Yasiel Puig

PosRF

B/TR/R

Born1990-12-07

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	32	INTLVenezuela	202	.329/.426/.607	12	3	190	—
2024	33	INTLTiburones de …	72	.242/.338/.403	2	2	110	—
2025	34	INTLNavegantes de…	97	.282/.351/.447	3	0	120	—

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA83

Speed68

Barrel%60

Avg EV53

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	21	A+	Rancho Cucamonga Quakes	—	59	52	17	2	0	1	6	8	1	7	4	327	407	423	830	96	372	14	10	377	97	—	—	—	—	—	—
2012	21	ROK	AZL Dodgers	—	36	30	12	0	3	4	6	7	0	1	1	400	500	1.000	1.500	600	421	19	17	608	175	—	—	—	—	—	—
2012	21	INTL	Indios de Mayaguez	—	78	69	16	4	0	1	7	19	1	4	2	232	312	333	645	101	300	24	9	292	84	—	—	—	—	—	—
2013	22	MLB	Los Angeles Dodgers	—	432	382	122	21	2	19	36	97	11	11	8	319	394	534	928	215	383	22	8	406	158	+30	-1	-2	-6	+9	3.0
2013	22	AA	Chattanooga Lookouts	—	167	147	46	12	3	8	15	29	3	13	5	313	388	599	987	286	339	17	9	421	130	—	—	—	—	—	—
2014	23	MLB	Los Angeles Dodgers	—	640	558	165	37	9	16	67	124	12	11	7	296	383	480	863	185	356	19	10	381	150	+38	-1	-5	-7	+14	4.0
2015	24	MLB	Los Angeles Dodgers	—	311	282	72	12	3	11	26	66	2	3	3	255	323	436	759	181	296	21	8	336	116	+6	-1	-1	-3	+7	0.8
2015	24	A+	Rancho Cucamonga Quakes	—	15	14	4	1	0	2	1	4	0	0	1	286	333	786	1.119	500	250	27	7	470	132	—	—	—	—	—	—
2016	25	MLB	Los Angeles Dodgers	—	368	334	88	14	2	11	24	74	7	5	2	263	326	416	742	153	306	20	7	329	113	+6	+0	+2	-5	+8	1.1
2016	25	AAA	Oklahoma City Dodgers	—	75	69	24	3	1	4	6	8	0	0	1	348	400	594	994	246	351	11	8	433	130	—	—	—	—	—	—
2016	25	A+	Rancho Cucamonga Quakes	—	15	12	5	0	0	1	3	3	0	1	2	417	533	667	1.200	250	500	20	20	520	160	—	—	—	—	—	—
2017	26	MLB	Los Angeles Dodgers	—	570	499	131	24	2	28	64	100	2	15	6	263	349	487	836	224	274	18	11	365	129	+20	+1	-3	-6	+12	2.4
2018	27	MLB	Los Angeles Dodgers	—	444	405	108	21	1	23	36	87	1	15	5	267	328	494	822	227	286	20	8	359	129	+15	+1	-4	-5	+10	1.7
2019	28	MLB	Cleveland Indians	—	611	555	148	30	2	24	44	133	8	19	7	267	329	458	787	191	308	22	7	346	120	+14	+1	+3	-7	+13	2.6
2020	29	INTL	Toros del Este	—	20	13	3	1	0	0	7	6	0	0	0	231	500	308	808	77	429	30	35	399	156	—	—	—	—	—	—
2021	30	INTL	Toros del Este	—	47	41	7	1	0	1	5	6	0	0	0	171	261	268	529	98	171	13	11	242	50	—	—	—	—	—	—
2023	32	INTL	Venezuela	—	202	173	57	10	1	12	25	36	4	3	2	329	426	607	1.033	277	360	18	12	448	190	—	—	—	—	—	—
2024	33	INTL	Tiburones de La Guaira	—	72	62	15	4	0	2	6	16	3	2	0	242	338	403	741	161	289	22	8	331	110	—	—	—	—	—	—
2025	34	INTL	Navegantes del Magallanes	—	97	85	24	5	0	3	7	21	2	0	2	282	351	447	798	165	328	22	7	345	120	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3376	3015	834	159	21	132	297	681	43	79	38	277	350	475	825	198	316	20	9	363	131	+127	+1	-10	-39	+73	15.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	A+ MLE	Rancho Cucamonga Quakes	—	59	54	16	2	0	1	4	11	1	7	4	296	356	389	745	93	338	19	7	311	97	—	—	—	—	—	—
2012	21	ROK MLE	AZL Dodgers	—	36	33	9	0	2	3	3	10	0	1	1	273	333	667	1.000	394	306	28	8	427	175	—	—	—	—	—	—
2013	22	MLB MLE	Los Angeles Dodgers	—	432	388	123	22	2	18	30	97	11	11	8	317	382	523	905	206	383	22	7	401	158	+30	-1	-2	-6	+9	3.0
2013	22	AA MLE	Chattanooga Lookouts	—	167	154	43	11	3	7	8	35	3	13	5	279	327	526	853	247	309	21	5	360	130	—	—	—	—	—	—
2014	23	MLB MLE	Los Angeles Dodgers	—	640	561	169	39	11	15	64	124	12	11	7	301	385	490	875	189	356	19	10	389	150	+38	-1	-5	-7	+14	4.0
2015	24	MLB MLE	Los Angeles Dodgers	—	311	283	74	13	4	11	25	66	2	3	3	261	326	452	778	191	296	21	8	340	116	+6	-1	-1	-3	+7	0.8
2015	24	A+ MLE	Rancho Cucamonga Quakes	—	15	14	4	1	0	2	1	6	0	0	1	286	333	786	1.119	500	197	40	7	364	132	—	—	—	—	—	—
2016	25	MLB MLE	Los Angeles Dodgers	—	368	334	90	15	2	11	24	74	7	5	2	269	332	425	757	156	306	20	7	335	113	+6	+0	+2	-5	+8	1.1
2016	25	AAA MLE	Oklahoma City Dodgers	—	75	71	22	3	1	3	4	11	0	0	1	310	347	507	854	197	320	15	5	360	130	—	—	—	—	—	—
2016	25	A+ MLE	Rancho Cucamonga Quakes	—	15	13	4	0	0	1	2	4	0	1	2	308	400	538	938	231	417	27	13	405	160	—	—	—	—	—	—
2017	26	MLB MLE	Los Angeles Dodgers	—	570	507	132	25	2	27	56	100	2	15	6	260	336	477	814	217	274	18	10	360	129	+20	+1	-3	-6	+12	2.4
2018	27	MLB MLE	Los Angeles Dodgers	—	444	407	109	22	1	22	34	87	1	15	5	268	326	489	815	221	286	20	8	359	129	+15	+1	-4	-5	+10	1.7
2019	28	MLB MLE	Cleveland Indians	—	611	556	148	30	2	24	43	133	8	19	7	266	328	457	785	191	308	22	7	345	120	+14	+1	+3	-7	+13	2.6
2012	21	INTL MLE	3 teams	—	173	157	44	3	4	7	13	38	2	12	7	280	343	484	827	204	327	22	8	355	126	—	—	—	—	—	—
2012	21	INTL RAW	3 teams	—	173	151	45	6	3	6	19	34	2	12	7	298	384	497	880	199	348	20	11	387	126	—	—	—	—	—	—
2013	22	MLB MLE	2 teams	—	599	542	166	33	5	25	38	132	14	24	13	306	367	524	891	218	362	22	6	390	150	+36	-0	-2	-6	+13	4.0
2013	22	MLB RAW	2 teams	—	599	529	168	33	5	27	51	126	14	24	13	318	392	552	944	234	370	21	9	410	150	+36	-0	-2	-6	+13	4.0
2014	23	MLB MLE	Los Angeles Dodgers	—	640	561	169	39	11	15	64	124	12	11	7	301	385	490	875	189	364	19	10	389	150	+38	-1	-5	-7	+14	4.0
2014	23	MLB RAW	Los Angeles Dodgers	—	640	558	165	37	9	16	67	124	12	11	7	296	383	480	863	185	356	19	10	381	150	+38	-1	-5	-7	+14	4.0
2015	24	MLB MLE	2 teams	—	326	297	76	13	4	12	26	72	2	3	4	256	320	448	768	192	299	22	8	341	117	+7	-1	-1	-3	+7	0.8
2015	24	MLB RAW	2 teams	—	326	296	76	13	3	13	27	70	2	3	4	257	323	453	776	196	294	21	8	342	117	+7	-1	-1	-3	+7	0.8
2016	25	MLB MLE	3 teams	—	458	418	115	17	3	15	30	89	7	6	5	275	334	438	772	163	315	19	7	341	117	+9	-1	+2	-5	+10	1.6
2016	25	MLB RAW	3 teams	—	458	415	117	17	3	16	33	85	7	6	5	282	345	453	798	171	319	19	7	352	117	+9	-1	+2	-5	+10	1.6
2017	26	MLB MLE	Los Angeles Dodgers	—	570	507	132	25	2	27	56	100	2	15	6	260	336	477	814	217	273	18	10	360	129	+20	+1	-3	-6	+12	2.4
2017	26	MLB RAW	Los Angeles Dodgers	—	570	499	131	24	2	28	64	100	2	15	6	263	349	487	836	224	274	18	11	365	129	+20	+1	-3	-6	+12	2.4
2018	27	MLB MLE	Los Angeles Dodgers	—	444	407	109	22	1	22	34	87	1	15	5	268	326	489	815	221	290	20	8	359	129	+15	+1	-4	-5	+10	1.7
2018	27	MLB RAW	Los Angeles Dodgers	—	444	405	108	21	1	23	36	87	1	15	5	267	328	494	822	227	286	20	8	359	129	+15	+1	-4	-5	+10	1.7
2019	28	MLB MLE	Cleveland Indians	—	611	556	148	30	2	24	43	133	8	19	7	266	328	457	785	191	308	22	7	345	120	+14	+1	+3	-7	+13	2.6
2019	28	MLB RAW	Cleveland Indians	—	611	555	148	30	2	24	44	133	8	19	7	267	329	458	787	191	308	22	7	346	120	+14	+1	+3	-7	+13	2.6
2020	29	INTL MLE	Toros del Este	—	20	13	3	1	0	0	7	6	0	0	0	231	500	308	808	77	429	30	35	—	—	—	—	—	—	—	—
2020	29	INTL RAW	Toros del Este	—	20	13	3	1	0	0	7	6	0	0	0	231	500	308	808	77	429	30	35	399	156	—	—	—	—	—	—
2021	30	INTL MLE	Toros del Este	—	47	41	7	1	0	1	5	6	0	0	0	171	261	268	529	98	171	13	11	—	—	—	—	—	—	—	—
2021	30	INTL RAW	Toros del Este	—	47	41	7	1	0	1	5	6	0	0	0	171	261	268	529	98	171	13	11	242	50	—	—	—	—	—	—
2023	32	INTL MLE	Venezuela	—	202	173	57	10	1	12	25	36	4	3	2	329	426	607	1.033	277	360	18	12	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Venezuela	—	202	173	57	10	1	12	25	36	4	3	2	329	426	607	1.033	277	360	18	12	448	190	—	—	—	—	—	—
2024	33	INTL MLE	Tiburones de La Guaira	—	72	62	15	4	0	2	6	16	3	2	0	242	338	403	741	161	289	22	8	—	—	—	—	—	—	—	—
2024	33	INTL RAW	Tiburones de La Guaira	—	72	62	15	4	0	2	6	16	3	2	0	242	338	403	741	161	289	22	8	331	110	—	—	—	—	—	—
2025	34	INTL MLE	Navegantes del Magallanes	—	97	85	24	5	0	3	7	21	2	0	2	282	351	447	798	165	328	22	7	—	—	—	—	—	—	—	—
2025	34	INTL RAW	Navegantes del Magallanes	—	97	85	24	5	0	3	7	21	2	0	2	282	351	447	798	165	328	22	7	345	120	—	—	—	—	—	—
2012	21	INTL MLE	3 teams	—	173	156	44	3	4	7	13	38	2	12	7	282	343	487	830	205	326	22	8	355	126	—	—	—	—	—	—
2013	22	MLB MLE	2 teams	—	599	542	166	33	5	25	38	132	14	24	13	306	367	524	891	218	362	22	6	390	150	—	—	—	—	—	—
2014	23	MLB MLE	Los Angeles Dodgers	—	640	559	169	39	11	15	64	124	12	11	7	302	385	492	877	190	356	19	10	389	150	—	—	—	—	—	—
2015	24	MLB MLE	2 teams	—	326	295	76	13	4	12	26	72	2	3	4	258	320	451	771	193	292	22	8	341	117	—	—	—	—	—	—
2016	25	MLB MLE	3 teams	—	458	418	115	17	3	15	30	89	7	6	5	275	334	438	772	163	312	19	7	341	117	—	—	—	—	—	—
2017	26	MLB MLE	Los Angeles Dodgers	—	570	507	132	25	2	27	56	100	2	15	6	260	336	477	814	217	274	18	10	360	129	—	—	—	—	—	—
2018	27	MLB MLE	Los Angeles Dodgers	—	444	406	109	22	1	22	34	87	1	15	5	268	326	490	816	222	286	20	8	359	129	—	—	—	—	—	—
2019	28	MLB MLE	Cleveland Indians	—	611	555	148	30	2	24	43	133	8	19	7	267	328	458	785	191	308	22	7	345	120	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3376	3015	834	159	21	132	297	681	43	79	38	277	350	475	825	198	316	20	9	363	106	+127	+1	-10	-39	+73	15.4
/ 162G	—	A+C		—	650	580	161	31	4	25	57	131	8	15	7	278	350	474	824	197	318	20	9	363	106	+24	+0	-2	-8	+14	3.0
Career	—	MLE		—	4259	3819	1065	203	33	165	354	860	57	110	58	279	349	479	828	200	319	20	8	326	106	+127	+1	-10	-39	+73	15.4
/ 162G	—	MLE		—	650	583	162	31	5	25	54	131	9	17	9	278	348	477	825	199	318	20	8	326	106	+24	+0	-2	-8	+14	3.0

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.

2016 AAAOklahoma City Dodgers · 75 PAwOBA .421 → .360 (−61)K% 10.7% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.67%	÷0.972	×1.290	—	—	14.15%
BB% (unintentional) /PA	8.00%	÷1.059	×0.710	—	×1.018	5.46%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	26.23%	÷1.017	×0.900	×1.041	×1.018	24.59%
Doubles /BIP	4.92%	÷0.975	×0.810	×1.041	×1.018	4.33%
Triples /BIP	1.64%	÷1.104	×0.810	×1.041	×1.018	1.27%
Home runs /BIP	6.56%	÷0.947	×0.780	—	×1.018	5.50%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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 ×1.041.

Result: wOBA .421 → .360; ISO .246 → .204; BABIP .351 → .320. 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+Rancho Cucamonga Quakes · 15 PAwOBA .506 → .405 (−101)K% 20.0% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.979	×1.340	—	—	27.37%
BB% (unintentional) /PA	20.00%	÷1.046	×0.710	—	×0.968	13.14%
HBP% /PA	0.00%	—	×0.790	—	×0.968	0.00%
Singles /BIP	44.44%	÷1.043	×0.910	—	×0.968	37.54%
Doubles /BIP	0.00%	÷0.938	×0.820	—	×0.968	0.00%
Triples /BIP	0.00%	÷1.142	×0.760	—	×0.968	0.00%
Home runs /BIP	11.11%	÷1.003	×0.920	—	×0.968	9.86%

Factors used: league row CAL. Park (home-season share, regressed): HR 101, 1B 109, 2B 88, 3B 128, K 96, BB 109 — 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 .506 → .405; ISO .250 → .220; BABIP .500 → .417. 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+Rancho Cucamonga Quakes · 15 PAwOBA .455 → .364 (−91)K% 26.7% → 36.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.970	×1.340	—	—	36.84%
BB% (unintentional) /PA	6.67%	÷0.958	×0.710	—	×0.978	4.83%
HBP% /PA	0.00%	—	×0.790	—	×0.978	0.00%
Singles /BIP	10.00%	÷1.046	×0.910	—	×0.978	8.51%
Doubles /BIP	10.00%	÷1.109	×0.820	—	×0.978	7.23%
Triples /BIP	0.00%	÷1.150	×0.760	—	×0.978	0.00%
Home runs /BIP	20.00%	÷0.898	×0.920	—	×0.978	20.03%

Factors used: league row CAL. Park (home-season share, regressed): HR 80, 1B 109, 2B 122, 3B 130, K 94, BB 92 — 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 .455 → .364; ISO .500 → .421; BABIP .250 → .197. 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 AAChattanooga Lookouts · 167 PAwOBA .410 → .360 (−49)K% 17.4% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.37%	÷1.006	×1.220	—	—	21.06%
BB% (unintentional) /PA	7.19%	÷1.118	×0.680	—	×1.027	4.49%
HBP% /PA	1.80%	—	×0.840	—	×1.027	1.55%
Singles /BIP	19.49%	÷1.053	×0.920	×1.050	×1.027	18.36%
Doubles /BIP	10.17%	÷1.080	×0.910	×1.050	×1.027	9.24%
Triples /BIP	2.54%	÷1.135	×0.880	×1.050	×1.027	2.13%
Home runs /BIP	6.78%	÷1.001	×0.800	—	×1.027	5.57%

Factors used: league row SL. Park (home-season share, regressed): HR 100, 1B 111, 2B 116, 3B 127, K 101, BB 124 — 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 ×1.050.

Result: wOBA .410 → .360; ISO .286 → .250; BABIP .339 → .309. 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+Rancho Cucamonga Quakes · 59 PAwOBA .367 → .311 (−57)K% 13.6% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.56%	÷0.985	×1.340	—	—	18.45%
BB% (unintentional) /PA	10.17%	÷1.038	×0.710	—	×1.012	7.04%
HBP% /PA	1.69%	—	×0.790	—	×1.012	1.36%
Singles /BIP	31.82%	÷1.007	×0.910	—	×1.012	29.10%
Doubles /BIP	4.55%	÷0.941	×0.820	—	×1.012	4.01%
Triples /BIP	0.00%	÷0.993	×0.760	—	×1.012	0.00%
Home runs /BIP	2.27%	÷1.086	×0.920	—	×1.012	1.95%

Factors used: league row CAL. Park (home-season share, regressed): HR 117, 1B 101, 2B 88, 3B 99, K 97, BB 108 — 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 .367 → .311; ISO .096 → .082; BABIP .372 → .338. 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 ROKAZL Dodgers · 36 PAwOBA .588 → .427 (−161)K% 19.4% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.44%	÷1.000	×1.440	—	—	28.00%
BB% (unintentional) /PA	13.89%	÷1.000	×0.620	—	×0.975	8.40%
HBP% /PA	0.00%	—	×0.720	—	×0.975	0.00%
Singles /BIP	21.74%	÷1.000	×0.820	—	×0.975	17.38%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.975	0.00%
Triples /BIP	13.04%	÷1.000	×0.720	—	×0.975	9.16%
Home runs /BIP	17.39%	÷1.000	×0.780	—	×0.975	13.23%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .588 → .427; ISO .600 → .443; BABIP .421 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .