Dalton Pompey

PosCF

B/TS/R

Born1992-12-11

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	25	AAA/AA/A+TOR	207	.270/.353/.416	5	10	88	—	.243/.308/.361
2019	26	AAA/A+TOR	53	.209/.346/.209	0	0	40	—	.176/.270/.176
2021	28	AAA/AALAA	144	.276/.361/.449	5	2	68	—	.218/.278/.331

Contract

No contract data on file.

Scouting grades · 20-80

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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	17	ROK	GCL Blue Jays	—	51	47	9	0	0	2	3	10	1	4	1	191	255	319	574	128	200	20	6	261	13	—	—	—	—	—	—
2011	18	ROK	Bluefield Blue Jays	—	270	226	54	10	2	5	38	58	4	23	1	239	358	367	725	128	301	21	14	331	49	—	—	—	—	—	—
2012	19	A	Lansing Lugnuts	—	24	22	5	0	1	0	1	5	0	1	1	227	261	318	579	91	294	21	4	247	23	—	—	—	—	—	—
2013	20	A	Lansing Lugnuts	—	511	437	114	22	9	6	63	106	5	38	10	261	360	394	754	133	329	21	12	338	70	—	—	—	—	—	—
2014	21	MLB	Toronto Blue Jays	—	43	39	9	1	2	1	4	12	0	1	0	231	302	436	738	205	308	28	9	323	103	+0	+0	+1	-7	+1	-0.5
2014	21	AAA	Buffalo Bisons	—	56	53	19	5	0	0	3	10	0	6	0	358	393	453	846	94	442	18	5	378	111	—	—	—	—	—	—
2014	21	AA	New Hampshire Fisher Cats	—	127	112	33	5	3	3	14	18	1	8	5	295	378	473	851	179	330	14	11	377	115	—	—	—	—	—	—
2014	21	A+	Dunedin Blue Jays	—	317	276	88	12	6	6	35	56	2	29	2	319	399	471	870	152	380	18	11	383	105	—	—	—	—	—	—
2014	21	INTL	Mesa Solar Sox	—	81	70	18	4	2	0	11	14	0	9	2	257	358	371	729	114	321	17	14	332	111	—	—	—	—	—	—
2015	22	MLB	Toronto Blue Jays	—	103	94	21	8	0	2	7	23	2	5	1	223	291	372	664	149	275	22	7	298	88	-1	+1	-2	+2	+2	0.2
2015	22	AAA	Buffalo Bisons	—	295	253	72	7	4	1	36	41	1	16	7	285	376	356	732	71	332	14	12	331	97	—	—	—	—	—	—
2015	22	AA	New Hampshire Fisher Cats	—	148	134	47	2	3	6	11	23	2	7	3	351	408	545	953	194	387	16	7	416	121	—	—	—	—	—	—
2015	22	INTL	Leones del Escogido	—	22	21	3	0	0	0	0	3	1	1	0	143	182	143	325		167	14	0	157	-8	—	—	—	—	—	—
2016	23	AAA	Buffalo Bisons	—	383	337	91	14	1	4	40	72	2	18	7	270	350	353	703	83	331	19	10	320	72	—	—	—	—	—	—
2017	24	AAA	Buffalo Bisons	—	17	17	2	1	0	0	0	5	0	0	0	118	118	176	294	59	167	29	0	129	-44	—	—	—	—	—	—
2017	24	A+	Dunedin Blue Jays	—	32	27	7	1	1	0	5	3	0	1	0	259	375	370	745	111	292	9	16	341	70	—	—	—	—	—	—
2018	25	AAA	Buffalo Bisons	—	168	145	37	8	0	4	14	41	3	8	2	255	333	393	726	138	317	24	8	317	80	—	—	—	—	—	—
2018	25	AA	New Hampshire Fisher Cats	—	19	15	3	0	0	0	4	3	0	1	0	200	368	200	568		250	16	21	290	52	—	—	—	—	—	—
2018	25	A+	Dunedin Blue Jays	—	20	18	8	3	0	1	2	2	0	1	0	444	500	778	1.278	333	467	10	10	547	189	—	—	—	—	—	—
2019	26	AAA	Buffalo Bisons	—	34	27	7	0	0	0	6	7	0	0	1	259	394	259	653		333	21	18	309	70	—	—	—	—	—	—
2019	26	A+	Dunedin Blue Jays	—	19	16	2	0	0	0	3	5	0	0	1	125	263	125	388		182	26	16	205	-14	—	—	—	—	—	—
2021	28	AAA	Salt Lake Bees	—	35	30	11	3	0	0	4	9	1	1	2	367	457	467	924	100	524	26	11	418	108	—	—	—	—	—	—
2021	28	AA	Rocket City Trash Pandas	—	109	97	24	2	1	5	11	20	1	1	0	247	330	443	774	196	264	18	10	344	55	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	146	133	30	9	2	3	11	35	2	6	1	226	295	391	685	165	284	24	8	306	93	-1	+1	-1	-5	+3	-0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	17	ROK MLE	GCL Blue Jays	—	51	48	6	0	0	1	2	14	1	4	1	125	176	188	364	62	166	27	4	187	13	—	—	—	—	—	—
2011	18	ROK MLE	Bluefield Blue Jays	—	270	239	42	7	1	4	25	82	4	23	1	176	265	264	529	88	250	30	9	240	49	—	—	—	—	—	—
2012	19	A MLE	Lansing Lugnuts	—	24	22	4	0	1	0	1	7	0	1	1	182	217	273	490	91	267	29	4	202	23	—	—	—	—	—	—
2013	20	A MLE	Lansing Lugnuts	—	511	459	101	19	7	5	41	145	5	38	10	220	291	325	616	105	302	28	8	271	70	—	—	—	—	—	—
2014	21	MLB MLE	Toronto Blue Jays	—	43	39	9	1	2	1	4	12	0	1	0	231	302	436	738	205	308	28	9	320	103	+0	+0	+1	-7	+1	-0.5
2014	21	AAA MLE	Buffalo Bisons	—	56	54	18	4	0	0	2	13	0	6	0	333	357	407	765	74	431	23	4	332	111	—	—	—	—	—	—
2014	21	AA MLE	New Hampshire Fisher Cats	—	127	116	33	5	3	2	10	22	1	8	5	284	346	431	777	147	335	17	8	338	115	—	—	—	—	—	—
2014	21	A+ MLE	Dunedin Blue Jays	—	317	284	80	11	5	4	27	78	2	29	2	282	348	398	746	116	364	25	9	324	105	—	—	—	—	—	—
2015	22	MLB MLE	Toronto Blue Jays	—	103	94	21	8	0	2	7	23	2	5	1	223	291	372	664	149	275	22	7	298	88	-1	+1	-2	+2	+2	0.2
2015	22	AAA MLE	Buffalo Bisons	—	295	265	76	7	5	1	24	49	1	16	7	287	348	362	711	75	334	17	8	312	97	—	—	—	—	—	—
2015	22	AA MLE	New Hampshire Fisher Cats	—	148	137	42	2	2	4	8	29	2	7	3	307	354	438	792	131	362	20	5	347	121	—	—	—	—	—	—
2016	23	AAA MLE	Buffalo Bisons	—	383	350	86	13	1	3	28	92	2	18	7	246	305	314	620	69	318	24	7	275	72	—	—	—	—	—	—
2017	24	AAA MLE	Buffalo Bisons	—	17	17	2	1	0	0	0	6	0	0	0	118	118	176	294	59	154	35	0	103	-44	—	—	—	—	—	—
2017	24	A+ MLE	Dunedin Blue Jays	—	32	29	7	1	1	0	3	4	0	1	0	241	312	345	657	103	257	12	9	271	70	—	—	—	—	—	—
2018	25	AAA MLE	Buffalo Bisons	—	168	149	35	7	0	3	10	50	3	8	2	235	296	342	639	107	308	30	6	286	80	—	—	—	—	—	—
2018	25	AA MLE	New Hampshire Fisher Cats	—	19	16	3	0	0	0	3	4	0	1	0	188	316	188	503		241	21	16	245	52	—	—	—	—	—	—
2018	25	A+ MLE	Dunedin Blue Jays	—	20	19	7	3	0	1	1	3	0	1	0	368	400	684	1.084	316	417	15	5	447	189	—	—	—	—	—	—
2019	26	AAA MLE	Buffalo Bisons	—	34	29	7	0	0	0	4	9	0	0	1	241	333	241	575		308	26	12	272	70	—	—	—	—	—	—
2019	26	A+ MLE	Dunedin Blue Jays	—	19	17	1	0	0	0	2	7	0	0	1	59	158	59	217		156	37	11	147	-14	—	—	—	—	—	—
2021	28	AAA MLE	Salt Lake Bees	—	35	32	9	2	0	0	2	11	1	1	2	281	343	344	687	62	453	31	6	328	108	—	—	—	—	—	—
2021	28	AA MLE	Rocket City Trash Pandas	—	109	101	20	2	1	3	7	24	1	1	0	198	257	327	584	129	224	22	6	250	55	—	—	—	—	—	—
2010	17	ROK MLE	GCL Blue Jays	—	51	48	6	0	0	1	2	14	1	4	1	125	176	188	364	62	152	27	4	187	13	—	—	—	—	—	—
2010	17	ROK RAW	GCL Blue Jays	—	51	47	9	0	0	2	3	10	1	4	1	191	255	319	574	128	200	20	6	261	13	—	—	—	—	—	—
2011	18	ROK MLE	Bluefield Blue Jays	—	270	239	42	7	1	4	25	82	4	23	1	176	265	264	529	88	248	30	9	240	49	—	—	—	—	—	—
2011	18	ROK RAW	Bluefield Blue Jays	—	270	226	54	10	2	5	38	58	4	23	1	239	358	367	725	128	301	21	14	331	49	—	—	—	—	—	—
2012	19	A MLE	Lansing Lugnuts	—	24	22	4	0	1	0	1	7	0	1	1	182	217	273	490	91	267	29	4	202	23	—	—	—	—	—	—
2012	19	A RAW	Lansing Lugnuts	—	24	22	5	0	1	0	1	5	0	1	1	227	261	318	579	91	294	21	4	247	23	—	—	—	—	—	—
2013	20	A MLE	Lansing Lugnuts	—	511	459	101	19	7	5	41	145	5	38	10	220	291	325	616	105	308	28	8	271	70	—	—	—	—	—	—
2013	20	A RAW	Lansing Lugnuts	—	511	437	114	22	9	6	63	106	5	38	10	261	360	394	754	133	329	21	12	338	70	—	—	—	—	—	—
2014	21	A+ MLE	5 teams	—	624	568	160	24	12	8	49	144	3	53	9	282	342	408	750	127	364	23	8	328	108	—	—	—	—	—	—
2014	21	A+ RAW	5 teams	—	624	550	167	27	13	10	67	110	3	53	9	304	382	455	837	151	363	18	11	371	108	—	—	—	—	—	—
2015	22	AAA MLE	4 teams	—	568	516	145	17	8	7	40	105	6	29	11	281	340	386	726	105	338	18	7	319	102	—	—	—	—	—	—
2015	22	AAA RAW	4 teams	—	568	502	143	17	7	9	54	90	6	29	11	285	361	400	762	116	329	16	10	341	102	—	—	—	—	—	—
2016	23	AAA MLE	Buffalo Bisons	—	383	350	86	13	1	3	28	92	2	18	7	246	305	314	620	69	323	24	7	275	72	—	—	—	—	—	—
2016	23	AAA RAW	Buffalo Bisons	—	383	337	91	14	1	4	40	72	2	18	7	270	350	353	703	83	331	19	10	320	72	—	—	—	—	—	—
2017	24	A+ MLE	2 teams	—	49	46	8	2	1	0	3	11	0	1	0	174	224	261	485	87	229	22	6	213	30	—	—	—	—	—	—
2017	24	A+ RAW	2 teams	—	49	44	9	2	1	0	5	8	0	1	0	205	286	295	581	91	250	16	10	267	30	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	207	183	46	10	0	4	15	56	3	10	2	251	318	372	690	120	331	27	7	298	88	—	—	—	—	—	—
2018	25	AAA RAW	3 teams	—	207	178	48	11	0	5	20	46	3	10	2	270	353	416	769	146	328	22	10	336	88	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	53	45	8	0	0	0	7	16	0	0	2	178	288	178	466		267	30	13	227	40	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	53	43	9	0	0	0	9	12	0	0	2	209	346	209	555		281	23	17	272	40	—	—	—	—	—	—
2021	28	AA MLE	2 teams	—	144	133	29	4	1	3	9	35	2	2	2	218	278	331	609	113	274	24	6	269	68	—	—	—	—	—	—
2021	28	AA RAW	2 teams	—	144	127	35	5	1	5	15	29	2	2	2	276	361	449	810	173	323	20	10	362	68	—	—	—	—	—	—
2010	17	ROK MLE	GCL Blue Jays	—	51	48	6	0	0	1	2	14	1	4	1	125	176	188	364	62	166	27	4	187	13	—	—	—	—	—	—
2011	18	ROK MLE	Bluefield Blue Jays	—	270	239	42	7	1	4	25	82	4	23	1	176	265	264	529	88	250	30	9	240	49	—	—	—	—	—	—
2012	19	A MLE	Lansing Lugnuts	—	24	23	4	0	1	0	1	7	0	1	1	174	217	261	478	87	267	29	4	202	23	—	—	—	—	—	—
2013	20	A MLE	Lansing Lugnuts	—	511	460	101	19	7	5	41	145	5	38	10	220	291	324	615	104	302	28	8	271	70	—	—	—	—	—	—
2014	21	A+ MLE	5 teams	—	624	567	160	24	12	8	49	144	3	53	9	282	342	409	751	127	360	23	8	328	108	—	—	—	—	—	—
2015	22	AAA MLE	4 teams	—	568	517	145	17	8	7	40	105	6	29	11	280	340	385	725	104	331	18	7	319	102	—	—	—	—	—	—
2016	23	AAA MLE	Buffalo Bisons	—	383	350	86	13	1	3	28	92	2	18	7	246	305	314	620	69	318	24	7	275	72	—	—	—	—	—	—
2017	24	A+ MLE	2 teams	—	49	46	8	2	1	0	3	11	0	1	0	174	224	261	485	87	221	22	6	213	30	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	207	187	46	10	0	4	15	56	3	10	2	246	318	364	682	118	312	27	7	298	88	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	53	46	8	0	0	0	7	16	0	0	2	174	288	174	462		254	30	13	227	40	—	—	—	—	—	—
2021	28	AA MLE	2 teams	—	144	132	29	4	1	3	9	35	2	2	2	220	278	333	611	114	280	24	6	269	68	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	146	133	30	9	2	3	11	35	2	6	1	226	295	391	685	165	284	24	8	306	81	-1	+1	-1	-5	+3	-0.3
/ 162G	—	A+C		—	650	592	133	40	9	13	49	156	9	27	4	225	294	389	682	164	284	24	8	306	81	-5	+4	-5	-21	+14	-1.4
Career	—	MLE		—	2884	2609	635	96	32	35	220	707	26	179	46	243	309	345	654	102	319	25	8	288	81	-1	+1	-1	-5	+3	-0.3
/ 162G	—	MLE		—	650	588	143	22	7	8	50	159	6	40	10	243	309	345	655	102	318	24	8	288	81	-5	+4	-5	-21	+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.

2021 AARocket City Trash Pandas · 109 PAwOBA .331 → .250 (−81)K% 18.3% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.35%	÷1.018	×1.220	—	—	21.99%
BB% (unintentional) /PA	9.17%	÷0.992	×0.690	—	×0.958	6.12%
HBP% /PA	0.92%	—	×0.850	—	×0.958	0.75%
Singles /BIP	20.78%	÷0.985	×0.940	×0.964	×0.958	18.32%
Doubles /BIP	2.60%	÷0.947	×0.870	×0.964	×0.958	2.20%
Triples /BIP	1.30%	÷1.150	×0.920	×0.964	×0.958	0.96%
Home runs /BIP	6.49%	÷1.249	×0.780	—	×0.958	3.88%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 97, 2B 89, 3B 130, K 104, BB 98 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .331 → .250; ISO .196 → .126; BABIP .264 → .224. 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 AAASalt Lake Bees · 35 PAwOBA .407 → .328 (−80)K% 25.7% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.71%	÷0.982	×1.200	—	—	31.41%
BB% (unintentional) /PA	11.43%	÷1.090	×0.690	—	×0.982	7.11%
HBP% /PA	2.86%	—	×0.940	—	×0.982	2.64%
Singles /BIP	38.10%	÷1.032	×0.930	—	×0.982	33.72%
Doubles /BIP	14.29%	÷1.002	×0.830	—	×0.982	11.62%
Triples /BIP	0.00%	÷1.150	×0.920	—	×0.982	0.00%
Home runs /BIP	0.00%	÷0.907	×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 81, 1B 106, 2B 100, 3B 130, K 96, BB 118 — 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 .407 → .328; ISO .100 → .080; BABIP .524 → .453. 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 · 34 PAwOBA .312 → .272 (−41)K% 20.6% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.59%	÷0.968	×1.200	—	—	25.51%
BB% (unintentional) /PA	17.65%	÷0.953	×0.690	—	×1.003	12.82%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	35.00%	÷1.011	×0.930	—	×1.003	32.28%
Doubles /BIP	0.00%	÷0.954	×0.830	—	×1.003	0.00%
Triples /BIP	0.00%	÷0.909	×0.970	—	×1.003	0.00%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.003	0.00%

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 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .312 → .272; ISO .000 → .000; BABIP .333 → .308. 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 A+Dunedin Blue Jays · 19 PAwOBA .202 → .147 (−54)K% 26.3% → 38.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.32%	÷0.966	×1.420	—	—	38.68%
BB% (unintentional) /PA	15.79%	÷0.993	×0.750	—	×0.958	11.42%
HBP% /PA	0.00%	—	×0.930	—	×0.958	0.00%
Singles /BIP	18.18%	÷1.029	×0.920	—	×0.958	15.58%
Doubles /BIP	0.00%	÷0.992	×0.960	—	×0.958	0.00%
Triples /BIP	0.00%	÷1.150	×0.810	—	×0.958	0.00%
Home runs /BIP	0.00%	÷1.194	×0.880	—	×0.958	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 139, 1B 106, 2B 98, 3B 130, K 93, BB 99 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .202 → .147; ISO .000 → .000; BABIP .182 → .156. 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 · 168 PAwOBA .316 → .286 (−30)K% 24.4% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.40%	÷0.993	×1.200	—	—	29.50%
BB% (unintentional) /PA	8.33%	÷0.954	×0.690	—	×1.018	6.14%
HBP% /PA	1.79%	—	×0.940	—	×1.018	1.71%
Singles /BIP	24.04%	÷0.970	×0.930	×1.032	×1.018	24.22%
Doubles /BIP	7.69%	÷0.987	×0.830	×1.032	×1.018	6.80%
Triples /BIP	0.00%	÷1.150	×0.970	×1.032	×1.018	0.00%
Home runs /BIP	3.85%	÷1.080	×0.840	—	×1.018	3.05%

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 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.

Result: wOBA .316 → .286; ISO .138 → .116; BABIP .317 → .308. 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 · 20 PAwOBA .532 → .447 (−85)K% 10.0% → 14.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.00%	÷0.979	×1.420	—	—	14.51%
BB% (unintentional) /PA	10.00%	÷1.011	×0.750	—	×0.968	7.18%
HBP% /PA	0.00%	—	×0.930	—	×0.968	0.00%
Singles /BIP	25.00%	÷1.015	×0.920	—	×0.968	21.94%
Doubles /BIP	18.75%	÷0.977	×0.960	—	×0.968	17.83%
Triples /BIP	0.00%	÷1.005	×0.810	—	×0.968	0.00%
Home runs /BIP	6.25%	÷1.147	×0.880	—	×0.968	4.64%

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 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .532 → .447; ISO .333 → .276; BABIP .467 → .417. 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 AANew Hampshire Fisher Cats · 19 PAwOBA .284 → .245 (−39)K% 15.8% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷1.033	×1.220	—	—	18.64%
BB% (unintentional) /PA	21.05%	÷0.961	×0.700	—	×0.988	15.15%
HBP% /PA	0.00%	—	×0.850	—	×0.988	0.00%
Singles /BIP	25.00%	÷0.995	×0.970	—	×0.988	24.08%
Doubles /BIP	0.00%	÷0.980	×0.860	—	×0.988	0.00%
Triples /BIP	0.00%	÷1.086	×0.950	—	×0.988	0.00%
Home runs /BIP	0.00%	÷0.945	×0.780	—	×0.988	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 89, 1B 99, 2B 96, 3B 117, K 107, BB 92 — 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).

Result: wOBA .284 → .245; ISO .000 → .000; BABIP .250 → .241. 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 A+Dunedin Blue Jays · 32 PAwOBA .333 → .271 (−62)K% 9.4% → 13.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.38%	÷1.007	×1.420	—	—	13.22%
BB% (unintentional) /PA	15.62%	÷1.118	×0.750	—	×0.978	10.25%
HBP% /PA	0.00%	—	×0.930	—	×0.978	0.00%
Singles /BIP	20.83%	÷1.002	×0.920	—	×0.978	18.71%
Doubles /BIP	4.17%	÷0.940	×0.960	—	×0.978	4.16%
Triples /BIP	4.17%	÷1.150	×0.810	—	×0.978	2.87%
Home runs /BIP	0.00%	÷1.265	×0.880	—	×0.978	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 153, 1B 100, 2B 88, 3B 130, K 101, BB 124 — 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).

Result: wOBA .333 → .271; ISO .111 → .090; BABIP .292 → .257. 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).