Angel Ortiz — OGILVIE

Angel OrtizCF Amarillo Sod Poodles

Age 23 L/L 6'0" / 180 lbs AA HR -11% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION480 act + 9 ros · stats below = ROS only

showingROS

wRC+†81

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP285

ISO133

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 40

Toolsscout grade

CONTACT45

scouting grade only

POWER40

scouting grade only

EYE40

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Arb-1	$2M	+0.3	$0.8M	+$0.0M (cut)
2033	Arb-2	$3M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$5M	+$2M

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	ACL D-backs	—	129	111	26	2	0	3	15	22	0	5	3	234	325	333	659	99	258	17	12	297	87	-2	-0	—	—	+3	0.1
2022	19	ROK	ACL D-backs Black	—	179	166	41	9	3	2	13	35	0	4	3	247	302	373	675	127	302	20	7	302	91	-2	-0	—	—	+4	0.1
2024	21	A	Visalia Rawhide	—	376	327	98	22	5	8	37	70	8	4	6	300	384	471	855	171	357	19	10	377	141	+18	-2	—	—	+8	2.5
2024	21	INTL	Tigres del Licey	—	67	58	16	3	1	2	8	18	1	0	0	276	373	466	839	190	368	27	12	373	139	+3	+0	—	—	+1	0.5
2025	22	A+	Hillsboro Hops	—	494	433	115	26	4	11	46	96	3	3	3	266	340	420	761	155	308	19	9	332	111	+6	-1	—	—	+11	1.7
2025	22	INTL	Tigres del Licey	—	45	42	9	3	0	0	2	11	0	0	0	214	250	286	536	71	281	24	4	237	47	-3	+0	—	—	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	ACL D-backs	—	129	117	22	2	0	2	9	32	0	5	3	188	246	256	502	68	217	25	7	226	39	-9	-0	—	—	+3	-0.7
2022	19	ROK MLE	ACL D-backs Black	—	179	171	30	6	2	2	8	51	0	4	3	175	212	269	481	94	234	28	4	203	24	-16	-0	—	—	+4	-1.3
2024	21	A MLE	Visalia Rawhide	—	376	337	83	18	4	6	27	93	8	4	6	246	317	377	694	131	312	25	7	303	91	-4	-2	—	—	+8	0.3
2025	22	A+ MLE	Hillsboro Hops	—	494	451	94	21	3	9	28	134	3	3	3	208	259	328	587	120	253	27	6	254	58	-25	-1	—	—	+11	-1.5
2021	18	ROK MLE	ACL D-backs	—	129	117	22	2	0	2	9	32	0	5	3	188	246	256	502	68	233	25	7	226	39	—	—	—	—	—	—
2021	18	ROK RAW	ACL D-backs	—	129	111	26	2	0	3	15	22	0	5	3	234	325	333	659	99	258	17	12	297	39	—	—	—	—	—	—
2022	19	ROK MLE	ACL D-backs Black	—	179	171	30	6	2	2	8	51	0	4	3	175	212	269	481	94	237	28	4	203	24	—	—	—	—	—	—
2022	19	ROK RAW	ACL D-backs Black	—	179	166	41	9	3	2	13	35	0	4	3	247	302	373	675	127	302	20	7	302	24	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	443	399	99	21	5	8	31	109	9	4	6	248	317	386	703	138	319	25	7	303	91	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	443	385	114	25	6	10	45	88	9	4	6	296	383	470	853	174	359	20	10	376	91	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	539	493	102	23	3	10	30	146	3	3	3	207	257	327	583	120	263	27	6	254	58	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	539	475	124	29	4	11	48	107	3	3	3	261	333	408	741	147	305	20	9	324	58	—	—	—	—	—	—
2021	18	ROK MLE	ACL D-backs	—	129	119	22	2	0	2	9	32	0	5	3	185	246	252	498	67	217	25	7	226	39	—	—	—	—	—	—
2022	19	ROK MLE	ACL D-backs Black	—	179	169	30	6	2	2	8	51	0	4	3	178	212	272	484	95	234	28	4	203	24	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	443	400	99	21	5	8	31	109	9	4	6	247	317	385	702	138	312	25	7	303	91	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	539	501	102	23	3	10	30	146	3	3	3	204	257	321	578	118	253	27	6	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	2 teams	—	443	400	99	21	5	8	31	109	9	4	6	247	317	385	702	138	312	25	7	303	91	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	539	501	102	23	3	10	30	146	3	3	3	204	257	321	578	118	253	27	6	254	58	—	—	—	—	—	—
YTD	23	AA MLE	ARI	—	480	433	97	22	5	15	34	136	2	19	3	224	284	402	685	178	284	28	7	292	84	-9	+3	+0	+2	+10	0.5
▸ 2026 season
YTD	23	AA RAW	ARI	—	330	288	76	21	4	13	32	82	2	15	3	264	342	500	842	236	317	25	10	360	84	—	—	—	—	—	—
YTD	23	AAA RAW	ARI	—	150	131	35	5	2	6	16	28	0	4	0	267	347	473	820	206	296	19	11	355	84	—	—	—	—	—	—
ROS	23	AA MLE	ARI	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		278	22	11	288	81	-0	+0	+0	+0	+0	0.0
TOT	23	AA MLE	ARI	—	489	441	98	22	5	15	35	138	2	19	3	222	282	397	679	175	281	28	7	292	84	-10	+3	+0	+2	+11	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	ARI	31%	534	489	109	24	5	14	37	141	3	12	3	223	282	378	660	155	280	26	7	293	84	-10	+1	+0	+2	+12	0.5
2028	25	MLB MLE	ARI	45%	568	519	118	26	5	16	40	147	4	13	3	227	288	389	677	162	281	26	7	298	88	-8	+1	+0	+2	+12	0.7
2029	26	MLB MLE	ARI	51%	585	533	121	26	5	17	43	151	4	13	3	227	290	390	680	163	281	26	7	300	89	-8	+1	+0	+2	+13	0.9
2030	27	MLB MLE	ARI	53%	591	538	122	26	5	17	44	152	4	13	3	227	290	388	679	162	282	26	7	301	90	-7	+1	+0	+2	+13	0.9
2031	28	MLB MLE	ARI	53%	590	537	122	26	5	17	44	153	4	12	3	227	291	389	680	162	281	26	7	300	89	-8	+1	-1	+2	+13	0.8
2032	29	MLB MLE	ARI	53%	583	530	119	26	5	16	44	152	4	11	3	225	289	383	672	158	281	26	8	298	88	-8	+1	-1	+2	+13	0.6
2033	30	MLB MLE	ARI	52%	574	521	116	25	4	16	44	151	4	10	2	223	288	378	666	155	280	26	8	296	86	-9	+1	-2	+2	+12	0.4
2034	31	MLB MLE	ARI	52%	561	510	112	24	4	15	42	149	4	9	2	220	284	371	655	151	278	27	7	292	84	-11	+1	-3	+2	+12	0.1
2035	32	MLB MLE	ARI	56%	543	494	107	23	4	14	41	147	3	7	2	217	281	364	645	148	274	27	8	286	80	-13	+1	-4	+2	+12	-0.2
2027	24	MLB CTX	ARI	31%	166	153	35	8	2	4	11	44	1	4	1	229	285	386	670	157	287	27	7	292	84	-3	+0	+0	+1	+4	0.2
2028	25	MLB CTX	ARI	45%	253	231	53	12	2	7	18	66	2	6	1	229	291	390	680	160	288	26	7	296	88	-4	+1	+0	+1	+5	0.3
2029	26	MLB CTX	ARI	51%	298	272	63	14	3	8	22	77	2	7	2	232	294	393	687	162	289	26	7	298	89	-4	+1	+0	+1	+6	0.4
2030	27	MLB CTX	ARI	53%	310	282	65	15	3	8	23	80	2	7	2	230	293	390	683	160	289	26	7	299	90	-4	+1	+0	+1	+7	0.5
2031	28	MLB CTX	ARI	53%	315	286	67	15	3	9	24	82	2	7	2	234	298	402	700	168	288	26	8	298	89	-4	+1	-0	+1	+7	0.4
2032	29	MLB CTX	ARI	53%	306	278	64	15	3	8	23	80	2	6	1	230	294	392	686	162	288	26	8	297	88	-4	+1	-1	+1	+7	0.3
2033	30	MLB CTX	ARI	52%	299	272	62	14	3	8	23	79	2	5	1	228	293	390	683	162	287	26	8	294	86	-5	+1	-1	+1	+6	0.2
2034	31	MLB CTX	ARI	52%	291	265	58	13	2	7	22	78	2	4	1	219	284	362	646	143	285	27	8	290	84	-6	+0	-1	+1	+6	0.1
2035	32	MLB CTX	ARI	56%	304	276	61	14	3	7	23	82	2	4	1	221	286	370	655	149	281	27	8	285	80	-7	+0	-2	+1	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2542	2315	528	120	24	66	189	668	17	50	12	228	291	386	677	158	290	26	7	295	82	-41	+5	-6	+9	+55	2.3
/ 162G	—	A+C		—	650	592	135	31	6	17	48	171	4	13	3	228	290	387	677	159	290	26	7	295	82	-10	+1	-1	+2	+14	0.6
Career	—	MLE		—	6428	5859	1300	278	52	164	458	1683	46	116	39	222	284	371	655	149	280	26	7	289	82	-83	+10	-10	+18	+111	4.8
/ 162G	—	MLE		—	650	592	132	28	5	17	46	170	5	12	4	223	285	373	658	150	280	26	7	289	82	-10	+1	-1	+2	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#2Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#3Bobby 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
#4Danny 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
#5Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#6Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.8	2,549	71	49	225	285	383	+9	+10	4.1	4.0
/162	664	18	13	+2.4	+2.6	1.1	pk7: 4

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
Angel Ortiz (OGILVIE)	23	45	40	40	40	217/274/370	153	278	8	9	27%	7%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richie Fecteau 2018 · A	24	46	43→45	44→40	45	227/281/338	110	271	11	5	21%	6%	75	-0.5	211/257/315	104	310	8	5	33%	5%	60	-1.6	188/228/286	98	301	6	2	38%	4%	39	-1.7
✕Orlando Martinez 2021 · A	23	43→49	45	44→50	41	217/263/341	124	278	13	7	27%	6%	68	-1.0	216/260/337	121	291	12	8	29%	5%	67	-1.1	231/294/322	92	284	6	11	20%	8%	74	-0.3
✕Dustin Hahn 2006 · A	23	49→51	43→45	44→40	44	240/291/353	113	303	10	5	24%	6%	82	-0.0	212/265/301	89	312	7	6	32%	6%	60	-1.6	139/195/160	20	252	0	3	42%	6%	-1	-1.6
✕Emerson Frostad 2006 · A	23	44→48	47→50	43→40	46	223/277/359	136	263	15	6	22%	6%	78	-0.3	229/282/374	145	293	15	5	26%	7%	84	+0.1	226/280/369	144	294	14	4	27%	7%	80	-0.1
✕Joe Rizzo 2022 · AA	24	45→48	45→50	41→40	41	226/274/348	122	292	14	5	27%	6%	74	-0.5	226/276/364	138	282	16	4	25%	6%	79	-0.2	223/273/364	141	271	17	2	24%	6%	74	-0.4
✕Ryne Birk 2018 · AA	23	44→43	46→45	43→50	40	221/263/346	124	273	14	6	24%	5%	70	-0.8	202/255/285	83	263	6	11	24%	6%	53	-2.1	179/237/236	57	237	1	12	23%	6%	34	-2.7
✕Luis González 2019 · A	23	48→52	44→45	44→50	43	232/285/358	126	305	10	6	27%	7%	81	-0.1	220/277/326	106	280	10	13	24%	7%	70	-0.8	231/309/344	113	297	12	22	25%	9%	84	+0.1
✕Greg Cullen 2021 · A	24	46→44	41→40	43→40	48	220/302/323	103	278	8	3	23%	8%	80	-0.2	230/321/334	104	308	10	5	26%	10%	90	+0.6	230/333/323	93	312	9	4	26%	12%	90	+0.2
✕Austin Davidson 2017 · A	24	44→43	44→45	43→45	48	217/287/334	117	253	11	6	19%	7%	77	-0.3	221/282/334	113	278	9	6	23%	7%	74	-0.5	215/276/323	108	274	9	5	23%	7%	67	-0.7
✕Tyler Saladino 2012 · A	23	44→47	47→45	45→55	43	218/283/362	143	294	13	7	29%	7%	82	-0.0	219/288/314	95	284	7	20	24%	8%	72	-0.7	253/298/364	112	301	10	25	19%	5%	85	+0.2
✕Luis Liberato 2019 · A	23	42→49	47→50	44→50	41	212/259/350	138	282	14	6	30%	6%	70	-0.9	225/271/352	127	297	14	7	28%	6%	74	-0.5	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Ernie De La Trinidad 2019 · A	23	50→53	42→40	40	48	241/309/346	105	292	10	6	20%	7%	87	+0.4	219/282/311	92	287	9	5	25%	6%	70	-0.9	203/267/290	86	277	9	3	28%	5%	57	-1.0
✕Bijan Rademacher 2015 · A	24	48→49	42→45	43→45	44	233/292/345	112	304	9	6	26%	7%	80	-0.1	242/310/353	111	304	9	5	22%	8%	89	+0.5	248/319/357	108	305	9	4	20%	9%	90	+0.4
✕Zach DeLoach 2022 · AA	23	45→51	46→45	45→50	43	222/287/358	136	309	13	7	31%	7%	82	-0.0	225/299/349	124	322	13	8	31%	9%	84	+0.2	223/301/339	116	322	12	10	32%	9%	81	-0.1
✕Jimmy Herron 2019 · A	23	45	44→45	41→55	46	222/285/331	109	272	12	6	23%	7%	76	-0.4	197/269/292	95	258	8	14	25%	8%	61	-1.5	219/295/351	133	265	15	24	23%	8%	81	-0.0
✕Jose Vizcaino Jr. 2017 · A	23	45→42	43→45	41→45	42	220/278/332	113	294	10	6	28%	6%	73	-0.6	210/259/299	89	316	7	8	34%	5%	57	-1.8	197/241/272	74	307	6	8	36%	4%	42	-2.1
✕Zach Fisher 2014 · A	22	43	43→50	43→30	45	213/267/330	117	256	10	3	21%	6%	68	-1.0	230/281/356	126	294	12	4	25%	6%	79	-0.2	247/294/394	146	309	16	0	25%	6%	89	+0.2
✕Joshua Noviskey 2006 · A	23	45	44→45	44→30	48	221/289/341	119	282	11	4	25%	8%	79	-0.2	212/281/325	113	277	12	5	27%	8%	72	-0.7	184/261/277	93	232	14	1	26%	8%	53	-0.9
✕Matt Thaiss 2018 · AA	23	49→50	41→50	43→45	48	237/303/341	104	295	8	6	22%	8%	84	+0.1	223/287/361	138	276	14	5	24%	8%	82	+0.0	222/303/377	155	275	18	4	25%	10%	90	+0.5
✕Nicky Delmonico 2015 · A	23	40→47	47→50	46→45	43	206/271/340	134	280	15	8	31%	7%	72	-0.7	225/282/366	141	294	13	6	27%	7%	82	-0.0	230/299/381	151	284	16	4	24%	8%	89	+0.4

Career Stats + Projections

Career Comps

Career Path Comps