Luis Lameda

SS Wilson Warbirds

Age 21 S/R 5'10" / 160 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#614ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKMIL	155	.193/.395/.228	1	3	36	—	.148/.283/.180
2025	19	ACarolina Mudc…	287	.211/.366/.259	0	7	62	—	.198/.313/.239
2026	20	A+/AMIL	286	.245/.375/.318	2	12	64	—	.211/.311/.276
2027PROJMLE	21	MLBMIL	396	.202/.308/.257	1	7	67	0.0
2028PROJ34% MLB	22	MLBMIL	77	.207/.312/.281	1	1	75	0.0
2029PROJ48% MLB	23	MLBMIL	153	.213/.316/.302	2	3	81	0.2

Next 3 projected WAR 0.2Projected 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+

Chase%97

Z-Con%96

Whiff%94

K%73

BB%72

Speed38

Career WAR0.0 WAR median (P10 -0.0 / P90 2.6, comp-based) · star 1% · didn't stick 91%

CompsJuan Mosquera (age 21) · Jose Perez (age 20) · Kelvin Alarcon (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 171 proj PA

wRC+†67

AVG/OBP/SLG.200 / .306 / .255

PA171

HR1

K%23

BB%13

ISO55

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED45

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$0.6M	—	—	—
Totals		$3M		$4M	+$2M

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 Brewers 2	—	141	101	24	2	1	0	35	20	3	4	4	238	446	277	723	40	289	14	25	353	57	—	—	—	—	—	—
2024	18	ROK	ACL Brewers	—	155	114	22	1	0	1	36	34	2	3	4	193	395	228	623	35	256	22	23	310	36	—	—	—	—	—	—
2025	19	A	Carolina Mudcats	—	287	228	48	9	1	0	55	51	1	7	3	211	366	259	625	48	267	18	19	302	62	—	—	—	—	—	—
2026	20	A+	Wisconsin Timber Rattlers	—	56	48	7	2	1	0	8	11	0	0	0	146	268	229	497	83	189	20	14	239	19	—	—	—	—	—	—
2026	20	A	Wilson Warbirds	—	230	185	50	7	0	2	39	47	2	12	4	270	401	341	741	70	345	20	17	343	75	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Brewers 2	—	141	111	17	1	1	0	25	24	3	4	4	153	324	180	504	27	189	17	18	253	57	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	155	128	19	1	0	1	22	49	2	3	4	148	283	180	463	31	204	32	14	222	36	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	287	243	48	8	1	0	40	67	1	7	3	198	313	239	552	41	263	23	14	260	62	—	—	—	—	—	—
2026	20	A+ MLE	Wisconsin Timber Rattlers	—	56	50	7	2	1	0	6	14	0	0	0	140	232	220	452	80	178	25	11	196	19	—	—	—	—	—	—
2026	20	A MLE	Wilson Warbirds	—	230	197	45	6	0	2	28	64	2	12	4	228	330	289	620	61	311	28	12	279	75	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 2	—	141	111	17	1	1	0	25	24	3	4	4	153	324	180	504	27	191	17	18	253	57	—	—	—	—	—	—
2023	17	ROK RAW	DSL Brewers 2	—	141	101	24	2	1	0	35	20	3	4	4	238	446	277	723	40	289	14	25	353	57	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	155	128	19	1	0	1	22	49	2	3	4	148	283	180	463	31	222	32	14	222	36	—	—	—	—	—	—
2024	18	ROK RAW	ACL Brewers	—	155	114	22	1	0	1	36	34	2	3	4	193	395	228	623	35	256	22	23	310	36	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	287	243	48	8	1	0	40	67	1	7	3	198	313	239	552	41	268	23	14	260	62	—	—	—	—	—	—
2025	19	A RAW	Carolina Mudcats	—	287	228	48	9	1	0	55	51	1	7	3	211	366	259	625	48	267	18	19	302	62	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	286	247	51	7	1	2	34	78	2	12	4	206	307	267	575	61	288	27	12	263	64	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	286	233	57	9	1	2	47	58	2	12	4	245	375	318	692	73	312	20	16	323	64	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 2	—	141	112	17	1	1	0	25	24	3	4	4	152	324	179	502	27	189	17	18	253	57	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	155	130	19	1	0	1	22	49	2	3	4	146	283	177	460	31	204	32	14	222	36	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	287	244	48	8	1	0	40	67	1	7	3	197	313	238	551	41	263	23	14	260	62	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	286	248	51	7	1	2	34	78	2	12	4	206	307	266	574	60	285	27	12	263	64	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL Brewers	—	155	130	19	1	0	1	22	49	2	3	4	146	283	177	460	31	204	32	14	222	36	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	287	244	48	8	1	0	40	67	1	7	3	197	313	238	551	41	263	23	14	260	62	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	286	248	51	7	1	2	34	78	2	12	4	206	307	266	574	60	285	27	12	263	64	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	MIL	0%	396	341	68	12	1	1	50	92	2	7	3	202	308	257	565	55	269	23	13	267	67	-15	+0	+0	+4	+9	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	MIL	34%	224	193	41	7	1	2	28	51	1	4	1	209	314	284	598	75	271	23	12	280	75	-7	+0	+0	+2	+5	0.1
2029	23	MLB MLE	MIL	48%	315	271	58	10	1	4	39	71	2	6	2	215	318	305	623	89	273	23	12	289	81	-7	+0	+0	+3	+7	0.4
2030	24	MLB MLE	MIL	53%	382	330	72	12	1	6	47	85	2	7	2	220	321	319	640	99	275	22	12	295	86	-7	+1	+0	+4	+8	0.7
2031	25	MLB MLE	MIL	55%	419	362	81	14	2	7	51	93	3	7	2	222	323	328	651	106	276	22	12	298	88	-6	+1	+0	+4	+9	0.8
2032	26	MLB MLE	MIL	56%	439	380	85	14	2	8	53	98	3	7	2	223	323	334	656	110	277	22	12	300	89	-6	+1	+0	+5	+10	0.9
2033	27	MLB MLE	MIL	59%	445	385	86	15	2	8	54	99	3	7	3	222	322	331	653	109	276	22	12	299	88	-6	+0	+0	+5	+10	0.9
2034	28	MLB MLE	MIL	61%	444	385	85	14	2	8	53	100	3	6	2	221	320	326	646	106	275	23	12	296	87	-7	+0	-1	+5	+10	0.7
2035	29	MLB MLE	MIL	63%	435	377	82	14	1	7	52	99	3	5	2	218	317	320	638	102	274	23	12	293	84	-8	+0	-1	+5	+9	0.5
2036	30	MLB MLE	MIL	63%	423	368	79	13	1	7	50	98	2	4	3	215	314	313	626	97	273	23	12	289	81	-9	-0	-2	+5	+9	0.2
2037	31	MLB MLE	MIL	65%	407	354	75	13	1	6	48	96	2	3	4	211	309	303	612	92	270	24	12	283	78	-11	-1	-3	+4	+9	-0.2
2028	22	MLB CTX	MIL	34%	77	67	14	2	0	1	10	17	0	1	0	207	312	281	593	74	267	22	13	277	75	-2	+0	+0	+1	+2	0.0
2029	23	MLB CTX	MIL	48%	153	132	28	4	1	2	19	34	1	3	1	213	316	302	618	89	269	22	12	287	81	-3	+0	+0	+2	+3	0.2
2030	24	MLB CTX	MIL	53%	201	173	38	6	1	3	25	45	1	3	1	217	319	317	636	99	271	22	12	293	86	-3	+0	+0	+2	+4	0.3
2031	25	MLB CTX	MIL	55%	229	198	44	7	1	4	28	51	1	4	1	220	321	326	647	106	272	22	12	297	88	-3	+0	+0	+2	+5	0.5
2032	26	MLB CTX	MIL	56%	244	211	48	8	1	5	29	54	2	4	1	221	321	332	653	111	272	22	12	299	89	-3	+0	+0	+3	+5	0.5
2033	27	MLB CTX	MIL	59%	264	228	50	8	1	5	32	59	2	4	1	220	320	329	649	109	272	22	12	297	88	-4	+0	+0	+3	+6	0.5
2034	28	MLB CTX	MIL	61%	273	236	51	8	1	5	33	62	2	4	1	218	318	325	642	106	271	23	12	295	87	-4	+0	-0	+3	+6	0.5
2035	29	MLB CTX	MIL	63%	272	235	51	8	1	5	33	62	2	3	2	216	315	318	633	102	270	23	12	291	84	-5	-0	-1	+3	+6	0.3
2036	30	MLB CTX	MIL	63%	268	233	49	8	1	4	32	62	1	3	2	213	312	311	622	97	269	23	12	287	81	-6	-0	-1	+3	+6	0.1
2037	31	MLB CTX	MIL	65%	265	231	49	8	1	4	31	62	1	2	3	209	307	301	608	92	266	23	12	281	78	-7	-1	-2	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2246	1944	422	67	9	38	272	508	13	31	13	217	317	319	637	102	273	23	12	291	79	-41	+1	-4	+24	+49	2.9
/ 162G	—	A+C		—	650	563	122	19	3	11	79	147	4	9	4	217	318	320	638	103	272	23	12	291	79	-12	+0	-1	+7	+14	0.8
Career	—	MLE		—	4973	4280	909	148	18	67	618	1148	33	85	39	212	316	302	619	90	272	23	12	285	79	-80	+2	-7	+44	+89	5.0
/ 162G	—	MLE		—	650	559	118	19	2	9	81	150	4	11	5	211	315	301	615	89	270	23	12	285	79	-13	+0	-1	+7	+14	0.8

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 AWilson Warbirds · 230 PAwOBA .340 → .279 (−61)K% 20.4% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.43%	÷1.000	×1.360	—	—	27.79%
BB% (unintentional) /PA	16.96%	÷1.000	×0.690	—	×1.030	12.05%
HBP% /PA	0.87%	—	×0.780	—	×1.030	0.70%
Singles /BIP	29.71%	÷1.000	×0.920	×0.966	×1.030	27.19%
Doubles /BIP	5.07%	÷1.000	×0.830	×0.966	×1.030	4.19%
Triples /BIP	0.00%	÷1.000	×0.910	×0.966	×1.030	0.00%
Home runs /BIP	1.45%	÷1.000	×0.800	—	×1.030	1.19%

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 ×0.966.

Result: wOBA .340 → .279; ISO .070 → .057; BABIP .345 → .311. 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 A+Wisconsin Timber Rattlers · 56 PAwOBA .234 → .196 (−38)K% 19.6% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.64%	÷1.000	×1.270	—	—	24.95%
BB% (unintentional) /PA	14.29%	÷1.000	×0.710	—	×1.042	10.57%
HBP% /PA	0.00%	—	×0.790	—	×1.042	0.00%
Singles /BIP	10.81%	÷1.000	×0.920	×1.028	×1.042	10.65%
Doubles /BIP	5.41%	÷1.000	×0.810	×1.028	×1.042	4.69%
Triples /BIP	2.70%	÷1.000	×0.850	×1.028	×1.042	2.46%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.042	0.00%

Factors used: league row Midwest League. 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 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.

Result: wOBA .234 → .196; ISO .083 → .072; BABIP .189 → .178. 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 ACarolina Mudcats · 287 PAwOBA .299 → .260 (−39)K% 17.8% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.77%	÷1.033	×1.360	—	—	23.40%
BB% (unintentional) /PA	19.16%	÷0.981	×0.690	—	×1.045	14.08%
HBP% /PA	0.35%	—	×0.780	—	×1.045	0.28%
Singles /BIP	21.47%	÷0.948	×0.920	×1.003	×1.045	21.82%
Doubles /BIP	5.08%	÷1.002	×0.830	×1.003	×1.045	4.41%
Triples /BIP	0.56%	÷1.150	×0.910	×1.003	×1.045	0.47%
Home runs /BIP	0.00%	÷1.214	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .299 → .260; ISO .048 → .042; BABIP .267 → .263. 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 Brewers · 155 PAwOBA .310 → .222 (−88)K% 21.9% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.94%	÷1.002	×1.440	—	—	31.51%
BB% (unintentional) /PA	23.23%	÷1.014	×0.620	—	×1.022	14.52%
HBP% /PA	1.29%	—	×0.720	—	×1.022	0.95%
Singles /BIP	25.00%	÷1.015	×0.820	×0.972	×1.022	20.09%
Doubles /BIP	1.25%	÷1.088	×0.720	×0.972	×1.022	0.82%
Triples /BIP	0.00%	÷0.900	×0.720	×0.972	×1.022	0.00%
Home runs /BIP	1.25%	÷0.947	×0.780	—	×1.022	1.05%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 103, 2B 118, 3B 80, K 100, 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 ×0.972.

Result: wOBA .310 → .222; ISO .035 → .029; BABIP .256 → .204. 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 Brewers 2 · 141 PAwOBA .351 → .253 (−99)K% 14.2% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.18%	÷1.023	×1.220	—	—	16.92%
BB% (unintentional) /PA	24.82%	÷0.996	×0.700	—	×1.022	17.84%
HBP% /PA	2.13%	—	×0.700	—	×1.022	1.52%
Singles /BIP	25.93%	÷1.008	×0.680	×0.964	×1.022	17.24%
Doubles /BIP	2.47%	÷0.986	×0.600	×0.964	×1.022	1.48%
Triples /BIP	1.23%	÷1.125	×0.600	×0.964	×1.022	0.65%
Home runs /BIP	0.00%	÷1.904	×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 281, 1B 102, 2B 97, 3B 125, K 105, 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 ×0.964.

Result: wOBA .351 → .253; ISO .040 → .025; BABIP .289 → .189. 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
#1Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#4Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#5Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#6Gene 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.6	2,417	37	34	218	315	316	+26	+21	4.5	4.2
/162	664	10	9	+7.1	+5.8	1.2	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
Luis Lameda (OGILVIE)	21	35	20	45	60	200/306/255	55	269	1	3	23%	13%	67	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mosquera 2009 · A	21	41	33→30	46→55	54	187/287/229	41	257	1	14	25%	11%	54	-2.0	199/263/256	57	258	2	9	22%	7%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕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
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	54	197/295/255	58	274	3	8	26%	11%	63	-1.4	211/273/274	63	328	3	8	33%	7%	57	-1.8	202/264/238	35	318	0	8	34%	8%	43	-0.6
✕Adderly Rosa 2012 · A	21	40	34→30	48→50	56	183/280/237	54	228	2	14	19%	11%	53	-2.1	191/262/249	58	257	2	11	24%	8%	48	-2.5	167/205/199	32	222	0	4	24%	5%	10	-1.2
✕Pedro Ruiz 2012 · A	20	43	34→30	48→50	55	198/296/248	50	274	1	11	25%	11%	61	-1.5	207/277/269	62	318	2	10	32%	8%	57	-1.8	186/263/241	55	292	3	8	34%	9%	44	-1.3
✕Yonathan Mendoza 2015 · A	21	46	35→30	46→45	50	216/280/274	58	267	2	8	19%	8%	59	-1.6	244/296/307	63	293	3	6	17%	7%	72	-0.7	255/305/308	53	303	3	5	16%	6%	75	-0.3
✕Dalfis Ortiz 2013 · A	21	44	35→40	43→55	52	203/285/265	61	276	2	10	25%	10%	60	-1.6	200/265/273	73	242	2	14	17%	8%	53	-2.1	210/273/300	89	245	1	18	14%	8%	63	-0.5
✕Jeral Toledo 2023 · A	20	38	35→30	45	53	177/279/243	66	242	2	10	25%	10%	55	-2.0	197/272/275	78	278	4	11	28%	9%	57	-1.8	191/264/264	73	269	4	10	28%	8%	50	-0.7
✕Terry Serrano 2007 · A	20	37	34→30	48→55	50	173/257/224	51	239	2	16	26%	10%	41	-3.0	185/260/242	57	252	2	15	25%	9%	45	-2.7	181/264/235	54	253	2	17	26%	10%	44	-1.1
✕Oliver Nunez 2015 · A	20	42	35→30	49→50	59	193/296/255	62	247	2	13	21%	12%	63	-1.3	212/286/276	64	257	2	13	17%	9%	62	-1.4	224/290/285	60	268	2	16	16%	8%	63	-0.5
✕Deivi Estrada 2021 · A	20	43	35→30	45→50	53	199/285/257	57	253	2	9	20%	10%	59	-1.7	186/247/253	67	319	3	8	39%	7%	42	-2.9	144/185/202	58	313	3	4	52%	4%	4	-1.2
✕Aaron Shipman 2013 · A	21	41→39	35→30	44→50	49	190/271/250	60	279	2	9	30%	10%	52	-2.2	227/310/295	68	314	2	16	25%	10%	76	-0.4	246/336/306	60	332	1	21	23%	11%	84	+0.1
✕Jose Infante 2015 · A	21	39	36→30	49→50	49	182/288/250	68	250	3	13	26%	9%	60	-1.6	184/267/255	71	275	3	10	31%	8%	52	-2.2	121/211/180	59	200	0	10	35%	8%	13	-1.1
✕Milkar Perez 2023 · A	21	41	34→40	44→40	52	185/288/234	50	289	2	4	33%	12%	55	-1.9	211/291/289	78	317	4	3	31%	9%	68	-1.0	211/289/291	80	310	4	2	30%	9%	66	-0.7
✕Alfredo Angarita 2018 · A	21	40	35→30	51→55	51	186/269/244	58	251	2	16	25%	10%	49	-2.4	199/263/254	55	285	2	10	28%	7%	49	-2.4	192/256/235	43	276	1	9	28%	7%	39	-1.4
✕Rey Bruguera 2013 · A	21	39	36→30	48→50	51	182/268/246	64	243	3	14	24%	10%	50	-2.3	191/252/257	66	278	4	6	30%	7%	45	-2.7	173/232/222	49	261	4	1	33%	7%	27	-1.2
✕Miguel Arrendell 2009 · A	21	41	34→30	48→50	61	187/295/233	46	225	1	13	16%	12%	59	-1.7	202/284/276	74	266	5	10	24%	10%	62	-1.4	201/272/282	81	263	7	9	25%	8%	56	-0.7
✕Emmanuel Morel 2017 · A	20	37	34→30	50→55	47	174/257/225	52	263	1	15	32%	10%	41	-3.0	194/259/259	65	313	2	13	36%	7%	49	-2.4	182/247/231	49	295	0	21	35%	6%	35	-0.9
✕Shawn Zarraga 2010 · A	21	45	36→40	48→45	47	208/286/272	64	290	4	5	28%	8%	62	-1.4	237/303/327	90	307	7	8	23%	7%	81	-0.1	277/345/359	82	319	4	2	13%	7%	103	+0.5
✕Jeremy Arocho 2021 · A	22	48→44	36→30	48→60	47	224/284/295	71	288	3	10	22%	7%	65	-1.2	228/321/282	54	318	2	26	25%	12%	78	-0.3	221/328/267	46	302	1	34	24%	13%	75	-0.3

Luis Lameda

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps