Chris Herrmann

PosC

B/TL/R

Born1987-11-24

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	31	AAAOAK	58	.333/.404/.667	4	0	97	—	.226/.281/.415
2019	31	MLBOakland Athle…	94	.202/.280/.274	1	0	60	0.0
2021	33	AAABOS	181	.222/.330/.431	7	0	51	—	.173/.251/.302
2022	34	AAAWSH	86	.173/.271/.187	0	0	1	—	.139/.200/.152
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR 0.0

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Avg EV51

xwOBA50

Barrel%44

Speed26

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	21	ROK	Elizabethton Twins	—	277	236	70	14	1	7	33	40	5	2	2	297	394	453	848	157	330	14	12	377	72	—	—	—	—	—	—
2010	22	A+	Fort Myers Miracle	—	408	356	78	17	3	2	41	74	7	3	2	219	312	301	612	81	270	18	10	283	45	—	—	—	—	—	—
2011	23	AA	New Britain Rock Cats	—	407	337	87	14	5	7	64	68	2	9	3	258	379	392	770	134	305	17	16	349	87	—	—	—	—	—	—
2011	23	A+	Fort Myers Miracle	—	106	87	27	5	1	1	15	6	0	1	0	310	412	425	837	115	317	6	14	365	109	—	—	—	—	—	—
2011	23	INTL	Mesa Solar Sox	—	57	50	19	6	0	2	7	6	0	3	0	380	456	620	1.076	240	405	11	12	469	203	—	—	—	—	—	—
2012	24	MLB	Minnesota Twins	—	19	18	1	0	0	0	1	5	0	0	0	56	105	56	161		77	26	5	84	-57	-4	+0	-1	+10	+0	0.7
2012	24	AA	New Britain Rock Cats	—	558	490	135	25	1	10	58	89	1	2	1	276	352	392	744	116	315	16	10	332	80	—	—	—	—	—	—
2013	25	MLB	Minnesota Twins	—	178	157	32	7	0	4	18	49	0	0	1	204	286	325	611	121	269	28	10	275	72	-6	-0	-2	+9	+4	0.4
2013	25	AAA	Rochester Red Wings	—	275	247	56	9	3	2	24	61	1	3	2	227	298	312	610	85	292	22	9	277	46	—	—	—	—	—	—
2013	25	INTL	Estrellas de Oriente	—	38	30	6	2	0	0	6	9	0	0	1	200	333	267	600	67	273	24	16	273	71	—	—	—	—	—	—
2014	26	MLB	Minnesota Twins	—	79	75	16	3	0	0	4	17	0	1	0	213	253	253	506	40	276	22	5	233	44	-5	+0	-4	-3	+2	-1.1
2014	26	AAA	Rochester Red Wings	—	228	204	62	18	4	5	21	45	2	4	1	304	374	505	879	201	368	20	9	385	101	—	—	—	—	—	—
2015	27	MLB	Minnesota Twins	—	113	103	15	5	1	2	7	37	2	0	0	146	214	272	486	126	203	33	6	220	35	-9	+0	-0	+4	+2	-0.3
2015	27	AAA	Rochester Red Wings	—	88	73	19	3	0	1	11	13	2	3	0	260	372	342	715	82	295	15	12	326	79	—	—	—	—	—	—
2016	28	MLB	Arizona Diamondbacks	—	166	148	42	5	4	6	16	44	0	4	0	284	354	493	847	209	364	27	10	367	123	+5	+1	-3	+3	+4	1.0
2016	28	AAA	Reno Aces	—	28	23	2	1	0	0	3	8	1	0	0	87	222	130	353	43	125	29	11	179	-19	—	—	—	—	—	—
2017	29	MLB	Arizona Diamondbacks	—	256	226	41	7	0	10	29	67	0	5	0	181	275	345	620	164	207	26	11	280	73	-8	+1	-4	+5	+6	-0.1
2018	30	MLB	Seattle Mariners	—	87	76	18	4	2	2	10	24	0	0	0	237	326	421	747	184	314	28	11	328	111	+1	+0	+1	+5	+2	0.9
2018	30	AAA	Tacoma Rainiers	—	174	136	35	3	1	6	36	42	1	0	0	257	416	426	843	169	330	24	21	382	90	—	—	—	—	—	—
2019	31	MLB	Oakland Athletics	—	94	84	17	3	0	1	9	29	0	0	0	202	280	274	553	71	296	31	10	255	60	-4	+0	+0	+3	+2	0.0
2019	31	AAA	Las Vegas Aviators	—	58	51	17	3	1	4	6	18	0	0	0	333	404	667	1.070	333	433	31	10	450	97	—	—	—	—	—	—
2021	33	AAA	Worcester Red Sox	—	181	153	34	9	1	7	22	56	3	0	0	222	330	431	761	209	293	31	12	335	51	—	—	—	—	—	—
2022	34	AAA	Rochester Red Wings	—	86	75	13	1	0	0	10	25	0	0	0	173	271	187	457	13	255	29	12	222	1	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	992	887	182	34	7	25	94	272	2	10	1	205	283	344	627	139	265	27	9	281	76	-28	+2	-13	+35	+21	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	21	ROK MLE	Elizabethton Twins	—	277	249	55	10	1	5	20	57	5	2	2	221	292	329	621	108	257	21	7	274	72	—	—	—	—	—	—
2010	22	A+ MLE	Fort Myers Miracle	—	408	367	68	14	2	2	30	111	7	3	2	185	260	251	511	65	257	27	7	235	45	—	—	—	—	—	—
2011	23	AA MLE	New Britain Rock Cats	—	407	356	82	12	4	6	46	83	2	9	3	230	322	337	659	107	284	20	11	297	87	—	—	—	—	—	—
2011	23	A+ MLE	Fort Myers Miracle	—	106	92	27	6	1	1	10	9	0	1	0	293	363	413	776	120	289	8	9	330	109	—	—	—	—	—	—
2012	24	MLB MLE	Minnesota Twins	—	19	18	1	0	0	0	1	5	0	0	0	56	105	56	161		77	26	5	84	-57	-4	+0	-1	+10	+0	0.7
2012	24	AA MLE	New Britain Rock Cats	—	558	512	127	20	1	10	38	110	1	2	1	248	301	350	651	102	289	20	7	286	80	—	—	—	—	—	—
2013	25	MLB MLE	Minnesota Twins	—	178	157	32	7	0	4	18	49	0	0	1	204	286	325	611	121	269	28	10	274	72	-6	-0	-2	+9	+4	0.4
2013	25	AAA MLE	Rochester Red Wings	—	275	255	52	8	3	2	16	74	1	3	2	204	254	282	536	78	273	27	6	236	46	—	—	—	—	—	—
2014	26	MLB MLE	Minnesota Twins	—	79	75	16	3	0	0	4	17	0	1	0	213	253	253	506	40	276	22	5	233	44	-5	+0	-4	-3	+2	-1.1
2014	26	AAA MLE	Rochester Red Wings	—	228	215	56	15	4	4	10	54	2	4	1	260	300	423	723	163	330	24	4	318	101	—	—	—	—	—	—
2015	27	MLB MLE	Minnesota Twins	—	113	103	15	5	1	2	7	37	2	0	0	146	214	272	486	126	203	33	6	220	35	-9	+0	-0	+4	+2	-0.3
2015	27	AAA MLE	Rochester Red Wings	—	88	76	19	3	0	1	8	15	2	3	0	250	337	329	666	79	265	17	9	285	79	—	—	—	—	—	—
2016	28	MLB MLE	Arizona Diamondbacks	—	166	149	41	5	3	6	15	44	0	4	0	275	341	470	811	195	364	27	9	351	123	+5	+1	-3	+3	+4	1.0
2016	28	AAA MLE	Reno Aces	—	28	24	2	1	0	0	2	10	1	0	0	83	185	125	310	42	99	36	7	140	-19	—	—	—	—	—	—
2017	29	MLB MLE	Arizona Diamondbacks	—	256	226	40	6	0	10	29	67	0	5	0	177	271	336	607	159	207	26	11	276	73	-8	+1	-4	+5	+6	-0.1
2018	30	MLB MLE	Seattle Mariners	—	87	76	18	4	2	2	10	24	0	0	0	237	326	421	747	184	314	28	11	332	111	+1	+0	+1	+5	+2	0.9
2018	30	AAA MLE	Tacoma Rainiers	—	174	150	33	3	1	5	22	53	1	0	0	220	324	353	677	133	295	30	13	301	90	—	—	—	—	—	—
2019	31	MLB MLE	Oakland Athletics	—	94	84	17	3	0	1	9	29	0	0	0	202	280	274	553	71	296	31	10	257	60	-4	+0	+0	+3	+2	0.0
2019	31	AAA MLE	Las Vegas Aviators	—	58	53	12	2	1	2	4	23	0	0	0	226	281	415	696	189	341	40	7	311	97	—	—	—	—	—	—
2021	33	AAA MLE	Worcester Red Sox	—	181	162	28	7	1	4	14	66	3	0	0	173	251	302	554	130	252	36	8	243	51	—	—	—	—	—	—
2022	34	AAA MLE	Rochester Red Wings	—	86	79	11	1	0	0	6	29	0	0	0	139	200	152	352	13	212	34	7	169	1	—	—	—	—	—	—
2009	21	ROK MLE	Elizabethton Twins	—	277	249	55	10	1	5	20	57	5	2	2	221	292	329	621	108	265	21	7	274	72	—	—	—	—	—	—
2009	21	ROK RAW	Elizabethton Twins	—	277	236	70	14	1	7	33	40	5	2	2	297	394	453	848	157	330	14	12	377	72	—	—	—	—	—	—
2010	22	A+ MLE	Fort Myers Miracle	—	408	367	68	14	2	2	30	111	7	3	2	185	260	251	511	65	258	27	7	235	45	—	—	—	—	—	—
2010	22	A+ RAW	Fort Myers Miracle	—	408	356	78	17	3	2	41	74	7	3	2	219	312	301	612	81	270	18	10	283	45	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	570	499	122	20	6	8	62	102	2	13	3	244	330	357	687	112	292	18	11	304	92	—	—	—	—	—	—
2011	23	AA RAW	3 teams	—	570	474	133	25	6	10	86	80	2	13	3	281	393	422	814	141	319	14	15	364	92	—	—	—	—	—	—
2012	24	AA MLE	2 teams	—	577	530	128	20	1	10	39	115	1	2	1	242	295	340	634	98	287	20	7	279	75	—	—	—	—	—	—
2012	24	AA RAW	2 teams	—	577	508	136	25	1	10	59	94	1	2	1	268	344	380	724	112	307	16	10	324	75	—	—	—	—	—	—
2013	25	AAA MLE	3 teams	—	491	446	91	16	4	6	36	134	1	3	4	204	265	298	563	94	276	27	7	251	56	—	—	—	—	—	—
2013	25	AAA RAW	3 teams	—	491	434	94	18	3	6	48	119	1	3	4	217	296	313	609	97	283	24	10	276	56	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	307	290	72	18	4	4	14	71	2	5	1	248	288	379	667	131	315	23	5	296	87	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	307	279	78	21	4	5	25	62	2	5	1	280	343	437	780	158	343	20	8	346	87	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	201	179	34	8	1	3	15	52	4	3	0	190	268	296	564	106	246	26	7	248	54	-11	+1	-0	+4	+4	-0.2
2015	27	MLB RAW	2 teams	—	201	176	34	8	1	3	18	50	4	3	0	193	283	301	584	108	248	25	9	266	54	-11	+1	-0	+4	+4	-0.2
2016	28	MLB MLE	2 teams	—	194	173	42	5	3	6	17	54	1	4	0	243	314	410	725	168	313	28	9	320	103	+1	+1	-3	+3	+4	0.6
2016	28	MLB RAW	2 teams	—	194	171	44	6	4	6	19	52	1	4	0	257	335	444	780	187	330	27	10	340	103	+1	+1	-3	+3	+4	0.6
2017	29	MLB MLE	Arizona Diamondbacks	—	256	226	40	6	0	10	29	67	0	5	0	177	271	336	607	159	200	26	11	276	73	-8	+1	-4	+5	+6	-0.1
2017	29	MLB RAW	Arizona Diamondbacks	—	256	226	41	7	0	10	29	67	0	5	0	181	275	345	620	164	207	26	11	280	73	-8	+1	-4	+5	+6	-0.1
2018	30	AAA MLE	2 teams	—	261	226	51	7	3	7	32	77	1	0	0	226	324	376	700	150	308	30	12	311	97	—	—	—	—	—	—
2018	30	AAA RAW	2 teams	—	261	212	53	7	3	8	46	66	1	0	0	250	386	425	811	175	324	25	18	364	97	—	—	—	—	—	—
2019	31	MLB MLE	2 teams	—	152	137	30	5	1	4	13	52	0	0	0	219	287	358	644	139	317	34	9	277	74	-5	+0	+0	+3	+3	0.1
2019	31	MLB RAW	2 teams	—	152	135	34	6	1	5	15	47	0	0	0	252	327	422	749	170	345	31	10	330	74	-5	+0	+0	+3	+3	0.1
2021	33	AAA MLE	Worcester Red Sox	—	181	162	28	7	1	4	14	66	3	0	0	173	251	302	554	130	255	36	8	243	51	—	—	—	—	—	—
2021	33	AAA RAW	Worcester Red Sox	—	181	153	34	9	1	7	22	56	3	0	0	222	330	431	761	209	293	31	12	335	51	—	—	—	—	—	—
2022	34	AAA MLE	Rochester Red Wings	—	86	79	11	1	0	0	6	29	0	0	0	139	200	152	352	13	216	34	7	169	1	—	—	—	—	—	—
2022	34	AAA RAW	Rochester Red Wings	—	86	75	13	1	0	0	10	25	0	0	0	173	271	187	457	13	255	29	12	222	1	—	—	—	—	—	—
2009	21	ROK MLE	Elizabethton Twins	—	277	250	55	10	1	5	20	57	5	2	2	220	292	328	620	108	257	21	7	274	72	—	—	—	—	—	—
2010	22	A+ MLE	Fort Myers Miracle	—	408	368	68	14	2	2	30	111	7	3	2	185	260	250	510	65	257	27	7	235	45	—	—	—	—	—	—
2011	23	AA MLE	3 teams	—	570	501	122	20	6	8	62	102	2	13	3	244	330	355	686	112	285	18	11	304	92	—	—	—	—	—	—
2012	24	AA MLE	2 teams	—	577	532	128	20	1	10	39	115	1	2	1	241	295	338	633	98	282	20	7	279	75	—	—	—	—	—	—
2013	25	AAA MLE	3 teams	—	491	451	91	16	4	6	36	134	1	3	4	202	265	295	560	93	272	27	7	251	56	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	307	288	72	18	4	4	14	71	2	5	1	250	288	382	670	132	316	23	5	296	87	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	201	180	34	8	1	3	15	52	4	3	0	189	268	294	562	106	230	26	7	248	54	—	—	—	—	—	—
2016	28	MLB MLE	2 teams	—	194	174	42	5	3	6	17	54	1	4	0	241	314	408	722	167	325	28	9	320	103	—	—	—	—	—	—
2017	29	MLB MLE	Arizona Diamondbacks	—	256	225	40	6	0	10	29	67	0	5	0	178	271	338	608	160	207	26	11	276	73	—	—	—	—	—	—
2018	30	AAA MLE	2 teams	—	261	226	51	7	3	7	32	77	1	0	0	226	324	376	700	150	301	30	12	311	97	—	—	—	—	—	—
2019	31	MLB MLE	2 teams	—	152	138	30	5	1	4	13	52	0	0	0	217	287	355	642	138	313	34	9	277	74	—	—	—	—	—	—
2021	33	AAA MLE	Worcester Red Sox	—	181	162	28	7	1	4	14	66	3	0	0	173	251	302	554	130	252	36	8	243	51	—	—	—	—	—	—
2022	34	AAA MLE	Rochester Red Wings	—	86	80	11	1	0	0	6	29	0	0	0	138	200	150	350	12	212	34	7	169	1	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	992	887	182	34	7	25	94	272	2	10	1	205	283	344	627	139	265	27	9	281	72	-28	+2	-13	+35	+21	1.7
/ 162G	—	A+C		—	650	581	119	22	5	16	62	178	1	7	1	205	283	343	625	138	265	27	10	281	72	-18	+1	-9	+23	+14	1.1
Career	—	MLE		—	3961	3563	772	137	27	69	327	987	27	40	13	217	287	328	616	112	278	25	8	274	72	-28	+2	-13	+35	+21	1.7
/ 162G	—	MLE		—	650	585	125	22	4	11	54	162	4	7	2	214	285	321	606	108	274	25	8	274	72	-18	+1	-9	+23	+14	1.1

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 AAARochester Red Wings · 86 PAwOBA .214 → .169 (−45)K% 29.1% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.07%	÷1.049	×1.200	—	—	33.27%
BB% (unintentional) /PA	10.47%	÷0.973	×0.690	—	×0.940	6.98%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	24.00%	÷1.011	×0.930	×0.964	×0.940	20.02%
Doubles /BIP	2.00%	÷0.930	×0.830	×0.964	×0.940	1.62%
Triples /BIP	0.00%	÷0.913	×0.970	×0.964	×0.940	0.00%
Home runs /BIP	0.00%	÷1.084	×0.700	—	×0.940	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 83, K 110, BB 95 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .214 → .169; ISO .013 → .011; BABIP .255 → .212. 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 AAAWorcester Red Sox · 181 PAwOBA .328 → .243 (−85)K% 30.9% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.94%	÷1.021	×1.200	—	—	36.38%
BB% (unintentional) /PA	11.60%	÷1.008	×0.690	—	×0.940	7.47%
HBP% /PA	1.66%	—	×0.940	—	×0.940	1.46%
Singles /BIP	17.53%	÷0.974	×0.930	×1.036	×0.940	16.31%
Doubles /BIP	9.28%	÷0.992	×0.830	×1.036	×0.940	7.57%
Triples /BIP	1.03%	÷1.023	×0.920	×1.036	×0.940	0.90%
Home runs /BIP	7.22%	÷1.318	×0.700	—	×0.940	3.60%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 95, 2B 98, 3B 105, K 104, BB 102 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .328 → .243; ISO .209 → .131; BABIP .293 → .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).

2019 AAALas Vegas Aviators · 58 PAwOBA .445 → .311 (−135)K% 31.0% → 40.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.03%	÷0.990	×1.290	—	—	40.42%
BB% (unintentional) /PA	10.34%	÷0.985	×0.710	—	×0.952	7.10%
HBP% /PA	0.00%	—	×0.980	—	×0.952	0.00%
Singles /BIP	27.27%	÷1.018	×0.900	—	×0.952	22.95%
Doubles /BIP	9.09%	÷0.951	×0.810	—	×0.952	7.37%
Triples /BIP	3.03%	÷1.102	×0.810	—	×0.952	2.12%
Home runs /BIP	12.12%	÷1.119	×0.780	—	×0.952	8.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 90, 3B 120, K 98, BB 97 — 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).

Result: wOBA .445 → .311; ISO .333 → .213; BABIP .433 → .341. 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 AAATacoma Rainiers · 174 PAwOBA .371 → .301 (−70)K% 24.1% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.14%	÷1.031	×1.290	—	—	30.19%
BB% (unintentional) /PA	20.11%	÷1.103	×0.710	—	×0.962	12.45%
HBP% /PA	0.57%	—	×0.980	—	×0.962	0.54%
Singles /BIP	26.60%	÷1.006	×0.900	×1.050	×0.962	24.04%
Doubles /BIP	3.19%	÷0.885	×0.810	×1.050	×0.962	2.95%
Triples /BIP	1.06%	÷0.900	×0.810	×1.050	×0.962	0.97%
Home runs /BIP	6.38%	÷0.918	×0.780	—	×0.962	5.22%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 101, 2B 77, 3B 80, K 106, BB 121 — 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 ×1.050.

Result: wOBA .371 → .301; ISO .169 → .149; BABIP .330 → .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).

2016 AAAReno Aces · 28 PAwOBA .182 → .140 (−42)K% 28.6% → 37.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷0.991	×1.290	—	—	37.20%
BB% (unintentional) /PA	10.71%	÷0.979	×0.710	—	×0.982	7.63%
HBP% /PA	3.57%	—	×0.980	—	×0.982	3.44%
Singles /BIP	6.67%	÷1.052	×0.900	—	×0.982	5.60%
Doubles /BIP	6.67%	÷1.060	×0.810	—	×0.982	5.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.092	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 110, 2B 112, 3B 130, K 98, BB 96 — 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).

Result: wOBA .182 → .140; ISO .043 → .032; BABIP .125 → .099. 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 AAARochester Red Wings · 88 PAwOBA .325 → .285 (−41)K% 14.8% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.77%	÷1.030	×1.200	—	—	17.21%
BB% (unintentional) /PA	12.50%	÷0.980	×0.690	—	×0.992	8.73%
HBP% /PA	2.27%	—	×0.940	—	×0.992	2.12%
Singles /BIP	25.00%	÷0.979	×0.930	×0.974	×0.992	22.94%
Doubles /BIP	5.00%	÷0.987	×0.830	×0.974	×0.992	4.06%
Triples /BIP	0.00%	÷0.932	×0.970	×0.974	×0.992	0.00%
Home runs /BIP	1.67%	÷0.956	×0.840	—	×0.992	1.45%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 96, 2B 97, 3B 86, K 106, BB 96 — 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 ×0.974.

Result: wOBA .325 → .285; ISO .082 → .073; BABIP .295 → .265. 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 AAARochester Red Wings · 228 PAwOBA .371 → .318 (−52)K% 19.7% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.74%	÷1.002	×1.200	—	—	23.64%
BB% (unintentional) /PA	7.46%	÷1.125	×0.690	—	×1.003	4.59%
HBP% /PA	0.88%	—	×0.940	—	×1.003	0.83%
Singles /BIP	22.01%	÷1.010	×0.930	×1.013	×1.003	20.59%
Doubles /BIP	11.32%	÷1.059	×0.830	×1.013	×1.003	9.01%
Triples /BIP	2.52%	÷0.900	×0.970	×1.013	×1.003	2.75%
Home runs /BIP	3.14%	÷1.075	×0.840	—	×1.003	2.46%

Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 102, 2B 112, 3B 80, K 100, BB 125 — 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 ×1.013.

Result: wOBA .371 → .318; ISO .201 → .174; BABIP .368 → .330. 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 AAARochester Red Wings · 275 PAwOBA .269 → .236 (−33)K% 22.2% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.18%	÷0.987	×1.200	—	—	26.97%
BB% (unintentional) /PA	8.36%	÷1.026	×0.690	—	×1.018	5.73%
HBP% /PA	0.36%	—	×0.940	—	×1.018	0.35%
Singles /BIP	22.58%	÷1.040	×0.930	×1.024	×1.018	21.04%
Doubles /BIP	4.84%	÷0.977	×0.830	×1.024	×1.018	4.29%
Triples /BIP	1.61%	÷0.900	×0.970	×1.024	×1.018	1.81%
Home runs /BIP	1.08%	÷0.938	×0.840	—	×1.018	0.98%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 108, 2B 95, 3B 80, K 97, BB 105 — 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 ×1.024.

Result: wOBA .269 → .236; ISO .085 → .081; BABIP .292 → .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).