Gage Miller — OGILVIE

Gage Miller2B Jacksonville Jumbo Shrimp

Age 23 R/R 5'11" / 205 lbs AAA HR -10%H -3% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION285 act + 9 ros · stats below = ROS only

showingROS

wRC+†79

AVG/OBP/SLG—

PA1

HR0

K%22

BB%11

BABIP250

ISO94

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

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

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE55

scouting grade only

SPEED55

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	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Arb-1	$2M	+0.3	$0.8M	+$0.0M (cut)
2032	Arb-2	$2M	+0.2	$0.5M	+$0.0M (cut)
2033	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$4M	+$0.7M

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	21	A+	Beloit Sky Carp	—	85	80	16	2	1	0	1	18	3	1	0	200	238	250	488	50	254	21	1	222	36	-6	+0	—	—	+2	-0.4
2024	21	A	Jupiter Hammerheads	—	33	24	9	2	0	0	6	2	1	1	1	375	516	458	974	83	375	6	18	419	170	+3	-0	—	—	+1	0.3
2025	22	AA	Pensacola Blue Wahoos	—	70	62	14	1	0	2	7	12	1	1	2	226	314	339	653	113	250	17	10	300	89	-1	-1	—	—	+2	0.0
2025	22	A+	Beloit Sky Carp	—	356	299	62	14	2	4	48	53	7	20	4	207	331	308	638	100	238	15	13	298	88	-5	+2	—	—	+8	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A+ MLE	Beloit Sky Carp	—	85	80	14	2	1	0	1	24	3	1	0	175	214	225	439	50	217	28	1	173	3	-10	+0	—	—	+2	-0.8
2024	21	A MLE	Jupiter Hammerheads	—	33	25	9	2	0	0	5	3	1	1	1	360	484	440	924	80	333	9	15	400	157	+2	-0	—	—	+1	0.3
2025	22	AA MLE	Pensacola Blue Wahoos	—	70	64	12	1	0	1	5	15	1	1	2	188	257	250	507	62	217	21	7	231	42	-5	-1	—	—	+2	-0.4
2025	22	A+ MLE	Beloit Sky Carp	—	356	312	51	11	2	3	35	74	7	20	4	163	263	240	503	77	201	21	10	233	44	-24	+2	—	—	+8	-1.4
2024	21	A+ MLE	2 teams	—	118	106	22	4	1	0	5	27	4	2	1	208	270	264	534	57	268	23	4	236	46	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	118	104	25	4	1	0	7	20	4	2	1	240	313	298	611	58	287	17	6	277	46	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	426	376	64	12	2	5	40	88	8	21	6	170	264	253	517	82	207	21	9	233	44	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	426	361	76	15	2	6	55	65	8	21	6	211	328	313	641	102	240	15	13	299	44	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	118	108	22	4	1	0	5	27	4	2	1	204	270	259	529	56	249	23	4	236	46	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	426	375	64	12	2	5	40	88	8	21	6	171	264	253	517	83	204	21	9	233	44	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A+ MLE	2 teams	—	118	108	22	4	1	0	5	27	4	2	1	204	270	259	529	56	249	23	4	236	46	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	426	375	64	12	2	5	40	88	8	21	6	171	264	253	517	83	204	21	9	233	44	—	—	—	—	—	—
YTD	23	AAA MLE	MIA	—	285	249	54	10	0	8	28	63	6	10	7	217	311	353	664	137	256	22	10	295	86	-5	-1	+0	+1	+6	0.2
▸ 2026 season
YTD	23	AA RAW	MIA	—	106	91	25	3	0	4	13	19	1	3	3	275	371	440	811	165	304	18	12	361	86	—	—	—	—	—	—
YTD	23	AAA RAW	MIA	—	179	146	37	9	0	7	27	33	5	7	4	253	388	459	847	205	280	18	15	378	86	—	—	—	—	—	—
ROS	23	AAA MLE	MIA	10%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		258	22	11	284	79	-0	+0	+0	+0	+0	-0.0
▸ 2026 season — projected rest
ROS	23	MLB CTX	MIA	10%	1	1	0	0	0	0	0	0	0	0	0						250	0	0	264	79	-0	+0	+0	+0	+0	-0.0
FULL	23	MLB A+C	MIA	—	1	1	0	0	0	0	0	0	0	0	0							0	0	264	86	-0	+0	+0	+0	+0	0.0
TOT	23	AAA MLE	MIA	—	294	257	55	10	0	8	29	65	6	10	7	214	308	346	655	132	253	22	10	295	86	-5	-1	+0	+1	+6	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	MIA	35%	457	404	88	17	1	10	42	96	8	13	6	218	304	339	643	121	261	21	9	292	84	-9	+0	+0	+2	+10	0.3
2028	25	MLB MLE	MIA	46%	485	429	96	18	2	11	45	101	8	13	7	224	309	352	661	128	264	21	9	297	87	-7	-0	+0	+2	+11	0.5
2029	26	MLB MLE	MIA	52%	501	442	100	19	2	12	46	105	8	14	7	226	310	360	670	133	265	21	9	300	89	-7	+0	+0	+2	+11	0.6
2030	27	MLB MLE	MIA	53%	506	446	100	19	2	12	47	106	8	14	7	224	309	357	666	132	265	21	9	300	89	-6	+0	+0	+2	+11	0.7
2031	28	MLB MLE	MIA	54%	504	444	100	19	2	12	47	107	8	13	6	225	311	358	669	133	265	21	9	299	89	-7	+0	-1	+2	+11	0.6
2032	29	MLB MLE	MIA	53%	496	438	96	18	1	11	47	106	8	12	6	219	306	340	646	121	264	21	9	297	87	-7	+0	-1	+2	+11	0.4
2033	30	MLB MLE	MIA	52%	486	429	94	18	1	11	46	105	8	11	5	219	306	343	649	124	263	22	9	295	86	-8	+0	-2	+2	+11	0.2
2034	31	MLB MLE	MIA	52%	473	417	90	17	1	10	45	104	8	9	4	216	304	333	638	118	260	22	10	290	83	-10	+0	-3	+2	+10	-0.0
2027	24	MLB CTX	MIA	35%	159	140	30	6	0	3	15	33	3	4	2	214	304	321	625	107	254	21	9	272	84	-3	+0	+0	+1	+3	0.1
2028	25	MLB CTX	MIA	46%	225	198	43	8	1	5	21	47	4	6	3	217	305	343	648	126	256	21	9	277	87	-3	+0	+0	+1	+5	0.2
2029	26	MLB CTX	MIA	52%	259	229	50	9	1	6	24	54	4	7	3	218	304	345	648	127	257	21	9	280	89	-3	+0	+0	+1	+6	0.3
2030	27	MLB CTX	MIA	53%	268	237	51	9	1	6	25	56	4	7	4	215	301	338	638	122	258	21	9	280	89	-3	-0	+0	+1	+6	0.3
2031	28	MLB CTX	MIA	54%	270	239	51	9	1	6	25	57	4	7	3	213	299	335	633	121	257	21	9	280	89	-4	+0	-0	+1	+6	0.3
2032	29	MLB CTX	MIA	53%	261	230	50	9	1	6	25	56	4	6	3	217	305	343	648	126	257	21	10	278	87	-4	+0	-1	+1	+6	0.2
2033	30	MLB CTX	MIA	52%	254	224	48	9	1	5	24	55	4	6	3	214	302	330	632	116	255	22	9	275	86	-4	+0	-1	+1	+6	0.1
2034	31	MLB CTX	MIA	52%	245	216	45	8	1	5	23	54	4	5	2	208	296	324	620	116	253	22	9	271	83	-5	+0	-1	+1	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1942	1714	368	67	7	42	182	412	31	48	23	215	302	335	637	121	257	21	9	277	82	-30	+0	-4	+7	+42	1.6
/ 162G	—	A+C		—	650	574	122	22	2	14	61	138	10	16	8	213	299	331	630	118	254	21	9	277	82	-10	+0	-1	+2	+14	0.5
Career	—	MLE		—	4461	3939	851	161	15	94	411	947	76	122	55	216	302	336	638	120	259	21	9	289	82	-62	+1	-7	+14	+85	3.1
/ 162G	—	MLE		—	650	574	124	23	2	14	60	138	11	18	8	216	302	336	639	120	259	21	9	289	82	-10	+0	-1	+2	+14	0.5

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
#2Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#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
#4Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.0	1,973	44	50	222	305	348	+7	+4	3.1	2.9
/162	664	15	17	+2.4	+1.3	1.0	pk7: 3
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	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
Gage Miller (OGILVIE)	23	40	30	55	55	211/298/319	108	258	6	10	21%	9%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Humberto Castro 2014 · AAA	23	47	38→30	50→45	43	225/272/299	74	264	6	8	17%	4%	62	-1.4	235/288/313	78	290	5	8	20%	5%	72	-0.7	263/320/320	57	310	3	5	15%	5%	81	-0.0
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/288	80	272	6	7	25%	9%	68	-1.0	227/312/290	63	312	3	5	26%	8%	76	-0.4	234/324/284	50	326	2	2	25%	8%	77	-0.1
✕Adrian Abreu 2013 · A	22	45	40	53→55	53	218/296/306	88	253	9	19	18%	9%	74	-0.6	203/280/286	83	264	6	13	23%	9%	63	-1.3	141/245/214	74	184	4	14	24%	11%	32	-0.7
✕Franklin Rollin 2019 · AAA	23	43	40→45	51→55	41	212/255/306	94	262	7	18	22%	4%	57	-1.8	200/251/284	84	267	7	13	27%	5%	51	-2.2	146/193/181	35	205	3	13	29%	4%	3	-1.4
✕Colt Sedbrook 2010 · AA	25	45→44	38→30	51→50	48	214/305/291	76	273	6	14	22%	8%	75	-0.5	206/301/279	73	263	5	12	22%	8%	71	-0.8	180/292/226	46	232	2	12	20%	9%	55	-1.1
✕Miguel Torrero 2007 · AAA	23	46→52	39→30	46→40	47	222/271/308	86	257	7	10	17%	6%	63	-1.3	270/320/330	60	301	2	6	10%	6%	86	+0.3	288/340/336	48	318	0	2	9%	6%	93	+0.4
✕Jasson Atondo 2019 · AAA	23	46→56	40→30	45→50	46	220/270/315	95	264	7	11	20%	6%	65	-1.2	271/306/347	76	305	6	12	13%	5%	85	+0.2	302/331/357	55	335	3	11	10%	4%	92	+0.6
✕Mike Brownstein 2011 · A	23	49	36→30	50→55	53	225/298/293	68	274	2	15	18%	9%	71	-0.8	223/286/296	73	298	4	12	24%	8%	67	-1.1	225/290/286	61	298	3	14	24%	8%	64	-0.7
✕Gabriel Mejia 2018 · A	23	48	35→30	52→70	44	226/273/282	56	287	2	22	21%	6%	58	-1.7	210/261/270	60	292	3	13	27%	6%	51	-2.3	209/265/254	44	270	0	10	21%	6%	47	-0.5
✕Jacob Young 2022 · A	23	43→53	38→40	57→60	44	204/256/283	80	261	5	21	23%	6%	53	-2.1	242/303/317	75	307	4	31	21%	6%	78	-0.3	242/306/332	90	291	7	29	18%	7%	81	-0.0
✕Alfredo González 2015 · A	23	42	38→30	52→45	43	203/264/285	81	271	6	9	26%	6%	56	-1.9	233/294/295	62	311	4	6	24%	7%	70	-0.9	228/291/282	54	298	4	5	23%	7%	63	-0.7
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Ramon Soto 2010 · AAA	22	48	39→30	46→45	44	232/282/308	77	288	7	9	22%	6%	68	-1.0	241/286/303	62	291	4	8	18%	5%	68	-1.0	271/316/324	52	332	1	7	18%	5%	80	-0.1
✕Eduardo Torrealba 2023 · A	24	45	38→30	54→50	45	214/267/294	80	259	6	17	20%	6%	59	-1.6	211/271/284	73	266	5	14	21%	6%	59	-1.7	206/269/254	48	258	3	15	20%	7%	50	-1.2
✕Erik Wetzel 2010 · A	23	49	39→30	55	49	234/297/317	83	292	7	17	22%	8%	76	-0.4	233/280/282	49	300	2	15	21%	6%	60	-1.6	238/282/266	28	305	0	17	21%	5%	56	-0.9
✕Alvaro Ramirez 2009 · A	23	45	38→40	49→55	46	213/277/299	86	263	5	15	20%	6%	65	-1.2	238/293/315	77	287	5	16	18%	5%	74	-0.6	298/358/375	77	330	4	27	10%	5%	110	+0.8
✕Leo German 2016 · AAA	23	44→54	41→45	54→55	42	216/277/309	93	274	9	21	24%	5%	67	-1.1	255/294/342	87	336	6	27	25%	4%	80	-0.2	278/313/363	84	359	6	23	23%	4%	88	+0.2
✕Levi Michael 2014 · A	23	41→51	37→45	55	49	197/274/273	77	262	4	13	25%	9%	58	-1.7	224/291/308	84	296	4	16	24%	7%	72	-0.7	228/294/337	109	315	10	11	29%	5%	77	-0.2
✕Erlin Cerda 2017 · A	23	44	36→40	51→55	42	205/266/275	70	280	2	11	26%	6%	55	-2.0	195/240/267	72	302	3	8	34%	5%	42	-2.9	164/198/208	44	258	0	8	35%	4%	9	-1.2
✕Pablo Olivares 2021 · A	23	46→43	37→40	46→50	46	217/293/289	72	275	5	14	22%	7%	69	-0.9	207/282/294	87	273	5	12	24%	8%	65	-1.2	192/271/278	86	259	4	12	25%	8%	56	-0.7

Career Stats + Projections

Career Comps

Career Path Comps