Cody Miller — OGILVIE

Cody MillerSS Rome Emperors

Age 22 R/R 5'11" / 189 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION569 act + 9 ros · stats below = ROS only

showingROS

wRC+†62

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

PA9

HR0

K%33

BB%11

BABIP263

ISO114

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 45 / POW 40

Toolsscout grade

CONTACT45

scouting grade only

POWER40

scouting grade only

EYE54

scouting grade only

SPEED60

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-2	$1M	—	—	—
2035	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)
2025	21	A+	Rome Emperors	—	70	64	19	3	1	1	5	22	1	6	1	297	357	422	779	125	439	31	7	349	122	+2	+1	—	—	+2	0.4
2025	21	A	Augusta GreenJackets	—	48	43	16	2	0	1	3	10	1	4	2	372	426	488	914	116	455	21	6	401	157	+3	+0	—	—	+1	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A+ MLE	Rome Emperors	—	70	66	14	2	1	1	3	30	1	6	1	212	257	318	575	106	358	43	4	240	49	-4	+1	—	—	+2	-0.2
2025	21	A MLE	Augusta GreenJackets	—	48	44	14	2	0	1	2	14	1	4	2	318	362	432	794	114	406	29	4	319	102	+0	+0	—	—	+1	0.1
2025	21	A+ MLE	2 teams	—	118	110	27	3	1	2	5	44	2	10	3	245	291	345	636	100	385	37	4	272	70	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	118	107	35	5	1	2	8	32	2	10	3	327	385	449	833	121	446	27	7	370	70	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	118	110	27	3	1	2	5	44	2	10	3	245	291	345	636	100	378	37	4	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A+ MLE	2 teams	—	118	110	27	3	1	2	5	44	2	10	3	245	291	345	636	100	378	37	4	272	70	—	—	—	—	—	—
YTD	22	A+ MLE	ATL	—	569	490	77	12	2	12	47	217	23	56	13	157	263	263	526	106	242	38	8	234	45	-37	+6	+0	+6	+12	-1.3
▸ 2026 season
YTD	22	A RAW	ATL	—	215	170	35	4	1	7	35	57	8	25	7	206	366	365	731	159	259	27	16	337	45	—	—	—	—	—	—
YTD	22	A+ RAW	ATL	—	354	295	59	12	1	8	37	102	15	31	6	200	320	329	649	129	267	29	10	296	45	—	—	—	—	—	—
ROS	22	A+ MLE	ATL	0%	9	8	1	0	0	0	1	3	0	1	0	125	222	125	347		263	33	11	259	62	-0	+0	+0	+0	+0	0.0
TOT	22	A+ MLE	ATL	—	578	498	78	12	2	12	48	220	23	57	13	157	262	261	523	104	241	38	8	235	45	-38	+6	+0	+6	+13	-1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	ATL	43%	345	306	58	10	1	8	27	111	9	14	3	190	275	307	582	118	266	32	8	267	67	-14	+2	+0	+4	+7	-0.1
2028	24	MLB MLE	ATL	58%	416	370	73	13	2	10	33	130	10	14	3	197	281	324	605	127	269	31	8	275	72	-14	+2	+0	+4	+9	0.1
2029	25	MLB MLE	ATL	65%	445	395	79	14	2	11	36	136	11	14	3	200	285	329	614	129	270	31	8	279	75	-13	+2	+0	+5	+10	0.3
2030	26	MLB MLE	ATL	68%	462	410	83	15	2	12	38	141	11	14	3	202	288	337	624	134	271	31	8	281	76	-13	+2	+0	+5	+10	0.4
2031	27	MLB MLE	ATL	68%	464	411	83	15	2	12	39	142	11	13	3	202	289	336	624	134	270	31	8	281	76	-13	+1	+0	+5	+10	0.4
2032	28	MLB MLE	ATL	68%	461	408	82	15	2	12	39	141	11	12	3	201	288	336	624	135	270	31	8	280	76	-13	+1	-1	+5	+10	0.2
2033	29	MLB MLE	ATL	72%	452	400	79	14	2	11	38	139	11	11	3	198	285	325	610	128	269	31	8	279	75	-14	+1	-1	+5	+10	0.1
2034	30	MLB MLE	ATL	75%	442	391	78	14	2	11	38	137	10	10	2	199	287	330	617	130	268	31	9	276	73	-14	+1	-2	+5	+10	-0.1
2027	23	MLB CTX	ATL	43%	150	133	26	5	1	3	12	48	4	6	1	195	282	316	598	120	266	32	8	248	67	-6	+1	+0	+2	+3	-0.0
2028	24	MLB CTX	ATL	58%	241	214	43	8	1	6	19	75	6	8	2	201	285	332	616	131	269	31	8	256	72	-8	+1	+0	+3	+5	0.1
2029	25	MLB CTX	ATL	65%	289	256	51	9	1	7	24	89	7	9	2	199	286	324	610	125	270	31	8	261	75	-9	+1	+0	+3	+6	0.2
2030	26	MLB CTX	ATL	68%	314	277	56	10	1	8	26	96	8	9	2	202	289	332	622	130	271	31	8	263	76	-9	+1	+0	+3	+7	0.2
2031	27	MLB CTX	ATL	68%	316	279	56	10	1	8	26	96	8	9	2	201	288	330	617	129	270	30	8	264	76	-9	+1	+0	+3	+7	0.2
2032	28	MLB CTX	ATL	68%	313	277	55	10	1	8	26	96	7	8	2	199	284	329	612	130	270	31	8	263	76	-9	+1	-0	+3	+7	0.2
2033	29	MLB CTX	ATL	72%	327	288	57	10	1	8	28	101	8	8	2	198	287	323	610	125	269	31	9	261	75	-10	+1	-1	+4	+7	0.1
2034	30	MLB CTX	ATL	75%	333	294	57	10	1	8	28	104	8	8	2	194	282	316	598	122	268	31	8	259	73	-11	+1	-2	+4	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2283	2018	401	72	8	56	189	705	56	65	15	199	285	326	611	127	272	31	8	260	74	-70	+7	-3	+24	+49	0.8
/ 162G	—	A+C		—	650	575	113	20	2	16	54	201	16	19	4	197	284	322	606	125	268	31	8	260	74	-20	+2	-1	+7	+14	0.2
Career	—	MLE		—	3614	3209	643	113	16	89	294	1124	86	113	26	200	285	329	614	128	275	31	8	277	74	-108	+11	-4	+37	+76	1.3
/ 162G	—	MLE		—	650	577	115	20	3	16	53	202	15	20	5	199	283	328	611	128	273	31	8	277	74	-20	+2	-1	+7	+14	0.2

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
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.4	2,284	56	65	199	283	328	+24	+0	2.5	2.5
/162	664	16	19	+7.1	+0.0	0.7	pk7: 2
#5Nick 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
#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
Cody Miller (OGILVIE)	22	45	40	60	54	180/270/287	108	263	4	14	34%	8%	62	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mora 2022 · A	22	46	44→45	55	46	225/303/346	121	300	11	14	27%	8%	86	+0.3	225/283/333	108	304	9	9	28%	5%	75	-0.5	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Cooper Bowman 2022 · A	22	44→43	45	56→60	41	213/288/344	131	301	12	19	32%	7%	80	-0.2	199/275/314	115	285	11	34	32%	8%	68	-1.0	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Matt Williams 2012 · A	22	44→48	43→40	54→50	44	217/280/330	112	279	9	16	25%	7%	73	-0.6	222/273/308	86	278	6	14	21%	6%	65	-1.2	218/290/279	61	282	3	15	22%	9%	63	-0.8
✕Jared Serna 2023 · A	21	41→48	43→45	54→50	49	203/292/313	110	263	10	21	26%	9%	75	-0.5	220/278/337	117	273	11	15	23%	6%	74	-0.6	216/272/322	106	264	10	16	22%	6%	65	-1.1
✕Clay Fuller 2009 · A	22	45	42→45	59→55	44	212/292/327	115	313	8	20	32%	8%	77	-0.3	208/277/318	110	293	11	18	31%	7%	70	-0.9	202/268/308	105	278	12	18	30%	7%	61	-1.1
✕Tyler Goeddel 2016 · AA	23	48→51	43→45	56→55	43	233/288/349	117	305	9	19	26%	6%	80	-0.2	219/281/319	100	281	8	14	24%	7%	70	-0.8	203/269/290	87	261	6	12	23%	7%	57	-1.0
✕Jonathan Galvez 2013 · AA	22	49→48	44→45	53→55	40	235/287/358	124	324	11	18	30%	6%	82	-0.0	229/280/334	105	316	9	14	29%	6%	74	-0.6	223/275/318	96	309	7	13	29%	6%	65	-0.8
✕Noel Cuevas 2014 · A	22	47→51	43→45	56→55	41	229/274/344	115	291	9	24	24%	5%	74	-0.6	225/262/320	95	291	7	17	24%	4%	63	-1.4	251/284/358	107	311	8	12	22%	3%	77	-0.2
✕Tsung-Che Cheng 2023 · A	22	48→47	42→45	57→55	51	226/308/340	115	305	8	21	27%	10%	86	+0.3	213/278/323	110	288	9	18	27%	8%	70	-0.8	202/266/301	99	273	8	19	28%	7%	58	-1.4
✕Corey Toups 2016 · A	23	49→50	41→45	56→50	46	235/295/344	109	306	7	17	25%	7%	81	-0.1	216/276/329	113	308	9	16	31%	6%	71	-0.8	204/268/315	111	299	9	16	33%	6%	62	-1.0
✕Cayden Wallace 2023 · A	21	46→48	42→50	56→50	42	223/275/338	115	301	9	15	28%	6%	72	-0.7	214/270/329	115	284	10	12	27%	6%	69	-0.9	226/275/366	139	277	16	14	24%	5%	77	-0.3
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Felix Valerio 2023 · AA	22	43→48	43→45	53→55	49	211/280/324	113	249	11	23	20%	8%	72	-0.7	204/266/302	98	265	9	16	25%	7%	61	-1.5	190/252/275	85	254	8	13	27%	6%	46	-1.1
✕Nate Eaton 2019 · A	22	50	42→45	57→60	42	234/291/359	124	326	7	14	29%	7%	83	+0.1	201/257/291	90	278	6	14	28%	6%	55	-2.0	213/270/337	124	278	12	27	27%	6%	68	-0.7
✕Johan Lopez 2022 · A	22	43	44→45	56→55	44	209/290/327	118	301	11	16	32%	8%	76	-0.4	195/268/294	99	299	9	12	35%	8%	61	-1.5	172/246/253	81	260	7	12	34%	7%	41	-1.1
✕Jason Taylor 2010 · A	22	44→39	45	52→55	49	219/291/341	122	268	12	21	23%	8%	80	-0.2	208/259/316	108	271	10	13	26%	6%	61	-1.5	143/172/230	86	185	9	6	28%	3%	7	-1.1
✕Liover Peguero 2023 · AA	22	45→46	42→45	56→55	38	223/261/330	107	301	10	23	29%	4%	65	-1.2	218/265/340	122	287	13	18	28%	6%	69	-0.9	212/262/335	123	275	14	18	28%	6%	65	-1.0
✕Victor Scott II 2023 · A	22	44→54	44→40	58→65	51	211/296/334	123	285	10	19	28%	10%	80	-0.1	223/284/317	94	282	7	44	22%	6%	71	-0.8	218/282/304	85	275	7	49	22%	6%	66	-1.0
✕Michael Guldberg 2022 · A	23	45	44→45	55	44	221/288/339	118	278	11	16	24%	6%	78	-0.3	214/270/297	83	283	6	12	25%	6%	61	-1.5	205/257/264	59	274	3	10	25%	6%	46	-0.7
✕Ben Ross 2023 · A	22	46→44	47→45	54→55	46	226/299/362	136	313	14	14	31%	9%	88	+0.4	185/248/305	120	266	14	13	34%	7%	56	-1.9	184/255/309	125	254	14	19	32%	8%	57	-1.4

Career Stats + Projections

Career Comps

Career Path Comps