Buster Posey

PosC

B/TR/R

Born1987-03-27

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2018	31	MLBSF	448	.284/.361/.382	5	3	114	3.6
2019	32	MLBSF	445	.257/.321/.368	7	0	98	3.8
2021	34	MLBSF	454	.304/.392/.499	18	0	153	6.5
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 14.0

Contract

No contract data on file.

Skills · percentileStatcast 2018-2021

xwOBA73

Avg EV45

Barrel%33

Speed10

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)
2008	21	ROK	AZL Giants	—	31	26	10	3	1	1	5	4	0	0	0	385	484	692	1.176	308	429	13	16	502	131	—	—	—	—	—	—
2009	22	MLB	San Francisco Giants	—	17	17	2	0	0	0	0	4	0	0	0	118	118	118	235		154	24	0	106	-42	-3	+0	+0	+9	+0	0.7
2009	22	AAA	Fresno Grizzlies	—	151	131	42	8	1	5	17	23	0	0	1	321	399	511	910	191	349	15	11	394	124	—	—	—	—	—	—
2009	22	A+	San Jose Giants	—	346	291	95	23	0	13	45	45	8	6	0	326	430	540	970	213	349	13	13	426	135	—	—	—	—	—	—
2010	23	MLB	San Francisco Giants	—	443	406	124	23	2	18	30	55	4	0	2	305	359	505	864	200	315	12	7	378	143	+23	-1	+7	+12	+10	5.1
2010	23	AAA	Fresno Grizzlies	—	208	172	60	13	2	6	28	30	4	1	1	349	451	552	1.003	203	386	14	13	434	153	—	—	—	—	—	—
2011	24	MLB	San Francisco Giants	—	185	162	46	5	0	4	18	30	4	3	0	284	370	389	758	105	326	16	10	344	116	+3	+1	+7	+3	+4	1.9
2012	25	MLB	San Francisco Giants	—	610	530	178	39	1	24	69	96	2	1	1	336	414	549	963	213	368	16	11	417	169	+50	-0	+33	+11	+13	10.9
2013	26	MLB	San Francisco Giants	—	595	520	153	34	1	15	60	70	8	2	1	294	376	450	826	156	312	12	10	365	131	+22	+0	+25	+11	+13	7.2
2014	27	MLB	San Francisco Giants	—	605	547	170	28	2	22	47	69	3	0	1	311	369	490	858	179	319	11	8	375	142	+30	-0	+25	+11	+13	8.0
2015	28	MLB	San Francisco Giants	—	623	557	177	28	0	19	56	52	3	2	0	318	383	470	853	153	320	8	9	376	138	+29	+0	+21	+11	+13	7.6
2016	29	MLB	San Francisco Giants	—	614	539	155	33	2	14	64	68	3	6	1	288	366	434	800	147	303	11	10	354	125	+18	+1	+38	+11	+13	8.3
2017	30	MLB	San Francisco Giants	—	568	494	158	34	0	12	61	66	8	6	1	320	403	462	865	142	347	12	11	385	140	+27	+1	+13	+10	+12	6.4
2018	31	MLB	San Francisco Giants	—	448	398	113	22	1	5	45	53	3	3	2	284	361	382	743	98	316	12	10	337	114	+7	-0	+11	+8	+10	3.6
2019	32	MLB	San Francisco Giants	—	445	405	104	24	0	7	34	71	4	0	0	257	321	368	688	111	296	16	8	310	98	-1	+0	+21	+8	+10	3.8
2021	34	MLB	San Francisco Giants	—	454	395	120	23	0	18	56	87	1	0	0	304	392	499	890	195	349	19	12	393	153	+28	+0	+18	+8	+10	6.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5607	4970	1500	293	9	158	540	721	43	23	9	302	375	460	835	158	324	13	10	369	136	+239	+1	+221	+113	+121	70.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	21	ROK MLE	AZL Giants	—	31	29	8	2	1	1	2	6	0	0	0	276	323	517	840	241	324	19	6	362	131	—	—	—	—	—	—
2009	22	MLB MLE	San Francisco Giants	—	17	17	2	0	0	0	0	4	0	0	0	118	118	118	235		154	24	0	106	-42	-3	+0	+0	+9	+0	0.7
2009	22	AAA MLE	Fresno Grizzlies	—	151	135	40	7	1	4	13	30	0	0	1	296	358	452	810	156	335	20	9	351	124	—	—	—	—	—	—
2009	22	A+ MLE	San Jose Giants	—	346	304	89	20	0	12	32	60	8	6	0	293	375	477	852	184	327	17	9	368	135	—	—	—	—	—	—
2010	23	MLB MLE	San Francisco Giants	—	443	411	126	23	2	19	25	55	4	0	2	307	352	511	863	204	315	12	6	379	143	+23	-1	+7	+12	+10	5.1
2010	23	AAA MLE	Fresno Grizzlies	—	208	180	60	13	2	5	20	40	4	1	1	333	412	511	923	178	379	19	10	395	153	—	—	—	—	—	—
2011	24	MLB MLE	San Francisco Giants	—	185	165	47	5	0	4	15	30	4	3	0	285	359	388	747	103	326	16	8	339	116	+3	+1	+7	+3	+4	1.9
2012	25	MLB MLE	San Francisco Giants	—	610	537	182	39	1	26	62	96	2	1	1	339	409	561	970	222	368	16	10	418	169	+50	-0	+33	+11	+13	10.9
2013	26	MLB MLE	San Francisco Giants	—	595	528	156	34	1	16	52	70	8	2	1	295	367	455	822	159	312	12	9	362	131	+22	+0	+25	+11	+13	7.2
2014	27	MLB MLE	San Francisco Giants	—	605	552	174	28	2	24	42	69	3	0	1	315	367	504	870	188	319	11	7	378	142	+30	-0	+25	+11	+13	8.0
2015	28	MLB MLE	San Francisco Giants	—	623	567	181	28	0	21	46	52	3	2	0	319	373	480	853	160	320	8	7	373	138	+29	+0	+21	+11	+13	7.6
2016	29	MLB MLE	San Francisco Giants	—	614	546	158	33	2	15	57	68	3	6	1	289	360	440	799	150	303	11	9	352	125	+18	+1	+38	+11	+13	8.3
2017	30	MLB MLE	San Francisco Giants	—	568	507	161	34	0	13	48	66	8	6	1	318	385	462	847	144	347	12	8	375	140	+27	+1	+13	+10	+12	6.4
2018	31	MLB MLE	San Francisco Giants	—	448	401	114	22	1	5	42	53	3	3	2	284	357	382	738	97	316	12	9	336	114	+7	-0	+11	+8	+10	3.6
2019	32	MLB MLE	San Francisco Giants	—	445	406	106	24	0	8	33	71	4	0	0	261	323	379	702	118	296	16	7	313	98	-1	+0	+21	+8	+10	3.8
2021	34	MLB MLE	San Francisco Giants	—	454	400	122	23	0	19	51	87	1	0	0	305	385	505	890	200	349	19	11	394	153	+28	+0	+18	+8	+10	6.5
2008	21	ROK MLE	AZL Giants	—	31	29	8	2	1	1	2	6	0	0	0	276	323	517	840	241	318	19	6	362	131	—	—	—	—	—	—
2008	21	ROK RAW	AZL Giants	—	31	26	10	3	1	1	5	4	0	0	0	385	484	692	1.176	308	429	13	16	502	131	—	—	—	—	—	—
2009	22	A+ MLE	3 teams	—	514	456	131	27	1	16	45	94	8	6	1	287	361	456	818	169	328	18	9	354	126	—	—	—	—	—	—
2009	22	A+ RAW	3 teams	—	514	439	139	31	1	18	62	72	8	6	1	317	411	515	925	198	342	14	12	406	126	—	—	—	—	—	—
2010	23	MLB MLE	2 teams	—	651	591	185	35	4	24	45	95	8	1	3	313	370	508	877	195	336	15	7	384	146	+36	-1	+7	+12	+14	6.9
2010	23	MLB RAW	2 teams	—	651	578	184	36	4	24	58	85	8	1	3	318	388	519	907	201	336	13	9	396	146	+36	-1	+7	+12	+14	6.9
2011	24	MLB MLE	San Francisco Giants	—	185	165	47	5	0	4	15	30	4	3	0	285	359	388	747	103	326	16	8	339	116	+3	+1	+7	+3	+4	1.9
2011	24	MLB RAW	San Francisco Giants	—	185	162	46	5	0	4	18	30	4	3	0	284	370	389	758	105	326	16	10	344	116	+3	+1	+7	+3	+4	1.9
2012	25	MLB MLE	San Francisco Giants	—	610	537	182	39	1	26	62	96	2	1	1	339	409	561	970	222	368	16	10	418	169	+50	-0	+33	+11	+13	10.9
2012	25	MLB RAW	San Francisco Giants	—	610	530	178	39	1	24	69	96	2	1	1	336	414	549	963	213	368	16	11	417	169	+50	-0	+33	+11	+13	10.9
2013	26	MLB MLE	San Francisco Giants	—	595	528	156	34	1	16	52	70	8	2	1	295	367	455	822	159	312	12	9	362	131	+22	+0	+25	+11	+13	7.2
2013	26	MLB RAW	San Francisco Giants	—	595	520	153	34	1	15	60	70	8	2	1	294	376	450	826	156	312	12	10	365	131	+22	+0	+25	+11	+13	7.2
2014	27	MLB MLE	San Francisco Giants	—	605	552	174	28	2	24	42	69	3	0	1	315	367	504	870	188	321	11	7	378	142	+30	-0	+25	+11	+13	8.0
2014	27	MLB RAW	San Francisco Giants	—	605	547	170	28	2	22	47	69	3	0	1	311	369	490	858	179	319	11	8	375	142	+30	-0	+25	+11	+13	8.0
2015	28	MLB MLE	San Francisco Giants	—	623	567	181	28	0	21	46	52	3	2	0	319	373	480	853	160	319	8	7	373	138	+29	+0	+21	+11	+13	7.6
2015	28	MLB RAW	San Francisco Giants	—	623	557	177	28	0	19	56	52	3	2	0	318	383	470	853	153	320	8	9	376	138	+29	+0	+21	+11	+13	7.6
2016	29	MLB MLE	San Francisco Giants	—	614	546	158	33	2	15	57	68	3	6	1	289	360	440	799	150	304	11	9	352	125	+18	+1	+38	+11	+13	8.3
2016	29	MLB RAW	San Francisco Giants	—	614	539	155	33	2	14	64	68	3	6	1	288	366	434	800	147	303	11	10	354	125	+18	+1	+38	+11	+13	8.3
2017	30	MLB MLE	San Francisco Giants	—	568	507	161	34	0	13	48	66	8	6	1	318	385	462	847	144	342	12	8	375	140	+27	+1	+13	+10	+12	6.4
2017	30	MLB RAW	San Francisco Giants	—	568	494	158	34	0	12	61	66	8	6	1	320	403	462	865	142	347	12	11	385	140	+27	+1	+13	+10	+12	6.4
2018	31	MLB MLE	San Francisco Giants	—	448	401	114	22	1	5	42	53	3	3	2	284	357	382	738	97	316	12	9	336	114	+7	-0	+11	+8	+10	3.6
2018	31	MLB RAW	San Francisco Giants	—	448	398	113	22	1	5	45	53	3	3	2	284	361	382	743	98	316	12	10	337	114	+7	-0	+11	+8	+10	3.6
2019	32	MLB MLE	San Francisco Giants	—	445	406	106	24	0	8	33	71	4	0	0	261	323	379	702	118	299	16	7	313	98	-1	+0	+21	+8	+10	3.8
2019	32	MLB RAW	San Francisco Giants	—	445	405	104	24	0	7	34	71	4	0	0	257	321	368	688	111	296	16	8	310	98	-1	+0	+21	+8	+10	3.8
2021	34	MLB MLE	San Francisco Giants	—	454	400	122	23	0	19	51	87	1	0	0	305	385	505	890	200	348	19	11	394	153	+28	+0	+18	+8	+10	6.5
2021	34	MLB RAW	San Francisco Giants	—	454	395	120	23	0	18	56	87	1	0	0	304	392	499	890	195	349	19	12	393	153	+28	+0	+18	+8	+10	6.5
2008	21	ROK MLE	AZL Giants	—	31	29	8	2	1	1	2	6	0	0	0	276	323	517	840	241	324	19	6	362	131	—	—	—	—	—	—
2009	22	A+ MLE	3 teams	—	514	456	131	27	1	16	45	94	8	6	1	287	361	456	818	169	324	18	9	354	126	—	—	—	—	—	—
2010	23	MLB MLE	2 teams	—	651	593	185	35	4	24	45	95	8	1	3	312	370	506	875	194	336	15	7	384	146	—	—	—	—	—	—
2011	24	MLB MLE	San Francisco Giants	—	185	164	47	5	0	4	15	30	4	3	0	287	359	390	749	104	326	16	8	339	116	—	—	—	—	—	—
2012	25	MLB MLE	San Francisco Giants	—	610	541	182	39	1	26	62	96	2	1	1	336	409	556	966	220	368	16	10	418	169	—	—	—	—	—	—
2013	26	MLB MLE	San Francisco Giants	—	595	530	156	34	1	16	52	70	8	2	1	294	367	453	820	158	312	12	9	362	131	—	—	—	—	—	—
2014	27	MLB MLE	San Francisco Giants	—	605	555	174	28	2	24	42	69	3	0	1	314	367	501	868	187	319	11	7	378	142	—	—	—	—	—	—
2015	28	MLB MLE	San Francisco Giants	—	623	569	181	28	0	21	46	52	3	2	0	318	373	478	851	160	320	8	7	373	138	—	—	—	—	—	—
2016	29	MLB MLE	San Francisco Giants	—	614	549	158	33	2	15	57	68	3	6	1	288	360	437	797	149	303	11	9	352	125	—	—	—	—	—	—
2017	30	MLB MLE	San Francisco Giants	—	568	507	161	34	0	13	48	66	8	6	1	318	385	462	847	144	347	12	8	375	140	—	—	—	—	—	—
2018	31	MLB MLE	San Francisco Giants	—	448	400	114	22	1	5	42	53	3	3	2	285	357	383	739	98	316	12	9	336	114	—	—	—	—	—	—
2019	32	MLB MLE	San Francisco Giants	—	445	405	106	24	0	8	33	71	4	0	0	262	323	380	703	119	296	16	7	313	98	—	—	—	—	—	—
2021	34	MLB MLE	San Francisco Giants	—	454	399	122	23	0	19	51	87	1	0	0	306	385	506	891	201	349	19	11	394	153	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5607	4970	1500	293	9	158	540	721	43	23	9	302	375	460	835	158	324	13	10	369	135	+239	+1	+221	+113	+121	70.9
/ 162G	—	A+C		—	650	576	174	34	1	18	63	84	5	3	1	302	376	458	834	156	325	13	10	369	135	+28	+0	+26	+13	+14	8.2
Career	—	MLE		—	6343	5685	1725	334	13	192	540	857	55	30	11	303	369	468	838	165	326	14	9	368	135	+239	+1	+221	+113	+121	70.9
/ 162G	—	MLE		—	650	583	177	34	1	20	55	88	6	3	1	304	370	468	838	165	326	14	8	368	135	+28	+0	+26	+13	+14	8.2

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.

2010 AAAFresno Grizzlies · 208 PAwOBA .428 → .395 (−33)K% 14.4% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.42%	÷0.969	×1.290	—	—	19.20%
BB% (unintentional) /PA	12.50%	÷0.981	×0.710	—	×1.050	9.50%
HBP% /PA	1.92%	—	×0.980	—	×1.050	1.98%
Singles /BIP	27.46%	÷0.951	×0.900	×1.020	×1.050	27.82%
Doubles /BIP	9.15%	÷0.910	×0.810	×1.020	×1.050	8.72%
Triples /BIP	1.41%	÷1.022	×0.810	×1.020	×1.050	1.19%
Home runs /BIP	4.23%	÷1.047	×0.780	—	×1.050	3.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 90, 2B 82, 3B 104, K 94, BB 96 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .428 → .395; ISO .203 → .176; BABIP .386 → .379. 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).

2009 A+San Jose Giants · 346 PAwOBA .417 → .368 (−49)K% 13.0% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.01%	÷1.000	×1.340	—	—	17.43%
BB% (unintentional) /PA	13.01%	÷1.000	×0.710	—	×1.012	9.34%
HBP% /PA	2.31%	—	×0.790	—	×1.012	1.85%
Singles /BIP	23.98%	÷1.000	×0.910	×1.050	×1.012	23.19%
Doubles /BIP	9.35%	÷1.000	×0.820	×1.050	×1.012	8.15%
Triples /BIP	0.00%	÷1.000	×0.760	×1.050	×1.012	0.00%
Home runs /BIP	5.28%	÷1.000	×0.920	—	×1.012	4.92%

Factors used: league row CAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .417 → .368; ISO .213 → .194; BABIP .349 → .327. 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).

2009 AAAFresno Grizzlies · 151 PAwOBA .391 → .351 (−40)K% 15.2% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.23%	÷1.000	×1.290	—	—	19.65%
BB% (unintentional) /PA	11.26%	÷1.000	×0.710	—	×1.050	8.39%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	25.93%	÷1.000	×0.900	×1.050	×1.050	25.73%
Doubles /BIP	7.41%	÷1.000	×0.810	×1.050	×1.050	6.62%
Triples /BIP	0.93%	÷1.000	×0.810	×1.050	×1.050	0.83%
Home runs /BIP	4.63%	÷1.000	×0.780	—	×1.050	3.79%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .391 → .351; ISO .191 → .163; BABIP .349 → .335. 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).

2008 ROKAZL Giants · 31 PAwOBA .482 → .362 (−120)K% 12.9% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.90%	÷1.000	×1.440	—	—	18.58%
BB% (unintentional) /PA	12.90%	÷1.000	×0.620	—	×0.985	7.88%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	22.73%	÷1.000	×0.820	—	×0.985	18.36%
Doubles /BIP	13.64%	÷1.000	×0.720	—	×0.985	9.67%
Triples /BIP	4.55%	÷1.000	×0.720	—	×0.985	3.22%
Home runs /BIP	4.55%	÷1.000	×0.780	—	×0.985	3.49%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .482 → .362; ISO .308 → .233; BABIP .429 → .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).