Angel Brachi

IF FCL Marlins

Age 20 R/R 5'10" / 165 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1932ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKTB	206	.247/.351/.276	0	18	28	—	.180/.277/.202
2025	18	ROKDSL Tampa Bay	228	.337/.455/.408	0	17	72	—	.229/.339/.271
2026	19	A/ROKMIA	98	.300/.429/.338	0	9	64	—	.235/.327/.258
2027PROJMLE	20	MLBMIA	208	.218/.286/.285	1	5	64	-0.1
2028PROJ34% MLB	21	MLBMIA	44	.217/.286/.293	0	1	71	-0.0
2029PROJ48% MLB	22	MLBMIA	106	.220/.290/.307	1	3	76	-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

Z-Con%87

wRC+82

wOBA74

Whiff%74

K%69

BB%65

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsDerrik Gibson (age 20) · Isiah Kiner-Falefa (age 20) · Nick Morabito (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 63 proj PA

wRC+†64

AVG/OBP/SLG.216 / .284 / .283

PA63

HR0

K%25

BB%7

ISO67

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 60 / POW 20

Toolsscout grade

CONTACT60

scouting grade only

POWER20

scouting grade only

EYE40

scouting grade only

SPEED60

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 Rays	—	206	174	43	3	1	0	12	31	16	18	8	247	351	276	627	29	297	15	6	296	28	—	—	—	—	—	—
2025	18	ROK	DSL Tampa Bay	—	228	184	62	9	2	0	26	18	14	17	5	337	455	408	863	71	371	8	11	392	72	—	—	—	—	—	—
2026	19	A	Jupiter Hammerheads	—	18	17	2	0	0	0	1	6	0	1	0	118	167	118	284		182	33	6	139	-42	—	—	—	—	—	—
2026	19	ROK	FCL Marlins	—	80	63	22	3	0	0	15	15	2	8	1	349	487	397	884	48	458	19	19	412	88	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rays	—	206	178	32	2	1	0	8	38	16	18	8	180	277	202	479	22	209	18	4	210	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	228	192	44	6	1	0	18	22	14	17	5	229	339	271	610	42	251	10	8	275	72	—	—	—	—	—	—
2026	19	A MLE	Jupiter Hammerheads	—	18	17	2	0	0	0	1	8	0	1	0	118	167	118	284		175	44	6	106	-42	—	—	—	—	—	—
2026	19	ROK MLE	FCL Marlins	—	80	69	18	2	0	0	9	22	2	8	1	261	362	290	652	29	372	28	11	299	88	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rays	—	206	178	32	2	1	0	8	38	16	18	8	180	277	202	479	22	225	18	4	210	28	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rays	—	206	174	43	3	1	0	12	31	16	18	8	247	351	276	627	29	297	15	6	296	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	228	192	44	6	1	0	18	22	14	17	5	229	339	271	610	42	257	10	8	275	72	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tampa Bay	—	228	184	62	9	2	0	26	18	14	17	5	337	455	408	863	71	371	8	11	392	72	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	98	86	19	2	0	0	10	30	2	9	1	221	316	244	561	23	339	31	10	264	65	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	98	80	24	3	0	0	16	21	2	9	1	300	429	338	766	38	407	21	16	362	65	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rays	—	206	180	32	2	1	0	8	38	16	18	8	178	277	200	477	22	209	18	4	210	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	228	194	44	6	1	0	18	22	14	17	5	227	339	268	607	41	251	10	8	275	72	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	98	86	19	2	0	0	10	30	2	9	1	221	316	244	561	23	336	31	10	264	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rays	—	206	180	32	2	1	0	8	38	16	18	8	178	277	200	477	22	209	18	4	210	28	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	228	194	44	6	1	0	18	22	14	17	5	227	339	268	607	41	251	10	8	275	72	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	98	86	19	2	0	0	10	30	2	9	1	221	316	244	561	23	336	31	10	264	65	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIA	0%	208	188	41	7	1	1	14	52	4	5	1	218	286	285	571	67	292	25	7	263	64	-9	+1	+0	+0	+5	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIA	34%	128	115	26	4	1	1	9	32	3	3	1	223	292	305	597	81	293	25	7	273	71	-4	+0	+0	+0	+3	-0.2
2029	22	MLB MLE	MIA	48%	219	198	45	7	1	3	15	53	4	5	1	227	297	320	616	92	294	24	7	280	76	-6	+1	+0	+0	+5	-0.1
2030	23	MLB MLE	MIA	54%	312	281	65	10	2	5	22	75	6	8	2	230	300	331	631	101	295	24	7	286	80	-8	+1	+0	+0	+7	0.0
2031	24	MLB MLE	MIA	55%	382	345	79	13	2	6	27	91	7	9	2	233	302	340	642	107	295	24	7	290	83	-8	+1	+0	+0	+8	0.1
2032	25	MLB MLE	MIA	56%	422	380	90	15	3	8	31	101	8	10	2	234	304	345	649	111	295	24	7	293	85	-8	+1	+0	+0	+9	0.3
2033	26	MLB MLE	MIA	56%	443	400	93	15	3	8	32	106	8	11	2	234	304	346	650	112	295	24	7	294	85	-8	+1	+0	+0	+10	0.3
2034	27	MLB MLE	MIA	55%	451	407	95	15	3	8	33	108	8	11	3	233	303	344	647	111	295	24	7	292	84	-9	+1	+0	+0	+10	0.2
2035	28	MLB MLE	MIA	55%	451	407	94	15	3	8	33	109	8	10	2	231	301	339	640	108	294	24	7	289	82	-10	+1	-1	+0	+10	0.1
2036	29	MLB MLE	MIA	53%	441	398	91	15	2	7	32	108	8	9	2	229	298	333	631	104	292	24	7	286	80	-11	+1	-1	+0	+10	-0.2
2028	21	MLB CTX	MIA	34%	44	40	8	1	0	0	3	11	1	1	0	217	286	293	579	76	284	25	7	265	71	-2	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	MIA	48%	106	96	21	3	1	1	7	26	2	3	1	220	290	307	597	86	285	25	7	273	76	-3	+0	+0	+0	+2	-0.1
2030	23	MLB CTX	MIA	54%	169	152	34	5	1	2	12	41	3	4	1	223	293	317	611	94	286	24	7	278	80	-4	+0	+0	+0	+4	-0.0
2031	24	MLB CTX	MIA	55%	212	191	43	7	1	3	15	51	4	5	1	226	296	326	622	100	286	24	7	282	83	-4	+1	+0	+0	+5	0.1
2032	25	MLB CTX	MIA	56%	236	213	47	7	1	4	17	56	4	6	1	227	297	331	628	104	286	24	7	285	85	-4	+1	+0	+0	+5	0.2
2033	26	MLB CTX	MIA	56%	249	225	50	8	1	4	18	59	4	6	1	227	297	332	629	105	286	24	7	285	85	-4	+1	+0	+0	+5	0.2
2034	27	MLB CTX	MIA	55%	249	225	50	8	1	4	18	60	4	6	1	226	296	329	626	104	286	24	7	284	84	-5	+1	+0	+0	+5	0.1
2035	28	MLB CTX	MIA	55%	247	223	50	8	1	4	18	60	4	5	1	224	295	325	619	101	285	24	7	281	82	-5	+1	-0	+0	+5	0.0
2036	29	MLB CTX	MIA	53%	236	213	47	7	1	4	17	58	4	5	1	222	292	319	611	97	284	25	7	278	80	-6	+1	-1	+0	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1748	1578	350	54	8	26	125	422	30	41	8	222	291	316	607	94	285	24	7	281	77	-38	+5	-1	+0	+38	0.4
/ 162G	—	A+C		—	650	587	130	20	3	10	46	157	11	15	3	221	290	317	607	95	284	24	7	281	77	-14	+2	-0	+0	+14	0.2
Career	—	MLE		—	3844	3445	785	121	22	54	274	889	93	121	31	228	302	323	625	95	290	23	7	283	77	-74	+9	-2	+0	+72	0.5
/ 162G	—	MLE		—	650	583	132	20	4	9	46	150	16	20	5	226	301	321	622	94	288	23	7	283	77	-14	+2	-0	+0	+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 ROKFCL Marlins · 80 PAwOBA .403 → .299 (−104)K% 18.8% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.000	×1.440	—	—	27.00%
BB% (unintentional) /PA	18.75%	÷1.000	×0.620	—	×1.008	11.71%
HBP% /PA	2.50%	—	×0.720	—	×1.008	1.81%
Singles /BIP	39.58%	÷1.000	×0.820	—	×1.008	32.70%
Doubles /BIP	6.25%	÷1.000	×0.720	—	×1.008	4.53%
Triples /BIP	0.00%	÷1.000	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.008	0.00%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .403 → .299; ISO .048 → .034; BABIP .458 → .372. 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 AJupiter Hammerheads · 18 PAwOBA .136 → .106 (−31)K% 33.3% → 45.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.000	×1.360	—	—	45.33%
BB% (unintentional) /PA	5.56%	÷1.000	×0.690	—	×1.045	4.01%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	18.18%	÷1.000	×0.920	—	×1.045	17.48%
Doubles /BIP	0.00%	÷1.000	×0.830	—	×1.045	0.00%
Triples /BIP	0.00%	÷1.000	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	0.00%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .136 → .106; ISO .000 → .000; BABIP .182 → .175. 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 Tampa Bay · 228 PAwOBA .384 → .275 (−109)K% 7.9% → 9.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.89%	÷1.005	×1.220	—	—	9.59%
BB% (unintentional) /PA	11.40%	÷1.011	×0.700	—	×1.008	7.95%
HBP% /PA	6.14%	—	×0.700	—	×1.008	4.33%
Singles /BIP	30.72%	÷1.054	×0.680	×1.050	×1.008	20.96%
Doubles /BIP	5.42%	÷0.944	×0.600	×1.050	×1.008	3.65%
Triples /BIP	1.20%	÷1.150	×0.600	×1.050	×1.008	0.66%
Home runs /BIP	0.00%	÷0.952	×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 90, 1B 111, 2B 89, 3B 130, 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 ×1.050.

Result: wOBA .384 → .275; ISO .071 → .048; BABIP .371 → .251. 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 Rays · 206 PAwOBA .289 → .210 (−79)K% 15.0% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.05%	÷1.004	×1.220	—	—	18.28%
BB% (unintentional) /PA	5.34%	÷0.985	×0.700	—	×1.022	3.88%
HBP% /PA	7.77%	—	×0.700	—	×1.022	5.56%
Singles /BIP	27.27%	÷0.994	×0.680	×1.020	×1.022	19.46%
Doubles /BIP	2.10%	÷1.053	×0.600	×1.020	×1.022	1.25%
Triples /BIP	0.70%	÷0.900	×0.600	×1.020	×1.022	0.49%
Home runs /BIP	0.00%	÷1.160	×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 132, 1B 99, 2B 111, 3B 80, K 101, BB 97 — 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 ×1.020.

Result: wOBA .289 → .210; ISO .029 → .019; BABIP .297 → .209. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#3Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#4Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.7	1,812	30	42	232	298	338	+0	+0	1.5	1.5
/162	664	11	16	+0.0	+0.0	0.5	pk7: 2
#5Phil Linz'62-'68 * career totals — 7 seasons, 1,518 PA	2.3	1,518	11	13	238*	301*	338*	+10	-0	0.7	0.7
/162	664	5	6	+4.3	-0.2	0.3	pk7: 1
#6Joe McEwing'98-'06 * career totals — 7 seasons, 1,963 PA	3.0	1,963	25	33	240*	289*	341*	-4	+8	-1.1	-0.3
/162	664	8	11	-1.2	+2.9	-0.4	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
Angel Brachi (OGILVIE)	20	60	20	60	40	216/284/283	67	292	0	1	25%	7%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Derrik Gibson 2010 · A	20	48→56	37→40	56→55	45	224/290/300	76	303	3	16	26%	7%	70	-0.9	206/266/261	55	280	1	18	25%	7%	51	-2.3	246/312/318	73	319	3	11	22%	8%	79	-0.1
✕Isiah Kiner-Falefa 2015 · A	20	48→58	34→40	50→55	44	226/277/276	51	291	2	11	23%	6%	58	-1.7	252/304/303	51	305	2	9	17%	5%	74	-0.5	265/312/343	78	301	6	21	14%	5%	87	+0.3
✕Nick Morabito 2024 · A	21	48→58	37→40	55→65	44	217/297/293	76	324	4	18	32%	8%	71	-0.8	250/316/335	85	345	6	36	27%	7%	87	+0.4	255/322/343	88	346	7	42	26%	7%	88	+0.4
✕Johan Rojas 2021 · A	20	46→56	37→45	51→65	45	215/269/298	83	268	3	11	20%	6%	61	-1.5	227/275/338	111	290	9	31	24%	5%	72	-0.7	260/302/359	100	326	7	41	21%	5%	85	+0.2
✕Nick Allen 2019 · A	20	43→53	35→40	52→50	42	200/249/258	58	260	2	14	23%	5%	44	-2.8	223/272/312	89	287	5	14	23%	6%	65	-1.2	253/316/328	75	310	5	13	19%	8%	84	+0.1
✕Evan Crawford 2010 · A	21	45→55	36→40	56→55	39	211/258/278	67	304	3	16	30%	6%	51	-2.2	233/275/316	83	328	3	18	28%	4%	67	-1.1	241/284/326	85	338	3	21	28%	4%	68	-0.9
✕Lorenzo Cedrola 2018 · A	20	50→60	37→45	51→50	40	235/276/311	76	279	4	15	17%	3%	66	-1.1	239/278/313	74	292	3	16	18%	3%	67	-1.1	257/302/356	100	301	7	16	17%	3%	83	+0.0
✕Abiatal Avelino 2015 · A	20	48→54	37→45	54→55	45	226/278/307	81	281	4	18	20%	6%	66	-1.1	236/280/321	85	295	5	22	21%	5%	70	-0.9	253/294/359	106	312	9	19	21%	5%	80	-0.1
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Cooper Pratt 2024 · A	19	49→52	37→40	54→55	41	226/288/305	78	332	4	11	31%	6%	70	-0.9	228/299/323	95	293	8	23	23%	8%	78	-0.3	229/306/324	95	284	8	29	21%	9%	81	-0.1
●L.J. Hoes 2010 · A	20	50→60	36→40	51→50	42	237/277/298	61	302	3	13	22%	5%	63	-1.4	260/313/341	81	327	5	13	20%	7%	86	+0.3	288/348/379	91	345	5	15	17%	8%	105	+1.7
✕Eury Pérez 2010 · A	20	51→61	38→40	54→65	48	241/306/317	75	289	5	19	18%	7%	79	-0.2	271/304/332	61	335	3	34	19%	4%	80	-0.1	300/333/376	75	363	4	37	18%	3%	96	+0.8
✕Brandon Short 2009 · A	20	45→54	37→45	49→50	41	210/270/288	78	284	3	14	26%	6%	59	-1.6	242/286/355	113	326	10	10	27%	4%	80	-0.1	250/292/374	124	332	11	11	27%	4%	84	+0.2
●Michael Reed 2014 · A	21	51→61	36→45	56→55	45	229/294/309	80	338	2	15	31%	8%	72	-0.7	225/309/325	100	322	5	21	28%	10%	82	+0.0	220/309/321	102	329	11	16	33%	10%	80	-0.1
✕Tito Polo 2015 · A	20	43→53	39→45	54→60	42	206/268/296	90	278	5	17	27%	6%	61	-1.5	222/276/320	98	295	8	26	26%	5%	69	-0.9	235/290/350	114	311	11	32	27%	5%	78	-0.2
✕Isaias Velasquez 2009 · A	21	46→56	34→40	54→55	47	213/274/267	54	268	2	19	20%	7%	55	-1.9	244/294/325	81	309	2	16	20%	6%	76	-0.4	253/305/340	87	316	2	19	19%	6%	80	-0.1
✕Che-Hsuan Lin 2009 · A	20	44→54	41→40	58→55	45	214/276/316	101	271	7	21	23%	6%	68	-1.0	239/308/317	78	289	5	20	18%	8%	80	-0.2	245/318/310	65	292	4	22	16%	8%	79	-0.2
✕Yoyner Fajardo 2019 · A	20	46→56	37→40	57→60	51	211/279/293	82	248	2	14	16%	8%	63	-1.3	227/286/295	68	281	2	19	19%	6%	67	-1.1	260/318/350	90	329	5	34	21%	7%	87	+0.2
✕Allen Córdoba 2017 · A	21	52→51	36→45	55	46	242/289/315	73	283	2	17	15%	5%	72	-0.7	221/273/309	88	288	6	13	24%	5%	65	-1.2	233/296/332	99	290	8	22	21%	5%	77	-0.2
✕Jorge Barrosa 2021 · A	20	46→52	38→45	55	45	218/283/303	84	283	5	18	24%	6%	68	-1.0	233/297/347	114	294	9	19	23%	7%	83	+0.1	234/307/360	127	282	11	18	20%	9%	86	+0.3

Angel Brachi

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps