Tim Beckham

PosSS

B/TR/R

Born1990-01-27

Age (2027)37

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	29	INTLEstrellas Ori…	47	.295/.340/.364	0	0	101	—
2019	29	MLBSEA	328	.237/.293/.461	15	1	113	0.6
2021	31	AAACWS	182	.279/.335/.545	11	1	70	—	.218/.257/.371
2022	32	AAAMIN	143	.413/.483/.579	5	2	140	—	.344/.399/.466
2022	32	MLBMIN	25	.080/.080/.080	0	0	-65	-0.7
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR -0.1

Contract

No contract data on file.

Skills · percentileStatcast 2018-2022

Barrel%39

Speed37

xwOBA35

Avg EV26

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)
2008	18	ROK	Princeton Devil Rays	—	197	177	43	12	0	2	13	43	2	5	1	243	302	345	647	102	304	22	7	286	36	—	—	—	—	—	—
2009	19	A	Bowling Green Hot Rods	—	537	491	135	33	4	5	34	116	7	13	10	275	331	389	720	114	347	22	6	321	69	—	—	—	—	—	—
2010	20	A+	Charlotte Stone Crabs	—	542	465	119	23	5	5	62	119	4	22	14	256	348	359	708	103	330	22	11	317	70	—	—	—	—	—	—
2011	21	AAA	Durham Bulls	—	111	106	27	3	2	5	3	29	1	2	1	255	282	462	744	208	306	26	3	322	81	—	—	—	—	—	—
2011	21	AA	Montgomery Biscuits	—	468	418	115	25	2	7	39	91	3	15	4	275	341	395	736	120	334	19	8	326	91	—	—	—	—	—	—
2011	21	INTL	Surprise Saguaros	—	107	90	22	6	2	4	15	25	2	3	2	244	364	489	853	244	295	23	14	376	141	—	—	—	—	—	—
2012	22	AAA	Durham Bulls	—	323	285	73	10	1	6	29	71	2	6	0	256	329	361	691	105	316	22	9	307	75	—	—	—	—	—	—
2012	22	INTL	Phoenix Desert Dogs	—	85	78	19	2	2	1	5	13	0	3	2	244	289	359	648	115	273	15	6	283	78	—	—	—	—	—	—
2013	23	AAA	Durham Bulls	—	522	460	127	25	7	4	44	108	5	17	7	276	346	387	733	111	348	21	8	323	78	—	—	—	—	—	—
2014	24	AAA	Durham Bulls	—	65	62	16	2	0	0	2	14	0	0	2	258	281	290	572	32	333	22	3	256	47	—	—	—	—	—	—
2014	24	ROK	GCL Rays	—	25	21	10	2	1	1	3	4	0	1	0	476	542	810	1.351	333	529	16	12	551	164	—	—	—	—	—	—
2015	25	MLB	Tampa Bay Rays	—	223	203	45	7	4	9	13	69	3	3	1	222	279	429	707	207	279	31	6	305	93	-2	+0	-3	+3	+5	0.3
2015	25	AAA	Durham Bulls	—	45	39	12	6	0	0	5	10	0	2	1	308	386	462	848	154	400	22	11	369	95	—	—	—	—	—	—
2016	26	MLB	Tampa Bay Rays	—	215	198	49	12	5	5	14	67	1	2	1	247	300	434	735	187	349	31	7	320	102	+1	+0	-1	+3	+5	0.7
2016	26	AAA	Durham Bulls	—	20	19	3	0	0	0	1	7	0	0	1	158	200	158	358		250	35	5	171	-22	—	—	—	—	—	—
2017	27	MLB	Baltimore Orioles	—	575	533	148	18	5	22	36	167	4	6	5	278	328	454	782	176	365	29	6	345	114	+9	-1	+1	+6	+12	2.9
2018	28	MLB	Baltimore Orioles	—	402	369	85	17	0	12	27	100	3	1	2	230	288	374	662	144	282	25	7	295	81	-9	-1	-5	+4	+9	-0.1
2018	28	AAA	Norfolk Tides	—	16	15	2	1	0	0	1	5	0	0	0	133	188	200	388	67	200	31	6	180	-23	—	—	—	—	—	—
2019	29	MLB	Seattle Mariners	—	328	304	72	21	1	15	21	102	3	1	3	237	293	461	753	224	305	31	6	330	113	+5	-1	-9	+4	+7	0.6
2019	29	INTL	Estrellas Orientales	—	47	44	13	1	1	0	3	8	0	0	0	295	340	364	704	68	361	17	6	318	101	—	—	—	—	—	—
2021	31	AAA	Charlotte Knights	—	182	165	46	11	0	11	14	44	0	1	0	279	335	545	881	267	310	24	8	376	70	—	—	—	—	—	—
2022	32	MLB	Minnesota Twins	—	25	25	2	0	0	0	0	9	0	0	0	80	80	80	160		125	36	0	72	-65	-5	+0	-1	-2	+1	-0.7
2022	32	AAA	St. Paul Saints	—	143	126	52	6	0	5	14	31	3	2	1	413	483	579	1.062	167	522	22	10	470	140	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1768	1632	401	75	15	63	111	514	14	13	12	246	299	426	725	180	318	29	6	319	102	+4	-2	-17	+18	+38	4.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	18	ROK MLE	Princeton Devil Rays	—	197	182	36	9	0	2	8	61	2	5	1	198	240	280	520	82	263	31	4	221	36	—	—	—	—	—	—
2009	19	A MLE	Bowling Green Hot Rods	—	537	501	121	27	4	4	24	155	7	13	10	242	286	335	621	94	331	29	4	270	69	—	—	—	—	—	—
2010	20	A+ MLE	Charlotte Stone Crabs	—	542	479	111	20	4	3	48	173	4	22	14	232	307	309	616	77	338	32	9	272	70	—	—	—	—	—	—
2011	21	AAA MLE	Durham Bulls	—	111	107	26	3	2	4	2	33	1	2	1	243	264	421	684	178	299	30	2	288	81	—	—	—	—	—	—
2011	21	AA MLE	Montgomery Biscuits	—	468	428	115	28	2	6	29	107	3	15	4	269	320	386	705	117	333	23	6	303	91	—	—	—	—	—	—
2012	22	AAA MLE	Durham Bulls	—	323	295	73	9	1	5	19	85	2	6	0	247	297	336	633	88	315	26	6	279	75	—	—	—	—	—	—
2013	23	AAA MLE	Durham Bulls	—	522	475	123	21	8	3	29	131	5	17	7	259	308	356	664	97	332	25	6	284	78	—	—	—	—	—	—
2014	24	AAA MLE	Durham Bulls	—	65	63	16	2	0	0	1	16	0	0	2	254	266	286	551	32	329	25	2	238	47	—	—	—	—	—	—
2014	24	ROK MLE	GCL Rays	—	25	22	8	1	1	1	2	6	0	1	0	364	417	636	1.053	273	392	24	8	411	164	—	—	—	—	—	—
2015	25	MLB MLE	Tampa Bay Rays	—	223	203	45	7	4	9	13	69	3	3	1	222	279	429	707	207	279	31	6	305	93	-2	+0	-3	+3	+5	0.3
2015	25	AAA MLE	Durham Bulls	—	45	41	11	5	0	0	3	12	0	2	1	268	318	390	708	122	349	27	7	308	95	—	—	—	—	—	—
2016	26	MLB MLE	Tampa Bay Rays	—	215	198	48	12	5	5	14	67	1	2	1	242	296	429	725	187	349	31	7	319	102	+1	+0	-1	+3	+5	0.7
2016	26	AAA MLE	Durham Bulls	—	20	19	3	0	0	0	1	8	0	0	1	158	200	158	358		234	40	5	135	-22	—	—	—	—	—	—
2017	27	MLB MLE	Baltimore Orioles	—	575	533	145	18	5	20	36	167	4	6	5	272	323	437	760	165	365	29	6	336	114	+9	-1	+1	+6	+12	2.9
2018	28	MLB MLE	Baltimore Orioles	—	402	369	83	17	0	11	27	100	3	1	2	225	283	360	644	136	282	25	7	289	81	-9	-1	-5	+4	+9	-0.1
2018	28	AAA MLE	Norfolk Tides	—	16	15	2	1	0	0	1	6	0	0	0	133	188	200	388	67	171	38	6	134	-23	—	—	—	—	—	—
2019	29	MLB MLE	Seattle Mariners	—	328	304	72	21	1	15	21	102	3	1	3	237	293	461	753	224	305	31	6	335	113	+5	-1	-9	+4	+7	0.6
2021	31	AAA MLE	Charlotte Knights	—	182	170	37	8	0	6	9	52	0	1	0	218	257	371	628	153	262	29	5	272	70	—	—	—	—	—	—
2022	32	MLB MLE	Minnesota Twins	—	25	25	2	0	0	0	0	9	0	0	0	80	80	80	160		125	36	0	72	-65	-5	+0	-1	-2	+1	-0.7
2022	32	AAA MLE	St. Paul Saints	—	143	131	45	4	0	4	9	38	3	2	1	344	399	466	864	122	462	27	6	375	140	—	—	—	—	—	—
2008	18	ROK MLE	Princeton Devil Rays	—	197	182	36	9	0	2	8	61	2	5	1	198	240	280	520	82	279	31	4	221	36	—	—	—	—	—	—
2008	18	ROK RAW	Princeton Devil Rays	—	197	177	43	12	0	2	13	43	2	5	1	243	302	345	647	102	304	22	7	286	36	—	—	—	—	—	—
2009	19	A MLE	Bowling Green Hot Rods	—	537	501	121	27	4	4	24	155	7	13	10	242	286	335	621	94	337	29	4	270	69	—	—	—	—	—	—
2009	19	A RAW	Bowling Green Hot Rods	—	537	491	135	33	4	5	34	116	7	13	10	275	331	389	720	114	347	22	6	321	69	—	—	—	—	—	—
2010	20	A+ MLE	Charlotte Stone Crabs	—	542	479	111	20	4	3	48	173	4	22	14	232	307	309	616	77	352	32	9	272	70	—	—	—	—	—	—
2010	20	A+ RAW	Charlotte Stone Crabs	—	542	465	119	23	5	5	62	119	4	22	14	256	348	359	708	103	330	22	11	317	70	—	—	—	—	—	—
2011	21	AA MLE	3 teams	—	686	634	166	36	5	12	37	166	6	20	7	262	309	391	700	129	336	24	5	300	89	—	—	—	—	—	—
2011	21	AA RAW	3 teams	—	686	614	164	34	6	16	57	145	6	20	7	267	335	420	755	153	325	21	8	333	89	—	—	—	—	—	—
2012	22	AAA MLE	2 teams	—	408	373	92	12	1	6	24	107	2	9	2	247	296	332	628	86	323	26	6	279	75	—	—	—	—	—	—
2012	22	AAA RAW	2 teams	—	408	363	92	12	3	7	34	84	2	9	2	253	321	361	682	107	306	21	8	302	75	—	—	—	—	—	—
2013	23	AAA MLE	Durham Bulls	—	522	475	123	21	8	3	29	131	5	17	7	259	308	356	664	97	347	25	6	284	78	—	—	—	—	—	—
2013	23	AAA RAW	Durham Bulls	—	522	460	127	25	7	4	44	108	5	17	7	276	346	387	733	111	348	21	8	323	78	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	90	85	24	3	1	1	3	21	0	1	2	282	307	376	683	94	359	23	3	286	80	—	—	—	—	—	—
2014	24	AAA RAW	2 teams	—	90	83	26	4	1	1	5	18	0	1	2	313	352	422	774	108	385	20	6	338	80	—	—	—	—	—	—
2015	25	MLB MLE	2 teams	—	268	244	55	12	4	9	16	81	3	5	2	225	281	418	699	193	289	30	6	306	93	-2	+0	-3	+3	+6	0.4
2015	25	MLB RAW	2 teams	—	268	242	57	13	4	9	18	79	3	5	2	236	297	434	730	198	302	29	7	316	93	-2	+0	-3	+3	+6	0.4
2016	26	MLB MLE	2 teams	—	235	217	51	12	5	5	15	75	1	2	2	235	288	406	693	171	336	32	6	303	91	-2	-0	-1	+3	+5	0.4
2016	26	MLB RAW	2 teams	—	235	217	52	12	5	5	15	74	1	2	2	240	292	410	702	171	341	31	6	307	91	-2	-0	-1	+3	+5	0.4
2017	27	MLB MLE	Baltimore Orioles	—	575	533	145	18	5	20	36	167	4	6	5	272	323	437	760	165	360	29	6	336	114	+9	-1	+1	+6	+12	2.9
2017	27	MLB RAW	Baltimore Orioles	—	575	533	148	18	5	22	36	167	4	6	5	278	328	454	782	176	365	29	6	345	114	+9	-1	+1	+6	+12	2.9
2018	28	MLB MLE	2 teams	—	418	384	85	18	0	11	28	106	3	1	2	221	280	354	634	133	275	25	7	283	77	-11	-1	-5	+4	+9	-0.3
2018	28	MLB RAW	2 teams	—	418	384	87	18	0	12	28	105	3	1	2	227	284	367	652	141	279	25	7	290	77	-11	-1	-5	+4	+9	-0.3
2019	29	MLB MLE	2 teams	—	375	348	83	24	1	18	24	117	3	1	3	239	293	468	762	230	305	31	6	335	113	+6	-1	-9	+4	+8	0.8
2019	29	MLB RAW	2 teams	—	375	348	85	22	2	15	24	110	3	1	3	244	299	448	747	204	314	29	6	329	113	+6	-1	-9	+4	+8	0.8
2021	31	AAA MLE	Charlotte Knights	—	182	170	37	8	0	6	9	52	0	1	0	218	257	371	628	153	270	29	5	272	70	—	—	—	—	—	—
2021	31	AAA RAW	Charlotte Knights	—	182	165	46	11	0	11	14	44	0	1	0	279	335	545	881	267	310	24	8	376	70	—	—	—	—	—	—
2022	32	AAA MLE	2 teams	—	168	156	47	4	0	4	9	47	3	2	1	301	351	404	755	103	410	28	5	330	109	—	—	—	—	—	—
2022	32	AAA RAW	2 teams	—	168	151	54	6	0	5	14	40	3	2	1	358	423	497	919	139	462	24	8	411	109	—	—	—	—	—	—
2008	18	ROK MLE	Princeton Devil Rays	—	197	185	36	9	0	2	8	61	2	5	1	195	240	276	515	81	263	31	4	221	36	—	—	—	—	—	—
2009	19	A MLE	Bowling Green Hot Rods	—	537	501	121	27	4	4	24	155	7	13	10	242	286	335	621	94	331	29	4	270	69	—	—	—	—	—	—
2010	20	A+ MLE	Charlotte Stone Crabs	—	542	485	111	20	4	3	48	173	4	22	14	229	307	305	612	76	338	32	9	272	70	—	—	—	—	—	—
2011	21	AA MLE	3 teams	—	686	638	166	36	5	12	37	166	6	20	7	260	309	389	697	129	326	24	5	300	89	—	—	—	—	—	—
2012	22	AAA MLE	2 teams	—	408	379	92	12	1	6	24	107	2	9	2	243	296	327	623	84	315	26	6	279	75	—	—	—	—	—	—
2013	23	AAA MLE	Durham Bulls	—	522	483	123	21	8	3	29	131	5	17	7	255	308	350	658	95	332	25	6	284	78	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	90	87	24	3	1	1	3	21	0	1	2	276	307	368	675	92	347	23	3	286	80	—	—	—	—	—	—
2015	25	MLB MLE	2 teams	—	268	247	55	12	4	9	16	81	3	5	2	223	281	413	694	190	291	30	6	306	93	—	—	—	—	—	—
2016	26	MLB MLE	2 teams	—	235	217	51	12	5	5	15	75	1	2	2	235	288	406	693	171	339	32	6	303	91	—	—	—	—	—	—
2017	27	MLB MLE	Baltimore Orioles	—	575	530	145	18	5	20	36	167	4	6	5	274	323	440	762	166	365	29	6	336	114	—	—	—	—	—	—
2018	28	MLB MLE	2 teams	—	418	384	85	18	0	11	28	106	3	1	2	221	280	354	634	133	278	25	7	283	77	—	—	—	—	—	—
2019	29	MLB MLE	2 teams	—	375	345	83	24	1	18	24	117	3	1	3	241	293	472	766	232	305	31	6	335	113	—	—	—	—	—	—
2021	31	AAA MLE	Charlotte Knights	—	182	171	37	8	0	6	9	52	0	1	0	216	257	368	625	152	262	29	5	272	70	—	—	—	—	—	—
2022	32	AAA MLE	2 teams	—	168	154	47	4	0	4	9	47	3	2	1	305	351	409	760	104	412	28	5	330	109	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1768	1632	401	75	15	63	111	514	14	13	12	246	299	426	725	180	318	29	6	319	84	+4	-2	-17	+18	+38	4.2
/ 162G	—	A+C		—	650	600	148	28	6	23	41	189	5	5	4	247	300	428	729	182	320	29	6	319	84	+2	-1	-6	+7	+14	1.5
Career	—	MLE		—	5203	4781	1176	224	38	104	310	1459	43	105	58	246	298	374	672	128	329	28	6	293	84	+4	-2	-17	+18	+38	4.2
/ 162G	—	MLE		—	650	597	147	28	5	13	39	182	5	13	7	246	298	375	673	129	329	28	6	293	84	+2	-1	-6	+7	+14	1.5

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 AAASt. Paul Saints · 143 PAwOBA .457 → .375 (−82)K% 21.7% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.68%	÷0.981	×1.200	—	—	26.51%
BB% (unintentional) /PA	9.79%	÷1.012	×0.690	—	×0.952	6.36%
HBP% /PA	2.10%	—	×0.940	—	×0.952	1.88%
Singles /BIP	43.16%	÷1.000	×0.930	×1.035	×0.952	39.54%
Doubles /BIP	6.32%	÷1.079	×0.830	×1.035	×0.952	4.79%
Triples /BIP	0.00%	÷1.150	×0.970	×1.035	×0.952	0.00%
Home runs /BIP	5.26%	÷0.881	×0.700	—	×0.952	3.98%

Factors used: league row International League. Park (home-season share, regressed): HR 76, 1B 100, 2B 116, 3B 130, K 96, BB 102 — 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 ×1.035.

Result: wOBA .457 → .375; ISO .167 → .124; BABIP .522 → .462. 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 AAACharlotte Knights · 182 PAwOBA .372 → .272 (−100)K% 24.2% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.18%	÷1.011	×1.200	—	—	28.70%
BB% (unintentional) /PA	7.69%	÷1.053	×0.690	—	×0.962	4.85%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	19.83%	÷0.986	×0.930	×1.044	×0.962	18.79%
Doubles /BIP	9.09%	÷1.128	×0.830	×1.044	×0.962	6.72%
Triples /BIP	0.00%	÷1.020	×0.920	×1.044	×0.962	0.00%
Home runs /BIP	9.09%	÷1.190	×0.700	—	×0.962	5.14%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — 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 ×1.044.

Result: wOBA .372 → .272; ISO .267 → .162; BABIP .310 → .262. 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 AAANorfolk Tides · 16 PAwOBA .176 → .134 (−42)K% 31.2% → 37.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.009	×1.200	—	—	37.16%
BB% (unintentional) /PA	6.25%	÷0.997	×0.690	—	×0.992	4.29%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	10.00%	÷0.984	×0.930	—	×0.992	9.38%
Doubles /BIP	10.00%	÷1.063	×0.830	—	×0.992	7.75%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.992	0.00%
Home runs /BIP	0.00%	÷0.964	×0.840	—	×0.992	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 97, 2B 113, 3B 130, K 102, BB 99 — 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 .176 → .134; ISO .067 → .048; BABIP .200 → .171. 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 AAADurham Bulls · 20 PAwOBA .167 → .135 (−32)K% 35.0% → 42.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.00%	÷0.994	×1.200	—	—	42.26%
BB% (unintentional) /PA	5.00%	÷1.082	×0.690	—	×1.018	3.25%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	25.00%	÷1.010	×0.930	—	×1.018	23.42%
Doubles /BIP	0.00%	÷1.093	×0.830	—	×1.018	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.018	0.00%
Home runs /BIP	0.00%	÷1.167	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 119, 3B 80, K 99, BB 116 — 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).

Result: wOBA .167 → .135; ISO .000 → .000; BABIP .250 → .234. 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 AAADurham Bulls · 45 PAwOBA .368 → .308 (−60)K% 22.2% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.025	×1.200	—	—	26.01%
BB% (unintentional) /PA	11.11%	÷1.148	×0.690	—	×1.033	6.90%
HBP% /PA	0.00%	—	×0.940	—	×1.033	0.00%
Singles /BIP	20.69%	÷1.025	×0.930	—	×1.033	19.40%
Doubles /BIP	20.69%	÷1.062	×0.830	—	×1.033	16.71%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.033	0.00%
Home runs /BIP	0.00%	÷1.039	×0.840	—	×1.033	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 105, 2B 112, 3B 80, K 105, BB 130 — 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).

Result: wOBA .368 → .308; ISO .154 → .129; BABIP .400 → .349. 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 · 65 PAwOBA .242 → .238 (−4)K% 21.5% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.54%	÷1.070	×1.200	—	—	24.17%
BB% (unintentional) /PA	1.54%	÷0.950	×0.690	—	×1.048	1.17%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	29.17%	÷1.005	×0.930	×1.032	×1.048	29.22%
Doubles /BIP	4.17%	÷1.023	×0.830	×1.032	×1.048	3.66%
Triples /BIP	0.00%	÷0.900	×0.970	×1.032	×1.048	0.00%
Home runs /BIP	0.00%	÷1.046	×0.840	—	×1.048	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 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 ×1.032.

Result: wOBA .242 → .238; ISO .032 → .029; BABIP .333 → .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).

2014 ROKGCL Rays · 25 PAwOBA .559 → .411 (−147)K% 16.0% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.000	×1.440	—	—	23.04%
BB% (unintentional) /PA	12.00%	÷1.000	×0.620	—	×0.955	7.11%
HBP% /PA	0.00%	—	×0.720	—	×0.955	0.00%
Singles /BIP	35.29%	÷1.000	×0.820	—	×0.955	27.64%
Doubles /BIP	11.76%	÷1.000	×0.720	—	×0.955	8.09%
Triples /BIP	5.88%	÷1.000	×0.720	—	×0.955	4.04%
Home runs /BIP	5.88%	÷1.000	×0.780	—	×0.955	4.38%

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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .559 → .411; ISO .333 → .244; BABIP .529 → .392. 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 · 522 PAwOBA .318 → .284 (−33)K% 20.7% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷0.988	×1.200	—	—	25.13%
BB% (unintentional) /PA	8.43%	÷1.093	×0.690	—	×1.050	5.59%
HBP% /PA	0.96%	—	×0.940	—	×1.050	0.95%
Singles /BIP	25.85%	÷1.032	×0.930	×1.040	×1.050	25.42%
Doubles /BIP	7.10%	÷1.113	×0.830	×1.040	×1.050	5.78%
Triples /BIP	1.99%	÷0.961	×0.970	×1.040	×1.050	2.19%
Home runs /BIP	1.14%	÷1.299	×0.840	—	×1.050	0.77%

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 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .318 → .284; ISO .111 → .097; BABIP .348 → .332. 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 — .