Rubén Tejada

PosSS

B/TR/R

Born1989-10-27

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	wRC+	WAR
2022	32	INTLGigantes del …	20	.200/.200/.300	34	—
2023	33	INTLPanama	31	.296/.387/.370	122	—
2024	34	INTLSenadores de …	25	.174/.208/.174	4	—

Contract

No contract data on file.

Skills · percentileStatcast 2016-2019

Speed30

xwOBA24

Barrel%10

Avg EV10

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	17	ROK	GCL Mets	—	299	241	78	9	3	3	38	35	12	18	6	324	438	423	862	100	362	12	13	385	89	—	—	—	—	—	—
2008	18	A+	St. Lucie Mets	—	555	497	114	19	4	2	41	77	5	8	5	229	295	296	590	66	265	14	7	266	48	—	—	—	—	—	—
2009	19	AA	Binghamton Mets	—	553	488	141	24	3	5	37	59	11	19	3	289	353	381	734	92	319	11	7	323	93	—	—	—	—	—	—
2010	20	MLB	New York Mets	—	255	216	46	12	0	1	22	38	8	2	2	213	309	282	591	69	250	15	9	269	67	-10	-0	-2	+2	+6	-0.5
2010	20	AAA	Buffalo Bisons	—	244	218	61	11	0	1	14	36	3	1	3	280	332	344	676	64	328	15	6	297	75	—	—	—	—	—	—
2011	21	MLB	New York Mets	—	376	328	93	15	1	0	35	50	6	5	1	284	363	335	699	52	331	13	9	318	103	+1	+1	+4	+2	+8	1.6
2011	21	AAA	Buffalo Bisons	—	231	207	51	7	3	3	19	30	2	4	2	246	316	353	668	106	274	13	8	300	67	—	—	—	—	—	—
2012	22	MLB	New York Mets	—	501	464	134	26	0	1	27	73	5	4	4	289	335	351	686	62	339	15	5	309	101	+1	-1	+6	+6	+11	2.3
2012	22	AAA	Buffalo Bisons	—	21	20	4	1	0	0	1	3	0	0	0	200	238	250	488	50	235	14	5	224	19	—	—	—	—	—	—
2013	23	MLB	New York Mets	—	227	208	42	12	0	0	15	24	1	2	1	202	259	260	519	58	228	11	7	237	51	-13	+0	+3	+5	+5	-0.0
2013	23	AAA	Las Vegas 51s	—	269	240	69	14	1	2	14	30	6	1	1	287	342	379	721	92	316	11	5	316	68	—	—	—	—	—	—
2014	24	MLB	New York Mets	—	419	355	84	11	0	5	50	73	8	1	2	237	344	310	654	73	283	17	12	303	83	-9	-1	+9	+4	+9	1.4
2015	25	MLB	New York Mets	—	407	360	94	23	0	3	38	70	5	2	1	261	340	350	690	89	315	17	9	313	98	-1	+0	+1	+4	+9	1.3
2016	26	MLB	San Francisco Giants	—	78	66	11	5	0	0	7	13	1	0	0	167	257	242	499	76	196	17	9	224	38	-6	+0	-0	+1	+2	-0.4
2016	26	AAA	Sacramento River Cats	—	155	143	43	11	1	1	7	21	2	0	1	301	342	413	755	112	341	14	5	331	73	—	—	—	—	—	—
2017	27	MLB	Baltimore Orioles	—	124	113	26	6	0	0	8	15	2	0	0	230	293	283	576	53	265	12	6	265	65	-5	+0	+1	+3	+3	0.2
2017	27	AAA	Norfolk Tides	—	199	175	49	10	0	6	19	21	3	0	2	280	360	440	800	160	287	11	10	355	93	—	—	—	—	—	—
2018	28	AAA	Norfolk Tides	—	392	352	81	18	0	2	24	69	8	5	0	230	294	298	593	68	277	18	6	268	37	—	—	—	—	—	—
2019	29	AAA	Syracuse Mets	—	314	276	90	20	1	6	30	53	7	3	3	326	406	471	877	145	385	17	10	391	91	—	—	—	—	—	—
2021	31	AAA	Charlotte Knights	—	294	253	59	5	1	1	34	58	6	1	3	233	338	273	611	40	297	20	12	290	42	—	—	—	—	—	—
2022	32	INTL	Gigantes del Cibao	—	20	20	4	2	0	0	0	3	0	0	0	200	200	300	500	100	235	15	0	219	34	—	—	—	—	—	—
2023	33	INTL	Panama	—	31	27	8	2	0	0	3	3	1	0	0	296	387	370	757	74	333	10	10	349	122	—	—	—	—	—	—
2024	34	INTL	Senadores de San Juan	—	25	23	4	0	0	0	0	1	1	0	0	174	208	174	382		174	4	0	174	4	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2387	2110	530	110	1	10	202	356	36	16	11	251	327	318	646	67	296	15	8	294	85	-43	-1	+22	+28	+52	5.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	17	ROK MLE	GCL Mets	—	299	256	67	7	2	3	24	51	12	18	6	262	353	340	693	78	295	17	8	300	89	—	—	—	—	—	—
2008	18	A+ MLE	St. Lucie Mets	—	555	506	108	19	3	2	32	109	5	8	5	213	267	275	542	61	257	20	6	239	48	—	—	—	—	—	—
2009	19	AA MLE	Binghamton Mets	—	553	498	144	22	3	4	27	72	11	19	3	289	340	369	709	80	317	13	5	305	93	—	—	—	—	—	—
2010	20	MLB MLE	New York Mets	—	255	219	48	13	0	1	19	38	8	2	2	219	305	292	597	73	250	15	7	267	67	-10	-0	-2	+2	+6	-0.5
2010	20	AAA MLE	Buffalo Bisons	—	244	223	62	9	0	1	9	44	3	1	3	278	315	332	647	54	321	18	4	279	75	—	—	—	—	—	—
2011	21	MLB MLE	New York Mets	—	376	331	96	16	1	0	32	50	6	5	1	290	363	344	708	54	331	13	9	320	103	+1	+1	+4	+2	+8	1.6
2011	21	AAA MLE	Buffalo Bisons	—	231	213	49	6	3	2	13	35	2	4	2	230	281	315	595	85	265	15	6	267	67	—	—	—	—	—	—
2012	22	MLB MLE	New York Mets	—	501	464	139	28	0	1	27	73	5	4	4	300	345	366	711	67	339	15	5	318	101	+1	-1	+6	+6	+11	2.3
2012	22	AAA MLE	Buffalo Bisons	—	21	20	4	1	0	0	1	4	0	0	0	200	238	250	488	50	227	19	5	197	19	—	—	—	—	—	—
2013	23	MLB MLE	New York Mets	—	227	208	44	13	0	0	15	24	1	2	1	212	268	274	542	63	228	11	7	244	51	-13	+0	+3	+5	+5	-0.0
2013	23	AAA MLE	Las Vegas 51s	—	269	244	61	11	1	2	10	41	6	1	1	250	296	328	624	78	275	15	4	269	68	—	—	—	—	—	—
2014	24	MLB MLE	New York Mets	—	419	366	87	12	0	5	39	73	8	1	2	238	324	311	636	74	283	17	9	290	83	-9	-1	+9	+4	+9	1.4
2015	25	MLB MLE	New York Mets	—	407	365	97	24	0	3	33	70	5	2	1	266	335	356	691	90	315	17	8	313	98	-1	+0	+1	+4	+9	1.3
2016	26	MLB MLE	San Francisco Giants	—	78	66	11	5	0	0	7	13	1	0	0	167	257	242	499	76	196	17	9	225	38	-6	+0	-0	+1	+2	-0.4
2016	26	AAA MLE	Sacramento River Cats	—	155	145	38	9	1	1	5	26	2	0	1	262	296	359	655	97	297	17	3	276	73	—	—	—	—	—	—
2017	27	MLB MLE	Baltimore Orioles	—	124	113	26	6	0	0	8	15	2	0	0	230	293	283	576	53	265	12	6	265	65	-5	+0	+1	+3	+3	0.2
2017	27	AAA MLE	Norfolk Tides	—	199	180	45	8	0	6	14	25	3	0	2	250	315	394	709	144	252	13	7	306	93	—	—	—	—	—	—
2018	28	AAA MLE	Norfolk Tides	—	392	360	72	14	0	2	16	82	8	5	0	200	250	256	506	56	242	21	4	223	37	—	—	—	—	—	—
2019	29	AAA MLE	Syracuse Mets	—	314	285	73	15	1	5	21	62	7	3	3	256	323	368	691	112	308	20	7	303	91	—	—	—	—	—	—
2021	31	AAA MLE	Charlotte Knights	—	294	266	54	4	1	1	21	69	6	1	3	203	276	237	513	34	261	23	7	230	42	—	—	—	—	—	—
2007	17	ROK MLE	GCL Mets	—	299	256	67	7	2	3	24	51	12	18	6	262	353	340	693	78	311	17	8	300	89	—	—	—	—	—	—
2007	17	ROK RAW	GCL Mets	—	299	241	78	9	3	3	38	35	12	18	6	324	438	423	862	100	362	12	13	385	89	—	—	—	—	—	—
2008	18	A+ MLE	St. Lucie Mets	—	555	506	108	19	3	2	32	109	5	8	5	213	267	275	542	61	266	20	6	239	48	—	—	—	—	—	—
2008	18	A+ RAW	St. Lucie Mets	—	555	497	114	19	4	2	41	77	5	8	5	229	295	296	590	66	265	14	7	266	48	—	—	—	—	—	—
2009	19	AA MLE	Binghamton Mets	—	553	498	144	22	3	4	27	72	11	19	3	289	340	369	709	80	330	13	5	305	93	—	—	—	—	—	—
2009	19	AA RAW	Binghamton Mets	—	553	488	141	24	3	5	37	59	11	19	3	289	353	381	734	92	319	11	7	323	93	—	—	—	—	—	—
2010	20	MLB MLE	2 teams	—	499	442	110	22	0	2	28	82	11	3	5	249	310	312	622	63	298	16	6	273	71	-17	-1	-2	+2	+11	-0.8
2010	20	MLB RAW	2 teams	—	499	434	107	23	0	2	36	74	11	3	5	247	320	313	634	67	289	15	7	283	71	-17	-1	-2	+2	+11	-0.8
2011	21	MLB MLE	2 teams	—	607	544	145	22	4	2	45	85	8	9	3	267	332	333	664	66	310	14	7	300	89	-8	+1	+4	+2	+13	1.2
2011	21	MLB RAW	2 teams	—	607	535	144	22	4	3	54	80	8	9	3	269	345	342	687	73	309	13	9	311	89	-8	+1	+4	+2	+13	1.2
2012	22	MLB MLE	2 teams	—	522	484	142	28	0	1	28	77	5	4	4	293	338	357	696	64	346	15	5	313	98	-1	-1	+6	+6	+11	2.1
2012	22	MLB RAW	2 teams	—	522	484	138	27	0	1	28	76	5	4	4	285	331	347	678	62	335	15	5	306	98	-1	-1	+6	+6	+11	2.1
2013	23	AAA MLE	2 teams	—	496	452	105	24	1	2	25	65	7	3	2	232	283	303	586	71	265	13	5	258	60	—	—	—	—	—	—
2013	23	AAA RAW	2 teams	—	496	448	111	26	1	2	29	54	7	3	2	248	304	324	627	76	275	11	6	280	60	—	—	—	—	—	—
2014	24	MLB MLE	New York Mets	—	419	366	87	12	0	5	39	73	8	1	2	238	324	311	636	74	283	17	9	290	83	-9	-1	+9	+4	+9	1.4
2014	24	MLB RAW	New York Mets	—	419	355	84	11	0	5	50	73	8	1	2	237	344	310	654	73	283	17	12	303	83	-9	-1	+9	+4	+9	1.4
2015	25	MLB MLE	New York Mets	—	407	365	97	24	0	3	33	70	5	2	1	266	335	356	691	90	320	17	8	313	98	-1	+0	+1	+4	+9	1.3
2015	25	MLB RAW	New York Mets	—	407	360	94	23	0	3	38	70	5	2	1	261	340	350	690	89	315	17	9	313	98	-1	+0	+1	+4	+9	1.3
2016	26	AAA MLE	2 teams	—	233	211	49	14	1	1	12	39	3	0	1	232	283	322	605	90	273	17	5	259	61	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	233	209	54	16	1	1	14	34	3	0	1	258	314	359	673	100	296	15	6	295	61	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	323	293	70	14	0	6	22	40	5	0	2	239	303	348	651	109	257	12	7	290	82	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	323	288	75	16	0	6	27	36	5	0	2	260	334	378	713	118	278	11	8	320	82	—	—	—	—	—	—
2018	28	AAA MLE	Norfolk Tides	—	392	360	72	14	0	2	16	82	8	5	0	200	250	256	506	56	250	21	4	223	37	—	—	—	—	—	—
2018	28	AAA RAW	Norfolk Tides	—	392	352	81	18	0	2	24	69	8	5	0	230	294	298	593	68	277	18	6	268	37	—	—	—	—	—	—
2019	29	AAA MLE	Syracuse Mets	—	314	285	73	15	1	5	21	62	7	3	3	256	323	368	691	112	311	20	7	303	91	—	—	—	—	—	—
2019	29	AAA RAW	Syracuse Mets	—	314	276	90	20	1	6	30	53	7	3	3	326	406	471	877	145	385	17	10	391	91	—	—	—	—	—	—
2021	31	AAA MLE	Charlotte Knights	—	294	266	54	4	1	1	21	69	6	1	3	203	276	237	513	34	269	23	7	230	42	—	—	—	—	—	—
2021	31	AAA RAW	Charlotte Knights	—	294	253	59	5	1	1	34	58	6	1	3	233	338	273	611	40	297	20	12	290	42	—	—	—	—	—	—
2022	32	INTL MLE	Gigantes del Cibao	—	20	20	4	2	0	0	0	3	0	0	0	200	200	300	500	100	235	15	0	—	—	—	—	—	—	—	—
2022	32	INTL RAW	Gigantes del Cibao	—	20	20	4	2	0	0	0	3	0	0	0	200	200	300	500	100	235	15	0	219	34	—	—	—	—	—	—
2023	33	INTL MLE	Panama	—	31	27	8	2	0	0	3	3	1	0	0	296	387	370	757	74	333	10	10	—	—	—	—	—	—	—	—
2023	33	INTL RAW	Panama	—	31	27	8	2	0	0	3	3	1	0	0	296	387	370	757	74	333	10	10	349	122	—	—	—	—	—	—
2024	34	INTL MLE	Senadores de San Juan	—	25	23	4	0	0	0	0	1	1	0	0	174	208	174	382		174	4	0	—	—	—	—	—	—	—	—
2024	34	INTL RAW	Senadores de San Juan	—	25	23	4	0	0	0	0	1	1	0	0	174	208	174	382		174	4	0	174	4	—	—	—	—	—	—
2007	17	ROK MLE	GCL Mets	—	299	261	67	7	2	3	24	51	12	18	6	257	353	333	686	77	295	17	8	300	89	—	—	—	—	—	—
2008	18	A+ MLE	St. Lucie Mets	—	555	513	108	19	3	2	32	109	5	8	5	211	267	271	538	60	257	20	6	239	48	—	—	—	—	—	—
2009	19	AA MLE	Binghamton Mets	—	553	510	144	22	3	4	27	72	11	19	3	282	340	361	700	78	317	13	5	305	93	—	—	—	—	—	—
2010	20	MLB MLE	2 teams	—	499	457	110	22	0	2	28	82	11	3	5	241	310	302	612	61	285	16	6	273	71	—	—	—	—	—	—
2011	21	MLB MLE	2 teams	—	607	549	145	22	4	2	45	85	8	9	3	264	332	330	661	66	306	14	7	300	89	—	—	—	—	—	—
2012	22	MLB MLE	2 teams	—	522	484	142	28	0	1	28	77	5	4	4	293	338	357	696	64	335	15	5	313	98	—	—	—	—	—	—
2013	23	AAA MLE	2 teams	—	496	461	105	24	1	2	25	65	7	3	2	228	283	297	580	69	254	13	5	258	60	—	—	—	—	—	—
2014	24	MLB MLE	New York Mets	—	419	369	87	12	0	5	39	73	8	1	2	236	324	309	633	73	283	17	9	290	83	—	—	—	—	—	—
2015	25	MLB MLE	New York Mets	—	407	366	97	24	0	3	33	70	5	2	1	265	335	355	690	90	315	17	8	313	98	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	233	216	49	14	1	1	12	39	3	0	1	227	283	315	598	88	263	17	5	259	61	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	323	293	70	14	0	6	22	40	5	0	2	239	303	348	651	109	257	12	7	290	82	—	—	—	—	—	—
2018	28	AAA MLE	Norfolk Tides	—	392	365	72	14	0	2	16	82	8	5	0	197	250	252	502	55	242	21	4	223	37	—	—	—	—	—	—
2019	29	AAA MLE	Syracuse Mets	—	314	283	73	15	1	5	21	62	7	3	3	258	323	371	694	113	308	20	7	303	91	—	—	—	—	—	—
2021	31	AAA MLE	Charlotte Knights	—	294	265	54	4	1	1	21	69	6	1	3	204	276	238	514	34	261	23	7	230	42	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2387	2110	530	110	1	10	202	356	36	16	11	251	327	318	646	67	296	15	8	294	73	-43	-1	+22	+28	+52	5.9
/ 162G	—	A+C		—	650	575	144	30	0	3	55	97	10	4	3	250	327	318	645	68	294	15	8	294	73	-12	-0	+6	+8	+14	1.6
Career	—	MLE		—	5989	5398	1339	245	16	39	376	983	103	76	40	248	309	321	630	73	294	16	6	276	73	-43	-1	+22	+28	+52	5.9
/ 162G	—	MLE		—	650	586	146	27	2	4	41	107	11	8	4	249	310	323	633	73	296	16	6	276	73	-12	-0	+6	+8	+14	1.6

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.

2021 AAACharlotte Knights · 294 PAwOBA .284 → .230 (−55)K% 19.7% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.73%	÷1.011	×1.200	—	—	23.42%
BB% (unintentional) /PA	11.56%	÷1.053	×0.690	—	×0.952	7.21%
HBP% /PA	2.04%	—	×0.940	—	×0.952	1.83%
Singles /BIP	26.67%	÷0.986	×0.930	×1.001	×0.952	23.95%
Doubles /BIP	2.56%	÷1.128	×0.830	×1.001	×0.952	1.80%
Triples /BIP	0.51%	÷1.020	×0.920	×1.001	×0.952	0.44%
Home runs /BIP	0.51%	÷1.190	×0.700	—	×0.952	0.29%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — 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 ×1.001.

Result: wOBA .284 → .230; ISO .040 → .028; BABIP .297 → .261. 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).

2019 AAASyracuse Mets · 314 PAwOBA .382 → .303 (−79)K% 16.9% → 19.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.88%	÷1.020	×1.200	—	—	19.86%
BB% (unintentional) /PA	9.55%	÷0.966	×0.690	—	×0.972	6.64%
HBP% /PA	2.23%	—	×0.940	—	×0.972	2.04%
Singles /BIP	28.25%	÷1.042	×0.930	×0.950	×0.972	23.29%
Doubles /BIP	8.97%	÷1.060	×0.830	×0.950	×0.972	6.48%
Triples /BIP	0.45%	÷0.900	×0.970	×0.950	×0.972	0.45%
Home runs /BIP	2.69%	÷0.960	×0.840	—	×0.972	2.29%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — 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 ×0.950.

Result: wOBA .382 → .303; ISO .145 → .116; BABIP .385 → .308. 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 AAANorfolk Tides · 392 PAwOBA .264 → .223 (−41)K% 17.6% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.60%	÷1.009	×1.200	—	—	20.93%
BB% (unintentional) /PA	6.12%	÷0.997	×0.690	—	×0.982	4.16%
HBP% /PA	2.04%	—	×0.940	—	×0.982	1.88%
Singles /BIP	21.55%	÷0.984	×0.930	×0.980	×0.982	19.61%
Doubles /BIP	6.36%	÷1.063	×0.830	×0.980	×0.982	4.78%
Triples /BIP	0.00%	÷1.150	×0.970	×0.980	×0.982	0.00%
Home runs /BIP	0.71%	÷0.964	×0.840	—	×0.982	0.60%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 97, 2B 113, 3B 130, K 102, BB 99 — 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 ×0.980.

Result: wOBA .264 → .223; ISO .068 → .054; BABIP .277 → .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).

2017 AAANorfolk Tides · 199 PAwOBA .349 → .306 (−43)K% 10.6% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.55%	÷0.995	×1.200	—	—	12.73%
BB% (unintentional) /PA	9.55%	÷0.948	×0.690	—	×0.992	6.89%
HBP% /PA	1.51%	—	×0.940	—	×0.992	1.41%
Singles /BIP	21.43%	÷0.989	×0.930	×0.972	×0.992	19.43%
Doubles /BIP	6.49%	÷1.001	×0.830	×0.972	×0.992	5.20%
Triples /BIP	0.00%	÷1.150	×0.970	×0.972	×0.992	0.00%
Home runs /BIP	3.90%	÷0.866	×0.840	—	×0.992	3.75%

Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 98, 2B 100, 3B 130, K 99, BB 90 — 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 ×0.972.

Result: wOBA .349 → .306; ISO .160 → .148; BABIP .287 → .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).

2016 AAASacramento River Cats · 155 PAwOBA .326 → .276 (−51)K% 13.5% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.55%	÷1.034	×1.290	—	—	16.90%
BB% (unintentional) /PA	4.52%	÷1.052	×0.710	—	×1.003	3.06%
HBP% /PA	1.29%	—	×0.980	—	×1.003	1.27%
Singles /BIP	24.59%	÷0.960	×0.900	×0.956	×1.003	22.11%
Doubles /BIP	9.02%	÷0.973	×0.810	×0.956	×1.003	7.20%
Triples /BIP	0.82%	÷0.900	×0.810	×0.956	×1.003	0.71%
Home runs /BIP	0.82%	÷1.082	×0.780	—	×1.003	0.59%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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 ×0.956.

Result: wOBA .326 → .276; ISO .112 → .089; BABIP .341 → .297. 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 AAALas Vegas 51s · 269 PAwOBA .312 → .269 (−43)K% 11.2% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.15%	÷0.952	×1.290	—	—	15.12%
BB% (unintentional) /PA	5.20%	÷0.994	×0.710	—	×1.048	3.90%
HBP% /PA	2.23%	—	×0.980	—	×1.048	2.29%
Singles /BIP	24.76%	÷1.018	×0.900	×0.967	×1.048	22.18%
Doubles /BIP	6.67%	÷1.023	×0.810	×0.967	×1.048	5.35%
Triples /BIP	0.48%	÷1.150	×0.810	×0.967	×1.048	0.34%
Home runs /BIP	0.95%	÷1.078	×0.780	—	×1.048	0.72%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — 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 ×0.967.

Result: wOBA .312 → .269; ISO .092 → .072; BABIP .316 → .275. 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 AAABuffalo Bisons · 21 PAwOBA .218 → .197 (−21)K% 14.3% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.989	×1.200	—	—	17.34%
BB% (unintentional) /PA	4.76%	÷1.002	×0.690	—	×1.050	3.44%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	17.65%	÷0.992	×0.930	—	×1.050	17.37%
Doubles /BIP	5.88%	÷0.963	×0.830	—	×1.050	5.32%
Triples /BIP	0.00%	÷1.002	×0.970	—	×1.050	0.00%
Home runs /BIP	0.00%	÷0.901	×0.840	—	×1.050	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 98, 2B 93, 3B 100, K 98, BB 100 — 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 .218 → .197; ISO .050 → .044; BABIP .235 → .227. 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 AAABuffalo Bisons · 231 PAwOBA .293 → .267 (−26)K% 13.0% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.99%	÷1.026	×1.200	—	—	15.19%
BB% (unintentional) /PA	8.23%	÷1.088	×0.690	—	×1.050	5.48%
HBP% /PA	0.87%	—	×0.940	—	×1.050	0.85%
Singles /BIP	21.47%	÷1.008	×0.930	×1.008	×1.050	20.96%
Doubles /BIP	3.95%	÷0.977	×0.830	×1.008	×1.050	3.55%
Triples /BIP	1.69%	÷0.981	×0.970	×1.008	×1.050	1.77%
Home runs /BIP	1.69%	÷1.139	×0.840	—	×1.050	1.31%

Factors used: league row IL. Park (home-season share, regressed): HR 128, 1B 102, 2B 95, 3B 96, K 105, BB 118 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .293 → .267; ISO .106 → .097; BABIP .274 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .