Liover Peguero

SS Rochester Red Wings

Age 26 R/R 6'0" / 200 lbs AAA Svc 4.000 · Ctrl thru 2028

Overview

AAAArb-2FA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	23	AAA/INTL2 orgs	629	.258/.324/.400	13	15	69	—	.219/.272/.335
2025	24	AAA/INTL2 orgs	339	.241/.321/.359	6	11	63	—	.224/.271/.329
2025	24	MLBPIT	88	.200/.273/.362	4	4	85	0.5
2026	25	AAA/A+2 orgs	402	.242/.335/.356	4	10	61	—	.212/.283/.303
2027PROJ10% MLB	26	MLBWSH	24	.225/.288/.358	1	1	82	0.0
2028PROJ38% MLB	27	MLBWSH	109	.224/.287/.356	3	6	81	0.1
2029PROJ52% MLB	28	MLBWSH	156	.222/.285/.352	4	8	79	0.1

Last 3 seasons WAR 0.5 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.000First FA2029

2027Arb-2$2M2028Arb-3$3M

Skills · percentileStatcast 2023-2025

Speed90

Bat Spd67

Avg EV37

Barrel%34

xwOBA10

CompsMax Schuemann (age 26) · Jake Slaughter (age 26) · Garrett Hampson (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8582vR 71

AVG/OBP/SLG.225 / .288 / .358

PA24

HR1

K%29

BB%8

BABIP299

ISO182

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$4M ctrl surplus

Tools · Splits · ContractCON 50 / POW 45

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT50

xAVG

100.213

POWER45

Barrel%

346.1

Avg EV

3788.1

Bat Spd

6773.1

EYE45

scouting grade only

SPEED50

Sprint

9029.2

Platoon Splits2025 · 88 PA

vs LHP

vs RHP

Edge

—

wRC+

117

◀◀L

wOBA

341

251

◀◀L

ISO

214

135

◀◀L

BABIP

267

222

◀◀L

33.3%

25.4%

▶▶R

BB%

12.1%

3.6%

◀◀L

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

Status Arb-2

MLB Debut 2023

Service 4.000 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2028	Arb-3	$3M	+0.1	$0.4M	+$0.0M (cut)
Totals		$0.0M		$0.6M	+$0.0M

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)
2018	17	ROK	ACL D-backs	—	161	147	38	3	3	1	11	29	1	7	3	259	314	340	655	82	311	18	7	293	36	—	—	—	—	—	—
2021	20	A+	Greensboro Grasshoppers	—	417	374	101	19	2	14	33	105	3	28	6	270	334	444	778	174	337	25	8	340	71	—	—	—	—	—	—
2022	21	AA	Altoona Curve	—	521	483	125	22	5	10	29	111	4	28	6	259	306	387	693	128	316	21	6	307	66	—	—	—	—	—	—
2022	21	INTL	Gigantes del Cibao	—	43	41	12	2	0	1	2	6	0	2	0	293	326	415	740	122	324	14	5	330	109	—	—	—	—	—	—
2023	22	MLB	Pittsburgh Pirates	—	213	198	47	4	1	7	11	67	1	6	2	237	281	374	655	136	320	31	5	288	85	-4	+0	+0	+6	+5	0.7
2023	22	AAA	Indianapolis Indians	—	30	27	7	0	1	2	3	3	0	2	0	259	333	556	889	296	227	10	10	383	89	—	—	—	—	—	—
2023	22	AA	Altoona Curve	—	318	285	74	20	1	11	32	58	0	19	3	260	334	453	787	193	290	18	10	348	73	—	—	—	—	—	—
2024	23	AAA	Indianapolis Indians	—	555	495	127	29	4	13	46	139	3	14	3	257	324	410	734	154	325	25	8	321	67	—	—	—	—	—	—
2024	23	INTL	Tigres del Licey	—	74	67	18	4	0	0	6	22	0	1	1	269	329	328	657	60	400	30	8	297	87	—	—	—	—	—	—
2025	24	MLB	Pittsburgh Pirates	—	88	80	16	1	0	4	6	25	2	4	0	200	273	362	635	162	235	28	7	287	85	-2	+1	-0	+5	+2	0.5
2025	24	AAA	Indianapolis Indians	—	303	267	66	14	1	6	27	59	1	8	3	247	319	375	693	127	290	19	9	305	62	—	—	—	—	—	—
2025	24	INTL	Tigres del Licey	—	36	28	5	1	0	0	5	10	2	3	1	179	343	214	557	36	263	28	14	274	72	—	—	—	—	—	—
2026	25	AAA	Rochester Red Wings	—	377	327	83	26	1	4	45	100	3	10	1	254	349	376	725	122	353	27	12	329	70	—	—	—	—	—	—
2026	25	A+	Jersey Shore BlueClaws	—	25	24	2	0	0	0	1	7	0	0	0	83	120	83	203		118	28	4	100	-67	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	301	278	63	5	1	11	17	92	3	10	2	227	279	371	649	144	295	31	6	288	81	-7	+1	-0	+11	+7	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	ACL D-backs	—	161	151	30	2	2	1	7	42	1	7	3	199	239	258	497	60	262	26	4	221	36	—	—	—	—	—	—
2021	20	A+ MLE	Greensboro Grasshoppers	—	417	385	89	17	2	9	22	139	3	28	6	231	278	356	634	125	322	33	5	273	71	—	—	—	—	—	—
2022	21	AA MLE	Altoona Curve	—	521	492	116	20	4	7	20	139	4	28	6	236	271	335	607	100	310	27	4	266	66	—	—	—	—	—	—
2023	22	MLB MLE	Pittsburgh Pirates	—	213	198	48	4	1	8	11	67	1	6	2	242	286	394	680	152	320	31	5	294	85	-4	+0	+0	+6	+5	0.7
2023	22	AAA MLE	Indianapolis Indians	—	30	28	6	0	1	1	2	4	0	2	0	214	267	393	660	179	211	13	7	300	89	—	—	—	—	—	—
2023	22	AA MLE	Altoona Curve	—	318	295	65	15	1	8	22	71	0	19	3	220	274	359	634	139	261	22	7	276	73	—	—	—	—	—	—
2024	23	AAA MLE	Indianapolis Indians	—	555	507	111	23	3	10	34	176	3	14	3	219	272	335	607	116	298	32	6	267	67	—	—	—	—	—	—
2025	24	MLB MLE	Pittsburgh Pirates	—	88	80	16	1	0	4	6	25	2	4	0	200	273	362	635	162	235	28	7	294	85	-2	+1	-0	+5	+2	0.5
2025	24	AAA MLE	Indianapolis Indians	—	303	277	62	12	1	5	17	73	1	8	3	224	271	329	600	105	270	24	6	260	62	—	—	—	—	—	—
2026	25	AAA MLE	Rochester Red Wings	—	377	340	75	22	1	3	32	120	3	10	1	221	293	318	611	97	327	32	8	271	70	—	—	—	—	—	—
2026	25	A+ MLE	Jersey Shore BlueClaws	—	25	24	2	0	0	0	1	9	0	0	0	83	120	83	203		99	36	4	69	-67	—	—	—	—	—	—
2018	17	ROK MLE	ACL D-backs	—	161	151	30	2	2	1	7	42	1	7	3	199	239	258	497	60	264	26	4	221	36	—	—	—	—	—	—
2018	17	ROK RAW	ACL D-backs	—	161	147	38	3	3	1	11	29	1	7	3	259	314	340	655	82	311	18	7	293	36	—	—	—	—	—	—
2021	20	A+ MLE	Greensboro Grasshoppers	—	417	385	89	17	2	9	22	139	3	28	6	231	278	356	634	125	333	33	5	273	71	—	—	—	—	—	—
2021	20	A+ RAW	Greensboro Grasshoppers	—	417	374	101	19	2	14	33	105	3	28	6	270	334	444	778	174	337	25	8	340	71	—	—	—	—	—	—
2022	21	AA MLE	2 teams	—	564	533	126	22	4	8	22	151	4	30	6	236	272	338	610	101	314	27	4	266	66	—	—	—	—	—	—
2022	21	AA RAW	2 teams	—	564	524	137	24	5	11	31	117	4	30	6	261	308	389	697	128	317	21	5	309	66	—	—	—	—	—	—
2023	22	AA MLE	3 teams	—	561	521	119	19	3	17	35	141	1	27	5	228	278	374	653	146	279	25	6	284	78	—	—	—	—	—	—
2023	22	AA RAW	3 teams	—	561	510	128	24	3	20	46	128	1	27	5	251	314	427	742	176	297	23	8	327	78	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	629	576	126	26	4	11	38	199	3	15	4	219	271	335	606	116	307	32	6	267	67	—	—	—	—	—	—
2024	23	AAA RAW	2 teams	—	629	562	145	33	4	13	52	161	3	15	4	258	324	400	725	142	333	26	8	319	67	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	427	388	85	14	1	10	25	107	5	15	4	219	275	338	613	119	271	25	6	268	67	—	—	—	—	—	—
2025	24	AAA RAW	3 teams	—	427	375	87	16	1	10	38	94	5	15	4	232	311	360	671	128	278	22	9	298	67	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	402	365	77	22	1	3	32	129	3	10	1	211	280	301	581	90	316	32	8	258	61	—	—	—	—	—	—
2026	25	AAA RAW	2 teams	—	402	351	85	26	1	4	46	107	3	10	1	242	335	356	691	114	336	27	11	315	61	—	—	—	—	—	—
2018	17	ROK MLE	ACL D-backs	—	161	152	30	2	2	1	7	42	1	7	3	197	239	257	496	59	262	26	4	221	36	—	—	—	—	—	—
2021	20	A+ MLE	Greensboro Grasshoppers	—	417	389	89	17	2	9	22	139	3	28	6	229	278	352	630	123	322	33	5	273	71	—	—	—	—	—	—
2022	21	AA MLE	2 teams	—	564	533	126	22	4	8	22	151	4	30	6	236	272	338	610	101	310	27	4	266	66	—	—	—	—	—	—
2023	22	AA MLE	3 teams	—	561	520	119	19	3	17	35	141	1	27	5	229	278	375	653	146	281	25	6	284	78	—	—	—	—	—	—
2024	23	AAA MLE	2 teams	—	629	583	126	26	4	11	38	199	3	15	4	216	271	331	602	115	298	32	6	267	67	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	427	394	85	14	1	10	25	107	5	15	4	216	275	332	608	117	262	25	6	268	67	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	402	364	77	22	1	3	32	129	3	10	1	212	280	302	582	91	313	32	8	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	AAA MLE	2 teams	—	629	583	126	26	4	11	38	199	3	15	4	216	271	331	602	115	298	32	6	267	67	—	—	—	—	—	—
2025	24	AAA MLE	3 teams	—	427	394	85	14	1	10	25	107	5	15	4	216	275	332	608	117	262	25	6	268	67	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	402	364	77	22	1	3	32	129	3	10	1	212	280	302	582	91	313	32	8	258	61	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	WSH	10%	380	346	77	16	1	9	28	110	3	21	4	225	288	359	647	134	299	29	7	289	82	-8	+3	-2	+4	+8	0.5
▸ 2027 — real world (MLB)
2027	26	MLB CTX	WSH	10%	24	22	5	1	0	1	2	7	0	1	0	225	288	358	647	133	299	29	8	289	82	-1	+0	-0	+0	+1	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	WSH	38%	290	265	59	12	1	7	21	84	2	15	3	224	287	357	644	132	298	29	7	288	81	-7	+2	-1	+3	+6	0.3
2029	28	MLB MLE	WSH	52%	300	273	60	12	1	7	22	88	2	14	3	222	285	352	637	130	297	29	7	285	79	-7	+2	-2	+3	+6	0.2
2030	29	MLB MLE	WSH	57%	294	269	59	12	1	7	21	87	2	12	2	220	283	346	629	126	296	30	7	282	77	-8	+2	-3	+3	+6	0.0
2031	30	MLB MLE	WSH	60%	289	264	58	12	1	6	21	87	2	10	2	217	279	339	618	122	295	30	7	278	74	-9	+1	-4	+3	+6	-0.2
2028	27	MLB CTX	WSH	38%	109	99	23	5	0	3	8	32	1	6	1	224	287	356	643	132	298	29	7	288	81	-2	+1	-1	+1	+2	0.1
2029	28	MLB CTX	WSH	52%	156	143	32	7	0	4	11	46	1	8	1	222	285	352	637	129	298	29	7	285	79	-4	+1	-1	+2	+3	0.1
2030	29	MLB CTX	WSH	57%	168	153	33	7	0	4	12	50	1	7	1	220	283	346	629	126	296	30	7	282	77	-5	+1	-2	+2	+4	0.0
2031	30	MLB CTX	WSH	60%	174	159	34	7	0	4	12	52	1	6	1	217	279	339	618	121	295	30	7	278	74	-5	+1	-2	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	908	832	185	31	1	26	60	272	7	37	6	222	280	356	636	133	295	30	7	284	71	-23	+5	-6	+17	+20	1.3
/ 162G	—	A+C		—	650	596	133	22	1	19	43	195	5	26	4	223	281	359	641	136	295	30	7	284	71	-17	+4	-4	+12	+14	0.9
Career	—	MLE		—	4572	4207	937	180	22	92	283	1323	30	196	41	223	277	342	618	119	299	29	6	273	71	-43	+9	-12	+26	+37	1.8
/ 162G	—	MLE		—	650	598	133	26	3	13	40	188	4	28	6	222	275	341	616	119	299	29	6	273	71	-16	+3	-4	+10	+14	0.7

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 AAARochester Red Wings · 377 PAwOBA .322 → .271 (−51)K% 26.5% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.53%	÷1.000	×1.200	—	—	31.83%
BB% (unintentional) /PA	11.94%	÷1.000	×0.690	—	×1.018	8.38%
HBP% /PA	0.80%	—	×0.940	—	×1.018	0.76%
Singles /BIP	22.91%	÷1.000	×0.930	×1.020	×1.018	22.13%
Doubles /BIP	11.45%	÷1.000	×0.830	×1.020	×1.018	9.87%
Triples /BIP	0.44%	÷1.000	×0.970	×1.020	×1.018	0.44%
Home runs /BIP	1.76%	÷1.000	×0.700	—	×1.018	1.26%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .322 → .271; ISO .122 → .099; BABIP .353 → .327. 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+Jersey Shore BlueClaws · 25 PAwOBA .098 → .069 (−29)K% 28.0% → 36.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷1.000	×1.310	—	—	36.68%
BB% (unintentional) /PA	4.00%	÷1.000	×0.600	—	×0.968	2.32%
HBP% /PA	0.00%	—	×0.770	—	×0.968	0.00%
Singles /BIP	11.76%	÷1.000	×0.870	—	×0.968	9.91%
Doubles /BIP	0.00%	÷1.000	×0.780	—	×0.968	0.00%
Triples /BIP	0.00%	÷1.000	×0.850	—	×0.968	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×0.968	0.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .098 → .069; ISO .000 → .000; BABIP .118 → .099. 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 AAAIndianapolis Indians · 303 PAwOBA .302 → .260 (−42)K% 19.5% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.47%	÷0.965	×1.200	—	—	24.22%
BB% (unintentional) /PA	8.91%	÷1.112	×0.690	—	×1.033	5.71%
HBP% /PA	0.33%	—	×0.940	—	×1.033	0.32%
Singles /BIP	21.63%	÷1.008	×0.930	×1.005	×1.033	20.73%
Doubles /BIP	6.73%	÷0.995	×0.830	×1.005	×1.033	5.83%
Triples /BIP	0.48%	÷1.150	×0.970	×1.005	×1.033	0.42%
Home runs /BIP	2.88%	÷0.915	×0.700	—	×1.033	2.28%

Factors used: league row International League. Park (home-season share, regressed): HR 83, 1B 102, 2B 99, 3B 130, K 93, BB 122 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .302 → .260; ISO .127 → .107; BABIP .290 → .270. 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 AAAIndianapolis Indians · 555 PAwOBA .317 → .267 (−51)K% 25.0% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.05%	÷0.948	×1.200	—	—	31.72%
BB% (unintentional) /PA	8.29%	÷0.977	×0.690	—	×1.048	6.14%
HBP% /PA	0.54%	—	×0.940	—	×1.048	0.53%
Singles /BIP	22.75%	÷1.009	×0.930	×0.997	×1.048	21.93%
Doubles /BIP	8.15%	÷1.050	×0.830	×0.997	×1.048	6.73%
Triples /BIP	1.12%	÷1.150	×0.970	×0.997	×1.048	0.99%
Home runs /BIP	3.65%	÷0.909	×0.700	—	×1.048	2.95%

Factors used: league row International League. Park (home-season share, regressed): HR 82, 1B 102, 2B 110, 3B 130, K 90, BB 95 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .317 → .267; ISO .154 → .121; BABIP .325 → .298. 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 AAAltoona Curve · 318 PAwOBA .339 → .276 (−63)K% 18.2% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.24%	÷1.003	×1.220	—	—	22.19%
BB% (unintentional) /PA	10.06%	÷1.058	×0.700	—	×1.027	6.84%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	18.50%	÷1.032	×0.970	×1.007	×1.027	17.98%
Doubles /BIP	8.81%	÷1.142	×0.860	×1.007	×1.027	6.87%
Triples /BIP	0.44%	÷0.900	×0.950	×1.007	×1.027	0.48%
Home runs /BIP	4.85%	÷1.106	×0.780	—	×1.027	3.51%

Factors used: league row EL. Park (home-season share, regressed): HR 121, 1B 106, 2B 128, 3B 80, K 101, BB 112 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .339 → .276; ISO .193 → .145; BABIP .290 → .261. 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 AAAIndianapolis Indians · 30 PAwOBA .372 → .300 (−72)K% 10.0% → 12.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.967	×1.200	—	—	12.42%
BB% (unintentional) /PA	10.00%	÷1.056	×0.690	—	×1.050	6.86%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	16.67%	÷1.004	×0.930	—	×1.050	16.22%
Doubles /BIP	0.00%	÷1.013	×0.830	—	×1.050	0.00%
Triples /BIP	4.17%	÷1.150	×0.970	—	×1.050	3.69%
Home runs /BIP	8.33%	÷1.095	×0.700	—	×1.050	5.59%

Factors used: league row International League. Park (home-season share, regressed): HR 119, 1B 101, 2B 103, 3B 130, K 93, BB 111 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).

Result: wOBA .372 → .300; ISO .296 → .217; BABIP .227 → .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).

2022 AAAltoona Curve · 521 PAwOBA .299 → .266 (−33)K% 21.3% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.31%	÷0.975	×1.220	—	—	26.67%
BB% (unintentional) /PA	5.37%	÷1.006	×0.700	—	×1.042	3.90%
HBP% /PA	0.77%	—	×0.850	—	×1.042	0.68%
Singles /BIP	23.66%	÷1.010	×0.970	×1.002	×1.042	23.71%
Doubles /BIP	5.91%	÷0.928	×0.860	×1.002	×1.042	5.72%
Triples /BIP	1.34%	÷1.150	×0.950	×1.002	×1.042	1.16%
Home runs /BIP	2.69%	÷1.084	×0.780	—	×1.042	2.02%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 130, K 95, BB 101 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .299 → .266; ISO .128 → .104; BABIP .316 → .310. 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).

2021 A+Greensboro Grasshoppers · 417 PAwOBA .333 → .273 (−61)K% 25.2% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.18%	÷1.021	×1.350	—	—	33.28%
BB% (unintentional) /PA	7.91%	÷1.085	×0.710	—	×1.027	5.32%
HBP% /PA	0.72%	—	×0.810	—	×1.027	0.60%
Singles /BIP	24.54%	÷0.981	×0.910	×1.025	×1.027	23.95%
Doubles /BIP	7.06%	÷0.918	×0.830	×1.025	×1.027	6.72%
Triples /BIP	0.74%	÷0.900	×0.820	×1.025	×1.027	0.71%
Home runs /BIP	5.20%	÷1.238	×0.830	—	×1.027	3.58%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 148, 1B 96, 2B 84, 3B 80, K 104, BB 117 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .333 → .273; ISO .174 → .128; BABIP .337 → .322. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Kiko Garcia'76-'85 * career totals — 8 seasons, 1,595 PA	2.4	1,595	12	34	232*	283*	343*	+14	+14	2.2	3.0
/162	664	5	14	+5.7	+6.0	0.9	pk7: 4
#3Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.4	931	25	38	223	279	357	+10	-0	1.7	1.7
/162	664	18	27	+7.1	-0.2	1.2	pk7: 2
#4Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Liover Peguero (OGILVIE)	26	50	45	50	45	223/286/356	133	299	6	13	29%	7%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Max Schuemann 2023 · AAA	26	47→51	43→45	59→60	47	225/314/340	114	306	10	29	28%	8%	88	+0.5	226/317/332	106	299	10	21	26%	10%	88	+0.4	221/316/318	97	288	9	20	24%	10%	84	+0.1
✕Jake Slaughter 2023 · AA	26	45→48	47→50	54→55	40	223/291/354	131	309	15	24	32%	6%	84	+0.1	222/289/361	139	307	16	20	31%	7%	84	+0.1	214/282/350	136	296	16	20	32%	7%	76	-0.3
✕Garrett Hampson 2021 · MLB	26	48→57	44→45	58→60	44	235/289/357	122	306	12	24	27%	7%	82	-0.0	229/289/345	116	300	10	21	26%	7%	79	-0.2	237/300/344	108	310	8	22	25%	8%	84	+0.1
✕Drew Stubbs 2011 · MLB	26	50→57	47→50	59→60	47	244/312/386	141	323	15	32	28%	8%	98	+1.2	233/302/360	127	321	14	30	30%	9%	88	+0.5	233/301/372	139	331	14	24	32%	8%	90	+0.4
✕Luke Williams 2024 · MLB	27	47→44	43→45	59→65	45	228/290/338	110	304	10	34	27%	8%	78	-0.3	201/260/313	112	280	11	35	30%	7%	61	-1.5	174/232/274	100	245	9	44	32%	6%	41	-1.3
✕José Caballero 2022 · AA	25	44→45	44→45	55→70	47	217/293/337	119	284	11	29	27%	8%	80	-0.2	222/326/336	114	285	11	41	24%	11%	93	+0.8	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Samad Taylor 2023 · AAA	25	48→58	49→50	58→65	43	237/301/382	145	322	17	33	31%	7%	93	+0.8	243/315/357	114	332	10	40	27%	9%	92	+0.7	253/319/358	105	339	9	36	26%	8%	90	+0.6
✕Vidal Bruján 2024 · MLB	26	46→56	44→45	54→65	48	225/288/342	118	271	11	33	21%	7%	79	-0.2	232/300/340	108	288	8	20	21%	8%	82	+0.0	236/311/342	107	289	6	21	19%	8%	87	+0.2
✕Oswald Peraza 2024 · MLB	24	45→54	48→50	55→60	43	230/292/365	135	286	16	26	25%	6%	86	+0.3	213/280/329	116	277	14	23	27%	7%	73	-0.6	205/271/309	103	274	13	24	29%	6%	65	-0.7
✕Tyler Greene 2010 · MLB	26	45→50	47→50	58→55	39	227/280/361	134	302	15	24	30%	5%	80	-0.2	235/298/376	141	316	15	23	29%	7%	91	+0.6	233/298/380	148	312	15	24	29%	7%	90	+0.4
✕Pedro León 2024 · AAA	26	44→49	49→50	52→55	44	214/300/365	151	312	16	24	35%	9%	89	+0.5	231/293/383	152	327	18	25	33%	7%	91	+0.6	233/290/381	148	333	19	29	34%	6%	86	+0.2
✕Nate Eaton 2023 · MLB	26	46→49	44→45	60	44	225/292/346	121	294	12	29	27%	7%	81	-0.1	214/264/339	125	280	13	27	28%	5%	69	-0.9	210/267/331	121	274	12	27	27%	6%	67	-0.8
✕Delino DeShields 2018 · MLB	25	51→56	41→45	57→65	50	242/318/339	97	320	8	32	25%	10%	89	+0.5	230/309/319	89	301	7	30	24%	10%	81	-0.1	225/308/314	88	303	6	31	25%	10%	77	-0.2
✕Brent Lillibridge 2012 · MLB	28	46→54	50	55→60	44	234/299/384	150	299	18	29	28%	7%	93	+0.8	214/268/341	127	290	15	25	31%	5%	72	-0.7	194/242/299	105	269	12	26	32%	5%	50	-1.2
✕Tim Lopes 2020 · MLB	26	52→61	41→45	52→55	46	251/303/357	106	310	8	24	21%	7%	87	+0.4	225/280/348	123	291	11	19	25%	6%	77	-0.3	216/281/327	112	290	11	26	28%	8%	70	-0.6
✕Ryan Bliss 2024 · AAA	24	45→51	46→50	59→60	44	224/286/356	132	289	12	32	26%	7%	81	-0.1	231/299/360	129	304	11	38	26%	8%	87	+0.4	223/291/342	119	294	9	40	25%	7%	79	-0.2
✕Rolando Acosta 2009 · AAA	26	50→60	47→50	53→45	46	249/307/385	137	296	15	23	21%	7%	96	+1.0	263/309/382	119	306	9	15	17%	5%	95	+1.0	269/312/404	135	308	11	10	16%	4%	98	+0.6
✕Bradley Zimmer 2019 · MLB	26	48→51	47→50	57→60	41	230/295/369	138	342	14	26	35%	8%	88	+0.4	232/316/365	133	339	14	21	33%	8%	95	+1.0	187/282/287	100	311	11	27	39%	8%	65	-0.6
✕Jorge Mateo 2022 · MLB	27	47→50	46→50	54→65	38	230/274/364	134	311	12	21	30%	5%	78	-0.3	220/268/362	142	280	14	36	26%	6%	76	-0.4	212/260/356	144	266	14	44	25%	5%	72	-0.4
✕Nick Gordon 2022 · MLB	26	49→57	45→50	57→55	42	242/291/365	123	304	12	25	24%	6%	84	+0.2	241/285/379	138	298	13	12	23%	4%	86	+0.3	238/278/377	140	293	13	8	23%	4%	84	+0.1

Liover Peguero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps