Raimel Tapia

PosRF

B/TL/L

Born1994-02-04

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	30	INTLEstrellas Ori…	132	.276/.318/.358	1	8	92	—
2025	31	INTLEstrellas Ori…	222	.356/.400/.454	2	9	143	—
2026	32	INTLEstrellas Ori…	35	.344/.400/.531	2	2	165	—

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Speed81

Bat Spd49

xwOBA29

Barrel%16

Avg EV14

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)
2011	17	ROK	DSL Rockies	—	283	248	65	6	3	1	26	41	2	15	8	262	336	323	658	60	309	14	9	297	25	—	—	—	—	—	—
2012	18	ROK	DSL Rockies	—	272	237	75	9	1	0	20	35	8	13	11	316	389	363	752	46	364	13	7	338	49	—	—	—	—	—	—
2013	19	ROK	Grand Junction Rockies	—	286	258	92	20	6	7	15	31	5	10	9	357	403	562	965	205	381	11	5	411	105	—	—	—	—	—	—
2014	20	A	Asheville Tourists	—	539	481	157	32	1	9	35	90	11	33	16	326	385	453	838	127	383	17	6	367	94	—	—	—	—	—	—
2015	21	A+	Modesto Nuts	—	593	544	166	34	9	12	24	105	5	26	10	305	340	467	807	162	350	18	4	344	96	—	—	—	—	—	—
2015	21	INTL	Salt River Rafters	—	92	88	29	5	2	1	2	17	0	5	5	330	341	466	807	136	394	18	2	349	122	—	—	—	—	—	—
2016	22	MLB	Colorado Rockies	—	41	38	10	0	0	0	2	11	0	3	0	263	300	263	563		357	27	5	255	54	-2	+1	+0	+2	+1	0.2
2016	22	AAA	Albuquerque Isotopes	—	110	104	36	5	5	0	2	12	1	6	3	346	364	490	855	144	379	11	2	365	99	—	—	—	—	—	—
2016	22	AA	Hartford Yard Goats	—	457	424	137	20	5	8	25	49	3	17	14	323	365	450	816	127	349	11	5	359	122	—	—	—	—	—	—
2016	22	INTL	Estrellas Orientales	—	50	46	8	1	0	0	3	6	0	2	1	174	224	196	420	22	200	12	6	194	18	—	—	—	—	—	—
2017	23	MLB	Colorado Rockies	—	171	160	46	12	2	2	8	36	2	5	2	287	329	425	754	138	361	21	5	333	98	-0	+0	-1	-5	+4	-0.3
2017	23	AAA	Albuquerque Isotopes	—	277	263	97	20	8	2	13	42	0	12	2	369	399	529	927	160	432	15	5	406	109	—	—	—	—	—	—
2017	23	INTL	Estrellas Orientales	—	55	49	9	0	0	0	3	8	1	1	2	184	245	184	429		209	15	5	200	21	—	—	—	—	—	—
2018	24	MLB	Colorado Rockies	—	27	25	5	2	1	1	2	7	0	0	0	200	259	480	739	280	235	26	7	317	81	-1	+0	+0	+2	+1	0.2
2018	24	AAA	Albuquerque Isotopes	—	473	434	131	33	9	11	32	85	2	21	3	302	352	495	847	194	354	18	7	368	94	—	—	—	—	—	—
2019	25	MLB	Colorado Rockies	—	447	426	117	23	5	9	21	100	0	9	3	275	309	415	724	141	341	22	5	321	92	-4	+1	+1	-5	+10	0.2
2020	26	MLB	Colorado Rockies	—	206	184	59	8	2	1	14	38	2	8	2	321	371	402	773	82	392	18	7	341	108	+2	+1	-1	-2	+4	0.4
2021	27	MLB	Colorado Rockies	—	533	487	133	26	2	6	40	70	1	20	6	273	330	372	701	99	306	13	8	314	90	-7	+2	-0	-6	+12	0.1
2022	28	MLB	Toronto Blue Jays	—	433	411	109	20	3	7	16	81	0	8	2	265	291	380	671	114	315	19	4	295	85	-8	+1	-5	-5	+9	-0.7
2023	29	MLB	Tampa Bay Rays	—	169	148	35	4	1	3	17	40	1	10	2	236	317	338	655	101	302	24	10	296	85	-3	+1	-2	-4	+4	-0.4
2023	29	AAA	Durham Bulls	—	124	104	28	3	0	4	18	28	0	7	2	269	377	413	791	144	324	23	15	353	78	—	—	—	—	—	—
2023	29	INTL	Estrellas Orientales	—	45	40	11	0	0	0	3	8	0	5	1	275	326	275	601		324	18	7	268	67	—	—	—	—	—	—
2024	30	INTL	Estrellas Orientales	—	132	123	34	7	0	1	7	24	1	8	0	276	318	358	676	81	337	18	5	305	92	—	—	—	—	—	—
2025	31	INTL	Estrellas Orientales	—	222	205	73	12	1	2	15	36	0	9	2	356	400	454	854	98	423	16	7	379	143	—	—	—	—	—	—
2026	32	INTL	Estrellas Orientales	—	35	32	11	0	0	2	2	6	1	2	0	344	400	531	931	188	375	17	6	412	165	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2027	1879	514	95	16	29	120	383	6	63	17	274	318	387	706	114	328	19	6	313	98	-5	+6	-8	-22	+44	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	17	ROK MLE	DSL Rockies	—	283	257	46	4	2	0	18	50	2	15	8	179	238	210	448	31	215	18	6	205	25	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rockies	—	272	243	55	6	1	0	14	43	8	13	11	226	291	259	550	33	255	16	5	240	49	—	—	—	—	—	—
2013	19	ROK MLE	Grand Junction Rockies	—	286	265	77	15	5	5	8	45	5	10	9	291	324	442	765	151	316	16	3	323	105	—	—	—	—	—	—
2014	20	A MLE	Asheville Tourists	—	539	493	143	25	1	5	23	123	11	33	16	290	336	375	711	85	359	23	4	307	94	—	—	—	—	—	—
2015	21	A+ MLE	Modesto Nuts	—	593	553	153	30	6	14	15	135	5	26	10	277	302	429	730	152	318	23	3	310	96	—	—	—	—	—	—
2016	22	MLB MLE	Colorado Rockies	—	41	38	10	0	0	0	2	11	0	3	0	263	300	263	563		357	27	5	249	54	-2	+1	+0	+2	+1	0.2
2016	22	AAA MLE	Albuquerque Isotopes	—	110	105	32	4	4	0	1	16	1	6	3	305	318	419	737	114	336	15	1	314	99	—	—	—	—	—	—
2016	22	AA MLE	Hartford Yard Goats	—	457	433	145	19	6	6	16	58	3	17	14	335	363	448	811	113	368	13	4	349	122	—	—	—	—	—	—
2017	23	MLB MLE	Colorado Rockies	—	171	161	44	12	1	2	7	36	2	5	2	273	312	398	709	124	361	21	4	313	98	-0	+0	-1	-5	+4	-0.3
2017	23	AAA MLE	Albuquerque Isotopes	—	277	267	84	16	6	1	9	57	0	12	2	315	337	431	768	116	389	21	3	330	109	—	—	—	—	—	—
2018	24	MLB MLE	Colorado Rockies	—	27	25	5	2	1	1	2	7	0	0	0	200	259	480	739	280	235	26	7	287	81	-1	+0	+0	+2	+1	0.2
2018	24	AAA MLE	Albuquerque Isotopes	—	473	445	117	30	8	7	22	112	2	21	3	263	301	413	714	151	331	24	5	307	94	—	—	—	—	—	—
2019	25	MLB MLE	Colorado Rockies	—	447	426	110	22	3	8	21	100	0	9	3	258	293	380	673	122	341	22	5	304	92	-4	+1	+1	-5	+10	0.2
2020	26	MLB MLE	Colorado Rockies	—	206	186	56	8	1	1	14	38	2	8	2	301	356	371	727	70	392	18	7	328	108	+2	+1	-1	-2	+4	0.4
2021	27	MLB MLE	Colorado Rockies	—	533	489	127	25	1	5	38	70	1	20	6	260	314	346	660	86	306	13	7	301	90	-7	+2	-0	-6	+12	0.1
2022	28	MLB MLE	Toronto Blue Jays	—	433	413	109	20	3	7	16	81	0	8	2	264	291	378	669	114	315	19	4	294	85	-8	+1	-5	-5	+9	-0.7
2023	29	MLB MLE	Tampa Bay Rays	—	169	149	34	4	1	3	17	40	1	10	2	228	311	329	640	101	302	24	10	294	85	-3	+1	-2	-4	+4	-0.4
2023	29	AAA MLE	Durham Bulls	—	124	110	26	3	0	3	12	33	0	7	2	236	311	345	657	109	294	27	10	283	78	—	—	—	—	—	—
2011	17	ROK MLE	DSL Rockies	—	283	257	46	4	2	0	18	50	2	15	8	179	238	210	448	31	221	18	6	205	25	—	—	—	—	—	—
2011	17	ROK RAW	DSL Rockies	—	283	248	65	6	3	1	26	41	2	15	8	262	336	323	658	60	309	14	9	297	25	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rockies	—	272	243	55	6	1	0	14	43	8	13	11	226	291	259	550	33	270	16	5	240	49	—	—	—	—	—	—
2012	18	ROK RAW	DSL Rockies	—	272	237	75	9	1	0	20	35	8	13	11	316	389	363	752	46	364	13	7	338	49	—	—	—	—	—	—
2013	19	ROK MLE	Grand Junction Rockies	—	286	265	77	15	5	5	8	45	5	10	9	291	324	442	765	151	330	16	3	323	105	—	—	—	—	—	—
2013	19	ROK RAW	Grand Junction Rockies	—	286	258	92	20	6	7	15	31	5	10	9	357	403	562	965	205	381	11	5	411	105	—	—	—	—	—	—
2014	20	A MLE	Asheville Tourists	—	539	493	143	25	1	5	23	123	11	33	16	290	336	375	711	85	374	23	4	307	94	—	—	—	—	—	—
2014	20	A RAW	Asheville Tourists	—	539	481	157	32	1	9	35	90	11	33	16	326	385	453	838	127	383	17	6	367	94	—	—	—	—	—	—
2015	21	A+ MLE	2 teams	—	685	642	178	35	7	16	17	155	5	31	15	277	301	428	730	151	334	23	2	310	96	—	—	—	—	—	—
2015	21	A+ RAW	2 teams	—	685	632	195	39	11	13	26	122	5	31	15	309	340	467	807	158	356	18	4	345	96	—	—	—	—	—	—
2016	22	AA MLE	4 teams	—	658	622	201	25	10	7	22	93	4	28	18	323	350	429	780	106	367	14	3	336	113	—	—	—	—	—	—
2016	22	AA RAW	4 teams	—	658	612	191	26	10	8	32	78	4	28	18	312	350	426	777	114	343	12	5	341	113	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	503	478	143	31	8	3	18	104	3	18	6	299	329	416	745	117	374	21	4	324	105	—	—	—	—	—	—
2017	23	AAA RAW	3 teams	—	503	472	152	32	10	4	24	86	3	18	6	322	359	458	816	136	384	17	5	359	105	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	500	470	121	31	9	8	24	119	2	21	3	257	296	413	709	155	328	24	5	306	93	—	—	—	—	—	—
2018	24	AAA RAW	2 teams	—	500	459	136	35	10	12	34	92	2	21	3	296	347	495	841	198	348	18	7	365	93	—	—	—	—	—	—
2019	25	MLB MLE	Colorado Rockies	—	447	426	110	22	3	8	21	100	0	9	3	258	293	380	673	122	321	22	5	304	92	-4	+1	+1	-5	+10	0.2
2019	25	MLB RAW	Colorado Rockies	—	447	426	117	23	5	9	21	100	0	9	3	275	309	415	724	141	341	22	5	321	92	-4	+1	+1	-5	+10	0.2
2020	26	MLB MLE	Colorado Rockies	—	206	186	56	8	1	1	14	38	2	8	2	301	356	371	727	70	367	18	7	328	108	+2	+1	-1	-2	+4	0.4
2020	26	MLB RAW	Colorado Rockies	—	206	184	59	8	2	1	14	38	2	8	2	321	371	402	773	82	392	18	7	341	108	+2	+1	-1	-2	+4	0.4
2021	27	MLB MLE	Colorado Rockies	—	533	489	127	25	1	5	38	70	1	20	6	260	314	346	660	86	292	13	7	301	90	-7	+2	-0	-6	+12	0.1
2021	27	MLB RAW	Colorado Rockies	—	533	487	133	26	2	6	40	70	1	20	6	273	330	372	701	99	306	13	8	314	90	-7	+2	-0	-6	+12	0.1
2022	28	MLB MLE	Toronto Blue Jays	—	433	413	109	20	3	7	16	81	0	8	2	264	291	378	669	114	313	19	4	294	85	-8	+1	-5	-5	+9	-0.7
2022	28	MLB RAW	Toronto Blue Jays	—	433	411	109	20	3	7	16	81	0	8	2	265	291	380	671	114	315	19	4	295	85	-8	+1	-5	-5	+9	-0.7
2023	29	MLB MLE	3 teams	—	338	298	69	8	1	6	33	85	1	22	5	232	310	326	636	94	297	25	10	290	82	-7	+2	-2	-4	+7	-0.4
2023	29	MLB RAW	3 teams	—	338	292	74	7	1	7	38	76	1	22	5	253	340	356	697	103	313	22	11	313	82	-7	+2	-2	-4	+7	-0.4
2024	30	INTL MLE	Estrellas Orientales	—	132	123	34	7	0	1	7	24	1	8	0	276	318	358	676	81	337	18	5	—	—	—	—	—	—	—	—
2024	30	INTL RAW	Estrellas Orientales	—	132	123	34	7	0	1	7	24	1	8	0	276	318	358	676	81	337	18	5	305	92	—	—	—	—	—	—
2025	31	INTL MLE	Estrellas Orientales	—	222	205	73	12	1	2	15	36	0	9	2	356	400	454	854	98	423	16	7	—	—	—	—	—	—	—	—
2025	31	INTL RAW	Estrellas Orientales	—	222	205	73	12	1	2	15	36	0	9	2	356	400	454	854	98	423	16	7	379	143	—	—	—	—	—	—
2026	32	INTL MLE	Estrellas Orientales	—	35	32	11	0	0	2	2	6	1	2	0	344	400	531	931	188	375	17	6	—	—	—	—	—	—	—	—
2026	32	INTL RAW	Estrellas Orientales	—	35	32	11	0	0	2	2	6	1	2	0	344	400	531	931	188	375	17	6	412	165	—	—	—	—	—	—
2011	17	ROK MLE	DSL Rockies	—	283	261	46	4	2	0	18	50	2	15	8	176	238	207	445	31	215	18	6	205	25	—	—	—	—	—	—
2012	18	ROK MLE	DSL Rockies	—	272	248	55	6	1	0	14	43	8	13	11	222	291	254	545	32	255	16	5	240	49	—	—	—	—	—	—
2013	19	ROK MLE	Grand Junction Rockies	—	286	271	77	15	5	5	8	45	5	10	9	284	324	432	755	148	316	16	3	323	105	—	—	—	—	—	—
2014	20	A MLE	Asheville Tourists	—	539	500	143	25	1	5	23	123	11	33	16	286	336	370	706	84	359	23	4	307	94	—	—	—	—	—	—
2015	21	A+ MLE	2 teams	—	685	658	178	35	7	16	17	155	5	31	15	271	301	418	719	147	318	23	2	310	96	—	—	—	—	—	—
2016	22	AA MLE	4 teams	—	658	627	201	25	10	7	22	93	4	28	18	321	350	426	776	105	361	14	3	336	113	—	—	—	—	—	—
2017	23	AAA MLE	3 teams	—	503	477	143	31	8	3	18	104	3	18	6	300	329	417	746	117	378	21	4	324	105	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	500	470	121	31	9	8	24	119	2	21	3	257	296	413	709	155	326	24	5	306	93	—	—	—	—	—	—
2019	25	MLB MLE	Colorado Rockies	—	447	423	110	22	3	8	21	100	0	9	3	260	293	383	676	123	341	22	5	304	92	—	—	—	—	—	—
2020	26	MLB MLE	Colorado Rockies	—	206	188	56	8	1	1	14	38	2	8	2	298	356	367	723	69	392	18	7	328	108	—	—	—	—	—	—
2021	27	MLB MLE	Colorado Rockies	—	533	489	127	25	1	5	38	70	1	20	6	260	314	346	660	86	306	13	7	301	90	—	—	—	—	—	—
2022	28	MLB MLE	Toronto Blue Jays	—	433	414	109	20	3	7	16	81	0	8	2	263	291	377	668	114	315	19	4	294	85	—	—	—	—	—	—
2023	29	MLB MLE	3 teams	—	338	301	69	8	1	6	33	85	1	22	5	229	310	322	633	93	299	25	10	290	82	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2027	1879	514	95	16	29	120	383	6	63	17	274	318	387	706	114	328	19	6	313	78	-5	+6	-8	-22	+44	1.6
/ 162G	—	A+C		—	650	603	164	30	5	9	38	123	2	20	5	272	316	383	699	111	327	19	6	313	78	-1	+2	-2	-7	+14	0.5
Career	—	MLE		—	6072	5642	1553	274	53	76	290	1172	46	255	106	275	316	383	699	108	332	19	5	283	78	-5	+6	-8	-22	+44	1.6
/ 162G	—	MLE		—	650	604	166	29	6	8	31	125	5	27	11	275	315	382	698	108	332	19	5	283	78	-1	+2	-2	-7	+14	0.5

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.

2023 AAADurham Bulls · 124 PAwOBA .350 → .283 (−67)K% 22.6% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.58%	÷1.009	×1.200	—	—	26.87%
BB% (unintentional) /PA	14.52%	÷1.011	×0.690	—	×0.982	9.72%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	27.63%	÷1.006	×0.930	×1.034	×0.982	25.94%
Doubles /BIP	3.95%	÷1.020	×0.830	×1.034	×0.982	3.26%
Triples /BIP	0.00%	÷1.003	×0.970	×1.034	×0.982	0.00%
Home runs /BIP	5.26%	÷1.137	×0.700	—	×0.982	3.18%

Factors used: league row International League. Park (home-season share, regressed): HR 127, 1B 101, 2B 104, 3B 101, K 102, BB 102 — 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 ×1.034.

Result: wOBA .350 → .283; ISO .144 → .097; BABIP .324 → .294. 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 AAAAlbuquerque Isotopes · 473 PAwOBA .358 → .307 (−51)K% 18.0% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.97%	÷0.978	×1.290	—	—	23.71%
BB% (unintentional) /PA	6.34%	÷1.024	×0.710	—	×1.048	4.61%
HBP% /PA	0.42%	—	×0.980	—	×1.048	0.43%
Singles /BIP	22.35%	÷1.034	×0.900	×1.049	×1.048	21.38%
Doubles /BIP	9.46%	÷0.960	×0.810	×1.049	×1.048	8.77%
Triples /BIP	2.58%	÷0.973	×0.810	×1.049	×1.048	2.36%
Home runs /BIP	3.15%	÷1.162	×0.780	—	×1.048	2.22%

Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 107, 2B 92, 3B 95, K 96, BB 105 — 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 ×1.049.

Result: wOBA .358 → .307; ISO .194 → .156; BABIP .354 → .331. 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 AAAAlbuquerque Isotopes · 277 PAwOBA .395 → .330 (−65)K% 15.2% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.16%	÷0.956	×1.290	—	—	20.46%
BB% (unintentional) /PA	4.33%	÷0.996	×0.710	—	×1.050	3.24%
HBP% /PA	0.00%	—	×0.980	—	×1.050	0.00%
Singles /BIP	30.32%	÷1.019	×0.900	×1.018	×1.050	28.63%
Doubles /BIP	9.05%	÷1.045	×0.810	×1.018	×1.050	7.50%
Triples /BIP	3.62%	÷1.150	×0.810	×1.018	×1.050	2.73%
Home runs /BIP	0.90%	÷1.202	×0.780	—	×1.050	0.62%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 104, 2B 109, 3B 130, K 91, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .395 → .330; ISO .160 → .119; BABIP .432 → .389. 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 AAHartford Yard Goats · 457 PAwOBA .350 → .349 (−1)K% 10.7% → 12.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.72%	÷1.022	×1.220	—	—	12.80%
BB% (unintentional) /PA	5.03%	÷1.007	×0.700	—	×1.042	3.65%
HBP% /PA	0.66%	—	×0.850	—	×1.042	0.58%
Singles /BIP	27.73%	÷0.981	×0.970	×1.050	×1.042	30.01%
Doubles /BIP	5.33%	÷1.021	×0.860	×1.050	×1.042	4.91%
Triples /BIP	1.33%	÷0.900	×0.950	×1.050	×1.042	1.54%
Home runs /BIP	2.13%	÷1.094	×0.780	—	×1.042	1.58%

Factors used: league row EL. Park (home-season share, regressed): HR 119, 1B 96, 2B 104, 3B 80, K 104, BB 101 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .350 → .349; ISO .127 → .114; BABIP .349 → .368. 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 AAAAlbuquerque Isotopes · 110 PAwOBA .365 → .314 (−51)K% 10.9% → 14.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.91%	÷0.948	×1.290	—	—	14.84%
BB% (unintentional) /PA	1.82%	÷1.083	×0.710	—	×1.050	1.25%
HBP% /PA	0.91%	—	×0.980	—	×1.050	0.94%
Singles /BIP	28.26%	÷1.032	×0.900	×1.010	×1.050	26.15%
Doubles /BIP	5.43%	÷1.050	×0.810	×1.010	×1.050	4.45%
Triples /BIP	5.43%	÷1.150	×0.810	×1.010	×1.050	4.06%
Home runs /BIP	0.00%	÷1.202	×0.780	—	×1.050	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 106, 2B 110, 3B 130, K 90, BB 117 — 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 ×1.010.

Result: wOBA .365 → .314; ISO .144 → .110; BABIP .379 → .336. 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 A+Modesto Nuts · 593 PAwOBA .340 → .310 (−30)K% 17.7% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.71%	÷1.046	×1.340	—	—	22.68%
BB% (unintentional) /PA	3.54%	÷1.043	×0.710	—	×1.027	2.47%
HBP% /PA	0.84%	—	×0.790	—	×1.027	0.68%
Singles /BIP	25.28%	÷1.014	×0.910	×1.010	×1.027	23.53%
Doubles /BIP	7.74%	÷0.963	×0.820	×1.010	×1.027	6.84%
Triples /BIP	2.05%	÷1.150	×0.760	×1.010	×1.027	1.41%
Home runs /BIP	2.73%	÷0.827	×0.920	—	×1.027	3.12%

Factors used: league row CAL. Park (home-season share, regressed): HR 65, 1B 103, 2B 93, 3B 130, K 109, BB 109 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .340 → .310; ISO .162 → .154; BABIP .350 → .318. 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 AAsheville Tourists · 539 PAwOBA .359 → .307 (−52)K% 16.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.70%	÷0.978	×1.340	—	—	22.88%
BB% (unintentional) /PA	6.12%	÷0.984	×0.660	—	×1.030	4.23%
HBP% /PA	2.04%	—	×0.770	—	×1.030	1.62%
Singles /BIP	29.41%	÷1.002	×0.920	×1.048	×1.030	29.15%
Doubles /BIP	8.18%	÷1.135	×0.820	×1.048	×1.030	6.38%
Triples /BIP	0.26%	÷0.900	×0.940	×1.048	×1.030	0.29%
Home runs /BIP	2.30%	÷1.390	×0.820	—	×1.030	1.40%

Factors used: league row SAL. Park (home-season share, regressed): HR 178, 1B 100, 2B 127, 3B 80, K 96, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .359 → .307; ISO .127 → .089; BABIP .383 → .359. 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 ROKGrand Junction Rockies · 286 PAwOBA .402 → .323 (−78)K% 10.8% → 15.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.84%	÷1.000	×1.440	—	—	15.61%
BB% (unintentional) /PA	4.55%	÷1.000	×0.610	—	×1.008	2.79%
HBP% /PA	1.75%	—	×0.720	—	×1.008	1.27%
Singles /BIP	25.99%	÷1.000	×0.820	×1.050	×1.008	22.55%
Doubles /BIP	8.81%	÷1.000	×0.720	×1.050	×1.008	6.71%
Triples /BIP	2.64%	÷1.000	×0.720	×1.050	×1.008	2.01%
Home runs /BIP	3.08%	÷1.000	×0.750	—	×1.008	2.33%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .402 → .323; ISO .205 → .158; BABIP .381 → .316. 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 — .