Riquelmin Cabral

Riquelmin Cabral2B ACL D-backs

Age 23 S/R 5'10" / 165 lbs ROK HR -11% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 84 proj PA

wRC+†63

AVG/OBP/SLG.204 / .263 / .310

PA7

HR0

K%29

BB%7

ISO107

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · Contract

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	—	—	—
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
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$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.

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)
2021	18	ROK	DSL D-backs 1	—	124	108	25	3	0	0	10	20	6	9	2	231	331	259	590	28	284	16	8	283	78	-3	+1	—	—	+3	0.0
2022	19	ROK	DSL D-backs Black	—	210	184	50	10	4	4	21	24	5	15	8	272	362	435	797	163	295	11	10	357	128	+7	-0	—	—	+5	1.1
2023	20	A	Visalia Rawhide	—	216	197	36	9	2	2	19	70	0	4	1	183	255	279	534	96	272	32	9	245	52	-12	+0	—	—	+5	-0.7
2023	20	ROK	ACL D-backs Red	—	46	43	16	7	2	2	1	6	1	1	0	372	400	767	1.167	395	389	13	2	486	215	+6	+0	—	—	+1	0.8
2024	21	ROK	ACL D-backs	—	70	62	13	1	2	0	6	20	0	1	0	210	279	290	570	81	302	29	9	254	58	-4	+0	—	—	+2	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL D-backs 1	—	124	112	20	2	0	0	6	29	6	9	2	179	258	196	454	18	235	23	5	206	26	-11	+1	—	—	+3	-0.7
2022	19	ROK MLE	DSL D-backs Black	—	210	192	36	6	2	3	13	35	5	15	8	188	257	286	544	99	217	17	6	250	55	-11	-0	—	—	+5	-0.7
2023	20	A MLE	Visalia Rawhide	—	216	202	26	6	1	2	14	92	0	4	1	129	185	198	383	69	231	43	6	176	5	-24	+0	—	—	+5	-2.0
2023	20	ROK MLE	ACL D-backs Red	—	46	43	12	5	1	2	1	9	1	1	0	279	311	581	893	302	284	20	2	351	124	+1	+0	—	—	+1	0.3
2024	21	ROK MLE	ACL D-backs	—	70	64	9	1	1	0	4	30	0	1	0	141	191	188	379	47	248	43	6	171	2	-8	+0	—	—	+2	-0.7
2021	18	ROK MLE	DSL D-backs 1	—	124	112	20	2	0	0	6	29	6	9	2	179	258	196	454	18	241	23	5	206	26	—	—	—	—	—	—
2021	18	ROK RAW	DSL D-backs 1	—	124	108	25	3	0	0	10	20	6	9	2	231	331	259	590	28	284	16	8	283	26	—	—	—	—	—	—
2022	19	ROK MLE	DSL D-backs Black	—	210	192	36	6	2	3	13	35	5	15	8	188	257	286	544	99	214	17	6	250	55	—	—	—	—	—	—
2022	19	ROK RAW	DSL D-backs Black	—	210	184	50	10	4	4	21	24	5	15	8	272	362	435	797	163	295	11	10	357	55	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	262	246	38	11	3	3	14	101	1	5	1	154	203	260	463	106	245	39	5	207	26	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	262	240	52	16	4	4	20	76	1	5	1	217	280	367	646	150	298	29	8	288	26	—	—	—	—	—	—
2024	21	ROK MLE	ACL D-backs	—	70	64	9	1	1	0	4	30	0	1	0	141	191	188	379	47	257	43	6	171	2	—	—	—	—	—	—
2024	21	ROK RAW	ACL D-backs	—	70	62	13	1	2	0	6	20	0	1	0	210	279	290	570	81	302	29	9	254	2	—	—	—	—	—	—
2021	18	ROK MLE	DSL D-backs 1	—	124	111	20	2	0	0	6	29	6	9	2	180	258	198	456	18	235	23	5	206	26	—	—	—	—	—	—
2022	19	ROK MLE	DSL D-backs Black	—	210	190	36	6	2	3	13	35	5	15	8	189	257	289	547	100	217	17	6	250	55	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	262	245	38	11	3	3	14	101	1	5	1	155	203	261	464	106	240	39	5	207	26	—	—	—	—	—	—
2024	21	ROK MLE	ACL D-backs	—	70	66	9	1	1	0	4	30	0	1	0	136	191	182	373	45	248	43	6	171	2	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	2 teams	—	262	245	38	11	3	3	14	101	1	5	1	155	203	261	464	106	240	39	5	207	26	—	—	—	—	—	—
2024	21	ROK MLE	ACL D-backs	—	70	66	9	1	1	0	4	30	0	1	0	136	191	182	373	45	248	43	6	171	2	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	ARI	0%	7	7	1	0	0	0	0	2	0	0	0	143	143	143	286		282	29	0	261	63	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	ARI	30%	145	133	28	5	1	3	10	41	1	2	1	211	271	331	602	120	284	28	7	272	70	-5	+0	+0	+1	+3	-0.2
2028	25	MLB MLE	ARI	44%	251	229	49	9	2	5	18	70	2	4	1	214	277	336	613	122	285	28	7	279	75	-8	+0	+0	+1	+5	-0.1
2029	26	MLB MLE	ARI	51%	326	297	64	12	2	7	23	90	3	5	1	215	279	340	619	125	285	28	7	283	78	-9	+1	+0	+1	+7	0.0
2030	27	MLB MLE	ARI	52%	367	334	73	14	3	8	27	101	3	6	2	219	283	350	633	132	285	28	7	284	78	-9	+0	+0	+1	+8	0.0
2031	28	MLB MLE	ARI	53%	390	355	78	15	3	9	29	108	3	6	2	220	284	355	639	135	285	28	7	283	78	-10	+0	-1	+1	+8	-0.1
2032	29	MLB MLE	ARI	53%	398	362	79	15	3	9	30	111	3	5	1	218	284	351	634	133	284	28	8	281	76	-11	+1	-1	+1	+9	-0.2
2033	30	MLB MLE	ARI	52%	400	364	79	15	3	9	30	113	3	5	1	217	282	349	631	132	282	28	8	278	75	-12	+1	-2	+1	+9	-0.4
2027	24	MLB CTX	ARI	30%	44	41	9	2	0	1	3	13	0	1	0	220	273	341	614	122	290	30	7	269	70	-2	+0	+0	+0	+1	-0.0
2028	25	MLB CTX	ARI	44%	111	101	22	4	1	2	8	31	1	2	0	218	282	337	618	119	291	28	7	276	75	-3	+0	+0	+0	+2	-0.0
2029	26	MLB CTX	ARI	51%	165	151	34	7	1	4	12	46	1	3	1	225	287	364	651	139	292	28	7	280	78	-4	+0	+0	+1	+4	-0.0
2030	27	MLB CTX	ARI	52%	192	174	39	8	2	4	14	53	2	3	1	224	289	362	652	138	292	28	7	281	78	-5	+0	+0	+1	+4	0.0
2031	28	MLB CTX	ARI	53%	208	189	41	8	2	4	15	58	2	3	1	217	282	344	625	127	291	28	7	280	78	-6	+0	-0	+1	+5	-0.0
2032	29	MLB CTX	ARI	53%	209	189	41	8	2	4	16	58	2	3	1	217	285	344	629	127	290	28	8	278	76	-6	+0	-1	+1	+5	-0.1
2033	30	MLB CTX	ARI	52%	208	188	41	8	2	4	16	59	2	3	1	218	286	346	632	128	289	28	8	275	75	-6	+0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1137	1033	227	45	10	23	84	318	10	18	5	220	285	349	634	130	292	28	7	278	66	-32	+2	-2	+4	+25	-0.4
/ 162G	—	A+C		—	650	591	130	26	6	13	48	182	6	10	3	220	285	350	636	130	293	28	7	278	66	-18	+1	-1	+2	+14	-0.2
Career	—	MLE		—	2950	2695	554	105	23	56	204	831	30	63	20	206	269	324	593	118	273	28	7	266	66	-65	+3	-4	+8	+49	-0.8
/ 162G	—	MLE		—	650	594	122	23	5	12	45	183	7	14	4	205	270	322	591	116	274	28	7	266	66	-18	+1	-1	+2	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.8	1,221	26	18	217	278	345	+4	+4	0.4	0.4
/162	664	14	10	+2.4	+2.2	0.2	pk7: 0
#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
Riquelmin Cabral (OGILVIE)	23	—	—	—	—	204/263/310	106	282	1	1	29%	7%	63	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hutton Moyer 2016 · A	23	39→42	42→50	50	36	194/252/305	111	271	9	7	31%	4%	57	-1.8	205/254/332	127	302	13	13	35%	5%	64	-1.3	196/243/329	133	288	15	15	36%	4%	57	-0.8
✕Patrick Bailey 2022 · A	23	43→49	44→45	50→45	43	210/276/327	117	304	11	8	33%	8%	71	-0.8	214/280/338	124	289	13	5	29%	8%	75	-0.5	231/291/344	113	305	11	4	27%	7%	78	-0.2
✕Skye Bolt 2017 · A	23	40→41	40→50	47→50	41	194/255/287	93	273	7	9	30%	6%	54	-2.0	201/262/330	129	290	12	10	33%	7%	66	-1.1	238/305/370	133	314	14	12	28%	8%	89	+0.2
✕Jose Sermo 2014 · A	23	41→36	41→55	48→50	35	201/242/299	98	296	8	11	34%	5%	51	-2.3	207/254/318	111	326	11	10	38%	6%	60	-1.6	189/231/329	140	324	16	10	45%	5%	54	-0.9
✕Jose Marquez 2021 · A	23	46	41→50	49→50	38	222/266/325	103	307	9	8	30%	5%	66	-1.1	201/264/300	99	331	10	9	39%	7%	60	-1.6	129/202/216	87	206	15	12	43%	7%	16	-0.8
✕Marcus Littlewood 2015 · A	23	41	42→45	49→45	47	202/269/308	106	265	9	5	26%	8%	63	-1.3	210/269/319	109	275	10	5	26%	7%	66	-1.1	207/261/311	104	269	10	3	26%	7%	59	-0.8
✕Chris Meyers 2022 · A	23	40→45	41→50	51→40	45	197/267/298	101	259	8	11	26%	7%	61	-1.5	220/278/357	137	292	15	6	29%	6%	79	-0.2	222/283/366	144	287	17	3	28%	6%	80	-0.1
✕Adrian Del Castillo 2023 · A	23	35→45	43→55	52→40	41	182/244/292	111	252	10	7	31%	7%	51	-2.2	214/284/360	146	291	16	3	30%	8%	82	-0.0	228/294/410	182	286	22	1	28%	8%	95	+0.6
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	207/286/310	103	278	7	6	27%	8%	72	-0.7	220/287/309	89	313	7	4	29%	8%	71	-0.8	220/290/306	86	311	8	1	30%	8%	68	-0.3
✕Adrian Nieto 2013 · A	23	42→47	41→45	46→40	43	206/267/306	100	290	9	5	31%	8%	63	-1.4	219/285/334	115	304	11	4	29%	8%	76	-0.4	211/284/322	111	292	11	2	29%	9%	71	-0.4
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Francisco Acuna 2023 · A	23	41→48	41→45	47→50	42	198/274/300	102	281	8	11	31%	7%	65	-1.2	216/287/309	93	288	7	13	26%	7%	71	-0.8	203/287/297	95	268	8	17	26%	8%	67	-0.6
✕BJ Murray 2022 · A	22	45→49	42→45	52→50	39	215/264/323	107	311	9	8	33%	6%	65	-1.2	220/302/339	119	304	11	10	29%	10%	84	+0.1	206/292/336	129	262	15	14	26%	10%	77	-0.3
✕Chase Strumpf 2021 · A	23	44→37	41→50	49→45	42	208/284/313	105	305	8	7	32%	7%	71	-0.8	197/291/331	134	305	14	5	37%	10%	79	-0.2	181/287/328	147	281	17	4	38%	11%	74	-0.4
✕Christian Lara 2008 · A	23	42→49	39→45	49→50	43	203/264/292	89	282	7	10	29%	7%	58	-1.7	213/263/307	94	309	6	10	31%	6%	61	-1.5	221/272/322	101	300	8	9	28%	6%	65	-0.8
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Raul Beracierta 2022 · A	23	42	44→50	50	37	205/259/332	127	312	11	8	36%	6%	65	-1.2	226/273/354	128	337	14	5	35%	5%	76	-0.4	233/275/366	133	341	18	1	36%	4%	76	-0.3
✕Elih Marrero 2021 · A	24	44	39→40	49→55	44	210/266/295	85	273	6	7	25%	7%	59	-1.7	214/286/290	76	305	4	21	28%	9%	66	-1.1	210/267/320	110	294	8	22	29%	6%	62	-0.4
✕James Free 2022 · A	24	41→45	40→45	48→30	43	195/266/289	94	298	7	6	35%	8%	58	-1.7	221/276/340	119	295	13	3	28%	7%	74	-0.6	226/281/354	129	289	16	1	27%	6%	77	-0.2
✕Kyler Fedko 2023 · A	23	43→42	42→50	51→55	47	210/284/319	109	280	9	10	27%	8%	72	-0.7	203/288/320	117	266	12	14	26%	10%	74	-0.5	197/276/341	144	245	18	22	27%	9%	73	-0.4

Career Stats + Projections

Career Comps

Career Path Comps