Randy Flores — OGILVIE

Randy FloresSS ACL Angels

Age 25 L/R 5'9" / 180 lbs ROK K +5%HR +4% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 83 proj PA

wRC+†73

AVG/OBP/SLG.216 / .277 / .333

PA7

HR0

K%27

BB%7

ISO118

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	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)
2024	23	A	Inland Empire 66ers	—	92	79	16	4	0	2	8	12	2	4	1	203	292	329	621	127	209	13	9	276	73	-3	+0	—	—	+2	-0.1
2025	24	ROK	ACL Angels	—	30	25	6	4	1	0	5	5	0	0	0	240	367	480	847	240	300	17	17	371	138	+1	+0	—	—	+1	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	23	A MLE	Inland Empire 66ers	—	92	82	14	3	0	2	5	17	2	4	1	171	236	280	516	110	180	18	5	234	45	-6	+0	—	—	+2	-0.4
2025	24	ROK MLE	ACL Angels	—	30	27	5	3	1	0	3	7	0	0	0	185	267	370	637	185	217	23	10	241	49	-2	+0	—	—	+1	-0.1
2024	23	A MLE	Inland Empire 66ers	—	92	82	14	3	0	2	5	17	2	4	1	171	236	280	516	110	185	18	5	234	45	—	—	—	—	—	—
2024	23	A RAW	Inland Empire 66ers	—	92	79	16	4	0	2	8	12	2	4	1	203	292	329	621	127	209	13	9	276	45	—	—	—	—	—	—
2025	24	ROK MLE	ACL Angels	—	30	27	5	3	1	0	3	7	0	0	0	185	267	370	637	185	250	23	10	241	49	—	—	—	—	—	—
2025	24	ROK RAW	ACL Angels	—	30	25	6	4	1	0	5	5	0	0	0	240	367	480	847	240	300	17	17	371	49	—	—	—	—	—	—
2024	23	A MLE	Inland Empire 66ers	—	92	85	14	3	0	2	5	17	2	4	1	165	236	271	507	106	180	18	5	234	45	—	—	—	—	—	—
2025	24	ROK MLE	ACL Angels	—	30	27	5	3	1	0	3	7	0	0	0	185	267	370	637	185	217	23	10	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	23	A MLE	Inland Empire 66ers	—	92	85	14	3	0	2	5	17	2	4	1	165	236	271	507	106	180	18	5	234	45	—	—	—	—	—	—
2025	24	ROK MLE	ACL Angels	—	30	27	5	3	1	0	3	7	0	0	0	185	267	370	637	185	217	23	10	241	49	—	—	—	—	—	—
▸ 2026 season
2026	25	MLB MLE	LAA	0%	7	7	1	0	0	0	0	2	0	0	0	143	143	143	286		288	29	0	276	73	-0	+0	+0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	LAA	30%	140	128	29	6	1	3	10	38	1	2	1	227	288	359	647	133	288	27	7	282	77	-4	+0	+0	+2	+3	0.1
2028	27	MLB MLE	LAA	42%	228	207	46	10	2	4	17	60	2	4	1	222	288	348	635	126	288	26	7	285	79	-6	+0	+0	+2	+5	0.2
2029	28	MLB MLE	LAA	48%	289	263	58	12	2	6	21	76	3	5	1	221	286	350	636	129	288	26	7	286	80	-7	+1	-1	+3	+6	0.2
2030	29	MLB MLE	LAA	49%	322	292	65	14	2	6	24	85	3	5	1	223	288	346	634	123	288	26	7	286	79	-8	+1	-1	+3	+7	0.2
2031	30	MLB MLE	LAA	50%	344	311	68	14	2	7	26	92	4	5	1	219	287	344	631	125	287	27	8	283	78	-9	+1	-2	+4	+7	0.1
2027	26	MLB CTX	LAA	30%	42	39	9	2	0	1	3	11	0	1	0	231	286	359	645	128	287	26	7	274	77	-1	+0	+0	+0	+1	0.0
2028	27	MLB CTX	LAA	42%	95	87	20	4	1	2	7	25	1	2	0	230	295	368	663	138	288	26	7	277	79	-2	+0	+0	+1	+2	0.1
2029	28	MLB CTX	LAA	48%	138	126	28	6	1	3	10	36	1	2	1	222	285	357	642	135	288	26	7	279	80	-3	+0	-0	+1	+3	0.1
2030	29	MLB CTX	LAA	49%	158	143	32	7	1	3	12	42	2	2	1	224	293	350	643	126	287	27	8	278	79	-4	+0	-1	+2	+3	0.1
2031	30	MLB CTX	LAA	50%	173	156	34	7	1	3	13	46	2	2	1	218	287	333	620	115	286	27	8	275	78	-5	+0	-1	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	606	551	123	26	4	12	45	160	6	9	3	223	289	350	639	127	291	26	7	277	76	-15	+1	-2	+6	+13	0.3
/ 162G	—	A+C		—	650	591	132	28	4	13	48	172	6	10	3	223	288	350	638	127	291	26	7	277	76	-16	+1	-2	+7	+14	0.3
Career	—	MLE		—	1452	1317	286	62	10	28	106	377	15	25	6	217	283	343	626	126	280	26	7	280	76	-34	+2	-4	+14	+29	0.8
/ 162G	—	MLE		—	650	590	128	28	4	13	47	169	7	11	3	217	283	344	627	127	279	26	7	280	76	-16	+1	-2	+7	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Adam 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
#3Guillermo 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	+1.2	+7.6	1.5	pk7: 3
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.0	689	13	11	222	284	347	+7	+9	1.0	1.0
/162	664	13	10	+7.1	+8.7	1.0	pk7: 1
#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
#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
Randy Flores (OGILVIE)	25	—	—	—	—	216/277/333	117	288	1	1	27%	7%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Logan Driscoll 2023 · A	25	42→47	44→45	48→40	42	209/277/328	119	296	12	6	32%	7%	72	-0.7	228/284/344	116	308	11	5	28%	6%	78	-0.3	232/290/345	114	313	10	3	28%	6%	77	-0.2
✕Sean Jamieson 2014 · A	25	43→45	43→45	50	44	212/278/331	119	279	10	12	27%	7%	72	-0.7	231/289/332	101	313	8	9	27%	6%	76	-0.4	234/293/322	88	321	6	7	27%	6%	72	-0.4
✕Matthew Acosta 2022 · A	24	45	43→45	53→50	47	217/290/334	118	298	10	9	29%	9%	78	-0.3	205/272/314	109	298	10	13	32%	8%	67	-1.1	179/250/276	97	261	10	16	34%	8%	48	-1.5
✕César Salazar 2021 · A	25	44→41	41→45	46→45	42	214/267/309	95	266	8	8	23%	5%	63	-1.3	209/278/339	130	256	15	8	24%	6%	75	-0.5	203/308/311	108	241	12	6	20%	9%	79	-0.1
✕Michael Fransoso 2015 · A	25	45	45	49→50	50	224/294/348	124	269	13	8	22%	8%	82	+0.0	211/277/290	79	262	6	11	21%	7%	63	-1.4	189/259/215	26	234	0	13	18%	7%	38	-1.3
✕Austin Davidson 2018 · A	25	44→43	41→45	46→45	46	215/278/318	103	271	8	7	23%	7%	70	-0.9	222/283/336	114	279	9	6	23%	7%	75	-0.5	221/284/341	121	270	10	3	21%	7%	74	-0.3
✕Matt Lloyd 2021 · A	25	44	46→45	46→50	41	217/277/346	129	311	13	9	33%	7%	76	-0.4	213/281/359	146	311	17	7	35%	7%	80	-0.1	216/290/343	127	289	14	12	29%	9%	80	-0.1
✕Seth Bynum 2006 · A	25	45→43	43→50	50	44	218/278/336	118	287	10	9	27%	7%	74	-0.6	212/267/313	101	290	9	8	28%	6%	63	-1.3	215/257/351	136	285	16	5	30%	5%	66	-0.8
✕Chris Meyers 2023 · A	24	42→45	44→50	51→40	43	210/272/331	121	280	12	9	28%	7%	70	-0.8	225/283/368	143	295	17	5	29%	6%	83	+0.1	222/283/366	144	287	17	3	28%	6%	80	-0.1
✕Morgan McCullough 2023 · AA	25	44	43→45	46→50	45	213/295/327	115	301	10	10	31%	8%	78	-0.3	205/286/325	120	295	11	14	32%	9%	75	-0.5	189/275/311	122	271	11	17	32%	9%	67	-0.5
✕Drew Campbell 2023 · A	25	49→50	43→50	50	40	235/280/341	106	317	10	12	28%	5%	74	-0.5	230/276/350	120	314	13	13	30%	5%	76	-0.4	225/265/361	136	299	18	15	30%	3%	73	-0.3
✕Jackson Brennan 2008 · A	25	44→42	42→45	47→50	47	211/303/316	105	285	9	10	27%	8%	80	-0.2	211/299/300	89	300	7	10	29%	9%	74	-0.5	171/289/188	17	273	0	6	32%	12%	44	-0.5
✕Patrick Dorrian 2021 · A	25	42→38	42→50	51→45	40	204/259/318	114	293	9	7	32%	6%	62	-1.4	196/263/336	140	295	16	6	37%	8%	69	-0.9	185/255/332	147	273	18	5	38%	8%	61	-1.0
✕Christian Stringer 2015 · A	25	46	44→50	52→50	45	226/276/340	114	261	11	8	18%	6%	74	-0.6	228/278/334	106	274	7	11	19%	6%	73	-0.6	239/290/344	105	281	2	16	15%	5%	76	-0.2
✕Taylor Grzelakowski 2018 · A	24	43	41→45	50→30	42	210/261/306	96	282	8	8	28%	6%	60	-1.6	213/275/308	95	322	7	3	33%	7%	65	-1.2	206/272/297	91	310	6	1	33%	8%	60	-0.8
✕Trey Hair 2021 · A	26	48	42→55	49→45	42	229/286/339	110	300	8	9	26%	6%	77	-0.3	226/286/409	183	298	25	7	32%	6%	95	+0.9	212/273/411	198	266	29	5	32%	6%	87	+0.2
✕Mark Fleury 2012 · A	24	43→40	44→45	49→45	45	213/281/332	119	290	11	6	29%	8%	74	-0.6	196/273/283	87	309	5	7	35%	9%	60	-1.6	148/243/204	56	246	1	2	36%	10%	32	-1.4
✕Bobby Kingsbury 2007 · A	26	42→44	45→50	47→50	44	210/277/340	130	280	12	8	29%	7%	74	-0.5	221/280/343	122	284	11	13	25%	7%	76	-0.4	218/277/346	129	274	11	14	24%	7%	74	-0.4
✕Mitchell Tolman 2019 · A	25	45→47	40→45	46→50	47	213/291/303	89	294	7	10	28%	9%	71	-0.8	214/282/312	98	298	8	9	29%	7%	70	-0.9	217/287/331	114	285	10	8	26%	7%	73	-0.4
✕Kyle Datres 2021 · A	25	42	47→50	52→55	42	211/281/355	143	283	14	15	30%	7%	80	-0.2	210/290/349	139	286	16	22	31%	8%	82	-0.0	203/288/338	135	274	17	27	31%	9%	77	-0.2

Career Stats + Projections

Career Comps

Career Path Comps