Luis Peña

SS Wisconsin Timber Rattlers

Age 20 R/R 5'11" / 185 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP45OGV rank#128ETA2028MLB%4%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Brewers 1	184	.393/.459/.583	1	39	73	—	.234/.301/.323
2025	18	A+/A2 orgs	418	.270/.339/.422	9	44	80	—	.244/.300/.357
2026	19	AA/A+MIL	280	.291/.375/.402	3	33	90	—	.267/.336/.371
2027PROJMLE	20	MLBMIL	9	.232/.294/.330	0	0	78	0.0
2028PROJ45% MLB	21	MLBMIL	129	.238/.301/.353	2	6	87	0.2
2029PROJ62% MLB	22	MLBMIL	235	.244/.308/.378	6	9	95	0.7

Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$5M2032Arb-2$9M2033Arb-3$13M

Skills · percentileMiLB Statcast 2026 AA

K%84

Z-Con%82

Speed50

Whiff%43

wOBA32

wRC+32

Career WAR0.0 WAR median (P10 -0.6 / P90 34, comp-based) · star 10% · didn't stick 69%

CompsMasyn Winn (age 21) · Elvis Andrus (age 20) · Adrian Pinto (age 20)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†78

AVG/OBP/SLG.232 / .294 / .330

PA9

HR0

K%22

BB%11

BABIP286

ISO92

MLB%4%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$23M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.7	$2M	+$2M
2030	Pre-Arb	$0.8M	+1.1	$7M	+$6M
2031	Arb-1	$5M	+1.4	$8M	+$5M
2032	Arb-2	$9M	+1.5	$8M	+$3M
2033	Arb-3	$13M	+1.6	$8M	+$1M
Totals		$29M		$35M	+$18M

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)
2024	17	ROK	DSL Brewers 1	—	184	163	64	16	6	1	15	15	5	39	4	393	459	583	1.042	190	426	8	8	454	73	—	—	—	—	—	—
2025	18	A+	Wisconsin Timber Rattlers	—	109	101	17	4	0	3	6	27	1	3	0	168	222	297	519	129	194	25	6	233	3	—	—	—	—	—	—
2025	18	A	Carolina Mudcats	—	309	273	84	14	6	6	28	41	4	41	7	308	380	469	849	161	339	13	9	373	107	—	—	—	—	—	—
2026	19	AA	Biloxi Shuckers	—	61	56	15	1	0	1	4	11	1	6	0	268	328	339	667	71	318	18	7	306	60	—	—	—	—	—	—
2026	19	A+	Wisconsin Timber Rattlers	—	219	188	56	9	4	2	24	45	4	27	6	298	389	420	809	122	375	21	11	361	98	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Brewers 1	—	184	167	39	9	3	0	11	19	5	39	4	234	301	323	624	90	256	10	6	276	73	—	—	—	—	—	—
2025	18	A+ MLE	Wisconsin Timber Rattlers	—	109	102	13	3	0	2	5	36	1	3	0	127	176	216	392	88	171	33	5	172	3	—	—	—	—	—	—
2025	18	A MLE	Carolina Mudcats	—	309	280	80	12	5	4	21	54	4	41	7	286	344	407	751	121	330	17	7	327	107	—	—	—	—	—	—
2026	19	AA MLE	Biloxi Shuckers	—	61	57	14	1	0	1	3	13	1	6	0	246	295	316	611	70	293	21	5	257	60	—	—	—	—	—	—
2026	19	A+ MLE	Wisconsin Timber Rattlers	—	219	194	53	8	4	2	18	57	4	27	6	273	347	387	734	113	356	26	8	313	98	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	184	167	39	9	3	0	11	19	5	39	4	234	301	323	624	90	262	10	6	276	73	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 1	—	184	163	64	16	6	1	15	15	5	39	4	393	459	583	1.042	190	426	8	8	454	73	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	418	383	94	15	5	6	25	90	5	44	7	245	300	358	658	112	301	22	6	287	80	—	—	—	—	—	—
2025	18	A RAW	2 teams	—	418	374	101	18	6	9	34	68	5	44	7	270	339	422	761	152	305	16	8	336	80	—	—	—	—	—	—
2026	19	A+ MLE	2 teams	—	280	251	66	9	4	2	21	71	5	33	6	263	332	355	687	92	354	25	8	301	90	—	—	—	—	—	—
2026	19	A+ RAW	2 teams	—	280	244	71	10	4	3	28	56	5	33	6	291	375	402	777	111	362	20	10	349	90	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 1	—	184	166	39	9	3	0	11	19	5	39	4	235	301	325	626	90	256	10	6	276	73	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	418	385	94	15	5	6	25	90	5	44	7	244	300	356	656	112	289	22	6	287	80	—	—	—	—	—	—
2026	19	A+ MLE	2 teams	—	280	252	66	9	4	2	21	71	5	33	6	262	332	353	685	91	342	25	8	301	90	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Brewers 1	—	184	166	39	9	3	0	11	19	5	39	4	235	301	325	626	90	256	10	6	276	73	—	—	—	—	—	—
2025	18	A MLE	2 teams	—	418	385	94	15	5	6	25	90	5	44	7	244	300	356	656	112	289	22	6	287	80	—	—	—	—	—	—
2026	19	A+ MLE	2 teams	—	280	252	66	9	4	2	21	71	5	33	6	262	332	353	685	91	342	25	8	301	90	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIL	4%	390	356	84	14	4	5	26	83	5	19	3	235	296	334	630	99	291	21	7	284	78	-10	+3	-2	+4	+8	0.3
▸ 2027 — real world (MLB)
2027	20	MLB CTX	MIL	4%	9	8	1	0	0	0	1	2	0	0	0	232	294	330	623	98	286	22	11	281	78	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIL	45%	286	260	63	10	3	5	20	60	4	13	2	240	303	356	660	116	292	21	7	296	87	-5	+2	-1	+3	+6	0.5
2029	22	MLB MLE	MIL	62%	382	347	86	14	3	9	27	78	5	15	3	246	311	380	690	133	293	20	7	308	95	-2	+2	-1	+4	+8	1.1
2030	23	MLB MLE	MIL	68%	440	399	101	16	4	12	32	89	6	16	3	251	316	397	713	146	294	20	7	317	101	+0	+2	-1	+5	+10	1.6
2031	24	MLB MLE	MIL	70%	474	430	109	17	4	14	35	96	6	16	3	254	319	408	727	154	295	20	7	323	105	+3	+2	-1	+5	+10	2.0
2032	25	MLB MLE	MIL	70%	493	447	113	18	4	15	37	100	6	16	3	255	321	414	735	159	295	20	8	326	107	+4	+2	-1	+5	+11	2.2
2033	26	MLB MLE	MIL	71%	501	452	115	19	4	15	38	101	6	15	3	255	322	417	739	162	295	20	8	327	108	+4	+2	-1	+5	+11	2.2
2034	27	MLB MLE	MIL	69%	501	452	114	18	4	15	38	102	6	15	3	254	321	414	735	160	294	20	8	326	107	+4	+2	-1	+5	+11	2.2
2035	28	MLB MLE	MIL	69%	495	448	113	18	4	15	38	102	6	13	2	253	319	410	729	157	294	21	8	323	105	+3	+2	-1	+5	+11	2.0
2036	29	MLB MLE	MIL	67%	483	438	109	17	4	14	36	101	6	11	2	250	316	404	720	154	293	21	7	320	103	+1	+1	-2	+5	+10	1.7
2037	30	MLB MLE	MIL	66%	470	427	106	17	4	13	35	100	5	10	2	248	313	397	710	149	291	21	7	316	100	-0	+1	-3	+5	+10	1.4
2038	31	MLB MLE	MIL	65%	454	413	100	16	3	12	33	98	5	8	2	244	308	387	696	144	289	22	7	310	96	-2	+1	-3	+5	+10	1.0
2039	32	MLB MLE	MIL	65%	432	393	93	14	3	11	31	95	5	6	2	239	302	375	678	137	285	22	7	302	91	-5	+0	-4	+5	+9	0.6
2040	33	MLB MLE	MIL	65%	394	359	83	12	3	9	28	89	4	5	3	233	295	361	656	128	281	23	7	293	85	-7	-0	-5	+4	+9	0.1
2041	34	MLB MLE	MIL	60%	338	309	69	10	2	7	23	79	3	4	5	225	286	343	629	118	276	23	7	282	77	-9	-1	-5	+4	+7	-0.5
2028	21	MLB CTX	MIL	45%	129	117	27	4	1	2	9	27	2	6	1	238	301	353	655	116	287	21	7	294	87	-2	+1	-0	+1	+3	0.2
2029	22	MLB CTX	MIL	62%	235	213	53	8	2	6	17	48	3	9	2	244	308	378	687	134	288	20	7	306	95	-1	+1	-1	+3	+5	0.7
2030	23	MLB CTX	MIL	68%	301	272	68	10	3	8	22	61	4	11	2	249	314	396	710	147	289	20	7	316	101	+0	+1	-1	+3	+7	1.1
2031	24	MLB CTX	MIL	70%	330	298	75	11	3	10	25	67	4	11	2	252	317	408	725	156	290	20	8	322	105	+2	+1	-0	+4	+7	1.4
2032	25	MLB CTX	MIL	70%	347	314	79	12	3	11	26	70	4	11	2	253	319	414	733	161	290	20	7	325	107	+3	+1	-1	+4	+8	1.5
2033	26	MLB CTX	MIL	71%	354	319	80	12	3	11	27	72	5	11	2	253	320	417	737	164	290	20	8	326	108	+3	+1	-1	+4	+8	1.6
2034	27	MLB CTX	MIL	69%	347	314	79	12	3	11	26	71	4	10	2	252	319	414	733	162	290	20	7	325	107	+3	+1	-1	+4	+8	1.5
2035	28	MLB CTX	MIL	69%	340	307	78	12	3	11	26	70	4	9	2	251	317	410	727	159	289	21	8	322	105	+2	+1	-1	+4	+7	1.3
2036	29	MLB CTX	MIL	67%	323	292	72	11	2	10	24	67	4	8	1	248	315	404	718	155	288	21	7	319	103	+1	+1	-1	+3	+7	1.1
2037	30	MLB CTX	MIL	66%	309	279	68	10	2	9	23	65	4	6	1	246	311	396	708	151	287	21	7	315	100	-0	+1	-2	+3	+7	0.9
2038	31	MLB CTX	MIL	65%	296	269	65	10	2	8	22	64	3	5	1	242	307	387	694	145	285	22	7	309	96	-1	+1	-2	+3	+6	0.7
2039	32	MLB CTX	MIL	65%	280	255	60	9	2	7	20	62	3	4	1	237	301	375	675	138	281	22	7	301	91	-3	+0	-3	+3	+6	0.4
2040	33	MLB CTX	MIL	65%	254	231	54	8	2	6	18	57	3	3	2	231	293	360	654	129	277	22	7	292	85	-5	-0	-3	+3	+6	0.0
2041	34	MLB CTX	MIL	60%	203	185	42	6	1	5	14	47	2	2	3	223	284	343	627	120	272	23	7	281	77	-5	-1	-3	+2	+4	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4048	3665	900	135	32	115	299	848	49	106	24	246	311	394	705	148	288	21	7	313	96	-5	+12	-19	+43	+88	12.1
/ 162G	—	A+C		—	650	589	144	22	5	18	48	136	8	17	4	244	311	390	701	146	287	21	7	313	96	-1	+2	-3	+7	+14	1.9
Career	—	MLE		—	7229	6560	1616	256	63	176	522	1514	91	289	57	246	311	385	696	139	293	21	7	310	96	-16	+19	-31	+68	+138	18.1
/ 162G	—	MLE		—	650	590	146	23	6	16	47	136	8	26	5	247	312	388	700	141	294	21	7	310	96	-2	+2	-3	+7	+14	1.8

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 A+Wisconsin Timber Rattlers · 219 PAwOBA .357 → .313 (−43)K% 20.5% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.55%	÷1.000	×1.270	—	—	26.10%
BB% (unintentional) /PA	10.96%	÷1.000	×0.710	—	×1.042	8.11%
HBP% /PA	1.83%	—	×0.790	—	×1.042	1.50%
Singles /BIP	28.67%	÷1.000	×0.920	×1.018	×1.042	27.99%
Doubles /BIP	6.29%	÷1.000	×0.810	×1.018	×1.042	5.41%
Triples /BIP	2.80%	÷1.000	×0.850	×1.018	×1.042	2.52%
Home runs /BIP	1.40%	÷1.000	×0.800	—	×1.042	1.17%

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 ×1.018.

Result: wOBA .357 → .313; ISO .122 → .104; BABIP .375 → .356. 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 AABiloxi Shuckers · 61 PAwOBA .298 → .257 (−41)K% 18.0% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.03%	÷1.000	×1.220	—	—	22.00%
BB% (unintentional) /PA	6.56%	÷1.000	×0.680	—	×1.050	4.68%
HBP% /PA	1.64%	—	×0.840	—	×1.050	1.45%
Singles /BIP	28.89%	÷1.000	×0.920	×0.958	×1.050	26.73%
Doubles /BIP	2.22%	÷1.000	×0.910	×0.958	×1.050	2.03%
Triples /BIP	0.00%	÷1.000	×0.880	×0.958	×1.050	0.00%
Home runs /BIP	2.22%	÷1.000	×0.800	—	×1.050	1.87%

Factors used: league row SL. 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 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .298 → .257; ISO .071 → .060; BABIP .318 → .293. 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 · 309 PAwOBA .368 → .327 (−40)K% 13.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.27%	÷1.033	×1.360	—	—	17.48%
BB% (unintentional) /PA	9.06%	÷0.981	×0.690	—	×1.045	6.66%
HBP% /PA	1.29%	—	×0.780	—	×1.045	1.06%
Singles /BIP	25.00%	÷0.948	×0.920	×1.010	×1.045	25.60%
Doubles /BIP	6.03%	÷1.002	×0.830	×1.010	×1.045	5.27%
Triples /BIP	2.59%	÷1.150	×0.910	×1.010	×1.045	2.16%
Home runs /BIP	2.59%	÷1.214	×0.800	—	×1.045	1.78%

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 ×1.010.

Result: wOBA .368 → .327; ISO .161 → .126; BABIP .339 → .330. 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 A+Wisconsin Timber Rattlers · 109 PAwOBA .228 → .172 (−57)K% 24.8% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.77%	÷0.943	×1.270	—	—	33.35%
BB% (unintentional) /PA	5.50%	÷0.965	×0.710	—	×1.050	4.25%
HBP% /PA	0.92%	—	×0.790	—	×1.050	0.76%
Singles /BIP	13.51%	÷1.023	×0.920	×0.976	×1.050	12.45%
Doubles /BIP	5.41%	÷1.013	×0.810	×0.976	×1.050	4.43%
Triples /BIP	0.00%	÷0.900	×0.850	×0.976	×1.050	0.00%
Home runs /BIP	4.05%	÷1.246	×0.800	—	×1.050	2.73%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 149, 1B 105, 2B 103, 3B 80, K 89, BB 93 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .228 → .172; ISO .129 → .084; BABIP .194 → .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 Brewers 1 · 184 PAwOBA .445 → .276 (−169)K% 8.2% → 10.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.15%	÷0.984	×1.220	—	—	10.11%
BB% (unintentional) /PA	8.15%	÷0.994	×0.700	—	×1.008	5.78%
HBP% /PA	2.72%	—	×0.700	—	×1.008	1.92%
Singles /BIP	27.70%	÷1.021	×0.680	×0.951	×1.008	17.69%
Doubles /BIP	10.81%	÷1.057	×0.600	×0.951	×1.008	5.88%
Triples /BIP	4.05%	÷1.088	×0.600	×0.951	×1.008	2.14%
Home runs /BIP	0.68%	÷1.098	×0.470	—	×1.008	0.29%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 104, 2B 111, 3B 118, K 97, BB 99 — 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 ×0.951.

Result: wOBA .445 → .276; ISO .190 → .102; BABIP .426 → .256. 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
#1Phil Garner'73-'88 * career totals — 13 seasons, 6,860 PA	10.3	6,860	109	225	256*	321*	420*	+25	+14	26.6	24.1
/162	664	11	22	+2.5	+1.3	2.6	pk7: 22
#2Jason Kipnislast yr '20 career totals — 10 seasons, 4,984 PA	7.5	4,984	126	136	260	333	416	+18	-11	22.6	21.9
/162	664	17	18	+2.4	-1.4	3.0	pk7: 21
#3Orlando Cabrera'97-'11 * career totals — 14 seasons, 8,255 PA	12.4	8,255	123	216	262*	308*	381*	+84	+5	19.8	19.1
/162	664	10	17	+6.8	+0.4	1.6	pk7: 18
#4Felipe Lopezlast yr '11 career totals — 11 seasons, 4,864 PA	7.3	4,864	90	124	264	333	391	+31	-19	17.7	18.1
/162	664	12	17	+4.2	-2.6	2.4	pk7: 19
#5Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#6Tony Bernazard'79-'91 * career totals — 9 seasons, 4,243 PA	6.4	4,243	75	113	258*	339*	404*	+15	+5	17.1	17.2
/162	664	12	18	+2.4	+0.7	2.7	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,058	111	107	249	310	396	+42	-11	16.2	13.9
/162	664	18	18	+6.9	-1.8	2.7	pk7: 12

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 Peña (OGILVIE)	20	—	—	—	—	233/294/331	98	291	2	10	21%	7%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Masyn Winn 2023 · AA	21	48→53	44→50	61→55	46	231/292/359	128	308	9	28	27%	8%	84	+0.1	243/298/376	133	291	13	16	20%	7%	90	+0.6	248/309/365	117	296	11	11	19%	7%	93	+0.8
●Elvis Andrus 2009 · AA	20	54→61	37→50	56→60	44	255/304/329	74	329	5	32	23%	6%	80	-0.1	259/322/333	74	307	4	32	16%	8%	88	+0.5	276/328/411	135	308	11	19	14%	7%	107	+1.7
✕Adrian Pinto 2023 · A	20	47	40→45	60→65	53	222/313/322	100	267	5	29	18%	9%	84	+0.1	234/309/354	120	293	11	18	23%	8%	90	+0.6	231/312/342	111	292	7	11	21%	9%	84	+0.0
✕Tyler Pastornicky 2011 · AA	21	49→59	39→45	58→60	49	233/290/320	87	278	6	29	18%	7%	74	-0.6	262/305/359	97	304	7	19	16%	6%	88	+0.4	278/316/373	95	318	7	16	14%	5%	93	+0.5
●Desmond Jennings 2008 · A	21	52→61	43→50	57→60	47	252/313/364	112	298	9	29	18%	6%	93	+0.8	260/323/383	123	308	9	32	17%	8%	101	+1.4	264/336/406	142	313	11	37	18%	8%	108	+1.9
✕Victor Robles 2017 · A	20	52→54	42→50	57→60	43	248/321/362	113	307	8	24	21%	5%	96	+1.0	250/317/385	135	312	10	24	22%	5%	99	+1.3	251/319/400	149	311	12	27	22%	5%	103	+1.2
●Carlos Gómez 2007 · AA	21	53→58	41→60	61→65	40	254/303/361	107	325	8	34	24%	4%	88	+0.4	245/293/347	102	311	7	34	22%	5%	81	-0.1	276/335/477	201	331	22	40	23%	6%	129	+3.2
✕Delino DeShields 2013 · A	20	47→56	42→45	61→65	45	227/292/330	103	308	9	36	28%	8%	77	-0.3	238/310/344	106	319	7	37	26%	8%	87	+0.4	239/317/344	105	318	6	38	24%	9%	86	+0.3
✕Ryan Brett 2014 · AA	22	52→58	42→45	59→60	45	252/297/361	110	301	8	27	19%	5%	86	+0.3	247/284/354	107	302	8	18	20%	4%	79	-0.2	237/269/336	99	295	8	15	22%	3%	66	-0.6
✕Gorkys Hernández 2008 · A	20	54→60	39→45	58→55	43	258/294/347	89	308	6	27	18%	4%	81	-0.1	254/299/337	83	336	4	18	24%	6%	80	-0.1	252/308/366	115	311	11	16	22%	7%	91	+0.5
●Jean Segura 2011 · AAA	21	56→62	43→50	60	44	270/306/388	118	314	9	23	17%	5%	95	+0.9	268/304/377	109	315	8	29	17%	4%	91	+0.7	302/347/439	137	334	13	24	13%	5%	123	+3.2
✕Ricky Cabrera 2024 · A	19	48→44	40→45	57→60	43	224/310/324	99	311	7	18	28%	7%	84	+0.1	216/282/315	99	309	8	12	31%	6%	71	-0.8	213/277/319	106	299	10	14	30%	5%	67	-0.8
✕Manuel Margot 2016 · AA	21	51→55	44→50	58→60	46	247/287/371	123	278	10	29	15%	5%	84	+0.1	252/294/372	120	296	9	22	17%	5%	86	+0.3	247/301/391	144	290	13	20	19%	7%	95	+0.8
✕Jett Williams 2024 · AA	20	44→48	45→50	60→55	54	209/324/338	129	296	11	25	30%	12%	93	+0.8	216/310/345	129	299	10	23	28%	11%	88	+0.4	214/300/348	134	288	11	26	27%	10%	82	+0.0
●Andrés Giménez 2019 · AA	20	52→59	40→50	53→55	44	246/309/346	100	315	6	21	22%	6%	87	+0.4	239/294/361	122	308	10	24	25%	5%	85	+0.2	260/322/413	154	311	16	25	21%	5%	109	+1.8
✕Darell Hernaiz 2023 · AA	21	47→57	42→45	55→50	42	232/279/335	104	289	10	21	23%	5%	73	-0.6	259/311/362	103	308	8	14	18%	6%	91	+0.7	268/325/364	96	311	7	12	15%	7%	94	+0.7
✕Luisangel Acuña 2023 · AA	21	48→58	44→45	58→60	44	232/293/349	117	320	12	31	30%	8%	82	-0.0	255/300/354	99	326	8	35	23%	6%	85	+0.2	262/305/352	89	327	6	40	21%	5%	84	+0.1
✕Jake Marisnick 2012 · A	21	50→56	45→60	57→55	41	245/300/373	128	315	12	21	25%	5%	91	+0.6	236/287/360	124	301	11	20	25%	5%	82	+0.0	229/291/435	206	302	27	18	33%	6%	103	+0.8
●Evan Carter 2023 · AA	20	48→55	46→50	55	52	233/315/374	141	290	12	21	23%	10%	96	+1.0	239/326/389	150	309	14	21	25%	10%	103	+1.6	237/330/391	154	306	15	24	25%	10%	104	+0.9
●CJ Abrams 2022 · AA	21	54→53	42→60	56→60	43	257/308/377	120	328	8	22	23%	6%	93	+0.8	249/298/385	136	296	13	29	20%	4%	93	+0.8	252/319/452	200	292	23	30	22%	7%	117	+2.7

Luis Peña

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps