Samuel Zavala — OGILVIE

Samuel ZavalaCF Birmingham Barons

Age 22 L/L 5'11" / 175 lbs AA BB +6%HR -6% Svc 0.0 · Ctrl thru 2034 peak 1.2 · 2030

wRC+†91

AVG/OBP/SLG.190 / .279 / .297

PA320

HR6

SB7

K%32

BB%10

MLB%2%

Scouting · now → future

HIT

30↗40

PWR

40↗45

SPD

50→50

FLD

45↗55

EYE

55→55

trajectory · 10 yrs

1.2peak

2030

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	Arb-1	$0.8M	+1.1	$10M	+$9M
2030	Arb-2	$0.9M	+1.2	$11M	+$10M
2031	Arb-3	$0.9M	+1.2	$11M	+$10M
2032	Ext / FA-deal	$2M	+1.1	$11M	+$8M
2033	Ext / FA-deal	$3M	+0.9	$4M	+$1M
2034	Ext / FA-deal	$3M	+0.6	$3M	-$0.4M
Totals		$12M		$50M	+$38M

Career Projections (MLE)

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	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
2021	17	ROK	DSL Padres	235	209	44	12	3	2	18	54	4	11	7	.211	.286	.325	.611	.115	.268	23	8	.264	60	-11	-1	+0	+1	+7	-0.4
2022	18	A	2 teams	176	158	32	6	2	7	16	68	0	5	3	.203	.276	.399	.675	.196	.298	39	9	.284	76	-5	-0	+0	+1	+5	0.1
2023	19	A	2 teams	515	428	81	17	0	11	65	193	9	21	7	.189	.309	.306	.615	.117	.300	37	13	.277	70	-17	+1	+0	+2	+15	0.1
2024	20	A+	Winston-Salem Dash	467	408	62	11	2	9	50	145	5	14	5	.152	.253	.255	.508	.103	.207	31	11	.230	34	-35	+1	+0	+2	+13	-1.9
2025	21	A+	2 teams	505	450	95	14	2	9	42	146	5	19	9	.211	.286	.311	.597	.100	.287	29	8	.260	57	-24	+0	+0	+2	+14	-0.8
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Birmingham Barons	77	68	19	3	0	5	9	19	0	2	0	.279	.364	.544	.908	.265	.318	25	12	.364	137	+3	+0	+0	+0	+2	0.6
ROS	22	MLB	CWS	243	214	43	7	1	6	25	74	2	5	2	.201	.290	.327	.618	.126	.276	30	10	.285	76	-7	+0	+0	+1	+7	0.2
TOT	22	MLB	CWS	320	282	62	10	1	11	34	93	2	7	2	.220	.308	.379	.688	.160	.285	29	11	.304	91	-3	+1	+0	+1	+9	0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 9%	CWS	542	476	99	17	2	13	57	157	4	12	4	.208	.298	.334	.632	.126	.273	29	11	.284	75	-15	+1	+1	+2	+15	0.4
2028	24	MLB 18%	CWS	579	507	106	18	2	14	62	163	5	13	4	.209	.301	.335	.637	.126	.275	28	11	.291	81	-13	+1	+1	+2	+16	0.8
2029	25	MLB 26%	CWS	601	526	112	19	2	16	65	166	5	14	4	.213	.305	.348	.653	.135	.277	28	11	.296	84	-11	+1	+1	+2	+17	1.1
2030	26	MLB 35%	CWS	612	535	115	20	2	16	67	169	5	14	4	.215	.308	.350	.658	.135	.278	28	11	.298	86	-10	+1	+1	+2	+17	1.2
2031	27	MLB 44%	CWS	615	537	115	20	2	16	68	170	5	14	4	.214	.308	.348	.656	.134	.278	28	11	.298	86	-10	+1	+1	+2	+17	1.2
2032	28	MLB 47%	CWS	611	533	114	20	2	16	68	170	5	13	3	.214	.309	.349	.658	.135	.277	28	11	.297	85	-10	+1	-0	+2	+17	1.1
2033	29	MLB 50%	CWS	602	525	112	19	2	16	67	169	5	11	3	.213	.308	.349	.657	.135	.276	28	11	.295	84	-11	+1	-1	+2	+17	0.9
2034	30	MLB 52%	CWS	592	516	108	18	2	15	66	169	5	10	2	.209	.305	.339	.644	.130	.275	29	11	.292	81	-12	+1	-1	+2	+17	0.6
2035	31	MLB 63%	CWS	579	505	104	18	1	14	64	167	5	7	1	.206	.301	.329	.630	.123	.273	29	11	.288	79	-14	+1	-2	+2	+16	0.3
2036	32	MLB 73%	CWS	561	489	99	17	1	13	62	165	5	5	0	.202	.299	.321	.620	.119	.271	29	11	.283	75	-16	+1	-3	+2	+16	0.0
2037	33	MLB 84%	CWS	531	463	91	15	1	12	59	160	4	2	0	.197	.293	.311	.604	.114	.270	30	11	.278	71	-17	+0	-4	+2	+15	-0.4
2038	34	MLB 94%	CWS	483	423	81	13	1	10	53	149	4	1	0	.191	.287	.298	.585	.106	.268	31	11	.272	66	-19	+0	-4	+2	+14	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			9049	7902	1613	281	30	215	974	2654	82	191	62	.204	.298	.329	.627	.125	.275	29	11	.283	75	-255	+13	-11	+32	+256	3.6
/ 162G	—			650	568	115	20	2	15	70	191	6	14	4	.202	.297	.324	.621	.121	.273	29	11	.283	75	-18	+1	-1	+2	+18	0.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	156	+15	-1	—	—	+7	2.1
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	147	+8	-0	—	—	+4	1.2
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	183	+3	+0	—	—	+1	0.4
2023	19	A+	Fort Wayne TinCaps	56	51	4	1	0	0	5	19	0	1	1	.078	.161	.098	.259	.020	.125	34	9	.134	-39	-9	-0	—	—	+2	-0.8
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	154	+28	+2	—	—	+13	4.4
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	90	-5	+1	—	—	+13	0.9
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	113	+7	+0	—	—	+14	2.2
2025	21	INTL	Cardenales de Lara	19	17	2	1	0	0	1	6	0	1	1	.118	.167	.176	.343	.059	.182	32	5	.152	-25	-3	-0	—	—	+1	-0.2

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	.190/.279/.297	.107	.269	6	7	32%	10%	62	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Mike Daniel 2007 · A	22	39→49	42→45	48→50	42	.193/.256/.293	.100	.274	10	11	32%	7%	50	-1.8	.232/.283/.346	.114	.314	11	14	28%	6%	74	-0.1	.239/.288/.351	.112	.317	11	15	27%	6%	75	+0.0
✕Parker Meadows 2022 · A	22	37→47	41→55	44→55	41	.185/.244/.280	.095	.257	9	9	31%	7%	41	-2.3	.218/.280/.374	.156	.279	17	16	27%	7%	82	+0.5	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕Mike Papi 2015 · A	22	39→47	41→45	50→45	50	.193/.270/.290	.097	.251	9	7	26%	9%	56	-1.3	.198/.278/.306	.108	.280	9	6	30%	9%	63	-0.8	.211/.294/.337	.126	.280	14	4	28%	10%	76	+0.1
✕Conner Capel 2019 · A	22	41→45	44→45	47→55	44	.208/.266/.330	.122	.270	11	11	27%	7%	63	-0.8	.210/.262/.328	.118	.279	12	11	28%	6%	61	-1.0	.216/.288/.339	.123	.271	13	19	24%	8%	71	-0.2
✕Carlos Guzman 2008 · A	22	40→48	43→50	53→50	44	.197/.278/.309	.112	.288	11	9	33%	8%	64	-0.8	.221/.269/.333	.112	.308	12	9	31%	6%	65	-0.7	.235/.287/.332	.097	.308	10	3	26%	6%	70	-0.2
●Bo Naylor 2022 · AA	22	34→43	46→55	53→50	39	.181/.240/.306	.126	.262	14	10	36%	7%	46	-2.0	.213/.300/.385	.172	.281	20	13	30%	10%	93	+1.3	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
✕Drew Robinson 2014 · A	22	43→41	44→55	49→50	45	.206/.285/.324	.118	.300	10	8	33%	9%	71	-0.3	.189/.264/.329	.140	.281	15	11	36%	9%	63	-0.8	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Chris Meyers 2022 · A	23	41→46	42→50	51→40	45	.201/.269/.304	.103	.264	9	11	26%	7%	59	-1.1	.222/.280/.362	.140	.293	16	7	29%	6%	79	+0.3	.226/.286/.378	.152	.294	19	3	29%	6%	82	+0.3
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Christopher Familia 2023 · A	23	40	45→55	47→45	45	.204/.281/.326	.122	.262	13	8	27%	7%	70	-0.3	.219/.278/.391	.172	.284	22	4	30%	6%	85	+0.7	.215/.266/.411	.196	.270	28	0	32%	5%	81	+0.2
✕Isan Díaz 2018 · A	22	40	47→55	45	43	.203/.272/.335	.133	.289	14	8	34%	8%	68	-0.5	.205/.274/.346	.141	.290	16	8	33%	8%	72	-0.2	.204/.284/.367	.164	.263	21	5	30%	9%	75	+0.0
✕Juan Silva 2013 · A	22	45→47	42→45	48→55	46	.215/.287/.318	.103	.305	9	12	30%	9%	69	-0.4	.227/.304/.329	.102	.305	8	23	26%	10%	79	+0.3	.224/.305/.319	.095	.293	7	29	24%	10%	74	-0.1
✕Adrian Del Castillo 2023 · A	23	36→45	43→55	52→40	41	.184/.246/.294	.110	.257	10	7	32%	7%	46	-2.0	.210/.280/.351	.141	.289	15	4	31%	8%	76	+0.0	.218/.292/.382	.164	.293	19	1	31%	9%	86	+0.5
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Travis Blankenhorn 2019 · A	22	40→43	45→55	51→50	38	.201/.261/.328	.127	.288	11	7	33%	6%	61	-1.0	.215/.262/.357	.142	.295	16	9	32%	5%	69	-0.4	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3
✕Livan Soto 2022 · AA	22	37→47	39→40	49→50	43	.183/.239/.268	.085	.247	7	10	28%	7%	36	-2.7	.222/.288/.312	.090	.301	7	10	27%	8%	68	-0.5	.234/.306/.318	.084	.309	7	8	25%	9%	75	-0.0
✕Jacob Wetzel 2023 · A	23	39→34	44→45	50	45	.197/.277/.309	.111	.273	12	10	31%	8%	63	-0.8	.192/.266/.304	.112	.282	10	13	33%	8%	57	-1.2	.182/.255/.299	.117	.273	8	16	34%	8%	48	-0.9
✕Kevin Padlo 2018 · A	22	36→40	45→55	44→50	48	.184/.270/.312	.128	.257	13	8	32%	10%	62	-0.9	.195/.278/.343	.148	.287	15	8	35%	9%	73	-0.1	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Brian Pointer 2014 · A	22	37→41	42→45	51→50	39	.184/.253/.293	.109	.274	10	13	35%	6%	50	-1.8	.204/.277/.329	.125	.307	13	12	35%	8%	69	-0.4	.204/.281/.340	.136	.306	15	12	36%	9%	69	-0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)