Sandy León

C Gwinnett Stripers

Age 38 S/R 5'9" / 235 lbs AAA Svc 3.815 · Ctrl thru 2029

Overview

AAAArb-1FA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	35	AAA/INTL2 orgs	413	.198/.340/.307	9	0	53	—	.145/.248/.192
2025	36	AAA/INTL2 orgs	249	.163/.256/.335	10	2	14	—	.123/.174/.251
2026	37	AAAATL	110	.168/.269/.263	2	2	6	—	.120/.185/.170
2026	37	MLBATL	44	.091/.091/.091	0	0	-58	-0.5
2027PROJ10% MLB	38	MLBATL	10	.178/.239/.306	0	0	52	-0.0
2028PROJ	39	MLBATL	80	.168/.227/.281	2	0	42	-1.1

Last 3 seasons WAR -0.5 · Next 2 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.815First FA2030

2027Arb-1$0.2M2028Arb-2$0.4M2029Ext$0.6M

Skills · percentileMiLB Statcast 2026 AAA

BB%64

Chase%53

Speed39

Max EV32

Z-Con%22

Whiff%15

CompsErik Kratz (age 37) · Alan Zinter (age 38) · Jonathan Aceves (age 37)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†52

AVG/OBP/SLG.178 / .239 / .306

PA10

HR0

K%30

BB%10

BABIP243

ISO125

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 25 / POW 60

Toolsscout grade · Statcast %ile · 2023-2026

CONTACT25

xAVG

100.130

POWER60

Barrel%

102.0

Avg EV

1084.5

Bat Spd

1167.1

EYE40

scouting grade only

SPEED45

Sprint

1022.1

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

Status Arb-1

MLB Debut 2012

Service 3.815 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$0.2M	—	—	—
2028	Arb-2	$0.4M	—	—	—
2029	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-4M	+$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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2007	18	ROK	GCL Nationals	—	115	94	19	0	0	0	17	15	0	0	0	202	324	202	526		241	13	15	253	17	—	—	—	—	—	—
2008	19	ROK	GCL Nationals	—	86	74	14	1	1	0	9	18	2	1	2	189	294	230	524	41	250	21	10	250	3	—	—	—	—	—	—
2009	20	A	Hagerstown Suns	—	83	78	17	3	0	0	5	21	0	0	0	218	265	256	521	38	298	25	6	241	13	—	—	—	—	—	—
2010	21	A	Hagerstown Suns	—	385	325	81	10	6	2	50	79	0	3	5	249	349	335	685	86	317	21	13	308	66	—	—	—	—	—	—
2011	22	A+	Potomac Nationals	—	416	370	93	21	1	6	33	69	1	1	3	251	314	362	677	111	292	17	8	297	51	—	—	—	—	—	—
2011	22	INTL	Aguilas del Zulia	—	32	28	7	0	0	0	4	4	0	0	0	250	344	250	594		292	12	12	285	79	—	—	—	—	—	—
2012	23	MLB	Washington Nationals	—	36	30	8	2	0	0	4	11	2	0	0	267	389	333	722	67	421	31	11	341	116	+1	+0	+2	+6	+1	1.0
2012	23	AAA	Syracuse Chiefs	—	64	52	18	5	0	2	12	12	0	0	0	346	469	558	1.026	212	421	19	19	452	153	—	—	—	—	—	—
2012	23	AA	Harrisburg Senators	—	149	135	42	12	0	1	9	16	2	1	0	311	363	422	785	111	342	11	6	346	97	—	—	—	—	—	—
2012	23	INTL	Aguilas del Zulia	—	93	86	21	1	1	1	6	23	0	1	1	244	293	314	607	70	323	25	6	274	71	—	—	—	—	—	—
2013	24	AA	Harrisburg Senators	—	362	311	55	12	1	3	47	57	3	0	0	177	291	251	542	74	206	16	13	258	34	—	—	—	—	—	—
2013	24	INTL	Aguilas del Zulia	—	142	119	42	8	1	2	20	26	2	1	1	353	454	487	941	134	435	18	14	419	170	—	—	—	—	—	—
2014	25	MLB	Washington Nationals	—	70	64	10	1	0	1	6	20	0	0	0	156	229	219	447	62	209	29	9	211	29	-6	+0	+2	+8	+2	0.5
2014	25	AAA	Syracuse Chiefs	—	193	170	39	9	0	5	23	36	0	1	0	229	321	371	692	141	264	19	12	314	57	—	—	—	—	—	—
2014	25	INTL	Aguilas del Zulia	—	173	147	31	8	1	2	17	27	1	1	0	211	297	320	617	109	238	16	10	270	69	—	—	—	—	—	—
2015	26	MLB	Boston Red Sox	—	128	114	21	2	0	0	7	28	1	0	1	184	238	202	439	18	244	22	5	198	14	-13	-0	+2	+7	+3	-0.2
2015	26	AAA	Pawtucket Red Sox	—	111	99	26	4	0	1	10	23	2	0	1	263	342	333	676	71	333	21	9	312	68	—	—	—	—	—	—
2015	26	INTL	Venezuela	—	154	130	31	4	1	1	19	27	1	0	0	238	340	308	648	69	288	18	12	295	86	—	—	—	—	—	—
2016	27	MLB	Boston Red Sox	—	283	252	78	17	2	7	23	66	2	0	0	310	372	476	848	167	392	23	8	368	128	+9	+0	+4	+7	+6	2.8
2016	27	AAA	Pawtucket Red Sox	—	130	115	28	3	1	2	11	24	2	0	0	243	320	339	659	96	286	18	8	298	65	—	—	—	—	—	—
2017	28	MLB	Boston Red Sox	—	301	271	61	14	0	7	25	74	1	0	0	225	293	354	647	129	280	25	8	289	75	-9	+0	+12	+5	+7	1.5
2018	29	MLB	Boston Red Sox	—	288	265	47	12	0	5	15	75	4	1	0	177	232	279	512	102	226	26	5	230	38	-21	+0	+21	+5	+6	1.1
2019	30	MLB	Boston Red Sox	—	191	172	33	3	0	5	13	47	1	0	0	192	253	297	549	105	231	25	7	244	50	-11	+0	+6	+4	+4	0.3
2019	30	AAA	Pawtucket Red Sox	—	26	25	3	0	0	0	1	6	0	0	1	120	154	120	274		158	23	4	131	-39	—	—	—	—	—	—
2020	31	MLB	Cleveland Indians	—	81	66	9	1	0	2	14	21	1	0	0	136	296	242	539	106	163	26	17	264	65	-3	+0	+1	+3	+2	0.2
2020	31	INTL	Tigres del Licey	—	59	50	8	0	0	3	8	16	1	0	0	160	288	340	628	180	161	27	14	290	82	—	—	—	—	—	—
2021	32	MLB	Miami Marlins	—	220	202	37	5	0	4	12	65	3	0	0	183	240	267	507	84	244	30	5	230	46	-14	+0	+5	+4	+5	-0.0
2021	32	INTL	Colombia	—	22	16	5	0	0	0	6	1	0	0	0	312	500	312	812		333	5	27	396	154	—	—	—	—	—	—
2022	33	MLB	Minnesota Twins	—	86	71	12	3	0	0	13	27	0	0	0	169	298	211	509	42	273	31	15	245	52	-5	+0	+1	+3	+2	0.1
2022	33	AAA	Columbus Clippers	—	100	84	19	3	0	2	14	14	1	0	0	226	343	333	677	107	246	14	14	312	57	—	—	—	—	—	—
2023	34	MLB	Texas Rangers	—	44	41	6	2	0	0	1	20	1	0	0	146	186	195	381	49	286	45	2	173	4	-5	+0	-0	+4	+1	0.0
2023	34	AAA	Columbus Clippers	—	76	61	14	3	0	2	14	14	1	0	0	230	382	377	759	148	267	18	18	351	65	—	—	—	—	—	—
2023	34	INTL	Tigres de Aragua	—	118	98	16	5	0	0	14	25	0	0	0	163	268	214	482	51	213	21	12	222	36	—	—	—	—	—	—
2024	35	AAA	Gwinnett Stripers	—	297	237	43	4	0	5	51	85	2	0	0	181	331	262	593	80	253	29	17	281	29	—	—	—	—	—	—
2024	35	INTL	Aguilas del Zulia	—	116	92	22	5	0	4	16	28	2	0	0	239	364	424	788	185	295	24	14	337	114	—	—	—	—	—	—
2025	36	AAA	Gwinnett Stripers	—	211	187	31	6	0	10	18	66	2	2	0	166	246	358	605	193	188	31	9	266	8	—	—	—	—	—	—
2025	36	INTL	Navegantes del Magallanes	—	38	28	4	1	0	0	5	10	2	0	0	143	314	179	493	36	222	26	13	236	46	—	—	—	—	—	—
2026	37	MLB	Atlanta Braves	—	44	44	4	0	0	0	0	18	0	0	0	91	91	91	182		154	41	0	82	-58	-8	+0	+0	+3	+1	-0.5
2026	37	AAA	Gwinnett Stripers	—	110	95	16	3	0	2	13	43	0	2	0	168	269	263	532	95	275	39	12	246	6	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1772	1592	326	62	2	31	133	472	16	1	1	205	273	305	577	100	269	27	8	260	62	-80	-0	+56	+60	+38	7.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	18	ROK MLE	GCL Nationals	—	115	101	17	0	0	0	10	22	0	0	0	168	243	168	412		205	19	9	193	17	—	—	—	—	—	—
2008	19	ROK MLE	GCL Nationals	—	86	77	11	1	1	0	6	26	2	1	2	143	224	182	405	39	196	30	7	172	3	—	—	—	—	—	—
2009	20	A MLE	Hagerstown Suns	—	83	80	14	2	0	0	3	28	0	0	0	175	205	200	405	25	275	34	4	188	13	—	—	—	—	—	—
2010	21	A MLE	Hagerstown Suns	—	385	340	76	9	6	1	35	103	0	3	5	224	296	294	590	71	300	27	9	266	66	—	—	—	—	—	—
2011	22	A+ MLE	Potomac Nationals	—	416	383	82	17	1	5	20	101	1	1	3	214	255	303	558	89	266	24	5	244	51	—	—	—	—	—	—
2012	23	MLB MLE	Washington Nationals	—	36	30	8	2	0	0	4	11	2	0	0	267	389	333	722	67	421	31	11	339	116	+1	+0	+2	+6	+1	1.0
2012	23	AAA MLE	Syracuse Chiefs	—	64	56	17	4	0	2	8	15	0	0	0	304	391	482	873	179	398	23	12	394	153	—	—	—	—	—	—
2012	23	AA MLE	Harrisburg Senators	—	149	137	40	10	0	1	7	19	2	1	0	292	336	387	722	95	322	13	5	312	97	—	—	—	—	—	—
2013	24	AA MLE	Harrisburg Senators	—	362	327	53	12	1	2	31	67	3	0	0	162	241	223	464	61	197	19	9	219	34	—	—	—	—	—	—
2014	25	MLB MLE	Washington Nationals	—	70	64	10	1	0	1	6	20	0	0	0	156	229	219	447	62	209	29	9	211	29	-6	+0	+2	+8	+2	0.5
2014	25	AAA MLE	Syracuse Chiefs	—	193	178	34	7	0	4	15	45	0	1	0	191	254	298	552	107	233	23	8	253	57	—	—	—	—	—	—
2015	26	MLB MLE	Boston Red Sox	—	128	115	21	2	0	0	6	28	1	0	1	183	230	200	430	17	244	22	5	189	14	-13	-0	+2	+7	+3	-0.2
2015	26	AAA MLE	Pawtucket Red Sox	—	111	102	24	4	0	1	7	29	2	0	1	235	297	304	601	69	322	26	6	268	68	—	—	—	—	—	—
2016	27	MLB MLE	Boston Red Sox	—	283	253	75	15	2	7	22	66	2	0	0	296	357	455	812	158	392	23	8	357	128	+9	+0	+4	+7	+6	2.8
2016	27	AAA MLE	Pawtucket Red Sox	—	130	119	28	3	1	2	7	29	2	0	0	235	289	328	617	92	277	22	5	265	65	—	—	—	—	—	—
2017	28	MLB MLE	Boston Red Sox	—	301	272	58	12	0	7	24	74	1	0	0	213	279	335	614	121	280	25	8	279	75	-9	+0	+12	+5	+7	1.5
2018	29	MLB MLE	Boston Red Sox	—	288	265	46	11	0	5	15	75	4	1	0	174	229	272	501	98	226	26	5	224	38	-21	+0	+21	+5	+6	1.1
2019	30	MLB MLE	Boston Red Sox	—	191	172	33	3	0	5	13	47	1	0	0	192	253	297	549	105	231	25	7	242	50	-11	+0	+6	+4	+4	0.3
2019	30	AAA MLE	Pawtucket Red Sox	—	26	25	3	0	0	0	1	7	0	0	1	120	154	120	274		150	27	4	110	-39	—	—	—	—	—	—
2020	31	MLB MLE	Cleveland Indians	—	81	66	9	1	0	2	14	21	1	0	0	136	296	242	539	106	163	26	17	264	65	-3	+0	+1	+3	+2	0.2
2021	32	MLB MLE	Miami Marlins	—	220	202	37	5	0	4	12	65	3	0	0	183	240	267	507	84	244	30	5	237	46	-14	+0	+5	+4	+5	-0.0
2022	33	MLB MLE	Minnesota Twins	—	86	71	12	3	0	0	13	27	0	0	0	169	298	211	509	42	273	31	15	245	52	-5	+0	+1	+3	+2	0.1
2022	33	AAA MLE	Columbus Clippers	—	100	88	16	2	0	1	10	16	1	0	0	182	273	239	511	57	218	16	10	252	57	—	—	—	—	—	—
2023	34	MLB MLE	Texas Rangers	—	44	41	6	2	0	0	1	20	1	0	0	146	186	195	381	49	286	45	2	175	4	-5	+0	-0	+4	+1	0.0
2023	34	AAA MLE	Columbus Clippers	—	76	66	12	2	0	1	9	17	1	0	0	182	289	258	547	76	227	22	12	264	65	—	—	—	—	—	—
2024	35	AAA MLE	Gwinnett Stripers	—	297	255	37	3	0	3	33	106	2	0	0	145	248	192	440	47	218	36	11	211	29	—	—	—	—	—	—
2025	36	AAA MLE	Gwinnett Stripers	—	211	195	24	4	0	7	10	81	2	2	0	123	174	251	425	128	148	38	5	180	8	—	—	—	—	—	—
2026	37	MLB MLE	Atlanta Braves	—	44	44	4	0	0	0	0	18	0	0	0	91	91	91	182		154	41	0	82	-58	-8	+0	+0	+3	+1	-0.5
2026	37	AAA MLE	Gwinnett Stripers	—	110	100	12	2	0	1	8	52	0	2	0	120	185	170	355	50	231	47	7	177	6	—	—	—	—	—	—
2007	18	ROK MLE	GCL Nationals	—	115	101	17	0	0	0	10	22	0	0	0	168	243	168	412		215	19	9	193	17	—	—	—	—	—	—
2007	18	ROK RAW	GCL Nationals	—	115	94	19	0	0	0	17	15	0	0	0	202	324	202	526		241	13	15	253	17	—	—	—	—	—	—
2008	19	ROK MLE	GCL Nationals	—	86	77	11	1	1	0	6	26	2	1	2	143	224	182	405	39	216	30	7	172	3	—	—	—	—	—	—
2008	19	ROK RAW	GCL Nationals	—	86	74	14	1	1	0	9	18	2	1	2	189	294	230	524	41	250	21	10	250	3	—	—	—	—	—	—
2009	20	A MLE	Hagerstown Suns	—	83	80	14	2	0	0	3	28	0	0	0	175	205	200	405	25	269	34	4	188	13	—	—	—	—	—	—
2009	20	A RAW	Hagerstown Suns	—	83	78	17	3	0	0	5	21	0	0	0	218	265	256	521	38	298	25	6	241	13	—	—	—	—	—	—
2010	21	A MLE	Hagerstown Suns	—	385	340	76	9	6	1	35	103	0	3	5	224	296	294	590	71	311	27	9	266	66	—	—	—	—	—	—
2010	21	A RAW	Hagerstown Suns	—	385	325	81	10	6	2	50	79	0	3	5	249	349	335	685	86	317	21	13	308	66	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	448	413	90	19	1	6	22	108	1	1	3	218	259	312	572	94	278	24	5	244	51	—	—	—	—	—	—
2011	22	A+ RAW	2 teams	—	448	398	100	21	1	6	37	73	1	1	3	251	317	354	671	103	292	16	8	296	51	—	—	—	—	—	—
2012	23	AA MLE	4 teams	—	342	308	90	23	0	4	26	62	4	2	1	292	355	406	761	114	352	18	8	337	114	—	—	—	—	—	—
2012	23	AA RAW	4 teams	—	342	303	89	20	1	4	31	62	4	2	1	294	367	406	773	112	356	18	9	345	114	—	—	—	—	—	—
2013	24	AA MLE	2 teams	—	504	453	74	17	1	3	44	93	5	1	1	163	245	225	470	62	198	18	9	219	34	—	—	—	—	—	—
2013	24	AA RAW	2 teams	—	504	430	97	20	2	5	67	83	5	1	1	226	337	316	653	91	267	16	13	304	34	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	436	391	73	13	0	9	36	107	1	2	0	187	257	289	546	102	229	25	8	242	50	—	—	—	—	—	—
2014	25	AAA RAW	3 teams	—	436	381	80	18	1	8	46	83	1	2	0	210	297	325	622	115	245	19	11	280	50	—	—	—	—	—	—
2015	26	INTL MLE	3 teams	—	393	357	73	9	0	1	22	93	4	0	2	204	258	238	497	34	272	24	6	225	39	—	—	—	—	—	—
2015	26	INTL RAW	3 teams	—	393	343	78	10	1	2	36	78	4	0	2	227	308	280	588	52	287	20	9	268	39	—	—	—	—	—	—
2016	27	MLB MLE	2 teams	—	413	372	103	18	3	9	29	95	4	0	0	277	336	414	750	137	346	23	7	328	108	+4	+0	+4	+7	+9	2.5
2016	27	MLB RAW	2 teams	—	413	367	106	20	3	9	34	90	4	0	0	289	356	433	789	144	357	22	8	346	108	+4	+0	+4	+7	+9	2.5
2017	28	MLB MLE	Boston Red Sox	—	301	272	58	12	0	7	24	74	1	0	0	213	279	335	614	121	263	25	8	279	75	-9	+0	+12	+5	+7	1.5
2017	28	MLB RAW	Boston Red Sox	—	301	271	61	14	0	7	25	74	1	0	0	225	293	354	647	129	280	25	8	289	75	-9	+0	+12	+5	+7	1.5
2018	29	MLB MLE	Boston Red Sox	—	288	265	46	11	0	5	15	75	4	1	0	174	229	272	501	98	220	26	5	224	38	-21	+0	+21	+5	+6	1.1
2018	29	MLB RAW	Boston Red Sox	—	288	265	47	12	0	5	15	75	4	1	0	177	232	279	512	102	226	26	5	230	38	-21	+0	+21	+5	+6	1.1
2019	30	MLB MLE	2 teams	—	217	197	35	3	0	5	14	54	1	0	1	178	236	269	505	91	216	25	6	226	39	-16	-0	+6	+4	+5	-0.1
2019	30	MLB RAW	2 teams	—	217	197	36	3	0	5	14	53	1	0	1	183	241	274	515	91	221	24	6	231	39	-16	-0	+6	+4	+5	-0.1
2020	31	MLB MLE	2 teams	—	140	114	15	2	0	3	24	36	2	0	0	132	293	228	521	96	160	26	17	264	65	-6	+0	+1	+3	+3	0.1
2020	31	MLB RAW	2 teams	—	140	116	17	1	0	5	22	37	2	0	0	147	293	284	577	138	162	26	16	275	65	-6	+0	+1	+3	+3	0.1
2021	32	MLB MLE	2 teams	—	242	223	42	6	0	5	13	72	3	0	0	188	243	283	525	94	250	30	5	237	46	-15	+0	+5	+4	+5	-0.1
2021	32	MLB RAW	2 teams	—	242	218	42	5	0	4	18	66	3	0	0	193	264	271	534	78	253	27	7	245	46	-15	+0	+5	+4	+5	-0.1
2022	33	AAA MLE	2 teams	—	186	159	28	5	0	1	23	43	1	0	0	176	284	226	511	50	233	23	12	249	54	—	—	—	—	—	—
2022	33	AAA RAW	2 teams	—	186	155	31	6	0	2	27	41	1	0	0	200	322	277	600	77	257	22	15	281	54	—	—	—	—	—	—
2023	34	INTL MLE	3 teams	—	238	209	37	9	0	3	20	73	2	0	0	177	255	263	519	86	252	31	8	231	43	—	—	—	—	—	—
2023	34	INTL RAW	3 teams	—	238	200	36	10	0	2	29	59	2	0	0	180	290	260	550	80	241	25	12	254	43	—	—	—	—	—	—
2024	35	AAA MLE	2 teams	—	413	350	53	5	0	5	46	148	4	0	0	151	258	209	466	57	239	36	11	211	29	—	—	—	—	—	—
2024	35	AAA RAW	2 teams	—	413	329	65	9	0	9	67	113	4	0	0	198	340	307	647	109	265	27	16	297	29	—	—	—	—	—	—
2025	36	AAA MLE	2 teams	—	249	226	27	4	0	8	12	96	4	2	0	119	178	243	421	124	154	39	5	180	8	—	—	—	—	—	—
2025	36	AAA RAW	2 teams	—	249	215	35	7	0	10	23	76	4	2	0	163	256	335	591	172	192	31	9	261	8	—	—	—	—	—	—
2026	37	AAA MLE	2 teams	—	154	144	16	2	0	1	8	70	0	2	0	111	158	146	304	35	203	45	5	150	-12	—	—	—	—	—	—
2026	37	AAA RAW	2 teams	—	154	139	20	3	0	2	13	61	0	2	0	144	217	209	426	65	234	40	8	199	-12	—	—	—	—	—	—
2007	18	ROK MLE	GCL Nationals	—	115	104	17	0	0	0	10	22	0	0	0	163	243	163	407		205	19	9	193	17	—	—	—	—	—	—
2008	19	ROK MLE	GCL Nationals	—	86	78	11	1	1	0	6	26	2	1	2	141	224	179	403	38	196	30	7	172	3	—	—	—	—	—	—
2009	20	A MLE	Hagerstown Suns	—	83	80	14	2	0	0	3	28	0	0	0	175	205	200	405	25	275	34	4	188	13	—	—	—	—	—	—
2010	21	A MLE	Hagerstown Suns	—	385	347	76	9	6	1	35	103	0	3	5	219	296	288	584	69	300	27	9	266	66	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	448	422	90	19	1	6	22	108	1	1	3	213	259	306	565	92	266	24	5	244	51	—	—	—	—	—	—
2012	23	AA MLE	4 teams	—	342	309	90	23	0	4	26	62	4	2	1	291	355	405	760	113	356	18	8	337	114	—	—	—	—	—	—
2013	24	AA MLE	2 teams	—	504	450	74	17	1	3	44	93	5	1	1	164	245	227	472	62	197	18	9	219	34	—	—	—	—	—	—
2014	25	AAA MLE	3 teams	—	436	396	73	13	0	9	36	107	1	2	0	184	257	285	542	101	227	25	8	242	50	—	—	—	—	—	—
2015	26	INTL MLE	3 teams	—	393	364	73	9	0	1	22	93	4	0	2	201	258	234	492	33	280	24	6	225	39	—	—	—	—	—	—
2016	27	MLB MLE	2 teams	—	413	377	103	18	3	9	29	95	4	0	0	273	336	408	744	135	356	23	7	328	108	—	—	—	—	—	—
2017	28	MLB MLE	Boston Red Sox	—	301	273	58	12	0	7	24	74	1	0	0	212	279	333	613	121	280	25	8	279	75	—	—	—	—	—	—
2018	29	MLB MLE	Boston Red Sox	—	288	267	46	11	0	5	15	75	4	1	0	172	229	270	499	97	226	26	5	224	38	—	—	—	—	—	—
2019	30	MLB MLE	2 teams	—	217	200	35	3	0	5	14	54	1	0	1	175	236	265	501	90	222	25	6	226	39	—	—	—	—	—	—
2020	31	MLB MLE	2 teams	—	140	113	15	2	0	3	24	36	2	0	0	133	293	230	523	97	163	26	17	264	65	—	—	—	—	—	—
2021	32	MLB MLE	2 teams	—	242	224	42	6	0	5	13	72	3	0	0	188	243	281	524	94	244	30	5	237	46	—	—	—	—	—	—
2022	33	AAA MLE	2 teams	—	186	160	28	5	0	1	23	43	1	0	0	175	284	225	509	50	243	23	12	249	54	—	—	—	—	—	—
2023	34	INTL MLE	3 teams	—	238	214	37	9	0	3	20	73	2	0	0	173	255	257	512	84	249	31	8	231	43	—	—	—	—	—	—
2024	35	AAA MLE	2 teams	—	413	360	53	5	0	5	46	148	4	0	0	147	258	203	460	56	218	36	11	211	29	—	—	—	—	—	—
2025	36	AAA MLE	2 teams	—	249	231	27	4	0	8	12	96	4	2	0	117	178	238	416	121	148	39	5	180	8	—	—	—	—	—	—
2026	37	AAA MLE	2 teams	—	154	145	16	2	0	1	8	70	0	2	0	110	158	145	303	34	209	45	5	150	-12	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	35	AAA MLE	2 teams	—	413	360	53	5	0	5	46	148	4	0	0	147	258	203	460	56	218	36	11	211	29	—	—	—	—	—	—
2025	36	AAA MLE	2 teams	—	249	231	27	4	0	8	12	96	4	2	0	117	178	238	416	121	148	39	5	180	8	—	—	—	—	—	—
2026	37	AAA MLE	2 teams	—	154	145	16	2	0	1	8	70	0	2	0	110	158	145	303	34	209	45	5	150	-12	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	38	MLB MLE	ATL	10%	170	156	27	5	1	4	11	57	1	1	1	178	239	306	545	127	243	34	6	245	52	-10	-0	-0	+3	+4	-0.3
▸ 2027 — real world (MLB)
2027	38	MLB CTX	ATL	10%	10	9	1	0	0	0	1	3	0	0	0	178	239	306	545	127	243	30	10	245	52	-1	+0	-0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	39	MLB MLE	ATL	100%	80	75	12	2	0	2	5	27	0	0	0	168	227	281	509	113	233	34	6	230	42	-6	+0	-9	+1	+2	-1.1
2028	39	MLB CTX	ATL	100%	80	75	12	2	0	2	5	27	0	0	0	168	227	281	509	113	233	34	6	230	42	-6	+0	-9	+1	+2	-1.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1852	1667	338	64	2	33	138	499	16	1	1	203	270	303	573	100	267	27	7	259	50	-85	-0	+47	+61	+40	6.4
/ 162G	—	A+C		—	650	585	119	22	1	12	48	175	6	0	0	203	271	306	577	103	267	27	7	259	50	-30	-0	+17	+21	+14	2.3
Career	—	MLE		—	5818	5222	1007	175	12	81	444	1540	44	16	16	193	262	277	539	85	254	26	8	243	50	-91	-0	+47	+63	+42	6.2
/ 162G	—	MLE		—	650	583	113	20	1	9	50	172	5	2	2	194	263	278	541	84	256	26	8	243	50	-30	-0	+16	+21	+14	2.1

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 AAAGwinnett Stripers · 110 PAwOBA .242 → .177 (−65)K% 39.1% → 46.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.09%	÷1.000	×1.200	—	—	46.91%
BB% (unintentional) /PA	11.82%	÷1.000	×0.690	—	×0.940	7.67%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	21.15%	÷1.000	×0.930	×0.999	×0.940	18.48%
Doubles /BIP	5.77%	÷1.000	×0.830	×0.999	×0.940	4.50%
Triples /BIP	0.00%	÷1.000	×0.970	×0.999	×0.940	0.00%
Home runs /BIP	3.85%	÷1.000	×0.700	—	×0.940	2.53%

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 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .242 → .177; ISO .095 → .064; BABIP .275 → .231. 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 AAAGwinnett Stripers · 211 PAwOBA .260 → .180 (−80)K% 31.3% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.28%	÷0.976	×1.200	—	—	38.45%
BB% (unintentional) /PA	8.53%	÷1.140	×0.690	—	×0.940	4.85%
HBP% /PA	0.95%	—	×0.940	—	×0.940	0.84%
Singles /BIP	12.40%	÷0.968	×0.930	×0.971	×0.940	10.87%
Doubles /BIP	4.96%	÷1.162	×0.830	×0.971	×0.940	3.23%
Triples /BIP	0.00%	÷0.900	×0.970	×0.971	×0.940	0.00%
Home runs /BIP	8.26%	÷0.961	×0.700	—	×0.940	5.66%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 94, 2B 132, 3B 80, K 95, BB 128 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.

Result: wOBA .260 → .180; ISO .193 → .127; BABIP .188 → .148. 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 AAAGwinnett Stripers · 297 PAwOBA .277 → .211 (−66)K% 28.6% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.62%	÷0.958	×1.200	—	—	35.84%
BB% (unintentional) /PA	17.17%	÷1.001	×0.690	—	×0.940	11.13%
HBP% /PA	0.67%	—	×0.940	—	×0.940	0.60%
Singles /BIP	22.37%	÷0.977	×0.930	×0.980	×0.940	19.63%
Doubles /BIP	2.63%	÷0.961	×0.830	×0.980	×0.940	2.09%
Triples /BIP	0.00%	÷1.150	×0.970	×0.980	×0.940	0.00%
Home runs /BIP	3.29%	÷0.968	×0.700	—	×0.940	2.24%

Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 95, 2B 92, 3B 130, K 92, BB 100 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .277 → .211; ISO .080 → .058; BABIP .253 → .218. 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 AAAColumbus Clippers · 76 PAwOBA .343 → .264 (−79)K% 18.4% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.42%	÷1.008	×1.200	—	—	21.94%
BB% (unintentional) /PA	18.42%	÷0.994	×0.690	—	×0.940	12.01%
HBP% /PA	1.32%	—	×0.940	—	×0.940	1.16%
Singles /BIP	19.15%	÷0.963	×0.930	×0.992	×0.940	17.25%
Doubles /BIP	6.38%	÷1.018	×0.830	×0.992	×0.940	4.86%
Triples /BIP	0.00%	÷0.900	×0.970	×0.992	×0.940	0.00%
Home runs /BIP	4.26%	÷1.037	×0.700	—	×0.940	2.70%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 93, 2B 104, 3B 80, K 102, BB 99 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .343 → .264; ISO .148 → .105; BABIP .267 → .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).

2022 AAAColumbus Clippers · 100 PAwOBA .308 → .252 (−56)K% 14.0% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.00%	÷1.036	×1.200	—	—	16.22%
BB% (unintentional) /PA	14.00%	÷0.930	×0.690	—	×0.942	9.78%
HBP% /PA	1.00%	—	×0.940	—	×0.942	0.89%
Singles /BIP	20.00%	÷0.941	×0.930	×0.991	×0.942	18.45%
Doubles /BIP	4.29%	÷1.040	×0.830	×0.991	×0.942	3.19%
Triples /BIP	0.00%	÷0.900	×0.970	×0.991	×0.942	0.00%
Home runs /BIP	2.86%	÷1.001	×0.700	—	×0.942	1.88%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 88, 2B 108, 3B 80, K 107, BB 86 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .308 → .252; ISO .107 → .077; BABIP .246 → .218. 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).

2019 AAAPawtucket Red Sox · 26 PAwOBA .128 → .110 (−18)K% 23.1% → 27.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.08%	÷1.002	×1.200	—	—	27.64%
BB% (unintentional) /PA	3.85%	÷0.963	×0.690	—	×0.972	2.68%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	15.79%	÷0.953	×0.930	—	×0.972	14.97%
Doubles /BIP	0.00%	÷0.896	×0.830	—	×0.972	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.972	0.00%
Home runs /BIP	0.00%	÷1.038	×0.840	—	×0.972	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, BB 93 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .128 → .110; ISO .000 → .000; BABIP .158 → .150. 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).

2016 AAAPawtucket Red Sox · 130 PAwOBA .291 → .265 (−26)K% 18.5% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.46%	÷0.979	×1.200	—	—	22.62%
BB% (unintentional) /PA	7.69%	÷1.007	×0.690	—	×1.003	5.29%
HBP% /PA	1.54%	—	×0.940	—	×1.003	1.45%
Singles /BIP	24.18%	÷0.957	×0.930	×1.003	×1.003	23.61%
Doubles /BIP	3.30%	÷0.923	×0.830	×1.003	×1.003	2.98%
Triples /BIP	1.10%	÷0.912	×0.970	×1.003	×1.003	1.18%
Home runs /BIP	2.20%	÷0.994	×0.840	—	×1.003	1.86%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 91, 2B 85, 3B 82, K 96, BB 101 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .291 → .265; ISO .096 → .087; BABIP .286 → .277. 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).

2015 AAAPawtucket Red Sox · 111 PAwOBA .305 → .268 (−37)K% 20.7% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.72%	÷0.956	×1.200	—	—	26.02%
BB% (unintentional) /PA	9.01%	÷0.996	×0.690	—	×1.018	6.36%
HBP% /PA	1.80%	—	×0.940	—	×1.018	1.72%
Singles /BIP	27.63%	÷0.989	×0.930	×1.008	×1.018	26.65%
Doubles /BIP	5.26%	÷0.867	×0.830	×1.008	×1.018	5.17%
Triples /BIP	0.00%	÷1.012	×0.970	×1.008	×1.018	0.00%
Home runs /BIP	1.32%	÷1.012	×0.840	—	×1.018	1.11%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 98, 2B 73, 3B 102, K 91, BB 99 — 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 ×1.008.

Result: wOBA .305 → .268; ISO .071 → .063; BABIP .333 → .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
#1René Riveralast yr '21 career totals — 10 seasons, 1,602 PA	2.4	1,602	42	1	221	273	354	+29	+90	11.7	11.8
/162	664	17	0	+11.9	+37.2	4.9	pk7: 12
#2Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	2.6	1,738	33	1	205	270	310	+28	+43	0.6	1.4
/162	664	13	0	+10.5	+16.3	0.2	pk7: 2
#3Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#4Jeff Torborg'64-'73 * career totals — 9 seasons, 1,525 PA	2.3	1,525	8	3	214*	271*	292*	+27	+0	0.2	0.7
/162	664	3	1	+11.8	+0.0	0.1	pk7: 1
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
#6John Boccabella'63-'74 * career totals — 8 seasons, 1,595 PA	2.4	1,595	26	3	217*	267*	343*	+8	+6	-1.3	-0.1
/162	664	11	1	+3.5	+2.7	-0.5	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
Sandy León (OGILVIE)	38	25	60	45	40	177/237/303	126	243	3	1	34%	7%	52	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Erik Kratz 2017 · MLB	37	36→44	44→60	46→45	41	187/236/303	116	231	13	4	25%	5%	51	-2.3	212/267/341	129	252	15	6	22%	5%	71	-0.8	213/269/346	133	243	17	4	20%	5%	72	-0.3
✕Alan Zinter 2006 · MLB	38	41	43→55	49→40	42	205/262/315	110	287	11	7	32%	7%	63	-1.4	214/279/364	150	295	17	7	32%	8%	80	-0.1	190/262/352	163	252	21	2	33%	9%	70	-0.4
✕Jonathan Aceves 2015 · AAA	37	40	47→50	46→30	43	208/258/334	126	250	16	4	24%	6%	66	-1.1	227/290/339	112	274	12	4	21%	7%	79	-0.2	228/295/332	104	273	11	1	20%	7%	78	-0.2
✕Tim Laker 2006 · MLB	36	40	46→45	44→45	43	204/256/326	122	250	14	4	25%	6%	63	-1.4	200/252/303	103	268	9	6	28%	6%	56	-1.9	165/206/219	55	237	0	0	29%	4%	16	-1.6
✕Hector Hurtado 2009 · AAA	38	41	41→40	43→30	37	206/247/295	90	265	9	4	26%	4%	53	-2.1	215/250/290	75	267	7	5	22%	3%	52	-2.2	218/247/264	46	270	4	0	20%	2%	40	-0.9
✕Jesus Alberto Vega 2019 · AAA	37	42	43→45	48→40	40	210/261/320	110	280	11	7	29%	5%	63	-1.3	204/254/326	122	300	14	9	35%	6%	62	-1.4	156/198/251	95	230	14	3	38%	4%	21	-1.4
✕Humberto Cota 2016 · AAA	37	38	45→50	47→30	46	195/264/307	112	246	14	4	27%	8%	63	-1.4	214/280/338	124	283	14	6	28%	8%	75	-0.5	201/268/317	116	266	13	0	28%	8%	66	-0.4
✕Bobby Wilson 2019 · MLB	36	37→47	45→50	46→40	43	194/247/310	116	242	13	3	26%	6%	56	-1.9	204/261/333	129	257	15	6	26%	7%	67	-1.1	161/213/276	115	189	18	0	27%	6%	33	-0.9
✕Drew Butera 2021 · MLB	37	41	43→40	49→40	46	206/271/320	115	267	11	6	26%	8%	68	-1.0	190/260/300	110	267	11	9	32%	7%	59	-1.6	137/214/222	85	196	9	7	34%	6%	23	-2.0
✕Mike DiFelice 2006 · MLB	37	40	48→50	42→30	45	210/270/351	141	249	16	5	23%	7%	74	-0.5	214/272/317	103	279	10	4	26%	6%	67	-1.1	208/260/284	76	277	6	0	26%	5%	54	-0.8
✕Sal Fasano 2009 · MLB	37	42	46→55	46→40	37	211/273/341	130	277	14	5	29%	4%	74	-0.6	204/257/312	108	291	11	9	32%	5%	60	-1.6	167/208/242	75	251	7	7	35%	3%	24	-1.6
✕Martín Maldonado 2023 · MLB	36	35→45	52→50	46→40	46	192/272/348	155	241	21	2	30%	9%	76	-0.4	189/251/337	148	252	20	3	33%	7%	65	-1.2	173/231/309	136	232	20	0	35%	6%	51	-0.9
✕Carlos M. Rodriguez 2019 · AAA	37	46→42	46→50	47→40	37	226/268/353	127	315	13	5	32%	5%	73	-0.6	207/261/323	116	322	12	6	37%	6%	64	-1.3	178/232/277	99	285	11	0	40%	6%	39	-1.9
✕Hector Estrada 2006 · AAA	37	43	41→40	43→40	45	209/258/302	93	246	9	5	19%	6%	58	-1.7	210/262/310	100	243	10	7	18%	6%	61	-1.5	185/232/258	73	199	8	3	12%	4%	36	-0.8
✕Corky Miller 2013 · MLB	37	41	43→50	45→40	53	202/287/308	106	230	11	5	18%	9%	72	-0.7	202/270/307	105	243	10	6	21%	7%	65	-1.2	185/260/294	110	212	10	0	18%	7%	57	-0.6
✕Jason Wood 2008 · MLB	38	46	45	45→40	43	231/281/351	120	287	13	4	24%	6%	78	-0.3	222/272/311	89	276	8	7	22%	6%	65	-1.2	212/259/266	54	261	5	4	20%	5%	47	-1.6
✕John McDonald 2013 · MLB	38	47	46→40	39→50	46	233/271/357	124	251	14	5	14%	5%	75	-0.5	210/271/310	100	243	10	7	18%	7%	65	-1.2	150/219/196	46	176	5	4	18%	6%	19	-0.9
✕Iker Franco 2019 · AAA	38	47	44→50	47→40	45	231/286/340	109	288	12	8	24%	7%	77	-0.3	210/260/333	123	270	14	9	27%	6%	66	-1.1	156/195/247	91	190	13	0	26%	5%	19	-0.9
✕Hector Paez 2016 · AAA	38	43	41→45	41→40	42	210/254/301	91	236	9	4	16%	4%	56	-1.9	214/245/297	83	246	7	6	16%	3%	51	-2.2	210/224/266	56	239	4	3	14%	1%	34	-1.0
✕Raul Chavez 2011 · MLB	38	44	41→40	44→30	44	213/251/308	96	235	9	4	14%	4%	56	-1.9	196/228/279	83	226	7	6	16%	4%	40	-3.0	165/177/206	41	192	2	0	15%	1%	2	-2.5

Sandy León

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps