Danny Muno

Pos3B

B/TS/R

Born1989-02-09

Age (2027)38

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	27	AAA/AA2 orgs	257	.223/.348/.307	1	1	63	—	.206/.293/.281
2017	28	AAASEA	349	.273/.388/.430	8	12	88	—	.230/.316/.350
2018	29	AAASEA	241	.195/.324/.265	1	1	38	—	.174/.261/.239

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)
2012	23	A+	St. Lucie Mets	—	352	289	81	16	2	6	50	53	3	19	3	280	392	412	804	131	321	15	14	355	84	—	—	—	—	—	—
2012	23	INTL	Surprise Saguaros	—	38	31	7	2	0	0	6	7	1	0	0	226	368	290	659	65	292	18	16	316	100	—	—	—	—	—	—
2013	24	AA	Binghamton Mets	—	561	449	112	27	2	9	92	97	9	15	11	249	387	379	766	129	296	17	16	347	99	—	—	—	—	—	—
2014	25	AAA	Las Vegas 51s	—	435	359	93	13	1	14	60	82	7	9	5	259	376	418	793	159	296	19	14	352	85	—	—	—	—	—	—
2014	25	INTL	Yaquis de Obregon	—	25	21	4	1	0	0	4	5	0	0	0	190	320	238	558	48	250	20	16	272	70	—	—	—	—	—	—
2015	26	MLB	New York Mets	—	32	27	4	1	0	0	4	11	0	1	0	148	258	185	443	37	250	34	12	212	33	-3	+0	-1	+1	+1	-0.1
2015	26	AAA	Las Vegas 51s	—	314	274	76	14	1	3	35	50	2	6	7	277	363	369	732	91	329	16	11	332	69	—	—	—	—	—	—
2016	27	AAA	Charlotte Knights	—	235	197	44	11	2	1	34	50	3	1	3	223	346	315	661	91	295	21	14	309	65	—	—	—	—	—	—
2016	27	AA	Jacksonville Suns	—	22	18	4	0	0	0	4	4	0	0	0	222	364	222	586		286	18	18	291	42	—	—	—	—	—	—
2017	28	AAA	Tacoma Rainiers	—	349	293	80	20	1	8	53	91	2	12	8	273	388	430	818	157	369	26	15	368	88	—	—	—	—	—	—
2018	29	AAA	Tacoma Rainiers	—	241	200	39	9	1	1	36	63	2	1	1	195	324	265	589	70	275	26	15	279	38	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	32	27	4	1	0	0	4	11	0	1	0	148	258	185	443	37	250	34	12	212	30	-3	+0	-1	+1	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	23	A+ MLE	St. Lucie Mets	—	352	303	73	15	2	4	36	81	3	19	3	241	327	343	671	102	293	23	10	293	84	—	—	—	—	—	—
2013	24	AA MLE	Binghamton Mets	—	561	477	119	26	2	7	64	114	9	15	11	249	349	356	705	107	302	20	11	315	99	—	—	—	—	—	—
2014	25	AAA MLE	Las Vegas 51s	—	435	378	85	10	1	12	41	112	7	9	5	225	312	352	664	127	274	26	9	294	85	—	—	—	—	—	—
2015	26	MLB MLE	New York Mets	—	32	27	4	1	0	0	4	11	0	1	0	148	258	185	443	37	250	34	12	217	33	-3	+0	-1	+1	+1	-0.1
2015	26	AAA MLE	Las Vegas 51s	—	314	284	67	11	1	2	25	66	2	6	7	236	302	303	605	67	294	21	8	270	69	—	—	—	—	—	—
2016	27	AAA MLE	Charlotte Knights	—	235	209	43	10	2	1	22	57	3	1	3	206	291	287	578	81	278	24	9	265	65	—	—	—	—	—	—
2016	27	AA MLE	Jacksonville Suns	—	22	19	4	0	0	0	3	5	0	0	0	211	318	211	529		259	23	14	231	42	—	—	—	—	—	—
2017	28	AAA MLE	Tacoma Rainiers	—	349	309	71	17	1	6	37	114	2	12	8	230	316	350	666	120	340	33	11	298	88	—	—	—	—	—	—
2018	29	AAA MLE	Tacoma Rainiers	—	241	213	37	9	1	1	23	79	2	1	1	174	261	239	500	66	255	33	10	225	38	—	—	—	—	—	—
2012	23	A+ MLE	2 teams	—	390	336	80	16	2	5	40	89	4	19	3	238	326	342	669	104	305	23	10	293	84	—	—	—	—	—	—
2012	23	A+ RAW	2 teams	—	390	320	88	18	2	6	56	60	4	19	3	275	389	400	789	125	318	15	14	351	84	—	—	—	—	—	—
2013	24	AA MLE	Binghamton Mets	—	561	477	119	26	2	7	64	114	9	15	11	249	349	356	705	107	310	20	11	315	99	—	—	—	—	—	—
2013	24	AA RAW	Binghamton Mets	—	561	449	112	27	2	9	92	97	9	15	11	249	387	379	766	129	296	17	16	347	99	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	460	401	90	11	1	13	43	118	7	9	5	224	310	354	665	130	281	26	9	294	85	—	—	—	—	—	—
2014	25	AAA RAW	2 teams	—	460	380	97	14	1	14	64	87	7	9	5	255	373	408	780	153	293	19	14	348	85	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	346	311	71	12	1	2	29	77	2	7	7	228	298	293	591	64	296	22	8	265	66	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	346	301	80	15	1	3	39	61	2	7	7	266	354	352	706	86	324	18	11	321	66	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	257	228	46	10	2	1	25	62	3	1	3	202	289	276	565	75	273	24	10	262	64	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	257	215	48	11	2	1	38	54	3	1	3	223	348	307	655	84	294	21	15	307	64	—	—	—	—	—	—
2017	28	AAA MLE	Tacoma Rainiers	—	349	309	71	17	1	6	37	114	2	12	8	230	316	350	666	120	342	33	11	298	88	—	—	—	—	—	—
2017	28	AAA RAW	Tacoma Rainiers	—	349	293	80	20	1	8	53	91	2	12	8	273	388	430	818	157	369	26	15	368	88	—	—	—	—	—	—
2018	29	AAA MLE	Tacoma Rainiers	—	241	213	37	9	1	1	23	79	2	1	1	174	261	239	500	66	267	33	10	225	38	—	—	—	—	—	—
2018	29	AAA RAW	Tacoma Rainiers	—	241	200	39	9	1	1	36	63	2	1	1	195	324	265	589	70	275	26	15	279	38	—	—	—	—	—	—
2012	23	A+ MLE	2 teams	—	390	343	80	16	2	5	40	89	4	19	3	233	326	335	662	102	293	23	10	293	84	—	—	—	—	—	—
2013	24	AA MLE	Binghamton Mets	—	561	483	119	26	2	7	64	114	9	15	11	246	349	352	701	106	302	20	11	315	99	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	460	407	90	11	1	13	43	118	7	9	5	221	310	349	659	128	274	26	9	294	85	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	346	312	71	12	1	2	29	77	2	7	7	228	298	292	590	64	290	22	8	265	66	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	257	227	46	10	2	1	25	62	3	1	3	203	289	278	567	75	276	24	10	262	64	—	—	—	—	—	—
2017	28	AAA MLE	Tacoma Rainiers	—	349	307	71	17	1	6	37	114	2	12	8	231	316	352	668	121	340	33	11	298	88	—	—	—	—	—	—
2018	29	AAA MLE	Tacoma Rainiers	—	241	214	37	9	1	1	23	79	2	1	1	173	261	238	499	65	255	33	10	225	38	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	32	27	4	1	0	0	4	11	0	1	0	148	258	185	443	37	250	34	12	212	79	-3	+0	-1	+1	+1	-0.1
/ 162G	—	A+C		—	650	548	81	20	0	0	81	223	0	20	0	148	257	184	441	36	249	34	12	212	79	-54	+4	-12	+25	+14	-2.4
Career	—	MLE		—	2604	2275	514	101	10	35	261	653	29	64	38	226	313	325	639	99	299	25	10	286	79	-3	+0	-1	+1	+1	-0.1
/ 162G	—	MLE		—	650	568	128	25	2	9	65	163	7	16	9	225	312	324	636	99	297	25	10	286	79	-54	+4	-12	+25	+14	-2.4

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 AAATacoma Rainiers · 241 PAwOBA .275 → .225 (−50)K% 26.1% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.14%	÷1.031	×1.290	—	—	32.70%
BB% (unintentional) /PA	14.94%	÷1.103	×0.710	—	×0.982	9.44%
HBP% /PA	0.83%	—	×0.980	—	×0.982	0.80%
Singles /BIP	20.44%	÷1.006	×0.900	×1.050	×0.982	18.86%
Doubles /BIP	6.57%	÷0.885	×0.810	×1.050	×0.982	6.20%
Triples /BIP	0.73%	÷0.900	×0.810	×1.050	×0.982	0.68%
Home runs /BIP	0.73%	÷0.918	×0.780	—	×0.982	0.61%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 101, 2B 77, 3B 80, K 106, BB 121 — 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 ×1.050.

Result: wOBA .275 → .225; ISO .070 → .065; BABIP .275 → .255. 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 AAATacoma Rainiers · 349 PAwOBA .359 → .298 (−62)K% 26.1% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.07%	÷1.028	×1.290	—	—	32.70%
BB% (unintentional) /PA	14.90%	÷0.979	×0.710	—	×0.992	10.72%
HBP% /PA	0.57%	—	×0.980	—	×0.992	0.56%
Singles /BIP	25.25%	÷0.978	×0.900	×1.050	×0.992	24.21%
Doubles /BIP	9.90%	÷0.988	×0.810	×1.050	×0.992	8.46%
Triples /BIP	0.50%	÷0.900	×0.810	×1.050	×0.992	0.46%
Home runs /BIP	3.96%	÷0.963	×0.780	—	×0.992	3.18%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 98, 3B 80, K 106, BB 96 — 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 .359 → .298; ISO .157 → .126; BABIP .369 → .340. 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 AAACharlotte Knights · 235 PAwOBA .298 → .265 (−33)K% 21.3% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.28%	÷1.053	×1.200	—	—	24.25%
BB% (unintentional) /PA	13.62%	÷0.990	×0.690	—	×1.003	9.52%
HBP% /PA	1.28%	—	×0.940	—	×1.003	1.20%
Singles /BIP	20.41%	÷1.031	×0.930	×1.050	×1.003	19.38%
Doubles /BIP	7.48%	÷0.974	×0.830	×1.050	×1.003	6.71%
Triples /BIP	1.36%	÷0.926	×0.970	×1.050	×1.003	1.50%
Home runs /BIP	0.68%	÷0.950	×0.840	—	×1.003	0.60%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .298 → .265; ISO .091 → .089; BABIP .295 → .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).

2016 AAJacksonville Suns · 22 PAwOBA .285 → .231 (−55)K% 18.2% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.986	×1.220	—	—	22.50%
BB% (unintentional) /PA	18.18%	÷1.029	×0.680	—	×0.978	11.75%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	28.57%	÷0.993	×0.920	—	×0.978	25.89%
Doubles /BIP	0.00%	÷0.957	×0.910	—	×0.978	0.00%
Triples /BIP	0.00%	÷1.013	×0.880	—	×0.978	0.00%
Home runs /BIP	0.00%	÷1.423	×0.800	—	×0.978	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 185, 1B 99, 2B 91, 3B 103, K 97, BB 106 — 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).

Result: wOBA .285 → .231; ISO .000 → .000; BABIP .286 → .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).

2015 AAALas Vegas 51s · 314 PAwOBA .325 → .270 (−55)K% 15.9% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.92%	÷0.977	×1.290	—	—	21.02%
BB% (unintentional) /PA	11.15%	÷1.010	×0.710	—	×1.018	7.97%
HBP% /PA	0.64%	—	×0.980	—	×1.018	0.64%
Singles /BIP	25.89%	÷0.983	×0.900	×0.995	×1.018	24.01%
Doubles /BIP	6.25%	÷1.042	×0.810	×0.995	×1.018	4.92%
Triples /BIP	0.45%	÷1.061	×0.810	×0.995	×1.018	0.35%
Home runs /BIP	1.34%	÷1.099	×0.780	—	×1.018	0.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — 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 ×0.995.

Result: wOBA .325 → .270; ISO .091 → .069; BABIP .329 → .294. 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 AAALas Vegas 51s · 435 PAwOBA .346 → .294 (−52)K% 18.9% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.85%	÷0.945	×1.290	—	—	25.72%
BB% (unintentional) /PA	13.56%	÷1.060	×0.710	—	×1.033	9.38%
HBP% /PA	1.61%	—	×0.980	—	×1.033	1.63%
Singles /BIP	23.47%	÷0.991	×0.900	×1.021	×1.033	22.47%
Doubles /BIP	4.69%	÷1.057	×0.810	×1.021	×1.033	3.79%
Triples /BIP	0.36%	÷0.900	×0.810	×1.021	×1.033	0.34%
Home runs /BIP	5.05%	÷0.925	×0.780	—	×1.033	4.40%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 98, 2B 111, 3B 80, K 89, BB 112 — 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 ×1.021.

Result: wOBA .346 → .294; ISO .159 → .136; BABIP .296 → .274. 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 AABinghamton Mets · 561 PAwOBA .342 → .315 (−27)K% 17.3% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.29%	÷1.034	×1.220	—	—	20.41%
BB% (unintentional) /PA	16.40%	÷1.019	×0.700	—	×1.012	11.40%
HBP% /PA	1.60%	—	×0.850	—	×1.012	1.38%
Singles /BIP	21.02%	÷0.949	×0.970	×1.032	×1.012	22.46%
Doubles /BIP	7.67%	÷0.991	×0.860	×1.032	×1.012	6.95%
Triples /BIP	0.57%	÷0.900	×0.950	×1.032	×1.012	0.63%
Home runs /BIP	2.56%	÷1.012	×0.780	—	×1.012	1.99%

Factors used: league row EL. Park (home-season share, regressed): HR 102, 1B 90, 2B 98, 3B 80, K 107, BB 104 — 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 ×1.032.

Result: wOBA .342 → .315; ISO .129 → .118; BABIP .296 → .302. 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+St. Lucie Mets · 352 PAwOBA .350 → .293 (−58)K% 15.1% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.06%	÷0.933	×1.420	—	—	22.91%
BB% (unintentional) /PA	14.20%	÷1.034	×0.750	—	×0.998	10.28%
HBP% /PA	0.85%	—	×0.930	—	×0.998	0.79%
Singles /BIP	24.15%	÷1.020	×0.920	×1.021	×0.998	22.20%
Doubles /BIP	6.78%	÷1.036	×0.960	×1.021	×0.998	6.40%
Triples /BIP	0.85%	÷1.016	×0.810	×1.021	×0.998	0.69%
Home runs /BIP	2.54%	÷1.239	×0.880	—	×0.998	1.80%

Factors used: league row FSL. Park (home-season share, regressed): HR 148, 1B 104, 2B 107, 3B 103, K 87, BB 107 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .350 → .293; ISO .131 → .106; BABIP .321 → .293. 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 — .