Javier Sanchez

C ACL Rangers

Age 19 R/R 5'11" / 160 lbs ROK HR +15%BB +5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#617ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	16	ROKDSL Rangers B…	163	.290/.457/.403	1	3	74	—	.189/.340/.250
2025	17	ROKTEX	135	.237/.356/.316	2	0	43	—	.182/.267/.223
2026	18	ROKTEX	74	.250/.500/.312	1	1	90	—	.204/.403/.259
2027PROJMLE	19	MLBTEX	184	.217/.300/.306	2	3	74	0.1
2028PROJ34% MLB	20	MLBTEX	34	.222/.306/.322	1	1	80	0.1
2029PROJ48% MLB	21	MLBTEX	94	.226/.310/.334	2	2	84	0.2

Next 3 projected WAR 0.4Projected 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

BB%90

wRC+80

wOBA76

K%56

Whiff%49

Z-Con%48

Career WAR0.0 WAR median (P10 0.0 / P90 0.4, comp-based) · star 1% · didn't stick 92%

CompsJesus Rodriguez (age 19) · Michael Arroyo (age 19) · Jeferson Quero (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 43 proj PA

wRC+†74

AVG/OBP/SLG.215 / .298 / .303

PA43

HR1

K%24

BB%8

ISO88

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$33M ctrl surplus

Tools · ContractCON 48 / POW 40

Toolsscout grade

CONTACT48

scouting grade only

POWER40

scouting grade only

EYE58

scouting grade only

SPEED48

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	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2036	Arb-1	$3M	+0.7	$1M	+$0.4M
2037	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2038	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$5M		$8M	+$4M

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	16	ROK	DSL Rangers Blue	—	163	124	36	9	1	1	29	19	9	3	1	290	457	403	860	113	333	12	18	397	74	—	—	—	—	—	—
2025	17	ROK	ACL Rangers	—	135	114	27	3	0	2	15	22	6	0	0	237	356	316	671	79	278	16	11	317	43	—	—	—	—	—	—
2026	18	ROK	ACL Rangers	—	74	48	12	0	0	1	17	15	7	1	0	250	500	312	812	62	324	20	23	392	90	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	16	ROK MLE	DSL Rangers Blue	—	163	132	25	6	1	0	21	23	9	3	1	189	340	250	590	61	222	14	13	278	74	—	—	—	—	—	—
2025	17	ROK MLE	ACL Rangers	—	135	121	22	2	0	1	8	32	6	0	0	182	267	223	490	41	240	24	6	232	43	—	—	—	—	—	—
2026	18	ROK MLE	ACL Rangers	—	74	54	11	0	0	1	11	22	7	1	0	204	403	259	662	56	267	30	15	301	90	—	—	—	—	—	—
2024	16	ROK MLE	DSL Rangers Blue	—	163	132	25	6	1	0	21	23	9	3	1	189	340	250	590	61	227	14	13	278	74	—	—	—	—	—	—
2024	16	ROK RAW	DSL Rangers Blue	—	163	124	36	9	1	1	29	19	9	3	1	290	457	403	860	113	333	12	18	397	74	—	—	—	—	—	—
2025	17	ROK MLE	ACL Rangers	—	135	121	22	2	0	1	8	32	6	0	0	182	267	223	490	41	239	24	6	232	43	—	—	—	—	—	—
2025	17	ROK RAW	ACL Rangers	—	135	114	27	3	0	2	15	22	6	0	0	237	356	316	671	79	278	16	11	317	43	—	—	—	—	—	—
2026	18	ROK MLE	ACL Rangers	—	74	54	11	0	0	1	11	22	7	1	0	204	403	259	662	56	303	30	15	301	90	—	—	—	—	—	—
2026	18	ROK RAW	ACL Rangers	—	74	48	12	0	0	1	17	15	7	1	0	250	500	312	812	62	324	20	23	392	90	—	—	—	—	—	—
2024	16	ROK MLE	DSL Rangers Blue	—	163	132	25	6	1	0	21	23	9	3	1	189	340	250	590	61	222	14	13	278	74	—	—	—	—	—	—
2025	17	ROK MLE	ACL Rangers	—	135	120	22	2	0	1	8	32	6	0	0	183	267	225	492	42	240	24	6	232	43	—	—	—	—	—	—
2026	18	ROK MLE	ACL Rangers	—	74	56	11	0	0	1	11	22	7	1	0	196	403	250	653	54	267	30	15	301	90	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	16	ROK MLE	DSL Rangers Blue	—	163	132	25	6	1	0	21	23	9	3	1	189	340	250	590	61	222	14	13	278	74	—	—	—	—	—	—
2025	17	ROK MLE	ACL Rangers	—	135	120	22	2	0	1	8	32	6	0	0	183	267	225	492	42	240	24	6	232	43	—	—	—	—	—	—
2026	18	ROK MLE	ACL Rangers	—	74	56	11	0	0	1	11	22	7	1	0	196	403	250	653	54	267	30	15	301	90	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	TEX	0%	184	162	35	6	1	2	16	45	4	3	1	217	300	306	606	88	283	24	9	278	74	-6	+0	+0	+3	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	TEX	34%	100	89	19	3	1	1	9	24	2	2	1	222	305	320	625	98	285	24	9	286	80	-2	+0	+0	+2	+2	0.2
2029	21	MLB MLE	TEX	48%	193	170	38	6	1	3	17	46	4	3	1	225	309	331	640	106	286	24	9	292	84	-4	+0	+0	+3	+4	0.4
2030	22	MLB MLE	TEX	54%	303	268	61	10	2	5	26	71	6	5	2	228	311	340	651	112	287	23	9	296	87	-5	+0	+0	+5	+7	0.7
2031	23	MLB MLE	TEX	57%	391	346	79	13	2	7	34	91	8	7	3	230	313	347	660	116	288	23	9	299	89	-5	+0	+0	+7	+8	1.1
2032	24	MLB MLE	TEX	57%	445	394	92	15	3	9	39	103	9	8	3	232	315	352	667	120	289	23	9	302	90	-5	+0	+0	+8	+10	1.3
2033	25	MLB MLE	TEX	57%	445	394	92	15	3	9	39	103	9	8	3	232	315	353	667	120	289	23	9	302	91	-5	+0	+0	+8	+10	1.3
2034	26	MLB MLE	TEX	60%	445	394	92	15	3	9	39	103	9	8	3	232	315	352	667	120	289	23	9	302	90	-5	+0	+0	+8	+10	1.3
2035	27	MLB MLE	TEX	62%	445	394	90	15	2	9	39	104	9	8	3	231	314	349	663	118	289	23	9	300	89	-6	+0	+0	+8	+10	1.3
2036	28	MLB MLE	TEX	63%	445	395	90	15	2	9	39	105	8	7	3	229	312	344	656	115	287	24	9	298	88	-7	+0	-1	+8	+10	1.1
2037	29	MLB MLE	TEX	64%	445	395	89	15	2	8	39	106	8	6	3	227	309	338	647	111	286	24	9	294	85	-8	+0	-1	+8	+10	0.8
2038	30	MLB MLE	TEX	65%	445	396	89	15	2	8	38	107	8	6	4	223	305	330	635	107	284	24	9	289	82	-10	-0	-2	+8	+10	0.6
2039	31	MLB MLE	TEX	65%	426	379	83	14	2	7	36	105	8	5	5	219	300	320	620	101	281	25	8	283	78	-11	-1	-3	+8	+9	0.2
2040	32	MLB MLE	TEX	65%	406	362	77	12	2	6	34	101	7	4	11	214	294	307	601	94	277	25	8	275	73	-13	-4	-4	+7	+9	-0.4
2028	20	MLB CTX	TEX	34%	34	30	7	1	0	1	3	8	1	1	0	222	306	322	628	100	285	24	9	287	80	-1	+0	+0	+1	+1	0.1
2029	21	MLB CTX	TEX	48%	94	84	20	3	1	2	8	22	2	2	1	226	310	334	644	108	286	23	9	293	84	-2	+0	+0	+2	+2	0.2
2030	22	MLB CTX	TEX	54%	164	146	33	5	1	3	14	38	3	3	1	229	312	344	656	115	287	23	9	298	87	-3	+0	+0	+3	+4	0.4
2031	23	MLB CTX	TEX	57%	221	196	45	7	1	5	19	52	4	4	2	231	314	351	665	120	288	24	9	301	89	-3	+0	+0	+4	+5	0.6
2032	24	MLB CTX	TEX	57%	252	223	51	8	1	5	22	58	5	4	2	233	315	356	672	123	289	23	9	304	90	-3	+0	+0	+4	+5	0.7
2033	25	MLB CTX	TEX	57%	251	222	51	8	1	5	22	58	5	4	2	233	316	357	673	124	289	23	9	304	91	-3	+0	+0	+4	+5	0.7
2034	26	MLB CTX	TEX	60%	268	238	56	9	2	6	23	62	5	5	2	233	315	357	672	124	289	23	9	304	90	-3	+0	+0	+5	+6	0.8
2035	27	MLB CTX	TEX	62%	276	245	57	9	2	6	24	64	5	5	2	232	314	354	668	122	288	23	9	302	89	-3	+0	+0	+5	+6	0.8
2036	28	MLB CTX	TEX	63%	281	250	58	9	2	6	24	66	5	4	2	230	312	349	661	119	287	23	9	300	88	-4	+0	-0	+5	+6	0.7
2037	29	MLB CTX	TEX	64%	284	252	57	9	1	6	25	68	5	4	2	227	309	342	651	115	286	24	9	296	85	-5	+0	-1	+5	+6	0.5
2038	30	MLB CTX	TEX	65%	289	257	57	9	1	5	25	70	5	4	3	224	306	334	639	110	284	24	9	291	82	-6	-0	-1	+5	+6	0.3
2039	31	MLB CTX	TEX	65%	277	246	55	9	1	5	24	68	5	3	4	220	301	323	624	103	281	25	9	285	78	-7	-1	-2	+5	+6	0.1
2040	32	MLB CTX	TEX	65%	264	235	50	8	1	4	22	66	5	3	7	214	294	310	605	96	277	25	8	277	73	-9	-2	-2	+5	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2955	2624	597	94	15	59	255	700	55	46	30	228	309	342	651	115	287	24	9	296	84	-52	-3	-7	+53	+64	5.6
/ 162G	—	A+C		—	650	577	131	21	3	13	56	154	12	10	7	227	308	341	649	114	286	24	9	296	84	-11	-1	-1	+12	+14	1.2
Career	—	MLE		—	5349	4721	1057	172	28	93	472	1256	118	82	46	224	310	331	641	107	284	23	9	292	84	-87	-2	-10	+89	+108	9.9
/ 162G	—	MLE		—	650	574	128	21	3	11	57	153	14	10	6	223	308	328	636	105	283	24	9	292	84	-11	-0	-1	+12	+14	1.3

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 ROKACL Rangers · 74 PAwOBA .395 → .301 (−95)K% 20.3% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.27%	÷1.000	×1.440	—	—	29.19%
BB% (unintentional) /PA	22.97%	÷1.000	×0.620	—	×1.008	14.35%
HBP% /PA	9.46%	—	×0.720	—	×1.008	6.86%
Singles /BIP	33.33%	÷1.000	×0.820	—	×1.008	27.54%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×1.008	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×1.008	0.00%
Home runs /BIP	3.03%	÷1.000	×0.780	—	×1.008	2.38%

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 .395 → .301; ISO .062 → .055; BABIP .324 → .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 ROKACL Rangers · 135 PAwOBA .304 → .232 (−72)K% 16.3% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.30%	÷0.981	×1.440	—	—	23.93%
BB% (unintentional) /PA	9.63%	÷1.016	×0.620	—	×1.022	6.01%
HBP% /PA	4.44%	—	×0.720	—	×1.022	3.27%
Singles /BIP	23.91%	÷0.991	×0.820	×1.050	×1.022	21.24%
Doubles /BIP	3.26%	÷1.017	×0.720	×1.050	×1.022	2.48%
Triples /BIP	0.00%	÷1.138	×0.720	×1.050	×1.022	0.00%
Home runs /BIP	2.17%	÷1.302	×0.780	—	×1.022	1.33%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 160, 1B 98, 2B 103, 3B 128, K 96, BB 103 — 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 .304 → .232; ISO .079 → .051; BABIP .278 → .240. 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 Rangers Blue · 163 PAwOBA .389 → .278 (−111)K% 11.7% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.66%	÷0.988	×1.220	—	—	14.39%
BB% (unintentional) /PA	17.18%	÷0.955	×0.700	—	×1.022	12.87%
HBP% /PA	5.52%	—	×0.700	—	×1.022	3.95%
Singles /BIP	23.81%	÷1.017	×0.680	×1.009	×1.022	16.42%
Doubles /BIP	8.57%	÷0.986	×0.600	×1.009	×1.022	5.38%
Triples /BIP	0.95%	÷1.150	×0.600	×1.009	×1.022	0.51%
Home runs /BIP	0.95%	÷1.059	×0.470	—	×1.022	0.43%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 103, 2B 97, 3B 130, K 98, BB 91 — 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 ×1.009.

Result: wOBA .389 → .278; ISO .113 → .070; BABIP .333 → .222. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	4.5	3,000	55	46	228	306	339	+54	+36	8.1	7.1
/162	664	12	10	+11.9	+8.0	1.8	pk7: 6
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	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
Javier Sanchez (OGILVIE)	19	43→48	35→40	43→48	58	215/298/303	88	283	1	1	24%	8%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jesus Rodriguez 2021 · A	19	45→55	40→45	49→50	48	215/278/314	99	274	7	9	23%	8%	68	-1.0	227/295/327	100	280	6	12	20%	8%	78	-0.3	265/326/372	107	319	9	16	19%	7%	96	+0.8
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Jeferson Quero 2022 · A	19	48→47	43→50	47→45	49	230/305/343	113	283	9	10	21%	8%	86	+0.3	230/284/354	124	292	13	8	25%	6%	80	-0.2	230/288/365	135	277	16	6	23%	7%	82	+0.0
✕Jancel Villarroel 2024 · A	19	46	40→45	44→50	53	218/308/313	95	272	6	8	21%	10%	80	-0.1	214/289/309	95	287	8	11	26%	7%	72	-0.7	215/287/315	100	285	9	11	26%	6%	70	-0.5
✕Juan Fernandez 2018 · A	19	47→57	41→40	48→50	48	226/294/329	103	270	7	6	19%	7%	78	-0.3	206/264/285	79	270	5	4	24%	6%	57	-1.8	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Alexander Albertus 2024 · A	19	49	41→45	47→45	61	232/339/328	96	275	9	11	18%	13%	95	+1.0	228/315/321	93	292	7	9	22%	10%	84	+0.2	225/311/319	93	294	7	6	24%	10%	80	-0.1
✕Andy Paz 2012 · A	19	47	36→40	44→45	52	220/303/284	64	270	3	8	18%	9%	72	-0.7	199/266/269	70	259	4	5	23%	8%	53	-2.1	215/270/283	69	275	5	4	23%	7%	55	-0.5
✕Aron Estrada 2024 · A	19	47→54	41→50	52→55	54	220/310/327	107	272	6	9	20%	10%	84	+0.2	247/301/365	118	304	11	21	22%	6%	88	+0.5	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Jonathan Galvez 2010 · A	19	43→51	42→50	50→55	51	209/299/315	106	278	8	12	26%	10%	77	-0.3	225/289/347	122	328	11	16	32%	7%	80	-0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1
✕Christian Arroyo 2014 · A	19	49→58	40→50	49→45	44	233/282/342	109	300	5	6	23%	6%	76	-0.4	240/274/341	101	305	7	4	23%	4%	72	-0.7	254/305/408	153	304	17	7	22%	5%	100	+0.5
✕Jacob Amaya 2018 · A	19	44→47	39→45	48→45	46	211/280/295	84	285	6	8	27%	8%	65	-1.2	225/304/318	93	298	6	8	24%	10%	79	-0.2	218/291/330	112	279	11	6	25%	9%	75	-0.4
✕Luis Caicuto 2023 · A	20	51	38→45	46→50	46	241/301/323	82	302	5	7	21%	6%	78	-0.3	211/281/274	63	283	2	5	24%	7%	61	-1.5	197/271/279	82	244	7	8	21%	7%	57	-0.7
✕Luis Torrens 2016 · A	20	43→49	39→50	49→40	45	207/279/288	81	285	6	6	28%	8%	63	-1.3	212/273/295	83	270	6	4	22%	7%	62	-1.4	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕George Lombard Jr. 2024 · A	19	51→48	39→45	48→55	49	232/311/316	85	335	6	12	30%	10%	81	-0.1	208/291/311	103	304	8	22	31%	9%	74	-0.6	208/297/325	117	296	10	23	30%	10%	77	-0.3
✕Wilfredo Rodriguez 2014 · A	20	48	39→40	47→50	44	231/276/323	91	287	5	5	21%	6%	69	-0.9	235/273/310	75	276	5	6	16%	4%	64	-1.3	240/274/305	65	276	5	5	15%	4%	63	-0.7
✕Nacho Alvarez Jr. 2023 · A	20	51→54	39→40	55→50	58	237/332/330	93	293	6	14	20%	12%	93	+0.8	243/319/335	92	311	8	14	23%	8%	88	+0.5	244/321/332	88	312	8	14	22%	8%	87	+0.2
✕Victor Bericoto 2021 · A	19	50→49	40→50	51→40	49	230/310/323	93	327	7	10	30%	10%	82	+0.0	224/286/341	117	319	13	5	31%	8%	78	-0.3	230/278/364	134	300	16	3	28%	6%	78	-0.2
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Jonathan Ornelas 2019 · A	19	46→56	40→45	53→50	44	219/282/318	99	308	7	14	30%	8%	70	-0.8	209/265/301	92	294	7	10	29%	6%	60	-1.6	251/312/338	87	342	8	12	27%	7%	83	+0.1

Javier Sanchez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps