Daniel Robertson

Pos2B

B/TR/R

Born1994-03-22

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	27	AAAMIL	88	.115/.216/.154	0	0	-16	—	.086/.159/.111
2021	27	MLBMIL	90	.164/.307/.274	2	0	66	-0.4
2022	28	AAA/ROKPHI	263	.219/.321/.395	8	0	47	—	.173/.248/.300
2023	29	AAAATL	211	.220/.340/.316	3	0	65	—	.205/.297/.281
2024	30	No MLB games played
2025	31	No MLB games played
2026	32	No MLB games played

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

Speed30

xwOBA28

Avg EV11

Barrel%10

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	AZL Athletics	—	127	101	30	10	2	4	16	15	5	2	0	297	418	554	972	257	302	12	13	409	103	—	—	—	—	—	—
2013	19	A	Beloit Snappers	—	451	401	111	21	1	9	41	79	7	1	7	277	354	401	756	125	324	18	9	340	73	—	—	—	—	—	—
2014	20	A+	Stockton Ports	—	642	548	170	37	3	15	72	94	16	4	4	310	406	471	876	161	349	15	11	389	110	—	—	—	—	—	—
2014	20	INTL	Mesa Solar Sox	—	88	73	22	1	0	1	11	20	2	0	3	301	407	356	763	55	389	23	12	348	122	—	—	—	—	—	—
2015	21	AA	Montgomery Biscuits	—	347	299	82	20	5	4	33	58	11	2	3	274	367	415	782	140	324	17	10	349	95	—	—	—	—	—	—
2015	21	INTL	Mesa Solar Sox	—	89	79	18	3	0	0	9	12	1	1	0	228	315	266	580	38	269	13	10	275	72	—	—	—	—	—	—
2016	22	AAA	Durham Bulls	—	511	436	113	21	3	5	58	100	11	2	1	259	360	356	716	96	322	20	11	326	80	—	—	—	—	—	—
2017	23	MLB	Tampa Bay Rays	—	254	218	45	7	2	5	29	73	4	1	1	206	311	326	636	119	282	29	11	291	82	-5	-0	+2	+1	+6	0.3
2017	23	AAA	Durham Bulls	—	47	43	16	2	0	1	3	7	1	0	1	372	426	488	914	116	429	15	6	409	128	—	—	—	—	—	—
2018	24	MLB	Tampa Bay Rays	—	340	282	74	16	0	9	43	77	13	2	2	262	385	415	800	152	328	23	13	362	132	+13	-0	+3	+1	+7	2.5
2019	25	MLB	Tampa Bay Rays	—	237	207	44	9	1	2	24	59	6	2	2	213	312	295	607	82	288	25	10	285	78	-6	-0	+2	+1	+5	0.2
2019	25	AAA	Durham Bulls	—	123	104	27	1	0	2	16	25	3	1	0	260	374	327	701	67	325	20	13	330	78	—	—	—	—	—	—
2020	26	MLB	San Francisco Giants	—	24	21	7	0	0	0	3	6	0	0	0	333	417	333	750		467	25	12	351	127	+1	+0	+1	+0	+1	0.2
2021	27	MLB	Milwaukee Brewers	—	90	73	12	2	0	2	12	28	3	0	0	164	307	274	581	110	227	31	13	273	66	-4	+0	-3	+1	+2	-0.4
2021	27	AAA	Nashville Sounds	—	88	78	9	3	0	0	10	25	0	0	0	115	216	154	370	38	170	28	11	185	-16	—	—	—	—	—	—
2022	28	AAA	Lehigh Valley IronPigs	—	229	201	42	13	0	6	23	53	4	0	1	209	303	363	666	154	252	23	10	301	40	—	—	—	—	—	—
2022	28	ROK	FCL Phillies	—	34	27	8	3	0	2	6	5	1	0	1	296	441	630	1.071	333	300	15	18	460	95	—	—	—	—	—	—
2023	29	AAA	Gwinnett Stripers	—	211	177	39	6	1	3	24	37	8	0	0	220	340	316	656	96	259	18	11	305	65	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	945	801	182	34	3	18	111	243	26	5	5	227	340	345	685	117	301	26	12	315	99	-1	-1	+5	+4	+20	2.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	AZL Athletics	—	127	107	25	8	2	3	10	22	5	2	0	234	328	430	758	196	236	17	8	321	103	—	—	—	—	—	—
2013	19	A MLE	Beloit Snappers	—	451	413	96	17	1	7	29	111	7	1	7	232	294	329	623	97	299	25	6	276	73	—	—	—	—	—	—
2014	20	A+ MLE	Stockton Ports	—	642	569	157	31	2	13	51	126	16	4	4	276	352	406	758	130	325	20	8	331	110	—	—	—	—	—	—
2015	21	AA MLE	Montgomery Biscuits	—	347	308	77	20	4	3	24	71	11	2	3	250	327	370	697	120	306	20	7	308	95	—	—	—	—	—	—
2016	22	AAA MLE	Durham Bulls	—	511	455	112	18	4	4	39	121	11	2	1	246	321	330	650	84	315	24	8	287	80	—	—	—	—	—	—
2017	23	MLB MLE	Tampa Bay Rays	—	254	218	44	7	2	5	29	73	4	1	1	202	307	321	628	119	282	29	11	290	82	-5	-0	+2	+1	+6	0.3
2017	23	AAA MLE	Durham Bulls	—	47	44	15	2	0	1	2	8	1	0	1	341	383	455	838	114	401	17	4	358	128	—	—	—	—	—	—
2018	24	MLB MLE	Tampa Bay Rays	—	340	282	73	16	0	9	43	77	13	2	2	259	382	411	793	152	328	23	13	363	132	+13	-0	+3	+1	+7	2.5
2019	25	MLB MLE	Tampa Bay Rays	—	237	207	43	9	1	2	24	59	6	2	2	208	308	290	598	82	288	25	10	283	78	-6	-0	+2	+1	+5	0.2
2019	25	AAA MLE	Durham Bulls	—	123	109	26	1	0	2	11	29	3	1	0	239	325	303	628	64	313	24	9	283	78	—	—	—	—	—	—
2020	26	MLB MLE	San Francisco Giants	—	24	21	7	0	0	0	3	6	0	0	0	333	417	333	750		467	25	12	355	127	+1	+0	+1	+0	+1	0.2
2021	27	MLB MLE	Milwaukee Brewers	—	90	74	12	2	0	2	11	28	3	0	0	162	295	270	566	108	227	31	12	265	66	-4	+0	-3	+1	+2	-0.4
2021	27	AAA MLE	Nashville Sounds	—	88	81	7	2	0	0	7	29	0	0	0	86	159	111	270	25	152	33	8	145	-16	—	—	—	—	—	—
2022	28	AAA MLE	Lehigh Valley IronPigs	—	229	209	35	10	0	4	15	65	4	0	1	167	237	273	510	105	220	28	7	228	40	—	—	—	—	—	—
2022	28	ROK MLE	FCL Phillies	—	34	29	6	2	0	2	4	7	1	0	1	207	324	483	806	276	199	21	12	308	95	—	—	—	—	—	—
2023	29	AAA MLE	Gwinnett Stripers	—	211	185	38	6	1	2	16	44	8	0	0	205	297	281	578	76	250	21	8	264	65	—	—	—	—	—	—
2012	18	ROK MLE	AZL Athletics	—	127	107	25	8	2	3	10	22	5	2	0	234	328	430	758	196	256	17	8	321	103	—	—	—	—	—	—
2012	18	ROK RAW	AZL Athletics	—	127	101	30	10	2	4	16	15	5	2	0	297	418	554	972	257	302	12	13	409	103	—	—	—	—	—	—
2013	19	A MLE	Beloit Snappers	—	451	413	96	17	1	7	29	111	7	1	7	232	294	329	623	97	300	25	6	276	73	—	—	—	—	—	—
2013	19	A RAW	Beloit Snappers	—	451	401	111	21	1	9	41	79	7	1	7	277	354	401	756	125	324	18	9	340	73	—	—	—	—	—	—
2014	20	A+ MLE	2 teams	—	730	646	179	35	3	15	58	144	18	4	7	277	353	410	763	133	332	20	8	331	110	—	—	—	—	—	—
2014	20	A+ RAW	2 teams	—	730	621	192	38	3	16	83	114	18	4	7	309	406	457	863	148	353	16	11	384	110	—	—	—	—	—	—
2015	21	AA MLE	2 teams	—	436	390	97	25	5	4	30	90	12	3	3	249	322	369	691	121	310	21	7	308	95	—	—	—	—	—	—
2015	21	AA RAW	2 teams	—	436	378	100	23	5	4	42	70	12	3	3	265	356	384	740	119	312	16	10	334	95	—	—	—	—	—	—
2016	22	AAA MLE	Durham Bulls	—	511	455	112	18	4	4	39	121	11	2	1	246	321	330	650	84	323	24	8	287	80	—	—	—	—	—	—
2016	22	AAA RAW	Durham Bulls	—	511	436	113	21	3	5	58	100	11	2	1	259	360	356	716	96	322	20	11	326	80	—	—	—	—	—	—
2017	23	MLB MLE	2 teams	—	301	262	60	9	2	6	31	81	5	1	2	229	322	347	669	118	305	27	10	301	90	-4	-1	+2	+1	+7	0.5
2017	23	MLB RAW	2 teams	—	301	261	61	9	2	6	32	80	5	1	2	234	329	352	681	119	311	27	11	309	90	-4	-1	+2	+1	+7	0.5
2018	24	MLB MLE	Tampa Bay Rays	—	340	282	73	16	0	9	43	77	13	2	2	259	382	411	793	152	323	23	13	363	132	+13	-0	+3	+1	+7	2.5
2018	24	MLB RAW	Tampa Bay Rays	—	340	282	74	16	0	9	43	77	13	2	2	262	385	415	800	152	328	23	13	362	132	+13	-0	+3	+1	+7	2.5
2019	25	MLB MLE	2 teams	—	360	316	70	10	1	4	35	88	9	3	2	222	317	297	614	76	295	24	10	283	78	-9	-0	+2	+1	+8	0.2
2019	25	MLB RAW	2 teams	—	360	311	71	10	1	4	40	84	9	3	2	228	333	305	639	77	300	23	11	300	78	-9	-0	+2	+1	+8	0.2
2020	26	MLB MLE	San Francisco Giants	—	24	21	7	0	0	0	3	6	0	0	0	333	417	333	750		467	25	12	355	127	+1	+0	+1	+0	+1	0.2
2020	26	MLB RAW	San Francisco Giants	—	24	21	7	0	0	0	3	6	0	0	0	333	417	333	750		467	25	12	351	127	+1	+0	+1	+0	+1	0.2
2021	27	MLB MLE	2 teams	—	178	155	20	4	0	2	18	57	3	0	0	129	233	194	427	65	186	32	10	206	25	-16	+0	-3	+1	+4	-1.5
2021	27	MLB RAW	2 teams	—	178	151	21	5	0	2	22	53	3	0	0	139	261	212	473	73	196	30	12	229	25	-16	+0	-3	+1	+4	-1.5
2022	28	AAA MLE	2 teams	—	263	239	41	12	0	6	18	73	5	0	2	172	244	297	541	126	217	28	7	238	47	—	—	—	—	—	—
2022	28	AAA RAW	2 teams	—	263	228	50	16	0	8	29	58	5	0	2	219	321	395	715	175	258	22	11	322	47	—	—	—	—	—	—
2023	29	AAA MLE	Gwinnett Stripers	—	211	185	38	6	1	2	16	44	8	0	0	205	297	281	578	76	255	21	8	264	65	—	—	—	—	—	—
2023	29	AAA RAW	Gwinnett Stripers	—	211	177	39	6	1	3	24	37	8	0	0	220	340	316	656	96	259	18	11	305	65	—	—	—	—	—	—
2012	18	ROK MLE	AZL Athletics	—	127	111	25	8	2	3	10	22	5	2	0	225	328	414	742	189	236	17	8	321	103	—	—	—	—	—	—
2013	19	A MLE	Beloit Snappers	—	451	412	96	17	1	7	29	111	7	1	7	233	294	330	624	97	299	25	6	276	73	—	—	—	—	—	—
2014	20	A+ MLE	2 teams	—	730	648	179	35	3	15	58	144	18	4	7	276	353	409	762	133	325	20	8	331	110	—	—	—	—	—	—
2015	21	AA MLE	2 teams	—	436	391	97	25	5	4	30	90	12	3	3	248	322	368	690	120	306	21	7	308	95	—	—	—	—	—	—
2016	22	AAA MLE	Durham Bulls	—	511	456	112	18	4	4	39	121	11	2	1	246	321	329	650	83	315	24	8	287	80	—	—	—	—	—	—
2017	23	MLB MLE	2 teams	—	301	262	60	9	2	6	31	81	5	1	2	229	322	347	669	118	300	27	10	301	90	—	—	—	—	—	—
2018	24	MLB MLE	Tampa Bay Rays	—	340	281	73	16	0	9	43	77	13	2	2	260	382	413	794	153	328	23	13	363	132	—	—	—	—	—	—
2019	25	MLB MLE	2 teams	—	360	313	70	10	1	4	35	88	9	3	2	224	317	300	617	77	296	24	10	283	78	—	—	—	—	—	—
2020	26	MLB MLE	San Francisco Giants	—	24	21	7	0	0	0	3	6	0	0	0	333	417	333	750		467	25	12	355	127	—	—	—	—	—	—
2021	27	MLB MLE	2 teams	—	178	155	20	4	0	2	18	57	3	0	0	129	233	194	427	65	190	32	10	206	25	—	—	—	—	—	—
2022	28	AAA MLE	2 teams	—	263	238	41	12	0	6	18	73	5	0	2	172	244	298	543	126	217	28	7	238	47	—	—	—	—	—	—
2023	29	AAA MLE	Gwinnett Stripers	—	211	185	38	6	1	2	16	44	8	0	0	205	297	281	578	76	250	21	8	264	65	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	945	801	182	34	3	18	111	243	26	5	5	227	340	345	685	117	301	26	12	315	87	-1	-1	+5	+4	+20	2.9
/ 162G	—	A+C		—	650	551	124	23	2	12	76	167	18	3	3	225	337	339	677	114	299	26	12	315	87	-1	-1	+3	+3	+14	2.0
Career	—	MLE		—	3932	3471	818	160	19	62	330	914	96	18	26	236	319	346	666	111	300	23	8	297	87	-1	-1	+5	+4	+20	2.9
/ 162G	—	MLE		—	650	574	134	26	3	10	55	151	16	3	4	233	318	341	660	108	297	23	8	297	87	-1	-1	+3	+3	+14	2.0

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.

2023 AAAGwinnett Stripers · 211 PAwOBA .301 → .264 (−37)K% 17.5% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.54%	÷1.005	×1.200	—	—	20.94%
BB% (unintentional) /PA	11.37%	÷0.997	×0.690	—	×0.982	7.73%
HBP% /PA	3.79%	—	×0.940	—	×0.982	3.50%
Singles /BIP	20.71%	÷0.968	×0.930	×1.044	×0.982	20.39%
Doubles /BIP	4.29%	÷0.933	×0.830	×1.044	×0.982	3.91%
Triples /BIP	0.71%	÷0.999	×0.970	×1.044	×0.982	0.71%
Home runs /BIP	2.14%	÷0.984	×0.700	—	×0.982	1.50%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 94, 2B 87, 3B 100, K 101, BB 99 — 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 ×1.044.

Result: wOBA .301 → .264; ISO .096 → .079; BABIP .259 → .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).

2022 AAALehigh Valley IronPigs · 229 PAwOBA .295 → .228 (−67)K% 23.1% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.14%	÷0.970	×1.200	—	—	28.65%
BB% (unintentional) /PA	10.04%	÷1.067	×0.690	—	×0.992	6.44%
HBP% /PA	1.75%	—	×0.940	—	×0.992	1.63%
Singles /BIP	15.54%	÷1.007	×0.930	×1.009	×0.992	14.37%
Doubles /BIP	8.78%	÷1.018	×0.830	×1.009	×0.992	7.17%
Triples /BIP	0.00%	÷0.900	×0.970	×1.009	×0.992	0.00%
Home runs /BIP	4.05%	÷1.039	×0.700	—	×0.992	2.71%

Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 101, 2B 104, 3B 80, K 94, BB 113 — 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 ×1.009.

Result: wOBA .295 → .228; ISO .154 → .110; BABIP .252 → .220. 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 ROKFCL Phillies · 34 PAwOBA .448 → .308 (−141)K% 14.7% → 21.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷1.004	×1.440	—	—	21.09%
BB% (unintentional) /PA	17.65%	÷0.989	×0.620	—	×0.940	10.40%
HBP% /PA	2.94%	—	×0.720	—	×0.940	1.99%
Singles /BIP	13.64%	÷0.981	×0.820	—	×0.940	10.71%
Doubles /BIP	13.64%	÷1.178	×0.720	—	×0.940	7.83%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	9.09%	÷0.947	×0.780	—	×0.940	7.04%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 96, 2B 136, 3B 100, K 101, BB 98 — 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 .448 → .308; ISO .333 → .243; BABIP .300 → .199. 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 AAANashville Sounds · 88 PAwOBA .181 → .145 (−36)K% 28.4% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.41%	÷1.024	×1.200	—	—	33.30%
BB% (unintentional) /PA	11.36%	÷0.946	×0.690	—	×1.003	8.31%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	11.32%	÷0.966	×0.930	×0.979	×1.003	10.70%
Doubles /BIP	5.66%	÷1.030	×0.830	×0.979	×1.003	4.48%
Triples /BIP	0.00%	÷1.150	×0.920	×0.979	×1.003	0.00%
Home runs /BIP	0.00%	÷0.915	×0.700	—	×1.003	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — 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 ×0.979.

Result: wOBA .181 → .145; ISO .038 → .030; BABIP .170 → .152. 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 AAADurham Bulls · 123 PAwOBA .322 → .283 (−39)K% 20.3% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.33%	÷1.020	×1.200	—	—	23.91%
BB% (unintentional) /PA	13.01%	÷0.998	×0.690	—	×1.033	9.29%
HBP% /PA	2.44%	—	×0.940	—	×1.033	2.37%
Singles /BIP	30.38%	÷0.986	×0.930	—	×1.033	29.59%
Doubles /BIP	1.27%	÷1.006	×0.830	—	×1.033	1.08%
Triples /BIP	0.00%	÷1.025	×0.970	—	×1.033	0.00%
Home runs /BIP	2.53%	÷1.128	×0.840	—	×1.033	1.95%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 97, 2B 101, 3B 105, K 104, BB 100 — 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 .322 → .283; ISO .067 → .053; BABIP .325 → .313. 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 AAADurham Bulls · 47 PAwOBA .398 → .358 (−41)K% 14.9% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷1.027	×1.200	—	—	17.40%
BB% (unintentional) /PA	6.38%	÷0.993	×0.690	—	×1.050	4.66%
HBP% /PA	2.13%	—	×0.940	—	×1.050	2.10%
Singles /BIP	36.11%	÷1.025	×0.930	—	×1.050	34.41%
Doubles /BIP	5.56%	÷1.008	×0.830	—	×1.050	4.80%
Triples /BIP	0.00%	÷1.022	×0.970	—	×1.050	0.00%
Home runs /BIP	2.78%	÷1.049	×0.840	—	×1.050	2.34%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 104, K 105, BB 99 — 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).

Result: wOBA .398 → .358; ISO .116 → .098; BABIP .429 → .401. 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 AAADurham Bulls · 511 PAwOBA .321 → .287 (−34)K% 19.6% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.57%	÷0.994	×1.200	—	—	23.63%
BB% (unintentional) /PA	11.35%	÷1.082	×0.690	—	×1.050	7.60%
HBP% /PA	2.15%	—	×0.940	—	×1.050	2.12%
Singles /BIP	25.00%	÷1.010	×0.930	×1.044	×1.050	25.23%
Doubles /BIP	6.25%	÷1.093	×0.830	×1.044	×1.050	5.20%
Triples /BIP	0.89%	÷0.900	×0.970	×1.044	×1.050	1.06%
Home runs /BIP	1.49%	÷1.167	×0.840	—	×1.050	1.12%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 119, 3B 80, K 99, BB 116 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .321 → .287; ISO .096 → .083; BABIP .322 → .315. 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 AAMontgomery Biscuits · 347 PAwOBA .344 → .308 (−36)K% 16.7% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.71%	÷0.990	×1.220	—	—	20.59%
BB% (unintentional) /PA	9.51%	÷0.987	×0.680	—	×1.050	6.88%
HBP% /PA	3.17%	—	×0.840	—	×1.050	2.80%
Singles /BIP	21.99%	÷1.005	×0.920	×0.987	×1.050	20.87%
Doubles /BIP	8.30%	÷0.953	×0.910	×0.987	×1.050	8.21%
Triples /BIP	2.07%	÷1.150	×0.880	×0.987	×1.050	1.65%
Home runs /BIP	1.66%	÷0.983	×0.800	—	×1.050	1.42%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 101, 2B 91, 3B 130, K 98, BB 97 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .344 → .308; ISO .140 → .127; BABIP .324 → .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).