Josue Briceño — OGILVIE

Josue BriceñoC Erie SeaWolves

Age 22 L/R 6'4" / 200 lbs AA HR -8% Svc 0.0 · Ctrl thru 2033

2027 FULL-SEASON PROJECTION0 act + 0 ros · stats below = full-season projection

showingPROJ

wRC+†95

AVG/OBP/SLG.214 / .296 / .384

PA19

HR1

K%26

BB%11

BABIP249

ISO235

MLB%6%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$39M ctrl surplus

Tools · ContractCON 49 / POW 61

Toolsscout grade

CONTACT49

scouting grade only

POWER61

scouting grade only

EYE55

scouting grade only

SPEED29

scouting grade only

DEFENSE40

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2029	Pre-Arb	$0.8M	+1.2	$8M	+$8M
2030	Pre-Arb	$0.8M	+1.5	$10M	+$9M
2031	Arb-1	$5M	+1.6	$9M	+$6M
2032	Arb-2	$8M	+1.6	$9M	+$4M
2033	Arb-3	$10M	+1.4	$7M	+$2M
Totals		$25M		$46M	+$30M

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. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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	7	—	—	—	—	—	—
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	88	—	—	—	—	—	—
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	91	—	—	—	—	—	—
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	75	—	—	—	—	—	—
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	—	—	—	—	—	—
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	73	—	—	—	—	—	—
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	139	—	—	—	—	—	—
2026	21	AAA	Toledo Mud Hens	—	59	51	10	4	0	0	8	19	0	0	0	196	305	275	580	78	312	32	14	274	36	—	—	—	—	—	—
2026	21	AA	Erie SeaWolves	—	76	64	19	0	0	8	9	16	1	0	1	297	392	672	1.064	375	262	21	12	442	142	—	—	—	—	—	—
2026	21	A	Lakeland Flying Tigers	—	25	20	6	2	0	1	5	5	0	0	0	300	440	550	990	250	357	20	20	434	113	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tigers 2	—	161	150	20	4	0	2	8	46	1	1	2	133	182	200	382	67	175	29	5	179	7	—	—	—	—	—	—
2023	18	A MLE	Lakeland Flying Tigers	—	48	43	11	5	0	0	5	11	0	0	0	256	333	372	705	116	332	23	10	299	88	—	—	—	—	—	—
2023	18	ROK MLE	FCL Tigers	—	198	177	42	9	1	6	15	41	2	3	1	237	304	401	705	164	261	21	8	303	91	—	—	—	—	—	—
2024	19	A MLE	Lakeland Flying Tigers	—	176	159	39	3	2	2	14	34	3	1	2	245	318	327	645	82	295	19	8	279	75	—	—	—	—	—	—
2025	20	AA MLE	Erie SeaWolves	—	198	176	38	5	2	4	18	55	2	0	1	216	296	335	631	119	276	28	9	276	73	—	—	—	—	—	—
2025	20	A+ MLE	West Michigan Whitecaps	—	244	212	53	11	1	15	25	53	4	1	0	250	340	524	864	274	257	22	10	373	139	—	—	—	—	—	—
2026	21	AAA MLE	Toledo Mud Hens	—	59	53	9	3	0	0	6	23	0	0	0	170	254	226	481	57	292	39	10	221	36	—	—	—	—	—	—
2026	21	AA MLE	Erie SeaWolves	—	76	66	18	0	0	7	7	20	1	0	1	273	351	591	942	318	243	26	9	378	142	—	—	—	—	—	—
2026	21	A MLE	Lakeland Flying Tigers	—	25	22	6	2	0	1	3	7	0	0	0	273	360	500	860	227	311	28	12	335	113	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 2	—	161	150	20	4	0	2	8	46	1	1	2	133	182	200	382	67	173	29	5	179	7	—	—	—	—	—	—
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	7	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	246	221	53	14	1	6	19	53	2	3	1	240	306	394	699	154	283	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	255	61	5	3	2	23	55	3	1	2	239	310	306	615	67	296	20	8	279	75	—	—	—	—	—	—
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	75	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	388	91	16	3	19	43	108	6	1	1	235	320	438	759	204	271	24	10	330	109	—	—	—	—	—	—
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	109	—	—	—	—	—	—
2026	21	AA MLE	3 teams	—	160	141	31	5	0	7	16	49	1	0	1	220	304	404	708	184	276	31	10	313	98	—	—	—	—	—	—
2026	21	AA RAW	3 teams	—	160	135	35	6	0	9	22	40	1	0	1	259	367	504	871	244	295	25	14	379	98	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 2	—	161	151	20	4	0	2	8	46	1	1	2	132	182	199	381	66	175	29	5	179	7	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	246	223	53	14	1	6	19	53	2	3	1	238	306	390	696	152	275	22	8	302	91	—	—	—	—	—	—
2024	19	A MLE	2 teams	—	282	254	61	5	3	2	23	55	3	1	2	240	310	307	617	67	295	20	8	279	75	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	390	91	16	3	19	43	108	6	1	1	233	320	436	756	203	266	24	10	330	109	—	—	—	—	—	—
2026	21	AA MLE	3 teams	—	160	142	31	5	0	7	16	49	1	0	1	218	304	401	705	183	272	31	10	313	98	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	2 teams	—	282	254	61	5	3	2	23	55	3	1	2	240	310	307	617	67	295	20	8	279	75	—	—	—	—	—	—
2025	20	A+ MLE	2 teams	—	442	390	91	16	3	19	43	108	6	1	1	233	320	436	756	203	266	24	10	330	109	—	—	—	—	—	—
2026	21	AA MLE	3 teams	—	160	142	31	5	0	7	16	49	1	0	1	218	304	401	705	183	272	31	10	313	98	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	DET	6%	375	333	74	12	2	15	36	93	3	2	1	218	300	395	695	177	254	25	10	309	95	-2	+0	-2	+7	+8	1.1
▸ 2027 — real world (MLB)
2027	22	MLB CTX	DET	6%	19	17	4	1	0	1	2	5	0	0	0	214	296	384	680	170	249	26	11	303	95	-0	+0	-0	+0	+0	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	DET	51%	386	342	78	13	2	16	37	93	4	3	2	225	307	411	718	186	259	24	10	318	101	+1	-0	-2	+7	+8	1.4
2029	24	MLB MLE	DET	66%	442	393	90	15	2	19	42	105	4	3	2	230	311	421	732	191	262	24	10	324	105	+3	-0	-2	+8	+10	1.8
2030	25	MLB MLE	DET	73%	468	416	96	16	2	20	45	110	4	3	2	232	313	425	739	193	264	24	10	326	107	+4	-0	-2	+8	+10	2.0
2031	26	MLB MLE	DET	76%	482	429	100	17	2	21	46	113	4	3	2	233	314	427	741	194	265	23	10	327	107	+4	-0	-2	+9	+10	2.1
2032	27	MLB MLE	DET	76%	484	431	100	17	2	21	46	114	4	2	2	231	313	424	737	193	264	24	10	326	106	+4	-0	-2	+9	+10	2.1
2033	28	MLB MLE	DET	76%	480	427	97	16	2	20	46	114	4	1	2	230	311	419	730	190	263	24	10	323	105	+3	-1	-3	+9	+10	1.8
2034	29	MLB MLE	DET	74%	471	419	95	16	2	19	45	114	4	1	1	227	308	413	721	186	261	24	10	319	102	+1	-0	-4	+8	+10	1.6
2035	30	MLB MLE	DET	73%	461	410	92	15	2	19	44	113	4	1	1	224	304	405	709	181	259	25	10	314	99	-1	-0	-4	+8	+10	1.3
2036	31	MLB MLE	DET	73%	434	387	85	14	1	17	41	108	3	1	1	220	299	395	694	175	256	25	9	308	95	-3	-0	-5	+8	+9	1.0
2037	32	MLB MLE	DET	72%	403	360	76	12	1	15	37	102	3	1	0	214	293	381	674	167	252	25	9	301	90	-5	+0	-5	+7	+9	0.6
2038	33	MLB MLE	DET	79%	363	325	68	11	1	13	33	94	2	0	0	208	285	366	651	158	247	26	9	291	83	-7	+0	-6	+6	+8	0.1
2039	34	MLB MLE	DET	74%	312	279	55	8	1	10	28	83	2	0	0	199	276	347	623	148	240	27	9	280	75	-9	+0	-6	+6	+7	-0.3
2028	23	MLB CTX	DET	51%	196	173	39	6	1	8	19	47	2	1	1	221	303	400	702	179	254	24	10	312	101	+0	-0	-1	+4	+4	0.7
2029	24	MLB CTX	DET	66%	292	259	59	10	1	12	28	69	3	2	1	225	307	409	716	184	258	24	10	317	105	+2	+0	-1	+5	+6	1.2
2030	25	MLB CTX	DET	73%	342	303	69	12	1	14	33	80	3	2	1	227	309	414	722	186	259	23	10	320	107	+3	+0	-2	+6	+7	1.5
2031	26	MLB CTX	DET	76%	368	327	74	12	2	15	35	86	3	2	1	228	309	415	724	187	260	23	10	321	107	+3	+0	-2	+7	+8	1.6
2032	27	MLB CTX	DET	76%	369	328	74	12	2	15	35	87	3	2	1	227	308	412	721	186	259	24	9	319	106	+3	+0	-2	+7	+8	1.6
2033	28	MLB CTX	DET	76%	365	324	73	12	1	15	35	87	3	1	1	225	306	408	714	183	258	24	10	317	105	+2	-0	-2	+7	+8	1.4
2034	29	MLB CTX	DET	74%	350	311	70	12	1	14	33	84	3	1	1	222	304	401	705	179	257	24	9	313	102	+1	-0	-3	+6	+8	1.2
2035	30	MLB CTX	DET	73%	338	300	66	11	1	13	32	83	3	1	1	219	300	393	693	174	255	25	9	308	99	-0	-0	-3	+6	+7	1.0
2036	31	MLB CTX	DET	73%	315	281	61	10	1	12	29	78	2	1	0	215	295	384	679	168	251	25	9	303	95	-2	+0	-3	+6	+7	0.7
2037	32	MLB CTX	DET	72%	291	260	54	9	1	10	27	74	2	0	0	210	289	371	660	161	247	25	9	295	90	-4	+0	-4	+5	+6	0.4
2038	33	MLB CTX	DET	79%	285	255	52	8	1	10	26	74	2	0	0	203	282	356	637	152	242	26	9	286	83	-6	+0	-5	+5	+6	0.1
2039	34	MLB CTX	DET	74%	231	207	41	6	1	7	21	61	1	0	0	195	272	338	610	142	236	26	9	274	75	-7	+0	-5	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3742	3328	732	120	14	145	353	910	30	13	8	220	300	395	696	175	256	24	9	308	96	-5	-1	-32	+67	+81	11.3
/ 162G	—	A+C		—	650	578	127	21	2	25	61	158	5	2	1	220	299	393	692	173	256	24	9	308	96	-1	-0	-6	+12	+14	2.0
Career	—	MLE		—	6797	6057	1349	224	28	258	629	1653	58	27	23	223	302	397	699	174	261	24	9	310	96	-8	-2	-46	+98	+119	16.6
/ 162G	—	MLE		—	650	579	129	21	3	25	60	158	6	3	2	223	302	399	701	176	260	24	9	310	96	-1	-0	-5	+12	+14	2.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Didi 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
#2Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	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
#4Jarrod 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.7	3,762	152	13	225	301	407	+67	-33	16.2	14.2
/162	664	27	2	+11.9	-5.8	2.9	pk7: 12
#5Welington 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
#6Khalil Greenelast yr '09 career totals — 7 seasons, 2,835 PA	4.3	2,835	90	25	245	302	422	+30	+14	13.0	13.0
/162	664	21	6	+7.1	+3.2	3.0	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)	22	42→49	56→61	31→29	55	216/298/391	175	254	12	2	25%	9%	95	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Marte 2006 · MLB	22	45→49	53→55	37→40	52	233/305/408	175	268	20	3	22%	10%	101	+1.4	228/278/386	158	268	18	3	22%	6%	85	+0.2	240/289/401	161	270	19	2	19%	6%	92	+0.4
✕Jordan Diaz 2024 · MLB	23	52→59	51→55	37→30	43	263/303/420	157	304	19	2	20%	5%	103	+1.5	260/310/421	161	307	20	4	22%	6%	105	+1.7	276/327/444	168	323	22	0	21%	6%	113	+1.6
●Mark Vientos 2022 · AAA	22	43→51	56→60	38→30	37	228/276/415	187	306	25	3	34%	6%	92	+0.7	246/303/435	189	333	25	2	32%	7%	107	+1.8	247/307/448	201	309	26	1	28%	7%	110	+1.8
●Chris Carter 2006 · AA	23	48→58	56→55	37→40	48	252/307/441	189	265	25	2	17%	6%	109	+2.0	268/322/430	162	297	19	5	16%	7%	112	+2.2	275/327/435	160	306	18	4	16%	7%	112	+2.2
✕Wilin Rosario 2013 · MLB	24	45→54	59→60	39→45	40	244/281/444	200	280	28	5	25%	5%	101	+1.4	257/288/428	171	301	22	5	22%	4%	99	+1.2	259/286/416	157	305	19	4	22%	3%	95	+0.7
✕Nomar Mazara 2018 · MLB	23	49→53	50→55	40	48	251/312/402	151	291	18	3	21%	7%	101	+1.4	251/308/415	164	299	20	4	22%	7%	103	+1.5	250/306/413	163	300	20	3	23%	6%	101	+0.9
✕Kellen Kulbacki 2009 · A	23	47→46	56→60	38→30	50	248/319/433	185	284	25	4	22%	8%	112	+2.2	218/274/334	116	262	12	6	21%	7%	72	-0.7	189/233/258	68	230	4	5	19%	5%	35	-0.8
✕MJ Melendez 2022 · AAA	23	40→48	61→60	40→50	46	223/295/441	219	278	30	5	32%	9%	105	+1.7	225/305/410	185	278	22	6	26%	10%	101	+1.4	217/299/394	178	268	20	5	26%	10%	96	+1.0
✕Logan O'Hoppe 2024 · MLB	24	45→48	57→55	43→45	49	240/314/434	193	269	26	6	22%	8%	110	+2.1	233/291/394	161	295	22	4	28%	7%	93	+0.8	226/283/371	144	289	20	2	28%	6%	84	+0.1
✕Sergio Pedroza 2007 · A	23	42→46	56→60	38→45	48	221/315/416	195	294	24	3	32%	10%	107	+1.8	229/303/389	160	305	18	7	29%	8%	96	+1.0	227/297/375	148	293	16	7	27%	7%	88	+0.3
●Devin Mesoraco 2011 · AAA	23	45→50	53→60	42→40	43	232/289/406	174	284	20	3	26%	6%	95	+0.9	233/287/389	156	272	17	3	21%	6%	89	+0.5	235/319/433	198	264	26	1	22%	9%	112	+1.1
✕Travis Snider 2010 · MLB	22	52→55	53→55	40→50	45	253/320/432	179	346	20	4	31%	8%	112	+2.2	255/309/419	164	324	18	12	26%	7%	104	+1.6	258/310/414	156	321	17	15	24%	7%	103	+1.1
●Miguel Montero 2007 · MLB	24	50→58	52→55	38→40	47	257/315/420	163	285	20	3	18%	6%	107	+1.8	250/311/413	163	280	19	3	18%	7%	104	+1.6	267/343/423	156	316	17	0	20%	9%	119	+2.2
✕Michael McKenry 2009 · A	24	42→47	52→55	38→40	47	222/296/395	173	273	20	4	27%	8%	95	+0.9	222/285/357	135	279	14	3	25%	8%	81	-0.1	248/321/426	177	294	23	2	23%	9%	111	+0.8
●Isaac Paredes 2023 · MLB	24	42→52	54→60	39→40	57	224/313/404	181	239	22	2	18%	11%	103	+1.5	241/339/441	200	256	26	2	18%	11%	121	+2.9	244/348/443	199	258	26	1	17%	11%	126	+2.9
●Iván Herrera 2022 · AA	22	43→53	48→50	40→50	48	219/299/351	132	281	17	4	28%	9%	86	+0.3	245/334/373	128	318	13	10	25%	11%	103	+1.6	263/357/416	152	307	19	10	20%	10%	123	+2.6
✕Nick Weglarz 2010 · AA	22	45→48	49→50	43→45	53	225/318/378	152	281	17	5	25%	11%	99	+1.2	223/313/373	150	295	15	5	28%	10%	96	+1.0	210/302/356	146	295	15	3	32%	10%	86	+0.2
●Mike Moustakas 2011 · AAA	22	45→55	55→65	44→45	40	241/274/425	185	264	24	5	20%	4%	93	+0.8	247/292/404	157	280	18	4	19%	5%	95	+0.9	258/313/495	237	259	33	2	16%	7%	125	+3.2
✕Travis Denker 2007 · A	21	45→51	49→50	37→45	54	228/313/371	143	268	17	3	22%	10%	95	+1.0	231/301/358	127	283	12	5	21%	9%	87	+0.4	228/292/363	135	273	14	6	21%	7%	83	+0.1
●Matt Joyce 2009 · MLB	24	45→52	53→60	39→50	47	232/298/416	184	289	20	4	27%	8%	99	+1.3	242/320/435	193	293	21	10	24%	10%	112	+2.2	249/336/447	198	291	22	9	21%	11%	122	+2.3

Career Stats + Projections

Career Comps

Career Path Comps