Harry Owen — OGILVIE

Harry OwenC Rome Emperors

Age 24 R/R 6'1" / 225 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 106 proj PA

wRC+†58

AVG/OBP/SLG.208 / .260 / .298

PA9

HR0

K%25

BB%5

ISO91

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 41 / POW 35

Toolsscout grade

CONTACT41

scouting grade only

POWER35

scouting grade only

EYE38

scouting grade only

SPEED42

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	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2022	20	ROK	FCL Braves	—	22	18	4	0	0	1	4	2	0	0	0	222	364	389	753	167	200	9	18	345	120	+1	+0	—	—	+0	0.1
2023	21	ROK	FCL Braves	—	75	57	13	2	0	0	12	16	5	1	0	228	405	263	669	35	310	21	16	328	108	+1	+0	—	—	+2	0.3
2024	22	A	Augusta GreenJackets	—	179	162	36	6	1	3	13	37	2	0	0	222	288	327	615	105	266	21	7	277	74	-6	+0	—	—	+4	-0.2
2024	22	ROK	FCL Braves	—	26	25	3	0	0	0	1	6	0	0	0	120	154	120	274		158	23	4	131	-25	-4	+0	—	—	+1	-0.3
2025	23	A+	Rome Emperors	—	136	121	21	4	0	1	10	24	4	0	0	174	259	231	491	58	208	18	7	232	43	-9	+0	—	—	+3	-0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	20	ROK MLE	FCL Braves	—	22	20	4	0	0	1	2	3	0	0	0	200	273	350	623	150	164	14	9	253	57	-1	+0	—	—	+0	-0.1
2023	21	ROK MLE	FCL Braves	—	75	61	11	2	0	0	8	23	5	1	0	180	324	213	537	33	259	31	11	245	52	-4	+0	—	—	+2	-0.3
2024	22	A MLE	Augusta GreenJackets	—	179	167	32	5	1	3	8	52	2	0	0	192	237	287	525	96	245	29	4	221	36	-14	+0	—	—	+4	-1.0
2024	22	ROK MLE	FCL Braves	—	26	25	2	0	0	0	1	8	0	0	0	80	115	80	195		124	31	4	88	-54	-5	+0	—	—	+1	-0.4
2025	23	A+ MLE	Rome Emperors	—	136	124	17	3	0	1	7	33	4	0	0	137	207	185	393	48	171	24	5	173	3	-16	+0	—	—	+3	-1.3
2022	20	ROK MLE	FCL Braves	—	22	20	4	0	0	1	2	3	0	0	0	200	273	350	623	150	188	14	9	253	57	—	—	—	—	—	—
2022	20	ROK RAW	FCL Braves	—	22	18	4	0	0	1	4	2	0	0	0	222	364	389	753	167	200	9	18	345	57	—	—	—	—	—	—
2023	21	ROK MLE	FCL Braves	—	75	61	11	2	0	0	8	23	5	1	0	180	324	213	537	33	282	31	11	245	52	—	—	—	—	—	—
2023	21	ROK RAW	FCL Braves	—	75	57	13	2	0	0	12	16	5	1	0	228	405	263	669	35	310	21	16	328	52	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	205	192	34	5	1	3	9	60	2	0	0	177	222	260	482	83	237	29	4	204	24	—	—	—	—	—	—
2024	22	A RAW	2 teams	—	205	187	39	6	1	3	14	43	2	0	0	209	271	299	570	91	252	21	7	259	24	—	—	—	—	—	—
2025	23	A+ MLE	Rome Emperors	—	136	124	17	3	0	1	7	33	4	0	0	137	207	185	393	48	178	24	5	173	3	—	—	—	—	—	—
2025	23	A+ RAW	Rome Emperors	—	136	121	21	4	0	1	10	24	4	0	0	174	259	231	491	58	208	18	7	232	3	—	—	—	—	—	—
2022	20	ROK MLE	FCL Braves	—	22	20	4	0	0	1	2	3	0	0	0	200	273	350	623	150	164	14	9	253	57	—	—	—	—	—	—
2023	21	ROK MLE	FCL Braves	—	75	62	11	2	0	0	8	23	5	1	0	177	324	210	534	32	259	31	11	245	52	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	205	192	34	5	1	3	9	60	2	0	0	177	222	260	482	83	230	29	4	204	24	—	—	—	—	—	—
2025	23	A+ MLE	Rome Emperors	—	136	124	17	3	0	1	7	33	4	0	0	137	207	185	393	48	171	24	5	173	3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	ROK MLE	FCL Braves	—	75	62	11	2	0	0	8	23	5	1	0	177	324	210	534	32	259	31	11	245	52	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	205	192	34	5	1	3	9	60	2	0	0	177	222	260	482	83	230	29	4	204	24	—	—	—	—	—	—
2025	23	A+ MLE	Rome Emperors	—	136	124	17	3	0	1	7	33	4	0	0	137	207	185	393	48	171	24	5	173	3	—	—	—	—	—	—
▸ 2026 season
2026	24	MLB MLE	ATL	0%	9	9	1	0	0	0	0	2	0	0	0	111	111	111	222		271	22	0	254	58	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	ATL	30%	183	168	37	7	1	3	10	45	3	3	1	220	276	327	604	107	273	25	5	264	65	-8	+0	+0	+3	+4	-0.0
2028	26	MLB MLE	ATL	44%	274	252	54	10	1	5	16	67	4	4	1	214	272	321	593	107	275	24	6	270	69	-10	+0	+0	+5	+6	0.1
2029	27	MLB MLE	ATL	49%	325	298	65	12	2	6	20	80	4	5	1	218	276	332	609	114	275	25	6	273	71	-11	+1	+0	+6	+7	0.2
2030	28	MLB MLE	ATL	52%	357	327	72	14	2	6	22	88	5	5	1	220	280	330	610	110	275	25	6	273	71	-12	+1	-1	+6	+8	0.2
2031	29	MLB MLE	ATL	51%	370	339	73	14	2	6	23	92	5	5	1	215	275	322	597	106	274	25	6	271	70	-13	+1	-1	+7	+8	0.0
2032	30	MLB MLE	ATL	51%	377	345	74	14	2	6	24	94	5	5	1	214	275	319	594	104	273	25	6	268	68	-15	+1	-2	+7	+8	-0.1
2027	25	MLB CTX	ATL	30%	55	51	11	2	0	1	3	14	1	1	0	216	273	314	586	98	273	25	5	254	65	-2	+0	+0	+1	+1	0.0
2028	26	MLB CTX	ATL	44%	121	111	25	5	1	2	7	30	2	2	0	225	283	342	626	117	275	25	6	260	69	-5	+0	+0	+2	+3	0.1
2029	27	MLB CTX	ATL	49%	159	146	32	6	1	3	10	39	2	2	1	219	278	336	614	116	275	25	6	263	71	-6	+0	+0	+3	+3	0.1
2030	28	MLB CTX	ATL	52%	184	168	37	7	1	3	12	45	2	3	1	220	280	327	608	107	275	24	7	263	71	-6	+0	-0	+3	+4	0.1
2031	29	MLB CTX	ATL	51%	191	174	37	7	1	3	12	47	3	3	1	213	275	316	591	103	274	25	6	261	70	-7	+0	-1	+3	+4	0.0
2032	30	MLB CTX	ATL	51%	194	177	38	7	1	3	12	49	3	3	1	215	276	316	592	102	273	25	6	259	68	-7	+0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	904	827	180	34	5	15	56	224	13	14	4	218	278	325	603	108	278	25	6	261	61	-33	+1	-2	+16	+20	0.2
/ 162G	—	A+C		—	650	595	130	24	4	11	40	161	9	10	3	218	278	328	606	109	279	25	6	261	61	-24	+1	-2	+12	+14	0.1
Career	—	MLE		—	2333	2135	442	81	11	37	141	587	37	28	6	207	268	307	575	100	266	25	6	258	61	-70	+3	-4	+34	+41	0.4
/ 162G	—	MLE		—	650	595	123	23	3	10	39	164	10	8	2	207	267	306	573	99	266	25	6	258	61	-24	+1	-1	+12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Chris 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
#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 3 projected seasons	1.4	905	16	12	217	274	326	+16	+12	0.8	0.8
/162	664	11	9	+11.9	+8.8	0.6	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
Harry Owen (OGILVIE)	24	41	35	42	38	208/260/298	90	271	1	1	25%	5%	58	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕J.J. Franco 2016 · A	24	46	37→30	38→45	42	219/272/288	69	289	5	6	25%	6%	59	-1.6	206/269/263	57	283	2	5	25%	8%	53	-2.1	217/294/253	36	302	0	4	26%	10%	58	-0.6
✕Rocky Gale 2012 · AA	24	38→46	37→40	41→30	40	186/234/250	64	246	5	5	26%	5%	36	-3.3	204/236/261	57	250	4	4	19%	4%	39	-3.1	255/282/304	49	309	1	1	17%	3%	63	-0.6
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-0.8
✕Jeremy Dowdy 2014 · A	24	43	37→40	45→30	40	205/249/276	71	284	4	5	28%	6%	48	-2.5	223/277/300	77	281	5	4	21%	7%	64	-1.3	225/284/301	76	272	5	1	18%	7%	63	-0.5
✕Roberto Baldoquin 2018 · A	24	42	37→30	43→45	38	201/246/268	67	287	5	8	31%	5%	45	-2.7	214/261/289	75	300	4	7	29%	5%	55	-1.9	212/267/270	58	291	2	4	26%	5%	51	-1.1
✕Richard Mercado 2007 · A	24	40	37→45	45→30	41	195/242/273	78	270	4	5	29%	6%	45	-2.7	211/263/296	85	276	6	4	24%	6%	58	-1.7	210/263/287	77	267	6	0	23%	6%	55	-0.7
✕Chuck Moorman 2018 · A	24	41	38→40	38→30	37	200/234/279	80	266	6	3	27%	4%	43	-2.8	195/249/289	94	296	9	4	35%	6%	52	-2.2	141/206/215	74	259	6	0	45%	8%	17	-1.4
✕Joseph Rosa 2021 · A	24	43→44	38→40	44→50	42	205/270/286	81	290	6	9	30%	7%	59	-1.6	213/281/322	109	313	9	17	32%	7%	72	-0.7	204/281/306	103	305	8	21	33%	8%	66	-0.6
✕Alberto Triunfel 2018 · AA	24	41	38→40	40→45	39	200/237/277	77	256	6	7	24%	4%	43	-2.8	193/236/275	82	272	6	6	30%	5%	43	-2.8	174/219/252	77	251	5	4	31%	5%	29	-2.0
✕Jonathan Hee 2010 · A	24	45→44	37→40	41→40	44	212/258/282	70	257	4	5	19%	5%	53	-2.1	218/280/290	72	288	4	4	24%	6%	64	-1.3	218/287/287	69	296	3	3	25%	6%	63	-0.7
✕Angelo Castellano 2019 · A	24	42→44	37→45	45→50	42	203/251/274	71	261	5	11	24%	5%	49	-2.4	193/246/278	85	257	8	12	27%	6%	48	-2.5	201/270/309	108	245	12	14	23%	8%	62	-0.7
✕Jared Foster 2017 · A	24	44→46	42→45	44→50	39	217/252/322	105	273	9	9	24%	4%	59	-1.6	209/248/306	97	278	9	9	27%	4%	55	-2.0	185/219/265	80	245	9	9	28%	4%	31	-0.8
✕Trent Giambrone 2018 · A	24	40→41	42→45	41→55	39	205/249/301	96	268	12	7	28%	5%	54	-2.0	206/259/342	136	269	17	17	29%	6%	68	-1.0	183/244/312	129	241	16	19	31%	7%	54	-1.4
✕Dennis Ortega 2021 · A	24	40	39→45	46→45	41	197/243/276	79	257	7	6	26%	5%	46	-2.6	205/256/283	78	310	6	7	34%	6%	53	-2.1	195/246/261	66	302	5	5	35%	6%	40	-0.9
✕Osvaldo Abreu 2019 · AA	25	40→48	40	43→50	39	196/244/288	92	267	8	6	29%	5%	49	-2.4	198/253/289	91	302	7	8	35%	6%	53	-2.1	188/247/261	74	303	5	8	37%	6%	42	-1.2
✕Josh Adams 2013 · A	24	42→41	41→40	42→45	42	209/259/309	100	273	8	3	26%	6%	60	-1.6	192/240/283	91	261	8	5	28%	6%	47	-2.5	158/205/232	74	213	8	3	29%	5%	19	-1.5
✕Jose Rivera 2014 · A	24	43	37→40	44→45	42	205/253/275	70	257	4	6	21%	5%	49	-2.4	207/251/289	82	285	5	6	28%	4%	52	-2.2	198/231/277	79	281	3	1	30%	3%	39	-0.7
✕Jose Gil 2010 · AA	23	41	39→45	45	38	203/238/288	85	266	6	7	26%	4%	47	-2.6	217/267/335	118	268	12	7	23%	6%	69	-0.9	213/267/332	119	253	13	6	21%	6%	66	-0.5
✕Clayton Daniel 2019 · A	24	47	38→40	44→40	45	222/264/301	79	268	5	6	19%	5%	59	-1.7	231/288/311	80	280	5	5	18%	7%	71	-0.8	233/294/300	67	282	4	2	18%	7%	67	-0.4
✕Jose Gualdron 2011 · A	24	43	38→40	40→45	37	209/237/289	80	269	5	5	24%	3%	46	-2.6	209/248/299	90	283	6	6	27%	5%	53	-2.1	185/221/280	95	251	6	0	28%	4%	37	-0.9

Career Stats + Projections

Career Comps

Career Path Comps