Yadiel Rivera

PosSS

B/TR/R

Born1992-05-02

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	SB	wRC+	WAR
2023	31	INTLCangrejeros d…	46	.024/.130/.024	1	-48	—
2024	32	INTLCangrejeros d…	119	.255/.301/.274	3	58	—
2025	33	INTLIndios de May…	53	.130/.184/.152	0	-12	—

Contract

No contract data on file.

Skills · percentileStatcast 2018-2020

Speed81

Avg EV31

Barrel%10

xwOBA10

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)
2010	18	ROK	AZL Brewers	—	218	206	43	8	1	0	9	72	1	6	2	209	245	257	503	49	316	33	4	228	-11	—	—	—	—	—	—
2011	19	A	Wisconsin Timber Rattlers	—	111	103	20	2	1	1	4	34	0	0	0	194	224	262	486	68	279	31	4	212	4	—	—	—	—	—	—
2011	19	ROK	Helena Brewers	—	349	330	82	14	7	8	14	91	3	7	3	248	285	406	691	158	320	26	4	303	26	—	—	—	—	—	—
2012	20	A	Wisconsin Timber Rattlers	—	506	465	115	26	5	12	26	119	4	7	3	247	293	402	695	155	304	24	5	302	49	—	—	—	—	—	—
2012	20	INTL	Cangrejeros de Santurce	—	49	49	17	2	1	0	0	16	0	1	0	347	347	429	776	82	515	33	0	344	119	—	—	—	—	—	—
2013	21	A+	Brevard County Manatees	—	524	478	115	16	2	5	32	80	9	13	8	241	301	314	614	73	279	15	6	279	49	—	—	—	—	—	—
2014	22	AA	Huntsville Stars	—	196	183	48	9	6	2	10	36	1	5	2	262	304	410	714	148	317	18	5	312	86	—	—	—	—	—	—
2014	22	A+	Brevard County Manatees	—	254	231	59	8	2	3	16	50	4	5	3	255	315	346	661	91	311	20	6	297	56	—	—	—	—	—	—
2014	22	INTL	Puerto Rico	—	139	123	30	4	2	2	10	27	2	1	5	244	311	358	669	114	292	19	7	294	85	—	—	—	—	—	—
2015	23	MLB	Milwaukee Brewers	—	15	14	1	0	0	0	0	4	0	0	0	71	71	71	143		100	27	0	60	-73	-3	+0	+1	+2	+0	0.1
2015	23	AAA	Colorado Springs Sky Sox	—	306	290	69	8	4	1	10	53	2	4	3	238	268	303	572	66	286	17	3	255	30	—	—	—	—	—	—
2015	23	AA	Biloxi Shuckers	—	208	184	51	9	3	1	17	30	2	8	7	277	345	375	720	98	327	14	8	318	81	—	—	—	—	—	—
2015	23	INTL	Puerto Rico	—	171	154	35	5	2	1	14	40	2	10	6	227	300	305	605	78	301	23	8	277	74	—	—	—	—	—	—
2016	24	MLB	Milwaukee Brewers	—	71	66	14	4	0	0	2	20	0	0	0	212	235	273	508	61	304	28	3	219	38	-5	+0	+2	+2	+2	0.0
2016	24	AAA	Colorado Springs Sky Sox	—	326	304	69	7	8	2	10	78	6	4	3	227	266	322	588	95	294	24	3	259	28	—	—	—	—	—	—
2016	24	INTL	Puerto Rico	—	110	98	24	6	1	0	6	22	1	4	0	245	295	327	622	82	312	20	5	269	68	—	—	—	—	—	—
2017	25	AAA	Colorado Springs Sky Sox	—	414	376	82	15	3	5	30	104	4	5	2	218	283	314	597	96	287	25	7	270	29	—	—	—	—	—	—
2017	25	ROK	AZL Brewers	—	21	21	8	0	0	1	0	2	0	0	1	381	381	524	905	143	389	10	0	401	78	—	—	—	—	—	—
2017	25	INTL	Indios de Mayaguez	—	55	47	9	1	0	0	5	11	2	0	0	191	296	213	509	21	243	20	9	245	52	—	—	—	—	—	—
2018	26	MLB	Miami Marlins	—	160	139	24	3	0	1	19	51	0	2	1	173	272	216	488	43	258	32	12	233	38	-12	+0	+5	+1	+3	-0.3
2018	26	INTL	Criollos de Caguas	—	92	83	16	2	0	1	7	18	1	0	3	193	264	253	517	60	234	20	8	239	48	—	—	—	—	—	—
2019	27	MLB	Miami Marlins	—	66	60	11	2	0	0	6	20	0	2	0	183	258	217	474	33	275	30	9	226	43	-5	+0	+1	+2	+1	-0.0
2019	27	AAA	New Orleans Baby Cakes	—	312	300	88	11	1	14	6	81	2	15	6	293	312	477	788	183	357	26	2	342	61	—	—	—	—	—	—
2019	27	INTL	Atenienses de Manati	—	112	99	20	5	0	3	7	24	0	5	2	202	255	343	598	141	233	21	6	254	58	—	—	—	—	—	—
2021	29	AAA	Sugar Land Skeeters	—	73	69	16	2	0	0	2	17	0	2	1	232	254	261	514	29	302	23	3	228	24	—	—	—	—	—	—
2021	29	INTL	Criollos de Caguas	—	30	28	4	0	0	0	1	10	0	0	0	143	172	143	315		211	33	3	144	-16	—	—	—	—	—	—
2022	30	AAA	Reno Aces	—	85	79	15	1	0	2	5	21	0	2	0	190	238	278	517	89	228	25	6	233	9	—	—	—	—	—	—
2022	30	INTL	RA12	—	188	171	52	7	0	2	7	36	5	9	4	304	350	380	730	76	370	19	4	322	104	—	—	—	—	—	—
2023	31	INTL	Cangrejeros de Santurce	—	46	41	1	0	0	0	3	12	2	1	1	24	130	24	155		34	26	7	97	-48	—	—	—	—	—	—
2024	32	INTL	Cangrejeros de Santurce	—	119	106	27	2	0	0	3	28	4	3	3	255	301	274	574	19	333	24	3	254	58	—	—	—	—	—	—
2025	33	INTL	Indios de Mayaguez	—	53	46	6	1	0	0	1	14	2	0	0	130	184	152	336	22	188	26	2	151	-12	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	312	279	50	9	0	1	27	95	0	4	1	179	252	222	474	43	265	30	9	220	35	-24	+0	+9	+7	+7	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	18	ROK MLE	AZL Brewers	—	218	209	30	5	1	0	6	104	1	6	2	144	171	177	348	33	270	48	3	152	-11	—	—	—	—	—	—
2011	19	A MLE	Wisconsin Timber Rattlers	—	111	104	18	2	1	1	3	46	0	0	0	173	196	240	437	67	273	41	3	174	4	—	—	—	—	—	—
2011	19	ROK MLE	Helena Brewers	—	349	335	59	9	5	5	9	131	3	7	3	176	205	278	482	101	266	38	3	206	26	—	—	—	—	—	—
2012	20	A MLE	Wisconsin Timber Rattlers	—	506	472	96	21	4	9	19	162	4	7	3	203	240	322	562	119	273	32	4	241	49	—	—	—	—	—	—
2013	21	A+ MLE	Brevard County Manatees	—	524	486	103	15	1	4	24	118	9	13	8	212	262	272	534	60	269	23	5	241	49	—	—	—	—	—	—
2014	22	AA MLE	Huntsville Stars	—	196	186	49	9	6	2	7	43	1	5	2	263	294	409	702	145	329	22	4	296	86	—	—	—	—	—	—
2014	22	A+ MLE	Brevard County Manatees	—	254	235	53	8	2	3	12	75	4	5	3	226	275	315	590	89	302	30	5	251	56	—	—	—	—	—	—
2015	23	MLB MLE	Milwaukee Brewers	—	15	14	1	0	0	0	0	4	0	0	0	71	71	71	143		100	27	0	61	-73	-3	+0	+1	+2	+0	0.1
2015	23	AAA MLE	Colorado Springs Sky Sox	—	306	293	61	6	3	1	7	70	2	4	3	208	232	259	491	51	261	23	2	213	30	—	—	—	—	—	—
2015	23	AA MLE	Biloxi Shuckers	—	208	189	50	9	3	1	12	38	2	8	7	265	315	360	675	95	316	18	6	288	81	—	—	—	—	—	—
2016	24	MLB MLE	Milwaukee Brewers	—	71	66	14	4	0	0	2	20	0	0	0	212	235	273	508	61	304	28	3	225	38	-5	+0	+2	+2	+2	0.0
2016	24	AAA MLE	Colorado Springs Sky Sox	—	326	307	58	5	6	2	7	104	6	4	3	189	222	264	486	75	265	32	2	209	28	—	—	—	—	—	—
2017	25	AAA MLE	Colorado Springs Sky Sox	—	414	385	68	10	2	4	21	141	4	5	2	177	227	244	471	68	261	34	5	211	29	—	—	—	—	—	—
2017	25	ROK MLE	AZL Brewers	—	21	21	6	0	0	1	0	3	0	0	1	286	286	429	714	143	297	14	0	284	78	—	—	—	—	—	—
2018	26	MLB MLE	Miami Marlins	—	160	142	24	3	0	1	16	51	0	2	1	169	253	211	464	42	258	32	10	225	38	-12	+0	+5	+1	+3	-0.3
2019	27	MLB MLE	Miami Marlins	—	66	60	11	2	0	0	6	20	0	2	0	183	258	217	474	33	275	30	9	231	43	-5	+0	+1	+2	+1	-0.0
2019	27	AAA MLE	New Orleans Baby Cakes	—	312	302	72	9	1	9	4	110	2	15	6	238	253	364	617	126	328	35	1	259	61	—	—	—	—	—	—
2021	29	AAA MLE	Sugar Land Skeeters	—	73	70	15	2	0	0	1	20	0	2	1	214	225	243	468	29	282	27	1	203	24	—	—	—	—	—	—
2022	30	AAA MLE	Reno Aces	—	85	81	13	1	0	1	3	25	0	2	0	160	190	210	400	49	202	29	4	182	9	—	—	—	—	—	—
2010	18	ROK MLE	AZL Brewers	—	218	209	30	5	1	0	6	104	1	6	2	144	171	177	348	33	280	48	3	152	-11	—	—	—	—	—	—
2010	18	ROK RAW	AZL Brewers	—	218	206	43	8	1	0	9	72	1	6	2	209	245	257	503	49	316	33	4	228	-11	—	—	—	—	—	—
2011	19	ROK MLE	2 teams	—	460	439	77	11	6	6	12	177	3	7	3	175	203	269	471	93	277	38	3	198	20	—	—	—	—	—	—
2011	19	ROK RAW	2 teams	—	460	433	102	16	8	9	18	125	3	7	3	236	271	372	643	136	311	27	4	281	20	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	555	519	105	23	4	10	21	178	4	8	3	202	239	320	559	118	283	32	4	241	49	—	—	—	—	—	—
2012	20	A RAW	2 teams	—	555	514	132	28	6	12	26	135	4	8	3	257	298	405	702	148	323	24	5	305	49	—	—	—	—	—	—
2013	21	A+ MLE	Brevard County Manatees	—	524	486	103	15	1	4	24	118	9	13	8	212	262	272	534	60	271	23	5	241	49	—	—	—	—	—	—
2013	21	A+ RAW	Brevard County Manatees	—	524	478	115	16	2	5	32	80	9	13	8	241	301	314	614	73	279	15	6	279	49	—	—	—	—	—	—
2014	22	A+ MLE	3 teams	—	589	549	131	22	11	5	24	155	7	11	10	239	279	346	625	107	321	26	4	271	69	—	—	—	—	—	—
2014	22	A+ RAW	3 teams	—	589	537	137	21	10	7	36	113	7	11	10	255	310	371	681	115	309	19	6	301	69	—	—	—	—	—	—
2015	23	AAA MLE	4 teams	—	700	658	147	20	8	2	25	147	6	22	16	223	258	287	546	64	284	21	4	238	47	—	—	—	—	—	—
2015	23	AAA RAW	4 teams	—	700	642	156	22	9	3	41	127	6	22	16	243	295	319	614	76	298	18	6	275	47	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	507	474	92	12	7	2	12	159	7	8	3	194	225	262	487	68	283	31	2	212	30	—	—	—	—	—	—
2016	24	AAA RAW	3 teams	—	507	468	107	17	9	2	18	120	7	8	3	229	268	316	584	88	299	24	4	256	30	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	490	456	83	12	2	5	23	162	6	5	3	182	231	250	481	68	268	33	5	215	31	—	—	—	—	—	—
2017	25	AAA RAW	3 teams	—	490	444	99	16	3	6	35	117	6	5	3	223	289	313	602	90	288	24	7	273	31	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	252	223	39	5	0	2	25	80	1	2	4	175	261	224	485	49	259	32	10	225	38	-19	-1	+5	+1	+5	-0.9
2018	26	MLB RAW	2 teams	—	252	222	40	5	0	2	26	69	1	2	4	180	269	230	499	50	248	27	10	235	38	-19	-1	+5	+1	+5	-0.9
2019	27	AAA MLE	3 teams	—	490	465	107	14	1	12	13	169	2	22	8	230	254	342	596	112	331	34	3	254	58	—	—	—	—	—	—
2019	27	AAA RAW	3 teams	—	490	459	119	18	1	17	19	125	2	22	8	259	292	414	706	155	319	26	4	306	58	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	103	98	21	3	0	0	2	29	0	2	1	214	230	245	475	31	296	28	2	203	24	—	—	—	—	—	—
2021	29	AAA RAW	2 teams	—	103	97	20	2	0	0	3	27	0	2	1	206	230	227	457	21	278	26	3	203	24	—	—	—	—	—	—
2022	30	INTL MLE	2 teams	—	273	251	41	3	0	4	11	81	5	11	4	163	213	223	437	60	219	30	4	182	9	—	—	—	—	—	—
2022	30	INTL RAW	2 teams	—	273	250	67	8	0	4	12	57	5	11	4	268	315	348	663	80	328	21	4	295	9	—	—	—	—	—	—
2023	31	INTL MLE	Cangrejeros de Santurce	—	46	41	1	0	0	0	3	12	2	1	1	24	130	24	155		34	26	7	—	—	—	—	—	—	—	—
2023	31	INTL RAW	Cangrejeros de Santurce	—	46	41	1	0	0	0	3	12	2	1	1	24	130	24	155		34	26	7	97	-48	—	—	—	—	—	—
2024	32	INTL MLE	Cangrejeros de Santurce	—	119	106	27	2	0	0	3	28	4	3	3	255	301	274	574	19	333	24	3	—	—	—	—	—	—	—	—
2024	32	INTL RAW	Cangrejeros de Santurce	—	119	106	27	2	0	0	3	28	4	3	3	255	301	274	574	19	333	24	3	254	58	—	—	—	—	—	—
2025	33	INTL MLE	Indios de Mayaguez	—	53	46	6	1	0	0	1	14	2	0	0	130	184	152	336	22	188	26	2	—	—	—	—	—	—	—	—
2025	33	INTL RAW	Indios de Mayaguez	—	53	46	6	1	0	0	1	14	2	0	0	130	184	152	336	22	188	26	2	151	-12	—	—	—	—	—	—
2010	18	ROK MLE	AZL Brewers	—	218	209	30	5	1	0	6	104	1	6	2	144	171	177	348	33	270	48	3	152	-11	—	—	—	—	—	—
2011	19	ROK MLE	2 teams	—	460	442	77	11	6	6	12	177	3	7	3	174	203	267	470	93	268	38	3	198	20	—	—	—	—	—	—
2012	20	A MLE	2 teams	—	555	525	105	23	4	10	21	178	4	8	3	200	239	316	555	116	273	32	4	241	49	—	—	—	—	—	—
2013	21	A+ MLE	Brevard County Manatees	—	524	486	103	15	1	4	24	118	9	13	8	212	262	272	534	60	269	23	5	241	49	—	—	—	—	—	—
2014	22	A+ MLE	3 teams	—	589	553	131	22	11	5	24	155	7	11	10	237	279	344	623	107	314	26	4	271	69	—	—	—	—	—	—
2015	23	AAA MLE	4 teams	—	700	663	147	20	8	2	25	147	6	22	16	222	258	285	543	63	278	21	4	238	47	—	—	—	—	—	—
2016	24	AAA MLE	3 teams	—	507	483	92	12	7	2	12	159	7	8	3	190	225	257	482	66	272	31	2	212	30	—	—	—	—	—	—
2017	25	AAA MLE	3 teams	—	490	458	83	12	2	5	23	162	6	5	3	181	231	249	480	68	263	33	5	215	31	—	—	—	—	—	—
2018	26	MLB MLE	2 teams	—	252	224	39	5	0	2	25	80	1	2	4	174	261	223	484	49	258	32	10	225	38	—	—	—	—	—	—
2019	27	AAA MLE	3 teams	—	490	472	107	14	1	12	13	169	2	22	8	227	254	337	591	110	319	34	3	254	58	—	—	—	—	—	—
2021	29	AAA MLE	2 teams	—	103	100	21	3	0	0	2	29	0	2	1	210	230	240	470	30	282	28	2	203	24	—	—	—	—	—	—
2022	30	INTL MLE	2 teams	—	273	255	41	3	0	4	11	81	5	11	4	161	213	220	433	59	202	30	4	182	9	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	312	279	50	9	0	1	27	95	0	4	1	179	252	222	474	43	265	30	9	220	34	-24	+0	+9	+7	+7	-0.1
/ 162G	—	A+C		—	650	581	104	19	0	2	56	198	0	8	2	179	251	222	473	43	265	30	9	220	34	-50	+1	+18	+15	+14	-0.3
Career	—	MLE		—	5379	5020	1010	148	41	52	205	1613	59	121	69	201	241	278	519	77	283	30	4	218	34	-24	+0	+9	+7	+7	-0.1
/ 162G	—	MLE		—	650	607	122	18	5	6	25	195	7	15	8	201	241	277	518	76	283	30	4	218	34	-50	+1	+18	+15	+14	-0.3

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.

2022 AAAReno Aces · 85 PAwOBA .229 → .182 (−47)K% 24.7% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.71%	÷1.004	×1.200	—	—	29.52%
BB% (unintentional) /PA	5.88%	÷1.020	×0.690	—	×0.972	3.87%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	20.69%	÷1.025	×0.930	×1.019	×0.972	18.60%
Doubles /BIP	1.72%	÷0.996	×0.830	×1.019	×0.972	1.42%
Triples /BIP	0.00%	÷1.100	×0.970	×1.019	×0.972	0.00%
Home runs /BIP	3.45%	÷0.965	×0.700	—	×0.972	2.43%

Factors used: league row International League. Park (home-season share, regressed): HR 93, 1B 105, 2B 99, 3B 120, K 101, BB 104 — 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 ×1.019.

Result: wOBA .229 → .182; ISO .089 → .062; BABIP .228 → .202. 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).

2021 AAASugar Land Skeeters · 73 PAwOBA .225 → .203 (−22)K% 23.3% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.29%	÷1.002	×1.200	—	—	27.90%
BB% (unintentional) /PA	2.74%	÷0.975	×0.690	—	×0.982	1.90%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	26.92%	÷1.023	×0.930	×1.050	×0.982	25.24%
Doubles /BIP	3.85%	÷0.923	×0.830	×1.050	×0.982	3.56%
Triples /BIP	0.00%	÷1.150	×0.920	×1.050	×0.982	0.00%
Home runs /BIP	0.00%	÷0.935	×0.700	—	×0.982	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 105, 2B 85, 3B 130, K 100, BB 95 — 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 ×1.050.

Result: wOBA .225 → .203; ISO .029 → .026; BABIP .302 → .282. 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 AAANew Orleans Baby Cakes · 312 PAwOBA .334 → .259 (−75)K% 26.0% → 35.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.96%	÷0.950	×1.290	—	—	35.27%
BB% (unintentional) /PA	1.92%	÷1.085	×0.710	—	×1.003	1.26%
HBP% /PA	0.64%	—	×0.980	—	×1.003	0.63%
Singles /BIP	28.31%	÷0.971	×0.900	×1.021	×1.003	26.89%
Doubles /BIP	5.02%	÷0.952	×0.810	×1.021	×1.003	4.38%
Triples /BIP	0.46%	÷0.900	×0.810	×1.021	×1.003	0.42%
Home runs /BIP	6.39%	÷1.100	×0.780	—	×1.003	4.55%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 94, 2B 90, 3B 80, K 90, BB 117 — 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 ×1.021.

Result: wOBA .334 → .259; ISO .183 → .123; BABIP .357 → .328. 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 AAAColorado Springs Sky Sox · 414 PAwOBA .262 → .211 (−51)K% 25.1% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.12%	÷0.953	×1.290	—	—	34.00%
BB% (unintentional) /PA	6.76%	÷0.995	×0.710	—	×1.033	4.99%
HBP% /PA	0.97%	—	×0.980	—	×1.033	0.98%
Singles /BIP	21.69%	÷1.018	×0.900	×1.050	×1.033	20.80%
Doubles /BIP	5.51%	÷1.163	×0.810	×1.050	×1.033	4.17%
Triples /BIP	1.10%	÷1.150	×0.810	×1.050	×1.033	0.84%
Home runs /BIP	1.84%	÷0.933	×0.780	—	×1.033	1.59%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 104, 2B 133, 3B 130, K 91, BB 99 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .262 → .211; ISO .096 → .070; BABIP .287 → .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).

2017 ROKAZL Brewers · 21 PAwOBA .389 → .284 (−105)K% 9.5% → 13.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷1.000	×1.440	—	—	13.71%
BB% (unintentional) /PA	0.00%	÷1.000	×0.620	—	×0.945	0.00%
HBP% /PA	0.00%	—	×0.720	—	×0.945	0.00%
Singles /BIP	36.84%	÷1.000	×0.820	—	×0.945	28.55%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	5.26%	÷1.000	×0.780	—	×0.945	3.88%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .389 → .284; ISO .143 → .100; BABIP .389 → .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).

2016 AAAColorado Springs Sky Sox · 326 PAwOBA .255 → .209 (−46)K% 23.9% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.93%	÷0.964	×1.290	—	—	32.02%
BB% (unintentional) /PA	3.07%	÷1.052	×0.710	—	×1.048	2.17%
HBP% /PA	1.84%	—	×0.980	—	×1.048	1.89%
Singles /BIP	23.01%	÷1.046	×0.900	×1.050	×1.048	21.78%
Doubles /BIP	3.10%	÷1.196	×0.810	×1.050	×1.048	2.31%
Triples /BIP	3.54%	÷1.150	×0.810	×1.050	×1.048	2.74%
Home runs /BIP	0.88%	÷0.973	×0.780	—	×1.048	0.74%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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 ×1.050.

Result: wOBA .255 → .209; ISO .095 → .069; BABIP .294 → .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).

2015 AAAColorado Springs Sky Sox · 306 PAwOBA .250 → .213 (−36)K% 17.3% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.32%	÷0.979	×1.290	—	—	22.82%
BB% (unintentional) /PA	3.27%	÷1.015	×0.710	—	×1.050	2.40%
HBP% /PA	0.65%	—	×0.980	—	×1.050	0.67%
Singles /BIP	23.63%	÷1.044	×0.900	×1.050	×1.050	22.46%
Doubles /BIP	3.38%	÷1.214	×0.810	×1.050	×1.050	2.48%
Triples /BIP	1.69%	÷1.150	×0.810	×1.050	×1.050	1.31%
Home runs /BIP	0.42%	÷0.886	×0.780	—	×1.050	0.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 77, 1B 109, 2B 143, 3B 130, K 96, BB 103 — 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 ×1.050.

Result: wOBA .250 → .213; ISO .066 → .049; BABIP .286 → .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).

2015 AABiloxi Shuckers · 208 PAwOBA .310 → .288 (−22)K% 14.4% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.42%	÷0.973	×1.220	—	—	18.08%
BB% (unintentional) /PA	8.17%	÷1.018	×0.680	—	×1.027	5.61%
HBP% /PA	0.96%	—	×0.840	—	×1.027	0.83%
Singles /BIP	24.68%	÷1.030	×0.920	×1.034	×1.027	23.41%
Doubles /BIP	5.84%	÷0.943	×0.910	×1.034	×1.027	5.99%
Triples /BIP	1.95%	÷0.900	×0.880	×1.034	×1.027	2.02%
Home runs /BIP	0.65%	÷1.084	×0.800	—	×1.027	0.49%

Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 106, 2B 89, 3B 80, K 95, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.

Result: wOBA .310 → .288; ISO .098 → .098; BABIP .327 → .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 — .