Kenly Hunter — OGILVIE

Kenly HunterOF FCL Cardinals

Age 18 R/R 6'0" / 156 lbs ROK HR -14%BB -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION155 act + 14 ros · stats below = ROS only

showingROS

wRC+†72

AVG/OBP/SLG.154 / .214 / .154

PA14

HR0

K%21

BB%7

BABIP274

ISO82

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Tools · ContractCON 55 / POW 20

Toolsscout grade

CONTACT55

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED60

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2032
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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.5	$1M	+$0.0M
2036	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$5M		$5M	+$2M

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	17	ROK	DSL Cardinals	—	173	140	44	6	3	0	24	20	8	25	2	314	439	400	839	86	367	12	14	386	148	+10	+4	—	—	+4	1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Cardinals	—	173	150	36	5	2	0	15	30	8	25	2	240	341	300	641	60	291	17	9	281	76	-5	+4	—	—	+4	0.3
2025	17	ROK MLE	DSL Cardinals	—	173	150	36	5	2	0	15	30	8	25	2	240	341	300	641	60	300	17	9	281	76	—	—	—	—	—	—
2025	17	ROK RAW	DSL Cardinals	—	173	140	44	6	3	0	24	20	8	25	2	314	439	400	839	86	367	12	14	386	76	—	—	—	—	—	—
2025	17	ROK MLE	DSL Cardinals	—	173	148	36	5	2	0	15	30	8	25	2	243	341	304	645	61	291	17	9	281	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Cardinals	—	173	148	36	5	2	0	15	30	8	25	2	243	341	304	645	61	291	17	9	281	76	—	—	—	—	—	—
YTD	18	ROK MLE	STL	—	155	136	27	4	1	2	14	27	4	17	1	199	292	287	579	88	234	17	9	256	59	-7	+3	+0	-1	+3	-0.2
▸ 2026 season
YTD	18	ROK RAW	STL	—	155	128	34	6	2	2	22	19	4	17	1	266	390	391	780	125	299	12	14	356	59	—	—	—	—	—	—
ROS	18	ROK MLE	STL	0%	14	13	2	0	0	0	1	3	0	1	0	154	214	154	368		274	21	7	274	72	-0	+0	+0	-0	+0	-0.0
TOT	18	ROK MLE	STL	—	169	149	29	4	1	2	15	30	4	18	1	195	286	275	561	81	231	18	9	257	60	-8	+3	+0	-1	+4	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	STL	34%	231	206	47	8	2	3	19	49	4	7	1	228	306	330	636	102	279	21	8	285	79	-6	+1	+0	-1	+5	-0.1
2028	20	MLB MLE	STL	48%	361	322	74	13	3	5	30	76	6	10	1	230	307	335	643	106	282	21	8	293	84	-7	+2	+0	-2	+8	0.1
2029	21	MLB MLE	STL	54%	459	410	95	16	4	8	38	96	8	12	1	232	309	349	658	117	283	21	8	299	88	-6	+2	+0	-3	+10	0.3
2030	22	MLB MLE	STL	57%	528	469	111	19	4	10	44	109	10	14	2	237	315	358	674	122	284	21	8	302	91	-6	+2	+0	-3	+11	0.5
2031	23	MLB MLE	STL	58%	575	510	122	21	5	11	49	118	11	14	2	239	319	365	684	125	285	21	9	304	92	-5	+2	+0	-3	+12	0.6
2032	24	MLB MLE	STL	57%	606	539	129	22	5	12	51	124	11	15	2	239	318	365	683	126	286	20	8	306	93	-5	+2	+0	-4	+13	0.7
2033	25	MLB MLE	STL	57%	623	554	131	22	5	12	53	127	11	15	2	236	316	359	675	123	286	20	9	307	94	-4	+2	+0	-4	+13	0.8
2034	26	MLB MLE	STL	57%	631	560	133	23	5	12	54	129	12	16	2	237	318	361	679	123	286	20	9	307	94	-4	+2	+0	-4	+14	0.8
2035	27	MLB MLE	STL	55%	632	560	133	23	5	12	55	130	12	16	2	237	319	361	680	123	286	21	9	307	94	-4	+2	+0	-4	+14	0.8
2036	28	MLB MLE	STL	55%	628	556	131	22	5	12	55	130	12	15	2	236	318	358	676	122	285	21	9	306	94	-5	+2	-1	-4	+14	0.7
2037	29	MLB MLE	STL	53%	618	548	130	22	5	12	54	129	11	14	2	237	318	361	679	124	284	21	9	305	92	-6	+2	-1	-4	+13	0.5
2038	30	MLB MLE	STL	53%	607	538	126	21	5	11	53	128	11	14	2	234	316	353	669	119	283	21	9	302	90	-7	+2	-2	-4	+13	0.3
2039	31	MLB MLE	STL	57%	593	525	120	20	4	10	52	127	11	13	1	229	311	339	650	110	281	21	9	298	88	-9	+2	-3	-4	+13	-0.0
2027	19	MLB CTX	STL	34%	79	72	17	3	1	1	6	17	1	2	0	236	304	347	651	111	279	22	8	270	79	-2	+0	+0	-0	+2	-0.0
2028	20	MLB CTX	STL	48%	175	156	35	6	1	2	14	37	3	5	1	224	301	314	615	90	281	21	8	278	84	-3	+1	+0	-1	+4	0.0
2029	21	MLB CTX	STL	54%	249	221	52	9	2	4	21	52	5	7	1	235	316	348	664	113	283	21	8	283	88	-3	+1	+0	-1	+5	0.1
2030	22	MLB CTX	STL	57%	299	267	62	11	2	5	25	62	5	8	1	232	310	345	654	112	284	21	8	286	91	-3	+1	+0	-2	+6	0.3
2031	23	MLB CTX	STL	58%	331	294	70	12	3	6	28	68	6	8	1	238	317	361	678	122	284	21	8	288	92	-3	+1	+0	-2	+7	0.3
2032	24	MLB CTX	STL	57%	345	307	72	12	3	6	29	71	6	9	1	235	313	352	665	117	285	21	8	290	93	-3	+1	+0	-2	+7	0.4
2033	25	MLB CTX	STL	57%	353	313	74	13	3	6	30	72	7	9	1	236	317	355	672	118	285	20	8	291	94	-3	+1	+0	-2	+8	0.4
2034	26	MLB CTX	STL	57%	357	317	76	13	3	7	30	73	7	9	1	240	319	366	685	126	285	20	8	291	94	-2	+1	+0	-2	+8	0.5
2035	27	MLB CTX	STL	55%	351	311	74	13	3	6	30	72	7	9	1	238	319	357	676	119	285	21	9	291	94	-2	+1	+0	-2	+8	0.5
2036	28	MLB CTX	STL	55%	345	306	72	12	3	6	30	71	6	8	1	235	316	353	669	118	284	21	9	290	94	-3	+1	-0	-2	+7	0.4
2037	29	MLB CTX	STL	53%	330	292	69	12	3	6	29	69	6	8	1	236	318	360	678	123	284	21	9	288	92	-3	+1	-1	-2	+7	0.3
2038	30	MLB CTX	STL	53%	320	283	65	11	2	5	28	68	6	7	1	230	312	336	648	106	283	21	9	286	90	-4	+1	-1	-2	+7	0.1
2039	31	MLB CTX	STL	57%	335	297	67	11	2	5	29	72	6	7	1	226	307	327	634	101	280	21	9	282	88	-5	+1	-2	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3869	3436	805	138	31	65	329	804	71	96	12	234	314	349	663	115	286	21	9	287	91	-40	+14	-4	-23	+84	3.2
/ 162G	—	A+C		—	650	577	135	23	5	11	55	135	12	16	2	234	314	348	662	114	285	21	8	287	91	-7	+2	-1	-4	+14	0.5
Career	—	MLE		—	7279	6460	1520	257	59	130	623	1505	138	201	24	235	316	354	670	118	286	21	9	302	91	-75	+26	-7	-43	+154	5.7
/ 162G	—	MLE		—	650	577	136	23	5	12	56	134	12	18	2	236	316	355	672	120	286	21	9	302	91	-7	+2	-1	-4	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.0	4,015	73	99	236	312	356	-24	+0	5.7	5.0
/162	664	12	16	-4.0	+0.0	0.9	pk7: 4
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony 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
#6Dustin 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

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
Kenly Hunter (OGILVIE)	18	55	20	60	50	216/293/299	82	274	1	7	21%	8%	72	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕L.J. Hoes 2009 · A	19	50→60	37→40	56→50	52	233/301/304	71	285	4	11	19%	9%	74	-0.6	238/285/305	67	306	4	12	22%	6%	68	-1.0	274/333/360	86	328	5	15	17%	7%	95	+0.9
✕Lorenzo Cedrola 2016 · A	18	52→59	36→40	56→50	44	240/309/311	72	288	2	18	17%	5%	80	-0.2	232/275/306	74	280	3	15	18%	3%	65	-1.2	248/292/343	96	290	7	16	17%	3%	76	-0.3
✕Eury Pérez 2009 · A	19	47→57	37→40	54→65	47	223/297/296	73	290	5	20	23%	8%	72	-0.7	258/302/330	72	319	4	28	19%	5%	80	-0.2	292/329/379	87	355	3	37	18%	4%	98	+0.4
✕Angel Genao 2022 · A	18	45→55	37→45	59→50	55	210/300/285	75	272	4	16	22%	11%	70	-0.8	230/288/322	92	306	6	11	25%	7%	74	-0.6	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Carlos Arroyo 2019 · A	18	50	35→30	50	51	231/310/281	51	284	3	13	19%	8%	74	-0.6	221/279/288	67	257	4	15	15%	6%	63	-1.4	183/236/245	62	242	4	19	25%	4%	36	-1.1
✕Osleivis Basabe 2019 · A	18	51→61	38→45	49→50	48	238/291/324	86	288	3	12	18%	7%	74	-0.5	234/279/310	76	290	3	12	19%	5%	66	-1.1	270/316/373	102	329	4	17	18%	5%	92	+0.5
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
✕Johan Rojas 2019 · A	18	50→58	37→45	51→65	42	235/282/311	76	289	4	14	20%	4%	68	-1.0	225/276/321	96	287	5	15	22%	6%	69	-0.9	254/296/351	97	318	7	41	21%	5%	80	-0.1
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Rubén Tejada 2008 · A	18	50→60	38→40	51→50	50	237/313/315	78	287	5	13	18%	8%	82	-0.0	227/281/295	68	274	3	9	17%	6%	65	-1.2	245/328/327	82	296	5	2	17%	9%	81	-0.0
✕Cristofer Torin 2023 · A	18	50	36→40	53→50	57	230/320/300	70	279	2	19	17%	11%	82	-0.0	219/297/293	74	273	5	14	20%	9%	71	-0.8	230/298/322	93	274	8	10	18%	8%	75	-0.4
✕Jaison Chourio 2023 · A	18	47→51	38→40	54→55	58	220/315/307	86	277	4	15	20%	12%	81	-0.1	224/315/307	83	317	4	21	27%	12%	81	-0.1	223/313/312	89	304	7	28	26%	11%	80	-0.1
✕Dubal Baez 2012 · A	19	46	34→30	52→60	47	210/307/262	52	296	2	16	27%	8%	69	-0.9	218/295/268	50	299	1	19	25%	7%	65	-1.2	222/294/257	35	301	0	26	24%	7%	58	-0.5
✕Jorge Ruiz 2022 · A	18	46→51	37→40	52→50	47	216/289/292	77	265	4	17	19%	6%	68	-1.0	232/284/306	74	288	3	12	20%	5%	68	-1.0	225/273/295	70	286	4	13	21%	5%	59	-0.9
✕Jose Tabata 2007 · A	18	52→61	40→45	51→55	43	249/302/344	96	311	7	16	22%	6%	84	+0.2	258/307/344	86	320	6	14	20%	5%	86	+0.3	278/334/376	98	321	6	26	14%	7%	101	+1.2
✕Victor Tademo 2017 · A	18	47	37→40	54→55	47	222/279/304	82	268	3	19	18%	6%	66	-1.1	189/236/252	63	280	3	10	32%	5%	38	-3.2	154/194/192	38	243	2	6	36%	4%	7	-1.5
✕Jose Astudillo 2023 · A	19	44	37→45	54→55	47	208/265/283	75	252	3	14	19%	6%	56	-1.9	245/295/319	74	283	3	14	14%	5%	75	-0.5	286/329/371	85	315	6	22	11%	5%	96	+0.4
✕Leo Rivas 2016 · A	18	44→54	37→40	52→65	44	204/291/284	80	291	3	16	28%	8%	68	-1.0	208/298/282	74	292	3	17	27%	10%	69	-0.9	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Mikey Edie 2015 · A	18	48	37→30	47→50	45	227/308/301	74	283	5	13	20%	6%	78	-0.3	214/275/269	55	304	2	15	29%	5%	57	-1.8	194/246/238	44	286	1	12	31%	3%	36	-1.2
✕Luis Durango 2022 · A	19	49	38→30	54→65	43	230/293/302	72	309	5	25	26%	6%	72	-0.7	209/284/263	54	281	2	28	24%	7%	59	-1.6	251/307/296	45	331	0	54	22%	4%	70	-0.3

Career Stats + Projections

Career Comps

Career Path Comps