Luis Puello

C Tampa Tarpons

Age 21 R/R 5'9" / 162 lbs A HR +14% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#312ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL NYY Yanke…	139	.361/.439/.516	4	3	68	—	.232/.309/.320
2025	19	ROKNYY	131	.227/.292/.361	3	4	-4	—	.131/.185/.189
2026	20	A/ROKNYY	342	.257/.328/.489	16	10	70	—	.206/.264/.373
2027PROJMLE	21	MLBNYY	452	.211/.267/.353	12	8	73	0.3
2028PROJ43% MLB	22	MLBNYY	123	.217/.274/.371	4	2	77	0.2
2029PROJ61% MLB	23	MLBNYY	224	.220/.278/.378	7	4	81	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

Max EV76

Speed73

K%37

BB%29

Z-Con%28

Whiff%23

Career WAR0.0 WAR median (P10 0.0 / P90 8.4, comp-based) · star 3% · didn't stick 82%

CompsJohan Mieses (age 21) · Sean Coyle (age 21) · Sicnarf Loopstok (age 23)

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

wRC+†73

AVG/OBP/SLG.209 / .265 / .350

PA210

HR6

K%27

BB%6

ISO142

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$28M ctrl surplus

Tools · ContractCON 25 / POW 50

Toolsscout grade

CONTACT25

scouting grade only

POWER50

scouting grade only

EYE45

scouting grade only

SPEED53

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	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$2M	+0.4	$0.9M	+$0.2M
2036	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$1.0M	—	—	—
Totals		$4M		$6M	+$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)
2023	17	ROK	DSL NYY Bombers	—	113	90	20	3	2	0	17	28	5	6	2	222	375	300	675	78	317	25	15	320	34	—	—	—	—	—	—
2024	18	ROK	DSL NYY Yankees	—	139	122	44	5	1	4	11	27	6	3	0	361	439	516	955	156	440	19	8	426	68	—	—	—	—	—	—
2025	19	ROK	FCL Yankees	—	131	119	27	7	0	3	7	46	4	4	0	227	292	361	654	134	338	35	5	293	-4	—	—	—	—	—	—
2026	20	A	Tampa Tarpons	—	316	283	72	16	3	14	27	89	4	8	5	254	327	481	808	226	320	28	9	353	70	—	—	—	—	—	—
2026	20	ROK	FCL Yankees	—	26	24	7	1	0	2	1	5	1	2	1	292	346	583	929	292	294	19	4	404	75	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL NYY Bombers	—	113	94	13	2	1	0	13	34	5	6	2	138	277	181	458	43	211	30	12	219	34	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Yankees	—	139	125	29	3	1	2	8	33	6	3	0	232	309	320	629	88	288	24	6	268	68	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	131	122	16	4	0	1	4	66	4	4	0	131	185	189	373	57	252	50	3	162	-4	—	—	—	—	—	—
2026	20	A MLE	Tampa Tarpons	—	316	292	60	13	3	10	19	121	4	8	5	205	263	373	637	168	300	38	6	272	70	—	—	—	—	—	—
2026	20	ROK MLE	FCL Yankees	—	26	24	5	1	0	1	1	7	1	2	1	208	269	375	644	167	228	27	4	279	75	—	—	—	—	—	—
2023	17	ROK MLE	DSL NYY Bombers	—	113	94	13	2	1	0	13	34	5	6	2	138	277	181	458	43	213	30	12	219	34	—	—	—	—	—	—
2023	17	ROK RAW	DSL NYY Bombers	—	113	90	20	3	2	0	17	28	5	6	2	222	375	300	675	78	317	25	15	320	34	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Yankees	—	139	125	29	3	1	2	8	33	6	3	0	232	309	320	629	88	300	24	6	268	68	—	—	—	—	—	—
2024	18	ROK RAW	DSL NYY Yankees	—	139	122	44	5	1	4	11	27	6	3	0	361	439	516	955	156	440	19	8	426	68	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	131	122	16	4	0	1	4	66	4	4	0	131	185	189	373	57	268	50	3	162	-4	—	—	—	—	—	—
2025	19	ROK RAW	FCL Yankees	—	131	119	27	7	0	3	7	46	4	4	0	227	292	361	654	134	338	35	5	293	-4	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	342	316	65	13	3	12	20	128	5	10	6	206	264	380	644	174	299	37	6	273	71	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	342	307	79	17	3	16	28	94	5	10	6	257	328	489	817	231	318	27	8	357	71	—	—	—	—	—	—
2023	17	ROK MLE	DSL NYY Bombers	—	113	94	13	2	1	0	13	34	5	6	2	138	277	181	458	43	211	30	12	219	34	—	—	—	—	—	—
2024	18	ROK MLE	DSL NYY Yankees	—	139	124	29	3	1	2	8	33	6	3	0	234	309	323	632	89	288	24	6	268	68	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	131	122	16	4	0	1	4	66	4	4	0	131	185	189	373	57	252	50	3	162	-4	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	342	314	65	13	3	12	20	128	5	10	6	207	264	382	646	175	295	37	6	273	71	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL NYY Yankees	—	139	124	29	3	1	2	8	33	6	3	0	234	309	323	632	89	288	24	6	268	68	—	—	—	—	—	—
2025	19	ROK MLE	FCL Yankees	—	131	122	16	4	0	1	4	66	4	4	0	131	185	189	373	57	252	50	3	162	-4	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	342	314	65	13	3	12	20	128	5	10	6	207	264	382	646	175	295	37	6	273	71	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	NYY	0%	452	418	87	17	2	12	26	122	5	8	3	211	267	353	620	142	265	27	6	276	73	-15	+0	+0	+8	+10	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	NYY	43%	284	262	57	11	2	8	17	75	3	5	2	215	272	363	636	148	267	26	6	282	77	-8	+0	+0	+5	+6	0.4
2029	23	MLB MLE	NYY	61%	368	338	74	14	2	11	23	96	4	7	2	219	277	370	647	151	269	26	6	287	81	-9	+1	+0	+7	+8	0.7
2030	24	MLB MLE	NYY	66%	423	388	86	17	2	13	27	109	5	8	2	221	280	375	655	154	271	26	6	291	83	-9	+1	+0	+8	+9	0.9
2031	25	MLB MLE	NYY	69%	445	408	90	17	2	14	29	114	5	8	3	223	283	378	661	155	272	26	7	293	85	-8	+0	+0	+8	+10	1.0
2032	26	MLB MLE	NYY	70%	445	407	91	18	2	14	30	113	5	8	3	224	285	379	664	155	273	25	7	295	85	-8	+0	+0	+8	+10	1.0
2033	27	MLB MLE	NYY	69%	445	407	89	17	2	13	30	114	5	7	3	223	284	376	660	154	272	26	7	293	84	-8	+0	+0	+8	+10	1.0
2034	28	MLB MLE	NYY	68%	445	407	89	17	2	13	30	114	5	6	2	221	282	372	653	151	271	26	7	290	83	-9	+0	-1	+8	+10	0.8
2035	29	MLB MLE	NYY	67%	445	408	89	17	2	13	29	116	5	4	2	218	279	365	644	147	269	26	7	287	80	-11	+0	-1	+8	+10	0.6
2036	30	MLB MLE	NYY	72%	445	409	88	17	2	12	29	117	4	3	2	215	275	358	633	142	267	26	7	282	77	-12	-0	-2	+8	+10	0.3
2037	31	MLB MLE	NYY	75%	413	379	80	15	2	11	27	110	4	2	1	211	270	348	618	137	264	27	7	276	73	-13	+0	-3	+7	+9	0.0
2028	22	MLB CTX	NYY	43%	123	114	25	5	1	4	7	33	1	2	1	217	274	371	645	154	267	27	6	286	77	-3	+0	+0	+2	+3	0.2
2029	23	MLB CTX	NYY	61%	224	205	45	9	1	7	14	58	3	4	1	220	278	378	656	158	269	26	6	291	81	-5	+0	+0	+4	+5	0.4
2030	24	MLB CTX	NYY	66%	280	257	58	11	2	9	18	72	3	5	2	223	282	383	665	160	271	26	6	295	83	-6	+0	+0	+5	+6	0.6
2031	25	MLB CTX	NYY	69%	306	280	63	12	2	10	20	78	3	5	2	225	285	386	670	161	272	25	7	297	85	-6	+0	+0	+5	+7	0.7
2032	26	MLB CTX	NYY	70%	311	284	64	12	2	10	21	79	3	5	2	225	286	387	673	162	273	25	7	298	85	-5	+0	+0	+6	+7	0.7
2033	27	MLB CTX	NYY	69%	307	280	64	12	2	10	21	78	3	5	2	224	285	384	670	160	272	25	7	297	84	-6	+0	+0	+5	+7	0.7
2034	28	MLB CTX	NYY	68%	305	279	63	12	2	10	20	78	3	4	2	222	283	379	663	157	271	26	7	294	83	-6	+0	-0	+5	+7	0.5
2035	29	MLB CTX	NYY	67%	297	272	59	11	1	9	20	77	3	3	1	220	280	373	653	153	270	26	7	290	80	-7	+0	-1	+5	+6	0.4
2036	30	MLB CTX	NYY	72%	318	291	62	12	1	9	21	84	3	2	1	217	276	365	641	148	268	26	7	285	77	-9	+0	-2	+6	+7	0.2
2037	31	MLB CTX	NYY	75%	309	283	60	11	1	9	20	83	3	2	1	213	271	355	626	142	264	27	6	279	73	-10	+0	-2	+6	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2780	2545	563	107	15	87	182	720	28	37	15	221	281	378	658	156	271	26	7	291	76	-63	+1	-5	+50	+60	4.4
/ 162G	—	A+C		—	650	595	132	25	4	20	43	168	7	9	4	222	283	378	661	156	273	26	7	291	76	-15	+0	-1	+12	+14	1.0
Career	—	MLE		—	5093	4664	997	190	26	143	328	1396	67	85	31	214	275	358	633	144	271	27	6	281	76	-101	+3	-7	+78	+95	6.9
/ 162G	—	MLE		—	650	595	126	24	3	18	42	178	9	11	4	212	274	353	627	141	269	27	6	281	76	-15	+0	-1	+12	+14	1.0

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 · 316 PAwOBA .345 → .272 (−73)K% 28.2% → 38.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.16%	÷1.000	×1.360	—	—	38.30%
BB% (unintentional) /PA	8.54%	÷1.000	×0.690	—	×1.030	6.07%
HBP% /PA	1.27%	—	×0.780	—	×1.030	1.02%
Singles /BIP	20.10%	÷1.000	×0.920	×1.030	×1.030	19.62%
Doubles /BIP	8.25%	÷1.000	×0.830	×1.030	×1.030	7.26%
Triples /BIP	1.55%	÷1.000	×0.910	×1.030	×1.030	1.49%
Home runs /BIP	7.22%	÷1.000	×0.800	—	×1.030	5.95%

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 ×1.030.

Result: wOBA .345 → .272; ISO .226 → .171; BABIP .320 → .300. 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 · 26 PAwOBA .392 → .279 (−112)K% 19.2% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷1.000	×1.440	—	—	27.69%
BB% (unintentional) /PA	3.85%	÷1.000	×0.620	—	×0.995	2.37%
HBP% /PA	3.85%	—	×0.720	—	×0.995	2.76%
Singles /BIP	21.05%	÷1.000	×0.820	—	×0.995	17.18%
Doubles /BIP	5.26%	÷1.000	×0.720	—	×0.995	3.77%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Home runs /BIP	10.53%	÷1.000	×0.780	—	×0.995	8.17%

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 .392 → .279; ISO .292 → .206; BABIP .294 → .228. 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 · 131 PAwOBA .288 → .162 (−125)K% 35.1% → 50.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.11%	÷1.001	×1.440	—	—	50.53%
BB% (unintentional) /PA	5.34%	÷1.000	×0.620	—	×1.008	3.34%
HBP% /PA	3.05%	—	×0.720	—	×1.008	2.21%
Singles /BIP	23.29%	÷1.056	×0.820	×1.014	×1.008	18.47%
Doubles /BIP	9.59%	÷1.043	×0.720	×1.014	×1.008	6.76%
Triples /BIP	0.00%	÷1.008	×0.720	×1.014	×1.008	0.00%
Home runs /BIP	4.11%	÷2.059	×0.780	—	×1.008	1.57%

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 ×1.014.

Result: wOBA .288 → .162; ISO .134 → .055; BABIP .338 → .252. 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 Yankees · 139 PAwOBA .415 → .268 (−147)K% 19.4% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷1.003	×1.220	—	—	23.62%
BB% (unintentional) /PA	7.91%	÷1.003	×0.700	—	×1.008	5.56%
HBP% /PA	4.32%	—	×0.700	—	×1.008	3.04%
Singles /BIP	35.79%	÷1.015	×0.680	×1.012	×1.008	24.45%
Doubles /BIP	5.26%	÷1.021	×0.600	×1.012	×1.008	3.15%
Triples /BIP	1.05%	÷1.000	×0.600	×1.012	×1.008	0.64%
Home runs /BIP	4.21%	÷0.952	×0.470	—	×1.008	2.09%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 104, 3B 100, 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 ×1.012.

Result: wOBA .415 → .268; ISO .156 → .083; BABIP .440 → .288. 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 Bombers · 113 PAwOBA .316 → .219 (−97)K% 24.8% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.78%	÷0.991	×1.220	—	—	30.52%
BB% (unintentional) /PA	15.04%	÷0.965	×0.700	—	×1.022	11.16%
HBP% /PA	4.42%	—	×0.700	—	×1.022	3.17%
Singles /BIP	24.19%	÷0.961	×0.680	×0.955	×1.022	16.71%
Doubles /BIP	4.84%	÷0.996	×0.600	×0.955	×1.022	2.85%
Triples /BIP	3.23%	÷0.996	×0.600	×0.955	×1.022	1.90%
Home runs /BIP	0.00%	÷1.463	×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 193, 1B 92, 2B 99, 3B 99, K 98, BB 93 — 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 ×0.955.

Result: wOBA .316 → .219; ISO .078 → .046; BABIP .317 → .211. 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
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#2Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	pk7: 9
#5John Bateman'63-'72 * career totals — 10 seasons, 3,585 PA	5.4	3,585	81	10	229*	274*	381*	+64	+0	8.2	8.5
/162	664	15	2	+11.9	+0.0	1.5	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.5	2,989	88	41	220	276	369	+53	+32	6.8	6.1
/162	664	19	9	+11.9	+7.1	1.5	pk7: 5
#6Fred 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

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 Puello (OGILVIE)	21	20→25	45→50	48→53	45	209/265/350	141	265	6	4	27%	6%	73	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Sicnarf Loopstok 2016 · A	23	41→36	49→50	53→50	39	208/269/355	147	289	16	9	33%	6%	75	-0.5	208/272/340	132	295	14	10	33%	6%	73	-0.6	202/272/344	143	283	16	9	33%	6%	74	-0.3
✕Freuddy Batista 2022 · A	22	38	50	46→40	41	202/264/358	156	275	19	7	33%	7%	74	-0.5	203/263/329	126	302	12	6	35%	6%	67	-1.1	206/259/338	132	266	17	4	29%	4%	64	-0.6
✕Orelvis Martinez 2021 · A	19	42→36	47→60	53→40	42	214/272/355	141	275	14	6	27%	6%	76	-0.4	204/272/397	193	262	26	4	32%	7%	86	+0.3	192/264/389	197	235	28	3	32%	7%	80	-0.1
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	208/273/317	109	269	11	18	26%	7%	68	-1.0	210/276/360	150	277	17	18	29%	7%	79	-0.2	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Marcus Greene Jr. 2016 · A	21	42	47→50	53→40	46	206/290/344	138	303	13	8	34%	10%	80	-0.1	197/258/319	122	274	14	4	32%	7%	63	-1.4	188/246/296	108	254	13	1	31%	6%	51	-0.9
✕Bryan Ramos 2022 · A	20	41→42	45→50	49→50	42	206/277/332	126	281	12	8	30%	7%	73	-0.6	219/279/362	143	273	18	5	26%	6%	80	-0.1	214/275/354	140	261	19	5	25%	6%	74	-0.4
✕Chris Williams 2019 · A	22	37→31	52→55	46→40	47	204/277/364	160	252	22	4	29%	9%	80	-0.1	180/269/315	135	277	15	4	37%	10%	67	-1.1	175/259/344	169	246	24	4	38%	9%	68	-0.7
✕Marcus Chiu 2019 · A	22	41→28	46→45	53→45	37	202/282/330	128	286	13	11	32%	5%	76	-0.4	180/268/302	122	313	13	6	44%	7%	64	-1.3	161/247/278	117	272	14	3	43%	7%	48	-1.5
✕Brennen Davis 2021 · A	21	48→43	47→50	51→45	43	237/301/376	139	306	15	9	27%	7%	92	+0.7	206/288/340	134	299	15	8	34%	8%	80	-0.2	188/287/362	173	236	23	4	30%	8%	83	+0.0
✕Kendall Simmons 2022 · A	22	41	48→50	49→50	39	208/274/357	149	292	15	9	33%	6%	78	-0.3	200/263/343	143	284	16	9	34%	6%	70	-0.8	201/265/348	147	289	17	7	35%	6%	70	-0.3
✕Sammy Hernandez 2024 · A	20	37	43→40	51→50	40	188/254/301	113	262	11	5	31%	6%	57	-1.8	203/291/298	95	270	8	9	26%	9%	71	-0.8	201/300/298	97	262	9	13	24%	10%	72	-0.4
✕Brayan Buelvas 2023 · A	21	36→45	47→50	50→55	40	190/251/322	132	249	14	13	30%	6%	61	-1.5	196/259/315	119	279	11	18	32%	7%	62	-1.4	205/266/334	130	290	12	14	32%	7%	66	-0.8
✕Tyler Kolodny 2009 · A	21	46→37	45	53→50	42	228/290/351	123	295	12	8	26%	6%	82	-0.0	205/278/334	129	276	13	8	29%	6%	74	-0.5	195/274/324	129	259	13	9	29%	6%	68	-0.5
✕Agustín Ramírez 2023 · A	21	43→48	45→55	51→55	44	213/272/340	128	284	12	11	29%	7%	72	-0.7	233/294/390	157	279	18	13	23%	7%	93	+0.8	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Kevin Padlo 2016 · A	20	39→42	46→55	50	46	197/276/332	135	270	13	8	31%	9%	73	-0.6	186/272/313	127	276	12	8	34%	10%	67	-1.1	196/269/361	165	267	20	12	33%	8%	75	-0.3
✕Yu Chang 2017 · A	21	41→47	45→50	49→45	38	207/258/338	131	290	12	8	32%	6%	66	-1.1	209/270/355	146	291	16	8	32%	7%	75	-0.5	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Rodolfo Durán 2019 · A	21	41	53→50	45	37	223/259/392	169	283	23	4	30%	4%	80	-0.2	205/240/335	130	273	16	4	30%	4%	59	-1.7	229/272/378	149	281	17	3	25%	5%	78	-0.2
✕Miguel Palma 2023 · A	21	43	48→45	46→40	46	218/292/360	142	271	17	4	26%	8%	85	+0.2	215/275/318	103	286	10	4	27%	7%	68	-1.0	202/263/285	84	272	8	3	27%	6%	55	-0.7

Luis Puello

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps