Reyli Mariano

2B ACL Dodgers

Age 20 S/R 5'7" / 140 lbs ROK HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP35OGV rank#1420ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL LAD Mega	152	.243/.436/.333	1	15	53	—	.156/.309/.197
2025	18	ROKDSL LAD Mega	165	.336/.466/.580	4	15	80	—	.206/.313/.333
2026	19	ROKLAD	160	.229/.361/.374	3	17	45	—	.163/.253/.255
2027PROJMLE	20	MLBLAD	270	.212/.290/.313	3	7	72	-0.1
2028PROJ34% MLB	21	MLBLAD	46	.212/.291/.320	1	1	77	-0.0
2029PROJ48% MLB	22	MLBLAD	110	.216/.294/.332	2	3	81	-0.0

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

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$3M+1

Skills · percentileMiLB Statcast 2026 Rk

Speed99

Whiff%71

ISO63

Z-Con%59

BB%56

K%50

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsBrainer Bonaci (age 20) · Jorge Barrosa (age 20) · Allan Castro (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 82 proj PA

wRC+†72

AVG/OBP/SLG.210 / .287 / .311

PA82

HR1

K%27

BB%9

ISO101

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$2M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2034	Arb-2	$3M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$2M		$4M	+$0.6M

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 LAD Mega	—	152	111	27	5	1	1	36	32	2	15	4	243	436	333	770	90	329	21	24	361	53	—	—	—	—	—	—
2025	18	ROK	DSL LAD Mega	—	165	131	44	10	5	4	32	26	0	15	5	336	466	580	1.046	244	396	16	19	450	80	—	—	—	—	—	—
2026	19	ROK	ACL Dodgers	—	160	131	30	2	4	3	26	34	1	17	1	229	361	374	735	145	284	21	16	332	45	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL LAD Mega	—	152	122	19	3	1	0	25	39	2	15	4	156	309	197	505	41	217	26	16	247	53	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	165	141	29	6	3	2	22	33	0	15	5	206	313	333	646	128	249	20	13	286	80	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	160	141	23	1	3	2	16	49	1	17	1	163	253	255	508	92	227	31	10	234	45	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Mega	—	152	122	19	3	1	0	25	39	2	15	4	156	309	197	505	41	226	26	16	247	53	—	—	—	—	—	—
2024	17	ROK RAW	DSL LAD Mega	—	152	111	27	5	1	1	36	32	2	15	4	243	436	333	770	90	329	21	24	361	53	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	165	141	29	6	3	2	22	33	0	15	5	206	313	333	646	128	255	20	13	286	80	—	—	—	—	—	—
2025	18	ROK RAW	DSL LAD Mega	—	165	131	44	10	5	4	32	26	0	15	5	336	466	580	1.046	244	396	16	19	450	80	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	160	141	23	1	3	2	16	49	1	17	1	163	253	255	508	92	231	31	10	234	45	—	—	—	—	—	—
2026	19	ROK RAW	ACL Dodgers	—	160	131	30	2	4	3	26	34	1	17	1	229	361	374	735	145	284	21	16	332	45	—	—	—	—	—	—
2024	17	ROK MLE	DSL LAD Mega	—	152	124	19	3	1	0	25	39	2	15	4	153	309	194	502	40	217	26	16	247	53	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	165	142	29	6	3	2	22	33	0	15	5	204	313	331	644	127	249	20	13	286	80	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	160	142	23	1	3	2	16	49	1	17	1	162	253	254	507	92	227	31	10	234	45	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL LAD Mega	—	152	124	19	3	1	0	25	39	2	15	4	153	309	194	502	40	217	26	16	247	53	—	—	—	—	—	—
2025	18	ROK MLE	DSL LAD Mega	—	165	142	29	6	3	2	22	33	0	15	5	204	313	331	644	127	249	20	13	286	80	—	—	—	—	—	—
2026	19	ROK MLE	ACL Dodgers	—	160	142	23	1	3	2	16	49	1	17	1	162	253	254	507	92	227	31	10	234	45	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	LAD	0%	270	242	51	9	3	3	24	72	2	7	1	212	290	313	603	101	284	27	9	274	72	-9	+1	-2	+1	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	LAD	34%	133	119	25	4	1	2	12	35	1	3	1	217	295	328	623	111	285	26	9	282	77	-4	+0	-1	+0	+3	-0.1
2029	22	MLB MLE	LAD	48%	226	202	44	7	2	4	20	59	2	6	1	220	298	339	638	119	287	26	9	288	81	-5	+1	-1	+1	+5	0.0
2030	23	MLB MLE	LAD	54%	321	286	64	11	3	6	29	82	3	8	2	223	301	348	649	125	288	26	9	293	84	-6	+1	-1	+1	+7	0.2
2031	24	MLB MLE	LAD	55%	390	349	79	13	4	8	35	99	3	10	2	226	303	355	658	129	289	25	9	296	87	-6	+1	-0	+1	+8	0.5
2032	25	MLB MLE	LAD	56%	430	384	87	15	4	9	39	108	4	11	2	227	305	359	664	132	289	25	9	298	88	-6	+1	-0	+2	+9	0.6
2033	26	MLB MLE	LAD	56%	450	402	92	16	4	10	41	114	4	11	2	227	305	359	664	132	289	25	9	298	88	-6	+1	-0	+2	+10	0.6
2034	27	MLB MLE	LAD	55%	458	409	93	16	4	10	42	116	4	11	2	226	304	356	660	130	288	25	9	297	87	-7	+1	-0	+2	+10	0.6
2035	28	MLB MLE	LAD	55%	456	408	91	16	4	9	41	117	4	10	2	224	302	352	653	127	287	26	9	294	85	-8	+1	-1	+2	+10	0.4
2036	29	MLB MLE	LAD	53%	448	401	89	15	4	9	40	116	4	9	2	222	299	345	644	124	286	26	9	290	83	-9	+1	-1	+2	+10	0.2
2037	30	MLB MLE	LAD	53%	439	394	85	14	4	8	39	115	3	8	2	218	295	337	632	119	284	26	9	286	79	-11	+1	-2	+2	+10	-0.1
2028	21	MLB CTX	LAD	34%	46	42	8	1	0	1	4	12	0	1	0	212	291	320	611	108	278	26	9	277	77	-1	+0	-0	+0	+1	-0.0
2029	22	MLB CTX	LAD	48%	110	98	21	3	1	2	10	29	1	3	1	216	294	332	626	116	279	26	9	284	81	-2	+0	-1	+0	+2	-0.0
2030	23	MLB CTX	LAD	54%	174	154	35	6	1	4	16	45	2	4	1	219	297	341	638	122	281	26	9	288	84	-3	+0	-0	+1	+4	0.1
2031	24	MLB CTX	LAD	55%	216	192	43	7	2	5	20	55	2	5	1	222	300	348	647	126	282	25	9	292	87	-3	+1	-0	+1	+5	0.3
2032	25	MLB CTX	LAD	56%	241	215	48	8	2	5	22	61	2	6	1	223	301	352	653	129	282	25	9	294	88	-3	+1	-0	+1	+5	0.3
2033	26	MLB CTX	LAD	56%	253	226	50	8	2	6	23	64	2	6	1	223	301	352	653	130	282	25	9	294	88	-4	+1	-0	+1	+5	0.4
2034	27	MLB CTX	LAD	55%	253	226	50	8	2	6	23	64	2	6	1	222	300	350	650	128	281	25	9	293	87	-4	+1	-0	+1	+5	0.3
2035	28	MLB CTX	LAD	55%	250	223	49	8	2	5	23	64	2	6	1	220	298	345	643	125	280	26	9	290	85	-4	+1	-0	+1	+5	0.2
2036	29	MLB CTX	LAD	53%	239	213	47	8	2	5	22	62	2	5	1	217	295	339	634	121	279	26	9	286	83	-5	+1	-1	+1	+5	0.1
2037	30	MLB CTX	LAD	53%	231	206	45	7	2	5	21	61	2	4	1	214	291	331	622	116	277	26	9	282	79	-6	+0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2013	1795	396	64	16	44	184	517	17	46	9	221	299	348	647	127	283	26	9	289	82	-36	+6	-4	+7	+44	1.6
/ 162G	—	A+C		—	650	580	128	21	5	14	59	167	5	15	3	221	298	347	645	126	284	26	9	289	82	-12	+2	-1	+2	+14	0.5
Career	—	MLE		—	4310	3832	836	140	42	80	408	1104	36	136	28	218	299	339	639	121	283	26	9	289	82	-72	+11	-8	+14	+83	2.8
/ 162G	—	MLE		—	650	578	126	21	6	12	62	166	5	21	4	218	299	337	637	119	283	26	10	289	82	-12	+2	-1	+2	+14	0.5

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 Dodgers · 160 PAwOBA .327 → .234 (−93)K% 21.2% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.25%	÷1.000	×1.440	—	—	30.60%
BB% (unintentional) /PA	16.25%	÷1.000	×0.620	—	×0.995	10.02%
HBP% /PA	0.62%	—	×0.720	—	×0.995	0.45%
Singles /BIP	21.65%	÷1.000	×0.820	×1.013	×0.995	17.89%
Doubles /BIP	2.06%	÷1.000	×0.720	×1.013	×0.995	1.50%
Triples /BIP	4.12%	÷1.000	×0.720	×1.013	×0.995	2.99%
Home runs /BIP	3.09%	÷1.000	×0.780	—	×0.995	2.40%

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 ×1.013.

Result: wOBA .327 → .234; ISO .145 → .106; BABIP .284 → .227. 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 LAD Mega · 165 PAwOBA .439 → .286 (−153)K% 15.8% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.76%	÷0.957	×1.220	—	—	20.09%
BB% (unintentional) /PA	19.39%	÷1.000	×0.700	—	×0.995	13.51%
HBP% /PA	0.00%	—	×0.700	—	×0.995	0.00%
Singles /BIP	23.81%	÷0.985	×0.680	×0.994	×0.995	16.25%
Doubles /BIP	9.52%	÷1.050	×0.600	×0.994	×0.995	5.38%
Triples /BIP	4.76%	÷0.988	×0.600	×0.994	×0.995	2.86%
Home runs /BIP	3.81%	÷1.011	×0.470	—	×0.995	1.76%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 97, 2B 110, 3B 98, K 91, BB 100 — 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 ×0.994.

Result: wOBA .439 → .286; ISO .244 → .137; BABIP .396 → .249. 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 LAD Mega · 152 PAwOBA .356 → .247 (−109)K% 21.1% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.994	×1.220	—	—	25.84%
BB% (unintentional) /PA	23.68%	÷1.030	×0.700	—	×1.008	16.21%
HBP% /PA	1.32%	—	×0.700	—	×1.008	0.93%
Singles /BIP	25.32%	÷0.988	×0.680	×0.978	×1.008	17.17%
Doubles /BIP	6.33%	÷0.953	×0.600	×0.978	×1.008	3.93%
Triples /BIP	1.27%	÷1.079	×0.600	×0.978	×1.008	0.69%
Home runs /BIP	1.27%	÷1.095	×0.470	—	×1.008	0.55%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 98, 2B 91, 3B 116, K 99, BB 106 — 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 ×0.978.

Result: wOBA .356 → .247; ISO .090 → .054; BABIP .329 → .217. 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
#1Jace 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
#2Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
#3Chris 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
#4Pat Kelly'91-'99 * career totals — 8 seasons, 2,235 PA	3.4	2,235	36	61	242*	299*	375*	+6	+11	3.7	3.8
/162	664	11	18	+1.7	+3.2	1.1	pk7: 4
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.2	2,095	42	48	224	298	351	+7	+0	3.2	3.0
/162	664	13	15	+2.4	+0.0	1.0	pk7: 3
#6Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	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
Reyli Mariano (OGILVIE)	20	—	—	—	—	210/287/311	101	284	1	2	27%	9%	72	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Jorge Barrosa 2021 · A	20	46→52	38→45	55	45	218/283/303	84	283	5	18	24%	6%	68	-1.0	233/297/347	114	294	9	19	23%	7%	83	+0.1	234/307/360	127	282	11	18	20%	9%	86	+0.3
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
●Abraham Almonte 2009 · A	20	41→51	41→55	53→55	45	200/260/302	102	263	8	18	27%	7%	59	-1.7	233/279/330	97	309	6	20	25%	6%	72	-0.7	259/316/379	120	330	8	25	22%	7%	94	+0.8
✕Arismendy Alcántara 2011 · A	19	41→51	37→55	57→55	47	196/252/275	79	246	4	14	22%	7%	49	-2.4	237/271/333	96	314	7	15	25%	4%	69	-0.9	241/284/391	150	317	14	25	28%	5%	86	+0.3
✕Shawn O'Malley 2008 · A	20	42→52	36→40	50→60	41	199/263/266	68	282	4	11	29%	6%	52	-2.2	217/293/272	55	302	1	24	26%	7%	65	-1.2	259/320/356	97	321	5	23	20%	7%	91	+0.4
✕Karexon Sanchez 2008 · A	20	40→47	38→45	50	46	194/262/268	74	258	6	14	26%	8%	52	-2.2	208/274/317	109	299	10	11	32%	7%	68	-1.0	220/298/324	104	305	10	11	29%	8%	76	-0.3
✕Jonatan Clase 2022 · A	20	43→48	40→50	59→65	47	205/283/296	91	289	7	26	30%	9%	66	-1.1	211/287/356	145	315	14	39	35%	9%	82	-0.0	210/288/361	151	303	15	47	33%	9%	81	-0.0
✕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
✕Alberto Rodriguez 2021 · A	20	42→52	38→50	52→50	44	203/259/282	79	268	5	14	25%	7%	53	-2.1	228/290/353	125	327	10	8	31%	7%	82	-0.0	228/292/360	132	326	11	7	31%	7%	81	-0.1
✕Rosell Herrera 2013 · A	20	40→50	37→45	48→55	42	193/245/268	75	263	5	9	28%	6%	45	-2.7	238/286/328	90	316	8	10	26%	6%	74	-0.6	253/308/344	91	321	4	24	21%	7%	84	+0.1
✕Adan Velazquez 2010 · A	20	41→51	40→45	53→50	45	197/263/292	95	245	6	11	22%	6%	58	-1.7	203/256/288	85	282	5	10	28%	5%	54	-2.0	254/293/350	97	308	8	4	20%	4%	79	-0.1
✕Leody Taveras 2019 · A	20	46→55	38→50	50→55	43	221/264/300	78	281	5	12	23%	6%	59	-1.7	221/273/323	102	301	8	19	27%	7%	68	-1.0	251/301/382	131	311	12	20	23%	7%	92	+0.7
✕Anthony Alford 2014 · A	20	44→52	40→45	55	45	209/282/305	97	298	6	12	30%	8%	68	-1.0	213/286/308	95	348	7	16	37%	9%	70	-0.8	220/302/313	92	336	7	21	33%	9%	75	-0.3
✕Danny Mars 2015 · A	21	43→53	40	54→55	43	210/262/297	87	274	7	15	26%	6%	58	-1.7	238/279/308	70	311	4	19	23%	5%	66	-1.1	257/294/328	70	338	3	19	24%	4%	73	-0.4
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Samad Taylor 2019 · A	21	39→49	41→50	54→65	45	193/258/302	109	254	8	22	26%	7%	58	-1.7	195/272/314	119	297	11	25	35%	8%	67	-1.1	242/320/377	134	335	14	46	29%	9%	98	+0.7
✕Delino DeShields 2012 · A	19	41→51	40→45	50→65	42	201/260/289	88	279	8	16	30%	6%	56	-1.9	234/302/339	105	318	8	38	27%	8%	83	+0.1	239/313/347	108	322	9	47	26%	8%	87	+0.3
✕Juan Villavicencio 2024 · A	19	36→44	38→50	51→55	47	174/251/254	80	234	5	13	26%	8%	45	-2.7	189/262/280	91	279	7	14	32%	8%	55	-1.9	193/266/307	113	285	10	20	34%	8%	61	-0.6

Reyli Mariano

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps