Adriel Radney

OF ACL D-backs

Age 20 R/R 6'3" / 180 lbs ROK HR -11% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP35OGV rank#1345ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Arizona R…	130	.225/.333/.288	0	1	17	—	.140/.240/.175
2025	18	ROKDSL Arizona R…	209	.266/.369/.401	3	18	39	—	.168/.257/.234
2026	19	A/ROKARI	307	.233/.344/.322	3	4	41	—	.177/.262/.236
2027PROJMLE	20	MLBARI	417	.217/.284/.316	6	7	70	-0.3
2028PROJ25% MLB	21	MLBARI	62	.229/.297/.350	1	1	79	-0.1
2029PROJ38% MLB	22	MLBARI	137	.235/.303/.370	3	3	86	-0.0

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$4M+1

Skills · percentileMiLB Statcast 2026 A

Z-Con%63

Chase%55

K%50

BB%48

Whiff%43

wOBA14

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%

CompsAustin Dean (age 20) · Ceddanne Rafaela (age 20) · David Bote (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 192 proj PA

wRC+†70

AVG/OBP/SLG.215 / .282 / .313

PA192

HR3

K%26

BB%7

ISO99

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$1M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2033	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2034	Arb-2	$4M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-3	$4M	+0.3	$0.7M	+$0.0M (cut)
Totals		$2M		$5M	+$0.6M

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)
2024	17	ROK	DSL Arizona Red	—	130	111	25	3	2	0	14	25	4	1	1	225	333	288	622	63	287	19	11	291	17	—	—	—	—	—	—
2025	18	ROK	DSL Arizona Red	—	209	177	47	7	4	3	25	37	4	18	3	266	369	401	770	136	314	18	12	344	39	—	—	—	—	—	—
2026	19	A	Visalia Rawhide	—	117	99	21	1	0	0	14	28	3	0	1	212	328	222	550	10	296	24	12	268	36	—	—	—	—	—	—
2026	19	ROK	ACL D-backs	—	190	159	39	7	3	3	25	52	2	4	1	245	355	384	738	138	333	27	13	329	44	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Arizona Red	—	130	114	16	2	1	0	11	31	4	1	1	140	240	175	416	35	187	24	8	194	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Arizona Red	—	209	184	31	5	2	1	18	48	4	18	3	168	257	234	491	65	211	23	9	226	39	—	—	—	—	—	—
2026	19	A MLE	Visalia Rawhide	—	117	103	19	1	0	0	10	38	3	0	1	184	276	194	470	10	289	32	9	222	36	—	—	—	—	—	—
2026	19	ROK MLE	ACL D-backs	—	190	168	29	5	2	2	16	75	2	4	1	173	253	262	515	89	272	39	8	233	44	—	—	—	—	—	—
2024	17	ROK MLE	DSL Arizona Red	—	130	114	16	2	1	0	11	31	4	1	1	140	240	175	416	35	190	24	8	194	17	—	—	—	—	—	—
2024	17	ROK RAW	DSL Arizona Red	—	130	111	25	3	2	0	14	25	4	1	1	225	333	288	622	63	287	19	11	291	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Arizona Red	—	209	184	31	5	2	1	18	48	4	18	3	168	257	234	491	65	217	23	9	226	39	—	—	—	—	—	—
2025	18	ROK RAW	DSL Arizona Red	—	209	177	47	7	4	3	25	37	4	18	3	266	369	401	770	136	314	18	12	344	39	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	307	271	49	6	2	2	26	113	5	4	2	181	265	240	505	59	294	37	8	229	41	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	307	258	60	8	3	3	39	80	5	4	2	233	344	322	666	89	318	26	13	306	41	—	—	—	—	—	—
2024	17	ROK MLE	DSL Arizona Red	—	130	114	16	2	1	0	11	31	4	1	1	140	240	175	416	35	187	24	8	194	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Arizona Red	—	209	185	31	5	2	1	18	48	4	18	3	168	257	232	490	65	211	23	9	226	39	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	307	273	49	6	2	2	26	113	5	4	2	179	265	238	503	59	278	37	8	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Arizona Red	—	130	114	16	2	1	0	11	31	4	1	1	140	240	175	416	35	187	24	8	194	17	—	—	—	—	—	—
2025	18	ROK MLE	DSL Arizona Red	—	209	185	31	5	2	1	18	48	4	18	3	168	257	232	490	65	211	23	9	226	39	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	307	273	49	6	2	2	26	113	5	4	2	179	265	238	503	59	278	37	8	229	41	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	ARI	0%	417	378	82	14	3	6	31	106	5	7	2	217	284	316	600	99	282	25	7	272	70	-15	+1	-1	-3	+9	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	ARI	25%	251	227	51	9	2	5	19	63	3	5	1	223	292	339	631	117	284	25	8	284	79	-6	+1	-1	-2	+5	-0.3
2029	22	MLB MLE	ARI	38%	358	324	74	13	2	8	27	89	4	7	2	229	298	360	658	132	286	25	8	295	86	-6	+1	-1	-2	+8	-0.1
2030	23	MLB MLE	ARI	45%	427	386	89	15	3	11	33	104	5	8	2	233	302	376	678	143	287	24	8	303	91	-5	+1	-1	-3	+9	0.2
2031	24	MLB MLE	ARI	48%	468	423	100	17	3	14	36	114	6	9	3	236	306	387	693	151	289	24	8	309	95	-3	+1	-0	-3	+10	0.5
2032	25	MLB MLE	ARI	50%	493	445	106	18	3	15	39	119	6	9	3	238	308	394	703	156	289	24	8	312	98	-1	+1	+0	-3	+11	0.7
2033	26	MLB MLE	ARI	50%	505	454	108	18	3	16	40	122	6	9	3	239	309	398	707	159	289	24	8	314	99	-1	+1	+0	-3	+11	0.8
2034	27	MLB MLE	ARI	50%	507	456	108	18	3	16	40	123	6	9	3	238	308	396	703	158	288	24	8	313	98	-1	+1	+0	-3	+11	0.7
2035	28	MLB MLE	ARI	50%	502	451	106	18	3	15	40	123	6	8	3	236	306	391	697	155	287	25	8	310	96	-2	+0	-1	-3	+11	0.5
2036	29	MLB MLE	ARI	49%	492	444	104	17	3	15	39	122	6	7	3	234	303	384	687	151	286	25	8	306	93	-4	+0	-1	-3	+11	0.3
2037	30	MLB MLE	ARI	48%	480	435	101	17	3	14	37	121	5	6	3	230	299	377	676	146	284	25	8	301	90	-6	+0	-2	-3	+10	-0.0
2028	21	MLB CTX	ARI	25%	62	56	13	2	1	1	5	16	1	1	0	229	297	350	648	121	294	26	8	291	79	-2	+0	-0	-0	+1	-0.1
2029	22	MLB CTX	ARI	38%	137	124	28	5	1	3	10	34	2	3	1	235	303	370	674	136	296	25	7	301	86	-2	+0	-0	-1	+3	-0.0
2030	23	MLB CTX	ARI	45%	194	175	43	8	2	5	15	47	2	4	1	239	308	385	693	146	297	24	8	309	91	-2	+0	-0	-1	+4	0.1
2031	24	MLB CTX	ARI	48%	225	202	49	9	2	6	18	55	3	4	1	242	311	396	707	154	299	24	8	314	95	-1	+0	-0	-1	+5	0.2
2032	25	MLB CTX	ARI	50%	245	221	54	10	2	7	19	59	3	5	1	244	313	403	716	159	299	24	8	318	98	-1	+1	+0	-1	+5	0.4
2033	26	MLB CTX	ARI	50%	255	230	56	10	2	8	20	62	3	5	1	245	314	407	720	162	299	24	8	319	99	-0	+1	+0	-2	+6	0.4
2034	27	MLB CTX	ARI	50%	254	229	55	10	2	7	20	62	3	5	1	243	313	404	716	160	298	24	8	318	98	-1	+1	+0	-2	+6	0.4
2035	28	MLB CTX	ARI	50%	250	225	54	10	2	7	20	61	3	4	1	242	311	399	709	157	297	24	8	315	96	-1	+0	-0	-2	+5	0.3
2036	29	MLB CTX	ARI	49%	239	215	53	10	2	7	19	59	3	4	1	239	308	392	700	153	295	25	8	311	93	-2	+0	-1	-1	+5	0.2
2037	30	MLB CTX	ARI	48%	229	206	49	9	2	6	18	58	3	3	1	236	304	384	688	148	293	25	8	306	90	-3	+0	-1	-1	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2090	1883	454	83	18	57	164	513	26	38	9	241	311	395	706	154	300	25	8	313	86	-15	+4	-3	-13	+45	1.9
/ 162G	—	A+C		—	650	586	142	26	6	18	51	160	8	12	3	242	312	399	711	157	302	25	8	313	86	-5	+1	-1	-4	+14	0.6
Career	—	MLE		—	5321	4788	1081	180	34	135	419	1341	68	103	33	226	297	362	659	136	283	25	8	295	86	-42	+5	-7	-28	+101	3.0
/ 162G	—	MLE		—	650	585	131	22	4	16	51	164	8	13	4	224	295	357	652	133	281	25	8	295	86	-6	+1	-1	-4	+14	0.4

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 ROKACL D-backs · 190 PAwOBA .328 → .233 (−95)K% 27.4% → 39.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.37%	÷1.000	×1.440	—	—	39.41%
BB% (unintentional) /PA	13.16%	÷1.000	×0.620	—	×1.008	8.22%
HBP% /PA	1.05%	—	×0.720	—	×1.008	0.76%
Singles /BIP	24.30%	÷1.000	×0.820	×1.033	×1.008	20.74%
Doubles /BIP	6.54%	÷1.000	×0.720	×1.033	×1.008	4.90%
Triples /BIP	2.80%	÷1.000	×0.720	×1.033	×1.008	2.10%
Home runs /BIP	2.80%	÷1.000	×0.780	—	×1.008	2.20%

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 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 ×1.033.

Result: wOBA .328 → .233; ISO .138 → .097; BABIP .333 → .272. 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).

2026 AVisalia Rawhide · 117 PAwOBA .262 → .222 (−40)K% 23.9% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.93%	÷1.000	×1.360	—	—	32.55%
BB% (unintentional) /PA	11.97%	÷1.000	×0.690	—	×1.045	8.63%
HBP% /PA	2.56%	—	×0.780	—	×1.045	2.09%
Singles /BIP	28.17%	÷1.000	×0.920	×1.023	×1.045	27.70%
Doubles /BIP	1.41%	÷1.000	×0.830	×1.023	×1.045	1.25%
Triples /BIP	0.00%	÷1.000	×0.910	×1.023	×1.045	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	0.00%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .262 → .222; ISO .010 → .008; BABIP .296 → .289. 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 Arizona Red · 209 PAwOBA .341 → .226 (−114)K% 17.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.70%	÷0.944	×1.220	—	—	22.88%
BB% (unintentional) /PA	11.96%	÷0.986	×0.700	—	×1.008	8.56%
HBP% /PA	1.91%	—	×0.700	—	×1.008	1.35%
Singles /BIP	23.57%	÷1.013	×0.680	×1.032	×1.008	16.45%
Doubles /BIP	5.00%	÷0.922	×0.600	×1.032	×1.008	3.38%
Triples /BIP	2.86%	÷1.134	×0.600	×1.032	×1.008	1.57%
Home runs /BIP	2.14%	÷1.121	×0.470	—	×1.008	0.91%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 103, 2B 84, 3B 127, K 89, BB 97 — 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 ×1.032.

Result: wOBA .341 → .226; ISO .136 → .073; BABIP .314 → .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).

2024 DSLDSL Arizona Red · 130 PAwOBA .287 → .194 (−93)K% 19.2% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.23%	÷0.977	×1.220	—	—	24.01%
BB% (unintentional) /PA	10.77%	÷0.929	×0.700	—	×1.022	8.30%
HBP% /PA	3.08%	—	×0.700	—	×1.022	2.20%
Singles /BIP	23.26%	÷1.044	×0.680	×1.005	×1.022	15.55%
Doubles /BIP	3.49%	÷1.009	×0.600	×1.005	×1.022	2.13%
Triples /BIP	2.33%	÷1.150	×0.600	×1.005	×1.022	1.25%
Home runs /BIP	0.00%	÷1.165	×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 133, 1B 109, 2B 102, 3B 130, K 95, BB 86 — 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 ×1.005.

Result: wOBA .287 → .194; ISO .063 → .035; BABIP .287 → .187. 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
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#3Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,281	64	39	234	300	381	-14	+0	3.2	3.2
/162	664	19	11	-4.0	+0.0	0.9	pk7: 3
#4Leron Lee'69-'76 * career totals — 6 seasons, 1,769 PA	2.7	1,769	31	19	248*	306*	408*	-19	+0	2.2	2.5
/162	664	12	7	-7.2	+0.0	0.8	pk7: 3
#5Carl Warwick'61-'66 * career totals — 5 seasons, 1,616 PA	2.4	1,616	31	13	245*	309*	381*	-9	-1	1.4	1.4
/162	664	13	5	-3.6	-0.6	0.6	pk7: 1
#6Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	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
Adriel Radney (OGILVIE)	20	—	—	—	—	215/282/313	98	282	3	3	26%	7%	70	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Austin Dean 2014 · A	20	41→51	40→55	45	46	197/272/291	94	271	7	6	28%	8%	61	-1.5	236/283/332	96	298	7	6	22%	6%	74	-0.6	262/308/421	159	310	17	4	21%	5%	101	+1.0
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕David Bote 2013 · A	20	42→50	38→50	50→45	43	198/270/284	86	290	4	8	31%	8%	59	-1.7	190/265/272	82	267	5	6	28%	8%	55	-2.0	239/310/398	159	304	18	6	26%	8%	99	+1.0
✕Michael Hermosillo 2015 · A	20	42→49	39→55	51→55	43	201/272/293	93	294	6	11	32%	8%	61	-1.5	221/297/300	79	293	5	17	24%	8%	73	-0.6	234/309/359	124	316	12	20	28%	7%	88	+0.3
✕Yairo Muñoz 2015 · A	20	41→51	38→50	48→55	44	196/255/276	80	257	5	7	25%	6%	51	-2.3	227/263/335	108	278	10	9	22%	4%	67	-1.1	265/303/396	131	322	14	17	22%	4%	96	+0.6
●Esmerlyn Valdez 2024 · A	20	41→44	42→60	45→30	40	201/268/308	107	300	10	5	34%	7%	63	-1.3	207/289/374	167	303	21	3	37%	9%	88	+0.4	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Noelvi Marte 2021 · A	19	41→51	41→50	49→55	45	201/256/299	98	254	8	12	24%	7%	56	-1.9	233/299/372	139	304	15	16	27%	8%	90	+0.6	241/309/383	142	307	16	19	26%	8%	94	+0.7
✕Jose Siri 2015 · A	20	41→51	39→60	54→55	39	197/244/287	89	270	5	15	28%	5%	49	-2.4	190/219/301	111	302	9	17	39%	3%	42	-2.9	235/282/445	210	322	27	25	35%	5%	100	+0.9
✕Ke'Bryan Hayes 2017 · A	20	47→57	40→50	46→50	42	228/279/314	85	291	8	9	24%	5%	68	-1.0	244/302/346	102	311	7	14	22%	7%	84	+0.1	255/311/393	138	311	13	16	21%	7%	99	+1.0
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/270/292	91	260	7	13	25%	8%	60	-1.6	205/256/277	72	300	3	25	30%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Alexis Hernandez 2024 · A	21	44→50	39→50	52→50	48	209/282/296	87	276	7	15	26%	8%	66	-1.1	216/289/327	111	296	11	18	29%	8%	76	-0.4	220/295/346	126	292	14	18	28%	8%	80	-0.1
✕Edmundo Sosa 2016 · A	20	44→50	41→55	49→50	44	215/268/314	99	259	8	8	21%	5%	64	-1.3	232/269/315	83	303	6	6	24%	4%	64	-1.3	254/299/422	168	308	19	9	23%	4%	102	+0.7
●Jorge Bonifacio 2013 · A	20	46→51	43→55	47→45	39	225/268/343	118	299	10	6	28%	5%	70	-0.8	224/273/326	102	301	8	5	27%	6%	69	-0.9	243/310/399	156	318	17	3	28%	8%	99	+0.9
✕Juan Yepez 2018 · A	20	46→49	41→60	48→45	38	224/264/324	100	308	8	7	30%	5%	65	-1.2	227/274/340	113	305	10	7	28%	5%	72	-0.7	230/291/424	194	267	27	1	25%	7%	98	+0.8
✕Leo Jiménez 2021 · A	20	44→52	37→45	50→45	46	210/269/289	79	269	4	6	23%	7%	59	-1.7	240/354/332	92	308	6	8	22%	10%	103	+1.5	236/342/334	98	302	8	8	22%	9%	97	+0.6
●Cheslor Cuthbert 2013 · A	20	44→54	42→50	45	42	220/265/318	98	276	10	5	24%	6%	64	-1.3	227/272/334	107	279	10	7	21%	6%	70	-0.8	255/309/403	148	298	17	1	20%	7%	101	+0.7
●Cody Freeman 2021 · A	20	44→54	36→50	49→50	50	206/290/273	66	276	3	10	24%	9%	64	-1.3	205/269/313	108	250	11	9	22%	7%	65	-1.2	257/301/394	137	287	15	10	16%	5%	94	+0.6
✕Jhonkensy Noel 2021 · A	20	40→42	43→55	47→45	42	202/266/309	107	265	11	7	28%	6%	63	-1.3	222/273/394	172	288	23	5	31%	5%	86	+0.3	200/264/382	182	250	25	1	31%	6%	78	-0.3
●Koby Clemens 2007 · A	20	42→52	42→55	48→45	44	208/270/311	103	272	9	5	26%	7%	65	-1.2	219/284/350	131	301	13	4	30%	7%	79	-0.2	221/293/392	171	299	18	4	31%	8%	91	+0.6
✕Samad Taylor 2018 · A	20	46→56	37→50	51→65	42	214/270/289	75	303	4	10	30%	6%	59	-1.6	185/259/289	104	269	7	22	32%	8%	56	-1.9	242/320/377	134	335	14	46	29%	9%	98	+0.7

Adriel Radney

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps