Robinson Chirinos

PosC

B/TR/R

Born1984-06-05

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2020	36	MLBNYM	82	.162/.235/.243	1	0	39	-0.3
2021	37	AAAScranton/Wilk…	45	.278/.422/.556	3	0	87	—	.200/.289/.375
2021	37	MLBCHC	112	.227/.324/.454	5	0	118	1.0
2022	38	INTLNavegantes de…	115	.220/.322/.440	5	1	116	—
2022	38	MLBBAL	220	.179/.266/.287	4	1	56	-1.1
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Barrel%35

xwOBA10

Avg EV10

Speed10

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	21	A+	Daytona Cubs	—	253	231	63	6	0	7	16	42	3	3	4	273	328	390	718	117	304	17	6	320	72	—	—	—	—	—	—
2006	22	A	Peoria Chiefs	—	529	433	105	30	2	9	69	79	14	19	10	242	364	383	748	141	274	15	13	334	70	—	—	—	—	—	—
2007	23	AA	Tennessee Smokies	—	146	127	28	4	2	2	13	31	1	1	1	220	298	331	629	110	277	21	9	277	51	—	—	—	—	—	—
2007	23	A+	Daytona Cubs	—	293	239	62	14	2	3	37	48	12	8	5	259	385	372	758	113	314	16	13	345	86	—	—	—	—	—	—
2008	24	AA	Tennessee Smokies	—	117	103	25	7	3	0	10	18	0	0	0	243	310	369	679	126	287	15	9	294	65	—	—	—	—	—	—
2008	24	A+	Daytona Cubs	—	156	120	34	4	2	5	26	21	6	3	1	283	434	475	909	192	305	13	17	398	118	—	—	—	—	—	—
2008	24	ROK	AZL Cubs	—	19	13	6	1	1	0	6	2	0	1	0	462	632	692	1.324	231	545	11	32	563	164	—	—	—	—	—	—
2009	25	AA	Tennessee Smokies	—	43	35	9	3	0	0	7	4	0	0	1	257	381	343	724	86	281	9	16	329	82	—	—	—	—	—	—
2009	25	A+	Daytona Cubs	—	270	227	68	13	5	11	35	40	5	2	2	300	404	546	951	247	318	15	13	411	115	—	—	—	—	—	—
2010	26	AAA	Iowa Cubs	—	62	55	20	4	0	3	2	8	5	0	0	364	435	600	1.035	236	386	13	3	455	145	—	—	—	—	—	—
2010	26	AA	Tennessee Smokies	—	318	264	84	24	0	15	42	35	5	1	5	318	421	580	1.001	261	312	11	13	427	124	—	—	—	—	—	—
2010	26	INTL	Navegantes del Magallanes	—	77	64	17	2	0	0	13	14	0	0	2	266	390	297	686	31	340	18	17	327	108	—	—	—	—	—	—
2011	27	MLB	Tampa Bay Rays	—	60	55	12	2	0	1	5	13	0	0	0	218	283	309	592	91	268	22	8	271	69	-2	+0	-4	+7	+1	0.2
2011	27	AAA	Durham Bulls	—	319	282	73	13	1	6	29	69	7	1	1	259	343	376	719	117	324	22	9	326	76	—	—	—	—	—	—
2012	28	INTL	Navegantes del Magallanes	—	23	19	3	0	0	0	4	9	0	0	0	158	304	158	462		300	39	17	239	48	—	—	—	—	—	—
2013	29	MLB	Texas Rangers	—	30	28	5	3	0	0	2	6	0	0	0	179	233	286	519	107	227	20	7	235	37	-2	+0	-1	-8	+1	-1.1
2013	29	AAA	Round Rock Express	—	311	265	68	10	2	8	38	55	4	2	0	257	358	400	758	143	294	18	12	340	65	—	—	—	—	—	—
2013	29	INTL	Venezuela	—	123	104	28	11	0	0	11	24	6	0	0	269	372	375	747	106	346	20	9	338	115	—	—	—	—	—	—
2014	30	MLB	Texas Rangers	—	338	306	73	15	0	13	17	71	7	0	1	239	294	415	709	176	265	21	5	308	86	-5	-0	+4	+6	+7	1.2
2015	31	MLB	Texas Rangers	—	273	233	54	16	1	10	28	62	5	0	0	232	327	438	765	206	270	23	10	332	101	+0	+0	-1	+5	+6	1.0
2016	32	MLB	Texas Rangers	—	170	147	33	11	0	9	15	44	5	0	1	224	317	483	800	259	250	26	9	346	110	+2	-0	-4	+4	+4	0.5
2016	32	INTL	Navegantes del Magallanes	—	61	49	11	2	0	1	6	12	5	1	0	224	367	327	693	102	278	20	10	324	105	—	—	—	—	—	—
2017	33	MLB	Texas Rangers	—	309	263	67	13	1	17	34	79	10	1	0	255	362	506	867	251	298	26	11	380	133	+12	+0	+2	+6	+7	2.7
2018	34	MLB	Texas Rangers	—	426	360	80	15	1	18	45	140	19	2	0	222	340	419	759	197	304	33	11	341	108	+4	+0	-4	+8	+9	1.8
2019	35	MLB	Houston Astros	—	437	366	87	22	1	17	51	125	13	1	2	238	351	443	794	205	306	29	12	350	121	+11	-1	+6	+8	+9	3.4
2020	36	MLB	New York Mets	—	82	74	12	3	0	1	6	21	1	0	0	162	235	243	478	81	208	26	7	221	39	-6	+0	-0	+1	+2	-0.3
2021	37	MLB	Chicago Cubs	—	112	97	22	5	1	5	9	36	5	0	0	227	324	454	778	227	304	32	8	342	118	+2	+0	+2	+3	+2	1.0
2021	37	AAA	Scranton/Wilkes-Barre RailRiders	—	45	36	10	1	0	3	9	16	0	0	0	278	422	556	978	278	412	36	20	427	87	—	—	—	—	—	—
2022	38	MLB	Baltimore Orioles	—	220	195	35	9	0	4	19	67	4	1	0	179	266	287	553	108	248	30	9	254	56	-12	+0	-10	+6	+5	-1.1
2022	38	INTL	Navegantes del Magallanes	—	115	100	22	7	0	5	12	31	3	1	0	220	322	440	762	220	266	27	10	339	116	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2457	2124	480	114	5	95	231	664	69	5	4	226	322	419	740	193	278	27	9	328	108	+23	-1	-10	+45	+53	11.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2005	21	A+ MLE	Daytona Cubs	—	253	235	57	6	0	6	12	60	3	3	4	243	288	345	633	102	288	24	5	274	72	—	—	—	—	—	—
2006	22	A MLE	Peoria Chiefs	—	529	454	93	25	2	7	48	107	14	19	10	205	300	315	615	110	238	20	9	271	70	—	—	—	—	—	—
2007	23	AA MLE	Tennessee Smokies	—	146	132	28	4	2	2	8	38	1	1	1	212	262	318	581	106	267	26	5	244	51	—	—	—	—	—	—
2007	23	A+ MLE	Daytona Cubs	—	293	248	58	13	2	3	28	68	12	8	5	234	340	339	679	105	298	23	10	295	86	—	—	—	—	—	—
2008	24	AA MLE	Tennessee Smokies	—	117	106	25	7	3	0	7	22	0	0	0	236	283	358	642	123	268	19	6	264	65	—	—	—	—	—	—
2008	24	A+ MLE	Daytona Cubs	—	156	127	32	4	2	4	19	30	6	3	1	252	375	409	784	157	281	19	12	342	118	—	—	—	—	—	—
2008	24	ROK MLE	AZL Cubs	—	19	15	6	1	1	0	4	3	0	1	0	400	526	600	1.126	200	410	16	21	411	164	—	—	—	—	—	—
2009	25	AA MLE	Tennessee Smokies	—	43	37	9	3	0	0	5	5	0	0	1	243	333	324	658	81	258	12	12	289	82	—	—	—	—	—	—
2009	25	A+ MLE	Daytona Cubs	—	270	236	59	12	4	9	26	57	5	2	2	250	337	449	786	199	281	21	10	338	115	—	—	—	—	—	—
2010	26	AAA MLE	Iowa Cubs	—	62	56	17	3	0	3	1	10	5	0	0	304	371	518	889	214	338	16	2	382	145	—	—	—	—	—	—
2010	26	AA MLE	Tennessee Smokies	—	318	282	76	20	0	12	24	45	5	1	5	270	338	468	806	199	268	14	8	352	124	—	—	—	—	—	—
2011	27	MLB MLE	Tampa Bay Rays	—	60	55	12	2	0	1	5	13	0	0	0	218	283	309	592	91	268	22	8	271	69	-2	+0	-4	+7	+1	0.2
2011	27	AAA MLE	Durham Bulls	—	319	290	67	11	1	5	21	79	7	1	1	231	299	328	626	97	300	25	7	280	76	—	—	—	—	—	—
2013	29	MLB MLE	Texas Rangers	—	30	28	5	3	0	0	2	6	0	0	0	179	233	286	519	107	227	20	7	223	37	-2	+0	-1	-8	+1	-1.1
2013	29	AAA MLE	Round Rock Express	—	311	277	57	8	2	7	26	72	4	2	0	206	283	325	608	119	243	23	8	265	65	—	—	—	—	—	—
2014	30	MLB MLE	Texas Rangers	—	338	307	71	14	0	12	16	71	7	0	1	231	285	394	679	163	265	21	5	296	86	-5	-0	+4	+6	+7	1.2
2015	31	MLB MLE	Texas Rangers	—	273	233	53	15	1	10	28	62	5	0	0	227	323	429	752	202	270	23	10	318	101	+0	+0	-1	+5	+6	1.0
2016	32	MLB MLE	Texas Rangers	—	170	147	32	10	0	9	15	44	5	0	1	218	311	469	781	252	250	26	9	331	110	+2	-0	-4	+4	+4	0.5
2017	33	MLB MLE	Texas Rangers	—	309	263	65	12	1	16	34	79	10	1	0	247	355	483	838	236	298	26	11	365	133	+12	+0	+2	+6	+7	2.7
2018	34	MLB MLE	Texas Rangers	—	426	360	78	14	1	17	45	140	19	2	0	217	335	403	738	186	304	33	11	328	108	+4	+0	-4	+8	+9	1.8
2019	35	MLB MLE	Houston Astros	—	437	367	86	21	1	17	50	125	13	1	2	234	347	436	782	202	306	29	11	347	121	+11	-1	+6	+8	+9	3.4
2020	36	MLB MLE	New York Mets	—	82	74	12	3	0	1	6	21	1	0	0	162	235	243	478	81	208	26	7	226	39	-6	+0	-0	+1	+2	-0.3
2021	37	MLB MLE	Chicago Cubs	—	112	97	22	5	1	5	9	36	5	0	0	227	324	454	778	227	304	32	8	342	118	+2	+0	+2	+3	+2	1.0
2021	37	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	45	40	8	1	0	2	5	19	0	0	0	200	289	375	664	175	341	42	11	297	87	—	—	—	—	—	—
2022	38	MLB MLE	Baltimore Orioles	—	220	195	34	8	0	4	19	67	4	1	0	174	261	277	538	103	248	30	9	251	56	-12	+0	-10	+6	+5	-1.1
2005	21	A+ MLE	Daytona Cubs	—	253	235	57	6	0	6	12	60	3	3	4	243	288	345	633	102	298	24	5	274	72	—	—	—	—	—	—
2005	21	A+ RAW	Daytona Cubs	—	253	231	63	6	0	7	16	42	3	3	4	273	328	390	718	117	304	17	6	320	72	—	—	—	—	—	—
2006	22	A MLE	Peoria Chiefs	—	529	454	93	25	2	7	48	107	14	19	10	205	300	315	615	110	249	20	9	271	70	—	—	—	—	—	—
2006	22	A RAW	Peoria Chiefs	—	529	433	105	30	2	9	69	79	14	19	10	242	364	383	748	141	274	15	13	334	70	—	—	—	—	—	—
2007	23	A+ MLE	2 teams	—	439	380	85	17	4	4	36	106	13	9	6	224	312	321	633	97	300	24	8	278	74	—	—	—	—	—	—
2007	23	A+ RAW	2 teams	—	439	366	90	18	4	5	50	79	13	9	6	246	357	358	715	112	301	18	11	322	74	—	—	—	—	—	—
2008	24	A+ MLE	3 teams	—	292	248	60	11	5	4	30	55	6	4	1	242	338	375	713	133	292	19	10	315	99	—	—	—	—	—	—
2008	24	A+ RAW	3 teams	—	292	236	65	12	6	5	42	41	6	4	1	275	398	441	839	165	311	14	14	367	99	—	—	—	—	—	—
2009	25	A+ MLE	2 teams	—	313	274	68	15	4	9	30	62	5	2	3	248	333	431	764	182	285	20	10	331	110	—	—	—	—	—	—
2009	25	A+ RAW	2 teams	—	313	262	77	16	5	11	42	44	5	2	3	294	401	519	920	225	313	14	13	400	110	—	—	—	—	—	—
2010	26	AA MLE	3 teams	—	457	409	113	28	0	18	31	66	10	1	7	276	342	477	819	200	286	14	7	357	128	—	—	—	—	—	—
2010	26	AA RAW	3 teams	—	457	383	121	30	0	18	57	57	10	1	7	316	418	535	953	219	327	12	12	414	128	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	379	345	79	13	1	6	26	92	7	1	1	229	296	325	621	96	296	24	7	279	75	—	—	—	—	—	—
2011	27	AAA RAW	2 teams	—	379	337	85	15	1	7	34	82	7	1	1	252	333	365	698	113	315	22	9	318	75	—	—	—	—	—	—
2012	28	INTL MLE	Navegantes del Magallanes	—	23	19	3	0	0	0	4	9	0	0	0	158	304	158	462		300	39	17	—	—	—	—	—	—	—	—
2012	28	INTL RAW	Navegantes del Magallanes	—	23	19	3	0	0	0	4	9	0	0	0	158	304	158	462		300	39	17	239	48	—	—	—	—	—	—
2013	29	AAA MLE	3 teams	—	464	410	82	14	2	9	38	107	10	2	0	200	284	310	594	110	246	23	8	261	63	—	—	—	—	—	—
2013	29	AAA RAW	3 teams	—	464	397	101	24	2	8	51	85	10	2	0	254	354	385	739	131	303	18	11	332	63	—	—	—	—	—	—
2014	30	MLB MLE	Texas Rangers	—	338	307	71	14	0	12	16	71	7	0	1	231	285	394	679	163	259	21	5	296	86	-5	-0	+4	+6	+7	1.2
2014	30	MLB RAW	Texas Rangers	—	338	306	73	15	0	13	17	71	7	0	1	239	294	415	709	176	265	21	5	308	86	-5	-0	+4	+6	+7	1.2
2015	31	MLB MLE	Texas Rangers	—	273	233	53	15	1	10	28	62	5	0	0	227	323	429	752	202	264	23	10	318	101	+0	+0	-1	+5	+6	1.0
2015	31	MLB RAW	Texas Rangers	—	273	233	54	16	1	10	28	62	5	0	0	232	327	438	765	206	270	23	10	332	101	+0	+0	-1	+5	+6	1.0
2016	32	MLB MLE	2 teams	—	231	197	44	14	0	12	20	60	10	1	1	223	326	477	803	254	252	26	9	331	110	+3	-0	-4	+4	+5	0.8
2016	32	MLB RAW	2 teams	—	231	196	44	13	0	10	21	56	10	1	1	224	330	444	774	219	258	24	9	340	110	+3	-0	-4	+4	+5	0.8
2017	33	MLB MLE	Texas Rangers	—	309	263	65	12	1	16	34	79	10	1	0	247	355	483	838	236	290	26	11	365	133	+12	+0	+2	+6	+7	2.7
2017	33	MLB RAW	Texas Rangers	—	309	263	67	13	1	17	34	79	10	1	0	255	362	506	867	251	298	26	11	380	133	+12	+0	+2	+6	+7	2.7
2018	34	MLB MLE	Texas Rangers	—	426	360	78	14	1	17	45	140	19	2	0	217	335	403	738	186	298	33	11	328	108	+4	+0	-4	+8	+9	1.8
2018	34	MLB RAW	Texas Rangers	—	426	360	80	15	1	18	45	140	19	2	0	222	340	419	759	197	304	33	11	341	108	+4	+0	-4	+8	+9	1.8
2019	35	MLB MLE	Houston Astros	—	437	367	86	21	1	17	50	125	13	1	2	234	347	436	782	202	300	29	11	347	121	+11	-1	+6	+8	+9	3.4
2019	35	MLB RAW	Houston Astros	—	437	366	87	22	1	17	51	125	13	1	2	238	351	443	794	205	306	29	12	350	121	+11	-1	+6	+8	+9	3.4
2020	36	MLB MLE	New York Mets	—	82	74	12	3	0	1	6	21	1	0	0	162	235	243	478	81	208	26	7	226	39	-6	+0	-0	+1	+2	-0.3
2020	36	MLB RAW	New York Mets	—	82	74	12	3	0	1	6	21	1	0	0	162	235	243	478	81	208	26	7	221	39	-6	+0	-0	+1	+2	-0.3
2021	37	MLB MLE	2 teams	—	157	137	30	6	1	7	14	55	5	0	0	219	314	431	745	212	307	35	9	329	109	+2	+0	+2	+3	+3	1.0
2021	37	MLB RAW	2 teams	—	157	133	32	6	1	8	18	52	5	0	0	241	353	481	834	241	329	33	11	367	109	+2	+0	+2	+3	+3	1.0
2022	38	MLB MLE	2 teams	—	335	297	52	13	0	6	29	102	7	2	0	175	264	279	544	104	242	30	9	251	56	-18	+0	-10	+6	+7	-1.4
2022	38	MLB RAW	2 teams	—	335	295	57	16	0	9	31	98	7	2	0	193	285	339	624	146	254	29	9	284	56	-18	+0	-10	+6	+7	-1.4
2005	21	A+ MLE	Daytona Cubs	—	253	236	57	6	0	6	12	60	3	3	4	242	288	343	631	102	288	24	5	274	72	—	—	—	—	—	—
2006	22	A MLE	Peoria Chiefs	—	529	462	93	25	2	7	48	107	14	19	10	201	300	310	610	108	238	20	9	271	70	—	—	—	—	—	—
2007	23	A+ MLE	2 teams	—	439	387	85	17	4	4	36	106	13	9	6	220	312	315	628	96	288	24	8	278	74	—	—	—	—	—	—
2008	24	A+ MLE	3 teams	—	292	254	60	11	5	4	30	55	6	4	1	236	338	366	704	130	284	19	10	315	99	—	—	—	—	—	—
2009	25	A+ MLE	2 teams	—	313	275	68	15	4	9	30	62	5	2	3	247	333	429	762	182	278	20	10	331	110	—	—	—	—	—	—
2010	26	AA MLE	3 teams	—	457	413	113	28	0	18	31	66	10	1	7	274	342	472	814	199	279	14	7	357	128	—	—	—	—	—	—
2011	27	AAA MLE	2 teams	—	379	343	79	13	1	6	26	92	7	1	1	230	296	327	623	96	295	24	7	279	75	—	—	—	—	—	—
2013	29	AAA MLE	3 teams	—	464	413	82	14	2	9	38	107	10	2	0	199	284	308	591	109	242	23	8	261	63	—	—	—	—	—	—
2014	30	MLB MLE	Texas Rangers	—	338	312	71	14	0	12	16	71	7	0	1	228	285	388	673	160	265	21	5	296	86	—	—	—	—	—	—
2015	31	MLB MLE	Texas Rangers	—	273	238	53	15	1	10	28	62	5	0	0	223	323	420	743	197	270	23	10	318	101	—	—	—	—	—	—
2016	32	MLB MLE	2 teams	—	231	199	44	14	0	12	20	60	10	1	1	221	326	472	798	251	250	26	9	331	110	—	—	—	—	—	—
2017	33	MLB MLE	Texas Rangers	—	309	262	65	12	1	16	34	79	10	1	0	248	355	485	840	237	298	26	11	365	133	—	—	—	—	—	—
2018	34	MLB MLE	Texas Rangers	—	426	359	78	14	1	17	45	140	19	2	0	217	335	404	739	187	304	33	11	328	108	—	—	—	—	—	—
2019	35	MLB MLE	Houston Astros	—	437	371	86	21	1	17	50	125	13	1	2	232	347	431	778	199	306	29	11	347	121	—	—	—	—	—	—
2020	36	MLB MLE	New York Mets	—	82	75	12	3	0	1	6	21	1	0	0	160	235	240	475	80	208	26	7	226	39	—	—	—	—	—	—
2021	37	MLB MLE	2 teams	—	157	137	30	6	1	7	14	55	5	0	0	219	314	431	745	212	314	35	9	329	109	—	—	—	—	—	—
2022	38	MLB MLE	2 teams	—	335	296	52	13	0	6	29	102	7	2	0	176	264	280	545	105	248	30	9	251	56	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2457	2124	480	114	5	95	231	664	69	5	4	226	322	419	740	193	278	27	9	328	92	+23	-1	-10	+45	+53	11.2
/ 162G	—	A+C		—	650	562	126	30	1	25	61	176	18	1	1	224	320	415	734	190	276	27	9	328	92	+6	-0	-3	+12	+14	3.0
Career	—	MLE		—	5737	5009	1131	241	23	161	497	1379	145	48	36	226	314	380	693	154	276	24	9	304	92	+23	-1	-10	+45	+53	11.2
/ 162G	—	MLE		—	650	568	128	27	3	18	56	156	16	5	4	225	312	379	691	153	276	24	9	304	92	+6	-0	-3	+12	+14	3.0

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 AAAScranton/Wilkes-Barre RailRiders · 45 PAwOBA .410 → .297 (−113)K% 35.6% → 43.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.56%	÷0.993	×1.200	—	—	42.96%
BB% (unintentional) /PA	17.78%	÷0.973	×0.690	—	×0.940	11.85%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	30.00%	÷0.974	×0.930	—	×0.940	26.92%
Doubles /BIP	5.00%	÷0.915	×0.830	—	×0.940	4.26%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.940	0.00%
Home runs /BIP	15.00%	÷1.149	×0.700	—	×0.940	8.59%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 95, 2B 83, 3B 130, K 99, BB 95 — 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).

Result: wOBA .410 → .297; ISO .278 → .170; BABIP .412 → .341. 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 AAARound Rock Express · 311 PAwOBA .332 → .265 (−67)K% 17.7% → 23.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.68%	÷0.978	×1.290	—	—	23.32%
BB% (unintentional) /PA	11.90%	÷0.984	×0.710	—	×0.982	8.43%
HBP% /PA	1.29%	—	×0.980	—	×0.982	1.24%
Singles /BIP	22.86%	÷1.056	×0.900	×0.999	×0.982	19.12%
Doubles /BIP	4.76%	÷1.009	×0.810	×0.999	×0.982	3.75%
Triples /BIP	0.95%	÷0.900	×0.810	×0.999	×0.982	0.84%
Home runs /BIP	3.81%	÷0.915	×0.780	—	×0.982	3.19%

Factors used: league row PCL. Park (home-season share, regressed): HR 83, 1B 111, 2B 102, 3B 80, K 96, BB 97 — 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 ×0.999.

Result: wOBA .332 → .265; ISO .143 → .118; BABIP .294 → .243. 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 AAADurham Bulls · 319 PAwOBA .318 → .280 (−38)K% 21.6% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.63%	÷1.051	×1.200	—	—	24.69%
BB% (unintentional) /PA	9.09%	÷0.938	×0.690	—	×1.003	6.71%
HBP% /PA	2.19%	—	×0.940	—	×1.003	2.07%
Singles /BIP	24.88%	÷0.969	×0.930	×0.991	×1.003	23.74%
Doubles /BIP	6.10%	÷0.994	×0.830	×0.991	×1.003	5.07%
Triples /BIP	0.47%	÷1.017	×0.970	×0.991	×1.003	0.45%
Home runs /BIP	2.82%	÷0.960	×0.840	—	×1.003	2.47%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 94, 2B 99, 3B 103, K 110, BB 88 — 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 ×0.991.

Result: wOBA .318 → .280; ISO .117 → .101; BABIP .324 → .300. 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 AATennessee Smokies · 318 PAwOBA .421 → .352 (−69)K% 11.0% → 14.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.01%	÷0.960	×1.220	—	—	13.99%
BB% (unintentional) /PA	11.95%	÷1.048	×0.680	—	×0.988	7.66%
HBP% /PA	1.57%	—	×0.840	—	×0.988	1.30%
Singles /BIP	19.65%	÷0.988	×0.920	×0.993	×0.988	17.96%
Doubles /BIP	10.48%	÷1.126	×0.910	×0.993	×0.988	8.31%
Triples /BIP	0.00%	÷1.006	×0.880	×0.993	×0.988	0.00%
Home runs /BIP	6.55%	÷1.049	×0.800	—	×0.988	4.94%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 98, 2B 125, 3B 101, K 92, BB 110 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .421 → .352; ISO .261 → .215; BABIP .312 → .268. 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 AAAIowa Cubs · 62 PAwOBA .442 → .382 (−60)K% 12.9% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.90%	÷1.017	×1.290	—	—	16.36%
BB% (unintentional) /PA	3.23%	÷1.086	×0.710	—	×1.018	2.15%
HBP% /PA	8.06%	—	×0.980	—	×1.018	8.05%
Singles /BIP	27.66%	÷1.019	×0.900	—	×1.018	24.87%
Doubles /BIP	8.51%	÷1.001	×0.810	—	×1.018	7.01%
Triples /BIP	0.00%	÷0.979	×0.810	—	×1.018	0.00%
Home runs /BIP	6.38%	÷0.881	×0.780	—	×1.018	5.75%

Factors used: league row PCL. Park (home-season share, regressed): HR 76, 1B 104, 2B 100, 3B 96, K 103, BB 117 — 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).

Result: wOBA .442 → .382; ISO .236 → .201; BABIP .386 → .338. 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 A+Daytona Cubs · 270 PAwOBA .405 → .338 (−67)K% 14.8% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.81%	÷1.000	×1.420	—	—	21.04%
BB% (unintentional) /PA	12.96%	÷1.000	×0.750	—	×0.978	9.51%
HBP% /PA	1.85%	—	×0.930	—	×0.978	1.68%
Singles /BIP	20.86%	÷1.000	×0.920	×0.991	×0.978	18.60%
Doubles /BIP	6.95%	÷1.000	×0.960	×0.991	×0.978	6.47%
Triples /BIP	2.67%	÷1.000	×0.810	×0.991	×0.978	2.10%
Home runs /BIP	5.88%	÷1.000	×0.880	—	×0.978	5.06%

Factors used: league row FSL. 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 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .405 → .338; ISO .247 → .208; BABIP .318 → .281. 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 AATennessee Smokies · 43 PAwOBA .330 → .289 (−40)K% 9.3% → 11.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.30%	÷1.000	×1.220	—	—	11.35%
BB% (unintentional) /PA	16.28%	÷1.000	×0.680	—	×0.998	11.05%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	19.35%	÷1.000	×0.920	—	×0.998	17.77%
Doubles /BIP	9.68%	÷1.000	×0.910	—	×0.998	8.79%
Triples /BIP	0.00%	÷1.000	×0.880	—	×0.998	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×0.998	0.00%

Factors used: league row SL. 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 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .330 → .289; ISO .086 → .084; BABIP .281 → .258. 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 A+Daytona Cubs · 156 PAwOBA .391 → .342 (−49)K% 13.5% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.46%	÷1.000	×1.420	—	—	19.12%
BB% (unintentional) /PA	16.67%	÷1.000	×0.750	—	×0.988	12.35%
HBP% /PA	3.85%	—	×0.930	—	×0.988	3.53%
Singles /BIP	23.23%	÷1.000	×0.920	×1.021	×0.988	21.56%
Doubles /BIP	4.04%	÷1.000	×0.960	×1.021	×0.988	3.91%
Triples /BIP	2.02%	÷1.000	×0.810	×1.021	×0.988	1.65%
Home runs /BIP	5.05%	÷1.000	×0.880	—	×0.988	4.39%

Factors used: league row FSL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .391 → .342; ISO .192 → .172; BABIP .305 → .281. 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 — .