Dioner Navarro

PosC

B/TS/R

Born1984-02-09

Age (2027)43

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
2016	32	MLBTOR	334	.207/.267/.322	6	1	64	-1.4
2018	34	INTLTiburones de …	82	.284/.338/.419	2	0	109	—
2019	35	AAACLE	115	.211/.342/.274	1	0	37	—	.167/.254/.216
2020	36	No MLB games played
2021	37	No MLB games played
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -1.4

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

xwOBA17

Barrel%10

Avg EV10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	21	MLB	Los Angeles Dodgers	—	199	176	48	9	0	3	20	21	2	0	0	273	354	375	729	102	296	11	10	331	108	+2	+0	+3	+9	+4	1.8
2005	21	AAA	Las Vegas 51s	—	286	241	64	12	0	6	38	24	2	2	2	266	370	390	760	124	271	8	13	341	86	—	—	—	—	—	—
2006	22	MLB	Tampa Bay Devil Rays	—	302	268	68	9	0	6	31	51	1	2	1	254	333	354	688	101	292	17	10	312	88	-4	+0	+5	+6	+7	1.3
2006	22	AAA	Las Vegas 51s	—	43	40	7	2	0	0	3	7	0	1	0	175	233	225	458	50	212	16	7	214	5	—	—	—	—	—	—
2007	23	MLB	Tampa Bay Devil Rays	—	434	388	88	19	2	9	33	67	1	3	1	227	289	356	645	129	249	15	8	282	74	-13	+0	+5	+8	+9	0.9
2008	24	MLB	Tampa Bay Rays	—	470	427	126	27	0	7	34	49	3	0	4	295	351	407	759	112	318	10	7	337	113	+7	-2	-13	+9	+10	1.2
2008	24	A+	Vero Beach Devil Rays	—	18	10	4	1	0	1	6	1	2	1	0	400	667	800	1.467	400	375	6	33	602	246	—	—	—	—	—	—
2009	25	MLB	Tampa Bay Rays	—	410	376	82	15	0	8	18	51	5	5	2	218	263	322	585	104	231	12	4	257	59	-20	+0	+13	+7	+9	1.0
2010	26	MLB	Tampa Bay Rays	—	142	124	24	5	0	1	12	20	1	0	1	194	270	258	528	65	223	14	8	239	47	-9	-0	+5	+6	+3	0.4
2010	26	AAA	Durham Bulls	—	169	141	40	9	0	2	23	25	2	3	0	284	392	390	782	106	328	15	14	352	86	—	—	—	—	—	—
2011	27	MLB	Los Angeles Dodgers	—	202	176	34	6	1	5	20	35	1	0	0	193	279	324	603	131	210	17	10	269	62	-9	+0	+2	+4	+4	0.1
2011	27	AA	Chattanooga Lookouts	—	17	14	2	0	0	0	3	1	0	2	0	143	294	143	437		154	6	18	230	7	—	—	—	—	—	—
2012	28	MLB	Cincinnati Reds	—	73	69	20	3	1	2	2	12	0	0	0	290	310	449	759	159	321	16	3	325	96	-0	+0	+3	+6	+2	1.0
2012	28	AAA	Louisville Bats	—	240	207	66	12	0	5	23	24	2	0	0	319	392	449	842	130	332	10	10	365	94	—	—	—	—	—	—
2013	29	MLB	Chicago Cubs	—	266	240	72	7	0	13	23	36	2	0	1	300	366	492	858	192	307	14	9	378	142	+13	-0	+4	+5	+6	2.8
2014	30	MLB	Toronto Blue Jays	—	520	481	132	22	0	12	32	76	1	3	0	274	321	395	716	121	301	15	6	317	99	-0	+1	-17	+9	+11	0.4
2015	31	MLB	Toronto Blue Jays	—	192	171	42	7	0	5	17	29	0	0	0	246	314	374	688	129	262	15	9	304	89	-2	+0	+2	+4	+4	0.7
2015	31	AAA	Buffalo Bisons	—	17	14	4	1	0	1	2	4	0	0	0	286	375	571	946	286	300	24	12	386	124	—	—	—	—	—	—
2016	32	MLB	Toronto Blue Jays	—	334	304	63	13	2	6	23	71	2	1	2	207	267	322	590	115	248	21	7	263	64	-14	-1	-12	+6	+7	-1.4
2018	34	INTL	Tiburones de La Guaira	—	82	74	21	4	0	2	6	14	0	0	0	284	338	419	756	135	317	17	7	330	109	—	—	—	—	—	—
2019	35	AAA	Columbus Clippers	—	115	95	20	3	0	1	18	21	1	0	0	211	342	274	616	63	257	18	16	293	37	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	3544	3200	799	142	6	77	265	518	19	14	12	250	311	370	681	120	274	15	7	302	91	-40	-2	-1	+77	+77	11.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	MLB MLE	Los Angeles Dodgers	—	199	177	48	9	0	3	19	21	2	0	0	271	348	373	721	102	296	11	10	327	108	+2	+0	+3	+9	+4	1.8
2005	21	AAA MLE	Las Vegas 51s	—	286	253	61	11	0	5	26	31	2	2	2	241	317	344	661	103	247	11	9	295	86	—	—	—	—	—	—
2006	22	MLB MLE	Tampa Bay Devil Rays	—	302	274	68	9	0	6	25	51	1	2	1	248	313	347	660	99	292	17	8	299	88	-4	+0	+5	+6	+7	1.3
2006	22	AAA MLE	Las Vegas 51s	—	43	41	7	2	0	0	2	9	0	1	0	171	209	220	429	49	195	21	5	176	5	—	—	—	—	—	—
2007	23	MLB MLE	Tampa Bay Devil Rays	—	434	391	88	19	2	9	30	67	1	3	1	225	282	353	635	128	249	15	7	278	74	-13	+0	+5	+8	+9	0.9
2008	24	MLB MLE	Tampa Bay Rays	—	470	428	126	27	0	7	33	49	3	0	4	294	349	407	756	112	318	10	7	336	113	+7	-2	-13	+9	+10	1.2
2008	24	A+ MLE	Vero Beach Devil Rays	—	18	12	4	1	0	1	4	1	2	1	0	333	556	667	1.222	333	340	6	22	532	246	—	—	—	—	—	—
2009	25	MLB MLE	Tampa Bay Rays	—	410	377	82	15	0	8	17	51	5	5	2	218	261	321	582	103	231	12	4	256	59	-20	+0	+13	+7	+9	1.0
2010	26	MLB MLE	Tampa Bay Rays	—	142	124	24	5	0	1	12	20	1	0	1	194	270	258	528	65	223	14	8	238	47	-9	-0	+5	+6	+3	0.4
2010	26	AAA MLE	Durham Bulls	—	169	148	38	8	0	2	16	31	2	3	0	257	337	351	689	95	292	18	9	296	86	—	—	—	—	—	—
2011	27	MLB MLE	Los Angeles Dodgers	—	202	180	34	6	1	5	16	35	1	0	0	189	259	317	576	128	210	17	8	260	62	-9	+0	+2	+4	+4	0.1
2011	27	AA MLE	Chattanooga Lookouts	—	17	15	2	0	0	0	2	1	0	2	0	133	235	133	369		134	6	12	178	7	—	—	—	—	—	—
2012	28	MLB MLE	Cincinnati Reds	—	73	70	20	3	1	2	1	12	0	0	0	286	296	443	739	157	321	16	1	310	96	-0	+0	+3	+6	+2	1.0
2012	28	AAA MLE	Louisville Bats	—	240	216	59	10	0	4	14	30	2	0	0	273	323	375	698	102	279	12	6	307	94	—	—	—	—	—	—
2013	29	MLB MLE	Chicago Cubs	—	266	241	73	7	0	14	22	36	2	0	1	303	366	506	872	203	307	14	8	378	142	+13	-0	+4	+5	+6	2.8
2014	30	MLB MLE	Toronto Blue Jays	—	520	482	132	22	0	12	31	76	1	3	0	274	319	394	713	120	301	15	6	315	99	-0	+1	-17	+9	+11	0.4
2015	31	MLB MLE	Toronto Blue Jays	—	192	172	42	7	0	5	16	29	0	0	0	244	309	372	681	128	262	15	8	300	89	-2	+0	+2	+4	+4	0.7
2015	31	AAA MLE	Buffalo Bisons	—	17	15	4	1	0	1	1	5	0	0	0	267	312	533	846	267	265	29	6	352	124	—	—	—	—	—	—
2016	32	MLB MLE	Toronto Blue Jays	—	334	304	63	13	2	6	23	71	2	1	2	207	267	322	590	115	248	21	7	263	64	-14	-1	-12	+6	+7	-1.4
2019	35	AAA MLE	Columbus Clippers	—	115	102	17	2	0	1	11	25	1	0	0	167	254	216	470	49	215	22	10	223	37	—	—	—	—	—	—
2005	21	AAA MLE	2 teams	—	485	430	109	20	0	8	45	52	4	2	2	253	330	356	686	102	271	11	9	308	95	—	—	—	—	—	—
2005	21	AAA RAW	2 teams	—	485	417	112	21	0	9	58	45	4	2	2	269	363	384	747	115	281	9	12	337	95	—	—	—	—	—	—
2006	22	MLB MLE	2 teams	—	345	315	75	11	0	6	27	60	1	3	1	238	300	330	630	92	276	17	8	283	78	-9	+0	+5	+6	+7	1.0
2006	22	MLB RAW	2 teams	—	345	308	75	11	0	6	34	58	1	3	1	244	321	338	658	94	282	17	10	300	78	-9	+0	+5	+6	+7	1.0
2007	23	MLB MLE	Tampa Bay Devil Rays	—	434	391	88	19	2	9	30	67	1	3	1	225	282	353	635	128	247	15	7	278	74	-13	+0	+5	+8	+9	0.9
2007	23	MLB RAW	Tampa Bay Devil Rays	—	434	388	88	19	2	9	33	67	1	3	1	227	289	356	645	129	249	15	8	282	74	-13	+0	+5	+8	+9	0.9
2008	24	MLB MLE	2 teams	—	488	440	130	28	0	8	37	50	5	1	4	295	357	414	770	118	317	10	8	343	118	+11	-1	-13	+9	+11	1.6
2008	24	MLB RAW	2 teams	—	488	437	130	28	0	8	40	50	5	1	4	297	363	416	780	119	319	10	8	347	118	+11	-1	-13	+9	+11	1.6
2009	25	MLB MLE	Tampa Bay Rays	—	410	377	82	15	0	8	17	51	5	5	2	218	261	321	582	103	231	12	4	256	59	-20	+0	+13	+7	+9	1.0
2009	25	MLB RAW	Tampa Bay Rays	—	410	376	82	15	0	8	18	51	5	5	2	218	263	322	585	104	231	12	4	257	59	-20	+0	+13	+7	+9	1.0
2010	26	AAA MLE	2 teams	—	311	272	61	13	0	3	28	51	3	3	1	224	304	305	609	81	264	16	9	269	69	—	—	—	—	—	—
2010	26	AAA RAW	2 teams	—	311	265	64	14	0	3	35	45	3	3	1	242	337	328	665	87	279	14	11	300	69	—	—	—	—	—	—
2011	27	MLB MLE	2 teams	—	219	195	36	6	1	5	18	36	1	2	0	185	257	303	560	118	199	16	8	254	58	-11	+0	+2	+4	+5	0.0
2011	27	MLB RAW	2 teams	—	219	190	36	6	1	5	23	36	1	2	0	189	280	311	591	121	205	16	11	266	58	-11	+0	+2	+4	+5	0.0
2012	28	AAA MLE	2 teams	—	313	286	79	13	1	6	15	42	2	0	0	276	317	392	708	115	298	13	5	308	94	—	—	—	—	—	—
2012	28	AAA RAW	2 teams	—	313	276	86	15	1	7	25	36	2	0	0	312	373	449	822	138	329	12	8	356	94	—	—	—	—	—	—
2013	29	MLB MLE	Chicago Cubs	—	266	241	73	7	0	14	22	36	2	0	1	303	366	506	872	203	307	14	8	378	142	+13	-0	+4	+5	+6	2.8
2013	29	MLB RAW	Chicago Cubs	—	266	240	72	7	0	13	23	36	2	0	1	300	366	492	858	192	307	14	9	378	142	+13	-0	+4	+5	+6	2.8
2014	30	MLB MLE	Toronto Blue Jays	—	520	482	132	22	0	12	31	76	1	3	0	274	319	394	713	120	300	15	6	315	99	-0	+1	-17	+9	+11	0.4
2014	30	MLB RAW	Toronto Blue Jays	—	520	481	132	22	0	12	32	76	1	3	0	274	321	395	716	121	301	15	6	317	99	-0	+1	-17	+9	+11	0.4
2015	31	MLB MLE	2 teams	—	209	187	46	8	0	6	17	34	0	0	0	246	309	385	694	139	263	16	8	304	92	-2	+0	+2	+4	+5	0.8
2015	31	MLB RAW	2 teams	—	209	185	46	8	0	6	19	33	0	0	0	249	319	389	708	141	265	16	9	311	92	-2	+0	+2	+4	+5	0.8
2016	32	MLB MLE	Toronto Blue Jays	—	334	304	63	13	2	6	23	71	2	1	2	207	267	322	590	115	248	21	7	263	64	-14	-1	-12	+6	+7	-1.4
2016	32	MLB RAW	Toronto Blue Jays	—	334	304	63	13	2	6	23	71	2	1	2	207	267	322	590	115	248	21	7	263	64	-14	-1	-12	+6	+7	-1.4
2018	34	INTL MLE	Tiburones de La Guaira	—	82	74	21	4	0	2	6	14	0	0	0	284	338	419	756	135	317	17	7	—	—	—	—	—	—	—	—
2018	34	INTL RAW	Tiburones de La Guaira	—	82	74	21	4	0	2	6	14	0	0	0	284	338	419	756	135	317	17	7	330	109	—	—	—	—	—	—
2019	35	AAA MLE	Columbus Clippers	—	115	102	17	2	0	1	11	25	1	0	0	167	254	216	470	49	208	22	10	223	37	—	—	—	—	—	—
2019	35	AAA RAW	Columbus Clippers	—	115	95	20	3	0	1	18	21	1	0	0	211	342	274	616	63	257	18	16	293	37	—	—	—	—	—	—
2005	21	AAA MLE	2 teams	—	485	433	109	20	0	8	45	52	4	2	2	252	330	353	683	102	267	11	9	308	95	—	—	—	—	—	—
2006	22	MLB MLE	2 teams	—	345	314	75	11	0	6	27	60	1	3	1	239	300	331	632	92	280	17	8	283	78	—	—	—	—	—	—
2007	23	MLB MLE	Tampa Bay Devil Rays	—	434	400	88	19	2	9	30	67	1	3	1	220	282	345	627	125	249	15	7	278	74	—	—	—	—	—	—
2008	24	MLB MLE	2 teams	—	488	443	130	28	0	8	37	50	5	1	4	293	357	411	768	117	319	10	8	343	118	—	—	—	—	—	—
2009	25	MLB MLE	Tampa Bay Rays	—	410	385	82	15	0	8	17	51	5	5	2	213	261	314	575	101	231	12	4	256	59	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	311	277	61	13	0	3	28	51	3	3	1	220	304	300	603	79	261	16	9	269	69	—	—	—	—	—	—
2011	27	MLB MLE	2 teams	—	219	198	36	6	1	5	18	36	1	2	0	182	257	298	555	116	204	16	8	254	58	—	—	—	—	—	—
2012	28	AAA MLE	2 teams	—	313	293	79	13	1	6	15	42	2	0	0	270	317	382	699	113	289	13	5	308	94	—	—	—	—	—	—
2013	29	MLB MLE	Chicago Cubs	—	266	240	73	7	0	14	22	36	2	0	1	304	366	508	874	204	307	14	8	378	142	—	—	—	—	—	—
2014	30	MLB MLE	Toronto Blue Jays	—	520	483	132	22	0	12	31	76	1	3	0	273	319	393	712	120	301	15	6	315	99	—	—	—	—	—	—
2015	31	MLB MLE	2 teams	—	209	190	46	8	0	6	17	34	0	0	0	242	309	379	688	137	263	16	8	304	92	—	—	—	—	—	—
2016	32	MLB MLE	Toronto Blue Jays	—	334	306	63	13	2	6	23	71	2	1	2	206	267	320	588	114	248	21	7	263	64	—	—	—	—	—	—
2019	35	AAA MLE	Columbus Clippers	—	115	102	17	2	0	1	11	25	1	0	0	167	254	216	470	49	215	22	10	223	37	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3544	3200	799	142	6	77	265	518	19	14	12	250	311	370	681	120	274	15	7	302	83	-40	-2	-1	+77	+77	11.4
/ 162G	—	A+C		—	650	587	146	26	1	14	49	95	3	3	2	249	310	368	678	119	273	15	8	302	83	-7	-0	-0	+14	+14	2.1
Career	—	MLE		—	4531	4096	1012	181	6	94	327	665	28	23	14	247	307	363	670	116	272	15	7	291	83	-40	-2	-1	+77	+77	11.4
/ 162G	—	MLE		—	650	588	145	26	1	13	47	95	4	3	2	247	307	361	667	114	272	15	7	291	83	-7	-0	-0	+14	+14	2.1

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 AAAColumbus Clippers · 115 PAwOBA .289 → .223 (−67)K% 18.3% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.26%	÷0.993	×1.200	—	—	22.07%
BB% (unintentional) /PA	15.65%	÷1.089	×0.690	—	×0.940	9.32%
HBP% /PA	0.87%	—	×0.940	—	×0.940	0.77%
Singles /BIP	21.62%	÷0.970	×0.930	×0.950	×0.940	18.52%
Doubles /BIP	4.05%	÷0.995	×0.830	×0.950	×0.940	3.02%
Triples /BIP	0.00%	÷0.900	×0.970	×0.950	×0.940	0.00%
Home runs /BIP	1.35%	÷0.985	×0.840	—	×0.940	1.08%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 94, 2B 99, 3B 80, K 99, BB 118 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .289 → .223; ISO .063 → .052; BABIP .257 → .215. 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 AAABuffalo Bisons · 17 PAwOBA .399 → .352 (−47)K% 23.5% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.008	×1.200	—	—	28.02%
BB% (unintentional) /PA	11.76%	÷1.040	×0.690	—	×0.962	7.51%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	20.00%	÷0.981	×0.930	—	×0.962	18.24%
Doubles /BIP	10.00%	÷0.944	×0.830	—	×0.962	8.46%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.962	0.00%
Home runs /BIP	10.00%	÷0.966	×0.840	—	×0.962	8.36%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .399 → .352; ISO .286 → .263; BABIP .300 → .265. 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 AAALouisville Bats · 240 PAwOBA .362 → .307 (−56)K% 10.0% → 12.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.967	×1.200	—	—	12.41%
BB% (unintentional) /PA	8.75%	÷1.034	×0.690	—	×0.992	5.79%
HBP% /PA	0.83%	—	×0.940	—	×0.992	0.78%
Singles /BIP	26.78%	÷1.046	×0.930	×0.973	×0.992	22.98%
Doubles /BIP	6.56%	÷1.002	×0.830	×0.973	×0.992	5.24%
Triples /BIP	0.00%	÷0.900	×0.970	×0.973	×0.992	0.00%
Home runs /BIP	2.73%	÷1.087	×0.840	—	×0.992	2.09%

Factors used: league row IL. Park (home-season share, regressed): HR 117, 1B 109, 2B 100, 3B 80, K 93, BB 107 — 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 ×0.973.

Result: wOBA .362 → .307; ISO .130 → .108; BABIP .332 → .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).

2011 AAChattanooga Lookouts · 17 PAwOBA .225 → .178 (−47)K% 5.9% → 7.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.88%	÷1.024	×1.220	—	—	7.01%
BB% (unintentional) /PA	17.65%	÷0.981	×0.680	—	×0.978	11.96%
HBP% /PA	0.00%	—	×0.840	—	×0.978	0.00%
Singles /BIP	15.38%	÷1.036	×0.920	—	×0.978	13.37%
Doubles /BIP	0.00%	÷1.062	×0.910	—	×0.978	0.00%
Triples /BIP	0.00%	÷1.150	×0.880	—	×0.978	0.00%
Home runs /BIP	0.00%	÷1.043	×0.800	—	×0.978	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 109, 1B 107, 2B 112, 3B 130, K 105, BB 96 — 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).

Result: wOBA .225 → .178; ISO .000 → .000; BABIP .154 → .134. 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 AAADurham Bulls · 169 PAwOBA .346 → .296 (−50)K% 14.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.79%	÷0.971	×1.200	—	—	18.29%
BB% (unintentional) /PA	13.02%	÷0.999	×0.690	—	×1.018	9.16%
HBP% /PA	1.18%	—	×0.940	—	×1.018	1.13%
Singles /BIP	25.00%	÷1.037	×0.930	×1.002	×1.018	22.88%
Doubles /BIP	7.76%	÷1.026	×0.830	×1.002	×1.018	6.40%
Triples /BIP	0.00%	÷1.150	×0.970	×1.002	×1.018	0.00%
Home runs /BIP	1.72%	÷1.151	×0.840	—	×1.018	1.28%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 107, 2B 105, 3B 130, K 94, BB 100 — 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 ×1.002.

Result: wOBA .346 → .296; ISO .106 → .088; BABIP .328 → .292. 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 · 18 PAwOBA .589 → .532 (−57)K% 5.6% → 7.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.56%	÷1.000	×1.420	—	—	7.89%
BB% (unintentional) /PA	33.33%	÷1.000	×0.750	—	×0.988	24.70%
HBP% /PA	11.11%	—	×0.930	—	×0.988	10.21%
Singles /BIP	22.22%	÷1.000	×0.920	—	×0.988	20.20%
Doubles /BIP	11.11%	÷1.000	×0.960	—	×0.988	10.54%
Triples /BIP	0.00%	÷1.000	×0.810	—	×0.988	0.00%
Home runs /BIP	11.11%	÷1.000	×0.880	—	×0.988	9.66%

Factors used: league row FSL. 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).

Result: wOBA .589 → .532; ISO .400 → .407; BABIP .375 → .340. 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 AAALas Vegas 51s · 43 PAwOBA .208 → .176 (−32)K% 16.3% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.28%	÷1.000	×1.290	—	—	21.00%
BB% (unintentional) /PA	6.98%	÷1.000	×0.710	—	×1.050	5.20%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	15.15%	÷1.000	×0.900	—	×1.050	14.32%
Doubles /BIP	6.06%	÷1.000	×0.810	—	×1.050	5.15%
Triples /BIP	0.00%	÷1.000	×0.810	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×1.050	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 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .208 → .176; ISO .050 → .041; BABIP .212 → .195. 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 AAALas Vegas 51s · 286 PAwOBA .332 → .295 (−38)K% 8.4% → 10.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.39%	÷1.000	×1.290	—	—	10.83%
BB% (unintentional) /PA	12.24%	÷1.000	×0.710	—	×1.050	9.12%
HBP% /PA	0.70%	—	×0.980	—	×1.050	0.72%
Singles /BIP	21.20%	÷1.000	×0.900	×0.989	×1.050	19.82%
Doubles /BIP	5.53%	÷1.000	×0.810	×0.989	×1.050	4.65%
Triples /BIP	0.00%	÷1.000	×0.810	×0.989	×1.050	0.00%
Home runs /BIP	2.76%	÷1.000	×0.780	—	×1.050	2.26%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .332 → .295; ISO .124 → .108; BABIP .271 → .247. 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 — .