Tommy La Stella

Pos2B

B/TL/R

Born1989-01-31

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	32	AAASF	38	.200/.342/.267	0	0	45	—	.182/.289/.242
2021	32	MLBSF	242	.250/.307/.405	7	0	102	0.7
2022	33	AAASF	48	.316/.458/.526	2	0	117	—	.268/.375/.390
2022	33	MLBSF	195	.239/.286/.350	2	0	79	-0.3
2023	34	MLBSEA	24	.190/.292/.238	0	0	59	-0.1
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 0.4

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA49

Avg EV40

Barrel%18

Speed10

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)
2011	22	A	Rome Braves	—	270	232	76	13	5	9	26	28	5	2	2	328	407	543	950	216	337	10	10	406	129	—	—	—	—	—	—
2012	23	A+	Lynchburg Hillcats	—	358	298	90	22	5	5	36	24	11	13	2	302	397	460	857	158	305	7	10	370	104	—	—	—	—	—	—
2012	23	ROK	GCL Braves	—	18	13	3	0	1	1	4	1	1	0	0	231	444	615	1.060	385	182	6	22	451	106	—	—	—	—	—	—
2013	24	AA	Mississippi Braves	—	325	283	97	21	2	4	37	34	2	7	1	343	420	473	893	131	380	10	11	397	124	—	—	—	—	—	—
2013	24	A+	Lynchburg Hillcats	—	29	20	11	1	0	1	8	1	1	1	1	550	690	750	1.440	200	556	3	28	615	263	—	—	—	—	—	—
2013	24	INTL	Scottsdale Scorpions	—	79	62	18	6	1	1	16	4	0	1	1	290	430	468	898	177	298	5	20	400	157	—	—	—	—	—	—
2014	25	MLB	Atlanta Braves	—	360	319	80	16	1	1	36	40	1	2	1	251	329	317	645	66	283	11	10	295	82	-8	+0	+2	+2	+8	0.4
2014	25	AAA	Gwinnett Braves	—	199	167	49	6	1	1	25	14	2	1	1	293	390	359	749	66	308	7	13	339	95	—	—	—	—	—	—
2015	26	MLB	Chicago Cubs	—	75	67	18	6	0	1	5	7	1	2	0	269	324	403	727	134	283	9	7	320	101	+0	+0	-0	+1	+2	0.2
2015	26	AAA	Iowa Cubs	—	38	33	11	2	1	1	4	3	0	0	0	333	405	545	951	212	333	8	11	405	129	—	—	—	—	—	—
2015	26	AA	Tennessee Smokies	—	41	36	9	3	0	0	3	1	1	0	0	250	317	333	650	83	257	2	7	295	59	—	—	—	—	—	—
2016	27	MLB	Chicago Cubs	—	169	148	40	12	1	2	18	27	2	0	1	270	355	405	760	135	319	16	11	342	113	+3	-0	-1	+1	+4	0.6
2016	27	AAA	Iowa Cubs	—	46	44	12	2	0	1	2	9	0	0	0	273	304	386	691	114	324	20	4	308	55	—	—	—	—	—	—
2017	28	MLB	Chicago Cubs	—	151	125	36	8	0	5	20	18	2	0	0	288	389	472	861	184	298	12	13	377	138	+7	+0	-3	+1	+3	0.8
2017	28	AAA	Iowa Cubs	—	121	110	24	2	0	1	10	22	0	0	1	218	283	264	547	45	261	18	8	253	32	—	—	—	—	—	—
2018	29	MLB	Chicago Cubs	—	192	169	45	8	0	1	17	27	2	0	1	266	333	331	665	65	312	14	9	303	88	-3	-0	-1	+1	+4	0.1
2019	30	MLB	Los Angeles Angels	—	321	292	86	8	0	16	20	28	3	0	0	295	340	486	826	192	282	9	6	361	130	+11	+0	-1	+1	+7	1.9
2020	31	MLB	Oakland Athletics	—	228	196	55	14	2	5	27	12	2	1	0	281	373	449	822	168	276	5	12	363	134	+9	+0	-2	+1	+5	1.3
2021	32	MLB	San Francisco Giants	—	242	220	55	11	1	7	18	26	1	0	0	250	307	405	712	155	255	11	7	315	102	+1	+0	+0	+1	+5	0.7
2021	32	AAA	Sacramento River Cats	—	38	30	6	2	0	0	7	5	0	0	0	200	342	267	609	67	240	13	18	291	45	—	—	—	—	—	—
2022	33	MLB	San Francisco Giants	—	195	180	43	14	0	2	11	30	1	0	0	239	286	350	636	111	272	15	6	282	79	-5	+0	-3	+1	+4	-0.3
2022	33	AAA	Sacramento River Cats	—	48	38	12	2	0	2	9	7	1	0	0	316	458	526	985	211	345	15	19	437	117	—	—	—	—	—	—
2023	34	MLB	Seattle Mariners	—	24	21	4	1	0	0	3	5	0	0	0	190	292	238	530	48	250	21	12	254	59	-1	+0	+0	+0	+1	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1957	1737	462	98	5	40	175	220	15	5	3	266	336	397	733	131	284	11	9	326	107	+17	-0	-9	+9	+42	5.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	22	A MLE	Rome Braves	—	270	241	72	12	4	9	17	38	5	2	2	299	357	494	851	195	306	14	6	359	129	—	—	—	—	—	—
2012	23	A+ MLE	Lynchburg Hillcats	—	358	313	86	19	4	5	21	36	11	13	2	275	342	409	751	134	270	10	6	322	104	—	—	—	—	—	—
2012	23	ROK MLE	GCL Braves	—	18	15	3	0	1	1	2	1	1	0	0	200	333	533	867	333	132	6	11	325	106	—	—	—	—	—	—
2013	24	AA MLE	Mississippi Braves	—	325	301	95	22	2	3	21	43	2	7	1	316	364	432	796	116	361	13	6	351	124	—	—	—	—	—	—
2013	24	A+ MLE	Lynchburg Hillcats	—	29	23	12	1	0	1	5	1	1	1	1	522	621	696	1.316	174	520	3	17	557	263	—	—	—	—	—	—
2014	25	MLB MLE	Atlanta Braves	—	360	321	79	15	1	1	34	40	1	2	1	246	320	308	629	62	283	11	9	289	82	-8	+0	+2	+2	+8	0.4
2014	25	AAA MLE	Gwinnett Braves	—	199	175	48	5	1	1	18	17	2	1	1	274	349	331	680	57	288	9	9	308	95	—	—	—	—	—	—
2015	26	MLB MLE	Chicago Cubs	—	75	68	18	6	0	1	5	7	1	2	0	265	324	397	721	132	283	9	7	317	101	+0	+0	-0	+1	+2	0.2
2015	26	AAA MLE	Iowa Cubs	—	38	34	11	2	1	1	3	4	0	0	0	324	378	529	908	206	296	11	8	359	129	—	—	—	—	—	—
2015	26	AA MLE	Tennessee Smokies	—	41	38	9	3	0	0	2	1	1	0	0	237	293	316	608	79	229	2	5	256	59	—	—	—	—	—	—
2016	27	MLB MLE	Chicago Cubs	—	169	150	40	12	1	2	17	27	2	0	1	267	349	400	749	133	319	16	10	335	113	+3	-0	-1	+1	+4	0.6
2016	27	AAA MLE	Iowa Cubs	—	46	45	11	2	0	1	1	11	0	0	0	244	261	356	616	111	288	24	2	250	55	—	—	—	—	—	—
2017	28	MLB MLE	Chicago Cubs	—	151	128	36	8	0	5	19	18	2	0	0	281	383	461	843	180	298	12	13	373	138	+7	+0	-3	+1	+3	0.8
2017	28	AAA MLE	Iowa Cubs	—	121	113	23	2	0	1	7	26	0	0	1	204	250	248	498	44	242	21	6	216	32	—	—	—	—	—	—
2018	29	MLB MLE	Chicago Cubs	—	192	174	45	8	0	1	16	27	2	0	1	259	328	322	650	63	312	14	8	298	88	-3	-0	-1	+1	+4	0.1
2019	30	MLB MLE	Los Angeles Angels	—	321	298	86	8	0	16	20	28	3	0	0	289	340	477	816	188	282	9	6	360	130	+11	+0	-1	+1	+7	1.9
2020	31	MLB MLE	Oakland Athletics	—	228	196	55	14	2	5	27	12	2	1	0	281	373	449	822	168	276	5	12	366	134	+9	+0	-2	+1	+5	1.3
2021	32	MLB MLE	San Francisco Giants	—	242	223	57	11	1	8	17	26	1	0	0	256	311	422	733	166	255	11	7	319	102	+1	+0	+0	+1	+5	0.7
2021	32	AAA MLE	Sacramento River Cats	—	38	33	6	2	0	0	5	6	0	0	0	182	289	242	532	61	204	16	13	235	45	—	—	—	—	—	—
2022	33	MLB MLE	San Francisco Giants	—	195	180	43	14	0	2	11	30	1	0	0	239	286	350	636	111	272	15	6	285	79	-5	+0	-3	+1	+4	-0.3
2022	33	AAA MLE	Sacramento River Cats	—	48	41	11	2	0	1	6	8	1	0	0	268	375	390	765	122	298	17	12	341	117	—	—	—	—	—	—
2023	34	MLB MLE	Seattle Mariners	—	24	21	4	1	0	0	3	5	0	0	0	190	292	238	530	48	250	21	12	255	59	-1	+0	+0	+0	+1	-0.1
2011	22	A MLE	Rome Braves	—	270	241	72	12	4	9	17	38	5	2	2	299	357	494	851	195	318	14	6	359	129	—	—	—	—	—	—
2011	22	A RAW	Rome Braves	—	270	232	76	13	5	9	26	28	5	2	2	328	407	543	950	216	337	10	10	406	129	—	—	—	—	—	—
2012	23	A+ MLE	2 teams	—	376	328	87	19	4	6	23	38	12	13	2	265	336	402	739	137	276	10	6	322	104	—	—	—	—	—	—
2012	23	A+ RAW	2 teams	—	376	311	93	22	6	6	40	25	12	13	2	299	399	466	866	167	300	7	11	374	104	—	—	—	—	—	—
2013	24	AA MLE	3 teams	—	433	396	131	29	2	5	33	54	3	9	3	331	387	452	839	121	374	12	8	368	135	—	—	—	—	—	—
2013	24	AA RAW	3 teams	—	433	365	126	28	3	6	61	39	3	9	3	345	440	488	927	142	375	9	14	412	135	—	—	—	—	—	—
2014	25	MLB MLE	2 teams	—	559	496	128	21	2	2	52	57	3	3	2	258	332	321	653	62	285	10	9	296	86	-9	-0	+2	+2	+12	0.6
2014	25	MLB RAW	2 teams	—	559	486	129	22	2	2	61	54	3	3	2	265	350	331	682	66	292	10	11	311	86	-9	-0	+2	+2	+12	0.6
2015	26	MLB MLE	3 teams	—	154	140	36	10	1	2	10	12	2	2	0	257	316	386	702	129	266	8	6	311	97	-1	+0	-0	+1	+3	0.4
2015	26	MLB RAW	3 teams	—	154	136	38	11	1	2	12	11	2	2	0	279	342	419	761	140	288	7	8	334	97	-1	+0	-0	+1	+3	0.4
2016	27	MLB MLE	2 teams	—	215	195	50	13	1	3	18	38	2	0	1	256	326	379	705	123	305	18	8	317	100	+0	-0	-1	+1	+5	0.4
2016	27	MLB RAW	2 teams	—	215	192	52	14	1	3	20	36	2	0	1	271	344	401	745	130	320	17	9	335	100	+0	-0	-1	+1	+5	0.4
2017	28	MLB MLE	2 teams	—	272	241	58	9	0	6	26	44	2	0	1	241	320	353	672	112	268	16	10	303	91	-3	-0	-3	+1	+6	0.0
2017	28	MLB RAW	2 teams	—	272	235	60	10	0	6	30	40	2	0	1	255	342	374	716	119	281	15	11	322	91	-3	-0	-3	+1	+6	0.0
2018	29	MLB MLE	Chicago Cubs	—	192	174	45	8	0	1	16	27	2	0	1	259	328	322	650	63	301	14	8	298	88	-3	-0	-1	+1	+4	0.1
2018	29	MLB RAW	Chicago Cubs	—	192	169	45	8	0	1	17	27	2	0	1	266	333	331	665	65	312	14	9	303	88	-3	-0	-1	+1	+4	0.1
2019	30	MLB MLE	Los Angeles Angels	—	321	298	86	8	0	16	20	28	3	0	0	289	340	477	816	188	276	9	6	360	130	+11	+0	-1	+1	+7	1.9
2019	30	MLB RAW	Los Angeles Angels	—	321	292	86	8	0	16	20	28	3	0	0	295	340	486	826	192	282	9	6	361	130	+11	+0	-1	+1	+7	1.9
2020	31	MLB MLE	Oakland Athletics	—	228	196	55	14	2	5	27	12	2	1	0	281	373	449	822	168	276	5	12	366	134	+9	+0	-2	+1	+5	1.3
2020	31	MLB RAW	Oakland Athletics	—	228	196	55	14	2	5	27	12	2	1	0	281	373	449	822	168	276	5	12	363	134	+9	+0	-2	+1	+5	1.3
2021	32	MLB MLE	2 teams	—	280	256	62	13	1	8	22	32	1	0	0	242	305	395	699	152	249	11	8	307	94	-2	+0	+0	+1	+6	0.6
2021	32	MLB RAW	2 teams	—	280	250	61	13	1	7	25	31	1	0	0	244	312	388	700	144	254	11	9	312	94	-2	+0	+0	+1	+6	0.6
2022	33	MLB MLE	2 teams	—	243	221	55	16	0	4	17	38	2	0	0	249	308	376	684	127	280	16	7	296	87	-4	+0	-3	+1	+5	-0.1
2022	33	MLB RAW	2 teams	—	243	218	55	16	0	4	20	37	2	0	0	252	321	381	702	128	283	15	8	313	87	-4	+0	-3	+1	+5	-0.1
2023	34	MLB MLE	Seattle Mariners	—	24	21	4	1	0	0	3	5	0	0	0	190	292	238	530	48	250	21	12	255	59	-1	+0	+0	+0	+1	-0.1
2023	34	MLB RAW	Seattle Mariners	—	24	21	4	1	0	0	3	5	0	0	0	190	292	238	530	48	250	21	12	254	59	-1	+0	+0	+0	+1	-0.1
2011	22	A MLE	Rome Braves	—	270	246	72	12	4	9	17	38	5	2	2	293	357	484	841	191	306	14	6	359	129	—	—	—	—	—	—
2012	23	A+ MLE	2 teams	—	376	338	87	19	4	6	23	38	12	13	2	257	336	391	727	133	263	10	6	322	104	—	—	—	—	—	—
2013	24	AA MLE	3 teams	—	433	394	131	29	2	5	33	54	3	9	3	332	387	454	841	122	374	12	8	368	135	—	—	—	—	—	—
2014	25	MLB MLE	2 teams	—	559	499	128	21	2	2	52	57	3	3	2	257	332	319	651	62	285	10	9	296	86	—	—	—	—	—	—
2015	26	MLB MLE	3 teams	—	154	141	36	10	1	2	10	12	2	2	0	255	316	383	699	128	272	8	6	311	97	—	—	—	—	—	—
2016	27	MLB MLE	2 teams	—	215	193	50	13	1	3	18	38	2	0	1	259	326	383	709	124	313	18	8	317	100	—	—	—	—	—	—
2017	28	MLB MLE	2 teams	—	272	242	58	9	0	6	26	44	2	0	1	240	320	351	671	112	273	16	10	303	91	—	—	—	—	—	—
2018	29	MLB MLE	Chicago Cubs	—	192	172	45	8	0	1	16	27	2	0	1	262	328	326	654	64	312	14	8	298	88	—	—	—	—	—	—
2019	30	MLB MLE	Los Angeles Angels	—	321	295	86	8	0	16	20	28	3	0	0	292	340	481	821	190	282	9	6	360	130	—	—	—	—	—	—
2020	31	MLB MLE	Oakland Athletics	—	228	197	55	14	2	5	27	12	2	1	0	279	373	447	820	168	276	5	12	366	134	—	—	—	—	—	—
2021	32	MLB MLE	2 teams	—	280	255	62	13	1	8	22	32	1	0	0	243	305	396	701	153	248	11	8	307	94	—	—	—	—	—	—
2022	33	MLB MLE	2 teams	—	243	222	55	16	0	4	17	38	2	0	0	248	308	374	682	126	277	16	7	296	87	—	—	—	—	—	—
2023	34	MLB MLE	Seattle Mariners	—	24	21	4	1	0	0	3	5	0	0	0	190	292	238	530	48	250	21	12	255	59	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1957	1737	462	98	5	40	175	220	15	5	3	266	336	397	733	131	284	11	9	326	106	+17	-0	-9	+9	+42	5.9
/ 162G	—	A+C		—	650	577	154	33	2	13	58	73	5	2	1	267	336	399	735	132	285	11	9	326	106	+5	-0	-3	+3	+14	2.0
Career	—	MLE		—	3567	3203	869	173	17	67	284	423	39	30	12	271	338	399	737	127	292	12	8	326	106	+17	-0	-9	+9	+42	5.9
/ 162G	—	MLE		—	650	584	159	32	3	12	52	77	7	5	2	272	339	399	738	127	294	12	8	326	106	+5	-0	-3	+3	+14	2.0

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 AAASacramento River Cats · 48 PAwOBA .426 → .341 (−85)K% 14.6% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.58%	÷0.986	×1.200	—	—	17.74%
BB% (unintentional) /PA	18.75%	÷0.984	×0.690	—	×0.942	12.39%
HBP% /PA	2.08%	—	×0.940	—	×0.942	1.84%
Singles /BIP	25.81%	÷0.968	×0.930	—	×0.942	23.35%
Doubles /BIP	6.45%	÷0.967	×0.830	—	×0.942	5.22%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.942	0.00%
Home runs /BIP	6.45%	÷0.989	×0.700	—	×0.942	4.30%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 94, 2B 93, 3B 80, K 97, BB 97 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average).

Result: wOBA .426 → .341; ISO .211 → .156; BABIP .345 → .298. 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 AAASacramento River Cats · 38 PAwOBA .285 → .235 (−50)K% 13.2% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.16%	÷1.034	×1.200	—	—	15.27%
BB% (unintentional) /PA	18.42%	÷0.956	×0.690	—	×0.952	12.66%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	16.00%	÷1.049	×0.930	—	×0.952	13.50%
Doubles /BIP	8.00%	÷0.916	×0.830	—	×0.952	6.90%
Triples /BIP	0.00%	÷0.900	×0.920	—	×0.952	0.00%
Home runs /BIP	0.00%	÷0.995	×0.700	—	×0.952	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, BB 91 — 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).

Result: wOBA .285 → .235; ISO .067 → .063; BABIP .240 → .204. 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 AAAIowa Cubs · 121 PAwOBA .249 → .216 (−32)K% 18.2% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.083	×1.290	—	—	21.66%
BB% (unintentional) /PA	8.26%	÷0.965	×0.710	—	×0.992	6.03%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	23.86%	÷0.991	×0.900	×1.043	×0.992	22.42%
Doubles /BIP	2.27%	÷1.056	×0.810	×1.043	×0.992	1.80%
Triples /BIP	0.00%	÷1.042	×0.810	×1.043	×0.992	0.00%
Home runs /BIP	1.14%	÷0.899	×0.780	—	×0.992	0.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .249 → .216; ISO .045 → .038; BABIP .261 → .242. 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 AAAIowa Cubs · 46 PAwOBA .300 → .250 (−50)K% 19.6% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.57%	÷1.037	×1.290	—	—	24.34%
BB% (unintentional) /PA	4.35%	÷1.034	×0.710	—	×1.003	2.99%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	25.71%	÷1.006	×0.900	—	×1.003	23.07%
Doubles /BIP	5.71%	÷0.927	×0.810	—	×1.003	5.01%
Triples /BIP	0.00%	÷0.945	×0.810	—	×1.003	0.00%
Home runs /BIP	2.86%	÷0.890	×0.780	—	×1.003	2.51%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — 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 .300 → .250; ISO .114 → .095; BABIP .324 → .288. 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 AATennessee Smokies · 41 PAwOBA .288 → .256 (−32)K% 2.4% → 3.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	2.44%	÷0.967	×1.220	—	—	3.08%
BB% (unintentional) /PA	7.32%	÷0.959	×0.680	—	×0.988	5.13%
HBP% /PA	2.44%	—	×0.840	—	×0.988	2.02%
Singles /BIP	17.14%	÷1.026	×0.920	—	×0.988	15.19%
Doubles /BIP	8.57%	÷0.998	×0.910	—	×0.988	7.72%
Triples /BIP	0.00%	÷1.058	×0.880	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.048	×0.800	—	×0.988	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 105, 2B 100, 3B 112, K 93, BB 92 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .288 → .256; ISO .083 → .079; BABIP .257 → .229. 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 AAAIowa Cubs · 38 PAwOBA .405 → .359 (−46)K% 7.9% → 9.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.89%	÷1.051	×1.290	—	—	9.69%
BB% (unintentional) /PA	10.53%	÷0.996	×0.710	—	×1.018	7.63%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	23.33%	÷1.008	×0.900	—	×1.018	21.21%
Doubles /BIP	6.67%	÷0.984	×0.810	—	×1.018	5.59%
Triples /BIP	3.33%	÷0.948	×0.810	—	×1.018	2.90%
Home runs /BIP	3.33%	÷0.916	×0.780	—	×1.018	2.89%

Factors used: league row PCL. Park (home-season share, regressed): HR 83, 1B 102, 2B 97, 3B 90, K 110, BB 99 — 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 .405 → .359; ISO .212 → .191; BABIP .333 → .296. 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 AAAGwinnett Braves · 199 PAwOBA .338 → .308 (−30)K% 7.0% → 8.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.04%	÷0.975	×1.200	—	—	8.66%
BB% (unintentional) /PA	12.56%	÷0.984	×0.690	—	×1.033	9.10%
HBP% /PA	1.01%	—	×0.940	—	×1.033	0.98%
Singles /BIP	26.80%	÷1.012	×0.930	×0.999	×1.033	25.43%
Doubles /BIP	3.92%	÷0.992	×0.830	×0.999	×1.033	3.39%
Triples /BIP	0.65%	÷1.150	×0.970	×0.999	×1.033	0.57%
Home runs /BIP	0.65%	÷1.120	×0.840	—	×1.033	0.51%

Factors used: league row IL. Park (home-season share, regressed): HR 124, 1B 102, 2B 98, 3B 130, K 95, BB 97 — 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 ×0.999.

Result: wOBA .338 → .308; ISO .066 → .059; BABIP .308 → .288. 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 AAMississippi Braves · 325 PAwOBA .384 → .351 (−33)K% 10.5% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.46%	÷0.965	×1.220	—	—	13.23%
BB% (unintentional) /PA	10.46%	÷1.089	×0.680	—	×1.012	6.61%
HBP% /PA	0.62%	—	×0.840	—	×1.012	0.52%
Singles /BIP	28.11%	÷1.023	×0.920	×1.027	×1.012	26.29%
Doubles /BIP	8.43%	÷0.921	×0.910	×1.027	×1.012	8.67%
Triples /BIP	0.80%	÷1.150	×0.880	×1.027	×1.012	0.64%
Home runs /BIP	1.61%	÷1.010	×0.800	—	×1.012	1.29%

Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 105, 2B 84, 3B 130, K 93, BB 118 — 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 ×1.027.

Result: wOBA .384 → .351; ISO .131 → .126; BABIP .380 → .361. 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).