Wehiwa Aloy — OGILVIE

Wehiwa AloySS Frederick Keys

Age 22 R/R 6'2" / 200 lbs A+ HR +9% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION529 act + 9 ros · stats below = ROS only

showingROS

wRC+†90

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP316

ISO158

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$42M ctrl surplus

Tools · ContractCON 44 / POW 55

Toolsscout grade

CONTACT44

scouting grade only

POWER55

scouting grade only

EYE45

scouting grade only

SPEED48

scouting grade only

DEFENSE51

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.1	$8M	+$7M
2029	Pre-Arb	$0.8M	+1.4	$9M	+$8M
2030	Pre-Arb	$0.9M	+1.5	$9M	+$8M
2031	Arb-1	$5M	+1.5	$8M	+$5M
2032	Arb-2	$8M	+1.3	$7M	+$2M
2033	Arb-3	$11M	+1.2	$6M	+$0.4M
Totals		$27M		$46M	+$31M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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	139	+4	+0	—	—	+2	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Delmarva Shorebirds	—	90	83	19	7	1	2	5	36	1	6	2	229	281	410	691	181	366	40	6	294	85	-2	+0	—	—	+2	0.1
2025	21	A MLE	Delmarva Shorebirds	—	90	83	19	7	1	2	5	36	1	6	2	229	281	410	691	181	370	40	6	294	85	—	—	—	—	—	—
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	85	—	—	—	—	—	—
2025	21	A MLE	Delmarva Shorebirds	—	90	84	19	7	1	2	5	36	1	6	2	226	281	405	686	179	366	40	6	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Delmarva Shorebirds	—	90	84	19	7	1	2	5	36	1	6	2	226	281	405	686	179	366	40	6	294	85	—	—	—	—	—	—
YTD	22	A+ MLE	BAL	—	529	486	115	16	4	18	34	183	3	20	3	237	291	397	688	160	333	35	6	296	86	-9	+3	+0	+6	+11	1.2
▸ 2026 season
YTD	22	A+ RAW	BAL	—	375	330	99	14	4	15	38	96	2	12	1	300	376	503	879	203	375	26	10	382	86	—	—	—	—	—	—
YTD	22	AA RAW	BAL	—	154	139	35	6	0	9	13	45	1	8	2	252	320	489	809	237	302	29	8	353	86	—	—	—	—	—	—
ROS	22	A+ MLE	BAL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		312	33	11	301	90	-0	+0	+0	+0	+0	0.0
TOT	22	A+ MLE	BAL	—	538	494	116	16	4	18	35	186	3	20	3	235	289	393	682	158	331	35	7	296	86	-9	+3	+0	+6	+12	1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	BAL	43%	571	525	124	20	4	19	37	175	4	12	2	236	292	398	690	162	311	31	6	304	92	-6	+2	+0	+6	+12	1.5
2028	24	MLB MLE	BAL	58%	609	559	133	22	4	21	41	181	4	12	2	238	295	404	699	166	311	30	7	310	96	-3	+2	+0	+7	+13	1.9
2029	25	MLB MLE	BAL	65%	618	566	136	22	4	22	43	181	4	12	2	240	299	410	708	170	310	29	7	313	98	-1	+2	+0	+7	+13	2.1
2030	26	MLB MLE	BAL	68%	617	563	136	23	4	22	44	180	5	12	2	242	302	414	716	172	309	29	7	315	99	-1	+2	+0	+7	+13	2.1
2031	27	MLB MLE	BAL	68%	612	558	134	22	4	22	44	178	5	11	2	240	301	412	714	172	309	29	7	315	99	-1	+1	+0	+7	+13	2.1
2032	28	MLB MLE	BAL	68%	605	552	132	22	3	22	44	177	4	11	2	239	300	409	709	170	309	29	7	314	98	-1	+1	-1	+6	+13	2.0
2033	29	MLB MLE	BAL	66%	595	542	128	21	3	21	44	176	4	10	2	236	298	402	701	166	308	30	7	312	97	-2	+1	-1	+6	+13	1.8
2034	30	MLB MLE	BAL	66%	585	533	126	21	3	20	43	174	4	10	2	236	298	400	698	163	307	30	7	309	96	-3	+1	-2	+6	+13	1.5
2035	31	MLB MLE	BAL	65%	575	524	123	20	3	20	42	173	4	9	2	235	296	399	695	164	305	30	7	306	93	-5	+1	-3	+6	+12	1.2
2036	32	MLB MLE	BAL	65%	564	514	118	19	3	19	41	172	4	8	2	230	292	389	681	160	302	30	7	300	89	-7	+1	-3	+6	+12	0.9
2037	33	MLB MLE	BAL	65%	377	345	77	12	2	12	27	117	2	5	1	223	283	374	657	151	298	31	7	293	85	-7	+1	-4	+4	+8	0.2
2038	34	MLB MLE	BAL	60%	333	304	67	10	2	10	24	105	2	4	1	220	282	365	647	145	293	32	7	285	79	-8	+0	-5	+4	+7	-0.2
2027	23	MLB CTX	BAL	43%	248	228	54	9	1	9	16	76	2	5	1	237	293	404	696	167	316	31	6	305	92	-2	+1	+0	+3	+5	0.6
2028	24	MLB CTX	BAL	58%	353	324	79	13	2	13	24	105	2	7	1	244	300	417	717	173	316	30	7	311	96	-2	+1	+0	+4	+8	1.1
2029	25	MLB CTX	BAL	65%	401	367	89	15	2	15	28	117	3	8	1	243	302	417	718	174	315	29	7	314	98	-1	+1	+0	+4	+9	1.4
2030	26	MLB CTX	BAL	68%	420	384	94	16	2	16	30	122	3	8	1	245	305	422	726	177	314	29	7	315	99	-1	+1	+0	+4	+9	1.5
2031	27	MLB CTX	BAL	68%	416	380	93	16	2	16	30	121	3	8	1	245	305	424	729	179	314	29	7	315	99	-0	+1	+0	+4	+9	1.5
2032	28	MLB CTX	BAL	68%	411	375	90	15	2	15	30	120	3	7	1	240	301	411	712	171	314	29	7	314	98	-1	+1	-0	+4	+9	1.3
2033	29	MLB CTX	BAL	66%	395	360	88	15	2	15	29	117	3	7	1	244	306	422	728	178	313	30	7	313	97	-1	+1	-1	+4	+9	1.2
2034	30	MLB CTX	BAL	66%	383	349	84	14	2	14	28	114	3	6	1	241	303	413	715	172	312	30	7	310	96	-2	+1	-1	+4	+8	1.0
2035	31	MLB CTX	BAL	65%	374	341	80	13	2	13	27	112	3	6	1	235	296	399	695	164	310	30	7	306	93	-3	+1	-2	+4	+8	0.8
2036	32	MLB CTX	BAL	65%	365	333	79	13	2	13	27	111	2	5	1	237	298	405	704	168	307	30	7	301	89	-5	+1	-2	+4	+8	0.6
2037	33	MLB CTX	BAL	65%	243	221	50	8	1	8	18	75	2	3	1	226	290	380	671	154	303	31	7	294	85	-4	+0	-3	+3	+5	0.1
2038	34	MLB CTX	BAL	60%	200	183	40	6	1	6	14	63	1	3	0	219	278	361	638	142	297	32	7	285	79	-5	+1	-3	+2	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4209	3845	920	153	21	153	301	1253	30	73	11	239	300	409	709	170	312	30	7	309	94	-27	+10	-11	+45	+91	11.0
/ 162G	—	A+C		—	650	594	143	24	3	24	46	194	5	11	2	241	301	412	713	172	314	30	7	309	94	-4	+2	-2	+7	+14	1.7
Career	—	MLE		—	6760	6176	1454	241	40	232	480	2028	47	122	24	235	296	400	696	165	309	30	7	307	94	-45	+14	-18	+71	+145	17.1
/ 162G	—	MLE		—	650	594	139	23	4	22	46	195	5	12	2	234	295	397	692	163	308	30	7	307	94	-4	+1	-2	+7	+14	1.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#2Bill Halllast yr '11 career totals — 9 seasons, 3,621 PA	5.5	3,621	123	62	249	308	437	+22	+7	15.9	16.6
/162	664	23	11	+4.1	+1.3	2.9	pk7: 17
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#5Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#6Khalil 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.3	4,211	146	74	237	294	402	+44	+5	14.1	12.4
/162	664	23	12	+6.9	+0.8	2.2	pk7: 11

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)	22	41→44	48→55	48	45	231/286/389	157	312	6	5	31%	6%	90	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Agustín Ramírez 2023 · A	21	43→46	45→55	51→55	44	214/275/343	129	286	12	11	29%	7%	74	-0.5	230/293/385	155	277	18	13	23%	8%	91	+0.6	230/293/400	170	266	20	16	22%	7%	92	+0.7
✕Logan O'Hoppe 2022 · AAA	22	43→48	48→55	46→45	43	221/272/355	134	264	16	7	24%	6%	76	-0.4	236/307/409	173	277	23	6	24%	8%	102	+1.5	238/313/422	183	282	26	4	25%	8%	105	+1.1
●Miguel Vargas 2022 · AA	22	50→52	49→55	51→50	45	253/303/401	148	297	17	9	21%	6%	98	+1.2	227/306/381	154	270	16	12	22%	9%	95	+0.9	224/326/406	183	249	21	12	19%	12%	105	+1.6
●Sean Rodríguez 2007 · AA	22	46→49	52→60	48→50	46	235/306/404	170	299	19	12	28%	8%	100	+1.3	229/300/399	170	291	20	10	28%	7%	97	+1.1	234/307/425	191	291	23	12	27%	7%	102	+1.1
✕Aaron Luna 2009 · A	22	42→45	50	51→45	45	210/316/367	157	290	18	7	32%	8%	97	+1.1	216/320/366	150	270	16	7	25%	8%	98	+1.2	214/321/360	146	266	16	7	24%	8%	95	+0.6
✕Rylan Bannon 2018 · A	22	46→44	50	51→50	44	235/298/388	153	288	19	8	25%	7%	94	+0.9	217/287/358	141	284	15	5	28%	8%	82	+0.0	191/289/327	136	253	16	12	29%	11%	75	-0.4
●Zack Gelof 2022 · A	22	48→50	49→55	54→55	43	235/299/383	148	333	16	17	33%	8%	93	+0.8	233/296/404	171	326	21	20	33%	8%	97	+1.1	229/294/405	176	316	22	24	33%	8%	93	+0.7
✕Addison Russell 2015 · AA	21	47→53	50→55	53→50	44	238/298/398	160	301	17	13	26%	7%	95	+1.0	240/306/401	161	301	18	7	25%	8%	99	+1.3	239/310/406	168	295	19	5	25%	8%	97	+0.9
✕Max Stassi 2013 · A	22	42→43	48→55	44→40	40	214/273/349	135	292	16	5	32%	6%	75	-0.5	216/262/352	136	287	16	3	30%	5%	72	-0.7	215/301/376	160	280	21	0	29%	10%	91	+0.3
✕Chase Meidroth 2023 · A	22	49→56	53→40	48→50	50	250/323/425	175	285	20	12	20%	8%	112	+2.2	247/339/344	97	305	9	12	20%	11%	99	+1.2	256/344/352	96	304	9	11	17%	10%	100	+1.3
✕Connor Wong 2018 · A	22	47→56	49→55	46→50	37	232/281/376	144	324	17	7	33%	5%	84	+0.2	209/261/370	161	335	20	8	42%	6%	76	-0.4	243/298/387	144	318	16	10	28%	6%	90	+0.4
✕Connor Norby 2023 · AAA	23	45→49	51→55	49→50	44	231/295/391	160	292	19	12	28%	7%	93	+0.8	239/298/393	154	317	17	11	29%	7%	94	+0.9	239/312/395	156	325	18	14	30%	8%	98	+1.0
●Gordon Beckham 2009 · A	22	47→56	48→50	46→45	45	240/288/377	137	278	16	7	20%	6%	86	+0.3	253/317/399	146	291	14	7	18%	7%	103	+1.5	248/315/384	137	287	13	6	18%	7%	97	+1.0
✕Ezequiel Duran 2022 · A	23	40→50	51→55	50	37	206/265/364	158	302	19	14	37%	6%	76	-0.4	240/284/393	153	314	17	13	28%	5%	89	+0.5	249/290/398	149	316	16	12	26%	5%	89	+0.4
✕Tyler Ogle 2013 · A	22	47→43	49→50	45→30	44	236/297/383	148	295	17	5	26%	7%	92	+0.7	222/308/356	134	269	15	3	22%	10%	90	+0.6	212/302/353	141	254	17	2	23%	10%	84	+0.1
✕Eddys Leonard 2023 · A	22	44→46	48→50	44→50	42	221/289/365	144	293	15	5	29%	6%	85	+0.2	216/274/354	138	278	15	8	27%	5%	76	-0.4	209/263/347	138	261	16	9	26%	5%	69	-0.7
●Ronny Simon 2022 · A	22	40→50	49→50	53→60	43	206/265/356	150	272	16	14	30%	7%	74	-0.6	220/270/357	137	283	15	22	27%	6%	75	-0.5	266/329/370	104	332	7	30	21%	8%	98	+0.9
●Zach Neto 2023 · AA	22	49→48	46→60	49→55	42	243/302/374	131	307	13	12	25%	5%	92	+0.7	246/317/424	178	299	21	19	25%	6%	109	+2.0	246/317/445	199	306	24	25	27%	7%	110	+2.1
✕John Mayberry Jr. 2007 · A	23	42→48	49→55	49→50	43	216/280/366	151	284	17	7	30%	7%	82	-0.0	206/259/371	165	258	20	9	28%	6%	75	-0.5	239/297/403	165	282	19	7	22%	7%	93	+0.6
✕Ryan Lavarnway 2010 · A	22	44→46	53→55	43→30	41	226/285/402	176	308	20	3	32%	7%	92	+0.7	231/296/389	158	293	19	2	27%	7%	93	+0.8	227/294/372	145	279	18	1	25%	7%	87	+0.4

Career Stats + Projections

Career Comps

Career Path Comps