Endy Rios

SS DSL Padres Gold

Age 20 L/R 6'0" / 155 lbs ROK HR +5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1595ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Padres Br…	100	.194/.242/.258	0	3	-16	—	.126/.162/.168
2025	18	ROKDSL Padres Br…	116	.260/.357/.340	0	5	32	—	.173/.252/.221
2026	19	ROKDSL Padres Go…	163	.328/.421/.416	0	9	57	—	.217/.296/.266
2027PROJMLE	20	MLBSD	273	.214/.276/.293	2	5	61	0.0
2028PROJ34% MLB	21	MLBSD	46	.215/.278/.302	0	1	67	-0.0
2029PROJ48% MLB	22	MLBSD	110	.219/.283/.314	1	2	71	-0.0

Next 3 projected WAR -0.0Projected 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

wOBA73

K%68

wRC+66

Speed61

Z-Con%59

Whiff%53

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 99%

CompsConner Capel (age 20) · Matthew Sulentic (age 20) · Chuck Taylor (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 84 proj PA

wRC+†61

AVG/OBP/SLG.213 / .274 / .290

PA84

HR1

K%26

BB%7

ISO78

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 56 / POW 33

Toolsscout grade

CONTACT56

scouting grade only

POWER33

scouting grade only

EYE55

scouting grade only

SPEED56

scouting grade only

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	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.8M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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 Padres Brown	—	100	93	18	4	1	0	6	26	0	3	3	194	242	258	500	65	265	26	6	227	-16	—	—	—	—	—	—
2025	18	ROK	DSL Padres Brown	—	116	100	26	4	2	0	12	21	3	5	3	260	357	340	697	80	329	18	10	319	32	—	—	—	—	—	—
2026	19	ROK	DSL Padres Gold	—	163	137	45	8	2	0	21	29	1	9	3	328	421	416	837	88	417	18	13	372	57	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Padres Brown	—	100	95	12	2	1	0	4	33	0	3	3	126	162	168	330	42	180	33	4	145	-16	—	—	—	—	—	—
2025	18	ROK MLE	DSL Padres Brown	—	116	104	18	3	1	0	8	25	3	5	3	173	252	221	473	48	222	22	7	215	32	—	—	—	—	—	—
2026	19	ROK MLE	DSL Padres Gold	—	163	143	31	5	1	0	15	35	1	9	3	217	296	266	561	49	282	21	9	253	57	—	—	—	—	—	—
2024	17	ROK MLE	DSL Padres Brown	—	100	95	12	2	1	0	4	33	0	3	3	126	162	168	330	42	190	33	4	145	-16	—	—	—	—	—	—
2024	17	ROK RAW	DSL Padres Brown	—	100	93	18	4	1	0	6	26	0	3	3	194	242	258	500	65	265	26	6	227	-16	—	—	—	—	—	—
2025	18	ROK MLE	DSL Padres Brown	—	116	104	18	3	1	0	8	25	3	5	3	173	252	221	473	48	228	22	7	215	32	—	—	—	—	—	—
2025	18	ROK RAW	DSL Padres Brown	—	116	100	26	4	2	0	12	21	3	5	3	260	357	340	697	80	329	18	10	319	32	—	—	—	—	—	—
2026	19	ROK MLE	DSL Padres Gold	—	163	143	31	5	1	0	15	35	1	9	3	217	296	266	561	49	287	21	9	253	57	—	—	—	—	—	—
2026	19	ROK RAW	DSL Padres Gold	—	163	137	45	8	2	0	21	29	1	9	3	328	421	416	837	88	417	18	13	372	57	—	—	—	—	—	—
2024	17	ROK MLE	DSL Padres Brown	—	100	96	12	2	1	0	4	33	0	3	3	125	162	167	328	42	180	33	4	145	-16	—	—	—	—	—	—
2025	18	ROK MLE	DSL Padres Brown	—	116	104	18	3	1	0	8	25	3	5	3	173	252	221	473	48	222	22	7	215	32	—	—	—	—	—	—
2026	19	ROK MLE	DSL Padres Gold	—	163	146	31	5	1	0	15	35	1	9	3	212	296	260	556	48	282	21	9	253	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Padres Brown	—	100	96	12	2	1	0	4	33	0	3	3	125	162	167	328	42	180	33	4	145	-16	—	—	—	—	—	—
2025	18	ROK MLE	DSL Padres Brown	—	116	104	18	3	1	0	8	25	3	5	3	173	252	221	473	48	222	22	7	215	32	—	—	—	—	—	—
2026	19	ROK MLE	DSL Padres Gold	—	163	146	31	5	1	0	15	35	1	9	3	212	296	260	556	48	282	21	9	253	57	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	SD	0%	273	250	53	9	2	2	19	72	2	5	1	214	276	293	569	78	290	26	7	259	61	-13	+1	+0	+3	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	SD	34%	135	123	27	5	1	1	10	35	1	3	1	219	282	307	589	89	291	26	7	267	67	-5	+0	+0	+1	+3	-0.1
2029	22	MLB MLE	SD	48%	228	208	47	8	2	3	16	58	2	5	1	222	286	319	605	97	292	25	7	274	71	-8	+1	+0	+2	+5	0.0
2030	23	MLB MLE	SD	54%	323	294	67	11	3	5	23	82	3	7	2	225	289	329	618	104	293	25	7	279	75	-10	+1	+0	+3	+7	0.1
2031	24	MLB MLE	SD	55%	392	356	81	14	3	6	29	99	4	9	2	228	292	337	629	109	294	25	7	283	78	-10	+1	+0	+4	+8	0.3
2032	25	MLB MLE	SD	56%	431	392	89	15	4	7	32	108	4	9	3	229	294	343	637	114	294	25	7	286	80	-10	+1	+0	+5	+9	0.4
2033	26	MLB MLE	SD	56%	451	410	94	16	4	8	34	113	4	10	3	229	294	344	638	115	294	25	8	287	80	-11	+1	+0	+5	+10	0.5
2034	27	MLB MLE	SD	55%	459	418	95	16	4	8	34	115	4	10	3	228	293	341	634	113	293	25	7	285	79	-11	+1	+0	+5	+10	0.4
2035	28	MLB MLE	SD	55%	459	418	95	16	4	8	34	116	4	9	3	226	291	337	628	110	293	25	7	283	78	-12	+1	-1	+5	+10	0.3
2036	29	MLB MLE	SD	53%	450	410	91	15	3	7	33	115	4	8	3	224	289	331	620	107	292	26	7	279	75	-13	+0	-1	+5	+10	0.0
2028	21	MLB CTX	SD	34%	46	43	8	1	0	0	3	12	0	1	0	215	278	302	580	87	286	26	7	264	67	-2	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	SD	48%	110	100	21	3	1	1	8	28	1	2	1	219	283	314	597	95	287	25	7	270	71	-4	+0	+0	+1	+2	-0.0
2030	23	MLB CTX	SD	54%	175	158	36	6	1	3	13	44	2	4	1	222	286	324	610	102	288	25	7	276	75	-5	+0	+0	+2	+4	0.1
2031	24	MLB CTX	SD	55%	217	197	45	7	2	4	16	55	2	5	1	224	289	332	621	108	289	25	7	280	78	-6	+1	+0	+2	+5	0.2
2032	25	MLB CTX	SD	56%	241	219	49	8	2	4	18	60	2	5	2	225	291	338	628	112	289	25	7	283	80	-6	+0	+0	+3	+5	0.2
2033	26	MLB CTX	SD	56%	254	231	52	8	2	5	19	64	2	6	2	226	291	339	630	113	288	25	7	283	80	-6	+0	+0	+3	+6	0.3
2034	27	MLB CTX	SD	55%	254	231	51	8	2	4	19	64	2	5	2	225	290	336	626	112	288	25	7	282	79	-6	+0	+0	+3	+6	0.2
2035	28	MLB CTX	SD	55%	252	229	51	8	2	4	19	64	2	5	2	223	288	332	620	109	287	25	8	280	78	-7	+0	-0	+3	+5	0.1
2036	29	MLB CTX	SD	53%	240	218	49	8	2	4	18	62	2	4	2	221	286	326	612	105	286	26	8	276	75	-7	+0	-1	+3	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1789	1626	362	57	14	29	133	453	15	37	13	223	287	328	616	106	289	25	7	279	72	-48	+2	-1	+19	+39	1.1
/ 162G	—	A+C		—	650	591	132	21	5	11	48	165	5	13	5	223	287	332	619	108	289	25	7	279	72	-18	+1	-0	+7	+14	0.4
Career	—	MLE		—	3791	3448	764	129	32	54	278	956	35	89	30	222	286	325	611	103	289	25	7	275	72	-94	+6	-2	+37	+74	2.0
/ 162G	—	MLE		—	650	591	130	22	5	9	48	164	6	15	5	220	285	320	605	100	287	25	7	275	72	-18	+1	-0	+7	+14	0.4

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 DSLDSL Padres Gold · 163 PAwOBA .363 → .253 (−110)K% 17.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.79%	÷1.000	×1.220	—	—	21.71%
BB% (unintentional) /PA	12.88%	÷1.000	×0.700	—	×0.995	8.97%
HBP% /PA	0.61%	—	×0.700	—	×0.995	0.43%
Singles /BIP	32.41%	÷1.000	×0.680	×1.026	×0.995	22.51%
Doubles /BIP	7.41%	÷1.000	×0.600	×1.026	×0.995	4.54%
Triples /BIP	1.85%	÷1.000	×0.600	×1.026	×0.995	1.13%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL 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 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 ×1.026.

Result: wOBA .363 → .253; ISO .088 → .056; BABIP .417 → .282. 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 Padres Brown · 116 PAwOBA .312 → .215 (−97)K% 18.1% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.10%	÷1.026	×1.220	—	—	21.52%
BB% (unintentional) /PA	10.34%	÷1.000	×0.700	—	×1.008	7.30%
HBP% /PA	2.59%	—	×0.700	—	×1.008	1.82%
Singles /BIP	25.32%	÷1.050	×0.680	×1.039	×1.008	17.17%
Doubles /BIP	5.06%	÷0.959	×0.600	×1.039	×1.008	3.32%
Triples /BIP	2.53%	÷0.948	×0.600	×1.039	×1.008	1.68%
Home runs /BIP	0.00%	÷0.880	×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 76, 1B 110, 2B 92, 3B 90, K 105, BB 100 — 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 ×1.039.

Result: wOBA .312 → .215; ISO .080 → .054; BABIP .329 → .222. 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 Padres Brown · 100 PAwOBA .224 → .145 (−79)K% 26.0% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.00%	÷0.974	×1.220	—	—	32.58%
BB% (unintentional) /PA	6.00%	÷1.036	×0.700	—	×1.022	4.14%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	19.40%	÷1.000	×0.680	×1.017	×1.022	13.72%
Doubles /BIP	5.97%	÷1.015	×0.600	×1.017	×1.022	3.67%
Triples /BIP	1.49%	÷1.000	×0.600	×1.017	×1.022	0.93%
Home runs /BIP	0.00%	÷0.908	×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 82, 1B 100, 2B 103, 3B 100, K 95, BB 107 — 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 ×1.017.

Result: wOBA .224 → .145; ISO .065 → .038; BABIP .265 → .180. 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
#1Cliff 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
#2Gene 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
#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
#4Mike Tyson'72-'81 * career totals — 9 seasons, 3,200 PA	4.8	3,200	27	23	236*	281*	354*	+20	+24	1.9	3.3
/162	664	6	5	+4.1	+4.9	0.4	pk7: 5
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.8	1,874	29	39	227	288	335	+20	+18	2.5	2.5
/162	664	10	14	+7.1	+6.4	0.9	pk7: 2
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Endy Rios (OGILVIE)	20	51→56	28→33	51→56	55	213/274/290	77	290	1	2	26%	7%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Conner Capel 2017 · A	20	40→48	36→45	52→55	44	191/238/258	68	240	2	13	21%	5%	40	-3.1	210/265/335	125	281	12	11	28%	7%	68	-1.0	226/297/349	123	283	12	19	23%	8%	80	-0.1
✕Matthew Sulentic 2008 · A	20	39→49	37→45	46→50	42	188/239/253	66	241	4	6	24%	5%	39	-3.1	242/290/344	102	337	8	11	29%	6%	79	-0.2	256/305/351	95	360	7	13	29%	6%	83	+0.1
✕Chuck Taylor 2013 · A	19	41→51	34→40	49→50	38	192/244/246	54	294	2	14	34%	6%	39	-3.1	222/285/291	69	303	3	8	26%	7%	65	-1.2	240/305/325	85	298	6	4	20%	7%	78	-0.2
✕Leandro Pineda 2021 · A	19	36→46	35→50	44→45	45	173/242/228	54	227	3	6	24%	7%	36	-3.4	177/254/265	88	265	6	6	33%	8%	49	-2.4	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Allen Córdoba 2015 · A	19	39→49	34→45	49→55	44	186/237/237	51	235	2	11	22%	6%	34	-3.5	231/281/302	71	278	4	13	17%	5%	66	-1.1	250/305/328	79	295	5	15	16%	6%	79	-0.1
✕Luis Ayala 2015 · A	19	38→48	34→40	48→55	41	177/246/223	46	278	2	14	34%	7%	36	-3.4	199/266/264	65	281	2	18	27%	7%	52	-2.2	210/274/280	70	288	2	21	26%	7%	57	-0.9
✕Edwin Espinal 2014 · A	20	41→51	37→45	45→30	42	198/242/268	70	254	4	5	23%	5%	43	-2.8	237/274/324	87	284	7	2	18%	4%	68	-1.0	251/290/351	100	295	10	0	18%	4%	79	-0.2
✕Derrick Loveless 2013 · A	20	36→46	38→45	53→50	38	169/237/250	81	288	4	6	40%	7%	38	-3.2	196/267/290	94	301	6	7	34%	9%	59	-1.7	192/275/292	101	297	8	8	35%	10%	61	-1.0
✕Corey Adamson 2013 · A	21	38→48	36→40	41→50	43	181/243/244	62	258	3	8	30%	7%	39	-3.1	224/289/317	93	304	6	16	26%	8%	73	-0.6	232/300/332	100	312	6	19	26%	7%	78	-0.2
✕Tyler Massey 2010 · A	21	41→48	36→45	44→50	35	198/229/266	67	285	4	8	31%	4%	37	-3.3	194/231/274	80	279	5	9	31%	4%	40	-3.0	221/262/327	106	279	11	16	24%	5%	62	-1.2
✕Jesus Solorzano 2011 · A	20	38→46	34→45	51→55	37	182/244/237	54	264	2	12	30%	5%	38	-3.2	211/256/301	90	279	6	16	26%	4%	57	-1.8	211/240/307	96	291	8	21	30%	3%	49	-1.4
✕Gabriel Moncada 2021 · A	19	40→41	35→45	45→40	43	190/242/250	60	255	2	6	25%	6%	40	-3.1	206/288/306	100	297	8	4	31%	9%	72	-0.7	196/281/311	115	285	11	2	33%	9%	68	-0.5
✕Max White 2014 · A	20	37→45	38→45	45→60	34	172/228/249	77	310	6	11	44%	6%	34	-3.5	190/253/290	100	353	7	21	44%	7%	53	-2.1	203/271/320	117	323	9	30	37%	8%	64	-0.9
✕Jose Quero 2019 · A	20	37	39→40	44→30	45	183/248/260	77	238	7	3	25%	7%	45	-2.7	204/260/314	110	262	10	6	25%	7%	61	-1.5	193/245/339	146	221	15	4	21%	6%	65	-0.3
●Óscar Mercado 2015 · A	20	37→47	37→50	53→60	42	180/236/248	68	230	5	19	23%	5%	37	-3.3	205/252/275	70	255	4	26	20%	5%	49	-2.4	245/308/380	135	288	13	27	19%	7%	93	+0.7
✕Daniel Montano 2021 · A	22	35→45	39→45	48→50	37	178/219/266	87	253	6	10	32%	5%	34	-3.5	216/282/320	104	328	8	8	33%	8%	71	-0.8	213/289/324	112	322	9	6	34%	9%	73	-0.5
✕Alexander Palma 2016 · A	20	40	37→50	51→45	39	195/224/265	70	238	5	9	21%	3%	35	-3.4	219/252/328	109	266	10	8	21%	4%	61	-1.5	240/278/387	146	288	16	7	22%	4%	81	-0.0
✕Junior Amarante 2015 · A	20	39	33→30	55	45	184/252/228	44	256	1	18	27%	7%	39	-3.1	198/256/252	54	281	2	13	28%	6%	46	-2.6	173/227/195	22	249	0	14	29%	4%	19	-1.2
✕Darwin Alvarado 2019 · A	20	38	35→30	49→50	41	181/243/230	50	265	3	9	31%	6%	36	-3.3	191/243/260	69	259	4	10	26%	6%	42	-2.9	152/201/197	46	195	3	14	23%	5%	11	-1.4
✕Francisco Sosa 2010 · A	20	37→46	35→45	47→50	41	179/246/236	57	257	3	14	30%	6%	38	-3.2	179/236/257	78	276	6	11	35%	6%	40	-3.1	193/249/307	115	289	12	14	36%	6%	54	-1.1

Endy Rios

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps