Darin Ruf

Pos1B

B/TR/R

Born1986-07-28

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	35	MLBSF	312	.271/.386/.519	16	2	158	2.6
2022	36	MLBNYM	388	.204/.309/.338	11	2	90	-1.2
2023	37	AAAMIL	55	.156/.296/.267	1	0	22	—	.146/.241/.250
2023	37	MLBMIL	57	.224/.333/.286	0	0	88	-0.2
2024	38	No MLB games played
2025	39	No MLB games played
2026	40	No MLB games played

Last 3 seasons WAR 1.2

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA81

Avg EV80

Barrel%70

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.

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)
2009	23	ROK	GCL Phillies	—	50	43	14	3	0	0	3	8	3	0	0	326	408	395	804	70	389	16	6	362	64	—	—	—	—	—	—
2010	24	A+	Clearwater Threshers	—	407	368	102	34	2	5	26	87	8	2	2	277	337	421	759	144	346	21	6	335	74	—	—	—	—	—	—
2010	24	A	Lakewood BlueClaws	—	141	115	38	7	3	4	21	23	3	3	2	330	446	548	994	217	382	16	15	431	136	—	—	—	—	—	—
2011	25	A+	Clearwater Threshers	—	558	484	149	43	1	17	56	95	10	0	1	308	388	506	894	198	351	17	10	391	94	—	—	—	—	—	—
2011	25	INTL	Scottsdale Scorpions	—	81	67	16	1	0	3	10	13	3	0	0	239	358	388	746	149	255	16	12	340	116	—	—	—	—	—	—
2012	26	MLB	Philadelphia Phillies	—	37	33	11	2	1	3	2	12	0	0	0	333	371	727	1.099	394	400	32	5	442	165	+3	+0	-1	-8	+1	-0.5
2012	26	AA	Reading Phillies	—	584	489	155	32	1	38	65	102	18	2	0	317	415	620	1.035	303	325	17	11	439	118	—	—	—	—	—	—
2012	26	INTL	Tiburones de La Guaira	—	144	120	31	8	0	10	17	42	5	0	0	258	373	575	948	317	300	29	12	405	161	—	—	—	—	—	—
2013	27	MLB	Philadelphia Phillies	—	293	251	62	11	0	14	33	91	7	0	0	247	351	458	809	211	324	31	11	358	123	+8	+0	-9	-11	+6	-0.6
2013	27	AAA	Lehigh Valley IronPigs	—	350	305	81	22	0	7	36	88	3	1	2	266	349	407	755	141	343	25	10	335	82	—	—	—	—	—	—
2014	28	MLB	Philadelphia Phillies	—	117	102	24	8	0	3	8	32	4	0	0	235	316	402	718	167	304	27	7	315	98	-0	+0	-0	-5	+3	-0.3
2014	28	AAA	Lehigh Valley IronPigs	—	91	83	22	6	0	1	6	16	0	1	0	265	315	373	688	108	309	18	7	303	61	—	—	—	—	—	—
2014	28	ROK	GCL Phillies	—	27	23	3	1	0	0	3	4	1	0	0	130	259	174	433	43	158	15	11	219	-17	—	—	—	—	—	—
2014	28	INTL	Tigres del Licey	—	42	36	6	1	0	1	2	10	3	0	0	167	268	278	546	111	192	24	5	252	57	—	—	—	—	—	—
2015	29	MLB	Philadelphia Phillies	—	297	268	63	12	0	12	21	69	5	1	0	235	303	414	717	179	268	23	7	316	97	-1	+0	-8	-6	+6	-0.8
2015	29	AAA	Lehigh Valley IronPigs	—	28	26	8	1	0	0	0	2	1	0	0	308	333	346	679	38	320	7	0	298	70	—	—	—	—	—	—
2016	30	MLB	Philadelphia Phillies	—	89	83	17	2	0	3	4	25	0	0	1	205	241	337	579	133	246	28	4	252	54	-5	-0	-1	-5	+2	-1.0
2016	30	AAA	Lehigh Valley IronPigs	—	390	350	103	18	2	20	29	78	7	0	0	294	360	529	889	234	324	20	7	386	97	—	—	—	—	—	—
2020	34	MLB	San Francisco Giants	—	100	87	24	6	0	5	13	23	0	1	0	276	370	517	887	241	322	23	13	389	156	+7	+0	-2	-1	+2	0.6
2021	35	MLB	San Francisco Giants	—	312	262	71	13	2	16	46	87	3	2	0	271	386	519	905	248	344	28	15	397	158	+22	+0	+2	-6	+7	2.6
2022	36	MLB	New York Mets	—	388	334	68	12	0	11	45	105	6	2	0	204	309	338	647	135	258	27	12	296	90	-5	+0	-9	-7	+8	-1.2
2023	37	MLB	Milwaukee Brewers	—	57	49	11	3	0	0	8	16	0	0	0	224	333	286	619	61	333	28	14	293	88	-1	+0	+0	-2	+1	-0.2
2023	37	AAA	Nashville Sounds	—	55	45	7	2	0	1	9	16	0	0	0	156	296	267	563	111	207	29	16	265	22	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1690	1469	351	69	3	67	180	460	25	6	1	239	332	427	759	188	297	27	11	336	114	+28	+1	-27	-51	+37	-1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	23	ROK MLE	GCL Phillies	—	50	44	11	2	0	0	2	12	3	0	0	250	327	295	622	45	300	24	4	263	64	—	—	—	—	—	—
2010	24	A+ MLE	Clearwater Threshers	—	407	375	86	31	1	3	20	127	8	2	2	229	283	341	624	112	330	31	5	277	74	—	—	—	—	—	—
2010	24	A MLE	Lakewood BlueClaws	—	141	122	37	6	3	4	14	31	3	3	2	303	388	500	888	197	359	22	10	369	136	—	—	—	—	—	—
2011	25	A+ MLE	Clearwater Threshers	—	558	504	123	38	1	11	40	136	10	0	1	244	312	389	701	145	306	24	7	307	94	—	—	—	—	—	—
2012	26	MLB MLE	Philadelphia Phillies	—	37	34	11	2	1	3	1	12	0	0	0	324	343	706	1.049	382	400	32	3	412	165	+3	+0	-1	-8	+1	-0.5
2012	26	AA MLE	Reading Phillies	—	584	509	132	24	1	23	46	129	18	2	0	259	342	446	788	187	288	22	8	342	118	—	—	—	—	—	—
2013	27	MLB MLE	Philadelphia Phillies	—	293	252	61	11	0	13	32	91	7	0	0	242	344	440	784	198	324	31	11	350	123	+8	+0	-9	-11	+6	-0.6
2013	27	AAA MLE	Lehigh Valley IronPigs	—	350	317	76	19	0	7	24	107	3	1	2	240	299	366	665	126	318	31	7	289	82	—	—	—	—	—	—
2014	28	MLB MLE	Philadelphia Phillies	—	117	102	24	8	0	3	8	32	4	0	0	235	316	402	718	167	304	27	7	313	98	-0	+0	-0	-5	+3	-0.3
2014	28	AAA MLE	Lehigh Valley IronPigs	—	91	85	20	5	0	1	4	18	0	1	0	235	270	329	599	94	268	20	4	258	61	—	—	—	—	—	—
2014	28	ROK MLE	GCL Phillies	—	27	24	3	1	0	0	2	6	1	0	0	125	222	167	389	42	117	22	7	143	-17	—	—	—	—	—	—
2015	29	MLB MLE	Philadelphia Phillies	—	297	268	62	12	0	11	21	69	5	1	0	231	299	399	699	168	268	23	7	312	97	-1	+0	-8	-6	+6	-0.8
2015	29	AAA MLE	Lehigh Valley IronPigs	—	28	26	8	1	0	0	0	2	1	0	0	308	333	346	679	38	283	7	0	271	70	—	—	—	—	—	—
2016	30	MLB MLE	Philadelphia Phillies	—	89	83	17	2	0	3	4	25	0	0	1	205	241	337	579	133	246	28	4	248	54	-5	-0	-1	-5	+2	-1.0
2016	30	AAA MLE	Lehigh Valley IronPigs	—	390	361	88	14	2	17	18	92	7	0	0	244	293	435	728	191	270	24	5	312	97	—	—	—	—	—	—
2020	34	MLB MLE	San Francisco Giants	—	100	87	24	6	0	5	13	23	0	1	0	276	370	517	887	241	322	23	13	399	156	+7	+0	-2	-1	+2	0.6
2021	35	MLB MLE	San Francisco Giants	—	312	264	73	13	2	17	44	87	3	2	0	277	386	534	920	258	344	28	14	402	158	+22	+0	+2	-6	+7	2.6
2022	36	MLB MLE	New York Mets	—	388	334	70	13	0	11	45	105	6	2	0	210	314	347	662	138	258	27	12	301	90	-5	+0	-9	-7	+8	-1.2
2023	37	MLB MLE	Milwaukee Brewers	—	57	49	11	3	0	0	8	16	0	0	0	224	333	286	619	61	333	28	14	298	88	-1	+0	+0	-2	+1	-0.2
2023	37	AAA MLE	Nashville Sounds	—	55	48	7	2	0	1	6	20	0	0	0	146	241	250	491	104	180	36	11	201	22	—	—	—	—	—	—
2009	23	ROK MLE	GCL Phillies	—	50	44	11	2	0	0	2	12	3	0	0	250	327	295	622	45	333	24	4	263	64	—	—	—	—	—	—
2009	23	ROK RAW	GCL Phillies	—	50	43	14	3	0	0	3	8	3	0	0	326	408	395	804	70	389	16	6	362	64	—	—	—	—	—	—
2010	24	A+ MLE	2 teams	—	548	498	124	38	4	7	33	157	11	5	4	249	310	384	693	135	345	29	6	301	90	—	—	—	—	—	—
2010	24	A+ RAW	2 teams	—	548	483	140	41	5	9	47	110	11	5	4	290	365	451	817	161	355	20	9	360	90	—	—	—	—	—	—
2011	25	A+ MLE	2 teams	—	639	576	142	44	1	13	46	155	13	0	1	247	317	394	711	148	313	24	7	307	94	—	—	—	—	—	—
2011	25	A+ RAW	2 teams	—	639	551	165	44	1	20	66	108	13	0	1	299	384	492	876	192	340	17	10	385	94	—	—	—	—	—	—
2012	26	AA MLE	3 teams	—	765	669	178	33	3	32	58	174	23	2	0	266	345	468	813	202	305	23	8	346	120	—	—	—	—	—	—
2012	26	AA RAW	3 teams	—	765	642	197	42	2	51	84	156	23	2	0	307	405	617	1.022	310	324	20	11	433	120	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	643	569	136	30	0	20	56	198	10	1	2	239	318	397	715	158	323	31	9	317	100	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	643	556	143	33	0	21	69	179	10	1	2	257	350	430	779	173	335	28	11	345	100	—	—	—	—	—	—
2014	28	MLB MLE	4 teams	—	277	246	53	16	0	4	17	66	8	1	0	215	288	329	617	114	271	24	6	272	70	-10	+0	-0	-5	+6	-0.9
2014	28	MLB RAW	4 teams	—	277	244	55	16	0	5	19	62	8	1	0	225	303	352	655	127	275	22	7	292	70	-10	+0	-0	-5	+6	-0.9
2015	29	MLB MLE	2 teams	—	325	294	69	13	0	11	21	71	6	1	0	235	299	391	690	156	269	22	6	308	95	-2	+0	-8	-6	+7	-0.9
2015	29	MLB RAW	2 teams	—	325	294	71	13	0	12	21	71	6	1	0	241	305	408	713	167	274	22	6	315	95	-2	+0	-8	-6	+7	-0.9
2016	30	AAA MLE	2 teams	—	479	444	105	16	2	20	22	117	7	0	1	236	283	417	700	180	272	24	5	300	89	—	—	—	—	—	—
2016	30	AAA RAW	2 teams	—	479	433	120	20	2	23	33	103	7	0	1	277	338	492	830	215	310	22	7	361	89	—	—	—	—	—	—
2020	34	MLB MLE	San Francisco Giants	—	100	87	24	6	0	5	13	23	0	1	0	276	370	517	887	241	322	23	13	399	156	+7	+0	-2	-1	+2	0.6
2020	34	MLB RAW	San Francisco Giants	—	100	87	24	6	0	5	13	23	0	1	0	276	370	517	887	241	322	23	13	389	156	+7	+0	-2	-1	+2	0.6
2021	35	MLB MLE	San Francisco Giants	—	312	264	73	13	2	17	44	87	3	2	0	277	386	534	920	258	348	28	14	402	158	+22	+0	+2	-6	+7	2.6
2021	35	MLB RAW	San Francisco Giants	—	312	262	71	13	2	16	46	87	3	2	0	271	386	519	905	248	344	28	15	397	158	+22	+0	+2	-6	+7	2.6
2022	36	MLB MLE	New York Mets	—	388	334	70	13	0	11	45	105	6	2	0	210	314	347	662	138	267	27	12	301	90	-5	+0	-9	-7	+8	-1.2
2022	36	MLB RAW	New York Mets	—	388	334	68	12	0	11	45	105	6	2	0	204	309	338	647	135	258	27	12	296	90	-5	+0	-9	-7	+8	-1.2
2023	37	MLB MLE	2 teams	—	112	97	18	5	0	1	14	36	0	0	0	186	288	268	556	82	279	32	12	250	56	-6	+0	+0	-2	+2	-0.6
2023	37	MLB RAW	2 teams	—	112	94	18	5	0	1	17	32	0	0	0	191	315	277	592	85	274	29	15	279	56	-6	+0	+0	-2	+2	-0.6
2009	23	ROK MLE	GCL Phillies	—	50	45	11	2	0	0	2	12	3	0	0	244	327	289	615	44	300	24	4	263	64	—	—	—	—	—	—
2010	24	A+ MLE	2 teams	—	548	499	124	38	4	7	33	157	11	5	4	248	310	383	693	134	337	29	6	301	90	—	—	—	—	—	—
2011	25	A+ MLE	2 teams	—	639	575	142	44	1	13	46	155	13	0	1	247	317	395	711	148	306	24	7	307	94	—	—	—	—	—	—
2012	26	AA MLE	3 teams	—	765	678	178	33	3	32	58	174	23	2	0	263	345	462	807	199	295	23	8	346	120	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	643	572	136	30	0	20	56	198	10	1	2	238	318	395	713	157	321	31	9	317	100	—	—	—	—	—	—
2014	28	MLB MLE	4 teams	—	277	250	53	16	0	4	17	66	8	1	0	212	288	324	612	112	269	24	6	272	70	—	—	—	—	—	—
2015	29	MLB MLE	2 teams	—	325	295	69	13	0	11	21	71	6	1	0	234	299	390	689	156	270	22	6	308	95	—	—	—	—	—	—
2016	30	AAA MLE	2 teams	—	479	447	105	16	2	20	22	117	7	0	1	235	283	414	697	179	265	24	5	300	89	—	—	—	—	—	—
2020	34	MLB MLE	San Francisco Giants	—	100	87	24	6	0	5	13	23	0	1	0	276	370	517	887	241	322	23	13	399	156	—	—	—	—	—	—
2021	35	MLB MLE	San Francisco Giants	—	312	262	73	13	2	17	44	87	3	2	0	279	386	538	924	260	344	28	14	402	158	—	—	—	—	—	—
2022	36	MLB MLE	New York Mets	—	388	334	70	13	0	11	45	105	6	2	0	210	314	347	662	138	258	27	12	301	90	—	—	—	—	—	—
2023	37	MLB MLE	2 teams	—	112	97	18	5	0	1	14	36	0	0	0	186	288	268	556	82	258	32	12	250	56	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1690	1469	351	69	3	67	180	460	25	6	1	239	332	427	759	188	297	27	11	336	101	+28	+1	-27	-51	+37	-1.3
/ 162G	—	A+C		—	650	565	136	27	1	26	69	177	10	2	0	241	334	430	764	189	299	27	11	336	101	+11	+0	-10	-20	+14	-0.5
Career	—	MLE		—	4638	4122	1003	229	12	141	371	1201	90	15	8	243	319	407	727	164	304	26	8	317	101	+28	+1	-27	-51	+37	-1.3
/ 162G	—	MLE		—	650	578	141	32	2	20	52	168	13	2	1	244	320	410	730	166	305	26	8	317	101	+11	+0	-10	-20	+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 AAANashville Sounds · 55 PAwOBA .263 → .201 (−62)K% 29.1% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.09%	÷0.978	×1.200	—	—	35.71%
BB% (unintentional) /PA	16.36%	÷0.995	×0.690	—	×0.940	10.67%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	13.79%	÷0.953	×0.930	—	×0.940	12.65%
Doubles /BIP	6.90%	÷0.971	×0.830	—	×0.940	5.54%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	3.45%	÷0.905	×0.700	—	×0.940	2.51%

Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 91, 2B 94, 3B 80, K 96, BB 99 — 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 .263 → .201; ISO .111 → .086; BABIP .207 → .180. 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 · 390 PAwOBA .378 → .312 (−65)K% 20.0% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.018	×1.200	—	—	23.58%
BB% (unintentional) /PA	7.18%	÷1.035	×0.690	—	×0.972	4.65%
HBP% /PA	1.79%	—	×0.940	—	×0.972	1.64%
Singles /BIP	23.16%	÷1.028	×0.930	×0.980	×0.972	19.96%
Doubles /BIP	6.62%	÷1.018	×0.830	×0.980	×0.972	5.14%
Triples /BIP	0.74%	÷1.107	×0.970	×0.980	×0.972	0.61%
Home runs /BIP	7.35%	÷0.942	×0.840	—	×0.972	6.37%

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 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 ×0.980.

Result: wOBA .378 → .312; ISO .234 → .199; BABIP .324 → .270. 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 AAALehigh Valley IronPigs · 28 PAwOBA .301 → .271 (−30)K% 7.1% → 8.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.14%	÷1.019	×1.200	—	—	8.41%
BB% (unintentional) /PA	0.00%	÷1.013	×0.690	—	×0.982	0.00%
HBP% /PA	3.57%	—	×0.940	—	×0.982	3.30%
Singles /BIP	29.17%	÷0.991	×0.930	—	×0.982	26.87%
Doubles /BIP	4.17%	÷1.314	×0.830	—	×0.982	2.58%
Triples /BIP	0.00%	÷0.921	×0.970	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.845	×0.840	—	×0.982	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 98, 2B 163, 3B 84, K 104, BB 103 — 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 .301 → .271; ISO .038 → .025; BABIP .320 → .283. 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 AAALehigh Valley IronPigs · 91 PAwOBA .301 → .258 (−43)K% 17.6% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.58%	÷1.050	×1.200	—	—	20.10%
BB% (unintentional) /PA	6.59%	÷0.970	×0.690	—	×0.992	4.65%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	22.39%	÷1.006	×0.930	×0.976	×0.992	20.04%
Doubles /BIP	8.96%	÷0.999	×0.830	×0.976	×0.992	7.20%
Triples /BIP	0.00%	÷1.136	×0.970	×0.976	×0.992	0.00%
Home runs /BIP	1.49%	÷0.922	×0.840	—	×0.992	1.35%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 101, 2B 100, 3B 127, K 110, BB 94 — 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 ×0.976.

Result: wOBA .301 → .258; ISO .108 → .093; BABIP .309 → .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).

2014 ROKGCL Phillies · 27 PAwOBA .215 → .143 (−71)K% 14.8% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.81%	÷1.000	×1.440	—	—	21.33%
BB% (unintentional) /PA	11.11%	÷1.000	×0.620	—	×0.940	6.48%
HBP% /PA	3.70%	—	×0.720	—	×0.940	2.51%
Singles /BIP	10.53%	÷1.000	×0.820	—	×0.940	8.11%
Doubles /BIP	5.26%	÷1.000	×0.720	—	×0.940	3.56%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.940	0.00%

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 28 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (8.5 yr older than average).

Result: wOBA .215 → .143; ISO .043 → .029; BABIP .158 → .117. 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 AAALehigh Valley IronPigs · 350 PAwOBA .331 → .289 (−42)K% 25.1% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.14%	÷0.985	×1.200	—	—	30.64%
BB% (unintentional) /PA	10.00%	÷1.001	×0.690	—	×1.003	6.91%
HBP% /PA	0.86%	—	×0.940	—	×1.003	0.81%
Singles /BIP	23.96%	÷0.994	×0.930	×1.024	×1.003	23.02%
Doubles /BIP	10.14%	÷0.991	×0.830	×1.024	×1.003	8.72%
Triples /BIP	0.00%	÷1.116	×0.970	×1.024	×1.003	0.00%
Home runs /BIP	3.23%	÷0.891	×0.840	—	×1.003	3.05%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 99, 2B 98, 3B 123, K 97, BB 100 — 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 ×1.024.

Result: wOBA .331 → .289; ISO .141 → .126; BABIP .343 → .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).

2012 AAReading Phillies · 584 PAwOBA .434 → .342 (−92)K% 17.5% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.47%	÷0.963	×1.220	—	—	22.13%
BB% (unintentional) /PA	10.79%	÷0.947	×0.700	—	×0.988	7.88%
HBP% /PA	3.08%	—	×0.850	—	×0.988	2.59%
Singles /BIP	21.71%	÷0.960	×0.970	×0.988	×0.988	21.40%
Doubles /BIP	8.27%	÷1.117	×0.860	×0.988	×0.988	6.22%
Triples /BIP	0.26%	÷0.900	×0.950	×0.988	×0.988	0.27%
Home runs /BIP	9.82%	÷1.289	×0.780	—	×0.988	5.87%

Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 92, 2B 123, 3B 80, K 93, BB 89 — 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 ×0.988.

Result: wOBA .434 → .342; ISO .303 → .196; BABIP .325 → .288. 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 A+Clearwater Threshers · 558 PAwOBA .383 → .307 (−76)K% 17.0% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.03%	÷0.997	×1.420	—	—	24.26%
BB% (unintentional) /PA	9.86%	÷1.009	×0.750	—	×0.978	7.17%
HBP% /PA	1.79%	—	×0.930	—	×0.978	1.63%
Singles /BIP	22.62%	÷1.024	×0.920	×0.988	×0.978	19.64%
Doubles /BIP	11.05%	÷1.007	×0.960	×0.988	×0.978	10.18%
Triples /BIP	0.26%	÷0.945	×0.810	×0.988	×0.978	0.21%
Home runs /BIP	4.37%	÷1.245	×0.880	—	×0.978	3.02%

Factors used: league row FSL. Park (home-season share, regressed): HR 149, 1B 105, 2B 101, 3B 89, K 99, BB 102 — 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 ×0.988.

Result: wOBA .383 → .307; ISO .198 → .152; BABIP .351 → .306. 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 — .