Travis d'Arnaud

C Los Angeles Angels

Age 38 R/R 6'0" / 210 lbs MLB K +5%HR +4% Svc 13.256 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	35	MLBATL	341	.238/.306/.436	15	1	106	2.3
2025	36	MLBLAA	231	.197/.257/.343	6	0	69	0.1
2026	37	MLBLAA	84	.158/.238/.237	1	0	39	-0.2
2027PROJ	38	MLBLAA	95	.218/.283/.385	3	1	87	0.2
2028PROJ	39	MLBLAA	80	.207/.270/.358	2	0	76	-0.8

Last 3 seasons WAR 2.2 · Next 2 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service13.256First FA2028Options4

2027Ext / FA-deal$1M

Skills · percentileStatcast 2024-2026

Barrel%66

Bat Spd55

Avg EV47

xwOBA38

Speed10

CompsMiguel Olivo (age 37) · John Flaherty (age 37) · José Hernández (age 37)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9187vR 75

AVG/OBP/SLG.218 / .283 / .385

PA95

HR3

K%27

BB%6

BABIP268

ISO149

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

100.209

POWER

Barrel%

6610.6

Avg EV

4788.9

Bat Spd

5571.9

SPEED

Sprint

1024.9

Platoon Splits2024-2025 · 572 PA

vs LHP

vs RHP

Edge

125

447

—

wRC+

115

◀◀L

wOBA

339

289

◀L

ISO

280

150

◀◀L

BABIP

229

288

▶▶R

28.0%

28.6%

—

BB%

6.4%

6.5%

—

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

Status FA

MLB Debut 2013

Service 13.256 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	+0.2	$0.8M	-$0.3M
Totals		$1M		$0.8M	-$0.3M

Options · projected decision
2027	CLUB OPT	$1.1M / $0.0M buyout	DECLINE
2028	CLUB OPT	$8.0M / $0.0M buyout	DECLINE
2029	CLUB OPT	$1.1M / $0.0M buyout	DECLINE
2030	CLUB OPT	$8.0M / $0.0M buyout	DECLINE

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 Phillies	—	151	141	34	3	0	4	4	23	4	4	2	241	282	348	629	106	259	15	3	280	28	—	—	—	—	—	—
2008	19	A	Lakewood BlueClaws	—	70	64	19	5	0	2	5	10	1	0	0	297	357	469	826	172	327	14	7	367	88	—	—	—	—	—	—
2009	20	A	Lakewood BlueClaws	—	540	482	123	38	1	13	41	75	8	8	4	255	324	419	743	164	273	14	8	326	69	—	—	—	—	—	—
2010	21	A+	Dunedin Blue Jays	—	292	263	68	20	1	6	20	63	4	3	1	259	321	411	731	152	312	22	7	321	68	—	—	—	—	—	—
2011	22	AA	New Hampshire Fisher Cats	—	466	424	132	33	1	21	33	100	8	4	2	311	372	542	914	231	365	21	7	400	118	—	—	—	—	—	—
2012	23	AAA	Las Vegas 51s	—	303	279	93	21	2	16	19	59	3	1	1	333	382	595	977	262	374	19	6	422	117	—	—	—	—	—	—
2013	24	MLB	New York Mets	—	112	99	20	3	0	1	12	21	0	0	0	202	288	263	551	61	244	19	11	257	64	-5	+0	+6	+4	+2	0.8
2013	24	AAA	Las Vegas 51s	—	78	56	17	8	0	2	21	12	0	0	0	304	494	554	1.047	250	349	15	27	454	141	—	—	—	—	—	—
2013	24	AA	Binghamton Mets	—	30	27	6	2	1	1	3	9	0	0	0	222	300	481	781	259	294	30	10	339	76	—	—	—	—	—	—
2013	24	ROK	GCL Mets	—	23	22	7	3	0	0	1	2	0	0	0	318	348	455	802	136	350	9	4	355	51	—	—	—	—	—	—
2014	25	MLB	New York Mets	—	421	385	93	22	3	13	32	64	2	1	0	242	303	416	719	174	259	15	8	318	101	+0	+0	+18	+9	+9	3.7
2014	25	AAA	Las Vegas 51s	—	59	55	24	8	0	6	3	5	1	0	0	436	475	909	1.384	473	409	8	5	587	211	—	—	—	—	—	—
2015	26	MLB	New York Mets	—	268	239	64	14	1	12	23	49	4	0	0	268	342	485	827	218	289	18	9	362	136	+12	+0	+14	+5	+6	3.8
2015	26	AA	Binghamton Mets	—	20	20	6	1	0	0	0	2	0	0	0	300	300	350	650	50	333	10	0	290	55	—	—	—	—	—	—
2015	26	A+	St. Lucie Mets	—	18	16	6	0	0	0	2	2	0	0	0	375	444	375	819		429	11	11	379	88	—	—	—	—	—	—
2016	27	MLB	New York Mets	—	276	251	62	7	0	4	19	50	3	0	0	247	308	323	630	76	293	18	7	286	82	-6	+0	+11	+6	+6	1.7
2016	27	A+	St. Lucie Mets	—	38	29	9	2	0	0	9	5	0	1	0	310	474	379	853	69	375	13	24	400	105	—	—	—	—	—	—
2017	28	MLB	New York Mets	—	376	348	85	19	1	16	23	59	2	0	0	244	295	443	737	198	250	16	6	322	105	+2	+0	+7	+7	+8	2.5
2018	29	MLB	New York Mets	—	16	15	3	0	0	1	1	5	0	0	0	200	250	400	650	200	222	31	6	287	82	-0	+0	+1	+0	+0	0.1
2019	30	MLB	Tampa Bay Rays	—	391	351	88	16	0	16	32	85	2	0	1	251	317	433	750	182	281	22	8	328	109	+4	-0	+5	+7	+8	2.5
2020	31	MLB	Atlanta Braves	—	184	165	53	8	0	9	16	50	2	1	0	321	388	533	921	212	411	27	9	403	159	+13	+0	+5	+3	+4	2.6
2021	32	MLB	Atlanta Braves	—	229	209	46	14	0	7	17	53	2	0	0	220	285	388	673	167	260	23	7	299	89	-3	+0	+8	+4	+5	1.5
2021	32	AAA	Gwinnett Stripers	—	19	17	4	0	0	0	2	4	0	0	0	235	316	235	551		308	21	11	264	26	—	—	—	—	—	—
2022	33	MLB	Atlanta Braves	—	426	396	106	25	1	18	19	90	11	0	0	268	319	472	791	205	306	21	4	349	122	+11	+0	+15	+8	+9	4.4
2023	34	MLB	Atlanta Braves	—	292	267	60	13	0	11	21	67	3	0	0	225	289	397	686	172	258	23	7	305	92	-3	+0	+5	+5	+6	1.4
2024	35	MLB	Atlanta Braves	—	341	307	73	16	0	15	24	89	6	1	0	238	306	436	742	199	280	26	7	325	106	+3	+0	+6	+6	+7	2.3
2025	36	MLB	Los Angeles Angels	—	231	213	42	13	0	6	13	74	4	0	0	197	257	343	599	146	269	32	6	268	69	-8	+0	+1	+4	+5	0.1
2026	37	MLB	Los Angeles Angels	—	84	76	12	3	0	1	6	24	2	0	0	158	238	237	475	79	216	29	7	224	39	-6	+0	+0	+2	+2	-0.2
2026	37	AAA	Salt Lake Bees	—	19	18	5	1	0	0	1	7	0	0	0	278	316	333	649	56	455	37	5	295	32	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3647	3321	807	173	6	130	258	780	43	3	1	243	306	416	722	173	278	21	7	319	102	+10	+0	+102	+71	+79	26.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	18	ROK MLE	GCL Phillies	—	151	142	26	2	0	3	3	33	4	4	2	183	221	261	482	77	209	22	2	210	28	—	—	—	—	—	—
2008	19	A MLE	Lakewood BlueClaws	—	70	66	17	4	0	2	3	13	1	0	0	258	300	409	709	152	295	19	4	299	88	—	—	—	—	—	—
2009	20	A MLE	Lakewood BlueClaws	—	540	496	108	31	1	11	27	100	8	8	4	218	269	351	620	133	242	19	5	270	69	—	—	—	—	—	—
2010	21	A+ MLE	Dunedin Blue Jays	—	292	268	59	17	1	5	15	89	4	3	1	220	272	347	619	127	290	30	5	269	68	—	—	—	—	—	—
2011	22	AA MLE	New Hampshire Fisher Cats	—	466	436	123	30	1	16	21	119	8	4	2	282	327	466	792	183	354	26	5	342	118	—	—	—	—	—	—
2012	23	AAA MLE	Las Vegas 51s	—	303	284	80	16	2	12	14	76	3	1	1	282	322	479	801	197	340	25	5	341	117	—	—	—	—	—	—
2013	24	MLB MLE	New York Mets	—	112	99	20	3	0	1	12	21	0	0	0	202	288	263	551	61	244	19	11	262	64	-5	+0	+6	+4	+2	0.8
2013	24	AAA MLE	Las Vegas 51s	—	78	63	16	7	0	2	14	16	0	0	0	254	390	460	850	206	302	21	18	376	141	—	—	—	—	—	—
2013	24	AA MLE	Binghamton Mets	—	30	28	6	2	1	1	2	11	0	0	0	214	267	464	731	250	284	37	7	280	76	—	—	—	—	—	—
2013	24	ROK MLE	GCL Mets	—	23	22	5	2	0	0	1	3	0	0	0	227	261	318	579	91	260	13	4	244	51	—	—	—	—	—	—
2014	25	MLB MLE	New York Mets	—	421	390	95	23	3	13	27	64	2	1	0	244	296	418	714	174	259	15	6	317	101	+0	+0	+18	+9	+9	3.7
2014	25	AAA MLE	Las Vegas 51s	—	59	56	20	6	0	5	2	7	1	0	0	357	390	732	1.122	375	351	12	3	480	211	—	—	—	—	—	—
2015	26	MLB MLE	New York Mets	—	268	239	66	15	1	12	23	49	4	0	0	276	350	498	848	222	289	18	9	370	136	+12	+0	+14	+5	+6	3.8
2015	26	AA MLE	Binghamton Mets	—	20	20	6	1	0	0	0	2	0	0	0	300	300	350	650	50	304	10	0	249	55	—	—	—	—	—	—
2015	26	A+ MLE	St. Lucie Mets	—	18	17	5	0	0	0	1	3	0	0	0	294	333	294	627		364	17	6	298	88	—	—	—	—	—	—
2016	27	MLB MLE	New York Mets	—	276	252	63	7	0	4	18	50	3	0	0	250	308	325	633	75	293	18	7	290	82	-6	+0	+11	+6	+6	1.7
2016	27	A+ MLE	St. Lucie Mets	—	38	32	8	2	0	0	6	7	0	1	0	250	368	312	681	62	339	18	16	323	105	—	—	—	—	—	—
2017	28	MLB MLE	New York Mets	—	376	351	87	20	1	16	20	59	2	0	0	248	292	447	740	199	250	16	5	324	105	+2	+0	+7	+7	+8	2.5
2018	29	MLB MLE	New York Mets	—	16	15	3	0	0	1	1	5	0	0	0	200	250	400	650	200	222	31	6	290	82	-0	+0	+1	+0	+0	0.1
2019	30	MLB MLE	Tampa Bay Rays	—	391	351	87	16	0	16	32	85	2	0	1	248	314	430	744	182	281	22	8	329	109	+4	-0	+5	+7	+8	2.5
2020	31	MLB MLE	Atlanta Braves	—	184	165	53	8	0	9	16	50	2	1	0	321	388	533	921	212	411	27	9	403	159	+13	+0	+5	+3	+4	2.6
2021	32	MLB MLE	Atlanta Braves	—	229	209	46	14	0	7	17	53	2	0	0	220	285	388	673	167	260	23	7	299	89	-3	+0	+8	+4	+5	1.5
2021	32	AAA MLE	Gwinnett Stripers	—	19	18	3	0	0	0	1	5	0	0	0	167	211	167	377		269	26	5	207	26	—	—	—	—	—	—
2022	33	MLB MLE	Atlanta Braves	—	426	396	106	25	1	18	19	90	11	0	0	268	319	472	791	205	306	21	4	349	122	+11	+0	+15	+8	+9	4.4
2023	34	MLB MLE	Atlanta Braves	—	292	267	60	13	0	11	21	67	3	0	0	225	289	397	686	172	258	23	7	305	92	-3	+0	+5	+5	+6	1.4
2024	35	MLB MLE	Atlanta Braves	—	341	307	73	16	0	15	24	89	6	1	0	238	306	436	742	199	280	26	7	325	106	+3	+0	+6	+6	+7	2.3
2025	36	MLB MLE	Los Angeles Angels	—	231	213	43	14	0	6	13	74	4	0	0	202	261	352	613	150	269	32	6	270	69	-8	+0	+1	+4	+5	0.1
2026	37	MLB MLE	Los Angeles Angels	—	84	76	12	3	0	1	6	24	2	0	0	158	238	237	475	79	216	29	7	226	39	-6	+0	+0	+2	+2	-0.2
2026	37	AAA MLE	Salt Lake Bees	—	19	18	4	1	0	0	1	8	0	0	0	222	263	278	541	56	389	42	5	216	32	—	—	—	—	—	—
2007	18	ROK MLE	GCL Phillies	—	151	142	26	2	0	3	3	33	4	4	2	183	221	261	482	77	213	22	2	210	28	—	—	—	—	—	—
2007	18	ROK RAW	GCL Phillies	—	151	141	34	3	0	4	4	23	4	4	2	241	282	348	629	106	259	15	3	280	28	—	—	—	—	—	—
2008	19	A MLE	Lakewood BlueClaws	—	70	66	17	4	0	2	3	13	1	0	0	258	300	409	709	152	294	19	4	299	88	—	—	—	—	—	—
2008	19	A RAW	Lakewood BlueClaws	—	70	64	19	5	0	2	5	10	1	0	0	297	357	469	826	172	327	14	7	367	88	—	—	—	—	—	—
2009	20	A MLE	Lakewood BlueClaws	—	540	496	108	31	1	11	27	100	8	8	4	218	269	351	620	133	246	19	5	270	69	—	—	—	—	—	—
2009	20	A RAW	Lakewood BlueClaws	—	540	482	123	38	1	13	41	75	8	8	4	255	324	419	743	164	273	14	8	326	69	—	—	—	—	—	—
2010	21	A+ MLE	Dunedin Blue Jays	—	292	268	59	17	1	5	15	89	4	3	1	220	272	347	619	127	302	30	5	269	68	—	—	—	—	—	—
2010	21	A+ RAW	Dunedin Blue Jays	—	292	263	68	20	1	6	20	63	4	3	1	259	321	411	731	152	312	22	7	321	68	—	—	—	—	—	—
2011	22	AA MLE	New Hampshire Fisher Cats	—	466	436	123	30	1	16	21	119	8	4	2	282	327	466	792	183	354	26	5	342	118	—	—	—	—	—	—
2011	22	AA RAW	New Hampshire Fisher Cats	—	466	424	132	33	1	21	33	100	8	4	2	311	372	542	914	231	365	21	7	400	118	—	—	—	—	—	—
2012	23	AAA MLE	Las Vegas 51s	—	303	284	80	16	2	12	14	76	3	1	1	282	322	479	801	197	343	25	5	341	117	—	—	—	—	—	—
2012	23	AAA RAW	Las Vegas 51s	—	303	279	93	21	2	16	19	59	3	1	1	333	382	595	977	262	374	19	6	422	117	—	—	—	—	—	—
2013	24	MLB MLE	4 teams	—	243	212	46	14	1	3	29	51	0	0	0	217	311	335	646	118	269	21	12	299	89	-3	+0	+6	+4	+5	1.3
2013	24	MLB RAW	4 teams	—	243	204	50	16	1	4	37	44	0	0	0	245	361	392	753	147	291	18	15	340	89	-3	+0	+6	+4	+5	1.3
2014	25	MLB MLE	2 teams	—	480	446	117	30	3	18	29	71	3	1	0	262	312	464	776	202	277	15	6	337	114	+8	+0	+18	+9	+10	4.6
2014	25	MLB RAW	2 teams	—	480	440	117	30	3	19	35	69	3	1	0	266	324	477	802	211	278	14	7	351	114	+8	+0	+18	+9	+10	4.6
2015	26	MLB MLE	3 teams	—	306	276	76	16	1	12	24	54	4	0	0	275	342	471	813	196	302	18	8	358	128	+10	+0	+14	+5	+7	3.7
2015	26	MLB RAW	3 teams	—	306	275	76	15	1	12	25	53	4	0	0	276	345	469	814	193	302	17	8	358	128	+10	+0	+14	+5	+7	3.7
2016	27	MLB MLE	2 teams	—	314	284	72	9	0	4	24	57	3	1	0	254	318	327	646	74	304	18	8	294	85	-6	+0	+11	+6	+7	1.9
2016	27	MLB RAW	2 teams	—	314	280	71	9	0	4	28	55	3	1	0	254	328	329	657	75	302	18	9	300	85	-6	+0	+11	+6	+7	1.9
2017	28	MLB MLE	New York Mets	—	376	351	87	20	1	16	20	59	2	0	0	248	292	447	740	199	254	16	5	324	105	+2	+0	+7	+7	+8	2.5
2017	28	MLB RAW	New York Mets	—	376	348	85	19	1	16	23	59	2	0	0	244	295	443	737	198	250	16	6	322	105	+2	+0	+7	+7	+8	2.5
2018	29	MLB MLE	New York Mets	—	16	15	3	0	0	1	1	5	0	0	0	200	250	400	650	200	222	31	6	290	82	-0	+0	+1	+0	+0	0.1
2018	29	MLB RAW	New York Mets	—	16	15	3	0	0	1	1	5	0	0	0	200	250	400	650	200	222	31	6	287	82	-0	+0	+1	+0	+0	0.1
2019	30	MLB MLE	Tampa Bay Rays	—	391	351	87	16	0	16	32	85	2	0	1	248	314	430	744	182	277	22	8	329	109	+4	-0	+5	+7	+8	2.5
2019	30	MLB RAW	Tampa Bay Rays	—	391	351	88	16	0	16	32	85	2	0	1	251	317	433	750	182	281	22	8	328	109	+4	-0	+5	+7	+8	2.5
2020	31	MLB MLE	Atlanta Braves	—	184	165	53	8	0	9	16	50	2	1	0	321	388	533	921	212	411	27	9	403	159	+13	+0	+5	+3	+4	2.6
2020	31	MLB RAW	Atlanta Braves	—	184	165	53	8	0	9	16	50	2	1	0	321	388	533	921	212	411	27	9	403	159	+13	+0	+5	+3	+4	2.6
2021	32	MLB MLE	2 teams	—	248	227	49	14	0	7	18	58	2	0	0	216	279	370	649	154	258	23	7	292	84	-5	+0	+8	+4	+5	1.3
2021	32	MLB RAW	2 teams	—	248	226	50	14	0	7	19	57	2	0	0	221	287	376	664	155	264	23	8	296	84	-5	+0	+8	+4	+5	1.3
2022	33	MLB MLE	Atlanta Braves	—	426	396	106	25	1	18	19	90	11	0	0	268	319	472	791	205	306	21	4	349	122	+11	+0	+15	+8	+9	4.4
2022	33	MLB RAW	Atlanta Braves	—	426	396	106	25	1	18	19	90	11	0	0	268	319	472	791	205	306	21	4	349	122	+11	+0	+15	+8	+9	4.4
2023	34	MLB MLE	Atlanta Braves	—	292	267	60	13	0	11	21	67	3	0	0	225	289	397	686	172	258	23	7	305	92	-3	+0	+5	+5	+6	1.4
2023	34	MLB RAW	Atlanta Braves	—	292	267	60	13	0	11	21	67	3	0	0	225	289	397	686	172	258	23	7	305	92	-3	+0	+5	+5	+6	1.4
2024	35	MLB MLE	Atlanta Braves	—	341	307	73	16	0	15	24	89	6	1	0	238	306	436	742	199	280	26	7	325	106	+3	+0	+6	+6	+7	2.3
2024	35	MLB RAW	Atlanta Braves	—	341	307	73	16	0	15	24	89	6	1	0	238	306	436	742	199	280	26	7	325	106	+3	+0	+6	+6	+7	2.3
2025	36	MLB MLE	Los Angeles Angels	—	231	213	43	14	0	6	13	74	4	0	0	202	261	352	613	150	276	32	6	270	69	-8	+0	+1	+4	+5	0.1
2025	36	MLB RAW	Los Angeles Angels	—	231	213	42	13	0	6	13	74	4	0	0	197	257	343	599	146	269	32	6	268	69	-8	+0	+1	+4	+5	0.1
2026	37	MLB MLE	2 teams	—	103	94	16	4	0	1	7	32	2	0	0	170	243	245	487	74	246	31	7	224	38	-8	+0	+0	+2	+2	-0.4
2026	37	MLB RAW	2 teams	—	103	94	17	4	0	1	7	31	2	0	0	181	252	255	508	74	258	30	7	237	38	-8	+0	+0	+2	+2	-0.4
2007	18	ROK MLE	GCL Phillies	—	151	143	26	2	0	3	3	33	4	4	2	182	221	259	480	77	209	22	2	210	28	—	—	—	—	—	—
2008	19	A MLE	Lakewood BlueClaws	—	70	66	17	4	0	2	3	13	1	0	0	258	300	409	709	152	295	19	4	299	88	—	—	—	—	—	—
2009	20	A MLE	Lakewood BlueClaws	—	540	500	108	31	1	11	27	100	8	8	4	216	269	348	617	132	242	19	5	270	69	—	—	—	—	—	—
2010	21	A+ MLE	Dunedin Blue Jays	—	292	271	59	17	1	5	15	89	4	3	1	218	272	343	615	125	290	30	5	269	68	—	—	—	—	—	—
2011	22	AA MLE	New Hampshire Fisher Cats	—	466	434	123	30	1	16	21	119	8	4	2	283	327	468	795	184	354	26	5	342	118	—	—	—	—	—	—
2012	23	AAA MLE	Las Vegas 51s	—	303	283	80	16	2	12	14	76	3	1	1	283	322	481	803	198	340	25	5	341	117	—	—	—	—	—	—
2013	24	MLB MLE	4 teams	—	243	212	46	14	1	3	29	51	0	0	0	217	311	335	646	118	269	21	12	299	89	—	—	—	—	—	—
2014	25	MLB MLE	2 teams	—	480	445	117	30	3	18	29	71	3	1	0	263	312	465	777	202	270	15	6	337	114	—	—	—	—	—	—
2015	26	MLB MLE	3 teams	—	306	275	76	16	1	12	24	54	4	0	0	276	342	473	815	196	294	18	8	358	128	—	—	—	—	—	—
2016	27	MLB MLE	2 teams	—	314	284	72	9	0	4	24	57	3	1	0	254	318	327	646	74	299	18	8	294	85	—	—	—	—	—	—
2017	28	MLB MLE	New York Mets	—	376	351	87	20	1	16	20	59	2	0	0	248	292	447	740	199	250	16	5	324	105	—	—	—	—	—	—
2018	29	MLB MLE	New York Mets	—	16	15	3	0	0	1	1	5	0	0	0	200	250	400	650	200	222	31	6	290	82	—	—	—	—	—	—
2019	30	MLB MLE	Tampa Bay Rays	—	391	354	87	16	0	16	32	85	2	0	1	246	314	427	741	181	281	22	8	329	109	—	—	—	—	—	—
2020	31	MLB MLE	Atlanta Braves	—	184	164	53	8	0	9	16	50	2	1	0	323	388	537	925	213	411	27	9	403	159	—	—	—	—	—	—
2021	32	MLB MLE	2 teams	—	248	226	49	14	0	7	18	58	2	0	0	217	279	372	651	155	261	23	7	292	84	—	—	—	—	—	—
2022	33	MLB MLE	Atlanta Braves	—	426	393	106	25	1	18	19	90	11	0	0	270	319	476	795	206	306	21	4	349	122	—	—	—	—	—	—
2023	34	MLB MLE	Atlanta Braves	—	292	266	60	13	0	11	21	67	3	0	0	226	289	398	687	173	258	23	7	305	92	—	—	—	—	—	—
2024	35	MLB MLE	Atlanta Braves	—	341	308	73	16	0	15	24	89	6	1	0	237	306	435	741	198	280	26	7	325	106	—	—	—	—	—	—
2025	36	MLB MLE	Los Angeles Angels	—	231	212	43	14	0	6	13	74	4	0	0	203	261	354	615	151	269	32	6	270	69	—	—	—	—	—	—
2026	37	MLB MLE	2 teams	—	103	93	16	4	0	1	7	32	2	0	0	172	243	247	490	75	248	31	7	224	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	35	MLB MLE	Atlanta Braves	—	341	308	73	16	0	15	24	89	6	1	0	237	306	435	741	198	280	26	7	325	106	—	—	—	—	—	—
2025	36	MLB MLE	Los Angeles Angels	—	231	212	43	14	0	6	13	74	4	0	0	203	261	354	615	151	269	32	6	270	69	—	—	—	—	—	—
2026	37	MLB MLE	2 teams	—	103	93	16	4	0	1	7	32	2	0	0	172	243	247	490	75	248	31	7	224	38	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	38	MLB MLE	LAA	100%	153	140	30	7	0	5	10	42	2	1	0	219	284	386	670	167	271	27	7	297	87	-2	+0	-1	+3	+3	0.2
▸ 2027 — real world (MLB)
2027	38	MLB CTX	LAA	100%	95	87	18	4	0	3	6	26	2	1	0	218	283	385	668	167	268	27	6	296	87	-1	+0	-0	+2	+2	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	39	MLB MLE	LAA	100%	80	74	14	3	0	2	5	22	1	0	0	208	271	359	630	151	259	28	6	281	76	-2	+0	-9	+1	+2	-0.8
2028	39	MLB CTX	LAA	100%	80	74	14	3	0	2	5	22	1	0	0	207	270	358	628	151	257	28	6	280	76	-2	+0	-9	+1	+2	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3727	3395	821	176	6	132	263	802	44	3	1	242	305	414	719	172	277	22	7	318	98	+8	+0	+93	+72	+81	25.9
/ 162G	—	A+C		—	650	592	143	31	1	23	46	140	8	1	0	242	305	414	719	172	277	22	7	318	98	+1	+0	+16	+13	+14	4.5
Career	—	MLE		—	5948	5457	1333	306	12	191	371	1320	75	25	11	244	301	410	711	165	286	22	6	313	98	+6	+0	+93	+74	+83	26.1
/ 162G	—	MLE		—	650	596	145	33	1	21	41	144	8	3	1	243	301	408	708	164	284	22	6	313	98	+1	+0	+16	+13	+14	4.4

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 AAASalt Lake Bees · 19 PAwOBA .287 → .216 (−71)K% 36.8% → 44.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.84%	÷1.000	×1.200	—	—	44.21%
BB% (unintentional) /PA	5.26%	÷1.000	×0.690	—	×0.940	3.41%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	36.36%	÷1.000	×0.930	—	×0.940	31.79%
Doubles /BIP	9.09%	÷1.000	×0.830	—	×0.940	7.09%
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 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average).

Result: wOBA .287 → .216; ISO .056 → .039; BABIP .455 → .389. 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).

2021 AAAGwinnett Stripers · 19 PAwOBA .258 → .207 (−51)K% 21.1% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.975	×1.200	—	—	25.90%
BB% (unintentional) /PA	10.53%	÷1.014	×0.690	—	×0.952	6.82%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	30.77%	÷1.011	×0.930	—	×0.952	26.95%
Doubles /BIP	0.00%	÷1.039	×0.830	—	×0.952	0.00%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.952	0.00%
Home runs /BIP	0.00%	÷1.001	×0.700	—	×0.952	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 102, 2B 108, 3B 130, K 95, BB 103 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .258 → .207; ISO .000 → .000; BABIP .308 → .269. 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+St. Lucie Mets · 38 PAwOBA .391 → .323 (−68)K% 13.2% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.16%	÷0.959	×1.420	—	—	19.49%
BB% (unintentional) /PA	23.68%	÷1.032	×0.750	—	×0.958	16.49%
HBP% /PA	0.00%	—	×0.930	—	×0.958	0.00%
Singles /BIP	29.17%	÷0.994	×0.920	—	×0.958	25.87%
Doubles /BIP	8.33%	÷0.956	×0.960	—	×0.958	8.02%
Triples /BIP	0.00%	÷1.017	×0.810	—	×0.958	0.00%
Home runs /BIP	0.00%	÷0.943	×0.880	—	×0.958	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 99, 2B 91, 3B 103, K 92, BB 106 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .391 → .323; ISO .069 → .067; BABIP .375 → .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).

2015 AABinghamton Mets · 20 PAwOBA .282 → .249 (−34)K% 10.0% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.974	×1.220	—	—	12.53%
BB% (unintentional) /PA	0.00%	÷0.988	×0.700	—	×0.988	0.00%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	27.78%	÷1.030	×0.970	—	×0.988	25.86%
Doubles /BIP	5.56%	÷1.034	×0.860	—	×0.988	4.56%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.088	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 118, 1B 106, 2B 107, 3B 80, K 95, BB 98 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .282 → .249; ISO .050 → .040; BABIP .333 → .304. 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 A+St. Lucie Mets · 18 PAwOBA .370 → .298 (−72)K% 11.1% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.992	×1.420	—	—	15.91%
BB% (unintentional) /PA	11.11%	÷1.023	×0.750	—	×0.968	7.89%
HBP% /PA	0.00%	—	×0.930	—	×0.968	0.00%
Singles /BIP	42.86%	÷1.049	×0.920	—	×0.968	36.37%
Doubles /BIP	0.00%	÷1.055	×0.960	—	×0.968	0.00%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.968	0.00%
Home runs /BIP	0.00%	÷1.269	×0.880	—	×0.968	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 154, 1B 110, 2B 111, 3B 80, K 98, BB 105 — 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 .370 → .298; ISO .000 → .000; BABIP .429 → .364. 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 AAALas Vegas 51s · 59 PAwOBA .569 → .480 (−90)K% 8.5% → 11.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.47%	÷0.945	×1.290	—	—	11.56%
BB% (unintentional) /PA	5.08%	÷1.060	×0.710	—	×1.033	3.52%
HBP% /PA	1.69%	—	×0.980	—	×1.033	1.72%
Singles /BIP	20.00%	÷0.991	×0.900	—	×1.033	18.76%
Doubles /BIP	16.00%	÷1.057	×0.810	—	×1.033	12.67%
Triples /BIP	0.00%	÷0.900	×0.810	—	×1.033	0.00%
Home runs /BIP	12.00%	÷0.925	×0.780	—	×1.033	10.45%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 98, 2B 111, 3B 80, K 89, BB 112 — 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).

Result: wOBA .569 → .480; ISO .473 → .393; BABIP .409 → .351. 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).

2013 AAALas Vegas 51s · 78 PAwOBA .443 → .376 (−67)K% 15.4% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.952	×1.290	—	—	20.86%
BB% (unintentional) /PA	24.36%	÷0.994	×0.710	—	×1.048	18.23%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	15.91%	÷1.018	×0.900	—	×1.048	14.74%
Doubles /BIP	18.18%	÷1.023	×0.810	—	×1.048	15.09%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.048	0.00%
Home runs /BIP	4.55%	÷1.078	×0.780	—	×1.048	3.45%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — 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 .443 → .376; ISO .250 → .216; BABIP .349 → .302. 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).

2013 AABinghamton Mets · 30 PAwOBA .330 → .280 (−50)K% 30.0% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷1.034	×1.220	—	—	35.41%
BB% (unintentional) /PA	10.00%	÷1.019	×0.700	—	×1.012	6.95%
HBP% /PA	0.00%	—	×0.850	—	×1.012	0.00%
Singles /BIP	11.11%	÷0.949	×0.970	—	×1.012	11.50%
Doubles /BIP	11.11%	÷0.991	×0.860	—	×1.012	9.76%
Triples /BIP	5.56%	÷0.900	×0.950	—	×1.012	5.93%
Home runs /BIP	5.56%	÷1.012	×0.780	—	×1.012	4.33%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 90, 2B 98, 3B 80, K 107, BB 104 — 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).

Result: wOBA .330 → .280; ISO .259 → .222; BABIP .294 → .284. 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
#1Yan Gomeslast yr '24 career totals — 13 seasons, 4,082 PA	6.1	4,082	137	8	246	295	412	+69	+103	27.3	26.2
/162	664	22	1	+11.2	+16.8	4.4	pk7: 25
#2Jason Castrolast yr '22 career totals — 12 seasons, 3,381 PA	5.1	3,381	97	6	227	312	387	+60	+77	22.5	21.6
/162	664	19	1	+11.9	+15.1	4.4	pk7: 21
#3Yorvit Torrealbalast yr '13 career totals — 12 seasons, 3,179 PA	4.8	3,179	56	19	256	314	379	+53	+79	20.2	18.4
/162	664	12	4	+11.1	+16.6	4.2	pk7: 17
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 15 projected seasons	5.7	3,806	135	4	243	303	417	+65	+109	17.6	16.4
/162	664	23	1	+11.3	+19.0	3.1	pk7: 15
#4Rich Gedman'80-'92 * career totals — 12 seasons, 3,468 PA	5.2	3,468	88	3	249*	305*	420*	+61	+0	13.1	13.8
/162	664	17	1	+11.7	+0.0	2.5	pk7: 15
#5Mike Heath'78-'91 * career totals — 14 seasons, 4,585 PA	6.9	4,585	86	54	249*	300*	388*	+53	+2	13.3	12.5
/162	664	12	8	+7.6	+0.4	1.9	pk7: 12
#6Ed Herrmann'67-'78 * career totals — 10 seasons, 3,057 PA	4.6	3,057	80	6	241*	311*	404*	+49	+0	11.9	11.5
/162	664	17	1	+10.6	+0.0	2.6	pk7: 11

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
Travis d'Arnaud (OGILVIE)	38	—	—	—	—	217/282/383	166	271	3	1	27%	7%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Olivo 2015 · MLB	37	48→50	51→60	43→50	36	243/277/403	160	316	19	5	30%	4%	89	+0.5	213/254/335	122	302	13	10	32%	5%	64	-1.3	200/241/313	113	282	12	10	33%	5%	52	-1.3
✕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
✕José Hernández 2006 · MLB	37	47→57	50→55	41→45	45	242/299/391	150	302	19	5	26%	7%	95	+0.9	234/289/361	127	295	14	6	25%	7%	84	+0.1	230/285/340	110	295	11	6	25%	6%	75	-0.3
✕Angel Berroa 2015 · AAA	38	49→56	49→50	42→50	40	246/291/392	146	290	17	6	22%	4%	92	+0.7	237/283/370	133	280	15	8	21%	4%	83	+0.1	227/262/329	102	258	11	3	17%	3%	63	-0.4
✕Kurt Suzuki 2022 · MLB	38	48→58	49→60	45	48	242/312/390	148	262	18	4	16%	6%	100	+1.3	224/301/361	137	255	16	6	19%	8%	88	+0.5	177/265/289	112	194	15	0	18%	9%	60	-0.4
✕A.J. Pierzynski 2015 · MLB	38	51→61	48→55	41→40	42	258/292/396	138	278	17	2	15%	3%	93	+0.8	257/294/375	118	275	12	3	11%	4%	88	+0.4	264/298/376	113	279	10	1	9%	3%	90	+0.4
✕Ernie Young 2007 · AAA	38	48→50	49→45	43→40	47	238/314/382	144	304	17	6	27%	8%	98	+1.2	211/276/336	125	273	15	5	28%	7%	74	-0.6	173/235/274	102	219	14	0	28%	6%	41	-2.1
✕Eliezer Alfonzo 2016 · AAA	37	44→54	50→55	44→40	36	230/265/372	142	284	19	5	27%	3%	77	-0.3	254/287/418	164	304	22	7	24%	4%	97	+1.1	269/293/443	174	312	26	3	23%	2%	104	+1.0
✕Martín Maldonado 2024 · MLB	37	34→44	52→50	45→40	43	191/261/348	157	245	22	2	32%	8%	71	-0.8	196/252/337	141	269	18	4	33%	6%	64	-1.3	159/206/272	113	220	15	0	35%	5%	33	-0.9
✕Mendy López 2012 · AAA	38	48→54	53→55	39→30	48	246/316/414	168	313	22	3	28%	9%	106	+1.8	226/304/395	169	285	23	4	28%	9%	97	+1.1	207/293/369	162	253	24	1	28%	10%	88	+0.3
✕Pedro Castellano 2008 · AAA	38	51→61	48→50	38→45	49	252/306/393	141	275	15	3	15%	6%	97	+1.1	266/312/385	119	305	12	4	16%	6%	97	+1.1	275/321/383	108	318	11	3	17%	6%	100	+0.9
✕A.J. Ellis 2018 · MLB	37	45→54	48→45	45→40	54	228/311/370	143	252	17	5	18%	9%	95	+0.9	247/334/371	124	299	12	6	20%	11%	103	+1.5	266/370/339	73	343	3	0	20%	14%	109	+0.6
✕Robinson Chirinos 2021 · MLB	37	44→46	53→60	43→50	50	226/326/403	178	292	21	4	29%	10%	108	+1.9	217/302/373	156	293	18	5	30%	9%	92	+0.7	192/283/338	146	265	17	2	32%	9%	78	-0.1
✕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
✕Kelly Stinnett 2007 · MLB	37	46	48→50	47→40	42	234/289/368	134	298	17	5	27%	6%	86	+0.3	206/258/320	114	260	13	6	25%	6%	62	-1.4	153/195/225	72	189	9	0	25%	4%	15	-1.6
✕Benito Santiago 2004 · MLB	39	54→56	48→50	44→45	47	269/310/416	147	296	15	4	15%	6%	103	+1.6	257/306/402	145	293	16	5	18%	6%	99	+1.2	268/307/424	156	298	19	3	17%	4%	106	+0.6
✕Vance Wilson 2009 · MLB	36	49	50	43→40	44	248/299/406	157	286	18	9	21%	6%	98	+1.2	232/292/386	154	280	19	6	24%	6%	91	+0.7	213/266/351	138	253	20	0	24%	4%	71	-0.3
✕Sal Fasano 2008 · MLB	36	42	52→55	44→40	37	220/278/379	159	274	21	4	28%	4%	85	+0.2	203/259/316	113	281	12	6	31%	4%	62	-1.4	175/227/258	82	257	7	4	33%	3%	35	-1.1
✕Mike DiFelice 2007 · MLB	38	42	44→50	43→30	46	210/278/327	117	263	12	4	25%	7%	72	-0.7	214/265/309	95	283	9	4	27%	5%	62	-1.4	207/251/287	80	276	7	0	27%	5%	50	-1.1
✕Hernando Arredondo 2015 · AAA	38	46→53	45→50	40→50	42	229/265/351	122	258	13	4	18%	4%	72	-0.7	229/269/335	106	285	11	7	23%	5%	70	-0.9	233/262/315	82	302	10	4	26%	3%	59	-0.3

Travis d'Arnaud

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps