Wehiwa Aloy

SS Frederick Keys

Age 23 R/R 6'2" / 200 lbs A+ HR +9% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP40OGV rank#169ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ABAL	90	.288/.360/.500	2	6	91	—	.244/.303/.439
2026	22	AA/A+BAL	533	.288/.362/.506	25	20	91	—	.240/.292/.413
2027PROJMLE	23	MLBBAL	1	.237/.291/.418	0	0	93	0.0
2028PROJ38% MLB	24	MLBBAL	183	.240/.294/.423	7	4	95	0.5
2029PROJ55% MLB	25	MLBBAL	277	.241/.297/.425	11	5	96	0.9

Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$4M2032Arb-2$6M2033Arb-3$7M

Skills · percentileMiLB Statcast 2026 AA

ISO90

wOBA72

wRC+67

Speed54

BB%34

K%29

Career WAR0.0 WAR median (P10 -0.7 / P90 16, comp-based) · star 2% · didn't stick 80%

CompsJoey Bart (age 23) · Michael Chavis (age 23) · Henry Davis (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†93

AVG/OBP/SLG.237 / .291 / .418

PA1

HR0

K%28

BB%6

BABIP293

ISO175

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$21M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2030	Pre-Arb	$0.8M	+1.0	$6M	+$6M
2031	Arb-1	$4M	+1.0	$6M	+$3M
2032	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2033	Arb-3	$7M	+0.8	$2M	+$0.0M (cut)
Totals		$6M		$22M	+$13M

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)
2025	21	A	Delmarva Shorebirds	—	90	80	23	9	1	2	8	25	1	6	2	287	360	500	860	213	389	28	9	373	91	—	—	—	—	—	—
2026	22	AA	Chesapeake Baysox	—	158	142	37	6	0	10	14	45	1	8	2	261	331	514	845	254	307	28	9	367	94	—	—	—	—	—	—
2026	22	A+	Frederick Keys	—	375	330	99	14	4	15	38	96	2	12	1	300	376	503	879	203	375	26	10	382	90	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Delmarva Shorebirds	—	90	82	20	8	1	2	6	34	1	6	2	244	303	439	742	195	368	38	7	303	91	—	—	—	—	—	—
2026	22	AA MLE	Chesapeake Baysox	—	158	146	34	5	0	8	10	55	1	8	2	233	287	432	718	199	308	35	6	307	94	—	—	—	—	—	—
2026	22	A+ MLE	Frederick Keys	—	375	345	84	11	3	13	23	126	2	12	1	243	295	406	700	162	327	34	6	301	90	—	—	—	—	—	—
2025	21	A MLE	Delmarva Shorebirds	—	90	82	20	8	1	2	6	34	1	6	2	244	303	439	742	195	383	38	7	303	91	—	—	—	—	—	—
2025	21	A RAW	Delmarva Shorebirds	—	90	80	23	9	1	2	8	25	1	6	2	287	360	500	860	213	389	28	9	373	91	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	533	490	118	16	3	21	34	180	3	20	3	241	294	414	708	173	329	34	6	303	91	—	—	—	—	—	—
2026	22	A+ RAW	2 teams	—	533	472	136	20	4	25	52	141	3	20	3	288	362	506	869	218	356	26	10	378	91	—	—	—	—	—	—
2025	21	A MLE	Delmarva Shorebirds	—	90	83	20	8	1	2	6	34	1	6	2	241	303	434	737	193	368	38	7	303	91	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	533	491	118	16	3	21	34	180	3	20	3	240	294	413	708	173	321	34	6	303	91	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Delmarva Shorebirds	—	90	83	20	8	1	2	6	34	1	6	2	241	303	434	737	193	368	38	7	303	91	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	533	491	118	16	3	21	34	180	3	20	3	240	294	413	708	173	321	34	6	303	91	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	BAL	0%	530	488	114	19	3	20	33	148	4	11	2	233	287	407	694	174	288	28	6	305	93	-5	+1	-1	+6	+11	0.7
▸ 2027 — real world (MLB)
2027	23	MLB CTX	BAL	0%	1	1	0	0	0	0	0	0	0	0	0	237	291	418	709	181	293	0	0	311	93	-0	+0	-0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	BAL	38%	483	446	105	18	2	19	31	133	3	10	2	235	290	412	702	176	289	28	6	309	95	-3	+1	-0	+5	+10	1.4
2029	25	MLB MLE	BAL	55%	500	459	108	18	3	19	33	136	4	10	2	236	293	413	706	177	289	27	7	311	96	-2	+1	+0	+5	+11	1.6
2030	26	MLB MLE	BAL	64%	507	464	110	19	3	19	34	136	4	9	2	237	294	413	707	176	289	27	7	311	97	-2	+1	+0	+5	+11	1.6
2031	27	MLB MLE	BAL	66%	506	462	110	19	3	19	35	136	4	9	2	236	294	410	705	174	289	27	7	311	96	-2	+1	+0	+5	+11	1.6
2032	28	MLB MLE	BAL	67%	500	457	107	19	2	18	35	134	4	8	2	235	294	406	700	171	288	27	7	309	95	-3	+1	-0	+5	+11	1.4
2033	29	MLB MLE	BAL	66%	492	452	105	18	2	18	34	133	3	7	2	233	291	400	691	167	287	27	7	305	93	-4	+1	-1	+5	+11	1.1
2034	30	MLB MLE	BAL	65%	481	442	102	18	2	17	33	132	3	6	2	230	288	393	680	163	286	27	7	301	90	-6	+0	-2	+5	+10	0.8
2035	31	MLB MLE	BAL	65%	418	384	87	15	2	14	28	116	3	4	2	226	283	383	667	157	283	28	7	295	86	-7	+0	-3	+4	+9	0.4
2036	32	MLB MLE	BAL	65%	396	365	82	14	2	13	26	112	2	3	4	221	277	371	648	150	279	28	7	288	81	-9	-1	-3	+4	+9	-0.1
2028	24	MLB CTX	BAL	38%	183	168	40	7	1	7	12	50	1	4	1	240	294	423	717	183	294	27	7	315	95	-1	+0	-0	+2	+4	0.5
2029	25	MLB CTX	BAL	55%	277	255	61	11	1	11	18	75	2	5	1	241	297	425	721	184	294	27	6	317	96	-1	+1	+0	+3	+6	0.9
2030	26	MLB CTX	BAL	64%	323	296	72	12	2	13	22	87	2	6	1	241	298	424	722	183	294	27	7	317	97	-1	+1	+0	+3	+7	1.0
2031	27	MLB CTX	BAL	66%	332	304	74	13	2	13	23	89	2	6	1	240	299	421	720	181	294	27	7	317	96	-1	+1	+0	+4	+7	1.0
2032	28	MLB CTX	BAL	67%	334	306	74	13	2	13	23	90	2	5	1	239	298	417	715	177	293	27	7	315	95	-2	+1	-0	+4	+7	0.9
2033	29	MLB CTX	BAL	66%	323	296	70	12	2	12	22	88	2	5	1	237	295	411	706	174	292	27	7	311	93	-3	+1	-1	+3	+7	0.8
2034	30	MLB CTX	BAL	65%	313	287	67	12	1	11	21	86	2	4	1	234	292	403	695	169	290	27	7	307	90	-4	+0	-1	+3	+7	0.6
2035	31	MLB CTX	BAL	65%	271	249	58	10	1	10	18	75	2	3	1	230	287	394	681	163	287	28	7	301	86	-5	+0	-2	+3	+6	0.3
2036	32	MLB CTX	BAL	65%	256	236	53	9	1	9	17	72	1	2	3	225	281	381	662	156	284	28	7	293	81	-6	-1	-2	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2612	2397	569	99	13	99	176	712	16	40	11	237	294	413	707	176	294	27	7	311	92	-24	+4	-6	+28	+57	6.0
/ 162G	—	A+C		—	650	596	142	25	3	25	44	177	4	10	3	238	295	416	711	178	295	27	7	311	92	-6	+1	-1	+7	+14	1.5
Career	—	MLE		—	5116	4697	1099	190	26	187	342	1441	35	96	26	234	291	405	696	171	294	28	7	305	92	-40	+6	-9	+48	+97	10.4
/ 162G	—	MLE		—	650	597	139	24	3	24	43	183	4	12	3	233	289	404	693	171	292	28	7	305	92	-6	+1	-1	+7	+14	1.5

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 A+Frederick Keys · 375 PAwOBA .377 → .301 (−76)K% 25.6% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.60%	÷1.000	×1.310	—	—	33.54%
BB% (unintentional) /PA	10.13%	÷1.000	×0.600	—	×1.012	6.15%
HBP% /PA	0.53%	—	×0.770	—	×1.012	0.42%
Singles /BIP	28.21%	÷1.000	×0.870	×1.018	×1.012	25.27%
Doubles /BIP	5.98%	÷1.000	×0.780	×1.018	×1.012	4.81%
Triples /BIP	1.71%	÷1.000	×0.850	×1.018	×1.012	1.50%
Home runs /BIP	6.41%	÷1.000	×0.880	—	×1.012	5.71%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.018.

Result: wOBA .377 → .301; ISO .203 → .170; BABIP .375 → .327. 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).

2026 AAChesapeake Baysox · 158 PAwOBA .359 → .307 (−52)K% 28.5% → 34.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.48%	÷1.000	×1.220	—	—	34.75%
BB% (unintentional) /PA	8.86%	÷1.000	×0.700	—	×1.042	6.46%
HBP% /PA	0.63%	—	×0.850	—	×1.042	0.56%
Singles /BIP	21.65%	÷1.000	×0.970	×1.041	×1.042	22.79%
Doubles /BIP	6.19%	÷1.000	×0.860	×1.041	×1.042	5.77%
Triples /BIP	0.00%	÷1.000	×0.950	×1.041	×1.042	0.00%
Home runs /BIP	10.31%	÷1.000	×0.780	—	×1.042	8.38%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.041.

Result: wOBA .359 → .307; ISO .254 → .200; BABIP .307 → .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).

2025 ADelmarva Shorebirds · 90 PAwOBA .367 → .303 (−65)K% 27.8% → 38.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.78%	÷0.993	×1.360	—	—	38.04%
BB% (unintentional) /PA	8.89%	÷1.007	×0.690	—	×1.015	6.18%
HBP% /PA	1.11%	—	×0.780	—	×1.015	0.88%
Singles /BIP	20.00%	÷0.998	×0.920	×1.013	×1.015	18.95%
Doubles /BIP	16.36%	÷0.898	×0.830	×1.013	×1.015	15.55%
Triples /BIP	1.82%	÷0.904	×0.910	×1.013	×1.015	1.88%
Home runs /BIP	3.64%	÷0.899	×0.800	—	×1.015	3.28%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 100, 2B 80, 3B 81, K 99, BB 101 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .367 → .303; ISO .212 → .180; BABIP .389 → .368. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	pk7: 16
#2Greg Gagne'83-'97 * career totals — 13 seasons, 6,207 PA	9.3	6,207	111	108	249*	297*	394*	+65	+26	13.2	13.0
/162	664	12	12	+6.9	+2.8	1.4	pk7: 13
#3Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	pk7: 13
#4Alex Gonzalez'94-'06 * career totals — 12 seasons, 5,528 PA	8.3	5,528	137	97	232*	290*	379*	+55	+6	8.3	10.0
/162	664	16	12	+6.6	+0.8	1.0	pk7: 12
#5Kevin Elster'86-'00 * career totals — 9 seasons, 3,225 PA	4.9	3,225	88	14	223*	294*	388*	+34	+9	7.9	8.1
/162	664	18	3	+7.0	+1.9	1.6	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,614	94	40	233	287	402	+28	+0	7.8	7.5
/162	664	24	10	+7.1	+0.1	2.0	pk7: 7
#6Tim Beckhamlast yr '19 career totals — 5 seasons, 1,743 PA	2.6	1,743	63	13	248	301	431	+19	-13	6.1	6.1
/162	664	24	5	+7.1	-4.8	2.3	pk7: 6

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
Wehiwa Aloy (OGILVIE)	23	—	—	—	—	231/284/404	173	288	8	4	28%	6%	93	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Joey Bart 2020 · AA	23	43	53→55	45→40	38	228/270/395	166	287	21	7	29%	5%	84	+0.2	235/289/374	139	337	16	5	33%	6%	86	+0.3	251/343/392	142	332	17	1	27%	10%	112	+1.0
✕Michael Chavis 2019 · AAA	23	44→46	53→60	48→45	38	231/282/403	172	302	21	5	31%	5%	91	+0.7	236/291/417	181	317	24	6	32%	6%	97	+1.1	229/284/411	182	303	26	5	33%	6%	94	+0.5
✕Henry Davis 2023 · AA	23	46→47	49→50	52→50	42	230/312/381	150	296	16	13	27%	6%	98	+1.2	223/306/371	148	287	17	12	27%	8%	93	+0.8	210/295/352	142	268	18	11	27%	8%	83	+0.1
✕Connor Norby 2023 · AAA	23	46→51	52→55	49→50	45	236/302/402	166	297	20	12	27%	7%	98	+1.2	247/306/406	159	329	18	11	29%	7%	100	+1.3	247/320/404	157	334	17	14	30%	8%	104	+1.4
✕Jeter Downs 2021 · AA	23	43→41	51→50	52→55	45	223/290/390	167	279	19	17	27%	8%	91	+0.7	180/256/301	121	262	15	21	35%	8%	59	-1.7	176/270/315	139	246	15	26	33%	9%	66	-0.6
●Nolan Gorman 2023 · MLB	23	43→46	56→60	50→45	40	230/283/410	180	304	26	6	33%	7%	93	+0.8	222/295/430	208	294	30	7	34%	9%	103	+1.5	212/293/423	210	275	30	6	34%	10%	102	+1.1
✕Rodolfo Castro 2023 · MLB	24	42	53→55	47→50	42	221/281/392	171	284	21	10	30%	7%	88	+0.4	212/278/350	138	282	17	9	30%	7%	78	-0.3	198/268/323	125	260	15	12	29%	7%	67	-0.8
●Zack Gelof 2023 · AAA	23	46→53	52→55	52→55	44	230/294/392	162	319	20	13	33%	8%	93	+0.8	234/299/408	174	324	21	23	32%	8%	99	+1.2	228/297/401	173	313	21	27	33%	8%	95	+0.8
✕Max Stassi 2014 · AA	23	44→45	52→55	44→40	40	232/283/398	167	288	20	4	27%	5%	91	+0.6	212/258/336	124	293	14	3	32%	5%	66	-1.1	216/302/377	161	281	21	0	29%	10%	94	+0.4
●Jo Adell 2022 · MLB	23	45→47	54→65	50	37	233/280/414	181	318	22	10	33%	5%	93	+0.8	222/281/419	197	299	25	12	33%	6%	95	+1.0	228/290/425	197	264	28	9	26%	6%	101	+1.3
✕John Mayberry Jr. 2008 · AA	24	36→46	53→55	51→50	42	203/262/373	171	251	22	10	30%	6%	77	-0.3	215/265/375	160	270	19	11	27%	5%	78	-0.3	240/295/408	167	283	19	7	22%	7%	98	+0.8
✕Jonny DeLuca 2022 · A	24	40→37	53→60	56→55	45	215/274/388	172	252	21	15	24%	7%	84	+0.2	225/290/408	183	256	22	16	22%	7%	95	+1.0	223/291/402	179	250	21	19	20%	7%	93	+0.5
✕Logan O'Hoppe 2023 · MLB	23	46→48	53→55	45	50	238/315/406	168	271	22	7	21%	8%	104	+1.6	238/301/417	179	290	25	5	26%	7%	101	+1.4	230/285/405	175	287	26	2	29%	6%	94	+0.6
✕Ezequiel Duran 2022 · A	23	41→51	51→55	50	37	208/267/368	160	305	19	14	37%	6%	78	-0.3	244/288/399	155	319	17	13	28%	5%	92	+0.7	254/295/406	151	322	16	12	25%	5%	95	+0.7
●Hunter Goodman 2023 · AA	23	42→50	54→65	47→40	36	221/272/398	177	306	23	5	35%	5%	86	+0.3	220/273/423	203	275	26	3	30%	6%	93	+0.8	232/286/458	227	274	32	3	28%	6%	107	+1.6
✕Aaron Luna 2010 · AA	23	41→46	50	49→45	46	207/315/368	161	265	17	8	27%	8%	97	+1.1	228/330/374	146	284	16	8	24%	9%	103	+1.6	228/337/371	143	283	17	6	24%	9%	103	+1.0
✕Brandon Wood 2008 · MLB	23	44→48	57→65	52→50	40	232/286/432	200	305	24	11	32%	7%	99	+1.3	219/269/389	170	278	22	7	29%	6%	83	+0.1	207/255/367	161	255	22	5	29%	5%	72	-0.6
✕Agustín Ramírez 2024 · AA	22	44→48	48→55	48→55	47	226/286/366	140	275	16	10	24%	8%	84	+0.1	237/299/402	165	282	19	17	22%	7%	97	+1.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Casper Wells 2009 · AA	24	43→44	55→60	53→50	44	226/299/413	188	272	22	16	26%	7%	100	+1.3	225/292/415	190	290	22	10	30%	7%	98	+1.2	226/296/429	204	279	23	7	27%	7%	101	+0.9
✕Javier Valdes 2023 · AA	24	43	48→55	50→30	46	219/300/358	139	268	17	5	25%	7%	88	+0.5	217/301/360	143	265	16	5	24%	8%	88	+0.5	207/318/364	157	258	17	2	25%	11%	94	+0.4

Wehiwa Aloy

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps