444	102	20	2	13	37	111	8	14	3	231	303	374	677	143	276	23	8	303	91	-5	+2	-1	+2	+11	0.8
2035	30	MLB MLE	NYM	66%	480	433	98	19	2	12	36	110	8	11	3	228	299	366	666	138	274	23	8	298	88	-7	+1	-2	+2	+10	0.4
2036	31	MLB MLE	NYM	65%	463	418	92	18	1	11	34	108	8	6	2	224	294	356	651	133	271	23	7	292	84	-9	+0	-3	+2	+10	0.1
2037	32	MLB MLE	NYM	65%	443	401	87	17	1	10	32	105	7	3	2	218	288	344	632	125	267	24	7	284	79	-11	-0	-3	+2	+10	-0.4
2028	23	MLB CTX	NYM	43%	184	165	38	7	1	5	13	41	4	7	2	225	296	362	659	138	266	22	7	296	91	-2	+1	-0	+1	+4	0.3
2029	24	MLB CTX	NYM	58%	271	244	55	11	1	7	20	59	5	10	2	227	300	371	671	143	268	22	7	300	94	-2	+1	+0	+1	+6	0.6
2030	25	MLB CTX	NYM	65%	319	286	65	12	1	9	24	70	6	12	3	229	302	375	677	147	269	22	8	303	96	-2	+1	+0	+1	+7	0.8
2031	26	MLB CTX	NYM	68%	344	309	70	13	1	10	26	75	6	13	3	229	302	377	679	148	269	22	8	304	96	-2	+1	+0	+1	+7	0.9
2032	27	MLB CTX	NYM	68%	344	309	70	13	1	10	26	76	6	13	3	229	302	375	677	147	269	22	8	303	96	-2	+1	+0	+1	+7	0.9
2033	28	MLB CTX	NYM	68%	341	306	69	13	1	9	26	76	6	11	3	227	300	371	671	144	269	22	8	300	94	-3	+1	-0	+1	+7	0.7
2034	29	MLB CTX	NYM	66%	327	293	66	12	1	9	25	74	6	9	2	224	297	365	662	140	267	23	8	297	91	-3	+1	-1	+1	+7	0.5
2035	30	MLB CTX	NYM	66%	315	283	63	12	1	8	24	72	5	7	2	221	293	357	650	135	265	23	8	292	88	-4	+1	-1	+1	+7	0.3
2036	31	MLB CTX	NYM	65%	301	271	59	11	1	7	22	70	5	4	1	217	289	347	635	130	262	23	7	286	84	-6	+0	-2	+1	+7	0.1
2037	32	MLB CTX	NYM	65%	287	259	55	10	1	7	21	68	5	2	1	212	282	334	617	123	258	24	7	278	79	-7	+0	-2	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3033	2725	610	114	10	81	227	681	54	88	22	224	296	362	659	138	267	22	7	296	89	-33	+9	-6	+11	+66	4.8
/ 162G	—	A+C		—	650	584	130	24	2	17	49	146	12	19	5	223	297	358	654	135	266	22	8	296	89	-7	+2	-1	+2	+14	1.0
Career	—	MLE		—	5567	5006	1151	224	20	143	414	1272	105	214	47	230	302	368	671	138	279	23	7	300	89	-55	+15	-10	+18	+108	7.8
/ 162G	—	MLE		—	650	584	134	26	2	17	48	149	12	25	5	229	301	368	669	139	278	23	7	300	89	-7	+2	-1	+2	+14	1.0

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Brooklyn Cyclones · 347 PAwOBA .333 → .263 (−69)K% 20.2% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.17%	÷1.000	×1.310	—	—	26.43%
BB% (unintentional) /PA	10.66%	÷1.000	×0.600	—	×1.012	6.47%
HBP% /PA	3.75%	—	×0.770	—	×1.012	2.92%
Singles /BIP	21.52%	÷1.000	×0.870	×0.979	×1.012	18.55%
Doubles /BIP	5.38%	÷1.000	×0.780	×0.979	×1.012	4.16%
Triples /BIP	0.00%	÷1.000	×0.850	×0.979	×1.012	0.00%
Home runs /BIP	4.93%	÷1.000	×0.880	—	×1.012	4.39%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .333 → .263; ISO .154 → .132; BABIP .278 → .233. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AABinghamton Rumble Ponies · 136 PAwOBA .406 → .364 (−42)K% 17.6% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.000	×1.220	—	—	21.53%
BB% (unintentional) /PA	10.29%	÷1.000	×0.700	—	×1.042	7.51%
HBP% /PA	2.21%	—	×0.850	—	×1.042	1.95%
Singles /BIP	27.66%	÷1.000	×0.970	×0.981	×1.042	27.43%
Doubles /BIP	12.77%	÷1.000	×0.860	×0.981	×1.042	11.22%
Triples /BIP	1.06%	÷1.000	×0.950	×0.981	×1.042	1.03%
Home runs /BIP	2.13%	÷1.000	×0.780	—	×1.042	1.73%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .406 → .364; ISO .169 → .147; BABIP .424 → .404. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ASt. Lucie Mets · 99 PAwOBA .294 → .251 (−43)K% 24.2% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷1.060	×1.360	—	—	31.10%
BB% (unintentional) /PA	13.13%	÷0.953	×0.690	—	×1.015	9.65%
HBP% /PA	1.01%	—	×0.780	—	×1.015	0.80%
Singles /BIP	27.87%	÷0.977	×0.920	×1.009	×1.015	26.87%
Doubles /BIP	3.28%	÷0.903	×0.830	×1.009	×1.015	3.08%
Triples /BIP	0.00%	÷1.150	×0.910	×1.009	×1.015	0.00%
Home runs /BIP	1.64%	÷0.855	×0.800	—	×1.015	1.56%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 95, 2B 81, 3B 130, K 112, BB 91 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .294 → .251; ISO .059 → .053; BABIP .317 → .304. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bill Halllast yr '11 career totals — 9 seasons, 3,621 PA	5.5	3,621	123	62	249	308	437	+22	+7	15.9	16.6
/162	664	23	11	+4.1	+1.3	2.9	pk7: 17
#2Danny 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
#3Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#4Mike Lansing'93-'01 * career totals — 9 seasons, 4,551 PA	6.9	4,551	84	119	259*	312*	394*	+20	-12	6.0	7.4
/162	664	12	17	+3.0	-1.8	0.9	pk7: 9
#5Dylan Moorelast yr '25 career totals — 7 seasons, 1,922 PA	2.9	1,922	63	118	206	310	383	+4	+8	6.6	6.6
/162	664	22	41	+1.3	+2.7	2.3	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.6	3,033	82	89	232	300	375	+11	+0	7.0	6.6
/162	664	18	19	+2.4	+0.0	1.5	pk7: 6
#6Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6

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)	22	—	—	—	—	225/295/356	131	274	5	8	22%	7%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Masyn Winn 2024 · MLB	22	47→53	46→50	59→55	46	231/290/362	131	284	12	21	23%	7%	84	+0.1	247/304/374	127	293	12	12	19%	7%	92	+0.7	248/309/365	117	296	11	11	19%	7%	93	+0.8
✕Felix Valerio 2023 · AA	22	43→49	44→45	53→55	49	215/287/333	118	255	12	23	20%	8%	76	-0.4	206/269/308	102	265	9	16	25%	7%	64	-1.3	193/254/279	87	254	8	13	26%	6%	48	-1.1
●Matt McLain 2023 · AA	23	41→51	50→55	59→55	48	209/297/370	161	292	17	24	33%	10%	89	+0.5	248/327/426	178	332	20	21	29%	9%	113	+2.3	229/312/388	159	300	18	22	28%	9%	98	+1.1
✕Ceddanne Rafaela 2023 · AA	22	47→55	50→55	58→55	37	238/275/402	164	298	17	19	26%	4%	88	+0.4	245/282/399	154	307	17	23	25%	4%	90	+0.6	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Jordan Lawlar 2024 · MLB	22	47→55	47→50	59→60	47	231/310/369	138	309	14	28	28%	8%	94	+0.9	240/311/398	158	324	15	25	29%	8%	100	+1.3	247/313/444	196	333	20	28	30%	7%	109	+1.0
✕Anthony Volpe 2023 · AAA	22	44→50	53→55	60→55	49	227/311/414	187	277	19	29	25%	9%	104	+1.6	222/287/376	154	278	16	24	25%	8%	86	+0.3	226/286/365	138	282	13	24	24%	7%	83	+0.1
✕Trey Sweeney 2023 · AA	23	38→45	48→50	57→55	45	200/273/344	144	263	16	19	30%	8%	74	-0.5	218/289/354	136	286	15	17	28%	8%	82	+0.0	219/291/353	133	286	15	17	27%	8%	81	-0.1
✕Jake Marisnick 2013 · AA	22	48→56	44→60	56→55	42	235/293/361	126	299	10	19	24%	5%	84	+0.2	236/283/359	123	302	12	23	25%	4%	80	-0.1	229/291/435	206	302	27	18	33%	6%	103	+0.8
✕José Rodríguez 2023 · AA	22	52→54	46→50	58→55	44	257/295/390	132	298	12	28	18%	5%	91	+0.7	238/272/362	124	290	14	26	22%	4%	76	-0.4	233/262/350	117	285	14	27	24%	3%	68	-0.5
✕Darell Hernaiz 2023 · AA	21	47→57	42→45	55→50	42	232/279/335	104	289	10	21	23%	5%	73	-0.6	259/311/362	103	308	8	14	18%	6%	91	+0.7	268/325/364	96	311	7	12	15%	7%	94	+0.7
✕Jared Serna 2024 · A	22	45→48	45	53→50	45	226/284/352	126	276	13	18	23%	7%	79	-0.2	214/271/321	107	261	11	15	22%	6%	68	-1.0	202/265/300	97	245	10	16	21%	6%	58	-1.4
✕Matt Shaw 2024 · AA	22	52→48	49→55	59→55	41	261/297/413	152	307	16	22	21%	4%	98	+1.2	244/315/408	164	287	19	23	21%	8%	104	+1.6	237/316/404	167	275	19	23	21%	9%	102	+1.1
✕Cayden Wallace 2024 · AA	22	45→49	44→50	53→50	45	220/280/345	125	285	10	13	26%	7%	76	-0.4	226/279/351	125	289	12	13	25%	6%	77	-0.3	232/281/372	140	285	16	15	24%	5%	80	-0.1
✕Tim Tawa 2022 · A	23	45	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	213/278/339	126	273	14	11	26%	8%	74	-0.5	223/286/391	168	267	21	13	25%	7%	88	+0.3
✕Yancarlo Angulo 2009 · AAA	22	44→54	45	54→55	44	219/290/349	130	281	12	15	26%	7%	82	-0.0	224/286/324	100	284	7	19	22%	7%	73	-0.6	263/316/383	120	335	9	13	23%	4%	96	+0.7
✕Eguy Rosario 2023 · AAA	23	48→54	48→55	52→55	45	238/301/386	148	304	14	21	26%	7%	94	+0.9	222/284/374	152	291	16	17	28%	7%	85	+0.2	202/265/351	149	268	17	17	30%	7%	70	-0.4
✕Agustín Ramírez 2024 · AA	22	44→48	48→55	48→55	47	226/286/366	140	275	16	10	24%	8%	84	+0.1	237/299/402	165	282	19	17	22%	7%	97	+1.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Taylor Motter 2012 · A	22	48→49	42→50	55	53	232/307/339	107	284	9	20	21%	10%	85	+0.2	227/290/330	103	280	8	20	21%	8%	76	-0.4	245/294/375	130	284	13	21	18%	6%	86	+0.2
✕Jason Taylor 2010 · A	22	45→40	45→50	52→55	50	222/296/347	125	272	12	21	23%	9%	83	+0.1	209/261/319	110	272	10	13	26%	6%	63	-1.4	145/173/232	87	187	9	6	28%	3%	9	-1.1
✕Chris Nelson 2008 · A	22	46→56	47→50	53→50	42	231/279/375	144	285	13	13	24%	6%	83	+0.1	231/285/360	129	287	12	12	23%	6%	82	-0.0	260/302/395	135	314	13	7	21%	5%	95	+0.7

Mitch Voit

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps