Alejandro Pereira

C ACL Athletics

Age 20 R/R 5'11" / 170 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1931ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKOAK	89	.192/.276/.231	0	0	1	—	.138/.207/.162
2025	18	ROKOAK	178	.218/.347/.272	0	4	24	—	.145/.261/.178
2026	19	ROKOAK	76	.246/.316/.290	0	1	23	—	.186/.250/.214
2027PROJMLE	20	MLBOAK	186	.199/.260/.264	1	2	49	-0.1
2028PROJ34% MLB	21	MLBOAK	34	.210/.272/.291	0	1	56	-0.0
2029PROJ48% MLB	22	MLBOAK	90	.214/.278/.305	1	1	61	-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%51

Whiff%41

K%39

ISO12

wOBA11

wRC+10

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

CompsAlfredo González (age 20) · Rehiner Cordova (age 20) · Braulio Vasquez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 44 proj PA

wRC+†49

AVG/OBP/SLG.197 / .258 / .262

PA44

HR0

K%26

BB%6

ISO65

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE30

scouting grade only

SPEED45

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	—	89	78	15	3	0	0	7	23	2	0	0	192	276	231	507	38	263	26	8	237	1	—	—	—	—	—	—
2025	18	ROK	DSL Athletics	—	178	147	32	8	0	0	16	24	13	4	0	218	347	272	619	54	256	13	9	296	24	—	—	—	—	—	—
2026	19	ROK	ACL Athletics	—	76	69	17	3	0	0	4	18	3	1	1	246	316	290	606	43	333	24	5	283	23	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Athletics	—	89	80	11	2	0	0	5	28	2	0	0	138	207	163	369	25	193	31	6	170	1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	178	152	22	5	0	0	11	29	13	4	0	145	261	178	439	33	171	16	6	203	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Athletics	—	76	70	13	2	0	0	3	26	3	1	1	186	250	214	464	29	283	34	4	202	23	—	—	—	—	—	—
2024	17	ROK MLE	DSL Athletics	—	89	80	11	2	0	0	5	28	2	0	0	138	207	163	369	25	204	31	6	170	1	—	—	—	—	—	—
2024	17	ROK RAW	DSL Athletics	—	89	78	15	3	0	0	7	23	2	0	0	192	276	231	507	38	263	26	8	237	1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	178	152	22	5	0	0	11	29	13	4	0	145	261	178	439	33	176	16	6	203	24	—	—	—	—	—	—
2025	18	ROK RAW	DSL Athletics	—	178	147	32	8	0	0	16	24	13	4	0	218	347	272	619	54	256	13	9	296	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Athletics	—	76	70	13	2	0	0	3	26	3	1	1	186	250	214	464	29	295	34	4	202	23	—	—	—	—	—	—
2026	19	ROK RAW	ACL Athletics	—	76	69	17	3	0	0	4	18	3	1	1	246	316	290	606	43	333	24	5	283	23	—	—	—	—	—	—
2024	17	ROK MLE	DSL Athletics	—	89	82	11	2	0	0	5	28	2	0	0	134	207	159	365	24	193	31	6	170	1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	178	152	22	5	0	0	11	29	13	4	0	145	261	178	439	33	171	16	6	203	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Athletics	—	76	70	13	2	0	0	3	26	3	1	1	186	250	214	464	29	283	34	4	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Athletics	—	89	82	11	2	0	0	5	28	2	0	0	134	207	159	365	24	193	31	6	170	1	—	—	—	—	—	—
2025	18	ROK MLE	DSL Athletics	—	178	152	22	5	0	0	11	29	13	4	0	145	261	178	439	33	171	16	6	203	24	—	—	—	—	—	—
2026	19	ROK MLE	ACL Athletics	—	76	70	13	2	0	0	3	26	3	1	1	186	250	214	464	29	283	34	4	202	23	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	OAK	0%	186	170	34	6	1	1	11	49	3	2	1	199	260	264	525	65	270	26	6	241	49	-11	+0	+0	+3	+4	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	OAK	34%	99	91	19	3	1	1	6	26	2	1	1	204	267	281	547	77	272	26	6	251	56	-5	-0	+0	+2	+2	-0.2
2029	22	MLB MLE	OAK	48%	186	170	35	6	1	2	11	48	3	3	1	208	272	294	566	86	274	26	6	258	61	-9	+0	+0	+3	+4	-0.1
2030	23	MLB MLE	OAK	54%	283	258	56	10	2	4	18	72	5	4	2	212	276	305	582	94	276	25	6	264	65	-12	+0	+0	+5	+6	-0.1
2031	24	MLB MLE	OAK	55%	362	330	71	13	2	5	23	91	6	6	2	215	280	315	595	100	277	25	6	270	69	-14	+0	+0	+6	+8	0.1
2032	25	MLB MLE	OAK	56%	407	370	80	14	2	7	27	102	7	6	2	217	282	322	604	105	278	25	7	273	71	-14	+0	+0	+7	+9	0.3
2033	26	MLB MLE	OAK	56%	435	396	85	15	2	7	28	109	8	7	3	217	282	323	605	106	278	25	6	274	72	-15	+0	+0	+8	+9	0.3
2034	27	MLB MLE	OAK	55%	445	405	87	16	2	7	29	112	8	7	3	216	281	320	602	104	277	25	7	272	71	-16	+0	+0	+8	+10	0.2
2035	28	MLB MLE	OAK	55%	445	405	86	15	2	7	29	113	8	6	3	214	279	315	595	101	276	25	7	270	69	-17	+0	-1	+8	+10	0.0
2036	29	MLB MLE	OAK	53%	439	401	85	15	2	7	28	113	7	6	3	212	277	309	586	97	275	26	6	266	66	-18	+0	-1	+8	+10	-0.2
2028	21	MLB CTX	OAK	34%	34	31	6	1	0	0	2	9	1	1	0	210	272	291	564	81	280	26	6	257	56	-2	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	OAK	48%	90	82	18	3	1	1	6	23	2	1	1	214	278	305	582	90	283	26	7	265	61	-4	-0	+0	+2	+2	-0.1
2030	23	MLB CTX	OAK	54%	153	139	31	6	1	2	10	39	3	2	1	218	282	316	598	98	284	25	7	271	65	-6	+0	+0	+3	+3	-0.0
2031	24	MLB CTX	OAK	55%	201	182	40	8	1	3	13	51	4	3	1	221	285	325	610	104	286	25	6	276	69	-8	+0	+0	+4	+4	0.1
2032	25	MLB CTX	OAK	56%	228	207	46	9	1	4	15	57	4	4	1	223	288	332	620	109	287	25	7	280	71	-8	+0	+0	+4	+5	0.2
2033	26	MLB CTX	OAK	56%	245	223	50	10	1	4	16	61	4	4	1	223	288	333	621	110	287	25	7	280	72	-8	+0	+0	+4	+5	0.2
2034	27	MLB CTX	OAK	55%	246	224	50	10	1	4	16	62	4	4	2	222	287	330	617	108	286	25	7	279	71	-9	+0	+0	+4	+5	0.1
2035	28	MLB CTX	OAK	55%	244	222	48	9	1	4	16	62	4	3	2	220	285	325	610	105	285	25	7	276	69	-9	-0	-0	+4	+5	-0.0
2036	29	MLB CTX	OAK	53%	235	214	46	9	1	3	15	60	4	3	2	218	282	319	601	101	284	26	6	272	66	-9	-0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1676	1524	335	65	8	25	109	424	30	25	11	220	285	322	607	102	287	25	7	276	63	-63	+1	-1	+30	+36	0.3
/ 162G	—	A+C		—	650	591	130	25	3	10	42	164	12	10	4	220	285	323	608	103	286	25	6	276	63	-24	+0	-0	+12	+14	0.1
Career	—	MLE		—	3488	3168	657	117	16	47	221	881	73	52	21	207	275	299	574	92	270	25	6	261	63	-120	+1	-2	+56	+68	0.3
/ 162G	—	MLE		—	650	590	123	22	3	9	41	164	14	10	4	208	276	302	577	93	271	25	6	261	63	-25	+0	-0	+12	+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 ROKACL Athletics · 76 PAwOBA .276 → .202 (−74)K% 23.7% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.68%	÷1.000	×1.440	—	—	34.11%
BB% (unintentional) /PA	5.26%	÷1.000	×0.620	—	×1.008	3.29%
HBP% /PA	3.95%	—	×0.720	—	×1.008	2.86%
Singles /BIP	27.45%	÷1.000	×0.820	×1.050	×1.008	23.81%
Doubles /BIP	5.88%	÷1.000	×0.720	×1.050	×1.008	4.48%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .276 → .202; ISO .043 → .029; BABIP .333 → .283. 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 · 178 PAwOBA .293 → .203 (−89)K% 13.5% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.48%	÷1.004	×1.220	—	—	16.38%
BB% (unintentional) /PA	8.99%	÷1.009	×0.700	—	×1.008	6.28%
HBP% /PA	7.30%	—	×0.700	—	×1.008	5.15%
Singles /BIP	19.51%	÷0.994	×0.680	×1.002	×1.008	13.47%
Doubles /BIP	6.50%	÷1.013	×0.600	×1.002	×1.008	3.89%
Triples /BIP	0.00%	÷0.900	×0.600	×1.002	×1.008	0.00%
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 ×1.002.

Result: wOBA .293 → .203; ISO .054 → .034; BABIP .256 → .171. 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 · 89 PAwOBA .236 → .170 (−66)K% 25.8% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.84%	÷0.991	×1.220	—	—	31.83%
BB% (unintentional) /PA	7.87%	÷0.994	×0.700	—	×1.022	5.66%
HBP% /PA	2.25%	—	×0.700	—	×1.022	1.61%
Singles /BIP	21.82%	÷0.975	×0.680	×1.050	×1.022	16.33%
Doubles /BIP	5.45%	÷0.951	×0.600	×1.050	×1.022	3.69%
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 .236 → .170; ISO .038 → .026; BABIP .263 → .193. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.6	1,719	26	26	215	277	314	+31	+24	1.4	1.5
/162	664	10	10	+11.9	+9.3	0.5	pk7: 2
#4Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
#6Matt Walbeck'93-'03 * career totals — 9 seasons, 2,280 PA	3.4	2,280	28	13	222*	268*	305*	+40	-0	-3.5	-1.5
/162	664	8	4	+11.5	-0.0	-1.0	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
Alejandro Pereira (OGILVIE)	20	35	20	45	30	197/258/262	65	270	0	1	26%	6%	49	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alfredo González 2012 · A	20	36	36→40	47→45	39	173/218/241	68	241	2	8	28%	5%	28	-3.9	193/244/265	72	255	4	10	25%	5%	44	-2.8	232/294/283	51	313	3	6	25%	7%	64	-0.5
✕Rehiner Cordova 2014 · A	20	42	34→30	45→40	41	196/253/246	50	284	2	6	30%	6%	43	-2.8	207/265/251	44	285	2	6	26%	7%	49	-2.4	197/262/216	19	265	1	4	24%	7%	36	-1.1
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	75	292	5	11	30%	6%	53	-2.1	193/262/269	76	307	6	15	36%	7%	53	-2.1	189/270/268	79	286	5	32	33%	8%	53	-0.8
✕Luis Sanchez 2007 · A	20	41	36→30	50→40	41	195/253/261	66	275	4	7	29%	6%	47	-2.6	196/263/250	54	280	2	4	28%	8%	48	-2.5	198/256/242	45	274	1	2	26%	7%	41	-1.4
✕Franklin Torres 2017 · A	20	43→41	34→40	48→50	42	199/253/250	51	273	1	9	26%	6%	44	-2.8	214/268/298	84	279	6	6	24%	7%	60	-1.6	211/272/293	83	281	7	5	26%	7%	60	-1.0
✕Ronaldo Flores 2022 · A	20	43	35→40	47→30	37	204/247/265	62	282	3	4	28%	4%	45	-2.7	213/253/311	98	302	9	4	31%	4%	57	-1.8	202/239/292	90	285	7	2	31%	4%	44	-1.0
✕Ricardo Valenzuela 2011 · A	20	42	36→30	47→50	43	197/250/267	70	257	3	9	24%	6%	47	-2.6	192/254/253	61	230	2	6	16%	7%	45	-2.7	221/269/269	47	257	5	0	16%	6%	52	-0.7
✕Luis De La Cruz 2010 · A	21	41	38→30	47→30	41	200/236/278	78	248	5	6	22%	4%	43	-2.8	222/254/314	92	278	5	6	21%	4%	58	-1.7	247/269/327	80	297	3	3	18%	3%	63	-0.4
✕Argenis Raga 2014 · A	20	37	35→40	43→40	43	175/224/232	57	213	3	5	19%	5%	29	-3.8	217/264/294	77	285	3	4	24%	5%	57	-1.8	221/265/312	91	294	6	2	26%	5%	61	-0.7
✕Yeltsin Gudino 2017 · A	20	36→46	36→30	44→40	42	172/222/235	63	225	3	4	24%	6%	28	-3.9	225/278/274	49	278	2	4	19%	6%	59	-1.7	230/283/267	37	282	1	3	18%	5%	57	-1.1
✕Yeldrys Molina 2009 · A	20	42	38→30	48→50	45	202/263/281	80	273	4	9	27%	7%	55	-2.0	195/253/273	78	287	4	8	31%	7%	49	-2.4	143/203/205	62	209	0	9	29%	6%	14	-1.2
✕James Harris 2014 · A	20	36→46	36→40	46→50	42	176/239/245	69	249	3	10	29%	7%	38	-3.2	210/270/299	89	304	8	12	31%	7%	62	-1.4	221/284/309	88	314	7	14	30%	7%	66	-0.8
✕Onil Perez 2023 · A	20	43	36→40	46→55	49	200/268/272	73	258	3	7	22%	8%	55	-1.9	220/284/292	72	276	3	17	20%	7%	65	-1.2	222/294/289	67	273	3	21	18%	8%	67	-0.6
✕Felix G. Santana 2015 · A	20	41	35→30	46→50	44	194/262/257	63	252	3	10	23%	6%	50	-2.3	210/261/295	85	275	6	7	25%	5%	57	-1.8	221/250/302	81	284	6	0	24%	2%	50	-0.5
✕Kenny Castillo 2024 · A	20	42	37→40	49→30	39	201/247/277	76	273	4	5	27%	5%	48	-2.5	211/253/299	88	300	6	3	30%	4%	55	-2.0	207/248/299	91	291	8	1	30%	4%	52	-1.2
✕Pablo Olivares 2018 · A	20	44	36→40	49→50	43	207/279/278	72	283	3	10	26%	6%	61	-1.5	227/298/305	78	294	6	13	23%	6%	74	-0.5	220/297/294	73	283	5	14	22%	7%	68	-0.5
✕Miguel Briceno 2023 · A	20	41	36→40	49→50	46	196/250/269	73	247	3	9	21%	7%	47	-2.5	217/260/286	69	274	3	11	21%	5%	54	-2.0	212/258/283	71	262	6	12	21%	6%	51	-0.9
✕Victor Duarte 2022 · A	21	38	38→30	48→45	42	185/249/264	79	253	5	7	28%	6%	47	-2.6	199/274/279	80	289	6	6	31%	7%	59	-1.6	182/251/245	63	250	5	11	28%	7%	41	-0.8
✕Ron Rivas 2008 · A	20	38→48	35→30	46→45	38	182/234/237	55	251	3	8	28%	5%	34	-3.5	226/266/285	59	318	2	5	28%	4%	56	-1.9	232/273/289	57	322	1	3	27%	4%	56	-1.1
✕Jose Cordoba 2022 · A	19	38	38→40	45→55	40	184/244/257	73	246	5	8	27%	5%	43	-2.8	198/254/290	92	276	7	10	29%	6%	54	-2.0	203/257/294	91	267	4	15	24%	5%	53	-0.9

Alejandro Pereira

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps