Chase d'Arnaud

PosSS

B/TR/R

Born1987-01-21

Age (2027)40

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	30	AAASD	194	.297/.366/.424	4	12	68	—	.233/.293/.330
2017	30	MLBSD	62	.190/.242/.276	1	5	41	-0.1
2018	31	AAASF	300	.292/.397/.522	12	15	95	—	.235/.310/.403
2018	31	MLBSF	100	.215/.255/.366	3	2	74	0.2
2019	32	AAAKC	368	.218/.310/.361	10	11	28	—	.153/.223/.249
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR 0.1

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed66

Barrel%10

xwOBA10

Avg EV10

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	22	A+	Lynchburg Hillcats	—	253	210	62	19	4	4	30	41	9	14	5	295	406	481	887	186	347	16	12	389	95	—	—	—	—	—	—
2009	22	A	West Virginia Power	—	255	213	62	14	3	3	30	31	8	17	3	291	398	427	826	136	324	12	12	368	89	—	—	—	—	—	—
2010	23	AA	Altoona Curve	—	607	530	131	33	9	6	56	102	12	33	7	247	333	377	710	130	293	17	9	317	77	—	—	—	—	—	—
2011	24	MLB	Pittsburgh Pirates	—	151	143	31	6	2	0	4	36	1	12	2	217	243	287	530	70	287	24	3	234	43	-10	+2	-2	+5	+3	-0.2
2011	24	AAA	Indianapolis Indians	—	321	288	76	12	6	4	23	53	5	20	4	264	329	389	718	125	310	17	7	318	79	—	—	—	—	—	—
2012	25	AAA	Indianapolis Indians	—	427	381	96	24	4	6	37	93	5	34	5	252	326	383	709	131	318	22	9	317	63	—	—	—	—	—	—
2013	26	AAA	Indianapolis Indians	—	262	240	56	8	4	4	18	43	1	17	5	233	290	350	640	117	268	16	7	285	50	—	—	—	—	—	—
2013	26	AA	Altoona Curve	—	15	14	2	0	0	0	1	1	0	1	0	143	200	143	343		154	7	7	167	-17	—	—	—	—	—	—
2014	27	AAA	Indianapolis Indians	—	416	376	94	16	9	2	29	82	7	30	13	250	316	356	672	106	312	20	7	301	49	—	—	—	—	—	—
2015	28	MLB	Philadelphia Phillies	—	18	17	3	0	1	0	1	7	0	0	1	176	222	294	516	118	300	39	6	229	41	-1	-0	+1	+6	+0	0.6
2015	28	AAA	Lehigh Valley IronPigs	—	540	497	133	18	5	5	26	64	11	28	8	268	318	354	672	87	298	12	5	302	55	—	—	—	—	—	—
2016	29	MLB	Atlanta Braves	—	262	233	57	14	2	1	23	50	3	9	3	245	320	335	655	90	303	19	9	297	83	-5	+1	+4	+4	+6	0.9
2016	29	AAA	Gwinnett Braves	—	100	94	24	6	1	1	6	16	0	7	0	255	300	372	672	117	299	16	6	301	47	—	—	—	—	—	—
2017	30	MLB	San Diego Padres	—	62	58	11	2	0	1	4	20	0	5	1	190	242	276	518	86	270	32	6	237	41	-4	+1	-1	+3	+1	-0.1
2017	30	AAA	El Paso Chihuahuas	—	194	172	51	8	1	4	17	33	2	12	1	297	366	424	791	128	343	17	9	350	68	—	—	—	—	—	—
2018	31	MLB	San Francisco Giants	—	100	93	20	5	0	3	4	37	1	2	1	215	255	366	621	151	315	37	4	270	74	-3	+0	+2	+1	+2	0.2
2018	31	AAA	Sacramento River Cats	—	300	253	74	14	4	12	40	65	4	15	3	292	397	522	919	229	346	22	13	400	95	—	—	—	—	—	—
2019	32	AAA	Omaha Storm Chasers	—	368	321	70	10	3	10	35	102	8	11	3	218	310	361	672	143	282	28	10	303	28	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	593	544	122	27	5	5	36	150	5	28	8	224	279	320	598	96	297	25	6	268	67	-23	+2	+3	+19	+13	1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	22	A+ MLE	Lynchburg Hillcats	—	253	221	53	15	3	4	19	58	9	14	5	240	325	389	714	149	298	23	8	308	95	—	—	—	—	—	—
2009	22	A MLE	West Virginia Power	—	255	224	56	11	3	3	19	42	8	17	3	250	331	366	697	116	280	16	7	300	89	—	—	—	—	—	—
2010	23	AA MLE	Altoona Curve	—	607	544	127	28	8	6	42	125	12	33	7	233	303	347	650	114	282	21	7	282	77	—	—	—	—	—	—
2011	24	MLB MLE	Pittsburgh Pirates	—	151	143	31	6	2	0	4	36	1	12	2	217	243	287	530	70	287	24	3	232	43	-10	+2	-2	+5	+3	-0.2
2011	24	AAA MLE	Indianapolis Indians	—	321	294	72	11	6	4	17	64	5	20	4	245	297	364	661	119	294	20	5	285	79	—	—	—	—	—	—
2012	25	AAA MLE	Indianapolis Indians	—	427	393	85	21	3	5	25	110	5	34	5	216	272	323	595	107	286	26	6	262	63	—	—	—	—	—	—
2013	26	AAA MLE	Indianapolis Indians	—	262	246	52	7	4	4	12	57	1	17	5	211	251	321	572	110	250	22	5	242	50	—	—	—	—	—	—
2013	26	AA MLE	Altoona Curve	—	15	14	2	0	0	0	1	1	0	1	0	143	200	143	343		148	7	7	143	-17	—	—	—	—	—	—
2014	27	AAA MLE	Indianapolis Indians	—	416	385	77	13	7	2	20	102	7	30	13	200	252	286	538	86	263	25	5	241	49	—	—	—	—	—	—
2015	28	MLB MLE	Philadelphia Phillies	—	18	17	3	0	1	0	1	7	0	0	1	176	222	294	516	118	300	39	6	228	41	-1	-0	+1	+6	+0	0.6
2015	28	AAA MLE	Lehigh Valley IronPigs	—	540	505	116	11	5	5	18	76	11	28	8	230	272	301	573	71	255	14	3	250	55	—	—	—	—	—	—
2016	29	MLB MLE	Atlanta Braves	—	262	234	56	13	2	1	22	50	3	9	3	239	313	325	638	85	303	19	8	291	83	-5	+1	+4	+4	+6	0.9
2016	29	AAA MLE	Gwinnett Braves	—	100	96	21	5	1	1	4	18	0	7	0	219	250	323	573	104	254	18	4	237	47	—	—	—	—	—	—
2017	30	MLB MLE	San Diego Padres	—	62	59	11	2	0	1	3	20	0	5	1	186	226	271	497	85	270	32	5	228	41	-4	+1	-1	+3	+1	-0.1
2017	30	AAA MLE	El Paso Chihuahuas	—	194	176	41	6	1	3	13	42	2	12	1	233	293	330	623	97	275	22	7	268	68	—	—	—	—	—	—
2018	31	MLB MLE	San Francisco Giants	—	100	93	20	5	0	3	4	37	1	2	1	215	255	366	621	151	315	37	4	277	74	-3	+0	+2	+1	+2	0.2
2018	31	AAA MLE	Sacramento River Cats	—	300	268	63	12	3	9	25	78	4	15	3	235	310	403	713	168	283	26	8	309	95	—	—	—	—	—	—
2019	32	AAA MLE	Omaha Storm Chasers	—	368	334	51	7	2	7	22	135	8	11	3	153	223	249	471	96	218	37	6	210	28	—	—	—	—	—	—
2009	22	A MLE	2 teams	—	508	445	108	26	6	6	38	100	17	31	8	243	326	369	695	126	297	20	7	304	92	—	—	—	—	—	—
2009	22	A RAW	2 teams	—	508	423	124	33	7	7	60	72	17	31	8	293	402	454	856	161	335	14	12	379	92	—	—	—	—	—	—
2010	23	AA MLE	Altoona Curve	—	607	544	127	28	8	6	42	125	12	33	7	233	303	347	650	114	290	21	7	282	77	—	—	—	—	—	—
2010	23	AA RAW	Altoona Curve	—	607	530	131	33	9	6	56	102	12	33	7	247	333	377	710	130	293	17	9	317	77	—	—	—	—	—	—
2011	24	AAA MLE	2 teams	—	472	437	103	17	8	4	21	100	6	32	6	236	280	339	619	103	296	21	4	268	68	—	—	—	—	—	—
2011	24	AAA RAW	2 teams	—	472	431	107	18	8	4	27	89	6	32	6	248	302	355	657	107	303	19	6	291	68	—	—	—	—	—	—
2012	25	AAA MLE	Indianapolis Indians	—	427	393	85	21	3	5	25	110	5	34	5	216	272	323	595	107	287	26	6	262	63	—	—	—	—	—	—
2012	25	AAA RAW	Indianapolis Indians	—	427	381	96	24	4	6	37	93	5	34	5	252	326	383	709	131	318	22	9	317	63	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	277	261	54	7	4	4	12	58	1	18	5	207	245	310	555	103	250	21	4	237	46	—	—	—	—	—	—
2013	26	AAA RAW	2 teams	—	277	254	58	8	4	4	19	44	1	18	5	228	285	339	623	110	261	16	7	278	46	—	—	—	—	—	—
2014	27	AAA MLE	Indianapolis Indians	—	416	385	77	13	7	2	20	102	7	30	13	200	252	286	538	86	264	25	5	241	49	—	—	—	—	—	—
2014	27	AAA RAW	Indianapolis Indians	—	416	376	94	16	9	2	29	82	7	30	13	250	316	356	672	106	312	20	7	301	49	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	558	522	119	11	6	5	19	83	11	28	9	228	270	301	571	73	261	15	3	249	55	—	—	—	—	—	—
2015	28	AAA RAW	2 teams	—	558	514	136	18	6	5	27	71	11	28	9	265	315	352	667	88	298	13	5	299	55	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	362	330	77	18	3	2	26	68	3	16	3	233	295	324	620	91	285	19	7	276	73	-12	+2	+4	+4	+8	0.6
2016	29	MLB RAW	2 teams	—	362	327	81	20	3	2	29	66	3	16	3	248	315	346	660	98	302	18	8	298	73	-12	+2	+4	+4	+8	0.6
2017	30	AAA MLE	2 teams	—	256	235	52	8	1	4	16	62	2	17	2	221	277	315	592	94	281	24	6	258	61	—	—	—	—	—	—
2017	30	AAA RAW	2 teams	—	256	230	62	10	1	5	21	53	2	17	2	270	336	387	723	117	328	21	8	323	61	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	400	361	84	17	3	13	29	115	5	17	4	233	299	404	703	172	300	29	7	301	90	—	—	—	—	—	—
2018	31	AAA RAW	2 teams	—	400	346	94	19	4	15	44	102	5	17	4	272	362	480	842	208	339	26	11	368	90	—	—	—	—	—	—
2019	32	AAA MLE	Omaha Storm Chasers	—	368	334	51	7	2	7	22	135	8	11	3	153	223	249	471	96	224	37	6	210	28	—	—	—	—	—	—
2019	32	AAA RAW	Omaha Storm Chasers	—	368	321	70	10	3	10	35	102	8	11	3	218	310	361	672	143	282	28	10	303	28	—	—	—	—	—	—
2009	22	A MLE	2 teams	—	508	448	108	26	6	6	38	100	17	31	8	241	326	366	692	125	289	20	7	304	92	—	—	—	—	—	—
2010	23	AA MLE	Altoona Curve	—	607	548	127	28	8	6	42	125	12	33	7	232	303	345	648	113	282	21	7	282	77	—	—	—	—	—	—
2011	24	AAA MLE	2 teams	—	472	442	103	17	8	4	21	100	6	32	6	233	280	335	615	102	292	21	4	268	68	—	—	—	—	—	—
2012	25	AAA MLE	Indianapolis Indians	—	427	394	85	21	3	5	25	110	5	34	5	216	272	322	594	107	286	26	6	262	63	—	—	—	—	—	—
2013	26	AAA MLE	2 teams	—	277	262	54	7	4	4	12	58	1	18	5	206	245	309	554	103	244	21	4	237	46	—	—	—	—	—	—
2014	27	AAA MLE	Indianapolis Indians	—	416	386	77	13	7	2	20	102	7	30	13	199	252	285	537	85	263	25	5	241	49	—	—	—	—	—	—
2015	28	AAA MLE	2 teams	—	558	523	119	11	6	5	19	83	11	28	9	228	270	300	570	73	256	15	3	249	55	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	362	330	77	18	3	2	26	68	3	16	3	233	295	324	620	91	289	19	7	276	73	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	256	236	52	8	1	4	16	62	2	17	2	220	277	314	590	93	274	24	6	258	61	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	400	363	84	17	3	13	29	115	5	17	4	231	299	402	701	171	291	29	7	301	90	—	—	—	—	—	—
2019	32	AAA MLE	Omaha Storm Chasers	—	368	335	51	7	2	7	22	135	8	11	3	152	223	248	470	96	218	37	6	210	28	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	593	544	122	27	5	5	36	150	5	28	8	224	279	320	598	96	297	25	6	268	66	-23	+2	+3	+19	+13	1.5
/ 162G	—	A+C		—	650	596	133	30	5	5	39	164	5	31	9	223	276	315	591	92	296	25	6	268	66	-25	+3	+4	+21	+14	1.6
Career	—	MLE		—	4651	4247	937	173	51	58	270	1058	77	267	65	221	279	326	606	106	278	23	6	265	66	-23	+2	+3	+19	+13	1.5
/ 162G	—	MLE		—	650	594	131	24	7	8	38	148	11	37	9	221	280	325	605	104	278	23	6	265	66	-25	+3	+4	+21	+14	1.6

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.

2019 AAAOmaha Storm Chasers · 368 PAwOBA .298 → .210 (−88)K% 27.7% → 36.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.72%	÷0.971	×1.290	—	—	36.83%
BB% (unintentional) /PA	9.51%	÷1.065	×0.710	—	×0.952	6.04%
HBP% /PA	2.17%	—	×0.980	—	×0.952	2.03%
Singles /BIP	21.46%	÷1.024	×0.900	×0.950	×0.952	17.06%
Doubles /BIP	4.57%	÷0.973	×0.810	×0.950	×0.952	3.44%
Triples /BIP	1.37%	÷1.038	×0.810	×0.950	×0.952	0.97%
Home runs /BIP	4.57%	÷1.023	×0.780	—	×0.952	3.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 105, 2B 95, 3B 108, K 94, BB 113 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .298 → .210; ISO .143 → .097; BABIP .282 → .218. 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 AAASacramento River Cats · 300 PAwOBA .392 → .309 (−83)K% 21.7% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.67%	÷1.071	×1.290	—	—	26.09%
BB% (unintentional) /PA	12.67%	÷1.043	×0.710	—	×0.962	8.30%
HBP% /PA	1.33%	—	×0.980	—	×0.962	1.26%
Singles /BIP	23.40%	÷0.963	×0.900	×0.950	×0.962	19.98%
Doubles /BIP	7.45%	÷0.910	×0.810	×0.950	×0.962	6.05%
Triples /BIP	2.13%	÷1.150	×0.810	×0.950	×0.962	1.37%
Home runs /BIP	6.38%	÷0.998	×0.780	—	×0.962	4.80%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .392 → .309; ISO .229 → .177; BABIP .346 → .283. 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 AAAEl Paso Chihuahuas · 194 PAwOBA .345 → .268 (−77)K% 17.0% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.01%	÷1.005	×1.290	—	—	21.84%
BB% (unintentional) /PA	8.76%	÷0.921	×0.710	—	×0.972	6.57%
HBP% /PA	1.03%	—	×0.980	—	×0.972	0.98%
Singles /BIP	27.34%	÷1.040	×0.900	×0.973	×0.972	22.37%
Doubles /BIP	5.76%	÷0.983	×0.810	×0.973	×0.972	4.48%
Triples /BIP	0.72%	÷1.049	×0.810	×0.973	×0.972	0.53%
Home runs /BIP	2.88%	÷1.087	×0.780	—	×0.972	2.01%

Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — 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 ×0.973.

Result: wOBA .345 → .268; ISO .128 → .092; BABIP .343 → .275. 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 AAAGwinnett Braves · 100 PAwOBA .293 → .237 (−56)K% 16.0% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.046	×1.200	—	—	18.35%
BB% (unintentional) /PA	6.00%	÷1.022	×0.690	—	×0.982	3.98%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	20.51%	÷1.017	×0.930	×0.975	×0.982	17.96%
Doubles /BIP	7.69%	÷0.991	×0.830	×0.975	×0.982	6.17%
Triples /BIP	1.28%	÷1.150	×0.970	×0.975	×0.982	1.04%
Home runs /BIP	1.28%	÷1.132	×0.840	—	×0.982	0.93%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 103, 2B 98, 3B 130, K 109, BB 104 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .293 → .237; ISO .117 → .091; BABIP .299 → .254. 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 · 540 PAwOBA .295 → .250 (−45)K% 11.9% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.85%	÷1.019	×1.200	—	—	13.96%
BB% (unintentional) /PA	4.81%	÷1.013	×0.690	—	×0.992	3.25%
HBP% /PA	2.04%	—	×0.940	—	×0.992	1.90%
Singles /BIP	24.25%	÷0.991	×0.930	×0.962	×0.992	21.70%
Doubles /BIP	4.16%	÷1.314	×0.830	×0.962	×0.992	2.50%
Triples /BIP	1.15%	÷0.921	×0.970	×0.962	×0.992	1.16%
Home runs /BIP	1.15%	÷0.845	×0.840	—	×0.992	1.14%

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 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 ×0.962.

Result: wOBA .295 → .250; ISO .087 → .072; BABIP .298 → .255. 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 AAAIndianapolis Indians · 416 PAwOBA .295 → .241 (−53)K% 19.7% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.71%	÷0.968	×1.200	—	—	24.43%
BB% (unintentional) /PA	6.73%	÷0.944	×0.690	—	×1.003	4.94%
HBP% /PA	1.68%	—	×0.940	—	×1.003	1.59%
Singles /BIP	22.79%	÷1.068	×0.930	×0.965	×1.003	19.20%
Doubles /BIP	5.44%	÷0.932	×0.830	×0.965	×1.003	4.69%
Triples /BIP	3.06%	÷1.150	×0.970	×0.965	×1.003	2.50%
Home runs /BIP	0.68%	÷0.854	×0.840	—	×1.003	0.67%

Factors used: league row IL. Park (home-season share, regressed): HR 71, 1B 114, 2B 86, 3B 130, K 94, BB 89 — 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 ×0.965.

Result: wOBA .295 → .241; ISO .106 → .089; BABIP .312 → .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).

2013 AAAIndianapolis Indians · 262 PAwOBA .277 → .242 (−35)K% 16.4% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.41%	÷0.909	×1.200	—	—	21.67%
BB% (unintentional) /PA	6.49%	÷1.012	×0.690	—	×1.018	4.51%
HBP% /PA	0.38%	—	×0.940	—	×1.018	0.37%
Singles /BIP	20.30%	÷0.978	×0.930	×0.981	×1.018	19.27%
Doubles /BIP	4.06%	÷0.954	×0.830	×0.981	×1.018	3.53%
Triples /BIP	2.03%	÷1.080	×0.970	×0.981	×1.018	1.82%
Home runs /BIP	2.03%	÷0.901	×0.840	—	×1.018	1.93%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 96, 2B 91, 3B 116, K 82, BB 102 — 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 ×0.981.

Result: wOBA .277 → .242; ISO .117 → .104; BABIP .268 → .250. 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 AAAltoona Curve · 15 PAwOBA .163 → .143 (−21)K% 6.7% → 9.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷0.905	×1.220	—	—	8.98%
BB% (unintentional) /PA	6.67%	÷1.073	×0.700	—	×0.988	4.30%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	15.38%	÷0.997	×0.970	—	×0.988	14.79%
Doubles /BIP	0.00%	÷0.933	×0.860	—	×0.988	0.00%
Triples /BIP	0.00%	÷1.006	×0.950	—	×0.988	0.00%
Home runs /BIP	0.00%	÷0.836	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 67, 1B 99, 2B 87, 3B 101, K 81, BB 115 — 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).

Result: wOBA .163 → .143; ISO .000 → .000; BABIP .154 → .148. 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).