Roldy Brito

3B Fresno Grizzlies

Age 20 S/R 5'11" / 183 lbs A HR +30%H +12% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP40OGV rank#384ETA2029MLB%4%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Colorado	222	.254/.367/.314	0	24	32	—	.171/.266/.207
2025	18	A/ROKCOL	365	.371/.446/.516	4	35	107	—	.296/.355/.399
2026	19	A+/A/INTL2 orgs	578	.307/.364/.452	10	41	95	—	.272/.318/.398
2027PROJMLE	20	MLBCOL	8	.240/.291/.358	0	0	71	-0.0
2028PROJ36% MLB	21	MLBCOL	181	.247/.300/.381	4	7	79	0.1
2029PROJ49% MLB	22	MLBCOL	264	.252/.307/.400	6	9	86	0.3

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$4M2033Arb-2$6M2034Arb-3$8M

Skills · percentileMiLB Statcast 2026 A+

Speed75

Whiff%54

K%45

Z-Con%42

ISO21

wOBA19

Career WAR0.2 WAR median (P10 -0.5 / P90 24, comp-based) · star 8% · didn't stick 60%

CompsMasyn Winn (age 20) · Dalton Pompey (age 21) · Jonatan Clase (age 20)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†71

AVG/OBP/SLG.240 / .291 / .358

PA8

HR0

K%25

BB%6

BABIP320

ISO108

MLB%4%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$11M ctrl surplus

Contract

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
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2030	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Arb-1	$4M	+0.8	$2M	+$0.1M
2033	Arb-2	$6M	+0.8	$2M	+$0.0M (cut)
2034	Arb-3	$8M	+0.7	$2M	+$0.0M (cut)
Totals		$6M		$11M	+$3M

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 Colorado	—	222	185	47	9	1	0	27	41	6	24	3	254	367	314	680	59	318	18	12	315	32	—	—	—	—	—	—
2025	18	A	Fresno Grizzlies	—	156	136	51	7	1	1	14	27	3	13	7	375	444	463	908	88	459	17	9	402	124	—	—	—	—	—	—
2025	18	ROK	ACL Rockies	—	209	182	67	13	6	3	22	42	4	22	7	368	447	555	1.002	187	464	20	11	438	95	—	—	—	—	—	—
2026	19	A+	Spokane Indians	—	175	165	43	9	0	2	9	44	0	23	2	261	299	352	650	91	345	25	5	291	48	—	—	—	—	—	—
2026	19	A	Fresno Grizzlies	—	378	336	110	20	8	8	31	64	6	18	8	327	394	506	900	179	381	17	8	392	116	—	—	—	—	—	—
2026	19	INTL	Gigantes del Cibao	—	25	23	8	1	0	0	1	4	0	0	0	348	375	391	766	43	421	16	4	333	111	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Colorado	—	222	193	33	5	1	0	19	48	6	24	3	171	266	207	473	36	208	22	9	216	32	—	—	—	—	—	—
2025	18	A MLE	Fresno Grizzlies	—	156	141	48	6	1	1	9	39	3	13	7	340	392	418	811	78	447	25	6	351	124	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rockies	—	209	190	50	9	4	2	14	61	4	22	7	263	327	384	711	121	367	29	7	309	95	—	—	—	—	—	—
2026	19	A+ MLE	Spokane Indians	—	175	167	37	7	0	2	7	59	0	23	2	222	253	299	552	78	332	34	4	239	48	—	—	—	—	—	—
2026	19	A MLE	Fresno Grizzlies	—	378	345	102	17	8	6	22	87	6	18	8	296	349	443	792	148	365	23	6	340	116	—	—	—	—	—	—
2024	17	ROK MLE	DSL Colorado	—	222	193	33	5	1	0	19	48	6	24	3	171	266	207	473	36	221	22	9	216	32	—	—	—	—	—	—
2024	17	ROK RAW	DSL Colorado	—	222	185	47	9	1	0	27	41	6	24	3	254	367	314	680	59	318	18	12	315	32	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	365	331	98	15	5	3	23	99	7	35	14	296	355	399	753	103	411	27	6	327	107	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	365	318	118	20	7	4	36	69	7	35	14	371	446	516	962	145	462	19	10	423	107	—	—	—	—	—	—
2026	19	A MLE	3 teams	—	578	535	145	26	8	8	30	153	6	41	10	271	317	394	711	123	362	26	5	308	95	—	—	—	—	—	—
2026	19	A RAW	3 teams	—	578	524	161	30	8	10	41	112	6	41	10	307	364	452	817	145	372	19	7	359	95	—	—	—	—	—	—
2024	17	ROK MLE	DSL Colorado	—	222	195	33	5	1	0	19	48	6	24	3	169	266	205	471	36	208	22	9	216	32	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	365	332	98	15	5	3	23	99	7	35	14	295	355	398	752	102	401	27	6	327	107	—	—	—	—	—	—
2026	19	A MLE	3 teams	—	578	537	145	26	8	8	30	153	6	41	10	270	317	393	710	123	355	26	5	308	95	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Colorado	—	222	195	33	5	1	0	19	48	6	24	3	169	266	205	471	36	208	22	9	216	32	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	365	332	98	15	5	3	23	99	7	35	14	295	355	398	752	102	401	27	6	327	107	—	—	—	—	—	—
2026	19	A MLE	3 teams	—	578	537	145	26	8	8	30	153	6	41	10	270	317	393	710	123	355	26	5	308	95	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	COL	4%	641	594	134	23	6	8	35	174	7	24	7	227	279	329	608	102	304	27	5	273	71	-22	+2	+0	+2	+14	0.0
▸ 2027 — real world (MLB)
2027	20	MLB CTX	COL	4%	8	8	1	0	0	0	0	2	0	0	0	240	291	358	648	118	320	25	0	289	71	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	COL	36%	504	463	109	19	5	9	30	133	6	19	5	233	287	350	637	117	304	26	6	285	79	-13	+2	+0	+2	+11	0.2
2029	22	MLB MLE	COL	49%	537	493	117	20	5	11	33	138	6	19	5	238	294	367	661	129	304	26	6	295	86	-9	+2	+0	+2	+12	0.7
2030	23	MLB MLE	COL	55%	571	524	126	22	5	13	36	143	6	19	5	241	299	378	677	137	304	25	6	301	90	-7	+2	+1	+2	+12	1.0
2031	24	MLB MLE	COL	56%	578	529	129	22	5	14	38	143	6	19	5	243	302	385	686	141	304	25	7	305	93	-5	+2	+1	+2	+13	1.3
2032	25	MLB MLE	COL	56%	590	538	132	23	5	15	40	145	7	18	5	244	304	388	691	144	304	25	7	307	94	-4	+2	+2	+2	+13	1.4
2033	26	MLB MLE	COL	56%	599	547	133	23	5	15	40	147	7	18	5	244	304	387	691	143	304	25	7	307	94	-4	+2	+2	+2	+13	1.4
2034	27	MLB MLE	COL	55%	596	545	133	23	5	15	40	147	6	17	5	243	302	384	687	142	303	25	7	305	93	-5	+1	+2	+2	+13	1.3
2035	28	MLB MLE	COL	55%	585	535	129	22	5	14	39	146	6	14	4	241	300	380	680	139	302	25	7	303	91	-6	+1	+1	+2	+13	1.1
2036	29	MLB MLE	COL	53%	568	519	123	21	4	13	38	143	6	12	4	238	297	373	670	135	300	25	7	299	88	-8	+1	+0	+2	+12	0.7
2037	30	MLB MLE	COL	53%	552	505	119	20	4	13	37	141	5	10	4	235	294	365	659	130	298	26	7	294	85	-10	+0	-1	+2	+12	0.4
2038	31	MLB MLE	COL	52%	534	489	113	19	4	11	35	139	5	8	4	231	288	355	643	124	295	26	7	288	81	-12	+0	-1	+2	+12	-0.0
2028	21	MLB CTX	COL	36%	181	166	41	7	2	4	11	48	2	7	2	247	300	381	681	134	321	27	6	302	79	-5	+1	+0	+1	+4	0.1
2029	22	MLB CTX	COL	49%	264	243	60	10	3	6	16	68	3	9	3	252	307	400	707	148	321	26	6	313	86	-5	+1	+0	+1	+6	0.3
2030	23	MLB CTX	COL	55%	311	284	73	12	4	8	20	78	4	11	3	256	312	412	723	156	321	25	6	319	90	-4	+1	+0	+1	+7	0.6
2031	24	MLB CTX	COL	56%	321	293	76	13	4	9	21	80	4	10	3	258	315	419	734	161	321	25	7	324	93	-3	+1	+1	+1	+7	0.7
2032	25	MLB CTX	COL	56%	331	302	78	13	4	9	22	81	4	10	3	258	317	422	739	164	321	24	7	326	94	-2	+1	+1	+1	+7	0.8
2033	26	MLB CTX	COL	56%	337	307	79	13	4	10	23	83	4	10	3	258	317	422	738	163	320	25	7	326	94	-2	+1	+1	+1	+7	0.8
2034	27	MLB CTX	COL	55%	330	301	77	13	4	9	22	82	4	9	3	257	316	418	734	161	320	25	7	324	93	-3	+1	+1	+1	+7	0.7
2035	28	MLB CTX	COL	55%	321	293	76	13	4	9	22	80	3	8	2	255	313	413	726	158	318	25	7	321	91	-3	+1	+0	+1	+7	0.6
2036	29	MLB CTX	COL	53%	303	277	70	12	3	8	20	76	3	7	2	252	310	405	715	154	316	25	7	316	88	-4	+1	+0	+1	+7	0.4
2037	30	MLB CTX	COL	53%	290	266	66	11	3	7	19	74	3	5	2	248	306	396	702	148	314	26	7	311	85	-5	+0	-0	+1	+6	0.2
2038	31	MLB CTX	COL	52%	278	255	62	10	3	7	18	72	3	4	2	243	300	385	685	141	310	26	6	304	81	-6	+0	-1	+1	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3267	2987	758	127	38	86	214	822	37	90	28	254	312	408	720	154	320	25	7	318	88	-43	+7	+3	+12	+71	5.1
/ 162G	—	A+C		—	650	594	151	25	8	17	43	164	7	18	6	254	312	409	721	155	321	25	7	318	88	-8	+1	+1	+2	+14	1.0
Career	—	MLE		—	7589	6940	1684	288	68	157	490	1922	87	281	80	243	301	372	672	129	311	25	6	298	88	-91	+15	+6	+23	+139	9.4
/ 162G	—	MLE		—	650	594	144	25	6	13	42	165	7	24	7	242	300	370	670	128	312	25	6	298	88	-9	+2	+1	+2	+14	0.9

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 AFresno Grizzlies · 378 PAwOBA .386 → .340 (−46)K% 16.9% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.93%	÷1.000	×1.360	—	—	23.03%
BB% (unintentional) /PA	8.20%	÷1.000	×0.690	—	×1.045	5.91%
HBP% /PA	1.59%	—	×0.780	—	×1.045	1.29%
Singles /BIP	27.21%	÷1.000	×0.920	×1.023	×1.045	26.75%
Doubles /BIP	7.35%	÷1.000	×0.830	×1.023	×1.045	6.52%
Triples /BIP	2.94%	÷1.000	×0.910	×1.023	×1.045	2.86%
Home runs /BIP	2.94%	÷1.000	×0.800	—	×1.045	2.46%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .386 → .340; ISO .179 → .154; BABIP .381 → .365. 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 A+Spokane Indians · 175 PAwOBA .283 → .239 (−45)K% 25.1% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.14%	÷1.000	×1.350	—	—	33.94%
BB% (unintentional) /PA	5.14%	÷1.000	×0.710	—	×1.050	3.83%
HBP% /PA	0.00%	—	×0.810	—	×1.050	0.00%
Singles /BIP	26.45%	÷1.000	×0.910	×1.029	×1.050	26.01%
Doubles /BIP	7.44%	÷1.000	×0.830	×1.029	×1.050	6.67%
Triples /BIP	0.00%	÷1.000	×0.820	×1.029	×1.050	0.00%
Home runs /BIP	1.65%	÷1.000	×0.830	—	×1.050	1.44%

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 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .283 → .239; ISO .091 → .073; BABIP .345 → .332. 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 ROKACL Rockies · 209 PAwOBA .429 → .309 (−121)K% 20.1% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.10%	÷0.993	×1.440	—	—	29.15%
BB% (unintentional) /PA	10.53%	÷0.987	×0.620	—	×1.022	6.76%
HBP% /PA	1.91%	—	×0.720	—	×1.022	1.41%
Singles /BIP	32.14%	÷1.021	×0.820	×1.008	×1.022	26.61%
Doubles /BIP	9.29%	÷0.991	×0.720	×1.008	×1.022	6.95%
Triples /BIP	4.29%	÷1.150	×0.720	×1.008	×1.022	2.77%
Home runs /BIP	2.14%	÷0.970	×0.780	—	×1.022	1.76%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 104, 2B 98, 3B 130, K 99, BB 97 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .429 → .309; ISO .187 → .128; BABIP .464 → .367. 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 AFresno Grizzlies · 156 PAwOBA .394 → .351 (−43)K% 17.3% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.31%	÷0.951	×1.360	—	—	24.74%
BB% (unintentional) /PA	8.97%	÷1.096	×0.690	—	×1.050	5.93%
HBP% /PA	1.92%	—	×0.780	—	×1.050	1.58%
Singles /BIP	38.53%	÷1.022	×0.920	×1.050	×1.050	38.25%
Doubles /BIP	6.42%	÷1.055	×0.830	×1.050	×1.050	5.57%
Triples /BIP	0.92%	÷1.017	×0.910	×1.050	×1.050	0.91%
Home runs /BIP	0.92%	÷0.870	×0.800	—	×1.050	0.89%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 104, 2B 111, 3B 103, K 90, BB 119 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .394 → .351; ISO .088 → .078; BABIP .459 → .447. 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 Colorado · 222 PAwOBA .313 → .216 (−97)K% 18.5% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.47%	÷1.054	×1.220	—	—	21.38%
BB% (unintentional) /PA	12.16%	÷0.998	×0.700	—	×1.022	8.72%
HBP% /PA	2.70%	—	×0.700	—	×1.022	1.93%
Singles /BIP	25.69%	÷1.014	×0.680	×1.001	×1.022	17.64%
Doubles /BIP	6.25%	÷1.186	×0.600	×1.001	×1.022	3.24%
Triples /BIP	0.69%	÷0.916	×0.600	×1.001	×1.022	0.47%
Home runs /BIP	0.00%	÷1.038	×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 108, 1B 103, 2B 137, 3B 83, K 111, BB 100 — 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 ×1.001.

Result: wOBA .313 → .216; ISO .059 → .034; BABIP .318 → .208. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rougned 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
#2Horace Clarke'65-'74 * career totals — 10 seasons, 5,242 PA	7.9	5,242	27	151	264*	314*	351*	+20	+26	13.3	13.4
/162	664	3	19	+2.6	+3.3	1.7	pk7: 14
#3Dick Green'63-'74 * career totals — 10 seasons, 4,462 PA	6.7	4,462	80	26	246*	308*	382*	+16	+18	11.8	12.8
/162	664	12	4	+2.4	+2.7	1.8	pk7: 14
#4Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.9	3,277	77	91	241	296	377	+12	+11	6.8	6.2
/162	664	16	18	+2.4	+2.2	1.4	pk7: 6
#5Damian 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
#6Hernán Pérezlast yr '19 career totals — 6 seasons, 1,811 PA	2.7	1,811	45	69	252	281	387	-0	+12	3.7	3.7
/162	664	16	25	-0.0	+4.5	1.3	pk7: 4

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
Roldy Brito (OGILVIE)	20	—	—	—	—	225/276/326	101	304	3	8	27%	6%	71	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Masyn Winn 2022 · A	20	43→53	40→50	57→55	43	207/267/301	93	294	6	22	30%	7%	61	-1.5	237/294/369	132	297	12	21	23%	7%	86	+0.3	245/302/388	143	293	14	19	20%	7%	93	+0.8
✕Dalton Pompey 2014 · A	21	45→55	40→45	57→55	45	215/282/314	100	299	6	21	29%	8%	70	-0.9	257/316/365	108	333	7	26	23%	8%	93	+0.8	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Jonatan Clase 2022 · A	20	43→48	40→50	59→65	47	205/283/296	91	289	7	26	30%	9%	66	-1.1	211/287/356	145	315	14	39	35%	9%	82	-0.0	210/288/361	151	303	15	47	33%	9%	81	-0.0
✕Roman Quinn 2014 · A	21	44→54	42→45	56→65	41	216/274/320	104	292	10	26	29%	6%	68	-1.0	246/305/348	102	331	8	33	26%	7%	86	+0.3	262/322/362	100	352	7	42	26%	7%	92	+0.4
●Abraham Almonte 2010 · A	21	47→55	40→55	58→55	42	228/272/327	99	295	7	20	25%	6%	68	-1.0	240/289/339	99	316	5	22	24%	6%	77	-0.3	259/316/379	120	330	8	25	22%	7%	94	+0.8
✕Billy Hamilton 2011 · A	20	44→54	37→40	62→70	39	206/251/284	77	291	3	28	29%	5%	50	-2.3	240/292/314	74	335	3	63	27%	7%	72	-0.7	252/305/341	89	324	4	80	22%	7%	81	-0.1
✕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
✕Tyler Goeddel 2014 · A	21	44→52	41→45	59→55	40	211/262/313	103	297	7	20	30%	6%	61	-1.5	227/284/341	114	305	9	18	27%	7%	76	-0.4	229/290/345	116	300	9	18	25%	7%	78	-0.2
✕Taylor Trammell 2018 · A	20	46→48	42→55	57→55	44	221/281/328	107	312	8	21	30%	8%	72	-0.7	211/286/306	95	305	8	18	31%	9%	70	-0.8	213/300/386	173	283	21	17	31%	10%	93	+0.5
✕Forrest Wall 2016 · A	20	48→55	42→45	58→70	46	229/285/342	114	291	8	18	24%	7%	77	-0.3	223/277/319	96	299	8	18	26%	6%	69	-0.9	250/321/350	101	344	8	50	27%	8%	89	+0.3
✕Rey Fuentes 2011 · A	20	49→59	37→40	59→60	38	229/271/306	77	310	4	25	27%	4%	63	-1.4	234/286/317	83	328	5	27	28%	6%	72	-0.7	283/333/378	95	362	7	33	22%	6%	99	+0.9
✕Jose Salas 2023 · A	20	45→43	41→45	57→55	43	219/287/318	99	297	9	21	28%	7%	73	-0.6	191/248/277	86	282	7	20	33%	6%	49	-2.4	173/229/282	108	262	12	23	37%	5%	41	-1.6
✕Ian Lewis Jr. 2023 · A	20	48→41	40→45	57→60	43	226/281/324	98	306	7	17	27%	6%	72	-0.7	215/273/311	96	289	7	22	26%	7%	65	-1.2	205/264/312	107	257	10	33	24%	7%	60	-0.9
✕Derek Hill 2016 · A	20	43→52	37→55	58→60	44	205/261/281	76	275	4	24	26%	7%	53	-2.1	203/253/276	73	315	3	27	34%	6%	49	-2.4	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Leury García 2011 · A	20	50→60	36→45	58→60	40	234/270/294	60	307	4	28	24%	4%	59	-1.7	240/275/318	78	328	4	27	27%	4%	67	-1.1	281/320/390	109	351	9	28	22%	4%	99	+0.8
✕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
✕Luisangel Acuña 2022 · A	20	46→56	43→45	55→60	44	224/285/329	105	303	11	25	29%	7%	74	-0.5	247/299/356	109	328	10	34	26%	7%	85	+0.2	257/304/361	104	328	9	39	23%	6%	84	+0.2
●Esteury Ruiz 2019 · A	20	43→53	42→50	59→70	36	207/258/320	113	315	9	26	36%	5%	62	-1.4	208/261/320	112	309	11	30	34%	6%	63	-1.3	268/342/400	133	331	12	74	21%	6%	111	+1.5
✕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
✕Alen Hanson 2012 · A	19	44→53	38→50	57→60	45	209/264/300	92	257	4	19	20%	6%	59	-1.6	242/290/382	140	307	10	20	23%	6%	88	+0.4	250/295/399	149	313	11	21	23%	5%	90	+0.5

Roldy Brito

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps