Brandon Guyer

PosLF

B/TR/R

Born1986-01-28

Age (2027)41

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	31	MLBCleveland Ind…	192	.236/.330/.327	2	2	89	-0.1
2018	32	AAACLE	37	.125/.243/.312	2	0	23	—	.094/.216/.188
2018	32	MLBCleveland Ind…	221	.206/.300/.371	7	1	91	-0.1
2019	33	AAA/INTL2 orgs	64	.214/.312/.321	0	0	48	—	.209/.306/.326
2020	34	No MLB games played
2021	35	No MLB games played
2022	36	No MLB games played
2023	37	No MLB games played
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2016-2018

Speed60

xwOBA53

Barrel%17

Avg EV11

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)
2007	21	ROK	AZL Cubs	—	81	72	16	4	1	1	5	16	4	6	2	222	309	347	656	125	273	20	6	300	19	—	—	—	—	—	—
2008	22	A	Peoria Chiefs	—	363	327	88	27	3	14	19	63	13	22	7	269	334	498	833	229	292	17	5	362	74	—	—	—	—	—	—
2009	23	AA	Tennessee Smokies	—	205	189	36	12	2	1	10	33	2	7	5	190	239	291	530	101	223	16	5	235	20	—	—	—	—	—	—
2009	23	A+	Daytona Cubs	—	305	265	92	16	3	2	24	34	8	23	2	347	418	453	870	106	380	11	8	382	111	—	—	—	—	—	—
2010	24	AA	Tennessee Smokies	—	410	369	127	39	6	13	27	51	7	30	3	344	400	588	988	244	371	12	7	423	117	—	—	—	—	—	—
2010	24	INTL	Tigres de Aragua	—	81	69	24	3	0	1	10	12	2	4	0	348	444	435	879	87	411	15	12	401	157	—	—	—	—	—	—
2011	25	MLB	Tampa Bay Rays	—	43	41	8	1	0	2	1	9	0	0	0	195	214	366	580	171	200	21	2	248	55	-2	+0	+3	-5	+1	-0.3
2011	25	AAA	Durham Bulls	—	443	388	121	29	5	14	35	79	12	16	6	312	386	521	907	209	360	18	8	392	128	—	—	—	—	—	—
2012	26	AAA	Durham Bulls	—	97	85	25	3	1	3	7	15	3	2	0	294	368	459	827	165	324	15	7	362	95	—	—	—	—	—	—
2013	27	AAA	Durham Bulls	—	405	356	107	23	6	7	29	62	14	22	3	301	376	458	834	157	346	15	7	367	90	—	—	—	—	—	—
2014	28	MLB	Tampa Bay Rays	—	294	259	69	15	1	3	16	52	11	6	1	266	336	367	702	100	322	18	5	312	96	-1	+1	+0	-3	+6	0.3
2014	28	AAA	Durham Bulls	—	26	20	8	2	2	0	6	4	0	0	0	400	538	700	1.238	300	500	15	23	523	204	—	—	—	—	—	—
2015	29	MLB	Tampa Bay Rays	—	385	332	88	21	2	8	25	61	24	10	4	265	360	413	772	148	303	16	6	347	121	+9	+0	-3	-4	+8	1.1
2016	30	MLB	Cleveland Indians	—	345	293	78	17	1	9	19	55	31	3	2	266	373	423	796	157	300	16	6	360	128	+12	-0	-1	-4	+7	1.4
2017	31	MLB	Cleveland Indians	—	192	165	39	7	1	2	15	43	8	2	0	236	330	327	657	91	303	22	8	299	89	-3	+0	-1	-2	+4	-0.1
2017	31	AAA	Columbus Clippers	—	20	15	4	0	0	1	2	4	3	0	0	267	450	467	917	200	300	20	10	420	112	—	—	—	—	—	—
2018	32	MLB	Cleveland Indians	—	221	194	40	11	0	7	15	48	11	1	1	206	300	371	671	165	237	22	7	304	91	-2	-0	-1	-3	+5	-0.1
2018	32	AAA	Columbus Clippers	—	37	32	4	0	0	2	1	4	4	0	0	125	243	312	556	188	77	11	3	260	23	—	—	—	—	—	—
2019	33	AAA	Charlotte Knights	—	49	41	10	3	1	0	5	10	3	0	0	244	367	366	733	122	323	20	10	339	67	—	—	—	—	—	—
2019	33	INTL	Criollos de Caguas	—	15	15	2	1	0	0	0	3	0	0	0	133	133	200	333	67	167	20	0	146	-15	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1480	1284	322	72	5	31	91	268	85	22	8	251	341	387	728	136	294	18	6	327	108	+14	+1	-2	-21	+32	2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	21	ROK MLE	AZL Cubs	—	81	74	12	3	1	1	3	23	4	6	2	162	235	270	505	108	200	28	4	197	19	—	—	—	—	—	—
2008	22	A MLE	Peoria Chiefs	—	363	333	70	20	2	11	13	86	13	22	7	210	267	381	649	171	244	24	4	278	74	—	—	—	—	—	—
2009	23	AA MLE	Tennessee Smokies	—	205	193	33	11	2	1	6	40	2	7	5	171	204	264	468	93	199	20	3	198	20	—	—	—	—	—	—
2009	23	A+ MLE	Daytona Cubs	—	305	272	82	15	2	2	17	48	8	23	2	301	360	393	754	92	336	16	6	332	111	—	—	—	—	—	—
2010	24	AA MLE	Tennessee Smokies	—	410	379	109	31	5	10	17	65	7	30	3	288	330	475	805	187	317	16	4	341	117	—	—	—	—	—	—
2011	25	MLB MLE	Tampa Bay Rays	—	43	41	8	1	0	2	1	9	0	0	0	195	214	366	580	171	200	21	2	249	55	-2	+0	+3	-5	+1	-0.3
2011	25	AAA MLE	Durham Bulls	—	443	397	118	26	5	13	26	90	12	16	6	297	359	486	845	189	345	20	6	358	128	—	—	—	—	—	—
2012	26	AAA MLE	Durham Bulls	—	97	87	22	2	1	2	5	18	3	2	0	253	316	368	684	115	291	19	5	309	95	—	—	—	—	—	—
2013	27	AAA MLE	Durham Bulls	—	405	367	95	18	6	5	18	75	14	22	3	259	318	381	700	123	304	19	4	301	90	—	—	—	—	—	—
2014	28	MLB MLE	Tampa Bay Rays	—	294	259	68	15	1	3	16	52	11	6	1	263	332	363	695	100	322	18	5	310	96	-1	+1	+0	-3	+6	0.3
2014	28	AAA MLE	Durham Bulls	—	26	22	8	2	2	0	4	4	0	0	0	364	462	636	1.098	273	464	15	15	470	204	—	—	—	—	—	—
2015	29	MLB MLE	Tampa Bay Rays	—	385	332	87	21	2	8	25	61	24	10	4	262	357	410	767	148	303	16	6	346	121	+9	+0	-3	-4	+8	1.1
2016	30	MLB MLE	Cleveland Indians	—	345	294	78	17	1	9	18	55	31	3	2	265	370	422	792	156	300	16	5	358	128	+12	-0	-1	-4	+7	1.4
2017	31	MLB MLE	Cleveland Indians	—	192	165	39	7	1	2	15	43	8	2	0	236	330	327	657	91	303	22	8	299	89	-3	+0	-1	-2	+4	-0.1
2017	31	AAA MLE	Columbus Clippers	—	20	16	4	0	0	1	1	5	3	0	0	250	400	438	838	188	274	25	5	334	112	—	—	—	—	—	—
2018	32	MLB MLE	Cleveland Indians	—	221	194	40	11	0	7	15	48	11	1	1	206	300	371	671	165	237	22	7	303	91	-2	-0	-1	-3	+5	-0.1
2018	32	AAA MLE	Columbus Clippers	—	37	32	3	0	0	1	1	5	4	0	0	94	216	188	404	94	68	14	3	202	23	—	—	—	—	—	—
2019	33	AAA MLE	Charlotte Knights	—	49	43	9	3	1	0	3	12	3	0	0	209	306	326	632	116	275	24	6	267	67	—	—	—	—	—	—
2007	21	ROK MLE	AZL Cubs	—	81	74	12	3	1	1	3	23	4	6	2	162	235	270	505	108	220	28	4	197	19	—	—	—	—	—	—
2007	21	ROK RAW	AZL Cubs	—	81	72	16	4	1	1	5	16	4	6	2	222	309	347	656	125	273	20	6	300	19	—	—	—	—	—	—
2008	22	A MLE	Peoria Chiefs	—	363	333	70	20	2	11	13	86	13	22	7	210	267	381	649	171	247	24	4	278	74	—	—	—	—	—	—
2008	22	A RAW	Peoria Chiefs	—	363	327	88	27	3	14	19	63	13	22	7	269	334	498	833	229	292	17	5	362	74	—	—	—	—	—	—
2009	23	A+ MLE	2 teams	—	510	465	115	26	4	3	23	88	10	30	7	247	297	340	637	92	292	17	5	278	74	—	—	—	—	—	—
2009	23	A+ RAW	2 teams	—	510	454	128	28	5	3	34	67	10	30	7	282	345	385	731	104	317	13	7	323	74	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	491	454	131	37	6	12	21	78	9	34	3	289	333	476	808	187	325	16	4	341	117	—	—	—	—	—	—
2010	24	AA RAW	2 teams	—	491	438	151	42	6	14	37	63	9	34	3	345	407	564	971	219	377	13	8	419	117	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	486	438	126	27	5	15	27	99	12	16	6	288	346	475	821	187	340	20	6	348	122	—	—	—	—	—	—
2011	25	AAA RAW	2 teams	—	486	429	129	30	5	16	36	88	12	16	6	301	371	506	877	205	346	18	7	379	122	—	—	—	—	—	—
2012	26	AAA MLE	Durham Bulls	—	97	87	22	2	1	2	5	18	3	2	0	253	316	368	684	115	294	19	5	309	95	—	—	—	—	—	—
2012	26	AAA RAW	Durham Bulls	—	97	85	25	3	1	3	7	15	3	2	0	294	368	459	827	165	324	15	7	362	95	—	—	—	—	—	—
2013	27	AAA MLE	Durham Bulls	—	405	367	95	18	6	5	18	75	14	22	3	259	318	381	700	123	311	19	4	301	90	—	—	—	—	—	—
2013	27	AAA RAW	Durham Bulls	—	405	356	107	23	6	7	29	62	14	22	3	301	376	458	834	157	346	15	7	367	90	—	—	—	—	—	—
2014	28	MLB MLE	2 teams	—	320	281	76	17	3	3	20	56	11	6	1	270	343	384	727	114	327	18	6	323	105	+2	+1	+0	-3	+7	0.7
2014	28	MLB RAW	2 teams	—	320	279	77	17	3	3	22	56	11	6	1	276	353	391	743	115	335	18	7	329	105	+2	+1	+0	-3	+7	0.7
2015	29	MLB MLE	Tampa Bay Rays	—	385	332	87	21	2	8	25	61	24	10	4	262	357	410	767	148	299	16	6	346	121	+9	+0	-3	-4	+8	1.1
2015	29	MLB RAW	Tampa Bay Rays	—	385	332	88	21	2	8	25	61	24	10	4	265	360	413	772	148	303	16	6	347	121	+9	+0	-3	-4	+8	1.1
2016	30	MLB MLE	Cleveland Indians	—	345	294	78	17	1	9	18	55	31	3	2	265	370	422	792	156	299	16	5	358	128	+12	-0	-1	-4	+7	1.4
2016	30	MLB RAW	Cleveland Indians	—	345	293	78	17	1	9	19	55	31	3	2	266	373	423	796	157	300	16	6	360	128	+12	-0	-1	-4	+7	1.4
2017	31	MLB MLE	2 teams	—	212	181	43	7	1	3	16	48	11	2	0	238	337	337	674	99	303	23	8	302	91	-2	+0	-1	-2	+5	-0.1
2017	31	MLB RAW	2 teams	—	212	180	43	7	1	3	17	47	11	2	0	239	341	339	680	100	303	22	8	310	91	-2	+0	-1	-2	+5	-0.1
2018	32	MLB MLE	2 teams	—	258	226	43	11	0	8	16	53	15	1	1	190	288	345	633	155	212	21	6	288	81	-6	-0	-1	-3	+6	-0.4
2018	32	MLB RAW	2 teams	—	258	226	44	11	0	9	16	52	15	1	1	195	292	363	655	168	212	20	6	298	81	-6	-0	-1	-3	+6	-0.4
2019	33	AAA MLE	2 teams	—	64	57	10	3	1	0	4	16	3	0	0	175	266	263	529	88	244	25	6	267	67	—	—	—	—	—	—
2019	33	AAA RAW	2 teams	—	64	56	12	4	1	0	5	13	3	0	0	214	312	321	634	107	279	20	8	293	67	—	—	—	—	—	—
2007	21	ROK MLE	AZL Cubs	—	81	74	12	3	1	1	3	23	4	6	2	162	235	270	505	108	200	28	4	197	19	—	—	—	—	—	—
2008	22	A MLE	Peoria Chiefs	—	363	334	70	20	2	11	13	86	13	22	7	210	267	380	648	171	244	24	4	278	74	—	—	—	—	—	—
2009	23	A+ MLE	2 teams	—	510	472	115	26	4	3	23	88	10	30	7	244	297	335	632	91	281	17	5	278	74	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	491	458	131	37	6	12	21	78	9	34	3	286	333	472	804	186	317	16	4	341	117	—	—	—	—	—	—
2011	25	AAA MLE	2 teams	—	486	444	126	27	5	15	27	99	12	16	6	284	346	468	814	185	332	20	6	348	122	—	—	—	—	—	—
2012	26	AAA MLE	Durham Bulls	—	97	89	22	2	1	2	5	18	3	2	0	247	316	360	675	112	291	19	5	309	95	—	—	—	—	—	—
2013	27	AAA MLE	Durham Bulls	—	405	370	95	18	6	5	18	75	14	22	3	257	318	378	697	122	304	19	4	301	90	—	—	—	—	—	—
2014	28	MLB MLE	2 teams	—	320	286	76	17	3	3	20	56	11	6	1	266	343	378	721	112	333	18	6	323	105	—	—	—	—	—	—
2015	29	MLB MLE	Tampa Bay Rays	—	385	333	87	21	2	8	25	61	24	10	4	261	357	408	765	147	303	16	6	346	121	—	—	—	—	—	—
2016	30	MLB MLE	Cleveland Indians	—	345	293	78	17	1	9	18	55	31	3	2	266	370	423	793	157	300	16	5	358	128	—	—	—	—	—	—
2017	31	MLB MLE	2 teams	—	212	183	43	7	1	3	16	48	11	2	0	235	337	333	670	98	301	23	8	302	91	—	—	—	—	—	—
2018	32	MLB MLE	2 teams	—	258	225	43	11	0	8	16	53	15	1	1	191	288	347	635	156	213	21	6	288	81	—	—	—	—	—	—
2019	33	AAA MLE	2 teams	—	64	57	10	3	1	0	4	16	3	0	0	175	266	263	529	88	275	25	6	267	67	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1480	1284	322	72	5	31	91	268	85	22	8	251	341	387	728	136	294	18	6	327	99	+14	+1	-2	-21	+32	2.4
/ 162G	—	A+C		—	650	564	142	32	2	14	40	118	37	10	4	252	342	390	732	138	295	18	6	327	99	+6	+1	-1	-9	+14	1.0
Career	—	MLE		—	4017	3589	908	209	33	80	209	756	160	154	36	253	323	396	719	143	298	19	5	315	99	+14	+1	-2	-21	+32	2.4
/ 162G	—	MLE		—	650	581	147	34	5	13	34	122	26	25	6	253	323	396	719	143	298	19	5	315	99	+6	+1	-1	-9	+14	1.0

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 AAACharlotte Knights · 49 PAwOBA .331 → .267 (−64)K% 20.4% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.41%	÷0.962	×1.200	—	—	25.47%
BB% (unintentional) /PA	10.20%	÷1.077	×0.690	—	×0.942	6.16%
HBP% /PA	6.12%	—	×0.940	—	×0.942	5.42%
Singles /BIP	19.35%	÷1.061	×0.930	—	×0.942	15.98%
Doubles /BIP	9.68%	÷0.921	×0.830	—	×0.942	8.21%
Triples /BIP	3.23%	÷0.900	×0.970	—	×0.942	3.28%
Home runs /BIP	0.00%	÷1.212	×0.840	—	×0.942	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — 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).

Result: wOBA .331 → .267; ISO .122 → .111; BABIP .323 → .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).

2018 AAAColumbus Clippers · 37 PAwOBA .253 → .202 (−50)K% 10.8% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.81%	÷1.017	×1.200	—	—	12.76%
BB% (unintentional) /PA	2.70%	÷0.972	×0.690	—	×0.952	1.83%
HBP% /PA	10.81%	—	×0.940	—	×0.952	9.67%
Singles /BIP	7.14%	÷0.974	×0.930	—	×0.952	6.49%
Doubles /BIP	0.00%	÷0.958	×0.830	—	×0.952	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.952	0.00%
Home runs /BIP	7.14%	÷1.135	×0.840	—	×0.952	5.03%

Factors used: league row IL. Park (home-season share, regressed): HR 127, 1B 95, 2B 92, 3B 80, K 103, BB 94 — 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 .253 → .202; ISO .188 → .132; BABIP .077 → .068. 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 AAAColumbus Clippers · 20 PAwOBA .410 → .334 (−75)K% 20.0% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.989	×1.200	—	—	24.27%
BB% (unintentional) /PA	10.00%	÷1.089	×0.690	—	×0.962	6.10%
HBP% /PA	15.00%	—	×0.940	—	×0.962	13.56%
Singles /BIP	27.27%	÷0.945	×0.930	—	×0.962	25.81%
Doubles /BIP	0.00%	÷1.018	×0.830	—	×0.962	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.962	0.00%
Home runs /BIP	9.09%	÷1.231	×0.840	—	×0.962	5.97%

Factors used: league row IL. Park (home-season share, regressed): HR 146, 1B 89, 2B 104, 3B 80, K 98, BB 118 — 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).

Result: wOBA .410 → .334; ISO .200 → .134; BABIP .300 → .274. 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 AAADurham Bulls · 26 PAwOBA .511 → .470 (−41)K% 15.4% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷1.070	×1.200	—	—	17.26%
BB% (unintentional) /PA	23.08%	÷0.950	×0.690	—	×0.992	16.62%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	25.00%	÷1.005	×0.930	—	×0.992	22.96%
Doubles /BIP	12.50%	÷1.023	×0.830	—	×0.992	10.06%
Triples /BIP	12.50%	÷0.900	×0.970	—	×0.992	13.36%
Home runs /BIP	0.00%	÷1.046	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 109, 1B 101, 2B 105, 3B 80, K 114, BB 90 — 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).

Result: wOBA .511 → .470; ISO .300 → .316; BABIP .500 → .464. 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 AAADurham Bulls · 405 PAwOBA .358 → .301 (−57)K% 15.3% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.31%	÷0.988	×1.200	—	—	18.60%
BB% (unintentional) /PA	6.91%	÷1.093	×0.690	—	×1.003	4.38%
HBP% /PA	3.46%	—	×0.940	—	×1.003	3.26%
Singles /BIP	24.15%	÷1.032	×0.930	×1.014	×1.003	22.12%
Doubles /BIP	7.82%	÷1.113	×0.830	×1.014	×1.003	5.93%
Triples /BIP	2.04%	÷0.961	×0.970	×1.014	×1.003	2.09%
Home runs /BIP	2.38%	÷1.299	×0.840	—	×1.003	1.54%

Factors used: league row IL. Park (home-season share, regressed): HR 160, 1B 106, 2B 123, 3B 92, K 98, BB 119 — 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 ×1.014.

Result: wOBA .358 → .301; ISO .157 → .124; BABIP .346 → .304. 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 AAADurham Bulls · 97 PAwOBA .356 → .309 (−46)K% 15.5% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.46%	÷1.008	×1.200	—	—	18.40%
BB% (unintentional) /PA	7.22%	÷1.046	×0.690	—	×1.018	4.84%
HBP% /PA	3.09%	—	×0.940	—	×1.018	2.96%
Singles /BIP	25.71%	÷0.987	×0.930	×0.957	×1.018	23.60%
Doubles /BIP	4.29%	÷0.998	×0.830	×0.957	×1.018	3.47%
Triples /BIP	1.43%	÷0.942	×0.970	×0.957	×1.018	1.43%
Home runs /BIP	4.29%	÷1.093	×0.840	—	×1.018	3.35%

Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 97, 2B 100, 3B 88, K 102, BB 109 — 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 ×0.957.

Result: wOBA .356 → .309; ISO .165 → .138; BABIP .324 → .291. 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 AAADurham Bulls · 443 PAwOBA .383 → .358 (−25)K% 17.8% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.83%	÷1.051	×1.200	—	—	20.35%
BB% (unintentional) /PA	7.67%	÷0.938	×0.690	—	×1.033	5.83%
HBP% /PA	2.71%	—	×0.940	—	×1.033	2.63%
Singles /BIP	23.62%	÷0.969	×0.930	×1.006	×1.033	23.56%
Doubles /BIP	9.39%	÷0.994	×0.830	×1.006	×1.033	8.15%
Triples /BIP	1.62%	÷1.017	×0.970	×1.006	×1.033	1.60%
Home runs /BIP	4.53%	÷0.960	×0.840	—	×1.033	4.09%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 94, 2B 99, 3B 103, K 110, BB 88 — 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 ×1.006.

Result: wOBA .383 → .358; ISO .209 → .192; BABIP .360 → .345. 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).

2010 AATennessee Smokies · 410 PAwOBA .412 → .341 (−71)K% 12.4% → 15.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.44%	÷0.960	×1.220	—	—	15.81%
BB% (unintentional) /PA	6.34%	÷1.048	×0.680	—	×1.012	4.16%
HBP% /PA	1.71%	—	×0.840	—	×1.012	1.45%
Singles /BIP	21.70%	÷0.988	×0.920	×0.960	×1.012	19.63%
Doubles /BIP	12.26%	÷1.126	×0.910	×0.960	×1.012	9.62%
Triples /BIP	1.89%	÷1.006	×0.880	×0.960	×1.012	1.60%
Home runs /BIP	4.09%	÷1.049	×0.800	—	×1.012	3.16%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 98, 2B 125, 3B 101, K 92, BB 110 — 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 ×0.960.

Result: wOBA .412 → .341; ISO .244 → .195; BABIP .371 → .317. 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 — .