Lars Anderson

Pos1B

B/TL/L

Born1987-09-25

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	27	AALAD	548	.247/.378/.416	14	3	84	—	.214/.304/.343
2016	28	AAA/AA2 orgs	331	.266/.362/.416	8	3	79	—	.227/.295/.343
2017	29	INTLSydney Blue S…	116	.290/.339/.402	2	0	110	—

Contract

No contract data on file.

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	19	A+	Lancaster JetHawks	—	47	35	12	2	0	1	11	9	0	0	0	343	500	486	986	143	423	19	23	435	144	—	—	—	—	—	—
2007	19	A	Greenville Drive	—	533	458	132	35	3	10	71	112	2	2	4	288	386	443	829	155	361	21	13	371	95	—	—	—	—	—	—
2008	20	AA	Portland Sea Dogs	—	163	133	42	13	0	5	29	43	0	1	0	316	438	526	965	211	430	26	18	424	140	—	—	—	—	—	—
2008	20	A+	Lancaster JetHawks	—	358	306	97	19	1	13	46	64	3	0	0	317	411	513	924	196	362	18	13	406	122	—	—	—	—	—	—
2009	21	AA	Portland Sea Dogs	—	512	447	104	23	0	9	63	114	1	2	0	233	329	345	673	112	292	22	12	309	70	—	—	—	—	—	—
2010	22	MLB	Boston Red Sox	—	43	35	7	1	0	0	7	8	0	0	0	200	333	229	562	29	250	19	16	270	65	-2	+0	+0	-10	+1	-1.1
2010	22	AAA	Pawtucket Red Sox	—	462	409	107	32	3	10	44	109	6	2	2	262	342	428	770	166	331	24	10	342	88	—	—	—	—	—	—
2010	22	AA	Portland Sea Dogs	—	71	62	22	5	0	5	7	16	0	1	1	355	420	677	1.098	323	395	23	10	459	148	—	—	—	—	—	—
2011	23	AAA	Pawtucket Red Sox	—	577	491	130	31	2	14	80	120	3	5	0	265	371	422	793	157	322	21	14	356	96	—	—	—	—	—	—
2012	24	AAA	Columbus Clippers	—	470	396	99	27	2	9	65	107	2	1	0	250	359	396	755	146	314	23	14	338	82	—	—	—	—	—	—
2013	25	AAA	Charlotte Knights	—	266	227	44	7	0	2	33	72	3	1	0	194	304	251	555	57	271	27	12	263	40	—	—	—	—	—	—
2014	26	AAA	Iowa Cubs	—	101	87	25	5	0	4	11	18	1	0	0	287	374	483	856	195	318	18	11	373	90	—	—	—	—	—	—
2014	26	AA	Tennessee Smokies	—	141	124	39	11	1	2	16	20	0	0	0	315	393	468	861	153	359	14	11	381	99	—	—	—	—	—	—
2015	27	AA	Tulsa Drillers	—	548	449	111	34	0	14	91	92	3	3	2	247	378	416	794	169	279	17	17	357	84	—	—	—	—	—	—
2016	28	AAA	Oklahoma City Dodgers	—	29	24	5	1	0	1	5	9	0	2	0	208	345	375	720	167	286	31	17	330	45	—	—	—	—	—	—
2016	28	AA	Tulsa Drillers	—	302	262	71	18	0	7	38	48	0	1	0	271	363	420	783	149	306	16	13	350	82	—	—	—	—	—	—
2017	29	INTL	Sydney Blue Sox	—	116	107	31	6	0	2	7	21	1	0	0	290	339	402	741	112	341	18	6	330	110	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	43	35	7	1	0	0	7	8	0	0	0	200	333	229	562	29	250	19	16	270	69	-2	+0	+0	-10	+1	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	19	A+ MLE	Lancaster JetHawks	—	47	38	12	2	0	1	8	12	0	0	0	316	435	447	882	132	394	26	17	381	144	—	—	—	—	—	—
2007	19	A MLE	Greenville Drive	—	533	482	122	30	3	8	47	150	2	2	4	253	322	378	700	124	346	28	9	308	95	—	—	—	—	—	—
2008	20	AA MLE	Portland Sea Dogs	—	163	141	42	12	0	4	21	52	0	1	0	298	389	468	857	170	437	32	13	375	140	—	—	—	—	—	—
2008	20	A+ MLE	Lancaster JetHawks	—	358	319	90	16	1	12	33	86	3	0	0	282	355	451	806	169	341	24	9	349	122	—	—	—	—	—	—
2009	21	AA MLE	Portland Sea Dogs	—	512	467	103	21	0	7	43	139	1	2	0	221	288	310	598	90	298	27	8	271	70	—	—	—	—	—	—
2010	22	MLB MLE	Boston Red Sox	—	43	35	7	1	0	0	7	8	0	0	0	200	333	229	562	29	250	19	16	265	65	-2	+0	+0	-10	+1	-1.1
2010	22	AAA MLE	Pawtucket Red Sox	—	462	423	100	27	3	10	30	132	6	2	2	236	296	385	682	149	314	29	6	298	88	—	—	—	—	—	—
2010	22	AA MLE	Portland Sea Dogs	—	71	64	20	4	0	4	5	20	0	1	1	312	362	562	925	250	364	28	7	387	148	—	—	—	—	—	—
2011	23	AAA MLE	Pawtucket Red Sox	—	577	514	125	28	2	13	57	148	3	5	0	243	322	381	704	138	312	26	10	310	96	—	—	—	—	—	—
2012	24	AAA MLE	Columbus Clippers	—	470	417	96	25	2	7	44	132	2	1	0	230	307	350	657	120	303	28	9	290	82	—	—	—	—	—	—
2013	25	AAA MLE	Charlotte Knights	—	266	236	42	6	0	2	24	85	3	1	0	178	262	229	491	51	262	32	9	228	40	—	—	—	—	—	—
2014	26	AAA MLE	Iowa Cubs	—	101	92	22	4	0	3	6	23	1	0	0	239	293	380	673	141	280	23	6	301	90	—	—	—	—	—	—
2014	26	AA MLE	Tennessee Smokies	—	141	130	36	9	1	2	10	25	0	0	0	277	329	408	736	131	318	18	7	314	99	—	—	—	—	—	—
2015	27	AA MLE	Tulsa Drillers	—	548	481	103	29	0	11	59	113	3	3	2	214	304	343	647	129	253	21	11	292	84	—	—	—	—	—	—
2016	28	AAA MLE	Oklahoma City Dodgers	—	29	26	4	1	0	1	3	12	0	2	0	154	241	308	549	154	241	41	10	234	45	—	—	—	—	—	—
2016	28	AA MLE	Tulsa Drillers	—	302	274	64	16	0	5	26	59	0	1	0	234	300	347	647	113	274	20	9	289	82	—	—	—	—	—	—
2007	19	A MLE	2 teams	—	580	519	133	32	3	9	56	162	2	2	4	256	331	382	713	125	353	28	10	314	99	—	—	—	—	—	—
2007	19	A RAW	2 teams	—	580	493	144	37	3	11	82	121	2	2	4	292	395	446	841	154	365	21	14	376	99	—	—	—	—	—	—
2008	20	A+ MLE	2 teams	—	521	461	132	29	1	16	53	138	3	1	0	286	364	458	821	171	373	26	10	357	128	—	—	—	—	—	—
2008	20	A+ RAW	2 teams	—	521	439	139	32	1	18	75	107	3	1	0	317	420	517	937	200	381	21	14	411	128	—	—	—	—	—	—
2009	21	AA MLE	Portland Sea Dogs	—	512	467	103	21	0	7	43	139	1	2	0	221	288	310	598	90	298	27	8	271	70	—	—	—	—	—	—
2009	21	AA RAW	Portland Sea Dogs	—	512	447	104	23	0	9	63	114	1	2	0	233	329	345	673	112	292	22	12	309	70	—	—	—	—	—	—
2010	22	AAA MLE	3 teams	—	576	522	126	32	3	13	42	159	6	3	3	241	305	389	694	148	317	28	7	306	94	—	—	—	—	—	—
2010	22	AAA RAW	3 teams	—	576	506	136	38	3	15	58	133	6	3	3	269	351	445	796	176	332	23	10	351	94	—	—	—	—	—	—
2011	23	AAA MLE	Pawtucket Red Sox	—	577	514	125	28	2	13	57	148	3	5	0	243	322	381	704	138	315	26	10	310	96	—	—	—	—	—	—
2011	23	AAA RAW	Pawtucket Red Sox	—	577	491	130	31	2	14	80	120	3	5	0	265	371	422	793	157	322	21	14	356	96	—	—	—	—	—	—
2012	24	AAA MLE	Columbus Clippers	—	470	417	96	25	2	7	44	132	2	1	0	230	307	350	657	120	312	28	9	290	82	—	—	—	—	—	—
2012	24	AAA RAW	Columbus Clippers	—	470	396	99	27	2	9	65	107	2	1	0	250	359	396	755	146	314	23	14	338	82	—	—	—	—	—	—
2013	25	AAA MLE	Charlotte Knights	—	266	236	42	6	0	2	24	85	3	1	0	178	262	229	491	51	265	32	9	228	40	—	—	—	—	—	—
2013	25	AAA RAW	Charlotte Knights	—	266	227	44	7	0	2	33	72	3	1	0	194	304	251	555	57	271	27	12	263	40	—	—	—	—	—	—
2014	26	AA MLE	2 teams	—	242	222	58	13	1	5	16	48	1	0	0	261	314	396	710	135	310	20	7	309	95	—	—	—	—	—	—
2014	26	AA RAW	2 teams	—	242	211	64	16	1	6	27	38	1	0	0	303	385	474	859	171	343	16	11	377	95	—	—	—	—	—	—
2015	27	AA MLE	Tulsa Drillers	—	548	481	103	29	0	11	59	113	3	3	2	214	304	343	647	129	254	21	11	292	84	—	—	—	—	—	—
2015	27	AA RAW	Tulsa Drillers	—	548	449	111	34	0	14	91	92	3	3	2	247	378	416	794	169	279	17	17	357	84	—	—	—	—	—	—
2016	28	AA MLE	2 teams	—	331	300	68	17	0	6	29	71	0	3	0	227	295	343	638	117	276	21	9	284	78	—	—	—	—	—	—
2016	28	AA RAW	2 teams	—	331	286	76	19	0	8	43	57	0	3	0	266	362	416	778	150	305	17	13	349	78	—	—	—	—	—	—
2017	29	INTL MLE	Sydney Blue Sox	—	116	107	31	6	0	2	7	21	1	0	0	290	339	402	741	112	341	18	6	—	—	—	—	—	—	—	—
2017	29	INTL RAW	Sydney Blue Sox	—	116	107	31	6	0	2	7	21	1	0	0	290	339	402	741	112	341	18	6	330	110	—	—	—	—	—	—
2007	19	A MLE	2 teams	—	580	517	133	32	3	9	56	162	2	2	4	257	331	383	714	126	350	28	10	314	99	—	—	—	—	—	—
2008	20	A+ MLE	2 teams	—	521	460	132	29	1	16	53	138	3	1	0	287	364	459	822	172	371	26	10	357	128	—	—	—	—	—	—
2009	21	AA MLE	Portland Sea Dogs	—	512	463	103	21	0	7	43	139	1	2	0	222	288	313	601	91	298	27	8	271	70	—	—	—	—	—	—
2010	22	AAA MLE	3 teams	—	576	523	126	32	3	13	42	159	6	3	3	241	305	388	693	147	315	28	7	306	94	—	—	—	—	—	—
2011	23	AAA MLE	Pawtucket Red Sox	—	577	512	125	28	2	13	57	148	3	5	0	244	322	383	705	139	312	26	10	310	96	—	—	—	—	—	—
2012	24	AAA MLE	Columbus Clippers	—	470	421	96	25	2	7	44	132	2	1	0	228	307	347	653	119	303	28	9	290	82	—	—	—	—	—	—
2013	25	AAA MLE	Charlotte Knights	—	266	237	42	6	0	2	24	85	3	1	0	177	262	228	490	51	262	32	9	228	40	—	—	—	—	—	—
2014	26	AA MLE	2 teams	—	242	223	58	13	1	5	16	48	1	0	0	260	314	395	708	135	302	20	7	309	95	—	—	—	—	—	—
2015	27	AA MLE	Tulsa Drillers	—	548	481	103	29	0	11	59	113	3	3	2	214	304	343	647	129	253	21	11	292	84	—	—	—	—	—	—
2016	28	AA MLE	2 teams	—	331	299	68	17	0	6	29	71	0	3	0	227	295	344	639	117	271	21	9	284	78	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	43	35	7	1	0	0	7	8	0	0	0	200	333	229	562	29	250	19	16	270	84	-2	+0	+0	-10	+1	-1.1
/ 162G	—	A+C		—	650	529	106	15	0	0	106	121	0	0	0	200	334	229	563	28	251	19	16	270	84	-24	+0	+7	-155	+14	-16.2
Career	—	MLE		—	4739	4246	1017	238	12	91	430	1216	25	21	9	240	313	366	679	126	311	26	9	293	84	-2	+0	+0	-10	+1	-1.1
/ 162G	—	MLE		—	650	582	140	33	2	12	59	167	3	3	1	241	313	366	679	125	314	26	9	293	84	-24	+0	+7	-155	+14	-16.2

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.

2016 AATulsa Drillers · 302 PAwOBA .341 → .289 (−52)K% 15.9% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.89%	÷0.996	×1.220	—	—	19.47%
BB% (unintentional) /PA	11.92%	÷0.935	×0.700	—	×0.958	8.55%
HBP% /PA	0.00%	—	×0.870	—	×0.958	0.00%
Singles /BIP	21.50%	÷0.990	×0.920	×1.021	×0.958	19.55%
Doubles /BIP	8.41%	÷0.926	×0.840	×1.021	×0.958	7.46%
Triples /BIP	0.00%	÷0.900	×0.940	×1.021	×0.958	0.00%
Home runs /BIP	3.27%	÷1.020	×0.800	—	×0.958	2.46%

Factors used: league row TL. Park (home-season share, regressed): HR 104, 1B 98, 2B 85, 3B 80, K 99, BB 87 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .341 → .289; ISO .149 → .123; BABIP .306 → .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).

2016 AAAOklahoma City Dodgers · 29 PAwOBA .322 → .234 (−88)K% 31.0% → 41.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.03%	÷0.972	×1.290	—	—	41.17%
BB% (unintentional) /PA	17.24%	÷1.059	×0.710	—	×0.982	11.36%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	20.00%	÷1.017	×0.900	—	×0.982	17.38%
Doubles /BIP	6.67%	÷0.975	×0.810	—	×0.982	5.44%
Triples /BIP	0.00%	÷1.104	×0.810	—	×0.982	0.00%
Home runs /BIP	6.67%	÷0.947	×0.780	—	×0.982	5.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 89, 1B 103, 2B 95, 3B 121, K 94, BB 112 — 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 .322 → .234; ISO .167 → .124; BABIP .286 → .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).

2015 AATulsa Drillers · 548 PAwOBA .348 → .292 (−56)K% 16.8% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.79%	÷0.989	×1.220	—	—	20.71%
BB% (unintentional) /PA	15.51%	÷0.976	×0.700	—	×0.968	10.77%
HBP% /PA	0.55%	—	×0.870	—	×0.968	0.46%
Singles /BIP	17.65%	÷0.938	×0.920	×1.017	×0.968	17.03%
Doubles /BIP	9.52%	÷1.006	×0.840	×1.017	×0.968	7.83%
Triples /BIP	0.00%	÷0.900	×0.940	×1.017	×0.968	0.00%
Home runs /BIP	3.92%	÷1.039	×0.800	—	×0.968	2.92%

Factors used: league row TL. Park (home-season share, regressed): HR 108, 1B 88, 2B 101, 3B 80, K 98, BB 95 — 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 ×1.017.

Result: wOBA .348 → .292; ISO .169 → .138; BABIP .279 → .253. 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 AATennessee Smokies · 141 PAwOBA .369 → .314 (−55)K% 14.2% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.18%	÷0.980	×1.220	—	—	17.65%
BB% (unintentional) /PA	9.93%	÷0.948	×0.680	—	×0.978	6.96%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	24.04%	÷0.958	×0.920	×1.002	×0.978	22.62%
Doubles /BIP	10.58%	÷1.140	×0.910	×1.002	×0.978	8.27%
Triples /BIP	0.96%	÷1.065	×0.880	×1.002	×0.978	0.78%
Home runs /BIP	1.92%	÷1.009	×0.800	—	×0.978	1.49%

Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 92, 2B 128, 3B 113, K 96, BB 90 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .369 → .314; ISO .153 → .123; BABIP .359 → .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).

2014 AAAIowa Cubs · 101 PAwOBA .366 → .301 (−65)K% 17.8% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.82%	÷0.996	×1.290	—	—	23.08%
BB% (unintentional) /PA	10.89%	÷1.249	×0.710	—	×1.003	6.21%
HBP% /PA	0.99%	—	×0.980	—	×1.003	0.97%
Singles /BIP	23.19%	÷1.021	×0.900	×1.047	×1.003	21.47%
Doubles /BIP	7.25%	÷1.111	×0.810	×1.047	×1.003	5.55%
Triples /BIP	0.00%	÷1.150	×0.810	×1.047	×1.003	0.00%
Home runs /BIP	5.80%	÷0.929	×0.780	—	×1.003	4.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 104, 2B 122, 3B 130, K 99, BB 150 — 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 ×1.047.

Result: wOBA .366 → .301; ISO .195 → .164; BABIP .318 → .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).

2013 AAACharlotte Knights · 266 PAwOBA .258 → .228 (−29)K% 27.1% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.07%	÷1.023	×1.200	—	—	31.76%
BB% (unintentional) /PA	12.03%	÷0.939	×0.690	—	×1.018	9.00%
HBP% /PA	1.13%	—	×0.940	—	×1.018	1.08%
Singles /BIP	22.58%	÷1.004	×0.930	×1.045	×1.018	22.26%
Doubles /BIP	4.52%	÷1.006	×0.830	×1.045	×1.018	3.97%
Triples /BIP	0.00%	÷0.900	×0.970	×1.045	×1.018	0.00%
Home runs /BIP	1.29%	÷0.972	×0.840	—	×1.018	1.14%

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 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 ×1.045.

Result: wOBA .258 → .228; ISO .057 → .050; BABIP .271 → .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).

2012 AAAColumbus Clippers · 470 PAwOBA .332 → .290 (−42)K% 22.8% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.77%	÷0.974	×1.200	—	—	28.04%
BB% (unintentional) /PA	13.19%	÷0.998	×0.690	—	×1.033	9.42%
HBP% /PA	0.43%	—	×0.940	—	×1.033	0.41%
Singles /BIP	21.11%	÷1.002	×0.930	×1.050	×1.033	21.25%
Doubles /BIP	9.34%	÷0.999	×0.830	×1.050	×1.033	8.42%
Triples /BIP	0.69%	÷1.101	×0.970	×1.050	×1.033	0.66%
Home runs /BIP	3.11%	÷1.178	×0.840	—	×1.033	2.29%

Factors used: league row IL. Park (home-season share, regressed): HR 136, 1B 100, 2B 100, 3B 120, K 95, BB 100 — 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 ×1.050.

Result: wOBA .332 → .290; ISO .146 → .123; BABIP .314 → .303. 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 AAAPawtucket Red Sox · 577 PAwOBA .348 → .310 (−37)K% 20.8% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.80%	÷0.971	×1.200	—	—	25.70%
BB% (unintentional) /PA	13.52%	÷0.988	×0.690	—	×1.048	9.89%
HBP% /PA	0.52%	—	×0.940	—	×1.048	0.51%
Singles /BIP	22.37%	÷1.025	×0.930	×1.044	×1.048	22.22%
Doubles /BIP	8.36%	÷1.007	×0.830	×1.044	×1.048	7.54%
Triples /BIP	0.54%	÷0.900	×0.970	×1.044	×1.048	0.64%
Home runs /BIP	3.77%	÷0.955	×0.840	—	×1.048	3.48%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 101, 3B 80, K 94, BB 98 — 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 ×1.044.

Result: wOBA .348 → .310; ISO .157 → .144; BABIP .322 → .312. 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 — .