Owen Henne

IF Palm Beach Cardinals

Age 22 R/R A HR -14%BB -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1526ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	21	ASTL	67	.218/.358/.509	4	1	84	—	.172/.284/.379
2027PROJMLE	22	MLBSTL	177	.229/.302/.387	5	2	94	0.1
2028PROJ34% MLB	23	MLBSTL	37	.231/.304/.386	1	1	96	0.1
2029PROJ46% MLB	24	MLBSTL	83	.233/.306/.389	2	1	97	0.2

Next 3 projected WAR 0.4Projected 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

K%79

Whiff%66

Z-Con%64

BB%49

Max EV46

Chase%40

Career WAR0.0 WAR median (P10 -0.3 / P90 3.8, comp-based) · star 1% · didn't stick 89%

CompsAaron Luna (age 22) · Agustín Ramírez (age 22) · Eddys Leonard (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 50 proj PA

wRC+†94

AVG/OBP/SLG.227 / .300 / .384

PA50

HR1

K%26

BB%8

ISO158

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · 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	+0.3	$0.8M	+$0.3M
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	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.6M

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	Palm Beach Cardinals	—	67	55	12	4	0	4	9	11	3	1	0	218	358	509	867	291	200	16	13	382	84	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Palm Beach Cardinals	—	67	58	10	3	0	3	6	15	3	1	0	172	284	379	663	207	170	22	9	292	84	—	—	—	—	—	—
2026	21	A MLE	Palm Beach Cardinals	—	67	58	10	3	0	3	6	15	3	1	0	172	284	379	663	207	175	22	9	292	84	—	—	—	—	—	—
2026	21	A RAW	Palm Beach Cardinals	—	67	55	12	4	0	4	9	11	3	1	0	218	358	509	867	291	200	16	13	382	84	—	—	—	—	—	—
2026	21	A MLE	Palm Beach Cardinals	—	67	58	10	3	0	3	6	15	3	1	0	172	284	379	663	207	170	22	9	292	84	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Palm Beach Cardinals	—	67	58	10	3	0	3	6	15	3	1	0	172	284	379	663	207	170	22	9	292	84	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	STL	0%	177	159	36	8	1	5	13	47	3	2	1	229	302	387	690	158	289	27	7	307	94	-1	+0	+0	+0	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	STL	34%	107	96	23	5	1	3	8	28	2	2	0	231	304	391	695	160	290	26	7	309	96	-1	+0	+0	+0	+2	0.2
2029	24	MLB MLE	STL	46%	180	161	37	8	1	5	14	47	3	3	1	233	306	393	700	161	291	26	8	311	97	-1	+0	+0	+0	+4	0.3
2030	25	MLB MLE	STL	52%	245	220	51	11	1	7	19	63	4	3	1	234	307	395	702	161	291	26	8	312	97	-1	+0	+0	+0	+5	0.5
2031	26	MLB MLE	STL	54%	300	268	64	14	2	9	24	76	5	4	1	234	307	395	702	161	291	25	8	312	98	-1	+0	+0	+0	+6	0.6
2032	27	MLB MLE	STL	54%	328	294	70	15	2	10	26	84	5	4	1	233	307	393	700	160	290	26	8	312	97	-1	+0	+0	+0	+7	0.6
2033	28	MLB MLE	STL	54%	342	307	71	15	2	10	27	88	5	3	1	232	305	388	693	157	289	26	8	309	95	-2	+0	-1	+0	+7	0.5
2034	29	MLB MLE	STL	53%	340	305	70	15	2	9	27	88	5	2	1	229	302	382	684	153	288	26	8	305	93	-3	+0	-1	+0	+7	0.3
2035	30	MLB MLE	STL	52%	334	300	69	15	2	9	26	88	5	1	1	226	298	374	672	148	286	26	8	300	89	-4	-0	-2	+0	+7	0.1
2028	23	MLB CTX	STL	34%	37	33	8	2	0	1	3	10	1	1	0	231	304	386	691	155	293	27	8	308	96	-0	+0	+0	+0	+1	0.1
2029	24	MLB CTX	STL	46%	83	76	17	4	0	2	6	21	1	1	0	233	306	389	695	156	293	25	7	310	97	-0	+0	+0	+0	+2	0.2
2030	25	MLB CTX	STL	52%	127	114	26	6	1	3	10	33	2	2	1	234	307	390	697	157	293	26	8	311	97	-0	+0	+0	+0	+3	0.2
2031	26	MLB CTX	STL	54%	163	146	34	8	1	4	13	42	3	2	1	234	307	390	698	157	293	26	8	311	98	-0	+0	+0	+0	+4	0.3
2032	27	MLB CTX	STL	54%	178	159	37	8	1	5	14	45	3	2	1	233	307	389	696	155	293	25	8	310	97	-1	+0	+0	+0	+4	0.3
2033	28	MLB CTX	STL	54%	186	166	39	9	1	5	15	48	3	2	1	232	305	384	689	152	292	26	8	307	95	-1	+0	-0	+0	+4	0.3
2034	29	MLB CTX	STL	53%	181	162	37	8	1	5	14	47	3	1	0	229	302	378	680	149	290	26	8	304	93	-2	+0	-1	+0	+4	0.2
2035	30	MLB CTX	STL	52%	175	156	35	8	1	4	14	46	3	0	0	226	298	370	669	144	288	26	8	299	89	-2	+0	-1	+0	+4	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1130	1012	233	53	6	29	89	292	19	11	4	230	304	380	685	150	293	26	8	307	95	-7	+1	-2	+0	+24	1.6
/ 162G	—	A+C		—	650	582	133	30	3	17	51	168	11	6	2	229	302	378	680	149	290	26	8	307	95	-4	+0	-1	+0	+14	0.9
Career	—	MLE		—	2293	2054	474	103	13	66	181	590	38	24	7	231	305	390	695	159	289	26	8	308	95	-13	+2	-4	+0	+48	3.3
/ 162G	—	MLE		—	650	582	135	29	4	19	51	167	11	7	2	232	306	393	699	162	290	26	8	308	95	-4	+1	-1	+0	+14	1.0

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 APalm Beach Cardinals · 67 PAwOBA .372 → .292 (−80)K% 16.4% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.42%	÷1.000	×1.360	—	—	22.33%
BB% (unintentional) /PA	13.43%	÷1.000	×0.690	—	—	9.27%
HBP% /PA	4.48%	—	×0.780	—	—	3.49%
Singles /BIP	9.09%	÷1.000	×0.920	×0.993	—	8.30%
Doubles /BIP	9.09%	÷1.000	×0.830	×0.993	—	7.49%
Triples /BIP	0.00%	÷1.000	×0.910	×0.993	—	0.00%
Home runs /BIP	9.09%	÷1.000	×0.800	—	—	7.27%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .372 → .292; ISO .291 → .232; BABIP .200 → .170. 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
#1Ian Stewartlast yr '14 career totals — 6 seasons, 1,646 PA	2.5	1,646	60	17	230	317	416	+6	+2	6.2	6.2
/162	664	24	7	+2.4	+0.9	2.5	pk7: 6
#2Ed Spiezio'64-'72 * career totals — 7 seasons, 1,716 PA	2.6	1,716	39	16	238*	304*	389*	+5	+8	4.7	4.9
/162	664	15	6	+1.9	+3.3	1.8	pk7: 5
#3Dustin 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
#4Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.8	1,178	33	12	232	302	390	+0	+0	2.7	2.6
/162	664	19	7	+0.0	+0.0	1.5	pk7: 2
#5Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#6Jeff Branson'92-'01 * career totals — 7 seasons, 1,720 PA	2.6	1,720	34	9	236*	291*	373*	+9	-3	0.8	1.8
/162	664	13	3	+3.4	-1.1	0.3	pk7: 3

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
Owen Henne (OGILVIE)	22	—	—	—	—	227/300/384	157	289	1	1	26%	8%	94	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron Luna 2009 · A	22	42→46	51→50	51→45	45	211/318/370	159	292	18	7	32%	9%	99	+1.2	219/326/372	153	274	16	7	25%	8%	101	+1.4	219/329/369	150	272	17	7	24%	9%	99	+0.8
✕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
✕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
●Jonathon Long 2024 · A	22	44→54	54→45	49→40	44	232/304/405	174	289	22	7	28%	7%	100	+1.3	253/330/394	141	325	16	3	25%	9%	106	+1.8	257/335/390	133	331	14	2	25%	9%	104	+1.5
✕Rylan Bannon 2018 · A	22	45→47	50	51→50	44	233/296/384	151	285	19	8	25%	7%	92	+0.7	222/293/367	145	291	16	5	28%	8%	86	+0.3	194/292/330	136	256	16	12	29%	11%	76	-0.3
✕Phillip Ervin 2014 · A	22	47→51	48→50	54→55	46	236/300/377	141	294	16	14	25%	8%	91	+0.7	207/275/323	116	264	10	20	24%	7%	70	-0.9	240/304/385	144	304	14	21	24%	7%	93	+0.6
✕John Mayberry Jr. 2007 · A	23	42→48	49→55	49→50	43	214/279/364	150	282	17	7	30%	7%	81	-0.1	207/261/376	169	259	21	9	28%	6%	77	-0.3	240/295/408	167	283	19	7	22%	7%	98	+0.8
●Gordon Beckham 2009 · A	22	47→56	48→50	46→45	45	240/288/377	137	278	16	7	20%	6%	86	+0.3	255/318/402	147	294	14	7	18%	7%	104	+1.6	249/316/387	138	289	13	6	18%	7%	100	+1.2
✕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
●Vinnie Catricala 2011 · A	22	48→58	47→55	46→45	42	239/296/378	139	301	15	6	25%	6%	90	+0.6	241/294/380	139	295	14	8	23%	6%	90	+0.6	232/284/361	130	282	14	7	22%	5%	79	-0.2
✕Steve Selsky 2012 · A	23	44→52	49→50	48→45	45	224/289/371	147	290	17	7	28%	8%	86	+0.3	237/296/363	126	316	12	9	28%	6%	86	+0.3	253/321/358	105	358	9	4	29%	7%	93	+0.4
✕Michael Choice 2012 · A	22	45→55	53→50	44→40	42	230/296/404	174	311	22	7	32%	7%	97	+1.1	237/303/367	130	314	15	5	28%	7%	91	+0.6	233/304/351	118	304	14	3	26%	7%	86	+0.2
✕Noelvi Marte 2023 · A	21	46→55	48→50	49→55	47	231/302/370	139	297	17	16	27%	8%	91	+0.6	241/295/373	132	307	14	19	25%	6%	88	+0.5	247/296/385	137	310	14	21	24%	5%	91	+0.4
●Heriberto Hernández 2021 · A	21	45→48	49→60	46→50	47	220/300/377	156	305	15	6	31%	9%	92	+0.7	206/285/353	147	323	17	6	38%	9%	81	-0.1	222/305/421	199	281	26	11	30%	10%	104	+1.3
✕Carter Kieboom 2019 · AA	21	49→55	48→50	47→45	44	243/300/382	139	311	15	7	26%	7%	93	+0.8	233/317/359	126	306	14	5	27%	9%	94	+0.9	221/320/338	116	289	14	3	26%	10%	90	+0.3
✕Matt Vierling 2019 · A	22	47→55	46→50	43→50	38	235/279/367	132	301	13	9	26%	4%	81	-0.1	208/263/306	98	279	9	14	27%	6%	61	-1.5	254/314/393	139	307	13	10	21%	7%	100	+1.2
✕Charles McAdoo 2024 · A	22	49→47	49→50	50→55	48	243/314/390	147	311	17	12	27%	9%	99	+1.3	223/285/364	141	308	16	19	31%	7%	82	+0.0	218/283/359	140	297	16	21	31%	7%	78	-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
✕Chris Nelson 2008 · A	22	46→56	47→50	53→50	42	231/279/375	144	285	13	13	24%	6%	83	+0.1	231/285/360	129	287	12	12	23%	6%	82	-0.0	260/302/395	135	314	13	7	21%	5%	95	+0.7
✕Tyler Locklear 2023 · A	22	45→53	52→50	48→50	37	232/290/395	163	305	21	6	31%	5%	93	+0.8	239/320/396	157	316	17	12	28%	8%	104	+1.6	240/325/394	154	321	17	14	28%	8%	103	+1.3

Owen Henne

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps