Ronnier Mustelier

PosLF

B/TR/R

Born1984-08-08

Age (2027)42

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	34	AAA/INTL2 orgs	624	.348/.421/.485	13	6	111	—	.294/.342/.432
2020	35	INTLEstrellas Ori…	72	.305/.423/.339	0	0	125	—
2021	36	INTLAguilas de Me…	86	.192/.280/.219	0	1	41	—

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)
2011	26	A+	Tampa Yankees	—	136	126	42	13	1	3	8	15	1	6	1	333	378	524	902	190	361	11	6	393	122	—	—	—	—	—	—
2011	26	ROK	GCL Yankees	—	21	20	10	1	0	0	1	2	0	3	1	500	524	550	1.074	50	556	10	5	482	117	—	—	—	—	—	—
2011	26	INTL	Phoenix Desert Dogs	—	65	64	22	3	1	2	1	7	0	3	1	344	354	516	869	172	364	11	2	382	144	—	—	—	—	—	—
2012	27	AAA	Scranton/Wilkes-Barre Yankees	—	385	347	105	21	1	10	26	49	7	7	2	303	363	455	818	153	325	13	7	360	100	—	—	—	—	—	—
2012	27	AA	Trenton Thunder	—	114	102	36	6	2	5	9	19	2	3	4	353	416	598	1.014	245	392	17	8	438	139	—	—	—	—	—	—
2012	27	INTL	Tomateros de Culiacan	—	233	208	58	8	2	9	19	44	1	9	1	279	342	466	808	188	308	19	8	350	123	—	—	—	—	—	—
2013	28	AAA	Scranton/Wilkes-Barre RailRiders	—	357	334	91	21	0	7	23	44	0	4	2	272	319	398	718	126	297	12	6	321	73	—	—	—	—	—	—
2013	28	ROK	GCL Yankees1	—	17	16	5	1	0	0	1	3	0	1	0	312	353	375	728	62	385	18	6	330	34	—	—	—	—	—	—
2013	28	INTL	Tomateros de Culiacan	—	240	196	54	7	2	2	30	34	9	4	1	276	396	362	758	87	321	14	12	345	120	—	—	—	—	—	—
2014	29	AAA	Vaqueros de la Laguna	—	400	353	122	20	1	10	32	44	6	14	0	346	408	493	901	147	368	11	8	393	103	—	—	—	—	—	—
2014	29	INTL	Venados de Mazatlan	—	124	104	36	7	1	2	15	11	3	3	0	346	443	490	933	144	366	9	12	411	164	—	—	—	—	—	—
2015	30	INTL	Tiburones de La Guaira	—	210	189	68	10	1	1	17	26	2	0	2	360	418	439	857	79	411	12	8	384	146	—	—	—	—	—	—
2016	31	AAA	Gwinnett Braves	—	469	426	124	21	4	5	39	49	2	6	1	291	353	394	748	103	319	10	8	336	76	—	—	—	—	—	—
2016	31	INTL	Mexico	—	297	259	82	28	0	6	29	23	4	4	1	317	394	494	888	178	328	8	10	387	148	—	—	—	—	—	—
2017	32	AAA	Leones de Yucatan	—	198	179	57	7	1	1	17	17	1	3	0	318	381	385	766	67	346	9	9	347	84	—	—	—	—	—	—
2017	32	INTL	Mexico	—	215	183	55	7	1	1	27	15	2	6	3	301	396	366	762	66	321	7	13	347	121	—	—	—	—	—	—
2018	33	INTL	Tomateros de Culiacan	—	245	218	52	11	0	4	23	29	0	8	0	239	311	344	655	106	258	12	9	294	85	—	—	—	—	—	—
2019	34	AAA	Olmecas de Tabasco	—	457	396	145	28	0	13	49	36	5	6	3	366	442	535	978	169	375	8	11	427	113	—	—	—	—	—	—
2019	34	INTL	Tomateros de Culiacan	—	167	150	45	8	0	0	13	15	2	0	4	300	364	353	717	53	328	9	8	325	106	—	—	—	—	—	—
2020	35	INTL	Estrellas Orientales	—	72	59	18	2	0	0	11	6	1	0	0	305	423	339	762	34	333	8	15	354	125	—	—	—	—	—	—
2021	36	INTL	Aguilas de Mexicali	—	86	73	14	2	0	0	9	11	0	1	0	192	280	219	500	27	222	13	10	229	41	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	26	A+ MLE	Tampa Yankees	—	136	128	40	13	1	3	6	21	1	6	1	312	348	500	848	188	343	15	4	348	122	—	—	—	—	—	—
2011	26	ROK MLE	GCL Yankees	—	21	20	8	1	0	0	1	3	0	3	1	400	429	450	879	50	423	14	5	341	117	—	—	—	—	—	—
2012	27	AAA MLE	Scranton/Wilkes-Barre Yankees	—	385	355	98	17	1	9	18	60	7	7	2	276	324	406	729	130	301	16	5	316	100	—	—	—	—	—	—
2012	27	AA MLE	Trenton Thunder	—	114	105	33	5	2	4	6	23	2	3	4	314	363	514	877	200	366	20	5	373	139	—	—	—	—	—	—
2013	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	357	342	85	17	0	6	15	52	0	4	2	249	280	351	631	102	279	15	4	276	73	—	—	—	—	—	—
2013	28	ROK MLE	GCL Yankees1	—	17	16	4	1	0	0	1	4	0	1	0	250	294	312	607	62	289	24	6	218	34	—	—	—	—	—	—
2014	29	AAA MLE	Vaqueros de la Laguna	—	400	365	106	16	1	7	21	55	6	14	0	290	339	397	737	107	314	14	5	321	103	—	—	—	—	—	—
2016	31	AAA MLE	Gwinnett Braves	—	469	441	113	18	3	4	24	56	2	6	1	256	298	338	636	82	286	12	5	280	76	—	—	—	—	—	—
2017	32	AAA MLE	Leones de Yucatan	—	198	186	53	6	1	1	10	20	1	3	0	285	325	344	669	59	307	10	5	292	84	—	—	—	—	—	—
2019	34	AAA MLE	Olmecas de Tabasco	—	457	419	123	25	0	11	26	43	5	6	3	294	342	432	774	138	296	9	6	335	113	—	—	—	—	—	—
2011	26	A+ MLE	3 teams	—	222	211	66	19	1	4	9	33	1	12	3	313	344	469	813	156	356	15	4	347	121	—	—	—	—	—	—
2011	26	A+ RAW	3 teams	—	222	210	74	17	2	5	10	24	1	12	3	352	385	524	908	171	381	11	5	398	121	—	—	—	—	—	—
2012	27	AAA MLE	3 teams	—	732	676	193	32	5	19	35	122	10	19	7	286	330	432	762	146	320	17	5	329	109	—	—	—	—	—	—
2012	27	AAA RAW	3 teams	—	732	657	199	35	5	24	54	112	10	19	7	303	365	481	846	178	330	15	7	369	109	—	—	—	—	—	—
2013	28	AAA MLE	3 teams	—	614	574	146	30	0	10	26	93	9	9	3	254	297	359	656	105	288	15	4	273	71	—	—	—	—	—	—
2013	28	AAA RAW	3 teams	—	614	546	150	29	2	9	54	81	9	9	3	275	350	385	734	110	308	13	9	331	71	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	524	478	139	21	1	9	27	72	9	17	0	291	340	395	736	105	322	14	5	321	103	—	—	—	—	—	—
2014	29	AAA RAW	2 teams	—	524	457	158	27	2	12	47	55	9	17	0	346	416	492	909	147	368	10	9	397	103	—	—	—	—	—	—
2015	30	INTL MLE	Tiburones de La Guaira	—	210	189	68	10	1	1	17	26	2	0	2	360	418	439	857	79	411	12	8	—	—	—	—	—	—	—	—
2015	30	INTL RAW	Tiburones de La Guaira	—	210	189	68	10	1	1	17	26	2	0	2	360	418	439	857	79	411	12	8	384	146	—	—	—	—	—	—
2016	31	AAA MLE	2 teams	—	766	714	185	29	6	6	39	92	6	10	2	259	303	342	645	83	289	12	5	280	76	—	—	—	—	—	—
2016	31	AAA RAW	2 teams	—	766	685	206	49	4	11	68	72	6	10	2	301	369	432	801	131	322	9	9	356	76	—	—	—	—	—	—
2017	32	INTL MLE	2 teams	—	413	386	110	12	2	2	20	42	3	9	3	285	325	342	667	57	314	10	5	292	84	—	—	—	—	—	—
2017	32	INTL RAW	2 teams	—	413	362	112	14	2	2	44	32	3	9	3	309	389	376	764	66	333	8	11	347	84	—	—	—	—	—	—
2018	33	INTL MLE	Tomateros de Culiacan	—	245	218	52	11	0	4	23	29	0	8	0	239	311	344	655	106	258	12	9	—	—	—	—	—	—	—	—
2018	33	INTL RAW	Tomateros de Culiacan	—	245	218	52	11	0	4	23	29	0	8	0	239	311	344	655	106	258	12	9	294	85	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	624	572	167	34	0	14	36	59	7	6	7	292	341	425	766	133	302	9	6	335	113	—	—	—	—	—	—
2019	34	AAA RAW	2 teams	—	624	546	190	36	0	13	62	51	7	6	7	348	421	485	906	137	362	8	10	399	113	—	—	—	—	—	—
2020	35	INTL MLE	Estrellas Orientales	—	72	59	18	2	0	0	11	6	1	0	0	305	423	339	762	34	333	8	15	—	—	—	—	—	—	—	—
2020	35	INTL RAW	Estrellas Orientales	—	72	59	18	2	0	0	11	6	1	0	0	305	423	339	762	34	333	8	15	354	125	—	—	—	—	—	—
2021	36	INTL MLE	Aguilas de Mexicali	—	86	73	14	2	0	0	9	11	0	1	0	192	280	219	500	27	222	13	10	—	—	—	—	—	—	—	—
2021	36	INTL RAW	Aguilas de Mexicali	—	86	73	14	2	0	0	9	11	0	1	0	192	280	219	500	27	222	13	10	229	41	—	—	—	—	—	—
2011	26	A+ MLE	3 teams	—	222	210	66	19	1	4	9	33	1	12	3	314	344	471	815	157	354	15	4	347	121	—	—	—	—	—	—
2012	27	AAA MLE	3 teams	—	732	681	193	32	5	19	35	122	10	19	7	283	330	429	759	145	316	17	5	329	109	—	—	—	—	—	—
2013	28	AAA MLE	3 teams	—	614	574	146	30	0	10	26	93	9	9	3	254	297	359	656	105	279	15	4	273	71	—	—	—	—	—	—
2014	29	AAA MLE	2 teams	—	524	483	139	21	1	9	27	72	9	17	0	288	340	391	732	104	314	14	5	321	103	—	—	—	—	—	—
2016	31	AAA MLE	2 teams	—	766	715	185	29	6	6	39	92	6	10	2	259	303	341	644	83	286	12	5	280	76	—	—	—	—	—	—
2017	32	INTL MLE	2 teams	—	413	387	110	12	2	2	20	42	3	9	3	284	325	341	666	57	307	10	5	292	84	—	—	—	—	—	—
2019	34	AAA MLE	2 teams	—	624	576	167	34	0	14	36	59	7	6	7	290	341	422	763	132	296	9	6	335	113	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4508	4150	1158	202	16	69	252	585	48	91	27	279	328	385	713	106	308	13	6	266	66	-182	+7	+0	-48	+98	-12.8
/ 162G	—	MLE		—	650	598	167	29	2	10	36	84	7	13	4	279	327	385	712	105	308	13	6	266	66	-26	+1	+0	-7	+14	-1.9

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 AAAOlmecas de Tabasco · 457 PAwOBA .416 → .335 (−82)K% 7.9% → 9.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.88%	÷0.994	×1.200	—	—	9.51%
BB% (unintentional) /PA	9.41%	÷1.078	×0.690	—	×0.940	5.66%
HBP% /PA	1.09%	—	×0.940	—	×0.940	0.97%
Singles /BIP	28.89%	÷1.056	×0.930	×0.950	×0.940	22.72%
Doubles /BIP	7.78%	÷0.900	×0.830	×0.950	×0.940	6.41%
Triples /BIP	0.00%	÷1.057	×0.920	×0.950	×0.940	0.00%
Home runs /BIP	3.61%	÷0.865	×0.700	—	×0.940	2.75%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 111, 2B 80, 3B 111, K 99, BB 116 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .416 → .335; ISO .169 → .142; BABIP .375 → .296. 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 AAALeones de Yucatan · 198 PAwOBA .336 → .292 (−45)K% 8.6% → 10.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.59%	÷1.015	×1.200	—	—	10.15%
BB% (unintentional) /PA	7.58%	÷0.998	×0.690	—	×0.942	4.93%
HBP% /PA	0.51%	—	×0.940	—	×0.942	0.45%
Singles /BIP	29.63%	÷1.002	×0.930	×1.036	×0.942	26.86%
Doubles /BIP	4.32%	÷1.054	×0.830	×1.036	×0.942	3.32%
Triples /BIP	0.62%	÷0.900	×0.920	×1.036	×0.942	0.62%
Home runs /BIP	0.62%	÷0.945	×0.700	—	×0.942	0.43%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 100, 2B 111, 3B 80, K 103, BB 100 — 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 ×1.036.

Result: wOBA .336 → .292; ISO .067 → .055; BABIP .346 → .307. 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 AAAGwinnett Braves · 469 PAwOBA .326 → .280 (−46)K% 10.4% → 12.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.45%	÷1.046	×1.200	—	—	11.98%
BB% (unintentional) /PA	7.89%	÷1.022	×0.690	—	×0.952	5.07%
HBP% /PA	0.43%	—	×0.940	—	×0.952	0.38%
Singles /BIP	24.93%	÷1.017	×0.930	×1.050	×0.952	22.80%
Doubles /BIP	5.57%	÷0.991	×0.830	×1.050	×0.952	4.66%
Triples /BIP	1.06%	÷1.150	×0.970	×1.050	×0.952	0.89%
Home runs /BIP	1.33%	÷1.132	×0.840	—	×0.952	0.94%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 103, 2B 98, 3B 130, K 109, BB 104 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .326 → .280; ISO .103 → .084; BABIP .319 → .286. 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 AAAVaqueros de la Laguna · 400 PAwOBA .387 → .321 (−66)K% 11.0% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.00%	÷0.966	×1.200	—	—	13.67%
BB% (unintentional) /PA	8.00%	÷1.025	×0.690	—	×0.972	5.24%
HBP% /PA	1.50%	—	×0.940	—	×0.972	1.37%
Singles /BIP	29.45%	÷1.055	×0.930	×1.023	×0.972	25.80%
Doubles /BIP	6.47%	÷1.060	×0.830	×1.023	×0.972	5.04%
Triples /BIP	0.32%	÷0.953	×0.920	×1.023	×0.972	0.31%
Home runs /BIP	3.24%	÷0.976	×0.700	—	×0.972	2.26%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 111, 2B 112, 3B 91, K 93, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .387 → .321; ISO .147 → .112; BABIP .368 → .314. 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 AAAScranton/Wilkes-Barre RailRiders · 357 PAwOBA .312 → .276 (−37)K% 12.3% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.32%	÷1.010	×1.200	—	—	14.64%
BB% (unintentional) /PA	6.44%	÷1.015	×0.690	—	×0.982	4.30%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	21.72%	÷0.971	×0.930	×1.044	×0.982	21.33%
Doubles /BIP	7.24%	÷1.026	×0.830	×1.044	×0.982	6.01%
Triples /BIP	0.00%	÷1.000	×0.970	×1.044	×0.982	0.00%
Home runs /BIP	2.41%	÷0.976	×0.840	—	×0.982	2.04%

Factors used: league row IL. Park (home-season share, regressed): HR 95, 1B 94, 2B 105, 3B 100, K 102, 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 ×1.044.

Result: wOBA .312 → .276; ISO .126 → .105; BABIP .297 → .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).

2013 ROKGCL Yankees1 · 17 PAwOBA .321 → .218 (−103)K% 17.6% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.000	×1.440	—	—	25.41%
BB% (unintentional) /PA	5.88%	÷1.000	×0.620	—	×0.940	3.43%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	30.77%	÷1.000	×0.820	—	×0.940	23.72%
Doubles /BIP	7.69%	÷1.000	×0.720	—	×0.940	5.21%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

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 29 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (9.5 yr older than average).

Result: wOBA .321 → .218; ISO .062 → .039; BABIP .385 → .289. 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 AAAScranton/Wilkes-Barre Yankees · 385 PAwOBA .354 → .316 (−39)K% 12.7% → 15.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.73%	÷0.988	×1.200	—	—	15.45%
BB% (unintentional) /PA	6.75%	÷1.012	×0.690	—	×0.992	4.57%
HBP% /PA	1.82%	—	×0.940	—	×0.992	1.70%
Singles /BIP	24.50%	÷1.006	×0.930	×1.050	×0.992	23.58%
Doubles /BIP	7.05%	÷1.076	×0.830	×1.050	×0.992	5.66%
Triples /BIP	0.34%	÷0.926	×0.970	×1.050	×0.992	0.37%
Home runs /BIP	3.36%	÷0.945	×0.840	—	×0.992	2.96%

Factors used: league row IL. Park (home-season share, regressed): HR 89, 1B 101, 2B 115, 3B 85, K 98, BB 102 — 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 ×1.050.

Result: wOBA .354 → .316; ISO .153 → .133; BABIP .325 → .301. 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 AATrenton Thunder · 114 PAwOBA .429 → .373 (−56)K% 16.7% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.990	×1.220	—	—	20.54%
BB% (unintentional) /PA	7.89%	÷0.955	×0.700	—	×0.968	5.60%
HBP% /PA	1.75%	—	×0.850	—	×0.968	1.44%
Singles /BIP	27.71%	÷0.980	×0.970	×1.020	×0.968	27.07%
Doubles /BIP	7.23%	÷1.058	×0.860	×1.020	×0.968	5.80%
Triples /BIP	2.41%	÷0.900	×0.950	×1.020	×0.968	2.51%
Home runs /BIP	6.02%	÷0.975	×0.780	—	×0.968	4.66%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 96, 2B 112, 3B 80, K 98, BB 91 — 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 ×1.020.

Result: wOBA .429 → .373; ISO .245 → .201; BABIP .392 → .366. 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 — .