Zach Neto

SS Los Angeles Angels

Age 26 R/R 5'11" / 185 lbs MLB K +5%HR +4% Svc 3.988 · Ctrl thru 2029

Overview

MLB40-MANArb-1FA 2030

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	23	MLBLAA	602	.249/.318/.443	23	30	113	3.2
2025	24	AAALAA	58	.286/.397/.592	4	1	114	—	.235/.328/.471
2025	24	MLBLAA	554	.257/.321/.474	26	26	117	2.9
2026	25	MLBLAA	704	.239/.330/.436	27	24	117	3.9
2027PROJ	26	MLBLAA	614	.237/.314/.441	26	25	112	2.6
2028PROJ	27	MLBLAA	614	.236/.314/.438	26	24	111	2.5
2029PROJ	28	MLBLAA	614	.234/.312/.434	26	22	109	2.3

Last 3 seasons WAR 9.9 · Next 3 projected WAR 7.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service3.988First FA2030

2027Arb-1$6M2028Arb-2$11M2029Arb-3$15M

Skills · percentileStatcast 2024-2026

Barrel%71

xwOBA65

Speed60

Avg EV59

Bat Spd38

Form.233/.330/.441 ▲ rolling true talent (45d window) · proj .237/.313/.441

CompsSean Rodríguez (age 26) · Jazz Chisholm Jr. (age 25) · Ramón Laureano (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 114112vR 106

AVG/OBP/SLG.237 / .314 / .441

PA614

HR26

SB25

K%28

BB%8

BABIP291

ISO203

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$30M ctrl surplus

Tools · Recent Form · Splits · ContractCON 50 / POW 55

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

xAVG

260.232

POWER55

Barrel%

7111.4

Avg EV

5989.8

Bat Spd

3870.0

EYE45

scouting grade only

SPEED55

Sprint

6027.9

Recent Formrolling true talent ⓘ

K%29%▼31% over 65 PA (45d) · proj 28%

BB%11%▲▲13% over 119 PA (60d) · proj 8%

ISO.208·.214 over 98 AB (60d) · proj .204

HR/BB7.3%·8.2% over 61 BBE (60d) · proj 6.8%

BABIP.298▲.357 over 56 BIP (60d) · proj .294

SLASH.233/.330/.441▲proj .237/.313/.441

Platoon Splits2024-2026 · 1282 PA

vs LHP

vs RHP

Edge

259

1023

—

wRC+

146

108

◀◀L

wOBA

384

328

◀L

ISO

235

196

◀◀L

BABIP

356

287

◀◀L

25.1%

25.3%

—

BB%

6.2%

6.6%

▶R

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

Status Arb-1

MLB Debut 2023

Service 3.988 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-1	$6M	+3.0	$27M	+$21M
2028	Arb-2	$11M	+2.5	$19M	+$9M
2029	Arb-3	$15M	+2.3	$16M	+$3M
Totals		$32M		$61M	+$33M

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 = full-season projection (no games played yet). 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	21	AA	Rocket City Trash Pandas	—	136	122	39	9	0	4	8	29	5	4	2	320	385	492	877	172	389	21	6	387	112	—	—	—	—	—	—
2022	21	A+	Tri-City Dust Devils	—	31	25	5	0	1	1	4	4	2	1	0	200	355	400	755	200	200	13	13	344	79	—	—	—	—	—	—
2023	22	MLB	Los Angeles Angels	—	329	289	65	17	0	9	20	77	16	5	1	225	311	377	688	152	272	23	6	309	96	-2	+1	+3	+4	+7	1.3
2023	22	AAA	Salt Lake Bees	—	16	13	4	1	0	2	1	4	2	0	0	308	438	846	1.284	538	286	25	6	532	163	—	—	—	—	—	—
2023	22	AA	Rocket City Trash Pandas	—	34	27	12	1	0	3	6	8	1	3	0	444	559	815	1.374	370	562	24	18	579	239	—	—	—	—	—	—
2024	23	MLB	Los Angeles Angels	—	602	542	135	34	1	23	39	140	16	30	10	249	318	443	761	194	295	23	6	335	113	+9	+2	-0	+6	+13	3.2
2025	24	MLB	Los Angeles Angels	—	554	502	129	29	1	26	33	149	14	26	9	257	321	474	795	217	312	27	6	347	117	+11	+2	-3	+7	+12	2.9
2025	24	AAA	Salt Lake Bees	—	58	49	14	3	0	4	7	13	2	1	2	286	397	592	988	306	312	22	12	429	114	—	—	—	—	—	—
2026	25	MLB	Los Angeles Angels	—	704	619	148	31	5	27	70	215	14	24	12	239	330	436	766	197	320	31	10	341	117	+14	+0	+1	+8	+15	3.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2189	1952	477	111	7	85	162	581	60	85	32	244	322	439	761	195	303	27	7	336	114	+35	+4	+1	+25	+47	11.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	AA MLE	Rocket City Trash Pandas	—	136	125	36	9	0	3	5	35	5	4	2	288	341	432	773	144	369	26	4	334	112	—	—	—	—	—	—
2022	21	A+ MLE	Tri-City Dust Devils	—	31	26	5	0	1	1	3	5	2	1	0	192	323	385	707	192	170	16	10	285	79	—	—	—	—	—	—
2023	22	MLB MLE	Los Angeles Angels	—	329	289	66	18	0	9	20	77	16	5	1	228	314	384	698	156	272	23	6	310	96	-2	+1	+3	+4	+7	1.3
2023	22	AAA MLE	Salt Lake Bees	—	16	13	3	1	0	1	1	5	2	0	0	231	375	538	913	308	242	31	6	409	163	—	—	—	—	—	—
2023	22	AA MLE	Rocket City Trash Pandas	—	34	30	12	1	0	3	3	9	1	3	0	400	471	733	1.204	333	538	26	9	521	239	—	—	—	—	—	—
2024	23	MLB MLE	Los Angeles Angels	—	602	543	136	35	1	23	38	140	16	30	10	250	318	446	764	195	295	23	6	336	113	+9	+2	-0	+6	+13	3.2
2025	24	MLB MLE	Los Angeles Angels	—	554	508	129	30	1	25	27	149	14	26	9	254	310	465	774	211	312	27	5	341	117	+11	+2	-3	+7	+12	2.9
2025	24	AAA MLE	Salt Lake Bees	—	58	51	12	3	0	3	5	16	2	1	2	235	328	471	798	235	276	28	9	336	114	—	—	—	—	—	—
2026	25	MLB MLE	Los Angeles Angels	—	704	620	148	32	5	26	69	215	14	24	12	239	329	432	761	194	320	31	10	341	117	+14	+0	+1	+8	+15	3.9
2022	21	AA MLE	2 teams	—	167	151	41	9	1	4	8	40	7	5	2	272	337	424	761	152	343	24	5	325	106	—	—	—	—	—	—
2022	21	AA RAW	2 teams	—	167	147	44	9	1	5	12	33	7	5	2	299	380	476	856	177	355	20	7	379	106	—	—	—	—	—	—
2023	22	MLB MLE	3 teams	—	379	332	81	20	0	13	24	91	19	8	1	244	331	422	752	178	294	24	6	333	112	+5	+1	+3	+4	+8	2.2
2023	22	MLB RAW	3 teams	—	379	329	81	19	0	14	27	89	19	8	1	246	339	432	770	185	293	23	7	342	112	+5	+1	+3	+4	+8	2.2
2024	23	MLB MLE	Los Angeles Angels	—	602	543	136	35	1	23	38	140	16	30	10	250	318	446	764	195	297	23	6	336	113	+9	+2	-0	+6	+13	3.2
2024	23	MLB RAW	Los Angeles Angels	—	602	542	135	34	1	23	39	140	16	30	10	249	318	443	761	194	295	23	6	335	113	+9	+2	-0	+6	+13	3.2
2025	24	MLB MLE	2 teams	—	612	559	141	33	1	28	32	165	16	27	11	252	311	465	776	213	306	27	5	340	116	+12	+1	-3	+7	+13	3.0
2025	24	MLB RAW	2 teams	—	612	551	143	32	1	30	40	162	16	27	11	260	328	485	812	225	312	26	7	355	116	+12	+1	-3	+7	+13	3.0
2026	25	MLB MLE	Los Angeles Angels	—	704	620	148	32	5	26	69	215	14	24	12	239	329	432	761	194	321	31	10	341	117	+14	+0	+1	+8	+15	3.9
2026	25	MLB RAW	Los Angeles Angels	—	704	619	148	31	5	27	70	215	14	24	12	239	330	436	766	197	320	31	10	341	117	+14	+0	+1	+8	+15	3.9
2022	21	AA MLE	2 teams	—	167	150	41	9	1	4	8	40	7	5	2	273	337	427	764	153	332	24	5	325	106	—	—	—	—	—	—
2023	22	MLB MLE	3 teams	—	379	333	81	20	0	13	24	91	19	8	1	243	331	420	751	177	294	24	6	333	112	—	—	—	—	—	—
2024	23	MLB MLE	Los Angeles Angels	—	602	543	136	35	1	23	38	140	16	30	10	250	318	446	764	195	295	23	6	336	113	—	—	—	—	—	—
2025	24	MLB MLE	2 teams	—	612	559	141	33	1	28	32	165	16	27	11	252	311	465	776	213	309	27	5	340	116	—	—	—	—	—	—
2026	25	MLB MLE	Los Angeles Angels	—	704	615	148	32	5	26	69	215	14	24	12	241	329	436	764	195	320	31	10	341	117	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	MLB MLE	Los Angeles Angels	—	602	543	136	35	1	23	38	140	16	30	10	250	318	446	764	195	295	23	6	336	113	—	—	—	—	—	—
2025	24	MLB MLE	2 teams	—	612	559	141	33	1	28	32	165	16	27	11	252	311	465	776	213	309	27	5	340	116	—	—	—	—	—	—
2026	25	MLB MLE	Los Angeles Angels	—	704	615	148	32	5	26	69	215	14	24	12	241	329	436	764	195	320	31	10	341	117	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	LAA	100%	633	564	135	29	3	27	50	177	14	26	6	238	315	441	757	204	294	28	8	333	112	+9	+3	-5	+7	+14	3.0
▸ 2027 — real world (MLB)
2027	26	MLB CTX	LAA	100%	614	546	129	27	3	26	49	171	14	25	6	237	314	441	755	204	291	28	8	333	112	+9	+3	-5	+7	+13	2.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	LAA	100%	614	547	130	28	3	26	49	172	13	24	6	237	315	439	753	202	293	28	8	332	111	+8	+2	-5	+7	+13	2.5
2029	28	MLB MLE	LAA	100%	614	547	129	28	3	25	49	174	13	22	5	235	313	434	747	199	293	28	8	329	109	+7	+2	-6	+7	+13	2.3
2030	29	MLB MLE	LAA	100%	614	548	128	28	3	25	48	175	13	19	5	233	310	428	738	196	291	29	8	326	107	+5	+2	-7	+7	+13	2.0
2031	30	MLB MLE	LAA	100%	614	548	125	27	2	24	48	177	13	15	4	230	306	421	727	191	289	29	8	321	104	+3	+1	-7	+7	+13	1.7
2032	31	MLB MLE	LAA	100%	594	531	120	26	2	23	46	174	12	10	3	225	302	411	712	185	286	29	8	315	100	-0	+1	-8	+6	+13	1.2
2033	32	MLB MLE	LAA	100%	573	514	113	24	2	21	43	170	11	5	2	220	295	397	692	177	281	30	8	307	94	-4	+0	-8	+6	+12	0.6
2034	33	MLB MLE	LAA	100%	482	434	92	19	2	17	36	146	9	1	2	212	287	380	667	168	274	30	7	297	87	-7	-1	-8	+5	+10	-0.1
2035	34	MLB MLE	LAA	100%	426	384	78	16	1	14	31	132	8	0	1	203	276	359	636	156	266	31	7	284	79	-11	-0	-9	+5	+9	-0.6
2028	27	MLB CTX	LAA	100%	614	547	129	27	3	26	49	172	13	24	6	236	314	438	752	203	291	28	8	331	111	+8	+2	-5	+7	+13	2.5
2029	28	MLB CTX	LAA	100%	614	547	129	27	3	26	49	174	13	22	5	234	312	434	745	200	290	28	8	329	109	+7	+2	-6	+7	+13	2.3
2030	29	MLB CTX	LAA	100%	614	548	127	27	3	25	48	175	13	19	5	232	309	428	737	196	289	29	8	325	107	+5	+2	-7	+7	+13	2.0
2031	30	MLB CTX	LAA	100%	614	548	125	26	2	25	48	177	13	15	4	228	305	420	725	191	287	29	8	321	104	+3	+1	-7	+7	+13	1.7
2032	31	MLB CTX	LAA	100%	594	531	119	25	2	23	46	174	12	10	3	224	300	410	710	186	283	29	8	315	100	-0	+1	-8	+6	+13	1.2
2033	32	MLB CTX	LAA	100%	573	514	112	23	2	21	43	170	11	5	2	219	294	396	690	178	278	30	8	306	94	-4	+0	-8	+6	+12	0.6
2034	33	MLB CTX	LAA	100%	482	434	90	18	1	17	36	146	9	1	2	211	286	379	665	168	272	30	7	296	87	-7	-1	-8	+5	+10	-0.1
2035	34	MLB CTX	LAA	100%	426	384	77	15	1	14	31	132	8	0	1	202	275	359	634	157	263	31	7	284	79	-11	-0	-9	+5	+9	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6720	6005	1385	299	24	262	512	1901	152	181	60	231	307	419	727	189	290	28	8	322	105	+35	+12	-58	+73	+146	21.2
/ 162G	—	A+C		—	650	581	133	29	2	25	50	184	15	18	6	229	307	415	722	186	288	28	8	322	105	+3	+1	-6	+7	+14	2.1
Career	—	MLE		—	7609	6804	1592	353	29	295	570	2142	178	215	70	234	310	424	734	190	295	28	7	324	105	+43	+15	-63	+80	+159	23.8
/ 162G	—	MLE		—	650	581	135	30	2	25	49	183	15	18	6	232	309	420	728	188	293	28	8	324	105	+4	+1	-6	+7	+14	2.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAASalt Lake Bees · 58 PAwOBA .417 → .336 (−81)K% 22.4% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.41%	÷0.978	×1.200	—	—	27.50%
BB% (unintentional) /PA	12.07%	÷0.964	×0.690	—	×1.048	9.06%
HBP% /PA	3.45%	—	×0.940	—	×1.048	3.40%
Singles /BIP	19.44%	÷1.046	×0.930	—	×1.048	18.13%
Doubles /BIP	8.33%	÷1.005	×0.830	—	×1.048	7.21%
Triples /BIP	0.00%	÷1.079	×0.970	—	×1.048	0.00%
Home runs /BIP	11.11%	÷0.989	×0.700	—	×1.048	8.24%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 109, 2B 101, 3B 116, K 96, BB 93 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .417 → .336; ISO .306 → .227; BABIP .312 → .276. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AARocket City Trash Pandas · 34 PAwOBA .560 → .521 (−39)K% 23.5% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.032	×1.220	—	—	27.83%
BB% (unintentional) /PA	14.71%	÷1.017	×0.680	—	×1.042	10.24%
HBP% /PA	2.94%	—	×0.840	—	×1.042	2.57%
Singles /BIP	42.11%	÷0.985	×0.920	—	×1.042	40.99%
Doubles /BIP	5.26%	÷0.910	×0.910	—	×1.042	5.48%
Triples /BIP	0.00%	÷0.900	×0.880	—	×1.042	0.00%
Home runs /BIP	15.79%	÷0.970	×0.800	—	×1.042	13.56%

Factors used: league row SL. Park (home-season share, regressed): HR 94, 1B 97, 2B 82, 3B 80, K 106, BB 103 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).

Result: wOBA .560 → .521; ISO .370 → .345; BABIP .562 → .538. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAASalt Lake Bees · 16 PAwOBA .517 → .409 (−107)K% 25.0% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.010	×1.200	—	—	29.71%
BB% (unintentional) /PA	6.25%	÷1.005	×0.690	—	×1.050	4.51%
HBP% /PA	12.50%	—	×0.940	—	×1.050	12.34%
Singles /BIP	11.11%	÷1.058	×0.930	—	×1.050	10.26%
Doubles /BIP	11.11%	÷0.967	×0.830	—	×1.050	10.02%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.050	0.00%
Home runs /BIP	22.22%	÷1.003	×0.700	—	×1.050	16.28%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 112, 2B 93, 3B 80, K 102, BB 101 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .517 → .409; ISO .538 → .387; BABIP .286 → .242. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AARocket City Trash Pandas · 136 PAwOBA .379 → .334 (−45)K% 21.3% → 25.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.32%	÷1.023	×1.220	—	—	25.42%
BB% (unintentional) /PA	5.88%	÷1.041	×0.680	—	×1.050	4.04%
HBP% /PA	3.68%	—	×0.840	—	×1.050	3.24%
Singles /BIP	27.96%	÷1.020	×0.920	×1.006	×1.050	26.64%
Doubles /BIP	9.68%	÷0.978	×0.910	×1.006	×1.050	9.51%
Triples /BIP	0.00%	÷0.900	×0.880	×1.006	×1.050	0.00%
Home runs /BIP	4.30%	÷1.131	×0.800	—	×1.050	3.19%

Factors used: league row SL. Park (home-season share, regressed): HR 126, 1B 104, 2B 96, 3B 80, K 105, BB 108 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .379 → .334; ISO .172 → .143; BABIP .389 → .369. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 A+Tri-City Dust Devils · 31 PAwOBA .336 → .285 (−51)K% 12.9% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.90%	÷1.046	×1.350	—	—	16.65%
BB% (unintentional) /PA	12.90%	÷1.027	×0.710	—	×1.027	9.16%
HBP% /PA	6.45%	—	×0.810	—	×1.027	5.37%
Singles /BIP	14.29%	÷1.052	×0.910	—	×1.027	12.69%
Doubles /BIP	0.00%	÷0.939	×0.830	—	×1.027	0.00%
Triples /BIP	4.76%	÷1.150	×0.820	—	×1.027	3.49%
Home runs /BIP	4.76%	÷0.814	×0.830	—	×1.027	4.98%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 63, 1B 110, 2B 88, 3B 130, K 109, BB 106 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .336 → .285; ISO .200 → .187; BABIP .200 → .170. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jay Bell'86-'03 * career totals — 17 seasons, 8,525 PA	12.8	8,525	195	91	257*	334*	419*	+73	+9	39.1	36.0
/162	664	15	7	+5.7	+0.7	3.0	pk7: 33
#2Asdrúbal Cabreralast yr '21 career totals — 15 seasons, 7,401 PA	11.1	7,401	195	91	266	329	423	+58	+11	38.2	32.2
/162	664	17	8	+5.2	+1.0	3.4	pk7: 26
#3Travis Fryman'90-'02 * career totals — 13 seasons, 7,217 PA	10.9	7,217	223	72	264*	325*	440*	+35	+13	32.2	29.6
/162	664	21	7	+3.2	+1.2	3.0	pk7: 27
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	11.0	7,334	285	205	233	306	424	+76	+24	33.5	29.1
/162	664	26	19	+6.8	+2.2	3.0	pk7: 25
#4Doug Rader'67-'77 * career totals — 11 seasons, 5,832 PA	8.8	5,832	155	37	249*	320*	439*	+12	+51	29.6	26.6
/162	664	18	4	+1.4	+5.8	3.4	pk7: 24
#5Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24
#6Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	pk7: 16

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
Zach Neto (OGILVIE)	26	50	55	55	45	236/313/437	202	294	26	25	28%	8%	112	+2.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Sean Rodríguez 2011 · MLB	26	48→51	56→60	53→50	44	248/317/445	196	310	23	14	27%	7%	114	+2.3	227/303/367	140	280	14	12	23%	8%	91	+0.6	240/297/444	203	295	26	4	27%	5%	107	+0.9
●Jazz Chisholm Jr. 2023 · MLB	25	49→50	59→60	56→60	45	255/318/475	220	315	27	24	28%	8%	121	+2.9	253/317/457	204	313	27	31	27%	8%	116	+2.5	247/318/446	199	301	28	36	27%	9%	115	+2.1
●Ramón Laureano 2020 · MLB	26	51→58	57→60	54→55	43	262/322/459	198	324	25	18	27%	7%	119	+2.7	245/323/437	192	303	23	15	26%	8%	114	+2.4	261/326/449	189	336	22	13	27%	7%	119	+1.9
●Oneil Cruz 2024 · MLB	25	45→55	55→60	55→60	45	236/302/427	191	305	23	20	30%	8%	103	+1.6	241/313/430	189	323	24	28	31%	9%	109	+2.0	242/319/436	194	325	25	34	32%	10%	113	+2.0
✕Jake Marisnick 2018 · MLB	27	43→53	54→60	50→55	41	227/285/403	176	294	22	21	31%	6%	93	+0.8	235/293/426	191	311	23	16	31%	6%	101	+1.4	223/283/403	181	301	21	16	32%	6%	92	+0.4
★Preston Wilson 2001 · MLB	27	51→52	59→60	54→55	46	262/328/476	214	325	27	28	28%	8%	125	+3.2	263/328/476	213	308	27	21	23%	8%	125	+3.2	264/331/484	220	301	28	18	22%	8%	129	+3.3
●Zack Gelof 2024 · MLB	24	50→53	55	55	45	249/315/436	187	334	22	22	31%	8%	111	+2.1	229/296/404	175	307	22	23	31%	8%	97	+1.1	222/292/398	176	286	24	24	30%	8%	94	+0.7
●Chris Young 2009 · MLB	25	46→48	56→60	53→55	48	240/303/442	201	277	23	17	23%	8%	107	+1.9	237/318/424	187	285	21	18	23%	10%	109	+2.0	231/322/413	182	275	20	20	23%	11%	109	+2.1
✕Daulton Varsho 2022 · MLB	26	45→50	56→60	55→50	49	240/303/436	196	269	23	14	21%	8%	106	+1.8	227/294/419	192	265	24	15	24%	8%	99	+1.3	219/290/408	188	257	24	15	25%	8%	96	+1.0
●Steven Souza Jr. 2015 · MLB	26	53→59	55→60	54→55	48	269/334/463	193	330	23	24	25%	8%	124	+3.1	247/325/432	185	333	24	16	31%	10%	114	+2.3	235/324/427	192	316	26	14	32%	11%	113	+1.9
✕Royce Lewis 2024 · MLB	25	54→51	61→60	53→50	47	286/346/506	221	333	31	19	24%	8%	139	+4.1	240/296/424	184	280	24	12	24%	7%	101	+1.4	225/281/396	171	262	22	13	24%	7%	89	+0.4
✕Luis Robert Jr. 2024 · MLB	26	51→57	61→65	52→60	40	271/314/493	223	318	30	17	25%	5%	124	+3.1	231/289/405	174	290	23	26	28%	7%	95	+0.9	214/280/363	149	270	21	31	28%	8%	82	+0.0
✕B.J. Upton 2013 · MLB	28	46→56	56→60	57→60	48	241/309/438	197	292	24	30	26%	9%	109	+2.0	217/286/363	146	291	17	21	30%	9%	83	+0.1	225/287/370	145	297	17	25	29%	8%	85	+0.2
●Trevor Story 2020 · MLB	27	52→54	60→65	53→55	46	267/331/495	228	330	28	19	27%	8%	130	+3.5	254/322/459	205	311	24	22	25%	8%	118	+2.7	239/309/433	194	293	23	23	26%	8%	109	+1.4
✕Jonny DeLuca 2024 · MLB	26	43→37	56→60	56→55	47	232/299/428	196	258	24	15	21%	7%	103	+1.6	234/290/376	142	279	14	22	21%	6%	87	+0.4	237/287/370	132	284	13	27	21%	6%	85	+0.1
●Jeremy Peña 2023 · MLB	25	47→57	55	52→55	39	248/290/425	177	295	24	13	25%	4%	99	+1.3	262/312/402	140	309	15	15	20%	5%	101	+1.4	275/326/436	161	316	20	19	19%	5%	115	+2.3
✕James Outman 2024 · MLB	27	49→52	55→60	54→50	48	242/331/434	192	338	23	15	33%	10%	116	+2.5	213/295/389	176	306	21	15	35%	9%	93	+0.8	191/271/361	170	278	20	16	37%	8%	77	-0.2
★Randy Arozarena 2021 · MLB	26	53→59	54→55	51→55	45	267/343/451	184	328	22	23	25%	7%	125	+3.2	263/341/449	186	334	21	22	26%	8%	123	+3.0	247/350/436	189	305	22	23	25%	10%	125	+3.5
●Wil Myers 2017 · MLB	26	50→54	54→60	54→55	52	255/329/439	183	305	22	20	23%	10%	116	+2.5	250/324/451	201	320	24	19	28%	10%	118	+2.6	244/321/445	201	321	24	20	30%	10%	115	+2.1
●Harrison Bader 2021 · MLB	27	46→56	54→55	54→55	48	232/322/415	183	302	21	16	29%	9%	109	+2.0	245/300/402	157	289	18	20	22%	6%	97	+1.1	246/306/404	158	305	19	16	25%	6%	101	+0.8

Zach Neto

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps