Anthony Rendon

Pos3B

B/TR/R

Born1990-06-06

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

MLBIL-6040-MAN

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2022	32	MLBLAA	193	.229/.330/.380	5	2	103	0.7
2023	33	MLBLAA	183	.236/.369/.318	2	2	102	0.2
2024	34	MLBLAA	238	.218/.312/.267	0	6	70	-0.3
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR 0.7

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

xwOBA66

Avg EV49

Speed36

Barrel%25

Bat Spd21

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.

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)
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	58	—	—	—	—	—	—
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	111	—	—	—	—	—	—
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	163	—	—	—	—	—	—
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	101	+0	-0	-3	+2	+9	0.8
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	155	—	—	—	—	—	—
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	131	+25	+2	+8	+2	+15	5.3
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	103	+1	-1	+4	+1	+8	1.4
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	64	—	—	—	—	—	—
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	161	—	—	—	—	—	—
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	123	+18	+0	+1	+2	+14	3.7
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	158	+42	+1	+5	+2	+13	6.4
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	149	+35	+0	+4	+2	+13	5.6
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	175	+57	+1	+3	+2	+14	7.9
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	158	+16	+0	+2	+1	+5	2.4
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	101	+0	+0	-4	+1	+5	0.3
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	103	+1	+0	+1	+1	+4	0.7
2023	33	MLB	Los Angeles Angels	—	183	148	35	6	0	2	25	27	6	2	0	236	369	318	686	81	268	15	14	318	102	+0	+0	-3	+1	+4	0.2
2024	34	MLB	Los Angeles Angels	—	238	206	45	10	0	0	23	35	5	6	1	218	312	267	579	49	257	15	10	270	70	-8	+1	-1	+1	+5	-0.3
▸ 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	134	+204	+4	+17	+19	+109	36.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	AA MLE	Harrisburg Senators	—	82	71	10	3	1	2	8	19	3	0	0	141	256	296	552	155	154	23	10	254	58	—	—	—	—	—	—
2012	22	A+ MLE	Potomac Nationals	—	32	29	8	2	2	0	3	6	0	0	0	276	344	483	827	207	315	19	9	332	111	—	—	—	—	—	—
2013	23	MLB MLE	Washington Nationals	—	394	354	93	23	1	7	28	69	5	1	1	263	326	393	718	130	307	18	7	317	101	+0	-0	-3	+2	+9	0.8
2013	23	AA MLE	Harrisburg Senators	—	152	125	36	11	2	5	22	29	3	1	0	288	407	528	935	240	324	19	14	397	155	—	—	—	—	—	—
2014	24	MLB MLE	Washington Nationals	—	683	615	176	38	7	21	56	104	5	17	3	286	351	473	824	187	314	15	8	362	131	+25	+2	+8	+2	+15	5.3
2015	25	MLB MLE	Washington Nationals	—	355	311	82	16	0	5	36	70	4	1	2	264	348	363	711	100	321	20	10	321	103	+1	-1	+4	+1	+8	1.4
2015	25	AA MLE	Harrisburg Senators	—	27	25	5	2	0	0	2	5	0	0	0	200	259	280	539	80	271	19	7	263	64	—	—	—	—	—	—
2015	25	A+ MLE	Potomac Nationals	—	20	18	7	2	0	0	2	3	0	0	0	389	450	500	950	111	463	15	10	406	161	—	—	—	—	—	—
2016	26	MLB MLE	Washington Nationals	—	647	569	152	37	2	20	63	117	7	12	6	267	347	445	792	178	304	18	10	351	123	+18	+0	+1	+2	+14	3.7
2017	27	MLB MLE	Washington Nationals	—	605	514	152	40	1	25	78	82	7	7	2	296	396	523	919	228	314	14	13	402	158	+42	+1	+5	+2	+13	6.4
2018	28	MLB MLE	Washington Nationals	—	597	534	162	43	2	24	50	82	5	2	1	303	368	526	895	223	323	14	8	389	149	+35	+0	+4	+2	+13	5.6
2019	29	MLB MLE	Washington Nationals	—	646	553	174	43	4	34	72	86	12	5	1	315	405	591	996	277	323	13	11	426	175	+57	+1	+3	+2	+14	7.9
2020	30	MLB MLE	Los Angeles Angels	—	232	191	54	11	1	9	36	31	5	0	0	283	409	492	902	209	302	13	16	402	158	+16	+0	+2	+1	+5	2.4
2021	31	MLB MLE	Los Angeles Angels	—	249	219	53	14	0	6	27	41	1	0	0	242	328	388	716	146	267	16	11	318	101	+0	+0	-4	+1	+5	0.3
2022	32	MLB MLE	Los Angeles Angels	—	193	166	38	10	0	5	23	35	2	2	0	229	330	380	709	151	258	18	12	321	103	+1	+0	+1	+1	+4	0.7
2023	33	MLB MLE	Los Angeles Angels	—	183	148	35	6	0	2	25	27	6	2	0	236	369	318	686	81	268	15	14	319	102	+0	+0	-3	+1	+4	0.2
2024	34	MLB MLE	Los Angeles Angels	—	238	206	45	10	0	0	23	35	5	6	1	218	312	267	579	49	257	15	10	272	70	-8	+1	-1	+1	+5	-0.3
2012	22	INTL MLE	3 teams	—	208	183	33	8	6	5	20	46	3	6	1	180	272	372	643	191	209	22	10	276	73	—	—	—	—	—	—
2012	22	INTL RAW	3 teams	—	208	172	46	15	5	3	31	34	3	6	1	267	388	465	853	198	314	16	15	376	73	—	—	—	—	—	—
2013	23	MLB MLE	2 teams	—	546	479	129	34	3	12	50	98	8	2	1	269	348	428	776	159	311	18	9	339	116	+10	+0	-3	+2	+12	2.2
2013	23	MLB RAW	2 teams	—	546	468	130	34	3	13	61	94	8	2	1	278	371	447	817	169	318	17	11	360	116	+10	+0	-3	+2	+12	2.2
2014	24	MLB MLE	Washington Nationals	—	683	615	176	38	7	21	56	104	5	17	3	286	351	473	824	187	313	15	8	362	131	+25	+2	+8	+2	+15	5.3
2014	24	MLB RAW	Washington Nationals	—	683	613	176	39	6	21	58	104	5	17	3	287	354	473	827	186	314	15	8	362	131	+25	+2	+8	+2	+15	5.3
2015	25	MLB MLE	3 teams	—	402	354	95	20	0	5	40	78	4	1	2	268	349	367	716	99	327	19	10	321	103	+2	-1	+4	+1	+9	1.6
2015	25	MLB RAW	3 teams	—	402	352	96	21	0	5	42	76	4	1	2	273	357	375	732	102	331	19	10	331	103	+2	-1	+4	+1	+9	1.6
2016	26	MLB MLE	Washington Nationals	—	647	569	152	37	2	20	63	117	7	12	6	267	347	445	792	178	300	18	10	351	123	+18	+0	+1	+2	+14	3.7
2016	26	MLB RAW	Washington Nationals	—	647	567	153	38	2	20	65	117	7	12	6	270	352	450	802	180	304	18	10	353	123	+18	+0	+1	+2	+14	3.7
2017	27	MLB MLE	Washington Nationals	—	605	514	152	40	1	25	78	82	7	7	2	296	396	523	919	228	308	14	13	402	158	+42	+1	+5	+2	+13	6.4
2017	27	MLB RAW	Washington Nationals	—	605	508	153	41	1	25	84	82	7	7	2	301	407	533	941	232	314	14	14	410	158	+42	+1	+5	+2	+13	6.4
2018	28	MLB MLE	Washington Nationals	—	597	534	162	43	2	24	50	82	5	2	1	303	368	526	895	223	317	14	8	389	149	+35	+0	+4	+2	+13	5.6
2018	28	MLB RAW	Washington Nationals	—	597	529	163	44	2	24	55	82	5	2	1	308	379	535	914	227	323	14	9	395	149	+35	+0	+4	+2	+13	5.6
2019	29	MLB MLE	Washington Nationals	—	646	553	174	43	4	34	72	86	12	5	1	315	405	591	996	277	317	13	11	426	175	+57	+1	+3	+2	+14	7.9
2019	29	MLB RAW	Washington Nationals	—	646	545	174	44	3	34	80	86	12	5	1	319	418	598	1.016	279	323	13	12	435	175	+57	+1	+3	+2	+14	7.9
2020	30	MLB MLE	Los Angeles Angels	—	232	191	54	11	1	9	36	31	5	0	0	283	409	492	902	209	298	13	16	402	158	+16	+0	+2	+1	+5	2.4
2020	30	MLB RAW	Los Angeles Angels	—	232	189	54	11	1	9	38	31	5	0	0	286	418	497	915	212	302	13	16	407	158	+16	+0	+2	+1	+5	2.4
2021	31	MLB MLE	Los Angeles Angels	—	249	219	53	14	0	6	27	41	1	0	0	242	328	388	716	146	270	16	11	318	101	+0	+0	-4	+1	+5	0.3
2021	31	MLB RAW	Los Angeles Angels	—	249	217	52	13	0	6	29	41	1	0	0	240	332	382	714	143	267	16	12	321	101	+0	+0	-4	+1	+5	0.3
2022	32	MLB MLE	Los Angeles Angels	—	193	166	38	10	0	5	23	35	2	2	0	229	330	380	709	151	258	18	12	321	103	+1	+0	+1	+1	+4	0.7
2022	32	MLB RAW	Los Angeles Angels	—	193	166	38	10	0	5	23	35	2	2	0	229	330	380	709	151	258	18	12	319	103	+1	+0	+1	+1	+4	0.7
2023	33	MLB MLE	Los Angeles Angels	—	183	148	35	6	0	2	25	27	6	2	0	236	369	318	686	81	268	15	14	319	102	+0	+0	-3	+1	+4	0.2
2023	33	MLB RAW	Los Angeles Angels	—	183	148	35	6	0	2	25	27	6	2	0	236	369	318	686	81	268	15	14	318	102	+0	+0	-3	+1	+4	0.2
2024	34	MLB MLE	Los Angeles Angels	—	238	206	45	10	0	0	23	35	5	6	1	218	312	267	579	49	257	15	10	272	70	-8	+1	-1	+1	+5	-0.3
2024	34	MLB RAW	Los Angeles Angels	—	238	206	45	10	0	0	23	35	5	6	1	218	312	267	579	49	257	15	10	270	70	-8	+1	-1	+1	+5	-0.3
2012	22	INTL MLE	3 teams	—	208	183	33	8	6	5	20	46	3	6	1	180	272	372	643	191	199	22	10	276	73	—	—	—	—	—	—
2013	23	MLB MLE	2 teams	—	546	483	129	34	3	12	50	98	8	2	1	267	348	424	773	157	312	18	9	339	116	—	—	—	—	—	—
2014	24	MLB MLE	Washington Nationals	—	683	617	176	38	7	21	56	104	5	17	3	285	351	472	822	186	314	15	8	362	131	—	—	—	—	—	—
2015	25	MLB MLE	3 teams	—	402	355	95	20	0	5	40	78	4	1	2	268	349	366	715	99	325	19	10	321	103	—	—	—	—	—	—
2016	26	MLB MLE	Washington Nationals	—	647	572	152	37	2	20	63	117	7	12	6	266	347	442	790	177	304	18	10	351	123	—	—	—	—	—	—
2017	27	MLB MLE	Washington Nationals	—	605	515	152	40	1	25	78	82	7	7	2	295	396	522	918	227	314	14	13	402	158	—	—	—	—	—	—
2018	28	MLB MLE	Washington Nationals	—	597	537	162	43	2	24	50	82	5	2	1	302	368	523	892	222	323	14	8	389	149	—	—	—	—	—	—
2019	29	MLB MLE	Washington Nationals	—	646	557	174	43	4	34	72	86	12	5	1	312	405	587	992	275	323	13	11	426	175	—	—	—	—	—	—
2020	30	MLB MLE	Los Angeles Angels	—	232	189	54	11	1	9	36	31	5	0	0	286	409	497	907	212	302	13	16	402	158	—	—	—	—	—	—
2021	31	MLB MLE	Los Angeles Angels	—	249	219	53	14	0	6	27	41	1	0	0	242	328	388	716	146	267	16	11	318	101	—	—	—	—	—	—
2022	32	MLB MLE	Los Angeles Angels	—	193	166	38	10	0	5	23	35	2	2	0	229	330	380	709	151	258	18	12	321	103	—	—	—	—	—	—
2023	33	MLB MLE	Los Angeles Angels	—	183	150	35	6	0	2	25	27	6	2	0	233	369	313	682	80	268	15	14	319	102	—	—	—	—	—	—
2024	34	MLB MLE	Los Angeles Angels	—	238	208	45	10	0	0	23	35	5	6	1	216	312	264	576	48	257	15	10	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	MLB MLE	Los Angeles Angels	—	238	208	45	10	0	0	23	35	5	6	1	216	312	264	576	48	257	15	10	272	70	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5022	4350	1218	295	16	158	547	779	64	55	17	280	369	464	833	184	305	16	11	366	130	+204	+4	+17	+19	+109	36.0
/ 162G	—	A+C		—	650	563	157	38	2	20	71	101	8	7	2	279	368	460	828	181	305	16	11	366	130	+26	+1	+2	+2	+14	4.7
Career	—	MLE		—	5429	4731	1298	314	26	168	563	862	70	62	18	274	360	458	818	184	300	16	10	360	130	+204	+4	+17	+19	+109	36.0
/ 162G	—	MLE		—	650	566	156	38	3	20	67	103	8	7	2	276	359	459	819	184	302	16	10	360	130	+26	+1	+2	+2	+14	4.7

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.

2015 AAHarrisburg Senators · 27 PAwOBA .313 → .263 (−50)K% 14.8% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.81%	÷1.018	×1.220	—	—	17.75%
BB% (unintentional) /PA	11.11%	÷1.052	×0.700	—	×0.998	7.38%
HBP% /PA	0.00%	—	×0.850	—	×0.998	0.00%
Singles /BIP	15.00%	÷0.962	×0.970	—	×0.998	15.10%
Doubles /BIP	15.00%	÷1.070	×0.860	—	×0.998	12.04%
Triples /BIP	0.00%	÷0.916	×0.950	—	×0.998	0.00%
Home runs /BIP	0.00%	÷0.986	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 92, 2B 114, 3B 83, K 104, BB 110 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .313 → .263; ISO .125 → .101; BABIP .300 → .271. 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+Potomac Nationals · 20 PAwOBA .492 → .406 (−86)K% 10.0% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷1.006	×1.420	—	—	14.11%
BB% (unintentional) /PA	15.00%	÷1.022	×0.630	—	×0.978	9.05%
HBP% /PA	0.00%	—	×0.860	—	×0.978	0.00%
Singles /BIP	40.00%	÷1.030	×0.940	—	×0.978	35.69%
Doubles /BIP	13.33%	÷1.016	×0.830	—	×0.978	10.66%
Triples /BIP	0.00%	÷0.937	×0.800	—	×0.978	0.00%
Home runs /BIP	0.00%	÷0.900	×0.900	—	×0.978	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 80, 1B 106, 2B 103, 3B 87, K 101, BB 104 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .492 → .406; ISO .118 → .096; BABIP .533 → .463. 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 AAHarrisburg Senators · 152 PAwOBA .450 → .397 (−53)K% 16.4% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.45%	÷1.043	×1.220	—	—	19.24%
BB% (unintentional) /PA	19.74%	÷0.990	×0.700	—	×1.027	14.33%
HBP% /PA	1.97%	—	×0.850	—	×1.027	1.72%
Singles /BIP	19.57%	÷1.011	×0.970	×0.950	×1.027	18.32%
Doubles /BIP	11.96%	÷0.883	×0.860	×0.950	×1.027	11.36%
Triples /BIP	2.17%	÷1.150	×0.950	×0.950	×1.027	1.75%
Home runs /BIP	6.52%	÷1.012	×0.780	—	×1.027	5.16%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 102, 2B 77, 3B 130, K 109, BB 98 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .450 → .397; ISO .282 → .255; BABIP .352 → .324. 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).

2012 AAHarrisburg Senators · 82 PAwOBA .300 → .254 (−46)K% 19.5% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.51%	÷1.006	×1.220	—	—	23.66%
BB% (unintentional) /PA	13.41%	÷0.989	×0.700	—	×1.042	9.89%
HBP% /PA	3.66%	—	×0.850	—	×1.042	3.24%
Singles /BIP	7.69%	÷0.967	×0.970	×0.964	×1.042	7.76%
Doubles /BIP	5.77%	÷0.982	×0.860	×0.964	×1.042	5.08%
Triples /BIP	1.92%	÷1.015	×0.950	×0.964	×1.042	1.81%
Home runs /BIP	5.77%	÷0.976	×0.780	—	×1.042	4.81%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 93, 2B 96, 3B 103, K 101, BB 98 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .300 → .254; ISO .206 → .176; BABIP .163 → .154. 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).

2012 A+Potomac Nationals · 32 PAwOBA .443 → .332 (−111)K% 12.5% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.50%	÷0.991	×1.420	—	—	17.92%
BB% (unintentional) /PA	15.62%	÷1.029	×0.630	—	×1.012	9.68%
HBP% /PA	0.00%	—	×0.860	—	×1.012	0.00%
Singles /BIP	17.39%	÷1.086	×0.940	—	×1.012	15.23%
Doubles /BIP	8.70%	÷1.028	×0.830	—	×1.012	7.10%
Triples /BIP	13.04%	÷1.150	×0.800	—	×1.012	9.18%
Home runs /BIP	0.00%	÷1.159	×0.900	—	×1.012	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 132, 1B 117, 2B 106, 3B 130, K 98, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .443 → .332; ISO .296 → .219; BABIP .391 → .315. 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 — .