Jonathan Jones

PosCF

B/TR/R

Born1989-08-02

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	27	AAAVaqueros Unio…	271	.245/.343/.412	8	7	72	—	.211/.287/.343
2018	28	INTLCaneros de lo…	174	.192/.295/.298	3	9	73	—
2019	29	AAA/INTL2 orgs	574	.343/.410/.485	11	33	114	—	.300/.361/.437

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	21	A	Lansing Lugnuts	—	143	124	37	4	1	1	15	23	3	10	5	298	387	371	758	73	356	16	10	347	77	—	—	—	—	—	—
2012	22	A+	Dunedin Blue Jays	—	372	320	85	16	1	0	34	54	11	25	4	266	356	322	678	56	320	15	9	310	65	—	—	—	—	—	—
2012	22	INTL	Canberra Cavalry	—	32	31	8	0	0	1	1	5	0	2	3	258	281	355	636	97	280	16	3	285	79	—	—	—	—	—	—
2013	23	AA	New Hampshire Fisher Cats	—	16	13	2	0	0	0	2	0	1	1	0	154	312	154	466		154	0	12	246	32	—	—	—	—	—	—
2013	23	A+	Dunedin Blue Jays	—	107	97	22	5	1	0	10	15	0	8	0	227	299	299	598	72	268	14	9	276	38	—	—	—	—	—	—
2014	24	AA	New Hampshire Fisher Cats	—	196	172	40	7	2	1	16	26	1	7	3	233	302	314	616	81	269	13	8	272	50	—	—	—	—	—	—
2016	26	AAA	Vaqueros de la Laguna	—	81	67	19	2	0	4	12	6	1	1	3	284	400	493	893	209	263	7	15	392	104	—	—	—	—	—	—
2017	27	AAA	Vaqueros Union Laguna	—	271	233	57	11	2	8	28	48	7	7	6	245	343	412	755	167	275	18	10	337	72	—	—	—	—	—	—
2018	28	INTL	Caneros de los Mochis	—	174	151	29	5	1	3	14	31	8	9	3	192	295	298	593	106	220	18	8	276	73	—	—	—	—	—	—
2019	29	AAA	Leones de Yucatan	—	450	391	138	21	7	10	36	73	14	31	9	353	426	519	945	166	414	16	8	411	117	—	—	—	—	—	—
2019	29	INTL	Caneros de los Mochis	—	124	114	35	4	0	1	7	15	1	2	1	307	352	368	721	61	347	12	6	322	104	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	21	A MLE	Lansing Lugnuts	—	143	129	33	3	1	1	10	32	3	10	5	256	324	318	642	62	324	22	7	282	77	—	—	—	—	—	—
2012	22	A+ MLE	Dunedin Blue Jays	—	372	330	77	14	1	0	24	77	11	25	4	233	307	282	589	48	296	21	6	264	65	—	—	—	—	—	—
2013	23	AA MLE	New Hampshire Fisher Cats	—	16	14	2	0	0	0	1	0	1	1	0	143	250	143	393		153	0	6	215	32	—	—	—	—	—	—
2013	23	A+ MLE	Dunedin Blue Jays	—	107	101	20	5	1	0	6	21	0	8	0	198	243	267	510	69	245	20	6	225	38	—	—	—	—	—	—
2014	24	AA MLE	New Hampshire Fisher Cats	—	196	177	40	7	2	1	11	33	1	7	3	226	275	305	580	79	256	17	6	242	50	—	—	—	—	—	—
2016	26	AAA MLE	Vaqueros de la Laguna	—	81	71	18	2	0	3	8	7	1	1	3	254	338	408	746	155	237	9	10	322	104	—	—	—	—	—	—
2017	27	AAA MLE	Vaqueros Union Laguna	—	271	242	51	10	2	6	19	58	7	7	6	211	287	343	630	132	240	21	7	274	72	—	—	—	—	—	—
2019	29	AAA MLE	Leones de Yucatan	—	450	403	121	18	5	9	24	86	14	31	9	300	361	437	797	136	353	19	5	341	117	—	—	—	—	—	—
2011	21	A MLE	Lansing Lugnuts	—	143	129	33	3	1	1	10	32	3	10	5	256	324	318	642	62	330	22	7	282	77	—	—	—	—	—	—
2011	21	A RAW	Lansing Lugnuts	—	143	124	37	4	1	1	15	23	3	10	5	298	387	371	758	73	356	16	10	347	77	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	404	360	84	15	1	0	26	83	11	27	7	233	305	281	585	47	303	21	6	264	65	—	—	—	—	—	—
2012	22	A+ RAW	2 teams	—	404	351	93	16	1	1	35	59	11	27	7	265	350	325	675	60	316	15	9	308	65	—	—	—	—	—	—
2013	23	A+ MLE	2 teams	—	123	114	22	5	1	0	8	21	1	9	0	193	252	254	506	61	237	17	7	224	38	—	—	—	—	—	—
2013	23	A+ RAW	2 teams	—	123	110	24	5	1	0	12	15	1	9	0	218	301	282	583	64	253	12	10	272	38	—	—	—	—	—	—
2014	24	AA MLE	New Hampshire Fisher Cats	—	196	177	40	7	2	1	11	33	1	7	3	226	275	305	580	79	273	17	6	242	50	—	—	—	—	—	—
2014	24	AA RAW	New Hampshire Fisher Cats	—	196	172	40	7	2	1	16	26	1	7	3	233	302	314	616	81	269	13	8	272	50	—	—	—	—	—	—
2016	26	AAA MLE	Vaqueros de la Laguna	—	81	71	18	2	0	3	8	7	1	1	3	254	338	408	746	155	246	9	10	322	104	—	—	—	—	—	—
2016	26	AAA RAW	Vaqueros de la Laguna	—	81	67	19	2	0	4	12	6	1	1	3	284	400	493	893	209	263	7	15	392	104	—	—	—	—	—	—
2017	27	AAA MLE	Vaqueros Union Laguna	—	271	242	51	10	2	6	19	58	7	7	6	211	287	343	630	132	251	21	7	274	72	—	—	—	—	—	—
2017	27	AAA RAW	Vaqueros Union Laguna	—	271	233	57	11	2	8	28	48	7	7	6	245	343	412	755	167	275	18	10	337	72	—	—	—	—	—	—
2018	28	INTL MLE	Caneros de los Mochis	—	174	151	29	5	1	3	14	31	8	9	3	192	295	298	593	106	220	18	8	—	—	—	—	—	—	—	—
2018	28	INTL RAW	Caneros de los Mochis	—	174	151	29	5	1	3	14	31	8	9	3	192	295	298	593	106	220	18	8	276	73	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	574	518	155	23	7	11	30	110	15	33	10	299	355	434	790	135	362	19	5	341	117	—	—	—	—	—	—
2019	29	AAA RAW	2 teams	—	574	505	173	25	7	11	43	88	15	33	10	343	410	485	895	143	398	15	7	392	117	—	—	—	—	—	—
2011	21	A MLE	Lansing Lugnuts	—	143	129	33	3	1	1	10	32	3	10	5	256	324	318	642	62	324	22	7	282	77	—	—	—	—	—	—
2012	22	A+ MLE	2 teams	—	404	364	84	15	1	0	26	83	11	27	7	231	305	277	582	47	296	21	6	264	65	—	—	—	—	—	—
2013	23	A+ MLE	2 teams	—	123	113	22	5	1	0	8	21	1	9	0	195	252	257	509	62	233	17	7	224	38	—	—	—	—	—	—
2014	24	AA MLE	New Hampshire Fisher Cats	—	196	182	40	7	2	1	11	33	1	7	3	220	275	297	572	77	256	17	6	242	50	—	—	—	—	—	—
2016	26	AAA MLE	Vaqueros de la Laguna	—	81	72	18	2	0	3	8	7	1	1	3	250	338	403	740	153	237	9	10	322	104	—	—	—	—	—	—
2017	27	AAA MLE	Vaqueros Union Laguna	—	271	243	51	10	2	6	19	58	7	7	6	210	287	342	629	132	240	21	7	274	72	—	—	—	—	—	—
2019	29	AAA MLE	2 teams	—	574	524	155	23	7	11	30	110	15	33	10	296	355	429	785	134	353	19	5	341	117	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1966	1762	432	70	15	25	126	375	47	103	37	245	313	344	657	99	298	19	6	263	64	-83	+6	+0	+7	+43	-2.8
/ 162G	—	MLE		—	650	583	142	23	5	8	42	124	16	34	12	244	312	341	654	98	296	19	6	263	64	-27	+2	+0	+2	+14	-0.9

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 AAALeones de Yucatan · 450 PAwOBA .401 → .341 (−59)K% 16.2% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.22%	÷1.018	×1.200	—	—	19.12%
BB% (unintentional) /PA	7.78%	÷0.986	×0.690	—	×0.972	5.29%
HBP% /PA	3.11%	—	×0.940	—	×0.972	2.84%
Singles /BIP	31.45%	÷0.992	×0.930	×0.950	×0.972	27.22%
Doubles /BIP	6.60%	÷0.910	×0.830	×0.950	×0.972	5.56%
Triples /BIP	2.20%	÷1.150	×0.920	×0.950	×0.972	1.63%
Home runs /BIP	3.14%	÷0.792	×0.700	—	×0.972	2.70%

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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .401 → .341; ISO .166 → .142; BABIP .414 → .353. 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 AAAVaqueros Union Laguna · 271 PAwOBA .328 → .274 (−54)K% 17.7% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.71%	÷0.993	×1.200	—	—	21.40%
BB% (unintentional) /PA	9.96%	÷0.991	×0.690	—	×0.992	6.88%
HBP% /PA	2.58%	—	×0.940	—	×0.992	2.41%
Singles /BIP	19.46%	÷1.039	×0.930	×1.008	×0.992	17.41%
Doubles /BIP	5.95%	÷0.972	×0.830	×1.008	×0.992	5.08%
Triples /BIP	1.08%	÷1.150	×0.920	×1.008	×0.992	0.86%
Home runs /BIP	4.32%	÷0.879	×0.700	—	×0.992	3.42%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 108, 2B 94, 3B 130, K 99, BB 98 — 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 ×1.008.

Result: wOBA .328 → .274; ISO .167 → .138; BABIP .275 → .240. 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 AAAVaqueros de la Laguna · 81 PAwOBA .382 → .322 (−60)K% 7.4% → 9.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.41%	÷0.986	×1.200	—	—	9.02%
BB% (unintentional) /PA	14.81%	÷1.051	×0.690	—	×1.003	9.75%
HBP% /PA	1.23%	—	×0.940	—	×1.003	1.16%
Singles /BIP	21.31%	÷0.963	×0.930	×0.963	×1.003	19.89%
Doubles /BIP	3.28%	÷0.992	×0.830	×0.963	×1.003	2.65%
Triples /BIP	0.00%	÷1.046	×0.920	×0.963	×1.003	0.00%
Home runs /BIP	6.56%	÷0.929	×0.700	—	×1.003	4.95%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 93, 2B 98, 3B 109, K 97, BB 110 — 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 ×0.963.

Result: wOBA .382 → .322; ISO .209 → .169; BABIP .263 → .237. 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 AANew Hampshire Fisher Cats · 196 PAwOBA .265 → .242 (−24)K% 13.3% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.27%	÷0.976	×1.220	—	—	16.57%
BB% (unintentional) /PA	8.16%	÷1.062	×0.700	—	×0.998	5.37%
HBP% /PA	0.51%	—	×0.850	—	×0.998	0.43%
Singles /BIP	20.55%	÷1.012	×0.970	×1.004	×0.998	19.73%
Doubles /BIP	4.79%	÷0.952	×0.860	×1.004	×0.998	4.34%
Triples /BIP	1.37%	÷0.921	×0.950	×1.004	×0.998	1.42%
Home runs /BIP	0.68%	÷1.066	×0.780	—	×0.998	0.50%

Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 84, K 95, BB 112 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .265 → .242; ISO .081 → .077; BABIP .269 → .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).

2013 A+Dunedin Blue Jays · 107 PAwOBA .265 → .225 (−40)K% 14.0% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.02%	÷1.007	×1.420	—	—	19.76%
BB% (unintentional) /PA	8.41%	÷1.032	×0.750	—	×0.988	6.04%
HBP% /PA	0.00%	—	×0.930	—	×0.988	0.00%
Singles /BIP	19.51%	÷1.025	×0.920	×1.021	×0.988	17.65%
Doubles /BIP	6.10%	÷1.023	×0.960	×1.021	×0.988	5.77%
Triples /BIP	1.22%	÷0.900	×0.810	×1.021	×0.988	1.11%
Home runs /BIP	0.00%	÷1.160	×0.880	—	×0.988	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 132, 1B 105, 2B 105, 3B 80, K 101, BB 106 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .265 → .225; ISO .072 → .065; BABIP .268 → .245. 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 AANew Hampshire Fisher Cats · 16 PAwOBA .241 → .215 (−26)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷0.969	×1.220	—	—	0.00%
BB% (unintentional) /PA	12.50%	÷1.007	×0.700	—	×1.012	8.79%
HBP% /PA	6.25%	—	×0.850	—	×1.012	5.38%
Singles /BIP	15.38%	÷0.986	×0.970	—	×1.012	15.32%
Doubles /BIP	0.00%	÷1.042	×0.860	—	×1.012	0.00%
Triples /BIP	0.00%	÷1.068	×0.950	—	×1.012	0.00%
Home runs /BIP	0.00%	÷0.975	×0.780	—	×1.012	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 95, 1B 97, 2B 108, 3B 114, K 94, BB 101 — 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).

Result: wOBA .241 → .215; ISO .000 → .000; BABIP .154 → .153. 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+Dunedin Blue Jays · 372 PAwOBA .302 → .264 (−38)K% 14.5% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.52%	÷1.001	×1.420	—	—	20.58%
BB% (unintentional) /PA	8.87%	÷1.020	×0.750	—	×0.998	6.51%
HBP% /PA	2.96%	—	×0.930	—	×0.998	2.74%
Singles /BIP	25.56%	÷1.034	×0.920	×1.050	×0.998	23.83%
Doubles /BIP	6.02%	÷1.111	×0.960	×1.050	×0.998	5.45%
Triples /BIP	0.38%	÷1.014	×0.810	×1.050	×0.998	0.31%
Home runs /BIP	0.00%	÷0.944	×0.880	—	×0.998	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 107, 2B 122, 3B 103, K 100, BB 104 — 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 ×1.050.

Result: wOBA .302 → .264; ISO .056 → .050; BABIP .320 → .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).

2011 ALansing Lugnuts · 143 PAwOBA .340 → .282 (−58)K% 16.1% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.08%	÷0.963	×1.360	—	—	22.71%
BB% (unintentional) /PA	10.49%	÷1.007	×0.690	—	—	7.19%
HBP% /PA	2.10%	—	×0.780	—	—	1.64%
Singles /BIP	30.69%	÷1.001	×0.920	×1.009	—	28.49%
Doubles /BIP	3.96%	÷1.103	×0.830	×1.009	—	3.01%
Triples /BIP	0.99%	÷0.982	×0.910	×1.009	—	0.93%
Home runs /BIP	0.99%	÷0.921	×0.800	—	—	0.86%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 100, 2B 121, 3B 96, K 93, BB 101 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .340 → .282; ISO .073 → .059; BABIP .356 → .324. 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 — .