Samuel Munoz

1B Great Lakes Loons

Age 22 L/R 6'2" / 190 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTFG #1006MiLBFA 2034

ETA2029FG ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	A+LAD	70	.183/.300/.250	1	4	28	—	.159/.243/.222
2025	20	ALAA	451	.248/.362/.411	11	18	66	—	.195/.283/.312
2026	21	A+LAD	368	.210/.299/.315	7	6	40	—	.179/.247/.266
2027PROJ0% MLB	22	MLBLAD	2	.200/.273/.298	0	0	65	-0.0
2028PROJ35% MLB	23	MLBLAD	140	.208/.281/.322	3	2	73	-0.4
2029PROJ46% MLB	24	MLBLAD	214	.213/.287/.339	5	3	79	-0.5

Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$0.2M2032Arb-2$0.4M2033Ext$7M

Skills · percentileMiLB Statcast 2026 A+

Whiff%75

Chase%73

K%71

Z-Con%49

BB%35

Speed29

Career WAR0 WAR median (P10 -0 / P90 2, comp-based) · star 0% · didn't stick 90%

CompsLuis González (age 22) · Enmanuel Valdez (age 22) · Leandro Pineda (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†65

AVG/OBP/SLG.200 / .273 / .298

PA2

HR0

K%50

BB%8

BABIP258

ISO97

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

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
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.8M	—	—	—
2031	Arb-1	$0.2M	—	—	—
2032	Arb-2	$0.4M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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. 2027 = actual YTD + projected ROS + total. 2028+ 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	74	—	—	—	—	—	—
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	48	—	—	—	—	—	—
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	43	—	—	—	—	—	—
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	28	—	—	—	—	—	—
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	66	—	—	—	—	—	—
2026	21	A+	Great Lakes Loons	—	368	324	68	9	2	7	37	74	4	6	6	210	299	315	613	105	248	20	10	281	40	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL LAD Mega	—	210	182	43	7	3	1	17	43	4	4	5	236	315	324	639	88	272	20	8	278	74	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	240	224	45	7	5	1	13	59	1	9	2	201	248	290	538	89	261	25	5	239	48	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	346	63	12	4	4	29	111	2	6	3	182	249	275	524	92	238	29	8	232	43	—	—	—	—	—	—
2025	20	A+ MLE	Great Lakes Loons	—	70	63	10	1	0	1	7	18	0	4	0	159	243	222	465	63	201	26	10	209	28	—	—	—	—	—	—
2025	20	A MLE	Rancho Cucamonga Quakes	—	451	394	77	12	5	8	44	138	4	18	6	195	283	312	595	117	259	31	10	266	66	—	—	—	—	—	—
2026	21	A+ MLE	Great Lakes Loons	—	368	335	60	7	2	6	26	94	4	6	6	179	247	266	512	87	225	26	7	228	40	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Mega	—	210	182	43	7	3	1	17	43	4	4	5	236	315	324	639	88	290	20	8	278	74	—	—	—	—	—	—
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	74	—	—	—	—	—	—
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	239	48	—	—	—	—	—	—
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	48	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	346	63	12	4	4	29	111	2	6	3	182	249	275	524	92	247	29	8	232	43	—	—	—	—	—	—
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	43	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	521	457	87	13	5	9	51	156	4	22	6	190	277	300	577	109	259	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	—	—	—	—	—	—
2026	21	A+ MLE	Great Lakes Loons	—	368	335	60	7	2	6	26	94	4	6	6	179	247	266	512	87	227	26	7	228	40	—	—	—	—	—	—
2026	21	A+ RAW	Great Lakes Loons	—	368	324	68	9	2	7	37	74	4	6	6	210	299	315	613	105	248	20	10	281	40	—	—	—	—	—	—
2022	17	ROK MLE	DSL LAD Mega	—	210	187	43	7	3	1	17	43	4	4	5	230	315	316	631	86	272	20	8	278	74	—	—	—	—	—	—
2023	18	ROK MLE	ACL Dodgers	—	240	224	45	7	5	1	13	59	1	9	2	201	248	290	538	89	261	25	5	239	48	—	—	—	—	—	—
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	351	63	12	4	4	29	111	2	6	3	179	249	271	520	91	238	29	8	232	43	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	521	461	87	13	5	9	51	156	4	22	6	189	277	297	575	108	251	30	10	258	61	—	—	—	—	—	—
2026	21	A+ MLE	Great Lakes Loons	—	368	335	60	7	2	6	26	94	4	6	6	179	247	266	512	87	225	26	7	228	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Rancho Cucamonga Quakes	—	385	351	63	12	4	4	29	111	2	6	3	179	249	271	520	91	238	29	8	232	43	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	521	461	87	13	5	9	51	156	4	22	6	189	277	297	575	108	251	30	10	258	61	—	—	—	—	—	—
2026	21	A+ MLE	Great Lakes Loons	—	368	335	60	7	2	6	26	94	4	6	6	179	247	266	512	87	225	26	7	228	40	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAD	0%	478	432	87	14	3	7	40	122	3	8	3	204	277	304	581	100	264	26	8	264	65	-20	+0	-1	-9	+10	-1.1
▸ 2027 — real world (MLB)
2027	22	MLB CTX	LAD	0%	2	2	0	0	0	0	0	1	0	0	0	200	273	298	571	98	258	50	0	261	65	-0	+0	-0	-0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAD	35%	406	366	77	12	3	8	34	101	3	7	3	211	284	327	612	116	266	25	8	277	73	-13	+0	-0	-7	+9	-1.2
2029	24	MLB MLE	LAD	46%	462	415	90	14	3	11	40	114	4	7	3	217	290	343	633	127	269	25	9	285	79	-11	+0	+0	-8	+10	-1.0
2030	25	MLB MLE	LAD	52%	494	444	96	15	3	12	43	121	4	8	3	220	294	353	647	134	270	24	9	291	83	-10	+0	+0	-9	+11	-0.8
2031	26	MLB MLE	LAD	54%	511	458	101	16	3	13	44	124	4	8	4	221	296	359	654	137	271	24	9	293	85	-9	+0	+0	-9	+11	-0.7
2032	27	MLB MLE	LAD	54%	517	463	102	17	3	13	45	126	4	7	4	221	296	358	654	137	272	24	9	293	85	-9	-0	+0	-9	+11	-0.8
2028	23	MLB CTX	LAD	35%	140	126	26	4	1	3	12	35	1	2	1	208	281	322	603	114	260	25	9	273	73	-4	+0	-0	-3	+3	-0.4
2029	24	MLB CTX	LAD	46%	214	192	40	6	1	5	18	53	2	3	2	213	287	339	626	126	263	25	8	282	79	-5	-0	+0	-4	+5	-0.5
2030	25	MLB CTX	LAD	52%	255	229	50	8	1	7	22	62	2	4	2	216	290	349	640	133	264	24	9	288	83	-5	+0	+0	-5	+6	-0.4
2031	26	MLB CTX	LAD	54%	277	249	55	8	2	8	24	67	2	4	2	218	292	355	647	137	265	24	9	291	85	-5	+0	+0	-5	+6	-0.4
2032	27	MLB CTX	LAD	54%	281	253	55	9	1	8	24	68	2	4	2	218	293	354	647	136	265	24	9	291	85	-5	+0	+0	-5	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1167	1049	226	35	6	31	100	285	9	17	9	215	289	349	638	133	264	24	9	286	69	-25	-0	-0	-21	+25	-2.1
/ 162G	—	A+C		—	650	584	125	19	3	17	56	159	5	9	5	214	288	344	633	130	263	24	9	286	69	-14	-0	-0	-12	+14	-1.2
Career	—	MLE		—	4434	3978	822	129	36	83	369	1131	36	89	41	207	280	320	600	113	263	26	8	270	69	-66	+1	-1	-48	+59	-5.8
/ 162G	—	MLE		—	650	583	120	19	5	12	54	166	5	13	6	206	278	317	596	111	263	26	8	270	69	-16	+0	-0	-12	+14	-1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#2Dan Johnson'05-'15 * career totals — 5 seasons, 1,625 PA	2.4	1,625	57	1	226*	330*	401*	-30	-3	2.2	2.8
/162	664	23	0	-12.2	-1.2	0.9	pk7: 3
#3Gaby Sanchezlast yr '14 career totals — 5 seasons, 2,240 PA	3.4	2,240	59	12	254	332	411	-40	-26	2.2	2.2
/162	664	17	4	-11.9	-7.8	0.6	pk7: 2
#4John Ganzel'01-'08 * career totals — 5 seasons, 2,599 PA	3.9	2,599	14	43	251*	309*	428*	-46	-0	1.5	1.5
/162	664	4	11	-11.6	-0.1	0.4	pk7: 2
#5Jack Burns'30-'36 * career totals — 6 seasons, 3,976 PA	6.0	3,976	44	63	251*	319*	393*	-71	+13	0.7	0.7
/162	664	7	11	-11.9	+2.2	0.1	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.8	1,169	29	18	220	290	352	-21	+0	-1.3	-0.7
/162	664	16	10	-11.9	+0.0	-0.8	pk7: 0
#6Phil Todt'24-'31 * career totals — 8 seasons, 3,765 PA	5.7	3,765	57	29	228*	277*	399*	-67	+17	-2.8	-1.9
/162	664	10	5	-11.8	+3.0	-0.5	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
Samuel Munoz (OGILVIE)	22	35→55	30→50	40	50	202/275/301	99	264	5	5	26%	8%	65	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis González 2018 · A	22	42→51	39→45	45→50	49	201/275/291	90	266	5	5	25%	9%	62	-1.4	226/279/341	115	290	10	9	24%	6%	74	-0.5	233/309/345	112	298	11	22	24%	9%	86	+0.1
✕Enmanuel Valdez 2021 · A	22	40→47	42→55	46→45	40	199/252/305	106	273	10	9	30%	6%	57	-1.8	221/280/394	173	275	22	8	27%	7%	88	+0.5	223/287/404	181	270	24	8	27%	8%	92	+0.5
✕Leandro Pineda 2024 · A	22	39→49	42→50	48→45	42	191/259/302	111	275	9	6	33%	7%	59	-1.6	213/280/341	128	279	13	6	27%	7%	76	-0.4	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Grant Lavigne 2021 · A	21	42→50	39→45	42→45	44	201/273/280	79	292	7	7	32%	8%	59	-1.6	213/292/316	103	323	9	5	34%	9%	74	-0.5	208/293/328	119	302	12	5	32%	9%	76	-0.4
✕BJ Boyd 2015 · A	22	42→52	38→45	48→50	43	204/257/282	78	272	5	10	26%	6%	53	-2.1	243/287/328	85	307	6	11	22%	5%	74	-0.5	259/306/366	107	315	10	10	20%	5%	87	+0.2
✕Daniel Palka 2014 · A	22	44→43	44→55	44→50	44	216/276/336	120	286	11	5	28%	7%	73	-0.6	206/262/372	166	293	20	9	35%	7%	76	-0.4	207/274/387	180	261	25	4	31%	8%	84	+0.1
✕Mike Papi 2016 · A	23	40→48	39→45	41→45	47	190/269/279	89	277	5	6	31%	10%	57	-1.8	211/290/328	117	287	11	5	28%	9%	77	-0.3	213/297/336	123	282	13	4	27%	10%	80	-0.1
✕Conner Capel 2019 · A	22	43→48	45	47→55	44	214/274/339	125	284	11	11	28%	7%	72	-0.7	217/269/335	118	286	12	10	27%	6%	70	-0.9	226/297/349	123	283	12	19	23%	8%	80	-0.1
✕JT Schwartz 2023 · A	23	43→47	40→45	45	44	208/266/302	94	270	7	5	25%	6%	61	-1.5	226/292/333	107	281	9	7	21%	7%	78	-0.3	223/296/332	109	270	9	6	20%	8%	77	-0.2
✕Andy Wilkins 2011 · A	22	45→46	42→55	48→45	48	219/276/322	103	257	9	8	19%	7%	70	-0.9	221/276/369	148	268	17	4	24%	7%	81	-0.1	228/278/395	167	272	20	3	24%	6%	85	+0.2
✕Yohendrick Pinango 2024 · A	22	45→54	41→50	50	43	218/262/310	92	269	8	11	22%	5%	61	-1.5	220/284/340	120	279	12	9	24%	8%	77	-0.3	223/292/355	132	284	14	7	25%	8%	81	-0.0
✕Roman Pena 2010 · A	23	41→51	41→50	41→45	40	200/258/299	99	287	9	7	32%	7%	57	-1.8	211/274/328	117	293	10	9	29%	8%	70	-0.8	230/300/377	147	313	14	7	29%	9%	89	+0.3
✕Spencer Nivens 2024 · A	22	41→49	41→45	48→50	52	199/280/294	96	255	8	14	24%	10%	65	-1.2	208/277/334	126	276	13	11	28%	9%	73	-0.6	211/281/333	122	272	12	12	26%	9%	73	-0.5
✕Nick Maton 2019 · A	22	43→42	42→50	47→45	40	211/264/322	111	295	9	5	30%	6%	65	-1.2	211/278/312	101	291	8	8	28%	8%	68	-1.0	210/302/353	143	263	16	4	25%	10%	86	+0.2
✕John Drennen 2009 · A	22	45→55	40→45	40→45	44	216/272/306	90	273	7	5	23%	6%	64	-1.3	239/288/350	111	289	8	3	19%	6%	80	-0.2	250/301/374	124	298	8	1	18%	6%	88	+0.3
✕Andrew Pullin 2016 · A	22	47→49	42→50	38→40	41	232/272/335	103	284	11	3	22%	4%	70	-0.8	239/278/375	136	293	13	4	23%	4%	82	+0.0	238/278/389	151	291	15	3	23%	4%	82	+0.0
✕Bryan Byrne 2006 · A	22	44→54	39→45	42→40	47	208/281/299	91	285	6	5	28%	8%	66	-1.1	248/319/356	108	310	10	3	22%	9%	93	+0.8	263/336/375	112	320	10	2	20%	9%	101	+1.2
✕Austin Gallagher 2011 · A	22	48→49	41→45	38→30	42	233/277/331	98	298	8	2	24%	6%	71	-0.8	235/300/364	129	294	14	3	23%	8%	88	+0.5	234/309/375	141	286	16	1	23%	9%	91	+0.5
✕Erik Komatsu 2010 · A	22	45→55	43→45	44→50	45	221/278/334	113	265	11	6	21%	6%	73	-0.6	256/321/355	99	300	7	15	16%	8%	93	+0.8	264/332/361	97	305	7	17	15%	8%	97	+0.8
✕Parker Meadows 2022 · A	22	36→46	42→55	43→55	40	185/244/283	98	262	10	9	32%	6%	49	-2.4	222/286/377	155	285	16	17	27%	8%	86	+0.3	229/297/399	170	285	18	21	26%	8%	94	+0.9

Samuel Munoz

Career Stats + Projections

Career Comps

Career Path Comps