Matt Clark

Pos1B

B/TL/R

Born1986-12-10

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2016	29	AAAVaqueros de l…	18	.200/.333/.467	1	65	—	.176/.222/.412
2017	30	AAA/INTL2 orgs	516	.268/.355/.476	23	79	—	.217/.269/.372
2019	32	AAA/INTL2 orgs	369	.306/.406/.642	27	97	—	.224/.292/.436

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)
2009	22	A+	Lake Elsinore Storm	—	286	250	73	13	3	13	28	62	4	2	0	292	372	524	896	232	335	22	10	388	95	—	—	—	—	—	—
2009	22	A	Fort Wayne TinCaps	—	287	252	67	22	0	11	33	72	1	0	0	266	353	484	837	218	329	25	11	368	68	—	—	—	—	—	—
2010	23	AA	San Antonio Missions	—	558	499	134	22	1	28	47	146	8	0	0	269	341	485	826	216	322	26	8	362	95	—	—	—	—	—	—
2010	23	INTL	Venados de Mazatlan	—	51	46	9	1	0	0	2	15	3	0	0	196	275	217	492	22	290	29	4	238	47	—	—	—	—	—	—
2011	24	AAA	Tucson Padres	—	537	462	135	24	1	23	58	116	1	0	2	292	371	498	869	206	333	22	11	373	88	—	—	—	—	—	—
2011	24	INTL	Aguilas de Mexicali	—	98	79	16	4	0	6	19	18	0	0	0	203	357	481	838	278	182	18	19	370	137	—	—	—	—	—	—
2012	25	AAA	Tucson Padres	—	511	445	129	26	2	22	57	113	1	0	0	290	371	506	877	216	338	22	11	380	83	—	—	—	—	—	—
2012	25	INTL	Bravos de Margarita	—	88	77	25	7	0	6	10	22	0	0	1	325	402	649	1.052	325	380	25	11	447	188	—	—	—	—	—	—
2014	27	MLB	Milwaukee Brewers	—	31	27	5	0	0	3	2	8	0	0	0	185	241	519	760	333	111	26	6	305	56	-2	+0	-2	-9	+1	-1.2
2014	27	AAA	Nashville Sounds	—	213	195	61	9	0	16	15	52	3	0	0	313	371	605	976	292	354	24	7	423	103	—	—	—	—	—	—
2014	27	AA	Binghamton Mets	—	255	219	65	14	0	10	25	45	7	0	0	297	386	498	884	201	327	18	10	386	95	—	—	—	—	—	—
2015	28	AAA	Colorado Springs Sky Sox	—	548	478	139	34	1	20	58	106	4	1	0	291	372	492	864	201	331	19	11	376	75	—	—	—	—	—	—
2015	28	INTL	Toros del Este	—	63	55	11	1	0	0	7	12	1	0	0	200	302	218	520	18	256	19	11	253	58	—	—	—	—	—	—
2016	29	AAA	Vaqueros de la Laguna	—	18	15	3	1	0	1	3	3	0	0	0	200	333	467	800	267	182	17	17	353	65	—	—	—	—	—	—
2017	30	AAA	Acereros del Norte	—	445	394	109	23	0	21	47	106	2	0	1	277	357	495	852	218	327	24	11	374	76	—	—	—	—	—	—
2017	30	INTL	Charros de Jalisco	—	71	58	12	2	0	2	12	21	0	0	0	207	343	345	688	138	278	30	17	315	99	—	—	—	—	—	—
2019	32	AAA	Bravos de Leon	—	339	285	90	21	1	27	44	73	3	0	1	316	413	681	1.093	365	328	22	13	457	100	—	—	—	—	—	—
2019	32	INTL	Venados de Mazatlan	—	30	25	5	0	0	0	4	11	1	0	0	200	333	200	533		357	37	13	268	68	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	31	27	5	0	0	3	2	8	0	0	0	185	241	519	760	333	111	26	6	305	92	-0	+0	-2	-9	+1	-1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A+ MLE	Lake Elsinore Storm	—	286	258	60	10	2	11	20	83	4	2	0	233	298	415	713	182	285	29	7	309	95	—	—	—	—	—	—
2009	22	A MLE	Fort Wayne TinCaps	—	287	262	52	16	0	8	23	98	1	0	0	198	266	351	617	153	276	34	8	268	68	—	—	—	—	—	—
2010	23	AA MLE	San Antonio Missions	—	558	514	122	19	1	25	32	179	8	0	0	237	292	424	717	187	305	32	6	309	95	—	—	—	—	—	—
2011	24	AAA MLE	Tucson Padres	—	537	480	112	19	1	18	42	160	1	0	2	233	296	390	686	156	285	30	8	299	88	—	—	—	—	—	—
2012	25	AAA MLE	Tucson Padres	—	511	465	105	20	1	16	38	149	1	0	0	226	286	376	662	151	285	29	7	291	83	—	—	—	—	—	—
2014	27	MLB MLE	Milwaukee Brewers	—	31	29	5	0	0	3	0	8	0	0	0	172	172	483	655	310	111	26	0	250	56	-2	+0	-2	-9	+1	-1.2
2014	27	AAA MLE	Nashville Sounds	—	213	201	48	6	0	13	9	70	3	0	0	239	282	463	744	224	299	33	4	320	103	—	—	—	—	—	—
2014	27	AA MLE	Binghamton Mets	—	255	228	57	11	0	8	16	54	7	0	0	250	319	404	722	154	279	21	6	309	95	—	—	—	—	—	—
2015	28	AAA MLE	Colorado Springs Sky Sox	—	548	501	107	21	1	17	35	140	4	1	0	214	270	361	632	148	249	26	6	279	75	—	—	—	—	—	—
2016	29	AAA MLE	Vaqueros de la Laguna	—	18	17	3	1	0	1	1	4	0	0	0	176	222	412	634	235	156	22	6	264	65	—	—	—	—	—	—
2017	30	AAA MLE	Acereros del Norte	—	445	414	90	19	0	15	27	128	2	0	1	217	269	372	641	155	273	29	6	281	76	—	—	—	—	—	—
2019	32	AAA MLE	Bravos de Leon	—	339	303	68	17	1	15	26	85	3	0	1	224	292	436	728	211	243	25	8	316	100	—	—	—	—	—	—
2009	22	A MLE	2 teams	—	573	521	112	26	2	19	42	181	5	2	0	215	280	382	662	167	285	32	7	288	81	—	—	—	—	—	—
2009	22	A RAW	2 teams	—	573	502	140	35	3	24	61	134	5	2	0	279	363	504	867	225	332	23	11	378	81	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	609	559	133	21	1	27	35	195	11	0	0	238	296	424	720	186	311	32	6	309	95	—	—	—	—	—	—
2010	23	AA RAW	2 teams	—	609	545	143	23	1	28	49	161	11	0	0	262	336	462	798	200	319	26	8	351	95	—	—	—	—	—	—
2011	24	AAA MLE	2 teams	—	635	570	132	22	1	22	50	189	1	0	2	232	295	389	684	158	296	30	8	299	88	—	—	—	—	—	—
2011	24	AAA RAW	2 teams	—	635	541	151	28	1	29	77	134	1	0	2	279	369	495	864	216	312	21	12	372	88	—	—	—	—	—	—
2012	25	AAA MLE	2 teams	—	599	546	124	23	2	19	44	174	1	0	1	227	286	381	667	154	291	29	7	291	83	—	—	—	—	—	—
2012	25	AAA RAW	2 teams	—	599	522	154	33	2	28	67	135	1	0	1	295	376	527	902	232	343	23	11	390	83	—	—	—	—	—	—
2014	27	AA MLE	3 teams	—	499	457	109	17	0	23	26	132	10	0	0	239	294	427	721	188	279	26	5	310	96	—	—	—	—	—	—
2014	27	AA RAW	3 teams	—	499	441	131	23	0	29	42	105	10	0	0	297	371	546	918	249	326	21	8	397	96	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	611	559	120	24	1	19	39	156	5	1	0	215	272	363	635	148	258	26	6	279	75	—	—	—	—	—	—
2015	28	AAA RAW	2 teams	—	611	533	150	35	1	20	65	118	5	1	0	281	365	463	828	182	323	19	11	364	75	—	—	—	—	—	—
2016	29	AAA MLE	Vaqueros de la Laguna	—	18	17	3	1	0	1	1	4	0	0	0	176	222	412	634	235	167	22	6	264	65	—	—	—	—	—	—
2016	29	AAA RAW	Vaqueros de la Laguna	—	18	15	3	1	0	1	3	3	0	0	0	200	333	467	800	267	182	17	17	353	65	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	516	480	104	22	0	17	31	148	2	0	1	217	267	369	636	152	274	29	6	281	76	—	—	—	—	—	—
2017	30	AAA RAW	2 teams	—	516	452	121	25	0	23	59	127	2	0	1	268	355	476	830	208	321	25	11	366	76	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	369	330	75	19	1	17	28	92	4	0	1	227	296	445	741	218	254	25	8	316	100	—	—	—	—	—	—
2019	32	AAA RAW	2 teams	—	369	310	95	21	1	27	48	84	4	0	1	306	406	642	1.048	335	330	23	13	441	100	—	—	—	—	—	—
2009	22	A MLE	2 teams	—	573	521	112	26	2	19	42	181	5	2	0	215	280	382	662	167	280	32	7	288	81	—	—	—	—	—	—
2010	23	AA MLE	2 teams	—	609	558	133	21	1	27	35	195	11	0	0	238	296	425	721	186	305	32	6	309	95	—	—	—	—	—	—
2011	24	AAA MLE	2 teams	—	635	579	132	22	1	22	50	189	1	0	2	228	295	383	678	155	285	30	8	299	88	—	—	—	—	—	—
2012	25	AAA MLE	2 teams	—	599	549	124	23	2	19	44	174	1	0	1	226	286	379	665	153	285	29	7	291	83	—	—	—	—	—	—
2014	27	AA MLE	3 teams	—	499	460	109	17	0	23	26	132	10	0	0	237	294	424	718	187	277	26	5	310	96	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	611	562	120	24	1	19	39	156	5	1	0	214	272	361	633	148	249	26	6	279	75	—	—	—	—	—	—
2016	29	AAA MLE	Vaqueros de la Laguna	—	18	17	3	1	0	1	1	4	0	0	0	176	222	412	634	235	156	22	6	264	65	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	516	478	104	22	0	17	31	148	2	0	1	218	267	370	637	153	273	29	6	281	76	—	—	—	—	—	—
2019	32	AAA MLE	2 teams	—	369	334	75	19	1	17	28	92	4	0	1	225	296	440	736	216	243	25	8	316	100	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	31	27	5	0	0	3	2	8	0	0	0	185	241	519	760	333	111	26	6	305	86	-0	+0	-2	-9	+1	-1.0
/ 162G	—	A+C		—	650	566	105	0	0	63	42	168	0	0	0	186	242	519	761	334	111	26	6	305	86	-6	+0	-33	-187	+14	-21.6
Career	—	MLE		—	4429	4039	912	175	8	164	296	1271	39	3	5	226	285	395	680	169	281	29	7	296	86	-0	+0	-2	-9	+1	-1.0
/ 162G	—	MLE		—	650	593	134	26	1	24	43	187	6	0	1	226	285	395	680	169	282	29	7	296	86	-6	+0	-33	-187	+14	-21.6

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.

2019 AAABravos de Leon · 339 PAwOBA .451 → .316 (−135)K% 21.5% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.53%	÷1.032	×1.200	—	—	25.03%
BB% (unintentional) /PA	12.09%	÷1.034	×0.690	—	×0.942	7.60%
HBP% /PA	0.88%	—	×0.940	—	×0.942	0.78%
Singles /BIP	19.34%	÷1.037	×0.930	×0.950	×0.942	15.52%
Doubles /BIP	9.91%	÷0.973	×0.830	×0.950	×0.942	7.56%
Triples /BIP	0.47%	÷1.125	×0.920	×0.950	×0.942	0.35%
Home runs /BIP	12.74%	÷1.227	×0.700	—	×0.942	6.84%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 145, 1B 107, 2B 95, 3B 125, K 106, BB 107 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .451 → .316; ISO .365 → .228; BABIP .328 → .243. 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 AAAAcereros del Norte · 445 PAwOBA .360 → .281 (−79)K% 23.8% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.82%	÷0.996	×1.200	—	—	28.71%
BB% (unintentional) /PA	8.99%	÷0.985	×0.690	—	×0.962	6.06%
HBP% /PA	0.45%	—	×0.940	—	×0.962	0.41%
Singles /BIP	22.57%	÷1.025	×0.930	×0.991	×0.962	19.51%
Doubles /BIP	7.99%	÷0.958	×0.830	×0.991	×0.962	6.59%
Triples /BIP	0.00%	÷1.109	×0.920	×0.991	×0.962	0.00%
Home runs /BIP	7.29%	÷0.969	×0.700	—	×0.962	5.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 92, 3B 122, K 99, BB 97 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .360 → .281; ISO .218 → .160; BABIP .327 → .273. 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 AAAVaqueros de la Laguna · 18 PAwOBA .324 → .264 (−60)K% 16.7% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.986	×1.200	—	—	20.29%
BB% (unintentional) /PA	11.11%	÷1.051	×0.690	—	×0.972	7.09%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	8.33%	÷0.963	×0.930	—	×0.972	7.83%
Doubles /BIP	8.33%	÷0.992	×0.830	—	×0.972	6.78%
Triples /BIP	0.00%	÷1.046	×0.920	—	×0.972	0.00%
Home runs /BIP	8.33%	÷0.929	×0.700	—	×0.972	6.10%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 93, 2B 98, 3B 109, K 97, BB 110 — 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 .324 → .264; ISO .267 → .219; BABIP .182 → .156. 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 AAAColorado Springs Sky Sox · 548 PAwOBA .368 → .279 (−89)K% 19.3% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.34%	÷0.979	×1.290	—	—	25.48%
BB% (unintentional) /PA	9.31%	÷1.015	×0.710	—	×0.982	6.39%
HBP% /PA	0.73%	—	×0.980	—	×0.982	0.70%
Singles /BIP	22.58%	÷1.044	×0.900	×0.960	×0.982	18.35%
Doubles /BIP	9.14%	÷1.214	×0.810	×0.960	×0.982	5.75%
Triples /BIP	0.27%	÷1.150	×0.810	×0.960	×0.982	0.18%
Home runs /BIP	5.38%	÷0.886	×0.780	—	×0.982	4.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 109, 2B 143, 3B 130, K 96, BB 103 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .368 → .279; ISO .201 → .155; BABIP .331 → .249. 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 AABinghamton Mets · 255 PAwOBA .382 → .309 (−72)K% 17.6% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.011	×1.220	—	—	21.30%
BB% (unintentional) /PA	9.80%	÷1.032	×0.700	—	×0.968	6.43%
HBP% /PA	2.75%	—	×0.850	—	×0.968	2.26%
Singles /BIP	23.56%	÷0.990	×0.970	×0.950	×0.968	21.23%
Doubles /BIP	8.05%	÷1.050	×0.860	×0.950	×0.968	6.06%
Triples /BIP	0.00%	÷1.036	×0.950	×0.950	×0.968	0.00%
Home runs /BIP	5.75%	÷1.009	×0.780	—	×0.968	4.30%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 98, 2B 110, 3B 107, K 102, BB 106 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .382 → .309; ISO .201 → .155; BABIP .327 → .279. 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 AAANashville Sounds · 213 PAwOBA .409 → .320 (−89)K% 24.4% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.41%	÷0.964	×1.290	—	—	32.67%
BB% (unintentional) /PA	6.57%	÷1.040	×0.710	—	×0.992	4.45%
HBP% /PA	1.41%	—	×0.980	—	×0.992	1.37%
Singles /BIP	25.17%	÷0.975	×0.900	×0.967	×0.992	22.28%
Doubles /BIP	6.29%	÷1.051	×0.810	×0.967	×0.992	4.65%
Triples /BIP	0.00%	÷1.018	×0.810	×0.967	×0.992	0.00%
Home runs /BIP	11.19%	÷0.875	×0.780	—	×0.992	9.90%

Factors used: league row PCL. Park (home-season share, regressed): HR 75, 1B 95, 2B 110, 3B 104, K 93, BB 108 — 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 ×0.967.

Result: wOBA .409 → .320; ISO .292 → .231; BABIP .354 → .299. 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 AAATucson Padres · 511 PAwOBA .374 → .291 (−83)K% 22.1% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.11%	÷0.979	×1.290	—	—	29.14%
BB% (unintentional) /PA	10.76%	÷1.052	×0.710	—	×1.018	7.40%
HBP% /PA	0.20%	—	×0.980	—	×1.018	0.20%
Singles /BIP	23.80%	÷1.007	×0.900	×0.972	×1.018	21.03%
Doubles /BIP	7.83%	÷1.013	×0.810	×0.972	×1.018	6.20%
Triples /BIP	0.60%	÷1.150	×0.810	×0.972	×1.018	0.42%
Home runs /BIP	6.63%	÷1.050	×0.780	—	×1.018	5.01%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 101, 2B 103, 3B 130, K 96, BB 110 — 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 ×0.972.

Result: wOBA .374 → .291; ISO .216 → .160; BABIP .338 → .285. 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 AAATucson Padres · 537 PAwOBA .372 → .299 (−73)K% 21.6% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.60%	÷0.935	×1.290	—	—	29.80%
BB% (unintentional) /PA	10.80%	÷0.997	×0.710	—	×1.033	7.95%
HBP% /PA	0.19%	—	×0.980	—	×1.033	0.19%
Singles /BIP	25.14%	÷1.022	×0.900	×0.969	×1.033	22.16%
Doubles /BIP	6.94%	÷1.001	×0.810	×0.969	×1.033	5.62%
Triples /BIP	0.29%	÷1.000	×0.810	×0.969	×1.033	0.23%
Home runs /BIP	6.65%	÷0.968	×0.780	—	×1.033	5.53%

Factors used: league row PCL. Park (home-season share, regressed): HR 94, 1B 104, 2B 100, 3B 100, K 87, BB 99 — 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 ×0.969.

Result: wOBA .372 → .299; ISO .206 → .164; BABIP .333 → .285. 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 — .