Adrian Bello

C FCL Marlins

Age 21 S/R 5'11" / 165 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1395ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKMIA	148	.181/.293/.220	0	5	-4	—	.114/.204/.136
2025	19	ROKMIA	178	.275/.432/.442	4	8	58	—	.173/.295/.240
2026	20	ROKMIA	149	.278/.385/.405	2	12	62	—	.209/.284/.306
2027PROJMLE	21	MLBMIA	259	.204/.277/.288	3	5	61	0.0
2028PROJ34% MLB	22	MLBMIA	43	.202/.276/.290	1	1	67	0.0
2029PROJ48% MLB	23	MLBMIA	99	.205/.279/.301	1	2	71	0.0

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

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Whiff%67

K%63

Z-Con%59

wRC+58

ISO55

wOBA48

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsNoah Miller (age 21) · Arquímedes Gamboa (age 21) · Riley Unroe (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 77 proj PA

wRC+†61

AVG/OBP/SLG.202 / .274 / .286

PA77

HR1

K%28

BB%8

ISO85

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 45 / POW 35

Toolsscout grade

CONTACT45

scouting grade only

POWER35

scouting grade only

EYE60

scouting grade only

SPEED50

scouting grade only

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	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2023	17	ROK	DSL Marlins	—	125	110	24	6	2	1	12	36	2	0	0	218	306	336	643	118	311	29	10	291	14	—	—	—	—	—	—
2024	18	ROK	DSL Marlins	—	148	127	23	5	0	0	18	53	2	5	2	181	293	220	513	39	307	36	12	248	-4	—	—	—	—	—	—
2025	19	ROK	DSL Marlins	—	178	138	38	5	3	4	36	34	2	8	3	275	432	442	874	167	333	19	20	392	58	—	—	—	—	—	—
2026	20	ROK	FCL Marlins	—	149	126	35	10	0	2	20	28	2	12	3	278	385	405	790	127	340	19	13	357	62	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Marlins	—	125	113	16	4	1	0	9	44	2	0	0	142	218	195	412	53	216	35	7	189	14	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	148	132	15	3	0	0	13	64	2	5	2	114	204	136	340	23	211	43	9	163	-4	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	178	150	26	3	2	1	24	43	2	8	3	173	295	240	535	67	225	24	13	254	58	—	—	—	—	—	—
2026	20	ROK MLE	FCL Marlins	—	149	134	28	7	0	2	12	40	2	12	3	209	284	306	590	97	279	27	8	260	62	—	—	—	—	—	—
2023	17	ROK MLE	DSL Marlins	—	125	113	16	4	1	0	9	44	2	0	0	142	218	195	412	53	229	35	7	189	14	—	—	—	—	—	—
2023	17	ROK RAW	DSL Marlins	—	125	110	24	6	2	1	12	36	2	0	0	218	306	336	643	118	311	29	10	291	14	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	148	132	15	3	0	0	13	64	2	5	2	114	204	136	340	23	217	43	9	163	-4	—	—	—	—	—	—
2024	18	ROK RAW	DSL Marlins	—	148	127	23	5	0	0	18	53	2	5	2	181	293	220	513	39	307	36	12	248	-4	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	178	150	26	3	2	1	24	43	2	8	3	173	295	240	535	67	231	24	13	254	58	—	—	—	—	—	—
2025	19	ROK RAW	DSL Marlins	—	178	138	38	5	3	4	36	34	2	8	3	275	432	442	874	167	333	19	20	392	58	—	—	—	—	—	—
2026	20	ROK MLE	FCL Marlins	—	149	134	28	7	0	2	12	40	2	12	3	209	284	306	590	97	280	27	8	260	62	—	—	—	—	—	—
2026	20	ROK RAW	FCL Marlins	—	149	126	35	10	0	2	20	28	2	12	3	278	385	405	790	127	340	19	13	357	62	—	—	—	—	—	—
2023	17	ROK MLE	DSL Marlins	—	125	113	16	4	1	0	9	44	2	0	0	142	218	195	412	53	216	35	7	189	14	—	—	—	—	—	—
2024	18	ROK MLE	DSL Marlins	—	148	132	15	3	0	0	13	64	2	5	2	114	204	136	340	23	211	43	9	163	-4	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	178	150	26	3	2	1	24	43	2	8	3	173	295	240	535	67	225	24	13	254	58	—	—	—	—	—	—
2026	20	ROK MLE	FCL Marlins	—	149	134	28	7	0	2	12	40	2	12	3	209	284	306	590	97	279	27	8	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Marlins	—	148	132	15	3	0	0	13	64	2	5	2	114	204	136	340	23	211	43	9	163	-4	—	—	—	—	—	—
2025	19	ROK MLE	DSL Marlins	—	178	150	26	3	2	1	24	43	2	8	3	173	295	240	535	67	225	24	13	254	58	—	—	—	—	—	—
2026	20	ROK MLE	FCL Marlins	—	149	134	28	7	0	2	12	40	2	12	3	209	284	306	590	97	279	27	8	260	62	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	MIA	0%	259	234	49	9	2	3	21	72	2	5	1	204	277	288	565	85	279	28	8	259	61	-12	+1	+0	+5	+6	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	MIA	34%	125	113	24	4	1	2	10	34	1	2	1	208	282	303	585	95	281	27	8	267	67	-5	+0	+0	+2	+3	-0.0
2029	23	MLB MLE	MIA	48%	205	184	39	7	1	3	17	55	2	4	1	212	286	315	600	103	282	27	8	273	71	-7	+0	+0	+4	+4	0.1
2030	24	MLB MLE	MIA	53%	290	261	56	10	2	5	24	77	3	5	1	215	289	324	613	109	284	27	8	278	74	-9	+1	+0	+5	+6	0.3
2031	25	MLB MLE	MIA	55%	348	313	67	12	2	6	29	92	3	7	2	217	291	330	621	113	284	26	8	281	76	-10	+1	+0	+6	+8	0.5
2032	26	MLB MLE	MIA	56%	381	342	75	14	2	7	32	100	4	7	2	219	292	335	627	116	284	26	8	283	78	-10	+1	+0	+7	+8	0.6
2033	27	MLB MLE	MIA	55%	396	356	77	14	2	7	33	104	4	7	2	218	291	332	623	114	284	26	8	282	77	-11	+1	+0	+7	+9	0.5
2034	28	MLB MLE	MIA	55%	399	359	77	14	2	7	33	106	4	6	2	216	289	327	616	111	283	27	8	279	75	-12	+0	-1	+7	+9	0.4
2035	29	MLB MLE	MIA	53%	393	354	76	14	2	7	33	105	3	6	2	213	286	321	607	108	281	27	8	275	73	-13	+0	-1	+7	+9	0.2
2036	30	MLB MLE	MIA	53%	385	347	73	13	2	6	32	105	3	5	2	210	283	313	596	103	279	27	8	271	69	-14	+0	-2	+7	+8	-0.1
2028	22	MLB CTX	MIA	34%	43	39	8	1	0	1	4	12	0	1	0	202	276	290	566	89	272	28	9	259	67	-2	+0	+0	+1	+1	0.0
2029	23	MLB CTX	MIA	48%	99	90	18	3	1	1	8	27	1	2	1	205	279	301	581	96	273	27	8	265	71	-3	+0	+0	+2	+2	0.0
2030	24	MLB CTX	MIA	53%	153	138	28	5	1	2	13	41	1	3	1	208	282	310	592	102	275	27	8	270	74	-5	+0	+0	+3	+3	0.2
2031	25	MLB CTX	MIA	55%	190	170	35	6	1	3	16	50	2	4	1	210	284	316	601	106	275	26	8	273	76	-5	+0	+0	+3	+4	0.3
2032	26	MLB CTX	MIA	56%	212	190	40	7	1	4	18	56	2	4	1	212	286	320	606	108	275	26	8	275	78	-6	+0	+0	+4	+5	0.3
2033	27	MLB CTX	MIA	55%	218	196	41	7	1	4	18	57	2	4	1	211	285	318	602	107	274	26	8	274	77	-6	+0	+0	+4	+5	0.3
2034	28	MLB CTX	MIA	55%	218	196	41	7	1	4	18	58	2	4	1	209	283	313	596	104	274	27	8	271	75	-6	+0	-0	+4	+5	0.2
2035	29	MLB CTX	MIA	53%	210	189	39	7	1	3	17	56	2	3	1	206	280	307	587	101	272	27	8	267	73	-7	+0	-1	+4	+5	0.1
2036	30	MLB CTX	MIA	53%	202	181	37	6	1	3	17	55	2	3	1	204	277	300	576	96	270	27	8	263	69	-7	+0	-1	+4	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1545	1389	287	49	8	25	129	412	14	28	8	207	281	307	588	101	273	27	8	270	67	-47	+2	-2	+28	+33	1.4
/ 162G	—	A+C		—	650	584	121	21	3	11	54	173	6	12	3	207	281	310	591	103	273	27	8	270	67	-20	+1	-1	+12	+14	0.6
Career	—	MLE		—	3599	3228	663	122	19	54	307	990	36	75	23	205	282	305	587	100	276	28	9	267	67	-94	+4	-4	+54	+65	2.5
/ 162G	—	MLE		—	650	583	120	22	3	10	55	179	7	14	4	206	282	305	587	99	276	28	8	267	67	-20	+1	-1	+12	+14	0.5

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 ROKFCL Marlins · 149 PAwOBA .349 → .260 (−89)K% 18.8% → 27.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.79%	÷1.000	×1.440	—	—	27.06%
BB% (unintentional) /PA	12.75%	÷1.000	×0.620	—	×0.995	7.87%
HBP% /PA	1.34%	—	×0.720	—	×0.995	0.96%
Singles /BIP	23.47%	÷1.000	×0.820	×1.050	×0.995	20.11%
Doubles /BIP	10.20%	÷1.000	×0.720	×1.050	×0.995	7.68%
Triples /BIP	0.00%	÷1.000	×0.720	×1.050	×0.995	0.00%
Home runs /BIP	2.04%	÷1.000	×0.780	—	×0.995	1.58%

Factors used: level-wide ROK 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 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .349 → .260; ISO .127 → .094; BABIP .340 → .279. 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 DSLDSL Marlins · 178 PAwOBA .385 → .254 (−131)K% 19.1% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.10%	÷0.973	×1.220	—	—	23.96%
BB% (unintentional) /PA	19.66%	÷1.029	×0.700	—	×0.995	13.31%
HBP% /PA	1.12%	—	×0.700	—	×0.995	0.78%
Singles /BIP	25.00%	÷0.955	×0.680	×1.029	×0.995	18.24%
Doubles /BIP	4.81%	÷1.073	×0.600	×1.029	×0.995	2.75%
Triples /BIP	2.88%	÷1.097	×0.600	×1.029	×0.995	1.62%
Home runs /BIP	3.85%	÷1.383	×0.470	—	×0.995	1.30%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 177, 1B 91, 2B 115, 3B 119, K 95, BB 106 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .385 → .254; ISO .167 → .079; BABIP .333 → .225. 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 DSLDSL Marlins · 148 PAwOBA .244 → .163 (−82)K% 35.8% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.81%	÷1.004	×1.220	—	—	43.52%
BB% (unintentional) /PA	12.16%	÷0.997	×0.700	—	×1.008	8.60%
HBP% /PA	1.35%	—	×0.700	—	×1.008	0.95%
Singles /BIP	24.32%	÷0.976	×0.680	×1.024	×1.008	17.49%
Doubles /BIP	6.76%	÷1.059	×0.600	×1.024	×1.008	3.95%
Triples /BIP	0.00%	÷0.933	×0.600	×1.024	×1.008	0.00%
Home runs /BIP	0.00%	÷0.940	×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): HR 88, 1B 95, 2B 112, 3B 87, K 101, BB 99 — 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 ×1.024.

Result: wOBA .244 → .163; ISO .039 → .022; BABIP .307 → .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 DSLDSL Marlins · 125 PAwOBA .287 → .189 (−97)K% 28.8% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.80%	÷1.006	×1.220	—	—	34.94%
BB% (unintentional) /PA	9.60%	÷0.997	×0.700	—	×1.022	6.89%
HBP% /PA	1.60%	—	×0.700	—	×1.022	1.15%
Singles /BIP	20.27%	÷0.968	×0.680	×1.038	×1.022	15.12%
Doubles /BIP	8.11%	÷0.990	×0.600	×1.038	×1.022	5.22%
Triples /BIP	2.70%	÷1.150	×0.600	×1.038	×1.022	1.50%
Home runs /BIP	1.35%	÷1.285	×0.470	—	×1.022	0.51%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 94, 2B 98, 3B 130, K 101, BB 99 — 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 ×1.038.

Result: wOBA .287 → .189; ISO .118 → .063; BABIP .311 → .216. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.4	1,622	28	28	216	286	325	+29	+24	2.5	2.4
/162	664	11	11	+11.9	+9.8	1.0	pk7: 2
#4Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#5Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#6Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1

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
Adrian Bello (OGILVIE)	21	45	35	50	60	202/274/286	84	279	1	1	28%	8%	61	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Arquímedes Gamboa 2019 · A	21	43→44	37→40	48→50	45	203/266/276	74	281	5	7	28%	8%	55	-1.9	190/267/267	77	281	5	14	31%	9%	54	-2.0	202/287/292	90	293	7	15	31%	10%	64	-0.7
✕Riley Unroe 2017 · A	21	42→47	36→45	46→55	44	199/262/261	62	279	4	12	29%	7%	50	-2.3	203/271/281	78	291	6	12	30%	8%	58	-1.7	218/301/329	112	292	11	26	27%	10%	78	-0.1
✕Frainyer Chavez 2021 · A	22	44→47	36→40	50	44	210/266/274	64	282	3	15	26%	7%	54	-2.0	207/274/272	65	290	4	11	28%	8%	57	-1.8	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Angel Franco 2011 · A	21	47→50	36→40	48→50	45	222/269/287	65	276	3	12	21%	6%	57	-1.8	236/278/322	86	275	6	7	16%	5%	69	-0.9	245/284/333	88	284	6	8	15%	5%	70	-0.5
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Abiezel Ramirez 2021 · A	21	43	38→40	54→55	44	205/266/286	81	277	4	14	26%	7%	57	-1.8	189/254/294	105	346	10	13	44%	8%	55	-1.9	165/238/268	103	295	10	15	44%	8%	41	-1.2
✕Jose R. Flores 2009 · A	21	46→49	38→40	49→45	44	219/268/294	75	274	5	8	22%	6%	59	-1.6	229/279/312	83	287	6	8	21%	6%	68	-1.0	239/286/318	79	286	5	7	18%	5%	68	-0.7
✕Cutter Dykstra 2010 · A	21	41→51	40	47→55	43	199/261/283	85	276	8	11	30%	7%	55	-1.9	223/280/299	76	311	6	16	28%	7%	65	-1.2	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Deivi Estrada 2022 · A	21	43	36→30	46→50	47	200/276/265	66	284	3	8	29%	9%	57	-1.8	184/240/252	68	328	3	8	42%	6%	40	-3.1	144/185/202	58	313	3	4	52%	4%	4	-1.2
✕Darwin Perez 2009 · A	20	44→53	36→40	54→50	46	203/275/276	73	292	3	10	29%	9%	59	-1.7	231/292/302	71	324	3	12	27%	8%	70	-0.8	238/302/305	67	328	3	14	26%	8%	72	-0.6
✕Dalfis Ortiz 2013 · A	21	44	35→40	43→55	52	203/285/265	61	276	2	10	25%	10%	60	-1.6	200/265/273	73	242	2	14	17%	8%	53	-2.1	210/273/300	89	245	1	18	14%	8%	63	-0.5
✕Jeremy Rivera 2016 · A	21	43→53	37→40	51→50	42	204/262/281	77	285	4	8	29%	6%	55	-2.0	231/261/298	67	295	2	7	21%	4%	57	-1.8	239/267/300	61	303	2	7	21%	3%	56	-1.4
✕Leo Rivas 2019 · A	21	43→53	37→40	52→65	50	199/289/274	75	295	4	13	31%	10%	64	-1.3	200/279/285	85	300	6	10	32%	9%	62	-1.4	244/357/336	92	322	8	44	24%	14%	103	+1.0
✕Yonathan Mendoza 2015 · A	21	46	35→30	46→45	50	216/280/274	58	267	2	8	19%	8%	59	-1.6	244/296/307	63	293	3	6	17%	7%	72	-0.7	255/305/308	53	303	3	5	16%	6%	75	-0.3
✕Marcus Littlewood 2013 · A	21	41	40→45	48→45	41	200/252/291	91	274	8	7	29%	6%	53	-2.1	200/269/308	108	272	9	5	28%	9%	64	-1.3	207/274/317	110	265	10	4	25%	8%	65	-0.6
✕Josh Johnson 2006 · A	20	43→50	39→45	48→50	50	203/281/298	95	268	5	9	24%	9%	66	-1.1	222/309/292	70	291	3	10	22%	11%	75	-0.5	247/316/346	99	293	8	16	17%	9%	86	+0.2
✕Willmer De La Cruz 2024 · A	21	42	36→30	50→55	46	191/277/255	64	298	3	15	34%	10%	55	-1.9	197/272/263	66	330	3	13	37%	9%	55	-2.0	162/255/195	33	292	0	21	40%	10%	30	-0.8
✕Angelo Mora 2014 · A	21	41→51	36→45	48→45	41	198/241/266	68	262	4	13	26%	5%	42	-2.9	228/270/315	87	306	4	6	25%	5%	64	-1.3	259/294/363	103	333	5	4	23%	4%	81	-0.0
✕Joseph Rosa 2018 · A	21	46→45	37→40	52→50	46	216/268/293	77	264	4	16	19%	6%	59	-1.7	200/263/272	72	289	5	10	30%	7%	53	-2.1	206/281/301	95	299	7	14	31%	8%	65	-0.8

Adrian Bello

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps