Braylon Payne — OGILVIE

Braylon PayneCF Wisconsin Timber Rattlers

Age 19 L/L 6'2" / 186 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION462 act + 9 ros · stats below = ROS only

showingROS

wRC+†80

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

PA9

HR0

K%33

BB%11

BABIP289

ISO136

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 32 / POW 50

Toolsscout grade

CONTACT32

scouting grade only

POWER50

scouting grade only

EYE55

scouting grade only

SPEED70

scouting grade only

DEFENSE53

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	+0.8	$3M	+$2M
2030	Pre-Arb	$0.9M	+1.0	$6M	+$5M
2031	Pre-Arb	$0.9M	+1.2	$7M	+$6M
2032	Arb-1	$6M	+1.3	$7M	+$4M
2033	Arb-2	$9M	+1.3	$6M	+$2M
2034	Arb-3	$14M	+1.3	$6M	+$0.0M (cut)
Totals		$18M		$33M	+$19M

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	A	Carolina Mudcats	—	19	16	7	1	1	0	3	3	0	4	1	438	526	625	1.151	188	538	16	16	501	225	+3	+0	—	—	+0	0.4
2025	18	A	Carolina Mudcats	—	342	288	69	9	4	8	52	103	0	31	10	240	356	382	738	142	341	30	15	334	112	+5	+2	—	—	+7	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	A MLE	Carolina Mudcats	—	19	17	6	1	1	0	2	4	0	4	1	353	421	529	950	176	467	21	11	393	152	+1	+0	—	—	+0	0.2
2025	18	A MLE	Carolina Mudcats	—	342	306	58	7	3	5	34	142	0	31	10	190	271	281	552	92	321	42	10	248	54	-19	+2	—	—	+7	-0.9
2024	17	A MLE	Carolina Mudcats	—	19	17	6	1	1	0	2	4	0	4	1	353	421	529	950	176	462	21	11	393	152	—	—	—	—	—	—
2024	17	A RAW	Carolina Mudcats	—	19	16	7	1	1	0	3	3	0	4	1	438	526	625	1.151	188	538	16	16	501	152	—	—	—	—	—	—
2025	18	A MLE	Carolina Mudcats	—	342	306	58	7	3	5	34	142	0	31	10	190	271	281	552	92	329	42	10	248	54	—	—	—	—	—	—
2025	18	A RAW	Carolina Mudcats	—	342	288	69	9	4	8	52	103	0	31	10	240	356	382	738	142	341	30	15	334	54	—	—	—	—	—	—
2024	17	A MLE	Carolina Mudcats	—	19	17	6	1	1	0	2	4	0	4	1	353	421	529	950	176	467	21	11	393	152	—	—	—	—	—	—
2025	18	A MLE	Carolina Mudcats	—	342	305	58	7	3	5	34	142	0	31	10	190	271	282	553	92	321	42	10	248	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	A MLE	Carolina Mudcats	—	19	17	6	1	1	0	2	4	0	4	1	353	421	529	950	176	467	21	11	393	152	—	—	—	—	—	—
2025	18	A MLE	Carolina Mudcats	—	342	305	58	7	3	5	34	142	0	31	10	190	271	282	553	92	321	42	10	248	54	—	—	—	—	—	—
YTD	19	A+ MLE	MIL	—	462	424	90	16	3	21	33	178	3	25	9	212	274	413	687	200	307	39	7	294	85	-8	+1	+0	+2	+10	0.5
▸ 2026 season
YTD	19	A+ RAW	MIL	—	357	310	86	15	2	23	42	105	3	22	9	277	369	561	930	284	346	29	12	402	85	—	—	—	—	—	—
YTD	19	AA RAW	MIL	—	105	98	28	6	2	5	6	30	0	3	0	286	324	541	865	255	365	29	6	372	85	—	—	—	—	—	—
ROS	19	A+ MLE	MIL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		290	33	11	286	80	-0	+0	-0	+0	+0	0.0
TOT	19	A+ MLE	MIL	—	471	432	91	16	3	21	34	181	3	25	9	211	273	407	680	197	304	38	7	294	85	-8	+1	-0	+2	+10	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	MIL	35%	466	421	90	15	3	18	39	163	3	16	6	214	285	392	677	178	295	35	8	297	87	-7	+1	-0	+2	+10	0.5
2028	21	MLB MLE	MIL	49%	537	482	106	18	3	21	46	178	4	18	6	220	293	400	694	180	296	33	9	308	94	-4	+1	-0	+2	+12	1.1
2029	22	MLB MLE	MIL	54%	579	520	118	20	4	24	50	186	4	19	6	227	300	419	719	192	296	32	9	315	99	-0	+1	-0	+2	+13	1.6
2030	23	MLB MLE	MIL	57%	609	545	125	21	4	26	54	191	5	19	7	229	305	426	730	196	296	31	9	320	103	+2	+1	-0	+2	+13	1.8
2031	24	MLB MLE	MIL	57%	628	562	131	22	4	28	56	195	5	20	7	233	308	436	744	203	297	31	9	324	105	+4	+1	-0	+2	+14	2.1
2032	25	MLB MLE	MIL	57%	638	570	132	22	4	28	58	197	5	20	7	232	308	432	740	200	297	31	9	326	107	+5	+1	-1	+2	+14	2.3
2033	26	MLB MLE	MIL	56%	641	573	133	22	4	29	58	198	5	20	7	232	308	436	744	204	297	31	9	327	108	+6	+1	-1	+2	+14	2.3
2034	27	MLB MLE	MIL	55%	638	569	132	22	4	29	59	198	5	20	7	232	310	438	747	206	297	31	9	327	108	+6	+1	-1	+2	+14	2.3
2035	28	MLB MLE	MIL	55%	632	563	129	21	4	28	59	197	5	19	6	229	308	430	738	201	296	31	9	326	107	+5	+1	-1	+2	+14	2.2
2036	29	MLB MLE	MIL	53%	620	552	127	21	4	27	58	194	5	18	6	230	309	429	738	199	295	31	9	324	106	+4	+1	-2	+2	+13	2.0
2037	30	MLB MLE	MIL	53%	609	542	123	20	3	27	57	192	5	16	6	227	306	424	731	197	294	32	9	322	104	+3	+1	-3	+2	+13	1.7
2038	31	MLB MLE	MIL	52%	594	528	117	19	3	25	56	190	5	15	5	222	302	411	713	189	291	32	9	318	101	+1	+1	-3	+2	+13	1.4
2039	32	MLB MLE	MIL	52%	576	513	113	18	3	24	54	186	4	14	5	220	299	407	707	187	287	32	9	312	97	-2	+1	-4	+2	+12	1.0
2040	33	MLB MLE	MIL	56%	546	486	104	16	3	22	51	179	4	12	4	214	294	395	689	181	283	33	9	305	92	-5	+1	-5	+2	+12	0.5
2041	34	MLB MLE	MIL	52%	498	446	92	14	2	19	46	167	3	10	3	206	285	374	659	168	277	34	9	296	86	-8	+1	-5	+2	+11	0.0
2027	20	MLB CTX	MIL	35%	161	146	31	5	1	6	13	56	1	6	2	212	281	384	665	171	294	35	8	295	87	-2	+0	-0	+1	+3	0.2
2028	21	MLB CTX	MIL	49%	261	235	52	8	2	11	22	87	2	9	3	221	293	413	706	191	294	33	8	305	94	-2	+1	-0	+1	+6	0.5
2029	22	MLB CTX	MIL	54%	314	282	64	10	2	14	27	101	2	10	4	227	299	426	725	199	295	32	9	313	99	-0	+0	-0	+1	+7	0.8
2030	23	MLB CTX	MIL	57%	345	309	71	12	2	15	30	108	3	11	4	230	304	427	731	197	295	31	9	318	103	+1	+1	-0	+1	+7	1.0
2031	24	MLB CTX	MIL	57%	355	317	73	12	2	16	32	110	3	11	4	230	307	432	739	202	296	31	9	321	105	+2	+1	-0	+1	+8	1.2
2032	25	MLB CTX	MIL	57%	361	322	75	12	2	17	33	112	3	11	4	233	310	441	751	208	296	31	9	324	107	+3	+1	-0	+1	+8	1.3
2033	26	MLB CTX	MIL	56%	362	323	75	12	2	17	33	112	3	11	4	232	309	440	749	207	296	31	9	325	108	+3	+1	-0	+1	+8	1.3
2034	27	MLB CTX	MIL	55%	354	315	74	12	2	17	33	110	3	11	4	235	313	448	761	213	296	31	9	325	108	+3	+1	-0	+1	+8	1.3
2035	28	MLB CTX	MIL	55%	347	309	72	12	2	16	32	108	3	10	4	233	311	440	751	207	295	31	9	324	107	+3	+0	-1	+1	+8	1.2
2036	29	MLB CTX	MIL	53%	331	294	68	11	2	15	31	104	3	9	3	231	311	435	746	204	294	31	9	322	106	+2	+1	-1	+1	+7	1.0
2037	30	MLB CTX	MIL	53%	321	285	65	10	2	15	30	101	3	9	3	228	308	435	743	207	293	31	9	319	104	+1	+1	-1	+1	+7	0.9
2038	31	MLB CTX	MIL	52%	310	276	63	10	2	14	29	99	2	8	3	228	306	431	737	203	290	32	9	315	101	+0	+0	-2	+1	+7	0.7
2039	32	MLB CTX	MIL	52%	299	267	59	9	2	13	28	97	2	7	2	221	300	416	715	195	286	32	9	310	97	-1	+1	-2	+1	+6	0.5
2040	33	MLB CTX	MIL	56%	306	273	59	9	2	13	28	100	2	7	2	216	294	407	700	190	282	33	9	303	92	-3	+1	-3	+1	+7	0.3
2041	34	MLB CTX	MIL	52%	256	228	47	7	1	10	24	86	2	5	2	206	287	377	665	171	276	34	9	294	86	-4	+0	-3	+1	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4683	4181	948	151	28	209	425	1491	37	135	48	227	304	426	730	199	295	32	9	316	99	+8	+8	-14	+17	+101	12.2
/ 162G	—	A+C		—	650	580	132	21	4	29	59	207	5	19	7	228	304	428	732	200	296	32	9	316	99	+1	+1	-2	+2	+14	1.7
Career	—	MLE		—	9181	8203	1837	299	56	380	838	2960	67	291	99	224	301	413	714	189	297	32	9	315	99	+10	+16	-27	+31	+191	22.7
/ 162G	—	MLE		—	650	581	130	21	4	27	59	210	5	21	7	224	301	413	714	189	297	32	9	315	99	+1	+1	-2	+2	+14	1.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris 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
#2Jay Brucelast yr '20 career totals — 13 seasons, 6,603 PA	9.9	6,603	318	65	245	314	469	-71	-54	19.6	19.5
/162	664	32	7	-7.1	-5.4	2.0	pk7: 19
#3Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
#4Eric Byrneslast yr '09 career totals — 8 seasons, 3,440 PA	5.2	3,440	106	125	260	321	441	-21	+3	14.9	15.2
/162	664	20	24	-4.1	+0.6	2.9	pk7: 16
#5Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#6Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	7.1	4,683	200	135	226	300	420	-28	+12	11.5	9.6
/162	664	28	19	-4.0	+1.7	1.6	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
Braylon Payne (OGILVIE)	19	20→32	30→50	70	55	203/270/369	166	290	12	15	36%	8%	80	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕Carlos Jorge 2023 · A	19	45	47→45	63→60	45	216/296/360	143	308	13	30	32%	9%	86	+0.3	202/272/319	117	298	11	25	33%	8%	68	-1.0	211/271/303	92	299	8	34	30%	6%	60	-1.1
✕Taylor Trammell 2018 · A	20	45→46	41→55	57→55	43	217/275/321	104	306	8	21	30%	7%	69	-0.9	208/280/300	92	300	8	18	31%	9%	66	-1.1	203/297/373	170	273	21	23	32%	11%	88	+0.3
●Esteury Ruiz 2019 · A	20	43→53	42→50	59→70	35	205/253/317	112	311	9	26	36%	5%	59	-1.6	202/253/311	109	300	10	30	34%	5%	59	-1.7	264/338/395	131	327	12	74	22%	6%	107	+1.2
✕Akil Baddoo 2019 · A	20	42→52	43→50	56→55	47	203/279/323	120	288	8	13	30%	9%	71	-0.8	213/282/343	130	314	11	16	33%	9%	76	-0.4	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Jorge Mateo 2014 · A	19	43→48	42→50	60→65	46	209/275/314	105	270	9	30	25%	8%	68	-1.0	211/263/305	94	295	6	36	28%	6%	60	-1.6	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	193/266/287	94	270	9	17	30%	8%	58	-1.7	218/283/318	100	304	7	21	28%	8%	71	-0.8	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Luke Adams 2023 · A	19	50→36	41→50	55	45	231/306/331	100	330	7	18	30%	8%	83	+0.1	193/323/316	123	270	12	20	30%	11%	89	+0.5	189/341/340	151	235	17	19	25%	12%	100	+0.7
✕Jarred Kelenic 2019 · A	20	45→54	43→60	57→50	42	218/277/333	115	296	10	13	29%	7%	72	-0.7	226/284/402	176	289	21	13	28%	7%	91	+0.7	223/292/404	181	286	20	15	29%	8%	92	+0.6
✕Junior Franco 2022 · A	19	47→41	42→45	57→55	41	216/282/325	110	337	8	15	36%	8%	72	-0.7	205/254/311	106	294	11	18	32%	6%	59	-1.7	221/275/325	104	280	10	21	24%	6%	67	-0.6
✕Jonatan Clase 2022 · A	20	44→46	40→50	59→65	45	210/283/306	96	307	7	26	32%	8%	69	-0.9	205/280/349	144	302	15	39	34%	9%	78	-0.3	202/277/349	146	289	15	47	33%	8%	74	-0.5
●Evan Carter 2022 · A	19	46→53	42→50	52→55	55	216/324/330	114	293	8	18	27%	12%	91	+0.6	237/321/380	143	308	13	20	25%	10%	100	+1.3	237/324/389	152	306	14	21	25%	10%	100	+0.9
●Trent Grisham 2016 · A	19	49	38→60	56→55	48	230/300/314	84	311	4	19	26%	8%	76	-0.4	198/281/285	87	301	6	16	32%	10%	63	-1.3	240/327/432	192	284	22	14	23%	10%	111	+1.7
✕Jasson Domínguez 2023 · AA	20	44→53	45→50	56→60	43	209/284/338	129	316	12	20	36%	9%	76	-0.4	235/307/369	134	322	15	28	29%	9%	92	+0.7	243/318/375	132	322	15	33	28%	10%	94	+0.7
✕Abraham Almonte 2007 · A	18	41→51	45→55	54→55	54	205/293/332	127	260	12	26	25%	11%	79	-0.2	208/266/308	100	276	8	19	26%	7%	62	-1.4	228/326/410	182	278	20	11	24%	12%	106	+1.0
●Corbin Carroll 2021 · A	20	46→54	40→65	57→60	46	216/286/313	97	312	6	16	31%	9%	71	-0.8	249/324/433	184	329	19	26	28%	9%	113	+2.3	250/336/478	228	282	25	37	21%	10%	124	+3.4
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Forrest Wall 2015 · A	19	48→55	41→45	56→70	47	227/290/330	103	300	7	17	26%	8%	76	-0.4	222/274/319	97	291	7	16	25%	6%	68	-1.0	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕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

Career Stats + Projections

Career Comps

Career Path Comps