Mike Napoli

Pos1B

B/TR/R

Born1981-10-31

Age (2027)45

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	34	MLBCleveland Ind…	645	.239/.338/.465	34	5	123	1.5
2017	35	MLBTEX	485	.193/.286/.428	29	1	88	-0.8
2018	36	AAACLE	31	.042/.258/.167	1	0	-12	—	.038/.194/.154
2019	37	No MLB games played
2020	38	No MLB games played
2021	39	No MLB games played
2022	40	No MLB games played
2023	41	No MLB games played
2024	42	No MLB games played
2025	43	No MLB games played
2026	44	No MLB games played

Last 3 seasons WAR 0.7

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Barrel%79

xwOBA62

Avg EV47

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.

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)
2005	23	AA	Arkansas Travelers	—	541	439	104	22	2	31	88	140	9	12	4	237	375	508	883	271	267	26	16	385	94	—	—	—	—	—	—
2006	24	MLB	Los Angeles Angels	—	325	268	61	13	0	16	51	90	5	2	3	228	361	455	816	228	276	28	16	364	132	+12	-1	+7	+7	+7	3.4
2006	24	AAA	Salt Lake Bees	—	90	78	19	6	0	3	8	29	4	1	1	244	344	436	780	192	348	32	9	350	62	—	—	—	—	—	—
2007	25	MLB	Los Angeles Angels	—	263	219	54	11	1	10	33	63	5	5	2	247	358	443	801	196	291	24	13	351	120	+6	+0	+3	+5	+6	2.0
2008	26	MLB	Los Angeles Angels	—	274	227	62	9	1	20	35	70	5	7	3	273	382	586	968	313	294	26	13	408	154	+18	+0	-6	+5	+6	2.4
2008	26	A+	Rancho Cucamonga Quakes	—	17	14	8	3	0	1	2	2	0	0	0	571	625	1.000	1.625	429	583	12	12	644	281	—	—	—	—	—	—
2009	27	MLB	Los Angeles Angels	—	432	382	104	22	1	20	40	103	7	3	3	272	352	492	844	220	321	24	9	370	135	+18	-1	-4	+8	+9	3.1
2010	28	MLB	Los Angeles Angels	—	510	453	108	24	1	26	42	137	11	4	2	238	318	468	786	230	279	27	8	344	117	+11	+0	-3	-9	+11	0.9
2011	29	MLB	Texas Rangers	—	432	369	118	25	0	30	58	85	3	4	2	320	416	631	1.048	312	344	20	13	450	176	+39	+0	-8	+8	+9	4.9
2011	29	AAA	Round Rock Express	—	18	15	4	1	0	3	2	4	0	0	0	267	353	933	1.286	667	111	22	11	496	137	—	—	—	—	—	—
2012	30	MLB	Texas Rangers	—	417	352	80	9	2	24	56	125	7	1	0	227	345	469	813	241	273	30	13	359	114	+7	+0	-16	+7	+9	0.7
2013	31	MLB	Boston Red Sox	—	578	498	129	38	2	23	73	187	6	1	1	259	360	482	842	223	367	32	13	372	130	+21	-0	-4	-10	+13	1.9
2014	32	MLB	Boston Red Sox	—	500	415	103	20	0	17	78	133	4	3	2	248	372	419	792	171	321	27	16	356	121	+12	-0	-5	-9	+11	0.9
2015	33	MLB	Texas Rangers	—	469	407	91	20	1	18	57	118	4	3	3	224	325	410	735	187	268	25	12	329	97	-2	-1	-9	-8	+10	-1.0
2016	34	MLB	Cleveland Indians	—	645	557	133	22	1	34	78	194	5	5	1	239	338	465	802	226	296	30	12	353	123	+18	+1	-6	-12	+14	1.5
2017	35	MLB	Texas Rangers	—	485	425	82	11	1	29	49	163	7	1	2	193	286	428	715	235	225	34	10	314	88	-7	-1	-2	-9	+11	-0.8
2018	36	AAA	Columbus Clippers	—	31	24	1	0	0	1	7	11	0	0	0	42	258	167	425	125		35	23	225	-12	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5330	4572	1125	224	11	267	650	1468	69	39	24	246	348	475	824	229	299	28	12	362	131	+197	-2	-53	-16	+115	24.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	23	AA MLE	Arkansas Travelers	—	541	465	90	18	2	25	62	171	9	12	4	194	300	402	703	209	232	32	11	307	94	—	—	—	—	—	—
2006	24	MLB MLE	Los Angeles Angels	—	325	268	61	13	0	16	51	90	5	2	3	228	361	455	816	228	276	28	16	364	132	+12	-1	+7	+7	+7	3.4
2006	24	AAA MLE	Salt Lake Bees	—	90	80	14	4	0	2	6	37	4	1	1	175	267	300	567	125	298	41	7	260	62	—	—	—	—	—	—
2007	25	MLB MLE	Los Angeles Angels	—	263	221	54	11	1	10	31	63	5	5	2	244	350	439	789	195	291	24	12	345	120	+6	+0	+3	+5	+6	2.0
2008	26	MLB MLE	Los Angeles Angels	—	274	232	62	9	1	20	30	70	5	7	3	267	363	573	937	306	294	26	11	395	154	+18	+0	-6	+5	+6	2.4
2008	26	A+ MLE	Rancho Cucamonga Quakes	—	17	15	8	3	0	1	1	3	0	0	0	533	562	933	1.496	400	485	18	6	583	281	—	—	—	—	—	—
2009	27	MLB MLE	Los Angeles Angels	—	432	383	104	22	1	20	39	103	7	3	3	272	350	491	841	219	321	24	9	368	135	+18	-1	-4	+8	+9	3.1
2010	28	MLB MLE	Los Angeles Angels	—	510	455	108	25	1	25	40	137	11	4	2	237	314	462	776	224	279	27	8	342	117	+11	+0	-3	-9	+11	0.9
2011	29	MLB MLE	Texas Rangers	—	432	371	115	23	0	29	56	85	3	4	2	310	405	606	1.011	296	344	20	13	428	176	+39	+0	-8	+8	+9	4.9
2011	29	AAA MLE	Round Rock Express	—	18	16	3	1	0	2	1	5	0	0	0	188	235	625	860	438	82	28	6	371	137	—	—	—	—	—	—
2012	30	MLB MLE	Texas Rangers	—	417	357	78	8	2	23	51	125	7	1	0	218	328	445	773	227	273	30	12	336	114	+7	+0	-16	+7	+9	0.7
2013	31	MLB MLE	Boston Red Sox	—	578	501	125	34	2	24	70	187	6	1	1	250	348	469	817	220	367	32	12	360	130	+21	-0	-4	-10	+13	1.9
2014	32	MLB MLE	Boston Red Sox	—	500	418	100	18	0	17	75	133	4	3	2	239	360	404	764	165	321	27	15	346	121	+12	-0	-5	-9	+11	0.9
2015	33	MLB MLE	Texas Rangers	—	469	410	89	19	1	17	54	118	4	3	3	217	314	393	707	176	268	25	12	311	97	-2	-1	-9	-8	+10	-1.0
2016	34	MLB MLE	Cleveland Indians	—	645	559	133	22	1	34	76	194	5	5	1	238	334	463	798	225	296	30	12	350	123	+18	+1	-6	-12	+14	1.5
2017	35	MLB MLE	Texas Rangers	—	485	429	80	10	1	28	46	163	7	1	2	186	276	410	686	224	225	34	9	298	88	-7	-1	-2	-9	+11	-0.8
2018	36	AAA MLE	Columbus Clippers	—	31	26	1	0	0	1	5	13	0	0	0	38	194	154	347	115		42	16	150	-12	—	—	—	—	—	—
2005	23	AA MLE	Arkansas Travelers	—	541	465	90	18	2	25	62	171	9	12	4	194	300	402	703	209	237	32	11	307	94	—	—	—	—	—	—
2005	23	AA RAW	Arkansas Travelers	—	541	439	104	22	2	31	88	140	9	12	4	237	375	508	883	271	267	26	16	385	94	—	—	—	—	—	—
2006	24	MLB MLE	2 teams	—	415	348	75	17	0	18	57	127	9	3	4	216	341	420	760	204	279	31	14	341	117	+8	-1	+7	+7	+9	3.2
2006	24	MLB RAW	2 teams	—	415	346	80	19	0	19	59	119	9	3	4	231	357	451	808	220	292	29	14	361	117	+8	-1	+7	+7	+9	3.2
2007	25	MLB MLE	Los Angeles Angels	—	263	221	54	11	1	10	31	63	5	5	2	244	350	439	789	195	288	24	12	345	120	+6	+0	+3	+5	+6	2.0
2007	25	MLB RAW	Los Angeles Angels	—	263	219	54	11	1	10	33	63	5	5	2	247	358	443	801	196	291	24	13	351	120	+6	+0	+3	+5	+6	2.0
2008	26	MLB MLE	2 teams	—	291	247	70	12	1	21	31	73	5	7	3	283	375	595	970	312	306	25	11	406	161	+21	+0	-6	+5	+6	2.8
2008	26	MLB RAW	2 teams	—	291	241	70	12	1	21	37	72	5	7	3	290	396	610	1.006	320	316	25	13	422	161	+21	+0	-6	+5	+6	2.8
2009	27	MLB MLE	Los Angeles Angels	—	432	383	104	22	1	20	39	103	7	3	3	272	350	491	841	219	319	24	9	368	135	+18	-1	-4	+8	+9	3.1
2009	27	MLB RAW	Los Angeles Angels	—	432	382	104	22	1	20	40	103	7	3	3	272	352	492	844	220	321	24	9	370	135	+18	-1	-4	+8	+9	3.1
2010	28	MLB MLE	Los Angeles Angels	—	510	455	108	25	1	25	40	137	11	4	2	237	314	462	776	224	279	27	8	342	117	+11	+0	-3	-9	+11	0.9
2010	28	MLB RAW	Los Angeles Angels	—	510	453	108	24	1	26	42	137	11	4	2	238	318	468	786	230	279	27	8	344	117	+11	+0	-3	-9	+11	0.9
2011	29	MLB MLE	2 teams	—	450	387	118	24	0	31	57	90	3	4	2	305	398	607	1.005	302	323	20	13	426	174	+40	+0	-8	+8	+10	5.0
2011	29	MLB RAW	2 teams	—	450	384	122	26	0	33	60	89	3	4	2	318	414	643	1.057	326	336	20	13	451	174	+40	+0	-8	+8	+10	5.0
2012	30	MLB MLE	Texas Rangers	—	417	357	78	8	2	23	51	125	7	1	0	218	328	445	773	227	261	30	12	336	114	+7	+0	-16	+7	+9	0.7
2012	30	MLB RAW	Texas Rangers	—	417	352	80	9	2	24	56	125	7	1	0	227	345	469	813	241	273	30	13	359	114	+7	+0	-16	+7	+9	0.7
2013	31	MLB MLE	Boston Red Sox	—	578	501	125	34	2	24	70	187	6	1	1	250	348	469	817	220	347	32	12	360	130	+21	-0	-4	-10	+13	1.9
2013	31	MLB RAW	Boston Red Sox	—	578	498	129	38	2	23	73	187	6	1	1	259	360	482	842	223	367	32	13	372	130	+21	-0	-4	-10	+13	1.9
2014	32	MLB MLE	Boston Red Sox	—	500	418	100	18	0	17	75	133	4	3	2	239	360	404	764	165	306	27	15	346	121	+12	-0	-5	-9	+11	0.9
2014	32	MLB RAW	Boston Red Sox	—	500	415	103	20	0	17	78	133	4	3	2	248	372	419	792	171	321	27	16	356	121	+12	-0	-5	-9	+11	0.9
2015	33	MLB MLE	Texas Rangers	—	469	410	89	19	1	17	54	118	4	3	3	217	314	393	707	176	261	25	12	311	97	-2	-1	-9	-8	+10	-1.0
2015	33	MLB RAW	Texas Rangers	—	469	407	91	20	1	18	57	118	4	3	3	224	325	410	735	187	268	25	12	329	97	-2	-1	-9	-8	+10	-1.0
2016	34	MLB MLE	Cleveland Indians	—	645	559	133	22	1	34	76	194	5	5	1	238	334	463	798	225	295	30	12	350	123	+18	+1	-6	-12	+14	1.5
2016	34	MLB RAW	Cleveland Indians	—	645	557	133	22	1	34	78	194	5	5	1	239	338	465	802	226	296	30	12	353	123	+18	+1	-6	-12	+14	1.5
2017	35	MLB MLE	Texas Rangers	—	485	429	80	10	1	28	46	163	7	1	2	186	276	410	686	224	216	34	9	298	88	-7	-1	-2	-9	+11	-0.8
2017	35	MLB RAW	Texas Rangers	—	485	425	82	11	1	29	49	163	7	1	2	193	286	428	715	235	225	34	10	314	88	-7	-1	-2	-9	+11	-0.8
2018	36	AAA MLE	Columbus Clippers	—	31	26	1	0	0	1	5	13	0	0	0	38	194	154	347	115		42	16	150	-12	—	—	—	—	—	—
2018	36	AAA RAW	Columbus Clippers	—	31	24	1	0	0	1	7	11	0	0	0	42	258	167	425	125		35	23	225	-12	—	—	—	—	—	—
2005	23	AA MLE	Arkansas Travelers	—	541	465	90	18	2	25	62	171	9	12	4	194	300	402	703	209	232	32	11	307	94	—	—	—	—	—	—
2006	24	MLB MLE	2 teams	—	415	346	75	17	0	18	57	127	9	3	4	217	341	422	763	205	281	31	14	341	117	—	—	—	—	—	—
2007	25	MLB MLE	Los Angeles Angels	—	263	225	54	11	1	10	31	63	5	5	2	240	350	431	781	191	291	24	12	345	120	—	—	—	—	—	—
2008	26	MLB MLE	2 teams	—	291	253	70	12	1	21	31	73	5	7	3	277	375	581	956	304	305	25	11	406	161	—	—	—	—	—	—
2009	27	MLB MLE	Los Angeles Angels	—	432	383	104	22	1	20	39	103	7	3	3	272	350	491	841	219	321	24	9	368	135	—	—	—	—	—	—
2010	28	MLB MLE	Los Angeles Angels	—	510	454	108	25	1	25	40	137	11	4	2	238	314	463	777	225	279	27	8	342	117	—	—	—	—	—	—
2011	29	MLB MLE	2 teams	—	450	387	118	24	0	31	57	90	3	4	2	305	398	607	1.005	302	333	20	13	426	174	—	—	—	—	—	—
2012	30	MLB MLE	Texas Rangers	—	417	356	78	8	2	23	51	125	7	1	0	219	328	447	774	228	273	30	12	336	114	—	—	—	—	—	—
2013	31	MLB MLE	Boston Red Sox	—	578	497	125	34	2	24	70	187	6	1	1	252	348	473	821	221	367	32	12	360	130	—	—	—	—	—	—
2014	32	MLB MLE	Boston Red Sox	—	500	417	100	18	0	17	75	133	4	3	2	240	360	405	765	165	321	27	15	346	121	—	—	—	—	—	—
2015	33	MLB MLE	Texas Rangers	—	469	408	89	19	1	17	54	118	4	3	3	218	314	395	709	176	268	25	12	311	97	—	—	—	—	—	—
2016	34	MLB MLE	Cleveland Indians	—	645	559	133	22	1	34	76	194	5	5	1	238	334	463	798	225	296	30	12	350	123	—	—	—	—	—	—
2017	35	MLB MLE	Texas Rangers	—	485	429	80	10	1	28	46	163	7	1	2	186	276	410	686	224	225	34	9	298	88	—	—	—	—	—	—
2018	36	AAA MLE	Columbus Clippers	—	31	26	1	0	0	1	5	13	0	0	0	38	194	154	347	115		42	16	150	-12	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5330	4572	1125	224	11	267	650	1468	69	39	24	246	348	475	824	229	299	28	12	362	120	+197	-2	-53	-16	+115	24.6
/ 162G	—	A+C		—	650	558	137	27	1	33	79	179	8	5	3	246	347	475	822	229	297	28	12	362	120	+24	-0	-7	-2	+14	3.0
Career	—	MLE		—	6027	5206	1225	240	13	294	694	1697	82	52	29	235	335	456	790	221	286	28	12	346	120	+197	-2	-53	-16	+115	24.6
/ 162G	—	MLE		—	650	561	132	26	1	32	75	183	9	6	3	235	335	456	791	221	285	28	12	346	120	+24	-0	-7	-2	+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.

2018 AAAColumbus Clippers · 31 PAwOBA .220 → .150 (−70)K% 35.5% → 41.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.48%	÷1.017	×1.200	—	—	41.88%
BB% (unintentional) /PA	22.58%	÷0.972	×0.690	—	×0.940	15.06%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	0.00%	÷0.974	×0.930	—	×0.940	0.00%
Doubles /BIP	0.00%	÷0.958	×0.830	—	×0.940	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	7.69%	÷1.135	×0.840	—	×0.940	5.35%

Factors used: league row IL. Park (home-season share, regressed): HR 127, 1B 95, 2B 92, 3B 80, K 103, BB 94 — 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 .220 → .150; ISO .125 → .089; BABIP .000 → .000. 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).

2011 AAARound Rock Express · 18 PAwOBA .508 → .371 (−137)K% 22.2% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.976	×1.290	—	—	29.37%
BB% (unintentional) /PA	11.11%	÷1.004	×0.710	—	×0.972	7.64%
HBP% /PA	0.00%	—	×0.980	—	×0.972	0.00%
Singles /BIP	0.00%	÷1.002	×0.900	—	×0.972	0.00%
Doubles /BIP	9.09%	÷0.970	×0.810	—	×0.972	7.38%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.972	0.00%
Home runs /BIP	27.27%	÷1.087	×0.780	—	×0.972	19.03%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 100, 2B 94, 3B 130, K 95, BB 101 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .508 → .371; ISO .667 → .487; BABIP .111 → .082. 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 A+Rancho Cucamonga Quakes · 17 PAwOBA .665 → .583 (−82)K% 11.8% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.000	×1.340	—	—	15.76%
BB% (unintentional) /PA	11.76%	÷1.000	×0.710	—	×0.958	8.00%
HBP% /PA	0.00%	—	×0.790	—	×0.958	0.00%
Singles /BIP	33.33%	÷1.000	×0.910	—	×0.958	29.06%
Doubles /BIP	25.00%	÷1.000	×0.820	—	×0.958	19.64%
Triples /BIP	0.00%	÷1.000	×0.760	—	×0.958	0.00%
Home runs /BIP	8.33%	÷1.000	×0.920	—	×0.958	7.34%

Factors used: league row CAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 .665 → .583; ISO .429 → .386; BABIP .583 → .485. 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).

2006 AAASalt Lake Bees · 90 PAwOBA .341 → .260 (−81)K% 32.2% → 41.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.22%	÷1.000	×1.290	—	—	41.57%
BB% (unintentional) /PA	8.89%	÷1.000	×0.710	—	×1.033	6.52%
HBP% /PA	4.44%	—	×0.980	—	×1.033	4.50%
Singles /BIP	20.41%	÷1.000	×0.900	×0.970	×1.033	18.40%
Doubles /BIP	12.24%	÷1.000	×0.810	×0.970	×1.033	9.94%
Triples /BIP	0.00%	÷1.000	×0.810	×0.970	×1.033	0.00%
Home runs /BIP	6.12%	÷1.000	×0.780	—	×1.033	4.93%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .341 → .260; ISO .192 → .135; BABIP .348 → .298. 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).

2005 AAArkansas Travelers · 541 PAwOBA .378 → .307 (−71)K% 25.9% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.88%	÷1.000	×1.220	—	—	31.57%
BB% (unintentional) /PA	16.08%	÷1.000	×0.700	—	×1.012	11.39%
HBP% /PA	1.66%	—	×0.870	—	×1.012	1.46%
Singles /BIP	16.39%	÷1.000	×0.920	×0.978	×1.012	14.92%
Doubles /BIP	7.36%	÷1.000	×0.840	×0.978	×1.012	6.11%
Triples /BIP	0.67%	÷1.000	×0.940	×0.978	×1.012	0.62%
Home runs /BIP	10.37%	÷1.000	×0.800	—	×1.012	8.39%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.978.

Result: wOBA .378 → .307; ISO .271 → .223; BABIP .267 → .232. 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).