Anthony Rendon — OGILVIE

Anthony Rendon3B Los Angeles Angels

INJURED · Injured 60-Day (D60)

Age 36 R/R 6'1" / 200 lbs MLB HR -5% Svc 12.756 · Ctrl thru 2026 peak 0.2 · 2026

wRC+†vL 60100vR 62

AVG/OBP/SLG.245 / .343 / .340

PA49

HR1

K%15

BB%11

xwOBA.299

Barrel%2.3%

MLB%100%

Scouting · now → future

HIT

50→50

PWR

35→35

SPD

45→45

EYE

55↗60

Barrel%

102.3

xwOBA

420.299

Avg EV

3487.9

Whiff%

900.043

Chase%

900.219

Speed

3626.8

Bat Spd

2168.3

Contract

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

Status FA

MLB Debut 2013

Service 12.756 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$35M	+0.2	$0.8M	-$34M
Totals		$35M		$0.8M	-$34M

Options · projected decision
2027	CLUB OPT	$2015.0M / $0.0M buyout	DECLINE
2028	CLUB OPT	$2.5M / $0.0M buyout	DECLINE

Career Projections (MLE)

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	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
2012	22	INTL	3 teams	208	183	31	8	5	5	20	48	3	6	1	.169	.262	.350	.612	.180	.197	23	10	.266	62	-9	+1	+0	+1	+6	-0.2
2013	23	MLB	2 teams	546	477	124	35	3	13	52	100	8	2	1	.260	.343	.428	.770	.168	.299	18	10	.334	114	+9	+0	-3	+2	+15	2.4
2014	24	MLB	Washington Nationals	683	613	169	38	7	22	58	104	5	17	3	.276	.343	.468	.811	.192	.299	15	8	.348	124	+19	+2	+8	+2	+19	5.1
2015	25	MLB	3 teams	402	354	93	19	0	5	40	78	4	1	2	.263	.344	.359	.703	.096	.320	19	10	.308	94	-3	-1	+4	+1	+11	1.4
2016	26	MLB	Washington Nationals	647	567	153	39	2	19	65	117	7	12	6	.270	.352	.446	.798	.176	.305	18	10	.345	122	+16	+0	+1	+2	+18	3.9
2017	27	MLB	Washington Nationals	605	508	152	41	1	26	84	82	7	7	2	.299	.406	.537	.943	.238	.310	14	14	.398	163	+43	+1	+5	+2	+17	6.9
2018	28	MLB	Washington Nationals	597	529	161	40	2	25	55	82	5	2	1	.304	.375	.529	.905	.225	.316	14	9	.381	150	+33	+0	+4	+2	+17	5.8
2019	29	MLB	Washington Nationals	646	545	169	40	3	30	80	86	12	5	1	.310	.410	.560	.969	.250	.317	13	12	.404	167	+49	+1	+3	+2	+18	7.5
2020	30	MLB	Los Angeles Angels	232	189	54	11	1	8	38	31	5	0	0	.286	.418	.481	.900	.196	.307	13	16	.385	152	+14	+0	+2	+1	+7	2.3
2021	31	MLB	Los Angeles Angels	249	217	52	14	0	6	29	41	1	0	0	.240	.332	.387	.719	.147	.267	16	12	.309	95	-2	+0	-4	+1	+7	0.2
2022	32	MLB	Los Angeles Angels	193	166	37	10	0	5	23	35	2	2	0	.223	.325	.373	.698	.151	.250	18	12	.301	89	-2	+0	+1	+1	+5	0.5
2023	33	MLB	Los Angeles Angels	183	148	37	6	0	2	25	27	6	2	0	.250	.380	.331	.711	.081	.285	15	14	.318	102	+0	+0	-3	+1	+5	0.3
2024	34	MLB	Los Angeles Angels	238	206	45	10	0	0	23	35	5	6	1	.218	.312	.267	.579	.049	.257	15	10	.267	63	-10	+1	-1	+1	+7	-0.3
▸ 2026 Season
2026	36	MLB	LAA	49	43	11	2	0	1	5	7	1	1	0	.256	.347	.372	.719	.116	.285	14	10	.316	100	-0	+0	-0	+0	+1	0.2
▸ Career Totals (MLE all levels + projections)
Career	—			5478	4745	1288	313	24	167	597	873	71	63	18	.271	.361	.453	.814	.182	.298	16	11	.349	125	+157	+5	+17	+20	+155	36.2
/ 162G	—			650	563	153	37	3	20	71	104	8	7	2	.272	.361	.455	.816	.183	.298	16	11	.349	125	+19	+1	+2	+2	+18	4.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2012	22	AA	Harrisburg Senators	82	68	11	3	1	3	11	16	3	0	0	.162	.305	.368	.673	.206	.163	20	13	.307	93	-1	+0	—	—	+2	0.2
2012	22	A+	Potomac Nationals	32	27	9	2	3	0	5	4	0	0	0	.333	.438	.630	1.067	.296	.391	12	16	.454	205	+4	+0	—	—	+1	0.5
2012	22	INTL	Salt River Rafters	94	77	26	10	1	0	15	14	0	6	1	.338	.446	.494	.939	.156	.400	15	16	.410	172	+8	+1	—	—	+3	1.1
2013	23	MLB	Washington Nationals	394	351	93	23	1	7	31	69	5	1	1	.265	.333	.396	.729	.131	.307	18	8	.323	105	+2	-0	-3	+2	+11	1.3
2013	23	AA	Harrisburg Senators	152	117	37	11	2	6	30	25	3	1	0	.316	.467	.598	1.065	.282	.352	16	20	.456	207	+18	+0	—	—	+4	2.3
2014	24	MLB	Washington Nationals	683	613	176	39	6	21	58	104	5	17	3	.287	.354	.473	.827	.186	.314	15	8	.362	135	+27	+2	+8	+2	+19	6.0
2015	25	MLB	Washington Nationals	355	311	82	16	0	5	36	70	4	1	2	.264	.348	.363	.711	.100	.321	20	10	.322	104	+2	-1	+4	+1	+10	1.7
2015	25	AA	Harrisburg Senators	27	24	6	3	0	0	3	4	0	0	0	.250	.333	.375	.708	.125	.300	15	11	.321	104	+0	+0	—	—	+1	0.1
2015	25	A+	Potomac Nationals	20	17	8	2	0	0	3	2	0	0	0	.471	.550	.588	1.138	.118	.533	10	15	.505	244	+3	+0	—	—	+1	0.4
2016	26	MLB	Washington Nationals	647	567	153	38	2	20	65	117	7	12	6	.270	.352	.450	.802	.180	.304	18	10	.353	128	+21	+0	+1	+2	+18	4.4
2017	27	MLB	Washington Nationals	605	508	153	41	1	25	84	82	7	7	2	.301	.407	.533	.941	.232	.314	14	14	.410	172	+49	+1	+5	+2	+17	7.5
2018	28	MLB	Washington Nationals	597	529	163	44	2	24	55	82	5	2	1	.308	.379	.535	.914	.227	.323	14	9	.395	161	+41	+0	+4	+2	+17	6.6
2019	29	MLB	Washington Nationals	646	545	174	44	3	34	80	86	12	5	1	.319	.418	.598	1.016	.279	.323	13	12	.435	191	+66	+1	+3	+2	+18	9.2
2020	30	MLB	Los Angeles Angels	232	189	54	11	1	9	38	31	5	0	0	.286	.418	.497	.915	.212	.302	13	16	.407	170	+18	+0	+2	+1	+7	2.8
2021	31	MLB	Los Angeles Angels	249	217	52	13	0	6	29	41	1	0	0	.240	.332	.382	.714	.143	.267	16	12	.321	104	+1	+0	-4	+1	+7	0.5
2022	32	MLB	Los Angeles Angels	193	166	38	10	0	5	23	35	2	2	0	.229	.330	.380	.709	.151	.258	18	12	.319	102	+1	+0	+1	+1	+5	0.8
2023	33	MLB	Los Angeles Angels	183	148	35	6	0	2	25	27	6	2	0	.236	.369	.318	.686	.081	.268	15	14	.318	101	+0	+0	-3	+1	+5	0.3
2024	34	MLB	Los Angeles Angels	238	206	45	10	0	0	23	35	5	6	1	.218	.312	.267	.579	.049	.257	15	10	.270	65	-9	+1	-1	+1	+7	-0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			5022	4350	1218	295	16	158	547	779	64	55	17	.280	.369	.464	.833	.184	.305	16	11	.366	139	+219	+4	+17	+19	+142	40.9

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
Anthony Rendon (OGILVIE)	36	50	35	45	60	.245/.343/.340	.095	.285	1	1	15%	11%	100	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Orlando Palmeiro 2005 · MLB	36	55	40	45→50	59	.260/.335/.349	.089	.279	7	9	10%	10%	97	+1.5	.252/.320/.363	.111	.276	8	7	11%	8%	95	+1.4	.256/.322/.349	.094	.282	4	4	10%	8%	87	+0.2
✕Ricky Gutierrez 2005 · MLB	35	52→58	39→45	45	50	.248/.305/.330	.082	.276	7	5	13%	6%	79	+0.3	.211/.279/.293	.082	.254	7	8	19%	7%	59	-1.1	.167/.245/.189	.022	.211	0	4	19%	7%	17	-0.9
✕Matt Treanor 2012 · MLB	36	45	41→40	40	56	.216/.313/.306	.090	.257	9	6	19%	11%	79	+0.3	.216/.312/.331	.115	.267	11	8	22%	11%	84	+0.6	.161/.271/.266	.105	.201	10	5	24%	11%	41	-0.5
✕Chris Gomez 2006 · MLB	35	56→54	38→45	45→40	56	.263/.324/.346	.083	.283	6	7	9%	8%	92	+1.2	.276/.328/.364	.088	.305	6	5	11%	7%	98	+1.6	.292/.333/.366	.074	.328	4	2	12%	5%	95	+0.5
✕A.J. Ellis 2017 · MLB	36	46→51	43→45	45→40	61	.223/.326/.332	.109	.256	11	4	17%	12%	91	+1.1	.237/.327/.366	.129	.277	13	5	19%	10%	99	+1.7	.237/.336/.351	.114	.283	12	0	19%	11%	93	+0.4
✕Ramon Martinez 2008 · MLB	35	52	38→45	48→40	54	.245/.304/.324	.079	.267	6	5	11%	8%	77	+0.1	.235/.295/.320	.085	.264	7	6	13%	7%	72	-0.2	.252/.313/.320	.068	.278	4	2	11%	7%	80	+0.1
✕Gerald Laird 2014 · MLB	34	54→47	42→50	45→50	54	.257/.327/.366	.110	.292	8	6	15%	8%	98	+1.6	.234/.303/.331	.097	.283	7	6	19%	8%	79	+0.3	.203/.274/.256	.053	.259	0	0	20%	8%	37	-0.7
✕Jeff Reboulet 2001 · MLB	37	50	39→40	48→40	56	.235/.313/.318	.083	.275	6	10	16%	10%	80	+0.4	.243/.328/.348	.105	.294	7	6	18%	11%	94	+1.3	.246/.335/.351	.105	.295	7	2	17%	11%	92	+0.6
✕Heber Gomez 2014 · AAA	36	54→62	39→40	44→50	46	.254/.293/.340	.086	.281	5	9	12%	4%	76	+0.1	.256/.286/.332	.076	.284	5	7	12%	4%	71	-0.3	.260/.288/.323	.063	.286	4	4	10%	3%	66	-0.3
✕Mike Mordecai 2003 · MLB	35	53	42→45	42→45	49	.256/.313/.369	.113	.303	8	7	18%	7%	92	+1.2	.234/.295/.344	.110	.281	10	10	19%	8%	79	+0.3	.204/.267/.312	.108	.243	12	18	21%	8%	42	-0.4
✕Edgar Gonzalez 2013 · AAA	35	53→57	43→45	48→50	47	.260/.307/.370	.110	.300	11	13	17%	6%	91	+1.1	.232/.274/.347	.115	.299	12	16	26%	5%	71	-0.3	.211/.245/.310	.098	.282	11	23	29%	4%	43	-0.6
✕Dave Martinez 2001 · MLB	36	55→58	41→40	45→50	56	.263/.335/.369	.106	.300	8	10	15%	10%	102	+1.8	.266/.332/.376	.110	.313	8	9	17%	9%	102	+1.9	.287/.348/.384	.097	.346	5	7	17%	8%	108	+1.0
✕Mario Ivan Santana 2012 · AAA	36	54→64	39→40	41→45	50	.256/.304/.340	.084	.284	6	5	13%	6%	81	+0.4	.233/.283/.316	.083	.262	7	5	14%	6%	66	-0.6	.214/.266/.268	.054	.241	6	1	14%	5%	43	-0.9
✕Mike Benjamin 2002 · MLB	36	51	44→45	47→50	46	.249/.300/.374	.125	.293	9	12	18%	6%	89	+0.9	.213/.272/.316	.103	.267	9	8	23%	7%	63	-0.9	.148/.200/.180	.033	.198	0	0	24%	5%	-6	-1.2
✕Lou Merloni 2007 · MLB	36	50→46	43→45	40	46	.245/.303/.358	.113	.285	10	5	18%	6%	86	+0.8	.224/.280/.314	.090	.261	7	5	16%	6%	65	-0.7	.214/.270/.281	.067	.249	3	1	15%	6%	49	-1.3
✕Raul Sanchez 2009 · AAA	36	56→55	42→45	49→50	45	.269/.315/.372	.103	.304	9	14	15%	5%	94	+1.3	.252/.307/.343	.091	.300	7	9	18%	6%	83	+0.6	.271/.321/.371	.100	.323	8	4	18%	5%	95	+0.6
✕Carlos Ruiz 2016 · MLB	37	50→60	41→50	45	54	.240/.318/.343	.103	.268	8	5	14%	8%	89	+1.0	.241/.329/.352	.111	.283	10	7	17%	10%	96	+1.5	.245/.345/.349	.104	.296	10	6	19%	11%	99	+0.5
✕Miguel Flores 2006 · AAA	35	54→61	39→40	50→55	55	.253/.312/.342	.089	.271	7	14	10%	8%	85	+0.7	.271/.324/.351	.080	.291	5	20	8%	7%	92	+1.2	.287/.338/.356	.070	.307	4	21	8%	7%	95	+0.9
✕Jose Offerman 2005 · MLB	36	51→55	44→45	46→50	62	.243/.335/.371	.127	.272	10	10	14%	12%	103	+1.9	.226/.301/.338	.112	.260	11	9	17%	10%	80	+0.4	.231/.303/.332	.100	.261	11	9	15%	9%	78	+0.1
✕So Taguchi 2005 · MLB	36	52→58	47→45	50	51	.258/.313/.401	.143	.279	14	13	14%	7%	102	+1.8	.270/.321/.385	.115	.303	10	15	14%	7%	100	+1.7	.276/.331/.372	.096	.310	7	15	13%	7%	98	+1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)