Jacob May

PosCF

B/TS/R

Born1992-01-23

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	24	AAACWS	321	.266/.309/.352	1	19	67	—	.246/.281/.325
2017	25	AAACWS	467	.248/.307/.325	4	31	55	—	.236/.280/.302
2017	25	MLBCWS	42	.056/.150/.056	0	0	-39	-0.4
2018	26	AAACWS	342	.255/.304/.341	2	15	47	—	.222/.259/.284
2019	27	No MLB games played
2020	28	No MLB games played
2021	29	No MLB games played
2022	30	No MLB games played
2023	31	No MLB games played
2024	32	No MLB games played
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -0.4

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)
2013	21	A	Kannapolis Intimidators	—	230	206	59	6	3	8	16	43	4	19	5	286	350	461	811	175	325	19	7	354	88	—	—	—	—	—	—
2013	21	ROK	Great Falls Voyagers	—	55	45	17	1	1	0	7	6	2	5	1	378	481	444	926	67	436	11	13	415	97	—	—	—	—	—	—
2013	21	INTL	Sydney Blue Sox	—	198	182	49	7	3	4	13	16	2	17	4	269	325	407	731	137	278	8	7	325	106	—	—	—	—	—	—
2014	22	A+	Winston-Salem Dash	—	472	415	107	31	10	2	42	71	1	37	8	258	328	395	723	137	305	15	9	314	64	—	—	—	—	—	—
2015	23	AA	Birmingham Barons	—	432	389	107	15	1	2	29	73	3	37	17	275	330	334	664	59	332	17	7	296	74	—	—	—	—	—	—
2015	23	ROK	ACL White Sox	—	17	16	4	1	0	0	1	3	0	1	0	250	294	312	607	62	308	18	6	276	12	—	—	—	—	—	—
2016	24	AAA	Charlotte Knights	—	321	301	80	19	2	1	15	72	4	19	8	266	309	352	662	86	346	22	5	298	67	—	—	—	—	—	—
2017	25	MLB	Chicago White Sox	—	42	36	2	0	0	0	3	17	1	0	0	56	150	56	206		105	40	7	110	-39	-7	+0	+0	+2	+1	-0.4
2017	25	AAA	Charlotte Knights	—	467	415	103	10	5	4	30	112	5	31	8	248	307	325	632	77	331	24	6	278	55	—	—	—	—	—	—
2018	26	AAA	Charlotte Knights	—	342	314	80	19	1	2	20	73	2	15	11	255	304	341	644	86	325	21	6	287	47	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	42	36	2	0	0	0	3	17	1	0	0	56	150	56	206		105	40	7	110	-39	-7	+0	+0	+2	+1	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	21	A MLE	Kannapolis Intimidators	—	230	210	53	5	3	6	12	56	4	19	5	252	305	390	696	138	306	24	5	299	88	—	—	—	—	—	—
2013	21	ROK MLE	Great Falls Voyagers	—	55	48	15	1	1	0	4	9	2	5	1	312	389	375	764	62	347	16	7	312	97	—	—	—	—	—	—
2014	22	A+ MLE	Winston-Salem Dash	—	472	431	101	25	7	2	26	105	1	37	8	234	279	339	618	104	291	22	6	263	64	—	—	—	—	—	—
2015	23	AA MLE	Birmingham Barons	—	432	398	108	17	1	2	20	91	3	37	17	271	311	334	645	63	333	21	5	277	74	—	—	—	—	—	—
2015	23	ROK MLE	ACL White Sox	—	17	16	3	1	0	0	1	4	0	1	0	188	235	250	485	62	236	24	6	186	12	—	—	—	—	—	—
2016	24	AAA MLE	Charlotte Knights	—	321	305	75	17	2	1	11	82	4	19	8	246	281	325	606	79	334	26	3	267	67	—	—	—	—	—	—
2017	25	MLB MLE	Chicago White Sox	—	42	36	2	0	0	0	3	17	1	0	0	56	150	56	206		105	40	7	110	-39	-7	+0	+0	+2	+1	-0.4
2017	25	AAA MLE	Charlotte Knights	—	467	424	100	9	5	3	21	141	5	31	8	236	280	302	582	66	327	30	4	249	55	—	—	—	—	—	—
2018	26	AAA MLE	Charlotte Knights	—	342	320	71	15	1	1	14	89	2	15	11	222	259	284	543	62	295	26	4	238	47	—	—	—	—	—	—
2013	21	A MLE	3 teams	—	483	442	114	10	6	10	27	110	8	41	10	258	312	376	688	118	321	23	6	302	90	—	—	—	—	—	—
2013	21	A RAW	3 teams	—	483	433	125	14	7	12	36	65	8	41	10	289	354	436	791	148	316	13	7	349	90	—	—	—	—	—	—
2014	22	A+ MLE	Winston-Salem Dash	—	472	431	101	25	7	2	26	105	1	37	8	234	279	339	618	104	304	22	6	263	64	—	—	—	—	—	—
2014	22	A+ RAW	Winston-Salem Dash	—	472	415	107	31	10	2	42	71	1	37	8	258	328	395	723	137	305	15	9	314	64	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	449	415	112	18	1	2	20	95	3	38	17	270	308	333	641	63	344	21	4	274	71	—	—	—	—	—	—
2015	23	AA RAW	2 teams	—	449	405	111	16	1	2	30	76	3	38	17	274	329	333	662	59	331	17	7	296	71	—	—	—	—	—	—
2016	24	AAA MLE	Charlotte Knights	—	321	305	75	17	2	1	11	82	4	19	8	246	281	325	606	79	333	26	3	267	67	—	—	—	—	—	—
2016	24	AAA RAW	Charlotte Knights	—	321	301	80	19	2	1	15	72	4	19	8	266	309	352	662	86	346	22	5	298	67	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	509	460	102	9	5	3	24	158	6	31	8	222	269	283	552	61	331	31	5	238	47	—	—	—	—	—	—
2017	25	AAA RAW	2 teams	—	509	451	105	10	5	4	33	129	6	31	8	233	294	304	598	71	318	25	6	264	47	—	—	—	—	—	—
2018	26	AAA MLE	Charlotte Knights	—	342	320	71	15	1	1	14	89	2	15	11	222	259	284	543	62	303	26	4	238	47	—	—	—	—	—	—
2018	26	AAA RAW	Charlotte Knights	—	342	314	80	19	1	2	20	73	2	15	11	255	304	341	644	86	325	21	6	287	47	—	—	—	—	—	—
2013	21	A MLE	3 teams	—	483	445	114	10	6	10	27	110	8	41	10	256	312	373	685	117	314	23	6	302	90	—	—	—	—	—	—
2014	22	A+ MLE	Winston-Salem Dash	—	472	442	101	25	7	2	26	105	1	37	8	229	279	330	610	102	291	22	6	263	64	—	—	—	—	—	—
2015	23	AA MLE	2 teams	—	449	423	112	18	1	2	20	95	3	38	17	265	308	326	634	61	329	21	4	274	71	—	—	—	—	—	—
2016	24	AAA MLE	Charlotte Knights	—	321	303	75	17	2	1	11	82	4	19	8	248	281	327	608	79	334	26	3	267	67	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	509	474	102	9	5	3	24	158	6	31	8	215	269	274	544	59	309	31	5	238	47	—	—	—	—	—	—
2018	26	AAA MLE	Charlotte Knights	—	342	323	71	15	1	1	14	89	2	15	11	220	259	282	541	62	295	26	4	238	47	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	42	36	2	0	0	0	3	17	1	0	0	56	150	56	206		105	40	7	110	65	-7	+0	+0	+2	+1	-0.4
/ 162G	—	A+C		—	650	557	31	0	0	0	46	263	15	0	0	56	149	56	204		105	40	7	110	65	-108	+0	+1	+28	+14	-6.5
Career	—	MLE		—	2576	2373	575	94	22	19	122	639	24	181	62	242	286	324	611	82	323	25	5	264	65	-7	+0	+0	+2	+1	-0.4
/ 162G	—	MLE		—	650	599	146	24	6	5	31	161	6	46	16	244	288	329	617	85	324	25	5	264	65	-108	+0	+1	+28	+14	-6.5

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.

2018 AAACharlotte Knights · 342 PAwOBA .280 → .238 (−42)K% 21.3% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.35%	÷0.986	×1.200	—	—	25.96%
BB% (unintentional) /PA	5.85%	÷1.030	×0.690	—	×1.018	3.99%
HBP% /PA	0.58%	—	×0.940	—	×1.018	0.56%
Singles /BIP	24.07%	÷1.030	×0.930	×1.029	×1.018	22.77%
Doubles /BIP	7.88%	÷1.077	×0.830	×1.029	×1.018	6.37%
Triples /BIP	0.41%	÷1.150	×0.970	×1.029	×1.018	0.37%
Home runs /BIP	0.83%	÷1.319	×0.840	—	×1.018	0.54%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — 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 ×1.029.

Result: wOBA .280 → .238; ISO .086 → .066; BABIP .325 → .295. 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 AAACharlotte Knights · 467 PAwOBA .270 → .249 (−21)K% 24.0% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.98%	÷0.952	×1.200	—	—	30.24%
BB% (unintentional) /PA	6.21%	÷1.008	×0.690	—	×1.033	4.39%
HBP% /PA	1.07%	—	×0.940	—	×1.033	1.04%
Singles /BIP	27.72%	÷1.012	×0.930	×1.050	×1.033	27.62%
Doubles /BIP	3.30%	÷0.958	×0.830	×1.050	×1.033	3.10%
Triples /BIP	1.65%	÷1.077	×0.970	×1.050	×1.033	1.61%
Home runs /BIP	1.32%	÷1.150	×0.840	—	×1.033	1.00%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 102, 2B 92, 3B 115, K 90, BB 102 — 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 .270 → .249; ISO .077 → .067; BABIP .331 → .327. 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 AAACharlotte Knights · 321 PAwOBA .290 → .267 (−23)K% 22.4% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.43%	÷1.053	×1.200	—	—	25.57%
BB% (unintentional) /PA	4.67%	÷0.990	×0.690	—	×1.048	3.41%
HBP% /PA	1.25%	—	×0.940	—	×1.048	1.23%
Singles /BIP	25.33%	÷1.031	×0.930	×1.031	×1.048	24.68%
Doubles /BIP	8.30%	÷0.974	×0.830	×1.031	×1.048	7.64%
Triples /BIP	0.87%	÷0.926	×0.970	×1.031	×1.048	0.99%
Home runs /BIP	0.44%	÷0.950	×0.840	—	×1.048	0.40%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, BB 98 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .290 → .267; ISO .086 → .081; 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).

2015 AABirmingham Barons · 432 PAwOBA .290 → .277 (−14)K% 16.9% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.90%	÷0.981	×1.220	—	—	21.01%
BB% (unintentional) /PA	6.71%	÷1.019	×0.680	—	×1.027	4.60%
HBP% /PA	0.69%	—	×0.840	—	×1.027	0.60%
Singles /BIP	28.16%	÷1.007	×0.920	×1.050	×1.027	27.75%
Doubles /BIP	4.75%	÷0.875	×0.910	×1.050	×1.027	5.32%
Triples /BIP	0.32%	÷1.087	×0.880	×1.050	×1.027	0.28%
Home runs /BIP	0.63%	÷1.102	×0.800	—	×1.027	0.47%

Factors used: league row SL. Park (home-season share, regressed): HR 120, 1B 101, 2B 75, 3B 117, K 96, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .290 → .277; ISO .059 → .060; BABIP .332 → .333. 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 ROKACL White Sox · 17 PAwOBA .269 → .186 (−83)K% 17.6% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷1.000	×1.440	—	—	25.41%
BB% (unintentional) /PA	5.88%	÷1.000	×0.620	—	×0.965	3.52%
HBP% /PA	0.00%	—	×0.720	—	×0.965	0.00%
Singles /BIP	23.08%	÷1.000	×0.820	—	×0.965	18.26%
Doubles /BIP	7.69%	÷1.000	×0.720	—	×0.965	5.34%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .269 → .186; ISO .062 → .040; BABIP .308 → .236. 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 A+Winston-Salem Dash · 472 PAwOBA .307 → .263 (−44)K% 15.0% → 22.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.04%	÷0.961	×1.420	—	—	22.24%
BB% (unintentional) /PA	8.90%	÷1.012	×0.630	—	×1.012	5.60%
HBP% /PA	0.21%	—	×0.860	—	×1.012	0.18%
Singles /BIP	18.60%	÷0.949	×0.940	×1.050	×1.012	19.58%
Doubles /BIP	9.01%	÷1.069	×0.830	×1.050	×1.012	7.43%
Triples /BIP	2.91%	÷1.150	×0.800	×1.050	×1.012	2.15%
Home runs /BIP	0.58%	÷1.065	×0.900	—	×1.012	0.50%

Factors used: league row CAR. Park (home-season share, regressed): HR 113, 1B 90, 2B 114, 3B 130, K 92, BB 102 — applied at half strength. Age: age 22 vs a level average of 22.8 → +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 .307 → .263; ISO .137 → .108; BABIP .305 → .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).

2013 AKannapolis Intimidators · 230 PAwOBA .347 → .299 (−48)K% 18.7% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.70%	÷1.024	×1.340	—	—	24.47%
BB% (unintentional) /PA	6.96%	÷0.924	×0.660	—	×1.015	5.04%
HBP% /PA	1.74%	—	×0.770	—	×1.015	1.36%
Singles /BIP	25.77%	÷0.994	×0.920	×1.025	×1.015	24.83%
Doubles /BIP	3.68%	÷0.980	×0.820	×1.025	×1.015	3.20%
Triples /BIP	1.84%	÷1.004	×0.940	×1.025	×1.015	1.79%
Home runs /BIP	4.91%	÷1.053	×0.820	—	×1.015	3.88%

Factors used: league row SAL. Park (home-season share, regressed): HR 111, 1B 99, 2B 96, 3B 101, K 105, BB 85 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .347 → .299; ISO .175 → .142; BABIP .325 → .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).

2013 ROKGreat Falls Voyagers · 55 PAwOBA .405 → .312 (−93)K% 10.9% → 15.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.91%	÷1.000	×1.440	—	—	15.71%
BB% (unintentional) /PA	12.73%	÷1.000	×0.610	—	×0.985	7.65%
HBP% /PA	3.64%	—	×0.720	—	×0.985	2.58%
Singles /BIP	38.46%	÷1.000	×0.820	—	×0.985	31.07%
Doubles /BIP	2.56%	÷1.000	×0.720	—	×0.985	1.82%
Triples /BIP	2.56%	÷1.000	×0.720	—	×0.985	1.82%
Home runs /BIP	0.00%	÷1.000	×0.750	—	×0.985	0.00%

Factors used: league row PIO. 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).

Result: wOBA .405 → .312; ISO .067 → .049; BABIP .436 → .347. 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 — .