Tony Kemp

PosLF

B/TL/R

Born1991-10-31

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	30	MLBOakland Athle…	558	.235/.309/.334	7	11	84	0.5
2023	31	MLBOakland Athle…	419	.209/.306/.304	5	15	75	-0.9
2024	32	AAACIN	326	.261/.353/.406	9	8	62	—	.216/.282/.318
2025	33	No MLB games played
2026	34	No MLB games played

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileStatcast 2022-2024

xwOBA28

Speed23

Barrel%10

Avg EV10

Bat Spd10

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	Quad Cities River Bandits	—	120	98	25	1	1	1	19	18	2	4	2	255	387	316	703	61	304	15	16	330	68	—	—	—	—	—	—
2014	22	AA	Corpus Christi Hooks	—	275	233	68	11	4	4	28	32	7	13	6	292	384	425	809	133	322	12	10	356	107	—	—	—	—	—	—
2014	22	A+	Lancaster JetHawks	—	356	295	99	19	4	4	45	35	8	28	7	336	437	468	905	132	367	10	13	398	116	—	—	—	—	—	—
2015	23	AAA	Fresno Grizzlies	—	311	271	74	9	3	3	21	37	5	20	6	273	337	362	698	89	305	12	7	303	80	—	—	—	—	—	—
2015	23	AA	Corpus Christi Hooks	—	230	193	69	10	1	0	35	28	1	15	8	358	459	420	878	62	416	12	15	400	126	—	—	—	—	—	—
2016	24	MLB	Houston Astros	—	136	120	26	4	3	1	14	27	0	2	1	217	299	325	624	108	269	20	10	280	74	-4	+0	-1	-5	+3	-0.7
2016	24	AAA	Fresno Grizzlies	—	301	255	78	9	4	2	34	34	2	10	8	306	392	396	788	90	344	11	11	347	96	—	—	—	—	—	—
2017	25	MLB	Houston Astros	—	39	37	8	1	0	0	1	5	1	1	0	216	256	243	500	27	250	13	3	232	41	-3	+0	-0	-6	+1	-0.8
2017	25	AAA	Fresno Grizzlies	—	554	504	166	23	9	10	35	43	3	24	7	329	375	470	845	141	344	8	6	368	105	—	—	—	—	—	—
2018	26	MLB	Houston Astros	—	295	255	67	15	0	6	32	44	3	9	3	263	351	392	743	129	296	15	11	332	107	+2	+1	-3	-5	+6	0.1
2018	26	AAA	Fresno Grizzlies	—	183	161	54	6	5	0	19	15	1	13	2	335	409	435	844	99	367	8	10	375	112	—	—	—	—	—	—
2019	27	MLB	Chicago Cubs	—	279	245	52	9	4	8	23	47	6	4	4	212	296	380	675	167	227	17	8	298	85	-5	-1	+5	+1	+6	0.7
2020	28	MLB	Oakland Athletics	—	114	93	23	5	0	0	15	14	3	3	1	247	369	301	670	54	284	12	13	310	95	-1	+0	+1	+0	+2	0.3
2021	29	MLB	Oakland Athletics	—	397	330	92	16	3	8	52	51	6	8	2	279	387	418	805	139	304	13	13	357	130	+14	+1	+1	+1	+9	2.6
2022	30	MLB	Oakland Athletics	—	558	497	117	24	2	7	45	69	8	11	1	235	309	334	643	99	259	12	8	290	84	-11	+2	+0	+2	+12	0.5
2023	31	MLB	Oakland Athletics	—	419	359	75	13	3	5	44	40	6	15	4	209	306	304	609	95	221	10	11	277	75	-13	+1	-2	-4	+9	-0.9
2024	32	AAA	Louisville Bats	—	326	283	74	12	1	9	35	36	5	8	2	261	353	406	759	145	270	11	11	340	62	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2237	1936	460	87	15	35	226	297	33	53	16	238	327	352	680	115	262	13	10	305	93	-19	+4	+1	-16	+48	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	21	A MLE	Quad Cities River Bandits	—	120	104	23	1	1	1	13	24	2	4	2	221	319	279	598	58	275	20	11	269	68	—	—	—	—	—	—
2014	22	AA MLE	Corpus Christi Hooks	—	275	241	68	11	5	4	20	40	7	13	6	282	354	419	774	137	309	15	7	327	107	—	—	—	—	—	—
2014	22	A+ MLE	Lancaster JetHawks	—	356	309	92	17	3	3	31	49	8	28	7	298	376	401	778	104	332	14	9	340	116	—	—	—	—	—	—
2015	23	AAA MLE	Fresno Grizzlies	—	311	276	75	8	3	2	16	47	5	20	6	272	323	344	667	72	301	15	5	287	80	—	—	—	—	—	—
2015	23	AA MLE	Corpus Christi Hooks	—	230	203	67	9	1	0	25	35	1	15	8	330	406	384	790	54	395	15	11	354	126	—	—	—	—	—	—
2016	24	MLB MLE	Houston Astros	—	136	120	26	4	3	1	14	27	0	2	1	217	299	325	624	108	269	20	10	277	74	-4	+0	-1	-5	+3	-0.7
2016	24	AAA MLE	Fresno Grizzlies	—	301	264	77	8	3	2	25	44	2	10	8	292	357	367	725	76	325	15	8	310	96	—	—	—	—	—	—
2017	25	MLB MLE	Houston Astros	—	39	37	8	1	0	0	1	5	1	1	0	216	256	243	500	27	250	13	3	229	41	-3	+0	-0	-6	+1	-0.8
2017	25	AAA MLE	Fresno Grizzlies	—	554	517	156	21	7	8	24	56	3	24	7	302	336	416	752	114	320	10	4	324	105	—	—	—	—	—	—
2018	26	MLB MLE	Houston Astros	—	295	257	66	14	0	6	31	44	3	9	3	257	344	381	725	125	296	15	11	326	107	+2	+1	-3	-5	+6	0.1
2018	26	AAA MLE	Fresno Grizzlies	—	183	168	52	5	4	0	12	20	1	13	2	310	359	387	746	77	349	11	7	333	112	—	—	—	—	—	—
2019	27	MLB MLE	Chicago Cubs	—	279	246	51	9	3	8	22	47	6	4	4	207	288	366	654	159	227	17	8	293	85	-5	-1	+5	+1	+6	0.7
2020	28	MLB MLE	Oakland Athletics	—	114	93	23	5	0	0	15	14	3	3	1	247	369	301	670	54	284	12	13	309	95	-1	+0	+1	+0	+2	0.3
2021	29	MLB MLE	Oakland Athletics	—	397	330	92	15	3	9	52	51	6	8	2	279	387	424	811	145	304	13	13	360	130	+14	+1	+1	+1	+9	2.6
2022	30	MLB MLE	Oakland Athletics	—	558	497	117	23	2	8	45	69	8	11	1	235	309	338	647	103	259	12	8	292	84	-11	+2	+0	+2	+12	0.5
2023	31	MLB MLE	Oakland Athletics	—	419	359	75	13	3	5	44	40	6	15	4	209	306	304	609	95	221	10	11	279	75	-13	+1	-2	-4	+9	-0.9
2024	32	AAA MLE	Louisville Bats	—	326	296	64	10	1	6	22	43	5	8	2	216	282	318	599	101	226	13	7	260	62	—	—	—	—	—	—
2013	21	A MLE	Quad Cities River Bandits	—	120	104	23	1	1	1	13	24	2	4	2	221	319	279	598	58	278	20	11	269	68	—	—	—	—	—	—
2013	21	A RAW	Quad Cities River Bandits	—	120	98	25	1	1	1	19	18	2	4	2	255	387	316	703	61	304	15	16	330	68	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	631	550	160	28	8	7	51	89	15	41	13	291	367	409	776	118	333	14	8	334	112	—	—	—	—	—	—
2014	22	A+ RAW	2 teams	—	631	528	167	30	8	8	73	67	15	41	13	316	414	449	863	133	347	11	12	380	112	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	541	480	142	17	4	2	40	82	6	35	14	296	357	360	718	65	351	15	7	315	100	—	—	—	—	—	—
2015	23	AAA RAW	2 teams	—	541	464	143	19	4	3	56	65	6	35	14	308	390	386	776	78	351	12	10	345	100	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	437	384	103	12	6	3	39	71	2	12	9	268	339	354	693	86	319	16	9	300	89	—	—	—	—	—	—
2016	24	AAA RAW	2 teams	—	437	375	104	13	7	3	48	61	2	12	9	277	362	373	736	96	322	14	11	326	89	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	593	554	164	22	7	8	25	61	4	25	7	296	331	404	735	108	320	10	4	318	101	—	—	—	—	—	—
2017	25	AAA RAW	2 teams	—	593	541	174	24	9	10	36	48	4	25	7	322	367	455	822	133	338	8	6	359	101	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	478	425	119	20	4	6	43	64	4	22	5	280	352	388	740	108	317	13	9	329	109	+5	+2	-3	-5	+10	1.0
2018	26	MLB RAW	2 teams	—	478	416	121	21	5	6	51	59	4	22	5	291	373	409	782	118	326	12	11	349	109	+5	+2	-3	-5	+10	1.0
2019	27	MLB MLE	Chicago Cubs	—	279	246	51	9	3	8	22	47	6	4	4	207	288	366	654	159	221	17	8	293	85	-5	-1	+5	+1	+6	0.7
2019	27	MLB RAW	Chicago Cubs	—	279	245	52	9	4	8	23	47	6	4	4	212	296	380	675	167	227	17	8	298	85	-5	-1	+5	+1	+6	0.7
2020	28	MLB MLE	Oakland Athletics	—	114	93	23	5	0	0	15	14	3	3	1	247	369	301	670	54	284	12	13	309	95	-1	+0	+1	+0	+2	0.3
2020	28	MLB RAW	Oakland Athletics	—	114	93	23	5	0	0	15	14	3	3	1	247	369	301	670	54	284	12	13	310	95	-1	+0	+1	+0	+2	0.3
2021	29	MLB MLE	Oakland Athletics	—	397	330	92	15	3	9	52	51	6	8	2	279	387	424	811	145	302	13	13	360	130	+14	+1	+1	+1	+9	2.6
2021	29	MLB RAW	Oakland Athletics	—	397	330	92	16	3	8	52	51	6	8	2	279	387	418	805	139	304	13	13	357	130	+14	+1	+1	+1	+9	2.6
2022	30	MLB MLE	Oakland Athletics	—	558	497	117	23	2	8	45	69	8	11	1	235	309	338	647	103	258	12	8	292	84	-11	+2	+0	+2	+12	0.5
2022	30	MLB RAW	Oakland Athletics	—	558	497	117	24	2	7	45	69	8	11	1	235	309	334	643	99	259	12	8	290	84	-11	+2	+0	+2	+12	0.5
2023	31	MLB MLE	Oakland Athletics	—	419	359	75	13	3	5	44	40	6	15	4	209	306	304	609	95	221	10	11	279	75	-13	+1	-2	-4	+9	-0.9
2023	31	MLB RAW	Oakland Athletics	—	419	359	75	13	3	5	44	40	6	15	4	209	306	304	609	95	221	10	11	277	75	-13	+1	-2	-4	+9	-0.9
2024	32	AAA MLE	Louisville Bats	—	326	296	64	10	1	6	22	43	5	8	2	216	282	318	599	101	232	13	7	260	62	—	—	—	—	—	—
2024	32	AAA RAW	Louisville Bats	—	326	283	74	12	1	9	35	36	5	8	2	261	353	406	759	145	270	11	11	340	62	—	—	—	—	—	—
2013	21	A MLE	Quad Cities River Bandits	—	120	104	23	1	1	1	13	24	2	4	2	221	319	279	598	58	275	20	11	269	68	—	—	—	—	—	—
2014	22	A+ MLE	2 teams	—	631	560	160	28	8	7	51	89	15	41	13	286	367	402	769	116	322	14	8	334	112	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	541	490	142	17	4	2	40	82	6	35	14	290	357	353	710	63	341	15	7	315	100	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	437	393	103	12	6	3	39	71	2	12	9	262	339	346	685	84	308	16	9	300	89	—	—	—	—	—	—
2017	25	AAA MLE	2 teams	—	593	559	164	22	7	8	25	61	4	25	7	293	331	401	732	107	315	10	4	318	101	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	478	428	119	20	4	6	43	64	4	22	5	278	352	386	737	107	316	13	9	329	109	—	—	—	—	—	—
2019	27	MLB MLE	Chicago Cubs	—	279	249	51	9	3	8	22	47	6	4	4	205	288	361	650	157	227	17	8	293	85	—	—	—	—	—	—
2020	28	MLB MLE	Oakland Athletics	—	114	95	23	5	0	0	15	14	3	3	1	242	369	295	664	53	284	12	13	309	95	—	—	—	—	—	—
2021	29	MLB MLE	Oakland Athletics	—	397	336	92	15	3	9	52	51	6	8	2	274	387	417	803	143	304	13	13	360	130	—	—	—	—	—	—
2022	30	MLB MLE	Oakland Athletics	—	558	500	117	23	2	8	45	69	8	11	1	234	309	336	645	102	259	12	8	292	84	—	—	—	—	—	—
2023	31	MLB MLE	Oakland Athletics	—	419	366	75	13	3	5	44	40	6	15	4	205	306	298	603	93	221	10	11	279	75	—	—	—	—	—	—
2024	32	AAA MLE	Louisville Bats	—	326	296	64	10	1	6	22	43	5	8	2	216	282	318	599	101	226	13	7	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	AAA MLE	Louisville Bats	—	326	296	64	10	1	6	22	43	5	8	2	216	282	318	599	101	226	13	7	260	62	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2237	1936	460	87	15	35	226	297	33	53	16	238	327	352	680	115	262	13	10	305	96	-19	+4	+1	-16	+48	1.9
/ 162G	—	A+C		—	650	563	133	25	4	10	66	86	10	15	5	236	328	348	676	112	260	13	10	305	96	-6	+1	+0	-5	+14	0.5
Career	—	MLE		—	4893	4318	1133	175	42	63	411	655	67	188	64	262	336	366	702	104	294	13	8	310	96	-19	+4	+1	-16	+48	1.9
/ 162G	—	MLE		—	650	574	150	23	6	8	55	87	9	25	9	261	336	364	700	103	293	13	8	310	96	-6	+1	+0	-5	+14	0.5

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.

2024 AAALouisville Bats · 326 PAwOBA .335 → .260 (−74)K% 11.0% → 13.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.04%	÷0.999	×1.200	—	—	13.27%
BB% (unintentional) /PA	10.74%	÷1.032	×0.690	—	×0.942	6.76%
HBP% /PA	1.53%	—	×0.940	—	×0.942	1.36%
Singles /BIP	21.05%	÷0.995	×0.930	×0.979	×0.942	18.16%
Doubles /BIP	4.86%	÷0.964	×0.830	×0.979	×0.942	3.86%
Triples /BIP	0.40%	÷1.150	×0.970	×0.979	×0.942	0.31%
Home runs /BIP	3.64%	÷1.111	×0.700	—	×0.942	2.16%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 99, 2B 93, 3B 130, K 100, BB 106 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .335 → .260; ISO .145 → .099; BABIP .270 → .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).

2018 AAAFresno Grizzlies · 183 PAwOBA .366 → .333 (−33)K% 8.2% → 10.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.20%	÷0.982	×1.290	—	—	10.76%
BB% (unintentional) /PA	9.84%	÷1.025	×0.710	—	×1.003	6.84%
HBP% /PA	0.55%	—	×0.980	—	×1.003	0.54%
Singles /BIP	29.45%	÷0.962	×0.900	×1.050	×1.003	29.03%
Doubles /BIP	4.11%	÷0.974	×0.810	×1.050	×1.003	3.60%
Triples /BIP	3.42%	÷1.150	×0.810	×1.050	×1.003	2.54%
Home runs /BIP	0.00%	÷0.951	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 92, 2B 95, 3B 130, K 96, BB 105 — 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 ×1.050.

Result: wOBA .366 → .333; ISO .099 → .081; BABIP .367 → .349. 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 AAAFresno Grizzlies · 554 PAwOBA .359 → .324 (−35)K% 7.8% → 10.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.76%	÷0.992	×1.290	—	—	10.09%
BB% (unintentional) /PA	6.32%	÷1.028	×0.710	—	×1.018	4.44%
HBP% /PA	0.54%	—	×0.980	—	×1.018	0.54%
Singles /BIP	26.90%	÷0.978	×0.900	×1.016	×1.018	25.60%
Doubles /BIP	4.99%	÷0.926	×0.810	×1.016	×1.018	4.51%
Triples /BIP	1.95%	÷1.150	×0.810	×1.016	×1.018	1.42%
Home runs /BIP	2.17%	÷0.963	×0.780	—	×1.018	1.79%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, 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 ×1.016.

Result: wOBA .359 → .324; ISO .141 → .119; BABIP .344 → .320. 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 AAAFresno Grizzlies · 301 PAwOBA .341 → .310 (−30)K% 11.3% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.30%	÷0.996	×1.290	—	—	14.62%
BB% (unintentional) /PA	11.30%	÷1.008	×0.710	—	×1.033	8.22%
HBP% /PA	0.66%	—	×0.980	—	×1.033	0.67%
Singles /BIP	28.51%	÷1.000	×0.900	×1.050	×1.033	27.83%
Doubles /BIP	4.07%	÷1.061	×0.810	×1.050	×1.033	3.37%
Triples /BIP	1.81%	÷1.150	×0.810	×1.050	×1.033	1.38%
Home runs /BIP	0.90%	÷1.040	×0.780	—	×1.033	0.70%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, 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 .341 → .310; ISO .090 → .074; BABIP .344 → .325. 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 AAAFresno Grizzlies · 311 PAwOBA .298 → .287 (−11)K% 11.9% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.90%	÷1.020	×1.290	—	—	15.05%
BB% (unintentional) /PA	6.75%	÷0.987	×0.710	—	×1.048	5.09%
HBP% /PA	1.61%	—	×0.980	—	×1.048	1.65%
Singles /BIP	25.21%	÷0.972	×0.900	×1.050	×1.048	25.69%
Doubles /BIP	3.85%	÷1.051	×0.810	×1.050	×1.048	3.26%
Triples /BIP	1.28%	÷1.021	×0.810	×1.050	×1.048	1.12%
Home runs /BIP	1.28%	÷1.060	×0.780	—	×1.048	0.99%

Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 94, 2B 110, 3B 104, K 104, BB 97 — 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 ×1.050.

Result: wOBA .298 → .287; ISO .089 → .076; BABIP .305 → .301. 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 AACorpus Christi Hooks · 230 PAwOBA .393 → .354 (−39)K% 12.2% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.17%	÷0.964	×1.220	—	—	15.41%
BB% (unintentional) /PA	15.22%	÷1.003	×0.700	—	×1.012	10.74%
HBP% /PA	0.43%	—	×0.870	—	×1.012	0.38%
Singles /BIP	35.15%	÷1.022	×0.920	×1.045	×1.012	33.46%
Doubles /BIP	6.06%	÷0.963	×0.840	×1.045	×1.012	5.59%
Triples /BIP	0.61%	÷0.900	×0.940	×1.045	×1.012	0.67%
Home runs /BIP	0.00%	÷1.059	×0.800	—	×1.012	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 104, 2B 93, 3B 80, K 93, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .393 → .354; ISO .062 → .061; BABIP .416 → .395. 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+Lancaster JetHawks · 356 PAwOBA .390 → .340 (−50)K% 9.8% → 13.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.83%	÷0.948	×1.340	—	—	13.90%
BB% (unintentional) /PA	12.08%	÷0.987	×0.710	—	×0.998	8.67%
HBP% /PA	2.25%	—	×0.790	—	×0.998	1.77%
Singles /BIP	27.69%	÷0.999	×0.910	×1.016	×0.998	25.56%
Doubles /BIP	7.31%	÷0.963	×0.820	×1.016	×0.998	6.31%
Triples /BIP	1.54%	÷0.915	×0.760	×1.016	×0.998	1.29%
Home runs /BIP	1.54%	÷1.234	×0.920	—	×0.998	1.14%

Factors used: league row CAL. Park (home-season share, regressed): HR 147, 1B 100, 2B 93, 3B 83, K 90, BB 97 — 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 ×1.016.

Result: wOBA .390 → .340; ISO .132 → .113; BABIP .367 → .332. 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 AACorpus Christi Hooks · 275 PAwOBA .350 → .327 (−22)K% 11.6% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.64%	÷0.988	×1.220	—	—	14.38%
BB% (unintentional) /PA	10.18%	÷0.991	×0.700	—	×1.027	7.39%
HBP% /PA	2.55%	—	×0.870	—	×1.027	2.27%
Singles /BIP	24.38%	÷1.022	×0.920	×1.024	×1.027	23.06%
Doubles /BIP	5.47%	÷0.890	×0.840	×1.024	×1.027	5.43%
Triples /BIP	1.99%	÷0.900	×0.940	×1.024	×1.027	2.19%
Home runs /BIP	1.99%	÷0.956	×0.800	—	×1.027	1.71%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 104, 2B 78, 3B 80, K 98, BB 98 — 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 ×1.024.

Result: wOBA .350 → .327; ISO .133 → .134; BABIP .322 → .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).