Sergio Tapia — OGILVIE

Sergio TapiaC Lakeland Flying Tigers

Age 23 R/R 5'10" / 160 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION95 act + 13 ros · stats below = ROS only

showingROS

wRC+†63

AVG/OBP/SLG.167 / .231 / .167

PA13

HR0

K%23

BB%8

BABIP244

ISO129

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 40 / POW 40

Toolsscout grade

CONTACT40

scouting grade only

POWER40

scouting grade only

EYE25

scouting grade only

SPEED40

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2031
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	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.8M	+$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)
2019	16	ROK	DSL Tigers 1	—	114	99	25	7	0	0	8	21	3	2	5	253	327	323	651	71	312	18	7	290	82	-2	-2	—	—	+2	-0.2
2021	18	ROK	FCL Tigers East	—	41	32	9	1	0	0	6	5	2	1	0	281	425	312	738	31	321	12	15	346	120	+1	+0	—	—	+1	0.2
2022	19	ROK	FCL Tigers	—	78	66	19	5	1	1	10	10	0	2	1	288	382	439	821	152	316	13	13	358	129	+3	+0	—	—	+2	0.4
2023	20	A	Lakeland Flying Tigers	—	124	102	18	5	0	2	17	21	4	1	1	176	317	284	601	108	203	17	14	285	79	-3	-0	—	—	+3	-0.1
2024	21	ROK	FCL Tigers	—	102	89	21	4	1	3	11	14	1	0	0	236	327	404	731	169	250	14	11	325	106	+1	+0	—	—	+2	0.3
2025	22	A	Lakeland Flying Tigers	—	150	135	31	6	0	5	9	21	2	0	0	230	286	385	671	156	232	14	6	293	84	-3	+0	—	—	+3	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	16	ROK MLE	DSL Tigers 1	—	114	102	19	5	0	0	5	30	3	2	5	186	245	235	481	49	235	26	4	205	25	-10	-2	—	—	+2	-1.0
2021	18	ROK MLE	FCL Tigers East	—	41	34	8	1	0	0	4	7	2	1	0	235	350	265	615	29	247	17	10	257	60	-2	+0	—	—	+1	-0.1
2022	19	ROK MLE	FCL Tigers	—	78	70	16	4	1	1	6	15	0	2	1	229	289	357	647	129	245	19	8	268	68	-3	+0	—	—	+2	-0.1
2023	20	A MLE	Lakeland Flying Tigers	—	124	107	15	4	0	1	12	31	4	1	1	140	252	206	458	65	186	25	10	223	37	-9	-0	—	—	+3	-0.7
2024	21	ROK MLE	FCL Tigers	—	102	93	16	3	1	2	7	20	1	0	0	172	238	290	528	118	189	20	7	229	41	-7	+0	—	—	+2	-0.5
2025	22	A MLE	Lakeland Flying Tigers	—	150	138	27	6	0	5	7	30	2	0	0	196	245	348	593	152	202	20	5	256	59	-7	+0	—	—	+3	-0.4
2019	16	ROK MLE	DSL Tigers 1	—	114	102	19	5	0	0	5	30	3	2	5	186	245	235	481	49	257	26	4	205	25	—	—	—	—	—	—
2019	16	ROK RAW	DSL Tigers 1	—	114	99	25	7	0	0	8	21	3	2	5	253	327	323	651	71	312	18	7	290	25	—	—	—	—	—	—
2021	18	ROK MLE	FCL Tigers East	—	41	34	8	1	0	0	4	7	2	1	0	235	350	265	615	29	286	17	10	257	60	—	—	—	—	—	—
2021	18	ROK RAW	FCL Tigers East	—	41	32	9	1	0	0	6	5	2	1	0	281	425	312	738	31	321	12	15	346	60	—	—	—	—	—	—
2022	19	ROK MLE	FCL Tigers	—	78	70	16	4	1	1	6	15	0	2	1	229	289	357	647	129	268	19	8	268	68	—	—	—	—	—	—
2022	19	ROK RAW	FCL Tigers	—	78	66	19	5	1	1	10	10	0	2	1	288	382	439	821	152	316	13	13	358	68	—	—	—	—	—	—
2023	20	A MLE	Lakeland Flying Tigers	—	124	107	15	4	0	1	12	31	4	1	1	140	252	206	458	65	187	25	10	223	37	—	—	—	—	—	—
2023	20	A RAW	Lakeland Flying Tigers	—	124	102	18	5	0	2	17	21	4	1	1	176	317	284	601	108	203	17	14	285	37	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	102	93	16	3	1	2	7	20	1	0	0	172	238	290	528	118	197	20	7	229	41	—	—	—	—	—	—
2024	21	ROK RAW	FCL Tigers	—	102	89	21	4	1	3	11	14	1	0	0	236	327	404	731	169	250	14	11	325	41	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	150	138	27	6	0	5	7	30	2	0	0	196	245	348	593	152	208	20	5	256	59	—	—	—	—	—	—
2025	22	A RAW	Lakeland Flying Tigers	—	150	135	31	6	0	5	9	21	2	0	0	230	286	385	671	156	232	14	6	293	59	—	—	—	—	—	—
2019	16	ROK MLE	DSL Tigers 1	—	114	105	19	5	0	0	5	30	3	2	5	181	245	229	474	48	235	26	4	205	25	—	—	—	—	—	—
2021	18	ROK MLE	FCL Tigers East	—	41	35	8	1	0	0	4	7	2	1	0	229	350	257	607	29	247	17	10	257	60	—	—	—	—	—	—
2022	19	ROK MLE	FCL Tigers	—	78	72	16	4	1	1	6	15	0	2	1	222	289	347	637	125	245	19	8	268	68	—	—	—	—	—	—
2023	20	A MLE	Lakeland Flying Tigers	—	124	107	15	4	0	1	12	31	4	1	1	140	252	206	458	65	186	25	10	223	37	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	102	93	16	3	1	2	7	20	1	0	0	172	238	290	528	118	189	20	7	229	41	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	150	140	27	6	0	5	7	30	2	0	0	193	245	343	588	150	202	20	5	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	Lakeland Flying Tigers	—	124	107	15	4	0	1	12	31	4	1	1	140	252	206	458	65	186	25	10	223	37	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	102	93	16	3	1	2	7	20	1	0	0	172	238	290	528	118	189	20	7	229	41	—	—	—	—	—	—
2025	22	A MLE	Lakeland Flying Tigers	—	150	140	27	6	0	5	7	30	2	0	0	193	245	343	588	150	202	20	5	256	59	—	—	—	—	—	—
YTD	23	A MLE	DET	—	95	86	15	3	0	2	7	24	0	0	0	174	237	279	516	105	210	25	7	218	34	-7	+0	+0	+2	+2	-0.4
▸ 2026 season
YTD	23	A RAW	DET	—	95	84	17	3	0	2	9	17	0	0	0	202	280	310	589	107	224	18	9	265	34	—	—	—	—	—	—
ROS	23	A MLE	DET	0%	13	12	2	0	0	0	1	3	0	0	0	167	231	167	397		248	23	8	262	63	-1	+0	+0	+0	+0	-0.0
TOT	23	A MLE	DET	—	108	98	17	3	0	2	8	27	0	0	0	173	236	265	501	92	211	25	7	223	37	-8	+0	+0	+2	+2	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	30%	214	197	41	8	1	5	13	52	2	3	1	208	264	335	599	127	253	24	6	269	68	-8	+0	+0	+4	+5	0.1
2028	25	MLB MLE	DET	44%	301	276	58	11	1	8	19	73	3	4	1	210	268	344	613	134	256	24	6	275	72	-10	+0	+0	+5	+7	0.2
2029	26	MLB MLE	DET	51%	361	331	70	13	2	9	23	87	4	4	1	211	271	344	615	133	258	24	6	278	74	-11	+0	+0	+6	+8	0.4
2030	27	MLB MLE	DET	52%	390	357	77	15	2	10	26	94	4	5	1	216	276	353	629	137	258	24	7	279	75	-12	+1	+0	+7	+8	0.4
2031	28	MLB MLE	DET	53%	407	373	80	15	2	11	27	99	4	5	1	214	275	354	629	139	258	24	7	278	74	-13	+1	-1	+7	+9	0.4
2032	29	MLB MLE	DET	53%	410	375	79	15	2	10	28	100	4	4	1	211	273	341	614	131	257	24	7	276	73	-13	+0	-1	+7	+9	0.2
2033	30	MLB MLE	DET	52%	410	375	78	15	1	10	28	101	4	4	1	208	270	333	604	125	256	25	7	273	71	-14	+0	-2	+7	+9	0.0
2027	24	MLB CTX	DET	30%	64	59	12	2	0	2	4	16	1	1	0	203	266	339	605	136	249	25	6	257	68	-2	+0	+0	+1	+1	0.0
2028	25	MLB CTX	DET	44%	133	123	26	5	1	3	8	32	1	2	0	211	265	341	607	130	252	24	6	262	72	-4	+0	+0	+2	+3	0.1
2029	26	MLB CTX	DET	51%	183	167	36	7	1	5	12	44	2	2	1	216	276	359	636	144	253	24	7	265	74	-6	+0	+0	+3	+4	0.2
2030	27	MLB CTX	DET	52%	204	186	39	7	1	5	14	49	2	2	1	210	272	339	611	129	254	24	7	266	75	-6	+0	+0	+4	+4	0.2
2031	28	MLB CTX	DET	53%	217	198	41	8	1	5	15	53	2	2	1	207	270	333	603	126	253	24	7	266	74	-7	+0	-0	+4	+5	0.2
2032	29	MLB CTX	DET	53%	215	196	41	8	1	5	15	52	2	2	1	209	272	337	609	128	253	24	7	264	73	-7	+0	-1	+4	+5	0.1
2033	30	MLB CTX	DET	52%	214	195	41	8	1	5	15	53	2	2	1	210	274	338	612	128	251	25	7	261	71	-7	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1230	1124	236	45	6	30	83	299	12	13	5	210	272	341	612	131	257	24	7	264	68	-40	+1	-2	+22	+27	0.8
/ 162G	—	A+C		—	650	594	125	24	3	16	44	158	6	7	3	210	272	342	613	131	258	24	7	264	68	-21	+0	-1	+12	+14	0.4
Career	—	MLE		—	3115	2840	586	115	13	72	206	742	37	35	14	206	269	332	601	126	251	24	7	268	68	-81	+3	-4	+45	+54	1.7
/ 162G	—	MLE		—	650	593	123	24	3	15	43	155	8	7	3	207	270	334	604	126	253	24	7	268	68	-21	+1	-1	+12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Ronny 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
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.1	1,373	35	16	213	269	346	+25	+16	1.8	1.8
/162	664	17	8	+11.9	+7.7	0.9	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
Sergio Tapia (OGILVIE)	23	40	40	40	25	201/255/325	124	248	3	2	25%	6%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marcus Greene Jr. 2018 · A	23	39	47→50	42→40	42	204/265/335	132	265	15	4	29%	7%	69	-0.9	214/269/319	105	302	10	5	31%	6%	66	-1.1	199/250/262	63	298	6	0	34%	6%	42	-0.9
✕Gavin Collins 2019 · A	24	39	45	41→40	38	201/249/329	127	261	13	4	28%	5%	61	-1.5	209/264/320	111	258	11	4	23%	6%	65	-1.2	195/267/304	109	239	14	1	24%	6%	61	-0.5
✕Chadd Krist 2013 · A	23	43	45→40	45	42	215/268/346	131	279	11	5	27%	6%	72	-0.7	197/260/296	99	271	9	5	29%	7%	58	-1.7	175/240/261	86	243	8	4	30%	7%	40	-1.2
✕Mike Bell 2008 · A	23	45→47	45	45	42	226/275/348	123	270	12	7	21%	5%	75	-0.5	219/260/334	115	267	11	5	22%	4%	66	-1.1	214/247/329	115	257	10	1	21%	4%	57	-1.5
✕Scott Manea 2019 · A	23	43→42	46→45	46→30	43	218/292/349	131	266	13	3	23%	6%	83	+0.1	212/292/340	128	277	15	3	28%	7%	81	-0.1	189/280/292	103	266	12	0	31%	8%	63	-0.7
✕Rodolfo Durán 2021 · A	23	39	47→50	47→45	36	206/242/334	128	274	16	4	31%	4%	59	-1.6	200/240/330	130	259	14	4	28%	5%	58	-1.7	225/268/375	150	277	17	3	25%	5%	76	-0.2
✕Óscar Hernández 2015 · A	22	41	44→50	41→40	39	206/251/323	117	265	11	4	27%	5%	60	-1.6	198/245/311	113	259	11	5	27%	5%	55	-1.9	162/212/257	95	207	10	1	27%	5%	28	-1.3
✕Kai Gronauer 2010 · A	23	44	41→40	42→40	39	218/260/309	91	273	10	4	24%	4%	60	-1.6	226/276/312	86	288	8	5	23%	5%	67	-1.1	224/276/300	77	284	7	4	23%	5%	62	-0.6
✕Michael Barash 2018 · A	23	41	44→45	42→45	44	208/270/322	114	273	12	3	28%	7%	68	-1.0	210/285/327	117	280	12	6	27%	9%	74	-0.5	183/280/300	117	234	13	4	26%	11%	64	-0.4
✕Michael Paez 2018 · A	23	42→43	43→40	41→40	46	207/287/322	115	271	10	7	26%	8%	75	-0.5	208/274/306	98	264	9	4	23%	7%	65	-1.2	201/265/289	88	251	8	2	22%	7%	57	-1.2
✕Kade Scivicque 2016 · A	23	44→49	44→45	47→40	41	219/268/326	108	261	13	7	22%	4%	68	-1.0	228/267/309	81	294	7	2	24%	4%	62	-1.4	233/272/329	96	289	9	0	22%	4%	67	-0.5
✕Brett Hayes 2007 · A	23	41	45	45→40	43	209/264/327	118	265	13	6	26%	6%	67	-1.1	212/252/309	97	268	10	5	24%	5%	57	-1.8	223/269/370	146	303	15	1	30%	5%	71	-0.2
✕Aramis Garcia 2016 · A	23	42→41	46→50	45	42	213/271/338	125	281	15	3	30%	7%	72	-0.7	215/261/345	130	289	15	3	30%	5%	70	-0.9	213/254/350	137	283	17	0	31%	4%	65	-0.7
✕Jose Vizcaino Jr. 2017 · A	23	45→42	43→45	41→45	42	220/278/332	113	294	10	6	28%	6%	73	-0.6	210/259/299	89	316	7	8	34%	5%	57	-1.8	197/241/272	74	307	6	8	36%	4%	42	-2.1
✕Chuckie Robinson 2019 · A	24	41→51	45	44→45	39	210/251/329	119	275	12	6	28%	5%	61	-1.5	198/250/298	100	280	10	8	32%	5%	55	-2.0	234/287/347	113	292	13	7	24%	5%	76	-0.2
✕Chase Austin 2011 · A	23	44→42	44→45	43→50	45	216/275/331	115	266	11	7	23%	6%	72	-0.7	214/266/333	119	258	13	9	22%	5%	68	-1.0	201/249/317	117	231	15	10	20%	4%	56	-1.3
✕Jimmy Glowenke 2022 · A	23	42→38	46→45	43→45	40	207/277/338	131	296	13	5	33%	6%	74	-0.5	195/267/314	119	273	13	5	32%	6%	65	-1.2	180/257/286	106	245	12	5	30%	6%	53	-1.3
✕Jett Bandy 2013 · A	23	44	44→50	45	42	216/274/337	121	251	11	4	19%	4%	73	-0.6	219/277/341	122	258	12	3	20%	4%	75	-0.5	215/279/349	134	253	17	4	22%	5%	77	-0.2
✕Devin Ivany 2006 · A	24	44→48	46→50	42→45	41	223/264/352	129	259	14	7	20%	4%	72	-0.7	224/262/328	104	275	10	9	22%	4%	65	-1.2	216/273/349	132	276	14	8	26%	6%	72	-0.3
✕Brian Serven 2019 · A	24	42	42→50	41→30	41	206/258/318	112	267	9	4	26%	5%	62	-1.4	192/248/315	123	247	13	4	27%	5%	58	-1.7	217/296/335	118	314	12	1	32%	8%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps