Bryan Andrade

SS Stockton Ports

Age 22 R/R 6'1" / 145 lbs A HR -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2342ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKOAK	42	.262/.262/.310	0	0	-4	—	.190/.190/.238
2025	20	A/ROKOAK	244	.255/.354/.341	2	3	55	—	.206/.279/.271
2026	21	AOAK	460	.245/.328/.381	10	13	58	—	.204/.269/.309
2027PROJMLE	22	MLBOAK	543	.202/.265/.294	7	8	58	-0.2
2028PROJ34% MLB	23	MLBOAK	143	.213/.276/.319	2	2	64	-0.1
2029PROJ46% MLB	24	MLBOAK	214	.217/.281/.330	4	3	68	-0.1

Next 3 projected WAR -0.4Projected 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

Speed76

K%64

ISO52

Whiff%45

wOBA33

Z-Con%30

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsLuis Alvarez (age 22) · Glenn Santiago (age 22) · Aaron McKeithan (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†58

AVG/OBP/SLG.200 / .263 / .292

PA210

HR3

K%28

BB%7

ISO92

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED40

scouting grade only

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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$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)
2022	17	ROK	DSL Athletics	—	123	101	20	2	0	0	13	19	4	1	0	198	314	218	531	20	233	15	11	251	11	—	—	—	—	—	—
2023	18	ROK	DSL Athletics	—	111	96	18	0	0	0	11	18	3	0	0	188	291	188	478		228	16	10	236	-8	—	—	—	—	—	—
2024	19	ROK	ACL Athletics	—	42	42	11	0	1	0	0	12	0	0	1	262	262	310	571	48	367	29	0	254	-4	—	—	—	—	—	—
2025	20	A	Stockton Ports	—	152	129	30	4	0	1	21	28	1	1	0	233	344	287	631	54	290	18	14	298	51	—	—	—	—	—	—
2025	20	ROK	ACL Athletics	—	92	79	23	2	3	1	9	13	1	2	0	291	371	430	801	139	324	14	10	347	61	—	—	—	—	—	—
2026	21	A	Stockton Ports	—	460	404	99	17	4	10	42	99	8	13	1	245	328	381	709	136	296	22	9	317	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Athletics	—	123	105	14	1	0	0	9	24	4	1	0	133	229	143	372	10	163	20	7	184	11	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	111	99	12	0	0	0	8	22	3	0	0	121	209	121	330		147	20	7	156	-8	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	295	40	0	163	-4	—	—	—	—	—	—
2025	20	A MLE	Stockton Ports	—	152	136	28	3	0	1	14	38	1	1	0	206	285	250	535	44	275	25	9	244	51	—	—	—	—	—	—
2025	20	ROK MLE	ACL Athletics	—	92	82	17	1	2	1	6	19	1	2	0	207	270	305	575	98	246	21	7	259	61	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	460	417	85	14	3	8	29	135	8	13	1	204	269	309	578	106	267	29	6	254	58	—	—	—	—	—	—
2022	17	ROK MLE	DSL Athletics	—	123	105	14	1	0	0	9	24	4	1	0	133	229	143	372	10	165	20	7	184	11	—	—	—	—	—	—
2022	17	ROK RAW	DSL Athletics	—	123	101	20	2	0	0	13	19	4	1	0	198	314	218	531	20	233	15	11	251	11	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	111	99	12	0	0	0	8	22	3	0	0	121	209	121	330		154	20	7	156	-8	—	—	—	—	—	—
2023	18	ROK RAW	DSL Athletics	—	111	96	18	0	0	0	11	18	3	0	0	188	291	188	478		228	16	10	236	-8	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	320	40	0	163	-4	—	—	—	—	—	—
2024	19	ROK RAW	ACL Athletics	—	42	42	11	0	1	0	0	12	0	0	1	262	262	310	571	48	367	29	0	254	-4	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	244	218	46	5	2	2	20	57	2	3	0	211	283	280	563	69	272	23	8	250	55	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	244	208	53	6	3	2	30	41	2	3	0	255	354	341	696	87	304	17	12	316	55	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	460	417	85	14	3	8	29	135	8	13	1	204	269	309	578	106	275	29	6	254	58	—	—	—	—	—	—
2026	21	A RAW	Stockton Ports	—	460	404	99	17	4	10	42	99	8	13	1	245	328	381	709	136	296	22	9	317	58	—	—	—	—	—	—
2022	17	ROK MLE	DSL Athletics	—	123	109	14	1	0	0	9	24	4	1	0	128	229	138	366	9	163	20	7	184	11	—	—	—	—	—	—
2023	18	ROK MLE	DSL Athletics	—	111	99	12	0	0	0	8	22	3	0	0	121	209	121	330		147	20	7	156	-8	—	—	—	—	—	—
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	295	40	0	163	-4	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	244	220	46	5	2	2	20	57	2	3	0	209	283	277	561	68	264	23	8	250	55	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	460	420	85	14	3	8	29	135	8	13	1	202	269	307	576	105	267	29	6	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	ACL Athletics	—	42	42	8	0	1	0	0	17	0	0	1	190	190	238	429	48	295	40	0	163	-4	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	244	220	46	5	2	2	20	57	2	3	0	209	283	277	561	68	264	23	8	250	55	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	460	420	85	14	3	8	29	135	8	13	1	202	269	307	576	105	267	29	6	254	58	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	OAK	0%	543	496	100	16	4	7	36	151	6	8	1	202	265	294	559	92	272	28	7	254	58	-27	+1	+0	+6	+12	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	OAK	34%	417	381	79	13	3	7	28	114	5	6	1	207	271	310	581	103	274	27	7	263	64	-18	+1	+0	+4	+9	-0.4
2029	24	MLB MLE	OAK	46%	463	423	88	14	3	8	32	124	5	6	1	211	276	321	596	110	276	27	7	269	68	-17	+1	+0	+5	+10	-0.2
2030	25	MLB MLE	OAK	52%	487	443	93	15	3	9	35	130	6	7	1	214	279	327	606	114	277	27	7	273	71	-17	+1	+0	+5	+11	0.0
2031	26	MLB MLE	OAK	54%	500	454	97	16	3	10	36	132	6	6	1	215	281	331	612	116	277	26	7	276	73	-16	+1	+0	+5	+11	0.1
2032	27	MLB MLE	OAK	54%	502	454	98	16	3	10	37	132	6	6	1	216	282	333	614	117	277	26	7	277	74	-16	+1	+0	+5	+11	0.1
2033	28	MLB MLE	OAK	54%	498	454	97	16	3	10	36	132	5	5	1	214	280	328	608	114	277	27	7	274	72	-17	+1	-1	+5	+11	-0.1
2034	29	MLB MLE	OAK	53%	487	444	94	16	3	9	35	131	5	4	1	212	277	322	600	111	275	27	7	271	69	-18	+0	-1	+5	+11	-0.3
2035	30	MLB MLE	OAK	52%	475	433	90	15	3	8	34	129	5	3	1	209	274	315	589	106	274	27	7	266	66	-19	+0	-2	+5	+10	-0.6
2028	23	MLB CTX	OAK	34%	143	130	28	5	1	2	10	39	2	2	0	213	276	319	595	106	282	27	7	269	64	-6	+0	+0	+2	+3	-0.1
2029	24	MLB CTX	OAK	46%	214	195	42	7	2	4	15	58	2	3	0	217	281	330	611	113	284	27	7	275	68	-8	+1	+0	+2	+5	-0.1
2030	25	MLB CTX	OAK	52%	252	229	51	9	2	5	18	67	3	3	0	219	284	337	621	117	285	27	7	279	71	-9	+1	+0	+3	+5	0.0
2031	26	MLB CTX	OAK	54%	271	247	54	10	2	5	19	71	3	3	0	221	286	341	627	120	286	26	7	282	73	-9	+1	+0	+3	+6	0.1
2032	27	MLB CTX	OAK	54%	272	247	54	10	2	5	20	72	3	3	0	221	287	342	629	121	286	26	7	283	74	-9	+1	+0	+3	+6	0.1
2033	28	MLB CTX	OAK	54%	270	245	54	10	2	5	20	72	3	3	0	220	285	337	623	118	285	27	7	280	72	-9	+1	-0	+3	+6	-0.0
2034	29	MLB CTX	OAK	53%	259	235	51	9	2	5	19	69	3	2	0	217	282	332	614	114	284	27	7	277	69	-9	+0	-1	+3	+6	-0.1
2035	30	MLB CTX	OAK	52%	249	226	49	9	2	4	18	68	3	2	0	214	279	324	603	110	282	27	7	272	66	-10	+0	-1	+3	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1930	1754	383	69	15	35	139	516	22	21	0	218	284	335	619	116	287	27	7	278	64	-69	+4	-2	+21	+42	-0.4
/ 162G	—	A+C		—	650	591	129	23	5	12	47	174	7	7	0	218	284	335	619	117	287	27	7	278	64	-23	+1	-1	+7	+14	-0.1
Career	—	MLE		—	5019	4559	939	147	31	84	353	1337	62	63	10	206	272	307	579	101	270	27	7	262	64	-148	+6	-4	+43	+88	-1.6
/ 162G	—	MLE		—	650	590	122	19	4	11	46	173	8	8	1	207	273	308	582	102	271	27	7	262	64	-24	+1	-1	+7	+14	-0.2

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 AStockton Ports · 460 PAwOBA .312 → .254 (−58)K% 21.5% → 29.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.52%	÷1.000	×1.360	—	—	29.27%
BB% (unintentional) /PA	8.91%	÷1.000	×0.690	—	×1.015	6.24%
HBP% /PA	1.74%	—	×0.780	—	×1.015	1.38%
Singles /BIP	22.30%	÷1.000	×0.920	×0.993	×1.015	20.66%
Doubles /BIP	5.57%	÷1.000	×0.830	×0.993	×1.015	4.66%
Triples /BIP	1.31%	÷1.000	×0.910	×0.993	×1.015	1.20%
Home runs /BIP	3.28%	÷1.000	×0.800	—	×1.015	2.66%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .312 → .254; ISO .136 → .108; BABIP .296 → .267. 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 AStockton Ports · 152 PAwOBA .291 → .244 (−47)K% 18.4% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.42%	÷1.011	×1.360	—	—	24.77%
BB% (unintentional) /PA	13.82%	÷1.029	×0.690	—	×1.030	9.54%
HBP% /PA	0.66%	—	×0.780	—	×1.030	0.53%
Singles /BIP	24.75%	÷1.003	×0.920	×1.017	×1.030	23.77%
Doubles /BIP	3.96%	÷0.990	×0.830	×1.017	×1.030	3.48%
Triples /BIP	0.00%	÷1.150	×0.910	×1.017	×1.030	0.00%
Home runs /BIP	0.99%	÷1.113	×0.800	—	×1.030	0.73%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 101, 2B 98, 3B 130, K 102, BB 106 — 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 ×1.017.

Result: wOBA .291 → .244; ISO .054 → .044; BABIP .290 → .275. 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 Athletics · 92 PAwOBA .349 → .259 (−91)K% 14.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.13%	÷0.983	×1.440	—	—	20.70%
BB% (unintentional) /PA	9.78%	÷0.971	×0.620	—	×0.995	6.21%
HBP% /PA	1.09%	—	×0.720	—	×0.995	0.78%
Singles /BIP	25.76%	÷1.039	×0.820	×0.990	×0.995	20.03%
Doubles /BIP	3.03%	÷1.020	×0.720	×0.990	×0.995	2.11%
Triples /BIP	4.55%	÷0.989	×0.720	×0.990	×0.995	3.26%
Home runs /BIP	1.52%	÷0.926	×0.780	—	×0.995	1.27%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 108, 2B 104, 3B 98, K 97, BB 94 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .349 → .259; ISO .139 → .105; BABIP .324 → .246. 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 ROKACL Athletics · 42 PAwOBA .247 → .163 (−84)K% 28.6% → 41.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷0.998	×1.440	—	—	41.21%
BB% (unintentional) /PA	0.00%	÷0.986	×0.620	—	×1.008	0.00%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	33.33%	÷1.027	×0.820	—	×1.008	26.82%
Doubles /BIP	0.00%	÷1.124	×0.720	—	×1.008	0.00%
Triples /BIP	3.33%	÷0.907	×0.720	—	×1.008	2.67%
Home runs /BIP	0.00%	÷0.852	×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): HR 70, 1B 105, 2B 125, 3B 81, K 100, BB 97 — 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 .247 → .163; ISO .048 → .031; BABIP .367 → .295. 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 Athletics · 111 PAwOBA .233 → .156 (−77)K% 16.2% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.22%	÷0.994	×1.220	—	—	19.90%
BB% (unintentional) /PA	9.91%	÷1.030	×0.700	—	×1.008	6.79%
HBP% /PA	2.70%	—	×0.700	—	×1.008	1.91%
Singles /BIP	23.08%	÷1.031	×0.680	×0.972	×1.008	14.92%
Doubles /BIP	0.00%	÷1.138	×0.600	×0.972	×1.008	0.00%
Triples /BIP	0.00%	÷1.000	×0.600	×0.972	×1.008	0.00%
Home runs /BIP	0.00%	÷1.039	×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 108, 1B 106, 2B 128, 3B 100, K 99, BB 106 — 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 ×0.972.

Result: wOBA .233 → .156; ISO .000 → .000; BABIP .228 → .147. 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).

2022 DSLDSL Athletics · 123 PAwOBA .254 → .184 (−70)K% 15.4% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.45%	÷0.959	×1.220	—	—	19.66%
BB% (unintentional) /PA	10.57%	÷1.020	×0.700	—	×1.022	7.41%
HBP% /PA	3.25%	—	×0.700	—	×1.022	2.33%
Singles /BIP	21.95%	÷1.004	×0.680	×1.013	×1.022	15.41%
Doubles /BIP	2.44%	÷0.952	×0.600	×1.013	×1.022	1.59%
Triples /BIP	0.00%	÷0.984	×0.600	×1.013	×1.022	0.00%
Home runs /BIP	0.00%	÷0.902	×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 80, 1B 101, 2B 90, 3B 97, K 92, BB 104 — 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 ×1.013.

Result: wOBA .254 → .184; ISO .020 → .014; BABIP .233 → .163. 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
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#4Ryan 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 5 projected seasons	3.2	2,140	39	25	212	274	323	+23	+15	0.7	0.8
/162	664	12	8	+7.1	+4.7	0.2	pk7: 1
#5Andres Thomas'85-'90 * career totals — 5 seasons, 2,185 PA	3.3	2,185	42	22	234*	256*	361*	+23	+24	0.5	0.5
/162	664	13	7	+7.1	+7.3	0.2	pk7: 0
#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
Bryan Andrade (OGILVIE)	22	40	20	40	55	200/263/292	91	272	3	3	28%	7%	58	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Alvarez 2012 · A	22	45	39→40	42→45	44	215/273/300	85	266	6	5	21%	6%	63	-1.3	220/272/344	124	281	13	5	26%	5%	74	-0.6	209/252/367	157	250	21	0	26%	3%	69	-0.2
✕Glenn Santiago 2023 · A	22	42	41→40	46→45	40	203/258/299	95	286	8	8	31%	6%	57	-1.8	200/263/285	85	289	7	9	31%	7%	56	-1.9	185/254/258	73	266	7	8	31%	7%	46	-1.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Braulio Vasquez 2021 · A	22	42	39→40	44→65	38	197/260/278	81	313	6	7	37%	6%	53	-2.1	207/282/301	94	302	7	30	31%	8%	68	-1.0	200/280/292	92	287	6	42	30%	8%	62	-0.6
✕Israel Nunez 2008 · A	22	44	36→40	43→40	44	210/272/266	56	269	4	5	22%	6%	55	-1.9	210/255/267	57	265	3	5	21%	4%	48	-2.5	259/299/318	59	321	3	1	19%	4%	75	-0.1
✕Luis De La Cruz 2011 · A	22	40	40→30	47→30	38	195/231/295	100	253	6	6	26%	4%	45	-2.7	235/266/315	80	286	4	6	19%	4%	63	-1.4	266/288/334	68	312	3	4	16%	3%	71	-0.3
✕Luis Verdugo 2023 · A	22	43→48	40	42→45	44	209/265/301	92	277	6	5	26%	7%	60	-1.6	204/255/289	85	270	6	5	25%	6%	54	-2.0	198/255/272	74	269	7	4	28%	7%	48	-1.5
✕Travis Harrison 2015 · A	22	46→50	40	41→45	47	219/293/316	97	298	7	5	27%	8%	75	-0.5	203/285/291	88	289	5	7	29%	8%	66	-1.1	184/273/267	83	270	5	7	31%	9%	55	-1.4
✕Kyle Overstreet 2016 · A	22	40→45	37→40	42→30	44	190/254/259	69	264	4	4	28%	7%	47	-2.6	223/279/316	93	282	8	3	22%	7%	69	-0.9	224/268/313	89	272	9	1	21%	5%	62	-1.0
✕Rayder Ascanio 2018 · A	22	43→48	39→40	42→45	44	207/263/295	88	277	7	8	27%	7%	58	-1.7	213/266/300	87	273	8	6	24%	6%	60	-1.6	207/257/290	83	256	10	4	22%	5%	52	-1.0
✕Eduardo Torrealba 2021 · A	22	44	36→30	43→50	40	210/265/276	66	292	4	6	28%	6%	55	-2.0	219/273/295	76	269	6	14	20%	6%	62	-1.4	210/266/272	62	255	5	17	19%	6%	52	-1.0
✕Claudio Finol 2022 · A	22	40	38→30	46→45	41	195/255/280	85	272	5	6	29%	6%	52	-2.2	197/255/281	84	276	6	9	29%	6%	52	-2.2	202/270/282	80	285	9	12	31%	7%	57	-0.4
✕Sharlon Schoop 2009 · A	22	46→45	40	45	42	221/270/307	86	290	7	8	26%	6%	63	-1.3	230/271/306	76	297	6	7	23%	5%	63	-1.4	227/270/310	83	288	8	5	23%	5%	62	-0.6
✕Gerardo Bustamante 2008 · A	22	38	39→40	42→50	40	189/236/271	83	258	7	4	30%	6%	42	-2.9	198/259/276	78	270	5	5	27%	7%	53	-2.1	219/256/297	79	272	10	12	23%	4%	52	-0.7
✕David Rodríguez 2018 · A	22	41→44	37→40	40	41	199/257/271	72	272	5	3	28%	6%	51	-2.3	216/269/317	101	292	8	5	28%	6%	65	-1.2	203/261/320	118	275	14	4	30%	7%	61	-0.5
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	195/236/271	76	279	4	8	31%	4%	42	-2.9	220/267/316	96	272	9	6	22%	6%	64	-1.3	226/273/320	94	265	9	4	18%	6%	64	-0.5
✕Edgar Garzon 2009 · A	22	44	37→40	41→40	42	208/269/280	72	284	4	4	27%	6%	57	-1.8	236/279/332	96	300	7	3	23%	5%	72	-0.7	263/295/376	113	314	10	0	19%	3%	85	+0.1
✕Andrew Pintar 2024 · A	23	44→43	40→45	42→60	40	211/269/301	90	297	7	10	30%	6%	62	-1.4	221/284/327	106	309	9	23	29%	7%	74	-0.6	223/290/331	108	311	10	31	29%	7%	74	-0.4
✕Ramón Rodríguez 2021 · A	22	45	38→40	47→45	46	212/265/289	77	262	5	6	21%	6%	57	-1.8	220/266/308	88	269	9	6	21%	5%	62	-1.4	216/277/308	92	237	10	8	14%	7%	65	-0.5
✕Rafael P Valera 2017 · A	22	48	36→30	44→55	46	221/290/298	77	312	2	6	28%	8%	69	-0.9	207/269/296	89	315	5	6	33%	7%	61	-1.5	166/231/236	69	265	3	2	36%	5%	32	-1.0

Bryan Andrade

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps