Peter Bourjos

PosCF

B/TR/R

Born1987-03-31

Age (2027)40

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	30	MLBTB	203	.223/.274/.383	5	5	81	-0.3
2018	31	AAASF	278	.289/.343/.457	4	1	74	—	.237/.278/.359
2018	31	MLBATL	47	.205/.239/.364	1	0	62	-0.5
2019	32	MLBLAA	46	.091/.111/.114	0	2	-44	-0.6
2020	33	No MLB games played
2021	34	No MLB games played
2022	35	No MLB games played
2023	36	No MLB games played
2024	37	No MLB games played
2025	38	No MLB games played
2026	39	No MLB games played

Last 3 seasons WAR -1.4

Contract

No contract data on file.

Skills · percentileStatcast 2017-2019

Speed90

Barrel%13

Avg EV12

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)
2006	19	ROK	Orem Owlz	—	279	250	73	16	7	5	22	67	2	13	5	292	354	472	826	180	382	24	8	358	57	—	—	—	—	—	—
2007	20	A	Cedar Rapids Kernels	—	270	237	65	9	6	5	20	53	4	19	9	274	341	426	767	152	326	20	7	331	81	—	—	—	—	—	—
2007	20	ROK	AZL Angels	—	17	16	5	0	1	0	1	2	0	0	0	312	353	438	790	125	357	12	6	349	57	—	—	—	—	—	—
2008	21	A+	Rancho Cucamonga Quakes	—	545	509	150	29	10	9	19	96	7	50	10	295	329	444	773	149	345	18	3	335	79	—	—	—	—	—	—
2009	22	AA	Arkansas Travelers	—	504	437	123	16	14	6	49	77	3	32	12	281	358	423	781	142	326	15	10	339	95	—	—	—	—	—	—
2010	23	MLB	Los Angeles Angels	—	193	181	37	6	4	6	6	40	2	10	3	204	238	381	619	177	228	21	3	266	67	-8	+1	+18	+3	+4	1.8
2010	23	AAA	Salt Lake Bees	—	455	414	130	13	12	13	24	78	10	27	5	314	366	498	864	184	359	17	5	375	98	—	—	—	—	—	—
2010	23	INTL	Leones del Escogido	—	95	82	17	3	2	0	7	17	4	2	1	207	301	293	594	85	262	18	7	271	70	—	—	—	—	—	—
2011	24	MLB	Los Angeles Angels	—	552	502	136	26	11	12	32	124	10	22	9	271	327	438	765	167	338	22	6	334	114	+9	+1	+9	+2	+12	3.4
2012	25	MLB	Los Angeles Angels	—	195	168	37	7	0	3	15	44	3	3	1	220	296	315	611	95	274	23	8	268	69	-7	+0	+10	+1	+4	0.8
2012	25	AAA	Salt Lake Bees	—	32	29	9	1	3	0	3	6	0	0	0	310	375	552	927	241	391	19	9	398	91	—	—	—	—	—	—
2013	26	MLB	Los Angeles Angels	—	196	175	48	3	3	3	10	43	6	6	0	274	335	377	712	103	346	22	5	314	99	-0	+1	-3	+1	+4	0.3
2013	26	AAA	Salt Lake Bees	—	55	48	10	4	0	2	4	19	2	0	0	208	296	417	713	208	286	35	7	312	43	—	—	—	—	—	—
2014	27	MLB	St. Louis Cardinals	—	294	264	61	9	5	4	20	78	4	9	3	231	295	348	644	117	311	27	7	285	78	-8	+1	+6	+1	+6	0.6
2015	28	MLB	St. Louis Cardinals	—	225	195	39	8	3	4	19	59	6	5	8	200	291	333	624	133	263	26	8	279	68	-9	-2	-1	+1	+5	-0.6
2016	29	MLB	Philadelphia Phillies	—	383	355	89	20	7	5	17	91	4	6	4	251	293	389	681	138	323	24	4	297	84	-7	-0	+2	-4	+8	-0.1
2016	29	AAA	Lehigh Valley IronPigs	—	19	18	5	0	0	1	1	5	0	0	0	278	316	444	760	167	333	26	5	337	69	—	—	—	—	—	—
2017	30	MLB	Tampa Bay Rays	—	203	188	42	9	3	5	12	53	1	5	4	223	274	383	657	160	282	26	6	288	81	-5	-1	-0	-2	+4	-0.3
2018	31	MLB	Atlanta Braves	—	47	44	9	2	1	1	2	15	0	0	0	205	239	364	603	159	286	32	4	259	62	-2	+0	-0	-3	+1	-0.5
2018	31	AAA	Sacramento River Cats	—	278	256	74	13	9	4	17	54	4	1	2	289	343	457	800	168	352	19	6	352	74	—	—	—	—	—	—
2019	32	MLB	Los Angeles Angels	—	46	44	4	1	0	0	1	15	0	2	0	91	111	114	225	23	133	33	2	102	-44	-8	+0	+1	-0	+1	-0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2334	2116	502	91	37	43	134	562	36	68	32	237	294	376	670	139	302	24	6	294	85	-42	+1	+42	-2	+51	5.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2006	19	ROK MLE	Orem Owlz	—	279	259	55	11	5	3	13	97	2	13	5	212	255	328	584	116	315	35	5	252	57	—	—	—	—	—	—
2007	20	A MLE	Cedar Rapids Kernels	—	270	243	61	8	6	4	14	72	4	19	9	251	303	383	685	132	310	27	5	288	81	—	—	—	—	—	—
2007	20	ROK MLE	AZL Angels	—	17	16	4	0	1	0	1	3	0	0	0	250	294	375	669	125	284	18	6	252	57	—	—	—	—	—	—
2008	21	A+ MLE	Rancho Cucamonga Quakes	—	545	514	133	24	8	8	14	129	7	50	10	259	288	383	671	125	318	24	3	285	79	—	—	—	—	—	—
2009	22	AA MLE	Arkansas Travelers	—	504	451	121	15	14	5	35	94	3	32	12	268	325	397	722	129	311	19	7	308	95	—	—	—	—	—	—
2010	23	MLB MLE	Los Angeles Angels	—	193	181	37	6	4	6	6	40	2	10	3	204	238	381	619	177	228	21	3	267	67	-8	+1	+18	+3	+4	1.8
2010	23	AAA MLE	Salt Lake Bees	—	455	421	113	11	10	10	17	103	10	27	5	268	312	413	726	145	325	23	4	313	98	—	—	—	—	—	—
2011	24	MLB MLE	Los Angeles Angels	—	552	502	137	27	11	12	32	124	10	22	9	273	329	442	771	169	338	22	6	336	114	+9	+1	+9	+2	+12	3.4
2012	25	MLB MLE	Los Angeles Angels	—	195	168	37	7	0	3	15	44	3	3	1	220	296	315	611	95	274	23	8	270	69	-7	+0	+10	+1	+4	0.8
2012	25	AAA MLE	Salt Lake Bees	—	32	30	7	1	2	0	2	8	0	0	0	233	281	400	681	167	327	25	6	302	91	—	—	—	—	—	—
2013	26	MLB MLE	Los Angeles Angels	—	196	175	48	3	3	3	10	43	6	6	0	274	335	377	712	103	346	22	5	315	99	-0	+1	-3	+1	+4	0.3
2013	26	AAA MLE	Salt Lake Bees	—	55	49	7	3	0	1	3	25	2	0	0	143	222	265	488	122	247	45	5	232	43	—	—	—	—	—	—
2014	27	MLB MLE	St. Louis Cardinals	—	294	265	61	9	5	4	19	78	4	9	3	230	292	347	639	117	311	27	6	284	78	-8	+1	+6	+1	+6	0.6
2015	28	MLB MLE	St. Louis Cardinals	—	225	199	39	8	3	4	15	59	6	5	8	196	273	327	599	131	263	26	7	269	68	-9	-2	-1	+1	+5	-0.6
2016	29	MLB MLE	Philadelphia Phillies	—	383	357	90	21	7	5	15	91	4	6	4	252	290	392	682	140	323	24	4	292	84	-7	-0	+2	-4	+8	-0.1
2016	29	AAA MLE	Lehigh Valley IronPigs	—	19	18	4	0	0	1	1	6	0	0	0	222	263	389	652	167	293	32	5	270	69	—	—	—	—	—	—
2017	30	MLB MLE	Tampa Bay Rays	—	203	188	42	9	3	5	12	53	1	5	4	223	274	383	657	160	282	26	6	288	81	-5	-1	-0	-2	+4	-0.3
2018	31	MLB MLE	Atlanta Braves	—	47	44	9	2	1	1	2	15	0	0	0	205	239	364	603	159	286	32	4	259	62	-2	+0	-0	-3	+1	-0.5
2018	31	AAA MLE	Sacramento River Cats	—	278	262	62	11	6	3	11	65	4	1	2	237	278	359	637	122	303	23	4	277	74	—	—	—	—	—	—
2019	32	MLB MLE	Los Angeles Angels	—	46	44	4	1	0	0	1	15	0	2	0	91	111	114	225	23	133	33	2	103	-44	-8	+0	+1	-0	+1	-0.6
2006	19	ROK MLE	Orem Owlz	—	279	259	55	11	5	3	13	97	2	13	5	212	255	328	584	116	327	35	5	252	57	—	—	—	—	—	—
2006	19	ROK RAW	Orem Owlz	—	279	250	73	16	7	5	22	67	2	13	5	292	354	472	826	180	382	24	8	358	57	—	—	—	—	—	—
2007	20	A MLE	2 teams	—	287	259	64	8	6	4	15	75	4	19	9	247	299	371	669	124	324	26	5	286	80	—	—	—	—	—	—
2007	20	A RAW	2 teams	—	287	253	70	9	7	5	21	55	4	19	9	277	342	427	769	150	328	19	7	332	80	—	—	—	—	—	—
2008	21	A+ MLE	Rancho Cucamonga Quakes	—	545	514	133	24	8	8	14	129	7	50	10	259	288	383	671	125	327	24	3	285	79	—	—	—	—	—	—
2008	21	A+ RAW	Rancho Cucamonga Quakes	—	545	509	150	29	10	9	19	96	7	50	10	295	329	444	773	149	345	18	3	335	79	—	—	—	—	—	—
2009	22	AA MLE	Arkansas Travelers	—	504	451	121	15	14	5	35	94	3	32	12	268	325	397	722	129	325	19	7	308	95	—	—	—	—	—	—
2009	22	AA RAW	Arkansas Travelers	—	504	437	123	16	14	6	49	77	3	32	12	281	358	423	781	142	326	15	10	339	95	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	743	688	173	20	16	18	26	164	16	39	9	251	295	406	700	154	304	22	3	299	89	—	—	—	—	—	—
2010	23	AAA RAW	3 teams	—	743	677	184	22	18	19	37	135	16	39	9	272	325	442	766	170	313	18	5	333	89	—	—	—	—	—	—
2011	24	MLB MLE	Los Angeles Angels	—	552	502	137	27	11	12	32	124	10	22	9	273	329	442	771	169	341	22	6	336	114	+9	+1	+9	+2	+12	3.4
2011	24	MLB RAW	Los Angeles Angels	—	552	502	136	26	11	12	32	124	10	22	9	271	327	438	765	167	338	22	6	334	114	+9	+1	+9	+2	+12	3.4
2012	25	MLB MLE	2 teams	—	227	198	44	8	2	3	17	52	3	3	1	222	294	328	622	106	281	23	7	274	72	-8	+0	+10	+1	+5	0.8
2012	25	MLB RAW	2 teams	—	227	197	46	8	3	3	18	50	3	3	1	234	307	350	658	117	293	22	8	287	72	-8	+0	+10	+1	+5	0.8
2013	26	MLB MLE	2 teams	—	251	224	55	6	3	4	13	68	8	6	0	246	310	353	663	107	331	27	5	297	87	-4	+1	-3	+1	+5	0.1
2013	26	MLB RAW	2 teams	—	251	223	58	7	3	5	14	62	8	6	0	260	327	386	712	126	335	25	6	314	87	-4	+1	-3	+1	+5	0.1
2014	27	MLB MLE	St. Louis Cardinals	—	294	265	61	9	5	4	19	78	4	9	3	230	292	347	639	117	310	27	6	284	78	-8	+1	+6	+1	+6	0.6
2014	27	MLB RAW	St. Louis Cardinals	—	294	264	61	9	5	4	20	78	4	9	3	231	295	348	644	117	311	27	7	285	78	-8	+1	+6	+1	+6	0.6
2015	28	MLB MLE	St. Louis Cardinals	—	225	199	39	8	3	4	15	59	6	5	8	196	273	327	599	131	255	26	7	269	68	-9	-2	-1	+1	+5	-0.6
2015	28	MLB RAW	St. Louis Cardinals	—	225	195	39	8	3	4	19	59	6	5	8	200	291	333	624	133	263	26	8	279	68	-9	-2	-1	+1	+5	-0.6
2016	29	MLB MLE	2 teams	—	402	375	94	21	7	6	16	97	4	6	4	251	289	392	681	141	322	24	4	291	83	-8	-0	+2	-4	+9	-0.2
2016	29	MLB RAW	2 teams	—	402	373	94	20	7	6	18	96	4	6	4	252	294	391	685	139	324	24	4	299	83	-8	-0	+2	-4	+9	-0.2
2017	30	MLB MLE	Tampa Bay Rays	—	203	188	42	9	3	5	12	53	1	5	4	223	274	383	657	160	282	26	6	288	81	-5	-1	-0	-2	+4	-0.3
2017	30	MLB RAW	Tampa Bay Rays	—	203	188	42	9	3	5	12	53	1	5	4	223	274	383	657	160	282	26	6	288	81	-5	-1	-0	-2	+4	-0.3
2018	31	AAA MLE	2 teams	—	325	306	71	13	7	4	13	80	4	1	2	232	272	359	632	127	300	25	4	274	72	—	—	—	—	—	—
2018	31	AAA RAW	2 teams	—	325	300	83	15	10	5	19	69	4	1	2	277	328	443	772	167	344	21	6	338	72	—	—	—	—	—	—
2019	32	MLB MLE	Los Angeles Angels	—	46	44	4	1	0	0	1	15	0	2	0	91	111	114	225	23	133	33	2	103	-44	-8	+0	+1	-0	+1	-0.6
2019	32	MLB RAW	Los Angeles Angels	—	46	44	4	1	0	0	1	15	0	2	0	91	111	114	225	23	133	33	2	102	-44	-8	+0	+1	-0	+1	-0.6
2006	19	ROK MLE	Orem Owlz	—	279	262	55	11	5	3	13	97	2	13	5	210	255	324	580	115	315	35	5	252	57	—	—	—	—	—	—
2007	20	A MLE	2 teams	—	287	266	64	8	6	4	15	75	4	19	9	241	299	361	659	120	308	26	5	286	80	—	—	—	—	—	—
2008	21	A+ MLE	Rancho Cucamonga Quakes	—	545	519	133	24	8	8	14	129	7	50	10	256	288	380	667	123	318	24	3	285	79	—	—	—	—	—	—
2009	22	AA MLE	Arkansas Travelers	—	504	461	121	15	14	5	35	94	3	32	12	262	325	388	713	126	311	19	7	308	95	—	—	—	—	—	—
2010	23	AAA MLE	3 teams	—	743	695	173	20	16	18	26	164	16	39	9	249	295	401	696	153	296	22	3	299	89	—	—	—	—	—	—
2011	24	MLB MLE	Los Angeles Angels	—	552	505	137	27	11	12	32	124	10	22	9	271	329	440	769	168	338	22	6	336	114	—	—	—	—	—	—
2012	25	MLB MLE	2 teams	—	227	205	44	8	2	3	17	52	3	3	1	215	294	317	611	102	282	23	7	274	72	—	—	—	—	—	—
2013	26	MLB MLE	2 teams	—	251	228	55	6	3	4	13	68	8	6	0	241	310	346	657	105	324	27	5	297	87	—	—	—	—	—	—
2014	27	MLB MLE	St. Louis Cardinals	—	294	269	61	9	5	4	19	78	4	9	3	227	292	342	634	115	311	27	6	284	78	—	—	—	—	—	—
2015	28	MLB MLE	St. Louis Cardinals	—	225	202	39	8	3	4	15	59	6	5	8	193	273	322	595	129	263	26	7	269	68	—	—	—	—	—	—
2016	29	MLB MLE	2 teams	—	402	379	94	21	7	6	16	97	4	6	4	248	289	388	676	140	322	24	4	291	83	—	—	—	—	—	—
2017	30	MLB MLE	Tampa Bay Rays	—	203	188	42	9	3	5	12	53	1	5	4	223	274	383	657	160	282	26	6	288	81	—	—	—	—	—	—
2018	31	AAA MLE	2 teams	—	325	305	71	13	7	4	13	80	4	1	2	233	272	361	633	128	301	25	4	274	72	—	—	—	—	—	—
2019	32	MLB MLE	Los Angeles Angels	—	46	45	4	1	0	0	1	15	0	2	0	89	111	111	222	22	133	33	2	103	-44	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2334	2116	502	91	37	43	134	562	36	68	32	237	294	376	670	139	302	24	6	294	83	-42	+1	+42	-2	+51	5.0
/ 162G	—	A+C		—	650	589	139	25	10	12	37	157	10	19	9	236	292	374	666	138	300	24	6	294	83	-12	+0	+12	-1	+14	1.4
Career	—	MLE		—	4883	4472	1093	180	90	80	241	1185	72	212	76	244	294	379	672	134	313	24	5	291	83	-42	+1	+42	-2	+51	5.0
/ 162G	—	MLE		—	650	595	146	24	12	11	32	158	10	28	10	245	295	382	677	136	314	24	5	291	83	-12	+0	+12	-1	+14	1.4

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.

2018 AAASacramento River Cats · 278 PAwOBA .344 → .277 (−66)K% 19.4% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷1.071	×1.290	—	—	23.39%
BB% (unintentional) /PA	6.12%	÷1.043	×0.710	—	×0.962	4.01%
HBP% /PA	1.44%	—	×0.980	—	×0.962	1.36%
Singles /BIP	23.76%	÷0.963	×0.900	×1.004	×0.962	21.45%
Doubles /BIP	6.44%	÷0.910	×0.810	×1.004	×0.962	5.53%
Triples /BIP	4.46%	÷1.150	×0.810	×1.004	×0.962	3.03%
Home runs /BIP	1.98%	÷0.998	×0.780	—	×0.962	1.49%

Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 93, 2B 82, 3B 130, K 114, BB 109 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .344 → .277; ISO .168 → .124; BABIP .352 → .303. 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 AAALehigh Valley IronPigs · 19 PAwOBA .327 → .270 (−57)K% 26.3% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷1.018	×1.200	—	—	31.03%
BB% (unintentional) /PA	5.26%	÷1.035	×0.690	—	×0.982	3.45%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	30.77%	÷1.028	×0.930	—	×0.982	27.34%
Doubles /BIP	0.00%	÷1.018	×0.830	—	×0.982	0.00%
Triples /BIP	0.00%	÷1.107	×0.970	—	×0.982	0.00%
Home runs /BIP	7.69%	÷0.942	×0.840	—	×0.982	6.73%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 106, 2B 104, 3B 121, K 104, BB 107 — 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 .327 → .270; ISO .167 → .140; BABIP .333 → .293. 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 AAASalt Lake Bees · 55 PAwOBA .309 → .232 (−77)K% 34.5% → 46.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.55%	÷0.964	×1.290	—	—	46.21%
BB% (unintentional) /PA	7.27%	÷1.016	×0.710	—	×1.018	5.18%
HBP% /PA	3.64%	—	×0.980	—	×1.018	3.63%
Singles /BIP	13.79%	÷0.997	×0.900	—	×1.018	12.67%
Doubles /BIP	13.79%	÷0.977	×0.810	—	×1.018	11.64%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.018	0.00%
Home runs /BIP	6.90%	÷0.973	×0.780	—	×1.018	5.63%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 95, 3B 130, K 93, BB 103 — 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 .309 → .232; ISO .208 → .147; BABIP .286 → .247. 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 AAASalt Lake Bees · 32 PAwOBA .388 → .302 (−86)K% 18.8% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.75%	÷1.005	×1.290	—	—	24.07%
BB% (unintentional) /PA	9.38%	÷0.914	×0.710	—	×1.033	7.52%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	21.74%	÷1.029	×0.900	—	×1.033	19.63%
Doubles /BIP	4.35%	÷1.022	×0.810	—	×1.033	3.56%
Triples /BIP	13.04%	÷1.150	×0.810	—	×1.033	9.49%
Home runs /BIP	0.00%	÷1.053	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 111, 1B 106, 2B 104, 3B 130, K 101, BB 83 — 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).

Result: wOBA .388 → .302; ISO .241 → .170; BABIP .391 → .327. 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 AAASalt Lake Bees · 455 PAwOBA .366 → .313 (−53)K% 17.1% → 22.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.14%	÷0.980	×1.290	—	—	22.57%
BB% (unintentional) /PA	5.05%	÷1.016	×0.710	—	×1.050	3.71%
HBP% /PA	2.20%	—	×0.980	—	×1.050	2.26%
Singles /BIP	27.38%	÷1.060	×0.900	×1.037	×1.050	25.33%
Doubles /BIP	3.87%	÷0.999	×0.810	×1.037	×1.050	3.42%
Triples /BIP	3.57%	÷1.035	×0.810	×1.037	×1.050	3.04%
Home runs /BIP	3.87%	÷1.011	×0.780	—	×1.050	3.13%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 112, 2B 100, 3B 107, 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 ×1.037.

Result: wOBA .366 → .313; ISO .184 → .148; BABIP .359 → .325. 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 AAArkansas Travelers · 504 PAwOBA .333 → .308 (−25)K% 15.3% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.28%	÷1.000	×1.220	—	—	18.64%
BB% (unintentional) /PA	9.52%	÷1.000	×0.700	—	×1.042	6.95%
HBP% /PA	0.60%	—	×0.870	—	×1.042	0.54%
Singles /BIP	24.17%	÷1.000	×0.920	×1.007	×1.042	23.33%
Doubles /BIP	4.44%	÷1.000	×0.840	×1.007	×1.042	3.92%
Triples /BIP	3.89%	÷1.000	×0.940	×1.007	×1.042	3.84%
Home runs /BIP	1.67%	÷1.000	×0.800	—	×1.042	1.39%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.007.

Result: wOBA .333 → .308; ISO .142 → .134; BABIP .326 → .311. 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+Rancho Cucamonga Quakes · 545 PAwOBA .329 → .285 (−44)K% 17.6% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.61%	÷1.000	×1.340	—	—	23.60%
BB% (unintentional) /PA	3.49%	÷1.000	×0.710	—	×1.027	2.54%
HBP% /PA	1.28%	—	×0.790	—	×1.027	1.04%
Singles /BIP	24.70%	÷1.000	×0.910	×1.020	×1.027	23.55%
Doubles /BIP	7.02%	÷1.000	×0.820	×1.020	×1.027	6.03%
Triples /BIP	2.42%	÷1.000	×0.760	×1.020	×1.027	1.93%
Home runs /BIP	2.18%	÷1.000	×0.920	—	×1.027	2.06%

Factors used: league row CAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.020.

Result: wOBA .329 → .285; ISO .149 → .125; BABIP .345 → .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).

2007 ACedar Rapids Kernels · 270 PAwOBA .328 → .288 (−40)K% 19.6% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.63%	÷1.000	×1.360	—	—	26.70%
BB% (unintentional) /PA	7.41%	÷1.000	×0.690	—	×1.030	5.26%
HBP% /PA	1.48%	—	×0.780	—	×1.030	1.19%
Singles /BIP	24.46%	÷1.000	×0.920	×1.023	×1.030	23.72%
Doubles /BIP	4.89%	÷1.000	×0.830	×1.023	×1.030	4.28%
Triples /BIP	3.26%	÷1.000	×0.910	×1.023	×1.030	3.13%
Home runs /BIP	2.72%	÷1.000	×0.800	—	×1.030	2.24%

Factors used: level-wide A 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 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 ×1.023.

Result: wOBA .328 → .288; ISO .152 → .131; BABIP .326 → .310. 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 — .