Angel Cruz — OGILVIE

Angel CruzSS FCL Tigers

Age 24 R/R 5'11" / 165 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†64

AVG/OBP/SLG.206 / .266 / .310

PA5

HR0

K%30

BB%6

ISO105

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

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	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2019	17	ROK	DSL Tigers 2	—	254	225	58	14	2	1	22	42	4	8	5	258	335	351	686	93	310	17	9	310	96	-1	-0	—	—	+6	0.4
2022	20	ROK	DSL Tigers 2	—	75	69	20	7	0	0	3	17	3	0	2	290	347	391	738	101	385	23	4	334	112	+1	-1	—	—	+2	0.2
2023	21	ROK	DSL Tigers 1	—	163	140	44	9	0	6	12	30	7	7	3	314	396	507	903	193	352	18	7	391	151	+10	+0	—	—	+4	1.4
2024	22	ROK	FCL Tigers	—	68	62	16	2	1	2	3	17	2	5	1	258	313	419	733	161	318	25	4	322	104	+0	+1	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	17	ROK MLE	DSL Tigers 2	—	254	233	42	9	1	1	14	60	4	8	5	180	239	240	479	60	233	24	6	213	30	-21	-0	—	—	+6	-1.6
2022	20	ROK MLE	DSL Tigers 2	—	75	70	14	4	0	0	2	25	3	0	2	200	253	257	510	57	309	33	3	227	40	-5	-1	—	—	+2	-0.5
2023	21	ROK MLE	DSL Tigers 1	—	163	145	34	7	0	5	7	43	7	7	3	234	302	386	688	152	274	26	4	298	88	-2	+0	—	—	+4	0.1
2024	22	ROK MLE	FCL Tigers	—	68	63	11	1	1	1	2	25	2	5	1	175	224	270	494	95	259	37	3	227	40	-5	+1	—	—	+1	-0.3
2019	17	ROK MLE	DSL Tigers 2	—	254	233	42	9	1	1	14	60	4	8	5	180	239	240	479	60	236	24	6	213	30	—	—	—	—	—	—
2019	17	ROK RAW	DSL Tigers 2	—	254	225	58	14	2	1	22	42	4	8	5	258	335	351	686	93	310	17	9	310	30	—	—	—	—	—	—
2022	20	ROK MLE	DSL Tigers 2	—	75	70	14	4	0	0	2	25	3	0	2	200	253	257	510	57	311	33	3	227	40	—	—	—	—	—	—
2022	20	ROK RAW	DSL Tigers 2	—	75	69	20	7	0	0	3	17	3	0	2	290	347	391	738	101	385	23	4	334	40	—	—	—	—	—	—
2023	21	ROK MLE	DSL Tigers 1	—	163	145	34	7	0	5	7	43	7	7	3	234	302	386	688	152	287	26	4	298	88	—	—	—	—	—	—
2023	21	ROK RAW	DSL Tigers 1	—	163	140	44	9	0	6	12	30	7	7	3	314	396	507	903	193	352	18	7	391	88	—	—	—	—	—	—
2024	22	ROK MLE	FCL Tigers	—	68	63	11	1	1	1	2	25	2	5	1	175	224	270	494	95	263	37	3	227	40	—	—	—	—	—	—
2024	22	ROK RAW	FCL Tigers	—	68	62	16	2	1	2	3	17	2	5	1	258	313	419	733	161	318	25	4	322	40	—	—	—	—	—	—
2019	17	ROK MLE	DSL Tigers 2	—	254	234	42	9	1	1	14	60	4	8	5	179	239	239	478	60	233	24	6	213	30	—	—	—	—	—	—
2022	20	ROK MLE	DSL Tigers 2	—	75	70	14	4	0	0	2	25	3	0	2	200	253	257	510	57	309	33	3	227	40	—	—	—	—	—	—
2023	21	ROK MLE	DSL Tigers 1	—	163	148	34	7	0	5	7	43	7	7	3	230	302	378	680	149	274	26	4	298	88	—	—	—	—	—	—
2024	22	ROK MLE	FCL Tigers	—	68	64	11	1	1	1	2	25	2	5	1	172	224	266	490	94	259	37	3	227	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	ROK MLE	DSL Tigers 1	—	163	148	34	7	0	5	7	43	7	7	3	230	302	378	680	149	274	26	4	298	88	—	—	—	—	—	—
2024	22	ROK MLE	FCL Tigers	—	68	64	11	1	1	1	2	25	2	5	1	172	224	266	490	94	259	37	3	227	40	—	—	—	—	—	—
▸ 2026 season
2026	24	MLB MLE	DET	0%	5	5	1	0	0	0	0	1	0	0	0	200	200	200	400		285	20	0	263	64	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	DET	29%	96	89	19	3	1	2	6	28	1	2	0	213	271	337	608	124	286	29	6	271	70	-3	+0	+0	+1	+2	0.0
2028	26	MLB MLE	DET	44%	210	191	40	7	1	4	14	60	3	4	1	209	274	319	593	110	287	29	7	277	73	-7	+0	+0	+2	+5	0.1
2029	27	MLB MLE	DET	52%	282	257	56	10	2	6	19	80	4	5	1	218	282	342	625	125	287	28	7	279	75	-8	+1	+0	+3	+6	0.1
2030	28	MLB MLE	DET	57%	329	298	65	12	2	7	23	93	5	5	1	218	285	342	628	124	287	28	7	280	75	-10	+1	-1	+4	+7	0.1
2031	29	MLB MLE	DET	59%	352	320	68	12	2	7	24	100	5	5	1	212	278	328	606	116	286	28	7	278	74	-11	+1	-1	+4	+8	-0.0
2027	25	MLB CTX	DET	29%	28	26	6	1	0	1	2	8	0	0	0	231	286	385	670	154	281	29	7	256	70	-1	+0	+0	+0	+1	-0.0
2028	26	MLB CTX	DET	44%	92	85	18	3	1	2	6	26	1	2	0	212	272	341	613	129	282	28	7	261	73	-3	+0	+0	+1	+2	0.0
2029	27	MLB CTX	DET	52%	146	133	28	5	1	3	10	41	2	2	1	211	276	331	607	120	282	28	7	264	75	-4	+0	+0	+2	+3	0.0
2030	28	MLB CTX	DET	57%	187	169	36	6	1	4	13	53	3	3	1	213	281	331	612	118	282	28	7	264	75	-5	+0	-0	+2	+4	0.0
2031	29	MLB CTX	DET	59%	209	189	40	7	1	4	15	60	3	3	1	212	280	323	603	111	281	29	7	263	74	-6	+0	-1	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	662	602	128	22	4	14	46	188	9	10	3	213	279	332	611	120	283	28	7	263	67	-20	+1	-1	+7	+14	0.1
/ 162G	—	A+C		—	650	591	126	22	4	14	45	185	9	10	3	213	279	335	614	122	284	28	7	263	67	-20	+1	-1	+7	+14	0.1
Career	—	MLE		—	1834	1671	350	65	10	33	111	515	34	41	15	209	273	320	592	110	279	28	6	267	67	-39	+3	-2	+14	+28	0.3
/ 162G	—	MLE		—	650	592	125	23	4	12	39	183	12	15	5	211	274	324	598	113	281	28	6	267	67	-20	+1	-1	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	/162	664	12	0	209	276	313	+11.9	+22.4	2.6	pk7: 7
#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
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	/162	664	13	20	225	280	350	+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	227	293	367	+2.4	+3.0	1.1	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
	/162	664	11	3	231	311	345	+1.2	+7.6	1.5	pk7: 3
#5Ryan 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
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.1	719	15	11	216	278	337	+8	+9	0.6	0.6
	/162	664	14	11	216	278	337	+7.1	+8.3	0.6	pk7: 1
#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	231	275	323	+4.9	-2.1	-0.4	pk7: -1

Career Stats + Projections

Career Comps

Career Path Comps

		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
Angel Cruz (OGILVIE)	24	—	—	—	—	206/266/310	104	285	1	1	30%	6%	64	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Thurman 2019 · A	25	40	37→30	46→40	32	184/234/252	68	325	5	4	43%	5%	37	-3.3	172/224/256	84	348	8	7	49%	6%	35	-3.4	102/155/171	69	225	9	6	57%	5%	-12	-2.8