Maui Ahuna — OGILVIE

Maui AhunaSS Richmond Flying Squirrels

Age 24 L/R 6'0" / 196 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION457 act + 9 ros · stats below = ROS only

showingROS

wRC+†61

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

PA9

HR0

K%33

BB%11

BABIP295

ISO92

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Tools · ContractCON 40 / POW 45

Toolsscout grade

CONTACT40

scouting grade only

POWER45

scouting grade only

EYE50

scouting grade only

SPEED55

scouting grade only

DEFENSE60

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2030	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$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. 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)
2024	22	A	San Jose Giants	—	107	89	21	1	0	1	16	28	1	5	0	236	358	281	639	45	328	26	15	303	91	-1	+1	—	—	+2	0.2
2024	22	ROK	ACL Giants	—	42	38	13	3	0	3	2	14	2	3	1	342	405	658	1.063	316	476	33	5	459	197	+5	+0	—	—	+1	0.6
2025	23	A+	Eugene Emeralds	—	52	45	14	7	0	0	7	14	0	1	0	311	404	467	871	156	452	27	13	389	149	+3	+0	—	—	+1	0.4
2025	23	A	San Jose Giants	—	168	143	38	10	2	3	19	42	6	9	2	266	375	427	802	161	357	25	11	362	131	+6	+1	—	—	+4	1.1
2025	23	ROK	ACL Giants	—	54	46	11	5	1	2	5	18	1	2	0	239	327	522	849	283	333	33	9	354	126	+2	+0	—	—	+1	0.3
2025	23	INTL	Scottsdale Scorpions	—	49	43	10	2	0	0	5	18	1	2	0	233	327	279	606	47	400	37	10	286	80	-1	+0	—	—	+1	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A MLE	San Jose Giants	—	107	93	19	1	0	1	12	39	1	5	0	204	302	247	549	43	323	36	11	249	55	-6	+1	—	—	+2	-0.3
2024	22	ROK MLE	ACL Giants	—	42	39	9	2	0	2	1	20	2	3	1	231	286	436	722	205	366	48	2	271	70	-2	+0	—	—	+1	-0.0
2025	23	A+ MLE	Eugene Emeralds	—	52	47	11	5	0	0	5	18	0	1	0	234	308	340	648	106	358	35	10	271	70	-2	+0	—	—	+1	-0.1
2025	23	A MLE	San Jose Giants	—	168	149	31	7	2	2	13	58	6	9	2	208	298	322	620	114	315	35	8	265	65	-7	+1	—	—	+4	-0.2
2025	23	ROK MLE	ACL Giants	—	54	48	7	3	1	1	3	25	1	2	0	146	212	312	524	167	238	46	6	225	38	-4	+0	—	—	+1	-0.2
2024	22	A MLE	2 teams	—	149	132	27	3	0	2	13	60	3	8	1	205	291	273	563	68	352	40	9	255	59	—	—	—	—	—	—
2024	22	A RAW	2 teams	—	149	127	34	4	0	4	18	42	3	8	1	268	372	394	765	126	366	28	12	347	59	—	—	—	—	—	—
2025	23	A MLE	4 teams	—	323	289	58	18	3	4	24	120	8	14	2	201	280	325	606	125	325	37	7	258	61	—	—	—	—	—	—
2025	23	A RAW	4 teams	—	323	277	73	24	3	5	36	92	8	14	2	264	364	426	790	162	376	28	11	353	61	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	149	132	27	3	0	2	13	60	3	8	1	205	291	273	563	68	335	40	9	255	59	—	—	—	—	—	—
2025	23	A MLE	4 teams	—	323	288	58	18	3	4	24	120	8	14	2	201	280	326	607	125	308	37	7	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A MLE	2 teams	—	149	132	27	3	0	2	13	60	3	8	1	205	291	273	563	68	335	40	9	255	59	—	—	—	—	—	—
2025	23	A MLE	4 teams	—	323	288	58	18	3	4	24	120	8	14	2	201	280	326	607	125	308	37	7	258	61	—	—	—	—	—	—
YTD	24	AA MLE	SF	—	457	404	83	16	3	5	37	160	7	31	4	205	283	297	581	92	321	35	8	256	59	-22	+5	+0	+5	+10	-0.3
▸ 2026 season
YTD	24	AA RAW	SF	—	457	388	88	18	3	6	53	131	7	31	4	227	330	335	665	108	322	29	12	301	59	—	—	—	—	—	—
ROS	24	AA MLE	SF	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		301	33	11	258	61	-0	+0	+0	+0	+0	-0.0
TOT	24	AA MLE	SF	—	466	412	84	16	3	5	38	163	7	31	4	204	282	294	576	90	319	35	8	256	59	-22	+5	+0	+5	+10	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SF	23%	342	306	63	13	2	5	28	113	5	12	2	206	283	310	594	105	300	33	8	269	68	-13	+2	+3	+4	+7	0.3
2028	26	MLB MLE	SF	35%	387	347	73	15	2	7	32	124	5	12	2	210	286	326	612	115	300	32	8	277	73	-12	+2	+3	+4	+8	0.5
2029	27	MLB MLE	SF	40%	403	361	76	15	2	8	34	128	5	12	2	211	287	330	617	119	299	32	8	279	75	-12	+2	+3	+4	+9	0.6
2030	28	MLB MLE	SF	44%	412	368	77	15	2	8	35	130	6	11	1	209	289	326	615	117	299	32	8	280	75	-12	+2	+3	+4	+9	0.6
2031	29	MLB MLE	SF	45%	409	366	77	15	2	8	35	130	5	10	1	210	288	328	616	117	298	32	9	278	74	-13	+2	+2	+4	+9	0.4
2032	30	MLB MLE	SF	45%	405	362	75	15	2	7	35	130	5	9	1	207	286	318	604	110	297	32	9	275	72	-13	+1	+1	+4	+9	0.2
2027	25	MLB CTX	SF	23%	79	72	14	3	0	1	6	26	1	3	0	194	266	278	544	83	295	33	8	254	68	-3	+1	+1	+1	+2	0.1
2028	26	MLB CTX	SF	35%	136	122	25	5	1	2	11	44	2	4	1	205	281	311	593	107	294	32	8	261	73	-4	+0	+1	+1	+3	0.2
2029	27	MLB CTX	SF	40%	163	146	30	6	1	3	14	52	2	5	1	205	284	322	606	116	294	32	9	264	75	-5	+1	+1	+2	+4	0.2
2030	28	MLB CTX	SF	44%	181	162	34	7	1	3	15	57	2	5	1	210	285	321	606	111	293	31	8	264	75	-5	+1	+1	+2	+4	0.2
2031	29	MLB CTX	SF	45%	183	163	34	7	1	3	16	58	2	4	1	209	287	319	606	110	292	32	9	262	74	-6	+0	+1	+2	+4	0.2
2032	30	MLB CTX	SF	45%	183	163	34	7	1	3	16	59	2	4	1	209	287	319	606	110	291	32	9	260	72	-6	+0	+0	+2	+4	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	925	828	171	35	5	15	78	296	11	25	5	207	284	315	599	109	299	32	8	261	71	-29	+3	+5	+10	+20	1.0
/ 162G	—	A+C		—	650	582	122	25	4	11	55	208	8	18	4	210	287	323	610	113	302	32	8	261	71	-20	+2	+4	+7	+14	0.7
Career	—	MLE		—	2839	2539	527	109	15	49	237	938	42	88	12	208	286	320	606	113	305	33	8	273	71	-75	+10	+14	+25	+51	2.6
/ 162G	—	MLE		—	650	581	120	25	3	11	54	215	10	20	3	207	285	317	602	110	304	33	8	273	71	-21	+3	+4	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Darwin Barneylast yr '17 career totals — 7 seasons, 2,729 PA	4.1	2,729	29	29	246	294	339	+10	+46	6.5	6.5
/162	664	7	7	+2.5	+11.2	1.6	pk7: 7
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.4	929	17	25	210	284	325	+10	+8	1.0	1.0
/162	664	12	18	+7.1	+5.7	0.7	pk7: 1
#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
Maui Ahuna (OGILVIE)	24	40	45	55	50	195/272/286	91	301	3	14	34%	8%	61	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kameron Misner 2022 · AA	24	42→43	43→50	55	42	201/275/318	118	315	10	19	37%	8%	69	-0.9	199/288/334	135	319	14	23	38%	11%	78	-0.3	189/285/327	138	300	14	26	38%	11%	72	-0.6
✕Oliver Dunn 2022 · AA	24	39→46	44→45	53→55	46	189/273/305	116	294	11	14	37%	10%	65	-1.2	219/303/367	148	341	14	14	36%	10%	91	+0.6	202/286/331	129	310	11	20	35%	9%	73	-0.4
✕Nelson Ward 2017 · AA	24	44→48	40	54→50	43	211/273/307	96	296	7	18	30%	7%	65	-1.2	219/278/299	80	317	5	15	30%	7%	64	-1.3	229/284/279	50	342	2	12	31%	6%	59	-0.8
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Quincy Hamilton 2022 · A	24	46	40→50	51→50	46	220/296/311	91	301	8	15	28%	8%	75	-0.5	221/301/359	138	285	15	14	26%	9%	88	+0.4	208/293/354	146	263	17	14	27%	9%	81	-0.0
✕Jacob Hannemann 2015 · A	24	43	40→45	55→60	39	210/257/306	95	291	7	20	30%	5%	58	-1.7	208/257/313	105	282	8	23	28%	5%	60	-1.6	201/254/309	108	270	8	27	27%	5%	55	-1.5
✕Raynel Delgado 2023 · AA	23	41→51	40	48→60	43	198/267/286	88	277	7	15	30%	7%	59	-1.7	226/290/318	92	312	8	23	28%	7%	74	-0.6	236/299/323	88	323	7	32	27%	7%	75	-0.4
✕Devin Foyle 2021 · A	24	42→39	40→45	48→45	45	200/277/295	94	297	8	12	33%	9%	64	-1.3	211/279/330	119	274	12	8	26%	8%	73	-0.6	202/274/322	119	256	12	6	25%	8%	67	-0.6
✕Shayne Fontana 2021 · A	24	48	40→45	52→55	45	226/293/329	103	298	6	13	25%	7%	78	-0.3	205/288/312	107	296	10	10	31%	9%	72	-0.7	217/300/310	94	291	10	19	27%	8%	75	-0.3
✕Jackson Cluff 2021 · A	24	40→30	42→45	51→60	40	198/263/305	106	283	9	12	32%	6%	61	-1.5	183/253/275	92	279	7	13	35%	7%	51	-2.2	179/271/301	122	264	12	28	34%	10%	62	-0.8
✕Mike Gilmartin 2011 · A	24	41→47	40→45	50→45	40	196/256/294	98	293	6	10	33%	7%	55	-1.9	213/273/321	108	296	9	5	29%	7%	68	-1.0	211/275/316	105	286	10	4	28%	7%	65	-0.9
✕Matthew Acosta 2022 · A	24	45	43→45	53→50	47	217/290/334	118	298	10	9	29%	9%	78	-0.3	205/272/314	109	298	10	13	32%	8%	67	-1.1	179/250/276	97	261	10	16	34%	8%	48	-1.5
✕Michael Siani 2022 · A	23	38→45	39→40	55→60	42	185/255/269	84	272	7	25	33%	8%	50	-2.3	206/277/304	98	273	9	30	26%	8%	65	-1.2	207/279/299	92	270	8	33	25%	8%	63	-1.1
✕Luke Williams 2021 · AA	24	41→44	42→45	52→65	43	204/264/309	106	268	9	20	27%	6%	62	-1.4	227/285/320	93	311	7	28	27%	7%	72	-0.7	222/284/339	116	307	11	42	29%	7%	74	-0.3
✕Slade Heathcott 2015 · AA	24	46	42→45	50	39	219/269/327	109	314	9	15	32%	6%	68	-1.0	229/280/332	103	319	9	10	29%	6%	73	-0.6	217/284/334	117	310	11	11	32%	7%	72	-0.3
✕Jason Christian 2011 · A	24	44	41→40	55	41	214/264/310	96	293	8	17	29%	6%	61	-1.5	210/260/288	78	301	5	12	30%	6%	55	-2.0	207/258/263	56	294	3	11	29%	6%	46	-1.1
✕Caleb Roberts 2023 · AA	23	40→46	42→50	50	42	193/272/298	105	296	9	12	35%	8%	63	-1.3	208/283/336	128	298	11	11	32%	8%	76	-0.4	203/278/333	131	282	12	10	30%	8%	71	-0.6
✕Danny Payne 2011 · A	25	40→42	41→45	55→50	49	193/281/298	105	287	8	19	33%	10%	67	-1.1	201/284/326	125	320	11	14	37%	10%	74	-0.5	180/277/325	145	297	13	11	40%	11%	71	-0.5
✕Lance Zawadzki 2009 · A	24	48→51	41→45	56→50	44	230/287/330	100	309	7	15	27%	7%	75	-0.5	227/278/337	110	298	10	15	26%	6%	73	-0.6	219/269/329	109	285	10	16	26%	6%	64	-1.0
✕Donta' Williams 2023 · A	24	44→33	39→40	56→55	48	204/291/294	90	301	5	21	31%	10%	70	-0.9	186/272/268	82	284	5	20	33%	9%	57	-1.8	164/254/234	71	252	5	20	34%	9%	40	-1.3

Career Stats + Projections

Career Comps

Career Path Comps