Leandro Romero

SS ACL Mariners

Age 20 R/R 6'1" / 170 lbs ROK K +7%HR -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1247ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKSEA	181	.223/.361/.304	0	4	33	—	.142/.261/.187
2025	18	ROKSEA	180	.304/.375/.557	9	6	50	—	.184/.244/.325
2026	19	ROKSEA	196	.254/.335/.428	6	4	23	—	.156/.216/.267
2027PROJMLE	20	MLBSEA	306	.203/.262/.310	5	5	61	-0.1
2028PROJ34% MLB	21	MLBSEA	52	.206/.268/.324	1	1	68	-0.0
2029PROJ48% MLB	22	MLBSEA	120	.211/.273/.337	3	2	73	0.0

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

ISO75

wRC+40

Speed37

wOBA27

Chase%15

Z-Con%15

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsJosé Rodríguez (age 20) · Alonzo Harris (age 20) · Chris Owings (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 103 proj PA

wRC+†61

AVG/OBP/SLG.201 / .260 / .308

PA103

HR2

K%31

BB%6

ISO108

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2036	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-2	$1M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$1M

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 Mariners	—	181	148	33	8	2	0	30	46	2	4	4	223	361	304	665	81	320	25	17	313	33	—	—	—	—	—	—
2025	18	ROK	DSL Mariners	—	180	158	48	11	1	9	16	35	2	6	3	304	375	557	932	253	331	19	9	397	50	—	—	—	—	—	—
2026	19	ROK	ACL Mariners	—	196	173	44	10	1	6	19	68	2	4	2	254	335	428	763	173	376	35	10	337	23	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Mariners	—	181	155	22	5	1	0	23	56	2	4	4	142	261	187	448	45	220	31	13	217	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mariners	—	180	163	30	6	1	5	11	43	2	6	3	184	244	325	569	141	200	24	6	242	50	—	—	—	—	—	—
2026	19	ROK MLE	ACL Mariners	—	196	180	28	6	1	4	12	98	2	4	2	156	216	267	483	111	276	50	6	202	23	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mariners	—	181	155	22	5	1	0	23	56	2	4	4	142	261	187	448	45	220	31	13	217	33	—	—	—	—	—	—
2024	17	ROK RAW	DSL Mariners	—	181	148	33	8	2	0	30	46	2	4	4	223	361	304	665	81	320	25	17	313	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mariners	—	180	163	30	6	1	5	11	43	2	6	3	184	244	325	569	141	210	24	6	242	50	—	—	—	—	—	—
2025	18	ROK RAW	DSL Mariners	—	180	158	48	11	1	9	16	35	2	6	3	304	375	557	932	253	331	19	9	397	50	—	—	—	—	—	—
2026	19	ROK MLE	ACL Mariners	—	196	180	28	6	1	4	12	98	2	4	2	156	216	267	483	111	300	50	6	202	23	—	—	—	—	—	—
2026	19	ROK RAW	ACL Mariners	—	196	173	44	10	1	6	19	68	2	4	2	254	335	428	763	173	376	35	10	337	23	—	—	—	—	—	—
2024	17	ROK MLE	DSL Mariners	—	181	154	22	5	1	0	23	56	2	4	4	143	261	188	449	45	220	31	13	217	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mariners	—	180	165	30	6	1	5	11	43	2	6	3	182	244	321	566	139	200	24	6	242	50	—	—	—	—	—	—
2026	19	ROK MLE	ACL Mariners	—	196	180	28	6	1	4	12	98	2	4	2	156	216	267	483	111	276	50	6	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Mariners	—	181	154	22	5	1	0	23	56	2	4	4	143	261	188	449	45	220	31	13	217	33	—	—	—	—	—	—
2025	18	ROK MLE	DSL Mariners	—	180	165	30	6	1	5	11	43	2	6	3	182	244	321	566	139	200	24	6	242	50	—	—	—	—	—	—
2026	19	ROK MLE	ACL Mariners	—	196	180	28	6	1	4	12	98	2	4	2	156	216	267	483	111	276	50	6	202	23	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SEA	0%	306	280	57	11	2	5	20	95	3	5	2	203	262	310	573	108	282	31	7	258	61	-14	+0	+0	+3	+7	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SEA	34%	151	139	28	5	1	3	10	46	1	3	1	209	269	328	598	120	284	30	7	268	68	-6	+0	+0	+2	+3	-0.1
2029	22	MLB MLE	SEA	48%	247	226	49	9	2	6	17	73	2	5	2	213	275	342	617	129	285	30	7	276	73	-8	+0	+0	+3	+5	0.1
2030	23	MLB MLE	SEA	54%	342	312	68	12	2	9	24	100	3	7	2	217	280	353	632	136	286	29	7	283	77	-9	+1	+1	+4	+7	0.3
2031	24	MLB MLE	SEA	55%	406	370	81	15	2	11	29	117	4	8	3	220	283	361	644	141	288	29	7	287	81	-9	+0	+1	+4	+9	0.5
2032	25	MLB MLE	SEA	56%	441	403	89	16	3	12	31	125	4	9	3	222	286	366	652	144	288	28	7	291	83	-9	+1	+1	+5	+10	0.7
2033	26	MLB MLE	SEA	56%	460	420	94	17	3	13	33	131	4	9	3	222	286	368	654	146	288	28	7	291	83	-9	+1	+1	+5	+10	0.8
2034	27	MLB MLE	SEA	55%	467	427	94	17	3	13	33	133	4	9	3	221	285	365	650	144	287	28	7	290	82	-10	+1	+1	+5	+10	0.7
2035	28	MLB MLE	SEA	55%	466	426	94	17	3	13	33	134	4	9	3	220	283	361	644	141	287	29	7	287	81	-11	+1	+0	+5	+10	0.6
2036	29	MLB MLE	SEA	53%	456	417	91	16	3	12	32	133	4	8	3	217	281	355	636	138	285	29	7	284	78	-12	+0	-0	+5	+10	0.3
2037	30	MLB MLE	SEA	53%	446	408	87	16	2	11	31	131	4	7	4	215	277	348	625	133	284	29	7	280	75	-13	-0	-1	+5	+10	0.0
2028	21	MLB CTX	SEA	34%	52	49	10	2	0	1	3	16	0	1	0	206	268	324	591	117	281	31	6	266	68	-2	+0	+0	+1	+1	-0.0
2029	22	MLB CTX	SEA	48%	120	110	23	4	1	3	8	36	1	2	1	211	273	337	610	126	283	30	7	274	73	-4	+0	+0	+1	+3	0.0
2030	23	MLB CTX	SEA	54%	185	168	37	7	1	5	13	54	2	4	1	215	277	348	625	133	284	29	7	280	77	-5	+0	+0	+2	+4	0.2
2031	24	MLB CTX	SEA	55%	225	205	44	8	1	6	16	65	2	5	2	218	281	355	637	138	285	29	7	284	81	-5	+0	+1	+2	+5	0.3
2032	25	MLB CTX	SEA	56%	247	225	49	9	1	7	18	70	2	5	2	220	284	361	644	141	286	28	7	288	83	-5	+0	+1	+3	+5	0.4
2033	26	MLB CTX	SEA	56%	259	235	52	9	2	7	19	74	3	5	2	220	284	362	646	142	285	29	7	288	83	-5	+0	+1	+3	+6	0.4
2034	27	MLB CTX	SEA	55%	258	235	51	9	1	7	19	74	2	5	2	219	283	360	643	141	285	29	7	287	82	-5	+0	+1	+3	+6	0.4
2035	28	MLB CTX	SEA	55%	255	233	50	9	1	7	18	73	2	5	2	217	281	356	637	138	284	29	7	284	81	-6	+0	+0	+3	+6	0.3
2036	29	MLB CTX	SEA	53%	244	223	48	9	1	6	17	71	2	4	2	215	278	350	628	135	283	29	7	281	78	-6	+0	-0	+3	+5	0.1
2037	30	MLB CTX	SEA	53%	235	214	45	8	1	6	17	69	2	4	2	212	275	343	618	130	281	29	7	277	75	-7	+0	-1	+3	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2080	1897	409	74	10	55	148	602	18	40	16	216	279	352	631	137	283	29	7	283	73	-51	+2	+3	+22	+45	2.1
/ 162G	—	A+C		—	650	593	127	23	3	17	46	188	6	12	5	214	278	349	627	135	281	29	7	283	73	-16	+0	+1	+7	+14	0.7
Career	—	MLE		—	4542	4140	875	161	28	114	326	1352	41	90	37	211	276	346	622	135	282	30	7	277	73	-101	+4	+5	+43	+86	3.8
/ 162G	—	MLE		—	650	592	125	23	4	16	47	193	6	13	5	211	276	345	621	133	282	30	7	277	73	-16	+1	+1	+7	+14	0.6

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 ROKACL Mariners · 196 PAwOBA .332 → .202 (−129)K% 34.7% → 50.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.69%	÷1.000	×1.440	—	—	49.96%
BB% (unintentional) /PA	9.69%	÷1.000	×0.620	—	×0.995	5.98%
HBP% /PA	1.02%	—	×0.720	—	×0.995	0.73%
Singles /BIP	25.71%	÷1.000	×0.820	×0.950	×0.995	19.93%
Doubles /BIP	9.52%	÷1.000	×0.720	×0.950	×0.995	6.48%
Triples /BIP	0.95%	÷1.000	×0.720	×0.950	×0.995	0.65%
Home runs /BIP	5.71%	÷1.000	×0.780	—	×0.995	4.43%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .332 → .202; ISO .173 → .103; BABIP .376 → .276. 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 DSLDSL Mariners · 180 PAwOBA .395 → .242 (−153)K% 19.4% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.44%	÷1.003	×1.220	—	—	23.65%
BB% (unintentional) /PA	8.89%	÷0.996	×0.700	—	×0.995	6.22%
HBP% /PA	1.11%	—	×0.700	—	×0.995	0.77%
Singles /BIP	21.95%	÷0.986	×0.680	×0.950	×0.995	14.31%
Doubles /BIP	8.94%	÷0.989	×0.600	×0.950	×0.995	5.13%
Triples /BIP	0.81%	÷0.900	×0.600	×0.950	×0.995	0.51%
Home runs /BIP	7.32%	÷0.936	×0.470	—	×0.995	3.66%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 97, 2B 98, 3B 80, K 101, BB 99 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .395 → .242; ISO .253 → .135; BABIP .331 → .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).

2024 DSLDSL Mariners · 181 PAwOBA .308 → .217 (−91)K% 25.4% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.41%	÷1.004	×1.220	—	—	30.89%
BB% (unintentional) /PA	16.57%	÷0.938	×0.700	—	×1.008	12.47%
HBP% /PA	1.10%	—	×0.700	—	×1.008	0.78%
Singles /BIP	22.55%	÷0.976	×0.680	×1.003	×1.008	15.88%
Doubles /BIP	7.84%	÷0.940	×0.600	×1.003	×1.008	5.06%
Triples /BIP	1.96%	÷0.934	×0.600	×1.003	×1.008	1.27%
Home runs /BIP	0.00%	÷1.012	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 95, 2B 88, 3B 87, K 101, BB 88 — 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 ×1.003.

Result: wOBA .308 → .217; ISO .081 → .052; BABIP .320 → .220. 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
#1Gordon 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
#2Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,183	56	42	219	279	357	+23	+6	3.1	3.0
/162	664	17	13	+7.1	+1.8	0.9	pk7: 3
#5Luis Rivera'86-'98 * career totals — 8 seasons, 2,453 PA	3.7	2,453	28	20	232*	291*	357*	+24	+5	1.2	2.3
/162	664	8	5	+6.4	+1.4	0.3	pk7: 3
#6Frank 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

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
Leandro Romero (OGILVIE)	20	—	—	—	—	201/260/308	107	282	2	2	31%	6%	61	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕José Rodríguez 2021 · A	20	41→51	43→50	52→55	37	208/240/316	109	266	11	11	27%	4%	54	-2.0	248/280/380	132	299	14	24	21%	4%	84	+0.1	248/280/383	135	297	15	29	22%	4%	81	-0.0
●Alonzo Harris 2009 · A	20	44→52	46→50	49→60	40	222/276/345	124	295	14	11	29%	6%	75	-0.5	209/247/310	101	283	10	12	29%	4%	55	-1.9	234/290/378	144	282	15	35	22%	7%	85	+0.2
✕Chris Owings 2012 · A	20	43→53	42→50	47→55	33	214/239/323	109	289	10	7	30%	2%	55	-2.0	245/273/361	116	320	11	12	26%	3%	77	-0.3	259/288/376	117	329	11	14	24%	3%	83	+0.0
✕Christian Lopes 2013 · A	20	42→52	42→45	53→50	42	207/256/324	117	265	8	8	25%	5%	62	-1.4	209/263/288	79	265	4	4	22%	6%	56	-1.9	233/301/343	110	279	9	15	19%	8%	81	-0.0
✕Deibinson Romero 2007 · A	20	46→45	41→50	48→40	39	222/270/321	98	299	8	8	28%	5%	66	-1.1	218/276/324	106	291	10	6	27%	6%	70	-0.9	226/298/362	137	274	14	2	22%	8%	85	+0.1
✕Noel Cuevas 2012 · A	20	42→52	42→45	48→55	37	209/244/317	108	280	9	11	29%	4%	55	-1.9	222/266/327	105	284	8	19	24%	5%	66	-1.1	254/287/363	108	316	8	12	22%	3%	80	-0.1
✕Jeferson Quero 2023 · A	20	47	44→50	49→45	43	230/281/347	117	293	11	9	25%	6%	77	-0.3	232/290/369	137	282	16	7	23%	7%	86	+0.3	222/285/355	133	266	16	4	23%	7%	79	-0.1
✕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
✕Franklin Barreto 2016 · A	20	49→50	44→55	49→50	38	241/278/365	124	307	10	9	25%	4%	80	-0.2	237/282/369	132	323	14	16	30%	5%	82	+0.0	221/279/390	169	326	20	13	37%	6%	84	+0.2
✕Ryan McKenna 2018 · A	21	46→56	41→45	53→55	39	217/274/322	104	315	8	12	32%	6%	69	-0.9	233/298/339	106	319	8	12	27%	7%	82	-0.0	230/306/344	115	316	10	13	28%	9%	83	+0.1
✕Yu Chang 2016 · A	20	41→47	42→50	45	38	205/254/311	106	279	10	6	30%	5%	59	-1.7	206/263/350	144	289	15	8	33%	6%	72	-0.7	217/278/367	150	284	17	4	29%	7%	81	-0.0
✕Kevin Alcántara 2022 · A	20	47→53	43→50	55→50	38	223/275/340	117	335	10	9	35%	6%	73	-0.6	232/289/360	128	341	13	11	33%	7%	83	+0.1	232/296/372	139	341	17	12	35%	8%	85	+0.2
✕Rodolfo Castro 2019 · A	20	39→42	44→55	47→50	37	198/240/315	117	272	11	5	31%	5%	54	-2.0	203/245/352	149	282	17	6	33%	5%	65	-1.2	211/274/367	156	276	20	7	30%	7%	79	-0.2
✕Yusniel Díaz 2017 · A	20	46→54	44→45	45→50	42	227/276/342	115	301	12	9	28%	6%	74	-0.6	238/295/357	119	312	12	8	26%	7%	84	+0.2	238/300/364	126	308	12	7	25%	8%	85	+0.2
✕Jonathan Galvez 2011 · A	20	44→51	43→50	49→55	45	209/288/320	111	309	10	13	33%	9%	74	-0.5	237/291/359	122	338	11	19	31%	6%	83	+0.1	244/294/364	120	343	10	23	30%	5%	83	+0.1
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Victor Bericoto 2022 · A	20	48→49	42→50	50→40	45	226/296/329	104	329	9	9	32%	9%	79	-0.2	226/279/350	124	312	15	3	31%	7%	77	-0.3	230/278/364	134	300	16	3	28%	6%	78	-0.2
✕Christopher Bostick 2013 · A	20	50→58	40→45	53→55	39	235/285/335	100	337	7	10	31%	6%	76	-0.4	219/271/339	120	302	10	15	30%	6%	72	-0.7	245/298/359	114	318	9	7	25%	6%	83	+0.0
✕Jonathan Ornelas 2021 · A	21	44→54	39→45	50	42	209/270/300	91	293	6	11	29%	7%	62	-1.4	235/286/340	105	319	10	10	28%	6%	77	-0.3	251/312/338	87	342	8	12	27%	7%	83	+0.1
✕Luis Torres 2024 · A	20	46	42→50	46→50	41	220/280/330	110	317	9	5	32%	7%	73	-0.6	205/274/289	84	343	5	5	38%	7%	61	-1.5	142/234/179	37	279	0	0	44%	7%	22	-0.7

Leandro Romero

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps