L.J. Mazzilli

Pos2B

B/TR/R

Born1990-09-06

Age (2027)36

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	25	AAA/AA2 orgs	475	.239/.323/.348	5	8	60	—	.218/.276/.308
2017	26	AAA/AA2 orgs	426	.254/.342/.362	5	9	64	—	.223/.287/.298
2018	27	AAAScranton/Wilk…	265	.246/.321/.403	7	2	63	—	.210/.267/.337

Contract

No contract data on file.

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)
2014	23	A+	St. Lucie Mets	—	274	250	78	20	2	4	16	33	5	3	3	312	365	456	821	144	344	12	6	362	99	—	—	—	—	—	—
2014	23	A	Savannah Sand Gnats	—	284	250	73	9	2	7	29	48	1	11	1	292	368	428	796	136	332	17	10	352	77	—	—	—	—	—	—
2014	23	INTL	Scottsdale Scorpions	—	60	49	15	3	1	1	9	12	2	1	1	306	433	469	903	163	389	20	15	406	161	—	—	—	—	—	—
2015	24	AA	Binghamton Mets	—	374	334	87	19	2	0	36	56	3	5	2	260	338	329	667	69	312	15	10	307	57	—	—	—	—	—	—
2015	24	A+	St. Lucie Mets	—	23	22	5	2	0	1	1	4	0	0	0	227	261	455	715	227	235	17	4	311	38	—	—	—	—	—	—
2015	24	INTL	Salt River Rafters	—	34	29	4	2	0	0	4	5	0	1	0	138	242	207	449	69	160	15	12	211	29	—	—	—	—	—	—
2016	25	AAA	Las Vegas 51s	—	55	48	11	5	0	1	4	7	0	1	1	229	288	396	684	167	233	13	7	288	53	—	—	—	—	—	—
2016	25	AA	Binghamton Mets	—	420	366	88	13	6	4	48	66	0	7	3	240	328	342	669	101	281	16	11	302	61	—	—	—	—	—	—
2017	26	AAA	Las Vegas 51s	—	55	46	10	3	0	1	7	13	0	2	0	217	315	348	663	130	281	24	13	295	38	—	—	—	—	—	—
2017	26	AA	Binghamton Rumble Ponies	—	371	324	84	20	1	4	40	53	3	7	2	259	346	364	710	105	296	14	11	321	68	—	—	—	—	—	—
2018	27	AAA	Scranton/Wilkes-Barre RailRiders	—	265	236	58	16	0	7	22	45	4	2	2	246	321	403	723	157	274	17	8	321	63	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	23	A+ MLE	St. Lucie Mets	—	274	255	71	21	1	3	11	48	5	3	3	278	321	404	725	125	324	18	4	315	99	—	—	—	—	—	—
2014	23	A MLE	Savannah Sand Gnats	—	284	261	63	7	2	6	18	63	1	11	1	241	293	352	645	111	288	22	6	282	77	—	—	—	—	—	—
2015	24	AA MLE	Binghamton Mets	—	374	345	77	15	2	0	25	70	3	5	2	223	282	278	560	55	278	19	7	252	57	—	—	—	—	—	—
2015	24	A+ MLE	St. Lucie Mets	—	23	22	5	2	0	1	1	6	0	0	0	227	261	455	715	227	202	26	4	225	38	—	—	—	—	—	—
2016	25	AAA MLE	Las Vegas 51s	—	55	49	10	4	0	1	3	9	0	1	1	204	250	347	597	143	198	16	5	247	53	—	—	—	—	—	—
2016	25	AA MLE	Binghamton Mets	—	420	383	84	11	6	3	32	76	0	7	3	219	280	303	582	84	259	18	8	259	61	—	—	—	—	—	—
2017	26	AAA MLE	Las Vegas 51s	—	55	49	8	2	0	1	5	18	0	2	0	163	241	265	506	102	244	33	9	225	38	—	—	—	—	—	—
2017	26	AA MLE	Binghamton Rumble Ponies	—	371	337	78	16	1	2	27	62	3	7	2	231	294	303	597	71	272	17	7	269	68	—	—	—	—	—	—
2018	27	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	265	243	51	13	0	6	15	54	4	2	2	210	267	337	605	128	240	20	6	262	63	—	—	—	—	—	—
2014	23	A MLE	3 teams	—	618	571	149	31	4	10	32	123	8	15	5	261	309	382	691	121	313	20	5	298	88	—	—	—	—	—	—
2014	23	A RAW	3 teams	—	618	549	166	32	5	12	54	93	8	15	5	302	373	444	818	142	342	15	9	362	88	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	431	398	88	18	2	1	28	83	3	6	2	221	277	284	561	63	275	19	6	250	56	—	—	—	—	—	—
2015	24	AA RAW	3 teams	—	431	385	96	23	2	1	41	65	3	6	2	249	326	327	654	78	296	15	10	299	56	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	475	432	94	15	6	4	35	85	0	8	4	218	276	308	584	90	258	18	7	258	60	—	—	—	—	—	—
2016	25	AA RAW	2 teams	—	475	414	99	18	6	5	52	73	0	8	4	239	323	348	671	109	275	15	11	301	60	—	—	—	—	—	—
2017	26	AA MLE	2 teams	—	426	386	87	19	1	3	32	80	3	9	2	225	290	303	593	78	275	19	8	263	64	—	—	—	—	—	—
2017	26	AA RAW	2 teams	—	426	370	94	23	1	5	47	66	3	9	2	254	342	362	704	108	295	15	11	318	64	—	—	—	—	—	—
2018	27	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	265	243	51	13	0	6	15	54	4	2	2	210	267	337	605	128	243	20	6	262	63	—	—	—	—	—	—
2018	27	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	265	236	58	16	0	7	22	45	4	2	2	246	321	403	723	157	274	17	8	321	63	—	—	—	—	—	—
2014	23	A MLE	3 teams	—	618	573	149	31	4	10	32	123	8	15	5	260	309	380	690	120	306	20	5	298	88	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	431	397	88	18	2	1	28	83	3	6	2	222	277	285	562	63	274	19	6	250	56	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	475	437	94	15	6	4	35	85	0	8	4	215	276	304	581	89	252	18	7	258	60	—	—	—	—	—	—
2017	26	AA MLE	2 teams	—	426	388	87	19	1	3	32	80	3	9	2	224	290	302	591	77	268	19	8	263	64	—	—	—	—	—	—
2018	27	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	265	244	51	13	0	6	15	54	4	2	2	209	267	336	603	127	240	20	6	262	63	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2215	2030	469	96	13	24	142	425	18	40	15	231	287	327	614	96	278	19	6	269	68	-84	+2	+0	+8	+48	-2.6
/ 162G	—	MLE		—	650	596	138	28	4	7	42	125	5	12	4	232	288	327	615	96	279	19	6	269	68	-25	+1	+0	+2	+14	-0.7

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.

2018 AAAScranton/Wilkes-Barre RailRiders · 265 PAwOBA .315 → .262 (−53)K% 17.0% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.98%	÷1.002	×1.200	—	—	20.35%
BB% (unintentional) /PA	8.30%	÷1.034	×0.690	—	×0.992	5.49%
HBP% /PA	1.51%	—	×0.940	—	×0.992	1.41%
Singles /BIP	18.32%	÷1.032	×0.930	×1.012	×0.992	16.58%
Doubles /BIP	8.38%	÷1.004	×0.830	×1.012	×0.992	6.95%
Triples /BIP	0.00%	÷1.130	×0.970	×1.012	×0.992	0.00%
Home runs /BIP	3.66%	÷1.046	×0.840	—	×0.992	2.92%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 106, 2B 101, 3B 126, K 100, BB 107 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .315 → .262; ISO .157 → .128; BABIP .274 → .240. 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).

2017 AABinghamton Rumble Ponies · 371 PAwOBA .315 → .269 (−46)K% 14.3% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.046	×1.220	—	—	16.67%
BB% (unintentional) /PA	10.51%	÷0.986	×0.700	—	×0.978	7.30%
HBP% /PA	0.81%	—	×0.850	—	×0.978	0.67%
Singles /BIP	21.77%	÷0.971	×0.970	×0.994	×0.978	21.14%
Doubles /BIP	7.38%	÷1.056	×0.860	×0.994	×0.978	5.84%
Triples /BIP	0.37%	÷1.150	×0.950	×0.994	×0.978	0.30%
Home runs /BIP	1.48%	÷1.365	×0.780	—	×0.978	0.82%

Factors used: league row EL. Park (home-season share, regressed): HR 173, 1B 94, 2B 111, 3B 130, K 109, BB 97 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .315 → .269; ISO .105 → .077; BABIP .296 → .272. 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).

2017 AAALas Vegas 51s · 55 PAwOBA .288 → .225 (−64)K% 23.6% → 32.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.64%	÷0.948	×1.290	—	—	32.16%
BB% (unintentional) /PA	12.73%	÷1.015	×0.710	—	×1.003	8.93%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	18.18%	÷0.994	×0.900	—	×1.003	16.51%
Doubles /BIP	9.09%	÷0.998	×0.810	—	×1.003	7.40%
Triples /BIP	0.00%	÷1.111	×0.810	—	×1.003	0.00%
Home runs /BIP	3.03%	÷1.209	×0.780	—	×1.003	1.96%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .288 → .225; ISO .130 → .094; BABIP .281 → .244. 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 AABinghamton Mets · 420 PAwOBA .295 → .259 (−37)K% 15.7% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.71%	÷1.062	×1.220	—	—	18.05%
BB% (unintentional) /PA	10.95%	÷0.996	×0.700	—	×0.988	7.61%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	21.67%	÷1.034	×0.970	×1.015	×0.988	20.38%
Doubles /BIP	4.33%	÷1.070	×0.860	×1.015	×0.988	3.49%
Triples /BIP	2.00%	÷0.956	×0.950	×1.015	×0.988	1.99%
Home runs /BIP	1.33%	÷1.085	×0.780	—	×0.988	0.95%

Factors used: league row EL. Park (home-season share, regressed): HR 117, 1B 107, 2B 114, 3B 91, K 112, BB 99 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .295 → .259; ISO .101 → .088; BABIP .281 → .259. 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 AAALas Vegas 51s · 55 PAwOBA .296 → .247 (−49)K% 12.7% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.73%	÷0.971	×1.290	—	—	16.91%
BB% (unintentional) /PA	7.27%	÷0.962	×0.710	—	×1.018	5.46%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	12.20%	÷0.994	×0.900	×1.032	×1.018	11.60%
Doubles /BIP	12.20%	÷1.128	×0.810	×1.032	×1.018	9.20%
Triples /BIP	0.00%	÷0.980	×0.810	×1.032	×1.018	0.00%
Home runs /BIP	2.44%	÷1.088	×0.780	—	×1.018	1.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 99, 2B 126, 3B 96, K 94, BB 92 — 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 ×1.032.

Result: wOBA .296 → .247; ISO .167 → .129; BABIP .233 → .198. 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 AABinghamton Mets · 374 PAwOBA .300 → .252 (−48)K% 15.0% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.97%	÷0.974	×1.220	—	—	18.76%
BB% (unintentional) /PA	9.63%	÷0.988	×0.700	—	×0.998	6.80%
HBP% /PA	0.80%	—	×0.850	—	×0.998	0.68%
Singles /BIP	23.74%	÷1.030	×0.970	×0.970	×0.998	21.65%
Doubles /BIP	6.83%	÷1.034	×0.860	×0.970	×0.998	5.50%
Triples /BIP	0.72%	÷0.900	×0.950	×0.970	×0.998	0.73%
Home runs /BIP	0.00%	÷1.088	×0.780	—	×0.998	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 118, 1B 106, 2B 107, 3B 80, K 95, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .300 → .252; ISO .069 → .058; BABIP .312 → .278. 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+St. Lucie Mets · 23 PAwOBA .302 → .225 (−77)K% 17.4% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷0.992	×1.420	—	—	24.89%
BB% (unintentional) /PA	4.35%	÷1.023	×0.750	—	×0.978	3.12%
HBP% /PA	0.00%	—	×0.930	—	×0.978	0.00%
Singles /BIP	11.11%	÷1.049	×0.920	—	×0.978	9.53%
Doubles /BIP	11.11%	÷1.055	×0.960	—	×0.978	9.89%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.978	0.00%
Home runs /BIP	5.56%	÷1.269	×0.880	—	×0.978	3.77%

Factors used: league row FSL. Park (home-season share, regressed): HR 154, 1B 110, 2B 111, 3B 80, K 98, BB 105 — 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 .302 → .225; ISO .227 → .160; BABIP .235 → .202. 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).

2014 ASavannah Sand Gnats · 284 PAwOBA .348 → .282 (−66)K% 16.9% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.90%	÷1.018	×1.340	—	—	22.25%
BB% (unintentional) /PA	10.21%	÷1.053	×0.660	—	×0.980	6.27%
HBP% /PA	0.35%	—	×0.770	—	×0.980	0.27%
Singles /BIP	27.23%	÷1.017	×0.920	×0.991	×0.980	23.91%
Doubles /BIP	4.46%	÷0.984	×0.820	×0.991	×0.980	3.61%
Triples /BIP	0.99%	÷0.908	×0.940	×0.991	×0.980	1.00%
Home runs /BIP	3.47%	÷0.987	×0.820	—	×0.980	2.82%

Factors used: league row SAL. Park (home-season share, regressed): HR 97, 1B 103, 2B 97, 3B 82, K 104, BB 111 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .348 → .282; ISO .136 → .114; BABIP .332 → .288. 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 — .