Anthony Alford

PosLF

B/TR/R

Born1994-07-20

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	27	AAAPIT	226	.307/.420/.593	14	9	96	—	.227/.305/.404
2021	27	MLBPIT	148	.233/.311/.406	5	5	103	0.0
2022	28	AAACLE	44	.184/.295/.500	4	2	54	—	.150/.227/.375
2024	30	AA/INTL2 orgs	69	.177/.261/.306	2	1	22	—	.158/.220/.263
2025	31	No MLB games played
2026	32	No MLB games played

Last 3 seasons WAR 0.0

Contract

No contract data on file.

Skills · percentileStatcast 2020-2022

Speed90

Barrel%59

xwOBA22

Avg EV10

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)
2012	18	ROK	GCL Blue Jays	—	20	18	3	0	0	1	2	4	0	4	0	167	250	333	583	167	154	20	10	264	12	—	—	—	—	—	—
2013	19	ROK	GCL Blue Jays	—	30	22	5	2	1	0	6	6	1	2	0	227	414	409	823	182	312	20	20	364	61	—	—	—	—	—	—
2014	20	A	Lansing Lugnuts	—	25	25	8	1	0	1	0	8	0	4	0	320	320	480	800	160	438	32	0	352	70	—	—	—	—	—	—
2014	20	ROK	Bluefield Blue Jays	—	35	29	6	0	0	1	5	13	1	1	0	207	343	310	653	103	333	37	14	309	19	—	—	—	—	—	—
2014	20	INTL	Canberra Cavalry	—	159	135	28	4	1	3	19	46	5	9	2	207	327	319	646	111	291	29	12	302	91	—	—	—	—	—	—
2015	21	A+	Dunedin Blue Jays	—	255	225	68	11	6	3	28	49	1	15	6	302	382	444	826	142	374	19	11	368	87	—	—	—	—	—	—
2015	21	A	Lansing Lugnuts	—	232	188	55	14	1	1	39	60	3	12	1	293	422	394	815	101	419	26	17	372	72	—	—	—	—	—	—
2016	22	A+	Dunedin Blue Jays	—	401	339	80	17	2	9	53	117	5	18	6	236	348	378	725	142	327	29	13	328	52	—	—	—	—	—	—
2016	22	INTL	Mesa Solar Sox	—	86	75	19	3	1	3	11	24	0	8	4	253	349	440	789	187	333	28	13	352	124	—	—	—	—	—	—
2017	23	AA	New Hampshire Fisher Cats	—	289	245	76	14	0	5	35	45	6	18	3	310	409	429	838	118	360	16	12	376	108	—	—	—	—	—	—
2017	23	A+	Dunedin Blue Jays	—	22	21	3	0	0	0	0	8	1	1	0	143	182	143	325		231	36	0	157	-37	—	—	—	—	—	—
2017	23	INTL	Charros de Jalisco	—	114	105	37	6	2	2	6	27	1	8	3	352	393	505	898	152	449	24	5	390	150	—	—	—	—	—	—
2018	24	MLB	Toronto Blue Jays	—	21	19	2	0	0	0	2	9	0	1	0	105	190	105	296		200	43	10	153	-11	-3	+0	+1	-5	+0	-0.7
2018	24	AAA	Buffalo Bisons	—	417	375	90	22	1	5	30	112	10	17	7	240	313	344	657	104	327	27	7	299	62	—	—	—	—	—	—
2018	24	A+	Dunedin Blue Jays	—	25	20	4	1	0	0	3	8	2	0	1	200	360	250	610	50	333	32	12	302	38	—	—	—	—	—	—
2019	25	MLB	Toronto Blue Jays	—	30	28	5	0	0	1	1	11	1	2	0	179	233	286	519	107	250	37	3	238	47	-2	+0	+0	-4	+1	-0.4
2019	25	AAA	Buffalo Bisons	—	319	282	73	16	3	7	31	94	5	22	8	259	343	411	754	152	365	29	10	338	69	—	—	—	—	—	—
2019	25	ROK	GCL Blue Jays	—	15	13	5	2	1	1	2	1	0	0	0	385	467	923	1.390	538	364	7	13	571	152	—	—	—	—	—	—
2020	26	MLB	Pittsburgh Pirates	—	29	28	6	0	1	2	1	8	0	3	0	214	241	500	741	286	222	28	3	317	109	+0	+1	-2	+0	+1	-0.0
2021	27	MLB	Pittsburgh Pirates	—	148	133	31	6	1	5	12	58	3	5	6	233	311	406	717	173	371	39	8	321	103	+1	-1	+2	-4	+3	0.0
2021	27	AAA	Indianapolis Indians	—	226	189	58	12	0	14	33	78	4	9	4	307	420	593	1.013	286	454	35	15	440	96	—	—	—	—	—	—
2022	28	AAA	Columbus Clippers	—	44	38	7	0	0	4	6	15	0	2	0	184	295	500	795	316	158	34	14	346	54	—	—	—	—	—	—
2024	30	AA	Chattanooga Lookouts	—	41	36	8	2	0	1	5	18	0	0	0	222	317	361	678	139	412	44	12	309	28	—	—	—	—	—	—
2024	30	INTL	Yaquis de Obregon	—	28	26	3	0	0	1	2	11	0	1	0	115	179	231	409	115	143	39	7	189	14	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	228	208	44	6	2	8	16	86	4	11	6	212	281	375	656	163	316	38	7	294	85	-4	-0	+1	-13	+5	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	GCL Blue Jays	—	20	19	3	0	0	1	1	6	0	4	0	158	200	316	516	158	127	30	5	186	12	—	—	—	—	—	—
2013	19	ROK MLE	GCL Blue Jays	—	30	24	5	2	1	0	4	9	1	2	0	208	345	375	720	167	239	30	13	258	61	—	—	—	—	—	—
2014	20	A MLE	Lansing Lugnuts	—	25	25	7	1	0	1	0	11	0	4	0	280	280	440	720	160	417	44	0	272	70	—	—	—	—	—	—
2014	20	ROK MLE	Bluefield Blue Jays	—	35	31	4	0	0	1	3	18	1	1	0	129	229	226	454	97	275	51	9	197	19	—	—	—	—	—	—
2015	21	A+ MLE	Dunedin Blue Jays	—	255	231	57	9	5	2	22	73	1	15	6	247	315	355	670	108	347	29	9	297	87	—	—	—	—	—	—
2015	21	A MLE	Lansing Lugnuts	—	232	201	44	9	1	1	26	84	3	12	1	219	317	289	606	70	354	36	11	274	72	—	—	—	—	—	—
2016	22	A+ MLE	Dunedin Blue Jays	—	401	353	60	13	1	7	39	174	5	18	6	170	262	272	534	102	296	43	10	245	52	—	—	—	—	—	—
2017	23	AA MLE	New Hampshire Fisher Cats	—	289	256	75	13	0	4	24	55	6	18	3	293	367	391	758	98	344	19	8	328	108	—	—	—	—	—	—
2017	23	A+ MLE	Dunedin Blue Jays	—	22	21	2	0	0	0	0	11	1	1	0	95	136	95	232		212	50	0	113	-37	—	—	—	—	—	—
2018	24	MLB MLE	Toronto Blue Jays	—	21	19	2	0	0	0	2	9	0	1	0	105	190	105	296		200	43	10	152	-11	-3	+0	+1	-5	+0	-0.7
2018	24	AAA MLE	Buffalo Bisons	—	417	382	84	19	1	4	23	136	10	17	7	220	282	306	588	86	321	33	6	260	62	—	—	—	—	—	—
2018	24	A+ MLE	Dunedin Blue Jays	—	25	21	3	1	0	0	2	12	2	0	1	143	280	190	470	48	305	48	8	225	38	—	—	—	—	—	—
2019	25	MLB MLE	Toronto Blue Jays	—	30	28	5	0	0	1	1	11	1	2	0	179	233	286	519	107	250	37	3	237	47	-2	+0	+0	-4	+1	-0.4
2019	25	AAA MLE	Buffalo Bisons	—	319	290	62	13	3	6	23	116	5	22	8	214	283	341	624	128	327	36	7	270	69	—	—	—	—	—	—
2019	25	ROK MLE	GCL Blue Jays	—	15	14	4	1	1	1	1	1	0	0	0	286	333	714	1.048	429	250	7	7	393	152	—	—	—	—	—	—
2020	26	MLB MLE	Pittsburgh Pirates	—	29	28	6	0	1	2	1	8	0	3	0	214	241	500	741	286	222	28	3	329	109	+0	+1	-2	+0	+1	-0.0
2021	27	MLB MLE	Pittsburgh Pirates	—	148	134	31	6	1	5	11	58	3	5	6	231	304	403	707	172	371	39	7	320	103	+1	-1	+2	-4	+3	0.0
2021	27	AAA MLE	Indianapolis Indians	—	226	203	46	9	0	9	19	97	4	9	4	227	305	404	709	177	383	43	8	310	96	—	—	—	—	—	—
2022	28	AAA MLE	Columbus Clippers	—	44	40	6	0	0	3	4	17	0	2	0	150	227	375	602	225	145	39	9	248	54	—	—	—	—	—	—
2024	30	AA MLE	Chattanooga Lookouts	—	41	38	6	1	0	1	3	22	0	0	0	158	220	263	483	105	342	54	7	209	28	—	—	—	—	—	—
2012	18	ROK MLE	GCL Blue Jays	—	20	19	3	0	0	1	1	6	0	4	0	158	200	316	516	158	167	30	5	186	12	—	—	—	—	—	—
2012	18	ROK RAW	GCL Blue Jays	—	20	18	3	0	0	1	2	4	0	4	0	167	250	333	583	167	154	20	10	264	12	—	—	—	—	—	—
2013	19	ROK MLE	GCL Blue Jays	—	30	24	5	2	1	0	4	9	1	2	0	208	345	375	720	167	333	30	13	258	61	—	—	—	—	—	—
2013	19	ROK RAW	GCL Blue Jays	—	30	22	5	2	1	0	6	6	1	2	0	227	414	409	823	182	312	20	20	364	61	—	—	—	—	—	—
2014	20	INTL MLE	3 teams	—	219	201	38	3	0	5	12	106	6	14	2	189	256	279	534	90	367	48	5	228	41	—	—	—	—	—	—
2014	20	INTL RAW	3 teams	—	219	189	42	5	1	5	24	67	6	14	2	222	329	339	667	116	316	31	11	309	41	—	—	—	—	—	—
2015	21	A+ MLE	2 teams	—	487	431	100	19	5	3	49	157	4	27	7	232	316	320	636	88	354	32	10	286	80	—	—	—	—	—	—
2015	21	A+ RAW	2 teams	—	487	413	123	25	7	4	67	109	4	27	7	298	401	421	822	123	393	22	14	370	80	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	487	431	74	16	1	9	47	211	5	26	10	172	261	276	537	104	302	43	10	245	52	—	—	—	—	—	—
2016	22	A+ RAW	2 teams	—	487	414	99	20	3	12	64	141	5	26	10	239	348	389	737	150	328	29	13	332	52	—	—	—	—	—	—
2017	23	AA MLE	3 teams	—	425	379	103	17	0	5	33	90	8	27	6	272	343	356	699	84	340	21	8	313	98	—	—	—	—	—	—
2017	23	AA RAW	3 teams	—	425	371	116	20	2	7	41	80	8	27	6	313	393	434	827	121	378	19	10	369	98	—	—	—	—	—	—
2018	24	AAA MLE	3 teams	—	463	422	88	19	1	4	27	156	12	18	8	209	275	287	562	78	318	34	6	253	58	—	—	—	—	—	—
2018	24	AAA RAW	3 teams	—	463	414	96	23	1	5	35	129	12	18	8	232	310	329	639	97	323	28	8	292	58	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	364	332	69	14	4	7	25	129	6	24	8	208	275	337	613	130	316	35	7	272	70	—	—	—	—	—	—
2019	25	AAA RAW	3 teams	—	364	323	83	18	4	9	34	106	6	24	8	257	339	421	760	164	356	29	9	339	70	—	—	—	—	—	—
2020	26	MLB MLE	Pittsburgh Pirates	—	29	28	6	0	1	2	1	8	0	3	0	214	241	500	741	286	222	28	3	329	109	+0	+1	-2	+0	+1	-0.0
2020	26	MLB RAW	Pittsburgh Pirates	—	29	28	6	0	1	2	1	8	0	3	0	214	241	500	741	286	222	28	3	317	109	+0	+1	-2	+0	+1	-0.0
2021	27	AAA MLE	2 teams	—	374	337	77	15	1	14	30	155	7	14	10	228	305	404	708	175	375	41	8	314	99	—	—	—	—	—	—
2021	27	AAA RAW	2 teams	—	374	322	89	18	1	19	45	136	7	14	10	276	377	516	893	239	419	36	12	393	99	—	—	—	—	—	—
2022	28	AAA MLE	Columbus Clippers	—	44	40	6	0	0	3	4	17	0	2	0	150	227	375	602	225	150	39	9	248	54	—	—	—	—	—	—
2022	28	AAA RAW	Columbus Clippers	—	44	38	7	0	0	4	6	15	0	2	0	184	295	500	795	316	158	34	14	346	54	—	—	—	—	—	—
2024	30	AA MLE	2 teams	—	69	63	10	2	0	1	6	37	0	1	0	159	232	238	470	79	360	54	9	209	28	—	—	—	—	—	—
2024	30	AA RAW	2 teams	—	69	62	11	2	0	2	7	29	0	1	0	177	261	306	567	129	290	42	10	260	28	—	—	—	—	—	—
2012	18	ROK MLE	GCL Blue Jays	—	20	19	3	0	0	1	1	6	0	4	0	158	200	316	516	158	127	30	5	186	12	—	—	—	—	—	—
2013	19	ROK MLE	GCL Blue Jays	—	30	25	5	2	1	0	4	9	1	2	0	200	345	360	705	160	239	30	13	258	61	—	—	—	—	—	—
2014	20	INTL MLE	3 teams	—	219	199	38	3	0	5	12	106	6	14	2	191	256	281	537	90	334	48	5	228	41	—	—	—	—	—	—
2015	21	A+ MLE	2 teams	—	487	431	100	19	5	3	49	157	4	27	7	232	316	320	636	88	350	32	10	286	80	—	—	—	—	—	—
2016	22	A+ MLE	2 teams	—	487	432	74	16	1	9	47	211	5	26	10	171	261	275	536	104	296	43	10	245	52	—	—	—	—	—	—
2017	23	AA MLE	3 teams	—	425	381	103	17	0	5	33	90	8	27	6	270	343	354	697	84	335	21	8	313	98	—	—	—	—	—	—
2018	24	AAA MLE	3 teams	—	463	421	88	19	1	4	27	156	12	18	8	209	275	287	563	78	315	34	6	253	58	—	—	—	—	—	—
2019	25	AAA MLE	3 teams	—	364	330	69	14	4	7	25	129	6	24	8	209	275	339	615	130	317	35	7	272	70	—	—	—	—	—	—
2020	26	MLB MLE	Pittsburgh Pirates	—	29	28	6	0	1	2	1	8	0	3	0	214	241	500	741	286	222	28	3	329	109	—	—	—	—	—	—
2021	27	AAA MLE	2 teams	—	374	334	77	15	1	14	30	155	7	14	10	231	305	407	712	177	378	41	8	314	99	—	—	—	—	—	—
2022	28	AAA MLE	Columbus Clippers	—	44	40	6	0	0	3	4	17	0	2	0	150	227	375	602	225	145	39	9	248	54	—	—	—	—	—	—
2024	30	AA MLE	2 teams	—	69	63	10	2	0	1	6	37	0	1	0	159	232	238	470	79	342	54	9	209	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	AA MLE	2 teams	—	69	63	10	2	0	1	6	37	0	1	0	159	232	238	470	79	342	54	9	209	28	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	228	208	44	6	2	8	16	86	4	11	6	212	281	375	656	163	316	38	7	294	71	-4	-0	+1	-13	+5	-1.1
/ 162G	—	A+C		—	650	593	126	17	6	23	46	245	11	31	17	212	282	378	659	165	317	38	7	294	71	-12	-1	+3	-36	+14	-3.2
Career	—	MLE		—	3011	2707	579	107	14	54	239	1081	49	162	51	214	289	324	613	110	331	36	8	273	71	-4	-0	+1	-13	+5	-1.1
/ 162G	—	MLE		—	650	584	125	23	3	12	52	233	11	35	11	214	291	325	616	111	330	36	8	273	71	-12	-1	+3	-36	+14	-3.2

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.

2024 AAChattanooga Lookouts · 41 PAwOBA .301 → .209 (−93)K% 43.9% → 53.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	43.90%	÷1.005	×1.220	—	—	53.29%
BB% (unintentional) /PA	12.20%	÷0.970	×0.680	—	×0.948	8.11%
HBP% /PA	0.00%	—	×0.840	—	×0.948	0.00%
Singles /BIP	27.78%	÷0.964	×0.920	—	×0.948	25.14%
Doubles /BIP	11.11%	÷1.236	×0.910	—	×0.948	7.76%
Triples /BIP	0.00%	÷1.001	×0.880	—	×0.948	0.00%
Home runs /BIP	5.56%	÷1.089	×0.800	—	×0.948	3.87%

Factors used: league row SL. Park (home-season share, regressed): HR 118, 1B 93, 2B 147, 3B 100, K 101, BB 94 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .301 → .209; ISO .139 → .085; BABIP .412 → .342. 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).

2022 AAAColumbus Clippers · 44 PAwOBA .336 → .248 (−88)K% 34.1% → 39.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.09%	÷1.036	×1.200	—	—	39.50%
BB% (unintentional) /PA	13.64%	÷0.930	×0.690	—	×0.992	10.03%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	13.04%	÷0.941	×0.930	—	×0.992	12.79%
Doubles /BIP	0.00%	÷1.040	×0.830	—	×0.992	0.00%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.992	0.00%
Home runs /BIP	17.39%	÷1.001	×0.700	—	×0.992	12.07%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 88, 2B 108, 3B 80, K 107, BB 86 — 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).

Result: wOBA .336 → .248; ISO .316 → .212; BABIP .158 → .145. 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 AAAIndianapolis Indians · 226 PAwOBA .426 → .310 (−116)K% 34.5% → 43.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.51%	÷0.961	×1.200	—	—	43.11%
BB% (unintentional) /PA	13.72%	÷1.100	×0.690	—	×1.003	8.63%
HBP% /PA	1.77%	—	×0.940	—	×1.003	1.67%
Singles /BIP	28.83%	÷1.011	×0.930	×0.987	×1.003	26.24%
Doubles /BIP	10.81%	÷0.986	×0.830	×0.987	×1.003	9.00%
Triples /BIP	0.00%	÷0.914	×0.920	×0.987	×1.003	0.00%
Home runs /BIP	12.61%	÷1.096	×0.700	—	×1.003	8.08%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 102, 2B 97, 3B 83, K 92, BB 120 — 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 ×0.987.

Result: wOBA .426 → .310; ISO .286 → .185; BABIP .454 → .383. 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 AAABuffalo Bisons · 319 PAwOBA .329 → .270 (−59)K% 29.5% → 36.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.47%	÷0.968	×1.200	—	—	36.52%
BB% (unintentional) /PA	9.72%	÷0.953	×0.690	—	×1.033	7.27%
HBP% /PA	1.57%	—	×0.940	—	×1.033	1.52%
Singles /BIP	25.00%	÷1.011	×0.930	×0.955	×1.033	22.68%
Doubles /BIP	8.51%	÷0.954	×0.830	×0.955	×1.033	7.30%
Triples /BIP	1.60%	÷0.909	×0.970	×0.955	×1.033	1.68%
Home runs /BIP	3.72%	÷1.000	×0.840	—	×1.033	3.23%

Factors used: league row IL. Park (home-season share, regressed): HR 100, 1B 102, 2B 91, 3B 82, K 94, BB 91 — 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 ×0.955.

Result: wOBA .329 → .270; ISO .152 → .126; BABIP .365 → .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).

2019 ROKGCL Blue Jays · 15 PAwOBA .555 → .393 (−162)K% 6.7% → 9.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷1.000	×1.440	—	—	9.60%
BB% (unintentional) /PA	13.33%	÷1.000	×0.620	—	×0.945	7.81%
HBP% /PA	0.00%	—	×0.720	—	×0.945	0.00%
Singles /BIP	8.33%	÷1.000	×0.820	—	×0.945	6.46%
Doubles /BIP	16.67%	÷1.000	×0.720	—	×0.945	11.34%
Triples /BIP	8.33%	÷1.000	×0.720	—	×0.945	5.67%
Home runs /BIP	8.33%	÷1.000	×0.780	—	×0.945	6.14%

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 .555 → .393; ISO .538 → .392; BABIP .364 → .250. 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 AAABuffalo Bisons · 417 PAwOBA .293 → .260 (−33)K% 26.9% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.86%	÷0.993	×1.200	—	—	32.46%
BB% (unintentional) /PA	7.19%	÷0.954	×0.690	—	×1.048	5.45%
HBP% /PA	2.40%	—	×0.940	—	×1.048	2.36%
Singles /BIP	23.57%	÷0.970	×0.930	×1.015	×1.048	24.06%
Doubles /BIP	8.37%	÷0.987	×0.830	×1.015	×1.048	7.49%
Triples /BIP	0.38%	÷1.150	×0.970	×1.015	×1.048	0.34%
Home runs /BIP	1.90%	÷1.080	×0.840	—	×1.048	1.55%

Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — 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 ×1.015.

Result: wOBA .293 → .260; ISO .104 → .085; BABIP .327 → .321. 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 A+Dunedin Blue Jays · 25 PAwOBA .296 → .225 (−71)K% 32.0% → 46.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.00%	÷0.979	×1.420	—	—	46.42%
BB% (unintentional) /PA	12.00%	÷1.011	×0.750	—	×0.988	8.80%
HBP% /PA	8.00%	—	×0.930	—	×0.988	7.35%
Singles /BIP	25.00%	÷1.015	×0.920	—	×0.988	22.39%
Doubles /BIP	8.33%	÷0.977	×0.960	—	×0.988	8.09%
Triples /BIP	0.00%	÷1.005	×0.810	—	×0.988	0.00%
Home runs /BIP	0.00%	÷1.147	×0.880	—	×0.988	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 129, 1B 103, 2B 95, 3B 101, K 96, BB 102 — 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).

Result: wOBA .296 → .225; ISO .050 → .038; BABIP .333 → .305. 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 AANew Hampshire Fisher Cats · 289 PAwOBA .367 → .328 (−39)K% 15.6% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.57%	÷1.007	×1.220	—	—	18.87%
BB% (unintentional) /PA	11.42%	÷0.995	×0.700	—	×1.027	8.25%
HBP% /PA	2.08%	—	×0.850	—	×1.027	1.81%
Singles /BIP	28.50%	÷1.024	×0.970	×1.010	×1.027	28.01%
Doubles /BIP	7.00%	÷1.024	×0.860	×1.010	×1.027	6.10%
Triples /BIP	0.00%	÷0.900	×0.950	×1.010	×1.027	0.00%
Home runs /BIP	2.50%	÷1.165	×0.780	—	×1.027	1.72%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 105, 2B 105, 3B 80, K 101, BB 99 — 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 ×1.010.

Result: wOBA .367 → .328; ISO .118 → .094; BABIP .360 → .344. 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 — .