Samuel Zavala — OGILVIE

Samuel ZavalaCF Birmingham Barons

Age 22 L/L 5'11" / 175 lbs AA HR +4% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION480 act + 10 ros · stats below = ROS only

showingROS

wRC+†78

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

PA10

HR0

K%30

BB%10

BABIP271

ISO104

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$4M ctrl surplus

Tools · ContractCON 40 / POW 45

Toolsscout grade

CONTACT40

scouting grade only

POWER45

scouting grade only

EYE55

scouting grade only

SPEED50

scouting grade only

DEFENSE55

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	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2032	Arb-2	$5M	+0.4	$1M	+$0.0M (cut)
2033	Arb-3	$6M	+0.4	$0.9M	+$0.0M (cut)
Totals		$3M		$7M	+$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	17	ROK	DSL Padres	—	235	195	58	16	6	3	32	36	4	11	7	297	407	487	894	190	344	15	14	390	150	+14	-1	—	—	+5	1.9
2022	18	A	Lake Elsinore Storm	—	141	122	31	6	2	7	19	37	0	5	3	254	355	508	863	254	308	26	13	378	142	+7	-0	—	—	+3	1.0
2022	18	ROK	ACL Padres	—	35	29	10	3	1	1	4	11	0	0	0	345	424	621	1.045	276	500	31	11	425	174	+3	+0	—	—	+1	0.4
2023	19	A+	Fort Wayne TinCaps	—	56	51	4	1	0	0	5	19	0	1	1	78	161	98	259	20	125	34	9	134	-23	-8	-0	—	—	+1	-0.7
2023	19	A	Lake Elsinore Storm	—	459	348	93	22	0	14	89	121	9	20	6	267	428	451	879	184	356	26	19	387	148	+26	+2	—	—	+10	3.9
2024	20	A+	Winston-Salem Dash	—	467	375	70	15	2	8	83	104	5	14	5	187	341	301	643	115	234	22	18	303	91	-5	+1	—	—	+10	0.6
2025	21	A+	Winston-Salem Dash	—	486	409	104	17	2	9	65	104	5	18	8	254	363	372	735	117	316	21	13	332	111	+6	+0	—	—	+11	1.8
2025	21	INTL	Cardenales de Lara	—	19	17	2	1	0	0	1	6	0	1	1	118	167	176	343	59	182	32	5	152	-11	-3	-0	—	—	+0	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Padres	—	235	209	45	12	4	2	18	53	4	11	7	215	290	340	630	124	260	23	8	272	70	-8	-1	—	—	+5	-0.4
2022	18	A MLE	Lake Elsinore Storm	—	141	127	24	4	1	6	14	51	0	5	3	189	270	378	647	189	261	36	10	285	79	-4	-0	—	—	+3	-0.1
2022	18	ROK MLE	ACL Padres	—	35	31	8	2	1	1	2	16	0	0	0	258	303	484	787	226	386	46	6	291	83	-1	+0	—	—	+1	0.0
2023	19	A+ MLE	Fort Wayne TinCaps	—	56	52	3	1	0	0	4	25	0	1	1	58	125	77	202	19	112	45	7	96	-49	-10	-0	—	—	+1	-0.9
2023	19	A MLE	Lake Elsinore Storm	—	459	376	77	16	0	11	61	170	9	20	6	205	330	335	665	130	302	37	13	297	87	-7	+2	—	—	+10	0.5
2024	20	A+ MLE	Winston-Salem Dash	—	467	403	62	11	2	8	55	147	5	14	5	154	263	251	514	97	213	31	12	235	45	-30	+1	—	—	+10	-2.0
2025	21	A+ MLE	Winston-Salem Dash	—	486	429	93	13	2	8	45	146	5	18	8	217	299	312	611	96	293	30	9	270	69	-18	+0	—	—	+11	-0.7
2021	17	ROK MLE	DSL Padres	—	235	209	45	12	4	2	18	53	4	11	7	215	290	340	630	124	272	23	8	272	70	—	—	—	—	—	—
2021	17	ROK RAW	DSL Padres	—	235	195	58	16	6	3	32	36	4	11	7	297	407	487	894	190	344	15	14	390	70	—	—	—	—	—	—
2022	18	A MLE	2 teams	—	176	158	32	6	2	7	16	67	0	5	3	203	276	399	675	196	294	38	9	286	80	—	—	—	—	—	—
2022	18	A RAW	2 teams	—	176	151	41	9	3	8	23	48	0	5	3	272	368	530	898	258	344	27	13	387	80	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	515	429	80	16	0	11	64	195	9	21	7	186	305	301	605	114	297	38	12	275	72	—	—	—	—	—	—
2023	19	A RAW	2 teams	—	515	399	97	23	0	14	94	140	9	21	7	243	398	406	804	163	327	27	18	360	72	—	—	—	—	—	—
2024	20	A+ MLE	Winston-Salem Dash	—	467	403	62	11	2	8	55	147	5	14	5	154	263	251	514	97	216	31	12	235	45	—	—	—	—	—	—
2024	20	A+ RAW	Winston-Salem Dash	—	467	375	70	15	2	8	83	104	5	14	5	187	341	301	643	115	234	22	18	303	45	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	505	445	96	14	2	8	47	152	5	19	9	216	298	310	608	94	303	30	9	270	69	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	505	426	106	18	2	9	66	110	5	19	9	249	356	364	720	115	311	22	13	326	69	—	—	—	—	—	—
2021	17	ROK MLE	DSL Padres	—	235	211	45	12	4	2	18	53	4	11	7	213	290	336	627	123	260	23	8	272	70	—	—	—	—	—	—
2022	18	A MLE	2 teams	—	176	158	32	6	2	7	16	67	0	5	3	203	276	399	675	196	286	38	9	286	80	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	515	437	80	16	0	11	64	195	9	21	7	183	305	295	600	112	281	38	12	275	72	—	—	—	—	—	—
2024	20	A+ MLE	Winston-Salem Dash	—	467	404	62	11	2	8	55	147	5	14	5	153	263	250	513	97	213	31	12	235	45	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	505	448	96	14	2	8	47	152	5	19	9	214	298	308	606	94	293	30	9	270	69	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	2 teams	—	515	437	80	16	0	11	64	195	9	21	7	183	305	295	600	112	281	38	12	275	72	—	—	—	—	—	—
2024	20	A+ MLE	Winston-Salem Dash	—	467	404	62	11	2	8	55	147	5	14	5	153	263	250	513	97	213	31	12	235	45	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	505	448	96	14	2	8	47	152	5	19	9	214	298	308	606	94	293	30	9	270	69	—	—	—	—	—	—
YTD	22	AA MLE	CWS	—	480	409	83	16	0	10	64	137	4	12	8	203	317	315	632	112	278	29	13	287	80	-11	-1	+0	+2	+10	0.0
▸ 2026 season
YTD	22	AA RAW	CWS	—	480	380	88	17	0	13	93	112	4	12	8	232	388	379	767	147	293	23	19	352	80	—	—	—	—	—	—
ROS	22	AA MLE	CWS	2%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		270	30	10	284	78	-0	+0	+0	+0	+0	0.0
TOT	22	AA MLE	CWS	—	490	418	84	16	0	10	65	140	4	12	8	201	314	311	625	110	275	29	13	287	80	-11	-1	+0	+2	+11	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	CWS	26%	542	466	96	17	1	12	67	150	4	7	4	206	311	324	635	118	274	28	12	293	84	-10	-0	+1	+2	+12	0.4
2028	24	MLB MLE	CWS	37%	579	499	106	19	1	14	70	156	5	6	4	212	315	339	654	126	276	27	12	299	89	-8	-0	+1	+2	+13	0.7
2029	25	MLB MLE	CWS	43%	601	519	111	20	1	15	72	160	5	6	3	214	315	343	658	129	277	27	12	303	91	-6	+0	+1	+2	+13	1.0
2030	26	MLB MLE	CWS	47%	612	528	115	21	1	16	74	162	5	6	3	218	320	352	672	134	278	26	12	305	92	-6	+0	+1	+2	+13	1.1
2031	27	MLB MLE	CWS	48%	615	530	115	21	1	16	75	163	5	6	3	217	320	351	671	134	278	27	12	305	92	-6	+0	+1	+2	+13	1.1
2032	28	MLB MLE	CWS	48%	611	526	113	20	1	16	75	163	5	6	3	215	318	348	666	133	277	27	12	304	92	-6	+0	-0	+2	+13	1.0
2033	29	MLB MLE	CWS	48%	602	518	111	20	1	15	74	162	5	6	3	214	318	344	662	129	277	27	12	302	91	-7	+0	-1	+2	+13	0.8
2034	30	MLB MLE	CWS	47%	592	509	108	19	1	15	73	161	5	5	3	212	317	342	659	130	276	27	12	300	89	-8	-0	-1	+2	+13	0.6
2035	31	MLB MLE	CWS	51%	579	498	105	19	1	14	71	159	5	5	3	211	315	337	653	127	273	27	12	296	86	-9	-0	-2	+2	+13	0.3
2036	32	MLB MLE	CWS	54%	561	482	99	17	1	13	69	156	5	5	3	205	311	326	637	120	270	28	12	291	83	-11	-0	-3	+2	+12	-0.0
2027	23	MLB CTX	CWS	26%	141	122	25	5	0	3	17	39	1	2	1	205	307	320	627	115	275	28	12	288	84	-3	+0	+0	+1	+3	0.1
2028	24	MLB CTX	CWS	37%	213	183	38	7	0	5	26	58	2	2	1	208	313	328	641	120	277	27	12	294	89	-3	+0	+0	+1	+5	0.3
2029	25	MLB CTX	CWS	43%	259	224	49	9	1	7	31	69	2	3	2	219	319	362	681	143	278	27	12	298	91	-3	-0	+0	+1	+6	0.4
2030	26	MLB CTX	CWS	47%	286	248	55	10	1	8	34	76	2	3	2	222	320	367	687	145	279	27	12	300	92	-3	-0	+0	+1	+6	0.5
2031	27	MLB CTX	CWS	48%	293	252	56	10	1	8	36	78	3	3	2	222	326	365	692	143	279	27	12	300	92	-3	-0	+0	+1	+6	0.5
2032	28	MLB CTX	CWS	48%	295	254	56	10	1	8	36	79	3	3	2	220	324	362	686	142	278	27	12	299	92	-3	-0	-0	+1	+6	0.4
2033	29	MLB CTX	CWS	48%	286	247	52	10	0	7	35	77	2	3	2	211	313	336	649	126	277	27	12	297	91	-3	-0	-0	+1	+6	0.4
2034	30	MLB CTX	CWS	47%	279	241	50	9	0	7	34	76	2	3	2	207	310	332	642	124	276	27	12	295	89	-4	-0	-1	+1	+6	0.3
2035	31	MLB CTX	CWS	51%	296	256	53	10	0	7	36	81	2	3	2	207	310	328	638	121	274	27	12	291	86	-5	-0	-1	+1	+6	0.1
2036	32	MLB CTX	CWS	54%	304	262	54	10	0	7	37	85	2	3	2	206	309	324	633	118	271	28	12	286	83	-6	-0	-2	+1	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2652	2289	488	90	4	67	322	718	21	28	18	213	316	344	660	131	278	27	12	295	83	-34	-2	-2	+9	+57	2.9
/ 162G	—	A+C		—	650	561	119	22	1	16	79	176	5	7	4	212	315	340	655	128	277	27	12	295	83	-8	-0	-1	+2	+14	0.7
Career	—	MLE		—	7802	6728	1395	252	20	182	921	2209	72	128	63	207	309	332	641	125	276	28	12	291	83	-77	-1	-4	+21	+128	6.8
/ 162G	—	MLE		—	650	561	116	21	2	15	77	184	6	11	5	207	309	332	641	125	276	28	12	291	83	-8	-0	-0	+2	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny 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
#3Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.0	2,659	66	26	214	314	343	+9	+10	4.6	4.2
/162	664	16	6	+2.4	+2.5	1.2	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	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
Samuel Zavala (OGILVIE)	22	30→40	40→45	50	55	198/304/305	107	270	6	6	29%	12%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mike Papi 2015 · A	22	38→47	41→45	50→45	49	188/265/282	94	249	9	7	27%	9%	57	-1.8	199/278/306	107	280	9	5	30%	9%	67	-1.1	208/291/327	119	275	12	4	27%	10%	76	-0.3
✕Jace Jung 2023 · A	22	44→42	39→50	50→40	50	208/292/300	92	296	6	7	29%	10%	71	-0.8	215/300/370	155	288	18	4	30%	10%	90	+0.6	208/298/364	156	272	18	3	29%	11%	86	+0.3
✕Daniel Schneemann 2019 · A	22	38→48	40→50	50	43	185/251/280	94	271	8	6	33%	8%	51	-2.3	211/270/297	86	293	7	9	28%	7%	61	-1.5	223/303/368	144	295	14	13	28%	10%	87	+0.3
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Anthony Seigler 2021 · A	22	42→39	37→45	49→55	47	200/278/275	74	283	5	6	29%	9%	60	-1.6	192/289/299	107	272	9	9	30%	11%	70	-0.8	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Carlos Guzman 2008 · A	22	39→48	43→50	53→50	44	194/277/307	113	282	11	9	33%	9%	68	-1.0	224/272/334	110	313	11	8	30%	6%	70	-0.8	234/286/330	96	304	9	3	25%	6%	72	-0.3
✕Nicky Delmonico 2014 · A	22	39→47	48→50	48→45	46	203/280/344	141	266	16	8	30%	9%	77	-0.3	216/272/353	137	293	13	6	29%	7%	76	-0.4	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Parker Meadows 2022 · A	22	36→46	42→55	43→55	40	183/242/280	97	259	10	9	32%	6%	47	-2.5	216/279/367	151	277	16	17	27%	8%	81	-0.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Bo Naylor 2021 · A	21	40→43	44→55	50	41	201/255/324	123	276	11	7	30%	7%	61	-1.5	198/278/343	145	273	16	13	32%	9%	76	-0.4	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕Adrian Del Castillo 2023 · A	23	35→45	43→55	52→40	41	182/244/292	111	252	10	7	31%	7%	51	-2.2	214/284/360	146	291	16	3	30%	8%	82	-0.0	228/294/410	182	286	22	1	28%	8%	95	+0.6
✕Alexander Ovalles 2023 · AA	22	43→42	46→50	46→50	45	217/283/344	127	282	13	8	27%	8%	78	-0.3	214/280/320	106	310	10	11	32%	8%	71	-0.8	175/252/223	48	291	3	15	38%	9%	35	-0.7
✕Chris Meyers 2022 · A	23	40→45	41→50	51→40	45	197/267/298	101	259	8	11	26%	7%	61	-1.5	220/278/357	137	292	15	6	29%	6%	79	-0.2	222/283/366	144	287	17	3	28%	6%	80	-0.1
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Ashton McGee 2021 · A	22	41	39→45	50→40	41	194/258/283	89	288	5	5	33%	7%	54	-2.0	201/288/312	111	366	10	4	43%	10%	72	-0.7	185/281/295	109	345	11	2	44%	11%	63	-0.7
✕Drew Robinson 2014 · A	22	43→42	43→55	49→50	46	207/288/323	116	304	10	8	33%	9%	75	-0.5	192/266/331	139	282	14	11	35%	9%	69	-0.9	208/288/362	155	321	16	12	38%	10%	81	-0.0
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Tirso Ornelas 2022 · A	22	40→50	39→50	47→45	44	194/261/283	89	276	6	5	30%	8%	55	-1.9	241/299/358	117	307	11	7	24%	7%	86	+0.3	249/307/375	126	306	13	7	22%	7%	91	+0.6
✕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
✕Brian O'Grady 2015 · A	23	39→38	43→55	54→50	47	196/261/312	115	255	9	8	26%	8%	61	-1.5	190/272/302	112	268	10	14	30%	10%	64	-1.3	208/271/384	177	275	20	15	31%	7%	81	-0.0
✕Josh VanMeter 2017 · AA	22	42→48	43→55	46→50	46	212/266/319	108	254	11	8	22%	7%	65	-1.2	221/275/340	119	275	11	12	23%	7%	73	-0.6	229/304/400	171	279	18	12	24%	9%	96	+0.8

Career Stats + Projections

Career Comps

Career Path Comps