Luis Escudero

2B Tampa Tarpons

Age 21 S/R 5'8" / 165 lbs A HR +14% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#275ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL NYY Bombe…	160	.287/.453/.418	1	26	67	—	.174/.314/.227
2025	19	ROKNYY	189	.212/.339/.314	3	13	19	—	.138/.226/.180
2026	20	A/ROKNYY	227	.281/.456/.538	11	18	118	—	.226/.363/.419
2027PROJMLE	21	MLBNYY	337	.220/.321/.351	7	8	93	0.3
2028PROJ43% MLB	22	MLBNYY	77	.225/.324/.366	2	2	95	0.2
2029PROJ61% MLB	23	MLBNYY	163	.228/.326/.373	4	4	97	0.4

Next 3 projected WAR 0.9Projected 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%91

Chase%87

Whiff%84

K%82

Z-Con%79

Speed69

Career WAR0.0 WAR median (P10 -0.1 / P90 16, comp-based) · star 7% · didn't stick 69%

CompsJuan Brito (age 21) · Bryan Rincon (age 20) · Brainer Bonaci (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 132 proj PA

wRC+†93

AVG/OBP/SLG.218 / .318 / .347

PA132

HR3

K%23

BB%12

ISO131

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$32M ctrl surplus

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED55

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	+0.8	$2M	+$2M
2033	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$2M	+0.5	$1M	+$0.2M
2036	Arb-2	$2M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$8M	+$5M

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 NYY Yankees	—	133	101	25	4	2	2	27	25	4	4	3	248	424	386	810	139	307	19	20	374	50	—	—	—	—	—	—
2024	18	ROK	DSL NYY Bombers	—	160	122	35	5	4	1	34	12	3	26	5	287	453	418	871	131	309	8	21	397	67	—	—	—	—	—	—
2025	19	ROK	FCL Yankees	—	189	156	33	3	2	3	30	28	0	13	5	212	339	314	653	103	234	15	16	301	19	—	—	—	—	—	—
2026	20	A	Tampa Tarpons	—	202	153	44	11	0	10	45	34	3	14	2	288	458	556	1.013	268	309	17	22	442	124	—	—	—	—	—	—
2026	20	ROK	FCL Yankees	—	25	18	4	0	0	1	6	5	1	4	0	222	440	389	829	167	250	20	24	389	73	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL NYY Yankees	—	133	109	17	2	1	1	19	31	4	4	3	156	303	220	523	64	200	23	14	242	50	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Bombers	—	160	132	23	3	2	0	24	15	3	26	5	174	314	227	542	53	199	9	15	267	67	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	189	167	23	2	1	1	19	40	0	13	5	138	226	180	405	42	169	21	10	196	19	—	—	—	—	—	—
2026	20	A MLE	Tampa Tarpons	—	202	166	38	9	0	8	32	46	3	14	2	229	363	428	791	199	265	23	16	351	124	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	25	20	4	0	0	1	4	7	1	4	0	200	360	350	710	150	200	28	16	276	73	—	—	—	—	—	—
2023	17	ROK MLE	DSL NYY Yankees	—	133	109	17	2	1	1	19	31	4	4	3	156	303	220	523	64	205	23	14	242	50	—	—	—	—	—	—
2023	17	ROK RAW	DSL NYY Yankees	—	133	101	25	4	2	2	27	25	4	4	3	248	424	386	810	139	307	19	20	374	50	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Bombers	—	160	132	23	3	2	0	24	15	3	26	5	174	314	227	542	53	195	9	15	267	67	—	—	—	—	—	—
2024	18	ROK RAW	DSL NYY Bombers	—	160	122	35	5	4	1	34	12	3	26	5	287	453	418	871	131	309	8	21	397	67	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	189	167	23	2	1	1	19	40	0	13	5	138	226	180	405	42	171	21	10	196	19	—	—	—	—	—	—
2025	19	ROK RAW	FCL Yankees	—	189	156	33	3	2	3	30	28	0	13	5	212	339	314	653	103	234	15	16	301	19	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	227	186	42	9	0	9	36	53	4	18	2	226	363	419	782	194	264	23	16	343	118	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	227	171	48	11	0	11	51	39	4	18	2	281	456	538	994	257	303	17	22	436	118	—	—	—	—	—	—
2023	17	ROK MLE	DSL NYY Yankees	—	133	109	17	2	1	1	19	31	4	4	3	156	303	220	523	64	200	23	14	242	50	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Bombers	—	160	132	23	3	2	0	24	15	3	26	5	174	314	227	542	53	199	9	15	267	67	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	189	168	23	2	1	1	19	40	0	13	5	137	226	179	404	42	169	21	10	196	19	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	227	185	42	9	0	9	36	53	4	18	2	227	363	422	784	195	258	23	16	343	118	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL NYY Bombers	—	160	132	23	3	2	0	24	15	3	26	5	174	314	227	542	53	199	9	15	267	67	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	189	168	23	2	1	1	19	40	0	13	5	137	226	179	404	42	169	21	10	196	19	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	227	185	42	9	0	9	36	53	4	18	2	227	363	422	784	195	258	23	16	343	118	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	NYY	0%	337	291	64	12	2	7	40	77	3	8	2	220	321	351	671	131	270	23	12	305	93	-3	+1	+0	+1	+7	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYY	43%	178	153	34	6	1	4	21	40	2	4	1	223	323	359	682	136	272	22	12	309	95	-1	+0	+0	+1	+4	0.4
2029	23	MLB MLE	NYY	61%	268	232	53	10	1	7	31	60	3	7	1	226	325	366	691	140	274	22	12	312	97	-1	+1	+0	+1	+6	0.7
2030	24	MLB MLE	NYY	66%	348	301	69	13	2	9	40	77	4	9	2	228	326	371	697	143	275	22	11	314	99	-0	+1	+0	+1	+8	1.0
2031	25	MLB MLE	NYY	69%	390	339	78	15	2	10	44	87	4	9	2	230	326	374	700	144	276	22	11	316	100	-0	+1	+0	+1	+8	1.1
2032	26	MLB MLE	NYY	70%	413	359	83	16	2	11	47	92	4	10	2	230	326	375	701	145	277	22	11	316	100	-0	+1	+0	+1	+9	1.2
2033	27	MLB MLE	NYY	69%	423	368	84	16	2	11	48	95	4	10	2	229	325	373	697	144	276	22	11	314	99	-1	+1	+0	+2	+9	1.2
2034	28	MLB MLE	NYY	68%	423	368	84	16	2	11	48	95	4	8	2	227	322	368	690	141	275	22	11	312	97	-2	+1	-1	+2	+9	0.9
2035	29	MLB MLE	NYY	67%	414	361	81	15	2	10	46	95	4	6	2	225	320	361	681	137	274	23	11	308	94	-3	+0	-1	+1	+9	0.7
2036	30	MLB MLE	NYY	72%	403	351	78	15	2	9	45	93	4	4	1	221	316	353	669	132	272	23	11	303	91	-4	+0	-2	+1	+9	0.4
2037	31	MLB MLE	NYY	75%	387	338	74	14	2	9	43	91	3	2	1	217	311	343	654	126	268	24	11	297	87	-6	+0	-3	+1	+8	0.1
2038	32	MLB MLE	NYY	77%	366	320	67	12	1	8	40	88	3	1	1	211	305	330	634	118	264	24	11	289	82	-8	-0	-4	+1	+8	-0.2
2028	22	MLB CTX	NYY	43%	77	67	15	3	0	2	9	17	1	2	0	225	324	366	690	141	272	22	12	312	95	-0	+0	+0	+0	+2	0.2
2029	23	MLB CTX	NYY	61%	163	141	32	6	1	4	19	36	2	4	1	228	326	373	699	145	274	22	12	315	97	-0	+0	+0	+1	+4	0.4
2030	24	MLB CTX	NYY	66%	230	200	45	8	1	6	26	51	2	6	1	230	327	378	705	148	275	22	11	318	99	-0	+1	+0	+1	+5	0.6
2031	25	MLB CTX	NYY	69%	268	232	53	10	1	7	31	60	3	6	1	231	327	381	708	150	276	22	12	319	100	-0	+1	+0	+1	+6	0.8
2032	26	MLB CTX	NYY	70%	288	251	59	11	2	8	32	64	3	7	1	232	327	383	709	151	277	22	11	319	100	-0	+1	+0	+1	+6	0.8
2033	27	MLB CTX	NYY	69%	292	254	58	11	1	8	33	65	3	7	1	231	326	380	705	149	276	22	11	317	99	-0	+1	+0	+1	+6	0.8
2034	28	MLB CTX	NYY	68%	290	252	58	11	1	8	33	65	3	6	1	229	324	375	698	146	275	22	11	315	97	-1	+1	-0	+1	+6	0.7
2035	29	MLB CTX	NYY	67%	276	240	54	10	1	7	31	63	3	4	1	226	321	368	689	142	274	23	11	311	94	-2	+0	-1	+1	+6	0.5
2036	30	MLB CTX	NYY	72%	288	251	55	10	1	7	32	67	3	3	1	223	317	359	676	137	272	23	11	306	91	-3	+0	-2	+1	+6	0.3
2037	31	MLB CTX	NYY	75%	290	254	55	10	1	7	32	68	2	1	1	218	312	349	661	130	268	23	11	300	87	-4	-0	-2	+1	+6	0.1
2038	32	MLB CTX	NYY	77%	282	247	52	9	1	6	31	68	2	1	0	213	306	335	641	123	264	24	11	292	82	-6	+0	-3	+1	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2744	2389	536	99	11	70	309	624	27	47	9	224	320	363	683	139	273	23	11	311	91	-18	+6	-8	+10	+59	5.0
/ 162G	—	A+C		—	650	566	127	23	3	17	73	148	6	11	2	224	319	366	685	141	273	23	11	311	91	-4	+1	-2	+2	+14	1.2
Career	—	MLE		—	4854	4198	916	169	24	113	567	1082	51	134	33	218	319	351	669	132	265	22	12	302	91	-26	+7	-10	+15	+90	7.7
/ 162G	—	MLE		—	650	562	123	23	3	15	76	145	7	18	4	219	319	351	670	132	266	22	12	302	91	-4	+1	-2	+2	+14	1.2

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 ATampa Tarpons · 202 PAwOBA .434 → .351 (−83)K% 16.8% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.83%	÷1.000	×1.360	—	—	22.89%
BB% (unintentional) /PA	22.28%	÷1.000	×0.690	—	×1.030	15.83%
HBP% /PA	1.49%	—	×0.780	—	×1.030	1.19%
Singles /BIP	19.33%	÷1.000	×0.920	×0.950	×1.030	17.40%
Doubles /BIP	9.24%	÷1.000	×0.830	×0.950	×1.030	7.51%
Triples /BIP	0.00%	÷1.000	×0.910	×0.950	×1.030	0.00%
Home runs /BIP	8.40%	÷1.000	×0.800	—	×1.030	6.92%

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 ×0.950.

Result: wOBA .434 → .351; ISO .268 → .224; BABIP .309 → .265. 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 ROKFCL Yankees · 25 PAwOBA .380 → .276 (−105)K% 20.0% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.000	×1.440	—	—	28.80%
BB% (unintentional) /PA	24.00%	÷1.000	×0.620	—	×0.995	14.81%
HBP% /PA	4.00%	—	×0.720	—	×0.995	2.87%
Singles /BIP	23.08%	÷1.000	×0.820	—	×0.995	18.83%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Home runs /BIP	7.69%	÷1.000	×0.780	—	×0.995	5.97%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .380 → .276; ISO .167 → .133; BABIP .250 → .200. 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 ROKFCL Yankees · 189 PAwOBA .299 → .196 (−102)K% 14.8% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.81%	÷1.001	×1.440	—	—	21.32%
BB% (unintentional) /PA	15.87%	÷1.000	×0.620	—	×1.008	9.91%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	19.53%	÷1.056	×0.820	×0.950	×1.008	14.51%
Doubles /BIP	2.34%	÷1.043	×0.720	×0.950	×1.008	1.55%
Triples /BIP	1.56%	÷1.008	×0.720	×0.950	×1.008	1.07%
Home runs /BIP	2.34%	÷2.059	×0.780	—	×1.008	0.89%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 312, 1B 111, 2B 109, 3B 102, K 100, BB 100 — 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 ×0.950.

Result: wOBA .299 → .196; ISO .103 → .053; BABIP .234 → .169. 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 NYY Bombers · 160 PAwOBA .391 → .267 (−124)K% 7.5% → 9.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.50%	÷1.003	×1.220	—	—	9.12%
BB% (unintentional) /PA	21.25%	÷1.005	×0.700	—	×1.008	14.92%
HBP% /PA	1.88%	—	×0.700	—	×1.008	1.32%
Singles /BIP	22.73%	÷1.008	×0.680	×1.002	×1.008	15.48%
Doubles /BIP	4.55%	÷1.038	×0.600	×1.002	×1.008	2.65%
Triples /BIP	3.64%	÷1.150	×0.600	×1.002	×1.008	1.92%
Home runs /BIP	0.91%	÷1.658	×0.470	—	×1.008	0.26%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 232, 1B 102, 2B 108, 3B 130, K 101, BB 101 — 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 .391 → .267; ISO .131 → .071; BABIP .309 → .199. 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 NYY Yankees · 133 PAwOBA .368 → .242 (−126)K% 18.8% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.80%	÷0.975	×1.220	—	—	23.51%
BB% (unintentional) /PA	20.30%	÷1.035	×0.700	—	×1.022	14.04%
HBP% /PA	3.01%	—	×0.700	—	×1.022	2.15%
Singles /BIP	22.37%	÷0.970	×0.680	×0.973	×1.022	15.61%
Doubles /BIP	5.26%	÷1.041	×0.600	×0.973	×1.022	3.02%
Triples /BIP	2.63%	÷1.083	×0.600	×0.973	×1.022	1.45%
Home runs /BIP	2.63%	÷1.724	×0.470	—	×1.022	0.73%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 245, 1B 94, 2B 108, 3B 117, K 95, BB 107 — 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 ×0.973.

Result: wOBA .368 → .242; ISO .139 → .064; BABIP .307 → .200. 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
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#2Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.3	2,876	69	50	225	317	362	+10	+8	7.4	6.6
/162	664	16	12	+2.4	+1.8	1.7	pk7: 6
#4Damian 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
#5Ed Spiezio'64-'72 * career totals — 7 seasons, 1,716 PA	2.6	1,716	39	16	238*	304*	389*	+5	+8	4.7	4.9
/162	664	15	6	+1.9	+3.3	1.8	pk7: 5
#6Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3

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
Luis Escudero (OGILVIE)	21	35	25	55	60	218/318/347	129	270	3	3	23%	12%	93	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Brito 2023 · A	21	48→50	45→50	48→45	53	234/319/371	136	287	12	11	22%	10%	97	+1.1	231/311/367	136	281	13	9	21%	10%	93	+0.8	225/308/360	135	270	13	9	21%	10%	89	+0.4
●Bryan Rincon 2024 · A	20	43→47	43→45	49→55	54	210/307/319	109	268	10	19	24%	11%	82	-0.0	196/286/316	120	277	12	25	31%	10%	73	-0.6	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Brainer Bonaci 2023 · A	21	45→46	40→45	55→50	53	211/302/310	100	290	7	16	27%	11%	77	-0.3	227/287/348	121	312	12	11	29%	8%	80	-0.2	232/274/365	133	311	17	8	30%	5%	76	-0.3
✕Harry Ford 2024 · A	21	46→53	46→45	52→55	56	220/336/355	135	298	13	15	28%	13%	101	+1.4	227/331/344	117	301	11	16	25%	12%	97	+1.1	223/330/334	111	296	10	16	25%	12%	91	+0.5
✕Nelson Quiroz 2024 · A	22	47	44→40	49→40	49	232/294/354	122	277	11	6	20%	8%	84	+0.1	243/290/320	77	279	4	3	14%	6%	74	-0.6	263/309/325	62	294	2	0	11%	6%	77	-0.1
✕Colin Walsh 2011 · A	21	44→52	40→45	53→50	52	213/295/309	95	271	8	10	23%	10%	74	-0.6	224/297/348	124	275	11	8	21%	9%	84	+0.1	214/321/331	117	302	10	7	29%	13%	87	+0.3
✕Oliver Carrillo 2023 · A	21	42→28	46→45	52→45	49	210/293/339	129	282	13	7	29%	10%	80	-0.1	187/296/309	122	278	13	4	34%	12%	76	-0.4	158/271/272	114	242	14	3	37%	11%	58	-0.8
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	227/308/323	96	307	7	7	26%	9%	82	+0.0	224/297/299	75	308	5	6	26%	8%	72	-0.7	277/345/359	82	319	4	2	13%	7%	103	+0.5
✕Cole Young 2024 · A	21	51→52	45	50	54	244/332/376	133	293	10	12	20%	10%	103	+1.6	242/323/366	124	285	11	11	18%	9%	97	+1.1	242/321/366	124	279	12	9	17%	9%	95	+0.9
✕Ricardo Ferreira 2015 · A	20	46	36→30	55→60	54	207/312/275	67	298	3	21	28%	12%	74	-0.6	231/313/303	72	312	3	22	24%	10%	79	-0.2	242/324/311	68	323	3	29	23%	10%	82	+0.0
✕Darrien Miller 2022 · A	21	45→42	45	50→45	48	218/318/334	116	300	13	8	30%	10%	90	+0.6	197/302/311	114	264	12	6	28%	9%	79	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Allan Castro 2024 · A	21	42→45	42→45	52→50	47	205/277/316	111	276	7	12	27%	8%	69	-0.9	213/282/329	116	284	11	15	27%	8%	74	-0.6	212/279/324	113	274	12	17	26%	8%	69	-0.7
✕Luke Adams 2024 · A	20	42→39	44→50	53→55	51	201/318/323	122	288	11	21	31%	11%	88	+0.4	207/347/351	144	268	15	19	27%	12%	106	+1.8	200/355/358	159	246	17	19	24%	12%	108	+1.1
✕Angel Martínez 2023 · AA	21	46→50	45→50	48→50	47	228/296/358	131	289	11	11	25%	8%	86	+0.3	231/289/358	127	289	12	10	23%	7%	82	+0.0	236/284/389	154	280	16	12	22%	5%	89	+0.4
✕Ramon Soto 2009 · AAA	21	46	42→30	51→45	46	223/286/326	103	285	10	12	25%	7%	74	-0.5	241/289/307	66	295	5	8	19%	5%	70	-0.8	280/326/334	54	343	1	7	18%	5%	86	+0.1
✕Geraldo Quintero 2023 · A	21	45→47	41→40	56→60	47	216/284/325	109	278	7	20	24%	8%	73	-0.6	213/279/301	88	280	6	26	25%	7%	66	-1.1	202/273/285	83	265	7	32	25%	7%	57	-1.2
✕Nolan Fontana 2013 · A	22	47→45	40	53→50	64	216/347/316	100	299	6	15	26%	16%	97	+1.1	216/325/314	98	314	6	11	29%	14%	87	+0.4	211/322/306	95	307	5	9	29%	13%	82	-0.0
✕Jose Perez 2024 · A	20	39	38→40	45	60	185/303/270	86	239	4	7	22%	13%	70	-0.9	192/299/267	75	259	4	6	24%	12%	67	-1.1	184/302/248	64	242	3	5	22%	13%	61	-0.6
✕Emmanuel Rodriguez 2024 · A	21	44→40	50→45	55→50	55	201/327/360	159	328	16	16	38%	15%	99	+1.2	225/344/381	156	362	16	16	36%	14%	109	+2.0	227/352/388	161	353	18	17	35%	15%	110	+0.9
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8

Luis Escudero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps