Olmo Rosario

PosSS

B/TR/R

Born1980-08-24

Age (2027)46

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2020	39	INTLAguilas del Z…	99	.227/.292/.284	1	2	62	—
2021	40	INTLPanama	21	.316/.381/.474	1	0	144	—
2022	41	INTLMayos de Navo…	115	.293/.386/.394	2	1	126	—

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)
2008	27	AA	Connecticut Defenders	—	450	420	126	31	4	12	20	67	4	13	5	300	338	479	816	179	330	15	4	355	84	—	—	—	—	—	—
2014	33	AAA	Acereros del Norte	—	478	432	136	23	2	11	33	60	5	10	7	315	370	454	824	139	342	13	7	362	75	—	—	—	—	—	—
2014	33	INTL	Venados de Mazatlan	—	289	261	82	25	1	6	17	35	6	7	5	314	370	487	856	172	341	12	6	373	138	—	—	—	—	—	—
2015	34	AAA	Acereros del Norte	—	483	443	152	29	2	13	32	50	2	7	3	343	390	506	896	163	362	10	7	391	99	—	—	—	—	—	—
2015	34	INTL	Mexico	—	291	261	70	10	2	0	22	35	2	7	2	268	330	322	652	54	303	12	8	293	85	—	—	—	—	—	—
2016	35	AAA	Toros de Tijuana	—	481	428	134	20	2	6	39	37	4	18	11	313	376	411	787	98	328	8	8	348	89	—	—	—	—	—	—
2016	35	INTL	Yaquis de Obregon	—	280	236	69	11	0	4	31	40	7	10	4	292	391	390	780	97	335	14	11	350	123	—	—	—	—	—	—
2017	36	AAA	Piratas de Campeche	—	184	165	53	11	0	5	15	17	1	2	6	321	381	479	860	158	333	9	8	376	86	—	—	—	—	—	—
2017	36	INTL	Caneros de los Mochis	—	294	266	82	12	0	5	20	40	4	7	3	308	366	410	775	102	347	14	7	345	120	—	—	—	—	—	—
2018	37	INTL	Bravos de Margarita	—	245	222	66	6	0	6	14	28	3	2	2	297	347	405	753	108	314	11	6	331	110	—	—	—	—	—	—
2019	38	AAA	Piratas de Campeche	—	502	443	142	18	4	12	45	42	6	6	6	321	391	460	851	140	328	8	9	375	88	—	—	—	—	—	—
2019	38	INTL	Aguilas del Zulia	—	215	188	61	12	3	3	24	19	2	1	1	324	407	468	875	144	347	9	11	389	149	—	—	—	—	—	—
2020	39	INTL	Aguilas del Zulia	—	99	88	20	2	0	1	7	10	1	2	0	227	292	284	576	57	237	10	7	259	62	—	—	—	—	—	—
2021	40	INTL	Panama	—	21	19	6	0	0	1	2	3	0	0	0	316	381	474	855	158	333	14	10	381	144	—	—	—	—	—	—
2022	41	INTL	Mayos de Navojoa	—	115	99	29	4	0	2	12	14	3	1	0	293	386	394	780	101	321	12	10	354	126	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	27	AA MLE	Connecticut Defenders	—	450	429	111	25	4	9	11	82	4	13	5	259	284	399	682	140	291	18	2	293	84	—	—	—	—	—	—
2014	33	AAA MLE	Acereros del Norte	—	478	447	112	18	1	8	18	76	5	10	7	251	287	349	636	98	278	16	4	279	75	—	—	—	—	—	—
2015	34	AAA MLE	Acereros del Norte	—	483	454	132	22	2	8	21	57	2	7	3	291	325	401	726	110	309	12	4	314	99	—	—	—	—	—	—
2016	35	AAA MLE	Toros de Tijuana	—	481	443	127	18	2	3	24	42	4	18	11	287	329	357	686	70	299	9	5	300	89	—	—	—	—	—	—
2017	36	AAA MLE	Piratas de Campeche	—	184	170	46	9	0	3	10	20	1	2	6	271	315	376	691	106	284	11	5	296	86	—	—	—	—	—	—
2019	38	AAA MLE	Piratas de Campeche	—	502	461	125	15	4	7	27	47	6	6	6	271	320	367	686	95	277	9	5	299	88	—	—	—	—	—	—
2008	27	AA MLE	Connecticut Defenders	—	450	429	111	25	4	9	11	82	4	13	5	259	284	399	682	140	298	18	2	293	84	—	—	—	—	—	—
2008	27	AA RAW	Connecticut Defenders	—	450	420	126	31	4	12	20	67	4	13	5	300	338	479	816	179	330	15	4	355	84	—	—	—	—	—	—
2014	33	AAA MLE	2 teams	—	767	714	180	29	2	12	29	123	11	17	12	252	292	349	641	97	286	16	4	279	75	—	—	—	—	—	—
2014	33	AAA RAW	2 teams	—	767	693	218	48	3	17	50	95	11	17	12	315	370	466	836	152	341	12	7	366	75	—	—	—	—	—	—
2015	34	AAA MLE	2 teams	—	774	724	211	36	3	13	34	91	4	14	5	291	327	403	730	112	315	12	4	314	99	—	—	—	—	—	—
2015	34	AAA RAW	2 teams	—	774	704	222	39	4	13	54	85	4	14	5	315	367	438	805	122	340	11	7	355	99	—	—	—	—	—	—
2016	35	AAA MLE	2 teams	—	761	697	201	29	3	5	37	66	11	28	15	288	334	360	694	72	310	9	5	300	89	—	—	—	—	—	—
2016	35	AAA RAW	2 teams	—	761	664	203	31	2	10	70	77	11	28	15	306	381	404	785	98	330	10	9	349	89	—	—	—	—	—	—
2017	36	INTL MLE	2 teams	—	478	440	118	24	0	7	26	52	5	9	9	268	316	370	687	102	290	11	5	296	86	—	—	—	—	—	—
2017	36	INTL RAW	2 teams	—	478	431	135	23	0	10	35	57	5	9	9	313	372	436	808	123	342	12	7	357	86	—	—	—	—	—	—
2018	37	INTL MLE	Bravos de Margarita	—	245	222	66	6	0	6	14	28	3	2	2	297	347	405	753	108	314	11	6	—	—	—	—	—	—	—	—
2018	37	INTL RAW	Bravos de Margarita	—	245	222	66	6	0	6	14	28	3	2	2	297	347	405	753	108	314	11	6	331	110	—	—	—	—	—	—
2019	38	AAA MLE	2 teams	—	717	662	178	21	5	10	38	67	8	7	7	269	316	361	677	92	283	9	5	299	88	—	—	—	—	—	—
2019	38	AAA RAW	2 teams	—	717	631	203	30	7	15	69	61	8	7	7	322	395	463	858	141	334	9	10	379	88	—	—	—	—	—	—
2020	39	INTL MLE	Aguilas del Zulia	—	99	88	20	2	0	1	7	10	1	2	0	227	292	284	576	57	237	10	7	—	—	—	—	—	—	—	—
2020	39	INTL RAW	Aguilas del Zulia	—	99	88	20	2	0	1	7	10	1	2	0	227	292	284	576	57	237	10	7	259	62	—	—	—	—	—	—
2021	40	INTL MLE	Panama	—	21	19	6	0	0	1	2	3	0	0	0	316	381	474	855	158	333	14	10	—	—	—	—	—	—	—	—
2021	40	INTL RAW	Panama	—	21	19	6	0	0	1	2	3	0	0	0	316	381	474	855	158	333	14	10	381	144	—	—	—	—	—	—
2022	41	INTL MLE	Mayos de Navojoa	—	115	99	29	4	0	2	12	14	3	1	0	293	386	394	780	101	321	12	10	—	—	—	—	—	—	—	—
2022	41	INTL RAW	Mayos de Navojoa	—	115	99	29	4	0	2	12	14	3	1	0	293	386	394	780	101	321	12	10	354	126	—	—	—	—	—	—
2008	27	AA MLE	Connecticut Defenders	—	450	432	111	25	4	9	11	82	4	13	5	257	284	396	680	139	291	18	2	293	84	—	—	—	—	—	—
2014	33	AAA MLE	2 teams	—	767	721	180	29	2	12	29	123	11	17	12	250	292	345	637	96	278	16	4	279	75	—	—	—	—	—	—
2015	34	AAA MLE	2 teams	—	774	730	211	36	3	13	34	91	4	14	5	289	327	400	727	111	309	12	4	314	99	—	—	—	—	—	—
2016	35	AAA MLE	2 teams	—	761	707	201	29	3	5	37	66	11	28	15	284	334	355	689	71	299	9	5	300	89	—	—	—	—	—	—
2017	36	INTL MLE	2 teams	—	478	444	118	24	0	7	26	52	5	9	9	266	316	367	683	101	284	11	5	296	86	—	—	—	—	—	—
2019	38	AAA MLE	2 teams	—	717	665	178	21	5	10	38	67	8	7	7	268	316	359	676	92	277	9	5	299	88	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	4427	4094	1120	176	17	66	210	536	50	93	55	274	317	373	690	100	298	12	5	265	65	-182	-3	+0	+47	+96	-4.3
/ 162G	—	MLE		—	650	601	164	26	2	10	31	79	7	14	8	273	316	373	689	100	297	12	5	265	65	-27	-0	+0	+7	+14	-0.6

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 AAAPiratas de Campeche · 502 PAwOBA .368 → .299 (−70)K% 8.4% → 9.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.37%	÷1.071	×1.200	—	—	9.37%
BB% (unintentional) /PA	8.37%	÷1.033	×0.690	—	×0.940	5.25%
HBP% /PA	1.20%	—	×0.940	—	×0.940	1.06%
Singles /BIP	26.93%	÷0.954	×0.930	×0.950	×0.940	23.44%
Doubles /BIP	4.49%	÷0.971	×0.830	×0.950	×0.940	3.43%
Triples /BIP	1.00%	÷0.987	×0.920	×0.950	×0.940	0.83%
Home runs /BIP	2.99%	÷1.196	×0.700	—	×0.940	1.65%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 139, 1B 91, 2B 94, 3B 97, K 114, BB 107 — applied at half strength. Age: age 39 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (11.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .368 → .299; ISO .140 → .096; BABIP .328 → .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 AAAPiratas de Campeche · 184 PAwOBA .368 → .296 (−72)K% 9.2% → 10.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.24%	÷1.024	×1.200	—	—	10.83%
BB% (unintentional) /PA	8.15%	÷0.986	×0.690	—	×0.940	5.37%
HBP% /PA	0.54%	—	×0.940	—	×0.940	0.48%
Singles /BIP	25.00%	÷1.003	×0.930	×1.008	×0.940	21.97%
Doubles /BIP	7.43%	÷0.953	×0.830	×1.008	×0.940	6.14%
Triples /BIP	0.00%	÷0.959	×0.920	×1.008	×0.940	0.00%
Home runs /BIP	3.38%	÷1.263	×0.700	—	×0.940	1.76%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 153, 1B 101, 2B 91, 3B 92, K 105, BB 97 — applied at half strength. Age: age 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .368 → .296; ISO .158 → .106; BABIP .333 → .284. 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 AAAToros de Tijuana · 481 PAwOBA .342 → .300 (−42)K% 7.7% → 8.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.69%	÷1.062	×1.200	—	—	8.69%
BB% (unintentional) /PA	7.90%	÷1.055	×0.690	—	×0.940	4.86%
HBP% /PA	0.83%	—	×0.940	—	×0.940	0.73%
Singles /BIP	27.11%	÷0.967	×0.930	×1.026	×0.940	25.15%
Doubles /BIP	5.12%	÷0.926	×0.830	×1.026	×0.940	4.42%
Triples /BIP	0.51%	÷0.941	×0.920	×1.026	×0.940	0.48%
Home runs /BIP	1.53%	÷1.278	×0.700	—	×0.940	0.79%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 93, 2B 85, 3B 88, K 112, BB 111 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .342 → .300; ISO .098 → .075; BABIP .328 → .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).

2015 AAAAcereros del Norte · 483 PAwOBA .384 → .314 (−69)K% 10.4% → 11.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.35%	÷1.063	×1.200	—	—	11.69%
BB% (unintentional) /PA	6.63%	÷0.979	×0.690	—	×0.940	4.39%
HBP% /PA	0.41%	—	×0.940	—	×0.940	0.37%
Singles /BIP	27.48%	÷0.988	×0.930	×1.014	×0.940	24.65%
Doubles /BIP	7.38%	÷1.051	×0.830	×1.014	×0.940	5.56%
Triples /BIP	0.51%	÷1.150	×0.920	×1.014	×0.940	0.39%
Home runs /BIP	3.31%	÷1.052	×0.700	—	×0.940	2.07%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 110, 3B 130, K 113, BB 96 — 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 ×1.014.

Result: wOBA .384 → .314; ISO .163 → .114; BABIP .362 → .309. 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 AAAAcereros del Norte · 478 PAwOBA .353 → .279 (−74)K% 12.6% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.55%	÷0.939	×1.200	—	—	16.04%
BB% (unintentional) /PA	6.07%	÷1.032	×0.690	—	×0.940	3.81%
HBP% /PA	1.05%	—	×0.940	—	×0.940	0.92%
Singles /BIP	26.88%	÷1.019	×0.930	×0.976	×0.940	22.51%
Doubles /BIP	6.18%	÷0.995	×0.830	×0.976	×0.940	4.73%
Triples /BIP	0.54%	÷1.150	×0.920	×0.976	×0.940	0.39%
Home runs /BIP	2.96%	÷0.952	×0.700	—	×0.940	2.04%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 104, 2B 99, 3B 130, K 88, BB 106 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .353 → .279; ISO .139 → .102; BABIP .342 → .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).

2008 AAConnecticut Defenders · 450 PAwOBA .345 → .293 (−52)K% 14.9% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷1.000	×1.220	—	—	18.16%
BB% (unintentional) /PA	3.56%	÷1.000	×0.700	—	×0.968	2.41%
HBP% /PA	0.89%	—	×0.850	—	×0.968	0.73%
Singles /BIP	22.38%	÷1.000	×0.970	×0.978	×0.968	20.55%
Doubles /BIP	8.78%	÷1.000	×0.860	×0.978	×0.968	7.15%
Triples /BIP	1.13%	÷1.000	×0.950	×0.978	×0.968	1.02%
Home runs /BIP	3.40%	÷1.000	×0.780	—	×0.968	2.57%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.978.

Result: wOBA .345 → .293; ISO .179 → .142; BABIP .330 → .291. 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 — .