David Bote

Pos3B

B/TR/R

Born1993-04-07

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2024

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2022	29	AAACHC	160	.252/.323/.385	3	5	59	—	.218/.272/.320
2022	29	MLBCHC	127	.259/.317/.431	4	1	110	0.4
2023	30	AAACHC	425	.258/.364/.456	14	7	75	—	.206/.286/.347
2024	31	AAACHC	123	.259/.344/.546	7	0	82	—	.205/.270/.393
2024	31	MLBCHC	48	.304/.333/.391	0	0	103	0.2
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR 0.7

Contract

No contract data on file.

Skills · percentileStatcast 2021-2024

Bat Spd74

Avg EV68

Barrel%52

xwOBA42

Speed37

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	19	ROK	AZL Cubs	—	150	125	29	7	3	1	19	32	4	5	2	232	351	360	711	128	301	21	13	323	44	—	—	—	—	—	—
2013	20	A+	Daytona Cubs	—	17	14	2	1	0	0	3	4	0	0	0	143	294	214	508	71	200	24	18	252	21	—	—	—	—	—	—
2013	20	A	Kane County Cougars	—	60	49	7	1	0	1	11	9	0	0	1	143	300	224	524	82	154	15	18	259	23	—	—	—	—	—	—
2014	21	A	Kane County Cougars	—	221	186	39	12	0	1	20	50	12	3	4	210	326	290	616	81	277	23	9	289	39	—	—	—	—	—	—
2015	22	A	South Bend Cubs	—	352	315	79	20	2	6	29	60	7	5	3	251	328	384	712	133	293	17	8	321	53	—	—	—	—	—	—
2016	23	AAA	Iowa Cubs	—	24	22	8	0	0	1	2	5	0	0	0	364	417	500	917	136	438	21	8	409	126	—	—	—	—	—	—
2016	23	AA	Tennessee Smokies	—	27	25	5	0	0	0	2	6	0	0	0	200	259	200	459		263	22	7	219	9	—	—	—	—	—	—
2016	23	A+	Myrtle Beach Pelicans	—	313	276	93	26	3	6	31	41	4	6	1	337	412	518	930	181	378	13	10	408	105	—	—	—	—	—	—
2017	24	AA	Tennessee Smokies	—	536	470	128	30	3	14	49	101	12	5	2	272	355	438	794	166	318	19	9	352	94	—	—	—	—	—	—
2017	24	INTL	Mesa Solar Sox	—	77	69	23	2	0	4	5	14	2	1	0	333	390	536	926	203	373	18	6	406	161	—	—	—	—	—	—
2018	25	MLB	Chicago Cubs	—	210	184	44	9	2	6	19	60	4	3	4	239	324	408	731	168	314	29	9	323	102	+0	-1	+3	+2	+5	0.9
2018	25	AAA	Iowa Cubs	—	263	235	63	10	2	13	26	63	1	3	1	268	344	494	837	226	312	24	10	366	79	—	—	—	—	—	—
2019	26	MLB	Chicago Cubs	—	356	303	78	17	0	11	44	93	7	5	1	257	364	422	787	165	333	26	12	353	120	+9	+1	+1	+1	+8	2.0
2020	27	MLB	Chicago Cubs	—	145	125	25	3	1	7	17	40	2	2	0	200	306	408	714	208	228	28	12	317	102	+0	+0	-3	+1	+3	0.1
2021	28	MLB	Chicago Cubs	—	327	291	58	10	2	8	27	73	5	0	1	199	279	330	609	131	235	22	8	274	71	-11	-0	+1	+1	+7	-0.3
2021	28	AAA	Iowa Cubs	—	19	16	2	1	0	0	3	4	0	0	0	125	263	188	451	62	167	21	16	225	3	—	—	—	—	—	—
2022	29	MLB	Chicago Cubs	—	127	116	30	8	0	4	6	45	4	1	0	259	317	431	748	172	382	35	5	331	110	+2	+0	-1	+1	+3	0.4
2022	29	AAA	Iowa Cubs	—	160	143	36	8	1	3	10	39	5	5	1	252	323	385	707	133	320	24	6	316	59	—	—	—	—	—	—
2023	30	AAA	Iowa Cubs	—	425	360	93	29	0	14	53	96	7	7	1	258	364	456	820	197	311	23	12	362	75	—	—	—	—	—	—
2024	31	MLB	Chicago Cubs	—	48	46	14	4	0	0	2	13	0	0	0	304	333	391	725	87	424	27	4	325	103	+0	+0	+0	+1	+1	0.2
2024	31	AAA	Iowa Cubs	—	123	108	28	8	1	7	12	18	2	0	1	259	344	546	891	287	250	15	10	383	82	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1213	1065	249	51	5	36	115	324	22	11	6	234	321	392	714	159	298	27	9	319	102	+3	-0	+1	+6	+26	3.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	19	ROK MLE	AZL Cubs	—	150	132	23	5	2	1	12	46	4	5	2	174	264	265	529	91	249	31	8	233	44	—	—	—	—	—	—
2013	20	A+ MLE	Daytona Cubs	—	17	15	2	1	0	0	2	5	0	0	0	133	235	200	435	67	183	29	12	199	21	—	—	—	—	—	—
2013	20	A MLE	Kane County Cougars	—	60	53	7	1	0	1	7	12	0	0	1	132	233	208	441	75	140	20	12	202	23	—	—	—	—	—	—
2014	21	A MLE	Kane County Cougars	—	221	193	33	10	0	1	13	71	12	3	4	171	266	238	504	67	252	32	6	226	39	—	—	—	—	—	—
2015	22	A MLE	South Bend Cubs	—	352	324	66	15	2	4	20	83	7	5	3	204	265	299	564	96	256	24	6	246	53	—	—	—	—	—	—
2016	23	AAA MLE	Iowa Cubs	—	24	23	8	0	0	1	1	6	0	0	0	348	375	478	853	130	409	25	4	354	126	—	—	—	—	—	—
2016	23	AA MLE	Tennessee Smokies	—	27	26	4	0	0	0	1	7	0	0	0	154	185	154	339		245	26	4	182	9	—	—	—	—	—	—
2016	23	A+ MLE	Myrtle Beach Pelicans	—	313	288	80	23	2	4	19	60	4	6	1	278	331	413	744	135	336	19	6	323	105	—	—	—	—	—	—
2017	24	AA MLE	Tennessee Smokies	—	536	487	121	29	2	13	33	125	12	5	2	248	312	396	708	148	300	23	6	307	94	—	—	—	—	—	—
2018	25	MLB MLE	Chicago Cubs	—	210	185	44	9	2	6	18	60	4	3	4	238	319	405	724	168	314	29	9	318	102	+0	-1	+3	+2	+5	0.9
2018	25	AAA MLE	Iowa Cubs	—	263	245	53	7	2	11	16	82	1	3	1	216	267	396	663	180	272	31	6	285	79	—	—	—	—	—	—
2019	26	MLB MLE	Chicago Cubs	—	356	307	78	17	0	11	40	93	7	5	1	254	353	417	770	163	333	26	11	346	120	+9	+1	+1	+1	+8	2.0
2020	27	MLB MLE	Chicago Cubs	—	145	125	25	3	1	7	17	40	2	2	0	200	306	408	714	208	228	28	12	319	102	+0	+0	-3	+1	+3	0.1
2021	28	MLB MLE	Chicago Cubs	—	327	291	58	10	2	8	27	73	5	0	1	199	279	330	609	131	235	22	8	273	71	-11	-0	+1	+1	+7	-0.3
2021	28	AAA MLE	Iowa Cubs	—	19	17	2	1	0	0	2	5	0	0	0	118	211	176	387	59	145	26	11	173	3	—	—	—	—	—	—
2022	29	MLB MLE	Chicago Cubs	—	127	116	30	8	0	4	6	45	4	1	0	259	317	431	748	172	382	35	5	331	110	+2	+0	-1	+1	+3	0.4
2022	29	AAA MLE	Iowa Cubs	—	160	147	32	7	1	2	6	47	5	5	1	218	272	320	592	102	287	29	4	256	59	—	—	—	—	—	—
2023	30	AAA MLE	Iowa Cubs	—	425	378	78	23	0	10	35	113	7	7	1	206	286	347	632	140	258	27	8	279	75	—	—	—	—	—	—
2024	31	MLB MLE	Chicago Cubs	—	48	46	14	4	0	0	2	13	0	0	0	304	333	391	725	87	424	27	4	321	103	+0	+0	+0	+1	+1	0.2
2024	31	AAA MLE	Iowa Cubs	—	123	112	23	7	1	4	8	22	2	0	1	205	270	393	663	188	210	18	7	289	82	—	—	—	—	—	—
2012	19	ROK MLE	AZL Cubs	—	150	132	23	5	2	1	12	46	4	5	2	174	264	265	529	91	256	31	8	233	44	—	—	—	—	—	—
2012	19	ROK RAW	AZL Cubs	—	150	125	29	7	3	1	19	32	4	5	2	232	351	360	711	128	301	21	13	323	44	—	—	—	—	—	—
2013	20	A MLE	2 teams	—	77	67	8	2	0	1	10	18	0	0	1	119	234	194	428	75	146	23	13	201	22	—	—	—	—	—	—
2013	20	A RAW	2 teams	—	77	63	9	2	0	1	14	13	0	0	1	143	299	222	521	79	163	17	18	258	22	—	—	—	—	—	—
2014	21	A MLE	Kane County Cougars	—	221	193	33	10	0	1	13	71	12	3	4	171	266	238	504	67	260	32	6	226	39	—	—	—	—	—	—
2014	21	A RAW	Kane County Cougars	—	221	186	39	12	0	1	20	50	12	3	4	210	326	290	616	81	277	23	9	289	39	—	—	—	—	—	—
2015	22	A MLE	South Bend Cubs	—	352	324	66	15	2	4	20	83	7	5	3	204	265	299	564	96	262	24	6	246	53	—	—	—	—	—	—
2015	22	A RAW	South Bend Cubs	—	352	315	79	20	2	6	29	60	7	5	3	251	328	384	712	133	293	17	8	321	53	—	—	—	—	—	—
2016	23	A+ MLE	3 teams	—	364	337	92	23	2	5	21	74	4	6	1	273	323	398	721	125	336	20	6	315	99	—	—	—	—	—	—
2016	23	A+ RAW	3 teams	—	364	323	106	26	3	7	35	52	4	6	1	328	401	492	893	164	374	14	10	394	99	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	613	558	139	33	3	15	37	143	14	6	2	249	312	400	712	151	307	23	6	307	94	—	—	—	—	—	—
2017	24	AA RAW	2 teams	—	613	539	151	32	3	18	54	115	14	6	2	280	360	451	810	171	324	19	9	359	94	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	473	430	96	16	3	17	34	142	5	6	5	223	288	393	681	170	287	30	7	300	89	—	—	—	—	—	—
2018	25	AAA RAW	2 teams	—	473	419	107	19	4	19	45	123	5	6	5	255	335	456	791	200	313	26	10	347	89	—	—	—	—	—	—
2019	26	MLB MLE	Chicago Cubs	—	356	307	78	17	0	11	40	93	7	5	1	254	353	417	770	163	327	26	11	346	120	+9	+1	+1	+1	+8	2.0
2019	26	MLB RAW	Chicago Cubs	—	356	303	78	17	0	11	44	93	7	5	1	257	364	422	787	165	333	26	12	353	120	+9	+1	+1	+1	+8	2.0
2020	27	MLB MLE	Chicago Cubs	—	145	125	25	3	1	7	17	40	2	2	0	200	306	408	714	208	228	28	12	319	102	+0	+0	-3	+1	+3	0.1
2020	27	MLB RAW	Chicago Cubs	—	145	125	25	3	1	7	17	40	2	2	0	200	306	408	714	208	228	28	12	317	102	+0	+0	-3	+1	+3	0.1
2021	28	MLB MLE	2 teams	—	346	308	60	11	2	8	29	78	5	0	1	195	275	321	596	127	231	23	8	268	67	-13	-0	+1	+1	+7	-0.4
2021	28	MLB RAW	2 teams	—	346	307	60	11	2	8	30	77	5	0	1	195	278	322	600	127	231	22	9	271	67	-13	-0	+1	+1	+7	-0.4
2022	29	AAA MLE	2 teams	—	287	263	61	14	1	6	12	92	9	6	1	232	289	361	650	129	327	32	4	289	82	—	—	—	—	—	—
2022	29	AAA RAW	2 teams	—	287	259	66	16	1	7	16	84	9	6	1	255	320	405	726	151	345	29	6	322	82	—	—	—	—	—	—
2023	30	AAA MLE	Iowa Cubs	—	425	378	78	23	0	10	35	113	7	7	1	206	286	347	632	140	263	27	8	279	75	—	—	—	—	—	—
2023	30	AAA RAW	Iowa Cubs	—	425	360	93	29	0	14	53	96	7	7	1	258	364	456	820	197	311	23	12	362	75	—	—	—	—	—	—
2024	31	AAA MLE	2 teams	—	171	158	37	11	1	4	10	35	2	0	1	234	288	392	681	158	275	20	6	298	88	—	—	—	—	—	—
2024	31	AAA RAW	2 teams	—	171	154	42	12	1	7	14	31	2	0	1	273	341	500	841	227	299	18	8	367	88	—	—	—	—	—	—
2012	19	ROK MLE	AZL Cubs	—	150	133	23	5	2	1	12	46	4	5	2	173	264	263	527	90	249	31	8	233	44	—	—	—	—	—	—
2013	20	A MLE	2 teams	—	77	67	8	2	0	1	10	18	0	0	1	119	234	194	428	75	149	23	13	201	22	—	—	—	—	—	—
2014	21	A MLE	Kane County Cougars	—	221	194	33	10	0	1	13	71	12	3	4	170	266	237	503	67	252	32	6	226	39	—	—	—	—	—	—
2015	22	A MLE	South Bend Cubs	—	352	322	66	15	2	4	20	83	7	5	3	205	265	301	566	96	256	24	6	246	53	—	—	—	—	—	—
2016	23	A+ MLE	3 teams	—	364	336	92	23	2	5	21	74	4	6	1	274	323	399	722	125	334	20	6	315	99	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	613	557	139	33	3	15	37	143	14	6	2	250	312	400	712	151	300	23	6	307	94	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	473	431	96	16	3	17	34	142	5	6	5	223	288	392	680	169	291	30	7	300	89	—	—	—	—	—	—
2019	26	MLB MLE	Chicago Cubs	—	356	306	78	17	0	11	40	93	7	5	1	255	353	418	771	163	333	26	11	346	120	—	—	—	—	—	—
2020	27	MLB MLE	Chicago Cubs	—	145	125	25	3	1	7	17	40	2	2	0	200	306	408	714	208	228	28	12	319	102	—	—	—	—	—	—
2021	28	MLB MLE	2 teams	—	346	309	60	11	2	8	29	78	5	0	1	194	275	320	595	126	230	23	8	268	67	—	—	—	—	—	—
2022	29	AAA MLE	2 teams	—	287	264	61	14	1	6	12	92	9	6	1	231	289	360	649	129	329	32	4	289	82	—	—	—	—	—	—
2023	30	AAA MLE	Iowa Cubs	—	425	380	78	23	0	10	35	113	7	7	1	205	286	345	630	139	258	27	8	279	75	—	—	—	—	—	—
2024	31	AAA MLE	2 teams	—	171	157	37	11	1	4	10	35	2	0	1	236	288	395	683	159	270	20	6	298	88	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	31	AAA MLE	2 teams	—	171	157	37	11	1	4	10	35	2	0	1	236	288	395	683	159	270	20	6	298	88	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1213	1065	249	51	5	36	115	324	22	11	6	234	321	392	714	159	298	27	9	319	81	+3	-0	+1	+6	+26	3.7
/ 162G	—	A+C		—	650	571	133	27	3	19	62	174	12	6	3	233	321	391	712	158	298	27	10	319	81	+2	-0	+0	+3	+14	2.0
Career	—	MLE		—	3980	3580	796	183	17	90	290	1028	78	51	23	222	295	358	653	136	284	26	7	288	81	+3	-0	+1	+6	+26	3.7
/ 162G	—	MLE		—	650	585	131	30	3	15	47	168	13	8	4	224	296	362	659	138	286	26	7	288	81	+2	-0	+0	+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.

2024 AAAIowa Cubs · 123 PAwOBA .376 → .289 (−87)K% 14.6% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.63%	÷0.998	×1.200	—	—	17.60%
BB% (unintentional) /PA	9.76%	÷0.949	×0.690	—	×0.962	6.83%
HBP% /PA	1.63%	—	×0.940	—	×0.962	1.47%
Singles /BIP	13.33%	÷0.994	×0.930	×0.989	×0.962	11.87%
Doubles /BIP	8.89%	÷0.962	×0.830	×0.989	×0.962	7.30%
Triples /BIP	1.11%	÷1.000	×0.970	×0.989	×0.962	1.03%
Home runs /BIP	7.78%	÷1.079	×0.700	—	×0.962	4.85%

Factors used: league row International League. Park (home-season share, regressed): HR 116, 1B 99, 2B 92, 3B 100, K 100, BB 90 — 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 ×0.989.

Result: wOBA .376 → .289; ISO .287 → .202; BABIP .250 → .210. 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).

2023 AAAIowa Cubs · 425 PAwOBA .356 → .279 (−77)K% 22.6% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.59%	÷1.019	×1.200	—	—	26.60%
BB% (unintentional) /PA	12.47%	÷1.014	×0.690	—	×0.972	8.25%
HBP% /PA	1.65%	—	×0.940	—	×0.972	1.50%
Singles /BIP	18.94%	÷1.025	×0.930	×1.002	×0.972	16.74%
Doubles /BIP	10.98%	÷1.049	×0.830	×1.002	×0.972	8.46%
Triples /BIP	0.00%	÷0.916	×0.970	×1.002	×0.972	0.00%
Home runs /BIP	5.30%	÷0.965	×0.700	—	×0.972	3.74%

Factors used: league row International League. Park (home-season share, regressed): HR 93, 1B 105, 2B 110, 3B 83, K 104, BB 103 — 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 ×1.002.

Result: wOBA .356 → .279; ISO .197 → .148; BABIP .311 → .258. 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 AAAIowa Cubs · 160 PAwOBA .311 → .256 (−55)K% 24.4% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.38%	÷0.988	×1.200	—	—	29.60%
BB% (unintentional) /PA	6.25%	÷1.048	×0.690	—	×0.982	4.04%
HBP% /PA	3.12%	—	×0.940	—	×0.982	2.88%
Singles /BIP	23.08%	÷0.985	×0.930	×0.999	×0.982	21.37%
Doubles /BIP	7.69%	÷0.967	×0.830	×0.999	×0.982	6.48%
Triples /BIP	0.96%	÷1.118	×0.970	×0.999	×0.982	0.82%
Home runs /BIP	2.88%	÷0.996	×0.700	—	×0.982	1.99%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — 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 ×0.999.

Result: wOBA .311 → .256; ISO .133 → .100; BABIP .320 → .287. 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 AAAIowa Cubs · 19 PAwOBA .221 → .173 (−48)K% 21.1% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.032	×1.200	—	—	24.48%
BB% (unintentional) /PA	15.79%	÷1.023	×0.690	—	×0.992	10.57%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	8.33%	÷1.039	×0.930	—	×0.992	7.40%
Doubles /BIP	8.33%	÷0.963	×0.830	—	×0.992	7.13%
Triples /BIP	0.00%	÷0.988	×0.920	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.081	×0.700	—	×0.992	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — 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 .221 → .173; ISO .062 → .055; BABIP .167 → .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).

2018 AAAIowa Cubs · 263 PAwOBA .355 → .285 (−70)K% 24.0% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.95%	÷0.993	×1.290	—	—	31.12%
BB% (unintentional) /PA	9.13%	÷1.116	×0.710	—	×1.033	6.00%
HBP% /PA	0.38%	—	×0.980	—	×1.033	0.38%
Singles /BIP	22.09%	÷1.033	×0.900	×1.011	×1.033	20.10%
Doubles /BIP	5.81%	÷1.091	×0.810	×1.011	×1.033	4.51%
Triples /BIP	1.16%	÷1.024	×0.810	×1.011	×1.033	0.96%
Home runs /BIP	7.56%	÷0.919	×0.780	—	×1.033	6.63%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 107, 2B 118, 3B 105, K 99, BB 123 — 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 ×1.011.

Result: wOBA .355 → .285; ISO .226 → .184; BABIP .312 → .272. 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 AATennessee Smokies · 536 PAwOBA .344 → .307 (−37)K% 18.8% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.84%	÷0.981	×1.220	—	—	23.43%
BB% (unintentional) /PA	8.58%	÷0.976	×0.680	—	×1.012	6.05%
HBP% /PA	2.24%	—	×0.840	—	×1.012	1.90%
Singles /BIP	21.95%	÷1.016	×0.920	×1.037	×1.012	20.86%
Doubles /BIP	8.13%	÷1.000	×0.910	×1.037	×1.012	7.76%
Triples /BIP	0.81%	÷1.150	×0.880	×1.037	×1.012	0.65%
Home runs /BIP	3.79%	÷0.882	×0.800	—	×1.012	3.48%

Factors used: league row SL. Park (home-season share, regressed): HR 76, 1B 103, 2B 100, 3B 130, K 96, BB 95 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .344 → .307; ISO .166 → .153; BABIP .318 → .300. 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 A+Myrtle Beach Pelicans · 313 PAwOBA .399 → .323 (−76)K% 13.1% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.10%	÷0.965	×1.420	—	—	19.28%
BB% (unintentional) /PA	9.90%	÷1.043	×0.630	—	×0.998	5.97%
HBP% /PA	1.28%	—	×0.860	—	×0.998	1.10%
Singles /BIP	24.68%	÷1.044	×0.940	×1.002	×0.998	22.21%
Doubles /BIP	11.06%	÷0.920	×0.830	×1.002	×0.998	9.98%
Triples /BIP	1.28%	÷1.038	×0.800	×1.002	×0.998	0.98%
Home runs /BIP	2.55%	÷1.311	×0.900	—	×0.998	1.75%

Factors used: league row CAR. Park (home-season share, regressed): HR 162, 1B 109, 2B 84, 3B 108, K 93, BB 109 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .399 → .323; ISO .181 → .144; BABIP .378 → .336. 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 AATennessee Smokies · 27 PAwOBA .214 → .182 (−32)K% 22.2% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.992	×1.220	—	—	27.34%
BB% (unintentional) /PA	7.41%	÷0.982	×0.680	—	×1.027	5.27%
HBP% /PA	0.00%	—	×0.840	—	×1.027	0.00%
Singles /BIP	26.32%	÷1.013	×0.920	—	×1.027	24.54%
Doubles /BIP	0.00%	÷0.918	×0.910	—	×1.027	0.00%
Triples /BIP	0.00%	÷0.900	×0.880	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.059	×0.800	—	×1.027	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 112, 1B 103, 2B 84, 3B 80, K 98, BB 96 — 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).

Result: wOBA .214 → .182; ISO .000 → .000; BABIP .263 → .245. 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 — .