Raynel Delgado

2B Sugar Land Space Cowboys

Age 27 L/R 6'0" / 210 lbs AAA HR -6% Svc 0.163 · Ctrl thru 2032

Overview

AAA40-MANROOKIEPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	24	AAACLE	345	.275/.365/.426	9	22	86	—	.249/.318/.359
2025	25	AAA/INTL2 orgs	548	.282/.366/.374	5	46	89	—	.260/.325/.335
2026	26	AAA/INTL2 orgs	488	.247/.327/.354	5	31	65	—	.223/.283/.316
2026	26	MLBHOU	41	.243/.300/.351	1	0	80	0.2
2027PROJ30% MLB	27	MLBHOU	46	.234/.296/.325	0	2	74	-0.0
2028PROJ42% MLB	28	MLBHOU	119	.233/.295/.325	1	6	74	-0.1
2029PROJ46% MLB	29	MLBHOU	130	.232/.294/.323	1	6	73	-0.1

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

ContractESTIMATED

Control thru2032Service0.163First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$0.2M2031Ext$0.4M2032Ext$0.6M

Skills · percentileMiLB Statcast 2026 AAA

Speed85

K%70

Z-Con%68

Whiff%50

Max EV48

BB%35

Career WAR0.0 WAR median (P10 -0.2 / P90 0.7, comp-based) · star 0% · didn't stick 93%

CompsNook Logan (age 27) · Tyler Wade (age 27) · Magneuris Sierra (age 27)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†74

AVG/OBP/SLG.234 / .296 / .325

PA46

HR0

K%24

BB%7

BABIP304

ISO48

MLB%30%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 55 / POW 35

Toolsscout grade · Statcast %ile · 2026

CONTACT55

xAVG

220.228

POWER35

Barrel%

113.2

Avg EV

1186.1

EYE50

scouting grade only

SPEED60

Sprint

4327.2

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

Status Pre-Arb

MLB Debut 2026

Service 0.163 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.0	$0.1M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Arb-1	$0.2M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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)
2018	18	ROK	AZL Indians 2	—	204	173	53	10	0	1	30	44	0	10	2	306	409	382	790	75	406	22	15	362	67	—	—	—	—	—	—
2019	19	A	Lake County Captains	—	67	64	16	4	0	0	2	13	0	1	0	250	273	312	585	62	308	19	3	260	32	—	—	—	—	—	—
2021	21	A+	Lake County Captains	—	377	336	70	13	1	8	31	108	6	14	7	208	287	324	611	116	278	29	8	277	31	—	—	—	—	—	—
2022	22	AA	Akron RubberDucks	—	248	210	48	7	2	3	30	50	6	11	5	229	341	324	665	95	285	20	12	308	63	—	—	—	—	—	—
2022	22	A+	Lake County Captains	—	143	118	31	5	2	2	16	25	4	5	4	263	370	390	759	127	312	17	11	334	88	—	—	—	—	—	—
2023	23	AAA	Columbus Clippers	—	393	343	87	15	2	7	47	88	1	14	7	254	345	370	716	117	321	22	12	325	79	—	—	—	—	—	—
2023	23	AA	Akron RubberDucks	—	29	27	4	1	0	1	2	9	0	1	0	148	207	296	503	148	176	31	7	227	9	—	—	—	—	—	—
2023	23	INTL	Navegantes del Magallanes	—	21	18	3	0	0	1	3	2	0	0	1	167	286	333	619	167	133	10	14	285	79	—	—	—	—	—	—
2024	24	AAA	Columbus Clippers	—	345	298	82	14	2	9	38	85	4	22	8	275	365	426	791	151	358	25	11	351	86	—	—	—	—	—	—
2025	25	AAA	Nashville Sounds	—	474	413	116	19	3	5	48	95	7	40	8	281	365	378	743	97	351	20	10	335	86	—	—	—	—	—	—
2025	25	INTL	Aguilas Cibaenas	—	74	65	19	4	0	0	8	7	0	6	2	292	370	354	724	62	322	9	11	328	108	—	—	—	—	—	—
2026	26	MLB	Houston Astros	—	41	37	9	1	0	1	3	7	0	0	0	243	300	351	651	108	276	17	7	288	80	-1	+0	+0	+2	+1	0.2
2026	26	AAA	Sugar Land Space Cowboys	—	462	407	100	24	3	5	43	89	6	31	9	246	327	356	683	111	300	19	9	307	65	—	—	—	—	—	—
2026	26	INTL	Aguilas Cibaenas	—	26	22	6	1	0	0	2	3	0	0	1	273	333	318	652	45	300	12	8	277	74	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	41	37	9	1	0	1	3	7	0	0	0	243	300	351	651	108	276	17	7	288	81	-1	+0	+0	+2	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	18	ROK MLE	AZL Indians 2	—	204	184	43	7	0	1	19	63	0	10	2	234	305	288	593	54	349	31	9	267	67	—	—	—	—	—	—
2019	19	A MLE	Lake County Captains	—	67	65	14	3	0	0	1	17	0	1	0	215	227	262	489	46	279	25	1	215	32	—	—	—	—	—	—
2021	21	A+ MLE	Lake County Captains	—	377	346	58	11	1	5	21	142	6	14	7	168	228	249	476	81	256	38	6	214	31	—	—	—	—	—	—
2022	22	AA MLE	Akron RubberDucks	—	248	219	45	7	2	2	21	63	6	11	5	205	293	283	576	78	271	25	8	262	63	—	—	—	—	—	—
2022	22	A+ MLE	Lake County Captains	—	143	122	30	4	2	1	12	31	4	5	4	246	333	336	669	90	299	22	8	298	88	—	—	—	—	—	—
2023	23	AAA MLE	Columbus Clippers	—	393	356	85	13	2	5	34	105	1	14	7	239	307	329	636	90	324	27	9	285	79	—	—	—	—	—	—
2023	23	AA MLE	Akron RubberDucks	—	29	28	4	1	0	1	1	11	0	1	0	143	172	286	458	143	172	38	3	182	9	—	—	—	—	—	—
2024	24	AAA MLE	Columbus Clippers	—	345	309	77	12	2	6	27	109	4	22	8	249	318	359	677	110	357	32	8	296	86	—	—	—	—	—	—
2025	25	AAA MLE	Nashville Sounds	—	474	427	111	17	3	3	34	113	7	40	8	260	325	335	660	75	340	24	7	296	86	—	—	—	—	—	—
2026	26	MLB MLE	Houston Astros	—	41	37	9	1	0	1	3	7	0	0	0	243	300	351	651	108	276	17	7	287	80	-1	+0	+0	+2	+1	0.2
2026	26	AAA MLE	Sugar Land Space Cowboys	—	462	421	94	21	3	4	29	107	6	31	9	223	283	316	599	93	281	23	6	264	65	—	—	—	—	—	—
2018	18	ROK MLE	AZL Indians 2	—	204	184	43	7	0	1	19	63	0	10	2	234	305	288	593	54	350	31	9	267	67	—	—	—	—	—	—
2018	18	ROK RAW	AZL Indians 2	—	204	173	53	10	0	1	30	44	0	10	2	306	409	382	790	75	406	22	15	362	67	—	—	—	—	—	—
2019	19	A MLE	Lake County Captains	—	67	65	14	3	0	0	1	17	0	1	0	215	227	262	489	46	286	25	1	215	32	—	—	—	—	—	—
2019	19	A RAW	Lake County Captains	—	67	64	16	4	0	0	2	13	0	1	0	250	273	312	585	62	308	19	3	260	32	—	—	—	—	—	—
2021	21	A+ MLE	Lake County Captains	—	377	346	58	11	1	5	21	142	6	14	7	168	228	249	476	81	262	38	6	214	31	—	—	—	—	—	—
2021	21	A+ RAW	Lake County Captains	—	377	336	70	13	1	8	31	108	6	14	7	208	287	324	611	116	278	29	8	277	31	—	—	—	—	—	—
2022	22	AA MLE	2 teams	—	391	341	76	11	4	4	33	94	10	16	9	223	310	314	624	91	293	24	8	275	72	—	—	—	—	—	—
2022	22	AA RAW	2 teams	—	391	328	79	12	4	5	46	75	10	16	9	241	352	348	699	107	295	19	12	318	72	—	—	—	—	—	—
2023	23	AAA MLE	3 teams	—	443	403	93	15	2	6	37	122	1	15	8	231	297	323	620	92	315	28	8	278	74	—	—	—	—	—	—
2023	23	AAA RAW	3 teams	—	443	388	94	16	2	9	52	99	1	15	8	242	333	363	697	121	302	22	12	316	74	—	—	—	—	—	—
2024	24	AAA MLE	Columbus Clippers	—	345	309	77	12	2	6	27	109	4	22	8	249	318	359	677	110	366	32	8	296	86	—	—	—	—	—	—
2024	24	AAA RAW	Columbus Clippers	—	345	298	82	14	2	9	38	85	4	22	8	275	365	426	791	151	358	25	11	351	86	—	—	—	—	—	—
2025	25	AAA MLE	2 teams	—	548	495	130	20	4	4	39	130	7	46	10	263	325	343	669	81	345	24	7	296	86	—	—	—	—	—	—
2025	25	AAA RAW	2 teams	—	548	478	135	23	3	5	56	102	7	46	10	282	366	374	740	92	347	19	10	334	86	—	—	—	—	—	—
2026	26	AAA MLE	3 teams	—	529	481	108	23	3	5	33	120	6	31	10	225	283	316	599	91	285	23	6	266	66	—	—	—	—	—	—
2026	26	AAA RAW	3 teams	—	529	466	115	26	3	6	48	99	6	31	10	247	325	354	679	107	298	19	9	304	66	—	—	—	—	—	—
2018	18	ROK MLE	AZL Indians 2	—	204	183	43	7	0	1	19	63	0	10	2	235	305	290	595	55	349	31	9	267	67	—	—	—	—	—	—
2019	19	A MLE	Lake County Captains	—	67	66	14	3	0	0	1	17	0	1	0	212	227	258	485	45	279	25	1	215	32	—	—	—	—	—	—
2021	21	A+ MLE	Lake County Captains	—	377	347	58	11	1	5	21	142	6	14	7	167	228	248	476	81	256	38	6	214	31	—	—	—	—	—	—
2022	22	AA MLE	2 teams	—	391	345	76	11	4	4	33	94	10	16	9	220	310	310	620	90	281	24	8	275	72	—	—	—	—	—	—
2023	23	AAA MLE	3 teams	—	443	402	93	15	2	6	37	122	1	15	8	231	297	323	620	92	314	28	8	278	74	—	—	—	—	—	—
2024	24	AAA MLE	Columbus Clippers	—	345	311	77	12	2	6	27	109	4	22	8	248	318	357	675	109	357	32	8	296	86	—	—	—	—	—	—
2025	25	AAA MLE	2 teams	—	548	497	130	20	4	4	39	130	7	46	10	262	325	342	667	80	340	24	7	296	86	—	—	—	—	—	—
2026	26	AAA MLE	3 teams	—	529	485	108	23	3	5	33	120	6	31	10	223	283	313	596	91	281	23	6	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	24	AAA MLE	Columbus Clippers	—	345	311	77	12	2	6	27	109	4	22	8	248	318	357	675	109	357	32	8	296	86	—	—	—	—	—	—
2025	25	AAA MLE	2 teams	—	548	497	130	20	4	4	39	130	7	46	10	262	325	342	667	80	340	24	7	296	86	—	—	—	—	—	—
2026	26	AAA MLE	3 teams	—	529	485	108	23	3	5	33	120	6	31	10	223	283	313	596	91	281	23	6	266	66	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	27	MLB MLE	HOU	30%	380	346	80	15	2	4	26	91	5	20	6	231	293	320	613	89	299	24	7	278	74	-12	+2	+0	+1	+8	0.1
▸ 2027 — real world (MLB)
2027	27	MLB CTX	HOU	30%	46	42	9	2	0	0	3	11	1	2	1	234	296	325	621	91	304	24	7	281	74	-1	+0	+0	+0	+1	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	28	MLB MLE	HOU	42%	286	261	60	11	2	3	20	69	3	14	4	230	292	320	612	90	298	24	7	277	74	-9	+1	-1	+1	+6	-0.1
2029	29	MLB MLE	HOU	46%	284	259	60	11	2	3	20	69	3	12	4	228	291	318	609	90	296	24	7	276	73	-9	+1	-1	+1	+6	-0.3
2030	30	MLB MLE	HOU	48%	281	257	58	11	1	3	19	69	3	10	3	226	289	315	604	89	294	25	7	274	71	-10	+1	-2	+1	+6	-0.4
2028	28	MLB CTX	HOU	42%	119	109	25	5	1	1	8	29	1	6	2	233	295	325	620	92	302	24	7	281	74	-4	+0	-0	+0	+3	-0.1
2029	29	MLB CTX	HOU	46%	130	119	27	5	1	1	9	31	1	6	2	232	294	323	617	92	301	24	7	279	73	-4	+0	-1	+0	+3	-0.1
2030	30	MLB CTX	HOU	48%	135	124	28	5	1	1	9	33	1	5	1	229	292	320	611	90	299	24	7	277	71	-5	+1	-1	+0	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	425	389	89	16	3	4	29	100	3	17	5	229	287	316	604	87	295	24	7	280	70	-13	+1	-2	+3	+9	-0.1
/ 162G	—	A+C		—	650	595	136	24	5	6	44	153	5	26	8	229	288	316	604	87	295	24	7	280	70	-20	+2	-3	+5	+14	-0.2
Career	—	MLE		—	3910	3542	810	141	22	42	280	1041	45	199	67	229	294	316	610	88	310	27	7	272	70	-33	+4	-4	+5	+23	-0.6
/ 162G	—	MLE		—	650	589	135	23	4	7	47	173	7	33	11	229	294	317	611	88	311	27	7	272	70	-21	+2	-3	+3	+14	-0.4

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.

2026 AAASugar Land Space Cowboys · 462 PAwOBA .301 → .264 (−36)K% 19.3% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.26%	÷1.000	×1.200	—	—	23.12%
BB% (unintentional) /PA	8.87%	÷1.000	×0.690	—	×1.018	6.23%
HBP% /PA	1.30%	—	×0.940	—	×1.018	1.24%
Singles /BIP	21.38%	÷1.000	×0.930	×1.023	×1.018	20.70%
Doubles /BIP	7.55%	÷1.000	×0.830	×1.023	×1.018	6.52%
Triples /BIP	0.94%	÷1.000	×0.970	×1.023	×1.018	0.95%
Home runs /BIP	1.57%	÷1.000	×0.700	—	×1.018	1.12%

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 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 ×1.023.

Result: wOBA .301 → .264; ISO .111 → .093; BABIP .300 → .281. 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 AAANashville Sounds · 474 PAwOBA .328 → .296 (−32)K% 20.0% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.04%	÷1.010	×1.200	—	—	23.80%
BB% (unintentional) /PA	9.92%	÷1.000	×0.690	—	×1.033	7.07%
HBP% /PA	1.48%	—	×0.940	—	×1.033	1.43%
Singles /BIP	27.99%	÷0.983	×0.930	×1.008	×1.033	27.57%
Doubles /BIP	5.97%	÷0.973	×0.830	×1.008	×1.033	5.31%
Triples /BIP	0.94%	÷0.900	×0.970	×1.008	×1.033	1.06%
Home runs /BIP	1.57%	÷1.111	×0.700	—	×1.033	1.02%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 97, 2B 95, 3B 80, K 102, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .328 → .296; ISO .097 → .082; BABIP .351 → .340. 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 AAAColumbus Clippers · 345 PAwOBA .342 → .296 (−46)K% 24.6% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.64%	÷0.939	×1.200	—	—	31.49%
BB% (unintentional) /PA	11.01%	÷1.036	×0.690	—	×1.048	7.69%
HBP% /PA	1.16%	—	×0.940	—	×1.048	1.14%
Singles /BIP	26.76%	÷0.977	×0.930	×1.031	×1.048	27.53%
Doubles /BIP	6.57%	÷0.985	×0.830	×1.031	×1.048	5.99%
Triples /BIP	0.94%	÷0.900	×0.970	×1.031	×1.048	1.09%
Home runs /BIP	4.23%	÷1.060	×0.700	—	×1.048	2.92%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 95, 2B 97, 3B 80, K 88, BB 107 — 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 ×1.031.

Result: wOBA .342 → .296; ISO .151 → .117; BABIP .358 → .357. 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 AAAColumbus Clippers · 393 PAwOBA .317 → .285 (−33)K% 22.4% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.39%	÷1.008	×1.200	—	—	26.66%
BB% (unintentional) /PA	11.96%	÷0.994	×0.690	—	×1.050	8.71%
HBP% /PA	0.25%	—	×0.940	—	×1.050	0.25%
Singles /BIP	24.71%	÷0.963	×0.930	×1.030	×1.050	25.81%
Doubles /BIP	5.88%	÷1.018	×0.830	×1.030	×1.050	5.19%
Triples /BIP	0.78%	÷0.900	×0.970	×1.030	×1.050	0.91%
Home runs /BIP	2.75%	÷1.037	×0.700	—	×1.050	1.95%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 93, 2B 104, 3B 80, K 102, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .317 → .285; ISO .117 → .095; BABIP .321 → .324. 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 AAAkron RubberDucks · 29 PAwOBA .220 → .182 (−39)K% 31.0% → 38.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.03%	÷0.977	×1.220	—	—	38.74%
BB% (unintentional) /PA	6.90%	÷0.988	×0.700	—	×1.027	5.02%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	11.11%	÷0.995	×0.970	—	×1.027	11.12%
Doubles /BIP	5.56%	÷0.933	×0.860	—	×1.027	5.26%
Triples /BIP	0.00%	÷1.053	×0.950	—	×1.027	0.00%
Home runs /BIP	5.56%	÷0.909	×0.780	—	×1.027	4.90%

Factors used: league row EL. Park (home-season share, regressed): HR 82, 1B 99, 2B 87, 3B 111, K 95, BB 98 — 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 .220 → .182; ISO .148 → .121; BABIP .176 → .172. 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 AAAkron RubberDucks · 248 PAwOBA .300 → .262 (−38)K% 20.2% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.16%	÷0.969	×1.220	—	—	25.38%
BB% (unintentional) /PA	11.69%	÷0.995	×0.700	—	×1.042	8.57%
HBP% /PA	2.42%	—	×0.850	—	×1.042	2.14%
Singles /BIP	22.50%	÷1.052	×0.970	×0.990	×1.042	21.41%
Doubles /BIP	4.38%	÷0.926	×0.860	×0.990	×1.042	4.19%
Triples /BIP	1.25%	÷0.980	×0.950	×0.990	×1.042	1.25%
Home runs /BIP	1.88%	÷1.014	×0.780	—	×1.042	1.50%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 110, 2B 85, 3B 96, K 94, BB 99 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .300 → .262; ISO .095 → .085; BABIP .285 → .271. 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 A+Lake County Captains · 143 PAwOBA .331 → .298 (−33)K% 17.5% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.48%	÷1.015	×1.270	—	—	21.87%
BB% (unintentional) /PA	11.19%	÷0.975	×0.710	—	×1.012	8.25%
HBP% /PA	2.80%	—	×0.790	—	×1.012	2.24%
Singles /BIP	23.66%	÷0.983	×0.920	×1.048	×1.012	23.48%
Doubles /BIP	5.38%	÷1.005	×0.810	×1.048	×1.012	4.60%
Triples /BIP	2.15%	÷0.970	×0.850	×1.048	×1.012	2.00%
Home runs /BIP	2.15%	÷1.134	×0.800	—	×1.012	1.53%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 127, 1B 97, 2B 101, 3B 94, K 103, BB 95 — 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 ×1.048.

Result: wOBA .331 → .298; ISO .127 → .108; BABIP .312 → .299. 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 A+Lake County Captains · 377 PAwOBA .271 → .214 (−57)K% 28.6% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.65%	÷1.026	×1.350	—	—	37.69%
BB% (unintentional) /PA	7.96%	÷1.017	×0.710	—	×1.027	5.70%
HBP% /PA	1.59%	—	×0.810	—	×1.027	1.32%
Singles /BIP	21.05%	÷1.041	×0.910	×1.037	×1.027	19.59%
Doubles /BIP	5.70%	÷0.941	×0.830	×1.037	×1.027	5.36%
Triples /BIP	0.44%	÷0.900	×0.820	×1.037	×1.027	0.43%
Home runs /BIP	3.51%	÷1.222	×0.830	—	×1.027	2.45%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 108, 2B 88, 3B 80, K 105, BB 103 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .271 → .214; ISO .116 → .084; BABIP .278 → .256. 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
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Wayne Tolleson'81-'90 * career totals — 9 seasons, 2,613 PA	3.9	2,613	9	108	237*	307*	304*	+16	+5	0.4	1.9
/162	664	2	27	+4.0	+1.2	0.1	pk7: 3
#3Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.6	430	5	19	230	288	319	+2	+2	0.0	0.0
/162	664	7	29	+2.4	+3.1	0.0	pk7: 0
#4Joe McEwing'98-'06 * career totals — 7 seasons, 1,963 PA	3.0	1,963	25	33	240*	289*	341*	-4	+8	-1.1	-0.3
/162	664	8	11	-1.2	+2.9	-0.4	pk7: 0
#5Abraham 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
#6Alexi 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

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
Raynel Delgado (OGILVIE)	27	55	35	60	50	229/291/318	88	299	2	8	24%	7%	74	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nook Logan 2007 · MLB	27	51	37→40	57→60	47	240/290/319	79	299	4	27	21%	7%	72	-0.7	244/290/335	91	323	5	27	24%	6%	77	-0.3	259/297/337	78	350	0	39	25%	5%	80	-0.1
✕Tyler Wade 2022 · MLB	27	50→58	41→45	57→60	49	238/311/341	103	313	8	33	25%	9%	87	+0.4	227/295/313	86	295	7	38	24%	8%	74	-0.5	232/301/293	61	309	4	40	24%	8%	70	-0.4
✕Magneuris Sierra 2023 · MLB	27	50→58	40	61→60	43	239/285/333	94	298	7	30	22%	5%	74	-0.5	226/278/326	100	303	9	23	27%	6%	71	-0.8	203/254/267	64	293	4	26	30%	6%	45	-1.0
✕Eric Reed 2007 · MLB	26	50→52	38→40	56→60	37	238/273/320	82	319	5	28	27%	4%	66	-1.1	227/266/306	79	298	4	28	24%	5%	61	-1.5	224/260/289	65	292	0	37	22%	4%	52	-0.9
✕Ian Miller 2019 · AAA	27	53→59	36→40	61→60	43	248/294/315	67	315	3	34	22%	5%	74	-0.6	228/281/329	101	285	8	28	22%	6%	72	-0.7	222/276/324	102	274	8	30	21%	6%	68	-0.8
✕Craig Gentry 2012 · MLB	28	51→55	39→40	61→60	47	241/305/325	84	289	6	31	18%	6%	81	-0.1	257/325/340	83	311	4	33	17%	7%	91	+0.7	267/336/337	69	324	2	40	17%	7%	94	+0.4
✕Brian Miller 2023 · AAA	27	52→58	40	61→60	44	245/290/344	99	311	6	30	23%	6%	78	-0.3	226/282/322	96	294	6	24	24%	7%	72	-0.7	205/268/270	65	272	3	29	24%	7%	52	-1.1
✕Darin Mastroianni 2013 · MLB	27	52→60	38→40	63→60	49	245/306/332	87	305	5	37	20%	8%	82	-0.0	222/278/299	77	284	5	28	22%	6%	64	-1.3	212/263/277	65	270	4	25	22%	5%	51	-1.4
✕Travis Jankowski 2019 · MLB	28	54→63	38→40	56→65	51	250/324/330	80	325	5	30	23%	9%	89	+0.5	244/316/322	78	314	5	23	22%	9%	84	+0.2	240/336/303	63	300	2	35	18%	12%	87	+0.1
✕Delino DeShields 2020 · MLB	27	49→56	40→45	58→65	52	231/310/323	91	299	7	32	24%	10%	82	+0.0	221/306/306	85	303	6	28	26%	10%	77	-0.3	203/300/264	60	295	3	32	28%	11%	64	-0.7
✕Darren Ford 2013 · MLB	27	48→53	40→45	57→65	41	231/276/326	95	304	7	36	26%	5%	70	-0.9	221/270/302	81	296	7	41	26%	6%	62	-1.4	213/265/287	74	281	7	47	26%	6%	54	-1.2
✕Tony Gwynn Jr. 2011 · MLB	28	51→57	38→40	56→60	55	237/309/315	78	276	5	24	15%	9%	80	-0.2	242/299/328	86	295	4	26	18%	7%	78	-0.3	246/299/321	75	304	2	27	18%	7%	76	-0.2
✕Billy Hamilton 2020 · MLB	29	49→59	38→40	62→70	49	231/293/314	83	301	4	37	23%	8%	73	-0.6	207/262/306	99	291	7	34	29%	7%	60	-1.6	158/208/235	77	253	4	47	37%	6%	22	-1.0
✕Kyle Wren 2018 · AAA	27	53→62	37→40	57→60	49	251/309/328	77	309	4	25	19%	7%	82	+0.0	232/287/321	89	310	6	17	25%	7%	73	-0.6	233/282/308	75	320	4	17	27%	6%	68	-0.5
✕Ben DeLuzio 2023 · MLB	28	47→50	42→45	60	41	224/281/335	111	303	8	29	28%	6%	74	-0.5	210/272/317	107	307	10	20	33%	7%	68	-1.0	148/218/218	71	242	7	18	39%	7%	24	-1.2
✕Jarrod Dyson 2011 · MLB	26	51→57	36→45	63→70	44	240/286/315	74	309	3	40	22%	6%	70	-0.8	248/304/323	75	307	3	50	19%	7%	79	-0.2	254/319/358	104	292	5	53	14%	7%	94	+0.5
✕Jerry Owens 2008 · MLB	27	56→66	37→40	59→65	49	267/316/336	70	313	4	39	16%	6%	86	+0.3	256/307/320	64	306	4	32	16%	7%	80	-0.2	269/317/317	49	318	2	31	15%	6%	81	-0.0
✕Jacob Young 2024 · MLB	25	52→57	38→40	63→60	47	247/306/329	82	304	4	33	20%	6%	82	-0.0	245/305/331	86	299	6	29	19%	7%	82	-0.0	242/306/331	89	291	7	29	18%	7%	83	+0.1
✕Kean Wong 2023 · MLB	28	51→61	37→45	59→55	43	242/290/317	76	322	5	29	26%	6%	73	-0.6	237/299/335	98	313	9	21	25%	8%	81	-0.1	238/314/325	86	303	11	15	23%	9%	80	-0.0
✕Quintin Berry 2012 · AAA	27	49→59	39→40	59→65	47	232/298/312	80	309	6	35	26%	8%	75	-0.5	228/298/304	76	311	4	36	26%	8%	74	-0.6	228/300/294	66	309	3	38	25%	8%	70	-0.6

Raynel Delgado

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps