Ben Zobrist

Pos2B

B/TS/R

Born1981-05-26

Age (2027)46

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
2017	36	MLBCHC	496	.232/.320/.375	12	2	94	0.6
2018	37	MLBCHC	520	.305/.383/.440	9	3	130	2.3
2019	38	MLBCHC	176	.260/.362/.313	1	0	98	0.2
2020	39	No MLB games played
2021	40	No MLB games played
2022	41	No MLB games played
2023	42	No MLB games played
2024	43	No MLB games played
2025	44	No MLB games played
2026	45	No MLB games played

Last 3 seasons WAR 3.1

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

xwOBA64

Avg EV38

Speed33

Barrel%12

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)
2005	24	A+	Salem Avalanche	—	180	141	47	12	1	3	37	17	1	2	1	333	475	496	971	163	364	9	21	433	120	—	—	—	—	—	—
2005	24	A	Lexington Legends	—	310	247	75	17	2	2	47	35	5	16	5	304	425	413	838	109	336	11	15	370	101	—	—	—	—	—	—
2006	25	MLB	Tampa Bay Devil Rays	—	198	183	41	6	2	2	10	26	0	2	3	224	264	311	576	87	247	13	5	253	55	-11	-1	+0	+7	+4	0.0
2006	25	AAA	Durham Bulls	—	82	69	21	3	1	0	10	9	1	4	1	304	400	377	777	72	350	11	12	348	107	—	—	—	—	—	—
2006	25	AA	Corpus Christi Hooks	—	381	315	103	25	6	3	55	46	5	9	5	327	435	473	908	146	375	12	14	400	125	—	—	—	—	—	—
2007	26	MLB	Tampa Bay Devil Rays	—	105	97	15	2	0	1	3	21	1	2	0	155	188	206	394	52	182	20	3	175	4	-12	+0	-1	+4	+2	-0.7
2007	26	AAA	Durham Bulls	—	276	222	62	14	2	7	43	38	5	8	3	279	407	455	862	176	306	14	16	380	113	—	—	—	—	—	—
2008	27	MLB	Tampa Bay Rays	—	227	198	50	10	2	12	25	37	2	3	0	253	342	505	847	253	252	16	11	368	133	+9	+1	-1	+4	+5	1.7
2008	27	AAA	Durham Bulls	—	88	71	26	3	0	4	15	16	0	4	1	366	477	577	1.054	211	423	18	17	453	147	—	—	—	—	—	—
2008	27	A+	Vero Beach Devil Rays	—	15	14	4	1	0	0	0	2	0	0	0	286	286	357	643	71	308	13	0	267	56	—	—	—	—	—	—
2009	28	MLB	Tampa Bay Rays	—	599	501	149	28	7	27	91	104	2	17	6	297	407	543	950	246	326	17	15	413	162	+44	+1	+22	+2	+13	8.5
2010	29	MLB	Tampa Bay Rays	—	655	541	129	28	2	10	92	107	3	24	3	238	352	353	705	115	273	16	14	316	99	-1	+4	+7	-7	+14	1.8
2011	30	MLB	Tampa Bay Rays	—	674	588	158	46	6	20	77	128	2	19	6	269	355	469	825	201	310	19	11	361	130	+24	+1	+10	+2	+15	5.4
2012	31	MLB	Tampa Bay Rays	—	668	560	151	39	7	20	97	103	3	14	9	270	380	471	852	202	296	15	15	374	134	+27	-1	+8	-7	+14	4.2
2013	32	MLB	Tampa Bay Rays	—	698	612	168	36	3	12	72	91	7	11	3	275	357	402	759	127	303	13	10	340	113	+11	+1	+3	+2	+15	3.3
2014	33	MLB	Tampa Bay Rays	—	654	570	155	34	3	10	75	84	1	10	5	272	358	395	752	123	301	13	11	337	110	+8	+0	+9	+2	+14	3.4
2015	34	MLB	Kansas City Royals	—	535	467	129	36	3	13	62	56	1	3	4	276	362	450	812	173	288	10	12	358	129	+19	-1	-2	+2	+12	3.0
2016	35	MLB	Chicago Cubs	—	631	523	142	31	3	18	96	82	4	6	4	272	388	446	834	174	290	13	15	370	131	+24	-0	-5	+2	+14	3.4
2017	36	MLB	Chicago Cubs	—	496	435	101	20	3	12	54	71	2	2	2	232	320	375	694	143	251	14	11	311	94	-3	-0	-3	+2	+11	0.6
2018	37	MLB	Chicago Cubs	—	520	455	139	28	3	9	55	60	2	3	4	305	383	440	822	134	331	12	11	363	130	+18	-1	-0	-6	+11	2.3
2019	38	MLB	Chicago Cubs	—	176	150	39	5	0	1	23	24	1	0	0	260	362	313	675	53	299	14	13	313	98	-1	+0	-2	+1	+4	0.2
2019	38	AAA	Iowa Cubs	—	18	16	2	1	0	0	2	2	0	0	0	125	222	188	410	62	143	11	11	199	-14	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	6836	5880	1566	349	44	167	832	994	31	116	49	266	360	426	786	160	292	15	12	348	122	+177	+4	+45	+11	+148	39.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	24	A+ MLE	Salem Avalanche	—	180	156	44	10	1	3	22	24	1	2	1	282	374	417	791	135	313	13	12	346	120	—	—	—	—	—	—
2005	24	A MLE	Lexington Legends	—	310	265	73	15	2	2	29	47	5	16	5	275	358	370	728	94	301	15	9	317	101	—	—	—	—	—	—
2006	25	MLB MLE	Tampa Bay Devil Rays	—	198	184	41	6	2	2	9	26	0	2	3	223	259	310	569	87	247	13	5	250	55	-11	-1	+0	+7	+4	0.0
2006	25	AAA MLE	Durham Bulls	—	82	72	22	3	1	0	7	11	1	4	1	306	375	375	750	69	347	13	9	326	107	—	—	—	—	—	—
2006	25	AA MLE	Corpus Christi Hooks	—	381	332	101	23	6	3	38	56	5	9	5	304	384	437	821	133	351	15	10	353	125	—	—	—	—	—	—
2007	26	MLB MLE	Tampa Bay Devil Rays	—	105	97	15	2	0	1	3	21	1	2	0	155	188	206	394	52	182	20	3	175	4	-12	+0	-1	+4	+2	-0.7
2007	26	AAA MLE	Durham Bulls	—	276	235	61	13	2	6	30	46	5	8	3	260	356	409	764	149	285	17	11	335	113	—	—	—	—	—	—
2008	27	MLB MLE	Tampa Bay Rays	—	227	199	50	10	2	12	24	37	2	3	0	251	338	503	840	251	252	16	11	365	133	+9	+1	-1	+4	+5	1.7
2008	27	AAA MLE	Durham Bulls	—	88	76	25	3	0	4	10	19	0	4	1	329	407	526	933	197	371	22	11	385	147	—	—	—	—	—	—
2008	27	A+ MLE	Vero Beach Devil Rays	—	15	14	4	1	0	0	0	3	0	0	0	286	286	357	643	71	274	20	0	251	56	—	—	—	—	—	—
2009	28	MLB MLE	Tampa Bay Rays	—	599	505	149	28	7	27	87	104	2	17	6	295	401	539	939	244	326	17	15	408	162	+44	+1	+22	+2	+13	8.5
2010	29	MLB MLE	Tampa Bay Rays	—	655	542	128	29	2	10	91	107	3	24	3	236	349	352	701	116	273	16	14	314	99	-1	+4	+7	-7	+14	1.8
2011	30	MLB MLE	Tampa Bay Rays	—	674	589	158	47	6	21	76	128	2	19	6	268	354	475	829	207	310	19	11	361	130	+24	+1	+10	+2	+15	5.4
2012	31	MLB MLE	Tampa Bay Rays	—	668	567	151	40	7	21	90	103	3	14	9	266	370	473	842	206	296	15	13	367	134	+27	-1	+8	-7	+14	4.2
2013	32	MLB MLE	Tampa Bay Rays	—	698	616	167	37	3	12	68	91	7	11	3	271	350	399	750	128	303	13	10	335	113	+11	+1	+3	+2	+15	3.3
2014	33	MLB MLE	Tampa Bay Rays	—	654	574	154	35	3	10	71	84	1	10	5	268	350	392	742	124	301	13	11	331	110	+8	+0	+9	+2	+14	3.4
2015	34	MLB MLE	Kansas City Royals	—	535	470	131	36	3	14	59	56	1	3	4	279	360	457	818	179	288	10	11	359	129	+19	-1	-2	+2	+12	3.0
2016	35	MLB MLE	Chicago Cubs	—	631	529	142	30	3	19	90	82	4	6	4	268	379	444	823	176	290	13	14	363	131	+24	-0	-5	+2	+14	3.4
2017	36	MLB MLE	Chicago Cubs	—	496	437	100	19	3	12	52	71	2	2	2	229	314	368	682	140	251	14	10	307	94	-3	-0	-3	+2	+11	0.6
2018	37	MLB MLE	Chicago Cubs	—	520	456	138	27	3	9	54	60	2	3	4	303	379	434	813	132	331	12	10	360	130	+18	-1	-0	-6	+11	2.3
2019	38	MLB MLE	Chicago Cubs	—	176	150	39	5	0	1	23	24	1	0	0	260	362	313	675	53	299	14	13	312	98	-1	+0	-2	+1	+4	0.2
2019	38	AAA MLE	Iowa Cubs	—	18	17	2	1	0	0	1	3	0	0	0	118	167	176	343	59	115	17	6	147	-14	—	—	—	—	—	—
2005	24	A MLE	2 teams	—	490	421	116	25	3	5	51	71	6	18	6	276	362	385	747	109	315	14	10	328	108	—	—	—	—	—	—
2005	24	A RAW	2 teams	—	490	388	122	29	3	5	84	52	6	18	6	314	444	443	887	129	346	11	17	393	108	—	—	—	—	—	—
2006	25	AA MLE	3 teams	—	661	588	164	32	9	5	54	93	6	15	9	279	346	389	735	111	322	14	8	319	102	—	—	—	—	—	—
2006	25	AA RAW	3 teams	—	661	567	165	34	9	5	75	81	6	15	9	291	380	409	789	118	330	12	11	350	102	—	—	—	—	—	—
2007	26	AAA MLE	2 teams	—	381	332	76	15	2	7	33	67	6	10	3	229	310	349	659	120	262	18	9	291	83	—	—	—	—	—	—
2007	26	AAA RAW	2 teams	—	381	319	77	16	2	8	46	59	6	10	3	241	348	379	727	138	268	15	12	323	83	—	—	—	—	—	—
2008	27	MLB MLE	3 teams	—	330	289	78	13	2	16	34	59	2	7	1	270	351	495	846	225	284	18	10	365	133	+13	+1	-1	+4	+7	2.4
2008	27	MLB RAW	3 teams	—	330	283	80	14	2	16	40	55	2	7	1	283	375	516	891	233	296	17	12	386	133	+13	+1	-1	+4	+7	2.4
2009	28	MLB MLE	Tampa Bay Rays	—	599	505	149	28	7	27	87	104	2	17	6	295	401	539	939	244	323	17	15	408	162	+44	+1	+22	+2	+13	8.5
2009	28	MLB RAW	Tampa Bay Rays	—	599	501	149	28	7	27	91	104	2	17	6	297	407	543	950	246	326	17	15	413	162	+44	+1	+22	+2	+13	8.5
2010	29	MLB MLE	Tampa Bay Rays	—	655	542	128	29	2	10	91	107	3	24	3	236	349	352	701	116	270	16	14	314	99	-1	+4	+7	-7	+14	1.8
2010	29	MLB RAW	Tampa Bay Rays	—	655	541	129	28	2	10	92	107	3	24	3	238	352	353	705	115	273	16	14	316	99	-1	+4	+7	-7	+14	1.8
2011	30	MLB MLE	Tampa Bay Rays	—	674	589	158	47	6	21	76	128	2	19	6	268	354	475	829	207	308	19	11	361	130	+24	+1	+10	+2	+15	5.4
2011	30	MLB RAW	Tampa Bay Rays	—	674	588	158	46	6	20	77	128	2	19	6	269	355	469	825	201	310	19	11	361	130	+24	+1	+10	+2	+15	5.4
2012	31	MLB MLE	Tampa Bay Rays	—	668	567	151	40	7	21	90	103	3	14	9	266	370	473	842	206	290	15	13	367	134	+27	-1	+8	-7	+14	4.2
2012	31	MLB RAW	Tampa Bay Rays	—	668	560	151	39	7	20	97	103	3	14	9	270	380	471	852	202	296	15	15	374	134	+27	-1	+8	-7	+14	4.2
2013	32	MLB MLE	Tampa Bay Rays	—	698	616	167	37	3	12	68	91	7	11	3	271	350	399	750	128	299	13	10	335	113	+11	+1	+3	+2	+15	3.3
2013	32	MLB RAW	Tampa Bay Rays	—	698	612	168	36	3	12	72	91	7	11	3	275	357	402	759	127	303	13	10	340	113	+11	+1	+3	+2	+15	3.3
2014	33	MLB MLE	Tampa Bay Rays	—	654	574	154	35	3	10	71	84	1	10	5	268	350	392	742	124	296	13	11	331	110	+8	+0	+9	+2	+14	3.4
2014	33	MLB RAW	Tampa Bay Rays	—	654	570	155	34	3	10	75	84	1	10	5	272	358	395	752	123	301	13	11	337	110	+8	+0	+9	+2	+14	3.4
2015	34	MLB MLE	Kansas City Royals	—	535	470	131	36	3	14	59	56	1	3	4	279	360	457	818	179	289	10	11	359	129	+19	-1	-2	+2	+12	3.0
2015	34	MLB RAW	Kansas City Royals	—	535	467	129	36	3	13	62	56	1	3	4	276	362	450	812	173	288	10	12	358	129	+19	-1	-2	+2	+12	3.0
2016	35	MLB MLE	Chicago Cubs	—	631	529	142	30	3	19	90	82	4	6	4	268	379	444	823	176	285	13	14	363	131	+24	-0	-5	+2	+14	3.4
2016	35	MLB RAW	Chicago Cubs	—	631	523	142	31	3	18	96	82	4	6	4	272	388	446	834	174	290	13	15	370	131	+24	-0	-5	+2	+14	3.4
2017	36	MLB MLE	Chicago Cubs	—	496	437	100	19	3	12	52	71	2	2	2	229	314	368	682	140	246	14	10	307	94	-3	-0	-3	+2	+11	0.6
2017	36	MLB RAW	Chicago Cubs	—	496	435	101	20	3	12	54	71	2	2	2	232	320	375	694	143	251	14	11	311	94	-3	-0	-3	+2	+11	0.6
2018	37	MLB MLE	Chicago Cubs	—	520	456	138	27	3	9	54	60	2	3	4	303	379	434	813	132	327	12	10	360	130	+18	-1	-0	-6	+11	2.3
2018	37	MLB RAW	Chicago Cubs	—	520	455	139	28	3	9	55	60	2	3	4	305	383	440	822	134	331	12	11	363	130	+18	-1	-0	-6	+11	2.3
2019	38	MLB MLE	2 teams	—	194	167	41	6	0	1	24	27	1	0	0	246	344	299	643	54	284	14	12	297	87	-3	+0	-2	+1	+4	-0.0
2019	38	MLB RAW	2 teams	—	194	166	41	6	0	1	25	26	1	0	0	247	349	301	650	54	284	13	13	303	87	-3	+0	-2	+1	+4	-0.0
2005	24	A MLE	2 teams	—	490	430	116	25	3	5	51	71	6	18	6	270	362	377	739	107	305	14	10	328	108	—	—	—	—	—	—
2006	25	AA MLE	3 teams	—	661	596	164	32	9	5	54	93	6	15	9	275	346	384	730	109	319	14	8	319	102	—	—	—	—	—	—
2007	26	AAA MLE	2 teams	—	381	339	76	15	2	7	33	67	6	10	3	224	310	342	652	118	257	18	9	291	83	—	—	—	—	—	—
2008	27	MLB MLE	3 teams	—	330	291	78	13	2	16	34	59	2	7	1	268	351	491	842	223	284	18	10	365	133	—	—	—	—	—	—
2009	28	MLB MLE	Tampa Bay Rays	—	599	505	149	28	7	27	87	104	2	17	6	295	401	539	939	244	326	17	15	408	162	—	—	—	—	—	—
2010	29	MLB MLE	Tampa Bay Rays	—	655	556	128	29	2	10	91	107	3	24	3	230	349	344	693	113	273	16	14	314	99	—	—	—	—	—	—
2011	30	MLB MLE	Tampa Bay Rays	—	674	591	158	47	6	21	76	128	2	19	6	267	354	474	828	206	310	19	11	361	130	—	—	—	—	—	—
2012	31	MLB MLE	Tampa Bay Rays	—	668	570	151	40	7	21	90	103	3	14	9	265	370	470	840	205	296	15	13	367	134	—	—	—	—	—	—
2013	32	MLB MLE	Tampa Bay Rays	—	698	618	167	37	3	12	68	91	7	11	3	270	350	398	748	128	303	13	10	335	113	—	—	—	—	—	—
2014	33	MLB MLE	Tampa Bay Rays	—	654	577	154	35	3	10	71	84	1	10	5	267	350	390	740	123	301	13	11	331	110	—	—	—	—	—	—
2015	34	MLB MLE	Kansas City Royals	—	535	470	131	36	3	14	59	56	1	3	4	279	360	457	818	179	288	10	11	359	129	—	—	—	—	—	—
2016	35	MLB MLE	Chicago Cubs	—	631	532	142	30	3	19	90	82	4	6	4	267	379	442	821	175	290	13	14	363	131	—	—	—	—	—	—
2017	36	MLB MLE	Chicago Cubs	—	496	439	100	19	3	12	52	71	2	2	2	228	314	367	680	139	251	14	10	307	94	—	—	—	—	—	—
2018	37	MLB MLE	Chicago Cubs	—	520	459	138	27	3	9	54	60	2	3	4	301	379	431	810	131	331	12	10	360	130	—	—	—	—	—	—
2019	38	MLB MLE	2 teams	—	194	167	41	6	0	1	24	27	1	0	0	246	344	299	643	54	282	14	12	297	87	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6836	5880	1566	349	44	167	832	994	31	116	49	266	360	426	786	160	292	15	12	348	118	+177	+4	+45	+11	+148	39.3
/ 162G	—	A+C		—	650	559	149	33	4	16	79	95	3	11	5	267	360	426	786	159	293	15	12	348	118	+17	+0	+4	+1	+14	3.7
Career	—	MLE		—	8186	7082	1893	419	56	189	934	1203	48	159	65	267	357	422	779	155	295	15	11	343	118	+177	+4	+45	+11	+148	39.3
/ 162G	—	MLE		—	650	562	150	33	4	15	74	96	4	13	5	267	356	420	776	153	295	15	11	343	118	+17	+0	+4	+1	+14	3.7

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 AAAIowa Cubs · 18 PAwOBA .195 → .147 (−48)K% 11.1% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.025	×1.290	—	—	13.98%
BB% (unintentional) /PA	11.11%	÷0.968	×0.710	—	×0.940	7.66%
HBP% /PA	0.00%	—	×0.980	—	×0.940	0.00%
Singles /BIP	7.14%	÷0.993	×0.900	—	×0.940	6.09%
Doubles /BIP	7.14%	÷1.014	×0.810	—	×0.940	5.36%
Triples /BIP	0.00%	÷1.029	×0.810	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.050	×0.780	—	×0.940	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — applied at half strength. Age: age 38 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (10.8 yr older than average).

Result: wOBA .195 → .147; ISO .062 → .047; BABIP .143 → .115. 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 AAADurham Bulls · 88 PAwOBA .446 → .385 (−61)K% 18.2% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.000	×1.200	—	—	21.82%
BB% (unintentional) /PA	17.05%	÷1.000	×0.690	—	×1.003	11.80%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	34.55%	÷1.000	×0.930	×0.964	×1.003	31.05%
Doubles /BIP	5.45%	÷1.000	×0.830	×0.964	×1.003	4.38%
Triples /BIP	0.00%	÷1.000	×0.970	×0.964	×1.003	0.00%
Home runs /BIP	7.27%	÷1.000	×0.840	—	×1.003	6.13%

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

Result: wOBA .446 → .385; ISO .211 → .187; BABIP .423 → .371. 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+Vero Beach Devil Rays · 15 PAwOBA .278 → .251 (−26)K% 13.3% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.33%	÷1.000	×1.420	—	—	18.93%
BB% (unintentional) /PA	0.00%	÷1.000	×0.750	—	×0.958	0.00%
HBP% /PA	0.00%	—	×0.930	—	×0.958	0.00%
Singles /BIP	25.00%	÷1.000	×0.920	—	×0.958	22.03%
Doubles /BIP	8.33%	÷1.000	×0.960	—	×0.958	7.66%
Triples /BIP	0.00%	÷1.000	×0.810	—	×0.958	0.00%
Home runs /BIP	0.00%	÷1.000	×0.880	—	×0.958	0.00%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .278 → .251; ISO .071 → .067; BABIP .308 → .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).

2007 AAADurham Bulls · 276 PAwOBA .374 → .335 (−40)K% 13.8% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.77%	÷1.000	×1.200	—	—	16.52%
BB% (unintentional) /PA	15.58%	÷1.000	×0.690	—	×1.018	10.94%
HBP% /PA	1.81%	—	×0.940	—	×1.018	1.73%
Singles /BIP	21.20%	÷1.000	×0.930	×1.016	×1.018	20.39%
Doubles /BIP	7.61%	÷1.000	×0.830	×1.016	×1.018	6.53%
Triples /BIP	1.09%	÷1.000	×0.970	×1.016	×1.018	1.09%
Home runs /BIP	3.80%	÷1.000	×0.840	—	×1.018	3.25%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.016.

Result: wOBA .374 → .335; ISO .176 → .163; BABIP .306 → .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).

2006 AACorpus Christi Hooks · 381 PAwOBA .391 → .353 (−38)K% 12.1% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.07%	÷1.000	×1.220	—	—	14.73%
BB% (unintentional) /PA	14.17%	÷1.000	×0.700	—	×0.998	9.90%
HBP% /PA	1.31%	—	×0.870	—	×0.998	1.14%
Singles /BIP	25.65%	÷1.000	×0.920	×1.043	×0.998	24.56%
Doubles /BIP	9.29%	÷1.000	×0.840	×1.043	×0.998	8.12%
Triples /BIP	2.23%	÷1.000	×0.940	×1.043	×0.998	2.18%
Home runs /BIP	1.12%	÷1.000	×0.800	—	×0.998	0.89%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .391 → .353; ISO .146 → .136; BABIP .375 → .351. 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).

2006 AAADurham Bulls · 82 PAwOBA .340 → .326 (−14)K% 11.0% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.98%	÷1.000	×1.200	—	—	13.17%
BB% (unintentional) /PA	12.20%	÷1.000	×0.690	—	×1.033	8.69%
HBP% /PA	1.22%	—	×0.940	—	×1.033	1.18%
Singles /BIP	28.33%	÷1.000	×0.930	×1.047	×1.033	28.51%
Doubles /BIP	5.00%	÷1.000	×0.830	×1.047	×1.033	4.49%
Triples /BIP	1.67%	÷1.000	×0.970	×1.047	×1.033	1.75%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.033	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 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 ×1.047.

Result: wOBA .340 → .326; ISO .072 → .073; BABIP .350 → .347. 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).

2005 ALexington Legends · 310 PAwOBA .367 → .317 (−50)K% 11.3% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.29%	÷1.000	×1.340	—	—	15.13%
BB% (unintentional) /PA	14.52%	÷1.000	×0.660	—	×0.980	9.39%
HBP% /PA	1.61%	—	×0.770	—	×0.980	1.22%
Singles /BIP	25.47%	÷1.000	×0.920	×1.016	×0.980	23.34%
Doubles /BIP	8.02%	÷1.000	×0.820	×1.016	×0.980	6.55%
Triples /BIP	0.94%	÷1.000	×0.940	×1.016	×0.980	0.88%
Home runs /BIP	0.94%	÷1.000	×0.820	—	×0.980	0.76%

Factors used: league row SAL. 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 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .367 → .317; ISO .109 → .099; BABIP .336 → .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).

2005 A+Salem Avalanche · 180 PAwOBA .421 → .346 (−75)K% 9.4% → 13.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.44%	÷1.000	×1.420	—	—	13.41%
BB% (unintentional) /PA	20.00%	÷1.000	×0.630	—	×0.988	12.45%
HBP% /PA	0.56%	—	×0.860	—	×0.988	0.47%
Singles /BIP	25.00%	÷1.000	×0.940	×0.965	×0.988	22.40%
Doubles /BIP	9.68%	÷1.000	×0.830	×0.965	×0.988	7.66%
Triples /BIP	0.81%	÷1.000	×0.800	×0.965	×0.988	0.62%
Home runs /BIP	2.42%	÷1.000	×0.900	—	×0.988	2.15%

Factors used: league row CAR. 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 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .421 → .346; ISO .163 → .144; BABIP .364 → .313. 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).