Jacob Heyward

PosLF

B/TR/R

Born1995-08-01

Age (2027)31

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	23	AA/INTL2 orgs	520	.207/.354/.347	11	11	64	—	.172/.288/.280
2021	25	AASF	246	.208/.347/.446	12	2	68	—	.167/.265/.347
2022	26	AASF	370	.201/.306/.336	11	1	39	—	.163/.240/.268

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)
2016	20	ROK	AZL Giants	—	125	95	32	10	5	1	24	30	5	10	2	337	492	579	1.071	242	477	24	19	463	97	—	—	—	—	—	—
2017	21	A	Augusta GreenJackets	—	412	359	80	16	0	10	42	110	8	5	7	223	318	351	669	128	292	27	10	304	44	—	—	—	—	—	—
2018	22	A+	San Jose Giants	—	477	407	105	26	1	12	61	104	4	14	8	258	360	415	775	157	315	22	13	346	72	—	—	—	—	—	—
2019	23	AA	Richmond Flying Squirrels	—	476	383	80	20	0	10	80	147	10	10	7	209	359	339	699	131	306	31	17	325	61	—	—	—	—	—	—
2019	23	INTL	Scottsdale Scorpions	—	44	38	7	4	1	1	6	18	0	1	0	184	295	421	717	237	316	41	14	316	100	—	—	—	—	—	—
2021	25	AA	Richmond Flying Squirrels	—	246	202	42	12	0	12	34	71	9	2	3	208	347	446	792	238	250	29	14	354	68	—	—	—	—	—	—
2022	26	AA	Richmond Flying Squirrels	—	370	318	64	8	1	11	44	123	4	1	1	201	306	336	642	135	282	33	12	293	39	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	20	ROK MLE	AZL Giants	—	125	105	23	7	3	1	14	43	5	10	2	219	339	371	710	152	348	34	11	312	97	—	—	—	—	—	—
2017	21	A MLE	Augusta GreenJackets	—	412	373	66	12	0	9	28	154	8	5	7	177	249	282	531	105	263	37	7	233	44	—	—	—	—	—	—
2018	22	A+ MLE	San Jose Giants	—	477	424	87	20	1	11	44	145	4	14	8	205	286	335	621	130	273	30	9	274	72	—	—	—	—	—	—
2019	23	AA MLE	Richmond Flying Squirrels	—	476	407	70	17	0	9	56	184	10	10	7	172	288	280	568	108	277	39	12	259	61	—	—	—	—	—	—
2021	25	AA MLE	Richmond Flying Squirrels	—	246	216	36	9	0	10	20	86	9	2	3	167	265	347	613	181	209	35	8	268	68	—	—	—	—	—	—
2022	26	AA MLE	Richmond Flying Squirrels	—	370	332	54	6	1	9	30	152	4	1	1	163	240	268	509	105	252	41	8	226	39	—	—	—	—	—	—
2016	20	ROK MLE	AZL Giants	—	125	105	23	7	3	1	14	43	5	10	2	219	339	371	710	152	355	34	11	312	97	—	—	—	—	—	—
2016	20	ROK RAW	AZL Giants	—	125	95	32	10	5	1	24	30	5	10	2	337	492	579	1.071	242	477	24	19	463	97	—	—	—	—	—	—
2017	21	A MLE	Augusta GreenJackets	—	412	373	66	12	0	9	28	154	8	5	7	177	249	282	531	105	270	37	7	233	44	—	—	—	—	—	—
2017	21	A RAW	Augusta GreenJackets	—	412	359	80	16	0	10	42	110	8	5	7	223	318	351	669	128	292	27	10	304	44	—	—	—	—	—	—
2018	22	A+ MLE	San Jose Giants	—	477	424	87	20	1	11	44	145	4	14	8	205	286	335	621	130	279	30	9	274	72	—	—	—	—	—	—
2018	22	A+ RAW	San Jose Giants	—	477	407	105	26	1	12	61	104	4	14	8	258	360	415	775	157	315	22	13	346	72	—	—	—	—	—	—
2019	23	AA MLE	2 teams	—	520	446	76	19	0	9	61	201	10	11	7	170	284	274	558	103	280	39	12	259	61	—	—	—	—	—	—
2019	23	AA RAW	2 teams	—	520	421	87	24	1	11	86	165	10	11	7	207	354	347	701	140	306	32	17	325	61	—	—	—	—	—	—
2021	25	AA MLE	Richmond Flying Squirrels	—	246	216	36	9	0	10	20	86	9	2	3	167	265	347	613	181	215	35	8	268	68	—	—	—	—	—	—
2021	25	AA RAW	Richmond Flying Squirrels	—	246	202	42	12	0	12	34	71	9	2	3	208	347	446	792	238	250	29	14	354	68	—	—	—	—	—	—
2022	26	AA MLE	Richmond Flying Squirrels	—	370	332	54	6	1	9	30	152	4	1	1	163	240	268	509	105	257	41	8	226	39	—	—	—	—	—	—
2022	26	AA RAW	Richmond Flying Squirrels	—	370	318	64	8	1	11	44	123	4	1	1	201	306	336	642	135	282	33	12	293	39	—	—	—	—	—	—
2016	20	ROK MLE	AZL Giants	—	125	105	23	7	3	1	14	43	5	10	2	219	339	371	710	152	348	34	11	312	97	—	—	—	—	—	—
2017	21	A MLE	Augusta GreenJackets	—	412	373	66	12	0	9	28	154	8	5	7	177	249	282	531	105	263	37	7	233	44	—	—	—	—	—	—
2018	22	A+ MLE	San Jose Giants	—	477	426	87	20	1	11	44	145	4	14	8	204	286	333	619	129	273	30	9	274	72	—	—	—	—	—	—
2019	23	AA MLE	2 teams	—	520	444	76	19	0	9	61	201	10	11	7	171	284	275	559	104	277	39	12	259	61	—	—	—	—	—	—
2021	25	AA MLE	Richmond Flying Squirrels	—	246	215	36	9	0	10	20	86	9	2	3	167	265	349	614	181	209	35	8	268	68	—	—	—	—	—	—
2022	26	AA MLE	Richmond Flying Squirrels	—	370	333	54	6	1	9	30	152	4	1	1	162	240	267	508	105	252	41	8	226	39	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2150	1896	342	73	5	49	197	781	40	43	28	180	271	302	573	121	271	36	9	256	59	-104	-3	+0	-23	+47	-8.5
/ 162G	—	MLE		—	650	573	104	22	2	15	60	236	12	13	8	182	273	305	578	124	273	36	9	256	59	-32	-1	+0	-7	+14	-2.6

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.

2022 AARichmond Flying Squirrels · 370 PAwOBA .288 → .226 (−62)K% 33.2% → 41.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.24%	÷0.984	×1.220	—	—	41.20%
BB% (unintentional) /PA	11.89%	÷1.018	×0.700	—	×0.978	8.00%
HBP% /PA	1.08%	—	×0.850	—	×0.978	0.90%
Singles /BIP	22.56%	÷0.991	×0.970	×0.961	×0.978	20.76%
Doubles /BIP	4.10%	÷1.011	×0.860	×0.961	×0.978	3.28%
Triples /BIP	0.51%	÷0.900	×0.950	×0.961	×0.978	0.51%
Home runs /BIP	5.64%	÷0.929	×0.780	—	×0.978	4.63%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 98, 2B 102, 3B 80, K 97, BB 104 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .288 → .226; ISO .135 → .106; BABIP .282 → .252. 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).

2021 AARichmond Flying Squirrels · 246 PAwOBA .346 → .268 (−78)K% 28.9% → 35.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.86%	÷1.004	×1.220	—	—	35.07%
BB% (unintentional) /PA	13.82%	÷1.134	×0.690	—	×0.988	8.31%
HBP% /PA	3.66%	—	×0.850	—	×0.988	3.07%
Singles /BIP	13.74%	÷0.970	×0.940	×0.958	×0.988	12.60%
Doubles /BIP	9.16%	÷1.098	×0.870	×0.958	×0.988	6.87%
Triples /BIP	0.00%	÷1.150	×0.920	×0.958	×0.988	0.00%
Home runs /BIP	9.16%	÷0.923	×0.780	—	×0.988	7.65%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 94, 2B 120, 3B 130, K 101, BB 127 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.

Result: wOBA .346 → .268; ISO .238 → .194; BABIP .250 → .209. 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).

2019 AARichmond Flying Squirrels · 476 PAwOBA .320 → .259 (−61)K% 30.9% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.88%	÷0.975	×1.220	—	—	38.63%
BB% (unintentional) /PA	16.81%	÷1.011	×0.700	—	×1.012	11.77%
HBP% /PA	2.10%	—	×0.850	—	×1.012	1.81%
Singles /BIP	21.19%	÷1.020	×0.970	×0.950	×1.012	19.36%
Doubles /BIP	8.47%	÷0.916	×0.860	×0.950	×1.012	7.65%
Triples /BIP	0.00%	÷1.147	×0.950	×0.950	×1.012	0.00%
Home runs /BIP	4.24%	÷0.890	×0.780	—	×1.012	3.76%

Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 104, 2B 83, 3B 129, K 95, BB 102 — 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 ×0.950.

Result: wOBA .320 → .259; ISO .131 → .112; BABIP .306 → .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).

2018 A+San Jose Giants · 477 PAwOBA .340 → .274 (−66)K% 21.8% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.80%	÷0.959	×1.340	—	—	30.47%
BB% (unintentional) /PA	12.58%	÷0.971	×0.710	—	×0.998	9.18%
HBP% /PA	0.84%	—	×0.790	—	×0.998	0.66%
Singles /BIP	21.78%	÷0.987	×0.910	×0.972	×0.998	19.48%
Doubles /BIP	8.58%	÷0.991	×0.820	×0.972	×0.998	6.89%
Triples /BIP	0.33%	÷0.900	×0.760	×0.972	×0.998	0.27%
Home runs /BIP	3.96%	÷0.924	×0.920	—	×0.998	3.93%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 92, BB 94 — 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 ×0.972.

Result: wOBA .340 → .274; ISO .157 → .135; BABIP .315 → .273. 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 AAugusta GreenJackets · 412 PAwOBA .297 → .233 (−64)K% 26.7% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.70%	÷0.954	×1.340	—	—	37.51%
BB% (unintentional) /PA	10.19%	÷0.997	×0.660	—	—	6.75%
HBP% /PA	1.94%	—	×0.770	—	—	1.50%
Singles /BIP	21.69%	÷1.010	×0.920	×1.010	—	19.97%
Doubles /BIP	6.43%	÷0.989	×0.820	×1.010	—	5.39%
Triples /BIP	0.00%	÷1.016	×0.940	×1.010	—	0.00%
Home runs /BIP	4.02%	÷0.818	×0.820	—	—	4.03%

Factors used: league row SAL. Park (home-season share, regressed): HR 64, 1B 102, 2B 98, 3B 103, K 91, BB 99 — 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 ×1.010.

Result: wOBA .297 → .233; ISO .128 → .109; BABIP .292 → .263. 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 ROKAZL Giants · 125 PAwOBA .454 → .312 (−143)K% 24.0% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷1.000	×1.440	—	—	34.56%
BB% (unintentional) /PA	18.40%	÷1.000	×0.620	—	×0.985	11.24%
HBP% /PA	4.00%	—	×0.720	—	×0.985	2.84%
Singles /BIP	24.62%	÷1.000	×0.820	×0.964	×0.985	19.17%
Doubles /BIP	15.38%	÷1.000	×0.720	×0.964	×0.985	10.52%
Triples /BIP	7.69%	÷1.000	×0.720	×0.964	×0.985	5.26%
Home runs /BIP	1.54%	÷1.000	×0.780	—	×0.985	1.18%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .454 → .312; ISO .242 → .166; BABIP .477 → .348. 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 — .