Jose Sibrian — OGILVIE

Jose SibrianC Tigres de Aragua

Age 27 R/R 5'10" / 175 lbs INTL HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 0.2 · 2028

wRC+†69

AVG/OBP/SLG.210 / .276 / .330

PA76

HR2

K%28

BB%7

MLB%0%

trajectory · 10 yrs

0.3peak

2028

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	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$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		$1M		$-4M	-$6M

Career Projections (MLE)

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.

Year	Age	Lvl	Team	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
2016	17	ROK	DSL Brewers	133	119	20	4	0	0	6	30	6	0	0	.168	.244	.202	.446	.034	.222	23	5	.196	8	-14	+0	+0	+2	+4	-0.8
2018	19	ROK	Helena Brewers	140	130	19	3	0	1	4	40	6	0	0	.146	.207	.192	.399	.046	.202	29	3	.179	-5	-17	+0	+0	+3	+4	-1.0
2021	22	ROK	2 teams	111	105	17	3	0	0	3	31	3	0	0	.162	.207	.190	.398	.029	.230	28	3	.178	-5	-13	+0	+0	+2	+3	-0.8
2022	23	A	2 teams	271	249	51	11	0	2	15	57	7	0	0	.205	.269	.273	.542	.068	.258	21	6	.244	45	-17	+0	+0	+5	+8	-0.4
2023	24	A	Carolina Mudcats	244	220	49	12	0	7	11	59	10	0	0	.223	.290	.373	.663	.150	.268	24	5	.294	83	-5	+0	+0	+4	+7	0.7
2024	25	A+	West Michigan Whitecaps	52	47	6	2	0	0	3	23	2	0	0	.128	.212	.170	.382	.043	.250	44	6	.162	-18	-7	+0	+0	+1	+1	-0.5
2025	26	INTL	Tigres de Aragua	110	98	31	6	0	1	5	23	3	2	0	.316	.368	.408	.776	.092	.405	21	5	—	—	—	—	+0	+2	—	—
▸ 2026 Season
2026	27	MLB	DET	76	70	15	3	0	2	5	21	1	1	0	.214	.276	.343	.619	.129	.278	28	7	.276	69	-3	+0	+0	+1	+2	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 7%	DET	116	105	22	4	1	2	8	32	2	2	0	.210	.278	.324	.602	.114	.280	28	7	.279	72	-4	+0	-1	+2	+3	0.1
2028	29	MLB 18%	DET	198	179	38	7	1	4	14	54	3	3	1	.212	.281	.330	.610	.117	.280	27	7	.281	73	-6	+0	-1	+4	+6	0.2
2029	30	MLB 27%	DET	256	232	49	9	1	6	19	71	3	3	0	.211	.280	.336	.616	.125	.279	28	7	.280	72	-8	+1	-2	+5	+7	0.2
2030	31	MLB 39%	DET	267	241	52	10	1	6	20	74	4	2	0	.216	.287	.340	.627	.124	.278	28	7	.277	70	-9	+0	-3	+5	+8	0.1
2031	32	MLB 48%	DET	261	237	48	9	1	5	19	74	3	0	0	.203	.270	.312	.583	.110	.277	28	7	.272	67	-10	+0	-4	+5	+7	-0.1
2032	33	MLB 57%	DET	239	216	44	8	1	5	18	69	3	0	0	.204	.274	.319	.594	.116	.275	29	8	.267	63	-10	+0	-4	+4	+7	-0.3
2033	34	MLB 67%	DET	202	182	37	7	1	4	15	60	3	0	0	.203	.275	.319	.594	.115	.273	30	7	.261	58	-10	+0	-5	+4	+6	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			2676	2430	498	98	7	45	165	718	59	13	1	.205	.272	.307	.579	.102	.270	27	6	.246	47	-161	+2	-20	+48	+76	-5.6
/ 162G	—			650	590	122	24	2	11	40	174	14	3	0	.207	.273	.310	.583	.103	.272	27	6	.246	47	-39	+1	-5	+12	+18	-1.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	HR	BB	SO	HBP	SB	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2016	17	ROK	DSL Brewers	133	116	25	5	0	9	21	6	0	.216	.305	.259	.564	.043	.260	16	7	.265	61	-6	+0	—	—	+4	-0.2
2018	19	ROK	Helena Brewers	140	127	25	5	1	7	28	6	0	.197	.271	.260	.531	.063	.245	20	5	.250	49	-8	+0	—	—	+4	-0.4
2021	22	A	Carolina Mudcats	18	18	6	2	0	0	5	0	0	.333	.333	.444	.778	.111	.462	28	0	.344	121	+0	+0	—	—	+1	0.1
2021	22	ROK	ACL Brewers Blue	93	86	18	3	0	4	17	3	0	.209	.269	.244	.513	.035	.261	18	4	.241	43	-6	+0	—	—	+3	-0.3
2022	23	A	Carolina Mudcats	245	217	53	13	2	21	36	7	0	.244	.331	.332	.662	.088	.285	15	9	.306	93	-2	+0	—	—	+7	0.5
2022	23	INTL	Cardenales de Lara	26	25	9	0	1	1	2	0	0	.360	.385	.480	.865	.120	.364	8	4	.385	153	+2	+0	—	—	+1	0.2
2023	24	A	Carolina Mudcats	244	212	59	16	9	18	41	10	0	.278	.361	.481	.842	.203	.303	17	7	.369	140	+11	+0	—	—	+7	1.8
2024	25	A+	West Michigan Whitecaps	52	46	7	2	0	4	17	2	0	.152	.250	.196	.446	.043	.241	33	8	.218	25	-4	+0	—	—	+1	-0.3
2025	26	INTL	Tigres de Aragua	110	98	31	6	1	5	23	3	2	.316	.368	.408	.776	.092	.405	21	5	.338	117	+2	+0	—	—	+3	0.6

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
Jose Sibrian (OGILVIE)	27	—	—	—	—	.210/.276/.330	.120	.278	2	1	28%	7%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Stevie Berman 2022 · AA	27	42	43→50	49→40	48	.208/.284/.316	.108	.260	11	7	24%	8%	69	-0.4	.206/.292/.328	.122	.270	13	5	27%	9%	76	+0.0	.190/.289/.313	.123	.250	14	1	28%	10%	69	-0.1
✕Dominic Miroglio 2022 · AA	27	41	44→45	44→40	43	.205/.269/.321	.117	.279	11	5	30%	7%	63	-0.9	.216/.284/.361	.145	.260	15	5	23%	8%	80	+0.4	.203/.270/.374	.171	.212	20	2	16%	7%	72	-0.1
✕Chuckie Robinson 2022 · AA	27	40→50	45	47→45	40	.204/.266/.319	.115	.281	13	8	31%	6%	61	-1.0	.228/.277/.351	.123	.290	14	7	26%	5%	74	-0.1	.227/.276/.326	.099	.301	12	4	27%	5%	64	-0.4
✕David Sheaffer 2022 · AAA	27	43	44→55	49→40	38	.216/.260/.334	.118	.297	12	6	31%	5%	62	-0.9	.198/.249/.294	.096	.291	8	6	33%	6%	46	-2.0	.142/.197/.220	.078	.216	6	0	36%	5%	4	-1.2
✕Devin Ivany 2009 · AA	27	45→48	43→50	47→45	40	.225/.266/.334	.109	.281	11	9	24%	4%	64	-0.8	.222/.276/.351	.129	.287	14	9	27%	6%	73	-0.1	.213/.270/.335	.122	.275	13	8	26%	7%	65	-0.3
✕Davis Stoneburner 2012 · AA	27	47→48	44→45	51→50	42	.230/.284/.355	.125	.290	11	13	24%	5%	77	+0.1	.206/.262/.297	.091	.279	6	15	27%	6%	53	-1.5	.168/.224/.225	.057	.241	0	17	28%	5%	15	-2.4
✕Sean Jamieson 2016 · AA	27	49→46	43→45	46→50	43	.235/.294/.348	.113	.314	10	10	27%	6%	80	+0.4	.217/.276/.307	.090	.324	7	8	33%	7%	62	-0.9	.182/.236/.235	.053	.302	2	0	38%	6%	22	-1.2
✕Brian O'Keefe 2021 · AA	28	41→42	46→55	45→40	47	.209/.282/.338	.130	.264	14	4	26%	8%	73	-0.1	.212/.271/.370	.158	.289	21	5	33%	7%	76	+0.1	.198/.262/.368	.171	.244	22	1	29%	7%	69	-0.2
✕Alex De Goti 2022 · AAA	27	42→46	43→45	49→50	43	.206/.269/.317	.110	.278	10	8	28%	7%	61	-1.0	.201/.276/.293	.092	.275	7	9	27%	9%	59	-1.1	.191/.273/.268	.077	.259	6	10	26%	9%	48	-1.1
✕Cody Clark 2009 · AA	27	43	42→45	47→40	41	.214/.262/.317	.103	.260	10	6	22%	4%	59	-1.1	.222/.270/.348	.126	.258	14	5	20%	5%	70	-0.3	.219/.268/.341	.122	.251	12	1	18%	5%	64	-0.3
✕Arturo Rodriguez 2019 · AAA	27	45→41	43→45	46→30	43	.223/.266/.329	.107	.272	12	5	23%	5%	63	-0.9	.258/.294/.402	.144	.289	19	6	18%	4%	94	+1.3	.282/.311/.427	.146	.305	23	2	16%	3%	103	+1.0
✕Andrew Knizner 2022 · MLB	27	43	45→50	49→40	49	.215/.292/.335	.120	.252	13	6	20%	8%	76	+0.1	.217/.288/.330	.113	.269	12	4	23%	8%	73	-0.1	.225/.294/.342	.116	.277	13	3	22%	6%	77	+0.1
✕Kramer Robertson 2022 · AAA	27	44→51	45	50→55	51	.216/.300/.340	.124	.266	12	13	23%	9%	82	+0.5	.209/.308/.306	.097	.274	9	22	25%	10%	77	+0.1	.191/.305/.263	.072	.260	7	26	26%	11%	62	-0.8
✕Zack Short 2022 · MLB	27	36→39	49→50	47→45	49	.192/.289/.338	.146	.258	18	7	32%	10%	77	+0.1	.192/.286/.318	.126	.265	14	10	31%	11%	70	-0.3	.179/.280/.288	.109	.251	11	11	31%	12%	58	-0.7
✕Shawn McGill 2011 · AA	27	47	44→45	53→45	40	.227/.276/.344	.117	.308	10	14	29%	6%	71	-0.3	.232/.281/.338	.106	.285	9	9	21%	5%	71	-0.3	.234/.285/.334	.100	.283	7	6	19%	5%	68	-0.2
✕Joe DeCarlo 2021 · AA	27	40→38	43→50	47→30	40	.197/.265/.308	.111	.291	11	5	34%	7%	58	-1.2	.199/.260/.292	.093	.305	9	6	35%	7%	51	-1.7	.163/.224/.224	.061	.249	8	0	36%	7%	16	-1.3
✕Steve Moss 2011 · A	27	44→49	44→45	48→50	43	.217/.275/.333	.117	.283	11	8	27%	6%	69	-0.4	.239/.302/.392	.153	.322	19	10	30%	7%	95	+1.4	.238/.320/.440	.202	.286	28	8	26%	9%	112	+0.6
✕Steve Holm 2006 · AA	26	42	43→50	47→40	43	.208/.266/.315	.106	.263	11	7	25%	6%	59	-1.1	.225/.292/.374	.149	.273	18	4	24%	7%	86	+0.8	.231/.308/.383	.152	.272	18	2	22%	8%	92	+0.5
✕Sharlon Schoop 2014 · AA	27	43→44	45→40	46→45	43	.219/.272/.337	.119	.277	13	8	26%	6%	68	-0.5	.212/.259/.296	.084	.278	7	4	25%	6%	51	-1.7	.204/.257/.319	.115	.259	12	0	26%	6%	52	-0.5
✕Wynston Sawyer 2018 · AA	26	46	42→45	45	46	.223/.294/.332	.110	.289	9	7	25%	8%	76	+0.1	.221/.292/.327	.106	.299	9	5	27%	7%	74	-0.1	.206/.283/.301	.095	.286	7	0	28%	6%	61	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)