Rico Noel

PosDH

B/TR/R

Born1989-01-11

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	28	AAA/AA/INTL3 orgs	280	.262/.324/.341	3	22	62	—	.198/.235/.308
2018	29	INTLTomateros de …	179	.268/.349/.314	0	20	87	—
2019	30	AAA/INTL2 orgs	345	.272/.352/.365	3	36	101	—	.105/.128/.105

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)
2010	21	A	Fort Wayne TinCaps	—	52	44	6	0	1	0	5	8	3	3	0	136	269	182	451	45	167	15	10	228	11	—	—	—	—	—	—
2011	22	A+	Lake Elsinore Storm	—	116	100	21	2	2	0	13	19	2	12	1	210	313	270	583	60	259	16	11	273	32	—	—	—	—	—	—
2011	22	A	Fort Wayne TinCaps	—	441	375	95	20	3	3	37	75	16	50	4	253	343	347	690	93	309	17	8	310	55	—	—	—	—	—	—
2012	23	A+	Lake Elsinore Storm	—	597	514	139	14	2	0	62	151	8	90	23	270	355	305	661	35	382	25	10	304	58	—	—	—	—	—	—
2013	24	AA	San Antonio Missions	—	576	496	132	23	5	0	52	119	13	59	19	266	351	333	684	67	346	21	9	308	73	—	—	—	—	—	—
2013	24	INTL	Leones del Caracas	—	81	70	17	3	2	1	9	13	1	2	3	243	338	386	723	143	281	16	11	323	104	—	—	—	—	—	—
2014	25	AAA	El Paso Chihuahuas	—	385	333	86	11	1	2	41	81	3	32	6	258	345	315	660	57	333	21	11	301	60	—	—	—	—	—	—
2014	25	INTL	Mexico	—	253	200	47	2	1	1	40	55	4	31	3	235	373	270	643	35	315	22	16	300	90	—	—	—	—	—	—
2015	26	AAA	Scranton/Wilkes-Barre RailRiders	—	103	83	17	1	1	0	13	24	2	19	4	205	327	241	567	36	279	23	13	262	42	—	—	—	—	—	—
2015	26	AA	Trenton Thunder	—	40	33	4	0	0	0	5	10	1	4	1	121	256	121	378		174	25	12	196	-10	—	—	—	—	—	—
2015	26	INTL	Tomateros de Culiacan	—	223	194	46	8	0	0	22	43	5	26	5	237	330	278	609	41	303	19	10	286	79	—	—	—	—	—	—
2016	27	AAA	Oklahoma City Dodgers	—	136	126	29	5	2	0	6	31	2	8	3	230	276	302	578	71	305	23	4	259	18	—	—	—	—	—	—
2016	27	INTL	Criollos de Caguas	—	130	113	25	4	2	1	11	19	4	9	2	221	312	319	631	97	255	15	8	287	81	—	—	—	—	—	—
2017	28	AAA	Fresno Grizzlies	—	124	116	29	6	1	2	5	30	2	7	4	250	293	371	663	121	321	24	4	295	38	—	—	—	—	—	—
2017	28	AA	Corpus Christi Hooks	—	30	27	5	0	0	1	3	10	0	2	0	185	267	296	563	111	250	33	10	260	11	—	—	—	—	—	—
2017	28	INTL	Mexico	—	126	109	32	3	0	0	11	26	2	13	1	294	369	321	690	28	381	21	9	311	97	—	—	—	—	—	—
2018	29	INTL	Tomateros de Culiacan	—	179	153	41	3	2	0	11	36	8	20	5	268	349	314	663	46	347	20	6	297	87	—	—	—	—	—	—
2019	30	AAA	Leones de Yucatan	—	39	37	5	0	0	0	2	14	0	2	1	135	179	135	315		217	36	5	152	-33	—	—	—	—	—	—
2019	30	INTL	Mexico	—	306	264	77	11	4	3	30	56	5	34	5	292	375	398	772	106	354	18	10	343	118	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	A MLE	Fort Wayne TinCaps	—	52	46	6	0	1	0	3	11	3	3	0	130	231	174	405	43	160	21	6	185	11	—	—	—	—	—	—
2011	22	A+ MLE	Lake Elsinore Storm	—	116	104	19	2	2	0	9	28	2	12	1	183	261	240	501	58	235	24	8	216	32	—	—	—	—	—	—
2011	22	A MLE	Fort Wayne TinCaps	—	441	390	84	16	3	3	25	102	16	50	4	215	290	295	585	79	266	23	6	249	55	—	—	—	—	—	—
2012	23	A+ MLE	Lake Elsinore Storm	—	597	536	127	11	2	0	44	204	8	90	23	237	304	265	569	28	367	34	7	254	58	—	—	—	—	—	—
2013	24	AA MLE	San Antonio Missions	—	576	513	130	20	5	0	35	145	13	59	19	253	317	312	629	58	334	25	6	276	73	—	—	—	—	—	—
2014	25	AAA MLE	El Paso Chihuahuas	—	385	344	80	9	1	2	30	104	3	32	6	233	300	282	582	49	312	27	8	257	60	—	—	—	—	—	—
2015	26	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	103	88	17	1	1	0	8	29	2	19	4	193	276	227	503	34	264	28	8	230	42	—	—	—	—	—	—
2015	26	AA MLE	Trenton Thunder	—	40	35	4	0	0	0	3	13	1	4	1	114	205	114	319		171	32	8	153	-10	—	—	—	—	—	—
2016	27	AAA MLE	Oklahoma City Dodgers	—	136	128	23	4	1	0	4	41	2	8	3	180	216	227	443	47	256	30	3	195	18	—	—	—	—	—	—
2017	28	AAA MLE	Fresno Grizzlies	—	124	118	25	5	1	2	3	39	2	7	4	212	244	322	566	110	277	31	2	225	38	—	—	—	—	—	—
2017	28	AA MLE	Corpus Christi Hooks	—	30	28	4	0	0	1	2	12	0	2	0	143	200	250	450	107	216	40	7	185	11	—	—	—	—	—	—
2019	30	AAA MLE	Leones de Yucatan	—	39	38	4	0	0	0	1	16	0	2	1	105	128	105	233		198	41	3	119	-33	—	—	—	—	—	—
2010	21	A MLE	Fort Wayne TinCaps	—	52	46	6	0	1	0	3	11	3	3	0	130	231	174	405	43	171	21	6	185	11	—	—	—	—	—	—
2010	21	A RAW	Fort Wayne TinCaps	—	52	44	6	0	1	0	5	8	3	3	0	136	269	182	451	45	167	15	10	228	11	—	—	—	—	—	—
2011	22	A MLE	2 teams	—	557	494	101	17	4	3	34	130	18	62	5	204	280	273	553	69	271	23	6	242	50	—	—	—	—	—	—
2011	22	A RAW	2 teams	—	557	475	116	22	5	3	50	94	18	62	5	244	337	331	668	86	298	17	9	303	50	—	—	—	—	—	—
2012	23	A+ MLE	Lake Elsinore Storm	—	597	536	127	11	2	0	44	204	8	90	23	237	304	265	569	28	381	34	7	254	58	—	—	—	—	—	—
2012	23	A+ RAW	Lake Elsinore Storm	—	597	514	139	14	2	0	62	151	8	90	23	270	355	305	661	35	382	25	10	304	58	—	—	—	—	—	—
2013	24	AA MLE	2 teams	—	657	587	148	23	5	0	40	166	14	61	22	252	315	308	623	56	347	25	6	276	73	—	—	—	—	—	—
2013	24	AA RAW	2 teams	—	657	566	149	26	7	1	61	132	14	61	22	263	349	339	689	76	337	20	9	310	73	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	638	565	132	15	1	3	49	173	7	63	9	234	303	280	582	46	328	27	8	257	60	—	—	—	—	—	—
2014	25	AAA RAW	2 teams	—	638	533	133	13	2	3	81	136	7	63	9	250	356	298	654	49	327	21	13	301	60	—	—	—	—	—	—
2015	26	INTL MLE	3 teams	—	366	323	55	3	2	0	27	107	8	49	10	170	251	192	443	22	251	29	7	208	27	—	—	—	—	—	—
2015	26	INTL RAW	3 teams	—	366	310	67	9	1	0	40	77	8	49	10	216	321	252	573	35	284	21	11	269	27	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	266	248	45	7	3	0	8	80	6	17	5	181	225	234	459	52	266	30	3	195	18	—	—	—	—	—	—
2016	27	AAA RAW	2 teams	—	266	239	54	9	4	1	17	50	6	17	5	226	294	310	604	84	280	19	6	273	18	—	—	—	—	—	—
2017	28	INTL MLE	3 teams	—	280	263	50	9	1	4	8	94	4	22	5	190	225	278	503	87	277	34	3	217	33	—	—	—	—	—	—
2017	28	INTL RAW	3 teams	—	280	252	66	9	1	3	19	66	4	22	5	262	324	341	665	79	342	24	7	298	33	—	—	—	—	—	—
2018	29	INTL MLE	Tomateros de Culiacan	—	179	153	41	3	2	0	11	36	8	20	5	268	349	314	663	46	347	20	6	—	—	—	—	—	—	—	—
2018	29	INTL RAW	Tomateros de Culiacan	—	179	153	41	3	2	0	11	36	8	20	5	268	349	314	663	46	347	20	6	297	87	—	—	—	—	—	—
2019	30	INTL MLE	2 teams	—	345	321	37	0	0	0	12	146	5	36	6	115	160	115	275		207	42	3	119	-33	—	—	—	—	—	—
2019	30	INTL RAW	2 teams	—	345	301	82	11	4	3	32	70	5	36	6	272	352	365	718	93	341	20	9	321	-33	—	—	—	—	—	—
2010	21	A MLE	Fort Wayne TinCaps	—	52	46	6	0	1	0	3	11	3	3	0	130	231	174	405	43	160	21	6	185	11	—	—	—	—	—	—
2011	22	A MLE	2 teams	—	557	500	101	17	4	3	34	130	18	62	5	202	280	270	550	68	260	23	6	242	50	—	—	—	—	—	—
2012	23	A+ MLE	Lake Elsinore Storm	—	597	540	127	11	2	0	44	204	8	90	23	235	304	263	567	28	367	34	7	254	58	—	—	—	—	—	—
2013	24	AA MLE	2 teams	—	657	598	148	23	5	0	40	166	14	61	22	247	315	303	618	55	334	25	6	276	73	—	—	—	—	—	—
2014	25	AAA MLE	2 teams	—	638	577	132	15	1	3	49	173	7	63	9	229	303	274	577	45	312	27	8	257	60	—	—	—	—	—	—
2015	26	INTL MLE	3 teams	—	366	328	55	3	2	0	27	107	8	49	10	168	251	189	440	21	238	29	7	208	27	—	—	—	—	—	—
2016	27	AAA MLE	2 teams	—	266	250	45	7	3	0	8	80	6	17	5	180	225	232	457	52	256	30	3	195	18	—	—	—	—	—	—
2017	28	INTL MLE	3 teams	—	280	266	50	9	1	4	8	94	4	22	5	188	225	274	500	86	265	34	3	217	33	—	—	—	—	—	—
2019	30	INTL MLE	2 teams	—	345	325	37	0	0	0	12	146	5	36	6	114	160	114	274		198	42	3	119	-33	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3937	3536	742	88	21	10	236	1147	81	423	90	210	275	255	530	45	305	29	6	221	36	-300	+49	-1	-93	+85	-26.5
/ 162G	—	MLE		—	650	584	123	15	3	2	39	189	13	70	15	211	275	257	532	46	305	29	6	221	36	-50	+8	-0	-15	+14	-4.4

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.

2019 AAALeones de Yucatan · 39 PAwOBA .148 → .119 (−30)K% 35.9% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.90%	÷1.018	×1.200	—	—	42.32%
BB% (unintentional) /PA	5.13%	÷0.986	×0.690	—	×0.972	3.49%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	21.74%	÷0.992	×0.930	—	×0.972	19.81%
Doubles /BIP	0.00%	÷0.910	×0.830	—	×0.972	0.00%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.972	0.00%
Home runs /BIP	0.00%	÷0.792	×0.700	—	×0.972	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 58, 1B 98, 2B 82, 3B 130, K 104, BB 97 — 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 .148 → .119; ISO .000 → .000; BABIP .217 → .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).

2017 AAAFresno Grizzlies · 124 PAwOBA .283 → .225 (−58)K% 24.2% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.19%	÷0.992	×1.290	—	—	31.45%
BB% (unintentional) /PA	3.23%	÷1.028	×0.710	—	×0.992	2.21%
HBP% /PA	1.61%	—	×0.980	—	×0.992	1.57%
Singles /BIP	23.26%	÷0.978	×0.900	×0.969	×0.992	20.57%
Doubles /BIP	6.98%	÷0.926	×0.810	×0.969	×0.992	5.86%
Triples /BIP	1.16%	÷1.150	×0.810	×0.969	×0.992	0.79%
Home runs /BIP	2.33%	÷0.963	×0.780	—	×0.992	1.87%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — 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 ×0.969.

Result: wOBA .283 → .225; ISO .121 → .090; BABIP .321 → .277. 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 AACorpus Christi Hooks · 30 PAwOBA .253 → .185 (−68)K% 33.3% → 41.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷0.980	×1.220	—	—	41.50%
BB% (unintentional) /PA	10.00%	÷1.056	×0.700	—	×0.968	6.42%
HBP% /PA	0.00%	—	×0.870	—	×0.968	0.00%
Singles /BIP	23.53%	÷1.014	×0.920	—	×0.968	20.66%
Doubles /BIP	0.00%	÷0.964	×0.840	—	×0.968	0.00%
Triples /BIP	0.00%	÷0.900	×0.940	—	×0.968	0.00%
Home runs /BIP	5.88%	÷1.035	×0.800	—	×0.968	4.40%

Factors used: league row TL. Park (home-season share, regressed): HR 107, 1B 103, 2B 93, 3B 80, K 96, BB 111 — 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).

Result: wOBA .253 → .185; ISO .111 → .076; BABIP .250 → .216. 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 AAAOklahoma City Dodgers · 136 PAwOBA .252 → .195 (−57)K% 22.8% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.79%	÷0.972	×1.290	—	—	30.24%
BB% (unintentional) /PA	4.41%	÷1.059	×0.710	—	×1.003	2.97%
HBP% /PA	1.47%	—	×0.980	—	×1.003	1.45%
Singles /BIP	23.16%	÷1.017	×0.900	×0.967	×1.003	19.87%
Doubles /BIP	5.26%	÷0.975	×0.810	×0.967	×1.003	4.24%
Triples /BIP	2.11%	÷1.104	×0.810	×0.967	×1.003	1.50%
Home runs /BIP	0.00%	÷0.947	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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 ×0.967.

Result: wOBA .252 → .195; ISO .071 → .051; BABIP .305 → .256. 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 AAAScranton/Wilkes-Barre RailRiders · 103 PAwOBA .262 → .230 (−31)K% 23.3% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.30%	÷0.991	×1.200	—	—	28.23%
BB% (unintentional) /PA	12.62%	÷1.139	×0.690	—	×1.018	7.78%
HBP% /PA	1.94%	—	×0.940	—	×1.018	1.86%
Singles /BIP	25.42%	÷1.011	×0.930	×1.013	×1.018	24.12%
Doubles /BIP	1.69%	÷0.903	×0.830	×1.013	×1.018	1.61%
Triples /BIP	1.69%	÷1.150	×0.970	×1.013	×1.018	1.47%
Home runs /BIP	0.00%	÷0.878	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — 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 ×1.013.

Result: wOBA .262 → .230; ISO .036 → .035; BABIP .279 → .264. 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 AATrenton Thunder · 40 PAwOBA .180 → .153 (−27)K% 25.0% → 32.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.950	×1.220	—	—	32.10%
BB% (unintentional) /PA	10.00%	÷1.067	×0.700	—	×0.988	6.48%
HBP% /PA	2.50%	—	×0.850	—	×0.988	2.10%
Singles /BIP	17.39%	÷0.977	×0.970	—	×0.988	17.05%
Doubles /BIP	0.00%	÷0.978	×0.860	—	×0.988	0.00%
Triples /BIP	0.00%	÷1.150	×0.950	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.153	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — 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).

Result: wOBA .180 → .153; ISO .000 → .000; BABIP .174 → .171. 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 AAAEl Paso Chihuahuas · 385 PAwOBA .293 → .257 (−36)K% 21.0% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.04%	÷1.002	×1.290	—	—	27.10%
BB% (unintentional) /PA	10.13%	÷0.970	×0.710	—	×1.033	7.66%
HBP% /PA	0.78%	—	×0.980	—	×1.033	0.79%
Singles /BIP	28.57%	÷1.018	×0.900	×1.050	×1.033	27.40%
Doubles /BIP	4.37%	÷1.068	×0.810	×1.050	×1.033	3.59%
Triples /BIP	0.40%	÷1.150	×0.810	×1.050	×1.033	0.30%
Home runs /BIP	0.79%	÷0.958	×0.780	—	×1.033	0.67%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 104, 2B 114, 3B 130, K 100, BB 94 — 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 ×1.050.

Result: wOBA .293 → .257; ISO .057 → .046; BABIP .333 → .312. 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 AASan Antonio Missions · 576 PAwOBA .303 → .276 (−27)K% 20.7% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.66%	÷1.000	×1.220	—	—	25.20%
BB% (unintentional) /PA	9.03%	÷1.047	×0.700	—	×1.012	6.11%
HBP% /PA	2.26%	—	×0.870	—	×1.012	1.99%
Singles /BIP	27.59%	÷0.983	×0.920	×1.050	×1.012	27.43%
Doubles /BIP	6.10%	÷1.053	×0.840	×1.050	×1.012	5.17%
Triples /BIP	1.33%	÷1.056	×0.940	×1.050	×1.012	1.25%
Home runs /BIP	0.00%	÷0.872	×0.800	—	×1.012	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 74, 1B 97, 2B 111, 3B 111, K 100, BB 109 — 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 ×1.050.

Result: wOBA .303 → .276; ISO .067 → .060; BABIP .346 → .334. 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 — .