Elias Díaz

C Texas Rangers

Age 36 R/R 6'1" / 223 lbs MLB HR +15%BB +5% Svc 10.361 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	33	MLBSD	351	.265/.315/.382	6	0	98	1.9
2025	34	MLBSD	283	.204/.270/.337	9	0	70	0.8
2026	35	AAAKC	35	.219/.286/.250	0	0	23	—	.188/.257/.219
2026	35	MLBTEX	237	.234/.271/.404	8	0	77	0.4
2027PROJ	36	MLBTEX	149	.222/.272/.365	4	1	76	0.1
2028PROJ	37	MLBTEX	81	.209/.258/.338	2	0	64	-0.8

Last 3 seasons WAR 3.1 · Next 2 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service10.361First FA2028

2027Ext / FA-deal$0.9M

Skills · percentileStatcast 2024-2026

Bat Spd74

Barrel%40

Avg EV34

xwOBA20

Speed10

Form.217/.266/.372 · rolling true talent (60d window) · proj .220/.269/.359

CompsJamie Burke (age 36) · Mike Matheny (age 35) · Matt Treanor (age 36)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 7676vR 73

AVG/OBP/SLG.222 / .272 / .365

PA149

HR4

K%23

BB%5

BABIP265

ISO138

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

120.220

POWER

Barrel%

406.9

Avg EV

3487.9

Bat Spd

7473.9

SPEED

Sprint

1024.4

Recent Formrolling true talent ⓘ

K%27%▼▼30% over 54 PA (60d) · proj 24%

BB%5%·6% over 54 PA (60d) · proj 5%

ISO.156▲.213 over 47 AB (60d) · proj .139

HR/BB4.3%·6.1% over 33 BBE (60d) · proj 3.8%

BABIP.269·.355 over 31 BIP (60d) · proj .266

SLASH.217/.266/.372·proj .220/.269/.359

Platoon Splits2024-2025 · 634 PA

vs LHP

vs RHP

Edge

189

445

—

wRC+

▶▶R

wOBA

265

302

▶R

ISO

097

136

▶▶R

BABIP

269

296

▶R

20.6%

23.4%

◀L

BB%

5.3%

6.5%

▶▶R

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

Status FA

MLB Debut 2017

Service 10.361 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$0.9M	+0.1	$0.4M	-$0.5M
Totals		$0.9M		$0.4M	-$0.5M

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)
2009	18	ROK	VSL Pirates	—	271	232	63	13	2	5	29	47	5	3	4	272	365	409	774	138	315	17	11	344	33	—	—	—	—	—	—
2010	19	ROK	GCL Pirates	—	157	142	31	5	1	2	10	28	3	0	2	218	284	310	594	92	254	18	6	269	12	—	—	—	—	—	—
2011	20	A	West Virginia Power	—	360	326	72	23	3	2	23	69	4	6	1	221	280	328	609	107	272	19	6	270	32	—	—	—	—	—	—
2012	21	A	West Virginia Power	—	347	313	65	14	1	3	22	51	3	2	2	208	266	288	554	80	234	15	6	248	24	—	—	—	—	—	—
2013	22	A+	Bradenton Marauders	—	220	183	51	12	2	2	31	33	1	4	4	279	386	399	785	120	327	15	14	349	75	—	—	—	—	—	—
2013	22	INTL	Bravos de Margarita	—	53	43	11	3	0	0	8	12	0	0	0	256	373	326	698	70	355	23	15	315	99	—	—	—	—	—	—
2014	23	AAA	Indianapolis Indians	—	37	33	5	1	0	0	3	6	1	0	1	152	243	182	425	30	185	16	8	209	6	—	—	—	—	—	—
2014	23	AA	Altoona Curve	—	367	326	107	20	0	6	30	51	1	3	2	328	387	445	831	117	365	14	8	363	107	—	—	—	—	—	—
2014	23	INTL	Bravos de Margarita	—	113	93	20	3	2	1	19	16	1	1	1	215	354	323	677	108	250	14	17	317	101	—	—	—	—	—	—
2015	24	AAA	Indianapolis Indians	—	363	325	88	16	4	4	29	47	2	1	4	271	334	382	716	111	301	13	8	317	76	—	—	—	—	—	—
2015	24	INTL	Bravos de Margarita	—	120	107	28	4	0	3	10	22	2	0	1	262	336	383	719	121	301	18	8	324	105	—	—	—	—	—	—
2016	25	AAA	Indianapolis Indians	—	97	94	25	3	0	0	3	17	0	1	0	266	289	298	587	32	325	18	3	267	47	—	—	—	—	—	—
2016	25	A+	Bradenton Marauders	—	28	23	9	0	0	1	4	2	0	0	1	391	481	522	1.003	130	381	7	14	433	144	—	—	—	—	—	—
2016	25	INTL	Bravos de Margarita	—	42	39	11	3	0	1	2	4	0	0	0	282	317	436	753	154	286	10	5	325	106	—	—	—	—	—	—
2017	26	MLB	Pittsburgh Pirates	—	200	188	42	14	0	1	11	38	0	1	0	223	266	314	580	90	273	19	6	261	61	-9	+0	-4	+8	+4	-0.1
2017	26	AAA	Indianapolis Indians	—	229	218	58	10	0	2	9	36	1	3	0	266	298	339	638	73	311	16	4	287	63	—	—	—	—	—	—
2018	27	MLB	Pittsburgh Pirates	—	277	252	72	12	0	10	21	40	1	0	1	286	343	452	795	167	302	14	8	350	124	+8	-0	+4	+5	+6	2.3
2019	28	MLB	Pittsburgh Pirates	—	332	303	73	14	0	2	23	56	2	0	0	241	299	307	606	66	286	17	7	275	72	-11	+0	-7	+6	+7	-0.5
2019	28	AAA	Indianapolis Indians	—	30	29	12	3	0	0	1	5	0	0	0	414	433	517	951	103	500	17	3	423	126	—	—	—	—	—	—
2020	29	MLB	Colorado Rockies	—	73	68	16	2	0	2	5	15	0	0	0	235	288	353	641	118	275	21	7	289	74	-2	+0	+1	+1	+2	0.2
2021	30	MLB	Colorado Rockies	—	371	338	83	18	1	18	30	60	2	0	0	246	311	464	775	219	249	16	8	340	104	+2	+0	+11	+7	+8	2.7
2022	31	MLB	Colorado Rockies	—	381	351	80	18	2	9	25	82	2	0	1	228	283	368	651	140	270	22	7	289	73	-12	-0	-7	+7	+8	-0.5
2023	32	MLB	Colorado Rockies	—	526	486	130	25	1	14	34	118	2	1	0	267	318	409	727	142	324	22	6	322	95	-3	+0	-4	+9	+11	1.4
2024	33	MLB	San Diego Padres	—	351	325	86	20	0	6	20	69	4	0	0	265	315	382	697	117	317	20	6	312	98	-1	+0	+6	+6	+8	1.9
2025	34	MLB	San Diego Padres	—	283	255	52	7	0	9	21	74	2	0	0	204	270	337	607	133	250	26	7	270	70	-10	+0	+7	+5	+6	0.8
2026	35	MLB	Texas Rangers	—	237	218	51	13	0	8	9	58	2	0	0	234	271	404	674	170	276	24	4	288	77	-7	+0	+0	+5	+5	0.4
2026	35	AAA	Omaha Storm Chasers	—	35	32	7	1	0	0	1	8	2	0	0	219	286	250	536	31	292	23	3	254	23	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3031	2784	685	143	4	79	199	610	17	2	2	246	300	385	686	139	286	20	7	304	92	-29	-0	+5	+59	+66	10.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	18	ROK MLE	VSL Pirates	—	271	241	40	8	1	2	20	57	5	3	4	166	244	232	477	66	196	21	7	217	33	—	—	—	—	—	—
2010	19	ROK MLE	GCL Pirates	—	157	146	22	3	1	1	6	40	3	0	2	151	200	205	405	55	193	25	4	186	12	—	—	—	—	—	—
2011	20	A MLE	West Virginia Power	—	360	334	62	16	3	1	15	92	4	6	1	186	229	260	490	75	243	26	4	215	32	—	—	—	—	—	—
2012	21	A MLE	West Virginia Power	—	347	319	57	11	1	3	16	66	3	2	2	179	225	248	473	69	201	19	5	204	24	—	—	—	—	—	—
2013	22	A+ MLE	Bradenton Marauders	—	220	192	44	11	2	1	22	47	1	4	4	229	312	323	635	94	280	21	10	279	75	—	—	—	—	—	—
2014	23	AAA MLE	Indianapolis Indians	—	37	34	5	1	0	0	2	7	1	0	1	147	216	176	393	29	170	19	5	177	6	—	—	—	—	—	—
2014	23	AA MLE	Altoona Curve	—	367	336	102	17	0	6	20	63	1	3	2	304	345	408	752	104	339	17	5	327	107	—	—	—	—	—	—
2015	24	AAA MLE	Indianapolis Indians	—	363	335	84	14	4	4	19	58	2	1	4	251	295	352	647	101	278	16	5	281	76	—	—	—	—	—	—
2016	25	AAA MLE	Indianapolis Indians	—	97	95	24	3	0	0	2	20	0	1	0	253	268	284	552	32	314	21	2	237	47	—	—	—	—	—	—
2016	25	A+ MLE	Bradenton Marauders	—	28	24	9	0	0	1	3	3	0	0	1	375	444	500	944	125	337	11	11	381	144	—	—	—	—	—	—
2017	26	MLB MLE	Pittsburgh Pirates	—	200	188	41	13	0	1	11	38	0	1	0	218	261	303	564	85	273	19	6	258	61	-9	+0	-4	+8	+4	-0.1
2017	26	AAA MLE	Indianapolis Indians	—	229	220	56	8	0	2	7	42	1	3	0	255	281	318	599	64	306	18	3	262	63	—	—	—	—	—	—
2018	27	MLB MLE	Pittsburgh Pirates	—	277	253	72	11	0	11	20	40	1	0	1	285	339	458	798	174	302	14	7	352	124	+8	-0	+4	+5	+6	2.3
2019	28	MLB MLE	Pittsburgh Pirates	—	332	303	72	13	0	2	23	56	2	0	0	238	296	300	596	63	286	17	7	274	72	-11	+0	-7	+6	+7	-0.5
2019	28	AAA MLE	Indianapolis Indians	—	30	29	11	3	0	0	1	6	0	0	0	379	400	483	883	103	447	20	3	355	126	—	—	—	—	—	—
2020	29	MLB MLE	Colorado Rockies	—	73	68	16	2	0	2	5	15	0	0	0	235	288	353	641	118	275	21	7	278	74	-2	+0	+1	+1	+2	0.2
2021	30	MLB MLE	Colorado Rockies	—	371	339	79	17	1	16	29	60	2	0	0	233	297	431	728	198	249	16	8	321	104	+2	+0	+11	+7	+8	2.7
2022	31	MLB MLE	Colorado Rockies	—	381	351	75	17	1	8	25	82	2	0	1	214	270	336	606	123	270	22	7	276	73	-12	-0	-7	+7	+8	-0.5
2023	32	MLB MLE	Colorado Rockies	—	526	486	124	24	1	12	34	118	2	1	0	255	307	383	689	128	324	22	6	309	95	-3	+0	-4	+9	+11	1.4
2024	33	MLB MLE	San Diego Padres	—	351	327	87	21	0	6	18	69	4	0	0	266	312	385	698	119	317	20	5	313	98	-1	+0	+6	+6	+8	1.9
2025	34	MLB MLE	San Diego Padres	—	283	255	52	7	0	9	21	74	2	0	0	204	270	337	607	133	250	26	7	271	70	-10	+0	+7	+5	+6	0.8
2026	35	MLB MLE	Texas Rangers	—	237	219	51	14	0	7	8	58	2	0	0	233	266	393	659	160	276	24	3	282	77	-7	+0	+0	+5	+5	0.4
2026	35	AAA MLE	Omaha Storm Chasers	—	35	32	6	1	0	0	1	10	2	0	0	188	257	219	476	31	251	29	3	202	23	—	—	—	—	—	—
2009	18	ROK MLE	VSL Pirates	—	271	241	40	8	1	2	20	57	5	3	4	166	244	232	477	66	204	21	7	217	33	—	—	—	—	—	—
2009	18	ROK RAW	VSL Pirates	—	271	232	63	13	2	5	29	47	5	3	4	272	365	409	774	138	315	17	11	344	33	—	—	—	—	—	—
2010	19	ROK MLE	GCL Pirates	—	157	146	22	3	1	1	6	40	3	0	2	151	200	205	405	55	196	25	4	186	12	—	—	—	—	—	—
2010	19	ROK RAW	GCL Pirates	—	157	142	31	5	1	2	10	28	3	0	2	218	284	310	594	92	254	18	6	269	12	—	—	—	—	—	—
2011	20	A MLE	West Virginia Power	—	360	334	62	16	3	1	15	92	4	6	1	186	229	260	490	75	251	26	4	215	32	—	—	—	—	—	—
2011	20	A RAW	West Virginia Power	—	360	326	72	23	3	2	23	69	4	6	1	221	280	328	609	107	272	19	6	270	32	—	—	—	—	—	—
2012	21	A MLE	West Virginia Power	—	347	319	57	11	1	3	16	66	3	2	2	179	225	248	473	69	211	19	5	204	24	—	—	—	—	—	—
2012	21	A RAW	West Virginia Power	—	347	313	65	14	1	3	22	51	3	2	2	208	266	288	554	80	234	15	6	248	24	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	273	238	54	13	2	2	27	58	1	4	4	227	308	324	632	97	289	21	10	279	75	—	—	—	—	—	—
2013	22	A+ RAW	2 teams	—	273	226	62	15	2	2	39	45	1	4	4	274	383	385	768	111	331	16	14	343	75	—	—	—	—	—	—
2014	23	AA MLE	3 teams	—	517	476	136	23	0	7	28	90	3	4	4	286	329	378	708	92	333	17	5	313	98	—	—	—	—	—	—
2014	23	AA RAW	3 teams	—	517	452	132	24	2	7	52	73	3	4	4	292	369	400	769	108	329	14	10	342	98	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	483	445	111	18	5	6	26	77	4	1	5	249	297	353	650	103	285	16	5	281	76	—	—	—	—	—	—
2015	24	AAA RAW	2 teams	—	483	432	116	20	4	7	39	69	4	1	5	269	335	382	717	113	301	14	8	318	76	—	—	—	—	—	—
2016	25	AAA MLE	3 teams	—	167	158	42	3	0	1	7	31	0	1	1	266	297	304	601	38	320	19	4	269	68	—	—	—	—	—	—
2016	25	AAA RAW	3 teams	—	167	156	45	6	0	2	9	23	0	1	1	288	327	365	693	77	323	14	5	309	68	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	429	408	98	22	0	3	18	80	1	4	0	240	274	316	590	76	291	19	4	260	62	—	—	—	—	—	—
2017	26	AAA RAW	2 teams	—	429	406	100	24	0	3	20	74	1	4	0	246	283	328	611	81	294	17	5	275	62	—	—	—	—	—	—
2018	27	MLB MLE	Pittsburgh Pirates	—	277	253	72	11	0	11	20	40	1	0	1	285	339	458	798	174	298	14	7	352	124	+8	-0	+4	+5	+6	2.3
2018	27	MLB RAW	Pittsburgh Pirates	—	277	252	72	12	0	10	21	40	1	0	1	286	343	452	795	167	302	14	8	350	124	+8	-0	+4	+5	+6	2.3
2019	28	MLB MLE	2 teams	—	362	332	83	16	0	2	24	62	2	0	0	250	304	316	621	66	299	17	7	281	76	-10	+0	-7	+6	+8	-0.3
2019	28	MLB RAW	2 teams	—	362	332	85	17	0	2	24	61	2	0	0	256	310	325	635	69	305	17	7	287	76	-10	+0	-7	+6	+8	-0.3
2020	29	MLB MLE	Colorado Rockies	—	73	68	16	2	0	2	5	15	0	0	0	235	288	353	641	118	275	21	7	278	74	-2	+0	+1	+1	+2	0.2
2020	29	MLB RAW	Colorado Rockies	—	73	68	16	2	0	2	5	15	0	0	0	235	288	353	641	118	275	21	7	289	74	-2	+0	+1	+1	+2	0.2
2021	30	MLB MLE	Colorado Rockies	—	371	339	79	17	1	16	29	60	2	0	0	233	297	431	728	198	239	16	8	321	104	+2	+0	+11	+7	+8	2.7
2021	30	MLB RAW	Colorado Rockies	—	371	338	83	18	1	18	30	60	2	0	0	246	311	464	775	219	249	16	8	340	104	+2	+0	+11	+7	+8	2.7
2022	31	MLB MLE	Colorado Rockies	—	381	351	75	17	1	8	25	82	2	0	1	214	270	336	606	123	254	22	7	276	73	-12	-0	-7	+7	+8	-0.5
2022	31	MLB RAW	Colorado Rockies	—	381	351	80	18	2	9	25	82	2	0	1	228	283	368	651	140	270	22	7	289	73	-12	-0	-7	+7	+8	-0.5
2023	32	MLB MLE	Colorado Rockies	—	526	486	124	24	1	12	34	118	2	1	0	255	307	383	689	128	311	22	6	309	95	-3	+0	-4	+9	+11	1.4
2023	32	MLB RAW	Colorado Rockies	—	526	486	130	25	1	14	34	118	2	1	0	267	318	409	727	142	324	22	6	322	95	-3	+0	-4	+9	+11	1.4
2024	33	MLB MLE	San Diego Padres	—	351	327	87	21	0	6	18	69	4	0	0	266	312	385	698	119	319	20	5	313	98	-1	+0	+6	+6	+8	1.9
2024	33	MLB RAW	San Diego Padres	—	351	325	86	20	0	6	20	69	4	0	0	265	315	382	697	117	317	20	6	312	98	-1	+0	+6	+6	+8	1.9
2025	34	MLB MLE	San Diego Padres	—	283	255	52	7	0	9	21	74	2	0	0	204	270	337	607	133	250	26	7	271	70	-10	+0	+7	+5	+6	0.8
2025	34	MLB RAW	San Diego Padres	—	283	255	52	7	0	9	21	74	2	0	0	204	270	337	607	133	250	26	7	270	70	-10	+0	+7	+5	+6	0.8
2026	35	MLB MLE	2 teams	—	272	251	56	14	0	7	9	68	4	0	0	223	261	363	624	139	272	25	3	272	70	-10	+0	+0	+5	+6	0.1
2026	35	MLB RAW	2 teams	—	272	250	58	14	0	8	10	66	4	0	0	232	273	384	657	152	278	24	4	284	70	-10	+0	+0	+5	+6	0.1
2009	18	ROK MLE	VSL Pirates	—	271	244	40	8	1	2	20	57	5	3	4	164	244	230	474	66	196	21	7	217	33	—	—	—	—	—	—
2010	19	ROK MLE	GCL Pirates	—	157	147	22	3	1	1	6	40	3	0	2	150	200	204	404	54	193	25	4	186	12	—	—	—	—	—	—
2011	20	A MLE	West Virginia Power	—	360	338	62	16	3	1	15	92	4	6	1	183	229	257	487	74	243	26	4	215	32	—	—	—	—	—	—
2012	21	A MLE	West Virginia Power	—	347	325	57	11	1	3	16	66	3	2	2	175	225	243	468	68	201	19	5	204	24	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	273	243	54	13	2	2	27	58	1	4	4	222	308	317	625	95	280	21	10	279	75	—	—	—	—	—	—
2014	23	AA MLE	3 teams	—	517	481	136	23	0	7	28	90	3	4	4	283	329	374	704	91	324	17	5	313	98	—	—	—	—	—	—
2015	24	AAA MLE	2 teams	—	483	450	111	18	5	6	26	77	4	1	5	247	297	349	646	102	278	16	5	281	76	—	—	—	—	—	—
2016	25	AAA MLE	3 teams	—	167	158	42	3	0	1	7	31	0	1	1	266	297	304	601	38	319	19	4	269	68	—	—	—	—	—	—
2017	26	AAA MLE	2 teams	—	429	407	98	22	0	3	18	80	1	4	0	241	274	317	591	76	291	19	4	260	62	—	—	—	—	—	—
2018	27	MLB MLE	Pittsburgh Pirates	—	277	254	72	11	0	11	20	40	1	0	1	283	339	457	796	173	302	14	7	352	124	—	—	—	—	—	—
2019	28	MLB MLE	2 teams	—	362	333	83	16	0	2	24	62	2	0	0	249	304	315	620	66	300	17	7	281	76	—	—	—	—	—	—
2020	29	MLB MLE	Colorado Rockies	—	73	68	16	2	0	2	5	15	0	0	0	235	288	353	641	118	275	21	7	278	74	—	—	—	—	—	—
2021	30	MLB MLE	Colorado Rockies	—	371	337	79	17	1	16	29	60	2	0	0	234	297	433	731	199	249	16	8	321	104	—	—	—	—	—	—
2022	31	MLB MLE	Colorado Rockies	—	381	351	75	17	1	8	25	82	2	0	1	214	270	336	606	123	270	22	7	276	73	—	—	—	—	—	—
2023	32	MLB MLE	Colorado Rockies	—	526	485	124	24	1	12	34	118	2	1	0	256	307	384	690	128	324	22	6	309	95	—	—	—	—	—	—
2024	33	MLB MLE	San Diego Padres	—	351	326	87	21	0	6	18	69	4	0	0	267	312	387	699	120	317	20	5	313	98	—	—	—	—	—	—
2025	34	MLB MLE	San Diego Padres	—	283	258	52	7	0	9	21	74	2	0	0	202	270	333	603	132	250	26	7	271	70	—	—	—	—	—	—
2026	35	MLB MLE	2 teams	—	272	257	56	14	0	7	9	68	4	0	0	218	261	354	615	136	272	25	3	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	MLB MLE	San Diego Padres	—	351	326	87	21	0	6	18	69	4	0	0	267	312	387	699	120	317	20	5	313	98	—	—	—	—	—	—
2025	34	MLB MLE	San Diego Padres	—	283	258	52	7	0	9	21	74	2	0	0	202	270	333	603	132	250	26	7	271	70	—	—	—	—	—	—
2026	35	MLB MLE	2 teams	—	272	257	56	14	0	7	9	68	4	0	0	218	261	354	615	136	272	25	3	272	70	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	TEX	100%	241	223	48	11	0	6	13	57	3	1	1	221	271	359	631	139	266	24	5	280	76	-7	-0	-1	+4	+5	0.1
▸ 2027 — real world (MLB)
2027	36	MLB CTX	TEX	100%	149	138	31	7	0	4	8	35	2	1	0	222	272	365	637	143	265	23	5	283	76	-4	+0	-0	+3	+3	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	TEX	100%	81	76	15	3	0	2	4	20	1	0	0	209	258	333	590	124	255	25	5	264	64	-3	+0	-7	+1	+2	-0.8
2028	37	MLB CTX	TEX	100%	81	76	15	3	0	2	4	20	1	0	0	209	258	338	596	128	254	25	5	266	64	-3	+0	-7	+1	+2	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3112	2860	700	146	4	81	203	630	18	2	2	245	299	384	682	139	285	20	7	303	73	-33	-0	-2	+61	+67	9.5
/ 162G	—	A+C		—	650	597	146	30	1	17	42	132	4	0	0	245	298	384	682	139	285	20	6	303	73	-7	-0	-0	+13	+14	2.0
Career	—	MLE		—	6130	5641	1311	256	16	105	360	1234	46	27	25	232	284	339	623	107	277	20	6	277	73	-37	-0	-2	+63	+71	9.7
/ 162G	—	MLE		—	650	598	139	27	2	11	38	131	5	3	3	232	284	339	623	107	277	20	6	277	73	-7	-0	-0	+13	+14	1.9

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 AAAOmaha Storm Chasers · 35 PAwOBA .247 → .202 (−45)K% 22.9% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.86%	÷1.000	×1.200	—	—	27.43%
BB% (unintentional) /PA	2.86%	÷1.000	×0.690	—	×0.940	1.85%
HBP% /PA	5.71%	—	×0.940	—	×0.940	5.05%
Singles /BIP	25.00%	÷1.000	×0.930	—	×0.940	21.86%
Doubles /BIP	4.17%	÷1.000	×0.830	—	×0.940	3.25%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.700	—	×0.940	0.00%

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 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average).

Result: wOBA .247 → .202; ISO .031 → .023; BABIP .292 → .251. 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 AAAIndianapolis Indians · 30 PAwOBA .412 → .355 (−57)K% 16.7% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.013	×1.200	—	—	19.74%
BB% (unintentional) /PA	3.33%	÷1.010	×0.690	—	×0.982	2.24%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	37.50%	÷1.026	×0.930	—	×0.982	33.40%
Doubles /BIP	12.50%	÷0.901	×0.830	—	×0.982	11.31%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.953	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, BB 102 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .412 → .355; ISO .103 → .091; BABIP .500 → .447. 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).

2017 AAAIndianapolis Indians · 229 PAwOBA .279 → .262 (−17)K% 15.7% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.72%	÷1.030	×1.200	—	—	18.32%
BB% (unintentional) /PA	3.93%	÷0.952	×0.690	—	×1.003	2.86%
HBP% /PA	0.44%	—	×0.940	—	×1.003	0.41%
Singles /BIP	25.27%	÷0.950	×0.930	×1.036	×1.003	25.72%
Doubles /BIP	5.49%	÷1.046	×0.830	×1.036	×1.003	4.53%
Triples /BIP	0.00%	÷1.150	×0.970	×1.036	×1.003	0.00%
Home runs /BIP	1.10%	÷0.850	×0.840	—	×1.003	1.09%

Factors used: league row IL. Park (home-season share, regressed): HR 70, 1B 90, 2B 109, 3B 130, K 106, BB 90 — 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 ×1.036.

Result: wOBA .279 → .262; ISO .073 → .064; BABIP .311 → .306. 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 AAAIndianapolis Indians · 97 PAwOBA .259 → .237 (−23)K% 17.5% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.53%	÷1.015	×1.200	—	—	20.73%
BB% (unintentional) /PA	3.09%	÷1.054	×0.690	—	×1.018	2.06%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	28.57%	÷0.998	×0.930	×1.033	×1.018	28.01%
Doubles /BIP	3.90%	÷1.010	×0.830	×1.033	×1.018	3.37%
Triples /BIP	0.00%	÷0.900	×0.970	×1.033	×1.018	0.00%
Home runs /BIP	0.00%	÷0.933	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, BB 111 — 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 ×1.033.

Result: wOBA .259 → .237; ISO .032 → .027; BABIP .325 → .314. 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 A+Bradenton Marauders · 28 PAwOBA .437 → .381 (−56)K% 7.1% → 10.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.14%	÷0.996	×1.420	—	—	10.18%
BB% (unintentional) /PA	14.29%	÷1.009	×0.750	—	×0.968	10.28%
HBP% /PA	0.00%	—	×0.930	—	×0.968	0.00%
Singles /BIP	38.10%	÷0.999	×0.920	—	×0.968	33.95%
Doubles /BIP	0.00%	÷1.059	×0.960	—	×0.968	0.00%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.968	0.00%
Home runs /BIP	4.76%	÷1.098	×0.880	—	×0.968	3.69%

Factors used: league row FSL. Park (home-season share, regressed): HR 120, 1B 100, 2B 112, 3B 80, K 99, BB 102 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .437 → .381; ISO .130 → .107; BABIP .381 → .337. 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 AAAIndianapolis Indians · 363 PAwOBA .313 → .281 (−32)K% 12.9% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.95%	÷0.977	×1.200	—	—	15.90%
BB% (unintentional) /PA	7.99%	÷1.077	×0.690	—	×1.033	5.29%
HBP% /PA	0.55%	—	×0.940	—	×1.033	0.53%
Singles /BIP	23.02%	÷1.044	×0.930	×1.023	×1.033	21.66%
Doubles /BIP	5.76%	÷1.050	×0.830	×1.023	×1.033	4.81%
Triples /BIP	1.44%	÷1.041	×0.970	×1.023	×1.033	1.42%
Home runs /BIP	1.44%	÷0.847	×0.840	—	×1.033	1.47%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 109, 2B 110, 3B 108, K 95, BB 115 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .313 → .281; ISO .111 → .105; BABIP .301 → .278. 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).

2014 AAAltoona Curve · 367 PAwOBA .361 → .327 (−34)K% 13.9% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.90%	÷0.986	×1.220	—	—	17.19%
BB% (unintentional) /PA	8.17%	÷1.078	×0.700	—	×1.012	5.37%
HBP% /PA	0.27%	—	×0.850	—	×1.012	0.23%
Singles /BIP	29.45%	÷1.017	×0.970	×0.987	×1.012	28.06%
Doubles /BIP	7.27%	÷1.020	×0.860	×0.987	×1.012	6.13%
Triples /BIP	0.00%	÷1.150	×0.950	×0.987	×1.012	0.00%
Home runs /BIP	2.18%	÷0.833	×0.780	—	×1.012	2.07%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 103, 2B 104, 3B 130, K 97, BB 116 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .361 → .327; ISO .117 → .107; BABIP .365 → .339. 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).

2014 AAAIndianapolis Indians · 37 PAwOBA .204 → .177 (−27)K% 16.2% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.22%	÷0.968	×1.200	—	—	20.10%
BB% (unintentional) /PA	8.11%	÷0.944	×0.690	—	×1.048	6.21%
HBP% /PA	2.70%	—	×0.940	—	×1.048	2.66%
Singles /BIP	14.81%	÷1.068	×0.930	—	×1.048	13.52%
Doubles /BIP	3.70%	÷0.932	×0.830	—	×1.048	3.46%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.048	0.00%
Home runs /BIP	0.00%	÷0.854	×0.840	—	×1.048	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .204 → .177; ISO .030 → .028; BABIP .185 → .170. 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
#1Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#2Nick Hundleylast yr '19 career totals — 12 seasons, 3,373 PA	5.1	3,373	93	15	247	299	405	+60	-31	10.3	10.8
/162	664	18	3	+11.9	-6.0	2.0	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	4.9	3,261	85	3	244	295	384	+55	+6	10.8	10.5
/162	664	17	1	+11.3	+1.2	2.2	pk7: 10
#3Andy Etchebarren'62-'78 * career totals — 12 seasons, 2,934 PA	4.4	2,934	49	13	242*	313*	383*	+52	+0	11.3	10.2
/162	664	11	3	+11.9	+0.0	2.6	pk7: 9
#4Joe Oliver'89-'01 * career totals — 12 seasons, 3,698 PA	5.6	3,698	102	13	240*	292*	399*	+61	-1	9.4	9.2
/162	664	18	2	+11.0	-0.1	1.7	pk7: 9
#5Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#6Tom Pagnozzi'87-'98 * career totals — 12 seasons, 3,142 PA	4.7	3,142	44	18	248*	295*	374*	+51	-2	6.6	7.3
/162	664	9	4	+10.7	-0.5	1.4	pk7: 8

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
Elias Díaz (OGILVIE)	36	—	—	—	—	219/269/356	137	266	4	1	24%	5%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jamie Burke 2008 · MLB	36	49→45	43→45	40→30	46	237/286/347	110	262	10	3	15%	5%	79	-0.2	225/275/317	92	264	8	5	17%	5%	68	-1.0	203/251/265	62	245	4	1	18%	5%	46	-0.6
✕Mike Matheny 2006 · MLB	35	48→52	46→45	35→30	43	237/277/370	133	273	13	2	19%	5%	81	-0.1	234/282/372	138	269	14	5	19%	5%	83	+0.1	220/260/321	101	252	10	0	17%	4%	63	-0.4
✕Matt Treanor 2012 · MLB	36	44	41→40	39→40	56	214/313/306	93	254	10	6	19%	11%	81	-0.1	219/309/339	120	270	12	8	22%	10%	86	+0.3	170/266/275	105	214	9	5	24%	10%	59	-0.3
✕John Flaherty 2005 · MLB	37	48→52	52→45	38→40	43	248/284/415	167	272	19	5	18%	4%	94	+0.9	220/270/362	142	251	16	7	19%	6%	77	-0.3	160/203/244	84	184	9	0	19%	4%	24	-1.0
✕Miguel Olivo 2014 · MLB	36	42→50	54→60	39→50	38	227/259/398	170	272	24	7	27%	4%	81	-0.1	230/270/370	140	313	16	8	31%	5%	78	-0.3	216/254/339	124	304	13	8	32%	4%	62	-0.7
✕Humberto Quintero 2015 · MLB	35	47	44→45	41→40	38	233/263/350	118	284	11	5	22%	3%	70	-0.8	225/257/325	100	280	10	7	23%	3%	63	-1.4	220/242/296	76	267	11	3	22%	2%	47	-1.3
✕Adam Rosales 2019 · MLB	36	39→49	50→55	42→45	41	206/258/357	151	260	18	5	28%	6%	72	-0.7	198/246/318	120	268	14	6	31%	5%	57	-1.8	161/200/243	83	229	11	2	34%	4%	20	-2.2
✕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
✕Francisco Valdez 2006 · AAA	37	48	45→40	40→30	43	235/291/352	116	263	13	5	16%	4%	82	+0.0	248/290/336	88	276	8	5	13%	4%	78	-0.3	260/300/341	82	286	4	1	10%	3%	79	-0.1
✕Chad Moeller 2010 · MLB	35	43	41→50	43→30	43	211/261/315	104	258	8	4	22%	5%	62	-1.4	218/275/334	116	267	10	7	21%	6%	72	-0.7	191/246/285	94	237	4	0	20%	4%	47	-0.5
✕Jonathan Aceves 2013 · AAA	35	43	47→50	42→30	42	220/269/354	135	276	15	6	26%	6%	75	-0.5	211/264/333	122	256	14	4	23%	6%	68	-1.0	228/295/332	104	273	11	1	20%	7%	78	-0.2
✕Hernando Arredondo 2014 · AAA	37	46→53	47→50	41→50	40	235/262/371	136	267	15	6	19%	3%	76	-0.4	229/267/341	112	272	12	5	20%	4%	70	-0.8	225/265/311	86	270	10	2	20%	4%	59	-0.5
✕Gary Bennett 2007 · MLB	35	46	42→40	43→40	50	223/281/323	100	253	10	4	17%	7%	72	-0.7	234/286/354	120	252	13	7	13%	6%	80	-0.1	241/277/321	80	257	7	4	9%	4%	69	-0.3
✕Said Gutierrez 2017 · AAA	37	43	42→50	38→40	41	213/250/300	87	250	11	4	20%	4%	54	-2.0	239/282/342	103	287	12	6	21%	4%	76	-0.4	271/306/350	79	317	11	0	18%	3%	84	+0.1
✕Carlos Valencia 2016 · AAA	36	39→49	46→55	41→40	40	204/238/324	120	235	15	4	22%	4%	56	-1.9	206/243/302	96	250	11	6	22%	4%	52	-2.2	198/231/266	68	240	8	3	21%	4%	38	-1.4
✕Carlos M. Rodriguez 2017 · AAA	35	40→42	42→50	41→40	38	198/251/300	102	283	10	4	33%	6%	55	-1.9	217/262/337	120	315	12	4	34%	5%	68	-1.0	211/256/327	117	310	12	1	35%	5%	60	-1.0
✕Chris Widger 2006 · MLB	35	48	47→60	39→40	49	239/295/378	139	263	14	5	16%	7%	90	+0.6	225/296/354	129	267	14	7	20%	9%	84	+0.2	167/252/229	62	211	6	0	22%	10%	41	-0.5
✕Brooks Conrad 2015 · MLB	35	39→43	55	38→50	41	212/266/391	180	271	24	3	32%	7%	82	+0.0	190/250/311	121	256	13	6	30%	6%	57	-1.8	137/201/214	77	188	7	3	30%	6%	15	-2.5
✕Lou Merloni 2007 · MLB	36	48→44	42→45	40	46	234/291/341	107	271	9	4	17%	6%	79	-0.2	215/270/303	88	250	7	5	16%	6%	63	-1.4	201/254/264	63	234	3	1	15%	6%	45	-2.0
✕Hector Hurtado 2008 · AAA	37	46	42→40	41→30	38	226/266/322	96	282	10	3	24%	3%	65	-1.2	213/251/291	78	270	7	4	23%	3%	52	-2.2	206/236/255	49	259	4	0	22%	2%	34	-1.0

Elias Díaz

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps