Kenny Fenelon

OF ACL Brewers

Age 19 R/R 6'0" / 184 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#2076ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Brewers G…	219	.206/.366/.347	5	18	28	—	.117/.254/.178
2026	18	ROKMIL	222	.227/.387/.438	7	23	40	—	.131/.252/.257
2027PROJMLE	19	MLBMIL	332	.191/.274/.299	6	8	64	-0.3
2028PROJ34% MLB	20	MLBMIL	57	.197/.280/.320	1	1	71	-0.1
2029PROJ48% MLB	21	MLBMIL	135	.203/.286/.338	3	3	78	-0.2

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$2M+2

Skills · percentileMiLB Statcast 2026 Rk

ISO86

Speed80

BB%71

wRC+60

wOBA53

Chase%16

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 96%

CompsJoshua Báez (age 19) · Carlos Jimenez (age 19) · Alexander Canario (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 118 proj PA

wRC+†64

AVG/OBP/SLG.190 / .272 / .297

PA118

HR2

K%33

BB%9

ISO108

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Contract

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
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	—	—	—
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$2M	+0.2	$0.5M	+$0.0M (cut)
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$2M		$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. 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)
2025	17	ROK	DSL Brewers Gold	—	219	170	35	5	2	5	33	52	10	18	10	206	366	347	713	141	252	24	15	325	28	—	—	—	—	—	—
2026	18	ROK	ACL Brewers	—	222	176	40	12	2	7	41	78	5	23	8	227	387	438	825	210	363	35	18	372	40	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Brewers Gold	—	219	180	21	3	1	2	23	67	10	18	10	117	254	178	431	61	156	31	11	210	28	—	—	—	—	—	—
2026	18	ROK MLE	ACL Brewers	—	222	191	25	7	1	5	26	112	5	23	8	131	252	257	509	126	266	50	12	227	40	—	—	—	—	—	—
2025	17	ROK MLE	DSL Brewers Gold	—	219	180	21	3	1	2	23	67	10	18	10	117	254	178	431	61	162	31	11	210	28	—	—	—	—	—	—
2025	17	ROK RAW	DSL Brewers Gold	—	219	170	35	5	2	5	33	52	10	18	10	206	366	347	713	141	252	24	15	325	28	—	—	—	—	—	—
2026	18	ROK MLE	ACL Brewers	—	222	191	25	7	1	5	26	112	5	23	8	131	252	257	509	126	270	50	12	227	40	—	—	—	—	—	—
2026	18	ROK RAW	ACL Brewers	—	222	176	40	12	2	7	41	78	5	23	8	227	387	438	825	210	363	35	18	372	40	—	—	—	—	—	—
2025	17	ROK MLE	DSL Brewers Gold	—	219	184	21	3	1	2	23	67	10	18	10	114	254	174	427	60	156	31	11	210	28	—	—	—	—	—	—
2026	18	ROK MLE	ACL Brewers	—	222	189	25	7	1	5	26	112	5	23	8	132	252	259	512	127	266	50	12	227	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Brewers Gold	—	219	184	21	3	1	2	23	67	10	18	10	114	254	174	427	60	156	31	11	210	28	—	—	—	—	—	—
2026	18	ROK MLE	ACL Brewers	—	222	189	25	7	1	5	26	112	5	23	8	132	252	259	512	127	266	50	12	227	40	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	MIL	0%	332	295	56	10	2	6	29	108	5	8	2	191	274	299	573	108	276	33	9	262	64	-14	+1	-1	-2	+7	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	MIL	34%	166	148	29	5	1	4	15	53	2	4	1	199	282	321	603	122	279	32	9	274	71	-6	+0	-1	-1	+4	-0.3
2029	21	MLB MLE	MIL	48%	278	247	51	9	2	7	25	87	4	7	2	205	288	338	626	133	281	31	9	283	78	-7	+1	-1	-2	+6	-0.3
2030	22	MLB MLE	MIL	54%	382	339	71	13	2	10	34	117	6	10	3	210	293	352	645	142	283	31	9	290	83	-8	+1	-1	-2	+8	-0.2
2031	23	MLB MLE	MIL	57%	448	398	85	15	3	13	40	135	7	11	3	214	296	363	659	149	284	30	9	296	86	-7	+1	-0	-3	+10	0.1
2032	24	MLB MLE	MIL	57%	489	435	95	17	3	15	44	145	7	12	3	217	299	371	671	154	286	30	9	300	89	-6	+1	+0	-3	+11	0.3
2033	25	MLB MLE	MIL	57%	515	456	100	18	3	16	46	152	8	13	4	218	300	376	676	157	286	30	9	302	91	-6	+1	+0	-3	+11	0.4
2034	26	MLB MLE	MIL	56%	528	468	103	18	3	17	47	156	8	13	4	219	300	378	679	159	286	30	9	303	91	-5	+1	+0	-3	+11	0.4
2035	27	MLB MLE	MIL	55%	530	470	103	18	3	17	47	157	8	13	4	217	299	375	675	158	285	30	9	302	90	-6	+1	+0	-3	+11	0.4
2036	28	MLB MLE	MIL	55%	526	467	101	18	3	16	47	157	7	12	4	216	297	370	668	155	284	30	9	299	89	-7	+1	-0	-3	+11	0.2
2037	29	MLB MLE	MIL	53%	515	457	97	17	3	15	46	156	7	11	4	213	294	364	659	151	282	30	9	295	86	-9	+1	-1	-3	+11	-0.1
2028	20	MLB CTX	MIL	34%	57	51	10	2	0	1	5	18	1	1	0	197	280	320	600	123	274	32	9	273	71	-2	+0	-0	-0	+1	-0.1
2029	21	MLB CTX	MIL	48%	135	120	24	4	1	3	12	42	2	3	1	203	286	338	624	135	277	31	9	282	78	-4	+0	-0	-1	+3	-0.2
2030	22	MLB CTX	MIL	54%	207	184	38	6	1	6	18	63	3	5	1	208	291	352	643	144	278	30	9	290	83	-4	+1	-0	-1	+4	-0.1
2031	23	MLB CTX	MIL	57%	254	225	49	8	2	8	23	76	4	6	2	212	295	363	658	151	280	30	9	295	86	-4	+0	-0	-2	+6	0.0
2032	24	MLB CTX	MIL	57%	276	245	54	9	2	9	25	82	4	7	2	216	298	372	670	156	281	30	9	300	89	-3	+1	+0	-2	+6	0.2
2033	25	MLB CTX	MIL	57%	291	259	55	9	2	9	26	86	4	7	2	217	299	376	675	160	282	30	9	302	91	-3	+1	+0	-2	+6	0.2
2034	26	MLB CTX	MIL	56%	298	265	57	9	2	10	27	88	4	7	2	217	299	379	678	162	281	30	9	303	91	-3	+1	+0	-2	+6	0.2
2035	27	MLB CTX	MIL	55%	294	262	57	9	2	10	26	87	4	7	2	216	298	376	674	160	281	30	9	302	90	-3	+1	+0	-2	+6	0.2
2036	28	MLB CTX	MIL	55%	289	257	55	9	2	9	26	86	4	6	2	214	296	371	667	157	280	30	9	299	89	-4	+0	-0	-2	+6	0.1
2037	29	MLB CTX	MIL	53%	275	245	52	8	2	9	24	83	4	6	2	212	293	365	658	153	278	30	9	295	86	-5	+0	-1	-2	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2376	2113	451	73	16	74	212	711	34	55	16	213	295	368	664	155	282	30	9	297	82	-35	+5	-1	-14	+51	0.6
/ 162G	—	A+C		—	650	578	123	20	4	20	58	195	9	15	4	213	294	365	659	152	282	30	9	297	82	-10	+1	-0	-4	+14	0.2
Career	—	MLE		—	4936	4361	902	162	29	139	450	1532	81	150	51	207	293	353	646	146	281	31	9	289	82	-72	+9	-2	-27	+97	0.5
/ 162G	—	MLE		—	650	574	118	21	4	18	59	202	11	20	7	206	292	350	642	145	279	31	9	289	82	-10	+1	-0	-4	+14	0.1

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 ROKACL Brewers · 222 PAwOBA .364 → .227 (−137)K% 35.1% → 50.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.14%	÷1.000	×1.440	—	—	50.59%
BB% (unintentional) /PA	18.47%	÷1.000	×0.620	—	×1.008	11.54%
HBP% /PA	2.25%	—	×0.720	—	×1.008	1.63%
Singles /BIP	19.39%	÷1.000	×0.820	×0.950	×1.008	15.22%
Doubles /BIP	12.24%	÷1.000	×0.720	×0.950	×1.008	8.44%
Triples /BIP	2.04%	÷1.000	×0.720	×0.950	×1.008	1.41%
Home runs /BIP	7.14%	÷1.000	×0.780	—	×1.008	5.61%

Factors used: level-wide ROK 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .364 → .227; ISO .210 → .128; BABIP .363 → .266. 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).

2025 DSLDSL Brewers Gold · 219 PAwOBA .327 → .210 (−117)K% 23.7% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.74%	÷0.947	×1.220	—	—	30.58%
BB% (unintentional) /PA	15.07%	÷1.021	×0.700	—	×1.008	10.41%
HBP% /PA	4.57%	—	×0.700	—	×1.008	3.22%
Singles /BIP	19.49%	÷1.006	×0.680	×0.950	×1.008	12.61%
Doubles /BIP	4.24%	÷0.958	×0.600	×0.950	×1.008	2.54%
Triples /BIP	1.69%	÷1.121	×0.600	×0.950	×1.008	0.87%
Home runs /BIP	4.24%	÷1.040	×0.470	—	×1.008	1.93%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 101, 2B 92, 3B 124, K 89, BB 104 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .327 → .210; ISO .141 → .072; BABIP .252 → .156. 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
#1Franklin Stubbs'84-'95 * career totals — 9 seasons, 2,899 PA	4.4	2,899	104	74	229*	301*	428*	-43	+18	6.0	6.2
/162	664	24	17	-9.8	+4.2	1.4	pk7: 6
#2Michael 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
#3Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#4Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#5Ricky Ledee'98-'07 * career totals — 9 seasons, 2,307 PA	3.5	2,307	63	29	233*	311*	398*	-19	-6	2.4	3.1
/162	664	18	8	-5.5	-1.8	0.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.8	2,494	73	60	215	293	365	-15	+0	2.0	2.1
/162	664	19	16	-4.0	+0.0	0.5	pk7: 2
#6Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	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
Kenny Fenelon (OGILVIE)	19	—	—	—	—	190/272/297	107	276	2	3	33%	9%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Joshua Báez 2022 · A	19	40→48	41→55	54→60	39	186/260/283	97	311	8	10	40%	8%	55	-1.9	181/265/292	111	349	10	21	47%	8%	59	-1.6	211/281/393	182	287	24	33	34%	7%	88	+0.3
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Alexander Canario 2019 · A	19	39→36	41→60	47→50	46	193/265/292	98	258	9	12	28%	8%	59	-1.7	209/266/356	147	291	17	11	33%	7%	74	-0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/270/292	91	260	7	13	25%	8%	60	-1.6	205/256/277	72	300	3	25	30%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Dalton Pompey 2012 · A	19	39→49	41→45	56→55	45	194/267/288	94	272	9	17	30%	8%	59	-1.6	221/287/321	100	309	7	21	28%	8%	73	-0.6	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Sean Henry 2006 · A	20	42→52	43→50	55	42	204/269/312	108	298	11	15	34%	8%	65	-1.2	229/283/355	126	291	11	19	24%	6%	80	-0.2	251/305/379	128	300	11	17	19%	6%	91	+0.6
✕Echedry Vargas 2024 · A	19	40→47	44→50	53→55	40	202/260/326	123	269	11	15	29%	6%	65	-1.2	215/258/351	136	288	15	14	30%	4%	70	-0.9	218/259/369	151	284	19	13	30%	4%	72	-0.5
✕Che-Hsuan Lin 2008 · A	19	41→51	42→40	56→55	40	200/253/311	111	279	8	14	30%	6%	58	-1.7	229/294/317	88	284	6	19	20%	7%	75	-0.5	243/314/319	76	293	5	22	18%	8%	80	-0.1
✕Delino DeShields 2012 · A	19	41→51	40→45	50→65	42	201/260/289	88	279	8	16	30%	6%	56	-1.9	234/302/339	105	318	8	38	27%	8%	83	+0.1	239/313/347	108	322	9	47	26%	8%	87	+0.3
✕Noelvi Marte 2021 · A	19	41→51	41→50	49→55	45	201/256/299	98	254	8	12	24%	7%	56	-1.9	233/299/372	139	304	15	16	27%	8%	90	+0.6	241/309/383	142	307	16	19	26%	8%	94	+0.7
✕Eguy Rosario 2019 · A	19	42→52	40→55	48→55	39	205/259/302	97	291	7	13	31%	6%	59	-1.7	227/277/345	118	314	10	16	29%	6%	74	-0.5	240/303/388	148	312	14	21	26%	7%	92	+0.5
✕Michael Hermosillo 2015 · A	20	42→49	39→55	51→55	43	201/272/293	93	294	6	11	32%	8%	61	-1.5	221/297/300	79	293	5	17	24%	8%	73	-0.6	234/309/359	124	316	12	20	28%	7%	88	+0.3
✕Estevan Florial 2017 · A	19	39→49	42→50	52→60	40	192/255/297	106	289	10	11	35%	7%	56	-1.9	217/275/334	117	369	10	13	40%	7%	72	-0.7	214/285/371	157	317	17	29	36%	8%	82	+0.0
✕Yunior Garcia 2019 · A	18	35→45	40→45	52→30	43	176/241/269	92	235	7	10	27%	7%	45	-2.7	192/242/291	99	291	9	7	36%	5%	49	-2.4	228/278/346	118	323	12	2	32%	5%	72	-0.3
●Esmerlyn Valdez 2022 · A	18	40→44	41→60	48→30	43	194/269/292	98	274	9	7	31%	7%	61	-1.5	193/270/310	117	291	12	5	35%	8%	65	-1.2	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Gilberto Celestino 2018 · A	19	43→53	39→45	53→55	43	206/263/292	86	288	6	12	30%	7%	57	-1.8	220/271/312	92	287	7	10	24%	6%	65	-1.2	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Nehomar Ochoa Jr. 2024 · A	19	43	45→55	50→60	42	213/275/336	123	276	12	8	27%	6%	73	-0.6	185/249/285	100	298	11	14	39%	6%	51	-2.2	174/237/278	104	280	12	21	40%	6%	43	-1.2
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Jose Gerardo 2023 · A	18	41	44→45	55	46	197/292/317	120	302	12	16	36%	10%	76	-0.4	154/245/235	81	386	7	20	56%	9%	40	-3.1	84/188/138	54	279	5	29	64%	9%	-4	-1.8

Kenny Fenelon

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps