Brady Marget

1B Charleston RiverDogs

Age 24 L/R 6'5" / 239 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	21	ATB	47	.250/.413/.333	1	1	80	—	.205/.326/.282
2025	22	ATB	32	.231/.375/.308	0	0	62	—	.179/.281/.250
2026	23	A/ROKTB	290	.342/.449/.481	5	1	115	—	.291/.371/.398
2027PROJMLE	24	MLBTB	340	.218/.297/.327	6	5	78	-0.2
2028PROJ30% MLB	25	MLBTB	52	.222/.300/.333	1	1	80	-0.1

Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A

wRC+92

wOBA90

K%85

Whiff%81

BB%71

Z-Con%71

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsDominic D'Anna (age 24) · Shawn Pleffner (age 24) · Ezequiel Pagan (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 148 proj PA

wRC+†78

AVG/OBP/SLG.216 / .294 / .324

PA148

HR2

K%28

BB%9

ISO109

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 54 / POW 37

Toolsscout grade

CONTACT54

scouting grade only

POWER37

scouting grade only

EYE54

scouting grade only

SPEED43

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 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)
2024	21	A	Charleston RiverDogs	—	47	36	9	0	0	1	9	6	1	1	0	250	413	333	746	83	267	13	19	348	80	—	—	—	—	—	—
2025	22	A	Charleston RiverDogs	—	32	26	6	2	0	0	5	7	1	0	0	231	375	308	683	77	316	22	16	325	62	—	—	—	—	—	—
2026	23	A	Charleston RiverDogs	—	224	182	60	14	0	4	33	37	3	1	0	330	440	473	913	143	381	17	15	400	118	—	—	—	—	—	—
2026	23	ROK	FCL Rays	—	66	55	21	4	0	1	8	6	2	0	0	382	477	509	986	127	408	9	12	436	104	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Charleston RiverDogs	—	47	39	8	0	0	1	6	8	1	1	0	205	326	282	608	77	229	17	13	287	80	—	—	—	—	—	—
2025	22	A MLE	Charleston RiverDogs	—	32	28	5	2	0	0	3	9	1	0	0	179	281	250	531	71	291	28	9	260	62	—	—	—	—	—	—
2026	23	A MLE	Charleston RiverDogs	—	224	193	56	12	0	3	22	50	3	1	0	290	372	399	771	109	348	22	10	342	118	—	—	—	—	—	—
2026	23	ROK MLE	FCL Rays	—	66	58	17	3	0	1	5	9	2	0	0	293	369	397	766	103	310	14	8	322	104	—	—	—	—	—	—
2024	21	A MLE	Charleston RiverDogs	—	47	39	8	0	0	1	6	8	1	1	0	205	326	282	608	77	226	17	13	287	80	—	—	—	—	—	—
2024	21	A RAW	Charleston RiverDogs	—	47	36	9	0	0	1	9	6	1	1	0	250	413	333	746	83	267	13	19	348	80	—	—	—	—	—	—
2025	22	A MLE	Charleston RiverDogs	—	32	28	5	2	0	0	3	9	1	0	0	179	281	250	531	71	263	28	9	260	62	—	—	—	—	—	—
2025	22	A RAW	Charleston RiverDogs	—	32	26	6	2	0	0	5	7	1	0	0	231	375	308	683	77	316	22	16	325	62	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	290	251	73	15	0	4	27	59	5	1	0	291	371	398	769	108	354	20	9	337	115	—	—	—	—	—	—
2026	23	A RAW	2 teams	—	290	237	81	18	0	5	41	43	5	1	0	342	449	481	930	139	388	15	14	408	115	—	—	—	—	—	—
2024	21	A MLE	Charleston RiverDogs	—	47	40	8	0	0	1	6	8	1	1	0	200	326	275	601	75	229	17	13	287	80	—	—	—	—	—	—
2025	22	A MLE	Charleston RiverDogs	—	32	28	5	2	0	0	3	9	1	0	0	179	281	250	531	71	291	28	9	260	62	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	290	256	73	15	0	4	27	59	5	1	0	285	371	391	762	105	339	20	9	337	115	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	21	A MLE	Charleston RiverDogs	—	47	40	8	0	0	1	6	8	1	1	0	200	326	275	601	75	229	17	13	287	80	—	—	—	—	—	—
2025	22	A MLE	Charleston RiverDogs	—	32	28	5	2	0	0	3	9	1	0	0	179	281	250	531	71	291	28	9	260	62	—	—	—	—	—	—
2026	23	A MLE	2 teams	—	290	256	73	15	0	4	27	59	5	1	0	285	371	391	762	105	339	20	9	337	115	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	TB	0%	340	303	67	13	2	6	30	95	4	5	1	218	297	327	624	109	295	28	9	283	78	-9	+1	+0	-6	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	TB	30%	173	154	34	6	1	3	15	48	2	3	1	220	299	333	632	113	295	28	9	287	80	-4	+0	+0	-3	+4	-0.3
2028	25	MLB CTX	TB	30%	52	46	10	2	0	1	5	14	1	1	0	222	300	333	634	111	298	27	10	287	80	-1	+0	+0	-1	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	52	46	10	2	0	1	5	14	1	1	0	217	308	326	634	109	290	27	10	287	93	-1	+0	+0	-1	+1	-0.1
/ 162G	—	A+C		—	650	575	125	25	0	12	62	175	12	12	0	217	306	323	630	106	291	27	10	287	93	-15	+2	+0	-12	+14	-1.1
Career	—	MLE		—	690	604	148	28	2	10	64	165	11	7	2	245	328	348	676	103	314	24	9	306	93	-8	+0	+0	-6	+7	-0.7
/ 162G	—	MLE		—	650	569	139	26	2	9	60	155	10	7	2	244	327	344	671	100	314	24	9	306	93	-16	+0	+0	-12	+14	-1.4

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 ACharleston RiverDogs · 224 PAwOBA .401 → .342 (−59)K% 16.5% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.52%	÷1.000	×1.360	—	—	22.46%
BB% (unintentional) /PA	14.73%	÷1.000	×0.690	—	×0.980	9.96%
HBP% /PA	1.34%	—	×0.780	—	×0.980	1.02%
Singles /BIP	28.97%	÷1.000	×0.920	×1.043	×0.980	27.25%
Doubles /BIP	9.66%	÷1.000	×0.830	×1.043	×0.980	8.19%
Triples /BIP	0.00%	÷1.000	×0.910	×1.043	×0.980	0.00%
Home runs /BIP	2.76%	÷1.000	×0.800	—	×0.980	2.16%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .401 → .342; ISO .143 → .120; BABIP .381 → .348. 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 ROKFCL Rays · 66 PAwOBA .431 → .322 (−109)K% 9.1% → 13.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷1.000	×1.440	—	—	13.09%
BB% (unintentional) /PA	12.12%	÷1.000	×0.620	—	×0.955	7.18%
HBP% /PA	3.03%	—	×0.720	—	×0.955	2.08%
Singles /BIP	32.65%	÷1.000	×0.820	—	×0.955	25.57%
Doubles /BIP	8.16%	÷1.000	×0.720	—	×0.955	5.61%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	2.04%	÷1.000	×0.780	—	×0.955	1.52%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .431 → .322; ISO .127 → .095; BABIP .408 → .310. 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 ACharleston RiverDogs · 32 PAwOBA .318 → .260 (−58)K% 21.9% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.88%	÷1.006	×1.360	—	—	29.59%
BB% (unintentional) /PA	15.62%	÷0.985	×0.690	—	×0.990	10.84%
HBP% /PA	3.12%	—	×0.780	—	×0.990	2.41%
Singles /BIP	21.05%	÷1.013	×0.920	—	×0.990	18.93%
Doubles /BIP	10.53%	÷0.850	×0.830	—	×0.990	10.18%
Triples /BIP	0.00%	÷1.121	×0.910	—	×0.990	0.00%
Home runs /BIP	0.00%	÷1.159	×0.800	—	×0.990	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 103, 2B 70, 3B 124, K 101, BB 97 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).

Result: wOBA .318 → .260; ISO .077 → .072; BABIP .316 → .291. 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).

2024 ACharleston RiverDogs · 47 PAwOBA .347 → .287 (−61)K% 12.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.77%	÷0.985	×1.360	—	—	17.62%
BB% (unintentional) /PA	19.15%	÷1.047	×0.690	—	—	12.62%
HBP% /PA	2.13%	—	×0.780	—	—	1.66%
Singles /BIP	26.67%	÷1.071	×0.920	—	—	22.90%
Doubles /BIP	0.00%	÷1.017	×0.830	—	—	0.00%
Triples /BIP	0.00%	÷1.099	×0.910	—	—	0.00%
Home runs /BIP	3.33%	÷0.824	×0.800	—	—	3.23%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 65, 1B 114, 2B 103, 3B 120, K 97, BB 109 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .347 → .287; ISO .083 → .086; BABIP .267 → .229. 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
#1John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#2Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#3James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 1
#4Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	pk7: 1
#5Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.3	200	3	3	220	295	330	-4	-2	-0.3	-0.1
/162	664	11	10	-11.9	-5.0	-0.9	pk7: 0
#6Jolbert Cabrera'98-'08 * career totals — 6 seasons, 1,531 PA	2.3	1,531	18	38	247*	295*	354*	-3	-9	-1.1	-0.7
/162	664	8	16	-1.4	-4.0	-0.5	pk7: -0

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
Brady Marget (OGILVIE)	24	54	37	43	54	216/294/324	108	295	2	2	28%	9%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dominic D'Anna 2013 · A	24	48	41→40	45→40	49	229/306/331	101	303	8	4	25%	9%	82	+0.0	212/274/311	99	290	9	6	28%	7%	66	-1.1	171/216/243	73	227	8	0	28%	5%	28	-1.2
✕Shawn Pleffner 2014 · A	24	49→56	39→40	51→45	49	231/296/323	92	299	6	9	24%	8%	77	-0.3	243/292/321	78	310	4	6	21%	6%	74	-0.5	248/294/318	70	312	3	4	20%	6%	72	-0.5
✕Ezequiel Pagan 2024 · A	24	51→54	41→45	46→50	45	244/297/341	98	295	8	10	20%	6%	82	-0.0	213/259/318	105	261	11	11	22%	4%	62	-1.4	189/230/299	110	226	12	11	22%	3%	45	-1.3
✕Whitney Robbins 2009 · A	24	46→52	40	46→30	52	217/303/311	94	279	7	4	23%	10%	78	-0.3	229/289/326	97	280	8	3	20%	7%	75	-0.5	248/297/348	101	298	9	0	19%	6%	80	-0.1
✕Will Maddox 2016 · A	24	51→59	40→30	47→50	41	245/288/336	91	311	7	11	23%	5%	76	-0.4	258/291/321	63	335	3	14	23%	4%	73	-0.6	266/297/327	61	340	2	13	22%	4%	75	-0.4
✕Danny Hayes 2015 · A	24	44→46	43→45	44→30	46	217/280/333	116	290	10	2	28%	8%	74	-0.6	212/290/336	124	288	12	2	28%	10%	78	-0.3	197/282/325	127	267	13	0	29%	10%	71	-0.5
✕Drew Heid 2012 · A	24	50→57	39→40	47→50	45	241/294/323	82	292	7	10	20%	6%	76	-0.4	235/297/325	90	296	7	12	21%	8%	77	-0.3	236/298/324	87	297	6	11	21%	8%	75	-0.4
✕Carson Taylor 2023 · AA	24	49	42→45	47→40	46	234/298/334	100	309	10	3	26%	8%	80	-0.1	224/297/340	116	294	13	5	27%	9%	82	-0.0	211/292/326	114	274	13	3	26%	9%	75	-0.3
✕Justin Howard 2012 · A	24	46	39→45	44→45	47	217/285/307	90	304	5	7	28%	9%	69	-0.9	235/300/334	99	323	7	7	27%	8%	81	-0.1	241/305/343	102	327	8	5	27%	7%	81	-0.0
✕Reid Fronk 2010 · A	24	42→47	43→45	44→50	46	206/292/318	112	279	10	10	28%	8%	76	-0.4	202/287/293	91	284	5	8	28%	9%	68	-1.0	194/284/280	86	276	3	7	28%	9%	62	-1.0
✕Joe Jackson 2016 · A	24	49→48	43→45	47→40	44	235/288/347	112	303	9	5	25%	6%	80	-0.2	228/276/323	95	297	7	5	24%	5%	69	-0.9	228/272/307	79	293	5	2	23%	4%	61	-1.1
✕Cornelius Randolph 2021 · AA	24	46→51	41→45	46→45	44	222/282/321	100	305	9	9	29%	7%	72	-0.7	209/271/320	111	340	11	12	38%	8%	67	-1.1	197/264/303	106	305	12	15	37%	8%	58	-0.5
✕Kevin Smith 2008 · A	24	49→55	45	47→40	45	239/294/370	131	300	11	4	24%	6%	87	+0.4	239/282/335	96	335	6	5	28%	5%	74	-0.5	237/281/321	84	340	4	4	30%	5%	68	-0.6
✕Luis González 2019 · A	23	48→51	44→45	44→50	43	231/285/357	125	304	10	6	27%	7%	80	-0.1	220/277/328	108	279	10	13	24%	7%	71	-0.8	233/309/345	112	298	11	22	24%	9%	86	+0.1
✕Grant Lavigne 2024 · AA	24	44→50	44→45	45	46	214/294/332	118	307	11	4	32%	9%	79	-0.2	214/295/340	126	309	13	8	32%	9%	82	-0.0	202/291/326	124	293	13	9	33%	9%	76	-0.4
✕Tyler Ramirez 2019 · AA	24	51→53	42→40	44→45	44	237/305/345	108	342	9	6	31%	8%	86	+0.3	209/291/308	99	308	8	6	32%	9%	73	-0.6	171/269/255	84	264	8	5	35%	10%	51	-1.8
✕Logan Parker 2008 · A	24	47	43→45	52→45	46	229/288/336	107	303	10	8	27%	8%	77	-0.3	214/273/332	118	285	11	6	27%	7%	70	-0.8	205/267/328	123	268	12	3	27%	7%	64	-0.9
✕Carlos Sosa 2006 · A	24	49→51	43→45	47→40	46	235/301/352	117	325	10	5	29%	9%	85	+0.2	238/295/357	119	336	11	4	30%	7%	84	+0.2	237/293/353	116	327	11	3	29%	7%	80	-0.1
✕Conrad Gregor 2016 · AA	24	47→55	45	47→40	50	230/301/360	130	287	11	4	23%	9%	88	+0.4	209/277/327	118	256	11	5	22%	8%	72	-0.7	198/268/313	115	231	11	3	19%	9%	63	-0.6
✕JT Schwartz 2024 · AA	24	48→47	41→45	49→45	45	230/288/332	101	292	7	6	23%	6%	76	-0.4	216/286/330	114	268	10	6	22%	8%	76	-0.4	198/274/314	115	245	11	5	23%	8%	66	-0.7

Brady Marget

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps