Henry Hunter — OGILVIE

Henry HunterC Daytona Tortugas

Age 23 L/R 6'2" / 217 lbs A HR +16%BB +6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION237 act + 29 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.120 / .241 / .160

PA29

HR0

K%41

BB%10

BABIP278

ISO40

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 25 / POW 41

Toolsscout grade

CONTACT25

scouting grade only

POWER41

scouting grade only

EYE74

scouting grade only

SPEED47

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	23	A MLE	CIN	—	237	193	24	8	1	3	33	122	8	0	3	124	278	223	501	98	304	51	14	233	44	-16	-1	+0	+4	+5	-0.8
▸ 2026 season
YTD	23	A RAW	CIN	—	237	182	32	11	1	4	44	86	8	0	3	176	359	313	672	137	301	36	19	317	44	—	—	—	—	—	—
ROS	23	A MLE	CIN	0%	29	25	3	1	0	0	3	12	1	0	0	120	241	160	401	40	274	41	10	257	60	-1	+0	+0	+1	+1	-0.0
TOT	23	A MLE	CIN	—	266	218	27	9	1	3	36	134	9	0	3	124	274	216	489	92	293	50	14	236	46	-17	-1	+0	+5	+6	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	CIN	30%	428	366	62	14	2	8	50	163	9	4	2	169	285	284	569	115	275	38	12	264	65	-18	+0	+0	+8	+9	-0.1
2028	25	MLB MLE	CIN	44%	490	422	74	17	2	9	56	181	9	4	3	175	285	289	575	114	277	37	11	269	68	-18	-0	+0	+9	+11	0.1
2029	26	MLB MLE	CIN	51%	520	446	80	18	2	10	59	188	10	4	3	179	289	296	585	117	278	36	11	272	70	-18	-0	+0	+9	+11	0.2
2030	27	MLB MLE	CIN	52%	520	446	80	18	2	10	59	187	10	4	3	179	289	296	585	117	278	36	11	274	71	-18	-0	+0	+9	+11	0.3
2031	28	MLB MLE	CIN	53%	520	446	80	18	2	10	59	187	10	4	3	179	289	296	585	117	277	36	11	273	71	-18	-0	-1	+9	+11	0.1
2032	29	MLB MLE	CIN	53%	520	445	80	18	2	10	60	188	10	4	2	180	291	297	588	117	276	36	12	271	69	-19	+0	-1	+9	+11	0.0
2033	30	MLB MLE	CIN	52%	520	445	78	17	2	10	60	190	10	4	2	175	287	290	577	115	274	37	12	268	68	-20	+0	-2	+9	+11	-0.2
2027	24	MLB CTX	CIN	30%	129	110	19	4	1	2	15	49	3	1	1	173	289	282	571	109	278	38	12	253	65	-5	-0	+0	+2	+3	-0.1
2028	25	MLB CTX	CIN	44%	216	185	33	8	1	4	25	80	4	2	1	178	290	297	587	119	280	37	12	260	68	-8	+0	+0	+4	+5	0.0
2029	26	MLB CTX	CIN	51%	264	227	41	9	1	6	30	95	5	2	1	181	290	308	598	128	281	36	11	263	70	-9	+0	+0	+5	+6	0.1
2030	27	MLB CTX	CIN	52%	273	235	44	10	1	6	31	98	5	2	1	187	295	315	610	128	281	36	11	265	71	-9	+0	+0	+5	+6	0.2
2031	28	MLB CTX	CIN	53%	277	238	44	10	1	6	32	100	5	2	1	185	295	311	605	126	280	36	12	264	71	-10	+0	-0	+5	+6	0.1
2032	29	MLB CTX	CIN	53%	273	235	43	10	1	6	31	99	5	2	1	183	292	311	602	128	279	36	11	262	69	-10	+0	-1	+5	+6	0.0
2033	30	MLB CTX	CIN	52%	271	233	41	9	1	5	31	99	5	2	1	176	286	288	574	112	278	37	11	259	68	-10	+0	-1	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1703	1463	265	60	7	35	195	620	32	13	7	181	291	303	595	122	282	36	11	261	69	-62	-0	-2	+30	+37	0.3
/ 162G	—	A+C		—	650	558	101	23	3	13	74	237	12	5	3	181	290	303	593	122	283	36	11	261	69	-24	-0	-1	+12	+14	0.1
Career	—	MLE		—	3547	3041	537	121	14	67	406	1296	69	28	18	177	288	292	580	115	277	37	11	270	69	-131	-2	-4	+63	+77	0.4
/ 162G	—	MLE		—	650	557	98	22	3	12	74	237	13	5	3	176	287	291	578	115	277	36	11	270	69	-24	-0	-1	+12	+14	0.1

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
#2Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#3Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#4Sandy 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
#5J.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
#6Ryan 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 4 projected seasons	3.0	2,022	38	18	180	285	296	+36	+16	1.6	1.6
/162	664	13	6	+11.9	+5.3	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
Henry Hunter (OGILVIE)	23	20→25	36→41	42→47	74	160/278/264	104	274	5	3	40%	12%	60	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Carlos Soto 2022 · A	23	40	45	45→30	48	200/279/321	122	272	12	3	30%	9%	71	-0.8	196/272/310	114	293	10	5	34%	9%	66	-1.1	142/232/239	97	223	7	0	37%	10%	34	-1.0
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	178/243/275	96	258	9	4	33%	7%	47	-2.6	210/262/307	97	279	8	3	26%	6%	61	-1.5	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Jose Jimenez 2010 · A	23	41	42→40	48→30	51	200/282/305	105	262	9	4	26%	10%	68	-1.0	210/271/306	96	268	9	3	24%	8%	64	-1.3	206/265/294	88	259	9	1	23%	7%	57	-1.0
✕Jacob Wetzel 2023 · A	23	39→34	44→45	49→50	45	195/276/305	110	270	12	10	31%	8%	67	-1.1	191/265/303	112	284	10	13	34%	8%	61	-1.5	178/252/295	117	273	8	16	35%	8%	53	-1.1
✕Michael Papierski 2019 · A	23	37→44	39→40	47→40	54	180/284/263	83	241	7	6	26%	11%	61	-1.5	192/281/278	86	270	8	4	29%	10%	63	-1.4	200/288/293	93	258	9	0	25%	10%	66	-0.6
✕Omar Martinez 2023 · A	22	42→38	44→45	42→40	47	204/290/318	114	288	12	5	31%	9%	75	-0.5	196/278/320	124	295	14	5	35%	10%	71	-0.8	181/265/299	118	275	15	3	37%	10%	59	-1.2
✕Connor Pavolony 2023 · A	23	39	42→40	48→40	48	183/285/284	101	297	9	6	38%	11%	66	-1.1	172/251/249	77	287	6	6	39%	8%	45	-2.7	135/210/192	57	223	4	2	38%	8%	14	-2.1
✕Zack Short 2018 · A	23	42→39	45→50	48→45	53	208/299/335	127	266	12	11	25%	10%	82	+0.0	198/288/331	133	281	13	8	31%	10%	77	-0.3	175/276/313	138	241	16	6	32%	11%	66	-0.7
✕Kyle Blumenthal 2006 · A	23	42	42→45	44→45	48	207/274/311	104	271	9	6	26%	8%	66	-1.1	203/269/322	119	277	11	6	29%	8%	67	-1.1	189/259/317	128	254	12	5	29%	8%	60	-0.7
✕Jose Brizuela 2016 · A	23	42→39	44→50	50→45	45	207/273/328	121	277	11	7	28%	8%	70	-0.8	210/268/335	125	296	14	5	32%	7%	70	-0.9	191/245/320	130	262	17	1	34%	6%	56	-0.8
✕Anthony Vilar 2023 · A	24	44→39	39→40	45→50	47	205/283/293	88	303	6	6	32%	10%	66	-1.1	193/284/291	98	307	9	8	36%	11%	66	-1.1	180/274/274	94	280	9	10	35%	11%	57	-1.1
✕John Whittleman 2010 · AA	23	41→43	43→50	41→45	51	202/285/315	113	271	10	4	28%	10%	72	-0.7	189/270/325	136	257	15	3	31%	10%	69	-0.9	174/260/322	148	233	18	1	32%	10%	63	-1.0
✕Sean Coughlin 2008 · A	23	40→37	41→50	43→30	41	194/262/294	99	288	9	3	34%	7%	58	-1.7	212/283/340	128	259	14	2	23%	8%	77	-0.3	209/282/337	128	246	15	1	21%	8%	76	-0.2
✕Cody Morissette 2023 · A	23	37→30	46→45	45→55	41	194/258/316	122	265	14	5	32%	7%	62	-1.4	182/235/295	113	244	13	11	30%	6%	49	-2.4	182/237/299	117	239	14	19	29%	6%	48	-1.4
✕Nick Plummer 2019 · A	23	36→46	40→45	43→50	45	168/271/258	91	294	8	8	41%	11%	55	-1.9	180/280/287	107	313	9	8	41%	10%	65	-1.2	185/283/303	118	301	12	10	38%	9%	67	-0.7
✕Darrien Miller 2023 · A	22	38→41	47→45	50→45	48	196/307/325	129	265	16	7	30%	10%	84	+0.2	187/296/284	97	258	8	5	29%	10%	71	-0.8	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Andrew Susac 2013 · A	23	42→38	43→50	45→30	45	204/279/315	111	288	11	4	31%	9%	70	-0.9	217/292/358	141	289	16	3	29%	9%	84	+0.2	217/296/371	154	282	18	1	28%	9%	86	+0.1
✕Caleb Hamilton 2018 · A	23	35	42→45	44→45	46	175/265/284	109	271	9	5	36%	10%	58	-1.7	184/252/283	99	266	8	7	31%	8%	52	-2.2	141/235/256	115	206	16	3	39%	10%	39	-1.0

Career Stats + Projections

Career Comps

Career Path Comps