Aaron Altherr

PosRF

B/TR/R

Born1991-01-14

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	27	AAAPHI	134	.244/.323/.336	2	4	49	—	.203/.263/.285
2018	27	MLBPHI	285	.181/.297/.333	8	3	79	-0.5
2019	28	AAANYM	88	.270/.379/.527	4	3	103	—	.234/.322/.468
2019	28	MLBNYM	66	.082/.138/.164	1	0	-16	-0.7
2023	32	INTLMexico	135	.275/.452/.627	9	0	199	—
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR -1.2

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Speed81

xwOBA61

Barrel%60

Avg EV53

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)
2009	18	ROK	GCL Phillies	—	92	84	18	3	0	1	8	15	0	6	1	214	283	286	568	71	250	16	9	263	16	—	—	—	—	—	—
2010	19	ROK	GCL Phillies	—	121	115	35	6	1	1	3	22	2	10	3	304	333	400	733	96	366	18	2	326	41	—	—	—	—	—	—
2011	20	A	Lakewood BlueClaws	—	163	147	31	6	0	1	11	47	2	11	0	211	275	272	547	61	297	29	7	249	26	—	—	—	—	—	—
2012	21	A	Lakewood BlueClaws	—	471	420	106	27	6	8	38	102	6	25	8	252	323	402	726	150	310	22	8	320	57	—	—	—	—	—	—
2013	22	A+	Clearwater Threshers	—	527	466	128	36	6	12	45	140	3	23	5	275	342	455	797	180	360	27	9	344	68	—	—	—	—	—	—
2013	22	INTL	Peoria Javelinas	—	49	45	9	3	0	0	2	8	2	2	1	200	265	267	532	67	243	16	4	248	54	—	—	—	—	—	—
2014	23	AA	Reading Fightin Phils	—	492	449	106	27	2	14	26	110	8	12	6	236	290	399	689	163	279	22	5	301	59	—	—	—	—	—	—
2014	23	A+	Clearwater Threshers	—	33	28	7	1	2	0	5	8	0	1	0	250	364	429	792	179	350	24	15	352	68	—	—	—	—	—	—
2014	23	INTL	Aguilas del Zulia	—	125	105	30	5	2	4	16	35	3	1	0	286	395	486	881	200	388	28	13	388	149	—	—	—	—	—	—
2015	24	MLB	Philadelphia Phillies	—	161	137	33	11	4	5	16	41	5	6	2	241	342	489	831	248	301	25	10	358	126	+5	+0	+3	-7	+3	0.6
2015	24	AAA	Lehigh Valley IronPigs	—	229	204	60	13	2	8	21	44	2	8	1	294	366	495	861	201	338	19	9	376	107	—	—	—	—	—	—
2015	24	AA	Reading Fightin Phils	—	260	229	67	19	3	6	28	40	1	8	3	293	372	480	852	188	332	15	11	374	103	—	—	—	—	—	—
2016	25	MLB	Philadelphia Phillies	—	227	198	39	6	0	4	23	69	6	7	2	197	300	288	587	91	280	30	10	276	68	-9	+1	-0	-3	+5	-0.6
2016	25	ROK	GCL Phillies	—	23	16	6	1	0	1	6	2	1	0	0	375	565	625	1.190	250	385	9	26	518	141	—	—	—	—	—	—
2017	26	MLB	Philadelphia Phillies	—	412	372	101	24	5	19	32	104	7	5	4	272	341	516	857	245	328	25	8	373	133	+16	-1	-1	-4	+9	2.0
2018	27	MLB	Philadelphia Phillies	—	285	243	44	11	1	8	36	91	4	3	2	181	297	333	630	152	247	32	13	288	79	-7	-0	+1	-4	+6	-0.5
2018	27	AAA	Lehigh Valley IronPigs	—	134	119	29	5	0	2	14	37	0	4	0	244	323	336	659	92	333	28	10	300	49	—	—	—	—	—	—
2019	28	MLB	New York Mets	—	66	61	5	2	0	1	3	25	1	0	0	82	138	164	302	82	111	38	5	141	-16	-9	+0	-0	+1	+1	-0.7
2019	28	AAA	Syracuse Mets	—	88	74	20	5	1	4	10	16	3	3	2	270	379	527	906	257	291	18	11	393	103	—	—	—	—	—	—
2023	32	INTL	Mexico	—	135	102	28	7	1	9	30	34	3	0	0	275	452	627	1.079	353	322	25	22	462	199	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1151	1011	222	54	10	37	110	330	23	21	10	220	310	403	713	183	285	29	10	318	101	+2	+0	+3	-18	+25	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	18	ROK MLE	GCL Phillies	—	92	87	14	2	0	1	5	22	0	6	1	161	207	218	425	57	209	24	5	192	16	—	—	—	—	—	—
2010	19	ROK MLE	GCL Phillies	—	121	116	26	4	1	1	2	32	2	10	3	224	250	302	552	78	287	26	2	229	41	—	—	—	—	—	—
2011	20	A MLE	Lakewood BlueClaws	—	163	151	28	5	0	1	7	64	2	11	0	185	231	238	470	53	292	39	4	206	26	—	—	—	—	—	—
2012	21	A MLE	Lakewood BlueClaws	—	471	435	90	21	5	7	23	142	6	25	8	207	256	326	583	120	274	30	5	253	57	—	—	—	—	—	—
2013	22	A+ MLE	Clearwater Threshers	—	527	478	105	31	5	8	33	203	3	23	5	220	274	356	630	136	334	39	6	268	68	—	—	—	—	—	—
2014	23	AA MLE	Reading Fightin Phils	—	492	458	99	24	2	8	17	138	8	12	6	216	257	330	586	114	280	28	3	256	59	—	—	—	—	—	—
2014	23	A+ MLE	Clearwater Threshers	—	33	29	5	1	1	0	4	11	0	1	0	172	273	276	549	103	310	33	12	269	68	—	—	—	—	—	—
2015	24	MLB MLE	Philadelphia Phillies	—	161	137	33	11	4	5	16	41	5	6	2	241	342	489	831	248	301	25	10	355	126	+5	+0	+3	-7	+3	0.6
2015	24	AAA MLE	Lehigh Valley IronPigs	—	229	211	55	9	2	8	14	52	2	8	1	261	313	436	749	175	302	23	6	327	107	—	—	—	—	—	—
2015	24	AA MLE	Reading Fightin Phils	—	260	238	65	18	3	5	19	46	1	8	3	273	329	437	766	164	308	18	7	321	103	—	—	—	—	—	—
2016	25	MLB MLE	Philadelphia Phillies	—	227	200	39	6	0	4	21	69	6	7	2	195	291	285	576	90	280	30	9	268	68	-9	+1	-0	-3	+5	-0.6
2016	25	ROK MLE	GCL Phillies	—	23	18	6	1	0	1	4	3	1	0	0	333	478	556	1.034	222	285	13	17	377	141	—	—	—	—	—	—
2017	26	MLB MLE	Philadelphia Phillies	—	412	374	101	25	5	18	30	104	7	5	4	270	336	508	844	238	328	25	7	365	133	+16	-1	-1	-4	+9	2.0
2018	27	MLB MLE	Philadelphia Phillies	—	285	243	43	11	1	7	36	91	4	3	2	177	293	317	610	140	247	32	13	285	79	-7	-0	+1	-4	+6	-0.5
2018	27	AAA MLE	Lehigh Valley IronPigs	—	134	123	25	4	0	2	10	46	0	4	0	203	263	285	548	81	297	34	7	241	49	—	—	—	—	—	—
2019	28	MLB MLE	New York Mets	—	66	61	5	2	0	1	3	25	1	0	0	82	138	164	302	82	111	38	5	144	-16	-9	+0	-0	+1	+1	-0.7
2019	28	AAA MLE	Syracuse Mets	—	88	77	18	4	1	4	7	19	3	3	2	234	322	468	789	234	236	22	8	321	103	—	—	—	—	—	—
2009	18	ROK MLE	GCL Phillies	—	92	87	14	2	0	1	5	22	0	6	1	161	207	218	425	57	203	24	5	192	16	—	—	—	—	—	—
2009	18	ROK RAW	GCL Phillies	—	92	84	18	3	0	1	8	15	0	6	1	214	283	286	568	71	250	16	9	263	16	—	—	—	—	—	—
2010	19	ROK MLE	GCL Phillies	—	121	116	26	4	1	1	2	32	2	10	3	224	250	302	552	78	298	26	2	229	41	—	—	—	—	—	—
2010	19	ROK RAW	GCL Phillies	—	121	115	35	6	1	1	3	22	2	10	3	304	333	400	733	96	366	18	2	326	41	—	—	—	—	—	—
2011	20	A MLE	Lakewood BlueClaws	—	163	151	28	5	0	1	7	64	2	11	0	185	231	238	470	53	307	39	4	206	26	—	—	—	—	—	—
2011	20	A RAW	Lakewood BlueClaws	—	163	147	31	6	0	1	11	47	2	11	0	211	275	272	547	61	297	29	7	249	26	—	—	—	—	—	—
2012	21	A MLE	Lakewood BlueClaws	—	471	435	90	21	5	7	23	142	6	25	8	207	256	326	583	120	284	30	5	253	57	—	—	—	—	—	—
2012	21	A RAW	Lakewood BlueClaws	—	471	420	106	27	6	8	38	102	6	25	8	252	323	402	726	150	310	22	8	320	57	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	576	522	113	34	5	8	36	222	5	25	6	216	274	347	620	130	350	39	6	268	68	—	—	—	—	—	—
2013	22	A+ RAW	2 teams	—	576	511	137	39	6	12	47	148	5	25	6	268	336	438	774	170	348	26	8	336	68	—	—	—	—	—	—
2014	23	AA MLE	3 teams	—	650	603	130	31	4	10	26	184	11	14	6	216	261	330	591	114	289	28	4	257	60	—	—	—	—	—	—
2014	23	AA RAW	3 teams	—	650	582	143	33	6	18	47	153	11	14	6	246	314	416	730	170	300	24	7	320	60	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	650	587	152	37	9	18	48	139	8	22	6	259	323	445	768	186	308	21	7	332	111	—	—	—	—	—	—
2015	24	AA RAW	3 teams	—	650	570	160	43	9	19	65	125	8	22	6	281	362	488	850	207	327	19	10	371	111	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	250	218	44	7	0	5	25	72	7	7	2	202	304	303	607	101	277	29	10	278	74	-8	+1	-0	-3	+5	-0.4
2016	25	MLB RAW	2 teams	—	250	214	45	7	0	5	29	71	7	7	2	210	324	313	637	103	290	28	12	299	74	-8	+1	-0	-3	+5	-0.4
2017	26	MLB MLE	Philadelphia Phillies	—	412	374	101	25	5	18	30	104	7	5	4	270	336	508	844	238	328	25	7	365	133	+16	-1	-1	-4	+9	2.0
2017	26	MLB RAW	Philadelphia Phillies	—	412	372	101	24	5	19	32	104	7	5	4	272	341	516	857	245	328	25	8	373	133	+16	-1	-1	-4	+9	2.0
2018	27	MLB MLE	2 teams	—	419	366	68	15	1	9	46	137	4	7	2	186	284	306	590	120	265	33	11	271	70	-15	+1	+1	-4	+9	-0.9
2018	27	MLB RAW	2 teams	—	419	362	73	16	1	10	50	128	4	7	2	202	305	334	640	133	278	31	12	292	70	-15	+1	+1	-4	+9	-0.9
2019	28	AAA MLE	2 teams	—	154	138	23	6	1	5	10	44	4	3	2	167	243	333	577	167	198	29	6	245	52	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	154	135	25	7	1	5	13	41	4	3	2	185	276	363	639	178	220	27	8	285	52	—	—	—	—	—	—
2023	32	INTL MLE	Mexico	—	135	102	28	7	1	9	30	34	3	0	0	275	452	627	1.079	353	322	25	22	—	—	—	—	—	—	—	—
2023	32	INTL RAW	Mexico	—	135	102	28	7	1	9	30	34	3	0	0	275	452	627	1.079	353	322	25	22	462	199	—	—	—	—	—	—
2009	18	ROK MLE	GCL Phillies	—	92	87	14	2	0	1	5	22	0	6	1	161	207	218	425	57	209	24	5	192	16	—	—	—	—	—	—
2010	19	ROK MLE	GCL Phillies	—	121	116	26	4	1	1	2	32	2	10	3	224	250	302	552	78	287	26	2	229	41	—	—	—	—	—	—
2011	20	A MLE	Lakewood BlueClaws	—	163	153	28	5	0	1	7	64	2	11	0	183	231	235	467	52	292	39	4	206	26	—	—	—	—	—	—
2012	21	A MLE	Lakewood BlueClaws	—	471	439	90	21	5	7	23	142	6	25	8	205	256	323	580	118	274	30	5	253	57	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	576	530	113	34	5	8	36	222	5	25	6	213	274	342	615	128	334	39	6	268	68	—	—	—	—	—	—
2014	23	AA MLE	3 teams	—	650	608	130	31	4	10	26	184	11	14	6	214	261	327	588	113	282	28	4	257	60	—	—	—	—	—	—
2015	24	AA MLE	3 teams	—	650	589	152	37	9	18	48	139	8	22	6	258	323	443	767	185	304	21	7	332	111	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	250	216	44	7	0	5	25	72	7	7	2	204	304	306	610	102	280	29	10	278	74	—	—	—	—	—	—
2017	26	MLB MLE	Philadelphia Phillies	—	412	372	101	25	5	18	30	104	7	5	4	272	336	511	847	239	328	25	7	365	133	—	—	—	—	—	—
2018	27	MLB MLE	2 teams	—	419	366	68	15	1	9	46	137	4	7	2	186	284	306	590	120	263	33	11	271	70	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	154	139	23	6	1	5	10	44	4	3	2	165	243	331	574	165	182	29	6	245	52	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1151	1011	222	54	10	37	110	330	23	21	10	220	310	403	713	183	285	29	10	318	69	+2	+0	+3	-18	+25	1.2
/ 162G	—	A+C		—	650	571	125	30	6	21	62	186	13	12	6	219	310	403	712	184	283	29	10	318	69	+1	+0	+2	-10	+14	0.7
Career	—	MLE		—	4093	3699	817	194	32	92	288	1196	59	135	40	221	288	365	653	144	297	29	7	270	69	+2	+0	+3	-18	+25	1.2
/ 162G	—	MLE		—	650	587	130	31	5	15	46	190	9	21	6	221	288	368	656	147	297	29	7	270	69	+1	+0	+2	-10	+14	0.7

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 AAASyracuse Mets · 88 PAwOBA .387 → .321 (−66)K% 18.2% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.020	×1.200	—	—	21.40%
BB% (unintentional) /PA	11.36%	÷0.966	×0.690	—	×0.992	8.06%
HBP% /PA	3.41%	—	×0.940	—	×0.992	3.18%
Singles /BIP	17.24%	÷1.042	×0.930	×0.950	×0.992	14.51%
Doubles /BIP	8.62%	÷1.060	×0.830	×0.950	×0.992	6.36%
Triples /BIP	1.72%	÷0.900	×0.970	×0.950	×0.992	1.75%
Home runs /BIP	6.90%	÷0.960	×0.840	—	×0.992	5.99%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — 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 ×0.950.

Result: wOBA .387 → .321; ISO .257 → .223; BABIP .291 → .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).

2018 AAALehigh Valley IronPigs · 134 PAwOBA .295 → .241 (−54)K% 27.6% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.61%	÷0.962	×1.200	—	—	34.43%
BB% (unintentional) /PA	10.45%	÷0.932	×0.690	—	×1.003	7.76%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	26.83%	÷1.000	×0.930	×0.975	×1.003	24.39%
Doubles /BIP	6.10%	÷0.971	×0.830	×0.975	×1.003	5.09%
Triples /BIP	0.00%	÷0.900	×0.970	×0.975	×1.003	0.00%
Home runs /BIP	2.44%	÷0.954	×0.840	—	×1.003	2.15%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 80, K 92, BB 86 — 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 ×0.975.

Result: wOBA .295 → .241; ISO .092 → .075; BABIP .333 → .297. 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 Phillies · 23 PAwOBA .506 → .377 (−129)K% 8.7% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.70%	÷1.000	×1.440	—	—	12.52%
BB% (unintentional) /PA	26.09%	÷1.000	×0.620	—	×0.945	15.28%
HBP% /PA	4.35%	—	×0.720	—	×0.945	2.96%
Singles /BIP	28.57%	÷1.000	×0.820	—	×0.945	22.14%
Doubles /BIP	7.14%	÷1.000	×0.720	—	×0.945	4.86%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	7.14%	÷1.000	×0.780	—	×0.945	5.27%

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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .506 → .377; ISO .250 → .206; BABIP .385 → .285. 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 AAReading Fightin Phils · 260 PAwOBA .365 → .321 (−44)K% 15.4% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.060	×1.220	—	—	17.70%
BB% (unintentional) /PA	10.38%	÷1.029	×0.700	—	×1.012	7.15%
HBP% /PA	0.38%	—	×0.850	—	×1.012	0.33%
Singles /BIP	20.63%	÷0.995	×0.970	×0.977	×1.012	19.88%
Doubles /BIP	10.05%	÷0.949	×0.860	×0.977	×1.012	9.01%
Triples /BIP	1.59%	÷1.150	×0.950	×0.977	×1.012	1.30%
Home runs /BIP	3.17%	÷1.021	×0.780	—	×1.012	2.45%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 99, 2B 90, 3B 130, K 112, BB 106 — 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 ×0.977.

Result: wOBA .365 → .321; ISO .188 → .161; BABIP .332 → .308. 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 AAALehigh Valley IronPigs · 229 PAwOBA .367 → .327 (−40)K% 19.2% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.21%	÷1.019	×1.200	—	—	22.62%
BB% (unintentional) /PA	8.30%	÷1.013	×0.690	—	×1.048	5.92%
HBP% /PA	0.87%	—	×0.940	—	×1.048	0.86%
Singles /BIP	23.12%	÷0.991	×0.930	×0.982	×1.048	22.32%
Doubles /BIP	8.12%	÷1.314	×0.830	×0.982	×1.048	5.28%
Triples /BIP	1.25%	÷0.921	×0.970	×0.982	×1.048	1.35%
Home runs /BIP	5.00%	÷0.845	×0.840	—	×1.048	5.21%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 98, 2B 163, 3B 84, K 104, BB 103 — 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 ×0.982.

Result: wOBA .367 → .327; ISO .201 → .187; BABIP .338 → .302. 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 AAReading Fightin Phils · 492 PAwOBA .295 → .256 (−39)K% 22.4% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.36%	÷0.974	×1.220	—	—	27.99%
BB% (unintentional) /PA	5.08%	÷1.064	×0.700	—	×1.027	3.43%
HBP% /PA	1.63%	—	×0.850	—	×1.027	1.42%
Singles /BIP	18.58%	÷0.974	×0.970	×1.034	×1.027	19.66%
Doubles /BIP	7.96%	÷0.984	×0.860	×1.034	×1.027	7.39%
Triples /BIP	0.59%	÷0.923	×0.950	×1.034	×1.027	0.64%
Home runs /BIP	4.13%	÷1.317	×0.780	—	×1.027	2.51%

Factors used: league row EL. Park (home-season share, regressed): HR 163, 1B 95, 2B 97, 3B 85, K 95, BB 113 — 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 ×1.034.

Result: wOBA .295 → .256; ISO .163 → .119; BABIP .279 → .280. 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+Clearwater Threshers · 33 PAwOBA .344 → .269 (−76)K% 24.2% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.24%	÷1.028	×1.420	—	—	33.48%
BB% (unintentional) /PA	15.15%	÷0.946	×0.750	—	×0.998	11.99%
HBP% /PA	0.00%	—	×0.930	—	×0.998	0.00%
Singles /BIP	20.00%	÷0.971	×0.920	—	×0.998	18.92%
Doubles /BIP	5.00%	÷0.965	×0.960	—	×0.998	4.96%
Triples /BIP	10.00%	÷1.128	×0.810	—	×0.998	7.17%
Home runs /BIP	0.00%	÷1.056	×0.880	—	×0.998	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 111, 1B 94, 2B 93, 3B 126, K 106, BB 89 — 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).

Result: wOBA .344 → .269; ISO .179 → .124; BABIP .350 → .310. 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+Clearwater Threshers · 527 PAwOBA .340 → .268 (−72)K% 26.6% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.57%	÷0.980	×1.420	—	—	38.51%
BB% (unintentional) /PA	8.54%	÷1.045	×0.750	—	×1.012	6.20%
HBP% /PA	0.57%	—	×0.930	—	×1.012	0.54%
Singles /BIP	22.70%	÷0.988	×0.920	×0.983	×1.012	21.02%
Doubles /BIP	11.04%	÷0.978	×0.960	×0.983	×1.012	10.78%
Triples /BIP	1.84%	÷0.900	×0.810	×0.983	×1.012	1.65%
Home runs /BIP	3.68%	÷1.253	×0.880	—	×1.012	2.62%

Factors used: league row FSL. Park (home-season share, regressed): HR 151, 1B 98, 2B 96, 3B 80, K 96, BB 109 — 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 ×0.983.

Result: wOBA .340 → .268; ISO .180 → .136; BABIP .360 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .