Fernando Pena — OGILVIE

Fernando PenaC DSL Giants Orange

Age 19 R/R 5'11" / 175 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION114 act + 10 ros · stats below = ROS only

showingROS

wRC+†88

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP288

ISO94

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$55M ctrl surplus

Tools · ContractCON 45 / POW 41

Toolsscout grade

CONTACT45

scouting grade only

POWER41

scouting grade only

EYE60

scouting grade only

SPEED49

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	+1.1	$6M	+$5M
2033	Pre-Arb	$1.0M	+1.1	$5M	+$5M
2034	Pre-Arb	$1.0M	+1.1	$5M	+$4M
2035	Arb-1	$4M	+1.0	$4M	+$2M
2036	Arb-2	$7M	+1.0	$4M	+$1M
2037	Arb-3	$9M	+0.9	$2M	+$0.0M (cut)
Totals		$14M		$25M	+$18M

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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	17	ROK	DSL Giants Orange	—	57	43	10	1	0	0	9	16	5	0	0	233	421	256	677	23	370	28	16	340	116	+1	+0	—	—	+1	0.2
2025	18	ROK	DSL Giants Orange	—	93	76	21	4	0	1	11	16	6	1	0	276	409	368	777	92	339	17	12	363	132	+4	+0	—	—	+2	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Giants Orange	—	57	46	8	1	0	0	6	23	5	0	0	174	333	196	529	22	308	40	11	236	46	-4	+0	—	—	+1	-0.2
2025	18	ROK MLE	DSL Giants Orange	—	93	80	17	3	0	1	7	24	6	1	0	212	323	287	610	75	286	26	8	269	68	-4	+0	—	—	+2	-0.1
2024	17	ROK MLE	DSL Giants Orange	—	57	46	8	1	0	0	6	23	5	0	0	174	333	196	529	22	348	40	11	236	46	—	—	—	—	—	—
2024	17	ROK RAW	DSL Giants Orange	—	57	43	10	1	0	0	9	16	5	0	0	233	421	256	677	23	370	28	16	340	46	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Orange	—	93	80	17	3	0	1	7	24	6	1	0	212	323	287	610	75	291	26	8	269	68	—	—	—	—	—	—
2025	18	ROK RAW	DSL Giants Orange	—	93	76	21	4	0	1	11	16	6	1	0	276	409	368	777	92	339	17	12	363	68	—	—	—	—	—	—
2024	17	ROK MLE	DSL Giants Orange	—	57	46	8	1	0	0	6	23	5	0	0	174	333	196	529	22	308	40	11	236	46	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Orange	—	93	80	17	3	0	1	7	24	6	1	0	212	323	287	610	75	286	26	8	269	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Giants Orange	—	57	46	8	1	0	0	6	23	5	0	0	174	333	196	529	22	308	40	11	236	46	—	—	—	—	—	—
2025	18	ROK MLE	DSL Giants Orange	—	93	80	17	3	0	1	7	24	6	1	0	212	323	287	610	75	286	26	8	269	68	—	—	—	—	—	—
YTD	19	ROK MLE	SF	—	114	88	24	4	0	3	13	25	10	1	1	273	423	420	844	148	339	22	11	348	122	+3	-0	+0	+2	+2	0.7
▸ 2026 season
YTD	19	ROK RAW	SF	—	114	80	26	5	0	3	21	17	10	1	1	325	514	500	1.014	175	371	15	18	447	122	—	—	—	—	—	—
ROS	19	ROK MLE	SF	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		294	30	10	299	88	-0	+0	+0	+0	+0	0.0
TOT	19	ROK MLE	SF	—	124	97	25	4	0	3	14	28	10	1	1	258	405	392	797	134	324	23	11	344	119	+3	-0	+0	+2	+3	0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	SF	34%	190	165	37	6	1	3	17	47	6	3	1	224	319	327	646	103	291	25	9	300	89	-2	+0	+0	+3	+4	0.5
2028	21	MLB MLE	SF	48%	325	283	64	11	1	6	29	79	10	5	2	226	320	336	656	110	292	24	9	305	93	-3	+0	+0	+6	+7	1.0
2029	22	MLB MLE	SF	54%	423	369	86	15	2	9	38	102	13	7	3	233	326	358	684	125	293	24	9	309	95	-3	+0	+0	+8	+9	1.5
2030	23	MLB MLE	SF	57%	487	426	98	17	2	10	44	117	14	9	3	230	322	350	672	120	294	24	9	311	96	-2	+1	+0	+9	+11	1.8
2031	24	MLB MLE	SF	57%	520	452	106	19	2	11	48	125	15	9	4	235	328	358	687	124	295	24	9	312	97	-2	+0	+0	+9	+11	2.0
2032	25	MLB MLE	SF	57%	520	452	106	19	2	11	48	124	15	9	4	235	328	358	687	124	295	24	9	313	98	-1	+0	+0	+9	+11	2.0
2033	26	MLB MLE	SF	56%	520	451	105	18	2	11	48	124	16	10	4	233	328	355	683	122	294	24	9	313	98	-1	+0	+0	+9	+11	2.0
2034	27	MLB MLE	SF	55%	520	451	105	18	2	11	48	125	16	10	4	233	328	355	683	122	294	24	9	313	98	-1	+0	+0	+9	+11	2.0
2035	28	MLB MLE	SF	55%	520	451	104	18	2	11	49	125	15	9	4	231	326	353	679	122	294	24	9	312	97	-2	+0	-1	+9	+11	1.9
2036	29	MLB MLE	SF	58%	520	451	104	18	2	11	49	126	15	9	3	231	326	353	679	122	293	24	9	310	96	-3	+1	-1	+9	+11	1.8
2037	30	MLB MLE	SF	60%	520	451	104	18	2	11	49	128	15	9	3	231	326	353	679	122	292	25	9	307	94	-4	+1	-2	+9	+11	1.6
2038	31	MLB MLE	SF	62%	504	436	99	17	2	10	48	125	15	8	3	227	325	344	669	117	289	25	10	303	91	-5	+0	-3	+9	+11	1.3
2039	32	MLB MLE	SF	63%	489	426	94	16	2	9	46	124	14	8	3	221	317	331	648	110	286	25	9	298	88	-7	+0	-4	+9	+11	0.9
2040	33	MLB MLE	SF	63%	447	389	84	14	1	8	42	115	13	7	3	216	313	319	632	103	282	26	9	291	83	-9	+0	-4	+8	+10	0.5
2041	34	MLB MLE	SF	59%	391	341	70	11	1	6	36	103	11	6	2	205	302	296	598	91	276	26	9	283	77	-11	+0	-5	+7	+8	0.0
2027	20	MLB CTX	SF	34%	65	57	12	2	0	1	6	16	2	1	0	211	308	298	606	88	286	25	9	271	89	-1	+0	+0	+1	+1	0.2
2028	21	MLB CTX	SF	48%	157	137	31	5	1	3	14	38	5	3	1	226	321	343	664	117	287	24	9	277	93	-1	+0	+0	+3	+3	0.5
2029	22	MLB CTX	SF	54%	229	199	45	8	1	4	21	55	7	4	2	226	322	337	658	111	287	24	9	280	95	-1	+0	+0	+4	+5	0.8
2030	23	MLB CTX	SF	57%	276	241	54	10	1	5	25	66	8	5	2	224	318	336	654	112	288	24	9	283	96	-1	+0	+0	+5	+6	1.0
2031	24	MLB CTX	SF	57%	294	256	58	10	1	6	27	70	9	5	2	227	322	344	666	117	289	24	9	284	97	-1	+0	+0	+5	+6	1.1
2032	25	MLB CTX	SF	57%	294	256	58	10	1	6	27	70	9	5	2	227	322	344	666	117	289	24	9	284	98	-1	+0	+0	+5	+6	1.1
2033	26	MLB CTX	SF	56%	294	256	58	10	1	6	27	70	9	5	2	227	322	344	666	117	289	24	9	284	98	-1	+0	+0	+5	+6	1.1
2034	27	MLB CTX	SF	55%	288	250	57	10	1	6	27	69	9	5	2	228	325	348	673	120	289	24	9	285	98	-1	+0	+0	+5	+6	1.1
2035	28	MLB CTX	SF	55%	285	248	57	10	1	6	27	69	8	5	2	230	325	351	676	121	288	24	9	284	97	-1	+0	-0	+5	+6	1.0
2036	29	MLB CTX	SF	58%	302	261	59	10	1	6	29	73	9	5	2	226	324	341	665	115	287	24	10	282	96	-1	+0	-1	+5	+7	1.0
2037	30	MLB CTX	SF	60%	313	271	60	10	1	6	30	77	9	5	2	221	319	332	651	111	286	25	10	279	94	-2	+0	-1	+6	+7	0.9
2038	31	MLB CTX	SF	62%	311	270	59	10	1	6	29	77	9	5	2	219	315	330	645	111	284	25	9	275	91	-3	+0	-2	+6	+7	0.8
2039	32	MLB CTX	SF	63%	307	266	58	10	1	5	29	78	9	5	2	218	316	320	635	102	280	25	9	270	88	-5	+0	-2	+5	+7	0.6
2040	33	MLB CTX	SF	63%	284	247	52	8	1	5	27	73	8	4	2	211	309	312	620	101	276	26	10	264	83	-6	+0	-3	+5	+6	0.3
2041	34	MLB CTX	SF	59%	231	201	41	6	1	4	21	61	7	3	1	204	301	303	605	100	271	26	9	256	77	-6	+0	-3	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3930	3416	759	129	14	75	366	962	117	65	26	222	319	334	653	112	285	24	9	278	93	-32	+3	-12	+70	+85	11.6
/ 162G	—	A+C		—	650	565	124	21	2	12	61	159	19	11	4	219	316	327	644	108	282	24	9	278	93	-5	+0	-2	+12	+14	1.9
Career	—	MLE		—	7056	6129	1392	239	26	139	653	1739	214	119	46	227	323	343	666	116	292	25	9	305	93	-55	+5	-20	+123	+150	20.7
/ 162G	—	MLE		—	650	565	128	22	2	13	60	160	20	11	4	227	322	342	664	115	291	25	9	305	93	-5	+0	-2	+12	+14	2.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jason Castrolast yr '22 career totals — 12 seasons, 3,381 PA	5.1	3,381	97	6	227	312	387	+60	+77	22.5	21.6
/162	664	19	1	+11.9	+15.1	4.4	pk7: 21
#2Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#5Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,021	82	68	229	320	348	+72	+36	15.0	12.0
/162	664	13	11	+11.9	+5.9	2.5	pk7: 9
#6Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12

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
Fernando Pena (OGILVIE)	19	40→45	36→41	44→49	60	221/321/322	101	294	1	1	25%	9%	88	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jesus Rodriguez 2021 · A	19	46→55	42→45	49→50	46	224/285/337	113	288	9	9	25%	8%	76	-0.4	235/301/339	104	297	6	12	21%	8%	82	+0.0	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Ronarsy Ledesma 2012 · A	19	41	42→45	47→50	43	203/277/306	103	268	9	7	27%	6%	67	-1.1	224/283/326	102	290	5	11	24%	5%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Manuel Joseph 2013 · A	19	46	41→45	44→50	45	221/274/319	97	271	8	8	21%	6%	68	-1.0	244/300/352	108	288	9	15	18%	6%	85	+0.2	263/321/381	118	302	10	21	15%	5%	101	+0.6
✕Andy Paz 2012 · A	19	50	36→40	44→45	50	231/310/298	67	290	3	8	20%	8%	77	-0.3	208/273/281	73	275	4	5	24%	8%	59	-1.7	214/269/283	68	275	5	4	23%	7%	54	-0.5
✕Jose Paez 2013 · A	19	49	40→45	51→50	43	233/286/331	98	308	6	13	25%	6%	74	-0.5	210/256/293	83	314	4	11	32%	5%	55	-2.0	178/220/246	68	283	3	12	36%	4%	26	-1.1
✕Bo Naylor 2019 · A	19	44→43	39→55	52→50	46	210/278/299	89	296	6	9	30%	8%	65	-1.2	190/247/308	118	273	11	8	33%	7%	55	-1.9	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Luis Alvarez 2009 · A	19	47	43→45	44→45	48	231/306/343	112	272	11	5	19%	7%	86	+0.3	224/289/325	101	280	9	6	22%	6%	76	-0.4	212/264/322	110	252	12	1	21%	4%	62	-0.3
✕Blaze Alexander 2019 · A	20	48	42→45	52→50	43	226/288/345	119	321	8	10	30%	7%	79	-0.2	202/270/304	102	302	9	11	34%	7%	63	-1.3	239/319/362	123	339	12	15	30%	8%	93	+0.6
✕Jonathan Galvez 2010 · A	19	44→48	42→45	50→55	49	212/297/322	110	288	9	12	28%	10%	78	-0.3	220/281/338	118	321	11	16	33%	7%	75	-0.5	235/283/350	115	329	10	23	30%	5%	76	-0.3
✕Jesus Morelli 2009 · A	19	49	42→45	48→50	49	234/311/346	112	300	9	12	24%	8%	88	+0.5	220/282/290	70	304	4	10	27%	6%	64	-1.3	219/279/260	41	287	0	14	22%	6%	53	-0.5
✕Daniel Robertson 2013 · A	19	45→54	46→45	52→40	49	225/297/363	139	266	12	6	20%	8%	87	+0.4	237/302/348	111	297	9	3	22%	7%	85	+0.2	232/336/343	111	304	11	4	25%	11%	96	+0.6
✕Samad Taylor 2017 · A	19	45→54	38→45	50→65	42	214/266/292	78	290	4	10	27%	6%	58	-1.7	192/258/286	94	273	6	18	30%	7%	55	-2.0	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Jhostynxon Garcia 2022 · A	19	43→41	41→50	47→50	51	206/290/306	101	284	7	8	28%	10%	72	-0.7	190/261/308	118	286	11	9	35%	8%	61	-1.5	219/271/366	148	290	19	9	30%	5%	75	-0.3
●Miguel Vargas 2019 · A	19	50→52	39→55	52→50	45	238/294/331	93	306	5	8	23%	7%	78	-0.3	246/298/362	116	303	10	8	21%	6%	86	+0.3	224/326/406	183	249	21	12	19%	12%	105	+1.6
●Royce Lewis 2018 · A	19	45→49	41→60	55→50	47	218/288/314	96	268	8	16	21%	7%	73	-0.6	216/264/320	104	282	9	16	26%	6%	64	-1.3	259/321/470	211	301	29	14	24%	8%	118	+1.2
✕Juan Mora 2019 · A	19	45	38→45	46→55	49	211/291/293	83	275	4	8	23%	9%	69	-0.9	213/293/326	113	268	10	14	23%	8%	78	-0.3	212/279/323	110	272	10	12	25%	6%	70	-0.4
✕Jeferson Quero 2022 · A	19	47→45	42→50	47→45	49	229/304/342	113	282	9	10	21%	8%	85	+0.2	224/276/345	121	286	13	8	26%	6%	74	-0.5	222/278/352	130	268	15	6	23%	6%	75	-0.3
✕Edgardo Rodriguez 2021 · A	20	48	41→45	48→30	43	233/283/334	102	283	8	5	21%	5%	75	-0.5	202/244/277	75	298	6	5	33%	5%	47	-2.6	180/204/231	51	260	9	0	34%	2%	21	-0.8
✕Jacob Amaya 2018 · A	19	44→45	39→45	48→45	46	210/278/294	84	284	6	8	27%	8%	64	-1.3	223/301/315	92	295	6	8	24%	10%	77	-0.3	207/279/322	115	260	13	5	25%	9%	69	-0.8

Career Stats + Projections

Career Comps

Career Path Comps