Gordon Beckham

Pos2B

B/TR/R

Born1986-09-16

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	30	AAASEA	355	.262/.314/.393	9	3	51	—	.209/.249/.307
2017	30	MLBSEA	18	.176/.222/.176	0	1	15	0.3
2018	31	AAASEA	425	.302/.405/.458	10	6	94	—	.247/.319/.371
2018	31	MLBSEA	50	.182/.250/.205	0	1	28	0.1
2019	32	MLBDET	240	.215/.271/.372	6	3	84	-0.3
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 2017-2019

Barrel%48

Speed30

xwOBA18

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)
2008	21	A	Kannapolis Intimidators	—	63	58	18	2	0	3	5	7	0	0	1	310	365	500	865	190	312	11	8	382	96	—	—	—	—	—	—
2009	22	MLB	Chicago White Sox	—	430	378	102	28	1	14	41	65	6	7	4	270	351	460	811	190	290	15	10	356	127	+14	-0	+2	+2	+9	2.7
2009	22	AAA	Charlotte Knights	—	30	28	13	6	0	0	0	2	0	1	0	464	464	679	1.143	214	481	7	0	468	196	—	—	—	—	—	—
2009	22	AA	Birmingham Barons	—	166	147	44	17	0	4	14	24	2	1	0	299	368	497	865	197	333	14	8	375	103	—	—	—	—	—	—
2010	23	MLB	Chicago White Sox	—	498	444	112	25	2	9	37	92	7	4	6	252	320	378	698	126	297	18	7	309	94	-3	-2	+1	+2	+11	0.8
2011	24	MLB	Chicago White Sox	—	557	499	115	23	0	10	35	111	13	5	3	230	298	337	635	106	276	20	6	285	78	-15	-0	+5	+2	+12	0.4
2012	25	MLB	Chicago White Sox	—	582	525	123	24	0	16	40	89	7	5	4	234	297	371	669	137	254	15	7	296	85	-10	-1	+5	+2	+13	0.9
2013	26	MLB	Chicago White Sox	—	408	371	99	22	1	5	28	56	4	5	1	267	325	372	697	105	299	14	7	311	94	-3	+1	+2	+2	+9	1.0
2013	26	AAA	Charlotte Knights	—	38	36	12	2	0	0	2	6	0	0	0	333	368	389	757	56	400	16	5	342	84	—	—	—	—	—	—
2014	27	MLB	Los Angeles Angels	—	483	446	101	27	0	9	22	81	7	3	0	226	274	348	621	121	255	17	5	275	72	-16	+1	-1	+2	+10	-0.4
2014	27	AA	Birmingham Barons	—	47	43	7	2	0	1	4	6	0	1	0	163	234	279	513	116	167	13	9	235	9	—	—	—	—	—	—
2015	28	MLB	Chicago White Sox	—	237	211	44	8	0	6	19	43	2	0	1	209	280	332	612	123	229	18	8	273	68	-9	-0	+6	+1	+5	0.3
2016	29	MLB	San Francisco Giants	—	279	245	52	16	1	5	26	52	4	1	0	212	298	347	645	135	245	19	9	290	83	-6	+0	+0	+1	+6	0.2
2017	30	MLB	Seattle Mariners	—	18	17	3	0	0	0	1	2	0	1	0	176	222	176	399		200	11	6	190	15	-2	+0	+0	+4	+0	0.3
2017	30	AAA	Tacoma Rainiers	—	355	328	86	16	0	9	20	58	5	3	2	262	314	393	708	131	293	16	6	316	51	—	—	—	—	—	—
2018	31	MLB	Seattle Mariners	—	50	44	8	1	0	0	4	11	0	1	0	182	250	205	455	23	242	22	8	208	28	-4	+0	+2	+2	+1	0.1
2018	31	AAA	Tacoma Rainiers	—	425	358	108	24	1	10	57	52	5	6	2	302	405	458	863	156	326	12	13	383	94	—	—	—	—	—	—
2019	32	MLB	Detroit Tigers	—	240	223	48	13	2	6	13	68	4	3	1	215	271	372	643	157	282	28	5	287	84	-5	+0	-5	+1	+5	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3782	3403	807	187	7	80	266	670	54	35	20	237	303	367	669	130	271	18	7	298	88	-56	-1	+18	+20	+82	6.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	21	A MLE	Kannapolis Intimidators	—	63	60	16	2	0	2	3	9	0	0	1	267	302	400	702	133	280	14	5	310	96	—	—	—	—	—	—
2009	22	MLB MLE	Chicago White Sox	—	430	378	102	28	1	14	41	65	6	7	4	270	351	460	811	190	290	15	10	356	127	+14	-0	+2	+2	+9	2.7
2009	22	AAA MLE	Charlotte Knights	—	30	28	13	6	0	0	0	2	0	1	0	464	464	679	1.143	214	448	7	0	458	196	—	—	—	—	—	—
2009	22	AA MLE	Birmingham Barons	—	166	152	40	16	0	3	9	29	2	1	0	263	313	428	741	164	301	17	5	321	103	—	—	—	—	—	—
2010	23	MLB MLE	Chicago White Sox	—	498	444	112	25	2	9	37	92	7	4	6	252	320	378	698	126	297	18	7	308	94	-3	-2	+1	+2	+11	0.8
2011	24	MLB MLE	Chicago White Sox	—	557	499	115	23	0	10	35	111	13	5	3	230	298	337	635	106	276	20	6	283	78	-15	-0	+5	+2	+12	0.4
2012	25	MLB MLE	Chicago White Sox	—	582	525	123	24	0	16	40	89	7	5	4	234	297	371	669	137	254	15	7	295	85	-10	-1	+5	+2	+13	0.9
2013	26	MLB MLE	Chicago White Sox	—	408	373	99	22	1	5	26	56	4	5	1	265	320	370	690	105	299	14	6	307	94	-3	+1	+2	+2	+9	1.0
2013	26	AAA MLE	Charlotte Knights	—	38	37	11	2	0	0	1	7	0	0	0	297	316	351	667	54	365	18	3	292	84	—	—	—	—	—	—
2014	27	MLB MLE	Los Angeles Angels	—	483	448	102	28	0	9	20	81	7	3	0	228	272	350	622	123	255	17	4	274	72	-16	+1	-1	+2	+10	-0.4
2014	27	AA MLE	Birmingham Barons	—	47	45	6	2	0	1	2	8	0	1	0	133	170	244	415	111	143	17	4	181	9	—	—	—	—	—	—
2015	28	MLB MLE	Chicago White Sox	—	237	212	44	8	0	6	18	43	2	0	1	208	276	330	606	123	229	18	8	268	68	-9	-0	+6	+1	+5	0.3
2016	29	MLB MLE	San Francisco Giants	—	279	246	52	16	1	5	25	52	4	1	0	211	295	346	640	134	245	19	9	291	83	-6	+0	+0	+1	+6	0.2
2017	30	MLB MLE	Seattle Mariners	—	18	17	3	0	0	0	1	2	0	1	0	176	222	176	399		200	11	6	190	15	-2	+0	+0	+4	+0	0.3
2017	30	AAA MLE	Tacoma Rainiers	—	355	335	70	12	0	7	13	73	5	3	2	209	249	307	557	99	241	21	4	243	51	—	—	—	—	—	—
2018	31	MLB MLE	Seattle Mariners	—	50	44	8	1	0	0	4	11	0	1	0	182	250	205	455	23	242	22	8	209	28	-4	+0	+2	+2	+1	0.1
2018	31	AAA MLE	Tacoma Rainiers	—	425	380	94	21	1	8	35	65	5	6	2	247	319	371	690	124	272	15	8	307	94	—	—	—	—	—	—
2019	32	MLB MLE	Detroit Tigers	—	240	223	48	13	2	6	13	68	4	3	1	215	271	372	643	157	282	28	5	292	84	-5	+0	-5	+1	+5	-0.3
2008	21	A MLE	Kannapolis Intimidators	—	63	60	16	2	0	2	3	9	0	0	1	267	302	400	702	133	286	14	5	310	96	—	—	—	—	—	—
2008	21	A RAW	Kannapolis Intimidators	—	63	58	18	2	0	3	5	7	0	0	1	310	365	500	865	190	312	11	8	382	96	—	—	—	—	—	—
2009	22	MLB MLE	3 teams	—	626	558	155	49	1	17	50	97	8	9	4	278	346	461	806	183	307	15	8	352	124	+18	+0	+2	+2	+14	3.6
2009	22	MLB RAW	3 teams	—	626	553	159	51	1	18	55	91	8	9	4	288	360	481	841	193	313	15	9	366	124	+18	+0	+2	+2	+14	3.6
2010	23	MLB MLE	Chicago White Sox	—	498	444	112	25	2	9	37	92	7	4	6	252	320	378	698	126	297	18	7	308	94	-3	-2	+1	+2	+11	0.8
2010	23	MLB RAW	Chicago White Sox	—	498	444	112	25	2	9	37	92	7	4	6	252	320	378	698	126	297	18	7	309	94	-3	-2	+1	+2	+11	0.8
2011	24	MLB MLE	Chicago White Sox	—	557	499	115	23	0	10	35	111	13	5	3	230	298	337	635	106	276	20	6	283	78	-15	-0	+5	+2	+12	0.4
2011	24	MLB RAW	Chicago White Sox	—	557	499	115	23	0	10	35	111	13	5	3	230	298	337	635	106	276	20	6	285	78	-15	-0	+5	+2	+12	0.4
2012	25	MLB MLE	Chicago White Sox	—	582	525	123	24	0	16	40	89	7	5	4	234	297	371	669	137	254	15	7	295	85	-10	-1	+5	+2	+13	0.9
2012	25	MLB RAW	Chicago White Sox	—	582	525	123	24	0	16	40	89	7	5	4	234	297	371	669	137	254	15	7	296	85	-10	-1	+5	+2	+13	0.9
2013	26	MLB MLE	2 teams	—	446	410	109	23	1	5	27	63	4	5	1	266	317	363	681	98	301	14	6	305	93	-4	+1	+2	+2	+10	1.0
2013	26	MLB RAW	2 teams	—	446	407	111	24	1	5	30	62	4	5	1	273	329	373	702	101	308	14	7	314	93	-4	+1	+2	+2	+10	1.0
2014	27	MLB MLE	2 teams	—	530	493	108	30	0	10	22	89	7	4	0	219	262	341	603	122	246	17	4	266	66	-21	+1	-1	+2	+11	-0.8
2014	27	MLB RAW	2 teams	—	530	489	108	29	0	10	26	87	7	4	0	221	270	342	612	121	247	16	5	271	66	-21	+1	-1	+2	+11	-0.8
2015	28	MLB MLE	Chicago White Sox	—	237	212	44	8	0	6	18	43	2	0	1	208	276	330	606	123	228	18	8	268	68	-9	-0	+6	+1	+5	0.3
2015	28	MLB RAW	Chicago White Sox	—	237	211	44	8	0	6	19	43	2	0	1	209	280	332	612	123	229	18	8	273	68	-9	-0	+6	+1	+5	0.3
2016	29	MLB MLE	San Francisco Giants	—	279	246	52	16	1	5	25	52	4	1	0	211	295	346	640	134	244	19	9	291	83	-6	+0	+0	+1	+6	0.2
2016	29	MLB RAW	San Francisco Giants	—	279	245	52	16	1	5	26	52	4	1	0	212	298	347	645	135	245	19	9	290	83	-6	+0	+0	+1	+6	0.2
2017	30	AAA MLE	2 teams	—	373	352	73	12	0	7	14	75	5	4	2	207	248	301	549	94	243	20	4	240	49	—	—	—	—	—	—
2017	30	AAA RAW	2 teams	—	373	345	89	16	0	9	21	60	5	4	2	258	310	383	693	125	288	16	6	310	49	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	475	424	102	22	1	8	39	76	5	7	2	241	312	354	666	113	272	16	8	297	87	—	—	—	—	—	—
2018	31	AAA RAW	2 teams	—	475	402	116	25	1	10	61	63	5	7	2	289	389	430	819	142	317	13	13	365	87	—	—	—	—	—	—
2019	32	MLB MLE	Detroit Tigers	—	240	223	48	13	2	6	13	68	4	3	1	215	271	372	643	157	282	28	5	292	84	-5	+0	-5	+1	+5	-0.3
2019	32	MLB RAW	Detroit Tigers	—	240	223	48	13	2	6	13	68	4	3	1	215	271	372	643	157	282	28	5	287	84	-5	+0	-5	+1	+5	-0.3
2008	21	A MLE	Kannapolis Intimidators	—	63	60	16	2	0	2	3	9	0	0	1	267	302	400	702	133	280	14	5	310	96	—	—	—	—	—	—
2009	22	MLB MLE	3 teams	—	626	563	155	49	1	17	50	97	8	9	4	275	346	456	802	181	301	15	8	352	124	—	—	—	—	—	—
2010	23	MLB MLE	Chicago White Sox	—	498	451	112	25	2	9	37	92	7	4	6	248	320	373	692	124	297	18	7	308	94	—	—	—	—	—	—
2011	24	MLB MLE	Chicago White Sox	—	557	504	115	23	0	10	35	111	13	5	3	228	298	333	631	105	276	20	6	283	78	—	—	—	—	—	—
2012	25	MLB MLE	Chicago White Sox	—	582	530	123	24	0	16	40	89	7	5	4	232	297	368	665	136	254	15	7	295	85	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	446	412	109	23	1	5	27	63	4	5	1	265	317	362	679	97	305	14	6	305	93	—	—	—	—	—	—
2014	27	MLB MLE	2 teams	—	530	496	108	30	0	10	22	89	7	4	0	218	262	339	601	121	245	17	4	266	66	—	—	—	—	—	—
2015	28	MLB MLE	Chicago White Sox	—	237	215	44	8	0	6	18	43	2	0	1	205	276	326	601	121	229	18	8	268	68	—	—	—	—	—	—
2016	29	MLB MLE	San Francisco Giants	—	279	248	52	16	1	5	25	52	4	1	0	210	295	343	637	133	245	19	9	291	83	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	373	351	73	12	0	7	14	75	5	4	2	208	248	302	550	94	239	20	4	240	49	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	475	428	102	22	1	8	39	76	5	7	2	238	312	350	662	112	269	16	8	297	87	—	—	—	—	—	—
2019	32	MLB MLE	Detroit Tigers	—	240	221	48	13	2	6	13	68	4	3	1	217	271	376	646	158	282	28	5	292	84	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3782	3403	807	187	7	80	266	670	54	35	20	237	303	367	669	130	271	18	7	298	85	-56	-1	+18	+20	+82	6.4
/ 162G	—	A+C		—	650	585	139	32	1	14	46	115	9	6	3	238	303	368	671	130	271	18	7	298	85	-10	-0	+3	+3	+14	1.1
Career	—	MLE		—	4906	4446	1057	247	8	101	323	864	66	47	25	238	299	365	664	127	272	18	7	295	85	-56	-1	+18	+20	+82	6.4
/ 162G	—	MLE		—	650	589	140	33	1	13	43	114	9	6	3	238	300	363	663	126	272	18	7	295	85	-10	-0	+3	+3	+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.

2018 AAATacoma Rainiers · 425 PAwOBA .378 → .307 (−71)K% 12.2% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.24%	÷1.031	×1.290	—	—	15.30%
BB% (unintentional) /PA	13.41%	÷1.103	×0.710	—	×0.952	8.22%
HBP% /PA	1.18%	—	×0.980	—	×0.952	1.10%
Singles /BIP	23.86%	÷1.006	×0.900	×0.981	×0.952	19.93%
Doubles /BIP	7.84%	÷0.885	×0.810	×0.981	×0.952	6.70%
Triples /BIP	0.33%	÷0.900	×0.810	×0.981	×0.952	0.27%
Home runs /BIP	3.27%	÷0.918	×0.780	—	×0.952	2.64%

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 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 ×0.981.

Result: wOBA .378 → .307; ISO .156 → .136; BABIP .326 → .272. 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 AAATacoma Rainiers · 355 PAwOBA .308 → .243 (−64)K% 16.3% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.34%	÷1.028	×1.290	—	—	20.49%
BB% (unintentional) /PA	5.35%	÷0.979	×0.710	—	×0.962	3.73%
HBP% /PA	1.41%	—	×0.980	—	×0.962	1.33%
Singles /BIP	22.59%	÷0.978	×0.900	×0.959	×0.962	19.18%
Doubles /BIP	5.93%	÷0.988	×0.810	×0.959	×0.962	4.48%
Triples /BIP	0.00%	÷0.900	×0.810	×0.959	×0.962	0.00%
Home runs /BIP	3.33%	÷0.963	×0.780	—	×0.962	2.60%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 98, 3B 80, K 106, BB 96 — 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 ×0.959.

Result: wOBA .308 → .243; ISO .131 → .099; BABIP .293 → .241. 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 AABirmingham Barons · 47 PAwOBA .229 → .181 (−48)K% 12.8% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.77%	÷0.955	×1.220	—	—	16.31%
BB% (unintentional) /PA	8.51%	÷1.057	×0.680	—	×0.968	5.30%
HBP% /PA	0.00%	—	×0.840	—	×0.968	0.00%
Singles /BIP	10.81%	÷1.021	×0.920	×0.950	×0.968	8.96%
Doubles /BIP	5.41%	÷0.903	×0.910	×0.950	×0.968	5.01%
Triples /BIP	0.00%	÷1.065	×0.880	×0.950	×0.968	0.00%
Home runs /BIP	2.70%	÷0.967	×0.800	—	×0.968	2.17%

Factors used: league row SL. Park (home-season share, regressed): HR 93, 1B 104, 2B 81, 3B 113, K 91, BB 111 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .229 → .181; ISO .116 → .099; BABIP .167 → .143. 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 AAACharlotte Knights · 38 PAwOBA .333 → .292 (−42)K% 15.8% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.023	×1.200	—	—	18.53%
BB% (unintentional) /PA	5.26%	÷0.939	×0.690	—	×1.003	3.88%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	33.33%	÷1.004	×0.930	—	×1.003	30.97%
Doubles /BIP	6.67%	÷1.006	×0.830	—	×1.003	5.52%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.003	0.00%
Home runs /BIP	0.00%	÷0.972	×0.840	—	×1.003	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 101, 3B 80, K 105, BB 88 — 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).

Result: wOBA .333 → .292; ISO .056 → .045; BABIP .400 → .365. 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).

2009 AABirmingham Barons · 166 PAwOBA .365 → .321 (−44)K% 14.5% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.46%	÷1.000	×1.220	—	—	17.64%
BB% (unintentional) /PA	7.83%	÷1.000	×0.680	—	×1.027	5.47%
HBP% /PA	1.20%	—	×0.840	—	×1.027	1.04%
Singles /BIP	18.70%	÷1.000	×0.920	×0.964	×1.027	17.04%
Doubles /BIP	13.82%	÷1.000	×0.910	×0.964	×1.027	12.45%
Triples /BIP	0.00%	÷1.000	×0.880	×0.964	×1.027	0.00%
Home runs /BIP	3.25%	÷1.000	×0.800	—	×1.027	2.67%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.964.

Result: wOBA .365 → .321; ISO .197 → .175; BABIP .333 → .301. 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).

2009 AAACharlotte Knights · 30 PAwOBA .470 → .458 (−12)K% 6.7% → 8.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷1.000	×1.200	—	—	8.00%
BB% (unintentional) /PA	0.00%	÷1.000	×0.690	—	×1.050	0.00%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	26.92%	÷1.000	×0.930	—	×1.050	26.29%
Doubles /BIP	23.08%	÷1.000	×0.830	—	×1.050	20.11%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .470 → .458; ISO .214 → .198; BABIP .481 → .448. 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).

2008 AKannapolis Intimidators · 63 PAwOBA .371 → .310 (−61)K% 11.1% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.000	×1.340	—	—	14.89%
BB% (unintentional) /PA	7.94%	÷1.000	×0.660	—	—	5.24%
HBP% /PA	0.00%	—	×0.770	—	—	0.00%
Singles /BIP	25.49%	÷1.000	×0.920	×0.999	—	23.43%
Doubles /BIP	3.92%	÷1.000	×0.820	×0.999	—	3.21%
Triples /BIP	0.00%	÷1.000	×0.940	×0.999	—	0.00%
Home runs /BIP	5.88%	÷1.000	×0.820	—	—	4.82%

Factors used: league row SAL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .371 → .310; ISO .190 → .153; BABIP .312 → .280. 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).