Josue Briceño — OGILVIE

Josue BriceñoC Erie SeaWolves

Age 21 L/R 6'4" / 200 lbs AA HR -8% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION160 act + 23 ros · stats below = ROS only

showingROS

wRC+†97

AVG/OBP/SLG—

PA1

HR0

K%26

BB%9

BABIP251

ISO190

MLB%6%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$64M ctrl surplus

Tools · ContractCON 48 / POW 61

Toolsscout grade

CONTACT48

scouting grade only

POWER61

scouting grade only

EYE55

scouting grade only

SPEED30

scouting grade only

DEFENSE40

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+1.1	$8M	+$7M
2028	Pre-Arb	$0.8M	+1.9	$13M	+$12M
2029	Pre-Arb	$0.8M	+2.2	$14M	+$13M
2030	Arb-1	$6M	+2.4	$14M	+$10M
2031	Arb-2	$11M	+2.4	$13M	+$7M
2032	Arb-3	$16M	+2.4	$12M	+$4M
Totals		$35M		$75M	+$54M

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)
2022	17	ROK	DSL Tigers 2	—	161	145	34	8	0	4	13	37	1	1	2	234	302	372	674	138	283	23	8	300	89	-2	-1	—	—	+3	0.1
2023	18	A	Lakeland Flying Tigers	—	48	41	12	6	0	0	7	8	0	0	0	293	396	439	835	146	364	17	15	375	140	+2	+0	—	—	+1	0.3
2023	18	ROK	FCL Tigers	—	198	169	55	13	2	7	23	28	2	3	1	325	412	550	963	225	348	14	12	413	166	+16	+0	—	—	+4	2.0
2024	19	A	Lakeland Flying Tigers	—	176	151	42	5	2	2	22	26	3	1	2	278	381	377	758	99	325	15	12	348	122	+5	-1	—	—	+4	0.8
2024	19	INTL	Scottsdale Scorpions	—	106	90	39	5	2	10	15	21	0	0	0	433	514	867	1.381	433	483	20	14	574	274	+22	+0	—	—	+2	2.5
2025	20	AA	Erie SeaWolves	—	198	168	39	6	2	5	25	47	2	0	1	232	337	381	718	149	288	24	13	322	104	+1	-0	—	—	+4	0.5
2025	20	A+	West Michigan Whitecaps	—	244	196	58	13	1	15	41	40	4	1	0	296	427	602	1.029	306	299	16	17	440	184	+24	+0	—	—	+5	3.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tigers 2	—	161	151	24	5	0	3	7	54	1	1	2	159	201	252	453	93	211	34	4	201	22	-15	-1	—	—	+3	-1.2
2023	18	A MLE	Lakeland Flying Tigers	—	48	43	11	5	0	0	5	12	0	0	0	256	333	372	705	116	340	25	10	306	93	-0	+0	—	—	+1	0.1
2023	18	ROK MLE	FCL Tigers	—	198	178	42	9	1	6	14	41	2	3	1	236	299	399	698	163	259	21	7	301	90	-2	+0	—	—	+4	0.2
2024	19	A MLE	Lakeland Flying Tigers	—	176	158	36	3	1	2	15	36	3	1	2	228	307	297	604	70	289	20	9	276	73	-6	-1	—	—	+4	-0.3
2025	20	AA MLE	Erie SeaWolves	—	198	177	36	5	2	4	17	55	2	0	1	203	281	322	603	119	256	28	9	260	62	-9	-0	—	—	+4	-0.5
2025	20	A+ MLE	West Michigan Whitecaps	—	244	213	52	11	1	15	24	56	4	1	0	244	332	516	848	272	250	23	10	364	132	+9	+0	—	—	+5	1.5
2022	17	ROK MLE	DSL Tigers 2	—	161	151	24	5	0	3	7	54	1	1	2	159	201	252	453	93	219	34	4	201	22	—	—	—	—	—	—
2022	17	ROK RAW	DSL Tigers 2	—	161	145	34	8	0	4	13	37	1	1	2	234	302	372	674	138	283	23	8	300	22	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	246	221	52	14	1	6	19	53	2	3	1	235	302	389	691	154	277	22	8	302	91	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	246	210	67	19	2	7	30	36	2	3	1	319	409	529	938	210	351	15	12	406	91	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	282	254	59	6	2	3	24	58	3	1	2	232	306	307	613	75	289	21	9	276	73	—	—	—	—	—	—
2024	19	A RAW	2 teams	—	282	241	81	10	4	12	37	47	3	1	2	336	431	560	991	224	377	17	13	433	73	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	390	88	16	3	19	41	112	6	1	1	226	309	428	737	203	261	25	9	317	101	—	—	—	—	—	—
2025	20	A+ RAW	2 teams	—	442	364	97	19	3	20	66	87	6	1	1	266	387	500	887	234	294	20	15	387	101	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 2	—	161	152	24	5	0	3	7	54	1	1	2	158	201	250	451	92	211	34	4	201	22	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	246	223	52	14	1	6	19	53	2	3	1	233	302	386	687	152	275	22	8	302	91	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	282	253	59	6	2	3	24	58	3	1	2	233	306	308	614	75	289	21	9	276	73	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	392	88	16	3	19	41	112	6	1	1	224	309	426	735	202	253	25	9	317	101	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	2 teams	—	246	223	52	14	1	6	19	53	2	3	1	233	302	386	687	152	275	22	8	302	91	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	282	253	59	6	2	3	24	58	3	1	2	233	306	308	614	75	289	21	9	276	73	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	392	88	16	3	19	41	112	6	1	1	224	309	426	735	202	253	25	9	317	101	—	—	—	—	—	—
YTD	21	AA MLE	DET	—	160	141	30	5	0	7	16	49	1	0	1	213	297	397	695	184	264	31	10	304	92	-2	-0	+0	+3	+3	0.4
▸ 2026 season
YTD	21	A RAW	DET	—	25	20	6	2	0	1	5	5	0	0	0	300	440	550	990	250	357	20	20	434	92	—	—	—	—	—	—
YTD	21	AA RAW	DET	—	76	64	19	0	0	8	9	16	1	0	1	297	392	672	1.064	375	262	21	12	442	92	—	—	—	—	—	—
YTD	21	AAA RAW	DET	—	59	51	10	4	0	0	8	19	0	0	0	196	305	275	580	78	312	32	14	274	92	—	—	—	—	—	—
ROS	21	AA MLE	DET	6%	23	21	5	1	0	1	2	6	0	0	0	238	304	429	733	190	255	26	9	312	97	-0	+0	-0	+0	+0	0.1
▸ 2026 season — projected rest
ROS	21	MLB CTX	DET	6%	1	1	0	0	0	0	0	0	0	0	0						251	0	0	299	97	-0	+0	-0	+0	+0	0.0
FULL	21	MLB A+C	DET	—	1	1	0	0	0	0	0	0	0	0	0							0	0	299	93	-0	+0	-0	+0	+0	0.0
TOT	21	AA MLE	DET	—	183	162	35	6	0	8	18	55	1	0	1	216	298	401	700	185	267	30	10	305	93	-2	-0	-0	+3	+4	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	DET	54%	477	424	97	17	2	20	45	115	5	2	2	229	310	420	730	191	261	24	9	321	103	+2	-0	-0	+9	+10	2.0
2028	23	MLB MLE	DET	74%	516	457	107	19	2	23	49	122	5	2	2	234	315	435	751	201	264	24	9	328	108	+5	-0	-0	+9	+11	2.5
2029	24	MLB MLE	DET	79%	520	461	108	19	2	23	49	121	5	2	2	234	315	434	748	200	267	23	9	333	111	+7	-0	-0	+9	+11	2.7
2030	25	MLB MLE	DET	82%	520	460	110	19	2	24	50	120	5	2	2	239	320	446	766	207	267	23	10	335	113	+8	-0	-0	+9	+11	2.8
2031	26	MLB MLE	DET	83%	520	460	110	19	2	24	50	120	5	2	2	239	320	446	766	207	267	23	10	336	114	+8	-0	-0	+9	+11	2.9
2032	27	MLB MLE	DET	82%	520	459	109	19	2	24	51	120	5	2	2	237	320	444	765	207	267	23	10	336	114	+8	-0	-0	+9	+11	2.9
2033	28	MLB MLE	DET	82%	520	459	109	19	2	24	51	121	5	2	2	237	320	444	765	207	266	23	10	335	113	+8	-0	-1	+9	+11	2.8
2034	29	MLB MLE	DET	79%	520	458	108	19	2	23	52	122	5	2	2	236	320	437	757	201	265	23	10	333	112	+7	-0	-2	+9	+11	2.6
2035	30	MLB MLE	DET	78%	520	458	107	18	2	23	52	123	5	2	1	234	318	432	751	199	264	24	10	331	110	+6	+0	-2	+9	+11	2.5
2036	31	MLB MLE	DET	77%	504	444	102	17	2	22	50	121	5	1	1	230	315	426	740	196	262	24	10	326	107	+4	-0	-3	+9	+11	2.1
2037	32	MLB MLE	DET	77%	489	433	98	16	2	21	48	119	5	1	1	226	311	418	729	192	258	24	10	321	103	+2	-0	-4	+9	+11	1.8
2038	33	MLB MLE	DET	77%	470	417	91	15	1	19	46	117	4	1	1	218	302	396	698	177	254	25	10	314	98	-1	-0	-4	+8	+10	1.3
2039	34	MLB MLE	DET	72%	414	367	77	12	1	16	40	106	4	1	0	210	294	379	673	169	248	26	10	305	92	-4	+0	-5	+7	+9	0.8
2040	35	MLB MLE	DET	68%	353	313	64	10	1	13	34	93	3	0	0	204	289	367	656	163	241	26	10	294	85	-6	+0	-6	+6	+8	0.2
2027	22	MLB CTX	DET	54%	257	228	51	9	1	10	24	62	3	1	1	224	306	404	709	180	256	24	9	307	103	+1	-0	-0	+5	+6	1.1
2028	23	MLB CTX	DET	74%	379	336	77	13	2	16	36	89	4	2	1	229	311	423	734	193	259	23	9	314	108	+4	+0	-0	+7	+8	1.9
2029	24	MLB CTX	DET	79%	412	366	85	15	2	18	39	96	4	2	1	232	313	432	745	199	262	23	9	319	111	+5	+0	-0	+7	+9	2.2
2030	25	MLB CTX	DET	82%	426	378	87	15	2	18	41	98	4	2	1	230	312	423	735	193	262	23	10	321	113	+7	+0	-0	+8	+9	2.4
2031	26	MLB CTX	DET	83%	433	384	89	15	2	19	42	100	4	2	1	232	314	430	744	198	262	23	10	322	114	+7	+0	-0	+8	+9	2.4
2032	27	MLB CTX	DET	82%	427	378	88	15	2	19	42	98	4	2	1	233	316	434	750	201	262	23	10	322	114	+7	+0	-0	+8	+9	2.4
2033	28	MLB CTX	DET	82%	424	375	87	15	2	18	42	98	4	2	1	232	316	427	743	195	261	23	10	321	113	+7	+0	-1	+8	+9	2.3
2034	29	MLB CTX	DET	79%	413	365	84	14	2	18	41	97	4	2	1	230	315	427	742	197	260	23	10	319	112	+6	+0	-1	+7	+9	2.1
2035	30	MLB CTX	DET	78%	406	359	81	14	1	17	40	96	4	1	1	226	310	412	722	187	259	24	10	317	110	+5	-0	-2	+7	+9	1.9
2036	31	MLB CTX	DET	77%	390	344	77	13	1	16	39	93	4	1	1	224	310	407	717	183	257	24	10	313	107	+3	-0	-2	+7	+8	1.6
2037	32	MLB CTX	DET	77%	376	332	72	12	1	15	37	92	4	1	1	217	303	395	698	178	253	24	10	307	103	+1	-0	-3	+7	+8	1.3
2038	33	MLB CTX	DET	77%	360	319	68	11	1	14	35	89	3	1	1	213	297	386	682	172	249	25	10	301	98	-1	-0	-3	+6	+8	1.0
2039	34	MLB CTX	DET	72%	299	265	55	9	1	11	29	76	3	0	0	208	293	374	667	166	243	25	10	292	92	-3	+0	-4	+5	+6	0.5
2040	35	MLB CTX	DET	68%	239	212	43	6	1	9	23	63	2	0	0	203	287	368	655	165	237	26	10	282	85	-4	+0	-4	+4	+5	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5242	4642	1044	176	21	218	510	1247	51	19	12	225	308	413	721	188	258	24	10	313	103	+45	-1	-22	+94	+114	23.4
/ 162G	—	A+C		—	650	576	130	22	3	27	63	155	6	2	1	226	309	415	723	189	259	24	10	313	103	+6	-0	-3	+12	+14	2.9
Career	—	MLE		—	8017	7107	1625	280	31	331	760	1923	78	28	26	229	310	416	726	188	264	24	9	320	103	+55	-4	-29	+123	+149	30.0
/ 162G	—	MLE		—	650	576	133	23	3	27	62	156	6	2	2	231	312	422	734	191	267	24	10	320	103	+5	-0	-3	+12	+14	2.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	7.9	5,262	229	18	231	311	428	+85	-41	27.9	22.9
/162	664	29	2	+10.8	-5.2	3.5	pk7: 18
#2Didi Gregoriuslast yr '22 career totals — 10 seasons, 4,238 PA	6.4	4,238	134	37	256	308	421	+45	-10	17.0	17.2
/162	664	21	6	+7.1	-1.5	2.7	pk7: 18
#3Evan Gattislast yr '18 career totals — 6 seasons, 2,662 PA	4.0	2,662	139	3	248	300	476	+30	+20	17.0	17.0
/162	664	35	1	+7.6	+4.9	4.2	pk7: 17
#4John 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
#5Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#6Welington Castillolast yr '19 career totals — 8 seasons, 2,667 PA	4.0	2,667	97	5	254	313	425	+48	-14	13.3	13.2
/162	664	24	1	+11.9	-3.4	3.3	pk7: 13

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
Josue Briceño (OGILVIE)	21	39→48	52→61	33→30	55	218/299/398	180	255	13	1	25%	9%	97	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kellen Kulbacki 2009 · A	23	47→46	56→60	38→30	50	248/319/434	185	284	25	4	22%	8%	112	+2.2	220/275/335	115	265	12	6	21%	7%	72	-0.7	193/235/261	68	234	4	5	19%	5%	36	-0.8
✕Francisco Alvarez 2023 · AAA	21	44→45	58→60	43→40	47	233/313/435	202	294	27	4	30%	9%	110	+2.1	231/305/429	198	282	27	4	28%	8%	106	+1.8	229/304/430	202	273	28	2	27%	9%	104	+1.1
✕Chris Carter 2006 · AA	23	47→57	56→55	37→40	48	251/307/438	187	265	25	2	17%	6%	108	+1.9	259/312/409	150	288	17	5	16%	7%	103	+1.5	262/313/405	143	294	16	4	16%	6%	101	+1.3
✕Travis Denker 2007 · A	21	44→52	48→50	37→45	54	224/307/363	140	262	17	3	22%	10%	91	+0.7	226/294/349	123	276	12	5	21%	8%	82	+0.0	229/306/370	141	260	15	0	18%	8%	92	+0.4
✕Sergio Pedroza 2007 · A	23	42→47	56→60	38→45	47	220/314/415	194	293	24	3	32%	10%	106	+1.8	229/303/387	158	305	17	7	29%	8%	95	+1.0	228/299/376	148	295	16	7	27%	7%	89	+0.3
✕Jaff Decker 2011 · A	21	46→49	54→55	45→55	51	235/324/415	180	304	22	7	29%	10%	109	+2.0	209/292/354	145	278	16	9	29%	10%	84	+0.1	221/295/327	106	285	9	13	24%	9%	76	-0.3
●Mike Moustakas 2011 · AAA	22	44→54	54→65	44→45	40	234/267/412	178	257	23	5	20%	4%	88	+0.4	245/292/401	156	278	18	4	19%	6%	94	+0.9	259/321/497	238	260	33	2	16%	7%	122	+2.9
●Stephen Drew 2006 · AA	23	50→57	55	43→45	49	259/324/456	196	304	22	7	22%	8%	118	+2.7	256/310/417	161	295	15	6	18%	7%	104	+1.6	271/331/452	181	305	15	6	16%	8%	114	+2.5
✕Michael McKenry 2008 · A	23	46→48	54→55	41→40	49	238/309/421	183	282	21	7	24%	9%	105	+1.7	223/291/376	153	278	17	4	25%	8%	88	+0.4	251/325/430	179	297	23	2	23%	9%	110	+0.8
●Andy Pages 2022 · A	21	41→51	58→55	45→50	46	221/312/425	204	289	27	6	32%	9%	108	+1.9	220/299/395	175	286	20	7	29%	8%	96	+1.0	266/322/445	180	311	23	10	22%	6%	115	+2.3
✕Travis Snider 2010 · MLB	22	50→53	52→55	39→50	45	246/312/419	174	335	20	4	31%	8%	105	+1.7	250/305/412	162	318	18	12	26%	7%	101	+1.4	252/321/404	152	307	18	5	23%	9%	102	+0.9
✕Nomar Mazara 2017 · MLB	22	50→52	48→55	41→40	47	250/308/388	138	297	17	2	22%	7%	97	+1.1	252/314/416	164	296	20	3	21%	8%	105	+1.7	252/315/424	173	294	21	3	22%	8%	100	+1.2
✕Derek Norris 2010 · A	21	43→53	51→55	45→50	48	223/303/383	161	292	19	5	30%	10%	95	+0.9	204/301/365	161	275	19	9	31%	11%	90	+0.6	258/336/412	153	316	16	5	22%	10%	109	+1.5
✕Logan O'Hoppe 2023 · MLB	23	44→48	52→55	45	50	232/308/392	160	264	21	7	21%	8%	98	+1.2	235/298/411	176	286	24	5	26%	7%	99	+1.3	229/284/404	175	286	26	2	29%	6%	91	+0.4
●Nolan Gorman 2019 · A	19	43	54→60	38→45	41	219/282/393	174	319	23	4	37%	8%	88	+0.5	203/256/343	140	302	16	4	36%	6%	68	-1.0	216/289/434	218	283	32	7	35%	9%	100	+1.1
✕Jordan Diaz 2022 · A	21	48→57	48→55	41→30	43	244/288/390	146	290	16	5	22%	6%	90	+0.6	259/299/413	154	303	18	2	21%	5%	99	+1.3	261/303/419	158	303	20	0	21%	5%	99	+1.0
✕MJ Melendez 2022 · AAA	23	38→48	60	40→50	46	217/288/430	213	270	29	5	32%	9%	99	+1.3	224/305/409	185	277	22	6	26%	10%	101	+1.4	218/301/397	179	270	20	5	26%	10%	94	+0.8
●Mark Vientos 2023 · MLB	23	46→50	54→60	37→30	40	234/290/409	175	325	24	2	35%	7%	95	+1.0	243/301/435	192	315	25	2	30%	7%	105	+1.7	243/303/441	198	304	26	1	28%	7%	106	+1.5
●Devin Mesoraco 2011 · AAA	23	43→50	52→60	42→40	43	226/283/393	166	277	19	3	26%	6%	88	+0.5	227/283/373	146	267	16	3	21%	7%	84	+0.2	235/326/434	198	266	26	1	22%	9%	109	+1.0
★Nolan Arenado 2012 · A	21	48→56	51→65	42→40	45	246/280/408	162	260	19	3	15%	4%	91	+0.7	252/288/395	143	274	14	2	14%	5%	91	+0.6	284/358/521	237	296	31	2	16%	10%	138	+4.6

Career Stats + Projections

Career Comps

Career Path Comps