Diego Castillo

SS Round Rock Express

Age 29 R/R 5'11" / 185 lbs AAA HR +15%BB +5% Svc 5.000 · Ctrl thru 2027

Overview

AAAArb-3FA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	26	AAA/INTL2 orgs	546	.263/.369/.393	10	13	82	—	.225/.305/.326
2025	27	AAA/INTL2 orgs	300	.255/.342/.384	8	0	62	—	.207/.271/.303
2026	28	AAA/INTL2 orgs	424	.296/.368/.408	5	8	82	—	.267/.320/.361
2027PROJ10% MLB	29	MLBTEX	24	.248/.311/.375	1	0	93	0.1
2028PROJ33% MLB	30	MLBTEX	89	.245/.308/.368	2	1	90	0.1
2029PROJ46% MLB	31	MLBTEX	117	.241/.303/.358	2	0	86	0.0

Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service5.000First FA2028

2027Arb-3$4M

Skills · percentileStatcast 2022-2024

Barrel%59

xwOBA32

Bat Spd24

Speed23

Avg EV14

CompsGerald Laird (age 29) · Elias Díaz (age 29) · Pedro Severino (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†93

AVG/OBP/SLG.248 / .311 / .375

PA24

HR1

K%17

BB%8

BABIP280

ISO182

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 55 / POW 45

Toolsscout grade · Statcast %ile · 2022-2024

CONTACT55

xAVG

100.217

POWER45

Barrel%

599.6

Avg EV

1486.4

Bat Spd

2468.5

EYE50

scouting grade only

SPEED45

Sprint

2326.2

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Arb-3

MLB Debut 2022

Service 5.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-3	$4M	+0.1	$0.3M	+$0.0M (cut)
Totals		$0.0M		$0.3M	+$0.0M

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)
2015	17	ROK	DSL Yankees 1	—	262	239	79	11	8	0	16	29	2	5	1	331	377	444	821	113	371	11	6	359	49	—	—	—	—	—	—
2016	18	ROK	GCL Yankees West	—	184	165	44	7	0	1	14	21	3	5	3	267	335	327	662	61	297	11	8	302	46	—	—	—	—	—	—
2017	19	A	Charleston RiverDogs	—	510	463	122	15	3	1	31	51	1	9	5	263	311	315	626	52	293	10	6	278	60	—	—	—	—	—	—
2018	20	A+	Tampa Tarpons	—	514	469	122	20	2	2	30	47	3	11	4	260	309	324	633	64	284	9	6	282	64	—	—	—	—	—	—
2019	21	A+	Tampa Tarpons	—	456	416	103	18	2	4	33	49	5	13	3	248	311	329	640	82	272	11	7	291	45	—	—	—	—	—	—
2021	23	AAA	Indianapolis Indians	—	70	54	15	3	0	3	13	13	1	0	0	278	426	500	926	222	300	19	19	401	112	—	—	—	—	—	—
2021	23	AA	Altoona Curve	—	370	334	93	21	0	16	31	43	3	9	5	278	345	485	830	207	279	12	8	364	92	—	—	—	—	—	—
2022	24	MLB	Pittsburgh Pirates	—	283	262	54	13	0	11	14	75	3	1	1	206	254	382	636	176	239	27	5	278	76	-8	-0	-2	+6	+6	0.2
2022	24	AAA	Indianapolis Indians	—	151	134	33	6	0	3	14	33	3	2	1	246	331	358	689	112	306	22	9	315	54	—	—	—	—	—	—
2022	24	INTL	Caribes de Anzoategui	—	90	76	26	4	1	4	12	10	0	0	0	342	432	579	1.011	237	344	11	13	431	178	—	—	—	—	—	—
2023	25	AAA	Reno Aces	—	556	454	142	33	1	3	97	79	0	13	10	313	434	410	843	97	370	14	17	383	102	—	—	—	—	—	—
2024	26	AAA	St. Paul Saints	—	470	398	104	23	2	9	63	70	4	13	4	261	368	397	765	136	293	15	13	344	77	—	—	—	—	—	—
2024	26	INTL	Navegantes del Magallanes	—	76	65	18	3	0	1	10	11	0	0	0	277	373	369	743	92	321	14	13	337	114	—	—	—	—	—	—
2025	27	AAA	Omaha Storm Chasers	—	263	233	61	10	0	7	29	51	0	0	3	262	344	395	738	133	307	19	11	333	59	—	—	—	—	—	—
2025	27	INTL	Navegantes del Magallanes	—	37	30	6	0	0	1	4	5	2	0	1	200	333	300	633	100	200	14	11	294	85	—	—	—	—	—	—
2026	28	AAA	Round Rock Express	—	405	358	109	23	2	5	41	43	1	7	6	304	378	422	799	117	331	11	10	356	87	—	—	—	—	—	—
2026	28	INTL	Cardenales de Lara	—	19	17	2	0	0	0	1	1	0	1	0	118	167	118	284		118	5	5	132	-25	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	283	262	54	13	0	11	14	75	3	1	1	206	254	382	636	176	239	27	5	278	74	-9	-0	-2	+6	+6	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	DSL Yankees 1	—	262	245	54	7	5	0	10	35	2	5	1	220	257	290	547	69	249	13	4	240	49	—	—	—	—	—	—
2016	18	ROK MLE	GCL Yankees West	—	184	170	37	5	0	1	9	30	3	5	3	218	269	265	534	47	251	16	5	236	46	—	—	—	—	—	—
2017	19	A MLE	Charleston RiverDogs	—	510	474	122	13	3	1	20	71	1	9	5	257	289	304	593	46	290	14	4	257	60	—	—	—	—	—	—
2018	20	A+ MLE	Tampa Tarpons	—	514	477	121	23	2	2	22	66	3	11	4	254	291	323	614	69	280	13	4	263	64	—	—	—	—	—	—
2019	21	A+ MLE	Tampa Tarpons	—	456	425	86	17	2	4	24	70	5	13	3	202	253	280	533	78	231	15	5	234	45	—	—	—	—	—	—
2021	23	AAA MLE	Indianapolis Indians	—	70	58	14	3	0	2	9	16	1	0	0	241	353	397	749	155	277	23	13	334	112	—	—	—	—	—	—
2021	23	AA MLE	Altoona Curve	—	370	344	83	19	0	13	21	53	3	9	5	241	291	410	701	169	249	14	6	304	92	—	—	—	—	—	—
2022	24	MLB MLE	Pittsburgh Pirates	—	283	263	54	12	0	12	13	75	3	1	1	205	251	388	639	183	239	27	5	280	76	-8	-0	-2	+6	+6	0.2
2022	24	AAA MLE	Indianapolis Indians	—	151	139	28	5	0	2	9	40	3	2	1	201	265	281	545	79	268	26	6	248	54	—	—	—	—	—	—
2023	25	AAA MLE	Reno Aces	—	556	489	136	28	1	2	62	100	0	13	10	278	359	352	711	74	338	18	11	319	102	—	—	—	—	—	—
2024	26	AAA MLE	St. Paul Saints	—	470	417	94	20	2	6	44	85	4	13	4	225	305	326	632	101	260	18	9	282	77	—	—	—	—	—	—
2025	27	AAA MLE	Omaha Storm Chasers	—	263	241	50	8	0	5	21	61	0	0	3	207	271	303	574	95	254	23	8	255	59	—	—	—	—	—	—
2026	28	AAA MLE	Round Rock Express	—	405	371	99	19	2	4	28	51	1	7	6	267	320	361	681	94	292	13	7	297	87	—	—	—	—	—	—
2015	17	ROK MLE	DSL Yankees 1	—	262	245	54	7	5	0	10	35	2	5	1	220	257	290	547	69	254	13	4	240	49	—	—	—	—	—	—
2015	17	ROK RAW	DSL Yankees 1	—	262	239	79	11	8	0	16	29	2	5	1	331	377	444	821	113	371	11	6	359	49	—	—	—	—	—	—
2016	18	ROK MLE	GCL Yankees West	—	184	170	37	5	0	1	9	30	3	5	3	218	269	265	534	47	255	16	5	236	46	—	—	—	—	—	—
2016	18	ROK RAW	GCL Yankees West	—	184	165	44	7	0	1	14	21	3	5	3	267	335	327	662	61	297	11	8	302	46	—	—	—	—	—	—
2017	19	A MLE	Charleston RiverDogs	—	510	474	122	13	3	1	20	71	1	9	5	257	289	304	593	46	300	14	4	257	60	—	—	—	—	—	—
2017	19	A RAW	Charleston RiverDogs	—	510	463	122	15	3	1	31	51	1	9	5	263	311	315	626	52	293	10	6	278	60	—	—	—	—	—	—
2018	20	A+ MLE	Tampa Tarpons	—	514	477	121	23	2	2	22	66	3	11	4	254	291	323	614	69	289	13	4	263	64	—	—	—	—	—	—
2018	20	A+ RAW	Tampa Tarpons	—	514	469	122	20	2	2	30	47	3	11	4	260	309	324	633	64	284	9	6	282	64	—	—	—	—	—	—
2019	21	A+ MLE	Tampa Tarpons	—	456	425	86	17	2	4	24	70	5	13	3	202	253	280	533	78	233	15	5	234	45	—	—	—	—	—	—
2019	21	A+ RAW	Tampa Tarpons	—	456	416	103	18	2	4	33	49	5	13	3	248	311	329	640	82	272	11	7	291	45	—	—	—	—	—	—
2021	23	AA MLE	2 teams	—	440	403	98	22	0	16	29	69	4	9	5	243	300	417	717	174	255	16	7	309	95	—	—	—	—	—	—
2021	23	AA RAW	2 teams	—	440	388	108	24	0	19	44	56	4	9	5	278	358	487	845	209	282	13	10	370	95	—	—	—	—	—	—
2022	24	MLB MLE	3 teams	—	524	485	99	21	0	17	27	139	6	3	2	204	255	353	607	148	245	27	5	269	68	-20	-0	-2	+6	+11	-0.5
2022	24	MLB RAW	3 teams	—	524	472	113	23	1	18	40	118	6	3	2	239	307	407	714	167	278	23	8	315	68	-20	-0	-2	+6	+11	-0.5
2023	25	AAA MLE	Reno Aces	—	556	489	136	28	1	2	62	100	0	13	10	278	359	352	711	74	343	18	11	319	102	—	—	—	—	—	—
2023	25	AAA RAW	Reno Aces	—	556	454	142	33	1	3	97	79	0	13	10	313	434	410	843	97	370	14	17	383	102	—	—	—	—	—	—
2024	26	AAA MLE	2 teams	—	546	485	109	23	2	7	51	98	4	13	4	225	304	324	627	99	265	18	9	282	77	—	—	—	—	—	—
2024	26	AAA RAW	2 teams	—	546	463	122	26	2	10	73	81	4	13	4	263	369	393	762	130	297	15	13	343	77	—	—	—	—	—	—
2025	27	AAA MLE	2 teams	—	300	272	56	9	0	5	24	69	2	0	4	206	275	294	569	88	255	23	8	255	59	—	—	—	—	—	—
2025	27	AAA RAW	2 teams	—	300	263	67	10	0	8	33	56	2	0	4	255	342	384	726	129	294	19	11	328	59	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	424	388	103	20	2	4	29	54	1	8	6	265	318	358	676	93	296	13	7	297	87	—	—	—	—	—	—
2026	28	AAA RAW	2 teams	—	424	375	111	23	2	5	42	44	1	8	6	296	368	408	776	112	320	10	10	346	87	—	—	—	—	—	—
2015	17	ROK MLE	DSL Yankees 1	—	262	248	54	7	5	0	10	35	2	5	1	218	257	286	543	69	249	13	4	240	49	—	—	—	—	—	—
2016	18	ROK MLE	GCL Yankees West	—	184	170	37	5	0	1	9	30	3	5	3	218	269	265	534	47	251	16	5	236	46	—	—	—	—	—	—
2017	19	A MLE	Charleston RiverDogs	—	510	484	122	13	3	1	20	71	1	9	5	252	289	298	586	45	290	14	4	257	60	—	—	—	—	—	—
2018	20	A+ MLE	Tampa Tarpons	—	514	484	121	23	2	2	22	66	3	11	4	250	291	318	609	68	280	13	4	263	64	—	—	—	—	—	—
2019	21	A+ MLE	Tampa Tarpons	—	456	424	86	17	2	4	24	70	5	13	3	203	253	281	534	78	231	15	5	234	45	—	—	—	—	—	—
2021	23	AA MLE	2 teams	—	440	404	98	22	0	16	29	69	4	9	5	243	300	416	716	173	253	16	7	309	95	—	—	—	—	—	—
2022	24	MLB MLE	3 teams	—	524	486	99	21	0	17	27	139	6	3	2	204	255	352	607	148	249	27	5	269	68	—	—	—	—	—	—
2023	25	AAA MLE	Reno Aces	—	556	489	136	28	1	2	62	100	0	13	10	278	359	352	711	74	338	18	11	319	102	—	—	—	—	—	—
2024	26	AAA MLE	2 teams	—	546	486	109	23	2	7	51	98	4	13	4	224	304	323	627	99	260	18	9	282	77	—	—	—	—	—	—
2025	27	AAA MLE	2 teams	—	300	271	56	9	0	5	24	69	2	0	4	207	275	295	570	89	254	23	8	255	59	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	424	391	103	20	2	4	29	54	1	8	6	263	318	355	674	92	292	13	7	297	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	AAA MLE	2 teams	—	546	486	109	23	2	7	51	98	4	13	4	224	304	323	627	99	260	18	9	282	77	—	—	—	—	—	—
2025	27	AAA MLE	2 teams	—	300	271	56	9	0	5	24	69	2	0	4	207	275	295	570	89	254	23	8	255	59	—	—	—	—	—	—
2026	28	AAA MLE	2 teams	—	424	391	103	20	2	4	29	54	1	8	6	263	318	355	674	92	292	13	7	297	87	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	TEX	10%	380	345	86	16	2	8	30	65	2	5	4	247	311	371	682	124	281	17	8	305	93	-3	-1	+0	+4	+8	0.7
▸ 2027 — real world (MLB)
2027	29	MLB CTX	TEX	10%	24	22	6	1	0	1	2	4	0	0	0	248	311	375	687	128	280	17	8	307	93	-0	+0	+0	+0	+1	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	TEX	33%	272	248	61	12	1	5	21	47	1	3	2	244	307	364	671	120	280	17	8	301	90	-3	-0	-2	+3	+6	0.3
2029	31	MLB MLE	TEX	46%	254	231	56	11	1	5	20	45	1	1	2	240	303	355	657	114	277	18	8	295	86	-4	-1	-3	+3	+6	0.1
2028	30	MLB CTX	TEX	33%	89	82	20	4	0	2	7	15	0	1	1	245	308	368	676	123	279	17	8	302	90	-1	-0	-1	+1	+2	0.1
2029	31	MLB CTX	TEX	46%	117	107	25	5	0	2	9	21	0	0	1	241	303	358	661	117	277	18	8	296	86	-2	-0	-1	+1	+3	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	489	451	99	22	0	15	30	111	3	2	3	220	273	368	641	149	255	23	6	287	74	-12	-1	-4	+8	+11	0.2
/ 162G	—	A+C		—	650	599	131	29	0	20	40	148	4	3	4	219	272	367	639	149	253	23	6	287	74	-16	-1	-5	+10	+14	0.3
Career	—	MLE		—	5480	5008	1191	221	20	74	367	934	34	96	53	238	294	334	629	96	277	17	7	277	74	-18	-1	-7	+14	+23	1.1
/ 162G	—	MLE		—	650	594	141	26	2	9	44	111	4	11	6	237	295	333	628	96	276	17	7	277	74	-11	-1	-4	+9	+14	0.7

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.

2026 AAARound Rock Express · 405 PAwOBA .350 → .297 (−53)K% 10.6% → 12.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.62%	÷1.000	×1.200	—	—	12.74%
BB% (unintentional) /PA	10.12%	÷1.000	×0.690	—	×0.982	6.86%
HBP% /PA	0.25%	—	×0.940	—	×0.982	0.23%
Singles /BIP	25.08%	÷1.000	×0.930	×0.994	×0.982	22.76%
Doubles /BIP	7.30%	÷1.000	×0.830	×0.994	×0.982	5.91%
Triples /BIP	0.63%	÷1.000	×0.970	×0.994	×0.982	0.60%
Home runs /BIP	1.59%	÷1.000	×0.700	—	×0.982	1.09%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.994.

Result: wOBA .350 → .297; ISO .117 → .094; BABIP .331 → .292. 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).

2025 AAAOmaha Storm Chasers · 263 PAwOBA .325 → .255 (−70)K% 19.4% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.39%	÷1.007	×1.200	—	—	23.10%
BB% (unintentional) /PA	11.03%	÷0.935	×0.690	—	×0.992	8.07%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	24.18%	÷1.108	×0.930	×1.010	×0.992	20.32%
Doubles /BIP	5.49%	÷1.006	×0.830	×1.010	×0.992	4.54%
Triples /BIP	0.00%	÷0.900	×0.970	×1.010	×0.992	0.00%
Home runs /BIP	3.85%	÷1.003	×0.700	—	×0.992	2.66%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 122, 2B 101, 3B 80, K 101, BB 87 — 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 ×1.010.

Result: wOBA .325 → .255; ISO .133 → .097; BABIP .307 → .254. 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).

2024 AAASt. Paul Saints · 470 PAwOBA .339 → .282 (−57)K% 14.9% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷0.995	×1.200	—	—	17.96%
BB% (unintentional) /PA	13.40%	÷0.985	×0.690	—	×1.003	9.42%
HBP% /PA	0.85%	—	×0.940	—	×1.003	0.80%
Singles /BIP	21.34%	÷1.010	×0.930	×0.992	×1.003	19.57%
Doubles /BIP	7.01%	÷0.996	×0.830	×0.992	×1.003	5.82%
Triples /BIP	0.61%	÷1.043	×0.970	×0.992	×1.003	0.56%
Home runs /BIP	2.74%	÷1.039	×0.700	—	×1.003	1.85%

Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 102, 2B 99, 3B 109, K 99, BB 97 — 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 ×0.992.

Result: wOBA .339 → .282; ISO .136 → .106; BABIP .293 → .260. 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 AAAReno Aces · 556 PAwOBA .376 → .319 (−57)K% 14.2% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.21%	÷0.951	×1.200	—	—	17.92%
BB% (unintentional) /PA	17.27%	÷1.096	×0.690	—	×1.018	11.06%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	28.00%	÷1.026	×0.930	×1.027	×1.018	26.54%
Doubles /BIP	8.80%	÷1.059	×0.830	×1.027	×1.018	7.21%
Triples /BIP	0.27%	÷1.150	×0.970	×1.027	×1.018	0.24%
Home runs /BIP	0.80%	÷1.012	×0.700	—	×1.018	0.56%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 105, 2B 112, 3B 130, K 90, BB 119 — 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 ×1.027.

Result: wOBA .376 → .319; ISO .097 → .081; BABIP .370 → .338. 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 AAAIndianapolis Indians · 151 PAwOBA .307 → .248 (−60)K% 21.9% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.85%	÷0.982	×1.200	—	—	26.72%
BB% (unintentional) /PA	9.27%	÷1.058	×0.690	—	×1.033	6.25%
HBP% /PA	1.99%	—	×0.940	—	×1.033	1.93%
Singles /BIP	23.76%	÷1.087	×0.930	×0.999	×1.033	20.98%
Doubles /BIP	5.94%	÷0.964	×0.830	×0.999	×1.033	5.28%
Triples /BIP	0.00%	÷0.942	×0.970	×0.999	×1.033	0.00%
Home runs /BIP	2.97%	÷1.013	×0.700	—	×1.033	2.12%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 117, 2B 93, 3B 88, K 96, BB 112 — 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 ×0.999.

Result: wOBA .307 → .248; ISO .112 → .085; BABIP .306 → .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).

2021 AAAltoona Curve · 370 PAwOBA .354 → .304 (−50)K% 11.6% → 14.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.62%	÷0.992	×1.220	—	—	14.29%
BB% (unintentional) /PA	8.11%	÷1.014	×0.690	—	×1.012	5.58%
HBP% /PA	0.81%	—	×0.850	—	×1.012	0.70%
Singles /BIP	19.24%	÷1.042	×0.940	×0.984	×1.012	17.28%
Doubles /BIP	7.22%	÷0.948	×0.870	×0.984	×1.012	6.59%
Triples /BIP	0.00%	÷1.150	×0.920	×0.984	×1.012	0.00%
Home runs /BIP	5.50%	÷0.947	×0.780	—	×1.012	4.58%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 108, 2B 90, 3B 130, K 98, BB 103 — 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 ×0.984.

Result: wOBA .354 → .304; ISO .207 → .179; BABIP .279 → .249. 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 · 70 PAwOBA .402 → .334 (−68)K% 18.6% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.57%	÷0.961	×1.200	—	—	23.19%
BB% (unintentional) /PA	18.57%	÷1.100	×0.690	—	×1.048	12.21%
HBP% /PA	1.43%	—	×0.940	—	×1.048	1.41%
Singles /BIP	21.95%	÷1.011	×0.930	—	×1.048	21.16%
Doubles /BIP	7.32%	÷0.986	×0.830	—	×1.048	6.45%
Triples /BIP	0.00%	÷0.914	×0.920	—	×1.048	0.00%
Home runs /BIP	7.32%	÷1.096	×0.700	—	×1.048	4.90%

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 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .402 → .334; ISO .222 → .173; BABIP .300 → .277. 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+Tampa Tarpons · 456 PAwOBA .285 → .234 (−50)K% 10.7% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.75%	÷0.989	×1.420	—	—	15.43%
BB% (unintentional) /PA	7.24%	÷1.055	×0.750	—	×1.012	5.21%
HBP% /PA	1.10%	—	×0.930	—	×1.012	1.03%
Singles /BIP	21.53%	÷1.072	×0.920	×0.950	×1.012	17.75%
Doubles /BIP	4.90%	÷0.954	×0.960	×0.950	×1.012	4.75%
Triples /BIP	0.54%	÷0.900	×0.810	×0.950	×1.012	0.47%
Home runs /BIP	1.09%	÷0.960	×0.880	—	×1.012	1.01%

Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .285 → .234; ISO .082 → .075; BABIP .272 → .231. 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 — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Chris Woodward'99-'11 * career totals — 9 seasons, 1,896 PA	2.9	1,896	33	9	230*	288*	354*	+9	+15	1.1	2.4
/162	664	12	3	+3.1	+5.4	0.4	pk7: 4
#3Jeff Branson'92-'01 * career totals — 7 seasons, 1,720 PA	2.6	1,720	34	9	236*	291*	373*	+9	-3	0.8	1.8
/162	664	13	3	+3.4	-1.1	0.3	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.8	512	15	3	222	274	372	+5	-2	0.6	0.6
/162	664	20	3	+7.1	-2.1	0.8	pk7: 1
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Enrique Wilson'97-'05 * career totals — 7 seasons, 1,537 PA	2.3	1,537	22	14	233*	276*	337*	+8	+1	-2.5	-1.4
/162	664	10	6	+3.4	+0.4	-1.1	pk7: -0

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Diego Castillo (OGILVIE)	29	55	45	45	50	245/308/368	123	281	5	3	17%	8%	93	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gerald Laird 2009 · MLB	29	50→47	45→50	42→50	46	247/300/376	128	293	12	6	20%	6%	91	+0.6	226/291/334	108	263	9	7	17%	7%	78	-0.3	262/328/360	98	303	6	3	14%	8%	98	+0.3
✕Elias Díaz 2020 · MLB	29	52→59	42→50	44→45	48	253/303/358	105	292	10	3	17%	6%	87	+0.4	238/296/380	142	270	16	3	18%	7%	91	+0.6	236/292/382	147	273	17	0	20%	7%	91	+0.5
✕Pedro Severino 2022 · MLB	29	49	48→50	47→45	48	244/308/380	137	302	16	4	24%	8%	95	+1.0	233/289/363	130	295	14	9	25%	7%	84	+0.1	220/271/337	117	277	13	11	25%	6%	68	-0.4
✕Andrew Knizner 2024 · MLB	29	45	49→50	46→40	47	229/296/370	141	274	17	5	23%	7%	88	+0.5	230/299/355	125	276	13	5	21%	7%	86	+0.3	226/301/342	116	269	12	2	20%	7%	83	+0.0
✕Steve Holm 2009 · MLB	29	47	46→50	43→40	50	234/308/364	130	275	13	5	20%	8%	92	+0.7	209/272/314	105	258	9	4	22%	7%	66	-1.1	184/245/274	89	232	7	1	23%	6%	47	-1.0
✕Kevin Plawecki 2019 · MLB	28	48→58	47→45	43→30	49	239/313/380	142	280	15	3	20%	8%	97	+1.1	247/316/379	132	291	13	5	19%	7%	98	+1.2	238/303/331	93	278	8	0	17%	7%	82	+0.0
✕Andy Green 2006 · MLB	29	52→55	48→50	48→45	51	256/319/412	156	292	13	8	17%	8%	106	+1.8	231/301/361	130	273	12	8	19%	8%	88	+0.4	206/277/308	103	245	10	6	20%	8%	65	-0.6
✕Jamie Westbrook 2024 · AAA	29	48→54	47→50	42→45	50	241/312/371	130	279	15	5	19%	8%	95	+0.9	234/300/356	122	281	12	5	20%	7%	87	+0.4	228/295/342	115	275	10	2	20%	7%	80	-0.1
✕Angel Berroa 2006 · MLB	29	54→56	44→50	49→50	42	264/304/385	121	300	11	11	16%	4%	95	+0.9	241/280/350	109	276	11	6	17%	4%	77	-0.3	244/286/384	140	291	15	5	21%	4%	86	+0.2
✕Luis Juarez 2019 · AAA	29	52→57	44→45	45→40	47	253/295/371	117	273	12	6	13%	5%	87	+0.4	260/315/401	141	278	16	6	13%	7%	102	+1.5	274/331/415	141	287	16	1	11%	7%	112	+1.5
✕Tucker Barnhart 2019 · MLB	28	51→53	44→45	40	53	248/316/371	123	288	11	3	18%	9%	95	+1.0	236/311/372	136	288	15	3	22%	9%	95	+0.9	229/307/361	132	288	15	1	24%	9%	90	+0.3
✕P.J. Higgins 2023 · MLB	30	51→54	46→45	49→40	50	249/324/388	139	320	13	5	25%	9%	103	+1.5	227/282/338	111	299	10	3	26%	7%	75	-0.5	212/261/304	93	278	9	0	26%	5%	57	-1.4
✕Donovan Walton 2023 · MLB	29	47→55	47→50	48→45	48	235/295/383	149	262	13	8	17%	6%	91	+0.7	233/292/345	112	267	11	7	17%	7%	81	-0.1	241/312/357	116	269	13	5	16%	8%	91	+0.5
●Ronnie Belliard 2004 · MLB	29	52→58	44→50	46→45	54	254/319/382	128	284	10	8	15%	8%	99	+1.2	273/328/417	144	303	13	4	14%	7%	110	+2.1	275/327/419	144	302	14	2	14%	7%	111	+2.2
✕Yuniesky Betancourt 2011 · MLB	29	52→60	46→50	41→50	46	255/285/387	132	264	13	4	10%	4%	87	+0.4	242/268/386	144	254	16	4	12%	3%	81	-0.1	233/255/373	141	245	16	2	13%	3%	74	-0.4
✕Jordy Mercer 2014 · MLB	27	52→57	46→50	43→45	45	255/303/393	138	298	13	8	19%	5%	95	+1.0	248/291/366	118	285	11	5	17%	5%	84	+0.2	247/303/379	132	280	13	1	16%	7%	93	+0.7
✕Enrique Osorio 2014 · AAA	29	53→55	44→45	43→50	48	259/312/377	118	289	12	11	16%	6%	95	+1.0	256/299/348	92	287	8	16	13%	5%	83	+0.1	264/306/340	76	293	5	17	12%	5%	82	+0.0
✕Carlos Pérez 2019 · MLB	28	47→49	46→55	47→45	46	237/286/363	126	276	14	6	20%	6%	82	+0.0	211/256/362	151	231	19	4	19%	5%	72	-0.7	207/273/379	172	226	22	0	20%	7%	81	-0.1
✕Said Gutierrez 2009 · AAA	29	52	47→50	44→40	46	257/302/392	135	281	15	5	15%	5%	95	+1.0	242/287/367	125	281	15	4	19%	5%	84	+0.1	234/281/350	117	272	15	2	20%	5%	77	-0.2
✕Rolando Acosta 2012 · AAA	29	52→60	47→50	45	43	258/301/402	144	292	13	9	17%	4%	97	+1.1	254/301/377	123	293	12	9	17%	5%	91	+0.7	261/310/366	105	302	11	8	17%	5%	88	+0.2

Diego Castillo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps