Brayan Cota

SS DSL Athletics

Age 20 L/R 6'1" / 170 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1933ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKOAK	109	.159/.361/.171	0	2	24	—	.114/.278/.125
2025	18	ROKOAK	166	.172/.346/.219	0	3	17	—	.124/.259/.161
2026	19	ROKOAK	160	.207/.389/.289	2	1	37	—	.146/.293/.192
2027PROJMLE	20	MLBOAK	270	.193/.280/.260	2	3	57	-0.1
2028PROJ34% MLB	21	MLBOAK	46	.205/.291/.287	0	1	63	-0.0
2029PROJ48% MLB	22	MLBOAK	110	.210/.295/.302	1	1	68	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Whiff%91

Chase%82

K%81

Z-Con%81

BB%73

wRC+44

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsMiguel Arrendell (age 20) · Kleininger Teran (age 20) · Michael De La Cruz (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 82 proj PA

wRC+†57

AVG/OBP/SLG.192 / .278 / .257

PA82

HR1

K%25

BB%9

ISO66

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 25 / POW 20

Toolsscout grade

CONTACT25

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.5M	+$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	17	ROK	DSL Athletics	—	109	82	13	1	0	0	22	22	4	2	1	159	361	171	532	12	217	20	20	279	24	—	—	—	—	—	—
2025	18	ROK	DSL Athletics	—	166	128	22	4	1	0	28	27	6	3	2	172	346	219	564	47	214	16	17	278	17	—	—	—	—	—	—
2026	19	ROK	DSL Athletics	—	160	121	25	4	0	2	30	24	6	1	2	207	389	289	678	83	242	15	19	324	37	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Athletics	—	109	88	10	1	0	0	16	27	4	2	1	114	278	125	403	11	161	25	15	204	24	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	166	137	17	3	1	0	19	33	6	3	2	124	259	161	420	36	143	20	11	194	17	—	—	—	—	—	—
2026	19	ROK MLE	DSL Athletics	—	160	130	19	3	0	1	21	29	6	1	2	146	293	192	485	46	166	18	13	223	37	—	—	—	—	—	—
2024	17	ROK MLE	DSL Athletics	—	109	88	10	1	0	0	16	27	4	2	1	114	278	125	403	11	164	25	15	204	24	—	—	—	—	—	—
2024	17	ROK RAW	DSL Athletics	—	109	82	13	1	0	0	22	22	4	2	1	159	361	171	532	12	217	20	20	279	24	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	166	137	17	3	1	0	19	33	6	3	2	124	259	161	420	36	160	20	11	194	17	—	—	—	—	—	—
2025	18	ROK RAW	DSL Athletics	—	166	128	22	4	1	0	28	27	6	3	2	172	346	219	564	47	214	16	17	278	17	—	—	—	—	—	—
2026	19	ROK MLE	DSL Athletics	—	160	130	19	3	0	1	21	29	6	1	2	146	293	192	485	46	180	18	13	223	37	—	—	—	—	—	—
2026	19	ROK RAW	DSL Athletics	—	160	121	25	4	0	2	30	24	6	1	2	207	389	289	678	83	242	15	19	324	37	—	—	—	—	—	—
2024	17	ROK MLE	DSL Athletics	—	109	88	10	1	0	0	16	27	4	2	1	114	278	125	403	11	161	25	15	204	24	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	166	140	17	3	1	0	19	33	6	3	2	121	259	157	416	36	143	20	11	194	17	—	—	—	—	—	—
2026	19	ROK MLE	DSL Athletics	—	160	132	19	3	0	1	21	29	6	1	2	144	293	189	482	45	166	18	13	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Athletics	—	109	88	10	1	0	0	16	27	4	2	1	114	278	125	403	11	161	25	15	204	24	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	166	140	17	3	1	0	19	33	6	3	2	121	259	157	416	36	143	20	11	194	17	—	—	—	—	—	—
2026	19	ROK MLE	DSL Athletics	—	160	132	19	3	0	1	21	29	6	1	2	144	293	189	482	45	166	18	13	223	37	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	OAK	0%	270	239	47	8	2	2	25	67	4	3	1	193	280	260	540	66	258	25	9	252	57	-14	+0	+0	+3	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	OAK	34%	133	118	24	4	1	1	12	32	2	2	1	199	286	278	563	79	261	24	9	261	63	-6	+0	+0	+1	+3	-0.2
2029	22	MLB MLE	OAK	48%	226	200	41	7	1	3	21	55	3	3	1	204	290	293	583	89	263	24	9	269	68	-9	+0	+0	+2	+5	-0.1
2030	23	MLB MLE	OAK	54%	321	284	60	10	2	5	29	77	5	4	2	208	293	305	598	97	266	24	9	274	72	-11	+0	+0	+3	+7	-0.0
2031	24	MLB MLE	OAK	55%	390	345	72	12	2	6	36	93	6	5	2	211	296	314	610	103	268	24	9	279	75	-12	+0	+0	+4	+8	0.1
2032	25	MLB MLE	OAK	56%	430	382	82	14	3	7	39	102	6	6	2	214	298	321	619	108	269	24	9	282	77	-12	+0	+0	+5	+9	0.3
2033	26	MLB MLE	OAK	56%	450	400	85	14	3	8	41	107	6	6	2	214	298	323	620	109	269	24	9	283	78	-12	+0	+0	+5	+10	0.3
2034	27	MLB MLE	OAK	55%	458	406	86	14	3	8	42	109	7	6	3	213	297	320	617	107	268	24	9	282	77	-13	+0	+0	+5	+10	0.2
2035	28	MLB MLE	OAK	59%	456	405	86	14	3	8	42	110	6	5	3	211	295	315	611	104	268	24	9	279	75	-14	-0	-1	+5	+10	0.0
2036	29	MLB MLE	OAK	56%	448	398	83	14	2	7	41	109	6	4	3	209	292	310	602	101	267	24	9	275	73	-15	-0	-1	+5	+10	-0.2
2028	21	MLB CTX	OAK	34%	46	41	7	1	0	0	4	11	1	1	0	205	291	287	578	83	269	24	9	267	63	-2	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	OAK	48%	110	97	21	4	1	1	10	27	2	1	1	210	295	302	597	93	271	25	9	274	68	-4	-0	+0	+1	+2	-0.1
2030	23	MLB CTX	OAK	54%	174	153	32	6	1	2	16	42	3	2	1	214	298	314	612	100	274	24	9	280	72	-6	+0	+0	+2	+4	-0.0
2031	24	MLB CTX	OAK	55%	216	191	41	8	1	3	20	51	3	3	1	217	301	324	625	107	276	24	9	285	75	-6	+0	+0	+2	+5	0.1
2032	25	MLB CTX	OAK	56%	241	214	48	9	2	4	22	57	3	3	1	220	303	331	634	111	278	24	9	288	77	-7	+0	+0	+3	+5	0.2
2033	26	MLB CTX	OAK	56%	253	224	49	9	2	4	23	60	4	3	1	220	303	332	635	112	277	24	9	289	78	-7	+0	+0	+3	+5	0.2
2034	27	MLB CTX	OAK	55%	253	224	49	9	2	4	23	60	4	3	1	219	302	329	631	111	277	24	9	287	77	-7	+0	+0	+3	+5	0.1
2035	28	MLB CTX	OAK	59%	269	238	51	9	2	4	25	65	4	3	2	217	300	325	625	108	276	24	9	285	75	-8	-0	-0	+3	+6	0.0
2036	29	MLB CTX	OAK	56%	250	222	48	9	1	4	23	61	3	2	2	214	297	319	616	104	275	24	9	281	73	-8	-0	-1	+3	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1812	1604	346	64	12	26	166	434	27	21	10	216	300	319	619	103	278	24	9	284	68	-55	+0	-1	+19	+39	0.3
/ 162G	—	A+C		—	650	575	124	23	4	9	60	156	10	8	4	216	301	317	618	101	278	24	9	284	68	-20	+0	-0	+7	+14	0.1
Career	—	MLE		—	3829	3367	680	112	22	55	366	903	64	48	24	202	292	297	590	95	258	24	10	269	68	-106	+1	-2	+36	+74	0.3
/ 162G	—	MLE		—	650	572	115	19	4	9	62	153	11	8	4	201	291	295	587	94	257	24	10	269	68	-20	+0	-0	+7	+14	0.1

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 DSLDSL Athletics · 160 PAwOBA .317 → .223 (−94)K% 15.0% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷1.000	×1.220	—	—	18.30%
BB% (unintentional) /PA	18.75%	÷1.000	×0.700	—	×0.995	13.06%
HBP% /PA	3.75%	—	×0.700	—	×0.995	2.61%
Singles /BIP	19.59%	÷1.000	×0.680	×1.046	×0.995	13.86%
Doubles /BIP	4.12%	÷1.000	×0.600	×1.046	×0.995	2.58%
Triples /BIP	0.00%	÷1.000	×0.600	×1.046	×0.995	0.00%
Home runs /BIP	2.06%	÷1.000	×0.470	—	×0.995	0.96%

Factors used: level-wide DSL 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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .317 → .223; ISO .083 → .048; BABIP .242 → .166. 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 DSLDSL Athletics · 166 PAwOBA .273 → .194 (−79)K% 16.3% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.27%	÷1.004	×1.220	—	—	19.76%
BB% (unintentional) /PA	16.27%	÷1.009	×0.700	—	×1.008	11.37%
HBP% /PA	3.61%	—	×0.700	—	×1.008	2.55%
Singles /BIP	16.83%	÷0.994	×0.680	×0.998	×1.008	11.58%
Doubles /BIP	3.96%	÷1.013	×0.600	×0.998	×1.008	2.36%
Triples /BIP	0.99%	÷0.900	×0.600	×0.998	×1.008	0.66%
Home runs /BIP	0.00%	÷0.868	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 99, 2B 103, 3B 80, K 101, BB 102 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .273 → .194; ISO .047 → .032; BABIP .214 → .143. 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 DSLDSL Athletics · 109 PAwOBA .274 → .204 (−70)K% 20.2% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.18%	÷0.991	×1.220	—	—	24.86%
BB% (unintentional) /PA	20.18%	÷0.994	×0.700	—	×1.022	14.53%
HBP% /PA	3.67%	—	×0.700	—	×1.022	2.63%
Singles /BIP	20.00%	÷0.975	×0.680	×1.050	×1.022	14.97%
Doubles /BIP	1.67%	÷0.951	×0.600	×1.050	×1.022	1.13%
Triples /BIP	0.00%	÷0.905	×0.600	×1.050	×1.022	0.00%
Home runs /BIP	0.00%	÷1.215	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 95, 2B 90, 3B 81, K 98, BB 99 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .274 → .204; ISO .012 → .009; BABIP .217 → .161. 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
#1Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#4Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,894	30	23	211	292	313	+20	+18	1.4	1.5
/162	664	10	8	+7.1	+6.3	0.5	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Brayan Cota (OGILVIE)	20	25	20	40	60	192/278/257	66	258	1	1	25%	9%	57	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Arrendell 2008 · A	20	37	35→30	39→50	51	172/251/226	54	210	3	5	19%	8%	39	-3.1	193/291/255	62	249	3	12	21%	11%	61	-1.5	201/272/282	81	263	7	9	25%	8%	56	-0.7
✕Kleininger Teran 2009 · A	20	42	34→30	43→45	55	195/275/245	51	236	2	5	17%	10%	52	-2.2	225/276/292	67	275	2	4	18%	6%	61	-1.5	240/283/308	67	288	1	2	16%	5%	64	-0.4
✕Michael De La Cruz 2016 · A	20	40	36→40	45→50	46	190/261/259	69	270	4	9	29%	8%	50	-2.3	191/256/256	65	306	3	10	35%	7%	47	-2.6	156/231/187	31	268	0	14	38%	8%	19	-1.5
✕Angel Acosta 2024 · A	21	42	38→40	40→50	48	201/276/279	78	249	5	5	20%	7%	60	-1.6	211/268/276	65	259	4	9	19%	6%	55	-1.9	219/273/273	54	263	4	11	17%	6%	55	-0.7
✕Sergio Burruel 2012 · A	21	43	35→30	42→30	47	201/278/262	61	281	3	4	27%	8%	57	-1.8	219/272/282	63	305	3	6	27%	6%	58	-1.7	247/310/316	70	302	6	1	19%	7%	78	-0.1
✕Raudelis Martinez 2022 · A	20	35	37→30	44→45	46	169/234/235	66	215	5	7	23%	7%	34	-3.5	180/260/257	77	220	6	8	20%	8%	49	-2.4	171/242/235	64	204	6	6	19%	8%	37	-1.6
✕Jose Perez 2023 · A	19	39	35→40	43→45	54	182/271/240	59	231	2	8	21%	10%	50	-2.3	194/308/276	82	256	4	6	23%	13%	73	-0.6	178/308/258	80	234	4	5	22%	14%	67	-0.4
✕Aaron Shipman 2013 · A	21	41→39	35→30	44→50	49	190/271/250	60	279	2	9	30%	10%	52	-2.2	227/310/295	68	314	2	16	25%	10%	76	-0.4	246/336/306	60	332	1	21	23%	11%	84	+0.1
✕Richard Paz 2021 · A	20	41	37→30	44→30	48	195/254/264	70	238	4	4	20%	7%	48	-2.5	213/288/303	90	284	7	3	26%	8%	70	-0.8	206/292/287	81	275	7	0	25%	8%	68	-0.4
✕Edilberto Mendoza 2019 · A	20	36	37→30	43→40	55	171/284/242	71	245	5	4	29%	12%	57	-1.8	184/293/263	79	246	4	5	24%	12%	64	-1.3	138/286/207	70	170	3	3	18%	15%	52	-0.7
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Luis Sierra 2007 · A	20	42	35→40	39→45	53	192/285/257	65	243	2	5	20%	9%	59	-1.6	206/270/289	83	242	7	8	17%	6%	60	-1.6	233/272/330	96	282	9	4	20%	5%	67	-0.4
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Alain Camou 2024 · A	20	46	35→30	44→50	50	215/284/281	66	275	2	7	21%	8%	63	-1.4	198/249/265	67	258	3	5	23%	6%	45	-2.7	142/168/182	41	171	0	0	16%	3%	-6	-1.2
✕Juan Zabala 2019 · A	20	37	34→40	43→50	51	173/260/225	52	223	1	7	22%	9%	42	-2.9	187/250/272	85	285	6	6	34%	6%	49	-2.4	205/266/287	81	283	8	16	29%	7%	55	-0.8
✕Daniel Vellojin 2019 · A	19	38	37→45	47→45	51	180/266/253	73	238	4	6	25%	10%	51	-2.2	200/296/287	87	250	6	8	20%	10%	70	-0.8	188/295/296	108	247	11	6	26%	12%	69	-0.4
✕Edidson Rojas 2019 · A	20	38	35→30	45→55	48	180/267/238	58	254	3	11	28%	9%	48	-2.5	186/261/260	74	276	4	10	31%	8%	51	-2.3	136/219/209	74	204	5	13	34%	8%	22	-1.3
✕Enmanuel Terrero 2022 · A	19	41	35→45	46→55	56	189/281/251	62	237	3	9	20%	11%	56	-1.9	216/292/302	86	304	6	14	28%	9%	71	-0.8	210/285/301	91	316	8	17	33%	9%	65	-0.5
✕Freizer Pedron 2007 · A	20	40	36→30	48→55	45	191/250/257	66	243	3	12	22%	6%	45	-2.7	211/279/276	65	274	2	16	22%	7%	60	-1.6	221/294/282	61	275	1	29	18%	7%	64	-0.5
✕Rudy van Heydoorn 2009 · A	20	36	39→40	42→50	52	178/287/262	84	243	7	10	28%	11%	62	-1.4	171/257/257	86	259	7	6	34%	9%	49	-2.4	134/224/213	79	200	8	2	35%	9%	27	-1.2

Brayan Cota

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps