Ramon Santiago

PosSS

B/TS/R

Born1979-08-31

Age (2027)47

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2016

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2014	34	MLBCIN	214	.246/.345/.324	2	2	87	0.5
2015	35	AAA/INTL2 orgs	255	.227/.329/.250	0	3	57	—	.188/.246/.203
2016	36	INTLToros del Este	98	.207/.309/.220	0	2	53	—
2017	37	No MLB games played
2018	38	No MLB games played
2019	39	No MLB games played
2020	40	No MLB games played
2021	41	No MLB games played
2022	42	No MLB games played
2023	43	No MLB games played
2024	44	No MLB games played
2025	45	No MLB games played
2026	46	No MLB games played

Last 3 seasons WAR 0.5

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.

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)
2002	22	MLB	Detroit Tigers	—	249	222	54	5	5	4	13	48	8	8	5	243	309	365	674	122	291	19	5	297	87	-4	-0	+0	+1	+5	0.2
2003	23	MLB	Detroit Tigers	—	507	444	100	18	1	2	33	66	10	10	4	225	294	284	577	59	259	13	7	258	61	-24	+0	-8	+5	+11	-1.5
2004	24	MLB	Seattle Mariners	—	45	39	7	1	0	0	3	3	1	0	0	179	256	205	461	26	194	7	7	212	30	-4	+0	+1	+0	+1	-0.2
2005	25	AAA	Tacoma Rainiers	—	517	441	111	22	3	10	38	62	15	18	7	252	332	383	715	132	269	12	7	310	71	—	—	—	—	—	—
2006	26	MLB	Detroit Tigers	—	86	80	18	1	1	0	1	14	1	2	0	225	244	263	506	38	273	16	1	219	34	-7	+0	+3	+2	+2	0.1
2006	26	AAA	Toledo Mud Hens	—	100	83	21	6	0	2	9	18	1	2	1	253	333	398	731	145	302	18	9	306	76	—	—	—	—	—	—
2007	27	MLB	Detroit Tigers	—	74	67	19	5	1	0	1	10	3	3	0	284	324	388	712	104	333	14	1	307	94	-1	+1	+4	+5	+2	1.1
2007	27	AAA	Toledo Mud Hens	—	402	365	96	19	4	3	16	61	9	8	9	263	310	362	672	99	308	15	4	294	63	—	—	—	—	—	—
2008	28	MLB	Detroit Tigers	—	156	124	35	6	2	4	22	17	5	1	0	282	411	460	870	177	301	11	14	379	143	+8	+0	-1	+2	+3	1.2
2008	28	AAA	Toledo Mud Hens	—	33	28	6	2	0	0	2	7	2	0	0	214	312	286	598	71	286	21	6	274	42	—	—	—	—	—	—
2009	29	MLB	Detroit Tigers	—	296	262	70	6	2	7	17	57	4	1	2	267	322	385	707	118	313	19	6	304	90	-3	-1	+2	+3	+6	0.7
2010	30	MLB	Detroit Tigers	—	367	320	84	9	1	3	30	56	7	2	2	263	339	325	664	62	308	15	8	299	91	-4	-0	+14	+4	+8	2.2
2010	30	INTL	Leones del Escogido	—	34	28	11	3	0	1	5	3	1	0	0	393	500	607	1.107	214	417	9	15	485	214	—	—	—	—	—	—
2011	31	MLB	Detroit Tigers	—	294	258	67	11	3	5	17	38	4	0	0	260	315	384	699	124	283	13	6	298	91	-3	+0	+5	+1	+6	1.0
2012	32	MLB	Detroit Tigers	—	259	228	47	7	1	2	20	39	5	1	0	206	285	272	557	66	239	15	8	254	59	-13	+0	+2	+1	+6	-0.3
2012	32	INTL	Leones del Escogido	—	96	83	27	5	0	1	11	11	1	6	0	325	411	422	832	96	366	11	11	374	139	—	—	—	—	—	—
2013	33	MLB	Detroit Tigers	—	234	205	46	8	1	1	21	32	1	0	1	224	300	288	587	63	260	14	9	265	67	-9	-0	+5	+1	+5	0.2
2014	34	MLB	Cincinnati Reds	—	214	179	44	8	0	2	24	38	3	2	1	246	345	324	669	78	300	18	11	300	87	-3	+0	+2	+1	+5	0.5
2015	35	AAA	Buffalo Bisons	—	139	124	25	2	0	0	11	22	3	2	3	202	283	218	500	16	245	16	8	239	22	—	—	—	—	—	—
2015	35	INTL	Leones del Escogido	—	116	92	24	3	0	0	15	20	4	1	2	261	387	293	681	33	333	17	13	313	98	—	—	—	—	—	—
2016	36	INTL	Toros del Este	—	98	82	17	1	0	0	10	13	2	2	0	207	309	220	528	12	243	13	10	247	53	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2781	2428	591	85	18	30	202	418	52	30	15	243	315	330	645	87	281	15	7	286	79	-68	+0	+31	+27	+60	5.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2002	22	MLB MLE	Detroit Tigers	—	249	222	54	5	5	4	13	48	8	8	5	243	309	365	674	122	291	19	5	297	87	-4	-0	+0	+1	+5	0.2
2003	23	MLB MLE	Detroit Tigers	—	507	444	100	18	1	2	33	66	10	10	4	225	294	284	577	59	259	13	7	258	61	-24	+0	-8	+5	+11	-1.5
2004	24	MLB MLE	Seattle Mariners	—	45	39	7	1	0	0	3	3	1	0	0	179	256	205	461	26	194	7	7	212	30	-4	+0	+1	+0	+1	-0.2
2005	25	AAA MLE	Tacoma Rainiers	—	517	452	104	19	3	8	27	80	15	18	7	230	296	338	634	108	245	15	5	273	71	—	—	—	—	—	—
2006	26	MLB MLE	Detroit Tigers	—	86	80	18	1	1	0	1	14	1	2	0	225	244	263	506	38	273	16	1	219	34	-7	+0	+3	+2	+2	0.1
2006	26	AAA MLE	Toledo Mud Hens	—	100	86	22	6	0	2	6	22	1	2	1	256	312	395	707	140	284	22	6	281	76	—	—	—	—	—	—
2007	27	MLB MLE	Detroit Tigers	—	74	67	19	5	1	0	1	10	3	3	0	284	324	388	712	104	333	14	1	307	94	-1	+1	+4	+5	+2	1.1
2007	27	AAA MLE	Toledo Mud Hens	—	402	370	90	16	4	3	11	73	9	8	9	243	282	332	614	89	284	18	3	261	63	—	—	—	—	—	—
2008	28	MLB MLE	Detroit Tigers	—	156	124	35	6	2	4	22	17	5	1	0	282	411	460	870	177	301	11	14	379	143	+8	+0	-1	+2	+3	1.2
2008	28	AAA MLE	Toledo Mud Hens	—	33	29	6	2	0	0	1	8	2	0	0	207	281	276	557	69	252	24	3	231	42	—	—	—	—	—	—
2009	29	MLB MLE	Detroit Tigers	—	296	263	70	6	2	7	16	57	4	1	2	266	318	384	702	118	313	19	5	302	90	-3	-1	+2	+3	+6	0.7
2010	30	MLB MLE	Detroit Tigers	—	367	320	85	9	1	3	30	56	7	2	2	266	342	328	670	62	308	15	8	303	91	-4	-0	+14	+4	+8	2.2
2011	31	MLB MLE	Detroit Tigers	—	294	258	68	11	3	5	17	38	4	0	0	264	319	388	707	124	283	13	6	303	91	-3	+0	+5	+1	+6	1.0
2012	32	MLB MLE	Detroit Tigers	—	259	229	47	7	1	2	19	39	5	1	0	205	281	271	551	66	239	15	7	255	59	-13	+0	+2	+1	+6	-0.3
2013	33	MLB MLE	Detroit Tigers	—	234	205	46	8	1	1	21	32	1	0	1	224	300	288	587	63	260	14	9	268	67	-9	-0	+5	+1	+5	0.2
2014	34	MLB MLE	Cincinnati Reds	—	214	179	44	8	0	2	24	38	3	2	1	246	345	324	669	78	300	18	11	296	87	-3	+0	+2	+1	+5	0.5
2015	35	AAA MLE	Buffalo Bisons	—	139	128	24	2	0	0	7	26	3	2	3	188	246	203	450	16	228	19	5	201	22	—	—	—	—	—	—
2002	22	MLB MLE	Detroit Tigers	—	249	222	54	5	5	4	13	48	8	8	5	243	309	365	674	122	291	19	5	297	87	-4	-0	+0	+1	+5	0.2
2002	22	MLB RAW	Detroit Tigers	—	249	222	54	5	5	4	13	48	8	8	5	243	309	365	674	122	291	19	5	297	87	-4	-0	+0	+1	+5	0.2
2003	23	MLB MLE	Detroit Tigers	—	507	444	100	18	1	2	33	66	10	10	4	225	294	284	577	59	259	13	7	258	61	-24	+0	-8	+5	+11	-1.5
2003	23	MLB RAW	Detroit Tigers	—	507	444	100	18	1	2	33	66	10	10	4	225	294	284	577	59	259	13	7	258	61	-24	+0	-8	+5	+11	-1.5
2004	24	MLB MLE	Seattle Mariners	—	45	39	7	1	0	0	3	3	1	0	0	179	256	205	461	26	194	7	7	212	30	-4	+0	+1	+0	+1	-0.2
2004	24	MLB RAW	Seattle Mariners	—	45	39	7	1	0	0	3	3	1	0	0	179	256	205	461	26	194	7	7	212	30	-4	+0	+1	+0	+1	-0.2
2005	25	AAA MLE	Tacoma Rainiers	—	517	452	104	19	3	8	27	80	15	18	7	230	296	338	634	108	259	15	5	273	71	—	—	—	—	—	—
2005	25	AAA RAW	Tacoma Rainiers	—	517	441	111	22	3	10	38	62	15	18	7	252	332	383	715	132	269	12	7	310	71	—	—	—	—	—	—
2006	26	AAA MLE	2 teams	—	186	166	40	7	1	2	7	36	2	4	1	241	280	331	611	90	297	19	4	252	57	—	—	—	—	—	—
2006	26	AAA RAW	2 teams	—	186	163	39	7	1	2	10	32	2	4	1	239	291	331	623	92	287	17	5	266	57	—	—	—	—	—	—
2007	27	AAA MLE	2 teams	—	476	437	109	21	5	3	12	83	12	11	9	249	289	341	629	92	301	17	3	268	68	—	—	—	—	—	—
2007	27	AAA RAW	2 teams	—	476	432	115	24	5	3	17	71	12	11	9	266	312	366	678	100	312	15	4	296	68	—	—	—	—	—	—
2008	28	MLB MLE	2 teams	—	189	153	41	8	2	4	23	25	7	1	0	268	388	425	813	157	298	13	12	353	125	+6	+0	-1	+2	+4	1.1
2008	28	MLB RAW	2 teams	—	189	152	41	8	2	4	24	24	7	1	0	270	393	428	821	158	298	13	13	361	125	+6	+0	-1	+2	+4	1.1
2009	29	MLB MLE	Detroit Tigers	—	296	263	70	6	2	7	16	57	4	1	2	266	318	384	702	118	312	19	5	302	90	-3	-1	+2	+3	+6	0.7
2009	29	MLB RAW	Detroit Tigers	—	296	262	70	6	2	7	17	57	4	1	2	267	322	385	707	118	313	19	6	304	90	-3	-1	+2	+3	+6	0.7
2010	30	MLB MLE	2 teams	—	401	350	93	10	1	3	33	61	8	2	2	266	343	326	668	60	312	15	8	303	91	-4	-0	+14	+4	+9	2.3
2010	30	MLB RAW	2 teams	—	401	348	95	12	1	4	35	59	8	2	2	273	353	348	701	75	317	15	9	315	91	-4	-0	+14	+4	+9	2.3
2011	31	MLB MLE	Detroit Tigers	—	294	258	68	11	3	5	17	38	4	0	0	264	319	388	707	124	288	13	6	303	91	-3	+0	+5	+1	+6	1.0
2011	31	MLB RAW	Detroit Tigers	—	294	258	67	11	3	5	17	38	4	0	0	260	315	384	699	124	283	13	6	298	91	-3	+0	+5	+1	+6	1.0
2012	32	MLB MLE	2 teams	—	355	316	65	10	1	3	26	53	6	7	0	206	279	272	551	66	238	15	7	255	59	-17	+1	+2	+1	+8	-0.5
2012	32	MLB RAW	2 teams	—	355	311	74	12	1	3	31	50	6	7	0	238	319	312	631	74	274	14	9	287	59	-17	+1	+2	+1	+8	-0.5
2013	33	MLB MLE	Detroit Tigers	—	234	205	46	8	1	1	21	32	1	0	1	224	300	288	587	63	260	14	9	268	67	-9	-0	+5	+1	+5	0.2
2013	33	MLB RAW	Detroit Tigers	—	234	205	46	8	1	1	21	32	1	0	1	224	300	288	587	63	260	14	9	265	67	-9	-0	+5	+1	+5	0.2
2014	34	MLB MLE	Cincinnati Reds	—	214	179	44	8	0	2	24	38	3	2	1	246	345	324	669	78	300	18	11	296	87	-3	+0	+2	+1	+5	0.5
2014	34	MLB RAW	Cincinnati Reds	—	214	179	44	8	0	2	24	38	3	2	1	246	345	324	669	78	300	18	11	300	87	-3	+0	+2	+1	+5	0.5
2015	35	AAA MLE	2 teams	—	255	230	43	3	0	0	12	48	7	3	5	187	249	200	449	13	236	19	5	201	22	—	—	—	—	—	—
2015	35	AAA RAW	2 teams	—	255	216	49	5	0	0	26	42	7	3	5	227	329	250	579	23	282	16	10	273	22	—	—	—	—	—	—
2016	36	INTL MLE	Toros del Este	—	98	82	17	1	0	0	10	13	2	2	0	207	309	220	528	12	243	13	10	—	—	—	—	—	—	—	—
2016	36	INTL RAW	Toros del Este	—	98	82	17	1	0	0	10	13	2	2	0	207	309	220	528	12	243	13	10	247	53	—	—	—	—	—	—
2002	22	MLB MLE	Detroit Tigers	—	249	226	54	5	5	4	13	48	8	8	5	239	309	358	667	119	291	19	5	297	87	—	—	—	—	—	—
2003	23	MLB MLE	Detroit Tigers	—	507	459	100	18	1	2	33	66	10	10	4	218	294	275	568	57	259	13	7	258	61	—	—	—	—	—	—
2004	24	MLB MLE	Seattle Mariners	—	45	41	7	1	0	0	3	3	1	0	0	171	256	195	451	24	194	7	7	212	30	—	—	—	—	—	—
2005	25	AAA MLE	Tacoma Rainiers	—	517	470	104	19	3	8	27	80	15	18	7	221	296	326	621	104	245	15	5	273	71	—	—	—	—	—	—
2006	26	AAA MLE	2 teams	—	186	175	40	7	1	2	7	36	2	4	1	229	280	314	594	86	279	19	4	252	57	—	—	—	—	—	—
2007	27	AAA MLE	2 teams	—	476	449	109	21	5	3	12	83	12	11	9	243	289	332	620	89	292	17	3	268	68	—	—	—	—	—	—
2008	28	MLB MLE	2 teams	—	189	157	41	8	2	4	23	25	7	1	0	261	388	414	802	153	292	13	12	353	125	—	—	—	—	—	—
2009	29	MLB MLE	Detroit Tigers	—	296	274	70	6	2	7	16	57	4	1	2	255	318	369	687	113	313	19	5	302	90	—	—	—	—	—	—
2010	30	MLB MLE	2 teams	—	401	357	93	10	1	3	33	61	8	2	2	261	343	319	662	59	308	15	8	303	91	—	—	—	—	—	—
2011	31	MLB MLE	Detroit Tigers	—	294	271	68	11	3	5	17	38	4	0	0	251	319	369	688	118	283	13	6	303	91	—	—	—	—	—	—
2012	32	MLB MLE	2 teams	—	355	320	65	10	1	3	26	53	6	7	0	203	279	269	547	66	239	15	7	255	59	—	—	—	—	—	—
2013	33	MLB MLE	Detroit Tigers	—	234	210	46	8	1	1	21	32	1	0	1	219	300	281	581	62	260	14	9	268	67	—	—	—	—	—	—
2014	34	MLB MLE	Cincinnati Reds	—	214	185	44	8	0	2	24	38	3	2	1	238	345	314	658	76	300	18	11	296	87	—	—	—	—	—	—
2015	35	AAA MLE	2 teams	—	255	234	43	3	0	0	12	48	7	3	5	184	249	197	446	13	228	19	5	201	22	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2781	2428	591	85	18	30	202	418	52	30	15	243	315	330	645	87	281	15	7	286	69	-68	+0	+31	+27	+60	5.1
/ 162G	—	A+C		—	650	567	138	20	4	7	47	98	12	7	4	243	314	330	644	86	281	15	7	286	69	-16	+0	+7	+6	+14	1.2
Career	—	MLE		—	4316	3796	901	136	25	44	277	681	90	69	37	237	305	321	626	84	277	16	6	270	69	-68	+0	+31	+27	+60	5.1
/ 162G	—	MLE		—	650	572	136	20	4	7	42	103	14	10	6	238	306	323	630	86	277	16	6	270	69	-16	+0	+7	+6	+14	1.2

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.

2015 AAABuffalo Bisons · 139 PAwOBA .234 → .201 (−32)K% 15.8% → 18.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.83%	÷1.008	×1.200	—	—	18.85%
BB% (unintentional) /PA	7.91%	÷1.040	×0.690	—	×0.940	4.93%
HBP% /PA	2.16%	—	×0.940	—	×0.940	1.91%
Singles /BIP	22.55%	÷0.981	×0.930	×1.050	×0.940	21.09%
Doubles /BIP	1.96%	÷0.944	×0.830	×1.050	×0.940	1.70%
Triples /BIP	0.00%	÷0.900	×0.970	×1.050	×0.940	0.00%
Home runs /BIP	0.00%	÷0.966	×0.840	—	×0.940	0.00%

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 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .234 → .201; ISO .016 → .014; BABIP .245 → .228. 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 AAAToledo Mud Hens · 33 PAwOBA .268 → .231 (−37)K% 21.2% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷1.000	×1.200	—	—	25.45%
BB% (unintentional) /PA	6.06%	÷1.000	×0.690	—	×0.982	4.11%
HBP% /PA	6.06%	—	×0.940	—	×0.982	5.59%
Singles /BIP	19.05%	÷1.000	×0.930	—	×0.982	17.40%
Doubles /BIP	9.52%	÷1.000	×0.830	—	×0.982	7.76%
Triples /BIP	0.00%	÷1.000	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×0.982	0.00%

Factors used: league row IL. 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).

Result: wOBA .268 → .231; ISO .071 → .059; BABIP .286 → .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).

2007 AAAToledo Mud Hens · 402 PAwOBA .287 → .261 (−26)K% 15.2% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.17%	÷1.000	×1.200	—	—	18.21%
BB% (unintentional) /PA	3.98%	÷1.000	×0.690	—	×0.992	2.72%
HBP% /PA	2.24%	—	×0.940	—	×0.992	2.09%
Singles /BIP	23.03%	÷1.000	×0.930	×1.023	×0.992	21.73%
Doubles /BIP	6.25%	÷1.000	×0.830	×1.023	×0.992	5.26%
Triples /BIP	1.32%	÷1.000	×0.970	×1.023	×0.992	1.30%
Home runs /BIP	0.99%	÷1.000	×0.840	—	×0.992	0.82%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.023.

Result: wOBA .287 → .261; ISO .099 → .088; BABIP .308 → .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).

2006 AAAToledo Mud Hens · 100 PAwOBA .298 → .281 (−17)K% 18.0% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.00%	÷1.000	×1.200	—	—	21.60%
BB% (unintentional) /PA	9.00%	÷1.000	×0.690	—	×1.003	6.23%
HBP% /PA	1.00%	—	×0.940	—	×1.003	0.94%
Singles /BIP	20.00%	÷1.000	×0.930	×1.050	×1.003	19.59%
Doubles /BIP	9.23%	÷1.000	×0.830	×1.050	×1.003	8.07%
Triples /BIP	0.00%	÷1.000	×0.970	×1.050	×1.003	0.00%
Home runs /BIP	3.08%	÷1.000	×0.840	—	×1.003	2.59%

Factors used: league row IL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.

Result: wOBA .298 → .281; ISO .145 → .136; BABIP .302 → .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).

2005 AAATacoma Rainiers · 517 PAwOBA .305 → .273 (−32)K% 12.0% → 15.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.99%	÷1.000	×1.290	—	—	15.47%
BB% (unintentional) /PA	7.35%	÷1.000	×0.710	—	×1.018	5.31%
HBP% /PA	2.90%	—	×0.980	—	×1.018	2.89%
Singles /BIP	20.05%	÷1.000	×0.900	×1.023	×1.018	18.79%
Doubles /BIP	5.80%	÷1.000	×0.810	×1.023	×1.018	4.89%
Triples /BIP	0.79%	÷1.000	×0.810	×1.023	×1.018	0.67%
Home runs /BIP	2.64%	÷1.000	×0.780	—	×1.018	2.10%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.023.

Result: wOBA .305 → .273; ISO .132 → .112; BABIP .269 → .245. 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 — .