Ace Reese

3B Inland Empire 66ers

Age 22 L/R A K +7%HR -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#926ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	21	ASEA	100	.440/.558/.667	3	2	202	—	.407/.495/.605
2027PROJMLE	22	MLBSEA	210	.232/.309/.369	5	3	92	0.1
2028PROJ34% MLB	23	MLBSEA	41	.232/.309/.370	1	1	94	0.1
2029PROJ46% MLB	24	MLBSEA	88	.234/.311/.376	2	1	96	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

wOBA99

wRC+99

K%96

BB%93

ISO89

Whiff%78

Career WAR0.6 WAR median (P10 -0.0 / P90 10, comp-based) · star 2% · didn't stick 58%

CompsMatthew Sweeney (age 22) · Graham Pauley (age 22) · Jason Martin (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 64 proj PA

wRC+†92

AVG/OBP/SLG.230 / .306 / .365

PA64

HR2

K%24

BB%9

ISO136

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Arb-1	$0.6M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$5M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.8M

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)
2026	21	A	Inland Empire 66ers	—	100	75	33	8	0	3	19	12	1	2	0	440	558	667	1.225	227	462	12	19	504	202	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Inland Empire 66ers	—	100	81	33	7	0	3	13	16	1	2	0	407	495	605	1.100	198	419	16	13	467	202	—	—	—	—	—	—
2026	21	A MLE	Inland Empire 66ers	—	100	81	33	7	0	3	13	16	1	2	0	407	495	605	1.100	198	448	16	13	467	202	—	—	—	—	—	—
2026	21	A RAW	Inland Empire 66ers	—	100	75	33	8	0	3	19	12	1	2	0	440	558	667	1.225	227	462	12	19	504	202	—	—	—	—	—	—
2026	21	A MLE	Inland Empire 66ers	—	100	86	33	7	0	3	13	16	1	2	0	384	495	570	1.065	186	419	16	13	467	202	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Inland Empire 66ers	—	100	86	33	7	0	3	13	16	1	2	0	384	495	570	1.065	186	419	16	13	467	202	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	SEA	0%	210	187	43	8	1	5	19	51	2	3	1	232	309	369	677	136	289	24	9	304	92	-2	+0	-1	+1	+5	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	SEA	34%	118	105	25	5	1	3	11	28	1	2	0	235	311	375	686	141	290	24	9	307	94	-1	+0	-1	+0	+3	0.2
2029	24	MLB MLE	SEA	46%	191	170	41	8	1	5	17	46	2	3	1	237	313	381	694	145	291	24	9	310	96	-1	+0	-1	+1	+4	0.3
2030	25	MLB MLE	SEA	52%	255	228	54	10	1	7	23	61	2	3	1	238	314	385	699	147	291	24	9	312	97	-1	+0	-1	+1	+6	0.5
2031	26	MLB MLE	SEA	54%	307	273	65	12	1	9	28	73	3	4	1	238	314	388	702	150	291	24	9	313	98	-1	+0	-1	+1	+7	0.7
2032	27	MLB MLE	SEA	54%	332	296	69	13	1	9	30	79	3	4	1	237	313	386	699	149	290	24	9	312	98	-1	+0	-1	+1	+7	0.7
2033	28	MLB MLE	SEA	54%	345	308	72	14	1	9	31	83	3	4	1	235	311	381	692	146	289	24	9	310	96	-2	+0	-2	+1	+7	0.6
2034	29	MLB MLE	SEA	53%	342	305	70	13	1	9	31	83	3	4	1	233	308	374	683	142	287	24	9	306	93	-3	+0	-2	+1	+7	0.4
2035	30	MLB MLE	SEA	57%	336	300	69	13	1	9	30	83	3	3	2	229	304	366	670	137	285	25	9	301	90	-4	-0	-3	+1	+7	0.1
2036	31	MLB MLE	SEA	59%	321	288	65	12	1	8	28	81	2	3	3	225	299	356	655	131	282	25	9	294	85	-6	-1	-4	+1	+7	-0.2
2028	23	MLB CTX	SEA	34%	41	37	9	2	0	1	4	10	0	1	0	232	309	370	679	138	287	24	10	304	94	-0	+0	-0	+0	+1	0.1
2029	24	MLB CTX	SEA	46%	88	79	17	3	0	2	8	21	1	1	0	234	311	376	686	141	288	24	9	307	96	-0	+0	-0	+0	+2	0.2
2030	25	MLB CTX	SEA	52%	132	118	28	5	1	4	12	32	1	2	0	235	311	379	691	144	288	24	9	309	97	-0	+0	-0	+0	+3	0.3
2031	26	MLB CTX	SEA	54%	166	149	36	7	1	5	15	40	1	2	1	236	312	382	694	146	288	24	9	310	98	-0	+0	-1	+1	+4	0.3
2032	27	MLB CTX	SEA	54%	180	160	38	7	1	5	16	43	2	2	1	235	311	380	692	145	287	24	9	309	98	-1	+0	-1	+1	+4	0.4
2033	28	MLB CTX	SEA	54%	187	166	39	7	1	5	17	45	2	2	1	233	309	375	685	142	286	24	9	306	96	-1	+0	-1	+1	+4	0.3
2034	29	MLB CTX	SEA	53%	182	163	38	7	1	5	16	44	1	2	1	230	306	369	675	138	285	24	9	303	93	-2	+0	-1	+1	+4	0.2
2035	30	MLB CTX	SEA	57%	191	170	39	7	1	5	17	47	2	2	1	227	302	361	663	134	283	25	9	298	90	-2	+0	-2	+1	+4	0.1
2036	31	MLB CTX	SEA	59%	191	171	39	7	1	5	17	48	1	2	2	223	297	351	648	128	279	25	9	292	85	-3	-0	-2	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1358	1213	283	52	7	37	122	330	11	16	7	233	309	379	688	146	288	24	9	304	98	-10	+0	-9	+5	+29	1.6
/ 162G	—	A+C		—	650	581	136	25	3	18	58	158	5	8	3	234	309	380	689	146	289	24	9	304	98	-5	+0	-4	+2	+14	0.8
Career	—	MLE		—	2711	2411	577	110	9	73	248	649	24	33	11	239	316	383	700	144	295	24	9	313	98	-19	+2	-16	+9	+57	3.3
/ 162G	—	MLE		—	650	578	138	26	2	18	59	156	6	8	3	239	316	384	700	145	293	24	9	313	98	-5	+0	-4	+2	+14	0.8

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 AInland Empire 66ers · 100 PAwOBA .518 → .467 (−51)K% 12.0% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷1.000	×1.360	—	—	16.32%
BB% (unintentional) /PA	19.00%	÷1.000	×0.690	—	×1.015	13.31%
HBP% /PA	1.00%	—	×0.780	—	×1.015	0.79%
Singles /BIP	34.92%	÷1.000	×0.920	×0.999	×1.015	32.57%
Doubles /BIP	12.70%	÷1.000	×0.830	×0.999	×1.015	10.69%
Triples /BIP	0.00%	÷1.000	×0.910	×0.999	×1.015	0.00%
Home runs /BIP	4.76%	÷1.000	×0.800	—	×1.015	3.87%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.999.

Result: wOBA .518 → .467; ISO .227 → .207; BABIP .462 → .419. 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
#1Brendan Harrislast yr '13 career totals — 6 seasons, 1,819 PA	2.7	1,819	31	5	256	313	380	+18	-14	4.3	4.3
/162	664	11	2	+6.6	-5.2	1.6	pk7: 4
#2Daniel Descalsolast yr '19 career totals — 9 seasons, 2,856 PA	4.3	2,856	48	25	235	320	363	+16	-36	3.5	4.0
/162	664	11	6	+3.8	-8.3	0.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.1	1,421	38	16	235	307	378	+5	-17	3.5	3.3
/162	664	18	8	+2.4	-7.8	1.6	pk7: 3
#3Dale Sveum'86-'99 * career totals — 10 seasons, 2,810 PA	4.2	2,810	69	10	232*	295*	389*	+14	-23	1.4	2.4
/162	664	16	2	+3.4	-5.4	0.3	pk7: 4
#4Larvell Blanks'72-'80 * career totals — 7 seasons, 1,953 PA	2.9	1,953	20	9	249*	301*	364*	+15	-10	1.6	2.4
/162	664	7	3	+5.2	-3.2	0.5	pk7: 3
#5Conor Gillaspielast yr '17 career totals — 5 seasons, 1,503 PA	2.3	1,503	32	1	252	305	394	+5	-14	2.2	2.2
/162	664	14	0	+2.4	-6.1	1.0	pk7: 2
#6Rick Schu'84-'96 * career totals — 6 seasons, 1,729 PA	2.6	1,729	41	17	244*	309*	411*	+1	-22	1.4	1.8
/162	664	16	7	+0.2	-8.4	0.5	pk7: 2

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
Ace Reese (OGILVIE)	22	—	—	—	—	230/306/365	135	289	2	1	24%	9%	92	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matthew Sweeney 2010 · A	22	47→42	49→55	46→45	45	237/294/391	153	295	16	5	25%	7%	92	+0.7	191/254/302	111	277	10	4	33%	7%	57	-1.8	162/226/261	99	236	9	1	34%	7%	35	-1.4
●Graham Pauley 2023 · A	22	45→52	45→55	48→50	52	224/302/352	128	270	12	12	21%	9%	86	+0.3	233/300/393	160	281	18	11	23%	8%	95	+1.0	226/297/390	163	268	19	11	23%	8%	91	+0.5
✕Jason Martin 2018 · AA	22	43→52	49→60	47→50	41	221/271/374	153	296	16	13	31%	6%	80	-0.2	235/282/374	139	306	13	12	26%	6%	83	+0.1	226/292/414	187	279	24	8	28%	8%	94	+0.6
✕Nick Weglarz 2010 · AA	22	45→48	49→50	43→45	53	225/318/378	152	281	17	5	25%	11%	99	+1.2	223/313/373	150	295	15	5	28%	10%	96	+1.0	210/302/356	146	295	15	3	32%	10%	86	+0.2
✕Christin Stewart 2016 · A	22	46→48	47→55	49→45	41	228/296/372	144	306	14	8	29%	6%	89	+0.5	214/294/383	169	283	20	3	30%	9%	91	+0.7	227/301/404	177	282	22	1	27%	8%	98	+1.0
✕Eddys Leonard 2023 · A	22	45→47	48→50	45→50	42	226/295/372	146	296	15	5	28%	6%	89	+0.5	222/280/363	141	284	16	8	27%	6%	81	-0.1	215/271/359	144	269	17	9	26%	5%	74	-0.4
✕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
✕Travis Scott 2008 · A	23	44	50→55	43→40	44	227/287/376	149	291	18	3	28%	7%	86	+0.3	223/277/378	155	288	18	5	28%	7%	83	+0.1	216/269/375	159	274	18	3	27%	6%	79	-0.1
●Taylor Green 2009 · A	22	51→56	46→50	40→30	50	253/316/384	131	292	14	3	18%	8%	99	+1.2	247/305/380	133	282	13	2	17%	7%	93	+0.8	251/309/394	143	284	14	0	17%	7%	97	+0.8
✕Miguel Amaya 2021 · A	22	43	46→50	48→40	47	217/290/349	133	270	14	4	25%	8%	82	-0.0	222/315/352	130	303	13	6	29%	9%	92	+0.7	216/325/362	146	296	16	3	30%	10%	98	+0.3
✕Max Stassi 2013 · A	22	43→45	48→55	44→40	40	219/279/357	139	300	16	5	32%	6%	79	-0.2	222/269/363	141	295	16	3	30%	5%	76	-0.4	216/302/377	161	281	21	0	29%	10%	94	+0.4
✕Colson Montgomery 2024 · AA	22	49→48	45→55	41→45	50	235/328/366	131	311	12	3	26%	10%	100	+1.3	202/284/363	161	279	20	5	33%	8%	83	+0.1	189/270/365	176	256	24	4	35%	8%	78	-0.3
✕Isan Díaz 2017 · A	21	43	47→55	45	43	212/278/355	143	302	14	8	33%	8%	78	-0.3	207/279/349	142	299	15	8	34%	8%	78	-0.3	212/290/379	167	275	21	5	30%	9%	86	+0.2
✕Jimmy Crooks 2024 · A	23	47	44→50	46→40	43	227/290/349	123	306	11	4	29%	7%	81	-0.1	240/306/372	132	335	14	4	30%	7%	92	+0.7	240/311/381	141	337	17	2	32%	8%	94	+0.6
✕Johnny Monell 2008 · A	22	43	43→50	44→45	47	212/287/326	114	278	11	8	27%	8%	75	-0.5	230/291/359	129	287	12	8	23%	7%	84	+0.1	225/286/348	123	283	13	8	24%	7%	78	-0.2
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	273	17	4	28%	9%	84	+0.1	202/278/337	135	292	15	4	33%	9%	74	-0.5	170/260/301	131	253	15	0	37%	11%	58	-1.2
✕Darrien Miller 2023 · A	22	40→42	47→45	50→45	49	202/313/334	132	268	16	7	29%	10%	88	+0.5	192/300/291	99	262	9	5	28%	10%	74	-0.5	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Brooks Lee 2023 · A	22	50→51	45→50	41→45	51	245/311/369	125	289	13	6	20%	8%	93	+0.8	244/296/379	135	284	13	6	19%	7%	90	+0.6	243/290/392	149	264	19	6	16%	6%	91	+0.6
✕Matt Thaiss 2017 · A	22	49→51	43→55	45	47	236/286/354	118	273	8	5	17%	6%	80	-0.1	234/298/361	127	292	12	6	23%	8%	86	+0.3	229/309/386	157	283	18	4	25%	10%	95	+0.7
●Brian Goodwin 2013 · AA	22	47→52	46→60	48→50	49	233/308/370	136	299	14	13	26%	9%	93	+0.8	220/293/335	115	302	9	13	28%	9%	79	-0.2	243/307/436	194	312	22	11	28%	8%	108	+1.1

Ace Reese

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps