Thairo Estrada — OGILVIE

Thairo Estrada2B Colorado Rockies

Age 30 R/R 5'10" / 185 lbs MLB HR +30%H +12% Svc 7.000 · Ctrl thru 2026

2026 ROS PROJECTION0 act + 0 ros · stats below = ROS only

showingROS

wRC+†vL 8080vR 77

AVG/OBP/SLG.233 / .258 / .367

PA31

HR1

K%19

BB%3

BABIP290

ISO133

MLB%100%

Value2026 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 45 / POW 40

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT45

Whiff%

5610.4%

xAVG

320.236

POWER40

Barrel%

224.5

Avg EV

1086.1

Bat Spd

5471.8

EYE35

Chase%

1039.9%

SPEED55

Sprint

5827.8

Platoon Splits2024-2025 · 546 PA

vs LHP

vs RHP

Edge

133

413

—

wRC+

▶▶R

wOBA

237

278

▶R

ISO

115

126

▶R

BABIP

202

277

▶▶R

17.3%

19.1%

◀L

BB%

5.3%

2.2%

◀◀L

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext / FA-deal	$0.4M	+0.0	$0.2M	-$0.2M
Totals		$0.4M		$0.2M	-$0.2M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2013	17	ROK	GCL Yankees2	—	199	176	49	11	5	2	12	30	8	7	5	278	352	432	784	153	324	15	6	345	120	+5	-1	—	—	+4	0.9
2014	18	ROK	GCL Yankees1	—	23	22	6	2	0	0	1	4	0	0	0	273	304	364	668	91	333	17	4	299	89	-0	+0	—	—	+0	0.0
2016	20	A+	Tampa Yankees	—	351	315	92	15	1	3	29	46	3	7	5	292	357	375	732	83	332	13	8	329	109	+4	-1	—	—	+8	1.1
2016	20	A	Charleston RiverDogs	—	148	140	40	3	1	5	8	21	0	11	3	286	324	429	753	143	307	14	5	335	113	+2	+1	—	—	+3	0.7
2017	21	AA	Trenton Thunder	—	542	495	149	19	4	6	34	56	8	8	11	301	356	392	748	91	327	10	6	335	113	+8	-3	—	—	+12	1.8
2017	21	INTL	Scottsdale Scorpions	—	84	79	27	2	1	1	3	19	2	3	1	342	381	430	811	89	441	23	4	365	133	+3	+0	—	—	+2	0.5
2018	22	AAA	Scranton/Wilkes-Barre RailRiders	—	34	33	5	1	0	0	0	8	1	0	0	152	176	182	358	30	200	24	0	166	-2	-4	+0	—	—	+1	-0.3
2018	22	A+	Tampa Tarpons	—	47	45	10	2	0	0	0	9	1	0	0	222	239	267	506	44	270	19	0	224	38	-3	+0	—	—	+1	-0.3
2018	22	INTL	Glendale Desert Dogs	—	86	80	19	2	0	0	4	15	1	0	1	237	282	263	545	25	292	17	5	250	55	-5	-0	—	—	+2	-0.3
2019	23	MLB	New York Yankees	—	69	64	16	3	0	3	3	15	1	4	0	250	294	438	732	188	283	22	4	318	102	+0	+1	+1	+1	+1	0.4
2019	23	AAA	Scranton/Wilkes-Barre RailRiders	—	259	241	64	17	2	8	14	50	3	3	1	266	314	452	766	187	304	19	5	337	114	+4	+0	—	—	+6	1.0
2020	24	MLB	New York Yankees	—	52	48	8	0	0	1	1	19	3	1	0	167	231	229	460	62	250	37	2	218	33	-4	+0	-0	+0	+1	-0.3
2021	25	MLB	San Francisco Giants	—	132	121	33	4	0	7	9	23	2	1	0	273	333	479	813	207	286	17	7	359	129	+5	+0	+3	+4	+3	1.4
2021	25	AAA	Sacramento River Cats	—	233	210	70	14	1	9	20	35	3	6	4	333	399	538	937	205	367	15	9	412	165	+18	-0	—	—	+5	2.3
2022	26	MLB	San Francisco Giants	—	541	488	127	22	2	14	33	89	14	21	6	260	325	400	725	139	290	16	6	322	104	+3	+2	+2	+2	+12	2.1
2023	27	MLB	San Francisco Giants	—	530	495	134	26	2	14	22	120	11	23	7	271	316	416	732	145	331	23	4	325	106	+4	+2	+15	+2	+11	3.5
2024	28	MLB	San Francisco Giants	—	381	364	79	15	2	9	10	76	5	2	2	217	248	343	591	126	249	20	3	262	63	-17	-0	+7	+2	+8	0.0
2024	28	AAA	Sacramento River Cats	—	83	75	25	3	0	3	5	14	2	1	0	333	390	493	884	160	379	17	6	389	149	+5	+0	—	—	+2	0.7
2025	29	MLB	Colorado Rockies	—	165	154	39	9	0	3	6	26	2	1	3	253	290	370	660	117	281	16	4	290	83	-3	-1	-1	+1	+4	-0.1
2025	29	AAA	Albuquerque Isotopes	—	24	23	7	1	0	0	1	5	0	0	0	304	333	348	681	43	389	21	4	309	95	-0	+0	—	—	+1	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1870	1734	436	79	6	51	84	368	38	53	18	251	301	392	693	141	290	20	4	308	94	-13	+3	+26	+11	+41	7.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	17	ROK MLE	GCL Yankees2	—	199	181	39	8	4	2	7	43	8	7	5	215	276	337	613	122	255	22	4	250	55	-11	-1	—	—	+4	-0.7
2014	18	ROK MLE	GCL Yankees1	—	23	22	4	1	0	0	1	6	0	0	0	182	217	227	445	45	262	26	4	206	26	-2	+0	—	—	+0	-0.2
2016	20	A+ MLE	Tampa Yankees	—	351	323	86	15	1	3	21	66	3	7	5	266	317	347	664	80	320	19	6	292	84	-7	-1	—	—	+8	0.0
2016	20	A MLE	Charleston RiverDogs	—	148	143	35	2	1	4	5	28	0	11	3	245	270	357	627	112	283	19	3	281	76	-4	+1	—	—	+3	0.0
2017	21	AA MLE	Trenton Thunder	—	542	505	144	19	3	5	24	68	8	8	11	285	328	364	692	79	315	13	4	303	91	-6	-3	—	—	+12	0.3
2018	22	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	34	33	4	1	0	0	0	10	1	0	0	121	147	152	299	30	177	29	0	136	-22	-5	+0	—	—	+1	-0.4
2018	22	A+ MLE	Tampa Tarpons	—	47	45	9	2	0	0	0	13	1	0	0	200	217	244	462	44	256	28	0	199	21	-4	+0	—	—	+1	-0.3
2019	23	MLB MLE	New York Yankees	—	69	64	16	3	0	3	3	15	1	4	0	250	294	438	732	188	283	22	4	308	95	-0	+1	+1	+1	+1	0.4
2019	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	259	246	51	13	2	5	9	60	3	3	1	207	244	337	582	130	253	23	3	253	57	-13	+0	—	—	+6	-0.7
2020	24	MLB MLE	New York Yankees	—	52	48	8	0	0	1	1	19	3	1	0	167	231	229	460	62	250	37	2	213	30	-4	+0	-0	+0	+1	-0.3
2021	25	MLB MLE	San Francisco Giants	—	132	121	34	4	0	8	9	23	2	1	0	281	341	512	853	231	286	17	7	362	131	+5	+0	+3	+4	+3	1.5
2021	25	AAA MLE	Sacramento River Cats	—	233	216	63	13	1	6	14	41	3	6	4	292	343	444	788	153	339	18	6	346	120	+6	-0	—	—	+5	1.0
2022	26	MLB MLE	San Francisco Giants	—	541	488	130	23	2	15	33	89	14	21	6	266	331	414	745	148	290	16	6	327	107	+5	+2	+2	+2	+12	2.2
2023	27	MLB MLE	San Francisco Giants	—	530	495	137	27	2	15	22	120	11	23	7	277	322	430	752	154	331	23	4	329	109	+6	+2	+15	+2	+11	3.6
2024	28	MLB MLE	San Francisco Giants	—	381	364	81	15	2	10	10	76	5	2	2	223	253	357	610	135	249	20	3	266	66	-15	-0	+7	+2	+8	0.1
2024	28	AAA MLE	Sacramento River Cats	—	83	77	22	2	0	2	3	17	2	1	0	286	329	390	719	104	355	20	4	332	111	+1	+0	—	—	+2	0.3
2025	29	MLB MLE	Colorado Rockies	—	165	154	37	8	0	3	6	26	2	1	3	240	278	351	628	110	281	16	4	273	71	-6	-1	-1	+1	+4	-0.3
2025	29	AAA MLE	Albuquerque Isotopes	—	24	23	6	1	0	0	1	7	0	0	0	261	292	304	596	43	330	29	4	230	42	-2	+0	—	—	+1	-0.1
2013	17	ROK MLE	GCL Yankees2	—	199	181	39	8	4	2	7	43	8	7	5	215	276	337	613	122	270	22	4	250	55	—	—	—	—	—	—
2013	17	ROK RAW	GCL Yankees2	—	199	176	49	11	5	2	12	30	8	7	5	278	352	432	784	153	324	15	6	345	55	—	—	—	—	—	—
2014	18	ROK MLE	GCL Yankees1	—	23	22	4	1	0	0	1	6	0	0	0	182	217	227	445	45	250	26	4	206	26	—	—	—	—	—	—
2014	18	ROK RAW	GCL Yankees1	—	23	22	6	2	0	0	1	4	0	0	0	273	304	364	668	91	333	17	4	299	26	—	—	—	—	—	—
2016	20	A+ MLE	2 teams	—	499	465	122	18	2	7	27	94	3	18	8	262	307	355	662	92	314	19	5	289	82	—	—	—	—	—	—
2016	20	A+ RAW	2 teams	—	499	455	132	18	2	8	37	67	3	18	8	290	347	391	739	101	325	13	7	331	82	—	—	—	—	—	—
2017	21	AA MLE	2 teams	—	626	583	167	22	4	6	28	78	10	11	12	286	330	369	699	82	320	12	4	303	91	—	—	—	—	—	—
2017	21	AA RAW	2 teams	—	626	574	176	21	5	7	37	75	10	11	12	307	359	397	756	91	341	12	6	339	91	—	—	—	—	—	—
2018	22	INTL MLE	3 teams	—	167	162	27	6	0	0	0	46	3	0	1	167	182	204	386	37	231	28	0	173	3	—	—	—	—	—	—
2018	22	INTL RAW	3 teams	—	167	158	34	5	0	0	4	32	3	0	1	215	248	247	495	32	268	19	2	226	3	—	—	—	—	—	—
2019	23	AAA MLE	2 teams	—	328	310	67	16	2	8	12	75	4	7	1	216	255	358	613	142	259	23	4	265	65	—	—	—	—	—	—
2019	23	AAA RAW	2 teams	—	328	305	80	20	2	11	17	65	4	7	1	262	310	449	759	187	300	20	5	333	65	—	—	—	—	—	—
2020	24	MLB MLE	New York Yankees	—	52	48	8	0	0	1	1	19	3	1	0	167	231	229	460	62	250	37	2	213	30	-4	+0	-0	+0	+1	-0.3
2020	24	MLB RAW	New York Yankees	—	52	48	8	0	0	1	1	19	3	1	0	167	231	229	460	62	250	37	2	218	30	-4	+0	-0	+0	+1	-0.3
2021	25	AAA MLE	2 teams	—	365	337	97	17	1	14	23	64	5	7	4	288	342	469	811	181	320	18	6	352	124	—	—	—	—	—	—
2021	25	AAA RAW	2 teams	—	365	331	103	18	1	16	29	58	5	7	4	311	375	517	892	205	339	16	8	393	124	—	—	—	—	—	—
2022	26	MLB MLE	San Francisco Giants	—	541	488	130	23	2	15	33	89	14	21	6	266	331	414	745	148	296	16	6	327	107	+5	+2	+2	+2	+12	2.2
2022	26	MLB RAW	San Francisco Giants	—	541	488	127	22	2	14	33	89	14	21	6	260	325	400	725	139	290	16	6	322	107	+5	+2	+2	+2	+12	2.2
2023	27	MLB MLE	San Francisco Giants	—	530	495	137	27	2	15	22	120	11	23	7	277	322	430	752	154	337	23	4	329	109	+6	+2	+15	+2	+11	3.6
2023	27	MLB RAW	San Francisco Giants	—	530	495	134	26	2	14	22	120	11	23	7	271	316	416	732	145	331	23	4	325	109	+6	+2	+15	+2	+11	3.6
2024	28	MLB MLE	2 teams	—	464	441	104	18	2	12	13	93	7	3	2	236	269	367	636	132	272	20	3	278	74	-14	-0	+7	+2	+10	0.5
2024	28	MLB RAW	2 teams	—	464	439	104	18	2	12	15	90	7	3	2	237	273	369	642	132	271	19	3	285	74	-14	-0	+7	+2	+10	0.5
2025	29	MLB MLE	2 teams	—	189	177	43	9	0	3	7	33	2	1	3	243	280	345	624	102	278	17	4	268	67	-7	-1	-1	+1	+4	-0.4
2025	29	MLB RAW	2 teams	—	189	177	46	10	0	3	7	31	2	1	3	260	296	367	663	107	295	16	4	293	67	-7	-1	-1	+1	+4	-0.4
2013	17	ROK MLE	GCL Yankees2	—	199	182	39	8	4	2	7	43	8	7	5	214	276	335	611	121	255	22	4	250	55	—	—	—	—	—	—
2014	18	ROK MLE	GCL Yankees1	—	23	22	4	1	0	0	1	6	0	0	0	182	217	227	445	45	262	26	4	206	26	—	—	—	—	—	—
2016	20	A+ MLE	2 teams	—	499	466	122	18	2	7	27	94	3	18	8	262	307	354	661	92	309	19	5	289	82	—	—	—	—	—	—
2017	21	AA MLE	2 teams	—	626	583	167	22	4	6	28	78	10	11	12	286	330	369	699	82	315	12	4	303	91	—	—	—	—	—	—
2018	22	INTL MLE	3 teams	—	167	162	27	6	0	0	0	46	3	0	1	167	182	204	386	37	223	28	0	173	3	—	—	—	—	—	—
2019	23	AAA MLE	2 teams	—	328	309	67	16	2	8	12	75	4	7	1	217	255	359	614	142	259	23	4	265	65	—	—	—	—	—	—
2020	24	MLB MLE	New York Yankees	—	52	48	8	0	0	1	1	19	3	1	0	167	231	229	460	62	250	37	2	213	30	—	—	—	—	—	—
2021	25	AAA MLE	2 teams	—	365	334	97	17	1	14	23	64	5	7	4	290	342	473	816	183	320	18	6	352	124	—	—	—	—	—	—
2022	26	MLB MLE	San Francisco Giants	—	541	489	130	23	2	15	33	89	14	21	6	266	331	413	744	147	290	16	6	327	107	—	—	—	—	—	—
2023	27	MLB MLE	San Francisco Giants	—	530	492	137	27	2	15	22	120	11	23	7	278	322	433	755	154	331	23	4	329	109	—	—	—	—	—	—
2024	28	MLB MLE	2 teams	—	464	441	104	18	2	12	13	93	7	3	2	236	269	367	636	132	268	20	3	278	74	—	—	—	—	—	—
2025	29	MLB MLE	2 teams	—	189	178	43	9	0	3	7	33	2	1	3	242	280	343	622	101	287	17	4	268	67	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	27	MLB MLE	San Francisco Giants	—	530	492	137	27	2	15	22	120	11	23	7	278	322	433	755	154	331	23	4	329	109	—	—	—	—	—	—
2024	28	MLB MLE	2 teams	—	464	441	104	18	2	12	13	93	7	3	2	236	269	367	636	132	268	20	3	278	74	—	—	—	—	—	—
2025	29	MLB MLE	2 teams	—	189	178	43	9	0	3	7	33	2	1	3	242	280	343	622	101	287	17	4	268	67	—	—	—	—	—	—
▸ 2026 season
2026	30	MLB MLE	COL	100%	31	30	7	1	0	1	1	6	0	1	0	233	258	367	625	133	276	19	3	286	80	-1	+0	+0	+0	+1	0.6
▸ 2026 — real world (MLB)
2026	30	MLB CTX	COL	100%	31	30	7	1	0	1	1	6	0	1	0	233	258	367	625	133	290	19	3	292	80	-1	+0	+0	+0	+1	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	31	MLB MLE	COL	100%	342	321	76	14	1	8	13	68	5	5	1	237	277	361	639	125	273	20	4	281	77	-10	+1	+0	+1	+7	-0.0
2027	31	MLB CTX	COL	100%	342	321	80	15	1	9	13	68	5	5	1	249	289	386	675	137	288	20	4	287	77	-10	+1	+0	+1	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2212	2055	516	94	7	60	97	436	43	58	19	251	299	391	690	140	290	20	4	304	85	-22	+4	+26	+13	+48	7.0
/ 162G	—	A+C		—	650	604	152	28	2	18	29	128	13	17	6	252	301	394	695	142	290	20	4	304	85	-7	+1	+8	+4	+14	2.1
Career	—	MLE		—	4356	4060	1028	180	20	92	188	834	75	105	50	253	299	375	674	122	296	19	4	294	85	-23	+4	+26	+13	+49	7.0
/ 162G	—	MLE		—	650	606	154	27	3	14	28	124	11	16	7	254	299	378	677	124	297	19	4	294	85	-7	+1	+8	+4	+14	2.0

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
#2Juan Lagareslast yr '22 career totals — 9 seasons, 2,508 PA	3.8	2,508	31	45	250	291	360	+8	+49	7.3	7.7
/162	664	8	12	+2.1	+13.0	1.9	pk7: 8
#3Peter Bourjoslast yr '17 career totals — 8 seasons, 2,241 PA	3.4	2,241	42	66	241	298	382	-0	+38	7.4	7.5
/162	664	12	20	-0.1	+11.3	2.2	pk7: 8
#4Mike Avileslast yr '17 career totals — 10 seasons, 3,234 PA	4.9	3,234	60	78	261	295	376	+13	+4	5.8	7.2
/162	664	12	16	+2.7	+0.8	1.2	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	3.9	2,569	67	64	249	292	385	+9	+37	5.0	5.4
/162	664	17	17	+2.4	+9.6	1.3	pk7: 6
#5Leury Garcíalast yr '22 career totals — 9 seasons, 2,387 PA	3.6	2,387	34	63	253	293	351	+5	+10	3.1	4.3
/162	664	9	18	+1.4	+2.7	0.9	pk7: 6
#6Hernán Pérezlast yr '19 career totals — 6 seasons, 1,811 PA	2.7	1,811	45	69	252	281	387	-0	+12	3.7	3.7
/162	664	16	25	-0.0	+4.5	1.3	pk7: 4

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
Thairo Estrada (OGILVIE)	30	45	40	55	35	237/277/361	125	276	8	6	20%	4%	80	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Noll 2023 · MLB	29	47→50	45→50	52→45	41	232/272/361	129	273	12	7	20%	4%	77	-0.3	221/270/345	124	274	12	7	23%	5%	72	-0.7	195/243/306	111	242	11	0	24%	5%	51	-0.8
✕Adrián Sanchez 2021 · MLB	30	50→47	42→45	49→50	43	241/278/347	107	282	8	14	18%	4%	75	-0.5	240/281/342	102	297	8	11	21%	5%	75	-0.5	243/282/337	93	302	5	9	20%	5%	69	-0.4
✕Seth Mejias-Brean 2021 · MLB	30	48→53	44→45	47→45	43	236/285/352	116	292	12	7	23%	6%	79	-0.2	222/280/346	124	292	14	13	27%	7%	76	-0.4	199/259/306	107	261	13	14	28%	7%	57	-0.7
✕Yamid Haad 2008 · MLB	30	45	44→45	48→40	43	224/265/335	111	269	12	7	22%	5%	68	-1.0	215/259/309	94	277	9	5	25%	5%	59	-1.6	218/259/304	86	277	8	1	23%	5%	57	-0.7
✕Charlie Culberson 2019 · MLB	30	48→52	46→45	47→50	42	240/285/369	129	300	13	9	24%	6%	83	+0.1	246/296/401	155	315	17	9	26%	6%	95	+1.0	242/286/377	135	312	13	10	26%	5%	83	+0.0
✕Joe McEwing 2003 · MLB	30	47→55	46→45	46→50	43	233/286/366	133	276	12	12	20%	5%	84	+0.1	233/288/314	81	285	6	10	20%	7%	72	-0.7	251/284/329	77	301	7	16	19%	4%	69	-0.4
✕Tim Federowicz 2018 · MLB	30	47→50	47→50	50→40	42	233/282/363	130	300	15	7	27%	6%	81	-0.1	218/271/348	130	291	14	5	29%	7%	74	-0.6	200/253/323	123	265	14	1	29%	6%	59	-0.7
✕Julius Matos 2005 · MLB	30	48→47	46→40	48→40	45	241/288/362	121	276	15	9	19%	6%	83	+0.1	229/267/314	85	271	7	6	18%	4%	63	-1.3	227/258/289	62	270	4	3	17%	3%	52	-1.0
✕Andy Marte 2014 · AAA	30	45→49	48→50	48→40	44	232/282/370	138	274	17	7	23%	6%	83	+0.1	245/288/387	142	274	16	5	17%	6%	89	+0.5	246/287/385	139	270	16	1	16%	5%	87	+0.4
✕Tyler Saladino 2019 · MLB	30	45→47	43→45	51→55	46	222/287/329	107	284	11	16	25%	8%	75	-0.5	220/290/381	161	284	20	14	29%	8%	89	+0.5	199/274/379	180	248	24	14	30%	9%	80	-0.1
✕C.J. Hinojosa 2023 · AAA	29	48→57	45	47→45	43	238/283/367	129	287	13	8	22%	5%	82	+0.0	213/257/314	101	258	10	8	21%	5%	60	-1.6	199/239/278	80	239	8	5	20%	4%	42	-1.8
✕Christian Zazueta 2015 · AAA	30	48→55	42→45	48→60	36	236/260/336	100	286	10	10	22%	2%	66	-1.1	242/267/351	109	289	10	26	20%	2%	72	-0.7	242/265/344	102	288	9	33	19%	2%	67	-0.8
✕Jerad Head 2013 · MLB	30	44	48→50	50	40	223/278/368	144	274	16	9	25%	5%	82	-0.0	226/279/357	131	276	14	7	23%	5%	79	-0.2	221/269/345	124	265	13	2	22%	4%	68	-0.8
✕Kristopher Negrón 2016 · MLB	30	42→50	41→45	52→55	41	205/262/300	94	269	8	13	26%	6%	59	-1.6	220/275/340	120	295	12	17	28%	5%	73	-0.6	226/289/352	126	323	14	14	32%	7%	78	-0.2
✕Niko Vasquez 2019 · AAA	30	46→41	48→50	47→45	42	234/288/376	142	298	16	10	27%	6%	87	+0.4	217/280/334	117	303	13	9	31%	7%	74	-0.5	189/254/277	88	267	12	4	32%	6%	50	-0.9
✕Juniel Querecuto 2023 · AAA	30	46→56	44→45	50	42	227/266/348	121	274	11	12	22%	5%	71	-0.8	219/271/335	116	285	12	13	26%	6%	71	-0.8	205/263/309	104	271	12	13	28%	6%	58	-1.3
✕Josh Wilson 2012 · MLB	31	48→50	41→45	50	42	232/280/336	104	281	7	8	20%	4%	74	-0.5	204/251/296	92	272	7	7	27%	5%	54	-2.0	206/253/276	70	289	6	7	29%	4%	48	-1.4
✕José Molina 2005 · MLB	30	48	41→45	48→45	41	235/274/335	101	293	8	9	23%	5%	71	-0.8	236/279/355	119	285	12	7	21%	5%	78	-0.3	242/303/374	132	290	16	6	22%	7%	90	+0.2
✕Matt Kata 2008 · MLB	30	48→47	44→45	48→50	42	236/273/359	123	268	10	8	17%	4%	76	-0.4	219/255/315	96	251	8	14	16%	3%	59	-1.7	226/273/326	100	257	9	3	16%	3%	68	-0.8
✕Corey Smith 2012 · AAA	30	43→47	44→50	49→50	40	217/258/335	117	277	12	8	26%	5%	65	-1.2	226/271/363	137	287	15	7	26%	5%	78	-0.3	227/273/384	157	278	18	4	25%	5%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps