Nolan Beltran

SS Clearwater Threshers

Age 22 L/R 5'11" / 160 lbs A HR +14% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1450ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKPHI	113	.234/.363/.372	3	2	47	—	.160/.257/.250
2025	20	APHI	131	.183/.266/.261	1	0	22	—	.168/.227/.244
2026	21	APHI	405	.272/.388/.382	5	7	81	—	.235/.325/.323
2027PROJMLE	22	MLBPHI	505	.201/.284/.296	7	8	67	0.0
2028PROJ34% MLB	23	MLBPHI	121	.207/.290/.316	2	2	72	0.0
2029PROJ46% MLB	24	MLBPHI	188	.211/.294/.327	4	3	76	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

K%88

Whiff%83

Z-Con%73

BB%65

Max EV59

Chase%58

Career WAR0.0 WAR median (P10 -0.1 / P90 1.9, comp-based) · star 1% · didn't stick 92%

CompsRodrigo Orozco (age 22) · Javi Vaz (age 22) · Miles Mastrobuoni (age 22)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†67

AVG/OBP/SLG.199 / .282 / .294

PA210

HR3

K%19

BB%9

ISO96

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 63 / POW 39

Toolsscout grade

CONTACT63

scouting grade only

POWER39

scouting grade only

EYE58

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.6M	+$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)
2022	17	ROK	DSL Phillies White	—	187	146	33	7	0	0	31	18	4	5	3	226	374	274	648	48	254	10	17	305	37	—	—	—	—	—	—
2023	18	ROK	DSL Phillies Red	—	128	111	33	5	2	1	15	22	0	3	4	297	381	405	786	108	356	17	12	350	38	—	—	—	—	—	—
2024	19	ROK	FCL Phillies	—	113	94	22	4	0	3	17	22	2	2	2	234	363	372	735	138	275	19	15	339	47	—	—	—	—	—	—
2025	20	A	Clearwater Threshers	—	131	115	21	4	1	1	13	18	0	0	0	183	266	261	526	78	206	14	10	240	22	—	—	—	—	—	—
2026	21	A	Clearwater Threshers	—	405	335	91	22	0	5	56	55	8	7	1	272	388	382	770	110	308	14	14	349	81	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Phillies White	—	187	156	26	5	0	0	22	23	4	5	3	167	286	199	484	32	182	12	12	223	37	—	—	—	—	—	—
2023	18	ROK MLE	DSL Phillies Red	—	128	116	21	3	1	0	10	26	0	3	4	181	246	224	470	43	223	20	8	224	38	—	—	—	—	—	—
2024	19	ROK MLE	FCL Phillies	—	113	100	16	3	0	2	11	30	2	2	2	160	257	250	507	90	207	27	10	238	47	—	—	—	—	—	—
2025	20	A MLE	Clearwater Threshers	—	131	119	20	4	1	1	9	23	0	0	0	168	227	244	470	76	185	18	7	201	22	—	—	—	—	—	—
2026	21	A MLE	Clearwater Threshers	—	405	353	83	19	0	4	39	75	8	7	1	235	325	323	648	88	275	19	10	288	81	—	—	—	—	—	—
2022	17	ROK MLE	DSL Phillies White	—	187	156	26	5	0	0	22	23	4	5	3	167	286	199	484	32	193	12	12	223	37	—	—	—	—	—	—
2022	17	ROK RAW	DSL Phillies White	—	187	146	33	7	0	0	31	18	4	5	3	226	374	274	648	48	254	10	17	305	37	—	—	—	—	—	—
2023	18	ROK MLE	DSL Phillies Red	—	128	116	21	3	1	0	10	26	0	3	4	181	246	224	470	43	228	20	8	224	38	—	—	—	—	—	—
2023	18	ROK RAW	DSL Phillies Red	—	128	111	33	5	2	1	15	22	0	3	4	297	381	405	786	108	356	17	12	350	38	—	—	—	—	—	—
2024	19	ROK MLE	FCL Phillies	—	113	100	16	3	0	2	11	30	2	2	2	160	257	250	507	90	206	27	10	238	47	—	—	—	—	—	—
2024	19	ROK RAW	FCL Phillies	—	113	94	22	4	0	3	17	22	2	2	2	234	363	372	735	138	275	19	15	339	47	—	—	—	—	—	—
2025	20	A MLE	Clearwater Threshers	—	131	119	20	4	1	1	9	23	0	0	0	168	227	244	470	76	198	18	7	201	22	—	—	—	—	—	—
2025	20	A RAW	Clearwater Threshers	—	131	115	21	4	1	1	13	18	0	0	0	183	266	261	526	78	206	14	10	240	22	—	—	—	—	—	—
2026	21	A MLE	Clearwater Threshers	—	405	353	83	19	0	4	39	75	8	7	1	235	325	323	648	88	284	19	10	288	81	—	—	—	—	—	—
2026	21	A RAW	Clearwater Threshers	—	405	335	91	22	0	5	56	55	8	7	1	272	388	382	770	110	308	14	14	349	81	—	—	—	—	—	—
2022	17	ROK MLE	DSL Phillies White	—	187	159	26	5	0	0	22	23	4	5	3	164	286	195	481	31	182	12	12	223	37	—	—	—	—	—	—
2023	18	ROK MLE	DSL Phillies Red	—	128	117	21	3	1	0	10	26	0	3	4	179	246	222	468	43	223	20	8	224	38	—	—	—	—	—	—
2024	19	ROK MLE	FCL Phillies	—	113	99	16	3	0	2	11	30	2	2	2	162	257	253	509	91	207	27	10	238	47	—	—	—	—	—	—
2025	20	A MLE	Clearwater Threshers	—	131	121	20	4	1	1	9	23	0	0	0	165	227	240	466	74	185	18	7	201	22	—	—	—	—	—	—
2026	21	A MLE	Clearwater Threshers	—	405	355	83	19	0	4	39	75	8	7	1	234	325	321	646	87	275	19	10	288	81	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	FCL Phillies	—	113	99	16	3	0	2	11	30	2	2	2	162	257	253	509	91	207	27	10	238	47	—	—	—	—	—	—
2025	20	A MLE	Clearwater Threshers	—	131	121	20	4	1	1	9	23	0	0	0	165	227	240	466	74	185	18	7	201	22	—	—	—	—	—	—
2026	21	A MLE	Clearwater Threshers	—	405	355	83	19	0	4	39	75	8	7	1	234	325	321	646	87	275	19	10	288	81	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	PHI	0%	505	448	91	19	2	7	46	98	6	8	2	201	284	296	581	96	239	19	9	267	67	-20	+1	+0	+5	+11	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	PHI	34%	353	313	64	13	1	6	33	68	4	5	1	206	289	312	601	106	242	19	9	275	72	-12	+1	+0	+4	+8	0.0
2029	24	MLB MLE	PHI	46%	408	362	76	15	2	7	38	79	5	6	2	210	293	323	616	113	246	19	9	280	76	-12	+0	+0	+4	+9	0.2
2030	25	MLB MLE	PHI	52%	443	394	84	17	2	9	41	86	5	7	2	212	295	330	625	117	248	19	9	284	78	-11	+1	+0	+5	+10	0.4
2031	26	MLB MLE	PHI	54%	459	409	88	18	2	9	42	90	5	7	2	214	296	333	630	119	250	20	9	286	80	-11	+1	+0	+5	+10	0.4
2032	27	MLB MLE	PHI	54%	463	412	88	18	2	9	43	92	5	6	2	215	297	335	631	120	251	20	9	286	80	-11	+0	+0	+5	+10	0.4
2033	28	MLB MLE	PHI	54%	461	411	88	18	2	9	42	92	5	5	1	213	295	330	625	117	251	20	9	284	78	-12	+1	-1	+5	+10	0.3
2034	29	MLB MLE	PHI	53%	452	403	85	17	2	8	41	92	5	3	1	211	292	324	617	114	250	20	9	281	76	-13	+0	-1	+5	+10	0.1
2035	30	MLB MLE	PHI	52%	441	393	81	16	1	8	40	91	5	2	1	208	289	317	606	109	249	21	9	276	73	-14	+0	-2	+5	+10	-0.2
2028	23	MLB CTX	PHI	34%	121	108	21	4	0	2	11	23	1	2	0	207	290	316	606	109	242	19	9	277	72	-4	+0	+0	+1	+3	0.0
2029	24	MLB CTX	PHI	46%	188	167	36	7	1	4	17	36	2	3	1	211	294	327	622	116	246	19	9	283	76	-5	+0	+0	+2	+4	0.1
2030	25	MLB CTX	PHI	52%	229	203	44	9	1	5	21	44	3	3	1	214	296	335	631	121	248	19	9	286	78	-6	+0	+0	+2	+5	0.2
2031	26	MLB CTX	PHI	54%	249	221	47	9	1	5	23	49	3	4	1	215	298	338	636	123	250	20	9	288	80	-6	+0	+0	+3	+5	0.2
2032	27	MLB CTX	PHI	54%	251	223	47	9	1	5	23	50	3	3	1	216	298	340	638	124	252	20	9	289	80	-6	+0	+0	+3	+5	0.2
2033	28	MLB CTX	PHI	54%	250	222	47	9	1	5	23	50	3	3	1	214	296	335	632	121	251	20	9	286	78	-6	+0	-0	+3	+5	0.1
2034	29	MLB CTX	PHI	53%	240	213	46	9	1	5	22	49	3	2	1	212	294	329	623	117	250	20	9	283	76	-7	+0	-1	+3	+5	0.0
2035	30	MLB CTX	PHI	52%	231	206	43	8	1	4	21	48	2	1	0	209	290	322	612	112	249	21	9	278	73	-7	+0	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1759	1563	331	64	7	35	161	349	20	21	6	212	294	329	622	117	249	20	9	284	72	-48	+2	-2	+19	+38	0.9
/ 162G	—	A+C		—	650	578	123	24	3	13	59	129	7	8	2	213	293	332	626	119	251	20	9	284	72	-18	+1	-1	+7	+14	0.3
Career	—	MLE		—	4654	4127	858	174	17	75	430	908	56	61	23	208	291	313	604	105	247	20	9	274	72	-104	+4	-4	+40	+80	1.5
/ 162G	—	MLE		—	650	576	119	24	2	10	60	127	8	9	3	207	290	307	598	101	246	20	9	274	72	-18	+1	-1	+7	+14	0.3

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.

2026 AClearwater Threshers · 405 PAwOBA .345 → .288 (−56)K% 13.6% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.58%	÷1.000	×1.360	—	—	18.47%
BB% (unintentional) /PA	13.83%	÷1.000	×0.690	—	×1.015	9.68%
HBP% /PA	1.98%	—	×0.780	—	×1.015	1.56%
Singles /BIP	22.86%	÷1.000	×0.920	×0.983	×1.015	20.99%
Doubles /BIP	7.86%	÷1.000	×0.830	×0.983	×1.015	6.51%
Triples /BIP	0.00%	÷1.000	×0.910	×0.983	×1.015	0.00%
Home runs /BIP	1.79%	÷1.000	×0.800	—	×1.015	1.45%

Factors used: level-wide A 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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .345 → .288; ISO .110 → .092; BABIP .308 → .275. 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).

2025 AClearwater Threshers · 131 PAwOBA .236 → .201 (−35)K% 13.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.74%	÷1.065	×1.360	—	—	17.54%
BB% (unintentional) /PA	9.92%	÷0.975	×0.690	—	×1.030	7.23%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	15.46%	÷1.030	×0.920	×0.984	×1.030	14.00%
Doubles /BIP	4.12%	÷0.975	×0.830	×0.984	×1.030	3.56%
Triples /BIP	1.03%	÷0.923	×0.910	×0.984	×1.030	1.03%
Home runs /BIP	1.03%	÷1.083	×0.800	—	×1.030	0.78%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 106, 2B 95, 3B 85, K 113, BB 95 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .236 → .201; ISO .078 → .068; BABIP .206 → .185. 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 ROKFCL Phillies · 113 PAwOBA .331 → .238 (−93)K% 19.5% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.47%	÷1.042	×1.440	—	—	26.91%
BB% (unintentional) /PA	15.04%	÷0.982	×0.620	—	×1.008	9.57%
HBP% /PA	1.77%	—	×0.720	—	×1.008	1.28%
Singles /BIP	20.83%	÷1.073	×0.820	×0.999	×1.008	16.03%
Doubles /BIP	5.56%	÷1.015	×0.720	×0.999	×1.008	3.97%
Triples /BIP	0.00%	÷0.994	×0.720	×0.999	×1.008	0.00%
Home runs /BIP	4.17%	÷0.924	×0.780	—	×1.008	3.54%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 115, 2B 103, 3B 99, K 108, BB 96 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .331 → .238; ISO .138 → .109; BABIP .275 → .207. 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 DSLDSL Phillies Red · 128 PAwOBA .347 → .224 (−123)K% 17.2% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.19%	÷1.035	×1.220	—	—	20.26%
BB% (unintentional) /PA	11.72%	÷1.036	×0.700	—	×1.008	7.98%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	28.09%	÷1.028	×0.680	×0.968	×1.008	18.12%
Doubles /BIP	5.62%	÷1.032	×0.600	×0.968	×1.008	3.18%
Triples /BIP	2.25%	÷0.981	×0.600	×0.968	×1.008	1.34%
Home runs /BIP	1.12%	÷1.046	×0.470	—	×1.008	0.51%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 106, 2B 106, 3B 96, K 107, BB 107 — 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 ×0.968.

Result: wOBA .347 → .224; ISO .108 → .061; BABIP .356 → .223. 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 DSLDSL Phillies White · 187 PAwOBA .302 → .223 (−79)K% 9.6% → 12.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.63%	÷0.961	×1.220	—	—	12.22%
BB% (unintentional) /PA	16.58%	÷1.033	×0.700	—	×1.022	11.49%
HBP% /PA	2.14%	—	×0.700	—	×1.022	1.53%
Singles /BIP	20.31%	÷0.991	×0.680	×1.050	×1.022	14.97%
Doubles /BIP	5.47%	÷1.018	×0.600	×1.050	×1.022	3.46%
Triples /BIP	0.00%	÷1.090	×0.600	×1.050	×1.022	0.00%
Home runs /BIP	0.00%	÷0.849	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 98, 2B 104, 3B 118, K 92, BB 107 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .302 → .223; ISO .048 → .033; BABIP .254 → .182. 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
#1Gordon 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
#2Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
#5Luis Rivera'86-'98 * career totals — 8 seasons, 2,453 PA	3.7	2,453	28	20	232*	291*	357*	+24	+5	1.2	2.3
/162	664	8	5	+6.4	+1.4	0.3	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.0	1,970	36	24	211	290	325	+21	+15	2.2	2.2
/162	664	12	8	+7.1	+5.1	0.7	pk7: 2
#6Ryan 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

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
Nolan Beltran (OGILVIE)	22	58→63	34→39	45→50	58	199/282/294	95	239	3	3	19%	9%	67	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rodrigo Orozco 2017 · A	22	46→56	39→40	47→50	49	220/278/305	85	266	6	9	19%	7%	65	-1.2	239/295/314	75	308	3	12	21%	7%	74	-0.6	242/300/314	72	309	2	15	21%	7%	73	-0.4
✕Javi Vaz 2023 · A	22	46→50	40	47→55	52	219/293/316	97	267	6	10	20%	9%	75	-0.5	227/301/321	94	255	7	18	14%	9%	78	-0.3	224/300/308	85	249	7	20	12%	9%	73	-0.6
✕Miles Mastrobuoni 2018 · A	22	46→56	37→45	49→60	48	220/278/292	73	277	5	13	22%	8%	63	-1.4	239/298/310	71	316	4	12	24%	8%	74	-0.5	253/317/360	108	325	8	21	23%	8%	89	+0.4
✕Brandon Trinkwon 2015 · A	23	46→51	40	49→50	52	218/282/313	95	246	7	10	14%	8%	70	-0.9	227/292/306	79	273	7	8	18%	8%	72	-0.7	229/295/298	69	276	6	7	18%	8%	68	-0.8
✕Rob Brantly 2011 · A	22	47→57	38→50	45→30	51	223/292/303	80	262	5	6	16%	8%	71	-0.8	242/284/343	101	284	8	3	17%	5%	77	-0.3	235/298/334	99	273	9	1	17%	5%	79	-0.1
✕Darwin Barney 2008 · A	22	49→57	40	50	45	231/276/329	98	268	6	9	16%	5%	70	-0.8	244/284/323	79	291	4	8	17%	5%	72	-0.7	259/296/338	79	290	4	9	12%	4%	79	-0.2
✕Andrew Aplin 2014 · A	23	46→56	42→40	52→55	53	222/289/333	111	253	9	14	16%	9%	77	-0.3	235/308/317	82	287	6	22	18%	10%	80	-0.1	233/308/303	70	291	5	27	20%	10%	75	-0.4
✕Zack Granite 2015 · A	22	49→59	35→40	48→60	47	226/273/286	59	268	2	11	16%	6%	58	-1.7	250/299/321	71	294	3	24	15%	6%	76	-0.4	266/314/342	76	305	3	30	13%	6%	83	+0.1
✕Alejo Lopez 2018 · A	22	47→57	38→40	51→55	49	223/281/306	83	255	5	11	15%	6%	67	-1.1	238/289/305	67	296	3	8	19%	5%	70	-0.9	269/335/357	88	309	5	12	14%	8%	96	+0.8
✕Darius Hill 2021 · A	23	44→54	41→40	47→45	46	214/259/312	97	247	8	8	17%	6%	60	-1.6	254/292/346	92	310	7	6	20%	5%	80	-0.2	264/304/358	94	319	6	5	18%	5%	83	+0.1
✕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
✕Dan Robinson 2019 · A	22	51	38→40	51→50	51	240/301/329	89	282	4	10	16%	8%	80	-0.2	211/279/287	76	278	4	7	23%	8%	63	-1.4	191/267/255	64	255	2	5	24%	9%	47	-1.6
✕L.T. Tolbert 2019 · A	23	45→53	37→40	45→40	48	211/267/285	75	256	4	6	19%	7%	57	-1.8	237/283/319	82	290	6	5	19%	5%	70	-0.8	253/295/329	76	303	6	3	18%	4%	76	-0.3
✕Jake Peter 2015 · A	22	51→57	39→45	51→50	45	242/286/337	94	284	4	5	16%	5%	76	-0.4	240/287/323	83	312	5	11	23%	6%	73	-0.6	239/291/333	94	326	9	8	28%	6%	74	-0.4
✕LuJames Groover 2024 · A	22	47→55	40→45	47→40	48	225/287/324	99	261	7	8	16%	6%	74	-0.5	243/309/357	114	287	11	6	18%	8%	90	+0.6	250/320/355	105	298	10	4	18%	8%	92	+0.5
✕Colin Walsh 2012 · A	22	43→52	41→45	50	53	207/286/311	104	254	8	9	21%	10%	71	-0.8	233/303/355	122	292	11	7	23%	9%	87	+0.4	214/321/331	117	302	10	7	29%	13%	87	+0.3
✕Leon Landry 2012 · A	22	47→54	39→45	52→55	43	223/263/317	94	266	5	15	18%	5%	62	-1.4	227/258/335	108	270	7	19	18%	4%	64	-1.3	231/257/339	108	270	7	23	17%	3%	62	-1.1
✕Brad McElroy 2009 · A	23	44→54	38→40	54→55	49	209/283/293	84	262	5	10	21%	8%	65	-1.2	221/290/317	96	293	6	18	25%	8%	74	-0.6	229/296/327	98	299	6	23	24%	7%	75	-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
✕Jacob Gonzalez 2024 · A	22	44→45	38→45	46→50	51	208/290/285	76	270	6	6	24%	9%	67	-1.1	218/275/329	111	256	11	12	19%	6%	71	-0.8	220/279/347	127	253	14	13	19%	6%	75	-0.4

Nolan Beltran

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps