Tyler Saladino

Pos3B

B/TR/R

Born1989-07-20

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	28	MLBCWS	281	.178/.254/.229	0	5	40	-0.8
2018	29	AAAColorado Spri…	154	.262/.373/.408	3	10	61	—	.199/.288/.294
2018	29	MLBMIL	139	.246/.301/.397	5	2	93	0.4
2019	30	AAASD	310	.287/.386/.566	17	8	90	—	.211/.286/.412
2019	30	MLBMIL	71	.123/.197/.215	2	2	16	0.2
2020	31	No MLB games played
2021	32	No MLB games played
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -0.3

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Speed60

Avg EV25

Barrel%10

xwOBA10

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)
2010	21	A	Kannapolis Intimidators	—	198	165	51	14	1	2	22	44	4	4	2	309	403	442	846	133	402	22	11	368	84	—	—	—	—	—	—
2010	21	ROK	Bristol White Sox	—	56	48	14	3	0	1	5	12	1	1	2	292	370	417	787	125	361	21	9	343	58	—	—	—	—	—	—
2011	22	A+	Winston-Salem Dash	—	464	397	107	26	9	16	51	90	9	7	7	270	365	501	867	232	310	19	11	375	80	—	—	—	—	—	—
2011	22	INTL	Mesa Solar Sox	—	85	77	22	1	2	0	7	17	0	3	1	286	345	351	696	65	361	20	8	313	98	—	—	—	—	—	—
2012	23	AAA	Charlotte Knights	—	55	49	11	2	0	0	4	16	1	1	0	224	296	265	562	41	333	29	7	259	36	—	—	—	—	—	—
2012	23	AA	Birmingham Barons	—	509	418	99	15	4	4	75	91	8	38	8	237	363	321	684	84	289	18	15	316	77	—	—	—	—	—	—
2013	24	AA	Birmingham Barons	—	493	424	97	17	2	5	51	86	6	28	8	229	320	314	634	85	271	17	10	287	51	—	—	—	—	—	—
2014	25	AAA	Charlotte Knights	—	325	294	91	16	4	9	27	50	1	7	1	310	370	483	853	173	346	15	8	374	109	—	—	—	—	—	—
2015	26	MLB	Chicago White Sox	—	254	236	53	6	4	4	12	51	2	8	2	225	268	335	603	110	269	20	5	266	66	-10	+1	+4	+2	+6	0.2
2015	26	AAA	Charlotte Knights	—	231	196	50	7	2	4	22	33	4	25	2	255	342	372	715	117	277	14	10	313	79	—	—	—	—	—	—
2016	27	MLB	Chicago White Sox	—	319	298	84	14	0	8	13	62	3	11	5	282	318	409	728	128	329	19	4	320	102	+1	+0	+2	+1	+7	1.1
2017	28	MLB	Chicago White Sox	—	281	253	45	9	2	0	23	67	3	5	4	178	254	229	484	51	242	24	8	227	40	-20	-1	+5	+1	+6	-0.8
2017	28	AAA	Charlotte Knights	—	23	20	7	1	0	1	3	7	0	0	0	350	435	550	985	200	500	30	13	434	107	—	—	—	—	—	—
2018	29	MLB	Milwaukee Brewers	—	139	126	31	4	0	5	9	41	1	2	2	246	301	397	698	151	321	29	6	305	93	-1	-0	-1	+3	+3	0.4
2018	29	AAA	Colorado Springs Sky Sox	—	154	130	34	4	3	3	21	28	2	10	0	262	373	408	780	146	310	18	14	351	61	—	—	—	—	—	—
2019	30	MLB	Milwaukee Brewers	—	71	65	8	0	0	2	5	26	1	2	0	123	197	215	413	92	162	37	7	195	16	-7	+0	+3	+4	+2	0.2
2019	30	AAA	San Antonio Missions	—	310	265	76	19	2	17	41	67	2	8	1	287	386	566	952	279	322	22	13	411	90	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1064	978	221	33	6	19	62	247	10	28	13	226	279	330	609	104	282	23	6	272	70	-37	+0	+13	+11	+23	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	A MLE	Kannapolis Intimidators	—	198	173	45	12	1	2	14	60	4	4	2	260	330	376	706	116	347	30	7	293	84	—	—	—	—	—	—
2010	21	ROK MLE	Bristol White Sox	—	56	50	11	2	0	1	3	17	1	1	2	220	278	320	598	100	289	30	5	254	58	—	—	—	—	—	—
2011	22	A+ MLE	Winston-Salem Dash	—	464	416	88	20	7	13	32	134	9	7	7	212	282	387	669	175	268	29	7	287	80	—	—	—	—	—	—
2012	23	AAA MLE	Charlotte Knights	—	55	50	11	2	0	0	3	19	1	1	0	220	278	260	538	40	313	35	5	221	36	—	—	—	—	—	—
2012	23	AA MLE	Birmingham Barons	—	509	441	99	15	4	4	52	111	8	38	8	224	317	304	621	79	279	22	10	282	77	—	—	—	—	—	—
2013	24	AA MLE	Birmingham Barons	—	493	440	91	15	2	4	35	113	6	28	8	207	274	277	552	70	252	23	7	243	51	—	—	—	—	—	—
2014	25	AAA MLE	Charlotte Knights	—	325	302	87	14	4	7	19	61	1	7	1	288	332	430	763	142	335	19	6	329	109	—	—	—	—	—	—
2015	26	MLB MLE	Chicago White Sox	—	254	236	53	6	4	4	12	51	2	8	2	225	268	335	603	110	269	20	5	265	66	-10	+1	+4	+2	+6	0.2
2015	26	AAA MLE	Charlotte Knights	—	231	203	50	6	2	3	15	41	4	25	2	246	311	340	651	94	269	18	6	285	79	—	—	—	—	—	—
2016	27	MLB MLE	Chicago White Sox	—	319	298	84	14	0	8	13	62	3	11	5	282	318	409	728	128	329	19	4	318	102	+1	+0	+2	+1	+7	1.1
2017	28	MLB MLE	Chicago White Sox	—	281	253	45	9	2	0	23	67	3	5	4	178	254	229	484	51	242	24	8	227	40	-20	-1	+5	+1	+6	-0.8
2017	28	AAA MLE	Charlotte Knights	—	23	21	6	1	0	1	2	9	0	0	0	286	348	476	824	190	441	39	9	326	107	—	—	—	—	—	—
2018	29	MLB MLE	Milwaukee Brewers	—	139	126	31	4	0	5	9	41	1	2	2	246	301	397	698	151	321	29	6	305	93	-1	-0	-1	+3	+3	0.4
2018	29	AAA MLE	Colorado Springs Sky Sox	—	154	136	27	3	2	2	15	39	2	10	0	199	288	294	582	96	251	25	10	258	61	—	—	—	—	—	—
2019	30	MLB MLE	Milwaukee Brewers	—	71	65	8	0	0	2	5	26	1	2	0	123	197	215	413	92	162	37	7	192	16	-7	+0	+3	+4	+2	0.2
2019	30	AAA MLE	San Antonio Missions	—	310	279	59	13	2	13	27	88	2	8	1	211	286	412	698	201	255	28	9	301	90	—	—	—	—	—	—
2010	21	A MLE	2 teams	—	254	223	55	14	1	2	17	77	5	5	4	247	314	345	660	99	358	30	7	284	79	—	—	—	—	—	—
2010	21	A RAW	2 teams	—	254	213	65	17	1	3	27	56	5	5	4	305	396	437	833	131	392	22	11	362	79	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	549	494	104	24	8	15	38	159	9	10	8	211	279	383	662	172	275	29	7	287	80	—	—	—	—	—	—
2011	22	A+ RAW	2 teams	—	549	474	129	27	11	16	58	107	9	10	8	272	362	477	839	205	318	19	11	366	80	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	564	491	109	17	4	4	55	130	9	39	8	222	312	297	609	75	289	23	10	276	73	—	—	—	—	—	—
2012	23	AA RAW	2 teams	—	564	467	110	17	4	4	79	107	9	39	8	236	357	315	672	79	293	19	14	311	73	—	—	—	—	—	—
2013	24	AA MLE	Birmingham Barons	—	493	440	91	15	2	4	35	113	6	28	8	207	274	277	552	70	264	23	7	243	51	—	—	—	—	—	—
2013	24	AA RAW	Birmingham Barons	—	493	424	97	17	2	5	51	86	6	28	8	229	320	314	634	85	271	17	10	287	51	—	—	—	—	—	—
2014	25	AAA MLE	Charlotte Knights	—	325	302	87	14	4	7	19	61	1	7	1	288	332	430	763	142	339	19	6	329	109	—	—	—	—	—	—
2014	25	AAA RAW	Charlotte Knights	—	325	294	91	16	4	9	27	50	1	7	1	310	370	483	853	173	346	15	8	374	109	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	485	439	103	12	6	7	27	92	6	33	4	235	288	337	625	103	276	19	6	275	72	-16	+5	+4	+2	+11	0.5
2015	26	MLB RAW	2 teams	—	485	432	103	13	6	8	34	84	6	33	4	238	303	352	655	113	273	17	7	289	72	-16	+5	+4	+2	+11	0.5
2016	27	MLB MLE	Chicago White Sox	—	319	298	84	14	0	8	13	62	3	11	5	282	318	409	728	128	329	19	4	318	102	+1	+0	+2	+1	+7	1.1
2016	27	MLB RAW	Chicago White Sox	—	319	298	84	14	0	8	13	62	3	11	5	282	318	409	728	128	329	19	4	320	102	+1	+0	+2	+1	+7	1.1
2017	28	MLB MLE	2 teams	—	304	274	51	10	2	1	25	76	3	5	4	186	262	248	510	62	254	25	8	234	45	-20	-1	+5	+1	+7	-0.8
2017	28	MLB RAW	2 teams	—	304	273	52	10	2	1	26	74	3	5	4	190	268	253	521	62	258	24	9	243	45	-20	-1	+5	+1	+7	-0.8
2018	29	AAA MLE	2 teams	—	293	262	58	7	2	7	24	80	3	12	2	221	294	344	638	122	288	27	8	280	76	—	—	—	—	—	—
2018	29	AAA RAW	2 teams	—	293	256	65	8	3	8	30	69	3	12	2	254	339	402	741	148	315	24	10	329	76	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	381	344	67	13	2	15	32	114	3	10	1	195	269	375	644	180	240	30	8	281	76	—	—	—	—	—	—
2019	30	AAA RAW	2 teams	—	381	330	84	19	2	19	46	93	3	10	1	255	351	497	848	242	295	24	12	371	76	—	—	—	—	—	—
2010	21	A MLE	2 teams	—	254	230	55	14	1	2	17	77	5	5	4	239	314	335	649	96	334	30	7	284	79	—	—	—	—	—	—
2011	22	A+ MLE	2 teams	—	549	497	104	24	8	15	38	159	9	10	8	209	279	380	659	171	268	29	7	287	80	—	—	—	—	—	—
2012	23	AA MLE	2 teams	—	564	495	109	17	4	4	55	130	9	39	8	220	312	295	607	75	282	23	10	276	73	—	—	—	—	—	—
2013	24	AA MLE	Birmingham Barons	—	493	449	91	15	2	4	35	113	6	28	8	203	274	272	546	69	252	23	7	243	51	—	—	—	—	—	—
2014	25	AAA MLE	Charlotte Knights	—	325	302	87	14	4	7	19	61	1	7	1	288	332	430	763	142	335	19	6	329	109	—	—	—	—	—	—
2015	26	MLB MLE	2 teams	—	485	449	103	12	6	7	27	92	6	33	4	229	288	330	618	100	269	19	6	275	72	—	—	—	—	—	—
2016	27	MLB MLE	Chicago White Sox	—	319	300	84	14	0	8	13	62	3	11	5	280	318	407	725	127	329	19	4	318	102	—	—	—	—	—	—
2017	28	MLB MLE	2 teams	—	304	273	51	10	2	1	25	76	3	5	4	187	262	249	511	62	257	25	8	234	45	—	—	—	—	—	—
2018	29	AAA MLE	2 teams	—	293	264	58	7	2	7	24	80	3	12	2	220	294	341	635	121	284	27	8	280	76	—	—	—	—	—	—
2019	30	AAA MLE	2 teams	—	381	343	67	13	2	15	32	114	3	10	1	195	269	376	645	181	238	30	8	281	76	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1064	978	221	33	6	19	62	247	10	28	13	226	279	330	609	104	282	23	6	272	75	-37	+0	+13	+11	+23	1.0
/ 162G	—	A+C		—	650	597	136	20	4	12	38	151	6	17	8	228	280	335	615	107	284	23	6	272	75	-23	+0	+8	+7	+14	0.6
Career	—	MLE		—	3967	3567	809	140	31	70	285	964	48	160	45	227	293	342	635	116	288	24	7	279	75	-37	+0	+13	+11	+23	1.0
/ 162G	—	MLE		—	650	584	132	23	5	11	47	158	8	26	7	226	293	339	632	113	287	24	7	279	75	-23	+0	+8	+7	+14	0.6

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 AAASan Antonio Missions · 310 PAwOBA .403 → .301 (−102)K% 21.6% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.61%	÷0.979	×1.290	—	—	28.47%
BB% (unintentional) /PA	13.23%	÷1.055	×0.710	—	×0.972	8.65%
HBP% /PA	0.65%	—	×0.980	—	×0.972	0.61%
Singles /BIP	19.19%	÷0.995	×0.900	×0.965	×0.972	16.29%
Doubles /BIP	9.60%	÷1.045	×0.810	×0.965	×0.972	6.98%
Triples /BIP	1.01%	÷0.930	×0.810	×0.965	×0.972	0.83%
Home runs /BIP	8.59%	÷0.977	×0.780	—	×0.972	6.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — 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 ×0.965.

Result: wOBA .403 → .301; ISO .279 → .208; BABIP .322 → .255. 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).

2018 AAAColorado Springs Sky Sox · 154 PAwOBA .345 → .258 (−87)K% 18.2% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.925	×1.290	—	—	25.35%
BB% (unintentional) /PA	13.64%	÷0.985	×0.710	—	×0.982	9.65%
HBP% /PA	1.30%	—	×0.980	—	×0.982	1.25%
Singles /BIP	23.53%	÷1.014	×0.900	×0.970	×0.982	19.89%
Doubles /BIP	3.92%	÷1.014	×0.810	×0.970	×0.982	2.98%
Triples /BIP	2.94%	÷1.150	×0.810	×0.970	×0.982	1.97%
Home runs /BIP	2.94%	÷1.124	×0.780	—	×0.982	2.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .345 → .258; ISO .146 → .098; BABIP .310 → .251. 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 AAACharlotte Knights · 23 PAwOBA .423 → .326 (−96)K% 30.4% → 38.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.43%	÷0.952	×1.200	—	—	38.37%
BB% (unintentional) /PA	13.04%	÷1.008	×0.690	—	×0.992	8.86%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	38.46%	÷1.012	×0.930	—	×0.992	35.05%
Doubles /BIP	7.69%	÷0.958	×0.830	—	×0.992	6.61%
Triples /BIP	0.00%	÷1.077	×0.970	—	×0.992	0.00%
Home runs /BIP	7.69%	÷1.150	×0.840	—	×0.992	5.57%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 102, 2B 92, 3B 115, K 90, BB 102 — 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).

Result: wOBA .423 → .326; ISO .200 → .142; BABIP .500 → .441. 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 AAACharlotte Knights · 231 PAwOBA .315 → .285 (−29)K% 14.3% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.971	×1.200	—	—	17.65%
BB% (unintentional) /PA	9.52%	÷1.017	×0.690	—	×1.018	6.58%
HBP% /PA	1.73%	—	×0.940	—	×1.018	1.66%
Singles /BIP	22.70%	÷0.973	×0.930	×1.028	×1.018	22.71%
Doubles /BIP	4.29%	÷0.993	×0.830	×1.028	×1.018	3.76%
Triples /BIP	1.23%	÷1.150	×0.970	×1.028	×1.018	1.08%
Home runs /BIP	2.45%	÷1.306	×0.840	—	×1.018	1.61%

Factors used: league row IL. Park (home-season share, regressed): HR 161, 1B 95, 2B 99, 3B 130, K 94, BB 103 — 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 ×1.028.

Result: wOBA .315 → .285; ISO .117 → .094; BABIP .277 → .269. 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 AAACharlotte Knights · 325 PAwOBA .366 → .329 (−37)K% 15.4% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.38%	÷0.975	×1.200	—	—	18.93%
BB% (unintentional) /PA	8.31%	÷1.012	×0.690	—	×1.033	5.85%
HBP% /PA	0.31%	—	×0.940	—	×1.033	0.30%
Singles /BIP	25.41%	÷0.966	×0.930	×0.999	×1.033	25.26%
Doubles /BIP	6.56%	÷0.977	×0.830	×0.999	×1.033	5.75%
Triples /BIP	1.64%	÷0.910	×0.970	×0.999	×1.033	1.80%
Home runs /BIP	3.69%	÷1.118	×0.840	—	×1.033	2.86%

Factors used: league row IL. Park (home-season share, regressed): HR 124, 1B 93, 2B 95, 3B 82, K 95, BB 102 — 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 .366 → .329; ISO .173 → .149; BABIP .346 → .335. 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 AABirmingham Barons · 493 PAwOBA .284 → .243 (−41)K% 17.4% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.44%	÷0.926	×1.220	—	—	22.97%
BB% (unintentional) /PA	10.34%	÷1.001	×0.680	—	×1.012	7.11%
HBP% /PA	1.22%	—	×0.840	—	×1.012	1.03%
Singles /BIP	21.60%	÷0.990	×0.920	×1.013	×1.012	20.58%
Doubles /BIP	5.03%	÷1.096	×0.910	×1.013	×1.012	4.28%
Triples /BIP	0.59%	÷1.150	×0.880	×1.013	×1.012	0.46%
Home runs /BIP	1.48%	÷0.991	×0.800	—	×1.012	1.21%

Factors used: league row SL. Park (home-season share, regressed): HR 98, 1B 98, 2B 119, 3B 130, K 85, BB 100 — 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 ×1.013.

Result: wOBA .284 → .243; ISO .085 → .071; BABIP .271 → .252. 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 AABirmingham Barons · 509 PAwOBA .313 → .282 (−31)K% 17.9% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.88%	÷1.001	×1.220	—	—	21.79%
BB% (unintentional) /PA	14.73%	÷0.997	×0.680	—	×1.027	10.32%
HBP% /PA	1.57%	—	×0.840	—	×1.027	1.36%
Singles /BIP	23.24%	÷0.995	×0.920	×1.011	×1.027	22.31%
Doubles /BIP	4.59%	÷0.952	×0.910	×1.011	×1.027	4.55%
Triples /BIP	1.22%	÷0.910	×0.880	×1.011	×1.027	1.23%
Home runs /BIP	1.22%	÷0.823	×0.800	—	×1.027	1.22%

Factors used: league row SL. Park (home-season share, regressed): HR 65, 1B 99, 2B 90, 3B 82, K 100, BB 99 — 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 ×1.011.

Result: wOBA .313 → .282; ISO .084 → .086; BABIP .289 → .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).

2012 AAACharlotte Knights · 55 PAwOBA .253 → .221 (−32)K% 29.1% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.09%	÷1.020	×1.200	—	—	34.21%
BB% (unintentional) /PA	7.27%	÷1.047	×0.690	—	×1.050	5.03%
HBP% /PA	1.82%	—	×0.940	—	×1.050	1.79%
Singles /BIP	27.27%	÷1.009	×0.930	—	×1.050	26.39%
Doubles /BIP	6.06%	÷1.065	×0.830	—	×1.050	4.96%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.050	0.00%
Home runs /BIP	0.00%	÷0.866	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 102, 2B 113, 3B 80, K 104, BB 109 — 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 .253 → .221; ISO .041 → .033; BABIP .333 → .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).