Nelson Beltran

SS ACL Athletics

Age 25 R/R 5'10" / 160 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2176ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	21	A/ROKOAK	214	.184/.315/.257	1	6	15	—	.134/.230/.187
2024	22	AOAK	342	.206/.330/.276	3	11	31	—	.160/.257/.210
2025	23	ROKOAK	143	.217/.415/.274	1	4	37	—	.145/.296/.188
2027PROJMLE	25	MLBOAK	200	.209/.286/.314	3	3	71	0.0
2028PROJ30% MLB	26	MLBOAK	24	.218/.295/.336	0	0	75	0.0
2029PROJ42% MLB	27	MLBOAK	57	.219/.295/.338	1	1	76	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031Ext$0.0M2032Ext$0.0M2033Ext$0.9M2034Ext$1.0M+4

Skills · percentileMiLB Statcast 2025 Rk

BB%84

Chase%64

wOBA55

wRC+55

ISO24

K%22

CompsSam Praytor (age 25) · JJ Schwarz (age 25) · J.E. Cruz (age 25)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 47 proj PA

wRC+†71

AVG/OBP/SLG.207 / .284 / .311

PA47

HR1

K%29

BB%8

ISO105

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	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. 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)
2019	17	ROK	DSL Athletics	—	147	126	21	1	0	0	13	38	6	10	1	167	276	175	450	8	236	26	9	224	-14	—	—	—	—	—	—
2021	19	ROK	DSL Athletics	—	136	114	30	6	2	0	14	41	7	13	1	263	378	351	729	88	405	30	10	336	30	—	—	—	—	—	—
2022	20	ROK	ACL Athletics	—	144	119	32	7	2	3	16	43	9	7	2	269	396	437	833	168	397	30	11	377	55	—	—	—	—	—	—
2023	21	A	Stockton Ports	—	130	112	13	6	0	0	16	55	2	0	2	116	238	170	408	54	228	42	12	205	-20	—	—	—	—	—	—
2023	21	ROK	ACL Athletics	—	84	67	20	2	1	1	13	15	3	6	1	299	434	403	837	104	365	18	15	381	70	—	—	—	—	—	—
2024	22	A	Stockton Ports	—	342	286	59	7	2	3	42	107	11	11	3	206	330	276	607	70	315	31	12	288	31	—	—	—	—	—	—
2025	23	ROK	ACL Athletics	—	143	106	23	3	0	1	27	40	9	4	2	217	415	274	689	57	333	28	19	340	37	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	17	ROK MLE	DSL Athletics	—	147	130	14	1	0	0	9	46	6	10	1	108	200	115	315	8	153	31	6	147	-14	—	—	—	—	—	—
2021	19	ROK MLE	DSL Athletics	—	136	118	18	3	1	0	10	50	7	13	1	153	259	195	454	42	258	37	7	212	30	—	—	—	—	—	—
2022	20	ROK MLE	ACL Athletics	—	144	125	23	5	1	2	10	62	9	7	2	184	292	288	580	104	321	43	7	250	55	—	—	—	—	—	—
2023	21	A MLE	Stockton Ports	—	130	117	9	4	0	0	11	75	2	0	2	77	169	111	280	34	211	58	8	138	-20	—	—	—	—	—	—
2023	21	ROK MLE	ACL Athletics	—	84	72	16	1	1	1	8	21	3	6	1	222	325	306	631	83	284	25	10	272	70	—	—	—	—	—	—
2024	22	A MLE	Stockton Ports	—	342	300	48	5	2	2	28	143	11	11	3	160	257	210	467	50	282	42	8	214	31	—	—	—	—	—	—
2025	23	ROK MLE	ACL Athletics	—	143	117	17	2	0	1	16	59	9	4	2	145	296	188	484	43	249	41	11	223	37	—	—	—	—	—	—
2019	17	ROK MLE	DSL Athletics	—	147	130	14	1	0	0	9	46	6	10	1	108	200	115	315	8	165	31	6	147	-14	—	—	—	—	—	—
2019	17	ROK RAW	DSL Athletics	—	147	126	21	1	0	0	13	38	6	10	1	167	276	175	450	8	236	26	9	224	-14	—	—	—	—	—	—
2021	19	ROK MLE	DSL Athletics	—	136	118	18	3	1	0	10	50	7	13	1	153	259	195	454	42	261	37	7	212	30	—	—	—	—	—	—
2021	19	ROK RAW	DSL Athletics	—	136	114	30	6	2	0	14	41	7	13	1	263	378	351	729	88	405	30	10	336	30	—	—	—	—	—	—
2022	20	ROK MLE	ACL Athletics	—	144	125	23	5	1	2	10	62	9	7	2	184	292	288	580	104	344	43	7	250	55	—	—	—	—	—	—
2022	20	ROK RAW	ACL Athletics	—	144	119	32	7	2	3	16	43	9	7	2	269	396	437	833	168	397	30	11	377	55	—	—	—	—	—	—
2023	21	A MLE	2 teams	—	214	189	25	5	1	1	19	96	5	6	3	132	230	185	415	53	258	45	9	191	15	—	—	—	—	—	—
2023	21	A RAW	2 teams	—	214	179	33	8	1	1	29	70	5	6	3	184	315	257	572	73	294	33	14	274	15	—	—	—	—	—	—
2024	22	A MLE	Stockton Ports	—	342	300	48	5	2	2	28	143	11	11	3	160	257	210	467	50	293	42	8	214	31	—	—	—	—	—	—
2024	22	A RAW	Stockton Ports	—	342	286	59	7	2	3	42	107	11	11	3	206	330	276	607	70	315	31	12	288	31	—	—	—	—	—	—
2025	23	ROK MLE	ACL Athletics	—	143	117	17	2	0	1	16	59	9	4	2	145	296	188	484	43	276	41	11	223	37	—	—	—	—	—	—
2025	23	ROK RAW	ACL Athletics	—	143	106	23	3	0	1	27	40	9	4	2	217	415	274	689	57	333	28	19	340	37	—	—	—	—	—	—
2019	17	ROK MLE	DSL Athletics	—	147	131	14	1	0	0	9	46	6	10	1	107	200	115	315	8	153	31	6	147	-14	—	—	—	—	—	—
2021	19	ROK MLE	DSL Athletics	—	136	118	18	3	1	0	10	50	7	13	1	153	259	195	454	42	258	37	7	212	30	—	—	—	—	—	—
2022	20	ROK MLE	ACL Athletics	—	144	124	23	5	1	2	10	62	9	7	2	185	292	290	582	105	321	43	7	250	55	—	—	—	—	—	—
2023	21	A MLE	2 teams	—	214	188	25	5	1	1	19	96	5	6	3	133	230	186	416	53	240	45	9	191	15	—	—	—	—	—	—
2024	22	A MLE	Stockton Ports	—	342	300	48	5	2	2	28	143	11	11	3	160	257	210	467	50	282	42	8	214	31	—	—	—	—	—	—
2025	23	ROK MLE	ACL Athletics	—	143	117	17	2	0	1	16	59	9	4	2	145	296	188	484	43	249	41	11	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	22	A MLE	Stockton Ports	—	342	300	48	5	2	2	28	143	11	11	3	160	257	210	467	50	282	42	8	214	31	—	—	—	—	—	—
2025	23	ROK MLE	ACL Athletics	—	143	117	17	2	0	1	16	59	9	4	2	145	296	188	484	43	249	41	11	223	37	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	OAK	0%	200	179	37	7	1	3	16	57	3	3	1	209	286	314	600	105	283	28	8	273	71	-7	+0	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	26	MLB MLE	OAK	30%	80	72	14	3	0	1	7	23	1	1	0	212	289	326	615	114	284	29	9	279	75	-2	+0	+0	+1	+2	0.0
2029	27	MLB MLE	OAK	42%	136	122	27	5	1	3	11	38	2	2	0	213	290	328	618	115	284	28	8	280	76	-4	+0	+0	+1	+3	0.1
2030	28	MLB MLE	OAK	48%	176	157	33	6	1	3	14	49	3	2	1	213	290	327	617	115	284	28	8	280	76	-5	+0	-1	+2	+4	-0.0
2028	26	MLB CTX	OAK	30%	24	22	4	1	0	0	2	7	0	0	0	218	295	336	631	118	293	29	8	285	75	-1	+0	+0	+0	+1	0.0
2029	27	MLB CTX	OAK	42%	57	51	11	2	0	1	5	16	1	1	0	219	295	338	633	119	294	28	9	286	76	-2	+0	+0	+1	+1	0.0
2030	28	MLB CTX	OAK	48%	84	76	16	3	0	2	7	24	1	1	0	219	295	337	632	118	293	29	8	286	76	-2	+0	-0	+1	+2	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	165	149	31	6	0	3	14	47	2	2	0	208	285	309	594	101	283	28	8	286	40	-5	+0	-0	+2	+4	0.1
/ 162G	—	A+C		—	650	587	123	24	0	12	55	185	8	8	0	210	286	312	598	102	285	28	8	286	40	-19	+2	-1	+7	+14	0.2
Career	—	MLE		—	1565	1372	228	37	7	14	128	579	54	57	13	166	264	234	498	68	272	37	8	227	40	-13	+1	-1	+5	+10	0.1
/ 162G	—	MLE		—	650	570	95	15	3	6	53	240	22	24	5	167	263	235	498	68	272	37	8	227	40	-19	+1	-1	+7	+14	0.2

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 ROKACL Athletics · 143 PAwOBA .335 → .223 (−112)K% 28.0% → 41.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.97%	÷0.983	×1.440	—	—	40.98%
BB% (unintentional) /PA	18.88%	÷0.971	×0.620	—	×0.955	11.51%
HBP% /PA	6.29%	—	×0.720	—	×0.955	4.33%
Singles /BIP	28.79%	÷1.039	×0.820	×1.010	×0.955	21.92%
Doubles /BIP	4.55%	÷1.020	×0.720	×1.010	×0.955	3.10%
Triples /BIP	0.00%	÷0.989	×0.720	×1.010	×0.955	0.00%
Home runs /BIP	1.52%	÷0.926	×0.780	—	×0.955	1.22%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 108, 2B 104, 3B 98, K 97, BB 94 — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .335 → .223; ISO .057 → .039; BABIP .333 → .249. 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).

2024 AStockton Ports · 342 PAwOBA .283 → .214 (−69)K% 31.3% → 41.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.29%	÷1.015	×1.360	—	—	41.90%
BB% (unintentional) /PA	12.28%	÷1.021	×0.690	—	×0.990	8.22%
HBP% /PA	3.22%	—	×0.780	—	×0.990	2.48%
Singles /BIP	26.26%	÷1.004	×0.920	×1.001	×0.990	23.86%
Doubles /BIP	3.91%	÷0.979	×0.830	×1.001	×0.990	3.29%
Triples /BIP	1.12%	÷0.900	×0.910	×1.001	×0.990	1.12%
Home runs /BIP	1.68%	÷1.164	×0.800	—	×0.990	1.14%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 133, 1B 101, 2B 96, 3B 80, K 103, BB 104 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .283 → .214; ISO .070 → .051; BABIP .315 → .282. 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 AStockton Ports · 130 PAwOBA .201 → .138 (−63)K% 42.3% → 57.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	42.31%	÷0.996	×1.360	—	—	57.78%
BB% (unintentional) /PA	12.31%	÷1.004	×0.690	—	—	8.46%
HBP% /PA	1.54%	—	×0.780	—	—	1.20%
Singles /BIP	12.28%	÷0.979	×0.920	×1.050	—	12.12%
Doubles /BIP	10.53%	÷1.026	×0.830	×1.050	—	8.94%
Triples /BIP	0.00%	÷0.945	×0.910	×1.050	—	0.00%
Home runs /BIP	0.00%	÷0.945	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 96, 2B 105, 3B 89, K 99, BB 101 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .201 → .138; ISO .054 → .034; BABIP .228 → .211. 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 ROKACL Athletics · 84 PAwOBA .377 → .272 (−105)K% 17.9% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.018	×1.440	—	—	25.25%
BB% (unintentional) /PA	15.48%	÷1.030	×0.620	—	×0.975	9.09%
HBP% /PA	3.57%	—	×0.720	—	×0.975	2.51%
Singles /BIP	30.77%	÷0.974	×0.820	×0.984	×0.975	24.83%
Doubles /BIP	3.85%	÷1.051	×0.720	×0.984	×0.975	2.53%
Triples /BIP	1.92%	÷1.149	×0.720	×0.984	×0.975	1.16%
Home runs /BIP	1.92%	÷0.989	×0.780	—	×0.975	1.48%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 95, 2B 110, 3B 130, K 104, BB 106 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .377 → .272; ISO .104 → .073; BABIP .365 → .284. 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 ROKACL Athletics · 144 PAwOBA .368 → .250 (−118)K% 29.9% → 43.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.86%	÷0.997	×1.440	—	—	43.11%
BB% (unintentional) /PA	11.11%	÷1.017	×0.620	—	×0.985	6.67%
HBP% /PA	6.25%	—	×0.720	—	×0.985	4.43%
Singles /BIP	26.32%	÷1.007	×0.820	×1.050	×0.985	22.17%
Doubles /BIP	9.21%	÷0.981	×0.720	×1.050	×0.985	6.99%
Triples /BIP	2.63%	÷1.011	×0.720	×1.050	×0.985	1.94%
Home runs /BIP	3.95%	÷0.950	×0.780	—	×0.985	3.19%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 101, 2B 96, 3B 102, K 99, BB 103 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .368 → .250; ISO .168 → .113; BABIP .397 → .321. 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).

2021 DSLDSL Athletics · 136 PAwOBA .331 → .212 (−119)K% 30.1% → 36.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.15%	÷1.000	×1.220	—	—	36.78%
BB% (unintentional) /PA	10.29%	÷1.000	×0.700	—	×0.985	7.10%
HBP% /PA	5.15%	—	×0.700	—	×0.985	3.55%
Singles /BIP	30.14%	÷1.000	×0.680	×0.980	×0.985	19.79%
Doubles /BIP	8.22%	÷1.000	×0.600	×0.980	×0.985	4.76%
Triples /BIP	2.74%	÷1.000	×0.600	×0.980	×0.985	1.59%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×0.985	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .331 → .212; ISO .088 → .050; BABIP .405 → .258. 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).

2019 DSLDSL Athletics · 147 PAwOBA .220 → .147 (−73)K% 25.9% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.85%	÷1.000	×1.220	—	—	31.54%
BB% (unintentional) /PA	8.84%	÷1.000	×0.700	—	×1.008	6.24%
HBP% /PA	4.08%	—	×0.700	—	×1.008	2.88%
Singles /BIP	22.73%	÷1.000	×0.680	×0.950	×1.008	14.79%
Doubles /BIP	1.14%	÷1.000	×0.600	×0.950	×1.008	0.65%
Triples /BIP	0.00%	÷1.000	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .220 → .147; ISO .008 → .005; BABIP .236 → .153. 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
#1Ehire Adrianzalast yr '22 career totals — 9 seasons, 1,519 PA	2.3	1,519	20	19	240	310	353	+10	+13	4.0	4.4
/162	664	9	8	+4.2	+5.5	1.8	pk7: 5
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
/162	664	9	5	+4.2	+14.4	0.8	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Paul Popovich'64-'75 * career totals — 8 seasons, 1,909 PA	2.9	1,909	14	4	233*	288*	323*	+10	+20	0.2	0.9
/162	664	5	1	+3.5	+7.0	0.1	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.3	211	4	3	213	287	326	+2	+6	0.2	0.2
/162	664	12	8	+7.1	+18.8	0.7	pk7: 0
#6David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0

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
Nelson Beltran (OGILVIE)	25	—	—	—	—	207/284/311	104	283	1	1	29%	8%	71	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sam Praytor 2024 · A	25	37	42→45	49→55	40	187/249/289	101	268	10	6	33%	6%	53	-2.1	203/271/315	112	272	11	8	28%	8%	67	-1.1	191/269/298	107	248	11	9	26%	8%	59	-0.5
✕JJ Schwarz 2021 · A	25	38	40→45	48→30	43	189/253/279	90	264	9	6	31%	7%	51	-2.2	212/279/326	114	294	12	3	30%	8%	72	-0.7	205/275/317	113	280	13	1	30%	9%	66	-0.6
✕J.E. Cruz 2006 · A	25	38→47	42→45	52→45	43	191/259/289	98	263	10	12	30%	7%	56	-1.9	208/278/306	98	280	7	8	26%	8%	67	-1.1	205/279/304	99	274	6	6	25%	8%	65	-0.8
✕Sean Jamieson 2014 · A	25	43→44	43→45	50	44	210/276/328	118	277	10	12	27%	7%	71	-0.8	229/287/331	102	310	8	9	27%	6%	76	-0.4	232/290/322	90	317	6	7	27%	6%	71	-0.4
✕Nick Vickerson 2014 · A	25	37	42→40	49→50	48	187/274/289	103	259	10	13	30%	10%	63	-1.4	200/295/298	98	281	9	11	29%	10%	72	-0.7	182/296/265	82	256	7	11	28%	12%	63	-0.8
✕Drake Osborn 2023 · A	25	39	43→50	49→40	42	196/257/301	105	263	10	6	29%	6%	58	-1.7	188/241/296	108	254	12	4	30%	5%	51	-2.3	176/228/279	103	235	12	2	30%	5%	40	-1.4
✕Jackson Brennan 2008 · A	25	43→41	42→40	47→50	47	208/298/311	103	280	9	10	27%	8%	77	-0.3	209/295/297	88	297	7	10	29%	9%	72	-0.7	165/280/182	17	263	0	6	32%	12%	40	-0.6
✕Ryan McCarty 2024 · A	25	41→38	43→45	47→50	43	198/274/311	113	289	9	8	33%	8%	67	-1.1	196/265/293	97	275	9	11	30%	7%	59	-1.6	187/259/272	85	258	9	12	29%	7%	50	-1.4
✕Connor Kaiser 2021 · A	24	38	42→45	46→50	46	189/265/291	102	263	10	6	30%	8%	59	-1.7	193/262/310	117	276	12	11	32%	8%	62	-1.4	179/257/294	115	257	12	17	33%	9%	54	-0.8
✕Ronnie Richardson 2014 · A	24	43	41→40	47→50	45	211/274/317	106	277	8	8	26%	7%	68	-1.0	213/301/309	96	285	6	10	25%	9%	77	-0.3	204/305/297	93	275	5	10	24%	10%	74	-0.3
✕Tony Bullard 2024 · A	24	40	44→40	52→50	43	202/263/315	113	267	12	12	29%	7%	63	-1.3	214/271/319	105	285	9	12	27%	6%	68	-1.0	210/267/311	102	278	9	13	27%	6%	61	-0.5
✕Jeferson Morales 2024 · A	25	40→47	45	51→50	45	202/283/328	127	268	13	10	28%	8%	75	-0.5	225/294/348	123	279	11	8	22%	7%	82	+0.0	227/297/352	126	275	11	7	21%	6%	82	+0.0
✕Tyler Reichenborn 2023 · A	25	41→43	39→45	47→50	45	199/272/283	84	272	8	13	28%	8%	59	-1.6	209/279/316	107	283	11	11	28%	8%	70	-0.9	174/252/307	134	221	17	8	29%	8%	56	-0.5
✕Shayne Fontana 2022 · AA	25	40	41→45	48→55	46	195/273/300	105	283	8	8	32%	9%	63	-1.3	215/297/319	104	298	10	14	29%	8%	78	-0.3	219/303/314	95	294	10	19	27%	8%	77	-0.2
✕Harrison Spohn 2024 · A	25	39	45	45	45	202/266/321	119	264	14	8	29%	8%	66	-1.1	175/236/260	85	299	8	8	41%	7%	40	-3.0	141/204/204	63	260	5	7	45%	7%	13	-2.3
✕Jose Pineda 2007 · A	25	42→39	43→45	49→45	43	205/275/315	110	292	11	10	32%	8%	68	-1.0	216/270/360	144	301	17	7	33%	6%	76	-0.4	210/258/376	166	280	22	3	33%	5%	73	-0.5
✕Seth Bynum 2006 · A	25	44→43	43→50	50	44	214/273/330	116	281	9	9	27%	7%	70	-0.8	210/263/308	98	288	9	8	28%	6%	61	-1.5	213/254/351	138	280	17	5	30%	5%	65	-0.9
✕Chadd Krist 2015 · A	25	39	41→40	44→45	42	195/257/291	96	267	8	6	29%	7%	55	-1.9	193/247/290	97	279	9	6	32%	6%	51	-2.2	149/199/236	88	209	10	0	34%	5%	17	-1.5
✕Mike Ahmed 2017 · A	25	43→44	45→50	47→50	44	213/281/336	123	294	13	11	31%	8%	75	-0.5	208/270/323	115	312	12	9	35%	7%	68	-1.0	194/252/293	99	303	10	7	37%	6%	52	-0.8
✕Jason Leblebijian 2016 · A	25	39→49	41→45	47→45	41	195/251/295	100	263	8	9	28%	6%	54	-2.0	213/268/324	111	314	11	8	34%	6%	67	-1.1	212/269/321	110	316	12	7	35%	6%	64	-0.9

Nelson Beltran

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps