Brailer Guerrero

RF Charleston RiverDogs

Age 21 L/R 6'2" / 215 lbs A HR -6%H +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1374ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKTB	126	.330/.452/.466	2	13	82	—	.225/.317/.297
2025	19	A/INTL2 orgs	249	.230/.324/.364	6	11	57	—	.212/.284/.328
2026	20	ATB	206	.215/.335/.343	5	6	51	—	.177/.266/.276
2027PROJMLE	21	MLBTB	316	.212/.290/.338	7	6	78	-0.1
2028PROJ34% MLB	22	MLBTB	57	.220/.298/.361	2	1	86	-0.0
2029PROJ48% MLB	23	MLBTB	123	.226/.304/.378	4	2	92	0.0

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

BB%70

Chase%58

ISO48

wRC+40

wOBA36

K%22

Career WAR0.0 WAR median (P10 -0.0 / P90 0.3, comp-based) · star 0% · didn't stick 94%

CompsAbimelec Ortiz (age 21) · Will Benson (age 21) · Jack Suwinski (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 119 proj PA

wRC+†78

AVG/OBP/SLG.210 / .288 / .335

PA119

HR3

K%29

BB%9

ISO126

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Contract

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	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.7M	—	—	—
2037	Arb-3	$7M	—	—	—
Totals		$3M		$2M	+$0.6M

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)
2023	17	ROK	DSL Rays	—	29	23	6	3	0	0	4	6	1	0	1	261	393	391	784	130	333	21	14	348	53	—	—	—	—	—	—
2024	18	ROK	FCL Rays	—	126	103	34	4	2	2	22	32	1	13	3	330	452	466	918	136	464	25	17	414	82	—	—	—	—	—	—
2025	19	A	Charleston RiverDogs	—	220	191	48	7	2	6	25	64	2	9	1	251	344	403	747	152	341	29	11	334	67	—	—	—	—	—	—
2025	19	INTL	Mesa Solar Sox	—	29	26	2	0	0	0	3	16	0	2	0	77	172	77	249		200	55	10	135	-23	—	—	—	—	—	—
2026	20	A	Charleston RiverDogs	—	206	172	37	7	0	5	30	62	1	6	1	215	335	343	678	128	296	30	15	309	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Rays	—	29	24	4	2	0	0	3	7	1	0	1	167	286	250	536	83	219	24	10	246	53	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	126	111	25	3	1	1	14	47	1	13	3	225	317	297	615	72	389	37	11	289	82	—	—	—	—	—	—
2025	19	A MLE	Charleston RiverDogs	—	220	198	42	7	2	4	18	86	2	9	1	212	284	328	613	116	338	39	8	267	67	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	206	181	32	6	0	4	21	84	1	6	1	177	266	276	542	99	284	41	10	244	51	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	29	24	4	2	0	0	3	7	1	0	1	167	286	250	536	83	222	24	10	246	53	—	—	—	—	—	—
2023	17	ROK RAW	DSL Rays	—	29	23	6	3	0	0	4	6	1	0	1	261	393	391	784	130	333	21	14	348	53	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	126	111	25	3	1	1	14	47	1	13	3	225	317	297	615	72	381	37	11	289	82	—	—	—	—	—	—
2024	18	ROK RAW	FCL Rays	—	126	103	34	4	2	2	22	32	1	13	3	330	452	466	918	136	464	25	17	414	82	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	249	224	47	8	2	4	21	98	2	11	1	210	283	317	600	107	347	39	8	267	67	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	249	217	50	7	2	6	28	80	2	11	1	230	324	364	688	134	331	32	11	311	67	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	206	181	32	6	0	4	21	84	1	6	1	177	266	276	542	99	292	41	10	244	51	—	—	—	—	—	—
2026	20	A RAW	Charleston RiverDogs	—	206	172	37	7	0	5	30	62	1	6	1	215	335	343	678	128	296	30	15	309	51	—	—	—	—	—	—
2023	17	ROK MLE	DSL Rays	—	29	25	4	2	0	0	3	7	1	0	1	160	286	240	526	80	219	24	10	246	53	—	—	—	—	—	—
2024	18	ROK MLE	FCL Rays	—	126	110	25	3	1	1	14	47	1	13	3	227	317	300	617	73	389	37	11	289	82	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	249	224	47	8	2	4	21	98	2	11	1	210	283	317	600	107	338	39	8	267	67	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	206	182	32	6	0	4	21	84	1	6	1	176	266	275	541	99	284	41	10	244	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	FCL Rays	—	126	110	25	3	1	1	14	47	1	13	3	227	317	300	617	73	389	37	11	289	82	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	249	224	47	8	2	4	21	98	2	11	1	210	283	317	600	107	338	39	8	267	67	—	—	—	—	—	—
2026	20	A MLE	Charleston RiverDogs	—	206	182	32	6	0	4	21	84	1	6	1	176	266	275	541	99	284	41	10	244	51	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	316	281	59	11	1	7	29	90	3	6	1	212	290	338	628	126	281	28	9	284	78	-8	+1	-1	-3	+7	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	167	149	33	6	1	5	15	47	1	3	1	219	297	362	659	143	283	28	9	296	86	-3	+0	-1	-2	+4	-0.1
2029	23	MLB MLE	TB	48%	254	227	51	9	1	8	23	70	2	5	1	224	302	380	682	156	284	28	9	305	92	-2	+1	-1	-3	+6	0.0
2030	24	MLB MLE	TB	53%	336	299	68	12	2	11	31	91	3	6	1	228	306	393	699	164	286	27	9	311	97	-1	+1	-1	-4	+7	0.3
2031	25	MLB MLE	TB	55%	380	339	78	14	2	13	35	102	3	6	1	231	309	401	710	170	287	27	9	316	100	-0	+1	-0	-4	+8	0.5
2032	26	MLB MLE	TB	56%	404	361	84	15	2	15	37	107	3	7	2	233	310	407	717	174	287	26	9	318	101	+1	+1	-0	-4	+9	0.6
2033	27	MLB MLE	TB	55%	414	370	86	15	2	15	38	111	3	7	2	232	309	404	713	172	286	27	9	317	100	+0	+1	-0	-4	+9	0.5
2034	28	MLB MLE	TB	55%	416	372	86	15	2	15	38	112	3	6	2	230	307	399	706	169	285	27	9	314	99	-1	+0	-1	-4	+9	0.3
2035	29	MLB MLE	TB	53%	407	364	83	15	2	14	37	111	3	5	2	227	304	393	697	165	284	27	9	310	96	-2	+0	-2	-4	+9	0.1
2036	30	MLB MLE	TB	53%	397	355	80	14	2	13	36	109	3	5	2	224	301	384	685	160	281	27	9	305	93	-3	+0	-2	-4	+9	-0.1
2037	31	MLB MLE	TB	52%	381	341	74	13	1	12	34	106	3	3	2	220	296	374	670	155	278	28	9	299	89	-5	-0	-3	-4	+8	-0.4
2028	22	MLB CTX	TB	34%	57	52	11	2	0	2	5	16	0	1	0	220	298	361	659	140	286	28	9	296	86	-1	+0	-0	-1	+1	-0.0
2029	23	MLB CTX	TB	48%	123	110	25	4	1	4	11	34	1	2	0	226	304	378	682	152	287	28	9	305	92	-1	+0	-0	-1	+3	0.0
2030	24	MLB CTX	TB	53%	177	158	36	6	1	6	16	48	1	3	1	230	308	391	698	161	289	27	9	311	97	-1	+0	-0	-2	+4	0.1
2031	25	MLB CTX	TB	55%	208	185	42	7	1	7	19	56	2	4	1	232	310	399	709	167	290	27	9	315	100	-0	+0	-0	-2	+5	0.3
2032	26	MLB CTX	TB	56%	225	200	47	8	1	8	21	60	2	4	1	234	312	404	716	170	290	27	9	318	101	+0	+0	-0	-2	+5	0.3
2033	27	MLB CTX	TB	55%	228	203	47	8	1	8	21	61	2	4	1	233	310	401	712	168	289	27	9	316	100	+0	+0	-0	-2	+5	0.3
2034	28	MLB CTX	TB	55%	227	202	47	8	1	8	21	61	2	3	1	231	308	397	705	166	288	27	9	314	99	-0	+0	-0	-2	+5	0.2
2035	29	MLB CTX	TB	53%	217	193	44	8	1	7	20	59	2	3	1	228	306	390	696	162	287	27	9	310	96	-1	+0	-1	-2	+5	0.1
2036	30	MLB CTX	TB	53%	209	186	42	7	1	7	19	58	2	2	1	225	302	382	684	157	284	28	9	305	93	-2	+0	-1	-2	+5	-0.1
2037	31	MLB CTX	TB	52%	199	178	40	7	1	6	18	56	1	2	1	221	297	372	669	151	281	28	9	299	89	-3	+0	-2	-2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1870	1667	381	65	9	63	171	509	15	28	8	229	306	392	698	163	288	27	9	310	91	-8	+2	-5	-20	+41	1.0
/ 162G	—	A+C		—	650	579	133	23	3	22	59	177	5	10	3	230	306	394	700	164	290	27	9	310	91	-3	+1	-2	-7	+14	0.3
Career	—	MLE		—	4285	3823	854	151	21	133	394	1236	33	85	22	223	301	378	680	155	291	29	9	303	91	-20	+5	-11	-39	+80	1.5
/ 162G	—	MLE		—	650	580	129	23	3	20	60	187	5	13	3	222	301	376	677	153	289	29	9	303	91	-3	+1	-2	-7	+14	0.3

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 · 206 PAwOBA .306 → .244 (−62)K% 30.1% → 40.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.10%	÷1.000	×1.360	—	—	40.93%
BB% (unintentional) /PA	14.56%	÷1.000	×0.690	—	×1.030	10.35%
HBP% /PA	0.49%	—	×0.780	—	×1.030	0.39%
Singles /BIP	22.73%	÷1.000	×0.920	×1.045	×1.030	22.50%
Doubles /BIP	6.36%	÷1.000	×0.830	×1.045	×1.030	5.68%
Triples /BIP	0.00%	÷1.000	×0.910	×1.045	×1.030	0.00%
Home runs /BIP	4.55%	÷1.000	×0.800	—	×1.030	3.75%

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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .306 → .244; ISO .128 → .098; BABIP .296 → .284. 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 · 220 PAwOBA .328 → .267 (−61)K% 29.1% → 39.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.09%	÷1.006	×1.360	—	—	39.35%
BB% (unintentional) /PA	11.36%	÷0.985	×0.690	—	×1.045	8.32%
HBP% /PA	0.91%	—	×0.780	—	×1.045	0.74%
Singles /BIP	25.98%	÷1.013	×0.920	×1.050	×1.045	25.90%
Doubles /BIP	5.51%	÷0.850	×0.830	×1.050	×1.045	5.91%
Triples /BIP	1.57%	÷1.121	×0.910	×1.050	×1.045	1.40%
Home runs /BIP	4.72%	÷1.159	×0.800	—	×1.045	3.41%

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 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 ×1.050.

Result: wOBA .328 → .267; ISO .152 → .113; BABIP .341 → .338. 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 ROKFCL Rays · 126 PAwOBA .404 → .289 (−115)K% 25.4% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.40%	÷0.980	×1.440	—	—	37.34%
BB% (unintentional) /PA	17.46%	÷1.024	×0.620	—	×1.022	10.80%
HBP% /PA	0.79%	—	×0.720	—	×1.022	0.58%
Singles /BIP	36.62%	÷1.024	×0.820	×1.050	×1.022	31.48%
Doubles /BIP	5.63%	÷0.941	×0.720	×1.050	×1.022	4.63%
Triples /BIP	2.82%	÷1.150	×0.720	×1.050	×1.022	1.89%
Home runs /BIP	2.82%	÷1.002	×0.780	—	×1.022	2.24%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 105, 2B 88, 3B 130, K 96, BB 105 — 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 ×1.050.

Result: wOBA .404 → .289; ISO .136 → .095; BABIP .464 → .389. 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).

2023 DSLDSL Rays · 29 PAwOBA .352 → .246 (−106)K% 20.7% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷0.987	×1.220	—	—	25.58%
BB% (unintentional) /PA	13.79%	÷0.984	×0.700	—	×1.022	10.03%
HBP% /PA	3.45%	—	×0.700	—	×1.022	2.47%
Singles /BIP	17.65%	÷1.005	×0.680	—	×1.022	12.21%
Doubles /BIP	17.65%	÷0.993	×0.600	—	×1.022	10.90%
Triples /BIP	0.00%	÷1.035	×0.600	—	×1.022	0.00%
Home runs /BIP	0.00%	÷0.938	×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 88, 1B 101, 2B 99, 3B 107, K 97, 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).

Result: wOBA .352 → .246; ISO .130 → .085; BABIP .333 → .219. 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
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	1,989	67	30	228	302	391	-12	-4	3.5	3.3
/162	664	22	10	-4.2	-1.2	1.2	pk7: 3
#2Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#3Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
/162	664	18	8	-5.5	-1.8	0.7	pk7: 4
#4Leron Lee'69-'76 * career totals — 6 seasons, 1,769 PA	2.7	1,769	31	19	248*	306*	408*	-19	+0	2.2	2.5
/162	664	12	7	-7.2	+0.0	0.8	pk7: 3
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1
#6Jake 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

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
Brailer Guerrero (OGILVIE)	21	—	—	—	—	210/288/335	125	281	3	2	29%	9%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Abimelec Ortiz 2023 · A	21	36→42	47→60	43→40	43	188/265/318	130	263	16	7	34%	8%	65	-1.2	216/279/399	183	284	24	4	32%	7%	89	+0.5	215/282/406	191	269	25	2	30%	7%	90	+0.5
●Will Benson 2019 · A	21	29→39	47→55	46→55	44	160/255/287	127	254	16	9	41%	10%	56	-1.9	180/264/334	154	281	19	14	40%	10%	70	-0.9	224/328/404	179	321	17	26	32%	12%	107	+1.3
●Jack Suwinski 2019 · A	21	41→43	41→60	47→50	40	200/258/299	99	283	8	6	31%	6%	57	-1.8	196/265/325	129	294	14	6	36%	8%	66	-1.1	212/308/419	207	282	28	10	34%	11%	104	+1.4
✕Parker Meadows 2021 · A	21	40→48	41→55	46→55	42	198/255/291	92	273	9	9	30%	7%	54	-2.0	206/267/338	132	276	14	13	29%	7%	70	-0.8	229/297/399	170	285	18	21	26%	8%	94	+0.9
●Jerry Sands 2009 · A	21	35→45	50→60	51→45	45	190/273/335	145	258	19	8	33%	9%	73	-0.6	230/295/421	191	285	24	6	28%	8%	100	+1.3	232/298/432	200	280	25	7	26%	8%	104	+1.4
✕Gavin Conticello 2024 · A	21	36→46	45	48→50	40	185/254/310	126	264	13	8	34%	7%	59	-1.6	219/279/344	125	300	11	8	29%	7%	76	-0.4	230/290/358	128	308	12	7	28%	7%	80	-0.1
✕Conner Capel 2018 · A	21	39→48	47→45	49→55	42	203/257/343	140	262	14	11	28%	6%	68	-1.0	215/268/332	117	289	11	11	28%	6%	69	-0.9	226/297/349	123	283	12	19	23%	8%	80	-0.1
✕Nicky Delmonico 2015 · A	23	41→48	47→55	46→45	43	209/275/346	136	285	15	8	31%	8%	75	-0.5	231/288/381	150	301	14	6	27%	7%	88	+0.4	237/306/397	160	290	18	4	24%	8%	96	+0.8
✕Josh Ockimey 2017 · A	21	39→46	48→50	47→30	47	197/280/339	142	281	16	4	34%	10%	76	-0.4	208/288/354	146	317	17	2	36%	10%	82	+0.0	199/287/353	154	300	19	1	37%	10%	81	-0.1
●Triston Casas 2021 · A	21	41→49	48→60	47→40	42	210/274/356	146	292	16	5	33%	7%	77	-0.3	240/324/415	175	298	21	5	25%	11%	109	+2.0	243/339/436	193	292	24	3	24%	12%	119	+2.0
✕Enmanuel Valdez 2021 · A	22	40→47	42→55	46→45	40	199/252/305	106	273	10	9	30%	6%	57	-1.8	221/280/394	173	275	22	8	27%	7%	88	+0.5	223/287/404	181	270	24	8	27%	8%	92	+0.5
●Aristides Aquino 2015 · A	21	36→41	47→65	50	35	192/232/329	137	256	14	11	31%	4%	55	-2.0	203/241/343	140	272	14	9	30%	4%	61	-1.5	218/281/448	230	271	34	9	33%	7%	100	+0.8
●Chris Parmelee 2009 · A	21	39→49	49→55	47→45	43	196/274/346	150	297	17	5	38%	9%	75	-0.5	231/300/364	133	301	14	3	26%	9%	88	+0.5	259/324/406	147	305	15	1	19%	8%	107	+1.8
✕Daniel Palka 2014 · A	22	44→43	44→55	44→50	44	216/276/336	120	286	11	5	28%	7%	73	-0.6	206/262/372	166	293	20	9	35%	7%	76	-0.4	207/274/387	180	261	25	4	31%	8%	84	+0.1
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Brandon Allen 2006 · A	20	41→49	46→55	45→50	39	206/270/335	129	305	14	7	36%	7%	71	-0.8	207/251/353	146	294	17	6	34%	5%	68	-1.0	228/311/413	185	290	22	9	28%	10%	103	+1.5
✕Iverson Leonardo 2023 · A	21	37	44→45	49→50	40	186/254/299	114	273	12	9	35%	7%	57	-1.8	197/278/292	95	346	7	8	41%	8%	64	-1.3	149/272/225	76	351	3	4	50%	12%	46	-0.6
●James Outman 2019 · A	22	38→48	47→60	53→50	39	199/256/332	133	279	16	11	34%	6%	65	-1.2	195/263/331	136	278	16	13	34%	7%	68	-1.0	232/324/426	194	320	24	14	33%	10%	112	+2.0
✕Victor Mesa Jr. 2023 · A	21	45→46	39→55	49→50	44	216/270/309	94	286	6	8	26%	6%	63	-1.3	219/270/344	125	280	13	10	26%	6%	72	-0.7	238/297/408	169	279	21	11	23%	7%	95	+0.5
●Daylen Lile 2024 · A	21	44→54	44→55	55	43	213/273/340	127	293	10	15	30%	7%	72	-0.7	244/298/387	143	300	11	16	22%	6%	92	+0.7	254/307/414	160	300	13	17	19%	6%	101	+1.4

Brailer Guerrero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps