Jesus Navarro

PosSS

B/TR/R

Born1998-01-13

Age (2027)29

No MLB projection yet. Career stats below are historical.

Overview

A+LAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	19	ROKBluefield Blu…	197	.203/.267/.221	0	0	6	—	.181/.225/.198
2018	20	AOAK	211	.288/.364/.359	1	4	74	—	.253/.311/.311
2019	21	A+TOR	138	.198/.281/.231	0	2	18	—	.169/.237/.202

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)
2015	17	ROK	DSL Blue Jays	—	290	248	62	5	2	0	33	40	5	9	7	250	350	286	636	36	294	14	11	297	31	—	—	—	—	—	—
2016	18	ROK	GCL Blue Jays	—	236	203	46	6	2	0	27	32	1	4	3	227	320	276	596	49	267	14	11	275	29	—	—	—	—	—	—
2017	19	ROK	Bluefield Blue Jays	—	197	172	35	1	1	0	15	30	0	0	2	203	267	221	488	17	246	15	8	219	6	—	—	—	—	—	—
2018	20	A	Lansing Lugnuts	—	211	184	53	10	0	1	20	33	2	4	1	288	364	359	723	71	335	16	9	324	74	—	—	—	—	—	—
2019	21	A+	Dunedin Blue Jays	—	138	121	24	2	1	0	13	29	1	2	1	198	281	231	513	33	255	21	9	239	18	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	DSL Blue Jays	—	290	258	45	3	1	0	23	49	5	9	7	174	255	194	449	19	212	17	8	214	31	—	—	—	—	—	—
2016	18	ROK MLE	GCL Blue Jays	—	236	213	40	5	2	0	17	46	1	4	3	188	251	230	481	42	226	19	7	211	29	—	—	—	—	—	—
2017	19	ROK MLE	Bluefield Blue Jays	—	197	177	32	1	1	0	10	43	0	0	2	181	225	198	422	17	215	22	5	177	6	—	—	—	—	—	—
2018	20	A MLE	Lansing Lugnuts	—	211	190	48	8	0	1	14	45	2	4	1	253	311	311	621	58	306	21	7	277	74	—	—	—	—	—	—
2019	21	A+ MLE	Dunedin Blue Jays	—	138	124	21	2	1	0	10	43	1	2	1	169	237	202	439	32	234	31	7	195	18	—	—	—	—	—	—
2015	17	ROK MLE	DSL Blue Jays	—	290	258	45	3	1	0	23	49	5	9	7	174	255	194	449	19	212	17	8	214	31	—	—	—	—	—	—
2015	17	ROK RAW	DSL Blue Jays	—	290	248	62	5	2	0	33	40	5	9	7	250	350	286	636	36	294	14	11	297	31	—	—	—	—	—	—
2016	18	ROK MLE	GCL Blue Jays	—	236	213	40	5	2	0	17	46	1	4	3	188	251	230	481	42	238	19	7	211	29	—	—	—	—	—	—
2016	18	ROK RAW	GCL Blue Jays	—	236	203	46	6	2	0	27	32	1	4	3	227	320	276	596	49	267	14	11	275	29	—	—	—	—	—	—
2017	19	ROK MLE	Bluefield Blue Jays	—	197	177	32	1	1	0	10	43	0	0	2	181	225	198	422	17	239	22	5	177	6	—	—	—	—	—	—
2017	19	ROK RAW	Bluefield Blue Jays	—	197	172	35	1	1	0	15	30	0	0	2	203	267	221	488	17	246	15	8	219	6	—	—	—	—	—	—
2018	20	A MLE	Lansing Lugnuts	—	211	190	48	8	0	1	14	45	2	4	1	253	311	311	621	58	315	21	7	277	74	—	—	—	—	—	—
2018	20	A RAW	Lansing Lugnuts	—	211	184	53	10	0	1	20	33	2	4	1	288	364	359	723	71	335	16	9	324	74	—	—	—	—	—	—
2019	21	A+ MLE	Dunedin Blue Jays	—	138	124	21	2	1	0	10	43	1	2	1	169	237	202	439	32	253	31	7	195	18	—	—	—	—	—	—
2019	21	A+ RAW	Dunedin Blue Jays	—	138	121	24	2	1	0	13	29	1	2	1	198	281	231	513	33	255	21	9	239	18	—	—	—	—	—	—
2015	17	ROK MLE	DSL Blue Jays	—	290	260	45	3	1	0	23	49	5	9	7	173	255	192	448	19	212	17	8	214	31	—	—	—	—	—	—
2016	18	ROK MLE	GCL Blue Jays	—	236	216	40	5	2	0	17	46	1	4	3	185	251	227	478	42	226	19	7	211	29	—	—	—	—	—	—
2017	19	ROK MLE	Bluefield Blue Jays	—	197	185	32	1	1	0	10	43	0	0	2	173	225	189	414	16	215	22	5	177	6	—	—	—	—	—	—
2018	20	A MLE	Lansing Lugnuts	—	211	193	48	8	0	1	14	45	2	4	1	249	311	306	616	57	306	21	7	277	74	—	—	—	—	—	—
2019	21	A+ MLE	Dunedin Blue Jays	—	138	126	21	2	1	0	10	43	1	2	1	167	237	198	435	32	234	31	7	195	18	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1072	962	186	19	5	1	74	226	9	19	14	193	257	227	484	33	248	21	7	216	33	-86	-2	+0	+11	+23	-5.4
/ 162G	—	MLE		—	650	583	114	12	3	1	45	137	5	12	8	196	259	232	491	36	250	21	7	216	33	-52	-1	+0	+7	+14	-3.2

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 A+Dunedin Blue Jays · 138 PAwOBA .237 → .195 (−42)K% 21.0% → 30.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.01%	÷0.966	×1.420	—	—	30.89%
BB% (unintentional) /PA	9.42%	÷0.993	×0.750	—	×1.027	7.31%
HBP% /PA	0.72%	—	×0.930	—	×1.027	0.69%
Singles /BIP	22.83%	÷1.029	×0.920	—	×1.027	20.97%
Doubles /BIP	2.17%	÷0.992	×0.960	—	×1.027	2.16%
Triples /BIP	1.09%	÷1.150	×0.810	—	×1.027	0.79%
Home runs /BIP	0.00%	÷1.194	×0.880	—	×1.027	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 139, 1B 106, 2B 98, 3B 130, K 93, BB 99 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .237 → .195; ISO .033 → .026; BABIP .255 → .234. 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).

2018 ALansing Lugnuts · 211 PAwOBA .324 → .277 (−47)K% 15.6% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.64%	÷0.989	×1.360	—	—	21.51%
BB% (unintentional) /PA	9.48%	÷0.995	×0.690	—	×1.030	6.77%
HBP% /PA	0.95%	—	×0.780	—	×1.030	0.76%
Singles /BIP	27.81%	÷1.018	×0.920	×1.003	×1.030	25.98%
Doubles /BIP	6.62%	÷1.033	×0.830	×1.003	×1.030	5.50%
Triples /BIP	0.00%	÷1.150	×0.910	×1.003	×1.030	0.00%
Home runs /BIP	0.66%	÷1.034	×0.800	—	×1.030	0.53%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 104, 2B 107, 3B 130, K 98, BB 99 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .324 → .277; ISO .071 → .058; BABIP .335 → .306. 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 ROKBluefield Blue Jays · 197 PAwOBA .214 → .177 (−37)K% 15.2% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.23%	÷1.000	×1.420	—	—	21.62%
BB% (unintentional) /PA	7.61%	÷1.000	×0.640	—	×1.008	4.91%
HBP% /PA	0.00%	—	×0.740	—	×1.008	0.00%
Singles /BIP	23.24%	÷1.000	×0.840	×1.037	×1.008	20.40%
Doubles /BIP	0.70%	÷1.000	×0.740	×1.037	×1.008	0.54%
Triples /BIP	0.70%	÷1.000	×0.740	×1.037	×1.008	0.54%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.008	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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .214 → .177; ISO .017 → .014; BABIP .246 → .215. 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 ROKGCL Blue Jays · 236 PAwOBA .270 → .211 (−59)K% 13.6% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.56%	÷1.000	×1.440	—	—	19.53%
BB% (unintentional) /PA	11.44%	÷1.000	×0.620	—	×1.022	7.25%
HBP% /PA	0.42%	—	×0.720	—	×1.022	0.31%
Singles /BIP	22.22%	÷1.000	×0.820	×1.031	×1.022	19.21%
Doubles /BIP	3.51%	÷1.000	×0.720	×1.031	×1.022	2.66%
Triples /BIP	1.17%	÷1.000	×0.720	×1.031	×1.022	0.89%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.022	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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .270 → .211; ISO .049 → .038; BABIP .267 → .226. 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 DSLDSL Blue Jays · 290 PAwOBA .293 → .214 (−79)K% 13.8% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.79%	÷1.000	×1.220	—	—	16.83%
BB% (unintentional) /PA	11.38%	÷1.000	×0.700	—	×1.022	8.14%
HBP% /PA	1.72%	—	×0.700	—	×1.022	1.23%
Singles /BIP	26.44%	÷1.000	×0.680	×1.050	×1.022	19.30%
Doubles /BIP	2.40%	÷1.000	×0.600	×1.050	×1.022	1.55%
Triples /BIP	0.96%	÷1.000	×0.600	×1.050	×1.022	0.62%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL 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 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .293 → .214; ISO .036 → .024; BABIP .294 → .212. 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).