Darwin Barney

Pos2B

B/TR/R

Born1985-11-08

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	29	AAAOklahoma City…	379	.277/.327/.354	4	7	48	—	.225/.260/.292
2015	29	MLBTOR	30	.259/.286/.519	2	0	106	0.1
2016	30	MLBTOR	306	.269/.325/.373	4	2	94	1.2
2017	31	MLBTOR	362	.232/.275/.327	6	7	67	-0.7
2018	32	No MLB games played
2019	33	No MLB games played
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 0.6

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Speed47

xwOBA15

Barrel%10

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)
2007	21	A	Peoria Chiefs	—	192	176	48	9	3	2	11	22	3	5	2	273	326	392	718	119	299	11	6	319	64	—	—	—	—	—	—
2007	21	ROK	AZL Cubs	—	22	18	8	3	0	0	4	0	0	0	0	444	545	611	1.157	167	444	0	18	508	148	—	—	—	—	—	—
2008	22	A+	Daytona Cubs	—	459	409	107	22	4	3	38	58	3	8	3	262	329	357	686	95	295	13	8	306	68	—	—	—	—	—	—
2009	23	AAA	Iowa Cubs	—	230	212	56	12	1	0	13	32	0	4	1	264	305	330	635	66	308	14	6	283	57	—	—	—	—	—	—
2009	23	AA	Tennessee Smokies	—	284	252	80	12	0	3	23	33	0	5	1	317	375	401	775	83	348	12	8	340	92	—	—	—	—	—	—
2010	24	MLB	Chicago Cubs	—	85	79	19	4	0	0	6	12	0	0	0	241	294	291	585	51	284	14	7	269	67	-3	+0	+5	+6	+2	1.0
2010	24	AAA	Iowa Cubs	—	514	479	143	24	4	2	23	52	3	11	3	299	332	378	710	79	329	10	4	315	73	—	—	—	—	—	—
2011	25	MLB	Chicago Cubs	—	571	529	146	23	6	2	22	67	8	9	2	276	314	353	668	78	310	12	4	295	82	-12	+1	+9	+2	+12	1.2
2011	25	AAA	Iowa Cubs	—	15	14	5	1	0	1	0	2	1	1	0	357	400	643	1.043	286	364	13	0	454	139	—	—	—	—	—	—
2012	26	MLB	Chicago Cubs	—	588	548	139	26	4	7	33	58	3	6	1	254	300	354	654	100	273	10	6	292	82	-13	+1	+12	+2	+13	1.5
2013	27	MLB	Chicago Cubs	—	555	501	104	25	1	7	36	64	6	4	2	208	268	303	571	96	222	12	6	256	54	-30	+0	+10	+2	+12	-0.7
2014	28	MLB	Los Angeles Dodgers	—	262	237	57	11	2	3	17	34	4	1	0	241	302	342	644	101	267	13	6	288	83	-5	+0	+6	+1	+6	0.8
2014	28	AAA	Albuquerque Isotopes	—	38	35	9	1	0	0	3	5	0	0	0	257	316	286	602	29	300	13	8	279	35	—	—	—	—	—	—
2015	29	MLB	Toronto Blue Jays	—	30	27	7	1	0	2	1	2	0	0	0	259	286	519	804	259	217	7	3	325	106	+0	+0	-2	+1	+1	0.1
2015	29	AAA	Oklahoma City Dodgers	—	379	347	96	15	0	4	22	44	4	7	4	277	327	354	682	78	306	12	6	305	48	—	—	—	—	—	—
2016	30	MLB	Toronto Blue Jays	—	306	279	75	13	2	4	22	48	1	2	2	269	325	373	697	104	310	16	7	310	94	-2	-0	+7	+1	+7	1.2
2017	31	MLB	Toronto Blue Jays	—	362	336	78	14	0	6	18	64	2	7	2	232	275	327	603	95	270	18	5	268	67	-14	+1	-3	+1	+8	-0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2759	2536	625	117	15	31	155	349	24	29	9	246	296	341	637	95	273	13	6	284	78	-72	+2	+45	+18	+60	5.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	21	A MLE	Peoria Chiefs	—	192	179	42	7	3	2	8	30	3	5	2	235	279	341	620	106	263	16	4	263	64	—	—	—	—	—	—
2007	21	ROK MLE	AZL Cubs	—	22	20	6	2	0	0	2	0	0	0	0	300	364	400	764	100	339	0	9	387	148	—	—	—	—	—	—
2008	22	A+ MLE	Daytona Cubs	—	459	420	100	21	3	3	27	82	3	8	3	238	289	324	613	86	279	18	6	269	68	—	—	—	—	—	—
2009	23	AAA MLE	Iowa Cubs	—	230	216	53	10	1	0	10	41	0	4	1	245	279	301	580	56	293	18	4	253	57	—	—	—	—	—	—
2009	23	AA MLE	Tennessee Smokies	—	284	261	77	11	0	3	14	40	0	5	1	295	331	372	703	77	318	14	5	304	92	—	—	—	—	—	—
2010	24	MLB MLE	Chicago Cubs	—	85	79	19	4	0	0	6	12	0	0	0	241	294	291	585	51	284	14	7	267	67	-3	+0	+5	+6	+2	1.0
2010	24	AAA MLE	Iowa Cubs	—	514	491	133	21	4	2	15	66	3	11	3	271	297	342	639	71	302	13	3	276	73	—	—	—	—	—	—
2011	25	MLB MLE	Chicago Cubs	—	571	532	144	22	5	2	20	67	8	9	2	271	307	342	649	71	310	12	4	289	82	-12	+1	+9	+2	+12	1.2
2011	25	AAA MLE	Iowa Cubs	—	15	14	5	1	0	1	0	3	1	1	0	357	400	643	1.043	286	324	20	0	374	139	—	—	—	—	—	—
2012	26	MLB MLE	Chicago Cubs	—	588	549	137	25	3	7	32	58	3	6	1	250	295	344	639	95	273	10	5	289	82	-13	+1	+12	+2	+13	1.5
2013	27	MLB MLE	Chicago Cubs	—	555	508	103	24	1	7	31	64	6	4	2	203	257	295	552	93	222	12	6	248	54	-30	+0	+10	+2	+12	-0.7
2014	28	MLB MLE	Los Angeles Dodgers	—	262	239	58	12	2	3	15	34	4	1	0	243	298	347	646	105	267	13	6	291	83	-5	+0	+6	+1	+6	0.8
2014	28	AAA MLE	Albuquerque Isotopes	—	38	36	8	1	0	0	2	7	0	0	0	222	263	250	513	28	261	18	5	220	35	—	—	—	—	—	—
2015	29	MLB MLE	Toronto Blue Jays	—	30	27	7	1	0	2	1	2	0	0	0	259	286	519	804	259	217	7	3	325	106	+0	+0	-2	+1	+1	0.1
2015	29	AAA MLE	Oklahoma City Dodgers	—	379	356	80	12	0	4	13	58	4	7	4	225	260	292	552	67	250	15	3	239	48	—	—	—	—	—	—
2016	30	MLB MLE	Toronto Blue Jays	—	306	280	75	13	2	4	21	48	1	2	2	268	321	371	693	104	310	16	7	307	94	-2	-0	+7	+1	+7	1.2
2017	31	MLB MLE	Toronto Blue Jays	—	362	336	78	14	0	6	18	64	2	7	2	232	275	327	603	95	270	18	5	267	67	-14	+1	-3	+1	+8	-0.7
2007	21	A MLE	2 teams	—	214	200	50	10	3	2	9	30	3	5	2	250	292	360	652	110	282	14	4	276	73	—	—	—	—	—	—
2007	21	A RAW	2 teams	—	214	194	56	12	3	2	15	22	3	5	2	289	349	412	761	124	314	10	7	338	73	—	—	—	—	—	—
2008	22	A+ MLE	Daytona Cubs	—	459	420	100	21	3	3	27	82	3	8	3	238	289	324	613	86	285	18	6	269	68	—	—	—	—	—	—
2008	22	A+ RAW	Daytona Cubs	—	459	409	107	22	4	3	38	58	3	8	3	262	329	357	686	95	295	13	8	306	68	—	—	—	—	—	—
2009	23	AA MLE	2 teams	—	514	478	130	22	1	3	23	81	0	9	2	272	305	341	646	69	317	16	4	281	76	—	—	—	—	—	—
2009	23	AA RAW	2 teams	—	514	464	136	24	1	3	36	65	0	9	2	293	343	369	712	75	330	13	7	314	76	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	599	570	152	25	4	2	21	78	3	11	3	267	296	335	631	68	304	13	4	275	72	—	—	—	—	—	—
2010	24	AAA RAW	2 teams	—	599	558	162	28	4	2	29	64	3	11	3	290	327	366	692	75	323	11	5	309	72	—	—	—	—	—	—
2011	25	MLB MLE	2 teams	—	586	546	148	23	5	3	20	70	9	10	2	271	308	348	656	77	304	12	3	291	83	-12	+1	+9	+2	+13	1.3
2011	25	MLB RAW	2 teams	—	586	543	151	24	6	3	22	69	9	10	2	278	317	361	677	83	312	12	4	299	83	-12	+1	+9	+2	+13	1.3
2012	26	MLB MLE	Chicago Cubs	—	588	549	137	25	3	7	32	58	3	6	1	250	295	344	639	95	268	10	5	289	82	-13	+1	+12	+2	+13	1.5
2012	26	MLB RAW	Chicago Cubs	—	588	548	139	26	4	7	33	58	3	6	1	254	300	354	654	100	273	10	6	292	82	-13	+1	+12	+2	+13	1.5
2013	27	MLB MLE	Chicago Cubs	—	555	508	103	24	1	7	31	64	6	4	2	203	257	295	552	93	217	12	6	248	54	-30	+0	+10	+2	+12	-0.7
2013	27	MLB RAW	Chicago Cubs	—	555	501	104	25	1	7	36	64	6	4	2	208	268	303	571	96	222	12	6	256	54	-30	+0	+10	+2	+12	-0.7
2014	28	MLB MLE	2 teams	—	300	275	65	12	2	3	17	41	4	1	0	236	291	327	618	91	266	14	6	282	77	-8	+0	+6	+1	+6	0.6
2014	28	MLB RAW	2 teams	—	300	272	66	12	2	3	20	39	4	1	0	243	304	335	639	92	272	13	7	287	77	-8	+0	+6	+1	+6	0.6
2015	29	AAA MLE	2 teams	—	409	383	87	13	0	6	14	60	4	7	4	227	262	308	570	81	254	15	3	245	52	—	—	—	—	—	—
2015	29	AAA RAW	2 teams	—	409	374	103	16	0	6	23	46	4	7	4	275	324	366	690	91	299	11	6	306	52	—	—	—	—	—	—
2016	30	MLB MLE	Toronto Blue Jays	—	306	280	75	13	2	4	21	48	1	2	2	268	321	371	693	104	309	16	7	307	94	-2	-0	+7	+1	+7	1.2
2016	30	MLB RAW	Toronto Blue Jays	—	306	279	75	13	2	4	22	48	1	2	2	269	325	373	697	104	310	16	7	310	94	-2	-0	+7	+1	+7	1.2
2017	31	MLB MLE	Toronto Blue Jays	—	362	336	78	14	0	6	18	64	2	7	2	232	275	327	603	95	270	18	5	267	67	-14	+1	-3	+1	+8	-0.7
2017	31	MLB RAW	Toronto Blue Jays	—	362	336	78	14	0	6	18	64	2	7	2	232	275	327	603	95	270	18	5	268	67	-14	+1	-3	+1	+8	-0.7
2007	21	A MLE	2 teams	—	214	200	50	10	3	2	9	30	3	5	2	250	292	360	652	110	271	14	4	276	73	—	—	—	—	—	—
2008	22	A+ MLE	Daytona Cubs	—	459	426	100	21	3	3	27	82	3	8	3	235	289	319	608	85	279	18	6	269	68	—	—	—	—	—	—
2009	23	AA MLE	2 teams	—	514	486	130	22	1	3	23	81	0	9	2	267	305	335	641	68	307	16	4	281	76	—	—	—	—	—	—
2010	24	AAA MLE	2 teams	—	599	570	152	25	4	2	21	78	3	11	3	267	296	335	631	68	299	13	4	275	72	—	—	—	—	—	—
2011	25	MLB MLE	2 teams	—	586	552	148	23	5	3	20	70	9	10	2	268	308	344	652	76	311	12	3	291	83	—	—	—	—	—	—
2012	26	MLB MLE	Chicago Cubs	—	588	548	137	25	3	7	32	58	3	6	1	250	295	345	639	95	273	10	5	289	82	—	—	—	—	—	—
2013	27	MLB MLE	Chicago Cubs	—	555	513	103	24	1	7	31	64	6	4	2	201	257	292	549	92	222	12	6	248	54	—	—	—	—	—	—
2014	28	MLB MLE	2 teams	—	300	276	65	12	2	3	17	41	4	1	0	236	291	326	617	91	267	14	6	282	77	—	—	—	—	—	—
2015	29	AAA MLE	2 teams	—	409	388	87	13	0	6	14	60	4	7	4	224	262	304	566	80	248	15	3	245	52	—	—	—	—	—	—
2016	30	MLB MLE	Toronto Blue Jays	—	306	281	75	13	2	4	21	48	1	2	2	267	321	370	691	103	310	16	7	307	94	—	—	—	—	—	—
2017	31	MLB MLE	Toronto Blue Jays	—	362	339	78	14	0	6	18	64	2	7	2	230	275	324	600	94	270	18	5	267	67	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2759	2536	625	117	15	31	155	349	24	29	9	246	296	341	637	95	273	13	6	284	72	-72	+2	+45	+18	+60	5.4
/ 162G	—	A+C		—	650	597	148	28	4	7	37	82	6	7	2	248	298	343	642	95	275	13	6	284	72	-17	+1	+11	+4	+14	1.3
Career	—	MLE		—	4892	4545	1125	202	24	46	233	676	38	70	23	248	290	333	623	85	280	14	5	275	72	-72	+2	+45	+18	+60	5.4
/ 162G	—	MLE		—	650	604	149	27	3	6	31	90	5	9	3	247	289	331	620	84	279	14	5	275	72	-17	+1	+11	+4	+14	1.3

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.

2015 AAAOklahoma City Dodgers · 379 PAwOBA .297 → .239 (−58)K% 11.6% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.61%	÷0.984	×1.290	—	—	15.22%
BB% (unintentional) /PA	5.54%	÷1.095	×0.710	—	×0.972	3.49%
HBP% /PA	1.06%	—	×0.980	—	×0.972	1.01%
Singles /BIP	25.41%	÷1.028	×0.900	×0.969	×0.972	20.96%
Doubles /BIP	4.95%	÷0.965	×0.810	×0.969	×0.972	3.92%
Triples /BIP	0.00%	÷0.941	×0.810	×0.969	×0.972	0.00%
Home runs /BIP	1.32%	÷0.866	×0.780	—	×0.972	1.16%

Factors used: league row PCL. Park (home-season share, regressed): HR 73, 1B 106, 2B 93, 3B 88, K 97, BB 119 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .297 → .239; ISO .078 → .065; BABIP .306 → .250. 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 AAAAlbuquerque Isotopes · 38 PAwOBA .273 → .220 (−52)K% 13.2% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.16%	÷0.955	×1.290	—	—	17.77%
BB% (unintentional) /PA	7.89%	÷1.049	×0.710	—	×0.982	5.25%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	26.67%	÷1.008	×0.900	—	×0.982	23.38%
Doubles /BIP	3.33%	÷0.982	×0.810	—	×0.982	2.70%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.078	×0.780	—	×0.982	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 102, 2B 96, 3B 130, K 91, BB 110 — 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 .273 → .220; ISO .029 → .023; BABIP .300 → .261. 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 AAAIowa Cubs · 15 PAwOBA .441 → .374 (−67)K% 13.3% → 17.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷0.965	×1.290	—	—	17.82%
BB% (unintentional) /PA	0.00%	÷1.043	×0.710	—	×1.018	0.00%
HBP% /PA	6.67%	—	×0.980	—	×1.018	6.65%
Singles /BIP	25.00%	÷0.980	×0.900	—	×1.018	23.37%
Doubles /BIP	8.33%	÷1.017	×0.810	—	×1.018	6.76%
Triples /BIP	0.00%	÷1.086	×0.810	—	×1.018	0.00%
Home runs /BIP	8.33%	÷0.934	×0.780	—	×1.018	7.08%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 96, 2B 103, 3B 117, K 93, 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).

Result: wOBA .441 → .374; ISO .286 → .227; BABIP .364 → .324. 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 AAAIowa Cubs · 514 PAwOBA .308 → .276 (−32)K% 10.1% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.12%	÷1.017	×1.290	—	—	12.83%
BB% (unintentional) /PA	4.28%	÷1.086	×0.710	—	×1.033	2.89%
HBP% /PA	0.58%	—	×0.980	—	×1.033	0.59%
Singles /BIP	26.46%	÷1.019	×0.900	×1.021	×1.033	24.65%
Doubles /BIP	5.62%	÷1.001	×0.810	×1.021	×1.033	4.80%
Triples /BIP	0.94%	÷0.979	×0.810	×1.021	×1.033	0.82%
Home runs /BIP	0.47%	÷0.881	×0.780	—	×1.033	0.43%

Factors used: league row PCL. Park (home-season share, regressed): HR 76, 1B 104, 2B 100, 3B 96, K 103, BB 117 — 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 ×1.021.

Result: wOBA .308 → .276; ISO .079 → .069; BABIP .329 → .302. 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 AATennessee Smokies · 284 PAwOBA .333 → .304 (−29)K% 11.6% → 14.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.62%	÷1.000	×1.220	—	—	14.18%
BB% (unintentional) /PA	7.04%	÷1.000	×0.680	—	×1.012	4.85%
HBP% /PA	0.00%	—	×0.840	—	×1.012	0.00%
Singles /BIP	29.68%	÷1.000	×0.920	×0.984	×1.012	27.19%
Doubles /BIP	5.48%	÷1.000	×0.910	×0.984	×1.012	4.97%
Triples /BIP	0.00%	÷1.000	×0.880	×0.984	×1.012	0.00%
Home runs /BIP	1.37%	÷1.000	×0.800	—	×1.012	1.11%

Factors used: league row SL. 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 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 ×0.984.

Result: wOBA .333 → .304; ISO .083 → .076; BABIP .348 → .318. 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 AAAIowa Cubs · 230 PAwOBA .278 → .253 (−24)K% 13.9% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.91%	÷1.000	×1.290	—	—	17.95%
BB% (unintentional) /PA	5.65%	÷1.000	×0.710	—	×1.048	4.21%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	23.89%	÷1.000	×0.900	×1.033	×1.048	23.29%
Doubles /BIP	6.67%	÷1.000	×0.810	×1.033	×1.048	5.85%
Triples /BIP	0.56%	÷1.000	×0.810	×1.033	×1.048	0.49%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.048	0.00%

Factors used: league row PCL. 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 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 ×1.033.

Result: wOBA .278 → .253; ISO .066 → .058; BABIP .308 → .293. 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 A+Daytona Cubs · 459 PAwOBA .299 → .269 (−30)K% 12.6% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.64%	÷1.000	×1.420	—	—	17.94%
BB% (unintentional) /PA	7.84%	÷1.000	×0.750	—	×0.998	5.87%
HBP% /PA	0.65%	—	×0.930	—	×0.998	0.61%
Singles /BIP	22.22%	÷1.000	×0.920	×1.027	×0.998	20.96%
Doubles /BIP	6.27%	÷1.000	×0.960	×1.027	×0.998	6.17%
Triples /BIP	1.14%	÷1.000	×0.810	×1.027	×0.998	0.95%
Home runs /BIP	0.85%	÷1.000	×0.880	—	×0.998	0.75%

Factors used: league row FSL. 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 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .299 → .269; ISO .095 → .087; BABIP .295 → .279. 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).

2007 APeoria Chiefs · 192 PAwOBA .314 → .263 (−51)K% 11.5% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.46%	÷1.000	×1.360	—	—	15.58%
BB% (unintentional) /PA	5.73%	÷1.000	×0.690	—	—	3.95%
HBP% /PA	1.56%	—	×0.780	—	—	1.22%
Singles /BIP	22.08%	÷1.000	×0.920	×0.980	—	19.91%
Doubles /BIP	5.84%	÷1.000	×0.830	×0.980	—	4.76%
Triples /BIP	1.95%	÷1.000	×0.910	×0.980	—	1.74%
Home runs /BIP	1.30%	÷1.000	×0.800	—	—	1.04%

Factors used: level-wide A 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 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 ×0.980.

Result: wOBA .314 → .263; ISO .119 → .098; BABIP .299 → .263. 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).