Yojancel Cabrera

Yojancel CabreraSS ACL Angels

Age 18 L/R 6'2" / 186 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION111 act + 16 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.133 / .188 / .133

PA16

HR0

K%31

BB%6

BABIP286

ISO90

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · ContractCON 60 / POW 30

Toolsscout grade

CONTACT60

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED50

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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.

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)
2025	17	ROK	DSL Angels	—	219	180	61	14	2	2	30	37	6	10	8	339	449	472	921	133	413	17	14	409	163	+16	-1	—	—	+5	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Angels	—	219	191	50	11	1	2	19	53	6	10	8	262	347	361	708	99	338	24	9	309	95	-1	-1	—	—	+5	0.2
2025	17	ROK MLE	DSL Angels	—	219	191	50	11	1	2	19	53	6	10	8	262	347	361	708	99	348	24	9	309	95	—	—	—	—	—	—
2025	17	ROK RAW	DSL Angels	—	219	180	61	14	2	2	30	37	6	10	8	339	449	472	921	133	413	17	14	409	95	—	—	—	—	—	—
2025	17	ROK MLE	DSL Angels	—	219	192	50	11	1	2	19	53	6	10	8	260	347	359	707	99	338	24	9	309	95	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Angels	—	219	192	50	11	1	2	19	53	6	10	8	260	347	359	707	99	338	24	9	309	95	—	—	—	—	—	—
YTD	18	ROK MLE	LAA	—	111	101	15	1	1	0	5	39	5	1	1	149	225	178	403	30	242	35	5	182	9	-12	-0	+0	+1	+2	-0.9
▸ 2026 season
YTD	18	ROK RAW	LAA	—	111	97	20	2	1	0	8	27	5	1	1	206	297	247	545	41	286	24	7	260	9	—	—	—	—	—	—
ROS	18	ROK MLE	LAA	0%	16	15	2	0	0	0	1	5	0	0	0	133	188	133	321		287	31	6	256	59	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	LAA	—	127	116	17	1	1	0	6	44	5	1	1	147	220	172	393	26	236	35	5	191	16	-13	-0	+0	+1	+3	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	LAA	34%	269	244	52	9	2	3	18	75	5	4	2	213	281	303	584	90	290	28	7	268	68	-10	+0	+0	+3	+6	-0.2
2028	20	MLB MLE	LAA	48%	391	352	77	13	3	6	28	106	8	7	2	219	291	324	615	105	292	27	7	278	74	-12	+1	+0	+4	+8	0.1
2029	21	MLB MLE	LAA	54%	482	435	96	17	3	8	35	129	9	9	3	221	292	329	621	108	293	27	7	284	78	-12	+1	+0	+5	+10	0.4
2030	22	MLB MLE	LAA	57%	546	490	111	19	4	10	40	144	11	10	4	227	299	343	642	116	293	26	7	288	81	-12	+0	+0	+6	+12	0.6
2031	23	MLB MLE	LAA	58%	590	530	120	21	4	11	43	155	12	11	4	226	299	343	643	117	294	26	7	290	82	-12	+1	+0	+6	+13	0.8
2032	24	MLB MLE	LAA	57%	616	553	126	22	4	12	46	161	12	12	4	228	301	347	648	119	295	26	7	292	84	-12	+1	+0	+7	+13	0.9
2033	25	MLB MLE	LAA	57%	627	563	128	22	4	12	47	163	12	12	4	227	301	345	645	117	295	26	7	293	84	-12	+1	+0	+7	+14	0.9
2034	26	MLB MLE	LAA	57%	634	569	129	22	4	13	47	165	13	12	4	227	300	348	648	121	295	26	7	293	84	-12	+1	+0	+7	+14	1.0
2035	27	MLB MLE	LAA	55%	634	568	129	22	4	13	48	166	13	12	4	227	302	349	651	121	295	26	8	293	84	-12	+1	+0	+7	+14	1.0
2036	28	MLB MLE	LAA	59%	629	564	127	22	4	12	48	165	12	12	4	225	300	342	642	117	295	26	8	292	84	-12	+1	-1	+7	+14	0.9
2037	29	MLB MLE	LAA	61%	619	554	125	21	4	12	48	164	12	11	4	226	301	343	644	117	294	26	8	291	83	-13	+1	-1	+7	+13	0.7
2038	30	MLB MLE	LAA	62%	609	545	122	21	4	11	47	163	12	11	4	224	300	338	637	114	293	27	8	288	81	-14	+1	-2	+7	+13	0.5
2039	31	MLB MLE	LAA	63%	595	532	117	20	3	11	46	161	12	10	4	220	297	331	627	111	291	27	8	284	78	-15	+0	-3	+6	+13	0.2
2040	32	MLB MLE	LAA	64%	576	516	112	19	3	10	44	158	11	9	3	217	292	324	616	107	289	27	8	279	75	-17	+1	-4	+6	+12	-0.1
2027	19	MLB CTX	LAA	34%	92	84	18	3	1	1	6	26	2	1	1	214	283	310	592	95	289	28	7	254	68	-4	-0	+0	+1	+2	-0.1
2028	20	MLB CTX	LAA	48%	189	170	37	6	1	3	13	51	4	3	1	218	289	318	606	100	291	27	7	263	74	-6	+0	+0	+2	+4	0.0
2029	21	MLB CTX	LAA	54%	261	235	53	9	2	5	19	70	5	5	2	226	297	345	642	119	292	27	7	270	78	-7	+0	+0	+3	+6	0.2
2030	22	MLB CTX	LAA	57%	309	277	63	11	2	6	23	81	6	6	2	227	301	347	647	119	293	26	7	274	81	-7	+0	+0	+3	+7	0.3
2031	23	MLB CTX	LAA	58%	340	305	69	12	2	7	25	89	7	6	2	226	300	348	647	121	294	26	7	276	82	-7	+0	+0	+4	+7	0.4
2032	24	MLB CTX	LAA	57%	351	315	71	12	2	7	26	92	7	7	2	225	299	343	642	117	294	26	7	277	84	-7	+1	+0	+4	+8	0.5
2033	25	MLB CTX	LAA	57%	356	320	72	12	2	7	26	93	7	7	2	225	297	341	638	116	294	26	7	278	84	-7	+1	+0	+4	+8	0.6
2034	26	MLB CTX	LAA	57%	359	322	72	12	2	7	27	94	7	7	2	224	298	339	636	115	294	26	8	278	84	-7	+1	+0	+4	+8	0.6
2035	27	MLB CTX	LAA	55%	352	315	71	12	2	7	27	92	7	7	2	225	301	343	644	117	294	26	8	279	84	-7	+1	+0	+4	+8	0.6
2036	28	MLB CTX	LAA	59%	372	334	75	13	2	7	28	98	7	7	2	225	298	338	636	114	294	26	8	278	84	-7	+1	-0	+4	+8	0.5
2037	29	MLB CTX	LAA	61%	377	338	75	13	2	7	29	100	7	7	2	222	297	334	631	112	293	27	8	276	83	-8	+1	-1	+4	+8	0.4
2038	30	MLB CTX	LAA	62%	379	340	76	13	2	7	29	101	7	7	2	224	298	335	633	112	293	27	8	274	81	-9	+1	-1	+4	+8	0.3
2039	31	MLB CTX	LAA	63%	376	337	74	12	2	7	29	102	7	6	2	220	295	329	624	110	291	27	8	270	78	-10	+0	-2	+4	+8	0.1
2040	32	MLB CTX	LAA	64%	367	329	71	12	2	6	28	101	7	6	2	216	291	319	610	103	288	28	8	265	75	-11	+0	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4480	4021	897	152	26	84	335	1190	87	82	26	223	297	336	633	113	293	27	7	274	81	-101	+6	-7	+48	+97	4.4
/ 162G	—	A+C		—	650	583	130	22	4	12	49	173	13	12	4	223	298	336	634	113	294	27	8	274	81	-15	+1	-1	+7	+14	0.6
Career	—	MLE		—	8052	7221	1623	281	51	146	605	2133	160	152	58	225	299	338	637	114	296	26	8	288	81	-179	+8	-10	+84	+170	7.5
/ 162G	—	MLE		—	650	583	131	23	4	12	49	172	13	12	5	225	299	340	639	115	296	26	8	288	81	-15	+1	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.0	4,668	85	84	225	295	339	+50	+27	7.6	6.4
/162	664	12	12	+7.1	+3.8	1.1	pk7: 5
#6Ronny 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

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
Yojancel Cabrera (OGILVIE)	18	60	30	50	50	203/272/281	78	287	2	3	29%	7%	59	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cam Maron 2010 · A	19	46→56	40	50→40	47	222/289/316	94	291	7	7	25%	8%	73	-0.6	241/308/328	87	308	7	5	22%	8%	82	+0.0	248/318/312	64	318	4	2	21%	9%	80	-0.1
✕William Bergolla Jr. 2023 · A	18	53→62	36→30	43→55	51	246/305/313	67	280	3	7	13%	7%	78	-0.3	248/302/302	54	283	1	16	12%	7%	74	-0.6	267/314/314	47	296	1	26	10%	6%	78	-0.2
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3
✕Jose Reyes 2017 · A	18	50	36→45	51→55	44	235/281/303	67	296	3	10	21%	5%	66	-1.1	221/269/309	88	263	5	15	17%	6%	63	-1.4	219/269/317	97	252	6	20	15%	6%	62	-0.6
✕Alvaro Montero 2018 · A	18	48	35→30	52→60	54	219/315/281	62	294	3	16	24%	11%	76	-0.4	215/296/270	55	306	2	18	27%	9%	65	-1.2	232/319/263	31	312	0	30	23%	9%	71	-0.4
✕José Tena 2019 · A	18	47→54	36→45	47→55	43	222/269/294	72	278	3	10	21%	5%	59	-1.6	217/254/304	87	306	6	9	30%	4%	56	-1.9	243/301/368	126	332	12	21	29%	7%	86	+0.2
✕Marco Vargas 2023 · A	18	47	38→40	50→60	51	221/294/308	87	285	4	13	23%	9%	73	-0.6	208/298/278	70	288	3	18	26%	11%	68	-1.0	213/291/276	63	314	3	36	30%	10%	62	-0.7
✕Raynel Delgado 2019 · A	19	49→54	36→40	50→60	45	223/289/290	67	330	3	11	31%	8%	67	-1.1	205/259/278	73	306	4	10	32%	6%	53	-2.1	236/299/323	88	323	7	32	27%	7%	75	-0.4
✕Rossmel Perez 2008 · A	18	46→56	35→30	42→45	52	212/306/268	56	272	2	5	21%	9%	70	-0.9	226/285/281	55	265	2	3	15%	7%	63	-1.4	266/319/323	57	287	3	5	8%	6%	83	+0.0
✕Alain Camou 2023 · A	19	51	37→40	46→50	53	240/305/319	80	282	3	10	16%	8%	79	-0.2	208/265/274	66	271	2	6	22%	7%	53	-2.1	181/234/228	47	241	0	2	23%	6%	30	-0.9
✕Rubén Tejada 2008 · A	18	50→60	38→40	51→50	50	237/313/315	78	287	5	13	18%	8%	82	-0.0	227/281/295	68	274	3	9	17%	6%	65	-1.2	245/328/327	82	296	5	2	17%	9%	81	-0.0
✕Roynier Hernandez 2023 · A	18	44→51	34→30	46→50	52	204/278/258	54	261	2	8	21%	9%	56	-1.9	234/302/288	54	298	1	9	20%	9%	71	-0.8	250/313/298	48	318	0	9	20%	8%	75	-0.2
✕Carlos Sanchez 2023 · A	18	54→52	38→40	51→50	55	249/339/328	79	329	6	15	24%	11%	95	+0.9	210/307/287	77	354	4	12	36%	12%	74	-0.6	211/298/307	96	339	8	14	36%	11%	71	-0.6
✕Mikey Edie 2015 · A	18	48	37→30	47→50	45	227/308/301	74	283	5	13	20%	6%	78	-0.3	214/275/269	55	304	2	15	29%	5%	57	-1.8	194/246/238	44	286	1	12	31%	3%	36	-1.2
✕Emmanuel Avila 2007 · A	18	47→57	36→45	50→45	51	217/297/292	76	290	2	9	24%	10%	71	-0.8	206/254/266	60	262	3	6	21%	5%	47	-2.5	278/317/371	94	319	8	6	15%	4%	95	+0.7
✕Carlos Arroyo 2019 · A	18	50	35→30	50	51	231/310/281	51	284	3	13	19%	8%	74	-0.6	221/279/288	67	257	4	15	15%	6%	63	-1.4	183/236/245	62	242	4	19	25%	4%	36	-1.1
✕Adrian Cardenas 2007 · A	19	47→57	39→40	54→50	43	225/276/311	86	292	5	14	24%	6%	66	-1.1	253/298/346	93	309	6	11	19%	6%	82	+0.0	272/321/361	89	314	4	8	14%	6%	93	+0.7
✕Abrahan Ramirez 2023 · A	18	48→46	38→45	48→55	45	222/293/309	87	323	3	10	30%	8%	73	-0.6	230/318/307	77	318	3	13	25%	11%	82	-0.0	223/321/291	68	317	2	14	26%	12%	78	-0.1
✕Alek Thomas 2019 · A	19	50→54	38→50	51→50	44	238/283/324	87	297	4	10	21%	6%	72	-0.7	243/298/367	124	326	10	10	27%	7%	87	+0.4	246/302/387	142	310	12	11	24%	7%	91	+0.6
✕Magneuris Sierra 2015 · A	19	53→56	37→40	52→60	44	249/295/323	74	309	4	13	20%	6%	76	-0.4	238/270/305	67	319	3	15	25%	4%	61	-1.5	225/274/299	74	296	5	32	24%	6%	58	-0.8

Career Stats + Projections

Career Comps

Career Path Comps