Eliezer Alfonzo

PosC

B/TR/R

Born1979-02-07

Age (2027)48

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	36	INTLBravos de Mar…	231	.291/.322/.414	6	0	107	—
2016	37	AAA/INTL2 orgs	419	.341/.376/.588	25	2	104	—	.271/.296/.445
2018	39	INTLBravos de Mar…	19	.333/.368/.500	1	0	146	—

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. 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	26	AAA	Fresno Grizzlies	—	16	14	4	1	0	1	1	2	1	0	0	286	375	571	946	286	273	12	6	413	112	—	—	—	—	—	—
2005	26	AA	Norwich Navigators	—	189	176	55	9	0	9	8	39	4	1	0	312	356	517	873	205	357	21	4	382	99	—	—	—	—	—	—
2005	26	A+	San Jose Giants	—	217	196	70	16	0	13	11	49	8	1	3	357	414	638	1.052	281	419	23	5	453	126	—	—	—	—	—	—
2006	27	MLB	San Francisco Giants	—	309	286	76	17	2	12	9	74	7	1	0	266	305	465	770	199	315	24	3	331	99	-0	+0	+6	+8	+7	2.1
2006	27	AAA	Fresno Grizzlies	—	87	74	14	0	1	2	4	18	6	0	0	189	286	297	583	108	218	21	5	264	40	—	—	—	—	—	—
2006	27	AA	Connecticut Defenders	—	74	65	18	3	0	0	7	16	1	1	0	277	356	323	679	46	360	22	9	311	70	—	—	—	—	—	—
2007	28	MLB	San Francisco Giants	—	67	64	16	2	1	1	2	23	1	0	2	250	284	359	643	109	375	34	3	287	67	-3	-1	+2	+3	+1	0.3
2007	28	AAA	Fresno Grizzlies	—	66	64	19	6	0	3	1	8	0	0	0	297	308	531	839	234	302	12	2	359	76	—	—	—	—	—	—
2007	28	ROK	AZL Giants	—	15	13	6	0	0	0	0	1	1	0	0	462	500	462	962		462	7	0	411	121	—	—	—	—	—	—
2008	29	AAA	Fresno Grizzlies	—	125	116	37	10	1	5	7	30	1	1	0	319	363	552	915	233	390	24	6	396	84	—	—	—	—	—	—
2008	29	AA	Connecticut Defenders	—	84	80	29	7	0	2	2	18	2	0	0	362	393	525	918	163	450	21	2	406	99	—	—	—	—	—	—
2008	29	A	Augusta GreenJackets	—	18	16	3	1	0	1	1	5	0	0	0	188	235	438	673	250	182	28	6	276	28	—	—	—	—	—	—
2009	30	MLB	San Diego Padres	—	117	114	20	3	0	2	3	34	0	0	0	175	197	254	451	79	231	29	3	202	23	-11	+0	+1	+6	+3	-0.1
2009	30	AAA	Portland Beavers	—	219	204	63	11	0	14	7	51	4	1	0	309	344	569	913	260	345	23	3	390	86	—	—	—	—	—	—
2010	31	MLB	Seattle Mariners	—	41	41	9	1	0	1	0	10	0	0	0	220	220	317	537	98	267	24	0	237	48	-3	+0	-1	+8	+1	0.6
2010	31	AAA	Tacoma Rainiers	—	188	174	44	9	2	9	8	48	4	0	1	253	301	483	784	230	294	26	4	339	50	—	—	—	—	—	—
2010	31	INTL	Venezuela	—	234	207	47	9	0	10	14	47	10	0	0	227	307	415	723	188	242	20	6	320	103	—	—	—	—	—	—
2011	32	MLB	Colorado Rockies	—	79	75	20	1	0	1	3	13	1	0	0	267	304	320	624	53	311	16	4	285	72	-3	+0	+2	+6	+2	0.7
2011	32	AAA	Colorado Springs Sky Sox	—	101	94	30	7	0	12	2	16	3	2	1	319	354	777	1.130	457	265	16	2	470	119	—	—	—	—	—	—
2011	32	INTL	Caribes de Anzoategui	—	164	153	37	6	0	6	8	31	2	0	3	242	288	399	687	157	265	19	5	304	92	—	—	—	—	—	—
2012	33	AAA	Diablos Rojos del Mexico	—	154	144	52	9	0	15	4	34	4	0	0	361	395	736	1.131	375	381	22	3	479	119	—	—	—	—	—	—
2012	33	INTL	Navegantes del Magallanes	—	256	245	72	12	0	16	6	57	5	0	0	294	324	539	863	245	326	22	2	376	141	—	—	—	—	—	—
2013	34	AAA	Albuquerque Isotopes	—	322	302	107	19	0	24	10	51	6	1	0	354	387	656	1.042	301	359	16	3	446	107	—	—	—	—	—	—
2013	34	INTL	Venezuela	—	167	163	40	4	0	10	2	51	2	0	0	245	263	454	717	209	294	31	1	313	98	—	—	—	—	—	—
2014	35	AAA	Guerreros de Oaxaca	—	319	301	88	12	0	16	12	73	6	0	1	292	332	492	824	199	340	23	4	363	46	—	—	—	—	—	—
2014	35	INTL	Bravos de Margarita	—	223	203	49	5	0	8	10	47	7	0	0	241	300	384	684	143	272	21	4	304	92	—	—	—	—	—	—
2015	36	INTL	Bravos de Margarita	—	231	220	64	9	0	6	8	42	2	0	0	291	322	414	735	123	335	18	3	327	107	—	—	—	—	—	—
2016	37	AAA	Saraperos de Saltillo	—	355	331	116	20	0	23	15	64	5	2	0	350	387	619	1.007	269	375	18	4	433	104	—	—	—	—	—	—
2016	37	INTL	Bravos de Margarita	—	64	62	18	2	0	2	2	20	0	0	0	290	312	419	732	129	400	31	3	325	106	—	—	—	—	—	—
2018	39	INTL	Bravos de Margarita	—	19	18	6	0	0	1	1	4	0	0	0	333	368	500	868	167	385	21	5	384	146	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	613	580	141	24	3	17	17	154	9	1	2	243	276	383	658	140	301	25	3	289	82	-13	-1	+10	+31	+13	4.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	26	AAA MLE	Fresno Grizzlies	—	16	14	4	1	0	1	1	3	1	0	0	286	375	571	946	286	237	19	6	334	112	—	—	—	—	—	—
2005	26	AA MLE	Norwich Navigators	—	189	180	49	7	0	7	4	48	4	1	0	272	303	428	731	156	329	25	2	315	99	—	—	—	—	—	—
2005	26	A+ MLE	San Jose Giants	—	217	199	57	12	0	11	8	66	8	1	3	286	340	513	852	226	357	30	4	355	126	—	—	—	—	—	—
2006	27	MLB MLE	San Francisco Giants	—	309	293	76	17	2	12	2	74	7	1	0	259	281	454	735	195	315	24	1	315	99	-0	+0	+6	+8	+7	2.1
2006	27	AAA MLE	Fresno Grizzlies	—	87	75	13	0	1	2	3	23	6	0	0	173	262	280	542	107	203	26	3	228	40	—	—	—	—	—	—
2006	27	AA MLE	Connecticut Defenders	—	74	67	17	3	0	0	5	20	1	1	0	254	315	299	614	45	340	27	7	271	70	—	—	—	—	—	—
2007	28	MLB MLE	San Francisco Giants	—	67	66	16	2	1	1	0	23	1	0	2	242	254	348	602	106	375	34	0	267	67	-3	-1	+2	+3	+1	0.3
2007	28	AAA MLE	Fresno Grizzlies	—	66	64	16	5	0	2	1	10	0	0	0	250	262	422	683	172	253	15	2	280	76	—	—	—	—	—	—
2007	28	ROK MLE	AZL Giants	—	15	13	5	0	0	0	0	1	1	0	0	385	429	385	813		358	7	0	347	121	—	—	—	—	—	—
2008	29	AAA MLE	Fresno Grizzlies	—	125	119	29	7	1	4	4	39	1	1	0	244	274	420	694	176	319	31	3	293	84	—	—	—	—	—	—
2008	29	AA MLE	Connecticut Defenders	—	84	81	23	5	0	1	1	22	2	0	0	284	310	383	692	99	384	26	1	315	99	—	—	—	—	—	—
2008	29	A MLE	Augusta GreenJackets	—	18	17	3	1	0	1	0	7	0	0	0	176	176	412	588	235	146	39	0	210	28	—	—	—	—	—	—
2009	30	MLB MLE	San Diego Padres	—	117	114	20	3	0	2	3	34	0	0	0	175	197	254	451	79	231	29	3	202	23	-11	+0	+1	+6	+3	-0.1
2009	30	AAA MLE	Portland Beavers	—	219	207	49	8	0	10	4	66	4	1	0	237	265	420	685	184	285	30	2	295	86	—	—	—	—	—	—
2010	31	MLB MLE	Seattle Mariners	—	41	41	9	1	0	1	0	10	0	0	0	220	220	317	537	98	267	24	0	239	48	-3	+0	-1	+8	+1	0.6
2010	31	AAA MLE	Tacoma Rainiers	—	188	176	33	6	2	6	6	61	4	0	1	188	231	347	578	159	230	32	3	242	50	—	—	—	—	—	—
2011	32	MLB MLE	Colorado Rockies	—	79	75	19	1	0	1	3	13	1	0	0	253	291	307	598	53	311	16	4	275	72	-3	+0	+2	+6	+2	0.7
2011	32	AAA MLE	Colorado Springs Sky Sox	—	101	95	22	5	0	8	1	22	3	2	1	232	263	537	799	305	209	22	1	344	119	—	—	—	—	—	—
2012	33	AAA MLE	Diablos Rojos del Mexico	—	154	147	40	7	0	9	1	41	4	0	0	272	296	503	799	231	309	27	1	344	119	—	—	—	—	—	—
2013	34	AAA MLE	Albuquerque Isotopes	—	322	307	82	13	0	17	5	70	6	1	0	267	292	476	768	208	284	22	2	326	107	—	—	—	—	—	—
2014	35	AAA MLE	Guerreros de Oaxaca	—	319	306	63	8	0	8	7	93	6	0	1	206	238	310	549	105	267	29	2	236	46	—	—	—	—	—	—
2016	37	AAA MLE	Saraperos de Saltillo	—	355	339	92	14	0	15	7	81	5	2	0	271	296	445	742	174	307	23	2	322	104	—	—	—	—	—	—
2005	26	A+ MLE	3 teams	—	422	394	108	20	0	18	12	116	13	2	3	274	317	462	779	188	342	27	3	336	114	—	—	—	—	—	—
2005	26	A+ RAW	3 teams	—	422	386	129	26	0	23	20	90	13	2	3	334	387	580	967	246	384	21	5	420	114	—	—	—	—	—	—
2006	27	MLB MLE	3 teams	—	470	435	107	20	3	14	10	117	14	2	0	246	285	402	688	156	301	25	2	292	84	-9	+0	+6	+8	+10	1.6
2006	27	MLB RAW	3 teams	—	470	425	108	20	3	14	20	108	14	2	0	254	309	414	723	160	305	23	4	315	84	-9	+0	+6	+8	+10	1.6
2007	28	MLB MLE	3 teams	—	148	143	37	7	1	3	1	35	2	0	2	259	274	385	659	126	321	24	1	281	76	-4	-1	+2	+3	+3	0.3
2007	28	MLB RAW	3 teams	—	148	141	41	8	1	4	3	32	2	0	2	291	315	447	762	156	349	22	2	332	76	-4	-1	+2	+3	+3	0.3
2008	29	AAA MLE	3 teams	—	227	217	55	13	1	6	5	67	3	1	0	253	280	406	686	152	336	30	2	295	85	—	—	—	—	—	—
2008	29	AAA RAW	3 teams	—	227	212	69	18	1	8	10	53	3	1	0	325	364	533	897	208	399	23	4	390	85	—	—	—	—	—	—
2009	30	AAA MLE	2 teams	—	336	321	69	11	0	12	7	100	4	1	0	215	241	361	602	146	269	30	2	263	64	—	—	—	—	—	—
2009	30	AAA RAW	2 teams	—	336	318	83	14	0	16	10	85	4	1	0	261	292	456	748	195	305	25	3	325	64	—	—	—	—	—	—
2010	31	INTL MLE	3 teams	—	463	433	83	14	3	14	11	144	14	0	1	192	236	335	571	143	246	31	2	241	50	—	—	—	—	—	—
2010	31	INTL RAW	3 teams	—	463	422	100	19	2	20	22	105	14	0	1	237	297	434	731	197	265	23	5	320	50	—	—	—	—	—	—
2011	32	INTL MLE	3 teams	—	344	327	81	12	0	18	8	68	6	2	4	248	279	450	728	202	258	20	2	314	99	—	—	—	—	—	—
2011	32	INTL RAW	3 teams	—	344	322	87	14	0	19	13	60	6	2	4	270	311	491	802	220	276	17	4	348	99	—	—	—	—	—	—
2012	33	INTL MLE	2 teams	—	410	396	108	19	0	24	3	108	9	0	0	273	294	503	797	230	316	26	1	344	119	—	—	—	—	—	—
2012	33	INTL RAW	2 teams	—	410	389	124	21	0	31	10	91	9	0	0	319	350	612	962	293	346	22	2	415	119	—	—	—	—	—	—
2013	34	AAA MLE	2 teams	—	489	469	124	20	0	26	8	107	8	1	0	264	289	473	762	209	288	22	2	326	107	—	—	—	—	—	—
2013	34	AAA RAW	2 teams	—	489	465	147	23	0	34	12	102	8	1	0	316	344	585	929	269	339	21	2	401	107	—	—	—	—	—	—
2014	35	AAA MLE	2 teams	—	542	514	107	13	0	13	12	157	13	0	1	208	245	309	554	101	271	29	2	236	46	—	—	—	—	—	—
2014	35	AAA RAW	2 teams	—	542	504	137	17	0	24	22	120	13	0	1	272	319	448	768	177	311	22	4	339	46	—	—	—	—	—	—
2015	36	INTL MLE	Bravos de Margarita	—	231	220	64	9	0	6	8	42	2	0	0	291	322	414	735	123	335	18	3	—	—	—	—	—	—	—	—
2015	36	INTL RAW	Bravos de Margarita	—	231	220	64	9	0	6	8	42	2	0	0	291	322	414	735	123	335	18	3	327	107	—	—	—	—	—	—
2016	37	AAA MLE	2 teams	—	419	401	109	16	0	18	9	96	5	2	0	272	296	446	743	175	313	23	2	322	104	—	—	—	—	—	—
2016	37	AAA RAW	2 teams	—	419	393	134	22	0	25	17	84	5	2	0	341	376	588	964	247	378	20	4	417	104	—	—	—	—	—	—
2018	39	INTL MLE	Bravos de Margarita	—	19	18	6	0	0	1	1	4	0	0	0	333	368	500	868	167	385	21	5	—	—	—	—	—	—	—	—
2018	39	INTL RAW	Bravos de Margarita	—	19	18	6	0	0	1	1	4	0	0	0	333	368	500	868	167	385	21	5	384	146	—	—	—	—	—	—
2005	26	A+ MLE	3 teams	—	422	394	108	20	0	18	12	116	13	2	3	274	317	462	779	188	340	27	3	336	114	—	—	—	—	—	—
2006	27	MLB MLE	3 teams	—	470	443	107	20	3	14	10	117	14	2	0	242	285	395	680	153	298	25	2	292	84	—	—	—	—	—	—
2007	28	MLB MLE	3 teams	—	148	144	37	7	1	3	1	35	2	0	2	257	274	382	656	125	319	24	1	281	76	—	—	—	—	—	—
2008	29	AAA MLE	3 teams	—	227	217	55	13	1	6	5	67	3	1	0	253	280	406	686	152	329	30	2	295	85	—	—	—	—	—	—
2009	30	AAA MLE	2 teams	—	336	322	69	11	0	12	7	100	4	1	0	214	241	360	601	146	266	30	2	263	64	—	—	—	—	—	—
2010	31	INTL MLE	3 teams	—	463	435	83	14	3	14	11	144	14	0	1	191	236	333	569	143	237	31	2	241	50	—	—	—	—	—	—
2011	32	INTL MLE	3 teams	—	344	327	81	12	0	18	8	68	6	2	4	248	279	450	728	202	254	20	2	314	99	—	—	—	—	—	—
2012	33	INTL MLE	2 teams	—	410	395	108	19	0	24	3	108	9	0	0	273	294	504	798	230	309	26	1	344	119	—	—	—	—	—	—
2013	34	AAA MLE	2 teams	—	489	470	124	20	0	26	8	107	8	1	0	264	289	472	761	209	284	22	2	326	107	—	—	—	—	—	—
2014	35	AAA MLE	2 teams	—	542	512	107	13	0	13	12	157	13	0	1	209	245	311	555	102	267	29	2	236	46	—	—	—	—	—	—
2016	37	AAA MLE	2 teams	—	419	402	109	16	0	18	9	96	5	2	0	271	296	445	742	174	307	23	2	322	104	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	613	580	141	24	3	17	17	154	9	1	2	243	276	383	658	140	301	25	3	289	75	-13	-1	+10	+31	+13	4.2
/ 162G	—	A+C		—	650	615	149	25	3	18	18	163	10	1	2	242	275	380	656	138	300	25	3	289	75	-14	-1	+11	+33	+14	4.4
Career	—	MLE		—	4520	4288	1058	174	8	173	95	1161	93	11	11	247	278	412	690	165	296	26	2	279	75	-13	-1	+10	+31	+13	4.2
/ 162G	—	MLE		—	650	617	152	25	1	25	14	167	13	2	2	246	278	412	690	165	295	26	2	279	75	-14	-1	+11	+33	+14	4.4

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 AAASaraperos de Saltillo · 355 PAwOBA .423 → .322 (−101)K% 18.0% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.03%	÷0.948	×1.200	—	—	22.81%
BB% (unintentional) /PA	3.38%	÷1.047	×0.690	—	×0.940	2.09%
HBP% /PA	1.41%	—	×0.940	—	×0.940	1.24%
Singles /BIP	27.34%	÷1.007	×0.930	×1.020	×0.940	24.22%
Doubles /BIP	7.49%	÷1.154	×0.830	×1.020	×0.940	5.17%
Triples /BIP	0.00%	÷1.059	×0.920	×1.020	×0.940	0.00%
Home runs /BIP	8.61%	÷0.966	×0.700	—	×0.940	5.87%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 101, 2B 131, 3B 112, K 90, BB 109 — applied at half strength. Age: age 37 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (9.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.

Result: wOBA .423 → .322; ISO .269 → .180; BABIP .375 → .307. 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 AAAGuerreros de Oaxaca · 319 PAwOBA .352 → .236 (−116)K% 22.9% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.88%	÷0.948	×1.200	—	—	28.96%
BB% (unintentional) /PA	3.76%	÷1.120	×0.690	—	×0.940	2.18%
HBP% /PA	1.88%	—	×0.940	—	×0.940	1.66%
Singles /BIP	26.32%	÷1.067	×0.930	×1.026	×0.940	22.11%
Doubles /BIP	5.26%	÷1.167	×0.830	×1.026	×0.940	3.61%
Triples /BIP	0.00%	÷1.150	×0.920	×1.026	×0.940	0.00%
Home runs /BIP	7.02%	÷1.287	×0.700	—	×0.940	3.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 113, 2B 133, 3B 130, K 90, BB 124 — 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 ×1.026.

Result: wOBA .352 → .236; ISO .199 → .102; BABIP .340 → .267. 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 AAAAlbuquerque Isotopes · 322 PAwOBA .437 → .326 (−111)K% 15.8% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.84%	÷0.938	×1.290	—	—	21.78%
BB% (unintentional) /PA	2.80%	÷1.071	×0.710	—	×0.940	1.74%
HBP% /PA	1.86%	—	×0.980	—	×0.940	1.72%
Singles /BIP	25.50%	÷1.029	×0.900	×1.023	×0.940	21.44%
Doubles /BIP	7.57%	÷1.082	×0.810	×1.023	×0.940	5.45%
Triples /BIP	0.00%	÷1.150	×0.810	×1.023	×0.940	0.00%
Home runs /BIP	9.56%	÷1.004	×0.780	—	×0.940	6.98%

Factors used: league row PCL. Park (home-season share, regressed): HR 101, 1B 106, 2B 116, 3B 130, K 88, BB 114 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .437 → .326; ISO .301 → .210; BABIP .359 → .284. 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 AAADiablos Rojos del Mexico · 154 PAwOBA .468 → .344 (−123)K% 22.1% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.08%	÷1.007	×1.200	—	—	26.30%
BB% (unintentional) /PA	1.30%	÷1.035	×0.690	—	×0.942	0.82%
HBP% /PA	2.60%	—	×0.940	—	×0.942	2.30%
Singles /BIP	25.45%	÷1.048	×0.930	×1.050	×0.942	22.33%
Doubles /BIP	8.18%	÷1.026	×0.830	×1.050	×0.942	6.55%
Triples /BIP	0.00%	÷1.150	×0.920	×1.050	×0.942	0.00%
Home runs /BIP	13.64%	÷1.088	×0.700	—	×0.942	8.26%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 110, 2B 105, 3B 130, K 102, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .468 → .344; ISO .375 → .237; BABIP .381 → .309. 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 AAAColorado Springs Sky Sox · 101 PAwOBA .465 → .344 (−121)K% 15.8% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.84%	÷0.925	×1.290	—	—	22.10%
BB% (unintentional) /PA	1.98%	÷0.972	×0.710	—	×0.952	1.38%
HBP% /PA	2.97%	—	×0.980	—	×0.952	2.77%
Singles /BIP	14.10%	÷1.016	×0.900	×1.017	×0.952	12.09%
Doubles /BIP	8.97%	÷0.992	×0.810	×1.017	×0.952	7.09%
Triples /BIP	0.00%	÷1.150	×0.810	×1.017	×0.952	0.00%
Home runs /BIP	15.38%	÷1.029	×0.780	—	×0.952	11.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 103, 2B 98, 3B 130, K 85, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .465 → .344; ISO .457 → .320; BABIP .265 → .209. 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 AAATacoma Rainiers · 188 PAwOBA .333 → .242 (−91)K% 25.5% → 32.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.53%	÷1.012	×1.290	—	—	32.56%
BB% (unintentional) /PA	4.26%	÷0.968	×0.710	—	×0.962	3.00%
HBP% /PA	2.13%	—	×0.980	—	×0.962	2.01%
Singles /BIP	19.05%	÷1.034	×0.900	×0.989	×0.962	15.77%
Doubles /BIP	7.14%	÷1.086	×0.810	×0.989	×0.962	5.07%
Triples /BIP	1.59%	÷0.934	×0.810	×0.989	×0.962	1.31%
Home runs /BIP	7.14%	÷1.031	×0.780	—	×0.962	5.20%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 107, 2B 117, 3B 87, K 102, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .333 → .242; ISO .230 → .157; BABIP .294 → .230. 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).

2009 AAAPortland Beavers · 219 PAwOBA .381 → .295 (−86)K% 23.3% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.29%	÷1.000	×1.290	—	—	30.04%
BB% (unintentional) /PA	2.28%	÷1.000	×0.710	—	×0.972	1.58%
HBP% /PA	1.83%	—	×0.980	—	×0.972	1.74%
Singles /BIP	24.84%	÷1.000	×0.900	×0.990	×0.972	21.50%
Doubles /BIP	7.19%	÷1.000	×0.810	×0.990	×0.972	5.60%
Triples /BIP	0.00%	÷1.000	×0.810	×0.990	×0.972	0.00%
Home runs /BIP	9.15%	÷1.000	×0.780	—	×0.972	6.94%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.990.

Result: wOBA .381 → .295; ISO .260 → .189; BABIP .345 → .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).

2008 AAAFresno Grizzlies · 125 PAwOBA .385 → .293 (−92)K% 24.0% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷1.000	×1.290	—	—	30.96%
BB% (unintentional) /PA	4.80%	÷1.000	×0.710	—	×0.982	3.35%
HBP% /PA	0.80%	—	×0.980	—	×0.982	0.77%
Singles /BIP	24.42%	÷1.000	×0.900	×0.973	×0.982	20.99%
Doubles /BIP	11.63%	÷1.000	×0.810	×0.973	×0.982	9.00%
Triples /BIP	1.16%	÷1.000	×0.810	×0.973	×0.982	0.90%
Home runs /BIP	5.81%	÷1.000	×0.780	—	×0.982	4.45%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.973.

Result: wOBA .385 → .293; ISO .233 → .169; BABIP .390 → .319. 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 — .