Chris Parmelee

Pos1B

B/TL/L

Born1988-02-24

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2016	28	AAAScranton/Wilk…	245	.248/.337/.449	11	74	—	.205/.267/.362
2017	29	AAANew Orleans B…	200	.213/.328/.373	6	45	—	.157/.242/.281
2019	31	AALAD	328	.236/.361/.458	16	66	—	.175/.256/.339

Contract

No contract data on file.

Scouting grades · 20-80

Power48Speed54Eye43

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)
2006	18	A	Beloit Snappers	—	27	22	5	1	0	0	5	9	0	0	2	227	370	273	643	45	385	33	19	311	45	—	—	—	—	—	—
2006	18	ROK	GCL Twins	—	179	154	43	7	4	8	23	47	0	3	3	279	373	532	905	253	347	26	13	390	63	—	—	—	—	—	—
2007	19	A	Beloit Snappers	—	501	447	107	23	5	15	46	137	4	8	4	239	316	414	730	174	308	27	9	323	55	—	—	—	—	—	—
2008	20	A	Beloit Snappers	—	289	226	54	10	3	14	52	83	5	3	1	239	392	496	888	257	299	29	18	385	86	—	—	—	—	—	—
2009	21	A+	Fort Myers Miracle	—	501	422	109	27	1	16	65	109	6	2	2	258	365	441	806	182	305	22	13	356	86	—	—	—	—	—	—
2010	22	AA	New Britain Rock Cats	—	463	411	113	25	2	6	43	70	2	3	2	275	346	389	736	114	313	15	9	328	82	—	—	—	—	—	—
2010	22	A+	Fort Myers Miracle	—	93	80	27	2	1	2	13	11	0	0	1	338	430	463	893	125	373	12	14	401	116	—	—	—	—	—	—
2010	22	INTL	Peoria Saguaros	—	121	109	37	11	2	0	12	17	0	0	0	339	405	477	882	138	402	14	10	392	151	—	—	—	—	—	—
2011	23	MLB	Minnesota Twins	—	88	76	27	6	0	4	12	13	0	0	0	355	443	592	1.035	237	390	15	14	452	192	+10	+0	-1	-12	+2	-0.2
2011	23	AA	New Britain Rock Cats	—	610	530	152	30	5	13	68	94	3	0	1	287	371	436	807	149	322	15	11	356	92	—	—	—	—	—	—
2012	24	MLB	Minnesota Twins	—	210	192	44	10	2	5	13	52	4	0	0	229	292	380	672	151	287	25	6	300	86	-3	+0	-4	-9	+5	-1.2
2012	24	AAA	Rochester Red Wings	—	282	228	77	17	1	17	51	52	1	1	1	338	461	645	1.105	307	373	18	18	472	164	—	—	—	—	—	—
2013	25	MLB	Minnesota Twins	—	333	294	67	13	0	8	33	81	3	1	1	228	312	354	666	126	284	24	10	301	90	-4	-0	-4	-6	+7	-0.7
2013	25	AAA	Rochester Red Wings	—	198	173	40	13	1	3	22	32	1	1	0	231	321	370	691	139	264	16	11	310	59	—	—	—	—	—	—
2014	26	MLB	Minnesota Twins	—	270	250	64	11	0	7	17	64	2	0	3	256	309	384	693	128	317	24	6	310	96	-1	-1	-3	-5	+6	-0.5
2014	26	AAA	Rochester Red Wings	—	135	118	36	7	0	7	14	24	1	0	0	305	383	542	926	237	326	18	10	400	104	—	—	—	—	—	—
2014	26	INTL	Tigres del Licey	—	70	63	17	3	0	1	7	19	0	1	0	270	343	365	708	95	372	27	10	323	104	—	—	—	—	—	—
2015	27	MLB	Baltimore Orioles	—	102	97	21	7	1	4	4	26	1	0	1	216	255	433	688	216	254	25	4	300	84	-2	-0	-2	-7	+2	-0.9
2015	27	AAA	Norfolk Tides	—	272	239	75	13	0	6	29	52	1	3	1	314	390	444	834	130	375	19	11	371	92	—	—	—	—	—	—
2016	28	AAA	Scranton/Wilkes-Barre RailRiders	—	245	214	53	10	0	11	29	42	0	0	0	248	337	449	786	201	258	17	12	347	74	—	—	—	—	—	—
2017	29	AAA	New Orleans Baby Cakes	—	200	169	36	9	0	6	29	53	0	0	1	213	328	373	701	160	268	26	14	316	45	—	—	—	—	—	—
2019	31	AA	Tulsa Drillers	—	328	271	64	10	1	16	52	91	1	0	0	236	361	458	819	221	286	28	16	361	66	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1003	909	223	47	3	28	79	236	10	1	5	245	313	396	709	151	300	24	8	316	100	+0	-2	-15	-39	+22	-3.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	18	A MLE	Beloit Snappers	—	27	23	4	1	0	0	4	12	0	0	2	174	296	217	514	43	364	44	15	235	45	—	—	—	—	—	—
2006	18	ROK MLE	GCL Twins	—	179	163	30	4	3	6	14	68	0	3	3	184	249	356	604	172	261	38	8	262	63	—	—	—	—	—	—
2007	19	A MLE	Beloit Snappers	—	501	460	87	18	4	11	33	186	4	8	4	189	249	317	567	128	279	37	7	249	55	—	—	—	—	—	—
2008	20	A MLE	Beloit Snappers	—	289	242	45	8	3	11	36	113	5	3	1	186	304	380	684	194	257	39	12	296	86	—	—	—	—	—	—
2009	21	A+ MLE	Fort Myers Miracle	—	501	441	95	24	1	14	46	155	6	2	2	215	298	370	668	154	281	31	9	295	86	—	—	—	—	—	—
2010	22	AA MLE	New Britain Rock Cats	—	463	424	106	22	2	5	30	83	2	3	2	250	303	347	649	97	289	18	6	289	82	—	—	—	—	—	—
2010	22	A+ MLE	Fort Myers Miracle	—	93	83	25	2	1	2	10	16	0	0	1	301	376	422	798	120	342	17	11	340	116	—	—	—	—	—	—
2011	23	MLB MLE	Minnesota Twins	—	88	76	27	6	0	4	12	13	0	0	0	355	443	592	1.035	237	390	15	14	452	192	+10	+0	-1	-12	+2	-0.2
2011	23	AA MLE	New Britain Rock Cats	—	610	549	137	24	4	12	49	115	3	0	1	250	314	373	688	124	285	19	8	304	92	—	—	—	—	—	—
2012	24	MLB MLE	Minnesota Twins	—	210	193	44	10	2	5	12	52	4	0	0	228	287	378	665	150	287	25	6	296	86	-3	+0	-4	-9	+5	-1.2
2012	24	AAA MLE	Rochester Red Wings	—	282	248	74	17	1	16	31	59	1	1	1	298	379	569	947	270	329	21	11	411	164	—	—	—	—	—	—
2013	25	MLB MLE	Minnesota Twins	—	333	294	67	13	0	8	33	81	3	1	1	228	312	354	666	126	284	24	10	301	90	-4	-0	-4	-6	+7	-0.7
2013	25	AAA MLE	Rochester Red Wings	—	198	181	36	11	1	3	14	39	1	1	0	199	260	320	581	122	229	20	7	256	59	—	—	—	—	—	—
2014	26	MLB MLE	Minnesota Twins	—	270	250	64	11	0	7	17	64	2	0	3	256	309	384	693	128	317	24	6	309	96	-1	-1	-3	-5	+6	-0.5
2014	26	AAA MLE	Rochester Red Wings	—	135	123	31	5	0	6	9	29	1	0	0	252	308	439	747	187	277	21	7	322	104	—	—	—	—	—	—
2015	27	MLB MLE	Baltimore Orioles	—	102	97	21	7	1	4	4	26	1	0	1	216	255	433	688	216	254	25	4	293	84	-2	-0	-2	-7	+2	-0.9
2015	27	AAA MLE	Norfolk Tides	—	272	250	68	11	0	5	18	65	1	3	1	272	323	376	699	104	334	24	7	304	92	—	—	—	—	—	—
2016	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	245	224	46	8	0	9	19	51	0	0	0	205	267	362	629	156	217	21	8	277	74	—	—	—	—	—	—
2017	29	AAA MLE	New Orleans Baby Cakes	—	200	178	28	7	0	5	20	70	0	0	1	157	242	281	523	124	219	35	10	234	45	—	—	—	—	—	—
2019	31	AA MLE	Tulsa Drillers	—	328	292	51	7	1	13	31	116	1	0	0	175	256	339	595	164	226	35	9	266	66	—	—	—	—	—	—
2006	18	ROK MLE	2 teams	—	206	186	35	5	3	6	18	80	0	3	5	188	260	344	604	156	284	39	9	258	61	—	—	—	—	—	—
2006	18	ROK RAW	2 teams	—	206	176	48	8	4	8	28	56	0	3	5	273	373	500	873	227	351	27	14	380	61	—	—	—	—	—	—
2007	19	A MLE	Beloit Snappers	—	501	460	87	18	4	11	33	186	4	8	4	189	249	317	567	128	285	37	7	249	55	—	—	—	—	—	—
2007	19	A RAW	Beloit Snappers	—	501	447	107	23	5	15	46	137	4	8	4	239	316	414	730	174	308	27	9	323	55	—	—	—	—	—	—
2008	20	A MLE	Beloit Snappers	—	289	242	45	8	3	11	36	113	5	3	1	186	304	380	684	194	276	39	12	296	86	—	—	—	—	—	—
2008	20	A RAW	Beloit Snappers	—	289	226	54	10	3	14	52	83	5	3	1	239	392	496	888	257	299	29	18	385	86	—	—	—	—	—	—
2009	21	A+ MLE	Fort Myers Miracle	—	501	441	95	24	1	14	46	155	6	2	2	215	298	370	668	154	289	31	9	295	86	—	—	—	—	—	—
2009	21	A+ RAW	Fort Myers Miracle	—	501	422	109	27	1	16	65	109	6	2	2	258	365	441	806	182	305	22	13	356	86	—	—	—	—	—	—
2010	22	AA MLE	3 teams	—	677	620	160	29	4	9	48	121	2	3	3	258	313	361	675	103	304	18	7	298	88	—	—	—	—	—	—
2010	22	AA RAW	3 teams	—	677	600	177	38	5	8	68	98	2	3	3	295	369	415	784	120	337	14	10	349	88	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	698	625	164	30	4	16	61	128	3	0	1	262	331	400	731	138	302	18	9	323	104	—	—	—	—	—	—
2011	23	AA RAW	2 teams	—	698	606	179	36	5	17	80	107	3	0	1	295	380	455	836	160	330	15	11	368	104	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	492	441	118	27	3	21	43	111	5	1	1	268	339	485	825	218	311	23	9	362	131	—	—	—	—	—	—
2012	24	AAA RAW	2 teams	—	492	420	121	27	3	22	64	104	5	1	1	288	389	524	912	236	333	21	13	399	131	—	—	—	—	—	—
2013	25	MLB MLE	2 teams	—	531	475	103	24	1	11	47	120	4	2	1	217	293	341	634	124	264	23	9	284	78	-14	+0	-4	-6	+12	-1.2
2013	25	MLB RAW	2 teams	—	531	467	107	26	1	11	55	113	4	2	1	229	316	360	675	131	276	21	10	304	78	-14	+0	-4	-6	+12	-1.2
2014	26	MLB MLE	3 teams	—	475	439	112	19	0	15	30	109	3	1	3	255	307	401	708	146	305	23	6	314	98	-1	-1	-3	-5	+10	0.0
2014	26	MLB RAW	3 teams	—	475	431	117	21	0	15	38	107	3	1	3	271	335	425	759	153	327	23	8	337	98	-1	-1	-3	-5	+10	0.0
2015	27	AAA MLE	2 teams	—	374	347	88	18	1	8	22	91	2	3	2	254	302	380	682	127	319	24	6	301	90	—	—	—	—	—	—
2015	27	AAA RAW	2 teams	—	374	336	96	20	1	10	33	78	2	3	2	286	353	440	794	155	343	21	9	351	90	—	—	—	—	—	—
2016	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	245	224	46	8	0	9	19	51	0	0	0	205	267	362	629	156	223	21	8	277	74	—	—	—	—	—	—
2016	28	AAA RAW	Scranton/Wilkes-Barre RailRiders	—	245	214	53	10	0	11	29	42	0	0	0	248	337	449	786	201	258	17	12	347	74	—	—	—	—	—	—
2017	29	AAA MLE	New Orleans Baby Cakes	—	200	178	28	7	0	5	20	70	0	0	1	157	242	281	523	124	219	35	10	234	45	—	—	—	—	—	—
2017	29	AAA RAW	New Orleans Baby Cakes	—	200	169	36	9	0	6	29	53	0	0	1	213	328	373	701	160	268	26	14	316	45	—	—	—	—	—	—
2019	31	AA MLE	Tulsa Drillers	—	328	292	51	7	1	13	31	116	1	0	0	175	256	339	595	164	228	35	9	266	66	—	—	—	—	—	—
2019	31	AA RAW	Tulsa Drillers	—	328	271	64	10	1	16	52	91	1	0	0	236	361	458	819	221	286	28	16	361	66	—	—	—	—	—	—
2006	18	ROK MLE	2 teams	—	206	186	35	5	3	6	18	80	0	3	5	188	260	344	604	156	274	39	9	258	61	—	—	—	—	—	—
2007	19	A MLE	Beloit Snappers	—	501	459	87	18	4	11	33	186	4	8	4	190	249	318	568	129	279	37	7	249	55	—	—	—	—	—	—
2008	20	A MLE	Beloit Snappers	—	289	246	45	8	3	11	36	113	5	3	1	183	304	374	678	191	257	39	12	296	86	—	—	—	—	—	—
2009	21	A+ MLE	Fort Myers Miracle	—	501	444	95	24	1	14	46	155	6	2	2	214	298	367	665	153	281	31	9	295	86	—	—	—	—	—	—
2010	22	AA MLE	3 teams	—	677	622	160	29	4	9	48	121	2	3	3	257	313	360	674	103	298	18	7	298	88	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	698	629	164	30	4	16	61	128	3	0	1	261	331	397	728	137	298	18	9	323	104	—	—	—	—	—	—
2012	24	AAA MLE	2 teams	—	492	441	118	27	3	21	43	111	5	1	1	268	339	485	825	218	311	23	9	362	131	—	—	—	—	—	—
2013	25	MLB MLE	2 teams	—	531	475	103	24	1	11	47	120	4	2	1	217	293	341	634	124	263	23	9	284	78	—	—	—	—	—	—
2014	26	MLB MLE	3 teams	—	475	439	112	19	0	15	30	109	3	1	3	255	307	401	708	146	303	23	6	314	98	—	—	—	—	—	—
2015	27	AAA MLE	2 teams	—	374	347	88	18	1	8	22	91	2	3	2	254	302	380	682	127	312	24	6	301	90	—	—	—	—	—	—
2016	28	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	245	224	46	8	0	9	19	51	0	0	0	205	267	362	629	156	217	21	8	277	74	—	—	—	—	—	—
2017	29	AAA MLE	New Orleans Baby Cakes	—	200	178	28	7	0	5	20	70	0	0	1	157	242	281	523	124	219	35	10	234	45	—	—	—	—	—	—
2019	31	AA MLE	Tulsa Drillers	—	328	293	51	7	1	13	31	116	1	0	0	174	256	338	594	164	226	35	9	266	66	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1003	909	223	47	3	28	79	236	10	1	5	245	313	396	709	151	300	24	8	316	86	+0	-2	-15	-39	+22	-3.4
/ 162G	—	A+C		—	650	589	144	30	2	18	51	153	6	1	3	244	311	394	705	149	299	24	8	316	86	+0	-1	-9	-25	+14	-2.2
Career	—	MLE		—	5517	4970	1132	224	25	149	454	1451	35	26	24	228	297	373	670	145	287	26	8	295	86	+0	-2	-15	-39	+22	-3.4
/ 162G	—	MLE		—	650	586	133	26	3	18	53	171	4	3	3	227	295	374	669	147	285	26	8	295	86	+0	-1	-9	-25	+14	-2.2

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 AATulsa Drillers · 328 PAwOBA .354 → .266 (−88)K% 27.7% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.74%	÷0.954	×1.220	—	—	35.49%
BB% (unintentional) /PA	15.24%	÷1.063	×0.700	—	×0.940	9.44%
HBP% /PA	0.30%	—	×0.870	—	×0.940	0.25%
Singles /BIP	20.56%	÷0.997	×0.920	×0.950	×0.940	16.93%
Doubles /BIP	5.56%	÷1.048	×0.840	×0.950	×0.940	3.98%
Triples /BIP	0.56%	÷0.925	×0.940	×0.950	×0.940	0.50%
Home runs /BIP	8.89%	÷0.909	×0.800	—	×0.940	7.35%

Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .354 → .266; ISO .221 → .179; BABIP .286 → .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).

2017 AAANew Orleans Baby Cakes · 200 PAwOBA .312 → .234 (−77)K% 26.5% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.50%	÷0.971	×1.290	—	—	35.20%
BB% (unintentional) /PA	14.50%	÷1.005	×0.710	—	×0.982	10.06%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	18.10%	÷1.015	×0.900	×0.950	×0.982	14.98%
Doubles /BIP	7.76%	÷0.918	×0.810	×0.950	×0.982	6.39%
Triples /BIP	0.00%	÷0.977	×0.810	×0.950	×0.982	0.00%
Home runs /BIP	5.17%	÷0.928	×0.780	—	×0.982	4.27%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 103, 2B 84, 3B 95, K 94, BB 101 — 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 ×0.950.

Result: wOBA .312 → .234; ISO .160 → .124; BABIP .268 → .219. 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 AAAScranton/Wilkes-Barre RailRiders · 245 PAwOBA .337 → .277 (−61)K% 17.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.14%	÷0.994	×1.200	—	—	20.69%
BB% (unintentional) /PA	11.02%	÷0.977	×0.690	—	×0.992	7.72%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	18.60%	÷0.991	×0.930	×0.950	×0.992	16.46%
Doubles /BIP	5.81%	÷1.059	×0.830	×0.950	×0.992	4.29%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.992	0.00%
Home runs /BIP	6.40%	÷0.996	×0.840	—	×0.992	5.35%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 98, 2B 112, 3B 80, K 99, BB 95 — 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 .337 → .277; ISO .201 → .167; BABIP .258 → .217. 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 AAANorfolk Tides · 272 PAwOBA .363 → .304 (−59)K% 19.1% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.12%	÷0.961	×1.200	—	—	23.87%
BB% (unintentional) /PA	9.93%	÷1.060	×0.690	—	×1.003	6.48%
HBP% /PA	0.37%	—	×0.940	—	×1.003	0.35%
Singles /BIP	29.95%	÷0.989	×0.930	×0.970	×1.003	27.40%
Doubles /BIP	6.95%	÷0.979	×0.830	×0.970	×1.003	5.74%
Triples /BIP	0.00%	÷1.150	×0.970	×0.970	×1.003	0.00%
Home runs /BIP	3.21%	÷1.097	×0.840	—	×1.003	2.46%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 98, 2B 96, 3B 130, K 92, BB 112 — 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 ×0.970.

Result: wOBA .363 → .304; ISO .130 → .104; BABIP .375 → .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).

2014 AAARochester Red Wings · 135 PAwOBA .395 → .322 (−73)K% 17.8% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.78%	÷1.002	×1.200	—	—	21.29%
BB% (unintentional) /PA	10.37%	÷1.125	×0.690	—	×1.018	6.47%
HBP% /PA	0.74%	—	×0.940	—	×1.018	0.71%
Singles /BIP	23.40%	÷1.010	×0.930	×0.955	×1.018	20.95%
Doubles /BIP	7.45%	÷1.059	×0.830	×0.955	×1.018	5.68%
Triples /BIP	0.00%	÷0.900	×0.970	×0.955	×1.018	0.00%
Home runs /BIP	7.45%	÷1.075	×0.840	—	×1.018	5.92%

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 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 ×0.955.

Result: wOBA .395 → .322; ISO .237 → .192; BABIP .326 → .277. 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 · 198 PAwOBA .302 → .256 (−46)K% 16.2% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.16%	÷0.987	×1.200	—	—	19.65%
BB% (unintentional) /PA	10.10%	÷1.026	×0.690	—	×1.033	7.02%
HBP% /PA	0.51%	—	×0.940	—	×1.033	0.49%
Singles /BIP	16.31%	÷1.040	×0.930	×0.950	×1.033	14.31%
Doubles /BIP	9.22%	÷0.977	×0.830	×0.950	×1.033	7.69%
Triples /BIP	0.71%	÷0.900	×0.970	×0.950	×1.033	0.75%
Home runs /BIP	2.13%	÷0.938	×0.840	—	×1.033	1.97%

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 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 ×0.950.

Result: wOBA .302 → .256; ISO .139 → .126; BABIP .264 → .229. 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).

2012 AAARochester Red Wings · 282 PAwOBA .457 → .411 (−46)K% 18.4% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.44%	÷1.051	×1.200	—	—	21.04%
BB% (unintentional) /PA	15.60%	÷1.023	×0.690	—	×1.048	11.03%
HBP% /PA	0.35%	—	×0.940	—	×1.048	0.35%
Singles /BIP	23.86%	÷1.052	×0.930	×0.953	×1.048	21.08%
Doubles /BIP	9.66%	÷0.913	×0.830	×0.953	×1.048	8.77%
Triples /BIP	0.57%	÷0.900	×0.970	×0.953	×1.048	0.61%
Home runs /BIP	9.66%	÷1.010	×0.840	—	×1.048	8.42%

Factors used: league row IL. Park (home-season share, regressed): HR 102, 1B 110, 2B 83, 3B 80, K 110, BB 105 — 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 ×0.953.

Result: wOBA .457 → .411; ISO .307 → .295; BABIP .373 → .329. 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).

2011 AANew Britain Rock Cats · 610 PAwOBA .350 → .304 (−47)K% 15.4% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.41%	÷0.999	×1.220	—	—	18.82%
BB% (unintentional) /PA	10.49%	÷0.945	×0.700	—	×1.027	7.98%
HBP% /PA	0.49%	—	×0.850	—	×1.027	0.43%
Singles /BIP	23.85%	÷1.028	×0.970	×0.950	×1.027	21.95%
Doubles /BIP	6.88%	÷1.057	×0.860	×0.950	×1.027	5.46%
Triples /BIP	1.15%	÷1.118	×0.950	×0.950	×1.027	0.95%
Home runs /BIP	2.98%	÷0.913	×0.780	—	×1.027	2.62%

Factors used: league row EL. Park (home-season share, regressed): HR 83, 1B 106, 2B 111, 3B 124, K 100, BB 89 — 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 ×0.950.

Result: wOBA .350 → .304; ISO .149 → .127; BABIP .322 → .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).

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