Samuel Munoz — OGILVIE

Samuel Munoz1B Great Lakes Loons

Age 21 L/R 6'2" / 190 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION368 act + 10 ros · stats below = ROS only

showingROS

wRC+†56

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP244

ISO105

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 55 / POW 50

Toolsscout grade

CONTACT55

scouting grade only

POWER50

scouting grade only

EYE50

scouting grade only

SPEED40

scouting grade only

DEFENSE50

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	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)
2022	17	ROK	DSL LAD Mega	—	210	173	60	12	5	1	26	34	4	4	5	347	443	491	935	145	407	16	12	403	159	+15	-1	—	—	+5	1.8
2023	18	ROK	ACL Dodgers	—	240	216	59	10	7	2	21	41	1	9	2	273	340	412	752	139	326	17	9	333	111	+3	+1	—	—	+5	1.0
2024	19	A	Rancho Cucamonga Quakes	—	385	336	77	15	4	5	39	79	2	6	3	229	313	342	655	113	277	21	10	293	84	-7	+0	—	—	+8	0.1
2025	20	A+	Great Lakes Loons	—	70	60	11	1	0	1	10	14	0	4	0	183	300	250	550	67	222	20	14	264	65	-3	+1	—	—	+2	-0.1
2025	20	A	Rancho Cucamonga Quakes	—	451	375	93	16	6	11	63	100	4	18	6	248	362	411	773	163	300	22	14	342	118	+10	+1	—	—	+10	2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Mega	—	210	184	49	9	3	1	15	50	4	4	5	266	335	364	699	98	325	24	7	305	93	-2	-1	—	—	+5	0.2
2023	18	ROK MLE	ACL Dodgers	—	240	224	45	7	5	1	13	59	1	9	2	201	248	290	538	89	259	25	5	238	47	-15	+1	—	—	+5	-0.9
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	346	61	12	3	4	29	110	2	6	3	176	244	263	507	87	227	29	8	227	40	-28	+0	—	—	+8	-2.0
2025	20	A+ MLE	Great Lakes Loons	—	70	63	10	1	0	1	7	19	0	4	0	159	243	222	465	63	195	27	10	201	22	-6	+1	—	—	+2	-0.4
2025	20	A MLE	Rancho Cucamonga Quakes	—	451	393	76	12	4	9	45	136	4	18	6	193	283	313	596	120	251	30	10	267	67	-18	+1	—	—	+10	-0.7
2022	17	ROK MLE	DSL LAD Mega	—	210	184	49	9	3	1	15	50	4	4	5	266	335	364	699	98	343	24	7	305	93	—	—	—	—	—	—
2022	17	ROK RAW	DSL LAD Mega	—	210	173	60	12	5	1	26	34	4	4	5	347	443	491	935	145	407	16	12	403	93	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	240	224	45	7	5	1	13	59	1	9	2	201	248	290	538	89	265	25	5	238	47	—	—	—	—	—	—
2023	18	ROK RAW	ACL Dodgers	—	240	216	59	10	7	2	21	41	1	9	2	273	340	412	752	139	326	17	9	333	47	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	346	61	12	3	4	29	110	2	6	3	176	244	263	507	87	237	29	8	227	40	—	—	—	—	—	—
2024	19	A RAW	Rancho Cucamonga Quakes	—	385	336	77	15	4	5	39	79	2	6	3	229	313	342	655	113	277	21	10	293	40	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	521	456	86	13	4	10	52	155	4	22	6	189	277	300	578	112	253	30	10	258	61	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	521	435	104	17	6	12	73	114	4	22	6	239	354	389	742	149	289	22	14	332	61	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Mega	—	210	189	49	9	3	1	15	50	4	4	5	259	335	354	689	95	325	24	7	305	93	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	240	224	45	7	5	1	13	59	1	9	2	201	248	290	538	89	259	25	5	238	47	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	351	61	12	3	4	29	110	2	6	3	174	244	259	503	85	227	29	8	227	40	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	521	460	86	13	4	10	52	155	4	22	6	187	277	298	575	111	243	30	10	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Dodgers	—	240	224	45	7	5	1	13	59	1	9	2	201	248	290	538	89	259	25	5	238	47	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	351	61	12	3	4	29	110	2	6	3	174	244	259	503	85	227	29	8	227	40	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	521	460	86	13	4	10	52	155	4	22	6	187	277	298	575	111	243	30	10	258	61	—	—	—	—	—	—
YTD	21	A+ MLE	LAD	—	368	335	58	7	2	6	26	100	4	6	6	173	241	260	501	87	224	27	7	222	36	-28	-1	+0	-7	+8	-2.8
▸ 2026 season
YTD	21	A+ RAW	LAD	—	368	324	68	9	2	7	37	74	4	6	6	210	299	315	613	105	248	20	10	281	36	—	—	—	—	—	—
ROS	21	A+ MLE	LAD	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		248	30	10	251	56	-1	+0	-0	-0	+0	-0.1
TOT	21	A+ MLE	LAD	—	378	344	59	7	2	6	27	103	4	6	6	172	240	256	496	84	223	27	7	223	37	-28	-1	-0	-7	+8	-2.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	35%	563	507	103	16	3	12	46	143	5	8	5	203	276	318	594	114	254	25	8	269	68	-21	-0	-2	-10	+12	-2.2
2027	22	MLB CTX	LAD	35%	195	175	35	5	1	4	16	49	2	3	2	200	275	309	583	109	250	25	8	262	68	-7	-0	-1	-3	+4	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	195	175	35	5	1	4	16	49	2	3	2	200	275	309	583	109	252	25	8	262	61	-7	-0	-1	-3	+4	-0.8
/ 162G	—	A+C		—	650	583	116	17	3	13	53	163	7	10	7	199	273	305	579	106	251	25	8	262	61	-25	-1	-2	-12	+14	-2.5
Career	—	MLE		—	1929	1726	345	57	18	28	156	520	16	49	21	200	272	302	575	103	263	27	8	258	61	-22	-0	-2	-10	+12	-2.2
/ 162G	—	MLE		—	650	582	116	19	6	9	53	175	5	17	7	199	272	299	571	100	262	27	8	258	61	-25	-0	-2	-12	+14	-2.5

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
Samuel Munoz (OGILVIE)	21	35→55	30→50	40	50	189/260/285	95	248	5	5	27%	8%	56	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Grant Lavigne 2021 · A	21	41→47	39→45	42→45	43	198/269/276	78	287	7	7	32%	8%	57	-1.8	209/285/310	101	317	9	5	34%	9%	70	-0.8	203/285/312	108	302	10	4	33%	9%	68	-0.8
✕Ademar Rifaela 2016 · A	21	42→45	42→50	42→45	43	208/268/310	102	280	9	5	28%	7%	63	-1.3	214/260/344	130	305	14	5	33%	5%	68	-1.0	217/264/344	127	311	13	3	33%	5%	68	-0.7
✕Sandber Pimentel 2016 · A	21	43→39	42→50	40→30	45	211/283/312	101	283	10	3	28%	8%	70	-0.8	207/274/341	134	313	17	2	37%	8%	74	-0.5	193/262/337	144	298	20	0	40%	8%	65	-0.7
✕Nelson B Alvarez 2017 · A	21	44	40	43→40	48	211/286/302	91	281	6	3	26%	9%	69	-0.9	175/262/238	63	246	4	6	28%	10%	46	-2.6	105/215/128	23	151	2	6	28%	11%	4	-1.4
✕Brandon Wagner 2017 · A	21	42→49	46→45	42→30	44	211/277/341	130	286	14	5	30%	8%	74	-0.5	206/283/311	105	322	11	2	36%	8%	70	-0.8	188/272/285	97	300	11	1	38%	8%	58	-1.3
✕Carlos Sanchez 2012 · A	21	45	40→50	46→45	46	215/265/316	101	255	7	7	18%	6%	63	-1.3	208/243/326	118	259	10	4	23%	4%	57	-1.8	198/227/330	132	242	12	2	23%	3%	51	-1.0
✕Imanol Vargas 2019 · A	21	42→43	40→50	45	51	200/293/295	95	288	7	9	30%	11%	71	-0.8	206/284/345	139	314	15	7	36%	9%	78	-0.3	204/288/352	148	322	17	2	39%	10%	80	-0.1
✕Aldrem Corredor 2017 · A	21	47→54	37→45	45→40	48	222/287/295	73	288	4	4	23%	8%	67	-1.1	228/272/321	93	308	7	3	27%	5%	67	-1.1	234/275/336	102	308	9	1	27%	5%	69	-0.7
✕Dario Unda 2017 · A	21	47	41→45	44→45	47	227/282/331	104	276	7	7	20%	7%	74	-0.6	221/273/336	115	290	10	7	26%	6%	71	-0.8	209/250/353	145	267	17	6	28%	5%	63	-0.3
✕Ramiro Rodriguez 2019 · A	21	47	42→40	45→50	51	226/301/332	106	263	8	8	17%	8%	81	-0.1	199/278/288	89	283	6	15	29%	9%	63	-1.4	167/252/247	80	245	7	19	32%	9%	44	-0.9
✕Alexander Ovalles 2022 · A	21	45→42	42→50	45→50	45	219/283/328	108	285	10	6	26%	7%	74	-0.6	214/280/332	118	295	12	10	30%	8%	74	-0.6	205/275/327	123	280	13	11	30%	8%	68	-0.5
✕Gabriel Moncada 2023 · A	21	44→41	42→45	44→40	45	211/290/321	110	309	10	5	32%	8%	75	-0.5	191/261/296	105	292	10	3	35%	8%	59	-1.7	171/241/266	95	263	9	1	36%	8%	42	-1.5
✕Cornelius Randolph 2018 · A	21	45→47	42→40	46→45	43	215/283/319	104	308	9	6	31%	8%	72	-0.7	213/274/304	91	298	8	7	29%	7%	64	-1.3	205/266/289	84	286	8	8	29%	7%	55	-1.1
✕Rixon Wingrove 2021 · A	21	43→36	42→50	44→40	42	210/265/319	109	287	9	4	29%	7%	64	-1.3	184/249/309	125	299	15	4	41%	6%	57	-1.8	184/257/333	149	277	19	3	39%	7%	62	-0.8
✕Andrew Pullin 2015 · A	21	48→49	41→50	41→40	42	233/279/324	91	295	9	5	24%	5%	70	-0.8	236/274/358	122	287	12	3	22%	4%	76	-0.4	229/268/374	144	281	14	3	23%	4%	75	-0.3
✕Jadiel Sanchez 2022 · A	21	45→48	41→50	44→40	43	218/273/315	98	285	9	6	26%	7%	66	-1.1	218/273/348	130	266	14	5	23%	6%	74	-0.5	206/262/338	132	247	14	4	23%	6%	67	-0.6
✕Johny Celis 2008 · A	21	47	42→45	42→40	54	227/316/335	107	277	9	7	20%	10%	88	+0.5	216/291/326	110	282	10	4	25%	9%	76	-0.4	205/281/318	113	269	10	1	26%	9%	69	-0.4
✕Rainer Nunez 2022 · A	21	40→50	45	43→30	46	205/269/326	121	255	13	3	25%	8%	68	-1.0	230/270/354	124	308	15	2	29%	5%	74	-0.5	230/271/345	115	307	14	1	29%	5%	70	-0.7
✕Blake Rutherford 2018 · A	21	47→53	38→45	47→50	43	223/272/309	85	296	5	7	26%	6%	64	-1.3	230/270/322	92	319	7	10	28%	5%	66	-1.1	228/262/340	112	296	10	7	26%	3%	65	-0.9
✕John Whittleman 2008 · A	21	41→43	44→50	42→45	48	204/276/324	121	273	11	5	29%	9%	70	-0.8	200/281/314	114	274	10	3	28%	10%	70	-0.8	174/260/322	148	233	18	1	32%	10%	63	-1.0