Jayden Felicia — OGILVIE

Jayden FeliciaSS DSL Marlins

Age 20 S/R 6'0" / 150 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 137 proj PA

wRC+†59

AVG/OBP/SLG.192 / .282 / .259

PA11

HR0

K%28

BB%10

ISO67

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE60

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	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$2M	—	—	—
Totals		$3M		$4M	+$1M

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)
2023	17	ROK	DSL Marlins	—	184	139	31	7	1	0	42	45	2	8	5	223	410	288	698	65	326	24	23	338	115	+3	-0	—	—	+4	0.7
2024	18	ROK	DSL Miami	—	97	82	15	3	0	0	13	18	2	8	1	183	309	220	529	37	234	19	13	260	62	-4	+1	—	—	+2	-0.1
2025	19	ROK	DSL Marlins	—	164	124	30	6	1	1	39	37	1	12	3	242	427	331	757	89	337	23	24	361	131	+6	+1	—	—	+4	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Marlins	—	184	155	26	5	1	0	26	64	2	8	5	168	295	213	508	45	277	35	14	241	49	-11	-0	—	—	+4	-0.8
2024	18	ROK MLE	DSL Miami	—	97	87	12	2	0	0	8	26	2	8	1	138	227	161	388	23	181	27	8	176	5	-11	+1	—	—	+2	-0.8
2025	19	ROK MLE	DSL Marlins	—	164	140	24	4	1	1	23	55	1	12	3	171	293	236	528	64	273	34	14	244	51	-10	+1	—	—	+4	-0.5
2023	17	ROK MLE	DSL Marlins	—	184	155	26	5	1	0	26	64	2	8	5	168	295	213	508	45	283	35	14	241	49	—	—	—	—	—	—
2023	17	ROK RAW	DSL Marlins	—	184	139	31	7	1	0	42	45	2	8	5	223	410	288	698	65	326	24	23	338	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	97	87	12	2	0	0	8	26	2	8	1	138	227	161	388	23	197	27	8	176	5	—	—	—	—	—	—
2024	18	ROK RAW	DSL Miami	—	97	82	15	3	0	0	13	18	2	8	1	183	309	220	529	37	234	19	13	260	5	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	164	140	24	4	1	1	23	55	1	12	3	171	293	236	528	64	274	34	14	244	51	—	—	—	—	—	—
2025	19	ROK RAW	DSL Marlins	—	164	124	30	6	1	1	39	37	1	12	3	242	427	331	757	89	337	23	24	361	51	—	—	—	—	—	—
2023	17	ROK MLE	DSL Marlins	—	184	154	26	5	1	0	26	64	2	8	5	169	295	214	509	45	277	35	14	241	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	97	87	12	2	0	0	8	26	2	8	1	138	227	161	388	23	181	27	8	176	5	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	164	139	24	4	1	1	23	55	1	12	3	173	293	237	530	65	273	34	14	244	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Marlins	—	184	154	26	5	1	0	26	64	2	8	5	169	295	214	509	45	277	35	14	241	49	—	—	—	—	—	—
2024	18	ROK MLE	DSL Miami	—	97	87	12	2	0	0	8	26	2	8	1	138	227	161	388	23	181	27	8	176	5	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	164	139	24	4	1	1	23	55	1	12	3	173	293	237	530	65	273	34	14	244	51	—	—	—	—	—	—
▸ 2026 season
2026	20	MLB MLE	MIA	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		272	27	9	255	59	-1	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	MIA	34%	218	192	38	7	1	2	22	58	2	5	1	198	287	276	563	78	275	27	10	268	68	-8	+1	+0	+2	+5	-0.1
2028	22	MLB MLE	MIA	48%	340	300	63	12	2	5	34	89	3	8	2	210	297	313	610	103	278	26	10	277	74	-11	+1	+0	+4	+7	0.1
2029	23	MLB MLE	MIA	54%	422	373	80	15	2	7	42	109	4	10	3	214	301	322	622	107	279	26	10	283	78	-11	+1	+0	+5	+9	0.3
2030	24	MLB MLE	MIA	55%	477	421	91	17	3	8	48	122	5	12	3	216	304	328	632	112	281	26	10	287	80	-11	+1	+0	+5	+10	0.6
2031	25	MLB MLE	MIA	56%	508	447	97	18	3	9	51	130	5	12	3	217	304	331	635	114	281	26	10	288	81	-11	+1	+0	+5	+11	0.7
2032	26	MLB MLE	MIA	56%	526	462	100	18	3	10	53	134	6	13	3	216	305	333	639	117	281	25	10	289	82	-11	+1	+0	+6	+11	0.7
2033	27	MLB MLE	MIA	60%	532	467	102	19	3	10	54	136	6	13	3	218	307	336	644	118	280	26	10	290	82	-11	+1	+0	+6	+12	0.7
2034	28	MLB MLE	MIA	62%	532	466	101	18	3	10	55	137	6	13	3	217	307	333	640	116	280	26	10	289	81	-12	+1	-1	+6	+12	0.6
2035	29	MLB MLE	MIA	63%	524	460	98	18	3	9	54	136	5	12	3	213	303	324	626	111	279	26	10	287	80	-12	+1	-1	+6	+11	0.5
2036	30	MLB MLE	MIA	63%	516	453	96	17	3	9	53	135	5	12	3	212	301	322	624	110	279	26	10	284	79	-13	+1	-2	+6	+11	0.3
2037	31	MLB MLE	MIA	65%	503	441	92	17	2	8	52	133	5	11	3	209	299	311	610	102	276	26	10	281	76	-14	+1	-3	+5	+11	0.0
2027	21	MLB CTX	MIA	34%	75	66	13	2	0	1	8	20	1	2	0	197	293	273	566	76	268	27	11	255	68	-3	+0	+0	+1	+2	-0.0
2028	22	MLB CTX	MIA	48%	165	145	29	5	1	2	17	43	2	4	1	200	293	290	582	90	270	26	10	264	74	-5	+0	+0	+2	+4	0.1
2029	23	MLB CTX	MIA	54%	229	202	41	7	1	3	23	59	2	5	1	203	291	292	583	89	272	26	10	269	78	-6	+1	+0	+2	+5	0.2
2030	24	MLB CTX	MIA	55%	264	233	48	9	1	4	26	68	3	6	2	206	294	305	599	99	273	26	10	273	80	-6	+0	+0	+3	+6	0.3
2031	25	MLB CTX	MIA	56%	284	250	53	9	2	5	29	73	3	7	2	212	301	324	625	112	273	26	10	274	81	-6	+1	+0	+3	+6	0.4
2032	26	MLB CTX	MIA	56%	296	261	55	10	2	5	30	76	3	7	2	211	299	322	621	111	273	26	10	275	82	-6	+1	+0	+3	+6	0.4
2033	27	MLB CTX	MIA	60%	317	279	58	10	2	5	32	81	3	8	2	208	296	312	608	104	273	26	10	275	82	-7	+1	+0	+3	+7	0.4
2034	28	MLB CTX	MIA	62%	328	288	61	11	2	6	34	85	3	8	2	212	302	326	628	115	273	26	10	274	81	-7	+1	-0	+4	+7	0.4
2035	29	MLB CTX	MIA	63%	329	289	60	11	2	5	34	85	3	8	2	208	298	311	609	104	272	26	10	273	80	-8	+1	-1	+4	+7	0.3
2036	30	MLB CTX	MIA	63%	327	287	59	10	2	5	34	86	3	7	2	206	296	307	603	101	271	26	10	270	79	-8	+1	-1	+4	+7	0.2
2037	31	MLB CTX	MIA	65%	327	287	59	10	2	5	34	87	3	7	2	206	296	307	603	101	269	27	10	267	76	-9	+1	-2	+4	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2941	2587	536	94	17	46	301	763	29	69	18	207	297	310	607	103	273	26	10	271	76	-72	+7	-4	+32	+64	2.6
/ 162G	—	A+C		—	650	572	119	21	4	10	67	169	6	15	4	208	298	311	609	103	275	26	10	271	76	-16	+1	-1	+7	+14	0.6
Career	—	MLE		—	5554	4874	1021	187	30	88	576	1467	57	149	39	209	300	314	615	105	279	26	10	281	76	-127	+12	-7	+55	+111	4.4
/ 162G	—	MLE		—	650	570	120	22	4	10	67	172	7	17	5	211	301	316	617	105	281	26	10	281	76	-16	+2	-1	+7	+14	0.6

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
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Ronny 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
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.6	3,078	51	72	214	299	321	+33	+21	4.7	4.3
/162	664	11	16	+7.1	+4.5	1.0	pk7: 4
#6Adam 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

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
Jayden Felicia (OGILVIE)	20	35	20	60	60	192/282/259	67	272	1	3	28%	10%	59	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Junior Valera 2013 · A	20	42	36→40	51→60	45	196/266/265	69	275	2	10	28%	8%	53	-2.1	226/289/310	84	293	3	18	22%	8%	71	-0.8	245/308/338	94	307	3	28	20%	8%	80	-0.0
✕Roberto Caro 2014 · A	20	46→41	35→40	56→60	48	210/285/283	73	287	1	16	25%	8%	63	-1.3	206/280/293	87	291	3	18	27%	8%	64	-1.3	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	44	183/259/238	55	287	2	15	34%	9%	44	-2.8	196/261/262	66	318	2	13	36%	7%	50	-2.3	183/249/232	49	297	0	21	35%	6%	36	-0.8
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Terry Serrano 2007 · A	20	39	35→30	49→55	46	184/261/240	56	270	2	16	30%	9%	45	-2.7	196/268/257	61	275	3	15	27%	8%	51	-2.2	193/272/251	58	274	2	17	28%	9%	50	-1.0
✕Rodolfo Penalo 2013 · A	20	41	36→40	52→65	48	193/259/264	71	240	3	18	20%	7%	50	-2.3	214/291/283	69	273	2	26	20%	9%	66	-1.1	212/299/273	61	273	1	34	20%	10%	63	-0.4
✕Jeremy Arocho 2018 · A	19	43→45	38→30	53→60	41	203/260/286	83	285	4	12	29%	6%	55	-2.0	223/283/291	68	291	2	11	22%	7%	64	-1.3	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Pedro Toribio 2010 · A	20	42	36→40	55→60	47	199/265/272	73	259	3	17	23%	8%	53	-2.1	229/276/321	92	283	4	23	20%	6%	68	-1.0	258/292/370	112	309	4	31	17%	4%	83	+0.0
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	51	200/292/258	58	284	3	8	28%	11%	62	-1.4	210/273/275	65	326	3	8	33%	7%	57	-1.8	203/265/239	35	320	0	8	34%	8%	43	-0.6
✕Alfredo Angarita 2017 · A	20	40	36→30	50→55	52	189/279/255	65	254	3	16	25%	10%	56	-1.9	199/268/256	57	283	2	12	28%	8%	51	-2.2	192/257/236	44	276	1	11	28%	7%	39	-1.2
✕Geraldo Quintero 2022 · A	20	39→46	36→40	52→60	46	187/255/254	67	246	3	17	24%	7%	46	-2.6	216/281/304	88	287	5	23	25%	7%	67	-1.1	218/285/302	85	288	5	28	24%	7%	66	-0.9
✕Chris Torres 2018 · A	20	43→37	36→30	51→55	44	200/268/273	72	300	3	14	32%	8%	55	-2.0	198/277/264	66	328	4	12	36%	10%	57	-1.8	180/269/235	55	301	3	15	37%	11%	44	-1.4
✕Kevin Encarnacion 2012 · A	20	45	36→40	56→55	51	210/281/283	74	266	2	20	21%	8%	62	-1.4	218/295/315	97	275	7	13	22%	9%	75	-0.5	227/301/318	90	284	8	11	22%	8%	74	-0.2
✕Jorge Minyety 2010 · A	19	46	35→30	50	55	208/299/269	61	275	1	14	22%	11%	67	-1.1	215/285/280	65	301	2	9	27%	9%	63	-1.4	224/291/259	35	315	0	4	26%	9%	56	-0.4
✕Nasim Nuñez 2021 · A	20	41→49	35→30	57→65	47	191/265/249	58	276	2	20	30%	9%	49	-2.4	210/296/260	50	309	2	38	29%	11%	63	-1.3	208/293/264	56	293	5	52	28%	10%	61	-1.2
✕Glenn Santiago 2021 · A	20	43	37→40	55→45	46	200/274/277	78	262	3	13	23%	7%	59	-1.6	205/269/296	91	280	7	9	28%	7%	61	-1.5	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Brainer Bonaci 2022 · A	20	40→44	39→45	53→50	43	195/254/284	89	269	5	13	28%	7%	53	-2.1	216/286/322	106	302	9	13	29%	9%	74	-0.6	216/290/325	109	297	11	14	29%	9%	73	-0.4
✕Dreily Guerrero 2011 · A	20	41	35→30	54→55	45	192/260/256	64	277	2	16	29%	8%	49	-2.4	178/230/240	62	292	2	10	37%	6%	33	-3.6	143/182/205	63	260	4	11	45%	4%	4	-1.5
✕Oliver Nunez 2015 · A	20	44	35→40	49→50	56	204/298/270	66	271	2	13	24%	12%	66	-1.1	229/297/298	69	282	2	13	18%	9%	72	-0.7	245/306/311	67	296	2	16	17%	8%	75	-0.2
✕Noah Miller 2023 · A	20	40→43	37→40	51→50	48	183/277/253	69	287	4	13	34%	10%	55	-1.9	198/260/272	74	269	6	8	27%	7%	52	-2.2	211/259/290	79	266	6	4	22%	6%	54	-1.8

Career Stats + Projections

Career Comps

Career Path Comps