Feldi Tavarez — OGILVIE

Feldi TavarezC FCL Nationals

Age 19 R/R 6'0" / 160 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION82 act + 8 ros · stats below = ROS only

showingROS

wRC+†50

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%25

BB%12

BABIP261

ISO87

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Tools · ContractCON 30 / POW 40

Toolsscout grade

CONTACT30

scouting grade only

POWER40

scouting grade only

EYE49

scouting grade only

SPEED55

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$1M	—	—	—
Totals		$3M		$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. 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 Nationals	—	157	137	32	6	0	4	18	26	0	9	4	234	323	365	688	131	262	17	11	309	95	-1	+0	—	—	+3	0.3
2025	18	ROK	FCL Nationals	—	122	110	17	3	0	1	9	39	3	4	3	155	238	209	447	55	229	32	7	215	31	-10	-0	—	—	+3	-0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Nationals	—	157	144	26	5	0	3	11	36	0	9	4	181	239	278	516	97	214	23	7	220	35	-12	+0	—	—	+3	-0.9
2025	18	ROK MLE	FCL Nationals	—	122	114	12	2	0	0	5	56	3	4	3	105	164	123	287	18	194	46	4	137	-21	-18	-0	—	—	+3	-1.6
2024	17	ROK MLE	DSL Nationals	—	157	144	26	5	0	3	11	36	0	9	4	181	239	278	516	97	219	23	7	220	35	—	—	—	—	—	—
2024	17	ROK RAW	DSL Nationals	—	157	137	32	6	0	4	18	26	0	9	4	234	323	365	688	131	262	17	11	309	35	—	—	—	—	—	—
2025	18	ROK MLE	FCL Nationals	—	122	114	12	2	0	0	5	56	3	4	3	105	164	123	287	18	207	46	4	137	-21	—	—	—	—	—	—
2025	18	ROK RAW	FCL Nationals	—	122	110	17	3	0	1	9	39	3	4	3	155	238	209	447	55	229	32	7	215	-21	—	—	—	—	—	—
2024	17	ROK MLE	DSL Nationals	—	157	145	26	5	0	3	11	36	0	9	4	179	239	276	515	97	214	23	7	220	35	—	—	—	—	—	—
2025	18	ROK MLE	FCL Nationals	—	122	113	12	2	0	0	5	56	3	4	3	106	164	124	288	18	194	46	4	137	-21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Nationals	—	157	145	26	5	0	3	11	36	0	9	4	179	239	276	515	97	214	23	7	220	35	—	—	—	—	—	—
2025	18	ROK MLE	FCL Nationals	—	122	113	12	2	0	0	5	56	3	4	3	106	164	124	288	18	194	46	4	137	-21	—	—	—	—	—	—
YTD	19	ROK MLE	WSH	—	82	71	10	2	0	1	7	33	3	3	1	141	247	211	458	70	237	40	9	207	26	-7	+0	+0	+1	+2	-0.4
▸ 2026 season
YTD	19	ROK RAW	WSH	—	82	66	13	3	0	1	12	23	3	3	1	197	346	288	634	91	279	28	15	301	26	—	—	—	—	—	—
ROS	19	ROK MLE	WSH	0%	8	7	1	0	0	0	1	2	0	0	0	143	250	143	393		262	25	12	242	50	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	WSH	—	90	78	11	2	0	1	8	35	3	3	1	141	247	205	452	64	233	39	9	210	28	-8	+0	+0	+2	+2	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	WSH	34%	192	173	34	6	1	3	14	57	3	4	1	197	268	295	563	98	267	30	7	254	58	-10	+0	+0	+3	+4	-0.2
2028	21	MLB MLE	WSH	48%	326	293	60	11	2	6	25	94	5	7	2	205	279	317	596	113	270	29	8	264	65	-14	+1	+0	+6	+7	-0.0
2029	22	MLB MLE	WSH	54%	424	383	78	14	2	8	32	120	6	9	3	204	276	313	589	110	272	28	8	270	69	-16	+1	+0	+8	+9	0.2
2030	23	MLB MLE	WSH	57%	490	442	92	17	2	10	38	137	7	10	3	208	281	324	605	115	273	28	8	273	71	-17	+1	+0	+9	+11	0.3
2031	24	MLB MLE	WSH	57%	520	468	98	18	2	11	40	145	7	11	3	209	282	327	608	118	274	28	8	274	72	-17	+1	+0	+9	+11	0.4
2032	25	MLB MLE	WSH	57%	520	467	98	18	2	11	40	145	8	11	3	210	283	328	611	118	274	28	8	275	72	-17	+1	+0	+9	+11	0.5
2033	26	MLB MLE	WSH	56%	520	467	98	18	2	11	40	144	8	11	3	210	283	328	611	118	274	28	8	275	73	-17	+1	+0	+9	+11	0.5
2034	27	MLB MLE	WSH	55%	520	466	97	18	2	11	41	145	8	11	3	208	283	326	610	118	274	28	8	276	73	-17	+1	+0	+9	+11	0.5
2035	28	MLB MLE	WSH	55%	520	466	97	18	2	11	41	146	8	11	3	208	283	326	610	118	273	28	8	275	72	-17	+1	-1	+9	+11	0.4
2036	29	MLB MLE	WSH	53%	520	466	95	17	2	10	42	147	7	11	3	204	280	313	593	109	272	28	8	273	71	-18	+1	-1	+9	+11	0.2
2037	30	MLB MLE	WSH	53%	520	466	95	17	2	10	42	148	7	10	3	204	280	313	593	109	271	28	8	270	69	-19	+1	-2	+9	+11	-0.0
2027	20	MLB CTX	WSH	34%	66	60	11	2	0	1	5	19	1	1	0	183	258	267	524	83	266	29	8	243	58	-3	+0	+0	+1	+1	-0.0
2028	21	MLB CTX	WSH	48%	158	143	29	5	1	3	12	45	2	3	1	203	274	315	589	112	269	28	8	252	65	-7	+0	+0	+3	+3	-0.0
2029	22	MLB CTX	WSH	54%	230	207	42	8	1	4	18	65	3	5	1	203	276	309	585	106	271	28	8	258	69	-9	+1	+0	+4	+5	0.1
2030	23	MLB CTX	WSH	57%	277	250	51	9	1	6	21	77	4	6	2	204	276	320	596	116	272	28	8	261	71	-10	+0	+0	+5	+6	0.2
2031	24	MLB CTX	WSH	57%	294	265	55	10	1	6	23	82	4	6	2	208	281	321	602	113	273	28	8	263	72	-10	+0	+0	+5	+6	0.2
2032	25	MLB CTX	WSH	57%	294	265	55	10	1	6	23	82	4	6	2	208	281	321	602	113	273	28	8	263	72	-10	+0	+0	+5	+6	0.2
2033	26	MLB CTX	WSH	56%	294	265	55	10	1	6	23	82	4	6	2	208	281	321	602	113	273	28	8	263	73	-10	+0	+0	+5	+6	0.2
2034	27	MLB CTX	WSH	55%	288	259	54	10	1	6	23	80	4	6	2	208	283	324	608	116	272	28	8	264	73	-9	+0	+0	+5	+6	0.2
2035	28	MLB CTX	WSH	55%	285	256	53	10	1	6	23	80	4	6	2	207	283	324	607	117	272	28	8	263	72	-10	+0	-0	+5	+6	0.2
2036	29	MLB CTX	WSH	53%	278	250	51	9	1	6	22	78	4	6	2	204	279	320	599	116	271	28	8	261	71	-10	+0	-1	+5	+6	0.1
2037	30	MLB CTX	WSH	53%	274	246	50	9	1	5	22	78	4	5	2	203	279	309	588	106	270	28	8	258	69	-10	+0	-1	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2738	2466	506	92	10	55	215	768	38	56	18	205	279	318	597	112	273	28	8	261	67	-96	+4	-2	+49	+59	1.4
/ 162G	—	A+C		—	650	585	120	22	2	13	51	182	9	13	4	205	279	316	595	111	273	28	8	261	67	-23	+1	-1	+12	+14	0.3
Career	—	MLE		—	5359	4822	981	179	21	105	412	1522	77	119	37	203	277	315	591	111	272	28	8	267	67	-180	+9	-4	+91	+110	2.6
/ 162G	—	MLE		—	650	585	120	22	3	13	50	185	9	14	4	205	278	320	597	115	274	28	8	267	67	-23	+1	-1	+12	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ronny 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
#4Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.3	2,841	56	60	207	277	320	+51	+28	3.4	3.1
/162	664	13	14	+11.9	+6.5	0.8	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Feldi Tavarez (OGILVIE)	19	25→30	35→40	50→55	49	185/254/268	83	262	1	2	31%	7%	50	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Colmenares 2021 · A	19	39	39→45	47→50	45	192/256/277	84	251	7	8	26%	7%	52	-2.2	210/290/338	128	295	14	8	31%	9%	79	-0.2	177/254/299	122	259	13	14	35%	8%	55	-0.8
✕Jesus Galiz 2023 · A	19	38	42→45	49→40	40	191/253/297	106	266	9	5	31%	6%	55	-1.9	201/259/305	104	303	9	3	35%	6%	59	-1.6	191/250/291	100	290	9	2	35%	5%	52	-1.1
✕Cam Gallagher 2012 · A	19	36	38→45	48→30	42	181/228/253	72	231	7	5	25%	6%	35	-3.4	195/246/281	86	228	7	3	17%	6%	49	-2.4	218/279/324	106	270	9	0	22%	7%	70	-0.2
✕Victor Tademo 2018 · A	19	39	37→40	52→55	37	189/240/263	74	277	4	14	32%	5%	42	-2.9	195/241/256	61	285	3	7	31%	5%	40	-3.0	181/217/201	20	252	0	3	27%	4%	17	-1.4
✕Jason Lopez 2017 · A	19	40	38→50	49→45	43	195/258/270	75	266	5	11	28%	7%	51	-2.3	202/252/306	104	278	9	7	29%	5%	57	-1.8	161/223/251	90	239	8	7	35%	7%	32	-1.1
✕Victor Soto 2008 · A	19	39	39→45	48→60	39	189/241/283	94	268	6	12	31%	5%	47	-2.6	194/247/269	75	274	3	21	28%	5%	46	-2.6	184/234/247	64	257	1	30	27%	5%	34	-0.9
✕Christian Cerda 2022 · A	19	40→37	38→45	47→40	48	188/271/271	82	247	4	8	24%	8%	57	-1.8	195/289/294	99	262	9	6	26%	11%	70	-0.9	183/285/276	93	245	10	4	27%	12%	63	-0.8
✕Jose Cordoba 2022 · A	19	40	40	46→55	38	195/253/280	85	273	7	8	30%	5%	51	-2.2	200/258/297	97	283	8	10	31%	6%	57	-1.8	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Yohan Matos 2016 · A	19	40	41→45	48→45	38	194/251/289	95	288	8	7	34%	6%	53	-2.1	197/259/275	78	321	4	8	37%	7%	52	-2.2	166/241/231	64	289	0	11	39%	8%	33	-0.8
✕Daniel Santos 2018 · A	19	37	36→45	46→40	43	178/255/242	64	250	3	6	28%	7%	45	-2.7	197/260/282	85	284	6	6	31%	6%	55	-2.0	186/247/273	87	269	7	4	31%	6%	47	-0.7
✕Chris Suero 2023 · A	19	41→37	38→45	47→55	49	191/288/272	81	291	5	8	32%	10%	64	-1.3	194/290/296	102	287	9	14	33%	10%	70	-0.8	175/281/296	121	259	13	27	34%	10%	66	-0.9
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Jhoneiker Betancourt 2019 · A	19	38	34→50	52→40	37	182/225/238	56	256	1	6	29%	4%	30	-3.8	213/281/292	79	282	4	6	25%	6%	65	-1.2	196/280/325	129	258	16	1	29%	7%	75	-0.2
✕Rey Duran 2009 · A	20	36	41→50	49→40	41	183/243/277	94	256	9	6	31%	6%	47	-2.5	213/267/338	125	268	14	5	25%	6%	70	-0.8	210/263/349	139	246	19	2	23%	5%	69	-0.4
✕Ranfy Adon 2017 · A	19	36	39→45	49→50	41	180/246/264	84	259	7	12	32%	7%	46	-2.6	198/245/300	102	329	8	12	40%	5%	53	-2.1	176/236/282	105	327	9	25	46%	5%	44	-0.6
✕Gilbert Gomez 2011 · A	19	40→37	37→40	54→50	44	191/258/270	80	263	4	18	28%	7%	51	-2.2	202/266/283	81	296	5	9	31%	7%	57	-1.8	194/265/261	67	295	4	7	33%	8%	48	-1.4
✕Luis Andujar 2019 · A	19	42	37→40	53→50	38	197/250/268	71	300	4	9	34%	6%	47	-2.5	215/278/290	75	306	3	10	28%	7%	63	-1.4	221/291/292	71	306	2	12	26%	8%	68	-0.4
✕Gilberto Vizcarra 2019 · A	20	35	38→45	47→40	46	171/243/241	71	215	6	3	23%	7%	40	-3.1	206/263/285	79	260	5	4	22%	6%	56	-1.9	227/270/319	92	275	7	1	19%	4%	65	-0.4
✕Jose Rosario 2011 · A	19	42	38→40	50	41	201/262/277	76	283	5	10	30%	6%	54	-2.0	214/261/321	107	271	10	12	24%	4%	63	-1.3	231/278/335	104	277	9	10	19%	4%	69	-0.4
✕Adrian De Leon 2023 · A	19	42	38→40	47→45	43	199/271/276	78	288	5	7	31%	8%	58	-1.7	194/291/271	77	319	6	5	37%	9%	65	-1.2	158/267/223	66	272	6	3	39%	10%	45	-1.1

Career Stats + Projections

Career Comps

Career Path Comps